None:\\n if event.key == K_0:\\n self._update_input('0')\\n elif event.key == K_1:\\n self._update_input('1')\\n elif event.key == K_2:\\n self._update_input('2')\\n elif event.key == K_3:\\n self._update_input('3')\\n elif event.key == K_4:\\n self._update_input('4')\\n elif event.key == K_5:\\n self._update_input('5')\\n elif event.key == K_6:\\n self._update_input('6')\\n elif event.key == K_7:\\n self._update_input('7')\\n elif event.key == K_8:\\n self._update_input('8')\\n elif event.key == K_9:\\n self._update_input('9')\\n elif event.key == K_BACKSPACE:\\n self._update_input('BACKSPACE')\",\n \"def window_handler(self):\\n self.open_window()\\n cv2.setMouseCallback(self.window_name, self.click_handler)\\n finish = False\\n while not finish:\\n\\n key = cv2.waitKey(0)\\n\\n finish = self.manage_key(key)\",\n \"def keyPressEvent(self, event):\\n self.game_engine.input_manager.keyPressEvent(event)\",\n \"def bindKeys(self):\\r\\n self.c.bind(\\\"<Button-1>\\\",self.seek)\\r\\n self.c.bind(\\\"<MouseWheel>\\\",self.app.zoom)\\r\\n self.c.bind(\\\"<Button-3>\\\",self.peek)\",\n \"def __window_focus(self):\\n pass\",\n \"def keypress(self, size, key):\\n pos = self.get_focus()[1]\\n _ll = len(self.body)\\n if (pos <= 0 and key == 'up') or (pos >= _ll-1 and key == 'down'):\\n return\\n else:\\n return super(ClosedListBox, self).keypress(size, key)\",\n \"def activate(self):\\n appuifw.app.exit_key_handler = self.exit_key_handler\",\n \"def keypress(self, event):\\n events = {\\n '1': lambda: self.slot.set(1),\\n '2': lambda: self.slot.set(2),\\n '6': lambda: self.digits.set(6),\\n '8': lambda: self.digits.set(8),\\n }\\n try:\\n events[event.keysym]()\\n except KeyError:\\n pass\\n if event.keysym in ('1', '2', 'Return', 'Enter'):\\n self.get_totp()\\n self.root.wm_withdraw()\",\n \"def on_window_key_press_event(self, widget, data=None):\\n\\n if not self.enabled:\\n return\\n\\n if data.keyval == gtk.keysyms.plus:\\n self.webclient.set_resize_factor(self.webclient.RESIZE_FACTOR + 0.1)\\n self.refresh()\\n elif data.keyval == gtk.keysyms.minus:\\n if self.webclient.RESIZE_FACTOR > 1.2:\\n self.webclient.set_resize_factor(self.webclient.RESIZE_FACTOR - 0.1)\\n self.refresh()\\n elif data.keyval == gtk.keysyms.F5:\\n self.refresh()\\n elif data.keyval == gtk.keysyms.Left:\\n self.on_btPagePrev_clicked(widget)\\n elif data.keyval == gtk.keysyms.Right:\\n self.on_btPageNext_clicked(widget)\\n elif data.keyval == gtk.keysyms.Up:\\n self.on_btSubPagePrev_clicked(widget)\\n elif data.keyval == gtk.keysyms.Down:\\n self.on_btSubPageNext_clicked(widget)\\n elif data.keyval in (gtk.keysyms.q, gtk.keysyms.Q):\\n self.on_window_destroy(widget)\\n elif data.state & gtk.gdk.CONTROL_MASK and data.keyval in (gtk.keysyms.l, gtk.keysyms.L):\\n self.pageNumber.grab_focus()\",\n \"def k_press(self, key: KKey):\\n pass\",\n \"def handle_keypress(self,key):\\r\\n if len(key) == 0:\\r\\n return True\\r\\n \\r\\n # Whenever we start typing scroll to the bottom\\r\\n self.scroll_bottom() \\r\\n\\r\\n if self.cursor_visible:\\r\\n if ord(key) == BACKSPACE_KEY: # If backspace and we aren't at start point of buffer, remove one char\\r\\n if self.cursor_absolute_position > self.cursor_min_length:\\r\\n self.lines[-1] = self.lines[-1][0:-1]\\r\\n self.entered_text_buffer = self.entered_text_buffer[0:-1]\\r\\n self.cursor_absolute_position-=1\\r\\n elif ord(key) == RETURN_KEY:\\r\\n # Hit return, count it as an entered command and return\\r\\n return False \\r\\n else:\\r\\n self.print_text(key)\\r\\n self.cursor_absolute_position+=1\\r\\n self.entered_text_buffer += key\\r\\n\\r\\n return True\",\n \"def on_key_press(self, key: int, modifiers: int) -> None:\\n if key == arcade.key.ESCAPE:\\n self.window.show_view(self.game_view)\",\n \"def keypress(self, key, state=None):\\n\\n\\t\\tself._interface.keypress(key, state)\",\n \"def _onkeyrelease(self, fun, key):\\n if fun is None:\\n self.cv.unbind(\\\"<KeyRelease-%s>\\\" % key, None)\\n else:\\n def eventfun(event):\\n fun()\\n self.cv.bind(\\\"<KeyRelease-%s>\\\" % key, eventfun)\",\n \"def _onkeypress(self, fun, key=None):\\n if fun is None:\\n if key is None:\\n self.cv.unbind(\\\"<KeyPress>\\\", None)\\n else:\\n self.cv.unbind(\\\"<KeyPress-%s>\\\" % key, None)\\n else:\\n def eventfun(event):\\n fun()\\n if key is None:\\n self.cv.bind(\\\"<KeyPress>\\\", eventfun)\\n else:\\n self.cv.bind(\\\"<KeyPress-%s>\\\" % key, eventfun)\",\n \"def XPSetKeyboardFocus(inWidget):\\n pass\",\n \"def onKey(self,event):\\n \\n ch = event.char.lower()\\n \\n if ch in (self.text[0].lower(),'\\\\n','\\\\r'):\\n self.okButton()\\n \\n return \\\"break\\\"\",\n \"def onKeyDown(self, eventDict):\\n key = eventDict['key']\\n modifiers = eventDict['mod']\\n\\n if modifiers:\\n # Always process control keys\\n self.keyHandler.onKeyDown(self, key, modifiers)\\n elif self.popupActive:\\n # Escape pressed -- hide the popup\\n if key == 27:\\n self.mainGrid.hidePopup()\\n self.popupActive = False\\n else:\\n # TODO: Send key to popup\\n pass\\n else:\\n self.keyHandler.onKeyDown(self, key, modifiers)\",\n \"def on_keydown(self, keys, game) -> None:\\n pass\",\n \"def handle_keydown(self, key, string):\\r\\n if self.get_visible():\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_keydown(key, string):\\r\\n return True\\r\\n return False\",\n \"def _on_keyboard(self, instance, key, scancode, codepoint, modifiers, *args):\\r\\n # print(\\\"Keyboard pressed! {}, {}, {}, {}\\\".format(key, scancode, codepoint, modifiers))\\r\\n if codepoint == 's' and 'ctrl' in modifiers:\\r\\n toast('Search by Name, Ingredient, or Tag', 3)\\r\\n self.search_focus = True\",\n \"def handle_keydown(self, key, string):\\r\\n return app.App.handle_keydown(self, key, string)\",\n \"def dialog_keypressed_cb(widget=None, event=None):\\n if event.keyval == gtk.keysyms.Return:\\n widget.response(gtk.RESPONSE_OK)\\n return True\\n elif event.keyval == gtk.keysyms.Escape:\\n widget.response(gtk.RESPONSE_CANCEL)\\n return True\\n return False\",\n \"def keypress(self, key): # pragma: no cover\\n if key == \\\"s\\\":\\n self.screenshot()\\n\\n elif key == \\\"q\\\" or key == \\\"Esc\\\":\\n self.close()\\n\\n elif key == \\\"c\\\":\\n self._print_camera()\",\n \"def getKeyDown(self, key):\\n if key in self.newlyActiveKeys:\\n self.newlyActiveKeys.remove(key)\\n self.activeKeys.append(key)\\n return True\\n else:\\n return False\",\n \"def handle_keyhold(self, key, string):\\r\\n if self.get_visible():\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_keyhold(key, string):\\r\\n return True\\r\\n return False\",\n \"def on_key_down(self, keycode, keyvalue, event):\\n if self.__click == True and (len(gtk.gdk.keyval_name(event.keyval)) < 2 or gtk.gdk.keyval_name(event.keyval) == \\\"space\\\"):\\n if gtk.gdk.keyval_name(event.keyval) == \\\"space\\\":\\n self.__text = self.__text + \\\" \\\";\\n else:\\n self.__text = self.__text + gtk.gdk.keyval_name(event.keyval);\\n if gtk.gdk.keyval_name(event.keyval) == \\\"BackSpace\\\" and self.__text:\\n self.__text = self.__text[:-1];\\n if gtk.gdk.keyval_name(event.keyval) == \\\"Return\\\" or self.__click == False and self.__text:\\n self.addNew();\\n\\t\\t\\t#screenlets.show_message(self, \\\"Committed\\\");\",\n \"def on_key_press(self, key, _modifiers): \\n if key == arcade.key.ESCAPE: # resume game\\n self.window.show_view(self.instruction_view)\",\n \"def ev_windowfocuslost(self, event: WindowEvent) -> None:\",\n \"def on_key_press(self, key, modifiers):\\n player_controller.input_press(self, key, self.player)\",\n \"def key_event(self, key: Any, action: Any):\\n pass\",\n \"def perform_keyboard_actions(self):\\n self.handle_keyboard_input()\\n self.grid.next_frame()\",\n \"def HandleFocusIn(self, event: tkEvent):\\n pass\",\n \"def _program_key(self):\\n prg_dialogue = _ProgrammingWindow(self)\\n self.root.wait_window(prg_dialogue.top)\",\n \"def _callbackKeyButton(self, channel):\\n if self._myKey.readKeyButton(channel) == 0:\\n self.onKeyButtonDown(channel)\\n return\\n\\n if self._myKey.readKeyButton(channel) == 1:\\n self.onKeyButtonUp(channel)\\n return\",\n \"def keypress_signal_from_behaviors_coding_map(self, event):\\n self.keyPressEvent(event)\",\n \"def receiveKey(self, key):\\n if key == curses.KEY_UP:\\n if self.__selectedRow > 0:\\n self.__printRow(self.__selectedRow)\\n self.__selectedRow -= 1\\n if self.__selectedRow < self.__firstShownLine:\\n self.scrollUp()\\n else:\\n self._window.attron(curses.A_BOLD)\\n self.__printRow(self.__selectedRow)\\n self._window.attroff(curses.A_BOLD)\\n else:\\n curses.beep() \\n elif key == curses.KEY_DOWN:\\n if self.__selectedRow < len(self.__data) - 1:\\n self.__printRow(self.__selectedRow)\\n self.__selectedRow += 1\\n if self.__selectedRow == \\\\\\n self.__firstShownLine + self.height - 2:\\n self.scrollDown()\\n else:\\n self._window.attron(curses.A_BOLD)\\n self.__printRow(self.__selectedRow)\\n self._window.attroff(curses.A_BOLD)\\n else:\\n curses.beep()\",\n \"def onkey(self, fun, key):\\n if fun is None:\\n if key in self._keys:\\n self._keys.remove(key)\\n elif key not in self._keys:\\n self._keys.append(key)\\n self._onkeyrelease(fun, key)\",\n \"def keyboard_on_key_down(self, window, keycode, text, modifiers):\\n if 'shift' in keycode[1]:\\n self.shift_down = True\",\n \"def on_key_press(self, event):\\n # F2 for starting new game\\n if event.key == 'f2':\\n self.draw_minefield()\",\n \"def on_key_press(self, key, callback):\\n self._key_press_mappings.setdefault(key, []).append(callback)\",\n \"def keypress(self):\\n k = self.__screen.getch()\\n ret = None\\n if k == curses.KEY_ENTER or (k < 256 and chr(k) == '\\\\n'):\\n ret = self.__textPad.gather()\\n self.__textWin.clear()\\n else:\\n self.__textPad.do_command(k)\\n\\n self.__update()\\n return ret\",\n \"def on_press(key):\\n try:\\n if key.char.upper() == (cfg_cb_key_c.upper()):\\n logger.info(\\\"Clearing clipboard memory.\\\")\\n global browser\\n browser.clear_input(cfg_web_anchor)\\n except AttributeError:\\n pass\",\n \"def handle_keyhold(self, key, string):\\r\\n return app.App.handle_keyhold(self, key, string)\",\n \"def key_release_event(self, event):\\n pass\",\n \"def on_key_press(self, symbol, modifiers):\\n if symbol == key.ESCAPE:\\n self.set_exclusive_mouse(False)\\n else:\\n self.gamestatemanager.peek().on_key_press(symbol, modifiers, self.config_data[\\\"controls\\\"])\",\n \"def keyPressed():\\n global PLAY\\n if (key == ' '):\\n PLAY = not PLAY\\n if (key == 'r'):\\n init()\",\n \"def ev_keydown(self, event: KeyDown) -> None:\",\n \"def enterKey_cb(widget, dialog):\\n dialog.response(gtk.RESPONSE_ACCEPT)\",\n \"def focus_event(self, widget, event, hasFocus):\\n return self.make_callback('focus', hasFocus)\",\n \"def on_press(self, key):\\n try:\\n if 'up' == key.name:\\n if self.index > 0:\\n self.index -= 1\\n else:\\n self.index = self.count\\n elif 'down' == key.name:\\n if self.index < self.count:\\n self.index += 1\\n else:\\n self.index = 0\\n elif key == Key.enter:\\n # Stop listener\\n self.flag += 1\\n return False\\n except:\\n return False\",\n \"def keyPressEvent(self, event):\\n self.Serial.send_keystroke(event.text())\",\n \"def on_key_press(self, pressed, modifiers):\\n if pressed == key.ESCAPE: self.save_world(); self.close(); log.INFO(\\\"MineGlet was closed!\\\")\\n elif pressed == key.E: self.mouse_lock = not self.mouse_lock\",\n \"def cb_key_pressed(data, signal, signal_data):\\n global last_signal_time\\n last_signal_time = time.time()\\n if signal_data == \\\"\\\\x01[\\\":\\n # In 50ms, check if any other keys were pressed. If not, it's Esc!\\n weechat.hook_timer(50, 0, 1, \\\"cb_check_esc\\\",\\n \\\"{:f}\\\".format(last_signal_time))\\n return weechat.WEECHAT_RC_OK\",\n \"def textbox_key_pressed(self, widget, event, Data=None):\\n\\t\\tif event.keyval == gtk.gdk.keyval_from_name('Return') or \\\\\\n\\t\\tevent.keyval == gtk.gdk.keyval_from_name('KP_Enter'):\\n\\t\\t\\tself.add_item_to_list(self.current_list)\\n\\t\\t\\treturn True\",\n \"def wait_keydown(self):\\n while True:\\n self.clock.tick(self.fps)\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n self.running = False\\n return\\n if event.type == pygame.KEYDOWN:\\n return\",\n \"def handle_keyup(self, key, string):\\r\\n if self.get_visible():\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_keyup(key, string):\\r\\n return True\\r\\n return False\",\n \"def _on_key_press(self, key):\\n if key is self.TRIGGER_KEY and not self.do_record:\\n print(\\\"Start Recording...\\\")\\n self.do_record = True\",\n \"def on_press(self, keyname):\\n if self.keydown:\\n return\\n try:\\n self.keydown = True\\n keyname = str(keyname).strip('\\\\'')\\n log.info('KEY PRESS ' + keyname)\\n if keyname == 'Key.esc':\\n self.toggle_tracking(False)\\n # self.tracking = False\\n self.drone.land()\\n self.drone.quit()\\n\\n \\n cv2.destroyAllWindows() \\n os._exit(0)\\n \\n if keyname in self.controls_keypress:\\n self.controls_keypress[keyname]()\\n except AttributeError:\\n log.debug(f'special key {keyname} pressed')\",\n \"def parse_keypress(self, wid, event):\\n\\n keyname = Gdk.keyval_name(event.keyval)\\n if keyname == \\\"Control_R\\\": # Key for query\\n self.get_output()\\n elif keyname == \\\"Page_Up\\\": # Goes to previous query\\n tot = len(self.history)\\n if -(self.prompt_cursor) != tot:\\n self.prompt_cursor -= 1\\n text = self.history[self.prompt_cursor]\\n self.current_prompt.set_text(text)\\n\\n elif keyname == \\\"Page_Down\\\": # Drops to next query\\n if (self.prompt_cursor) != -1:\\n self.prompt_cursor += 1\\n text = self.history[self.prompt_cursor]\\n self.current_prompt.set_text(text)\",\n \"def events(self, instance, keyboard):\\n if keyboard in (1001, 27):\\n if self.manager_open:\\n self.file_manager.back()\\n return True\",\n \"def AcceptsFocus(self):\\r\\n\\r\\n # overridden base class method, allows this ctrl to\\r\\n # participate in the tab-order, etc. It's overridable because\\r\\n # of deriving this class from wx.PyScrolledWindow...\\r\\n return True\",\n \"def __keystroke(self, event):\\n if event.state - self.__previous_state == 4: # means that the Control key is pressed\\n pass # do nothing if Control key is pressed\\n else:\\n if event.char in [' ', 'f']:\\n return self.parent_class.finish_polygons_key()\\n self.__previous_state = event.state # remember the last keystroke state\\n # Up, Down, Left, Right keystrokes\\n if event.keycode in [68, 39, 102]: # scroll right: keys 'D', 'Right' or 'Numpad-6'\\n self.__scroll_x('scroll', 1, 'unit', event=event)\\n elif event.keycode in [65, 37, 100]: # scroll left: keys 'A', 'Left' or 'Numpad-4'\\n self.__scroll_x('scroll', -1, 'unit', event=event)\\n elif event.keycode in [87, 38, 104]: # scroll up: keys 'W', 'Up' or 'Numpad-8'\\n self.__scroll_y('scroll', -1, 'unit', event=event)\\n elif event.keycode in [83, 40, 98]: # scroll down: keys 'S', 'Down' or 'Numpad-2'\\n self.__scroll_y('scroll', 1, 'unit', event=event)\",\n \"def setWindowKey(key='return'):\\n wdict = {'click':'NONE','return':'RETURN','escape':'ESCAPE'}\\n dislin.winkey(wdict[key])\",\n \"def on_key_down(self, keyboard, keycode, text, modifiers):\\n Logger.debug('KeyDown Event: Keycode[1] is \\\"{}\\\"'.format(keycode[1]))\\n self.keysPressed.add(keycode[1])\",\n \"def keyPressEvent(self, event):\\r\\n if event.key() == Qt.Key_Return:\\r\\n self.manejo_boton_2()\",\n \"def keyPressEvent(self, event):\\r\\n if event.key() == Qt.Key_Return:\\r\\n self.manejo_boton_2()\",\n \"def whait_for_keys_press(prompt, key1, key2, key3, key4):\\n print(prompt)\\n while True:\\n Key_pressed = curses.wrapper(main)\\n #if Key_pressed != (-1): print(Key_pressed) # displays number of key\\n if Key_pressed == key1:\\n break\\n if Key_pressed == key2:\\n break\\n if Key_pressed == key3:\\n break \\n if Key_pressed == key4:\\n break \\n time.sleep(0.1)\\n return Key_pressed\",\n \"def keyevent(self, keyname):\\n self.adb.key_events(keyname)\",\n \"def _check_keydown_events(self, event):\\n if event.key == pygame.K_ESCAPE:\\n sys.exit()\\n if event.key == pygame.K_RETURN:\\n self.main.switch_gamestate(self, self.main.game_screen)\",\n \"def keyevent(keyname, **kwargs):\\n G.DEVICE.keyevent(keyname, **kwargs)\\n delay_after_operation()\",\n \"def press_key(self, event):\\n if self.active:\\n keycode = self.mapping[event.pin_num]\\n while self.busy:\\n sleep(0.01)\\n self.busy = True\\n self.send_key(keycode)\\n self.busy = False\",\n \"def on_key_release(self, symbol, modifiers):\\n self.gamestatemanager.peek().on_key_release(symbol, modifiers, self.config_data[\\\"controls\\\"])\",\n \"def on_key_press(self, key: int, modifiers: int):\\r\\n self.held_keys.add(key)\\r\\n\\r\\n if key == arcade.key.SPACE:\\r\\n pass\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7016208","0.6989728","0.696532","0.6910112","0.6764562","0.67168427","0.6626978","0.6623902","0.6604723","0.6576953","0.6570364","0.6550427","0.65445656","0.65329766","0.6531511","0.65207005","0.6487252","0.64807296","0.64629245","0.6444512","0.64369535","0.6420311","0.6393491","0.6381775","0.63517356","0.63401896","0.6324497","0.6304451","0.62974566","0.6273223","0.6255711","0.62506133","0.62386566","0.6222792","0.6212474","0.6209302","0.6205867","0.61938095","0.6163551","0.61630964","0.61580515","0.61567706","0.6145868","0.6109644","0.6106833","0.6103556","0.6098672","0.609818","0.6082561","0.60664123","0.60590154","0.6056102","0.604055","0.60224783","0.60204273","0.6014559","0.60113037","0.60056955","0.59981686","0.5993691","0.59844047","0.59817994","0.5975429","0.5971989","0.59561676","0.5955412","0.59518623","0.5950872","0.59409404","0.59392166","0.59363145","0.59249806","0.5923488","0.5921538","0.59175485","0.5913432","0.5907882","0.58847386","0.5878247","0.5867846","0.5862891","0.5859596","0.58381695","0.5835928","0.5827969","0.5827893","0.5826714","0.5825181","0.5821081","0.58117694","0.58079505","0.58078057","0.5802213","0.5802213","0.5800589","0.57943916","0.5792131","0.5779264","0.57738036","0.5773536","0.5771585"],"string":"[\n \"0.7016208\",\n \"0.6989728\",\n \"0.696532\",\n \"0.6910112\",\n \"0.6764562\",\n \"0.67168427\",\n \"0.6626978\",\n \"0.6623902\",\n \"0.6604723\",\n \"0.6576953\",\n \"0.6570364\",\n \"0.6550427\",\n \"0.65445656\",\n \"0.65329766\",\n \"0.6531511\",\n \"0.65207005\",\n \"0.6487252\",\n \"0.64807296\",\n \"0.64629245\",\n \"0.6444512\",\n \"0.64369535\",\n \"0.6420311\",\n \"0.6393491\",\n \"0.6381775\",\n \"0.63517356\",\n \"0.63401896\",\n \"0.6324497\",\n \"0.6304451\",\n \"0.62974566\",\n \"0.6273223\",\n \"0.6255711\",\n \"0.62506133\",\n \"0.62386566\",\n \"0.6222792\",\n \"0.6212474\",\n \"0.6209302\",\n \"0.6205867\",\n \"0.61938095\",\n \"0.6163551\",\n \"0.61630964\",\n \"0.61580515\",\n \"0.61567706\",\n \"0.6145868\",\n \"0.6109644\",\n \"0.6106833\",\n \"0.6103556\",\n \"0.6098672\",\n \"0.609818\",\n \"0.6082561\",\n \"0.60664123\",\n \"0.60590154\",\n \"0.6056102\",\n \"0.604055\",\n \"0.60224783\",\n \"0.60204273\",\n \"0.6014559\",\n \"0.60113037\",\n \"0.60056955\",\n \"0.59981686\",\n \"0.5993691\",\n \"0.59844047\",\n \"0.59817994\",\n \"0.5975429\",\n \"0.5971989\",\n \"0.59561676\",\n \"0.5955412\",\n \"0.59518623\",\n \"0.5950872\",\n \"0.59409404\",\n \"0.59392166\",\n \"0.59363145\",\n \"0.59249806\",\n \"0.5923488\",\n \"0.5921538\",\n \"0.59175485\",\n \"0.5913432\",\n \"0.5907882\",\n \"0.58847386\",\n \"0.5878247\",\n \"0.5867846\",\n \"0.5862891\",\n \"0.5859596\",\n \"0.58381695\",\n \"0.5835928\",\n \"0.5827969\",\n \"0.5827893\",\n \"0.5826714\",\n \"0.5825181\",\n \"0.5821081\",\n \"0.58117694\",\n \"0.58079505\",\n \"0.58078057\",\n \"0.5802213\",\n \"0.5802213\",\n \"0.5800589\",\n \"0.57943916\",\n \"0.5792131\",\n \"0.5779264\",\n \"0.57738036\",\n \"0.5773536\",\n \"0.5771585\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":1489,"cells":{"query":{"kind":"string","value":"Called when a key is released after being pressed. Adjust method signature as appropriate for callback."},"document":{"kind":"string","value":"def key_release_event(self, widget, event):\n # get keyname or keycode and translate to ginga standard\n # keyname =\n # keycode =\n keyname = '' # self.transkey(keyname, keycode)\n self.logger.debug(\"key release event, key=%s\" % (keyname))\n return self.make_ui_callback('key-release', keyname)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def key_release_event(self, event):\n pass","def _on_key_release(self, event):","def on_key_release(self, key, modifiers):\n player_controller.input_release(key, self.player)","def keyReleaseEvent(self, event):\n self.game_engine.input_manager.keyReleaseEvent(event)","def _onkeyrelease(self, fun, key):\n if fun is None:\n self.cv.unbind(\"<KeyRelease-%s>\" % key, None)\n else:\n def eventfun(event):\n fun()\n self.cv.bind(\"<KeyRelease-%s>\" % key, eventfun)","def on_release(self, keyname):\n self.keydown = False\n keyname = str(keyname).strip('\\'')\n log.info('KEY RELEASE ' + keyname)\n if keyname in self.controls_keyrelease:\n key_handler = self.controls_keyrelease[keyname]()","def on_key_release(self, symbol, modifiers):\n self.gamestatemanager.peek().on_key_release(symbol, modifiers, self.config_data[\"controls\"])","def __handleKeyUp(self, key):\n arg = -1\n if self._keysPressed > 0:\n self._keysPressed -= 1\n if self._keyDown == key and self._keysPressed == 0:\n arg = self._keyMap[key]\n \n if self._keysPressed == 0:\n self._keyDown = None\n \n messenger.send(KeyCodes.KEY_UP_EVENT, [arg])","def on_key_release(self, key, modifiers):\n pass # stop animation","def on_key_up(self, keyboard, keycode):\n Logger.debug('KeyUp Event: Keycode[1] is \"{}\"'.format(keycode[1]))\n self.keysPressed.remove(keycode[1])","def on_key_release(self, key, modifiers):\n\n keyName = pyglet.window.key.symbol_string(key)\n logging.debug('key \"%s\" released' % keyName)\n if keyName == \"SPACE\": # Pick up or drop the selected piece.\n if self.current.selector.heldPiece is None:\n self.current.selector.pickUp()\n else:\n piece = self.current.selector.heldPiece\n col = self.current.selector.currentCol\n if self.currentBoard.canAddPiece(piece, col):\n self.current.selector.dropPiece()\n self.gameManager.movePiece(piece, col)\n else: #move the piece back to where it is\n self.current.selector.dropPiece()\n\n if keyName == \"RETURN\": # Call pieces.\n self.gameManager.callPieces()\n if keyName == \"TAB\": # Use mana\n if self.gameManager.useMana(): #if the logic works\n #TODO: \n pass\n if keyName == \"BACKSPACE\": \n # Delete a piece. Logic check is done by gameManager\n pos = [self.current.selector.currentRow, self.current.selector.currentCol]\n self.gameManager.deletePiece(pos)\n self.current.selector.refresh()\n if keyName == \"END\": # End the turn.\n self.gameManager.endTurn()","def on_release(self, released_key ):\n if released_key is not None:\n if isinstance(released_key, pynput.keyboard.KeyCode) and released_key.char is not None:\n released_key = released_key.char.lower()\n elif isinstance(released_key, pynput.keyboard.Key):\n released_key = released_key.name\n self.keys_set.discard(released_key)","def key_handler(self, event):\n if event.type == pygame.KEYUP: \n self.done = True","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP or key == arcade.key.W:\n self.up_pressed = False\n self.jump_needs_reset = False\n elif key == arcade.key.DOWN or key == arcade.key.S:\n self.down_pressed = False\n elif key == arcade.key.LEFT or key == arcade.key.A:\n self.left_pressed = False\n elif key == arcade.key.RIGHT or key == arcade.key.D:\n self.right_pressed = False\n\n if key == arcade.key.Q:\n self.shoot_pressed = False\n\n self.process_keychange()","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP or key == arcade.key.W:\n self.up_pressed = False\n self.jump_needs_reset = False\n elif key == arcade.key.DOWN or key == arcade.key.S:\n self.down_pressed = False\n elif key == arcade.key.LEFT or key == arcade.key.A:\n self.left_pressed = False\n elif key == arcade.key.RIGHT or key == arcade.key.D:\n self.right_pressed = False\n elif key == arcade.key.SPACE:\n self.pc.punching = False\n\n self.process_keychange()","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP:\n self.up_pressed = False\n elif key == arcade.key.DOWN:\n self.down_pressed = False\n elif key == arcade.key.LEFT:\n self.left_pressed = False\n elif key == arcade.key.RIGHT:\n self.right_pressed = False","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP:\n self.up_pressed = False\n elif key == arcade.key.DOWN:\n self.down_pressed = False\n elif key == arcade.key.LEFT:\n self.left_pressed = False\n elif key == arcade.key.RIGHT:\n self.right_pressed = False","def on_key_release(self, key: int, modifiers: int):\r\n if key in self.held_keys:\r\n self.held_keys.remove(key)","def on_key_release(self, key: int, modifiers: int):\r\n if key in self.held_keys:\r\n self.held_keys.remove(key)","def on_key_release(self, event):\n if self.active:\n key = event.key or ''\n for (state, modifier) in self._state_modifier_keys.items():\n # 'rotate' is changing _state on press and is not removed\n # from _state when releasing\n if modifier in key.split('+') and state != 'rotate':\n self._state.discard(state)\n self._on_key_release(event)","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP:\n self.up_pressed = False\n elif key == arcade.key.DOWN:\n self.down_pressed = False\n elif key == arcade.key.LEFT:\n self.left_pressed = False\n elif key == arcade.key.RIGHT:\n self.right_pressed = False\n elif key == arcade.key.W:\n self.up_pressed = False\n elif key == arcade.key.S:\n self.down_pressed = False\n elif key == arcade.key.A:\n self.left_pressed = False\n elif key == arcade.key.D:\n self.right_pressed = False","def on_key_release(self, key_released: int, _: int) -> None:\n if key_released in (key.LEFT, key.RIGHT, key.A, key.D):\n self.change_x = 0\n self.direction = None","def keyReleaseEvent (self, event):\n super(DiagramScene, self).keyReleaseEvent(event)","def on_key_release(self, key, callback):\n self._key_release_mappings.setdefault(key, []).append(callback)","def _on_key_release(self, key):\n if key is self.TRIGGER_KEY:\n print(\"End Recording\")\n self.do_record = False","def k_release(self, key: KKey):\n pass","def ev_KEYUP(self, event):","def on_key_release(self, key, modifiers):\n\n try:\n game_key = KEY_MAP[key]\n except KeyError:\n return\n\n self.game.on_key_release(game_key)","def on_key_event(self, key):\n pass","def on_key_release(self, key: int, modifiers: int):\n\n if key in self.held_keys:\n self.held_keys.remove(key)","def _on_key_press(self, event):","def handle_keyrelease_event(event, labels):\n\tglobal current_user\n\tglobal current_mode\n\t\n\t(instruction_label, response_label, congrats_label) = labels\n\n\tif current_mode == \"number\":\n\t\tnum_char = str(event.char)\n\t\tif num_char in ['1','2','3','4','5','6','7']:\n\t\t\tpush_update(current_user, int(num_char))\n\t\t\tcongrats_label.temp_update(random.choice(messages), 1500)\n\t\t\tcurrent_mode = \"user\"\n\t\t\tinstruction_label.update(\"Please enter user character...\")","def on_key_down(self, key, callback):\n self._key_down_mappings.setdefault(key, []).append(callback)","def release_bound_key(self, event):\n try:\n if event.key in [key[0] for key in self.key_bindings]:\n self.unpress()\n except TypeError:\n if event.key in self.key_bindings:\n self.unpress()","def key_handler(self):\n \n self.pressed = waitKey(1) & 255 #wait for keypress for 10 ms\n if self.pressed == 27: #exit program on 'esc'\n print \"exiting...\"\n self.camera.cam.release()\n exit()\n \n for key in self.key_controls.keys():\n if chr(self.pressed) == key:\n self.key_controls[key]()","def keyReleaseEvent(self, event):\n # The autorepeat debounces\n if not event.isAutoRepeat():\n if event.key() == Qt.Key_Up or event.key() == Qt.Key_Down or (\n event.key() == Qt.Key_Left) or event.key() == Qt.Key_Right:\n self.notifyObservers(BehavioralStates.RC, (Qt.Key_Slash, \"0\"))\n # this is so the next time we press w we know it's a new key\n elif event.key() == Qt.Key_W:\n self.notifyObservers(BehavioralStates.RC, (Qt.Key_Q, \"0\"))","def handle_keyrelease(self, event):\r\n if event.keysym == \"BackSpace\":\r\n self.delete(self.index(tkinter.INSERT), tkinter.END)\r\n self.position = self.index(tkinter.END)\r\n if event.keysym == \"Left\":\r\n if self.position < self.index(tkinter.END): # delete the selection\r\n self.delete(self.position, tkinter.END)\r\n else:\r\n self.position = self.position-1 # delete one character\r\n self.delete(self.position, tkinter.END)\r\n if event.keysym == \"Right\":\r\n self.position = self.index(tkinter.END) # go to end (no selection)\r\n if len(event.keysym) == 1:\r\n self.autocomplete()\r\n # No need for up/down, we'll jump to the popup\r\n # list at the position of the autocompletion\r","def on_key_release(self, key, key_modifiers):\n if key == arcade.key.LEFT or key == arcade.key.DOWN:\n self.holding_left = False\n\n if key == arcade.key.RIGHT or key == arcade.key.UP:\n self.holding_right = False","def debounced_key_release(event):\n # print('Debounced release', repr(event.key))\n key_indicator.set_text('')\n fig.canvas.draw()","def on_key_release(event):\n if event.key == 'shift':\n self.shift_is_held = False","def keyReleaseEvent(self, event):\n if event.key() not in self.inputs.keys():\n self.inputs[event.key()] = [False, 0]\n # end if not in dict, add key to dict\n self.inputs[event.key()][0] = False\n\n for game_object in self.game_engine.game_objects:\n game_object.key_release_event(event)\n # end for","def handle_keyrelease(self, event):\n if event.keysym == \"BackSpace\":\n self.delete(self.index(tk.INSERT), tk.END)\n self.position = self.index(tk.END)\n if event.keysym == \"Left\":\n if self.position < self.index(tk.END): # delete the selection\n self.delete(self.position, tk.END)\n else:\n self.position = self.position-1 # delete one character\n self.delete(self.position, tk.END)\n if event.keysym == \"Right\":\n self.position = self.index(tk.END) # go to end (no selection)\n if event.keysym == \"Down\":\n self.autocomplete(1) # cycle to next hit\n if event.keysym == \"Up\":\n self.autocomplete(-1) # cycle to previous hit\n if len(event.keysym) == 1 or event.keysym in tkinter_umlauts:\n self.autocomplete()","def key_down(key):\n vk = key\n # XXX exception if >= 256\n _key_down(vk)","def handle_keyrelease(self, event):\r\n if event.keysym == \"BackSpace\":\r\n self.delete(self.index(tkinter.INSERT), tkinter.END)\r\n self.position = self.index(tkinter.END)\r\n if event.keysym == \"Left\":\r\n if self.position < self.index(tkinter.END): # delete the selection\r\n self.delete(self.position, tkinter.END)\r\n else:\r\n self.position = self.position-1 # delete one character\r\n self.delete(self.position, tkinter.END)\r\n if event.keysym == \"Right\":\r\n self.position = self.index(tkinter.END) # go to end (no selection)\r\n if event.keysym == \"Down\":\r\n self.autocomplete(1) # cycle to next hit\r\n if event.keysym == \"Up\":\r\n self.autocomplete(-1) # cycle to previous hit\r\n if len(event.keysym) == 1 or event.keysym in tkinter_umlauts:\r\n self.autocomplete()","def on_key_release(self, key, modifiers):\n self.key_pressed = False\n if key == arcade.key.UP or key == arcade.key.DOWN:\n self.player.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player.change_x = 0\n if self.player.get_last_side() == \"left\":\n self.player.set_action(\"left_idle\")\n else:\n self.player.set_action(\"right_idle\")","def handle_keyhold(self, key, string):\r\n return app.App.handle_keyhold(self, key, string)","def _callbackKeyButton(self, channel):\n if self._myKey.readKeyButton(channel) == 0:\n self.onKeyButtonDown(channel)\n return\n\n if self._myKey.readKeyButton(channel) == 1:\n self.onKeyButtonUp(channel)\n return","def on_key_release(self, key: int, modifiers: int):\n if (key == arcade.key.UP or key == arcade.key.W) and \\\n self.direction == MoveEnum.UP:\n self.direction = MoveEnum.NONE\n if (key == arcade.key.DOWN or key == arcade.key.S) and \\\n self.direction == MoveEnum.DOWN:\n self.direction = MoveEnum.NONE\n if (key == arcade.key.LEFT or key == arcade.key.A) and \\\n self.direction == MoveEnum.LEFT:\n self.direction = MoveEnum.NONE\n if (key == arcade.key.RIGHT or key == arcade.key.D) and \\\n self.direction == MoveEnum.RIGHT:\n self.direction = MoveEnum.NONE","def on_key_release(self, key: int, modifiers: int):\n if (key == arcade.key.UP or key == arcade.key.W) and \\\n self.direction == MoveEnum.UP:\n self.direction = MoveEnum.NONE\n if (key == arcade.key.DOWN or key == arcade.key.S) and \\\n self.direction == MoveEnum.DOWN:\n self.direction = MoveEnum.NONE\n if (key == arcade.key.LEFT or key == arcade.key.A) and \\\n self.direction == MoveEnum.LEFT:\n self.direction = MoveEnum.NONE\n if (key == arcade.key.RIGHT or key == arcade.key.D) and \\\n self.direction == MoveEnum.RIGHT:\n self.direction = MoveEnum.NONE","def key_press_event(self, event):\n pass","def key_event(self, key: Any, action: Any):\n pass","def releaseKeyButtons(self):\n self._myKey.removeKeyButtonEvent([\n CONFIG_KEY.BUTTON_ACT_A,\n CONFIG_KEY.BUTTON_ACT_B,\n CONFIG_KEY.BUTTON_JOY_UP,\n CONFIG_KEY.BUTTON_JOY_DOWN,\n CONFIG_KEY.BUTTON_JOY_LEFT,\n CONFIG_KEY.BUTTON_JOY_RIGHT,\n CONFIG_KEY.BUTTON_JOY_OK\n ])","def on_press(key):\n try:\n # gets pressed key char value and searches it from dict with get method.\n mapped_key = key_mappings.get(key.char) # gets value and type tuple or None\n if mapped_key:\n module.pressed_key = mapped_key\n except AttributeError:\n traceback.print_exc()\n except KeyboardInterrupt:\n print(f\"\\n{module.current_time()} Application stopped\")","def on_key_release(self, key, modifiers):\n if self.current_state == GAME_RUNNING:\n if key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player_sprite.change_x = 0\n elif key == arcade.key.UP or key == arcade.key.DOWN:\n self.player_sprite.change_y = 0\n elif key == arcade.key.SPACE:\n self.player_sprite.speed = 0\n elif key == arcade.key.ESCAPE:\n if self.gameover:\n self.gameover = 0\n self.instruction_screen()","def ev_KEYDOWN(self, event):","def keyUp(self):\n if pyxel.btnp(pyxel.KEY_UP):\n self.rotater(-1)","def on_key_release(self, key, modifiers):\n if key == arcade.key.LEFT:\n self.player_sprite.stop_left()\n elif key == arcade.key.RIGHT:\n self.player_sprite.stop_right()","def on_key_down(self, keyboard, keycode, text, modifiers):\n Logger.debug('KeyDown Event: Keycode[1] is \"{}\"'.format(keycode[1]))\n self.keysPressed.add(keycode[1])","def onkey(self, fun, key):\n if fun is None:\n if key in self._keys:\n self._keys.remove(key)\n elif key not in self._keys:\n self._keys.append(key)\n self._onkeyrelease(fun, key)","def on_key_down(self, keycode, keyvalue, event):\n if self.__click == True and (len(gtk.gdk.keyval_name(event.keyval)) < 2 or gtk.gdk.keyval_name(event.keyval) == \"space\"):\n if gtk.gdk.keyval_name(event.keyval) == \"space\":\n self.__text = self.__text + \" \";\n else:\n self.__text = self.__text + gtk.gdk.keyval_name(event.keyval);\n if gtk.gdk.keyval_name(event.keyval) == \"BackSpace\" and self.__text:\n self.__text = self.__text[:-1];\n if gtk.gdk.keyval_name(event.keyval) == \"Return\" or self.__click == False and self.__text:\n self.addNew();\n\t\t\t#screenlets.show_message(self, \"Committed\");","def on_mouse_release(self, x, y, button, key_modifiers):\r\n pass","def on_keyboard_closed(self):\n self.keyboard.unbind(on_key_down=self.on_key_down)\n self.keyboard.unbind(on_key_up=self.on_key_up)\n self.keyboard = None","def on_key_release(self, key, modifiers):\r\n if key == arcade.key.UP or key == arcade.key.DOWN:\r\n self.player.change_y = 0\r\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\r\n self.player.change_x = 0","def on_key_release(self, key, modifiers):\r\n if key == arcade.key.UP or key == arcade.key.DOWN:\r\n self.player.change_y = 0\r\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\r\n self.player.change_x = 0","def _handle_key_press(self, event: pygame.event.Event) -> None:\n if event.key == K_0:\n self._update_input('0')\n elif event.key == K_1:\n self._update_input('1')\n elif event.key == K_2:\n self._update_input('2')\n elif event.key == K_3:\n self._update_input('3')\n elif event.key == K_4:\n self._update_input('4')\n elif event.key == K_5:\n self._update_input('5')\n elif event.key == K_6:\n self._update_input('6')\n elif event.key == K_7:\n self._update_input('7')\n elif event.key == K_8:\n self._update_input('8')\n elif event.key == K_9:\n self._update_input('9')\n elif event.key == K_BACKSPACE:\n self._update_input('BACKSPACE')","def on_key_press(self, event):\n\n #print(\"you pressed {}\".format(event.key))\n key_press_handler(event, self.canvas, self.toolbar)","def keyReleaseEvent(self, ev):\n self.currentKbKey = None\n\n if (ev.key() == self.panKey):\n # disable Pan/Zoom mode\n self.panning = False\n if self.__pointerLeftWidget:\n # we've left the widget - reset the cursor to the standard arrow\n self.setCursor(Qt.ArrowCursor)\n else:\n self.setCursor(self.defaultCursor)\n elif (ev.key() == self.selectAddKey):\n # disable selection add mode\n if self.__pointerLeftWidget:\n # we've left the widget - reset the cursor to the standard arrow\n self.setCursor(Qt.ArrowCursor)\n else:\n self.setCursor(self.defaultCursor)\n elif (ev.key() == self.zoomKey):\n # disable zoom mode\n self.__zooming = False\n else:\n self.keyRelease.emit(self, ev)","def _on_keyboard_down(self, keyboard, keycode, char, modifiers):\n\n print(f\"Keystroke: char={char}, code={keycode}, mods={modifiers}\")\n if keycode[0] == 27: # use the Escape key to toggle modes.\n self.toggle_speak_mode()\n elif self._speakmode == 'SAY_LETTERS':\n self.say_letter(keyboard, keycode, char, modifiers)\n else:\n self.say_word(keyboard, keycode, char, modifiers)\n return True","def on_key_release(self, key, modifiers):\n if key == arcade.key.UP or key == arcade.key.DOWN:\n self.player.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player.change_x = 0","def keyevent(keyname, **kwargs):\n G.DEVICE.keyevent(keyname, **kwargs)\n delay_after_operation()","def keyReleaseEvent(self, event: QtGui.QKeyEvent) -> None:\n if event.key() in [Qt.Key_W, Qt.Key_S, Qt.Key_A, Qt.Key_D] and self.__enable_key:\n new_direction = self.__directions.index(event.text())\n # ignore opposite direction\n if (new_direction + 2) % 4 == self.__h_direction:\n return\n self.__h_direction = new_direction\n if event.isAutoRepeat():\n self.__change_speed(self.__acc_step)\n print(f'{event.text().capitalize()}:accelerate speed')\n else:\n self.__change_speed(self.__step)\n print(f'{event.text().capitalize()}:normal speed')","def handle_movement_keyup(self, key):\n def _opposite_dir(key):\n return {pygame.K_LEFT: pygame.K_RIGHT,\n pygame.K_RIGHT: pygame.K_LEFT,\n pygame.K_UP: pygame.K_DOWN}[key]\n try:\n log.debug(f'released: {key}')\n self.keys_down[key] = False\n if key in {pygame.K_LEFT, pygame.K_RIGHT} and \\\n not(self.keys_down[_opposite_dir(key)]):\n self.stop_movement()\n log.debug(f'keys down: {self.keys_down}')\n except AttributeError:\n log.error(\"you didn't pass a keyboard event!!\")","def on_key(self, _window, key, _scancode, action, _mods):\n is_press = action == glfw.PRESS or action == glfw.REPEAT\n if is_press and (key == glfw.KEY_ESCAPE or key == glfw.KEY_Q):\n glfw.set_window_should_close(self.window, True)\n\n if action != glfw.REPEAT:\n self.key_handler(key, is_press)","def _keyboard_closed(self):\n self._keyboard.unbind(on_key_down=self._on_keyboard_down)\n self._keyboard = None","def on_key(self, _win, key, _scancode, action, _mods):\n if action == glfw.PRESS or action == glfw.REPEAT:\n if key == glfw.KEY_ESCAPE or key == glfw.KEY_Q:\n glfw.set_window_should_close(self.win, True)\n if key == glfw.KEY_W:\n GL.glPolygonMode(GL.GL_FRONT_AND_BACK, next(self.fill_modes))\n\n self.key_handler(key)","def keyboard_on_key_up(self, window, keycode):\n if 'shift' in keycode[1]:\n self.shift_down = False","def on_press(key):\n try:\n if key.char.upper() == (cfg_cb_key_c.upper()):\n logger.info(\"Clearing clipboard memory.\")\n global browser\n browser.clear_input(cfg_web_anchor)\n except AttributeError:\n pass","def on_key_release(self, key, modifiers):\n if key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player.change_x = 0\n elif key == arcade.key.UP or key == arcade.key.DOWN:\n self.player.change_y = 0","def k_press(self, key: KKey):\n pass","def key_down(event, ai, var, screen, ship, shots, enemies, charges, shields, hub):\r\n\tif event.key == pygame.K_UP:\r\n\t\tship.move_up = 1\r\n\telif event.key == pygame.K_DOWN:\r\n\t\tship.move_down = 1\r\n\telif event.key == pygame.K_SPACE:\r\n\t\tshoot_bullet(ai, screen, ship, shots, enemies)\r\n\t\tbegin_charge(ai, var, screen, ship, charges)\r\n\telif event.key == pygame.K_RSHIFT or event.key == pygame.K_LSHIFT:\r\n\t\tcall_shield(ai, var, screen, ship, shields, hub)\r\n\telif event.key == pygame.K_q:\r\n\t\tsys.exit()\r\n\t#elif event.key == pygame.K_p:\r\n\t#\thub.pause = 1\r\n\telif event.key == pygame.K_z:\r\n\t\thub.za_wurado(ai)","def on_key_release(self, key: arcade.key, modifiers):\n #stops sprite movement when key is released\n if key == arcade.key.UP or key == arcade.key.DOWN:\n self.player_sprite.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player_sprite.change_x = 0","def on_key_press(self, event):\n if self.active:\n key = event.key or ''\n key = key.replace('ctrl', 'control')\n if key == self._state_modifier_keys['clear']:\n self.clear()\n return\n for (state, modifier) in self._state_modifier_keys.items():\n if modifier in key.split('+'):\n # 'rotate' is changing _state on press and is not removed\n # from _state when releasing\n if state == 'rotate':\n if state in self._state:\n self._state.discard(state)\n else:\n self._state.add(state)\n else:\n self._state.add(state)\n self._on_key_press(event)","def debounced_key_press(event):\n # print('Debounced press', repr(event.key))\n key_indicator.set_text(event.key)\n if event.key == ' ':\n throttle_handler()\n fig.canvas.draw()","def HandleKeyboardInput(self):\n key = yg.getKeyPress()\n if key == \"Return\":\n self.buttons[len(self.buttons) - 1].Click()","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP or key == arcade.key.DOWN:\n self.player_sprite.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player_sprite.change_x = 0","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP or key == arcade.key.DOWN:\n self.player_sprite.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player_sprite.change_x = 0","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP or key == arcade.key.DOWN:\n self.player_sprite.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player_sprite.change_x = 0","def on_key_release(self, key):\n if key == LEFT:\n self.player.change_x = 0\n elif key == RIGHT:\n self.player.change_x = 0\n elif key == UP:\n self.player.change_y = 0\n elif key == DOWN:\n self.player.change_y = 0","def handle_event(self, event, window):\n raise NotImplementedError('handle_key')","def __handleKeyDown(self, key):\n self._keysPressed += 1\n if self._keyDown is None and self._keysPressed == 1:\n assert(self.notify.debug(\"Key Down for Pattern: \" + key))\n self.__updateElapsedTime()\n # Inform that a key has been pressed\n messenger.send(KeyCodes.KEY_DOWN_EVENT, [self._keyMap[key], self._keyCodeCount])\n \n self._keyCode += self._keyMap[key]\n self._keyCodeCount += 1\n self._keyDown = key\n self.__checkForPattern()\n else:\n messenger.send(KeyCodes.KEY_DOWN_EVENT, [-1, -1])","def on_key_release(self, key, key_modifiers):\n if key == arcade.key.UP or key == arcade.key.DOWN:\n self.player_sprite.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\n self.player_sprite.change_x = 0","def off(key):\n # print(\"{0} released\".format(key), time.perf_counter())\n\n global keys, esc_count\n\n # caps, shift, etc. aren't automatically registered as strings\n if type(key) == Key:\n keys[esc_count].append((str(key), time.perf_counter(), \"released\"))\n else:\n keys[esc_count].append((key, time.perf_counter(), \"released\"))","def cb_key_pressed(data, signal, signal_data):\n global last_signal_time\n last_signal_time = time.time()\n if signal_data == \"\\x01[\":\n # In 50ms, check if any other keys were pressed. If not, it's Esc!\n weechat.hook_timer(50, 0, 1, \"cb_check_esc\",\n \"{:f}\".format(last_signal_time))\n return weechat.WEECHAT_RC_OK","def on_keydown(self, keys, game) -> None:\n pass","def on_key_release(self, key, modifiers):\n if key == arcade.key.A or key == arcade.key.D:\n self.player.change_x = 0\n\n elif key == arcade.key.W or key == arcade.key.S:\n self.player.change_y = 0","def on_key_release(self, key, modifiers):\n if key == arcade.key.LEFT or key == arcade.key.A:\n getattr(self, f\"player{self.assigned_player}\").change_x = 0\n elif key == arcade.key.RIGHT or key == arcade.key.D:\n getattr(self, f\"player{self.assigned_player}\").change_x = 0","def OnKeydown(self, vkey, shift):\n if vkey == 27:\n # The ESC key was pressed so close the window and leave.\n self.Close()\n else:\n # An unknown key was pressed.\n return self.on_key_down(vkey, shift)\n\n return True","def on_key_release(self, key, modifiers):\n if key == arcade.key.UP or key == arcade.key.W or key == arcade.key.DOWN or key == arcade.key.S:\n self.player_sprite.change_y = 0\n elif key == arcade.key.LEFT or key == arcade.key.A or key == arcade.key.RIGHT or key == arcade.key.D:\n self.player_sprite.change_x = 0","def on_key_release(self, key, modifiers):\n if not self.ship or not self._can_control:\n return False\n\n self._pressed_keys.remove(key)\n\n consumed = True\n\n if key == arcade.key.W:\n self.ship.set_thrust(self.ship.thrust - Position(0, 0.15))\n elif key == arcade.key.S:\n self.ship.set_thrust(self.ship.thrust - Position(0, -0.15))\n elif key == arcade.key.Q:\n self.ship.set_thrust(self.ship.thrust - Position(0.1, 0))\n elif key == arcade.key.E:\n self.ship.set_thrust(self.ship.thrust - Position(-0.1, 0))\n elif key == arcade.key.A:\n self.ship.set_angle_delta(self.ship.angle_delta - 3)\n elif key == arcade.key.D:\n self.ship.set_angle_delta(self.ship.angle_delta + 3)\n else:\n consumed = False\n\n if len(self._pressed_keys) == 0:\n self.ship.set_angle_delta(0.0)\n self.ship.set_thrust(Position(0.0, 0.0))\n\n return True","def _release(self, event):"],"string":"[\n \"def key_release_event(self, event):\\n pass\",\n \"def _on_key_release(self, event):\",\n \"def on_key_release(self, key, modifiers):\\n player_controller.input_release(key, self.player)\",\n \"def keyReleaseEvent(self, event):\\n self.game_engine.input_manager.keyReleaseEvent(event)\",\n \"def _onkeyrelease(self, fun, key):\\n if fun is None:\\n self.cv.unbind(\\\"<KeyRelease-%s>\\\" % key, None)\\n else:\\n def eventfun(event):\\n fun()\\n self.cv.bind(\\\"<KeyRelease-%s>\\\" % key, eventfun)\",\n \"def on_release(self, keyname):\\n self.keydown = False\\n keyname = str(keyname).strip('\\\\'')\\n log.info('KEY RELEASE ' + keyname)\\n if keyname in self.controls_keyrelease:\\n key_handler = self.controls_keyrelease[keyname]()\",\n \"def on_key_release(self, symbol, modifiers):\\n self.gamestatemanager.peek().on_key_release(symbol, modifiers, self.config_data[\\\"controls\\\"])\",\n \"def __handleKeyUp(self, key):\\n arg = -1\\n if self._keysPressed > 0:\\n self._keysPressed -= 1\\n if self._keyDown == key and self._keysPressed == 0:\\n arg = self._keyMap[key]\\n \\n if self._keysPressed == 0:\\n self._keyDown = None\\n \\n messenger.send(KeyCodes.KEY_UP_EVENT, [arg])\",\n \"def on_key_release(self, key, modifiers):\\n pass # stop animation\",\n \"def on_key_up(self, keyboard, keycode):\\n Logger.debug('KeyUp Event: Keycode[1] is \\\"{}\\\"'.format(keycode[1]))\\n self.keysPressed.remove(keycode[1])\",\n \"def on_key_release(self, key, modifiers):\\n\\n keyName = pyglet.window.key.symbol_string(key)\\n logging.debug('key \\\"%s\\\" released' % keyName)\\n if keyName == \\\"SPACE\\\": # Pick up or drop the selected piece.\\n if self.current.selector.heldPiece is None:\\n self.current.selector.pickUp()\\n else:\\n piece = self.current.selector.heldPiece\\n col = self.current.selector.currentCol\\n if self.currentBoard.canAddPiece(piece, col):\\n self.current.selector.dropPiece()\\n self.gameManager.movePiece(piece, col)\\n else: #move the piece back to where it is\\n self.current.selector.dropPiece()\\n\\n if keyName == \\\"RETURN\\\": # Call pieces.\\n self.gameManager.callPieces()\\n if keyName == \\\"TAB\\\": # Use mana\\n if self.gameManager.useMana(): #if the logic works\\n #TODO: \\n pass\\n if keyName == \\\"BACKSPACE\\\": \\n # Delete a piece. Logic check is done by gameManager\\n pos = [self.current.selector.currentRow, self.current.selector.currentCol]\\n self.gameManager.deletePiece(pos)\\n self.current.selector.refresh()\\n if keyName == \\\"END\\\": # End the turn.\\n self.gameManager.endTurn()\",\n \"def on_release(self, released_key ):\\n if released_key is not None:\\n if isinstance(released_key, pynput.keyboard.KeyCode) and released_key.char is not None:\\n released_key = released_key.char.lower()\\n elif isinstance(released_key, pynput.keyboard.Key):\\n released_key = released_key.name\\n self.keys_set.discard(released_key)\",\n \"def key_handler(self, event):\\n if event.type == pygame.KEYUP: \\n self.done = True\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP or key == arcade.key.W:\\n self.up_pressed = False\\n self.jump_needs_reset = False\\n elif key == arcade.key.DOWN or key == arcade.key.S:\\n self.down_pressed = False\\n elif key == arcade.key.LEFT or key == arcade.key.A:\\n self.left_pressed = False\\n elif key == arcade.key.RIGHT or key == arcade.key.D:\\n self.right_pressed = False\\n\\n if key == arcade.key.Q:\\n self.shoot_pressed = False\\n\\n self.process_keychange()\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP or key == arcade.key.W:\\n self.up_pressed = False\\n self.jump_needs_reset = False\\n elif key == arcade.key.DOWN or key == arcade.key.S:\\n self.down_pressed = False\\n elif key == arcade.key.LEFT or key == arcade.key.A:\\n self.left_pressed = False\\n elif key == arcade.key.RIGHT or key == arcade.key.D:\\n self.right_pressed = False\\n elif key == arcade.key.SPACE:\\n self.pc.punching = False\\n\\n self.process_keychange()\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP:\\n self.up_pressed = False\\n elif key == arcade.key.DOWN:\\n self.down_pressed = False\\n elif key == arcade.key.LEFT:\\n self.left_pressed = False\\n elif key == arcade.key.RIGHT:\\n self.right_pressed = False\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP:\\n self.up_pressed = False\\n elif key == arcade.key.DOWN:\\n self.down_pressed = False\\n elif key == arcade.key.LEFT:\\n self.left_pressed = False\\n elif key == arcade.key.RIGHT:\\n self.right_pressed = False\",\n \"def on_key_release(self, key: int, modifiers: int):\\r\\n if key in self.held_keys:\\r\\n self.held_keys.remove(key)\",\n \"def on_key_release(self, key: int, modifiers: int):\\r\\n if key in self.held_keys:\\r\\n self.held_keys.remove(key)\",\n \"def on_key_release(self, event):\\n if self.active:\\n key = event.key or ''\\n for (state, modifier) in self._state_modifier_keys.items():\\n # 'rotate' is changing _state on press and is not removed\\n # from _state when releasing\\n if modifier in key.split('+') and state != 'rotate':\\n self._state.discard(state)\\n self._on_key_release(event)\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP:\\n self.up_pressed = False\\n elif key == arcade.key.DOWN:\\n self.down_pressed = False\\n elif key == arcade.key.LEFT:\\n self.left_pressed = False\\n elif key == arcade.key.RIGHT:\\n self.right_pressed = False\\n elif key == arcade.key.W:\\n self.up_pressed = False\\n elif key == arcade.key.S:\\n self.down_pressed = False\\n elif key == arcade.key.A:\\n self.left_pressed = False\\n elif key == arcade.key.D:\\n self.right_pressed = False\",\n \"def on_key_release(self, key_released: int, _: int) -> None:\\n if key_released in (key.LEFT, key.RIGHT, key.A, key.D):\\n self.change_x = 0\\n self.direction = None\",\n \"def keyReleaseEvent (self, event):\\n super(DiagramScene, self).keyReleaseEvent(event)\",\n \"def on_key_release(self, key, callback):\\n self._key_release_mappings.setdefault(key, []).append(callback)\",\n \"def _on_key_release(self, key):\\n if key is self.TRIGGER_KEY:\\n print(\\\"End Recording\\\")\\n self.do_record = False\",\n \"def k_release(self, key: KKey):\\n pass\",\n \"def ev_KEYUP(self, event):\",\n \"def on_key_release(self, key, modifiers):\\n\\n try:\\n game_key = KEY_MAP[key]\\n except KeyError:\\n return\\n\\n self.game.on_key_release(game_key)\",\n \"def on_key_event(self, key):\\n pass\",\n \"def on_key_release(self, key: int, modifiers: int):\\n\\n if key in self.held_keys:\\n self.held_keys.remove(key)\",\n \"def _on_key_press(self, event):\",\n \"def handle_keyrelease_event(event, labels):\\n\\tglobal current_user\\n\\tglobal current_mode\\n\\t\\n\\t(instruction_label, response_label, congrats_label) = labels\\n\\n\\tif current_mode == \\\"number\\\":\\n\\t\\tnum_char = str(event.char)\\n\\t\\tif num_char in ['1','2','3','4','5','6','7']:\\n\\t\\t\\tpush_update(current_user, int(num_char))\\n\\t\\t\\tcongrats_label.temp_update(random.choice(messages), 1500)\\n\\t\\t\\tcurrent_mode = \\\"user\\\"\\n\\t\\t\\tinstruction_label.update(\\\"Please enter user character...\\\")\",\n \"def on_key_down(self, key, callback):\\n self._key_down_mappings.setdefault(key, []).append(callback)\",\n \"def release_bound_key(self, event):\\n try:\\n if event.key in [key[0] for key in self.key_bindings]:\\n self.unpress()\\n except TypeError:\\n if event.key in self.key_bindings:\\n self.unpress()\",\n \"def key_handler(self):\\n \\n self.pressed = waitKey(1) & 255 #wait for keypress for 10 ms\\n if self.pressed == 27: #exit program on 'esc'\\n print \\\"exiting...\\\"\\n self.camera.cam.release()\\n exit()\\n \\n for key in self.key_controls.keys():\\n if chr(self.pressed) == key:\\n self.key_controls[key]()\",\n \"def keyReleaseEvent(self, event):\\n # The autorepeat debounces\\n if not event.isAutoRepeat():\\n if event.key() == Qt.Key_Up or event.key() == Qt.Key_Down or (\\n event.key() == Qt.Key_Left) or event.key() == Qt.Key_Right:\\n self.notifyObservers(BehavioralStates.RC, (Qt.Key_Slash, \\\"0\\\"))\\n # this is so the next time we press w we know it's a new key\\n elif event.key() == Qt.Key_W:\\n self.notifyObservers(BehavioralStates.RC, (Qt.Key_Q, \\\"0\\\"))\",\n \"def handle_keyrelease(self, event):\\r\\n if event.keysym == \\\"BackSpace\\\":\\r\\n self.delete(self.index(tkinter.INSERT), tkinter.END)\\r\\n self.position = self.index(tkinter.END)\\r\\n if event.keysym == \\\"Left\\\":\\r\\n if self.position < self.index(tkinter.END): # delete the selection\\r\\n self.delete(self.position, tkinter.END)\\r\\n else:\\r\\n self.position = self.position-1 # delete one character\\r\\n self.delete(self.position, tkinter.END)\\r\\n if event.keysym == \\\"Right\\\":\\r\\n self.position = self.index(tkinter.END) # go to end (no selection)\\r\\n if len(event.keysym) == 1:\\r\\n self.autocomplete()\\r\\n # No need for up/down, we'll jump to the popup\\r\\n # list at the position of the autocompletion\\r\",\n \"def on_key_release(self, key, key_modifiers):\\n if key == arcade.key.LEFT or key == arcade.key.DOWN:\\n self.holding_left = False\\n\\n if key == arcade.key.RIGHT or key == arcade.key.UP:\\n self.holding_right = False\",\n \"def debounced_key_release(event):\\n # print('Debounced release', repr(event.key))\\n key_indicator.set_text('')\\n fig.canvas.draw()\",\n \"def on_key_release(event):\\n if event.key == 'shift':\\n self.shift_is_held = False\",\n \"def keyReleaseEvent(self, event):\\n if event.key() not in self.inputs.keys():\\n self.inputs[event.key()] = [False, 0]\\n # end if not in dict, add key to dict\\n self.inputs[event.key()][0] = False\\n\\n for game_object in self.game_engine.game_objects:\\n game_object.key_release_event(event)\\n # end for\",\n \"def handle_keyrelease(self, event):\\n if event.keysym == \\\"BackSpace\\\":\\n self.delete(self.index(tk.INSERT), tk.END)\\n self.position = self.index(tk.END)\\n if event.keysym == \\\"Left\\\":\\n if self.position < self.index(tk.END): # delete the selection\\n self.delete(self.position, tk.END)\\n else:\\n self.position = self.position-1 # delete one character\\n self.delete(self.position, tk.END)\\n if event.keysym == \\\"Right\\\":\\n self.position = self.index(tk.END) # go to end (no selection)\\n if event.keysym == \\\"Down\\\":\\n self.autocomplete(1) # cycle to next hit\\n if event.keysym == \\\"Up\\\":\\n self.autocomplete(-1) # cycle to previous hit\\n if len(event.keysym) == 1 or event.keysym in tkinter_umlauts:\\n self.autocomplete()\",\n \"def key_down(key):\\n vk = key\\n # XXX exception if >= 256\\n _key_down(vk)\",\n \"def handle_keyrelease(self, event):\\r\\n if event.keysym == \\\"BackSpace\\\":\\r\\n self.delete(self.index(tkinter.INSERT), tkinter.END)\\r\\n self.position = self.index(tkinter.END)\\r\\n if event.keysym == \\\"Left\\\":\\r\\n if self.position < self.index(tkinter.END): # delete the selection\\r\\n self.delete(self.position, tkinter.END)\\r\\n else:\\r\\n self.position = self.position-1 # delete one character\\r\\n self.delete(self.position, tkinter.END)\\r\\n if event.keysym == \\\"Right\\\":\\r\\n self.position = self.index(tkinter.END) # go to end (no selection)\\r\\n if event.keysym == \\\"Down\\\":\\r\\n self.autocomplete(1) # cycle to next hit\\r\\n if event.keysym == \\\"Up\\\":\\r\\n self.autocomplete(-1) # cycle to previous hit\\r\\n if len(event.keysym) == 1 or event.keysym in tkinter_umlauts:\\r\\n self.autocomplete()\",\n \"def on_key_release(self, key, modifiers):\\n self.key_pressed = False\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player.change_x = 0\\n if self.player.get_last_side() == \\\"left\\\":\\n self.player.set_action(\\\"left_idle\\\")\\n else:\\n self.player.set_action(\\\"right_idle\\\")\",\n \"def handle_keyhold(self, key, string):\\r\\n return app.App.handle_keyhold(self, key, string)\",\n \"def _callbackKeyButton(self, channel):\\n if self._myKey.readKeyButton(channel) == 0:\\n self.onKeyButtonDown(channel)\\n return\\n\\n if self._myKey.readKeyButton(channel) == 1:\\n self.onKeyButtonUp(channel)\\n return\",\n \"def on_key_release(self, key: int, modifiers: int):\\n if (key == arcade.key.UP or key == arcade.key.W) and \\\\\\n self.direction == MoveEnum.UP:\\n self.direction = MoveEnum.NONE\\n if (key == arcade.key.DOWN or key == arcade.key.S) and \\\\\\n self.direction == MoveEnum.DOWN:\\n self.direction = MoveEnum.NONE\\n if (key == arcade.key.LEFT or key == arcade.key.A) and \\\\\\n self.direction == MoveEnum.LEFT:\\n self.direction = MoveEnum.NONE\\n if (key == arcade.key.RIGHT or key == arcade.key.D) and \\\\\\n self.direction == MoveEnum.RIGHT:\\n self.direction = MoveEnum.NONE\",\n \"def on_key_release(self, key: int, modifiers: int):\\n if (key == arcade.key.UP or key == arcade.key.W) and \\\\\\n self.direction == MoveEnum.UP:\\n self.direction = MoveEnum.NONE\\n if (key == arcade.key.DOWN or key == arcade.key.S) and \\\\\\n self.direction == MoveEnum.DOWN:\\n self.direction = MoveEnum.NONE\\n if (key == arcade.key.LEFT or key == arcade.key.A) and \\\\\\n self.direction == MoveEnum.LEFT:\\n self.direction = MoveEnum.NONE\\n if (key == arcade.key.RIGHT or key == arcade.key.D) and \\\\\\n self.direction == MoveEnum.RIGHT:\\n self.direction = MoveEnum.NONE\",\n \"def key_press_event(self, event):\\n pass\",\n \"def key_event(self, key: Any, action: Any):\\n pass\",\n \"def releaseKeyButtons(self):\\n self._myKey.removeKeyButtonEvent([\\n CONFIG_KEY.BUTTON_ACT_A,\\n CONFIG_KEY.BUTTON_ACT_B,\\n CONFIG_KEY.BUTTON_JOY_UP,\\n CONFIG_KEY.BUTTON_JOY_DOWN,\\n CONFIG_KEY.BUTTON_JOY_LEFT,\\n CONFIG_KEY.BUTTON_JOY_RIGHT,\\n CONFIG_KEY.BUTTON_JOY_OK\\n ])\",\n \"def on_press(key):\\n try:\\n # gets pressed key char value and searches it from dict with get method.\\n mapped_key = key_mappings.get(key.char) # gets value and type tuple or None\\n if mapped_key:\\n module.pressed_key = mapped_key\\n except AttributeError:\\n traceback.print_exc()\\n except KeyboardInterrupt:\\n print(f\\\"\\\\n{module.current_time()} Application stopped\\\")\",\n \"def on_key_release(self, key, modifiers):\\n if self.current_state == GAME_RUNNING:\\n if key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player_sprite.change_x = 0\\n elif key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player_sprite.change_y = 0\\n elif key == arcade.key.SPACE:\\n self.player_sprite.speed = 0\\n elif key == arcade.key.ESCAPE:\\n if self.gameover:\\n self.gameover = 0\\n self.instruction_screen()\",\n \"def ev_KEYDOWN(self, event):\",\n \"def keyUp(self):\\n if pyxel.btnp(pyxel.KEY_UP):\\n self.rotater(-1)\",\n \"def on_key_release(self, key, modifiers):\\n if key == arcade.key.LEFT:\\n self.player_sprite.stop_left()\\n elif key == arcade.key.RIGHT:\\n self.player_sprite.stop_right()\",\n \"def on_key_down(self, keyboard, keycode, text, modifiers):\\n Logger.debug('KeyDown Event: Keycode[1] is \\\"{}\\\"'.format(keycode[1]))\\n self.keysPressed.add(keycode[1])\",\n \"def onkey(self, fun, key):\\n if fun is None:\\n if key in self._keys:\\n self._keys.remove(key)\\n elif key not in self._keys:\\n self._keys.append(key)\\n self._onkeyrelease(fun, key)\",\n \"def on_key_down(self, keycode, keyvalue, event):\\n if self.__click == True and (len(gtk.gdk.keyval_name(event.keyval)) < 2 or gtk.gdk.keyval_name(event.keyval) == \\\"space\\\"):\\n if gtk.gdk.keyval_name(event.keyval) == \\\"space\\\":\\n self.__text = self.__text + \\\" \\\";\\n else:\\n self.__text = self.__text + gtk.gdk.keyval_name(event.keyval);\\n if gtk.gdk.keyval_name(event.keyval) == \\\"BackSpace\\\" and self.__text:\\n self.__text = self.__text[:-1];\\n if gtk.gdk.keyval_name(event.keyval) == \\\"Return\\\" or self.__click == False and self.__text:\\n self.addNew();\\n\\t\\t\\t#screenlets.show_message(self, \\\"Committed\\\");\",\n \"def on_mouse_release(self, x, y, button, key_modifiers):\\r\\n pass\",\n \"def on_keyboard_closed(self):\\n self.keyboard.unbind(on_key_down=self.on_key_down)\\n self.keyboard.unbind(on_key_up=self.on_key_up)\\n self.keyboard = None\",\n \"def on_key_release(self, key, modifiers):\\r\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\r\\n self.player.change_y = 0\\r\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\r\\n self.player.change_x = 0\",\n \"def on_key_release(self, key, modifiers):\\r\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\r\\n self.player.change_y = 0\\r\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\r\\n self.player.change_x = 0\",\n \"def _handle_key_press(self, event: pygame.event.Event) -> None:\\n if event.key == K_0:\\n self._update_input('0')\\n elif event.key == K_1:\\n self._update_input('1')\\n elif event.key == K_2:\\n self._update_input('2')\\n elif event.key == K_3:\\n self._update_input('3')\\n elif event.key == K_4:\\n self._update_input('4')\\n elif event.key == K_5:\\n self._update_input('5')\\n elif event.key == K_6:\\n self._update_input('6')\\n elif event.key == K_7:\\n self._update_input('7')\\n elif event.key == K_8:\\n self._update_input('8')\\n elif event.key == K_9:\\n self._update_input('9')\\n elif event.key == K_BACKSPACE:\\n self._update_input('BACKSPACE')\",\n \"def on_key_press(self, event):\\n\\n #print(\\\"you pressed {}\\\".format(event.key))\\n key_press_handler(event, self.canvas, self.toolbar)\",\n \"def keyReleaseEvent(self, ev):\\n self.currentKbKey = None\\n\\n if (ev.key() == self.panKey):\\n # disable Pan/Zoom mode\\n self.panning = False\\n if self.__pointerLeftWidget:\\n # we've left the widget - reset the cursor to the standard arrow\\n self.setCursor(Qt.ArrowCursor)\\n else:\\n self.setCursor(self.defaultCursor)\\n elif (ev.key() == self.selectAddKey):\\n # disable selection add mode\\n if self.__pointerLeftWidget:\\n # we've left the widget - reset the cursor to the standard arrow\\n self.setCursor(Qt.ArrowCursor)\\n else:\\n self.setCursor(self.defaultCursor)\\n elif (ev.key() == self.zoomKey):\\n # disable zoom mode\\n self.__zooming = False\\n else:\\n self.keyRelease.emit(self, ev)\",\n \"def _on_keyboard_down(self, keyboard, keycode, char, modifiers):\\n\\n print(f\\\"Keystroke: char={char}, code={keycode}, mods={modifiers}\\\")\\n if keycode[0] == 27: # use the Escape key to toggle modes.\\n self.toggle_speak_mode()\\n elif self._speakmode == 'SAY_LETTERS':\\n self.say_letter(keyboard, keycode, char, modifiers)\\n else:\\n self.say_word(keyboard, keycode, char, modifiers)\\n return True\",\n \"def on_key_release(self, key, modifiers):\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player.change_x = 0\",\n \"def keyevent(keyname, **kwargs):\\n G.DEVICE.keyevent(keyname, **kwargs)\\n delay_after_operation()\",\n \"def keyReleaseEvent(self, event: QtGui.QKeyEvent) -> None:\\n if event.key() in [Qt.Key_W, Qt.Key_S, Qt.Key_A, Qt.Key_D] and self.__enable_key:\\n new_direction = self.__directions.index(event.text())\\n # ignore opposite direction\\n if (new_direction + 2) % 4 == self.__h_direction:\\n return\\n self.__h_direction = new_direction\\n if event.isAutoRepeat():\\n self.__change_speed(self.__acc_step)\\n print(f'{event.text().capitalize()}:accelerate speed')\\n else:\\n self.__change_speed(self.__step)\\n print(f'{event.text().capitalize()}:normal speed')\",\n \"def handle_movement_keyup(self, key):\\n def _opposite_dir(key):\\n return {pygame.K_LEFT: pygame.K_RIGHT,\\n pygame.K_RIGHT: pygame.K_LEFT,\\n pygame.K_UP: pygame.K_DOWN}[key]\\n try:\\n log.debug(f'released: {key}')\\n self.keys_down[key] = False\\n if key in {pygame.K_LEFT, pygame.K_RIGHT} and \\\\\\n not(self.keys_down[_opposite_dir(key)]):\\n self.stop_movement()\\n log.debug(f'keys down: {self.keys_down}')\\n except AttributeError:\\n log.error(\\\"you didn't pass a keyboard event!!\\\")\",\n \"def on_key(self, _window, key, _scancode, action, _mods):\\n is_press = action == glfw.PRESS or action == glfw.REPEAT\\n if is_press and (key == glfw.KEY_ESCAPE or key == glfw.KEY_Q):\\n glfw.set_window_should_close(self.window, True)\\n\\n if action != glfw.REPEAT:\\n self.key_handler(key, is_press)\",\n \"def _keyboard_closed(self):\\n self._keyboard.unbind(on_key_down=self._on_keyboard_down)\\n self._keyboard = None\",\n \"def on_key(self, _win, key, _scancode, action, _mods):\\n if action == glfw.PRESS or action == glfw.REPEAT:\\n if key == glfw.KEY_ESCAPE or key == glfw.KEY_Q:\\n glfw.set_window_should_close(self.win, True)\\n if key == glfw.KEY_W:\\n GL.glPolygonMode(GL.GL_FRONT_AND_BACK, next(self.fill_modes))\\n\\n self.key_handler(key)\",\n \"def keyboard_on_key_up(self, window, keycode):\\n if 'shift' in keycode[1]:\\n self.shift_down = False\",\n \"def on_press(key):\\n try:\\n if key.char.upper() == (cfg_cb_key_c.upper()):\\n logger.info(\\\"Clearing clipboard memory.\\\")\\n global browser\\n browser.clear_input(cfg_web_anchor)\\n except AttributeError:\\n pass\",\n \"def on_key_release(self, key, modifiers):\\n if key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player.change_x = 0\\n elif key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player.change_y = 0\",\n \"def k_press(self, key: KKey):\\n pass\",\n \"def key_down(event, ai, var, screen, ship, shots, enemies, charges, shields, hub):\\r\\n\\tif event.key == pygame.K_UP:\\r\\n\\t\\tship.move_up = 1\\r\\n\\telif event.key == pygame.K_DOWN:\\r\\n\\t\\tship.move_down = 1\\r\\n\\telif event.key == pygame.K_SPACE:\\r\\n\\t\\tshoot_bullet(ai, screen, ship, shots, enemies)\\r\\n\\t\\tbegin_charge(ai, var, screen, ship, charges)\\r\\n\\telif event.key == pygame.K_RSHIFT or event.key == pygame.K_LSHIFT:\\r\\n\\t\\tcall_shield(ai, var, screen, ship, shields, hub)\\r\\n\\telif event.key == pygame.K_q:\\r\\n\\t\\tsys.exit()\\r\\n\\t#elif event.key == pygame.K_p:\\r\\n\\t#\\thub.pause = 1\\r\\n\\telif event.key == pygame.K_z:\\r\\n\\t\\thub.za_wurado(ai)\",\n \"def on_key_release(self, key: arcade.key, modifiers):\\n #stops sprite movement when key is released\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player_sprite.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player_sprite.change_x = 0\",\n \"def on_key_press(self, event):\\n if self.active:\\n key = event.key or ''\\n key = key.replace('ctrl', 'control')\\n if key == self._state_modifier_keys['clear']:\\n self.clear()\\n return\\n for (state, modifier) in self._state_modifier_keys.items():\\n if modifier in key.split('+'):\\n # 'rotate' is changing _state on press and is not removed\\n # from _state when releasing\\n if state == 'rotate':\\n if state in self._state:\\n self._state.discard(state)\\n else:\\n self._state.add(state)\\n else:\\n self._state.add(state)\\n self._on_key_press(event)\",\n \"def debounced_key_press(event):\\n # print('Debounced press', repr(event.key))\\n key_indicator.set_text(event.key)\\n if event.key == ' ':\\n throttle_handler()\\n fig.canvas.draw()\",\n \"def HandleKeyboardInput(self):\\n key = yg.getKeyPress()\\n if key == \\\"Return\\\":\\n self.buttons[len(self.buttons) - 1].Click()\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player_sprite.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player_sprite.change_x = 0\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player_sprite.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player_sprite.change_x = 0\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player_sprite.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player_sprite.change_x = 0\",\n \"def on_key_release(self, key):\\n if key == LEFT:\\n self.player.change_x = 0\\n elif key == RIGHT:\\n self.player.change_x = 0\\n elif key == UP:\\n self.player.change_y = 0\\n elif key == DOWN:\\n self.player.change_y = 0\",\n \"def handle_event(self, event, window):\\n raise NotImplementedError('handle_key')\",\n \"def __handleKeyDown(self, key):\\n self._keysPressed += 1\\n if self._keyDown is None and self._keysPressed == 1:\\n assert(self.notify.debug(\\\"Key Down for Pattern: \\\" + key))\\n self.__updateElapsedTime()\\n # Inform that a key has been pressed\\n messenger.send(KeyCodes.KEY_DOWN_EVENT, [self._keyMap[key], self._keyCodeCount])\\n \\n self._keyCode += self._keyMap[key]\\n self._keyCodeCount += 1\\n self._keyDown = key\\n self.__checkForPattern()\\n else:\\n messenger.send(KeyCodes.KEY_DOWN_EVENT, [-1, -1])\",\n \"def on_key_release(self, key, key_modifiers):\\n if key == arcade.key.UP or key == arcade.key.DOWN:\\n self.player_sprite.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.RIGHT:\\n self.player_sprite.change_x = 0\",\n \"def off(key):\\n # print(\\\"{0} released\\\".format(key), time.perf_counter())\\n\\n global keys, esc_count\\n\\n # caps, shift, etc. aren't automatically registered as strings\\n if type(key) == Key:\\n keys[esc_count].append((str(key), time.perf_counter(), \\\"released\\\"))\\n else:\\n keys[esc_count].append((key, time.perf_counter(), \\\"released\\\"))\",\n \"def cb_key_pressed(data, signal, signal_data):\\n global last_signal_time\\n last_signal_time = time.time()\\n if signal_data == \\\"\\\\x01[\\\":\\n # In 50ms, check if any other keys were pressed. If not, it's Esc!\\n weechat.hook_timer(50, 0, 1, \\\"cb_check_esc\\\",\\n \\\"{:f}\\\".format(last_signal_time))\\n return weechat.WEECHAT_RC_OK\",\n \"def on_keydown(self, keys, game) -> None:\\n pass\",\n \"def on_key_release(self, key, modifiers):\\n if key == arcade.key.A or key == arcade.key.D:\\n self.player.change_x = 0\\n\\n elif key == arcade.key.W or key == arcade.key.S:\\n self.player.change_y = 0\",\n \"def on_key_release(self, key, modifiers):\\n if key == arcade.key.LEFT or key == arcade.key.A:\\n getattr(self, f\\\"player{self.assigned_player}\\\").change_x = 0\\n elif key == arcade.key.RIGHT or key == arcade.key.D:\\n getattr(self, f\\\"player{self.assigned_player}\\\").change_x = 0\",\n \"def OnKeydown(self, vkey, shift):\\n if vkey == 27:\\n # The ESC key was pressed so close the window and leave.\\n self.Close()\\n else:\\n # An unknown key was pressed.\\n return self.on_key_down(vkey, shift)\\n\\n return True\",\n \"def on_key_release(self, key, modifiers):\\n if key == arcade.key.UP or key == arcade.key.W or key == arcade.key.DOWN or key == arcade.key.S:\\n self.player_sprite.change_y = 0\\n elif key == arcade.key.LEFT or key == arcade.key.A or key == arcade.key.RIGHT or key == arcade.key.D:\\n self.player_sprite.change_x = 0\",\n \"def on_key_release(self, key, modifiers):\\n if not self.ship or not self._can_control:\\n return False\\n\\n self._pressed_keys.remove(key)\\n\\n consumed = True\\n\\n if key == arcade.key.W:\\n self.ship.set_thrust(self.ship.thrust - Position(0, 0.15))\\n elif key == arcade.key.S:\\n self.ship.set_thrust(self.ship.thrust - Position(0, -0.15))\\n elif key == arcade.key.Q:\\n self.ship.set_thrust(self.ship.thrust - Position(0.1, 0))\\n elif key == arcade.key.E:\\n self.ship.set_thrust(self.ship.thrust - Position(-0.1, 0))\\n elif key == arcade.key.A:\\n self.ship.set_angle_delta(self.ship.angle_delta - 3)\\n elif key == arcade.key.D:\\n self.ship.set_angle_delta(self.ship.angle_delta + 3)\\n else:\\n consumed = False\\n\\n if len(self._pressed_keys) == 0:\\n self.ship.set_angle_delta(0.0)\\n self.ship.set_thrust(Position(0.0, 0.0))\\n\\n return True\",\n \"def _release(self, event):\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8233656","0.7974817","0.7656666","0.76358575","0.74908","0.73535097","0.73379964","0.7314337","0.7266822","0.7175188","0.7162018","0.7148087","0.70924264","0.7065574","0.70232534","0.7012686","0.7012686","0.70101947","0.70101947","0.6966152","0.69470584","0.6941192","0.6935012","0.6932204","0.69136596","0.69123584","0.6893143","0.68883544","0.68824977","0.6858991","0.68417597","0.6788778","0.6713969","0.67127544","0.67112064","0.6658313","0.66559064","0.66521055","0.6624984","0.6615595","0.6611468","0.66067785","0.6575267","0.65743005","0.6545204","0.6502516","0.6442815","0.64364874","0.64364874","0.6422689","0.64172226","0.6409969","0.6406457","0.63867635","0.6378577","0.63490885","0.6342644","0.63410217","0.63177466","0.62775296","0.6270158","0.62517816","0.62421554","0.62421554","0.6241391","0.6226897","0.6224081","0.6217824","0.6212826","0.62107426","0.62039185","0.62006634","0.6194423","0.6178634","0.6170446","0.61475265","0.6139654","0.61074364","0.61054224","0.6099335","0.60896754","0.60802376","0.6071794","0.6069874","0.6069134","0.6069134","0.6069134","0.6065924","0.60409284","0.60397154","0.60290164","0.6028613","0.6006708","0.6005393","0.5987848","0.5976556","0.59737355","0.5968577","0.59651685","0.5960135"],"string":"[\n \"0.8233656\",\n \"0.7974817\",\n \"0.7656666\",\n \"0.76358575\",\n \"0.74908\",\n \"0.73535097\",\n \"0.73379964\",\n \"0.7314337\",\n \"0.7266822\",\n \"0.7175188\",\n \"0.7162018\",\n \"0.7148087\",\n \"0.70924264\",\n \"0.7065574\",\n \"0.70232534\",\n \"0.7012686\",\n \"0.7012686\",\n \"0.70101947\",\n \"0.70101947\",\n \"0.6966152\",\n \"0.69470584\",\n \"0.6941192\",\n \"0.6935012\",\n \"0.6932204\",\n \"0.69136596\",\n \"0.69123584\",\n \"0.6893143\",\n \"0.68883544\",\n \"0.68824977\",\n \"0.6858991\",\n \"0.68417597\",\n \"0.6788778\",\n \"0.6713969\",\n \"0.67127544\",\n \"0.67112064\",\n \"0.6658313\",\n \"0.66559064\",\n \"0.66521055\",\n \"0.6624984\",\n \"0.6615595\",\n \"0.6611468\",\n \"0.66067785\",\n \"0.6575267\",\n \"0.65743005\",\n \"0.6545204\",\n \"0.6502516\",\n \"0.6442815\",\n \"0.64364874\",\n \"0.64364874\",\n \"0.6422689\",\n \"0.64172226\",\n \"0.6409969\",\n \"0.6406457\",\n \"0.63867635\",\n \"0.6378577\",\n \"0.63490885\",\n \"0.6342644\",\n \"0.63410217\",\n \"0.63177466\",\n \"0.62775296\",\n \"0.6270158\",\n \"0.62517816\",\n \"0.62421554\",\n \"0.62421554\",\n \"0.6241391\",\n \"0.6226897\",\n \"0.6224081\",\n \"0.6217824\",\n \"0.6212826\",\n \"0.62107426\",\n \"0.62039185\",\n \"0.62006634\",\n \"0.6194423\",\n \"0.6178634\",\n \"0.6170446\",\n \"0.61475265\",\n \"0.6139654\",\n \"0.61074364\",\n \"0.61054224\",\n \"0.6099335\",\n \"0.60896754\",\n \"0.60802376\",\n \"0.6071794\",\n \"0.6069874\",\n \"0.6069134\",\n \"0.6069134\",\n \"0.6069134\",\n \"0.6065924\",\n \"0.60409284\",\n \"0.60397154\",\n \"0.60290164\",\n \"0.6028613\",\n \"0.6006708\",\n \"0.6005393\",\n \"0.5987848\",\n \"0.5976556\",\n \"0.59737355\",\n \"0.5968577\",\n \"0.59651685\",\n \"0.5960135\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.76694167"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":1490,"cells":{"query":{"kind":"string","value":"Called when a mouse button is pressed in the widget. Adjust method signature as appropriate for callback."},"document":{"kind":"string","value":"def button_press_event(self, widget, event):\n x, y = event.x, event.y\n\n # x, y = coordinates where the button was pressed\n self.last_win_x, self.last_win_y = x, y\n\n button = 0\n # Prepare a button mask with bits set as follows:\n # left button: 0x1\n # middle button: 0x2\n # right button: 0x4\n # Others can be added as appropriate\n self.logger.debug(\"button down event at %dx%d, button=%x\" % (x, y, button))\n\n data_x, data_y = self.check_cursor_location()\n\n return self.make_ui_callback('button-press', button, data_x, data_y)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def on_mouse_press(self, x, y, button):\n\n pass","def ev_mousebuttondown(self, event: MouseButtonDown) -> None:","def handle_mouse_press(self, event):","def mouse_press_event(self, x: int, y: int, button: int):\n pass","def on_mouse_press(self, x, y, button, key_modifiers):\r\n pass","def ev_mousebuttondown(self, event: tcod.event.MouseButtonDown) -> T | None:","def _press(self, event):","def ev_mousebuttonup(self, event: MouseButtonUp) -> None:","def on_mouse_release(self, x, y, button):\n pass","def eventHandler(self, event: pygame.event):\n # change selected color if this button's rectangle was clicked\n if event.type == pygame.MOUSEBUTTONDOWN:\n if event.button == 1:\n if self.rect.collidepoint(event.pos): # is mouse over button\n self.image = self._images[ButtonImages.CLICKING_IMAGE.value]\n self.beingClicked = True\n for func, *args in self.functionsToInvokeWhenClicked:\n func(*args)\n elif event.type == pygame.MOUSEBUTTONUP and self.beingClicked:\n if event.button == 1:\n self.beingClicked = False\n self.image = self._images[ButtonImages.DEFAULT_IMAGE.value]","def press(self):\n self.clicked = True\n if self.command:\n self.command(self.name)","def ev_mousebuttonup(self, event: tcod.event.MouseButtonUp) -> T | None:","def bind(self):\n self.canvas.bind(\"<ButtonPress-1>\", self.click)","def on_mouse_release(self, x, y, button, key_modifiers):\r\n pass","def emitPressEvent(self, clickLocation, button, currentKbKey, items):\n # emit the mousePressEvent signal\n self.mousePress.emit(self, clickLocation, button, currentKbKey, items)","def on_mouse_up(self, pos, mouse_button):\n for item in button.Button.all_buttons:\n if item.collidepoint(pos):\n self.buttons_clicked.append((item, mouse_button))\n item.on_click(mouse_button)","def HandlePress(self, event: tkEvent):\n pass","def HandButton(self, event):\n pass","def input(self, event: pygame.event) -> None:\n if event.type == pygame.MOUSEBUTTONDOWN and event.button == 1:\n self.user_clicked = True","def button_press_cb(self, source, event):\n\n if event.button == MOUSE_BUTTON_RIGHT:\n pass\n return True\n elif event.button == MOUSE_BUTTON_MIDDLE:\n self.emit('begin-move')\n return True","def handle_mouse_click(self, button: Button) -> None:\n if button.name == 'BACK':\n self._clear_all_input()\n self.current_page -= 1\n self._focused_button = None\n if self.current_page == len(self.pages) - 2:\n self.current_page -= 1\n elif button.name == 'Show Graph':\n self._plot_graph()\n elif button.name == 'Multiple Regression':\n self._selection.handle_selection(self.current_page, button.name)\n self.current_page += 2\n self._update_ghg_coefs()\n elif button.tag == 'normal' and self.current_page < len(self.pages) - 2:\n self._selection.handle_selection(self.current_page, button.name)\n self.current_page += 1\n elif isinstance(button, InputButton):\n self._focused_button = button","def on_press(self):\n self.pressed = True","def on_press(self):\n self.pressed = True","def button_release_event(self, widget, event):\n x, y = event.x, event.y\n\n # x, y = coordinates where the button was released\n self.last_win_x, self.last_win_y = x, y\n\n button = 0\n # prepare button mask as in button_press_event()\n\n data_x, data_y = self.check_cursor_location()\n\n return self.make_ui_callback('button-release', button, data_x, data_y)","def mousePressEvent(self, mouse_event):\r\n return","def __on_click(self, evt):\n if evt.button() == Qt.LeftButton:\n return self._on_left_click(evt)\n if evt.button() == Qt.RightButton:\n return self._on_right_click(evt)","def _press(self, event):\n # make the drawn box/line visible get the click-coordinates,\n # button, ...\n if self._interactive and self._selection_artist.get_visible():\n self._set_active_handle(event)\n else:\n self._active_handle = None\n\n if ((self._active_handle is None or not self._interactive) and\n self._allow_creation):\n # Clear previous rectangle before drawing new rectangle.\n self.update()\n\n if (self._active_handle is None and not self.ignore_event_outside and\n self._allow_creation):\n x = event.xdata\n y = event.ydata\n self._visible = False\n self.extents = x, x, y, y\n self._visible = True\n else:\n self.set_visible(True)\n\n self._extents_on_press = self.extents\n self._rotation_on_press = self._rotation\n self._set_aspect_ratio_correction()\n\n return False","def button_press_cb(self, darea, event):\n x, y = event.x, event.y\n self.draw_pointer(self.cr, x, y)\n self.queue_draw()\n self.oldx, self.oldy = x, y\n rel_x, rel_y = self.absolute_to_relative(x, y)\n self.emit('dnd-value', rel_x, rel_y)\n self.emit('start-dnd')\n return True","def m_press(self, button: MButton):\n pass","def ev_MOUSEDOWN(self, event):","def on_key_press(self, event):\n\n #print(\"you pressed {}\".format(event.key))\n key_press_handler(event, self.canvas, self.toolbar)","def ev_MOUSEUP(self, event):","def ev_mousebuttondown(self, event):\n if self.engine.game_map.in_bounds(*event.tile):\n if event.button == 1:\n return self.on_index_selected(*event.tile)\n return super().ev_mousebuttondown(event)","def mouseReleaseEvent(self, event):\n button = event.button()\n\n # select an item on which we clicked\n item = self.itemAt(event.x(), event.y())\n if item:\n self.setCurrentItem(item)\n if button == 1:\n print \"SIMPLE LEFT CLICK\"","def _on_button_press_event(self, widget, event):\n if event.button == 3:\n self.menu.popup(None, None, None, None, event.button, event.time)\n self.menu.show_all()","def _press(self, event):\n self._set_cursor(True)\n if self._interactive and self._selection_artist.get_visible():\n self._set_active_handle(event)\n else:\n self._active_handle = None\n\n if self._active_handle is None or not self._interactive:\n # Clear previous rectangle before drawing new rectangle.\n self.update()\n\n v = event.xdata if self.direction == 'horizontal' else event.ydata\n # self._pressv and self._prev are deprecated but we still need to\n # maintain them\n self._pressv = v\n self._prev = self._get_data(event)\n\n if self._active_handle is None and not self.ignore_event_outside:\n # when the press event outside the span, we initially set the\n # visibility to False and extents to (v, v)\n # update will be called when setting the extents\n self._visible = False\n self.extents = v, v\n # We need to set the visibility back, so the span selector will be\n # drawn when necessary (span width > 0)\n self._visible = True\n else:\n self.set_visible(True)\n\n return False","def mouse_click(self,x,y,button,double_click):\n raise NotImplementedError(\"ERROR: Unimplemented function.\")","def mouse_release_event(self, x: int, y: int, button: int):\n pass","def set_mouseclick_handler(self, mouse_handler):\n STmouse.Mouse(self.canvas, '<Button-1>', mouse_handler)","def OnButton(self, event):\r\n \r\n button = event.GetInt()\r\n\r\n if button == AUI_BUTTON_LEFT or button == AUI_BUTTON_RIGHT:\r\n if button == AUI_BUTTON_LEFT:\r\n if self.GetTabOffset() > 0:\r\n \r\n self.SetTabOffset(self.GetTabOffset()-1)\r\n self.Refresh()\r\n self.Update()\r\n else:\r\n self.SetTabOffset(self.GetTabOffset()+1)\r\n self.Refresh()\r\n self.Update()\r\n \r\n elif button == AUI_BUTTON_WINDOWLIST:\r\n idx = self.GetArtProvider().ShowDropDown(self, self._pages, self.GetActivePage())\r\n \r\n if idx != -1:\r\n \r\n e = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_PAGE_CHANGING, self.GetId())\r\n e.SetSelection(idx)\r\n e.SetOldSelection(self.GetActivePage())\r\n e.SetEventObject(self)\r\n self.GetEventHandler().ProcessEvent(e)\r\n \r\n else:\r\n event.Skip()","def cb_something_4(self, button): \n print(\"Do Something 4\")","def handle_press( self, x, y ):\n self.pressed_flag = True\n self.first_point = (x, y)","def _on_key_press(self, event):","def on_pushButton_clicked(self):\n # TODO: not implemented yet\n raise NotImplementedError","def on_pushButton_clicked(self):\n # TODO: not implemented yet\n raise NotImplementedError","def clickedAction(self, events):\n print(\"The {} button was clicked!\".format(self.imgname))","def mousePressed(self, _evt, _id):\n _widget = None\n \n if _id == ois.MB_Left:\n _widget = self._mouseLeft\n elif _id == ois.MB_Right:\n _widget = self._mouseRight\n elif _id == ois.MB_Middle:\n _widget = self._mouseMiddle\n \n if _widget is not None:\n self._addLinearAnimation(_widget, 1.0)\n \n return False","def _on_pyglet_mouse_click(self, x, y, button, modifiers):\n button_time = clock()\n this_button = self._button_names[button]\n self._mouse_buffer.append((this_button, x, y, button_time))","def on_mouse_press(self, x, y, button, modifiers):\n\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\n\n if self.exclusive:\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\n else:\n self.set_exclusive_mouse(True)","def handle_mousedown(self, button, name):\r\n x = widget.Widget.handle_mousedown(self, button, name)\r\n if not self.mouse_on_me():\r\n return False\r\n if not self.get_visible():\r\n return False\r\n for i in self.widgets:\r\n if i.get_visible():\r\n if i.handle_mousedown(button, name):\r\n return True\r\n return x","def _left_button_press_event(self, obj, event):\n #print('area_picker - left_button_press_event')\n self.OnLeftButtonDown()\n pixel_x, pixel_y = self.parent.vtk_interactor.GetEventPosition()\n self.picker_points.append((pixel_x, pixel_y))","def OnButton(self, event):\n button = event.GetEventObject().GetName()\n if button == \"Button1\":\n self.OnButton1()\n elif button == \"Button2\":\n self.OnButton2()\n elif button == \"Button3\":\n self.OnExit(event)","def OnLeftUp_ClickButton(self, event):\r\n \r\n self._hover_button = None\r\n\r\n if self._action_part:\r\n self.RefreshButton(self._action_part)\r\n\r\n # make sure we're still over the item that was originally clicked\r\n if self._action_part == self.HitTest(*event.GetPosition()):\r\n \r\n # fire button-click event\r\n e = AuiManagerEvent(wxEVT_AUI_PANE_BUTTON)\r\n e.SetManager(self)\r\n e.SetPane(self._action_part.pane)\r\n e.SetButton(self._action_part.button.button_id)\r\n self.ProcessMgrEvent(e)","def mousePressEvent(self, event):\n #sw = self.spw.windows['Sort']\n buttons = event.buttons()\n if buttons == QtCore.Qt.MiddleButton:\n #sw.on_actionSelectRandomSpikes_triggered()\n #sw.spykewindow.plotButton.click() # same as hitting ENTER in nslist\n self.selecting = True\n self.setMouseTracking(True) # while selecting\n self.selectPointsUnderCursor()\n self.lastPressPos = QtCore.QPoint(event.pos())\n self.lastPos = QtCore.QPoint(event.pos())","def mousePressEvent(self, event): \n if event.type() == qtc.QEvent.MouseButtonPress:\n if event.button() == qtc.Qt.RightButton:\n self.right_click_event()\n\n elif event.button() == qtc.Qt.LeftButton:\n self.left_click_event(event)\n self.mouseStartPosY = event.pos().y()\n self.startValue = self.value()","def mousePressEvent(self, event):\n #sw = self.spw.windows['Sort']\n buttons = event.buttons()\n if buttons == QtCore.Qt.MiddleButton:\n #sw.on_actionSelectRandomSpikes_triggered()\n #sw.spykewindow.ui.plotButton.click() # same as hitting ENTER in nslist\n self.selecting = True\n self.setMouseTracking(True) # while selecting\n self.selectPointsUnderCursor()\n self.lastPressPos = QtCore.QPoint(event.pos())\n self.lastPos = QtCore.QPoint(event.pos())","def _left_button_release_event(self, obj, event):\n #self.OnLeftButtonUp()\n pixel_x, pixel_y = self.parent.vtk_interactor.GetEventPosition()\n #selector = vtk.vtkVisibleCellSelector()\n\n self.picker_points.append((pixel_x, pixel_y))\n\n #print(self.picker_points)\n if len(self.picker_points) == 2:\n p1x, p1y = self.picker_points[0]\n p2x, p2y = self.picker_points[1]\n self.picker_points = []\n xmin = min(p1x, p2x)\n ymin = min(p1y, p2y)\n xmax = max(p1x, p2x)\n ymax = max(p1y, p2y)\n #print(self.picker_points)\n #print('_area_pick_left_button_release', cell_id)\n\n dx = abs(p1x - p2x)\n dy = abs(p1y - p2y)\n self.picker_points = []\n if dx > 0 and dy > 0:\n if self._pick_visible:\n self._pick_visible_ids(xmin, ymin, xmax, ymax)\n else:\n self._pick_depth_ids(xmin, ymin, xmax, ymax)\n self.parent.vtk_interactor.Render()\n self.picker_points = []","def handle_mousedown(self, button, name):\r\n if self.get_visible():\r\n for i in self.widgets:\r\n if i.get_visible():\r\n if i.handle_mousedown(button, name):\r\n return True\r\n return False","def cb_something_1(self, button):\n print(\"Do Something 1\")","def signal_from_widget(self, event):\n self.keyPressEvent(event)","def OnLeftUp(self, event):\r\n\r\n self._on_button = False\r\n \r\n if self._is_dragging:\r\n\r\n if self.HasCapture():\r\n self.ReleaseMouse()\r\n \r\n self._is_dragging = False\r\n if self._drag_image:\r\n self._drag_image.EndDrag()\r\n del self._drag_image\r\n self._drag_image = None\r\n self.GetParent().Refresh()\r\n\r\n evt = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_END_DRAG, self.GetId())\r\n evt.SetSelection(self.GetIdxFromWindow(self._click_tab))\r\n evt.SetOldSelection(evt.GetSelection())\r\n evt.SetEventObject(self)\r\n self.GetEventHandler().ProcessEvent(evt)\r\n\r\n return\r\n\r\n if self.HasCapture():\r\n self.ReleaseMouse()\r\n \r\n if self._pressed_button:\r\n \r\n # make sure we're still clicking the button\r\n button = self.ButtonHitTest(event.GetX(), event.GetY())\r\n \r\n if button is None:\r\n return\r\n\r\n if button != self._pressed_button:\r\n self._pressed_button = None\r\n return\r\n \r\n self.Refresh()\r\n self.Update()\r\n\r\n if self._pressed_button.cur_state & AUI_BUTTON_STATE_DISABLED == 0:\r\n \r\n evt = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_BUTTON, self.GetId())\r\n evt.SetSelection(self.GetIdxFromWindow(self._click_tab))\r\n evt.SetInt(self._pressed_button.id)\r\n evt.SetEventObject(self)\r\n self.GetEventHandler().ProcessEvent(evt)\r\n \r\n self._pressed_button = None\r\n \r\n self._click_pt = wx.Point(-1, -1)\r\n self._is_dragging = False\r\n self._click_tab = None","def click_button(self):\n self.widgets.get('button').click()","def mousePressEvent(self, event):\n if event.buttons() == QtCore.Qt.LeftButton:\n self.view_state.mouse = np.array([event.x(), event.y()])","def on_toolButton_clicked(self):\n # TODO: not implemented yet\n raise NotImplementedError","def button_release_cb(self, darea, event):\n self.oldx, self.oldy = event.x, event.y\n self.draw_pointer(self.cr, None, None)\n self.queue_draw()\n self.oldx, self.oldy = None, None\n self.emit('end-dnd')\n return True","def __check_if_got_pressed(self):\n mouse_x_pos,mouse_y_pos = pg.mouse.get_pos()\n\n if utilitiez.on_object(self.rect.x, self.rect.y, self.rect.width, self.rect.height, mouse_x_pos, mouse_y_pos,\n MOUSE_WIDTH, MOUSE_HEIGHT):\n self.__on_click()","def _onscreenclick(self, fun, num=1, add=None):\n if fun is None:\n self.cv.unbind(\"<Button-%s>\" % num)\n else:\n def eventfun(event):\n x, y = (self.cv.canvasx(event.x)/self.xscale,\n -self.cv.canvasy(event.y)/self.yscale)\n fun(x, y)\n self.cv.bind(\"<Button-%s>\" % num, eventfun, add)","def onMouseLeftDown(self, event):\n # [NOTE] No need to call self.choice(). It is enough to call\n # event.Skip() and the machine will be called self.OnButtonClick()\n event.Skip()","def _pressed(self, evt):\n x, y, widget = evt.x, evt.y, evt.widget\n item = widget.identify_row(y)\n column = widget.identify_column(x)\n\n if not column or not item in self._items:\n # clicked in the weekdays row or just outside the columns\n return\n\n item_values = widget.item(item)['values']\n if not len(item_values): # row is empty for this month\n return\n\n text = item_values[int(column[1]) - 1]\n if not text: # date is empty\n return\n\n bbox = widget.bbox(item, column)\n if not bbox: # calendar not visible yet\n return\n\n # update and then show selection\n text = '%02d' % text\n self._selection = (text, item, column)\n self._show_selection(text, bbox)","def _on_key_release(self, event):","def cb_something_3(self, button):\n print(\"Do Something 3\")","def _onrelease(self, item, fun, num=1, add=None):\n if fun is None:\n self.cv.tag_unbind(item, \"<Button%s-ButtonRelease>\" % num)\n else:\n def eventfun(event):\n x, y = (self.cv.canvasx(event.x)/self.xscale,\n -self.cv.canvasy(event.y)/self.yscale)\n fun(x, y)\n self.cv.tag_bind(item, \"<Button%s-ButtonRelease>\" % num,\n eventfun, add)","def get_event(self, event):\n if event.type == pg.MOUSEBUTTONDOWN and event.button == 1:\n if self.rect.collidepoint(event.pos):\n self.toggle()","def _click(self):\n if hasattr(self.canvas[\"items\"][self.index], 'commandFunc'):\n self.canvas[\"items\"][self.index].commandFunc(None)","def click(self):\r\n pass","def on_mouse_press(self, x, y, button, modifiers):\n self.add_wall()","def was_pressed(self) -> bool:","def click(self, x, y, button, press):\n\n if self.is_in_screen(x, y) and not self.pause:\n self.get_color(x, y)\n self.record(x, y, button, press)","def on_mouse_click(self, event):\n if not self.is_game_over:\n try:\n # i, j coordinates of the click event\n i = int(round(event.ydata))\n j = int(round(event.xdata))\n\n # Left button\n if event.button == 1 or event.button == 2:\n self.reveal(i, j)\n\n # Right button\n elif event.button == 3:\n self.flag(i, j)\n\n except (TypeError, IndexError):\n pass","def pushButtonClicked(self, but_id, button):\n self.ui.tv_bindings.clearSelection()\n lstMatch = self.ui.tv_bindings.findItems(but_id, QtCore.Qt.MatchExactly, 0)[0]\n lstMatch.setSelected(True)\n lstMatch.setText(1, '[Press a key]')\n button.installEventFilter(self)\n self.efButton = button # Not elegant, but.... works","def mouseDragged():\n if mousePressed:\n mousePressed()","def mousePressEvent(self, event):\n self._use_zinc_mouse_event_handling = False # Track when zinc should be handling mouse events\n if self._ignore_mouse_events:\n event.ignore()\n return\n\n event.accept()\n if event.button() not in button_map:\n return\n \n self._selection_position_start = (event.x(), event.y())\n\n if button_map[event.button()] == Sceneviewerinput.BUTTON_TYPE_LEFT\\\n and self._selectionKeyPressed and (self._nodeSelectMode or self._elemSelectMode):\n self._selection_mode = SelectionMode.EXCLUSIVE\n if event.modifiers() & QtCore.Qt.SHIFT:\n self._selection_mode = SelectionMode.ADDITIVE\n else:\n scene_input = self._sceneviewer.createSceneviewerinput()\n scene_input.setPosition(event.x(), event.y())\n scene_input.setEventType(Sceneviewerinput.EVENT_TYPE_BUTTON_PRESS)\n scene_input.setButtonType(button_map[event.button()])\n scene_input.setModifierFlags(modifier_map(event.modifiers()))\n self._sceneviewer.processSceneviewerinput(scene_input)\n self._use_zinc_mouse_event_handling = True","def on_click(self, event_callable, ret_widget_values=None, block_signal=False):\n #TODO Implementation of ret_widget_values\n #TODO Implementation of block_signal?? or removal\n self.on_click_callable = event_callable\n self._raw_toolbar.onClick(\n self.on_click_return,\n ret_widget_values=ret_widget_values,\n block_signal=block_signal\n )","def on_mouse_press(self, x, y, button, modifiers):\n \n menu: Menu = self.get_menu_for_display()\n\n menu_click_x, menu_click_y = self.get_menu_click(menu, x, y)\n\n if button == arcade.MOUSE_BUTTON_LEFT:\n if menu:\n menu.button_list.check_mouse_press_for_buttons(\n menu_click_x,\n menu_click_y,\n )","def LeftClick(self):\n self._PressLeftButton()\n self._ReleaseAllButtons()","def leftButtonDown(self):\n\t\tautopy.mouse.toggle(True,autopy.mouse.LEFT_BUTTON)","def HandleKeyboardInput(self):\n key = yg.getKeyPress()\n if key == \"Return\":\n self.buttons[len(self.buttons) - 1].Click()","def on_click(self, x, y):\n self.menu_pointer.on_click(x, y)","def mousePressEvent(self, event): \n if event.type() == qtc.QEvent.MouseButtonPress:\n if event.button() == qtc.Qt.LeftButton:\n self.mouseStartPosY = event.pos().y()\n self.startValue = self.value()\n\n elif event.button() == qtc.Qt.MidButton:\n self.set_value_to_default()","def button_press_event(self, widget, event, menu):\n\t\tif event.type == gtk.gdk.BUTTON_PRESS and event.button == 3:\n\t\t\tmenu.popup(None, None, None, event.button, event.time)\n\t\treturn False","def set_events(self):\r\n\r\n self.canvas.bind(\"<Button-1>\", self.event_click_left)\r\n self.bind(\"<Return>\", self.event_return)","def when_pressed(self, button, func, *args):\n\n self.hardware_interfaces[self._gpio].set_pin_event(self._b_names[button],\n func,\n *args)","def handle_button(self, event, event_type):\n # 0 for left\n # 1 for right\n # 2 for middle/center\n # 3 for side\n mouse_button_number = self._get_mouse_button_number(event)\n\n # Identify buttons 3,4,5\n if event_type in (25, 26):\n event_type = event_type + (mouse_button_number * 0.1)\n\n # Add buttons to events\n event_type_string, event_code, value, scan = self.codes[event_type]\n if event_type_string == \"Key\":\n scan_event, key_event = self.emulate_press(\n event_code, scan, value, self.timeval)\n self.events.append(scan_event)\n self.events.append(key_event)\n\n # doubleclick/n-click of button\n click_state = self._get_click_state(event)\n\n repeat = self.emulate_repeat(click_state, self.timeval)\n self.events.append(repeat)","def onButtonPress(self, event):\n\n if event.xdata and event.ydata:\n self.emit(QtCore.SIGNAL(\"positionSelected(float, float)\"),\n float(event.xdata), float(event.ydata))","def mousePressEvent(self, ev):\n super(PlotObject, self).mousePressEvent(ev)\n self._downpos = self.mousePos","def check_event(self, event):\r\n if event.type == pygame.MOUSEBUTTONDOWN:\r\n if self.selected:\r\n for item in self.buttons:\r\n item.handleMouseDown(event.pos[0], event.pos[1])\r\n else:\r\n self.tab.handleMouseDown(event.pos[0], event.pos[1])","def handle_mouseup(self, button, name):\r\n if self.get_visible():\r\n for i in self.widgets:\r\n if i.get_visible():\r\n if i.handle_mouseup(button, name):\r\n return True\r\n return False","def on_click(self, x, y):\n mul_x, mul_y = self.multiplier\n off_x, off_y = self.offset\n x -= off_x\n x /= mul_x\n y -= off_y\n y /= mul_y\n for button in self.button_dict.values():\n button.check_click(x, y)","def get_pressed(self): \n raise NotImplementedError","def pressed(self) -> bool:\n return self.type == \"JOYBUTTONDOWN\""],"string":"[\n \"def on_mouse_press(self, x, y, button):\\n\\n pass\",\n \"def ev_mousebuttondown(self, event: MouseButtonDown) -> None:\",\n \"def handle_mouse_press(self, event):\",\n \"def mouse_press_event(self, x: int, y: int, button: int):\\n pass\",\n \"def on_mouse_press(self, x, y, button, key_modifiers):\\r\\n pass\",\n \"def ev_mousebuttondown(self, event: tcod.event.MouseButtonDown) -> T | None:\",\n \"def _press(self, event):\",\n \"def ev_mousebuttonup(self, event: MouseButtonUp) -> None:\",\n \"def on_mouse_release(self, x, y, button):\\n pass\",\n \"def eventHandler(self, event: pygame.event):\\n # change selected color if this button's rectangle was clicked\\n if event.type == pygame.MOUSEBUTTONDOWN:\\n if event.button == 1:\\n if self.rect.collidepoint(event.pos): # is mouse over button\\n self.image = self._images[ButtonImages.CLICKING_IMAGE.value]\\n self.beingClicked = True\\n for func, *args in self.functionsToInvokeWhenClicked:\\n func(*args)\\n elif event.type == pygame.MOUSEBUTTONUP and self.beingClicked:\\n if event.button == 1:\\n self.beingClicked = False\\n self.image = self._images[ButtonImages.DEFAULT_IMAGE.value]\",\n \"def press(self):\\n self.clicked = True\\n if self.command:\\n self.command(self.name)\",\n \"def ev_mousebuttonup(self, event: tcod.event.MouseButtonUp) -> T | None:\",\n \"def bind(self):\\n self.canvas.bind(\\\"<ButtonPress-1>\\\", self.click)\",\n \"def on_mouse_release(self, x, y, button, key_modifiers):\\r\\n pass\",\n \"def emitPressEvent(self, clickLocation, button, currentKbKey, items):\\n # emit the mousePressEvent signal\\n self.mousePress.emit(self, clickLocation, button, currentKbKey, items)\",\n \"def on_mouse_up(self, pos, mouse_button):\\n for item in button.Button.all_buttons:\\n if item.collidepoint(pos):\\n self.buttons_clicked.append((item, mouse_button))\\n item.on_click(mouse_button)\",\n \"def HandlePress(self, event: tkEvent):\\n pass\",\n \"def HandButton(self, event):\\n pass\",\n \"def input(self, event: pygame.event) -> None:\\n if event.type == pygame.MOUSEBUTTONDOWN and event.button == 1:\\n self.user_clicked = True\",\n \"def button_press_cb(self, source, event):\\n\\n if event.button == MOUSE_BUTTON_RIGHT:\\n pass\\n return True\\n elif event.button == MOUSE_BUTTON_MIDDLE:\\n self.emit('begin-move')\\n return True\",\n \"def handle_mouse_click(self, button: Button) -> None:\\n if button.name == 'BACK':\\n self._clear_all_input()\\n self.current_page -= 1\\n self._focused_button = None\\n if self.current_page == len(self.pages) - 2:\\n self.current_page -= 1\\n elif button.name == 'Show Graph':\\n self._plot_graph()\\n elif button.name == 'Multiple Regression':\\n self._selection.handle_selection(self.current_page, button.name)\\n self.current_page += 2\\n self._update_ghg_coefs()\\n elif button.tag == 'normal' and self.current_page < len(self.pages) - 2:\\n self._selection.handle_selection(self.current_page, button.name)\\n self.current_page += 1\\n elif isinstance(button, InputButton):\\n self._focused_button = button\",\n \"def on_press(self):\\n self.pressed = True\",\n \"def on_press(self):\\n self.pressed = True\",\n \"def button_release_event(self, widget, event):\\n x, y = event.x, event.y\\n\\n # x, y = coordinates where the button was released\\n self.last_win_x, self.last_win_y = x, y\\n\\n button = 0\\n # prepare button mask as in button_press_event()\\n\\n data_x, data_y = self.check_cursor_location()\\n\\n return self.make_ui_callback('button-release', button, data_x, data_y)\",\n \"def mousePressEvent(self, mouse_event):\\r\\n return\",\n \"def __on_click(self, evt):\\n if evt.button() == Qt.LeftButton:\\n return self._on_left_click(evt)\\n if evt.button() == Qt.RightButton:\\n return self._on_right_click(evt)\",\n \"def _press(self, event):\\n # make the drawn box/line visible get the click-coordinates,\\n # button, ...\\n if self._interactive and self._selection_artist.get_visible():\\n self._set_active_handle(event)\\n else:\\n self._active_handle = None\\n\\n if ((self._active_handle is None or not self._interactive) and\\n self._allow_creation):\\n # Clear previous rectangle before drawing new rectangle.\\n self.update()\\n\\n if (self._active_handle is None and not self.ignore_event_outside and\\n self._allow_creation):\\n x = event.xdata\\n y = event.ydata\\n self._visible = False\\n self.extents = x, x, y, y\\n self._visible = True\\n else:\\n self.set_visible(True)\\n\\n self._extents_on_press = self.extents\\n self._rotation_on_press = self._rotation\\n self._set_aspect_ratio_correction()\\n\\n return False\",\n \"def button_press_cb(self, darea, event):\\n x, y = event.x, event.y\\n self.draw_pointer(self.cr, x, y)\\n self.queue_draw()\\n self.oldx, self.oldy = x, y\\n rel_x, rel_y = self.absolute_to_relative(x, y)\\n self.emit('dnd-value', rel_x, rel_y)\\n self.emit('start-dnd')\\n return True\",\n \"def m_press(self, button: MButton):\\n pass\",\n \"def ev_MOUSEDOWN(self, event):\",\n \"def on_key_press(self, event):\\n\\n #print(\\\"you pressed {}\\\".format(event.key))\\n key_press_handler(event, self.canvas, self.toolbar)\",\n \"def ev_MOUSEUP(self, event):\",\n \"def ev_mousebuttondown(self, event):\\n if self.engine.game_map.in_bounds(*event.tile):\\n if event.button == 1:\\n return self.on_index_selected(*event.tile)\\n return super().ev_mousebuttondown(event)\",\n \"def mouseReleaseEvent(self, event):\\n button = event.button()\\n\\n # select an item on which we clicked\\n item = self.itemAt(event.x(), event.y())\\n if item:\\n self.setCurrentItem(item)\\n if button == 1:\\n print \\\"SIMPLE LEFT CLICK\\\"\",\n \"def _on_button_press_event(self, widget, event):\\n if event.button == 3:\\n self.menu.popup(None, None, None, None, event.button, event.time)\\n self.menu.show_all()\",\n \"def _press(self, event):\\n self._set_cursor(True)\\n if self._interactive and self._selection_artist.get_visible():\\n self._set_active_handle(event)\\n else:\\n self._active_handle = None\\n\\n if self._active_handle is None or not self._interactive:\\n # Clear previous rectangle before drawing new rectangle.\\n self.update()\\n\\n v = event.xdata if self.direction == 'horizontal' else event.ydata\\n # self._pressv and self._prev are deprecated but we still need to\\n # maintain them\\n self._pressv = v\\n self._prev = self._get_data(event)\\n\\n if self._active_handle is None and not self.ignore_event_outside:\\n # when the press event outside the span, we initially set the\\n # visibility to False and extents to (v, v)\\n # update will be called when setting the extents\\n self._visible = False\\n self.extents = v, v\\n # We need to set the visibility back, so the span selector will be\\n # drawn when necessary (span width > 0)\\n self._visible = True\\n else:\\n self.set_visible(True)\\n\\n return False\",\n \"def mouse_click(self,x,y,button,double_click):\\n raise NotImplementedError(\\\"ERROR: Unimplemented function.\\\")\",\n \"def mouse_release_event(self, x: int, y: int, button: int):\\n pass\",\n \"def set_mouseclick_handler(self, mouse_handler):\\n STmouse.Mouse(self.canvas, '<Button-1>', mouse_handler)\",\n \"def OnButton(self, event):\\r\\n \\r\\n button = event.GetInt()\\r\\n\\r\\n if button == AUI_BUTTON_LEFT or button == AUI_BUTTON_RIGHT:\\r\\n if button == AUI_BUTTON_LEFT:\\r\\n if self.GetTabOffset() > 0:\\r\\n \\r\\n self.SetTabOffset(self.GetTabOffset()-1)\\r\\n self.Refresh()\\r\\n self.Update()\\r\\n else:\\r\\n self.SetTabOffset(self.GetTabOffset()+1)\\r\\n self.Refresh()\\r\\n self.Update()\\r\\n \\r\\n elif button == AUI_BUTTON_WINDOWLIST:\\r\\n idx = self.GetArtProvider().ShowDropDown(self, self._pages, self.GetActivePage())\\r\\n \\r\\n if idx != -1:\\r\\n \\r\\n e = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_PAGE_CHANGING, self.GetId())\\r\\n e.SetSelection(idx)\\r\\n e.SetOldSelection(self.GetActivePage())\\r\\n e.SetEventObject(self)\\r\\n self.GetEventHandler().ProcessEvent(e)\\r\\n \\r\\n else:\\r\\n event.Skip()\",\n \"def cb_something_4(self, button): \\n print(\\\"Do Something 4\\\")\",\n \"def handle_press( self, x, y ):\\n self.pressed_flag = True\\n self.first_point = (x, y)\",\n \"def _on_key_press(self, event):\",\n \"def on_pushButton_clicked(self):\\n # TODO: not implemented yet\\n raise NotImplementedError\",\n \"def on_pushButton_clicked(self):\\n # TODO: not implemented yet\\n raise NotImplementedError\",\n \"def clickedAction(self, events):\\n print(\\\"The {} button was clicked!\\\".format(self.imgname))\",\n \"def mousePressed(self, _evt, _id):\\n _widget = None\\n \\n if _id == ois.MB_Left:\\n _widget = self._mouseLeft\\n elif _id == ois.MB_Right:\\n _widget = self._mouseRight\\n elif _id == ois.MB_Middle:\\n _widget = self._mouseMiddle\\n \\n if _widget is not None:\\n self._addLinearAnimation(_widget, 1.0)\\n \\n return False\",\n \"def _on_pyglet_mouse_click(self, x, y, button, modifiers):\\n button_time = clock()\\n this_button = self._button_names[button]\\n self._mouse_buffer.append((this_button, x, y, button_time))\",\n \"def on_mouse_press(self, x, y, button, modifiers):\\n\\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\\n\\n if self.exclusive:\\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\\n else:\\n self.set_exclusive_mouse(True)\",\n \"def handle_mousedown(self, button, name):\\r\\n x = widget.Widget.handle_mousedown(self, button, name)\\r\\n if not self.mouse_on_me():\\r\\n return False\\r\\n if not self.get_visible():\\r\\n return False\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_mousedown(button, name):\\r\\n return True\\r\\n return x\",\n \"def _left_button_press_event(self, obj, event):\\n #print('area_picker - left_button_press_event')\\n self.OnLeftButtonDown()\\n pixel_x, pixel_y = self.parent.vtk_interactor.GetEventPosition()\\n self.picker_points.append((pixel_x, pixel_y))\",\n \"def OnButton(self, event):\\n button = event.GetEventObject().GetName()\\n if button == \\\"Button1\\\":\\n self.OnButton1()\\n elif button == \\\"Button2\\\":\\n self.OnButton2()\\n elif button == \\\"Button3\\\":\\n self.OnExit(event)\",\n \"def OnLeftUp_ClickButton(self, event):\\r\\n \\r\\n self._hover_button = None\\r\\n\\r\\n if self._action_part:\\r\\n self.RefreshButton(self._action_part)\\r\\n\\r\\n # make sure we're still over the item that was originally clicked\\r\\n if self._action_part == self.HitTest(*event.GetPosition()):\\r\\n \\r\\n # fire button-click event\\r\\n e = AuiManagerEvent(wxEVT_AUI_PANE_BUTTON)\\r\\n e.SetManager(self)\\r\\n e.SetPane(self._action_part.pane)\\r\\n e.SetButton(self._action_part.button.button_id)\\r\\n self.ProcessMgrEvent(e)\",\n \"def mousePressEvent(self, event):\\n #sw = self.spw.windows['Sort']\\n buttons = event.buttons()\\n if buttons == QtCore.Qt.MiddleButton:\\n #sw.on_actionSelectRandomSpikes_triggered()\\n #sw.spykewindow.plotButton.click() # same as hitting ENTER in nslist\\n self.selecting = True\\n self.setMouseTracking(True) # while selecting\\n self.selectPointsUnderCursor()\\n self.lastPressPos = QtCore.QPoint(event.pos())\\n self.lastPos = QtCore.QPoint(event.pos())\",\n \"def mousePressEvent(self, event): \\n if event.type() == qtc.QEvent.MouseButtonPress:\\n if event.button() == qtc.Qt.RightButton:\\n self.right_click_event()\\n\\n elif event.button() == qtc.Qt.LeftButton:\\n self.left_click_event(event)\\n self.mouseStartPosY = event.pos().y()\\n self.startValue = self.value()\",\n \"def mousePressEvent(self, event):\\n #sw = self.spw.windows['Sort']\\n buttons = event.buttons()\\n if buttons == QtCore.Qt.MiddleButton:\\n #sw.on_actionSelectRandomSpikes_triggered()\\n #sw.spykewindow.ui.plotButton.click() # same as hitting ENTER in nslist\\n self.selecting = True\\n self.setMouseTracking(True) # while selecting\\n self.selectPointsUnderCursor()\\n self.lastPressPos = QtCore.QPoint(event.pos())\\n self.lastPos = QtCore.QPoint(event.pos())\",\n \"def _left_button_release_event(self, obj, event):\\n #self.OnLeftButtonUp()\\n pixel_x, pixel_y = self.parent.vtk_interactor.GetEventPosition()\\n #selector = vtk.vtkVisibleCellSelector()\\n\\n self.picker_points.append((pixel_x, pixel_y))\\n\\n #print(self.picker_points)\\n if len(self.picker_points) == 2:\\n p1x, p1y = self.picker_points[0]\\n p2x, p2y = self.picker_points[1]\\n self.picker_points = []\\n xmin = min(p1x, p2x)\\n ymin = min(p1y, p2y)\\n xmax = max(p1x, p2x)\\n ymax = max(p1y, p2y)\\n #print(self.picker_points)\\n #print('_area_pick_left_button_release', cell_id)\\n\\n dx = abs(p1x - p2x)\\n dy = abs(p1y - p2y)\\n self.picker_points = []\\n if dx > 0 and dy > 0:\\n if self._pick_visible:\\n self._pick_visible_ids(xmin, ymin, xmax, ymax)\\n else:\\n self._pick_depth_ids(xmin, ymin, xmax, ymax)\\n self.parent.vtk_interactor.Render()\\n self.picker_points = []\",\n \"def handle_mousedown(self, button, name):\\r\\n if self.get_visible():\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_mousedown(button, name):\\r\\n return True\\r\\n return False\",\n \"def cb_something_1(self, button):\\n print(\\\"Do Something 1\\\")\",\n \"def signal_from_widget(self, event):\\n self.keyPressEvent(event)\",\n \"def OnLeftUp(self, event):\\r\\n\\r\\n self._on_button = False\\r\\n \\r\\n if self._is_dragging:\\r\\n\\r\\n if self.HasCapture():\\r\\n self.ReleaseMouse()\\r\\n \\r\\n self._is_dragging = False\\r\\n if self._drag_image:\\r\\n self._drag_image.EndDrag()\\r\\n del self._drag_image\\r\\n self._drag_image = None\\r\\n self.GetParent().Refresh()\\r\\n\\r\\n evt = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_END_DRAG, self.GetId())\\r\\n evt.SetSelection(self.GetIdxFromWindow(self._click_tab))\\r\\n evt.SetOldSelection(evt.GetSelection())\\r\\n evt.SetEventObject(self)\\r\\n self.GetEventHandler().ProcessEvent(evt)\\r\\n\\r\\n return\\r\\n\\r\\n if self.HasCapture():\\r\\n self.ReleaseMouse()\\r\\n \\r\\n if self._pressed_button:\\r\\n \\r\\n # make sure we're still clicking the button\\r\\n button = self.ButtonHitTest(event.GetX(), event.GetY())\\r\\n \\r\\n if button is None:\\r\\n return\\r\\n\\r\\n if button != self._pressed_button:\\r\\n self._pressed_button = None\\r\\n return\\r\\n \\r\\n self.Refresh()\\r\\n self.Update()\\r\\n\\r\\n if self._pressed_button.cur_state & AUI_BUTTON_STATE_DISABLED == 0:\\r\\n \\r\\n evt = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_BUTTON, self.GetId())\\r\\n evt.SetSelection(self.GetIdxFromWindow(self._click_tab))\\r\\n evt.SetInt(self._pressed_button.id)\\r\\n evt.SetEventObject(self)\\r\\n self.GetEventHandler().ProcessEvent(evt)\\r\\n \\r\\n self._pressed_button = None\\r\\n \\r\\n self._click_pt = wx.Point(-1, -1)\\r\\n self._is_dragging = False\\r\\n self._click_tab = None\",\n \"def click_button(self):\\n self.widgets.get('button').click()\",\n \"def mousePressEvent(self, event):\\n if event.buttons() == QtCore.Qt.LeftButton:\\n self.view_state.mouse = np.array([event.x(), event.y()])\",\n \"def on_toolButton_clicked(self):\\n # TODO: not implemented yet\\n raise NotImplementedError\",\n \"def button_release_cb(self, darea, event):\\n self.oldx, self.oldy = event.x, event.y\\n self.draw_pointer(self.cr, None, None)\\n self.queue_draw()\\n self.oldx, self.oldy = None, None\\n self.emit('end-dnd')\\n return True\",\n \"def __check_if_got_pressed(self):\\n mouse_x_pos,mouse_y_pos = pg.mouse.get_pos()\\n\\n if utilitiez.on_object(self.rect.x, self.rect.y, self.rect.width, self.rect.height, mouse_x_pos, mouse_y_pos,\\n MOUSE_WIDTH, MOUSE_HEIGHT):\\n self.__on_click()\",\n \"def _onscreenclick(self, fun, num=1, add=None):\\n if fun is None:\\n self.cv.unbind(\\\"<Button-%s>\\\" % num)\\n else:\\n def eventfun(event):\\n x, y = (self.cv.canvasx(event.x)/self.xscale,\\n -self.cv.canvasy(event.y)/self.yscale)\\n fun(x, y)\\n self.cv.bind(\\\"<Button-%s>\\\" % num, eventfun, add)\",\n \"def onMouseLeftDown(self, event):\\n # [NOTE] No need to call self.choice(). It is enough to call\\n # event.Skip() and the machine will be called self.OnButtonClick()\\n event.Skip()\",\n \"def _pressed(self, evt):\\n x, y, widget = evt.x, evt.y, evt.widget\\n item = widget.identify_row(y)\\n column = widget.identify_column(x)\\n\\n if not column or not item in self._items:\\n # clicked in the weekdays row or just outside the columns\\n return\\n\\n item_values = widget.item(item)['values']\\n if not len(item_values): # row is empty for this month\\n return\\n\\n text = item_values[int(column[1]) - 1]\\n if not text: # date is empty\\n return\\n\\n bbox = widget.bbox(item, column)\\n if not bbox: # calendar not visible yet\\n return\\n\\n # update and then show selection\\n text = '%02d' % text\\n self._selection = (text, item, column)\\n self._show_selection(text, bbox)\",\n \"def _on_key_release(self, event):\",\n \"def cb_something_3(self, button):\\n print(\\\"Do Something 3\\\")\",\n \"def _onrelease(self, item, fun, num=1, add=None):\\n if fun is None:\\n self.cv.tag_unbind(item, \\\"<Button%s-ButtonRelease>\\\" % num)\\n else:\\n def eventfun(event):\\n x, y = (self.cv.canvasx(event.x)/self.xscale,\\n -self.cv.canvasy(event.y)/self.yscale)\\n fun(x, y)\\n self.cv.tag_bind(item, \\\"<Button%s-ButtonRelease>\\\" % num,\\n eventfun, add)\",\n \"def get_event(self, event):\\n if event.type == pg.MOUSEBUTTONDOWN and event.button == 1:\\n if self.rect.collidepoint(event.pos):\\n self.toggle()\",\n \"def _click(self):\\n if hasattr(self.canvas[\\\"items\\\"][self.index], 'commandFunc'):\\n self.canvas[\\\"items\\\"][self.index].commandFunc(None)\",\n \"def click(self):\\r\\n pass\",\n \"def on_mouse_press(self, x, y, button, modifiers):\\n self.add_wall()\",\n \"def was_pressed(self) -> bool:\",\n \"def click(self, x, y, button, press):\\n\\n if self.is_in_screen(x, y) and not self.pause:\\n self.get_color(x, y)\\n self.record(x, y, button, press)\",\n \"def on_mouse_click(self, event):\\n if not self.is_game_over:\\n try:\\n # i, j coordinates of the click event\\n i = int(round(event.ydata))\\n j = int(round(event.xdata))\\n\\n # Left button\\n if event.button == 1 or event.button == 2:\\n self.reveal(i, j)\\n\\n # Right button\\n elif event.button == 3:\\n self.flag(i, j)\\n\\n except (TypeError, IndexError):\\n pass\",\n \"def pushButtonClicked(self, but_id, button):\\n self.ui.tv_bindings.clearSelection()\\n lstMatch = self.ui.tv_bindings.findItems(but_id, QtCore.Qt.MatchExactly, 0)[0]\\n lstMatch.setSelected(True)\\n lstMatch.setText(1, '[Press a key]')\\n button.installEventFilter(self)\\n self.efButton = button # Not elegant, but.... works\",\n \"def mouseDragged():\\n if mousePressed:\\n mousePressed()\",\n \"def mousePressEvent(self, event):\\n self._use_zinc_mouse_event_handling = False # Track when zinc should be handling mouse events\\n if self._ignore_mouse_events:\\n event.ignore()\\n return\\n\\n event.accept()\\n if event.button() not in button_map:\\n return\\n \\n self._selection_position_start = (event.x(), event.y())\\n\\n if button_map[event.button()] == Sceneviewerinput.BUTTON_TYPE_LEFT\\\\\\n and self._selectionKeyPressed and (self._nodeSelectMode or self._elemSelectMode):\\n self._selection_mode = SelectionMode.EXCLUSIVE\\n if event.modifiers() & QtCore.Qt.SHIFT:\\n self._selection_mode = SelectionMode.ADDITIVE\\n else:\\n scene_input = self._sceneviewer.createSceneviewerinput()\\n scene_input.setPosition(event.x(), event.y())\\n scene_input.setEventType(Sceneviewerinput.EVENT_TYPE_BUTTON_PRESS)\\n scene_input.setButtonType(button_map[event.button()])\\n scene_input.setModifierFlags(modifier_map(event.modifiers()))\\n self._sceneviewer.processSceneviewerinput(scene_input)\\n self._use_zinc_mouse_event_handling = True\",\n \"def on_click(self, event_callable, ret_widget_values=None, block_signal=False):\\n #TODO Implementation of ret_widget_values\\n #TODO Implementation of block_signal?? or removal\\n self.on_click_callable = event_callable\\n self._raw_toolbar.onClick(\\n self.on_click_return,\\n ret_widget_values=ret_widget_values,\\n block_signal=block_signal\\n )\",\n \"def on_mouse_press(self, x, y, button, modifiers):\\n \\n menu: Menu = self.get_menu_for_display()\\n\\n menu_click_x, menu_click_y = self.get_menu_click(menu, x, y)\\n\\n if button == arcade.MOUSE_BUTTON_LEFT:\\n if menu:\\n menu.button_list.check_mouse_press_for_buttons(\\n menu_click_x,\\n menu_click_y,\\n )\",\n \"def LeftClick(self):\\n self._PressLeftButton()\\n self._ReleaseAllButtons()\",\n \"def leftButtonDown(self):\\n\\t\\tautopy.mouse.toggle(True,autopy.mouse.LEFT_BUTTON)\",\n \"def HandleKeyboardInput(self):\\n key = yg.getKeyPress()\\n if key == \\\"Return\\\":\\n self.buttons[len(self.buttons) - 1].Click()\",\n \"def on_click(self, x, y):\\n self.menu_pointer.on_click(x, y)\",\n \"def mousePressEvent(self, event): \\n if event.type() == qtc.QEvent.MouseButtonPress:\\n if event.button() == qtc.Qt.LeftButton:\\n self.mouseStartPosY = event.pos().y()\\n self.startValue = self.value()\\n\\n elif event.button() == qtc.Qt.MidButton:\\n self.set_value_to_default()\",\n \"def button_press_event(self, widget, event, menu):\\n\\t\\tif event.type == gtk.gdk.BUTTON_PRESS and event.button == 3:\\n\\t\\t\\tmenu.popup(None, None, None, event.button, event.time)\\n\\t\\treturn False\",\n \"def set_events(self):\\r\\n\\r\\n self.canvas.bind(\\\"<Button-1>\\\", self.event_click_left)\\r\\n self.bind(\\\"<Return>\\\", self.event_return)\",\n \"def when_pressed(self, button, func, *args):\\n\\n self.hardware_interfaces[self._gpio].set_pin_event(self._b_names[button],\\n func,\\n *args)\",\n \"def handle_button(self, event, event_type):\\n # 0 for left\\n # 1 for right\\n # 2 for middle/center\\n # 3 for side\\n mouse_button_number = self._get_mouse_button_number(event)\\n\\n # Identify buttons 3,4,5\\n if event_type in (25, 26):\\n event_type = event_type + (mouse_button_number * 0.1)\\n\\n # Add buttons to events\\n event_type_string, event_code, value, scan = self.codes[event_type]\\n if event_type_string == \\\"Key\\\":\\n scan_event, key_event = self.emulate_press(\\n event_code, scan, value, self.timeval)\\n self.events.append(scan_event)\\n self.events.append(key_event)\\n\\n # doubleclick/n-click of button\\n click_state = self._get_click_state(event)\\n\\n repeat = self.emulate_repeat(click_state, self.timeval)\\n self.events.append(repeat)\",\n \"def onButtonPress(self, event):\\n\\n if event.xdata and event.ydata:\\n self.emit(QtCore.SIGNAL(\\\"positionSelected(float, float)\\\"),\\n float(event.xdata), float(event.ydata))\",\n \"def mousePressEvent(self, ev):\\n super(PlotObject, self).mousePressEvent(ev)\\n self._downpos = self.mousePos\",\n \"def check_event(self, event):\\r\\n if event.type == pygame.MOUSEBUTTONDOWN:\\r\\n if self.selected:\\r\\n for item in self.buttons:\\r\\n item.handleMouseDown(event.pos[0], event.pos[1])\\r\\n else:\\r\\n self.tab.handleMouseDown(event.pos[0], event.pos[1])\",\n \"def handle_mouseup(self, button, name):\\r\\n if self.get_visible():\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_mouseup(button, name):\\r\\n return True\\r\\n return False\",\n \"def on_click(self, x, y):\\n mul_x, mul_y = self.multiplier\\n off_x, off_y = self.offset\\n x -= off_x\\n x /= mul_x\\n y -= off_y\\n y /= mul_y\\n for button in self.button_dict.values():\\n button.check_click(x, y)\",\n \"def get_pressed(self): \\n raise NotImplementedError\",\n \"def pressed(self) -> bool:\\n return self.type == \\\"JOYBUTTONDOWN\\\"\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8186688","0.7803107","0.7685904","0.7667033","0.7550329","0.75264764","0.74540734","0.74537903","0.7434162","0.71306","0.71141076","0.7086629","0.70717835","0.70475805","0.70216006","0.70136315","0.69730556","0.69179136","0.69159424","0.69106615","0.69092005","0.69086593","0.69086593","0.6883387","0.6881508","0.687479","0.68471086","0.6836545","0.6808178","0.67737955","0.67535317","0.6742284","0.6738339","0.6737025","0.6701703","0.6678614","0.66766125","0.6574762","0.65687996","0.65682995","0.6563857","0.6554848","0.65425086","0.6528905","0.6528905","0.6512811","0.65086156","0.6495434","0.64905447","0.6487096","0.64787346","0.64631367","0.6460059","0.6455883","0.6452478","0.644119","0.6429059","0.6428801","0.64114636","0.6406296","0.63963807","0.6394005","0.63830185","0.6379297","0.63791144","0.63778967","0.6376003","0.6373461","0.63720185","0.6364364","0.6363386","0.6356046","0.634816","0.6344864","0.63408995","0.63391787","0.63276494","0.6326992","0.6322749","0.631902","0.6310714","0.6308334","0.6304208","0.62975895","0.62935483","0.62914467","0.6287971","0.6283372","0.6277994","0.6276328","0.62707454","0.6270045","0.6268654","0.6268415","0.62662643","0.62619746","0.62611157","0.6258642","0.6252097","0.62520045"],"string":"[\n \"0.8186688\",\n \"0.7803107\",\n \"0.7685904\",\n \"0.7667033\",\n \"0.7550329\",\n \"0.75264764\",\n \"0.74540734\",\n \"0.74537903\",\n \"0.7434162\",\n \"0.71306\",\n \"0.71141076\",\n \"0.7086629\",\n \"0.70717835\",\n \"0.70475805\",\n \"0.70216006\",\n \"0.70136315\",\n \"0.69730556\",\n \"0.69179136\",\n \"0.69159424\",\n \"0.69106615\",\n \"0.69092005\",\n \"0.69086593\",\n \"0.69086593\",\n \"0.6883387\",\n \"0.6881508\",\n \"0.687479\",\n \"0.68471086\",\n \"0.6836545\",\n \"0.6808178\",\n \"0.67737955\",\n \"0.67535317\",\n \"0.6742284\",\n \"0.6738339\",\n \"0.6737025\",\n \"0.6701703\",\n \"0.6678614\",\n \"0.66766125\",\n \"0.6574762\",\n \"0.65687996\",\n \"0.65682995\",\n \"0.6563857\",\n \"0.6554848\",\n \"0.65425086\",\n \"0.6528905\",\n \"0.6528905\",\n \"0.6512811\",\n \"0.65086156\",\n \"0.6495434\",\n \"0.64905447\",\n \"0.6487096\",\n \"0.64787346\",\n \"0.64631367\",\n \"0.6460059\",\n \"0.6455883\",\n \"0.6452478\",\n \"0.644119\",\n \"0.6429059\",\n \"0.6428801\",\n \"0.64114636\",\n \"0.6406296\",\n \"0.63963807\",\n \"0.6394005\",\n \"0.63830185\",\n \"0.6379297\",\n \"0.63791144\",\n \"0.63778967\",\n \"0.6376003\",\n \"0.6373461\",\n \"0.63720185\",\n \"0.6364364\",\n \"0.6363386\",\n \"0.6356046\",\n \"0.634816\",\n \"0.6344864\",\n \"0.63408995\",\n \"0.63391787\",\n \"0.63276494\",\n \"0.6326992\",\n \"0.6322749\",\n \"0.631902\",\n \"0.6310714\",\n \"0.6308334\",\n \"0.6304208\",\n \"0.62975895\",\n \"0.62935483\",\n \"0.62914467\",\n \"0.6287971\",\n \"0.6283372\",\n \"0.6277994\",\n \"0.6276328\",\n \"0.62707454\",\n \"0.6270045\",\n \"0.6268654\",\n \"0.6268415\",\n \"0.62662643\",\n \"0.62619746\",\n \"0.62611157\",\n \"0.6258642\",\n \"0.6252097\",\n \"0.62520045\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.786055"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":1491,"cells":{"query":{"kind":"string","value":"Called when a mouse button is released after being pressed. Adjust method signature as appropriate for callback."},"document":{"kind":"string","value":"def button_release_event(self, widget, event):\n x, y = event.x, event.y\n\n # x, y = coordinates where the button was released\n self.last_win_x, self.last_win_y = x, y\n\n button = 0\n # prepare button mask as in button_press_event()\n\n data_x, data_y = self.check_cursor_location()\n\n return self.make_ui_callback('button-release', button, data_x, data_y)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def mouse_release_event(self, x: int, y: int, button: int):\n pass","def on_mouse_release(self, x, y, button):\n pass","def on_mouse_release(self, x, y, button, key_modifiers):\r\n pass","def OnMouseUp(self, evt):\n self.ReleaseMouse()","def emitReleaseEvent(self, clickLocation, button, currentKbKey, items):\n # emit the mouseReleaseEvent signal\n self.mouseRelease.emit(self, clickLocation, button, currentKbKey, items)","def ev_mousebuttonup(self, event: MouseButtonUp) -> None:","def on_release(self):\n self.pressed = False","def on_release(self):\n self.pressed = False","def button_release(self, event: Any) -> None:\n if event.button == 1:\n self.left_button_down = False\n if event.button == 2:\n self.middle_button_down = False\n if event.button == 3:\n self.right_button_down = False","def release():\n gui.mouseUp()","def ev_mousebuttonup(self, event: tcod.event.MouseButtonUp) -> T | None:","def mouse_release(self):\n\n # play button press\n if self.play_button.is_active:\n # change to gameplay\n self.switch_context(game.GameContext)","def ev_mousebuttondown(self, event: MouseButtonDown) -> None:","def release(button='left', coords=(0, 0)):\n _perform_click_input(button=button, coords=coords, button_down=False, button_up=True)","def _release(self, event):","def HandleRelease(self, event: tkEvent):\n pass","def button_release_cb(self, darea, event):\n self.oldx, self.oldy = event.x, event.y\n self.draw_pointer(self.cr, None, None)\n self.queue_draw()\n self.oldx, self.oldy = None, None\n self.emit('end-dnd')\n return True","def ev_mousebuttondown(self, event: tcod.event.MouseButtonDown) -> T | None:","def m_release(self, button: MButton):\n pass","def releaseKeyButtons(self):\n self._myKey.removeKeyButtonEvent([\n CONFIG_KEY.BUTTON_ACT_A,\n CONFIG_KEY.BUTTON_ACT_B,\n CONFIG_KEY.BUTTON_JOY_UP,\n CONFIG_KEY.BUTTON_JOY_DOWN,\n CONFIG_KEY.BUTTON_JOY_LEFT,\n CONFIG_KEY.BUTTON_JOY_RIGHT,\n CONFIG_KEY.BUTTON_JOY_OK\n ])","def key_release_event(self, event):\n pass","def mouseReleaseEvent(self, event):\n super(QIntSpinner3DS, self).mousePressEvent(event)\n super(QIntSpinner3DS, self).mouseReleaseEvent(event)\n self.unsetCursor()","def _on_key_release(self, event):","def _onrelease(self, item, fun, num=1, add=None):\n if fun is None:\n self.cv.tag_unbind(item, \"<Button%s-ButtonRelease>\" % num)\n else:\n def eventfun(event):\n x, y = (self.cv.canvasx(event.x)/self.xscale,\n -self.cv.canvasy(event.y)/self.yscale)\n fun(x, y)\n self.cv.tag_bind(item, \"<Button%s-ButtonRelease>\" % num,\n eventfun, add)","def on_mouse_release(self, x, y, button, modifiers):\n \n menu: Menu = self.get_menu_for_display()\n\n menu_click_x, menu_click_y = self.get_menu_click(menu, x, y)\n\n if button == arcade.MOUSE_BUTTON_LEFT:\n if menu:\n menu.button_list.check_mouse_release_for_buttons(\n menu_click_x,\n menu_click_y,\n )","def unpress(self):\n if self.unclick:\n self.clicked = False","def on_mouse_press(self, x, y, button):\n\n pass","def mouseReleaseEventEnabled(self, ev):\n\n self._btns.remove(ev.button())","def __mouse_release(self, event, right_click=False):\n global choose_rectangle\n if right_click:\n return\n if choose_rectangle:\n self.__finish_rectangle(event)","def _OnMplMouseRelease( self, ev ):\n if ev.button == 3:\n ev.guiEvent.Skip()","def mouseReleaseEvent(self, event):\n # super(PlotWidget, self).mouseReleaseEvent(event)\n event.accept()","def _release(self, event):\n self._set_cursor(False)\n # self._pressv is deprecated but we still need to maintain it\n self._pressv = None\n\n if not self._interactive:\n self._selection_artist.set_visible(False)\n\n if (self._active_handle is None and self._selection_completed and\n self.ignore_event_outside):\n return\n\n vmin, vmax = self.extents\n span = vmax - vmin\n\n if span <= self.minspan:\n # Remove span and set self._selection_completed = False\n self.set_visible(False)\n if self._selection_completed:\n # Call onselect, only when the span is already existing\n self.onselect(vmin, vmax)\n self._selection_completed = False\n else:\n self.onselect(vmin, vmax)\n self._selection_completed = True\n\n self.update()\n\n self._active_handle = None\n\n return False","def mouseReleased():\n if not game_controller.game_over:\n if game_controller.falling_disk and \\\n game_controller.falling_disk.y_vel == 0:\n game_controller.handle_mouseReleased()","def keyReleaseEvent(self, event):\n self.game_engine.input_manager.keyReleaseEvent(event)","def handle_mouse_press(self, event):","def on_mouse_release(self, x: float, y: float, button: int, modifiers: int):\n if self.heldLetter is not None:\n self.active_blocks.remove(self.heldLetter)\n self.moving_blocks.append(self.heldLetter)\n if len(arcade.get_sprites_at_point((x, y), self.inactive_blocks)) == 0 and x < BOARD_WIDTH:\n letter_x, letter_y = self.nearest_cell(x, y)\n self.heldLetter.place(letter_x, letter_y)\n self.board_temp[int((letter_x-SLOT_WIDTH/2)/SLOT_WIDTH)][int((letter_y - SLOT_HEIGHT/2)/SLOT_HEIGHT)] = self.heldLetter\n else:\n self.heldLetter.return_home()\n self.heldLetter = None","def OnTokenButtonRelease(self, event):\n self._drag_data = {\"x\": 0, \"item\": None}\n\n # Rebind the main GUI buttons because they are unbinded while dragging the beats\n self.myMainGUI.root.after(200, self.myMainGUI.bindButtons)","def mouseReleaseEvent(self, event):\n button = event.button()\n\n # select an item on which we clicked\n item = self.itemAt(event.x(), event.y())\n if item:\n self.setCurrentItem(item)\n if button == 1:\n print \"SIMPLE LEFT CLICK\"","def mouse_press_event(self, x: int, y: int, button: int):\n pass","def on_mouse_up(self, pos, mouse_button):\n for item in button.Button.all_buttons:\n if item.collidepoint(pos):\n self.buttons_clicked.append((item, mouse_button))\n item.on_click(mouse_button)","def keyReleaseEvent (self, event):\n super(DiagramScene, self).keyReleaseEvent(event)","def isButtonReleased() -> bool:\n pass","def ev_joybuttondown(self, event: tcod.event.JoystickButton) -> T | None:","def on_mouse_press(self, x, y, button, key_modifiers):\r\n pass","def check_mouse_release_for_buttons(x: float, y: float, button_list: list):\n for button in button_list:\n if button.pressed:\n #sets button pressed to false\n button.on_release()","def on_mouse_release(self, x: float, y: float, button, modifiers):\n #dialogue buttons\n check_mouse_release_for_buttons(x, y, self.levels[self.current_level].dialogue_list)\n\n #room info prompt buttons\n check_mouse_release_for_buttons(x, y, self.levels[self.current_level].room_info_list)","def mouseReleaseEvent(self, ev):\n\n # handle the built mouse events first\n\n # panning...\n if self.panning and (ev.button() == Qt.LeftButton):\n # we're done panning\n self.leftBtnClicked = False\n self.setCursor(Qt.OpenHandCursor)\n self.lastPanPoint = QPoint()\n\n # \"auto\" rubber banding...\n elif self.rubberBandKey and self.rubberBanding:\n\n # end the rubber band selection\n rubberBandRect = self.endRubberBand().toRect()\n\n # check if the user selected anything\n if (rubberBandRect):\n items = self.items(rubberBandRect)\n\n # filter the selected items\n items = self.filterSelectedItems(items)\n\n # If we're handling selections deal with the selection states of our marks\n if self.doSelections:\n\n for item in self.selectedItems:\n item.setSelected(False)\n for item in items:\n item.setSelected(True)\n self.selectedItems = items\n\n # call the emit method - we don't directly emit here in case a child class\n # wants to transform the data before emitting it.\n self.emitRubberbandSelection(rubberBandRect, items)\n\n else:\n # This event isn't handled by automatically - emit a release event\n clickLocation = self.mapToScene(ev.pos())\n\n # do a \"sloppy selection\" and return all items that intersect our\n # selection rectangle. The selection rectangle is set by calling\n # the setSelectionRadius method.\n\n # move our selection rectangle into place - depending on the size of\n # the selection area, this may not be centered on the click location\n areaLoc = ev.pos() - self.selectionRadius\n self.selectionArea.moveTo(areaLoc)\n\n # check if the user clicked on anything - this will return a list of\n # items that intersect the selection rectangle.\n items = self.items(self.selectionArea)\n\n # filter the selection so we only return marks or text not associated\n # with a mark.\n items = self.filterSelectedItems(items)\n\n # call the emit method - we don't directly emit here in case a child class\n # wants to transform the data before emitting it.\n self.emitReleaseEvent(clickLocation, ev.button(), self.currentKbKey, items)","def _ReleaseAllButtons(self):\n self._kit.MouseReleaseAllButtons()\n time.sleep(self.send_delay)","def ev_MOUSEUP(self, event):","def check_mouse_release_for_buttons(_x, _y, button_list):\n for button in button_list:\n if button.pressed:\n button.on_release()","def mouseDragged():\n if mousePressed:\n mousePressed()","def mouseReleaseEvent(self, event):\n if event.button() is not QtCore.Qt.MouseButton.LeftButton:\n return False\n if self.mousenode is not None:\n self.remove_mousenode(event)\n return QtGui.QGraphicsScene.mouseReleaseEvent(self, event)","def mouse_out(self):\n pass","def button_press_event(self, widget, event):\n x, y = event.x, event.y\n\n # x, y = coordinates where the button was pressed\n self.last_win_x, self.last_win_y = x, y\n\n button = 0\n # Prepare a button mask with bits set as follows:\n # left button: 0x1\n # middle button: 0x2\n # right button: 0x4\n # Others can be added as appropriate\n self.logger.debug(\"button down event at %dx%d, button=%x\" % (x, y, button))\n\n data_x, data_y = self.check_cursor_location()\n\n return self.make_ui_callback('button-press', button, data_x, data_y)","def on_release(self, keyname):\n self.keydown = False\n keyname = str(keyname).strip('\\'')\n log.info('KEY RELEASE ' + keyname)\n if keyname in self.controls_keyrelease:\n key_handler = self.controls_keyrelease[keyname]()","def rightButtonUp(self):\n\t\tautopy.mouse.toggle(False,autopy.mouse.RIGHT_BUTTON)","def mouseReleased(self, _evt, _id):\n if not self.is_enabled: return False\n \n self.mouse_icon.mouseReleased(_evt, _id)\n return False","def exit_on_click(self):\n self.get_mouse()\n self._close()","def on_key_release(self, key_released: int, _: int) -> None:\n if key_released in (key.LEFT, key.RIGHT, key.A, key.D):\n self.change_x = 0\n self.direction = None","def handle_mousehold(self, button, name):\r\n if widget.Widget.handle_mousehold(self, button, name):\r\n app.App.handle_mousehold(self, button, name)\r\n return True\r\n return False","def keyReleaseEvent(self, ev):\n self.currentKbKey = None\n\n if (ev.key() == self.panKey):\n # disable Pan/Zoom mode\n self.panning = False\n if self.__pointerLeftWidget:\n # we've left the widget - reset the cursor to the standard arrow\n self.setCursor(Qt.ArrowCursor)\n else:\n self.setCursor(self.defaultCursor)\n elif (ev.key() == self.selectAddKey):\n # disable selection add mode\n if self.__pointerLeftWidget:\n # we've left the widget - reset the cursor to the standard arrow\n self.setCursor(Qt.ArrowCursor)\n else:\n self.setCursor(self.defaultCursor)\n elif (ev.key() == self.zoomKey):\n # disable zoom mode\n self.__zooming = False\n else:\n self.keyRelease.emit(self, ev)","def handle_release(self, x, y):\n # append new line to list of lines\n self.lines.append( (self.first_point, (x, y)) )\n\n # clear mouse pressed flag and rubber band line coords\n self.pressed_flag = False\n self.first_point = None\n self.last_point = None\n\n # trigger canvas to redraw itself\n self.redraw()","def onRelease(event):\r\n global initPos\r\n initPos = None # Reset the position ready for next click\r","def _release(self, event):\n # Release active tool handle.\n if self._active_handle_idx >= 0:\n if event.button == 3:\n self._remove_vertex(self._active_handle_idx)\n self._draw_polygon()\n self._active_handle_idx = -1\n\n # Complete the polygon.\n elif len(self._xys) > 3 and self._xys[-1] == self._xys[0]:\n self._selection_completed = True\n if self._draw_box and self._box is None:\n self._add_box()\n\n # Place new vertex.