0:\n wild_instructions = 'Use the keyboard to designate your prepared wild cards \\r\\n '\n wild_instructions = wild_instructions + '(use 0 for 10 and J, Q, or K for facecards).'\n self.controller.note = wild_instructions\n pos = pygame.mouse.get_pos()\n\n if self.event.type == pygame.MOUSEBUTTONDOWN:\n self.RuleSetsButtons.ClickedButton(self, pos)\n for element in self.hand_info:\n # cannot select prepared cards, so not included in logic below.\n if element.img_clickable.isOver(pos):\n if element.status == 1:\n element.status = 0\n element.img_clickable.changeOutline(0)\n elif element.status == 0:\n element.status = 1\n element.img_clickable.changeOutline(2)\n\n elif self.event.type == pygame.MOUSEMOTION:\n self.RuleSetsButtons.MouseHiLight(self, pos)\n HandManagement.MouseHiLight(self.hand_info, pos)\n elif self.event.type == pygame.KEYDOWN:\n if self.controller._state.rules.Buy_Option:\n if self.controller.buying_opportunity:\n if self.event.key == pygame.K_y:\n self.controller.wantTopCard(True)\n self.controller.note = 'You have signaled you want to buy the card.'\n elif self.event.key == pygame.K_n:\n self.controller.wantTopCard(False)\n self.controller.note = 'You have signaled you do not want to buy the card.'\n if not self.controller._state.rules.Shared_Board and self.num_wilds > 0:\n HandManagement.ManuallyAssign(self)"},"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 nextEventWildsOnBoard(self):\n\n if self.controller._state.rules.Shared_Board and self.num_wilds > 0:\n for self.event in pygame.event.get():\n if self.event.type == pygame.QUIT:\n # The window crashed, we should handle this\n print(\"pygame crash, AAAHHH\")\n pygame.quit()\n quit()\n else:\n # in Shared_Board games, check if there are wilds that need to be updated.\n # All other events are ignored until play is finished.\n HandManagement.wildsHiLoGetInput(self)","def perform_keyboard_actions(self):\n self.handle_keyboard_input()\n self.grid.next_frame()","def next_cmd(self):\n if not self.validate():\n self.initial_focus.focus_set()\n return\n self.player_ships[self.values[0]] = self.values[1]\n self.num_players += 1\n self.e1.delete(0, END)\n self.buttonbox()\n self.e1.focus_set()\n self.e2.reset()","def next(self):\n \n jump = 0\n \n for event in pudding.process_event():\n if event[0] == sdlconst.KEYDOWN:\n if (event[1] == sdlconst.K_q) or (event[1] == sdlconst.K_ESCAPE):\n tofu.GAME_INTERFACE.end_game() # Quit the game\n \n elif event[1] == sdlconst.K_m:\n print \"trying to change single to multiplayer mode\"\n tofu.GAME_INTERFACE.end_game('client')\n \n elif event[1] == sdlconst.K_LSHIFT:\n # Shift key is for jumping\n # Contrary to other action, jump is only performed once, at the beginning of\n # the jump.\n jump = 1\n \n elif event[1] == sdlconst.K_LEFT: self.left_key_down = 1\n elif event[1] == sdlconst.K_RIGHT: self.right_key_down = 1\n elif event[1] == sdlconst.K_UP: self.up_key_down = 1\n elif event[1] == sdlconst.K_DOWN: self.down_key_down = 1\n \n elif event[0] == sdlconst.KEYUP:\n if event[1] == sdlconst.K_LEFT: self.left_key_down = 0\n elif event[1] == sdlconst.K_RIGHT: self.right_key_down = 0\n elif event[1] == sdlconst.K_UP: self.up_key_down = 0\n elif event[1] == sdlconst.K_DOWN: self.down_key_down = 0\n \n if jump: return Action(ACTION_JUMP)\n \n # People saying that Python doesn't have switch/select case are wrong...\n # Remember this if you are coding a fighting game !\n return Action({\n (0, 0, 1, 0) : ACTION_ADVANCE,\n (1, 0, 1, 0) : ACTION_ADVANCE_LEFT,\n (0, 1, 1, 0) : ACTION_ADVANCE_RIGHT,\n (1, 0, 0, 0) : ACTION_TURN_LEFT,\n (0, 1, 0, 0) : ACTION_TURN_RIGHT,\n (0, 0, 0, 1) : ACTION_GO_BACK,\n (1, 0, 0, 1) : ACTION_GO_BACK_LEFT,\n (0, 1, 0, 1) : ACTION_GO_BACK_RIGHT,\n }.get((self.left_key_down, self.right_key_down, self.up_key_down, self.down_key_down), ACTION_WAIT))","def play_keyboard_input_game(self):\n self.reset()\n while(not self._exit):\n pg.event.pump()\n self.clock.tick(self.actions_per_second)\n self.check_for_exit()\n self.perform_keyboard_actions()\n self.check_for_end_game()\n self.render()\n self.debug_to_console()\n\n self.cleanup()","def computer_play(self):\r\n # Depending on game flow, helped randomize when smack showed up\r\n # This is more of an Easter Egg than anything.\r\n if (self.tr.disks_on_board != 0 and (self.tr.disks_on_board % 6 == 0 or\r\n self.tr.disks_on_board % 6 == 3) and self.tr.turn_tracker):\r\n self.ai.talk_smack()\r\n # Computer identifies possible moves to analyze\r\n for item in self.tr.computer_moves:\r\n self.ai.coordinate_extractor(item)\r\n # Computer chooses move\r\n choice = self.ai.choose_move()\r\n # Makes play\r\n choice = self.tr.bd.disks[choice[0]][choice[1]]\r\n self.ai.moves_reset()\r\n choice.color, choice.display_on = 1, True\r\n choice.chain()\r\n # Checks for player move, if none, checks for another move\r\n self.tr.board_scan_reset()\r\n if not self.tr.board_scan():\r\n return\r\n else:\r\n self.tr.board_scan_reset()\r\n if self.tr.board_scan():\r\n self.delay = frameCount\r\n return\r\n # If none, ends game\r\n else:\r\n if not self.tr.game_over:\r\n self.tr.board_scan_reset()\r\n self.tr.scanner()\r\n self.tr.game_over = True\r\n self.tr.run_game_is_over = frameCount","def _play(self, func):\n\n func()\n print('\\nhuman movement:\\n')\n print(self._board)\n\n while self._board.possible() != []:\n self._board.move_computer()\n print('\\ncomputer movement:\\n')\n print(self._board)\n if self._board.check_win():\n print('\\nwinner is computer')\n return\n\n func()\n print('\\nhuman movement:\\n')\n print(self._board)\n if self._board.check_win():\n print('\\nwinner is human')\n return\n print('\\nwinner is friendship :)')","def play_human_move(self):\n success, info = self.gms.play_human_move(raw_input('Make your next move\\n'.format('')))\n if success:\n print(self.gms.game.get_board_state_pretty())\n if info['status_code'] == core_constants.GAME_STATUS_HUMAN_MOVE_REQUIRED:\n self.play_human_move()\n elif info['status_code'] in [\n core_constants.GAME_STATUS_OVER_DRAW,\n core_constants.GAME_STATUS_OVER_HUMAN_WINNER,\n core_constants.GAME_STATUS_OVER_COMP_WINNER,\n ]:\n print(self.gms.status_code_message_map[info['status_code']])\n else:\n if info['error_code'] == core_constants.ERROR_CODE_INVALID_MOVE:\n self.play_human_move()","def inputMove(self):\n # Check if BoardData_update is still opended\n self.checkOpenStatus()\n\n self.genDataFiles(self.player.getCurrentPieceList())\n print(\"PieceRecog.exe\", len(self.player.getCurrentPieceList()))\n\n # Call the recognition function\n os.system(\"PieceRecog.exe \" + str(len(self.player.getCurrentPieceList())))\n\n # Check if BoardData_update is still opended\n self.checkOpenStatus()\n self.player.updateData('src\\\\BoardData_update.csv')\n self.player.getChessPieceList('src\\\\BoardData_update.csv')\n self.pieceList = self.player.getCurrentPieceList()\n # Update the simulation board\n self.playGUI.drawBoard(self.player)\n\n check = self.setNextMove_AB()\n\n if check == 0:\n return True\n\n else:\n pd.DataFrame(self.player.getCurrentPieceList()).to_csv('src\\\\BoardData_update.csv', index=False)\n print(\"Piecelist after Alpha beta: \", self.pieceList)\n return check","def run_game(self, board):\n run_program = True\n\n while run_program:\n # eventlistener for mouse events\n for event in pygame.event.get():\n if pygame.mouse.get_pressed() and event.type == pygame.MOUSEBUTTONDOWN:\n if event.type == pygame.MOUSEBUTTONDOWN:\n # Get position of mouse.\n (x, y) = pygame.mouse.get_pos()\n\n # Set circle position in the middle of the grid_square.\n draw_x = x - (x % self.square_size) + self.square_mid\n\n # Calculation to get xPosition from selected Mouse xPosition.\n x = x // 80\n\n # Check if column is full before placing. Break out if that's the case.\n if self.check_if_column_full(board, x):\n break\n\n # Calculate the yPosition, where the chip should be placed with various helper methods.\n draw_y = self.height - (self.square_size * self.draw_dict_mapping[self.get_y_pos(board, x)]) + 40\n\n # Check, which players turn it is.\n if self.playerOne:\n # Player Ones turn.\n pos = (x, self.get_y_pos(board, x))\n if board[pos] == 0:\n board[pos] = 1\n self.draw_circle(draw_x, draw_y, self.playerOne)\n self.screen.blit(self.background, (0, 0))\n if self.check_if_user_won(board, pos, 1):\n run_program = False\n self.switch_player()\n else:\n # Player Twos turn.\n pos = (x, self.get_y_pos(board, x))\n if board[pos] == 0:\n board[pos] = 2\n self.draw_circle(draw_x, draw_y, self.playerOne)\n self.screen.blit(self.background, (0, 0))\n if self.check_if_user_won(board, pos, 2):\n run_program = False\n self.switch_player()\n\n if event.type == pygame.KEYDOWN:\n # End the game with escape.\n if event.key == pygame.K_ESCAPE:\n self.draw = True\n run_program = False\n\n # End the Program with the X in the upper right corner.\n elif event.type == pygame.QUIT:\n self.draw = True\n run_program = False\n\n pygame.display.flip()\n self.game_over(self.playerOne, self.draw)\n # wait for given time and end the game\n pygame.time.wait(5000)\n pygame.quit()","def handle_keyboard_input(self):\n keys = pg.key.get_pressed()\n\n if (keys[K_UP]):\n self.grid.change_direction(Direction.up)\n if (keys[K_DOWN]):\n self.grid.change_direction(Direction.down)\n if (keys[K_LEFT]):\n self.grid.change_direction(Direction.left)\n if (keys[K_RIGHT]):\n self.grid.change_direction(Direction.right)\n if (keys[K_SPACE]):\n self.grid.snake.grow()\n if (keys[K_RIGHTBRACKET]):\n self.actions_per_second += 1\n if (keys[K_LEFTBRACKET]):\n self.actions_per_second -= 1\n if (keys[K_t]):\n self.is_training = True\n print(\"========================================================================\")\n print(\"Training: ON\")\n print(\"========================================================================\")\n if (keys[K_s]):\n self.is_training = False\n print(\"========================================================================\")\n print(\"Training: OFF\")\n print(\"========================================================================\")","def main():\n board = [\n [' ', ' ', ' '],\n [' ', ' ', ' '],\n [' ', ' ', ' ']\n ]\n counter = 0\n\n while not check_victory(board):\n # This is called the game loop. It keeps the game running until it is finished.\n # On every iteration of the loop we check to see if a player has won.\n\n # Show the board to the player.\n show_board(board)\n\n # Take input to add a new token.\n board = take_input(board, OPTIONS[counter % 2])\n\n counter += 1","def main():\n board_state = [['_', '_', '_'],\n ['_', '_', '_'],\n ['_', '_', '_']]\n\n player_turn = int(input(\"Who goes first - select AI(0) or Human(1)? \").strip())\n human_marker = input(\"Select marker - 'X' or 'O'? \").strip()\n \n play(board_state, player_turn, human_marker, 0)","def next_play(self):\n\t\tfor card in self.hand:\n\t\t\tif is_valid(card):\n\t\t\t\tself.play_card(card)\n\t\t\t\treturn card\n\t\tglobal forced_rank\n\t\tif forced_rank == \"2\":\n\t\t\tglobal two_multiplier\n\t\t\tself.draw(two_multiplier)\n\t\t\tprint(f\"{self.name} draws {str(two_multiplier)} cards.\")\n\t\t\ttwo_multiplier = 0\n\t\t\tforced_rank = False\n\t\t\treturn None\n\t\tcard = self.draw(1)[0]\n\t\tprint(self.name + \" draws a card.\")\n\t\tif is_valid(card):\n\t\t\tself.play_card(card)\n\t\t\treturn card\n\t\tprint(self.name + \" passes the turn.\")","def action_key_press(key, cur_key_type, cur_key, draw, phys, msg, timer, board, force):\n\n\n # delete any old mouse joints prior to dealing with the next keypress\n if key != \"m\" and msg.message != \"Mouse Move\" and cur_key_type == 0:\n for jn in phys.world.joints:\n if type(jn) is b2MouseJoint:\n phys.world.DestroyJoint(jn)\n\n if not key is None and key != \"\":\n if platform == \"linux\" or platform == \"linux2\":\n window = get_active_window_title()\n elif platform == \"win32\":\n window = gw.getActiveWindow().title\n\n if not \"Board\" in window and not \"Toolbar\" in window:\n pass\n else:\n if key == 255:\n pass\n\n elif key == \"r\" and cur_key_type == 0:\n # RESET SCREEN\n if sg.popup_yes_no(\"Are you sure you want to reset?\") == \"Yes\":\n draw.reset()\n msg = Messenger(phys.options[\"screen\"][\"fps\"], board)\n msg.set_message(\"Reset\")\n board.reset = True\n\n elif key == \"q\" and cur_key_type == 0:\n # QUIT\n msg.set_message(\"Quit\")\n val = sg.popup_yes_no(\"Are you sure you want to quit?\")\n if val == \"Yes\":\n board.run = False\n\n\n elif key == \"z\" and cur_key_type == 0:\n # SPAWN\n msg.set_message(\"Spawn\")\n phys.create_block()\n\n elif key == \"u\" and cur_key_type == 0:\n # draw delete blocks\n draw.reset()\n options = {\"Remove Joints\": SelectType.select}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"x\" and cur_key_type == 0:\n # draw delete blocks\n draw.reset()\n options = {\"Delete\": SelectType.select}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"p\" and cur_key_type == 0:\n # draw polygon\n draw.reset()\n # msg.set = {\"Dynamic Block\": draw.get_draw_type()}\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Dynamic Block\")\n\n elif key == \"g\" and cur_key_type == 0:\n # draw ground\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Static Block\")\n # options = {\"Static Block\": draw.get_draw_type()}\n\n # cur_key = msg.auto_set(options, key, force)\n\n elif key == \"i\" and cur_key_type == 0:\n # draw terrain\n\n draw.reset()\n options = {\"Generate Terrain\": SelectType.null}\n cur_key = msg.auto_set(options, key, force)\n\n draw, phys, board = create_terrain(draw, phys, board=board)\n\n\n elif key == \"f\" and cur_key_type == 0:\n # draw fragments or select\n draw.reset()\n options = {\n \"Fragment Select\": SelectType.select} # \"Fragment Poly\": SelectType.draw, \"Frament Rectangle\": SelectType.rectangle,\n # \"Frament Select\": SelectType.select}\n cur_key = msg.auto_set(options, key, force)\n\n\n elif key == \"1\" and cur_key_type == 0:\n # fire polygon\n draw.reset()\n options = {\"Create\": SelectType.select_point, \"Fire Block\": SelectType.vector_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"4\" and cur_key_type == 0:\n # select\n # draw ground\n draw.reset()\n options = {\"Joint Update\": SelectType.select}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \";\" and cur_key_type == 0:\n # select\n # draw ground\n draw.reset()\n options = {\"Player Update\": SelectType.select}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"2\" and cur_key_type == 0:\n # Mouse Move\n draw.reset()\n options = {\"Rotate\": SelectType.player_select}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"m\" and cur_key_type == 0:\n # Mouse Move\n draw.reset()\n options = {\"Mouse Move\": SelectType.select, \"Normal Move\": SelectType.null, \"Joint Move\": SelectType.null,\n \"Clone Move\": SelectType.null}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"t\" and cur_key_type == 0:\n # Mouse Move\n draw.reset()\n options = {\"Transform\": SelectType.player_select}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"e\" and cur_key_type == 0:\n # draw ropes\n if sg.popup_yes_no(\"Are you sure you want to kill all blocks?\") == \"Yes\":\n draw.reset()\n phys.kill_all(static=False)\n msg.set_message(\"Remove Blocks\")\n cur_key = \"e\"\n\n elif key == \"v\" and cur_key_type == 0:\n # draw ropes\n draw.reset()\n msg.set_message(\"Set Spawn\")\n cur_key = \"v\"\n\n elif key == \"h\" and cur_key_type == 0:\n # draw fragment ALL players\n # cur_key = \"h\"\n msg.set_message(\"Frag All\")\n draw.reset()\n blocks = [bl for bl in phys.block_list if not bl.static is True and not bl.is_terrain is True]\n phys.fractal_block(blocks, create=False, board=board)\n\n elif key == \"k\" and cur_key_type == 0:\n # draw splitter sensor\n draw.reset()\n\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Force\")\n\n\n elif key == \"l\" and cur_key_type == 0:\n # draw splitter sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Splitter\")\n\n\n elif key == \"/\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Impulse\")\n\n\n elif key == \"'\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Goal\")\n\n elif key == \"{\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Spawner\")\n\n\n elif key == \"~\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Motor Switch\")\n\n elif key == \"&\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Water\")\n\n\n elif key == \"^\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Low Gravity\")\n\n\n elif key == \"#\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Gravity Switch\")\n\n elif key == \")\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Center\")\n\n elif key == \"%\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Sticky\")\n\n elif key == \"£\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Enlarger\")\n\n\n elif key == \"$\" and cur_key_type == 0:\n # draw booster sensor\n draw.reset()\n cur_key = key + str(draw.get_draw_type().value)\n msg.set_message(\"Shrinker\")\n\n\n elif key == \"0\" and cur_key_type == 0:\n # pause physics\n phys.force_draw_all = not phys.force_draw_all\n options = {\"Draw All\": SelectType.null, \"Draw Set\": SelectType.null}\n cur_key = msg.auto_set(options, key, force)\n\n\n\n elif key == \"o\" and cur_key_type == 0:\n # pause physics\n draw.reset()\n phys.pause = not phys.pause\n msg.set_message(\"Pause\" + (\" On\" if phys.pause is True else \" Off\"))\n cur_key = \"o\"\n\n elif key == \"*\" and cur_key_type == 0:\n # PICKLE BOARD\n name, blurb = save_gui()\n if not name is None:\n pickler(timer, phys, draw, board, msg, name, blurb)\n msg.set_message(\"State Saved\")\n cur_key = \"*\"\n draw.reset()\n\n elif key == \"-\":\n # LOAD BOARD\n\n timer, phys, draw, board, msg = load_gui(timer, phys, draw, board, msg, persistant=False)\n config = phys.config\n\n elif key == \"5\" and cur_key_type == 0:\n\n load_options()\n phys.change_config(board=board)\n\n elif key == \"6\" and cur_key_type == 0:\n\n board, phys, msg = update_background(board, phys, msg)\n\n\n elif key == \"j\" and cur_key_type == 0:\n # draw joints\n draw.reset()\n options = {\"Merge Blocks\": SelectType.select,\n \"Distance Joint\": SelectType.straight_join, \"Rope Joint\": SelectType.straight_join,\n \"Prismatic Joint\": SelectType.straight_join,\n \"Electric\": SelectType.line_join,\n \"Chain\": SelectType.line_join2,\n \"Weld Joint\": SelectType.straight_join, \"Wheel Joint\": SelectType.circle,\n \"Rotation Joint\": SelectType.rotation_select, \"Pulley\": SelectType.d_straight_join}\n\n cur_key = msg.auto_set(options, key, force)\n\n\n\n elif key == \"tab\":\n # Tab key press, this switches to move mode\n if cur_key_type == 0:\n cur_key_type = 1\n msg.set_message(\"Drawing Mode Enabled\")\n draw.reset()\n else:\n cur_key_type = 0\n msg.set_message(\"Create Mode Enabled\")\n draw.reset()\n\n\n # Drawing mode buttons\n\n elif key == \"`\" and cur_key_type == 1:\n # Mouse Move\n draw.reset()\n options = {\"Change Keys\": SelectType.select}\n cur_key = msg.auto_set(options, key, force)\n\n\n elif key == \"1\" and cur_key_type == 1:\n # Mouse Move\n draw.reset()\n options = {\"Screen Move\": SelectType.null}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"2\" and cur_key_type == 1:\n # Mouse Move\n draw.reset()\n options = {\"Center Clicked\": SelectType.null}\n cur_key = msg.auto_set(options, key, force)\n\n\n elif key == \"]\" and cur_key_type == 1:\n # draw polygon\n draw.reset()\n options = {\"Fire Bullet\": SelectType.bullet_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"[\" and cur_key_type == 1:\n # draw polygon\n draw.reset()\n options = {\"Choose Player\": SelectType.null}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"3\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n options = {\"Motor Forwards\": SelectType.vector_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"4\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n options = {\"Motor Backwards\": SelectType.vector_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"9\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n cur_key = key + str(SelectType.vector_direction.value)\n msg.set_message(\"Force\")\n\n elif key == \"0\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n options = {\"Relative Force\": SelectType.vector_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"5\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n options = {\"Rotate CCW\": SelectType.vector_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"6\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n options = {\"Rotate CW\": SelectType.vector_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"7\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n cur_key = key + str(SelectType.vector_direction.value)\n msg.set_message(\"Impulse\")\n\n\n elif key == \"8\" and cur_key_type == 1:\n # draw polygon\n\n draw.reset()\n options = {\"Relative Impulse\": SelectType.vector_direction}\n cur_key = msg.auto_set(options, key, force)\n\n elif key == \"!\" and cur_key_type == 1:\n \"\"\"\n Used to attach an relative impulse to a block\n \"\"\"\n board.translation = np.array([0, 0])\n\n # do move keypresses:\n if cur_key_type == 1:\n phys.do_keypress(key)\n\n return cur_key_type, cur_key, draw, phys, msg, timer, board","def play(self):\n for step_i in range(self.max_step):\n player_id = step_i & 1\n player = self.players[player_id]\n action = player.nxt_move()\n if isinstance(player, mcts.MCTSPlayer) and player.value_net.loggable:\n print(f'Player{player_id}: Action: {action}')\n if not self.is_valid_action(action):\n # because now just consider 2 players\n print(f\"Player: {player_id}, Action: {action} Did Not choose a valid action!\")\n self.board[action // self.w][action % self.w] = player_id\n self.winner = 1 - player_id\n else:\n self.board[action // self.w][action % self.w] = player_id\n self.winner = self.k0()\n self.players[1 - player_id].other_nxt_move(action)\n if self.winner != -1:\n break\n print(f'Winner: {self.winner}')\n for player_id in range(len(self.players)):\n self.players[player_id].game_ended()","def user_input(self):\n\n # Above, we set the timeout of getch() on entryscreen to 500ms. That means\n # that the invalid character (-1) is returned every 500 ms if the user\n # enters nothing, and our validator is called. We take this opportunity to\n # relese the curses lock so any other threads (e.g. the message handling\n # thread) have a chance to update the screen. Additionally, we call\n # update() so that any other changes are picked up. We raise _StoppedError\n # to get out of the surrounding loop in edit() so that we can exit this\n # function cleanly and without hijacking any other exceptions (such as\n # KeyboardInterrupt).\n\n class _StoppedError(Exception):\n pass\n\n def validator(ch):\n if ch == curses.KEY_RESIZE:\n self.chatscreen.clear()\n (y, x) = self.global_screen.getmaxyx()\n curses.resizeterm(y, x)\n self.chatscreen.resize(y-Chat.CHATBOX_SIZE, x)\n self.entryscreen.mvwin(y-Chat.CHATBOX_SIZE, 0)\n self.update()\n return None\n try:\n self.curses_lock.release()\n if not self.running:\n raise _StoppedError\n self.update() # has anything changed?\n if ch < 0:\n return None\n return ch\n finally:\n self.curses_lock.acquire()\n\n try:\n self.curses_lock.acquire()\n cmd = self.textpad.edit(validator)\n self.entryscreen.clear()\n except _StoppedError:\n return ''\n finally:\n self.curses_lock.release()\n\n # strip the newlines out of the middle of the words\n cmd = string.replace(cmd, '\\n', '')\n\n # remove unprintable characters\n cmd = (''.join(c if c in string.printable else '' for c in cmd)).strip()\n\n # process commands if necessary\n if cmd.startswith('/'):\n words = cmd.split()\n cmdname = words[0][1:]\n args = words[1:]\n\n if cmdname in self.commands:\n try:\n self.commands[cmdname](*args)\n except CommandError as e:\n self.message('System:', 'Problem executing command: ' + str(e))\n except TypeError as e:\n self.message('System:', str(e))\n else:\n self.message('System:', 'Unknown command: '+cmdname)\n else:\n # it's not a cmd so it must be a message to send\n self.q.put(cmd)\n self.update()","def move(self,board,n,display):\n\n\t\tmove = False\n\t\tgoodInput = False\n\t\tn = 0\n\n\t\twhile not goodInput:\n\t\t\tpygame.time.wait(10)\n\t\t\tdisplay.displayBoard()\n\t\t\tmove = display.getMove()\n\n\t\t\tif move == \"End Preset\":\n\t\t\t\treturn move\n\n\t\t\tif move and tuple(move) in board.openPoints():\n\t\t\t\tgoodInput = True\n\t\t\telif move:\n\t\t\t\tprint \"Bad input, try again!\"\n\n\t\t\tn += 1\n\n\t\treturn move","def host_game(self):\n current_side = \"X\"\n while ( (not self.win_for(\"X\"))\n and (not self.win_for(\"O\"))\n and (not self.is_full())):\n print()\n print(self)\n print()\n move = Board.INVALID_MOVE\n while not self.allows_move(move):\n move = int(input(current_side + \"'s move: \"))\n self.add_move(move, current_side)\n if current_side == \"X\":\n current_side = \"O\"\n else:\n current_side = \"X\"\n\n if self.win_for(\"X\"):\n print(\"X wins --- congratulations!\\n\")\n elif self.win_for(\"O\"):\n print(\"O wins --- congratulations!\\n\")\n else:\n print(\"Tied game!\\n\")\n\n print()\n print(self)","def human_expert(_obs):\n\n while True:\n env.render()\n print_play_keys(env.action_str)\n time.sleep(0.2)\n key_pressed = keyboard.read_key()\n # return index of action if valid key is pressed\n if key_pressed:\n if key_pressed in KEY_ACTION_DICT:\n return KEY_ACTION_DICT[key_pressed]\n elif key_pressed == \"esc\":\n print(\"You pressed esc, exiting!!\")\n break\n else:\n print(\"You pressed wrong key. Press Esc key to exit, OR:\")","def input(self, event):\n # If the window is quit.\n if event.type == pygame.QUIT:\n # Exit the game.\n return 0\n\n # If escape is hit.\n if (\n event.type == pygame.QUIT\n or event.type == pygame.KEYDOWN\n and event.key == pygame.K_ESCAPE\n ):\n # Return to the menu.\n return 1\n\n # If SPACE is hit.\n if event.type == pygame.KEYDOWN and event.key == pygame.K_SPACE:\n # If the player can move\n if self.background1.getMoving():\n # Jump sound effect.\n self.jumpSound.play()\n # Make the player jump.\n self.player.jump()\n\n # If game end.\n if self.gameEnd:\n # If the exit button is pressed.\n if self.exitButton.input(event):\n return 1\n # If the exit button is pressed.\n if self.retryButton.input(event):\n self.reset()\n\n # Continue the game.\n return 2","def main():\n \n is_white_move = True\n board = initial_state()\n print_board(board)\n \n while True:\n if is_white_move == True:\n print()\n result = str(input(\"White's move: \"))\n else:\n print()\n result = str(input(\"Black's move: \"))\n\n if result == 'h' or result == 'H':\n print(HELP_MESSAGE)\n print_board(board)\n elif result == 'q' or result == 'Q':\n confirm_quit = str(input(\"Are you sure you want to quit? \"))\n if confirm_quit == 'y' or confirm_quit == \"Y\":\n break\n else:\n print_board(board) \n\n else:\n if valid_move_format(result) == False:\n print('Invalid move')\n print()\n print_board(board)\n else:\n move = process_move(result)\n if is_move_valid(move, board, is_white_move): \n board = update_board(board, move)\n print_board(board)\n is_white_move = not is_white_move\n if check_game_over(board, is_white_move):\n break\n else:\n print('Invalid move')\n print()\n print_board(board)","def receive_play(current_player, marks, board_state):\n valid_answer = False\n while not valid_answer:\n current_play = input(\n \"{}, choose a square (1-9) to place your {}. \".format(current_player, marks[current_player]))\n valid_answer = check_inputs(filter_occupied(board_state), current_play)\n if valid_answer:\n current_play = int(current_play)\n board_state[current_play - 1] = marks[current_player]\n return board_state","def play(state, player_turn, human_marker, depth):\n alpha = -10\n beta = 10\n while True:\n draw_board(state)\n marker = is_terminal(state)\n\n if marker is not None:\n if marker == 'X':\n print(\"The winner is 'X'!\")\n elif marker == 'O':\n print(\"The winner is 'O'!\")\n else:\n print(\"The game ended in a tie!\")\n return\n\n # Presumably AI's turn.\n if player_turn == 0:\n ai_marker = 'X' if human_marker == 'O' else 'O'\n if ai_marker == 'X':\n value, move = max_value(state, ai_marker, depth, alpha, beta)[:2]\n else:\n value, move = min_value(state, ai_marker, depth, alpha, beta)[:2]\n depth = depth + 1\n state[move[0]][move[1]] = ai_marker\n player_turn = 1\n\n # Presumably human player's turn.\n else:\n move = list(map(int, input('Enter your move: ').strip('[]').split(',')))\n while not is_valid_move(state, move):\n move = list(map(int, input('Enter your move: ').strip('[]').split(',')))\n\n state[move[0]-1][move[1]-1] = human_marker\n depth = depth + 1\n player_turn = 0","def next_turn(self): \n if (self.moves):\n self.board = self.select_move() \n self.moves = []\n self.roll = self.roll_dice()\n self.player = not self.player\n self.generate_valid_moves()","def run_game():\n mainBoard = get_new_board()\n resetBoard(mainBoard)\n showHints = False\n\n turn = random.choice(['computer', 'player'])\n\n # Draw the starting board and ask the player what color they want.\n draw_board(mainBoard)\n\n playerTile, computer_tile = enter_player_tile()\n # Make the Surface and Rect objects for the \"New Game\" and \"Hints\" buttons\n\n newGameSurf = FONT.render('New Game', True, TEXTCOLOR, TEXTBGCOLOR2)\n newGameRect = newGameSurf.get_rect()\n newGameRect.topright = (WINDOWWIDTH - 8, 10)\n\n hintsSurf = FONT.render('Hints', True, TEXTCOLOR, TEXTBGCOLOR2)\n hintsRect = hintsSurf.get_rect()\n hintsRect.topright = (WINDOWWIDTH - 8, 40)\n\n while True: # main game loop\n # Keep looping for player and computer's turns.\n if turn == 'player':\n # Player's turn:\n if get_valid_moves(mainBoard, playerTile) == []:\n # If it's the player's turn but they\n # can't move, then end the game.\n break\n\n movexy = None\n\n while movexy == None:\n # Keep looping until the player clicks on a valid space.\n # Determine which board data structure to use for display.\n if showHints:\n boardToDraw = get_board_with_valid_moves(mainBoard, playerTile)\n else:\n boardToDraw = mainBoard\n\n check_for_quit()\n for event in pygame.event.get(): # event handling loop\n if event.type == MOUSEBUTTONUP:\n # Handle mouse click events\n mousex, mousey = event.pos\n if newGameRect.collide_point((mousex, mousey)):\n # Start a new game\n return True\n elif hintsRect.collide_point((mousex, mousey)):\n # Toggle hints mode\n showHints = not showHints\n # movexy is set to a two-item tuple XY coordinate, or None value\n movexy = get_space_clicked(mousex, mousey)\n\n if movexy != None and not isValidMove(mainBoard, playerTile, movexy[0], movexy[1]):\n movexy = None\n\n # Draw the game board.\n draw_board(boardToDraw)\n draw_info(boardToDraw, playerTile, computer_tile, turn)\n\n # Draw the \"New Game\" and \"Hints\" buttons.\n DISPLAYSURF.blit(newGameSurf, newGameRect)\n DISPLAYSURF.blit(hintsSurf, hintsRect)\n\n MAINCLOCK.tick(FPS)\n pygame.display.update()\n\n # Make the move and end the turn.\n make_move(mainBoard, playerTile, movexy[0], movexy[1], True)\n if get_valid_moves(mainBoard, computer_tile) != []:\n # Only set for the computer's turn if it can make a move.\n turn = 'computer'\n else:\n # Computer's turn:\n if get_valid_moves(mainBoard, computer_tile) == []:\n # If it was set to be the computer's turn but\n # they can't move, then end the game.\n break\n\n # Draw the board.\n draw_board(mainBoard)\n draw_info(mainBoard, playerTile, computer_tile, turn)\n\n # Draw the \"New Game\" and \"Hints\" buttons.\n DISPLAYSURF.blit(newGameSurf, newGameRect)\n DISPLAYSURF.blit(hintsSurf, hintsRect)\n\n # Make it look like the computer is thinking by pausing a bit.\n pauseUntil = time.time() + random.randint(5, 15) * 0.1\n\n while time.time() < pauseUntil:\n pygame.display.update()\n\n # Make the move and end the turn.\n x, y = get_computer_move(mainBoard, computer_tile)\n make_move(mainBoard, computer_tile, x, y, True)\n\n if get_valid_moves(mainBoard, playerTile) != []:\n # Only set for the player's turn if they can make a move.\n turn = 'player'\n\n # Display the final score.\n draw_board(mainBoard)\n scores = get_score_of_board(mainBoard)\n # Determine the text of the message to display.\n\n if scores[playerTile] > scores[computer_tile]:\n text = 'You beat the computer by %s points! Congratulations!' % \\\n (scores[playerTile] - scores[computer_tile])\n elif scores[playerTile] < scores[computer_tile]:\n text = 'You lost. The computer beat you by %s points.' % \\\n (scores[computer_tile] - scores[playerTile])\n else:\n text = 'The game was a tie!'\n\n textSurf = FONT.render(text, True, TEXTCOLOR, TEXTBGCOLOR1)\n textRect = textSurf.get_rect()\n textRect.center = (int(WINDOWWIDTH / 2), int(WINDOWHEIGHT / 2))\n DISPLAYSURF.blit(textSurf, textRect)\n\n # Display the \"Play again?\" text with Yes and No buttons.\n text2Surf = BIGFONT.render('Play again?', True, TEXTCOLOR, TEXTBGCOLOR1)\n text2Rect = text2Surf.get_rect()\n text2Rect.center = (int(WINDOWWIDTH / 2), int(WINDOWHEIGHT / 2) + 50)\n\n # Make \"Yes\" button.\n yesSurf = BIGFONT.render('Yes', True, TEXTCOLOR, TEXTBGCOLOR1)\n yesRect = yesSurf.get_rect()\n yesRect.center = (int(WINDOWWIDTH / 2) - 60, int(WINDOWHEIGHT / 2) + 90)\n\n # Make \"No\" button.\n noSurf = BIGFONT.render('No', True, TEXTCOLOR, TEXTBGCOLOR1)\n noRect = noSurf.get_rect()\n noRect.center = (int(WINDOWWIDTH / 2) + 60, int(WINDOWHEIGHT / 2) + 90)\n\n while True:\n # Process events until the user clicks on Yes or No.\n check_for_quit()\n\n for event in pygame.event.get(): # event handling loop\n if event.type == MOUSEBUTTONUP:\n mousex, mousey = event.pos\n\n if yesRect.collide_point((mousex, mousey)):\n return True\n\n elif noRect.collide_point((mousex, mousey)):\n return False\n\n DISPLAYSURF.blit(textSurf, textRect)\n DISPLAYSURF.blit(text2Surf, text2Rect)\n DISPLAYSURF.blit(yesSurf, yesRect)\n DISPLAYSURF.blit(noSurf, noRect)\n\n pygame.display.update()\n MAINCLOCK.tick(FPS)","def human(gstate: TicTacToe, *args):\n return input_with_validation(\"Please enter move.\", list(gstate.next_moves.keys()))","def play_game(word_list):\n hand = None\n while True:\n game_type = raw_input('Please choose from the following: n(new random hand), r(last hand) or e(exit the game):')\n if game_type == 'n':\n hand = deal_hand(HAND_SIZE)\n player_type = raw_input('Please choose from the following: u(user can play) or c(computer can play):')\n if player_type == 'u':\n play_hand(hand, word_list)\n elif player_type == 'c':\n comp_play_hand(hand, word_list)\n else: \n player_type = raw_input('Incorrect input. Please choose from the following: u(user can play) or c(computer can play):')\n elif game_type == 'r' and hand == None:\n print 'Incorrect input. Please first choose n.'\n elif game_type == 'r':\n player_type = raw_input('Please choose from the following: u(user can play) or c(computer can play):')\n if player_type == 'u':\n play_hand(hand, word_list)\n elif player_type == 'c':\n comp_play_hand(hand, word_list)\n else: \n player_type = raw_input('Incorrect input. Please choose from the following: u(user can play) or c(computer can play):') \n elif game_type == 'e':\n print \"Exited the game.\"\n break\n else: \n print 'Incorrect input.'","def advance(self, board):","def play_turn(self, player):\n input('Play turn...')\n print(f'{player.name} to play...\\n')\n \n if isinstance(player, ComputerPlayer):\n print('Thinking...')\n time.sleep(1)\n row, col = player.algorithm(self.board)\n self.board.play(row, col, player.token) # algorithms index from (0,0) - so adjust this to (1,1) etc \n else:\n print(self.board)\n while True:\n usr_input = input(f'{player.name}, enter a move: ')\n \n if usr_input.lower() == 'exit':\n print(f'{player.name} exited!')\n self.exit_flag = True\n return\n\n if usr_input.lower() == 'skip':\n print(f'{player.name} has skipped their go!')\n return\n\n row, col = [int(i) for i in usr_input.split(' ')]\n try:\n self.board.play(row - 1, col - 1, player.token) # index top-left corner as (1,1) in player input, vs (0,0) everywhere else\n except IndexError as e:\n print(str(e), 'Play a different position.')