\n elif (not self._selection_completed\n and 'move_all' not in self._state\n and 'move_vertex' not in self._state):\n self._xys.insert(-1, (event.xdata, event.ydata))\n\n if self._selection_completed:\n self.onselect(self.verts)","def mouseReleaseEvent( self, event ):\n event.setAccepted(False)\n if self._hotspotPressed:\n event.accept()\n self._hotspotPressed = False\n return\n \n # ignore events when the scene is in view mode\n scene = self.scene()\n if ( self.isLocked() or self._ignoreMouseEvents or \\\n (scene and (scene.inViewMode() or scene.isConnecting()))):\n event.ignore()\n self._ignoreMouseEvents = False\n return\n \n super(XNode, self).mouseReleaseEvent(event)\n \n # emit the geometry changed signal\n self.emitGeometryChanged()\n \n # unblock the selection signals\n if ( scene ):\n scene.blockSelectionSignals(False)\n \n delta = datetime.datetime.now() - self._pressTime\n if not scene.signalsBlocked() and delta.seconds < 1:\n scene.nodeClicked.emit(self)","def on_canvas_mouse_release(self, event) -> None:\r\n\r\n self.edit_toggle_mode = None","def _press(self, event):","def key_release_event(self, widget, event):\n # get keyname or keycode and translate to ginga standard\n # keyname =\n # keycode =\n keyname = '' # self.transkey(keyname, keycode)\n self.logger.debug(\"key release event, key=%s\" % (keyname))\n return self.make_ui_callback('key-release', keyname)","def ev_joybuttonup(self, event: tcod.event.JoystickButton) -> T | None:","def triangleBtnHandler(val):\n if val == 1 :\n print(\"Triangle button pressed\")\n else:\n print(\"Triangle button released\")","def on_key_release(self, symbol, modifiers):\n self.gamestatemanager.peek().on_key_release(symbol, modifiers, self.config_data[\"controls\"])","def down(self, event):\n self.dragx = event.x\n self.dragy = event.y\n self.canvas.bind(\"<B1-Motion>\", self.motion)\n self.canvas.bind(\"<ButtonRelease-1>\", self.up)\n return True","def on_key_release(self, key, modifiers):\n pass # stop animation","def on_key_release(self, key, modifiers):\n player_controller.input_release(key, self.player)","def handle_mouseup(self, button, name):\r\n x = widget.Widget.handle_mouseup(self, button, name)\r\n if not self.mouse_on_me():\r\n return False\r\n if not self.get_visible():\r\n return False\r\n for i in self.widgets:\r\n if i.get_visible():\r\n if i.handle_mouseup(button, name):\r\n return True\r\n return x","def button_handler(self, channel):\n if channel != self.BUTTON_PIN:\n return\n\n state = GPIO.input(self.BUTTON_PIN)\n now = time.time()\n delta = now - self.prev_button_state[1]\n\n if self.prev_button_state[0] != state:\n self.prev_button_state = (state, now)\n\n if state == GPIO.HIGH:\n self.button_hold = None\n\n # debounce the button tap and trigger action\n if delta > self.TAP_TIME and self.button_tap is None:\n self.button_tap = True\n os.kill(os.getpid(), signal.SIGALRM)\n else:\n self.button_tap = None\n\n # schedule a hold check\n signal.alarm(int(self.HOLD_TIME))\n\n elif state == GPIO.LOW:\n if delta >= self.HOLD_TIME and self.button_hold is None:\n self.button_hold = True\n self.button_tap = False","def on_press(self):\n self.pressed = True","def on_press(self):\n self.pressed = True","def delete_button_callback(self, button):\n\t\tRPIO.del_interrupt_callback(button)","def mouseReleaseEvent(self, event):\n self.box_begin = self.begin\n self.box_end = event.pos()\n self.begin = event.pos()\n self.end = event.pos()\n if not self.permanent_show:\n self.update()","def debounced_key_release(event):\n # print('Debounced release', repr(event.key))\n key_indicator.set_text('')\n fig.canvas.draw()","def leftButtonUp(self):\n\t\tautopy.mouse.toggle(False,autopy.mouse.LEFT_BUTTON)","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP:\n self.up_pressed = False\n elif key == arcade.key.DOWN:\n self.down_pressed = False\n elif key == arcade.key.LEFT:\n self.left_pressed = False\n elif key == arcade.key.RIGHT:\n self.right_pressed = False","def on_key_release(self, key, modifiers):\n\n if key == arcade.key.UP:\n self.up_pressed = False\n elif key == arcade.key.DOWN:\n self.down_pressed = False\n elif key == arcade.key.LEFT:\n self.left_pressed = False\n elif key == arcade.key.RIGHT:\n self.right_pressed = False","def mouse_right_up(self):\n pass","def ev_MOUSEDOWN(self, event):","def HandButton(self, event):\n pass","def up(self, event):\n event.widget.unbind (\"<B1-Motion>\")\n event.widget.unbind (\"<ButtonRelease-1>\")\n self.diag.update_arrows()","def ev_controllerbuttondown(self, event: tcod.event.ControllerButton) -> T | None:","def on_release(self, released_key ):\n if released_key is not None:\n if isinstance(released_key, pynput.keyboard.KeyCode) and released_key.char is not None:\n released_key = released_key.char.lower()\n elif isinstance(released_key, pynput.keyboard.Key):\n released_key = released_key.name\n self.keys_set.discard(released_key)","def on_release(self, event):\n self.current_point = None","def eventHandler(self, event: pygame.event):\n # change selected color if this button's rectangle was clicked\n if event.type == pygame.MOUSEBUTTONDOWN:\n if event.button == 1:\n if self.rect.collidepoint(event.pos): # is mouse over button\n self.image = self._images[ButtonImages.CLICKING_IMAGE.value]\n self.beingClicked = True\n for func, *args in self.functionsToInvokeWhenClicked:\n func(*args)\n elif event.type == pygame.MOUSEBUTTONUP and self.beingClicked:\n if event.button == 1:\n self.beingClicked = False\n self.image = self._images[ButtonImages.DEFAULT_IMAGE.value]","def exit_btn_callback(evt):\n print(\"Inside exit_btn_callback. Event object is: \", evt)\n mainwin.destroy()","def _callbackKeyButton(self, channel):\n if self._myKey.readKeyButton(channel) == 0:\n self.onKeyButtonDown(channel)\n return\n\n if self._myKey.readKeyButton(channel) == 1:\n self.onKeyButtonUp(channel)\n return","def on_key_up(self, keyboard, keycode):\n Logger.debug('KeyUp Event: Keycode[1] is \"{}\"'.format(keycode[1]))\n self.keysPressed.remove(keycode[1])","def check_mouse_release_for_buttons(x, y, button_list):\n for button in button_list:\n if x > button.center_x + button.width / 2:\n continue\n if x < button.center_x - button.width / 2:\n continue\n if y > button.center_y + button.height / 2:\n continue\n if y < button.center_y - button.height / 2:\n continue\n button.on_release()","def mouseReleaseEvent(self, event: QMouseEvent):\n self._moving = False\n self.rectChanged.emit(self._rect)\n super().mouseReleaseEvent(event)","def key_handler(self, event):\n if event.type == pygame.KEYUP: \n self.done = True","def handle_keyrelease(self, event):\r\n if event.keysym == \"BackSpace\":\r\n self.delete(self.index(tkinter.INSERT), tkinter.END)\r\n self.position = self.index(tkinter.END)\r\n if event.keysym == \"Left\":\r\n if self.position < self.index(tkinter.END): # delete the selection\r\n self.delete(self.position, tkinter.END)\r\n else:\r\n self.position = self.position-1 # delete one character\r\n self.delete(self.position, tkinter.END)\r\n if event.keysym == \"Right\":\r\n self.position = self.index(tkinter.END) # go to end (no selection)\r\n if len(event.keysym) == 1:\r\n self.autocomplete()\r\n # No need for up/down, we'll jump to the popup\r\n # list at the position of the autocompletion\r","def button_press_cb(self, source, event):\n\n if event.button == MOUSE_BUTTON_RIGHT:\n pass\n return True\n elif event.button == MOUSE_BUTTON_MIDDLE:\n self.emit('begin-move')\n return True"],"string":"[\n \"def mouse_release_event(self, x: int, y: int, button: int):\\n pass\",\n \"def on_mouse_release(self, x, y, button):\\n pass\",\n \"def on_mouse_release(self, x, y, button, key_modifiers):\\r\\n pass\",\n \"def OnMouseUp(self, evt):\\n self.ReleaseMouse()\",\n \"def emitReleaseEvent(self, clickLocation, button, currentKbKey, items):\\n # emit the mouseReleaseEvent signal\\n self.mouseRelease.emit(self, clickLocation, button, currentKbKey, items)\",\n \"def ev_mousebuttonup(self, event: MouseButtonUp) -> None:\",\n \"def on_release(self):\\n self.pressed = False\",\n \"def on_release(self):\\n self.pressed = False\",\n \"def button_release(self, event: Any) -> None:\\n if event.button == 1:\\n self.left_button_down = False\\n if event.button == 2:\\n self.middle_button_down = False\\n if event.button == 3:\\n self.right_button_down = False\",\n \"def release():\\n gui.mouseUp()\",\n \"def ev_mousebuttonup(self, event: tcod.event.MouseButtonUp) -> T | None:\",\n \"def mouse_release(self):\\n\\n # play button press\\n if self.play_button.is_active:\\n # change to gameplay\\n self.switch_context(game.GameContext)\",\n \"def ev_mousebuttondown(self, event: MouseButtonDown) -> None:\",\n \"def release(button='left', coords=(0, 0)):\\n _perform_click_input(button=button, coords=coords, button_down=False, button_up=True)\",\n \"def _release(self, event):\",\n \"def HandleRelease(self, event: tkEvent):\\n pass\",\n \"def button_release_cb(self, darea, event):\\n self.oldx, self.oldy = event.x, event.y\\n self.draw_pointer(self.cr, None, None)\\n self.queue_draw()\\n self.oldx, self.oldy = None, None\\n self.emit('end-dnd')\\n return True\",\n \"def ev_mousebuttondown(self, event: tcod.event.MouseButtonDown) -> T | None:\",\n \"def m_release(self, button: MButton):\\n pass\",\n \"def releaseKeyButtons(self):\\n self._myKey.removeKeyButtonEvent([\\n CONFIG_KEY.BUTTON_ACT_A,\\n CONFIG_KEY.BUTTON_ACT_B,\\n CONFIG_KEY.BUTTON_JOY_UP,\\n CONFIG_KEY.BUTTON_JOY_DOWN,\\n CONFIG_KEY.BUTTON_JOY_LEFT,\\n CONFIG_KEY.BUTTON_JOY_RIGHT,\\n CONFIG_KEY.BUTTON_JOY_OK\\n ])\",\n \"def key_release_event(self, event):\\n pass\",\n \"def mouseReleaseEvent(self, event):\\n super(QIntSpinner3DS, self).mousePressEvent(event)\\n super(QIntSpinner3DS, self).mouseReleaseEvent(event)\\n self.unsetCursor()\",\n \"def _on_key_release(self, event):\",\n \"def _onrelease(self, item, fun, num=1, add=None):\\n if fun is None:\\n self.cv.tag_unbind(item, \\\"<Button%s-ButtonRelease>\\\" % num)\\n else:\\n def eventfun(event):\\n x, y = (self.cv.canvasx(event.x)/self.xscale,\\n -self.cv.canvasy(event.y)/self.yscale)\\n fun(x, y)\\n self.cv.tag_bind(item, \\\"<Button%s-ButtonRelease>\\\" % num,\\n eventfun, add)\",\n \"def on_mouse_release(self, x, y, button, modifiers):\\n \\n menu: Menu = self.get_menu_for_display()\\n\\n menu_click_x, menu_click_y = self.get_menu_click(menu, x, y)\\n\\n if button == arcade.MOUSE_BUTTON_LEFT:\\n if menu:\\n menu.button_list.check_mouse_release_for_buttons(\\n menu_click_x,\\n menu_click_y,\\n )\",\n \"def unpress(self):\\n if self.unclick:\\n self.clicked = False\",\n \"def on_mouse_press(self, x, y, button):\\n\\n pass\",\n \"def mouseReleaseEventEnabled(self, ev):\\n\\n self._btns.remove(ev.button())\",\n \"def __mouse_release(self, event, right_click=False):\\n global choose_rectangle\\n if right_click:\\n return\\n if choose_rectangle:\\n self.__finish_rectangle(event)\",\n \"def _OnMplMouseRelease( self, ev ):\\n if ev.button == 3:\\n ev.guiEvent.Skip()\",\n \"def mouseReleaseEvent(self, event):\\n # super(PlotWidget, self).mouseReleaseEvent(event)\\n event.accept()\",\n \"def _release(self, event):\\n self._set_cursor(False)\\n # self._pressv is deprecated but we still need to maintain it\\n self._pressv = None\\n\\n if not self._interactive:\\n self._selection_artist.set_visible(False)\\n\\n if (self._active_handle is None and self._selection_completed and\\n self.ignore_event_outside):\\n return\\n\\n vmin, vmax = self.extents\\n span = vmax - vmin\\n\\n if span <= self.minspan:\\n # Remove span and set self._selection_completed = False\\n self.set_visible(False)\\n if self._selection_completed:\\n # Call onselect, only when the span is already existing\\n self.onselect(vmin, vmax)\\n self._selection_completed = False\\n else:\\n self.onselect(vmin, vmax)\\n self._selection_completed = True\\n\\n self.update()\\n\\n self._active_handle = None\\n\\n return False\",\n \"def mouseReleased():\\n if not game_controller.game_over:\\n if game_controller.falling_disk and \\\\\\n game_controller.falling_disk.y_vel == 0:\\n game_controller.handle_mouseReleased()\",\n \"def keyReleaseEvent(self, event):\\n self.game_engine.input_manager.keyReleaseEvent(event)\",\n \"def handle_mouse_press(self, event):\",\n \"def on_mouse_release(self, x: float, y: float, button: int, modifiers: int):\\n if self.heldLetter is not None:\\n self.active_blocks.remove(self.heldLetter)\\n self.moving_blocks.append(self.heldLetter)\\n if len(arcade.get_sprites_at_point((x, y), self.inactive_blocks)) == 0 and x < BOARD_WIDTH:\\n letter_x, letter_y = self.nearest_cell(x, y)\\n self.heldLetter.place(letter_x, letter_y)\\n self.board_temp[int((letter_x-SLOT_WIDTH/2)/SLOT_WIDTH)][int((letter_y - SLOT_HEIGHT/2)/SLOT_HEIGHT)] = self.heldLetter\\n else:\\n self.heldLetter.return_home()\\n self.heldLetter = None\",\n \"def OnTokenButtonRelease(self, event):\\n self._drag_data = {\\\"x\\\": 0, \\\"item\\\": None}\\n\\n # Rebind the main GUI buttons because they are unbinded while dragging the beats\\n self.myMainGUI.root.after(200, self.myMainGUI.bindButtons)\",\n \"def mouseReleaseEvent(self, event):\\n button = event.button()\\n\\n # select an item on which we clicked\\n item = self.itemAt(event.x(), event.y())\\n if item:\\n self.setCurrentItem(item)\\n if button == 1:\\n print \\\"SIMPLE LEFT CLICK\\\"\",\n \"def mouse_press_event(self, x: int, y: int, button: int):\\n pass\",\n \"def on_mouse_up(self, pos, mouse_button):\\n for item in button.Button.all_buttons:\\n if item.collidepoint(pos):\\n self.buttons_clicked.append((item, mouse_button))\\n item.on_click(mouse_button)\",\n \"def keyReleaseEvent (self, event):\\n super(DiagramScene, self).keyReleaseEvent(event)\",\n \"def isButtonReleased() -> bool:\\n pass\",\n \"def ev_joybuttondown(self, event: tcod.event.JoystickButton) -> T | None:\",\n \"def on_mouse_press(self, x, y, button, key_modifiers):\\r\\n pass\",\n \"def check_mouse_release_for_buttons(x: float, y: float, button_list: list):\\n for button in button_list:\\n if button.pressed:\\n #sets button pressed to false\\n button.on_release()\",\n \"def on_mouse_release(self, x: float, y: float, button, modifiers):\\n #dialogue buttons\\n check_mouse_release_for_buttons(x, y, self.levels[self.current_level].dialogue_list)\\n\\n #room info prompt buttons\\n check_mouse_release_for_buttons(x, y, self.levels[self.current_level].room_info_list)\",\n \"def mouseReleaseEvent(self, ev):\\n\\n # handle the built mouse events first\\n\\n # panning...\\n if self.panning and (ev.button() == Qt.LeftButton):\\n # we're done panning\\n self.leftBtnClicked = False\\n self.setCursor(Qt.OpenHandCursor)\\n self.lastPanPoint = QPoint()\\n\\n # \\\"auto\\\" rubber banding...\\n elif self.rubberBandKey and self.rubberBanding:\\n\\n # end the rubber band selection\\n rubberBandRect = self.endRubberBand().toRect()\\n\\n # check if the user selected anything\\n if (rubberBandRect):\\n items = self.items(rubberBandRect)\\n\\n # filter the selected items\\n items = self.filterSelectedItems(items)\\n\\n # If we're handling selections deal with the selection states of our marks\\n if self.doSelections:\\n\\n for item in self.selectedItems:\\n item.setSelected(False)\\n for item in items:\\n item.setSelected(True)\\n self.selectedItems = items\\n\\n # call the emit method - we don't directly emit here in case a child class\\n # wants to transform the data before emitting it.\\n self.emitRubberbandSelection(rubberBandRect, items)\\n\\n else:\\n # This event isn't handled by automatically - emit a release event\\n clickLocation = self.mapToScene(ev.pos())\\n\\n # do a \\\"sloppy selection\\\" and return all items that intersect our\\n # selection rectangle. The selection rectangle is set by calling\\n # the setSelectionRadius method.\\n\\n # move our selection rectangle into place - depending on the size of\\n # the selection area, this may not be centered on the click location\\n areaLoc = ev.pos() - self.selectionRadius\\n self.selectionArea.moveTo(areaLoc)\\n\\n # check if the user clicked on anything - this will return a list of\\n # items that intersect the selection rectangle.\\n items = self.items(self.selectionArea)\\n\\n # filter the selection so we only return marks or text not associated\\n # with a mark.\\n items = self.filterSelectedItems(items)\\n\\n # call the emit method - we don't directly emit here in case a child class\\n # wants to transform the data before emitting it.\\n self.emitReleaseEvent(clickLocation, ev.button(), self.currentKbKey, items)\",\n \"def _ReleaseAllButtons(self):\\n self._kit.MouseReleaseAllButtons()\\n time.sleep(self.send_delay)\",\n \"def ev_MOUSEUP(self, event):\",\n \"def check_mouse_release_for_buttons(_x, _y, button_list):\\n for button in button_list:\\n if button.pressed:\\n button.on_release()\",\n \"def mouseDragged():\\n if mousePressed:\\n mousePressed()\",\n \"def mouseReleaseEvent(self, event):\\n if event.button() is not QtCore.Qt.MouseButton.LeftButton:\\n return False\\n if self.mousenode is not None:\\n self.remove_mousenode(event)\\n return QtGui.QGraphicsScene.mouseReleaseEvent(self, event)\",\n \"def mouse_out(self):\\n pass\",\n \"def button_press_event(self, widget, event):\\n x, y = event.x, event.y\\n\\n # x, y = coordinates where the button was pressed\\n self.last_win_x, self.last_win_y = x, y\\n\\n button = 0\\n # Prepare a button mask with bits set as follows:\\n # left button: 0x1\\n # middle button: 0x2\\n # right button: 0x4\\n # Others can be added as appropriate\\n self.logger.debug(\\\"button down event at %dx%d, button=%x\\\" % (x, y, button))\\n\\n data_x, data_y = self.check_cursor_location()\\n\\n return self.make_ui_callback('button-press', button, data_x, data_y)\",\n \"def on_release(self, keyname):\\n self.keydown = False\\n keyname = str(keyname).strip('\\\\'')\\n log.info('KEY RELEASE ' + keyname)\\n if keyname in self.controls_keyrelease:\\n key_handler = self.controls_keyrelease[keyname]()\",\n \"def rightButtonUp(self):\\n\\t\\tautopy.mouse.toggle(False,autopy.mouse.RIGHT_BUTTON)\",\n \"def mouseReleased(self, _evt, _id):\\n if not self.is_enabled: return False\\n \\n self.mouse_icon.mouseReleased(_evt, _id)\\n return False\",\n \"def exit_on_click(self):\\n self.get_mouse()\\n self._close()\",\n \"def on_key_release(self, key_released: int, _: int) -> None:\\n if key_released in (key.LEFT, key.RIGHT, key.A, key.D):\\n self.change_x = 0\\n self.direction = None\",\n \"def handle_mousehold(self, button, name):\\r\\n if widget.Widget.handle_mousehold(self, button, name):\\r\\n app.App.handle_mousehold(self, button, name)\\r\\n return True\\r\\n return False\",\n \"def keyReleaseEvent(self, ev):\\n self.currentKbKey = None\\n\\n if (ev.key() == self.panKey):\\n # disable Pan/Zoom mode\\n self.panning = False\\n if self.__pointerLeftWidget:\\n # we've left the widget - reset the cursor to the standard arrow\\n self.setCursor(Qt.ArrowCursor)\\n else:\\n self.setCursor(self.defaultCursor)\\n elif (ev.key() == self.selectAddKey):\\n # disable selection add mode\\n if self.__pointerLeftWidget:\\n # we've left the widget - reset the cursor to the standard arrow\\n self.setCursor(Qt.ArrowCursor)\\n else:\\n self.setCursor(self.defaultCursor)\\n elif (ev.key() == self.zoomKey):\\n # disable zoom mode\\n self.__zooming = False\\n else:\\n self.keyRelease.emit(self, ev)\",\n \"def handle_release(self, x, y):\\n # append new line to list of lines\\n self.lines.append( (self.first_point, (x, y)) )\\n\\n # clear mouse pressed flag and rubber band line coords\\n self.pressed_flag = False\\n self.first_point = None\\n self.last_point = None\\n\\n # trigger canvas to redraw itself\\n self.redraw()\",\n \"def onRelease(event):\\r\\n global initPos\\r\\n initPos = None # Reset the position ready for next click\\r\",\n \"def _release(self, event):\\n # Release active tool handle.\\n if self._active_handle_idx >= 0:\\n if event.button == 3:\\n self._remove_vertex(self._active_handle_idx)\\n self._draw_polygon()\\n self._active_handle_idx = -1\\n\\n # Complete the polygon.\\n elif len(self._xys) > 3 and self._xys[-1] == self._xys[0]:\\n self._selection_completed = True\\n if self._draw_box and self._box is None:\\n self._add_box()\\n\\n # Place new vertex.\\n elif (not self._selection_completed\\n and 'move_all' not in self._state\\n and 'move_vertex' not in self._state):\\n self._xys.insert(-1, (event.xdata, event.ydata))\\n\\n if self._selection_completed:\\n self.onselect(self.verts)\",\n \"def mouseReleaseEvent( self, event ):\\n event.setAccepted(False)\\n if self._hotspotPressed:\\n event.accept()\\n self._hotspotPressed = False\\n return\\n \\n # ignore events when the scene is in view mode\\n scene = self.scene()\\n if ( self.isLocked() or self._ignoreMouseEvents or \\\\\\n (scene and (scene.inViewMode() or scene.isConnecting()))):\\n event.ignore()\\n self._ignoreMouseEvents = False\\n return\\n \\n super(XNode, self).mouseReleaseEvent(event)\\n \\n # emit the geometry changed signal\\n self.emitGeometryChanged()\\n \\n # unblock the selection signals\\n if ( scene ):\\n scene.blockSelectionSignals(False)\\n \\n delta = datetime.datetime.now() - self._pressTime\\n if not scene.signalsBlocked() and delta.seconds < 1:\\n scene.nodeClicked.emit(self)\",\n \"def on_canvas_mouse_release(self, event) -> None:\\r\\n\\r\\n self.edit_toggle_mode = None\",\n \"def _press(self, event):\",\n \"def key_release_event(self, widget, event):\\n # get keyname or keycode and translate to ginga standard\\n # keyname =\\n # keycode =\\n keyname = '' # self.transkey(keyname, keycode)\\n self.logger.debug(\\\"key release event, key=%s\\\" % (keyname))\\n return self.make_ui_callback('key-release', keyname)\",\n \"def ev_joybuttonup(self, event: tcod.event.JoystickButton) -> T | None:\",\n \"def triangleBtnHandler(val):\\n if val == 1 :\\n print(\\\"Triangle button pressed\\\")\\n else:\\n print(\\\"Triangle button released\\\")\",\n \"def on_key_release(self, symbol, modifiers):\\n self.gamestatemanager.peek().on_key_release(symbol, modifiers, self.config_data[\\\"controls\\\"])\",\n \"def down(self, event):\\n self.dragx = event.x\\n self.dragy = event.y\\n self.canvas.bind(\\\"<B1-Motion>\\\", self.motion)\\n self.canvas.bind(\\\"<ButtonRelease-1>\\\", self.up)\\n return True\",\n \"def on_key_release(self, key, modifiers):\\n pass # stop animation\",\n \"def on_key_release(self, key, modifiers):\\n player_controller.input_release(key, self.player)\",\n \"def handle_mouseup(self, button, name):\\r\\n x = widget.Widget.handle_mouseup(self, button, name)\\r\\n if not self.mouse_on_me():\\r\\n return False\\r\\n if not self.get_visible():\\r\\n return False\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_mouseup(button, name):\\r\\n return True\\r\\n return x\",\n \"def button_handler(self, channel):\\n if channel != self.BUTTON_PIN:\\n return\\n\\n state = GPIO.input(self.BUTTON_PIN)\\n now = time.time()\\n delta = now - self.prev_button_state[1]\\n\\n if self.prev_button_state[0] != state:\\n self.prev_button_state = (state, now)\\n\\n if state == GPIO.HIGH:\\n self.button_hold = None\\n\\n # debounce the button tap and trigger action\\n if delta > self.TAP_TIME and self.button_tap is None:\\n self.button_tap = True\\n os.kill(os.getpid(), signal.SIGALRM)\\n else:\\n self.button_tap = None\\n\\n # schedule a hold check\\n signal.alarm(int(self.HOLD_TIME))\\n\\n elif state == GPIO.LOW:\\n if delta >= self.HOLD_TIME and self.button_hold is None:\\n self.button_hold = True\\n self.button_tap = False\",\n \"def on_press(self):\\n self.pressed = True\",\n \"def on_press(self):\\n self.pressed = True\",\n \"def delete_button_callback(self, button):\\n\\t\\tRPIO.del_interrupt_callback(button)\",\n \"def mouseReleaseEvent(self, event):\\n self.box_begin = self.begin\\n self.box_end = event.pos()\\n self.begin = event.pos()\\n self.end = event.pos()\\n if not self.permanent_show:\\n self.update()\",\n \"def debounced_key_release(event):\\n # print('Debounced release', repr(event.key))\\n key_indicator.set_text('')\\n fig.canvas.draw()\",\n \"def leftButtonUp(self):\\n\\t\\tautopy.mouse.toggle(False,autopy.mouse.LEFT_BUTTON)\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP:\\n self.up_pressed = False\\n elif key == arcade.key.DOWN:\\n self.down_pressed = False\\n elif key == arcade.key.LEFT:\\n self.left_pressed = False\\n elif key == arcade.key.RIGHT:\\n self.right_pressed = False\",\n \"def on_key_release(self, key, modifiers):\\n\\n if key == arcade.key.UP:\\n self.up_pressed = False\\n elif key == arcade.key.DOWN:\\n self.down_pressed = False\\n elif key == arcade.key.LEFT:\\n self.left_pressed = False\\n elif key == arcade.key.RIGHT:\\n self.right_pressed = False\",\n \"def mouse_right_up(self):\\n pass\",\n \"def ev_MOUSEDOWN(self, event):\",\n \"def HandButton(self, event):\\n pass\",\n \"def up(self, event):\\n event.widget.unbind (\\\"<B1-Motion>\\\")\\n event.widget.unbind (\\\"<ButtonRelease-1>\\\")\\n self.diag.update_arrows()\",\n \"def ev_controllerbuttondown(self, event: tcod.event.ControllerButton) -> T | None:\",\n \"def on_release(self, released_key ):\\n if released_key is not None:\\n if isinstance(released_key, pynput.keyboard.KeyCode) and released_key.char is not None:\\n released_key = released_key.char.lower()\\n elif isinstance(released_key, pynput.keyboard.Key):\\n released_key = released_key.name\\n self.keys_set.discard(released_key)\",\n \"def on_release(self, event):\\n self.current_point = None\",\n \"def eventHandler(self, event: pygame.event):\\n # change selected color if this button's rectangle was clicked\\n if event.type == pygame.MOUSEBUTTONDOWN:\\n if event.button == 1:\\n if self.rect.collidepoint(event.pos): # is mouse over button\\n self.image = self._images[ButtonImages.CLICKING_IMAGE.value]\\n self.beingClicked = True\\n for func, *args in self.functionsToInvokeWhenClicked:\\n func(*args)\\n elif event.type == pygame.MOUSEBUTTONUP and self.beingClicked:\\n if event.button == 1:\\n self.beingClicked = False\\n self.image = self._images[ButtonImages.DEFAULT_IMAGE.value]\",\n \"def exit_btn_callback(evt):\\n print(\\\"Inside exit_btn_callback. Event object is: \\\", evt)\\n mainwin.destroy()\",\n \"def _callbackKeyButton(self, channel):\\n if self._myKey.readKeyButton(channel) == 0:\\n self.onKeyButtonDown(channel)\\n return\\n\\n if self._myKey.readKeyButton(channel) == 1:\\n self.onKeyButtonUp(channel)\\n return\",\n \"def on_key_up(self, keyboard, keycode):\\n Logger.debug('KeyUp Event: Keycode[1] is \\\"{}\\\"'.format(keycode[1]))\\n self.keysPressed.remove(keycode[1])\",\n \"def check_mouse_release_for_buttons(x, y, button_list):\\n for button in button_list:\\n if x > button.center_x + button.width / 2:\\n continue\\n if x < button.center_x - button.width / 2:\\n continue\\n if y > button.center_y + button.height / 2:\\n continue\\n if y < button.center_y - button.height / 2:\\n continue\\n button.on_release()\",\n \"def mouseReleaseEvent(self, event: QMouseEvent):\\n self._moving = False\\n self.rectChanged.emit(self._rect)\\n super().mouseReleaseEvent(event)\",\n \"def key_handler(self, event):\\n if event.type == pygame.KEYUP: \\n self.done = True\",\n \"def handle_keyrelease(self, event):\\r\\n if event.keysym == \\\"BackSpace\\\":\\r\\n self.delete(self.index(tkinter.INSERT), tkinter.END)\\r\\n self.position = self.index(tkinter.END)\\r\\n if event.keysym == \\\"Left\\\":\\r\\n if self.position < self.index(tkinter.END): # delete the selection\\r\\n self.delete(self.position, tkinter.END)\\r\\n else:\\r\\n self.position = self.position-1 # delete one character\\r\\n self.delete(self.position, tkinter.END)\\r\\n if event.keysym == \\\"Right\\\":\\r\\n self.position = self.index(tkinter.END) # go to end (no selection)\\r\\n if len(event.keysym) == 1:\\r\\n self.autocomplete()\\r\\n # No need for up/down, we'll jump to the popup\\r\\n # list at the position of the autocompletion\\r\",\n \"def button_press_cb(self, source, event):\\n\\n if event.button == MOUSE_BUTTON_RIGHT:\\n pass\\n return True\\n elif event.button == MOUSE_BUTTON_MIDDLE:\\n self.emit('begin-move')\\n return True\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.80996853","0.80075884","0.7933358","0.74254155","0.7286587","0.7269564","0.72388613","0.72388613","0.72174096","0.71852064","0.7037113","0.7027572","0.7019888","0.69756335","0.6968941","0.6932969","0.69013923","0.68389016","0.6834489","0.68217915","0.68064696","0.67922896","0.67721957","0.67626584","0.6738707","0.6725046","0.67031455","0.6703062","0.667345","0.6661664","0.6637001","0.6592699","0.65886796","0.6568915","0.6561103","0.6561102","0.654002","0.65370697","0.6535258","0.6524198","0.6510034","0.6508104","0.648113","0.64720184","0.64643985","0.6451043","0.6433521","0.64274275","0.6401048","0.6399519","0.6398906","0.63691485","0.6367818","0.6328204","0.627359","0.6267704","0.62474436","0.6225996","0.6225327","0.6215503","0.6209651","0.6205074","0.61963767","0.6182396","0.6179401","0.6173177","0.6167398","0.6159565","0.6152561","0.6145867","0.6137639","0.60926855","0.60899174","0.6082023","0.6076744","0.60733455","0.60664153","0.60664153","0.6050228","0.6038865","0.60152435","0.60091376","0.6004603","0.6004603","0.5998809","0.5990724","0.59758055","0.59740525","0.59453046","0.5943226","0.5925004","0.5923064","0.5921629","0.591867","0.5915708","0.590709","0.590701","0.5903546","0.5902491","0.59009856"],"string":"[\n \"0.80996853\",\n \"0.80075884\",\n \"0.7933358\",\n \"0.74254155\",\n \"0.7286587\",\n \"0.7269564\",\n \"0.72388613\",\n \"0.72388613\",\n \"0.72174096\",\n \"0.71852064\",\n \"0.7037113\",\n \"0.7027572\",\n \"0.7019888\",\n \"0.69756335\",\n \"0.6968941\",\n \"0.6932969\",\n \"0.69013923\",\n \"0.68389016\",\n \"0.6834489\",\n \"0.68217915\",\n \"0.68064696\",\n \"0.67922896\",\n \"0.67721957\",\n \"0.67626584\",\n \"0.6738707\",\n \"0.6725046\",\n \"0.67031455\",\n \"0.6703062\",\n \"0.667345\",\n \"0.6661664\",\n \"0.6637001\",\n \"0.6592699\",\n \"0.65886796\",\n \"0.6568915\",\n \"0.6561103\",\n \"0.6561102\",\n \"0.654002\",\n \"0.65370697\",\n \"0.6535258\",\n \"0.6524198\",\n \"0.6510034\",\n \"0.6508104\",\n \"0.648113\",\n \"0.64720184\",\n \"0.64643985\",\n \"0.6451043\",\n \"0.6433521\",\n \"0.64274275\",\n \"0.6401048\",\n \"0.6399519\",\n \"0.6398906\",\n \"0.63691485\",\n \"0.6367818\",\n \"0.6328204\",\n \"0.627359\",\n \"0.6267704\",\n \"0.62474436\",\n \"0.6225996\",\n \"0.6225327\",\n \"0.6215503\",\n \"0.6209651\",\n \"0.6205074\",\n \"0.61963767\",\n \"0.6182396\",\n \"0.6179401\",\n \"0.6173177\",\n \"0.6167398\",\n \"0.6159565\",\n \"0.6152561\",\n \"0.6145867\",\n \"0.6137639\",\n \"0.60926855\",\n \"0.60899174\",\n \"0.6082023\",\n \"0.6076744\",\n \"0.60733455\",\n \"0.60664153\",\n \"0.60664153\",\n \"0.6050228\",\n \"0.6038865\",\n \"0.60152435\",\n \"0.60091376\",\n \"0.6004603\",\n \"0.6004603\",\n \"0.5998809\",\n \"0.5990724\",\n \"0.59758055\",\n \"0.59740525\",\n \"0.59453046\",\n \"0.5943226\",\n \"0.5925004\",\n \"0.5923064\",\n \"0.5921629\",\n \"0.591867\",\n \"0.5915708\",\n \"0.590709\",\n \"0.590701\",\n \"0.5903546\",\n \"0.5902491\",\n \"0.59009856\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7786435"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":1492,"cells":{"query":{"kind":"string","value":"Called when a mouse cursor is moving in the widget. Adjust method signature as appropriate for callback."},"document":{"kind":"string","value":"def motion_notify_event(self, widget, event):\n x, y = event.x, event.y\n\n # x, y = coordinates of cursor\n self.last_win_x, self.last_win_y = x, y\n\n button = 0\n # prepare button mask as in button_press_event()\n\n data_x, data_y = self.check_cursor_location()\n\n return self.make_ui_callback('motion', button, data_x, data_y)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def mouse_move_callback(self, event):\n # TODO drag and drop figuriek\n print(\"moving at \", event.x + self.offset_x, event.y + self.offset_y)","def on_mouse_motion(self, x, y, delta_x, delta_y):\r\n pass","def __mouseMoved(self, x, y):\n # Are we on the bounding box?\n if pointOnBox(x, y, self.currentBox, thickness=self.__THICKNESS):\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\n cursor = [\n wx.CURSOR_SIZENWSE,\n wx.CURSOR_SIZENS,\n wx.CURSOR_SIZENESW,\n wx.CURSOR_SIZEWE,\n wx.CURSOR_SIZENWSE,\n wx.CURSOR_SIZENS,\n wx.CURSOR_SIZENESW,\n wx.CURSOR_SIZEWE\n ] [position]\n self.__setCursor(cursor)\n elif pointInBox(x, y, self.currentBox):\n self.__setCursor(wx.CURSOR_HAND)\n else:\n self.__setCursor()","def on_mouse_motion(x, y, dx, dy):\n if in_box(x, y):\n # Change the cursor if inside the box.\n self.window.set_mouse_cursor(self.hand_cursor)\n else:\n self.window.set_mouse_cursor(self.default_cursor)","def moveCursor(self):\n\n\t\tself._before = self.rect.center\n\t\tself.rect.center = self._pos","def on_mouse_motion(self, x, y, delta_x, delta_y):\n \n pass","def handle_mouse(self, x, y):\n pass","def on_mouse_move(self, event: PointEvent):\n self.x = event.x\n self.y = event.y\n self.handle_mouse(self.x, self.y)","def handle_mouse(self, x, y):\n self.x = x\n self.y = y\n global _pending_handle_mouse\n if not _pending_handle_mouse:\n _pending_handle_mouse = True\n if self.fig.document is not None:\n self.fig.document.add_timeout_callback(self.handle_mouse_callback, 100)\n else:\n self.handle_mouse_callback()","def __master_cursor_pos_callback(self, glfw_window, xpos, ypos):\n # flip glfw window space to match OGL space(like texture that has bottom left origin)\n ypos = self.window.glyph.size[1] - ypos\n\n # update values\n self.__pos_instant = Vec(xpos, ypos, 0)\n self.__accel = self.__pos_instant - self.__pos_prev\n self.__pos_prev = self.__pos_instant\n\n # call registered callbacks\n self.call_cursor_pos_callback(glfw_window, *self.__pos_instant.xy, mouse=self)","def _motion(self, event):\n if self.current:\n # modify the current line by changing the end coordinates\n # to be the current mouse position\n coords = event.widget.coords(self.current)\n coords[2] = event.x\n coords[3] = event.y\n\n event.widget.coords(self.current, *coords)","def ev_mousemotion(self, event: MouseMotion) -> None:","def grab(self, event):\n self.ypos = event.y\n self.xpos = event.x\n self.config(cursor='fleur')","def ev_MOUSEMOTION(self, event):","def mousePosition(self):","def mouseEvent(self, widget, event):\n # Zoom in and out with the middle and right mouse buttons\n if event.type == gtk.gdk.BUTTON_PRESS:\n if event.button == 2:\n self.ruler.zoom(2)\n elif event.button == 3:\n self.ruler.zoom(0.5)\n\n # Use the ruler widget's coordinate system to update the time cursor\n x, y, mask = self.ruler.canvas.window.get_pointer()\n scroll = self.ruler.canvas.get_scroll_offsets()[0]\n t = (x + scroll) / self.ruler.scale\n self.cursor.value = t\n\n # If the mouse button is down, try to find the canvas item under the cursor.\n # We use the row's collision detection tree for this, for the same reason\n # we use it for everything else: gnome-canvas' built-in collision detection\n # works poorly on very small items.\n if mask & gtk.gdk.BUTTON1_MASK:\n\n # Search every row in every canvas\n for obj in self.canvasList:\n y = obj.canvas.get_pointer()[1]\n for row in obj.rows:\n if y >= row.top and y <= row.bottom:\n\n # Give a few pixels of slack on either side\n slack = 2.0 / self.ruler.scale\n cursorInterval = (t - slack, t + slack)\n\n # The mouse is in this row. Use the row's collision detection\n # to find a nearby item.\n tag = row.intervalOccupied(*cursorInterval)\n if tag and tag[0] != self.hilightWidget:\n self.notifyHilightChanged(tag[0].dataTransaction)\n self.setHilightWidget(tag[0])\n return False\n return False","def __handleMouseEvents(self, event):\n if not self.enabled:\n return\n\n x, y = event.GetPosition()\n\n # First make sure we have started a box.\n if self.currentBox == None and not event.LeftDown():\n # No box started yet. Set cursor to the initial kind.\n self.__setCursor(wx.CURSOR_CROSS)\n return\n\n if event.LeftDown():\n if self.currentBox == None:\n # No RB Box, so start a new one.\n self.currentBox = (x, y, 0, 0)\n self.hasLetUp = 0\n elif self.__isSizingCursor():\n # Starting a sizing operation. Change the origin.\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\n self.currentBox = self.__denormalizeBox(position, self.currentBox)\n\n elif event.Dragging() and event.LeftIsDown():\n # Use the cursor type to determine operation\n if self.__isMovingCursor():\n if self.currentlyMoving or pointInBox(x, y, self.currentBox):\n if not self.currentlyMoving:\n self.currentlyMoving = (x - self.currentBox[0], y - self.currentBox[1])\n self.__moveTo(x - self.currentlyMoving[0], y - self.currentlyMoving[1])\n elif self.__isSizingCursor():\n self.__resizeBox(x, y)\n\n elif event.LeftUp():\n self.hasLetUp = 1\n self.currentlyMoving = None\n self.__normalizeBox()\n\n elif event.Moving() and not event.Dragging():\n # Simple mouse movement event\n self.__mouseMoved(x,y)","def _update_cursor(self) -> None:\n # get the brush size (get a local reference in case another process\n # changes it between the different accesses in this method)\n brush_size = self.brush_size\n # if there is not update, return\n if not self.is_cursor_change:\n return\n # otherwise dequeue the update\n self.is_cursor_change = False\n # make a static border ring for the cursor\n ring = make_ring(brush_size - 1, brush_size)\n cursor = make_cursor(ring, self._brush_border_color)\n # make a circle with the current color\n brush_circle = make_circle(brush_size) - ring\n cursor = cursor + make_cursor(brush_circle, self._color)\n # create the pyglet cursor object and set it\n mouse = pyglet_cursor(cursor)\n self._view.set_cursor(mouse)","def move_start(event):\n nonlocal x, y\n x = event.x \n y = event.y\n window['cursor'] = utils.CURSORS['move_item']","def mouse_position_event(self, x: int, y: int):\n pass","def mouseMoveEvent(self, event):\n self.end = event.pos()\n self.update()","def handle_mouse(obj, event):\n if event:\n x = event.globalX()\n y = event.globalY()\n x_w = obj.offset.x()\n y_w = obj.offset.y()\n obj.move(x - x_w, y - y_w)","def _onmove(self, event):","def on_mouse_move(self, event):\n self.mouse = [event.xdata, event.ydata]\n\n # Update pan view on mouse move\n if self.panning is True:\n for a in self.pan_axes:\n a.drag_pan(1, event.key, event.x, event.y)\n\n # Async re-draw (redraws only on thread idle state, uses timer on backend)\n self.canvas.draw_idle()\n\n ##### Temporary place-holder for cached update #####\n self.update_screen_request.emit([0, 0, 0, 0, 0])","def on_mouse_move(self, win, xpos, ypos):\n old = self.mouse\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\n self.drag(old, self.mouse, glfw.get_window_size(win))\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\n self.pan(old, self.mouse)","def on_mouse_move(self, win, xpos, ypos):\n old = self.mouse\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\n self.drag(old, self.mouse, glfw.get_window_size(win))\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\n self.pan(old, self.mouse)","def _hover(self, event):\n if self.ignore(event):\n return\n\n if self._active_handle is not None or not self._selection_completed:\n # Do nothing if button is pressed and a handle is active, which may\n # occur with drag_from_anywhere=True.\n # Do nothing if selection is not completed, which occurs when\n # a selector has been cleared\n return\n\n _, e_dist = self._edge_handles.closest(event.x, event.y)\n self._set_cursor(e_dist <= self.grab_range)","def OnMouseMotion(self, evt):\n if evt.Dragging() and evt.LeftIsDown():\n self.lastx, self.lasty = self.x, self.y\n self.x, self.y = evt.GetPosition()\n self.Refresh(False)","def update(self):\n self.mousePos = pygame.mouse.get_pos()\n self.update_button_hover_status()","def setMousePositionCallback(self, callback):\n\n self.mouse_position_callback = callback","def mouseDragged(self, point, delta):\n pass","def on_mouse_move(self, event):\n if event.is_dragging and event.buttons[0] == 1:\n x0, y0 = event.last_event.pos[0], event.last_event.pos[1]\n x1, y1 = event.pos[0], event.pos[1]\n X0, Y0, Z0 = self.pixel_to_coords(float(x0), float(y0))\n X1, Y1, Z1 = self.pixel_to_coords(float(x1), float(y1))\n self.translate_center(X1 - X0, Y1 - Y0, Z1 - Z0)","def mouseMoveEvent(self, event):\n # super(PlotWidget, self).mouseMoveEvent(event)\n event.accept()","def _on_canvas_mouse(self, event):\n if event.GetEventType() in [wx.wxEVT_MOTION, wx.wxEVT_LEFT_DOWN, \n wx.wxEVT_LEFT_UP, wx.wxEVT_MOTION|wx.wxEVT_LEFT_DOWN]:\n new_event = wx.MouseEvent(event.GetEventType())\n pos = self.tc.ScreenToClient(wx.GetMousePosition())\n new_event.SetPosition(pos)\n new_event.Skip()\n self.tc.GetEventHandler().ProcessEvent(new_event)","def on_mouse_motion(self, x, y, delta_x, delta_y):\n\n print(x)\n print(y)\n print(delta_x)\n print(delta_y)\n\n\n #self.manage_crosshair()\n \n \n\n #self.crosshair_sprite.center_x += delta_x\n #self.crosshair_sprite.center_y += delta_y\n\n\n self.crosshair_relative_xoffset += delta_x\n self.crosshair_relative_yoffset += delta_y","def mouse_move(self, pos):\n if (self.setup_type == \"position\"):\n x, y = pos\n self.canvas.move(x, y)","def mouseReleaseEvent(self, event):\n width = self.frameGeometry().width()\n height = self.frameGeometry().height()\n cursor = QtGui.QCursor()\n new_pos = self.mapFromGlobal(cursor.pos())\n x = new_pos.x()\n y = new_pos.y()\n self.__selector_y = y/float(height) # normalized value of the y position\n \tself.__selector_x = x/float(width) #normalised value of the x position\n self.updatePixelColor()\n self.repaint()","def handle_mouse_press(self, event):","def update(self):\n # Get the current mouse position. This returns the position\n # as a list of two numbers.\n pos = pygame.mouse.get_pos()\n\n # Set the player x position to the mouse x position\n self.rect.x = pos[0]","def motion_notify_cb(self, darea, event):\n if event.is_hint:\n x, y, state = event.window.get_pointer()\n else:\n x = event.x\n y = event.y\n state = event.state\n if state & gdk.BUTTON1_MASK or state & gdk.BUTTON3_MASK:\n self.draw_pointer(self.cr, x, y)\n self.queue_draw()\n self.oldx, self.oldy = x, y\n rel_x, rel_y = self.absolute_to_relative(x, y)\n self.emit('dnd-value', rel_x, rel_y)\n return True","def mousePressEvent(self, event):\n self.begin = event.pos()\n self.end = event.pos()\n self.update()","def moveCursor(self, QAbstractItemView_CursorAction, Qt_KeyboardModifiers): # real signature unknown; restored from __doc__\r\n pass","def update(self):\n # Get the current mouse position. This returns the position\n # as a list of two numbers.\n pos = pygame.mouse.get_pos()\n \n # Set the player x position to the mouse x position\n self.rect.x = pos[0]","def append_cursor_pos_callback(self, callbacked, *args, **kwargs):\n pass","def append_cursor_enter_callback(self):","def _(event):\n system_line.cursor_left()","def emitMouseMoveEvent(self, location, currentKbKey, draggedItems, items):\n # emit the mouseMoveEvent signal\n self.mouseMove.emit(self, location, currentKbKey, draggedItems, items)","def watchCursor(self, cursor):\n cursor.observers.append(self._cursorCallback)","def handle_mousemotion(self, change):\r\n if widget.Widget.handle_mousemotion(self, change):\r\n app.App.handle_mousemotion(self, change)\r\n return True\r\n return False","def handleMousePositionCallback(self, xy):\n\n if self.mouse_position_callback:\n (x, y) = xy\n posn = self.convertView2Geo(x, y)\n self.mouse_position_callback(posn)","def cursor_cb(self, scene_pos):\n if self.is_within_image(scene_pos):\n pos = self.vb_image.mapSceneToView(scene_pos)\n\n self.cursor_v.setPos(pos)\n self.cursor_h.setPos(pos)\n self.cursor_text.setText(\n \"({:.1f}, {:.1f}) px\".format(pos.x(), pos.y()))\n if self._mark is not None:\n delta = pos - self._mark\n self.cursor_delta.setPos(pos)\n self.cursor_delta.setText(\n \"Δ = ({:.1f}, {:.1f}) μm\".format(\n self.px_to_um(delta.x()), self.px_to_um(delta.y())))\n\n self.cursor_v.show()\n self.cursor_h.show()\n self.cursor_text.show()\n self.cursor_delta.show()\n\n elif self.is_within_zoom(scene_pos):\n pos = self.vb_zoom.mapSceneToView(scene_pos)\n\n if self._up is not None:\n self.zoom_text.setPos(pos)\n self.zoom_text.setText(\"I = {:.0f}\".format(\n self.zoom.image[int(pos.x()), int(pos.y())]))\n self.zoom_text.show()\n\n elif self.is_within_residuals(scene_pos):\n pos = self.vb_residuals.mapSceneToView(scene_pos)\n\n if self._up is not None:\n self.residuals_text.setPos(pos)\n self.residuals_text.setText(\"r = {:.2f}\".format(\n self.residuals.image[int(pos.x()),int(pos.y())]))\n self.residuals_text.show()\n\n else:\n for w in [self.cursor_v, self.cursor_h,\n self.cursor_text, self.cursor_delta,\n self.zoom_text, self.residuals_text]:\n w.hide()","def mouseMoveEvent(self, event):\n if self._ignore_mouse_events:\n event.ignore()\n return\n\n event.accept()\n\n if self._selection_mode != SelectionMode.NONE:\n x = event.x()\n y = event.y()\n xdiff = float(x - self._selection_position_start[0])\n ydiff = float(y - self._selection_position_start[1])\n if abs(xdiff) < 0.0001:\n xdiff = 1\n if abs(ydiff) < 0.0001:\n ydiff = 1\n xoff = float(self._selection_position_start[0]) / xdiff + 0.5\n yoff = float(self._selection_position_start[1]) / ydiff + 0.5\n self._addUpdateSelectionBox(xdiff, ydiff, xoff, yoff)\n\n elif self._use_zinc_mouse_event_handling:\n scene_input = self._sceneviewer.createSceneviewerinput()\n scene_input.setPosition(event.x(), event.y())\n scene_input.setEventType(Sceneviewerinput.EVENT_TYPE_MOTION_NOTIFY)\n if event.type() == QtCore.QEvent.Leave:\n scene_input.setPosition(-1, -1)\n self._sceneviewer.processSceneviewerinput(scene_input)","def mouseMoveEvent (self, event):\n self.itemMoved = True\n super(DiagramItem, self).mouseMoveEvent(event)","def mouseDragged():\n if mousePressed:\n mousePressed()","def on_mouse_movement(self, event: wx.MouseEvent) -> None:\n if not event.Dragging():\n self._drag_start_pos = None\n return\n # self.CaptureMouse()\n if self._drag_start_pos is None:\n self._drag_start_pos = event.GetPosition()\n else:\n current_pos = event.GetPosition()\n change = self._drag_start_pos - current_pos\n self.SetPosition(self.GetPosition() - change)","def on_mouse_movement(self, event: wx.MouseEvent) -> None:\n if not event.Dragging():\n self._drag_start_pos = None\n return\n # self.CaptureMouse()\n if self._drag_start_pos is None:\n self._drag_start_pos = event.GetPosition()\n else:\n current_pos = event.GetPosition()\n change = self._drag_start_pos - current_pos\n self.SetPosition(self.GetPosition() - change)","def __isMovingCursor(self):\n return self.__currentCursor == wx.CURSOR_HAND","def hoverMoveEvent(self, moveEvent):\n if self.isSelected():\n handle = None\n if self.handle.contains(moveEvent.pos()):\n handle = \"k\" # something not None\n cursor = Qt.ArrowCursor if handle is None else Qt.SizeFDiagCursor\n self.setCursor(cursor)\n super().hoverMoveEvent(moveEvent)","def OnMouse(self, event):\n\n self.Refresh()\n event.Skip()","def mousePositionRaw(self):","def mousePositionRaw(self):","def _onmove(self, event):\n\n # self._prev are deprecated but we still need to maintain it\n self._prev = self._get_data(event)\n\n v = event.xdata if self.direction == 'horizontal' else event.ydata\n if self.direction == 'horizontal':\n vpress = self._eventpress.xdata\n else:\n vpress = self._eventpress.ydata\n\n # move existing span\n # When \"dragging from anywhere\", `self._active_handle` is set to 'C'\n # (match notation used in the RectangleSelector)\n if self._active_handle == 'C' and self._extents_on_press is not None:\n vmin, vmax = self._extents_on_press\n dv = v - vpress\n vmin += dv\n vmax += dv\n\n # resize an existing shape\n elif self._active_handle and self._active_handle != 'C':\n vmin, vmax = self._extents_on_press\n if self._active_handle == 'min':\n vmin = v\n else:\n vmax = v\n # new shape\n else:\n # Don't create a new span if there is already one when\n # ignore_event_outside=True\n if self.ignore_event_outside and self._selection_completed:\n return\n vmin, vmax = vpress, v\n if vmin > vmax:\n vmin, vmax = vmax, vmin\n\n self.extents = vmin, vmax\n\n if self.onmove_callback is not None:\n self.onmove_callback(vmin, vmax)\n\n return False","def update(self):\n\n\t\tself.x = games.mouse.x\n\t\tself.y = games.mouse.y\n\t\tself.check_collide()","def handle_mouse(self, x, y):\n self.last_x = x\n self.last_y = y\n if self.min_x is not None:\n self.last_x = max(self.last_x, self.min_x)\n if self.max_x is not None:\n self.last_x = min(self.last_x, self.max_x)\n # we are in region mode\n if self.region_id is not None:\n start = self.last_x\n end = self.region_edge\n self.region_model.adjust_region(self.region_id, start, end)\n return False","def on_mousemove(event, x, y, flags, userparam):\n global mouse_pos\n global source_img, source_msk, display_img\n global DRAW_MODE\n\n if event == cv.EVENT_MOUSEMOVE:\n mouse_pos = (x, y)\n\n if flags & cv.EVENT_FLAG_SHIFTKEY:\n current_label = LABEL_BACKGROUND\n else:\n current_label = CURRENT_LABEL\n\n if DRAW_MODE == \"point\":\n if flags & cv.EVENT_FLAG_CTRLKEY:\n cv.circle(source_msk, (x, y), SHAPE_SIZE, current_label, -1)\n elif DRAW_MODE == \"line\":\n # line drawing is done in the line-mode keypress handler (keydown())\n pass","def ev_mousemotion(self, event: tcod.event.MouseMotion) -> T | None:","def on_mouse_motion(self, x, y, dx, dy):\n if self.exclusive:\n self.gamestatemanager.peek().on_mouse_motion(x, y, dx, dy)","def on_mouse_release(self, x, y, button):\n pass","def mouseMoveEvent(self, e):\r\n \r\n self.label.setText('mouseMoveEvent')","def handle_mouse_data(data):\n pass","def cursorPositionChanged(self):\r\n cursor = self.text_area.textCursor()\r\n line_no = cursor.blockNumber()\r\n col_no = cursor.columnNumber()\r\n self.statusBar.showMessage(\"Line \"+str(line_no)+\", Column \"+str(col_no))","def OnSetCursor(self, event):\r\n \r\n # determine cursor\r\n part = self.HitTest(event.GetX(), event.GetY())\r\n cursor = wx.NullCursor\r\n\r\n if part:\r\n if part.type in [AuiDockUIPart.typeDockSizer, AuiDockUIPart.typePaneSizer]:\r\n\r\n if not self.CheckMovableSizer(part):\r\n return\r\n \r\n if part.orientation == wx.VERTICAL:\r\n cursor = wx.StockCursor(wx.CURSOR_SIZEWE)\r\n else:\r\n cursor = wx.StockCursor(wx.CURSOR_SIZENS)\r\n \r\n elif part.type == AuiDockUIPart.typeGripper:\r\n cursor = wx.StockCursor(wx.CURSOR_SIZING)\r\n\r\n event.SetCursor(cursor)","def move( self, event ):\n self.lastMotion = time()\n if self.follow == False: # If the follow flag is not set, motion within the widget will make the ToolTip dissapear\n self.withdraw()\n self.visible = 1\n self.geometry( '+%i+%i' % ( event.x_root+10, event.y_root+10 ) ) # Offset the ToolTip 10x10 pixes southwest of the pointer\n try:\n self.msgVar.set( self.msgFunc() ) # Try to call the message function. Will not change the message if the message function is None or the message function fails\n except:\n pass\n self.after( int( self.delay * 1000 ), self.show )","def move(self, event):\r\n self.lastMotion = time()\r\n # If the follow flag is not set, motion within the\r\n # widget will make the ToolTip disappear\r\n #\r\n if self.follow is False:\r\n self.withdraw()\r\n self.visible = 1\r\n\r\n # Offset the ToolTip 10x10 pixes southwest of the pointer\r\n self.geometry('+%i+%i' % (event.x_root+20, event.y_root-10))\r\n try:\r\n # Try to call the message function. Will not change\r\n # the message if the message function is None or\r\n # the message function fails\r\n self.msgVar.set(self.msgFunc())\r\n except:\r\n pass\r\n self.after(int(self.delay * 1000), self.show)","def move(self, event):\r\n self.lastMotion = time()\r\n # If the follow flag is not set, motion within the\r\n # widget will make the ToolTip disappear\r\n #\r\n if self.follow is False:\r\n self.withdraw()\r\n self.visible = 1\r\n\r\n # Offset the ToolTip 10x10 pixes southwest of the pointer\r\n self.geometry('+%i+%i' % (event.x_root+20, event.y_root-10))\r\n try:\r\n # Try to call the message function. Will not change\r\n # the message if the message function is None or\r\n # the message function fails\r\n self.msgVar.set(self.msgFunc())\r\n except:\r\n pass\r\n self.after(int(self.delay * 1000), self.show)","def OnMoveEvent(self, event):\r\n\r\n win_rect = self.GetRect()\r\n\r\n if win_rect == self._last_rect:\r\n return\r\n\r\n # skip the first move event\r\n if self._last_rect.IsEmpty(): \r\n self._last_rect = wx.Rect(*win_rect)\r\n return\r\n \r\n # skip if moving too fast to avoid massive redraws and\r\n # jumping hint windows\r\n if abs(win_rect.x - self._last_rect.x) > 3 or abs(win_rect.y - self._last_rect.y) > 3:\r\n self._last3_rect = wx.Rect(*self._last2_rect)\r\n self._last2_rect = wx.Rect(*self._last_rect)\r\n self._last_rect = wx.Rect(*win_rect)\r\n return\r\n\r\n # prevent frame redocking during resize\r\n if self._last_rect.GetSize() != win_rect.GetSize():\r\n self._last3_rect = wx.Rect(*self._last2_rect)\r\n self._last2_rect = wx.Rect(*self._last_rect)\r\n self._last_rect = wx.Rect(*win_rect)\r\n return\r\n\r\n self._last3_rect = wx.Rect(*self._last2_rect)\r\n self._last2_rect = wx.Rect(*self._last_rect)\r\n self._last_rect = wx.Rect(*win_rect)\r\n\r\n if _VERSION_STRING < \"2.9\":\r\n leftDown = wx.GetMouseState().LeftDown()\r\n else:\r\n leftDown = wx.GetMouseState().LeftIsDown()\r\n\r\n if not leftDown:\r\n return\r\n\r\n if not self._moving: \r\n self.OnMoveStart(event)\r\n self._moving = True\r\n\r\n if self._last3_rect.IsEmpty():\r\n return\r\n\r\n self.OnMoving(event)","def update(self):\r\n self.x = games.mouse.x\r\n self.y = games.mouse.y\r\n self.check_collide()","def ev_MOUSEUP(self, event):","def handle_event(self, event):\n if event.type != MOUSEMOTION:\n return\n self.model.slider.left = event.pos[0]","def mouse_middle_down(self):\n pass","def update(self):\n self.x = games.mouse.x\n self.y = games.mouse.y\n self.check_collide()","def cursor_placement_thread(self):\r\n while self.editing:\r\n # pylint: disable=W0212\r\n with goxapi.Signal._lock:\r\n curses.curs_set(2)\r\n self.win.touchwin()\r\n self.win.refresh()\r\n time.sleep(0.1)\r\n curses.curs_set(0)","def mouseMoveEvent(self, event):\n if self.view_state.tracking == TrackingMode.FREE and event.buttons() == QtCore.Qt.LeftButton:\n # Calculate the change in mouse position.\n new_mouse_pos = np.array([event.x(), event.y()])\n mouse_delta = new_mouse_pos - self.view_state.mouse\n\n # Add this to the view centre.\n self.view_state.centre = self.view_state.centre - mouse_delta * (1 / self.view_state.scale)\n self.view_state.mouse = new_mouse_pos","def _updateOnMouseState(self, state):\n x = state.X.abs\n y = state.Y.abs\n \n mscale = self.mouse_icon.getScale() \n \n if (x + mscale[0] + self.mouse_offset) > render_engine.Window.width:\n x = x - mscale[0] - 10\n else:\n x += self.mouse_offset\n \n if (y + mscale[1] + self.mouse_offset) > render_engine.Window.height:\n y = y - mscale[1] - 10\n else:\n y += self.mouse_offset\n \n self.mouse_icon.setPosition((x, y))","def move(self, event):\n self.lastMotion = time()\n # If the follow flag is not set, motion within the\n # widget will make the ToolTip disappear\n #\n if self.follow is False:\n self.withdraw()\n self.visible = 1\n\n # Offset the ToolTip 10x10 pixes southwest of the pointer\n self.geometry('+%i+%i' % (event.x_root+20, event.y_root-10))\n try:\n # Try to call the message function. Will not change\n # the message if the message function is None or\n # the message function fails\n self.msgVar.set(self.msgFunc())\n except:\n pass\n self.after(int(self.delay * 1000), self.show)","def mouseMoveEvent(self, event):\n self.setCursor(qtc.Qt.SizeVerCursor)\n\n multiplier = self.singleStep()\n valueOffset = ((self.mouseStartPosY - event.pos().y()) * multiplier)\n value = self.startValue + valueOffset\n\n if value != self.current_value:\n self.current_value = value\n self.setValue(self.current_value)","def change_cursor(self, cursor):\n self.setCursor(cursor)","def on_mouse_motion(self, x: float, y: float, dx: float, dy: float):\n if self.player_enabled:\n super().on_mouse_motion(x, y, dx, dy)","def setCursor(self, _name = None):\n\n\t\t_before = self._cursor\n\t\tself._cursor = _name\n\t\tif _before != _name:\n\t\t\tself._updated.append(tuple(self.rect))\n\t\t\tself.updateCursor()\n\t\t\tself._updated.append(tuple(self.rect))","def ev_windowmoved(self, event: WindowMoved) -> None:","def hoverMoveEvent(self, event):\n activeTool = self._activeTool()\n toolMethodName = str(activeTool) + \"HoverMove\"\n if hasattr(self, toolMethodName):\n getattr(self, toolMethodName)(event.pos())","def do_motion_notify_event(self, event):\n\t\t# if this is a hint, then let's get all the necessary \n\t\t# information, if not it's all we need.\n\t\tif event.is_hint:\n\t\t\tx, y, state = event.window.get_pointer()\n\t\telse:\n\t\t\tx = event.x\n\t\t\ty = event.y\n\t\t\tstate = event.state\n\t\t\n\t\t# Update box underneath cursor, for tooltip\n\t\tix, iy = icoords = self.widget2imgcoords(x,y)\n\t\tif __debug__: \n\t\t\tsys.stdout.write(repr((x,y))+' '+repr(icoords)+'\\r')\n\t\t\tsys.stdout.flush()\n\t\t# Update the box cache\n\t\tif self._update_boxes(*icoords):\n\t\t\t# Cache changed, update tooltips\n\t\t\tself.set_tooltip_text(self.get_tooltip_text(self._boxes_under_cursor)) #XXX: Why is this needed to get the tooltip to query?\n\t\t\tself.trigger_tooltip_query()\n\t\t\n\t\tif self.mode == self.INSERT and self._insert_start_coords is not None and state & gtk.gdk.BUTTON1_MASK:\n\t\t\t# Adjust temporary box (for use in insertion)\n\t\t\tnr = pt2rect(icoords, self._insert_start_coords)\n\t\t\tredraw = nr.union(self._temporary_box.rect)\n\t\t\tself._temporary_box.rect = nr\n\t\t\t#self.queue_draw_area(*self.rect2widget(redraw))\n\t\t\tself.queue_draw() #REDRAW: If we implement partial redraw, fix this\n\t\t\t#XXX: Should we draw immediately instead of queueing one?\n\t\t\tself.emit('insert-box-changed', self._temporary_box)\n\t\telif self._box_is_resizing is not None and state & gtk.gdk.BUTTON1_MASK:\n\t\t\t# Update the size of the box we're resizing\n\t\t\td = self._box_is_resizing_dir\n\t\t\tb = self._box_is_resizing\n\t\t\tr = frect(*b.rect)\n\t\t\tobox = frect(*b.rect)\n\t\t\tif 'W' in d:\n\t\t\t\tr.x = ix\n\t\t\t\tr.width = self._box_resize_east - r.x # Use r.x because it's pre-rounded\n\t\t\telif 'E' in d:\n\t\t\t\tr.width = (ix - r.x)\n\t\t\tif 'N' in d:\n\t\t\t\tr.y = iy\n\t\t\t\tr.height = self._box_resize_south - r.y # Use r.y because it's pre-rounded\n\t\t\telif 'S' in d:\n\t\t\t\tr.height = (iy - r.y)\n\t\t\tb.rect = r\n#\t\t\tif __debug__: print \"Resizing: %r (%r,%r) (%r,%r) %r->%r\" % (d, x,y, ix,iy, list(obox), list(b.rect))\n\t\t\t#self.queue_draw_area(*self.rect2widget(obox.union(b.rect)))\n\t\t\tself.queue_draw() #REDRAW: If we implement partial redraw, fix this\n\t\t\t#XXX: Should we draw immediately instead of queueing one?\n\t\telif not state & (gtk.gdk.BUTTON1_MASK | gtk.gdk.BUTTON2_MASK | \n\t\t\t\tgtk.gdk.BUTTON3_MASK | gtk.gdk.BUTTON4_MASK | \n\t\t\t\tgtk.gdk.BUTTON5_MASK): # Hover\n\t\t\t# Update the current cursor icon\n\t\t\tboxes = tuple(self.find_boxes_coord_near(*icoords)) #FIXME: Use cache\n\t\t\tif len(boxes):\n\t\t\t\t#if __debug__: print \"Nearby Boxes: %r\" % (boxes,)\n\t\t\t\tbox, dir = boxes[0]\n\t\t\t\tself._box_may_resize = box\n\t\t\t\tself._box_may_resize_dir = dir\n\t\t\t\tself.window.set_cursor(gtk.gdk.Cursor(self.window.get_display(), self.RESIZE_CURSORS[dir]))\n\t\t\telse:\n\t\t\t\tself._box_may_resize = self._box_may_resize_dir = None\n\t\t\t\tself.window.set_cursor(None)","def ev_MOUSEDOWN(self, event):","def on_eventBox_motion_notify_event(self, widget, data=None):\n\n if self.enabled == True:\n found = False\n for m in self.map:\n x1, y1, x2, y2, xpage, xpart = m\n if x1 <= data.x <= x2 and y1 <= data.y <= y2:\n found = True\n break\n if found == True:\n widget.window.set_cursor(gtk.gdk.Cursor(gtk.gdk.HAND1))\n else:\n widget.window.set_cursor(None)","def mouseMoveEvent(self, e):\n if e.pos().y() == self._offset:\n return\n adder = (self._offset - e.y())\n self.deltacount += adder\n adder *= (abs(adder) * 0.01)\n f = self._max[0] - self._min[0]\n self._state[0] = min(self._max[0], max(self._min[0], self._state[0] + (adder * f / 1000.0)))\n self._param.update()\n QtGui.QCursor.setPos(self._origo)","def update(self):\n self.x = games.mouse.x\n #self.y = games.mouse.y\n self.check_collide()","def mouseMoveEvent(self, e):\n if e.pos().y() == self.offset:\n return\n adder = (self.offset - e.y())\n self.deltacount += adder\n #adder *= self.accelerator\n adder *= (abs(adder) * 0.01)\n #self._state[0] = max(self._min[0], min(self._max[0], self._state[0] + adder))\n QtGui.qApp.emit( QtCore.SIGNAL(\"deltaChanged\"), self, adder)\n #self._param.update()\n QtGui.QCursor.setPos(self.origo)","def on_mouse_motion(self, x, y, dx, dy):\n # hazlo aparecer donde este mi jugador en el mouse\n self.player_sprite.center_x = x\n self.player_sprite.center_y = y","def on_mouse_leave (self, event):\n\n\t\tif not self.clicked:\n\n\t\t\tself.cursor_position = [-1,-1]\n\t\t\tself.redraw_canvas()\n\t\t\tself.hide_tip()#self.timer1 = gobject.timeout_add(2000, self.hide_tip)","def onMove(self, event):\n\n # get current mouse position\n (x, y) = event.GetPositionTuple()\n\n self.handleMousePositionCallback((x, y))\n\n if event.Dragging() and event.LeftIsDown():\n # are we doing box select?\n if self.is_box_select:\n # set select box point 2 at mouse position\n (self.sbox_w, self.sbox_h) = (x - self.sbox_1_x,\n y - self.sbox_1_y)\n elif not self.last_drag_x is None:\n # no, just a map drag\n self.was_dragging = True\n dx = self.last_drag_x - x\n dy = self.last_drag_y - y\n\n # move the map in the view\n self.view_offset_x += dx\n self.view_offset_y += dy\n\n # limit drag at edges of map\n if self.map_width > self.view_width:\n # if map > view, don't allow edge to show background\n if self.view_offset_x < 0:\n self.view_offset_x = 0\n elif self.view_offset_x > self.max_x_offset:\n self.view_offset_x = self.max_x_offset\n else:\n # else map < view, centre X\n self.view_offset_x = (self.map_width - self.view_width)/2\n\n if self.map_height > self.view_height:\n # if map > view, don't allow edge to show background\n if self.view_offset_y < 0:\n self.view_offset_y = 0\n elif self.view_offset_y > self.max_y_offset:\n self.view_offset_y = self.max_y_offset\n else:\n # else map < view, centre Y\n self.view_offset_y = (self.map_height - self.view_height)/2\n\n # adjust remembered X,Y\n self.last_drag_x = x\n self.last_drag_y = y\n\n self.recalc_view_lonlat_limits()\n\n # redraw client area\n self.drawTilesLayers()"],"string":"[\n \"def mouse_move_callback(self, event):\\n # TODO drag and drop figuriek\\n print(\\\"moving at \\\", event.x + self.offset_x, event.y + self.offset_y)\",\n \"def on_mouse_motion(self, x, y, delta_x, delta_y):\\r\\n pass\",\n \"def __mouseMoved(self, x, y):\\n # Are we on the bounding box?\\n if pointOnBox(x, y, self.currentBox, thickness=self.__THICKNESS):\\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\\n cursor = [\\n wx.CURSOR_SIZENWSE,\\n wx.CURSOR_SIZENS,\\n wx.CURSOR_SIZENESW,\\n wx.CURSOR_SIZEWE,\\n wx.CURSOR_SIZENWSE,\\n wx.CURSOR_SIZENS,\\n wx.CURSOR_SIZENESW,\\n wx.CURSOR_SIZEWE\\n ] [position]\\n self.__setCursor(cursor)\\n elif pointInBox(x, y, self.currentBox):\\n self.__setCursor(wx.CURSOR_HAND)\\n else:\\n self.__setCursor()\",\n \"def on_mouse_motion(x, y, dx, dy):\\n if in_box(x, y):\\n # Change the cursor if inside the box.\\n self.window.set_mouse_cursor(self.hand_cursor)\\n else:\\n self.window.set_mouse_cursor(self.default_cursor)\",\n \"def moveCursor(self):\\n\\n\\t\\tself._before = self.rect.center\\n\\t\\tself.rect.center = self._pos\",\n \"def on_mouse_motion(self, x, y, delta_x, delta_y):\\n \\n pass\",\n \"def handle_mouse(self, x, y):\\n pass\",\n \"def on_mouse_move(self, event: PointEvent):\\n self.x = event.x\\n self.y = event.y\\n self.handle_mouse(self.x, self.y)\",\n \"def handle_mouse(self, x, y):\\n self.x = x\\n self.y = y\\n global _pending_handle_mouse\\n if not _pending_handle_mouse:\\n _pending_handle_mouse = True\\n if self.fig.document is not None:\\n self.fig.document.add_timeout_callback(self.handle_mouse_callback, 100)\\n else:\\n self.handle_mouse_callback()\",\n \"def __master_cursor_pos_callback(self, glfw_window, xpos, ypos):\\n # flip glfw window space to match OGL space(like texture that has bottom left origin)\\n ypos = self.window.glyph.size[1] - ypos\\n\\n # update values\\n self.__pos_instant = Vec(xpos, ypos, 0)\\n self.__accel = self.__pos_instant - self.__pos_prev\\n self.__pos_prev = self.__pos_instant\\n\\n # call registered callbacks\\n self.call_cursor_pos_callback(glfw_window, *self.__pos_instant.xy, mouse=self)\",\n \"def _motion(self, event):\\n if self.current:\\n # modify the current line by changing the end coordinates\\n # to be the current mouse position\\n coords = event.widget.coords(self.current)\\n coords[2] = event.x\\n coords[3] = event.y\\n\\n event.widget.coords(self.current, *coords)\",\n \"def ev_mousemotion(self, event: MouseMotion) -> None:\",\n \"def grab(self, event):\\n self.ypos = event.y\\n self.xpos = event.x\\n self.config(cursor='fleur')\",\n \"def ev_MOUSEMOTION(self, event):\",\n \"def mousePosition(self):\",\n \"def mouseEvent(self, widget, event):\\n # Zoom in and out with the middle and right mouse buttons\\n if event.type == gtk.gdk.BUTTON_PRESS:\\n if event.button == 2:\\n self.ruler.zoom(2)\\n elif event.button == 3:\\n self.ruler.zoom(0.5)\\n\\n # Use the ruler widget's coordinate system to update the time cursor\\n x, y, mask = self.ruler.canvas.window.get_pointer()\\n scroll = self.ruler.canvas.get_scroll_offsets()[0]\\n t = (x + scroll) / self.ruler.scale\\n self.cursor.value = t\\n\\n # If the mouse button is down, try to find the canvas item under the cursor.\\n # We use the row's collision detection tree for this, for the same reason\\n # we use it for everything else: gnome-canvas' built-in collision detection\\n # works poorly on very small items.\\n if mask & gtk.gdk.BUTTON1_MASK:\\n\\n # Search every row in every canvas\\n for obj in self.canvasList:\\n y = obj.canvas.get_pointer()[1]\\n for row in obj.rows:\\n if y >= row.top and y <= row.bottom:\\n\\n # Give a few pixels of slack on either side\\n slack = 2.0 / self.ruler.scale\\n cursorInterval = (t - slack, t + slack)\\n\\n # The mouse is in this row. Use the row's collision detection\\n # to find a nearby item.\\n tag = row.intervalOccupied(*cursorInterval)\\n if tag and tag[0] != self.hilightWidget:\\n self.notifyHilightChanged(tag[0].dataTransaction)\\n self.setHilightWidget(tag[0])\\n return False\\n return False\",\n \"def __handleMouseEvents(self, event):\\n if not self.enabled:\\n return\\n\\n x, y = event.GetPosition()\\n\\n # First make sure we have started a box.\\n if self.currentBox == None and not event.LeftDown():\\n # No box started yet. Set cursor to the initial kind.\\n self.__setCursor(wx.CURSOR_CROSS)\\n return\\n\\n if event.LeftDown():\\n if self.currentBox == None:\\n # No RB Box, so start a new one.\\n self.currentBox = (x, y, 0, 0)\\n self.hasLetUp = 0\\n elif self.__isSizingCursor():\\n # Starting a sizing operation. Change the origin.\\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\\n self.currentBox = self.__denormalizeBox(position, self.currentBox)\\n\\n elif event.Dragging() and event.LeftIsDown():\\n # Use the cursor type to determine operation\\n if self.__isMovingCursor():\\n if self.currentlyMoving or pointInBox(x, y, self.currentBox):\\n if not self.currentlyMoving:\\n self.currentlyMoving = (x - self.currentBox[0], y - self.currentBox[1])\\n self.__moveTo(x - self.currentlyMoving[0], y - self.currentlyMoving[1])\\n elif self.__isSizingCursor():\\n self.__resizeBox(x, y)\\n\\n elif event.LeftUp():\\n self.hasLetUp = 1\\n self.currentlyMoving = None\\n self.__normalizeBox()\\n\\n elif event.Moving() and not event.Dragging():\\n # Simple mouse movement event\\n self.__mouseMoved(x,y)\",\n \"def _update_cursor(self) -> None:\\n # get the brush size (get a local reference in case another process\\n # changes it between the different accesses in this method)\\n brush_size = self.brush_size\\n # if there is not update, return\\n if not self.is_cursor_change:\\n return\\n # otherwise dequeue the update\\n self.is_cursor_change = False\\n # make a static border ring for the cursor\\n ring = make_ring(brush_size - 1, brush_size)\\n cursor = make_cursor(ring, self._brush_border_color)\\n # make a circle with the current color\\n brush_circle = make_circle(brush_size) - ring\\n cursor = cursor + make_cursor(brush_circle, self._color)\\n # create the pyglet cursor object and set it\\n mouse = pyglet_cursor(cursor)\\n self._view.set_cursor(mouse)\",\n \"def move_start(event):\\n nonlocal x, y\\n x = event.x \\n y = event.y\\n window['cursor'] = utils.CURSORS['move_item']\",\n \"def mouse_position_event(self, x: int, y: int):\\n pass\",\n \"def mouseMoveEvent(self, event):\\n self.end = event.pos()\\n self.update()\",\n \"def handle_mouse(obj, event):\\n if event:\\n x = event.globalX()\\n y = event.globalY()\\n x_w = obj.offset.x()\\n y_w = obj.offset.y()\\n obj.move(x - x_w, y - y_w)\",\n \"def _onmove(self, event):\",\n \"def on_mouse_move(self, event):\\n self.mouse = [event.xdata, event.ydata]\\n\\n # Update pan view on mouse move\\n if self.panning is True:\\n for a in self.pan_axes:\\n a.drag_pan(1, event.key, event.x, event.y)\\n\\n # Async re-draw (redraws only on thread idle state, uses timer on backend)\\n self.canvas.draw_idle()\\n\\n ##### Temporary place-holder for cached update #####\\n self.update_screen_request.emit([0, 0, 0, 0, 0])\",\n \"def on_mouse_move(self, win, xpos, ypos):\\n old = self.mouse\\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\\n self.drag(old, self.mouse, glfw.get_window_size(win))\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\\n self.pan(old, self.mouse)\",\n \"def on_mouse_move(self, win, xpos, ypos):\\n old = self.mouse\\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\\n self.drag(old, self.mouse, glfw.get_window_size(win))\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\\n self.pan(old, self.mouse)\",\n \"def _hover(self, event):\\n if self.ignore(event):\\n return\\n\\n if self._active_handle is not None or not self._selection_completed:\\n # Do nothing if button is pressed and a handle is active, which may\\n # occur with drag_from_anywhere=True.\\n # Do nothing if selection is not completed, which occurs when\\n # a selector has been cleared\\n return\\n\\n _, e_dist = self._edge_handles.closest(event.x, event.y)\\n self._set_cursor(e_dist <= self.grab_range)\",\n \"def OnMouseMotion(self, evt):\\n if evt.Dragging() and evt.LeftIsDown():\\n self.lastx, self.lasty = self.x, self.y\\n self.x, self.y = evt.GetPosition()\\n self.Refresh(False)\",\n \"def update(self):\\n self.mousePos = pygame.mouse.get_pos()\\n self.update_button_hover_status()\",\n \"def setMousePositionCallback(self, callback):\\n\\n self.mouse_position_callback = callback\",\n \"def mouseDragged(self, point, delta):\\n pass\",\n \"def on_mouse_move(self, event):\\n if event.is_dragging and event.buttons[0] == 1:\\n x0, y0 = event.last_event.pos[0], event.last_event.pos[1]\\n x1, y1 = event.pos[0], event.pos[1]\\n X0, Y0, Z0 = self.pixel_to_coords(float(x0), float(y0))\\n X1, Y1, Z1 = self.pixel_to_coords(float(x1), float(y1))\\n self.translate_center(X1 - X0, Y1 - Y0, Z1 - Z0)\",\n \"def mouseMoveEvent(self, event):\\n # super(PlotWidget, self).mouseMoveEvent(event)\\n event.accept()\",\n \"def _on_canvas_mouse(self, event):\\n if event.GetEventType() in [wx.wxEVT_MOTION, wx.wxEVT_LEFT_DOWN, \\n wx.wxEVT_LEFT_UP, wx.wxEVT_MOTION|wx.wxEVT_LEFT_DOWN]:\\n new_event = wx.MouseEvent(event.GetEventType())\\n pos = self.tc.ScreenToClient(wx.GetMousePosition())\\n new_event.SetPosition(pos)\\n new_event.Skip()\\n self.tc.GetEventHandler().ProcessEvent(new_event)\",\n \"def on_mouse_motion(self, x, y, delta_x, delta_y):\\n\\n print(x)\\n print(y)\\n print(delta_x)\\n print(delta_y)\\n\\n\\n #self.manage_crosshair()\\n \\n \\n\\n #self.crosshair_sprite.center_x += delta_x\\n #self.crosshair_sprite.center_y += delta_y\\n\\n\\n self.crosshair_relative_xoffset += delta_x\\n self.crosshair_relative_yoffset += delta_y\",\n \"def mouse_move(self, pos):\\n if (self.setup_type == \\\"position\\\"):\\n x, y = pos\\n self.canvas.move(x, y)\",\n \"def mouseReleaseEvent(self, event):\\n width = self.frameGeometry().width()\\n height = self.frameGeometry().height()\\n cursor = QtGui.QCursor()\\n new_pos = self.mapFromGlobal(cursor.pos())\\n x = new_pos.x()\\n y = new_pos.y()\\n self.__selector_y = y/float(height) # normalized value of the y position\\n \\tself.__selector_x = x/float(width) #normalised value of the x position\\n self.updatePixelColor()\\n self.repaint()\",\n \"def handle_mouse_press(self, event):\",\n \"def update(self):\\n # Get the current mouse position. This returns the position\\n # as a list of two numbers.\\n pos = pygame.mouse.get_pos()\\n\\n # Set the player x position to the mouse x position\\n self.rect.x = pos[0]\",\n \"def motion_notify_cb(self, darea, event):\\n if event.is_hint:\\n x, y, state = event.window.get_pointer()\\n else:\\n x = event.x\\n y = event.y\\n state = event.state\\n if state & gdk.BUTTON1_MASK or state & gdk.BUTTON3_MASK:\\n self.draw_pointer(self.cr, x, y)\\n self.queue_draw()\\n self.oldx, self.oldy = x, y\\n rel_x, rel_y = self.absolute_to_relative(x, y)\\n self.emit('dnd-value', rel_x, rel_y)\\n return True\",\n \"def mousePressEvent(self, event):\\n self.begin = event.pos()\\n self.end = event.pos()\\n self.update()\",\n \"def moveCursor(self, QAbstractItemView_CursorAction, Qt_KeyboardModifiers): # real signature unknown; restored from __doc__\\r\\n pass\",\n \"def update(self):\\n # Get the current mouse position. This returns the position\\n # as a list of two numbers.\\n pos = pygame.mouse.get_pos()\\n \\n # Set the player x position to the mouse x position\\n self.rect.x = pos[0]\",\n \"def append_cursor_pos_callback(self, callbacked, *args, **kwargs):\\n pass\",\n \"def append_cursor_enter_callback(self):\",\n \"def _(event):\\n system_line.cursor_left()\",\n \"def emitMouseMoveEvent(self, location, currentKbKey, draggedItems, items):\\n # emit the mouseMoveEvent signal\\n self.mouseMove.emit(self, location, currentKbKey, draggedItems, items)\",\n \"def watchCursor(self, cursor):\\n cursor.observers.append(self._cursorCallback)\",\n \"def handle_mousemotion(self, change):\\r\\n if widget.Widget.handle_mousemotion(self, change):\\r\\n app.App.handle_mousemotion(self, change)\\r\\n return True\\r\\n return False\",\n \"def handleMousePositionCallback(self, xy):\\n\\n if self.mouse_position_callback:\\n (x, y) = xy\\n posn = self.convertView2Geo(x, y)\\n self.mouse_position_callback(posn)\",\n \"def cursor_cb(self, scene_pos):\\n if self.is_within_image(scene_pos):\\n pos = self.vb_image.mapSceneToView(scene_pos)\\n\\n self.cursor_v.setPos(pos)\\n self.cursor_h.setPos(pos)\\n self.cursor_text.setText(\\n \\\"({:.1f}, {:.1f}) px\\\".format(pos.x(), pos.y()))\\n if self._mark is not None:\\n delta = pos - self._mark\\n self.cursor_delta.setPos(pos)\\n self.cursor_delta.setText(\\n \\\"Δ = ({:.1f}, {:.1f}) μm\\\".format(\\n self.px_to_um(delta.x()), self.px_to_um(delta.y())))\\n\\n self.cursor_v.show()\\n self.cursor_h.show()\\n self.cursor_text.show()\\n self.cursor_delta.show()\\n\\n elif self.is_within_zoom(scene_pos):\\n pos = self.vb_zoom.mapSceneToView(scene_pos)\\n\\n if self._up is not None:\\n self.zoom_text.setPos(pos)\\n self.zoom_text.setText(\\\"I = {:.0f}\\\".format(\\n self.zoom.image[int(pos.x()), int(pos.y())]))\\n self.zoom_text.show()\\n\\n elif self.is_within_residuals(scene_pos):\\n pos = self.vb_residuals.mapSceneToView(scene_pos)\\n\\n if self._up is not None:\\n self.residuals_text.setPos(pos)\\n self.residuals_text.setText(\\\"r = {:.2f}\\\".format(\\n self.residuals.image[int(pos.x()),int(pos.y())]))\\n self.residuals_text.show()\\n\\n else:\\n for w in [self.cursor_v, self.cursor_h,\\n self.cursor_text, self.cursor_delta,\\n self.zoom_text, self.residuals_text]:\\n w.hide()\",\n \"def mouseMoveEvent(self, event):\\n if self._ignore_mouse_events:\\n event.ignore()\\n return\\n\\n event.accept()\\n\\n if self._selection_mode != SelectionMode.NONE:\\n x = event.x()\\n y = event.y()\\n xdiff = float(x - self._selection_position_start[0])\\n ydiff = float(y - self._selection_position_start[1])\\n if abs(xdiff) < 0.0001:\\n xdiff = 1\\n if abs(ydiff) < 0.0001:\\n ydiff = 1\\n xoff = float(self._selection_position_start[0]) / xdiff + 0.5\\n yoff = float(self._selection_position_start[1]) / ydiff + 0.5\\n self._addUpdateSelectionBox(xdiff, ydiff, xoff, yoff)\\n\\n elif self._use_zinc_mouse_event_handling:\\n scene_input = self._sceneviewer.createSceneviewerinput()\\n scene_input.setPosition(event.x(), event.y())\\n scene_input.setEventType(Sceneviewerinput.EVENT_TYPE_MOTION_NOTIFY)\\n if event.type() == QtCore.QEvent.Leave:\\n scene_input.setPosition(-1, -1)\\n self._sceneviewer.processSceneviewerinput(scene_input)\",\n \"def mouseMoveEvent (self, event):\\n self.itemMoved = True\\n super(DiagramItem, self).mouseMoveEvent(event)\",\n \"def mouseDragged():\\n if mousePressed:\\n mousePressed()\",\n \"def on_mouse_movement(self, event: wx.MouseEvent) -> None:\\n if not event.Dragging():\\n self._drag_start_pos = None\\n return\\n # self.CaptureMouse()\\n if self._drag_start_pos is None:\\n self._drag_start_pos = event.GetPosition()\\n else:\\n current_pos = event.GetPosition()\\n change = self._drag_start_pos - current_pos\\n self.SetPosition(self.GetPosition() - change)\",\n \"def on_mouse_movement(self, event: wx.MouseEvent) -> None:\\n if not event.Dragging():\\n self._drag_start_pos = None\\n return\\n # self.CaptureMouse()\\n if self._drag_start_pos is None:\\n self._drag_start_pos = event.GetPosition()\\n else:\\n current_pos = event.GetPosition()\\n change = self._drag_start_pos - current_pos\\n self.SetPosition(self.GetPosition() - change)\",\n \"def __isMovingCursor(self):\\n return self.__currentCursor == wx.CURSOR_HAND\",\n \"def hoverMoveEvent(self, moveEvent):\\n if self.isSelected():\\n handle = None\\n if self.handle.contains(moveEvent.pos()):\\n handle = \\\"k\\\" # something not None\\n cursor = Qt.ArrowCursor if handle is None else Qt.SizeFDiagCursor\\n self.setCursor(cursor)\\n super().hoverMoveEvent(moveEvent)\",\n \"def OnMouse(self, event):\\n\\n self.Refresh()\\n event.Skip()\",\n \"def mousePositionRaw(self):\",\n \"def mousePositionRaw(self):\",\n \"def _onmove(self, event):\\n\\n # self._prev are deprecated but we still need to maintain it\\n self._prev = self._get_data(event)\\n\\n v = event.xdata if self.direction == 'horizontal' else event.ydata\\n if self.direction == 'horizontal':\\n vpress = self._eventpress.xdata\\n else:\\n vpress = self._eventpress.ydata\\n\\n # move existing span\\n # When \\\"dragging from anywhere\\\", `self._active_handle` is set to 'C'\\n # (match notation used in the RectangleSelector)\\n if self._active_handle == 'C' and self._extents_on_press is not None:\\n vmin, vmax = self._extents_on_press\\n dv = v - vpress\\n vmin += dv\\n vmax += dv\\n\\n # resize an existing shape\\n elif self._active_handle and self._active_handle != 'C':\\n vmin, vmax = self._extents_on_press\\n if self._active_handle == 'min':\\n vmin = v\\n else:\\n vmax = v\\n # new shape\\n else:\\n # Don't create a new span if there is already one when\\n # ignore_event_outside=True\\n if self.ignore_event_outside and self._selection_completed:\\n return\\n vmin, vmax = vpress, v\\n if vmin > vmax:\\n vmin, vmax = vmax, vmin\\n\\n self.extents = vmin, vmax\\n\\n if self.onmove_callback is not None:\\n self.onmove_callback(vmin, vmax)\\n\\n return False\",\n \"def update(self):\\n\\n\\t\\tself.x = games.mouse.x\\n\\t\\tself.y = games.mouse.y\\n\\t\\tself.check_collide()\",\n \"def handle_mouse(self, x, y):\\n self.last_x = x\\n self.last_y = y\\n if self.min_x is not None:\\n self.last_x = max(self.last_x, self.min_x)\\n if self.max_x is not None:\\n self.last_x = min(self.last_x, self.max_x)\\n # we are in region mode\\n if self.region_id is not None:\\n start = self.last_x\\n end = self.region_edge\\n self.region_model.adjust_region(self.region_id, start, end)\\n return False\",\n \"def on_mousemove(event, x, y, flags, userparam):\\n global mouse_pos\\n global source_img, source_msk, display_img\\n global DRAW_MODE\\n\\n if event == cv.EVENT_MOUSEMOVE:\\n mouse_pos = (x, y)\\n\\n if flags & cv.EVENT_FLAG_SHIFTKEY:\\n current_label = LABEL_BACKGROUND\\n else:\\n current_label = CURRENT_LABEL\\n\\n if DRAW_MODE == \\\"point\\\":\\n if flags & cv.EVENT_FLAG_CTRLKEY:\\n cv.circle(source_msk, (x, y), SHAPE_SIZE, current_label, -1)\\n elif DRAW_MODE == \\\"line\\\":\\n # line drawing is done in the line-mode keypress handler (keydown())\\n pass\",\n \"def ev_mousemotion(self, event: tcod.event.MouseMotion) -> T | None:\",\n \"def on_mouse_motion(self, x, y, dx, dy):\\n if self.exclusive:\\n self.gamestatemanager.peek().on_mouse_motion(x, y, dx, dy)\",\n \"def on_mouse_release(self, x, y, button):\\n pass\",\n \"def mouseMoveEvent(self, e):\\r\\n \\r\\n self.label.setText('mouseMoveEvent')\",\n \"def handle_mouse_data(data):\\n pass\",\n \"def cursorPositionChanged(self):\\r\\n cursor = self.text_area.textCursor()\\r\\n line_no = cursor.blockNumber()\\r\\n col_no = cursor.columnNumber()\\r\\n self.statusBar.showMessage(\\\"Line \\\"+str(line_no)+\\\", Column \\\"+str(col_no))\",\n \"def OnSetCursor(self, event):\\r\\n \\r\\n # determine cursor\\r\\n part = self.HitTest(event.GetX(), event.GetY())\\r\\n cursor = wx.NullCursor\\r\\n\\r\\n if part:\\r\\n if part.type in [AuiDockUIPart.typeDockSizer, AuiDockUIPart.typePaneSizer]:\\r\\n\\r\\n if not self.CheckMovableSizer(part):\\r\\n return\\r\\n \\r\\n if part.orientation == wx.VERTICAL:\\r\\n cursor = wx.StockCursor(wx.CURSOR_SIZEWE)\\r\\n else:\\r\\n cursor = wx.StockCursor(wx.CURSOR_SIZENS)\\r\\n \\r\\n elif part.type == AuiDockUIPart.typeGripper:\\r\\n cursor = wx.StockCursor(wx.CURSOR_SIZING)\\r\\n\\r\\n event.SetCursor(cursor)\",\n \"def move( self, event ):\\n self.lastMotion = time()\\n if self.follow == False: # If the follow flag is not set, motion within the widget will make the ToolTip dissapear\\n self.withdraw()\\n self.visible = 1\\n self.geometry( '+%i+%i' % ( event.x_root+10, event.y_root+10 ) ) # Offset the ToolTip 10x10 pixes southwest of the pointer\\n try:\\n self.msgVar.set( self.msgFunc() ) # Try to call the message function. Will not change the message if the message function is None or the message function fails\\n except:\\n pass\\n self.after( int( self.delay * 1000 ), self.show )\",\n \"def move(self, event):\\r\\n self.lastMotion = time()\\r\\n # If the follow flag is not set, motion within the\\r\\n # widget will make the ToolTip disappear\\r\\n #\\r\\n if self.follow is False:\\r\\n self.withdraw()\\r\\n self.visible = 1\\r\\n\\r\\n # Offset the ToolTip 10x10 pixes southwest of the pointer\\r\\n self.geometry('+%i+%i' % (event.x_root+20, event.y_root-10))\\r\\n try:\\r\\n # Try to call the message function. Will not change\\r\\n # the message if the message function is None or\\r\\n # the message function fails\\r\\n self.msgVar.set(self.msgFunc())\\r\\n except:\\r\\n pass\\r\\n self.after(int(self.delay * 1000), self.show)\",\n \"def move(self, event):\\r\\n self.lastMotion = time()\\r\\n # If the follow flag is not set, motion within the\\r\\n # widget will make the ToolTip disappear\\r\\n #\\r\\n if self.follow is False:\\r\\n self.withdraw()\\r\\n self.visible = 1\\r\\n\\r\\n # Offset the ToolTip 10x10 pixes southwest of the pointer\\r\\n self.geometry('+%i+%i' % (event.x_root+20, event.y_root-10))\\r\\n try:\\r\\n # Try to call the message function. Will not change\\r\\n # the message if the message function is None or\\r\\n # the message function fails\\r\\n self.msgVar.set(self.msgFunc())\\r\\n except:\\r\\n pass\\r\\n self.after(int(self.delay * 1000), self.show)\",\n \"def OnMoveEvent(self, event):\\r\\n\\r\\n win_rect = self.GetRect()\\r\\n\\r\\n if win_rect == self._last_rect:\\r\\n return\\r\\n\\r\\n # skip the first move event\\r\\n if self._last_rect.IsEmpty(): \\r\\n self._last_rect = wx.Rect(*win_rect)\\r\\n return\\r\\n \\r\\n # skip if moving too fast to avoid massive redraws and\\r\\n # jumping hint windows\\r\\n if abs(win_rect.x - self._last_rect.x) > 3 or abs(win_rect.y - self._last_rect.y) > 3:\\r\\n self._last3_rect = wx.Rect(*self._last2_rect)\\r\\n self._last2_rect = wx.Rect(*self._last_rect)\\r\\n self._last_rect = wx.Rect(*win_rect)\\r\\n return\\r\\n\\r\\n # prevent frame redocking during resize\\r\\n if self._last_rect.GetSize() != win_rect.GetSize():\\r\\n self._last3_rect = wx.Rect(*self._last2_rect)\\r\\n self._last2_rect = wx.Rect(*self._last_rect)\\r\\n self._last_rect = wx.Rect(*win_rect)\\r\\n return\\r\\n\\r\\n self._last3_rect = wx.Rect(*self._last2_rect)\\r\\n self._last2_rect = wx.Rect(*self._last_rect)\\r\\n self._last_rect = wx.Rect(*win_rect)\\r\\n\\r\\n if _VERSION_STRING < \\\"2.9\\\":\\r\\n leftDown = wx.GetMouseState().LeftDown()\\r\\n else:\\r\\n leftDown = wx.GetMouseState().LeftIsDown()\\r\\n\\r\\n if not leftDown:\\r\\n return\\r\\n\\r\\n if not self._moving: \\r\\n self.OnMoveStart(event)\\r\\n self._moving = True\\r\\n\\r\\n if self._last3_rect.IsEmpty():\\r\\n return\\r\\n\\r\\n self.OnMoving(event)\",\n \"def update(self):\\r\\n self.x = games.mouse.x\\r\\n self.y = games.mouse.y\\r\\n self.check_collide()\",\n \"def ev_MOUSEUP(self, event):\",\n \"def handle_event(self, event):\\n if event.type != MOUSEMOTION:\\n return\\n self.model.slider.left = event.pos[0]\",\n \"def mouse_middle_down(self):\\n pass\",\n \"def update(self):\\n self.x = games.mouse.x\\n self.y = games.mouse.y\\n self.check_collide()\",\n \"def cursor_placement_thread(self):\\r\\n while self.editing:\\r\\n # pylint: disable=W0212\\r\\n with goxapi.Signal._lock:\\r\\n curses.curs_set(2)\\r\\n self.win.touchwin()\\r\\n self.win.refresh()\\r\\n time.sleep(0.1)\\r\\n curses.curs_set(0)\",\n \"def mouseMoveEvent(self, event):\\n if self.view_state.tracking == TrackingMode.FREE and event.buttons() == QtCore.Qt.LeftButton:\\n # Calculate the change in mouse position.\\n new_mouse_pos = np.array([event.x(), event.y()])\\n mouse_delta = new_mouse_pos - self.view_state.mouse\\n\\n # Add this to the view centre.\\n self.view_state.centre = self.view_state.centre - mouse_delta * (1 / self.view_state.scale)\\n self.view_state.mouse = new_mouse_pos\",\n \"def _updateOnMouseState(self, state):\\n x = state.X.abs\\n y = state.Y.abs\\n \\n mscale = self.mouse_icon.getScale() \\n \\n if (x + mscale[0] + self.mouse_offset) > render_engine.Window.width:\\n x = x - mscale[0] - 10\\n else:\\n x += self.mouse_offset\\n \\n if (y + mscale[1] + self.mouse_offset) > render_engine.Window.height:\\n y = y - mscale[1] - 10\\n else:\\n y += self.mouse_offset\\n \\n self.mouse_icon.setPosition((x, y))\",\n \"def move(self, event):\\n self.lastMotion = time()\\n # If the follow flag is not set, motion within the\\n # widget will make the ToolTip disappear\\n #\\n if self.follow is False:\\n self.withdraw()\\n self.visible = 1\\n\\n # Offset the ToolTip 10x10 pixes southwest of the pointer\\n self.geometry('+%i+%i' % (event.x_root+20, event.y_root-10))\\n try:\\n # Try to call the message function. Will not change\\n # the message if the message function is None or\\n # the message function fails\\n self.msgVar.set(self.msgFunc())\\n except:\\n pass\\n self.after(int(self.delay * 1000), self.show)\",\n \"def mouseMoveEvent(self, event):\\n self.setCursor(qtc.Qt.SizeVerCursor)\\n\\n multiplier = self.singleStep()\\n valueOffset = ((self.mouseStartPosY - event.pos().y()) * multiplier)\\n value = self.startValue + valueOffset\\n\\n if value != self.current_value:\\n self.current_value = value\\n self.setValue(self.current_value)\",\n \"def change_cursor(self, cursor):\\n self.setCursor(cursor)\",\n \"def on_mouse_motion(self, x: float, y: float, dx: float, dy: float):\\n if self.player_enabled:\\n super().on_mouse_motion(x, y, dx, dy)\",\n \"def setCursor(self, _name = None):\\n\\n\\t\\t_before = self._cursor\\n\\t\\tself._cursor = _name\\n\\t\\tif _before != _name:\\n\\t\\t\\tself._updated.append(tuple(self.rect))\\n\\t\\t\\tself.updateCursor()\\n\\t\\t\\tself._updated.append(tuple(self.rect))\",\n \"def ev_windowmoved(self, event: WindowMoved) -> None:\",\n \"def hoverMoveEvent(self, event):\\n activeTool = self._activeTool()\\n toolMethodName = str(activeTool) + \\\"HoverMove\\\"\\n if hasattr(self, toolMethodName):\\n getattr(self, toolMethodName)(event.pos())\",\n \"def do_motion_notify_event(self, event):\\n\\t\\t# if this is a hint, then let's get all the necessary \\n\\t\\t# information, if not it's all we need.\\n\\t\\tif event.is_hint:\\n\\t\\t\\tx, y, state = event.window.get_pointer()\\n\\t\\telse:\\n\\t\\t\\tx = event.x\\n\\t\\t\\ty = event.y\\n\\t\\t\\tstate = event.state\\n\\t\\t\\n\\t\\t# Update box underneath cursor, for tooltip\\n\\t\\tix, iy = icoords = self.widget2imgcoords(x,y)\\n\\t\\tif __debug__: \\n\\t\\t\\tsys.stdout.write(repr((x,y))+' '+repr(icoords)+'\\\\r')\\n\\t\\t\\tsys.stdout.flush()\\n\\t\\t# Update the box cache\\n\\t\\tif self._update_boxes(*icoords):\\n\\t\\t\\t# Cache changed, update tooltips\\n\\t\\t\\tself.set_tooltip_text(self.get_tooltip_text(self._boxes_under_cursor)) #XXX: Why is this needed to get the tooltip to query?\\n\\t\\t\\tself.trigger_tooltip_query()\\n\\t\\t\\n\\t\\tif self.mode == self.INSERT and self._insert_start_coords is not None and state & gtk.gdk.BUTTON1_MASK:\\n\\t\\t\\t# Adjust temporary box (for use in insertion)\\n\\t\\t\\tnr = pt2rect(icoords, self._insert_start_coords)\\n\\t\\t\\tredraw = nr.union(self._temporary_box.rect)\\n\\t\\t\\tself._temporary_box.rect = nr\\n\\t\\t\\t#self.queue_draw_area(*self.rect2widget(redraw))\\n\\t\\t\\tself.queue_draw() #REDRAW: If we implement partial redraw, fix this\\n\\t\\t\\t#XXX: Should we draw immediately instead of queueing one?\\n\\t\\t\\tself.emit('insert-box-changed', self._temporary_box)\\n\\t\\telif self._box_is_resizing is not None and state & gtk.gdk.BUTTON1_MASK:\\n\\t\\t\\t# Update the size of the box we're resizing\\n\\t\\t\\td = self._box_is_resizing_dir\\n\\t\\t\\tb = self._box_is_resizing\\n\\t\\t\\tr = frect(*b.rect)\\n\\t\\t\\tobox = frect(*b.rect)\\n\\t\\t\\tif 'W' in d:\\n\\t\\t\\t\\tr.x = ix\\n\\t\\t\\t\\tr.width = self._box_resize_east - r.x # Use r.x because it's pre-rounded\\n\\t\\t\\telif 'E' in d:\\n\\t\\t\\t\\tr.width = (ix - r.x)\\n\\t\\t\\tif 'N' in d:\\n\\t\\t\\t\\tr.y = iy\\n\\t\\t\\t\\tr.height = self._box_resize_south - r.y # Use r.y because it's pre-rounded\\n\\t\\t\\telif 'S' in d:\\n\\t\\t\\t\\tr.height = (iy - r.y)\\n\\t\\t\\tb.rect = r\\n#\\t\\t\\tif __debug__: print \\\"Resizing: %r (%r,%r) (%r,%r) %r->%r\\\" % (d, x,y, ix,iy, list(obox), list(b.rect))\\n\\t\\t\\t#self.queue_draw_area(*self.rect2widget(obox.union(b.rect)))\\n\\t\\t\\tself.queue_draw() #REDRAW: If we implement partial redraw, fix this\\n\\t\\t\\t#XXX: Should we draw immediately instead of queueing one?\\n\\t\\telif not state & (gtk.gdk.BUTTON1_MASK | gtk.gdk.BUTTON2_MASK | \\n\\t\\t\\t\\tgtk.gdk.BUTTON3_MASK | gtk.gdk.BUTTON4_MASK | \\n\\t\\t\\t\\tgtk.gdk.BUTTON5_MASK): # Hover\\n\\t\\t\\t# Update the current cursor icon\\n\\t\\t\\tboxes = tuple(self.find_boxes_coord_near(*icoords)) #FIXME: Use cache\\n\\t\\t\\tif len(boxes):\\n\\t\\t\\t\\t#if __debug__: print \\\"Nearby Boxes: %r\\\" % (boxes,)\\n\\t\\t\\t\\tbox, dir = boxes[0]\\n\\t\\t\\t\\tself._box_may_resize = box\\n\\t\\t\\t\\tself._box_may_resize_dir = dir\\n\\t\\t\\t\\tself.window.set_cursor(gtk.gdk.Cursor(self.window.get_display(), self.RESIZE_CURSORS[dir]))\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself._box_may_resize = self._box_may_resize_dir = None\\n\\t\\t\\t\\tself.window.set_cursor(None)\",\n \"def ev_MOUSEDOWN(self, event):\",\n \"def on_eventBox_motion_notify_event(self, widget, data=None):\\n\\n if self.enabled == True:\\n found = False\\n for m in self.map:\\n x1, y1, x2, y2, xpage, xpart = m\\n if x1 <= data.x <= x2 and y1 <= data.y <= y2:\\n found = True\\n break\\n if found == True:\\n widget.window.set_cursor(gtk.gdk.Cursor(gtk.gdk.HAND1))\\n else:\\n widget.window.set_cursor(None)\",\n \"def mouseMoveEvent(self, e):\\n if e.pos().y() == self._offset:\\n return\\n adder = (self._offset - e.y())\\n self.deltacount += adder\\n adder *= (abs(adder) * 0.01)\\n f = self._max[0] - self._min[0]\\n self._state[0] = min(self._max[0], max(self._min[0], self._state[0] + (adder * f / 1000.0)))\\n self._param.update()\\n QtGui.QCursor.setPos(self._origo)\",\n \"def update(self):\\n self.x = games.mouse.x\\n #self.y = games.mouse.y\\n self.check_collide()\",\n \"def mouseMoveEvent(self, e):\\n if e.pos().y() == self.offset:\\n return\\n adder = (self.offset - e.y())\\n self.deltacount += adder\\n #adder *= self.accelerator\\n adder *= (abs(adder) * 0.01)\\n #self._state[0] = max(self._min[0], min(self._max[0], self._state[0] + adder))\\n QtGui.qApp.emit( QtCore.SIGNAL(\\\"deltaChanged\\\"), self, adder)\\n #self._param.update()\\n QtGui.QCursor.setPos(self.origo)\",\n \"def on_mouse_motion(self, x, y, dx, dy):\\n # hazlo aparecer donde este mi jugador en el mouse\\n self.player_sprite.center_x = x\\n self.player_sprite.center_y = y\",\n \"def on_mouse_leave (self, event):\\n\\n\\t\\tif not self.clicked:\\n\\n\\t\\t\\tself.cursor_position = [-1,-1]\\n\\t\\t\\tself.redraw_canvas()\\n\\t\\t\\tself.hide_tip()#self.timer1 = gobject.timeout_add(2000, self.hide_tip)\",\n \"def onMove(self, event):\\n\\n # get current mouse position\\n (x, y) = event.GetPositionTuple()\\n\\n self.handleMousePositionCallback((x, y))\\n\\n if event.Dragging() and event.LeftIsDown():\\n # are we doing box select?\\n if self.is_box_select:\\n # set select box point 2 at mouse position\\n (self.sbox_w, self.sbox_h) = (x - self.sbox_1_x,\\n y - self.sbox_1_y)\\n elif not self.last_drag_x is None:\\n # no, just a map drag\\n self.was_dragging = True\\n dx = self.last_drag_x - x\\n dy = self.last_drag_y - y\\n\\n # move the map in the view\\n self.view_offset_x += dx\\n self.view_offset_y += dy\\n\\n # limit drag at edges of map\\n if self.map_width > self.view_width:\\n # if map > view, don't allow edge to show background\\n if self.view_offset_x < 0:\\n self.view_offset_x = 0\\n elif self.view_offset_x > self.max_x_offset:\\n self.view_offset_x = self.max_x_offset\\n else:\\n # else map < view, centre X\\n self.view_offset_x = (self.map_width - self.view_width)/2\\n\\n if self.map_height > self.view_height:\\n # if map > view, don't allow edge to show background\\n if self.view_offset_y < 0:\\n self.view_offset_y = 0\\n elif self.view_offset_y > self.max_y_offset:\\n self.view_offset_y = self.max_y_offset\\n else:\\n # else map < view, centre Y\\n self.view_offset_y = (self.map_height - self.view_height)/2\\n\\n # adjust remembered X,Y\\n self.last_drag_x = x\\n self.last_drag_y = y\\n\\n self.recalc_view_lonlat_limits()\\n\\n # redraw client area\\n self.drawTilesLayers()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7342505","0.7273285","0.7090941","0.70634186","0.7034477","0.69676363","0.6943248","0.68984425","0.669294","0.659831","0.65874934","0.6549803","0.6516948","0.6500888","0.6497365","0.6471458","0.6461945","0.64583486","0.6448528","0.6439387","0.63827825","0.6339865","0.63394064","0.63264203","0.63040274","0.63040274","0.6294191","0.6292217","0.62897956","0.6275114","0.6256434","0.62540966","0.62476194","0.62473583","0.62395257","0.62332404","0.62240326","0.6189821","0.6180184","0.6166513","0.6152779","0.6139905","0.613767","0.6130255","0.6123355","0.61155677","0.6115425","0.6094332","0.6083725","0.6083417","0.6073236","0.6066993","0.6023811","0.6021578","0.60187143","0.60187143","0.6018018","0.5983891","0.5976568","0.5976197","0.5976197","0.5974011","0.5951451","0.5949799","0.5949049","0.5948798","0.5945873","0.59444124","0.59394956","0.592916","0.59259427","0.59179217","0.59129095","0.59128374","0.59128374","0.5910285","0.5909145","0.59012675","0.5896457","0.5895733","0.5894689","0.58929735","0.5870668","0.58639693","0.5860507","0.5858588","0.58515155","0.5846347","0.5830622","0.58124393","0.58104986","0.5801034","0.579941","0.57943857","0.57862514","0.57709384","0.5768258","0.5768086","0.5767833","0.5767529"],"string":"[\n \"0.7342505\",\n \"0.7273285\",\n \"0.7090941\",\n \"0.70634186\",\n \"0.7034477\",\n \"0.69676363\",\n \"0.6943248\",\n \"0.68984425\",\n \"0.669294\",\n \"0.659831\",\n \"0.65874934\",\n \"0.6549803\",\n \"0.6516948\",\n \"0.6500888\",\n \"0.6497365\",\n \"0.6471458\",\n \"0.6461945\",\n \"0.64583486\",\n \"0.6448528\",\n \"0.6439387\",\n \"0.63827825\",\n \"0.6339865\",\n \"0.63394064\",\n \"0.63264203\",\n \"0.63040274\",\n \"0.63040274\",\n \"0.6294191\",\n \"0.6292217\",\n \"0.62897956\",\n \"0.6275114\",\n \"0.6256434\",\n \"0.62540966\",\n \"0.62476194\",\n \"0.62473583\",\n \"0.62395257\",\n \"0.62332404\",\n \"0.62240326\",\n \"0.6189821\",\n \"0.6180184\",\n \"0.6166513\",\n \"0.6152779\",\n \"0.6139905\",\n \"0.613767\",\n \"0.6130255\",\n \"0.6123355\",\n \"0.61155677\",\n \"0.6115425\",\n \"0.6094332\",\n \"0.6083725\",\n \"0.6083417\",\n \"0.6073236\",\n \"0.6066993\",\n \"0.6023811\",\n \"0.6021578\",\n \"0.60187143\",\n \"0.60187143\",\n \"0.6018018\",\n \"0.5983891\",\n \"0.5976568\",\n \"0.5976197\",\n \"0.5976197\",\n \"0.5974011\",\n \"0.5951451\",\n \"0.5949799\",\n \"0.5949049\",\n \"0.5948798\",\n \"0.5945873\",\n \"0.59444124\",\n \"0.59394956\",\n \"0.592916\",\n \"0.59259427\",\n \"0.59179217\",\n \"0.59129095\",\n \"0.59128374\",\n \"0.59128374\",\n \"0.5910285\",\n \"0.5909145\",\n \"0.59012675\",\n \"0.5896457\",\n \"0.5895733\",\n \"0.5894689\",\n \"0.58929735\",\n \"0.5870668\",\n \"0.58639693\",\n \"0.5860507\",\n \"0.5858588\",\n \"0.58515155\",\n \"0.5846347\",\n \"0.5830622\",\n \"0.58124393\",\n \"0.58104986\",\n \"0.5801034\",\n \"0.579941\",\n \"0.57943857\",\n \"0.57862514\",\n \"0.57709384\",\n \"0.5768258\",\n \"0.5768086\",\n \"0.5767833\",\n \"0.5767529\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.64577484"},"document_rank":{"kind":"string","value":"18"}}},{"rowIdx":1493,"cells":{"query":{"kind":"string","value":"Called when a mouse is turned in the widget (and maybe for finger scrolling in the trackpad). Adjust method signature as appropriate for callback."},"document":{"kind":"string","value":"def scroll_event(self, widget, event):\n x, y = event.x, event.y\n num_degrees = 0\n direction = 0\n\n # x, y = coordinates of mouse\n self.last_win_x, self.last_win_y = x, y\n\n # calculate number of degrees of scroll and direction of scroll\n # both floats in the 0-359.999 range\n # num_degrees =\n # direction =\n self.logger.debug(\"scroll deg=%f direction=%f\" % (\n num_degrees, direction))\n\n data_x, data_y = self.check_cursor_location()\n\n return self.make_ui_callback('scroll', direction, num_degrees,\n data_x, data_y)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def handle_mouse_press(self, event):","def handle_mouse(self, x, y):\n pass","def on_mouse_press(self, event):\n self.on_mouse_wheel(event)","def on_mouse_press(self, x, y, button):\n\n pass","def mouseDragged():\n if mousePressed:\n mousePressed()","def on_mouse_motion(self, x, y, delta_x, delta_y):\r\n pass","def ev_MOUSEUP(self, event):","def ev_MOUSEDOWN(self, event):","def handle_mouse(self, x, y):\n self.x = x\n self.y = y\n global _pending_handle_mouse\n if not _pending_handle_mouse:\n _pending_handle_mouse = True\n if self.fig.document is not None:\n self.fig.document.add_timeout_callback(self.handle_mouse_callback, 100)\n else:\n self.handle_mouse_callback()","def on_mouse_release(self, x, y, button):\n pass","def handle_mouse_data(data):\n pass","def mouse_left_up(self):\n pass","def handle_mousemotion(self, change):\r\n if widget.Widget.handle_mousemotion(self, change):\r\n app.App.handle_mousemotion(self, change)\r\n return True\r\n return False","def on_mouse_motion(self, x, y, delta_x, delta_y):\n \n pass","def mouseEvent(self, widget, event):\n # Zoom in and out with the middle and right mouse buttons\n if event.type == gtk.gdk.BUTTON_PRESS:\n if event.button == 2:\n self.ruler.zoom(2)\n elif event.button == 3:\n self.ruler.zoom(0.5)\n\n # Use the ruler widget's coordinate system to update the time cursor\n x, y, mask = self.ruler.canvas.window.get_pointer()\n scroll = self.ruler.canvas.get_scroll_offsets()[0]\n t = (x + scroll) / self.ruler.scale\n self.cursor.value = t\n\n # If the mouse button is down, try to find the canvas item under the cursor.\n # We use the row's collision detection tree for this, for the same reason\n # we use it for everything else: gnome-canvas' built-in collision detection\n # works poorly on very small items.\n if mask & gtk.gdk.BUTTON1_MASK:\n\n # Search every row in every canvas\n for obj in self.canvasList:\n y = obj.canvas.get_pointer()[1]\n for row in obj.rows:\n if y >= row.top and y <= row.bottom:\n\n # Give a few pixels of slack on either side\n slack = 2.0 / self.ruler.scale\n cursorInterval = (t - slack, t + slack)\n\n # The mouse is in this row. Use the row's collision detection\n # to find a nearby item.\n tag = row.intervalOccupied(*cursorInterval)\n if tag and tag[0] != self.hilightWidget:\n self.notifyHilightChanged(tag[0].dataTransaction)\n self.setHilightWidget(tag[0])\n return False\n return False","def ev_MOUSEMOTION(self, event):","def ev_mousemotion(self, event: MouseMotion) -> None:","def on_mouse_press(self, x, y, button, key_modifiers):\r\n pass","def onMouseDispatcher(self, event):\n\n if self.ui.checkEditNone.isChecked():\n self.onMouseNormal(event)\n elif self.ui.checkEditBuildPoints.isChecked():\n self.onMouseEdit(event)\n elif self.ui.checkEditHorizonMask.isChecked():\n self.onMouseEdit(event)\n elif self.ui.checkPolarAlignment.isChecked():\n self.onMouseStar(event)","def ev_mousebuttondown(self, event: MouseButtonDown) -> None:","def mouse_press_event(self, x: int, y: int, button: int):\n pass","def mouse_wiggle(self, enabled):\n raise NotImplementedError(\"ERROR: Unimplemented function.\")","def mouse_enter(self):\n pass","def setupEventHooks(self):\n # handle mouse clicks\n self.img.scene().sigMouseClicked.connect(self.handleClick)\n # handle mouse movement\n # Use signalproxy for ratelimiting\n sig = self.img.scene().sigMouseMoved\n self.mvProxy = pqg.SignalProxy(signal=sig, rateLimit=60, slot=self.handleMove)","def HandButton(self, event):\n pass","def mousePosition(self):","def mouse_left_down(self):\n pass","def mousePressEvent(self, mouse_event):\r\n return","def ToggleDrawingTools(self, event):\n pass","def mouse_in(self, event):\r\n self['background'] = '#E5F3FF'","def _on_canvas_mouse(self, event):\n if event.GetEventType() in [wx.wxEVT_MOTION, wx.wxEVT_LEFT_DOWN, \n wx.wxEVT_LEFT_UP, wx.wxEVT_MOTION|wx.wxEVT_LEFT_DOWN]:\n new_event = wx.MouseEvent(event.GetEventType())\n pos = self.tc.ScreenToClient(wx.GetMousePosition())\n new_event.SetPosition(pos)\n new_event.Skip()\n self.tc.GetEventHandler().ProcessEvent(new_event)","def _on_mouse(self, event):\n x, y = event.GetPosition()\n if self._drag_mode == DepthCanvas.SASH_DRAG_NONE: \n self._canvas_hit_test(x, y) \n if event.LeftDown():\n self.start_dragging(y)\n elif self._drag_mode == DepthCanvas.SASH_DRAG_DRAGGING:\n if event.LeftIsDown():\n self.drag_it(y) \n elif event.LeftUp():\n self.end_dragging()\n event.Skip()","def on_mouse_click(self, e):\n if 'Control' in e.modifiers:\n # Get mouse position in NDC.\n box_id, _ = self.canvas.stacked.box_map(e.pos)\n channel_id = np.nonzero(self.channel_y_ranks == box_id)[0]\n # Find the spike and cluster closest to the mouse.\n db = self.data_bounds\n # Get the information about the displayed spikes.\n wt = [(t, s, c, ch) for t, s, c, ch in self._waveform_times if channel_id in ch]\n if not wt:\n return\n # Get the time coordinate of the mouse position.\n mouse_pos = self.canvas.panzoom.window_to_ndc(e.pos)\n mouse_time = Range(NDC, db).apply(mouse_pos)[0][0]\n # Get the closest spike id.\n times, spike_ids, spike_clusters, channel_ids = zip(*wt)\n i = np.argmin(np.abs(np.array(times) - mouse_time))\n # Raise the select_spike event.\n spike_id = spike_ids[i]\n cluster_id = spike_clusters[i]\n emit('select_spike', self, channel_id=channel_id,\n spike_id=spike_id, cluster_id=cluster_id)\n\n if 'Shift' in e.modifiers:\n # Get mouse position in NDC.\n box_id, _ = self.canvas.stacked.box_map(e.pos)\n channel_id = int(np.nonzero(self.channel_y_ranks == box_id)[0][0])\n emit('select_channel', self, channel_id=channel_id, button=e.button)","def mouse_middle_down(self):\n pass","def on_mouse_motion(self, x: float, y: float, dx: float, dy: float):\n if self.player_enabled:\n super().on_mouse_motion(x, y, dx, dy)","def emit_mouse(self, report):\n for name, attr in self.layout.mouse.items():\n # If the attr is a tuple like (left_analog_y, \"-\")\n # then set the attr to just be the first item\n attr, modifier = attr\n\n if attr.startswith(\"trackpad_touch\"):\n active_attr = attr[:16] + \"active\"\n if not getattr(report, active_attr):\n self.mouse_pos.pop(name, None)\n continue\n\n pos = getattr(report, attr)\n if name not in self.mouse_pos:\n self.mouse_pos[name] = pos\n\n sensitivity = 0.5\n self.mouse_rel[name] += (pos - self.mouse_pos[name]) * sensitivity\n self.mouse_pos[name] = pos\n\n elif \"analog\" in attr:\n pos = getattr(report, attr)\n if (pos > (128 + self.mouse_analog_deadzone)\n or pos < (128 - self.mouse_analog_deadzone)):\n accel = (pos - 128) / 10\n else:\n continue\n\n # If a minus modifier has been given then minus the acceleration\n # to invert the direction.\n if (modifier and modifier == \"-\"):\n accel = -accel\n\n sensitivity = self.mouse_analog_sensitivity\n self.mouse_rel[name] += accel * sensitivity\n\n # Emulate mouse wheel (needs special handling)\n if name in (ecodes.REL_WHEELUP, ecodes.REL_WHEELDOWN):\n ecode = ecodes.REL_WHEEL # The real event we need to emit\n write = False\n if getattr(report, attr):\n self._scroll_details['direction'] = name\n now = time.time()\n last_write = self._scroll_details.get('last_write')\n if not last_write:\n # No delay for the first button press for fast feedback\n write = True\n self._scroll_details['count'] = 0\n if name == ecodes.REL_WHEELUP:\n value = 1\n elif name == ecodes.REL_WHEELDOWN:\n value = -1\n if last_write:\n # Delay at least one cycle before continual scrolling\n if self._scroll_details['count'] > 1:\n if now - last_write > self.scroll_delay:\n write = True\n elif now - last_write > self.scroll_repeat_delay:\n write = True\n if write:\n self.device.write(ecodes.EV_REL, ecode, value)\n self._scroll_details['last_write'] = now\n self._scroll_details['count'] += 1\n continue # No need to proceed further\n else:\n # Reset so you can quickly tap the button to scroll\n if self._scroll_details.get('direction') == name:\n self._scroll_details['last_write'] = 0\n self._scroll_details['count'] = 0\n\n rel = int(self.mouse_rel[name])\n self.mouse_rel[name] = self.mouse_rel[name] - rel\n self.device.write(ecodes.EV_REL, name, rel)\n\n self.device.syn()","def update(self):\n self.mousePos = pygame.mouse.get_pos()\n self.update_button_hover_status()","def mouse_in(event):\r\n\r\n if str(event.type) == 'Enter':\r\n about_content.config(cursor=\"hand2\")\r\n else:\r\n about_content.config(cursor=\"arrow\")","def ev_mousebuttonup(self, event: MouseButtonUp) -> None:","def on_mouse_press(self, x, y, button, modifiers):\n\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\n\n if self.exclusive:\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\n else:\n self.set_exclusive_mouse(True)","def on_mouse_move(self, win, xpos, ypos):\n old = self.mouse\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\n self.drag(old, self.mouse, glfw.get_window_size(win))\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\n self.pan(old, self.mouse)","def on_mouse_move(self, win, xpos, ypos):\n old = self.mouse\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\n self.drag(old, self.mouse, glfw.get_window_size(win))\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\n self.pan(old, self.mouse)","def OnMouse(self, event):\n\n self.Refresh()\n event.Skip()","def on_mouse_press(self, x, y, button, modifiers):\n\n # Change states as needed.\n if self.current_state == GAME_RUNNING_PAGE:\n pass\n else:\n # Restart the game.\n self.setup()\n self.score=0\n self.current_state = GAME_RUNNING_PAGE","def handle_mousemotion(self, change):\r\n if self.get_visible():\r\n for i in self.widgets:\r\n if i.get_visible():\r\n if i.handle_mousemotion(change):\r\n return True","def _press(self, event):","def callback_handle_left_mouse_release(self, event):\n\n if self.variables.active_tool == TOOLS.PAN_TOOL:\n self._pan(event)\n if self.variables.active_tool == TOOLS.ZOOM_IN_TOOL:\n rect_coords = self.coords(self.variables.zoom_rect_id)\n self.zoom_to_selection(rect_coords, self.variables.animate_zoom)\n self.hide_shape(self.variables.zoom_rect_id)\n if self.variables.active_tool == TOOLS.ZOOM_OUT_TOOL:\n rect_coords = self.coords(self.variables.zoom_rect_id)\n x1 = -rect_coords[0]\n x2 = self.variables.canvas_width + rect_coords[2]\n y1 = -rect_coords[1]\n y2 = self.variables.canvas_height + rect_coords[3]\n zoom_rect = (x1, y1, x2, y2)\n self.zoom_to_selection(zoom_rect, self.variables.animate_zoom)\n self.hide_shape(self.variables.zoom_rect_id)","def handle_input(self, ncode, wparam, lparam):\n x_pos = lparam.contents.x_pos\n y_pos = lparam.contents.y_pos\n data = lparam.contents.mousedata\n\n # This is how we can distinguish mouse 1 from mouse 2\n # extrainfo = lparam.contents.extrainfo\n # The way windows seems to do it is there is primary mouse\n # and all other mouses report as mouse 2\n\n # Also useful later will be to support the flags field\n # flags = lparam.contents.flags\n # This shows if the event was from a real device or whether it\n # was injected somehow via software\n\n self.emulate_mouse(wparam, x_pos, y_pos, data)\n\n # Give back control to Windows to wait for and process the\n # next event\n return ctypes.windll.user32.CallNextHookEx(\n self.hooked, ncode, wparam, lparam)","def left_callback(self):\n self.rokucontrol.left_callback()","def mouse(*args, enableScrollWheel: bool=True, mouseButtonTracking: int=0,\n mouseButtonTrackingStatus: bool=True, scrollWheelStatus: bool=True, **kwargs)->int:\n pass","def mousePressEvent(self, ev):\n super(PlotObject, self).mousePressEvent(ev)\n self._downpos = self.mousePos","def on_mouse_motion(self, x, y, dx, dy):\n if self.exclusive:\n self.gamestatemanager.peek().on_mouse_motion(x, y, dx, dy)","def handle_press( self, x, y ):\n self.pressed_flag = True\n self.first_point = (x, y)","def click(self, event):\n try:\n x_loc, y_loc = self.appWindow.spec_cv.mouse(event)\n trackNo, updated_track = self.model.updateTrackClick(x_loc, y_loc,\\\n self.x_high)\n self.appWindow.spec_cv.updateTrack(trackNo, updated_track)\n self.appWindow.spec_cv.redrawTracks()\n self.locked_track = trackNo\n except TypeError:\n pass","def on_mouse_motion(x, y, dx, dy):\n if in_box(x, y):\n # Change the cursor if inside the box.\n self.window.set_mouse_cursor(self.hand_cursor)\n else:\n self.window.set_mouse_cursor(self.default_cursor)","def mousePressEvent(self, event):\n if event.buttons() == QtCore.Qt.LeftButton:\n self.view_state.mouse = np.array([event.x(), event.y()])","def mouse_right_up(self):\n pass","def OnMouseIn( self, event ):\n self.whichChoice = 1\n event.context.triggerRedraw(1)","def ev_mousebuttondown(self, event: tcod.event.MouseButtonDown) -> T | None:","def set_mouseclick_handler(self, mouse_handler):\n STmouse.Mouse(self.canvas, '<Button-1>', mouse_handler)","def setEnabled(self, boo):\n if boo:\n self.mousePressEvent = self.mousePressEventEnabled\n self.mouseMoveEvent = self.mouseMoveEventEnabled\n self.mouseReleaseEvent = self.mouseReleaseEventEnabled\n else:\n self.mousePressEvent = self.notEnabledDummy\n self.mouseMoveEvent = self.notEnabledDummy\n self.mouseReleaseEvent = self.notEnabledDummy","def mouse_click(self,x,y,button,double_click):\n raise NotImplementedError(\"ERROR: Unimplemented function.\")","def _press(self, event):\n self._set_cursor(True)\n if self._interactive and self._selection_artist.get_visible():\n self._set_active_handle(event)\n else:\n self._active_handle = None\n\n if self._active_handle is None or not self._interactive:\n # Clear previous rectangle before drawing new rectangle.\n self.update()\n\n v = event.xdata if self.direction == 'horizontal' else event.ydata\n # self._pressv and self._prev are deprecated but we still need to\n # maintain them\n self._pressv = v\n self._prev = self._get_data(event)\n\n if self._active_handle is None and not self.ignore_event_outside:\n # when the press event outside the span, we initially set the\n # visibility to False and extents to (v, v)\n # update will be called when setting the extents\n self._visible = False\n self.extents = v, v\n # We need to set the visibility back, so the span selector will be\n # drawn when necessary (span width > 0)\n self._visible = True\n else:\n self.set_visible(True)\n\n return False","def mouse_middle_up(self):\n pass","def mousePressEvent(self, QMouseEvent):\n if QMouseEvent.button() == Qt.RightButton:\n if self.playBtn.isEnabled():\n self.play_video()\n\n if QMouseEvent.button() == Qt.MiddleButton:\n if self.checkbox.isChecked() and self.checkbox.isEnabled():\n self.checkbox.setChecked(False)\n elif not self.checkbox.isChecked() and self.checkbox.isEnabled():\n self.checkbox.setChecked(True)","def calibrateMousePress(self, mouse_event):\n\n \"\"\" Get mouse posiiton \"\"\"\n pt = mouse_event.pos()\n\n if mouse_event.button() == Qt.LeftButton:\n self.kinect.last_click[0] = pt.x()\n self.kinect.last_click[1] = pt.y()\n self.kinect.new_click = True\n elif mouse_event.button() == Qt.RightButton:\n self.kinect.last_rclick[0] = pt.x()\n self.kinect.last_rclick[1] = pt.y()\n self.kinect.new_rclick = True","def on_canvas_mouse_release(self, event) -> None:\r\n\r\n self.edit_toggle_mode = None","def play(self):\n self.accept(\"wheel_up\", self.scrollindex, [-1] )\n self.accept(\"wheel_down\", self.scrollindex, [1] )\n self.accept(\"arrow_up\", self.scrollindex, [-1] )\n self.accept(\"arrow_down\", self.scrollindex, [1] )\n self.accept(\"enter\", self._click)\n if callable(self.data['exit']): self.accept(\"escape\", self.data['exit'])\n for item in self.canvas[\"items\"]: item['state']=DGG.NORMAL","def mouseDragged(self, point, delta):\n pass","def handle_mousehold(self, button, name):\r\n if widget.Widget.handle_mousehold(self, button, name):\r\n app.App.handle_mousehold(self, button, name)\r\n return True\r\n return False","def handle_mouse(self, x, y):\n self.last_x = x\n self.last_y = y\n if self.min_x is not None:\n self.last_x = max(self.last_x, self.min_x)\n if self.max_x is not None:\n self.last_x = min(self.last_x, self.max_x)\n # we are in region mode\n if self.region_id is not None:\n start = self.last_x\n end = self.region_edge\n self.region_model.adjust_region(self.region_id, start, end)\n return False","def on_mouse_release(self, x, y, button, key_modifiers):\r\n pass","def mouseMoveEvent(self, event):\n if self.view_state.tracking == TrackingMode.FREE and event.buttons() == QtCore.Qt.LeftButton:\n # Calculate the change in mouse position.\n new_mouse_pos = np.array([event.x(), event.y()])\n mouse_delta = new_mouse_pos - self.view_state.mouse\n\n # Add this to the view centre.\n self.view_state.centre = self.view_state.centre - mouse_delta * (1 / self.view_state.scale)\n self.view_state.mouse = new_mouse_pos","def on_mouse_click(self, event):\n if not self.is_game_over:\n try:\n # i, j coordinates of the click event\n i = int(round(event.ydata))\n j = int(round(event.xdata))\n\n # Left button\n if event.button == 1 or event.button == 2:\n self.reveal(i, j)\n\n # Right button\n elif event.button == 3:\n self.flag(i, j)\n\n except (TypeError, IndexError):\n pass","def _updateOnMouseState(self, state):\n x = state.X.abs\n y = state.Y.abs\n \n mscale = self.mouse_icon.getScale() \n \n if (x + mscale[0] + self.mouse_offset) > render_engine.Window.width:\n x = x - mscale[0] - 10\n else:\n x += self.mouse_offset\n \n if (y + mscale[1] + self.mouse_offset) > render_engine.Window.height:\n y = y - mscale[1] - 10\n else:\n y += self.mouse_offset\n \n self.mouse_icon.setPosition((x, y))","def motion_notify_cb(self, darea, event):\n if event.is_hint:\n x, y, state = event.window.get_pointer()\n else:\n x = event.x\n y = event.y\n state = event.state\n if state & gdk.BUTTON1_MASK or state & gdk.BUTTON3_MASK:\n self.draw_pointer(self.cr, x, y)\n self.queue_draw()\n self.oldx, self.oldy = x, y\n rel_x, rel_y = self.absolute_to_relative(x, y)\n self.emit('dnd-value', rel_x, rel_y)\n return True","def mouse_move_callback(self, event):\n # TODO drag and drop figuriek\n print(\"moving at \", event.x + self.offset_x, event.y + self.offset_y)","def on_mouse_press(self, _x, _y, _button, _modifiers):\n self.window.show_view(GameView())","def on_left_mouse_click(self, event: Event) -> None:\n\t\tself.mouse_state.set_click(event.x, event.y)","def leftButtonDown(self):\n\t\tautopy.mouse.toggle(True,autopy.mouse.LEFT_BUTTON)","def handle_events(self) -> None:\n for event in pygame.event.get():\n if event.type == QUIT:\n pygame.quit()\n sys.exit()\n elif event.type == MOUSEMOTION:\n self.mouse_pos = event.pos\n elif event.type == MOUSEBUTTONDOWN:\n self.mouse_pos = event.pos\n self.mouse_clicked = True\n elif self._focused_button is not None and event.type == KEYDOWN:\n self._handle_key_press(event)","def mousePressed(self, _evt, _id):\n _widget = None\n \n if _id == ois.MB_Left:\n _widget = self._mouseLeft\n elif _id == ois.MB_Right:\n _widget = self._mouseRight\n elif _id == ois.MB_Middle:\n _widget = self._mouseMiddle\n \n if _widget is not None:\n self._addLinearAnimation(_widget, 1.0)\n \n return False","def on_checkBox_kongtouping_stateChanged(self, p0):\n # TODO: not implemented yet\n raise NotImplementedError\n \n #@pyqtSlot(QPoint)\n #def on_tablewidget_tableWidget_Trade_Args_customContextMenuRequested(self, pos):\n \"\"\"\n Slot documentation goes here.\n \n @param pos DESCRIPTION\n @type QPoint\n \"\"\"\n # TODO: not implemented yet\n #raise NotImplementedError","def ev_mousewheel(self, event: MouseWheel) -> None:","def update(self):\n\n\t\tself.x = games.mouse.x\n\t\tself.y = games.mouse.y\n\t\tself.check_collide()","def on_mouse_press(self, x, y, button, modifiers):\n\n # Change states as needed.\n if self.current_state == INSTRUCTIONS_PAGE:\n # Next page of instructions.\n self.current_state = GAME_RUNNING\n # Start the game\n self.setup()\n self.current_state = GAME_RUNNING\n elif self.current_state == GAME_OVER:\n # Restart the game.\n self.setup()\n self.current_state = GAME_RUNNING","def on_press(self):\n self.pressed = True","def on_press(self):\n self.pressed = True","def _onMotionNotify(self, widget, event):\n\t\tif self.fullscreenToggle:\n\t\t\tmove = [event.x - self.mouseStart[0], event.y - self.mouseStart[1]]\n\t\t\tnewPos = [self.imgPosStart[0] - move[0], self.imgPosStart[1] - move[1]]\n\t\t\tself.moveImage(newPos[0], newPos[1])","def __mouseMoved(self, x, y):\n # Are we on the bounding box?\n if pointOnBox(x, y, self.currentBox, thickness=self.__THICKNESS):\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\n cursor = [\n wx.CURSOR_SIZENWSE,\n wx.CURSOR_SIZENS,\n wx.CURSOR_SIZENESW,\n wx.CURSOR_SIZEWE,\n wx.CURSOR_SIZENWSE,\n wx.CURSOR_SIZENS,\n wx.CURSOR_SIZENESW,\n wx.CURSOR_SIZEWE\n ] [position]\n self.__setCursor(cursor)\n elif pointInBox(x, y, self.currentBox):\n self.__setCursor(wx.CURSOR_HAND)\n else:\n self.__setCursor()","def __handleMouseEvents(self, event):\n if not self.enabled:\n return\n\n x, y = event.GetPosition()\n\n # First make sure we have started a box.\n if self.currentBox == None and not event.LeftDown():\n # No box started yet. Set cursor to the initial kind.\n self.__setCursor(wx.CURSOR_CROSS)\n return\n\n if event.LeftDown():\n if self.currentBox == None:\n # No RB Box, so start a new one.\n self.currentBox = (x, y, 0, 0)\n self.hasLetUp = 0\n elif self.__isSizingCursor():\n # Starting a sizing operation. Change the origin.\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\n self.currentBox = self.__denormalizeBox(position, self.currentBox)\n\n elif event.Dragging() and event.LeftIsDown():\n # Use the cursor type to determine operation\n if self.__isMovingCursor():\n if self.currentlyMoving or pointInBox(x, y, self.currentBox):\n if not self.currentlyMoving:\n self.currentlyMoving = (x - self.currentBox[0], y - self.currentBox[1])\n self.__moveTo(x - self.currentlyMoving[0], y - self.currentlyMoving[1])\n elif self.__isSizingCursor():\n self.__resizeBox(x, y)\n\n elif event.LeftUp():\n self.hasLetUp = 1\n self.currentlyMoving = None\n self.__normalizeBox()\n\n elif event.Moving() and not event.Dragging():\n # Simple mouse movement event\n self.__mouseMoved(x,y)","def handle_mousehold(self, button, name):\r\n if self.get_visible():\r\n for i in self.widgets:\r\n if i.get_visible():\r\n if i.handle_mousehold(button, name):\r\n return True\r\n return False","def mouse_right_down(self):\n pass","def grab(self, event):\n self.ypos = event.y\n self.xpos = event.x\n self.config(cursor='fleur')","def _on_pyglet_mouse_click(self, x, y, button, modifiers):\n button_time = clock()\n this_button = self._button_names[button]\n self._mouse_buffer.append((this_button, x, y, button_time))","def mouse_out(self):\n pass","def on_tag_hover(self, _tag, _textview, event, _textiter, halfmove):\n if event.type == Gdk.EventType.BUTTON_RELEASE:\n self.emit(\"step\", halfmove)","def mousePressEvent(self, event):\n self.begin = event.pos()\n self.end = event.pos()\n self.update()","def mousePositionRaw(self):","def mousePositionRaw(self):","def touch_began(self, touch):\n\t\tpass"],"string":"[\n \"def handle_mouse_press(self, event):\",\n \"def handle_mouse(self, x, y):\\n pass\",\n \"def on_mouse_press(self, event):\\n self.on_mouse_wheel(event)\",\n \"def on_mouse_press(self, x, y, button):\\n\\n pass\",\n \"def mouseDragged():\\n if mousePressed:\\n mousePressed()\",\n \"def on_mouse_motion(self, x, y, delta_x, delta_y):\\r\\n pass\",\n \"def ev_MOUSEUP(self, event):\",\n \"def ev_MOUSEDOWN(self, event):\",\n \"def handle_mouse(self, x, y):\\n self.x = x\\n self.y = y\\n global _pending_handle_mouse\\n if not _pending_handle_mouse:\\n _pending_handle_mouse = True\\n if self.fig.document is not None:\\n self.fig.document.add_timeout_callback(self.handle_mouse_callback, 100)\\n else:\\n self.handle_mouse_callback()\",\n \"def on_mouse_release(self, x, y, button):\\n pass\",\n \"def handle_mouse_data(data):\\n pass\",\n \"def mouse_left_up(self):\\n pass\",\n \"def handle_mousemotion(self, change):\\r\\n if widget.Widget.handle_mousemotion(self, change):\\r\\n app.App.handle_mousemotion(self, change)\\r\\n return True\\r\\n return False\",\n \"def on_mouse_motion(self, x, y, delta_x, delta_y):\\n \\n pass\",\n \"def mouseEvent(self, widget, event):\\n # Zoom in and out with the middle and right mouse buttons\\n if event.type == gtk.gdk.BUTTON_PRESS:\\n if event.button == 2:\\n self.ruler.zoom(2)\\n elif event.button == 3:\\n self.ruler.zoom(0.5)\\n\\n # Use the ruler widget's coordinate system to update the time cursor\\n x, y, mask = self.ruler.canvas.window.get_pointer()\\n scroll = self.ruler.canvas.get_scroll_offsets()[0]\\n t = (x + scroll) / self.ruler.scale\\n self.cursor.value = t\\n\\n # If the mouse button is down, try to find the canvas item under the cursor.\\n # We use the row's collision detection tree for this, for the same reason\\n # we use it for everything else: gnome-canvas' built-in collision detection\\n # works poorly on very small items.\\n if mask & gtk.gdk.BUTTON1_MASK:\\n\\n # Search every row in every canvas\\n for obj in self.canvasList:\\n y = obj.canvas.get_pointer()[1]\\n for row in obj.rows:\\n if y >= row.top and y <= row.bottom:\\n\\n # Give a few pixels of slack on either side\\n slack = 2.0 / self.ruler.scale\\n cursorInterval = (t - slack, t + slack)\\n\\n # The mouse is in this row. Use the row's collision detection\\n # to find a nearby item.\\n tag = row.intervalOccupied(*cursorInterval)\\n if tag and tag[0] != self.hilightWidget:\\n self.notifyHilightChanged(tag[0].dataTransaction)\\n self.setHilightWidget(tag[0])\\n return False\\n return False\",\n \"def ev_MOUSEMOTION(self, event):\",\n \"def ev_mousemotion(self, event: MouseMotion) -> None:\",\n \"def on_mouse_press(self, x, y, button, key_modifiers):\\r\\n pass\",\n \"def onMouseDispatcher(self, event):\\n\\n if self.ui.checkEditNone.isChecked():\\n self.onMouseNormal(event)\\n elif self.ui.checkEditBuildPoints.isChecked():\\n self.onMouseEdit(event)\\n elif self.ui.checkEditHorizonMask.isChecked():\\n self.onMouseEdit(event)\\n elif self.ui.checkPolarAlignment.isChecked():\\n self.onMouseStar(event)\",\n \"def ev_mousebuttondown(self, event: MouseButtonDown) -> None:\",\n \"def mouse_press_event(self, x: int, y: int, button: int):\\n pass\",\n \"def mouse_wiggle(self, enabled):\\n raise NotImplementedError(\\\"ERROR: Unimplemented function.\\\")\",\n \"def mouse_enter(self):\\n pass\",\n \"def setupEventHooks(self):\\n # handle mouse clicks\\n self.img.scene().sigMouseClicked.connect(self.handleClick)\\n # handle mouse movement\\n # Use signalproxy for ratelimiting\\n sig = self.img.scene().sigMouseMoved\\n self.mvProxy = pqg.SignalProxy(signal=sig, rateLimit=60, slot=self.handleMove)\",\n \"def HandButton(self, event):\\n pass\",\n \"def mousePosition(self):\",\n \"def mouse_left_down(self):\\n pass\",\n \"def mousePressEvent(self, mouse_event):\\r\\n return\",\n \"def ToggleDrawingTools(self, event):\\n pass\",\n \"def mouse_in(self, event):\\r\\n self['background'] = '#E5F3FF'\",\n \"def _on_canvas_mouse(self, event):\\n if event.GetEventType() in [wx.wxEVT_MOTION, wx.wxEVT_LEFT_DOWN, \\n wx.wxEVT_LEFT_UP, wx.wxEVT_MOTION|wx.wxEVT_LEFT_DOWN]:\\n new_event = wx.MouseEvent(event.GetEventType())\\n pos = self.tc.ScreenToClient(wx.GetMousePosition())\\n new_event.SetPosition(pos)\\n new_event.Skip()\\n self.tc.GetEventHandler().ProcessEvent(new_event)\",\n \"def _on_mouse(self, event):\\n x, y = event.GetPosition()\\n if self._drag_mode == DepthCanvas.SASH_DRAG_NONE: \\n self._canvas_hit_test(x, y) \\n if event.LeftDown():\\n self.start_dragging(y)\\n elif self._drag_mode == DepthCanvas.SASH_DRAG_DRAGGING:\\n if event.LeftIsDown():\\n self.drag_it(y) \\n elif event.LeftUp():\\n self.end_dragging()\\n event.Skip()\",\n \"def on_mouse_click(self, e):\\n if 'Control' in e.modifiers:\\n # Get mouse position in NDC.\\n box_id, _ = self.canvas.stacked.box_map(e.pos)\\n channel_id = np.nonzero(self.channel_y_ranks == box_id)[0]\\n # Find the spike and cluster closest to the mouse.\\n db = self.data_bounds\\n # Get the information about the displayed spikes.\\n wt = [(t, s, c, ch) for t, s, c, ch in self._waveform_times if channel_id in ch]\\n if not wt:\\n return\\n # Get the time coordinate of the mouse position.\\n mouse_pos = self.canvas.panzoom.window_to_ndc(e.pos)\\n mouse_time = Range(NDC, db).apply(mouse_pos)[0][0]\\n # Get the closest spike id.\\n times, spike_ids, spike_clusters, channel_ids = zip(*wt)\\n i = np.argmin(np.abs(np.array(times) - mouse_time))\\n # Raise the select_spike event.\\n spike_id = spike_ids[i]\\n cluster_id = spike_clusters[i]\\n emit('select_spike', self, channel_id=channel_id,\\n spike_id=spike_id, cluster_id=cluster_id)\\n\\n if 'Shift' in e.modifiers:\\n # Get mouse position in NDC.\\n box_id, _ = self.canvas.stacked.box_map(e.pos)\\n channel_id = int(np.nonzero(self.channel_y_ranks == box_id)[0][0])\\n emit('select_channel', self, channel_id=channel_id, button=e.button)\",\n \"def mouse_middle_down(self):\\n pass\",\n \"def on_mouse_motion(self, x: float, y: float, dx: float, dy: float):\\n if self.player_enabled:\\n super().on_mouse_motion(x, y, dx, dy)\",\n \"def emit_mouse(self, report):\\n for name, attr in self.layout.mouse.items():\\n # If the attr is a tuple like (left_analog_y, \\\"-\\\")\\n # then set the attr to just be the first item\\n attr, modifier = attr\\n\\n if attr.startswith(\\\"trackpad_touch\\\"):\\n active_attr = attr[:16] + \\\"active\\\"\\n if not getattr(report, active_attr):\\n self.mouse_pos.pop(name, None)\\n continue\\n\\n pos = getattr(report, attr)\\n if name not in self.mouse_pos:\\n self.mouse_pos[name] = pos\\n\\n sensitivity = 0.5\\n self.mouse_rel[name] += (pos - self.mouse_pos[name]) * sensitivity\\n self.mouse_pos[name] = pos\\n\\n elif \\\"analog\\\" in attr:\\n pos = getattr(report, attr)\\n if (pos > (128 + self.mouse_analog_deadzone)\\n or pos < (128 - self.mouse_analog_deadzone)):\\n accel = (pos - 128) / 10\\n else:\\n continue\\n\\n # If a minus modifier has been given then minus the acceleration\\n # to invert the direction.\\n if (modifier and modifier == \\\"-\\\"):\\n accel = -accel\\n\\n sensitivity = self.mouse_analog_sensitivity\\n self.mouse_rel[name] += accel * sensitivity\\n\\n # Emulate mouse wheel (needs special handling)\\n if name in (ecodes.REL_WHEELUP, ecodes.REL_WHEELDOWN):\\n ecode = ecodes.REL_WHEEL # The real event we need to emit\\n write = False\\n if getattr(report, attr):\\n self._scroll_details['direction'] = name\\n now = time.time()\\n last_write = self._scroll_details.get('last_write')\\n if not last_write:\\n # No delay for the first button press for fast feedback\\n write = True\\n self._scroll_details['count'] = 0\\n if name == ecodes.REL_WHEELUP:\\n value = 1\\n elif name == ecodes.REL_WHEELDOWN:\\n value = -1\\n if last_write:\\n # Delay at least one cycle before continual scrolling\\n if self._scroll_details['count'] > 1:\\n if now - last_write > self.scroll_delay:\\n write = True\\n elif now - last_write > self.scroll_repeat_delay:\\n write = True\\n if write:\\n self.device.write(ecodes.EV_REL, ecode, value)\\n self._scroll_details['last_write'] = now\\n self._scroll_details['count'] += 1\\n continue # No need to proceed further\\n else:\\n # Reset so you can quickly tap the button to scroll\\n if self._scroll_details.get('direction') == name:\\n self._scroll_details['last_write'] = 0\\n self._scroll_details['count'] = 0\\n\\n rel = int(self.mouse_rel[name])\\n self.mouse_rel[name] = self.mouse_rel[name] - rel\\n self.device.write(ecodes.EV_REL, name, rel)\\n\\n self.device.syn()\",\n \"def update(self):\\n self.mousePos = pygame.mouse.get_pos()\\n self.update_button_hover_status()\",\n \"def mouse_in(event):\\r\\n\\r\\n if str(event.type) == 'Enter':\\r\\n about_content.config(cursor=\\\"hand2\\\")\\r\\n else:\\r\\n about_content.config(cursor=\\\"arrow\\\")\",\n \"def ev_mousebuttonup(self, event: MouseButtonUp) -> None:\",\n \"def on_mouse_press(self, x, y, button, modifiers):\\n\\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\\n\\n if self.exclusive:\\n self.gamestatemanager.peek().on_mouse_press(x, y, button, modifiers)\\n else:\\n self.set_exclusive_mouse(True)\",\n \"def on_mouse_move(self, win, xpos, ypos):\\n old = self.mouse\\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\\n self.drag(old, self.mouse, glfw.get_window_size(win))\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\\n self.pan(old, self.mouse)\",\n \"def on_mouse_move(self, win, xpos, ypos):\\n old = self.mouse\\n self.mouse = (xpos, glfw.get_window_size(win)[1] - ypos)\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_LEFT):\\n self.drag(old, self.mouse, glfw.get_window_size(win))\\n if glfw.get_mouse_button(win, glfw.MOUSE_BUTTON_RIGHT):\\n self.pan(old, self.mouse)\",\n \"def OnMouse(self, event):\\n\\n self.Refresh()\\n event.Skip()\",\n \"def on_mouse_press(self, x, y, button, modifiers):\\n\\n # Change states as needed.\\n if self.current_state == GAME_RUNNING_PAGE:\\n pass\\n else:\\n # Restart the game.\\n self.setup()\\n self.score=0\\n self.current_state = GAME_RUNNING_PAGE\",\n \"def handle_mousemotion(self, change):\\r\\n if self.get_visible():\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_mousemotion(change):\\r\\n return True\",\n \"def _press(self, event):\",\n \"def callback_handle_left_mouse_release(self, event):\\n\\n if self.variables.active_tool == TOOLS.PAN_TOOL:\\n self._pan(event)\\n if self.variables.active_tool == TOOLS.ZOOM_IN_TOOL:\\n rect_coords = self.coords(self.variables.zoom_rect_id)\\n self.zoom_to_selection(rect_coords, self.variables.animate_zoom)\\n self.hide_shape(self.variables.zoom_rect_id)\\n if self.variables.active_tool == TOOLS.ZOOM_OUT_TOOL:\\n rect_coords = self.coords(self.variables.zoom_rect_id)\\n x1 = -rect_coords[0]\\n x2 = self.variables.canvas_width + rect_coords[2]\\n y1 = -rect_coords[1]\\n y2 = self.variables.canvas_height + rect_coords[3]\\n zoom_rect = (x1, y1, x2, y2)\\n self.zoom_to_selection(zoom_rect, self.variables.animate_zoom)\\n self.hide_shape(self.variables.zoom_rect_id)\",\n \"def handle_input(self, ncode, wparam, lparam):\\n x_pos = lparam.contents.x_pos\\n y_pos = lparam.contents.y_pos\\n data = lparam.contents.mousedata\\n\\n # This is how we can distinguish mouse 1 from mouse 2\\n # extrainfo = lparam.contents.extrainfo\\n # The way windows seems to do it is there is primary mouse\\n # and all other mouses report as mouse 2\\n\\n # Also useful later will be to support the flags field\\n # flags = lparam.contents.flags\\n # This shows if the event was from a real device or whether it\\n # was injected somehow via software\\n\\n self.emulate_mouse(wparam, x_pos, y_pos, data)\\n\\n # Give back control to Windows to wait for and process the\\n # next event\\n return ctypes.windll.user32.CallNextHookEx(\\n self.hooked, ncode, wparam, lparam)\",\n \"def left_callback(self):\\n self.rokucontrol.left_callback()\",\n \"def mouse(*args, enableScrollWheel: bool=True, mouseButtonTracking: int=0,\\n mouseButtonTrackingStatus: bool=True, scrollWheelStatus: bool=True, **kwargs)->int:\\n pass\",\n \"def mousePressEvent(self, ev):\\n super(PlotObject, self).mousePressEvent(ev)\\n self._downpos = self.mousePos\",\n \"def on_mouse_motion(self, x, y, dx, dy):\\n if self.exclusive:\\n self.gamestatemanager.peek().on_mouse_motion(x, y, dx, dy)\",\n \"def handle_press( self, x, y ):\\n self.pressed_flag = True\\n self.first_point = (x, y)\",\n \"def click(self, event):\\n try:\\n x_loc, y_loc = self.appWindow.spec_cv.mouse(event)\\n trackNo, updated_track = self.model.updateTrackClick(x_loc, y_loc,\\\\\\n self.x_high)\\n self.appWindow.spec_cv.updateTrack(trackNo, updated_track)\\n self.appWindow.spec_cv.redrawTracks()\\n self.locked_track = trackNo\\n except TypeError:\\n pass\",\n \"def on_mouse_motion(x, y, dx, dy):\\n if in_box(x, y):\\n # Change the cursor if inside the box.\\n self.window.set_mouse_cursor(self.hand_cursor)\\n else:\\n self.window.set_mouse_cursor(self.default_cursor)\",\n \"def mousePressEvent(self, event):\\n if event.buttons() == QtCore.Qt.LeftButton:\\n self.view_state.mouse = np.array([event.x(), event.y()])\",\n \"def mouse_right_up(self):\\n pass\",\n \"def OnMouseIn( self, event ):\\n self.whichChoice = 1\\n event.context.triggerRedraw(1)\",\n \"def ev_mousebuttondown(self, event: tcod.event.MouseButtonDown) -> T | None:\",\n \"def set_mouseclick_handler(self, mouse_handler):\\n STmouse.Mouse(self.canvas, '<Button-1>', mouse_handler)\",\n \"def setEnabled(self, boo):\\n if boo:\\n self.mousePressEvent = self.mousePressEventEnabled\\n self.mouseMoveEvent = self.mouseMoveEventEnabled\\n self.mouseReleaseEvent = self.mouseReleaseEventEnabled\\n else:\\n self.mousePressEvent = self.notEnabledDummy\\n self.mouseMoveEvent = self.notEnabledDummy\\n self.mouseReleaseEvent = self.notEnabledDummy\",\n \"def mouse_click(self,x,y,button,double_click):\\n raise NotImplementedError(\\\"ERROR: Unimplemented function.\\\")\",\n \"def _press(self, event):\\n self._set_cursor(True)\\n if self._interactive and self._selection_artist.get_visible():\\n self._set_active_handle(event)\\n else:\\n self._active_handle = None\\n\\n if self._active_handle is None or not self._interactive:\\n # Clear previous rectangle before drawing new rectangle.\\n self.update()\\n\\n v = event.xdata if self.direction == 'horizontal' else event.ydata\\n # self._pressv and self._prev are deprecated but we still need to\\n # maintain them\\n self._pressv = v\\n self._prev = self._get_data(event)\\n\\n if self._active_handle is None and not self.ignore_event_outside:\\n # when the press event outside the span, we initially set the\\n # visibility to False and extents to (v, v)\\n # update will be called when setting the extents\\n self._visible = False\\n self.extents = v, v\\n # We need to set the visibility back, so the span selector will be\\n # drawn when necessary (span width > 0)\\n self._visible = True\\n else:\\n self.set_visible(True)\\n\\n return False\",\n \"def mouse_middle_up(self):\\n pass\",\n \"def mousePressEvent(self, QMouseEvent):\\n if QMouseEvent.button() == Qt.RightButton:\\n if self.playBtn.isEnabled():\\n self.play_video()\\n\\n if QMouseEvent.button() == Qt.MiddleButton:\\n if self.checkbox.isChecked() and self.checkbox.isEnabled():\\n self.checkbox.setChecked(False)\\n elif not self.checkbox.isChecked() and self.checkbox.isEnabled():\\n self.checkbox.setChecked(True)\",\n \"def calibrateMousePress(self, mouse_event):\\n\\n \\\"\\\"\\\" Get mouse posiiton \\\"\\\"\\\"\\n pt = mouse_event.pos()\\n\\n if mouse_event.button() == Qt.LeftButton:\\n self.kinect.last_click[0] = pt.x()\\n self.kinect.last_click[1] = pt.y()\\n self.kinect.new_click = True\\n elif mouse_event.button() == Qt.RightButton:\\n self.kinect.last_rclick[0] = pt.x()\\n self.kinect.last_rclick[1] = pt.y()\\n self.kinect.new_rclick = True\",\n \"def on_canvas_mouse_release(self, event) -> None:\\r\\n\\r\\n self.edit_toggle_mode = None\",\n \"def play(self):\\n self.accept(\\\"wheel_up\\\", self.scrollindex, [-1] )\\n self.accept(\\\"wheel_down\\\", self.scrollindex, [1] )\\n self.accept(\\\"arrow_up\\\", self.scrollindex, [-1] )\\n self.accept(\\\"arrow_down\\\", self.scrollindex, [1] )\\n self.accept(\\\"enter\\\", self._click)\\n if callable(self.data['exit']): self.accept(\\\"escape\\\", self.data['exit'])\\n for item in self.canvas[\\\"items\\\"]: item['state']=DGG.NORMAL\",\n \"def mouseDragged(self, point, delta):\\n pass\",\n \"def handle_mousehold(self, button, name):\\r\\n if widget.Widget.handle_mousehold(self, button, name):\\r\\n app.App.handle_mousehold(self, button, name)\\r\\n return True\\r\\n return False\",\n \"def handle_mouse(self, x, y):\\n self.last_x = x\\n self.last_y = y\\n if self.min_x is not None:\\n self.last_x = max(self.last_x, self.min_x)\\n if self.max_x is not None:\\n self.last_x = min(self.last_x, self.max_x)\\n # we are in region mode\\n if self.region_id is not None:\\n start = self.last_x\\n end = self.region_edge\\n self.region_model.adjust_region(self.region_id, start, end)\\n return False\",\n \"def on_mouse_release(self, x, y, button, key_modifiers):\\r\\n pass\",\n \"def mouseMoveEvent(self, event):\\n if self.view_state.tracking == TrackingMode.FREE and event.buttons() == QtCore.Qt.LeftButton:\\n # Calculate the change in mouse position.\\n new_mouse_pos = np.array([event.x(), event.y()])\\n mouse_delta = new_mouse_pos - self.view_state.mouse\\n\\n # Add this to the view centre.\\n self.view_state.centre = self.view_state.centre - mouse_delta * (1 / self.view_state.scale)\\n self.view_state.mouse = new_mouse_pos\",\n \"def on_mouse_click(self, event):\\n if not self.is_game_over:\\n try:\\n # i, j coordinates of the click event\\n i = int(round(event.ydata))\\n j = int(round(event.xdata))\\n\\n # Left button\\n if event.button == 1 or event.button == 2:\\n self.reveal(i, j)\\n\\n # Right button\\n elif event.button == 3:\\n self.flag(i, j)\\n\\n except (TypeError, IndexError):\\n pass\",\n \"def _updateOnMouseState(self, state):\\n x = state.X.abs\\n y = state.Y.abs\\n \\n mscale = self.mouse_icon.getScale() \\n \\n if (x + mscale[0] + self.mouse_offset) > render_engine.Window.width:\\n x = x - mscale[0] - 10\\n else:\\n x += self.mouse_offset\\n \\n if (y + mscale[1] + self.mouse_offset) > render_engine.Window.height:\\n y = y - mscale[1] - 10\\n else:\\n y += self.mouse_offset\\n \\n self.mouse_icon.setPosition((x, y))\",\n \"def motion_notify_cb(self, darea, event):\\n if event.is_hint:\\n x, y, state = event.window.get_pointer()\\n else:\\n x = event.x\\n y = event.y\\n state = event.state\\n if state & gdk.BUTTON1_MASK or state & gdk.BUTTON3_MASK:\\n self.draw_pointer(self.cr, x, y)\\n self.queue_draw()\\n self.oldx, self.oldy = x, y\\n rel_x, rel_y = self.absolute_to_relative(x, y)\\n self.emit('dnd-value', rel_x, rel_y)\\n return True\",\n \"def mouse_move_callback(self, event):\\n # TODO drag and drop figuriek\\n print(\\\"moving at \\\", event.x + self.offset_x, event.y + self.offset_y)\",\n \"def on_mouse_press(self, _x, _y, _button, _modifiers):\\n self.window.show_view(GameView())\",\n \"def on_left_mouse_click(self, event: Event) -> None:\\n\\t\\tself.mouse_state.set_click(event.x, event.y)\",\n \"def leftButtonDown(self):\\n\\t\\tautopy.mouse.toggle(True,autopy.mouse.LEFT_BUTTON)\",\n \"def handle_events(self) -> None:\\n for event in pygame.event.get():\\n if event.type == QUIT:\\n pygame.quit()\\n sys.exit()\\n elif event.type == MOUSEMOTION:\\n self.mouse_pos = event.pos\\n elif event.type == MOUSEBUTTONDOWN:\\n self.mouse_pos = event.pos\\n self.mouse_clicked = True\\n elif self._focused_button is not None and event.type == KEYDOWN:\\n self._handle_key_press(event)\",\n \"def mousePressed(self, _evt, _id):\\n _widget = None\\n \\n if _id == ois.MB_Left:\\n _widget = self._mouseLeft\\n elif _id == ois.MB_Right:\\n _widget = self._mouseRight\\n elif _id == ois.MB_Middle:\\n _widget = self._mouseMiddle\\n \\n if _widget is not None:\\n self._addLinearAnimation(_widget, 1.0)\\n \\n return False\",\n \"def on_checkBox_kongtouping_stateChanged(self, p0):\\n # TODO: not implemented yet\\n raise NotImplementedError\\n \\n #@pyqtSlot(QPoint)\\n #def on_tablewidget_tableWidget_Trade_Args_customContextMenuRequested(self, pos):\\n \\\"\\\"\\\"\\n Slot documentation goes here.\\n \\n @param pos DESCRIPTION\\n @type QPoint\\n \\\"\\\"\\\"\\n # TODO: not implemented yet\\n #raise NotImplementedError\",\n \"def ev_mousewheel(self, event: MouseWheel) -> None:\",\n \"def update(self):\\n\\n\\t\\tself.x = games.mouse.x\\n\\t\\tself.y = games.mouse.y\\n\\t\\tself.check_collide()\",\n \"def on_mouse_press(self, x, y, button, modifiers):\\n\\n # Change states as needed.\\n if self.current_state == INSTRUCTIONS_PAGE:\\n # Next page of instructions.\\n self.current_state = GAME_RUNNING\\n # Start the game\\n self.setup()\\n self.current_state = GAME_RUNNING\\n elif self.current_state == GAME_OVER:\\n # Restart the game.\\n self.setup()\\n self.current_state = GAME_RUNNING\",\n \"def on_press(self):\\n self.pressed = True\",\n \"def on_press(self):\\n self.pressed = True\",\n \"def _onMotionNotify(self, widget, event):\\n\\t\\tif self.fullscreenToggle:\\n\\t\\t\\tmove = [event.x - self.mouseStart[0], event.y - self.mouseStart[1]]\\n\\t\\t\\tnewPos = [self.imgPosStart[0] - move[0], self.imgPosStart[1] - move[1]]\\n\\t\\t\\tself.moveImage(newPos[0], newPos[1])\",\n \"def __mouseMoved(self, x, y):\\n # Are we on the bounding box?\\n if pointOnBox(x, y, self.currentBox, thickness=self.__THICKNESS):\\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\\n cursor = [\\n wx.CURSOR_SIZENWSE,\\n wx.CURSOR_SIZENS,\\n wx.CURSOR_SIZENESW,\\n wx.CURSOR_SIZEWE,\\n wx.CURSOR_SIZENWSE,\\n wx.CURSOR_SIZENS,\\n wx.CURSOR_SIZENESW,\\n wx.CURSOR_SIZEWE\\n ] [position]\\n self.__setCursor(cursor)\\n elif pointInBox(x, y, self.currentBox):\\n self.__setCursor(wx.CURSOR_HAND)\\n else:\\n self.__setCursor()\",\n \"def __handleMouseEvents(self, event):\\n if not self.enabled:\\n return\\n\\n x, y = event.GetPosition()\\n\\n # First make sure we have started a box.\\n if self.currentBox == None and not event.LeftDown():\\n # No box started yet. Set cursor to the initial kind.\\n self.__setCursor(wx.CURSOR_CROSS)\\n return\\n\\n if event.LeftDown():\\n if self.currentBox == None:\\n # No RB Box, so start a new one.\\n self.currentBox = (x, y, 0, 0)\\n self.hasLetUp = 0\\n elif self.__isSizingCursor():\\n # Starting a sizing operation. Change the origin.\\n position = getCursorPosition(x, y, self.currentBox, thickness=self.__THICKNESS)\\n self.currentBox = self.__denormalizeBox(position, self.currentBox)\\n\\n elif event.Dragging() and event.LeftIsDown():\\n # Use the cursor type to determine operation\\n if self.__isMovingCursor():\\n if self.currentlyMoving or pointInBox(x, y, self.currentBox):\\n if not self.currentlyMoving:\\n self.currentlyMoving = (x - self.currentBox[0], y - self.currentBox[1])\\n self.__moveTo(x - self.currentlyMoving[0], y - self.currentlyMoving[1])\\n elif self.__isSizingCursor():\\n self.__resizeBox(x, y)\\n\\n elif event.LeftUp():\\n self.hasLetUp = 1\\n self.currentlyMoving = None\\n self.__normalizeBox()\\n\\n elif event.Moving() and not event.Dragging():\\n # Simple mouse movement event\\n self.__mouseMoved(x,y)\",\n \"def handle_mousehold(self, button, name):\\r\\n if self.get_visible():\\r\\n for i in self.widgets:\\r\\n if i.get_visible():\\r\\n if i.handle_mousehold(button, name):\\r\\n return True\\r\\n return False\",\n \"def mouse_right_down(self):\\n pass\",\n \"def grab(self, event):\\n self.ypos = event.y\\n self.xpos = event.x\\n self.config(cursor='fleur')\",\n \"def _on_pyglet_mouse_click(self, x, y, button, modifiers):\\n button_time = clock()\\n this_button = self._button_names[button]\\n self._mouse_buffer.append((this_button, x, y, button_time))\",\n \"def mouse_out(self):\\n pass\",\n \"def on_tag_hover(self, _tag, _textview, event, _textiter, halfmove):\\n if event.type == Gdk.EventType.BUTTON_RELEASE:\\n self.emit(\\\"step\\\", halfmove)\",\n \"def mousePressEvent(self, event):\\n self.begin = event.pos()\\n self.end = event.pos()\\n self.update()\",\n \"def mousePositionRaw(self):\",\n \"def mousePositionRaw(self):\",\n \"def touch_began(self, touch):\\n\\t\\tpass\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.71367556","0.68652886","0.67238146","0.6668152","0.6439022","0.6427705","0.64046293","0.6377476","0.6342399","0.61890846","0.6186807","0.608219","0.6079052","0.60771847","0.60688984","0.60027486","0.59981054","0.5972442","0.59615374","0.59591645","0.59557724","0.5938648","0.59274673","0.5920973","0.59106565","0.5904462","0.588333","0.58822674","0.58765364","0.58631635","0.58463097","0.58462137","0.5831465","0.5829826","0.5822365","0.5807782","0.57900476","0.5786874","0.57826805","0.57804936","0.5764805","0.5764805","0.5761675","0.5743644","0.5741454","0.5724589","0.57183135","0.57093996","0.5701784","0.569652","0.56558377","0.5651177","0.5651082","0.5649441","0.56435275","0.5641381","0.5638101","0.56321764","0.5627839","0.5627217","0.56230897","0.561976","0.56068975","0.55975854","0.5591556","0.5572347","0.5571961","0.55447274","0.55446535","0.5543165","0.5527039","0.55210775","0.55161244","0.550905","0.55047107","0.5494381","0.5486426","0.54854685","0.54845077","0.5472396","0.54719245","0.54712","0.5468271","0.54620504","0.54549646","0.5451956","0.5448993","0.5448993","0.5439998","0.5426513","0.54264873","0.5416541","0.54101783","0.5407018","0.54055107","0.5393295","0.53900117","0.53896785","0.5389211","0.5389211","0.5384342"],"string":"[\n \"0.71367556\",\n \"0.68652886\",\n \"0.67238146\",\n \"0.6668152\",\n \"0.6439022\",\n \"0.6427705\",\n \"0.64046293\",\n \"0.6377476\",\n \"0.6342399\",\n \"0.61890846\",\n \"0.6186807\",\n \"0.608219\",\n \"0.6079052\",\n \"0.60771847\",\n \"0.60688984\",\n \"0.60027486\",\n \"0.59981054\",\n \"0.5972442\",\n \"0.59615374\",\n \"0.59591645\",\n \"0.59557724\",\n \"0.5938648\",\n \"0.59274673\",\n \"0.5920973\",\n \"0.59106565\",\n \"0.5904462\",\n \"0.588333\",\n \"0.58822674\",\n \"0.58765364\",\n \"0.58631635\",\n \"0.58463097\",\n \"0.58462137\",\n \"0.5831465\",\n \"0.5829826\",\n \"0.5822365\",\n \"0.5807782\",\n \"0.57900476\",\n \"0.5786874\",\n \"0.57826805\",\n \"0.57804936\",\n \"0.5764805\",\n \"0.5764805\",\n \"0.5761675\",\n \"0.5743644\",\n \"0.5741454\",\n \"0.5724589\",\n \"0.57183135\",\n \"0.57093996\",\n \"0.5701784\",\n \"0.569652\",\n \"0.56558377\",\n \"0.5651177\",\n \"0.5651082\",\n \"0.5649441\",\n \"0.56435275\",\n \"0.5641381\",\n \"0.5638101\",\n \"0.56321764\",\n \"0.5627839\",\n \"0.5627217\",\n \"0.56230897\",\n \"0.561976\",\n \"0.56068975\",\n \"0.55975854\",\n \"0.5591556\",\n \"0.5572347\",\n \"0.5571961\",\n \"0.55447274\",\n \"0.55446535\",\n \"0.5543165\",\n \"0.5527039\",\n \"0.55210775\",\n \"0.55161244\",\n \"0.550905\",\n \"0.55047107\",\n \"0.5494381\",\n \"0.5486426\",\n \"0.54854685\",\n \"0.54845077\",\n \"0.5472396\",\n \"0.54719245\",\n \"0.54712\",\n \"0.5468271\",\n \"0.54620504\",\n \"0.54549646\",\n \"0.5451956\",\n \"0.5448993\",\n \"0.5448993\",\n \"0.5439998\",\n \"0.5426513\",\n \"0.54264873\",\n \"0.5416541\",\n \"0.54101783\",\n \"0.5407018\",\n \"0.54055107\",\n \"0.5393295\",\n \"0.53900117\",\n \"0.53896785\",\n \"0.5389211\",\n \"0.5389211\",\n \"0.5384342\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":1494,"cells":{"query":{"kind":"string","value":"Called when a drop (drag/drop) event happens in the widget. Adjust method signature as appropriate for callback."},"document":{"kind":"string","value":"def drop_event(self, widget, event):\n # make a call back with a list of URLs that were dropped\n #self.logger.debug(\"dropped filename(s): %s\" % (str(paths)))\n #self.make_ui_callback('drag-drop', paths)\n raise NotImplementedError"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def dropEvent(self, de):\n # dragging a track\n if hasattr(Globals.dragObject, \"trackFrame\"):\n de.accept()\n trackFrame = Globals.dragObject.trackFrame\n oldParent = trackFrame.parentWidget()\n if oldParent:\n args = (trackFrame, self, oldParent.parentWidget())\n else:\n args = (trackFrame, self, None)\n self.emit(PYSIGNAL('dropped'), (args))\n # not yet used\n #Animation.animate(trackFrame, self, doneFunc=self.slotAnimationDone)","def on_drop(self):\n print(\"You have dropped\", self.name)","def dropEvent(self, event):\n\n # Get the id color to drop the items into\n drop_id_color = self.itemAt(event.pos())\n drop_id_color = self.invisibleRootItem() \\\n if drop_id_color is None else drop_id_color\n\n # If the drop position is not valid we pass\n if drop_id_color is None:\n event.ignore()\n return\n\n # If the drop position is not an id color item we pass\n if drop_id_color.data(0, QtCore.Qt.UserRole) != \"color\":\n event.ignore()\n return\n\n # Get the drop items - the selected tree items\n drop_items = [x for x in self.selectedItems()\n if x.data(0, QtCore.Qt.UserRole) == \"object\"] or None\n\n # If not items selected we pass\n if drop_items is None:\n event.ignore()\n return\n\n # Drop the items into the new tree parent\n self._drop_tree_items(drop_items, drop_id_color)\n\n event.accept()\n\n return None","def dropEvent(self, event):\n if event.mimeData().hasImage:\n event.setDropAction(Qt.CopyAction)\n file_path = event.mimeData().urls()[0].toLocalFile()\n self.set_image(file_path)\n self.folderLocation.setText(file_path)\n \n event.accept()\n else:\n event.ignore()","def dropEvent(self, event):\r\n source = event.mimeData()\r\n if source.hasUrls():\r\n files = mimedata2url(source)\r\n if files:\r\n files = [\"r'%s'\" % path for path in files]\r\n if len(files) == 1:\r\n text = files[0]\r\n else:\r\n text = \"[\" + \", \".join(files) + \"]\"\r\n self.shell.insert_text(text)\r\n elif source.hasText():\r\n lines = unicode(source.text())\r\n self.shell.set_cursor_position('eof')\r\n self.shell.execute_lines(lines)\r\n event.acceptProposedAction()","def dropEvent(self, event):\r\n source = event.mimeData()\r\n if source.hasUrls():\r\n files = mimedata2url(source)\r\n if files:\r\n self.plugin.load(files)\r\n elif source.hasText():\r\n editor = self.currentWidget()\r\n if editor is not None:\r\n editor.insert_text( source.text() )\r\n event.acceptProposedAction()","def _on_drop(self, event):\n data = event.mimeData().data(constants.QGRAPH_DD_MIME_TYPE)\n if not data.isNull():\n data_stream = QDataStream(data, QIODevice.ReadOnly)\n parsed = json.loads(data_stream.readString().decode('utf8'))\n\n # Refer to `mime.py` for docs about format\n version = parsed['version']\n if version not in (1, 2):\n raise ValueError(\"Unsupported version of QmxGraph MIME data: {}\".format(version))\n\n x = event.pos().x()\n y = event.pos().y()\n\n if version in (1, 2):\n vertices = parsed.get('vertices', [])\n scale = self.api.get_zoom_scale()\n for v in vertices:\n # place vertices with an offset so their center falls\n # in the event point.\n vertex_x = x + (v['dx'] - v['width'] * 0.5) * scale\n vertex_y = y + (v['dy'] - v['height'] * 0.5) * scale\n self.api.insert_vertex(\n x=vertex_x,\n y=vertex_y,\n width=v['width'],\n height=v['height'],\n label=v['label'],\n style=v.get('style', None),\n tags=v.get('tags', {}),\n )\n\n if version in (2,):\n decorations = parsed.get('decorations', [])\n for v in decorations:\n self.api.insert_decoration(\n x=x,\n y=y,\n width=v['width'],\n height=v['height'],\n label=v['label'],\n style=v.get('style', None),\n tags=v.get('tags', {}),\n )\n\n event.acceptProposedAction()\n else:\n event.ignore()","def dropEvent(self, event: QtGui.QDropEvent) -> None:\n if event.mimeData().hasImage:\n event.setDropAction(Qt.CopyAction)\n self.image = event.mimeData().urls()[0].toLocalFile()\n x = self.width()\n y = self.height()\n im = QPixmap(self.image).scaled(x, y) # , aspectRatioMode=Qt.KeepAspectRatio)\n im.save(os.getcwd() + \"/tmp.jpg\")\n self.image = (os.getcwd() + \"/tmp.jpg\")\n self.setPixmap(im)\n # self.setPixmap(QPixmap(self.image))\n self.setStyleSheet(\"\")\n event.accept()\n else:\n event.ignore()","def addDropListener(self, callback: 'callable'):\n self.getView().addDropListener(callback)","def dropEvent(self, QDropEvent):\n srcItems = self.selectedItems()\n dstInd = (self.indexAt(QDropEvent.pos()).row() + 1)\n kbMod = QDropEvent.keyboardModifiers()\n #-- Create New Items --#\n for n, srcItem in enumerate(srcItems):\n itemDict = self.treeParent.getItemDict(srcItem)\n newItem = self.treeParent.on_addVar(index=(dstInd + n))\n self.treeParent.setItem(newItem, **itemDict)\n #-- Remove Items --#\n if not kbMod == QtCore.Qt.ControlModifier:\n for srcItem in srcItems:\n self.takeTopLevelItem(self.indexOfTopLevelItem(srcItem))\n self.treeParent.reindexVar()","def dropMimeData(self, p_int, QMimeData, Qt_DropAction): # real signature unknown; restored from __doc__\r\n return False","def on_item_dropped(self, url):\n print 'Weld.on_item_dropped:', url\n #make sure all struct are present\n if not(self.project and self.project.level):\n print >> sys.stderr, 'it\\'s too early to drop stuff: '\\\n 'create a project and a level first !'\n return\n\n #retrieve data if it comes from weld\n if url in self.resMan:\n props = self.resMan.file_props(url)\n if props is None:\n print >> sys.stderr, curr_f(), ': url(\\'%s\\') in self.resMan '\\\n 'but can\\'t retrieve props.' % (url)\n return\n props = self.project.level.resMan.add_resource(self.resMan.base_path,\n props)\n url = props['url']\n if props == {} or url not in self.project.level.resMan:\n print >> sys.stderr, curr_f(), 'could not retrieve file and/or '\\\n 'dependencies for props:', pp(props)\n return\n\n #instanciate it\n if url in self.project.level.resMan:\n props = self.project.level.resMan.file_props(url)\n dtp = self.project.level.qsteelwidget.dropTargetPosition(Config.instance().drop_target_vec)\n props['position'] = dtp\n props['rotation'] = self.project.level.qsteelwidget.dropTargetRotation()\n if props['resource_type'] == 'meshes':\n props['meshName'] = props['name']\n self.project.level.instanciate(props)\n s = 'dropped agent \\'%s\\' with id %i' % (props['name'], props['agentId'])\n print s\n Ui.instance().show_status(s)\n else:\n Ui.instance().show_status('can only drop meshes so far')","def DoDrop(self, docks, panes, target, pt, offset=wx.Point(0, 0)):\r\n\r\n if target.IsToolbar():\r\n return self.DoDropToolbar(docks, panes, target, pt, offset)\r\n elif target.IsFloating():\r\n return self.DoDropFloatingPane(docks, panes, target, pt)\r\n else:\r\n return self.DoDropNonFloatingPane(docks, panes, target, pt)","def drag_and_drop_attempt():\n\n class InitialState(BaseState):\n \"\"\"\n Initial state for the SimpleGUI.\n \"\"\"\n\n def _on_enter(self, gui):\n \"\"\"\n Construct the buttons upon entering the state.\n\n :return:\n \"\"\"\n print(\"In initial state.\")\n\n '''Create drag and drop window'''\n gui.entry_sv = tk.StringVar()\n gui.drop_box_list = []\n gui.drop_box_items = tk.Listbox(master=gui.root, listvariable=gui.drop_box_list)\n gui.drop_box_text = tk.StringVar()\n gui.drop_box_text.set(\"Drop images here\")\n gui.entry = tk.Entry(gui.root, textvar=gui.drop_box_text, justify='center')\n gui.entry.config(font=(\"Courier\", 44))\n gui.entry.place(x = 200, y=200, width=800, height=800)\n #gui.entry.pack()\n gui.entry.drop_target_register(DND_FILES)\n gui.entry.dnd_bind('<<Drop>>', self.drop(gui))\n gui.update()\n\n def _on_exit(self, gui):\n \"\"\"\n Return the next state.\n\n :param gui:\n :return:\n \"\"\"\n gui.update()\n return WaitForDrop()\n\n def drop(self, gui):\n def _drop(event):\n files = root.tk.splitlist(event.data)\n gui.entry_sv.set(files)\n return _drop\n\n class WaitForDrop(BaseState):\n \"\"\"\n State for having buttons on.\n \"\"\"\n\n def _on_enter(self, gui):\n \"\"\"\n\n :param gui:\n :return:\n \"\"\"\n print(\"In wait for drop state.\")\n\n def _state_main(self, gui):\n \"\"\"\n The main code for the ButtonsOn state.\n\n :param gui:\n :return:\n \"\"\"\n gui.entry.wait_variable(gui.entry_sv)\n\n '''Clean string'''\n files = literal_eval(gui.entry_sv.get())\n\n '''Remove previous images'''\n if hasattr(gui, \"panel\"):\n gui.panel.destroy()\n\n '''Load each image'''\n for file_name in files:\n file_name = file_name.replace(\"{\", \"\").replace(\"}\", \"\")\n # image = tk.PhotoImage(file=file_name)\n if \".CR2\" in file_name:\n '''Rawpy implementation'''\n file_image = rawpy.imread(file_name)\n file_image = file_image.postprocess()\n '''Rawkit implementation'''\n '''file_image = Raw(file_name)\n file_image = np.array(file_image.to_buffer())'''\n '''OpenCV implementation'''\n '''file_image = cv2.imread(file_name)'''\n else:\n file_image = Image.open(file_name)\n '''image = file_image.resize((500, 500), Image.ANTIALIAS)\n image = ImageTk.PhotoImage(image)\n gui.panel = tk.Label(gui.root, image=image)\n gui.panel.image = image\n gui.panel.pack()'''\n # panel.grid(row=2)\n\n image_data = np.array(file_image)\n image_data = cv2.cvtColor(image_data, cv2.COLOR_RGB2GRAY)\n '''print(image_data.shape)\n print(image_data)\n print(len(image_data))\n print(len(image_data[0]))'''\n returned_image = Image.fromarray(image_data)\n '''cv2.imshow(\"Gray\", image_data)\n cv2.waitKey()\n cv2.destroyWindow(\"Gray\")'''\n\n '''enhanced_contrast = ImageEnhance.Contrast(Image.fromarray(file_image))\n enhanced_image = enhanced_contrast.enhance(255)\n enhanced_data = np.array(enhanced_image)\n plot_functions.imshow(enhanced_image)\n plot_functions.show()'''\n\n # color_space = cv2.cvtColor(image_data, cv2.COLOR_RGB2HSV)\n # print(color_space)\n \n '''Create mask for white-ish pixels'''\n '''lower_background = np.array([150, 150, 150])\n upper_background = np.array([255, 255, 255])\n print(image_data)\n white_mask = cv2.inRange(image_data, lower_background, upper_background)\n white_mask = cv2.morphologyEx(white_mask, cv2.MORPH_OPEN, np.ones((3,3),np.uint8))\n white_mask = cv2.morphologyEx(white_mask, cv2.MORPH_DILATE, np.ones((3, 3), np.uint8))\n white_mask = white_mask / 255'''\n\n '''Create mask for black-ish pixels'''\n '''lower_background = np.array([0, 0, 0])\n upper_background = np.array([25, 25, 25])\n black_mask = cv2.inRange(image_data, lower_background, upper_background)\n black_mask = cv2.morphologyEx(black_mask, cv2.MORPH_OPEN, np.ones((3, 3), np.uint8))\n black_mask = cv2.morphologyEx(black_mask, cv2.MORPH_DILATE, np.ones((3, 3), np.uint8))\n black_mask = black_mask / 255'''\n\n '''Add masks together'''\n '''background_mask = white_mask\n # Ensure no value is above 1\n background_mask = np.clip(background_mask, 0, 1)'''\n \n copied_image_data = np.asarray(returned_image).copy()\n # background_mask = np.logical_not(background_mask)\n '''for row_index, [mask_row, image_row] in enumerate(zip(background_mask, copied_image_data)):\n # place black pixel on corresponding masked pixels\n # copied_image_data[row_index] = np.array([image_row[pixel] * int(mask_row[pixel]) for pixel in range(len(mask_row))])\n # make pixel fully white on corresponding masked pixels\n copied_image_data[row_index] = np.array([np.array([255, 255, 255]) if int(mask_row[pixel]) else image_row[pixel] for pixel in range(len(mask_row))])'''\n\n '''Turn removed pixels red'''\n '''mask_image = Image.fromarray(copied_image_data)\n plot_functions.imshow(mask_image)\n plot_functions.show()'''\n trapezoid_data = copied_image_data.copy()\n\n enhanced_contrast = ImageEnhance.Contrast(Image.fromarray(trapezoid_data))\n enhanced_image = enhanced_contrast.enhance(255)\n trapezoid_data = np.array(enhanced_image)\n\n '''Detect lines'''\n edges = cv2.Canny(trapezoid_data, 75, 150)\n lines = cv2.HoughLinesP(edges, 1, np.pi / 180, 100, maxLineGap=1000)\n # print(lines)\n for line in lines:\n x1, y1, x2, y2 = line[0]\n if y1 == y2:\n cv2.line(copied_image_data, (x1, y1), (x2, y2), (255, 255, 255), 1)\n\n '''Trapezoid attempt'''\n\n # filters image bilaterally and displays it\n bilatImg = cv2.bilateralFilter(trapezoid_data, 5, 175, 175)\n\n # finds edges of bilaterally filtered image and displays it\n edgeImg = cv2.Canny(bilatImg, 75, 200)\n\n # gets contours (outlines) for shapes and sorts from largest area to smallest area\n contours, hierarchy = cv2.findContours(edgeImg, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\n contours = sorted(contours, key=cv2.contourArea, reverse=True)\n\n # drawing red contours on the image\n for con in contours:\n cv2.drawContours(trapezoid_data, con, -1, (255, 255, 255), 3)\n\n '''Detect corners'''\n dst = cv2.cornerHarris(edges, 30, 31, 0.001)\n dst = cv2.dilate(dst, None)\n ret, dst = cv2.threshold(dst, 0.01 * dst.max(), 255, 0)\n dst = np.uint8(dst)\n\n # find centroids\n ret, labels, stats, centroids = cv2.connectedComponentsWithStats(dst)\n # define the criteria to stop and refine the corners\n criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100,\n 0.001)\n corners = cv2.cornerSubPix(edges, np.float32(centroids), (5, 5),\n (-1, -1), criteria)\n\n good_corners = []\n for corner in corners:\n if (corner[1] < 1000) & (corner[1] > 650) & (corner[0] > 250) & (corner[0] < 2250):\n good_corners.append(corner)\n cv2.circle(edges, (corner[0], corner[1]), 10, (255, 255, 255))\n\n print(good_corners)\n if len(good_corners) >= 3:\n corner_combos = itertools.combinations(good_corners, 3)\n elif len(good_corners) > 1:\n corner_combos = itertools.combinations(good_corners, 2)\n\n best_corner_combo = None\n best_coef = np.inf\n for corner_combo in corner_combos:\n regression = LinearRegression().fit(np.array([corner[0] for corner in corner_combo]).reshape(-1, 1),\n np.array([corner[1] for corner in corner_combo]))\n if np.abs(regression.coef_) < best_coef:\n best_coef = np.abs(regression.coef_)\n best_corner_combo = np.array([corner[1] for corner in corner_combo])\n\n y_edge = int(round(np.mean(best_corner_combo)))\n edges = edges[y_edge:3000, 200:2200]\n copied_image_data = copied_image_data[y_edge:2500, 200:2200]\n trapezoid_data = trapezoid_data[y_edge:2500, 200:2200]\n\n # and double-checking the outcome\n cv2.imshow(\"linesEdges\", edges)\n cv2.imshow(\"linesDetected\", copied_image_data)\n cv2.imshow(\"Contours check\", trapezoid_data)\n cv2.waitKey()\n cv2.destroyWindow(\"Contours check\")\n\n # find the perimeter of the first closed contour\n perim = cv2.arcLength(contours[0], True)\n # setting the precision\n epsilon = 0.02 * perim\n # approximating the contour with a polygon\n approxCorners = cv2.approxPolyDP(contours[0], epsilon, True)\n # check how many vertices has the approximate polygon\n approxCornersNumber = len(approxCorners)\n\n for corners in approxCorners:\n cv2.circle(trapezoid_data, (corners[0], corners[1]), radius=10, color=(255, 255, 255), thickness=-1)\n cv2.imshow(\"Vertex position\", trapezoid_data)\n cv2.waitKey()\n cv2.destroyWindow(\"Vertex position\")\n cv2.imshow(\"linesEdges\", edges)\n cv2.imshow(\"linesDetected\", copied_image_data)\n cv2.waitKey(0)\n cv2.destroyAllWindows()\n\n def _on_exit(self, gui):\n if gui.program_running:\n gui.update()\n return WaitForDrop()\n else:\n return None\n\n class DragAndDropGUI:\n \"\"\"\n Object for a simple gui.\n \"\"\"\n\n def __init__(self, root):\n \"\"\"\n Initializing the SimpleGUI object.\n \"\"\"\n self.root = root\n w, h = root.winfo_screenwidth(), self.root.winfo_screenheight()\n self.root.geometry(\"%dx%d+0+0\" % (w, h))\n self.root.protocol(\"WM_DELETE_WINDOW\", self.end_program)\n self.program_running = True\n\n def update(self):\n \"\"\"\n Update the GUI.\n\n :return:\n \"\"\"\n self.root.update_idletasks()\n self.root.update()\n return self.root\n\n def end_program(self):\n \"\"\"\n Ends the program.\n\n :return:\n \"\"\"\n if self.entry_sv.get() != \" \":\n self.entry_sv.set(\" \")\n else:\n self.entry_sv.set(\"!\")\n self.root.destroy()\n self.program_running = False\n\n '''Initialize and run GUI object'''\n root = tkinterdnd2.Tk()\n # Maximize window while maintaining title bar\n gui = DragAndDropGUI(root)\n state_machine = StateMachine(initial_state=InitialState())\n state_machine.run(gui)","def dropEvent(self, e: QtGui.QDropEvent):\n src = e.source()\n if src is not self:\n for item in src.selectedItems():\n clone = item.clone()\n clone.setFlags(clone.flags() | Qt.ItemIsEditable)\n self.addTopLevelItem(clone)\n super().dropEvent(e) # Call the original function","def drop(self, event):\n self.config(cursor='arrow')","def player_drop(self, item):\n dropped = self.drop(item)\n if dropped:\n self.handler.message_box.add_msg(\"You drop the {}!\".format(dropped),\n data.COLOURS['player_item_text'])","def mouseReleaseEvent (self, event):\n if self.itemMoved:\n self.parentWidget.DataChanged.emit()\n self.itemMoved = False; \n super(DiagramItem, self).mouseReleaseEvent(event)","def mouseMoveEvent(self, e):\n if e.buttons() != Qt.LeftButton:\n return\n\n mimeData = QtCore.QMimeData()\n mimeData.setData(\n app.NODE_MIMETYPE,\n QtCore.QByteArray(bytes('data string', 'utf-8')),\n )\n\n drag = QtGui.QDrag(self)\n drag.setMimeData(mimeData)\n drag.setHotSpot(e.pos() - self.rect().topLeft())\n \n dropAction = drag.exec_(Qt.MoveAction)","def drop(self):\n init_x = self.x\n init_y = self.y\n init_z = self.z\n drop_z = self.drop_height\n \n #drop to given height\n self.move_to(init_x, init_y, drop_z)\n \n #open gripper\n self.gripper.command_position(100)\n \n #return to initial position\n self.move_to(init_x, init_y, init_z)","def dragEnterEvent(self, event):","def drag_and_drop(self, droppable):\n self.scroll_to()\n ActionChains(self.driver).drag_and_drop(\n self._element,\n droppable._element,\n ).perform()","def slider_dragged(self):\n pass","def SetCallbackFunc( self, dropCallbacFunc=None ) :\n \n # Create a dropFiles event association for this control.\n # [ SetDropTarget ] is a built-in method for (all ?) controls.\n self.folderDropTarget.SetDropTarget( ddt.FilesDropTarget( self.folderDropTarget ) )\n \n # Install the callback-function for this class's parent-widget dropFiles-event.\n self.folderDropTarget.dropFunc = dropCallbacFunc","def drag_data_received(self, widget, context, x, y, sel_data, info, time):\n if not sel_data:\n return\n #modern file managers provide URI_LIST. For Windows split sel_data.data\n files = sel_data.get_uris()\n for file in files:\n if win():\n clean_string = conv_to_unicode(\n file.replace('\\0',' ').replace(\"\\r\", \" \").strip(),\n None)\n else:\n clean_string = file\n protocol, site, mfile, j, k, l = urlparse(clean_string)\n if protocol == \"file\":\n name = url2pathname(mfile)\n mime = get_type(name)\n if not is_valid_type(mime):\n return\n photo = MediaObject()\n self.uistate.set_busy_cursor(True)\n photo.set_checksum(create_checksum(name))\n self.uistate.set_busy_cursor(False)\n base_dir = cuni(media_path(self.dbstate.db))\n if os.path.exists(base_dir):\n name = relative_path(name, base_dir)\n photo.set_path(name)\n photo.set_mime_type(mime)\n basename = os.path.basename(name)\n (root, ext) = os.path.splitext(basename)\n photo.set_description(root)\n with DbTxn(_(\"Drag Media Object\"), self.dbstate.db) as trans:\n self.dbstate.db.add_object(photo, trans)\n widget.emit_stop_by_name('drag_data_received')","def dragMoveEvent(self, event):\n if event.mimeData().hasImage:\n event.accept()\n else:\n event.ignore()","def drag_and_drop(self,param,ignore_error_handle = False):\n message = {}\n origin_element = param.get('origin',None);\n destination_element = param.get('destination',None);\n step = 'drag a element to another element'\n try:\n self.driver.drag_and_drop(origin_element,destination_element);\n message = self.feedback.feedback_action_ok(step);\n except BaseException,e:\n message = self.feedback.feedback_action_fail(step,str(e),ignore_error_handle);\n finally:\n return message;","def button_release_cb(self, darea, event):\n self.oldx, self.oldy = event.x, event.y\n self.draw_pointer(self.cr, None, None)\n self.queue_draw()\n self.oldx, self.oldy = None, None\n self.emit('end-dnd')\n return True","def _fire_dropping(self):\n\t\tif len(self.droppings) < self.settings.droppings_allowed:\n\t\t\tnew_dropping = Dropping(self)\n\t\t\tself.droppings.add(new_dropping)","def button_press_cb(self, darea, event):\n x, y = event.x, event.y\n self.draw_pointer(self.cr, x, y)\n self.queue_draw()\n self.oldx, self.oldy = x, y\n rel_x, rel_y = self.absolute_to_relative(x, y)\n self.emit('dnd-value', rel_x, rel_y)\n self.emit('start-dnd')\n return True","def mouseMoveEvent(self, e):\n if self.mousePressed:\n Globals.dragObject = QTextDrag('PKSampler: dragging a track', self)\n Globals.dragObject.trackFrame = self\n Globals.dragObject.dragCopy()","def mouseDragged(self, point, delta):\n pass","def _dropMove(self, point: QPoint, selectedFiles: List[QModelIndex]) -> None:\n selectedFiles = [self._currPath.joinpath(x.data()) for i, x in enumerate(selectedFiles)\n if i % len(self._modelHeaders) == 0]\n try:\n filename = self._mainFileView.indexAt(point).siblingAtColumn(0).data()\n dest = self._currPath.joinpath(filename)\n if dest.is_file():\n return\n duplicates = []\n for src in selectedFiles:\n dest = self._currPath.joinpath(filename).joinpath(src.name)\n if str(src) in str(dest):\n return\n if dest.exists():\n duplicates.append(dest)\n if duplicates:\n if self._overwriteFileMsgBox(duplicates) == QMessageBox.Cancel:\n return\n for src in selectedFiles:\n dest = self._currPath.joinpath(filename).joinpath(src.name)\n if not src.exists():\n raise FileNotFoundError\n if src.is_file():\n shutil.move(str(src), str(dest))\n elif src.is_dir():\n dir_util.copy_tree(str(src), str(dest))\n shutil.rmtree(src)\n except FileNotFoundError:\n self._statusBar.showMessage('File not found!', 3000)\n except TypeError: # when the files are dropped on empty area\n pass\n finally:\n self._listDirectories()","def do_drop(self, arg):\r\n\r\n # put this value in a more suitably named variable\r\n itemToDrop = arg.lower()\r\n\r\n # get a list of all \"description words\" for each item in the inventory\r\n invDescWords = getAllDescWords(inventory)\r\n\r\n # find out if the player doesn't have that item\r\n if itemToDrop not in invDescWords:\r\n print('You do not have \"%s\" in your inventory.' % (itemToDrop))\r\n return\r\n\r\n # get the item name that the player's command describes\r\n item = getFirstItemMatchingDesc(itemToDrop, inventory)\r\n if item != None:\r\n print('You drop %s.' % (worldItems[item][SHORTDESC]))\r\n inventory.remove(item) # remove from inventory\r\n worldRooms[location][GROUND].append(item) # add to the ground\r","def OnTabEndDrag(self, event):\r\n\r\n tabs = event.GetEventObject()\r\n if not tabs.GetEnabled(event.GetSelection()):\r\n return\r\n\r\n self._mgr.HideHint()\r\n\r\n src_tabs = event.GetEventObject()\r\n if not src_tabs:\r\n raise Exception(\"no source object?\")\r\n\r\n src_tabs.SetCursor(wx.StockCursor(wx.CURSOR_ARROW))\r\n\r\n # get the mouse position, which will be used to determine the drop point\r\n mouse_screen_pt = wx.GetMousePosition()\r\n mouse_client_pt = self.ScreenToClient(mouse_screen_pt)\r\n\r\n # check for an external move\r\n if self._agwFlags & AUI_NB_TAB_EXTERNAL_MOVE:\r\n tab_ctrl = wx.FindWindowAtPoint(mouse_screen_pt)\r\n\r\n while tab_ctrl:\r\n \r\n if isinstance(tab_ctrl, AuiTabCtrl):\r\n break\r\n \r\n tab_ctrl = tab_ctrl.GetParent()\r\n \r\n if tab_ctrl:\r\n \r\n nb = tab_ctrl.GetParent()\r\n\r\n if nb != self:\r\n \r\n # find out from the destination control\r\n # if it's ok to drop this tab here\r\n e = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_ALLOW_DND, self.GetId())\r\n e.SetSelection(event.GetSelection())\r\n e.SetOldSelection(event.GetSelection())\r\n e.SetEventObject(self)\r\n e.SetDragSource(self)\r\n e.Veto() # dropping must be explicitly approved by control owner\r\n\r\n nb.GetEventHandler().ProcessEvent(e)\r\n\r\n if not e.IsAllowed():\r\n \r\n # no answer or negative answer\r\n self._mgr.HideHint()\r\n return\r\n \r\n # drop was allowed\r\n src_idx = event.GetSelection()\r\n src_page = src_tabs.GetWindowFromIdx(src_idx)\r\n\r\n # Check that it's not an impossible parent relationship\r\n p = nb\r\n while p and not p.IsTopLevel():\r\n if p == src_page:\r\n return\r\n \r\n p = p.GetParent()\r\n\r\n # get main index of the page\r\n main_idx = self._tabs.GetIdxFromWindow(src_page)\r\n if main_idx == wx.NOT_FOUND:\r\n raise Exception(\"no source page?\")\r\n\r\n # make a copy of the page info\r\n page_info = self._tabs.GetPage(main_idx)\r\n\r\n # remove the page from the source notebook\r\n self.RemovePage(main_idx)\r\n\r\n # reparent the page\r\n src_page.Reparent(nb)\r\n\r\n # Reparent the control in a tab (if any)\r\n if page_info.control:\r\n self.ReparentControl(page_info.control, tab_ctrl)\r\n\r\n # find out the insert idx\r\n dest_tabs = tab_ctrl\r\n pt = dest_tabs.ScreenToClient(mouse_screen_pt)\r\n\r\n target = dest_tabs.TabHitTest(pt.x, pt.y)\r\n insert_idx = -1\r\n if target:\r\n insert_idx = dest_tabs.GetIdxFromWindow(target)\r\n\r\n # add the page to the new notebook\r\n if insert_idx == -1:\r\n insert_idx = dest_tabs.GetPageCount()\r\n \r\n dest_tabs.InsertPage(page_info.window, page_info, insert_idx)\r\n nb._tabs.AddPage(page_info.window, page_info)\r\n\r\n nb.DoSizing()\r\n dest_tabs.DoShowHide()\r\n dest_tabs.Refresh()\r\n\r\n # set the selection in the destination tab control\r\n nb.SetSelectionToPage(page_info)\r\n\r\n # notify owner that the tab has been dragged\r\n e2 = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_DRAG_DONE, self.GetId())\r\n e2.SetSelection(event.GetSelection())\r\n e2.SetOldSelection(event.GetSelection())\r\n e2.SetEventObject(self)\r\n self.GetEventHandler().ProcessEvent(e2)\r\n\r\n return\r\n\r\n if self._agwFlags & AUI_NB_TAB_FLOAT:\r\n self._mgr.HideHint() \r\n if self.IsMouseWellOutsideWindow(): \r\n # Use CallAfter so we our superclass can deal with the event first\r\n wx.CallAfter(self.FloatPage, self.GetSelection())\r\n event.Skip()\r\n return\r\n \r\n # only perform a tab split if it's allowed\r\n dest_tabs = None\r\n\r\n if self._agwFlags & AUI_NB_TAB_SPLIT and self._tabs.GetPageCount() >= 2:\r\n \r\n # If the pointer is in an existing tab frame, do a tab insert\r\n hit_wnd = wx.FindWindowAtPoint(mouse_screen_pt)\r\n tab_frame = self.GetTabFrameFromTabCtrl(hit_wnd)\r\n insert_idx = -1\r\n \r\n if tab_frame:\r\n \r\n dest_tabs = tab_frame._tabs\r\n\r\n if dest_tabs == src_tabs:\r\n return\r\n\r\n pt = dest_tabs.ScreenToClient(mouse_screen_pt)\r\n target = dest_tabs.TabHitTest(pt.x, pt.y)\r\n \r\n if target: \r\n insert_idx = dest_tabs.GetIdxFromWindow(target)\r\n \r\n else:\r\n \r\n zero = wx.Point(0, 0)\r\n rect = self._mgr.CalculateHintRect(self._dummy_wnd, mouse_client_pt, zero)\r\n \r\n if rect.IsEmpty():\r\n # there is no suitable drop location here, exit out\r\n return\r\n \r\n # If there is no tabframe at all, create one\r\n new_tabs = TabFrame(self)\r\n new_tabs._rect = wx.RectPS(wx.Point(0, 0), self.CalculateNewSplitSize())\r\n new_tabs.SetTabCtrlHeight(self._tab_ctrl_height)\r\n self._tab_id_counter += 1\r\n new_tabs._tabs = AuiTabCtrl(self, self._tab_id_counter)\r\n new_tabs._tabs.SetArtProvider(self._tabs.GetArtProvider().Clone())\r\n new_tabs._tabs.SetAGWFlags(self._agwFlags)\r\n\r\n self._mgr.AddPane(new_tabs, framemanager.AuiPaneInfo().Bottom().CaptionVisible(False), mouse_client_pt)\r\n self._mgr.Update()\r\n dest_tabs = new_tabs._tabs\r\n \r\n # remove the page from the source tabs\r\n page_info = src_tabs.GetPage(event.GetSelection())\r\n\r\n if page_info.control:\r\n self.ReparentControl(page_info.control, dest_tabs)\r\n\r\n page_info.active = False\r\n src_tabs.RemovePage(page_info.window)\r\n\r\n if src_tabs.GetPageCount() > 0: \r\n src_tabs.SetActivePage(0)\r\n src_tabs.DoShowHide()\r\n src_tabs.Refresh()\r\n\r\n # add the page to the destination tabs\r\n if insert_idx == -1:\r\n insert_idx = dest_tabs.GetPageCount()\r\n\r\n dest_tabs.InsertPage(page_info.window, page_info, insert_idx)\r\n \r\n if src_tabs.GetPageCount() == 0:\r\n self.RemoveEmptyTabFrames()\r\n\r\n self.DoSizing()\r\n dest_tabs.DoShowHide()\r\n dest_tabs.Refresh()\r\n\r\n # force the set selection function reset the selection\r\n self._curpage = -1\r\n\r\n # set the active page to the one we just split off\r\n self.SetSelectionToPage(page_info)\r\n\r\n self.UpdateHintWindowSize()\r\n \r\n # notify owner that the tab has been dragged\r\n e = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_DRAG_DONE, self.GetId())\r\n e.SetSelection(event.GetSelection())\r\n e.SetOldSelection(event.GetSelection())\r\n e.SetEventObject(self)\r\n self.GetEventHandler().ProcessEvent(e)","def _on_enter(self, gui):\n print(\"In initial state.\")\n\n '''Create drag and drop window'''\n gui.entry_sv = tk.StringVar()\n gui.drop_box_list = []\n gui.drop_box_items = tk.Listbox(master=gui.root, listvariable=gui.drop_box_list)\n gui.drop_box_text = tk.StringVar()\n gui.drop_box_text.set(\"Drop images here\")\n gui.entry = tk.Entry(gui.root, textvar=gui.drop_box_text, justify='center')\n gui.entry.config(font=(\"Courier\", 44))\n gui.entry.place(x = 200, y=200, width=800, height=800)\n #gui.entry.pack()\n gui.entry.drop_target_register(DND_FILES)\n gui.entry.dnd_bind('<<Drop>>', self.drop(gui))\n gui.update()","def DoDropPane(self, panes, target, dock_direction, dock_layer, dock_row, dock_pos):\r\n \r\n drop = self.CopyTarget(target)\r\n panes = DoInsertPane(panes, dock_direction, dock_layer, dock_row, dock_pos)\r\n\r\n drop.Dock().Direction(dock_direction).Layer(dock_layer).Row(dock_row).Position(dock_pos)\r\n return self.ProcessDockResult(target, drop)","def drag_and_drop(self, source_selector, target_selector):\n self._wait_element_localed(self.driver, source_selector)\n source = self.get_element(source_selector)\n self._wait_element_localed(self.driver, target_selector)\n target = self.get_element(target_selector)\n ActionChains(self.driver).drag_and_drop(source, target)","def _ondrag(self, item, fun, num=1, add=None):\n if fun is None:\n self.cv.tag_unbind(item, \"<Button%s-Motion>\" % num)\n else:\n def eventfun(event):\n try:\n x, y = (self.cv.canvasx(event.x)/self.xscale,\n -self.cv.canvasy(event.y)/self.yscale)\n fun(x, y)\n except Exception:\n pass\n self.cv.tag_bind(item, \"<Button%s-Motion>\" % num, eventfun, add)","def process_dropped_data(self, item, origin: str, path: Path):\n\n layer_type_origin_map = {\n PRESENTATION: LayerType.PRESENTATION,\n PRIMARY: LayerType.PRIMARY,\n SECONDARY: LayerType.SECONDARY\n }\n\n bounding_rect = item.boundingRect()\n\n pos = Position(item.x() * SVG_SCALE_FACTOR, item.y() * SVG_SCALE_FACTOR, item.zValue())\n\n size = Size(bounding_rect.width() * SVG_SCALE_FACTOR, bounding_rect.height() * SVG_SCALE_FACTOR)\n\n if origin == BACKGROUND:\n self.__template.set_background(str(path), size=size)\n else:\n try:\n layer = self.__template.add_layer(pos=pos, size=size, _type=layer_type_origin_map[origin])\n except NoBaseSvgError as err:\n self.removeItem(item)\n error_dialog = QErrorMessage(self.parent())\n error_dialog.showMessage(str(err))\n else:\n self.__template.map_layer_with_item(layer, graphic_item=item)","def dragMoveEvent(self, event: QtGui.QDragMoveEvent) -> None:\n if event.mimeData().hasImage:\n event.accept()\n else:\n event.ignore()","def OnTokenButtonRelease(self, event):\n self._drag_data = {\"x\": 0, \"item\": None}\n\n # Rebind the main GUI buttons because they are unbinded while dragging the beats\n self.myMainGUI.root.after(200, self.myMainGUI.bindButtons)","def drop_inventory(self):\n header = \"Choose item to drop:\\n\"\n def drop(get_gameworld_cell, x, y, item):\n item_entity = ItemPickup([item], x, y, get_gameworld_cell)\n events.trigger_event(\"world_add_entity\", item_entity)\n self.inventory.remove(item)\n action_list = [(item, functools.partial(drop, get_gameworld_cell=self.get_gameworld_cell, x=self.x, y=self.y, item=item)) for item in self.inventory]\n if len(action_list) == 0:\n header += \"You hold nothing!\"\n events.trigger_event(\"print_list\", action_list, header=header)","def OnLeftUp_DragFloatingPane(self, eventOrPt):\r\n\r\n if isinstance(eventOrPt, wx.Point):\r\n clientPt = self._frame.ScreenToClient(eventOrPt)\r\n screenPt = wx.Point(*eventOrPt)\r\n else:\r\n clientPt = eventOrPt.GetPosition()\r\n screenPt = self._frame.ClientToScreen(clientPt)\r\n\r\n # try to find the pane\r\n paneInfo = self.GetPane(self._action_window)\r\n if not paneInfo.IsOk():\r\n raise Exception(\"Pane window not found\")\r\n\r\n ret = False\r\n \r\n if paneInfo.frame:\r\n \r\n # calculate the offset from the upper left-hand corner\r\n # of the frame to the mouse pointer\r\n framePos = paneInfo.frame.GetPosition()\r\n action_offset = screenPt - framePos\r\n\r\n # is the pane dockable?\r\n if self.CanDockPanel(paneInfo):\r\n # do the drop calculation\r\n indx = self._panes.index(paneInfo)\r\n ret, paneInfo = self.DoDrop(self._docks, self._panes, paneInfo, clientPt, action_offset)\r\n\r\n if ret:\r\n e = self.FireEvent(wxEVT_AUI_PANE_DOCKING, paneInfo, canVeto=True)\r\n if e.GetVeto():\r\n self.HideHint()\r\n ShowDockingGuides(self._guides, False)\r\n return\r\n\r\n e = self.FireEvent(wxEVT_AUI_PANE_DOCKED, paneInfo, canVeto=False)\r\n\r\n if self._agwFlags & AUI_MGR_SMOOTH_DOCKING:\r\n self.SmoothDock(paneInfo)\r\n\r\n self._panes[indx] = paneInfo\r\n \r\n # if the pane is still floating, update it's floating\r\n # position (that we store)\r\n if paneInfo.IsFloating():\r\n paneInfo.floating_pos = paneInfo.frame.GetPosition()\r\n if paneInfo.frame._transparent != paneInfo.transparent or self._agwFlags & AUI_MGR_TRANSPARENT_DRAG:\r\n paneInfo.frame.SetTransparent(paneInfo.transparent)\r\n paneInfo.frame._transparent = paneInfo.transparent\r\n \r\n elif self._has_maximized:\r\n self.RestoreMaximizedPane()\r\n \r\n # reorder for dropping to a new notebook\r\n # (caution: this code breaks the reference!)\r\n tempPaneInfo = self.CopyTarget(paneInfo)\r\n self._panes.remove(paneInfo)\r\n self._panes.append(tempPaneInfo)\r\n\r\n if ret:\r\n self.Update()\r\n\r\n self.HideHint()\r\n ShowDockingGuides(self._guides, False)","def _on_exit(self, gui):\n gui.update()\n return WaitForDrop()","def _drop_tree_items(self, drop_items, drop_id_color):\n\n # Block the selection signals while we process the drop\n self.selectSignalBlocked = True\n\n # Get the drop id color parent - the aov id tree widget item\n drop_id_set = drop_id_color.parent()\n\n # Drop the items into the new parent\n for item in drop_items:\n if item.parent().parent().text(0) != drop_id_color.parent().text(0):\n drop_items.remove(item)\n else:\n item.parent().removeChild(item)\n\n drop_id_color.insertChildren(0, drop_items)\n\n # Set the items as selected\n for item in drop_items:\n item.setSelected(True)\n\n # Set new idColor - need to optimize!\n utils.set_attribute_id(item.data(1, QtCore.Qt.UserRole),\n drop_id_set.data(1, QtCore.Qt.UserRole),\n drop_id_color.data(1, QtCore.Qt.UserRole))\n\n # Set the new parent as expanded so we can see the dropped items\n drop_id_color.setExpanded(True)\n\n # Unblock the selection change signals\n self.selectSignalBlocked = False\n\n return None","def handle_actor_drop(data: bytes) -> Tuple[bytes, str]:\n # TODO: reverse first 9 bytes\n item_id = struct.unpack('I', data[:4])[0]\n unknown = struct.unpack('I', data[4:8])[0] # noqa: F841\n unknown2 = data[9] # noqa: F841\n item_name_length = struct.unpack('H', data[9:11])[0]\n item_name = data[11:11+item_name_length].decode(helpers.ENCODING)\n x, y, z = struct.unpack('fff',\n data[11+item_name_length:11+item_name_length+3*4])\n\n message = f'[{item_id}] {item_name} dropped at: {x} {y} {z}'\n\n # Pick up drops automatically\n if \"Drop\" in item_name:\n message += f'\\n\\t;) Auto-looting {item_id}'\n packet = struct.pack('=HI', 0x6565, item_id)\n helpers.PACKET_QUEUE.put(packet)\n # TODO: not sure about last few bytes\n return data[11+item_name_length+3*4:], message","def drop(self):\n pass","def drop(self):\n pass","def drop(self, item: Item):\n self.items.remove(item)\n item.place(self.parent.x, self.parent.y, self.gamemap)\n\n self.engine.message_log.add_message(f'You yeeted the {item.name}.')","def toolDropped(*args, **kwargs)->None:\n pass","def DoDropLayer(self, docks, target, dock_direction):\r\n\r\n drop = self.CopyTarget(target)\r\n \r\n if dock_direction == AUI_DOCK_LEFT:\r\n drop.Dock().Left()\r\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_LEFT),\r\n GetMaxLayer(docks, AUI_DOCK_BOTTOM)),\r\n GetMaxLayer(docks, AUI_DOCK_TOP)) + 1\r\n\r\n elif dock_direction == AUI_DOCK_TOP:\r\n drop.Dock().Top()\r\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_TOP),\r\n GetMaxLayer(docks, AUI_DOCK_LEFT)),\r\n GetMaxLayer(docks, AUI_DOCK_RIGHT)) + 1\r\n\r\n elif dock_direction == AUI_DOCK_RIGHT:\r\n drop.Dock().Right()\r\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_RIGHT),\r\n GetMaxLayer(docks, AUI_DOCK_TOP)),\r\n GetMaxLayer(docks, AUI_DOCK_BOTTOM)) + 1\r\n\r\n elif dock_direction == AUI_DOCK_BOTTOM:\r\n drop.Dock().Bottom()\r\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_BOTTOM),\r\n GetMaxLayer(docks, AUI_DOCK_LEFT)),\r\n GetMaxLayer(docks, AUI_DOCK_RIGHT)) + 1\r\n\r\n else:\r\n return False, target\r\n \r\n\r\n drop.Dock().Layer(drop_new_layer)\r\n return self.ProcessDockResult(target, drop)","def OnCaptureLost(self, event):\r\n\r\n if self._is_dragging:\r\n self._is_dragging = False\r\n self._on_button = False\r\n\r\n if self._drag_image:\r\n self._drag_image.EndDrag()\r\n del self._drag_image\r\n self._drag_image = None\r\n \r\n event = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_CANCEL_DRAG, self.GetId())\r\n event.SetSelection(self.GetIdxFromWindow(self._click_tab))\r\n event.SetOldSelection(event.GetSelection())\r\n event.SetEventObject(self)\r\n self.GetEventHandler().ProcessEvent(event)","def process_IN_UNMOUNT(self, event):","def _on_articles_dropped_to_trash(self, evt):\n \n # get articles\n articles = [core.Article(dbid=i) for i in evt.articles_dbids]\n \n # update library\n self._library.trash(articles, True)\n \n # refresh collections view\n self._collections_view.UpdateCounts()\n \n # refresh articles view\n self._articles_view.ShowArticles()","def drop(self, oldpos, fieldgroup, currentplayer):\n\t\ttry:\n\t\t\tdropped_on = pygame.sprite.spritecollide(self,\n\t\t\t\t\t\t\t\t\t fieldgroup,\n\t\t\t\t\t\t\t\t\t False)[0]\n\t\t\tif dropped_on.type == \"home\":\n\t\t\t\tcurrentplayer[\"meeples_home\"] += 1\n\t\t\telif dropped_on.id == currentplayer.name*10:\n\t\t\t\tcurrentplayer.meeples_out -= 1\n\t\t\tself.grabbed = False\n\n\t\t\treturn True\n\t\texcept:\n\t\t\tself.rect = oldpos\n\t\t\tself.grabbed = False\n\t\t\treturn False","def dnd_end(self, target, event):\n\n self._dnd_started = False\n\n if self._dnd_source and self.rgb:\n # Re-bind events that are dropped by dnd.py\n self._canvas.bind('<B1-Motion>', self._start_dnd)\n self._canvas.bind('<B1-ButtonRelease-1>', self._update_color)","def OnMoveFinished(self):\r\n\r\n # notify the owner manager that the pane has finished moving\r\n if self._owner_mgr:\r\n self._owner_mgr._action_window = self._pane_window\r\n point = wx.GetMousePosition()\r\n if self._is_toolbar:\r\n self._owner_mgr.OnLeftUp_DragToolbarPane(point)\r\n else:\r\n self._owner_mgr.OnLeftUp_DragFloatingPane(point)\r\n\r\n self._owner_mgr.OnFloatingPaneMoved(self._pane_window, point)","def __init__(self, obj):\n \n wx.TextDropTarget.__init__(self) # Initialize the wx.TextDropTarget Object\n self.obj = obj# Store the Object Reference for dropped text","def mouseMoveEvent (self, event):\n self.itemMoved = True\n super(DiagramItem, self).mouseMoveEvent(event)","def drop(self):\n Game.instance.area_map.entities.append(self.owner)\n Game.instance.inventory.remove(self.owner)\n self.owner.x = Game.instance.player.x\n self.owner.y = Game.instance.player.y\n message('You dropped a ' + self.owner.name + '.', palette.yellow)","def drop_field(self, field):\r\n self.dropped_fields.add(field)","def mounted(self):\n self.vue.dragAndDropCapable = self.determineDragAndDropCapable();\n \"\"\"\n If drag and drop capable, then we continue to bind events to our elements.\n \"\"\"\n if( self.vue.dragAndDropCapable ):\n \"\"\"\n Listen to all of the drag events and bind an event listener to each\n for the fileform.\n \"\"\"\n \n def for_events(evt):\n def add_event(e):\n e.preventDefault();\n e.stopPropagation();\n add_event.bind(self.vue)\n \"\"\"\n For each event add an event listener that prevents the default action\n (opening the file in the browser) and stop the propagation of the event (so\n no other elements open the file in the browser)\n \"\"\"\n self.vue[\"$refs\"].fileform.addEventListener(evt,add_event,False)\n for_events.bind(self.vue)\n ['drag', 'dragstart', 'dragend', 'dragover', 'dragenter', 'dragleave', 'drop'].forEach(for_events);\n \"\"\"\n Add an event listener for drop to the form\n \"\"\"\n def capture_files(e):\n \"\"\"\n Capture the files from the drop event and add them to our local files\n array.\n \"\"\"\n i = 0\n \n while i < e.dataTransfer.files.length:\n self.vue.files.push( e.dataTransfer.files[i] );\n i+=1\n self.getImagePreviews()\n self.submitFiles()\n capture_files.bind(this)\n self.vue[\"$refs\"].fileform.addEventListener('drop', capture_files);\n __pragma__ ('jsiter') \n fetch('/json/media/',\n {\n \"method\":\"GET\",\n })\\\n .then(lambda res:res.json())\\\n .then(self.drawImages)\\\n .catch(lambda e:console.log('FAILURE!!',e));\n __pragma__ ('nojsiter')","def _on_motion(self, event):\n if not self._visual_drag.winfo_ismapped():\n return\n\n if self._drag_cols and self._dragged_col is not None:\n self._drag_col(event)\n elif self._drag_rows and self._dragged_row is not None:\n self._drag_row(event)","def _handle_player_collide_item(self, player: Player, dropped_item: DroppedItem,\n data, arbiter: pymunk.Arbiter) -> bool:\n\n dropped_item.collect(self._player)\n self._world.remove_item(dropped_item)\n return False","def dragEnterEvent(self, e):\n # TODO: Do it properly.\n # TODO: Redraw widget while dragging.\n e.accept()","def OnMotion(self, event):\r\n \r\n # start a drag event\r\n if not self._dragging and self._action_item != None and self._action_pos != wx.Point(-1, -1) and \\\r\n abs(event.m_x - self._action_pos.x) + abs(event.m_y - self._action_pos.y) > 5:\r\n \r\n self.SetToolTipString(\"\")\r\n self._dragging = True\r\n\r\n e = AuiToolBarEvent(wxEVT_COMMAND_AUITOOLBAR_BEGIN_DRAG, self.GetId())\r\n e.SetEventObject(self)\r\n e.SetToolId(self._action_item.id)\r\n self.ProcessEvent(e)\r\n self.DoIdleUpdate()\r\n return\r\n \r\n hit_item = self.FindToolForPosition(*event.GetPosition())\r\n \r\n if hit_item: \r\n if not hit_item.state & AUI_BUTTON_STATE_DISABLED:\r\n self.SetHoverItem(hit_item)\r\n else:\r\n self.SetHoverItem(None)\r\n \r\n else: \r\n # no hit item, remove any hit item\r\n self.SetHoverItem(hit_item)\r\n \r\n # figure out tooltips\r\n packing_hit_item = self.FindToolForPositionWithPacking(*event.GetPosition())\r\n \r\n if packing_hit_item:\r\n \r\n if packing_hit_item != self._tip_item:\r\n self._tip_item = packing_hit_item\r\n\r\n if packing_hit_item.short_help != \"\":\r\n self.StartPreviewTimer()\r\n self.SetToolTipString(packing_hit_item.short_help)\r\n else:\r\n self.SetToolTipString(\"\")\r\n self.StopPreviewTimer()\r\n \r\n else:\r\n \r\n self.SetToolTipString(\"\")\r\n self._tip_item = None\r\n self.StopPreviewTimer()\r\n \r\n # if we've pressed down an item and we're hovering\r\n # over it, make sure it's state is set to pressed\r\n if self._action_item:\r\n \r\n if self._action_item == hit_item:\r\n self.SetPressedItem(self._action_item)\r\n else:\r\n self.SetPressedItem(None)\r\n \r\n # figure out the dropdown button state (are we hovering or pressing it?)\r\n self.RefreshOverflowState()","def panelDropLoad( dragControl, dropControl, messages, x, y, dragType ):\n # Get name of the asset that was dragged\n loadedObject = cmds.iconTextCheckBox(dragControl, query=True, label=True)\n # Get mode from standin or assembly\n selectedRadio = cmds.radioCollection(loadMethodRadio, query=True, select=True)\n # Instantiate AssetIcon\n asset = AssetIcon(loadedObject)\n \n loadedAssetNode = None\n\n # Load asset using correct function\n if \"standin\" in selectedRadio:\n loadedAssetNode = asset.loadArnoldAsset()\n else: \n loadedAssetNode = asset.loadAsset()\n \n # Get a position in the world using the mouse pointer as reference\n loadedLocation = cmds.autoPlace(useMouse=True)\n # Move the asset to that position\n cmds.move(loadedLocation[0], loadedLocation[1], loadedLocation[2], loadedAssetNode, absolute=True)","def is_droppable ( self, object, row, value ):\n return self.droppable","def execute_drop(item_id):\r\n if (item_id in inventory):\r\n current_room[\"items\"][item_id] = inventory[item_id]\r\n del inventory[item_id]\r\n wrap_print(\"You dropped \" + items[item_id][\"name\"] + \".\")\r\n global valid_move\r\n valid_move = True\r\n else:\r\n wrap_print(\"You cannot drop that.\")","def dropObject(player):\n for treasure in Treasure.List:\n if player.treasureCaptured:\n player.treasureCaptured = False\n treasure.x = player.x\n treasure.y = player.y\n treasure.img = pygame.image.load(Treasure.treasure_img[0])","def on_moved(self, event):\n print(\"Moved\")\n time.sleep(5)\n self.moveFile(event.dest_path)","def OnLeftUp(self, event): # ANDY PAN\n if event.ShiftDown():\n event.Skip()\n return\n self.last_drag_x = self.last_drag_y = None\n self.SetCursor(wx.Cursor(wx.CURSOR_DEFAULT))\n # turn off drag\n self.was_dragging = False\n # force PAINT event to remove selection box (if required)\n # self.Update()\n event.Skip()","def quantity_dropped(self, quantity_dropped):\n\n self._quantity_dropped = quantity_dropped","def drag_and_drop_by_offset(self, elem, x, y):\n ActionChains(self.driver).drag_and_drop_by_offset(elem, xoffset=x, yoffset=y).perform()","def OnTokenButtonPress(self, event):\n\n # Unbind main GUI buttons\n self.myMainGUI.unbindButtons()\n\n # Store drag data\n self._drag_data = {\"x\": event.x, \"item\": self.canvas_SG[0].find_closest(self.canvas_SG[0].canvasx(event.x),\n self.canvas_SG[0].canvasy(event.y))[0]}","def drag(self, source_index, target_index):\r\n draggables = self.q(css='.drag-handle')\r\n source = draggables[source_index]\r\n target = draggables[target_index]\r\n action = ActionChains(self.browser)\r\n # When dragging before the target element, must take into account that the placeholder\r\n # will appear in the place where the target used to be.\r\n placeholder_height = 40\r\n action.click_and_hold(source).move_to_element_with_offset(\r\n target, 0, placeholder_height\r\n ).release().perform()\r\n wait_for_notification(self)","def _onmove(self, event):","def DoDropRow(self, panes, target, dock_direction, dock_layer, dock_row):\r\n \r\n drop = self.CopyTarget(target)\r\n panes = DoInsertDockRow(panes, dock_direction, dock_layer, dock_row)\r\n\r\n drop.Dock().Direction(dock_direction).Layer(dock_layer).Row(dock_row).Position(0)\r\n return self.ProcessDockResult(target, drop)","def _drag_col(self, event):\n x = self._dx + event.x # get dragged column new left x coordinate\n self._visual_drag.place_configure(x=x) # update column preview position\n # if one border of the dragged column is beyon the middle of the\n # neighboring column, swap them\n if (self._dragged_col_neighbor_widths[0] is not None and\n x < self._dragged_col_x - self._dragged_col_neighbor_widths[0] / 2):\n self._swap_columns('left')\n elif (self._dragged_col_neighbor_widths[1] is not None and\n x > self._dragged_col_x + self._dragged_col_neighbor_widths[1] / 2):\n self._swap_columns('right')\n # horizontal scrolling if the cursor reaches the side of the table\n if x < 0 and self.xview()[0] > 0:\n # scroll left and update dragged column x coordinate\n self.xview_scroll(-10, 'units')\n self._dragged_col_x += 10\n elif x + self._dragged_col_width / 2 > self.winfo_width() and self.xview()[1] < 1:\n # scroll right and update dragged column x coordinate\n self.xview_scroll(10, 'units')\n self._dragged_col_x -= 10","def acceptDrops(self) -> bool:\n ...","def touch_moved(self, touch):\n\t\tpass","def onLeftUp(self, event):\n\n self.last_drag_x = self.last_drag_y = None\n\n if self.ignore_next_up:\n self.ignore_next_up = False\n return\n\n self.SetCursor(wx.StockCursor(wx.CURSOR_DEFAULT))\n\n # we need a repaint to remove any selection box, but NOT YET!\n delayed_paint = self.sbox_1_x\n\n # if any layers interested, inform of possible select\n if not self.was_dragging:\n if self.is_box_select:\n self.is_box_select = False\n\n # box selection\n (lon_1, lat_1) = self.convertView2Geo(self.sbox_1_x,\n self.sbox_1_y)\n (lon_2, lat_2) = self.convertView2Geo(self.sbox_1_x+self.sbox_w,\n self.sbox_1_y+self.sbox_h)\n\n # check each layer for a box select callback\n copy_layers = copy.copy(self.layer_z_order)\n handled_layers = []\n for id in copy_layers:\n # if layer still exists and not already handled\n if id in self.layer_mapping and id not in handled_layers:\n l = self.layer_mapping[id]\n if l.visible and l.callback_box_select:\n # get all points selected (if any)\n points = self.getBoxSelectPoints(l.data,\n (lon_1,lat_1),\n (lon_2,lat_2))\n if points:\n # pass points to callback\n handled_layers.append(id)\n if l.callback_box_select(id, points):\n delayed_paint = True\n else:\n # possible point selection\n (cx, cy) = event.GetPositionTuple()\n clickpt = self.convertView2Geo(cx, cy)\n # check each layer for a point select callback\n copy_layers = copy.copy(self.layer_z_order)\n handled_layers = []\n for id in copy_layers:\n # if layer still exists and not already handled\n if id in self.layer_mapping and id not in handled_layers:\n l = self.layer_mapping[id]\n if l.visible and l.callback_point_select:\n pt = self.getNearestPointInLayer(l.data,\n l.delta, clickpt)\n if pt:\n handled_layers.append(id)\n if l.callback_point_select(id, pt):\n delayed_paint = True\n\n # turn off drag\n self.was_dragging = False\n\n # turn off box selection mechanism\n self.is_box_select = False\n self.sbox_1_x = self.sbox_1_y = None\n\n # force PAINT event to remove selection box (if required)\n if delayed_paint:\n self.Refresh()","def __init__(self):\n \n __gsignals__ = { 'expose-event' : 'override'}\n\n self.filename = \"\"\n self.source_id = 0\n self.dy = 0\n\n # Create a top level window\n self.window = gtk.Window()\n \n #Get y position of mouse at start of drag \n self.mouse_click_point = 0\n \n #Create a TextArea class instance\n self.drawing = TextArea()\n\n self.drawing.show()\n \n self.window.connect('drag-begin', self.start_refresh)\n self.window.connect('drag-motion', self.drag_motion)\n self.window.connect('drag-end', self.stop_drag_motion)\n \n self.window.drag_source_set(gtk.gdk.BUTTON1_MASK,\n [(\"\", gtk.TARGET_SAME_APP, 1)],\n gtk.gdk.ACTION_PRIVATE)\n\n self.window.drag_dest_set(gtk.DEST_DEFAULT_MOTION,\n [(\"\", gtk.TARGET_SAME_APP, 1)],\n gtk.gdk.ACTION_PRIVATE)\n \n self.window.connect('destroy', lambda w: gtk.main_quit())\n \n\n self.window.set_default_size(600,900)\n self.window.move(300,100)\n\n #Create a TextArea class instance\n self.drawing = TextArea()\n self.drawing.show()\n \n \n vbox = gtk.VBox()\n self.window.add(vbox)\n\n #Create a UIManager instance\n uimanager = gtk.UIManager()\n self.current_scale = 16\n\n #Add the accelerator group to the toplevel window\n accelgroup = uimanager.get_accel_group()\n self.window.add_accel_group(accelgroup)\n\n #Create an ActionGroup\n actiongroup = gtk.ActionGroup('PyViewer')\n self.actiongroup = actiongroup\n \n #Create actions\n actiongroup.add_actions([('Open', gtk.STOCK_OPEN, '_Open', None, None, self.open_file),\n ('Quit', gtk.STOCK_QUIT, '_Quit', None, None, self.quit_viewer),\n ('File', None, '_File')])\n \n #Add the actiongroup to the uimanager\n uimanager.insert_action_group(actiongroup, 0)\n\n #Add a UI description\n uimanager.add_ui_from_string(self.ui)\n\n #Create a MenuBar\n menubar = uimanager.get_widget('/MenuBar')\n \n #Pack the menubar and the drawing area into a vbox\n vbox.pack_start(menubar, False)\n vbox.pack_start(self.drawing) \n\n self.window.show_all()\n\n return","def _on_press(self, event):\n if tk.DISABLED in self.state():\n return\n\n region = self.identify_region(event.x, event.y)\n\n if self._drag_cols and region == 'heading':\n self._start_drag_col(event)\n elif self._drag_rows and region == 'cell':\n self._start_drag_row(event)","def _on_mouse(self, event):\n x, y = event.GetPosition()\n if self._drag_mode == DepthCanvas.SASH_DRAG_NONE: \n self._canvas_hit_test(x, y) \n if event.LeftDown():\n self.start_dragging(y)\n elif self._drag_mode == DepthCanvas.SASH_DRAG_DRAGGING:\n if event.LeftIsDown():\n self.drag_it(y) \n elif event.LeftUp():\n self.end_dragging()\n event.Skip()","def detach(self, *items):\n self._visual_drag.detach(*items)\n ttk.Treeview.detach(self, *items)","def btn_upload_callback(self):\n # Create File Select Dialog\n dialog = QFileDialog(parent=self, caption='Images')\n dialog.setMimeTypeFilters(\n [\"image/jpeg\", \"image/png\", \"image/tiff\", 'application/zip'])\n dialog.setFileMode(QFileDialog.ExistingFile)\n\n if dialog.exec_() == QDialog.Accepted:\n\n filename = dialog.selectedFiles()[0]\n\n with open(filename, 'rb') as f:\n file_b64s = fio_to_b64s(f)\n\n if ext_from_path(filename) == '.zip':\n ret = api.upload_zip(\n file_b64s,\n nameext_from_path(filename),\n self.user_hash\n )\n else:\n ret = api.upload_image(\n file_b64s,\n nameext_from_path(filename),\n self.user_hash\n )\n if ret.get('success') is False:\n self.show_error(ret['error_msg'])\n self.update_table()","def _update_droppings(self):\n\t\t# Update dropping positions.\n\t\tself.droppings.update()\n\n\t\t# Get rid of the droppings that have disappeared.\n\t\tfor dropping in self.droppings.copy():\n\t\t\tif dropping.rect.top >= 1050:\n\t\t\t\tself.droppings.remove(dropping)\n\n\t\tself._check_dropping_auto_collisions()","def OnLeftUp(self, event):\r\n\r\n if self._action == actionResize:\r\n## self._frame.Freeze()\r\n self.OnLeftUp_Resize(event)\r\n## self._frame.Thaw()\r\n \r\n elif self._action == actionClickButton:\r\n self.OnLeftUp_ClickButton(event)\r\n \r\n elif self._action == actionDragFloatingPane:\r\n self.OnLeftUp_DragFloatingPane(event)\r\n \r\n elif self._action == actionDragToolbarPane:\r\n self.OnLeftUp_DragToolbarPane(event)\r\n \r\n else:\r\n event.Skip() \r\n\r\n if self._frame.HasCapture():\r\n self._frame.ReleaseMouse()\r\n \r\n self._action = actionNone","def callback(self, event):\n # IN_CLOSE_WRITE -> 0x00000008\n if event.mask == 0x00000008:\n if event.name.endswith('.json'):\n print_success(\"Ldapdomaindump file found\")\n if event.name in ['domain_groups.json', 'domain_users.json']:\n if event.name == 'domain_groups.json':\n self.domain_groups_file = event.pathname\n if event.name == 'domain_users.json':\n self.domain_users_file = event.pathname\n if self.domain_groups_file and self.domain_users_file:\n print_success(\"Importing users\")\n subprocess.Popen(['jk-import-domaindump', self.domain_groups_file, self.domain_users_file])\n elif event.name == 'domain_computers.json':\n print_success(\"Importing computers\")\n subprocess.Popen(['jk-import-domaindump', event.pathname])\n\n # Ldap has been dumped, so remove the ldap targets.\n self.ldap_strings = []\n self.write_targets()\n\n if event.name.endswith('_samhashes.sam'):\n host = event.name.replace('_samhashes.sam', '')\n # TODO import file.\n print_success(\"Secretsdump file, host ip: {}\".format(host))\n subprocess.Popen(['jk-import-secretsdump', event.pathname])\n\n # Remove this system from this ip list.\n self.ips.remove(host)\n self.write_targets()","def help_drop(self):\n print(DROP)","def dropped(self, dropped):\n if self.local_vars_configuration.client_side_validation and dropped is None: # noqa: E501\n raise ValueError(\"Invalid value for `dropped`, must not be `None`\") # noqa: E501\n\n self._dropped = dropped","def getTransferData(self, f: java.awt.datatransfer.DataFlavor) -> object:\n ...","def drag(self, event):\n self.yview('scroll', self.ypos - event.y, 'units')\n self.xview('scroll', self.xpos - event.x, 'units')\n self.ypos = event.y\n self.xpos = event.x","def OnMouse(self, event):\n if not event.Dragging():\n self._dragPos = None\n if self.HasCapture():\n self.ReleaseMouse()\n return\n else:\n if not self.HasCapture():\n self.CaptureMouse()\n\n if not self._dragPos:\n self._dragPos = event.GetPosition()\n else:\n pos = event.GetPosition()\n displacement = self._dragPos - pos\n self.SetPosition(self.GetPosition() - displacement)","def DoDropNonFloatingPane(self, docks, panes, target, pt):\r\n \r\n screenPt = self._frame.ClientToScreen(pt)\r\n clientSize = self._frame.GetClientSize()\r\n frameRect = GetInternalFrameRect(self._frame, self._docks)\r\n\r\n drop = self.CopyTarget(target)\r\n\r\n # The result should always be shown\r\n drop.Show()\r\n\r\n part = self.HitTest(pt.x, pt.y)\r\n\r\n if not part:\r\n return False, target\r\n\r\n if part.type == AuiDockUIPart.typeDockSizer:\r\n \r\n if len(part.dock.panes) != 1:\r\n return False, target\r\n \r\n part = self.GetPanePart(part.dock.panes[0].window)\r\n if not part:\r\n return False, target\r\n \r\n if not part.pane:\r\n return False, target\r\n\r\n part = self.GetPanePart(part.pane.window)\r\n if not part:\r\n return False, target\r\n\r\n insert_dock_row = False\r\n insert_row = part.pane.dock_row\r\n insert_dir = part.pane.dock_direction\r\n insert_layer = part.pane.dock_layer\r\n\r\n direction = part.pane.dock_direction\r\n \r\n if direction == AUI_DOCK_TOP:\r\n if pt.y >= part.rect.y and pt.y < part.rect.y+auiInsertRowPixels:\r\n insert_dock_row = True\r\n\r\n elif direction == AUI_DOCK_BOTTOM:\r\n if pt.y > part.rect.y+part.rect.height-auiInsertRowPixels and \\\r\n pt.y <= part.rect.y + part.rect.height:\r\n insert_dock_row = True\r\n\r\n elif direction == AUI_DOCK_LEFT:\r\n if pt.x >= part.rect.x and pt.x < part.rect.x+auiInsertRowPixels:\r\n insert_dock_row = True\r\n\r\n elif direction == AUI_DOCK_RIGHT:\r\n if pt.x > part.rect.x+part.rect.width-auiInsertRowPixels and \\\r\n pt.x <= part.rect.x+part.rect.width:\r\n insert_dock_row = True\r\n\r\n elif direction == AUI_DOCK_CENTER:\r\n \r\n # \"new row pixels\" will be set to the default, but\r\n # must never exceed 20% of the window size\r\n new_row_pixels_x = auiNewRowPixels\r\n new_row_pixels_y = auiNewRowPixels\r\n\r\n if new_row_pixels_x > (part.rect.width*20)/100:\r\n new_row_pixels_x = (part.rect.width*20)/100\r\n\r\n if new_row_pixels_y > (part.rect.height*20)/100:\r\n new_row_pixels_y = (part.rect.height*20)/100\r\n\r\n # determine if the mouse pointer is in a location that\r\n # will cause a new row to be inserted. The hot spot positions\r\n # are along the borders of the center pane\r\n\r\n insert_layer = 0\r\n insert_dock_row = True\r\n pr = part.rect\r\n \r\n if pt.x >= pr.x and pt.x < pr.x + new_row_pixels_x:\r\n insert_dir = AUI_DOCK_LEFT\r\n elif pt.y >= pr.y and pt.y < pr.y + new_row_pixels_y:\r\n insert_dir = AUI_DOCK_TOP\r\n elif pt.x >= pr.x + pr.width - new_row_pixels_x and pt.x < pr.x + pr.width:\r\n insert_dir = AUI_DOCK_RIGHT\r\n elif pt.y >= pr.y+ pr.height - new_row_pixels_y and pt.y < pr.y + pr.height:\r\n insert_dir = AUI_DOCK_BOTTOM\r\n else:\r\n return False, target\r\n\r\n insert_row = GetMaxRow(panes, insert_dir, insert_layer) + 1\r\n \r\n if insert_dock_row:\r\n \r\n panes = DoInsertDockRow(panes, insert_dir, insert_layer, insert_row)\r\n drop.Dock().Direction(insert_dir).Layer(insert_layer). \\\r\n Row(insert_row).Position(0)\r\n \r\n return self.ProcessDockResult(target, drop)\r\n\r\n # determine the mouse offset and the pane size, both in the\r\n # direction of the dock itself, and perpendicular to the dock\r\n\r\n if part.orientation == wx.VERTICAL:\r\n \r\n offset = pt.y - part.rect.y\r\n size = part.rect.GetHeight()\r\n \r\n else:\r\n \r\n offset = pt.x - part.rect.x\r\n size = part.rect.GetWidth()\r\n \r\n drop_position = part.pane.dock_pos\r\n\r\n # if we are in the top/left part of the pane,\r\n # insert the pane before the pane being hovered over\r\n if offset <= size/2:\r\n \r\n drop_position = part.pane.dock_pos\r\n panes = DoInsertPane(panes,\r\n part.pane.dock_direction,\r\n part.pane.dock_layer,\r\n part.pane.dock_row,\r\n part.pane.dock_pos)\r\n\r\n # if we are in the bottom/right part of the pane,\r\n # insert the pane before the pane being hovered over\r\n if offset > size/2:\r\n \r\n drop_position = part.pane.dock_pos+1\r\n panes = DoInsertPane(panes,\r\n part.pane.dock_direction,\r\n part.pane.dock_layer,\r\n part.pane.dock_row,\r\n part.pane.dock_pos+1)\r\n \r\n\r\n drop.Dock(). \\\r\n Direction(part.dock.dock_direction). \\\r\n Layer(part.dock.dock_layer).Row(part.dock.dock_row). \\\r\n Position(drop_position)\r\n \r\n return self.ProcessDockResult(target, drop)","def handle_event(self, event):\n if event.key == BattleActions.SELECT.value:\n prev_item = self.pokemon.held_item\n self.pokemon.held_item = self.item\n self.bag.subtract_item(self.item)\n self.bag.add_item(prev_item)\n self.is_dead = True","def handle(self, event):\n\n if event == FL_PUSH:\n if Fl.event_button1():\n if self.gamewin.placing >= 0:\n self.gamewin.place_boat()\n \n else:\n self.gamewin.tile_clicked(self)\n return 1\n \n if event == FL_DRAG:\n return 0\n \n return super().handle(event)","def on_moved(self, event):\n super(myEventHandler,self).on_moved(event)\n #moveto events from external folders have no src_path\n source = event.src_path\n dest = event.dest_path\n if event.is_directory:\n splitpath = split(source)\n splitdest = split(dest)\n if splitpath[1] == splitdest[1]:\n try:\n #where are we moving from\n pass\n #file = splitpath[1]\n #pathtoonedir = self.onedir.getonedirrectory()\n #oldpath = splitpath[0].replace(pathtoonedir ,\"\")\n #calculate new path\n #newpath = splitdest[0].replace(pathtoonedir ,\"\")\n #if oldpath is \"\":\n # oldpath = os.path.sep\n #self.onedir.movefile(file,newpath,oldpath)\n except OSError as e:\n print \"Error copying file! \" + e\n exit(1)\n else:\n #rename!!!!!!!!\n oldname = source\n newname = dest\n pathtoonedir = self.onedir.getonedirrectory()\n oldname = oldname.replace(pathtoonedir ,\"\")\n newname = newname.replace(pathtoonedir ,\"\")\n self.onedir.renamedirectory(oldname,newname)\n else:\n #if it comes from outside the folder structure\n if source is None:\n try:\n #use os.path.split to get file name and path\n splitpath = split(dest)\n file = splitpath[1]\n pathtoonedir = self.onedir.getonedirrectory()\n relpath = splitpath[0].replace(pathtoonedir ,\"\")\n self.onedir.sendfile(file, relpath)\n except OSError as e:\n print \"Error copying file! \" + e.strerror\n exit(1)\n except IOError as e:\n print \"IOerror creating file \" + e.strerror\n else:\n #file was moved!\n #check if name stays the same i.e. it's a move not a rename!\n splitpath = split(source)\n splitdest = split(dest)\n if splitpath[1] == splitdest[1]:\n try:\n #where are we moving from\n file = splitpath[1]\n pathtoonedir = self.onedir.getonedirrectory()\n oldpath = splitpath[0].replace(pathtoonedir ,\"\")\n #calculate new path\n newpath = splitdest[0].replace(pathtoonedir ,\"\")\n if oldpath is \"\":\n oldpath = os.path.sep\n self.onedir.movefile(file,newpath,oldpath)\n except OSError as e:\n print \"Error copying file! \" + e\n exit(1)\n else:\n #rename!!!!!!!!\n file = splitpath[1]\n newname = splitdest[1]\n pathtoonedir = self.onedir.getonedirrectory()\n path = splitpath[0].replace(pathtoonedir ,\"\")\n if path is \"\":\n path = os.path.sep\n else:\n path = path[1:]\n self.onedir.rename(file,path,newname)"],"string":"[\n \"def dropEvent(self, de):\\n # dragging a track\\n if hasattr(Globals.dragObject, \\\"trackFrame\\\"):\\n de.accept()\\n trackFrame = Globals.dragObject.trackFrame\\n oldParent = trackFrame.parentWidget()\\n if oldParent:\\n args = (trackFrame, self, oldParent.parentWidget())\\n else:\\n args = (trackFrame, self, None)\\n self.emit(PYSIGNAL('dropped'), (args))\\n # not yet used\\n #Animation.animate(trackFrame, self, doneFunc=self.slotAnimationDone)\",\n \"def on_drop(self):\\n print(\\\"You have dropped\\\", self.name)\",\n \"def dropEvent(self, event):\\n\\n # Get the id color to drop the items into\\n drop_id_color = self.itemAt(event.pos())\\n drop_id_color = self.invisibleRootItem() \\\\\\n if drop_id_color is None else drop_id_color\\n\\n # If the drop position is not valid we pass\\n if drop_id_color is None:\\n event.ignore()\\n return\\n\\n # If the drop position is not an id color item we pass\\n if drop_id_color.data(0, QtCore.Qt.UserRole) != \\\"color\\\":\\n event.ignore()\\n return\\n\\n # Get the drop items - the selected tree items\\n drop_items = [x for x in self.selectedItems()\\n if x.data(0, QtCore.Qt.UserRole) == \\\"object\\\"] or None\\n\\n # If not items selected we pass\\n if drop_items is None:\\n event.ignore()\\n return\\n\\n # Drop the items into the new tree parent\\n self._drop_tree_items(drop_items, drop_id_color)\\n\\n event.accept()\\n\\n return None\",\n \"def dropEvent(self, event):\\n if event.mimeData().hasImage:\\n event.setDropAction(Qt.CopyAction)\\n file_path = event.mimeData().urls()[0].toLocalFile()\\n self.set_image(file_path)\\n self.folderLocation.setText(file_path)\\n \\n event.accept()\\n else:\\n event.ignore()\",\n \"def dropEvent(self, event):\\r\\n source = event.mimeData()\\r\\n if source.hasUrls():\\r\\n files = mimedata2url(source)\\r\\n if files:\\r\\n files = [\\\"r'%s'\\\" % path for path in files]\\r\\n if len(files) == 1:\\r\\n text = files[0]\\r\\n else:\\r\\n text = \\\"[\\\" + \\\", \\\".join(files) + \\\"]\\\"\\r\\n self.shell.insert_text(text)\\r\\n elif source.hasText():\\r\\n lines = unicode(source.text())\\r\\n self.shell.set_cursor_position('eof')\\r\\n self.shell.execute_lines(lines)\\r\\n event.acceptProposedAction()\",\n \"def dropEvent(self, event):\\r\\n source = event.mimeData()\\r\\n if source.hasUrls():\\r\\n files = mimedata2url(source)\\r\\n if files:\\r\\n self.plugin.load(files)\\r\\n elif source.hasText():\\r\\n editor = self.currentWidget()\\r\\n if editor is not None:\\r\\n editor.insert_text( source.text() )\\r\\n event.acceptProposedAction()\",\n \"def _on_drop(self, event):\\n data = event.mimeData().data(constants.QGRAPH_DD_MIME_TYPE)\\n if not data.isNull():\\n data_stream = QDataStream(data, QIODevice.ReadOnly)\\n parsed = json.loads(data_stream.readString().decode('utf8'))\\n\\n # Refer to `mime.py` for docs about format\\n version = parsed['version']\\n if version not in (1, 2):\\n raise ValueError(\\\"Unsupported version of QmxGraph MIME data: {}\\\".format(version))\\n\\n x = event.pos().x()\\n y = event.pos().y()\\n\\n if version in (1, 2):\\n vertices = parsed.get('vertices', [])\\n scale = self.api.get_zoom_scale()\\n for v in vertices:\\n # place vertices with an offset so their center falls\\n # in the event point.\\n vertex_x = x + (v['dx'] - v['width'] * 0.5) * scale\\n vertex_y = y + (v['dy'] - v['height'] * 0.5) * scale\\n self.api.insert_vertex(\\n x=vertex_x,\\n y=vertex_y,\\n width=v['width'],\\n height=v['height'],\\n label=v['label'],\\n style=v.get('style', None),\\n tags=v.get('tags', {}),\\n )\\n\\n if version in (2,):\\n decorations = parsed.get('decorations', [])\\n for v in decorations:\\n self.api.insert_decoration(\\n x=x,\\n y=y,\\n width=v['width'],\\n height=v['height'],\\n label=v['label'],\\n style=v.get('style', None),\\n tags=v.get('tags', {}),\\n )\\n\\n event.acceptProposedAction()\\n else:\\n event.ignore()\",\n \"def dropEvent(self, event: QtGui.QDropEvent) -> None:\\n if event.mimeData().hasImage:\\n event.setDropAction(Qt.CopyAction)\\n self.image = event.mimeData().urls()[0].toLocalFile()\\n x = self.width()\\n y = self.height()\\n im = QPixmap(self.image).scaled(x, y) # , aspectRatioMode=Qt.KeepAspectRatio)\\n im.save(os.getcwd() + \\\"/tmp.jpg\\\")\\n self.image = (os.getcwd() + \\\"/tmp.jpg\\\")\\n self.setPixmap(im)\\n # self.setPixmap(QPixmap(self.image))\\n self.setStyleSheet(\\\"\\\")\\n event.accept()\\n else:\\n event.ignore()\",\n \"def addDropListener(self, callback: 'callable'):\\n self.getView().addDropListener(callback)\",\n \"def dropEvent(self, QDropEvent):\\n srcItems = self.selectedItems()\\n dstInd = (self.indexAt(QDropEvent.pos()).row() + 1)\\n kbMod = QDropEvent.keyboardModifiers()\\n #-- Create New Items --#\\n for n, srcItem in enumerate(srcItems):\\n itemDict = self.treeParent.getItemDict(srcItem)\\n newItem = self.treeParent.on_addVar(index=(dstInd + n))\\n self.treeParent.setItem(newItem, **itemDict)\\n #-- Remove Items --#\\n if not kbMod == QtCore.Qt.ControlModifier:\\n for srcItem in srcItems:\\n self.takeTopLevelItem(self.indexOfTopLevelItem(srcItem))\\n self.treeParent.reindexVar()\",\n \"def dropMimeData(self, p_int, QMimeData, Qt_DropAction): # real signature unknown; restored from __doc__\\r\\n return False\",\n \"def on_item_dropped(self, url):\\n print 'Weld.on_item_dropped:', url\\n #make sure all struct are present\\n if not(self.project and self.project.level):\\n print >> sys.stderr, 'it\\\\'s too early to drop stuff: '\\\\\\n 'create a project and a level first !'\\n return\\n\\n #retrieve data if it comes from weld\\n if url in self.resMan:\\n props = self.resMan.file_props(url)\\n if props is None:\\n print >> sys.stderr, curr_f(), ': url(\\\\'%s\\\\') in self.resMan '\\\\\\n 'but can\\\\'t retrieve props.' % (url)\\n return\\n props = self.project.level.resMan.add_resource(self.resMan.base_path,\\n props)\\n url = props['url']\\n if props == {} or url not in self.project.level.resMan:\\n print >> sys.stderr, curr_f(), 'could not retrieve file and/or '\\\\\\n 'dependencies for props:', pp(props)\\n return\\n\\n #instanciate it\\n if url in self.project.level.resMan:\\n props = self.project.level.resMan.file_props(url)\\n dtp = self.project.level.qsteelwidget.dropTargetPosition(Config.instance().drop_target_vec)\\n props['position'] = dtp\\n props['rotation'] = self.project.level.qsteelwidget.dropTargetRotation()\\n if props['resource_type'] == 'meshes':\\n props['meshName'] = props['name']\\n self.project.level.instanciate(props)\\n s = 'dropped agent \\\\'%s\\\\' with id %i' % (props['name'], props['agentId'])\\n print s\\n Ui.instance().show_status(s)\\n else:\\n Ui.instance().show_status('can only drop meshes so far')\",\n \"def DoDrop(self, docks, panes, target, pt, offset=wx.Point(0, 0)):\\r\\n\\r\\n if target.IsToolbar():\\r\\n return self.DoDropToolbar(docks, panes, target, pt, offset)\\r\\n elif target.IsFloating():\\r\\n return self.DoDropFloatingPane(docks, panes, target, pt)\\r\\n else:\\r\\n return self.DoDropNonFloatingPane(docks, panes, target, pt)\",\n \"def drag_and_drop_attempt():\\n\\n class InitialState(BaseState):\\n \\\"\\\"\\\"\\n Initial state for the SimpleGUI.\\n \\\"\\\"\\\"\\n\\n def _on_enter(self, gui):\\n \\\"\\\"\\\"\\n Construct the buttons upon entering the state.\\n\\n :return:\\n \\\"\\\"\\\"\\n print(\\\"In initial state.\\\")\\n\\n '''Create drag and drop window'''\\n gui.entry_sv = tk.StringVar()\\n gui.drop_box_list = []\\n gui.drop_box_items = tk.Listbox(master=gui.root, listvariable=gui.drop_box_list)\\n gui.drop_box_text = tk.StringVar()\\n gui.drop_box_text.set(\\\"Drop images here\\\")\\n gui.entry = tk.Entry(gui.root, textvar=gui.drop_box_text, justify='center')\\n gui.entry.config(font=(\\\"Courier\\\", 44))\\n gui.entry.place(x = 200, y=200, width=800, height=800)\\n #gui.entry.pack()\\n gui.entry.drop_target_register(DND_FILES)\\n gui.entry.dnd_bind('<<Drop>>', self.drop(gui))\\n gui.update()\\n\\n def _on_exit(self, gui):\\n \\\"\\\"\\\"\\n Return the next state.\\n\\n :param gui:\\n :return:\\n \\\"\\\"\\\"\\n gui.update()\\n return WaitForDrop()\\n\\n def drop(self, gui):\\n def _drop(event):\\n files = root.tk.splitlist(event.data)\\n gui.entry_sv.set(files)\\n return _drop\\n\\n class WaitForDrop(BaseState):\\n \\\"\\\"\\\"\\n State for having buttons on.\\n \\\"\\\"\\\"\\n\\n def _on_enter(self, gui):\\n \\\"\\\"\\\"\\n\\n :param gui:\\n :return:\\n \\\"\\\"\\\"\\n print(\\\"In wait for drop state.\\\")\\n\\n def _state_main(self, gui):\\n \\\"\\\"\\\"\\n The main code for the ButtonsOn state.\\n\\n :param gui:\\n :return:\\n \\\"\\\"\\\"\\n gui.entry.wait_variable(gui.entry_sv)\\n\\n '''Clean string'''\\n files = literal_eval(gui.entry_sv.get())\\n\\n '''Remove previous images'''\\n if hasattr(gui, \\\"panel\\\"):\\n gui.panel.destroy()\\n\\n '''Load each image'''\\n for file_name in files:\\n file_name = file_name.replace(\\\"{\\\", \\\"\\\").replace(\\\"}\\\", \\\"\\\")\\n # image = tk.PhotoImage(file=file_name)\\n if \\\".CR2\\\" in file_name:\\n '''Rawpy implementation'''\\n file_image = rawpy.imread(file_name)\\n file_image = file_image.postprocess()\\n '''Rawkit implementation'''\\n '''file_image = Raw(file_name)\\n file_image = np.array(file_image.to_buffer())'''\\n '''OpenCV implementation'''\\n '''file_image = cv2.imread(file_name)'''\\n else:\\n file_image = Image.open(file_name)\\n '''image = file_image.resize((500, 500), Image.ANTIALIAS)\\n image = ImageTk.PhotoImage(image)\\n gui.panel = tk.Label(gui.root, image=image)\\n gui.panel.image = image\\n gui.panel.pack()'''\\n # panel.grid(row=2)\\n\\n image_data = np.array(file_image)\\n image_data = cv2.cvtColor(image_data, cv2.COLOR_RGB2GRAY)\\n '''print(image_data.shape)\\n print(image_data)\\n print(len(image_data))\\n print(len(image_data[0]))'''\\n returned_image = Image.fromarray(image_data)\\n '''cv2.imshow(\\\"Gray\\\", image_data)\\n cv2.waitKey()\\n cv2.destroyWindow(\\\"Gray\\\")'''\\n\\n '''enhanced_contrast = ImageEnhance.Contrast(Image.fromarray(file_image))\\n enhanced_image = enhanced_contrast.enhance(255)\\n enhanced_data = np.array(enhanced_image)\\n plot_functions.imshow(enhanced_image)\\n plot_functions.show()'''\\n\\n # color_space = cv2.cvtColor(image_data, cv2.COLOR_RGB2HSV)\\n # print(color_space)\\n \\n '''Create mask for white-ish pixels'''\\n '''lower_background = np.array([150, 150, 150])\\n upper_background = np.array([255, 255, 255])\\n print(image_data)\\n white_mask = cv2.inRange(image_data, lower_background, upper_background)\\n white_mask = cv2.morphologyEx(white_mask, cv2.MORPH_OPEN, np.ones((3,3),np.uint8))\\n white_mask = cv2.morphologyEx(white_mask, cv2.MORPH_DILATE, np.ones((3, 3), np.uint8))\\n white_mask = white_mask / 255'''\\n\\n '''Create mask for black-ish pixels'''\\n '''lower_background = np.array([0, 0, 0])\\n upper_background = np.array([25, 25, 25])\\n black_mask = cv2.inRange(image_data, lower_background, upper_background)\\n black_mask = cv2.morphologyEx(black_mask, cv2.MORPH_OPEN, np.ones((3, 3), np.uint8))\\n black_mask = cv2.morphologyEx(black_mask, cv2.MORPH_DILATE, np.ones((3, 3), np.uint8))\\n black_mask = black_mask / 255'''\\n\\n '''Add masks together'''\\n '''background_mask = white_mask\\n # Ensure no value is above 1\\n background_mask = np.clip(background_mask, 0, 1)'''\\n \\n copied_image_data = np.asarray(returned_image).copy()\\n # background_mask = np.logical_not(background_mask)\\n '''for row_index, [mask_row, image_row] in enumerate(zip(background_mask, copied_image_data)):\\n # place black pixel on corresponding masked pixels\\n # copied_image_data[row_index] = np.array([image_row[pixel] * int(mask_row[pixel]) for pixel in range(len(mask_row))])\\n # make pixel fully white on corresponding masked pixels\\n copied_image_data[row_index] = np.array([np.array([255, 255, 255]) if int(mask_row[pixel]) else image_row[pixel] for pixel in range(len(mask_row))])'''\\n\\n '''Turn removed pixels red'''\\n '''mask_image = Image.fromarray(copied_image_data)\\n plot_functions.imshow(mask_image)\\n plot_functions.show()'''\\n trapezoid_data = copied_image_data.copy()\\n\\n enhanced_contrast = ImageEnhance.Contrast(Image.fromarray(trapezoid_data))\\n enhanced_image = enhanced_contrast.enhance(255)\\n trapezoid_data = np.array(enhanced_image)\\n\\n '''Detect lines'''\\n edges = cv2.Canny(trapezoid_data, 75, 150)\\n lines = cv2.HoughLinesP(edges, 1, np.pi / 180, 100, maxLineGap=1000)\\n # print(lines)\\n for line in lines:\\n x1, y1, x2, y2 = line[0]\\n if y1 == y2:\\n cv2.line(copied_image_data, (x1, y1), (x2, y2), (255, 255, 255), 1)\\n\\n '''Trapezoid attempt'''\\n\\n # filters image bilaterally and displays it\\n bilatImg = cv2.bilateralFilter(trapezoid_data, 5, 175, 175)\\n\\n # finds edges of bilaterally filtered image and displays it\\n edgeImg = cv2.Canny(bilatImg, 75, 200)\\n\\n # gets contours (outlines) for shapes and sorts from largest area to smallest area\\n contours, hierarchy = cv2.findContours(edgeImg, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\\n contours = sorted(contours, key=cv2.contourArea, reverse=True)\\n\\n # drawing red contours on the image\\n for con in contours:\\n cv2.drawContours(trapezoid_data, con, -1, (255, 255, 255), 3)\\n\\n '''Detect corners'''\\n dst = cv2.cornerHarris(edges, 30, 31, 0.001)\\n dst = cv2.dilate(dst, None)\\n ret, dst = cv2.threshold(dst, 0.01 * dst.max(), 255, 0)\\n dst = np.uint8(dst)\\n\\n # find centroids\\n ret, labels, stats, centroids = cv2.connectedComponentsWithStats(dst)\\n # define the criteria to stop and refine the corners\\n criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100,\\n 0.001)\\n corners = cv2.cornerSubPix(edges, np.float32(centroids), (5, 5),\\n (-1, -1), criteria)\\n\\n good_corners = []\\n for corner in corners:\\n if (corner[1] < 1000) & (corner[1] > 650) & (corner[0] > 250) & (corner[0] < 2250):\\n good_corners.append(corner)\\n cv2.circle(edges, (corner[0], corner[1]), 10, (255, 255, 255))\\n\\n print(good_corners)\\n if len(good_corners) >= 3:\\n corner_combos = itertools.combinations(good_corners, 3)\\n elif len(good_corners) > 1:\\n corner_combos = itertools.combinations(good_corners, 2)\\n\\n best_corner_combo = None\\n best_coef = np.inf\\n for corner_combo in corner_combos:\\n regression = LinearRegression().fit(np.array([corner[0] for corner in corner_combo]).reshape(-1, 1),\\n np.array([corner[1] for corner in corner_combo]))\\n if np.abs(regression.coef_) < best_coef:\\n best_coef = np.abs(regression.coef_)\\n best_corner_combo = np.array([corner[1] for corner in corner_combo])\\n\\n y_edge = int(round(np.mean(best_corner_combo)))\\n edges = edges[y_edge:3000, 200:2200]\\n copied_image_data = copied_image_data[y_edge:2500, 200:2200]\\n trapezoid_data = trapezoid_data[y_edge:2500, 200:2200]\\n\\n # and double-checking the outcome\\n cv2.imshow(\\\"linesEdges\\\", edges)\\n cv2.imshow(\\\"linesDetected\\\", copied_image_data)\\n cv2.imshow(\\\"Contours check\\\", trapezoid_data)\\n cv2.waitKey()\\n cv2.destroyWindow(\\\"Contours check\\\")\\n\\n # find the perimeter of the first closed contour\\n perim = cv2.arcLength(contours[0], True)\\n # setting the precision\\n epsilon = 0.02 * perim\\n # approximating the contour with a polygon\\n approxCorners = cv2.approxPolyDP(contours[0], epsilon, True)\\n # check how many vertices has the approximate polygon\\n approxCornersNumber = len(approxCorners)\\n\\n for corners in approxCorners:\\n cv2.circle(trapezoid_data, (corners[0], corners[1]), radius=10, color=(255, 255, 255), thickness=-1)\\n cv2.imshow(\\\"Vertex position\\\", trapezoid_data)\\n cv2.waitKey()\\n cv2.destroyWindow(\\\"Vertex position\\\")\\n cv2.imshow(\\\"linesEdges\\\", edges)\\n cv2.imshow(\\\"linesDetected\\\", copied_image_data)\\n cv2.waitKey(0)\\n cv2.destroyAllWindows()\\n\\n def _on_exit(self, gui):\\n if gui.program_running:\\n gui.update()\\n return WaitForDrop()\\n else:\\n return None\\n\\n class DragAndDropGUI:\\n \\\"\\\"\\\"\\n Object for a simple gui.\\n \\\"\\\"\\\"\\n\\n def __init__(self, root):\\n \\\"\\\"\\\"\\n Initializing the SimpleGUI object.\\n \\\"\\\"\\\"\\n self.root = root\\n w, h = root.winfo_screenwidth(), self.root.winfo_screenheight()\\n self.root.geometry(\\\"%dx%d+0+0\\\" % (w, h))\\n self.root.protocol(\\\"WM_DELETE_WINDOW\\\", self.end_program)\\n self.program_running = True\\n\\n def update(self):\\n \\\"\\\"\\\"\\n Update the GUI.\\n\\n :return:\\n \\\"\\\"\\\"\\n self.root.update_idletasks()\\n self.root.update()\\n return self.root\\n\\n def end_program(self):\\n \\\"\\\"\\\"\\n Ends the program.\\n\\n :return:\\n \\\"\\\"\\\"\\n if self.entry_sv.get() != \\\" \\\":\\n self.entry_sv.set(\\\" \\\")\\n else:\\n self.entry_sv.set(\\\"!\\\")\\n self.root.destroy()\\n self.program_running = False\\n\\n '''Initialize and run GUI object'''\\n root = tkinterdnd2.Tk()\\n # Maximize window while maintaining title bar\\n gui = DragAndDropGUI(root)\\n state_machine = StateMachine(initial_state=InitialState())\\n state_machine.run(gui)\",\n \"def dropEvent(self, e: QtGui.QDropEvent):\\n src = e.source()\\n if src is not self:\\n for item in src.selectedItems():\\n clone = item.clone()\\n clone.setFlags(clone.flags() | Qt.ItemIsEditable)\\n self.addTopLevelItem(clone)\\n super().dropEvent(e) # Call the original function\",\n \"def drop(self, event):\\n self.config(cursor='arrow')\",\n \"def player_drop(self, item):\\n dropped = self.drop(item)\\n if dropped:\\n self.handler.message_box.add_msg(\\\"You drop the {}!\\\".format(dropped),\\n data.COLOURS['player_item_text'])\",\n \"def mouseReleaseEvent (self, event):\\n if self.itemMoved:\\n self.parentWidget.DataChanged.emit()\\n self.itemMoved = False; \\n super(DiagramItem, self).mouseReleaseEvent(event)\",\n \"def mouseMoveEvent(self, e):\\n if e.buttons() != Qt.LeftButton:\\n return\\n\\n mimeData = QtCore.QMimeData()\\n mimeData.setData(\\n app.NODE_MIMETYPE,\\n QtCore.QByteArray(bytes('data string', 'utf-8')),\\n )\\n\\n drag = QtGui.QDrag(self)\\n drag.setMimeData(mimeData)\\n drag.setHotSpot(e.pos() - self.rect().topLeft())\\n \\n dropAction = drag.exec_(Qt.MoveAction)\",\n \"def drop(self):\\n init_x = self.x\\n init_y = self.y\\n init_z = self.z\\n drop_z = self.drop_height\\n \\n #drop to given height\\n self.move_to(init_x, init_y, drop_z)\\n \\n #open gripper\\n self.gripper.command_position(100)\\n \\n #return to initial position\\n self.move_to(init_x, init_y, init_z)\",\n \"def dragEnterEvent(self, event):\",\n \"def drag_and_drop(self, droppable):\\n self.scroll_to()\\n ActionChains(self.driver).drag_and_drop(\\n self._element,\\n droppable._element,\\n ).perform()\",\n \"def slider_dragged(self):\\n pass\",\n \"def SetCallbackFunc( self, dropCallbacFunc=None ) :\\n \\n # Create a dropFiles event association for this control.\\n # [ SetDropTarget ] is a built-in method for (all ?) controls.\\n self.folderDropTarget.SetDropTarget( ddt.FilesDropTarget( self.folderDropTarget ) )\\n \\n # Install the callback-function for this class's parent-widget dropFiles-event.\\n self.folderDropTarget.dropFunc = dropCallbacFunc\",\n \"def drag_data_received(self, widget, context, x, y, sel_data, info, time):\\n if not sel_data:\\n return\\n #modern file managers provide URI_LIST. For Windows split sel_data.data\\n files = sel_data.get_uris()\\n for file in files:\\n if win():\\n clean_string = conv_to_unicode(\\n file.replace('\\\\0',' ').replace(\\\"\\\\r\\\", \\\" \\\").strip(),\\n None)\\n else:\\n clean_string = file\\n protocol, site, mfile, j, k, l = urlparse(clean_string)\\n if protocol == \\\"file\\\":\\n name = url2pathname(mfile)\\n mime = get_type(name)\\n if not is_valid_type(mime):\\n return\\n photo = MediaObject()\\n self.uistate.set_busy_cursor(True)\\n photo.set_checksum(create_checksum(name))\\n self.uistate.set_busy_cursor(False)\\n base_dir = cuni(media_path(self.dbstate.db))\\n if os.path.exists(base_dir):\\n name = relative_path(name, base_dir)\\n photo.set_path(name)\\n photo.set_mime_type(mime)\\n basename = os.path.basename(name)\\n (root, ext) = os.path.splitext(basename)\\n photo.set_description(root)\\n with DbTxn(_(\\\"Drag Media Object\\\"), self.dbstate.db) as trans:\\n self.dbstate.db.add_object(photo, trans)\\n widget.emit_stop_by_name('drag_data_received')\",\n \"def dragMoveEvent(self, event):\\n if event.mimeData().hasImage:\\n event.accept()\\n else:\\n event.ignore()\",\n \"def drag_and_drop(self,param,ignore_error_handle = False):\\n message = {}\\n origin_element = param.get('origin',None);\\n destination_element = param.get('destination',None);\\n step = 'drag a element to another element'\\n try:\\n self.driver.drag_and_drop(origin_element,destination_element);\\n message = self.feedback.feedback_action_ok(step);\\n except BaseException,e:\\n message = self.feedback.feedback_action_fail(step,str(e),ignore_error_handle);\\n finally:\\n return message;\",\n \"def button_release_cb(self, darea, event):\\n self.oldx, self.oldy = event.x, event.y\\n self.draw_pointer(self.cr, None, None)\\n self.queue_draw()\\n self.oldx, self.oldy = None, None\\n self.emit('end-dnd')\\n return True\",\n \"def _fire_dropping(self):\\n\\t\\tif len(self.droppings) < self.settings.droppings_allowed:\\n\\t\\t\\tnew_dropping = Dropping(self)\\n\\t\\t\\tself.droppings.add(new_dropping)\",\n \"def button_press_cb(self, darea, event):\\n x, y = event.x, event.y\\n self.draw_pointer(self.cr, x, y)\\n self.queue_draw()\\n self.oldx, self.oldy = x, y\\n rel_x, rel_y = self.absolute_to_relative(x, y)\\n self.emit('dnd-value', rel_x, rel_y)\\n self.emit('start-dnd')\\n return True\",\n \"def mouseMoveEvent(self, e):\\n if self.mousePressed:\\n Globals.dragObject = QTextDrag('PKSampler: dragging a track', self)\\n Globals.dragObject.trackFrame = self\\n Globals.dragObject.dragCopy()\",\n \"def mouseDragged(self, point, delta):\\n pass\",\n \"def _dropMove(self, point: QPoint, selectedFiles: List[QModelIndex]) -> None:\\n selectedFiles = [self._currPath.joinpath(x.data()) for i, x in enumerate(selectedFiles)\\n if i % len(self._modelHeaders) == 0]\\n try:\\n filename = self._mainFileView.indexAt(point).siblingAtColumn(0).data()\\n dest = self._currPath.joinpath(filename)\\n if dest.is_file():\\n return\\n duplicates = []\\n for src in selectedFiles:\\n dest = self._currPath.joinpath(filename).joinpath(src.name)\\n if str(src) in str(dest):\\n return\\n if dest.exists():\\n duplicates.append(dest)\\n if duplicates:\\n if self._overwriteFileMsgBox(duplicates) == QMessageBox.Cancel:\\n return\\n for src in selectedFiles:\\n dest = self._currPath.joinpath(filename).joinpath(src.name)\\n if not src.exists():\\n raise FileNotFoundError\\n if src.is_file():\\n shutil.move(str(src), str(dest))\\n elif src.is_dir():\\n dir_util.copy_tree(str(src), str(dest))\\n shutil.rmtree(src)\\n except FileNotFoundError:\\n self._statusBar.showMessage('File not found!', 3000)\\n except TypeError: # when the files are dropped on empty area\\n pass\\n finally:\\n self._listDirectories()\",\n \"def do_drop(self, arg):\\r\\n\\r\\n # put this value in a more suitably named variable\\r\\n itemToDrop = arg.lower()\\r\\n\\r\\n # get a list of all \\\"description words\\\" for each item in the inventory\\r\\n invDescWords = getAllDescWords(inventory)\\r\\n\\r\\n # find out if the player doesn't have that item\\r\\n if itemToDrop not in invDescWords:\\r\\n print('You do not have \\\"%s\\\" in your inventory.' % (itemToDrop))\\r\\n return\\r\\n\\r\\n # get the item name that the player's command describes\\r\\n item = getFirstItemMatchingDesc(itemToDrop, inventory)\\r\\n if item != None:\\r\\n print('You drop %s.' % (worldItems[item][SHORTDESC]))\\r\\n inventory.remove(item) # remove from inventory\\r\\n worldRooms[location][GROUND].append(item) # add to the ground\\r\",\n \"def OnTabEndDrag(self, event):\\r\\n\\r\\n tabs = event.GetEventObject()\\r\\n if not tabs.GetEnabled(event.GetSelection()):\\r\\n return\\r\\n\\r\\n self._mgr.HideHint()\\r\\n\\r\\n src_tabs = event.GetEventObject()\\r\\n if not src_tabs:\\r\\n raise Exception(\\\"no source object?\\\")\\r\\n\\r\\n src_tabs.SetCursor(wx.StockCursor(wx.CURSOR_ARROW))\\r\\n\\r\\n # get the mouse position, which will be used to determine the drop point\\r\\n mouse_screen_pt = wx.GetMousePosition()\\r\\n mouse_client_pt = self.ScreenToClient(mouse_screen_pt)\\r\\n\\r\\n # check for an external move\\r\\n if self._agwFlags & AUI_NB_TAB_EXTERNAL_MOVE:\\r\\n tab_ctrl = wx.FindWindowAtPoint(mouse_screen_pt)\\r\\n\\r\\n while tab_ctrl:\\r\\n \\r\\n if isinstance(tab_ctrl, AuiTabCtrl):\\r\\n break\\r\\n \\r\\n tab_ctrl = tab_ctrl.GetParent()\\r\\n \\r\\n if tab_ctrl:\\r\\n \\r\\n nb = tab_ctrl.GetParent()\\r\\n\\r\\n if nb != self:\\r\\n \\r\\n # find out from the destination control\\r\\n # if it's ok to drop this tab here\\r\\n e = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_ALLOW_DND, self.GetId())\\r\\n e.SetSelection(event.GetSelection())\\r\\n e.SetOldSelection(event.GetSelection())\\r\\n e.SetEventObject(self)\\r\\n e.SetDragSource(self)\\r\\n e.Veto() # dropping must be explicitly approved by control owner\\r\\n\\r\\n nb.GetEventHandler().ProcessEvent(e)\\r\\n\\r\\n if not e.IsAllowed():\\r\\n \\r\\n # no answer or negative answer\\r\\n self._mgr.HideHint()\\r\\n return\\r\\n \\r\\n # drop was allowed\\r\\n src_idx = event.GetSelection()\\r\\n src_page = src_tabs.GetWindowFromIdx(src_idx)\\r\\n\\r\\n # Check that it's not an impossible parent relationship\\r\\n p = nb\\r\\n while p and not p.IsTopLevel():\\r\\n if p == src_page:\\r\\n return\\r\\n \\r\\n p = p.GetParent()\\r\\n\\r\\n # get main index of the page\\r\\n main_idx = self._tabs.GetIdxFromWindow(src_page)\\r\\n if main_idx == wx.NOT_FOUND:\\r\\n raise Exception(\\\"no source page?\\\")\\r\\n\\r\\n # make a copy of the page info\\r\\n page_info = self._tabs.GetPage(main_idx)\\r\\n\\r\\n # remove the page from the source notebook\\r\\n self.RemovePage(main_idx)\\r\\n\\r\\n # reparent the page\\r\\n src_page.Reparent(nb)\\r\\n\\r\\n # Reparent the control in a tab (if any)\\r\\n if page_info.control:\\r\\n self.ReparentControl(page_info.control, tab_ctrl)\\r\\n\\r\\n # find out the insert idx\\r\\n dest_tabs = tab_ctrl\\r\\n pt = dest_tabs.ScreenToClient(mouse_screen_pt)\\r\\n\\r\\n target = dest_tabs.TabHitTest(pt.x, pt.y)\\r\\n insert_idx = -1\\r\\n if target:\\r\\n insert_idx = dest_tabs.GetIdxFromWindow(target)\\r\\n\\r\\n # add the page to the new notebook\\r\\n if insert_idx == -1:\\r\\n insert_idx = dest_tabs.GetPageCount()\\r\\n \\r\\n dest_tabs.InsertPage(page_info.window, page_info, insert_idx)\\r\\n nb._tabs.AddPage(page_info.window, page_info)\\r\\n\\r\\n nb.DoSizing()\\r\\n dest_tabs.DoShowHide()\\r\\n dest_tabs.Refresh()\\r\\n\\r\\n # set the selection in the destination tab control\\r\\n nb.SetSelectionToPage(page_info)\\r\\n\\r\\n # notify owner that the tab has been dragged\\r\\n e2 = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_DRAG_DONE, self.GetId())\\r\\n e2.SetSelection(event.GetSelection())\\r\\n e2.SetOldSelection(event.GetSelection())\\r\\n e2.SetEventObject(self)\\r\\n self.GetEventHandler().ProcessEvent(e2)\\r\\n\\r\\n return\\r\\n\\r\\n if self._agwFlags & AUI_NB_TAB_FLOAT:\\r\\n self._mgr.HideHint() \\r\\n if self.IsMouseWellOutsideWindow(): \\r\\n # Use CallAfter so we our superclass can deal with the event first\\r\\n wx.CallAfter(self.FloatPage, self.GetSelection())\\r\\n event.Skip()\\r\\n return\\r\\n \\r\\n # only perform a tab split if it's allowed\\r\\n dest_tabs = None\\r\\n\\r\\n if self._agwFlags & AUI_NB_TAB_SPLIT and self._tabs.GetPageCount() >= 2:\\r\\n \\r\\n # If the pointer is in an existing tab frame, do a tab insert\\r\\n hit_wnd = wx.FindWindowAtPoint(mouse_screen_pt)\\r\\n tab_frame = self.GetTabFrameFromTabCtrl(hit_wnd)\\r\\n insert_idx = -1\\r\\n \\r\\n if tab_frame:\\r\\n \\r\\n dest_tabs = tab_frame._tabs\\r\\n\\r\\n if dest_tabs == src_tabs:\\r\\n return\\r\\n\\r\\n pt = dest_tabs.ScreenToClient(mouse_screen_pt)\\r\\n target = dest_tabs.TabHitTest(pt.x, pt.y)\\r\\n \\r\\n if target: \\r\\n insert_idx = dest_tabs.GetIdxFromWindow(target)\\r\\n \\r\\n else:\\r\\n \\r\\n zero = wx.Point(0, 0)\\r\\n rect = self._mgr.CalculateHintRect(self._dummy_wnd, mouse_client_pt, zero)\\r\\n \\r\\n if rect.IsEmpty():\\r\\n # there is no suitable drop location here, exit out\\r\\n return\\r\\n \\r\\n # If there is no tabframe at all, create one\\r\\n new_tabs = TabFrame(self)\\r\\n new_tabs._rect = wx.RectPS(wx.Point(0, 0), self.CalculateNewSplitSize())\\r\\n new_tabs.SetTabCtrlHeight(self._tab_ctrl_height)\\r\\n self._tab_id_counter += 1\\r\\n new_tabs._tabs = AuiTabCtrl(self, self._tab_id_counter)\\r\\n new_tabs._tabs.SetArtProvider(self._tabs.GetArtProvider().Clone())\\r\\n new_tabs._tabs.SetAGWFlags(self._agwFlags)\\r\\n\\r\\n self._mgr.AddPane(new_tabs, framemanager.AuiPaneInfo().Bottom().CaptionVisible(False), mouse_client_pt)\\r\\n self._mgr.Update()\\r\\n dest_tabs = new_tabs._tabs\\r\\n \\r\\n # remove the page from the source tabs\\r\\n page_info = src_tabs.GetPage(event.GetSelection())\\r\\n\\r\\n if page_info.control:\\r\\n self.ReparentControl(page_info.control, dest_tabs)\\r\\n\\r\\n page_info.active = False\\r\\n src_tabs.RemovePage(page_info.window)\\r\\n\\r\\n if src_tabs.GetPageCount() > 0: \\r\\n src_tabs.SetActivePage(0)\\r\\n src_tabs.DoShowHide()\\r\\n src_tabs.Refresh()\\r\\n\\r\\n # add the page to the destination tabs\\r\\n if insert_idx == -1:\\r\\n insert_idx = dest_tabs.GetPageCount()\\r\\n\\r\\n dest_tabs.InsertPage(page_info.window, page_info, insert_idx)\\r\\n \\r\\n if src_tabs.GetPageCount() == 0:\\r\\n self.RemoveEmptyTabFrames()\\r\\n\\r\\n self.DoSizing()\\r\\n dest_tabs.DoShowHide()\\r\\n dest_tabs.Refresh()\\r\\n\\r\\n # force the set selection function reset the selection\\r\\n self._curpage = -1\\r\\n\\r\\n # set the active page to the one we just split off\\r\\n self.SetSelectionToPage(page_info)\\r\\n\\r\\n self.UpdateHintWindowSize()\\r\\n \\r\\n # notify owner that the tab has been dragged\\r\\n e = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_DRAG_DONE, self.GetId())\\r\\n e.SetSelection(event.GetSelection())\\r\\n e.SetOldSelection(event.GetSelection())\\r\\n e.SetEventObject(self)\\r\\n self.GetEventHandler().ProcessEvent(e)\",\n \"def _on_enter(self, gui):\\n print(\\\"In initial state.\\\")\\n\\n '''Create drag and drop window'''\\n gui.entry_sv = tk.StringVar()\\n gui.drop_box_list = []\\n gui.drop_box_items = tk.Listbox(master=gui.root, listvariable=gui.drop_box_list)\\n gui.drop_box_text = tk.StringVar()\\n gui.drop_box_text.set(\\\"Drop images here\\\")\\n gui.entry = tk.Entry(gui.root, textvar=gui.drop_box_text, justify='center')\\n gui.entry.config(font=(\\\"Courier\\\", 44))\\n gui.entry.place(x = 200, y=200, width=800, height=800)\\n #gui.entry.pack()\\n gui.entry.drop_target_register(DND_FILES)\\n gui.entry.dnd_bind('<<Drop>>', self.drop(gui))\\n gui.update()\",\n \"def DoDropPane(self, panes, target, dock_direction, dock_layer, dock_row, dock_pos):\\r\\n \\r\\n drop = self.CopyTarget(target)\\r\\n panes = DoInsertPane(panes, dock_direction, dock_layer, dock_row, dock_pos)\\r\\n\\r\\n drop.Dock().Direction(dock_direction).Layer(dock_layer).Row(dock_row).Position(dock_pos)\\r\\n return self.ProcessDockResult(target, drop)\",\n \"def drag_and_drop(self, source_selector, target_selector):\\n self._wait_element_localed(self.driver, source_selector)\\n source = self.get_element(source_selector)\\n self._wait_element_localed(self.driver, target_selector)\\n target = self.get_element(target_selector)\\n ActionChains(self.driver).drag_and_drop(source, target)\",\n \"def _ondrag(self, item, fun, num=1, add=None):\\n if fun is None:\\n self.cv.tag_unbind(item, \\\"<Button%s-Motion>\\\" % num)\\n else:\\n def eventfun(event):\\n try:\\n x, y = (self.cv.canvasx(event.x)/self.xscale,\\n -self.cv.canvasy(event.y)/self.yscale)\\n fun(x, y)\\n except Exception:\\n pass\\n self.cv.tag_bind(item, \\\"<Button%s-Motion>\\\" % num, eventfun, add)\",\n \"def process_dropped_data(self, item, origin: str, path: Path):\\n\\n layer_type_origin_map = {\\n PRESENTATION: LayerType.PRESENTATION,\\n PRIMARY: LayerType.PRIMARY,\\n SECONDARY: LayerType.SECONDARY\\n }\\n\\n bounding_rect = item.boundingRect()\\n\\n pos = Position(item.x() * SVG_SCALE_FACTOR, item.y() * SVG_SCALE_FACTOR, item.zValue())\\n\\n size = Size(bounding_rect.width() * SVG_SCALE_FACTOR, bounding_rect.height() * SVG_SCALE_FACTOR)\\n\\n if origin == BACKGROUND:\\n self.__template.set_background(str(path), size=size)\\n else:\\n try:\\n layer = self.__template.add_layer(pos=pos, size=size, _type=layer_type_origin_map[origin])\\n except NoBaseSvgError as err:\\n self.removeItem(item)\\n error_dialog = QErrorMessage(self.parent())\\n error_dialog.showMessage(str(err))\\n else:\\n self.__template.map_layer_with_item(layer, graphic_item=item)\",\n \"def dragMoveEvent(self, event: QtGui.QDragMoveEvent) -> None:\\n if event.mimeData().hasImage:\\n event.accept()\\n else:\\n event.ignore()\",\n \"def OnTokenButtonRelease(self, event):\\n self._drag_data = {\\\"x\\\": 0, \\\"item\\\": None}\\n\\n # Rebind the main GUI buttons because they are unbinded while dragging the beats\\n self.myMainGUI.root.after(200, self.myMainGUI.bindButtons)\",\n \"def drop_inventory(self):\\n header = \\\"Choose item to drop:\\\\n\\\"\\n def drop(get_gameworld_cell, x, y, item):\\n item_entity = ItemPickup([item], x, y, get_gameworld_cell)\\n events.trigger_event(\\\"world_add_entity\\\", item_entity)\\n self.inventory.remove(item)\\n action_list = [(item, functools.partial(drop, get_gameworld_cell=self.get_gameworld_cell, x=self.x, y=self.y, item=item)) for item in self.inventory]\\n if len(action_list) == 0:\\n header += \\\"You hold nothing!\\\"\\n events.trigger_event(\\\"print_list\\\", action_list, header=header)\",\n \"def OnLeftUp_DragFloatingPane(self, eventOrPt):\\r\\n\\r\\n if isinstance(eventOrPt, wx.Point):\\r\\n clientPt = self._frame.ScreenToClient(eventOrPt)\\r\\n screenPt = wx.Point(*eventOrPt)\\r\\n else:\\r\\n clientPt = eventOrPt.GetPosition()\\r\\n screenPt = self._frame.ClientToScreen(clientPt)\\r\\n\\r\\n # try to find the pane\\r\\n paneInfo = self.GetPane(self._action_window)\\r\\n if not paneInfo.IsOk():\\r\\n raise Exception(\\\"Pane window not found\\\")\\r\\n\\r\\n ret = False\\r\\n \\r\\n if paneInfo.frame:\\r\\n \\r\\n # calculate the offset from the upper left-hand corner\\r\\n # of the frame to the mouse pointer\\r\\n framePos = paneInfo.frame.GetPosition()\\r\\n action_offset = screenPt - framePos\\r\\n\\r\\n # is the pane dockable?\\r\\n if self.CanDockPanel(paneInfo):\\r\\n # do the drop calculation\\r\\n indx = self._panes.index(paneInfo)\\r\\n ret, paneInfo = self.DoDrop(self._docks, self._panes, paneInfo, clientPt, action_offset)\\r\\n\\r\\n if ret:\\r\\n e = self.FireEvent(wxEVT_AUI_PANE_DOCKING, paneInfo, canVeto=True)\\r\\n if e.GetVeto():\\r\\n self.HideHint()\\r\\n ShowDockingGuides(self._guides, False)\\r\\n return\\r\\n\\r\\n e = self.FireEvent(wxEVT_AUI_PANE_DOCKED, paneInfo, canVeto=False)\\r\\n\\r\\n if self._agwFlags & AUI_MGR_SMOOTH_DOCKING:\\r\\n self.SmoothDock(paneInfo)\\r\\n\\r\\n self._panes[indx] = paneInfo\\r\\n \\r\\n # if the pane is still floating, update it's floating\\r\\n # position (that we store)\\r\\n if paneInfo.IsFloating():\\r\\n paneInfo.floating_pos = paneInfo.frame.GetPosition()\\r\\n if paneInfo.frame._transparent != paneInfo.transparent or self._agwFlags & AUI_MGR_TRANSPARENT_DRAG:\\r\\n paneInfo.frame.SetTransparent(paneInfo.transparent)\\r\\n paneInfo.frame._transparent = paneInfo.transparent\\r\\n \\r\\n elif self._has_maximized:\\r\\n self.RestoreMaximizedPane()\\r\\n \\r\\n # reorder for dropping to a new notebook\\r\\n # (caution: this code breaks the reference!)\\r\\n tempPaneInfo = self.CopyTarget(paneInfo)\\r\\n self._panes.remove(paneInfo)\\r\\n self._panes.append(tempPaneInfo)\\r\\n\\r\\n if ret:\\r\\n self.Update()\\r\\n\\r\\n self.HideHint()\\r\\n ShowDockingGuides(self._guides, False)\",\n \"def _on_exit(self, gui):\\n gui.update()\\n return WaitForDrop()\",\n \"def _drop_tree_items(self, drop_items, drop_id_color):\\n\\n # Block the selection signals while we process the drop\\n self.selectSignalBlocked = True\\n\\n # Get the drop id color parent - the aov id tree widget item\\n drop_id_set = drop_id_color.parent()\\n\\n # Drop the items into the new parent\\n for item in drop_items:\\n if item.parent().parent().text(0) != drop_id_color.parent().text(0):\\n drop_items.remove(item)\\n else:\\n item.parent().removeChild(item)\\n\\n drop_id_color.insertChildren(0, drop_items)\\n\\n # Set the items as selected\\n for item in drop_items:\\n item.setSelected(True)\\n\\n # Set new idColor - need to optimize!\\n utils.set_attribute_id(item.data(1, QtCore.Qt.UserRole),\\n drop_id_set.data(1, QtCore.Qt.UserRole),\\n drop_id_color.data(1, QtCore.Qt.UserRole))\\n\\n # Set the new parent as expanded so we can see the dropped items\\n drop_id_color.setExpanded(True)\\n\\n # Unblock the selection change signals\\n self.selectSignalBlocked = False\\n\\n return None\",\n \"def handle_actor_drop(data: bytes) -> Tuple[bytes, str]:\\n # TODO: reverse first 9 bytes\\n item_id = struct.unpack('I', data[:4])[0]\\n unknown = struct.unpack('I', data[4:8])[0] # noqa: F841\\n unknown2 = data[9] # noqa: F841\\n item_name_length = struct.unpack('H', data[9:11])[0]\\n item_name = data[11:11+item_name_length].decode(helpers.ENCODING)\\n x, y, z = struct.unpack('fff',\\n data[11+item_name_length:11+item_name_length+3*4])\\n\\n message = f'[{item_id}] {item_name} dropped at: {x} {y} {z}'\\n\\n # Pick up drops automatically\\n if \\\"Drop\\\" in item_name:\\n message += f'\\\\n\\\\t;) Auto-looting {item_id}'\\n packet = struct.pack('=HI', 0x6565, item_id)\\n helpers.PACKET_QUEUE.put(packet)\\n # TODO: not sure about last few bytes\\n return data[11+item_name_length+3*4:], message\",\n \"def drop(self):\\n pass\",\n \"def drop(self):\\n pass\",\n \"def drop(self, item: Item):\\n self.items.remove(item)\\n item.place(self.parent.x, self.parent.y, self.gamemap)\\n\\n self.engine.message_log.add_message(f'You yeeted the {item.name}.')\",\n \"def toolDropped(*args, **kwargs)->None:\\n pass\",\n \"def DoDropLayer(self, docks, target, dock_direction):\\r\\n\\r\\n drop = self.CopyTarget(target)\\r\\n \\r\\n if dock_direction == AUI_DOCK_LEFT:\\r\\n drop.Dock().Left()\\r\\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_LEFT),\\r\\n GetMaxLayer(docks, AUI_DOCK_BOTTOM)),\\r\\n GetMaxLayer(docks, AUI_DOCK_TOP)) + 1\\r\\n\\r\\n elif dock_direction == AUI_DOCK_TOP:\\r\\n drop.Dock().Top()\\r\\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_TOP),\\r\\n GetMaxLayer(docks, AUI_DOCK_LEFT)),\\r\\n GetMaxLayer(docks, AUI_DOCK_RIGHT)) + 1\\r\\n\\r\\n elif dock_direction == AUI_DOCK_RIGHT:\\r\\n drop.Dock().Right()\\r\\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_RIGHT),\\r\\n GetMaxLayer(docks, AUI_DOCK_TOP)),\\r\\n GetMaxLayer(docks, AUI_DOCK_BOTTOM)) + 1\\r\\n\\r\\n elif dock_direction == AUI_DOCK_BOTTOM:\\r\\n drop.Dock().Bottom()\\r\\n drop_new_layer = max(max(GetMaxLayer(docks, AUI_DOCK_BOTTOM),\\r\\n GetMaxLayer(docks, AUI_DOCK_LEFT)),\\r\\n GetMaxLayer(docks, AUI_DOCK_RIGHT)) + 1\\r\\n\\r\\n else:\\r\\n return False, target\\r\\n \\r\\n\\r\\n drop.Dock().Layer(drop_new_layer)\\r\\n return self.ProcessDockResult(target, drop)\",\n \"def OnCaptureLost(self, event):\\r\\n\\r\\n if self._is_dragging:\\r\\n self._is_dragging = False\\r\\n self._on_button = False\\r\\n\\r\\n if self._drag_image:\\r\\n self._drag_image.EndDrag()\\r\\n del self._drag_image\\r\\n self._drag_image = None\\r\\n \\r\\n event = AuiNotebookEvent(wxEVT_COMMAND_AUINOTEBOOK_CANCEL_DRAG, self.GetId())\\r\\n event.SetSelection(self.GetIdxFromWindow(self._click_tab))\\r\\n event.SetOldSelection(event.GetSelection())\\r\\n event.SetEventObject(self)\\r\\n self.GetEventHandler().ProcessEvent(event)\",\n \"def process_IN_UNMOUNT(self, event):\",\n \"def _on_articles_dropped_to_trash(self, evt):\\n \\n # get articles\\n articles = [core.Article(dbid=i) for i in evt.articles_dbids]\\n \\n # update library\\n self._library.trash(articles, True)\\n \\n # refresh collections view\\n self._collections_view.UpdateCounts()\\n \\n # refresh articles view\\n self._articles_view.ShowArticles()\",\n \"def drop(self, oldpos, fieldgroup, currentplayer):\\n\\t\\ttry:\\n\\t\\t\\tdropped_on = pygame.sprite.spritecollide(self,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t fieldgroup,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t False)[0]\\n\\t\\t\\tif dropped_on.type == \\\"home\\\":\\n\\t\\t\\t\\tcurrentplayer[\\\"meeples_home\\\"] += 1\\n\\t\\t\\telif dropped_on.id == currentplayer.name*10:\\n\\t\\t\\t\\tcurrentplayer.meeples_out -= 1\\n\\t\\t\\tself.grabbed = False\\n\\n\\t\\t\\treturn True\\n\\t\\texcept:\\n\\t\\t\\tself.rect = oldpos\\n\\t\\t\\tself.grabbed = False\\n\\t\\t\\treturn False\",\n \"def dnd_end(self, target, event):\\n\\n self._dnd_started = False\\n\\n if self._dnd_source and self.rgb:\\n # Re-bind events that are dropped by dnd.py\\n self._canvas.bind('<B1-Motion>', self._start_dnd)\\n self._canvas.bind('<B1-ButtonRelease-1>', self._update_color)\",\n \"def OnMoveFinished(self):\\r\\n\\r\\n # notify the owner manager that the pane has finished moving\\r\\n if self._owner_mgr:\\r\\n self._owner_mgr._action_window = self._pane_window\\r\\n point = wx.GetMousePosition()\\r\\n if self._is_toolbar:\\r\\n self._owner_mgr.OnLeftUp_DragToolbarPane(point)\\r\\n else:\\r\\n self._owner_mgr.OnLeftUp_DragFloatingPane(point)\\r\\n\\r\\n self._owner_mgr.OnFloatingPaneMoved(self._pane_window, point)\",\n \"def __init__(self, obj):\\n \\n wx.TextDropTarget.__init__(self) # Initialize the wx.TextDropTarget Object\\n self.obj = obj# Store the Object Reference for dropped text\",\n \"def mouseMoveEvent (self, event):\\n self.itemMoved = True\\n super(DiagramItem, self).mouseMoveEvent(event)\",\n \"def drop(self):\\n Game.instance.area_map.entities.append(self.owner)\\n Game.instance.inventory.remove(self.owner)\\n self.owner.x = Game.instance.player.x\\n self.owner.y = Game.instance.player.y\\n message('You dropped a ' + self.owner.name + '.', palette.yellow)\",\n \"def drop_field(self, field):\\r\\n self.dropped_fields.add(field)\",\n \"def mounted(self):\\n self.vue.dragAndDropCapable = self.determineDragAndDropCapable();\\n \\\"\\\"\\\"\\n If drag and drop capable, then we continue to bind events to our elements.\\n \\\"\\\"\\\"\\n if( self.vue.dragAndDropCapable ):\\n \\\"\\\"\\\"\\n Listen to all of the drag events and bind an event listener to each\\n for the fileform.\\n \\\"\\\"\\\"\\n \\n def for_events(evt):\\n def add_event(e):\\n e.preventDefault();\\n e.stopPropagation();\\n add_event.bind(self.vue)\\n \\\"\\\"\\\"\\n For each event add an event listener that prevents the default action\\n (opening the file in the browser) and stop the propagation of the event (so\\n no other elements open the file in the browser)\\n \\\"\\\"\\\"\\n self.vue[\\\"$refs\\\"].fileform.addEventListener(evt,add_event,False)\\n for_events.bind(self.vue)\\n ['drag', 'dragstart', 'dragend', 'dragover', 'dragenter', 'dragleave', 'drop'].forEach(for_events);\\n \\\"\\\"\\\"\\n Add an event listener for drop to the form\\n \\\"\\\"\\\"\\n def capture_files(e):\\n \\\"\\\"\\\"\\n Capture the files from the drop event and add them to our local files\\n array.\\n \\\"\\\"\\\"\\n i = 0\\n \\n while i < e.dataTransfer.files.length:\\n self.vue.files.push( e.dataTransfer.files[i] );\\n i+=1\\n self.getImagePreviews()\\n self.submitFiles()\\n capture_files.bind(this)\\n self.vue[\\\"$refs\\\"].fileform.addEventListener('drop', capture_files);\\n __pragma__ ('jsiter') \\n fetch('/json/media/',\\n {\\n \\\"method\\\":\\\"GET\\\",\\n })\\\\\\n .then(lambda res:res.json())\\\\\\n .then(self.drawImages)\\\\\\n .catch(lambda e:console.log('FAILURE!!',e));\\n __pragma__ ('nojsiter')\",\n \"def _on_motion(self, event):\\n if not self._visual_drag.winfo_ismapped():\\n return\\n\\n if self._drag_cols and self._dragged_col is not None:\\n self._drag_col(event)\\n elif self._drag_rows and self._dragged_row is not None:\\n self._drag_row(event)\",\n \"def _handle_player_collide_item(self, player: Player, dropped_item: DroppedItem,\\n data, arbiter: pymunk.Arbiter) -> bool:\\n\\n dropped_item.collect(self._player)\\n self._world.remove_item(dropped_item)\\n return False\",\n \"def dragEnterEvent(self, e):\\n # TODO: Do it properly.\\n # TODO: Redraw widget while dragging.\\n e.accept()\",\n \"def OnMotion(self, event):\\r\\n \\r\\n # start a drag event\\r\\n if not self._dragging and self._action_item != None and self._action_pos != wx.Point(-1, -1) and \\\\\\r\\n abs(event.m_x - self._action_pos.x) + abs(event.m_y - self._action_pos.y) > 5:\\r\\n \\r\\n self.SetToolTipString(\\\"\\\")\\r\\n self._dragging = True\\r\\n\\r\\n e = AuiToolBarEvent(wxEVT_COMMAND_AUITOOLBAR_BEGIN_DRAG, self.GetId())\\r\\n e.SetEventObject(self)\\r\\n e.SetToolId(self._action_item.id)\\r\\n self.ProcessEvent(e)\\r\\n self.DoIdleUpdate()\\r\\n return\\r\\n \\r\\n hit_item = self.FindToolForPosition(*event.GetPosition())\\r\\n \\r\\n if hit_item: \\r\\n if not hit_item.state & AUI_BUTTON_STATE_DISABLED:\\r\\n self.SetHoverItem(hit_item)\\r\\n else:\\r\\n self.SetHoverItem(None)\\r\\n \\r\\n else: \\r\\n # no hit item, remove any hit item\\r\\n self.SetHoverItem(hit_item)\\r\\n \\r\\n # figure out tooltips\\r\\n packing_hit_item = self.FindToolForPositionWithPacking(*event.GetPosition())\\r\\n \\r\\n if packing_hit_item:\\r\\n \\r\\n if packing_hit_item != self._tip_item:\\r\\n self._tip_item = packing_hit_item\\r\\n\\r\\n if packing_hit_item.short_help != \\\"\\\":\\r\\n self.StartPreviewTimer()\\r\\n self.SetToolTipString(packing_hit_item.short_help)\\r\\n else:\\r\\n self.SetToolTipString(\\\"\\\")\\r\\n self.StopPreviewTimer()\\r\\n \\r\\n else:\\r\\n \\r\\n self.SetToolTipString(\\\"\\\")\\r\\n self._tip_item = None\\r\\n self.StopPreviewTimer()\\r\\n \\r\\n # if we've pressed down an item and we're hovering\\r\\n # over it, make sure it's state is set to pressed\\r\\n if self._action_item:\\r\\n \\r\\n if self._action_item == hit_item:\\r\\n self.SetPressedItem(self._action_item)\\r\\n else:\\r\\n self.SetPressedItem(None)\\r\\n \\r\\n # figure out the dropdown button state (are we hovering or pressing it?)\\r\\n self.RefreshOverflowState()\",\n \"def panelDropLoad( dragControl, dropControl, messages, x, y, dragType ):\\n # Get name of the asset that was dragged\\n loadedObject = cmds.iconTextCheckBox(dragControl, query=True, label=True)\\n # Get mode from standin or assembly\\n selectedRadio = cmds.radioCollection(loadMethodRadio, query=True, select=True)\\n # Instantiate AssetIcon\\n asset = AssetIcon(loadedObject)\\n \\n loadedAssetNode = None\\n\\n # Load asset using correct function\\n if \\\"standin\\\" in selectedRadio:\\n loadedAssetNode = asset.loadArnoldAsset()\\n else: \\n loadedAssetNode = asset.loadAsset()\\n \\n # Get a position in the world using the mouse pointer as reference\\n loadedLocation = cmds.autoPlace(useMouse=True)\\n # Move the asset to that position\\n cmds.move(loadedLocation[0], loadedLocation[1], loadedLocation[2], loadedAssetNode, absolute=True)\",\n \"def is_droppable ( self, object, row, value ):\\n return self.droppable\",\n \"def execute_drop(item_id):\\r\\n if (item_id in inventory):\\r\\n current_room[\\\"items\\\"][item_id] = inventory[item_id]\\r\\n del inventory[item_id]\\r\\n wrap_print(\\\"You dropped \\\" + items[item_id][\\\"name\\\"] + \\\".\\\")\\r\\n global valid_move\\r\\n valid_move = True\\r\\n else:\\r\\n wrap_print(\\\"You cannot drop that.\\\")\",\n \"def dropObject(player):\\n for treasure in Treasure.List:\\n if player.treasureCaptured:\\n player.treasureCaptured = False\\n treasure.x = player.x\\n treasure.y = player.y\\n treasure.img = pygame.image.load(Treasure.treasure_img[0])\",\n \"def on_moved(self, event):\\n print(\\\"Moved\\\")\\n time.sleep(5)\\n self.moveFile(event.dest_path)\",\n \"def OnLeftUp(self, event): # ANDY PAN\\n if event.ShiftDown():\\n event.Skip()\\n return\\n self.last_drag_x = self.last_drag_y = None\\n self.SetCursor(wx.Cursor(wx.CURSOR_DEFAULT))\\n # turn off drag\\n self.was_dragging = False\\n # force PAINT event to remove selection box (if required)\\n # self.Update()\\n event.Skip()\",\n \"def quantity_dropped(self, quantity_dropped):\\n\\n self._quantity_dropped = quantity_dropped\",\n \"def drag_and_drop_by_offset(self, elem, x, y):\\n ActionChains(self.driver).drag_and_drop_by_offset(elem, xoffset=x, yoffset=y).perform()\",\n \"def OnTokenButtonPress(self, event):\\n\\n # Unbind main GUI buttons\\n self.myMainGUI.unbindButtons()\\n\\n # Store drag data\\n self._drag_data = {\\\"x\\\": event.x, \\\"item\\\": self.canvas_SG[0].find_closest(self.canvas_SG[0].canvasx(event.x),\\n self.canvas_SG[0].canvasy(event.y))[0]}\",\n \"def drag(self, source_index, target_index):\\r\\n draggables = self.q(css='.drag-handle')\\r\\n source = draggables[source_index]\\r\\n target = draggables[target_index]\\r\\n action = ActionChains(self.browser)\\r\\n # When dragging before the target element, must take into account that the placeholder\\r\\n # will appear in the place where the target used to be.\\r\\n placeholder_height = 40\\r\\n action.click_and_hold(source).move_to_element_with_offset(\\r\\n target, 0, placeholder_height\\r\\n ).release().perform()\\r\\n wait_for_notification(self)\",\n \"def _onmove(self, event):\",\n \"def DoDropRow(self, panes, target, dock_direction, dock_layer, dock_row):\\r\\n \\r\\n drop = self.CopyTarget(target)\\r\\n panes = DoInsertDockRow(panes, dock_direction, dock_layer, dock_row)\\r\\n\\r\\n drop.Dock().Direction(dock_direction).Layer(dock_layer).Row(dock_row).Position(0)\\r\\n return self.ProcessDockResult(target, drop)\",\n \"def _drag_col(self, event):\\n x = self._dx + event.x # get dragged column new left x coordinate\\n self._visual_drag.place_configure(x=x) # update column preview position\\n # if one border of the dragged column is beyon the middle of the\\n # neighboring column, swap them\\n if (self._dragged_col_neighbor_widths[0] is not None and\\n x < self._dragged_col_x - self._dragged_col_neighbor_widths[0] / 2):\\n self._swap_columns('left')\\n elif (self._dragged_col_neighbor_widths[1] is not None and\\n x > self._dragged_col_x + self._dragged_col_neighbor_widths[1] / 2):\\n self._swap_columns('right')\\n # horizontal scrolling if the cursor reaches the side of the table\\n if x < 0 and self.xview()[0] > 0:\\n # scroll left and update dragged column x coordinate\\n self.xview_scroll(-10, 'units')\\n self._dragged_col_x += 10\\n elif x + self._dragged_col_width / 2 > self.winfo_width() and self.xview()[1] < 1:\\n # scroll right and update dragged column x coordinate\\n self.xview_scroll(10, 'units')\\n self._dragged_col_x -= 10\",\n \"def acceptDrops(self) -> bool:\\n ...\",\n \"def touch_moved(self, touch):\\n\\t\\tpass\",\n \"def onLeftUp(self, event):\\n\\n self.last_drag_x = self.last_drag_y = None\\n\\n if self.ignore_next_up:\\n self.ignore_next_up = False\\n return\\n\\n self.SetCursor(wx.StockCursor(wx.CURSOR_DEFAULT))\\n\\n # we need a repaint to remove any selection box, but NOT YET!\\n delayed_paint = self.sbox_1_x\\n\\n # if any layers interested, inform of possible select\\n if not self.was_dragging:\\n if self.is_box_select:\\n self.is_box_select = False\\n\\n # box selection\\n (lon_1, lat_1) = self.convertView2Geo(self.sbox_1_x,\\n self.sbox_1_y)\\n (lon_2, lat_2) = self.convertView2Geo(self.sbox_1_x+self.sbox_w,\\n self.sbox_1_y+self.sbox_h)\\n\\n # check each layer for a box select callback\\n copy_layers = copy.copy(self.layer_z_order)\\n handled_layers = []\\n for id in copy_layers:\\n # if layer still exists and not already handled\\n if id in self.layer_mapping and id not in handled_layers:\\n l = self.layer_mapping[id]\\n if l.visible and l.callback_box_select:\\n # get all points selected (if any)\\n points = self.getBoxSelectPoints(l.data,\\n (lon_1,lat_1),\\n (lon_2,lat_2))\\n if points:\\n # pass points to callback\\n handled_layers.append(id)\\n if l.callback_box_select(id, points):\\n delayed_paint = True\\n else:\\n # possible point selection\\n (cx, cy) = event.GetPositionTuple()\\n clickpt = self.convertView2Geo(cx, cy)\\n # check each layer for a point select callback\\n copy_layers = copy.copy(self.layer_z_order)\\n handled_layers = []\\n for id in copy_layers:\\n # if layer still exists and not already handled\\n if id in self.layer_mapping and id not in handled_layers:\\n l = self.layer_mapping[id]\\n if l.visible and l.callback_point_select:\\n pt = self.getNearestPointInLayer(l.data,\\n l.delta, clickpt)\\n if pt:\\n handled_layers.append(id)\\n if l.callback_point_select(id, pt):\\n delayed_paint = True\\n\\n # turn off drag\\n self.was_dragging = False\\n\\n # turn off box selection mechanism\\n self.is_box_select = False\\n self.sbox_1_x = self.sbox_1_y = None\\n\\n # force PAINT event to remove selection box (if required)\\n if delayed_paint:\\n self.Refresh()\",\n \"def __init__(self):\\n \\n __gsignals__ = { 'expose-event' : 'override'}\\n\\n self.filename = \\\"\\\"\\n self.source_id = 0\\n self.dy = 0\\n\\n # Create a top level window\\n self.window = gtk.Window()\\n \\n #Get y position of mouse at start of drag \\n self.mouse_click_point = 0\\n \\n #Create a TextArea class instance\\n self.drawing = TextArea()\\n\\n self.drawing.show()\\n \\n self.window.connect('drag-begin', self.start_refresh)\\n self.window.connect('drag-motion', self.drag_motion)\\n self.window.connect('drag-end', self.stop_drag_motion)\\n \\n self.window.drag_source_set(gtk.gdk.BUTTON1_MASK,\\n [(\\\"\\\", gtk.TARGET_SAME_APP, 1)],\\n gtk.gdk.ACTION_PRIVATE)\\n\\n self.window.drag_dest_set(gtk.DEST_DEFAULT_MOTION,\\n [(\\\"\\\", gtk.TARGET_SAME_APP, 1)],\\n gtk.gdk.ACTION_PRIVATE)\\n \\n self.window.connect('destroy', lambda w: gtk.main_quit())\\n \\n\\n self.window.set_default_size(600,900)\\n self.window.move(300,100)\\n\\n #Create a TextArea class instance\\n self.drawing = TextArea()\\n self.drawing.show()\\n \\n \\n vbox = gtk.VBox()\\n self.window.add(vbox)\\n\\n #Create a UIManager instance\\n uimanager = gtk.UIManager()\\n self.current_scale = 16\\n\\n #Add the accelerator group to the toplevel window\\n accelgroup = uimanager.get_accel_group()\\n self.window.add_accel_group(accelgroup)\\n\\n #Create an ActionGroup\\n actiongroup = gtk.ActionGroup('PyViewer')\\n self.actiongroup = actiongroup\\n \\n #Create actions\\n actiongroup.add_actions([('Open', gtk.STOCK_OPEN, '_Open', None, None, self.open_file),\\n ('Quit', gtk.STOCK_QUIT, '_Quit', None, None, self.quit_viewer),\\n ('File', None, '_File')])\\n \\n #Add the actiongroup to the uimanager\\n uimanager.insert_action_group(actiongroup, 0)\\n\\n #Add a UI description\\n uimanager.add_ui_from_string(self.ui)\\n\\n #Create a MenuBar\\n menubar = uimanager.get_widget('/MenuBar')\\n \\n #Pack the menubar and the drawing area into a vbox\\n vbox.pack_start(menubar, False)\\n vbox.pack_start(self.drawing) \\n\\n self.window.show_all()\\n\\n return\",\n \"def _on_press(self, event):\\n if tk.DISABLED in self.state():\\n return\\n\\n region = self.identify_region(event.x, event.y)\\n\\n if self._drag_cols and region == 'heading':\\n self._start_drag_col(event)\\n elif self._drag_rows and region == 'cell':\\n self._start_drag_row(event)\",\n \"def _on_mouse(self, event):\\n x, y = event.GetPosition()\\n if self._drag_mode == DepthCanvas.SASH_DRAG_NONE: \\n self._canvas_hit_test(x, y) \\n if event.LeftDown():\\n self.start_dragging(y)\\n elif self._drag_mode == DepthCanvas.SASH_DRAG_DRAGGING:\\n if event.LeftIsDown():\\n self.drag_it(y) \\n elif event.LeftUp():\\n self.end_dragging()\\n event.Skip()\",\n \"def detach(self, *items):\\n self._visual_drag.detach(*items)\\n ttk.Treeview.detach(self, *items)\",\n \"def btn_upload_callback(self):\\n # Create File Select Dialog\\n dialog = QFileDialog(parent=self, caption='Images')\\n dialog.setMimeTypeFilters(\\n [\\\"image/jpeg\\\", \\\"image/png\\\", \\\"image/tiff\\\", 'application/zip'])\\n dialog.setFileMode(QFileDialog.ExistingFile)\\n\\n if dialog.exec_() == QDialog.Accepted:\\n\\n filename = dialog.selectedFiles()[0]\\n\\n with open(filename, 'rb') as f:\\n file_b64s = fio_to_b64s(f)\\n\\n if ext_from_path(filename) == '.zip':\\n ret = api.upload_zip(\\n file_b64s,\\n nameext_from_path(filename),\\n self.user_hash\\n )\\n else:\\n ret = api.upload_image(\\n file_b64s,\\n nameext_from_path(filename),\\n self.user_hash\\n )\\n if ret.get('success') is False:\\n self.show_error(ret['error_msg'])\\n self.update_table()\",\n \"def _update_droppings(self):\\n\\t\\t# Update dropping positions.\\n\\t\\tself.droppings.update()\\n\\n\\t\\t# Get rid of the droppings that have disappeared.\\n\\t\\tfor dropping in self.droppings.copy():\\n\\t\\t\\tif dropping.rect.top >= 1050:\\n\\t\\t\\t\\tself.droppings.remove(dropping)\\n\\n\\t\\tself._check_dropping_auto_collisions()\",\n \"def OnLeftUp(self, event):\\r\\n\\r\\n if self._action == actionResize:\\r\\n## self._frame.Freeze()\\r\\n self.OnLeftUp_Resize(event)\\r\\n## self._frame.Thaw()\\r\\n \\r\\n elif self._action == actionClickButton:\\r\\n self.OnLeftUp_ClickButton(event)\\r\\n \\r\\n elif self._action == actionDragFloatingPane:\\r\\n self.OnLeftUp_DragFloatingPane(event)\\r\\n \\r\\n elif self._action == actionDragToolbarPane:\\r\\n self.OnLeftUp_DragToolbarPane(event)\\r\\n \\r\\n else:\\r\\n event.Skip() \\r\\n\\r\\n if self._frame.HasCapture():\\r\\n self._frame.ReleaseMouse()\\r\\n \\r\\n self._action = actionNone\",\n \"def callback(self, event):\\n # IN_CLOSE_WRITE -> 0x00000008\\n if event.mask == 0x00000008:\\n if event.name.endswith('.json'):\\n print_success(\\\"Ldapdomaindump file found\\\")\\n if event.name in ['domain_groups.json', 'domain_users.json']:\\n if event.name == 'domain_groups.json':\\n self.domain_groups_file = event.pathname\\n if event.name == 'domain_users.json':\\n self.domain_users_file = event.pathname\\n if self.domain_groups_file and self.domain_users_file:\\n print_success(\\\"Importing users\\\")\\n subprocess.Popen(['jk-import-domaindump', self.domain_groups_file, self.domain_users_file])\\n elif event.name == 'domain_computers.json':\\n print_success(\\\"Importing computers\\\")\\n subprocess.Popen(['jk-import-domaindump', event.pathname])\\n\\n # Ldap has been dumped, so remove the ldap targets.\\n self.ldap_strings = []\\n self.write_targets()\\n\\n if event.name.endswith('_samhashes.sam'):\\n host = event.name.replace('_samhashes.sam', '')\\n # TODO import file.\\n print_success(\\\"Secretsdump file, host ip: {}\\\".format(host))\\n subprocess.Popen(['jk-import-secretsdump', event.pathname])\\n\\n # Remove this system from this ip list.\\n self.ips.remove(host)\\n self.write_targets()\",\n \"def help_drop(self):\\n print(DROP)\",\n \"def dropped(self, dropped):\\n if self.local_vars_configuration.client_side_validation and dropped is None: # noqa: E501\\n raise ValueError(\\\"Invalid value for `dropped`, must not be `None`\\\") # noqa: E501\\n\\n self._dropped = dropped\",\n \"def getTransferData(self, f: java.awt.datatransfer.DataFlavor) -> object:\\n ...\",\n \"def drag(self, event):\\n self.yview('scroll', self.ypos - event.y, 'units')\\n self.xview('scroll', self.xpos - event.x, 'units')\\n self.ypos = event.y\\n self.xpos = event.x\",\n \"def OnMouse(self, event):\\n if not event.Dragging():\\n self._dragPos = None\\n if self.HasCapture():\\n self.ReleaseMouse()\\n return\\n else:\\n if not self.HasCapture():\\n self.CaptureMouse()\\n\\n if not self._dragPos:\\n self._dragPos = event.GetPosition()\\n else:\\n pos = event.GetPosition()\\n displacement = self._dragPos - pos\\n self.SetPosition(self.GetPosition() - displacement)\",\n \"def DoDropNonFloatingPane(self, docks, panes, target, pt):\\r\\n \\r\\n screenPt = self._frame.ClientToScreen(pt)\\r\\n clientSize = self._frame.GetClientSize()\\r\\n frameRect = GetInternalFrameRect(self._frame, self._docks)\\r\\n\\r\\n drop = self.CopyTarget(target)\\r\\n\\r\\n # The result should always be shown\\r\\n drop.Show()\\r\\n\\r\\n part = self.HitTest(pt.x, pt.y)\\r\\n\\r\\n if not part:\\r\\n return False, target\\r\\n\\r\\n if part.type == AuiDockUIPart.typeDockSizer:\\r\\n \\r\\n if len(part.dock.panes) != 1:\\r\\n return False, target\\r\\n \\r\\n part = self.GetPanePart(part.dock.panes[0].window)\\r\\n if not part:\\r\\n return False, target\\r\\n \\r\\n if not part.pane:\\r\\n return False, target\\r\\n\\r\\n part = self.GetPanePart(part.pane.window)\\r\\n if not part:\\r\\n return False, target\\r\\n\\r\\n insert_dock_row = False\\r\\n insert_row = part.pane.dock_row\\r\\n insert_dir = part.pane.dock_direction\\r\\n insert_layer = part.pane.dock_layer\\r\\n\\r\\n direction = part.pane.dock_direction\\r\\n \\r\\n if direction == AUI_DOCK_TOP:\\r\\n if pt.y >= part.rect.y and pt.y < part.rect.y+auiInsertRowPixels:\\r\\n insert_dock_row = True\\r\\n\\r\\n elif direction == AUI_DOCK_BOTTOM:\\r\\n if pt.y > part.rect.y+part.rect.height-auiInsertRowPixels and \\\\\\r\\n pt.y <= part.rect.y + part.rect.height:\\r\\n insert_dock_row = True\\r\\n\\r\\n elif direction == AUI_DOCK_LEFT:\\r\\n if pt.x >= part.rect.x and pt.x < part.rect.x+auiInsertRowPixels:\\r\\n insert_dock_row = True\\r\\n\\r\\n elif direction == AUI_DOCK_RIGHT:\\r\\n if pt.x > part.rect.x+part.rect.width-auiInsertRowPixels and \\\\\\r\\n pt.x <= part.rect.x+part.rect.width:\\r\\n insert_dock_row = True\\r\\n\\r\\n elif direction == AUI_DOCK_CENTER:\\r\\n \\r\\n # \\\"new row pixels\\\" will be set to the default, but\\r\\n # must never exceed 20% of the window size\\r\\n new_row_pixels_x = auiNewRowPixels\\r\\n new_row_pixels_y = auiNewRowPixels\\r\\n\\r\\n if new_row_pixels_x > (part.rect.width*20)/100:\\r\\n new_row_pixels_x = (part.rect.width*20)/100\\r\\n\\r\\n if new_row_pixels_y > (part.rect.height*20)/100:\\r\\n new_row_pixels_y = (part.rect.height*20)/100\\r\\n\\r\\n # determine if the mouse pointer is in a location that\\r\\n # will cause a new row to be inserted. The hot spot positions\\r\\n # are along the borders of the center pane\\r\\n\\r\\n insert_layer = 0\\r\\n insert_dock_row = True\\r\\n pr = part.rect\\r\\n \\r\\n if pt.x >= pr.x and pt.x < pr.x + new_row_pixels_x:\\r\\n insert_dir = AUI_DOCK_LEFT\\r\\n elif pt.y >= pr.y and pt.y < pr.y + new_row_pixels_y:\\r\\n insert_dir = AUI_DOCK_TOP\\r\\n elif pt.x >= pr.x + pr.width - new_row_pixels_x and pt.x < pr.x + pr.width:\\r\\n insert_dir = AUI_DOCK_RIGHT\\r\\n elif pt.y >= pr.y+ pr.height - new_row_pixels_y and pt.y < pr.y + pr.height:\\r\\n insert_dir = AUI_DOCK_BOTTOM\\r\\n else:\\r\\n return False, target\\r\\n\\r\\n insert_row = GetMaxRow(panes, insert_dir, insert_layer) + 1\\r\\n \\r\\n if insert_dock_row:\\r\\n \\r\\n panes = DoInsertDockRow(panes, insert_dir, insert_layer, insert_row)\\r\\n drop.Dock().Direction(insert_dir).Layer(insert_layer). \\\\\\r\\n Row(insert_row).Position(0)\\r\\n \\r\\n return self.ProcessDockResult(target, drop)\\r\\n\\r\\n # determine the mouse offset and the pane size, both in the\\r\\n # direction of the dock itself, and perpendicular to the dock\\r\\n\\r\\n if part.orientation == wx.VERTICAL:\\r\\n \\r\\n offset = pt.y - part.rect.y\\r\\n size = part.rect.GetHeight()\\r\\n \\r\\n else:\\r\\n \\r\\n offset = pt.x - part.rect.x\\r\\n size = part.rect.GetWidth()\\r\\n \\r\\n drop_position = part.pane.dock_pos\\r\\n\\r\\n # if we are in the top/left part of the pane,\\r\\n # insert the pane before the pane being hovered over\\r\\n if offset <= size/2:\\r\\n \\r\\n drop_position = part.pane.dock_pos\\r\\n panes = DoInsertPane(panes,\\r\\n part.pane.dock_direction,\\r\\n part.pane.dock_layer,\\r\\n part.pane.dock_row,\\r\\n part.pane.dock_pos)\\r\\n\\r\\n # if we are in the bottom/right part of the pane,\\r\\n # insert the pane before the pane being hovered over\\r\\n if offset > size/2:\\r\\n \\r\\n drop_position = part.pane.dock_pos+1\\r\\n panes = DoInsertPane(panes,\\r\\n part.pane.dock_direction,\\r\\n part.pane.dock_layer,\\r\\n part.pane.dock_row,\\r\\n part.pane.dock_pos+1)\\r\\n \\r\\n\\r\\n drop.Dock(). \\\\\\r\\n Direction(part.dock.dock_direction). \\\\\\r\\n Layer(part.dock.dock_layer).Row(part.dock.dock_row). \\\\\\r\\n Position(drop_position)\\r\\n \\r\\n return self.ProcessDockResult(target, drop)\",\n \"def handle_event(self, event):\\n if event.key == BattleActions.SELECT.value:\\n prev_item = self.pokemon.held_item\\n self.pokemon.held_item = self.item\\n self.bag.subtract_item(self.item)\\n self.bag.add_item(prev_item)\\n self.is_dead = True\",\n \"def handle(self, event):\\n\\n if event == FL_PUSH:\\n if Fl.event_button1():\\n if self.gamewin.placing >= 0:\\n self.gamewin.place_boat()\\n \\n else:\\n self.gamewin.tile_clicked(self)\\n return 1\\n \\n if event == FL_DRAG:\\n return 0\\n \\n return super().handle(event)\",\n \"def on_moved(self, event):\\n super(myEventHandler,self).on_moved(event)\\n #moveto events from external folders have no src_path\\n source = event.src_path\\n dest = event.dest_path\\n if event.is_directory:\\n splitpath = split(source)\\n splitdest = split(dest)\\n if splitpath[1] == splitdest[1]:\\n try:\\n #where are we moving from\\n pass\\n #file = splitpath[1]\\n #pathtoonedir = self.onedir.getonedirrectory()\\n #oldpath = splitpath[0].replace(pathtoonedir ,\\\"\\\")\\n #calculate new path\\n #newpath = splitdest[0].replace(pathtoonedir ,\\\"\\\")\\n #if oldpath is \\\"\\\":\\n # oldpath = os.path.sep\\n #self.onedir.movefile(file,newpath,oldpath)\\n except OSError as e:\\n print \\\"Error copying file! \\\" + e\\n exit(1)\\n else:\\n #rename!!!!!!!!\\n oldname = source\\n newname = dest\\n pathtoonedir = self.onedir.getonedirrectory()\\n oldname = oldname.replace(pathtoonedir ,\\\"\\\")\\n newname = newname.replace(pathtoonedir ,\\\"\\\")\\n self.onedir.renamedirectory(oldname,newname)\\n else:\\n #if it comes from outside the folder structure\\n if source is None:\\n try:\\n #use os.path.split to get file name and path\\n splitpath = split(dest)\\n file = splitpath[1]\\n pathtoonedir = self.onedir.getonedirrectory()\\n relpath = splitpath[0].replace(pathtoonedir ,\\\"\\\")\\n self.onedir.sendfile(file, relpath)\\n except OSError as e:\\n print \\\"Error copying file! \\\" + e.strerror\\n exit(1)\\n except IOError as e:\\n print \\\"IOerror creating file \\\" + e.strerror\\n else:\\n #file was moved!\\n #check if name stays the same i.e. it's a move not a rename!\\n splitpath = split(source)\\n splitdest = split(dest)\\n if splitpath[1] == splitdest[1]:\\n try:\\n #where are we moving from\\n file = splitpath[1]\\n pathtoonedir = self.onedir.getonedirrectory()\\n oldpath = splitpath[0].replace(pathtoonedir ,\\\"\\\")\\n #calculate new path\\n newpath = splitdest[0].replace(pathtoonedir ,\\\"\\\")\\n if oldpath is \\\"\\\":\\n oldpath = os.path.sep\\n self.onedir.movefile(file,newpath,oldpath)\\n except OSError as e:\\n print \\\"Error copying file! \\\" + e\\n exit(1)\\n else:\\n #rename!!!!!!!!\\n file = splitpath[1]\\n newname = splitdest[1]\\n pathtoonedir = self.onedir.getonedirrectory()\\n path = splitpath[0].replace(pathtoonedir ,\\\"\\\")\\n if path is \\\"\\\":\\n path = os.path.sep\\n else:\\n path = path[1:]\\n self.onedir.rename(file,path,newname)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.72224736","0.7178574","0.7033632","0.69308865","0.69137365","0.68517953","0.66538286","0.660371","0.6481881","0.6399347","0.6314507","0.63019335","0.6220606","0.6072313","0.60482043","0.6036351","0.59223694","0.59200025","0.58687717","0.58277893","0.5734516","0.56892866","0.56366456","0.56327146","0.5616902","0.55873185","0.5570762","0.5556108","0.5525009","0.55130804","0.5495399","0.5482396","0.5450135","0.54215217","0.5369904","0.53605336","0.53423023","0.53269815","0.531934","0.53087324","0.5283762","0.5241791","0.52326345","0.5222645","0.52175194","0.5214214","0.51947457","0.51713085","0.51713085","0.5170968","0.51621383","0.5153949","0.51286787","0.5117842","0.51163244","0.51041967","0.5077833","0.5052566","0.5039383","0.50068283","0.4988413","0.49841556","0.49797967","0.49678066","0.49637955","0.48908144","0.48854396","0.4880978","0.4865574","0.48463678","0.48407745","0.4836152","0.48303056","0.4824467","0.4820127","0.48152485","0.48148572","0.48119757","0.48106006","0.48065785","0.4794525","0.47882456","0.4778417","0.477379","0.47688243","0.47669476","0.476431","0.4757513","0.47523054","0.47477016","0.47464442","0.47421065","0.47363034","0.47358024","0.4735249","0.47333997","0.4733353","0.47230282","0.47169688","0.4713779"],"string":"[\n \"0.72224736\",\n \"0.7178574\",\n \"0.7033632\",\n \"0.69308865\",\n \"0.69137365\",\n \"0.68517953\",\n \"0.66538286\",\n \"0.660371\",\n \"0.6481881\",\n \"0.6399347\",\n \"0.6314507\",\n \"0.63019335\",\n \"0.6220606\",\n \"0.6072313\",\n \"0.60482043\",\n \"0.6036351\",\n \"0.59223694\",\n \"0.59200025\",\n \"0.58687717\",\n \"0.58277893\",\n \"0.5734516\",\n \"0.56892866\",\n \"0.56366456\",\n \"0.56327146\",\n \"0.5616902\",\n \"0.55873185\",\n \"0.5570762\",\n \"0.5556108\",\n \"0.5525009\",\n \"0.55130804\",\n \"0.5495399\",\n \"0.5482396\",\n \"0.5450135\",\n \"0.54215217\",\n \"0.5369904\",\n \"0.53605336\",\n \"0.53423023\",\n \"0.53269815\",\n \"0.531934\",\n \"0.53087324\",\n \"0.5283762\",\n \"0.5241791\",\n \"0.52326345\",\n \"0.5222645\",\n \"0.52175194\",\n \"0.5214214\",\n \"0.51947457\",\n \"0.51713085\",\n \"0.51713085\",\n \"0.5170968\",\n \"0.51621383\",\n \"0.5153949\",\n \"0.51286787\",\n \"0.5117842\",\n \"0.51163244\",\n \"0.51041967\",\n \"0.5077833\",\n \"0.5052566\",\n \"0.5039383\",\n \"0.50068283\",\n \"0.4988413\",\n \"0.49841556\",\n \"0.49797967\",\n \"0.49678066\",\n \"0.49637955\",\n \"0.48908144\",\n \"0.48854396\",\n \"0.4880978\",\n \"0.4865574\",\n \"0.48463678\",\n \"0.48407745\",\n \"0.4836152\",\n \"0.48303056\",\n \"0.4824467\",\n \"0.4820127\",\n \"0.48152485\",\n \"0.48148572\",\n \"0.48119757\",\n \"0.48106006\",\n \"0.48065785\",\n \"0.4794525\",\n \"0.47882456\",\n \"0.4778417\",\n \"0.477379\",\n \"0.47688243\",\n \"0.47669476\",\n \"0.476431\",\n \"0.4757513\",\n \"0.47523054\",\n \"0.47477016\",\n \"0.47464442\",\n \"0.47421065\",\n \"0.47363034\",\n \"0.47358024\",\n \"0.4735249\",\n \"0.47333997\",\n \"0.4733353\",\n \"0.47230282\",\n \"0.47169688\",\n \"0.4713779\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.81672764"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":1495,"cells":{"query":{"kind":"string","value":"Update every cell in the grid. This is a single step in the evolution. Compute number in each state and number of state changes."},"document":{"kind":"string","value":"def update_grid(self, x):\r\n\r\n # Append boundary rows and columns to matrix\r\n x = self.append_boundary(x) # the boundary is recomputed at each step\r\n y = np.copy(x)\r\n\r\n # For each cell within boundary, compute state according to rules.\r\n chg_0_1 = 0 # the number of cells that changed from state 0 to state 1\r\n chg_1_0 = 0 # the number of cells that changes from state 1 to state 0\r\n chg_none = 0 # the number of cells that did not change\r\n index = np.arange(1, x.shape[0] - 1)\r\n for i in index:\r\n for j in index:\r\n neighborhood = x[i - 1:i + 2:1, j - 1:j + 2:1] # 3x3 sub matrix centered at i, j\r\n y[i, j] = self.update_cell(neighborhood)\r\n change = int(y[i, j] - x[i, j])\r\n if change == -1:\r\n chg_1_0 += 1\r\n if change == 0:\r\n chg_none += 1\r\n if change == 1:\r\n chg_0_1 += 1\r\n\r\n # Compute statistics excluding boundary\r\n total = np.power(x[1:-1:1, 1:-1:1].shape[0] - 1, 2)\r\n start_1 = np.sum(x[1:-1:1, 1:-1:1])\r\n end_1 = np.sum(y[1:-1:1, 1:-1:1])\r\n stats = [total, start_1, end_1, chg_1_0, chg_none, chg_0_1]\r\n\r\n return y[1:-1:1, 1:-1:1], stats # remove the boundary\r"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _update_cells(self):\n for row_number in range(self.number_cells_y):\n for col_number in range(self.number_cells_x):\n if self.to_be_updated[row_number][col_number]:\n self.cells[row_number][col_number].update()","def update_cells(self, state):\n width = WIDTH / CELL_SIZE\n height = HEIGHT / CELL_SIZE\n\n for index in range(0, width * height):\n if state[index] != self.get_state(index):\n self.toggle_color(index)","def update_state(self):\n self.reset_state()\n for piece in self.pieces:\n coordinates = piece.get_block_positions()\n for coor in coordinates:\n x, y = coor\n self.state[y][x] = piece","def run(self):\n\t\tfrom loc import loc as Loc\n\t\tfor r in range(1,self.size):\n\t\t\tfor c in range(self.size): \n\t\t\t\tthis = Loc(r,c)\n\t\t\t\tself.state.set_cell(this, self.rule(self.neighbor_vals(this), self.__prob))\n\t\tself.__ran = True","def run_iterations(self, n, verbose = False):\n for i in range(n):\n # Calculate total number of neighbors for each cell\n all_neighbors = self.get_all_neighbors()\n all_num_neighbors = np.sum(all_neighbors, axis = (-2,-1)) - self.board\n # Determine new state for each cell using lookup table and number of neighbors\n self.board[:] = np.where(self.board, \n self.lookup[1][all_num_neighbors], \n self.lookup[0][all_num_neighbors])\n # Verbosity check\n if verbose:\n print(self.board)","def update_positions(self, grid):\r\n self.grid = grid","def update_E(self):\n self.grid.E[self.loc] += (\n self.grid.courant_number\n * self.grid.inverse_permittivity[self.loc]\n * self.phi_E\n )","def increment(grid):\n height = len(grid)\n width = len(grid[0])\n for r in range(height):\n for c in range(width):\n grid[r][c] += 1\n if grid[r][c] == 10:\n grid [r][c] = 0","def update(self):\n self.grid.update()\n sleep(self.update_rate)","def _check_cells(self):\n for row_number in range(self.number_cells_y):\n for col_number in range(self.number_cells_x):\n alive_neighbours = self._get_neighbours(row_number,col_number)\n \n self.to_be_updated[row_number][col_number] = False\n if self.cells[row_number][col_number].get_status():\n if alive_neighbours < 2:\n self.to_be_updated[row_number][col_number] = True\n elif alive_neighbours > 3:\n self.to_be_updated[row_number][col_number] = True\n else:\n if alive_neighbours == 3:\n self.to_be_updated[row_number][col_number] = True","def update_grid(comp, grid):\n while not comp.waiting and not comp.halt_status:\n time.sleep(0.001)\n\n while not comp.output.empty():\n # Get 3 results\n x = comp.output.get()\n y = comp.output.get()\n b = comp.output.get()\n\n if x == -1 and y == 0:\n print(f\"Score = {b}\")\n\n grid[x][y] = b","def update(self):\n changes = {}\n for coord in INDICES: # the need for two for loops is necessary\n if self.chart[coord] == ALIVE and (\n self.number_of_neighbors(coord) < 2 or self.number_of_neighbors(coord) > 3):\n changes[coord] = KILL\n elif self.number_of_neighbors(coord) == 3:\n changes[coord] = REVIVE\n for coord in changes.keys(): # because the evolution is discrete\n if changes[coord] == KILL:\n self.kill(coord)\n elif changes[coord] == REVIVE:\n self.givebirth(coord)","def life_step(state):\n\t# For every cell each live cell in any of the 8 neighbouring cells contributes 1 to the sum\n\t# Rolling matricies is periodic so this implements periodic boundary conditions\n\tnumberOfNeigbours = sum(np.roll(np.roll(state, i, axis=0), j, axis=1)\n\t\t\t\t\t\t for i in (-1,0,1) for j in (-1,0,1) if (i != 0 or j != 0))\n\n\t# Any live cell with fewer than two live neighbours dies, as if caused by under-population\n\tstate = np.where(numberOfNeigbours < 2, 0, state)\n\t# Any live cell with more than three live neighbours dies, as if by over-population\n\tstate = np.where(numberOfNeigbours > 3, 0, state)\n\t# Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction.\n\tstate = np.where(numberOfNeigbours == 3, 1, state)\n\n\treturn state","def update_E(self):\n self.grid.E[0, :, :, :] = self.grid.E[-1, :, :, :]","def play_round_Fredkin_Cell(self):\n for x in self.board:\n for f in x:\n f.live_neighbors = 0\n\n for i in range(1, self.cols - 1):\n for j in range(1, self.rows - 1):\n status = self.board[i][j].status\n assert type(status)==int \n for m in range(i-1 , i +2):\n self.board[m][j].live_neighbors += status\n for n in range(j-1 , j +2):\n self.board[i][n].live_neighbors += status\n\n self.board[i][j].live_neighbors -= status","def step(self):\n\t\tnewBoard = CellArray(self.size)\n\t\tfor i in range(0, self.size, 1):\n\t\t\tfor j in range(0, self.size, 1):\n\t\t\t\tnewBoard.board[i][j] = self.changeCell(i, j)\n\t\tself.board = newBoard.board","def __iterate(self):\n\t\tnext_board = []\n\n\t\tfor y, row in enumerate(self.__board):\n\t\t\tnext_board.append([])\n\n\t\t\tfor x, cell in enumerate(row):\n\t\t\t\tneighbors = [\n\t\t\t\t\tself.__get_cell_state(y - 1, x - 1),\n\t\t\t\t\tself.__get_cell_state(y - 1, x),\n\t\t\t\t\tself.__get_cell_state(y - 1, x + 1),\n\t\t\t\t\tself.__get_cell_state(y, x - 1),\n\t\t\t\t\tself.__get_cell_state(y, x + 1),\n\t\t\t\t\tself.__get_cell_state(y + 1, x - 1),\n\t\t\t\t\tself.__get_cell_state(y + 1, x),\n\t\t\t\t\tself.__get_cell_state(y + 1, x + 1)\n\t\t\t\t]\n\t\t\t\tnum_neighbors = sum(neighbors)\n\t\t\t\tstate = get_new_state(cell, num_neighbors)\n\t\t\t\tnext_board[y].append(state)\n\n\t\tself.__board = next_board\n\t\tself.__display(self.__board)","def play_round_Conway_Cell(self):\n for x in self.board:\n for f in x:\n f.live_neighbors = 0\n\n for i in range(1, self.cols - 1):\n for j in range(1, self.rows - 1):\n status = self.board[i][j].status\n assert type(status)==int \n\n for m in range(i - 1, i + 2):\n for n in range(j - 1, j + 2):\n self.board[m][n].live_neighbors += status\n self.board[i][j].live_neighbors -= status","def _updateTransitionMatrix(self):\n N = self.N\n K = self.K\n T= self.T\n\n for i in range(1,self.K+1):\n den = 0\n for t in range(1,self.T):\n for n in range(1,N+1):\n den = den + self.posterior_state_trellis[n][(t,i)]\n \n for j in range(1,self.K+1): \n # For some state i,j\n s = 0\n for n in range(1,N+1): \n for t in range(1,self.T): \n cur_prob = self.posterior_transition_trellis[n][(t,t+1,j,i)]\n s = s+cur_prob\n\n # Compute total \n self.state_transition_mat[(j,i)] = (s/den)","def updateCells(cell_positions):\n # Build a set of canditates for live cells at the next generation, instead of looking through the whole grid\n # These will be dead neighbours of living cells\n possible_future_cells = set()\n # Make sets of cells to add and remove at the end of the check\n cells_remove = set()\n cells_add = set()\n for cell in cell_positions:\n # Get adjacent squares\n neighbours_dict = cellNeighbours(cell)\n number_live_neighbours = 0\n # Check which of these corresponds to another living cell\n for square in neighbours_dict.values():\n if square in cell_positions:\n number_live_neighbours+=1\n else:\n possible_future_cells.add(square)\n\n # Any live cell with fewer than two live neighbours dies, as if caused by under-population\n if number_live_neighbours<2:\n cells_remove.add(cell)\n # Any live cell with two or three live neighbours lives on to the next generation\n # do nothing\n # Any live cell with more than three live neighbours dies, as if by overcrowding\n elif number_live_neighbours>3:\n cells_remove.add(cell)\n # Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction\n for cell_candidate in possible_future_cells:\n cell_candidate_neighbours = cellNeighbours(cell_candidate).values()\n # Count number of live neighbours\n count = 0\n for square in cell_candidate_neighbours:\n if square in cell_positions:\n count+=1\n if count == 3:\n cells_add.add(cell_candidate)\n # Update cell_positions by removing dead cells and adding new-born cells\n for cell in cells_add:\n cell_positions.add(cell)\n for cell in cells_remove:\n cell_positions.remove(cell)\n # Return the update live cell list\n return cell_positions","def update(self, iteration):\n pass","def update_board(self):\n for x in self.board:\n for f in x:\n if f.status == 0:\n if f.name == \"conway\":\n assert type(self.population)==int\n if f.live_neighbors == 3:\n f.symbol =\"*\"\n f.status = 1\n self.population += 1\n elif f.name == \"fredkin\":\n if f.live_neighbors == 1 or f.live_neighbors == 3 :\n f.status = 1\n f.symbol = str(f.age)\n self.population += 1\n else:\n f.status = 0\n\n elif f.status == 1:\n if f.name == \"conway\":\n assert type(self.population)==int\n #assert type(f.status)== 1\n if not((f.live_neighbors == 2 or f.live_neighbors == 3)):\n f.symbol = \".\"\n f.status = 0\n else:\n self.population += 1\n elif f.name == \"fredkin\":\n if f.live_neighbors == 1 or f.live_neighbors == 3:\n f.status = 1\n f.age += 1\n if f.age <= 2:\n f.symbol = str(f.age)\n self.population += 1\n else:\n self.board.replace(f, Conway_Cell(\"*\"))\n else:\n f.status = 0\n f.symbol = \"-\"","def _compute_world_params(self) -> None:\n\n self.states = []\n for row in range(self.grid_height):\n for col in range(self.grid_width):\n cell = row * self.grid_width + col\n cell_type = self.grid[cell]\n\n possible_actions = {\n Action.up: self._get_action(max(row - 1, 0) * self.grid_width + col),\n Action.down: self._get_action(min(row + 1, self.grid_height - 1) * self.grid_width + col),\n Action.right: self._get_action(row * self.grid_width + min(col + 1, self.grid_width - 1)),\n Action.left: self._get_action(row * self.grid_width + max(col - 1, 0))\n }\n\n self.states.append(State(cell, possible_actions, cell_type))","def calculate_next_board_state(self):\n new_board_state = np.zeros_like(self.board_state)\n\n for x in range(self.board_size[0]):\n for y in range(self.board_size[0]):\n new_board_state[x][y] = self.next_state_of_cell(x,y)\n \n self.set_state(new_board_state)","def update_grid(self, player: str, letter: str) -> None:\n self.cells = [cell.update_cell(player, letter) for cell in self.cells]\n i = 0\n while i <= self.size:\n self.leylines[i].update_line(player, letter)\n self.rights[i].update_line(player, letter)\n self.lefts[i].update_line(player, letter)\n i += 1","def compute_updates(self, xs, gs, state=None):\n raise NotImplementedError()","def calc(self):\n np = 0\n for cell in self.cells:\n n = self.cell_np[cell]\n np += n\n self.dnp = np - self.np\n self.np = np","def cycle(self):\n\n coordinates = self.get_random_coordinates()\n\n for coord in coordinates:\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\n self.cells[coord].feeding()\n\n for coord in coordinates:\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\n self.cells[coord].procreation()\n\n self.migration()\n\n for coord in coordinates:\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\n self.cells[coord].aging()\n\n for coord in coordinates:\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\n self.cells[coord].loss_of_weight()\n\n for coord in coordinates:\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\n self.cells[coord].death()\n\n self.animals_on_island()","def updateBoard():\n #Drawing the initial board positions;\n for y in range(1, n+1): #1,2,3\n for x in range(1, n+1):\n val = positions[y][x];\n colorNode((x,y), numColors[val])\n label = Text(Point((x-0.5)*grid_side, (y-0.5)*grid_side),val);\n label.setSize(30)\n label.draw(win)","def change_cell(self):\n # TODO: assess whether this may partly moved into the base class\n\n x, mu = self.update_position_direction(self.l_edge)\n mu_mean = self.calculate_mean_mu(self.x, x, self.l_edge)\n self.update_estimators(self.l_edge, mu_mean)\n\n if self.next_cell_index == self.grid.Ncells:\n # packet escapes\n self.is_escaped = True\n self.is_active = False\n self.x = self.cell_xr\n\n elif self.next_cell_index == -1:\n # packets gets reflected\n\n self.x = self.cell_xl\n self.mu = -self.mu\n\n self.calculate_and_set_propagation_distances()\n\n else:\n # packet is transported into target cell\n if self.next_cell_index > self.cell_index:\n # packet is moved one cell to the right\n\n self.x = self.grid.xl[self.next_cell_index]\n\n else:\n # packet is moved one cell to the left\n\n self.x = self.grid.xr[self.next_cell_index]\n\n # reset cell-based properties for easy access\n self.cell_index = self.next_cell_index\n self.cell_chi = self.grid.chi[self.cell_index]\n self.cell_xl = self.grid.xl[self.cell_index]\n self.cell_xr = self.grid.xr[self.cell_index]\n self.cell_dx = self.grid.dx[self.cell_index]\n\n # recalculate distances\n self.calculate_and_set_propagation_distances()","def build_grains(self):\n\t\ttime = datetime.datetime.now()\n\t\tif self.probability == 0:\n\t\t\tfor cell in self.space.flat:\n\t\t\t\tif cell.state != 0 :\n\t\t\t\t\tcontinue\n\t\t\t\telif self.check_empty_neighbours(cell):\n\t\t\t\t\tcontinue\n\t\t\t\telse:\t\n\t\t\t\t\tneighbours = self.get_neighbours(cell)\n\t\t\t\t\tgrains = [0 for i in range(self.grains)]\n\t\t\t\t\tfor i in range(1,self.grains+1):\n\t\t\t\t\t\tfor neighbour in neighbours:\n\t\t\t\t\t\t\tif neighbour.state == i and neighbour.timestamp < time:\n\t\t\t\t\t\t\t\tgrains[i] = grains[i] + 1\n\t\t\t\t\tif grains == [0 for i in range(self.grains)]:\n\t\t\t\t\t\tcontinue\n\t\t\t\t\tnew_grain = 0\n\t\t\t\t\tfor i in range(self.grains):\n\t\t\t\t\t\tif grains[i] >= new_grain:\n\t\t\t\t\t\t\tnew_grain = i\n\t\t\t\t\tcell.change_state(time, new_grain)\n\t\t\t\t\tself.empty_cells = self.empty_cells - 1\n\t\telse:\n\t\t\tfor cell in self.space.flat:\n\t\t\t\tif cell.state != 0 :\n\t\t\t\t\tcontinue\n\t\t\t\telif self.check_empty_neighbours(cell):\n\t\t\t\t\tcontinue\n\t\t\t\telse:\n\t\t\t\t\tneighbours = self.get_neighbours(cell)\n\t\t\t\t\tif self.decide_changing(cell,neighbours,5, time):\n\t\t\t\t\t\tneighbours = self.get_nearest_neighbours(cell)\n\t\t\t\t\t\tif self.decide_changing(cell,neighbours,3, time):\n\t\t\t\t\t\t\tneighbours = self.get_further_neighbours(cell)\n\t\t\t\t\t\t\tif self.decide_changing(cell,neighbours,3, time):\n\t\t\t\t\t\t\t\tneighbours = self.get_neighbours(cell)\n\t\t\t\t\t\t\t\tgrains = [0 for i in range(self.grains)]\n\t\t\t\t\t\t\t\tfor i in range(1,self.grains+1):\n\t\t\t\t\t\t\t\t\tfor neighbour in neighbours:\n\t\t\t\t\t\t\t\t\t\tif neighbour.state == i and neighbour.timestamp < time:\n\t\t\t\t\t\t\t\t\t\t\tgrains[i] = grains[i] + 1\n\t\t\t\t\t\t\t\tif grains == [0 for i in range(self.grains)]:\n\t\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t\tnew_grain = 0\n\t\t\t\t\t\t\t\tfor i in range(self.grains):\n\t\t\t\t\t\t\t\t\tif grains[i] >= new_grain:\n\t\t\t\t\t\t\t\t\t\tnew_grain = i\n\t\t\t\t\t\t\t\trandom_number = random.random() * 100\n\t\t\t\t\t\t\t\tif random_number <= self.probability:\n\t\t\t\t\t\t\t\t\tcell.change_state(time, new_grain)\n\t\t\t\t\t\t\t\t\tself.empty_cells = self.empty_cells - 1\n\t\t\t\t\t\t\t\telse:\n\t\t\t\t\t\t\t\t\tcontinue","def next_generation(self):\n new_board = self.array.copy()\n for cell in self.cells:\n cell.update(new_board)\n \n if np.array_equal(self.prev_array, new_board):\n self.game.stable = True\n else:\n self.prev_array = self.array\n self.array = new_board","def current_update():\n # Compute the multiplier coefficient:\n ci = dt / (L * dx)\n for k in range(0, nx-1):\n I[k] = I[k] - (ci * (V[k + 1] - V[k]))","def state_generator(self):\n\n kernel = np.array([\n [1, 1, 1],\n [1, 0, 1],\n [1, 1, 1]])\n iteration = 0\n\n while True: # (Game of Life does not end)\n # Run 2D convolution with the given kernel to find out how many neighbors each cell has.\n # Boundary option determines whether to run with hard boundaries on the game board or\n # using a toroid board which wraps circularly. These are the two strategies for handling\n # a finite game board. scipy.signal.convolve2d handles these two modes gracefully, which\n # is why it is used here. There is also a performance gain when using numpy/scipy matrix\n # operations as opposed to iterating element-wise over the whole matrix.\n # See https://docs.scipy.org/doc/scipy-0.19.1/reference/generated/scipy.signal.convolve2d.html\n\n # There is a more sophisticated and efficient algorithm for determining next game state\n # (see http://dotat.at/prog/life/life.html) but for clarity and a lack of time, the standard\n # implementation was chosen.\n\n num_neighbors_board = convolve2d(self.board, kernel, mode='same', boundary=self.boundary.value)\n\n # Find empty cells that have three neighbors\n birth_coordinates = np.where(np.logical_and(self.board == 0, num_neighbors_board == 3))\n\n # Find live cells with too few or too many neighbors\n death_coordinates = np.where(\n np.logical_and(\n self.board == 1,\n np.logical_or(num_neighbors_board < 2, num_neighbors_board > 3)\n )\n )\n\n births = np.array(birth_coordinates).transpose().tolist()\n deaths = np.array(death_coordinates).transpose().tolist()\n self.board[birth_coordinates] = 1\n self.board[death_coordinates] = 0\n\n iteration += 1\n yield self.board, births, deaths, iteration","def _ignite_cells(self, istep, ip):\n particle = self.particles[ip] # get particle\n state, x, y = particle.get_from_keys([\"state\", \"x\", \"y\"])\n if state > STTHR:\n for i in range(self.grid.NX-1):\n if abs(x - self.grid.XCELL[i, 0]) < self.grid.DX/2:\n INDX = i\n for j in range(self.grid.NY-1):\n if abs(y - self.grid.YCELL[0, j]) < self.grid.DY/2:\n INDY = j\n cell = self.grid.CELLS[INDX, INDY]\n cell.BURNPROG += 1\n if (cell.QMAXTR > 0 or cell.QMAXBLD > 0) and cell.BURNSTAT == 0:\n cell.BURNSTAT = 1\n cell.CLOCK = self.TIME[istep]\n # elif cell.QMAXTR == 0 or cell.QMAXBLD == 0:\n # particle.update(state=0.0, factor=0.0)\n # if pType == 2:\n # particle.update(state=0.0)","def increment_time_step(self):\n for grid in self.get_grid_list():\n try:\n self[grid].increment_time_step()\n except AttributeError:\n pass","def update_grid(self):\n # Check to see if we have moved squares\n _new_grid = self.calc_grid()\n if _new_grid == self._grid:\n return\n # Remove from old square and add to new square\n self.target._grid[self._grid][self._type].discard(self)\n self.target._grid[_new_grid][self._type].add(self)\n # Update coordinates\n self._grid = _new_grid","def update_state(self, context: GANContext) -> None:\n updater = lambda value: lambda: self._metric.update_state(value)\n for real_xy, noise in context.dataset:\n real_x, real_y = real_xy\n\n g_inputs = noise\n if len(context.generator_model.inputs) == 2:\n g_inputs = [noise, real_y]\n\n fake = context.generator_model(\n g_inputs, training=context.log_eval_mode == LogEvalMode.TRAIN\n )\n\n # check the resolution is the same as the one passed as input\n resolution = real_x.shape[1]\n if resolution != self.resolution:\n raise ValueError(\n \"Image resolution is not the same as the input resolution.\"\n )\n\n scores = sliced_wasserstein_distance(\n real_x,\n fake,\n resolution_min=self.resolution_min,\n patches_per_image=self.patches_per_image,\n use_svd=self.use_svd,\n patch_size=self.patch_size,\n random_projection_dim=self.random_projection_dim,\n random_sampling_count=self.random_sampling_count,\n )\n\n fake_scores = []\n\n for i, couple in enumerate(scores):\n self.children_real_fake[i][0].update_state(context, couple[0])\n self.children_real_fake[i][1].update_state(context, couple[1])\n fake_scores.append(tf.expand_dims(couple[1], axis=0))\n\n fake_scores = tf.concat(fake_scores, axis=0)\n\n self._distribute_strategy.experimental_run_v2(updater(fake_scores))","def update(self,dt):\n self.rebuild_lists()\n self.step(self.gather_state,self.derivatives, \\\n self.gather_derivatives,self.scatter_state,dt)\n self.box.apply(self)\n self.steps += 1","def update_E(self):\n self.grid.E[:, 0, :, :] = self.grid.E[:, -1, :, :]","def update_pop_matrix(self):\n for row in self.unique_rows[1:-1]: # First and last cell is water\n for col in self.unique_cols[1:-1]: # First and last cell is water\n cell = self.landscape[(row, col)]\n if cell.is_mainland:\n # print(cell)\n self.herb_pop_matrix[row - 1][col - 1] = cell.herb_count\n self.carn_pop_matrix[row - 1][col - 1] = cell.carn_count","def update_neighbours(self, iteration, iterations, input_vector, bmu):\n\n t = iteration / iterations\n learning_rate = self.learning_rate(t)\n for node in self.codebook:\n influence = self.codebook.neighbourhood(node, bmu, t)\n node.update(learning_rate, influence, input_vector, bmu)","def update_E(self):\n self.grid.E[:, :, 0, :] = self.grid.E[:, :, -1, :]","def update_cnt_map(self,s):\r\n cnts = []\r\n num_grid = self.cnt_map.shape[0]*self.cnt_map.shape[1]\r\n old_coverage =num_grid- self.cnt_map.flatten().tolist().count(0)\r\n for sj in s:\r\n grid_s = self.get_gridState(sj)\r\n self.cnt_map[grid_s[0], grid_s[1]] += 1\r\n cnts.append(self.cnt_map[grid_s[0], grid_s[1]])\r\n\r\n self.map_coverage = num_grid - self.cnt_map.flatten().tolist().count(0)\r\n print(\"Coverage:\",self.map_coverage)\r\n print(\"Change of coverage:\",self.map_coverage-old_coverage)\r\n\r\n return cnts","def update(frame_num, mat, grid, N):\n\n new_grid = np.copy(grid)\n #print(\"grid size:\", grid.shape)\n for i in range(1, grid.shape[0]-1):\n for j in range(1, grid.shape[1]-1):\n neighbors = int(grid[i-1, j] + grid[i+1, j] + \\\n grid[i, j+1] + grid[i, j-1] + \\\n grid[i-1,j-1] + grid[i+1,j+1] + \\\n grid[i+1,j-1] + grid[i-1,j+1])\n if grid[i, j] == ON:\n if not (2 <= neighbors <= 3):\n new_grid[i, j] = OFF\n elif grid[i, j] == OFF and neighbors == 3:\n # Grow a cell\n new_grid[i, j] = ON\n else:\n new_grid[i, j] = OFF\n\n ### Update new grid\n mat.set_data(new_grid)\n grid[:] = new_grid[:] # Brackets are important\n return mat","def update_all(self,delta_t):\n self.update_thrust()\n self.update_climb_rate()\n self.update_height(delta_t)","def rnn_cell_loop(self):\n\n\t\t# Set up initial state\n\t\tself.h_out = [tf.zeros([par['batch_size'],par['n_hidden']])]\t\t\t# Spike\n\t\tself.h = tf.ones([par['batch_size'],par['n_hidden']])\t\t\t\t\t# State\n\t\tself.h *= 0.1 if par['cell_type'] == 'rate' else par[par['cell_type']]['V_r']\n\t\tself.h = [self.h]\n\t\tadapt = par['w_init']*tf.ones([par['batch_size'],par['n_hidden']])\n\n\t\tsyn_x = par['syn_x_init']*tf.ones([par['batch_size'], par['n_hidden']]) if par['use_stp'] else None\n\t\tsyn_u = par['syn_u_init']*tf.ones([par['batch_size'], par['n_hidden']]) if par['use_stp'] else None\n\n\t\t# Apply the EI mask to the recurrent weights\n\t\tself.W_rnn_effective = par['EI_matrix'] @ tf.nn.relu(self.var_dict['W_rnn'])\n\n\t\t# Set up latency buffer if being used\n\t\tif par['use_latency']:\n\t\t\tself.state_buffer = [tf.zeros([par['batch_size'], par['n_hidden']]) for t in range(par['latency_max'])]\n\t\t\tself.state_buffer = deque(self.state_buffer)\n\t\t\tself.W_rnn_latency = self.W_rnn_effective[tf.newaxis,...] * par['latency_mask']\n\t\t\tself.lat_spike_shape = tf.ones([par['latency_max'], 1, 1])\n\n\t\t# Set up output record\n\t\tself.output = []\n\t\tself.syn_x = []\n\t\tself.syn_u = []\n\n\t\ty = 0.\n\t\tfor t in range(par['num_time_steps']):\n\t\t\tself.t = t \t\t# For latency calculations\n\n\t\t\tif par['cell_type'] == 'rate':\n\t\t\t\traise Exception('Rate cell not yet implemented.')\n\t\t\telif par['cell_type'] == 'adex':\n\t\t\t\tif t < 10:\n\t\t\t\t\tspike, state, adapt, syn_x, syn_u = self.AdEx_cell(tf.zeros_like(self.h_out[-1]), self.h[-1], \\\n\t\t\t\t\t\tadapt, self.input_data[t], syn_x, syn_u)\n\t\t\t\telse:\n\t\t\t\t\tspike, state, adapt, syn_x, syn_u = self.AdEx_cell(self.h_out[-10], self.h[-1], \\\n\t\t\t\t\t\tadapt, self.input_data[t], syn_x, syn_u)\n\t\t\t\ty = 0.95*y + 0.05*(spike @ self.var_dict['W_out'] + self.var_dict['b_out'])\n\n\t\t\t\tself.h_out.append(spike)\n\t\t\t\tself.h.append(state)\n\t\t\t\tself.output.append(y)\n\t\t\t\tself.syn_x.append(syn_x)\n\t\t\t\tself.syn_u.append(syn_u)\n\n\t\t\telif par['cell_type'] == 'lif':\n\t\t\t\tspike, state, adapt, syn_x, syn_u = self.LIF_cell(self.h_out[-1], self.h[-1], adapt, self.input_data[t], syn_x, syn_u)\n\t\t\t\ty = 0.95*y + 0.05*spike @ self.var_dict['W_out'] + 0.*self.var_dict['b_out']\n\n\t\t\t\tself.h_out.append(spike)\n\t\t\t\tself.h.append(state)\n\t\t\t\tself.output.append(y)\n\n\t\t# Stack records\n\t\tself.output = tf.stack(self.output, axis=0)\n\t\tself.h = tf.stack(self.h, axis=0)\n\t\tself.h_out = tf.stack(self.h_out, axis=0)\n\t\tself.syn_x = tf.stack(self.syn_x, axis=0)\n\t\tself.syn_u = tf.stack(self.syn_u, axis=0)","def set_cells(self, val=None):\t\r\n self._cells = \\\r\n (self.nx-1 if self.nx>1 else 1)* \\\r\n (self.ny-1 if self.ny>1 else 1)* \\\r\n (self.nz-1 if self.nz>1 else 1)","def change_cell(self):\n\n x, mu = self.update_position_direction(self.l_edge)\n mu_mean = self.calculate_mean_mu(self.x, x, self.l_edge)\n self.update_estimators(self.l_edge, mu_mean)\n\n if self.next_cell_index == self.grid.Ncells:\n # packet escapes\n self.is_escaped = True\n self.is_active = False\n self.mu = mu\n self.x = self.cell_xr\n\n elif self.next_cell_index == -1:\n\n raise GeometryException(\"No inner boundary in homogeneous sphere\")\n\n else:\n # packet is transported into target cell\n\n self.mu = mu\n\n if self.next_cell_index > self.cell_index:\n # packet is moved one cell to the right\n\n self.x = self.grid.xl[self.next_cell_index]\n\n else:\n # packet is moved one cell to the left\n\n self.x = self.grid.xr[self.next_cell_index]\n\n # reset cell-based properties for easy access\n self.cell_index = self.next_cell_index\n self.cell_chi = self.grid.chi[self.cell_index]\n self.cell_xl = self.grid.xl[self.cell_index]\n self.cell_xr = self.grid.xr[self.cell_index]\n self.cell_dx = self.grid.dx[self.cell_index]\n self.cell_dV = self.grid.dV[self.cell_index]\n\n # recalculate distances\n self.calculate_and_set_propagation_distances()","def update_state_game_variables(self):\n self.model.numbers = [0, 1, 2, 3, 4, 5, 6, 7, 8]\n self.model.player_mark = \"\"\n self.model.player_move = 0\n self.model.boards = [\"board\"] * 9\n self.update_score_board()","def main_loop(self):\n for iteration in xrange(1, self.num_iterations + 1):\n print \"At iteration %d\" % iteration\n self.it_num = iteration\n \n ### Select cells randomly without replacement\n x, y = np.meshgrid(np.arange(self.x_len), np.arange(self.y_len))\n \n x = x.flat\n y = y.flat\n \n shuffled_indices = np.random.permutation(np.arange(self.x_len * self.y_len))\n \n for index in shuffled_indices:\n # Get the current y and x indices\n cur_y, cur_x = y[index], x[index]\n \n \n if self.altered == False:\n # Use the standard version\n if self.grid[cur_y, cur_x] == 0:\n # If there's no slab there then we can't erode it!\n continue\n else:\n # Use the altered version of checking if we can erde\n if self.grid[cur_y, cur_x] == self.depth[cur_y, cur_x]:\n # We can't erode it, so continue\n continue\n \n # Check to see if the cell is in shadow.\n if self.cell_in_shadow(cur_y, cur_x):\n # If it's in shadow then we can't erode it, so go to the next random cell \n continue\n \n if True:\n # Move a slab\n self.grid[cur_y, cur_x] -= 1\n \n orig_y, orig_x = cur_y, cur_x\n \n # Loop forever - until we break out of it\n while True:\n new_y, new_x = cur_y, self.add_x(cur_x, self.jump_length)\n \n if self.grid[new_y, new_x] == 0:\n prob = self.pd_ns\n else:\n prob = self.pd_s\n \n if np.random.random_sample() <= prob:\n # Drop cell\n break\n else:\n cur_y, cur_x = new_y, new_x\n \n #print \"Dropping on cell\"\n #print new_y, new_x\n # Drop the slab on the cell we've got to\n self.grid[new_y, new_x] += 1\n \n self.do_repose(orig_y, orig_x)\n \n self.do_repose(new_y, new_x)\n \n self.write_file()","def update_(self, k):\n for z in range(self.sweeps_per_update):\n new_u_grid = self.u_grid.copy()\n new_v_grid = self.v_grid.copy()\n for i in range(self.N):\n for j in range(self.N):\n\n deltaU = (self.D1*self.dt) * (self.laplacian_(self.u_grid, i, j))\\\n - self.dt * self.u_grid[i][j]*self.v_grid[i][j]**2 \\\n + self.dt * self.F*(1-self.u_grid[i][j])\n new_u_grid[i][j] += deltaU\n deltaV = (self.D2*self.dt) * (self.laplacian_(self.v_grid, i, j))\\\n + self.dt*self.u_grid[i][j]*self.v_grid[i][j]**2 \\\n - self.dt*(self.F+self.k)*self.v_grid[i][j]\n new_v_grid += deltaV\n self.u_grid = new_u_grid.copy()\n self.v_grid = new_v_grid.copy()\n if self.animation:\n self.fig.clear()\n plt.imshow(self.u_grid, interpolation='nearest',\n cmap='coolwarm', origin='lower')\n plt.colorbar()","def update(self, board):\n for row in range(8):\n for col in range(8):\n if board[row, col] == -1:\n self.circles[row][col].undraw()\n self.circles[row][col].draw(self.win)\n self.circles[row][col].setFill(self.piece_colors[0])\n elif board[row, col] == -2:\n self.circles[row][col].undraw()\n self.circles[row][col].draw(self.win)\n self.circles[row][col].setFill(self.piece_colors[2])\n elif board[row, col] == 0:\n self.circles[row][col].undraw()\n self.pieces[row][col].setFill(self.frame_colors[(row+col)%2])\n elif board[row, col] == 1:\n self.circles[row][col].undraw()\n self.circles[row][col].draw(self.win)\n self.circles[row][col].setFill(self.piece_colors[1])\n elif board[row, col] == 2:\n self.circles[row][col].undraw()\n self.circles[row][col].draw(self.win)\n self.circles[row][col].setFill(self.piece_colors[3])","def update(self, i, losses):\n pass","def update_cell_nodes(self):\n self.cells['nodes'] = -1\n\n for c in range(self.Ncells()):\n # consider two edges at a time, and find the common node\n for i,(ja,jb) in enumerate(circular_pairs(self.cell_to_edges(c))):\n for n in self.edges['nodes'][ja,:]: \n if n in self.edges['nodes'][jb]:\n self.cells['nodes'][c,i] = n\n break","def step(self):\n for p, grad, v, square_grad_avg, delta_x_acc in self.params:\n # Compute the running average of the squared gradients \n square_grad_avg.mul_(self.rho)\n square_grad_avg.addcmul_(grad, grad, value = 1 - self.rho)\n # Compute the RMS of the previous squared gradients (eps to avoid numerical issues later for division)\n std = (square_grad_avg.add_(self.eps)).sqrt_()\n # Compute the accumulated update\n delta_x = ((delta_x_acc.add_(self.eps)).sqrt_()) * grad / std\n # Accumulate the updates\n delta_x_acc.mul_(self.rho)\n delta_x_acc.addcmul_(delta_x, delta_x, value = 1 - self.rho) \n # Update the parameters\n p.add_(delta_x, alpha = - self.lr)","def updateState(self):\n self.state = self.microgridPolicy.computeState();","def update_cell_edges(self):\n self.cells['edges'] = -1\n for c in range(self.Ncells()):\n for i,(a,b) in enumerate(circular_pairs(self.cell_to_nodes(c))):\n self.cells['edges'][c,i] = self.nodes_to_edge(a,b)","def update(self, grid, colRamp = ['white', 'blue']):\n \n # update the cell colors\n for y in range(len(grid)):\n yl = y + 1\n for x in range(len(grid[y])):\n xl = x + 1\n color = colRamp[int(grid[y][x])]\n self.displayWindow.update((xl, yl), color)\n\n # refresh the window\n self.displayWindow.tkupdate()","def update_grid(self):\n if self.game_over:\n return\n if self.active_piece is None:\n self.place_new_piece()\n if self.piece_collision_exists(self.active_piece):\n self.handle_active_piece_collision()\n self.place_new_piece()\n self.shift_cells(self.active_piece, self.current_direction)\n self.active_piece = TransformPiece.shift_coordinates(self.active_piece, self.current_direction)\n self.merge_with_completed_rows()\n if self.is_game_won():\n self.game_over = True","def update(self):\n self.board.update()","def updateGrid(self) -> None:\n emu = self.emulator\n arch = self.root.arch\n registers = arch.registers\n self.__values.setRowCount(len(registers))\n for i, reg in enumerate(registers):\n self.__values.setRowHeight(i, self.__row_size)\n name = QTableWidgetItem(reg)\n name.setFlags(Qt.NoItemFlags)\n val = emu.get_register_value(reg) if emu.vm else 0\n old_val = self.__old_register_values.get(reg, 0)\n if type(val) in (int, int):\n value = format_address(val, arch)\n else:\n value = str(val)\n value = QTableWidgetItem( value )\n if old_val != val:\n self.__old_register_values[reg] = val\n value.setForeground(QColor(Qt.red))\n value.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable | Qt.ItemIsEditable)\n self.__values.setItem(i, 0, name)\n self.__values.setItem(i, 1, value)\n return","def update1(self):\r\n tmp = [row.copy() for row in self.grid]\r\n changed = False\r\n for y in range(self.height):\r\n for x in range(self.width):\r\n if self.grid[y][x] == '#' and 5 <= sum(\r\n self.is_occupied((x + i, y + j)) for i in [-1, 0, 1] for j in [-1, 0, 1]):\r\n # >= 5, because we also count (x,y)\r\n tmp[y][x] = 'L'\r\n changed = True\r\n elif self.grid[y][x] == 'L' and self.is_available(x, y):\r\n tmp[y][x] = '#'\r\n changed = True\r\n else:\r\n tmp[y][x] = self.grid[y][x]\r\n self.grid = tmp\r\n return changed","def update_cells(self):\n mineboard = self.mineboard\n gameboard = mineboard.gameboard\n for change in mineboard.changes:\n i, j = change[0], change[1]\n text_val = gameboard[i][j]\n\n if text_val == 'M':\n self.canvas.delete(self.cells[i][j])\n self.cells[i][j] = self.canvas.create_image(\n 2+j*CELLWIDTH, 2+i*CELLWIDTH, image=EXPLODED, anchor='nw')\n self.reveal_mines(i, j)\n\n elif text_val == 'F':\n self.canvas.delete(self.cells[i][j])\n self.cells[i][j] = self.canvas.create_image(\n 2+j*CELLWIDTH, 2+i*CELLWIDTH, image=FLAG, anchor='nw')\n\n elif text_val == ' ':\n self.canvas.delete(self.cells[i][j])\n self.cells[i][j] = self.canvas.create_rectangle(\n 2+j*CELLWIDTH, 2+i*CELLWIDTH, (j+1)*CELLWIDTH, (i+1)*CELLWIDTH, fill=DEFAULT_COLOR, outline=\"\")\n\n elif text_val in ['0', '1', '2', '3', '4', '5', '6', '7', '8']:\n self.canvas.itemconfig(\n self.cells[i][j], fill=COLORS[int(text_val)])\n if text_val != '0':\n # offset here is by 12 pixels\n self.canvas.create_text(\n 2+j*CELLWIDTH+(CELLWIDTH-1)//2, 2+i*CELLWIDTH+(CELLWIDTH-1)//2, anchor='center', text=f\"{text_val}\")\n\n mineboard.changes = [] # removes previous changes\n if mineboard.gamestate is not None:\n # if the game has ended displays game end message and buttons\n self.win_lose_lbl.grid(row=3, column=0, columnspan=4)\n self.win_lose_msg.set(\n f\"You {self.mineboard.gamestate}! Play again?\")\n self.same_again_bttn.grid(row=4, column=0, columnspan=2)\n self.play_again_bttn.grid(row=4, column=2, columnspan=2)","def update(self, k):\n for z in range(self.sweeps_per_update):\n\n\n u_update = self.dt* (np.multiply(self.D1,(self.lap2D(self.u_grid))))\\\n - self.dt * np.multiply(self.u_grid, np.square(self.v_grid))\\\n + self.dt * self.F * (1 - self.u_grid)\n\n\n v_update = self.dt*(np.multiply(self.D2,(self.lap2D(self.v_grid))))\\\n + self.dt * np.multiply(self.u_grid, np.square(self.v_grid))\\\n - self.dt * (self.F + self.k)*self.v_grid\n\n\n self.u_grid = np.add(self.u_grid, u_update)\n self.v_grid = np.add(self.u_grid, v_update)\n\n if self.animation:\n self.fig.clear()\n plt.xlabel(\"F: %.3f, dt:%.3f\" % (self.F, self.dt))\n plt.imshow(self.u_grid, interpolation='nearest',\n cmap='coolwarm', origin='lower')\n plt.colorbar()","def next_period_step(self):\n self.update_forces()\n element: Cell\n for element in self.cells:\n self.update_coordinates(element)\n self.update_volosity(element)","def test_live_cell(self, alive_cells, alive):\n for positions in alive_cells:\n world = gol.World(3, 3)\n world.set_cell((0, 0))\n for x, y in positions:\n world.set_cell((x, y))\n world.update()\n assert world[(0, 0)] == alive","def get_transition(self, row, col, action, tot_row, tot_col):\n\n '''\n Expand the grid of the environment to handle when the \n agent decides to move in the direction of a wall \n '''\n state_probabilities = np.zeros((int(np.sqrt(self.env.observation_space.n)) + 2, int(np.sqrt(self.env.observation_space.n)) + 2), dtype=float)\n\n if action == 'UP':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.33 #UP\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\n state_probabilities[row, col + 1] = 0.33 # RIGHT\n state_probabilities[row + 1, col] = 0.0 #DOWN\n elif action == 'LEFT':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.33 #UP\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\n state_probabilities[row, col + 1] = 0.0 # RIGHT\n state_probabilities[row + 1, col] = 0.33 #DOWN\n elif action == 'RIGHT':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.33 #UP\n state_probabilities[row, col - 1 ] = 0.0 #LEFT\n state_probabilities[row, col + 1] = 0.33 # RIGHT\n state_probabilities[row + 1, col] = 0.33 #DOWN\n elif action == 'DOWN':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.0 # UP\n state_probabilities[row, col - 1] = 0.33 # LEFT\n state_probabilities[row, col + 1] = 0.33 # RIGHT\n state_probabilities[row + 1, col] = 0.33 # DOWN\n\n for row in range (0, tot_row+1):\n if state_probabilities[row, 0] != 0:\n state_probabilities[row, 1] += state_probabilities[row, 0]\n elif state_probabilities[row, -1] != 0:\n state_probabilities[row, -2] += state_probabilities[row, -1]\n\n for col in range (0, tot_col+1):\n if state_probabilities[0, col] != 0:\n state_probabilities[1, col] += state_probabilities[0, col]\n elif state_probabilities[-1, col] != 0:\n state_probabilities[-2, col] += state_probabilities[-1, col]\n\n return state_probabilities[1: 1+tot_row, 1:1+tot_col]","def get_transition(self, row, col, action, tot_row, tot_col):\n\n '''\n Expand the grid of the environment to handle when the \n agent decides to move in the direction of a wall \n '''\n state_probabilities = np.zeros((int(np.sqrt(self.env.observation_space.n)) + 2, int(np.sqrt(self.env.observation_space.n)) + 2), dtype=float)\n\n if action == 'UP':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.33 #UP\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\n state_probabilities[row, col + 1] = 0.33 # RIGHT\n state_probabilities[row + 1, col] = 0.0 #DOWN\n elif action == 'LEFT':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.33 #UP\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\n state_probabilities[row, col + 1] = 0.0 # RIGHT\n state_probabilities[row + 1, col] = 0.33 #DOWN\n elif action == 'RIGHT':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.33 #UP\n state_probabilities[row, col - 1 ] = 0.0 #LEFT\n state_probabilities[row, col + 1] = 0.33 # RIGHT\n state_probabilities[row + 1, col] = 0.33 #DOWN\n elif action == 'DOWN':\n row += 1\n col += 1\n state_probabilities[row - 1, col] = 0.0 # UP\n state_probabilities[row, col - 1] = 0.33 # LEFT\n state_probabilities[row, col + 1] = 0.33 # RIGHT\n state_probabilities[row + 1, col] = 0.33 # DOWN\n\n for row in range (0, tot_row+1):\n if state_probabilities[row, 0] != 0:\n state_probabilities[row, 1] += state_probabilities[row, 0]\n elif state_probabilities[row, -1] != 0:\n state_probabilities[row, -2] += state_probabilities[row, -1]\n\n for col in range (0, tot_col+1):\n if state_probabilities[0, col] != 0:\n state_probabilities[1, col] += state_probabilities[0, col]\n elif state_probabilities[-1, col] != 0:\n state_probabilities[-2, col] += state_probabilities[-1, col]\n\n return state_probabilities[1: 1+tot_row, 1:1+tot_col]","def gameOfLife(self, board) -> None:\n changelist = []\n for i in range(len(board)):\n for j in range(len(board[0])):\n if self.ischange(i, j, board):\n changelist.append([i, j])\n\n for x, y in changelist:\n board[x][y] = ~board[x][y] + 2","def update(self):\n self._state = 23","def update(self,dt):\n t1 = time()\n\n if SPLIT:\n self.check_refine()\n if AMALGAMATE:\n self.check_amalg(self.nl_default)\n\n t = time()\n self.rebuild_lists()\n self.timing['nlist rebuild time'] = time() - t\n\n # Is this derivative step required?\n t = time()\n self.derivatives()\n self.timing['deriv time'] = time() - t\n \n t = time()\n self.step(self.gather_state,self.derivatives, \\\n self.gather_derivatives,self.scatter_state,dt)\n self.timing['integrate time'] = time() - t\n \n self.box.apply(self)\n\n if self.thermostat:\n self.apply_thermostat(self.thermostat_temp)\n \n self.timing['update time'] = time() - t1\n self.steps += 1","def __init__(self):\n pygame.init()\n self.settings = Settings()\n self.number_cells_x = int(input(\"Enter number of cells in a row: \"))\n self.cell_width = float(self.settings.screen_width // self.number_cells_x)\n #print(self.cell_width)\n self.number_cells_y = int(self.settings.screen_height // self.cell_width)\n\n self.screen = pygame.display.set_mode((self.settings.screen_width,self.settings.screen_height))\n pygame.display.set_caption(\"Game of Life\")\n\n self.cells = []\n self.to_be_updated = []\n self._create_cells()\n\n self.bg_colour = (self.settings.bg_colour)\n self.waiting = True","def advance_generation(self):\n self.generation += 1\n next_cells = [[self.cell_state['dead']] * self.cols for x in range(self.lines)]\n for i in range(self.lines):\n for j in range(self.cols):\n neighbors = self.get_neighbors(i, j)\n if self[i][j] == self.cell_state['alive']:\n if neighbors == 2 or neighbors == 3:\n next_cells[i][j] = self.cell_state['alive']\n elif self[i][j] == self.cell_state['dead']:\n if neighbors == 3:\n next_cells[i][j] = self.cell_state['alive']\n super().__init__(next_cells)","def _simulate_all_cells(self):\n for ID in tqdm(self.condition_dict, desc='Simulating cells'):\n for n in range(len(self.condition_dict[ID])):\n cond_dict = self.condition_dict[ID][n]\n g, tc, rsh_mult, rs_mult, Io_mult, Il_mult, nnsvth_mult = cond_dict['E'], cond_dict['Tc'], cond_dict[\n 'Rsh_mult'], cond_dict['Rs_mult'], cond_dict['Io_mult'], cond_dict['Il_mult'], cond_dict['nnsvth_mult']\n # calculate the 5 parameters for each set of cell conditions\n\n # Eventually, replace this with derived 5-parameters\n iph, io, rs, rsh, nnsvth = pvlib.pvsystem.calcparams_cec(effective_irradiance=g, temp_cell=tc,\n alpha_sc=self.cell_parameters['alpha_sc'],\n a_ref=self.cell_parameters['a_ref'],\n I_L_ref=self.cell_parameters['I_L_ref'],\n I_o_ref=self.cell_parameters['I_o_ref'],\n R_sh_ref=self.cell_parameters['R_sh_ref'],\n R_s=self.cell_parameters['R_s'],\n Adjust=self.cell_parameters['Adjust'])\n rs, rsh, io, iph, nnsvth = rs * rs_mult, rsh * \\\n rsh_mult, io * Io_mult, iph * Il_mult, nnsvth * nnsvth_mult\n\n # calculate cell IV curves by condition, rather than by cell index\n voc_est = pvlib.singlediode.estimate_voc(iph, io, nnsvth)\n v = voltage_pts(self.num_points_in_IV, voc_est,\n self.module_parameters['breakdown_voltage'])\n i = pvlib.singlediode.bishop88_i_from_v(v, iph, io, rs, rsh, nnsvth,\n breakdown_factor=self.module_parameters['breakdown_factor'],\n breakdown_voltage=self.module_parameters[\n 'breakdown_voltage'],\n breakdown_exp=self.module_parameters['breakdown_exp'])\n\n # @dev: Uncomment if debugging pvlib bishop88 simulation results\n # plt.plot(v,i)\n # plt.xlim(-5,v[-1])\n # plt.ylim(0,iph+1)\n # plt.title(f\"{ID}: {n} :: {rs},\"\n # f\"{rsh}, {io}, {iph}, {nnsvth}\")\n # plt.show()\n\n self.condition_dict[ID][n]['V'] = v\n self.condition_dict[ID][n]['I'] = i\n self.condition_dict[ID][n]['E'] = g\n self.condition_dict[ID][n]['Tc'] = tc\n return","def update_E(self):","def solve(self):\n dim = self.puzzle.dimension\n\n # initial loop\n for value, (row, col) in self.puzzle:\n if value:\n self.clear_row(row, value)\n self.clear_col(col, value)\n self.clear_subgrid(row, col, value)\n self.updates.add((value, (row, col)))\n for ps in self.possibilities:\n ps.discard((row, col))\n\n while self.updates:\n while self.updates:\n # while self.updates:\n value, (row, col) = self.updates.pop()\n for i in range(1, dim + 1):\n self.check_row(i, value)\n self.check_col(i, value)\n for i in range(2, 8, 3):\n self.check_subgrid(row, i, value)\n self.check_subgrid(i, col, value)\n\n for value, (row, col) in self.puzzle:\n if not value:\n self.check_cell(row, col)\n\n # for value in range(1, dim + 1):\n # for row in [2, 5, 8]:\n # for col in [2, 5, 8]:\n # self.check_subgrid(row, col, value)","def process_cell(self, neighbourhood: List[Cell], old_cell: Cell) -> Cell:","def update(self):\n for player in self.players:\n player.update()\n player.last_seen = player.current_cell\n\n self.in_cell()\n for player in self.players:\n if player.current_cell != player.last_seen:\n self.player_paths.add(player.last_seen)\n #If the player has left a cell and moved into another, the vacated cell is\n #added to the list of cells that have been hit\n if player.current_cell in self.player_paths:\n self.players.remove(player)\n player.alive = False\n if len(self.players) == 1:\n self.end_game(self.players[0].name,self.players[0].color)","def advance(self):\n count = [[0 for col in range(self.width+2)] for row in range(self.height+2)]\n for y in range(1, self.height+1):\n for x in range(1, self.width+1):\n if self.array[y][x]:\n count[y][x-1] += 1\n count[y][x+1] += 1\n count[y-1][x-1] += 1\n count[y-1][x] += 1\n count[y-1][x+1] += 1\n count[y+1][x-1] += 1\n count[y+1][x] += 1\n count[y+1][x+1] += 1\n for y in range(1, self.height+1):\n for x in range(1, self.width+1):\n if count[y][x] == 3:\n self.array[y][x] = 1\n elif count[y][x] == 2 and self.array[y][x]:\n self.array[y][x] = 1\n else:\n self.array[y][x] = 0\n self.array[1][1] = 1\n self.array[1][self.width] = 1\n self.array[self.height][self.width] = 1\n self.array[self.height][1] = 1","def apply(self, simulation):\n t = simulation.time\n dt = simulation.timeStep\n if main_rank == 0:\n simulation.printState()\n # OpenCL update\n self.numMethod(self.gpu_field.gpu_data[self.component],\n self.color)\n self.window.widget.updateGL()\n if simulation.currentIteration > 1:\n self.window.label.setText(\n self.labelText + \"t={0:6.2f}, fps={1:6.2f}\".format(\n t + dt,\n 1. / (self.timer.f_timers.values()[0].t - self.ctime)))\n self.ctime = self.timer.f_timers.values()[0].t","def update_eligs(self, *args):\n self.splitGD.update_eligs()","def update_eligs(self, *args):\n self.splitGD.update_eligs()","def generate_nodes(self):\n \n # For all state nodes\n node = 0\n \n for i in range(self.x0_n):\n for j in range(self.x1_n):\n \n # State\n x = np.array([ self.xd[0][i] , self.xd[1][j] ])\n \n # State and grid index based on node #\n self.nodes_state[node,:] = x\n self.nodes_index[node,:] = np.array([i,j])\n \n # Node # based on index ij\n self.x_grid2node[i,j] = node\n\n # Increment node number\n node = node + 1","def update2(self):\r\n tmp = [row.copy() for row in self.grid]\r\n changed = False\r\n for y in range(self.height):\r\n for x in range(self.width):\r\n count = sum(self.see_occupant(x, y, i, j) for i in [-1, 0, 1] for j in [-1, 0, 1])\r\n if self.grid[y][x] == '#' and count >= 5:\r\n tmp[y][x] = 'L'\r\n changed = True\r\n elif self.grid[y][x] == 'L' and count == 0:\r\n tmp[y][x] = '#'\r\n changed = True\r\n else:\r\n tmp[y][x] = self.grid[y][x]\r\n self.grid = tmp\r\n return changed","def updateGameState(self):\n boardArray = self._board.get_board()\n \n if self.state is self._BEGIN:\n\n for i in [1, self._board.get_board_size() - 2]:\n for j in range(1, self._board.get_board_size() - 1):\n\n if boardArray[i][j] != self._board._EMPTY:\n self.state = self._MIDDLE\n return\n\n if boardArray[j][i] != self._board._EMPTY:\n self.state = self._MIDDLE\n return\n\n\n elif self.state is self._MIDDLE:\n nbPieces = self._board.get_total_pieces()\n\n if nbPieces >= self._board.get_board_size()**2 - ENDGAME:\n self.state = self._END\n return","def evolve(tiles, epochs):\n for _ in range(epochs):\n tiles = update_floor(tiles)\n return tiles","def game_updated(self):\n\n # replace with your game updated logic\n self.update_board()","def postSI(self):\n # for cell in self.cells:\n # cell.resetTotOrdFlux()\n self.depth = 0","def calcUpdateByRows(self, rows):\n\n delta_w, delta_hb, delta_vb = \\\n zeros((self.rbm.visibleDim, self.rbm.hiddenDim)), \\\n zeros(self.rbm.hiddenDim), zeros(self.rbm.visibleDim)\n\n for row in rows:\n dw, dhb, dvb = self.calcUpdateByRow(row)\n delta_w += dw\n delta_hb += dhb\n delta_vb += dvb\n\n delta_w /= len(rows)\n delta_hb /= len(rows)\n delta_vb /= len(rows)\n\n # !!! note that this delta is only the 'theoretical' delta\n return delta_w, delta_hb, delta_vb","def updateNodeStates (self,listAtoms):\r\n \r\n for i in range(len(listAtoms)):\r\n for j in range(len(listAtoms[i].nodeArray)):\r\n self.mol[i].nodeArray[j].state = listAtoms[i].nodeArray[j].state","def run_all(self):\n # print(\"running all nodes\")\n executed = set()\n node_update_states = {node: node.block_updates for node in self.flow_view.node_items}\n\n def traverse_upwards(node):\n # Traverse upwards to the top of data flow graph\n if node in executed:\n return\n for port in node.inputs:\n for connection in port.connections:\n traverse_upwards(connection.out.node)\n # print(\"executing\", node)\n node.update_event()\n executed.add(node)\n\n for node in self.flow_view.node_items:\n node.block_updates = True\n\n for node in self.flow_view.node_items:\n traverse_upwards(node)\n\n for node in self.flow_view.node_items:\n node.block_updates = node_update_states[node]\n # print(\"All nodes executed\")","def restart(self):\n self.grid = np.zeros((3, 3), dtype=int)\n self.state = 0","def next_state_of_cell(self, x_cell, y_cell):\n neighbours = self.get_number_neighbours_of_cell(x_cell, y_cell)\n if(self.board_state[x_cell][y_cell] == 1):\n # Any live cell with more than three live neighbours dies, \n # as if by overpopulation.\n if(neighbours > 3):\n return 0\n # Any live cell with fewer than two live neighbours dies,\n # as if by underpopulation.\n elif(neighbours < 2):\n return 0\n # Any live cell with two or three live neighbours lives\n # on to the next generation.\n else:\n return 1\n if(self.board_state[x_cell][y_cell] == 0):\n # Any dead cell with exactly three live neighbours becomes a live cell, \n # as if by reproduction.\n if(neighbours == 3):\n return 1\n else:\n return 0","def _update_loc(self) -> None:\n self.state[:, :, Boids.Attr.LOC] += self.state[:, :, Boids.Attr.VEL]\n # wrap-around the simulated environment\n self.state[:, :, Boids.Attr.LOC] %= np.expand_dims(self.env_bounds, axis=1)","def update_totals(self):\n # Reset counts to 0\n self.total_f = self.total_s = self.total_intra = self.total_mac_regular = self.total_mac_infected = \\\n self.total_mac_activated = self.total_regular_fast = self.total_regular_slow = self.total_infected_fast = \\\n self.total_infected_slow = self.total_activated_fast = self.total_activated_slow = self.total_f_degree = \\\n self.total_s_degree = self.total_activation = 0\n self.total_f_o2 = self.total_s_o2 = 0.0\n\n for node in self.node_list.values():\n # Get values from node\n fast_in_node = node.subpopulations[BACTERIA_FAST]\n slow_in_node = node.subpopulations[BACTERIA_SLOW]\n intra_in_node = node.subpopulations[BACTERIA_INTRACELLULAR]\n reg_mac_in_node = node.subpopulations[MACROPHAGE_REGULAR]\n inf_mac_in_node = node.subpopulations[MACROPHAGE_INFECTED]\n act_mac_in_node = node.subpopulations[MACROPHAGE_ACTIVATED]\n degree = node.degree\n o2_tens = node.oxygen_tension\n # Update relevant totals\n self.total_f += fast_in_node\n self.total_s += slow_in_node\n self.total_intra += intra_in_node\n self.total_mac_regular += reg_mac_in_node\n self.total_mac_infected += inf_mac_in_node\n self.total_mac_activated += act_mac_in_node\n self.total_regular_fast += fast_in_node * reg_mac_in_node\n self.total_regular_slow += slow_in_node * reg_mac_in_node\n self.total_infected_fast += fast_in_node * inf_mac_in_node\n self.total_infected_slow += slow_in_node * inf_mac_in_node\n self.total_activated_fast += fast_in_node * act_mac_in_node\n self.total_activated_slow += slow_in_node * act_mac_in_node\n # TODO - check usage of degree\n self.total_f_degree += fast_in_node * degree\n self.total_s_degree += slow_in_node * degree\n self.total_f_o2 += fast_in_node * (1/o2_tens)\n self.total_s_o2 += slow_in_node * o2_tens\n self.total_activation += reg_mac_in_node * inf_mac_in_node","def calculateState (self):\r\n newState = 0\r\n # print (\"Inside state function the states DNs are: \\n\")\r\n # print (\"Before starting \\n\")\r\n self.stateDanglingNodes()\r\n #for i in range(len(self.metaSpikes)):\r\n # if self.metaSpikes[i].typeSpike == 1:\r\n # print (\"Meta atom number is: \" + str(self.atomNumber) + \"\\n\")\r\n \r\n insideMetState = []\r\n # To calculate the state we need to update every atom the metaatom consistrs off then see\r\n # the states of every dangling node in the metaspikes\r\n for i in range(len(self.metaSpikes)):\r\n if self.metaSpikes[i].typeSpike == 1:\r\n #print (\"Inside type 1 \\n\")\r\n #print (\"Number of type 1 nodes: \" + str(len(self.metaSpikes[i].danglingNodeList)) + \"\\n\")\r\n for j in range(len(self.metaSpikes[i].danglingNodeList)):\r\n insideMetState.append(self.metaSpikes[i].danglingNodeList[j].state)\r\n if self.metaSpikes[i].danglingNodeList[j].state == 1:\r\n # print (\"Adding one \\n\" )\r\n newState += 1\r\n else:\r\n # print (\"Subracting one \\n\")\r\n newState -= 1\r\n else:\r\n \r\n # print (\"Inside type 2 \\n\")\r\n # print (\"Number od type 1 tales: \" + str(len(self.metaSpikes[i].danglingTailList)) + \"\\n\")\r\n for j in range(len(self.metaSpikes[i].danglingTailList)):\r\n #print (\"Size of tail: \" + str(len(self.metaSpikes[i].danglingTailList[j].nodeList)) + \"\\n\")\r\n for k in range(len(self.metaSpikes[i].danglingTailList[j].nodeList)):\r\n insideMetState.append(self.metaSpikes[i].danglingTailList[j].nodeList[k].state)\r\n if self.metaSpikes[i].danglingTailList[j].nodeList[k].state == 1:\r\n newState += 1\r\n else:\r\n newState -= 1 \r\n \r\n # print (\"The state of analysed nodes: \\n\" + str(insideMetState) + \"\\n\")\r\n # print (\"The length of analysed nodes: \\n\" + str(len(insideMetState)) + \"\\n\")\r\n # print (\"The new state is: \" + str(newState) + \"\\n\") \r\n self.state = newState","def update_gol(arr):\n nxt = np.zeros(arr.shape)\n rows,cols = nxt.shape\n for i in range(rows):\n for j in range(cols):\n nn = sum_vonneuman_nn(arr,i,j)\n if arr[i][j]==1:\n if nn==2 or nn==3:\n nxt[i][j]=1\n else:\n if nn==3:\n nxt[i][j]=1\n return nxt","def update_nodes(self):\n raise NotImplementedError('ERROR: sweeper has to implement update_nodes(self)')","def gameOfLife(self, board: List[List[int]]) -> None:\r\n self.board = board\r\n self.l = len(board)\r\n self.w = len(board[0])\r\n status = [[0] * self.w for _ in range(self.l)]\r\n for i in range(self.l):\r\n for j in range(self.w):\r\n status[i][j] = self.statusUpdate(board[i][j], self.countLivingNeighbor([i, j]))\r\n #print(\"prev: \", i, j ,board[i][j], \" count: \", self.countLivingNeighbor([i, j]), \" after:\", status[i][j])\r\n for i in range(self.l):\r\n for j in range(self.w):\r\n board[i][j] = status[i][j]"],"string":"[\n \"def _update_cells(self):\\n for row_number in range(self.number_cells_y):\\n for col_number in range(self.number_cells_x):\\n if self.to_be_updated[row_number][col_number]:\\n self.cells[row_number][col_number].update()\",\n \"def update_cells(self, state):\\n width = WIDTH / CELL_SIZE\\n height = HEIGHT / CELL_SIZE\\n\\n for index in range(0, width * height):\\n if state[index] != self.get_state(index):\\n self.toggle_color(index)\",\n \"def update_state(self):\\n self.reset_state()\\n for piece in self.pieces:\\n coordinates = piece.get_block_positions()\\n for coor in coordinates:\\n x, y = coor\\n self.state[y][x] = piece\",\n \"def run(self):\\n\\t\\tfrom loc import loc as Loc\\n\\t\\tfor r in range(1,self.size):\\n\\t\\t\\tfor c in range(self.size): \\n\\t\\t\\t\\tthis = Loc(r,c)\\n\\t\\t\\t\\tself.state.set_cell(this, self.rule(self.neighbor_vals(this), self.__prob))\\n\\t\\tself.__ran = True\",\n \"def run_iterations(self, n, verbose = False):\\n for i in range(n):\\n # Calculate total number of neighbors for each cell\\n all_neighbors = self.get_all_neighbors()\\n all_num_neighbors = np.sum(all_neighbors, axis = (-2,-1)) - self.board\\n # Determine new state for each cell using lookup table and number of neighbors\\n self.board[:] = np.where(self.board, \\n self.lookup[1][all_num_neighbors], \\n self.lookup[0][all_num_neighbors])\\n # Verbosity check\\n if verbose:\\n print(self.board)\",\n \"def update_positions(self, grid):\\r\\n self.grid = grid\",\n \"def update_E(self):\\n self.grid.E[self.loc] += (\\n self.grid.courant_number\\n * self.grid.inverse_permittivity[self.loc]\\n * self.phi_E\\n )\",\n \"def increment(grid):\\n height = len(grid)\\n width = len(grid[0])\\n for r in range(height):\\n for c in range(width):\\n grid[r][c] += 1\\n if grid[r][c] == 10:\\n grid [r][c] = 0\",\n \"def update(self):\\n self.grid.update()\\n sleep(self.update_rate)\",\n \"def _check_cells(self):\\n for row_number in range(self.number_cells_y):\\n for col_number in range(self.number_cells_x):\\n alive_neighbours = self._get_neighbours(row_number,col_number)\\n \\n self.to_be_updated[row_number][col_number] = False\\n if self.cells[row_number][col_number].get_status():\\n if alive_neighbours < 2:\\n self.to_be_updated[row_number][col_number] = True\\n elif alive_neighbours > 3:\\n self.to_be_updated[row_number][col_number] = True\\n else:\\n if alive_neighbours == 3:\\n self.to_be_updated[row_number][col_number] = True\",\n \"def update_grid(comp, grid):\\n while not comp.waiting and not comp.halt_status:\\n time.sleep(0.001)\\n\\n while not comp.output.empty():\\n # Get 3 results\\n x = comp.output.get()\\n y = comp.output.get()\\n b = comp.output.get()\\n\\n if x == -1 and y == 0:\\n print(f\\\"Score = {b}\\\")\\n\\n grid[x][y] = b\",\n \"def update(self):\\n changes = {}\\n for coord in INDICES: # the need for two for loops is necessary\\n if self.chart[coord] == ALIVE and (\\n self.number_of_neighbors(coord) < 2 or self.number_of_neighbors(coord) > 3):\\n changes[coord] = KILL\\n elif self.number_of_neighbors(coord) == 3:\\n changes[coord] = REVIVE\\n for coord in changes.keys(): # because the evolution is discrete\\n if changes[coord] == KILL:\\n self.kill(coord)\\n elif changes[coord] == REVIVE:\\n self.givebirth(coord)\",\n \"def life_step(state):\\n\\t# For every cell each live cell in any of the 8 neighbouring cells contributes 1 to the sum\\n\\t# Rolling matricies is periodic so this implements periodic boundary conditions\\n\\tnumberOfNeigbours = sum(np.roll(np.roll(state, i, axis=0), j, axis=1)\\n\\t\\t\\t\\t\\t\\t for i in (-1,0,1) for j in (-1,0,1) if (i != 0 or j != 0))\\n\\n\\t# Any live cell with fewer than two live neighbours dies, as if caused by under-population\\n\\tstate = np.where(numberOfNeigbours < 2, 0, state)\\n\\t# Any live cell with more than three live neighbours dies, as if by over-population\\n\\tstate = np.where(numberOfNeigbours > 3, 0, state)\\n\\t# Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction.\\n\\tstate = np.where(numberOfNeigbours == 3, 1, state)\\n\\n\\treturn state\",\n \"def update_E(self):\\n self.grid.E[0, :, :, :] = self.grid.E[-1, :, :, :]\",\n \"def play_round_Fredkin_Cell(self):\\n for x in self.board:\\n for f in x:\\n f.live_neighbors = 0\\n\\n for i in range(1, self.cols - 1):\\n for j in range(1, self.rows - 1):\\n status = self.board[i][j].status\\n assert type(status)==int \\n for m in range(i-1 , i +2):\\n self.board[m][j].live_neighbors += status\\n for n in range(j-1 , j +2):\\n self.board[i][n].live_neighbors += status\\n\\n self.board[i][j].live_neighbors -= status\",\n \"def step(self):\\n\\t\\tnewBoard = CellArray(self.size)\\n\\t\\tfor i in range(0, self.size, 1):\\n\\t\\t\\tfor j in range(0, self.size, 1):\\n\\t\\t\\t\\tnewBoard.board[i][j] = self.changeCell(i, j)\\n\\t\\tself.board = newBoard.board\",\n \"def __iterate(self):\\n\\t\\tnext_board = []\\n\\n\\t\\tfor y, row in enumerate(self.__board):\\n\\t\\t\\tnext_board.append([])\\n\\n\\t\\t\\tfor x, cell in enumerate(row):\\n\\t\\t\\t\\tneighbors = [\\n\\t\\t\\t\\t\\tself.__get_cell_state(y - 1, x - 1),\\n\\t\\t\\t\\t\\tself.__get_cell_state(y - 1, x),\\n\\t\\t\\t\\t\\tself.__get_cell_state(y - 1, x + 1),\\n\\t\\t\\t\\t\\tself.__get_cell_state(y, x - 1),\\n\\t\\t\\t\\t\\tself.__get_cell_state(y, x + 1),\\n\\t\\t\\t\\t\\tself.__get_cell_state(y + 1, x - 1),\\n\\t\\t\\t\\t\\tself.__get_cell_state(y + 1, x),\\n\\t\\t\\t\\t\\tself.__get_cell_state(y + 1, x + 1)\\n\\t\\t\\t\\t]\\n\\t\\t\\t\\tnum_neighbors = sum(neighbors)\\n\\t\\t\\t\\tstate = get_new_state(cell, num_neighbors)\\n\\t\\t\\t\\tnext_board[y].append(state)\\n\\n\\t\\tself.__board = next_board\\n\\t\\tself.__display(self.__board)\",\n \"def play_round_Conway_Cell(self):\\n for x in self.board:\\n for f in x:\\n f.live_neighbors = 0\\n\\n for i in range(1, self.cols - 1):\\n for j in range(1, self.rows - 1):\\n status = self.board[i][j].status\\n assert type(status)==int \\n\\n for m in range(i - 1, i + 2):\\n for n in range(j - 1, j + 2):\\n self.board[m][n].live_neighbors += status\\n self.board[i][j].live_neighbors -= status\",\n \"def _updateTransitionMatrix(self):\\n N = self.N\\n K = self.K\\n T= self.T\\n\\n for i in range(1,self.K+1):\\n den = 0\\n for t in range(1,self.T):\\n for n in range(1,N+1):\\n den = den + self.posterior_state_trellis[n][(t,i)]\\n \\n for j in range(1,self.K+1): \\n # For some state i,j\\n s = 0\\n for n in range(1,N+1): \\n for t in range(1,self.T): \\n cur_prob = self.posterior_transition_trellis[n][(t,t+1,j,i)]\\n s = s+cur_prob\\n\\n # Compute total \\n self.state_transition_mat[(j,i)] = (s/den)\",\n \"def updateCells(cell_positions):\\n # Build a set of canditates for live cells at the next generation, instead of looking through the whole grid\\n # These will be dead neighbours of living cells\\n possible_future_cells = set()\\n # Make sets of cells to add and remove at the end of the check\\n cells_remove = set()\\n cells_add = set()\\n for cell in cell_positions:\\n # Get adjacent squares\\n neighbours_dict = cellNeighbours(cell)\\n number_live_neighbours = 0\\n # Check which of these corresponds to another living cell\\n for square in neighbours_dict.values():\\n if square in cell_positions:\\n number_live_neighbours+=1\\n else:\\n possible_future_cells.add(square)\\n\\n # Any live cell with fewer than two live neighbours dies, as if caused by under-population\\n if number_live_neighbours<2:\\n cells_remove.add(cell)\\n # Any live cell with two or three live neighbours lives on to the next generation\\n # do nothing\\n # Any live cell with more than three live neighbours dies, as if by overcrowding\\n elif number_live_neighbours>3:\\n cells_remove.add(cell)\\n # Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction\\n for cell_candidate in possible_future_cells:\\n cell_candidate_neighbours = cellNeighbours(cell_candidate).values()\\n # Count number of live neighbours\\n count = 0\\n for square in cell_candidate_neighbours:\\n if square in cell_positions:\\n count+=1\\n if count == 3:\\n cells_add.add(cell_candidate)\\n # Update cell_positions by removing dead cells and adding new-born cells\\n for cell in cells_add:\\n cell_positions.add(cell)\\n for cell in cells_remove:\\n cell_positions.remove(cell)\\n # Return the update live cell list\\n return cell_positions\",\n \"def update(self, iteration):\\n pass\",\n \"def update_board(self):\\n for x in self.board:\\n for f in x:\\n if f.status == 0:\\n if f.name == \\\"conway\\\":\\n assert type(self.population)==int\\n if f.live_neighbors == 3:\\n f.symbol =\\\"*\\\"\\n f.status = 1\\n self.population += 1\\n elif f.name == \\\"fredkin\\\":\\n if f.live_neighbors == 1 or f.live_neighbors == 3 :\\n f.status = 1\\n f.symbol = str(f.age)\\n self.population += 1\\n else:\\n f.status = 0\\n\\n elif f.status == 1:\\n if f.name == \\\"conway\\\":\\n assert type(self.population)==int\\n #assert type(f.status)== 1\\n if not((f.live_neighbors == 2 or f.live_neighbors == 3)):\\n f.symbol = \\\".\\\"\\n f.status = 0\\n else:\\n self.population += 1\\n elif f.name == \\\"fredkin\\\":\\n if f.live_neighbors == 1 or f.live_neighbors == 3:\\n f.status = 1\\n f.age += 1\\n if f.age <= 2:\\n f.symbol = str(f.age)\\n self.population += 1\\n else:\\n self.board.replace(f, Conway_Cell(\\\"*\\\"))\\n else:\\n f.status = 0\\n f.symbol = \\\"-\\\"\",\n \"def _compute_world_params(self) -> None:\\n\\n self.states = []\\n for row in range(self.grid_height):\\n for col in range(self.grid_width):\\n cell = row * self.grid_width + col\\n cell_type = self.grid[cell]\\n\\n possible_actions = {\\n Action.up: self._get_action(max(row - 1, 0) * self.grid_width + col),\\n Action.down: self._get_action(min(row + 1, self.grid_height - 1) * self.grid_width + col),\\n Action.right: self._get_action(row * self.grid_width + min(col + 1, self.grid_width - 1)),\\n Action.left: self._get_action(row * self.grid_width + max(col - 1, 0))\\n }\\n\\n self.states.append(State(cell, possible_actions, cell_type))\",\n \"def calculate_next_board_state(self):\\n new_board_state = np.zeros_like(self.board_state)\\n\\n for x in range(self.board_size[0]):\\n for y in range(self.board_size[0]):\\n new_board_state[x][y] = self.next_state_of_cell(x,y)\\n \\n self.set_state(new_board_state)\",\n \"def update_grid(self, player: str, letter: str) -> None:\\n self.cells = [cell.update_cell(player, letter) for cell in self.cells]\\n i = 0\\n while i <= self.size:\\n self.leylines[i].update_line(player, letter)\\n self.rights[i].update_line(player, letter)\\n self.lefts[i].update_line(player, letter)\\n i += 1\",\n \"def compute_updates(self, xs, gs, state=None):\\n raise NotImplementedError()\",\n \"def calc(self):\\n np = 0\\n for cell in self.cells:\\n n = self.cell_np[cell]\\n np += n\\n self.dnp = np - self.np\\n self.np = np\",\n \"def cycle(self):\\n\\n coordinates = self.get_random_coordinates()\\n\\n for coord in coordinates:\\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\\n self.cells[coord].feeding()\\n\\n for coord in coordinates:\\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\\n self.cells[coord].procreation()\\n\\n self.migration()\\n\\n for coord in coordinates:\\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\\n self.cells[coord].aging()\\n\\n for coord in coordinates:\\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\\n self.cells[coord].loss_of_weight()\\n\\n for coord in coordinates:\\n if isinstance(self.cells[coord], (Jungle, Savannah, Desert)):\\n self.cells[coord].death()\\n\\n self.animals_on_island()\",\n \"def updateBoard():\\n #Drawing the initial board positions;\\n for y in range(1, n+1): #1,2,3\\n for x in range(1, n+1):\\n val = positions[y][x];\\n colorNode((x,y), numColors[val])\\n label = Text(Point((x-0.5)*grid_side, (y-0.5)*grid_side),val);\\n label.setSize(30)\\n label.draw(win)\",\n \"def change_cell(self):\\n # TODO: assess whether this may partly moved into the base class\\n\\n x, mu = self.update_position_direction(self.l_edge)\\n mu_mean = self.calculate_mean_mu(self.x, x, self.l_edge)\\n self.update_estimators(self.l_edge, mu_mean)\\n\\n if self.next_cell_index == self.grid.Ncells:\\n # packet escapes\\n self.is_escaped = True\\n self.is_active = False\\n self.x = self.cell_xr\\n\\n elif self.next_cell_index == -1:\\n # packets gets reflected\\n\\n self.x = self.cell_xl\\n self.mu = -self.mu\\n\\n self.calculate_and_set_propagation_distances()\\n\\n else:\\n # packet is transported into target cell\\n if self.next_cell_index > self.cell_index:\\n # packet is moved one cell to the right\\n\\n self.x = self.grid.xl[self.next_cell_index]\\n\\n else:\\n # packet is moved one cell to the left\\n\\n self.x = self.grid.xr[self.next_cell_index]\\n\\n # reset cell-based properties for easy access\\n self.cell_index = self.next_cell_index\\n self.cell_chi = self.grid.chi[self.cell_index]\\n self.cell_xl = self.grid.xl[self.cell_index]\\n self.cell_xr = self.grid.xr[self.cell_index]\\n self.cell_dx = self.grid.dx[self.cell_index]\\n\\n # recalculate distances\\n self.calculate_and_set_propagation_distances()\",\n \"def build_grains(self):\\n\\t\\ttime = datetime.datetime.now()\\n\\t\\tif self.probability == 0:\\n\\t\\t\\tfor cell in self.space.flat:\\n\\t\\t\\t\\tif cell.state != 0 :\\n\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\telif self.check_empty_neighbours(cell):\\n\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\telse:\\t\\n\\t\\t\\t\\t\\tneighbours = self.get_neighbours(cell)\\n\\t\\t\\t\\t\\tgrains = [0 for i in range(self.grains)]\\n\\t\\t\\t\\t\\tfor i in range(1,self.grains+1):\\n\\t\\t\\t\\t\\t\\tfor neighbour in neighbours:\\n\\t\\t\\t\\t\\t\\t\\tif neighbour.state == i and neighbour.timestamp < time:\\n\\t\\t\\t\\t\\t\\t\\t\\tgrains[i] = grains[i] + 1\\n\\t\\t\\t\\t\\tif grains == [0 for i in range(self.grains)]:\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\t\\tnew_grain = 0\\n\\t\\t\\t\\t\\tfor i in range(self.grains):\\n\\t\\t\\t\\t\\t\\tif grains[i] >= new_grain:\\n\\t\\t\\t\\t\\t\\t\\tnew_grain = i\\n\\t\\t\\t\\t\\tcell.change_state(time, new_grain)\\n\\t\\t\\t\\t\\tself.empty_cells = self.empty_cells - 1\\n\\t\\telse:\\n\\t\\t\\tfor cell in self.space.flat:\\n\\t\\t\\t\\tif cell.state != 0 :\\n\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\telif self.check_empty_neighbours(cell):\\n\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\tneighbours = self.get_neighbours(cell)\\n\\t\\t\\t\\t\\tif self.decide_changing(cell,neighbours,5, time):\\n\\t\\t\\t\\t\\t\\tneighbours = self.get_nearest_neighbours(cell)\\n\\t\\t\\t\\t\\t\\tif self.decide_changing(cell,neighbours,3, time):\\n\\t\\t\\t\\t\\t\\t\\tneighbours = self.get_further_neighbours(cell)\\n\\t\\t\\t\\t\\t\\t\\tif self.decide_changing(cell,neighbours,3, time):\\n\\t\\t\\t\\t\\t\\t\\t\\tneighbours = self.get_neighbours(cell)\\n\\t\\t\\t\\t\\t\\t\\t\\tgrains = [0 for i in range(self.grains)]\\n\\t\\t\\t\\t\\t\\t\\t\\tfor i in range(1,self.grains+1):\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tfor neighbour in neighbours:\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tif neighbour.state == i and neighbour.timestamp < time:\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tgrains[i] = grains[i] + 1\\n\\t\\t\\t\\t\\t\\t\\t\\tif grains == [0 for i in range(self.grains)]:\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\t\\t\\t\\t\\tnew_grain = 0\\n\\t\\t\\t\\t\\t\\t\\t\\tfor i in range(self.grains):\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tif grains[i] >= new_grain:\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tnew_grain = i\\n\\t\\t\\t\\t\\t\\t\\t\\trandom_number = random.random() * 100\\n\\t\\t\\t\\t\\t\\t\\t\\tif random_number <= self.probability:\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tcell.change_state(time, new_grain)\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tself.empty_cells = self.empty_cells - 1\\n\\t\\t\\t\\t\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\t\\t\\t\\t\\tcontinue\",\n \"def next_generation(self):\\n new_board = self.array.copy()\\n for cell in self.cells:\\n cell.update(new_board)\\n \\n if np.array_equal(self.prev_array, new_board):\\n self.game.stable = True\\n else:\\n self.prev_array = self.array\\n self.array = new_board\",\n \"def current_update():\\n # Compute the multiplier coefficient:\\n ci = dt / (L * dx)\\n for k in range(0, nx-1):\\n I[k] = I[k] - (ci * (V[k + 1] - V[k]))\",\n \"def state_generator(self):\\n\\n kernel = np.array([\\n [1, 1, 1],\\n [1, 0, 1],\\n [1, 1, 1]])\\n iteration = 0\\n\\n while True: # (Game of Life does not end)\\n # Run 2D convolution with the given kernel to find out how many neighbors each cell has.\\n # Boundary option determines whether to run with hard boundaries on the game board or\\n # using a toroid board which wraps circularly. These are the two strategies for handling\\n # a finite game board. scipy.signal.convolve2d handles these two modes gracefully, which\\n # is why it is used here. There is also a performance gain when using numpy/scipy matrix\\n # operations as opposed to iterating element-wise over the whole matrix.\\n # See https://docs.scipy.org/doc/scipy-0.19.1/reference/generated/scipy.signal.convolve2d.html\\n\\n # There is a more sophisticated and efficient algorithm for determining next game state\\n # (see http://dotat.at/prog/life/life.html) but for clarity and a lack of time, the standard\\n # implementation was chosen.\\n\\n num_neighbors_board = convolve2d(self.board, kernel, mode='same', boundary=self.boundary.value)\\n\\n # Find empty cells that have three neighbors\\n birth_coordinates = np.where(np.logical_and(self.board == 0, num_neighbors_board == 3))\\n\\n # Find live cells with too few or too many neighbors\\n death_coordinates = np.where(\\n np.logical_and(\\n self.board == 1,\\n np.logical_or(num_neighbors_board < 2, num_neighbors_board > 3)\\n )\\n )\\n\\n births = np.array(birth_coordinates).transpose().tolist()\\n deaths = np.array(death_coordinates).transpose().tolist()\\n self.board[birth_coordinates] = 1\\n self.board[death_coordinates] = 0\\n\\n iteration += 1\\n yield self.board, births, deaths, iteration\",\n \"def _ignite_cells(self, istep, ip):\\n particle = self.particles[ip] # get particle\\n state, x, y = particle.get_from_keys([\\\"state\\\", \\\"x\\\", \\\"y\\\"])\\n if state > STTHR:\\n for i in range(self.grid.NX-1):\\n if abs(x - self.grid.XCELL[i, 0]) < self.grid.DX/2:\\n INDX = i\\n for j in range(self.grid.NY-1):\\n if abs(y - self.grid.YCELL[0, j]) < self.grid.DY/2:\\n INDY = j\\n cell = self.grid.CELLS[INDX, INDY]\\n cell.BURNPROG += 1\\n if (cell.QMAXTR > 0 or cell.QMAXBLD > 0) and cell.BURNSTAT == 0:\\n cell.BURNSTAT = 1\\n cell.CLOCK = self.TIME[istep]\\n # elif cell.QMAXTR == 0 or cell.QMAXBLD == 0:\\n # particle.update(state=0.0, factor=0.0)\\n # if pType == 2:\\n # particle.update(state=0.0)\",\n \"def increment_time_step(self):\\n for grid in self.get_grid_list():\\n try:\\n self[grid].increment_time_step()\\n except AttributeError:\\n pass\",\n \"def update_grid(self):\\n # Check to see if we have moved squares\\n _new_grid = self.calc_grid()\\n if _new_grid == self._grid:\\n return\\n # Remove from old square and add to new square\\n self.target._grid[self._grid][self._type].discard(self)\\n self.target._grid[_new_grid][self._type].add(self)\\n # Update coordinates\\n self._grid = _new_grid\",\n \"def update_state(self, context: GANContext) -> None:\\n updater = lambda value: lambda: self._metric.update_state(value)\\n for real_xy, noise in context.dataset:\\n real_x, real_y = real_xy\\n\\n g_inputs = noise\\n if len(context.generator_model.inputs) == 2:\\n g_inputs = [noise, real_y]\\n\\n fake = context.generator_model(\\n g_inputs, training=context.log_eval_mode == LogEvalMode.TRAIN\\n )\\n\\n # check the resolution is the same as the one passed as input\\n resolution = real_x.shape[1]\\n if resolution != self.resolution:\\n raise ValueError(\\n \\\"Image resolution is not the same as the input resolution.\\\"\\n )\\n\\n scores = sliced_wasserstein_distance(\\n real_x,\\n fake,\\n resolution_min=self.resolution_min,\\n patches_per_image=self.patches_per_image,\\n use_svd=self.use_svd,\\n patch_size=self.patch_size,\\n random_projection_dim=self.random_projection_dim,\\n random_sampling_count=self.random_sampling_count,\\n )\\n\\n fake_scores = []\\n\\n for i, couple in enumerate(scores):\\n self.children_real_fake[i][0].update_state(context, couple[0])\\n self.children_real_fake[i][1].update_state(context, couple[1])\\n fake_scores.append(tf.expand_dims(couple[1], axis=0))\\n\\n fake_scores = tf.concat(fake_scores, axis=0)\\n\\n self._distribute_strategy.experimental_run_v2(updater(fake_scores))\",\n \"def update(self,dt):\\n self.rebuild_lists()\\n self.step(self.gather_state,self.derivatives, \\\\\\n self.gather_derivatives,self.scatter_state,dt)\\n self.box.apply(self)\\n self.steps += 1\",\n \"def update_E(self):\\n self.grid.E[:, 0, :, :] = self.grid.E[:, -1, :, :]\",\n \"def update_pop_matrix(self):\\n for row in self.unique_rows[1:-1]: # First and last cell is water\\n for col in self.unique_cols[1:-1]: # First and last cell is water\\n cell = self.landscape[(row, col)]\\n if cell.is_mainland:\\n # print(cell)\\n self.herb_pop_matrix[row - 1][col - 1] = cell.herb_count\\n self.carn_pop_matrix[row - 1][col - 1] = cell.carn_count\",\n \"def update_neighbours(self, iteration, iterations, input_vector, bmu):\\n\\n t = iteration / iterations\\n learning_rate = self.learning_rate(t)\\n for node in self.codebook:\\n influence = self.codebook.neighbourhood(node, bmu, t)\\n node.update(learning_rate, influence, input_vector, bmu)\",\n \"def update_E(self):\\n self.grid.E[:, :, 0, :] = self.grid.E[:, :, -1, :]\",\n \"def update_cnt_map(self,s):\\r\\n cnts = []\\r\\n num_grid = self.cnt_map.shape[0]*self.cnt_map.shape[1]\\r\\n old_coverage =num_grid- self.cnt_map.flatten().tolist().count(0)\\r\\n for sj in s:\\r\\n grid_s = self.get_gridState(sj)\\r\\n self.cnt_map[grid_s[0], grid_s[1]] += 1\\r\\n cnts.append(self.cnt_map[grid_s[0], grid_s[1]])\\r\\n\\r\\n self.map_coverage = num_grid - self.cnt_map.flatten().tolist().count(0)\\r\\n print(\\\"Coverage:\\\",self.map_coverage)\\r\\n print(\\\"Change of coverage:\\\",self.map_coverage-old_coverage)\\r\\n\\r\\n return cnts\",\n \"def update(frame_num, mat, grid, N):\\n\\n new_grid = np.copy(grid)\\n #print(\\\"grid size:\\\", grid.shape)\\n for i in range(1, grid.shape[0]-1):\\n for j in range(1, grid.shape[1]-1):\\n neighbors = int(grid[i-1, j] + grid[i+1, j] + \\\\\\n grid[i, j+1] + grid[i, j-1] + \\\\\\n grid[i-1,j-1] + grid[i+1,j+1] + \\\\\\n grid[i+1,j-1] + grid[i-1,j+1])\\n if grid[i, j] == ON:\\n if not (2 <= neighbors <= 3):\\n new_grid[i, j] = OFF\\n elif grid[i, j] == OFF and neighbors == 3:\\n # Grow a cell\\n new_grid[i, j] = ON\\n else:\\n new_grid[i, j] = OFF\\n\\n ### Update new grid\\n mat.set_data(new_grid)\\n grid[:] = new_grid[:] # Brackets are important\\n return mat\",\n \"def update_all(self,delta_t):\\n self.update_thrust()\\n self.update_climb_rate()\\n self.update_height(delta_t)\",\n \"def rnn_cell_loop(self):\\n\\n\\t\\t# Set up initial state\\n\\t\\tself.h_out = [tf.zeros([par['batch_size'],par['n_hidden']])]\\t\\t\\t# Spike\\n\\t\\tself.h = tf.ones([par['batch_size'],par['n_hidden']])\\t\\t\\t\\t\\t# State\\n\\t\\tself.h *= 0.1 if par['cell_type'] == 'rate' else par[par['cell_type']]['V_r']\\n\\t\\tself.h = [self.h]\\n\\t\\tadapt = par['w_init']*tf.ones([par['batch_size'],par['n_hidden']])\\n\\n\\t\\tsyn_x = par['syn_x_init']*tf.ones([par['batch_size'], par['n_hidden']]) if par['use_stp'] else None\\n\\t\\tsyn_u = par['syn_u_init']*tf.ones([par['batch_size'], par['n_hidden']]) if par['use_stp'] else None\\n\\n\\t\\t# Apply the EI mask to the recurrent weights\\n\\t\\tself.W_rnn_effective = par['EI_matrix'] @ tf.nn.relu(self.var_dict['W_rnn'])\\n\\n\\t\\t# Set up latency buffer if being used\\n\\t\\tif par['use_latency']:\\n\\t\\t\\tself.state_buffer = [tf.zeros([par['batch_size'], par['n_hidden']]) for t in range(par['latency_max'])]\\n\\t\\t\\tself.state_buffer = deque(self.state_buffer)\\n\\t\\t\\tself.W_rnn_latency = self.W_rnn_effective[tf.newaxis,...] * par['latency_mask']\\n\\t\\t\\tself.lat_spike_shape = tf.ones([par['latency_max'], 1, 1])\\n\\n\\t\\t# Set up output record\\n\\t\\tself.output = []\\n\\t\\tself.syn_x = []\\n\\t\\tself.syn_u = []\\n\\n\\t\\ty = 0.\\n\\t\\tfor t in range(par['num_time_steps']):\\n\\t\\t\\tself.t = t \\t\\t# For latency calculations\\n\\n\\t\\t\\tif par['cell_type'] == 'rate':\\n\\t\\t\\t\\traise Exception('Rate cell not yet implemented.')\\n\\t\\t\\telif par['cell_type'] == 'adex':\\n\\t\\t\\t\\tif t < 10:\\n\\t\\t\\t\\t\\tspike, state, adapt, syn_x, syn_u = self.AdEx_cell(tf.zeros_like(self.h_out[-1]), self.h[-1], \\\\\\n\\t\\t\\t\\t\\t\\tadapt, self.input_data[t], syn_x, syn_u)\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\tspike, state, adapt, syn_x, syn_u = self.AdEx_cell(self.h_out[-10], self.h[-1], \\\\\\n\\t\\t\\t\\t\\t\\tadapt, self.input_data[t], syn_x, syn_u)\\n\\t\\t\\t\\ty = 0.95*y + 0.05*(spike @ self.var_dict['W_out'] + self.var_dict['b_out'])\\n\\n\\t\\t\\t\\tself.h_out.append(spike)\\n\\t\\t\\t\\tself.h.append(state)\\n\\t\\t\\t\\tself.output.append(y)\\n\\t\\t\\t\\tself.syn_x.append(syn_x)\\n\\t\\t\\t\\tself.syn_u.append(syn_u)\\n\\n\\t\\t\\telif par['cell_type'] == 'lif':\\n\\t\\t\\t\\tspike, state, adapt, syn_x, syn_u = self.LIF_cell(self.h_out[-1], self.h[-1], adapt, self.input_data[t], syn_x, syn_u)\\n\\t\\t\\t\\ty = 0.95*y + 0.05*spike @ self.var_dict['W_out'] + 0.*self.var_dict['b_out']\\n\\n\\t\\t\\t\\tself.h_out.append(spike)\\n\\t\\t\\t\\tself.h.append(state)\\n\\t\\t\\t\\tself.output.append(y)\\n\\n\\t\\t# Stack records\\n\\t\\tself.output = tf.stack(self.output, axis=0)\\n\\t\\tself.h = tf.stack(self.h, axis=0)\\n\\t\\tself.h_out = tf.stack(self.h_out, axis=0)\\n\\t\\tself.syn_x = tf.stack(self.syn_x, axis=0)\\n\\t\\tself.syn_u = tf.stack(self.syn_u, axis=0)\",\n \"def set_cells(self, val=None):\\t\\r\\n self._cells = \\\\\\r\\n (self.nx-1 if self.nx>1 else 1)* \\\\\\r\\n (self.ny-1 if self.ny>1 else 1)* \\\\\\r\\n (self.nz-1 if self.nz>1 else 1)\",\n \"def change_cell(self):\\n\\n x, mu = self.update_position_direction(self.l_edge)\\n mu_mean = self.calculate_mean_mu(self.x, x, self.l_edge)\\n self.update_estimators(self.l_edge, mu_mean)\\n\\n if self.next_cell_index == self.grid.Ncells:\\n # packet escapes\\n self.is_escaped = True\\n self.is_active = False\\n self.mu = mu\\n self.x = self.cell_xr\\n\\n elif self.next_cell_index == -1:\\n\\n raise GeometryException(\\\"No inner boundary in homogeneous sphere\\\")\\n\\n else:\\n # packet is transported into target cell\\n\\n self.mu = mu\\n\\n if self.next_cell_index > self.cell_index:\\n # packet is moved one cell to the right\\n\\n self.x = self.grid.xl[self.next_cell_index]\\n\\n else:\\n # packet is moved one cell to the left\\n\\n self.x = self.grid.xr[self.next_cell_index]\\n\\n # reset cell-based properties for easy access\\n self.cell_index = self.next_cell_index\\n self.cell_chi = self.grid.chi[self.cell_index]\\n self.cell_xl = self.grid.xl[self.cell_index]\\n self.cell_xr = self.grid.xr[self.cell_index]\\n self.cell_dx = self.grid.dx[self.cell_index]\\n self.cell_dV = self.grid.dV[self.cell_index]\\n\\n # recalculate distances\\n self.calculate_and_set_propagation_distances()\",\n \"def update_state_game_variables(self):\\n self.model.numbers = [0, 1, 2, 3, 4, 5, 6, 7, 8]\\n self.model.player_mark = \\\"\\\"\\n self.model.player_move = 0\\n self.model.boards = [\\\"board\\\"] * 9\\n self.update_score_board()\",\n \"def main_loop(self):\\n for iteration in xrange(1, self.num_iterations + 1):\\n print \\\"At iteration %d\\\" % iteration\\n self.it_num = iteration\\n \\n ### Select cells randomly without replacement\\n x, y = np.meshgrid(np.arange(self.x_len), np.arange(self.y_len))\\n \\n x = x.flat\\n y = y.flat\\n \\n shuffled_indices = np.random.permutation(np.arange(self.x_len * self.y_len))\\n \\n for index in shuffled_indices:\\n # Get the current y and x indices\\n cur_y, cur_x = y[index], x[index]\\n \\n \\n if self.altered == False:\\n # Use the standard version\\n if self.grid[cur_y, cur_x] == 0:\\n # If there's no slab there then we can't erode it!\\n continue\\n else:\\n # Use the altered version of checking if we can erde\\n if self.grid[cur_y, cur_x] == self.depth[cur_y, cur_x]:\\n # We can't erode it, so continue\\n continue\\n \\n # Check to see if the cell is in shadow.\\n if self.cell_in_shadow(cur_y, cur_x):\\n # If it's in shadow then we can't erode it, so go to the next random cell \\n continue\\n \\n if True:\\n # Move a slab\\n self.grid[cur_y, cur_x] -= 1\\n \\n orig_y, orig_x = cur_y, cur_x\\n \\n # Loop forever - until we break out of it\\n while True:\\n new_y, new_x = cur_y, self.add_x(cur_x, self.jump_length)\\n \\n if self.grid[new_y, new_x] == 0:\\n prob = self.pd_ns\\n else:\\n prob = self.pd_s\\n \\n if np.random.random_sample() <= prob:\\n # Drop cell\\n break\\n else:\\n cur_y, cur_x = new_y, new_x\\n \\n #print \\\"Dropping on cell\\\"\\n #print new_y, new_x\\n # Drop the slab on the cell we've got to\\n self.grid[new_y, new_x] += 1\\n \\n self.do_repose(orig_y, orig_x)\\n \\n self.do_repose(new_y, new_x)\\n \\n self.write_file()\",\n \"def update_(self, k):\\n for z in range(self.sweeps_per_update):\\n new_u_grid = self.u_grid.copy()\\n new_v_grid = self.v_grid.copy()\\n for i in range(self.N):\\n for j in range(self.N):\\n\\n deltaU = (self.D1*self.dt) * (self.laplacian_(self.u_grid, i, j))\\\\\\n - self.dt * self.u_grid[i][j]*self.v_grid[i][j]**2 \\\\\\n + self.dt * self.F*(1-self.u_grid[i][j])\\n new_u_grid[i][j] += deltaU\\n deltaV = (self.D2*self.dt) * (self.laplacian_(self.v_grid, i, j))\\\\\\n + self.dt*self.u_grid[i][j]*self.v_grid[i][j]**2 \\\\\\n - self.dt*(self.F+self.k)*self.v_grid[i][j]\\n new_v_grid += deltaV\\n self.u_grid = new_u_grid.copy()\\n self.v_grid = new_v_grid.copy()\\n if self.animation:\\n self.fig.clear()\\n plt.imshow(self.u_grid, interpolation='nearest',\\n cmap='coolwarm', origin='lower')\\n plt.colorbar()\",\n \"def update(self, board):\\n for row in range(8):\\n for col in range(8):\\n if board[row, col] == -1:\\n self.circles[row][col].undraw()\\n self.circles[row][col].draw(self.win)\\n self.circles[row][col].setFill(self.piece_colors[0])\\n elif board[row, col] == -2:\\n self.circles[row][col].undraw()\\n self.circles[row][col].draw(self.win)\\n self.circles[row][col].setFill(self.piece_colors[2])\\n elif board[row, col] == 0:\\n self.circles[row][col].undraw()\\n self.pieces[row][col].setFill(self.frame_colors[(row+col)%2])\\n elif board[row, col] == 1:\\n self.circles[row][col].undraw()\\n self.circles[row][col].draw(self.win)\\n self.circles[row][col].setFill(self.piece_colors[1])\\n elif board[row, col] == 2:\\n self.circles[row][col].undraw()\\n self.circles[row][col].draw(self.win)\\n self.circles[row][col].setFill(self.piece_colors[3])\",\n \"def update(self, i, losses):\\n pass\",\n \"def update_cell_nodes(self):\\n self.cells['nodes'] = -1\\n\\n for c in range(self.Ncells()):\\n # consider two edges at a time, and find the common node\\n for i,(ja,jb) in enumerate(circular_pairs(self.cell_to_edges(c))):\\n for n in self.edges['nodes'][ja,:]: \\n if n in self.edges['nodes'][jb]:\\n self.cells['nodes'][c,i] = n\\n break\",\n \"def step(self):\\n for p, grad, v, square_grad_avg, delta_x_acc in self.params:\\n # Compute the running average of the squared gradients \\n square_grad_avg.mul_(self.rho)\\n square_grad_avg.addcmul_(grad, grad, value = 1 - self.rho)\\n # Compute the RMS of the previous squared gradients (eps to avoid numerical issues later for division)\\n std = (square_grad_avg.add_(self.eps)).sqrt_()\\n # Compute the accumulated update\\n delta_x = ((delta_x_acc.add_(self.eps)).sqrt_()) * grad / std\\n # Accumulate the updates\\n delta_x_acc.mul_(self.rho)\\n delta_x_acc.addcmul_(delta_x, delta_x, value = 1 - self.rho) \\n # Update the parameters\\n p.add_(delta_x, alpha = - self.lr)\",\n \"def updateState(self):\\n self.state = self.microgridPolicy.computeState();\",\n \"def update_cell_edges(self):\\n self.cells['edges'] = -1\\n for c in range(self.Ncells()):\\n for i,(a,b) in enumerate(circular_pairs(self.cell_to_nodes(c))):\\n self.cells['edges'][c,i] = self.nodes_to_edge(a,b)\",\n \"def update(self, grid, colRamp = ['white', 'blue']):\\n \\n # update the cell colors\\n for y in range(len(grid)):\\n yl = y + 1\\n for x in range(len(grid[y])):\\n xl = x + 1\\n color = colRamp[int(grid[y][x])]\\n self.displayWindow.update((xl, yl), color)\\n\\n # refresh the window\\n self.displayWindow.tkupdate()\",\n \"def update_grid(self):\\n if self.game_over:\\n return\\n if self.active_piece is None:\\n self.place_new_piece()\\n if self.piece_collision_exists(self.active_piece):\\n self.handle_active_piece_collision()\\n self.place_new_piece()\\n self.shift_cells(self.active_piece, self.current_direction)\\n self.active_piece = TransformPiece.shift_coordinates(self.active_piece, self.current_direction)\\n self.merge_with_completed_rows()\\n if self.is_game_won():\\n self.game_over = True\",\n \"def update(self):\\n self.board.update()\",\n \"def updateGrid(self) -> None:\\n emu = self.emulator\\n arch = self.root.arch\\n registers = arch.registers\\n self.__values.setRowCount(len(registers))\\n for i, reg in enumerate(registers):\\n self.__values.setRowHeight(i, self.__row_size)\\n name = QTableWidgetItem(reg)\\n name.setFlags(Qt.NoItemFlags)\\n val = emu.get_register_value(reg) if emu.vm else 0\\n old_val = self.__old_register_values.get(reg, 0)\\n if type(val) in (int, int):\\n value = format_address(val, arch)\\n else:\\n value = str(val)\\n value = QTableWidgetItem( value )\\n if old_val != val:\\n self.__old_register_values[reg] = val\\n value.setForeground(QColor(Qt.red))\\n value.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable | Qt.ItemIsEditable)\\n self.__values.setItem(i, 0, name)\\n self.__values.setItem(i, 1, value)\\n return\",\n \"def update1(self):\\r\\n tmp = [row.copy() for row in self.grid]\\r\\n changed = False\\r\\n for y in range(self.height):\\r\\n for x in range(self.width):\\r\\n if self.grid[y][x] == '#' and 5 <= sum(\\r\\n self.is_occupied((x + i, y + j)) for i in [-1, 0, 1] for j in [-1, 0, 1]):\\r\\n # >= 5, because we also count (x,y)\\r\\n tmp[y][x] = 'L'\\r\\n changed = True\\r\\n elif self.grid[y][x] == 'L' and self.is_available(x, y):\\r\\n tmp[y][x] = '#'\\r\\n changed = True\\r\\n else:\\r\\n tmp[y][x] = self.grid[y][x]\\r\\n self.grid = tmp\\r\\n return changed\",\n \"def update_cells(self):\\n mineboard = self.mineboard\\n gameboard = mineboard.gameboard\\n for change in mineboard.changes:\\n i, j = change[0], change[1]\\n text_val = gameboard[i][j]\\n\\n if text_val == 'M':\\n self.canvas.delete(self.cells[i][j])\\n self.cells[i][j] = self.canvas.create_image(\\n 2+j*CELLWIDTH, 2+i*CELLWIDTH, image=EXPLODED, anchor='nw')\\n self.reveal_mines(i, j)\\n\\n elif text_val == 'F':\\n self.canvas.delete(self.cells[i][j])\\n self.cells[i][j] = self.canvas.create_image(\\n 2+j*CELLWIDTH, 2+i*CELLWIDTH, image=FLAG, anchor='nw')\\n\\n elif text_val == ' ':\\n self.canvas.delete(self.cells[i][j])\\n self.cells[i][j] = self.canvas.create_rectangle(\\n 2+j*CELLWIDTH, 2+i*CELLWIDTH, (j+1)*CELLWIDTH, (i+1)*CELLWIDTH, fill=DEFAULT_COLOR, outline=\\\"\\\")\\n\\n elif text_val in ['0', '1', '2', '3', '4', '5', '6', '7', '8']:\\n self.canvas.itemconfig(\\n self.cells[i][j], fill=COLORS[int(text_val)])\\n if text_val != '0':\\n # offset here is by 12 pixels\\n self.canvas.create_text(\\n 2+j*CELLWIDTH+(CELLWIDTH-1)//2, 2+i*CELLWIDTH+(CELLWIDTH-1)//2, anchor='center', text=f\\\"{text_val}\\\")\\n\\n mineboard.changes = [] # removes previous changes\\n if mineboard.gamestate is not None:\\n # if the game has ended displays game end message and buttons\\n self.win_lose_lbl.grid(row=3, column=0, columnspan=4)\\n self.win_lose_msg.set(\\n f\\\"You {self.mineboard.gamestate}! Play again?\\\")\\n self.same_again_bttn.grid(row=4, column=0, columnspan=2)\\n self.play_again_bttn.grid(row=4, column=2, columnspan=2)\",\n \"def update(self, k):\\n for z in range(self.sweeps_per_update):\\n\\n\\n u_update = self.dt* (np.multiply(self.D1,(self.lap2D(self.u_grid))))\\\\\\n - self.dt * np.multiply(self.u_grid, np.square(self.v_grid))\\\\\\n + self.dt * self.F * (1 - self.u_grid)\\n\\n\\n v_update = self.dt*(np.multiply(self.D2,(self.lap2D(self.v_grid))))\\\\\\n + self.dt * np.multiply(self.u_grid, np.square(self.v_grid))\\\\\\n - self.dt * (self.F + self.k)*self.v_grid\\n\\n\\n self.u_grid = np.add(self.u_grid, u_update)\\n self.v_grid = np.add(self.u_grid, v_update)\\n\\n if self.animation:\\n self.fig.clear()\\n plt.xlabel(\\\"F: %.3f, dt:%.3f\\\" % (self.F, self.dt))\\n plt.imshow(self.u_grid, interpolation='nearest',\\n cmap='coolwarm', origin='lower')\\n plt.colorbar()\",\n \"def next_period_step(self):\\n self.update_forces()\\n element: Cell\\n for element in self.cells:\\n self.update_coordinates(element)\\n self.update_volosity(element)\",\n \"def test_live_cell(self, alive_cells, alive):\\n for positions in alive_cells:\\n world = gol.World(3, 3)\\n world.set_cell((0, 0))\\n for x, y in positions:\\n world.set_cell((x, y))\\n world.update()\\n assert world[(0, 0)] == alive\",\n \"def get_transition(self, row, col, action, tot_row, tot_col):\\n\\n '''\\n Expand the grid of the environment to handle when the \\n agent decides to move in the direction of a wall \\n '''\\n state_probabilities = np.zeros((int(np.sqrt(self.env.observation_space.n)) + 2, int(np.sqrt(self.env.observation_space.n)) + 2), dtype=float)\\n\\n if action == 'UP':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.33 #UP\\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\\n state_probabilities[row, col + 1] = 0.33 # RIGHT\\n state_probabilities[row + 1, col] = 0.0 #DOWN\\n elif action == 'LEFT':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.33 #UP\\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\\n state_probabilities[row, col + 1] = 0.0 # RIGHT\\n state_probabilities[row + 1, col] = 0.33 #DOWN\\n elif action == 'RIGHT':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.33 #UP\\n state_probabilities[row, col - 1 ] = 0.0 #LEFT\\n state_probabilities[row, col + 1] = 0.33 # RIGHT\\n state_probabilities[row + 1, col] = 0.33 #DOWN\\n elif action == 'DOWN':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.0 # UP\\n state_probabilities[row, col - 1] = 0.33 # LEFT\\n state_probabilities[row, col + 1] = 0.33 # RIGHT\\n state_probabilities[row + 1, col] = 0.33 # DOWN\\n\\n for row in range (0, tot_row+1):\\n if state_probabilities[row, 0] != 0:\\n state_probabilities[row, 1] += state_probabilities[row, 0]\\n elif state_probabilities[row, -1] != 0:\\n state_probabilities[row, -2] += state_probabilities[row, -1]\\n\\n for col in range (0, tot_col+1):\\n if state_probabilities[0, col] != 0:\\n state_probabilities[1, col] += state_probabilities[0, col]\\n elif state_probabilities[-1, col] != 0:\\n state_probabilities[-2, col] += state_probabilities[-1, col]\\n\\n return state_probabilities[1: 1+tot_row, 1:1+tot_col]\",\n \"def get_transition(self, row, col, action, tot_row, tot_col):\\n\\n '''\\n Expand the grid of the environment to handle when the \\n agent decides to move in the direction of a wall \\n '''\\n state_probabilities = np.zeros((int(np.sqrt(self.env.observation_space.n)) + 2, int(np.sqrt(self.env.observation_space.n)) + 2), dtype=float)\\n\\n if action == 'UP':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.33 #UP\\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\\n state_probabilities[row, col + 1] = 0.33 # RIGHT\\n state_probabilities[row + 1, col] = 0.0 #DOWN\\n elif action == 'LEFT':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.33 #UP\\n state_probabilities[row, col - 1 ] = 0.33 #LEFT\\n state_probabilities[row, col + 1] = 0.0 # RIGHT\\n state_probabilities[row + 1, col] = 0.33 #DOWN\\n elif action == 'RIGHT':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.33 #UP\\n state_probabilities[row, col - 1 ] = 0.0 #LEFT\\n state_probabilities[row, col + 1] = 0.33 # RIGHT\\n state_probabilities[row + 1, col] = 0.33 #DOWN\\n elif action == 'DOWN':\\n row += 1\\n col += 1\\n state_probabilities[row - 1, col] = 0.0 # UP\\n state_probabilities[row, col - 1] = 0.33 # LEFT\\n state_probabilities[row, col + 1] = 0.33 # RIGHT\\n state_probabilities[row + 1, col] = 0.33 # DOWN\\n\\n for row in range (0, tot_row+1):\\n if state_probabilities[row, 0] != 0:\\n state_probabilities[row, 1] += state_probabilities[row, 0]\\n elif state_probabilities[row, -1] != 0:\\n state_probabilities[row, -2] += state_probabilities[row, -1]\\n\\n for col in range (0, tot_col+1):\\n if state_probabilities[0, col] != 0:\\n state_probabilities[1, col] += state_probabilities[0, col]\\n elif state_probabilities[-1, col] != 0:\\n state_probabilities[-2, col] += state_probabilities[-1, col]\\n\\n return state_probabilities[1: 1+tot_row, 1:1+tot_col]\",\n \"def gameOfLife(self, board) -> None:\\n changelist = []\\n for i in range(len(board)):\\n for j in range(len(board[0])):\\n if self.ischange(i, j, board):\\n changelist.append([i, j])\\n\\n for x, y in changelist:\\n board[x][y] = ~board[x][y] + 2\",\n \"def update(self):\\n self._state = 23\",\n \"def update(self,dt):\\n t1 = time()\\n\\n if SPLIT:\\n self.check_refine()\\n if AMALGAMATE:\\n self.check_amalg(self.nl_default)\\n\\n t = time()\\n self.rebuild_lists()\\n self.timing['nlist rebuild time'] = time() - t\\n\\n # Is this derivative step required?\\n t = time()\\n self.derivatives()\\n self.timing['deriv time'] = time() - t\\n \\n t = time()\\n self.step(self.gather_state,self.derivatives, \\\\\\n self.gather_derivatives,self.scatter_state,dt)\\n self.timing['integrate time'] = time() - t\\n \\n self.box.apply(self)\\n\\n if self.thermostat:\\n self.apply_thermostat(self.thermostat_temp)\\n \\n self.timing['update time'] = time() - t1\\n self.steps += 1\",\n \"def __init__(self):\\n pygame.init()\\n self.settings = Settings()\\n self.number_cells_x = int(input(\\\"Enter number of cells in a row: \\\"))\\n self.cell_width = float(self.settings.screen_width // self.number_cells_x)\\n #print(self.cell_width)\\n self.number_cells_y = int(self.settings.screen_height // self.cell_width)\\n\\n self.screen = pygame.display.set_mode((self.settings.screen_width,self.settings.screen_height))\\n pygame.display.set_caption(\\\"Game of Life\\\")\\n\\n self.cells = []\\n self.to_be_updated = []\\n self._create_cells()\\n\\n self.bg_colour = (self.settings.bg_colour)\\n self.waiting = True\",\n \"def advance_generation(self):\\n self.generation += 1\\n next_cells = [[self.cell_state['dead']] * self.cols for x in range(self.lines)]\\n for i in range(self.lines):\\n for j in range(self.cols):\\n neighbors = self.get_neighbors(i, j)\\n if self[i][j] == self.cell_state['alive']:\\n if neighbors == 2 or neighbors == 3:\\n next_cells[i][j] = self.cell_state['alive']\\n elif self[i][j] == self.cell_state['dead']:\\n if neighbors == 3:\\n next_cells[i][j] = self.cell_state['alive']\\n super().__init__(next_cells)\",\n \"def _simulate_all_cells(self):\\n for ID in tqdm(self.condition_dict, desc='Simulating cells'):\\n for n in range(len(self.condition_dict[ID])):\\n cond_dict = self.condition_dict[ID][n]\\n g, tc, rsh_mult, rs_mult, Io_mult, Il_mult, nnsvth_mult = cond_dict['E'], cond_dict['Tc'], cond_dict[\\n 'Rsh_mult'], cond_dict['Rs_mult'], cond_dict['Io_mult'], cond_dict['Il_mult'], cond_dict['nnsvth_mult']\\n # calculate the 5 parameters for each set of cell conditions\\n\\n # Eventually, replace this with derived 5-parameters\\n iph, io, rs, rsh, nnsvth = pvlib.pvsystem.calcparams_cec(effective_irradiance=g, temp_cell=tc,\\n alpha_sc=self.cell_parameters['alpha_sc'],\\n a_ref=self.cell_parameters['a_ref'],\\n I_L_ref=self.cell_parameters['I_L_ref'],\\n I_o_ref=self.cell_parameters['I_o_ref'],\\n R_sh_ref=self.cell_parameters['R_sh_ref'],\\n R_s=self.cell_parameters['R_s'],\\n Adjust=self.cell_parameters['Adjust'])\\n rs, rsh, io, iph, nnsvth = rs * rs_mult, rsh * \\\\\\n rsh_mult, io * Io_mult, iph * Il_mult, nnsvth * nnsvth_mult\\n\\n # calculate cell IV curves by condition, rather than by cell index\\n voc_est = pvlib.singlediode.estimate_voc(iph, io, nnsvth)\\n v = voltage_pts(self.num_points_in_IV, voc_est,\\n self.module_parameters['breakdown_voltage'])\\n i = pvlib.singlediode.bishop88_i_from_v(v, iph, io, rs, rsh, nnsvth,\\n breakdown_factor=self.module_parameters['breakdown_factor'],\\n breakdown_voltage=self.module_parameters[\\n 'breakdown_voltage'],\\n breakdown_exp=self.module_parameters['breakdown_exp'])\\n\\n # @dev: Uncomment if debugging pvlib bishop88 simulation results\\n # plt.plot(v,i)\\n # plt.xlim(-5,v[-1])\\n # plt.ylim(0,iph+1)\\n # plt.title(f\\\"{ID}: {n} :: {rs},\\\"\\n # f\\\"{rsh}, {io}, {iph}, {nnsvth}\\\")\\n # plt.show()\\n\\n self.condition_dict[ID][n]['V'] = v\\n self.condition_dict[ID][n]['I'] = i\\n self.condition_dict[ID][n]['E'] = g\\n self.condition_dict[ID][n]['Tc'] = tc\\n return\",\n \"def update_E(self):\",\n \"def solve(self):\\n dim = self.puzzle.dimension\\n\\n # initial loop\\n for value, (row, col) in self.puzzle:\\n if value:\\n self.clear_row(row, value)\\n self.clear_col(col, value)\\n self.clear_subgrid(row, col, value)\\n self.updates.add((value, (row, col)))\\n for ps in self.possibilities:\\n ps.discard((row, col))\\n\\n while self.updates:\\n while self.updates:\\n # while self.updates:\\n value, (row, col) = self.updates.pop()\\n for i in range(1, dim + 1):\\n self.check_row(i, value)\\n self.check_col(i, value)\\n for i in range(2, 8, 3):\\n self.check_subgrid(row, i, value)\\n self.check_subgrid(i, col, value)\\n\\n for value, (row, col) in self.puzzle:\\n if not value:\\n self.check_cell(row, col)\\n\\n # for value in range(1, dim + 1):\\n # for row in [2, 5, 8]:\\n # for col in [2, 5, 8]:\\n # self.check_subgrid(row, col, value)\",\n \"def process_cell(self, neighbourhood: List[Cell], old_cell: Cell) -> Cell:\",\n \"def update(self):\\n for player in self.players:\\n player.update()\\n player.last_seen = player.current_cell\\n\\n self.in_cell()\\n for player in self.players:\\n if player.current_cell != player.last_seen:\\n self.player_paths.add(player.last_seen)\\n #If the player has left a cell and moved into another, the vacated cell is\\n #added to the list of cells that have been hit\\n if player.current_cell in self.player_paths:\\n self.players.remove(player)\\n player.alive = False\\n if len(self.players) == 1:\\n self.end_game(self.players[0].name,self.players[0].color)\",\n \"def advance(self):\\n count = [[0 for col in range(self.width+2)] for row in range(self.height+2)]\\n for y in range(1, self.height+1):\\n for x in range(1, self.width+1):\\n if self.array[y][x]:\\n count[y][x-1] += 1\\n count[y][x+1] += 1\\n count[y-1][x-1] += 1\\n count[y-1][x] += 1\\n count[y-1][x+1] += 1\\n count[y+1][x-1] += 1\\n count[y+1][x] += 1\\n count[y+1][x+1] += 1\\n for y in range(1, self.height+1):\\n for x in range(1, self.width+1):\\n if count[y][x] == 3:\\n self.array[y][x] = 1\\n elif count[y][x] == 2 and self.array[y][x]:\\n self.array[y][x] = 1\\n else:\\n self.array[y][x] = 0\\n self.array[1][1] = 1\\n self.array[1][self.width] = 1\\n self.array[self.height][self.width] = 1\\n self.array[self.height][1] = 1\",\n \"def apply(self, simulation):\\n t = simulation.time\\n dt = simulation.timeStep\\n if main_rank == 0:\\n simulation.printState()\\n # OpenCL update\\n self.numMethod(self.gpu_field.gpu_data[self.component],\\n self.color)\\n self.window.widget.updateGL()\\n if simulation.currentIteration > 1:\\n self.window.label.setText(\\n self.labelText + \\\"t={0:6.2f}, fps={1:6.2f}\\\".format(\\n t + dt,\\n 1. / (self.timer.f_timers.values()[0].t - self.ctime)))\\n self.ctime = self.timer.f_timers.values()[0].t\",\n \"def update_eligs(self, *args):\\n self.splitGD.update_eligs()\",\n \"def update_eligs(self, *args):\\n self.splitGD.update_eligs()\",\n \"def generate_nodes(self):\\n \\n # For all state nodes\\n node = 0\\n \\n for i in range(self.x0_n):\\n for j in range(self.x1_n):\\n \\n # State\\n x = np.array([ self.xd[0][i] , self.xd[1][j] ])\\n \\n # State and grid index based on node #\\n self.nodes_state[node,:] = x\\n self.nodes_index[node,:] = np.array([i,j])\\n \\n # Node # based on index ij\\n self.x_grid2node[i,j] = node\\n\\n # Increment node number\\n node = node + 1\",\n \"def update2(self):\\r\\n tmp = [row.copy() for row in self.grid]\\r\\n changed = False\\r\\n for y in range(self.height):\\r\\n for x in range(self.width):\\r\\n count = sum(self.see_occupant(x, y, i, j) for i in [-1, 0, 1] for j in [-1, 0, 1])\\r\\n if self.grid[y][x] == '#' and count >= 5:\\r\\n tmp[y][x] = 'L'\\r\\n changed = True\\r\\n elif self.grid[y][x] == 'L' and count == 0:\\r\\n tmp[y][x] = '#'\\r\\n changed = True\\r\\n else:\\r\\n tmp[y][x] = self.grid[y][x]\\r\\n self.grid = tmp\\r\\n return changed\",\n \"def updateGameState(self):\\n boardArray = self._board.get_board()\\n \\n if self.state is self._BEGIN:\\n\\n for i in [1, self._board.get_board_size() - 2]:\\n for j in range(1, self._board.get_board_size() - 1):\\n\\n if boardArray[i][j] != self._board._EMPTY:\\n self.state = self._MIDDLE\\n return\\n\\n if boardArray[j][i] != self._board._EMPTY:\\n self.state = self._MIDDLE\\n return\\n\\n\\n elif self.state is self._MIDDLE:\\n nbPieces = self._board.get_total_pieces()\\n\\n if nbPieces >= self._board.get_board_size()**2 - ENDGAME:\\n self.state = self._END\\n return\",\n \"def evolve(tiles, epochs):\\n for _ in range(epochs):\\n tiles = update_floor(tiles)\\n return tiles\",\n \"def game_updated(self):\\n\\n # replace with your game updated logic\\n self.update_board()\",\n \"def postSI(self):\\n # for cell in self.cells:\\n # cell.resetTotOrdFlux()\\n self.depth = 0\",\n \"def calcUpdateByRows(self, rows):\\n\\n delta_w, delta_hb, delta_vb = \\\\\\n zeros((self.rbm.visibleDim, self.rbm.hiddenDim)), \\\\\\n zeros(self.rbm.hiddenDim), zeros(self.rbm.visibleDim)\\n\\n for row in rows:\\n dw, dhb, dvb = self.calcUpdateByRow(row)\\n delta_w += dw\\n delta_hb += dhb\\n delta_vb += dvb\\n\\n delta_w /= len(rows)\\n delta_hb /= len(rows)\\n delta_vb /= len(rows)\\n\\n # !!! note that this delta is only the 'theoretical' delta\\n return delta_w, delta_hb, delta_vb\",\n \"def updateNodeStates (self,listAtoms):\\r\\n \\r\\n for i in range(len(listAtoms)):\\r\\n for j in range(len(listAtoms[i].nodeArray)):\\r\\n self.mol[i].nodeArray[j].state = listAtoms[i].nodeArray[j].state\",\n \"def run_all(self):\\n # print(\\\"running all nodes\\\")\\n executed = set()\\n node_update_states = {node: node.block_updates for node in self.flow_view.node_items}\\n\\n def traverse_upwards(node):\\n # Traverse upwards to the top of data flow graph\\n if node in executed:\\n return\\n for port in node.inputs:\\n for connection in port.connections:\\n traverse_upwards(connection.out.node)\\n # print(\\\"executing\\\", node)\\n node.update_event()\\n executed.add(node)\\n\\n for node in self.flow_view.node_items:\\n node.block_updates = True\\n\\n for node in self.flow_view.node_items:\\n traverse_upwards(node)\\n\\n for node in self.flow_view.node_items:\\n node.block_updates = node_update_states[node]\\n # print(\\\"All nodes executed\\\")\",\n \"def restart(self):\\n self.grid = np.zeros((3, 3), dtype=int)\\n self.state = 0\",\n \"def next_state_of_cell(self, x_cell, y_cell):\\n neighbours = self.get_number_neighbours_of_cell(x_cell, y_cell)\\n if(self.board_state[x_cell][y_cell] == 1):\\n # Any live cell with more than three live neighbours dies, \\n # as if by overpopulation.\\n if(neighbours > 3):\\n return 0\\n # Any live cell with fewer than two live neighbours dies,\\n # as if by underpopulation.\\n elif(neighbours < 2):\\n return 0\\n # Any live cell with two or three live neighbours lives\\n # on to the next generation.\\n else:\\n return 1\\n if(self.board_state[x_cell][y_cell] == 0):\\n # Any dead cell with exactly three live neighbours becomes a live cell, \\n # as if by reproduction.\\n if(neighbours == 3):\\n return 1\\n else:\\n return 0\",\n \"def _update_loc(self) -> None:\\n self.state[:, :, Boids.Attr.LOC] += self.state[:, :, Boids.Attr.VEL]\\n # wrap-around the simulated environment\\n self.state[:, :, Boids.Attr.LOC] %= np.expand_dims(self.env_bounds, axis=1)\",\n \"def update_totals(self):\\n # Reset counts to 0\\n self.total_f = self.total_s = self.total_intra = self.total_mac_regular = self.total_mac_infected = \\\\\\n self.total_mac_activated = self.total_regular_fast = self.total_regular_slow = self.total_infected_fast = \\\\\\n self.total_infected_slow = self.total_activated_fast = self.total_activated_slow = self.total_f_degree = \\\\\\n self.total_s_degree = self.total_activation = 0\\n self.total_f_o2 = self.total_s_o2 = 0.0\\n\\n for node in self.node_list.values():\\n # Get values from node\\n fast_in_node = node.subpopulations[BACTERIA_FAST]\\n slow_in_node = node.subpopulations[BACTERIA_SLOW]\\n intra_in_node = node.subpopulations[BACTERIA_INTRACELLULAR]\\n reg_mac_in_node = node.subpopulations[MACROPHAGE_REGULAR]\\n inf_mac_in_node = node.subpopulations[MACROPHAGE_INFECTED]\\n act_mac_in_node = node.subpopulations[MACROPHAGE_ACTIVATED]\\n degree = node.degree\\n o2_tens = node.oxygen_tension\\n # Update relevant totals\\n self.total_f += fast_in_node\\n self.total_s += slow_in_node\\n self.total_intra += intra_in_node\\n self.total_mac_regular += reg_mac_in_node\\n self.total_mac_infected += inf_mac_in_node\\n self.total_mac_activated += act_mac_in_node\\n self.total_regular_fast += fast_in_node * reg_mac_in_node\\n self.total_regular_slow += slow_in_node * reg_mac_in_node\\n self.total_infected_fast += fast_in_node * inf_mac_in_node\\n self.total_infected_slow += slow_in_node * inf_mac_in_node\\n self.total_activated_fast += fast_in_node * act_mac_in_node\\n self.total_activated_slow += slow_in_node * act_mac_in_node\\n # TODO - check usage of degree\\n self.total_f_degree += fast_in_node * degree\\n self.total_s_degree += slow_in_node * degree\\n self.total_f_o2 += fast_in_node * (1/o2_tens)\\n self.total_s_o2 += slow_in_node * o2_tens\\n self.total_activation += reg_mac_in_node * inf_mac_in_node\",\n \"def calculateState (self):\\r\\n newState = 0\\r\\n # print (\\\"Inside state function the states DNs are: \\\\n\\\")\\r\\n # print (\\\"Before starting \\\\n\\\")\\r\\n self.stateDanglingNodes()\\r\\n #for i in range(len(self.metaSpikes)):\\r\\n # if self.metaSpikes[i].typeSpike == 1:\\r\\n # print (\\\"Meta atom number is: \\\" + str(self.atomNumber) + \\\"\\\\n\\\")\\r\\n \\r\\n insideMetState = []\\r\\n # To calculate the state we need to update every atom the metaatom consistrs off then see\\r\\n # the states of every dangling node in the metaspikes\\r\\n for i in range(len(self.metaSpikes)):\\r\\n if self.metaSpikes[i].typeSpike == 1:\\r\\n #print (\\\"Inside type 1 \\\\n\\\")\\r\\n #print (\\\"Number of type 1 nodes: \\\" + str(len(self.metaSpikes[i].danglingNodeList)) + \\\"\\\\n\\\")\\r\\n for j in range(len(self.metaSpikes[i].danglingNodeList)):\\r\\n insideMetState.append(self.metaSpikes[i].danglingNodeList[j].state)\\r\\n if self.metaSpikes[i].danglingNodeList[j].state == 1:\\r\\n # print (\\\"Adding one \\\\n\\\" )\\r\\n newState += 1\\r\\n else:\\r\\n # print (\\\"Subracting one \\\\n\\\")\\r\\n newState -= 1\\r\\n else:\\r\\n \\r\\n # print (\\\"Inside type 2 \\\\n\\\")\\r\\n # print (\\\"Number od type 1 tales: \\\" + str(len(self.metaSpikes[i].danglingTailList)) + \\\"\\\\n\\\")\\r\\n for j in range(len(self.metaSpikes[i].danglingTailList)):\\r\\n #print (\\\"Size of tail: \\\" + str(len(self.metaSpikes[i].danglingTailList[j].nodeList)) + \\\"\\\\n\\\")\\r\\n for k in range(len(self.metaSpikes[i].danglingTailList[j].nodeList)):\\r\\n insideMetState.append(self.metaSpikes[i].danglingTailList[j].nodeList[k].state)\\r\\n if self.metaSpikes[i].danglingTailList[j].nodeList[k].state == 1:\\r\\n newState += 1\\r\\n else:\\r\\n newState -= 1 \\r\\n \\r\\n # print (\\\"The state of analysed nodes: \\\\n\\\" + str(insideMetState) + \\\"\\\\n\\\")\\r\\n # print (\\\"The length of analysed nodes: \\\\n\\\" + str(len(insideMetState)) + \\\"\\\\n\\\")\\r\\n # print (\\\"The new state is: \\\" + str(newState) + \\\"\\\\n\\\") \\r\\n self.state = newState\",\n \"def update_gol(arr):\\n nxt = np.zeros(arr.shape)\\n rows,cols = nxt.shape\\n for i in range(rows):\\n for j in range(cols):\\n nn = sum_vonneuman_nn(arr,i,j)\\n if arr[i][j]==1:\\n if nn==2 or nn==3:\\n nxt[i][j]=1\\n else:\\n if nn==3:\\n nxt[i][j]=1\\n return nxt\",\n \"def update_nodes(self):\\n raise NotImplementedError('ERROR: sweeper has to implement update_nodes(self)')\",\n \"def gameOfLife(self, board: List[List[int]]) -> None:\\r\\n self.board = board\\r\\n self.l = len(board)\\r\\n self.w = len(board[0])\\r\\n status = [[0] * self.w for _ in range(self.l)]\\r\\n for i in range(self.l):\\r\\n for j in range(self.w):\\r\\n status[i][j] = self.statusUpdate(board[i][j], self.countLivingNeighbor([i, j]))\\r\\n #print(\\\"prev: \\\", i, j ,board[i][j], \\\" count: \\\", self.countLivingNeighbor([i, j]), \\\" after:\\\", status[i][j])\\r\\n for i in range(self.l):\\r\\n for j in range(self.w):\\r\\n board[i][j] = status[i][j]\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7286067","0.70985454","0.65855974","0.64528495","0.6422918","0.62100416","0.62099385","0.61870646","0.6159121","0.6139433","0.6139193","0.60986966","0.6086777","0.60648525","0.6041667","0.6039886","0.6037677","0.60304636","0.60248035","0.6021954","0.60099727","0.60075694","0.5957885","0.59571236","0.5940554","0.5927069","0.59141165","0.5886752","0.58788395","0.58729833","0.5853038","0.5844393","0.5840988","0.58341783","0.58258003","0.58023655","0.5801479","0.5801434","0.5797384","0.57925636","0.57830393","0.57801676","0.57595706","0.5752709","0.57503414","0.5743127","0.5735555","0.5732149","0.57297033","0.57183707","0.5688037","0.56840676","0.56813234","0.5674297","0.5672256","0.56708246","0.5663088","0.56508625","0.5648941","0.56333303","0.56256133","0.5617856","0.56135595","0.5610449","0.5593113","0.55861515","0.5581377","0.5580037","0.5580037","0.55787176","0.5573189","0.55639035","0.5561671","0.55570734","0.5541345","0.5527852","0.55260354","0.55246854","0.5510451","0.5505619","0.55040735","0.5500872","0.5500872","0.5496566","0.54943955","0.54940236","0.5491125","0.5490923","0.54796857","0.54510534","0.5448135","0.5447642","0.54331785","0.54301775","0.5428466","0.5427429","0.54269207","0.5426111","0.54239196","0.5422144"],"string":"[\n \"0.7286067\",\n \"0.70985454\",\n \"0.65855974\",\n \"0.64528495\",\n \"0.6422918\",\n \"0.62100416\",\n \"0.62099385\",\n \"0.61870646\",\n \"0.6159121\",\n \"0.6139433\",\n \"0.6139193\",\n \"0.60986966\",\n \"0.6086777\",\n \"0.60648525\",\n \"0.6041667\",\n \"0.6039886\",\n \"0.6037677\",\n \"0.60304636\",\n \"0.60248035\",\n \"0.6021954\",\n \"0.60099727\",\n \"0.60075694\",\n \"0.5957885\",\n \"0.59571236\",\n \"0.5940554\",\n \"0.5927069\",\n \"0.59141165\",\n \"0.5886752\",\n \"0.58788395\",\n \"0.58729833\",\n \"0.5853038\",\n \"0.5844393\",\n \"0.5840988\",\n \"0.58341783\",\n \"0.58258003\",\n \"0.58023655\",\n \"0.5801479\",\n \"0.5801434\",\n \"0.5797384\",\n \"0.57925636\",\n \"0.57830393\",\n \"0.57801676\",\n \"0.57595706\",\n \"0.5752709\",\n \"0.57503414\",\n \"0.5743127\",\n \"0.5735555\",\n \"0.5732149\",\n \"0.57297033\",\n \"0.57183707\",\n \"0.5688037\",\n \"0.56840676\",\n \"0.56813234\",\n \"0.5674297\",\n \"0.5672256\",\n \"0.56708246\",\n \"0.5663088\",\n \"0.56508625\",\n \"0.5648941\",\n \"0.56333303\",\n \"0.56256133\",\n \"0.5617856\",\n \"0.56135595\",\n \"0.5610449\",\n \"0.5593113\",\n \"0.55861515\",\n \"0.5581377\",\n \"0.5580037\",\n \"0.5580037\",\n \"0.55787176\",\n \"0.5573189\",\n \"0.55639035\",\n \"0.5561671\",\n \"0.55570734\",\n \"0.5541345\",\n \"0.5527852\",\n \"0.55260354\",\n \"0.55246854\",\n \"0.5510451\",\n \"0.5505619\",\n \"0.55040735\",\n \"0.5500872\",\n \"0.5500872\",\n \"0.5496566\",\n \"0.54943955\",\n \"0.54940236\",\n \"0.5491125\",\n \"0.5490923\",\n \"0.54796857\",\n \"0.54510534\",\n \"0.5448135\",\n \"0.5447642\",\n \"0.54331785\",\n \"0.54301775\",\n \"0.5428466\",\n \"0.5427429\",\n \"0.54269207\",\n \"0.5426111\",\n \"0.54239196\",\n \"0.5422144\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.65298665"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":1496,"cells":{"query":{"kind":"string","value":"Compute the final grid at given number of steps"},"document":{"kind":"string","value":"def grid_frame(self, steps, figure_size=(12, 12)):\r\n\r\n x = self.seed\r\n counts = []\r\n for n in np.arange(0, steps):\r\n x, stats = self.update_grid(x)\r\n counts.append(stats)\r\n\r\n counts = np.array(counts)\r\n\r\n fig, ax = plt.subplots(figsize=figure_size)\r\n ax.get_xaxis().set_visible(False)\r\n ax.get_yaxis().set_visible(False)\r\n color_map = matplotlib.colors.ListedColormap(['white', 'black'])\r\n img = plt.imshow(x, interpolation='nearest', cmap=color_map)\r\n img.axes.grid(False)\r\n plt.title(self.title + ' | Step ' + str(steps))\r\n plt.show()\r\n\r\n return x, counts"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def grid_traveller(m: int, n: int):\n\n if m == 1 and n == 1:\n return 1\n if m == 0 or n == 0:\n return 0\n return grid_traveller(m - 1, n) + grid_traveller(m, n - 1)","def recursion_loop(pulls, discount, grid_n):\n\n r_grid = np.linspace(0, 1, grid_n)\n gittins, values = initial_approximation(pulls, discount, grid_n)\n n = pulls - 2 # Note that the 2 comes from (1) the initial approximation and (2) python indexing\n while n >= 1:\n g, v = recursion_step(values[:n + 1, n, :], r_grid, discount)\n values[:n, n - 1] = v\n gittins[:n, n - 1] = g\n n -= 1\n return gittins, values","def final_coord(steps):\n return reduce(add, steps, (0, 0))","def get_next_steps(self, steps):\n for step in range(steps):\n # Actual calulation: Runge-Kutta 2\n\n # Step 1\n k1 = [\n self.vel * self.dt,\n self.get_next_acc() * self.dt\n ]\n\n # Step 2\n next_pos = self.pos + k1[0] * 0.5\n next_vel = self.vel + k1[1] * 0.5\n self.disps, self.dists = self.get_relative_distances(positions=next_pos)\n k2 = [\n next_vel * self.dt,\n self.get_next_acc(save=False) * self.dt\n ]\n\n # Step 3\n next_pos = self.pos + k2[0] * 0.5\n next_vel = self.vel + k2[1] * 0.5\n self.disps, self.dists = self.get_relative_distances(positions=next_pos)\n k3 = [\n next_vel * self.dt,\n self.get_next_acc(save=False) * self.dt\n ]\n\n # Step 4\n next_pos = self.pos + k3[0]\n next_vel = self.vel + k3[1]\n self.disps, self.dists = self.get_relative_distances(positions=next_pos)\n k4 = [\n next_vel * self.dt,\n self.get_next_acc(save=False) * self.dt\n ]\n\n # Move forward\n self.pos = self.pos + 1/6 * (k1[0] + 2*k2[0] + 2*k3[0] + k4[0])\n self.vel = self.vel + 1/6 * (k1[1] + 2*k2[1] + 2*k3[1] + k4[1])\n\n # Saving of statistics\n self.save_system_information(self.pos, self.vel)","def grid_step(self, axis):\n if self.sizes[axis] != 1:\n return (self.bounds[axis][1] - self.bounds[axis][0]) / (self.sizes[axis] - 1)","def dynamic_programming_path_counter(grid_size):\n G = [1] * grid_size\n for i in range(grid_size):\n for j in range(i):\n G[j] = G[j] + G[j-1]\n G[i] = 2 * G[i - 1]\n return G[grid_size - 1]","def total_steps(self) -> global___Expression:","def echelon_with_steps(self):\n new_value = [self.matrix[i] + [self.result[i]] for i in range(len(self.matrix))]\n\n # Loop through each row\n print(\"Step begin here\")\n for i, current in enumerate(new_value):\n\n # Check if it's a potential pivot\n if i < len(new_value) - 1:\n\n # Elimate all in the same column beside the pivot\n for j in range(i + 1, len(new_value)):\n coef = new_value[j][i] / current[i]\n new_value[j] = minus(new_value[j], times(coef, current))\n\n # printing the grid in 2D\n for row in new_value:\n print(row)\n print(\"vvvvvvv\")\n return new_value","def figure_out_grid(tot):\n guess = np.round(np.sqrt(tot))\n\n dims = [guess,guess]\n\n flag = True\n\n while(flag):\n if dims[0]*dims[1] < tot:\n dims[0] += 1\n flag = True\n elif dims[0]*dims[1] >tot and dims[0]*dims[1] <(tot-dims[1]):\n dims[0] -= 1\n flag = True\n else:\n flag = False\n return tuple(dims)","def gen_grids(self):\n self.dx = self.grid_width / self.grid_resol\n self.dk = 2 * np.pi/self.grid_width\n self.grid_x_shifted = -self.grid_width/2 + self.dx * np.arange(0, self.grid_resol)\n self.grid_x = self.grid_x_shifted + self.grid_center\n self.grid_k = - (np.pi * self.grid_resol)/self.grid_width + self.dk * np.arange(0, self.grid_resol)\n self.grid_k = np.roll(self.grid_k, int((self.grid_resol)/2))\n self.grid_kin = np.square(self.h)/ (2*self.m) * np.square(self.grid_k)","def create_grids(self):\n \n par = self.par\n\n # a. retirement\n \n # pre-decision states\n par.grid_m_ret = nonlinspace(par.eps,par.m_max_ret,par.Nm_ret,par.phi_m)\n par.Nmcon_ret = par.Nm_ret - par.Na_ret\n \n # post-decision states\n par.grid_a_ret = nonlinspace(0,par.a_max_ret,par.Na_ret,par.phi_m)\n \n # b. working: state space (m,n,k) \n par.grid_m = nonlinspace(par.eps,par.m_max,par.Nm,par.phi_m)\n\n par.Nn = par.Nm\n par.n_max = par.m_max + par.n_add\n par.grid_n = nonlinspace(0,par.n_max,par.Nn,par.phi_n)\n\n par.grid_n_nd, par.grid_m_nd = np.meshgrid(par.grid_n,par.grid_m,indexing='ij')\n\n # c. working: w interpolant (and wa and wb and wq)\n par.Na_pd = np.int_(np.floor(par.pd_fac*par.Nm))\n par.a_max = par.m_max + par.a_add\n par.grid_a_pd = nonlinspace(0,par.a_max,par.Na_pd,par.phi_m)\n \n par.Nb_pd = np.int_(np.floor(par.pd_fac*par.Nn))\n par.b_max = par.n_max + par.b_add\n par.grid_b_pd = nonlinspace(0,par.b_max,par.Nb_pd,par.phi_n)\n \n par.grid_b_pd_nd, par.grid_a_pd_nd = np.meshgrid(par.grid_b_pd,par.grid_a_pd,indexing='ij')\n \n # d. working: egm (seperate grids for each segment)\n \n if par.solmethod == 'G2EGM':\n\n # i. dcon\n par.d_dcon = np.zeros((par.Na_pd,par.Nb_pd),dtype=np.float_,order='C')\n \n # ii. acon\n par.Nc_acon = np.int_(np.floor(par.Na_pd*par.acon_fac))\n par.Nb_acon = np.int_(np.floor(par.Nb_pd*par.acon_fac))\n par.grid_b_acon = nonlinspace(0,par.b_max,par.Nb_acon,par.phi_n)\n par.a_acon = np.zeros(par.grid_b_acon.shape)\n par.b_acon = par.grid_b_acon\n\n # iii. con\n par.Nc_con = np.int_(np.floor(par.Na_pd*par.con_fac))\n par.Nb_con = np.int_(np.floor(par.Nb_pd*par.con_fac))\n \n par.grid_c_con = nonlinspace(par.eps,par.m_max,par.Nc_con,par.phi_m)\n par.grid_b_con = nonlinspace(0,par.b_max,par.Nb_con,par.phi_n)\n\n par.b_con,par.c_con = np.meshgrid(par.grid_b_con,par.grid_c_con,indexing='ij')\n par.a_con = np.zeros(par.c_con.shape)\n par.d_con = np.zeros(par.c_con.shape)\n \n elif par.solmethod == 'NEGM':\n\n par.grid_l = par.grid_m\n\n # e. shocks\n assert (par.Neta == 1 and par.var_eta == 0) or (par.Neta > 1 and par.var_eta > 0)\n\n if par.Neta > 1:\n par.eta,par.w_eta = log_normal_gauss_hermite(np.sqrt(par.var_eta), par.Neta)\n else:\n par.eta = np.ones(1)\n par.w_eta = np.ones(1)\n\n # f. timings\n par.time_work = np.zeros(par.T)\n par.time_w = np.zeros(par.T)\n par.time_egm = np.zeros(par.T)\n par.time_vfi = np.zeros(par.T)","def gridgen4(num_points, diameter, min_dist, n_miss_max=10000):\n\n # Grid size and scaling onto the grid\n grid_size = min(100, int(floor(float(diameter) / min_dist)))\n grid_cell = float(diameter) / grid_size # Grid sector cell size\n scale = 1.0 / grid_cell # Scaling onto the sector grid.\n print('- Grid size: %i' % grid_size)\n print('- Grid cell: %f' % grid_cell)\n\n r = diameter / 2.0 # Radius\n r_sq = r**2 # Radius, squared\n min_dist_sq = min_dist**2 # minimum distance, squared\n\n # Pre-allocate coordinate arrays\n x = numpy.zeros(num_points)\n y = numpy.zeros(num_points)\n\n # Grid meta-data\n next = numpy.zeros(num_points, dtype='i8') # Next coordinate index.\n h1 = -numpy.ones((grid_size, grid_size), dtype='i8') # First index in the grid\n h2 = -numpy.ones((grid_size, grid_size), dtype='i8') # Last index in the grid\n grid_count = numpy.zeros((grid_size, grid_size), dtype='i8') # Points in grid cell.\n\n n = num_points\n n_req = num_points\n num_miss = 0\n for j in range(n_req):\n\n # First time no need to check the minimum distance req, just needs\n # to be inside the diameter.\n if j == 0:\n done = False\n while not done:\n x[j], y[j] = get_trail_position(r)\n done = (x[j]**2 + y[j]**2) <= r_sq\n jx, jy = grid_position(x[j], y[j], scale, r)\n grid_count[jx, jy] += 1\n h1[jx, jy] = 0\n h2[jx, jy] = 0\n\n # All other points have to be inside the diameter and match the\n # minimum separation requirements.\n else:\n done = False\n while not done:\n xt, yt = get_trail_position(r)\n\n # Check if the point is inside the diameter\n if (xt**2 + yt**2) > r_sq:\n num_miss += 1\n else:\n # Scale onto grid.\n jx, jy = grid_position(xt, yt, scale, r)\n # Find minimum distance to other points\n y0 = max(0, jy - 1)\n y1 = min(grid_size - 1, jy + 1)\n x0 = max(0, jx - 1)\n x1 = min(grid_size - 1, jx + 1)\n dmin_sq = diameter\n for ky in range(y0, y1 + 1):\n for kx in range(x0, x1 + 1):\n if grid_count[kx, ky] > 0:\n kh1 = h1[kx, ky]\n for kh in range(grid_count[kx, ky]):\n dx = xt - x[kh1]\n dy = yt - y[kh1]\n dist_sq = dx**2 + dy**2\n dmin_sq = min(dist_sq, dmin_sq)\n kh1 = next[kh1]\n\n # Check if the minimum distance requirement is met.\n if dmin_sq >= min_dist_sq:\n x[j] = xt\n y[j] = yt\n if h1[jx, jy] == -1:\n h1[jx, jy] = j\n else:\n next[h2[jx, jy]] = j\n h2[jx, jy] = j\n grid_count[jx, jy] += 1\n num_miss = 0\n done = True\n else:\n num_miss += 1\n\n if num_miss >= n_miss_max:\n n = j - 1\n done = True\n\n if num_miss >= n_miss_max:\n break\n\n if n < n_req:\n x = x[0:n]\n y = y[0:n]\n\n return x, y","def makeGrid(self):\n self.h = self.step_x\n self.k = self.step_t\n self.t, self.x = np.meshgrid(np.arange(self.min_t, self.max_t, self.step_t), np.arange(self.min_x, self.max_x\n , self.step_x))","def next_step(self):\n\n c = 1\n dt = 0.001\n dx = 1 / 20**2\n\n # copy current state first\n next_state = np.copy(self.state)\n\n # iterate over matrix\n for i in range(self.width - 1):\n for j in range(self.height - 1):\n\n if not self.shape == \"circle\" or self.circle[i, j] == 1:\n\n # left bottom corner\n if i == 0 and j == 0:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + 0\\\n + 0 + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i, j]\n # right top corner\n elif i == 0 and j == self.height - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (0 + self.state[i + 1, j]\\\n + self.state[i, j - 1] + 0\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n # right bottom corner\n elif i == self.width - 1 and j == 0:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i, j - 1] + 0\\\n + 0 + self.state[i - 1, j]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n # left bottom corner\n elif i == self.width - 1 and j == self.height - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i, j - 1] + self.state[i - 1, j]\\\n + 0 + 0\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif i == 0: # j is not 0\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + 0\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif j == 0:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\n + 0 + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif i == self.width - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (0 + self.state[i - 1, j]\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif j == self.height - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\n + self.state[i, j - 1] + 0\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n else:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n\n self.prev_state = np.copy(self.state)\n self.state = np.copy(next_state)\n\n self.timestep += 1","def filled_grid(n):\n\n i = 0\n r, c = 1, 1\n while r * c < n:\n if i % 2:\n r += 1\n else:\n c += 1\n\n i += 1\n\n return r, c","def DrawGrid(self, count):\n for i in range(0, self.width, self.incr):\n self.canvas.create_line(i, 100, i, 700, fill = \"#696969\", width = 1)\n for i in range(100, 800, 100):\n self.canvas.create_line(0, i, self.width, i, fill = \"#696969\", width = 1)\n self.canvas.create_rectangle(self.incr * 4, self.height - self.incr * 3.5,\n self.width - self.incr * 4, self.height, fill = \"black\", width = 3)\n for i in range(int(self.height - self.incr * 3.5), self.height, int(self.incr / 4)):\n self.canvas.create_line(self.incr * 4, i, self.width - self.incr * 4,\n i, fill = \"#696969\", width = 1)\n for i in range(self.incr * 4, self.width - self.incr * 4 + 1, int(self.incr / 4)):\n self.canvas.create_line(i, self.height - self.incr * 3.5, i, self.height,\n fill = \"#696969\", width = 1)","def Green_func(self):\n if self.bc == True:\n size = self.grid_size\n else:\n size = 2*self.grid_size\n self.Green = np.zeros([size, size])\n for x in range(len(self.Green[0])):\n for y in range(len(self.Green[1])):\n radius = np.sqrt(x**2 + y**2) \n if radius < self.soften: \n radius = self.soften\n self.Green[x, y]=1/(4 * np.pi * radius)\n if self.grid_size%2 == 0: \n self.Green[: size//2, size//2 : ] = np.flip(self.Green[: size//2, : size//2], axis = 1) # an intermittent step - the original grid has only been flipped once (2 x the original size)\n self.Green[ size//2 : , :] = np.flip(self.Green[: size//2, :], axis = 0)\n else: \n print(\"Exiting - Grid size is currently odd. Pleaset set to an even value.\")","def _incremental_steps(start, end, steps, stepsize=None):\n if stepsize is None: step_size = (end - start) / np.maximum((steps - 1), 1)\n gradient = []\n for i in range(steps):\n value = start + step_size * i\n gradient.append(value)\n\n return gradient[0:steps]","def grid(gmin, gmax, gstep):\n n_vals = int((gmax - gmin)/gstep + 1)\n my_grid = linspace(gmin, gmax, n_vals)\n return my_grid","def swipeBase (self) :\n grid = self.grid\n\n #we start by putting every tile up\n for columnNbr in range(4) :\n nbrZeros = 4 - np.count_nonzero(grid[:,columnNbr])\n\n for lineNbr in range(4) :\n counter = 0\n while (grid[lineNbr, columnNbr] == 0) and (counter < 4):\n counter += 1\n if np.count_nonzero(grid[lineNbr:4, columnNbr]) != 0 :\n for remainingLine in range (lineNbr, 3) :\n grid[remainingLine, columnNbr] = grid[remainingLine+1, columnNbr]\n grid[3, columnNbr] = 0\n\n #now we do the additions\n for lineNbr in range(3) :\n if grid[lineNbr, columnNbr] == grid[lineNbr+1, columnNbr] :\n grid[lineNbr, columnNbr] *= 2\n for remainingLine in range (lineNbr+1, 3) :\n grid[remainingLine, columnNbr] = grid[remainingLine+1, columnNbr]\n grid[3, columnNbr] = 0\n\n return (grid)","def main():\n\n rules = parse_input(get_input())\n for part in [5, 18]:\n image = np.array(START_PATTERN).astype(bool)\n for i in range(part):\n image = enlarge(image, rules)\n count = sum(sum(ch for ch in row) for row in image)\n\n print(\"Number of # in the final matrix after {} iterations is {}.\".format(part, count))\n return","def get_cross_size_grid(n, m, grid):\n grid = [[int(c == '#') for c in row] for row in grid]\n acc = [[[0] * 4 for _ in range(m)] for _ in range(n)]\n for i in range(n):\n acc[i][0][L] = grid[i][0]\n acc[i][-1][R] = grid[i][-1]\n for j in range(1, m):\n val = grid[i][j]\n acc[i][j][L] = acc[i][j-1][L] + val if val else 0\n val = grid[i][-j-1]\n acc[i][-j-1][R] = acc[i][-j][R] + val if val else 0\n for j in range(m):\n acc[0][j][T] = grid[0][j]\n acc[-1][j][B] = grid[-1][j]\n for i in range(1, n):\n val = grid[i][j]\n acc[i][j][T] = acc[i-1][j][T] + val if val else 0\n val = grid[-i-1][j]\n acc[-i-1][j][B] = acc[-i][j][B] + val if val else 0\n\n for i in range(n):\n for j in range(m):\n grid[i][j] = min(acc[i][j])\n return grid","def grid(self):\r\n dimA = self.dimA ; dimC = self.dimA ; W_grid = self.W_grid\r\n \r\n self.tol = 10e-5\r\n self.Niter = 10000\r\n \r\n a0 = 100 / self.dimA\r\n c0 = 100 / self.dimA\r\n a_grid = np.mgrid[0:(dimA):1] ; a_grid = a0 * a_grid ; self.a_grid = a_grid\r\n c_grid = np.mgrid[0:(dimC):1] ; c_grid = c0 * c_grid ; self.c_grid = c_grid\r\n self.W_grid = W_grid","def grid_animation(self, steps, figure_size=(12, 12), speed=100):\r\n\r\n steps -= 1\r\n x = self.seed\r\n\r\n fig, ax = plt.subplots(figsize=figure_size)\r\n ax.grid(False)\r\n ax.get_xaxis().set_visible(False)\r\n ax.get_yaxis().set_visible(False)\r\n color_map = matplotlib.colors.ListedColormap(['white', 'black'])\r\n im = plt.imshow(x[1:-1:1, 1:-1:1], interpolation='nearest', cmap=color_map, animated=True)\r\n counter = 0\r\n\r\n def update_figure(*args):\r\n nonlocal x, counter, fig\r\n\r\n counter += 1\r\n x, stats = self.update_grid(x)\r\n plt.title(self.title + ' | Step ' + str(counter), fontsize=14)\r\n im.set_array(x[1:-1:1, 1:-1:1])\r\n\r\n return im, # why is this comma necessary?\r\n\r\n ani = animation.FuncAnimation(fig, update_figure, frames=steps,\r\n interval=speed, blit=False, repeat=False)\r\n\r\n return ani","def reduce(self, steps=1):\n self.h -= steps","def life_step(state):\n\t# For every cell each live cell in any of the 8 neighbouring cells contributes 1 to the sum\n\t# Rolling matricies is periodic so this implements periodic boundary conditions\n\tnumberOfNeigbours = sum(np.roll(np.roll(state, i, axis=0), j, axis=1)\n\t\t\t\t\t\t for i in (-1,0,1) for j in (-1,0,1) if (i != 0 or j != 0))\n\n\t# Any live cell with fewer than two live neighbours dies, as if caused by under-population\n\tstate = np.where(numberOfNeigbours < 2, 0, state)\n\t# Any live cell with more than three live neighbours dies, as if by over-population\n\tstate = np.where(numberOfNeigbours > 3, 0, state)\n\t# Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction.\n\tstate = np.where(numberOfNeigbours == 3, 1, state)\n\n\treturn state","def recursion_step(value_n, r_grid, discount):\n\n n = value_n.shape[0]\n r_len = r_grid.shape[0]\n value_n_minus_1 = np.zeros([n - 1, r_len]) # Value function length reduced by 1\n gittins_n_minus_1 = np.zeros(n - 1) # Value function length reduced by 1\n for k in range(0, n - 1):\n a = k + 1 # a in range [1,n-1]\n b = n - k - 1 # b in range [1,n-1]\n value_n_minus_1[k, :] = np.maximum((r_grid / float(1 - discount)),\n (a / float(n)) * (1 + discount * value_n[k + 1, :]) +\n (b / float(n)) * discount * value_n[k, :]\n )\n try:\n # Find first index where Value = (Value of Safe Arm)\n idx_git = np.argwhere((r_grid / float(1 - discount)) == value_n_minus_1[k, :]).flatten()\n gittins_n_minus_1[k] = 0.5 * (r_grid[idx_git[0]] + r_grid[idx_git[0] - 1]) # Take average\n except:\n print(\"Error in finding Gittins index\")\n\n return gittins_n_minus_1, value_n_minus_1","def tab_grid_traveller(m: int, n: int):\n\n if m == 1 and n == 1:\n return 1\n\n if m == 0 or n == 0:\n return 0\n\n table = [[0 for j in range(n + 1)] for i in range(m + 1)] # Initialize table with m + 1 rows and n + 1 columns.\n table[1][1] = 1\n\n for i in range(m + 1):\n for j in range(n + 1):\n if j + 1 <= n:\n table[i][1 + j] = table[i][1 + j] + table[i][j]\n if i + 1 <= m:\n table[i + 1][j] = table[i + 1][j] + table[i][j]\n\n return table[m][n]","def make_move(grid, n_columns, n_rows):\r\n # Generate the game grid to be manipulated\r\n new_grid = [[0] * (n_columns + 1) for i in range(n_rows + 1)]\r\n\r\n\r\n for i in range(n_rows):\r\n for j in range(n_columns):\r\n upper_left = grid[i-1][j-1] # neighbor to upper left of cell of interest\r\n upper = grid[i-1][j] # neighbor above cell of interest\r\n upper_right = grid[i-1][j+1] # neighbor to upper right of cell of interest\r\n left = grid[i][j-1] # neighbor to left of cell of interest\r\n right = grid[i][j+1] # neighbor to right of cell of interest\r\n bot_left = grid[i+1][j-1] # neighbor to bottom left cell of interest\r\n bot = grid[i+1][j] # neighbor below cell of interest\r\n bot_right = grid[i+1][j+1] # neighbor to bottom right of cell of interest\r\n\r\n # sum of the state of all neighbors\r\n on_neighbors = upper_left + upper + upper_right + left + right + bot_left + bot + bot_right\r\n\r\n # Any ON cell with fewer than two ON neighbors turns OFF\r\n if grid[i][j] == 1 and on_neighbors < 2:\r\n new_grid[i][j] = 0\r\n\r\n # Any ON cell with two or three ON neighbours stays ON\r\n elif grid[i][j] == 1 and (on_neighbors == 2 or on_neighbors == 3):\r\n new_grid[i][j] = 1\r\n\r\n # Any ON cell with more than three ON neighbors turns OFF\r\n elif grid[i][j] == 1 and on_neighbors > 3:\r\n new_grid[i][j] = 0\r\n\r\n # Any OFF cell with three ON neighbors turns ON\r\n elif grid[i][j] == 0 and on_neighbors == 3:\r\n new_grid[i][j] = 1\r\n\r\n return new_grid #manipulated game grid\r","def gd(a, step_size=0.1, steps=42):\n out = []\n ### YOUR CODE HERE\n out.append(np.array([256,1]))\n for i in range(steps):\n point = out[i]\n gradient = np.array([0.5*2*a[i],0.5*2*a[i+1]])\n npoint = point - step_size*gradient\n out.append(npoint)\n ### END CODE\n return out","def calc_stepsize(self):\n # Calculate step size\n step = 1.0/((self.n+self.d)*np.max(np.sum(self.p, axis=0)))\n return step","def main():\r\n\r\n n_rows = 30\r\n n_columns = 80\r\n grid = [[0] * (n_columns + 1) for i in range(n_rows + 1)]\r\n initialize_grid(argv, grid)\r\n print_grid(n_rows, n_columns, grid)\r\n\r\n max_iterations = int(argv[1]) #argv imports as string, must change to int for count\r\n loop_count = 0\r\n\r\n while loop_count < max_iterations:\r\n # print the first grid with user inputs, then print all of the new grids\r\n if loop_count == 0:\r\n new_grid = make_move(grid, n_columns, n_rows)\r\n else:\r\n new_grid = make_move(new_grid, n_columns, n_rows)\r\n print_grid(n_rows, n_columns, new_grid)\r\n loop_count += 1","def grid(min_val, max_val, step=1, *, num_dimensions=2):\n axis = itertools.takewhile(lambda x: x <= max_val,\n itertools.count(min_val, step))\n axes = itertools.tee(axis, num_dimensions)\n return itertools.product(*axes)","def g_iter(n):\n \"*** YOUR CODE HERE ***\"\n vals = [1, 2, 3]\n if n <= 3:\n return vals[n-1]\n for i in range(n - 3):\n new_val = 3 * vals[0] + 2 * vals[1] + 1 * vals[2]\n vals = vals[1:] + [new_val]\n return vals[-1]","def step(self):\n lmax = 32\n\n star = self.star\n\n K, N = star.mesh_size\n mu = star.mu_coords\n r = star.r_coords\n\n def D1(k, n):\n return 1 / 6 * np.sum((mu[2::2] - mu[:-2:2]) *\n (eval_legendre(2 * n, mu[:-2:2]) * star.rho[:-2:2, k] +\n 4 * eval_legendre(2 * n, mu[1:-1:2]) * star.rho[1:-1:2, k] +\n eval_legendre(2 * n, mu[2::2]) * star.rho[2::2, k]))\n\n def D2(n, j):\n sum = 0\n\n def fl(r_dash, r, l=2 * n):\n if r_dash < r:\n return r_dash**(l + 2) / r**(l + 1)\n else:\n return r**l / r_dash**(l - 1)\n\n for k in range(0, N - 2, 2):\n sum += (r[k + 2] - r[k]) * (fl(r[k], r[j]) * D1(k, n) +\n 4 * fl(r[k + 1], r[j]) * D1(k + 1, n) +\n fl(r[k + 2], r[j]) * D1(k + 2, n))\n\n return sum / 6\n\n def calc_Phi(i, j):\n Phi = 0\n\n for n in range(lmax + 1):\n Phi -= 4 * np.pi * D2(n, j) * eval_legendre(2 * n, mu[i])\n\n return Phi\n\n # calculate Phi across grid\n for n in range(N):\n for k in range(K):\n star.Phi[k, n] = calc_Phi(k, n)\n\n # print(f'Phi = {star.Phi[0,:]}')\n\n # update the enthalpy\n\n Omega2 = star.eos.Omega2(star.Phi, star.Psi)\n C = star.eos.C(star.Phi, star.Psi)\n\n H = C - star.Phi - Omega2 * star.Psi\n\n # use new enthalpy and Phi to calculate the density\n\n star.rho = star.eos.rho_from_h(H)\n star.rho /= np.max(star.rho)\n\n # print(f\"rho = {np.average(star.rho, axis=0)}\")\n\n # calculate the errors\n\n H_err = np.max(np.abs(H - star.H)) / np.max(np.abs(H))\n\n if np.max(Omega2) == 0:\n if np.abs(Omega2 - star.Omega2) == 0:\n Omega2_err = 0\n else:\n Omega2_err = 1\n else:\n Omega2_err = np.abs(Omega2 - star.Omega2) / np.abs(Omega2)\n\n if np.max(star.C) == 0:\n if np.abs(C - star.C) == 0:\n C_err = 0\n else:\n C_err = 1\n else:\n C_err = np.abs(C - star.C) / np.abs(star.C)\n\n # set variables to new values\n\n star.H = H\n star.Omega2 = Omega2\n star.C = C\n print(\n f\"Errors: H_err = {H_err}, Omega2_err = {Omega2_err}, C_err = {C_err}\")\n\n return H_err, Omega2_err, C_err","def hailstone_steps(num):\n steps = 0\n\n while num > 1:\n steps = steps + 1\n if num % 2 == 1:\n num = int(num * 3 + 1)\n else:\n num = int(num / 2)\n\n return steps","def step(self, closure):\r\n self.state['step'] += 1\r\n for y_ind in range(self.dim_out):\r\n err = closure(y_ind)\r\n for group_ind in range(len(self.param_groups)):\r\n group = self.param_groups[group_ind]\r\n iekf_mat = self.state['iekf_groups'][group_ind]\r\n for ii, w in enumerate(group['params']):\r\n if w.grad is None:\r\n continue\r\n H_n = iekf_mat[ii]['H']\r\n grad = w.grad.data.detach()\r\n if len(w.size()) > 1:\r\n grad = grad.transpose(1, 0)\r\n grad = grad.contiguous().view((1, -1))\r\n if y_ind == 0:\r\n H_n = grad\r\n else:\r\n H_n = torch.cat([H_n, grad], dim=0)\r\n self.state['iekf_groups'][group_ind][ii]['H'] = H_n\r\n\r\n err_T = err.transpose(0, 1)\r\n\r\n for group_ind in range(len(self.param_groups)):\r\n group = self.param_groups[group_ind]\r\n iekf_mat = self.state['iekf_groups'][group_ind]\r\n for ii, w in enumerate(group['params']):\r\n if w.grad is None:\r\n continue\r\n\r\n lbd_n = iekf_mat[ii]['lbd']\r\n P_n = iekf_mat[ii]['P']\r\n EPS = iekf_mat[ii]['EPS']\r\n H_n = iekf_mat[ii]['H']\r\n H_n_T = H_n.transpose(0, 1)\r\n if group['lbd_decay']:\r\n miu = 1.0 / min(self.state['step'], group['lbd_max_step'])\r\n lbd_n = lbd_n + miu * (err_T.mm(err).flatten()[0] / self.dim_out - lbd_n)\r\n self.state['iekf_groups'][group_ind][ii]['lbd'] = lbd_n\r\n R_n = lbd_n * torch.eye(self.dim_out, dtype=torch.float, device=iekf_mat[ii]['device'],\r\n requires_grad=False)\r\n\r\n g_n = R_n + H_n.mm(P_n).mm(H_n_T)\r\n g_n = g_n.inverse()\r\n\r\n K_n = P_n.mm(H_n_T).mm(g_n)\r\n delta_w = K_n.mm(err)\r\n if len(w.size()) > 1:\r\n delta_w = delta_w.view((w.size(1), w.size(0))).transpose(1, 0)\r\n else:\r\n delta_w = delta_w.view(w.size())\r\n\r\n new_P = (group['alpha'] + 1) * (P_n - K_n.mm(H_n).mm(P_n) + EPS)\r\n self.state['iekf_groups'][group_ind][ii]['P'] = new_P\r\n\r\n w.data.add_(delta_w)\r\n\r\n return err","def traverse_grid(self, start_cell, direction, num_steps):\n elements = []\n\n for step in range(num_steps):\n row = start_cell[0] + step * direction[0]\n col = start_cell[1] + step * direction[1]\n elements.append(self._grid[row][col])\n\n return elements","def make_grid(self):\n for k in range(0, NUM + 1):\n self.create_line(k * UNIT, 0, k * UNIT, SIZE, width=THICKNESS)\n self.create_line(0, k * UNIT, SIZE, k * UNIT, width=THICKNESS)","def backtrack_steps():\n\n # Initialize position and number of steps\n x = 0\n n_steps = 0\n\n # Walk until we get to positive 1\n while x < 1:\n x += 2 * np.random.randint(0, 2) - 1\n n_steps += 1\n\n return n_steps","def grid_image(output):\n grid = []\n for data in output:\n grid += [make_grid(data, nrow=5, normalize=True)]\n return grid","def task2_extra():\n N = 0\n lam = 0\n Ls = numpy.array([2*L for L in range(1,23)])\n h = 0.01\n tau = 0.000099\n\n iterss = []\n\n for L in Ls:\n a = L // 2\n print(L)\n x = numpy.linspace(-L, L, int(2*L/h) + 1)\n # eps = int(0.1 * len(x))\n\n Vm = V1D(lam, x)\n state = phi(N, x-a)\n\n iters = 0\n while True:\n prob = numpy.abs(state)**2\n mid = int(2*L/h) // 2\n # if max(prob) in prob[mid-eps:mid+eps]:\n if numpy.argmax(prob) <= mid:\n print(iters)\n iterss.append(iters)\n break\n\n state[0] = 0\n state[-1] = 0\n state = implicit_scheme_step(state, tau, h, Vm)\n iters += 1\n\n fig = plt.figure()\n plt.title(\"Iterations of Gaussian travel to center\")\n plt.xlabel(\"$L$\")\n plt.ylabel(\"Time\")\n plt.plot(Ls, tau*numpy.array(iterss))\n plt.show()\n fig.savefig(\"naloga2_iters_of_gaussian_travel.pdf\", bbox_inches=\"tight\")","def monteCarloRun(startingPoints, qms, vs, directions, BR, BZ, r, z, rLim, fluxGridCoarseness, steppingMethod):\n totalGrid = np.zeros((BR.shape[0]//fluxGridCoarseness, BR.shape[1]//fluxGridCoarseness))\n trappedGrid = np.zeros((BR.shape[0]//fluxGridCoarseness, BR.shape[1]//fluxGridCoarseness))\n rReduced = np.linspace(np.min(r), np.max(r), len(r)//fluxGridCoarseness)\n rDelta = rReduced[1]-rReduced[0]\n rReduced += rDelta/2. # Use distance to cell centers to count particles\n zReduced = np.linspace(np.min(z), np.max(z), len(z)//fluxGridCoarseness)\n zDelta = zReduced[1]-zReduced[0]\n zReduced += zDelta/2. # Use distance to cell centers to count particles\n \n habitatCrossings = 0\n GDTcrossings = 0\n detectorCounts = np.zeros(14)\n \n gridStep = r[1]-r[0]\n \n numParticles = len(qms)\n for particleNumber in prange(numParticles):\n if particleNumber % (numParticles/10) == 0:\n print(particleNumber)\n \n qm = qms[particleNumber]\n v0 = vs[particleNumber]\n dt = (r[1]-r[0])/v0/2\n maxTime = rLim * 3 / v0\n maxSteps = int(maxTime / dt)\n particleGrid = np.zeros((BR.shape[0]//fluxGridCoarseness, BR.shape[1]//fluxGridCoarseness))\n crossedHabitat = 0\n crossedGDT = 0\n particleDetectorCounts = np.zeros(14)\n \n # Generate random point and direction\n point1 = startingPoints[particleNumber]\n direction = directions[particleNumber]\n noAccelStep = 0.99*gridStep*direction\n trapped = True\n \n x = point1.copy() # copy is important... \n v = direction*v0\n E = np.zeros(3)\n \n if steppingMethod == 2:\n x, _ = RKnext(x, v, qm, BR, BZ, r, z, dt/2)\n\n for i in range(maxSteps):\n # Count crossings\n particleR = (x[0]**2 + x[1]**2)**.5\n nearestR = nearestIndex(rReduced, particleR)\n nearestZ = nearestIndex(zReduced, x[2])\n particleGrid[nearestZ, nearestR] = 1\n if 9.7 < particleR < 12.3 and -1.3 < x[2] < 1.3:\n crossedHabitat = 1\n if -14 < x[2] < 14 and particleR < 5:\n crossedGDT = 1\n # Will's detectors\n # for det in range(14):\n # vd = (x[0] - det*1.4, x[1], x[2])\n # if (vd[0]**2+vd[1]**2+vd[2]**2)**.5 < 0.5:\n # particleDetectorCounts[det] = 1\n \n # Step\n if steppingMethod == 0:\n x += noAccelStep\n elif steppingMethod == 1:\n x, v = RKnext(x, v, qm, BR, BZ, r, z, dt)\n elif steppingMethod == 2:\n B = BxyzInterpolated(x, BR, BZ, r, z)\n x, v = BBnext(x, v, qm, B, E, dt)\n \n # Stop stepping if out of bounds\n if (particleR**2+x[2]**2)**.5 > rLim + .001: \n trapped = False\n break\n detectorCounts += particleDetectorCounts\n totalGrid += particleGrid\n if trapped:\n trappedGrid += particleGrid\n habitatCrossings += crossedHabitat\n GDTcrossings += crossedGDT\n \n print(\"Will's detectors:\", detectorCounts)\n \n # Divide cell counts by volume of cell\n totalGridUnscaled = totalGrid.copy()\n trappedGridUnscaled = trappedGrid.copy()\n for i in range(len(rReduced)):\n for j in range(len(zReduced)):\n volume = np.pi*((rReduced[i]+rDelta/2.)**2-(rReduced[i]-rDelta/2.)