\n else:\n break\n print(f'{player.name} played: ({row + 1}, {col + 1})\\n')\n print(self.board)","def next_action():\n while True:\n next = input('Enter Q to quit programme. M to return to main menu \\n')\n if next.lower() == 'q':\n logout()\n elif next.lower() == 'm':\n hr_main()\n is_invalid()","def get_input(self):\n result = None\n\n try:\n while True:\n result = self.console.read_for_condition(prompt=\">>> \", condition=self.is_valid_input)\n\n if result is not None:\n break\n except KeyboardInterrupt:\n quit()\n\n # run command for next condition\n self.game_branch[result]()","def _handleInput(self):\n\n Game.Player.running(Game.ControlState[Game.MoveRight], not (Game.ControlState[Game.MoveRight] == Game.ControlState[Game.MoveLeft]))\n Game.Player.jumping(Game.ControlState[Game.Jump])\n Game.Player.flying(Game.ControlState[Game.Fly])\n Game.Player.firing(Game.ControlState[Game.Fire])","def control(self):\n while not (self.game_over() or self.quit):\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n self.quit = True\n elif event.type == pygame.KEYDOWN:\n if event.key == pygame.K_r:\n self.play()\n elif event.key == pygame.K_m:\n self.__init__()\n elif event.key == pygame.K_LEFT and len(self.sequence)>=2:\n self.sequence.pop()\n self.board = self.sequence.pop()\n self.draw()\n elif event.key == pygame.K_1:\n self.tip(1)\n elif event.key == pygame.K_2:\n self.tip(2)\n elif event.key == pygame.K_3:\n self.tip(3)\n elif event.key == pygame.K_4:\n self.tip(4)\n elif event.key == pygame.K_5:\n self.tip(5)\n \n elif event.type == pygame.MOUSEBUTTONDOWN and event.button == 1:\n ## if mouse is pressed get position of cursor ##\n pos = pygame.mouse.get_pos()\n ## check if cursor is on button ##\n for i in range(len(self.buttons)):\n for j in range(len(self.buttons[i])):\n if self.buttons[i][j].collidepoint(pos):\n if self.selected == None:\n self.selected = [i,j]\n elif self.selected == [i,j]:\n self.selected = None\n elif self.board[self.selected[0]][self.selected[1]]==0:\n self.selected = [i,j]\n else:\n if self.move(i,j):\n self.selected = None\n self.draw()\n return True\n else:\n self.selected = None\n self.draw()\n return False\n self.draw()\n return False","def main():\r\n clean()\r\n h_choice = '2' # \r\n c_choice = '1' # \r\n first = '' # if human is the first\r\n\r\n # Human may starts first\r\n clean()\r\n while first != 'Y' and first != 'N':\r\n try:\r\n print(\" $$\\ $$\\ $$$$$$\\ $$$$$$$\\ $$$$$$$\\ $$$$$$$$\\ $$$$$$$\\ $$$$$$\\ \") \r\n print(\" $$ | $$ |$$ __$$\\ $$ __$$\\ $$ __$$\\ $$ _____|$$ __$$\\ $$ __$$\\ \")\r\n print(\" $$ | $$ |$$ / $$ |$$ | $$ |$$ | $$ |$$ | $$ | $$ |$$ / \\__|\")\r\n print(\" $$$$$$$$ |$$ | $$ |$$$$$$$ |$$$$$$$ |$$$$$\\ $$$$$$$ |\\$$$$$$\\ \")\r\n print(\" $$ __$$ |$$ | $$ |$$ ____/ $$ ____/ $$ __| $$ __$$< \\____$$\\ \")\r\n print(\" $$ | $$ |$$ | $$ |$$ | $$ | $$ | $$ | $$ |$$\\ $$ |\")\r\n print(\" $$ | $$ | $$$$$$ |$$ | $$ | $$$$$$$$\\ $$ | $$ |\\$$$$$$ |\")\r\n print(\" \\__| \\__| \\______/ \\__| \\__| \\________|\\__| \\__| \\______/ \") \r\n \r\n first = input('First to start?[y/n]: ').upper()\r\n except (EOFError, KeyboardInterrupt):\r\n print('Bye')\r\n exit()\r\n except (KeyError, ValueError):\r\n print('Bad choice')\r\n\r\n # Main loop of this game\r\n while len(empty_cells(board)) > 0 and not game_over(board):\r\n \r\n if first == 'N':\r\n print(\"Step\")\r\n xi = int (input(\"Initial row COMP(0-9): \"))\r\n yi = int (input(\"Initial column COMP(0-9): \"))\r\n ai_turn(c_choice, h_choice, xi, yi)\r\n first = ''\r\n render(board, c_choice, h_choice)\r\n print(\"Hope\")\r\n xi = int (input(\"Initial row HUMAN(0-9): \"))\r\n yi = int (input(\"Initial column HUMAN(0-9): \"))\r\n human_turn(c_choice, h_choice,xi,yi)\r\n render(board, c_choice, h_choice)\r\n xi = int (input(\"Initial row COMP(0-9): \"))\r\n yi = int (input(\"Initial column COMP(0-9): \"))\r\n ai_turn(c_choice, h_choice, xi, yi)\r\n\r\n # Game over message\r\n if wins(board, HUMAN):\r\n clean()\r\n print(f'Human turn [{h_choice}]')\r\n render(board, c_choice, h_choice)\r\n print('YOU WIN!')\r\n elif wins(board, COMP):\r\n clean()\r\n print(f'Computer turn [{c_choice}]')\r\n render(board, c_choice, h_choice)\r\n print('YOU LOSE!')\r\n else:\r\n clean()\r\n render(board, c_choice, h_choice)\r\n print('DRAW!')\r\n\r\n exit()","def prompt_player(self):\n board = self.draw_board()\n print board\n self.player_moves(self.board_values)","def play_game() -> None:\n board = tuple(tuple(0 for _ in range(i, i + 16))\n for i in range(0, 64, 16))\n state = GameState(board, 1)\n while state.util is None:\n # human move\n print(state.display)\n state = state.traverse(int(input(\"Move: \")))\n if state.util is not None:\n break\n # computer move\n find_best_move(state)\n move = (state.selected if state.selected != -1\n else random.choice(state.moves))\n state = state.traverse(move)\n print(state.display)\n if state.util == 0:\n print(\"Tie Game\")\n else:\n print(f\"Player {state.util} Wins!\")","def run_game(self):\n n = 1\n while self._run:\n # lock Framerate\n self._clock.tick(self._fps)\n # Process Input\n self._map.drawmap(self._screen)\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n self._run = False\n if (event.type == pygame.KEYDOWN):\n print(\"KeyDown\")\n if (event.key == pygame.K_SPACE):\n print(\"KeySpace\")\n self.move_to_next_turn()\n\n \"\"\"\n All Test Code\n \"\"\"\n if (self._player_turn == 1 and n == 1):\n self._screen.blit(self._core_deck.draw_deck(), (105, 130))\n for player in self._player_list:\n self._screen.blit(self._core_deck.draw_deck(), (105, 130))\n for player in self._player_list:\n print(player._name)\n player.show_hand()\n print(\"Deck: \\n\")\n self._core_deck.print_deck()\n print(self._player_list[0]._name)\n print(\"Playing a card...\")\n self._core_deck.go_to_graveyard(self._player_list[0].play_card(1))\n print(\"The hand:\")\n self._player_list[0].show_hand()\n print(\"Main Deck:\")\n self._core_deck.print_deck()\n print(\"Graveyard:\")\n self._core_deck.show_graveyard()\n for player in self._player_list:\n print(player._name)\n player.print_units()\n n = 2\n pygame.display.update()","def start():\n boards = [Board(board_size, number_of_game_pieces, 1), Board(board_size, number_of_game_pieces, 2)]\n gameover = False\n quitgame = False\n i = 1\n while not gameover:\n coords_accepted = False\n while not coords_accepted:\n inp = input(\n f\"Player {boards[(i + 1) % 2].player_id}, what is the coordinate you're targeting (row,column,layer)?\")\n if inp == \"show\":\n print(boards[(i + 1) % 2])\n continue\n elif inp == \"quit\":\n quitgame = True\n break\n elif boards[i].test_coords_valid(inp):\n coords_accepted = True\n else:\n print(\"Invalid coordinates. \")\n if quitgame:\n print(\"Quitting game\")\n break\n x, y, z = eval(inp)\n gameover = boards[i].strike(x, y, z)\n if gameover:\n print(f\"Game over, player #{boards[(i + 1) % 2].player_id} won!\")\n i = (i + 1) % 2","def game():\n board = create_board(8)\n character = create_character()\n reached_goal = False\n while not reached_goal:\n display_position(board, character)\n direction = input(\"Please enter a key in 'wasd' to move that direction. You cannot move pass the edge of the \"\n \"map.\")\n if validate_move(board, character, direction):\n move_character(direction, character)\n reached_goal = is_win(character, board)\n else:\n print(\"Please select a valid input. Enter a wasd key and do not move past the walls!\")\n display_position(board, character)\n print(\"You win!\")","def main():\n # each square in the board is assigned a label (1a-3c)\n board_values = deepcopy(c.INITIAL_BOARD_VALUES)\n\n print_welcome_message(board_values)\n\n winner = None\n current_player = None\n while winner is None:\n # current player is either \"X\" or \"O\"\n current_player = get_next_player(current_player)\n\n # ask the current player to choose a square\n chosen_square = get_next_move(current_player, board_values)\n\n # update the board, show it, and check for a winner or a full board\n board_values[chosen_square] = current_player\n print_board(board_values)\n winner = get_winner(board_values)\n\n print(get_final_message(winner))","def we_move(self):\n if self.player_squares.__len__() == 0:\n print \"This is the first move!\"\n self.record_move(self.our_squares, self.our_symbol, 5)\n self.finish_move(self.our_symbol, self.our_squares)\n else:\n print \"This is not the first move.\"\n # See where we should move next\n # Take square 5 if it's open\n if self.is_square_free(5):\n print \"Taking square 5.\"\n self.record_move(self.our_squares, self.our_symbol, 5)\n self.finish_move(self.our_symbol, self.our_squares)\n else:\n # See if the player is about to win\n print \"Square 5 is gone. Picking another.\"\n for win in TicTacToe.wins:\n print \"Testing winning combos for player.\"\n win_count = 0\n win_matches = []\n win_misses = []\n for i in win:\n if i in self.player_squares:\n print \"square %d is in win\" % i\n win_count += 1\n win_matches.append(i)\n elif i not in self.our_squares:\n win_misses.append(i)\n print \"win_count is %s\" % win_count\n if win_count == 2 and win_misses.__len__() > 0:\n print \"Uh-oh! Looks like the player might win soon.\"\n print \"win is %s\" % win\n print \"win_matches is %s\" % win_matches\n print \"win_misses is %s\" % win_misses[0]\n self.record_move(self.our_squares, self.our_symbol, win_misses[0])\n self.finish_move(self.our_symbol, self.our_squares)\n return\n # Try to block based on the player's last move\n if self.players_last_move == 1:\n if self.is_square_free(2):\n self.record_move(self.our_squares, self.our_symbol, 2)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(4):\n self.record_move(self.our_squares, self.our_symbol, 4)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(3):\n self.record_move(self.our_squares, self.our_symbol, 3)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(7):\n self.record_move(self.our_squares, self.our_symbol, 7)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.players_last_move == 3:\n if self.is_square_free(2):\n self.record_move(self.our_squares, self.our_symbol, 2)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(6):\n self.record_move(self.our_squares, self.our_symbol, 6)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(9):\n self.record_move(self.our_squares, self.our_symbol, 9)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(1):\n self.record_move(self.our_squares, self.our_symbol, 1)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.players_last_move == 9:\n if self.is_square_free(6):\n self.record_move(self.our_squares, self.our_symbol, 6)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(8):\n self.record_move(self.our_squares, self.our_symbol, 8)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(3):\n self.record_move(self.our_squares, self.our_symbol, 3)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(7):\n self.record_move(self.our_squares, self.our_symbol, 7)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.players_last_move == 7:\n if self.is_square_free(8):\n self.record_move(self.our_squares, self.our_symbol, 8)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(4):\n self.record_move(self.our_squares, self.our_symbol, 4)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(9):\n self.record_move(self.our_squares, self.our_symbol, 9)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(1):\n self.record_move(self.our_squares, self.our_symbol, 1)\n self.finish_move(self.our_symbol, self.our_squares)\n # No fancy logic here!\n elif self.is_square_free(1):\n self.record_move(self.our_squares, self.our_symbol, 1)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(3):\n self.record_move(self.our_squares, self.our_symbol, 3)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(9):\n self.record_move(self.our_squares, self.our_symbol, 9)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(7):\n self.record_move(self.our_squares, self.our_symbol, 7)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(2):\n self.record_move(self.our_squares, self.our_symbol, 2)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(6):\n self.record_move(self.our_squares, self.our_symbol, 6)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(8):\n self.record_move(self.our_squares, self.our_symbol, 8)\n self.finish_move(self.our_symbol, self.our_squares)\n elif self.is_square_free(4):\n self.record_move(self.our_squares, self.our_symbol, 4)\n self.finish_move(self.our_symbol, self.our_squares)","def play():\n global done\n done = False\n g = Game()\n turn = random.choice([PLAYER, AI])\n transitions_agent = []\n agent.epsilon = agent.eps_min\n while done == False:\n g.printBoard()\n if turn == PLAYER:\n row = input('{}\\'s turn:'.format('Red'))\n g.insert(int(row), PLAYER_PIECE)\n else:\n observation = []\n for sublist in g.board:\n for i in sublist:\n observation.append(i)\n observation = np.asarray(observation)\n action = agent.choose_action(observation)\n if g.check_if_action_valid(action):\n print('{}\\'s turn: %d'.format('Yellow') % action)\n g.insert(action, AI_PIECE)\n else:\n while g.check_if_action_valid(action) == False:\n agent.store_transition(observation, action, -100, observation, done)\n action = action = np.random.randint(7)\n print('{}\\'s turn: %d'.format('Yellow') % action)\n g.insert(action, AI_PIECE)\n observation_ = []\n for sublist in g.board:\n for i in sublist:\n observation_.append(i)\n observation_ = np.asarray(observation_)\n transitions_agent += [(observation, action, observation_, done)]\n turn = AI if turn == PLAYER else PLAYER\n winner = AI if turn == PLAYER else PLAYER\n if winner == AI:\n reward = 20\n else:\n reward = -20\n for i in range(len(transitions_agent)):\n agent.store_transition(transitions_agent[i][0], transitions_agent[i][1], reward, transitions_agent[i][2],\n transitions_agent[i][3])\n agent.learn()\n return","def next_move(board, player):\n \n move_row = \"move\"\n move_column = \"move\"\n\n while not move_row.isnumeric():\n move_row = input(\"{}, pick row to place your {}. > \".format(player.name, player.char))\n while not move_column.isnumeric(): \n move_column = input(\"Pick column in row {} to place your {}. > \".format(move_row, player.char))\n\n move_row = int(move_row)\n move_column = int(move_column)\n\n move = Move(player, (move_row, move_column))\n \n # Check if move is out of bounds\n if (move_row >= len(board.current_board) or\n move_column >= len(board.current_board)):\n print(\"Move out of bounds. Choose a valid move.\")\n return board\n\n # Check if space is already used\n if board.current_board[move_row][move_column] != \"-\":\n print(\"Spot already played. Pick an unused space.\")\n return board\n\n board.last_move = player.name\n board.add_move(move)\n\n return board","def play_move(self,state):\n #Keep asking for the next move until a valid move.\n while(True):\n childList = state.get_successors()\n print(\"Your possible moves:\")\n i = 0\n for c in childList:\n if i > 0 and i%4 == 0:\n print()\n print(c.get_action().ljust(10),end=\"\\t\");\n i += 1\n print()\n nextMove = input(\"What is your next move? \\ne.g.'F2-E3' or 'Quit'\\n\")\n #Check if the move is valid\n if nextMove.lower() == 'Quit'.lower():\n return None\n for c in childList:\n if c.get_action().upper() == nextMove.upper():\n return c\n # Move not possible \n print(\"Invalid move!! Please try again...\\n\")","def player_play(self, color, x, y):\r\n self.tr.bd.disks[x][y].color,\r\n self.tr.bd.disks[x][y].display_on = color, True\r\n self.tr.bd.disks[x][y].chain()\r\n self.tr.board_scan_reset()\r\n # Checks for computer move, if none, then checks for another move\r\n if self.tr.board_scan():\r\n self.delay = frameCount\r\n return\r\n else:\r\n self.tr.board_scan_reset()\r\n if not self.tr.board_scan():\r\n return\r\n # If none, ends game.\r\n else:\r\n self.tr.board_scan_reset()\r\n self.tr.scanner()\r\n self.tr.game_over = True\r\n self.tr.run_game_is_over = frameCount","def handle_input_event(self):\n\n self.markerPos = self.get_mouse_coordinate()\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n raise QuitRequestedError\n if event.type == pygame.KEYDOWN:\n if event.key == pygame.K_ESCAPE:\n raise QuitRequestedError\n if event.type == pygame.MOUSEBUTTONDOWN:\n if Event.is_valid_placement_stage(self.event):\n self.choice = self.get_mouse_coordinate()\n self.event = Event.next(self.event)\n self.timestep_watch.reset()\n\n liberties = self.env.liberty_after_next_steps(self.env.turn, self.env.getOpponent())\n self.env.printField(liberties)\n print()\n # self.env.printFlipNum(self.env.turn)\n # print(self.env.update_num_disks_can_filp(self.choice[0], self.choice[1], self.env.turn))\n\n # print(\"Click \", pos, \"coordinates: \", row, col)","def main():\n \n games = 'chess simon puzzle chess go slide go sudoku snake'.split()\n gi = 0\n game = games[gi]\n board = set_game(game)\n board.keys[K_t] = test\n \n while board.active:\n for event in pygame.event.get():\n board.do_event(event)\n if event.type == KEYDOWN:\n if event.key == K_g:\n gi = (gi + 1) % len(games)\n board = set_game(games[gi])\n \n board.update()\n \n pygame.quit()","def perform_action(self, current_player, action):\n self.inputs_[action] = current_player\n if Config.USER['debug']['enabled']:\n print \"---\"\n print str(self.inputs_[0:3])\n print str(self.inputs_[3:6])\n print str(self.inputs_[6:9])","def play_game(cls):\n os.system('cls')\n # Get the board size\n prompt = \"What size board do you want? (3-10)\"\n size = input(prompt)\n while size not in [str(x) for x in range(3, 11)]:\n size = input(prompt)\n cls.size = int(size)\n\n cls.clear_board()\n\n # Non-blocking fashion\n listener = keyboard.Listener(on_release=cls.on_release)\n listener.start()","def play_minion(num_cards_in_hand, card_idx):\n click_on_card(num_cards_in_hand, card_idx)\n mouseclick(510, 472)","def ask_user():\r\n while True:\r\n if bj.player1.double_down is True and bj.player1.split is True and bj.player1.went_split is False:\r\n p_choice = input(\"Hit, Stand, Double Down or Split?\\n\")\r\n if p_choice != \"hit\" and p_choice != \"stand\" and p_choice != \"dd\" and p_choice != \"double\" and p_choice != \"double down\" and p_choice != \"split\":\r\n print(\"Wrong input.\\n\")\r\n continue\r\n else:\r\n return p_choice\r\n elif bj.player1.split is True and bj.player1.went_split is False: # various input prompts depending on available player choices\r\n p_choice = input(\"Hit, Stand or Split?\\n\")\r\n if p_choice != \"hit\" and p_choice != \"stand\" and p_choice != \"split\":\r\n print(\"Wrong input.\\n\")\r\n continue\r\n else:\r\n return p_choice\r\n elif bj.player1.double_down is True:\r\n p_choice = input(\"Hit, Stand or Double Down?\\n\")\r\n if p_choice != \"hit\" and p_choice != \"stand\" and p_choice != \"dd\" and p_choice != \"double\" and p_choice != \"double down\":\r\n print(\"Wrong input.\\n\")\r\n continue\r\n else:\r\n return p_choice\r\n else:\r\n p_choice = input(\"Hit or Stand?\\n\")\r\n if p_choice != \"hit\" and p_choice != \"stand\":\r\n print(\"Wrong input.\\n\")\r\n continue\r\n else:\r\n return p_choice","def play():\n\n while True:\n print(\"Press any key to pick a piece (or q to quit): \")\n user_input = getch.getch()\n clear_screen()\n\n if user_input != 'q':\n current_piece = choice(list(pieces.keys())) \n print(current_piece, ': ', pieces[current_piece]['icon'], '\\n', sep=\"\")\n print(pieces[current_piece]['move'], '\\n')\n else:\n print(\"Thanks for trying No Stress Chess®\")\n break","def process_input(self):\n for event in pygame.event.get():\n\n if self.joystick and self.state == self.STATE_PLAY:\n\n if event.type == pygame.JOYAXISMOTION:\n self.gameevents.add(\"joyaxismotion\", event.axis, event.value, type='EVENT_USER')\n elif event.type == pygame.JOYBUTTONDOWN:\n if event.button == self.fire_button:\n self.gameevents.add(\"press\", \"fire\", type='EVENT_USER')\n elif event.button == self.IFF_button:\n self.gameevents.add(\"press\", \"iff\", type='EVENT_USER')\n elif event.button == self.shots_button:\n self.gameevents.add(\"press\", \"shots\", type='EVENT_USER')\n elif event.button == self.pnts_button:\n self.gameevents.add(\"press\", \"pnts\", type='EVENT_USER')\n elif event.type == pygame.JOYBUTTONUP:\n if event.button == self.fire_button:\n self.gameevents.add(\"release\", \"fire\", type='EVENT_USER')\n elif event.button == self.IFF_button:\n self.gameevents.add(\"release\", \"iff\", type='EVENT_USER')\n elif event.button == self.shots_button:\n self.gameevents.add(\"release\", \"shots\", type='EVENT_USER')\n elif event.button == self.pnts_button:\n self.gameevents.add(\"release\", \"pnts\", type='EVENT_USER')\n\n else:\n\n if event.type == pygame.KEYDOWN:\n\n if (pygame.key.get_mods() & self.modifier):\n if event.key == pygame.K_q:\n self.gameevents.add(\"press\", \"quit\", type='EVENT_USER')\n\n if event.key == pygame.K_RETURN:\n\n if self.state == self.STATE_INTRO:\n self.state = self.STATE_SETUP\n\n elif self.state == self.STATE_SETUP:\n self.state = self.STATE_GAMENO\n\n elif self.state == self.STATE_GAMENO:\n if self.mine_exists:\n self.state = self.STATE_SETUP_IFF\n else:\n self.state = self.STATE_PREPARE\n\n elif self.state == self.STATE_IFF:\n self.state = self.STATE_PREPARE\n\n elif self.state == self.STATE_SCORES:\n self.state = self.STATE_SETUP\n\n elif self.state == self.STATE_PLAY:\n\n if event.key == self.thrust_key:\n self.gameevents.add(\"press\", \"thrust\", type='EVENT_USER')\n elif event.key == self.left_turn_key:\n self.gameevents.add(\"press\", \"left\", type='EVENT_USER')\n elif event.key == self.right_turn_key:\n self.gameevents.add(\"press\", \"right\", type='EVENT_USER')\n elif event.key == self.fire_key:\n self.gameevents.add(\"press\", \"fire\", type='EVENT_USER')\n elif event.key == self.IFF_key:\n self.gameevents.add(\"press\", \"iff\", type='EVENT_USER')\n elif event.key == self.shots_key:\n self.gameevents.add(\"press\", \"shots\", type='EVENT_USER')\n elif event.key == self.pnts_key:\n self.gameevents.add(\"press\", \"pnts\", type='EVENT_USER')\n elif event.key == self.pause_key and self.config['General']['allow_pause']:\n self.gameevents.add(\"press\", \"pause\", type='EVENT_USER')\n else:\n self.gameevents.add(\"press\", event.key, \"user\", type='EVENT_SYSTEM')\n \n elif self.state == self.STATE_PAUSED and event.key == self.pause_key:\n self.gameevents.add(\"press\", \"unpause\", type='EVENT_USER')\n \n else:\n self.gameevents.add(\"press\", event.key, \"user\", type='EVENT_SYSTEM')\n\n elif event.type == pygame.KEYUP:\n\n if self.state == self.STATE_PLAY:\n\n if event.key == self.thrust_key:\n self.gameevents.add(\"release\", \"thrust\", type='EVENT_USER')\n elif event.key == self.left_turn_key:\n self.gameevents.add(\"release\", \"left\", type='EVENT_USER')\n elif event.key == self.right_turn_key:\n self.gameevents.add(\"release\", \"right\", type='EVENT_USER')\n elif event.key == self.fire_key:\n self.gameevents.add(\"release\", \"fire\", type='EVENT_USER')\n elif event.key == self.IFF_key:\n self.gameevents.add(\"release\", \"iff\", type='EVENT_USER')\n elif event.key == self.shots_key:\n self.gameevents.add(\"release\", \"shots\", type='EVENT_USER')\n elif event.key == self.pnts_key:\n self.gameevents.add(\"release\", \"pnts\", type='EVENT_USER')","def play_DQN_game(self):\n self.reset()\n while(not self._exit):\n pg.event.pump()\n self.clock.tick(self.actions_per_second)\n self.check_for_exit()\n self.handle_keyboard_input()\n self.perform_DQN_actions()\n self.check_for_end_game()\n self.render()\n\n self.cleanup()","def handle_turn(player_):\n if player_ == computer:\n print('\\nNow ', player_ + \"'s turn.\")\n position = block_to_win()\n if position == -1:\n position = check_if_computer_can_win()\n if position == -1:\n position = randrange(0, 9)\n while board[position] not in ['_']:\n position = randrange(0, 9)\n board[position] = computer\n display_board()\n if player_ == player:\n print('\\nNow ', player_ + \"'s turn.\")\n position = int(input('Choose a position from 1-9 (available): '))\n while position not in [1, 2, 3, 4, 5, 6, 7, 8, 9]:\n position = int(input('Wrong input. Choose a position from 1-9: '))\n position = position - 1\n while board[position] not in ['_']:\n position = int(input('Position is already taken. Choose from available positions: '))\n position = position - 1\n board[position] = player\n display_board()","def player_turn(self):\n if self.turn == \"x\":\n player_name = self.player_1\n else:\n player_name = self.player_2\n\n player_choice = input(f\"{player_name}, pick an open box to put an {self.turn} by entering the column, 'a', 'b',\"\n f\" or 'c' and the cell number, 1, 2, 3. (e.g. 'a1', 'b2' or 'c3'):\\n\").strip().lower()\n\n while player_choice not in valid_choices:\n print(f\"Invalid choice entered! Please submit an open box as listed below\")\n player_choice = input(\n f\"{player_name}, pick an open box to put an {self.turn} by entering the column, 'a', 'b', or \"\n f\"'c' and the cell number, 1, 2, 3. (e.g. 'a1', 'b2' or 'c3'):\\n\").strip().lower()\n\n self.update_board(player_choice)","def get_player_action(self) -> None:\n print(f\"\\nYou have: {self.user.hand.cards} totalling to {self.user.hand.value}\")\n while not self.get_game_ending_hands():\n action = self.validate_input(\"Do you want to 1. hit or 2. stand?\", ('1', '2'))\n if action == '1':\n self.action_hit()\n elif action == '2':\n self.action_stand()\n break","def play_cpu(self):\n \n # Play button sound\n self.button_sound()\n\n while True:\n\n # If turns is 9, then all the places on the board are filled. Hence Cpu doesn't get a turn. \n if self.turn >= 9:\n break\n\n # Choose a random position and if that position on board is empty, then place a 'O' there.\n i = random.randint(0, 8)\n if self.board[i] == 0:\n #root.after(400)\n self.button_list[i].config(image=self.O_img)\n self.board[i] = -1\n self.turn += 1\n\n break","def random_play(board, NN, device=\"cpu\"):\r\n board_state_string = board.fen() # obtain state from board\r\n state_array = input_state(board_state_string) # turn state into an array format for NN\r\n is_black = not is_white(board_state_string)\r\n print(\"is black: \",is_black)\r\n legal_moves_array = np.zeros([4672]) # initialize array of legal moves\r\n legal_moves_array, move_dict = return_legal_moves(board, is_black)\r\n # print(\"state array shape: \", state_array.shape)\r\n # print(\"legal array sahpe: \", legal_moves_array.shape)\r\n legal_moves_prob_distribution, _ = (NN.run(state_array, legal_moves_array, device=device)) #we're assuming that NN forward runs the neural network\r\n # legal_moves_prob_distribution = legal_moves_prob_distribution / np.sum(legal_moves_prob_distribution) # normalize\r\n legal_moves_prob_distribution = legal_moves_prob_distribution.numpy().reshape(4672)\r\n # legal_moves_prob_distribution = legal_moves_prob_distribution - np.min(legal_moves_prob_distribution)\r\n # legal_moves_prob_distribution = legal_moves_prob_distribution /legal_moves_prob_distribution.sum()\r\n # print(\"legal_moves_prob_distribution sum \",abs(legal_moves_prob_distribution).sum())\r\n # print(\"legal_moves_prob_distribution sum \",(legal_moves_prob_distribution* legal_moves_arrayCopy).sum())\r\n # print(\"legal_moves_prob_distribution sum \",(legal_moves_prob_distribution).sum())\r\n action_idx = np.random.choice(4672, p = legal_moves_prob_distribution )\r\n print(\"action idx: \", action_idx)\r\n action_array = np.zeros([4672])\r\n action_array[action_idx] = 1\r\n move_text = move_dict[action_idx]\r\n print(\"move text: \", move_text)\r\n env_move = chess.Move.from_uci(move_text)\r\n board.push(env_move)\r\n return action_array","def play_gui():\n global done\n GAME_OVER = False\n pygame.init()\n board = create_board()\n\n screen = pygame.display.set_mode(SIZE)\n draw_board(board, screen)\n pygame.display.update()\n\n myfont = pygame.font.SysFont(\"monospace\", 75)\n turn = np.random.randint(0, 2)\n\n while not GAME_OVER:\n g = Game()\n done = False\n transitions_agent = []\n\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n sys.exit()\n\n if event.type == pygame.MOUSEMOTION:\n pygame.draw.rect(screen, black, (0, 0, WIDTH, SQUARESIZE))\n posx = event.pos[0]\n if turn == PLAYER:\n pygame.draw.circle(screen, red, (posx, int(SQUARESIZE / 2)), RADIUS)\n pygame.display.update()\n\n if event.type == pygame.MOUSEBUTTONDOWN:\n pygame.draw.rect(screen, black, (0, 0, WIDTH, SQUARESIZE))\n\n if turn == PLAYER:\n posx = event.pos[0]\n col = int(math.floor(posx / SQUARESIZE))\n\n if is_valid_location(board, col):\n row = get_next_open_row(board, col)\n drop_piece(board, row, col, PLAYER_PIECE)\n\n if winning_move(board, PLAYER_PIECE):\n label = myfont.render(\"Player 1 wins!!\", 1, red)\n screen.blit(label, (40, 10))\n GAME_OVER = True\n\n turn = (turn + 1) % 2\n draw_board(board, screen)\n\n # # Ask for Player 2 Input\n if turn == AI and not GAME_OVER:\n observation = []\n #print(f\"BOARD: {board}\")\n temp_board = np.flipud(board)\n for col in range(COLUMN_COUNT):\n col_elements = temp_board[:,col]\n for element in col_elements:\n observation.append(element)\n\n #print(f\"OBS: {observation}\")\n observation = np.asarray(observation)\n col = agent.choose_action(observation)\n\n if is_valid_location(board, col):\n row = get_next_open_row(board, col)\n drop_piece(board, row, col, AI_PIECE)\n\n if winning_move(board, AI_PIECE):\n label = myfont.render(\"Player 2 wins!!\", 1, yellow)\n screen.blit(label, (40, 10))\n GAME_OVER = True\n\n draw_board(board, screen)\n turn = (turn + 1) % 2\n\n else:\n print(\"AI random choice\")\n col = np.random.randint(7)\n row = get_next_open_row(board, col)\n drop_piece(board, row, col, AI_PIECE)\n\n if winning_move(board, AI_PIECE):\n label = myfont.render(\"Player 2 wins!!\", 1, yellow)\n screen.blit(label, (40, 10))\n GAME_OVER = True\n\n draw_board(board, screen)\n turn = (turn + 1) % 2","def main():\r\n print(WELCOME_MESSAGE)\r\n\r\n playing = True\r\n while playing:\r\n\r\n # Valid inputs that the user can use\r\n move_actions = (UP, DOWN, LEFT, RIGHT)\r\n other_actions = (GIVE_UP, HELP)\r\n\r\n grid_size = int(input(BOARD_SIZE_PROMPT))\r\n\r\n # Get the puzzle and its solution\r\n solution = get_game_solution(WORDS_FILE, grid_size)\r\n puzzle = shuffle_puzzle(solution)\r\n\r\n solved = check_win(puzzle, solution)\r\n print_solution_position(solution, puzzle)\r\n\r\n # Continue to loop until the puzzle is solved or the user gives up\r\n while not solved:\r\n player_action = input(DIRECTION_PROMPT)\r\n\r\n # Player move input handler\r\n # Updates the puzzle with the new board layout, if fail alert user\r\n if player_action in move_actions:\r\n move_attempt = move(puzzle, player_action)\r\n if move_attempt:\r\n puzzle = move_attempt\r\n else:\r\n print(INVALID_MOVE_FORMAT.format(player_action))\r\n\r\n # Other inputs handler\r\n elif player_action in other_actions:\r\n if player_action == GIVE_UP:\r\n break\r\n elif player_action == HELP:\r\n print(HELP_MESSAGE)\r\n\r\n # If there is no match for input, alert the user\r\n else:\r\n print(INVALID_MESSAGE)\r\n\r\n print_solution_position(solution, puzzle)\r\n solved = check_win(puzzle, solution)\r\n\r\n # Show message depending if user won or not\r\n if solved:\r\n print(WIN_MESSAGE)\r\n else:\r\n print(GIVE_UP_MESSAGE)\r\n\r\n # Check if the user wishes to play again\r\n play_again = input(PLAY_AGAIN_PROMPT)\r\n if not (play_again.lower() == \"y\" or play_again == \"\"):\r\n playing = False\r\n print(BYE)","def play(auto_A: bool = False, auto_B: bool = False) -> None:\n board: Board = Board()\n player: Player = Player.A\n move_count: int = 1\n cell_number: int = 0\n print('Welcome to the Tic-Tac-Toe game!')\n while move_count <= 9:\n print(board.display())\n player_name: str = player.display()\n\n if player == Player.A and auto_A or player == Player.B and auto_B:\n cell_number = minimax(board, player)\n print(f'[{move_count}] Player {player_name} moved to {cell_number}.')\n else:\n response: str = input(f'[{move_count}] Player {player_name}, enter your move or q to exit: ')\n\n if response == 'q':\n print(\"Game exited.\")\n break\n\n response_error: Optional[str] = validate_response(response)\n if response_error is not None:\n print(f'ERROR! {response_error}')\n continue\n\n cell_number = int(response)\n if not board.is_cell_empty(cell_number):\n print(f'ERROR! Cell number {cell_number} is not empty.')\n continue\n\n board = board.make_move(player, cell_number)\n if board.is_win(player):\n print(board.display())\n print(f'Congratulations, player {player_name}! You won in {move_count} moves.')\n break\n else:\n move_count += 1\n player = player.switch()\n if move_count > 9:\n print(board.display())\n print('This game has ended in a draw.')","def check_for_input(self):\n if self.state == 'resting':\n if self.keys[pg.K_UP]:\n self.begin_moving('up')\n elif self.keys[pg.K_DOWN]:\n self.begin_moving('down')\n elif self.keys[pg.K_LEFT]:\n self.begin_moving('left')\n elif self.keys[pg.K_RIGHT]:\n self.begin_moving('right')","def playGame(b, px, po):\n \n nextPieceToMove = [\"X\",\"O\"] \n nextPlayerToMove = [px,po]\n n=0\n # FILL IN CODE HERE\n while True:\n if b.isFull() == False and nextPlayerToMove[n%2] == \"human\":\n move = askformove(b)\n b.addMove(move, nextPieceToMove[n%2])\n print(b)\n if b.winsFor(nextPieceToMove[n%2]):\n nextPieceToMove = nextPieceToMove[n%2]\n print(nextPieceToMove + \" wins!\")\n break\n elif not b.isFull():\n move = nextPlayerToMove[n%2].nextMove(b)\n b.addMove(move, nextPieceToMove[n%2])\n print(b)\n if b.winsFor(nextPieceToMove[n%2]):\n nextPieceToMove = nextPieceToMove[n%2]\n print(nextPieceToMove + \" wins!\")\n break\n else:\n nextPieceToMove = \"D\"\n break\n n = 1+n \n return(b.data, nextPieceToMove)","def main(self):\n while 1:\n events = get_gamepad()\n for event in events:\n\n if(event.ev_type == \"Absolute\" ):\n\n if event.code in self.map[GAMEPAD].keys():\n self.absolute_switch[ self.map[GAMEPAD][event.code] ](event.state)\n\n\n if(event.ev_type == \"Key\" ):\n\n if event.code in self.map[GAMEPAD].keys():\n self.btn_switch[ self.map[GAMEPAD][event.code] ](self.map[GAMEPAD][event.code], event.state)\n \n\n\n\n #print(event.ev_type, event.code, event.state)","def play_game(word_list):\n # TO DO ...\n\n hand = deal_hand(HAND_SIZE) # random init\n\n while True:\n cmd = input('Enter n to deal a new hand, r to replay the last hand, or e to end game: ')\n\n if cmd == 'n':\n hand = deal_hand(HAND_SIZE)\n play_hand(hand.copy(), word_list)\n print()\n\n elif cmd == 'r':\n play_hand(hand.copy(), word_list)\n print()\n\n elif cmd == 'e':\n break\n\n else:\n print(\"Invalid command.\")","def main():\r\n lp = launchpad_py.Launchpad() \r\n lp.Open()\r\n lp.LedAllOn(0)\r\n displayField(lp)\r\n player = 1\r\n while True:\r\n time.sleep(0.01)\r\n if player == 1:\r\n letter = \" X \"\r\n if player == 2:\r\n letter = \" O \"\r\n if setCross(lp, player, field, letter):\r\n if player == 1:\r\n player = 2\r\n else:\r\n player = 1\r\n if theWinnerIs(field, letter):\r\n if letter == \" X \":\r\n allOnForWinner(field,letter,lp)\r\n if letter == \" O \":\r\n allOnForWinner(field,player,lp)\r\n break\r\n if equal(field):\r\n lp.LedAllOn(lp.LedGetColor(3, 3))\r\n break","def GetNextMove(board, index, teams, mover):\n\tif teams[mover] == 'H':\n\t\twhile True:\n\t\t\tmove = int(input('Tell me your move, {}: '.format(mover)))\n\t\t\tresult = ValidateMove(board, mover, move)\n\t\t\tif result == MoveValidation.Valid:\n\t\t\t\treturn move\n\telse:\n\t\treturn GetComputerMove(board, index, mover)","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 play_game(word_list):\n hand = deal_hand(HAND_SIZE)\n\n while True:\n game = raw_input(\"\\nEnter 'n' to play a new game. Enter 'r' to replay your last game. Enter 'e' to exit. \\n\")\n\n if game == \"n\":\n hand = deal_hand(HAND_SIZE)\n play_hand(hand.copy(), word_list)\n elif game == \"r\":\n play_hand(hand.copy(), word_list)\n elif game == \"e\":\n print \"Game ended.\"\n break\n else:\n print \"Please enter a valid command.\"\n return play_game(word_list)\n\n comp_game = raw_input((\"\\nEnter 'u' to play a new game. Enter 'c' to have the computer play a game.\"))\n\n while comp_game != \"u\" and comp_game != \"c\":\n print \"Please enter a valid command.\"\n comp_game = raw_input((\"\\nEnter 'u' to play a new game. Enter 'c' to have the computer play a game. \"))\n\n if comp_game == \"u\":\n hand = deal_hand(HAND_SIZE)\n play_hand(hand.copy(), word_list)\n elif comp_game == \"c\":\n hand = deal_hand(HAND_SIZE)\n comp_play_hand(hand.copy(), word_list)","def playGameplus(wordList):\n #选择游戏模式\n global la_st2\n n = 0\n print '请选择你想进行的模式：a：单人 c：人机 e: 退出游戏'\n while True:\n order9 = raw_input('>>>').lower()\n if (order9 == 'a') or (order9 =='c'):\n moudl = True\n break\n elif order9 == 'e':\n moudl = False\n print '游戏已退出'\n print ' = ' * 20\n break\n else:\n print '命令有误，请重新输入'\n if moudl:\n print 'n:新的游戏 r:重开上局 e:退出'\n order8 = raw_input('>>>').lower() \n while True:\n if order8 == 'n':\n while True:\n n = raw_input('你想获取的字母数(大于4个):')\n while True:\n try:\n n = int(n)\n if n > 4:\n break\n except ValueError,e:\n print '输入有误！'