**2)*zDelta\n totalGrid[j, i] /= volume\n trappedGrid[j, i] /= volume\n \n return rReduced, zReduced, totalGrid, trappedGrid, habitatCrossings, GDTcrossings, totalGridUnscaled, trappedGridUnscaled","def Greens_function_approxRW(n=10, nwalks=200, start_position=[5,5]):\n \n G_func = np.zeros((n+1, n+1)) # Matrix to indicate how often the walk end att each boundary position\n \n for i in range(nwalks):\n position = start_position[:]\n # Perform one random walk and store the boundary position it reaches\n while (position[0] != 0 and position[0] != n and position[1] != 0 and position[1] != n):\n new_move = next_move()\n position[0] = position[0] + new_move[0]\n position[1] = position[1] + new_move[1]\n G_func[position[1], position[0]] += 1\n \n return G_func","def genGrid(nTot,gDict):\n \n # Generate nTot-by-8 array, and dump to disk.\n grid = np.empty([nTot,8])\n \n # Initialize Simulation ID (SID) to keep track of the number of propagations.\n SID = 1\n\n # The grid array is filled in the order: MA, AOP, RAAN, INC, ECC, SMA, MJD.\n \n # Get deltas\n for key in gDict:\n if gDict[key]['points'] > 1:\n gDict[key]['delta'] = (gDict[key]['end'] - gDict[key]['start']) / (gDict[key]['points'] - 1)\n else:\n gDict[key]['delta'] = 0.\n \n # Here's the Big Nested Loop.\n for i0 in range(0, gDict['MJD']['points']):\n MJD = gDict['MJD']['start'] + i0 * gDict['MJD']['delta']\n\n for i1 in range(0, gDict['SMA']['points']):\n SMA = gDict['SMA']['start'] + i1 * gDict['SMA']['delta']\n\n for i2 in range(0, gDict['ECC']['points']):\n ECC = gDict['ECC']['start'] + i2 * gDict['ECC']['delta']\n\n for i3 in range(0, gDict['INC']['points']):\n INC = gDict['INC']['start'] + i3 * gDict['INC']['delta']\n\n for i4 in range(0, gDict['RAAN']['points']):\n RAAN = gDict['RAAN']['start'] + i4 * gDict['RAAN']['delta']\n\n for i5 in range(0, gDict['AOP']['points']):\n AOP = gDict['AOP']['start'] + i5 * gDict['AOP']['delta']\n\n for i6 in range(0, gDict['MA']['points']):\n MA = gDict['MA']['start'] + i6 * gDict['MA']['delta']\n \n grid[SID - 1,:] = [SID,MJD,SMA,ECC,INC,RAAN,AOP,MA]\n SID = SID + 1\n\n return grid","def collatz_step(n):\n if n<1:\n raise ValueError('Input must be greater than 0')\n elif n==1:\n return 1\n elif n%2==0:\n return (n/2)\n elif n%2==1:\n return(3*n+1)","def next_step():\n global fenetre, grid\n if len(l)>2:\n board_display(l[0])\n l.pop(0)\n steps.set(str(len(l))+\" steps remaining\")\n elif len(l)==2:\n board_display(l[0])\n l.pop(0)\n steps.set(str(len(l))+\" step remaining\")\n else:\n board_display(l[0])\n steps.set(\"No more steps remaining\")\n btn.set(\"Finished!\")","def grid(iant,xgrid=[0],ygrid=[0],sleep=4):\n d=Carma(iant).drive()\n d.setOffset(xgrid[0],ygrid[0])\n time.sleep(sleep)\n time.sleep(sleep)\n for y in ygrid:\n for x in xgrid:\n print x,y\n d.setOffset(x,y)\n time.sleep(sleep)","def initial_approximation(pulls, discount, grid_n):\n\n values = np.zeros([pulls - 1, pulls - 1, grid_n]) # Store V(a=k, b=n-k, r) in values[k,n-1,:] as k varies\n gittins = np.zeros([pulls - 1, pulls - 1]) # Store Gittins(a=k, b=n-k) in gittins[k,n-1] as k varies\n\n a_grid = np.arange(1, pulls)\n r_grid = np.linspace(0, 1, grid_n)\n\n initial_gittins = a_grid / float(pulls) # Initial Gittins Approximation to start Backward Induction\n gittins[0:pulls, pulls - 2] = initial_gittins # Record initial Gittins approximation\n\n for idx_a, a in enumerate(a_grid):\n values[idx_a, pulls - 2, :] = (1.0 / (1 - discount)) * \\\n np.maximum(r_grid, a / float(pulls)) # Record initial Value approximation\n\n return gittins, values","def makeGrid(self, width, height, rewardLocs, exit, nPick=1, nAux=1, walls=[]):\n # Make mapping from coordinate (x, y, (takenreward1, takenreward2, ...))\n # to state number, and vice-versa.\n rTaken = iter([(),])\n for nPicked in range(1, nPick+1):\n rTaken = itertools.chain(rTaken, \n myCombinations(rewardLocs, r=nPicked)\n )\n # Iterators are hard to reset, so we list it.\n rTaken = list(rTaken)\n\n # Mappings from state to coordinates, vice-versa\n coordToState = {}\n stateToCoord = {}\n stateIdx = 0\n for x in range(width):\n for y in range(height):\n for stuff in rTaken:\n for holding in self.holdingPossibilities:\n coordToState[(x, y, stuff, holding)] = stateIdx\n stateToCoord[stateIdx] = (x, y, stuff, holding)\n stateIdx += 1\n self.deadEndState = stateIdx\n\n # Actually make the transition function\n def trans(f, p): \n aux = p\n (x, y, stuff, holding) = stateToCoord[f]\n actionMap = {}\n default = {(f, aux): 1}\n # Make the transition dictionary if the dead-end state (state width*height)\n if f == self.F-1:\n for action in range(5):\n actionMap[action] = default\n return actionMap\n\n # Otherwise, determine directions of motion, etc. \n for i in range(4):\n actionMap[i] = default\n if x != 0 and ((x-1, y) not in walls):\n actionMap[0] = {(coordToState[(x-1,y,stuff, holding)], aux): 1}\n if x < width-1 and ((x+1, y) not in walls):\n actionMap[1] = {(coordToState[(x+1,y,stuff, holding)], aux): 1}\n if y != 0 and ((x, y-1) not in walls):\n actionMap[2] = {(coordToState[(x,y-1,stuff, holding)], aux): 1}\n if y < height-1 and ((x, y+1) not in walls):\n actionMap[3] = {(coordToState[(x,y+1,stuff, holding)], aux): 1}\n # What happens when the agent uses action 4?\n if (x, y) == exit:\n # Some cases, depending on self.oneAtATime\n if not self.oneAtATime:\n # The agent is leaving.\n actionMap[4] = {(self.deadEndState, aux): 1}\n else:\n # The agent is dropping off a reward. holeFiller will\n # take care of the reward value.\n if len(stuff) >= nPick:\n # The agent is not allowed to pick up more stuff\n actionMap[4] = {(self.deadEndState, aux): 1}\n else:\n # The agent drops off the object.\n actionMap[4] = {(coordToState[(x,y,stuff, -1)], aux): 1}\n elif (x, y) not in rewardLocs:\n # No reward to pick up. Do nothing.\n actionMap[4] = default\n elif (x, y) in stuff:\n # This reward has already been used. Do nothing.\n actionMap[4] = default\n elif len(stuff) >= nPick or (holding != -1 and holding < len(stuff)\n and self.oneAtATime):\n # The agent has its hands full.\n actionMap[4] = default\n else:\n # The agent is allowed to pick up an object.\n newStuff = tuple(sorted(list(stuff) + [(x, y)]))\n if self.oneAtATime:\n newHoldingIdx = newStuff.index((x, y))\n else:\n newHoldingIdx = -1\n actionMap[4] = {(coordToState[(x, y, newStuff, newHoldingIdx)], aux): 1}\n return actionMap\n\n # Man, I'm outputting a lot of stuff.\n # coordToState[(x, y, rewardsLeft, holding)] -> index of this state\n # stateToCoord[index] -> (x, y, rewardsLeft, holding)\n # rTaken is a list of all possible combinations of leftover rewards.\n return (trans, coordToState, stateToCoord, rTaken)","def grid_numbering(n, x_0, y_0, x_1, y_1):\n \n if n == 0:\n return \"\"\n\n arg = complex_number(x_0 + 0.5 - x_1, y_0 + 0.5 - y_1).argument()\n\n if arg >= 0 and arg < np.pi / 2: \n x = \"1\"\n x_1 += 2 ** (n - 2)\n y_1 += 2 ** (n - 2)\n elif arg >= np.pi / 2 and arg <= np.pi:\n x = \"2\"\n x_1 -= 2 ** (n - 2)\n y_1 += 2 ** (n - 2)\n elif arg < 0 and arg >= -np.pi / 2:\n x = \"4\"\n x_1 += 2 ** (n - 2)\n y_1 -= 2 ** (n - 2)\n else:\n x = \"3\"\n x_1 -= 2 ** (n - 2)\n y_1 -= 2 ** (n - 2)\n\n return str(x) + grid_numbering(n - 1, x_0, y_0, x_1, y_1)","def grid_distortion(\n img: np.ndarray,\n num_steps: int = 10,\n xsteps: Tuple = (),\n ysteps: Tuple = (),\n interpolation: int = cv2.INTER_LINEAR,\n border_mode: int = cv2.BORDER_REFLECT_101,\n value: Optional[ImageColorType] = None,\n) -> np.ndarray:\n height, width = img.shape[:2]\n\n x_step = width // num_steps\n xx = np.zeros(width, np.float32)\n prev = 0\n for idx in range(num_steps + 1):\n x = idx * x_step\n start = int(x)\n end = int(x) + x_step\n if end > width:\n end = width\n cur = width\n else:\n cur = prev + x_step * xsteps[idx]\n\n xx[start:end] = np.linspace(prev, cur, end - start)\n prev = cur\n\n y_step = height // num_steps\n yy = np.zeros(height, np.float32)\n prev = 0\n for idx in range(num_steps + 1):\n y = idx * y_step\n start = int(y)\n end = int(y) + y_step\n if end > height:\n end = height\n cur = height\n else:\n cur = prev + y_step * ysteps[idx]\n\n yy[start:end] = np.linspace(prev, cur, end - start)\n prev = cur\n\n map_x, map_y = np.meshgrid(xx, yy)\n map_x = map_x.astype(np.float32)\n map_y = map_y.astype(np.float32)\n\n remap_fn = _maybe_process_in_chunks(\n cv2.remap,\n map1=map_x,\n map2=map_y,\n interpolation=interpolation,\n borderMode=border_mode,\n borderValue=value,\n )\n return remap_fn(img)","def g_iter(n):\n \"*** YOUR CODE HERE ***\"\n if n <= 3:\n return n\n else:\n i = 3\n x, y, z = 1, 2, 3\n new = 1\n while i < n:\n new = z + (2*y) + (3*x)\n x, y, z = y, z, new \n i += 1\n return new","def make_step(self):\n self.step_vals = np.cumsum(self.vals)","def draw_grid(self):\n for i in range(N * N + 1):\n color = \"blue\" if i % N == 0 else \"gray\"\n x0 = MARGIN + i * SIDE\n y0 = MARGIN\n x1 = MARGIN + i * SIDE\n y1 = HEIGHT - MARGIN\n self.canvas.create_line(x0, y0, x1, y1, fill=color)\n\n x0 = MARGIN\n y0 = MARGIN + i * SIDE\n x1 = WIDTH - MARGIN\n y1 = MARGIN + i * SIDE\n self.canvas.create_line(x0, y0, x1, y1, fill=color)","def grid_inflation(self):\n for obs in self.obstacle_list:\n\n inflation_x1 = round((obs[0][0]-self._inflation_radius)/self.step_size)\n\n inflation_y2 = round((obs[0][1] + obs[2] +self._inflation_radius)/self.step_size)\n\n inflation_x2 = round((obs[0][0] + obs[1] +self._inflation_radius)/self.step_size)\n\n inflation_y1 = round((obs[0][1] -self._inflation_radius)/self.step_size)\n\n self.grid[1, inflation_x1:inflation_x2+1,\n inflation_y1:inflation_y2+1] = INFLATION_COST\n\n # border inflation\n self.grid[1, 0:self.gridwidth+1, 0:round(self._inflation_radius/self.step_size)+1] = INFLATION_COST\n self.grid[1, 0:self.gridwidth+1, self.gridheight-round(self._inflation_radius / self.step_size):self.gridheight+1] = INFLATION_COST\n self.grid[1, 0:round(self._inflation_radius/self.step_size)+1, 0:self.gridheight+1] = INFLATION_COST\n self.grid[1, self.gridwidth-round(self._inflation_radius/self.step_size):self.gridwidth+1, 0:self.gridheight+1] = INFLATION_COST\n\n # if NEED_DRAW_INFLATED_GRID:\n # for i in range(self.gridwidth):\n # plt.scatter(i,0)\n # plt.scatter(i,self.gridheight)\n # for j in range(self.gridheight):\n # plt.scatter(0,j)\n # plt.scatter(self.gridwidth,j)\n # if self.grid[i, j] != 0:\n # plt.scatter(i,j)\n # plt.show()\n\n return self.grid","def generate_mandelbrot(self, iterations):\n if self.grid is None:\n raise RuntimeError(\"Grid hasn't been setup - call set_grid first.\")\n # Define the tensorflow variables\n c = tf.constant(self.grid.astype(np.complex64))\n z = tf.Variable(c)\n n = tf.Variable(tf.zeros_like(c, tf.float32))\n # Start the tensorflow session\n with tf.Session():\n tf.global_variables_initializer().run()\n # Define the main mandelbrot algorithm - either take the square plus x, or keep z\n z_out = tf.where(tf.abs(z) < self.threshold, z ** 2 + c, z)\n not_diverged = tf.abs(z_out) < self.threshold\n # Create a group of tensorflow operations\n step = tf.group(z.assign(z_out), n.assign_add(tf.cast(not_diverged, tf.float32)))\n # Run the operations for a set number of steps\n for i in range(iterations):\n step.run()\n self.end_step = n.eval()\n self.end_z = z_out.eval()","def mem_grid_traveller(m: int, n: int, memo: dict={}):\n\n value = memo.get((m, n))\n if not value:\n if m == 1 and n == 1:\n value = 1\n elif m == 0 or n == 0:\n value = 0\n else:\n value = mem_grid_traveller(m - 1, n, memo) + mem_grid_traveller(m, n - 1, memo)\n memo[(m, n)] = value\n\n return value","def define_grid():\n grid_left = np.array([[-13.1000000000000, -35.5000000000000, -48.3000000000000, -60, -16.9000000000000,\n -34.8000000000000, -67.5000000000000, -46.1000000000000, -59.8000000000000,\n -14.2000000000000, -28.3000000000000, -42.3000000000000, -67.6000000000000,\n -50.5000000000000, -14.6000000000000, -60.9000000000000, -31.6000000000000,\n -5.10000000000000, -65.6000000000000, -41.8000000000000, -55.1000000000000,\n -22.7000000000000, -5.80000000000000, -49.2000000000000, -34.5000000000000,\n -61.5500000000000, -63.6000000000000, -40.4000000000000, -48.7000000000000,\n -21.8000000000000, -58.2000000000000, -7, -36.3000000000000, -48.1000000000000,\n -56.8000000000000, -7.30000000000000, -22.2000000000000, -36.8000000000000,\n -46.8000000000000],\n [-67.7000000000000, -60, -55.1000000000000, -51.8000000000000, -51.6000000000000,\n -49.3000000000000, -47.1000000000000, -43.7000000000000, -39.6000000000000,\n -39.1000000000000, -31.2000000000000, -30.7000000000000, -30.1000000000000,\n -24.4000000000000, -22.7000000000000, -18.7000000000000, -16.9000000000000,\n -12.6000000000000, -10.8000000000000, -10.2000000000000, -4.01000000000000, 1.20000000000000,\n 2.80000000000000, 3.70000000000000, 3.90000000000000, 6.20000000000000, 8.30000000000000,\n 11.8000000000000, 14.5000000000000, 16, 18.2000000000000, 18.4000000000000, 19.9000000000000,\n 24.6000000000000, 28.5200000000000, 33.8000000000000, 35, 35.4000000000000,\n 35.6000000000000],\n [69.1000000000000, 66, 58.2000000000000, 48, 78, 71.7000000000000, 31, 61.1000000000000,\n 53.3000000000000, 81.1000000000000, 76, 70.2000000000000, 41.2000000000000, 64.4000000000000,\n 80.2000000000000, 50.9000000000000, 75.2000000000000, 77.3000000000000, 37.8000000000000, 67,\n 53.2000000000000, 72, 74.8000000000000, 54.7000000000000, 66.5000000000000, 35.9000000000000,\n 25.7000000000000, 60.7000000000000, 50.5000000000000, 68.9000000000000, 27.3000000000000,\n 70.3000000000000, 59.6000000000000, 44, 20.8000000000000, 61.7000000000000, 57.2000000000000,\n 47, 36]])\n stn_left = np.array([[-14.6, -13.2, -11.7, -9.10, -11.7, -13.2, -7.90, -10],\n [-15.1, -15.1, -15.1, -12.6, -12.6, -12.6, -9.40, -10.1],\n [-5.40, -7.20, -8.70, -8.70, -7.50, -5.10, -10.3, -7.80]])\n grid_right = np.copy(grid_left)\n grid_right[0, :] = grid_right[0, :] * -1\n stn_right = np.copy(stn_left)\n stn_right[0, :] = stn_right[0, :] * -1\n\n return grid_left, grid_right, stn_left, stn_right","def n_cols_generated(n_features: int, max_steps: int, n_transformations: int = 7, n_combinations: int = 4) -> int:\n # n_transformations is 1-len(func_transform) because either abs() or sqrt and log will be applied\n n_transformations -= 1\n original_cols = n_features\n new_cols = 0\n new_new_cols = 0\n # count additions at the highest level\n n_additions = 0\n steps = 1\n if steps <= max_steps:\n # Step 1: apply transformations to original features\n original_cols += n_features * n_transformations\n # n_additions += n_features * 2 # only if 1+ or 1- is in transformations!\n steps += 1\n if steps <= max_steps:\n # Step 2: first combination of features\n new_cols = n_combinations * (ncr(original_cols, 2))\n n_additions += 3 * new_cols // 4\n steps += 1\n while steps <= max_steps:\n # apply transformations on these new features\n # n_additions += new_cols * 2\n new_cols += new_cols * n_transformations\n steps += 1\n # get combinations of old and new features\n if steps <= max_steps:\n new_new_cols = n_combinations * (original_cols * new_cols)\n n_additions += 3 * new_new_cols // 4\n steps += 1\n # and combinations of new features within themselves\n if steps <= max_steps:\n n = n_combinations * (ncr(new_cols, 2))\n new_new_cols += n\n n_additions += 3 * n // 4\n steps += 1\n # update old and new features and repeat\n original_cols += new_cols\n new_cols = new_new_cols\n new_new_cols = 0\n # finally, apply transformation on the last new features\n if steps <= max_steps:\n # n_additions += new_cols * 2\n new_cols += new_cols * n_transformations\n return original_cols + new_cols + new_new_cols - n_additions","def drawGrid(self):\n for div in range(NBCELL):\n sec = SSIZE*div\n self.can.create_line(0, sec, GSIZE, sec, width=3, fill=GFILL)\n self.can.create_line(sec, 0, sec, GSIZE, width=3, fill=GFILL)","def estimate_grids(self, **kwargs):\n npts = kwargs.get('npts', 500)\n return np.linspace(self.zvals.min(), self.zvals.max(), npts)","def part2():\r\n my_input = 368078\r\n coords = [(1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0), (-1, 1), (0, 1), (1, 1)]\r\n x = y = dx = 0\r\n dy = -1\r\n grid = {}\r\n\r\n while True:\r\n total = 0\r\n for offset in coords:\r\n ox, oy = offset\r\n if (x+ox, y+oy) in grid:\r\n total += grid[(x+ox, y+oy)]\r\n if total > int(my_input):\r\n return total\r\n if (x, y) == (0, 0):\r\n grid[(0, 0)] = 1\r\n else:\r\n grid[(x, y)] = total\r\n if (x == y) or (x < 0 and x == -y) or (x > 0 and x == 1-y):\r\n dx, dy = -dy, dx\r\n x, y = x+dx, y+dy","def reducer(sudoku_grid):\n for i in range(9):\n sudoku_grid = reduce_row(i,sudoku_grid)\n sudoku_grid = reduce_col(i,sudoku_grid)\n sudoku_grid = reduce_sub(i,sudoku_grid)\n return sudoku_grid","def mbieLoop (self) :\n self.iterCnt = 0\n while self.iterCnt < 5000:\n s = self.mdp.s0\n for h in range(self.H) :\n self.QUpper = QBoundsSolver(self.mdp, self.PHat, self.QUpper, self.Ntotal, 0.1, True, self.stop)\n a = np.argmax(self.QUpper[s])\n s_, self.R[s,a] = self.mdp.step(s, a)\n self.updateVisitStatistics(s, a, s_)\n s = s_\n\n if self.iterCnt % 10 == 0: \n print(self.iterCnt)\n print(self.QUpper)\n\n self.iterCnt += 1","def sum_grid(self, grid):\n new_grid = []\n for i in range(self.grid_size):\n new_grid.append(self.sum_row(grid[i]))\n return new_grid","def idx_to_grid(n):\n\n x = n % MAX_Y\n y = int(n / MAX_X)\n return(x, y)","def run_iterations(self, n, verbose = False):\n for i in range(n):\n # Calculate total number of neighbors for each cell\n all_neighbors = self.get_all_neighbors()\n all_num_neighbors = np.sum(all_neighbors, axis = (-2,-1)) - self.board\n # Determine new state for each cell using lookup table and number of neighbors\n self.board[:] = np.where(self.board, \n self.lookup[1][all_num_neighbors], \n self.lookup[0][all_num_neighbors])\n # Verbosity check\n if verbose:\n print(self.board)","def make_evaluation_grids(W, M, N):\n nu = (np.arange(W * M, dtype=float) + 0.5) / (2 * M)\n x = np.arange(N + 1, dtype=float) / (2 * N)\n return nu, x","def get_grid_size(self, ui, res_dir):\r\n print_it('determining grid size', PrintOpts.lvl1.value)\r\n self.sun.simple_clone()\r\n self.sun.clone.make_profile(PreSol.res_x.value, PreSol.res_y.value,\r\n self.init_force)\r\n self.planet.simple_clone()\r\n self.planet.clone.make_slave_to(self.sun.clone)\r\n\r\n init_displ = hertz_displ(self.sun.clone.e, self.planet.e,\r\n self.sun.clone.ny, self.planet.ny,\r\n self.sun.clone.r_hertz_x,\r\n self.sun.clone.r_hertz_y,\r\n self.planet.clone.r_hertz_x,\r\n self.planet.clone.r_hertz_y,\r\n self.sun.norm_forces[0])\r\n too_many_els_in_y = 1\r\n too_many_els_in_x = 1\r\n contact_width_y = 0.05\r\n contact_width_x = 0.05\r\n while too_many_els_in_y != 0 or \\\r\n too_many_els_in_x != 0:\r\n self.sun.clone.make_profile(self.sun.clone.res_x,\r\n self.sun.clone.res_y, self.init_force,\r\n contact_width=contact_width_y,\r\n contact_length=contact_width_x)\r\n self.planet.clone.make_slave_to(self.sun.clone)\r\n\r\n pressure, init_displ = \\\r\n pre_solve_half_space(self.sun.clone.profile,\r\n self.planet.clone.profile,\r\n self.sun.clone.x_axis,\r\n self.sun.clone.y_axis,\r\n self.sun.clone.res_x, self.sun.clone.res_y,\r\n self.sun.clone.delta_x,\r\n self.sun.clone.delta_y, self.sun.clone.e,\r\n self.planet.clone.e, self.sun.clone.ny,\r\n self.planet.clone.ny,\r\n self.sun.norm_forces[0],\r\n init_displ=init_displ, print_prog=False)\r\n\r\n pressure_els_y = sum(\r\n pressure[math.floor(self.sun.clone.res_y / 2), :] > 0)\r\n too_many_els_in_y = self.sun.clone.res_y - pressure_els_y - 2\r\n if too_many_els_in_y:\r\n contact_width_y += -np.sign(\r\n too_many_els_in_y) * contact_width_y / 25\r\n\r\n pressure_els_x = sum(\r\n pressure[:, math.floor(self.sun.clone.res_x / 2)] > 0)\r\n too_many_els_in_x = self.sun.clone.res_x - pressure_els_x - 2\r\n if too_many_els_in_x:\r\n contact_width_x += -np.sign(\r\n too_many_els_in_x) * contact_width_x / 25\r\n\r\n self.sun.make_profile(self.sun.res_x, self.sun.res_y, self.init_force,\r\n contact_width=contact_width_y,\r\n contact_length=contact_width_x)\r\n self.planet.make_slave_to(self.sun)\r\n return init_displ","def define_grid(self):\n self.h_shape = int(\n np.round((self.h_stop - self.h_start) / self.h_step, 2)) + 1\n self.k_shape = int(\n np.round((self.k_stop - self.k_start) / self.k_step, 2)) + 1\n self.l_shape = int(\n np.round((self.l_stop - self.l_start) / self.l_step, 2)) + 1\n self.grid_origin = [self.h_start, self.k_start, self.l_start]\n self.grid_step = [int(np.rint(1.0/self.h_step)),\n int(np.rint(1.0/self.k_step)),\n int(np.rint(1.0/self.l_step))]\n self.grid_shape = [self.h_shape, self.k_shape, self.l_shape]\n self.grid_basis = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]","def calculate_pyramid_rows_loop(number_of_rows):\n total_blocks = 0\n for x in range(1, number_of_rows + 1):\n total_blocks += x\n return total_blocks","def montage(images, w_sub, h_sub, step):\n target = Image.new('RGB', (w_sub*step, h_sub*step))\n left = 0\n right = w_sub\n for i in range(len(images)):\n top=(i//step)*h_sub\n target.paste(images[i], (left, top, right, top+h_sub))\n if(i//step < (i+1)//step):#Check if this row is done\n left = 0#Reset the position in a row\n right = w_sub\n else: #Next picture\n left += w_sub\n right += w_sub\n quality_value = 100\n return target","def n_steps(self) -> int:\n return len(self) - 1 # subtract the base metric","def count_tilings(n: int) -> int:\n if n < 5:\n # handle recursive base case\n return 2**(n - 1)\n else:\n # place each tile at end of row and recurse on remainder\n return (count_tilings(n - 1) +\n count_tilings(n - 2) +\n count_tilings(n - 3) +\n count_tilings(n - 4))","def total_steps(self):\n return self.turns + (self.rounds*self.game_length)","def solve_puzzle(self):\r\n \r\n counter = 0\r\n rows = self._height-1\r\n cols = self._width-1\r\n # print rows, cols\r\n # print 'The greed has %s rows and %s coloumn indexes' %(rows, cols) \r\n solution_move = ''\r\n if self.get_number(0,0) == 0 and \\\r\n self.get_number(0,1) == 1:\r\n # print 'Congrads Puxxle is Aolved at start!!!!!'\r\n return ''\r\n #appropriate_number = (self._height * self._width) - 1\r\n appropriate_number = (rows+1) * (cols+1) -1\r\n # print 'First appropriate_number=',appropriate_number\r\n # print \"Grid first tile that we will solwing has value =\", self._grid[rows][cols]\r\n \r\n while counter < 300:\r\n counter +=1\r\n # print self\r\n #appropriate_number = (rows+1) * (cols+1) -1\r\n # print 'Appropriate number in loop=',appropriate_number\r\n # print 'We are solving %s index_row and %s index_col' %(rows, cols) \r\n ####Case when we use solve_interior_tile\r\n if rows > 1 and cols > 0:\r\n if self._grid[rows][cols] == appropriate_number:\r\n # print 'This tile is already solved!!!'\r\n cols -= 1\r\n appropriate_number -=1\r\n else:\r\n # print 'We are solving interior tile', (rows, cols)\r\n solution_move += self.solve_interior_tile(rows, cols)\r\n # print 'Solution move=', solution_move\r\n cols -= 1\r\n #### Case when we use solve_col0_tile\r\n elif rows > 1 and cols == 0:\r\n if self._grid[rows][cols] == appropriate_number:\r\n # print 'This tile is already solved!!!'\r\n rows -= 1\r\n cols = self._width-1\r\n appropriate_number -=1\r\n else:\r\n # print 'We are solwing tile 0 in row', rows\r\n # print 'Appropriate number here ='\r\n solution_move += self.solve_col0_tile(rows)\r\n # print 'Solution move=', solution_move\r\n rows -=1\r\n cols = self._width-1\r\n\r\n\r\n #### Cases when we use solve_row0_tile\r\n elif rows == 1 and cols > 1:\r\n if self._grid[rows][cols] == appropriate_number:\r\n # print 'This tile is already solved!!!'\r\n rows -= 1\r\n #cols = self._width-1\r\n appropriate_number -= self._width\r\n\r\n else:\r\n # print 'Solving upper 2 rows right side'\r\n solution_move += self.solve_row1_tile(cols)\r\n rows -=1\r\n appropriate_number -= self._width\r\n #### Cases when we use solve_row1_tile \r\n if rows < 1 and cols > 1:\r\n if self._grid[rows][cols] == appropriate_number:\r\n # print 'This tile is already solved!!!'\r\n rows += 1\r\n cols -= 1\r\n appropriate_number +=self._width-1\r\n else:\r\n # print '(1,J) tile solved, lets solwe tile (0,j) in tile',(rows,cols)\r\n # print 'Greed after move solve_row1_tile'\r\n # print self\r\n solution_move += self.solve_row0_tile(cols)\r\n rows +=1\r\n cols -=1\r\n appropriate_number +=self._width-1\r\n\r\n\r\n #### Case when we use solve_2x2\r\n elif rows <= 1 and cols <= 1:\r\n # print 'We are solving 2x2 puzzle'\r\n solution_move += self.solve_2x2()\r\n if self._grid[0][0] == 0 and \\\r\n self._grid[0][1] == 1:\r\n # print 'Congrads Puxxle is SOLVED!!!!!'\r\n break\r\n\r\n\r\n\r\n\r\n if counter > 100:\r\n # print 'COUNTER BREAK'\r\n break\r\n # print solution_move, len(solution_move)\r\n return solution_move\r\n\r\n\r\n\r\n\r\n\r\n\r\n # for row in solution_greed._grid[::-1]:\r\n # print solution_greed._grid\r\n # print 'Row =',row\r\n \r\n # if solution_greed._grid.index(row) > 1:\r\n # print \"Case when we solwing Interior and Tile0 part\"\r\n \r\n\r\n # for col in solution_greed._grid[solution_greed._grid.index(row)][::-1]:\r\n # print 'Coloumn value=', col\r\n #print row[0]\r\n # if col !=row[0]:\r\n # print 'Case when we use just Interior tile solution'\r\n # print solution_greed._grid.index(row)\r\n # print row.index(col)\r\n \r\n # solution += solution_greed.solve_interior_tile(solution_greed._grid.index(row) , row.index(col))\r\n # print 'Solution =', solution\r\n # print self \r\n # print solution_greed._grid\r\n # elif col ==row[0]:\r\n # print 'Case when we use just Col0 solution'\r\n\r\n # else:\r\n # print 'Case when we solwing first two rows'\r\n\r\n #return \"\"\r","def make_grid(n, gl=False):\n\n if gl:\n low = 0.0 # Lower Range\n high = 1.0\n p = 0.5\n\n # The method here uses 2*n points so halve it\n n, r, wt = GridGenerator.gaussp(low, high, n//2)\n r = np.concatenate((r, np.zeros((n))))\n wt = np.concatenate((wt, np.zeros((n))))\n for i in range(n):\n r[2*n-(i+1)] = (1.0/r[i])**2\n wt[2*n-(i+1)] = (wt[i]/p)*r[2*n - (i+1)]**1.5\n else:\n n, r, wt = GridGenerator.radial_chebyshev(n)\n\n return n, r, wt","def generate_julia(self, iterations, c):\n if self.grid is None:\n raise RuntimeError(\"Grid hasn't been setup - call set_grid first.\")\n # Define the tensorflow variables\n c_val = tf.constant(np.full(shape=self.grid.shape, fill_value=c, dtype=self.grid.dtype))\n z = tf.Variable(self.grid)\n n = tf.Variable(tf.zeros_like(c_val, tf.float32))\n # Start the tensorflow session\n with tf.Session():\n tf.global_variables_initializer().run()\n # Define the main julia algorithm - either take the square plus x, or keep z\n\n z_out = tf.where(tf.abs(z) < self.threshold, z ** 2 + c_val, z)\n not_diverged = tf.abs(z_out) < self.threshold\n step = tf.group(z.assign(z_out), n.assign_add(tf.cast(not_diverged, tf.float32)))\n\n for i in range(iterations):\n step.run()\n self.end_step = n.eval()\n self.end_z = z_out.eval()","def step_through_generations(self, num_steps):\n for island in self._islands:\n for _ in range(num_steps):\n island.execute_generational_step()\n self.archipelago_age += num_steps","def greedy(self):\n n_step_t = self.filter['n_step_t']\n n_traj = self.filter['n_traj']\n traj = self.filter['traj']\n steps = [0 for i in xrange(n_step_t)]\n for i in xrange(n_traj):\n n_step = traj[i]['n_step']\n for j in xrange(n_step):\n steps[j] += 1\n self.filter['steps'] = steps\n \n return","def push_up (grid):\r\n for a in range (4): \r\n for i in range(3,0,-1): \r\n for j in range(4): \r\n if grid[i-1][j]==0: \r\n grid[i-1][j]=grid[i][j] \r\n grid[i][j]=0\r\n #joining like numbers \r\n for i in range(3): \r\n for j in range(4): \r\n if grid[i][j]==grid[i+1][j]: \r\n grid[i][j]=(grid[i][j])*2\r\n grid[i+1][j]=0\r\n #pafter adding the numbers continue to move them \r\n for a in range (4): \r\n for i in range(3,0,-1): \r\n for j in range(4): \r\n if grid[i-1][j]==0: \r\n grid[i-1][j]=grid[i][j] \r\n grid[i][j]=0","def part2():\n grid[(0, 0)] = 1\n coordinates_value = 0\n layer = 1\n x = 0; y = 0\n done = False\n while not done:\n # print(\"Layer: \", layer)\n # go right one step\n layer += 1; x += 1\n grid[(x,y)] = check_neighbours((x,y))\n\n # go up to the boundary of layer\n for y_up in range(y+1, layer):\n coord = (x, y_up)\n coordinates_value = check_neighbours(coord)\n if coordinates_value > puzzle_input:\n return coordinates_value\n y = y_up\n\n # go left till the boundary of layer\n for x_left in range(x-1, -layer, -1):\n coord = (x_left, y)\n coordinates_value = check_neighbours(coord)\n if coordinates_value > puzzle_input:\n return coordinates_value\n x = x_left\n\n # go down till the boundary of layer\n for y_down in range(y-1, -layer, -1):\n coord = (x, y_down)\n coordinates_value = check_neighbours(coord)\n if coordinates_value > puzzle_input:\n return coordinates_value\n y = y_down\n\n # go right till the boundary of layer\n for x_right in range(x+1, layer):\n coord = (x_right, y)\n coordinates_value = check_neighbours(coord)\n if coordinates_value > puzzle_input:\n return coordinates_value\n x = x_right","def generate_grid():\n y_offset = -10\n for a in range(20):\n # Line 1\n # Adds offset to the x position of the squares\n x_offset = 10\n for b in range(1):\n # Adds offset to the y position of the squares\n y_offset += 20\n for c in range(20):\n # Prints a row of squares(5 squares along the x)\n square(x_offset, y_offset, 20, 20, dark_green)\n for d in range(1):\n # Adds x offset for the next line of squares on the y axis\n x_offset += 40\n # Line 2 (needs 2 lines because the offset of each line)\n # Adds offset to the x position of the squares\n x_offset = 30\n for e in range(1):\n # Adds offset to the y position of the squares\n y_offset += 20\n for f in range(20):\n # Prints a row of squares(5 squares along the x)\n square(x_offset, y_offset, 20, 20, dark_green)\n for g in range(1):\n # Adds x offset for the next line of squares on the y axis\n x_offset += 40","def start_points(n, world):\n world[0, 0] = 1\n world[n-1, n-1] = 1\n world[0, n-1] = 1\n world[n-1, 0] = 1\n world[np.round(n/2).astype(int)][np.round(n/2).astype(int)] = 1\n return world","def step(self):\n lmax = 32\n\n star = self.star\n\n M, K, N = star.mesh_size\n ph = star.phi_coords\n mu = star.mu_coords\n r = star.r_coords\n\n def D1(t, s, m):\n return 1 / 3 * np.sum((ph[2::2] - ph[:-2:2]) *\n (np.cos(m * ph[:-2:2] * star.rho[:-2:2, t, s])\n + 4 * np.cos(m * ph[1:-1:2] * star.rho[1:-1:2, t, s]) +\n np.cos(m * ph[2::2] * star.rho[2::2, t, s])))\n\n def D2(s, l, m):\n sum = 0\n for t in range(0, K - 2, 2):\n sum += (mu[t + 2] - mu[t]) * (lpmv(m, l, mu[t]) * D1(t, s, m) +\n 4 * lpmv(m, l, mu[t + 1]) * D1(t + 1, s, m) +\n lpmv(m, l, mu[t + 2]) * D1(t + 2, s, m))\n\n return sum / 3\n\n def D3(l, m, k):\n sum = 0\n\n def fl(r_dash, r):\n if r_dash < r:\n return r_dash**(l + 2) / r**(l + 1)\n else:\n return r**l / r_dash**(l - 1)\n\n for s in range(0, N - 2, 2):\n sum += (r[s + 2] - r[s]) * (fl(r[s], r[k]) * D2(s, l, m) +\n 4 * fl(r[s + 1], r[k]) * D2(s + 1, l, m) +\n fl(r[s + 2], r[k]) * D2(s + 2, l, m))\n\n return sum / 6\n\n def calc_Phi(i, j, k):\n Phi = 0\n\n for l in range(lmax + 1):\n for m in range(min(l + 1, 2)):\n if (m + l % 2 == 1):\n continue\n if m == 0:\n eps = 1\n else:\n eps = 2\n Phi -= eps / factorial(1 + m) * \\\n D3(l, m, k) * lpmv(m, l, mu[j]) * np.cos(m * ph[i])\n\n return Phi\n\n # calculate Phi across grid\n for n in range(N):\n for k in range(K):\n for m in range(M):\n star.Phi[m, k, n] = calc_Phi(m, k, n)\n\n print(f'Phi = {star.Phi[0,0,:]}')\n\n # update the enthalpy\n\n Omega2 = star.eos.Omega2(star.Phi, star.Psi)\n C = star.eos.C(star.Phi, star.Psi)\n\n H = C - star.Phi - Omega2 * star.Psi\n\n # use new enthalpy and Phi to calculate the density\n\n star.rho = star.eos.rho_from_h(H)\n star.rho /= np.max(star.rho)\n\n print(f\"rho = {np.average(star.rho[:,0,:], axis=0)}\")\n\n # make sure density is always non-negative\n # star.rho[star.rho < 0] = 0\n\n print(f\"rho = {np.average(star.rho[:,0,:], axis=0)}\")\n\n # calculate the errors\n\n H_err = np.max(np.abs(H - star.H)) / np.max(np.abs(H))\n\n if np.max(Omega2) == 0:\n if np.abs(Omega2 - star.Omega2) == 0:\n Omega2_err = 0\n else:\n Omega2_err = 1\n else:\n Omega2_err = np.abs(Omega2 - star.Omega2) / np.abs(Omega2)\n\n if np.max(star.C) == 0:\n if np.abs(C - star.C) == 0:\n C_err = 0\n else:\n C_err = 1\n else:\n C_err = np.abs(C - star.C) / np.abs(star.C)\n\n # set variables to new values\n\n star.H = H\n star.Omega2 = Omega2\n star.C = C\n print(\n f\"Errors: H_err = {H_err}, Omega2_err = {Omega2_err}, C_err = {C_err}\")\n\n return H_err, Omega2_err, C_err","def batch_steps(num_examples, batch_size):\n steps = num_examples // batch_size\n if num_examples % batch_size > 0:\n steps += 1\n return steps","def __generate_goal_board(self):\n element = 1\n array = []\n\n for row in range(self._n):\n row_to_append = []\n for col in range(self._n):\n row_to_append.append(element)\n element += 1\n array.append(row_to_append)\n\n array[self._n - 1][self._n - 1] = 0\n self._solved_board = Board(array=array, space=[self._n - 1, self._n - 1])","def WarpStep(iters=5):\n MSG(\"WarpStep\")\n for j in range(iters):\n warp.step()\n return","def dynamic_iteration(k, n):\n # If only one egg remains, n attempts must be made to find the correct floor.\n if k == 1:\n return n\n # Lookup table for previous solutions.\n W = [[0 for y in range(n + 1)] for x in range(k)]\n # Initialize the first row.\n for i in range(n + 1):\n W[0][i] = i\n # Start on second row, working downward.\n for i in range(1, k):\n # Calculate values for each cell.\n for j in range(1, n + 1):\n W[i][j] = min((max(W[i][j - x], W[i - 1][x - 1]) for x in range(1, j + 1))) + 1\n # Return the result.\n return W[k - 1][n]","def _compute_step_sizes(self, number_knots, knots):\n # expected bounds on the knots sequence\n x_lower = self.model.workers.lower\n x_upper = self.model.workers.upper\n\n if (number_knots is not None) and (knots is None):\n step_size = (x_upper - x_lower) / (number_knots - 1)\n step_sizes = np.repeat(step_size, number_knots - 1)\n elif (number_knots is None) and (knots is not None):\n #assert knots[0] == x_lower\n #assert knots[-1] == x_upper\n step_sizes = np.diff(knots, 1)\n else:\n raise ValueError(\"Either 'number_knots' or 'knots' must be specified!\")\n \n if self.model.assortativity == 'positive':\n step_sizes = step_sizes[::-1]\n\n return step_sizes","def calculateAllCosts(self, goalCol, goalRow, maxIters):\n\n if (goalCol == self.lastGoalDistCol and\n goalRow == self.lastGoalDistRow):\n return\n\n startTime = time.time()\n print \"Calculating all costs given the current goal.\"\n self.distanceToGoal=[[self.infinity for col in range(self.cols)]\n for row in range(self.rows)]\n if not self.inRange(goalRow, goalCol):\n raise Exception('goalOutOfMapRange')\n self.distanceToGoal[goalRow][goalCol] = 0.0\n\n for iter in range (maxIters):\n\t valuesChanged = 0\n\t if (self.showIterations):\n print \"Displaying result after iteration:\",iter\n self.redraw(self.distanceToGoal, stepByStep=1)\n\t self.frame.update()\n time.sleep(1)\n for row in range(self.rows):\n for col in range(self.cols):\n for i in [-1,0,1]:\n for j in [-1,0,1]:\n if self.inRange(row+i, col+j):\n if self.grid[row][col] > self.threshhold:\n self.distanceToGoal[row][col] = self.infinity\n else:\n if abs(i) == 0 and abs(j) == 0:\n d = 0.00\n elif abs(i) == 1 and abs(j) == 1:\n if self.tooTight(row, col, i, j):\n d = self.infinity\n\t\t\t else:\n d = 1.41\n else:\n d = 1.00\n adj = self.distanceToGoal[row+i][col+j] + self.grid[row+i][col\n+j] + d\n\t\t\t if (adj < self.distanceToGoal[row][col]):\n\t\t\t valuesChanged += 1\n self.distanceToGoal[row][col] = min(self.distanceToGoal[row][col], adj)\n\n if valuesChanged == 0:\n\t endTime = time.time()\n\t print \"Value iteration converged after %d iterations.\" % iter\n\t print \"Time elapsed %0.3f ms.\" % ((endTime-startTime)*1000.0)\n\t break","def g_iter(n):\n \"*** YOUR CODE HERE ***\"\n g1, g2, g3, cur, ind = 1, 2, 3, 0, 3\n if n < 3:\n return n\n else:\n while ind < n:\n cur = g3 + 2 * g2 + 3 * g1\n ind += 1\n g1, g2, g3 = g2, g3, cur\n return g3","def push_down (grid):\r\n \r\n #moves values down\r\n for row in range (3,0,-1):\r\n for column in range (4):\r\n if grid[row][column]==0 and grid[row-1][column]!=0:\r\n grid[row][column]=grid[row-1][column]\r\n grid[row-1][column]=0\r\n \r\n #moves values down\r\n for row in range (3,0,-1):\r\n for column in range (4):\r\n if grid[row][column]==0 and grid[row-1][column]!=0:\r\n grid[row][column]=grid[row-1][column]\r\n grid[row-1][column]=0 \r\n \r\n #checks for similar values and combines whilst ensuring values dont get added twice\r\n check_row=-1\r\n check_column=-1\r\n for row in range (0,3):\r\n for column in range (4):\r\n #check if values have been added already\r\n if row==check_row and column==check_column:\r\n continue\r\n \r\n elif grid[row][column]==grid[row+1][column]:\r\n grid[row+1][column]= 2*grid[row][column]\r\n grid[row][column]=0\r\n check_row=row+1\r\n check_column=column\r\n \r\n elif grid[row+1][column] == 0:\r\n grid[row+1][column]=grid[row][column]\r\n grid[row][column]=0\r\n \r\n \r\n for row in range (3,0,-1):\r\n for column in range (4):\r\n if grid[row][column]==0 and grid[row-1][column]!=0:\r\n grid[row][column]=grid[row-1][column]\r\n grid[row-1][column]=0 \r\n \r\n for row in range (3,0,-1):\r\n for column in range (4):\r\n if grid[row][column]==0 and grid[row-1][column]!=0:\r\n grid[row][column]=grid[row-1][column]\r\n grid[row-1][column]=0","def Compute_Grid(Idx, Coeff, q_max, rules, growth, LevelMax, sc, p, tol ):\n\n seed = 123456789\n #Coeff= Sandia.calculate_coefficients(Idx, q_max)\n new_np = Sandia.max_next_points(Idx, Coeff, rules, growth)\n points = Sandia.weights_and_points(new_np, LevelMax, Idx, Coeff, growth, rules, sc, p)\n N_Unique, sparse_index = Sandia.unique_points(seed, tol, points)\n return Sandia.reduce_points_and_weights(N_Unique, points, Idx, sparse_index, Coeff, growth, rules, sc, p)","def regex_grid(n):\n cx = 2 ** (n - 1)\n cy = 2 ** (n - 1)\n grid = [[grid_numbering(n, i , j, cx, cy) for i in range(2 ** n)] for j in range(2 ** n)]\n \n return grid","def infinite_dmrg_step(system, current_size, number_of_states_kept):\n set_hamiltonian_to_AF_Heisenberg(system)\n ground_state_energy, ground_state_wf = system.calculate_ground_state()\n entropy, truncation_error = grow_block_by_one_site('left', ground_state_wf, \n\t\t system, \n\t\t\t\t\t\t number_of_states_kept)\n system.right_block = system.left_block\n return ground_state_energy / current_size, entropy, truncation_error","def xSteps(self,start,ziel,steps=10):\n erg=[]\n wert=(ziel-start)/(steps)\n for i in range(1, steps+1):\n erg.append(round(start+wert*i,2))\n return erg","def echelon_with_steps(aug_matrix: list) -> list:\n new_value = aug_matrix[:]\n\n # Loop through each row\n print(\"Steps begins here\")\n for i, current in enumerate(new_value):\n\n # Check if it's a potential pivot\n if i < len(new_value) - 1:\n\n # Elimate all in the same column beside the pivot\n for j in range(i + 1, len(new_value)):\n coef = new_value[j][i] / current[i]\n new_value[j] = minus(new_value[j], times(coef, current))\n\n # printing the grid in 2D\n for row in new_value:\n print(row)\n print(\"vvvvvvv\")\n return new_value","def steps(self, step_count):\n self.dir.value(0 if step_count > 0 else 1)\n for i in range(abs(step_count)):\n self.stp.value(1)\n sleep_us(self.step_time)\n self.stp.value(0)\n sleep_us(self.step_time)\n self.current_position += step_count"],"string":"[\n \"def grid_traveller(m: int, n: int):\\n\\n if m == 1 and n == 1:\\n return 1\\n if m == 0 or n == 0:\\n return 0\\n return grid_traveller(m - 1, n) + grid_traveller(m, n - 1)\",\n \"def recursion_loop(pulls, discount, grid_n):\\n\\n r_grid = np.linspace(0, 1, grid_n)\\n gittins, values = initial_approximation(pulls, discount, grid_n)\\n n = pulls - 2 # Note that the 2 comes from (1) the initial approximation and (2) python indexing\\n while n >= 1:\\n g, v = recursion_step(values[:n + 1, n, :], r_grid, discount)\\n values[:n, n - 1] = v\\n gittins[:n, n - 1] = g\\n n -= 1\\n return gittins, values\",\n \"def final_coord(steps):\\n return reduce(add, steps, (0, 0))\",\n \"def get_next_steps(self, steps):\\n for step in range(steps):\\n # Actual calulation: Runge-Kutta 2\\n\\n # Step 1\\n k1 = [\\n self.vel * self.dt,\\n self.get_next_acc() * self.dt\\n ]\\n\\n # Step 2\\n next_pos = self.pos + k1[0] * 0.5\\n next_vel = self.vel + k1[1] * 0.5\\n self.disps, self.dists = self.get_relative_distances(positions=next_pos)\\n k2 = [\\n next_vel * self.dt,\\n self.get_next_acc(save=False) * self.dt\\n ]\\n\\n # Step 3\\n next_pos = self.pos + k2[0] * 0.5\\n next_vel = self.vel + k2[1] * 0.5\\n self.disps, self.dists = self.get_relative_distances(positions=next_pos)\\n k3 = [\\n next_vel * self.dt,\\n self.get_next_acc(save=False) * self.dt\\n ]\\n\\n # Step 4\\n next_pos = self.pos + k3[0]\\n next_vel = self.vel + k3[1]\\n self.disps, self.dists = self.get_relative_distances(positions=next_pos)\\n k4 = [\\n next_vel * self.dt,\\n self.get_next_acc(save=False) * self.dt\\n ]\\n\\n # Move forward\\n self.pos = self.pos + 1/6 * (k1[0] + 2*k2[0] + 2*k3[0] + k4[0])\\n self.vel = self.vel + 1/6 * (k1[1] + 2*k2[1] + 2*k3[1] + k4[1])\\n\\n # Saving of statistics\\n self.save_system_information(self.pos, self.vel)\",\n \"def grid_step(self, axis):\\n if self.sizes[axis] != 1:\\n return (self.bounds[axis][1] - self.bounds[axis][0]) / (self.sizes[axis] - 1)\",\n \"def dynamic_programming_path_counter(grid_size):\\n G = [1] * grid_size\\n for i in range(grid_size):\\n for j in range(i):\\n G[j] = G[j] + G[j-1]\\n G[i] = 2 * G[i - 1]\\n return G[grid_size - 1]\",\n \"def total_steps(self) -> global___Expression:\",\n \"def echelon_with_steps(self):\\n new_value = [self.matrix[i] + [self.result[i]] for i in range(len(self.matrix))]\\n\\n # Loop through each row\\n print(\\\"Step begin here\\\")\\n for i, current in enumerate(new_value):\\n\\n # Check if it's a potential pivot\\n if i < len(new_value) - 1:\\n\\n # Elimate all in the same column beside the pivot\\n for j in range(i + 1, len(new_value)):\\n coef = new_value[j][i] / current[i]\\n new_value[j] = minus(new_value[j], times(coef, current))\\n\\n # printing the grid in 2D\\n for row in new_value:\\n print(row)\\n print(\\\"vvvvvvv\\\")\\n return new_value\",\n \"def figure_out_grid(tot):\\n guess = np.round(np.sqrt(tot))\\n\\n dims = [guess,guess]\\n\\n flag = True\\n\\n while(flag):\\n if dims[0]*dims[1] < tot:\\n dims[0] += 1\\n flag = True\\n elif dims[0]*dims[1] >tot and dims[0]*dims[1] <(tot-dims[1]):\\n dims[0] -= 1\\n flag = True\\n else:\\n flag = False\\n return tuple(dims)\",\n \"def gen_grids(self):\\n self.dx = self.grid_width / self.grid_resol\\n self.dk = 2 * np.pi/self.grid_width\\n self.grid_x_shifted = -self.grid_width/2 + self.dx * np.arange(0, self.grid_resol)\\n self.grid_x = self.grid_x_shifted + self.grid_center\\n self.grid_k = - (np.pi * self.grid_resol)/self.grid_width + self.dk * np.arange(0, self.grid_resol)\\n self.grid_k = np.roll(self.grid_k, int((self.grid_resol)/2))\\n self.grid_kin = np.square(self.h)/ (2*self.m) * np.square(self.grid_k)\",\n \"def create_grids(self):\\n \\n par = self.par\\n\\n # a. retirement\\n \\n # pre-decision states\\n par.grid_m_ret = nonlinspace(par.eps,par.m_max_ret,par.Nm_ret,par.phi_m)\\n par.Nmcon_ret = par.Nm_ret - par.Na_ret\\n \\n # post-decision states\\n par.grid_a_ret = nonlinspace(0,par.a_max_ret,par.Na_ret,par.phi_m)\\n \\n # b. working: state space (m,n,k) \\n par.grid_m = nonlinspace(par.eps,par.m_max,par.Nm,par.phi_m)\\n\\n par.Nn = par.Nm\\n par.n_max = par.m_max + par.n_add\\n par.grid_n = nonlinspace(0,par.n_max,par.Nn,par.phi_n)\\n\\n par.grid_n_nd, par.grid_m_nd = np.meshgrid(par.grid_n,par.grid_m,indexing='ij')\\n\\n # c. working: w interpolant (and wa and wb and wq)\\n par.Na_pd = np.int_(np.floor(par.pd_fac*par.Nm))\\n par.a_max = par.m_max + par.a_add\\n par.grid_a_pd = nonlinspace(0,par.a_max,par.Na_pd,par.phi_m)\\n \\n par.Nb_pd = np.int_(np.floor(par.pd_fac*par.Nn))\\n par.b_max = par.n_max + par.b_add\\n par.grid_b_pd = nonlinspace(0,par.b_max,par.Nb_pd,par.phi_n)\\n \\n par.grid_b_pd_nd, par.grid_a_pd_nd = np.meshgrid(par.grid_b_pd,par.grid_a_pd,indexing='ij')\\n \\n # d. working: egm (seperate grids for each segment)\\n \\n if par.solmethod == 'G2EGM':\\n\\n # i. dcon\\n par.d_dcon = np.zeros((par.Na_pd,par.Nb_pd),dtype=np.float_,order='C')\\n \\n # ii. acon\\n par.Nc_acon = np.int_(np.floor(par.Na_pd*par.acon_fac))\\n par.Nb_acon = np.int_(np.floor(par.Nb_pd*par.acon_fac))\\n par.grid_b_acon = nonlinspace(0,par.b_max,par.Nb_acon,par.phi_n)\\n par.a_acon = np.zeros(par.grid_b_acon.shape)\\n par.b_acon = par.grid_b_acon\\n\\n # iii. con\\n par.Nc_con = np.int_(np.floor(par.Na_pd*par.con_fac))\\n par.Nb_con = np.int_(np.floor(par.Nb_pd*par.con_fac))\\n \\n par.grid_c_con = nonlinspace(par.eps,par.m_max,par.Nc_con,par.phi_m)\\n par.grid_b_con = nonlinspace(0,par.b_max,par.Nb_con,par.phi_n)\\n\\n par.b_con,par.c_con = np.meshgrid(par.grid_b_con,par.grid_c_con,indexing='ij')\\n par.a_con = np.zeros(par.c_con.shape)\\n par.d_con = np.zeros(par.c_con.shape)\\n \\n elif par.solmethod == 'NEGM':\\n\\n par.grid_l = par.grid_m\\n\\n # e. shocks\\n assert (par.Neta == 1 and par.var_eta == 0) or (par.Neta > 1 and par.var_eta > 0)\\n\\n if par.Neta > 1:\\n par.eta,par.w_eta = log_normal_gauss_hermite(np.sqrt(par.var_eta), par.Neta)\\n else:\\n par.eta = np.ones(1)\\n par.w_eta = np.ones(1)\\n\\n # f. timings\\n par.time_work = np.zeros(par.T)\\n par.time_w = np.zeros(par.T)\\n par.time_egm = np.zeros(par.T)\\n par.time_vfi = np.zeros(par.T)\",\n \"def gridgen4(num_points, diameter, min_dist, n_miss_max=10000):\\n\\n # Grid size and scaling onto the grid\\n grid_size = min(100, int(floor(float(diameter) / min_dist)))\\n grid_cell = float(diameter) / grid_size # Grid sector cell size\\n scale = 1.0 / grid_cell # Scaling onto the sector grid.\\n print('- Grid size: %i' % grid_size)\\n print('- Grid cell: %f' % grid_cell)\\n\\n r = diameter / 2.0 # Radius\\n r_sq = r**2 # Radius, squared\\n min_dist_sq = min_dist**2 # minimum distance, squared\\n\\n # Pre-allocate coordinate arrays\\n x = numpy.zeros(num_points)\\n y = numpy.zeros(num_points)\\n\\n # Grid meta-data\\n next = numpy.zeros(num_points, dtype='i8') # Next coordinate index.\\n h1 = -numpy.ones((grid_size, grid_size), dtype='i8') # First index in the grid\\n h2 = -numpy.ones((grid_size, grid_size), dtype='i8') # Last index in the grid\\n grid_count = numpy.zeros((grid_size, grid_size), dtype='i8') # Points in grid cell.\\n\\n n = num_points\\n n_req = num_points\\n num_miss = 0\\n for j in range(n_req):\\n\\n # First time no need to check the minimum distance req, just needs\\n # to be inside the diameter.\\n if j == 0:\\n done = False\\n while not done:\\n x[j], y[j] = get_trail_position(r)\\n done = (x[j]**2 + y[j]**2) <= r_sq\\n jx, jy = grid_position(x[j], y[j], scale, r)\\n grid_count[jx, jy] += 1\\n h1[jx, jy] = 0\\n h2[jx, jy] = 0\\n\\n # All other points have to be inside the diameter and match the\\n # minimum separation requirements.\\n else:\\n done = False\\n while not done:\\n xt, yt = get_trail_position(r)\\n\\n # Check if the point is inside the diameter\\n if (xt**2 + yt**2) > r_sq:\\n num_miss += 1\\n else:\\n # Scale onto grid.\\n jx, jy = grid_position(xt, yt, scale, r)\\n # Find minimum distance to other points\\n y0 = max(0, jy - 1)\\n y1 = min(grid_size - 1, jy + 1)\\n x0 = max(0, jx - 1)\\n x1 = min(grid_size - 1, jx + 1)\\n dmin_sq = diameter\\n for ky in range(y0, y1 + 1):\\n for kx in range(x0, x1 + 1):\\n if grid_count[kx, ky] > 0:\\n kh1 = h1[kx, ky]\\n for kh in range(grid_count[kx, ky]):\\n dx = xt - x[kh1]\\n dy = yt - y[kh1]\\n dist_sq = dx**2 + dy**2\\n dmin_sq = min(dist_sq, dmin_sq)\\n kh1 = next[kh1]\\n\\n # Check if the minimum distance requirement is met.\\n if dmin_sq >= min_dist_sq:\\n x[j] = xt\\n y[j] = yt\\n if h1[jx, jy] == -1:\\n h1[jx, jy] = j\\n else:\\n next[h2[jx, jy]] = j\\n h2[jx, jy] = j\\n grid_count[jx, jy] += 1\\n num_miss = 0\\n done = True\\n else:\\n num_miss += 1\\n\\n if num_miss >= n_miss_max:\\n n = j - 1\\n done = True\\n\\n if num_miss >= n_miss_max:\\n break\\n\\n if n < n_req:\\n x = x[0:n]\\n y = y[0:n]\\n\\n return x, y\",\n \"def makeGrid(self):\\n self.h = self.step_x\\n self.k = self.step_t\\n self.t, self.x = np.meshgrid(np.arange(self.min_t, self.max_t, self.step_t), np.arange(self.min_x, self.max_x\\n , self.step_x))\",\n \"def next_step(self):\\n\\n c = 1\\n dt = 0.001\\n dx = 1 / 20**2\\n\\n # copy current state first\\n next_state = np.copy(self.state)\\n\\n # iterate over matrix\\n for i in range(self.width - 1):\\n for j in range(self.height - 1):\\n\\n if not self.shape == \\\"circle\\\" or self.circle[i, j] == 1:\\n\\n # left bottom corner\\n if i == 0 and j == 0:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + 0\\\\\\n + 0 + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i, j]\\n # right top corner\\n elif i == 0 and j == self.height - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (0 + self.state[i + 1, j]\\\\\\n + self.state[i, j - 1] + 0\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n # right bottom corner\\n elif i == self.width - 1 and j == 0:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i, j - 1] + 0\\\\\\n + 0 + self.state[i - 1, j]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n # left bottom corner\\n elif i == self.width - 1 and j == self.height - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i, j - 1] + self.state[i - 1, j]\\\\\\n + 0 + 0\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif i == 0: # j is not 0\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + 0\\\\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif j == 0:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\\\\n + 0 + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif i == self.width - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (0 + self.state[i - 1, j]\\\\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif j == self.height - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\\\\n + self.state[i, j - 1] + 0\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n else:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n\\n self.prev_state = np.copy(self.state)\\n self.state = np.copy(next_state)\\n\\n self.timestep += 1\",\n \"def filled_grid(n):\\n\\n i = 0\\n r, c = 1, 1\\n while r * c < n:\\n if i % 2:\\n r += 1\\n else:\\n c += 1\\n\\n i += 1\\n\\n return r, c\",\n \"def DrawGrid(self, count):\\n for i in range(0, self.width, self.incr):\\n self.canvas.create_line(i, 100, i, 700, fill = \\\"#696969\\\", width = 1)\\n for i in range(100, 800, 100):\\n self.canvas.create_line(0, i, self.width, i, fill = \\\"#696969\\\", width = 1)\\n self.canvas.create_rectangle(self.incr * 4, self.height - self.incr * 3.5,\\n self.width - self.incr * 4, self.height, fill = \\\"black\\\", width = 3)\\n for i in range(int(self.height - self.incr * 3.5), self.height, int(self.incr / 4)):\\n self.canvas.create_line(self.incr * 4, i, self.width - self.incr * 4,\\n i, fill = \\\"#696969\\\", width = 1)\\n for i in range(self.incr * 4, self.width - self.incr * 4 + 1, int(self.incr / 4)):\\n self.canvas.create_line(i, self.height - self.incr * 3.5, i, self.height,\\n fill = \\\"#696969\\\", width = 1)\",\n \"def Green_func(self):\\n if self.bc == True:\\n size = self.grid_size\\n else:\\n size = 2*self.grid_size\\n self.Green = np.zeros([size, size])\\n for x in range(len(self.Green[0])):\\n for y in range(len(self.Green[1])):\\n radius = np.sqrt(x**2 + y**2) \\n if radius < self.soften: \\n radius = self.soften\\n self.Green[x, y]=1/(4 * np.pi * radius)\\n if self.grid_size%2 == 0: \\n self.Green[: size//2, size//2 : ] = np.flip(self.Green[: size//2, : size//2], axis = 1) # an intermittent step - the original grid has only been flipped once (2 x the original size)\\n self.Green[ size//2 : , :] = np.flip(self.Green[: size//2, :], axis = 0)\\n else: \\n print(\\\"Exiting - Grid size is currently odd. Pleaset set to an even value.\\\")\",\n \"def _incremental_steps(start, end, steps, stepsize=None):\\n if stepsize is None: step_size = (end - start) / np.maximum((steps - 1), 1)\\n gradient = []\\n for i in range(steps):\\n value = start + step_size * i\\n gradient.append(value)\\n\\n return gradient[0:steps]\",\n \"def grid(gmin, gmax, gstep):\\n n_vals = int((gmax - gmin)/gstep + 1)\\n my_grid = linspace(gmin, gmax, n_vals)\\n return my_grid\",\n \"def swipeBase (self) :\\n grid = self.grid\\n\\n #we start by putting every tile up\\n for columnNbr in range(4) :\\n nbrZeros = 4 - np.count_nonzero(grid[:,columnNbr])\\n\\n for lineNbr in range(4) :\\n counter = 0\\n while (grid[lineNbr, columnNbr] == 0) and (counter < 4):\\n counter += 1\\n if np.count_nonzero(grid[lineNbr:4, columnNbr]) != 0 :\\n for remainingLine in range (lineNbr, 3) :\\n grid[remainingLine, columnNbr] = grid[remainingLine+1, columnNbr]\\n grid[3, columnNbr] = 0\\n\\n #now we do the additions\\n for lineNbr in range(3) :\\n if grid[lineNbr, columnNbr] == grid[lineNbr+1, columnNbr] :\\n grid[lineNbr, columnNbr] *= 2\\n for remainingLine in range (lineNbr+1, 3) :\\n grid[remainingLine, columnNbr] = grid[remainingLine+1, columnNbr]\\n grid[3, columnNbr] = 0\\n\\n return (grid)\",\n \"def main():\\n\\n rules = parse_input(get_input())\\n for part in [5, 18]:\\n image = np.array(START_PATTERN).astype(bool)\\n for i in range(part):\\n image = enlarge(image, rules)\\n count = sum(sum(ch for ch in row) for row in image)\\n\\n print(\\\"Number of # in the final matrix after {} iterations is {}.\\\".format(part, count))\\n return\",\n \"def get_cross_size_grid(n, m, grid):\\n grid = [[int(c == '#') for c in row] for row in grid]\\n acc = [[[0] * 4 for _ in range(m)] for _ in range(n)]\\n for i in range(n):\\n acc[i][0][L] = grid[i][0]\\n acc[i][-1][R] = grid[i][-1]\\n for j in range(1, m):\\n val = grid[i][j]\\n acc[i][j][L] = acc[i][j-1][L] + val if val else 0\\n val = grid[i][-j-1]\\n acc[i][-j-1][R] = acc[i][-j][R] + val if val else 0\\n for j in range(m):\\n acc[0][j][T] = grid[0][j]\\n acc[-1][j][B] = grid[-1][j]\\n for i in range(1, n):\\n val = grid[i][j]\\n acc[i][j][T] = acc[i-1][j][T] + val if val else 0\\n val = grid[-i-1][j]\\n acc[-i-1][j][B] = acc[-i][j][B] + val if val else 0\\n\\n for i in range(n):\\n for j in range(m):\\n grid[i][j] = min(acc[i][j])\\n return grid\",\n \"def grid(self):\\r\\n dimA = self.dimA ; dimC = self.dimA ; W_grid = self.W_grid\\r\\n \\r\\n self.tol = 10e-5\\r\\n self.Niter = 10000\\r\\n \\r\\n a0 = 100 / self.dimA\\r\\n c0 = 100 / self.dimA\\r\\n a_grid = np.mgrid[0:(dimA):1] ; a_grid = a0 * a_grid ; self.a_grid = a_grid\\r\\n c_grid = np.mgrid[0:(dimC):1] ; c_grid = c0 * c_grid ; self.c_grid = c_grid\\r\\n self.W_grid = W_grid\",\n \"def grid_animation(self, steps, figure_size=(12, 12), speed=100):\\r\\n\\r\\n steps -= 1\\r\\n x = self.seed\\r\\n\\r\\n fig, ax = plt.subplots(figsize=figure_size)\\r\\n ax.grid(False)\\r\\n ax.get_xaxis().set_visible(False)\\r\\n ax.get_yaxis().set_visible(False)\\r\\n color_map = matplotlib.colors.ListedColormap(['white', 'black'])\\r\\n im = plt.imshow(x[1:-1:1, 1:-1:1], interpolation='nearest', cmap=color_map, animated=True)\\r\\n counter = 0\\r\\n\\r\\n def update_figure(*args):\\r\\n nonlocal x, counter, fig\\r\\n\\r\\n counter += 1\\r\\n x, stats = self.update_grid(x)\\r\\n plt.title(self.title + ' | Step ' + str(counter), fontsize=14)\\r\\n im.set_array(x[1:-1:1, 1:-1:1])\\r\\n\\r\\n return im, # why is this comma necessary?\\r\\n\\r\\n ani = animation.FuncAnimation(fig, update_figure, frames=steps,\\r\\n interval=speed, blit=False, repeat=False)\\r\\n\\r\\n return ani\",\n \"def reduce(self, steps=1):\\n self.h -= steps\",\n \"def life_step(state):\\n\\t# For every cell each live cell in any of the 8 neighbouring cells contributes 1 to the sum\\n\\t# Rolling matricies is periodic so this implements periodic boundary conditions\\n\\tnumberOfNeigbours = sum(np.roll(np.roll(state, i, axis=0), j, axis=1)\\n\\t\\t\\t\\t\\t\\t for i in (-1,0,1) for j in (-1,0,1) if (i != 0 or j != 0))\\n\\n\\t# Any live cell with fewer than two live neighbours dies, as if caused by under-population\\n\\tstate = np.where(numberOfNeigbours < 2, 0, state)\\n\\t# Any live cell with more than three live neighbours dies, as if by over-population\\n\\tstate = np.where(numberOfNeigbours > 3, 0, state)\\n\\t# Any dead cell with exactly three live neighbours becomes a live cell, as if by reproduction.\\n\\tstate = np.where(numberOfNeigbours == 3, 1, state)\\n\\n\\treturn state\",\n \"def recursion_step(value_n, r_grid, discount):\\n\\n n = value_n.shape[0]\\n r_len = r_grid.shape[0]\\n value_n_minus_1 = np.zeros([n - 1, r_len]) # Value function length reduced by 1\\n gittins_n_minus_1 = np.zeros(n - 1) # Value function length reduced by 1\\n for k in range(0, n - 1):\\n a = k + 1 # a in range [1,n-1]\\n b = n - k - 1 # b in range [1,n-1]\\n value_n_minus_1[k, :] = np.maximum((r_grid / float(1 - discount)),\\n (a / float(n)) * (1 + discount * value_n[k + 1, :]) +\\n (b / float(n)) * discount * value_n[k, :]\\n )\\n try:\\n # Find first index where Value = (Value of Safe Arm)\\n idx_git = np.argwhere((r_grid / float(1 - discount)) == value_n_minus_1[k, :]).flatten()\\n gittins_n_minus_1[k] = 0.5 * (r_grid[idx_git[0]] + r_grid[idx_git[0] - 1]) # Take average\\n except:\\n print(\\\"Error in finding Gittins index\\\")\\n\\n return gittins_n_minus_1, value_n_minus_1\",\n \"def tab_grid_traveller(m: int, n: int):\\n\\n if m == 1 and n == 1:\\n return 1\\n\\n if m == 0 or n == 0:\\n return 0\\n\\n table = [[0 for j in range(n + 1)] for i in range(m + 1)] # Initialize table with m + 1 rows and n + 1 columns.\\n table[1][1] = 1\\n\\n for i in range(m + 1):\\n for j in range(n + 1):\\n if j + 1 <= n:\\n table[i][1 + j] = table[i][1 + j] + table[i][j]\\n if i + 1 <= m:\\n table[i + 1][j] = table[i + 1][j] + table[i][j]\\n\\n return table[m][n]\",\n \"def make_move(grid, n_columns, n_rows):\\r\\n # Generate the game grid to be manipulated\\r\\n new_grid = [[0] * (n_columns + 1) for i in range(n_rows + 1)]\\r\\n\\r\\n\\r\\n for i in range(n_rows):\\r\\n for j in range(n_columns):\\r\\n upper_left = grid[i-1][j-1] # neighbor to upper left of cell of interest\\r\\n upper = grid[i-1][j] # neighbor above cell of interest\\r\\n upper_right = grid[i-1][j+1] # neighbor to upper right of cell of interest\\r\\n left = grid[i][j-1] # neighbor to left of cell of interest\\r\\n right = grid[i][j+1] # neighbor to right of cell of interest\\r\\n bot_left = grid[i+1][j-1] # neighbor to bottom left cell of interest\\r\\n bot = grid[i+1][j] # neighbor below cell of interest\\r\\n bot_right = grid[i+1][j+1] # neighbor to bottom right of cell of interest\\r\\n\\r\\n # sum of the state of all neighbors\\r\\n on_neighbors = upper_left + upper + upper_right + left + right + bot_left + bot + bot_right\\r\\n\\r\\n # Any ON cell with fewer than two ON neighbors turns OFF\\r\\n if grid[i][j] == 1 and on_neighbors < 2:\\r\\n new_grid[i][j] = 0\\r\\n\\r\\n # Any ON cell with two or three ON neighbours stays ON\\r\\n elif grid[i][j] == 1 and (on_neighbors == 2 or on_neighbors == 3):\\r\\n new_grid[i][j] = 1\\r\\n\\r\\n # Any ON cell with more than three ON neighbors turns OFF\\r\\n elif grid[i][j] == 1 and on_neighbors > 3:\\r\\n new_grid[i][j] = 0\\r\\n\\r\\n # Any OFF cell with three ON neighbors turns ON\\r\\n elif grid[i][j] == 0 and on_neighbors == 3:\\r\\n new_grid[i][j] = 1\\r\\n\\r\\n return new_grid #manipulated game grid\\r\",\n \"def gd(a, step_size=0.1, steps=42):\\n out = []\\n ### YOUR CODE HERE\\n out.append(np.array([256,1]))\\n for i in range(steps):\\n point = out[i]\\n gradient = np.array([0.5*2*a[i],0.5*2*a[i+1]])\\n npoint = point - step_size*gradient\\n out.append(npoint)\\n ### END CODE\\n return out\",\n \"def calc_stepsize(self):\\n # Calculate step size\\n step = 1.0/((self.n+self.d)*np.max(np.sum(self.p, axis=0)))\\n return step\",\n \"def main():\\r\\n\\r\\n n_rows = 30\\r\\n n_columns = 80\\r\\n grid = [[0] * (n_columns + 1) for i in range(n_rows + 1)]\\r\\n initialize_grid(argv, grid)\\r\\n print_grid(n_rows, n_columns, grid)\\r\\n\\r\\n max_iterations = int(argv[1]) #argv imports as string, must change to int for count\\r\\n loop_count = 0\\r\\n\\r\\n while loop_count < max_iterations:\\r\\n # print the first grid with user inputs, then print all of the new grids\\r\\n if loop_count == 0:\\r\\n new_grid = make_move(grid, n_columns, n_rows)\\r\\n else:\\r\\n new_grid = make_move(new_grid, n_columns, n_rows)\\r\\n print_grid(n_rows, n_columns, new_grid)\\r\\n loop_count += 1\",\n \"def grid(min_val, max_val, step=1, *, num_dimensions=2):\\n axis = itertools.takewhile(lambda x: x <= max_val,\\n itertools.count(min_val, step))\\n axes = itertools.tee(axis, num_dimensions)\\n return itertools.product(*axes)\",\n \"def g_iter(n):\\n \\\"*** YOUR CODE HERE ***\\\"\\n vals = [1, 2, 3]\\n if n <= 3:\\n return vals[n-1]\\n for i in range(n - 3):\\n new_val = 3 * vals[0] + 2 * vals[1] + 1 * vals[2]\\n vals = vals[1:] + [new_val]\\n return vals[-1]\",\n \"def step(self):\\n lmax = 32\\n\\n star = self.star\\n\\n K, N = star.mesh_size\\n mu = star.mu_coords\\n r = star.r_coords\\n\\n def D1(k, n):\\n return 1 / 6 * np.sum((mu[2::2] - mu[:-2:2]) *\\n (eval_legendre(2 * n, mu[:-2:2]) * star.rho[:-2:2, k] +\\n 4 * eval_legendre(2 * n, mu[1:-1:2]) * star.rho[1:-1:2, k] +\\n eval_legendre(2 * n, mu[2::2]) * star.rho[2::2, k]))\\n\\n def D2(n, j):\\n sum = 0\\n\\n def fl(r_dash, r, l=2 * n):\\n if r_dash < r:\\n return r_dash**(l + 2) / r**(l + 1)\\n else:\\n return r**l / r_dash**(l - 1)\\n\\n for k in range(0, N - 2, 2):\\n sum += (r[k + 2] - r[k]) * (fl(r[k], r[j]) * D1(k, n) +\\n 4 * fl(r[k + 1], r[j]) * D1(k + 1, n) +\\n fl(r[k + 2], r[j]) * D1(k + 2, n))\\n\\n return sum / 6\\n\\n def calc_Phi(i, j):\\n Phi = 0\\n\\n for n in range(lmax + 1):\\n Phi -= 4 * np.pi * D2(n, j) * eval_legendre(2 * n, mu[i])\\n\\n return Phi\\n\\n # calculate Phi across grid\\n for n in range(N):\\n for k in range(K):\\n star.Phi[k, n] = calc_Phi(k, n)\\n\\n # print(f'Phi = {star.Phi[0,:]}')\\n\\n # update the enthalpy\\n\\n Omega2 = star.eos.Omega2(star.Phi, star.Psi)\\n C = star.eos.C(star.Phi, star.Psi)\\n\\n H = C - star.Phi - Omega2 * star.Psi\\n\\n # use new enthalpy and Phi to calculate the density\\n\\n star.rho = star.eos.rho_from_h(H)\\n star.rho /= np.max(star.rho)\\n\\n # print(f\\\"rho = {np.average(star.rho, axis=0)}\\\")\\n\\n # calculate the errors\\n\\n H_err = np.max(np.abs(H - star.H)) / np.max(np.abs(H))\\n\\n if np.max(Omega2) == 0:\\n if np.abs(Omega2 - star.Omega2) == 0:\\n Omega2_err = 0\\n else:\\n Omega2_err = 1\\n else:\\n Omega2_err = np.abs(Omega2 - star.Omega2) / np.abs(Omega2)\\n\\n if np.max(star.C) == 0:\\n if np.abs(C - star.C) == 0:\\n C_err = 0\\n else:\\n C_err = 1\\n else:\\n C_err = np.abs(C - star.C) / np.abs(star.C)\\n\\n # set variables to new values\\n\\n star.H = H\\n star.Omega2 = Omega2\\n star.C = C\\n print(\\n f\\\"Errors: H_err = {H_err}, Omega2_err = {Omega2_err}, C_err = {C_err}\\\")\\n\\n return H_err, Omega2_err, C_err\",\n \"def hailstone_steps(num):\\n steps = 0\\n\\n while num > 1:\\n steps = steps + 1\\n if num % 2 == 1:\\n num = int(num * 3 + 1)\\n else:\\n num = int(num / 2)\\n\\n return steps\",\n \"def step(self, closure):\\r\\n self.state['step'] += 1\\r\\n for y_ind in range(self.dim_out):\\r\\n err = closure(y_ind)\\r\\n for group_ind in range(len(self.param_groups)):\\r\\n group = self.param_groups[group_ind]\\r\\n iekf_mat = self.state['iekf_groups'][group_ind]\\r\\n for ii, w in enumerate(group['params']):\\r\\n if w.grad is None:\\r\\n continue\\r\\n H_n = iekf_mat[ii]['H']\\r\\n grad = w.grad.data.detach()\\r\\n if len(w.size()) > 1:\\r\\n grad = grad.transpose(1, 0)\\r\\n grad = grad.contiguous().view((1, -1))\\r\\n if y_ind == 0:\\r\\n H_n = grad\\r\\n else:\\r\\n H_n = torch.cat([H_n, grad], dim=0)\\r\\n self.state['iekf_groups'][group_ind][ii]['H'] = H_n\\r\\n\\r\\n err_T = err.transpose(0, 1)\\r\\n\\r\\n for group_ind in range(len(self.param_groups)):\\r\\n group = self.param_groups[group_ind]\\r\\n iekf_mat = self.state['iekf_groups'][group_ind]\\r\\n for ii, w in enumerate(group['params']):\\r\\n if w.grad is None:\\r\\n continue\\r\\n\\r\\n lbd_n = iekf_mat[ii]['lbd']\\r\\n P_n = iekf_mat[ii]['P']\\r\\n EPS = iekf_mat[ii]['EPS']\\r\\n H_n = iekf_mat[ii]['H']\\r\\n H_n_T = H_n.transpose(0, 1)\\r\\n if group['lbd_decay']:\\r\\n miu = 1.0 / min(self.state['step'], group['lbd_max_step'])\\r\\n lbd_n = lbd_n + miu * (err_T.mm(err).flatten()[0] / self.dim_out - lbd_n)\\r\\n self.state['iekf_groups'][group_ind][ii]['lbd'] = lbd_n\\r\\n R_n = lbd_n * torch.eye(self.dim_out, dtype=torch.float, device=iekf_mat[ii]['device'],\\r\\n requires_grad=False)\\r\\n\\r\\n g_n = R_n + H_n.mm(P_n).mm(H_n_T)\\r\\n g_n = g_n.inverse()\\r\\n\\r\\n K_n = P_n.mm(H_n_T).mm(g_n)\\r\\n delta_w = K_n.mm(err)\\r\\n if len(w.size()) > 1:\\r\\n delta_w = delta_w.view((w.size(1), w.size(0))).transpose(1, 0)\\r\\n else:\\r\\n delta_w = delta_w.view(w.size())\\r\\n\\r\\n new_P = (group['alpha'] + 1) * (P_n - K_n.mm(H_n).mm(P_n) + EPS)\\r\\n self.state['iekf_groups'][group_ind][ii]['P'] = new_P\\r\\n\\r\\n w.data.add_(delta_w)\\r\\n\\r\\n return err\",\n \"def traverse_grid(self, start_cell, direction, num_steps):\\n elements = []\\n\\n for step in range(num_steps):\\n row = start_cell[0] + step * direction[0]\\n col = start_cell[1] + step * direction[1]\\n elements.append(self._grid[row][col])\\n\\n return elements\",\n \"def make_grid(self):\\n for k in range(0, NUM + 1):\\n self.create_line(k * UNIT, 0, k * UNIT, SIZE, width=THICKNESS)\\n self.create_line(0, k * UNIT, SIZE, k * UNIT, width=THICKNESS)\",\n \"def backtrack_steps():\\n\\n # Initialize position and number of steps\\n x = 0\\n n_steps = 0\\n\\n # Walk until we get to positive 1\\n while x < 1:\\n x += 2 * np.random.randint(0, 2) - 1\\n n_steps += 1\\n\\n return n_steps\",\n \"def grid_image(output):\\n grid = []\\n for data in output:\\n grid += [make_grid(data, nrow=5, normalize=True)]\\n return grid\",\n \"def task2_extra():\\n N = 0\\n lam = 0\\n Ls = numpy.array([2*L for L in range(1,23)])\\n h = 0.01\\n tau = 0.000099\\n\\n iterss = []\\n\\n for L in Ls:\\n a = L // 2\\n print(L)\\n x = numpy.linspace(-L, L, int(2*L/h) + 1)\\n # eps = int(0.1 * len(x))\\n\\n Vm = V1D(lam, x)\\n state = phi(N, x-a)\\n\\n iters = 0\\n while True:\\n prob = numpy.abs(state)**2\\n mid = int(2*L/h) // 2\\n # if max(prob) in prob[mid-eps:mid+eps]:\\n if numpy.argmax(prob) <= mid:\\n print(iters)\\n iterss.append(iters)\\n break\\n\\n state[0] = 0\\n state[-1] = 0\\n state = implicit_scheme_step(state, tau, h, Vm)\\n iters += 1\\n\\n fig = plt.figure()\\n plt.title(\\\"Iterations of Gaussian travel to center\\\")\\n plt.xlabel(\\\"$L$\\\")\\n plt.ylabel(\\\"Time\\\")\\n plt.plot(Ls, tau*numpy.array(iterss))\\n plt.show()\\n fig.savefig(\\\"naloga2_iters_of_gaussian_travel.pdf\\\", bbox_inches=\\\"tight\\\")\",\n \"def monteCarloRun(startingPoints, qms, vs, directions, BR, BZ, r, z, rLim, fluxGridCoarseness, steppingMethod):\\n totalGrid = np.zeros((BR.shape[0]//fluxGridCoarseness, BR.shape[1]//fluxGridCoarseness))\\n trappedGrid = np.zeros((BR.shape[0]//fluxGridCoarseness, BR.shape[1]//fluxGridCoarseness))\\n rReduced = np.linspace(np.min(r), np.max(r), len(r)//fluxGridCoarseness)\\n rDelta = rReduced[1]-rReduced[0]\\n rReduced += rDelta/2. # Use distance to cell centers to count particles\\n zReduced = np.linspace(np.min(z), np.max(z), len(z)//fluxGridCoarseness)\\n zDelta = zReduced[1]-zReduced[0]\\n zReduced += zDelta/2. # Use distance to cell centers to count particles\\n \\n habitatCrossings = 0\\n GDTcrossings = 0\\n detectorCounts = np.zeros(14)\\n \\n gridStep = r[1]-r[0]\\n \\n numParticles = len(qms)\\n for particleNumber in prange(numParticles):\\n if particleNumber % (numParticles/10) == 0:\\n print(particleNumber)\\n \\n qm = qms[particleNumber]\\n v0 = vs[particleNumber]\\n dt = (r[1]-r[0])/v0/2\\n maxTime = rLim * 3 / v0\\n maxSteps = int(maxTime / dt)\\n particleGrid = np.zeros((BR.shape[0]//fluxGridCoarseness, BR.shape[1]//fluxGridCoarseness))\\n crossedHabitat = 0\\n crossedGDT = 0\\n particleDetectorCounts = np.zeros(14)\\n \\n # Generate random point and direction\\n point1 = startingPoints[particleNumber]\\n direction = directions[particleNumber]\\n noAccelStep = 0.99*gridStep*direction\\n trapped = True\\n \\n x = point1.copy() # copy is important... \\n v = direction*v0\\n E = np.zeros(3)\\n \\n if steppingMethod == 2:\\n x, _ = RKnext(x, v, qm, BR, BZ, r, z, dt/2)\\n\\n for i in range(maxSteps):\\n # Count crossings\\n particleR = (x[0]**2 + x[1]**2)**.5\\n nearestR = nearestIndex(rReduced, particleR)\\n nearestZ = nearestIndex(zReduced, x[2])\\n particleGrid[nearestZ, nearestR] = 1\\n if 9.7 < particleR < 12.3 and -1.3 < x[2] < 1.3:\\n crossedHabitat = 1\\n if -14 < x[2] < 14 and particleR < 5:\\n crossedGDT = 1\\n # Will's detectors\\n # for det in range(14):\\n # vd = (x[0] - det*1.4, x[1], x[2])\\n # if (vd[0]**2+vd[1]**2+vd[2]**2)**.5 < 0.5:\\n # particleDetectorCounts[det] = 1\\n \\n # Step\\n if steppingMethod == 0:\\n x += noAccelStep\\n elif steppingMethod == 1:\\n x, v = RKnext(x, v, qm, BR, BZ, r, z, dt)\\n elif steppingMethod == 2:\\n B = BxyzInterpolated(x, BR, BZ, r, z)\\n x, v = BBnext(x, v, qm, B, E, dt)\\n \\n # Stop stepping if out of bounds\\n if (particleR**2+x[2]**2)**.5 > rLim + .001: \\n trapped = False\\n break\\n detectorCounts += particleDetectorCounts\\n totalGrid += particleGrid\\n if trapped:\\n trappedGrid += particleGrid\\n habitatCrossings += crossedHabitat\\n GDTcrossings += crossedGDT\\n \\n print(\\\"Will's detectors:\\\", detectorCounts)\\n \\n # Divide cell counts by volume of cell\\n totalGridUnscaled = totalGrid.copy()\\n trappedGridUnscaled = trappedGrid.copy()\\n for i in range(len(rReduced)):\\n for j in range(len(zReduced)):\\n volume = np.pi*((rReduced[i]+rDelta/2.)**2-(rReduced[i]-rDelta/2.)**2)*zDelta\\n totalGrid[j, i] /= volume\\n trappedGrid[j, i] /= volume\\n \\n return rReduced, zReduced, totalGrid, trappedGrid, habitatCrossings, GDTcrossings, totalGridUnscaled, trappedGridUnscaled\",\n \"def Greens_function_approxRW(n=10, nwalks=200, start_position=[5,5]):\\n \\n G_func = np.zeros((n+1, n+1)) # Matrix to indicate how often the walk end att each boundary position\\n \\n for i in range(nwalks):\\n position = start_position[:]\\n # Perform one random walk and store the boundary position it reaches\\n while (position[0] != 0 and position[0] != n and position[1] != 0 and position[1] != n):\\n new_move = next_move()\\n position[0] = position[0] + new_move[0]\\n position[1] = position[1] + new_move[1]\\n G_func[position[1], position[0]] += 1\\n \\n return G_func\",\n \"def genGrid(nTot,gDict):\\n \\n # Generate nTot-by-8 array, and dump to disk.\\n grid = np.empty([nTot,8])\\n \\n # Initialize Simulation ID (SID) to keep track of the number of propagations.\\n SID = 1\\n\\n # The grid array is filled in the order: MA, AOP, RAAN, INC, ECC, SMA, MJD.\\n \\n # Get deltas\\n for key in gDict:\\n if gDict[key]['points'] > 1:\\n gDict[key]['delta'] = (gDict[key]['end'] - gDict[key]['start']) / (gDict[key]['points'] - 1)\\n else:\\n gDict[key]['delta'] = 0.\\n \\n # Here's the Big Nested Loop.\\n for i0 in range(0, gDict['MJD']['points']):\\n MJD = gDict['MJD']['start'] + i0 * gDict['MJD']['delta']\\n\\n for i1 in range(0, gDict['SMA']['points']):\\n SMA = gDict['SMA']['start'] + i1 * gDict['SMA']['delta']\\n\\n for i2 in range(0, gDict['ECC']['points']):\\n ECC = gDict['ECC']['start'] + i2 * gDict['ECC']['delta']\\n\\n for i3 in range(0, gDict['INC']['points']):\\n INC = gDict['INC']['start'] + i3 * gDict['INC']['delta']\\n\\n for i4 in range(0, gDict['RAAN']['points']):\\n RAAN = gDict['RAAN']['start'] + i4 * gDict['RAAN']['delta']\\n\\n for i5 in range(0, gDict['AOP']['points']):\\n AOP = gDict['AOP']['start'] + i5 * gDict['AOP']['delta']\\n\\n for i6 in range(0, gDict['MA']['points']):\\n MA = gDict['MA']['start'] + i6 * gDict['MA']['delta']\\n \\n grid[SID - 1,:] = [SID,MJD,SMA,ECC,INC,RAAN,AOP,MA]\\n SID = SID + 1\\n\\n return grid\",\n \"def collatz_step(n):\\n if n<1:\\n raise ValueError('Input must be greater than 0')\\n elif n==1:\\n return 1\\n elif n%2==0:\\n return (n/2)\\n elif n%2==1:\\n return(3*n+1)\",\n \"def next_step():\\n global fenetre, grid\\n if len(l)>2:\\n board_display(l[0])\\n l.pop(0)\\n steps.set(str(len(l))+\\\" steps remaining\\\")\\n elif len(l)==2:\\n board_display(l[0])\\n l.pop(0)\\n steps.set(str(len(l))+\\\" step remaining\\\")\\n else:\\n board_display(l[0])\\n steps.set(\\\"No more steps remaining\\\")\\n btn.set(\\\"Finished!\\\")\",\n \"def grid(iant,xgrid=[0],ygrid=[0],sleep=4):\\n d=Carma(iant).drive()\\n d.setOffset(xgrid[0],ygrid[0])\\n time.sleep(sleep)\\n time.sleep(sleep)\\n for y in ygrid:\\n for x in xgrid:\\n print x,y\\n d.setOffset(x,y)\\n time.sleep(sleep)\",\n \"def initial_approximation(pulls, discount, grid_n):\\n\\n values = np.zeros([pulls - 1, pulls - 1, grid_n]) # Store V(a=k, b=n-k, r) in values[k,n-1,:] as k varies\\n gittins = np.zeros([pulls - 1, pulls - 1]) # Store Gittins(a=k, b=n-k) in gittins[k,n-1] as k varies\\n\\n a_grid = np.arange(1, pulls)\\n r_grid = np.linspace(0, 1, grid_n)\\n\\n initial_gittins = a_grid / float(pulls) # Initial Gittins Approximation to start Backward Induction\\n gittins[0:pulls, pulls - 2] = initial_gittins # Record initial Gittins approximation\\n\\n for idx_a, a in enumerate(a_grid):\\n values[idx_a, pulls - 2, :] = (1.0 / (1 - discount)) * \\\\\\n np.maximum(r_grid, a / float(pulls)) # Record initial Value approximation\\n\\n return gittins, values\",\n \"def makeGrid(self, width, height, rewardLocs, exit, nPick=1, nAux=1, walls=[]):\\n # Make mapping from coordinate (x, y, (takenreward1, takenreward2, ...))\\n # to state number, and vice-versa.\\n rTaken = iter([(),])\\n for nPicked in range(1, nPick+1):\\n rTaken = itertools.chain(rTaken, \\n myCombinations(rewardLocs, r=nPicked)\\n )\\n # Iterators are hard to reset, so we list it.\\n rTaken = list(rTaken)\\n\\n # Mappings from state to coordinates, vice-versa\\n coordToState = {}\\n stateToCoord = {}\\n stateIdx = 0\\n for x in range(width):\\n for y in range(height):\\n for stuff in rTaken:\\n for holding in self.holdingPossibilities:\\n coordToState[(x, y, stuff, holding)] = stateIdx\\n stateToCoord[stateIdx] = (x, y, stuff, holding)\\n stateIdx += 1\\n self.deadEndState = stateIdx\\n\\n # Actually make the transition function\\n def trans(f, p): \\n aux = p\\n (x, y, stuff, holding) = stateToCoord[f]\\n actionMap = {}\\n default = {(f, aux): 1}\\n # Make the transition dictionary if the dead-end state (state width*height)\\n if f == self.F-1:\\n for action in range(5):\\n actionMap[action] = default\\n return actionMap\\n\\n # Otherwise, determine directions of motion, etc. \\n for i in range(4):\\n actionMap[i] = default\\n if x != 0 and ((x-1, y) not in walls):\\n actionMap[0] = {(coordToState[(x-1,y,stuff, holding)], aux): 1}\\n if x < width-1 and ((x+1, y) not in walls):\\n actionMap[1] = {(coordToState[(x+1,y,stuff, holding)], aux): 1}\\n if y != 0 and ((x, y-1) not in walls):\\n actionMap[2] = {(coordToState[(x,y-1,stuff, holding)], aux): 1}\\n if y < height-1 and ((x, y+1) not in walls):\\n actionMap[3] = {(coordToState[(x,y+1,stuff, holding)], aux): 1}\\n # What happens when the agent uses action 4?\\n if (x, y) == exit:\\n # Some cases, depending on self.oneAtATime\\n if not self.oneAtATime:\\n # The agent is leaving.\\n actionMap[4] = {(self.deadEndState, aux): 1}\\n else:\\n # The agent is dropping off a reward. holeFiller will\\n # take care of the reward value.\\n if len(stuff) >= nPick:\\n # The agent is not allowed to pick up more stuff\\n actionMap[4] = {(self.deadEndState, aux): 1}\\n else:\\n # The agent drops off the object.\\n actionMap[4] = {(coordToState[(x,y,stuff, -1)], aux): 1}\\n elif (x, y) not in rewardLocs:\\n # No reward to pick up. Do nothing.\\n actionMap[4] = default\\n elif (x, y) in stuff:\\n # This reward has already been used. Do nothing.\\n actionMap[4] = default\\n elif len(stuff) >= nPick or (holding != -1 and holding < len(stuff)\\n and self.oneAtATime):\\n # The agent has its hands full.\\n actionMap[4] = default\\n else:\\n # The agent is allowed to pick up an object.\\n newStuff = tuple(sorted(list(stuff) + [(x, y)]))\\n if self.oneAtATime:\\n newHoldingIdx = newStuff.index((x, y))\\n else:\\n newHoldingIdx = -1\\n actionMap[4] = {(coordToState[(x, y, newStuff, newHoldingIdx)], aux): 1}\\n return actionMap\\n\\n # Man, I'm outputting a lot of stuff.\\n # coordToState[(x, y, rewardsLeft, holding)] -> index of this state\\n # stateToCoord[index] -> (x, y, rewardsLeft, holding)\\n # rTaken is a list of all possible combinations of leftover rewards.\\n return (trans, coordToState, stateToCoord, rTaken)\",\n \"def grid_numbering(n, x_0, y_0, x_1, y_1):\\n \\n if n == 0:\\n return \\\"\\\"\\n\\n arg = complex_number(x_0 + 0.5 - x_1, y_0 + 0.5 - y_1).argument()\\n\\n if arg >= 0 and arg < np.pi / 2: \\n x = \\\"1\\\"\\n x_1 += 2 ** (n - 2)\\n y_1 += 2 ** (n - 2)\\n elif arg >= np.pi / 2 and arg <= np.pi:\\n x = \\\"2\\\"\\n x_1 -= 2 ** (n - 2)\\n y_1 += 2 ** (n - 2)\\n elif arg < 0 and arg >= -np.pi / 2:\\n x = \\\"4\\\"\\n x_1 += 2 ** (n - 2)\\n y_1 -= 2 ** (n - 2)\\n else:\\n x = \\\"3\\\"\\n x_1 -= 2 ** (n - 2)\\n y_1 -= 2 ** (n - 2)\\n\\n return str(x) + grid_numbering(n - 1, x_0, y_0, x_1, y_1)\",\n \"def grid_distortion(\\n img: np.ndarray,\\n num_steps: int = 10,\\n xsteps: Tuple = (),\\n ysteps: Tuple = (),\\n interpolation: int = cv2.INTER_LINEAR,\\n border_mode: int = cv2.BORDER_REFLECT_101,\\n value: Optional[ImageColorType] = None,\\n) -> np.ndarray:\\n height, width = img.shape[:2]\\n\\n x_step = width // num_steps\\n xx = np.zeros(width, np.float32)\\n prev = 0\\n for idx in range(num_steps + 1):\\n x = idx * x_step\\n start = int(x)\\n end = int(x) + x_step\\n if end > width:\\n end = width\\n cur = width\\n else:\\n cur = prev + x_step * xsteps[idx]\\n\\n xx[start:end] = np.linspace(prev, cur, end - start)\\n prev = cur\\n\\n y_step = height // num_steps\\n yy = np.zeros(height, np.float32)\\n prev = 0\\n for idx in range(num_steps + 1):\\n y = idx * y_step\\n start = int(y)\\n end = int(y) + y_step\\n if end > height:\\n end = height\\n cur = height\\n else:\\n cur = prev + y_step * ysteps[idx]\\n\\n yy[start:end] = np.linspace(prev, cur, end - start)\\n prev = cur\\n\\n map_x, map_y = np.meshgrid(xx, yy)\\n map_x = map_x.astype(np.float32)\\n map_y = map_y.astype(np.float32)\\n\\n remap_fn = _maybe_process_in_chunks(\\n cv2.remap,\\n map1=map_x,\\n map2=map_y,\\n interpolation=interpolation,\\n borderMode=border_mode,\\n borderValue=value,\\n )\\n return remap_fn(img)\",\n \"def g_iter(n):\\n \\\"*** YOUR CODE HERE ***\\\"\\n if n <= 3:\\n return n\\n else:\\n i = 3\\n x, y, z = 1, 2, 3\\n new = 1\\n while i < n:\\n new = z + (2*y) + (3*x)\\n x, y, z = y, z, new \\n i += 1\\n return new\",\n \"def make_step(self):\\n self.step_vals = np.cumsum(self.vals)\",\n \"def draw_grid(self):\\n for i in range(N * N + 1):\\n color = \\\"blue\\\" if i % N == 0 else \\\"gray\\\"\\n x0 = MARGIN + i * SIDE\\n y0 = MARGIN\\n x1 = MARGIN + i * SIDE\\n y1 = HEIGHT - MARGIN\\n self.canvas.create_line(x0, y0, x1, y1, fill=color)\\n\\n x0 = MARGIN\\n y0 = MARGIN + i * SIDE\\n x1 = WIDTH - MARGIN\\n y1 = MARGIN + i * SIDE\\n self.canvas.create_line(x0, y0, x1, y1, fill=color)\",\n \"def grid_inflation(self):\\n for obs in self.obstacle_list:\\n\\n inflation_x1 = round((obs[0][0]-self._inflation_radius)/self.step_size)\\n\\n inflation_y2 = round((obs[0][1] + obs[2] +self._inflation_radius)/self.step_size)\\n\\n inflation_x2 = round((obs[0][0] + obs[1] +self._inflation_radius)/self.step_size)\\n\\n inflation_y1 = round((obs[0][1] -self._inflation_radius)/self.step_size)\\n\\n self.grid[1, inflation_x1:inflation_x2+1,\\n inflation_y1:inflation_y2+1] = INFLATION_COST\\n\\n # border inflation\\n self.grid[1, 0:self.gridwidth+1, 0:round(self._inflation_radius/self.step_size)+1] = INFLATION_COST\\n self.grid[1, 0:self.gridwidth+1, self.gridheight-round(self._inflation_radius / self.step_size):self.gridheight+1] = INFLATION_COST\\n self.grid[1, 0:round(self._inflation_radius/self.step_size)+1, 0:self.gridheight+1] = INFLATION_COST\\n self.grid[1, self.gridwidth-round(self._inflation_radius/self.step_size):self.gridwidth+1, 0:self.gridheight+1] = INFLATION_COST\\n\\n # if NEED_DRAW_INFLATED_GRID:\\n # for i in range(self.gridwidth):\\n # plt.scatter(i,0)\\n # plt.scatter(i,self.gridheight)\\n # for j in range(self.gridheight):\\n # plt.scatter(0,j)\\n # plt.scatter(self.gridwidth,j)\\n # if self.grid[i, j] != 0:\\n # plt.scatter(i,j)\\n # plt.show()\\n\\n return self.grid\",\n \"def generate_mandelbrot(self, iterations):\\n if self.grid is None:\\n raise RuntimeError(\\\"Grid hasn't been setup - call set_grid first.\\\")\\n # Define the tensorflow variables\\n c = tf.constant(self.grid.astype(np.complex64))\\n z = tf.Variable(c)\\n n = tf.Variable(tf.zeros_like(c, tf.float32))\\n # Start the tensorflow session\\n with tf.Session():\\n tf.global_variables_initializer().run()\\n # Define the main mandelbrot algorithm - either take the square plus x, or keep z\\n z_out = tf.where(tf.abs(z) < self.threshold, z ** 2 + c, z)\\n not_diverged = tf.abs(z_out) < self.threshold\\n # Create a group of tensorflow operations\\n step = tf.group(z.assign(z_out), n.assign_add(tf.cast(not_diverged, tf.float32)))\\n # Run the operations for a set number of steps\\n for i in range(iterations):\\n step.run()\\n self.end_step = n.eval()\\n self.end_z = z_out.eval()\",\n \"def mem_grid_traveller(m: int, n: int, memo: dict={}):\\n\\n value = memo.get((m, n))\\n if not value:\\n if m == 1 and n == 1:\\n value = 1\\n elif m == 0 or n == 0:\\n value = 0\\n else:\\n value = mem_grid_traveller(m - 1, n, memo) + mem_grid_traveller(m, n - 1, memo)\\n memo[(m, n)] = value\\n\\n return value\",\n \"def define_grid():\\n grid_left = np.array([[-13.1000000000000, -35.5000000000000, -48.3000000000000, -60, -16.9000000000000,\\n -34.8000000000000, -67.5000000000000, -46.1000000000000, -59.8000000000000,\\n -14.2000000000000, -28.3000000000000, -42.3000000000000, -67.6000000000000,\\n -50.5000000000000, -14.6000000000000, -60.9000000000000, -31.6000000000000,\\n -5.10000000000000, -65.6000000000000, -41.8000000000000, -55.1000000000000,\\n -22.7000000000000, -5.80000000000000, -49.2000000000000, -34.5000000000000,\\n -61.5500000000000, -63.6000000000000, -40.4000000000000, -48.7000000000000,\\n -21.8000000000000, -58.2000000000000, -7, -36.3000000000000, -48.1000000000000,\\n -56.8000000000000, -7.30000000000000, -22.2000000000000, -36.8000000000000,\\n -46.8000000000000],\\n [-67.7000000000000, -60, -55.1000000000000, -51.8000000000000, -51.6000000000000,\\n -49.3000000000000, -47.1000000000000, -43.7000000000000, -39.6000000000000,\\n -39.1000000000000, -31.2000000000000, -30.7000000000000, -30.1000000000000,\\n -24.4000000000000, -22.7000000000000, -18.7000000000000, -16.9000000000000,\\n -12.6000000000000, -10.8000000000000, -10.2000000000000, -4.01000000000000, 1.20000000000000,\\n 2.80000000000000, 3.70000000000000, 3.90000000000000, 6.20000000000000, 8.30000000000000,\\n 11.8000000000000, 14.5000000000000, 16, 18.2000000000000, 18.4000000000000, 19.9000000000000,\\n 24.6000000000000, 28.5200000000000, 33.8000000000000, 35, 35.4000000000000,\\n 35.6000000000000],\\n [69.1000000000000, 66, 58.2000000000000, 48, 78, 71.7000000000000, 31, 61.1000000000000,\\n 53.3000000000000, 81.1000000000000, 76, 70.2000000000000, 41.2000000000000, 64.4000000000000,\\n 80.2000000000000, 50.9000000000000, 75.2000000000000, 77.3000000000000, 37.8000000000000, 67,\\n 53.2000000000000, 72, 74.8000000000000, 54.7000000000000, 66.5000000000000, 35.9000000000000,\\n 25.7000000000000, 60.7000000000000, 50.5000000000000, 68.9000000000000, 27.3000000000000,\\n 70.3000000000000, 59.6000000000000, 44, 20.8000000000000, 61.7000000000000, 57.2000000000000,\\n 47, 36]])\\n stn_left = np.array([[-14.6, -13.2, -11.7, -9.10, -11.7, -13.2, -7.90, -10],\\n [-15.1, -15.1, -15.1, -12.6, -12.6, -12.6, -9.40, -10.1],\\n [-5.40, -7.20, -8.70, -8.70, -7.50, -5.10, -10.3, -7.80]])\\n grid_right = np.copy(grid_left)\\n grid_right[0, :] = grid_right[0, :] * -1\\n stn_right = np.copy(stn_left)\\n stn_right[0, :] = stn_right[0, :] * -1\\n\\n return grid_left, grid_right, stn_left, stn_right\",\n \"def n_cols_generated(n_features: int, max_steps: int, n_transformations: int = 7, n_combinations: int = 4) -> int:\\n # n_transformations is 1-len(func_transform) because either abs() or sqrt and log will be applied\\n n_transformations -= 1\\n original_cols = n_features\\n new_cols = 0\\n new_new_cols = 0\\n # count additions at the highest level\\n n_additions = 0\\n steps = 1\\n if steps <= max_steps:\\n # Step 1: apply transformations to original features\\n original_cols += n_features * n_transformations\\n # n_additions += n_features * 2 # only if 1+ or 1- is in transformations!\\n steps += 1\\n if steps <= max_steps:\\n # Step 2: first combination of features\\n new_cols = n_combinations * (ncr(original_cols, 2))\\n n_additions += 3 * new_cols // 4\\n steps += 1\\n while steps <= max_steps:\\n # apply transformations on these new features\\n # n_additions += new_cols * 2\\n new_cols += new_cols * n_transformations\\n steps += 1\\n # get combinations of old and new features\\n if steps <= max_steps:\\n new_new_cols = n_combinations * (original_cols * new_cols)\\n n_additions += 3 * new_new_cols // 4\\n steps += 1\\n # and combinations of new features within themselves\\n if steps <= max_steps:\\n n = n_combinations * (ncr(new_cols, 2))\\n new_new_cols += n\\n n_additions += 3 * n // 4\\n steps += 1\\n # update old and new features and repeat\\n original_cols += new_cols\\n new_cols = new_new_cols\\n new_new_cols = 0\\n # finally, apply transformation on the last new features\\n if steps <= max_steps:\\n # n_additions += new_cols * 2\\n new_cols += new_cols * n_transformations\\n return original_cols + new_cols + new_new_cols - n_additions\",\n \"def drawGrid(self):\\n for div in range(NBCELL):\\n sec = SSIZE*div\\n self.can.create_line(0, sec, GSIZE, sec, width=3, fill=GFILL)\\n self.can.create_line(sec, 0, sec, GSIZE, width=3, fill=GFILL)\",\n \"def estimate_grids(self, **kwargs):\\n npts = kwargs.get('npts', 500)\\n return np.linspace(self.zvals.min(), self.zvals.max(), npts)\",\n \"def part2():\\r\\n my_input = 368078\\r\\n coords = [(1, 0), (1, -1), (0, -1), (-1, -1), (-1, 0), (-1, 1), (0, 1), (1, 1)]\\r\\n x = y = dx = 0\\r\\n dy = -1\\r\\n grid = {}\\r\\n\\r\\n while True:\\r\\n total = 0\\r\\n for offset in coords:\\r\\n ox, oy = offset\\r\\n if (x+ox, y+oy) in grid:\\r\\n total += grid[(x+ox, y+oy)]\\r\\n if total > int(my_input):\\r\\n return total\\r\\n if (x, y) == (0, 0):\\r\\n grid[(0, 0)] = 1\\r\\n else:\\r\\n grid[(x, y)] = total\\r\\n if (x == y) or (x < 0 and x == -y) or (x > 0 and x == 1-y):\\r\\n dx, dy = -dy, dx\\r\\n x, y = x+dx, y+dy\",\n \"def reducer(sudoku_grid):\\n for i in range(9):\\n sudoku_grid = reduce_row(i,sudoku_grid)\\n sudoku_grid = reduce_col(i,sudoku_grid)\\n sudoku_grid = reduce_sub(i,sudoku_grid)\\n return sudoku_grid\",\n \"def mbieLoop (self) :\\n self.iterCnt = 0\\n while self.iterCnt < 5000:\\n s = self.mdp.s0\\n for h in range(self.H) :\\n self.QUpper = QBoundsSolver(self.mdp, self.PHat, self.QUpper, self.Ntotal, 0.1, True, self.stop)\\n a = np.argmax(self.QUpper[s])\\n s_, self.R[s,a] = self.mdp.step(s, a)\\n self.updateVisitStatistics(s, a, s_)\\n s = s_\\n\\n if self.iterCnt % 10 == 0: \\n print(self.iterCnt)\\n print(self.QUpper)\\n\\n self.iterCnt += 1\",\n \"def sum_grid(self, grid):\\n new_grid = []\\n for i in range(self.grid_size):\\n new_grid.append(self.sum_row(grid[i]))\\n return new_grid\",\n \"def idx_to_grid(n):\\n\\n x = n % MAX_Y\\n y = int(n / MAX_X)\\n return(x, y)\",\n \"def run_iterations(self, n, verbose = False):\\n for i in range(n):\\n # Calculate total number of neighbors for each cell\\n all_neighbors = self.get_all_neighbors()\\n all_num_neighbors = np.sum(all_neighbors, axis = (-2,-1)) - self.board\\n # Determine new state for each cell using lookup table and number of neighbors\\n self.board[:] = np.where(self.board, \\n self.lookup[1][all_num_neighbors], \\n self.lookup[0][all_num_neighbors])\\n # Verbosity check\\n if verbose:\\n print(self.board)\",\n \"def make_evaluation_grids(W, M, N):\\n nu = (np.arange(W * M, dtype=float) + 0.5) / (2 * M)\\n x = np.arange(N + 1, dtype=float) / (2 * N)\\n return nu, x\",\n \"def get_grid_size(self, ui, res_dir):\\r\\n print_it('determining grid size', PrintOpts.lvl1.value)\\r\\n self.sun.simple_clone()\\r\\n self.sun.clone.make_profile(PreSol.res_x.value, PreSol.res_y.value,\\r\\n self.init_force)\\r\\n self.planet.simple_clone()\\r\\n self.planet.clone.make_slave_to(self.sun.clone)\\r\\n\\r\\n init_displ = hertz_displ(self.sun.clone.e, self.planet.e,\\r\\n self.sun.clone.ny, self.planet.ny,\\r\\n self.sun.clone.r_hertz_x,\\r\\n self.sun.clone.r_hertz_y,\\r\\n self.planet.clone.r_hertz_x,\\r\\n self.planet.clone.r_hertz_y,\\r\\n self.sun.norm_forces[0])\\r\\n too_many_els_in_y = 1\\r\\n too_many_els_in_x = 1\\r\\n contact_width_y = 0.05\\r\\n contact_width_x = 0.05\\r\\n while too_many_els_in_y != 0 or \\\\\\r\\n too_many_els_in_x != 0:\\r\\n self.sun.clone.make_profile(self.sun.clone.res_x,\\r\\n self.sun.clone.res_y, self.init_force,\\r\\n contact_width=contact_width_y,\\r\\n contact_length=contact_width_x)\\r\\n self.planet.clone.make_slave_to(self.sun.clone)\\r\\n\\r\\n pressure, init_displ = \\\\\\r\\n pre_solve_half_space(self.sun.clone.profile,\\r\\n self.planet.clone.profile,\\r\\n self.sun.clone.x_axis,\\r\\n self.sun.clone.y_axis,\\r\\n self.sun.clone.res_x, self.sun.clone.res_y,\\r\\n self.sun.clone.delta_x,\\r\\n self.sun.clone.delta_y, self.sun.clone.e,\\r\\n self.planet.clone.e, self.sun.clone.ny,\\r\\n self.planet.clone.ny,\\r\\n self.sun.norm_forces[0],\\r\\n init_displ=init_displ, print_prog=False)\\r\\n\\r\\n pressure_els_y = sum(\\r\\n pressure[math.floor(self.sun.clone.res_y / 2), :] > 0)\\r\\n too_many_els_in_y = self.sun.clone.res_y - pressure_els_y - 2\\r\\n if too_many_els_in_y:\\r\\n contact_width_y += -np.sign(\\r\\n too_many_els_in_y) * contact_width_y / 25\\r\\n\\r\\n pressure_els_x = sum(\\r\\n pressure[:, math.floor(self.sun.clone.res_x / 2)] > 0)\\r\\n too_many_els_in_x = self.sun.clone.res_x - pressure_els_x - 2\\r\\n if too_many_els_in_x:\\r\\n contact_width_x += -np.sign(\\r\\n too_many_els_in_x) * contact_width_x / 25\\r\\n\\r\\n self.sun.make_profile(self.sun.res_x, self.sun.res_y, self.init_force,\\r\\n contact_width=contact_width_y,\\r\\n contact_length=contact_width_x)\\r\\n self.planet.make_slave_to(self.sun)\\r\\n return init_displ\",\n \"def define_grid(self):\\n self.h_shape = int(\\n np.round((self.h_stop - self.h_start) / self.h_step, 2)) + 1\\n self.k_shape = int(\\n np.round((self.k_stop - self.k_start) / self.k_step, 2)) + 1\\n self.l_shape = int(\\n np.round((self.l_stop - self.l_start) / self.l_step, 2)) + 1\\n self.grid_origin = [self.h_start, self.k_start, self.l_start]\\n self.grid_step = [int(np.rint(1.0/self.h_step)),\\n int(np.rint(1.0/self.k_step)),\\n int(np.rint(1.0/self.l_step))]\\n self.grid_shape = [self.h_shape, self.k_shape, self.l_shape]\\n self.grid_basis = [[1, 0, 0], [0, 1, 0], [0, 0, 1]]\",\n \"def calculate_pyramid_rows_loop(number_of_rows):\\n total_blocks = 0\\n for x in range(1, number_of_rows + 1):\\n total_blocks += x\\n return total_blocks\",\n \"def montage(images, w_sub, h_sub, step):\\n target = Image.new('RGB', (w_sub*step, h_sub*step))\\n left = 0\\n right = w_sub\\n for i in range(len(images)):\\n top=(i//step)*h_sub\\n target.paste(images[i], (left, top, right, top+h_sub))\\n if(i//step < (i+1)//step):#Check if this row is done\\n left = 0#Reset the position in a row\\n right = w_sub\\n else: #Next picture\\n left += w_sub\\n right += w_sub\\n quality_value = 100\\n return target\",\n \"def n_steps(self) -> int:\\n return len(self) - 1 # subtract the base metric\",\n \"def count_tilings(n: int) -> int:\\n if n < 5:\\n # handle recursive base case\\n return 2**(n - 1)\\n else:\\n # place each tile at end of row and recurse on remainder\\n return (count_tilings(n - 1) +\\n count_tilings(n - 2) +\\n count_tilings(n - 3) +\\n count_tilings(n - 4))\",\n \"def total_steps(self):\\n return self.turns + (self.rounds*self.game_length)\",\n \"def solve_puzzle(self):\\r\\n \\r\\n counter = 0\\r\\n rows = self._height-1\\r\\n cols = self._width-1\\r\\n # print rows, cols\\r\\n # print 'The greed has %s rows and %s coloumn indexes' %(rows, cols) \\r\\n solution_move = ''\\r\\n if self.get_number(0,0) == 0 and \\\\\\r\\n self.get_number(0,1) == 1:\\r\\n # print 'Congrads Puxxle is Aolved at start!!!!!'\\r\\n return ''\\r\\n #appropriate_number = (self._height * self._width) - 1\\r\\n appropriate_number = (rows+1) * (cols+1) -1\\r\\n # print 'First appropriate_number=',appropriate_number\\r\\n # print \\\"Grid first tile that we will solwing has value =\\\", self._grid[rows][cols]\\r\\n \\r\\n while counter < 300:\\r\\n counter +=1\\r\\n # print self\\r\\n #appropriate_number = (rows+1) * (cols+1) -1\\r\\n # print 'Appropriate number in loop=',appropriate_number\\r\\n # print 'We are solving %s index_row and %s index_col' %(rows, cols) \\r\\n ####Case when we use solve_interior_tile\\r\\n if rows > 1 and cols > 0:\\r\\n if self._grid[rows][cols] == appropriate_number:\\r\\n # print 'This tile is already solved!!!'\\r\\n cols -= 1\\r\\n appropriate_number -=1\\r\\n else:\\r\\n # print 'We are solving interior tile', (rows, cols)\\r\\n solution_move += self.solve_interior_tile(rows, cols)\\r\\n # print 'Solution move=', solution_move\\r\\n cols -= 1\\r\\n #### Case when we use solve_col0_tile\\r\\n elif rows > 1 and cols == 0:\\r\\n if self._grid[rows][cols] == appropriate_number:\\r\\n # print 'This tile is already solved!!!'\\r\\n rows -= 1\\r\\n cols = self._width-1\\r\\n appropriate_number -=1\\r\\n else:\\r\\n # print 'We are solwing tile 0 in row', rows\\r\\n # print 'Appropriate number here ='\\r\\n solution_move += self.solve_col0_tile(rows)\\r\\n # print 'Solution move=', solution_move\\r\\n rows -=1\\r\\n cols = self._width-1\\r\\n\\r\\n\\r\\n #### Cases when we use solve_row0_tile\\r\\n elif rows == 1 and cols > 1:\\r\\n if self._grid[rows][cols] == appropriate_number:\\r\\n # print 'This tile is already solved!!!'\\r\\n rows -= 1\\r\\n #cols = self._width-1\\r\\n appropriate_number -= self._width\\r\\n\\r\\n else:\\r\\n # print 'Solving upper 2 rows right side'\\r\\n solution_move += self.solve_row1_tile(cols)\\r\\n rows -=1\\r\\n appropriate_number -= self._width\\r\\n #### Cases when we use solve_row1_tile \\r\\n if rows < 1 and cols > 1:\\r\\n if self._grid[rows][cols] == appropriate_number:\\r\\n # print 'This tile is already solved!!!'\\r\\n rows += 1\\r\\n cols -= 1\\r\\n appropriate_number +=self._width-1\\r\\n else:\\r\\n # print '(1,J) tile solved, lets solwe tile (0,j) in tile',(rows,cols)\\r\\n # print 'Greed after move solve_row1_tile'\\r\\n # print self\\r\\n solution_move += self.solve_row0_tile(cols)\\r\\n rows +=1\\r\\n cols -=1\\r\\n appropriate_number +=self._width-1\\r\\n\\r\\n\\r\\n #### Case when we use solve_2x2\\r\\n elif rows <= 1 and cols <= 1:\\r\\n # print 'We are solving 2x2 puzzle'\\r\\n solution_move += self.solve_2x2()\\r\\n if self._grid[0][0] == 0 and \\\\\\r\\n self._grid[0][1] == 1:\\r\\n # print 'Congrads Puxxle is SOLVED!!!!!'\\r\\n break\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n if counter > 100:\\r\\n # print 'COUNTER BREAK'\\r\\n break\\r\\n # print solution_move, len(solution_move)\\r\\n return solution_move\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n # for row in solution_greed._grid[::-1]:\\r\\n # print solution_greed._grid\\r\\n # print 'Row =',row\\r\\n \\r\\n # if solution_greed._grid.index(row) > 1:\\r\\n # print \\\"Case when we solwing Interior and Tile0 part\\\"\\r\\n \\r\\n\\r\\n # for col in solution_greed._grid[solution_greed._grid.index(row)][::-1]:\\r\\n # print 'Coloumn value=', col\\r\\n #print row[0]\\r\\n # if col !=row[0]:\\r\\n # print 'Case when we use just Interior tile solution'\\r\\n # print solution_greed._grid.index(row)\\r\\n # print row.index(col)\\r\\n \\r\\n # solution += solution_greed.solve_interior_tile(solution_greed._grid.index(row) , row.index(col))\\r\\n # print 'Solution =', solution\\r\\n # print self \\r\\n # print solution_greed._grid\\r\\n # elif col ==row[0]:\\r\\n # print 'Case when we use just Col0 solution'\\r\\n\\r\\n # else:\\r\\n # print 'Case when we solwing first two rows'\\r\\n\\r\\n #return \\\"\\\"\\r\",\n \"def make_grid(n, gl=False):\\n\\n if gl:\\n low = 0.0 # Lower Range\\n high = 1.0\\n p = 0.5\\n\\n # The method here uses 2*n points so halve it\\n n, r, wt = GridGenerator.gaussp(low, high, n//2)\\n r = np.concatenate((r, np.zeros((n))))\\n wt = np.concatenate((wt, np.zeros((n))))\\n for i in range(n):\\n r[2*n-(i+1)] = (1.0/r[i])**2\\n wt[2*n-(i+1)] = (wt[i]/p)*r[2*n - (i+1)]**1.5\\n else:\\n n, r, wt = GridGenerator.radial_chebyshev(n)\\n\\n return n, r, wt\",\n \"def generate_julia(self, iterations, c):\\n if self.grid is None:\\n raise RuntimeError(\\\"Grid hasn't been setup - call set_grid first.\\\")\\n # Define the tensorflow variables\\n c_val = tf.constant(np.full(shape=self.grid.shape, fill_value=c, dtype=self.grid.dtype))\\n z = tf.Variable(self.grid)\\n n = tf.Variable(tf.zeros_like(c_val, tf.float32))\\n # Start the tensorflow session\\n with tf.Session():\\n tf.global_variables_initializer().run()\\n # Define the main julia algorithm - either take the square plus x, or keep z\\n\\n z_out = tf.where(tf.abs(z) < self.threshold, z ** 2 + c_val, z)\\n not_diverged = tf.abs(z_out) < self.threshold\\n step = tf.group(z.assign(z_out), n.assign_add(tf.cast(not_diverged, tf.float32)))\\n\\n for i in range(iterations):\\n step.run()\\n self.end_step = n.eval()\\n self.end_z = z_out.eval()\",\n \"def step_through_generations(self, num_steps):\\n for island in self._islands:\\n for _ in range(num_steps):\\n island.execute_generational_step()\\n self.archipelago_age += num_steps\",\n \"def greedy(self):\\n n_step_t = self.filter['n_step_t']\\n n_traj = self.filter['n_traj']\\n traj = self.filter['traj']\\n steps = [0 for i in xrange(n_step_t)]\\n for i in xrange(n_traj):\\n n_step = traj[i]['n_step']\\n for j in xrange(n_step):\\n steps[j] += 1\\n self.filter['steps'] = steps\\n \\n return\",\n \"def push_up (grid):\\r\\n for a in range (4): \\r\\n for i in range(3,0,-1): \\r\\n for j in range(4): \\r\\n if grid[i-1][j]==0: \\r\\n grid[i-1][j]=grid[i][j] \\r\\n grid[i][j]=0\\r\\n #joining like numbers \\r\\n for i in range(3): \\r\\n for j in range(4): \\r\\n if grid[i][j]==grid[i+1][j]: \\r\\n grid[i][j]=(grid[i][j])*2\\r\\n grid[i+1][j]=0\\r\\n #pafter adding the numbers continue to move them \\r\\n for a in range (4): \\r\\n for i in range(3,0,-1): \\r\\n for j in range(4): \\r\\n if grid[i-1][j]==0: \\r\\n grid[i-1][j]=grid[i][j] \\r\\n grid[i][j]=0\",\n \"def part2():\\n grid[(0, 0)] = 1\\n coordinates_value = 0\\n layer = 1\\n x = 0; y = 0\\n done = False\\n while not done:\\n # print(\\\"Layer: \\\", layer)\\n # go right one step\\n layer += 1; x += 1\\n grid[(x,y)] = check_neighbours((x,y))\\n\\n # go up to the boundary of layer\\n for y_up in range(y+1, layer):\\n coord = (x, y_up)\\n coordinates_value = check_neighbours(coord)\\n if coordinates_value > puzzle_input:\\n return coordinates_value\\n y = y_up\\n\\n # go left till the boundary of layer\\n for x_left in range(x-1, -layer, -1):\\n coord = (x_left, y)\\n coordinates_value = check_neighbours(coord)\\n if coordinates_value > puzzle_input:\\n return coordinates_value\\n x = x_left\\n\\n # go down till the boundary of layer\\n for y_down in range(y-1, -layer, -1):\\n coord = (x, y_down)\\n coordinates_value = check_neighbours(coord)\\n if coordinates_value > puzzle_input:\\n return coordinates_value\\n y = y_down\\n\\n # go right till the boundary of layer\\n for x_right in range(x+1, layer):\\n coord = (x_right, y)\\n coordinates_value = check_neighbours(coord)\\n if coordinates_value > puzzle_input:\\n return coordinates_value\\n x = x_right\",\n \"def generate_grid():\\n y_offset = -10\\n for a in range(20):\\n # Line 1\\n # Adds offset to the x position of the squares\\n x_offset = 10\\n for b in range(1):\\n # Adds offset to the y position of the squares\\n y_offset += 20\\n for c in range(20):\\n # Prints a row of squares(5 squares along the x)\\n square(x_offset, y_offset, 20, 20, dark_green)\\n for d in range(1):\\n # Adds x offset for the next line of squares on the y axis\\n x_offset += 40\\n # Line 2 (needs 2 lines because the offset of each line)\\n # Adds offset to the x position of the squares\\n x_offset = 30\\n for e in range(1):\\n # Adds offset to the y position of the squares\\n y_offset += 20\\n for f in range(20):\\n # Prints a row of squares(5 squares along the x)\\n square(x_offset, y_offset, 20, 20, dark_green)\\n for g in range(1):\\n # Adds x offset for the next line of squares on the y axis\\n x_offset += 40\",\n \"def start_points(n, world):\\n world[0, 0] = 1\\n world[n-1, n-1] = 1\\n world[0, n-1] = 1\\n world[n-1, 0] = 1\\n world[np.round(n/2).astype(int)][np.round(n/2).astype(int)] = 1\\n return world\",\n \"def step(self):\\n lmax = 32\\n\\n star = self.star\\n\\n M, K, N = star.mesh_size\\n ph = star.phi_coords\\n mu = star.mu_coords\\n r = star.r_coords\\n\\n def D1(t, s, m):\\n return 1 / 3 * np.sum((ph[2::2] - ph[:-2:2]) *\\n (np.cos(m * ph[:-2:2] * star.rho[:-2:2, t, s])\\n + 4 * np.cos(m * ph[1:-1:2] * star.rho[1:-1:2, t, s]) +\\n np.cos(m * ph[2::2] * star.rho[2::2, t, s])))\\n\\n def D2(s, l, m):\\n sum = 0\\n for t in range(0, K - 2, 2):\\n sum += (mu[t + 2] - mu[t]) * (lpmv(m, l, mu[t]) * D1(t, s, m) +\\n 4 * lpmv(m, l, mu[t + 1]) * D1(t + 1, s, m) +\\n lpmv(m, l, mu[t + 2]) * D1(t + 2, s, m))\\n\\n return sum / 3\\n\\n def D3(l, m, k):\\n sum = 0\\n\\n def fl(r_dash, r):\\n if r_dash < r:\\n return r_dash**(l + 2) / r**(l + 1)\\n else:\\n return r**l / r_dash**(l - 1)\\n\\n for s in range(0, N - 2, 2):\\n sum += (r[s + 2] - r[s]) * (fl(r[s], r[k]) * D2(s, l, m) +\\n 4 * fl(r[s + 1], r[k]) * D2(s + 1, l, m) +\\n fl(r[s + 2], r[k]) * D2(s + 2, l, m))\\n\\n return sum / 6\\n\\n def calc_Phi(i, j, k):\\n Phi = 0\\n\\n for l in range(lmax + 1):\\n for m in range(min(l + 1, 2)):\\n if (m + l % 2 == 1):\\n continue\\n if m == 0:\\n eps = 1\\n else:\\n eps = 2\\n Phi -= eps / factorial(1 + m) * \\\\\\n D3(l, m, k) * lpmv(m, l, mu[j]) * np.cos(m * ph[i])\\n\\n return Phi\\n\\n # calculate Phi across grid\\n for n in range(N):\\n for k in range(K):\\n for m in range(M):\\n star.Phi[m, k, n] = calc_Phi(m, k, n)\\n\\n print(f'Phi = {star.Phi[0,0,:]}')\\n\\n # update the enthalpy\\n\\n Omega2 = star.eos.Omega2(star.Phi, star.Psi)\\n C = star.eos.C(star.Phi, star.Psi)\\n\\n H = C - star.Phi - Omega2 * star.Psi\\n\\n # use new enthalpy and Phi to calculate the density\\n\\n star.rho = star.eos.rho_from_h(H)\\n star.rho /= np.max(star.rho)\\n\\n print(f\\\"rho = {np.average(star.rho[:,0,:], axis=0)}\\\")\\n\\n # make sure density is always non-negative\\n # star.rho[star.rho < 0] = 0\\n\\n print(f\\\"rho = {np.average(star.rho[:,0,:], axis=0)}\\\")\\n\\n # calculate the errors\\n\\n H_err = np.max(np.abs(H - star.H)) / np.max(np.abs(H))\\n\\n if np.max(Omega2) == 0:\\n if np.abs(Omega2 - star.Omega2) == 0:\\n Omega2_err = 0\\n else:\\n Omega2_err = 1\\n else:\\n Omega2_err = np.abs(Omega2 - star.Omega2) / np.abs(Omega2)\\n\\n if np.max(star.C) == 0:\\n if np.abs(C - star.C) == 0:\\n C_err = 0\\n else:\\n C_err = 1\\n else:\\n C_err = np.abs(C - star.C) / np.abs(star.C)\\n\\n # set variables to new values\\n\\n star.H = H\\n star.Omega2 = Omega2\\n star.C = C\\n print(\\n f\\\"Errors: H_err = {H_err}, Omega2_err = {Omega2_err}, C_err = {C_err}\\\")\\n\\n return H_err, Omega2_err, C_err\",\n \"def batch_steps(num_examples, batch_size):\\n steps = num_examples // batch_size\\n if num_examples % batch_size > 0:\\n steps += 1\\n return steps\",\n \"def __generate_goal_board(self):\\n element = 1\\n array = []\\n\\n for row in range(self._n):\\n row_to_append = []\\n for col in range(self._n):\\n row_to_append.append(element)\\n element += 1\\n array.append(row_to_append)\\n\\n array[self._n - 1][self._n - 1] = 0\\n self._solved_board = Board(array=array, space=[self._n - 1, self._n - 1])\",\n \"def WarpStep(iters=5):\\n MSG(\\\"WarpStep\\\")\\n for j in range(iters):\\n warp.step()\\n return\",\n \"def dynamic_iteration(k, n):\\n # If only one egg remains, n attempts must be made to find the correct floor.\\n if k == 1:\\n return n\\n # Lookup table for previous solutions.\\n W = [[0 for y in range(n + 1)] for x in range(k)]\\n # Initialize the first row.\\n for i in range(n + 1):\\n W[0][i] = i\\n # Start on second row, working downward.\\n for i in range(1, k):\\n # Calculate values for each cell.\\n for j in range(1, n + 1):\\n W[i][j] = min((max(W[i][j - x], W[i - 1][x - 1]) for x in range(1, j + 1))) + 1\\n # Return the result.\\n return W[k - 1][n]\",\n \"def _compute_step_sizes(self, number_knots, knots):\\n # expected bounds on the knots sequence\\n x_lower = self.model.workers.lower\\n x_upper = self.model.workers.upper\\n\\n if (number_knots is not None) and (knots is None):\\n step_size = (x_upper - x_lower) / (number_knots - 1)\\n step_sizes = np.repeat(step_size, number_knots - 1)\\n elif (number_knots is None) and (knots is not None):\\n #assert knots[0] == x_lower\\n #assert knots[-1] == x_upper\\n step_sizes = np.diff(knots, 1)\\n else:\\n raise ValueError(\\\"Either 'number_knots' or 'knots' must be specified!\\\")\\n \\n if self.model.assortativity == 'positive':\\n step_sizes = step_sizes[::-1]\\n\\n return step_sizes\",\n \"def calculateAllCosts(self, goalCol, goalRow, maxIters):\\n\\n if (goalCol == self.lastGoalDistCol and\\n goalRow == self.lastGoalDistRow):\\n return\\n\\n startTime = time.time()\\n print \\\"Calculating all costs given the current goal.\\\"\\n self.distanceToGoal=[[self.infinity for col in range(self.cols)]\\n for row in range(self.rows)]\\n if not self.inRange(goalRow, goalCol):\\n raise Exception('goalOutOfMapRange')\\n self.distanceToGoal[goalRow][goalCol] = 0.0\\n\\n for iter in range (maxIters):\\n\\t valuesChanged = 0\\n\\t if (self.showIterations):\\n print \\\"Displaying result after iteration:\\\",iter\\n self.redraw(self.distanceToGoal, stepByStep=1)\\n\\t self.frame.update()\\n time.sleep(1)\\n for row in range(self.rows):\\n for col in range(self.cols):\\n for i in [-1,0,1]:\\n for j in [-1,0,1]:\\n if self.inRange(row+i, col+j):\\n if self.grid[row][col] > self.threshhold:\\n self.distanceToGoal[row][col] = self.infinity\\n else:\\n if abs(i) == 0 and abs(j) == 0:\\n d = 0.00\\n elif abs(i) == 1 and abs(j) == 1:\\n if self.tooTight(row, col, i, j):\\n d = self.infinity\\n\\t\\t\\t else:\\n d = 1.41\\n else:\\n d = 1.00\\n adj = self.distanceToGoal[row+i][col+j] + self.grid[row+i][col\\n+j] + d\\n\\t\\t\\t if (adj < self.distanceToGoal[row][col]):\\n\\t\\t\\t valuesChanged += 1\\n self.distanceToGoal[row][col] = min(self.distanceToGoal[row][col], adj)\\n\\n if valuesChanged == 0:\\n\\t endTime = time.time()\\n\\t print \\\"Value iteration converged after %d iterations.\\\" % iter\\n\\t print \\\"Time elapsed %0.3f ms.\\\" % ((endTime-startTime)*1000.0)\\n\\t break\",\n \"def g_iter(n):\\n \\\"*** YOUR CODE HERE ***\\\"\\n g1, g2, g3, cur, ind = 1, 2, 3, 0, 3\\n if n < 3:\\n return n\\n else:\\n while ind < n:\\n cur = g3 + 2 * g2 + 3 * g1\\n ind += 1\\n g1, g2, g3 = g2, g3, cur\\n return g3\",\n \"def push_down (grid):\\r\\n \\r\\n #moves values down\\r\\n for row in range (3,0,-1):\\r\\n for column in range (4):\\r\\n if grid[row][column]==0 and grid[row-1][column]!=0:\\r\\n grid[row][column]=grid[row-1][column]\\r\\n grid[row-1][column]=0\\r\\n \\r\\n #moves values down\\r\\n for row in range (3,0,-1):\\r\\n for column in range (4):\\r\\n if grid[row][column]==0 and grid[row-1][column]!=0:\\r\\n grid[row][column]=grid[row-1][column]\\r\\n grid[row-1][column]=0 \\r\\n \\r\\n #checks for similar values and combines whilst ensuring values dont get added twice\\r\\n check_row=-1\\r\\n check_column=-1\\r\\n for row in range (0,3):\\r\\n for column in range (4):\\r\\n #check if values have been added already\\r\\n if row==check_row and column==check_column:\\r\\n continue\\r\\n \\r\\n elif grid[row][column]==grid[row+1][column]:\\r\\n grid[row+1][column]= 2*grid[row][column]\\r\\n grid[row][column]=0\\r\\n check_row=row+1\\r\\n check_column=column\\r\\n \\r\\n elif grid[row+1][column] == 0:\\r\\n grid[row+1][column]=grid[row][column]\\r\\n grid[row][column]=0\\r\\n \\r\\n \\r\\n for row in range (3,0,-1):\\r\\n for column in range (4):\\r\\n if grid[row][column]==0 and grid[row-1][column]!=0:\\r\\n grid[row][column]=grid[row-1][column]\\r\\n grid[row-1][column]=0 \\r\\n \\r\\n for row in range (3,0,-1):\\r\\n for column in range (4):\\r\\n if grid[row][column]==0 and grid[row-1][column]!=0:\\r\\n grid[row][column]=grid[row-1][column]\\r\\n grid[row-1][column]=0\",\n \"def Compute_Grid(Idx, Coeff, q_max, rules, growth, LevelMax, sc, p, tol ):\\n\\n seed = 123456789\\n #Coeff= Sandia.calculate_coefficients(Idx, q_max)\\n new_np = Sandia.max_next_points(Idx, Coeff, rules, growth)\\n points = Sandia.weights_and_points(new_np, LevelMax, Idx, Coeff, growth, rules, sc, p)\\n N_Unique, sparse_index = Sandia.unique_points(seed, tol, points)\\n return Sandia.reduce_points_and_weights(N_Unique, points, Idx, sparse_index, Coeff, growth, rules, sc, p)\",\n \"def regex_grid(n):\\n cx = 2 ** (n - 1)\\n cy = 2 ** (n - 1)\\n grid = [[grid_numbering(n, i , j, cx, cy) for i in range(2 ** n)] for j in range(2 ** n)]\\n \\n return grid\",\n \"def infinite_dmrg_step(system, current_size, number_of_states_kept):\\n set_hamiltonian_to_AF_Heisenberg(system)\\n ground_state_energy, ground_state_wf = system.calculate_ground_state()\\n entropy, truncation_error = grow_block_by_one_site('left', ground_state_wf, \\n\\t\\t system, \\n\\t\\t\\t\\t\\t\\t number_of_states_kept)\\n system.right_block = system.left_block\\n return ground_state_energy / current_size, entropy, truncation_error\",\n \"def xSteps(self,start,ziel,steps=10):\\n erg=[]\\n wert=(ziel-start)/(steps)\\n for i in range(1, steps+1):\\n erg.append(round(start+wert*i,2))\\n return erg\",\n \"def echelon_with_steps(aug_matrix: list) -> list:\\n new_value = aug_matrix[:]\\n\\n # Loop through each row\\n print(\\\"Steps begins here\\\")\\n for i, current in enumerate(new_value):\\n\\n # Check if it's a potential pivot\\n if i < len(new_value) - 1:\\n\\n # Elimate all in the same column beside the pivot\\n for j in range(i + 1, len(new_value)):\\n coef = new_value[j][i] / current[i]\\n new_value[j] = minus(new_value[j], times(coef, current))\\n\\n # printing the grid in 2D\\n for row in new_value:\\n print(row)\\n print(\\\"vvvvvvv\\\")\\n return new_value\",\n \"def steps(self, step_count):\\n self.dir.value(0 if step_count > 0 else 1)\\n for i in range(abs(step_count)):\\n self.stp.value(1)\\n sleep_us(self.step_time)\\n self.stp.value(0)\\n sleep_us(self.step_time)\\n self.current_position += step_count\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.62839276","0.6177618","0.6006914","0.5955859","0.5950042","0.5941752","0.58852285","0.58458596","0.5777134","0.57740855","0.5760194","0.57317764","0.572567","0.5684606","0.5644186","0.5635062","0.563393","0.5599859","0.5587036","0.55789906","0.55467486","0.55253345","0.55242723","0.5519299","0.5510146","0.5509966","0.55013883","0.54930526","0.54923177","0.54829895","0.54795486","0.5462071","0.5452944","0.5447374","0.54381293","0.54339683","0.54278785","0.5420682","0.54195625","0.54183114","0.5400571","0.5391548","0.53882205","0.5387278","0.53836334","0.53753334","0.53737336","0.53693825","0.5369066","0.5355846","0.5346508","0.53410375","0.5340784","0.533977","0.5333583","0.5325432","0.5324272","0.5322385","0.5308004","0.5305585","0.5301809","0.52966636","0.5289803","0.5285444","0.5285231","0.5281761","0.5276532","0.5270764","0.52677333","0.5259147","0.52518153","0.525088","0.52453595","0.52363634","0.52348673","0.5232572","0.5231499","0.5230786","0.5227626","0.5225448","0.5222063","0.52203727","0.5213028","0.52112305","0.5210196","0.5208985","0.51986957","0.51984763","0.51981825","0.51915437","0.518818","0.5183294","0.5182715","0.51821613","0.51734","0.5172577","0.51695275","0.5153791","0.5149459","0.51486605"],"string":"[\n \"0.62839276\",\n \"0.6177618\",\n \"0.6006914\",\n \"0.5955859\",\n \"0.5950042\",\n \"0.5941752\",\n \"0.58852285\",\n \"0.58458596\",\n \"0.5777134\",\n \"0.57740855\",\n \"0.5760194\",\n \"0.57317764\",\n \"0.572567\",\n \"0.5684606\",\n \"0.5644186\",\n \"0.5635062\",\n \"0.563393\",\n \"0.5599859\",\n \"0.5587036\",\n \"0.55789906\",\n \"0.55467486\",\n \"0.55253345\",\n \"0.55242723\",\n \"0.5519299\",\n \"0.5510146\",\n \"0.5509966\",\n \"0.55013883\",\n \"0.54930526\",\n \"0.54923177\",\n \"0.54829895\",\n \"0.54795486\",\n \"0.5462071\",\n \"0.5452944\",\n \"0.5447374\",\n \"0.54381293\",\n \"0.54339683\",\n \"0.54278785\",\n \"0.5420682\",\n \"0.54195625\",\n \"0.54183114\",\n \"0.5400571\",\n \"0.5391548\",\n \"0.53882205\",\n \"0.5387278\",\n \"0.53836334\",\n \"0.53753334\",\n \"0.53737336\",\n \"0.53693825\",\n \"0.5369066\",\n \"0.5355846\",\n \"0.5346508\",\n \"0.53410375\",\n \"0.5340784\",\n \"0.533977\",\n \"0.5333583\",\n \"0.5325432\",\n \"0.5324272\",\n \"0.5322385\",\n \"0.5308004\",\n \"0.5305585\",\n \"0.5301809\",\n \"0.52966636\",\n \"0.5289803\",\n \"0.5285444\",\n \"0.5285231\",\n \"0.5281761\",\n \"0.5276532\",\n \"0.5270764\",\n \"0.52677333\",\n \"0.5259147\",\n \"0.52518153\",\n \"0.525088\",\n \"0.52453595\",\n \"0.52363634\",\n \"0.52348673\",\n \"0.5232572\",\n \"0.5231499\",\n \"0.5230786\",\n \"0.5227626\",\n \"0.5225448\",\n \"0.5222063\",\n \"0.52203727\",\n \"0.5213028\",\n \"0.52112305\",\n \"0.5210196\",\n \"0.5208985\",\n \"0.51986957\",\n \"0.51984763\",\n \"0.51981825\",\n \"0.51915437\",\n \"0.518818\",\n \"0.5183294\",\n \"0.5182715\",\n \"0.51821613\",\n \"0.51734\",\n \"0.5172577\",\n \"0.51695275\",\n \"0.5153791\",\n \"0.5149459\",\n \"0.51486605\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.61110514"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":1497,"cells":{"query":{"kind":"string","value":"Display a step by step animation of the cellular automata rule."},"document":{"kind":"string","value":"def grid_animation(self, steps, figure_size=(12, 12), speed=100):\r\n\r\n steps -= 1\r\n x = self.seed\r\n\r\n fig, ax = plt.subplots(figsize=figure_size)\r\n ax.grid(False)\r\n ax.get_xaxis().set_visible(False)\r\n ax.get_yaxis().set_visible(False)\r\n color_map = matplotlib.colors.ListedColormap(['white', 'black'])\r\n im = plt.imshow(x[1:-1:1, 1:-1:1], interpolation='nearest', cmap=color_map, animated=True)\r\n counter = 0\r\n\r\n def update_figure(*args):\r\n nonlocal x, counter, fig\r\n\r\n counter += 1\r\n x, stats = self.update_grid(x)\r\n plt.title(self.title + ' | Step ' + str(counter), fontsize=14)\r\n im.set_array(x[1:-1:1, 1:-1:1])\r\n\r\n return im, # why is this comma necessary?\r\n\r\n ani = animation.FuncAnimation(fig, update_figure, frames=steps,\r\n interval=speed, blit=False, repeat=False)\r\n\r\n return ani"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def animate(self):\n if self.board.automaton.get() == \"life\":\n self.state = self.life.game_of_life(self.state)\n #self.life.random_activations(self.state)\n elif self.board.automaton.get() == \"seeds\":\n self.state = self.life.seeds(self.state)\n else:\n pass\n\n self.board.update_cells(self.state)\n self.parent.after(DELAY, self.animate)","def render(self):\n step = 1\n while step < self.number_steps and self.update():\n step += 1","def animate(agent, steps, initialize=None):\n grid, r, c = random_world()\n image = plt.imshow(grid, cmap=cmap, norm=norm)\n if initialize:\n state = initialize()\n for t in range(steps):\n draw_world(grid, r, c, image)\n percept = get_percept(grid, r, c)\n if initialize:\n action, *state = agent(percept, *state)\n else:\n action = agent(percept)\n\n r, c = apply(grid, r, c, action)\n plt.pause(0.0001)\n plt.show()","def step(self):\n #nx.draw_networkx(self.G, nx.get_node_attributes(self.G, 'pos'))\n self.schedule.step()","def grid_animation_quick(self, frames, iterations=10, fps=0.02, figsize=(6, 6)):\r\n color_map = matplotlib.colors.ListedColormap(['white', 'black'])\r\n\r\n fig, ax = plt.subplots(figsize=figsize)\r\n\r\n for r in np.arange(0, iterations):\r\n ax.cla()\r\n ax.axes.grid(False)\r\n ax.set_axis_off()\r\n im = ax.imshow(frames[0], cmap=color_map, animated=True)\r\n for image, step in zip(frames[1:], np.arange(1, len(frames[1:])+1)):\r\n time.sleep(fps)\r\n ax.title.set_text('Rule 942 | Step ' + str(step) + ' | Active ' + str(int(np.sum(image))))\r\n im.set_data(image)\r\n fig.canvas.draw()","def start_sim(self):\n self.anim = animation.FuncAnimation(self.fig, self.anim_func, frames = self.timesteps, interval = 1, blit=True)\n plt.show()","def visualize_trial(self, n_steps=100):\n\n # prepare for the visualization\n plb.ion()\n mv = mountain_car.MountainCarViewer(self.mountain_car)\n mv.create_figure(n_steps, n_steps)\n plb.draw()\n\n # make sure the mountain-car is reset\n self.mountain_car.reset()\n\n for n in range(n_steps):\n print('\\rt =', self.mountain_car.t)\n print(\"Enter to continue...\")\n input()\n\n sys.stdout.flush()\n\n reward = self.mountain_car.act(self.agent.act())\n self.agent.state = [self.mountain_car.x, self.mountain_car.vx]\n\n # update the visualization\n mv.update_figure()\n plb.draw()\n\n # check for rewards\n if reward > 0.0:\n print(\"\\rreward obtained at t = \", self.mountain_car.t)\n break","def do_animations(self):\n self.animate_bloop(700, 160, 50)","def step_animation(self):\n self._light.toggle()","def start_animation(self):\n\t\ttime.sleep(1)\n\t\tself.fishbowl.animate_balls()","def run():\r\n \r\n match = a4_acc.Game() # Instantiate a Game object \r\n setup(match)\r\n\r\n if constants.SHOW_GRAPHICS:\r\n axes= startGraphics(match.board) #step 0\r\n \r\n \r\n for k in range(constants.STEPS):\r\n update(match)\r\n updateGraphics(board, k, caxes)\r\n \r\n ########\r\n # TO DO: \r\n # Simulate game given the intial state for constants.STEPS iterations\r\n \r\n # Example code to call the updateGraphics function; the second argument\r\n # needs to be replaced:\r\n # if constants.SHOW_GRAPHICS:\r\n # updateGraphics(match.board, None, axes) \r\n \r\n # Do not change or add code below here for function run\r\n endNow= raw_input('Press ENTER to continue.')","def _animation_step(self, par_dict):\n\n t0 = time.time()\n dt = par_dict[\"dt\"]\n controller = par_dict[\"controller\"]\n integrator = par_dict[\"integrator\"]\n if controller is not None:\n _, _, tau = controller.get_control_output(\n meas_pos=self.x[:self.plant.dof],\n meas_vel=self.x[self.plant.dof:],\n meas_tau=np.zeros(self.plant.dof),\n meas_time=self.t)\n else:\n tau = np.zeros(self.plant.n_actuators)\n self.step(tau, dt, integrator=integrator)\n ee_pos = self.plant.forward_kinematics(self.x[:self.plant.dof])\n ee_pos.insert(0, self.plant.base)\n ani_plot_counter = 0\n for link in range(self.plant.n_links):\n self.animation_plots[ani_plot_counter].set_data(\n [ee_pos[link][0], ee_pos[link+1][0]],\n [ee_pos[link][1], ee_pos[link+1][1]])\n ani_plot_counter += 1\n self.animation_plots[ani_plot_counter].set_data(ee_pos[link+1][0],\n ee_pos[link+1][1])\n ani_plot_counter += 1\n\n set_arrow_properties(self.tau_arrowarcs[link],\n self.tau_arrowheads[link],\n float(np.squeeze(tau)),\n ee_pos[link][0],\n ee_pos[link][1])\n t = float(self.animation_plots[ani_plot_counter].get_text()[4:])\n t = round(t+dt, 3)\n self.animation_plots[ani_plot_counter].set_text(f\"t = {t}\")\n\n # if the animation runs slower than real time\n # the time display will be red\n if time.time() - t0 > dt:\n self.animation_plots[ani_plot_counter].set_color(\"red\")\n else:\n self.animation_plots[ani_plot_counter].set_color(\"black\")\n return self.animation_plots + self.tau_arrowarcs + self.tau_arrowheads","def animate(frames):\n plt.grid('on')\n ax = plt.gca()\n ax.set_xticks(np.arange(0.5, 10, 1))\n ax.set_yticks(np.arange(0.5, 10, 1))\n ax.set_xticklabels([])\n ax.set_yticklabels([])\n\n for i in range(len(env_list)):\n ax.imshow(env_list[i],cmap='binary')\n plt.pause(0.05)","def display(self):\n for _jumpline in range(self.y):\n print(end=\"\\n\")\n for _height in range(self.height):\n for _space in range(self.x):\n print(\" \", end=\"\")\n for _width in range(self.width):\n print(\"#\", end=\"\")\n print(end=\"\\n\")","def animate(i, graph, node_positions, parameters, test=False):\n #print(i)\n if test:\n node = graph.node[i]\n node['adopter'] = 1\n else:\n evolution_step(graph, parameters)\n draw_graph(graph, node_positions)","def updateGraphics(board, step, caxes):\r\n boardArray= numpy.transpose(numpy.asarray(board))\r\n caxes.set_data(boardArray)\r\n plt.title('Step ' + str(step))\r\n plt.pause(constants.BLINK)\r\n plt.show()","def display(self):\n ob = self._convert_state(self._env.reset())\n done = False\n while not done:\n ac, _ = self._act(ob, stochastic=False)\n ob, rew, done, _ = self._env.step(ac)\n ob = self._convert_state(ob)\n self._env.render()\n self._env.close()","def show(self, fig=None):\n i = 0\n # for t = 0:obj.step_size:obj.duration\n # TODO: make a generator?\n iterator = np.linspace(0, self.duration(), num=math.ceil(self.duration() / self.step_precision) + 1)\n tfInterp_l = np.zeros((4, 4, len(iterator)))\n tfInterp_r = np.zeros((4, 4, len(iterator)))\n for t in iterator:\n [lfp, rfp] = self.footPosition(t)\n tfInterp_l[:, :, i] = lfp\n tfInterp_r[:, :, i] = rfp\n i = i + 1\n\n self.show_tf(fig, tfInterp_l, len(iterator))\n self.show_tf(fig, tfInterp_r, len(iterator))","def step(self):\n\n #make a dictionary of rules and which are active\n binary = self.int_to_8_bit_binary(self.rule_nbr)\n binary_str = ''.join(binary)\n\n active_rules = dict(zip(CA_World.bin_0_to_7, list(binary_str)))\n\n\n #variable to store the new computed line\n #first one will always be zero as there is no rule\n #find better explanation\n new_line = [0]\n\n #compute the new line\n\n #for each ca triplet to check\n for i in range(len(self.ca_lines[-1]) - 2):\n #make the array of three cells together ex [1,0,0] starting at index one and ending at index 3 before the end\n #then check to see if it is active from the dictionary\n #add the new cell as a 1 if active else set it to 0\n new_line.append(1 if active_rules[\"\".join(str(x) for x in self.ca_lines[-1][i:i + 3])] == '1' else 0)\n\n # variable to store the new computed line\n # first one will always be zero as there is no rule\n # find better explanation\n new_line.append(0)\n\n\n self.ca_lines.append(new_line)\n\n\n #add leading and trailing zeroes to all entries in the history\n for row in self.ca_lines:\n row.insert(0,0)\n row.append(0)\n\n self.set_display_from_lines()","def run_next(self, action):\r\n self.screen.fill((0, 0, 0))\r\n\r\n # Run the simulation loop\r\n self.SimulationLoop(action)\r\n if GUIEnabled and self.settings.drawMenu:\r\n self.gui_app.paint(self.screen)\r\n\r\n pygame.display.flip()\r\n self.clock.tick(self.settings.hz)\r\n self.fps = self.clock.get_fps()","def simulate(self, n: int, show_neighbourhood: bool = False):\n self.draw_current_state(show_neighbourhood)\n for _ in range(n):\n self.move()\n self.draw_current_state(show_neighbourhood)\n self.plotting_engine.animate()","def anime(df,filename,save=False):\n walls = gc[\"walls\"]\n obstacles = gc[\"obstacles\"]\n destinations = gc[\"destinations\"]\n\n step_index = {}\n for step in df.STEP:\n step_index[step] = df.index[df.STEP == step]\n\n fig = plt.figure(figsize=matplotlib.figure.figaspect(1))\n plt.gca().set_aspect('equal', adjustable='box')\n ax = fig.add_subplot(111)\n # contour\n for wall in walls:\n wall = plt.Polygon(wall.vertices,color=\"red\",alpha=0.2)\n ax.add_patch(wall)\n # obstacles\n for obstacle in obstacles:\n obst = plt.Circle(obstacle.center,obstacle.r,color=\"green\",alpha = 0.5)\n ax.add_patch(obst)\n # destinations\n for dest in destinations:\n dest_range = plt.Polygon(dest.dest_range,color=\"black\",alpha=0.5)\n dest = plt.Polygon(dest.vertices,color=\"black\",alpha=0.2)\n ax.add_patch(dest_range)\n ax.add_patch(dest)\n\n ims = []\n colors = [\"red\",\"blue\"]\n for step in range(len(step_index)):\n im = plt.scatter(df.y[step_index[step + 1]],\n df.x[step_index[step + 1]],\n color=[colors[i] for i in df.KIND[step_index[step+1]]],\n s=80,\n alpha=0.5)\n ims.append([im])\n\n ani = animation.ArtistAnimation(fig,ims,interval=10)\n plt.xlim(gc[\"min_xy\"][0],gc[\"max_xy\"][0])\n plt.ylim(gc[\"min_xy\"][1],gc[\"max_xy\"][1])\n # if save:\n # print(\"start saving animation\")\n # ani.save(filename)\n # print(\"finish saving animation\")\n plt.show()","def animate(self,i): # Animate function is called iteratively\n\n for x in self.list_patient: # Traversing through each patient\n x.Update()\n # updating each\n self.Computational_part()\n # invoking obj's function\n self.boot_induvidual_plot()\n # invoking obj's function","def anim():\n i = 0\n while 1:\n\n for r in Reprs:\n r.draw(i)\n i = i+ 1\n i = i % len(t)\n yield","def _animate(self):\n steps = (1, 7, 14)\n if self.rect.x < self.start_x - 100:\n self.change_dir = False\n elif self.rect.x > self.start_x + 100:\n self.change_dir = True\n self.direction = -1 if self.change_dir else 1\n self.rect.x += self.direction * choice(steps)","def time_history_animation(self, frame_step=1, magnification=1):\n import matplotlib.pyplot as plt\n import matplotlib.animation as ani\n\n \"\"\"Retrieve maximum displacement for axis limits\"\"\"\n max_list = [max(map(abs, item)) * magnification for item in self.displacement]\n\n \"\"\"Start figure for animation\"\"\"\n fig = plt.figure()\n ax = fig.add_subplot(111)\n\n \"\"\"Define the rectangles that represent the DOFs\"\"\"\n rectangle = []\n for i in range(len(self.coordinates)):\n rectangle.append(plt.Rectangle((self.coordinates[i][0],\n self.coordinates[i][1]),\n self.size[i][0], self.size[i][1], alpha=0.5))\n\n \"\"\"Init function for animation draws the frame, so that blip can be used and the animation runs faster\"\"\"\n\n def init():\n for i in range(len(self.coordinates)):\n ax.add_patch(rectangle[i])\n plt.axis('auto')\n plt.xlim([-max(max_list) + min(self.coordinates[:][0]),\n max(max_list) + max([item[0] for item in self.coordinates]) + max(self.size[:][0])])\n return rectangle\n\n \"\"\"Animation function: only the coordinates of the rectangles are updated here\"\"\"\n\n def motion(t_step):\n for i in range(len(self.coordinates)):\n rectangle[i].set_xy((float(self.coordinates[i][0]\n + self.displacement[i][t_step * frame_step] * magnification),\n float(self.coordinates[i][1])))\n return rectangle\n\n \"\"\"Animation function: inter gives the time delay between frames in milli seconds\"\"\"\n inter = int(1000 * self.dt * frame_step)\n self.anim = ani.FuncAnimation(fig,\n motion,\n init_func=init,\n interval=inter,\n blit=True)\n\n motion(int(len(self.displacement) / frame_step))\n plt.show()","def run_anime(self, inval=10, rep=True, blitit=False):\n ani = animation.FuncAnimation(self.fig, self.animate,\n len(self.artists[0][0]), repeat=rep,\n interval=inval, blit=blitit,\n init_func=self.init_anime)\n plt.show()","def animate(x,y,title=None,step=None,pause=0.001):\n plt.clf()\n\n if step is not None and title is not None:\n plt.title(\"%s (Step %d)\" %(title,step))\n\n plt.plot(x,y)\n plt.draw()\n plt.pause(pause)\n plt.show(block=False)","def run(self) -> None:\n for episode in range(1, self.episodes + 1):\n print('Episode:', episode)\n steps, state_action_history = self.run_one_episode()\n self.steps_per_episode.append(steps)\n if episode % parameters.CACHING_INTERVAL == 0 or steps < 1000:\n visualize.animate_track(state_action_history, f'agent-{episode}')\n\n print('Training completed.')\n visualize.plot_steps_per_episode(self.steps_per_episode)\n visualize.plot_epsilon(self.agent.epsilon_history)\n\n if parameters.VISUALIZE_FINAL_GAME:\n print('Showing one episode with the greedy strategy.')\n self.agent.epsilon = 0\n steps, state_action_history = self.run_one_episode()\n print(f'Episode completed in {steps} steps.')\n visualize.animate_track(state_action_history)","def step(self, state):","def display(self):\n for r in range(1, self.size+1):\n print(\"+\" + (\"-+\"*self.size))\n print(\"|\", end=\"\")\n for c in range(1, self.size+1):\n print(self.gameState[r,c], end=\"\")\n print(\"|\",end=\"\")\n print()\n print(\"+\" + (\"-+\"*self.size))","def display(self):\r\n os.system('cls')\r\n index = 0\r\n for i in self.list:\r\n print(str(index) + \" \" + i.showRule())\r\n index += 1","def step(self):\n # update the score\n isScoreUpdated = self.update_score()\n \n # the player hit an obstacle\n isFail = self.fail()\n if isFail:\n self.inGame = False\n # display an explosion instead of the bird image\n self.bird.img = jpg2numpy(self.args.explosion_sprite, self.args.explosion_dims)\n\n # if the AI is playing: take an action\n if not self.isHuman:\n self.agent.choose_action() \n \n # compute the new bird position\n self.bird.move()\n \n # scroll 1 frame and generate the new environment\n new_state = self.env.scroll()\n \n # if the AI is playing: set the new state\n if not self.isHuman:\n # get the new_state\n new_state = self.env.get_state()\n # feed the transition information to the agent\n self.agent.set_transition(new_state, isScoreUpdated, isFail) \n \n # only display 1 frame every 'n_frames' frames for fluidity\n if not self.muteDisplay and (self.fail() or (self.isHuman and (self.t % self.args.n_frames_human == 0)) or (not self.isHuman and (self.t % self.args.n_frames_ai == 0))): \n # change the displayed image to account for changes\n self.im.set_data(self.env.map)\n # update the image without pausing\n plt.draw()\n \n # new time step\n self.t += 1\n self.hasJumped = False","def animate(directory,gifname,n_t,step=2,duration=0.2):\n\t# create list of filenames\n\tfnames = dir_fname(directory,\"*\")\n\t# create list of plots\n\timages=[] \n\tfor k in range(0,n_t):\n\t\tk = k*step\n\t\tprint('Mounting Im '+ str(k))\n\t\tFIG_NAME=fnames[k]\n\t\timages.append(imageio.imread(FIG_NAME)) # read\n\t# Now we can assemble the video\n\timageio.mimsave(gifname, images,duration=duration) # create gif\n\tprint('Animation'+gifname+'Ready')\n\treturn True","def Advance():\n warp.step()","def example(self):\n while self.check_end() == False:\n plt.pause(0.25)\n end = self.update_board(random.choice(self.get_actions()), True)","def cont(a=0, show_arrows=True):\n global simulator, recorder\n if simulator is None:\n print \"Program is not started\"\n return\n __record(pc(), cont, a)\n try:\n simulator.step(a)\n while True:\n simulator.step()\n except:\n simulation_error()\n exec_hooks(cont)\n if show_arrows:\n arrows()","def drawJumper(self):\n for x in self.jumper:\n print(x)","def step(self):\n #1. Time progresses\n self.time_operator.step()\n \n #2. Form and dissolve relationships\"\n self.relationship_operator.step()\n\n #3. HIV transmission\n self.infection_operator.step()","def animate(self, save_path=None):\n interval = 100 # 1 frame per interval ms\n frames = int(20 * len(self.experienced_states_kancks_paths) / self.frame_skip) # times to call updatefig\n blit = True # acceralate computation\n ani = animation.FuncAnimation(self.fig, self.updateifig, frames=frames,\n interval=interval, blit=blit)\n if save_path is not None:\n ani.save(os.path.join(save_path, 'anim.mp4'), writer='ffmpeg')\n else:\n plt.show()","def display_loop(self):\n from time import sleep\n self.displaying = True\n while self.displaying:\n print self\n sleep(.083)\n print loc(self.y, self.x) + ' '*self.size","def SetAnimationStep(self, step):\r\n\r\n self._animation_step = float(step)","def start(self, total_iterations):\n sys.stdout.write(\"[%s]\" % (\" \" * self.width))\n sys.stdout.flush()\n # return to start of line, after '['\n sys.stdout.write(\"\\b\" * (self.width+1)) \n\n self.state, self.total = 0, total_iterations","def generate_animated_gif(env, case_dir, save_dir, writer='imagemagick'):\n # initialize actor\n actor = Actor(env.num_states, env.num_actions)\n # Load trained actor\n trained_actor = torch.load(os.path.join(os.getcwd(), case_dir, 'actor_trained.pt'))\n actor.load_state_dict(trained_actor)\n\n s = env.reset()\n s_traj = [s]\n done = False\n while not done:\n (mu, std) = actor(torch.from_numpy(s))\n dist = torch.distributions.normal.Normal(mu, std)\n a = dist.sample().numpy()\n (s, r, done) = env.step(a)\n s_traj.append(s)\n\n fig = plt.figure(figsize=(5, 4))\n ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1.2, 1.2), ylim=(-1.2, 1.2))\n ax.set_aspect('equal')\n ax.grid()\n line, = ax.plot([], [], 'o-', lw=2)\n text = ax.set_title('')\n\n def animate(i):\n theta = s_traj[i][0]\n line.set_data([0, -np.sin(theta)], [0, np.cos(theta)])\n text.set_text(f'time = {i * env.dt:3.1f}')\n return line, text\n\n anim = animation.FuncAnimation(fig, animate, len(s_traj), interval=(1000 * env.dt), blit=True, repeat=False)\n anim.save(os.path.join(save_dir, 'animated_trajectory.gif'), writer=writer, fps=10)\n\n plt.close()","def on_step(self) -> None:\r\n\r\n if self.board == None:\r\n return\r\n\r\n TkState.disable(self.edit_menu.winfo_children())\r\n TkState.enable([self.reset_button])\r\n self.anim_board.next_gen()\r\n self.on_new_generation()\r\n self.painter.draw_board()","def animate(self, interval=100, title='test', medium_from=None, medium_to=None):\n # data input\n N = self.get_N()\n plotting_data = self.data[:,N:2*N]\n time = self.get_time()\n y_min = np.min(plotting_data)\n y_max = np.max(plotting_data)\n n_frames = plotting_data.shape[0]\n \n # initialization of plots\n fig = plt.figure()\n ax = plt.axes(xlim=(0, N), ylim=(y_min, y_max))\n time_text = ax.text(0.02, 0.95, '', transform=ax.transAxes)\n time_text.set_text('')\n l, = plt.plot([], [], '.-')\n plt.xlabel('bead number')\n plt.ylabel('velocity (computer units)')\n plt.title(title)\n \n # visualize interfaces\n if medium_from is not None:\n if medium_to is None:\n medium_to = N\n \n plt.fill_between(range(medium_from, medium_to+1), y_min, y_max, facecolor='red', alpha=0.5)\n \n # updat4e function for animation\n def update_line(num, plotting_data, time, line):\n dat = plotting_data[num,:]\n line.set_data([range(len(dat)), dat])\n time_text.set_text('time = %.1f' % time[num])\n line.set_label('t= 10')\n return line,\n \n line_ani = animation.FuncAnimation(fig, update_line, n_frames, fargs=(plotting_data, time, l), interval=interval, blit=False)\n return line_ani","def example_2(): \n maze = MazeWorld(8,8)\n for i in range(maze.width):\n if i is not 6 : maze.add_wall([2, i], \"N\") \n for i in range(maze.width):\n if i is not 2 : maze.add_wall([5, i], \"N\")\n n_step = 4\n E = maze.compute_empowerment(n_step=n_step, n_samples=8000)\n maze.plot(colorMap=E)\n plt.title('%i-step empowerment' % n_step)\n plt.show()","def show_progress(self, game):\n if self.verbose:\n if self.params.eval_interval is not None and (self.episode % self.params.eval_interval == 0):\n self._print_progress()\n # evaluate one run\n state = game.reset()\n self.tracker.reset()\n done = False\n while not done:\n controls = self.sess.run(self.graph.target_actor_outputs,\n feed_dict={self.graph.states: np.array([state])}).reshape(-1)\n state, reward, done, _ = game.step(controls)\n self.tracker.step(reward)\n print('****** ', self.tracker.total_reward, self.tracker.discounted_rewards, ' ******')","def step(self):\n self.latent.step()","def horde_step(self, observation):","def display_hangman(self):\n print(Fore.CYAN + HANGMAN_PICS[self.stage])\n print('\\n')\n print(self.progress + Style.RESET_ALL)\n print('\\n')","def animate():\n for c in itertools.cycle(['|', '/', '-', '\\\\']):\n if done:\n break\n sys.stdout.write('\\rloading ' + c)\n sys.stdout.flush()\n time.sleep(0.1)\n sys.stdout.write('\\rDone! ')","def printStep(self):\n\n\t\tprint '\\nConfiguracao da fita: ',\n\n\t\tcount = 0\n\t\twhile count < len(self.tape):\n\t\t\tif count == self.currentPos:\n\t\t\t\tprint '_',\n\n\t\t\tprint self.tape[count],\n\t\t\tcount += 1\n\n\t\tprint '\\nEstado atual: ', self.currentState","def startPresentation(ntrials):\n\n for trialIdx in range(ntrials):\n\n # draw the fixcross followed by the star\n drawFixCross(1.0)\n drawStar(4.0)","def step(self, screen):\n max_y, _ = screen.getmaxyx()\n allowed_y = range(0, max_y)\n def is_on_screen(y):\n return y in allowed_y\n still_visible = False\n y, x = -1, -1\n for char in self.characters:\n y, x = int(char.y), char.x\n char.y += self.min_falling_speed\n if not is_on_screen(y):\n continue\n still_visible = True\n screen.addstr(y, x, char.symbol, char.color)\n # Clear trail of characters after column\n y -= 1\n while is_on_screen(y):\n screen.addstr(y, x, ' '*self.width)\n y -= 1\n return still_visible","def animate(results, draw_func, *args, interval=None):\n plt.figure()\n try:\n for t, state in results.iterrows():\n draw_func(t, state, *args)\n plt.show()\n if interval:\n sleep(interval)\n clear_output(wait=True)\n draw_func(t, state, *args)\n plt.show()\n except KeyboardInterrupt:\n pass","def next_step(self):\n\n c = 1\n dt = 0.001\n dx = 1 / 20**2\n\n # copy current state first\n next_state = np.copy(self.state)\n\n # iterate over matrix\n for i in range(self.width - 1):\n for j in range(self.height - 1):\n\n if not self.shape == \"circle\" or self.circle[i, j] == 1:\n\n # left bottom corner\n if i == 0 and j == 0:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + 0\\\n + 0 + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i, j]\n # right top corner\n elif i == 0 and j == self.height - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (0 + self.state[i + 1, j]\\\n + self.state[i, j - 1] + 0\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n # right bottom corner\n elif i == self.width - 1 and j == 0:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i, j - 1] + 0\\\n + 0 + self.state[i - 1, j]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n # left bottom corner\n elif i == self.width - 1 and j == self.height - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i, j - 1] + self.state[i - 1, j]\\\n + 0 + 0\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif i == 0: # j is not 0\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + 0\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif j == 0:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\n + 0 + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif i == self.width - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (0 + self.state[i - 1, j]\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n elif j == self.height - 1:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\n + self.state[i, j - 1] + 0\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n else:\n next_state[i, j] = ((c * dt)/ dx)** 2\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\n - 4 * self.state[i, j])\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\n\n self.prev_state = np.copy(self.state)\n self.state = np.copy(next_state)\n\n self.timestep += 1","def step(self):\n self.game.step()","def next_step():\n global fenetre, grid\n if len(l)>2:\n board_display(l[0])\n l.pop(0)\n steps.set(str(len(l))+\" steps remaining\")\n elif len(l)==2:\n board_display(l[0])\n l.pop(0)\n steps.set(str(len(l))+\" step remaining\")\n else:\n board_display(l[0])\n steps.set(\"No more steps remaining\")\n btn.set(\"Finished!\")","def train(self, n_steps=1000, show=False):\n epsilon = 0.01\n state = self.env.reset()\n done = False\n episode_rewards = []\n episode_reward = 0\n losses = []\n for step_i in range(n_steps):\n action = self.act(state, epsilon)\n next_state, reward, done, _ = self.env.step(action)\n episode_reward += reward\n\n self.optimizer.zero_grad()\n loss = self._compute_loss(state, action, reward, next_state, done)\n losses.append(loss)\n loss.backward()\n self.optimizer.step()\n\n if done:\n state = self.env.reset()\n episode_rewards.append(episode_reward)\n episode_reward = 0\n else:\n state = next_state\n \n if show:\n self._plot(step_i, episode_rewards, losses)","def Start(self): # this is used to start the object\n ani = anim.FuncAnimation(self.f, self.animate, interval=1000)\n # animating object wth 1 sec gap\n self.plt_0.tight_layout()\n self.plt_0.show()\n # showing the plot","def step(self):\n r, c = self.ant_r, self.ant_c\n if self.grid[r][c] == LangtonAnt.WHITE:\n self.direction = rotate_counterclock(self.direction)\n self.grid[r][c] = LangtonAnt.BLACK\n else:\n self.direction = rotate_clockwise(self.direction)\n self.grid[r][c] = LangtonAnt.WHITE\n\n self.ant_r -= self.direction[1]\n self.ant_c += self.direction[0]","def step(self):\n self.turn_on_corners()\n part_1.Grid.step(self)\n self.turn_on_corners()","def step(self, amt=1):\n \n # For checking if all the animations have their framse looked at\n #activewormind = [i for i, x in enumerate(self._idlelist) if x == False]\n #print \"Worm {} at {:5g}\".format(activewormind, 1000*(time.time() - starttime))\n # save times activated for each worm \n [self.timedata[i].append(1000*(time.time() - starttime)) for i, x in enumerate(self._idlelist) if x == False]\n \n #self._led.buffer = [0] * 480\n self._led.pixheights = [-100] * self._led.numLEDs\n #print type(self._led.buffer)\n for ledcopy in self._ledcopies:\n # self._led.buffer = map(ixor, self._led.buffer, ledcopy.buffer)\n # use pixheights but assume all buffers same size\n # print ledcopy.driver[0].pixheights\n for pix in range(self._led.numLEDs):\n #for ledcopy in self._ledcopies:\n if self._led.pixheights[pix] == ledcopy.driver[0].pixheights[pix]:\n for i in range(3):\n self._led.buffer[3*pix + i] ^= ledcopy.buffer[3*pix + i]\n elif self._led.pixheights[pix] < ledcopy.driver[0].pixheights[pix]:\n for i in range(3):\n self._led.buffer[3*pix + i] = ledcopy.buffer[3*pix + i]\n self._led.pixheights[pix] = ledcopy.driver[0].pixheights[pix] \n self._step += 1","def show_evolution_chromosome(to_show, steps):\n pattern = np.fromstring('1 1 0 1 0 1 0 1 0 1', dtype=int, sep=' ')\n board = Board(pattern, 2)\n if to_show:\n gui = Gui(board,steps, 50)\n tkinter.Button(text=\"Start\", command=lambda: TimerUpdate(gui)).pack()\n gui.window.mainloop()\n else:\n board.print_pattern()\n board.evolve(steps)\n board.print_data()","def performSimulation(self):\n \n if self.parameters['verbose']:\n print(\"=====================\\nStarting simulation with parameters\\n\",self.parameters)\n print(\"=====================\\nInitial Graph\\n\")\n self.showState()\n print(\"=====================\")\n\n while self.parameters['steps'] > 0:\n if self.parameters['verbose']: print(\"Performing step\")\n self.performStep()\n if self.parameters['verbose']: self.showState()\n\n if self.parameters['verbose']:\n print(\"=====================\\nFinished Simulation\\n\\nResult graph:\")\n self.showState()\n #self.showGraph(self.parameters['file_name'])\n #self.showState()\n #self.showStats()","def step(self):\n self.schedule.step()","def step_button(self):\r\n self.update_settings()\r\n self.set_val(\"display_move\")\r\n if self.step_call is not None:\r\n self.step_call()","def animate(self, save_path=None):\n interval = 100 # 1 frame per interval ms\n # frames = int(len(self.map_paths) / self.frame_skip) # times to call updatefig\n frames = int(min(len(self.map_paths) / self.frame_skip, len(self.experienced_states_kancks_paths) / self.frame_skip / 2))\n frames -= 1 # because of my bad logging\n blit = True # acceralate computation\n ani = animation.FuncAnimation(self.fig, self.updateifig, frames=frames,\n interval=interval, blit=blit)\n if save_path is not None:\n ani.save(os.path.join(save_path, self.save_name), writer='ffmpeg')\n else:\n plt.show()","def setDisplayMode(self):\n self.step = (self.max_step + int(self.include))\n self.display = Fourier.inverseTransform(\n self.coefficients, self.display_number)","def run(self):\n self.simulate_test_data()\n self.pipeline_test_data()\n self.plot_jump_flags_image()\n self.plot_groupdq_flags(pixel=[884, 550])\n self.plot_ramps_pre_post_correction(pixel=[884, 550])","def simulate(self, num_steps=100, vis_steps=1, img_steps=2000,\n abscissa=None, ordinate=20000, colour_herb=None,\n colour_carn=None):\n self.vis_steps = vis_steps\n self.img_steps = img_steps\n self.plot_update(num_steps, abscissa, ordinate,\n colour_herb, colour_carn)\n plt.show()","def fourLegSimulator(beta_list, gamma_list, beta_list2, gamma_list2, beta_list3, gamma_list3, beta_list4, gamma_list4, bodyHeight, femur, tibia):\n \n #import necessary packages\n import numpy as np \n import itertools # This package is specifically used for having multiple variable \"for\" loop using zip function\n from numpy import pi, sin, cos, sqrt\n import matplotlib.pyplot as plt\n import matplotlib.animation as animation\n get_ipython().run_line_magic('matplotlib', 'qt')\n\n\n\n # input parameters\n Femur_one_leg = femur # Length of femur (upper bone)\n Tibia_one_leg = tibia # Length of Tibia (lower bone)\n\n\n # Making arrays for containing value of respective coordinates\n X1 = np.zeros(len(beta_list)) # array for x_coordinates of moving point of femur\n Y1 = np.zeros(len(beta_list)) # array for y_coordinates of moving point of femur\n X2 = np.zeros(len(gamma_list)) # array for x_coordinates of moving point of tibia i.e end effector in our case\n Y2 = np.zeros(len(gamma_list)) # array for y_coordinates of moving point of tibia i.e end effector in our case\n \n X1_2 = np.zeros(len(beta_list2)) # array for x_coordinates of moving point of femur\n Y1_2 = np.zeros(len(beta_list2)) # array for y_coordinates of moving point of femur\n X2_2 = np.zeros(len(gamma_list2)) # array for x_coordinates of moving point of tibia i.e end effector in our case\n Y2_2 = np.zeros(len(gamma_list2)) # array for y_coordinates of moving point of tibia i.e end effector in our case\n\n X1_3 = np.zeros(len(beta_list3)) # array for x_coordinates of moving point of femur\n Y1_3 = np.zeros(len(beta_list3)) # array for y_coordinates of moving point of femur\n X2_3 = np.zeros(len(gamma_list3)) # array for x_coordinates of moving point of tibia i.e end effector in our case\n Y2_3 = np.zeros(len(gamma_list3)) # array for y_coordinates of moving point of tibia i.e end effector in our case \n \n \n X1_4 = np.zeros(len(beta_list4)) # array for x_coordinates of moving point of femur\n Y1_4 = np.zeros(len(beta_list4)) # array for y_coordinates of moving point of femur\n X2_4 = np.zeros(len(gamma_list4)) # array for x_coordinates of moving point of tibia i.e end effector in our case\n Y2_4 = np.zeros(len(gamma_list4)) # array for y_coordinates of moving point of tibia i.e end effector in our case\n \n \n #Populating the above defined arrays currently filled with zeros to respective coordinates\n #Here in the for loop zip function is used to iterate two variales simultaneously and enumerate function to return index numbers\n\n for index,(beta,gamma) in enumerate(zip(beta_list,gamma_list)):\n x1 = Femur_one_leg*cos(-beta - (pi/2)) # x-cooridnate of femur\n y1 = Femur_one_leg*sin(-beta - (pi/2)) # y-cooridnate of femur\n x2 = x1 + Tibia_one_leg*cos(-pi/2 - (beta + gamma)) # x-coordinate of tibia\n y2 = y1 + Tibia_one_leg*sin(-pi/2 - (beta + gamma)) # y-coordinate of tibia\n \n\n # using above used flag variables to replace zeros with respective corrdinates\n X1[index] = x1 \n Y1[index] = y1 \n X2[index] = x2 \n Y2[index] = y2 \n \n for index2,(beta2,gamma2) in enumerate(zip(beta_list2,gamma_list2)):\n x1_2 = Femur_one_leg*cos(-beta2 - (pi/2)) # x-cooridnate of femur\n y1_2 = Femur_one_leg*sin(-beta2 - (pi/2)) # y-cooridnate of femur\n x2_2 = x1_2 + Tibia_one_leg*cos(-pi/2 - (beta2 + gamma2)) # x-coordinate of tibia\n y2_2 = y1_2 + Tibia_one_leg*sin(-pi/2 - (beta2 + gamma2)) # y-coordinate of tibia\n \n\n # using above used flag variables to replace zeros with respective corrdinates\n X1_2[index2] = x1_2 \n Y1_2[index2] = y1_2 \n X2_2[index2] = x2_2 \n Y2_2[index2] = y2_2 \n\n for index3,(beta3,gamma3) in enumerate(zip(beta_list3,gamma_list3)):\n x1_3 = 40 + Femur_one_leg*cos(-beta3 - (pi/2)) # x-cooridnate of femur\n y1_3 = Femur_one_leg*sin(-beta3 - (pi/2)) # y-cooridnate of femur\n x2_3 = x1_3 + Tibia_one_leg*cos(-pi/2 - (beta3 + gamma3)) # x-coordinate of tibia\n y2_3 = y1_3 + Tibia_one_leg*sin(-pi/2 - (beta3 + gamma3)) # y-coordinate of tibia\n \n\n # using above used flag variables to replace zeros with respective corrdinates\n X1_3[index3] = x1_3 \n Y1_3[index3] = y1_3 \n X2_3[index3] = x2_3 \n Y2_3[index3] = y2_3\n \n for index4,(beta4,gamma4) in enumerate(zip(beta_list4,gamma_list4)):\n x1_4 = 40 + Femur_one_leg*cos(-beta4 - (pi/2)) # x-cooridnate of femur\n y1_4 = Femur_one_leg*sin(-beta4 - (pi/2)) # y-cooridnate of femur\n x2_4 = x1_4 + Tibia_one_leg*cos(-pi/2 - (beta4 + gamma4)) # x-coordinate of tibia\n y2_4 = y1_4 + Tibia_one_leg*sin(-pi/2 - (beta4 + gamma4)) # y-coordinate of tibia\n \n\n # using above used flag variables to replace zeros with respective corrdinates\n X1_4[index4] = x1_4 \n Y1_4[index4] = y1_4 \n X2_4[index4] = x2_4 \n Y2_4[index4] = y2_4 \n\n # Setting up figure and subplot\n\n fig = plt.figure()\n fig.canvas.set_window_title('One Leg trajectory Planning')\n ax = fig.add_subplot(111, aspect='equal', autoscale_on=False, xlim=(-30,70), ylim=(-50,50))\n ax.grid()\n ax.set_title('Leg Trajectory')\n ax.axes.xaxis.set_ticklabels([])\n ax.axes.yaxis.set_ticklabels([])\n \n line, = ax.plot([], [], 'o-', lw=5, color='#05143b')\n line2, = ax.plot([], [], 'o-', lw=5, color='#37acf0')\n line3, = ax.plot([], [], 'o-', lw=5, color='#05143b')\n line4, = ax.plot([], [], 'o-', lw=5, color='#37acf0')\n \n\n\n # initialization function\n def init():\n line.set_data([], [])\n line2.set_data([], [])\n line3.set_data([], [])\n line4.set_data([], [])\n return line,line2,line3,line4,\n\n # animation function\n def animate(i):\n x_points = [0, X1[i], X2[i]]\n y_points = [0, Y1[i], Y2[i]]\n \n x2_points = [0, X1_2[i], X2_2[i]]\n y2_points = [0, Y1_2[i], Y2_2[i]]\n \n x3_points = [40, X1_3[i], X2_3[i]]\n y3_points = [0, Y1_3[i], Y2_3[i]]\n \n x4_points = [40, X1_4[i], X2_4[i]]\n y4_points = [0, Y1_4[i], Y2_4[i]]\n \n\n line.set_data(x_points, y_points)\n line2.set_data(x2_points, y2_points)\n line3.set_data(x3_points, y3_points)\n line4.set_data(x4_points, y4_points)\n \n return line, line2, line3, line4\n\n # call the animation\n ani = animation.FuncAnimation(fig, animate, init_func=init, frames=len(X1), interval=100, blit=True, repeat=True)\n \n\n # plotting respective movement trajectories in the same plot\n plt.plot(X2,Y2, '#05143b')\n# plt.plot(X1,Y1)\n \n plt.plot(X2_2,Y2_2,'#37acf0')\n# plt.plot(X1_2,Y1_2)\n \n plt.plot(X2_3,Y2_3,'#05143b')\n# plt.plot(X1_3,Y1_3)\n \n plt.plot(X2_4,Y2_4,'#37acf0')\n# plt.plot(X1_4,Y1_4)\n \n \n \n plt.plot([-20,60],[-bodyHeight,-bodyHeight],'brown')\n plt.plot([-4,44],[0,0],'#010b24')\n plt.plot([-4,-4],[0,5],'#010b24')\n plt.plot([44,44],[0,5],'#010b24')\n plt.plot([-4,44],[5,5],'#010b24')\n \n for ind in range(100):\n plt.plot([-4,44],[ind*5/100,ind*5/100],'black')\n \n return None","def runFrame(self):\n self._drawFrame(self._advanceTime())","def animate():\n for c in itertools.cycle(['|', '/', '-', '\\\\']):\n if done:\n break\n sys.stdout.write('\\rLoading ' + c)\n sys.stdout.flush()\n time.sleep(0.1)\n #prefer sys.stdout instead of print for continuously updating\n #the Loading animation","def setDisplay(self):\n self.graph_display=[self.complexCompose(self.coefficients,(t+1)/self.display_number)[-1] for t in range(self.display_number)]","def step(self, move):","def main(self):\n\t\t\tfactor = 0.0\n\t\t\tif self.time.time() > (self.startTime + self.showTime + self.displayTime + self.hideTime):\n\t\t\t\tself.end()\n\t\t\telif self.time.time() > (self.startTime + self.showTime + self.displayTime):\n\t\t\t\t#Hide animation will occur here.\n\t\t\t\tfactor = (self.hideTime - (self.time.time() - (self.startTime + self.showTime + self.displayTime))) / self.hideTime\n\t\t\t\tself.frame.colors = [(0.2, 0.2, 0.2, (0.8 * factor)) for i in range(4)]\n\t\t\t\tself.frame._update_position(self.frame._base_size, [0.7, (1.0 - (0.2 * factor))])\n\t\t\t\tself.display._update_position(self.display._base_size, self.display._base_pos)\n\t\t\t\tself.display.text = self.text\n\t\t\t\n\t\t\telif self.time.time() > (self.startTime + self.showTime):\n\t\t\t\tif self.frame._base_pos != [0.7, 0.8]:\n\t\t\t\t\tself.frame._update_position(self.frame._base_size, [0.7, 0.8])\n\t\t\t\t\tself.display._update_position(self.display._base_size, self.display._base_pos)\n\t\t\t\t\tself.display.text = self.text\n\t\t\t\n\t\t\telse:\n\t\t\t\t#play show animation.\n\t\t\t\tfactor = (self.time.time() - self.startTime) / self.showTime\n\t\t\t\tself.frame.colors = [(0.2, 0.2, 0.2, (0.8 * factor)) for i in range(4)]\n\t\t\t\tself.frame._update_position(self.frame._base_size, [0.7, (1.0 - (0.2 * factor))])\n\t\t\t\tself.display._update_position(self.display._base_size, self.display._base_pos)\n\t\t\t\tself.display.text = self.text","def start_animation(self) -> None:\n increment_values = {0: 1, self.original_height: -1}\n self.increment = increment_values.get(self.current_height, 0) # Compressed if","def display(self, agent):\n agent.prepare()\n self.env.render()\n while not self.ended():\n self.perform(agent.act(self, verbose=True), render=True, delay=FAST)\n self.update()\n agent.update(self)\n self.env.close()","def animate_traj(traj, robot, pause=True, restore=True):\n if restore: _saver = openravepy.RobotStateSaver(robot)\n viewer = trajoptpy.GetViewer(robot.GetEnv())\n for (i,dofs) in enumerate(traj):\n print \"step %i/%i\"%(i+1,len(traj))\n robot.SetActiveDOFValues(dofs)\n if pause: viewer.Idle()\n else: viewer.Step()","def _update_anim(self):\n if self._skip_frames > 1:\n # Do not render while _skip_frames is > 1\n self._skip_frames -= 1\n else:\n # Render frame\n self._visualization.taskMgr.step()\n # Calculate number of frames that need to be skipped\n self._skip_frames = int(1 / self._fps / self._dt)","def step(self):\n for layer in self.layers:\n layer.step()","def graphics_loop(self, font):\n self.screen.blit(self.background, (0, 0))\n if not self.scroll:\n self.all_sprites.draw(self.screen)\n else:\n self.draw_onscreen()\n #display which step we're on\n if pygame.font:\n text = font.render(str(self.stepid), 1, (255, 255, 255))\n textpos = text.get_rect(centerx = int(\n (self.screen.get_width() * 0.5)))\n self.screen.blit(text, textpos)\n pygame.display.flip()\n #cap at x fps\n self.clock.tick(self.max_fps)","def display(self):\n count = 0\n self.displays[0].start() # call only once to support shift chain\n for d in self.displays:\n d.output(self.data[count])\n count += 1\n self.displays[0].latch() # call only once to support shift chain","def show_progress(self, game):\n if self.verbose:\n if self.params.eval_interval is not None and (self.episode % self.params.eval_interval == 0):\n self.print_progress()\n # evaluate one run\n state = game.reset()\n self.tracker.reset()\n done = False\n while not done:\n q_values = self.sess.run(self.graph.target_q_values, feed_dict={self.graph.states: [state]})\n action = np.argmax(q_values)\n state, reward, done, _ = game.step(action)\n self.tracker.step(reward)\n print('****** ', self.tracker.total_reward, self.tracker.discounted_rewards, ' ******')","def animate_menu(grid_display, cycle_img, cycle_rect, start_x, end_x, step, wall_color):\n\n if cycle_rect.right >= end_x:\n cycle_rect.left = start_x\n else:\n cycle_rect.move_ip(step, 0)\n\n pygame.draw.rect(grid_display, wall_color, (start_x, cycle_rect.top + 5, cycle_rect.left - start_x + 40,\n cycle_rect.height - 10))\n grid_display.blit(cycle_img, cycle_rect)","def episode_step(self):\n self.nsteps += 1","def step(self, steps):\n self._simulate(endStep=self.currentStep+steps)","def anim(self):\n\n if self.anims.get(0):\n if self.anims.get(0).done:\n # Remove current animation when done.\n self.anims.pop()\n else:\n # Progress current animation.\n self.anims.get(0).step()\n\n elif self.solving and self.solved():\n # Reset cube after `Cube.solve()`.\n self.queue.items = []\n self.solving = False\n\n elif self.queue.get(0):\n if self.timing and not self.scrambling and not self.timer.ing:\n # Start the timer after scrambling.\n self.timer.start()\n\n # Add queued moves to the animation queues.\n self.move(self.queue.pop())\n\n elif self.timer.ing and self.solved():\n # Stop the timer.\n self.timer.end()\n self.timing = False\n\n if self.solved() and self.timer.times[-1] != 'DNF':\n self.disp = True\n\n self.timer.update()","def __show_rules(self):\n self.clear_screen()\n self.__print_logo()\n self.__print_rules(left=20)\n input()","def animation1(strip, wait_ms=1, range_begin=0, range_end=-1, iteration_step=-1):\n if range_end == 1:\n range_end = strip.numPixels()\n\n j = iteration_step\n\n pixel_to_change = iteration_step % (range_end - range_begin) + range_begin\n\n if pixel_to_change - range_begin == 0:\n for i in range(range_begin, range_end):\n strip.setPixelColor(i, Color(0, 0, 255))\n strip.show()\n time.sleep(wait_ms/1000)\n for i in range(range_begin, range_end):\n strip.setPixelColor(i, Color(255, 0, 0))\n strip.show()\n #time.sleep(wait_ms/1000.0)","def playAGame(t_Param, t_Qtable, t_Movements, t_States, t_Rewards, t_Maze, t_line=None, t_point=None):\n # start from the position next to the entrance of maze.\n pos = np.array([1,1], np.int16)\n \n # a list to memorize history step with maximum memory length of 2\n path = [0,0]\n \n # update plot\n if t_line is not None and t_point is not None:\n xdata = [pos[1],]; ydata = [pos[0],]\n t_line.set_xdata(xdata); t_line.set_ydata(ydata)\n t_point.set_xdata([pos[1],]); t_point.set_ydata(pos[0,])\n #t_line.figure.canvas.draw()\n plt.pause(0.01)\n\n for k in range(t_Param[\"nStep_Max\"]):\n # calculate current state index\n state_idx = t_Param[\"ncol\"] * pos[0] + pos[1]\n\n # modify history\n path.append( state_idx ); path.remove( path[0] )\n\n # update current position , and then return choice\n choice = move(t_Qtable[state_idx, :], pos, t_Movements)\n\n # update plot\n if t_line is not None and t_point is not None:\n xdata.append(pos[1]); ydata.append(pos[0])\n t_line.set_xdata(xdata); t_line.set_ydata(ydata)\n t_point.set_xdata([pos[1],]); t_point.set_ydata(pos[0,])\n #t_line.figure.canvas.draw()\n plt.pause(0.01)\n\n # calculate new state index\n state_idx_new = t_Param[\"ncol\"] * pos[0] + pos[1]\n #print(f\"[{pos[0]:>2d}, {pos[1]:2d}]\", end=\" \")\n # get environment; based on the new position, get reward\n env = t_Maze[pos[0], pos[1]]\n \n # if is turning back, punish\n if state_idx_new in path:\n R = -2\n # get reward from the Maze pixel value of the new state\n else:\n R = t_Rewards[ env ]\n\n # update Qtable\n try:\n t_Qtable[state_idx,choice] = (1-Param[\"alpha\"]) * t_Qtable[state_idx,choice] + \\\n Param[\"alpha\"] * (R + Param[\"gamma\"] * t_Qtable[state_idx_new, :].max())\n except IndexError:\n print(pos[0],pos[1])\n break\n\n # whether game over\n if env != 3:\n break\n\n step = k+1\n \n # if reach maximum nStep, set env to 4\n if step == t_Param[\"nStep_Max\"]:\n env = 4\n\n return env, step, tuple(pos)","def showState(self):\n for i in self.state[0]:\n for j in self.state[1]:\n print(self.table[i][j], end=\"\")\n print(\"\")","def animation(self, t):\n self.program['u_clock'] = 2*t\n gloo.clear('black')\n self.program.draw('points')\n return _screenshot((0, 0, self.size[0], self.size[1]))[:,:,:3]","def update_animations():\n\tt = _pg.time.get_ticks()\n\tfor a in _running:\n\t\ta._update(t)","def run(self):\n self.axs[0][0].clear()\n simulate(params=self.params,plt=plt,callback=self.callback,home=self.home,work=self.work, positions=self.initial_positions, stopping_t=150)","def display_gameclock(interpolation):\n ## GOTCHA: See the comment in update_gameclock().\n sprite_group.clear(screen, eraser_image)\n for ball in sprite_group:\n ball.predict(interpolation, USE_PREDICTION)\n sprite_group.draw(screen)\n pygame.display.update()","def generate_mode_animation_html(self, i = 0 , is_3d = False ):\n \n from pyro.dynamic.statespace import linearize\n \n # \n ss = linearize( self )\n \n # Compute eigen decomposition\n ss.compute_eigen_modes()\n \n # Simulate one mode\n traj = ss.compute_eigen_mode_traj( i )\n \n # Animate mode\n animator = ss.get_animator()\n \n #label\n template = 'Mode %i \\n%0.1f+%0.1fj'\n label = template % (i, ss.poles[i].real, ss.poles[i].imag)\n animator.top_right_label = label\n \n animator.animate_simulation( traj, 3.0, is_3d , show = False)\n \n html_video = animator.ani.to_html5_video()\n \n return html_video","def display(self, grid):\n for i in range(grid.height):\n print(\"-\" + \"-------\"*grid.width)\n for j in range(grid.width):\n if not j:\n print(\"|\", end=\"\") # begin row with vertical line\n a = self.actions.get((i, j), ' ')\n print(\" %s |\" % a, end=\"\")\n print(\"\") # new line\n print(\"-\" + \"-------\"*grid.width, end='\\n\\n')"],"string":"[\n \"def animate(self):\\n if self.board.automaton.get() == \\\"life\\\":\\n self.state = self.life.game_of_life(self.state)\\n #self.life.random_activations(self.state)\\n elif self.board.automaton.get() == \\\"seeds\\\":\\n self.state = self.life.seeds(self.state)\\n else:\\n pass\\n\\n self.board.update_cells(self.state)\\n self.parent.after(DELAY, self.animate)\",\n \"def render(self):\\n step = 1\\n while step < self.number_steps and self.update():\\n step += 1\",\n \"def animate(agent, steps, initialize=None):\\n grid, r, c = random_world()\\n image = plt.imshow(grid, cmap=cmap, norm=norm)\\n if initialize:\\n state = initialize()\\n for t in range(steps):\\n draw_world(grid, r, c, image)\\n percept = get_percept(grid, r, c)\\n if initialize:\\n action, *state = agent(percept, *state)\\n else:\\n action = agent(percept)\\n\\n r, c = apply(grid, r, c, action)\\n plt.pause(0.0001)\\n plt.show()\",\n \"def step(self):\\n #nx.draw_networkx(self.G, nx.get_node_attributes(self.G, 'pos'))\\n self.schedule.step()\",\n \"def grid_animation_quick(self, frames, iterations=10, fps=0.02, figsize=(6, 6)):\\r\\n color_map = matplotlib.colors.ListedColormap(['white', 'black'])\\r\\n\\r\\n fig, ax = plt.subplots(figsize=figsize)\\r\\n\\r\\n for r in np.arange(0, iterations):\\r\\n ax.cla()\\r\\n ax.axes.grid(False)\\r\\n ax.set_axis_off()\\r\\n im = ax.imshow(frames[0], cmap=color_map, animated=True)\\r\\n for image, step in zip(frames[1:], np.arange(1, len(frames[1:])+1)):\\r\\n time.sleep(fps)\\r\\n ax.title.set_text('Rule 942 | Step ' + str(step) + ' | Active ' + str(int(np.sum(image))))\\r\\n im.set_data(image)\\r\\n fig.canvas.draw()\",\n \"def start_sim(self):\\n self.anim = animation.FuncAnimation(self.fig, self.anim_func, frames = self.timesteps, interval = 1, blit=True)\\n plt.show()\",\n \"def visualize_trial(self, n_steps=100):\\n\\n # prepare for the visualization\\n plb.ion()\\n mv = mountain_car.MountainCarViewer(self.mountain_car)\\n mv.create_figure(n_steps, n_steps)\\n plb.draw()\\n\\n # make sure the mountain-car is reset\\n self.mountain_car.reset()\\n\\n for n in range(n_steps):\\n print('\\\\rt =', self.mountain_car.t)\\n print(\\\"Enter to continue...\\\")\\n input()\\n\\n sys.stdout.flush()\\n\\n reward = self.mountain_car.act(self.agent.act())\\n self.agent.state = [self.mountain_car.x, self.mountain_car.vx]\\n\\n # update the visualization\\n mv.update_figure()\\n plb.draw()\\n\\n # check for rewards\\n if reward > 0.0:\\n print(\\\"\\\\rreward obtained at t = \\\", self.mountain_car.t)\\n break\",\n \"def do_animations(self):\\n self.animate_bloop(700, 160, 50)\",\n \"def step_animation(self):\\n self._light.toggle()\",\n \"def start_animation(self):\\n\\t\\ttime.sleep(1)\\n\\t\\tself.fishbowl.animate_balls()\",\n \"def run():\\r\\n \\r\\n match = a4_acc.Game() # Instantiate a Game object \\r\\n setup(match)\\r\\n\\r\\n if constants.SHOW_GRAPHICS:\\r\\n axes= startGraphics(match.board) #step 0\\r\\n \\r\\n \\r\\n for k in range(constants.STEPS):\\r\\n update(match)\\r\\n updateGraphics(board, k, caxes)\\r\\n \\r\\n ########\\r\\n # TO DO: \\r\\n # Simulate game given the intial state for constants.STEPS iterations\\r\\n \\r\\n # Example code to call the updateGraphics function; the second argument\\r\\n # needs to be replaced:\\r\\n # if constants.SHOW_GRAPHICS:\\r\\n # updateGraphics(match.board, None, axes) \\r\\n \\r\\n # Do not change or add code below here for function run\\r\\n endNow= raw_input('Press ENTER to continue.')\",\n \"def _animation_step(self, par_dict):\\n\\n t0 = time.time()\\n dt = par_dict[\\\"dt\\\"]\\n controller = par_dict[\\\"controller\\\"]\\n integrator = par_dict[\\\"integrator\\\"]\\n if controller is not None:\\n _, _, tau = controller.get_control_output(\\n meas_pos=self.x[:self.plant.dof],\\n meas_vel=self.x[self.plant.dof:],\\n meas_tau=np.zeros(self.plant.dof),\\n meas_time=self.t)\\n else:\\n tau = np.zeros(self.plant.n_actuators)\\n self.step(tau, dt, integrator=integrator)\\n ee_pos = self.plant.forward_kinematics(self.x[:self.plant.dof])\\n ee_pos.insert(0, self.plant.base)\\n ani_plot_counter = 0\\n for link in range(self.plant.n_links):\\n self.animation_plots[ani_plot_counter].set_data(\\n [ee_pos[link][0], ee_pos[link+1][0]],\\n [ee_pos[link][1], ee_pos[link+1][1]])\\n ani_plot_counter += 1\\n self.animation_plots[ani_plot_counter].set_data(ee_pos[link+1][0],\\n ee_pos[link+1][1])\\n ani_plot_counter += 1\\n\\n set_arrow_properties(self.tau_arrowarcs[link],\\n self.tau_arrowheads[link],\\n float(np.squeeze(tau)),\\n ee_pos[link][0],\\n ee_pos[link][1])\\n t = float(self.animation_plots[ani_plot_counter].get_text()[4:])\\n t = round(t+dt, 3)\\n self.animation_plots[ani_plot_counter].set_text(f\\\"t = {t}\\\")\\n\\n # if the animation runs slower than real time\\n # the time display will be red\\n if time.time() - t0 > dt:\\n self.animation_plots[ani_plot_counter].set_color(\\\"red\\\")\\n else:\\n self.animation_plots[ani_plot_counter].set_color(\\\"black\\\")\\n return self.animation_plots + self.tau_arrowarcs + self.tau_arrowheads\",\n \"def animate(frames):\\n plt.grid('on')\\n ax = plt.gca()\\n ax.set_xticks(np.arange(0.5, 10, 1))\\n ax.set_yticks(np.arange(0.5, 10, 1))\\n ax.set_xticklabels([])\\n ax.set_yticklabels([])\\n\\n for i in range(len(env_list)):\\n ax.imshow(env_list[i],cmap='binary')\\n plt.pause(0.05)\",\n \"def display(self):\\n for _jumpline in range(self.y):\\n print(end=\\\"\\\\n\\\")\\n for _height in range(self.height):\\n for _space in range(self.x):\\n print(\\\" \\\", end=\\\"\\\")\\n for _width in range(self.width):\\n print(\\\"#\\\", end=\\\"\\\")\\n print(end=\\\"\\\\n\\\")\",\n \"def animate(i, graph, node_positions, parameters, test=False):\\n #print(i)\\n if test:\\n node = graph.node[i]\\n node['adopter'] = 1\\n else:\\n evolution_step(graph, parameters)\\n draw_graph(graph, node_positions)\",\n \"def updateGraphics(board, step, caxes):\\r\\n boardArray= numpy.transpose(numpy.asarray(board))\\r\\n caxes.set_data(boardArray)\\r\\n plt.title('Step ' + str(step))\\r\\n plt.pause(constants.BLINK)\\r\\n plt.show()\",\n \"def display(self):\\n ob = self._convert_state(self._env.reset())\\n done = False\\n while not done:\\n ac, _ = self._act(ob, stochastic=False)\\n ob, rew, done, _ = self._env.step(ac)\\n ob = self._convert_state(ob)\\n self._env.render()\\n self._env.close()\",\n \"def show(self, fig=None):\\n i = 0\\n # for t = 0:obj.step_size:obj.duration\\n # TODO: make a generator?\\n iterator = np.linspace(0, self.duration(), num=math.ceil(self.duration() / self.step_precision) + 1)\\n tfInterp_l = np.zeros((4, 4, len(iterator)))\\n tfInterp_r = np.zeros((4, 4, len(iterator)))\\n for t in iterator:\\n [lfp, rfp] = self.footPosition(t)\\n tfInterp_l[:, :, i] = lfp\\n tfInterp_r[:, :, i] = rfp\\n i = i + 1\\n\\n self.show_tf(fig, tfInterp_l, len(iterator))\\n self.show_tf(fig, tfInterp_r, len(iterator))\",\n \"def step(self):\\n\\n #make a dictionary of rules and which are active\\n binary = self.int_to_8_bit_binary(self.rule_nbr)\\n binary_str = ''.join(binary)\\n\\n active_rules = dict(zip(CA_World.bin_0_to_7, list(binary_str)))\\n\\n\\n #variable to store the new computed line\\n #first one will always be zero as there is no rule\\n #find better explanation\\n new_line = [0]\\n\\n #compute the new line\\n\\n #for each ca triplet to check\\n for i in range(len(self.ca_lines[-1]) - 2):\\n #make the array of three cells together ex [1,0,0] starting at index one and ending at index 3 before the end\\n #then check to see if it is active from the dictionary\\n #add the new cell as a 1 if active else set it to 0\\n new_line.append(1 if active_rules[\\\"\\\".join(str(x) for x in self.ca_lines[-1][i:i + 3])] == '1' else 0)\\n\\n # variable to store the new computed line\\n # first one will always be zero as there is no rule\\n # find better explanation\\n new_line.append(0)\\n\\n\\n self.ca_lines.append(new_line)\\n\\n\\n #add leading and trailing zeroes to all entries in the history\\n for row in self.ca_lines:\\n row.insert(0,0)\\n row.append(0)\\n\\n self.set_display_from_lines()\",\n \"def run_next(self, action):\\r\\n self.screen.fill((0, 0, 0))\\r\\n\\r\\n # Run the simulation loop\\r\\n self.SimulationLoop(action)\\r\\n if GUIEnabled and self.settings.drawMenu:\\r\\n self.gui_app.paint(self.screen)\\r\\n\\r\\n pygame.display.flip()\\r\\n self.clock.tick(self.settings.hz)\\r\\n self.fps = self.clock.get_fps()\",\n \"def simulate(self, n: int, show_neighbourhood: bool = False):\\n self.draw_current_state(show_neighbourhood)\\n for _ in range(n):\\n self.move()\\n self.draw_current_state(show_neighbourhood)\\n self.plotting_engine.animate()\",\n \"def anime(df,filename,save=False):\\n walls = gc[\\\"walls\\\"]\\n obstacles = gc[\\\"obstacles\\\"]\\n destinations = gc[\\\"destinations\\\"]\\n\\n step_index = {}\\n for step in df.STEP:\\n step_index[step] = df.index[df.STEP == step]\\n\\n fig = plt.figure(figsize=matplotlib.figure.figaspect(1))\\n plt.gca().set_aspect('equal', adjustable='box')\\n ax = fig.add_subplot(111)\\n # contour\\n for wall in walls:\\n wall = plt.Polygon(wall.vertices,color=\\\"red\\\",alpha=0.2)\\n ax.add_patch(wall)\\n # obstacles\\n for obstacle in obstacles:\\n obst = plt.Circle(obstacle.center,obstacle.r,color=\\\"green\\\",alpha = 0.5)\\n ax.add_patch(obst)\\n # destinations\\n for dest in destinations:\\n dest_range = plt.Polygon(dest.dest_range,color=\\\"black\\\",alpha=0.5)\\n dest = plt.Polygon(dest.vertices,color=\\\"black\\\",alpha=0.2)\\n ax.add_patch(dest_range)\\n ax.add_patch(dest)\\n\\n ims = []\\n colors = [\\\"red\\\",\\\"blue\\\"]\\n for step in range(len(step_index)):\\n im = plt.scatter(df.y[step_index[step + 1]],\\n df.x[step_index[step + 1]],\\n color=[colors[i] for i in df.KIND[step_index[step+1]]],\\n s=80,\\n alpha=0.5)\\n ims.append([im])\\n\\n ani = animation.ArtistAnimation(fig,ims,interval=10)\\n plt.xlim(gc[\\\"min_xy\\\"][0],gc[\\\"max_xy\\\"][0])\\n plt.ylim(gc[\\\"min_xy\\\"][1],gc[\\\"max_xy\\\"][1])\\n # if save:\\n # print(\\\"start saving animation\\\")\\n # ani.save(filename)\\n # print(\\\"finish saving animation\\\")\\n plt.show()\",\n \"def animate(self,i): # Animate function is called iteratively\\n\\n for x in self.list_patient: # Traversing through each patient\\n x.Update()\\n # updating each\\n self.Computational_part()\\n # invoking obj's function\\n self.boot_induvidual_plot()\\n # invoking obj's function\",\n \"def anim():\\n i = 0\\n while 1:\\n\\n for r in Reprs:\\n r.draw(i)\\n i = i+ 1\\n i = i % len(t)\\n yield\",\n \"def _animate(self):\\n steps = (1, 7, 14)\\n if self.rect.x < self.start_x - 100:\\n self.change_dir = False\\n elif self.rect.x > self.start_x + 100:\\n self.change_dir = True\\n self.direction = -1 if self.change_dir else 1\\n self.rect.x += self.direction * choice(steps)\",\n \"def time_history_animation(self, frame_step=1, magnification=1):\\n import matplotlib.pyplot as plt\\n import matplotlib.animation as ani\\n\\n \\\"\\\"\\\"Retrieve maximum displacement for axis limits\\\"\\\"\\\"\\n max_list = [max(map(abs, item)) * magnification for item in self.displacement]\\n\\n \\\"\\\"\\\"Start figure for animation\\\"\\\"\\\"\\n fig = plt.figure()\\n ax = fig.add_subplot(111)\\n\\n \\\"\\\"\\\"Define the rectangles that represent the DOFs\\\"\\\"\\\"\\n rectangle = []\\n for i in range(len(self.coordinates)):\\n rectangle.append(plt.Rectangle((self.coordinates[i][0],\\n self.coordinates[i][1]),\\n self.size[i][0], self.size[i][1], alpha=0.5))\\n\\n \\\"\\\"\\\"Init function for animation draws the frame, so that blip can be used and the animation runs faster\\\"\\\"\\\"\\n\\n def init():\\n for i in range(len(self.coordinates)):\\n ax.add_patch(rectangle[i])\\n plt.axis('auto')\\n plt.xlim([-max(max_list) + min(self.coordinates[:][0]),\\n max(max_list) + max([item[0] for item in self.coordinates]) + max(self.size[:][0])])\\n return rectangle\\n\\n \\\"\\\"\\\"Animation function: only the coordinates of the rectangles are updated here\\\"\\\"\\\"\\n\\n def motion(t_step):\\n for i in range(len(self.coordinates)):\\n rectangle[i].set_xy((float(self.coordinates[i][0]\\n + self.displacement[i][t_step * frame_step] * magnification),\\n float(self.coordinates[i][1])))\\n return rectangle\\n\\n \\\"\\\"\\\"Animation function: inter gives the time delay between frames in milli seconds\\\"\\\"\\\"\\n inter = int(1000 * self.dt * frame_step)\\n self.anim = ani.FuncAnimation(fig,\\n motion,\\n init_func=init,\\n interval=inter,\\n blit=True)\\n\\n motion(int(len(self.displacement) / frame_step))\\n plt.show()\",\n \"def run_anime(self, inval=10, rep=True, blitit=False):\\n ani = animation.FuncAnimation(self.fig, self.animate,\\n len(self.artists[0][0]), repeat=rep,\\n interval=inval, blit=blitit,\\n init_func=self.init_anime)\\n plt.show()\",\n \"def animate(x,y,title=None,step=None,pause=0.001):\\n plt.clf()\\n\\n if step is not None and title is not None:\\n plt.title(\\\"%s (Step %d)\\\" %(title,step))\\n\\n plt.plot(x,y)\\n plt.draw()\\n plt.pause(pause)\\n plt.show(block=False)\",\n \"def run(self) -> None:\\n for episode in range(1, self.episodes + 1):\\n print('Episode:', episode)\\n steps, state_action_history = self.run_one_episode()\\n self.steps_per_episode.append(steps)\\n if episode % parameters.CACHING_INTERVAL == 0 or steps < 1000:\\n visualize.animate_track(state_action_history, f'agent-{episode}')\\n\\n print('Training completed.')\\n visualize.plot_steps_per_episode(self.steps_per_episode)\\n visualize.plot_epsilon(self.agent.epsilon_history)\\n\\n if parameters.VISUALIZE_FINAL_GAME:\\n print('Showing one episode with the greedy strategy.')\\n self.agent.epsilon = 0\\n steps, state_action_history = self.run_one_episode()\\n print(f'Episode completed in {steps} steps.')\\n visualize.animate_track(state_action_history)\",\n \"def step(self, state):\",\n \"def display(self):\\n for r in range(1, self.size+1):\\n print(\\\"+\\\" + (\\\"-+\\\"*self.size))\\n print(\\\"|\\\", end=\\\"\\\")\\n for c in range(1, self.size+1):\\n print(self.gameState[r,c], end=\\\"\\\")\\n print(\\\"|\\\",end=\\\"\\\")\\n print()\\n print(\\\"+\\\" + (\\\"-+\\\"*self.size))\",\n \"def display(self):\\r\\n os.system('cls')\\r\\n index = 0\\r\\n for i in self.list:\\r\\n print(str(index) + \\\" \\\" + i.showRule())\\r\\n index += 1\",\n \"def step(self):\\n # update the score\\n isScoreUpdated = self.update_score()\\n \\n # the player hit an obstacle\\n isFail = self.fail()\\n if isFail:\\n self.inGame = False\\n # display an explosion instead of the bird image\\n self.bird.img = jpg2numpy(self.args.explosion_sprite, self.args.explosion_dims)\\n\\n # if the AI is playing: take an action\\n if not self.isHuman:\\n self.agent.choose_action() \\n \\n # compute the new bird position\\n self.bird.move()\\n \\n # scroll 1 frame and generate the new environment\\n new_state = self.env.scroll()\\n \\n # if the AI is playing: set the new state\\n if not self.isHuman:\\n # get the new_state\\n new_state = self.env.get_state()\\n # feed the transition information to the agent\\n self.agent.set_transition(new_state, isScoreUpdated, isFail) \\n \\n # only display 1 frame every 'n_frames' frames for fluidity\\n if not self.muteDisplay and (self.fail() or (self.isHuman and (self.t % self.args.n_frames_human == 0)) or (not self.isHuman and (self.t % self.args.n_frames_ai == 0))): \\n # change the displayed image to account for changes\\n self.im.set_data(self.env.map)\\n # update the image without pausing\\n plt.draw()\\n \\n # new time step\\n self.t += 1\\n self.hasJumped = False\",\n \"def animate(directory,gifname,n_t,step=2,duration=0.2):\\n\\t# create list of filenames\\n\\tfnames = dir_fname(directory,\\\"*\\\")\\n\\t# create list of plots\\n\\timages=[] \\n\\tfor k in range(0,n_t):\\n\\t\\tk = k*step\\n\\t\\tprint('Mounting Im '+ str(k))\\n\\t\\tFIG_NAME=fnames[k]\\n\\t\\timages.append(imageio.imread(FIG_NAME)) # read\\n\\t# Now we can assemble the video\\n\\timageio.mimsave(gifname, images,duration=duration) # create gif\\n\\tprint('Animation'+gifname+'Ready')\\n\\treturn True\",\n \"def Advance():\\n warp.step()\",\n \"def example(self):\\n while self.check_end() == False:\\n plt.pause(0.25)\\n end = self.update_board(random.choice(self.get_actions()), True)\",\n \"def cont(a=0, show_arrows=True):\\n global simulator, recorder\\n if simulator is None:\\n print \\\"Program is not started\\\"\\n return\\n __record(pc(), cont, a)\\n try:\\n simulator.step(a)\\n while True:\\n simulator.step()\\n except:\\n simulation_error()\\n exec_hooks(cont)\\n if show_arrows:\\n arrows()\",\n \"def drawJumper(self):\\n for x in self.jumper:\\n print(x)\",\n \"def step(self):\\n #1. Time progresses\\n self.time_operator.step()\\n \\n #2. Form and dissolve relationships\\\"\\n self.relationship_operator.step()\\n\\n #3. HIV transmission\\n self.infection_operator.step()\",\n \"def animate(self, save_path=None):\\n interval = 100 # 1 frame per interval ms\\n frames = int(20 * len(self.experienced_states_kancks_paths) / self.frame_skip) # times to call updatefig\\n blit = True # acceralate computation\\n ani = animation.FuncAnimation(self.fig, self.updateifig, frames=frames,\\n interval=interval, blit=blit)\\n if save_path is not None:\\n ani.save(os.path.join(save_path, 'anim.mp4'), writer='ffmpeg')\\n else:\\n plt.show()\",\n \"def display_loop(self):\\n from time import sleep\\n self.displaying = True\\n while self.displaying:\\n print self\\n sleep(.083)\\n print loc(self.y, self.x) + ' '*self.size\",\n \"def SetAnimationStep(self, step):\\r\\n\\r\\n self._animation_step = float(step)\",\n \"def start(self, total_iterations):\\n sys.stdout.write(\\\"[%s]\\\" % (\\\" \\\" * self.width))\\n sys.stdout.flush()\\n # return to start of line, after '['\\n sys.stdout.write(\\\"\\\\b\\\" * (self.width+1)) \\n\\n self.state, self.total = 0, total_iterations\",\n \"def generate_animated_gif(env, case_dir, save_dir, writer='imagemagick'):\\n # initialize actor\\n actor = Actor(env.num_states, env.num_actions)\\n # Load trained actor\\n trained_actor = torch.load(os.path.join(os.getcwd(), case_dir, 'actor_trained.pt'))\\n actor.load_state_dict(trained_actor)\\n\\n s = env.reset()\\n s_traj = [s]\\n done = False\\n while not done:\\n (mu, std) = actor(torch.from_numpy(s))\\n dist = torch.distributions.normal.Normal(mu, std)\\n a = dist.sample().numpy()\\n (s, r, done) = env.step(a)\\n s_traj.append(s)\\n\\n fig = plt.figure(figsize=(5, 4))\\n ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1.2, 1.2), ylim=(-1.2, 1.2))\\n ax.set_aspect('equal')\\n ax.grid()\\n line, = ax.plot([], [], 'o-', lw=2)\\n text = ax.set_title('')\\n\\n def animate(i):\\n theta = s_traj[i][0]\\n line.set_data([0, -np.sin(theta)], [0, np.cos(theta)])\\n text.set_text(f'time = {i * env.dt:3.1f}')\\n return line, text\\n\\n anim = animation.FuncAnimation(fig, animate, len(s_traj), interval=(1000 * env.dt), blit=True, repeat=False)\\n anim.save(os.path.join(save_dir, 'animated_trajectory.gif'), writer=writer, fps=10)\\n\\n plt.close()\",\n \"def on_step(self) -> None:\\r\\n\\r\\n if self.board == None:\\r\\n return\\r\\n\\r\\n TkState.disable(self.edit_menu.winfo_children())\\r\\n TkState.enable([self.reset_button])\\r\\n self.anim_board.next_gen()\\r\\n self.on_new_generation()\\r\\n self.painter.draw_board()\",\n \"def animate(self, interval=100, title='test', medium_from=None, medium_to=None):\\n # data input\\n N = self.get_N()\\n plotting_data = self.data[:,N:2*N]\\n time = self.get_time()\\n y_min = np.min(plotting_data)\\n y_max = np.max(plotting_data)\\n n_frames = plotting_data.shape[0]\\n \\n # initialization of plots\\n fig = plt.figure()\\n ax = plt.axes(xlim=(0, N), ylim=(y_min, y_max))\\n time_text = ax.text(0.02, 0.95, '', transform=ax.transAxes)\\n time_text.set_text('')\\n l, = plt.plot([], [], '.-')\\n plt.xlabel('bead number')\\n plt.ylabel('velocity (computer units)')\\n plt.title(title)\\n \\n # visualize interfaces\\n if medium_from is not None:\\n if medium_to is None:\\n medium_to = N\\n \\n plt.fill_between(range(medium_from, medium_to+1), y_min, y_max, facecolor='red', alpha=0.5)\\n \\n # updat4e function for animation\\n def update_line(num, plotting_data, time, line):\\n dat = plotting_data[num,:]\\n line.set_data([range(len(dat)), dat])\\n time_text.set_text('time = %.1f' % time[num])\\n line.set_label('t= 10')\\n return line,\\n \\n line_ani = animation.FuncAnimation(fig, update_line, n_frames, fargs=(plotting_data, time, l), interval=interval, blit=False)\\n return line_ani\",\n \"def example_2(): \\n maze = MazeWorld(8,8)\\n for i in range(maze.width):\\n if i is not 6 : maze.add_wall([2, i], \\\"N\\\") \\n for i in range(maze.width):\\n if i is not 2 : maze.add_wall([5, i], \\\"N\\\")\\n n_step = 4\\n E = maze.compute_empowerment(n_step=n_step, n_samples=8000)\\n maze.plot(colorMap=E)\\n plt.title('%i-step empowerment' % n_step)\\n plt.show()\",\n \"def show_progress(self, game):\\n if self.verbose:\\n if self.params.eval_interval is not None and (self.episode % self.params.eval_interval == 0):\\n self._print_progress()\\n # evaluate one run\\n state = game.reset()\\n self.tracker.reset()\\n done = False\\n while not done:\\n controls = self.sess.run(self.graph.target_actor_outputs,\\n feed_dict={self.graph.states: np.array([state])}).reshape(-1)\\n state, reward, done, _ = game.step(controls)\\n self.tracker.step(reward)\\n print('****** ', self.tracker.total_reward, self.tracker.discounted_rewards, ' ******')\",\n \"def step(self):\\n self.latent.step()\",\n \"def horde_step(self, observation):\",\n \"def display_hangman(self):\\n print(Fore.CYAN + HANGMAN_PICS[self.stage])\\n print('\\\\n')\\n print(self.progress + Style.RESET_ALL)\\n print('\\\\n')\",\n \"def animate():\\n for c in itertools.cycle(['|', '/', '-', '\\\\\\\\']):\\n if done:\\n break\\n sys.stdout.write('\\\\rloading ' + c)\\n sys.stdout.flush()\\n time.sleep(0.1)\\n sys.stdout.write('\\\\rDone! ')\",\n \"def printStep(self):\\n\\n\\t\\tprint '\\\\nConfiguracao da fita: ',\\n\\n\\t\\tcount = 0\\n\\t\\twhile count < len(self.tape):\\n\\t\\t\\tif count == self.currentPos:\\n\\t\\t\\t\\tprint '_',\\n\\n\\t\\t\\tprint self.tape[count],\\n\\t\\t\\tcount += 1\\n\\n\\t\\tprint '\\\\nEstado atual: ', self.currentState\",\n \"def startPresentation(ntrials):\\n\\n for trialIdx in range(ntrials):\\n\\n # draw the fixcross followed by the star\\n drawFixCross(1.0)\\n drawStar(4.0)\",\n \"def step(self, screen):\\n max_y, _ = screen.getmaxyx()\\n allowed_y = range(0, max_y)\\n def is_on_screen(y):\\n return y in allowed_y\\n still_visible = False\\n y, x = -1, -1\\n for char in self.characters:\\n y, x = int(char.y), char.x\\n char.y += self.min_falling_speed\\n if not is_on_screen(y):\\n continue\\n still_visible = True\\n screen.addstr(y, x, char.symbol, char.color)\\n # Clear trail of characters after column\\n y -= 1\\n while is_on_screen(y):\\n screen.addstr(y, x, ' '*self.width)\\n y -= 1\\n return still_visible\",\n \"def animate(results, draw_func, *args, interval=None):\\n plt.figure()\\n try:\\n for t, state in results.iterrows():\\n draw_func(t, state, *args)\\n plt.show()\\n if interval:\\n sleep(interval)\\n clear_output(wait=True)\\n draw_func(t, state, *args)\\n plt.show()\\n except KeyboardInterrupt:\\n pass\",\n \"def next_step(self):\\n\\n c = 1\\n dt = 0.001\\n dx = 1 / 20**2\\n\\n # copy current state first\\n next_state = np.copy(self.state)\\n\\n # iterate over matrix\\n for i in range(self.width - 1):\\n for j in range(self.height - 1):\\n\\n if not self.shape == \\\"circle\\\" or self.circle[i, j] == 1:\\n\\n # left bottom corner\\n if i == 0 and j == 0:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + 0\\\\\\n + 0 + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i, j]\\n # right top corner\\n elif i == 0 and j == self.height - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (0 + self.state[i + 1, j]\\\\\\n + self.state[i, j - 1] + 0\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n # right bottom corner\\n elif i == self.width - 1 and j == 0:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i, j - 1] + 0\\\\\\n + 0 + self.state[i - 1, j]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n # left bottom corner\\n elif i == self.width - 1 and j == self.height - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i, j - 1] + self.state[i - 1, j]\\\\\\n + 0 + 0\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif i == 0: # j is not 0\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + 0\\\\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif j == 0:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\\\\n + 0 + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif i == self.width - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (0 + self.state[i - 1, j]\\\\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n elif j == self.height - 1:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\\\\n + self.state[i, j - 1] + 0\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n else:\\n next_state[i, j] = ((c * dt)/ dx)** 2\\\\\\n * (self.state[i + 1, j] + self.state[i - 1, j]\\\\\\n + self.state[i, j - 1] + self.state[i, j + 1]\\\\\\n - 4 * self.state[i, j])\\\\\\n + 2 * self.state[i, j] - self.prev_state[i , j]\\n\\n self.prev_state = np.copy(self.state)\\n self.state = np.copy(next_state)\\n\\n self.timestep += 1\",\n \"def step(self):\\n self.game.step()\",\n \"def next_step():\\n global fenetre, grid\\n if len(l)>2:\\n board_display(l[0])\\n l.pop(0)\\n steps.set(str(len(l))+\\\" steps remaining\\\")\\n elif len(l)==2:\\n board_display(l[0])\\n l.pop(0)\\n steps.set(str(len(l))+\\\" step remaining\\\")\\n else:\\n board_display(l[0])\\n steps.set(\\\"No more steps remaining\\\")\\n btn.set(\\\"Finished!\\\")\",\n \"def train(self, n_steps=1000, show=False):\\n epsilon = 0.01\\n state = self.env.reset()\\n done = False\\n episode_rewards = []\\n episode_reward = 0\\n losses = []\\n for step_i in range(n_steps):\\n action = self.act(state, epsilon)\\n next_state, reward, done, _ = self.env.step(action)\\n episode_reward += reward\\n\\n self.optimizer.zero_grad()\\n loss = self._compute_loss(state, action, reward, next_state, done)\\n losses.append(loss)\\n loss.backward()\\n self.optimizer.step()\\n\\n if done:\\n state = self.env.reset()\\n episode_rewards.append(episode_reward)\\n episode_reward = 0\\n else:\\n state = next_state\\n \\n if show:\\n self._plot(step_i, episode_rewards, losses)\",\n \"def Start(self): # this is used to start the object\\n ani = anim.FuncAnimation(self.f, self.animate, interval=1000)\\n # animating object wth 1 sec gap\\n self.plt_0.tight_layout()\\n self.plt_0.show()\\n # showing the plot\",\n \"def step(self):\\n r, c = self.ant_r, self.ant_c\\n if self.grid[r][c] == LangtonAnt.WHITE:\\n self.direction = rotate_counterclock(self.direction)\\n self.grid[r][c] = LangtonAnt.BLACK\\n else:\\n self.direction = rotate_clockwise(self.direction)\\n self.grid[r][c] = LangtonAnt.WHITE\\n\\n self.ant_r -= self.direction[1]\\n self.ant_c += self.direction[0]\",\n \"def step(self):\\n self.turn_on_corners()\\n part_1.Grid.step(self)\\n self.turn_on_corners()\",\n \"def step(self, amt=1):\\n \\n # For checking if all the animations have their framse looked at\\n #activewormind = [i for i, x in enumerate(self._idlelist) if x == False]\\n #print \\\"Worm {} at {:5g}\\\".format(activewormind, 1000*(time.time() - starttime))\\n # save times activated for each worm \\n [self.timedata[i].append(1000*(time.time() - starttime)) for i, x in enumerate(self._idlelist) if x == False]\\n \\n #self._led.buffer = [0] * 480\\n self._led.pixheights = [-100] * self._led.numLEDs\\n #print type(self._led.buffer)\\n for ledcopy in self._ledcopies:\\n # self._led.buffer = map(ixor, self._led.buffer, ledcopy.buffer)\\n # use pixheights but assume all buffers same size\\n # print ledcopy.driver[0].pixheights\\n for pix in range(self._led.numLEDs):\\n #for ledcopy in self._ledcopies:\\n if self._led.pixheights[pix] == ledcopy.driver[0].pixheights[pix]:\\n for i in range(3):\\n self._led.buffer[3*pix + i] ^= ledcopy.buffer[3*pix + i]\\n elif self._led.pixheights[pix] < ledcopy.driver[0].pixheights[pix]:\\n for i in range(3):\\n self._led.buffer[3*pix + i] = ledcopy.buffer[3*pix + i]\\n self._led.pixheights[pix] = ledcopy.driver[0].pixheights[pix] \\n self._step += 1\",\n \"def show_evolution_chromosome(to_show, steps):\\n pattern = np.fromstring('1 1 0 1 0 1 0 1 0 1', dtype=int, sep=' ')\\n board = Board(pattern, 2)\\n if to_show:\\n gui = Gui(board,steps, 50)\\n tkinter.Button(text=\\\"Start\\\", command=lambda: TimerUpdate(gui)).pack()\\n gui.window.mainloop()\\n else:\\n board.print_pattern()\\n board.evolve(steps)\\n board.print_data()\",\n \"def performSimulation(self):\\n \\n if self.parameters['verbose']:\\n print(\\\"=====================\\\\nStarting simulation with parameters\\\\n\\\",self.parameters)\\n print(\\\"=====================\\\\nInitial Graph\\\\n\\\")\\n self.showState()\\n print(\\\"=====================\\\")\\n\\n while self.parameters['steps'] > 0:\\n if self.parameters['verbose']: print(\\\"Performing step\\\")\\n self.performStep()\\n if self.parameters['verbose']: self.showState()\\n\\n if self.parameters['verbose']:\\n print(\\\"=====================\\\\nFinished Simulation\\\\n\\\\nResult graph:\\\")\\n self.showState()\\n #self.showGraph(self.parameters['file_name'])\\n #self.showState()\\n #self.showStats()\",\n \"def step(self):\\n self.schedule.step()\",\n \"def step_button(self):\\r\\n self.update_settings()\\r\\n self.set_val(\\\"display_move\\\")\\r\\n if self.step_call is not None:\\r\\n self.step_call()\",\n \"def animate(self, save_path=None):\\n interval = 100 # 1 frame per interval ms\\n # frames = int(len(self.map_paths) / self.frame_skip) # times to call updatefig\\n frames = int(min(len(self.map_paths) / self.frame_skip, len(self.experienced_states_kancks_paths) / self.frame_skip / 2))\\n frames -= 1 # because of my bad logging\\n blit = True # acceralate computation\\n ani = animation.FuncAnimation(self.fig, self.updateifig, frames=frames,\\n interval=interval, blit=blit)\\n if save_path is not None:\\n ani.save(os.path.join(save_path, self.save_name), writer='ffmpeg')\\n else:\\n plt.show()\",\n \"def setDisplayMode(self):\\n self.step = (self.max_step + int(self.include))\\n self.display = Fourier.inverseTransform(\\n self.coefficients, self.display_number)\",\n \"def run(self):\\n self.simulate_test_data()\\n self.pipeline_test_data()\\n self.plot_jump_flags_image()\\n self.plot_groupdq_flags(pixel=[884, 550])\\n self.plot_ramps_pre_post_correction(pixel=[884, 550])\",\n \"def simulate(self, num_steps=100, vis_steps=1, img_steps=2000,\\n abscissa=None, ordinate=20000, colour_herb=None,\\n colour_carn=None):\\n self.vis_steps = vis_steps\\n self.img_steps = img_steps\\n self.plot_update(num_steps, abscissa, ordinate,\\n colour_herb, colour_carn)\\n plt.show()\",\n \"def fourLegSimulator(beta_list, gamma_list, beta_list2, gamma_list2, beta_list3, gamma_list3, beta_list4, gamma_list4, bodyHeight, femur, tibia):\\n \\n #import necessary packages\\n import numpy as np \\n import itertools # This package is specifically used for having multiple variable \\\"for\\\" loop using zip function\\n from numpy import pi, sin, cos, sqrt\\n import matplotlib.pyplot as plt\\n import matplotlib.animation as animation\\n get_ipython().run_line_magic('matplotlib', 'qt')\\n\\n\\n\\n # input parameters\\n Femur_one_leg = femur # Length of femur (upper bone)\\n Tibia_one_leg = tibia # Length of Tibia (lower bone)\\n\\n\\n # Making arrays for containing value of respective coordinates\\n X1 = np.zeros(len(beta_list)) # array for x_coordinates of moving point of femur\\n Y1 = np.zeros(len(beta_list)) # array for y_coordinates of moving point of femur\\n X2 = np.zeros(len(gamma_list)) # array for x_coordinates of moving point of tibia i.e end effector in our case\\n Y2 = np.zeros(len(gamma_list)) # array for y_coordinates of moving point of tibia i.e end effector in our case\\n \\n X1_2 = np.zeros(len(beta_list2)) # array for x_coordinates of moving point of femur\\n Y1_2 = np.zeros(len(beta_list2)) # array for y_coordinates of moving point of femur\\n X2_2 = np.zeros(len(gamma_list2)) # array for x_coordinates of moving point of tibia i.e end effector in our case\\n Y2_2 = np.zeros(len(gamma_list2)) # array for y_coordinates of moving point of tibia i.e end effector in our case\\n\\n X1_3 = np.zeros(len(beta_list3)) # array for x_coordinates of moving point of femur\\n Y1_3 = np.zeros(len(beta_list3)) # array for y_coordinates of moving point of femur\\n X2_3 = np.zeros(len(gamma_list3)) # array for x_coordinates of moving point of tibia i.e end effector in our case\\n Y2_3 = np.zeros(len(gamma_list3)) # array for y_coordinates of moving point of tibia i.e end effector in our case \\n \\n \\n X1_4 = np.zeros(len(beta_list4)) # array for x_coordinates of moving point of femur\\n Y1_4 = np.zeros(len(beta_list4)) # array for y_coordinates of moving point of femur\\n X2_4 = np.zeros(len(gamma_list4)) # array for x_coordinates of moving point of tibia i.e end effector in our case\\n Y2_4 = np.zeros(len(gamma_list4)) # array for y_coordinates of moving point of tibia i.e end effector in our case\\n \\n \\n #Populating the above defined arrays currently filled with zeros to respective coordinates\\n #Here in the for loop zip function is used to iterate two variales simultaneously and enumerate function to return index numbers\\n\\n for index,(beta,gamma) in enumerate(zip(beta_list,gamma_list)):\\n x1 = Femur_one_leg*cos(-beta - (pi/2)) # x-cooridnate of femur\\n y1 = Femur_one_leg*sin(-beta - (pi/2)) # y-cooridnate of femur\\n x2 = x1 + Tibia_one_leg*cos(-pi/2 - (beta + gamma)) # x-coordinate of tibia\\n y2 = y1 + Tibia_one_leg*sin(-pi/2 - (beta + gamma)) # y-coordinate of tibia\\n \\n\\n # using above used flag variables to replace zeros with respective corrdinates\\n X1[index] = x1 \\n Y1[index] = y1 \\n X2[index] = x2 \\n Y2[index] = y2 \\n \\n for index2,(beta2,gamma2) in enumerate(zip(beta_list2,gamma_list2)):\\n x1_2 = Femur_one_leg*cos(-beta2 - (pi/2)) # x-cooridnate of femur\\n y1_2 = Femur_one_leg*sin(-beta2 - (pi/2)) # y-cooridnate of femur\\n x2_2 = x1_2 + Tibia_one_leg*cos(-pi/2 - (beta2 + gamma2)) # x-coordinate of tibia\\n y2_2 = y1_2 + Tibia_one_leg*sin(-pi/2 - (beta2 + gamma2)) # y-coordinate of tibia\\n \\n\\n # using above used flag variables to replace zeros with respective corrdinates\\n X1_2[index2] = x1_2 \\n Y1_2[index2] = y1_2 \\n X2_2[index2] = x2_2 \\n Y2_2[index2] = y2_2 \\n\\n for index3,(beta3,gamma3) in enumerate(zip(beta_list3,gamma_list3)):\\n x1_3 = 40 + Femur_one_leg*cos(-beta3 - (pi/2)) # x-cooridnate of femur\\n y1_3 = Femur_one_leg*sin(-beta3 - (pi/2)) # y-cooridnate of femur\\n x2_3 = x1_3 + Tibia_one_leg*cos(-pi/2 - (beta3 + gamma3)) # x-coordinate of tibia\\n y2_3 = y1_3 + Tibia_one_leg*sin(-pi/2 - (beta3 + gamma3)) # y-coordinate of tibia\\n \\n\\n # using above used flag variables to replace zeros with respective corrdinates\\n X1_3[index3] = x1_3 \\n Y1_3[index3] = y1_3 \\n X2_3[index3] = x2_3 \\n Y2_3[index3] = y2_3\\n \\n for index4,(beta4,gamma4) in enumerate(zip(beta_list4,gamma_list4)):\\n x1_4 = 40 + Femur_one_leg*cos(-beta4 - (pi/2)) # x-cooridnate of femur\\n y1_4 = Femur_one_leg*sin(-beta4 - (pi/2)) # y-cooridnate of femur\\n x2_4 = x1_4 + Tibia_one_leg*cos(-pi/2 - (beta4 + gamma4)) # x-coordinate of tibia\\n y2_4 = y1_4 + Tibia_one_leg*sin(-pi/2 - (beta4 + gamma4)) # y-coordinate of tibia\\n \\n\\n # using above used flag variables to replace zeros with respective corrdinates\\n X1_4[index4] = x1_4 \\n Y1_4[index4] = y1_4 \\n X2_4[index4] = x2_4 \\n Y2_4[index4] = y2_4 \\n\\n # Setting up figure and subplot\\n\\n fig = plt.figure()\\n fig.canvas.set_window_title('One Leg trajectory Planning')\\n ax = fig.add_subplot(111, aspect='equal', autoscale_on=False, xlim=(-30,70), ylim=(-50,50))\\n ax.grid()\\n ax.set_title('Leg Trajectory')\\n ax.axes.xaxis.set_ticklabels([])\\n ax.axes.yaxis.set_ticklabels([])\\n \\n line, = ax.plot([], [], 'o-', lw=5, color='#05143b')\\n line2, = ax.plot([], [], 'o-', lw=5, color='#37acf0')\\n line3, = ax.plot([], [], 'o-', lw=5, color='#05143b')\\n line4, = ax.plot([], [], 'o-', lw=5, color='#37acf0')\\n \\n\\n\\n # initialization function\\n def init():\\n line.set_data([], [])\\n line2.set_data([], [])\\n line3.set_data([], [])\\n line4.set_data([], [])\\n return line,line2,line3,line4,\\n\\n # animation function\\n def animate(i):\\n x_points = [0, X1[i], X2[i]]\\n y_points = [0, Y1[i], Y2[i]]\\n \\n x2_points = [0, X1_2[i], X2_2[i]]\\n y2_points = [0, Y1_2[i], Y2_2[i]]\\n \\n x3_points = [40, X1_3[i], X2_3[i]]\\n y3_points = [0, Y1_3[i], Y2_3[i]]\\n \\n x4_points = [40, X1_4[i], X2_4[i]]\\n y4_points = [0, Y1_4[i], Y2_4[i]]\\n \\n\\n line.set_data(x_points, y_points)\\n line2.set_data(x2_points, y2_points)\\n line3.set_data(x3_points, y3_points)\\n line4.set_data(x4_points, y4_points)\\n \\n return line, line2, line3, line4\\n\\n # call the animation\\n ani = animation.FuncAnimation(fig, animate, init_func=init, frames=len(X1), interval=100, blit=True, repeat=True)\\n \\n\\n # plotting respective movement trajectories in the same plot\\n plt.plot(X2,Y2, '#05143b')\\n# plt.plot(X1,Y1)\\n \\n plt.plot(X2_2,Y2_2,'#37acf0')\\n# plt.plot(X1_2,Y1_2)\\n \\n plt.plot(X2_3,Y2_3,'#05143b')\\n# plt.plot(X1_3,Y1_3)\\n \\n plt.plot(X2_4,Y2_4,'#37acf0')\\n# plt.plot(X1_4,Y1_4)\\n \\n \\n \\n plt.plot([-20,60],[-bodyHeight,-bodyHeight],'brown')\\n plt.plot([-4,44],[0,0],'#010b24')\\n plt.plot([-4,-4],[0,5],'#010b24')\\n plt.plot([44,44],[0,5],'#010b24')\\n plt.plot([-4,44],[5,5],'#010b24')\\n \\n for ind in range(100):\\n plt.plot([-4,44],[ind*5/100,ind*5/100],'black')\\n \\n return None\",\n \"def runFrame(self):\\n self._drawFrame(self._advanceTime())\",\n \"def animate():\\n for c in itertools.cycle(['|', '/', '-', '\\\\\\\\']):\\n if done:\\n break\\n sys.stdout.write('\\\\rLoading ' + c)\\n sys.stdout.flush()\\n time.sleep(0.1)\\n #prefer sys.stdout instead of print for continuously updating\\n #the Loading animation\",\n \"def setDisplay(self):\\n self.graph_display=[self.complexCompose(self.coefficients,(t+1)/self.display_number)[-1] for t in range(self.display_number)]\",\n \"def step(self, move):\",\n \"def main(self):\\n\\t\\t\\tfactor = 0.0\\n\\t\\t\\tif self.time.time() > (self.startTime + self.showTime + self.displayTime + self.hideTime):\\n\\t\\t\\t\\tself.end()\\n\\t\\t\\telif self.time.time() > (self.startTime + self.showTime + self.displayTime):\\n\\t\\t\\t\\t#Hide animation will occur here.\\n\\t\\t\\t\\tfactor = (self.hideTime - (self.time.time() - (self.startTime + self.showTime + self.displayTime))) / self.hideTime\\n\\t\\t\\t\\tself.frame.colors = [(0.2, 0.2, 0.2, (0.8 * factor)) for i in range(4)]\\n\\t\\t\\t\\tself.frame._update_position(self.frame._base_size, [0.7, (1.0 - (0.2 * factor))])\\n\\t\\t\\t\\tself.display._update_position(self.display._base_size, self.display._base_pos)\\n\\t\\t\\t\\tself.display.text = self.text\\n\\t\\t\\t\\n\\t\\t\\telif self.time.time() > (self.startTime + self.showTime):\\n\\t\\t\\t\\tif self.frame._base_pos != [0.7, 0.8]:\\n\\t\\t\\t\\t\\tself.frame._update_position(self.frame._base_size, [0.7, 0.8])\\n\\t\\t\\t\\t\\tself.display._update_position(self.display._base_size, self.display._base_pos)\\n\\t\\t\\t\\t\\tself.display.text = self.text\\n\\t\\t\\t\\n\\t\\t\\telse:\\n\\t\\t\\t\\t#play show animation.\\n\\t\\t\\t\\tfactor = (self.time.time() - self.startTime) / self.showTime\\n\\t\\t\\t\\tself.frame.colors = [(0.2, 0.2, 0.2, (0.8 * factor)) for i in range(4)]\\n\\t\\t\\t\\tself.frame._update_position(self.frame._base_size, [0.7, (1.0 - (0.2 * factor))])\\n\\t\\t\\t\\tself.display._update_position(self.display._base_size, self.display._base_pos)\\n\\t\\t\\t\\tself.display.text = self.text\",\n \"def start_animation(self) -> None:\\n increment_values = {0: 1, self.original_height: -1}\\n self.increment = increment_values.get(self.current_height, 0) # Compressed if\",\n \"def display(self, agent):\\n agent.prepare()\\n self.env.render()\\n while not self.ended():\\n self.perform(agent.act(self, verbose=True), render=True, delay=FAST)\\n self.update()\\n agent.update(self)\\n self.env.close()\",\n \"def animate_traj(traj, robot, pause=True, restore=True):\\n if restore: _saver = openravepy.RobotStateSaver(robot)\\n viewer = trajoptpy.GetViewer(robot.GetEnv())\\n for (i,dofs) in enumerate(traj):\\n print \\\"step %i/%i\\\"%(i+1,len(traj))\\n robot.SetActiveDOFValues(dofs)\\n if pause: viewer.Idle()\\n else: viewer.Step()\",\n \"def _update_anim(self):\\n if self._skip_frames > 1:\\n # Do not render while _skip_frames is > 1\\n self._skip_frames -= 1\\n else:\\n # Render frame\\n self._visualization.taskMgr.step()\\n # Calculate number of frames that need to be skipped\\n self._skip_frames = int(1 / self._fps / self._dt)\",\n \"def step(self):\\n for layer in self.layers:\\n layer.step()\",\n \"def graphics_loop(self, font):\\n self.screen.blit(self.background, (0, 0))\\n if not self.scroll:\\n self.all_sprites.draw(self.screen)\\n else:\\n self.draw_onscreen()\\n #display which step we're on\\n if pygame.font:\\n text = font.render(str(self.stepid), 1, (255, 255, 255))\\n textpos = text.get_rect(centerx = int(\\n (self.screen.get_width() * 0.5)))\\n self.screen.blit(text, textpos)\\n pygame.display.flip()\\n #cap at x fps\\n self.clock.tick(self.max_fps)\",\n \"def display(self):\\n count = 0\\n self.displays[0].start() # call only once to support shift chain\\n for d in self.displays:\\n d.output(self.data[count])\\n count += 1\\n self.displays[0].latch() # call only once to support shift chain\",\n \"def show_progress(self, game):\\n if self.verbose:\\n if self.params.eval_interval is not None and (self.episode % self.params.eval_interval == 0):\\n self.print_progress()\\n # evaluate one run\\n state = game.reset()\\n self.tracker.reset()\\n done = False\\n while not done:\\n q_values = self.sess.run(self.graph.target_q_values, feed_dict={self.graph.states: [state]})\\n action = np.argmax(q_values)\\n state, reward, done, _ = game.step(action)\\n self.tracker.step(reward)\\n print('****** ', self.tracker.total_reward, self.tracker.discounted_rewards, ' ******')\",\n \"def animate_menu(grid_display, cycle_img, cycle_rect, start_x, end_x, step, wall_color):\\n\\n if cycle_rect.right >= end_x:\\n cycle_rect.left = start_x\\n else:\\n cycle_rect.move_ip(step, 0)\\n\\n pygame.draw.rect(grid_display, wall_color, (start_x, cycle_rect.top + 5, cycle_rect.left - start_x + 40,\\n cycle_rect.height - 10))\\n grid_display.blit(cycle_img, cycle_rect)\",\n \"def episode_step(self):\\n self.nsteps += 1\",\n \"def step(self, steps):\\n self._simulate(endStep=self.currentStep+steps)\",\n \"def anim(self):\\n\\n if self.anims.get(0):\\n if self.anims.get(0).done:\\n # Remove current animation when done.\\n self.anims.pop()\\n else:\\n # Progress current animation.\\n self.anims.get(0).step()\\n\\n elif self.solving and self.solved():\\n # Reset cube after `Cube.solve()`.\\n self.queue.items = []\\n self.solving = False\\n\\n elif self.queue.get(0):\\n if self.timing and not self.scrambling and not self.timer.ing:\\n # Start the timer after scrambling.\\n self.timer.start()\\n\\n # Add queued moves to the animation queues.\\n self.move(self.queue.pop())\\n\\n elif self.timer.ing and self.solved():\\n # Stop the timer.\\n self.timer.end()\\n self.timing = False\\n\\n if self.solved() and self.timer.times[-1] != 'DNF':\\n self.disp = True\\n\\n self.timer.update()\",\n \"def __show_rules(self):\\n self.clear_screen()\\n self.__print_logo()\\n self.__print_rules(left=20)\\n input()\",\n \"def animation1(strip, wait_ms=1, range_begin=0, range_end=-1, iteration_step=-1):\\n if range_end == 1:\\n range_end = strip.numPixels()\\n\\n j = iteration_step\\n\\n pixel_to_change = iteration_step % (range_end - range_begin) + range_begin\\n\\n if pixel_to_change - range_begin == 0:\\n for i in range(range_begin, range_end):\\n strip.setPixelColor(i, Color(0, 0, 255))\\n strip.show()\\n time.sleep(wait_ms/1000)\\n for i in range(range_begin, range_end):\\n strip.setPixelColor(i, Color(255, 0, 0))\\n strip.show()\\n #time.sleep(wait_ms/1000.0)\",\n \"def playAGame(t_Param, t_Qtable, t_Movements, t_States, t_Rewards, t_Maze, t_line=None, t_point=None):\\n # start from the position next to the entrance of maze.\\n pos = np.array([1,1], np.int16)\\n \\n # a list to memorize history step with maximum memory length of 2\\n path = [0,0]\\n \\n # update plot\\n if t_line is not None and t_point is not None:\\n xdata = [pos[1],]; ydata = [pos[0],]\\n t_line.set_xdata(xdata); t_line.set_ydata(ydata)\\n t_point.set_xdata([pos[1],]); t_point.set_ydata(pos[0,])\\n #t_line.figure.canvas.draw()\\n plt.pause(0.01)\\n\\n for k in range(t_Param[\\\"nStep_Max\\\"]):\\n # calculate current state index\\n state_idx = t_Param[\\\"ncol\\\"] * pos[0] + pos[1]\\n\\n # modify history\\n path.append( state_idx ); path.remove( path[0] )\\n\\n # update current position , and then return choice\\n choice = move(t_Qtable[state_idx, :], pos, t_Movements)\\n\\n # update plot\\n if t_line is not None and t_point is not None:\\n xdata.append(pos[1]); ydata.append(pos[0])\\n t_line.set_xdata(xdata); t_line.set_ydata(ydata)\\n t_point.set_xdata([pos[1],]); t_point.set_ydata(pos[0,])\\n #t_line.figure.canvas.draw()\\n plt.pause(0.01)\\n\\n # calculate new state index\\n state_idx_new = t_Param[\\\"ncol\\\"] * pos[0] + pos[1]\\n #print(f\\\"[{pos[0]:>2d}, {pos[1]:2d}]\\\", end=\\\" \\\")\\n # get environment; based on the new position, get reward\\n env = t_Maze[pos[0], pos[1]]\\n \\n # if is turning back, punish\\n if state_idx_new in path:\\n R = -2\\n # get reward from the Maze pixel value of the new state\\n else:\\n R = t_Rewards[ env ]\\n\\n # update Qtable\\n try:\\n t_Qtable[state_idx,choice] = (1-Param[\\\"alpha\\\"]) * t_Qtable[state_idx,choice] + \\\\\\n Param[\\\"alpha\\\"] * (R + Param[\\\"gamma\\\"] * t_Qtable[state_idx_new, :].max())\\n except IndexError:\\n print(pos[0],pos[1])\\n break\\n\\n # whether game over\\n if env != 3:\\n break\\n\\n step = k+1\\n \\n # if reach maximum nStep, set env to 4\\n if step == t_Param[\\\"nStep_Max\\\"]:\\n env = 4\\n\\n return env, step, tuple(pos)\",\n \"def showState(self):\\n for i in self.state[0]:\\n for j in self.state[1]:\\n print(self.table[i][j], end=\\\"\\\")\\n print(\\\"\\\")\",\n \"def animation(self, t):\\n self.program['u_clock'] = 2*t\\n gloo.clear('black')\\n self.program.draw('points')\\n return _screenshot((0, 0, self.size[0], self.size[1]))[:,:,:3]\",\n \"def update_animations():\\n\\tt = _pg.time.get_ticks()\\n\\tfor a in _running:\\n\\t\\ta._update(t)\",\n \"def run(self):\\n self.axs[0][0].clear()\\n simulate(params=self.params,plt=plt,callback=self.callback,home=self.home,work=self.work, positions=self.initial_positions, stopping_t=150)\",\n \"def display_gameclock(interpolation):\\n ## GOTCHA: See the comment in update_gameclock().\\n sprite_group.clear(screen, eraser_image)\\n for ball in sprite_group:\\n ball.predict(interpolation, USE_PREDICTION)\\n sprite_group.draw(screen)\\n pygame.display.update()\",\n \"def generate_mode_animation_html(self, i = 0 , is_3d = False ):\\n \\n from pyro.dynamic.statespace import linearize\\n \\n # \\n ss = linearize( self )\\n \\n # Compute eigen decomposition\\n ss.compute_eigen_modes()\\n \\n # Simulate one mode\\n traj = ss.compute_eigen_mode_traj( i )\\n \\n # Animate mode\\n animator = ss.get_animator()\\n \\n #label\\n template = 'Mode %i \\\\n%0.1f+%0.1fj'\\n label = template % (i, ss.poles[i].real, ss.poles[i].imag)\\n animator.top_right_label = label\\n \\n animator.animate_simulation( traj, 3.0, is_3d , show = False)\\n \\n html_video = animator.ani.to_html5_video()\\n \\n return html_video\",\n \"def display(self, grid):\\n for i in range(grid.height):\\n print(\\\"-\\\" + \\\"-------\\\"*grid.width)\\n for j in range(grid.width):\\n if not j:\\n print(\\\"|\\\", end=\\\"\\\") # begin row with vertical line\\n a = self.actions.get((i, j), ' ')\\n print(\\\" %s |\\\" % a, end=\\\"\\\")\\n print(\\\"\\\") # new line\\n print(\\\"-\\\" + \\\"-------\\\"*grid.width, end='\\\\n\\\\n')\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.62367564","0.6091286","0.6087436","0.6078769","0.6029971","0.60093224","0.59166366","0.59036875","0.581892","0.5817786","0.5748448","0.5748111","0.5671084","0.5665676","0.5663996","0.5663854","0.563546","0.5605197","0.5595019","0.55923826","0.55907106","0.5575306","0.55707794","0.5565015","0.5540911","0.5534121","0.55087346","0.5486996","0.5480954","0.54609513","0.5437686","0.54240763","0.5422127","0.54112405","0.54055935","0.5397019","0.53827214","0.5376678","0.5350047","0.53484774","0.53459394","0.53402925","0.5338425","0.53287363","0.5317491","0.5315551","0.5295117","0.5286447","0.52809143","0.5280367","0.5279281","0.5274721","0.52737397","0.5269014","0.52668554","0.5253897","0.5250586","0.5249614","0.52468854","0.5236627","0.52316374","0.5228073","0.5226304","0.5222503","0.5218401","0.521601","0.51964366","0.51927","0.51828676","0.5174714","0.5171577","0.51654637","0.51639533","0.51557046","0.5151694","0.51312","0.5123682","0.5115981","0.5113845","0.5103895","0.5103582","0.5102609","0.51002675","0.5098604","0.5097225","0.5093791","0.50933754","0.5090332","0.5074673","0.5070899","0.5059244","0.5056044","0.505498","0.5054292","0.5054214","0.5041971","0.50401604","0.5039452","0.5038921","0.5038521"],"string":"[\n \"0.62367564\",\n \"0.6091286\",\n \"0.6087436\",\n \"0.6078769\",\n \"0.6029971\",\n \"0.60093224\",\n \"0.59166366\",\n \"0.59036875\",\n \"0.581892\",\n \"0.5817786\",\n \"0.5748448\",\n \"0.5748111\",\n \"0.5671084\",\n \"0.5665676\",\n \"0.5663996\",\n \"0.5663854\",\n \"0.563546\",\n \"0.5605197\",\n \"0.5595019\",\n \"0.55923826\",\n \"0.55907106\",\n \"0.5575306\",\n \"0.55707794\",\n \"0.5565015\",\n \"0.5540911\",\n \"0.5534121\",\n \"0.55087346\",\n \"0.5486996\",\n \"0.5480954\",\n \"0.54609513\",\n \"0.5437686\",\n \"0.54240763\",\n \"0.5422127\",\n \"0.54112405\",\n \"0.54055935\",\n \"0.5397019\",\n \"0.53827214\",\n \"0.5376678\",\n \"0.5350047\",\n \"0.53484774\",\n \"0.53459394\",\n \"0.53402925\",\n \"0.5338425\",\n \"0.53287363\",\n \"0.5317491\",\n \"0.5315551\",\n \"0.5295117\",\n \"0.5286447\",\n \"0.52809143\",\n \"0.5280367\",\n \"0.5279281\",\n \"0.5274721\",\n \"0.52737397\",\n \"0.5269014\",\n \"0.52668554\",\n \"0.5253897\",\n \"0.5250586\",\n \"0.5249614\",\n \"0.52468854\",\n \"0.5236627\",\n \"0.52316374\",\n \"0.5228073\",\n \"0.5226304\",\n \"0.5222503\",\n \"0.5218401\",\n \"0.521601\",\n \"0.51964366\",\n \"0.51927\",\n \"0.51828676\",\n \"0.5174714\",\n \"0.5171577\",\n \"0.51654637\",\n \"0.51639533\",\n \"0.51557046\",\n \"0.5151694\",\n \"0.51312\",\n \"0.5123682\",\n \"0.5115981\",\n \"0.5113845\",\n \"0.5103895\",\n \"0.5103582\",\n \"0.5102609\",\n \"0.51002675\",\n \"0.5098604\",\n \"0.5097225\",\n \"0.5093791\",\n \"0.50933754\",\n \"0.5090332\",\n \"0.5074673\",\n \"0.5070899\",\n \"0.5059244\",\n \"0.5056044\",\n \"0.505498\",\n \"0.5054292\",\n \"0.5054214\",\n \"0.5041971\",\n \"0.50401604\",\n \"0.5039452\",\n \"0.5038921\",\n \"0.5038521\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.603831"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":1498,"cells":{"query":{"kind":"string","value":"For Jupyter Notebook Display Only?"},"document":{"kind":"string","value":"def grid_animation_quick(self, frames, iterations=10, fps=0.02, figsize=(6, 6)):\r\n color_map = matplotlib.colors.ListedColormap(['white', 'black'])\r\n\r\n fig, ax = plt.subplots(figsize=figsize)\r\n\r\n for r in np.arange(0, iterations):\r\n ax.cla()\r\n ax.axes.grid(False)\r\n ax.set_axis_off()\r\n im = ax.imshow(frames[0], cmap=color_map, animated=True)\r\n for image, step in zip(frames[1:], np.arange(1, len(frames[1:])+1)):\r\n time.sleep(fps)\r\n ax.title.set_text('Rule 942 | Step ' + str(step) + ' | Active ' + str(int(np.sum(image))))\r\n im.set_data(image)\r\n fig.canvas.draw()"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def jupyter():","def notebook():\n pass","def notebook():\n pass","def _ipython_display_(self):\n with self._sc:\n self._box._ipython_display_()","def in_notebook():\n from IPython import get_ipython\n return get_ipython() is not None","def output_notebook(self):\n self._notebook = True","def _ipython_display_(self):\n spec, render_type = self._get_spec_info()\n\n id = uuid.uuid4()\n publish_display_data(\n {'text/html': self._generate_html(id)},\n metadata={'jupyter-vega3': '#{0}'.format(id)}\n )\n publish_display_data(\n {'application/javascript':\n self._generate_js(id, spec, render_type)},\n metadata={'jupyter-vega3': '#{0}'.format(id)}\n )","def is_notebook():\n return \"ipykernel\" in sys.modules","def in_notebook() -> bool:\r\n try:\r\n if (\r\n str(type(get_ipython()))\r\n == \"<class 'ipykernel.zmqshell.ZMQInteractiveShell'>\"\r\n ):\r\n return True\r\n else:\r\n return False\r\n except NameError:\r\n return False","def is_notebook():\n try:\n shell = get_ipython().__class__.__name__\n if shell == 'ZMQInteractiveShell':\n return True\n elif shell == 'TerminalInteractiveShell':\n return False\n else:\n return False\n except NameError:\n return False","def is_notebook():\n if \"get_ipython\" not in globals():\n # Python shell\n return False\n env_name = get_ipython().__class__.__name__\n if env_name == \"TerminalInteractiveShell\":\n # IPython shell\n return False\n # Jupyter Notebook\n return True","def show(self) -> None:\n\n # if not call from notebook environment, ref to show_browser function.\n if not is_notebook():\n print(\n \"The report will not show in a notebook environment, \"\n \"please try 'show_browser' if you want to open it in browser\",\n file=sys.stderr,\n )\n try:\n from IPython.display import ( # pylint: disable=import-outside-toplevel\n HTML,\n display,\n )\n\n display(HTML(self._repr_html_()))\n except ImportError:\n pass","def show(self) -> None:\n # if not called from notebook environment, ref to show_browser function.\n if not is_notebook():\n print(\n \"The plot will not show in a notebook environment, \"\n \"please try 'show_browser' if you want to open it in browser\",\n file=sys.stderr,\n )\n try:\n from IPython.display import ( # pylint: disable=import-outside-toplevel\n HTML,\n display,\n )\n\n display(HTML(self._repr_html_()))\n except ImportError:\n pass","def test_ipython_repr_no_nglview(self):\n molecule = Molecule().from_smiles(\"CCO\")\n molecule._ipython_display_()","def export_notebook():\n #system(\"jupyter nbconvert --to HTML \\\"Look At Enron data set.ipynb\\\"\")\n system(\"jupyter nbconvert --to HTML --output=Look+At+Enron+data+set.html \\\"Look At Enron data set.ipynb\\\"\")\n return","def shell(state):\n IPython.embed(colors=\"Neutral\", banner1=BANNER, user_ns={\"sdk\": state.sdk})","def _in_notebook(): # pragma: no cover\n try:\n shell = get_ipython().__class__.__name__\n if shell == \"ZMQInteractiveShell\":\n return True\n\n return False\n except NameError:\n return False","def _isnotebook():\n try:\n shell = get_ipython().__class__.__name__\n if shell == 'ZMQInteractiveShell':\n return True # Jupyter notebook or qtconsole\n elif shell == 'TerminalInteractiveShell':\n return False # Terminal running IPython\n else:\n return False # Other type (?)\n except NameError:\n return False # Probably standard Python interpreter","def default_display_function(feature):\n # n_samples = min(n_samples, feature.shape[0])\n IPython.display.display(widgets.Box(layout=widgets.Layout(height=\"2.5%\")))\n IPython.display.display(feature)\n IPython.display.display(widgets.Box(layout=widgets.Layout(height=\"2.5%\")))","def _in_ipynb():\n __VALID_NOTEBOOKS = [\n \"<class 'google.colab._shell.Shell'>\",\n \"<class 'ipykernel.zmqshell.ZMQInteractiveShell'>\",\n ]\n try:\n return str(type(get_ipython())) in __VALID_NOTEBOOKS\n except NameError:\n return False","def show(self):\n import IPython\n if self._output is None:\n self.render()\n IPython.display.display(self._output, display_id=str(id(self)))","def _is_jupyter():\n try:\n ipy = get_ipython()\n except NameError:\n return False\n\n # If jupyter, ipy is zmq shell\n return ipy.__class__.__name__ == 'ZMQInteractiveShell'","def jupyter_inline(url):\n # note: `get_ipython` is available without import since ipython 5.1\n # (and it's fine to fail here, since the next viewer is attempted in that case)\n ipython = get_ipython()\n logger.debug('Running inside ipython: %r', ipython)\n if 'ZMQInteractiveShell' not in type(ipython).__name__:\n raise ValueError('non-gui interactive shell')\n\n # render URL/IFrame inline in jupyter notebook, or fail trying\n # note: since ipython 5.4/6.1 (May 2017) `display` is available without import\n rich_url = RichDisplayURL(url)\n display(rich_url)\n\n # don't block if gui interactive shell is used\n return False","def show(self, notebook=notebook_display):\n print(\"\\nCluster Ensemble:\")\n if notebook is True:\n display(self._df)\n elif notebook is False:\n print(self._df)\n self.massrich_parameters()","def _is_running_in_notebook():\n\n # apparently get_ipython is lost when this gets called from a callback of\n # an ipython widget. See https://github.com/jupyter/jupyter/issues/299\n try:\n from IPython import get_ipython\n except ImportError:\n return False\n\n try:\n shell = get_ipython().__class__.__name__\n # ZMQInteractiveShell is the standard Jupyter Kernel\n # Interpreter is used by pyiodide\n if shell in [\"ZMQInteractiveShell\", \"Interpreter\"]:\n return True\n elif shell == \"TerminalInteractiveShell\":\n return False\n else:\n return False\n except NameError:\n return False","def renderMyNotebook():\n return render_template(\n \"myNotebook.html\",\n suspect_dict=session[\"game\"].detective_notebook[\"suspects\"],\n weapon_dict=session[\"game\"].detective_notebook[\"weapons\"],\n room_dict=session[\"game\"].detective_notebook[\"rooms\"],\n log=session[\"game\"].log\n )","def interactive():\n IPython.start_ipython(argv=[])","def show(self):\n import IPython.display\n disp = IPython.display.HTML(self.render())\n return IPython.display.display(disp, display_id=str(id(self)))","def describe_notebook_instance(NotebookInstanceName=None):\n pass","def test_ipython_display(self, r, rep, capsys):\n r._ipython_display_() # pylint: disable=protected-access\n captured = capsys.readouterr()\n assert rep in captured.out","def should_show():","def _init_display(self):\n raise NotImplementedError","def show(self):\n #show the viewlet if we are not using Firefox\n user_agent = self.request.get('HTTP_USER_AGENT', '')\n display = not ('Firefox' in user_agent or 'Chrome' in user_agent)\n return display","def show(self):\n\t\traise NotImplementedError()","def show(self):\n raise NotImplementedError","def show(self):\n raise NotImplementedError","def main():\n app = guisupport.get_app_qt4()\n\n if INPROCESS:\n from qtconsole.inprocess import QtInProcessKernelManager\n km = QtInProcessKernelManager()\n else:\n from qtconsole.manager import QtKernelManager\n km = QtKernelManager()\n km.start_kernel()\n km.kernel.gui = 'qt4'\n kc = km.client()\n kc.start_channels()\n\n widget = RichJupyterWidget()\n widget.kernel_manager = km\n widget.kernel_client = kc\n if CLEANSHUTDOWN: # slow exit on CTRL+D\n def stop():\n kc.stop_channels()\n km.shutdown_kernel()\n app.exit()\n widget.exit_requested.connect(stop)\n else: # fast exit on CTRL+D\n widget.exit_requested.connect(app.quit)\n widget.show()\n guisupport.start_event_loop_qt4(app)","def display_only(self):\n return self.__class__(None, self.display)","def init_notebook_plotting(offline: bool = False) -> None:\n display_bundle = {\"text/html\": _wrap_js(_js_requires(offline=offline))}\n display(display_bundle, raw=True)\n logger.info(\"Injecting Plotly library into cell. Do not overwrite or delete cell.\")\n init_notebook_mode()","def debug():\n # \"EMBEDDED_MODE\" is True precisely when the Sage notebook is running.\n from sage.plot.plot import EMBEDDED_MODE\n if not EMBEDDED_MODE:\n # Must be the command line, so suggest using the IPython debugger.\n print(\"You should use %debug on the command line.\")\n else:\n # Create the Debug object and make it interactive.\n Debug().interact()","def show(self) -> None:","def init_notebook():\n \n # Note: not using IPython Comm objects yet, since they seem rather\n # undocumented and I could not get them to work when I tried for a bit.\n # This means though, that flexx in the notebook only works on localhost.\n \n from IPython.display import display, clear_output, HTML\n # from .. import ui # noqa - make ui assets available\n \n # Make default log level warning instead of \"info\" to avoid spamming\n # This preserves the log level set by the user\n config.load_from_string('log_level = warning', 'init_notebook')\n set_log_level(config.log_level)\n \n # Get session or create new\n session = manager.get_default_session()\n if session is None:\n session = manager.create_default_session()\n \n # Open server - the notebook helper takes care of the JS resulting\n # from running a cell, but any interaction goes over the websocket.\n server = current_server()\n host, port = server.serving\n \n # Trigger loading phosphor assets\n if 'flexx.ui' in sys.modules:\n from flexx import ui\n session.register_model_class(ui.Widget)\n \n # Get assets, load all known modules to prevent dynamic loading as much as possible\n js_assets, css_assets = session.get_assets_in_order(css_reset=False, load_all=True)\n \n # Pop the first JS asset that sets flexx.app_name and flexx.session_id\n # We set these in a way that it does not end up in exported notebook.\n js_assets.pop(0)\n url = 'ws://%s:%i/flexx/ws/%s' % (host, port, session.app_name)\n flexx_pre_init = \"\"\"<script>window.flexx = window.flexx || {};\n window.flexx.app_name = \"%s\";\n window.flexx.session_id = \"%s\";\n window.flexx.ws_url = \"%s\";\n window.flexx.is_live_notebook = true;\n </script>\"\"\" % (session.app_name, session.id, url)\n \n # Check if already loaded, if so, re-connect\n if not getattr(session, 'init_notebook_done', False):\n session.init_notebook_done = True # also used in assetstore\n else:\n display(HTML(flexx_pre_init))\n clear_output()\n display(HTML(\"\"\"<script>\n flexx.is_exported = !flexx.is_live_notebook;\n flexx.init();\n </script>\n <i>Flexx already loaded. Reconnected.</i>\n \"\"\"))\n return # Don't inject Flexx twice\n # Note that exporting will not work anymore since out assets\n # are no longer in the outputs\n \n # Install helper to make things work in exported notebooks\n NoteBookHelper(session)\n \n # Compose HTML to inject\n t = \"<i>Injecting Flexx JS and CSS</i>\"\n t += '\\n\\n'.join([asset.to_html('{}', 0) for asset in css_assets + js_assets])\n t += \"\"\"<script>\n flexx.is_notebook = true;\n flexx.is_exported = !flexx.is_live_notebook;\n /* If Phosphor is already loaded, disable our Phosphor CSS. */\n if (window.jupyter && window.jupyter.lab) {\n document.getElementById('phosphor-all.css').disabled = true;\n }\n flexx.init();\n </script>\"\"\"\n \n display(HTML(flexx_pre_init)) # Create initial Flexx info dict\n clear_output() # Make sure the info dict is gone in exported notebooks\n display(HTML(t))\n \n # Note: the Widget._repr_html_() method is responsible for making\n # the widget show up in the notebook output area.","def jupyter_notebook(ip, all_kernels, env, idle_timeout, args):\n if \"-h\" not in args and \"--help\" not in args:\n ipython_message(all_kernels)\n\n arguments = _build_jupyter_command(\n \"notebook\", ip=ip, all_kernels=all_kernels, args=args, idle_timeout=idle_timeout\n )\n\n python_call_kwargs = _build_jupyter_env(env)\n python_call(\"jupyter\", arguments, **python_call_kwargs)","def test_JupyterNotebooks1(self):\n\n self.delayDisplay(\"Starting the test\")\n\n # TODO: implement test\n\n self.delayDisplay('Test passed!')","def _in_ipython(self):\n import graphlab.canvas.target\n return isinstance(graphlab.canvas.get_target(), graphlab.canvas.target.IPythonTarget)","def in_ipynb(debug=False):\n\n frame_info_list = get_frame_list()[1]\n filenames = [fi.filename for fi in frame_info_list]\n\n test_str = \"\\n\".join(filenames)\n # this should be made more reliable\n if \"ipykernel_launcher\" in test_str and \\\n \"ipykernel/kernelapp.py\" in test_str and \\\n \"zmqshell\" in test_str:\n res = True\n else:\n res = False\n\n if debug:\n dbgc = Container(fetch_locals=True)\n return dbgc\n else:\n return res","def display_stdout_and_err_in_curr_cell(self):\n ipy_display(self.output_widget)","def jupyter_is_interactive_run():\n return \"_JUPYTER_BAZEL_INTERACTIVE_RUNFILES_DIR\" in os.environ","def display_html_snapshots_widget():\n if not get_ipython():\n print('The HTML snapshot widget cannot be display in environments other than IPython.')\n return\n\n # Configure notebook display preferences to better suit this UI. These display settings\n # will be in effect for all cells in the notebook run after this one is run.\n pd.set_option('display.max_colwidth', None)\n pd.set_option('display.max_rows', None)\n get_ipython().run_cell_magic(\n 'javascript',\n '',\n '''// Display cell outputs to full height (no vertical scroll bar)\n IPython.OutputArea.auto_scroll_threshold = 9999;''')\n\n # Retrieve the workspace metadata for the current user and environment.\n ws_meta = WorkspaceMetadata()\n workspace_names2id = collections.OrderedDict(sorted(\n ws_meta.get_workspace_name_to_id_mapping().items()))\n workspace_names2id_include_readonly = collections.OrderedDict(sorted(\n ws_meta.get_workspace_name_to_id_mapping(include_private_readonly=True).items()))\n workspace_ids2bucket_include_readonly = ws_meta.get_workspace_id_to_bucket_mapping(include_private_readonly=True)\n workspace_paths = {k: WorkspacePaths(workspace_bucket=v)\n for k, v in workspace_ids2bucket_include_readonly.items()}\n\n ui_output = widgets.Output()\n\n ui_tabs = widgets.Tab()\n ui_tabs.children = [create_html_snapshot_widget(ws_names2id=workspace_names2id,\n ws_paths=workspace_paths,\n output=ui_output),\n create_view_files_widget(ws_names2id=workspace_names2id_include_readonly,\n ws_paths=workspace_paths,\n output=ui_output),\n create_view_all_comments_widget(ws_names2id=workspace_names2id_include_readonly,\n ws_paths=workspace_paths,\n output=ui_output)]\n ui_tabs.set_title(title='Create', index=0)\n ui_tabs.set_title(title='View one', index=1)\n ui_tabs.set_title(title='View all', index=2)\n\n display(ui_tabs, ui_output)","def showPlot2():\n raise NotImplementedError","def show_figure(self):\n pylab.show()","def run_from_ipython():\n try:\n __IPYTHON__\n return True\n except NameError:\n return False","def driver_open_display(self):\n raise Exception(\"missing implementation \")","def show(self):\n pass","def __window_print(self):\n pass","def disp(df):\n display(HTML(df.to_html(index=False)))","def showPlot1(): \n raise NotImplementedError","def subnotebook_show(self):\n if not self.subnotebook:\n logger.debug(\"Showing subnotebook\")\n self.subnotebook = self.add_subnotebook()","def summary(self):\n if _have_ipython:\n IPython.display.display(IPython.display.HTML(self._repr_html_()))\n else:\n print(self)","def notebook_display(self):\n time = self.out_channels['0'].samples / self.out_channels['0'].samprate\n\n vmax = 0.\n for c in range(len(self.out_channels)):\n vmax = max(\n abs(self.out_channels[str(c)].values.max()),\n abs(self.out_channels[str(c)].values.min()),\n vmax\n ) * 1.05\n \n for i in range(len(self.out_channels)):\n plt.plot(time[::20], self.out_channels[str(i)].values[::20]+2*i*vmax, label=self.channels.labels[i])\n\n plt.xlabel('Time (s)')\n plt.ylabel('Relative Amplitude')\n plt.legend(frameon=False, loc=5)\n plt.xlim(-time[-1]*0.05,time[-1]*1.2)\n for s in plt.gca().spines.values():\n s.set_visible(False)\n plt.gca().get_yaxis().set_visible(False)\n\n if len(self.channels.labels) == 1:\n # we have used 48000 Hz everywhere above as standard, but to quickly hear the sonification sped up / slowed down,\n # you can modify the 'rate' argument below (e.g. multiply by 0.5 for half speed, by 2 for double speed, etc)\n outfmt = np.column_stack([self.out_channels['0'].values, self.out_channels['0'].values]).T\n else:\n outfmt = np.column_stack([self.out_channels['0'].values, self.out_channels['1'].values]).T\n plt.show()\n display(ipd.Audio(outfmt,rate=self.out_channels['0'].samprate, autoplay=False))","def _run_from_ipython():\n try:\n __IPYTHON__\n return True\n except NameError:\n return False","def get_virtual_display(self):\n pass","def displayNative(self):\n\n\t\tcmd.hide(\"lines\", \"native\")\n\t\tcmd.color(\"gray\", \"native & name CA\")\n\t\t#cmd.zoom(\"nearby\")","def running_in_ipython() -> bool:\n try:\n from IPython import get_ipython\n\n return get_ipython() is not None\n except ImportError:\n return False","def html_viewer(i):\n\n i['module_uoa']='experiment.tune.compiler.flags'\n i['module_cfg']=copy.deepcopy(cfg)\n i['module_work']=copy.deepcopy(work)\n return ck.access(i)","def show(self):","def show_df_ui(df,transpose=False,default=\"Hide\",message=\"Show dataframe: \"):\n def make_btn(val):\n btn_widget=widgets.Button(\n value=False,\n description=val,\n disabled=False,\n button_style='',\n layout=widgets.Layout(width=\"80px\"),\n )\n return btn_widget\n \n def show_head():\n if not transpose:\n display(df.head(10))\n else:\n display(df.head(10).transpose())\n def show_tail():\n if not transpose:\n display(df.tail(10))\n else:\n display(df.tail(10).transpose())\n def show_full():\n if not transpose:\n display(df)\n else:\n display(df.transpose())\n def show_random():\n if not transpose:\n display(Frames.smart_sample(df,10))\n else:\n display(Frames.smart_sample(df,10).transpose())\n def hide_output():\n pass\n \n def refresh():\n Notebook.clear()\n Widgets.show_df_ui(df,transpose=transpose,message=message)\n \n def show_head_refresh(b):\n refresh()\n show_head()\n def show_tail_refresh(b):\n refresh()\n show_tail()\n def show_full_refresh(b):\n refresh()\n show_full()\n def show_random_refresh(b):\n refresh()\n show_random()\n def hide_output_refresh(b):\n refresh()\n \n behaviors={\n \"Hide\": hide_output,\n \"Head\": show_head,\n \"Tail\": show_tail,\n \"Random\": show_random,\n \"Full\": show_full\n }\n \n btn_head=make_btn(\"Head\")\n btn_random=make_btn(\"Random\")\n btn_tail=make_btn(\"Tail\")\n btn_full=make_btn(\"Full\")\n btn_hide=make_btn(\"Hide\")\n \n btn_head.on_click(show_head_refresh)\n btn_tail.on_click(show_tail_refresh)\n btn_full.on_click(show_full_refresh)\n btn_random.on_click(show_random_refresh)\n btn_hide.on_click(hide_output_refresh)\n \n ui_group=widgets.HBox([\n widgets.Label(value=message),\n btn_head,\n btn_random,\n btn_tail,\n btn_full,\n btn_hide,\n ])\n display(ui_group)\n if default in behaviors:\n behaviors[default]()","def execute_notebook(nb, resources):\n\n if is_ipython_3():\n from IPython.nbconvert.preprocessors import ExecutePreprocessor\n nb, resources = ExecutePreprocessor().preprocess(nb, resources)\n elif runipy_available:\n from runipy.notebook_runner import NotebookRunner\n r = NotebookRunner(nb)\n r.run_notebook(skip_exceptions=True)\n nb = r.nb\n else:\n raise ImportError(\"Can't execute notebooks. Please install IPython >= 3 or runipy.\")\n\n return nb","def _save_nb():\n try:\n import IPython\n except ImportError:\n raise ImportError(\"You need to install IPython to use _save_nb\")\n from IPython.display import HTML, Javascript, display\n\n if is_lab():\n script = \"\"\"\n this.nextElementSibling.focus();\n this.dispatchEvent(new KeyboardEvent('keydown', {key:'s', keyCode: 83, metaKey: true}));\n \"\"\"\n display(HTML(('<img src onerror=\"{}\" style=\"display:none\">' '<input style=\"width:0;height:0;border:0\">').format(script)))\n else:\n display(Javascript(\"IPython.notebook.save_checkpoint();\"))","def showPlot3():\n raise NotImplementedError","def plot_notebook(cp_profile, *args, **kwargs):\n plot(cp_profile, *args, destination=\"notebook\", **kwargs)","def export_html(self):\n self._svg_warning_displayed = False\n super(RichJupyterWidget, self).export_html()","def imdisplay(filename, representation):\n img = read_image(filename, representation)\n if representation == GS_REP:\n plt.imshow(img, cmap=plt.cm.gray)\n else:\n plt.imshow(img)","def run_shell(options):\n from IPython import embed\n embed()","def start_displayhook(self):\n pass","def matlab_console():\n from sage.repl.rich_output.display_manager import get_display_manager\n if not get_display_manager().is_in_terminal():\n raise RuntimeError('Can use the console only in the terminal. Try %%matlab magics instead.')\n os.system('matlab -nodisplay')","def render_notebook_script(scene, sig=None, **kwargs):\n js = generate_notebook_js(scene, sig=sig, **kwargs)\n display(js)","def display_df(df):\n with pd.option_context(\"display.max_rows\", 1000, \"display.max_columns\", 100):\n display(df.head(10))","def _read_rendered_notebook(nb_str):\n # add debug cells\n nb = nbformat.reads(nb_str, as_version=nbformat.NO_CONVERT)\n nbformat_v = nbformat.versions[nb.nbformat]\n\n source = \"\"\"\n# Debugging settings (this cell will be removed before saving)\n# change the current working directory to directory of the session that\n# invoked the jupyter app to make relative paths work\nimport os\n{}\n\"\"\".format(chdir_code(Path('.').resolve()))\n\n cell = nbformat_v.new_code_cell(source,\n metadata={'tags': ['debugging-settings']})\n nb.cells.insert(0, cell)\n\n return nb","def jntToDisplay():\n DISPLAY=\"DISPLAY\"\n # check obj exist\n if pm.objExists(DISPLAY) != 1:\n pm.error(\"no object call DISPLAY\")\n jnt=pm.ls(\"*_ikJnt*\",\"*_fkJnt*\",\"*_ctrlJnt*\",type ='joint')\n for obj in jnt:\n\n pm.delete(obj + \".overrideDisplayType\",icn=1)\n pm.setAttr(obj + \".overrideEnabled\",1)\n pm.setAttr(obj + \".overrideDisplayType\",0)\n pm.connectAttr(DISPLAY + \".ctrlJntDisplay\",obj + \".overrideDisplayType\",f=1)\n pm.setAttr(DISPLAY + \".ctrlJntDisplay\",0) # set to normal\n\n jnt=pm.ls(\"*_skinJnt*\",\"*:*_skinJnt*\",type ='joint')\n for obj in jnt:\n pm.delete(obj + \".overrideDisplayType\",icn=1)\n pm.setAttr(obj + \".overrideEnabled\",1)\n pm.setAttr(obj + \".overrideDisplayType\",0)\n pm.connectAttr(DISPLAY + \".skeletonDisplay\",obj + \".overrideDisplayType\",f=1)\n pm.setAttr(DISPLAY + \".skeletonDisplay\",0) # set to normal\n\n\n pm.setAttr(DISPLAY + \".geoDisplay\",0) # set to normal\n pm.setAttr((\"GEO.overrideEnabled\"),1)\n pm.setAttr((\"GEO.overrideDisplayType\"),0)\n pm.delete((\"GEO.overrideDisplayType\"),icn=1)\n pm.connectAttr((DISPLAY + \".geoDisplay\"),(\"GEO.overrideDisplayType\"),f=1)","def ipython(self):\n try:\n __IPYTHON__\n return True\n except NameError:\n return False","def dataframe_displayer(df):\n\n #On paramètre les options d'affichage du module pandas\n pd.set_option('display.max_rows', None)\n pd.set_option('display.max_columns', None)\n pd.set_option('display.width', None)\n pd.set_option('display.max_colwidth', -1)\n\n print(df)","def __repr__(self):\n return self.display()","def show_output(self, conn, rcode):\n\n if rcode:\n title, results = self.connector.get_results(0)\n scrolled = Gtk.ScrolledWindow()\n scrolled.add(results)\n tab_label = self.get_tab_label(title, scrolled)\n self.notebook.append_page(scrolled, tab_label)\n\n if not self.notebook.get_parent():\n child = self.output_window.get_children()[0]\n self.output_window.remove(child)\n self.output_window.add(self.notebook)\n self.notebook.show_all()\n del child\n\n tab_label.show_all()\n scrolled.show_all()\n else:\n self.connector.get_results(0)","def in_console(self, mpl_backend: str) -> bool:\n return mpl_backend not in [\n \"module://ipykernel.pylab.backend_inline\",\n \"NbAgg\",\n ]","def display_synth_editor(self, sid):\n pass","def show():\n plt.show()","def show():\n plt.show()","def show():\n plt.show()","def show_inline_matplotlib_plots():\n if 'matplotlib' not in sys.modules:\n # matplotlib hasn't been imported, nothing to do.\n return\n\n try:\n import matplotlib as mpl\n from ipykernel.pylab.backend_inline import flush_figures\n except ImportError:\n return\n\n if (mpl.get_backend() == 'module://ipykernel.pylab.backend_inline' or\n mpl.get_backend() == 'module://matplotlib_inline.backend_inline'):\n flush_figures()","def show():\n setup()\n plt.show()","def display(self, buffer = None):\n raise NotImplementedError","def load_jupyter_server_extension(nbapp):\n resuseconfig = ResourceUseDisplay(parent=nbapp)\n nbapp.web_app.settings['nbresuse_display_config'] = resuseconfig\n route_pattern = url_path_join(nbapp.web_app.settings['base_url'], '/metrics')\n nbapp.web_app.add_handlers('.*', [(route_pattern, MetricsHandler)])","def command_show(problem):\r\n print problem.get_html()","def show_plots():\n plt.show()","def show():\n\tplt.show()","def getImmediateRendering():\n\n\treturn False","def ion():\n plt.ion()","def is_ipython():\n return 'get_ipython' in globals()","def _repr_html_(self) -> str:\n return self.all(pandas=True)._repr_html_() # type: ignore","def showZoomToolbar():\n\treturn False"],"string":"[\n \"def jupyter():\",\n \"def notebook():\\n pass\",\n \"def notebook():\\n pass\",\n \"def _ipython_display_(self):\\n with self._sc:\\n self._box._ipython_display_()\",\n \"def in_notebook():\\n from IPython import get_ipython\\n return get_ipython() is not None\",\n \"def output_notebook(self):\\n self._notebook = True\",\n \"def _ipython_display_(self):\\n spec, render_type = self._get_spec_info()\\n\\n id = uuid.uuid4()\\n publish_display_data(\\n {'text/html': self._generate_html(id)},\\n metadata={'jupyter-vega3': '#{0}'.format(id)}\\n )\\n publish_display_data(\\n {'application/javascript':\\n self._generate_js(id, spec, render_type)},\\n metadata={'jupyter-vega3': '#{0}'.format(id)}\\n )\",\n \"def is_notebook():\\n return \\\"ipykernel\\\" in sys.modules\",\n \"def in_notebook() -> bool:\\r\\n try:\\r\\n if (\\r\\n str(type(get_ipython()))\\r\\n == \\\"<class 'ipykernel.zmqshell.ZMQInteractiveShell'>\\\"\\r\\n ):\\r\\n return True\\r\\n else:\\r\\n return False\\r\\n except NameError:\\r\\n return False\",\n \"def is_notebook():\\n try:\\n shell = get_ipython().__class__.__name__\\n if shell == 'ZMQInteractiveShell':\\n return True\\n elif shell == 'TerminalInteractiveShell':\\n return False\\n else:\\n return False\\n except NameError:\\n return False\",\n \"def is_notebook():\\n if \\\"get_ipython\\\" not in globals():\\n # Python shell\\n return False\\n env_name = get_ipython().__class__.__name__\\n if env_name == \\\"TerminalInteractiveShell\\\":\\n # IPython shell\\n return False\\n # Jupyter Notebook\\n return True\",\n \"def show(self) -> None:\\n\\n # if not call from notebook environment, ref to show_browser function.\\n if not is_notebook():\\n print(\\n \\\"The report will not show in a notebook environment, \\\"\\n \\\"please try 'show_browser' if you want to open it in browser\\\",\\n file=sys.stderr,\\n )\\n try:\\n from IPython.display import ( # pylint: disable=import-outside-toplevel\\n HTML,\\n display,\\n )\\n\\n display(HTML(self._repr_html_()))\\n except ImportError:\\n pass\",\n \"def show(self) -> None:\\n # if not called from notebook environment, ref to show_browser function.\\n if not is_notebook():\\n print(\\n \\\"The plot will not show in a notebook environment, \\\"\\n \\\"please try 'show_browser' if you want to open it in browser\\\",\\n file=sys.stderr,\\n )\\n try:\\n from IPython.display import ( # pylint: disable=import-outside-toplevel\\n HTML,\\n display,\\n )\\n\\n display(HTML(self._repr_html_()))\\n except ImportError:\\n pass\",\n \"def test_ipython_repr_no_nglview(self):\\n molecule = Molecule().from_smiles(\\\"CCO\\\")\\n molecule._ipython_display_()\",\n \"def export_notebook():\\n #system(\\\"jupyter nbconvert --to HTML \\\\\\\"Look At Enron data set.ipynb\\\\\\\"\\\")\\n system(\\\"jupyter nbconvert --to HTML --output=Look+At+Enron+data+set.html \\\\\\\"Look At Enron data set.ipynb\\\\\\\"\\\")\\n return\",\n \"def shell(state):\\n IPython.embed(colors=\\\"Neutral\\\", banner1=BANNER, user_ns={\\\"sdk\\\": state.sdk})\",\n \"def _in_notebook(): # pragma: no cover\\n try:\\n shell = get_ipython().__class__.__name__\\n if shell == \\\"ZMQInteractiveShell\\\":\\n return True\\n\\n return False\\n except NameError:\\n return False\",\n \"def _isnotebook():\\n try:\\n shell = get_ipython().__class__.__name__\\n if shell == 'ZMQInteractiveShell':\\n return True # Jupyter notebook or qtconsole\\n elif shell == 'TerminalInteractiveShell':\\n return False # Terminal running IPython\\n else:\\n return False # Other type (?)\\n except NameError:\\n return False # Probably standard Python interpreter\",\n \"def default_display_function(feature):\\n # n_samples = min(n_samples, feature.shape[0])\\n IPython.display.display(widgets.Box(layout=widgets.Layout(height=\\\"2.5%\\\")))\\n IPython.display.display(feature)\\n IPython.display.display(widgets.Box(layout=widgets.Layout(height=\\\"2.5%\\\")))\",\n \"def _in_ipynb():\\n __VALID_NOTEBOOKS = [\\n \\\"<class 'google.colab._shell.Shell'>\\\",\\n \\\"<class 'ipykernel.zmqshell.ZMQInteractiveShell'>\\\",\\n ]\\n try:\\n return str(type(get_ipython())) in __VALID_NOTEBOOKS\\n except NameError:\\n return False\",\n \"def show(self):\\n import IPython\\n if self._output is None:\\n self.render()\\n IPython.display.display(self._output, display_id=str(id(self)))\",\n \"def _is_jupyter():\\n try:\\n ipy = get_ipython()\\n except NameError:\\n return False\\n\\n # If jupyter, ipy is zmq shell\\n return ipy.__class__.__name__ == 'ZMQInteractiveShell'\",\n \"def jupyter_inline(url):\\n # note: `get_ipython` is available without import since ipython 5.1\\n # (and it's fine to fail here, since the next viewer is attempted in that case)\\n ipython = get_ipython()\\n logger.debug('Running inside ipython: %r', ipython)\\n if 'ZMQInteractiveShell' not in type(ipython).__name__:\\n raise ValueError('non-gui interactive shell')\\n\\n # render URL/IFrame inline in jupyter notebook, or fail trying\\n # note: since ipython 5.4/6.1 (May 2017) `display` is available without import\\n rich_url = RichDisplayURL(url)\\n display(rich_url)\\n\\n # don't block if gui interactive shell is used\\n return False\",\n \"def show(self, notebook=notebook_display):\\n print(\\\"\\\\nCluster Ensemble:\\\")\\n if notebook is True:\\n display(self._df)\\n elif notebook is False:\\n print(self._df)\\n self.massrich_parameters()\",\n \"def _is_running_in_notebook():\\n\\n # apparently get_ipython is lost when this gets called from a callback of\\n # an ipython widget. See https://github.com/jupyter/jupyter/issues/299\\n try:\\n from IPython import get_ipython\\n except ImportError:\\n return False\\n\\n try:\\n shell = get_ipython().__class__.__name__\\n # ZMQInteractiveShell is the standard Jupyter Kernel\\n # Interpreter is used by pyiodide\\n if shell in [\\\"ZMQInteractiveShell\\\", \\\"Interpreter\\\"]:\\n return True\\n elif shell == \\\"TerminalInteractiveShell\\\":\\n return False\\n else:\\n return False\\n except NameError:\\n return False\",\n \"def renderMyNotebook():\\n return render_template(\\n \\\"myNotebook.html\\\",\\n suspect_dict=session[\\\"game\\\"].detective_notebook[\\\"suspects\\\"],\\n weapon_dict=session[\\\"game\\\"].detective_notebook[\\\"weapons\\\"],\\n room_dict=session[\\\"game\\\"].detective_notebook[\\\"rooms\\\"],\\n log=session[\\\"game\\\"].log\\n )\",\n \"def interactive():\\n IPython.start_ipython(argv=[])\",\n \"def show(self):\\n import IPython.display\\n disp = IPython.display.HTML(self.render())\\n return IPython.display.display(disp, display_id=str(id(self)))\",\n \"def describe_notebook_instance(NotebookInstanceName=None):\\n pass\",\n \"def test_ipython_display(self, r, rep, capsys):\\n r._ipython_display_() # pylint: disable=protected-access\\n captured = capsys.readouterr()\\n assert rep in captured.out\",\n \"def should_show():\",\n \"def _init_display(self):\\n raise NotImplementedError\",\n \"def show(self):\\n #show the viewlet if we are not using Firefox\\n user_agent = self.request.get('HTTP_USER_AGENT', '')\\n display = not ('Firefox' in user_agent or 'Chrome' in user_agent)\\n return display\",\n \"def show(self):\\n\\t\\traise NotImplementedError()\",\n \"def show(self):\\n raise NotImplementedError\",\n \"def show(self):\\n raise NotImplementedError\",\n \"def main():\\n app = guisupport.get_app_qt4()\\n\\n if INPROCESS:\\n from qtconsole.inprocess import QtInProcessKernelManager\\n km = QtInProcessKernelManager()\\n else:\\n from qtconsole.manager import QtKernelManager\\n km = QtKernelManager()\\n km.start_kernel()\\n km.kernel.gui = 'qt4'\\n kc = km.client()\\n kc.start_channels()\\n\\n widget = RichJupyterWidget()\\n widget.kernel_manager = km\\n widget.kernel_client = kc\\n if CLEANSHUTDOWN: # slow exit on CTRL+D\\n def stop():\\n kc.stop_channels()\\n km.shutdown_kernel()\\n app.exit()\\n widget.exit_requested.connect(stop)\\n else: # fast exit on CTRL+D\\n widget.exit_requested.connect(app.quit)\\n widget.show()\\n guisupport.start_event_loop_qt4(app)\",\n \"def display_only(self):\\n return self.__class__(None, self.display)\",\n \"def init_notebook_plotting(offline: bool = False) -> None:\\n display_bundle = {\\\"text/html\\\": _wrap_js(_js_requires(offline=offline))}\\n display(display_bundle, raw=True)\\n logger.info(\\\"Injecting Plotly library into cell. Do not overwrite or delete cell.\\\")\\n init_notebook_mode()\",\n \"def debug():\\n # \\\"EMBEDDED_MODE\\\" is True precisely when the Sage notebook is running.\\n from sage.plot.plot import EMBEDDED_MODE\\n if not EMBEDDED_MODE:\\n # Must be the command line, so suggest using the IPython debugger.\\n print(\\\"You should use %debug on the command line.\\\")\\n else:\\n # Create the Debug object and make it interactive.\\n Debug().interact()\",\n \"def show(self) -> None:\",\n \"def init_notebook():\\n \\n # Note: not using IPython Comm objects yet, since they seem rather\\n # undocumented and I could not get them to work when I tried for a bit.\\n # This means though, that flexx in the notebook only works on localhost.\\n \\n from IPython.display import display, clear_output, HTML\\n # from .. import ui # noqa - make ui assets available\\n \\n # Make default log level warning instead of \\\"info\\\" to avoid spamming\\n # This preserves the log level set by the user\\n config.load_from_string('log_level = warning', 'init_notebook')\\n set_log_level(config.log_level)\\n \\n # Get session or create new\\n session = manager.get_default_session()\\n if session is None:\\n session = manager.create_default_session()\\n \\n # Open server - the notebook helper takes care of the JS resulting\\n # from running a cell, but any interaction goes over the websocket.\\n server = current_server()\\n host, port = server.serving\\n \\n # Trigger loading phosphor assets\\n if 'flexx.ui' in sys.modules:\\n from flexx import ui\\n session.register_model_class(ui.Widget)\\n \\n # Get assets, load all known modules to prevent dynamic loading as much as possible\\n js_assets, css_assets = session.get_assets_in_order(css_reset=False, load_all=True)\\n \\n # Pop the first JS asset that sets flexx.app_name and flexx.session_id\\n # We set these in a way that it does not end up in exported notebook.\\n js_assets.pop(0)\\n url = 'ws://%s:%i/flexx/ws/%s' % (host, port, session.app_name)\\n flexx_pre_init = \\\"\\\"\\\"<script>window.flexx = window.flexx || {};\\n window.flexx.app_name = \\\"%s\\\";\\n window.flexx.session_id = \\\"%s\\\";\\n window.flexx.ws_url = \\\"%s\\\";\\n window.flexx.is_live_notebook = true;\\n </script>\\\"\\\"\\\" % (session.app_name, session.id, url)\\n \\n # Check if already loaded, if so, re-connect\\n if not getattr(session, 'init_notebook_done', False):\\n session.init_notebook_done = True # also used in assetstore\\n else:\\n display(HTML(flexx_pre_init))\\n clear_output()\\n display(HTML(\\\"\\\"\\\"<script>\\n flexx.is_exported = !flexx.is_live_notebook;\\n flexx.init();\\n </script>\\n <i>Flexx already loaded. Reconnected.</i>\\n \\\"\\\"\\\"))\\n return # Don't inject Flexx twice\\n # Note that exporting will not work anymore since out assets\\n # are no longer in the outputs\\n \\n # Install helper to make things work in exported notebooks\\n NoteBookHelper(session)\\n \\n # Compose HTML to inject\\n t = \\\"<i>Injecting Flexx JS and CSS</i>\\\"\\n t += '\\\\n\\\\n'.join([asset.to_html('{}', 0) for asset in css_assets + js_assets])\\n t += \\\"\\\"\\\"<script>\\n flexx.is_notebook = true;\\n flexx.is_exported = !flexx.is_live_notebook;\\n /* If Phosphor is already loaded, disable our Phosphor CSS. */\\n if (window.jupyter && window.jupyter.lab) {\\n document.getElementById('phosphor-all.css').disabled = true;\\n }\\n flexx.init();\\n </script>\\\"\\\"\\\"\\n \\n display(HTML(flexx_pre_init)) # Create initial Flexx info dict\\n clear_output() # Make sure the info dict is gone in exported notebooks\\n display(HTML(t))\\n \\n # Note: the Widget._repr_html_() method is responsible for making\\n # the widget show up in the notebook output area.\",\n \"def jupyter_notebook(ip, all_kernels, env, idle_timeout, args):\\n if \\\"-h\\\" not in args and \\\"--help\\\" not in args:\\n ipython_message(all_kernels)\\n\\n arguments = _build_jupyter_command(\\n \\\"notebook\\\", ip=ip, all_kernels=all_kernels, args=args, idle_timeout=idle_timeout\\n )\\n\\n python_call_kwargs = _build_jupyter_env(env)\\n python_call(\\\"jupyter\\\", arguments, **python_call_kwargs)\",\n \"def test_JupyterNotebooks1(self):\\n\\n self.delayDisplay(\\\"Starting the test\\\")\\n\\n # TODO: implement test\\n\\n self.delayDisplay('Test passed!')\",\n \"def _in_ipython(self):\\n import graphlab.canvas.target\\n return isinstance(graphlab.canvas.get_target(), graphlab.canvas.target.IPythonTarget)\",\n \"def in_ipynb(debug=False):\\n\\n frame_info_list = get_frame_list()[1]\\n filenames = [fi.filename for fi in frame_info_list]\\n\\n test_str = \\\"\\\\n\\\".join(filenames)\\n # this should be made more reliable\\n if \\\"ipykernel_launcher\\\" in test_str and \\\\\\n \\\"ipykernel/kernelapp.py\\\" in test_str and \\\\\\n \\\"zmqshell\\\" in test_str:\\n res = True\\n else:\\n res = False\\n\\n if debug:\\n dbgc = Container(fetch_locals=True)\\n return dbgc\\n else:\\n return res\",\n \"def display_stdout_and_err_in_curr_cell(self):\\n ipy_display(self.output_widget)\",\n \"def jupyter_is_interactive_run():\\n return \\\"_JUPYTER_BAZEL_INTERACTIVE_RUNFILES_DIR\\\" in os.environ\",\n \"def display_html_snapshots_widget():\\n if not get_ipython():\\n print('The HTML snapshot widget cannot be display in environments other than IPython.')\\n return\\n\\n # Configure notebook display preferences to better suit this UI. These display settings\\n # will be in effect for all cells in the notebook run after this one is run.\\n pd.set_option('display.max_colwidth', None)\\n pd.set_option('display.max_rows', None)\\n get_ipython().run_cell_magic(\\n 'javascript',\\n '',\\n '''// Display cell outputs to full height (no vertical scroll bar)\\n IPython.OutputArea.auto_scroll_threshold = 9999;''')\\n\\n # Retrieve the workspace metadata for the current user and environment.\\n ws_meta = WorkspaceMetadata()\\n workspace_names2id = collections.OrderedDict(sorted(\\n ws_meta.get_workspace_name_to_id_mapping().items()))\\n workspace_names2id_include_readonly = collections.OrderedDict(sorted(\\n ws_meta.get_workspace_name_to_id_mapping(include_private_readonly=True).items()))\\n workspace_ids2bucket_include_readonly = ws_meta.get_workspace_id_to_bucket_mapping(include_private_readonly=True)\\n workspace_paths = {k: WorkspacePaths(workspace_bucket=v)\\n for k, v in workspace_ids2bucket_include_readonly.items()}\\n\\n ui_output = widgets.Output()\\n\\n ui_tabs = widgets.Tab()\\n ui_tabs.children = [create_html_snapshot_widget(ws_names2id=workspace_names2id,\\n ws_paths=workspace_paths,\\n output=ui_output),\\n create_view_files_widget(ws_names2id=workspace_names2id_include_readonly,\\n ws_paths=workspace_paths,\\n output=ui_output),\\n create_view_all_comments_widget(ws_names2id=workspace_names2id_include_readonly,\\n ws_paths=workspace_paths,\\n output=ui_output)]\\n ui_tabs.set_title(title='Create', index=0)\\n ui_tabs.set_title(title='View one', index=1)\\n ui_tabs.set_title(title='View all', index=2)\\n\\n display(ui_tabs, ui_output)\",\n \"def showPlot2():\\n raise NotImplementedError\",\n \"def show_figure(self):\\n pylab.show()\",\n \"def run_from_ipython():\\n try:\\n __IPYTHON__\\n return True\\n except NameError:\\n return False\",\n \"def driver_open_display(self):\\n raise Exception(\\\"missing implementation \\\")\",\n \"def show(self):\\n pass\",\n \"def __window_print(self):\\n pass\",\n \"def disp(df):\\n display(HTML(df.to_html(index=False)))\",\n \"def showPlot1(): \\n raise NotImplementedError\",\n \"def subnotebook_show(self):\\n if not self.subnotebook:\\n logger.debug(\\\"Showing subnotebook\\\")\\n self.subnotebook = self.add_subnotebook()\",\n \"def summary(self):\\n if _have_ipython:\\n IPython.display.display(IPython.display.HTML(self._repr_html_()))\\n else:\\n print(self)\",\n \"def notebook_display(self):\\n time = self.out_channels['0'].samples / self.out_channels['0'].samprate\\n\\n vmax = 0.\\n for c in range(len(self.out_channels)):\\n vmax = max(\\n abs(self.out_channels[str(c)].values.max()),\\n abs(self.out_channels[str(c)].values.min()),\\n vmax\\n ) * 1.05\\n \\n for i in range(len(self.out_channels)):\\n plt.plot(time[::20], self.out_channels[str(i)].values[::20]+2*i*vmax, label=self.channels.labels[i])\\n\\n plt.xlabel('Time (s)')\\n plt.ylabel('Relative Amplitude')\\n plt.legend(frameon=False, loc=5)\\n plt.xlim(-time[-1]*0.05,time[-1]*1.2)\\n for s in plt.gca().spines.values():\\n s.set_visible(False)\\n plt.gca().get_yaxis().set_visible(False)\\n\\n if len(self.channels.labels) == 1:\\n # we have used 48000 Hz everywhere above as standard, but to quickly hear the sonification sped up / slowed down,\\n # you can modify the 'rate' argument below (e.g. multiply by 0.5 for half speed, by 2 for double speed, etc)\\n outfmt = np.column_stack([self.out_channels['0'].values, self.out_channels['0'].values]).T\\n else:\\n outfmt = np.column_stack([self.out_channels['0'].values, self.out_channels['1'].values]).T\\n plt.show()\\n display(ipd.Audio(outfmt,rate=self.out_channels['0'].samprate, autoplay=False))\",\n \"def _run_from_ipython():\\n try:\\n __IPYTHON__\\n return True\\n except NameError:\\n return False\",\n \"def get_virtual_display(self):\\n pass\",\n \"def displayNative(self):\\n\\n\\t\\tcmd.hide(\\\"lines\\\", \\\"native\\\")\\n\\t\\tcmd.color(\\\"gray\\\", \\\"native & name CA\\\")\\n\\t\\t#cmd.zoom(\\\"nearby\\\")\",\n \"def running_in_ipython() -> bool:\\n try:\\n from IPython import get_ipython\\n\\n return get_ipython() is not None\\n except ImportError:\\n return False\",\n \"def html_viewer(i):\\n\\n i['module_uoa']='experiment.tune.compiler.flags'\\n i['module_cfg']=copy.deepcopy(cfg)\\n i['module_work']=copy.deepcopy(work)\\n return ck.access(i)\",\n \"def show(self):\",\n \"def show_df_ui(df,transpose=False,default=\\\"Hide\\\",message=\\\"Show dataframe: \\\"):\\n def make_btn(val):\\n btn_widget=widgets.Button(\\n value=False,\\n description=val,\\n disabled=False,\\n button_style='',\\n layout=widgets.Layout(width=\\\"80px\\\"),\\n )\\n return btn_widget\\n \\n def show_head():\\n if not transpose:\\n display(df.head(10))\\n else:\\n display(df.head(10).transpose())\\n def show_tail():\\n if not transpose:\\n display(df.tail(10))\\n else:\\n display(df.tail(10).transpose())\\n def show_full():\\n if not transpose:\\n display(df)\\n else:\\n display(df.transpose())\\n def show_random():\\n if not transpose:\\n display(Frames.smart_sample(df,10))\\n else:\\n display(Frames.smart_sample(df,10).transpose())\\n def hide_output():\\n pass\\n \\n def refresh():\\n Notebook.clear()\\n Widgets.show_df_ui(df,transpose=transpose,message=message)\\n \\n def show_head_refresh(b):\\n refresh()\\n show_head()\\n def show_tail_refresh(b):\\n refresh()\\n show_tail()\\n def show_full_refresh(b):\\n refresh()\\n show_full()\\n def show_random_refresh(b):\\n refresh()\\n show_random()\\n def hide_output_refresh(b):\\n refresh()\\n \\n behaviors={\\n \\\"Hide\\\": hide_output,\\n \\\"Head\\\": show_head,\\n \\\"Tail\\\": show_tail,\\n \\\"Random\\\": show_random,\\n \\\"Full\\\": show_full\\n }\\n \\n btn_head=make_btn(\\\"Head\\\")\\n btn_random=make_btn(\\\"Random\\\")\\n btn_tail=make_btn(\\\"Tail\\\")\\n btn_full=make_btn(\\\"Full\\\")\\n btn_hide=make_btn(\\\"Hide\\\")\\n \\n btn_head.on_click(show_head_refresh)\\n btn_tail.on_click(show_tail_refresh)\\n btn_full.on_click(show_full_refresh)\\n btn_random.on_click(show_random_refresh)\\n btn_hide.on_click(hide_output_refresh)\\n \\n ui_group=widgets.HBox([\\n widgets.Label(value=message),\\n btn_head,\\n btn_random,\\n btn_tail,\\n btn_full,\\n btn_hide,\\n ])\\n display(ui_group)\\n if default in behaviors:\\n behaviors[default]()\",\n \"def execute_notebook(nb, resources):\\n\\n if is_ipython_3():\\n from IPython.nbconvert.preprocessors import ExecutePreprocessor\\n nb, resources = ExecutePreprocessor().preprocess(nb, resources)\\n elif runipy_available:\\n from runipy.notebook_runner import NotebookRunner\\n r = NotebookRunner(nb)\\n r.run_notebook(skip_exceptions=True)\\n nb = r.nb\\n else:\\n raise ImportError(\\\"Can't execute notebooks. Please install IPython >= 3 or runipy.\\\")\\n\\n return nb\",\n \"def _save_nb():\\n try:\\n import IPython\\n except ImportError:\\n raise ImportError(\\\"You need to install IPython to use _save_nb\\\")\\n from IPython.display import HTML, Javascript, display\\n\\n if is_lab():\\n script = \\\"\\\"\\\"\\n this.nextElementSibling.focus();\\n this.dispatchEvent(new KeyboardEvent('keydown', {key:'s', keyCode: 83, metaKey: true}));\\n \\\"\\\"\\\"\\n display(HTML(('<img src onerror=\\\"{}\\\" style=\\\"display:none\\\">' '<input style=\\\"width:0;height:0;border:0\\\">').format(script)))\\n else:\\n display(Javascript(\\\"IPython.notebook.save_checkpoint();\\\"))\",\n \"def showPlot3():\\n raise NotImplementedError\",\n \"def plot_notebook(cp_profile, *args, **kwargs):\\n plot(cp_profile, *args, destination=\\\"notebook\\\", **kwargs)\",\n \"def export_html(self):\\n self._svg_warning_displayed = False\\n super(RichJupyterWidget, self).export_html()\",\n \"def imdisplay(filename, representation):\\n img = read_image(filename, representation)\\n if representation == GS_REP:\\n plt.imshow(img, cmap=plt.cm.gray)\\n else:\\n plt.imshow(img)\",\n \"def run_shell(options):\\n from IPython import embed\\n embed()\",\n \"def start_displayhook(self):\\n pass\",\n \"def matlab_console():\\n from sage.repl.rich_output.display_manager import get_display_manager\\n if not get_display_manager().is_in_terminal():\\n raise RuntimeError('Can use the console only in the terminal. Try %%matlab magics instead.')\\n os.system('matlab -nodisplay')\",\n \"def render_notebook_script(scene, sig=None, **kwargs):\\n js = generate_notebook_js(scene, sig=sig, **kwargs)\\n display(js)\",\n \"def display_df(df):\\n with pd.option_context(\\\"display.max_rows\\\", 1000, \\\"display.max_columns\\\", 100):\\n display(df.head(10))\",\n \"def _read_rendered_notebook(nb_str):\\n # add debug cells\\n nb = nbformat.reads(nb_str, as_version=nbformat.NO_CONVERT)\\n nbformat_v = nbformat.versions[nb.nbformat]\\n\\n source = \\\"\\\"\\\"\\n# Debugging settings (this cell will be removed before saving)\\n# change the current working directory to directory of the session that\\n# invoked the jupyter app to make relative paths work\\nimport os\\n{}\\n\\\"\\\"\\\".format(chdir_code(Path('.').resolve()))\\n\\n cell = nbformat_v.new_code_cell(source,\\n metadata={'tags': ['debugging-settings']})\\n nb.cells.insert(0, cell)\\n\\n return nb\",\n \"def jntToDisplay():\\n DISPLAY=\\\"DISPLAY\\\"\\n # check obj exist\\n if pm.objExists(DISPLAY) != 1:\\n pm.error(\\\"no object call DISPLAY\\\")\\n jnt=pm.ls(\\\"*_ikJnt*\\\",\\\"*_fkJnt*\\\",\\\"*_ctrlJnt*\\\",type ='joint')\\n for obj in jnt:\\n\\n pm.delete(obj + \\\".overrideDisplayType\\\",icn=1)\\n pm.setAttr(obj + \\\".overrideEnabled\\\",1)\\n pm.setAttr(obj + \\\".overrideDisplayType\\\",0)\\n pm.connectAttr(DISPLAY + \\\".ctrlJntDisplay\\\",obj + \\\".overrideDisplayType\\\",f=1)\\n pm.setAttr(DISPLAY + \\\".ctrlJntDisplay\\\",0) # set to normal\\n\\n jnt=pm.ls(\\\"*_skinJnt*\\\",\\\"*:*_skinJnt*\\\",type ='joint')\\n for obj in jnt:\\n pm.delete(obj + \\\".overrideDisplayType\\\",icn=1)\\n pm.setAttr(obj + \\\".overrideEnabled\\\",1)\\n pm.setAttr(obj + \\\".overrideDisplayType\\\",0)\\n pm.connectAttr(DISPLAY + \\\".skeletonDisplay\\\",obj + \\\".overrideDisplayType\\\",f=1)\\n pm.setAttr(DISPLAY + \\\".skeletonDisplay\\\",0) # set to normal\\n\\n\\n pm.setAttr(DISPLAY + \\\".geoDisplay\\\",0) # set to normal\\n pm.setAttr((\\\"GEO.overrideEnabled\\\"),1)\\n pm.setAttr((\\\"GEO.overrideDisplayType\\\"),0)\\n pm.delete((\\\"GEO.overrideDisplayType\\\"),icn=1)\\n pm.connectAttr((DISPLAY + \\\".geoDisplay\\\"),(\\\"GEO.overrideDisplayType\\\"),f=1)\",\n \"def ipython(self):\\n try:\\n __IPYTHON__\\n return True\\n except NameError:\\n return False\",\n \"def dataframe_displayer(df):\\n\\n #On paramètre les options d'affichage du module pandas\\n pd.set_option('display.max_rows', None)\\n pd.set_option('display.max_columns', None)\\n pd.set_option('display.width', None)\\n pd.set_option('display.max_colwidth', -1)\\n\\n print(df)\",\n \"def __repr__(self):\\n return self.display()\",\n \"def show_output(self, conn, rcode):\\n\\n if rcode:\\n title, results = self.connector.get_results(0)\\n scrolled = Gtk.ScrolledWindow()\\n scrolled.add(results)\\n tab_label = self.get_tab_label(title, scrolled)\\n self.notebook.append_page(scrolled, tab_label)\\n\\n if not self.notebook.get_parent():\\n child = self.output_window.get_children()[0]\\n self.output_window.remove(child)\\n self.output_window.add(self.notebook)\\n self.notebook.show_all()\\n del child\\n\\n tab_label.show_all()\\n scrolled.show_all()\\n else:\\n self.connector.get_results(0)\",\n \"def in_console(self, mpl_backend: str) -> bool:\\n return mpl_backend not in [\\n \\\"module://ipykernel.pylab.backend_inline\\\",\\n \\\"NbAgg\\\",\\n ]\",\n \"def display_synth_editor(self, sid):\\n pass\",\n \"def show():\\n plt.show()\",\n \"def show():\\n plt.show()\",\n \"def show():\\n plt.show()\",\n \"def show_inline_matplotlib_plots():\\n if 'matplotlib' not in sys.modules:\\n # matplotlib hasn't been imported, nothing to do.\\n return\\n\\n try:\\n import matplotlib as mpl\\n from ipykernel.pylab.backend_inline import flush_figures\\n except ImportError:\\n return\\n\\n if (mpl.get_backend() == 'module://ipykernel.pylab.backend_inline' or\\n mpl.get_backend() == 'module://matplotlib_inline.backend_inline'):\\n flush_figures()\",\n \"def show():\\n setup()\\n plt.show()\",\n \"def display(self, buffer = None):\\n raise NotImplementedError\",\n \"def load_jupyter_server_extension(nbapp):\\n resuseconfig = ResourceUseDisplay(parent=nbapp)\\n nbapp.web_app.settings['nbresuse_display_config'] = resuseconfig\\n route_pattern = url_path_join(nbapp.web_app.settings['base_url'], '/metrics')\\n nbapp.web_app.add_handlers('.*', [(route_pattern, MetricsHandler)])\",\n \"def command_show(problem):\\r\\n print problem.get_html()\",\n \"def show_plots():\\n plt.show()\",\n \"def show():\\n\\tplt.show()\",\n \"def getImmediateRendering():\\n\\n\\treturn False\",\n \"def ion():\\n plt.ion()\",\n \"def is_ipython():\\n return 'get_ipython' in globals()\",\n \"def _repr_html_(self) -> str:\\n return self.all(pandas=True)._repr_html_() # type: ignore\",\n \"def showZoomToolbar():\\n\\treturn False\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8027189","0.7526061","0.7526061","0.7300398","0.71970946","0.6907858","0.68669766","0.6833837","0.67673033","0.6737627","0.67263234","0.66920686","0.6689149","0.66816413","0.6628358","0.65491647","0.65302175","0.6369754","0.6367418","0.6348409","0.63246626","0.6307671","0.63021827","0.61833525","0.616384","0.609693","0.6082762","0.6025215","0.6001261","0.5970714","0.59579533","0.58877605","0.5870047","0.58572173","0.58433926","0.58433926","0.58179194","0.5816548","0.5802665","0.5795343","0.5789215","0.57848006","0.5769881","0.57641375","0.5763343","0.5757674","0.5755532","0.57518643","0.57393265","0.57287216","0.5702222","0.56983685","0.5685448","0.5678559","0.56712276","0.5662902","0.565813","0.5633656","0.56316847","0.56267273","0.5625852","0.56100374","0.5599264","0.5598902","0.5588617","0.5585978","0.5574294","0.5571958","0.55675733","0.5565028","0.55638915","0.55595577","0.5558875","0.5551852","0.55385506","0.55276173","0.5526358","0.55256695","0.5519017","0.5515643","0.55154896","0.55132324","0.549871","0.549023","0.5475638","0.54692346","0.5463385","0.5463385","0.5463385","0.545176","0.54266715","0.54175967","0.5410565","0.54086363","0.54060614","0.5403256","0.5400465","0.5399308","0.539308","0.5389942","0.5381485"],"string":"[\n \"0.8027189\",\n \"0.7526061\",\n \"0.7526061\",\n \"0.7300398\",\n \"0.71970946\",\n \"0.6907858\",\n \"0.68669766\",\n \"0.6833837\",\n \"0.67673033\",\n \"0.6737627\",\n \"0.67263234\",\n \"0.66920686\",\n \"0.6689149\",\n \"0.66816413\",\n \"0.6628358\",\n \"0.65491647\",\n \"0.65302175\",\n \"0.6369754\",\n \"0.6367418\",\n \"0.6348409\",\n \"0.63246626\",\n \"0.6307671\",\n \"0.63021827\",\n \"0.61833525\",\n \"0.616384\",\n \"0.609693\",\n \"0.6082762\",\n \"0.6025215\",\n \"0.6001261\",\n \"0.5970714\",\n \"0.59579533\",\n \"0.58877605\",\n \"0.5870047\",\n \"0.58572173\",\n \"0.58433926\",\n \"0.58433926\",\n \"0.58179194\",\n \"0.5816548\",\n \"0.5802665\",\n \"0.5795343\",\n \"0.5789215\",\n \"0.57848006\",\n \"0.5769881\",\n \"0.57641375\",\n \"0.5763343\",\n \"0.5757674\",\n \"0.5755532\",\n \"0.57518643\",\n \"0.57393265\",\n \"0.57287216\",\n \"0.5702222\",\n \"0.56983685\",\n \"0.5685448\",\n \"0.5678559\",\n \"0.56712276\",\n \"0.5662902\",\n \"0.565813\",\n \"0.5633656\",\n \"0.56316847\",\n \"0.56267273\",\n \"0.5625852\",\n \"0.56100374\",\n \"0.5599264\",\n \"0.5598902\",\n \"0.5588617\",\n \"0.5585978\",\n \"0.5574294\",\n \"0.5571958\",\n \"0.55675733\",\n \"0.5565028\",\n \"0.55638915\",\n \"0.55595577\",\n \"0.5558875\",\n \"0.5551852\",\n \"0.55385506\",\n \"0.55276173\",\n \"0.5526358\",\n \"0.55256695\",\n \"0.5519017\",\n \"0.5515643\",\n \"0.55154896\",\n \"0.55132324\",\n \"0.549871\",\n \"0.549023\",\n \"0.5475638\",\n \"0.54692346\",\n \"0.5463385\",\n \"0.5463385\",\n \"0.5463385\",\n \"0.545176\",\n \"0.54266715\",\n \"0.54175967\",\n \"0.5410565\",\n \"0.54086363\",\n \"0.54060614\",\n \"0.5403256\",\n \"0.5400465\",\n \"0.5399308\",\n \"0.539308\",\n \"0.5389942\",\n \"0.5381485\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":1499,"cells":{"query":{"kind":"string","value":"Main function to get data into Splunk."},"document":{"kind":"string","value":"def collect_events(helper, ew): # pylint: disable=no-self-argument,invalid-name,too-many-statements,too-many-branches\n\n def clear_checkbox(session_key, stanza):\n \"\"\" Sets the 'reindex_data' value in the REST API to 0 to clear it. Splunk then automatically restarts the input.\"\"\"\n url = f'https://localhost:8089/servicesNS/nobody/TA-strava-for-splunk/data/inputs/strava_api/{stanza}'\n headers = {'Authorization': f'Splunk {session_key}'}\n payload = 'reindex_data=0'\n helper.send_http_request(url, \"POST\", headers=headers, payload=payload, verify=False, use_proxy=False)\n\n def get_activities(ts_activity, access_token):\n \"\"\"Gets all activities, 30 per page as per Strava's default.\"\"\"\n params = {'after': ts_activity, 'access_token': access_token}\n url = \"https://www.strava.com/api/v3/activities\"\n response = return_json(url, \"GET\", parameters=params)\n return response\n\n def get_activity(activity, token):\n \"\"\"Gets specific activity.\"\"\"\n url = f'https://www.strava.com/api/v3/activities/{activity}?include_all_efforts=true'\n params = {'access_token': token}\n response = return_json(url, \"GET\", parameters=params, timeout=10)\n return response\n\n def get_activity_stream(token, activity, types, series_type='time', resolution='high'):\n \"\"\"Gets the activity stream for given activity id.\"\"\"\n types = ','.join(types)\n params = {'access_token': token}\n url = f'https://www.strava.com/api/v3/activities/{activity}/streams/{types}&series_type={series_type}&resolution={resolution}&key_by_type='\n response = return_json(url, \"GET\", parameters=params, timeout=10)\n return response\n\n def get_athlete(token):\n \"\"\"Gets details on currently logged in athlete.\"\"\"\n url = \"https://www.strava.com/api/v3/athlete\"\n params = {'access_token': token}\n response = return_json(url, \"GET\", parameters=params, timeout=10)\n return response\n\n def get_epoch(timestamp):\n \"\"\"Converts Strava datetime to epoch timestamp\"\"\"\n timestamp_dt = datetime.datetime.strptime(timestamp, \"%Y-%m-%dT%H:%M:%SZ\")\n epoch = calendar.timegm(timestamp_dt.timetuple())\n return epoch\n\n def get_token(client_id, client_secret, token, renewal):\n \"\"\"Get or refresh access token from Strava API.\"\"\"\n url = \"https://www.strava.com/api/v3/oauth/token\"\n\n if renewal:\n payload = {\n 'client_id': client_id,\n 'client_secret': client_secret,\n 'refresh_token': token,\n 'grant_type': 'refresh_token'}\n message = \"Successfully refreshed Strava token.\"\n else:\n payload = {\n 'client_id': client_id,\n 'client_secret': client_secret,\n 'code': token,\n 'grant_type': 'authorization_code'}\n message = \"Successfully authenticated with Strava using access code.\"\n\n response = return_json(url, \"POST\", payload=payload)\n helper.log_info(message)\n return response\n\n def kvstore_save_athlete(session_key, athlete_id, firstname, lastname, weight, ftp): # pylint: disable=too-many-arguments\n \"\"\"Stores athlete's id, first name, last name, weight and ftp into strava_athlete KV Store collection.\"\"\"\n url = 'https://localhost:8089/servicesNS/nobody/TA-strava-for-splunk/storage/collections/data/strava_athlete/batch_save'\n headers = {'Content-Type': 'application/json', 'Authorization': f'Splunk {session_key}'}\n payload = [{\"_key\": athlete_id, \"id\": athlete_id, \"firstname\": firstname, \"lastname\": lastname, \"fullname\": firstname + \" \" + lastname, \"weight\": weight, \"ftp\": ftp}]\n helper.send_http_request(url, \"POST\", headers=headers, payload=payload, verify=False, use_proxy=False)\n\n def parse_data(data, activity_id, activity_start_date):\n \"\"\"Gets raw JSON data, parses it into events and writes those to Splunk.\"\"\"\n data_dict = {}\n final_dict = {}\n for i in data:\n data_dict[i['type']] = i['data']\n\n counter = 1\n nrange = len(data_dict['time'])\n for item in range(1, nrange + 1):\n final_dict[item] = {}\n\n for key, value in data_dict.items():\n counter = 1\n for i in value:\n final_dict[counter][key] = i\n final_dict[counter]['activity_id'] = activity_id\n\n if 'time' in key:\n final_dict[counter]['time'] = final_dict[counter]['time'] + activity_start_date\n final_dict[counter]['time'] = time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime(final_dict[counter]['time']))\n\n if 'latlng' in key:\n final_dict[counter]['lat'] = final_dict[counter]['latlng'][0]\n final_dict[counter]['lon'] = final_dict[counter]['latlng'][1]\n final_dict[counter].pop('latlng')\n counter += 1\n\n result_list = [value for key, value in final_dict.items()]\n\n for event in result_list:\n write_to_splunk(index=helper.get_output_index(), sourcetype='strava:activities:stream', data=json.dumps(event))\n\n helper.log_info(f'Added activity stream {activity_id} for {athlete_id}.')\n return True\n\n def return_json(url, method, **kwargs):\n \"\"\"Gets JSON from URL and parses it for potential error messages.\"\"\"\n response = helper.send_http_request(url, method, use_proxy=False, **kwargs)\n\n try:\n response.raise_for_status()\n except requests.HTTPError as ex:\n # status code 429 means we hit Strava's API limit, wait till next 15 minute mark (+5 seconds) and try again\n if ex.response.status_code == 429:\n # Get the 15m/24h API limits for this user\n api_usage_15m = response.headers['X-RateLimit-Usage'].split(\",\")[0]\n api_usage_24h = response.headers['X-RateLimit-Usage'].split(\",\")[1]\n api_limit_15m = response.headers['X-RateLimit-Limit'].split(\",\")[0]\n api_limit_24h = response.headers['X-RateLimit-Limit'].split(\",\")[1]\n\n timestamp_now = int(time.time())\n modulus_time = timestamp_now % 900\n sleepy_time = 0 if modulus_time == 0 else (900 - modulus_time + 5)\n helper.log_warning(f'Strava API rate limit hit. Used {api_usage_15m}/15min (limit {api_limit_15m}), {api_usage_24h}/24h (limit {api_limit_24h}). Sleeping for {sleepy_time} seconds.')\n time.sleep(sleepy_time)\n response = return_json(url, method, **kwargs)\n helper.log_debug(f'429 detail: {response}')\n return response\n if ex.response.status_code in (400, 401):\n helper.log_error(f'{ex.response.status_code} Error: Strava API credentials invalid or session expired. Make sure Client ID & Client Secret have been added to the Configuration -> Add-On Parameters tab and your access code is valid.')\n sys.exit(1)\n if ex.response.status_code == 404:\n helper.log_warning(f'404 Error: no stream data for url {url}, can happen for manually added activities.')\n return False\n if ex.response.status_code == 500:\n helper.log_warning(f'500 Error: no data received from Strava API for url {url}, it might be corrupt or invalid. Skipping activity.')\n return False\n # In case there's any other error than the ones described above, log the error and exit.\n helper.log_error(f'Error: {ex}')\n sys.exit(1)\n\n # Must have been a 200 status code\n return response.json()\n\n def set_athlete(response):\n \"\"\"Creates dict with athlete details, including token expiry.\"\"\"\n name = response['athlete']['firstname'] + \" \" + response['athlete']['lastname']\n athlete = {\n 'id': response['athlete']['id'],\n 'name': name,\n 'access_token': response['access_token'],\n 'refresh_token': response['refresh_token'],\n 'expires_at': response['expires_at'],\n 'ts_activity': 0}\n return athlete\n\n def write_to_splunk(**kwargs):\n \"\"\"Writes activity to Splunk index.\"\"\"\n event = helper.new_event(**kwargs)\n ew.write_event(event)\n\n # get configuration arguments\n client_id = helper.get_global_setting('client_id')\n client_secret = helper.get_global_setting('client_secret')\n access_code = helper.get_arg('access_code')\n start_time = helper.get_arg('start_time') or 0\n types = ['time', 'distance', 'latlng', 'altitude', 'velocity_smooth', 'heartrate', 'cadence', 'watts', 'temp', 'moving', 'grade_smooth']\n\n # stanza is the name of the input. This is a unique name and will be used as a checkpoint key to save/retrieve details about an athlete\n stanza = list(helper.get_input_stanza())[0]\n athlete = helper.get_check_point(stanza)\n helper.log_debug(f'Athlete: {athlete}')\n\n # if reindex_data checkbox is set, update the start_time to be the one specified and clear the checkbox.\n if helper.get_arg('reindex_data'):\n if int(helper.get_arg('reindex_data')) == 1:\n athlete.update({'ts_activity': start_time})\n helper.save_check_point(stanza, athlete)\n # the clear_checkbox function will restart this input as soon as the change is made, so no further code required.\n clear_checkbox(helper.context_meta['session_key'], stanza)\n\n # if athlete is set, get details & tokens - otherwise fetch tokens with get_token()\n if athlete:\n athlete_id = athlete['id']\n athlete_name = athlete['name']\n expires_at = athlete['expires_at']\n refresh_token = athlete['refresh_token']\n else:\n expires_at = False\n refresh_token = False\n\n # Check if expires_at token is set and renew token if token expired. Otherwise fetch token with initial access code.\n if expires_at:\n if time.time() >= expires_at:\n response = get_token(client_id, client_secret, refresh_token, renewal=True)\n helper.log_debug(f\"Access token: {response['access_token']}, refresh token: {response['refresh_token']}\")\n athlete.update({'access_token': response['access_token'], 'refresh_token': response['refresh_token'], 'expires_at': response['expires_at']})\n else:\n response = get_token(client_id, client_secret, access_code, renewal=False)\n athlete = set_athlete(response)\n athlete_id = athlete['id']\n athlete_name = athlete['name']\n\n helper.save_check_point(stanza, athlete)\n\n access_token = athlete['access_token']\n athlete_detail = get_athlete(access_token)\n athlete_firstname = athlete_detail['firstname']\n athlete_lastname = athlete_detail['lastname']\n athlete_weight = ''\n athlete_ftp = ''\n if athlete_detail['resource_state'] == 3:\n athlete_weight = athlete_detail['weight']\n athlete_ftp = athlete_detail['ftp']\n\n helper.log_debug(\"Saving athlete's details to KV Store.\")\n kvstore_save_athlete(helper.context_meta['session_key'], str(athlete_id), athlete_firstname, athlete_lastname, str(athlete_weight), str(athlete_ftp))\n\n # For backwards compatibility with upgrades from pre-2.5.0, which uses athlete['ts_newest_activity']. If there, clean them up.\n if 'ts_newest_activity' in athlete:\n helper.log_info(f\"Found existing timestamp {athlete['ts_newest_activity']}! Will remove it now.\")\n ts_activity = athlete['ts_newest_activity']\n athlete.update({'ts_activity': ts_activity})\n athlete.pop('ts_newest_activity')\n athlete.pop('get_old_activities')\n athlete.pop('ts_oldest_activity')\n helper.save_check_point(stanza, athlete)\n else:\n ts_activity = athlete['ts_activity'] or start_time\n\n # webhook_updates contains updated activities that came in via webhook.\n webhook_updates = helper.get_check_point('webhook_updates') or {}\n\n if str(athlete_id) in webhook_updates:\n for activity in webhook_updates[str(athlete_id)][:]:\n helper.log_info(f'Received update via webhook for activity {activity} from athlete {athlete_id}')\n response = get_activity(activity, access_token)\n ts_activity = get_epoch(response['start_date'])\n\n # Store the event in Splunk\n write_to_splunk(index=helper.get_output_index(), sourcetype=helper.get_sourcetype(), data=json.dumps(response))\n\n # Get stream data for this activity and write to Splunk\n stream_data = get_activity_stream(access_token, activity, types)\n if stream_data:\n parse_data(stream_data, activity, ts_activity)\n\n # Remove from dict and save dict\n webhook_updates[str(athlete_id)].remove(activity)\n helper.save_check_point('webhook_updates', webhook_updates)\n helper.log_info(f'Got all webhook events for athlete {athlete_id}')\n\n helper.log_info(f'Checking if there are new activities for {athlete_name} ({athlete_id})')\n\n while True:\n\n response_activities = get_activities(ts_activity, access_token)\n\n # if all activities retrieved, set get_old_activities, save checkpoint and end loop to finish\n if len(response_activities) == 0: # pylint: disable=no-else-break\n helper.log_info(f'All done, got all activities for {athlete_name} ({athlete_id})')\n break\n else:\n # Get more details from each activity\n for event in response_activities:\n activity_id = event['id']\n response = get_activity(activity_id, access_token)\n\n # response = False for a 500 Error, which is likely an invalid Strava API file. In that case skip the activity and continue.\n if response:\n data = json.dumps(response)\n\n # Get start_date (UTC) and convert to UTC timestamp\n ts_activity = get_epoch(event['start_date'])\n\n # Store the event in Splunk\n write_to_splunk(index=helper.get_output_index(), sourcetype=helper.get_sourcetype(), data=data)\n helper.log_info(f'Added activity {activity_id} for {athlete_id}.')\n\n # Get stream data for this activity\n stream_data = get_activity_stream(access_token, activity_id, types)\n if stream_data:\n parse_data(stream_data, activity_id, ts_activity)\n\n # Save the timestamp of the last event to a checkpoint\n athlete.update({'ts_activity': ts_activity})\n helper.save_check_point(stanza, athlete)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def main():\n print(dumps(get_data()))\n return 0","def main():\n print get_latest_data()","def get_data():\n pass","def get_data():\n pass","def get_data():\n pass","def get_data():\n pass","def get_data():\n return","def main():\n logger = logging.getLogger(__name__)\n logger.info('making final data set from raw data')\n get_user_config()","def main() -> int:\n print(json.dumps(get_data())) # noqa: WPS421 (side-effect)\n return 0","def main():\n\n parser = argparse.ArgumentParser('Download all data into a folder')\n parser.add_argument('--homepage_url', help='url for adap-kdb homepage', required=True)\n parser.add_argument('--msp_path', help='path for msv file', required=True)\n parser.add_argument('--user_name', help='username for login', required=True)\n parser.add_argument('--user_password', help='user password fpr login', required=True)\n args = parser.parse_args()\n\n homepage_url = args.homepage_url\n msp_path = args.msp_path\n user_name = args.user_name\n user_password = args.user_password\n\n individual_search_test(homepage_url, msp_path, user_name, user_password)","async def main():\n async with aiohttp.ClientSession() as session:\n data = Luftdaten(SENSOR_ID, loop, session)\n await data.get_data()\n\n if not await data.validate_sensor():\n print(\"Station is not available:\", data.sensor_id)\n return\n\n if data.values and data.meta:\n # Print the sensor values\n print(\"Sensor values:\", data.values)\n\n # Print the coordinates fo the sensor\n print(\"Location:\", data.meta['latitude'], data.meta['longitude'])","def main():\n\n data = get_data(URL)\n\n if not data:\n raise ValueError('No data to process')\n\n datacenters = [\n Datacenter(key, value)\n for key, value in data.items()\n ]\n\n pass # the rest of your logic here","def main():\r\n mvip, user, user_pass, mvip_node = get_inputs()\r\n payload = build_payload()\r\n headers, url = build_auth(mvip, user, user_pass, mvip_node)\r\n response_json = connect_cluster(headers, url, payload)\r\n paired_vols = get_replication_status(response_json)\r\n payload = get_vol_stats(paired_vols)\r\n response_json = connect_cluster(headers, url, payload)\r\n parse_volume_stats(paired_vols, response_json)","def execute():\n \n # URL to the datasets part of SHARKdata.\n sharkdata_url = u'http://sharkdata.se/datasets/'\n\n # Download a list of all available datasets. The JSON format is used.\n datasets = json.load(urllib2.urlopen(sharkdata_url + u'list.json'))\n \n # Exit if no datasets are found. \n if len(datasets) < 1:\n print(u'No datasets found. Script terminated.')\n return\n\n # Print some info for all available datasets.