\n if order9 == 'a':\n hand = dealHand(n)\n la_st = copy.deepcopy(hand)\n playHand(hand, wordList, n)\n elif order9 == 'c':\n hand = dealHand(n)\n la_st = copy.deepcopy(hand)\n playHandplus(hand, wordList, n)\n if order8 == 'r':\n if la_st2 and (order9 == 'a'):\n playHand(la_st, wordList, n)\n elif la_st2 and (order9 == 'c'):\n playHandplus(hand, wordList, n)\n elif not la_st2:\n print '您没有上局存档，请重新输入指令：'\n order8 = raw_input('>>>').lower()\n if order8 == 'e':\n print '游戏结束'\n break\n if not order8 in ['r','n','e'] or order8 == '':\n print '请重新输入指令：'\n order8 = raw_input('>>>').lower()","def nextQuestion(self):\n\t\tif len(self.usedQuestions) == self.numQuestions:\n\t\t\tif not self.nextRound():\n\t\t\t\treturn\n\n\t\tif self.selectingPlayer == '' or self.players[self.selectingPlayer][2] == 'Disconnected':\n\t\t\tself.choosePlayer()\n\t\telse:\n\t\t\tself.changeStatus(self.selectingPlayer, 'Selecting')\n\n\t\tfor player in self.players.items():\n\t\t\ttry:\n\t\t\t\tplayer[1][0].displayGrid()\n\t\t\texcept (ConnectionClosedError, ProtocolError):\n\t\t\t\tself.changeStatus(player[0], 'Disconnected')\n\n\t\tself.gridDisplayed.emit()","def playGame(wordList):\n while True:\n user_input = str(input('Enter n to deal a new hand, r to replay the last hand, or e to end game: '))\n if user_input == 'e':\n break\n elif user_input == 'n':\n while True:\n play_mode = str(input('Enter u to have yourself play, c to have the computer play: '))\n if play_mode == 'u':\n hand = dealHand(HAND_SIZE)\n playHand(hand, wordList, HAND_SIZE)\n break\n elif play_mode == 'c':\n hand = dealHand(HAND_SIZE)\n compPlayHand(hand, wordList, HAND_SIZE)\n break\n else:\n print('Invalid command.') \n elif user_input == 'r':\n try:\n hand\n play_mode = str(input('Enter u to have yourself play, c to have the computer play: '))\n if play_mode == 'u':\n playHand(hand, wordList, HAND_SIZE)\n elif play_mode == 'c':\n compPlayHand(hand, wordList, HAND_SIZE)\n else:\n print('Invalid command.')\n except:\n print('You have not played a hand yet. Please play a new hand first!')\n else:\n print('Invalid command.')","def update(self, player_index=0, num_players=1, visible_scards = []):\n\n self.visible_scards = visible_scards\n self.controller._state.player_index = player_index\n if self.num_players > num_players and self.controller._state.rules.Shared_Board \\\n and not self.need_updated_buttons:\n # A player has left the game after the round has begun -- make adjustments so game can continue.\n self.playerLeftGame(num_players)\n self.num_players = num_players\n if self.controller._state.round == -1:\n self.mesgBetweenRounds(self.help_text)\n if self.round_advance:\n self.round_index = self.round_index + 1\n if self.round_index < len(self.Meld_Threshold):\n self.help_text[0] = 'This is the round of ' + str(self.Meld_Threshold[self.round_index]) + ' ! '\n self.need_updated_buttons = True # used for Liverpool.\n else:\n self.help_text = ['Game has concluded. Scores for each round can be found in command window.']\n self.round_advance = False\n else:\n if not self.round_index == self.controller._state.round:\n # Need this to true up round_index if a player joins mid-game.\n skipped_rounds = self.controller._state.round - self.round_index\n for idx in range(skipped_rounds):\n #todo: How to score latecomers should be moved to ruleset.\n score = 0\n self.controller.lateJoinScores(score)\n self.round_index = self.controller._state.round\n self.round_advance = True\n # reset outline colors on ready buttons to what they need to be at the start of the \"between rounds\" state.\n self.ready_color_idx = 2\n self.not_ready_color_idx = 6\n self.last_hand = self.current_hand\n self.current_hand = self.controller.getHand()\n if len(self.current_hand) == 0:\n self.hand_info = []\n elif not self.last_hand == self.current_hand:\n self.hand_info = HandManagement.WrapHand(self, self.current_hand, self.hand_info)\n HandManagement.ShowHolding(self, self.hand_info) # displays hand\n self.RuleSetsButtons.ButtonDisplay(self)","def playGame(wordList):\n hand = None\n while True:\n selection = raw_input(\"Enter n to deal a new hand, r to replay the last hand, or e to end game:\")\n if selection == 'n':\n hand = dealHand(HAND_SIZE)\n playHand(hand, wordList, HAND_SIZE)\n print\n \n elif selection == 'r':\n if hand is None:\n print \"You have not played a hand yet. Please play a new hand first!\"\n print\n \n else:\n playHand(hand, wordList, HAND_SIZE)\n\n elif selection == 'e':\n break\n\n else: \n print \"Invalid command.\"","def listenMove(s):\n debugPrint(\"FUNCTION AcornClient.listenMove()\")\n print(grid)\n loop = True\n while loop:\n move = input(\">>> \").lower()\n if move in ['w']:\n loop = False\n sendMove(s, 'up')\n elif move in ['s']:\n loop = False\n sendMove(s, 'down')\n elif move in ['d']:\n loop = False\n sendMove(s, 'right')\n elif move in ['a']:\n loop = False\n sendMove(s, 'left')\n else:\n print(\"Please choose either: 'up', 'down', 'left', or 'right'. Thank you.\") # In case the user is trying to break the system :(\n debugPrint(\"User input an unknown direction: %s\" % move, 1)","def game(self):\n sender = self.sender()\n if(sender.text() == \" \"):\n sender.setText(\"x\" if self.firstPlayer else \"0\")\n self.firstPlayer = not(self.firstPlayer)\n res = self.checkForResult()\n if(res[0] == True):\n self.endGame(res[1])","def play(self):\n \n while True:\n self.print_board()\n self.display_board()\n winner = self.is_game_won()\n if winner or self.is_filled():\n break\n \n if self.turn == _PLAYER:\n col = self.human_turn()\n else:\n col = self.ai_turn()\n\n row = self.get_row_for_col(col)\n self.board[7 * row + col] = self.turn\n self.last_play_rc = row, col\n\n if self.debug:\n print(\"position scores:\",\n \"player=\", score_position(self.board, _PLAYER),\n \"ai=\", score_position(self.board, _AI))\n \n self.turn = _AI if self.turn == _PLAYER else _PLAYER\n \n if winner == 0:\n msg = \"Tie!\"\n elif winner == 1:\n msg = \"You win!\"\n else:\n msg = \"I win!\"\n \n oled.text(msg, 64, 30)\n oled.show()\n print(\"\\n\" + msg + \"\\n\")\n \n if winner == 0 or winner == 1:\n if self.plies == 3:\n print(\"\"\"\n(Of course, you did set me to easy mode, which I feel compelled to mention.)\n\"\"\")\n print(\"\"\"\n\nThere are some interesting things to learn about ConnectFour:\n\n {url}\n\nTo move ahead:\n\n >>> import sensors\n >>> sensors.start()\n\n\"\"\".format(url=url(\"connectfour\")))\n\n else:\n print(\"\"\"\nWow. You were beat by a $4 computer--using only one of my processors (!!).\nTo get the code to move ahead, you'll need to at least tie me.\n\nTo play again, make a new instance of the ConnectFour class. You can choose\ndifferent options than the defaults:\n\n connectfour.ConnectFour(plies, start_player, serial_input, debug)\n - plies [5]: moves to look ahead (3-6, where 3 is easy and 6 is slow and hard\n - start_player [0]: 0 for random, 1 for you, 2 for me\n - serial_input [False]: Enter moves w/keyboard in terminal instead of knob\n - debug [False]: Show information about current AI evaluation scores\n\nFor example:\n\n >>> g = ConnectFour(plies=4, start_player=1)\n >>> g.play()\n\n\"\"\")","def start_play(self, player1, player2, start_player=0, is_shown=1): # 下棋\n line = input().strip()\n full_input = json.loads(line)\n requests = full_input['requests']\n x = requests[0]['x']\n y = requests[0]['y']\n if x < 0:\n start_player = 1\n else:\n start_player = 0\n self.board.init_board(start_player) # 初始化棋盘\n p1, p2 = self.board.players # 两个棋手\n player1.set_player_ind(p1)\n player2.set_player_ind(p2)\n players = {p1: player1, p2: player2}\n if x >= 0:\n current_player = self.board.get_current_player() # 获取当前棋手\n player_in_turn = players[current_player]\n move = 80 - (x + 1) * 9 + y + 1\n self.board.do_move(move) # 进行落子\n while True:\n current_player = self.board.get_current_player() # 获取当前棋手\n player_in_turn = players[current_player]\n # self.board.set_current_availables() # 设定当前使用的availables\n move = player_in_turn.get_action(self.board)\n self.board.do_move(move) # 进行落子","def advance_board(self):\n raise NotImplementedError","def getInput():\t\n\tglobal active_\n\n\t#to disable the service \n\tactive_ = False \n\t\n\t# reading the previous input\n\tprev_input_ = rospy.get_param('/input')\n\tinput_ = prev_input_\n\t\n\t#in order to make the user to choose one of the 5 possible inputs\n\twhile (prev_input_ == input_) or (input_ > 5 or input_ < 1):\n\t\tif input_ > 5 or input_ < 1: \n\t\t\t#in the case in which the user make another selection\n\t\t\tprint \"Unknown input, please try again\" \n\t\t\n\t\t#propose to the user which are the real possibilities\n\t\tprint(\"Please select one of the following senteces\\n\")\n\t\tprint(\"1 - Move the robot randomly in the environment, by choosing one of six possible target positions\\n\")\n\t\tprint(\"2 - The user can chose the next target position\\n\")\n\t\tprint(\"3 - Start following the external walls\\n\")\n\t\tprint(\"4 - Stop the robot in the last position\\n\")\n\t\tprint(\"5 - Change the planning algorithm from move_base to bug0 and vice versa\\n\")\n\n\t\t#read the input typed by the user\t\n\t\tinput_ = (int(raw_input(\"Please select a number between 1 and 5: \")))\n\n\t#set the choice made by the user\n\tif input_ >= 1 and input_ <= 5:\n\t\trospy.set_param('/input', input_)","def start_game(self):\n p1_move = True\n is_all_moves_over = False\n while not is_all_moves_over:\n\n while p1_move and not is_all_moves_over:\n p1 = int(input(\"Player 1 pos:\"))\n is_all_moves_over, p1_move = self.play('p1', p1, p1_move)\n\n while not p1_move and not is_all_moves_over:\n p2 = int(input(\"Player 2 pos:\"))\n is_all_moves_over, p1_move = self.play('p2', p2, p1_move)\n\n print(\"Game Ended in Draw\")","def play(self):\n\n while self.board.board[self.board.target_location()[0]]\\\n [self.board.target_location()[1]] == \"E\": # the car didn't\n # arrive the exit\n self.__single_turn()\n print(\"you won!\")","def human():\n table = [ \n \"-\", \"-\", \"-\", \n \"-\", \"-\", \"-\", \n \"-\", \"-\", \"-\", \n ]\n choices = choice()\n turn = [0,1,2,3,4,5,6,7,8]\n\n # while table still have available space, run until all boxes are filled\n while len(turn) != 0:\n \n # Player1's turn\n move_index, turn = table_check(table, turn) # Check if the index is valid\n table[move_index] = choices[0] # Fill X or O to the table base on the index chosen\n display_board(table) # Display to let them see for 2nd player's turn\n\n # The game cannot be won unless 5 moves has been played, so when turn has been reduced to 4 moves or less, check win\n # Check win before tie since last move might make it a win\n if len(turn) <= 4:\n win_condition, player = win_check(table)\n if win_condition == True:\n print(f\"\\nPlayer \\\"{player}\\\" won!!\\nThanks for playing!\")\n retry()\n\n # Player 1 will be the one who finish the game, so after filling every turn of player 1\n # we need to check if it's the last turn, if yes than break\n if len(turn) == 0:\n break\n \n # Player2's turn\n move_index, turn = table_check(table, turn) # Check if the index is valid\n table[move_index] = choices[1] # Fill X or O to the table base on the index chosen\n display_board(table) # Display to let them see for 2nd player's turn\n\n # The game cannot be won unless 5 moves has been played, so when turn has been reduced to 4 moves or less, check win\n if len(turn) <= 4:\n win_condition, player = win_check(table)\n if win_condition == True:\n print(f\"\\nPlayer \\\"{player}\\\" won!!\\nThanks for playing!\")\n retry()\n \n print(\"\\nDRAW!\")\n retry()","def playGame(wordList):\n while True:\n user_input = str(input('Enter n to deal a new hand, r to replay the last hand, or e to end game: '))\n if user_input == 'e':\n break\n elif user_input == 'n':\n hand = dealHand(HAND_SIZE)\n playHand(hand, wordList, HAND_SIZE)\n elif user_input == 'r':\n try:\n playHand(hand, wordList, HAND_SIZE)\n except:\n print('You have not played a hand yet. Please play a new hand first!') \n else:\n print('Invalid command.')","def human_move(board,player):\r\n \r\n s = input(\"Please input a legal move in a format of \\\"current_position-landing_position\\\", if the move is cantering or plain. In case of a capturing move, follow \\\"current_position-landing_position-enemy piece\\\": \")\r\n move = s.split('-')\r\n legal = legal_moves(board,player)\r\n execution(move,legal,board,player)","def main():\n\n print('R-In-A-Row')\n print()\n\n while True:\n if play == 'human vs human':\n human1Tile, human2Tile = enterHuman1Tile()\n\n turn = whoGoesFirst()\n print('The %s player will got first.' % (turn))\n mainBoard = getNewBoard()\n elif play == 'human vs computer':\n human1Tile, computer1Tile = enterHuman1Tile()\n turn = whoGoesFirst()\n print('The %s player will go first.' % (turn))\n mainBoard = getNewBoard()\n elif play == 'computer vs computer':\n computer1Tile, computer2Tile = enterHuman1Tile()\n turn = whoGoesFirst()\n print('The %s player will go first.' % (turn))\n\n\n while True:\n if play == 'human vs human':\n if turn == 'human1':\n drawBoard(mainBoard)\n move = getHuman1Move(mainBoard)\n\n makeMove(mainBoard, human1Tile, move)\n\n if isWinner(mainBoard, human1Tile):\n winner = 'human1'\n\n break\n turn = 'human2'\n if turn == 'human2':\n drawBoard(mainBoard)\n move2 = getHuman2Move(mainBoard)\n makeMove(mainBoard, human2Tile, move2)\n if isWinner(mainBoard, human2Tile):\n winner = 'human2'\n break\n turn = 'human1'\n\n elif play == 'human vs computer' :\n if turn == 'human':\n drawBoard(mainBoard)\n move = getHuman1Move(mainBoard)\n makeMove(mainBoard, human1Tile, move)\n if isWinner(mainBoard, human1Tile):\n winner = 'human'\n\n break\n turn ='computer'\n\n elif turn == 'computer':\n drawBoard(mainBoard)\n print('The computer is thinking...')\n move = getComputer1Move(mainBoard, computer1Tile)\n makeMove(mainBoard, computer1Tile, move)\n if isWinner(mainBoard, computer1Tile):\n winner = 'computer'\n break\n turn = 'human'\n elif play == 'computer vs computer':\n if turn == 'computer1':\n drawBoard(mainBoard)\n print('computer1 is thinking...')\n move = getComputer1Move(mainBoard, computer1Tile)\n makeMove(mainBoard, computer1Tile, move)\n if isWinner(mainBoard, computer1Tile):\n winner = 'computer1'\n break\n turn = 'computer2'\n elif turn == 'computer2':\n drawBoard(mainBoard)\n print('computer2 is thinking...')\n move = getComputer2Move(mainBoard, computer2Tile)\n makeMove(mainBoard, computer2Tile, move)\n if isWinner(mainBoard, computer2Tile):\n winner = 'computer2'\n break\n turn = 'computer1'\n\n\n if isBoardFull(mainBoard):\n winner = 'tie'\n break\n\n drawBoard(mainBoard)\n print('Winner is: %s' % winner)\n if not playAgain():\n break","def requestMove(self) -> None:\n\n # player's turn to make a move\n if self.whoseTurn == self.player:\n position: int = int(input(f\"{self.player.getName()}'s turn : \"))\n self.player.insertSymbol(position)\n self.whoseTurn = self.ai\n\n # AI's turn to make a move\n else:\n print(f\"{self.ai.getName()}'s turn\")\n self.ai.makeBestMove()\n self.whoseTurn = self.player","def play_one_move(self):\n self.print(\"top of move\")\n # 1) grab three cups\n c1 = self.take_cup_after(self.current_cup_idx())\n c2 = self.take_cup_after(self.current_cup_idx())\n c3 = self.take_cup_after(self.current_cup_idx())\n print(f\"pick up: {c1}, {c2}, {c3}\")\n self.print(\"after pickup\")\n\n # 2) find a destination cup\n destination_idx = self.find_next_destination(self.current_cup)\n print(\n f\"destination index is {destination_idx}, cup is {self.cups[destination_idx]}\"\n )\n\n # 3) insert cups back into the circle\n self.add_cups(destination_idx, [c1, c2, c3])\n self.print(\"after adding cups..\")\n\n # 4) select the next cup\n self.select_next_cup()\n\n self.print(\"post move\")","def askformove(b):\n while True:\n print(b)\n userInput = input(\"enter your move \")\n try:\n userInput= int(userInput)\n assert(userInput <= b.width )\n assert(b.allowsMove(userInput))\n except (ValueError,AssertionError):\n print(\"enter a diff move\")\n continue\n return userInput","def handle_turn(cls, key):\n entered = str(key).replace(\"'\", \"\")\n\n if entered in ['a','s','d','w']:\n switcher = {\n 'w': cls.up,\n 's': cls.down,\n 'a': cls.left,\n 'd': cls.right,\n }\n switcher.get(entered)()\n cls.display_board(True)\n \n elif entered in cls.positions:\n cls.position = int(entered) - 1\n\n elif entered == 'Key.enter':\n row, col = cls.get_position_coords()\n if cls.board[row][col] == cls.empty:\n # Board will place an X or O on the number slot chosen\n cls.board[row][col] = cls.current_player\n\n # Check if the game has ended\n cls.is_game_over()\n\n # Flip to other player\n cls.flip_player()\n\n # Declare winner and clear board\n if(cls.winner):\n print(f'{cls.winner} wins!')\n input('Press enter to play again.')\n cls.clear_board()\n else:\n print(\"You can't go there. Asshole.\")","def run(self):\n print(\"WELCOME TO MINESWEEPER!\")\n\n\n while True:\n\n self.get_input()\n start_game(self.rows, self.cols, self.mines)","def getMove(player,first_move=False):\n while True: \n move = raw_input(\"MAKE YOUR MOVE: \").upper()\n\n # handle special commands\n if move == \"QUIT\" or move == \"Q\":\n wannaQuit()\n continue\n elif move == \"QUIT!\" or move == \"Q!\":\n if SAY_PROC:\n SAY_PROC.terminate()\n sys.exit()\n continue\n elif move == \"HELP\" or move == \"H\":\n help()\n continue\n elif move == \"HELP!\" or move == \"H!\":\n say(helpString())\n continue\n elif move == \"SHUTUP!\" or move == \"S!\":\n shutUp(fuck=True)\n continue\n elif move == \"SHUTUP\" or move == \"S\":\n shutUp()\n continue\n elif move == \"BOARD\" or move == \"B\":\n printBoard()\n continue\n elif move == \"CLEAR\" or move == \"C\": \n clearTerminal()\n printBoard()\n continue\n elif move == \"CLEAR!\" or move == \"C!\": # TODO board -> clear, you end up with a half drawn new board. clear again fixes this\n clearTerminalAndBuffer()\n printBoard()\n continue\n elif move == \"PASS\" or move == \"P\": \n if wannaPass():\n break\n else:\n continue\n elif move == \"PASS!\" or move == \"P!\": \n break\n \n # mostly used to catch blank lines or me typing ASFADS like an asshole\n if len(move) < 7:\n print \"That's too short to be a command.\"\n continue\n\n parts=move.split(\":\")\n if len(parts) != 3:\n print \"Can't find all the parts of the move command. Maybe you're missing/have too many \\\":\\\"?\"\n continue\n\n for item in parts:\n if len(item) == 0:\n print \"Found a blank command. Maybe you left in an extra \\\":\\\"?\"\n continue\n\n coords = parts[0].replace(\" \",\"\") # incase of space inbetween file and rank\n direction = parts[1].strip()\n word = parts[2].strip()\n\n if not coords[0].isalpha():\n print \"I don't know where to put your word (Bad file coord).\"\n continue\n\n if not coords[1:].isdigit():\n print \"I don't know where to put your word (Bad rank coord).\"\n continue\n\n x = gridCharToInt(coords[0])\n y = int(coords[1:]) - 1\n if 14 < x < 0 or 14 < y < 0:\n print \"Those aren't coords on the board. Valid Files are from A-O, valid Ranks are 1-15.\"\n continue\n\n if first_move:\n if x != 7 or y != 7:\n print \"The first move must start from the center (H8).\"\n continue\n\n #compact that command\n if direction == \"ACROSS\":\n direction = \"A\"\n elif direction == \"DOWN\":\n direction = \"D\"\n if direction != \"A\" and direction !=\"D\":\n print \"I don't know where to put your word (Across or Down?).\"\n continue\n \n score,placed_tiles = checkWords(x,y,direction,word,first_move)\n if not score: #error reporting is handling in check words\n continue\n else:\n for tile in placed_tiles:\n if not tile in player.rack:\n print \"You don't have the tiles to play that!\"\n continue\n player.rack.remove(tile)\n print player.name+\" scored \"+str(score)+\" on that last play!\"\n player.score+=score\n for tile in placed_tiles:\n player.rack.remove(tile)\n break #YAY","def main():\n\tcolorama.init()\n\n\n\n\tgrid = get_start_grid(*map(int,sys.argv[1:]))\n\tprint_grid(grid)\n\n\twhile True:\n\t\tgrid_copy = copy.deepcopy(grid)\n\t\tget_input = getch(\"Enter direction (w/a/s/d/n/r/q): \")\n\t\tif get_input in functions:\t\n\t\t\tfunctions[get_input](grid)\n\t\telif get_input == \"n\":\n\t\t\tif get_next_action(grid) == '':\n\t\t\t\tprint(\"Checkmate!\")\n\t\t\t\tbreak\n\t\t\tfunctions[get_next_action(grid)](grid)\n\t\telif get_input == \"r\":\n\t\t\tbreak\n\t\telif get_input == \"q\":\n\t\t\tbreak\n\t\telse:\n\t\t\tprint(\"\\nInvalid choice.\")\n\t\t\tcontinue\n\t\tif grid != grid_copy:\n\t\t\tif not prepare_next_turn(grid):\n\t\t\t\tprint_grid(grid)\n\t\t\t\tprint(\"Well played!\")\n\t\t\t\tbreak\n\t\tprint_grid(grid)\n\t\n\tif get_input == \"r\":\n\t\twhile True:\n\t\t\tgrid_copy = copy.deepcopy(grid)\n\n\t\t\tnext_action = get_next_action(grid)\n\t\t\tif next_action == '':\n\t\t\t\tprint(\"Checkmate!\")\n\t\t\t\tbreak\n\t\t\t\n\t\t\tfunctions[next_action](grid)\n\t\t\tif grid != grid_copy:\n\t\t\t\tif not prepare_next_turn(grid):\n\t\t\t\t\tprint_grid(grid)\n\t\t\t\t\tprint(\"Well played!\")\n\t\t\t\t\tbreak\n\t\t\tprint_grid(grid)\n\n\tprint(\"Thanks for playing.\")","def play_game():\n clear()\n print(\" 1 | 2 | 3 \\n --- --- --- \\n\"\n \" 4 | 5 | 6 \\n --- --- --- \\n\"\n \" 7 | 8 | 9 \")\n player = 'Player_one'\n continue_game = True\n while continue_game:\n position = game.ask(player=player)\n if position is False:\n print(\"Please enter a number from 1-9.\")\n position = game.ask(player=player)\n clear()\n update_and_switch = game.update_and_switch(position, player=player)\n if update_and_switch is False:\n position = game.ask(player=player)\n game.update_and_switch(position, player=player)\n else:\n player = game.switch_player(player)\n continue_game = game.evaluate_winner()\n\n restart = input(\"Do you want to play again? (yes or no)\\n\").lower()\n if restart == 'yes':\n game.list = [\" \", \" \", \" \", \" \", \" \", \" \", \" \", \" \", \" \"]\n play_game()\n\n else:\n clear()\n print(\"Bye 👋 Hope you had fun!\")","def player_loop(self):\n\n # Generate game tree object\n first_msg = self.receiver()\n # Initialize your minimax model\n model = self.initialize_model(initial_data=first_msg)\n\n while True:\n msg = self.receiver()\n\n # Create the root node of the game tree\n node = Node(message=msg, player=0)\n\n # Possible next moves: \"stay\", \"left\", \"right\", \"up\", \"down\"\n best_move = self.search_best_next_move(\n model=model, initial_tree_node=node)\n\n # Execute next action\n self.sender({\"action\": best_move, \"search_time\": None})","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 interact():\r\n\tboard = None\r\n\tline = raw_input(\"Enter Command (h for help): \")\r\n\tline = line.replace(\" \", \"\")\r\n\twhile line and line[0] != \"q\":\r\n\t\tcommand = line[0]\r\n\t\tif command == 'n': \r\n\t\t\tcoordinates = ast.literal_eval(line[1:])\r\n\t\t\trows = coordinates[0]\r\n\t\t\tcols = coordinates[1]\r\n\t\t\tboard = createBoard(int(rows),int(cols))\r\n\t\telif command == 'i':\r\n\t\t\tliveCells = ast.literal_eval(line[1:])\r\n\t\t\tfor cells in liveCells:\r\n\t\t\t\tboard[cells[0]-1][cells[1]-1] = 1\r\n\t\telif command == 'p':\r\n\t\t\tprintBoard(board)\r\n\t\telif command == 'r':\r\n\t\t\tnumOfGens = ast.literal_eval(line[1:])\r\n\t\t\tfor n in range(numOfGens):\r\n\t\t\t\tboard = next_life_generation(board)\r\n\t\t\t\tprintBoard2(board)\r\n\t\telif command == 's':\r\n\t\t\tprintBoard2(board)\r\n\t\telif command == 'd':\r\n\t\t\tprintBoard2(board)\r\n\t\telif command == 'h':\r\n\t\t\tprint(\"\"\" \r\nCommands:\r\nn\t[height,width] (Create a height * width board)\r\ni\t(initialize life)\r\np\t(print the board)\r\ns\t(display the board)\r\nr\t(advance n generations, displaying each after)\r\nh\t(display this help reminder)\r\n\r\nq\t(quit)\"\"\")\r\n\t\tline = raw_input(\"Enter Command (h for help): \")\r\n\t\tline = line.replace(\" \", \"\")\r\n\tprint \"Life is over\\n\"","def choose_action(self, board, possible_actions):\r\n self._print_board(board)\r\n while True:\r\n user_choice = int(input(\"Which Field?\"))\r\n if user_choice in possible_actions:\r\n return user_choice\r\n else:\r\n print('Action not possible!')"],"string":"[\n \"def nextEventWildsOnBoard(self):\\n\\n if self.controller._state.rules.Shared_Board and self.num_wilds > 0:\\n for self.event in pygame.event.get():\\n if self.event.type == pygame.QUIT:\\n # The window crashed, we should handle this\\n print(\\\"pygame crash, AAAHHH\\\")\\n pygame.quit()\\n quit()\\n else:\\n # in Shared_Board games, check if there are wilds that need to be updated.\\n # All other events are ignored until play is finished.\\n HandManagement.wildsHiLoGetInput(self)\",\n \"def perform_keyboard_actions(self):\\n self.handle_keyboard_input()\\n self.grid.next_frame()\",\n \"def next_cmd(self):\\n if not self.validate():\\n self.initial_focus.focus_set()\\n return\\n self.player_ships[self.values[0]] = self.values[1]\\n self.num_players += 1\\n self.e1.delete(0, END)\\n self.buttonbox()\\n self.e1.focus_set()\\n self.e2.reset()\",\n \"def next(self):\\n \\n jump = 0\\n \\n for event in pudding.process_event():\\n if event[0] == sdlconst.KEYDOWN:\\n if (event[1] == sdlconst.K_q) or (event[1] == sdlconst.K_ESCAPE):\\n tofu.GAME_INTERFACE.end_game() # Quit the game\\n \\n elif event[1] == sdlconst.K_m:\\n print \\\"trying to change single to multiplayer mode\\\"\\n tofu.GAME_INTERFACE.end_game('client')\\n \\n elif event[1] == sdlconst.K_LSHIFT:\\n # Shift key is for jumping\\n # Contrary to other action, jump is only performed once, at the beginning of\\n # the jump.\\n jump = 1\\n \\n elif event[1] == sdlconst.K_LEFT: self.left_key_down = 1\\n elif event[1] == sdlconst.K_RIGHT: self.right_key_down = 1\\n elif event[1] == sdlconst.K_UP: self.up_key_down = 1\\n elif event[1] == sdlconst.K_DOWN: self.down_key_down = 1\\n \\n elif event[0] == sdlconst.KEYUP:\\n if event[1] == sdlconst.K_LEFT: self.left_key_down = 0\\n elif event[1] == sdlconst.K_RIGHT: self.right_key_down = 0\\n elif event[1] == sdlconst.K_UP: self.up_key_down = 0\\n elif event[1] == sdlconst.K_DOWN: self.down_key_down = 0\\n \\n if jump: return Action(ACTION_JUMP)\\n \\n # People saying that Python doesn't have switch/select case are wrong...\\n # Remember this if you are coding a fighting game !\\n return Action({\\n (0, 0, 1, 0) : ACTION_ADVANCE,\\n (1, 0, 1, 0) : ACTION_ADVANCE_LEFT,\\n (0, 1, 1, 0) : ACTION_ADVANCE_RIGHT,\\n (1, 0, 0, 0) : ACTION_TURN_LEFT,\\n (0, 1, 0, 0) : ACTION_TURN_RIGHT,\\n (0, 0, 0, 1) : ACTION_GO_BACK,\\n (1, 0, 0, 1) : ACTION_GO_BACK_LEFT,\\n (0, 1, 0, 1) : ACTION_GO_BACK_RIGHT,\\n }.get((self.left_key_down, self.right_key_down, self.up_key_down, self.down_key_down), ACTION_WAIT))\",\n \"def play_keyboard_input_game(self):\\n self.reset()\\n while(not self._exit):\\n pg.event.pump()\\n self.clock.tick(self.actions_per_second)\\n self.check_for_exit()\\n self.perform_keyboard_actions()\\n self.check_for_end_game()\\n self.render()\\n self.debug_to_console()\\n\\n self.cleanup()\",\n \"def computer_play(self):\\r\\n # Depending on game flow, helped randomize when smack showed up\\r\\n # This is more of an Easter Egg than anything.\\r\\n if (self.tr.disks_on_board != 0 and (self.tr.disks_on_board % 6 == 0 or\\r\\n self.tr.disks_on_board % 6 == 3) and self.tr.turn_tracker):\\r\\n self.ai.talk_smack()\\r\\n # Computer identifies possible moves to analyze\\r\\n for item in self.tr.computer_moves:\\r\\n self.ai.coordinate_extractor(item)\\r\\n # Computer chooses move\\r\\n choice = self.ai.choose_move()\\r\\n # Makes play\\r\\n choice = self.tr.bd.disks[choice[0]][choice[1]]\\r\\n self.ai.moves_reset()\\r\\n choice.color, choice.display_on = 1, True\\r\\n choice.chain()\\r\\n # Checks for player move, if none, checks for another move\\r\\n self.tr.board_scan_reset()\\r\\n if not self.tr.board_scan():\\r\\n return\\r\\n else:\\r\\n self.tr.board_scan_reset()\\r\\n if self.tr.board_scan():\\r\\n self.delay = frameCount\\r\\n return\\r\\n # If none, ends game\\r\\n else:\\r\\n if not self.tr.game_over:\\r\\n self.tr.board_scan_reset()\\r\\n self.tr.scanner()\\r\\n self.tr.game_over = True\\r\\n self.tr.run_game_is_over = frameCount\",\n \"def _play(self, func):\\n\\n func()\\n print('\\\\nhuman movement:\\\\n')\\n print(self._board)\\n\\n while self._board.possible() != []:\\n self._board.move_computer()\\n print('\\\\ncomputer movement:\\\\n')\\n print(self._board)\\n if self._board.check_win():\\n print('\\\\nwinner is computer')\\n return\\n\\n func()\\n print('\\\\nhuman movement:\\\\n')\\n print(self._board)\\n if self._board.check_win():\\n print('\\\\nwinner is human')\\n return\\n print('\\\\nwinner is friendship :)')\",\n \"def play_human_move(self):\\n success, info = self.gms.play_human_move(raw_input('Make your next move\\\\n'.format('')))\\n if success:\\n print(self.gms.game.get_board_state_pretty())\\n if info['status_code'] == core_constants.GAME_STATUS_HUMAN_MOVE_REQUIRED:\\n self.play_human_move()\\n elif info['status_code'] in [\\n core_constants.GAME_STATUS_OVER_DRAW,\\n core_constants.GAME_STATUS_OVER_HUMAN_WINNER,\\n core_constants.GAME_STATUS_OVER_COMP_WINNER,\\n ]:\\n print(self.gms.status_code_message_map[info['status_code']])\\n else:\\n if info['error_code'] == core_constants.ERROR_CODE_INVALID_MOVE:\\n self.play_human_move()\",\n \"def inputMove(self):\\n # Check if BoardData_update is still opended\\n self.checkOpenStatus()\\n\\n self.genDataFiles(self.player.getCurrentPieceList())\\n print(\\\"PieceRecog.exe\\\", len(self.player.getCurrentPieceList()))\\n\\n # Call the recognition function\\n os.system(\\\"PieceRecog.exe \\\" + str(len(self.player.getCurrentPieceList())))\\n\\n # Check if BoardData_update is still opended\\n self.checkOpenStatus()\\n self.player.updateData('src\\\\\\\\BoardData_update.csv')\\n self.player.getChessPieceList('src\\\\\\\\BoardData_update.csv')\\n self.pieceList = self.player.getCurrentPieceList()\\n # Update the simulation board\\n self.playGUI.drawBoard(self.player)\\n\\n check = self.setNextMove_AB()\\n\\n if check == 0:\\n return True\\n\\n else:\\n pd.DataFrame(self.player.getCurrentPieceList()).to_csv('src\\\\\\\\BoardData_update.csv', index=False)\\n print(\\\"Piecelist after Alpha beta: \\\", self.pieceList)\\n return check\",\n \"def run_game(self, board):\\n run_program = True\\n\\n while run_program:\\n # eventlistener for mouse events\\n for event in pygame.event.get():\\n if pygame.mouse.get_pressed() and event.type == pygame.MOUSEBUTTONDOWN:\\n if event.type == pygame.MOUSEBUTTONDOWN:\\n # Get position of mouse.\\n (x, y) = pygame.mouse.get_pos()\\n\\n # Set circle position in the middle of the grid_square.\\n draw_x = x - (x % self.square_size) + self.square_mid\\n\\n # Calculation to get xPosition from selected Mouse xPosition.\\n x = x // 80\\n\\n # Check if column is full before placing. Break out if that's the case.\\n if self.check_if_column_full(board, x):\\n break\\n\\n # Calculate the yPosition, where the chip should be placed with various helper methods.\\n draw_y = self.height - (self.square_size * self.draw_dict_mapping[self.get_y_pos(board, x)]) + 40\\n\\n # Check, which players turn it is.\\n if self.playerOne:\\n # Player Ones turn.\\n pos = (x, self.get_y_pos(board, x))\\n if board[pos] == 0:\\n board[pos] = 1\\n self.draw_circle(draw_x, draw_y, self.playerOne)\\n self.screen.blit(self.background, (0, 0))\\n if self.check_if_user_won(board, pos, 1):\\n run_program = False\\n self.switch_player()\\n else:\\n # Player Twos turn.\\n pos = (x, self.get_y_pos(board, x))\\n if board[pos] == 0:\\n board[pos] = 2\\n self.draw_circle(draw_x, draw_y, self.playerOne)\\n self.screen.blit(self.background, (0, 0))\\n if self.check_if_user_won(board, pos, 2):\\n run_program = False\\n self.switch_player()\\n\\n if event.type == pygame.KEYDOWN:\\n # End the game with escape.\\n if event.key == pygame.K_ESCAPE:\\n self.draw = True\\n run_program = False\\n\\n # End the Program with the X in the upper right corner.\\n elif event.type == pygame.QUIT:\\n self.draw = True\\n run_program = False\\n\\n pygame.display.flip()\\n self.game_over(self.playerOne, self.draw)\\n # wait for given time and end the game\\n pygame.time.wait(5000)\\n pygame.quit()\",\n \"def handle_keyboard_input(self):\\n keys = pg.key.get_pressed()\\n\\n if (keys[K_UP]):\\n self.grid.change_direction(Direction.up)\\n if (keys[K_DOWN]):\\n self.grid.change_direction(Direction.down)\\n if (keys[K_LEFT]):\\n self.grid.change_direction(Direction.left)\\n if (keys[K_RIGHT]):\\n self.grid.change_direction(Direction.right)\\n if (keys[K_SPACE]):\\n self.grid.snake.grow()\\n if (keys[K_RIGHTBRACKET]):\\n self.actions_per_second += 1\\n if (keys[K_LEFTBRACKET]):\\n self.actions_per_second -= 1\\n if (keys[K_t]):\\n self.is_training = True\\n print(\\\"========================================================================\\\")\\n print(\\\"Training: ON\\\")\\n print(\\\"========================================================================\\\")\\n if (keys[K_s]):\\n self.is_training = False\\n print(\\\"========================================================================\\\")\\n print(\\\"Training: OFF\\\")\\n print(\\\"========================================================================\\\")\",\n \"def main():\\n board = [\\n [' ', ' ', ' '],\\n [' ', ' ', ' '],\\n [' ', ' ', ' ']\\n ]\\n counter = 0\\n\\n while not check_victory(board):\\n # This is called the game loop. It keeps the game running until it is finished.\\n # On every iteration of the loop we check to see if a player has won.\\n\\n # Show the board to the player.\\n show_board(board)\\n\\n # Take input to add a new token.\\n board = take_input(board, OPTIONS[counter % 2])\\n\\n counter += 1\",\n \"def main():\\n board_state = [['_', '_', '_'],\\n ['_', '_', '_'],\\n ['_', '_', '_']]\\n\\n player_turn = int(input(\\\"Who goes first - select AI(0) or Human(1)? \\\").strip())\\n human_marker = input(\\\"Select marker - 'X' or 'O'? \\\").strip()\\n \\n play(board_state, player_turn, human_marker, 0)\",\n \"def next_play(self):\\n\\t\\tfor card in self.hand:\\n\\t\\t\\tif is_valid(card):\\n\\t\\t\\t\\tself.play_card(card)\\n\\t\\t\\t\\treturn card\\n\\t\\tglobal forced_rank\\n\\t\\tif forced_rank == \\\"2\\\":\\n\\t\\t\\tglobal two_multiplier\\n\\t\\t\\tself.draw(two_multiplier)\\n\\t\\t\\tprint(f\\\"{self.name} draws {str(two_multiplier)} cards.\\\")\\n\\t\\t\\ttwo_multiplier = 0\\n\\t\\t\\tforced_rank = False\\n\\t\\t\\treturn None\\n\\t\\tcard = self.draw(1)[0]\\n\\t\\tprint(self.name + \\\" draws a card.\\\")\\n\\t\\tif is_valid(card):\\n\\t\\t\\tself.play_card(card)\\n\\t\\t\\treturn card\\n\\t\\tprint(self.name + \\\" passes the turn.\\\")\",\n \"def action_key_press(key, cur_key_type, cur_key, draw, phys, msg, timer, board, force):\\n\\n\\n # delete any old mouse joints prior to dealing with the next keypress\\n if key != \\\"m\\\" and msg.message != \\\"Mouse Move\\\" and cur_key_type == 0:\\n for jn in phys.world.joints:\\n if type(jn) is b2MouseJoint:\\n phys.world.DestroyJoint(jn)\\n\\n if not key is None and key != \\\"\\\":\\n if platform == \\\"linux\\\" or platform == \\\"linux2\\\":\\n window = get_active_window_title()\\n elif platform == \\\"win32\\\":\\n window = gw.getActiveWindow().title\\n\\n if not \\\"Board\\\" in window and not \\\"Toolbar\\\" in window:\\n pass\\n else:\\n if key == 255:\\n pass\\n\\n elif key == \\\"r\\\" and cur_key_type == 0:\\n # RESET SCREEN\\n if sg.popup_yes_no(\\\"Are you sure you want to reset?\\\") == \\\"Yes\\\":\\n draw.reset()\\n msg = Messenger(phys.options[\\\"screen\\\"][\\\"fps\\\"], board)\\n msg.set_message(\\\"Reset\\\")\\n board.reset = True\\n\\n elif key == \\\"q\\\" and cur_key_type == 0:\\n # QUIT\\n msg.set_message(\\\"Quit\\\")\\n val = sg.popup_yes_no(\\\"Are you sure you want to quit?\\\")\\n if val == \\\"Yes\\\":\\n board.run = False\\n\\n\\n elif key == \\\"z\\\" and cur_key_type == 0:\\n # SPAWN\\n msg.set_message(\\\"Spawn\\\")\\n phys.create_block()\\n\\n elif key == \\\"u\\\" and cur_key_type == 0:\\n # draw delete blocks\\n draw.reset()\\n options = {\\\"Remove Joints\\\": SelectType.select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"x\\\" and cur_key_type == 0:\\n # draw delete blocks\\n draw.reset()\\n options = {\\\"Delete\\\": SelectType.select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"p\\\" and cur_key_type == 0:\\n # draw polygon\\n draw.reset()\\n # msg.set = {\\\"Dynamic Block\\\": draw.get_draw_type()}\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Dynamic Block\\\")\\n\\n elif key == \\\"g\\\" and cur_key_type == 0:\\n # draw ground\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Static Block\\\")\\n # options = {\\\"Static Block\\\": draw.get_draw_type()}\\n\\n # cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"i\\\" and cur_key_type == 0:\\n # draw terrain\\n\\n draw.reset()\\n options = {\\\"Generate Terrain\\\": SelectType.null}\\n cur_key = msg.auto_set(options, key, force)\\n\\n draw, phys, board = create_terrain(draw, phys, board=board)\\n\\n\\n elif key == \\\"f\\\" and cur_key_type == 0:\\n # draw fragments or select\\n draw.reset()\\n options = {\\n \\\"Fragment Select\\\": SelectType.select} # \\\"Fragment Poly\\\": SelectType.draw, \\\"Frament Rectangle\\\": SelectType.rectangle,\\n # \\\"Frament Select\\\": SelectType.select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n\\n elif key == \\\"1\\\" and cur_key_type == 0:\\n # fire polygon\\n draw.reset()\\n options = {\\\"Create\\\": SelectType.select_point, \\\"Fire Block\\\": SelectType.vector_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"4\\\" and cur_key_type == 0:\\n # select\\n # draw ground\\n draw.reset()\\n options = {\\\"Joint Update\\\": SelectType.select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\";\\\" and cur_key_type == 0:\\n # select\\n # draw ground\\n draw.reset()\\n options = {\\\"Player Update\\\": SelectType.select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"2\\\" and cur_key_type == 0:\\n # Mouse Move\\n draw.reset()\\n options = {\\\"Rotate\\\": SelectType.player_select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"m\\\" and cur_key_type == 0:\\n # Mouse Move\\n draw.reset()\\n options = {\\\"Mouse Move\\\": SelectType.select, \\\"Normal Move\\\": SelectType.null, \\\"Joint Move\\\": SelectType.null,\\n \\\"Clone Move\\\": SelectType.null}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"t\\\" and cur_key_type == 0:\\n # Mouse Move\\n draw.reset()\\n options = {\\\"Transform\\\": SelectType.player_select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"e\\\" and cur_key_type == 0:\\n # draw ropes\\n if sg.popup_yes_no(\\\"Are you sure you want to kill all blocks?\\\") == \\\"Yes\\\":\\n draw.reset()\\n phys.kill_all(static=False)\\n msg.set_message(\\\"Remove Blocks\\\")\\n cur_key = \\\"e\\\"\\n\\n elif key == \\\"v\\\" and cur_key_type == 0:\\n # draw ropes\\n draw.reset()\\n msg.set_message(\\\"Set Spawn\\\")\\n cur_key = \\\"v\\\"\\n\\n elif key == \\\"h\\\" and cur_key_type == 0:\\n # draw fragment ALL players\\n # cur_key = \\\"h\\\"\\n msg.set_message(\\\"Frag All\\\")\\n draw.reset()\\n blocks = [bl for bl in phys.block_list if not bl.static is True and not bl.is_terrain is True]\\n phys.fractal_block(blocks, create=False, board=board)\\n\\n elif key == \\\"k\\\" and cur_key_type == 0:\\n # draw splitter sensor\\n draw.reset()\\n\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Force\\\")\\n\\n\\n elif key == \\\"l\\\" and cur_key_type == 0:\\n # draw splitter sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Splitter\\\")\\n\\n\\n elif key == \\\"/\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Impulse\\\")\\n\\n\\n elif key == \\\"'\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Goal\\\")\\n\\n elif key == \\\"{\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Spawner\\\")\\n\\n\\n elif key == \\\"~\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Motor Switch\\\")\\n\\n elif key == \\\"&\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Water\\\")\\n\\n\\n elif key == \\\"^\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Low Gravity\\\")\\n\\n\\n elif key == \\\"#\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Gravity Switch\\\")\\n\\n elif key == \\\")\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Center\\\")\\n\\n elif key == \\\"%\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Sticky\\\")\\n\\n elif key == \\\"£\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Enlarger\\\")\\n\\n\\n elif key == \\\"$\\\" and cur_key_type == 0:\\n # draw booster sensor\\n draw.reset()\\n cur_key = key + str(draw.get_draw_type().value)\\n msg.set_message(\\\"Shrinker\\\")\\n\\n\\n elif key == \\\"0\\\" and cur_key_type == 0:\\n # pause physics\\n phys.force_draw_all = not phys.force_draw_all\\n options = {\\\"Draw All\\\": SelectType.null, \\\"Draw Set\\\": SelectType.null}\\n cur_key = msg.auto_set(options, key, force)\\n\\n\\n\\n elif key == \\\"o\\\" and cur_key_type == 0:\\n # pause physics\\n draw.reset()\\n phys.pause = not phys.pause\\n msg.set_message(\\\"Pause\\\" + (\\\" On\\\" if phys.pause is True else \\\" Off\\\"))\\n cur_key = \\\"o\\\"\\n\\n elif key == \\\"*\\\" and cur_key_type == 0:\\n # PICKLE BOARD\\n name, blurb = save_gui()\\n if not name is None:\\n pickler(timer, phys, draw, board, msg, name, blurb)\\n msg.set_message(\\\"State Saved\\\")\\n cur_key = \\\"*\\\"\\n draw.reset()\\n\\n elif key == \\\"-\\\":\\n # LOAD BOARD\\n\\n timer, phys, draw, board, msg = load_gui(timer, phys, draw, board, msg, persistant=False)\\n config = phys.config\\n\\n elif key == \\\"5\\\" and cur_key_type == 0:\\n\\n load_options()\\n phys.change_config(board=board)\\n\\n elif key == \\\"6\\\" and cur_key_type == 0:\\n\\n board, phys, msg = update_background(board, phys, msg)\\n\\n\\n elif key == \\\"j\\\" and cur_key_type == 0:\\n # draw joints\\n draw.reset()\\n options = {\\\"Merge Blocks\\\": SelectType.select,\\n \\\"Distance Joint\\\": SelectType.straight_join, \\\"Rope Joint\\\": SelectType.straight_join,\\n \\\"Prismatic Joint\\\": SelectType.straight_join,\\n \\\"Electric\\\": SelectType.line_join,\\n \\\"Chain\\\": SelectType.line_join2,\\n \\\"Weld Joint\\\": SelectType.straight_join, \\\"Wheel Joint\\\": SelectType.circle,\\n \\\"Rotation Joint\\\": SelectType.rotation_select, \\\"Pulley\\\": SelectType.d_straight_join}\\n\\n cur_key = msg.auto_set(options, key, force)\\n\\n\\n\\n elif key == \\\"tab\\\":\\n # Tab key press, this switches to move mode\\n if cur_key_type == 0:\\n cur_key_type = 1\\n msg.set_message(\\\"Drawing Mode Enabled\\\")\\n draw.reset()\\n else:\\n cur_key_type = 0\\n msg.set_message(\\\"Create Mode Enabled\\\")\\n draw.reset()\\n\\n\\n # Drawing mode buttons\\n\\n elif key == \\\"`\\\" and cur_key_type == 1:\\n # Mouse Move\\n draw.reset()\\n options = {\\\"Change Keys\\\": SelectType.select}\\n cur_key = msg.auto_set(options, key, force)\\n\\n\\n elif key == \\\"1\\\" and cur_key_type == 1:\\n # Mouse Move\\n draw.reset()\\n options = {\\\"Screen Move\\\": SelectType.null}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"2\\\" and cur_key_type == 1:\\n # Mouse Move\\n draw.reset()\\n options = {\\\"Center Clicked\\\": SelectType.null}\\n cur_key = msg.auto_set(options, key, force)\\n\\n\\n elif key == \\\"]\\\" and cur_key_type == 1:\\n # draw polygon\\n draw.reset()\\n options = {\\\"Fire Bullet\\\": SelectType.bullet_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"[\\\" and cur_key_type == 1:\\n # draw polygon\\n draw.reset()\\n options = {\\\"Choose Player\\\": SelectType.null}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"3\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n options = {\\\"Motor Forwards\\\": SelectType.vector_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"4\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n options = {\\\"Motor Backwards\\\": SelectType.vector_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"9\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n cur_key = key + str(SelectType.vector_direction.value)\\n msg.set_message(\\\"Force\\\")\\n\\n elif key == \\\"0\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n options = {\\\"Relative Force\\\": SelectType.vector_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"5\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n options = {\\\"Rotate CCW\\\": SelectType.vector_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"6\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n options = {\\\"Rotate CW\\\": SelectType.vector_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"7\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n cur_key = key + str(SelectType.vector_direction.value)\\n msg.set_message(\\\"Impulse\\\")\\n\\n\\n elif key == \\\"8\\\" and cur_key_type == 1:\\n # draw polygon\\n\\n draw.reset()\\n options = {\\\"Relative Impulse\\\": SelectType.vector_direction}\\n cur_key = msg.auto_set(options, key, force)\\n\\n elif key == \\\"!\\\" and cur_key_type == 1:\\n \\\"\\\"\\\"\\n Used to attach an relative impulse to a block\\n \\\"\\\"\\\"\\n board.translation = np.array([0, 0])\\n\\n # do move keypresses:\\n if cur_key_type == 1:\\n phys.do_keypress(key)\\n\\n return cur_key_type, cur_key, draw, phys, msg, timer, board\",\n \"def play(self):\\n for step_i in range(self.max_step):\\n player_id = step_i & 1\\n player = self.players[player_id]\\n action = player.nxt_move()\\n if isinstance(player, mcts.MCTSPlayer) and player.value_net.loggable:\\n print(f'Player{player_id}: Action: {action}')\\n if not self.is_valid_action(action):\\n # because now just consider 2 players\\n print(f\\\"Player: {player_id}, Action: {action} Did Not choose a valid action!\\\")\\n self.board[action // self.w][action % self.w] = player_id\\n self.winner = 1 - player_id\\n else:\\n self.board[action // self.w][action % self.w] = player_id\\n self.winner = self.k0()\\n self.players[1 - player_id].other_nxt_move(action)\\n if self.winner != -1:\\n break\\n print(f'Winner: {self.winner}')\\n for player_id in range(len(self.players)):\\n self.players[player_id].game_ended()\",\n \"def user_input(self):\\n\\n # Above, we set the timeout of getch() on entryscreen to 500ms. That means\\n # that the invalid character (-1) is returned every 500 ms if the user\\n # enters nothing, and our validator is called. We take this opportunity to\\n # relese the curses lock so any other threads (e.g. the message handling\\n # thread) have a chance to update the screen. Additionally, we call\\n # update() so that any other changes are picked up. We raise _StoppedError\\n # to get out of the surrounding loop in edit() so that we can exit this\\n # function cleanly and without hijacking any other exceptions (such as\\n # KeyboardInterrupt).\\n\\n class _StoppedError(Exception):\\n pass\\n\\n def validator(ch):\\n if ch == curses.KEY_RESIZE:\\n self.chatscreen.clear()\\n (y, x) = self.global_screen.getmaxyx()\\n curses.resizeterm(y, x)\\n self.chatscreen.resize(y-Chat.CHATBOX_SIZE, x)\\n self.entryscreen.mvwin(y-Chat.CHATBOX_SIZE, 0)\\n self.update()\\n return None\\n try:\\n self.curses_lock.release()\\n if not self.running:\\n raise _StoppedError\\n self.update() # has anything changed?\\n if ch < 0:\\n return None\\n return ch\\n finally:\\n self.curses_lock.acquire()\\n\\n try:\\n self.curses_lock.acquire()\\n cmd = self.textpad.edit(validator)\\n self.entryscreen.clear()\\n except _StoppedError:\\n return ''\\n finally:\\n self.curses_lock.release()\\n\\n # strip the newlines out of the middle of the words\\n cmd = string.replace(cmd, '\\\\n', '')\\n\\n # remove unprintable characters\\n cmd = (''.join(c if c in string.printable else '' for c in cmd)).strip()\\n\\n # process commands if necessary\\n if cmd.startswith('/'):\\n words = cmd.split()\\n cmdname = words[0][1:]\\n args = words[1:]\\n\\n if cmdname in self.commands:\\n try:\\n self.commands[cmdname](*args)\\n except CommandError as e:\\n self.message('System:', 'Problem executing command: ' + str(e))\\n except TypeError as e:\\n self.message('System:', str(e))\\n else:\\n self.message('System:', 'Unknown command: '+cmdname)\\n else:\\n # it's not a cmd so it must be a message to send\\n self.q.put(cmd)\\n self.update()\",\n \"def move(self,board,n,display):\\n\\n\\t\\tmove = False\\n\\t\\tgoodInput = False\\n\\t\\tn = 0\\n\\n\\t\\twhile not goodInput:\\n\\t\\t\\tpygame.time.wait(10)\\n\\t\\t\\tdisplay.displayBoard()\\n\\t\\t\\tmove = display.getMove()\\n\\n\\t\\t\\tif move == \\\"End Preset\\\":\\n\\t\\t\\t\\treturn move\\n\\n\\t\\t\\tif move and tuple(move) in board.openPoints():\\n\\t\\t\\t\\tgoodInput = True\\n\\t\\t\\telif move:\\n\\t\\t\\t\\tprint \\\"Bad input, try again!\\\"\\n\\n\\t\\t\\tn += 1\\n\\n\\t\\treturn move\",\n \"def host_game(self):\\n current_side = \\\"X\\\"\\n while ( (not self.win_for(\\\"X\\\"))\\n and (not self.win_for(\\\"O\\\"))\\n and (not self.is_full())):\\n print()\\n print(self)\\n print()\\n move = Board.INVALID_MOVE\\n while not self.allows_move(move):\\n move = int(input(current_side + \\\"'s move: \\\"))\\n self.add_move(move, current_side)\\n if current_side == \\\"X\\\":\\n current_side = \\\"O\\\"\\n else:\\n current_side = \\\"X\\\"\\n\\n if self.win_for(\\\"X\\\"):\\n print(\\\"X wins --- congratulations!\\\\n\\\")\\n elif self.win_for(\\\"O\\\"):\\n print(\\\"O wins --- congratulations!\\\\n\\\")\\n else:\\n print(\\\"Tied game!\\\\n\\\")\\n\\n print()\\n print(self)\",\n \"def human_expert(_obs):\\n\\n while True:\\n env.render()\\n print_play_keys(env.action_str)\\n time.sleep(0.2)\\n key_pressed = keyboard.read_key()\\n # return index of action if valid key is pressed\\n if key_pressed:\\n if key_pressed in KEY_ACTION_DICT:\\n return KEY_ACTION_DICT[key_pressed]\\n elif key_pressed == \\\"esc\\\":\\n print(\\\"You pressed esc, exiting!!\\\")\\n break\\n else:\\n print(\\\"You pressed wrong key. Press Esc key to exit, OR:\\\")\",\n \"def input(self, event):\\n # If the window is quit.\\n if event.type == pygame.QUIT:\\n # Exit the game.\\n return 0\\n\\n # If escape is hit.\\n if (\\n event.type == pygame.QUIT\\n or event.type == pygame.KEYDOWN\\n and event.key == pygame.K_ESCAPE\\n ):\\n # Return to the menu.\\n return 1\\n\\n # If SPACE is hit.\\n if event.type == pygame.KEYDOWN and event.key == pygame.K_SPACE:\\n # If the player can move\\n if self.background1.getMoving():\\n # Jump sound effect.\\n self.jumpSound.play()\\n # Make the player jump.\\n self.player.jump()\\n\\n # If game end.\\n if self.gameEnd:\\n # If the exit button is pressed.\\n if self.exitButton.input(event):\\n return 1\\n # If the exit button is pressed.\\n if self.retryButton.input(event):\\n self.reset()\\n\\n # Continue the game.\\n return 2\",\n \"def main():\\n \\n is_white_move = True\\n board = initial_state()\\n print_board(board)\\n \\n while True:\\n if is_white_move == True:\\n print()\\n result = str(input(\\\"White's move: \\\"))\\n else:\\n print()\\n result = str(input(\\\"Black's move: \\\"))\\n\\n if result == 'h' or result == 'H':\\n print(HELP_MESSAGE)\\n print_board(board)\\n elif result == 'q' or result == 'Q':\\n confirm_quit = str(input(\\\"Are you sure you want to quit? \\\"))\\n if confirm_quit == 'y' or confirm_quit == \\\"Y\\\":\\n break\\n else:\\n print_board(board) \\n\\n else:\\n if valid_move_format(result) == False:\\n print('Invalid move')\\n print()\\n print_board(board)\\n else:\\n move = process_move(result)\\n if is_move_valid(move, board, is_white_move): \\n board = update_board(board, move)\\n print_board(board)\\n is_white_move = not is_white_move\\n if check_game_over(board, is_white_move):\\n break\\n else:\\n print('Invalid move')\\n print()\\n print_board(board)\",\n \"def receive_play(current_player, marks, board_state):\\n valid_answer = False\\n while not valid_answer:\\n current_play = input(\\n \\\"{}, choose a square (1-9) to place your {}. \\\".format(current_player, marks[current_player]))\\n valid_answer = check_inputs(filter_occupied(board_state), current_play)\\n if valid_answer:\\n current_play = int(current_play)\\n board_state[current_play - 1] = marks[current_player]\\n return board_state\",\n \"def play(state, player_turn, human_marker, depth):\\n alpha = -10\\n beta = 10\\n while True:\\n draw_board(state)\\n marker = is_terminal(state)\\n\\n if marker is not None:\\n if marker == 'X':\\n print(\\\"The winner is 'X'!\\\")\\n elif marker == 'O':\\n print(\\\"The winner is 'O'!\\\")\\n else:\\n print(\\\"The game ended in a tie!\\\")\\n return\\n\\n # Presumably AI's turn.\\n if player_turn == 0:\\n ai_marker = 'X' if human_marker == 'O' else 'O'\\n if ai_marker == 'X':\\n value, move = max_value(state, ai_marker, depth, alpha, beta)[:2]\\n else:\\n value, move = min_value(state, ai_marker, depth, alpha, beta)[:2]\\n depth = depth + 1\\n state[move[0]][move[1]] = ai_marker\\n player_turn = 1\\n\\n # Presumably human player's turn.\\n else:\\n move = list(map(int, input('Enter your move: ').strip('[]').split(',')))\\n while not is_valid_move(state, move):\\n move = list(map(int, input('Enter your move: ').strip('[]').split(',')))\\n\\n state[move[0]-1][move[1]-1] = human_marker\\n depth = depth + 1\\n player_turn = 0\",\n \"def next_turn(self): \\n if (self.moves):\\n self.board = self.select_move() \\n self.moves = []\\n self.roll = self.roll_dice()\\n self.player = not self.player\\n self.generate_valid_moves()\",\n \"def run_game():\\n mainBoard = get_new_board()\\n resetBoard(mainBoard)\\n showHints = False\\n\\n turn = random.choice(['computer', 'player'])\\n\\n # Draw the starting board and ask the player what color they want.\\n draw_board(mainBoard)\\n\\n playerTile, computer_tile = enter_player_tile()\\n # Make the Surface and Rect objects for the \\\"New Game\\\" and \\\"Hints\\\" buttons\\n\\n newGameSurf = FONT.render('New Game', True, TEXTCOLOR, TEXTBGCOLOR2)\\n newGameRect = newGameSurf.get_rect()\\n newGameRect.topright = (WINDOWWIDTH - 8, 10)\\n\\n hintsSurf = FONT.render('Hints', True, TEXTCOLOR, TEXTBGCOLOR2)\\n hintsRect = hintsSurf.get_rect()\\n hintsRect.topright = (WINDOWWIDTH - 8, 40)\\n\\n while True: # main game loop\\n # Keep looping for player and computer's turns.\\n if turn == 'player':\\n # Player's turn:\\n if get_valid_moves(mainBoard, playerTile) == []:\\n # If it's the player's turn but they\\n # can't move, then end the game.\\n break\\n\\n movexy = None\\n\\n while movexy == None:\\n # Keep looping until the player clicks on a valid space.\\n # Determine which board data structure to use for display.\\n if showHints:\\n boardToDraw = get_board_with_valid_moves(mainBoard, playerTile)\\n else:\\n boardToDraw = mainBoard\\n\\n check_for_quit()\\n for event in pygame.event.get(): # event handling loop\\n if event.type == MOUSEBUTTONUP:\\n # Handle mouse click events\\n mousex, mousey = event.pos\\n if newGameRect.collide_point((mousex, mousey)):\\n # Start a new game\\n return True\\n elif hintsRect.collide_point((mousex, mousey)):\\n # Toggle hints mode\\n showHints = not showHints\\n # movexy is set to a two-item tuple XY coordinate, or None value\\n movexy = get_space_clicked(mousex, mousey)\\n\\n if movexy != None and not isValidMove(mainBoard, playerTile, movexy[0], movexy[1]):\\n movexy = None\\n\\n # Draw the game board.\\n draw_board(boardToDraw)\\n draw_info(boardToDraw, playerTile, computer_tile, turn)\\n\\n # Draw the \\\"New Game\\\" and \\\"Hints\\\" buttons.\\n DISPLAYSURF.blit(newGameSurf, newGameRect)\\n DISPLAYSURF.blit(hintsSurf, hintsRect)\\n\\n MAINCLOCK.tick(FPS)\\n pygame.display.update()\\n\\n # Make the move and end the turn.\\n make_move(mainBoard, playerTile, movexy[0], movexy[1], True)\\n if get_valid_moves(mainBoard, computer_tile) != []:\\n # Only set for the computer's turn if it can make a move.\\n turn = 'computer'\\n else:\\n # Computer's turn:\\n if get_valid_moves(mainBoard, computer_tile) == []:\\n # If it was set to be the computer's turn but\\n # they can't move, then end the game.\\n break\\n\\n # Draw the board.\\n draw_board(mainBoard)\\n draw_info(mainBoard, playerTile, computer_tile, turn)\\n\\n # Draw the \\\"New Game\\\" and \\\"Hints\\\" buttons.\\n DISPLAYSURF.blit(newGameSurf, newGameRect)\\n DISPLAYSURF.blit(hintsSurf, hintsRect)\\n\\n # Make it look like the computer is thinking by pausing a bit.\\n pauseUntil = time.time() + random.randint(5, 15) * 0.1\\n\\n while time.time() < pauseUntil:\\n pygame.display.update()\\n\\n # Make the move and end the turn.\\n x, y = get_computer_move(mainBoard, computer_tile)\\n make_move(mainBoard, computer_tile, x, y, True)\\n\\n if get_valid_moves(mainBoard, playerTile) != []:\\n # Only set for the player's turn if they can make a move.\\n turn = 'player'\\n\\n # Display the final score.\\n draw_board(mainBoard)\\n scores = get_score_of_board(mainBoard)\\n # Determine the text of the message to display.\\n\\n if scores[playerTile] > scores[computer_tile]:\\n text = 'You beat the computer by %s points! Congratulations!' % \\\\\\n (scores[playerTile] - scores[computer_tile])\\n elif scores[playerTile] < scores[computer_tile]:\\n text = 'You lost. The computer beat you by %s points.' % \\\\\\n (scores[computer_tile] - scores[playerTile])\\n else:\\n text = 'The game was a tie!'\\n\\n textSurf = FONT.render(text, True, TEXTCOLOR, TEXTBGCOLOR1)\\n textRect = textSurf.get_rect()\\n textRect.center = (int(WINDOWWIDTH / 2), int(WINDOWHEIGHT / 2))\\n DISPLAYSURF.blit(textSurf, textRect)\\n\\n # Display the \\\"Play again?\\\" text with Yes and No buttons.\\n text2Surf = BIGFONT.render('Play again?', True, TEXTCOLOR, TEXTBGCOLOR1)\\n text2Rect = text2Surf.get_rect()\\n text2Rect.center = (int(WINDOWWIDTH / 2), int(WINDOWHEIGHT / 2) + 50)\\n\\n # Make \\\"Yes\\\" button.\\n yesSurf = BIGFONT.render('Yes', True, TEXTCOLOR, TEXTBGCOLOR1)\\n yesRect = yesSurf.get_rect()\\n yesRect.center = (int(WINDOWWIDTH / 2) - 60, int(WINDOWHEIGHT / 2) + 90)\\n\\n # Make \\\"No\\\" button.\\n noSurf = BIGFONT.render('No', True, TEXTCOLOR, TEXTBGCOLOR1)\\n noRect = noSurf.get_rect()\\n noRect.center = (int(WINDOWWIDTH / 2) + 60, int(WINDOWHEIGHT / 2) + 90)\\n\\n while True:\\n # Process events until the user clicks on Yes or No.\\n check_for_quit()\\n\\n for event in pygame.event.get(): # event handling loop\\n if event.type == MOUSEBUTTONUP:\\n mousex, mousey = event.pos\\n\\n if yesRect.collide_point((mousex, mousey)):\\n return True\\n\\n elif noRect.collide_point((mousex, mousey)):\\n return False\\n\\n DISPLAYSURF.blit(textSurf, textRect)\\n DISPLAYSURF.blit(text2Surf, text2Rect)\\n DISPLAYSURF.blit(yesSurf, yesRect)\\n DISPLAYSURF.blit(noSurf, noRect)\\n\\n pygame.display.update()\\n MAINCLOCK.tick(FPS)\",\n \"def human(gstate: TicTacToe, *args):\\n return input_with_validation(\\\"Please enter move.\\\", list(gstate.next_moves.keys()))\",\n \"def play_game(word_list):\\n hand = None\\n while True:\\n game_type = raw_input('Please choose from the following: n(new random hand), r(last hand) or e(exit the game):')\\n if game_type == 'n':\\n hand = deal_hand(HAND_SIZE)\\n player_type = raw_input('Please choose from the following: u(user can play) or c(computer can play):')\\n if player_type == 'u':\\n play_hand(hand, word_list)\\n elif player_type == 'c':\\n comp_play_hand(hand, word_list)\\n else: \\n player_type = raw_input('Incorrect input. Please choose from the following: u(user can play) or c(computer can play):')\\n elif game_type == 'r' and hand == None:\\n print 'Incorrect input. Please first choose n.'\\n elif game_type == 'r':\\n player_type = raw_input('Please choose from the following: u(user can play) or c(computer can play):')\\n if player_type == 'u':\\n play_hand(hand, word_list)\\n elif player_type == 'c':\\n comp_play_hand(hand, word_list)\\n else: \\n player_type = raw_input('Incorrect input. Please choose from the following: u(user can play) or c(computer can play):') \\n elif game_type == 'e':\\n print \\\"Exited the game.\\\"\\n break\\n else: \\n print 'Incorrect input.'\",\n \"def advance(self, board):\",\n \"def play_turn(self, player):\\n input('Play turn...')\\n print(f'{player.name} to play...\\\\n')\\n \\n if isinstance(player, ComputerPlayer):\\n print('Thinking...')\\n time.sleep(1)\\n row, col = player.algorithm(self.board)\\n self.board.play(row, col, player.token) # algorithms index from (0,0) - so adjust this to (1,1) etc \\n else:\\n print(self.board)\\n while True:\\n usr_input = input(f'{player.name}, enter a move: ')\\n \\n if usr_input.lower() == 'exit':\\n print(f'{player.name} exited!')\\n self.exit_flag = True\\n return\\n\\n if usr_input.lower() == 'skip':\\n print(f'{player.name} has skipped their go!')\\n return\\n\\n row, col = [int(i) for i in usr_input.split(' ')]\\n try:\\n self.board.play(row - 1, col - 1, player.token) # index top-left corner as (1,1) in player input, vs (0,0) everywhere else\\n except IndexError as e:\\n print(str(e), 'Play a different position.')\\n else:\\n break\\n print(f'{player.name} played: ({row + 1}, {col + 1})\\\\n')\\n print(self.board)\",\n \"def next_action():\\n while True:\\n next = input('Enter Q to quit programme. M to return to main menu \\\\n')\\n if next.lower() == 'q':\\n logout()\\n elif next.lower() == 'm':\\n hr_main()\\n is_invalid()\",\n \"def get_input(self):\\n result = None\\n\\n try:\\n while True:\\n result = self.console.read_for_condition(prompt=\\\">>> \\\", condition=self.is_valid_input)\\n\\n if result is not None:\\n break\\n except KeyboardInterrupt:\\n quit()\\n\\n # run command for next condition\\n self.game_branch[result]()\",\n \"def _handleInput(self):\\n\\n Game.Player.running(Game.ControlState[Game.MoveRight], not (Game.ControlState[Game.MoveRight] == Game.ControlState[Game.MoveLeft]))\\n Game.Player.jumping(Game.ControlState[Game.Jump])\\n Game.Player.flying(Game.ControlState[Game.Fly])\\n Game.Player.firing(Game.ControlState[Game.Fire])\",\n \"def control(self):\\n while not (self.game_over() or self.quit):\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n self.quit = True\\n elif event.type == pygame.KEYDOWN:\\n if event.key == pygame.K_r:\\n self.play()\\n elif event.key == pygame.K_m:\\n self.__init__()\\n elif event.key == pygame.K_LEFT and len(self.sequence)>=2:\\n self.sequence.pop()\\n self.board = self.sequence.pop()\\n self.draw()\\n elif event.key == pygame.K_1:\\n self.tip(1)\\n elif event.key == pygame.K_2:\\n self.tip(2)\\n elif event.key == pygame.K_3:\\n self.tip(3)\\n elif event.key == pygame.K_4:\\n self.tip(4)\\n elif event.key == pygame.K_5:\\n self.tip(5)\\n \\n elif event.type == pygame.MOUSEBUTTONDOWN and event.button == 1:\\n ## if mouse is pressed get position of cursor ##\\n pos = pygame.mouse.get_pos()\\n ## check if cursor is on button ##\\n for i in range(len(self.buttons)):\\n for j in range(len(self.buttons[i])):\\n if self.buttons[i][j].collidepoint(pos):\\n if self.selected == None:\\n self.selected = [i,j]\\n elif self.selected == [i,j]:\\n self.selected = None\\n elif self.board[self.selected[0]][self.selected[1]]==0:\\n self.selected = [i,j]\\n else:\\n if self.move(i,j):\\n self.selected = None\\n self.draw()\\n return True\\n else:\\n self.selected = None\\n self.draw()\\n return False\\n self.draw()\\n return False\",\n \"def main():\\r\\n clean()\\r\\n h_choice = '2' # \\r\\n c_choice = '1' # \\r\\n first = '' # if human is the first\\r\\n\\r\\n # Human may starts first\\r\\n clean()\\r\\n while first != 'Y' and first != 'N':\\r\\n try:\\r\\n print(\\\" $$\\\\ $$\\\\ $$$$$$\\\\ $$$$$$$\\\\ $$$$$$$\\\\ $$$$$$$$\\\\ $$$$$$$\\\\ $$$$$$\\\\ \\\") \\r\\n print(\\\" $$ | $$ |$$ __$$\\\\ $$ __$$\\\\ $$ __$$\\\\ $$ _____|$$ __$$\\\\ $$ __$$\\\\ \\\")\\r\\n print(\\\" $$ | $$ |$$ / $$ |$$ | $$ |$$ | $$ |$$ | $$ | $$ |$$ / \\\\__|\\\")\\r\\n print(\\\" $$$$$$$$ |$$ | $$ |$$$$$$$ |$$$$$$$ |$$$$$\\\\ $$$$$$$ |\\\\$$$$$$\\\\ \\\")\\r\\n print(\\\" $$ __$$ |$$ | $$ |$$ ____/ $$ ____/ $$ __| $$ __$$< \\\\____$$\\\\ \\\")\\r\\n print(\\\" $$ | $$ |$$ | $$ |$$ | $$ | $$ | $$ | $$ |$$\\\\ $$ |\\\")\\r\\n print(\\\" $$ | $$ | $$$$$$ |$$ | $$ | $$$$$$$$\\\\ $$ | $$ |\\\\$$$$$$ |\\\")\\r\\n print(\\\" \\\\__| \\\\__| \\\\______/ \\\\__| \\\\__| \\\\________|\\\\__| \\\\__| \\\\______/ \\\") \\r\\n \\r\\n first = input('First to start?[y/n]: ').upper()\\r\\n except (EOFError, KeyboardInterrupt):\\r\\n print('Bye')\\r\\n exit()\\r\\n except (KeyError, ValueError):\\r\\n print('Bad choice')\\r\\n\\r\\n # Main loop of this game\\r\\n while len(empty_cells(board)) > 0 and not game_over(board):\\r\\n \\r\\n if first == 'N':\\r\\n print(\\\"Step\\\")\\r\\n xi = int (input(\\\"Initial row COMP(0-9): \\\"))\\r\\n yi = int (input(\\\"Initial column COMP(0-9): \\\"))\\r\\n ai_turn(c_choice, h_choice, xi, yi)\\r\\n first = ''\\r\\n render(board, c_choice, h_choice)\\r\\n print(\\\"Hope\\\")\\r\\n xi = int (input(\\\"Initial row HUMAN(0-9): \\\"))\\r\\n yi = int (input(\\\"Initial column HUMAN(0-9): \\\"))\\r\\n human_turn(c_choice, h_choice,xi,yi)\\r\\n render(board, c_choice, h_choice)\\r\\n xi = int (input(\\\"Initial row COMP(0-9): \\\"))\\r\\n yi = int (input(\\\"Initial column COMP(0-9): \\\"))\\r\\n ai_turn(c_choice, h_choice, xi, yi)\\r\\n\\r\\n # Game over message\\r\\n if wins(board, HUMAN):\\r\\n clean()\\r\\n print(f'Human turn [{h_choice}]')\\r\\n render(board, c_choice, h_choice)\\r\\n print('YOU WIN!')\\r\\n elif wins(board, COMP):\\r\\n clean()\\r\\n print(f'Computer turn [{c_choice}]')\\r\\n render(board, c_choice, h_choice)\\r\\n print('YOU LOSE!')\\r\\n else:\\r\\n clean()\\r\\n render(board, c_choice, h_choice)\\r\\n print('DRAW!')\\r\\n\\r\\n exit()\",\n \"def prompt_player(self):\\n board = self.draw_board()\\n print board\\n self.player_moves(self.board_values)\",\n \"def play_game() -> None:\\n board = tuple(tuple(0 for _ in range(i, i + 16))\\n for i in range(0, 64, 16))\\n state = GameState(board, 1)\\n while state.util is None:\\n # human move\\n print(state.display)\\n state = state.traverse(int(input(\\\"Move: \\\")))\\n if state.util is not None:\\n break\\n # computer move\\n find_best_move(state)\\n move = (state.selected if state.selected != -1\\n else random.choice(state.moves))\\n state = state.traverse(move)\\n print(state.display)\\n if state.util == 0:\\n print(\\\"Tie Game\\\")\\n else:\\n print(f\\\"Player {state.util} Wins!\\\")\",\n \"def run_game(self):\\n n = 1\\n while self._run:\\n # lock Framerate\\n self._clock.tick(self._fps)\\n # Process Input\\n self._map.drawmap(self._screen)\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n self._run = False\\n if (event.type == pygame.KEYDOWN):\\n print(\\\"KeyDown\\\")\\n if (event.key == pygame.K_SPACE):\\n print(\\\"KeySpace\\\")\\n self.move_to_next_turn()\\n\\n \\\"\\\"\\\"\\n All Test Code\\n \\\"\\\"\\\"\\n if (self._player_turn == 1 and n == 1):\\n self._screen.blit(self._core_deck.draw_deck(), (105, 130))\\n for player in self._player_list:\\n self._screen.blit(self._core_deck.draw_deck(), (105, 130))\\n for player in self._player_list:\\n print(player._name)\\n player.show_hand()\\n print(\\\"Deck: \\\\n\\\")\\n self._core_deck.print_deck()\\n print(self._player_list[0]._name)\\n print(\\\"Playing a card...\\\")\\n self._core_deck.go_to_graveyard(self._player_list[0].play_card(1))\\n print(\\\"The hand:\\\")\\n self._player_list[0].show_hand()\\n print(\\\"Main Deck:\\\")\\n self._core_deck.print_deck()\\n print(\\\"Graveyard:\\\")\\n self._core_deck.show_graveyard()\\n for player in self._player_list:\\n print(player._name)\\n player.print_units()\\n n = 2\\n pygame.display.update()\",\n \"def start():\\n boards = [Board(board_size, number_of_game_pieces, 1), Board(board_size, number_of_game_pieces, 2)]\\n gameover = False\\n quitgame = False\\n i = 1\\n while not gameover:\\n coords_accepted = False\\n while not coords_accepted:\\n inp = input(\\n f\\\"Player {boards[(i + 1) % 2].player_id}, what is the coordinate you're targeting (row,column,layer)?\\\")\\n if inp == \\\"show\\\":\\n print(boards[(i + 1) % 2])\\n continue\\n elif inp == \\\"quit\\\":\\n quitgame = True\\n break\\n elif boards[i].test_coords_valid(inp):\\n coords_accepted = True\\n else:\\n print(\\\"Invalid coordinates. \\\")\\n if quitgame:\\n print(\\\"Quitting game\\\")\\n break\\n x, y, z = eval(inp)\\n gameover = boards[i].strike(x, y, z)\\n if gameover:\\n print(f\\\"Game over, player #{boards[(i + 1) % 2].player_id} won!\\\")\\n i = (i + 1) % 2\",\n \"def game():\\n board = create_board(8)\\n character = create_character()\\n reached_goal = False\\n while not reached_goal:\\n display_position(board, character)\\n direction = input(\\\"Please enter a key in 'wasd' to move that direction. You cannot move pass the edge of the \\\"\\n \\\"map.\\\")\\n if validate_move(board, character, direction):\\n move_character(direction, character)\\n reached_goal = is_win(character, board)\\n else:\\n print(\\\"Please select a valid input. Enter a wasd key and do not move past the walls!\\\")\\n display_position(board, character)\\n print(\\\"You win!\\\")\",\n \"def main():\\n # each square in the board is assigned a label (1a-3c)\\n board_values = deepcopy(c.INITIAL_BOARD_VALUES)\\n\\n print_welcome_message(board_values)\\n\\n winner = None\\n current_player = None\\n while winner is None:\\n # current player is either \\\"X\\\" or \\\"O\\\"\\n current_player = get_next_player(current_player)\\n\\n # ask the current player to choose a square\\n chosen_square = get_next_move(current_player, board_values)\\n\\n # update the board, show it, and check for a winner or a full board\\n board_values[chosen_square] = current_player\\n print_board(board_values)\\n winner = get_winner(board_values)\\n\\n print(get_final_message(winner))\",\n \"def we_move(self):\\n if self.player_squares.__len__() == 0:\\n print \\\"This is the first move!\\\"\\n self.record_move(self.our_squares, self.our_symbol, 5)\\n self.finish_move(self.our_symbol, self.our_squares)\\n else:\\n print \\\"This is not the first move.\\\"\\n # See where we should move next\\n # Take square 5 if it's open\\n if self.is_square_free(5):\\n print \\\"Taking square 5.\\\"\\n self.record_move(self.our_squares, self.our_symbol, 5)\\n self.finish_move(self.our_symbol, self.our_squares)\\n else:\\n # See if the player is about to win\\n print \\\"Square 5 is gone. Picking another.\\\"\\n for win in TicTacToe.wins:\\n print \\\"Testing winning combos for player.\\\"\\n win_count = 0\\n win_matches = []\\n win_misses = []\\n for i in win:\\n if i in self.player_squares:\\n print \\\"square %d is in win\\\" % i\\n win_count += 1\\n win_matches.append(i)\\n elif i not in self.our_squares:\\n win_misses.append(i)\\n print \\\"win_count is %s\\\" % win_count\\n if win_count == 2 and win_misses.__len__() > 0:\\n print \\\"Uh-oh! Looks like the player might win soon.\\\"\\n print \\\"win is %s\\\" % win\\n print \\\"win_matches is %s\\\" % win_matches\\n print \\\"win_misses is %s\\\" % win_misses[0]\\n self.record_move(self.our_squares, self.our_symbol, win_misses[0])\\n self.finish_move(self.our_symbol, self.our_squares)\\n return\\n # Try to block based on the player's last move\\n if self.players_last_move == 1:\\n if self.is_square_free(2):\\n self.record_move(self.our_squares, self.our_symbol, 2)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(4):\\n self.record_move(self.our_squares, self.our_symbol, 4)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(3):\\n self.record_move(self.our_squares, self.our_symbol, 3)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(7):\\n self.record_move(self.our_squares, self.our_symbol, 7)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.players_last_move == 3:\\n if self.is_square_free(2):\\n self.record_move(self.our_squares, self.our_symbol, 2)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(6):\\n self.record_move(self.our_squares, self.our_symbol, 6)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(9):\\n self.record_move(self.our_squares, self.our_symbol, 9)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(1):\\n self.record_move(self.our_squares, self.our_symbol, 1)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.players_last_move == 9:\\n if self.is_square_free(6):\\n self.record_move(self.our_squares, self.our_symbol, 6)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(8):\\n self.record_move(self.our_squares, self.our_symbol, 8)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(3):\\n self.record_move(self.our_squares, self.our_symbol, 3)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(7):\\n self.record_move(self.our_squares, self.our_symbol, 7)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.players_last_move == 7:\\n if self.is_square_free(8):\\n self.record_move(self.our_squares, self.our_symbol, 8)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(4):\\n self.record_move(self.our_squares, self.our_symbol, 4)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(9):\\n self.record_move(self.our_squares, self.our_symbol, 9)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(1):\\n self.record_move(self.our_squares, self.our_symbol, 1)\\n self.finish_move(self.our_symbol, self.our_squares)\\n # No fancy logic here!