\n print(u'\\nAvailable datasets on SHARKdata:' + u'\\n')\n for dataset in datasets:\n print(u' Datatype: ' + dataset[u'datatype'] + u' Name: ' + dataset[u'dataset_name'])\n \n # Get the name of the first dataset in the list.\n dataset_name = datasets[0][u'dataset_name']\n \n # Download header and data and print the content. The text format is used.\n print(u'\\nPrint dataset content for: ' + dataset_name + u'\\n')\n header_and_data = urllib2.urlopen(sharkdata_url + dataset_name + u'/data.txt')\n \n for row in header_and_data:\n # The text format character encoding is cp1252 (equal to windows-1252).\n row = row.decode(u'cp1252')\n# print(row.strip())\n\n # Download header and data and save to file.\n dataset_name = datasets[0][u'dataset_name']\n filename = datasets[0][u'dataset_file_name'].replace(u'.zip', u'.txt')\n character_encoding = u'utf8' # Some alternatives: cp1252, utf-8, utf-16, ascii, latin1, macroman.\n row_delimiter = u'\\r\\n'\n print(u'\\nDataset content for: ' + dataset_name + u' to file: ' + filename + u'\\n')\n out_file = None\n try:\n out_file = codecs.open(filename, mode = 'w', encoding = character_encoding)\n header_and_data = urllib2.urlopen(sharkdata_url + dataset_name + u'/data.txt')\n for row in header_and_data:\n row = row.decode(u'cp1252')\n out_file.write(row.strip() + row_delimiter)\n finally:\n if out_file: out_file.close()","def getData(version, scriptPath):\n print(\"getData\")\n popd=os.getcwd()\n dssvuePath = \"C:/Program Files (x86)/HEC/HEC-DSSVue/\"\n os.chdir(dssvuePath)\n # Path to script that extracts data from DSS file\n with open(scriptPath + \"version.txt\", 'wb') as vFile:\n pickle.dump([version], vFile)\n # Use HEC-DSSVue to run script (only way to use hec package that accesses DSS files)\n print(\"HEC-DSSVue.cmd\", \"-s\", scriptPath + \"getStageData.py\")\n call([\"HEC-DSSVue.cmd\", \"-s\", scriptPath + \"getStageData.py\"], shell=True)\n os.chdir(popd)","def mover_get_data(lfns,\n path,\n sitename,\n queuename,\n stageinTries,\n inputpoolfcstring=\"xmlcatalog_file:PoolFileCatalog.xml\",\n ub=\"outdated\", # to be removed\n dsname=\"\",\n dsdict={},\n rucio_dataset_dictionary={},\n guids=[],\n analysisJob=False,\n usect=True,\n pinitdir=\"\",\n proxycheck=True,\n spsetup=\"\",\n tokens=[],\n userid=\"\",\n inputDir=\"\",\n jobId=None,\n jobDefId=\"\",\n access_dict=None,\n scope_dict=None,\n workDir=\"\",\n DN=None,\n dbh=None,\n jobPars=\"\",\n cmtconfig=\"\",\n filesizeIn=[],\n checksumIn=[],\n transferType=None,\n experiment=\"\",\n eventService=False,\n sourceSite=\"\"):\n\n tolog(\"Mover get data started\")\n\n statusPFCTurl = None\n pilotErrorDiag = \"\"\n\n # FAX counters (will be reported in jobMetrics; only relevant when FAX has been activated after a stage-in failure)\n N_filesWithoutFAX = 0\n N_filesWithFAX = 0\n bytesWithoutFAX = 0L\n bytesWithFAX = 0L\n\n # FAX control variable, if FAX is used as primary site mover in combination with direct I/O\n usedFAXandDirectIO = False\n\n # The FAX variables above will be stored in a dictionary, to be returned by this function\n FAX_dictionary = {}\n\n # Is the DBRelease file available locally?\n DBReleaseIsAvailable = handleDBRelease(dbh, lfns, jobPars, path)\n\n # Should stage-in be aborted? (if there are only locally available DBRelease files in the stage-in list)\n if abortStageIn(dbh, lfns, DBReleaseIsAvailable):\n return 0, pilotErrorDiag, statusPFCTurl, FAX_dictionary\n\n # Setup the dictionary necessary for all instrumentation\n report = getInitialTracingReport(userid, sitename, dsname, \"get_sm\", analysisJob, jobId, jobDefId, DN)\n\n if stageinTries != 0:\n get_RETRY = min(stageinTries, MAX_NUMBER_OF_RETRIES)\n else:\n get_RETRY = MAX_RETRY\n get_TIMEOUT = 5*3600/get_RETRY\n\n fail = 0\n guidfname = {}\n error = PilotErrors()\n\n region = readpar('region')\n\n # Space tokens currently not used for input files\n # # check if there is are any space tokens\n # _token = getProperSpaceTokenList(token, listSEs, len(lfns))\n\n # Select the correct mover\n copycmd, setup = getCopytool(mode=\"get\")\n\n # Get the sitemover object corresponding to the default copy command\n sitemover = getSiteMover(copycmd, setup)\n\n # Get the experiment object\n thisExperiment = getExperiment(experiment)\n\n # Get the name for the PFC file\n _path = path\n if eventService:\n # Update the path (create the PFC in one level above the payload workdir)\n path = os.path.abspath(os.path.join(path, '..'))\n pfc_name = getPFCName(path, inputpoolfcstring)\n # done with the event server modification (related to the PFC generation), reset the path again\n path = _path\n\n # Build the file info dictionary (use the filesize and checksum from the dispatcher if possible) and create the PFC\n # Format: fileInfoDic[file_nr] = (guid, gpfn, fsize, fchecksum, filetype, copytool)\n # replicas_dic[guid1] = [ replica1, .. ] where replicaN is an object of class replica\n ec, pilotErrorDiag, fileInfoDic, totalFileSize, replicas_dic = \\\n getFileInfo(region, ub, queuename, guids, dsname, dsdict, lfns, pinitdir, analysisJob, tokens, DN, sitemover, error, path, dbh, DBReleaseIsAvailable,\\\n scope_dict, pfc_name=pfc_name, filesizeIn=filesizeIn, checksumIn=checksumIn, thisExperiment=thisExperiment)\n if ec != 0:\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\n\n # Until the Mover PFC file is no longer needed, call the TURL based PFC \"PoolFileCatalogTURL.xml\"\n pfc_name_turl = pfc_name.replace(\".xml\", \"TURL.xml\")\n\n # Create a SURL to space token dictionary\n tokens_dictionary = getSurlTokenDictionary(lfns, tokens)\n\n # Create a TURL based PFC if necessary/requested (i.e. if copy tool should not be used [useCT=False] and\n # if oldPrefix and newPrefix are not already set in copysetup [useSetPrefixes=False])\n ec, pilotErrorDiag, createdPFCTURL, usect = PFC4TURLs(analysisJob, transferType, fileInfoDic, pfc_name_turl, sitemover, sitename, usect, dsdict, eventService, tokens_dictionary, sitename, sourceSite, lfns)\n if ec != 0:\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\n\n # Correct the total file size for the DBRelease file if necessary\n totalFileSize = correctTotalFileSize(totalFileSize, fileInfoDic, lfns, dbh, DBReleaseIsAvailable)\n\n # Only bother with the size checks if the copy tool is to be used (non-direct access mode)\n if usect:\n # Get a proper maxinputsize from schedconfig/default \n _maxinputsize = getMaxInputSize()\n\n # Check the total input file size\n ec, pilotErrorDiag = verifyInputFileSize(totalFileSize, _maxinputsize, error)\n if ec != 0:\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\n\n # Do we have enough local space to stage in all data and run the job?\n ec, pilotErrorDiag = verifyAvailableSpace(sitemover, totalFileSize, path, error)\n if ec != 0:\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\n\n # Get the replica dictionary from file (used when the primary replica can not be staged due to some temporary error)\n replica_dictionary = getReplicaDictionaryFile(path)\n\n # file counters\n N_files_on_tape = 0\n N_root_files = 0\n N_non_root_files = 0\n\n # If FAX is used as a primary site mover then set the default FAX mode to true, otherwise to false (normal mode)\n if copycmd == \"fax\":\n usedFAXMode = True\n else:\n usedFAXMode = False\n\n # Use isOneByOneFileTransfer() to determine if files should be transferred one by one or all at once\n if not sitemover.isOneByOneFileTransfer():\n\n # Note: this mode is used by the aria2c site mover only\n # Normal stage-in is below\n\n tolog(\"All files will be transferred at once\")\n\n # Extract the file info for the first file in the dictionary\n guid, gpfn, lfn, fsize, fchecksum, filetype, copytool = extractInputFileInfo(fileInfoDic[0], lfns)\n file_access = getFileAccess(access_dict, lfn)\n dsname = getDataset(lfn, dsdict)\n\n # Perform stage-in using the sitemover wrapper method\n s, pErrorText = sitemover_get_all_data(sitemover, error, gpfn, lfn, path, fsize=fsize, spsetup=spsetup, fchecksum=fchecksum,\\\n guid=guid, analysisJob=analysisJob, usect=usect, pinitdir=pinitdir, proxycheck=proxycheck,\\\n sitename=sitename, token=None, timeout=get_TIMEOUT, dsname=dsname, userid=userid, report=report,\\\n access=file_access, inputDir=inputDir, jobId=jobId, workDir=workDir, cmtconfig=cmtconfig, lfns=lfns,\\\n experiment=experiment, replicas_dic=replicas_dic, dsdict=dsdict, scope_dict=scope_dict)\n if s != 0:\n tolog('!!WARNING!!2999!! Failed during stage-in of multiple files: %s' % (error.getErrorStr(s)))\n tolog(\"Exit code: %s\" % (s))\n fail = s\n\n # Normal stage-in (one by one file transfers)\n if sitemover.isOneByOneFileTransfer() or fail != 0:\n \n tolog(\"Files will be transferred one by one\")\n\n # Reset any previous failure\n fail = 0\n\n # Loop over all files in the file info dictionary\n number_of_files = len(fileInfoDic.keys())\n tolog(\"Will process %d file(s)\" % (number_of_files))\n for nr in range(number_of_files):\n # Extract the file info from the dictionary\n guid, gpfn, lfn, fsize, fchecksum, filetype, copytool = extractInputFileInfo(fileInfoDic[nr], lfns)\n\n # Has the copycmd/copytool changed? (E.g. due to FAX) If so, update the sitemover object\n if copytool != copycmd:\n copycmd = copytool\n # Get the sitemover object corresponding to the new copy command\n sitemover = getSiteMover(copycmd, setup)\n tolog(\"Site mover object updated since copytool has changed\")\n\n # Update the dataset name\n dsname = getDataset(lfn, dsdict)\n proper_dsname = getDataset(lfn, rucio_dataset_dictionary)\n scope = getFileScope(scope_dict, lfn)\n\n # Update the tracing report with the proper container/dataset name\n report = updateReport(report, gpfn, proper_dsname, fsize, sitemover)\n report['scope'] = scope\n\n # The DBRelease file might already have been handled, go to next file\n if isDBReleaseFile(dbh, lfn) and DBReleaseIsAvailable:\n updateFileState(lfn, workDir, jobId, mode=\"transfer_mode\", state=\"no_transfer\", type=\"input\")\n guidfname[guid] = lfn # needed for verification below\n continue\n else:\n tolog(\"(Not a DBRelease file)\")\n\n tolog(\"Mover is preparing to copy file %d/%d (lfn: %s guid: %s dsname: %s)\" % (nr+1, number_of_files, lfn, guid, dsname))\n tolog('Copying %s to %s (file catalog checksum: \\\"%s\\\", fsize: %s) using %s (%s)' %\\\n (gpfn, path, fchecksum, fsize, sitemover.getID(), sitemover.getSetup()))\n\n # Get the number of replica retries\n get_RETRY_replicas = getNumberOfReplicaRetries(createdPFCTURL, replica_dictionary, guid)\n\n file_access = getFileAccess(access_dict, lfn)\n\n # Loop over get function to allow for multiple get attempts for a file\n will_use_direct_io = False\n get_attempt = 0\n\n #get_RETRY = 1 #2 #PN\n while get_attempt < get_RETRY:\n if get_attempt > 0:\n _rest = 5*60\n tolog(\"(Waiting %d seconds before next stage-in attempt)\" % (_rest))\n sleep(_rest)\n tolog(\"Get attempt %d/%d\" % (get_attempt + 1, get_RETRY))\n replica_number = 0\n replica_transferred = False\n s = 1\n\n # Loop over replicas\n while s != 0 and replica_number < get_RETRY_replicas:\n # Grab the gpfn from the replicas dictionary in case alternative replica stage-in is allowed\n gpfn = getAlternativeReplica(gpfn, guid, replica_number, createdPFCTURL, replica_dictionary)\n\n # Perform stage-in using the sitemover wrapper method\n s, pErrorText, N_files_on_tape, N_root_files, N_non_root_files, replica_transferred, will_use_direct_io = sitemover_get_data(sitemover, error,\\\n get_RETRY, get_RETRY_replicas, get_attempt,\\\n replica_number, N_files_on_tape, N_root_files,\\\n N_non_root_files, gpfn, lfn, path,\\\n fsize=fsize, spsetup=spsetup, fchecksum=fchecksum,\\\n guid=guid, analysisJob=analysisJob, usect=usect,\\\n pinitdir=pinitdir, proxycheck=proxycheck,\\\n sitename=sitename, token=None, timeout=get_TIMEOUT,\\\n dsname=dsname, userid=userid, report=report,\\\n access=file_access, inputDir=inputDir, jobId=jobId,\\\n workDir=workDir, cmtconfig=cmtconfig,\\\n experiment=experiment, scope_dict=scope_dict,\\\n sourceSite=sourceSite)\n # Get out of the multiple replica loop\n if replica_transferred:\n break\n\n # Increase the replica attempt counter in case the previous replica could not be transferred\n replica_number += 1\n\n # Get out of the multiple get attempt loop\n if replica_transferred:\n break\n\n # Increase the get attempt counter in case of failure to transfer the file\n get_attempt += 1\n\n # Increase the successful file transfer counter (used only when reporting FAX transfers)\n if s == 0:\n # note the special case if FAX is the primary site mover (normally FAX is the fallback)\n if sitemover.copyCommand == \"fax\":\n N_filesWithFAX += 1\n bytesWithFAX += long(fsize)\n else:\n # Normal case\n N_filesWithoutFAX += 1\n bytesWithoutFAX += long(fsize)\n\n if s != 0:\n # Normal stage-in failed, now try with FAX if possible\n if error.isPilotFAXErrorCode(s):\n if isFAXAllowed(filetype, gpfn) and transferType != \"fax\" and sitemover.copyCommand != \"fax\": # no point in trying to fallback to fax if the fax transfer above failed\n tolog(\"Normal stage-in failed, will attempt to use FAX\")\n usedFAXMode = True\n\n # Get the FAX site mover\n old_sitemover = sitemover\n sitemover = getSiteMover(\"fax\", \"\")\n\n # Perform stage-in using the sitemover wrapper method\n s, pErrorText, N_files_on_tape, N_root_files, N_non_root_files, replica_transferred, will_use_direct_io = sitemover_get_data(sitemover, error,\\\n get_RETRY, get_RETRY_replicas, get_attempt, replica_number,\\\n N_files_on_tape, N_root_files, N_non_root_files,\\\n gpfn, lfn, path,\\\n fsize=fsize, spsetup=spsetup, fchecksum=fchecksum,\\\n guid=guid, analysisJob=analysisJob, usect=usect,\\\n pinitdir=pinitdir, proxycheck=proxycheck,\\\n sitename=sitename, token=None, timeout=get_TIMEOUT,\\\n dsname=dsname, userid=userid, report=report,\\\n access=file_access, inputDir=inputDir, jobId=jobId,\\\n workDir=workDir, cmtconfig=cmtconfig, experiment=experiment)\n if replica_transferred:\n tolog(\"FAX site mover managed to transfer file from remote site (resetting error code to zero)\")\n pilotErrorDiag = \"\"\n s = 0\n\n # Increase the successful FAX transfer counter\n N_filesWithFAX += 1\n bytesWithFAX += long(fsize)\n else:\n tolog(\"FAX site mover also failed to transfer file from remote site, giving up\")\n\n # restore the old sitemover\n del sitemover\n sitemover = old_sitemover\n else:\n tolog(\"(Not an error code eligible for FAX fail-over)\")\n\n if s != 0:\n tolog('!!FAILED!!2999!! Failed to transfer %s: %s (%s)' % (os.path.basename(gpfn), s, error.getErrorStr(s)))\n tolog(\"Exit code: %s\" % (s))\n\n # report corrupt file to consistency server if needed\n if s == error.ERR_GETADMISMATCH or s == error.ERR_GETMD5MISMATCH or s == error.ERR_GETWRONGSIZE or s == error.ERR_NOSUCHFILE:\n reportFileCorruption(gpfn, sitemover)\n\n # exception for object stores\n if (gpfn.startswith(\"s3:\") or 'objectstore' in gpfn) and '.log.tgz' in gpfn:\n tolog(\"!!FAILED!!2999!! Failed to transfer a log file from S3 objectstore. Will skip it and continue the job.\")\n else:\n fail = s\n break\n\n # Build the dictionary used to create the PFC for the TRF\n # In the case of FAX, use the global paths if direct access is to be used for the particlar file\n if usedFAXMode and will_use_direct_io:\n # The site mover needed here is the FAX site mover since the global file path methods are defined there only\n old_sitemover = sitemover\n sitemover = getSiteMover(\"fax\", \"\")\n guidfname[guid] = sitemover.findGlobalFilePath(lfn, dsname, sitename, sourceSite)\n\n # Restore the old sitemover\n del sitemover\n sitemover = old_sitemover\n\n # If FAX is used as a primary site mover, in combination with direct access, set the usedFAXandDirectIO flag\n # this will later be used to update the run command (e.g. --lfcHost is not needed etc)\n if copycmd == \"fax\":\n usedFAXandDirectIO = True\n else:\n guidfname[guid] = lfn # local_file_name\n\n if fail == 0:\n # Make sure the PFC has the correct number of files\n fail, pilotErrorDiag = verifyPFCIntegrity(guidfname, lfns, dbh, DBReleaseIsAvailable, error)\n\n # Now that the Mover PFC file is no longer needed, back it up and rename the TURL based PFC if it exists\n # (the original PFC is no longer needed. Move it away, and then create the PFC for the trf/runAthena)\n # backupPFC4Mover(pfc_name)\n\n # Create a standard PFC with SURLs if needed (basically this is default)\n # note: if FAX was used as a primary site mover in combination with direct I/O, then the SURLs will actually be TURLs\n # but there is no need to use the special TURL creation method PFC4TURL used above (FAX will have returned the TURLs instead)\n createStandardPFC4TRF(createdPFCTURL, pfc_name_turl, pfc_name, guidfname)\n\n tolog(\"Number of identified root files : %d\" % (N_root_files))\n tolog(\"Number of transferred non-root files: %d\" % (N_non_root_files))\n\n if usedFAXMode:\n tolog(\"Number of files without FAX : %d (normal transfers)\" % (N_filesWithoutFAX))\n tolog(\"Number of files with FAX : %d (successful FAX transfers)\" % (N_filesWithFAX))\n tolog(\"Bytes without FAX : %d (normal transfers)\" % (bytesWithoutFAX))\n tolog(\"Bytes with FAX : %d (successful FAX transfers)\" % (bytesWithFAX))\n\n if N_files_on_tape > 0:\n tolog(\"!!WARNING!!2999!! Number of skipped files: %d (not staged)\" % (N_files_on_tape))\n if N_root_files == 0:\n # This should only happen for user jobs\n tolog(\"Mover get_data failed since no root files could be transferred\")\n fail = error.ERR_NOSTAGEDFILES\n else:\n tolog(\"Mover get_data finished (partial)\")\n else:\n if fail == 0:\n tolog(\"Get successful\")\n tolog(\"Mover get_data finished\")\n else:\n tolog(\"Mover get_data finished (failed)\")\n tolog(\"Will return exit code = %d, pilotErrorDiag = %s\" % (fail, pilotErrorDiag)) \n\n # Now populate the FAX dictionary before finishing\n FAX_dictionary = getFAXDictionary(N_filesWithoutFAX, N_filesWithFAX, bytesWithoutFAX, bytesWithFAX, usedFAXandDirectIO)\n\n return fail, pilotErrorDiag, statusPFCTurl, FAX_dictionary","def main():\n\n # Setup `pysc` to use BASIC auth, with a username, and password. Also sets the endpoint to use.\n setup_sensorcloud_basic(CONSTS['SC_USERNAME'], CONSTS['SC_PASSWORD'],\n CONSTS['SC_ENDPOINT'], CONSTS['PYSC_DEBUG'])\n\n org_id = CONSTS['ORG_ID']\n\n # Ensure the organisation exists on the SensorCloud endpoint.\n try:\n organisation = pysc.models.Organisation.single(org_id)\n except KeyError:\n raise RuntimeWarning(\"\"\"The organisation named {:s} was not found.\\n\"\"\"\n \"\"\"Although the `pysc` api has functionality to create an organisation, it cannot \"\"\"\n \"\"\"do so on the sensor-cloud.io instance on AWS.\"\"\".format(org_id))\n # Ensure sanity, check we got the organisation that we asked for.\n assert (org_id == organisation.id)\n\n # Here we use the Group.resolve_all helper with organisation_id param to filter groups based on id\n # The resolve_all command is similar to .index() however it also calls .follow() on found link automatically,\n # _and_ it converts the resulting HAL objects into real valid `pysc` Group() objects.\n org_groups = pysc.models.Group.resolve_all(params={'organisation_id': org_id})\n # We are not likely to have more than 1000 groups, so we don't need to do return doc pagination here.\n for g in org_groups:\n group_id = g.id\n print(\"Found group: {:s}\".format(group_id))\n\n print(\"Found a total of {:d} groups for {:s} on that SensorCloud endpoint.\".format(len(org_groups), org_id))","def get_data(self):","def getStockData():\n pass","def main() -> None:\n\n download_data_tools.initial_message()\n\n # S&P 500 companies, initial year and time step\n stocks: List[str] = download_data_tools.get_stocks(['all'])\n dates: List[str] = ['1992-01', '2012-12']\n time_step: str = '1d'\n\n # Basic folders\n download_data_tools.start_folders()\n\n # Run analysis\n # Download data\n portfolio_download_data(stocks, dates, time_step)\n\n print('Ay vamos!!!')","def get_data_from_web():\n pass","def main():\n try:\n init_file = open('keywords.json', 'r')\n init_file.close()\n except IOError:\n copy2('keywords.base', 'keywords.json')\n try:\n init_file = open('rsslist.json', 'r')\n init_file.close()\n except IOError:\n copy2('rsslist.base', 'rsslist.json')\n \n\n config_file = 'config.ini'\n config_section = 'dev'\n slack_token = load_config(config_file, config_section)\n slack_client = SlackClient(slack_token)\n feed_count = len(feed_db)\n feed_counter = feed_count\n while feed_counter > 0:\n url = feed_db.get(doc_id = feed_counter)['url']\n last_update_obj = feed_db.get(doc_id = feed_counter)['lastupdate']\n post_list, published_date = getfeed(url, last_update_obj)\n feed_counter = feed_counter - 1\n print(post_list)\n post_lastUpdate(url, published_date)\n post_to_slack(slack_client, post_list)","def get_velib_data():\n api_url = \"https://api.jcdecaux.com/vls/v1/\"\n query_string = \"stations?contract=Paris&apiKey=\"\n api_key = \"ec29d3b17e5162e1459aaad45cddfe74fe832379\"\n my_url = api_url + query_string + api_key\n\n urlobj = URL.urlopen(my_url)\n data = json.load(urlobj)\n# data = urlobj.read()\n# help(data)\n return data","def test_data_source_soaps_get(self):\n pass","def main():\n\n # 1.0 DATA PREP\n\n # 1.1 Retrieve SWAPI representation of the Millenium Falcon (base)\n url = f\"{ENDPOINT}/starships\"\n params = {'search': 'falcon'}\n swapi_m_falcon = get_swapi_resource(url, params)[\"results\"][0]\n\n print(f\"\\nSWAPI = {swapi_m_falcon}\\n\")\n\n # 1.2 Read in additional Millenium Falcon data\n filepath = 'wookiee_m_falcon.json'\n wookiee_m_falcon = read_json(filepath)\n\n print(f\"\\nLocal = {wookiee_m_falcon}\\n\")\n\n # 1.3 Combine starship data dicts\n # Note: local vals replace swapi vals on matching keys\n\n # UNCOMMENT\n swapi_m_falcon.update(wookiee_m_falcon) # in-place (no assignment)\n\n print(f\"\\nCombined = {swapi_m_falcon}\\n\")\n\n\n # 2.0 WORK WITH CLASS INSTANCES\n\n # 2.1 Create Starship instance\n m_falcon = Starship(swapi_m_falcon['name'], swapi_m_falcon['url'])\n\n # 2.2 Bulk assign dictionary values to instance variables\n # assign_values() acts as a filter\n # Downside: overwrites init values\n\n #UNCOMMENT\n m_falcon.assign_values(swapi_m_falcon)\n\n print(f\"\\nm_falcon.armament = {m_falcon.armament}\\n\")\n\n # 3.0 ASSIGN CREW TO STARSHIP\n url = f\"{ENDPOINT}/people\"\n\n # 3.1 Get SWAPI Han Solo (Corellian smuggler, pilot)\n params = {'search': 'solo'}\n swapi_solo = get_swapi_resource(url, params)['results'][0]\n\n print(f\"\\nswapi_solo = {swapi_solo}\\n\")\n\n # Add instance variable values the conventional way)\n solo = Person(swapi_solo[\"name\"], swapi_solo['url']) # instantiate Person\n\n # UNCOMMENT\n solo.gender = swapi_solo['gender']\n solo.birth_year = swapi_solo[\"birth_year\"]\n solo.get_homeworld(swapi_solo[\"homeworld\"]) # fetch homeworld dict\n\n\n # 3.2 Get SWAPI Chewbacca (Wookiee, co-pilot)\n params = {'search': 'chewbacca'}\n swapi_chewie = get_swapi_resource(url, params)[\"results\"][0]\n\n print(f\"\\nswapi_chewie = {swapi_chewie}\\n\")\n\n chewie = Person(swapi_chewie[\"name\"], swapi_solo[\"url\"]) # instantiate Person\n\n # UNCOMMENT\n chewie.assign_values(swapi_chewie) # bulk assign\n chewie.get_homeworld(swapi_chewie['homeworld']) # fetch homeworld dicts\n\n # 3.3 Assign crew\n crew = {\"pilot\": solo, \"co-pilot\": chewie} # key = role (pilot), value = name\n\n # UNCOMMENT\n m_falcon.assign_crew(crew)\n\n\n # 4.0 WRITE TO FILE\n filepath = 'si506_m_falcon.json'\n\n # UNCOMMENT (fail)\n write_json(filepath, m_falcon) # raises TypeError exception\n\n # Serialize composite class instances (a complex object)\n # Implement ExtendEncoder(); reference in json.dump()\n\n # UNCOMMENT (success)\n write_complex_json(filepath, m_falcon)","def fetch_data():\n if request.method == 'GET':\n return (\"Use this endpoint with POST method to fetch data\", 200)\n elif request.method == 'POST':\n # request data\n app.logger.info(\"Requesting data\")\n data = get_data('regulatorydecision')\n\n # write to file\n app.logger.info(\"Writing to file\")\n write_to_file(data)\n\n # upload to cloud storage\n app.logger.info(\"Uploading to GCS\")\n upload_to_gcs('data.json', 'health-ca-data-staging')\n\n # publish message to pubsub\n app.logger.info(\"Publishing status message to Pubsub\")\n message = \"Data uploaded to GCS\"\n pubsub_publish('projects/health-ca-data/topics/gcs_load', message, \"\")\n\n return (\"Fetching data\", 200)","def ori_data_fbi(request):\n http = urllib3.PoolManager()\n\n\n #base_url=fbi_url(request)\n logging.Logger(base_url)\n print('I am inside the main function')\n # New request url\n request_url = base_url\n logging.Logger(request_url)\n\n\n payload = http.request('GET',\n request_url,\n headers={\n 'Content-Type': 'application/json',\n 'x-api-key': creds\n },\n fields={\n 'API_KEY':creds\n }\n )\n\n #*** only changing it for testing ***\n #return request_url\n # print(f'the type of payload is\\n {type(payload.data)}')\n print(payload.data)\n return load_into_bq(payload.data)\n #return payload.data","def fetch_data(self):","def pull_from_kvstore(helper, name, start, stats):\n resp = helper.send_http_request(\n url=_uri(helper),\n headers=_headers(helper),\n method='GET',\n verify=False,\n parameters={'query': json.dumps({'splunk_source': name})})\n resp.raise_for_status()\n\n ans = {}\n for v in resp.json():\n ans[v['indicator']] = {\n '_key': v['_key'],\n 'is_present': False,\n 'splunk_last_seen': v.get('splunk_last_seen', 0.0)}\n\n return ans","def get_data(params):\n username = params['username']\n provider = params[\"provider\"]\n quality = params[\"quality\"]\n speed = params[\"speed\"]\n vpn = params[\"vpn\"]\n platform = params[\"platform\"]\n clean = params[\"clean\"]\n date = params[\"date\"]\n interface = params[\"interface\"]\n csvmode = params[\"csvmode\"]\n path = params['path']\n output_path = './data/collected/'\n\n output_file = '{}_{}_{}_{}_{}_{}_{}_{}.csv'.format(username, provider, quality, speed, vpn, platform, clean, date)\n command = 'python3.8 {} -i {} -s {} {}'.format(path, interface, csvmode, output_file)\n os.system(command)\n \n return","def fetch_data():\n log = logging.getLogger(__name__)\n log.info('Checking data files...')\n if not os.path.isfile('CGN.txt'):\n params_cgn = {\n 'institute.code': ['NLD037'],\n # 'crops': ['tomato'],\n 'taxonomy.genus': ['Solanum', 'Lycopersicon'],\n 'taxonomy.species': species\n }\n cgn = GenesysParser(params_cgn)\n cgn.fetch2json('CGN.txt')\n log.info('CGN data has been saved.')\n else:\n log.info('CGN data file already exists.')\n\n if not os.path.isfile('USDA.txt'):\n params_usda = {\n 'institute.code': usda_all,\n # 'crops': ['tomato'],\n 'taxonomy.genus': ['Solanum', 'Lycopersicon'],\n 'taxonomy.species': species\n }\n usda = GenesysParser(params_usda)\n usda.fetch2json('USDA.txt')\n log.info('USDA data has been saved.')\n else:\n log.info('USDA data file already exists.')","def main(unused_argv):\n make_dir(FLAGS.raw_dir)\n\n # Get paths of download/extracted training and evaluation files.\n print(\"Downloading data from source\")\n train_files = get_raw_files(FLAGS.raw_dir, constants.TRAIN_DATA_SOURCES)\n eval_files = get_raw_files(FLAGS.raw_dir, constants.EVAL_DATA_SOURCES)","def main():\n if len(sys.argv) != 3:\n print(\"Usage: python season-get [year] [season, lowercase]\")\n return None\n\n year = sys.argv[1]\n season = sys.argv[2]\n print(\"Pulling from API\")\n\n API_url = \"http://api.jikan.moe/season/{}/{}\".format(year, season)\n\n # Error checking\n try:\n data = urllib.request.urlopen(API_url)\n except urllib.error.URLError as e:\n print(\"Error - {}\".format(e))\n return None\n print(\"Complete!\\n\")\n\n result = json.loads(data.read())['season']\n\n print(\"Loading IDs\")\n target_name = '{}-{}.txt'.format(year, season)\n target = open('./input/{}'.format(target_name), 'w')\n\n for anime in result:\n target.write(str(anime['mal_id']) + '\\n')\n print(\"Complete!\\n\")","def retrieve_data(args):\n if args.model is None:\n error_exit(\"--model is required for retrieve!\")\n if args.grid_type is None:\n error_exit(\"--grid_type is required for retrieve!\")\n if args.init_time is None:\n error_exit(\"--init-time is required for retrieve!\")\n if args.variable is None:\n error_exit(\"--variable is required for retrieve!\")\n if args.level_type is None:\n error_exit(\"--level-type is required for retrieve!\")\n if args.levels is None:\n error_exit(\"--levels is required for retrieve!\")\n if args.lead_time is None:\n error_exit(\"--lead-time is required for retrieve!\")\n if args.dest is None:\n error_exit(\"--dest is required for retrieve!\")\n if not os.path.exists(args.dest):\n error_exit(f\"path not found: {args.dest}\")\n if not os.path.isdir(args.dest):\n error_exit(f\"path is not a directory: {args.dest}\")\n try:\n files = retrieve_nwp(model=args.model,\n grid_type=args.grid_type,\n variable=args.variable,\n level_type=args.level_type,\n levels=args.levels,\n init_time=args.init_time,\n forecast_hour=args.lead_time,\n dest=args.dest,\n merge_files=args.merge)\n for one_file in files:\n logging.info(f\"downloaded: {one_file}\")\n except ValueError as ve:\n error_exit(str(ve))","def do_GET(s):\r\n print \"processing get request...\"\r\n s.send_response(200)\r\n s.send_header(\"Content-type\", \"application/json\")\r\n s.send_header(\"Access-Control-Allow-Origin\", \"*\")\r\n s.end_headers()\r\n\r\n inputUrl = s.path\r\n\r\n print \"####INPUT########\"\r\n print inputUrl\r\n print \"#####INPUT#######\"\r\n\r\n try:\r\n index = string.index(inputUrl, \"url=\") + 4\r\n urlParam = inputUrl[index:]\r\n print \"url request: \" + urlParam\r\n response = urllib.urlopen(urlParam).read()\r\n s.wfile.write(response)\r\n except:\r\n print \"no url specified\"\r\n\r\n try:\r\n index = string.index(inputUrl, \"random\") + 6\r\n randomParam = inputUrl[index:]\r\n scientists = open(\"C:\\Users\\ASUS 1\\Documents\\GitHub\\girlsWhoCode\\womenScientists\\women_scientists.txt\", 'r').readlines()\r\n size = len(scientists)\r\n fileIndex = random.randint(0, size)\r\n scientist = scientists[fileIndex]\r\n print \"random request returning: \" + scientist\r\n response = json.dumps(scientist)\r\n s.wfile.write(response)\r\n\r\n except Exception as e:\r\n print e.message\r\n print \"no female scientist requested\"\r\n\r\n try:\r\n index = string.index(inputUrl, \"wiki=\") + 5\r\n scientistParam = inputUrl[index:]\r\n scientist = ' '.join(scientistParam.split(\"%20\"))\r\n print \"wiki request for \" + scientist\r\n page = wikipedia.page(scientist)\r\n summary = page.summary\r\n response = json.dumps(summary)\r\n s.wfile.write(response)\r\n except:\r\n print \"no wiki request\"","def main():\n # Create the flow\n with Flow('pickle flow') as flow:\n db_table = create_table()\n weather_data = get_weather(LAT_NYC, LON_NYC, 2018)\n parsed_data = parse_weather(weather_data)\n populated_table = store_weather(parsed_data)\n populated_table.set_upstream(db_table)\n\n # Run the flow\n flow.run()","def _get_soundcloud_data(self):\n self.title, self.stream_url = get_track_info(self.URL)","def main():\n spark = create_spark_session()\n\n input_data = config['STORAGE']['INPUT_DATA']\n output_data = config['STORAGE']['OUTPUT_DATA']\n\n process_song_data(spark, input_data, output_data)\n process_log_data(spark, input_data, output_data)","def get_fred_data(url):\n pass","def main():\n pods = openshift_object.get_running_pods()\n me = openshift_object.get_self()\n routes = openshift_object.get_routes()\n nodes = openshift_object.get_nodes()\n pvc = openshift_object.get_pvcs()\n pv = openshift_object.get_pv()\n project = openshift_object.get_projects()\n return jsonify({\n \"pods\": pods,\n \"me\": me,\n \"routes\": routes, \n \"nodes\":nodes,\n \"pvcs\":pvc,\n \"pv\":pv,\n \"projects\":project})","def main():\n spark = create_spark_session()\n input_data = \"s3a://udacity-dend/\"\n output_data = \"data/analytics\"\n \n process_song_data(spark, input_data, output_data) \n process_log_data(spark, input_data, output_data)","def getInitialData(nsmapi):\r\n # Done 6-1-2020\r\n # TODO extract ids not using the regex?\r\n initData = {}\r\n\r\n url = f\"/healthcheck\"\r\n print(\"Running basic healthcheck\")\r\n healthcheckData = nsmapi.call(url, method=\"PUT\", message='{\"id\":[\"default\"]}')\r\n initData[\"healthcheck\"] = healthcheckData\r\n\r\n for i in range(20):\r\n print(f\".\", end=\"\", flush=True)\r\n time.sleep(.5)\r\n print(\"\")\r\n\r\n print(\"Getting initial sensor data\")\r\n url = \"/sensors\"\r\n basicData = json.dumps(nsmapi.call(url))\r\n dataType = url[1:].replace(\"/\", \"_\")\r\n initData[dataType] = []\r\n for id in re.findall(\"\\\"sensorId\\\":.*?, \\\"name\\\":.*?,\", basicData):\r\n if id[-1] == \",\":\r\n id = id[:-1]\r\n id = id.replace(\"\\\"\", \"\")\r\n id = id.replace(\": \", \":\")\r\n num, name = id.split(\",\")\r\n num = num.split(\":\")[-1]\r\n name = name.split(\":\")[-1]\r\n idName = f\"{num},{name}\"\r\n initData[dataType].append(idName)\r\n\r\n print(\"Getting initial domain data\")\r\n url = \"/domain\"\r\n basicData = json.dumps(nsmapi.call(url))\r\n dataType = url[1:].replace(\"/\", \"_\")\r\n initData[dataType] = []\r\n for id in re.findall(\"\\\"id\\\":.*?, \\\"name\\\":.*?,\", basicData):\r\n if id[-1] == \",\":\r\n id = id[:-1]\r\n id = id.replace(\"\\\"\", \"\")\r\n id = id.replace(\": \", \":\")\r\n num, name = id.split(\",\")\r\n num = num.split(\":\")[-1]\r\n name = name.split(\":\")[-1]\r\n idName = f\"{num},{name}\"\r\n initData[dataType].append(idName)\r\n\r\n policyURLs = [\r\n \"/domain/{domainId}/ipspolicies\",\r\n \"/domain/{domainId}/firewallpolicy\",\r\n \"/domain/{domainId}/connectionlimitingpolicies\",\r\n \"/domain/{domainId}/qospolicy\",\r\n \"/protectionoptionspolicy\",\r\n \"/domain/{domainId}/malwarepolicy\",\r\n \"/domain/{domainId}/policygroups\"\r\n ]\r\n\r\n print(\"Getting initial policy data\")\r\n initData[\"policy\"] = {}\r\n for domain in initData[\"domain\"]:\r\n domainId, domainName = domain.split(\",\")\r\n initData[\"policy\"][domainId] = {}\r\n for url in policyURLs:\r\n url = url.replace(\"{domainId}\", domainId)\r\n policyData = nsmapi.call(url)\r\n key = list(policyData.keys())[0]\r\n policyType = url.split(\"/\")[-1].replace(\"policy\", \"\").replace(\"policies\", \"\")\r\n initData[\"policy\"][domainId][policyType] = []\r\n for policy in policyData[key]:\r\n policy = json.dumps(policy)\r\n # pattern = \"\\\"([^\\\"]*?)(id|ID|iD|Id){0,1}(name){0,1}\\\": (.*?),\" - don't seem to work\r\n # extracted = re.findall(pattern, policy) - don'tens seem to works\r\n # initData[\"policy\"][domainId][policyType][\"full\"] = policy\r\n for polK, polV in json.loads(policy).items():\r\n if \"omain\" not in polK.lower():\r\n if \"name\" in polK.lower():\r\n name = polV\r\n elif \"id\" in polK.lower():\r\n id = polV\r\n initData[\"policy\"][domainId][policyType].append((id,name))\r\n\r\n print(\"Got Initial Data\")\r\n\r\n return initData","def test():\n temp_data = fetch_temp_data(\n (\"https://opendata-download-metobs.smhi.se/api/version/\" +\n \"latest/parameter/1/station/52350/period/latest-day/data.json\"))\n data = temp_series(temp_data)\n print(data)","def main(args):\n\n if args['verbose']:\n logging.basicConfig(level=logging.DEBUG)\n else:\n if args['quiet']:\n logging.basicConfig(level=logging.ERROR)\n else:\n logging.basicConfig(level=logging.WARNING)\n\n # unpack args\n\n json_file = args['JSONfile']\n data_dir = args['data_directory']\n temp_file = args['tmp']\n release = args['release']\n\n if json_file:\n json_data = get_json_data(json_file)\n else:\n logging.log(logging.DEBUG, \"Preparing to download JSONfile\")\n if os.path.isfile(temp_file):\n logging.log(logging.WARNING, \"Removing file %s\" % temp_file)\n os.remove(temp_file)\n logging.log(logging.DEBUG, \"Issuing wget for JSON file\")\n args = ['wget', 'https://security-tracker.debian.org/tracker/data/json',\n '-O', temp_file]\n if os.path.isdir('/etc/ssl'):\n if os.path.isdir('/etc/ssl/ca-debian'):\n args.insert(1, '--ca-directory=/etc/ssl/ca-debian')\n call(args)\n logging.log(logging.DEBUG, \"File %s received\" % temp_file)\n json_data = get_json_data(temp_file)\n if os.path.isfile(temp_file):\n logging.log(logging.DEBUG, \"Removing file %s\" % temp_file)\n os.remove(temp_file)\n\n parseJSON(json_data, release)\n parsedirs(data_dir, re.compile('^dsa.+\\.data$'), 2, release)\n parsedirs(data_dir, re.compile('^dla.+\\.data$'), 2, release)\n logging.log(logging.INFO, \"Finished parsing JSON data\")\n printdsas(ovals)","def main():\n remote_folder = '/s3mnt/carla-rl/outputs'\n local_folder = '/home/jeremy/Insight/Project'\n dns = get_publicdns()\n\n print(\"fetching data from server...\")\n os.system('rsync=$(/home/jeremy/.scripts_custom/rsync_pull_aws \\\n ubuntu@{} {} {})'.format(dns, remote_folder,\n local_folder))\n print(\"pulled from {} to {}\".format(remote_folder,\n local_folder))","def main():\n print('<<< Spotify Parser >>>')\n print('-'*101)\n spotify_api.get_json_file(JSON_TRACK_FILE, TRACK, 'track', CLIENT_ID, CLIENT_SECRET)\n parse_json_track(JSON_TRACK_FILE)\n print('-'*101)\n spotify_api.get_json_file(JSON_ARTIST_FILE, ARTIST, 'artist', CLIENT_ID, CLIENT_SECRET)\n parse_json_artist(JSON_ARTIST_FILE)\n print('-'*101)","def download():\r\n reader = GSODDataReader()\r\n year_list = range(2001, 2012)\r\n austin = reader.collect_data(year_list, exact_station=True,\r\n station_name='AUSTIN CAMP MABRY', state='TX', country='US')\r\n houston = reader.collect_data(year_list, exact_station=True,\r\n station_name='HOUSTON/D.W. HOOKS', state='TX', country='US')\r\n new_york = reader.collect_data(year_list, exact_station=True,\r\n station_name='NEW YORK/LA GUARDIA', state='NY', country='US')\r\n newark = reader.collect_data(year_list, exact_station=True,\r\n station_name='NEWARK INTL AIRPORT', state='NJ', country='US')\r\n punta_arenas = reader.collect_data(year_list, exact_station=True,\r\n station_name='PUNTA ARENAS', country='CH')\r\n wellington = reader.collect_data(year_list, exact_station=True,\r\n station_name='WELLINGTON AIRPORT', country='NZ')\r\n store = HDFStore('weather.h5')\r\n store['austin'] = austin\r\n store['houston'] = houston\r\n store['nyc'] = new_york\r\n store['newark'] = newark\r\n store['punta_arenas'] = punta_arenas\r\n store['wellington'] = wellington\r\n store.close()","def main():\n # First grab data from db\n engine = create_engine(\"sqlite:///cities.db\")\n session = Session(bind=engine)\n # Grab all data from flat stats table\n query = session.query(FlatStat).all()\n\n X = transform_to_np_array(query)\n\n # Run dbscan now\n results = DBSCAN(eps=2, min_samples=10).fit(X)\n\n # TODO: get matplotlib in here, but for now, just print all properties of dbscan\n print(results.__dict__)","def main():\n #Set up objects\n client = BigQueryClient()\n writer = FileWriter()\n\n #Send data from big query to a given file.\n # 500 is the limit of data points fetched.\n client.produce_json_data(writer, 500)","def fetch_zenodo(self):\n\n # full path to the stitches root directory where the example dir will be stored\n if self.data_dir is None:\n data_directory = pkg_resources.resource_filename('stitches', 'data')\n else:\n data_directory = self.data_dir\n\n # build needed subdirectories if they do not already exist\n tas_data_path = os.path.join(data_directory, \"tas-data\")\n temp_data_path = os.path.join(data_directory, \"temp-data\")\n if not os.path.exists(tas_data_path):\n os.mkdir(tas_data_path)\n if not os.path.exists(temp_data_path):\n os.mkdir(temp_data_path)\n\n # get the current version of stitches that is installed\n current_version = pkg_resources.get_distribution('stitches').version\n\n try:\n data_link = InstallPackageData.DATA_VERSION_URLS[current_version]\n\n except KeyError:\n msg = f\"Link to data missing for current version: {current_version}. Using default version: {InstallPackageData.DEFAULT_VERSION}\"\n\n data_link = InstallPackageData.DEFAULT_VERSION\n\n print(msg)\n\n # retrieve content from URL\n print(\"Downloading example data for stitches version {}. This may take a few minutes...\".format(current_version))\n response = requests.get(data_link)\n\n with zipfile.ZipFile(BytesIO(response.content)) as zipped:\n\n # extract each file in the zipped dir to the project\n for f in zipped.namelist():\n\n extension = os.path.splitext(f)[-1]\n\n # Extract only the csv and nc files\n if all([len(extension) > 0, extension in (\".csv\", \".nc\")]):\n\n basename = os.path.basename(f)\n\n # Check to see if tas-data is in the file path\n if \"tas-data\" in f:\n basename = os.path.join(\"tas-data\", basename)\n\n out_file = os.path.join(data_directory, basename)\n\n # extract to a temporary directory to be able to only keep the file out of the dir structure\n with tempfile.TemporaryDirectory() as tdir:\n\n # extract file to temporary directory\n zipped.extract(f, tdir)\n\n # construct temporary file full path with name\n tfile = os.path.join(tdir, f)\n\n print(f\"Unzipped: {out_file}\")\n # transfer only the file sans the parent directory to the data package\n shutil.copy(tfile, out_file)","def sourcenews(source):\n\turlnews=urlsource\n\turl=urlnews+source\n\turlapi=url+'&'+'apiKey='\n\turlsour=urlapi+apikey\n\tresponse=requests.get(urlsour)\n\tdata=response.json()\n\treturn data","def main():\n query_dp = SampleQueryDataPointsPredicate()\n query_dp.run()","def GetData(self):\r\n if self.Error == False:\r\n Extra = {}\r\n try:\r\n result = {}\r\n temp = self.ScrapeMainWebpage()\r\n if temp != None:\r\n result.update(temp)\r\n temp = self.ScrapeParameters1Webpage()\r\n if temp != None:\r\n result.update(temp)\r\n temp = self.ScrapeParameters2Webpage()\r\n if temp != None:\r\n result.update(temp)\r\n temp = self.ScrapeStatusWebpage()\r\n if temp != None:\r\n result.update(temp)\r\n sqlArray = {}\r\n sqlArray[self.deviceDescr] = {}\r\n sqlArray[self.deviceDescr][self.devNumber] = {}\r\n sqlArray[self.deviceDescr][self.devNumber][\"General\"] = result\r\n sqlArray[self.deviceDescr][self.devNumber][\"_ExtractInfo\"] = {}\r\n sqlArray[self.deviceDescr][self.devNumber][\"_ExtractInfo\"][\"ExtractTime\"] = time.time()\r\n sqlArray[\"ReadError\"] = False \r\n return sqlArray\r\n \r\n except Exception as e: \r\n self.log.printError(\"ERROR in Retreiving Seatel VSAT Data,%s Module Error\" % sys._getframe().f_code.co_name) \r\n self.log.printError( str(e))\r\n self.Error = True\r\n Extra[\"ReadError\"] = True\r\n return Extra\r\n else:\r\n self.log.printWarning(\"%s skipped due to previous failure\" % sys._getframe().f_code.co_name)\r\n return None","def main():\n spark = create_spark_session()\n input_data = \"s3a://udacity-dend/\"\n output_data = \"s3a://udacity-data-lake/output/\"\n\n process_song_data(spark, input_data, output_data)\n process_log_data(spark, input_data, output_data)","def main():\n\n # Start and import data\n print('>>>>> START')\n dates, prices, price_diff = get_data('data.csv')\n indices = [i for i in range(0, len(prices))]\n \n # Quick filtering to enable good visualization\n # This section can be commented if wished\n delete_outlayers(dates, price_diff)\n delete_outlayers(prices, price_diff)\n delete_outlayers(indices, price_diff)\n price_diff.remove(max(price_diff))\n price_diff.remove(min(price_diff))\n print('>>>>> STATUS: DATA FORMATTING DONE')\n\n # Model and prediction\n predicted_price = predict_price(indices, dates, price_diff, 1829)\n print('RESULTING PREDICTION = ', (predicted_price * -1) + prices[0])\n print('>>>>> DONE')","def get_sdata(self):\n payload = self.get('data_request?id=sdata&output_format=json')\n return payload","def on_get(self, req, resp):\n sample = load_data()\n\n print(sample.base.describe())\n resp.status = falcon.HTTP_200\n\n frame_str = str(sample.base.describe()) + \"\\n\"\n resp.body = frame_str\n # resp.body = sample.base.describe()","def process_cmd():\n web_scraper = SainsburyWebscraper()\n logger.info(\"Sainsbury web scraper initialized and loaded data from SainsburyWebscraper\")\n\n json_data = web_scraper.get_product_data()\n logger.info(\"Found %s products with the following data:\" % len(json_data[\"results\"]))\n print json.dumps(json_data, indent=4, sort_keys=True)","def _fetch_data(self, samples):\n pass","def feed() -> None:\n ...","def main() -> None:\n ROOT_DIR = dirname(abspath(__file__))\n spark = create_spark_session()\n input_data = 's3a://udacity-dend/'\n output_data = ROOT_DIR + '/data/'\n\n process_song_data(spark, input_data, output_data)\n process_log_data(spark, input_data, output_data)","def main():\n\n print(\"Initiating Spark session...\")\n print('-' * 50)\n spark = create_spark_session()\n \n # Use these settings if you want to test on the full\n # dataset, but it takes a LONG time.\n song_input_data = config['AWS']['SONG_DATA']\n log_input_data = config['AWS']['LOG_DATA']\n \n # Uncomment the two lines if you want to test on\n # minimal data\n #song_input_data = config['AWS']['SINGLE_SONG_DATA']\n #log_input_data = config['AWS']['SINGLE_LOG_DATA']\n \n output_data = config['AWS']['OUTPUT_DATA']\n \n print('-' * 50)\n print(\"Processing song data...\")\n print('-' * 50)\n print('')\n process_song_data(spark, song_input_data, output_data)\n \n print('-' * 50) \n print(\"Processing log data...\")\n print('-' * 50)\n print('')\n process_log_data(spark, song_input_data, log_input_data, output_data)","def _fetch_data(self):\n pass","def get_data(self):\n pass","def get_data(self):\n pass","def main():\n spark = create_spark_session()\n input_data = \"s3a://udacity-dend/\"\n output_data = \"s3a://udacity-nanodegree-data-engineer/\"\n \n process_song_data(spark, input_data, output_data) \n process_log_data(spark, input_data, output_data)","def get():","def get():","def main():\n right_now = get_current_datetime()\n # print(right_now)\n existing_dict, unique_exist = get_sensor_dict()\n # print(type(existing_dict))\n # print()\n # print(sorted(unique_exist))\n whats_up_list = query_the_api()\n # print(whats_up_list)\n found = filter_json(whats_up_list)\n # print(found)\n lost_new_stillthere(sorted(unique_exist), found, existing_dict, right_now)","def main():\n\n with open(\".auth_token\", mode=\"r\") as tokenfile:\n authtoken = tokenfile.read().strip()\n\n # Initialize connection to Archivist\n aconn = Archivist(\n \"https://soak-0-avid.engineering-k8s-stage-2.dev.wild.jitsuin.io\",\n auth=authtoken,\n )\n # Get all assets with required attributes and properties\n props = {\"confirmation_status\": \"CONFIRMED\"}\n attrs = {\"arc_display_type\": \"Traffic light\"}\n for event in aconn.events.list(asset_id=\"assets/-\", props=props, attrs=attrs):\n print(\"event\", event)\n\n # alternatively one could pull the list and cache locally...\n events = aconn.events.list(asset_id=\"assets/-\", props=props, attrs=attrs)\n for event in events:\n print(\"event\", event)","def main(self):\n question = Parser(self.question)\n latitude = 0\n longitude = 0\n address = \"Bonjour, je vais bien merci !\"\n history = self._get_papy_sentence()\n article_title = \"\"\n location = question.get_location()\n google = GoogleApi(location, self.google_key)\n google_response = google.parse()\n if question.get_verification():\n latitude = google_response['latitude']\n longitude = google_response['longitude']\n address = google_response['address']\n if google_response['status'] == \"OK\":\n wiki = WikiApi(google_response['latitude'],\n google_response['longitude'])\n wiki_response = wiki.parse()\n if wiki_response['status'] == \"OK\":\n history = wiki_response['history']\n article_title = wiki_response['article_title']\n\n self.response_grandpy = {\n 'latitude': latitude,\n 'longitude': longitude,\n 'address': address,\n 'history': history,\n 'article_title': article_title\n }\n return self.response_grandpy","def main(self):\n\n args = self.parser.parse_args()\n # Little magic/abomination to avoid a if-else\n # funct == search_all or search_any\n funct = getattr(self, \"search_\" + args.search_funct) \n cache_file_path = self.get_cache_file_path()\n\n # If cache is missing or user asked to force an update\n # then scrape the wiki\n if not os.path.isfile( cache_file_path ) or args.update:\n self.data_values = WikiTableScraper().scrapeTables()\n pickle.dump( self.data_values, open( cache_file_path, \"wb\" ) )\n # else load the minecraft objects from cache\n else:\n self.data_values = pickle.load( open( cache_file_path, \"rb\" ) )\n\n # call the search function (will return list of ids)\n for k in funct(args.words):\n print k.ljust(4), # Don't print a newline\n # Don't print the name if user requested only id's\n if not args.only_id:\n print self.data_values[k],\n print # print the newline now","def get_data():\n log = common.LogFile('', LOGFILE)\n settings = load_settings()\n keywords = settings[\"keywords\"]\n api_key = settings[\"api_key\"]\n for keyword in keywords:\n print(\"[{}] : fetching data.\".format(keyword))\n filename = \"results_{0}.json\".format(keyword)\n results = {}\n hits_limit = 500\n start_at = 1\n counter = 0\n while True:\n url = create_url(keyword, hits_limit, start_at, api_key)\n records = get_records_from_url(url)\n total_results = get_total_hits(records)\n records = split_records(records)\n records_on_page = len(records)\n if records_on_page == 0:\n break\n else:\n for record in records:\n counter += 1\n id_no = extract_id_number(record)\n processed_dict = {'ID': id_no, 'problem': []}\n processed_record = parse_record(\n record, processed_dict, log)\n if id_no not in results:\n results[id_no] = processed_record\n if counter % 100 == 0:\n print(\"Processed {} out of {}\".format(\n counter, total_results))\n start_at += hits_limit\n time.sleep(THROTTLE)\n print(\"[{}] : fetched {} records to {}.\".format(\n keyword, len(results), filename))\n save_data(results, filename)","def apicall():\r\n# try:\r\n print request.get_json()\r\n test_json = request.get_json()\r\n logger.info(\"input json object loaded\")\r\n logger.info(test_json)\r\n k=MetaData(test_json)\r\n int_res=k.getData()\r\n print '------------------------------'\r\n print int_res\r\n return jsonify(int_res)","def main(self, name):\n\t\tapi_results = [] \n\t\tparams = self.get_search_parameters(name)\n\t\tapi_results.append(self.api_connect(params))\n\t\ttime.sleep(1.0)\n\t\tkey = api_results[0]['businesses'][0]\n\t\tbusiness_information = [key['name'], self.phone_number_organizer(key), key['rating'],\\\n\t\tkey['review_count']]\n\t\treturn business_information","def main():\n\n # generate a token, we will be sending several queries off\n token = gen_token()\n # build the query string\n s_d, e_d = prev_quarter_boundaries(datetime.datetime.utcnow())\n s_str = s_d.strftime(\"%Y-%m-%d\")\n e_str = e_d.strftime(\"%Y-%m-%d\")\n query_str = (\n 'filingsource:\"Taiwan TWSE\" AND ' +\n 'enddate:[' + s_str + ' TO ' +\n e_str + ']'\n )\n # pull docs\n docs_res = documents_stringquery(query_str, False, token=token)\n # read out number of hits\n num_filings = docs_res['totalHits']\n # print it out\n print('Filing count from last quarter: ' + str(num_filings))","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument(\"datafile\", help=\"Name of JSON file containing WP3-mapped metadata\")\n parser.add_argument(\"csvfile\", help=\"Corrected CSV file\")\n parser.add_argument(\"vcffile\", help=\"VCF file with samples\")\n args = parser.parse_args()\n\n samples = vcf_samples(args.vcffile)\n\n with open(args.datafile, 'r') as infile:\n data = json.load(infile)\n\n if not data:\n print(f\"Error reading data file {args.datafile}.\", file=sys.stderr)\n return\n\n with open(args.csvfile, newline='') as csvfile:\n reader = csv.DictReader(csvfile)\n for idx, row in enumerate(reader):\n data[idx][\"physiologicalMeasurements\"][\"anthropometry\"][\"weight\"] = [str(float(row['birth_weight_g'])/1000.), row['sbjt_weight_kg']]\n data[idx][\"physiologicalMeasurements\"][\"anthropometry\"][\"height\"] = [row['height_cm'], row['sbjt_length_cm']]\n data[idx][\"physiologicalMeasurements\"][\"circulationAndRespiration\"][\"bloodPressure\"] = [row['sbjt_blood_pressure_systolic']]\n if len(samples) > idx:\n data[idx][\"sample\"] = samples[idx]\n\n print(json.dumps(data))","def main():\n # Take login credentials from the command line if provided\n # Otherwise, take them from your environment variables file ~/.profile\n description = ('Simple application that logs on to the APIC'\n ' and displays all of the Subnets.')\n creds = Credentials('apic', description)\n creds.add_argument('--tenant', help='The name of Tenant')\n args = creds.get()\n\n # Login to APIC\n session = Session(args.url, args.login, args.password)\n resp = session.login()\n if not resp.ok:\n print('%% Could not login to APIC')\n\n # Download all of the tenants, app profiles, and Subnets\n # and store the names as tuples in a list\n tenants = Tenant.get(session)\n for tenant in tenants:\n check_longest_name(tenant.name, \"Tenant\")\n if args.tenant is None:\n get_subnet(session, tenant)\n else:\n if tenant.name == args.tenant:\n get_subnet(session, tenant)\n\n # Display the data downloaded\n template = '{0:' + str(longest_names[\"Tenant\"]) + '} ' \\\n '{1:' + str(longest_names[\"Bridge Domain\"]) + '} ' \\\n '{2:' + str(longest_names[\"Subnet\"]) + '} ' \\\n '{3:' + str(longest_names[\"Scope\"]) + '}'\n print(template.format(\"Tenant\", \"Bridge Domain\", \"Subnet\", \"Scope\"))\n print(template.format('-' * longest_names[\"Tenant\"],\n '-' * longest_names[\"Bridge Domain\"],\n '-' * longest_names[\"Subnet\"],\n '-' * longest_names[\"Scope\"]))\n for rec in sorted(data):\n print(template.format(*rec))","def get_data(self):\r\n pass","def fetch_inspect_data(filename, output, db_url=None):\n r2dt.write_training_data(filename, db_url, output)","def main():\n data = get_sales_data()\n sales_data = [int(num) for num in data]\n update_worksheet(sales_data, 'sales')\n new_surplus_data = calculate_surplus_sandwiches(sales_data)\n update_worksheet(new_surplus_data, 'surplus')\n list_of_last_five_sales = get_last_five_sales_entries()\n stock_data = get_average_sales(list_of_last_five_sales)\n update_worksheet(stock_data, 'stock')\n return stock_data","def main():\n with requests.get(API_URL) as response:\n response.raise_for_status()\n data = response.json()\n\n title = data[\"title\"]\n extract = data[\"extract\"]\n\n click.secho(title, fg=\"green\")\n click.echo(textwrap.fill(extract))","def main():\n #bearer_token = obtain_bearer_token(API_HOST, TOKEN_PATH)\n bearer_token ='SHdrjUqMJXqXBKUc7bGIplM8y6tnbwZbXXDbWPCd9wWMP8tX9PdJrC5MZHwJRhb7jMtLjXxT-hsWjNf2OkdiDWd30HsS84AVI5iRnrpxkak3HbWXAdUKvraQ_wgXWXYx'\n response = transaction_search(bearer_token, '1910 Entrepreneur Dr, Raleigh, NC 27518')\n response = response.get('businesses')\n print(json.dumps(response, indent=4))","def retrieve(self, sid):\n zx = \"\".join([chr(random.randint(97,122)) for i in xrange(0, 11)])\n resdat = wavehttp.get(\"wave.google.com\", \n \"/wave/wfe/channel?VER=6&RID=rpc&SID=\"+sid+\n \"&CI=0&AID=0&TYPE=xmlhttp&zx=\"+zx+\"&t=1\").read()\n file(\"./tempdata\",\"w+\").write(resdat)\n print resdat","def execute(self):\n logging.info(\"Gathering scorecard data for [%s]\", str(self.package_url))\n\n source_repo = self.get_source_repository()\n if not source_repo:\n return\n\n token = self.get_api_token(\"github\")\n if not token:\n logging.warning(\"Unable to retrieve Github token.\")\n return\n\n try:\n result = subprocess.run(\n f'docker run --rm -it --env \"GITHUB_AUTH_TOKEN={token}\" docker.io/library/scorecard --repo={source_repo} --format json',\n shell=True,\n stdout=subprocess.PIPE,\n )\n scorecard_output = result.stdout.decode(\"utf-8\")\n scorecard_output = scorecard_output[scorecard_output.find(\"{\") :]\n js = json.loads(scorecard_output)\n\n payloads = []\n\n for check in js.get(\"Checks\", []):\n check_name = check.get(\"CheckName\", \"\").lower().strip()\n if not check_name:\n continue\n pass_value = str(check.get(\"Pass\", False)).lower()\n\n payload = {\n \"package_url\": str(self.package_url),\n \"operation\": \"replace\",\n \"key\": f\"openssf.scorecard.raw.{check_name}\",\n \"values\": [{\"value\": pass_value, \"properties\": check}],\n }\n payloads.append(payload)\n\n res = requests.post(self.METRIC_API_ENDPOINT, json=payloads, timeout=120)\n if res.status_code == 200:\n logging.info(\"Success: %s\", res.text)\n else:\n logging.warning(\"Failure: status code: %s\", res.status_code)\n\n except Exception as msg:\n logging.warn(\"Error processing Scorecard data: %s\", msg)\n raise","def get_input_data(sample):\n with checkpoints.query_portal.get(sample=sample).output[0].open() as f:\n data = json.read(f)\n return data","def extract_data():\n args = arguments()\n\n if args.list is not None:\n songs = utility.get_songs(args.list)\n logger.debug(str(songs))\n if len(songs) != 0:\n logger.info(\"Downloading songs in {}\".format(args.list))\n for song_name in songs:\n logger.debug(song_name)\n args.SONG_NAME = [song_name]\n main(args)\n else:\n logger.info(\"{}: is empty\".format(args.list))\n elif args.SONG_NAME and yt.is_playlist(args.SONG_NAME[0]):\n logger.info(\"Youtube playlist passed...extracting!\")\n songs, playlist_name = yt.get_playlist(\n args.SONG_NAME[0],\n args.proxy,\n args.pl_start,\n args.pl_end,\n args.pl_items\n )\n\n # Check if data is actually returned\n if songs is None:\n logger.error(\"Couldn't extract playlist data!\")\n\n logger.info(\"Playlist: {}\".format(playlist_name))\n logger.info(\"{} songs found\".format(len(songs)))\n\n # Iterate and work on the data.\n url_base = \"https://www.youtube.com/watch?v=\"\n for song in songs:\n args.url = url_base + song[\"url\"]\n\n # Try to pass the title as well, if it's not there\n # that will be handled by ytmdl\n try:\n args.SONG_NAME = [stringutils.remove_yt_words(song[\"title\"])]\n except KeyError:\n pass\n\n main(args)\n else:\n main(args)","def main():\n # the url for african daily and global daily\n african_dialy_url = \"https://data.chc.ucsb.edu/products/CHIRPS-2.0/africa_daily/tifs/p25/\"\n global_daily_url = \"https://data.chc.ucsb.edu/products/CHIRPS-2.0/global_daily/tifs/p25/\"\n\n\n each_year_list = GetRasterYears(url=african_dialy_url)\n new_path = makenewdir(each_year_list)\n years_new_list = fecthrasterurl(url=african_dialy_url)\n downloadwithwget(each_year_list, years_new_list, new_path)","def get_filters():\n print('Hello! Let\\'s explore some US bikeshare data!')","def main():\r\n args = get_command_line_args()\r\n settings = read_settings(args)\r\n \r\n census_api_key = settings['census_api_key']\r\n state = settings['state']\r\n district = settings['district']\r\n leg_body = settings['leg_body']\r\n census_year = settings['census_year']\r\n election_year = settings['election_year']\r\n voting_precincts_file = settings['voting_precincts']\r\n voting_results_file = settings['voting_results']\r\n \r\n find_blockgroups_in_district(\r\n state=state,\r\n district=district,\r\n leg_body=leg_body,\r\n year=census_year\r\n )\r\n\r\n categories, district_data = make_district_data(\r\n api=census_api_key,\r\n state=state,\r\n district=district,\r\n leg_body=leg_body,\r\n year=census_year\r\n )\r\n\r\n # Estimate voting precinct data based on block group data\r\n district_data = make_voting_precinct_data(\r\n district_data=district_data, \r\n categories=categories,\r\n state=state,\r\n district=district,\r\n leg_body=leg_body,\r\n year=census_year,\r\n voting_precincts_file=voting_precincts_file\r\n )\r\n\r\n categories, district_data = make_voting_results_data(\r\n categories=categories, \r\n district_data=district_data, \r\n state=state, \r\n district=district, \r\n leg_body=leg_body, \r\n election_year=election_year,\r\n census_year=census_year,\r\n voting_precincts_file=voting_precincts_file, \r\n voting_results_file=voting_results_file\r\n )\r\n\r\n to_json(district_data, \"static/data/district-data.json\")\r\n to_json(categories, \"static/data/categories.json\")","def main():\n parser = argparse.ArgumentParser()\n parser.add_argument('--allData', default='', action='store', nargs='+',\n help=\"add train test validation dataset together\")\n parser.add_argument('--topic', default='', help=\"target topic\")\n parser.add_argument('--contentWordNumber', default='', help=\"threshold for content Word Number\")\n parser.add_argument('--returnNSents', default='', help=\"top N sentences\")\n\n args = parser.parse_args()\n data = loadData(args.allData, args.topic, args.contentWordNumber)\n allDataDic, targetTweets = data.readData()\n \"\"\"\n ##modify at def_processing, re-run below line##\n outputDB = data.processing(allDataDic)\n with open(ROOT.DATA_ROOT+'/'+'allDataDic.txt', 'w') as file:\n file.write(json.dumps(outputDB))\n \"\"\"\n\n targData = data.processing(targetTweets)\n outputDB = json.load(open(ROOT.DATA_ROOT + '/allDataDic.txt'))\n contentWords = data.tfidf(outputDB, targData)\n return targetTweets,targData, contentWords","def executeScriptToGetData():\n ulv = random.randrange(42, 420)\n llv = random.randrange(42, 420)\n urv = random.randrange(42, 420)\n lrv = ulv + llv + urv\n return {\n 'title': random.choice(['Sensors title', None]),\n 'description': random.choice(['Sensors description', None]),\n 'big-value': random.randrange(214, 514),\n 'upper-left-label': 'Critical:',\n 'upper-left-value': ulv,\n 'lower-left-label': 'Major:',\n 'lower-left-value': llv,\n 'upper-right-label': 'Minor:',\n 'upper-right-value': urv,\n 'lower-right-label': 'All:',\n 'lower-right-value': lrv\n }","def get_data(stage=0):\n return get_files(stage)[1]","def main():\n spark = create_spark_session()\n\n # Used for local testing - commented out\n # input_data = \"./data/\"\n # output_data = \"./data/\"\n input_data = \"s3a://udacity-dend/\"\n output_data = \"s3a://allen-lesson4-datalake-bucket/\"\n\n process_song_data(spark, input_data, output_data)\n process_log_data(spark, input_data, output_data)\n spark.stop()","def main():\n app_environment = os.getenv(\"APP_ENV\", \"local\").strip().lower()\n config = load_config(app_environment)\n database_connection = mysql.connector.connect(**config[\"database\"])\n\n all_scores = retrieve_all_scores(database_connection)\n stats = calculate_stats(all_scores)\n print_stats(stats)\n\n grouped_scores = retrieve_grouped_scores(database_connection)\n print_score_spread(grouped_scores)\n\n return None","def getFishData(species = \"none\"):\n #r = req.get(\"https://fishbase.ropensci.org/species?Species=\" + species)\n r = req.get(\"https://fishbase.ropensci.org/species\")\n my_dict = r.json()\n return my_dict","def main():\n download_insert_title_basics()\n download_insert_title_principals()\n download_insert_name_basics()\n download_insert_title_ratings()\n scrap_keywords()\n create_and_insert_soup()\n return","def main():\n ds = 72\n title = 'Journal'\n journal_name = 'my-journal'\n headers.dashes_line(ds)\n headers.print_header(title, ds)\n data = journal.load(journal_name)\n event_loop(journal_name, data)\n # list_entries(data)\n # add_entry(data)\n # journal.save(journal_name, data)","def getResults():","def get_data():\n try:\n with open(CONS[\"OUTPUT_FILE\"], \"r\") as file:\n data = json.load(file)[1]\n return data\n except FileNotFoundError:\n print(\"Data file not found.\")\n exit()","def main():\n\n creds = None\n # The file token.json stores the user's access and refresh tokens, and is\n # created automatically when the authorization flow completes for the first\n # time.\n\n # There was no need to do this with Google Sheets... I just felt like being extra.\n if os.path.exists('token.json'):\n creds = Credentials.from_authorized_user_file('token.json', SCOPES)\n # If there are no (valid) credentials available, let the user log in.\n if not creds or not creds.valid:\n if creds and creds.expired and creds.refresh_token:\n creds.refresh(Request())\n else:\n flow = InstalledAppFlow.from_client_secrets_file(\n 'credentials.json', SCOPES)\n creds = flow.run_local_server(port=0)\n # Save the credentials for the next run\n with open('token.json', 'w') as token:\n token.write(creds.to_json())\n\n service = build('sheets', 'v4', credentials=creds)\n\n # Call the Sheets API\n sheet = service.spreadsheets()\n map_df = pd.read_csv('data/rel_map.csv')\n \n for i, rows in map_df.iterrows():\n print(rows.show_season, rows.lead)\n first_url = rows.show_season\n write_from_URL(wiki_head + first_url, sheet, rows.lead, rows.show_season)"],"string":"[\n \"def main():\\n print(dumps(get_data()))\\n return 0\",\n \"def main():\\n print get_latest_data()\",\n \"def get_data():\\n pass\",\n \"def get_data():\\n pass\",\n \"def get_data():\\n pass\",\n \"def get_data():\\n pass\",\n \"def get_data():\\n return\",\n \"def main():\\n logger = logging.getLogger(__name__)\\n logger.info('making final data set from raw data')\\n get_user_config()\",\n \"def main() -> int:\\n print(json.dumps(get_data())) # noqa: WPS421 (side-effect)\\n return 0\",\n \"def main():\\n\\n parser = argparse.ArgumentParser('Download all data into a folder')\\n parser.add_argument('--homepage_url', help='url for adap-kdb homepage', required=True)\\n parser.add_argument('--msp_path', help='path for msv file', required=True)\\n parser.add_argument('--user_name', help='username for login', required=True)\\n parser.add_argument('--user_password', help='user password fpr login', required=True)\\n args = parser.parse_args()\\n\\n homepage_url = args.homepage_url\\n msp_path = args.msp_path\\n user_name = args.user_name\\n user_password = args.user_password\\n\\n individual_search_test(homepage_url, msp_path, user_name, user_password)\",\n \"async def main():\\n async with aiohttp.ClientSession() as session:\\n data = Luftdaten(SENSOR_ID, loop, session)\\n await data.get_data()\\n\\n if not await data.validate_sensor():\\n print(\\\"Station is not available:\\\", data.sensor_id)\\n return\\n\\n if data.values and data.meta:\\n # Print the sensor values\\n print(\\\"Sensor values:\\\", data.values)\\n\\n # Print the coordinates fo the sensor\\n print(\\\"Location:\\\", data.meta['latitude'], data.meta['longitude'])\",\n \"def main():\\n\\n data = get_data(URL)\\n\\n if not data:\\n raise ValueError('No data to process')\\n\\n datacenters = [\\n Datacenter(key, value)\\n for key, value in data.items()\\n ]\\n\\n pass # the rest of your logic here\",\n \"def main():\\r\\n mvip, user, user_pass, mvip_node = get_inputs()\\r\\n payload = build_payload()\\r\\n headers, url = build_auth(mvip, user, user_pass, mvip_node)\\r\\n response_json = connect_cluster(headers, url, payload)\\r\\n paired_vols = get_replication_status(response_json)\\r\\n payload = get_vol_stats(paired_vols)\\r\\n response_json = connect_cluster(headers, url, payload)\\r\\n parse_volume_stats(paired_vols, response_json)\",\n \"def execute():\\n \\n # URL to the datasets part of SHARKdata.\\n sharkdata_url = u'http://sharkdata.se/datasets/'\\n\\n # Download a list of all available datasets. The JSON format is used.\\n datasets = json.load(urllib2.urlopen(sharkdata_url + u'list.json'))\\n \\n # Exit if no datasets are found. \\n if len(datasets) < 1:\\n print(u'No datasets found. Script terminated.')\\n return\\n\\n # Print some info for all available datasets.\\n print(u'\\\\nAvailable datasets on SHARKdata:' + u'\\\\n')\\n for dataset in datasets:\\n print(u' Datatype: ' + dataset[u'datatype'] + u' Name: ' + dataset[u'dataset_name'])\\n \\n # Get the name of the first dataset in the list.\\n dataset_name = datasets[0][u'dataset_name']\\n \\n # Download header and data and print the content. The text format is used.\\n print(u'\\\\nPrint dataset content for: ' + dataset_name + u'\\\\n')\\n header_and_data = urllib2.urlopen(sharkdata_url + dataset_name + u'/data.txt')\\n \\n for row in header_and_data:\\n # The text format character encoding is cp1252 (equal to windows-1252).\\n row = row.decode(u'cp1252')\\n# print(row.strip())\\n\\n # Download header and data and save to file.\\n dataset_name = datasets[0][u'dataset_name']\\n filename = datasets[0][u'dataset_file_name'].replace(u'.zip', u'.txt')\\n character_encoding = u'utf8' # Some alternatives: cp1252, utf-8, utf-16, ascii, latin1, macroman.\\n row_delimiter = u'\\\\r\\\\n'\\n print(u'\\\\nDataset content for: ' + dataset_name + u' to file: ' + filename + u'\\\\n')\\n out_file = None\\n try:\\n out_file = codecs.open(filename, mode = 'w', encoding = character_encoding)\\n header_and_data = urllib2.urlopen(sharkdata_url + dataset_name + u'/data.txt')\\n for row in header_and_data:\\n row = row.decode(u'cp1252')\\n out_file.write(row.strip() + row_delimiter)\\n finally:\\n if out_file: out_file.close()\",\n \"def getData(version, scriptPath):\\n print(\\\"getData\\\")\\n popd=os.getcwd()\\n dssvuePath = \\\"C:/Program Files (x86)/HEC/HEC-DSSVue/\\\"\\n os.chdir(dssvuePath)\\n # Path to script that extracts data from DSS file\\n with open(scriptPath + \\\"version.txt\\\", 'wb') as vFile:\\n pickle.dump([version], vFile)\\n # Use HEC-DSSVue to run script (only way to use hec package that accesses DSS files)\\n print(\\\"HEC-DSSVue.cmd\\\", \\\"-s\\\", scriptPath + \\\"getStageData.py\\\")\\n call([\\\"HEC-DSSVue.cmd\\\", \\\"-s\\\", scriptPath + \\\"getStageData.py\\\"], shell=True)\\n os.chdir(popd)\",\n \"def mover_get_data(lfns,\\n path,\\n sitename,\\n queuename,\\n stageinTries,\\n inputpoolfcstring=\\\"xmlcatalog_file:PoolFileCatalog.xml\\\",\\n ub=\\\"outdated\\\", # to be removed\\n dsname=\\\"\\\",\\n dsdict={},\\n rucio_dataset_dictionary={},\\n guids=[],\\n analysisJob=False,\\n usect=True,\\n pinitdir=\\\"\\\",\\n proxycheck=True,\\n spsetup=\\\"\\\",\\n tokens=[],\\n userid=\\\"\\\",\\n inputDir=\\\"\\\",\\n jobId=None,\\n jobDefId=\\\"\\\",\\n access_dict=None,\\n scope_dict=None,\\n workDir=\\\"\\\",\\n DN=None,\\n dbh=None,\\n jobPars=\\\"\\\",\\n cmtconfig=\\\"\\\",\\n filesizeIn=[],\\n checksumIn=[],\\n transferType=None,\\n experiment=\\\"\\\",\\n eventService=False,\\n sourceSite=\\\"\\\"):\\n\\n tolog(\\\"Mover get data started\\\")\\n\\n statusPFCTurl = None\\n pilotErrorDiag = \\\"\\\"\\n\\n # FAX counters (will be reported in jobMetrics; only relevant when FAX has been activated after a stage-in failure)\\n N_filesWithoutFAX = 0\\n N_filesWithFAX = 0\\n bytesWithoutFAX = 0L\\n bytesWithFAX = 0L\\n\\n # FAX control variable, if FAX is used as primary site mover in combination with direct I/O\\n usedFAXandDirectIO = False\\n\\n # The FAX variables above will be stored in a dictionary, to be returned by this function\\n FAX_dictionary = {}\\n\\n # Is the DBRelease file available locally?\\n DBReleaseIsAvailable = handleDBRelease(dbh, lfns, jobPars, path)\\n\\n # Should stage-in be aborted? (if there are only locally available DBRelease files in the stage-in list)\\n if abortStageIn(dbh, lfns, DBReleaseIsAvailable):\\n return 0, pilotErrorDiag, statusPFCTurl, FAX_dictionary\\n\\n # Setup the dictionary necessary for all instrumentation\\n report = getInitialTracingReport(userid, sitename, dsname, \\\"get_sm\\\", analysisJob, jobId, jobDefId, DN)\\n\\n if stageinTries != 0:\\n get_RETRY = min(stageinTries, MAX_NUMBER_OF_RETRIES)\\n else:\\n get_RETRY = MAX_RETRY\\n get_TIMEOUT = 5*3600/get_RETRY\\n\\n fail = 0\\n guidfname = {}\\n error = PilotErrors()\\n\\n region = readpar('region')\\n\\n # Space tokens currently not used for input files\\n # # check if there is are any space tokens\\n # _token = getProperSpaceTokenList(token, listSEs, len(lfns))\\n\\n # Select the correct mover\\n copycmd, setup = getCopytool(mode=\\\"get\\\")\\n\\n # Get the sitemover object corresponding to the default copy command\\n sitemover = getSiteMover(copycmd, setup)\\n\\n # Get the experiment object\\n thisExperiment = getExperiment(experiment)\\n\\n # Get the name for the PFC file\\n _path = path\\n if eventService:\\n # Update the path (create the PFC in one level above the payload workdir)\\n path = os.path.abspath(os.path.join(path, '..'))\\n pfc_name = getPFCName(path, inputpoolfcstring)\\n # done with the event server modification (related to the PFC generation), reset the path again\\n path = _path\\n\\n # Build the file info dictionary (use the filesize and checksum from the dispatcher if possible) and create the PFC\\n # Format: fileInfoDic[file_nr] = (guid, gpfn, fsize, fchecksum, filetype, copytool)\\n # replicas_dic[guid1] = [ replica1, .. ] where replicaN is an object of class replica\\n ec, pilotErrorDiag, fileInfoDic, totalFileSize, replicas_dic = \\\\\\n getFileInfo(region, ub, queuename, guids, dsname, dsdict, lfns, pinitdir, analysisJob, tokens, DN, sitemover, error, path, dbh, DBReleaseIsAvailable,\\\\\\n scope_dict, pfc_name=pfc_name, filesizeIn=filesizeIn, checksumIn=checksumIn, thisExperiment=thisExperiment)\\n if ec != 0:\\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\\n\\n # Until the Mover PFC file is no longer needed, call the TURL based PFC \\\"PoolFileCatalogTURL.xml\\\"\\n pfc_name_turl = pfc_name.replace(\\\".xml\\\", \\\"TURL.xml\\\")\\n\\n # Create a SURL to space token dictionary\\n tokens_dictionary = getSurlTokenDictionary(lfns, tokens)\\n\\n # Create a TURL based PFC if necessary/requested (i.e. if copy tool should not be used [useCT=False] and\\n # if oldPrefix and newPrefix are not already set in copysetup [useSetPrefixes=False])\\n ec, pilotErrorDiag, createdPFCTURL, usect = PFC4TURLs(analysisJob, transferType, fileInfoDic, pfc_name_turl, sitemover, sitename, usect, dsdict, eventService, tokens_dictionary, sitename, sourceSite, lfns)\\n if ec != 0:\\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\\n\\n # Correct the total file size for the DBRelease file if necessary\\n totalFileSize = correctTotalFileSize(totalFileSize, fileInfoDic, lfns, dbh, DBReleaseIsAvailable)\\n\\n # Only bother with the size checks if the copy tool is to be used (non-direct access mode)\\n if usect:\\n # Get a proper maxinputsize from schedconfig/default \\n _maxinputsize = getMaxInputSize()\\n\\n # Check the total input file size\\n ec, pilotErrorDiag = verifyInputFileSize(totalFileSize, _maxinputsize, error)\\n if ec != 0:\\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\\n\\n # Do we have enough local space to stage in all data and run the job?\\n ec, pilotErrorDiag = verifyAvailableSpace(sitemover, totalFileSize, path, error)\\n if ec != 0:\\n return ec, pilotErrorDiag, statusPFCTurl, FAX_dictionary\\n\\n # Get the replica dictionary from file (used when the primary replica can not be staged due to some temporary error)\\n replica_dictionary = getReplicaDictionaryFile(path)\\n\\n # file counters\\n N_files_on_tape = 0\\n N_root_files = 0\\n N_non_root_files = 0\\n\\n # If FAX is used as a primary site mover then set the default FAX mode to true, otherwise to false (normal mode)\\n if copycmd == \\\"fax\\\":\\n usedFAXMode = True\\n else:\\n usedFAXMode = False\\n\\n # Use isOneByOneFileTransfer() to determine if files should be transferred one by one or all at once\\n if not sitemover.isOneByOneFileTransfer():\\n\\n # Note: this mode is used by the aria2c site mover only\\n # Normal stage-in is below\\n\\n tolog(\\\"All files will be transferred at once\\\")\\n\\n # Extract the file info for the first file in the dictionary\\n guid, gpfn, lfn, fsize, fchecksum, filetype, copytool = extractInputFileInfo(fileInfoDic[0], lfns)\\n file_access = getFileAccess(access_dict, lfn)\\n dsname = getDataset(lfn, dsdict)\\n\\n # Perform stage-in using the sitemover wrapper method\\n s, pErrorText = sitemover_get_all_data(sitemover, error, gpfn, lfn, path, fsize=fsize, spsetup=spsetup, fchecksum=fchecksum,\\\\\\n guid=guid, analysisJob=analysisJob, usect=usect, pinitdir=pinitdir, proxycheck=proxycheck,\\\\\\n sitename=sitename, token=None, timeout=get_TIMEOUT, dsname=dsname, userid=userid, report=report,\\\\\\n access=file_access, inputDir=inputDir, jobId=jobId, workDir=workDir, cmtconfig=cmtconfig, lfns=lfns,\\\\\\n experiment=experiment, replicas_dic=replicas_dic, dsdict=dsdict, scope_dict=scope_dict)\\n if s != 0:\\n tolog('!!WARNING!!2999!! Failed during stage-in of multiple files: %s' % (error.getErrorStr(s)))\\n tolog(\\\"Exit code: %s\\\" % (s))\\n fail = s\\n\\n # Normal stage-in (one by one file transfers)\\n if sitemover.isOneByOneFileTransfer() or fail != 0:\\n \\n tolog(\\\"Files will be transferred one by one\\\")\\n\\n # Reset any previous failure\\n fail = 0\\n\\n # Loop over all files in the file info dictionary\\n number_of_files = len(fileInfoDic.keys())\\n tolog(\\\"Will process %d file(s)\\\" % (number_of_files))\\n for nr in range(number_of_files):\\n # Extract the file info from the dictionary\\n guid, gpfn, lfn, fsize, fchecksum, filetype, copytool = extractInputFileInfo(fileInfoDic[nr], lfns)\\n\\n # Has the copycmd/copytool changed? (E.g. due to FAX) If so, update the sitemover object\\n if copytool != copycmd:\\n copycmd = copytool\\n # Get the sitemover object corresponding to the new copy command\\n sitemover = getSiteMover(copycmd, setup)\\n tolog(\\\"Site mover object updated since copytool has changed\\\")\\n\\n # Update the dataset name\\n dsname = getDataset(lfn, dsdict)\\n proper_dsname = getDataset(lfn, rucio_dataset_dictionary)\\n scope = getFileScope(scope_dict, lfn)\\n\\n # Update the tracing report with the proper container/dataset name\\n report = updateReport(report, gpfn, proper_dsname, fsize, sitemover)\\n report['scope'] = scope\\n\\n # The DBRelease file might already have been handled, go to next file\\n if isDBReleaseFile(dbh, lfn) and DBReleaseIsAvailable:\\n updateFileState(lfn, workDir, jobId, mode=\\\"transfer_mode\\\", state=\\\"no_transfer\\\", type=\\\"input\\\")\\n guidfname[guid] = lfn # needed for verification below\\n continue\\n else:\\n tolog(\\\"(Not a DBRelease file)\\\")\\n\\n tolog(\\\"Mover is preparing to copy file %d/%d (lfn: %s guid: %s dsname: %s)\\\" % (nr+1, number_of_files, lfn, guid, dsname))\\n tolog('Copying %s to %s (file catalog checksum: \\\\\\\"%s\\\\\\\", fsize: %s) using %s (%s)' %\\\\\\n (gpfn, path, fchecksum, fsize, sitemover.getID(), sitemover.getSetup()))\\n\\n # Get the number of replica retries\\n get_RETRY_replicas = getNumberOfReplicaRetries(createdPFCTURL, replica_dictionary, guid)\\n\\n file_access = getFileAccess(access_dict, lfn)\\n\\n # Loop over get function to allow for multiple get attempts for a file\\n will_use_direct_io = False\\n get_attempt = 0\\n\\n #get_RETRY = 1 #2 #PN\\n while get_attempt < get_RETRY:\\n if get_attempt > 0:\\n _rest = 5*60\\n tolog(\\\"(Waiting %d seconds before next stage-in attempt)\\\" % (_rest))\\n sleep(_rest)\\n tolog(\\\"Get attempt %d/%d\\\" % (get_attempt + 1, get_RETRY))\\n replica_number = 0\\n replica_transferred = False\\n s = 1\\n\\n # Loop over replicas\\n while s != 0 and replica_number < get_RETRY_replicas:\\n # Grab the gpfn from the replicas dictionary in case alternative replica stage-in is allowed\\n gpfn = getAlternativeReplica(gpfn, guid, replica_number, createdPFCTURL, replica_dictionary)\\n\\n # Perform stage-in using the sitemover wrapper method\\n s, pErrorText, N_files_on_tape, N_root_files, N_non_root_files, replica_transferred, will_use_direct_io = sitemover_get_data(sitemover, error,\\\\\\n get_RETRY, get_RETRY_replicas, get_attempt,\\\\\\n replica_number, N_files_on_tape, N_root_files,\\\\\\n N_non_root_files, gpfn, lfn, path,\\\\\\n fsize=fsize, spsetup=spsetup, fchecksum=fchecksum,\\\\\\n guid=guid, analysisJob=analysisJob, usect=usect,\\\\\\n pinitdir=pinitdir, proxycheck=proxycheck,\\\\\\n sitename=sitename, token=None, timeout=get_TIMEOUT,\\\\\\n dsname=dsname, userid=userid, report=report,\\\\\\n access=file_access, inputDir=inputDir, jobId=jobId,\\\\\\n workDir=workDir, cmtconfig=cmtconfig,\\\\\\n experiment=experiment, scope_dict=scope_dict,\\\\\\n sourceSite=sourceSite)\\n # Get out of the multiple replica loop\\n if replica_transferred:\\n break\\n\\n # Increase the replica attempt counter in case the previous replica could not be transferred\\n replica_number += 1\\n\\n # Get out of the multiple get attempt loop\\n if replica_transferred:\\n break\\n\\n # Increase the get attempt counter in case of failure to transfer the file\\n get_attempt += 1\\n\\n # Increase the successful file transfer counter (used only when reporting FAX transfers)\\n if s == 0:\\n # note the special case if FAX is the primary site mover (normally FAX is the fallback)\\n if sitemover.copyCommand == \\\"fax\\\":\\n N_filesWithFAX += 1\\n bytesWithFAX += long(fsize)\\n else:\\n # Normal case\\n N_filesWithoutFAX += 1\\n bytesWithoutFAX += long(fsize)\\n\\n if s != 0:\\n # Normal stage-in failed, now try with FAX if possible\\n if error.isPilotFAXErrorCode(s):\\n if isFAXAllowed(filetype, gpfn) and transferType != \\\"fax\\\" and sitemover.copyCommand != \\\"fax\\\": # no point in trying to fallback to fax if the fax transfer above failed\\n tolog(\\\"Normal stage-in failed, will attempt to use FAX\\\")\\n usedFAXMode = True\\n\\n # Get the FAX site mover\\n old_sitemover = sitemover\\n sitemover = getSiteMover(\\\"fax\\\", \\\"\\\")\\n\\n # Perform stage-in using the sitemover wrapper method\\n s, pErrorText, N_files_on_tape, N_root_files, N_non_root_files, replica_transferred, will_use_direct_io = sitemover_get_data(sitemover, error,\\\\\\n get_RETRY, get_RETRY_replicas, get_attempt, replica_number,\\\\\\n N_files_on_tape, N_root_files, N_non_root_files,\\\\\\n gpfn, lfn, path,\\\\\\n fsize=fsize, spsetup=spsetup, fchecksum=fchecksum,\\\\\\n guid=guid, analysisJob=analysisJob, usect=usect,\\\\\\n pinitdir=pinitdir, proxycheck=proxycheck,\\\\\\n sitename=sitename, token=None, timeout=get_TIMEOUT,\\\\\\n dsname=dsname, userid=userid, report=report,\\\\\\n access=file_access, inputDir=inputDir, jobId=jobId,\\\\\\n workDir=workDir, cmtconfig=cmtconfig, experiment=experiment)\\n if replica_transferred:\\n tolog(\\\"FAX site mover managed to transfer file from remote site (resetting error code to zero)\\\")\\n pilotErrorDiag = \\\"\\\"\\n s = 0\\n\\n # Increase the successful FAX transfer counter\\n N_filesWithFAX += 1\\n bytesWithFAX += long(fsize)\\n else:\\n tolog(\\\"FAX site mover also failed to transfer file from remote site, giving up\\\")\\n\\n # restore the old sitemover\\n del sitemover\\n sitemover = old_sitemover\\n else:\\n tolog(\\\"(Not an error code eligible for FAX fail-over)\\\")\\n\\n if s != 0:\\n tolog('!!FAILED!!2999!! Failed to transfer %s: %s (%s)' % (os.path.basename(gpfn), s, error.getErrorStr(s)))\\n tolog(\\\"Exit code: %s\\\" % (s))\\n\\n # report corrupt file to consistency server if needed\\n if s == error.ERR_GETADMISMATCH or s == error.ERR_GETMD5MISMATCH or s == error.ERR_GETWRONGSIZE or s == error.ERR_NOSUCHFILE:\\n reportFileCorruption(gpfn, sitemover)\\n\\n # exception for object stores\\n if (gpfn.startswith(\\\"s3:\\\") or 'objectstore' in gpfn) and '.log.tgz' in gpfn:\\n tolog(\\\"!!FAILED!!2999!! Failed to transfer a log file from S3 objectstore. Will skip it and continue the job.\\\")\\n else:\\n fail = s\\n break\\n\\n # Build the dictionary used to create the PFC for the TRF\\n # In the case of FAX, use the global paths if direct access is to be used for the particlar file\\n if usedFAXMode and will_use_direct_io:\\n # The site mover needed here is the FAX site mover since the global file path methods are defined there only\\n old_sitemover = sitemover\\n sitemover = getSiteMover(\\\"fax\\\", \\\"\\\")\\n guidfname[guid] = sitemover.findGlobalFilePath(lfn, dsname, sitename, sourceSite)\\n\\n # Restore the old sitemover\\n del sitemover\\n sitemover = old_sitemover\\n\\n # If FAX is used as a primary site mover, in combination with direct access, set the usedFAXandDirectIO flag\\n # this will later be used to update the run command (e.g. --lfcHost is not needed etc)\\n if copycmd == \\\"fax\\\":\\n usedFAXandDirectIO = True\\n else:\\n guidfname[guid] = lfn # local_file_name\\n\\n if fail == 0:\\n # Make sure the PFC has the correct number of files\\n fail, pilotErrorDiag = verifyPFCIntegrity(guidfname, lfns, dbh, DBReleaseIsAvailable, error)\\n\\n # Now that the Mover PFC file is no longer needed, back it up and rename the TURL based PFC if it exists\\n # (the original PFC is no longer needed. Move it away, and then create the PFC for the trf/runAthena)\\n # backupPFC4Mover(pfc_name)\\n\\n # Create a standard PFC with SURLs if needed (basically this is default)\\n # note: if FAX was used as a primary site mover in combination with direct I/O, then the SURLs will actually be TURLs\\n # but there is no need to use the special TURL creation method PFC4TURL used above (FAX will have returned the TURLs instead)\\n createStandardPFC4TRF(createdPFCTURL, pfc_name_turl, pfc_name, guidfname)\\n\\n tolog(\\\"Number of identified root files : %d\\\" % (N_root_files))\\n tolog(\\\"Number of transferred non-root files: %d\\\" % (N_non_root_files))\\n\\n if usedFAXMode:\\n tolog(\\\"Number of files without FAX : %d (normal transfers)\\\" % (N_filesWithoutFAX))\\n tolog(\\\"Number of files with FAX : %d (successful FAX transfers)\\\" % (N_filesWithFAX))\\n tolog(\\\"Bytes without FAX : %d (normal transfers)\\\" % (bytesWithoutFAX))\\n tolog(\\\"Bytes with FAX : %d (successful FAX transfers)\\\" % (bytesWithFAX))\\n\\n if N_files_on_tape > 0:\\n tolog(\\\"!!WARNING!!2999!! Number of skipped files: %d (not staged)\\\" % (N_files_on_tape))\\n if N_root_files == 0:\\n # This should only happen for user jobs\\n tolog(\\\"Mover get_data failed since no root files could be transferred\\\")\\n fail = error.ERR_NOSTAGEDFILES\\n else:\\n tolog(\\\"Mover get_data finished (partial)\\\")\\n else:\\n if fail == 0:\\n tolog(\\\"Get successful\\\")\\n tolog(\\\"Mover get_data finished\\\")\\n else:\\n tolog(\\\"Mover get_data finished (failed)\\\")\\n tolog(\\\"Will return exit code = %d, pilotErrorDiag = %s\\\" % (fail, pilotErrorDiag)) \\n\\n # Now populate the FAX dictionary before finishing\\n FAX_dictionary = getFAXDictionary(N_filesWithoutFAX, N_filesWithFAX, bytesWithoutFAX, bytesWithFAX, usedFAXandDirectIO)\\n\\n return fail, pilotErrorDiag, statusPFCTurl, FAX_dictionary\",\n \"def main():\\n\\n # Setup `pysc` to use BASIC auth, with a username, and password. Also sets the endpoint to use.\\n setup_sensorcloud_basic(CONSTS['SC_USERNAME'], CONSTS['SC_PASSWORD'],\\n CONSTS['SC_ENDPOINT'], CONSTS['PYSC_DEBUG'])\\n\\n org_id = CONSTS['ORG_ID']\\n\\n # Ensure the organisation exists on the SensorCloud endpoint.\\n try:\\n organisation = pysc.models.Organisation.single(org_id)\\n except KeyError:\\n raise RuntimeWarning(\\\"\\\"\\\"The organisation named {:s} was not found.\\\\n\\\"\\\"\\\"\\n \\\"\\\"\\\"Although the `pysc` api has functionality to create an organisation, it cannot \\\"\\\"\\\"\\n \\\"\\\"\\\"do so on the sensor-cloud.io instance on AWS.\\\"\\\"\\\".format(org_id))\\n # Ensure sanity, check we got the organisation that we asked for.\\n assert (org_id == organisation.id)\\n\\n # Here we use the Group.resolve_all helper with organisation_id param to filter groups based on id\\n # The resolve_all command is similar to .index() however it also calls .follow() on found link automatically,\\n # _and_ it converts the resulting HAL objects into real valid `pysc` Group() objects.\\n org_groups = pysc.models.Group.resolve_all(params={'organisation_id': org_id})\\n # We are not likely to have more than 1000 groups, so we don't need to do return doc pagination here.\\n for g in org_groups:\\n group_id = g.id\\n print(\\\"Found group: {:s}\\\".format(group_id))\\n\\n print(\\\"Found a total of {:d} groups for {:s} on that SensorCloud endpoint.\\\".format(len(org_groups), org_id))\",\n \"def get_data(self):\",\n \"def getStockData():\\n pass\",\n \"def main() -> None:\\n\\n download_data_tools.initial_message()\\n\\n # S&P 500 companies, initial year and time step\\n stocks: List[str] = download_data_tools.get_stocks(['all'])\\n dates: List[str] = ['1992-01', '2012-12']\\n time_step: str = '1d'\\n\\n # Basic folders\\n download_data_tools.start_folders()\\n\\n # Run analysis\\n # Download data\\n portfolio_download_data(stocks, dates, time_step)\\n\\n print('Ay vamos!!!')\",\n \"def get_data_from_web():\\n pass\",\n \"def main():\\n try:\\n init_file = open('keywords.json', 'r')\\n init_file.close()\\n except IOError:\\n copy2('keywords.base', 'keywords.json')\\n try:\\n init_file = open('rsslist.json', 'r')\\n init_file.close()\\n except IOError:\\n copy2('rsslist.base', 'rsslist.json')\\n \\n\\n config_file = 'config.ini'\\n config_section = 'dev'\\n slack_token = load_config(config_file, config_section)\\n slack_client = SlackClient(slack_token)\\n feed_count = len(feed_db)\\n feed_counter = feed_count\\n while feed_counter > 0:\\n url = feed_db.get(doc_id = feed_counter)['url']\\n last_update_obj = feed_db.get(doc_id = feed_counter)['lastupdate']\\n post_list, published_date = getfeed(url, last_update_obj)\\n feed_counter = feed_counter - 1\\n print(post_list)\\n post_lastUpdate(url, published_date)\\n post_to_slack(slack_client, post_list)\",\n \"def get_velib_data():\\n api_url = \\\"https://api.jcdecaux.com/vls/v1/\\\"\\n query_string = \\\"stations?contract=Paris&apiKey=\\\"\\n api_key = \\\"ec29d3b17e5162e1459aaad45cddfe74fe832379\\\"\\n my_url = api_url + query_string + api_key\\n\\n urlobj = URL.urlopen(my_url)\\n data = json.load(urlobj)\\n# data = urlobj.read()\\n# help(data)\\n return data\",\n \"def test_data_source_soaps_get(self):\\n pass\",\n \"def main():\\n\\n # 1.0 DATA PREP\\n\\n # 1.1 Retrieve SWAPI representation of the Millenium Falcon (base)\\n url = f\\\"{ENDPOINT}/starships\\\"\\n params = {'search': 'falcon'}\\n swapi_m_falcon = get_swapi_resource(url, params)[\\\"results\\\"][0]\\n\\n print(f\\\"\\\\nSWAPI = {swapi_m_falcon}\\\\n\\\")\\n\\n # 1.2 Read in additional Millenium Falcon data\\n filepath = 'wookiee_m_falcon.json'\\n wookiee_m_falcon = read_json(filepath)\\n\\n print(f\\\"\\\\nLocal = {wookiee_m_falcon}\\\\n\\\")\\n\\n # 1.3 Combine starship data dicts\\n # Note: local vals replace swapi vals on matching keys\\n\\n # UNCOMMENT\\n swapi_m_falcon.update(wookiee_m_falcon) # in-place (no assignment)\\n\\n print(f\\\"\\\\nCombined = {swapi_m_falcon}\\\\n\\\")\\n\\n\\n # 2.0 WORK WITH CLASS INSTANCES\\n\\n # 2.1 Create Starship instance\\n m_falcon = Starship(swapi_m_falcon['name'], swapi_m_falcon['url'])\\n\\n # 2.2 Bulk assign dictionary values to instance variables\\n # assign_values() acts as a filter\\n # Downside: overwrites init values\\n\\n #UNCOMMENT\\n m_falcon.assign_values(swapi_m_falcon)\\n\\n print(f\\\"\\\\nm_falcon.armament = {m_falcon.armament}\\\\n\\\")\\n\\n # 3.0 ASSIGN CREW TO STARSHIP\\n url = f\\\"{ENDPOINT}/people\\\"\\n\\n # 3.1 Get SWAPI Han Solo (Corellian smuggler, pilot)\\n params = {'search': 'solo'}\\n swapi_solo = get_swapi_resource(url, params)['results'][0]\\n\\n print(f\\\"\\\\nswapi_solo = {swapi_solo}\\\\n\\\")\\n\\n # Add instance variable values the conventional way)\\n solo = Person(swapi_solo[\\\"name\\\"], swapi_solo['url']) # instantiate Person\\n\\n # UNCOMMENT\\n solo.gender = swapi_solo['gender']\\n solo.birth_year = swapi_solo[\\\"birth_year\\\"]\\n solo.get_homeworld(swapi_solo[\\\"homeworld\\\"]) # fetch homeworld dict\\n\\n\\n # 3.2 Get SWAPI Chewbacca (Wookiee, co-pilot)\\n params = {'search': 'chewbacca'}\\n swapi_chewie = get_swapi_resource(url, params)[\\\"results\\\"][0]\\n\\n print(f\\\"\\\\nswapi_chewie = {swapi_chewie}\\\\n\\\")\\n\\n chewie = Person(swapi_chewie[\\\"name\\\"], swapi_solo[\\\"url\\\"]) # instantiate Person\\n\\n # UNCOMMENT\\n chewie.assign_values(swapi_chewie) # bulk assign\\n chewie.get_homeworld(swapi_chewie['homeworld']) # fetch homeworld dicts\\n\\n # 3.3 Assign crew\\n crew = {\\\"pilot\\\": solo, \\\"co-pilot\\\": chewie} # key = role (pilot), value = name\\n\\n # UNCOMMENT\\n m_falcon.assign_crew(crew)\\n\\n\\n # 4.0 WRITE TO FILE\\n filepath = 'si506_m_falcon.json'\\n\\n # UNCOMMENT (fail)\\n write_json(filepath, m_falcon) # raises TypeError exception\\n\\n # Serialize composite class instances (a complex object)\\n # Implement ExtendEncoder(); reference in json.dump()\\n\\n # UNCOMMENT (success)\\n write_complex_json(filepath, m_falcon)\",\n \"def fetch_data():\\n if request.method == 'GET':\\n return (\\\"Use this endpoint with POST method to fetch data\\\", 200)\\n elif request.method == 'POST':\\n # request data\\n app.logger.info(\\\"Requesting data\\\")\\n data = get_data('regulatorydecision')\\n\\n # write to file\\n app.logger.info(\\\"Writing to file\\\")\\n write_to_file(data)\\n\\n # upload to cloud storage\\n app.logger.info(\\\"Uploading to GCS\\\")\\n upload_to_gcs('data.json', 'health-ca-data-staging')\\n\\n # publish message to pubsub\\n app.logger.info(\\\"Publishing status message to Pubsub\\\")\\n message = \\\"Data uploaded to GCS\\\"\\n pubsub_publish('projects/health-ca-data/topics/gcs_load', message, \\\"\\\")\\n\\n return (\\\"Fetching data\\\", 200)\",\n \"def ori_data_fbi(request):\\n http = urllib3.PoolManager()\\n\\n\\n #base_url=fbi_url(request)\\n logging.Logger(base_url)\\n print('I am inside the main function')\\n # New request url\\n request_url = base_url\\n logging.Logger(request_url)\\n\\n\\n payload = http.request('GET',\\n request_url,\\n headers={\\n 'Content-Type': 'application/json',\\n 'x-api-key': creds\\n },\\n fields={\\n 'API_KEY':creds\\n }\\n )\\n\\n #*** only changing it for testing ***\\n #return request_url\\n # print(f'the type of payload is\\\\n {type(payload.data)}')\\n print(payload.data)\\n return load_into_bq(payload.data)\\n #return payload.data\",\n \"def fetch_data(self):\",\n \"def pull_from_kvstore(helper, name, start, stats):\\n resp = helper.send_http_request(\\n url=_uri(helper),\\n headers=_headers(helper),\\n method='GET',\\n verify=False,\\n parameters={'query': json.dumps({'splunk_source': name})})\\n resp.raise_for_status()\\n\\n ans = {}\\n for v in resp.json():\\n ans[v['indicator']] = {\\n '_key': v['_key'],\\n 'is_present': False,\\n 'splunk_last_seen': v.get('splunk_last_seen', 0.0)}\\n\\n return ans\",\n \"def get_data(params):\\n username = params['username']\\n provider = params[\\\"provider\\\"]\\n quality = params[\\\"quality\\\"]\\n speed = params[\\\"speed\\\"]\\n vpn = params[\\\"vpn\\\"]\\n platform = params[\\\"platform\\\"]\\n clean = params[\\\"clean\\\"]\\n date = params[\\\"date\\\"]\\n interface = params[\\\"interface\\\"]\\n csvmode = params[\\\"csvmode\\\"]\\n path = params['path']\\n output_path = './data/collected/'\\n\\n output_file = '{}_{}_{}_{}_{}_{}_{}_{}.csv'.format(username, provider, quality, speed, vpn, platform, clean, date)\\n command = 'python3.8 {} -i {} -s {} {}'.format(path, interface, csvmode, output_file)\\n os.system(command)\\n \\n return\",\n \"def fetch_data():\\n log = logging.getLogger(__name__)\\n log.info('Checking data files...')\\n if not os.path.isfile('CGN.txt'):\\n params_cgn = {\\n 'institute.code': ['NLD037'],\\n # 'crops': ['tomato'],\\n 'taxonomy.genus': ['Solanum', 'Lycopersicon'],\\n 'taxonomy.species': species\\n }\\n cgn = GenesysParser(params_cgn)\\n cgn.fetch2json('CGN.txt')\\n log.info('CGN data has been saved.')\\n else:\\n log.info('CGN data file already exists.')\\n\\n if not os.path.isfile('USDA.txt'):\\n params_usda = {\\n 'institute.code': usda_all,\\n # 'crops': ['tomato'],\\n 'taxonomy.genus': ['Solanum', 'Lycopersicon'],\\n 'taxonomy.species': species\\n }\\n usda = GenesysParser(params_usda)\\n usda.fetch2json('USDA.txt')\\n log.info('USDA data has been saved.')\\n else:\\n log.info('USDA data file already exists.')\",\n \"def main(unused_argv):\\n make_dir(FLAGS.raw_dir)\\n\\n # Get paths of download/extracted training and evaluation files.\\n print(\\\"Downloading data from source\\\")\\n train_files = get_raw_files(FLAGS.raw_dir, constants.TRAIN_DATA_SOURCES)\\n eval_files = get_raw_files(FLAGS.raw_dir, constants.EVAL_DATA_SOURCES)\",\n \"def main():\\n if len(sys.argv) != 3:\\n print(\\\"Usage: python season-get [year] [season, lowercase]\\\")\\n return None\\n\\n year = sys.argv[1]\\n season = sys.argv[2]\\n print(\\\"Pulling from API\\\")\\n\\n API_url = \\\"http://api.jikan.moe/season/{}/{}\\\".format(year, season)\\n\\n # Error checking\\n try:\\n data = urllib.request.urlopen(API_url)\\n except urllib.error.URLError as e:\\n print(\\\"Error - {}\\\".format(e))\\n return None\\n print(\\\"Complete!\\\\n\\\")\\n\\n result = json.loads(data.read())['season']\\n\\n print(\\\"Loading IDs\\\")\\n target_name = '{}-{}.txt'.format(year, season)\\n target = open('./input/{}'.format(target_name), 'w')\\n\\n for anime in result:\\n target.write(str(anime['mal_id']) + '\\\\n')\\n print(\\\"Complete!\\\\n\\\")\",\n \"def retrieve_data(args):\\n if args.model is None:\\n error_exit(\\\"--model is required for retrieve!\\\")\\n if args.grid_type is None:\\n error_exit(\\\"--grid_type is required for retrieve!\\\")\\n if args.init_time is None:\\n error_exit(\\\"--init-time is required for retrieve!\\\")\\n if args.variable is None:\\n error_exit(\\\"--variable is required for retrieve!\\\")\\n if args.level_type is None:\\n error_exit(\\\"--level-type is required for retrieve!\\\")\\n if args.levels is None:\\n error_exit(\\\"--levels is required for retrieve!\\\")\\n if args.lead_time is None:\\n error_exit(\\\"--lead-time is required for retrieve!\\\")\\n if args.dest is None:\\n error_exit(\\\"--dest is required for retrieve!\\\")\\n if not os.path.exists(args.dest):\\n error_exit(f\\\"path not found: {args.dest}\\\")\\n if not os.path.isdir(args.dest):\\n error_exit(f\\\"path is not a directory: {args.dest}\\\")\\n try:\\n files = retrieve_nwp(model=args.model,\\n grid_type=args.grid_type,\\n variable=args.variable,\\n level_type=args.level_type,\\n levels=args.levels,\\n init_time=args.init_time,\\n forecast_hour=args.lead_time,\\n dest=args.dest,\\n merge_files=args.merge)\\n for one_file in files:\\n logging.info(f\\\"downloaded: {one_file}\\\")\\n except ValueError as ve:\\n error_exit(str(ve))\",\n \"def do_GET(s):\\r\\n print \\\"processing get request...\\\"\\r\\n s.send_response(200)\\r\\n s.send_header(\\\"Content-type\\\", \\\"application/json\\\")\\r\\n s.send_header(\\\"Access-Control-Allow-Origin\\\", \\\"*\\\")\\r\\n s.end_headers()\\r\\n\\r\\n inputUrl = s.path\\r\\n\\r\\n print \\\"####INPUT########\\\"\\r\\n print inputUrl\\r\\n print \\\"#####INPUT#######\\\"\\r\\n\\r\\n try:\\r\\n index = string.index(inputUrl, \\\"url=\\\") + 4\\r\\n urlParam = inputUrl[index:]\\r\\n print \\\"url request: \\\" + urlParam\\r\\n response = urllib.urlopen(urlParam).read()\\r\\n s.wfile.write(response)\\r\\n except:\\r\\n print \\\"no url specified\\\"\\r\\n\\r\\n try:\\r\\n index = string.index(inputUrl, \\\"random\\\") + 6\\r\\n randomParam = inputUrl[index:]\\r\\n scientists = open(\\\"C:\\\\Users\\\\ASUS 1\\\\Documents\\\\GitHub\\\\girlsWhoCode\\\\womenScientists\\\\women_scientists.txt\\\", 'r').readlines()\\r\\n size = len(scientists)\\r\\n fileIndex = random.randint(0, size)\\r\\n scientist = scientists[fileIndex]\\r\\n print \\\"random request returning: \\\" + scientist\\r\\n response = json.dumps(scientist)\\r\\n s.wfile.write(response)\\r\\n\\r\\n except Exception as e:\\r\\n print e.message\\r\\n print \\\"no female scientist requested\\\"\\r\\n\\r\\n try:\\r\\n index = string.index(inputUrl, \\\"wiki=\\\") + 5\\r\\n scientistParam = inputUrl[index:]\\r\\n scientist = ' '.join(scientistParam.split(\\\"%20\\\"))\\r\\n print \\\"wiki request for \\\" + scientist\\r\\n page = wikipedia.page(scientist)\\r\\n summary = page.summary\\r\\n response = json.dumps(summary)\\r\\n s.wfile.write(response)\\r\\n except:\\r\\n print \\\"no wiki request\\\"\",\n \"def main():\\n # Create the flow\\n with Flow('pickle flow') as flow:\\n db_table = create_table()\\n weather_data = get_weather(LAT_NYC, LON_NYC, 2018)\\n parsed_data = parse_weather(weather_data)\\n populated_table = store_weather(parsed_data)\\n populated_table.set_upstream(db_table)\\n\\n # Run the flow\\n flow.run()\",\n \"def _get_soundcloud_data(self):\\n self.title, self.stream_url = get_track_info(self.URL)\",\n \"def main():\\n spark = create_spark_session()\\n\\n input_data = config['STORAGE']['INPUT_DATA']\\n output_data = config['STORAGE']['OUTPUT_DATA']\\n\\n process_song_data(spark, input_data, output_data)\\n process_log_data(spark, input_data, output_data)\",\n \"def get_fred_data(url):\\n pass\",\n \"def main():\\n pods = openshift_object.get_running_pods()\\n me = openshift_object.get_self()\\n routes = openshift_object.get_routes()\\n nodes = openshift_object.get_nodes()\\n pvc = openshift_object.get_pvcs()\\n pv = openshift_object.get_pv()\\n project = openshift_object.get_projects()\\n return jsonify({\\n \\\"pods\\\": pods,\\n \\\"me\\\": me,\\n \\\"routes\\\": routes, \\n \\\"nodes\\\":nodes,\\n \\\"pvcs\\\":pvc,\\n \\\"pv\\\":pv,\\n \\\"projects\\\":project})\",\n \"def main():\\n spark = create_spark_session()\\n input_data = \\\"s3a://udacity-dend/\\\"\\n output_data = \\\"data/analytics\\\"\\n \\n process_song_data(spark, input_data, output_data) \\n process_log_data(spark, input_data, output_data)\",\n \"def getInitialData(nsmapi):\\r\\n # Done 6-1-2020\\r\\n # TODO extract ids not using the regex?\\r\\n initData = {}\\r\\n\\r\\n url = f\\\"/healthcheck\\\"\\r\\n print(\\\"Running basic healthcheck\\\")\\r\\n healthcheckData = nsmapi.call(url, method=\\\"PUT\\\", message='{\\\"id\\\":[\\\"default\\\"]}')\\r\\n initData[\\\"healthcheck\\\"] = healthcheckData\\r\\n\\r\\n for i in range(20):\\r\\n print(f\\\".\\\", end=\\\"\\\", flush=True)\\r\\n time.sleep(.5)\\r\\n print(\\\"\\\")\\r\\n\\r\\n print(\\\"Getting initial sensor data\\\")\\r\\n url = \\\"/sensors\\\"\\r\\n basicData = json.dumps(nsmapi.call(url))\\r\\n dataType = url[1:].replace(\\\"/\\\", \\\"_\\\")\\r\\n initData[dataType] = []\\r\\n for id in re.findall(\\\"\\\\\\\"sensorId\\\\\\\":.*?, \\\\\\\"name\\\\\\\":.*?,\\\", basicData):\\r\\n if id[-1] == \\\",\\\":\\r\\n id = id[:-1]\\r\\n id = id.replace(\\\"\\\\\\\"\\\", \\\"\\\")\\r\\n id = id.replace(\\\": \\\", \\\":\\\")\\r\\n num, name = id.split(\\\",\\\")\\r\\n num = num.split(\\\":\\\")[-1]\\r\\n name = name.split(\\\":\\\")[-1]\\r\\n idName = f\\\"{num},{name}\\\"\\r\\n initData[dataType].append(idName)\\r\\n\\r\\n print(\\\"Getting initial domain data\\\")\\r\\n url = \\\"/domain\\\"\\r\\n basicData = json.dumps(nsmapi.call(url))\\r\\n dataType = url[1:].replace(\\\"/\\\", \\\"_\\\")\\r\\n initData[dataType] = []\\r\\n for id in re.findall(\\\"\\\\\\\"id\\\\\\\":.*?, \\\\\\\"name\\\\\\\":.*?,\\\", basicData):\\r\\n if id[-1] == \\\",\\\":\\r\\n id = id[:-1]\\r\\n id = id.replace(\\\"\\\\\\\"\\\", \\\"\\\")\\r\\n id = id.replace(\\\": \\\", \\\":\\\")\\r\\n num, name = id.split(\\\",\\\")\\r\\n num = num.split(\\\":\\\")[-1]\\r\\n name = name.split(\\\":\\\")[-1]\\r\\n idName = f\\\"{num},{name}\\\"\\r\\n initData[dataType].append(idName)\\r\\n\\r\\n policyURLs = [\\r\\n \\\"/domain/{domainId}/ipspolicies\\\",\\r\\n \\\"/domain/{domainId}/firewallpolicy\\\",\\r\\n \\\"/domain/{domainId}/connectionlimitingpolicies\\\",\\r\\n \\\"/domain/{domainId}/qospolicy\\\",\\r\\n \\\"/protectionoptionspolicy\\\",\\r\\n \\\"/domain/{domainId}/malwarepolicy\\\",\\r\\n \\\"/domain/{domainId}/policygroups\\\"\\r\\n ]\\r\\n\\r\\n print(\\\"Getting initial policy data\\\")\\r\\n initData[\\\"policy\\\"] = {}\\r\\n for domain in initData[\\\"domain\\\"]:\\r\\n domainId, domainName = domain.split(\\\",\\\")\\r\\n initData[\\\"policy\\\"][domainId] = {}\\r\\n for url in policyURLs:\\r\\n url = url.replace(\\\"{domainId}\\\", domainId)\\r\\n policyData = nsmapi.call(url)\\r\\n key = list(policyData.keys())[0]\\r\\n policyType = url.split(\\\"/\\\")[-1].replace(\\\"policy\\\", \\\"\\\").replace(\\\"policies\\\", \\\"\\\")\\r\\n initData[\\\"policy\\\"][domainId][policyType] = []\\r\\n for policy in policyData[key]:\\r\\n policy = json.dumps(policy)\\r\\n # pattern = \\\"\\\\\\\"([^\\\\\\\"]*?)(id|ID|iD|Id){0,1}(name){0,1}\\\\\\\": (.*?),\\\" - don't seem to work\\r\\n # extracted = re.findall(pattern, policy) - don'tens seem to works\\r\\n # initData[\\\"policy\\\"][domainId][policyType][\\\"full\\\"] = policy\\r\\n for polK, polV in json.loads(policy).items():\\r\\n if \\\"omain\\\" not in polK.lower():\\r\\n if \\\"name\\\" in polK.lower():\\r\\n name = polV\\r\\n elif \\\"id\\\" in polK.lower():\\r\\n id = polV\\r\\n initData[\\\"policy\\\"][domainId][policyType].append((id,name))\\r\\n\\r\\n print(\\\"Got Initial Data\\\")\\r\\n\\r\\n return initData\",\n \"def test():\\n temp_data = fetch_temp_data(\\n (\\\"https://opendata-download-metobs.smhi.se/api/version/\\\" +\\n \\\"latest/parameter/1/station/52350/period/latest-day/data.json\\\"))\\n data = temp_series(temp_data)\\n print(data)\",\n \"def main(args):\\n\\n if args['verbose']:\\n logging.basicConfig(level=logging.DEBUG)\\n else:\\n if args['quiet']:\\n logging.basicConfig(level=logging.ERROR)\\n else:\\n logging.basicConfig(level=logging.WARNING)\\n\\n # unpack args\\n\\n json_file = args['JSONfile']\\n data_dir = args['data_directory']\\n temp_file = args['tmp']\\n release = args['release']\\n\\n if json_file:\\n json_data = get_json_data(json_file)\\n else:\\n logging.log(logging.DEBUG, \\\"Preparing to download JSONfile\\\")\\n if os.path.isfile(temp_file):\\n logging.log(logging.WARNING, \\\"Removing file %s\\\" % temp_file)\\n os.remove(temp_file)\\n logging.log(logging.DEBUG, \\\"Issuing wget for JSON file\\\")\\n args = ['wget', 'https://security-tracker.debian.org/tracker/data/json',\\n '-O', temp_file]\\n if os.path.isdir('/etc/ssl'):\\n if os.path.isdir('/etc/ssl/ca-debian'):\\n args.insert(1, '--ca-directory=/etc/ssl/ca-debian')\\n call(args)\\n logging.log(logging.DEBUG, \\\"File %s received\\\" % temp_file)\\n json_data = get_json_data(temp_file)\\n if os.path.isfile(temp_file):\\n logging.log(logging.DEBUG, \\\"Removing file %s\\\" % temp_file)\\n os.remove(temp_file)\\n\\n parseJSON(json_data, release)\\n parsedirs(data_dir, re.compile('^dsa.+\\\\.data$'), 2, release)\\n parsedirs(data_dir, re.compile('^dla.+\\\\.data$'), 2, release)\\n logging.log(logging.INFO, \\\"Finished parsing JSON data\\\")\\n printdsas(ovals)\",\n \"def main():\\n remote_folder = '/s3mnt/carla-rl/outputs'\\n local_folder = '/home/jeremy/Insight/Project'\\n dns = get_publicdns()\\n\\n print(\\\"fetching data from server...\\\")\\n os.system('rsync=$(/home/jeremy/.scripts_custom/rsync_pull_aws \\\\\\n ubuntu@{} {} {})'.format(dns, remote_folder,\\n local_folder))\\n print(\\\"pulled from {} to {}\\\".format(remote_folder,\\n local_folder))\",\n \"def main():\\n print('<<< Spotify Parser >>>')\\n print('-'*101)\\n spotify_api.get_json_file(JSON_TRACK_FILE, TRACK, 'track', CLIENT_ID, CLIENT_SECRET)\\n parse_json_track(JSON_TRACK_FILE)\\n print('-'*101)\\n spotify_api.get_json_file(JSON_ARTIST_FILE, ARTIST, 'artist', CLIENT_ID, CLIENT_SECRET)\\n parse_json_artist(JSON_ARTIST_FILE)\\n print('-'*101)\",\n \"def download():\\r\\n reader = GSODDataReader()\\r\\n year_list = range(2001, 2012)\\r\\n austin = reader.collect_data(year_list, exact_station=True,\\r\\n station_name='AUSTIN CAMP MABRY', state='TX', country='US')\\r\\n houston = reader.collect_data(year_list, exact_station=True,\\r\\n station_name='HOUSTON/D.W. HOOKS', state='TX', country='US')\\r\\n new_york = reader.collect_data(year_list, exact_station=True,\\r\\n station_name='NEW YORK/LA GUARDIA', state='NY', country='US')\\r\\n newark = reader.collect_data(year_list, exact_station=True,\\r\\n station_name='NEWARK INTL AIRPORT', state='NJ', country='US')\\r\\n punta_arenas = reader.collect_data(year_list, exact_station=True,\\r\\n station_name='PUNTA ARENAS', country='CH')\\r\\n wellington = reader.collect_data(year_list, exact_station=True,\\r\\n station_name='WELLINGTON AIRPORT', country='NZ')\\r\\n store = HDFStore('weather.h5')\\r\\n store['austin'] = austin\\r\\n store['houston'] = houston\\r\\n store['nyc'] = new_york\\r\\n store['newark'] = newark\\r\\n store['punta_arenas'] = punta_arenas\\r\\n store['wellington'] = wellington\\r\\n store.close()\",\n \"def main():\\n # First grab data from db\\n engine = create_engine(\\\"sqlite:///cities.db\\\")\\n session = Session(bind=engine)\\n # Grab all data from flat stats table\\n query = session.query(FlatStat).all()\\n\\n X = transform_to_np_array(query)\\n\\n # Run dbscan now\\n results = DBSCAN(eps=2, min_samples=10).fit(X)\\n\\n # TODO: get matplotlib in here, but for now, just print all properties of dbscan\\n print(results.__dict__)\",\n \"def main():\\n #Set up objects\\n client = BigQueryClient()\\n writer = FileWriter()\\n\\n #Send data from big query to a given file.\\n # 500 is the limit of data points fetched.\\n client.produce_json_data(writer, 500)\",\n \"def fetch_zenodo(self):\\n\\n # full path to the stitches root directory where the example dir will be stored\\n if self.data_dir is None:\\n data_directory = pkg_resources.resource_filename('stitches', 'data')\\n else:\\n data_directory = self.data_dir\\n\\n # build needed subdirectories if they do not already exist\\n tas_data_path = os.path.join(data_directory, \\\"tas-data\\\")\\n temp_data_path = os.path.join(data_directory, \\\"temp-data\\\")\\n if not os.path.exists(tas_data_path):\\n os.mkdir(tas_data_path)\\n if not os.path.exists(temp_data_path):\\n os.mkdir(temp_data_path)\\n\\n # get the current version of stitches that is installed\\n current_version = pkg_resources.get_distribution('stitches').version\\n\\n try:\\n data_link = InstallPackageData.DATA_VERSION_URLS[current_version]\\n\\n except KeyError:\\n msg = f\\\"Link to data missing for current version: {current_version}. Using default version: {InstallPackageData.DEFAULT_VERSION}\\\"\\n\\n data_link = InstallPackageData.DEFAULT_VERSION\\n\\n print(msg)\\n\\n # retrieve content from URL\\n print(\\\"Downloading example data for stitches version {}. This may take a few minutes...\\\".format(current_version))\\n response = requests.get(data_link)\\n\\n with zipfile.ZipFile(BytesIO(response.content)) as zipped:\\n\\n # extract each file in the zipped dir to the project\\n for f in zipped.namelist():\\n\\n extension = os.path.splitext(f)[-1]\\n\\n # Extract only the csv and nc files\\n if all([len(extension) > 0, extension in (\\\".csv\\\", \\\".nc\\\")]):\\n\\n basename = os.path.basename(f)\\n\\n # Check to see if tas-data is in the file path\\n if \\\"tas-data\\\" in f:\\n basename = os.path.join(\\\"tas-data\\\", basename)\\n\\n out_file = os.path.join(data_directory, basename)\\n\\n # extract to a temporary directory to be able to only keep the file out of the dir structure\\n with tempfile.TemporaryDirectory() as tdir:\\n\\n # extract file to temporary directory\\n zipped.extract(f, tdir)\\n\\n # construct temporary file full path with name\\n tfile = os.path.join(tdir, f)\\n\\n print(f\\\"Unzipped: {out_file}\\\")\\n # transfer only the file sans the parent directory to the data package\\n shutil.copy(tfile, out_file)\",\n \"def sourcenews(source):\\n\\turlnews=urlsource\\n\\turl=urlnews+source\\n\\turlapi=url+'&'+'apiKey='\\n\\turlsour=urlapi+apikey\\n\\tresponse=requests.get(urlsour)\\n\\tdata=response.json()\\n\\treturn data\",\n \"def main():\\n query_dp = SampleQueryDataPointsPredicate()\\n query_dp.run()\",\n \"def GetData(self):\\r\\n if self.Error == False:\\r\\n Extra = {}\\r\\n try:\\r\\n result = {}\\r\\n temp = self.ScrapeMainWebpage()\\r\\n if temp != None:\\r\\n result.update(temp)\\r\\n temp = self.ScrapeParameters1Webpage()\\r\\n if temp != None:\\r\\n result.update(temp)\\r\\n temp = self.ScrapeParameters2Webpage()\\r\\n if temp != None:\\r\\n result.update(temp)\\r\\n temp = self.ScrapeStatusWebpage()\\r\\n if temp != None:\\r\\n result.update(temp)\\r\\n sqlArray = {}\\r\\n sqlArray[self.deviceDescr] = {}\\r\\n sqlArray[self.deviceDescr][self.devNumber] = {}\\r\\n sqlArray[self.deviceDescr][self.devNumber][\\\"General\\\"] = result\\r\\n sqlArray[self.deviceDescr][self.devNumber][\\\"_ExtractInfo\\\"] = {}\\r\\n sqlArray[self.deviceDescr][self.devNumber][\\\"_ExtractInfo\\\"][\\\"ExtractTime\\\"] = time.time()\\r\\n sqlArray[\\\"ReadError\\\"] = False \\r\\n return sqlArray\\r\\n \\r\\n except Exception as e: \\r\\n self.log.printError(\\\"ERROR in Retreiving Seatel VSAT Data,%s Module Error\\\" % sys._getframe().f_code.co_name) \\r\\n self.log.printError( str(e))\\r\\n self.Error = True\\r\\n Extra[\\\"ReadError\\\"] = True\\r\\n return Extra\\r\\n else:\\r\\n self.log.printWarning(\\\"%s skipped due to previous failure\\\" % sys._getframe().f_code.co_name)\\r\\n return None\",\n \"def main():\\n spark = create_spark_session()\\n input_data = \\\"s3a://udacity-dend/\\\"\\n output_data = \\\"s3a://udacity-data-lake/output/\\\"\\n\\n process_song_data(spark, input_data, output_data)\\n process_log_data(spark, input_data, output_data)\",\n \"def main():\\n\\n # Start and import data\\n print('>>>>> START')\\n dates, prices, price_diff = get_data('data.csv')\\n indices = [i for i in range(0, len(prices))]\\n \\n # Quick filtering to enable good visualization\\n # This section can be commented if wished\\n delete_outlayers(dates, price_diff)\\n delete_outlayers(prices, price_diff)\\n delete_outlayers(indices, price_diff)\\n price_diff.remove(max(price_diff))\\n price_diff.remove(min(price_diff))\\n print('>>>>> STATUS: DATA FORMATTING DONE')\\n\\n # Model and prediction\\n predicted_price = predict_price(indices, dates, price_diff, 1829)\\n print('RESULTING PREDICTION = ', (predicted_price * -1) + prices[0])\\n print('>>>>> DONE')\",\n \"def get_sdata(self):\\n payload = self.get('data_request?id=sdata&output_format=json')\\n return payload\",\n \"def on_get(self, req, resp):\\n sample = load_data()\\n\\n print(sample.base.describe())\\n resp.status = falcon.HTTP_200\\n\\n frame_str = str(sample.base.describe()) + \\\"\\\\n\\\"\\n resp.body = frame_str\\n # resp.body = sample.base.describe()\",\n \"def process_cmd():\\n web_scraper = SainsburyWebscraper()\\n logger.info(\\\"Sainsbury web scraper initialized and loaded data from SainsburyWebscraper\\\")\\n\\n json_data = web_scraper.get_product_data()\\n logger.info(\\\"Found %s products with the following data:\\\" % len(json_data[\\\"results\\\"]))\\n print json.dumps(json_data, indent=4, sort_keys=True)\",\n \"def _fetch_data(self, samples):\\n pass\",\n \"def feed() -> None:\\n ...\",\n \"def main() -> None:\\n ROOT_DIR = dirname(abspath(__file__))\\n spark = create_spark_session()\\n input_data = 's3a://udacity-dend/'\\n output_data = ROOT_DIR + '/data/'\\n\\n process_song_data(spark, input_data, output_data)\\n process_log_data(spark, input_data, output_data)\",\n \"def main():\\n\\n print(\\\"Initiating Spark session...\\\")\\n print('-' * 50)\\n spark = create_spark_session()\\n \\n # Use these settings if you want to test on the full\\n # dataset, but it takes a LONG time.\\n song_input_data = config['AWS']['SONG_DATA']\\n log_input_data = config['AWS']['LOG_DATA']\\n \\n # Uncomment the two lines if you want to test on\\n # minimal data\\n #song_input_data = config['AWS']['SINGLE_SONG_DATA']\\n #log_input_data = config['AWS']['SINGLE_LOG_DATA']\\n \\n output_data = config['AWS']['OUTPUT_DATA']\\n \\n print('-' * 50)\\n print(\\\"Processing song data...\\\")\\n print('-' * 50)\\n print('')\\n process_song_data(spark, song_input_data, output_data)\\n \\n print('-' * 50) \\n print(\\\"Processing log data...\\\")\\n print('-' * 50)\\n print('')\\n process_log_data(spark, song_input_data, log_input_data, output_data)\",\n \"def _fetch_data(self):\\n pass\",\n \"def get_data(self):\\n pass\",\n \"def get_data(self):\\n pass\",\n \"def main():\\n spark = create_spark_session()\\n input_data = \\\"s3a://udacity-dend/\\\"\\n output_data = \\\"s3a://udacity-nanodegree-data-engineer/\\\"\\n \\n process_song_data(spark, input_data, output_data) \\n process_log_data(spark, input_data, output_data)\",\n \"def get():\",\n \"def get():\",\n \"def main():\\n right_now = get_current_datetime()\\n # print(right_now)\\n existing_dict, unique_exist = get_sensor_dict()\\n # print(type(existing_dict))\\n # print()\\n # print(sorted(unique_exist))\\n whats_up_list = query_the_api()\\n # print(whats_up_list)\\n found = filter_json(whats_up_list)\\n # print(found)\\n lost_new_stillthere(sorted(unique_exist), found, existing_dict, right_now)\",\n \"def main():\\n\\n with open(\\\".auth_token\\\", mode=\\\"r\\\") as tokenfile:\\n authtoken = tokenfile.read().strip()\\n\\n # Initialize connection to Archivist\\n aconn = Archivist(\\n \\\"https://soak-0-avid.engineering-k8s-stage-2.dev.wild.jitsuin.io\\\",\\n auth=authtoken,\\n )\\n # Get all assets with required attributes and properties\\n props = {\\\"confirmation_status\\\": \\\"CONFIRMED\\\"}\\n attrs = {\\\"arc_display_type\\\": \\\"Traffic light\\\"}\\n for event in aconn.events.list(asset_id=\\\"assets/-\\\", props=props, attrs=attrs):\\n print(\\\"event\\\", event)\\n\\n # alternatively one could pull the list and cache locally...\\n events = aconn.events.list(asset_id=\\\"assets/-\\\", props=props, attrs=attrs)\\n for event in events:\\n print(\\\"event\\\", event)\",\n \"def main(self):\\n question = Parser(self.question)\\n latitude = 0\\n longitude = 0\\n address = \\\"Bonjour, je vais bien merci !\\\"\\n history = self._get_papy_sentence()\\n article_title = \\\"\\\"\\n location = question.get_location()\\n google = GoogleApi(location, self.google_key)\\n google_response = google.parse()\\n if question.get_verification():\\n latitude = google_response['latitude']\\n longitude = google_response['longitude']\\n address = google_response['address']\\n if google_response['status'] == \\\"OK\\\":\\n wiki = WikiApi(google_response['latitude'],\\n google_response['longitude'])\\n wiki_response = wiki.parse()\\n if wiki_response['status'] == \\\"OK\\\":\\n history = wiki_response['history']\\n article_title = wiki_response['article_title']\\n\\n self.response_grandpy = {\\n 'latitude': latitude,\\n 'longitude': longitude,\\n 'address': address,\\n 'history': history,\\n 'article_title': article_title\\n }\\n return self.response_grandpy\",\n \"def main(self):\\n\\n args = self.parser.parse_args()\\n # Little magic/abomination to avoid a if-else\\n # funct == search_all or search_any\\n funct = getattr(self, \\\"search_\\\" + args.search_funct) \\n cache_file_path = self.get_cache_file_path()\\n\\n # If cache is missing or user asked to force an update\\n # then scrape the wiki\\n if not os.path.isfile( cache_file_path ) or args.update:\\n self.data_values = WikiTableScraper().scrapeTables()\\n pickle.dump( self.data_values, open( cache_file_path, \\\"wb\\\" ) )\\n # else load the minecraft objects from cache\\n else:\\n self.data_values = pickle.load( open( cache_file_path, \\\"rb\\\" ) )\\n\\n # call the search function (will return list of ids)\\n for k in funct(args.words):\\n print k.ljust(4), # Don't print a newline\\n # Don't print the name if user requested only id's\\n if not args.only_id:\\n print self.data_values[k],\\n print # print the newline now\",\n \"def get_data():\\n log = common.LogFile('', LOGFILE)\\n settings = load_settings()\\n keywords = settings[\\\"keywords\\\"]\\n api_key = settings[\\\"api_key\\\"]\\n for keyword in keywords:\\n print(\\\"[{}] : fetching data.\\\".format(keyword))\\n filename = \\\"results_{0}.json\\\".format(keyword)\\n results = {}\\n hits_limit = 500\\n start_at = 1\\n counter = 0\\n while True:\\n url = create_url(keyword, hits_limit, start_at, api_key)\\n records = get_records_from_url(url)\\n total_results = get_total_hits(records)\\n records = split_records(records)\\n records_on_page = len(records)\\n if records_on_page == 0:\\n break\\n else:\\n for record in records:\\n counter += 1\\n id_no = extract_id_number(record)\\n processed_dict = {'ID': id_no, 'problem': []}\\n processed_record = parse_record(\\n record, processed_dict, log)\\n if id_no not in results:\\n results[id_no] = processed_record\\n if counter % 100 == 0:\\n print(\\\"Processed {} out of {}\\\".format(\\n counter, total_results))\\n start_at += hits_limit\\n time.sleep(THROTTLE)\\n print(\\\"[{}] : fetched {} records to {}.\\\".format(\\n keyword, len(results), filename))\\n save_data(results, filename)\",\n \"def apicall():\\r\\n# try:\\r\\n print request.get_json()\\r\\n test_json = request.get_json()\\r\\n logger.info(\\\"input json object loaded\\\")\\r\\n logger.info(test_json)\\r\\n k=MetaData(test_json)\\r\\n int_res=k.getData()\\r\\n print '------------------------------'\\r\\n print int_res\\r\\n return jsonify(int_res)\",\n \"def main(self, name):\\n\\t\\tapi_results = [] \\n\\t\\tparams = self.get_search_parameters(name)\\n\\t\\tapi_results.append(self.api_connect(params))\\n\\t\\ttime.sleep(1.0)\\n\\t\\tkey = api_results[0]['businesses'][0]\\n\\t\\tbusiness_information = [key['name'], self.phone_number_organizer(key), key['rating'],\\\\\\n\\t\\tkey['review_count']]\\n\\t\\treturn business_information\",\n \"def main():\\n\\n # generate a token, we will be sending several queries off\\n token = gen_token()\\n # build the query string\\n s_d, e_d = prev_quarter_boundaries(datetime.datetime.utcnow())\\n s_str = s_d.strftime(\\\"%Y-%m-%d\\\")\\n e_str = e_d.strftime(\\\"%Y-%m-%d\\\")\\n query_str = (\\n 'filingsource:\\\"Taiwan TWSE\\\" AND ' +\\n 'enddate:[' + s_str + ' TO ' +\\n e_str + ']'\\n )\\n # pull docs\\n docs_res = documents_stringquery(query_str, False, token=token)\\n # read out number of hits\\n num_filings = docs_res['totalHits']\\n # print it out\\n print('Filing count from last quarter: ' + str(num_filings))\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument(\\\"datafile\\\", help=\\\"Name of JSON file containing WP3-mapped metadata\\\")\\n parser.add_argument(\\\"csvfile\\\", help=\\\"Corrected CSV file\\\")\\n parser.add_argument(\\\"vcffile\\\", help=\\\"VCF file with samples\\\")\\n args = parser.parse_args()\\n\\n samples = vcf_samples(args.vcffile)\\n\\n with open(args.datafile, 'r') as infile:\\n data = json.load(infile)\\n\\n if not data:\\n print(f\\\"Error reading data file {args.datafile}.\\\", file=sys.stderr)\\n return\\n\\n with open(args.csvfile, newline='') as csvfile:\\n reader = csv.DictReader(csvfile)\\n for idx, row in enumerate(reader):\\n data[idx][\\\"physiologicalMeasurements\\\"][\\\"anthropometry\\\"][\\\"weight\\\"] = [str(float(row['birth_weight_g'])/1000.), row['sbjt_weight_kg']]\\n data[idx][\\\"physiologicalMeasurements\\\"][\\\"anthropometry\\\"][\\\"height\\\"] = [row['height_cm'], row['sbjt_length_cm']]\\n data[idx][\\\"physiologicalMeasurements\\\"][\\\"circulationAndRespiration\\\"][\\\"bloodPressure\\\"] = [row['sbjt_blood_pressure_systolic']]\\n if len(samples) > idx:\\n data[idx][\\\"sample\\\"] = samples[idx]\\n\\n print(json.dumps(data))\",\n \"def main():\\n # Take login credentials from the command line if provided\\n # Otherwise, take them from your environment variables file ~/.profile\\n description = ('Simple application that logs on to the APIC'\\n ' and displays all of the Subnets.')\\n creds = Credentials('apic', description)\\n creds.add_argument('--tenant', help='The name of Tenant')\\n args = creds.get()\\n\\n # Login to APIC\\n session = Session(args.url, args.login, args.password)\\n resp = session.login()\\n if not resp.ok:\\n print('%% Could not login to APIC')\\n\\n # Download all of the tenants, app profiles, and Subnets\\n # and store the names as tuples in a list\\n tenants = Tenant.get(session)\\n for tenant in tenants:\\n check_longest_name(tenant.name, \\\"Tenant\\\")\\n if args.tenant is None:\\n get_subnet(session, tenant)\\n else:\\n if tenant.name == args.tenant:\\n get_subnet(session, tenant)\\n\\n # Display the data downloaded\\n template = '{0:' + str(longest_names[\\\"Tenant\\\"]) + '} ' \\\\\\n '{1:' + str(longest_names[\\\"Bridge Domain\\\"]) + '} ' \\\\\\n '{2:' + str(longest_names[\\\"Subnet\\\"]) + '} ' \\\\\\n '{3:' + str(longest_names[\\\"Scope\\\"]) + '}'\\n print(template.format(\\\"Tenant\\\", \\\"Bridge Domain\\\", \\\"Subnet\\\", \\\"Scope\\\"))\\n print(template.format('-' * longest_names[\\\"Tenant\\\"],\\n '-' * longest_names[\\\"Bridge Domain\\\"],\\n '-' * longest_names[\\\"Subnet\\\"],\\n '-' * longest_names[\\\"Scope\\\"]))\\n for rec in sorted(data):\\n print(template.format(*rec))\",\n \"def get_data(self):\\r\\n pass\",\n \"def fetch_inspect_data(filename, output, db_url=None):\\n r2dt.write_training_data(filename, db_url, output)\",\n \"def main():\\n data = get_sales_data()\\n sales_data = [int(num) for num in data]\\n update_worksheet(sales_data, 'sales')\\n new_surplus_data = calculate_surplus_sandwiches(sales_data)\\n update_worksheet(new_surplus_data, 'surplus')\\n list_of_last_five_sales = get_last_five_sales_entries()\\n stock_data = get_average_sales(list_of_last_five_sales)\\n update_worksheet(stock_data, 'stock')\\n return stock_data\",\n \"def main():\\n with requests.get(API_URL) as response:\\n response.raise_for_status()\\n data = response.json()\\n\\n title = data[\\\"title\\\"]\\n extract = data[\\\"extract\\\"]\\n\\n click.secho(title, fg=\\\"green\\\")\\n click.echo(textwrap.fill(extract))\",\n \"def main():\\n #bearer_token = obtain_bearer_token(API_HOST, TOKEN_PATH)\\n bearer_token ='SHdrjUqMJXqXBKUc7bGIplM8y6tnbwZbXXDbWPCd9wWMP8tX9PdJrC5MZHwJRhb7jMtLjXxT-hsWjNf2OkdiDWd30HsS84AVI5iRnrpxkak3HbWXAdUKvraQ_wgXWXYx'\\n response = transaction_search(bearer_token, '1910 Entrepreneur Dr, Raleigh, NC 27518')\\n response = response.get('businesses')\\n print(json.dumps(response, indent=4))\",\n \"def retrieve(self, sid):\\n zx = \\\"\\\".join([chr(random.randint(97,122)) for i in xrange(0, 11)])\\n resdat = wavehttp.get(\\\"wave.google.com\\\", \\n \\\"/wave/wfe/channel?VER=6&RID=rpc&SID=\\\"+sid+\\n \\\"&CI=0&AID=0&TYPE=xmlhttp&zx=\\\"+zx+\\\"&t=1\\\").read()\\n file(\\\"./tempdata\\\",\\\"w+\\\").write(resdat)\\n print resdat\",\n \"def execute(self):\\n logging.info(\\\"Gathering scorecard data for [%s]\\\", str(self.package_url))\\n\\n source_repo = self.get_source_repository()\\n if not source_repo:\\n return\\n\\n token = self.get_api_token(\\\"github\\\")\\n if not token:\\n logging.warning(\\\"Unable to retrieve Github token.\\\")\\n return\\n\\n try:\\n result = subprocess.run(\\n f'docker run --rm -it --env \\\"GITHUB_AUTH_TOKEN={token}\\\" docker.io/library/scorecard --repo={source_repo} --format json',\\n shell=True,\\n stdout=subprocess.PIPE,\\n )\\n scorecard_output = result.stdout.decode(\\\"utf-8\\\")\\n scorecard_output = scorecard_output[scorecard_output.find(\\\"{\\\") :]\\n js = json.loads(scorecard_output)\\n\\n payloads = []\\n\\n for check in js.get(\\\"Checks\\\", []):\\n check_name = check.get(\\\"CheckName\\\", \\\"\\\").lower().strip()\\n if not check_name:\\n continue\\n pass_value = str(check.get(\\\"Pass\\\", False)).lower()\\n\\n payload = {\\n \\\"package_url\\\": str(self.package_url),\\n \\\"operation\\\": \\\"replace\\\",\\n \\\"key\\\": f\\\"openssf.scorecard.raw.{check_name}\\\",\\n \\\"values\\\": [{\\\"value\\\": pass_value, \\\"properties\\\": check}],\\n }\\n payloads.append(payload)\\n\\n res = requests.post(self.METRIC_API_ENDPOINT, json=payloads, timeout=120)\\n if res.status_code == 200:\\n logging.info(\\\"Success: %s\\\", res.text)\\n else:\\n logging.warning(\\\"Failure: status code: %s\\\", res.status_code)\\n\\n except Exception as msg:\\n logging.warn(\\\"Error processing Scorecard data: %s\\\", msg)\\n raise\",\n \"def get_input_data(sample):\\n with checkpoints.query_portal.get(sample=sample).output[0].open() as f:\\n data = json.read(f)\\n return data\",\n \"def extract_data():\\n args = arguments()\\n\\n if args.list is not None:\\n songs = utility.get_songs(args.list)\\n logger.debug(str(songs))\\n if len(songs) != 0:\\n logger.info(\\\"Downloading songs in {}\\\".format(args.list))\\n for song_name in songs:\\n logger.debug(song_name)\\n args.SONG_NAME = [song_name]\\n main(args)\\n else:\\n logger.info(\\\"{}: is empty\\\".format(args.list))\\n elif args.SONG_NAME and yt.is_playlist(args.SONG_NAME[0]):\\n logger.info(\\\"Youtube playlist passed...extracting!\\\")\\n songs, playlist_name = yt.get_playlist(\\n args.SONG_NAME[0],\\n args.proxy,\\n args.pl_start,\\n args.pl_end,\\n args.pl_items\\n )\\n\\n # Check if data is actually returned\\n if songs is None:\\n logger.error(\\\"Couldn't extract playlist data!\\\")\\n\\n logger.info(\\\"Playlist: {}\\\".format(playlist_name))\\n logger.info(\\\"{} songs found\\\".format(len(songs)))\\n\\n # Iterate and work on the data.\\n url_base = \\\"https://www.youtube.com/watch?v=\\\"\\n for song in songs:\\n args.url = url_base + song[\\\"url\\\"]\\n\\n # Try to pass the title as well, if it's not there\\n # that will be handled by ytmdl\\n try:\\n args.SONG_NAME = [stringutils.remove_yt_words(song[\\\"title\\\"])]\\n except KeyError:\\n pass\\n\\n main(args)\\n else:\\n main(args)\",\n \"def main():\\n # the url for african daily and global daily\\n african_dialy_url = \\\"https://data.chc.ucsb.edu/products/CHIRPS-2.0/africa_daily/tifs/p25/\\\"\\n global_daily_url = \\\"https://data.chc.ucsb.edu/products/CHIRPS-2.0/global_daily/tifs/p25/\\\"\\n\\n\\n each_year_list = GetRasterYears(url=african_dialy_url)\\n new_path = makenewdir(each_year_list)\\n years_new_list = fecthrasterurl(url=african_dialy_url)\\n downloadwithwget(each_year_list, years_new_list, new_path)\",\n \"def get_filters():\\n print('Hello! Let\\\\'s explore some US bikeshare data!')\",\n \"def main():\\r\\n args = get_command_line_args()\\r\\n settings = read_settings(args)\\r\\n \\r\\n census_api_key = settings['census_api_key']\\r\\n state = settings['state']\\r\\n district = settings['district']\\r\\n leg_body = settings['leg_body']\\r\\n census_year = settings['census_year']\\r\\n election_year = settings['election_year']\\r\\n voting_precincts_file = settings['voting_precincts']\\r\\n voting_results_file = settings['voting_results']\\r\\n \\r\\n find_blockgroups_in_district(\\r\\n state=state,\\r\\n district=district,\\r\\n leg_body=leg_body,\\r\\n year=census_year\\r\\n )\\r\\n\\r\\n categories, district_data = make_district_data(\\r\\n api=census_api_key,\\r\\n state=state,\\r\\n district=district,\\r\\n leg_body=leg_body,\\r\\n year=census_year\\r\\n )\\r\\n\\r\\n # Estimate voting precinct data based on block group data\\r\\n district_data = make_voting_precinct_data(\\r\\n district_data=district_data, \\r\\n categories=categories,\\r\\n state=state,\\r\\n district=district,\\r\\n leg_body=leg_body,\\r\\n year=census_year,\\r\\n voting_precincts_file=voting_precincts_file\\r\\n )\\r\\n\\r\\n categories, district_data = make_voting_results_data(\\r\\n categories=categories, \\r\\n district_data=district_data, \\r\\n state=state, \\r\\n district=district, \\r\\n leg_body=leg_body, \\r\\n election_year=election_year,\\r\\n census_year=census_year,\\r\\n voting_precincts_file=voting_precincts_file, \\r\\n voting_results_file=voting_results_file\\r\\n )\\r\\n\\r\\n to_json(district_data, \\\"static/data/district-data.json\\\")\\r\\n to_json(categories, \\\"static/data/categories.json\\\")\",\n \"def main():\\n parser = argparse.ArgumentParser()\\n parser.add_argument('--allData', default='', action='store', nargs='+',\\n help=\\\"add train test validation dataset together\\\")\\n parser.add_argument('--topic', default='', help=\\\"target topic\\\")\\n parser.add_argument('--contentWordNumber', default='', help=\\\"threshold for content Word Number\\\")\\n parser.add_argument('--returnNSents', default='', help=\\\"top N sentences\\\")\\n\\n args = parser.parse_args()\\n data = loadData(args.allData, args.topic, args.contentWordNumber)\\n allDataDic, targetTweets = data.readData()\\n \\\"\\\"\\\"\\n ##modify at def_processing, re-run below line##\\n outputDB = data.processing(allDataDic)\\n with open(ROOT.DATA_ROOT+'/'+'allDataDic.txt', 'w') as file:\\n file.write(json.dumps(outputDB))\\n \\\"\\\"\\\"\\n\\n targData = data.processing(targetTweets)\\n outputDB = json.load(open(ROOT.DATA_ROOT + '/allDataDic.txt'))\\n contentWords = data.tfidf(outputDB, targData)\\n return targetTweets,targData, contentWords\",\n \"def executeScriptToGetData():\\n ulv = random.randrange(42, 420)\\n llv = random.randrange(42, 420)\\n urv = random.randrange(42, 420)\\n lrv = ulv + llv + urv\\n return {\\n 'title': random.choice(['Sensors title', None]),\\n 'description': random.choice(['Sensors description', None]),\\n 'big-value': random.randrange(214, 514),\\n 'upper-left-label': 'Critical:',\\n 'upper-left-value': ulv,\\n 'lower-left-label': 'Major:',\\n 'lower-left-value': llv,\\n 'upper-right-label': 'Minor:',\\n 'upper-right-value': urv,\\n 'lower-right-label': 'All:',\\n 'lower-right-value': lrv\\n }\",\n \"def get_data(stage=0):\\n return get_files(stage)[1]\",\n \"def main():\\n spark = create_spark_session()\\n\\n # Used for local testing - commented out\\n # input_data = \\\"./data/\\\"\\n # output_data = \\\"./data/\\\"\\n input_data = \\\"s3a://udacity-dend/\\\"\\n output_data = \\\"s3a://allen-lesson4-datalake-bucket/\\\"\\n\\n process_song_data(spark, input_data, output_data)\\n process_log_data(spark, input_data, output_data)\\n spark.stop()\",\n \"def main():\\n app_environment = os.getenv(\\\"APP_ENV\\\", \\\"local\\\").strip().lower()\\n config = load_config(app_environment)\\n database_connection = mysql.connector.connect(**config[\\\"database\\\"])\\n\\n all_scores = retrieve_all_scores(database_connection)\\n stats = calculate_stats(all_scores)\\n print_stats(stats)\\n\\n grouped_scores = retrieve_grouped_scores(database_connection)\\n print_score_spread(grouped_scores)\\n\\n return None\",\n \"def getFishData(species = \\\"none\\\"):\\n #r = req.get(\\\"https://fishbase.ropensci.org/species?Species=\\\" + species)\\n r = req.get(\\\"https://fishbase.ropensci.org/species\\\")\\n my_dict = r.json()\\n return my_dict\",\n \"def main():\\n download_insert_title_basics()\\n download_insert_title_principals()\\n download_insert_name_basics()\\n download_insert_title_ratings()\\n scrap_keywords()\\n create_and_insert_soup()\\n return\",\n \"def main():\\n ds = 72\\n title = 'Journal'\\n journal_name = 'my-journal'\\n headers.dashes_line(ds)\\n headers.print_header(title, ds)\\n data = journal.load(journal_name)\\n event_loop(journal_name, data)\\n # list_entries(data)\\n # add_entry(data)\\n # journal.save(journal_name, data)\",\n \"def getResults():\",\n \"def get_data():\\n try:\\n with open(CONS[\\\"OUTPUT_FILE\\\"], \\\"r\\\") as file:\\n data = json.load(file)[1]\\n return data\\n except FileNotFoundError:\\n print(\\\"Data file not found.\\\")\\n exit()\",\n \"def main():\\n\\n creds = None\\n # The file token.json stores the user's access and refresh tokens, and is\\n # created automatically when the authorization flow completes for the first\\n # time.\\n\\n # There was no need to do this with Google Sheets... I just felt like being extra.\\n if os.path.exists('token.json'):\\n creds = Credentials.from_authorized_user_file('token.json', SCOPES)\\n # If there are no (valid) credentials available, let the user log in.\\n if not creds or not creds.valid:\\n if creds and creds.expired and creds.refresh_token:\\n creds.refresh(Request())\\n else:\\n flow = InstalledAppFlow.from_client_secrets_file(\\n 'credentials.json', SCOPES)\\n creds = flow.run_local_server(port=0)\\n # Save the credentials for the next run\\n with open('token.json', 'w') as token:\\n token.write(creds.to_json())\\n\\n service = build('sheets', 'v4', credentials=creds)\\n\\n # Call the Sheets API\\n sheet = service.spreadsheets()\\n map_df = pd.read_csv('data/rel_map.csv')\\n \\n for i, rows in map_df.iterrows():\\n print(rows.show_season, rows.lead)\\n first_url = rows.show_season\\n write_from_URL(wiki_head + first_url, sheet, rows.lead, rows.show_season)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6757108","0.63172305","0.6213477","0.6213477","0.6213477","0.6165671","0.5924254","0.5922558","0.57879984","0.57552046","0.57526654","0.5694825","0.5639846","0.563431","0.55584145","0.5550838","0.55116856","0.55113345","0.55080515","0.54997003","0.54927516","0.5474136","0.54535395","0.543659","0.54038966","0.5402808","0.53993684","0.5373335","0.5370152","0.5354122","0.5350158","0.5348618","0.5347664","0.5344709","0.5325385","0.5316728","0.5310501","0.5309305","0.53040075","0.5297039","0.52939427","0.52929664","0.52827495","0.5277507","0.5267404","0.5242603","0.5240181","0.5239137","0.52365273","0.5231257","0.5219094","0.5203438","0.52026886","0.5202155","0.51955205","0.51933306","0.51911557","0.51885474","0.51884234","0.51786786","0.5173291","0.51705956","0.51660174","0.5165454","0.5165454","0.516144","0.5150534","0.5150534","0.51447725","0.5135146","0.5120877","0.5113876","0.51135","0.51127636","0.5112197","0.5107421","0.5106255","0.51059496","0.5103442","0.510209","0.5097731","0.5094378","0.50916314","0.5083808","0.5075849","0.50745237","0.5073821","0.50703776","0.50675374","0.5062688","0.5062507","0.5062226","0.5061161","0.5057522","0.5056712","0.5056557","0.5050686","0.5047501","0.50451946","0.504488","0.5044367"],"string":"[\n \"0.6757108\",\n \"0.63172305\",\n \"0.6213477\",\n \"0.6213477\",\n \"0.6213477\",\n \"0.6165671\",\n \"0.5924254\",\n \"0.5922558\",\n \"0.57879984\",\n \"0.57552046\",\n \"0.57526654\",\n \"0.5694825\",\n \"0.5639846\",\n \"0.563431\",\n \"0.55584145\",\n \"0.5550838\",\n \"0.55116856\",\n \"0.55113345\",\n \"0.55080515\",\n \"0.54997003\",\n \"0.54927516\",\n \"0.5474136\",\n \"0.54535395\",\n \"0.543659\",\n \"0.54038966\",\n \"0.5402808\",\n \"0.53993684\",\n \"0.5373335\",\n \"0.5370152\",\n \"0.5354122\",\n \"0.5350158\",\n \"0.5348618\",\n \"0.5347664\",\n \"0.5344709\",\n \"0.5325385\",\n \"0.5316728\",\n \"0.5310501\",\n \"0.5309305\",\n \"0.53040075\",\n \"0.5297039\",\n \"0.52939427\",\n \"0.52929664\",\n \"0.52827495\",\n \"0.5277507\",\n \"0.5267404\",\n \"0.5242603\",\n \"0.5240181\",\n \"0.5239137\",\n \"0.52365273\",\n \"0.5231257\",\n \"0.5219094\",\n \"0.5203438\",\n \"0.52026886\",\n \"0.5202155\",\n \"0.51955205\",\n \"0.51933306\",\n \"0.51911557\",\n \"0.51885474\",\n \"0.51884234\",\n \"0.51786786\",\n \"0.5173291\",\n \"0.51705956\",\n \"0.51660174\",\n \"0.5165454\",\n \"0.5165454\",\n \"0.516144\",\n \"0.5150534\",\n \"0.5150534\",\n \"0.51447725\",\n \"0.5135146\",\n \"0.5120877\",\n \"0.5113876\",\n \"0.51135\",\n \"0.51127636\",\n \"0.5112197\",\n \"0.5107421\",\n \"0.5106255\",\n \"0.51059496\",\n \"0.5103442\",\n \"0.510209\",\n \"0.5097731\",\n \"0.5094378\",\n \"0.50916314\",\n \"0.5083808\",\n \"0.5075849\",\n \"0.50745237\",\n \"0.5073821\",\n \"0.50703776\",\n \"0.50675374\",\n \"0.5062688\",\n \"0.5062507\",\n \"0.5062226\",\n \"0.5061161\",\n \"0.5057522\",\n \"0.5056712\",\n \"0.5056557\",\n \"0.5050686\",\n \"0.5047501\",\n \"0.50451946\",\n \"0.504488\",\n \"0.5044367\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":14,"numItemsPerPage":100,"numTotalItems":95772,"offset":1400,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3MjU4NTM3Miwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3NzI1ODg5NzIsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.gbwCcdTvMb6f8l_Voyk6gWAojp5P4DFXUz9RlQkdCzxnRZc5t6fpz37VR-5iV-6evHQ8JtVsXY3EieDjvteKAA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":95772,"numBytesParquet":1928375891}]},"discussionsStats":{"closed":1,"open":1,"total":2},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 9 3.4k | document stringlengths 9 87.4k | metadata dict | negatives listlengths 4 101 | negative_scores listlengths 4 101 | document_score stringlengths 3 10 | document_rank stringclasses 102 values |
|---|---|---|---|---|---|---|
Define ZMQ connection and return socket to work with | def connect_to_worker():
socket = context.socket(zmq.REQ)
socket.connect("tcp://localhost:5555")
return socket | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def meta_trader_connector():\n context = zmq.Context()\n socket = context.socket(zmq.REQ)\n socket.connect(SOCKET_LOCAL_HOST)\n return socket",
"def socket(self):\n if not hasattr(self, \"_socket\"):\n # create a new one\n self._socket = self.context.socke... | [
"0.7175116",
"0.70785046",
"0.6988766",
"0.690476",
"0.67760694",
"0.673751",
"0.664417",
"0.65480554",
"0.64834565",
"0.6372554",
"0.62621725",
"0.6188751",
"0.6151901",
"0.614989",
"0.6100526",
"0.60442936",
"0.6018518",
"0.60160136",
"0.59882885",
"0.5986249",
"0.5965816",... | 0.77242374 | 0 |
Make request to ZMQ worker for calculation, logs results and times and returns them | def calculate(expression, socket):
start = time.time()
socket.send(bytes(expression))
result = socket.recv()
total_time = (time.time() - start)*1000.0
total_time_str = '{0:.3f}'.format(total_time)
logging.info('{} = {} in {}ms'.format(expression, result, total_time_str))
return {
'result': result,
'time': total_time_str
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def main_task_handler():\n context = zmq.Context()\n\n # socket to sending messages to save\n save_sender = context.socket(zmq.PUSH)\n save_sender.connect(SAVE_PUSH_QUEUE_ADDR)\n\n c = 0\n while (True):\n # simulate some very complex computation\n (x, y) = (random.gauss(0, 1), rando... | [
"0.5938819",
"0.59349483",
"0.5909281",
"0.5909281",
"0.5895395",
"0.5823286",
"0.5821491",
"0.57913584",
"0.57686776",
"0.5757286",
"0.5728129",
"0.57082814",
"0.56994784",
"0.56603485",
"0.56561863",
"0.565306",
"0.5591266",
"0.5583581",
"0.5565303",
"0.5563218",
"0.5479768... | 0.57413363 | 10 |
Used to handle not responding zmq server | def raise_timeout(*args, **kwargs):
raise ZMQNotResponding('ZMQ server is not responding') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def fix_zmq_exit():\n import zmq\n ctx = zmq.Context.instance()\n ctx.term()",
"def test_recv_nomsg(self):\n flag, msg_recv = self.recv_instance.recv(timeout=self.sleeptime)\n assert(not flag)\n nt.assert_equal(msg_recv, self.recv_instance.eof_msg)",
"def connectionLost(reason):",... | [
"0.6562494",
"0.62199134",
"0.62131953",
"0.61594874",
"0.61404806",
"0.6073438",
"0.6002306",
"0.59552497",
"0.5933235",
"0.59127086",
"0.5870852",
"0.58468467",
"0.5773297",
"0.5767091",
"0.5763371",
"0.57514524",
"0.5717791",
"0.57169217",
"0.5679771",
"0.56770015",
"0.567... | 0.71370596 | 0 |
Create a recurring subscription. | def create_braintree():