\\n elif self.is_square_free(1):\\n self.record_move(self.our_squares, self.our_symbol, 1)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(3):\\n self.record_move(self.our_squares, self.our_symbol, 3)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(9):\\n self.record_move(self.our_squares, self.our_symbol, 9)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(7):\\n self.record_move(self.our_squares, self.our_symbol, 7)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(2):\\n self.record_move(self.our_squares, self.our_symbol, 2)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(6):\\n self.record_move(self.our_squares, self.our_symbol, 6)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(8):\\n self.record_move(self.our_squares, self.our_symbol, 8)\\n self.finish_move(self.our_symbol, self.our_squares)\\n elif self.is_square_free(4):\\n self.record_move(self.our_squares, self.our_symbol, 4)\\n self.finish_move(self.our_symbol, self.our_squares)\",\n \"def play():\\n global done\\n done = False\\n g = Game()\\n turn = random.choice([PLAYER, AI])\\n transitions_agent = []\\n agent.epsilon = agent.eps_min\\n while done == False:\\n g.printBoard()\\n if turn == PLAYER:\\n row = input('{}\\\\'s turn:'.format('Red'))\\n g.insert(int(row), PLAYER_PIECE)\\n else:\\n observation = []\\n for sublist in g.board:\\n for i in sublist:\\n observation.append(i)\\n observation = np.asarray(observation)\\n action = agent.choose_action(observation)\\n if g.check_if_action_valid(action):\\n print('{}\\\\'s turn: %d'.format('Yellow') % action)\\n g.insert(action, AI_PIECE)\\n else:\\n while g.check_if_action_valid(action) == False:\\n agent.store_transition(observation, action, -100, observation, done)\\n action = action = np.random.randint(7)\\n print('{}\\\\'s turn: %d'.format('Yellow') % action)\\n g.insert(action, AI_PIECE)\\n observation_ = []\\n for sublist in g.board:\\n for i in sublist:\\n observation_.append(i)\\n observation_ = np.asarray(observation_)\\n transitions_agent += [(observation, action, observation_, done)]\\n turn = AI if turn == PLAYER else PLAYER\\n winner = AI if turn == PLAYER else PLAYER\\n if winner == AI:\\n reward = 20\\n else:\\n reward = -20\\n for i in range(len(transitions_agent)):\\n agent.store_transition(transitions_agent[i][0], transitions_agent[i][1], reward, transitions_agent[i][2],\\n transitions_agent[i][3])\\n agent.learn()\\n return\",\n \"def next_move(board, player):\\n \\n move_row = \\\"move\\\"\\n move_column = \\\"move\\\"\\n\\n while not move_row.isnumeric():\\n move_row = input(\\\"{}, pick row to place your {}. > \\\".format(player.name, player.char))\\n while not move_column.isnumeric(): \\n move_column = input(\\\"Pick column in row {} to place your {}. > \\\".format(move_row, player.char))\\n\\n move_row = int(move_row)\\n move_column = int(move_column)\\n\\n move = Move(player, (move_row, move_column))\\n \\n # Check if move is out of bounds\\n if (move_row >= len(board.current_board) or\\n move_column >= len(board.current_board)):\\n print(\\\"Move out of bounds. Choose a valid move.\\\")\\n return board\\n\\n # Check if space is already used\\n if board.current_board[move_row][move_column] != \\\"-\\\":\\n print(\\\"Spot already played. Pick an unused space.\\\")\\n return board\\n\\n board.last_move = player.name\\n board.add_move(move)\\n\\n return board\",\n \"def play_move(self,state):\\n #Keep asking for the next move until a valid move.\\n while(True):\\n childList = state.get_successors()\\n print(\\\"Your possible moves:\\\")\\n i = 0\\n for c in childList:\\n if i > 0 and i%4 == 0:\\n print()\\n print(c.get_action().ljust(10),end=\\\"\\\\t\\\");\\n i += 1\\n print()\\n nextMove = input(\\\"What is your next move? \\\\ne.g.'F2-E3' or 'Quit'\\\\n\\\")\\n #Check if the move is valid\\n if nextMove.lower() == 'Quit'.lower():\\n return None\\n for c in childList:\\n if c.get_action().upper() == nextMove.upper():\\n return c\\n # Move not possible \\n print(\\\"Invalid move!! Please try again...\\\\n\\\")\",\n \"def player_play(self, color, x, y):\\r\\n self.tr.bd.disks[x][y].color,\\r\\n self.tr.bd.disks[x][y].display_on = color, True\\r\\n self.tr.bd.disks[x][y].chain()\\r\\n self.tr.board_scan_reset()\\r\\n # Checks for computer move, if none, then checks for another move\\r\\n if self.tr.board_scan():\\r\\n self.delay = frameCount\\r\\n return\\r\\n else:\\r\\n self.tr.board_scan_reset()\\r\\n if not self.tr.board_scan():\\r\\n return\\r\\n # If none, ends game.\\r\\n else:\\r\\n self.tr.board_scan_reset()\\r\\n self.tr.scanner()\\r\\n self.tr.game_over = True\\r\\n self.tr.run_game_is_over = frameCount\",\n \"def handle_input_event(self):\\n\\n self.markerPos = self.get_mouse_coordinate()\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n raise QuitRequestedError\\n if event.type == pygame.KEYDOWN:\\n if event.key == pygame.K_ESCAPE:\\n raise QuitRequestedError\\n if event.type == pygame.MOUSEBUTTONDOWN:\\n if Event.is_valid_placement_stage(self.event):\\n self.choice = self.get_mouse_coordinate()\\n self.event = Event.next(self.event)\\n self.timestep_watch.reset()\\n\\n liberties = self.env.liberty_after_next_steps(self.env.turn, self.env.getOpponent())\\n self.env.printField(liberties)\\n print()\\n # self.env.printFlipNum(self.env.turn)\\n # print(self.env.update_num_disks_can_filp(self.choice[0], self.choice[1], self.env.turn))\\n\\n # print(\\\"Click \\\", pos, \\\"coordinates: \\\", row, col)\",\n \"def main():\\n \\n games = 'chess simon puzzle chess go slide go sudoku snake'.split()\\n gi = 0\\n game = games[gi]\\n board = set_game(game)\\n board.keys[K_t] = test\\n \\n while board.active:\\n for event in pygame.event.get():\\n board.do_event(event)\\n if event.type == KEYDOWN:\\n if event.key == K_g:\\n gi = (gi + 1) % len(games)\\n board = set_game(games[gi])\\n \\n board.update()\\n \\n pygame.quit()\",\n \"def perform_action(self, current_player, action):\\n self.inputs_[action] = current_player\\n if Config.USER['debug']['enabled']:\\n print \\\"---\\\"\\n print str(self.inputs_[0:3])\\n print str(self.inputs_[3:6])\\n print str(self.inputs_[6:9])\",\n \"def play_game(cls):\\n os.system('cls')\\n # Get the board size\\n prompt = \\\"What size board do you want? (3-10)\\\"\\n size = input(prompt)\\n while size not in [str(x) for x in range(3, 11)]:\\n size = input(prompt)\\n cls.size = int(size)\\n\\n cls.clear_board()\\n\\n # Non-blocking fashion\\n listener = keyboard.Listener(on_release=cls.on_release)\\n listener.start()\",\n \"def play_minion(num_cards_in_hand, card_idx):\\n click_on_card(num_cards_in_hand, card_idx)\\n mouseclick(510, 472)\",\n \"def ask_user():\\r\\n while True:\\r\\n if bj.player1.double_down is True and bj.player1.split is True and bj.player1.went_split is False:\\r\\n p_choice = input(\\\"Hit, Stand, Double Down or Split?\\\\n\\\")\\r\\n if p_choice != \\\"hit\\\" and p_choice != \\\"stand\\\" and p_choice != \\\"dd\\\" and p_choice != \\\"double\\\" and p_choice != \\\"double down\\\" and p_choice != \\\"split\\\":\\r\\n print(\\\"Wrong input.\\\\n\\\")\\r\\n continue\\r\\n else:\\r\\n return p_choice\\r\\n elif bj.player1.split is True and bj.player1.went_split is False: # various input prompts depending on available player choices\\r\\n p_choice = input(\\\"Hit, Stand or Split?\\\\n\\\")\\r\\n if p_choice != \\\"hit\\\" and p_choice != \\\"stand\\\" and p_choice != \\\"split\\\":\\r\\n print(\\\"Wrong input.\\\\n\\\")\\r\\n continue\\r\\n else:\\r\\n return p_choice\\r\\n elif bj.player1.double_down is True:\\r\\n p_choice = input(\\\"Hit, Stand or Double Down?\\\\n\\\")\\r\\n if p_choice != \\\"hit\\\" and p_choice != \\\"stand\\\" and p_choice != \\\"dd\\\" and p_choice != \\\"double\\\" and p_choice != \\\"double down\\\":\\r\\n print(\\\"Wrong input.\\\\n\\\")\\r\\n continue\\r\\n else:\\r\\n return p_choice\\r\\n else:\\r\\n p_choice = input(\\\"Hit or Stand?\\\\n\\\")\\r\\n if p_choice != \\\"hit\\\" and p_choice != \\\"stand\\\":\\r\\n print(\\\"Wrong input.\\\\n\\\")\\r\\n continue\\r\\n else:\\r\\n return p_choice\",\n \"def play():\\n\\n while True:\\n print(\\\"Press any key to pick a piece (or q to quit): \\\")\\n user_input = getch.getch()\\n clear_screen()\\n\\n if user_input != 'q':\\n current_piece = choice(list(pieces.keys())) \\n print(current_piece, ': ', pieces[current_piece]['icon'], '\\\\n', sep=\\\"\\\")\\n print(pieces[current_piece]['move'], '\\\\n')\\n else:\\n print(\\\"Thanks for trying No Stress Chess®\\\")\\n break\",\n \"def process_input(self):\\n for event in pygame.event.get():\\n\\n if self.joystick and self.state == self.STATE_PLAY:\\n\\n if event.type == pygame.JOYAXISMOTION:\\n self.gameevents.add(\\\"joyaxismotion\\\", event.axis, event.value, type='EVENT_USER')\\n elif event.type == pygame.JOYBUTTONDOWN:\\n if event.button == self.fire_button:\\n self.gameevents.add(\\\"press\\\", \\\"fire\\\", type='EVENT_USER')\\n elif event.button == self.IFF_button:\\n self.gameevents.add(\\\"press\\\", \\\"iff\\\", type='EVENT_USER')\\n elif event.button == self.shots_button:\\n self.gameevents.add(\\\"press\\\", \\\"shots\\\", type='EVENT_USER')\\n elif event.button == self.pnts_button:\\n self.gameevents.add(\\\"press\\\", \\\"pnts\\\", type='EVENT_USER')\\n elif event.type == pygame.JOYBUTTONUP:\\n if event.button == self.fire_button:\\n self.gameevents.add(\\\"release\\\", \\\"fire\\\", type='EVENT_USER')\\n elif event.button == self.IFF_button:\\n self.gameevents.add(\\\"release\\\", \\\"iff\\\", type='EVENT_USER')\\n elif event.button == self.shots_button:\\n self.gameevents.add(\\\"release\\\", \\\"shots\\\", type='EVENT_USER')\\n elif event.button == self.pnts_button:\\n self.gameevents.add(\\\"release\\\", \\\"pnts\\\", type='EVENT_USER')\\n\\n else:\\n\\n if event.type == pygame.KEYDOWN:\\n\\n if (pygame.key.get_mods() & self.modifier):\\n if event.key == pygame.K_q:\\n self.gameevents.add(\\\"press\\\", \\\"quit\\\", type='EVENT_USER')\\n\\n if event.key == pygame.K_RETURN:\\n\\n if self.state == self.STATE_INTRO:\\n self.state = self.STATE_SETUP\\n\\n elif self.state == self.STATE_SETUP:\\n self.state = self.STATE_GAMENO\\n\\n elif self.state == self.STATE_GAMENO:\\n if self.mine_exists:\\n self.state = self.STATE_SETUP_IFF\\n else:\\n self.state = self.STATE_PREPARE\\n\\n elif self.state == self.STATE_IFF:\\n self.state = self.STATE_PREPARE\\n\\n elif self.state == self.STATE_SCORES:\\n self.state = self.STATE_SETUP\\n\\n elif self.state == self.STATE_PLAY:\\n\\n if event.key == self.thrust_key:\\n self.gameevents.add(\\\"press\\\", \\\"thrust\\\", type='EVENT_USER')\\n elif event.key == self.left_turn_key:\\n self.gameevents.add(\\\"press\\\", \\\"left\\\", type='EVENT_USER')\\n elif event.key == self.right_turn_key:\\n self.gameevents.add(\\\"press\\\", \\\"right\\\", type='EVENT_USER')\\n elif event.key == self.fire_key:\\n self.gameevents.add(\\\"press\\\", \\\"fire\\\", type='EVENT_USER')\\n elif event.key == self.IFF_key:\\n self.gameevents.add(\\\"press\\\", \\\"iff\\\", type='EVENT_USER')\\n elif event.key == self.shots_key:\\n self.gameevents.add(\\\"press\\\", \\\"shots\\\", type='EVENT_USER')\\n elif event.key == self.pnts_key:\\n self.gameevents.add(\\\"press\\\", \\\"pnts\\\", type='EVENT_USER')\\n elif event.key == self.pause_key and self.config['General']['allow_pause']:\\n self.gameevents.add(\\\"press\\\", \\\"pause\\\", type='EVENT_USER')\\n else:\\n self.gameevents.add(\\\"press\\\", event.key, \\\"user\\\", type='EVENT_SYSTEM')\\n \\n elif self.state == self.STATE_PAUSED and event.key == self.pause_key:\\n self.gameevents.add(\\\"press\\\", \\\"unpause\\\", type='EVENT_USER')\\n \\n else:\\n self.gameevents.add(\\\"press\\\", event.key, \\\"user\\\", type='EVENT_SYSTEM')\\n\\n elif event.type == pygame.KEYUP:\\n\\n if self.state == self.STATE_PLAY:\\n\\n if event.key == self.thrust_key:\\n self.gameevents.add(\\\"release\\\", \\\"thrust\\\", type='EVENT_USER')\\n elif event.key == self.left_turn_key:\\n self.gameevents.add(\\\"release\\\", \\\"left\\\", type='EVENT_USER')\\n elif event.key == self.right_turn_key:\\n self.gameevents.add(\\\"release\\\", \\\"right\\\", type='EVENT_USER')\\n elif event.key == self.fire_key:\\n self.gameevents.add(\\\"release\\\", \\\"fire\\\", type='EVENT_USER')\\n elif event.key == self.IFF_key:\\n self.gameevents.add(\\\"release\\\", \\\"iff\\\", type='EVENT_USER')\\n elif event.key == self.shots_key:\\n self.gameevents.add(\\\"release\\\", \\\"shots\\\", type='EVENT_USER')\\n elif event.key == self.pnts_key:\\n self.gameevents.add(\\\"release\\\", \\\"pnts\\\", type='EVENT_USER')\",\n \"def play_DQN_game(self):\\n self.reset()\\n while(not self._exit):\\n pg.event.pump()\\n self.clock.tick(self.actions_per_second)\\n self.check_for_exit()\\n self.handle_keyboard_input()\\n self.perform_DQN_actions()\\n self.check_for_end_game()\\n self.render()\\n\\n self.cleanup()\",\n \"def handle_turn(player_):\\n if player_ == computer:\\n print('\\\\nNow ', player_ + \\\"'s turn.\\\")\\n position = block_to_win()\\n if position == -1:\\n position = check_if_computer_can_win()\\n if position == -1:\\n position = randrange(0, 9)\\n while board[position] not in ['_']:\\n position = randrange(0, 9)\\n board[position] = computer\\n display_board()\\n if player_ == player:\\n print('\\\\nNow ', player_ + \\\"'s turn.\\\")\\n position = int(input('Choose a position from 1-9 (available): '))\\n while position not in [1, 2, 3, 4, 5, 6, 7, 8, 9]:\\n position = int(input('Wrong input. Choose a position from 1-9: '))\\n position = position - 1\\n while board[position] not in ['_']:\\n position = int(input('Position is already taken. Choose from available positions: '))\\n position = position - 1\\n board[position] = player\\n display_board()\",\n \"def player_turn(self):\\n if self.turn == \\\"x\\\":\\n player_name = self.player_1\\n else:\\n player_name = self.player_2\\n\\n player_choice = input(f\\\"{player_name}, pick an open box to put an {self.turn} by entering the column, 'a', 'b',\\\"\\n f\\\" or 'c' and the cell number, 1, 2, 3. (e.g. 'a1', 'b2' or 'c3'):\\\\n\\\").strip().lower()\\n\\n while player_choice not in valid_choices:\\n print(f\\\"Invalid choice entered! Please submit an open box as listed below\\\")\\n player_choice = input(\\n f\\\"{player_name}, pick an open box to put an {self.turn} by entering the column, 'a', 'b', or \\\"\\n f\\\"'c' and the cell number, 1, 2, 3. (e.g. 'a1', 'b2' or 'c3'):\\\\n\\\").strip().lower()\\n\\n self.update_board(player_choice)\",\n \"def get_player_action(self) -> None:\\n print(f\\\"\\\\nYou have: {self.user.hand.cards} totalling to {self.user.hand.value}\\\")\\n while not self.get_game_ending_hands():\\n action = self.validate_input(\\\"Do you want to 1. hit or 2. stand?\\\", ('1', '2'))\\n if action == '1':\\n self.action_hit()\\n elif action == '2':\\n self.action_stand()\\n break\",\n \"def play_cpu(self):\\n \\n # Play button sound\\n self.button_sound()\\n\\n while True:\\n\\n # If turns is 9, then all the places on the board are filled. Hence Cpu doesn't get a turn. \\n if self.turn >= 9:\\n break\\n\\n # Choose a random position and if that position on board is empty, then place a 'O' there.\\n i = random.randint(0, 8)\\n if self.board[i] == 0:\\n #root.after(400)\\n self.button_list[i].config(image=self.O_img)\\n self.board[i] = -1\\n self.turn += 1\\n\\n break\",\n \"def random_play(board, NN, device=\\\"cpu\\\"):\\r\\n board_state_string = board.fen() # obtain state from board\\r\\n state_array = input_state(board_state_string) # turn state into an array format for NN\\r\\n is_black = not is_white(board_state_string)\\r\\n print(\\\"is black: \\\",is_black)\\r\\n legal_moves_array = np.zeros([4672]) # initialize array of legal moves\\r\\n legal_moves_array, move_dict = return_legal_moves(board, is_black)\\r\\n # print(\\\"state array shape: \\\", state_array.shape)\\r\\n # print(\\\"legal array sahpe: \\\", legal_moves_array.shape)\\r\\n legal_moves_prob_distribution, _ = (NN.run(state_array, legal_moves_array, device=device)) #we're assuming that NN forward runs the neural network\\r\\n # legal_moves_prob_distribution = legal_moves_prob_distribution / np.sum(legal_moves_prob_distribution) # normalize\\r\\n legal_moves_prob_distribution = legal_moves_prob_distribution.numpy().reshape(4672)\\r\\n # legal_moves_prob_distribution = legal_moves_prob_distribution - np.min(legal_moves_prob_distribution)\\r\\n # legal_moves_prob_distribution = legal_moves_prob_distribution /legal_moves_prob_distribution.sum()\\r\\n # print(\\\"legal_moves_prob_distribution sum \\\",abs(legal_moves_prob_distribution).sum())\\r\\n # print(\\\"legal_moves_prob_distribution sum \\\",(legal_moves_prob_distribution* legal_moves_arrayCopy).sum())\\r\\n # print(\\\"legal_moves_prob_distribution sum \\\",(legal_moves_prob_distribution).sum())\\r\\n action_idx = np.random.choice(4672, p = legal_moves_prob_distribution )\\r\\n print(\\\"action idx: \\\", action_idx)\\r\\n action_array = np.zeros([4672])\\r\\n action_array[action_idx] = 1\\r\\n move_text = move_dict[action_idx]\\r\\n print(\\\"move text: \\\", move_text)\\r\\n env_move = chess.Move.from_uci(move_text)\\r\\n board.push(env_move)\\r\\n return action_array\",\n \"def play_gui():\\n global done\\n GAME_OVER = False\\n pygame.init()\\n board = create_board()\\n\\n screen = pygame.display.set_mode(SIZE)\\n draw_board(board, screen)\\n pygame.display.update()\\n\\n myfont = pygame.font.SysFont(\\\"monospace\\\", 75)\\n turn = np.random.randint(0, 2)\\n\\n while not GAME_OVER:\\n g = Game()\\n done = False\\n transitions_agent = []\\n\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n sys.exit()\\n\\n if event.type == pygame.MOUSEMOTION:\\n pygame.draw.rect(screen, black, (0, 0, WIDTH, SQUARESIZE))\\n posx = event.pos[0]\\n if turn == PLAYER:\\n pygame.draw.circle(screen, red, (posx, int(SQUARESIZE / 2)), RADIUS)\\n pygame.display.update()\\n\\n if event.type == pygame.MOUSEBUTTONDOWN:\\n pygame.draw.rect(screen, black, (0, 0, WIDTH, SQUARESIZE))\\n\\n if turn == PLAYER:\\n posx = event.pos[0]\\n col = int(math.floor(posx / SQUARESIZE))\\n\\n if is_valid_location(board, col):\\n row = get_next_open_row(board, col)\\n drop_piece(board, row, col, PLAYER_PIECE)\\n\\n if winning_move(board, PLAYER_PIECE):\\n label = myfont.render(\\\"Player 1 wins!!\\\", 1, red)\\n screen.blit(label, (40, 10))\\n GAME_OVER = True\\n\\n turn = (turn + 1) % 2\\n draw_board(board, screen)\\n\\n # # Ask for Player 2 Input\\n if turn == AI and not GAME_OVER:\\n observation = []\\n #print(f\\\"BOARD: {board}\\\")\\n temp_board = np.flipud(board)\\n for col in range(COLUMN_COUNT):\\n col_elements = temp_board[:,col]\\n for element in col_elements:\\n observation.append(element)\\n\\n #print(f\\\"OBS: {observation}\\\")\\n observation = np.asarray(observation)\\n col = agent.choose_action(observation)\\n\\n if is_valid_location(board, col):\\n row = get_next_open_row(board, col)\\n drop_piece(board, row, col, AI_PIECE)\\n\\n if winning_move(board, AI_PIECE):\\n label = myfont.render(\\\"Player 2 wins!!\\\", 1, yellow)\\n screen.blit(label, (40, 10))\\n GAME_OVER = True\\n\\n draw_board(board, screen)\\n turn = (turn + 1) % 2\\n\\n else:\\n print(\\\"AI random choice\\\")\\n col = np.random.randint(7)\\n row = get_next_open_row(board, col)\\n drop_piece(board, row, col, AI_PIECE)\\n\\n if winning_move(board, AI_PIECE):\\n label = myfont.render(\\\"Player 2 wins!!\\\", 1, yellow)\\n screen.blit(label, (40, 10))\\n GAME_OVER = True\\n\\n draw_board(board, screen)\\n turn = (turn + 1) % 2\",\n \"def main():\\r\\n print(WELCOME_MESSAGE)\\r\\n\\r\\n playing = True\\r\\n while playing:\\r\\n\\r\\n # Valid inputs that the user can use\\r\\n move_actions = (UP, DOWN, LEFT, RIGHT)\\r\\n other_actions = (GIVE_UP, HELP)\\r\\n\\r\\n grid_size = int(input(BOARD_SIZE_PROMPT))\\r\\n\\r\\n # Get the puzzle and its solution\\r\\n solution = get_game_solution(WORDS_FILE, grid_size)\\r\\n puzzle = shuffle_puzzle(solution)\\r\\n\\r\\n solved = check_win(puzzle, solution)\\r\\n print_solution_position(solution, puzzle)\\r\\n\\r\\n # Continue to loop until the puzzle is solved or the user gives up\\r\\n while not solved:\\r\\n player_action = input(DIRECTION_PROMPT)\\r\\n\\r\\n # Player move input handler\\r\\n # Updates the puzzle with the new board layout, if fail alert user\\r\\n if player_action in move_actions:\\r\\n move_attempt = move(puzzle, player_action)\\r\\n if move_attempt:\\r\\n puzzle = move_attempt\\r\\n else:\\r\\n print(INVALID_MOVE_FORMAT.format(player_action))\\r\\n\\r\\n # Other inputs handler\\r\\n elif player_action in other_actions:\\r\\n if player_action == GIVE_UP:\\r\\n break\\r\\n elif player_action == HELP:\\r\\n print(HELP_MESSAGE)\\r\\n\\r\\n # If there is no match for input, alert the user\\r\\n else:\\r\\n print(INVALID_MESSAGE)\\r\\n\\r\\n print_solution_position(solution, puzzle)\\r\\n solved = check_win(puzzle, solution)\\r\\n\\r\\n # Show message depending if user won or not\\r\\n if solved:\\r\\n print(WIN_MESSAGE)\\r\\n else:\\r\\n print(GIVE_UP_MESSAGE)\\r\\n\\r\\n # Check if the user wishes to play again\\r\\n play_again = input(PLAY_AGAIN_PROMPT)\\r\\n if not (play_again.lower() == \\\"y\\\" or play_again == \\\"\\\"):\\r\\n playing = False\\r\\n print(BYE)\",\n \"def play(auto_A: bool = False, auto_B: bool = False) -> None:\\n board: Board = Board()\\n player: Player = Player.A\\n move_count: int = 1\\n cell_number: int = 0\\n print('Welcome to the Tic-Tac-Toe game!')\\n while move_count <= 9:\\n print(board.display())\\n player_name: str = player.display()\\n\\n if player == Player.A and auto_A or player == Player.B and auto_B:\\n cell_number = minimax(board, player)\\n print(f'[{move_count}] Player {player_name} moved to {cell_number}.')\\n else:\\n response: str = input(f'[{move_count}] Player {player_name}, enter your move or q to exit: ')\\n\\n if response == 'q':\\n print(\\\"Game exited.\\\")\\n break\\n\\n response_error: Optional[str] = validate_response(response)\\n if response_error is not None:\\n print(f'ERROR! {response_error}')\\n continue\\n\\n cell_number = int(response)\\n if not board.is_cell_empty(cell_number):\\n print(f'ERROR! Cell number {cell_number} is not empty.')\\n continue\\n\\n board = board.make_move(player, cell_number)\\n if board.is_win(player):\\n print(board.display())\\n print(f'Congratulations, player {player_name}! You won in {move_count} moves.')\\n break\\n else:\\n move_count += 1\\n player = player.switch()\\n if move_count > 9:\\n print(board.display())\\n print('This game has ended in a draw.')\",\n \"def check_for_input(self):\\n if self.state == 'resting':\\n if self.keys[pg.K_UP]:\\n self.begin_moving('up')\\n elif self.keys[pg.K_DOWN]:\\n self.begin_moving('down')\\n elif self.keys[pg.K_LEFT]:\\n self.begin_moving('left')\\n elif self.keys[pg.K_RIGHT]:\\n self.begin_moving('right')\",\n \"def playGame(b, px, po):\\n \\n nextPieceToMove = [\\\"X\\\",\\\"O\\\"] \\n nextPlayerToMove = [px,po]\\n n=0\\n # FILL IN CODE HERE\\n while True:\\n if b.isFull() == False and nextPlayerToMove[n%2] == \\\"human\\\":\\n move = askformove(b)\\n b.addMove(move, nextPieceToMove[n%2])\\n print(b)\\n if b.winsFor(nextPieceToMove[n%2]):\\n nextPieceToMove = nextPieceToMove[n%2]\\n print(nextPieceToMove + \\\" wins!\\\")\\n break\\n elif not b.isFull():\\n move = nextPlayerToMove[n%2].nextMove(b)\\n b.addMove(move, nextPieceToMove[n%2])\\n print(b)\\n if b.winsFor(nextPieceToMove[n%2]):\\n nextPieceToMove = nextPieceToMove[n%2]\\n print(nextPieceToMove + \\\" wins!\\\")\\n break\\n else:\\n nextPieceToMove = \\\"D\\\"\\n break\\n n = 1+n \\n return(b.data, nextPieceToMove)\",\n \"def main(self):\\n while 1:\\n events = get_gamepad()\\n for event in events:\\n\\n if(event.ev_type == \\\"Absolute\\\" ):\\n\\n if event.code in self.map[GAMEPAD].keys():\\n self.absolute_switch[ self.map[GAMEPAD][event.code] ](event.state)\\n\\n\\n if(event.ev_type == \\\"Key\\\" ):\\n\\n if event.code in self.map[GAMEPAD].keys():\\n self.btn_switch[ self.map[GAMEPAD][event.code] ](self.map[GAMEPAD][event.code], event.state)\\n \\n\\n\\n\\n #print(event.ev_type, event.code, event.state)\",\n \"def play_game(word_list):\\n # TO DO ...\\n\\n hand = deal_hand(HAND_SIZE) # random init\\n\\n while True:\\n cmd = input('Enter n to deal a new hand, r to replay the last hand, or e to end game: ')\\n\\n if cmd == 'n':\\n hand = deal_hand(HAND_SIZE)\\n play_hand(hand.copy(), word_list)\\n print()\\n\\n elif cmd == 'r':\\n play_hand(hand.copy(), word_list)\\n print()\\n\\n elif cmd == 'e':\\n break\\n\\n else:\\n print(\\\"Invalid command.\\\")\",\n \"def main():\\r\\n lp = launchpad_py.Launchpad() \\r\\n lp.Open()\\r\\n lp.LedAllOn(0)\\r\\n displayField(lp)\\r\\n player = 1\\r\\n while True:\\r\\n time.sleep(0.01)\\r\\n if player == 1:\\r\\n letter = \\\" X \\\"\\r\\n if player == 2:\\r\\n letter = \\\" O \\\"\\r\\n if setCross(lp, player, field, letter):\\r\\n if player == 1:\\r\\n player = 2\\r\\n else:\\r\\n player = 1\\r\\n if theWinnerIs(field, letter):\\r\\n if letter == \\\" X \\\":\\r\\n allOnForWinner(field,letter,lp)\\r\\n if letter == \\\" O \\\":\\r\\n allOnForWinner(field,player,lp)\\r\\n break\\r\\n if equal(field):\\r\\n lp.LedAllOn(lp.LedGetColor(3, 3))\\r\\n break\",\n \"def GetNextMove(board, index, teams, mover):\\n\\tif teams[mover] == 'H':\\n\\t\\twhile True:\\n\\t\\t\\tmove = int(input('Tell me your move, {}: '.format(mover)))\\n\\t\\t\\tresult = ValidateMove(board, mover, move)\\n\\t\\t\\tif result == MoveValidation.Valid:\\n\\t\\t\\t\\treturn move\\n\\telse:\\n\\t\\treturn GetComputerMove(board, index, mover)\",\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 play_game(word_list):\\n hand = deal_hand(HAND_SIZE)\\n\\n while True:\\n game = raw_input(\\\"\\\\nEnter 'n' to play a new game. Enter 'r' to replay your last game. Enter 'e' to exit. \\\\n\\\")\\n\\n if game == \\\"n\\\":\\n hand = deal_hand(HAND_SIZE)\\n play_hand(hand.copy(), word_list)\\n elif game == \\\"r\\\":\\n play_hand(hand.copy(), word_list)\\n elif game == \\\"e\\\":\\n print \\\"Game ended.\\\"\\n break\\n else:\\n print \\\"Please enter a valid command.\\\"\\n return play_game(word_list)\\n\\n comp_game = raw_input((\\\"\\\\nEnter 'u' to play a new game. Enter 'c' to have the computer play a game.\\\"))\\n\\n while comp_game != \\\"u\\\" and comp_game != \\\"c\\\":\\n print \\\"Please enter a valid command.\\\"\\n comp_game = raw_input((\\\"\\\\nEnter 'u' to play a new game. Enter 'c' to have the computer play a game. \\\"))\\n\\n if comp_game == \\\"u\\\":\\n hand = deal_hand(HAND_SIZE)\\n play_hand(hand.copy(), word_list)\\n elif comp_game == \\\"c\\\":\\n hand = deal_hand(HAND_SIZE)\\n comp_play_hand(hand.copy(), word_list)\",\n \"def playGameplus(wordList):\\n #选择游戏模式\\n global la_st2\\n n = 0\\n print '请选择你想进行的模式：a：单人 c：人机 e: 退出游戏'\\n while True:\\n order9 = raw_input('>>>').lower()\\n if (order9 == 'a') or (order9 =='c'):\\n moudl = True\\n break\\n elif order9 == 'e':\\n moudl = False\\n print '游戏已退出'\\n print ' = ' * 20\\n break\\n else:\\n print '命令有误，请重新输入'\\n if moudl:\\n print 'n:新的游戏 r:重开上局 e:退出'\\n order8 = raw_input('>>>').lower() \\n while True:\\n if order8 == 'n':\\n while True:\\n n = raw_input('你想获取的字母数(大于4个):')\\n while True:\\n try:\\n n = int(n)\\n if n > 4:\\n break\\n except ValueError,e:\\n print '输入有误！'\\n if order9 == 'a':\\n hand = dealHand(n)\\n la_st = copy.deepcopy(hand)\\n playHand(hand, wordList, n)\\n elif order9 == 'c':\\n hand = dealHand(n)\\n la_st = copy.deepcopy(hand)\\n playHandplus(hand, wordList, n)\\n if order8 == 'r':\\n if la_st2 and (order9 == 'a'):\\n playHand(la_st, wordList, n)\\n elif la_st2 and (order9 == 'c'):\\n playHandplus(hand, wordList, n)\\n elif not la_st2:\\n print '您没有上局存档，请重新输入指令：'\\n order8 = raw_input('>>>').lower()\\n if order8 == 'e':\\n print '游戏结束'\\n break\\n if not order8 in ['r','n','e'] or order8 == '':\\n print '请重新输入指令：'\\n order8 = raw_input('>>>').lower()\",\n \"def nextQuestion(self):\\n\\t\\tif len(self.usedQuestions) == self.numQuestions:\\n\\t\\t\\tif not self.nextRound():\\n\\t\\t\\t\\treturn\\n\\n\\t\\tif self.selectingPlayer == '' or self.players[self.selectingPlayer][2] == 'Disconnected':\\n\\t\\t\\tself.choosePlayer()\\n\\t\\telse:\\n\\t\\t\\tself.changeStatus(self.selectingPlayer, 'Selecting')\\n\\n\\t\\tfor player in self.players.items():\\n\\t\\t\\ttry:\\n\\t\\t\\t\\tplayer[1][0].displayGrid()\\n\\t\\t\\texcept (ConnectionClosedError, ProtocolError):\\n\\t\\t\\t\\tself.changeStatus(player[0], 'Disconnected')\\n\\n\\t\\tself.gridDisplayed.emit()\",\n \"def playGame(wordList):\\n while True:\\n user_input = str(input('Enter n to deal a new hand, r to replay the last hand, or e to end game: '))\\n if user_input == 'e':\\n break\\n elif user_input == 'n':\\n while True:\\n play_mode = str(input('Enter u to have yourself play, c to have the computer play: '))\\n if play_mode == 'u':\\n hand = dealHand(HAND_SIZE)\\n playHand(hand, wordList, HAND_SIZE)\\n break\\n elif play_mode == 'c':\\n hand = dealHand(HAND_SIZE)\\n compPlayHand(hand, wordList, HAND_SIZE)\\n break\\n else:\\n print('Invalid command.') \\n elif user_input == 'r':\\n try:\\n hand\\n play_mode = str(input('Enter u to have yourself play, c to have the computer play: '))\\n if play_mode == 'u':\\n playHand(hand, wordList, HAND_SIZE)\\n elif play_mode == 'c':\\n compPlayHand(hand, wordList, HAND_SIZE)\\n else:\\n print('Invalid command.')\\n except:\\n print('You have not played a hand yet. Please play a new hand first!')\\n else:\\n print('Invalid command.')\",\n \"def update(self, player_index=0, num_players=1, visible_scards = []):\\n\\n self.visible_scards = visible_scards\\n self.controller._state.player_index = player_index\\n if self.num_players > num_players and self.controller._state.rules.Shared_Board \\\\\\n and not self.need_updated_buttons:\\n # A player has left the game after the round has begun -- make adjustments so game can continue.\\n self.playerLeftGame(num_players)\\n self.num_players = num_players\\n if self.controller._state.round == -1:\\n self.mesgBetweenRounds(self.help_text)\\n if self.round_advance:\\n self.round_index = self.round_index + 1\\n if self.round_index < len(self.Meld_Threshold):\\n self.help_text[0] = 'This is the round of ' + str(self.Meld_Threshold[self.round_index]) + ' ! '\\n self.need_updated_buttons = True # used for Liverpool.\\n else:\\n self.help_text = ['Game has concluded. Scores for each round can be found in command window.']\\n self.round_advance = False\\n else:\\n if not self.round_index == self.controller._state.round:\\n # Need this to true up round_index if a player joins mid-game.\\n skipped_rounds = self.controller._state.round - self.round_index\\n for idx in range(skipped_rounds):\\n #todo: How to score latecomers should be moved to ruleset.\\n score = 0\\n self.controller.lateJoinScores(score)\\n self.round_index = self.controller._state.round\\n self.round_advance = True\\n # reset outline colors on ready buttons to what they need to be at the start of the \\\"between rounds\\\" state.\\n self.ready_color_idx = 2\\n self.not_ready_color_idx = 6\\n self.last_hand = self.current_hand\\n self.current_hand = self.controller.getHand()\\n if len(self.current_hand) == 0:\\n self.hand_info = []\\n elif not self.last_hand == self.current_hand:\\n self.hand_info = HandManagement.WrapHand(self, self.current_hand, self.hand_info)\\n HandManagement.ShowHolding(self, self.hand_info) # displays hand\\n self.RuleSetsButtons.ButtonDisplay(self)\",\n \"def playGame(wordList):\\n hand = None\\n while True:\\n selection = raw_input(\\\"Enter n to deal a new hand, r to replay the last hand, or e to end game:\\\")\\n if selection == 'n':\\n hand = dealHand(HAND_SIZE)\\n playHand(hand, wordList, HAND_SIZE)\\n print\\n \\n elif selection == 'r':\\n if hand is None:\\n print \\\"You have not played a hand yet. Please play a new hand first!\\\"\\n print\\n \\n else:\\n playHand(hand, wordList, HAND_SIZE)\\n\\n elif selection == 'e':\\n break\\n\\n else: \\n print \\\"Invalid command.\\\"\",\n \"def listenMove(s):\\n debugPrint(\\\"FUNCTION AcornClient.listenMove()\\\")\\n print(grid)\\n loop = True\\n while loop:\\n move = input(\\\">>> \\\").lower()\\n if move in ['w']:\\n loop = False\\n sendMove(s, 'up')\\n elif move in ['s']:\\n loop = False\\n sendMove(s, 'down')\\n elif move in ['d']:\\n loop = False\\n sendMove(s, 'right')\\n elif move in ['a']:\\n loop = False\\n sendMove(s, 'left')\\n else:\\n print(\\\"Please choose either: 'up', 'down', 'left', or 'right'. Thank you.\\\") # In case the user is trying to break the system :(\\n debugPrint(\\\"User input an unknown direction: %s\\\" % move, 1)\",\n \"def game(self):\\n sender = self.sender()\\n if(sender.text() == \\\" \\\"):\\n sender.setText(\\\"x\\\" if self.firstPlayer else \\\"0\\\")\\n self.firstPlayer = not(self.firstPlayer)\\n res = self.checkForResult()\\n if(res[0] == True):\\n self.endGame(res[1])\",\n \"def play(self):\\n \\n while True:\\n self.print_board()\\n self.display_board()\\n winner = self.is_game_won()\\n if winner or self.is_filled():\\n break\\n \\n if self.turn == _PLAYER:\\n col = self.human_turn()\\n else:\\n col = self.ai_turn()\\n\\n row = self.get_row_for_col(col)\\n self.board[7 * row + col] = self.turn\\n self.last_play_rc = row, col\\n\\n if self.debug:\\n print(\\\"position scores:\\\",\\n \\\"player=\\\", score_position(self.board, _PLAYER),\\n \\\"ai=\\\", score_position(self.board, _AI))\\n \\n self.turn = _AI if self.turn == _PLAYER else _PLAYER\\n \\n if winner == 0:\\n msg = \\\"Tie!\\\"\\n elif winner == 1:\\n msg = \\\"You win!\\\"\\n else:\\n msg = \\\"I win!\\\"\\n \\n oled.text(msg, 64, 30)\\n oled.show()\\n print(\\\"\\\\n\\\" + msg + \\\"\\\\n\\\")\\n \\n if winner == 0 or winner == 1:\\n if self.plies == 3:\\n print(\\\"\\\"\\\"\\n(Of course, you did set me to easy mode, which I feel compelled to mention.)\\n\\\"\\\"\\\")\\n print(\\\"\\\"\\\"\\n\\nThere are some interesting things to learn about ConnectFour:\\n\\n {url}\\n\\nTo move ahead:\\n\\n >>> import sensors\\n >>> sensors.start()\\n\\n\\\"\\\"\\\".format(url=url(\\\"connectfour\\\")))\\n\\n else:\\n print(\\\"\\\"\\\"\\nWow. You were beat by a $4 computer--using only one of my processors (!!).\\nTo get the code to move ahead, you'll need to at least tie me.\\n\\nTo play again, make a new instance of the ConnectFour class. You can choose\\ndifferent options than the defaults:\\n\\n connectfour.ConnectFour(plies, start_player, serial_input, debug)\\n - plies [5]: moves to look ahead (3-6, where 3 is easy and 6 is slow and hard\\n - start_player [0]: 0 for random, 1 for you, 2 for me\\n - serial_input [False]: Enter moves w/keyboard in terminal instead of knob\\n - debug [False]: Show information about current AI evaluation scores\\n\\nFor example:\\n\\n >>> g = ConnectFour(plies=4, start_player=1)\\n >>> g.play()\\n\\n\\\"\\\"\\\")\",\n \"def start_play(self, player1, player2, start_player=0, is_shown=1): # 下棋\\n line = input().strip()\\n full_input = json.loads(line)\\n requests = full_input['requests']\\n x = requests[0]['x']\\n y = requests[0]['y']\\n if x < 0:\\n start_player = 1\\n else:\\n start_player = 0\\n self.board.init_board(start_player) # 初始化棋盘\\n p1, p2 = self.board.players # 两个棋手\\n player1.set_player_ind(p1)\\n player2.set_player_ind(p2)\\n players = {p1: player1, p2: player2}\\n if x >= 0:\\n current_player = self.board.get_current_player() # 获取当前棋手\\n player_in_turn = players[current_player]\\n move = 80 - (x + 1) * 9 + y + 1\\n self.board.do_move(move) # 进行落子\\n while True:\\n current_player = self.board.get_current_player() # 获取当前棋手\\n player_in_turn = players[current_player]\\n # self.board.set_current_availables() # 设定当前使用的availables\\n move = player_in_turn.get_action(self.board)\\n self.board.do_move(move) # 进行落子\",\n \"def advance_board(self):\\n raise NotImplementedError\",\n \"def getInput():\\t\\n\\tglobal active_\\n\\n\\t#to disable the service \\n\\tactive_ = False \\n\\t\\n\\t# reading the previous input\\n\\tprev_input_ = rospy.get_param('/input')\\n\\tinput_ = prev_input_\\n\\t\\n\\t#in order to make the user to choose one of the 5 possible inputs\\n\\twhile (prev_input_ == input_) or (input_ > 5 or input_ < 1):\\n\\t\\tif input_ > 5 or input_ < 1: \\n\\t\\t\\t#in the case in which the user make another selection\\n\\t\\t\\tprint \\\"Unknown input, please try again\\\" \\n\\t\\t\\n\\t\\t#propose to the user which are the real possibilities\\n\\t\\tprint(\\\"Please select one of the following senteces\\\\n\\\")\\n\\t\\tprint(\\\"1 - Move the robot randomly in the environment, by choosing one of six possible target positions\\\\n\\\")\\n\\t\\tprint(\\\"2 - The user can chose the next target position\\\\n\\\")\\n\\t\\tprint(\\\"3 - Start following the external walls\\\\n\\\")\\n\\t\\tprint(\\\"4 - Stop the robot in the last position\\\\n\\\")\\n\\t\\tprint(\\\"5 - Change the planning algorithm from move_base to bug0 and vice versa\\\\n\\\")\\n\\n\\t\\t#read the input typed by the user\\t\\n\\t\\tinput_ = (int(raw_input(\\\"Please select a number between 1 and 5: \\\")))\\n\\n\\t#set the choice made by the user\\n\\tif input_ >= 1 and input_ <= 5:\\n\\t\\trospy.set_param('/input', input_)\",\n \"def start_game(self):\\n p1_move = True\\n is_all_moves_over = False\\n while not is_all_moves_over:\\n\\n while p1_move and not is_all_moves_over:\\n p1 = int(input(\\\"Player 1 pos:\\\"))\\n is_all_moves_over, p1_move = self.play('p1', p1, p1_move)\\n\\n while not p1_move and not is_all_moves_over:\\n p2 = int(input(\\\"Player 2 pos:\\\"))\\n is_all_moves_over, p1_move = self.play('p2', p2, p1_move)\\n\\n print(\\\"Game Ended in Draw\\\")\",\n \"def play(self):\\n\\n while self.board.board[self.board.target_location()[0]]\\\\\\n [self.board.target_location()[1]] == \\\"E\\\": # the car didn't\\n # arrive the exit\\n self.__single_turn()\\n print(\\\"you won!\\\")\",\n \"def human():\\n table = [ \\n \\\"-\\\", \\\"-\\\", \\\"-\\\", \\n \\\"-\\\", \\\"-\\\", \\\"-\\\", \\n \\\"-\\\", \\\"-\\\", \\\"-\\\", \\n ]\\n choices = choice()\\n turn = [0,1,2,3,4,5,6,7,8]\\n\\n # while table still have available space, run until all boxes are filled\\n while len(turn) != 0:\\n \\n # Player1's turn\\n move_index, turn = table_check(table, turn) # Check if the index is valid\\n table[move_index] = choices[0] # Fill X or O to the table base on the index chosen\\n display_board(table) # Display to let them see for 2nd player's turn\\n\\n # The game cannot be won unless 5 moves has been played, so when turn has been reduced to 4 moves or less, check win\\n # Check win before tie since last move might make it a win\\n if len(turn) <= 4:\\n win_condition, player = win_check(table)\\n if win_condition == True:\\n print(f\\\"\\\\nPlayer \\\\\\\"{player}\\\\\\\" won!!\\\\nThanks for playing!\\\")\\n retry()\\n\\n # Player 1 will be the one who finish the game, so after filling every turn of player 1\\n # we need to check if it's the last turn, if yes than break\\n if len(turn) == 0:\\n break\\n \\n # Player2's turn\\n move_index, turn = table_check(table, turn) # Check if the index is valid\\n table[move_index] = choices[1] # Fill X or O to the table base on the index chosen\\n display_board(table) # Display to let them see for 2nd player's turn\\n\\n # The game cannot be won unless 5 moves has been played, so when turn has been reduced to 4 moves or less, check win\\n if len(turn) <= 4:\\n win_condition, player = win_check(table)\\n if win_condition == True:\\n print(f\\\"\\\\nPlayer \\\\\\\"{player}\\\\\\\" won!!\\\\nThanks for playing!\\\")\\n retry()\\n \\n print(\\\"\\\\nDRAW!\\\")\\n retry()\",\n \"def playGame(wordList):\\n while True:\\n user_input = str(input('Enter n to deal a new hand, r to replay the last hand, or e to end game: '))\\n if user_input == 'e':\\n break\\n elif user_input == 'n':\\n hand = dealHand(HAND_SIZE)\\n playHand(hand, wordList, HAND_SIZE)\\n elif user_input == 'r':\\n try:\\n playHand(hand, wordList, HAND_SIZE)\\n except:\\n print('You have not played a hand yet. Please play a new hand first!') \\n else:\\n print('Invalid command.')\",\n \"def human_move(board,player):\\r\\n \\r\\n s = input(\\\"Please input a legal move in a format of \\\\\\\"current_position-landing_position\\\\\\\", if the move is cantering or plain. In case of a capturing move, follow \\\\\\\"current_position-landing_position-enemy piece\\\\\\\": \\\")\\r\\n move = s.split('-')\\r\\n legal = legal_moves(board,player)\\r\\n execution(move,legal,board,player)\",\n \"def main():\\n\\n print('R-In-A-Row')\\n print()\\n\\n while True:\\n if play == 'human vs human':\\n human1Tile, human2Tile = enterHuman1Tile()\\n\\n turn = whoGoesFirst()\\n print('The %s player will got first.' % (turn))\\n mainBoard = getNewBoard()\\n elif play == 'human vs computer':\\n human1Tile, computer1Tile = enterHuman1Tile()\\n turn = whoGoesFirst()\\n print('The %s player will go first.' % (turn))\\n mainBoard = getNewBoard()\\n elif play == 'computer vs computer':\\n computer1Tile, computer2Tile = enterHuman1Tile()\\n turn = whoGoesFirst()\\n print('The %s player will go first.' % (turn))\\n\\n\\n while True:\\n if play == 'human vs human':\\n if turn == 'human1':\\n drawBoard(mainBoard)\\n move = getHuman1Move(mainBoard)\\n\\n makeMove(mainBoard, human1Tile, move)\\n\\n if isWinner(mainBoard, human1Tile):\\n winner = 'human1'\\n\\n break\\n turn = 'human2'\\n if turn == 'human2':\\n drawBoard(mainBoard)\\n move2 = getHuman2Move(mainBoard)\\n makeMove(mainBoard, human2Tile, move2)\\n if isWinner(mainBoard, human2Tile):\\n winner = 'human2'\\n break\\n turn = 'human1'\\n\\n elif play == 'human vs computer' :\\n if turn == 'human':\\n drawBoard(mainBoard)\\n move = getHuman1Move(mainBoard)\\n makeMove(mainBoard, human1Tile, move)\\n if isWinner(mainBoard, human1Tile):\\n winner = 'human'\\n\\n break\\n turn ='computer'\\n\\n elif turn == 'computer':\\n drawBoard(mainBoard)\\n print('The computer is thinking...')\\n move = getComputer1Move(mainBoard, computer1Tile)\\n makeMove(mainBoard, computer1Tile, move)\\n if isWinner(mainBoard, computer1Tile):\\n winner = 'computer'\\n break\\n turn = 'human'\\n elif play == 'computer vs computer':\\n if turn == 'computer1':\\n drawBoard(mainBoard)\\n print('computer1 is thinking...')\\n move = getComputer1Move(mainBoard, computer1Tile)\\n makeMove(mainBoard, computer1Tile, move)\\n if isWinner(mainBoard, computer1Tile):\\n winner = 'computer1'\\n break\\n turn = 'computer2'\\n elif turn == 'computer2':\\n drawBoard(mainBoard)\\n print('computer2 is thinking...')\\n move = getComputer2Move(mainBoard, computer2Tile)\\n makeMove(mainBoard, computer2Tile, move)\\n if isWinner(mainBoard, computer2Tile):\\n winner = 'computer2'\\n break\\n turn = 'computer1'\\n\\n\\n if isBoardFull(mainBoard):\\n winner = 'tie'\\n break\\n\\n drawBoard(mainBoard)\\n print('Winner is: %s' % winner)\\n if not playAgain():\\n break\",\n \"def requestMove(self) -> None:\\n\\n # player's turn to make a move\\n if self.whoseTurn == self.player:\\n position: int = int(input(f\\\"{self.player.getName()}'s turn : \\\"))\\n self.player.insertSymbol(position)\\n self.whoseTurn = self.ai\\n\\n # AI's turn to make a move\\n else:\\n print(f\\\"{self.ai.getName()}'s turn\\\")\\n self.ai.makeBestMove()\\n self.whoseTurn = self.player\",\n \"def play_one_move(self):\\n self.print(\\\"top of move\\\")\\n # 1) grab three cups\\n c1 = self.take_cup_after(self.current_cup_idx())\\n c2 = self.take_cup_after(self.current_cup_idx())\\n c3 = self.take_cup_after(self.current_cup_idx())\\n print(f\\\"pick up: {c1}, {c2}, {c3}\\\")\\n self.print(\\\"after pickup\\\")\\n\\n # 2) find a destination cup\\n destination_idx = self.find_next_destination(self.current_cup)\\n print(\\n f\\\"destination index is {destination_idx}, cup is {self.cups[destination_idx]}\\\"\\n )\\n\\n # 3) insert cups back into the circle\\n self.add_cups(destination_idx, [c1, c2, c3])\\n self.print(\\\"after adding cups..\\\")\\n\\n # 4) select the next cup\\n self.select_next_cup()\\n\\n self.print(\\\"post move\\\")\",\n \"def askformove(b):\\n while True:\\n print(b)\\n userInput = input(\\\"enter your move \\\")\\n try:\\n userInput= int(userInput)\\n assert(userInput <= b.width )\\n assert(b.allowsMove(userInput))\\n except (ValueError,AssertionError):\\n print(\\\"enter a diff move\\\")\\n continue\\n return userInput\",\n \"def handle_turn(cls, key):\\n entered = str(key).replace(\\\"'\\\", \\\"\\\")\\n\\n if entered in ['a','s','d','w']:\\n switcher = {\\n 'w': cls.up,\\n 's': cls.down,\\n 'a': cls.left,\\n 'd': cls.right,\\n }\\n switcher.get(entered)()\\n cls.display_board(True)\\n \\n elif entered in cls.positions:\\n cls.position = int(entered) - 1\\n\\n elif entered == 'Key.enter':\\n row, col = cls.get_position_coords()\\n if cls.board[row][col] == cls.empty:\\n # Board will place an X or O on the number slot chosen\\n cls.board[row][col] = cls.current_player\\n\\n # Check if the game has ended\\n cls.is_game_over()\\n\\n # Flip to other player\\n cls.flip_player()\\n\\n # Declare winner and clear board\\n if(cls.winner):\\n print(f'{cls.winner} wins!')\\n input('Press enter to play again.')\\n cls.clear_board()\\n else:\\n print(\\\"You can't go there. Asshole.\\\")\",\n \"def run(self):\\n print(\\\"WELCOME TO MINESWEEPER!\\\")\\n\\n\\n while True:\\n\\n self.get_input()\\n start_game(self.rows, self.cols, self.mines)\",\n \"def getMove(player,first_move=False):\\n while True: \\n move = raw_input(\\\"MAKE YOUR MOVE: \\\").upper()\\n\\n # handle special commands\\n if move == \\\"QUIT\\\" or move == \\\"Q\\\":\\n wannaQuit()\\n continue\\n elif move == \\\"QUIT!\\\" or move == \\\"Q!\\\":\\n if SAY_PROC:\\n SAY_PROC.terminate()\\n sys.exit()\\n continue\\n elif move == \\\"HELP\\\" or move == \\\"H\\\":\\n help()\\n continue\\n elif move == \\\"HELP!\\\" or move == \\\"H!\\\":\\n say(helpString())\\n continue\\n elif move == \\\"SHUTUP!\\\" or move == \\\"S!\\\":\\n shutUp(fuck=True)\\n continue\\n elif move == \\\"SHUTUP\\\" or move == \\\"S\\\":\\n shutUp()\\n continue\\n elif move == \\\"BOARD\\\" or move == \\\"B\\\":\\n printBoard()\\n continue\\n elif move == \\\"CLEAR\\\" or move == \\\"C\\\": \\n clearTerminal()\\n printBoard()\\n continue\\n elif move == \\\"CLEAR!\\\" or move == \\\"C!\\\": # TODO board -> clear, you end up with a half drawn new board. clear again fixes this\\n clearTerminalAndBuffer()\\n printBoard()\\n continue\\n elif move == \\\"PASS\\\" or move == \\\"P\\\": \\n if wannaPass():\\n break\\n else:\\n continue\\n elif move == \\\"PASS!\\\" or move == \\\"P!\\\": \\n break\\n \\n # mostly used to catch blank lines or me typing ASFADS like an asshole\\n if len(move) < 7:\\n print \\\"That's too short to be a command.\\\"\\n continue\\n\\n parts=move.split(\\\":\\\")\\n if len(parts) != 3:\\n print \\\"Can't find all the parts of the move command. Maybe you're missing/have too many \\\\\\\":\\\\\\\"?\\\"\\n continue\\n\\n for item in parts:\\n if len(item) == 0:\\n print \\\"Found a blank command. Maybe you left in an extra \\\\\\\":\\\\\\\"?\\\"\\n continue\\n\\n coords = parts[0].replace(\\\" \\\",\\\"\\\") # incase of space inbetween file and rank\\n direction = parts[1].strip()\\n word = parts[2].strip()\\n\\n if not coords[0].isalpha():\\n print \\\"I don't know where to put your word (Bad file coord).\\\"\\n continue\\n\\n if not coords[1:].isdigit():\\n print \\\"I don't know where to put your word (Bad rank coord).\\\"\\n continue\\n\\n x = gridCharToInt(coords[0])\\n y = int(coords[1:]) - 1\\n if 14 < x < 0 or 14 < y < 0:\\n print \\\"Those aren't coords on the board. Valid Files are from A-O, valid Ranks are 1-15.\\\"\\n continue\\n\\n if first_move:\\n if x != 7 or y != 7:\\n print \\\"The first move must start from the center (H8).\\\"\\n continue\\n\\n #compact that command\\n if direction == \\\"ACROSS\\\":\\n direction = \\\"A\\\"\\n elif direction == \\\"DOWN\\\":\\n direction = \\\"D\\\"\\n if direction != \\\"A\\\" and direction !=\\\"D\\\":\\n print \\\"I don't know where to put your word (Across or Down?).\\\"\\n continue\\n \\n score,placed_tiles = checkWords(x,y,direction,word,first_move)\\n if not score: #error reporting is handling in check words\\n continue\\n else:\\n for tile in placed_tiles:\\n if not tile in player.rack:\\n print \\\"You don't have the tiles to play that!\\\"\\n continue\\n player.rack.remove(tile)\\n print player.name+\\\" scored \\\"+str(score)+\\\" on that last play!\\\"\\n player.score+=score\\n for tile in placed_tiles:\\n player.rack.remove(tile)\\n break #YAY\",\n \"def main():\\n\\tcolorama.init()\\n\\n\\n\\n\\tgrid = get_start_grid(*map(int,sys.argv[1:]))\\n\\tprint_grid(grid)\\n\\n\\twhile True:\\n\\t\\tgrid_copy = copy.deepcopy(grid)\\n\\t\\tget_input = getch(\\\"Enter direction (w/a/s/d/n/r/q): \\\")\\n\\t\\tif get_input in functions:\\t\\n\\t\\t\\tfunctions[get_input](grid)\\n\\t\\telif get_input == \\\"n\\\":\\n\\t\\t\\tif get_next_action(grid) == '':\\n\\t\\t\\t\\tprint(\\\"Checkmate!\\\")\\n\\t\\t\\t\\tbreak\\n\\t\\t\\tfunctions[get_next_action(grid)](grid)\\n\\t\\telif get_input == \\\"r\\\":\\n\\t\\t\\tbreak\\n\\t\\telif get_input == \\\"q\\\":\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\tprint(\\\"\\\\nInvalid choice.\\\")\\n\\t\\t\\tcontinue\\n\\t\\tif grid != grid_copy:\\n\\t\\t\\tif not prepare_next_turn(grid):\\n\\t\\t\\t\\tprint_grid(grid)\\n\\t\\t\\t\\tprint(\\\"Well played!\\\")\\n\\t\\t\\t\\tbreak\\n\\t\\tprint_grid(grid)\\n\\t\\n\\tif get_input == \\\"r\\\":\\n\\t\\twhile True:\\n\\t\\t\\tgrid_copy = copy.deepcopy(grid)\\n\\n\\t\\t\\tnext_action = get_next_action(grid)\\n\\t\\t\\tif next_action == '':\\n\\t\\t\\t\\tprint(\\\"Checkmate!\\\")\\n\\t\\t\\t\\tbreak\\n\\t\\t\\t\\n\\t\\t\\tfunctions[next_action](grid)\\n\\t\\t\\tif grid != grid_copy:\\n\\t\\t\\t\\tif not prepare_next_turn(grid):\\n\\t\\t\\t\\t\\tprint_grid(grid)\\n\\t\\t\\t\\t\\tprint(\\\"Well played!\\\")\\n\\t\\t\\t\\t\\tbreak\\n\\t\\t\\tprint_grid(grid)\\n\\n\\tprint(\\\"Thanks for playing.\\\")\",\n \"def play_game():\\n clear()\\n print(\\\" 1 | 2 | 3 \\\\n --- --- --- \\\\n\\\"\\n \\\" 4 | 5 | 6 \\\\n --- --- --- \\\\n\\\"\\n \\\" 7 | 8 | 9 \\\")\\n player = 'Player_one'\\n continue_game = True\\n while continue_game:\\n position = game.ask(player=player)\\n if position is False:\\n print(\\\"Please enter a number from 1-9.\\\")\\n position = game.ask(player=player)\\n clear()\\n update_and_switch = game.update_and_switch(position, player=player)\\n if update_and_switch is False:\\n position = game.ask(player=player)\\n game.update_and_switch(position, player=player)\\n else:\\n player = game.switch_player(player)\\n continue_game = game.evaluate_winner()\\n\\n restart = input(\\\"Do you want to play again? (yes or no)\\\\n\\\").lower()\\n if restart == 'yes':\\n game.list = [\\\" \\\", \\\" \\\", \\\" \\\", \\\" \\\", \\\" \\\", \\\" \\\", \\\" \\\", \\\" \\\", \\\" \\\"]\\n play_game()\\n\\n else:\\n clear()\\n print(\\\"Bye 👋 Hope you had fun!\\\")\",\n \"def player_loop(self):\\n\\n # Generate game tree object\\n first_msg = self.receiver()\\n # Initialize your minimax model\\n model = self.initialize_model(initial_data=first_msg)\\n\\n while True:\\n msg = self.receiver()\\n\\n # Create the root node of the game tree\\n node = Node(message=msg, player=0)\\n\\n # Possible next moves: \\\"stay\\\", \\\"left\\\", \\\"right\\\", \\\"up\\\", \\\"down\\\"\\n best_move = self.search_best_next_move(\\n model=model, initial_tree_node=node)\\n\\n # Execute next action\\n self.sender({\\\"action\\\": best_move, \\\"search_time\\\": None})\",\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 interact():\\r\\n\\tboard = None\\r\\n\\tline = raw_input(\\\"Enter Command (h for help): \\\")\\r\\n\\tline = line.replace(\\\" \\\", \\\"\\\")\\r\\n\\twhile line and line[0] != \\\"q\\\":\\r\\n\\t\\tcommand = line[0]\\r\\n\\t\\tif command == 'n': \\r\\n\\t\\t\\tcoordinates = ast.literal_eval(line[1:])\\r\\n\\t\\t\\trows = coordinates[0]\\r\\n\\t\\t\\tcols = coordinates[1]\\r\\n\\t\\t\\tboard = createBoard(int(rows),int(cols))\\r\\n\\t\\telif command == 'i':\\r\\n\\t\\t\\tliveCells = ast.literal_eval(line[1:])\\r\\n\\t\\t\\tfor cells in liveCells:\\r\\n\\t\\t\\t\\tboard[cells[0]-1][cells[1]-1] = 1\\r\\n\\t\\telif command == 'p':\\r\\n\\t\\t\\tprintBoard(board)\\r\\n\\t\\telif command == 'r':\\r\\n\\t\\t\\tnumOfGens = ast.literal_eval(line[1:])\\r\\n\\t\\t\\tfor n in range(numOfGens):\\r\\n\\t\\t\\t\\tboard = next_life_generation(board)\\r\\n\\t\\t\\t\\tprintBoard2(board)\\r\\n\\t\\telif command == 's':\\r\\n\\t\\t\\tprintBoard2(board)\\r\\n\\t\\telif command == 'd':\\r\\n\\t\\t\\tprintBoard2(board)\\r\\n\\t\\telif command == 'h':\\r\\n\\t\\t\\tprint(\\\"\\\"\\\" \\r\\nCommands:\\r\\nn\\t[height,width] (Create a height * width board)\\r\\ni\\t(initialize life)\\r\\np\\t(print the board)\\r\\ns\\t(display the board)\\r\\nr\\t(advance n generations, displaying each after)\\r\\nh\\t(display this help reminder)\\r\\n\\r\\nq\\t(quit)\\\"\\\"\\\")\\r\\n\\t\\tline = raw_input(\\\"Enter Command (h for help): \\\")\\r\\n\\t\\tline = line.replace(\\\" \\\", \\\"\\\")\\r\\n\\tprint \\\"Life is over\\\\n\\\"\",\n \"def choose_action(self, board, possible_actions):\\r\\n self._print_board(board)\\r\\n while True:\\r\\n user_choice = int(input(\\\"Which Field?\\\"))\\r\\n if user_choice in possible_actions:\\r\\n return user_choice\\r\\n else:\\r\\n print('Action not possible!')\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.72409004","0.64886266","0.6171364","0.59191036","0.59139985","0.5860547","0.57915825","0.5791442","0.5777218","0.57734597","0.5769721","0.5763385","0.5751395","0.5743939","0.5728276","0.5692042","0.56845224","0.5682954","0.56781256","0.56780386","0.5671816","0.5670868","0.56655097","0.5663507","0.56496686","0.55943656","0.5592782","0.55787945","0.55751777","0.55740297","0.5563226","0.55628335","0.554938","0.55492765","0.5539126","0.553318","0.55285054","0.5524531","0.5521579","0.55104035","0.5504342","0.5501734","0.5501111","0.5498762","0.54937494","0.549218","0.5491433","0.5478397","0.5478195","0.54765","0.54728746","0.5472133","0.5466114","0.5455482","0.5454376","0.54515916","0.5443353","0.5435266","0.54266477","0.5424331","0.54232806","0.5421104","0.54192513","0.5416677","0.5414112","0.5404775","0.54008293","0.53854054","0.5355538","0.53508055","0.53507966","0.5330017","0.53268033","0.5326353","0.5325953","0.5322363","0.53219473","0.5319936","0.5316884","0.5312331","0.5311735","0.5310094","0.53096145","0.5309493","0.5302804","0.5302266","0.529988","0.52980065","0.5292381","0.52897596","0.5285153","0.52786034","0.52785814","0.5277133","0.52750534","0.52748126","0.5273247","0.5272842","0.5272222","0.52721655"],"string":"[\n \"0.72409004\",\n \"0.64886266\",\n \"0.6171364\",\n \"0.59191036\",\n \"0.59139985\",\n \"0.5860547\",\n \"0.57915825\",\n \"0.5791442\",\n \"0.5777218\",\n \"0.57734597\",\n \"0.5769721\",\n \"0.5763385\",\n \"0.5751395\",\n \"0.5743939\",\n \"0.5728276\",\n \"0.5692042\",\n \"0.56845224\",\n \"0.5682954\",\n \"0.56781256\",\n \"0.56780386\",\n \"0.5671816\",\n \"0.5670868\",\n \"0.56655097\",\n \"0.5663507\",\n \"0.56496686\",\n \"0.55943656\",\n \"0.5592782\",\n \"0.55787945\",\n \"0.55751777\",\n \"0.55740297\",\n \"0.5563226\",\n \"0.55628335\",\n \"0.554938\",\n \"0.55492765\",\n \"0.5539126\",\n \"0.553318\",\n \"0.55285054\",\n \"0.5524531\",\n \"0.5521579\",\n \"0.55104035\",\n \"0.5504342\",\n \"0.5501734\",\n \"0.5501111\",\n \"0.5498762\",\n \"0.54937494\",\n \"0.549218\",\n \"0.5491433\",\n \"0.5478397\",\n \"0.5478195\",\n \"0.54765\",\n \"0.54728746\",\n \"0.5472133\",\n \"0.5466114\",\n \"0.5455482\",\n \"0.5454376\",\n \"0.54515916\",\n \"0.5443353\",\n \"0.5435266\",\n \"0.54266477\",\n \"0.5424331\",\n \"0.54232806\",\n \"0.5421104\",\n \"0.54192513\",\n \"0.5416677\",\n \"0.5414112\",\n \"0.5404775\",\n \"0.54008293\",\n \"0.53854054\",\n \"0.5355538\",\n \"0.53508055\",\n \"0.53507966\",\n \"0.5330017\",\n \"0.53268033\",\n \"0.5326353\",\n \"0.5325953\",\n \"0.5322363\",\n \"0.53219473\",\n \"0.5319936\",\n \"0.5316884\",\n \"0.5312331\",\n \"0.5311735\",\n \"0.5310094\",\n \"0.53096145\",\n \"0.5309493\",\n \"0.5302804\",\n \"0.5302266\",\n \"0.529988\",\n \"0.52980065\",\n \"0.5292381\",\n \"0.52897596\",\n \"0.5285153\",\n \"0.52786034\",\n \"0.52785814\",\n \"0.5277133\",\n \"0.52750534\",\n \"0.52748126\",\n \"0.5273247\",\n \"0.5272842\",\n \"0.5272222\",\n \"0.52721655\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6859589"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":4770,"cells":{"query":{"kind":"string","value":"gathers selected cards in order to take action on selected cards (either discarding them or preparing them)"},"document":{"kind":"string","value":"def gatherSelected(self):\n self.selected_list = []\n for element in self.hand_info:\n if element.status == 1:\n self.selected_list.append(element)\n return self.selected_list"},"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 pick(self, pack, cards_owned, draft_info):\n pass","def card_sel(\n self, num=1, **kwargs\n ): # pylint: disable=too-many-locals, too-many-branches\n selectfrom = self.card_selSource(**kwargs)\n force = kwargs[\"force\"] if \"force\" in kwargs else False\n showdesc = kwargs[\"showdesc\"] if \"showdesc\" in kwargs else True\n verbs = kwargs.get(\"verbs\", (\"Select\", \"Unselect\"))\n\n if \"prompt\" in kwargs:\n self.output(kwargs[\"prompt\"])\n\n if \"anynum\" in kwargs and kwargs[\"anynum\"]:\n anynum = True\n num = 0\n else:\n anynum = False\n\n selected = []\n types = kwargs[\"types\"] if \"types\" in kwargs else {}\n types = self._type_selector(types)\n while True:\n options = []\n if (\n anynum\n or (force and num == len(selected))\n or (not force and num >= len(selected))\n ):\n o = Option(selector=\"0\", verb=\"Finish Selecting\", card=None)\n options.append(o)\n index = 1\n for c in sorted(selectfrom):\n if \"exclude\" in kwargs and c.name in kwargs[\"exclude\"]:\n continue\n if not self.select_by_type(c, types):\n continue\n sel = \"%d\" % index\n index += 1\n if c not in selected:\n verb = verbs[0]\n else:\n verb = verbs[1]\n o = Option(selector=sel, verb=verb, card=c, name=c.name)\n if showdesc:\n o[\"desc\"] = c.description(self)\n if kwargs.get(\"printcost\"):\n o[\"details\"] = str(self.card_cost(c))\n if kwargs.get(\"printtypes\"):\n o[\"details\"] = c.get_cardtype_repr()\n options.append(o)\n ui = self.user_input(options, \"Select which card?\")\n if not ui[\"card\"]:\n break\n if ui[\"card\"] in selected:\n selected.remove(ui[\"card\"])\n else:\n selected.append(ui[\"card\"])\n if num == 1 and len(selected) == 1:\n break\n return selected","def card(bot, update):\n query = update.callback_query\n user = query.from_user\n chat_id = query.message.chat_id\n selected_card = query.data\n\n if (chats[chat_id].player1.card_played == []) and (chats[chat_id].player2.card_played == []):\n bot.send_message(text=Strings.CARD_SELECTED.format(user.first_name),\n chat_id=query.message.chat_id,\n message_id=query.message.message_id,\n parse_mode=ParseMode.MARKDOWN,\n isgroup=True)\n if chats[chat_id].player1.user == user:\n chats[chat_id].player1.card_played = chats[chat_id].player1.hand[int(selected_card)]\n chats[chat_id].player1.hand.remove(chats[chat_id].player1.hand[int(selected_card)])\n\n elif chats[chat_id].player2.user == user:\n chats[chat_id].player2.card_played = chats[chat_id].player2.hand[int(selected_card)]\n chats[chat_id].player2.hand.remove(chats[chat_id].player2.hand[int(selected_card)])\n return CARD\n\n else:\n if chats[chat_id].player1.user == user and chats[chat_id].player1.card_played != []:\n bot.send_message(text=Strings.CARD_SELECTED2.format(user.first_name),\n chat_id=query.message.chat_id,\n message_id=query.message.message_id,\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\n return CARD\n elif chats[chat_id].player2.user == user and chats[chat_id].player2.card_played != []:\n bot.send_message(text=Strings.CARD_SELECTED2.format(user.first_name),\n chat_id=query.message.chat_id,\n message_id=query.message.message_id,\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\n return CARD\n else:\n if chats[chat_id].player1.user == user:\n chats[chat_id].player1.card_played = chats[chat_id].player1.hand[int(selected_card)]\n chats[chat_id].player1.hand.remove(chats[chat_id].player1.hand[int(selected_card)])\n\n elif chats[chat_id].player2.user == user:\n chats[chat_id].player2.card_played = chats[chat_id].player2.hand[int(selected_card)]\n chats[chat_id].player2.hand.remove(chats[chat_id].player2.hand[int(selected_card)])\n\n bot.edit_message_text(text=Strings.CARD_SELECTED.format(user.first_name),\n chat_id=query.message.chat_id,\n message_id=query.message.message_id,\n parse_mode=ParseMode.MARKDOWN)\n bot.send_message(chat_id,\n Strings.SELECTION_COMPLETED,\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\n\n reply_markup = ReplyKeyboardMarkup(c_b_keyboard, selective=False)\n bot.send_message(chat_id,\n Strings.QUESTION,\n reply_markup=reply_markup,\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\n return BET_CHECK","def choose_card(playable_cards):\r\n\r\n playing = playable_cards[0]\r\n print('\\n choosing \\n', playing)\r\n\r\n return playing # for now\r","def next_card_selection(deck):\n # First grab the colors and format\n # Then generate the query, execute, and trim\n # Then get the selections, and return them!\n colors = deck['colors']\n deck_format = deck['format']\n seed = deck.get('seed')\n\n query_type = pick_next_card_query(deck_format, seed)\n trimmed_query_results = compile_execute_and_trim_query(colors, query_type, deck_format)\n selections = generate_pickable_selections(trimmed_query_results, deck_format, deck)\n print('QUERY: ', query_type, ' NUM RESULTS:', len(trimmed_query_results))\n\n return selections","def choose_card_to_discard(self):\n random.choice(self.hand.card_list).use()","def select_card(self, cards):\n idx = -1 # should not be inital value\n while True:\n print(\"Please select a card by index:\")\n inpt = self.input(list(enumerate(cards)))\n try:\n idx = int(inpt)\n except ValueError:\n print(f\"'{inpt}' is not a valid index.\")\n if idx < 0 or idx >= len(cards):\n print(f\"The index {idx} is not available.\")\n else:\n break\n assert idx != -1 # make sure it's not initial value\n return cards.pop(idx)","def cards(self, cards):\n\n self._cards = cards","def cards(self, cards):\n\n self._cards = cards","def choose_card(self, state=None):\n # if self.at_last_stich():\n # allowed = yield self.cards[0]\n # else:\n self.observation_received.acquire()\n self.observation = self.build_observation(state, self.cards)\n logger.debug(f\"choose_card received observation: {self.observation}\")\n self.observation_received.notify_all() # notify all threads to be sure\n self.observation_received.release()\n\n self.action_received.acquire()\n received = self.action_received.wait()\n if not received:\n logger.debug(\"Timeout occurred. action_received condition has not been notified.\")\n logger.debug(f\"choose_card received action: {self.action}\")\n allowed_cards = self.allowed_cards(state=state)\n chosen_card = allowed_cards[0] # set chosen_card to the first allowed card in case anything goes south\n chosen_card = self.set_chosen_card(allowed_cards, chosen_card)\n self.action_received.release()\n\n allowed = yield chosen_card\n\n if allowed:\n yield None","def set_chosen_card(self, allowed_cards, chosen_card):\n if self.action is not None:\n if self.action in allowed_cards:\n logger.info(f\"Successfully chose the card: {self.action}\")\n chosen_card = self.action\n else:\n logger.error(f\"{self.action} is not a valid card! Choosing the first allowed card now.\")\n else:\n logger.debug(\"chosen card is None\")\n return chosen_card","def play_selected_card(_screen, player):\n card = Card(player.selected_card.card_id, 400, 350)\n card.image_of_card(_screen)","def play_all(self):\n for _ in range(self._hand.size()):\n card = self._hand.pop()\n self._active.push(card)\n self._money = self._money + card.money\n self._attack = self._attack + card.attack\n print '\\nPlayed all cards!'","def deal_cards():\n for _ in range(2):\n user_cards.append(random.choice(deck))\n dealer_cards.append(random.choice(deck))","def cards(self) -> None:\n self._cards = []","def Deal():\r\n cardsout = []\r\n cardoptions = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]\r\n topcardoptions = [0,2,3,4,5,6]\r\n topcard = topcardoptions[random.randint(0,5)]\r\n cardoptions.pop(cardoptions.index(topcard))\r\n cardsout.append(topcard)\r\n\r\n if SHOWHAPPENINGS == True:\r\n disp = card_dict[topcard]\r\n print(\"Topcard is: {}\".format(disp)) \r\n\r\n for i in range(4):\r\n numcards = 0\r\n while numcards < 5:\r\n possiblerange = len(cardoptions) - 1\r\n cardindex = random.randint(0,possiblerange)\r\n card = cardoptions[cardindex]\r\n cardsout.append(card)\r\n cardoptions.pop(cardoptions.index(card))\r\n PlayerHands[i].append(card)\r\n numcards += 1\r\n PlayerHands[i] = sorted(PlayerHands[i]) #putting into ascending order\r\n if i == 0 or i == 2:\r\n PlayerHands[i].append(\"RedTeam\")\r\n else: \r\n PlayerHands[i].append(\"BlackTeam\")\r\n \r\n PlayerHands[0].append(PLAYER1)\r\n PlayerHands[1].append(PLAYER2)\r\n PlayerHands[2].append(PLAYER3)\r\n PlayerHands[3].append(PLAYER4)\r\n #PlayerHand format = [card1,card2,card3,card4,card5,Team,Name]\r\n\r\n return topcard","def going_out(self, cards):\n for card in cards:\n self.out_of_use.append(int(card))\n # print(self.out_of_use)","def followUpAttack(self, validCards):\n print(\"Select card from... \")\n cardManager.printHand(validCards)\n card = int(input(\"to your attack: \"))\n while card not in validCards: # error checking\n print(card)\n print(\"Please select a valid card from...\")\n cardManager.printHand(validCards)\n card = int(input(\"to your attack: \"))\n self.currentHand.remove(card)\n card = self.checkDoubles(card)\n return card","def clearCards(self):\r\n self.cards = []","def __init__(self):\r\n self.cards = []","def open_cards(self) -> None:\r\n self.dealer.deal_cards_to(self.card_stack, PokerRules.CARDS_PER_ROUND[self.round_num])","def get_card_list(self):\n return self.cards","def __init__(self):\n self._cards = []","def upgrade_all_cards(self):\n self.game.go_to_comic_cards()\n logger.info(\"Comic Cards: upgrading all available cards.\")\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=3, ui_element=self.ui['CARDS_UPGRADE_ALL']):\n self.emulator.click_button(self.ui['CARDS_UPGRADE_ALL'].button)\n for card_index in range(1, 6):\n card_select_ui = self.ui[f'CARDS_SELECT_GRADE_{card_index}']\n self.emulator.click_button(card_select_ui.button)\n logger.debug(f\"Comic Cards: starting to upgrade UI Element {card_select_ui.name}\")\n if not wait_until(self.emulator.is_image_on_screen, timeout=3, ui_element=card_select_ui):\n logger.warning(\"Comic Cards: can't select card's grade.\")\n continue\n logger.debug(f\"Comic Cards: successfully selected UI Element {card_select_ui.name}\")\n self.emulator.click_button(self.ui['CARDS_SELECT_GRADE'].button)\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=3,\n ui_element=self.ui['CARDS_UPGRADE_CONFIRM']):\n self.emulator.click_button(self.ui['CARDS_UPGRADE_CONFIRM'].button)\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=10,\n ui_element=self.ui['CARDS_UPGRADE_RESULTS_OK']):\n logger.debug(f\"Comic Cards: successfully upgraded UI Element {card_select_ui.name}\")\n self.emulator.click_button(self.ui['CARDS_UPGRADE_RESULTS_OK'].button)\n wait_until(self.emulator.is_image_on_screen, timeout=3, ui_element=card_select_ui)\n continue\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=3, ui_element=self.ui['CARDS_UPGRADE_ALL_CANCEL']):\n self.emulator.click_button(self.ui['CARDS_UPGRADE_ALL_CANCEL'].button)\n self.close_after_mission_notifications()\n self.game.go_to_main_menu()","def __init__(self, cards):\n self.cards = cards","def user_turn(self):\r\n\r\n self.display_state() # display the current state\r\n print(\r\n '\\nTURN: You -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-')\r\n # Get the row and col number of the card you want to select\r\n x1, y1 = self.input_validation('Enter the location of the first card you pick (row, col) -> ')\r\n self.selected = [x1, y1] # a temporary holder for the first choice\r\n\r\n # Get the corresponding card ID which is also the key for the dictionary with all the cards\r\n choice1_key = self.state[x1, y1]\r\n print('The card you selected: {0}'.format(self.deck[choice1_key]))\r\n\r\n # Repeat this for your second choice\r\n x2, y2 = self.input_validation('Enter the location of the second card you pick (row, col) -> ')\r\n self.selected = [-1, -1] # reset the temporary hold\r\n\r\n choice2_key = self.state[x2, y2]\r\n print('The card you selected: {0}'.format(self.deck[choice2_key]))\r\n\r\n # Check if the two cards are a match or not\r\n if self.check_card(self.deck[choice1_key], self.deck[choice2_key]):\r\n print('MATCH')\r\n # Replace the corresponding cards in the remaining inventory and state with -1\r\n self.remaining[choice1_key] = -1\r\n self.remaining[choice2_key] = -1\r\n self.state[x1, y1] = -1\r\n self.state[x2, y2] = -1\r\n self.player_cards += 2 # the player gets 2 cards\r\n self.bin.append([x1, y1]) # move the location of the card to the already-taken bin\r\n self.bin.append([x2, y2])\r\n self.forget_memory(choice1_key) # remove from computer's memory\r\n self.forget_memory(choice2_key)\r\n self.match = 1 # player will continue to choose cards\r\n else:\r\n print('NOT a match')\r\n # Add these cards to the computer's memory\r\n self.computer_memory[choice1_key] = [x1, y1]\r\n self.computer_memory[choice2_key] = [x2, y2]\r\n self.match = 0 # computer's turn\r","def test_consumed_cards(self):\n game = TestGames.replay(9, [3, 1, 0, 0])\n consumed_cards = game.consumed_cards()\n self.assertEqual(len(consumed_cards), 8)\n\n self.assertListEqual(list(consumed_cards),\n [2 / 5, # guards\n 0 / 2, # priest\n 1 / 2, # baron\n 0 / 2, # handmaid\n 1 / 2, # prince\n 0 / 1, # king\n 0 / 1, # countess\n 0 / 1]) # princess","def deliver_card(data, access=None):\n\n schema = get_card_schema(data)\n if not schema:\n schema = card_schema\n data = deepcopy(data)\n\n if access is 'learn' and data['kind'] is 'choice':\n if data['order'] == 'random':\n shuffle(data['options'])\n\n if data['max_options_to_show']:\n data['options'] = data['options'][:data['max_options_to_show']]\n\n return deliver_fields(schema, data, access)","def all_cards_selected(self, game_key):\n participants = models.Participant.query(\n models.Participant.playing == True,\n models.Participant.selected_card == None,\n ancestor=game_key).fetch()\n logging.debug(\"participants who have not selected a card: %s\", participants)\n if participants:\n return False\n else:\n return True","def draw_a_card(cards):\n import random\n card_drawn = random.choices(card_deck)\n cards.append(card_drawn[0])\n return","def deal_card():\r\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\r\n return (random.choice(cards))","def attack(self): # need to check defenders handcount\n \"\"\"Always returns a list of values\"\"\"\n if self.AI:\n # return rand.randint(0,len(self.currentHand))\n Error(\"AI not yet implemented for Attacking\")\n else:\n print(\"Select card from... \")\n cardManager.printHand(self.currentHand)\n card = int(input(\"to your attack: \"))\n while card not in self.currentHand: # error checking\n print(\"Please select a valid card from...