#TODO: plan_id and user_id should be unique, I should be updating
# old plans if they get reactivated. Implement logic to check this in future.
# otherwise you can end up with a bunch of unactive plans when you get the user.
# Which may cause slowness for that user.
# Set the subscription details.
self.user_id = user.id
self.plan_id = plan_id
# Create the user account if none exists.
if user.customer_id is None:
result = braintree.Customer.create()
if result.is_success:
user.customer_id = result.customer.id
else:
return result
# Create the payment method
result = braintree.PaymentMethod.create({
'customer_id': user.customer_id,
'payment_method_nonce': payment_method_nonce,
'options': {
'verify_card': True
}
})
if result.is_success:
self.payment_method_token = result.payment_method.token
else:
return result
# Create subscription
result = braintree.Subscription.create({
'payment_method_token': self.payment_method_token,
'plan_id': plan_id
})
if result.is_success:
self.subscription_id = result.subscription.id
self.active = True
else:
return result
# Commit to database
db.session.add(user)
db.session.add(self)
db.session.commit()
return result | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def recurring_charge_subscription(\n subscription_id: str,\n namespace: Optional[str] = None,\n x_additional_headers: Optional[Dict[str, str]] = None,\n **kwargs\n):\n if namespace is None:\n namespace, error = get_services_namespace()\n if error:\n return None, error\n r... | [
"0.7562298",
"0.72675866",
"0.7255067",
"0.6888839",
"0.67131966",
"0.66710687",
"0.663895",
"0.66039276",
"0.6548797",
"0.6534004",
"0.6509307",
"0.6500344",
"0.64609605",
"0.6345497",
"0.6329807",
"0.6320571",
"0.629122",
"0.627429",
"0.62693095",
"0.6210127",
"0.6126169",
... | 0.0 | -1 |
DEPERECIATED FUNCTION PLEASE USE active field of subscription | def is_active(self):
return self.active | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_get_subscription(self):\n pass",
"def list_subscriptions(self):\n return {'abonnementen': self.customer.abonnementen}",
"def activate_subscription(**kwargs):\n sub, created = Subscription.objects.get_or_create(**kwargs)\n # check if it already existed and was deactivated\n if not cr... | [
"0.63394845",
"0.62465435",
"0.61932844",
"0.61151147",
"0.60587835",
"0.59960914",
"0.5993149",
"0.5967535",
"0.58414245",
"0.58307177",
"0.58283544",
"0.5719315",
"0.57160527",
"0.5682019",
"0.5677654",
"0.56643665",
"0.56286776",
"0.56263405",
"0.56165206",
"0.55921304",
"... | 0.0 | -1 |
this functions creates a draft with the email data given the user id should be either 'me', either 'users/email.com' either 'users/{AAD_userId}', | def create_draft(auth, subject, body, addresses, user_id, cc_addresses=[], attachments_list=None):
data = {}
data['Subject'] = subject
data['Body'] = {}
data['Body']['ContentType'] = 'HTML'
data['Body']['Content'] = body
data['ToRecipients'] = [{'EmailAddress': {'Address': addr}} for addr in addresses]
data['ccRecipients'] = [{'EmailAddress': {'Address': addr}} for addr in cc_addresses]
if attachments_list is not None:
data['Attachments'] = attachments_list
params = json.dumps(data).encode('utf8')
url = "{api_url}/{user_id}/messages".format(api_url=API_URL, user_id=user_id)
headers = {
'Content-Type': 'application/json',
'Authorization': 'Bearer {}'.format(auth.access_token)
}
req = urllib.request.Request(url, params, headers)
try:
resp = urllib.request.urlopen(req)
resp_data = json.load(resp)
logging.getLogger(__name__).info("Draft created")
return resp_data['id']
except urllib.error.HTTPError as err:
raise AzureError(err) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_email(context, params):\n updated = {}\n for key in params:\n updated[camelcase_to_underscore(key)] = params[key]\n params = updated\n if not params.get('val') or params.get('is_deleted'):\n return None\n form_email = dict()\n if not params.get('label'):\n form_ema... | [
"0.6185358",
"0.5889587",
"0.56886303",
"0.563527",
"0.5423166",
"0.5389278",
"0.53863585",
"0.5356391",
"0.5334495",
"0.5330233",
"0.53246087",
"0.53019273",
"0.5286498",
"0.5276959",
"0.5267437",
"0.5240132",
"0.5237234",
"0.5231543",
"0.52308434",
"0.5228887",
"0.5216414",... | 0.73411775 | 0 |
iterator which goes through all the pages to find all the emails | def get_all_emails_it(auth, user_id, folder_id='AllItems', pages_limit=None, pages_size=50, **kwargs):
i = 0
args_dict = dict(kwargs, top=pages_size, skip=pages_size * i)
curr_emails = get_emails(auth, user_id, folder_id, **args_dict)
while len(curr_emails) != 0:
yield curr_emails
if pages_limit is not None and i >= pages_limit:
break
i += 1
args_dict = dict(kwargs, top=pages_size, skip=pages_size * i)
curr_emails = get_emails(auth, user_id, folder_id, **args_dict) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_email_addresses(startdate, enddate, user, password):\n emails = []\n page = 1\n more_pages = True\n\n while more_pages:\n response = requests.get(\n 'https://restapi.surveygizmo.com/v2/survey/{survey}'\n '/surveyresponse?'\n 'filter[field][0]=datesubmitte... | [
"0.6516295",
"0.64715",
"0.6371025",
"0.6256334",
"0.6235852",
"0.61884665",
"0.61240774",
"0.6112633",
"0.6023784",
"0.60078543",
"0.59824973",
"0.59707236",
"0.5946463",
"0.5928901",
"0.5901219",
"0.58981884",
"0.5887079",
"0.5860919",
"0.5854434",
"0.58382696",
"0.5836329"... | 0.71289283 | 0 |
Calculate the masked ratio. | def get_masked_ratio(mask):
hist = mask.histogram()
return hist[0] / np.prod(mask.size) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def maskedFraction(self):\n\n\t\tif not self._masked:\n\t\t\treturn 0.0\n\t\telse:\n\t\t\treturn self._masked_fraction",
"def maskedFraction(self):\n\n\t\treturn self._masked_fraction",
"def bw_ratio(self):\r\n bw = self.bwstats.mean\r\n if bw == 0.0: return 0\r\n else: return self.bw/(1024.*bw)",
"... | [
"0.7183577",
"0.6947266",
"0.6375616",
"0.62425804",
"0.6177991",
"0.6146051",
"0.6002309",
"0.5985765",
"0.59175396",
"0.58450127",
"0.5783589",
"0.5759599",
"0.57562935",
"0.56993043",
"0.56441855",
"0.56413704",
"0.5576878",
"0.55284727",
"0.54961735",
"0.5492076",
"0.5457... | 0.78421235 | 0 |
Retrieves or create a key/value from the request extra_context. If key is found, it is returned, that simple. If not, and a value has been passed, the key is set and returned. | def get_or_create(key, value=None):
if not hasattr(g, key):
value = value() if callable(value) else value
setattr(g, key, value)
return getattr(g, key) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_context(self, extra_ctx=None, **kwargs):\n ctx = {\n 'user': self.user,\n }\n if extra_ctx:\n ctx.update(extra_ctx)\n ctx.update(kwargs)\n return ctx",
"def get(self, key, default=None):",
"def addToExtra(self,key,val):\n if self.extra == ... | [
"0.57630116",
"0.5627676",
"0.5543135",
"0.55403066",
"0.5527593",
"0.5498205",
"0.54873115",
"0.5451134",
"0.54109406",
"0.5372317",
"0.5307185",
"0.525926",
"0.5251889",
"0.5233425",
"0.5200257",
"0.51947916",
"0.51554173",
"0.51229984",
"0.508491",
"0.50824934",
"0.5082493... | 0.5090194 | 18 |
Create a dictionary with domain architectures exclusive in a single pathogen type group. | def generateArchitectureDataStructure(db, collapse_pathogen_groups=False):
# Calculate total numbers of species and strains for each pathogen group
counts_species_pathogen_dict = defaultdict(lambda: defaultdict(int))
for row in db.getNumSpeciesPathogen():
counts_species_pathogen_dict[row['pathogen_type']]['num_species'] = row['num_species']
counts_species_pathogen_dict[row['pathogen_type']]['num_strains'] = row['num_strains']
architecture_pathogen_dict = defaultdict(list)
arch_strains_species_dict = defaultdict(lambda: defaultdict(list))
for row in db.getArchitecturePathogenTypeIterator():
strains = row['species']
species = str(strains).split(' (')[0]
pathogen_type = row['pathogen_type']
architecture_id = row['architecture']
architecture_acc = row['architecture_acc']
architecture_pathogen_dict[(architecture_id, architecture_acc)].append(pathogen_type)
arch_strains_species_dict[(architecture_id, architecture_acc)]['species'].append(species)
arch_strains_species_dict[(architecture_id, architecture_acc)]['strains'].append(strains)
for architecture in architecture_pathogen_dict.keys():
# If an architecture is only present in proteins of a certain pathogen_type,
# it should have only 1 pathogen_type
pathogen_groups_set = set(architecture_pathogen_dict[architecture])
if not exclusive_arch(pathogen_groups_set, collapse_pathogen_groups):
architecture_pathogen_dict.pop(architecture)
arch_strains_species_dict.pop(architecture)
else:
# Check if the architecture is present in all species and strains
species_set = set(arch_strains_species_dict[architecture]['species'])
strains_set = set(arch_strains_species_dict[architecture]['strains'])
total_num_species, total_num_strains = get_number_ssp_stt_members(counts_species_pathogen_dict,
pathogen_groups_set,
collapse_pathogen_groups)
arch_strains_species_dict[architecture]['total_num_species'] = total_num_species
arch_strains_species_dict[architecture]['total_num_strains'] = total_num_strains
if total_num_species == len(species_set):
arch_strains_species_dict[architecture]['all_species']
if total_num_strains == len(strains_set):
arch_strains_species_dict[architecture]['all_strains']
return architecture_pathogen_dict, arch_strains_species_dict | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def environments_of(groups):\n types = {}\n for group in groups:\n for env in group.environments:\n et = env.environmentType\n envs = types.setdefault((et.id, et.name), set())\n envs.add((env.id, env.name))\n return types",
"def build_groupings(idir: str) -> dict:... | [
"0.53147066",
"0.5278428",
"0.51913285",
"0.5105832",
"0.5089798",
"0.5063621",
"0.5043128",
"0.5004288",
"0.49817312",
"0.4942777",
"0.49404955",
"0.49214888",
"0.49084446",
"0.48987442",
"0.48879838",
"0.4885036",
"0.48838812",
"0.48718145",
"0.4864769",
"0.4852137",
"0.483... | 0.56843174 | 0 |
Boolean function to check if a given architecture is exclusive. | def exclusive_arch(pathogen_groups_set, collapse_pathogen_groups):
if len(pathogen_groups_set) == 1:
return True
# Only check pathogen grouping when the flag is on
if collapse_pathogen_groups:
if len(pathogen_groups_set) > 2:
return False
if 0 in pathogen_groups_set and 1 in pathogen_groups_set:
return True
if 3 in pathogen_groups_set and 4 in pathogen_groups_set:
return True
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_logical(*args):\n return _ida_hexrays.is_logical(*args)",
"def __bool__(self):\n return any(self.smask)",
"def is_infrastructure (self):\n return sum([1 for i in self.infras]) != 0",
"def is_exclusive(self):\n return self.exclusive",
"def incompatible_architecture(self) -> bool:\n ... | [
"0.588355",
"0.5876618",
"0.58541375",
"0.58166057",
"0.5798117",
"0.5712255",
"0.5689939",
"0.5669322",
"0.5637539",
"0.5548849",
"0.5544105",
"0.5517736",
"0.54952157",
"0.5487494",
"0.5465993",
"0.5461534",
"0.54453385",
"0.5438241",
"0.5419825",
"0.53650993",
"0.53650993"... | 0.59786093 | 0 |
Loads the labels file. Supports files with or without index numbers. | def load_labels(path):
with open(path, 'r', encoding='utf-8') as f:
lines = f.readlines()
labels = {}
for row_number, content in enumerate(lines):
pair = re.split(r'[:\s]+', content.strip(), maxsplit=1)
if len(pair) == 2 and pair[0].strip().isdigit():
labels[int(pair[0])] = pair[1].strip()
else:
labels[row_number] = pair[0].strip()
return labels | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def read_labels(idx_filename):\n return IdxFileLoader().load(idx_filename, gzip_compressed=True)[-1]",
"def load_labels():\n filename = os.path.join(config['inference']['model_dir'], 'output_labels.txt')\n global labels\n labels = [line.rstrip() for line in tf.gfile.FastGFile(filename)]",
"def load_label... | [
"0.7585093",
"0.73918986",
"0.7356385",
"0.7295458",
"0.7295458",
"0.7251934",
"0.72350484",
"0.72224325",
"0.69650286",
"0.6930105",
"0.6915016",
"0.68840927",
"0.6850086",
"0.683416",
"0.68133795",
"0.6811225",
"0.6805284",
"0.67956245",
"0.67892665",
"0.6772183",
"0.675498... | 0.684912 | 13 |
Sets the input tensor. | def set_input_tensor(self, image):
tensor_index = self.interpreter.get_input_details()[0]['index']
input_tensor = self.interpreter.tensor(tensor_index)()[0]
input_tensor[:, :] = image | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_input_tensor(self, image):\n tensor_index = self.model.get_input_details()[0]['index']\n input_tensor = self.model.tensor(tensor_index)()[0]\n input_tensor[:, :] = image",
"def _set_input_tensor(self, image):\n tensor_index = self._interpreter.get_input_details()[0]['index']\n... | [
"0.78925943",
"0.7880494",
"0.7589295",
"0.74826103",
"0.74208987",
"0.74208987",
"0.74208987",
"0.73879915",
"0.6989476",
"0.67201304",
"0.66477954",
"0.66477954",
"0.65359837",
"0.64077353",
"0.6385685",
"0.6378955",
"0.6283016",
"0.62689894",
"0.6259443",
"0.62375194",
"0.... | 0.78595096 | 2 |
Returns the output tensor at the given index. | def get_output_tensor(self, index):
output_details = self.interpreter.get_output_details()[index]
tensor = np.squeeze(self.interpreter.get_tensor(output_details['index']))
return tensor | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_output_tensor(index):\n output_details = interpreter.get_output_details()[index]\n tensor = np.squeeze(interpreter.get_tensor(output_details['index']))\n return tensor",
"def get_output_tensor(self, index):\n output_details = self.model.get_output_details()[index]\n tensor = np.squ... | [
"0.88110566",
"0.8773681",
"0.86581725",
"0.8473132",
"0.8446493",
"0.8446493",
"0.8446493",
"0.75534517",
"0.7171569",
"0.68134344",
"0.6715133",
"0.6542007",
"0.65397805",
"0.65058136",
"0.6436549",
"0.6430624",
"0.63161963",
"0.6215072",
"0.6104049",
"0.6095873",
"0.608248... | 0.87153566 | 2 |
Returns a list of detection results, each a dictionary of object info. | def detect_objects(self, image, threshold):
self.set_input_tensor(image)
self.interpreter.invoke()
# Get all output details
boxes = self.get_output_tensor(0)
classes = self.get_output_tensor(1)
scores = self.get_output_tensor(2)
count = int(self.get_output_tensor(3))
results = []
for i in range(count):
if scores[i] >= threshold:
result = {
'bounding_box': boxes[i],
'class_id': classes[i],
'score': scores[i]
}
results.append(result)
return results | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def detect_objects(interpreter, image):\n set_input_tensor(interpreter, image)\n interpreter.invoke()\n\n # Get all output details\n boxes = get_output_tensor(interpreter, 0)\n classes = get_output_tensor(interpreter, 1)\n scores = get_output_tensor(interpreter, 2)\n count = int(get_output_ten... | [
"0.7317474",
"0.71720695",
"0.7067133",
"0.70630217",
"0.7045426",
"0.7042128",
"0.66765565",
"0.662646",
"0.6616235",
"0.65515685",
"0.65083957",
"0.6459783",
"0.6371822",
"0.63698006",
"0.6324095",
"0.6281179",
"0.6168086",
"0.6153466",
"0.61346966",
"0.612045",
"0.61051345... | 0.7075441 | 2 |
Return a distance matrix. | def distance_matrix(n_row, n_col):
n_pop = int(n_row * n_col)
center = int(n_row/2*(n_col+1))
pop_idx = np.arange(n_pop)
pop_idx_col = np.remainder(pop_idx, n_col)
pop_idx_row = pop_idx // n_row
pos = np.vstack((pop_idx_col,pop_idx_row)).T
distance = spa.distance.cdist([pos[center]], pos)[0]
return distance | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getDistanceMatrix(self):\n return self.distmat.as_matrix()",
"def getDistanceMatrix(self):\n v = self.getVectors()\n vLis = v.keys()\n N = len(v.keys())\n D = np.zeros([N, N], dtype=np.float32)\n print(N)\n for i in range(N):\n print(\"%d/%d\" %(i, ... | [
"0.8100148",
"0.773013",
"0.76817036",
"0.76695836",
"0.7526487",
"0.7413217",
"0.72635025",
"0.72520757",
"0.7237255",
"0.720597",
"0.71226275",
"0.7120114",
"0.7059747",
"0.7056286",
"0.7044589",
"0.70375097",
"0.69336534",
"0.69194335",
"0.6913005",
"0.6888755",
"0.6846131... | 0.6237683 | 47 |
transform tags for solr | def transform_tags(self, instance):
return instance.tags.split(',') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _preprocess(self, tagged: List[Tuple]) -> Tuple:\n ori = \" \".join([tag[0] for tag in tagged])\n tags = [tag[1] for tag in tagged]\n # Mapping into general tagset\n tags = [self._map[tag] if tag in self._map else \"X\" for tag in tags]\n return \" \".join(tags), ori",
"def... | [
"0.6342739",
"0.62034404",
"0.61902505",
"0.61189127",
"0.61091095",
"0.60965765",
"0.6026633",
"0.59895706",
"0.5947233",
"0.5945939",
"0.59207904",
"0.58725727",
"0.5865535",
"0.5798255",
"0.57310975",
"0.5727268",
"0.5669075",
"0.56652087",
"0.5649698",
"0.5608626",
"0.558... | 0.6025879 | 7 |
get a model for solr | def transform_entity(self, instance, what):
whats = []
for _what in instance.get_entity(what):
whats.append(str(_what))
return whats | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_model(self):\n raise NotImplementedError(\n \"You must provide a 'get_model' method for the '%r' index.\" % self\n )",
"def get_model(self):\n return QueryS",
"def get_model():\n return UNISAL",
"def get_model(self):\n url = self.resource()\n params = ... | [
"0.6687158",
"0.64133453",
"0.63109964",
"0.62503785",
"0.62141037",
"0.61795294",
"0.6167323",
"0.61600643",
"0.61600643",
"0.61600643",
"0.61600643",
"0.61600643",
"0.6062293",
"0.6059364",
"0.6059364",
"0.6059364",
"0.6059364",
"0.6059364",
"0.6059364",
"0.6059364",
"0.605... | 0.0 | -1 |
get people for solr | def transform_people(self, instance):
return self.transform_entity(instance, 'Person') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def search_professors(search_term):\n print(\"Professor to search\", search_term)\n if search_term == \"\" or search_term is None:\n return json.dumps([])\n else:\n # pandas_index_list = elastic_dash.search_professors(search_term)\n pandas_index_list = elastic_dash.search_personnel(se... | [
"0.64752334",
"0.6471866",
"0.6469839",
"0.6443082",
"0.63948816",
"0.63601685",
"0.62068886",
"0.61978406",
"0.6176863",
"0.61702245",
"0.60960656",
"0.6083975",
"0.60412025",
"0.602639",
"0.60190237",
"0.59710723",
"0.59653676",
"0.5906777",
"0.58994013",
"0.5892216",
"0.58... | 0.0 | -1 |
get organisations for solr | def transform_organisations(self, instance):
return self.transform_entity(instance, 'Organisation') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def organizations(self):\n return self.get('{}/orgs'.format(ApiVersion.A1.value))",
"def get_org_list():\r\n\r\n resp = requests.get(''.join([Kegg.BASE_URL, 'list/organism']))\r\n return resp.text",
"def organizations(self):\n self.elements('organizations')",
"def list(self) -> List[O... | [
"0.70180196",
"0.6930935",
"0.68222815",
"0.67474467",
"0.66747344",
"0.64471346",
"0.6437008",
"0.64310277",
"0.63073766",
"0.62133086",
"0.6173378",
"0.61321056",
"0.61253846",
"0.61062926",
"0.6087762",
"0.6074626",
"0.60670793",
"0.60509616",
"0.60316247",
"0.6012012",
"0... | 0.59292954 | 24 |
get places for solr | def transform_places(self, instance):
return self.transform_entity(instance, 'Place') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_places():\n global app_id, rest_api_key, places\n\n if not places:\n connection = httplib.HTTPSConnection(PARSE_API_URL, PARSE_API_PORT)\n connection.connect()\n connection.request(\n method='GET',\n url=PLACES_ENDPOINT,\n headers={\"X-Parse-Application-Id\": app_id, \"X-Parse-... | [
"0.7075361",
"0.6944823",
"0.6674378",
"0.6600828",
"0.65889496",
"0.65875274",
"0.653786",
"0.65263355",
"0.64731616",
"0.6373014",
"0.6317828",
"0.63092935",
"0.63040537",
"0.6248984",
"0.62213624",
"0.61126393",
"0.61077696",
"0.60606116",
"0.6059774",
"0.6050336",
"0.6047... | 0.0 | -1 |
idAIV, EC, SC, PC, RV, OC, Total, FK_Organization, FK_Equipment | def loadAIVValues(self, values):
#The 'values' variable has the following form
if values[1] == values[2] == values[3] == values[4] == values[5] == 0.00:
#wx.MessageBox("Es un total")
self.aiv_totalok.SetValue(True)
self.changeTextsInputs(True)
self.aiv_total.SetValue(str(values[6]))
else:
self.changeTextsInputs(False)
self.aiv_totalok.SetValue(False)
#wx.MessageBox("Costos individuales")
self.aiv_equipmentCost.SetValue(str(values[1]))
self.aiv_serviceCost.SetValue(str(values[2]))
self.aiv_personnelCost.SetValue(str(values[3]))
self.aiv_resellCost.SetValue(str(values[4]))
self.aiv_otherCost.SetValue(str(values[5]))
self.aiv_total.SetValue(str(values[6])) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ItemDed(_posagi, e17500, e18400, e18500, e18800, e18900,\n e20500, e20400, e19200, e20550, e20600, e20950, e19500, e19570,\n e19400, e19550, e19800, e20100, e20200, e20900, e21000, e21010,\n MARS, _sep, c00100, ID_ps, ID_Medical_frt, ID_Casualty_frt,\n ID_Miscellaneo... | [
"0.5435056",
"0.4894137",
"0.48406047",
"0.47943744",
"0.47545114",
"0.47482443",
"0.4708286",
"0.46779168",
"0.4671095",
"0.4662206",
"0.4640695",
"0.46324465",
"0.45957166",
"0.45863223",
"0.45708844",
"0.45649207",
"0.45606184",
"0.4560529",
"0.4551793",
"0.45511213",
"0.4... | 0.4452974 | 32 |
returns True if employee has rejoined otherwise False | def is_rejoinee(self):
return len(self._start_date) > 1 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_employee():\n return _is_member('uw_employee')",
"def is_expired(self):\n expiration_date = datetime.timedelta(days=settings.ACCOUNT_ACTIVATION_DAYS)\n return (self.date_joined + expiration_date <= datetime.datetime.now())",
"def is_expired(self):\n expiration_date = datetime.tim... | [
"0.6680365",
"0.587085",
"0.58500487",
"0.57760894",
"0.5741819",
"0.57230127",
"0.56929135",
"0.56781346",
"0.56605685",
"0.5577466",
"0.55369276",
"0.5530934",
"0.55146056",
"0.55014586",
"0.54542553",
"0.5392969",
"0.5388207",
"0.53847474",
"0.5377452",
"0.53713554",
"0.53... | 0.61320335 | 1 |
Process the Exit of employee | def process_employee_exit(self):
if self.is_employee_serving():
self._end_date.append(datetime.now().isoformat())
print(f"Successfully processed exit for employee {self.name} on" \
f"{self._end_date[-1]}\nWe wish {self.name} for future endeavours")
return
raise RejoiningException("Employee not in service. Cannot process exit.") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def do_exit(self, args):\n return -1",
"def identify_result_exit(self, record):\n return [\"exit\"]",
"def exit(self):\n pass",
"def _PExit(self, m):\n pass",
"def user_exit(cls):\n cls.exit_program(ErrorCodes.E_USER_EXIT)",
"def do_exit(self, line): \n sys.exit(0)... | [
"0.66456366",
"0.66187525",
"0.6506358",
"0.64646137",
"0.6454185",
"0.6431671",
"0.63921857",
"0.63420844",
"0.63289636",
"0.6281149",
"0.6274805",
"0.6250398",
"0.6227689",
"0.6203884",
"0.6194826",
"0.6160062",
"0.6157645",
"0.61544615",
"0.61414033",
"0.6138231",
"0.61304... | 0.8065909 | 0 |
Check if growth results have expected no samples. | def has_nsamples(results, n):
n_rates = results.growth_rates.sample_id.nunique()
n_exchanges = results.exchanges.sample_id.nunique()
return n_rates == n and n_exchanges == n | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def has_more_samples(self):\n return True",
"def has_more_samples(self):\n return True",
"def has_more_samples(self):\n return True",
"def test_sufficient_statistics(self):\n assert (\n len(self.data),\n self.data.var(),\n self.data.mean(),\n ... | [
"0.7002155",
"0.7002155",
"0.7002155",
"0.6810179",
"0.6439376",
"0.6349528",
"0.6328535",
"0.6269995",
"0.62555325",
"0.6226843",
"0.6206803",
"0.6174545",
"0.61745423",
"0.61745423",
"0.61745423",
"0.61745423",
"0.61406535",
"0.61071175",
"0.6073733",
"0.6044353",
"0.604206... | 0.63572603 | 5 |
Index page where I test few functions and make sure routes are connected | def test():
print "SERVER IS RUNNING"
return render_template("statemap.html")
# return render_template("testworld.html") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_main(self):\n path = reverse(\"main\")\n request = RequestFactory().get(path)\n response = index(request)\n assert response.status_code == 200",
"def test_index_view(self):\n response = self.client.get(url_for('main.index'))\n self.assertEqual(response.status_co... | [
"0.77554923",
"0.7587984",
"0.7496175",
"0.7468367",
"0.7461118",
"0.73280954",
"0.72975385",
"0.72921324",
"0.72654486",
"0.72471523",
"0.724658",
"0.724658",
"0.72161573",
"0.72141546",
"0.71513706",
"0.7143187",
"0.7128356",
"0.711231",
"0.7095507",
"0.7054877",
"0.7005856... | 0.0 | -1 |
Log user into site, find user in the DB and their their user id in the session then if they are logged in redirect them to map page | def process_login():
# Get form variables
email = request.form["email"]
password = request.form["password"]
# printing data from form to BASH
print "form password"
print password
# check user exisit and then asign them variable user
user = User.query.filter_by(email=email).first()
print "\n \n \n ", user
# Conditions
if not user:
flash("No such user")
return redirect("/")
elif user.password != password:
flash("Incorrect password")
return redirect("/")
else:
session["user_id"] = user.user_id
flash("Logged in")
return redirect('/passport') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def logininfo():\n\n email = request.form.get(\"email\")\n password = request.form.get(\"password\")\n\n user = User.query.filter_by(email=email).first()\n # import pdb; pdb.set_trace()\n if not user:\n return redirect(\"/register\")\n\n if user.password != password:\n flash('Invali... | [
"0.70838326",
"0.69987136",
"0.67759037",
"0.67270076",
"0.657737",
"0.6569989",
"0.6562039",
"0.65591156",
"0.6542138",
"0.6500258",
"0.6500258",
"0.64939904",
"0.6488533",
"0.6474254",
"0.647039",
"0.6464649",
"0.64607286",
"0.6430233",
"0.6424035",
"0.64013207",
"0.638578"... | 0.6567707 | 6 |
removing user_id from session to logout user | def process_logout():
print " LOGGED OUT USER "
del session["user_id"]
flash("You have Successfully Logged Out!")
return redirect("/") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def logout_user(session):\n del session['user']",
"def logout():\n\n if session.get('user_id'):\n del session['user_id']\n flash('You are now logged out.')\n return redirect('/login')",
"def logout(self):\n if 'user' in session:\n del session['user']\n session.sa... | [
"0.86715126",
"0.81939507",
"0.8084283",
"0.8076383",
"0.8072221",
"0.80592704",
"0.7940466",
"0.792623",
"0.7907761",
"0.78814626",
"0.78327316",
"0.7786549",
"0.7768795",
"0.77528083",
"0.7744378",
"0.7737063",
"0.7730634",
"0.77184623",
"0.7702954",
"0.7678678",
"0.7678678... | 0.7882814 | 9 |
New user signup form | def register_processed():
print "REGISTER ROUTE IS WORKING"
# Get variables from HTML form
email = request.form["email"]
password = request.form["password"]
# query the DB for user
new_user = User(email=email, password=password)
# check DB for user searching by email
same_email_user = User.query.filter(User.email == email).first()
# users who registered / login will be redircted --> passport/profile pg.
if same_email_user:
flash("Email is already registered. Please signin to your account")
return redirect("/")
# check user by username --> condition to authentiate user
same_username = User.query.filter(User.email == email).first()
if same_username:
flash("please pick another username")
return redirect("/")
# add user to db if they are new
db.session.add(new_user)
# commit transaction
db.session.commit()
# query db user by email add them to current session and redirect
# user to passport page
user = User.query.filter_by(email=email).first()
flash("User %s added.You have successfully created an account! Welcome to Wanderlust" % email)
session["user_id"] = user.user_id
return redirect("/passport") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def signup_form(request):\n return {'signup_form': UserForm()}",
"def signup():\n return render_template(\"new_user.html\")",
"def signup():",
"def signupview(request):\n if request.method != 'POST':\n # Display blank registration form\n form = UserCreationForm()\n else:\n # ... | [
"0.82840896",
"0.82833594",
"0.8074069",
"0.79622245",
"0.7919632",
"0.7732329",
"0.76864487",
"0.7676215",
"0.7661683",
"0.7627001",
"0.7598874",
"0.7574743",
"0.7571235",
"0.7540624",
"0.75386494",
"0.75366706",
"0.75335234",
"0.75069493",
"0.75018096",
"0.7460415",
"0.7452... | 0.0 | -1 |
wanderlist list interative list where users can add new items to their travel bucket list | def passport():
user_id = session['user_id']
# query users list items and load list items when user access passport page
places = db.session.query(AdventureList.adventure_item).filter(AdventureList.user_id == user_id).all()
# take users wanderlist and loads list items
# create empty list bind list to variable name new_place_list
new_place_list = []
# iterate over items and append them to empty list starting from index[0]
for item in places:
new_place_list.append(item[0])
print new_place_list
return render_template('passport.html', places=new_place_list) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def add_new_item():\n\n lst = item_list()\n return render_template('index.html', sell_flag=1, items=lst)",
"def NewItems(self) -> _n_1_t_7:",
"def view_list():\n # an HTML representation of the user shopping list\n printed_list = user[\"name\"]\n printed_list += \"<form>\"\n printed_list += '... | [
"0.63726956",
"0.5953915",
"0.58900404",
"0.56818676",
"0.5578206",
"0.5571558",
"0.5569564",
"0.55676425",
"0.55432063",
"0.5523418",
"0.5523418",
"0.55003536",
"0.5476887",
"0.5428944",
"0.5371039",
"0.53561133",
"0.53371036",
"0.53357625",
"0.5332503",
"0.53266263",
"0.532... | 0.54712594 | 13 |
user clicks on state, when color changes, state is stored as a visit. | def state_map():
# get current user from session
user_id = session["user_id"]
print user_id
# inputs from state map in console.log [feature.id] = state_id feature = state
state_id = request.form['feature_id']
print state_id
state = db.session.query(State).filter_by(state_id=state_id).one()
user_state_obj = User_State(state_id=state_id, user_id=user_id, visited_at=datetime.now())
db.session.add(user_state_obj)
db.session.commit()
user_state_json_data = {"state_id": state.state_id, "state_name": state.state_name, "visited_at": user_state_obj.visited_at}
return jsonify(user_state_json_data)
################## REMOVING ########################## | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_click_state(self, event):\n raise NotImplementedError",
"def select_action(self, state):",
"def state_changed(self, oldstate, newstate, event, *args, **kwargs):",
"def state_changed(self, oldstate, newstate, event, *args, **kwargs):",
"def on_state_change(self, new_state):\n self.sta... | [
"0.63449645",
"0.63005996",
"0.62316686",
"0.62316686",
"0.6165384",
"0.61550564",
"0.608084",
"0.6026097",
"0.59596413",
"0.5938203",
"0.5936117",
"0.59297",
"0.5917869",
"0.5911632",
"0.5898261",
"0.58883375",
"0.5822766",
"0.58192563",
"0.57938737",
"0.5782378",
"0.5760959... | 0.0 | -1 |
delete function for removing state visit | def removeStateVisit():
user_id = session["user_id"]
print user_id
state_id = request.form.get('feature_id')
state = db.session.query(State).filter_by(state_id=state_id).one()
user_state_obj = db.session.query(User_State).filter(User_State.user_id == user_id, User_State.state_id == state_id).first()
print user_state_obj
user_state_json_data = "error"
if user_state_obj:
db.session.delete(user_state_obj)
db.session.commit()
user_state_json_data = {"state_id": state_id, "state_name": state.state_name, "visited_at": user_state_obj.visited_at}
return jsonify(user_state_json_data)
################### LOAD USERS STATE VISITS ####################### | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def delete_state(self, s):\n state = self.state(s)\n for transition in self.transitions():\n if transition.to_state == state:\n self.delete_transition(transition)\n self._states_.remove(state)\n try:\n del self._states_dict_[state.label()]\n e... | [
"0.7199102",
"0.69216",
"0.6769232",
"0.6697931",
"0.66519755",
"0.663655",
"0.6609245",
"0.65962636",
"0.659605",
"0.6585508",
"0.65570766",
"0.65462",
"0.65451986",
"0.6523356",
"0.65081394",
"0.6460999",
"0.64571273",
"0.64526856",
"0.63653034",
"0.635942",
"0.63002914",
... | 0.6547938 | 11 |
RETURN user profile information | def profile():
user_id = session["user_id"]
# from HTML form getting inputs from ajax call
first = request.form.get('first', None)
last = request.form.get('last', None)
username = request.form.get('username', None)
city = request.form.get('city', None)
state = request.form.get('state', None)
quote = request.form.get('quote', None)
about = request.form.get('about', None)
print "profile", first, last, city, state, quote, about
# query db for current user
user = db.session.query(User).filter_by(user_id=user_id).one()
# ajax request inputs
user.first_name = first
user.last_name = last
user.username = username
user.city = city
user.state = state
user.quote = quote
user.about = about
db.session.commit()
# profile_info_data = {"key": value}
profile_info_data = {"first": first, "last": last, "username": username,
"city": city, "state": state, "quote": quote, "about": about}
# query DB for this user if the unser is none
print "Profile been has been stored in DB"
return jsonify(profile_info_data)
# @app.route('/disply-profile-info', methods=['POST']) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_user_profile(self):\n return self.request('get', 'id/users')",
"def get_profile():\n logger.debug(\"entering function get_profile\")\n response = read_user_profile()\n logger.debug(\"exiting function get_profile\")\n return jsonify(response)",
"def user_info(self):\n response ... | [
"0.79147726",
"0.76836777",
"0.7588437",
"0.7583951",
"0.75469744",
"0.7536266",
"0.74995303",
"0.74964917",
"0.7494386",
"0.7476675",
"0.74665",
"0.74247897",
"0.7411005",
"0.7400891",
"0.73773926",
"0.73690546",
"0.7363023",
"0.73458177",
"0.73306763",
"0.73088706",
"0.7305... | 0.67085403 | 100 |
google address form that prepopulates address | def google_postcard_form_ajax():
user_id = session["user_id"]
# input from ajax call from HTML form
street_number = request.form.get('street_number')
route_address = request.form.get('route')
city = request.form.get('locality')
postal_code = request.form.get('postal_code')
state = request.form.get("state")
country = request.form.get('country')
message = request.form.get('message', None)
print "google-postcard-ajax", street_number, route_address, city, postal_code, state, country, message
# commit form information to Database
db.session.commit()
postcard_data = {"street_number": street_number, "route": route_address, "city": city, "state": state, "country": country, "message": message}
return jsonify(postcard_data) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_autofill_address():\n try:\n # get data sent by client\n client_data = request.get_json()\n print(' ')\n print('\\n------ getting autofill_address ------')\n print(f\"recived: input:{client_data['text']}\")\n\n place = gmaps.place(client_data['value'])\n ... | [
"0.63437706",
"0.6269668",
"0.6109527",
"0.5922518",
"0.5916802",
"0.57907397",
"0.57753795",
"0.5754547",
"0.57486415",
"0.5744301",
"0.57018614",
"0.5698119",
"0.5649869",
"0.56383955",
"0.559803",
"0.55916196",
"0.55846936",
"0.55796117",
"0.55482423",
"0.554614",
"0.55070... | 0.0 | -1 |
d3 state map where users can click on country and changes colors | def d3_world_map():
return render_template("world.html") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def states_traveled(person, color):\r\n folium.GeoJson(data=state_geo,\r\n name=person['Name'] + ' - '\r\n + str(len(person['States'])),\r\n style_function=state_style(person, color)\r\n ).add_to(us_map)",
"def make_map(df):\n fig = px... | [
"0.6094421",
"0.60562986",
"0.600109",
"0.58970064",
"0.58948016",
"0.57658577",
"0.56608766",
"0.5599893",
"0.55898225",
"0.552269",
"0.5476184",
"0.5427226",
"0.53729886",
"0.53549206",
"0.5288607",
"0.52129906",
"0.52069104",
"0.51814765",
"0.51725775",
"0.51422197",
"0.50... | 0.0 | -1 |
state map where users can click on state and changes colors | def world_map():
# AJAX CALL FOR USER STATE VISIT
# get current user from session
user_id = session["user_id"]
print user_id
# inputs from state map in console.log [feature.id] = state_id feature = state
country_id = request.form['mapData.id']
print country_id
country = db.session.query(Country).filter_by(country_id=country_id).one()
user_country_obj = User_Country(country_id=country_id, user_id=user_id, visited_at=datetime.now())
# TODO: make the object be added
db.session.add(user_country_obj)
db.session.commit()
# # # TODO: query datbase for the information to go into this json
user_country_json_data = {"country_id": country.country_id, "country_name": country.country_name, "visited_at": user_country_obj.visited_at}
return jsonify(user_country_json_data) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_state(canvas, state):\n for key, value in state.items():\n set_attribute(canvas, key, value)",
"def state_style(person, color):\r\n return lambda x: {'fillColor': color if x['id']\r\n in person['States'] else 'white',\r\n 'color': 'black',\r\n ... | [
"0.6322096",
"0.6314533",
"0.62529945",
"0.61717737",
"0.6053243",
"0.5946069",
"0.583432",
"0.582224",
"0.58115244",
"0.58107173",
"0.57522345",
"0.5743763",
"0.5738496",
"0.57296467",
"0.5709835",
"0.56997746",
"0.56476825",
"0.56447077",
"0.55822253",
"0.5581793",
"0.55771... | 0.0 | -1 |
Takes a full media url from Bandwidth and extracts the media id | def get_media_id(media_url):
split_url = media_url.split("/")
#Media urls of the format https://messaging.bandwidth.com/api/v2/users/123/media/file.png
if split_url[-2] == "media":
return split_url[-1]
#Media urls of the format https://messaging.bandwidth.com/api/v2/users/123/media/abc/0/file.png
else:
#This is required for now due to the SDK parsing out the `/`s
return "%2F".join(split_url[-3:]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def media_id(self):\n try:\n return Html.toId(self.content)\n except:\n Mp3Error(1)",
"def _id_from_url(url):\n url = re.sub(r'\\?.*', '', url)\n video_id = url.split('/')[-2]\n return video_id",
"def media_content_id(self):\n return self._media_u... | [
"0.65878916",
"0.6518125",
"0.6397448",
"0.6382529",
"0.61623603",
"0.61505437",
"0.6048567",
"0.60049254",
"0.60015476",
"0.5999453",
"0.5963927",
"0.5951866",
"0.59363306",
"0.59259576",
"0.59230775",
"0.5900245",
"0.5842724",
"0.5811348",
"0.57866263",
"0.5779499",
"0.5772... | 0.79839915 | 0 |
Takes a full media url from Bandwidth and extracts the filename | def get_media_filename(media_url):
return media_url.split("/")[-1] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_file_path(self, url):\n try:\n row = ET.fromstring(self._session.get(url, headers={\"Access-Token\":self._token}).text)[1][2][1]\n data = [row[1].text, row[1].text, row[2].text]\n if \" - S\" in data[0]:\n data[0] = data[0][0:data[1].rfind(\" - S\")]\... | [
"0.7303174",
"0.70052874",
"0.68807364",
"0.67521065",
"0.67236215",
"0.66535795",
"0.661498",
"0.6603966",
"0.6586546",
"0.6538387",
"0.6509765",
"0.64932483",
"0.64535576",
"0.6430052",
"0.638914",
"0.63559645",
"0.6279012",
"0.62202466",
"0.6168988",
"0.61595553",
"0.60698... | 0.7981755 | 0 |
Takes a list of media urls and downloads the media into the temporary storage | def download_media_from_bandwidth(media_urls):
downloaded_media_files = []
for media_url in media_urls:
media_id = get_media_id(media_url)
filename = get_media_filename(media_url)
with open(filename, "wb") as f:
try:
downloaded_media = messaging_client.get_media(MESSAGING_ACCOUNT_ID, media_id)
f.write(downloaded_media.body)
except Exception as e:
print(e)
downloaded_media_files.append(filename)
return downloaded_media_files | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def downloadLocal(url_list,path):\n print(\"You are downloading {} images\".format(parser_arguments().limit),end=\" \");print(\"of {} class.\".format(parser_arguments().classes))\n print(\"Please, be patient :)\")\n for i in range(len(url_list)):\n filename= url_list[i].split(\"/\")[-1] # name of t... | [
"0.66829646",
"0.6647512",
"0.6639991",
"0.6638432",
"0.66363764",
"0.6452788",
"0.6394921",
"0.63525635",
"0.6312523",
"0.6243412",
"0.6240311",
"0.61974305",
"0.6190884",
"0.61289537",
"0.6114882",
"0.6058402",
"0.6052626",
"0.6050897",
"0.59977293",
"0.5993598",
"0.5966962... | 0.75554264 | 0 |
Takes a list of media files and uploads them to Bandwidth The media file names are used as the media id | def upload_media_to_bandwidth(media_files):
for filename in media_files:
with open(filename, "rb") as f:
file_content = f.read()
try:
##Note: The filename is doubling as the media id##
response = messaging_client.upload_media(MESSAGING_ACCOUNT_ID, filename, str(len(file_content)), body=file_content)
except Exception as e:
print(e) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def upload_files(self, files):\n\n for f in files:\n self.scp.put(f, recursive=True)",
"def upload(self, folder_list, files):\n current_folder_id = self.top_folder_id\n for fname in folder_list:\n current_folder_id = self._fetch_or_create_folder(fname, current_folder_id)\n for fil... | [
"0.619183",
"0.60925543",
"0.6053126",
"0.5934323",
"0.59186196",
"0.57231236",
"0.5704533",
"0.57031876",
"0.57009745",
"0.56800365",
"0.5639666",
"0.5630675",
"0.56029576",
"0.56010246",
"0.55941606",
"0.5494556",
"0.54650325",
"0.54639095",
"0.5461023",
"0.5386679",
"0.536... | 0.8371117 | 0 |
Removes all of the given files | def remove_files(files):
for file_name in files:
os.remove(file_name) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def remove_files(self, files: Set[str]) -> None:\n for f in files:\n src = os.path.join(self.get_directory(), f)\n os.remove(src)",
"def clean(files):\n\tfor file in files:\n\t\ttry:\n\t\t\tos.remove(file)\n\t\texcept Exception as e:\n\t\t\tprint(e)",
"def remove_files(file_list):\... | [
"0.8326417",
"0.8259835",
"0.7764254",
"0.7697654",
"0.76045775",
"0.76031864",
"0.7492463",
"0.7479637",
"0.7377181",
"0.73686516",
"0.7330737",
"0.7330138",
"0.7317665",
"0.7217544",
"0.72154135",
"0.720359",
"0.719617",
"0.71945643",
"0.71943825",
"0.71901155",
"0.71693027... | 0.8486456 | 0 |
Takes information from a Bandwidth inbound message callback that includes media and responds with a text message containing the same media sent through Bandwidth's media resource. | def handle_inbound_media_mms(to, from_, media):
downloaded_media_files = download_media_from_bandwidth(media)
upload_media_to_bandwidth(downloaded_media_files)
remove_files(downloaded_media_files)
body = MessageRequest()
body.application_id = MESSAGING_APPLICATION_ID
body.to = [from_]
body.mfrom = to
body.text = "Rebound!"
#Build the media URL by taking the media ids (that doubled as the file names) and appending them to
#the bandwidth media base url
body.media = [BANDWIDTH_MEDIA_BASE_ENDPOINT + media_file for media_file in downloaded_media_files]
try:
messaging_client.create_message(MESSAGING_ACCOUNT_ID, body)
except Exception as e:
print(e)
return None | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def handle_inbound_message():\n data = json.loads(request.data)\n\n if data[0][\"type\"] == \"message-received\":\n if \"call me\" in data[0][\"message\"][\"text\"]:\n handle_inbound_sms_call_me(data[0][\"message\"][\"to\"][0], data[0][\"message\"][\"from\"])\n elif \"media\" in data... | [
"0.6259964",
"0.6026629",
"0.586778",
"0.5793742",
"0.5789032",
"0.5778347",
"0.56937456",
"0.56709975",
"0.5563751",
"0.55476165",
"0.5544929",
"0.5535647",
"0.55325127",
"0.55144805",
"0.55017763",
"0.5446944",
"0.5444091",
"0.5428671",
"0.5415789",
"0.54080504",
"0.5401289... | 0.68463576 | 0 |
Take information from a Bandwidth inbound message callback and responds with a text message with the current date and time | def handle_inbound_sms(to, from_):
body = MessageRequest()
body.application_id = MESSAGING_APPLICATION_ID
body.to = [from_]
body.mfrom = to
body.text = "The current date-time is: " + str(time.time() * 1000) + " milliseconds since the epoch"
try:
messaging_client.create_message(MESSAGING_ACCOUNT_ID, body)
except Exception as e:
print(e)
return None | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def main(connection, info, conf) :\r\n connection.rawsend(\"NOTICE %s :\u0001TIME %s\u0001\\n\" % (info[\"sender\"], time.strftime(\"%b %d %Y, %H:%M:%S %Z\")))",
"def bitfinex2_on_message(caller, msg):\n msg = json.loads(msg)\n if caller.subbed_count == 7:\n if msg[1] == \"te\":\n chnl... | [
"0.6424744",
"0.63330656",
"0.6156469",
"0.5986524",
"0.5985888",
"0.5976923",
"0.59701186",
"0.59519804",
"0.58698654",
"0.58497447",
"0.5847021",
"0.5816966",
"0.57789177",
"0.5738842",
"0.5738044",
"0.5738044",
"0.5737132",
"0.57114446",
"0.5695387",
"0.5639442",
"0.563712... | 0.5533975 | 30 |
Takes information from a Bandwidth inbound message callback and initiates a call | def handle_inbound_sms_call_me(to, from_):
handle_call_me(to, from_) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def on_call(message, client):\n pass",
"def _call(self, msg, cb, *args):\r\n if not self._status:\r\n raise InterfaceDisabledError('A disabled interface should not be '\r\n 'called.')\r\n\r\n if not callable(cb):\r\n raise T... | [
"0.63667405",
"0.60182863",
"0.59576505",
"0.59576505",
"0.59211445",
"0.589763",
"0.589763",
"0.589763",
"0.5851596",
"0.5813852",
"0.5791376",
"0.57506865",
"0.57401466",
"0.5735596",
"0.5733125",
"0.57320815",
"0.571448",
"0.5710372",
"0.570059",
"0.5682062",
"0.5653709",
... | 0.62250584 | 1 |
A method for showing how to handle Bandwidth messaging callbacks. For inbound SMS that contains the phrase "call me", a phone call is made and the user is asked to forward the call to another number For inbound SMS that doesn't contain the phrase "call me", the response is a SMS with the date and time. For inbound MMS with a media attachment, the response is the same media attachment sent through Bandwidth's media resource. For all other events, the callback is logged to console | def handle_inbound_message():
data = json.loads(request.data)
if data[0]["type"] == "message-received":
if "call me" in data[0]["message"]["text"]:
handle_inbound_sms_call_me(data[0]["message"]["to"][0], data[0]["message"]["from"])
elif "media" in data[0]["message"]:
handle_inbound_media_mms(data[0]["message"]["to"][0], data[0]["message"]["from"], data[0]["message"]["media"])
else:
handle_inbound_sms(data[0]["message"]["to"][0], data[0]["message"]["from"])
else:
print(data)
return "" | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def handle_inbound_sms_call_me(to, from_):\n handle_call_me(to, from_)",
"def handle_inbound_media_mms(to, from_, media):\n downloaded_media_files = download_media_from_bandwidth(media)\n upload_media_to_bandwidth(downloaded_media_files)\n remove_files(downloaded_media_files)\n body = MessageReque... | [
"0.6835022",
"0.60718656",
"0.59854895",
"0.59607",
"0.5945775",
"0.5932107",
"0.5932107",
"0.5917332",
"0.5839464",
"0.5817131",
"0.5794533",
"0.574719",
"0.5722084",
"0.5713493",
"0.57134485",
"0.5699287",
"0.5698061",
"0.56944233",
"0.5692819",
"0.5692426",
"0.56885827",
... | 0.6912686 | 0 |
Formats |record| with color. | def format(self, record):
msg = super(ColoredFormatter, self).format(record)
color = self._COLOR_MAPPING.get(record.levelname)
if self._use_colors and color:
msg = '%s%s%s' % (color, msg, self._RESET)
return msg | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def format(self, record):\n\n\t\t# Use copy.copy - c.f. https://stackoverflow.com/a/7961390\n\t\tcolored_record = copy.copy(record)\n\n\t\tcolor = None\n\t\ttry:\n\t\t\tcolor = record.color\n\t\texcept AttributeError as e:\n\t\t\tpass\n\n\t\tif color is not None:\n\t\t\tif color is None or not color or color == \"... | [
"0.8311548",
"0.7502058",
"0.74881405",
"0.7452882",
"0.7222441",
"0.7179237",
"0.7129312",
"0.70246935",
"0.6647282",
"0.6643303",
"0.6622566",
"0.6554629",
"0.6488578",
"0.64701414",
"0.64188516",
"0.6313016",
"0.6285745",
"0.61440796",
"0.59593135",
"0.59322673",
"0.592492... | 0.76215637 | 1 |
Setup the logging module. | def setup_logging(debug=False, quiet=0):
fmt = '%(asctime)s: %(levelname)-7s: '
if debug:
fmt += '%(filename)s:%(funcName)s: '
fmt += '%(message)s'
# 'Sat, 05 Oct 2013 18:58:50 -0400 (EST)'
datefmt = '%a, %d %b %Y %H:%M:%S %z'
tzname = time.strftime('%Z', time.localtime())
if tzname and ' ' not in tzname and len(tzname) <= 5:
# If the name is verbose, don't include it. Some systems like to use
# "Eastern Daylight Time" which is much too chatty.
datefmt += f' ({tzname})'
if debug:
level = logging.DEBUG
elif quiet <= 0:
level = logging.INFO
elif quiet <= 1:
level = logging.WARNING
elif quiet <= 2:
level = logging.ERROR
elif quiet <= 3:
level = logging.CRITICAL
formatter = ColoredFormatter(fmt, datefmt)
handler = logging.StreamHandler(stream=sys.stdout)
handler.setFormatter(formatter)
logger = logging.getLogger()
logger.addHandler(handler)
logger.setLevel(level) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __setup_logging(self):\n\n loglevel = logging.INFO\n if self.config[\"verbose\"]:\n loglevel = logging.DEBUG\n\n FORMAT = '[%(asctime)s %(filename)s:%(lineno)s %(levelname)s] %(message)s'\n if self.config[\"log\"]:\n logging.basicConfig(format=FORMAT, level=log... | [
"0.8276232",
"0.8171842",
"0.7997143",
"0.79586464",
"0.7953245",
"0.7951404",
"0.79431313",
"0.787981",
"0.78718454",
"0.7863005",
"0.785225",
"0.7807847",
"0.7795416",
"0.77918327",
"0.77759767",
"0.77299064",
"0.77242017",
"0.7685312",
"0.76751614",
"0.7672853",
"0.7662601... | 0.0 | -1 |
Parse all the |args| and save the results to |namespace|. | def parse_args(self, args=None, namespace=None):
# This will call our parse_known_args below, so don't use setup_logging.
namespace = argparse.ArgumentParser.parse_args(
self, args=args, namespace=namespace)
return namespace | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse(self, args):\n pass",
"def parse_arguments(args):",
"def parse_args(self, args: List[str]) -> Namespace:\n parser = self._to_parser()\n args = parser.parse_args(args)\n if hasattr(args, 'dm_commands'):\n if args.dm_commands is not None:\n args.dm_... | [
"0.72242314",
"0.70827246",
"0.7079136",
"0.6844468",
"0.684225",
"0.678038",
"0.6626821",
"0.65809435",
"0.65164214",
"0.6471258",
"0.64519733",
"0.64393944",
"0.64139444",
"0.63585967",
"0.631252",
"0.62846994",
"0.62844545",
"0.6282284",
"0.6273448",
"0.6238388",
"0.620952... | 0.70003927 | 3 |
Parse all the |args| and save the results to |namespace|. | def parse_known_args(self, args=None, namespace=None):
namespace, unknown_args = argparse.ArgumentParser.parse_known_args(
self, args=args, namespace=namespace)
setup_logging(debug=namespace.debug, quiet=namespace.quiet)
return (namespace, unknown_args) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse(self, args):\n pass",
"def parse_arguments(args):",
"def parse_args(self, args: List[str]) -> Namespace:\n parser = self._to_parser()\n args = parser.parse_args(args)\n if hasattr(args, 'dm_commands'):\n if args.dm_commands is not None:\n args.dm_... | [
"0.72235036",
"0.70820785",
"0.70796216",
"0.70001507",
"0.68445134",
"0.6841379",
"0.67815137",
"0.6625614",
"0.65816057",
"0.65165967",
"0.64699036",
"0.64527774",
"0.643961",
"0.64133555",
"0.6358838",
"0.62851185",
"0.62849003",
"0.62825257",
"0.6272746",
"0.6238674",
"0.... | 0.6311945 | 15 |
Add our custom/consistent set of command line flags. | def add_common_arguments(self, short_options=True):
getopts = lambda *args: args if short_options else args[1:]
self.add_argument(*getopts('-d', '--debug'), action='store_true',
help='Run with debug output.')
self.add_argument(*getopts('-q', '--quiet'), action='count', default=0,
help='Use once to hide info messages, twice to hide '
'warnings, and thrice to hide errors.') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def AddFlags(arg_parser):\n common_flags.DefineAppsDomainFlagWithDefault(arg_parser)\n common_flags.DefineVerboseFlagWithDefaultFalse(arg_parser)\n\n arg_parser.add_argument(\n '--long_list', '-l', action='store_true', default=False,\n help='Show more columns of output.')\n arg_parser.add_argument(\n... | [
"0.6911403",
"0.6741382",
"0.6687998",
"0.65631276",
"0.6552243",
"0.65478307",
"0.6540075",
"0.65375626",
"0.6467081",
"0.64280957",
"0.6374949",
"0.6354658",
"0.6335308",
"0.633125",
"0.6321641",
"0.6318687",
"0.63147134",
"0.6310211",
"0.6308138",
"0.62982756",
"0.625911",... | 0.5957892 | 47 |
Touch (and truncate) |path|. | def touch(path):
open(path, 'wb').close() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def touch(path: str) -> None:\n Stat.forget(path)\n os.utime(path)",
"def touch(path):\n fd = open(path, 'a')\n fd.close()",
"def Touch(path, makedirs=False):\n if makedirs:\n SafeMakedirs(os.path.dirname(path))\n\n # Create the file if nonexistant.\n open(path, 'a').close()\n # Upda... | [
"0.7507206",
"0.7477994",
"0.7407964",
"0.7295061",
"0.7234373",
"0.7213623",
"0.7138664",
"0.7133505",
"0.6832273",
"0.6770861",
"0.6743686",
"0.6636576",
"0.6419507",
"0.6384915",
"0.6220418",
"0.601276",
"0.5957383",
"0.5900866",
"0.5870614",
"0.5842674",
"0.5808397",
"0... | 0.7130963 | 8 |
Remove |path| and ignore errors if it doesn't exist. | def unlink(path):
try:
os.unlink(path)
except FileNotFoundError:
pass | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def remove(path):\n try:\n os.remove(path)\n except FileNotFoundError:\n _logger.error('file does not exist %s; stack: %s', path, stack_trace())",
"def remove(path):",
"def remove(path: str) -> None:\n if Stat.isfile(path):\n Stat.forget(path)\n os.remove(path)\... | [
"0.80879766",
"0.79950017",
"0.79609793",
"0.7946199",
"0.7846539",
"0.77772456",
"0.77729934",
"0.7742355",
"0.7642514",
"0.76163965",
"0.7585357",
"0.74620676",
"0.74620676",
"0.74493706",
"0.7417251",
"0.7417251",
"0.7414736",
"0.7359514",
"0.7351339",
"0.7341862",
"0.7340... | 0.7559851 | 11 |
Always symlink |path| to a relativized |target|. | def symlink(target, path):
unlink(path)
path = os.path.realpath(path)
target = os.path.relpath(os.path.realpath(target), os.path.dirname(path))
logging.info('Symlinking %s -> %s', path, target)
os.symlink(target, path) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def symlink(path, v=False):\r\n if not os.path.exists(path):\r\n err(path + ' : no such file or directory')\r\n elif not os.path.isdir(path):\r\n err(path + ' : not a directory')\r\n else:\r\n theme_name = os.path.basename(os.path.normpath(path))\r\n theme_path = os.path.join(_... | [
"0.7404254",
"0.7402173",
"0.7312787",
"0.72121716",
"0.7204278",
"0.71373194",
"0.71331364",
"0.71290386",
"0.71224445",
"0.70757365",
"0.69786334",
"0.69786334",
"0.69290304",
"0.68298745",
"0.6800475",
"0.6755648",
"0.67269856",
"0.67166317",
"0.6690445",
"0.66393733",
"0.... | 0.8573706 | 0 |
Return a string for the |cmd| list w/reasonable quoting. | def cmdstr(cmd):
if isinstance(cmd, str):
return cmd
quoted = []
for arg in cmd:
if isinstance(arg, Path):
arg = str(arg)
if ' ' in arg:
arg = '"%s"' % (arg,)
quoted.append(arg)
return ' '.join(quoted) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cmdify(self):\n return \" \".join(\n itertools.chain(\n [_quote_if_contains(self.command, r\"[\\s^()]\")],\n (_quote_if_contains(arg, r\"[\\s^]\") for arg in self.args),\n )\n )",
"def command_list_to_str(command):\n return \" \".join(pipes... | [
"0.7206458",
"0.7059188",
"0.6501883",
"0.6480349",
"0.6454796",
"0.6273626",
"0.6229917",
"0.620037",
"0.61765164",
"0.6134786",
"0.610084",
"0.6098873",
"0.60828114",
"0.6048522",
"0.6045765",
"0.602606",
"0.6023066",
"0.6018371",
"0.5999344",
"0.59954375",
"0.59915906",
... | 0.67177594 | 2 |
Run |cmd| inside of |cwd| and exit if it fails. | def run(cmd: List[str],
cmd_prefix: List[str] = None,
log_prefix: List[str] = None,
check: bool = True,
cwd: str = None,
extra_env: Dict[str, str] = None,
**kwargs):
# Python 3.6 doesn't support capture_output.
if sys.version_info < (3, 7):
capture_output = kwargs.pop('capture_output', None)
if capture_output:
assert 'stdout' not in kwargs and 'stderr' not in kwargs
kwargs['stdout'] = subprocess.PIPE
kwargs['stderr'] = subprocess.PIPE
# The |env| setting specifies the entire environment, so we need to manually
# merge our |extra_env| settings into it before passing it along.
if extra_env is not None:
env = kwargs.pop('env', os.environ)
env = env.copy()
env.update(extra_env)
kwargs['env'] = env
if not log_prefix:
log_prefix = []
log_cmd = log_prefix + cmd
if not cmd_prefix:
cmd_prefix = []
real_cmd = cmd_prefix + cmd
if cwd is None:
cwd = os.getcwd()
logging.info('Running: %s\n (cwd = %s)', cmdstr(log_cmd), cwd)
if cmd_prefix:
logging.debug('Real full command: %s', cmdstr(real_cmd))
result = subprocess.run(real_cmd, cwd=cwd, check=False, **kwargs)
if check and result.returncode:
logging.error('Running %s failed!', log_cmd[0])
if result.stdout is not None:
logging.error('stdout:\n%s', result.stdout)
if result.stderr is not None:
logging.error('stderr:\n%s', result.stderr)
sys.exit(result.returncode)
return result | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def run_cmd(self, cmd, cwd=None):\n logging.debug('Running %s', cmd)\n proc = subprocess.Popen(\n cmd,\n cwd=cwd or self._app_dir,\n stdout=subprocess.PIPE)\n output, _ = proc.communicate()\n if proc.returncode:\n sys.stderr.write('\\n' + output + '\\n')\n raise subproces... | [
"0.72233146",
"0.714203",
"0.7020301",
"0.6959047",
"0.6955779",
"0.69045275",
"0.6902057",
"0.67949283",
"0.67763764",
"0.6725198",
"0.6682631",
"0.6600782",
"0.6563511",
"0.6562186",
"0.6558308",
"0.65555507",
"0.65034527",
"0.649164",
"0.6484016",
"0.6430076",
"0.6378891",... | 0.6026382 | 47 |
Return sha256 hex digest of |path|. | def sha256(path: Union[Path, str]) -> str:
# The file shouldn't be too big to load into memory, so be lazy.
with open(path, 'rb') as fp:
data = fp.read()
m = hashlib.sha256()
m.update(data)
return m.hexdigest() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_hash(path: Path) -> str:\n m = hashlib.sha256()\n m.update(path.read_bytes())\n return m.hexdigest()",
"def _get_hash(self, path):\n with open(path, \"r\") as fp:\n content = fp.read()\n\n return sha256(content).hexdigest()",
"def hash_of_file(path):\n with open(pat... | [
"0.84448147",
"0.7994854",
"0.7628011",
"0.7436823",
"0.73758745",
"0.72930205",
"0.72381604",
"0.7233479",
"0.72159195",
"0.70954305",
"0.70228964",
"0.69657105",
"0.695293",
"0.6945403",
"0.69420445",
"0.6941568",
"0.6924218",
"0.68792206",
"0.68724394",
"0.68499297",
"0.68... | 0.83290803 | 1 |
Unpack |archive| into |cwd|. | def unpack(archive: Union[Path, str],
cwd: Optional[Path] = None,
files: Optional[List[Union[Path, str]]] = ()):
archive = Path(archive)
if cwd is None:
cwd = Path.cwd()
if files:
files = ['--'] + list(files)
else:
files = []
# Try to make symlink usage easier in Windows.
extra_env = {
'MSYS': 'winsymlinks:nativestrict',
}
logging.info('Unpacking %s', archive.name)
# We use relpath here to help out tar on platforms where it doesn't like
# paths with colons in them (e.g. Windows). We have to construct the full
# before running through relpath as relative archives will implicitly be
# checked against os.getcwd rather than the explicit cwd.
src = os.path.relpath(cwd / archive, cwd)
run(['tar', '--no-same-owner', '-xf', src] + files, cwd=cwd,
extra_env=extra_env) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _unpack_archive(self):\n with zipfile.ZipFile(self._archive_full_path, 'r') as zip_ref:\n zip_ref.extractall(self._storage_path)\n\n _logger.debug('Archive has been unpacked.')",
"def unpack_dir(indir, outdir, bands=None, clouds=None):\r\n archives = glob.glob(indir + '*.tar.gz')\... | [
"0.72888505",
"0.6926044",
"0.6809945",
"0.6746972",
"0.6636526",
"0.65584207",
"0.6507182",
"0.6496216",
"0.6464963",
"0.6461252",
"0.64201564",
"0.63850856",
"0.6347677",
"0.63212836",
"0.6308422",
"0.6223524",
"0.6171321",
"0.61497027",
"0.61496353",
"0.614074",
"0.6140402... | 0.7522544 | 0 |
Create an |archive| with |paths| in |cwd|. The output will use XZ compression. | def pack(archive: Union[Path, str],
paths: List[Union[Path, str]],
cwd: Optional[Path] = None,
exclude: Optional[List[Union[Path, str]]] = ()):
archive = Path(archive)
if cwd is None:
cwd = Path.cwd()
if archive.suffix == '.xz':
archive = archive.with_suffix('')
# Make sure all the paths have sane permissions.
def walk(path):
if path.is_symlink():
return
elif path.is_dir():
# All dirs should be 755.
mode = path.stat().st_mode & 0o777
if mode != 0o755:
path.chmod(0o755)
for subpath in path.glob('*'):
walk(subpath)
elif path.is_file():
# All scripts should be 755 while other files should be 644.
mode = path.stat().st_mode & 0o777
if mode in (0o755, 0o644):
return
if mode & 0o111:
path.chmod(0o755)
else:
path.chmod(0o644)
else:
raise ValueError(f'{path}: unknown file type')
logging.info('Forcing sane permissions on inputs')
for path in paths:
walk(cwd / path)
logging.info('Creating %s tarball', archive.name)
# We use relpath here to help out tar on platforms where it doesn't like
# paths with colons in them (e.g. Windows). We have to construct the full
# before running through relpath as relative archives will implicitly be
# checked against os.getcwd rather than the explicit cwd.
tar = os.path.relpath(cwd / archive, cwd)
run(['tar', '--owner=0', '--group=0', '-cf', tar] +
[f'--exclude={x}' for x in exclude] + ['--'] + paths, cwd=cwd)
logging.info('Compressing tarball')
run(['xz', '-f', '-T0', '-9', tar], cwd=cwd) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def generate_archive_file(location, paths, environment=None, compression=None, archive_format=None):\n if archive_format == 'zip':\n archive = ZipTarWrapper(location.name, 'w', zipfile.ZIP_DEFLATED)\n else:\n write_type = \"w\"\n if compression:\n write_type = \"w|{0}\".format... | [
"0.6538356",
"0.6479174",
"0.64458525",
"0.6059645",
"0.6056643",
"0.5963025",
"0.596087",
"0.5931735",
"0.5828145",
"0.5716116",
"0.57026917",
"0.56945693",
"0.56655836",
"0.5658968",
"0.5611987",
"0.5595439",
"0.5587479",
"0.5581423",
"0.55702585",
"0.5558787",
"0.5543491",... | 0.720668 | 0 |
Fetch |uri| and write the results to |output| (or return BytesIO). | def fetch_data(uri: str, output=None, verbose: bool = False, b64: bool = False):
# This is the timeout used on each blocking operation, not the entire
# life of the connection. So it's used for initial urlopen and for each
# read attempt (which may be partial reads). 5 minutes should be fine.
TIMEOUT = 5 * 60
if output is None:
output = io.BytesIO()
try:
with urllib.request.urlopen(uri, timeout=TIMEOUT) as infp:
mb = 0
length = infp.length
while True:
data = infp.read(1024 * 1024)
if not data:
break
# Show a simple progress bar if the user is interactive.
if verbose:
mb += 1
print('~%i MiB downloaded' % (mb,), end='')
if length:
percent = mb * 1024 * 1024 * 100 / length
print(' (%.2f%%)' % (percent,), end='')
print('\r', end='', flush=True)
if b64:
data = base64.b64decode(data)
output.write(data)
except urllib.error.HTTPError as e:
logging.error('%s: %s', uri, e)
sys.exit(1)
return output | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def fetch(uri, output, b64=False):\n output = os.path.abspath(output)\n distdir, name = os.path.split(output)\n if os.path.exists(output):\n logging.info('Using existing download: %s', name)\n return\n\n logging.info('Downloading %s to %s', uri, output)\n os.makedirs(distdir, exist_ok=... | [
"0.6911675",
"0.6535504",
"0.6211069",
"0.60043406",
"0.59758717",
"0.58903176",
"0.5829563",
"0.5752656",
"0.57295847",
"0.5723706",
"0.57197624",
"0.5693564",
"0.5693242",
"0.56680185",
"0.5658385",
"0.56308764",
"0.5616187",
"0.5565478",
"0.5563205",
"0.5561096",
"0.554989... | 0.7404381 | 0 |
Download |uri| and save it to |output|. | def fetch(uri, output, b64=False):
output = os.path.abspath(output)
distdir, name = os.path.split(output)
if os.path.exists(output):
logging.info('Using existing download: %s', name)
return
logging.info('Downloading %s to %s', uri, output)
os.makedirs(distdir, exist_ok=True)
# Use kokoro build cache or Gentoo distdir if available.
for envvar in ('KOKORO_GFILE_DIR', 'DISTDIR'):
cache_dir = os.getenv(envvar)
if cache_dir:
cache_file = os.path.join(cache_dir, name)
if os.path.exists(cache_file):
logging.info(' Cache hit via %s', envvar)
symlink(cache_file, output)
return
# Don't be verbose if running on CI systems.
verbose = os.isatty(sys.stdout.fileno())
# We use urllib rather than wget or curl to avoid external utils & libs.
# This seems to be good enough for our needs.
tmpfile = output + '.tmp'
for _ in range(0, 5):
try:
with open(tmpfile, 'wb') as outfp:
fetch_data(uri, outfp, verbose=verbose, b64=b64)
break
except ConnectionError as e:
time.sleep(1)
logging.warning('Download failed; retrying: %s', e)
else:
logging.error('Unabled to download; giving up')
unlink(tmpfile)
sys.exit(1)
# Clear the progress bar.
if verbose:
print(' ' * 80, end='\r')
os.rename(tmpfile, output) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def download_img(self, url, output):\n try:\n print(\"Downloading from: %s\" % url)\n with open(output, 'wb') as f:\n f.write(urllib2.urlopen(url).read())\n print(\"Wrote to: %s\" % output)\n except IOError, e:\n print(e)",
"def download(se... | [
"0.75725585",
"0.7476779",
"0.74181694",
"0.7360501",
"0.73380905",
"0.7268354",
"0.72478145",
"0.71812546",
"0.7168818",
"0.70615435",
"0.7010822",
"0.69799095",
"0.696379",
"0.69605494",
"0.6942747",
"0.6924495",
"0.69024444",
"0.68827945",
"0.6880968",
"0.6865058",
"0.6858... | 0.7142565 | 9 |
Download our copies of node & npm to our tree and updates env ($PATH). | def node_and_npm_setup():
# We have to update modules first as it'll nuke the dir node lives under.
node.modules_update()
node.update() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def update_requirements():\n with cd(REMOTE_REPO_DIR):\n cmd = ['npm install']\n # cmd += ['--requirement %s' % os.path.join(CODE_DIR,'requirements.txt')]\n run(' '.join(cmd))",
"def InstallNodeDependencies():\n logging.info('entering ...')\n # Install the project dependencies specifie... | [
"0.6407233",
"0.63381755",
"0.6324544",
"0.6251576",
"0.6231938",
"0.6057195",
"0.5836138",
"0.5828892",
"0.5789863",
"0.5718106",
"0.56944567",
"0.56539077",
"0.5616942",
"0.5609459",
"0.5526702",
"0.5480729",
"0.5467356",
"0.54643357",
"0.5417278",
"0.5364148",
"0.53312916"... | 0.7617056 | 0 |
Load a module from the filesystem. | def load_module(name, path):
loader = importlib.machinery.SourceFileLoader(name, path)
module = types.ModuleType(loader.name)
loader.exec_module(module)
return module | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_module(module_name: str, module_path: str) -> object:\n spec = module_util.spec_from_file_location(module_name, module_path)\n module = module_util.module_from_spec(spec)\n spec.loader.exec_module(module) # type: ignore\n return module",
"def load_module(path):\n spec = spec_from_file_location(\"... | [
"0.7140824",
"0.7115812",
"0.7082071",
"0.7029506",
"0.7029197",
"0.6992073",
"0.6935706",
"0.6864377",
"0.6848782",
"0.6841059",
"0.68201846",
"0.6806607",
"0.67745715",
"0.6732326",
"0.6725582",
"0.6686308",
"0.6678542",
"0.6671717",
"0.6595986",
"0.6595986",
"0.6583503",
... | 0.74431866 | 0 |
Load & cache the program module. | def _module(self):
if self._module_cache is None:
self._module_cache = load_module(self._name, self._path)
return self._module_cache | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load(self):\n\n\t\tif self.module is None:\n\t\t\t# Cause the interpreter to load the module in local namespace ...\n\t\t\texec \"import \" + self.name\n\n\t\t\t# Store the module object ...\n\t\t\tobject.__setattr__(self, 'module', eval(self.name))",
"def load(self):\n \"\"\"Load a program into memor... | [
"0.64689153",
"0.63654965",
"0.62676257",
"0.62425035",
"0.62108284",
"0.62063473",
"0.61392486",
"0.6114491",
"0.602539",
"0.60204077",
"0.60017616",
"0.59714663",
"0.588076",
"0.5877579",
"0.58205396",
"0.5767681",
"0.5746382",
"0.57439184",
"0.57372934",
"0.5737229",
"0.57... | 0.6589164 | 0 |
Dynamic forwarder to module members. | def __getattr__(self, name):
return getattr(self._module, name) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def forward(self,input):\n\t\traise RuntimeError(\"All subclasses of Module must implement a forward method\")",
"def forward(self, X):\n res = X\n for i, module in enumerate(self.modules):\n res = module.forward(res)\n\n return res",
"def forward(self, x):\n result = x\n... | [
"0.61396086",
"0.6047265",
"0.6046735",
"0.5913129",
"0.5799977",
"0.5715483",
"0.5634315",
"0.5634315",
"0.5568903",
"0.5568903",
"0.5526504",
"0.5521884",
"0.5437717",
"0.5414434",
"0.5402117",
"0.54014426",
"0.53860456",
"0.5361227",
"0.52834386",
"0.5244702",
"0.5238629",... | 0.0 | -1 |
Set the packet length. | def _set_packet_len(self, packet_len):
self._packet_len = packet_len | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def setPacketLength(self):\n self.packetLength = len(self) - PRIMARY_HEADER_BYTE_SIZE - 1",
"def setLength(self, new_length):\n\n self.length = new_length",
"def length(self, length):\n\n self._length = length",
"def set_length(self, ak_tpl: BKT, newLength: float): # -> None:\n ...",
... | [
"0.7967779",
"0.7632073",
"0.72674304",
"0.7185319",
"0.7084449",
"0.70364594",
"0.6882304",
"0.66527474",
"0.6593729",
"0.6497038",
"0.64803594",
"0.6373639",
"0.63581616",
"0.63335747",
"0.6284977",
"0.6236442",
"0.6221398",
"0.6134403",
"0.6132038",
"0.6003637",
"0.597266"... | 0.8634613 | 0 |
Increment control counter for flow control of Ethernet traffic. | def update_control(self):
self._control_ctr += 0x01 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def increment_counter(self) -> None:",
"def increment_etherscan_calls():\n _increment_counter(\"etherscan_calls\")",
"def inc(self):\n \n self.count += 1",
"def inc( self ):\n self.count += 1",
"def _inc_counter(self) -> None:\n self._state_storage.increment_counter()",
"de... | [
"0.64278454",
"0.642254",
"0.6130352",
"0.60675645",
"0.5942708",
"0.5894269",
"0.5890736",
"0.58173895",
"0.5758865",
"0.5732553",
"0.5684082",
"0.567313",
"0.55923927",
"0.55792695",
"0.55606544",
"0.554892",
"0.55463547",
"0.5544628",
"0.5536674",
"0.55294377",
"0.55287164... | 0.5772331 | 8 |
Return bytes representation of Ethernet header. | def __bytes__(self):
return pack("<HH", self._packet_len, self._control_ctr) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def header_bytes(self, zero_checksum=False):\n b = bytearray()\n\n counter = 0\n integer = 0\n\n # The values are packed into 4-byte integers, since the largest\n # fixed-size header fields are 4-byte IP addresses. After that, they are\n # added to the byte array as 4 byte... | [
"0.71295446",
"0.6759291",
"0.67367053",
"0.6716264",
"0.65858597",
"0.6580915",
"0.6509498",
"0.64819175",
"0.6466296",
"0.6400534",
"0.6400534",
"0.62959313",
"0.62959313",
"0.6222679",
"0.61640424",
"0.6083347",
"0.60510254",
"0.6036172",
"0.60090053",
"0.59898037",
"0.598... | 0.6176237 | 14 |
Creates a XCP Ethernet frame | def create_message(self, packet):
self._header.packet_len = len(bytes(packet))
frame_bytes = super(EthernetTransport, self).create_message(packet)
# Update control counter for next frame
self._header.update_control()
return bytes(frame_bytes) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def gen_ieee_packet(self, data):\n\t\tpacket = Dot15d4FCS() / Dot15d4Data() / Raw(load=data)\n\n\t\tpacket.fcf_srcaddrmode = 2\n\t\tpacket.fcf_destaddrmode = 2\n\n\t\tpacket.fcf_panidcompress = True\n\t\tpacket.fcf_ackreq = True\n\t\tpacket.seqnum = self.seqnum\n\n\t\tpacket.dest_panid = self.link_config.dest_pani... | [
"0.58488214",
"0.5700761",
"0.56956196",
"0.56287456",
"0.56241447",
"0.56202054",
"0.54626226",
"0.5419994",
"0.5410478",
"0.53642374",
"0.53623325",
"0.531552",
"0.52997607",
"0.526246",
"0.5247345",
"0.5247104",
"0.5242202",
"0.5209782",
"0.5174515",
"0.5075918",
"0.503412... | 0.6318154 | 0 |
Computes the pickup_features feature group. To restrict features to a time range, pass in ts_column, start_date, and/or end_date as kwargs. | def pickup_features_fn(df, ts_column, start_date, end_date):
df = filter_df_by_ts(
df, ts_column, start_date, end_date
)
pickupzip_features = (
df.groupBy(
"pickup_zip", window("tpep_pickup_datetime", "1 hour", "15 minutes")
) # 1 hour window, sliding every 15 minutes
.agg(
mean("fare_amount").alias("mean_fare_window_1h_pickup_zip"),
count("*").alias("count_trips_window_1h_pickup_zip"),
)
.select(
col("pickup_zip").alias("zip"),
unix_timestamp(col("window.end")).alias("ts").cast(IntegerType()),
partition_id(to_timestamp(col("window.end"))).alias("yyyy_mm"),
col("mean_fare_window_1h_pickup_zip").cast(FloatType()),
col("count_trips_window_1h_pickup_zip").cast(IntegerType()),
)
)
return pickupzip_features | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def dropoff_features_fn(df, ts_column, start_date, end_date):\n df = filter_df_by_ts(\n df, ts_column, start_date, end_date\n )\n dropoffzip_features = (\n df.groupBy(\"dropoff_zip\", window(\"tpep_dropoff_datetime\", \"30 minute\"))\n .agg(count(\"*\").alias(\"count_trips_window_30m... | [
"0.6709174",
"0.59639823",
"0.5956674",
"0.57902575",
"0.5713756",
"0.5689175",
"0.5615991",
"0.5600183",
"0.5599253",
"0.5595833",
"0.55765986",
"0.55623573",
"0.5488219",
"0.5388274",
"0.53792185",
"0.5378838",
"0.5333837",
"0.53081375",
"0.53008443",
"0.5289871",
"0.525374... | 0.7756553 | 0 |
Computes the dropoff_features feature group. To restrict features to a time range, pass in ts_column, start_date, and/or end_date as kwargs. | def dropoff_features_fn(df, ts_column, start_date, end_date):
df = filter_df_by_ts(
df, ts_column, start_date, end_date
)
dropoffzip_features = (
df.groupBy("dropoff_zip", window("tpep_dropoff_datetime", "30 minute"))
.agg(count("*").alias("count_trips_window_30m_dropoff_zip"))
.select(
col("dropoff_zip").alias("zip"),
unix_timestamp(col("window.end")).alias("ts").cast(IntegerType()),
partition_id(to_timestamp(col("window.end"))).alias("yyyy_mm"),
col("count_trips_window_30m_dropoff_zip").cast(IntegerType()),
is_weekend(col("window.end")).alias("dropoff_is_weekend"),
)
)
return dropoffzip_features | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def pickup_features_fn(df, ts_column, start_date, end_date):\n df = filter_df_by_ts(\n df, ts_column, start_date, end_date\n )\n pickupzip_features = (\n df.groupBy(\n \"pickup_zip\", window(\"tpep_pickup_datetime\", \"1 hour\", \"15 minutes\")\n ) # 1 hour window, sliding... | [
"0.66726613",
"0.5643213",
"0.55374706",
"0.5524301",
"0.5516429",
"0.54855764",
"0.5438203",
"0.538857",
"0.53348887",
"0.53311694",
"0.5320984",
"0.5259109",
"0.5249251",
"0.52357846",
"0.52223134",
"0.5205125",
"0.5173679",
"0.5165818",
"0.51619375",
"0.5140185",
"0.513639... | 0.75834435 | 0 |
Ceilings datetime dt to interval num_minutes, then returns the unix timestamp. | def rounded_unix_timestamp(dt, num_minutes=15):
nsecs = dt.minute * 60 + dt.second + dt.microsecond * 1e-6
delta = math.ceil(nsecs / (60 * num_minutes)) * (60 * num_minutes) - nsecs
return int((dt + timedelta(seconds=delta)).timestamp()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _time_ms(self, dt):\n if dt.tzinfo is None:\n dt = dt.replace(tzinfo=pytz.utc)\n return int((dt - self._EPOCH).total_seconds() * 1000)",
"def _time_ms(dt):\n epoch = datetime.datetime.utcfromtimestamp(0)\n diff = dt - epoch\n return diff.total_seconds() * 1000",
"def _get_... | [
"0.57981074",
"0.5748822",
"0.5663159",
"0.56519955",
"0.5603236",
"0.5469628",
"0.5442284",
"0.54418385",
"0.5433084",
"0.5365743",
"0.5359583",
"0.53497386",
"0.53274846",
"0.5236749",
"0.5208083",
"0.520233",
"0.51816577",
"0.5176535",
"0.51646566",
"0.51259786",
"0.510066... | 0.7375313 | 0 |
Align trigger on display (> 0 is right of center, < 0 is left of center) | def hpos(self, offset_sec = None):
if offset_sec is not None:
if not isinstance(offset_sec, (int, float)):
raise TypeError('delay_sec must be numeric value')
self.command(f'SET Horizontal Offset of Trigger {-offset_sec} sec {"LEFT" if offset_sec < 0 else "RIGHT"} of center')
else:
return self.query_float('ENTER Current Horizontal Offset of Trigger (seconds)') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def center(self):\n if self.pos != 0.0:\n self.pos = 0.0",
"def center_ava(self):\n\t\tself.rect.midbottom = self.screen_rect.midbottom\n\t\tself.x = float(self.rect.x)",
"def center(self):\n cp = self.dat.flowsheet.getCenter()\n self.centerOn(cp[0], cp[1])",
"def centerAxis()... | [
"0.61338747",
"0.60391134",
"0.5984671",
"0.5806344",
"0.57887024",
"0.57887024",
"0.57887024",
"0.57887024",
"0.5788586",
"0.5779757",
"0.5755072",
"0.5707836",
"0.57064337",
"0.57064337",
"0.5662579",
"0.5656464",
"0.5644351",
"0.5622311",
"0.5614773",
"0.5609005",
"0.56051... | 0.0 | -1 |
Return current sample rate in Sa/s | def sample_rate(self):
return self.query_float('ENTER Current Sample Rate (Sa/s)') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def sample_rate(self):\r\n return self.config.sample_rate",
"def sample_rate(self):\n return self._sample_rate",
"def sample_rate(self):\n return self._sample_rate",
"def sample_rate(self):\n return self._sample_rate",
"def sample_rate(self, sr=None):\n return self._sample_ra... | [
"0.81212515",
"0.8000023",
"0.8000023",
"0.7969299",
"0.7864392",
"0.7847092",
"0.782177",
"0.7783444",
"0.7727639",
"0.76789045",
"0.763086",
"0.74798954",
"0.7479725",
"0.7386037",
"0.7357198",
"0.73316765",
"0.7272404",
"0.72663385",
"0.7222648",
"0.70849174",
"0.6931208",... | 0.86877906 | 0 |
Capture scope screen and save as filename. File type determines format as supported by derived class | def screen_capture(self, filename):
self.command(f'CAPTURE SCREEN as {filename}')
return None | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def save_raw(self, filename, typ):\n self.lib.SaveAsRaw(ct.c_char_p(str.encode(filename)),\n ct.c_int(self.savetypes[typ]))",
"def out_filename(self, filetype, format='old', dir=Location.OUT_DIR):\n filename = self.filename(filetype=filetype, format=format)\n #retur... | [
"0.59803706",
"0.58541864",
"0.58138627",
"0.5693963",
"0.5692039",
"0.5593365",
"0.55539596",
"0.55515766",
"0.5475402",
"0.5469633",
"0.5382346",
"0.5378022",
"0.53728104",
"0.53728104",
"0.53492075",
"0.533417",
"0.5317118",
"0.53051895",
"0.53029484",
"0.52836293",
"0.528... | 0.5047978 | 46 |
assert expected_content has been written to stdout | def assertStdoutContains(self, expected_content):
if type(expected_content) is not types.ListType:
expected_content = [ expected_content ]
stdout_message = sys.stdout.getvalue()
for the_text in expected_content:
self.assertIn(the_text, stdout_message,('Stdout "%s" does not contain text "%s"' % (stdout_message, the_text))) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def check_cot_output(self, expected):\n sys.stdout = StringIO.StringIO()\n output = None\n try:\n self.instance.run()\n except (TypeError, ValueError, SyntaxError, LookupError):\n self.fail(traceback.format_exc())\n finally:\n output = sys.stdout.... | [
"0.76000136",
"0.7482878",
"0.7107269",
"0.70161605",
"0.68864036",
"0.68497556",
"0.6828578",
"0.6819774",
"0.6798522",
"0.6753548",
"0.66351914",
"0.6541468",
"0.64065236",
"0.6402621",
"0.6388881",
"0.6368317",
"0.6329488",
"0.63178706",
"0.6316625",
"0.63080114",
"0.63029... | 0.72075444 | 2 |
assert unexpected_content has not been written to stdout | def assertStdoutDoesNotContain(self, unexpected_content):
if type(unexpected_content) is not types.ListType:
unexpected_content = [ unexpected_content ]
stdout_message = sys.stdout.getvalue()
for the_text in unexpected_content:
self.assertNotIn(the_text, stdout_message,('Stdout "%s" contains text "%s"' % (stdout_message, the_text))) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def check_cot_output(self, expected):\n sys.stdout = StringIO.StringIO()\n output = None\n try:\n self.instance.run()\n except (TypeError, ValueError, SyntaxError, LookupError):\n self.fail(traceback.format_exc())\n finally:\n output = sys.stdout.... | [
"0.6872373",
"0.65048116",
"0.6423676",
"0.6372315",
"0.63059235",
"0.6282092",
"0.62726283",
"0.62563837",
"0.61430126",
"0.6134692",
"0.61007786",
"0.60741216",
"0.6065867",
"0.60580695",
"0.6008732",
"0.597988",
"0.58616245",
"0.58479875",
"0.5832719",
"0.5825116",
"0.5822... | 0.69911766 | 0 |
Call this method to extract the widget to pack into your GUI when you are building the viewer into things. | def get_widget(self):
return self.imgwin | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def assemble_widget(self) -> widgets.Widget:\n graph_selection = self._create_layer_selection(layer_type=\"graphs\")\n map_selection = self._create_layer_selection(layer_type=\"maps\")\n view_buttons = self.create_visibility_buttons()\n\n widget = widgets.VBox(\n [\n ... | [
"0.6719459",
"0.6683136",
"0.6647989",
"0.6631315",
"0.6631315",
"0.66061366",
"0.6587179",
"0.6580063",
"0.6485855",
"0.64484394",
"0.643607",
"0.6428566",
"0.6412553",
"0.6378195",
"0.63732135",
"0.6308009",
"0.6247851",
"0.62427694",
"0.62391776",
"0.6239147",
"0.6238216",... | 0.0 | -1 |
Render the image represented by (rgbobj) at dst_x, dst_y in the offscreen pixmap. | def render_image(self, rgbobj, dst_x, dst_y):
self.logger.debug("redraw pixmap=%s" % (self.pixmap))
if self.pixmap is None:
return
self.logger.debug("drawing to pixmap")
# Prepare array for rendering
arr = rgbobj.get_array(self.rgb_order, dtype=np.uint8)
(height, width) = arr.shape[:2]
return self._render_offscreen(self.pixmap, arr, dst_x, dst_y,
width, height) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def draw(self):\r\n self.screen.blit(self.image, self.image.get_rect())",
"def draw(self, surface):\r\n surface.blit(self.image, self.rect)",
"def draw(self):\n self.screen.blit(self.image, self.rect)",
"def draw(self, surface):\n surface.blit(self.image, self.rect)",
"def draw(... | [
"0.61686844",
"0.5998365",
"0.5990171",
"0.59325355",
"0.59325355",
"0.5924451",
"0.5898981",
"0.5876628",
"0.58228207",
"0.5799751",
"0.5746103",
"0.5726643",
"0.5718437",
"0.56835777",
"0.565392",
"0.5641117",
"0.5641117",
"0.5641117",
"0.5641117",
"0.56196475",
"0.5606678"... | 0.8753144 | 0 |
This method is called by the event handler when the size of the window changes (or it can be called manually). We allocate an offscreen pixmap of the appropriate size and inform the superclass of our window size. | def configure_window(self, width, height):
self.configure_surface(width, height) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __ev_resize(self, event):\n\n new_size = event.dict['size']\n surface_size = self.__screen.get_size()\n old_center = self.__screen.get_rect().center\n if new_size != surface_size:\n self.__screen = pygame.display.set_mode(new_size,\n ... | [
"0.72156596",
"0.7100522",
"0.6702604",
"0.6601584",
"0.65673465",
"0.65583104",
"0.65517545",
"0.6497365",
"0.6497365",
"0.647053",
"0.643673",
"0.63569677",
"0.6356837",
"0.6324894",
"0.6282427",
"0.6277227",
"0.62645644",
"0.6249151",
"0.6226418",
"0.62170535",
"0.6205427"... | 0.56322706 | 80 |
Used for generating thumbnails. Does not include overlaid graphics. | def get_plain_image_as_widget(self):
arr = self.getwin_array(order=self.rgb_order)
# convert numpy array to native image widget
image_w = self._get_wimage(arr)
return image_w | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_thumbnail(self, target, format=None):",
"def generate_image(self):\n pass",
"def _prepareImage(self):\n painter = QPainter(self)\n if len(self.thumbs) == 0:\n return\n destwidth = self.width()\n division = len(self.thumbs)\n NF = division\n ... | [
"0.7301337",
"0.6821647",
"0.68065804",
"0.6654889",
"0.66077906",
"0.65570223",
"0.6476974",
"0.64667434",
"0.64605975",
"0.64199996",
"0.64156866",
"0.63598025",
"0.63443893",
"0.63439167",
"0.63422894",
"0.63266927",
"0.6324976",
"0.62868947",
"0.61534524",
"0.60603607",
"... | 0.0 | -1 |
Used for generating thumbnails. Does not include overlaid graphics. | def save_plain_image_as_file(self, filepath, format='png', quality=90):
img_w = self.get_plain_image_as_widget()
# assumes that the image widget has some method for saving to
# a file
img_w.save(filepath, format=format, quality=quality) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_thumbnail(self, target, format=None):",
"def generate_image(self):\n pass",
"def _prepareImage(self):\n painter = QPainter(self)\n if len(self.thumbs) == 0:\n return\n destwidth = self.width()\n division = len(self.thumbs)\n NF = division\n ... | [
"0.7300164",
"0.68219376",
"0.6806696",
"0.6653911",
"0.6605065",
"0.655592",
"0.6475331",
"0.64640075",
"0.64590347",
"0.64180756",
"0.64131033",
"0.63602334",
"0.6345334",
"0.63405406",
"0.6339203",
"0.6324948",
"0.6323947",
"0.62881386",
"0.6151722",
"0.6059803",
"0.600211... | 0.0 | -1 |
Convert the numpy array (which is in our expected order) to a native image object in this widget set. | def _get_wimage(self, arr_np):
#return result
raise NotImplementedError | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def convertNumpy2Image(self, array):\n cv2image = cv2.cvtColor(array, cv2.COLOR_BGR2RGBA)\n img = Image.fromarray(cv2image)\n imgtk = ImageTk.PhotoImage(image=img)\n return imgtk",
"def newimagefromarray(self, *args, **kwargs):\n return _image.image_newimagefromarray(self, *arg... | [
"0.76605815",
"0.7366861",
"0.7267543",
"0.7149821",
"0.7017206",
"0.69027084",
"0.6662344",
"0.6589255",
"0.6467619",
"0.6431062",
"0.63332164",
"0.63316214",
"0.62858456",
"0.62591535",
"0.6197975",
"0.61858237",
"0.6156995",
"0.61221844",
"0.6117985",
"0.60852593",
"0.5992... | 0.5590651 | 42 |
Convert red, green and blue values specified in floats with range 01 to whatever the native widget color object is. | def _get_color(self, r, g, b):
clr = (r, g, b)
return clr | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_color(self, value):\n value = min(max(0,value), 1) * 510\n\n if value < 255:\n redValue = 255\n greenValue = math.sqrt(value) * 16\n greenValue = int(greenValue)\n else:\n greenValue = 255\n value = value - 255\n redValu... | [
"0.6687373",
"0.66278064",
"0.6625339",
"0.6615278",
"0.65561914",
"0.64596033",
"0.64479345",
"0.6447677",
"0.6441892",
"0.64142656",
"0.6391666",
"0.6331374",
"0.6328157",
"0.6308797",
"0.6283234",
"0.62787604",
"0.624464",
"0.6223854",
"0.6213597",
"0.6211883",
"0.6205541"... | 0.6279571 | 15 |
Translate a keycode/keyname in the widget set to a ginga standard ASCII symbol. | def transkey(self, keycode, keyname):
self.logger.debug("keycode=%d keyname='%s'" % (
keycode, keyname))
try:
return self._keytbl[keyname.lower()]
except KeyError:
return keyname | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _translate_keyname(inp):\n convert = {'Equal': '=', 'Escape': 'Esc', 'Delete': 'Del', 'Return': 'Enter',\n 'Page_up': 'PgUp', 'Page_down': 'PgDn'}\n if inp in convert:\n out = convert[inp]\n else:\n out = inp\n return out",
"def process_key(key):\n print(chr(key))",... | [
"0.649627",
"0.64508295",
"0.60739535",
"0.5946068",
"0.5925816",
"0.591658",
"0.5915577",
"0.5905107",
"0.58689904",
"0.5861603",
"0.5852588",
"0.58291864",
"0.5826368",
"0.5734772",
"0.5725578",
"0.57112306",
"0.57053083",
"0.5674953",
"0.565874",
"0.5647493",
"0.5629468",
... | 0.57259935 | 14 |
Called when the window is mapped to the screen. Adjust method signature as appropriate for callback. | def map_event(self, widget, event):
#self.configure_window(width, height)
return self.make_callback('map') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def draw_final_screen(self):\r\n root = Tk()\r\n MapGUI(root, self)\r\n root.geometry('710x540')\r\n root.mainloop()",
"def on_activate(self, caller):\n self.window = GameWindow()\n self.add_window(self.window)",
"def on_window_ready(self):\n pass",
"def rende... | [
"0.66794527",
"0.6534415",
"0.64738363",
"0.6434481",
"0.63836956",
"0.63404757",
"0.62570506",
"0.6250776",
"0.6242063",
"0.6228347",
"0.6141727",
"0.6103516",
"0.6091959",
"0.60864115",
"0.60830456",
"0.6010346",
"0.6000272",
"0.5971659",
"0.597011",
"0.59490347",
"0.594538... | 0.6313375 | 6 |
Called when the window gets focus. Adjust method signature as appropriate for callback. | def focus_event(self, widget, event, hasFocus):
return self.make_callback('focus', hasFocus) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ev_windowfocusgained(self, event: WindowEvent) -> None:",
"def __window_focus(self):\n pass",
"def ev_windowfocusgained(self, event: tcod.event.WindowEvent) -> T | None:",
"def onFocus(*args):",
"def onFocus(*args):",
"def onFocus(*args):",
"def onFocus(*args):",
"def get_focus(self):\n\n ... | [
"0.8171678",
"0.804375",
"0.75519395",
"0.71898013",
"0.71898013",
"0.71898013",
"0.71898013",
"0.71747136",
"0.715196",
"0.6995946",
"0.6974785",
"0.6864648",
"0.6742967",
"0.67170674",
"0.67143035",
"0.66499484",
"0.6622382",
"0.6622382",
"0.6622382",
"0.6622382",
"0.662197... | 0.68105537 | 12 |
Called when the mouse cursor enters the window. Adjust method signature as appropriate for callback. | def enter_notify_event(self, widget, event):
enter_focus = self.t_.get('enter_focus', False)
if enter_focus:
# set focus on widget
pass
return self.make_callback('enter') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ev_windowenter(self, event: WindowEvent) -> None:",
"def mouse_enter(self):\n pass",
"def ev_windowenter(self, event: tcod.event.WindowEvent) -> T | None:",
"def append_cursor_enter_callback(self):",
"def mouse_in(event):\r\n\r\n if str(event.type) == 'Enter':\r\n about... | [
"0.7506842",
"0.72784686",
"0.70456034",
"0.69871587",
"0.6757498",
"0.664396",
"0.6616291",
"0.65236306",
"0.6389402",
"0.6246457",
"0.61803067",
"0.61756974",
"0.61756974",
"0.6149091",
"0.61142",
"0.6091212",
"0.60810506",
"0.6032246",
"0.5978715",
"0.597732",
"0.5919302",... | 0.5393033 | 73 |
Called when the mouse cursor leaves the window. Adjust method signature as appropriate for callback. | def leave_notify_event(self, widget, event):
self.logger.debug("leaving widget...")
return self.make_callback('leave') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ev_windowleave(self, event: WindowEvent) -> None:",
"def OnLeaveWindow(self, event):\r\n \r\n if self._hover_button:\r\n self._hover_button.cur_state = AUI_BUTTON_STATE_NORMAL\r\n self._hover_button = None\r\n self.Refresh()\r\n self.Update()",
"def... | [
"0.7683408",
"0.7552822",
"0.75221896",
"0.7349047",
"0.73260576",
"0.72890663",
"0.7207108",
"0.7075997",
"0.6955286",
"0.6878195",
"0.68585074",
"0.67361873",
"0.67259437",
"0.66449815",
"0.65735984",
"0.6550799",
"0.6520514",
"0.646866",
"0.64424396",
"0.64258564",
"0.6395... | 0.6011161 | 40 |
Called when a key is pressed and the window has the focus. Adjust method signature as appropriate for callback. | def key_press_event(self, widget, event):
# get keyname or keycode and translate to ginga standard
# keyname =
# keycode =
keyname = '' # self.transkey(keyname, keycode)
self.logger.debug("key press event, key=%s" % (keyname))
return self.make_ui_callback('key-press', keyname) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _on_key_press(self, event):",
"def ev_windowfocusgained(self, event: WindowEvent) -> None:",
"def _on_key_release(self, event):",
"def on_key(self, _win, key, _scancode, action, _mods):\n if action == glfw.PRESS or action == glfw.REPEAT:\n if key == glfw.KEY_ESCAPE or key == glfw.KEY_Q:... | [
"0.7016208",
"0.6989728",
"0.696532",
"0.6910112",
"0.6764562",
"0.67168427",
"0.6626978",
"0.6623902",
"0.6604723",
"0.6576953",
"0.6570364",
"0.6550427",
"0.65445656",
"0.65329766",
"0.6531511",
"0.65207005",
"0.6487252",
"0.64807296",
"0.64629245",
"0.6444512",
"0.64369535... | 0.0 | -1 |
Called when a key is released after being pressed. Adjust method signature as appropriate for callback. | def key_release_event(self, widget, event):
# get keyname or keycode and translate to ginga standard
# keyname =
# keycode =
keyname = '' # self.transkey(keyname, keycode)
self.logger.debug("key release event, key=%s" % (keyname))
return self.make_ui_callback('key-release', keyname) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def key_release_event(self, event):\n pass",
"def _on_key_release(self, event):",
"def on_key_release(self, key, modifiers):\n player_controller.input_release(key, self.player)",
"def keyReleaseEvent(self, event):\n self.game_engine.input_manager.keyReleaseEvent(event)",
"def _onkeyrel... | [
"0.8233656",
"0.7974817",
"0.7656666",
"0.76358575",
"0.74908",
"0.73535097",
"0.73379964",
"0.7314337",
"0.7266822",
"0.7175188",
"0.7162018",
"0.7148087",
"0.70924264",
"0.7065574",
"0.70232534",
"0.7012686",
"0.7012686",
"0.70101947",
"0.70101947",
"0.6966152",
"0.69470584... | 0.76694167 | 2 |
Called when a mouse button is pressed in the widget. Adjust method signature as appropriate for callback. | def button_press_event(self, widget, event):
x, y = event.x, event.y
# x, y = coordinates where the button was pressed
self.last_win_x, self.last_win_y = x, y
button = 0
# Prepare a button mask with bits set as follows:
# left button: 0x1
# middle button: 0x2
# right button: 0x4
# Others can be added as appropriate
self.logger.debug("button down event at %dx%d, button=%x" % (x, y, button))
data_x, data_y = self.check_cursor_location()
return self.make_ui_callback('button-press', button, data_x, data_y) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def on_mouse_press(self, x, y, button):\n\n pass",
"def ev_mousebuttondown(self, event: MouseButtonDown) -> None:",
"def handle_mouse_press(self, event):",
"def mouse_press_event(self, x: int, y: int, button: int):\n pass",
"def on_mouse_press(self, x, y, button, key_modifiers):\r\n pa... | [
"0.8186688",
"0.7803107",
"0.7685904",
"0.7667033",
"0.7550329",
"0.75264764",
"0.74540734",
"0.74537903",
"0.7434162",
"0.71306",
"0.71141076",
"0.7086629",
"0.70717835",
"0.70475805",
"0.70216006",
"0.70136315",
"0.69730556",
"0.69179136",
"0.69159424",
"0.69106615",
"0.690... | 0.786055 | 1 |
Called when a mouse button is released after being pressed. Adjust method signature as appropriate for callback. | def button_release_event(self, widget, event):
x, y = event.x, event.y
# x, y = coordinates where the button was released
self.last_win_x, self.last_win_y = x, y
button = 0
# prepare button mask as in button_press_event()
data_x, data_y = self.check_cursor_location()
return self.make_ui_callback('button-release', button, data_x, data_y) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def mouse_release_event(self, x: int, y: int, button: int):\n pass",
"def on_mouse_release(self, x, y, button):\n pass",
"def on_mouse_release(self, x, y, button, key_modifiers):\r\n pass",
"def OnMouseUp(self, evt):\n self.ReleaseMouse()",
"def emitReleaseEvent(self, clickLocat... | [
"0.80996853",
"0.80075884",
"0.7933358",
"0.74254155",
"0.7286587",
"0.7269564",
"0.72388613",
"0.72388613",
"0.72174096",
"0.71852064",
"0.7037113",
"0.7027572",
"0.7019888",
"0.69756335",
"0.6968941",
"0.6932969",
"0.69013923",
"0.68389016",
"0.6834489",
"0.68217915",
"0.68... | 0.7786435 | 3 |
Called when a mouse cursor is moving in the widget. Adjust method signature as appropriate for callback. | def motion_notify_event(self, widget, event):
x, y = event.x, event.y
# x, y = coordinates of cursor
self.last_win_x, self.last_win_y = x, y
button = 0
# prepare button mask as in button_press_event()
data_x, data_y = self.check_cursor_location()
return self.make_ui_callback('motion', button, data_x, data_y) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def mouse_move_callback(self, event):\n # TODO drag and drop figuriek\n print(\"moving at \", event.x + self.offset_x, event.y + self.offset_y)",
"def on_mouse_motion(self, x, y, delta_x, delta_y):\r\n pass",
"def __mouseMoved(self, x, y):\n # Are we on the bounding box?\n if... | [
"0.7342505",
"0.7273285",
"0.7090941",
"0.70634186",
"0.7034477",
"0.69676363",
"0.6943248",
"0.68984425",
"0.669294",
"0.659831",
"0.65874934",
"0.6549803",
"0.6516948",
"0.6500888",
"0.6497365",
"0.6471458",
"0.6461945",
"0.64583486",
"0.6448528",
"0.6439387",
"0.63827825",... | 0.64577484 | 18 |
Called when a mouse is turned in the widget (and maybe for finger scrolling in the trackpad). Adjust method signature as appropriate for callback. | def scroll_event(self, widget, event):
x, y = event.x, event.y
num_degrees = 0
direction = 0
# x, y = coordinates of mouse
self.last_win_x, self.last_win_y = x, y
# calculate number of degrees of scroll and direction of scroll
# both floats in the 0-359.999 range
# num_degrees =
# direction =
self.logger.debug("scroll deg=%f direction=%f" % (
num_degrees, direction))
data_x, data_y = self.check_cursor_location()
return self.make_ui_callback('scroll', direction, num_degrees,
data_x, data_y) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def handle_mouse_press(self, event):",
"def handle_mouse(self, x, y):\n pass",
"def on_mouse_press(self, event):\n self.on_mouse_wheel(event)",
"def on_mouse_press(self, x, y, button):\n\n pass",
"def mouseDragged():\n if mousePressed:\n mousePressed()",
"def on_mouse_motio... | [
"0.71367556",
"0.68652886",
"0.67238146",
"0.6668152",
"0.6439022",
"0.6427705",
"0.64046293",
"0.6377476",
"0.6342399",
"0.61890846",
"0.6186807",
"0.608219",
"0.6079052",
"0.60771847",
"0.60688984",
"0.60027486",
"0.59981054",
"0.5972442",
"0.59615374",
"0.59591645",
"0.595... | 0.0 | -1 |
Called when a drop (drag/drop) event happens in the widget. Adjust method signature as appropriate for callback. | def drop_event(self, widget, event):
# make a call back with a list of URLs that were dropped
#self.logger.debug("dropped filename(s): %s" % (str(paths)))
#self.make_ui_callback('drag-drop', paths)
raise NotImplementedError | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def dropEvent(self, de):\n # dragging a track\n if hasattr(Globals.dragObject, \"trackFrame\"):\n de.accept()\n trackFrame = Globals.dragObject.trackFrame\n oldParent = trackFrame.parentWidget()\n if oldParent:\n args = (trackFrame, self, old... | [
"0.72224736",
"0.7178574",
"0.7033632",
"0.69308865",
"0.69137365",
"0.68517953",
"0.66538286",
"0.660371",
"0.6481881",
"0.6399347",
"0.6314507",
"0.63019335",
"0.6220606",
"0.6072313",
"0.60482043",
"0.6036351",
"0.59223694",
"0.59200025",
"0.58687717",
"0.58277893",
"0.573... | 0.81672764 | 0 |
Update every cell in the grid. This is a single step in the evolution. Compute number in each state and number of state changes. | def update_grid(self, x):
# Append boundary rows and columns to matrix
x = self.append_boundary(x) # the boundary is recomputed at each step
y = np.copy(x)
# For each cell within boundary, compute state according to rules.
chg_0_1 = 0 # the number of cells that changed from state 0 to state 1
chg_1_0 = 0 # the number of cells that changes from state 1 to state 0
chg_none = 0 # the number of cells that did not change
index = np.arange(1, x.shape[0] - 1)
for i in index:
for j in index:
neighborhood = x[i - 1:i + 2:1, j - 1:j + 2:1] # 3x3 sub matrix centered at i, j
y[i, j] = self.update_cell(neighborhood)
change = int(y[i, j] - x[i, j])
if change == -1:
chg_1_0 += 1
if change == 0:
chg_none += 1
if change == 1:
chg_0_1 += 1
# Compute statistics excluding boundary
total = np.power(x[1:-1:1, 1:-1:1].shape[0] - 1, 2)
start_1 = np.sum(x[1:-1:1, 1:-1:1])
end_1 = np.sum(y[1:-1:1, 1:-1:1])
stats = [total, start_1, end_1, chg_1_0, chg_none, chg_0_1]
return y[1:-1:1, 1:-1:1], stats # remove the boundary
| {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _update_cells(self):\n for row_number in range(self.number_cells_y):\n for col_number in range(self.number_cells_x):\n if self.to_be_updated[row_number][col_number]:\n self.cells[row_number][col_number].update()",
"def update_cells(self, state):\n wi... | [
"0.7286067",
"0.70985454",
"0.65855974",
"0.64528495",
"0.6422918",
"0.62100416",
"0.62099385",
"0.61870646",
"0.6159121",
"0.6139433",
"0.6139193",
"0.60986966",
"0.6086777",
"0.60648525",
"0.6041667",
"0.6039886",
"0.6037677",
"0.60304636",
"0.60248035",
"0.6021954",
"0.600... | 0.65298665 | 3 |
Compute the final grid at given number of steps | def grid_frame(self, steps, figure_size=(12, 12)):
x = self.seed
counts = []
for n in np.arange(0, steps):
x, stats = self.update_grid(x)
counts.append(stats)
counts = np.array(counts)
fig, ax = plt.subplots(figsize=figure_size)
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)
color_map = matplotlib.colors.ListedColormap(['white', 'black'])
img = plt.imshow(x, interpolation='nearest', cmap=color_map)
img.axes.grid(False)
plt.title(self.title + ' | Step ' + str(steps))
plt.show()
return x, counts | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def grid_traveller(m: int, n: int):\n\n if m == 1 and n == 1:\n return 1\n if m == 0 or n == 0:\n return 0\n return grid_traveller(m - 1, n) + grid_traveller(m, n - 1)",
"def recursion_loop(pulls, discount, grid_n):\n\n r_grid = np.linspace(0, 1, grid_n)\n gittins, values = initial_a... | [
"0.62839276",
"0.6177618",
"0.6006914",
"0.5955859",
"0.5950042",
"0.5941752",
"0.58852285",
"0.58458596",
"0.5777134",
"0.57740855",
"0.5760194",
"0.57317764",
"0.572567",
"0.5684606",
"0.5644186",
"0.5635062",
"0.563393",
"0.5599859",
"0.5587036",
"0.55789906",
"0.55467486"... | 0.61110514 | 2 |
Display a step by step animation of the cellular automata rule. | def grid_animation(self, steps, figure_size=(12, 12), speed=100):
steps -= 1
x = self.seed
fig, ax = plt.subplots(figsize=figure_size)
ax.grid(False)
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)
color_map = matplotlib.colors.ListedColormap(['white', 'black'])
im = plt.imshow(x[1:-1:1, 1:-1:1], interpolation='nearest', cmap=color_map, animated=True)
counter = 0
def update_figure(*args):
nonlocal x, counter, fig
counter += 1
x, stats = self.update_grid(x)
plt.title(self.title + ' | Step ' + str(counter), fontsize=14)
im.set_array(x[1:-1:1, 1:-1:1])
return im, # why is this comma necessary?
ani = animation.FuncAnimation(fig, update_figure, frames=steps,
interval=speed, blit=False, repeat=False)
return ani | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def animate(self):\n if self.board.automaton.get() == \"life\":\n self.state = self.life.game_of_life(self.state)\n #self.life.random_activations(self.state)\n elif self.board.automaton.get() == \"seeds\":\n self.state = self.life.seeds(self.state)\n else:\n ... | [
"0.62367564",
"0.6091286",
"0.6087436",
"0.6078769",
"0.6029971",
"0.60093224",
"0.59166366",
"0.59036875",
"0.581892",
"0.5817786",
"0.5748448",
"0.5748111",
"0.5671084",
"0.5665676",
"0.5663996",
"0.5663854",
"0.563546",
"0.5605197",
"0.5595019",
"0.55923826",
"0.55907106",... | 0.603831 | 4 |
For Jupyter Notebook Display Only? | def grid_animation_quick(self, frames, iterations=10, fps=0.02, figsize=(6, 6)):
color_map = matplotlib.colors.ListedColormap(['white', 'black'])
fig, ax = plt.subplots(figsize=figsize)
for r in np.arange(0, iterations):
ax.cla()
ax.axes.grid(False)
ax.set_axis_off()
im = ax.imshow(frames[0], cmap=color_map, animated=True)
for image, step in zip(frames[1:], np.arange(1, len(frames[1:])+1)):
time.sleep(fps)
ax.title.set_text('Rule 942 | Step ' + str(step) + ' | Active ' + str(int(np.sum(image))))
im.set_data(image)
fig.canvas.draw() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def jupyter():",
"def notebook():\n pass",
"def notebook():\n pass",
"def _ipython_display_(self):\n with self._sc:\n self._box._ipython_display_()",
"def in_notebook():\n from IPython import get_ipython\n return get_ipython() is not None",
"def output_notebook(self):\n ... | [
"0.8027189",
"0.7526061",
"0.7526061",
"0.7300398",
"0.71970946",
"0.6907858",
"0.68669766",
"0.6833837",
"0.67673033",
"0.6737627",
"0.67263234",
"0.66920686",
"0.6689149",
"0.66816413",
"0.6628358",
"0.65491647",
"0.65302175",
"0.6369754",
"0.6367418",
"0.6348409",
"0.63246... | 0.0 | -1 |
Main function to get data into Splunk. | def collect_events(helper, ew): # pylint: disable=no-self-argument,invalid-name,too-many-statements,too-many-branches
def clear_checkbox(session_key, stanza):
""" Sets the 'reindex_data' value in the REST API to 0 to clear it. Splunk then automatically restarts the input."""
url = f'https://localhost:8089/servicesNS/nobody/TA-strava-for-splunk/data/inputs/strava_api/{stanza}'
headers = {'Authorization': f'Splunk {session_key}'}
payload = 'reindex_data=0'
helper.send_http_request(url, "POST", headers=headers, payload=payload, verify=False, use_proxy=False)
def get_activities(ts_activity, access_token):
"""Gets all activities, 30 per page as per Strava's default."""
params = {'after': ts_activity, 'access_token': access_token}
url = "https://www.strava.com/api/v3/activities"
response = return_json(url, "GET", parameters=params)
return response
def get_activity(activity, token):
"""Gets specific activity."""
url = f'https://www.strava.com/api/v3/activities/{activity}?include_all_efforts=true'
params = {'access_token': token}
response = return_json(url, "GET", parameters=params, timeout=10)
return response
def get_activity_stream(token, activity, types, series_type='time', resolution='high'):
"""Gets the activity stream for given activity id."""
types = ','.join(types)
params = {'access_token': token}
url = f'https://www.strava.com/api/v3/activities/{activity}/streams/{types}&series_type={series_type}&resolution={resolution}&key_by_type='
response = return_json(url, "GET", parameters=params, timeout=10)
return response
def get_athlete(token):
"""Gets details on currently logged in athlete."""
url = "https://www.strava.com/api/v3/athlete"
params = {'access_token': token}
response = return_json(url, "GET", parameters=params, timeout=10)
return response
def get_epoch(timestamp):
"""Converts Strava datetime to epoch timestamp"""
timestamp_dt = datetime.datetime.strptime(timestamp, "%Y-%m-%dT%H:%M:%SZ")
epoch = calendar.timegm(timestamp_dt.timetuple())
return epoch
def get_token(client_id, client_secret, token, renewal):
"""Get or refresh access token from Strava API."""
url = "https://www.strava.com/api/v3/oauth/token"
if renewal:
payload = {
'client_id': client_id,
'client_secret': client_secret,
'refresh_token': token,
'grant_type': 'refresh_token'}
message = "Successfully refreshed Strava token."
else:
payload = {
'client_id': client_id,
'client_secret': client_secret,
'code': token,
'grant_type': 'authorization_code'}
message = "Successfully authenticated with Strava using access code."
response = return_json(url, "POST", payload=payload)
helper.log_info(message)
return response
def kvstore_save_athlete(session_key, athlete_id, firstname, lastname, weight, ftp): # pylint: disable=too-many-arguments
"""Stores athlete's id, first name, last name, weight and ftp into strava_athlete KV Store collection."""
url = 'https://localhost:8089/servicesNS/nobody/TA-strava-for-splunk/storage/collections/data/strava_athlete/batch_save'
headers = {'Content-Type': 'application/json', 'Authorization': f'Splunk {session_key}'}
payload = [{"_key": athlete_id, "id": athlete_id, "firstname": firstname, "lastname": lastname, "fullname": firstname + " " + lastname, "weight": weight, "ftp": ftp}]
helper.send_http_request(url, "POST", headers=headers, payload=payload, verify=False, use_proxy=False)
def parse_data(data, activity_id, activity_start_date):
"""Gets raw JSON data, parses it into events and writes those to Splunk."""
data_dict = {}
final_dict = {}
for i in data:
data_dict[i['type']] = i['data']
counter = 1
nrange = len(data_dict['time'])
for item in range(1, nrange + 1):
final_dict[item] = {}
for key, value in data_dict.items():
counter = 1
for i in value:
final_dict[counter][key] = i
final_dict[counter]['activity_id'] = activity_id
if 'time' in key:
final_dict[counter]['time'] = final_dict[counter]['time'] + activity_start_date
final_dict[counter]['time'] = time.strftime('%Y-%m-%dT%H:%M:%SZ', time.gmtime(final_dict[counter]['time']))
if 'latlng' in key:
final_dict[counter]['lat'] = final_dict[counter]['latlng'][0]
final_dict[counter]['lon'] = final_dict[counter]['latlng'][1]
final_dict[counter].pop('latlng')
counter += 1
result_list = [value for key, value in final_dict.items()]
for event in result_list:
write_to_splunk(index=helper.get_output_index(), sourcetype='strava:activities:stream', data=json.dumps(event))
helper.log_info(f'Added activity stream {activity_id} for {athlete_id}.')
return True
def return_json(url, method, **kwargs):
"""Gets JSON from URL and parses it for potential error messages."""
response = helper.send_http_request(url, method, use_proxy=False, **kwargs)
try:
response.raise_for_status()
except requests.HTTPError as ex:
# status code 429 means we hit Strava's API limit, wait till next 15 minute mark (+5 seconds) and try again
if ex.response.status_code == 429:
# Get the 15m/24h API limits for this user
api_usage_15m = response.headers['X-RateLimit-Usage'].split(",")[0]
api_usage_24h = response.headers['X-RateLimit-Usage'].split(",")[1]
api_limit_15m = response.headers['X-RateLimit-Limit'].split(",")[0]
api_limit_24h = response.headers['X-RateLimit-Limit'].split(",")[1]
timestamp_now = int(time.time())
modulus_time = timestamp_now % 900
sleepy_time = 0 if modulus_time == 0 else (900 - modulus_time + 5)
helper.log_warning(f'Strava API rate limit hit. Used {api_usage_15m}/15min (limit {api_limit_15m}), {api_usage_24h}/24h (limit {api_limit_24h}). Sleeping for {sleepy_time} seconds.')
time.sleep(sleepy_time)
response = return_json(url, method, **kwargs)
helper.log_debug(f'429 detail: {response}')
return response
if ex.response.status_code in (400, 401):
helper.log_error(f'{ex.response.status_code} Error: Strava API credentials invalid or session expired. Make sure Client ID & Client Secret have been added to the Configuration -> Add-On Parameters tab and your access code is valid.')
sys.exit(1)
if ex.response.status_code == 404:
helper.log_warning(f'404 Error: no stream data for url {url}, can happen for manually added activities.')
return False
if ex.response.status_code == 500:
helper.log_warning(f'500 Error: no data received from Strava API for url {url}, it might be corrupt or invalid. Skipping activity.')
return False
# In case there's any other error than the ones described above, log the error and exit.
helper.log_error(f'Error: {ex}')
sys.exit(1)
# Must have been a 200 status code
return response.json()
def set_athlete(response):
"""Creates dict with athlete details, including token expiry."""
name = response['athlete']['firstname'] + " " + response['athlete']['lastname']
athlete = {
'id': response['athlete']['id'],
'name': name,
'access_token': response['access_token'],
'refresh_token': response['refresh_token'],
'expires_at': response['expires_at'],
'ts_activity': 0}
return athlete
def write_to_splunk(**kwargs):
"""Writes activity to Splunk index."""
event = helper.new_event(**kwargs)
ew.write_event(event)
# get configuration arguments
client_id = helper.get_global_setting('client_id')
client_secret = helper.get_global_setting('client_secret')
access_code = helper.get_arg('access_code')
start_time = helper.get_arg('start_time') or 0
types = ['time', 'distance', 'latlng', 'altitude', 'velocity_smooth', 'heartrate', 'cadence', 'watts', 'temp', 'moving', 'grade_smooth']
# stanza is the name of the input. This is a unique name and will be used as a checkpoint key to save/retrieve details about an athlete
stanza = list(helper.get_input_stanza())[0]
athlete = helper.get_check_point(stanza)
helper.log_debug(f'Athlete: {athlete}')
# if reindex_data checkbox is set, update the start_time to be the one specified and clear the checkbox.
if helper.get_arg('reindex_data'):
if int(helper.get_arg('reindex_data')) == 1:
athlete.update({'ts_activity': start_time})
helper.save_check_point(stanza, athlete)
# the clear_checkbox function will restart this input as soon as the change is made, so no further code required.
clear_checkbox(helper.context_meta['session_key'], stanza)
# if athlete is set, get details & tokens - otherwise fetch tokens with get_token()
if athlete:
athlete_id = athlete['id']
athlete_name = athlete['name']
expires_at = athlete['expires_at']
refresh_token = athlete['refresh_token']
else:
expires_at = False
refresh_token = False
# Check if expires_at token is set and renew token if token expired. Otherwise fetch token with initial access code.
if expires_at:
if time.time() >= expires_at:
response = get_token(client_id, client_secret, refresh_token, renewal=True)
helper.log_debug(f"Access token: {response['access_token']}, refresh token: {response['refresh_token']}")
athlete.update({'access_token': response['access_token'], 'refresh_token': response['refresh_token'], 'expires_at': response['expires_at']})
else:
response = get_token(client_id, client_secret, access_code, renewal=False)
athlete = set_athlete(response)
athlete_id = athlete['id']
athlete_name = athlete['name']
helper.save_check_point(stanza, athlete)
access_token = athlete['access_token']
athlete_detail = get_athlete(access_token)
athlete_firstname = athlete_detail['firstname']
athlete_lastname = athlete_detail['lastname']
athlete_weight = ''
athlete_ftp = ''
if athlete_detail['resource_state'] == 3:
athlete_weight = athlete_detail['weight']
athlete_ftp = athlete_detail['ftp']
helper.log_debug("Saving athlete's details to KV Store.")
kvstore_save_athlete(helper.context_meta['session_key'], str(athlete_id), athlete_firstname, athlete_lastname, str(athlete_weight), str(athlete_ftp))
# For backwards compatibility with upgrades from pre-2.5.0, which uses athlete['ts_newest_activity']. If there, clean them up.
if 'ts_newest_activity' in athlete:
helper.log_info(f"Found existing timestamp {athlete['ts_newest_activity']}! Will remove it now.")
ts_activity = athlete['ts_newest_activity']
athlete.update({'ts_activity': ts_activity})
athlete.pop('ts_newest_activity')
athlete.pop('get_old_activities')
athlete.pop('ts_oldest_activity')
helper.save_check_point(stanza, athlete)
else:
ts_activity = athlete['ts_activity'] or start_time
# webhook_updates contains updated activities that came in via webhook.
webhook_updates = helper.get_check_point('webhook_updates') or {}
if str(athlete_id) in webhook_updates:
for activity in webhook_updates[str(athlete_id)][:]:
helper.log_info(f'Received update via webhook for activity {activity} from athlete {athlete_id}')
response = get_activity(activity, access_token)
ts_activity = get_epoch(response['start_date'])
# Store the event in Splunk
write_to_splunk(index=helper.get_output_index(), sourcetype=helper.get_sourcetype(), data=json.dumps(response))
# Get stream data for this activity and write to Splunk
stream_data = get_activity_stream(access_token, activity, types)
if stream_data:
parse_data(stream_data, activity, ts_activity)
# Remove from dict and save dict
webhook_updates[str(athlete_id)].remove(activity)
helper.save_check_point('webhook_updates', webhook_updates)
helper.log_info(f'Got all webhook events for athlete {athlete_id}')
helper.log_info(f'Checking if there are new activities for {athlete_name} ({athlete_id})')
while True:
response_activities = get_activities(ts_activity, access_token)
# if all activities retrieved, set get_old_activities, save checkpoint and end loop to finish
if len(response_activities) == 0: # pylint: disable=no-else-break
helper.log_info(f'All done, got all activities for {athlete_name} ({athlete_id})')
break
else:
# Get more details from each activity
for event in response_activities:
activity_id = event['id']
response = get_activity(activity_id, access_token)
# response = False for a 500 Error, which is likely an invalid Strava API file. In that case skip the activity and continue.
if response:
data = json.dumps(response)
# Get start_date (UTC) and convert to UTC timestamp
ts_activity = get_epoch(event['start_date'])
# Store the event in Splunk
write_to_splunk(index=helper.get_output_index(), sourcetype=helper.get_sourcetype(), data=data)
helper.log_info(f'Added activity {activity_id} for {athlete_id}.')
# Get stream data for this activity
stream_data = get_activity_stream(access_token, activity_id, types)
if stream_data:
parse_data(stream_data, activity_id, ts_activity)
# Save the timestamp of the last event to a checkpoint
athlete.update({'ts_activity': ts_activity})
helper.save_check_point(stanza, athlete) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def main():\n print(dumps(get_data()))\n return 0",
"def main():\n print get_latest_data()",
"def get_data():\n pass",
"def get_data():\n pass",
"def get_data():\n pass",
"def get_data():\n pass",
"def get_data():\n return",
"def main():\n logger = logging.getLogger(__n... | [
"0.6757108",
"0.63172305",
"0.6213477",
"0.6213477",
"0.6213477",
"0.6165671",
"0.5924254",
"0.5922558",
"0.57879984",
"0.57552046",
"0.57526654",
"0.5694825",
"0.5639846",
"0.563431",
"0.55584145",
"0.5550838",
"0.55116856",
"0.55113345",
"0.55080515",
"0.54997003",
"0.54927... | 0.0 | -1 |
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