\", end = \" \")\n cardManager.printHand(self.currentHand)\n card = int(input())\n self.currentHand.remove(card)\n card = self.checkDoubles(card)\n return card","def test_cards_get(self):\n pass","def hit(self, deck):\n self.cards.append(deck.draw_card())","def dealer_card_choice(update, context):\n query = update.callback_query\n if query.message.reply_to_message:\n user = query.message.reply_to_message.from_user\n else:\n user = query.message.chat\n bot = context.bot\n CURRENT_USER = USERS[user.username]\n CURRENT_CONTEXT = process_card_value(query.data, CURRENT_USER)\n message = f'Round: {CURRENT_CONTEXT[\"round\"]} ({CURRENT_CONTEXT[\"username\"]}) \\nDealers Card: {CURRENT_CONTEXT[\"dealer_card\"]}\\nYour Cards: {CURRENT_CONTEXT[\"player_cards\"]} \\nYour total: {CURRENT_CONTEXT[\"player_total\"]} \\n\\nChoose Dealers Card: '\n bot.edit_message_text(\n chat_id=query.message.chat_id,\n message_id=query.message.message_id,\n text=message,\n reply_markup=card_markup\n )\n\n # Tell ConversationHandler that we're in state `STRATEGY` now\n return STRATEGY","def get_game_cards(gameId):\n pass","def indicate_discard_card(whose_turn,players):\n cards_to_choose_from = players[whose_turn].hand.cards\n players[whose_turn].hand.print_cards()\n chosen_to_discard = int(input('Select a card to discard. Type a number. '))\n return chosen_to_discard","def get_card_sets(self, name: str) -> List:","def get_card(self, card):\n\n\t\tself.add_card_to_grps(card)\n\n\t\tself.grps = sorted(self.grps, key = lambda x: -len(x))\n\n\n\t\t# check if # of cards forming sets is more than 5; if yes, then break the set to allow computer to form runs\n\t\tnum_set_cards = 0\n\t\tpos = -1\n\t\tfor i in range(len(self.grps)):\n\t\t\tif len(self.grps[i]) > 1 and self.grps[i][0] == self.grps[i][1]:\n\t\t\t\tnum_set_cards += len(self.grps[i])\n\t\t\t\tpos = i\n\n\t\tif num_set_cards > 5:\n\t\t\tcard = self.grps[pos][-1]\n\t\t\tself.grps[pos].remove(card)\n\t\t\tlogger.info(f\"In computer.py/get_card: computer returned {card} to break too many set, computer = {self}\")\n\t\t\treturn card\n\n\n\t\t# if # of sets is fine, then remove a card from the group with least size\n\t\tcard = self.grps[-1][-1]\n\n\t\t\n\t\tif len(self.grps[-1]) == 1:\n\t\t\tself.grps.remove(self.grps[-1])\n\t\telse:\n\t\t\tself.grps[-1].remove(self.grps[-1][-1])\n\n\t\tlogger.info(f\"In computer.py/get_card: computer returned {card}, computer = {self}\")\n\n\t\treturn card","def cards(\n self,\n cards: Union[List[Tuple[int, str, str]], List[Any]]\n ) -> None:\n self._cards: List[List[Tuple[int, str, str]]] = [cards]","def deal_card():\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\n card = random.choice(cards)\n return card","def get_cards(self):\n card = self._starting_card\n return card","def __init__(self, cards = []):\n self.cards=cards","def receive_card(self, card: Card) -> None:\n\t\tself.deck.append(card)\n\t\t\n\t\t# Sorts the Deck by type and colour for aesthetic purposes\n\t\t\"\"\"self.deck.sort(key=lambda x: repr(x.type))\n\t\tself.deck.sort(key=lambda x: repr(x.colour))\"\"\"","def choice():\n list_cards = [0, 0, 0, 0, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 9, 9,\n 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]\n list_cards= list_cards*4\n play_1 = random.choice(list_cards)\n list_cards_1 = list_cards\n list_cards_1.remove(play_1)\n dealer_1 = random.choice(list_cards_1)\n list_cards_1.remove(dealer_1)\n play_2 = random.choice(list_cards_1)\n list_cards_1.remove(play_2)\n dealer_2 = random.choice(list_cards_1)\n list_cards_1.remove(dealer_2)\n list1=[play_1,play_2]\n list=[dealer_1,dealer_2]\n return (list1,list,list_cards_1)","def card_selSource(self, **kwargs):\n if \"cardsrc\" in kwargs:\n if kwargs[\"cardsrc\"] == \"hand\":\n selectfrom = self.piles[Piles.HAND]\n elif kwargs[\"cardsrc\"] == \"played\":\n selectfrom = self.piles[Piles.PLAYED]\n elif kwargs[\"cardsrc\"] == \"discard\":\n selectfrom = self.piles[Piles.DISCARD]\n else:\n selectfrom = kwargs[\"cardsrc\"]\n else:\n selectfrom = self.piles[Piles.HAND]\n return selectfrom","def selectAmbassadorInfluence(self, choices, influenceRemaining):\n # todo: raise notImplemented. should be overriden by the input class\n \n selected = []\n for i in range(influenceRemaining):\n card = random.choice(choices)\n selected.append(card)\n choices.remove(card)\n \n return selected","def get_cards(query_param):\n return _query_scryfall(query_param)","def add_card(self, added_cards):\n\n self.hand[:0] = added_cards","def deal_cards(self):\n aux = random.randint(0, len(self.deck))\n card = self.deck[aux]\n self.deck.pop(aux)\n print(f\"Received: {card}\")\n return card","def cards(self):\n return self._cards","def test_cards_get_list(self):\n pass","def step(self, action):\n assert self.completed_rounds < self.num_rounds\n\n player = self.players[self.current_player_id]\n card = action\n\n if card not in player.hand:\n raise ValueError(\"Action not allowed because the card is not in the player's hand\")\n\n player.hand.remove(card)\n player.played.add(card)\n # print(f\"Player {self.current_player_id} with hand {[c.id for c in player.hand]} played the card {card.id}\")\n best_combination_on_the_table = self._get_best_combination(card)\n if best_combination_on_the_table:\n self.last_player_capturing_id = self.current_player_id\n player.captured.add(card)\n for c in best_combination_on_the_table:\n self.table.remove(c)\n player.captured.add(c)\n if not self.table and not (self._is_last_round and self._is_round_over()):\n player.scope += 1\n else:\n self.table.add(card)\n # print(f\"Cards on the table after play: {[c.id for c in self.table]}\")\n\n if self._is_round_over():\n self.completed_rounds += 1\n # print(f\"=========== Round {self.current_round} completed ============\")\n self.current_player_id = (self.current_player_id + 1) % self.num_players\n\n if self.is_over():\n last_player_capturing = self.players[self.last_player_capturing_id]\n # print(f\"Giving the remaining cards to player {last_player_capturing.player_id}\")\n for card in self.table:\n last_player_capturing.captured.add(card)\n self.table = set()\n assert all([len(p.played) == 10 for p in self.players])\n assert all([len(p.hand) == 0 for p in self.players])\n return self.get_state(), self.current_player_id","def action_hit(self) -> None:\n print(self.deal_card(self.user))","def check_selected_card(_player1, _player2):\n if _player1.selected_card and _player2.selected_card:\n color = _player1.selected_card.suit\n if _player2.selected_card.suit != color and check_color_card(_player2, color):\n _player2.selected_card = None","def collect_cards():\n \n cards_list = []\n while (cards_input := input(\"Enter card: \")) != '#':\n i = cards_input.upper()\n if not is_valid(i):\n print(f\"Please enter a valid card.\")\n continue\n cards_list.append(i)\n cards_decoded = [Board.translate(card) for card in cards_list]\n return cards_decoded","def Send_newCards(self, cards): \n serialized = [c.serialize() for c in cards]\n self.Send({\"action\": \"newCards\", \"cards\": serialized})","def __init__(self):\n self.cards = [Card(face=card[0], value=card[1], suit=suit)\n for card in CARD_VALUES().items() for suit in CARD_SUITS()]","def check_card_action(self, card):\n if card.value == \"7\":\n self.seven_punishment()\n elif card.value == \"8\":\n self.eight_punishment()\n elif card.value == \"9\":\n self.nine_punishment()\n elif card.value == \"B\":\n self.jack_wish()","def hook_buy_this_card(self, game, player):\n totrash = [c for c in player.piles[Piles.PLAYED] if c.isTreasure()]\n for c in totrash:\n player.output(f\"Mint trashing {c.name}\")\n player.trash_card(c)","def get_card_info_list(self):\n self._get_card_info_list = pa_card_info_cb_t(self._card_info_cb)\n pa_context_get_card_info_list(self._context,\n self._get_card_info_list,\n None)","def hit(self, deck):\n self.showOneCard = False\n while self.getPoints() < 17:\n self.cards.append(deck.deal())","def __refresh_search_results(self):\n\n # Define the query\n try:\n query = CardQuery()\n query.max_count = int(self.__box_count.get_text())\n query.max_proficiency = self.__combo_proficiency.get_index()\n query.max_score = float(self.__box_score.get_text())\n if self.__combo_card_type.get_index() > 0:\n query.card_type = getattr(WordType, self.__combo_card_type.get_text())\n except:\n cards = []\n traceback.print_exc()\n else:\n # Query the cards\n cards = []\n for card in self.__cards_source.get_cards():\n study_data = self.__study_database.get_card_study_data(card)\n if query.matches(card, study_data):\n cards.append((card, study_data))\n\n # Sort the list\n sort_method = self.__combo_sort.get_text()\n if sort_method == SortMethod.RANDOM:\n random.shuffle(cards)\n all_cards = list(cards)\n cards = []\n while all_cards and len(cards) < query.max_count:\n index = random.randrange(len(all_cards))\n elem = all_cards[index]\n del all_cards[index] \n cards.append(elem)\n elif sort_method == SortMethod.LOWEST_SCORE:\n cards.sort(key=lambda x: x[1].get_history_score())\n elif sort_method == SortMethod.OLDEST:\n cards.sort(key=lambda x: x[1].get_last_encounter_time() or x[1].get_history_score())\n elif sort_method == SortMethod.NEWEST:\n cards.sort(key=lambda x: x[1].get_last_encounter_time() or x[1].get_history_score(), reverse=True)\n\n cards = cards[:query.max_count]\n\n # Define the study params\n params = StudyParams()\n params.random_side = self.__combo_side.get_index() == 0\n params.random_form = self.__checkbox_random_forms.is_checked()\n params.shown_side = (CardSide.English if self.__combo_side.get_index() == 1\n else CardSide.Russian)\n self.__study_params = params\n\n # Define the scheduler params\n self.__scheduler_params = SchedulerParams(\n max_repetitions=1 if self.__checkbox_only_once.is_checked() else 0)\n \n # Popluate the table\n self.__table_cards.clear()\n for card, study_data in cards:\n color = Config.proficiency_level_colors[study_data.get_proficiency_level()]\n row = self.__table_cards.add(card, color=color)\n cards = [card for card, _ in cards]\n\n self.__cards = cards\n self.__button_begin.set_enabled(len(cards) > 0 and self.__study_params)\n self.__label_result_count.set_text(\"{} Results\".format(len(self.__cards)))","def hit(\n self,\n card: List[Tuple[int, str, str]],\n card_index: int = 0\n ) -> None:\n self._cards[card_index].extend(card)","def refresh(self):\n self.deck = []\n\n for _suit in Suit:\n for _face in Face:\n self.insert(Card(_suit, _face, self))","def _cards_getter(self):\n pass","def add_cards(self, cards):\n self.get_cards().extend(cards)","async def get_available_cards(self, game_id): # pass in a list of card ids\n all_cards = await self.get_all_cards()\n available_cards = []\n game = await self.get_game(game_id)\n player1_cards = await self.get_current_cards(game[1])\n player2_cards = await self.get_current_cards(game[2])\n for card in all_cards:\n if card not in player1_cards and card not in player2_cards:\n available_cards.append(card)\n return available_cards","def draw_card(self, card):\n self.current_hand.append(card)","def get_selected_card(self, pos, double_clicking=False):\n if self.selectable:\n double_select = False\n relative_pos_x = pos[0] - self.x\n relative_pos_y = pos[1] - self.y\n mouse_pos = (relative_pos_x, relative_pos_y)\n self.selected_card = -1\n if not self.draw_from_last:\n for i, card in enumerate(reversed(self.cards)):\n if card.rect.collidepoint(mouse_pos):\n self.selected_card = len(self.cards) - 1 - i\n break\n else:\n for i, card in enumerate(self.cards):\n if card.rect.collidepoint(mouse_pos):\n self.selected_card = i\n break\n\n if self.prev_selected[-1] == self.selected_card:\n if not double_clicking:\n self.selected_card = -1\n\n self.record_selected_history()\n self.update_deck_display()\n\n selected_history = [sel for sel in self.prev_selected if sel >= 0]\n\n return (len(selected_history) == 2 and self.prev_selected.count(self.selected_card) == 2\n and self.selected_card >= 0) and double_clicking\n return False","def deal_card():\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\n random_card = random.choice(cards)\n return random_card","def select_card(player, _mouse_x=None, _mouse_y=None):\n if _mouse_x:\n for card in player.cards:\n lower_x = card.positionx\n lower_y = card.positiony\n if lower_x < _mouse_x < lower_x + 100 and lower_y < _mouse_y < lower_y + 100:\n player.selected_card = card","def receive_chance_card(self, card):\r\n self.chance_cards.append(card)","def build_deck_screen_my_deck_card_display(screen,buttons, screen_status, button_status, card_database_filter, user):\n # Draw the character card\n if user.character_card == '':\n pass\n else:\n user.character_card.rect.x = 65\n user.character_card.rect.y = 600\n screen.blit(user.character_card.image, user.character_card.rect)\n #Clear duplicate amount each frame and render the refined list\n for card_new in user.deck_list:\n card_new.duplicate = 1\n local_store_list = build_deck_screen_my_deck_card_list_refine(user)\n #use refined list to draw\n rect_position_x = 245 #local variables for rect position for the first card in the user deck\n rect_position_y = 600\n row_number = 1\n #Display cards in local_store_list:\n\n if screen_status.build_deck_screen_my_deck_page_id <= 0:\n screen_status.build_deck_screen_my_deck_page_id = 1\n # Edge cases when len() = 6,12,18....\n if len(local_store_list) % 6 == 0 and len(local_store_list) != 0:\n if screen_status.build_deck_screen_my_deck_page_id >= (len(local_store_list))//6 + 1:\n screen_status.build_deck_screen_my_deck_page_id = (len(local_store_list))//6 + 0\n\n else:\n if screen_status.build_deck_screen_my_deck_page_id >= (len(local_store_list))//6 + 2:\n screen_status.build_deck_screen_my_deck_page_id = (len(local_store_list))//6 + 1\n # Algorithm to draw all cards in local_store_list, 6 card per page.\n for card in local_store_list[6*(screen_status.build_deck_screen_my_deck_page_id - 1):6 * screen_status.build_deck_screen_my_deck_page_id]:\n if row_number <= 6:\n card.rect.x = rect_position_x\n card.rect.y = rect_position_y\n screen.blit(card.image, card.rect)\n rect_position_x += 145\n row_number += 1\n build_deck_screen_my_deck_duplicate_number_display(card, screen)\n if row_number >= 7:\n row_number = 1","def deal_cards(self):\n self.card = random.randint(1, 13)\n return self.card","def deal_opening_cards(self) -> None:\r\n for i in range(self.num_of_players):\r\n self.dealer.deal_cards_to(self.players[i].cards_stack, PokerRules.CARDS_PER_PLAYER)","def cards_to_deal(cls, context={}):\n\t\traise NotImplementedError()","def cards():\n if user_loggined():\n user = models.User.query.get(session['user_id'])\n u_cards = user.cards.all()\n prep_cards = []\n for card in u_cards:\n prep_cards.append(card.type + ' **** '+card.cnb[-9:])\n else:\n return redirect(url_for('index'))\n return redirect(url_for('index'))","def take(self, table):\n # take card\n self.hand.add(table.card)\n table.card = table.cards.pop()\n # take chips\n self.chips += table.chips\n table.chips = 0","def receive_card(self, card, new_suite=None, is_using_chameleon=False):\n assert isinstance(card, tuple)\n assert len(card) == 2\n\n if card.value == 14 or card.value == self.chameleon and is_using_chameleon:\n assert new_suite != None, print('You must specify a new suite.')\n assert new_suite in ['hearts', 'spades', 'diamonds', 'clubs']\n\n self.current_suite = new_suite\n self.current_value = None\n\n else:\n self.cards.append(card)\n self.current_suite = card.suite\n self.current_value = card.value","def card_output():\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\n return random.choice(cards)","def initial_draw(self):\n self.player.take_card(self.deck)\n self.dealer.take_card(self.deck)\n self.player.take_card(self.deck)\n self.dealer.put_face_down(self.deck)","def get_options(cls, player, context={}):\n\t\toptions = []\n\t\tfor card in player.hand:\n\t\t\tif cls.can_be_played(card, context):\n\t\t\t\toptions.extend(card.actions)\n\t\toptions.append(Action(None, \"DRAW\", [DrawCard]))\n\t\treturn options","def check_cards_eligibility(self):\n for c in self.hand:\n c.check_actions(self)\n for c in self.phand:\n c.check_actions(self)\n for c in self.discard:\n c.check_actions(self)\n for c in self.active_player.phand:\n c.check_actions(self)\n for c in self.active_player.hand:\n c.check_actions(self)\n for c in self.active_player.discard:\n c.check_actions(self)\n for c in self.played_user_cards:\n c.check_actions(self)\n if ACTION_KEEP in self.actions:\n for p in self.players:\n for c in p.phand:\n c.check_actions(self)\n for c in p.hand:\n c.check_actions(self)\n for c in p.discard:\n c.check_actions(self)","def get_hand(self):\n return self.cards","def get_cards(self):\n return deepcopy(self._cards)","def lobby_screen_pick_deck_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\n # Pick deck text\n button_text_1 = Button('Pick an exist deck or create a new one: ','', (250,250,250),400, 100, 400, 35, font_color = (0,0,0), alpha = 150)\n button_text_1.update()\n button_text_1.draw(screen)\n\n # Deck list buttons\n with open('user_deck_list_string.txt','r') as f:\n f.seek(0)\n if len(f.readlines()) >= 12:\n pass\n else:\n button_new_deck = Button('+ New Deck','', (250,250,250),1020, 110, 120, 35, font_color = (0,0,0), alpha = 150)\n button_new_deck.update()\n button_new_deck.draw(screen)\n\n\n f.seek(0)\n x = len(f.readlines())\n y = 0\n deck_list_index = 0\n\n for i in range(1,7):\n f.seek(0)\n for line in f:\n if 'DECK_LIST_' + str(i) not in line:\n y += 1\n if y < x: # DECK_LIST_i exist\n f.seek(0)\n for line in f:\n if 'DECK_LIST_' + str(i) in line:\n deck_length = len(make_card_list_from_string(line.replace('DECK_LIST_' + str(i) + ' = ', ''), ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2))\n # deck_length = int((len(line.replace('DECK_LIST_' + str(i) + ' = ', '')) -1)/14)\n if 'CHARACTER_' + str(i) in line:\n character_length = 1\n character_card = eval('card_' + line.replace('CHARACTER_' + str(i) + ' = ', '')[7:12])\n\n if user.deck_list_index == str(i):\n\n button_top = Button(character_card.name + ': ','', (100,30,130),85 + 180* (i-1), 165, 130, 60)\n button_top.update()\n button_top.draw(screen)\n\n if deck_length < 40:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50, font_color = (250,0,0))\n button_bottom.update()\n button_bottom.draw(screen)\n else:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50)\n button_bottom.update()\n button_bottom.draw(screen)\n\n else:\n\n button_top = Button(character_card.name + ': ','', (160,160,160),85 + 180* (i-1), 165, 130, 60, alpha = 240)\n button_top.update()\n button_top.draw(screen)\n\n if deck_length < 40:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, font_color = (200,0,0), alpha = 240)\n button_bottom.update()\n button_bottom.draw(screen)\n else:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, alpha = 240)\n button_bottom.update()\n button_bottom.draw(screen)\n\n y = 0\n\n else: # DECK_LIST_i not exist\n\n button = Button('Empty','', (200,200,200),85 + 180* (i-1), 165, 130, 110, alpha = 80)\n button.update()\n button.draw(screen)\n\n y = 0\n\n\n for i in range(1,7):\n if user.deck_list_index == str(i):\n button_edit = Button('Edit','', (50,50,170),85 + 180* (i-1), 282, 60, 30)\n button_edit.update()\n button_edit.draw(screen)\n\n button_delete = Button('Delete','', (160,30,30), 155 + 180* (i-1), 282, 60, 30)\n button_delete.update()\n button_delete.draw(screen)","def hit(hand=bj.player1.hand):\r\n hand.append(bj.deck.remove_card())","def test_play_card(self):\n self.plr.piles[Piles.DECK].set(\"Silver\", \"Province\", \"Moat\", \"Gold\")\n self.vic.piles[Piles.DECK].set(\"Duchy\")\n self.plr.test_input = [\"discard\", \"discard\", \"putback\"]\n self.plr.play_card(self.card)\n self.g.print_state()\n self.assertEqual(self.plr.actions.get(), 1)\n self.assertIn(\"Duchy\", self.vic.piles[Piles.DISCARD])\n self.assertIn(\"Gold\", self.plr.piles[Piles.DISCARD])\n self.assertIn(\"Province\", self.plr.piles[Piles.HAND])\n self.assertIn(\"Moat\", self.plr.piles[Piles.HAND])\n self.assertIn(\"Silver\", self.plr.piles[Piles.DECK])","def hit(self, deck):\n try:\n self.hand.append(deck.pop(0))\n except IndexError:\n print('There are no more cards in the deck!')","def get_cards(self):\n return [card.view_model() for card in self._deck.loc]","def deal(self, cards_num):\n\n cards = []\n while cards_num > 0:\n\n x = random.randint(0, 53)\n if self.in_use[x] == 0:\n self.in_use[x] += 1\n cards.append(x)\n cards_num -= 1\n\n return cards","def player_card_one_choice(update, context):\n query = update.callback_query\n if query.message.reply_to_message:\n user = query.message.reply_to_message.from_user\n else:\n user = query.message.chat\n bot = context.bot\n CURRENT_CONTEXT = USERS[user.username]\n message = f'Round: {CURRENT_CONTEXT[\"round\"]} ({CURRENT_CONTEXT[\"username\"]}) \\nDealers Card: {CURRENT_CONTEXT[\"dealer_card\"]}\\nYour Cards: {CURRENT_CONTEXT[\"player_cards\"]} \\nYour total: {CURRENT_CONTEXT[\"player_total\"]} \\n\\nChoose Your 1st Card: '\n bot.edit_message_text(\n chat_id=query.message.chat_id,\n message_id=query.message.message_id,\n text=message,\n reply_markup=card_markup\n )\n\n return PLAYER_CARD_TWO","def main():\n\n # call to OS for positioning window\n os.environ['SDL_VIDEO_WINDOW_POS'] = \"%d,%d\" % (0, 25)\n\n # Initialization block\n pygame.init() # Initialize pygame module\n screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT)) # initialize screen\n\n # Testing\n # model_card = m_card.Card(m_card.CardType.TEMPURA)\n # view_card = v_card.CardView(screen, model_card)\n\n deck = Deck()\n player = Player()\n b_pack = deck.generate_booster(10)\n player.booster_pack = b_pack\n\n hand_view = HandView(screen, (0, SCREEN_HEIGHT - SCREEN_HEIGHT / 5), (SCREEN_WIDTH, SCREEN_HEIGHT / 5), player)\n pick_crds = PickedCardsView(screen, (0, 0), (SCREEN_WIDTH, SCREEN_HEIGHT / 5), player, 0)\n pick_crds2 = PickedCardsView(screen, (0, 0), (SCREEN_WIDTH, SCREEN_HEIGHT / 5), player, 180)\n # Game loop\n while True:\n\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n sys.exit()\n\n elif event.type == pygame.MOUSEBUTTONUP:\n is_clicked([hand_view, pick_crds, pick_crds2], pygame.mouse.get_pos())\n screen.fill((0, 0, 0))\n hand_view.draw()\n pick_crds.draw()\n pick_crds2.draw()\n pygame.display.flip()","def battle_screen_my_hand_card_display(screen,buttons, screen_status, button_status, card_database_filter, user):\n rect_position_x = 100\n rect_position_y = 610\n row_number = 1\n if screen_status.battle_screen_action_indicator == 'stage-0':\n pass\n else :\n\n if screen_status.battle_screen_my_hand_page_id <= 0:\n screen_status.battle_screen_my_hand_page_id = 1\n # Edge cases when len() = 6,12,18....\n if len(user.hand_list) % 7 == 0 and len(user.hand_list) != 0:\n if screen_status.battle_screen_my_hand_page_id >= (len(user.hand_list))//7 + 1:\n screen_status.battle_screen_my_hand_page_id = (len(user.hand_list))//7 + 0\n\n else:\n if screen_status.battle_screen_my_hand_page_id >= (len(user.hand_list))//7 + 2:\n screen_status.battle_screen_my_hand_page_id = (len(user.hand_list))//7 + 1\n # Algorithm to draw all cards in local_store_list, 6 card per page.\n for card in user.hand_list[7*(screen_status.battle_screen_my_hand_page_id - 1):7 * screen_status.battle_screen_my_hand_page_id]:\n if row_number <= 7:\n card.rect.x = rect_position_x\n card.rect.y = rect_position_y\n screen.blit(card.image, card.rect)\n rect_position_x += 145\n row_number += 1\n if row_number >= 8:\n row_number = 1","def dealCards(deck, player, numCards):\n print \"dealing %s cards to %s...\" % (numCards, player.name)\n for card in range(numCards):\n card = deck[0]\n deck.pop(0)\n player.cards.append(card)\n print \"added %s card for %s\" % (card, player.name)\n print player.cards","def setup_cards(self, server):\r\n\t\tversions_list = self.ice.getVersionsList()\r\n\t\talarm_list = self.ice.getAlarmStatus()\r\n\t\tstatus_list = self.ice.getStatus()\r\n\t\twarning_list = self.ice.getWarnings()\r\n\r\n\t\tdateTimeObj = datetime.now()\r\n\t\ttimestampStr = dateTimeObj.strftime(\"%d-%b-%Y (%H:%M:%S)\")\r\n\t\tcards = self.ice.getCardsAlive()\r\n\t\tfor i in range(len(versions_list)):\r\n\t\t\tjson_body = versions_list[i]\r\n\t\t\tjson_body.update({'alarm':alarm_list[i],'status':status_list[i], 'card':cards[i], 'warning':warning_list[i],'update':timestampStr, 'hostname':self.ip})\r\n\t\t\tserver.index(index='icepap_info', id=self.ip + '_' + str(cards[i]), body=json_body)","def getAllCards(self):\n return self._cards","def build_deck_screen_card_gallery_card_display(screen, buttons, screen_status, button_status, card_database_filter):\n rect_position_x = 100 #local variables for rect position for the first card in the card gallery\n rect_position_y = 130\n row_number = 1 # local variable to help keep track of position of card\n # Check the page number to make sure if will not go negative or randomly large\n if screen_status.build_deck_screen_card_gallery_page_id <= 0:\n screen_status.build_deck_screen_card_gallery_page_id = 1\n # Edge cases when len() = 14, 28, 42...\n if len(cdf.request_card_list(card_database_filter)) % 14 == 0 and len(cdf.request_card_list(card_database_filter)) != 0:\n if screen_status.build_deck_screen_card_gallery_page_id >= (len(cdf.request_card_list(card_database_filter)))//14 + 1:\n screen_status.build_deck_screen_card_gallery_page_id = (len(cdf.request_card_list(card_database_filter)))//14 + 0\n\n else:\n if screen_status.build_deck_screen_card_gallery_page_id >= (len(cdf.request_card_list(card_database_filter)))//14 + 2:\n screen_status.build_deck_screen_card_gallery_page_id = (len(cdf.request_card_list(card_database_filter)))//14 + 1\n # Algorithm to draw all cards in request_card_list, 14 card per page.\n for card in cdf.request_card_list(card_database_filter)[14*(screen_status.build_deck_screen_card_gallery_page_id - 1):14 * screen_status.build_deck_screen_card_gallery_page_id]:\n if row_number <= 7:\n card.rect.x = rect_position_x\n card.rect.y = rect_position_y\n screen.blit(card.image, card.rect)\n rect_position_x += 145\n row_number += 1\n elif row_number <= 14:\n card.rect.x = rect_position_x - 1015\n card.rect.y = rect_position_y + 200\n screen.blit(card.image, card.rect)\n rect_position_x += 145\n row_number += 1\n if row_number >= 15:\n row_number = 1","def setup_newgame(self):\n global chips\n self.bet = 100\n if chips < self.bet: \n self.game_over = True\n chips -= self.bet\n \n\n self.cards_list = arcade.SpriteList()\n\n #resets on newgame\n self.top_card_int = 0 ## this had to be moved here to make it so that you are not drawing over the 52 card limit\n self.player_hand = []\n self.dealer_hand = []\n self.player_value = 0\n self.dealer_value = 0\n self.player_ace_count = 0\n self.dealer_ace_count = 0\n self.player_almost_bust = 0\n self.dealer_almost_bust = 0\n self.blackjack = False\n self.victory = False\n self.defeat = False\n \n #creates deck\n for card_suit in CARD_SUITS:\n for card_value in CARD_VALUES:\n card = Card(card_suit, card_value, CARD_SCALE)\n self.cards_list.append(card)\n #shuffles deck\n for pos1 in range(len(self.cards_list)):\n pos2 = random.randrange(len(self.cards_list))\n self.cards_list.swap(pos1, pos2)\n \n #Current way to add cards to player and dealer hands since using .pop() on self.cards_list deletes the card itself even in the other hands\n \n #self.dealer_hand.append(self.top_card_int)\n self.hit(\"dealer\")\n self.dealer_hand[0].face_down()\n #first_card = self.dealer_hand[0]\n #first_card.face_down()\n #self.dealer_hand[0].face_down()\n self.hit(\"player\")\n self.player_hand[0].face_down()\n self.hit(\"dealer\")\n self.dealer_hand[1].face_down()\n self.hit(\"player\")\n self.player_hand[1].face_down()\n self.update_card_positions()"],"string":"[\n \"def pick(self, pack, cards_owned, draft_info):\\n pass\",\n \"def card_sel(\\n self, num=1, **kwargs\\n ): # pylint: disable=too-many-locals, too-many-branches\\n selectfrom = self.card_selSource(**kwargs)\\n force = kwargs[\\\"force\\\"] if \\\"force\\\" in kwargs else False\\n showdesc = kwargs[\\\"showdesc\\\"] if \\\"showdesc\\\" in kwargs else True\\n verbs = kwargs.get(\\\"verbs\\\", (\\\"Select\\\", \\\"Unselect\\\"))\\n\\n if \\\"prompt\\\" in kwargs:\\n self.output(kwargs[\\\"prompt\\\"])\\n\\n if \\\"anynum\\\" in kwargs and kwargs[\\\"anynum\\\"]:\\n anynum = True\\n num = 0\\n else:\\n anynum = False\\n\\n selected = []\\n types = kwargs[\\\"types\\\"] if \\\"types\\\" in kwargs else {}\\n types = self._type_selector(types)\\n while True:\\n options = []\\n if (\\n anynum\\n or (force and num == len(selected))\\n or (not force and num >= len(selected))\\n ):\\n o = Option(selector=\\\"0\\\", verb=\\\"Finish Selecting\\\", card=None)\\n options.append(o)\\n index = 1\\n for c in sorted(selectfrom):\\n if \\\"exclude\\\" in kwargs and c.name in kwargs[\\\"exclude\\\"]:\\n continue\\n if not self.select_by_type(c, types):\\n continue\\n sel = \\\"%d\\\" % index\\n index += 1\\n if c not in selected:\\n verb = verbs[0]\\n else:\\n verb = verbs[1]\\n o = Option(selector=sel, verb=verb, card=c, name=c.name)\\n if showdesc:\\n o[\\\"desc\\\"] = c.description(self)\\n if kwargs.get(\\\"printcost\\\"):\\n o[\\\"details\\\"] = str(self.card_cost(c))\\n if kwargs.get(\\\"printtypes\\\"):\\n o[\\\"details\\\"] = c.get_cardtype_repr()\\n options.append(o)\\n ui = self.user_input(options, \\\"Select which card?\\\")\\n if not ui[\\\"card\\\"]:\\n break\\n if ui[\\\"card\\\"] in selected:\\n selected.remove(ui[\\\"card\\\"])\\n else:\\n selected.append(ui[\\\"card\\\"])\\n if num == 1 and len(selected) == 1:\\n break\\n return selected\",\n \"def card(bot, update):\\n query = update.callback_query\\n user = query.from_user\\n chat_id = query.message.chat_id\\n selected_card = query.data\\n\\n if (chats[chat_id].player1.card_played == []) and (chats[chat_id].player2.card_played == []):\\n bot.send_message(text=Strings.CARD_SELECTED.format(user.first_name),\\n chat_id=query.message.chat_id,\\n message_id=query.message.message_id,\\n parse_mode=ParseMode.MARKDOWN,\\n isgroup=True)\\n if chats[chat_id].player1.user == user:\\n chats[chat_id].player1.card_played = chats[chat_id].player1.hand[int(selected_card)]\\n chats[chat_id].player1.hand.remove(chats[chat_id].player1.hand[int(selected_card)])\\n\\n elif chats[chat_id].player2.user == user:\\n chats[chat_id].player2.card_played = chats[chat_id].player2.hand[int(selected_card)]\\n chats[chat_id].player2.hand.remove(chats[chat_id].player2.hand[int(selected_card)])\\n return CARD\\n\\n else:\\n if chats[chat_id].player1.user == user and chats[chat_id].player1.card_played != []:\\n bot.send_message(text=Strings.CARD_SELECTED2.format(user.first_name),\\n chat_id=query.message.chat_id,\\n message_id=query.message.message_id,\\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\\n return CARD\\n elif chats[chat_id].player2.user == user and chats[chat_id].player2.card_played != []:\\n bot.send_message(text=Strings.CARD_SELECTED2.format(user.first_name),\\n chat_id=query.message.chat_id,\\n message_id=query.message.message_id,\\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\\n return CARD\\n else:\\n if chats[chat_id].player1.user == user:\\n chats[chat_id].player1.card_played = chats[chat_id].player1.hand[int(selected_card)]\\n chats[chat_id].player1.hand.remove(chats[chat_id].player1.hand[int(selected_card)])\\n\\n elif chats[chat_id].player2.user == user:\\n chats[chat_id].player2.card_played = chats[chat_id].player2.hand[int(selected_card)]\\n chats[chat_id].player2.hand.remove(chats[chat_id].player2.hand[int(selected_card)])\\n\\n bot.edit_message_text(text=Strings.CARD_SELECTED.format(user.first_name),\\n chat_id=query.message.chat_id,\\n message_id=query.message.message_id,\\n parse_mode=ParseMode.MARKDOWN)\\n bot.send_message(chat_id,\\n Strings.SELECTION_COMPLETED,\\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\\n\\n reply_markup = ReplyKeyboardMarkup(c_b_keyboard, selective=False)\\n bot.send_message(chat_id,\\n Strings.QUESTION,\\n reply_markup=reply_markup,\\n parse_mode=ParseMode.MARKDOWN, isgroup=True)\\n return BET_CHECK\",\n \"def choose_card(playable_cards):\\r\\n\\r\\n playing = playable_cards[0]\\r\\n print('\\\\n choosing \\\\n', playing)\\r\\n\\r\\n return playing # for now\\r\",\n \"def next_card_selection(deck):\\n # First grab the colors and format\\n # Then generate the query, execute, and trim\\n # Then get the selections, and return them!\\n colors = deck['colors']\\n deck_format = deck['format']\\n seed = deck.get('seed')\\n\\n query_type = pick_next_card_query(deck_format, seed)\\n trimmed_query_results = compile_execute_and_trim_query(colors, query_type, deck_format)\\n selections = generate_pickable_selections(trimmed_query_results, deck_format, deck)\\n print('QUERY: ', query_type, ' NUM RESULTS:', len(trimmed_query_results))\\n\\n return selections\",\n \"def choose_card_to_discard(self):\\n random.choice(self.hand.card_list).use()\",\n \"def select_card(self, cards):\\n idx = -1 # should not be inital value\\n while True:\\n print(\\\"Please select a card by index:\\\")\\n inpt = self.input(list(enumerate(cards)))\\n try:\\n idx = int(inpt)\\n except ValueError:\\n print(f\\\"'{inpt}' is not a valid index.\\\")\\n if idx < 0 or idx >= len(cards):\\n print(f\\\"The index {idx} is not available.\\\")\\n else:\\n break\\n assert idx != -1 # make sure it's not initial value\\n return cards.pop(idx)\",\n \"def cards(self, cards):\\n\\n self._cards = cards\",\n \"def cards(self, cards):\\n\\n self._cards = cards\",\n \"def choose_card(self, state=None):\\n # if self.at_last_stich():\\n # allowed = yield self.cards[0]\\n # else:\\n self.observation_received.acquire()\\n self.observation = self.build_observation(state, self.cards)\\n logger.debug(f\\\"choose_card received observation: {self.observation}\\\")\\n self.observation_received.notify_all() # notify all threads to be sure\\n self.observation_received.release()\\n\\n self.action_received.acquire()\\n received = self.action_received.wait()\\n if not received:\\n logger.debug(\\\"Timeout occurred. action_received condition has not been notified.\\\")\\n logger.debug(f\\\"choose_card received action: {self.action}\\\")\\n allowed_cards = self.allowed_cards(state=state)\\n chosen_card = allowed_cards[0] # set chosen_card to the first allowed card in case anything goes south\\n chosen_card = self.set_chosen_card(allowed_cards, chosen_card)\\n self.action_received.release()\\n\\n allowed = yield chosen_card\\n\\n if allowed:\\n yield None\",\n \"def set_chosen_card(self, allowed_cards, chosen_card):\\n if self.action is not None:\\n if self.action in allowed_cards:\\n logger.info(f\\\"Successfully chose the card: {self.action}\\\")\\n chosen_card = self.action\\n else:\\n logger.error(f\\\"{self.action} is not a valid card! Choosing the first allowed card now.\\\")\\n else:\\n logger.debug(\\\"chosen card is None\\\")\\n return chosen_card\",\n \"def play_selected_card(_screen, player):\\n card = Card(player.selected_card.card_id, 400, 350)\\n card.image_of_card(_screen)\",\n \"def play_all(self):\\n for _ in range(self._hand.size()):\\n card = self._hand.pop()\\n self._active.push(card)\\n self._money = self._money + card.money\\n self._attack = self._attack + card.attack\\n print '\\\\nPlayed all cards!'\",\n \"def deal_cards():\\n for _ in range(2):\\n user_cards.append(random.choice(deck))\\n dealer_cards.append(random.choice(deck))\",\n \"def cards(self) -> None:\\n self._cards = []\",\n \"def Deal():\\r\\n cardsout = []\\r\\n cardoptions = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23]\\r\\n topcardoptions = [0,2,3,4,5,6]\\r\\n topcard = topcardoptions[random.randint(0,5)]\\r\\n cardoptions.pop(cardoptions.index(topcard))\\r\\n cardsout.append(topcard)\\r\\n\\r\\n if SHOWHAPPENINGS == True:\\r\\n disp = card_dict[topcard]\\r\\n print(\\\"Topcard is: {}\\\".format(disp)) \\r\\n\\r\\n for i in range(4):\\r\\n numcards = 0\\r\\n while numcards < 5:\\r\\n possiblerange = len(cardoptions) - 1\\r\\n cardindex = random.randint(0,possiblerange)\\r\\n card = cardoptions[cardindex]\\r\\n cardsout.append(card)\\r\\n cardoptions.pop(cardoptions.index(card))\\r\\n PlayerHands[i].append(card)\\r\\n numcards += 1\\r\\n PlayerHands[i] = sorted(PlayerHands[i]) #putting into ascending order\\r\\n if i == 0 or i == 2:\\r\\n PlayerHands[i].append(\\\"RedTeam\\\")\\r\\n else: \\r\\n PlayerHands[i].append(\\\"BlackTeam\\\")\\r\\n \\r\\n PlayerHands[0].append(PLAYER1)\\r\\n PlayerHands[1].append(PLAYER2)\\r\\n PlayerHands[2].append(PLAYER3)\\r\\n PlayerHands[3].append(PLAYER4)\\r\\n #PlayerHand format = [card1,card2,card3,card4,card5,Team,Name]\\r\\n\\r\\n return topcard\",\n \"def going_out(self, cards):\\n for card in cards:\\n self.out_of_use.append(int(card))\\n # print(self.out_of_use)\",\n \"def followUpAttack(self, validCards):\\n print(\\\"Select card from... \\\")\\n cardManager.printHand(validCards)\\n card = int(input(\\\"to your attack: \\\"))\\n while card not in validCards: # error checking\\n print(card)\\n print(\\\"Please select a valid card from...\\\")\\n cardManager.printHand(validCards)\\n card = int(input(\\\"to your attack: \\\"))\\n self.currentHand.remove(card)\\n card = self.checkDoubles(card)\\n return card\",\n \"def clearCards(self):\\r\\n self.cards = []\",\n \"def __init__(self):\\r\\n self.cards = []\",\n \"def open_cards(self) -> None:\\r\\n self.dealer.deal_cards_to(self.card_stack, PokerRules.CARDS_PER_ROUND[self.round_num])\",\n \"def get_card_list(self):\\n return self.cards\",\n \"def __init__(self):\\n self._cards = []\",\n \"def upgrade_all_cards(self):\\n self.game.go_to_comic_cards()\\n logger.info(\\\"Comic Cards: upgrading all available cards.\\\")\\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=3, ui_element=self.ui['CARDS_UPGRADE_ALL']):\\n self.emulator.click_button(self.ui['CARDS_UPGRADE_ALL'].button)\\n for card_index in range(1, 6):\\n card_select_ui = self.ui[f'CARDS_SELECT_GRADE_{card_index}']\\n self.emulator.click_button(card_select_ui.button)\\n logger.debug(f\\\"Comic Cards: starting to upgrade UI Element {card_select_ui.name}\\\")\\n if not wait_until(self.emulator.is_image_on_screen, timeout=3, ui_element=card_select_ui):\\n logger.warning(\\\"Comic Cards: can't select card's grade.\\\")\\n continue\\n logger.debug(f\\\"Comic Cards: successfully selected UI Element {card_select_ui.name}\\\")\\n self.emulator.click_button(self.ui['CARDS_SELECT_GRADE'].button)\\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=3,\\n ui_element=self.ui['CARDS_UPGRADE_CONFIRM']):\\n self.emulator.click_button(self.ui['CARDS_UPGRADE_CONFIRM'].button)\\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=10,\\n ui_element=self.ui['CARDS_UPGRADE_RESULTS_OK']):\\n logger.debug(f\\\"Comic Cards: successfully upgraded UI Element {card_select_ui.name}\\\")\\n self.emulator.click_button(self.ui['CARDS_UPGRADE_RESULTS_OK'].button)\\n wait_until(self.emulator.is_image_on_screen, timeout=3, ui_element=card_select_ui)\\n continue\\n if wait_until(self.emulator.is_ui_element_on_screen, timeout=3, ui_element=self.ui['CARDS_UPGRADE_ALL_CANCEL']):\\n self.emulator.click_button(self.ui['CARDS_UPGRADE_ALL_CANCEL'].button)\\n self.close_after_mission_notifications()\\n self.game.go_to_main_menu()\",\n \"def __init__(self, cards):\\n self.cards = cards\",\n \"def user_turn(self):\\r\\n\\r\\n self.display_state() # display the current state\\r\\n print(\\r\\n '\\\\nTURN: You -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-')\\r\\n # Get the row and col number of the card you want to select\\r\\n x1, y1 = self.input_validation('Enter the location of the first card you pick (row, col) -> ')\\r\\n self.selected = [x1, y1] # a temporary holder for the first choice\\r\\n\\r\\n # Get the corresponding card ID which is also the key for the dictionary with all the cards\\r\\n choice1_key = self.state[x1, y1]\\r\\n print('The card you selected: {0}'.format(self.deck[choice1_key]))\\r\\n\\r\\n # Repeat this for your second choice\\r\\n x2, y2 = self.input_validation('Enter the location of the second card you pick (row, col) -> ')\\r\\n self.selected = [-1, -1] # reset the temporary hold\\r\\n\\r\\n choice2_key = self.state[x2, y2]\\r\\n print('The card you selected: {0}'.format(self.deck[choice2_key]))\\r\\n\\r\\n # Check if the two cards are a match or not\\r\\n if self.check_card(self.deck[choice1_key], self.deck[choice2_key]):\\r\\n print('MATCH')\\r\\n # Replace the corresponding cards in the remaining inventory and state with -1\\r\\n self.remaining[choice1_key] = -1\\r\\n self.remaining[choice2_key] = -1\\r\\n self.state[x1, y1] = -1\\r\\n self.state[x2, y2] = -1\\r\\n self.player_cards += 2 # the player gets 2 cards\\r\\n self.bin.append([x1, y1]) # move the location of the card to the already-taken bin\\r\\n self.bin.append([x2, y2])\\r\\n self.forget_memory(choice1_key) # remove from computer's memory\\r\\n self.forget_memory(choice2_key)\\r\\n self.match = 1 # player will continue to choose cards\\r\\n else:\\r\\n print('NOT a match')\\r\\n # Add these cards to the computer's memory\\r\\n self.computer_memory[choice1_key] = [x1, y1]\\r\\n self.computer_memory[choice2_key] = [x2, y2]\\r\\n self.match = 0 # computer's turn\\r\",\n \"def test_consumed_cards(self):\\n game = TestGames.replay(9, [3, 1, 0, 0])\\n consumed_cards = game.consumed_cards()\\n self.assertEqual(len(consumed_cards), 8)\\n\\n self.assertListEqual(list(consumed_cards),\\n [2 / 5, # guards\\n 0 / 2, # priest\\n 1 / 2, # baron\\n 0 / 2, # handmaid\\n 1 / 2, # prince\\n 0 / 1, # king\\n 0 / 1, # countess\\n 0 / 1]) # princess\",\n \"def deliver_card(data, access=None):\\n\\n schema = get_card_schema(data)\\n if not schema:\\n schema = card_schema\\n data = deepcopy(data)\\n\\n if access is 'learn' and data['kind'] is 'choice':\\n if data['order'] == 'random':\\n shuffle(data['options'])\\n\\n if data['max_options_to_show']:\\n data['options'] = data['options'][:data['max_options_to_show']]\\n\\n return deliver_fields(schema, data, access)\",\n \"def all_cards_selected(self, game_key):\\n participants = models.Participant.query(\\n models.Participant.playing == True,\\n models.Participant.selected_card == None,\\n ancestor=game_key).fetch()\\n logging.debug(\\\"participants who have not selected a card: %s\\\", participants)\\n if participants:\\n return False\\n else:\\n return True\",\n \"def draw_a_card(cards):\\n import random\\n card_drawn = random.choices(card_deck)\\n cards.append(card_drawn[0])\\n return\",\n \"def deal_card():\\r\\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\\r\\n return (random.choice(cards))\",\n \"def attack(self): # need to check defenders handcount\\n \\\"\\\"\\\"Always returns a list of values\\\"\\\"\\\"\\n if self.AI:\\n # return rand.randint(0,len(self.currentHand))\\n Error(\\\"AI not yet implemented for Attacking\\\")\\n else:\\n print(\\\"Select card from... \\\")\\n cardManager.printHand(self.currentHand)\\n card = int(input(\\\"to your attack: \\\"))\\n while card not in self.currentHand: # error checking\\n print(\\\"Please select a valid card from...\\\", end = \\\" \\\")\\n cardManager.printHand(self.currentHand)\\n card = int(input())\\n self.currentHand.remove(card)\\n card = self.checkDoubles(card)\\n return card\",\n \"def test_cards_get(self):\\n pass\",\n \"def hit(self, deck):\\n self.cards.append(deck.draw_card())\",\n \"def dealer_card_choice(update, context):\\n query = update.callback_query\\n if query.message.reply_to_message:\\n user = query.message.reply_to_message.from_user\\n else:\\n user = query.message.chat\\n bot = context.bot\\n CURRENT_USER = USERS[user.username]\\n CURRENT_CONTEXT = process_card_value(query.data, CURRENT_USER)\\n message = f'Round: {CURRENT_CONTEXT[\\\"round\\\"]} ({CURRENT_CONTEXT[\\\"username\\\"]}) \\\\nDealers Card: {CURRENT_CONTEXT[\\\"dealer_card\\\"]}\\\\nYour Cards: {CURRENT_CONTEXT[\\\"player_cards\\\"]} \\\\nYour total: {CURRENT_CONTEXT[\\\"player_total\\\"]} \\\\n\\\\nChoose Dealers Card: '\\n bot.edit_message_text(\\n chat_id=query.message.chat_id,\\n message_id=query.message.message_id,\\n text=message,\\n reply_markup=card_markup\\n )\\n\\n # Tell ConversationHandler that we're in state `STRATEGY` now\\n return STRATEGY\",\n \"def get_game_cards(gameId):\\n pass\",\n \"def indicate_discard_card(whose_turn,players):\\n cards_to_choose_from = players[whose_turn].hand.cards\\n players[whose_turn].hand.print_cards()\\n chosen_to_discard = int(input('Select a card to discard. Type a number. '))\\n return chosen_to_discard\",\n \"def get_card_sets(self, name: str) -> List:\",\n \"def get_card(self, card):\\n\\n\\t\\tself.add_card_to_grps(card)\\n\\n\\t\\tself.grps = sorted(self.grps, key = lambda x: -len(x))\\n\\n\\n\\t\\t# check if # of cards forming sets is more than 5; if yes, then break the set to allow computer to form runs\\n\\t\\tnum_set_cards = 0\\n\\t\\tpos = -1\\n\\t\\tfor i in range(len(self.grps)):\\n\\t\\t\\tif len(self.grps[i]) > 1 and self.grps[i][0] == self.grps[i][1]:\\n\\t\\t\\t\\tnum_set_cards += len(self.grps[i])\\n\\t\\t\\t\\tpos = i\\n\\n\\t\\tif num_set_cards > 5:\\n\\t\\t\\tcard = self.grps[pos][-1]\\n\\t\\t\\tself.grps[pos].remove(card)\\n\\t\\t\\tlogger.info(f\\\"In computer.py/get_card: computer returned {card} to break too many set, computer = {self}\\\")\\n\\t\\t\\treturn card\\n\\n\\n\\t\\t# if # of sets is fine, then remove a card from the group with least size\\n\\t\\tcard = self.grps[-1][-1]\\n\\n\\t\\t\\n\\t\\tif len(self.grps[-1]) == 1:\\n\\t\\t\\tself.grps.remove(self.grps[-1])\\n\\t\\telse:\\n\\t\\t\\tself.grps[-1].remove(self.grps[-1][-1])\\n\\n\\t\\tlogger.info(f\\\"In computer.py/get_card: computer returned {card}, computer = {self}\\\")\\n\\n\\t\\treturn card\",\n \"def cards(\\n self,\\n cards: Union[List[Tuple[int, str, str]], List[Any]]\\n ) -> None:\\n self._cards: List[List[Tuple[int, str, str]]] = [cards]\",\n \"def deal_card():\\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\\n card = random.choice(cards)\\n return card\",\n \"def get_cards(self):\\n card = self._starting_card\\n return card\",\n \"def __init__(self, cards = []):\\n self.cards=cards\",\n \"def receive_card(self, card: Card) -> None:\\n\\t\\tself.deck.append(card)\\n\\t\\t\\n\\t\\t# Sorts the Deck by type and colour for aesthetic purposes\\n\\t\\t\\\"\\\"\\\"self.deck.sort(key=lambda x: repr(x.type))\\n\\t\\tself.deck.sort(key=lambda x: repr(x.colour))\\\"\\\"\\\"\",\n \"def choice():\\n list_cards = [0, 0, 0, 0, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 9, 9,\\n 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]\\n list_cards= list_cards*4\\n play_1 = random.choice(list_cards)\\n list_cards_1 = list_cards\\n list_cards_1.remove(play_1)\\n dealer_1 = random.choice(list_cards_1)\\n list_cards_1.remove(dealer_1)\\n play_2 = random.choice(list_cards_1)\\n list_cards_1.remove(play_2)\\n dealer_2 = random.choice(list_cards_1)\\n list_cards_1.remove(dealer_2)\\n list1=[play_1,play_2]\\n list=[dealer_1,dealer_2]\\n return (list1,list,list_cards_1)\",\n \"def card_selSource(self, **kwargs):\\n if \\\"cardsrc\\\" in kwargs:\\n if kwargs[\\\"cardsrc\\\"] == \\\"hand\\\":\\n selectfrom = self.piles[Piles.HAND]\\n elif kwargs[\\\"cardsrc\\\"] == \\\"played\\\":\\n selectfrom = self.piles[Piles.PLAYED]\\n elif kwargs[\\\"cardsrc\\\"] == \\\"discard\\\":\\n selectfrom = self.piles[Piles.DISCARD]\\n else:\\n selectfrom = kwargs[\\\"cardsrc\\\"]\\n else:\\n selectfrom = self.piles[Piles.HAND]\\n return selectfrom\",\n \"def selectAmbassadorInfluence(self, choices, influenceRemaining):\\n # todo: raise notImplemented. should be overriden by the input class\\n \\n selected = []\\n for i in range(influenceRemaining):\\n card = random.choice(choices)\\n selected.append(card)\\n choices.remove(card)\\n \\n return selected\",\n \"def get_cards(query_param):\\n return _query_scryfall(query_param)\",\n \"def add_card(self, added_cards):\\n\\n self.hand[:0] = added_cards\",\n \"def deal_cards(self):\\n aux = random.randint(0, len(self.deck))\\n card = self.deck[aux]\\n self.deck.pop(aux)\\n print(f\\\"Received: {card}\\\")\\n return card\",\n \"def cards(self):\\n return self._cards\",\n \"def test_cards_get_list(self):\\n pass\",\n \"def step(self, action):\\n assert self.completed_rounds < self.num_rounds\\n\\n player = self.players[self.current_player_id]\\n card = action\\n\\n if card not in player.hand:\\n raise ValueError(\\\"Action not allowed because the card is not in the player's hand\\\")\\n\\n player.hand.remove(card)\\n player.played.add(card)\\n # print(f\\\"Player {self.current_player_id} with hand {[c.id for c in player.hand]} played the card {card.id}\\\")\\n best_combination_on_the_table = self._get_best_combination(card)\\n if best_combination_on_the_table:\\n self.last_player_capturing_id = self.current_player_id\\n player.captured.add(card)\\n for c in best_combination_on_the_table:\\n self.table.remove(c)\\n player.captured.add(c)\\n if not self.table and not (self._is_last_round and self._is_round_over()):\\n player.scope += 1\\n else:\\n self.table.add(card)\\n # print(f\\\"Cards on the table after play: {[c.id for c in self.table]}\\\")\\n\\n if self._is_round_over():\\n self.completed_rounds += 1\\n # print(f\\\"=========== Round {self.current_round} completed ============\\\")\\n self.current_player_id = (self.current_player_id + 1) % self.num_players\\n\\n if self.is_over():\\n last_player_capturing = self.players[self.last_player_capturing_id]\\n # print(f\\\"Giving the remaining cards to player {last_player_capturing.player_id}\\\")\\n for card in self.table:\\n last_player_capturing.captured.add(card)\\n self.table = set()\\n assert all([len(p.played) == 10 for p in self.players])\\n assert all([len(p.hand) == 0 for p in self.players])\\n return self.get_state(), self.current_player_id\",\n \"def action_hit(self) -> None:\\n print(self.deal_card(self.user))\",\n \"def check_selected_card(_player1, _player2):\\n if _player1.selected_card and _player2.selected_card:\\n color = _player1.selected_card.suit\\n if _player2.selected_card.suit != color and check_color_card(_player2, color):\\n _player2.selected_card = None\",\n \"def collect_cards():\\n \\n cards_list = []\\n while (cards_input := input(\\\"Enter card: \\\")) != '#':\\n i = cards_input.upper()\\n if not is_valid(i):\\n print(f\\\"Please enter a valid card.\\\")\\n continue\\n cards_list.append(i)\\n cards_decoded = [Board.translate(card) for card in cards_list]\\n return cards_decoded\",\n \"def Send_newCards(self, cards): \\n serialized = [c.serialize() for c in cards]\\n self.Send({\\\"action\\\": \\\"newCards\\\", \\\"cards\\\": serialized})\",\n \"def __init__(self):\\n self.cards = [Card(face=card[0], value=card[1], suit=suit)\\n for card in CARD_VALUES().items() for suit in CARD_SUITS()]\",\n \"def check_card_action(self, card):\\n if card.value == \\\"7\\\":\\n self.seven_punishment()\\n elif card.value == \\\"8\\\":\\n self.eight_punishment()\\n elif card.value == \\\"9\\\":\\n self.nine_punishment()\\n elif card.value == \\\"B\\\":\\n self.jack_wish()\",\n \"def hook_buy_this_card(self, game, player):\\n totrash = [c for c in player.piles[Piles.PLAYED] if c.isTreasure()]\\n for c in totrash:\\n player.output(f\\\"Mint trashing {c.name}\\\")\\n player.trash_card(c)\",\n \"def get_card_info_list(self):\\n self._get_card_info_list = pa_card_info_cb_t(self._card_info_cb)\\n pa_context_get_card_info_list(self._context,\\n self._get_card_info_list,\\n None)\",\n \"def hit(self, deck):\\n self.showOneCard = False\\n while self.getPoints() < 17:\\n self.cards.append(deck.deal())\",\n \"def __refresh_search_results(self):\\n\\n # Define the query\\n try:\\n query = CardQuery()\\n query.max_count = int(self.__box_count.get_text())\\n query.max_proficiency = self.__combo_proficiency.get_index()\\n query.max_score = float(self.__box_score.get_text())\\n if self.__combo_card_type.get_index() > 0:\\n query.card_type = getattr(WordType, self.__combo_card_type.get_text())\\n except:\\n cards = []\\n traceback.print_exc()\\n else:\\n # Query the cards\\n cards = []\\n for card in self.__cards_source.get_cards():\\n study_data = self.__study_database.get_card_study_data(card)\\n if query.matches(card, study_data):\\n cards.append((card, study_data))\\n\\n # Sort the list\\n sort_method = self.__combo_sort.get_text()\\n if sort_method == SortMethod.RANDOM:\\n random.shuffle(cards)\\n all_cards = list(cards)\\n cards = []\\n while all_cards and len(cards) < query.max_count:\\n index = random.randrange(len(all_cards))\\n elem = all_cards[index]\\n del all_cards[index] \\n cards.append(elem)\\n elif sort_method == SortMethod.LOWEST_SCORE:\\n cards.sort(key=lambda x: x[1].get_history_score())\\n elif sort_method == SortMethod.OLDEST:\\n cards.sort(key=lambda x: x[1].get_last_encounter_time() or x[1].get_history_score())\\n elif sort_method == SortMethod.NEWEST:\\n cards.sort(key=lambda x: x[1].get_last_encounter_time() or x[1].get_history_score(), reverse=True)\\n\\n cards = cards[:query.max_count]\\n\\n # Define the study params\\n params = StudyParams()\\n params.random_side = self.__combo_side.get_index() == 0\\n params.random_form = self.__checkbox_random_forms.is_checked()\\n params.shown_side = (CardSide.English if self.__combo_side.get_index() == 1\\n else CardSide.Russian)\\n self.__study_params = params\\n\\n # Define the scheduler params\\n self.__scheduler_params = SchedulerParams(\\n max_repetitions=1 if self.__checkbox_only_once.is_checked() else 0)\\n \\n # Popluate the table\\n self.__table_cards.clear()\\n for card, study_data in cards:\\n color = Config.proficiency_level_colors[study_data.get_proficiency_level()]\\n row = self.__table_cards.add(card, color=color)\\n cards = [card for card, _ in cards]\\n\\n self.__cards = cards\\n self.__button_begin.set_enabled(len(cards) > 0 and self.__study_params)\\n self.__label_result_count.set_text(\\\"{} Results\\\".format(len(self.__cards)))\",\n \"def hit(\\n self,\\n card: List[Tuple[int, str, str]],\\n card_index: int = 0\\n ) -> None:\\n self._cards[card_index].extend(card)\",\n \"def refresh(self):\\n self.deck = []\\n\\n for _suit in Suit:\\n for _face in Face:\\n self.insert(Card(_suit, _face, self))\",\n \"def _cards_getter(self):\\n pass\",\n \"def add_cards(self, cards):\\n self.get_cards().extend(cards)\",\n \"async def get_available_cards(self, game_id): # pass in a list of card ids\\n all_cards = await self.get_all_cards()\\n available_cards = []\\n game = await self.get_game(game_id)\\n player1_cards = await self.get_current_cards(game[1])\\n player2_cards = await self.get_current_cards(game[2])\\n for card in all_cards:\\n if card not in player1_cards and card not in player2_cards:\\n available_cards.append(card)\\n return available_cards\",\n \"def draw_card(self, card):\\n self.current_hand.append(card)\",\n \"def get_selected_card(self, pos, double_clicking=False):\\n if self.selectable:\\n double_select = False\\n relative_pos_x = pos[0] - self.x\\n relative_pos_y = pos[1] - self.y\\n mouse_pos = (relative_pos_x, relative_pos_y)\\n self.selected_card = -1\\n if not self.draw_from_last:\\n for i, card in enumerate(reversed(self.cards)):\\n if card.rect.collidepoint(mouse_pos):\\n self.selected_card = len(self.cards) - 1 - i\\n break\\n else:\\n for i, card in enumerate(self.cards):\\n if card.rect.collidepoint(mouse_pos):\\n self.selected_card = i\\n break\\n\\n if self.prev_selected[-1] == self.selected_card:\\n if not double_clicking:\\n self.selected_card = -1\\n\\n self.record_selected_history()\\n self.update_deck_display()\\n\\n selected_history = [sel for sel in self.prev_selected if sel >= 0]\\n\\n return (len(selected_history) == 2 and self.prev_selected.count(self.selected_card) == 2\\n and self.selected_card >= 0) and double_clicking\\n return False\",\n \"def deal_card():\\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\\n random_card = random.choice(cards)\\n return random_card\",\n \"def select_card(player, _mouse_x=None, _mouse_y=None):\\n if _mouse_x:\\n for card in player.cards:\\n lower_x = card.positionx\\n lower_y = card.positiony\\n if lower_x < _mouse_x < lower_x + 100 and lower_y < _mouse_y < lower_y + 100:\\n player.selected_card = card\",\n \"def receive_chance_card(self, card):\\r\\n self.chance_cards.append(card)\",\n \"def build_deck_screen_my_deck_card_display(screen,buttons, screen_status, button_status, card_database_filter, user):\\n # Draw the character card\\n if user.character_card == '':\\n pass\\n else:\\n user.character_card.rect.x = 65\\n user.character_card.rect.y = 600\\n screen.blit(user.character_card.image, user.character_card.rect)\\n #Clear duplicate amount each frame and render the refined list\\n for card_new in user.deck_list:\\n card_new.duplicate = 1\\n local_store_list = build_deck_screen_my_deck_card_list_refine(user)\\n #use refined list to draw\\n rect_position_x = 245 #local variables for rect position for the first card in the user deck\\n rect_position_y = 600\\n row_number = 1\\n #Display cards in local_store_list:\\n\\n if screen_status.build_deck_screen_my_deck_page_id <= 0:\\n screen_status.build_deck_screen_my_deck_page_id = 1\\n # Edge cases when len() = 6,12,18....\\n if len(local_store_list) % 6 == 0 and len(local_store_list) != 0:\\n if screen_status.build_deck_screen_my_deck_page_id >= (len(local_store_list))//6 + 1:\\n screen_status.build_deck_screen_my_deck_page_id = (len(local_store_list))//6 + 0\\n\\n else:\\n if screen_status.build_deck_screen_my_deck_page_id >= (len(local_store_list))//6 + 2:\\n screen_status.build_deck_screen_my_deck_page_id = (len(local_store_list))//6 + 1\\n # Algorithm to draw all cards in local_store_list, 6 card per page.\\n for card in local_store_list[6*(screen_status.build_deck_screen_my_deck_page_id - 1):6 * screen_status.build_deck_screen_my_deck_page_id]:\\n if row_number <= 6:\\n card.rect.x = rect_position_x\\n card.rect.y = rect_position_y\\n screen.blit(card.image, card.rect)\\n rect_position_x += 145\\n row_number += 1\\n build_deck_screen_my_deck_duplicate_number_display(card, screen)\\n if row_number >= 7:\\n row_number = 1\",\n \"def deal_cards(self):\\n self.card = random.randint(1, 13)\\n return self.card\",\n \"def deal_opening_cards(self) -> None:\\r\\n for i in range(self.num_of_players):\\r\\n self.dealer.deal_cards_to(self.players[i].cards_stack, PokerRules.CARDS_PER_PLAYER)\",\n \"def cards_to_deal(cls, context={}):\\n\\t\\traise NotImplementedError()\",\n \"def cards():\\n if user_loggined():\\n user = models.User.query.get(session['user_id'])\\n u_cards = user.cards.all()\\n prep_cards = []\\n for card in u_cards:\\n prep_cards.append(card.type + ' **** '+card.cnb[-9:])\\n else:\\n return redirect(url_for('index'))\\n return redirect(url_for('index'))\",\n \"def take(self, table):\\n # take card\\n self.hand.add(table.card)\\n table.card = table.cards.pop()\\n # take chips\\n self.chips += table.chips\\n table.chips = 0\",\n \"def receive_card(self, card, new_suite=None, is_using_chameleon=False):\\n assert isinstance(card, tuple)\\n assert len(card) == 2\\n\\n if card.value == 14 or card.value == self.chameleon and is_using_chameleon:\\n assert new_suite != None, print('You must specify a new suite.')\\n assert new_suite in ['hearts', 'spades', 'diamonds', 'clubs']\\n\\n self.current_suite = new_suite\\n self.current_value = None\\n\\n else:\\n self.cards.append(card)\\n self.current_suite = card.suite\\n self.current_value = card.value\",\n \"def card_output():\\n cards = [11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10]\\n return random.choice(cards)\",\n \"def initial_draw(self):\\n self.player.take_card(self.deck)\\n self.dealer.take_card(self.deck)\\n self.player.take_card(self.deck)\\n self.dealer.put_face_down(self.deck)\",\n \"def get_options(cls, player, context={}):\\n\\t\\toptions = []\\n\\t\\tfor card in player.hand:\\n\\t\\t\\tif cls.can_be_played(card, context):\\n\\t\\t\\t\\toptions.extend(card.actions)\\n\\t\\toptions.append(Action(None, \\\"DRAW\\\", [DrawCard]))\\n\\t\\treturn options\",\n \"def check_cards_eligibility(self):\\n for c in self.hand:\\n c.check_actions(self)\\n for c in self.phand:\\n c.check_actions(self)\\n for c in self.discard:\\n c.check_actions(self)\\n for c in self.active_player.phand:\\n c.check_actions(self)\\n for c in self.active_player.hand:\\n c.check_actions(self)\\n for c in self.active_player.discard:\\n c.check_actions(self)\\n for c in self.played_user_cards:\\n c.check_actions(self)\\n if ACTION_KEEP in self.actions:\\n for p in self.players:\\n for c in p.phand:\\n c.check_actions(self)\\n for c in p.hand:\\n c.check_actions(self)\\n for c in p.discard:\\n c.check_actions(self)\",\n \"def get_hand(self):\\n return self.cards\",\n \"def get_cards(self):\\n return deepcopy(self._cards)\",\n \"def lobby_screen_pick_deck_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\\n # Pick deck text\\n button_text_1 = Button('Pick an exist deck or create a new one: ','', (250,250,250),400, 100, 400, 35, font_color = (0,0,0), alpha = 150)\\n button_text_1.update()\\n button_text_1.draw(screen)\\n\\n # Deck list buttons\\n with open('user_deck_list_string.txt','r') as f:\\n f.seek(0)\\n if len(f.readlines()) >= 12:\\n pass\\n else:\\n button_new_deck = Button('+ New Deck','', (250,250,250),1020, 110, 120, 35, font_color = (0,0,0), alpha = 150)\\n button_new_deck.update()\\n button_new_deck.draw(screen)\\n\\n\\n f.seek(0)\\n x = len(f.readlines())\\n y = 0\\n deck_list_index = 0\\n\\n for i in range(1,7):\\n f.seek(0)\\n for line in f:\\n if 'DECK_LIST_' + str(i) not in line:\\n y += 1\\n if y < x: # DECK_LIST_i exist\\n f.seek(0)\\n for line in f:\\n if 'DECK_LIST_' + str(i) in line:\\n deck_length = len(make_card_list_from_string(line.replace('DECK_LIST_' + str(i) + ' = ', ''), ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2))\\n # deck_length = int((len(line.replace('DECK_LIST_' + str(i) + ' = ', '')) -1)/14)\\n if 'CHARACTER_' + str(i) in line:\\n character_length = 1\\n character_card = eval('card_' + line.replace('CHARACTER_' + str(i) + ' = ', '')[7:12])\\n\\n if user.deck_list_index == str(i):\\n\\n button_top = Button(character_card.name + ': ','', (100,30,130),85 + 180* (i-1), 165, 130, 60)\\n button_top.update()\\n button_top.draw(screen)\\n\\n if deck_length < 40:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50, font_color = (250,0,0))\\n button_bottom.update()\\n button_bottom.draw(screen)\\n else:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50)\\n button_bottom.update()\\n button_bottom.draw(screen)\\n\\n else:\\n\\n button_top = Button(character_card.name + ': ','', (160,160,160),85 + 180* (i-1), 165, 130, 60, alpha = 240)\\n button_top.update()\\n button_top.draw(screen)\\n\\n if deck_length < 40:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, font_color = (200,0,0), alpha = 240)\\n button_bottom.update()\\n button_bottom.draw(screen)\\n else:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, alpha = 240)\\n button_bottom.update()\\n button_bottom.draw(screen)\\n\\n y = 0\\n\\n else: # DECK_LIST_i not exist\\n\\n button = Button('Empty','', (200,200,200),85 + 180* (i-1), 165, 130, 110, alpha = 80)\\n button.update()\\n button.draw(screen)\\n\\n y = 0\\n\\n\\n for i in range(1,7):\\n if user.deck_list_index == str(i):\\n button_edit = Button('Edit','', (50,50,170),85 + 180* (i-1), 282, 60, 30)\\n button_edit.update()\\n button_edit.draw(screen)\\n\\n button_delete = Button('Delete','', (160,30,30), 155 + 180* (i-1), 282, 60, 30)\\n button_delete.update()\\n button_delete.draw(screen)\",\n \"def hit(hand=bj.player1.hand):\\r\\n hand.append(bj.deck.remove_card())\",\n \"def test_play_card(self):\\n self.plr.piles[Piles.DECK].set(\\\"Silver\\\", \\\"Province\\\", \\\"Moat\\\", \\\"Gold\\\")\\n self.vic.piles[Piles.DECK].set(\\\"Duchy\\\")\\n self.plr.test_input = [\\\"discard\\\", \\\"discard\\\", \\\"putback\\\"]\\n self.plr.play_card(self.card)\\n self.g.print_state()\\n self.assertEqual(self.plr.actions.get(), 1)\\n self.assertIn(\\\"Duchy\\\", self.vic.piles[Piles.DISCARD])\\n self.assertIn(\\\"Gold\\\", self.plr.piles[Piles.DISCARD])\\n self.assertIn(\\\"Province\\\", self.plr.piles[Piles.HAND])\\n self.assertIn(\\\"Moat\\\", self.plr.piles[Piles.HAND])\\n self.assertIn(\\\"Silver\\\", self.plr.piles[Piles.DECK])\",\n \"def hit(self, deck):\\n try:\\n self.hand.append(deck.pop(0))\\n except IndexError:\\n print('There are no more cards in the deck!')\",\n \"def get_cards(self):\\n return [card.view_model() for card in self._deck.loc]\",\n \"def deal(self, cards_num):\\n\\n cards = []\\n while cards_num > 0:\\n\\n x = random.randint(0, 53)\\n if self.in_use[x] == 0:\\n self.in_use[x] += 1\\n cards.append(x)\\n cards_num -= 1\\n\\n return cards\",\n \"def player_card_one_choice(update, context):\\n query = update.callback_query\\n if query.message.reply_to_message:\\n user = query.message.reply_to_message.from_user\\n else:\\n user = query.message.chat\\n bot = context.bot\\n CURRENT_CONTEXT = USERS[user.username]\\n message = f'Round: {CURRENT_CONTEXT[\\\"round\\\"]} ({CURRENT_CONTEXT[\\\"username\\\"]}) \\\\nDealers Card: {CURRENT_CONTEXT[\\\"dealer_card\\\"]}\\\\nYour Cards: {CURRENT_CONTEXT[\\\"player_cards\\\"]} \\\\nYour total: {CURRENT_CONTEXT[\\\"player_total\\\"]} \\\\n\\\\nChoose Your 1st Card: '\\n bot.edit_message_text(\\n chat_id=query.message.chat_id,\\n message_id=query.message.message_id,\\n text=message,\\n reply_markup=card_markup\\n )\\n\\n return PLAYER_CARD_TWO\",\n \"def main():\\n\\n # call to OS for positioning window\\n os.environ['SDL_VIDEO_WINDOW_POS'] = \\\"%d,%d\\\" % (0, 25)\\n\\n # Initialization block\\n pygame.init() # Initialize pygame module\\n screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT)) # initialize screen\\n\\n # Testing\\n # model_card = m_card.Card(m_card.CardType.TEMPURA)\\n # view_card = v_card.CardView(screen, model_card)\\n\\n deck = Deck()\\n player = Player()\\n b_pack = deck.generate_booster(10)\\n player.booster_pack = b_pack\\n\\n hand_view = HandView(screen, (0, SCREEN_HEIGHT - SCREEN_HEIGHT / 5), (SCREEN_WIDTH, SCREEN_HEIGHT / 5), player)\\n pick_crds = PickedCardsView(screen, (0, 0), (SCREEN_WIDTH, SCREEN_HEIGHT / 5), player, 0)\\n pick_crds2 = PickedCardsView(screen, (0, 0), (SCREEN_WIDTH, SCREEN_HEIGHT / 5), player, 180)\\n # Game loop\\n while True:\\n\\n for event in pygame.event.get():\\n if event.type == pygame.QUIT:\\n sys.exit()\\n\\n elif event.type == pygame.MOUSEBUTTONUP:\\n is_clicked([hand_view, pick_crds, pick_crds2], pygame.mouse.get_pos())\\n screen.fill((0, 0, 0))\\n hand_view.draw()\\n pick_crds.draw()\\n pick_crds2.draw()\\n pygame.display.flip()\",\n \"def battle_screen_my_hand_card_display(screen,buttons, screen_status, button_status, card_database_filter, user):\\n rect_position_x = 100\\n rect_position_y = 610\\n row_number = 1\\n if screen_status.battle_screen_action_indicator == 'stage-0':\\n pass\\n else :\\n\\n if screen_status.battle_screen_my_hand_page_id <= 0:\\n screen_status.battle_screen_my_hand_page_id = 1\\n # Edge cases when len() = 6,12,18....\\n if len(user.hand_list) % 7 == 0 and len(user.hand_list) != 0:\\n if screen_status.battle_screen_my_hand_page_id >= (len(user.hand_list))//7 + 1:\\n screen_status.battle_screen_my_hand_page_id = (len(user.hand_list))//7 + 0\\n\\n else:\\n if screen_status.battle_screen_my_hand_page_id >= (len(user.hand_list))//7 + 2:\\n screen_status.battle_screen_my_hand_page_id = (len(user.hand_list))//7 + 1\\n # Algorithm to draw all cards in local_store_list, 6 card per page.\\n for card in user.hand_list[7*(screen_status.battle_screen_my_hand_page_id - 1):7 * screen_status.battle_screen_my_hand_page_id]:\\n if row_number <= 7:\\n card.rect.x = rect_position_x\\n card.rect.y = rect_position_y\\n screen.blit(card.image, card.rect)\\n rect_position_x += 145\\n row_number += 1\\n if row_number >= 8:\\n row_number = 1\",\n \"def dealCards(deck, player, numCards):\\n print \\\"dealing %s cards to %s...\\\" % (numCards, player.name)\\n for card in range(numCards):\\n card = deck[0]\\n deck.pop(0)\\n player.cards.append(card)\\n print \\\"added %s card for %s\\\" % (card, player.name)\\n print player.cards\",\n \"def setup_cards(self, server):\\r\\n\\t\\tversions_list = self.ice.getVersionsList()\\r\\n\\t\\talarm_list = self.ice.getAlarmStatus()\\r\\n\\t\\tstatus_list = self.ice.getStatus()\\r\\n\\t\\twarning_list = self.ice.getWarnings()\\r\\n\\r\\n\\t\\tdateTimeObj = datetime.now()\\r\\n\\t\\ttimestampStr = dateTimeObj.strftime(\\\"%d-%b-%Y (%H:%M:%S)\\\")\\r\\n\\t\\tcards = self.ice.getCardsAlive()\\r\\n\\t\\tfor i in range(len(versions_list)):\\r\\n\\t\\t\\tjson_body = versions_list[i]\\r\\n\\t\\t\\tjson_body.update({'alarm':alarm_list[i],'status':status_list[i], 'card':cards[i], 'warning':warning_list[i],'update':timestampStr, 'hostname':self.ip})\\r\\n\\t\\t\\tserver.index(index='icepap_info', id=self.ip + '_' + str(cards[i]), body=json_body)\",\n \"def getAllCards(self):\\n return self._cards\",\n \"def build_deck_screen_card_gallery_card_display(screen, buttons, screen_status, button_status, card_database_filter):\\n rect_position_x = 100 #local variables for rect position for the first card in the card gallery\\n rect_position_y = 130\\n row_number = 1 # local variable to help keep track of position of card\\n # Check the page number to make sure if will not go negative or randomly large\\n if screen_status.build_deck_screen_card_gallery_page_id <= 0:\\n screen_status.build_deck_screen_card_gallery_page_id = 1\\n # Edge cases when len() = 14, 28, 42...\\n if len(cdf.request_card_list(card_database_filter)) % 14 == 0 and len(cdf.request_card_list(card_database_filter)) != 0:\\n if screen_status.build_deck_screen_card_gallery_page_id >= (len(cdf.request_card_list(card_database_filter)))//14 + 1:\\n screen_status.build_deck_screen_card_gallery_page_id = (len(cdf.request_card_list(card_database_filter)))//14 + 0\\n\\n else:\\n if screen_status.build_deck_screen_card_gallery_page_id >= (len(cdf.request_card_list(card_database_filter)))//14 + 2:\\n screen_status.build_deck_screen_card_gallery_page_id = (len(cdf.request_card_list(card_database_filter)))//14 + 1\\n # Algorithm to draw all cards in request_card_list, 14 card per page.\\n for card in cdf.request_card_list(card_database_filter)[14*(screen_status.build_deck_screen_card_gallery_page_id - 1):14 * screen_status.build_deck_screen_card_gallery_page_id]:\\n if row_number <= 7:\\n card.rect.x = rect_position_x\\n card.rect.y = rect_position_y\\n screen.blit(card.image, card.rect)\\n rect_position_x += 145\\n row_number += 1\\n elif row_number <= 14:\\n card.rect.x = rect_position_x - 1015\\n card.rect.y = rect_position_y + 200\\n screen.blit(card.image, card.rect)\\n rect_position_x += 145\\n row_number += 1\\n if row_number >= 15:\\n row_number = 1\",\n \"def setup_newgame(self):\\n global chips\\n self.bet = 100\\n if chips < self.bet: \\n self.game_over = True\\n chips -= self.bet\\n \\n\\n self.cards_list = arcade.SpriteList()\\n\\n #resets on newgame\\n self.top_card_int = 0 ## this had to be moved here to make it so that you are not drawing over the 52 card limit\\n self.player_hand = []\\n self.dealer_hand = []\\n self.player_value = 0\\n self.dealer_value = 0\\n self.player_ace_count = 0\\n self.dealer_ace_count = 0\\n self.player_almost_bust = 0\\n self.dealer_almost_bust = 0\\n self.blackjack = False\\n self.victory = False\\n self.defeat = False\\n \\n #creates deck\\n for card_suit in CARD_SUITS:\\n for card_value in CARD_VALUES:\\n card = Card(card_suit, card_value, CARD_SCALE)\\n self.cards_list.append(card)\\n #shuffles deck\\n for pos1 in range(len(self.cards_list)):\\n pos2 = random.randrange(len(self.cards_list))\\n self.cards_list.swap(pos1, pos2)\\n \\n #Current way to add cards to player and dealer hands since using .pop() on self.cards_list deletes the card itself even in the other hands\\n \\n #self.dealer_hand.append(self.top_card_int)\\n self.hit(\\\"dealer\\\")\\n self.dealer_hand[0].face_down()\\n #first_card = self.dealer_hand[0]\\n #first_card.face_down()\\n #self.dealer_hand[0].face_down()\\n self.hit(\\\"player\\\")\\n self.player_hand[0].face_down()\\n self.hit(\\\"dealer\\\")\\n self.dealer_hand[1].face_down()\\n self.hit(\\\"player\\\")\\n self.player_hand[1].face_down()\\n self.update_card_positions()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6779038","0.64504594","0.6393454","0.6248788","0.6065166","0.60555077","0.60298246","0.6014514","0.6014514","0.5978343","0.5904059","0.5888115","0.5883593","0.5855397","0.58428776","0.584109","0.5830821","0.582095","0.5810005","0.5807255","0.5788884","0.57709986","0.574667","0.5738221","0.5737967","0.57058537","0.5680407","0.56735003","0.5642896","0.56291485","0.562021","0.5614011","0.5595327","0.5593024","0.556809","0.55641556","0.55591893","0.5558305","0.5548686","0.55382204","0.5533083","0.55326396","0.5528881","0.5528702","0.55202246","0.5513971","0.55041254","0.5503086","0.55018395","0.5488135","0.54830146","0.54814434","0.54784435","0.5475379","0.5463058","0.544991","0.54472756","0.544597","0.54333675","0.5411004","0.54085934","0.5400689","0.54006267","0.53977484","0.5396665","0.539553","0.5387312","0.53800654","0.5378856","0.537282","0.53693086","0.53602904","0.53573686","0.5354459","0.5354429","0.5347059","0.53427076","0.5342567","0.53405184","0.53245234","0.53223515","0.5321809","0.5314615","0.5301498","0.52926624","0.52908504","0.5289689","0.5285544","0.528017","0.52695525","0.526711","0.5264777","0.52642614","0.52633953","0.52546424","0.52470315","0.5243854","0.52418876","0.52303237","0.52292776"],"string":"[\n \"0.6779038\",\n \"0.64504594\",\n \"0.6393454\",\n \"0.6248788\",\n \"0.6065166\",\n \"0.60555077\",\n \"0.60298246\",\n \"0.6014514\",\n \"0.6014514\",\n \"0.5978343\",\n \"0.5904059\",\n \"0.5888115\",\n \"0.5883593\",\n \"0.5855397\",\n \"0.58428776\",\n \"0.584109\",\n \"0.5830821\",\n \"0.582095\",\n \"0.5810005\",\n \"0.5807255\",\n \"0.5788884\",\n \"0.57709986\",\n \"0.574667\",\n \"0.5738221\",\n \"0.5737967\",\n \"0.57058537\",\n \"0.5680407\",\n \"0.56735003\",\n \"0.5642896\",\n \"0.56291485\",\n \"0.562021\",\n \"0.5614011\",\n \"0.5595327\",\n \"0.5593024\",\n \"0.556809\",\n \"0.55641556\",\n \"0.55591893\",\n \"0.5558305\",\n \"0.5548686\",\n \"0.55382204\",\n \"0.5533083\",\n \"0.55326396\",\n \"0.5528881\",\n \"0.5528702\",\n \"0.55202246\",\n \"0.5513971\",\n \"0.55041254\",\n \"0.5503086\",\n \"0.55018395\",\n \"0.5488135\",\n \"0.54830146\",\n \"0.54814434\",\n \"0.54784435\",\n \"0.5475379\",\n \"0.5463058\",\n \"0.544991\",\n \"0.54472756\",\n \"0.544597\",\n \"0.54333675\",\n \"0.5411004\",\n \"0.54085934\",\n \"0.5400689\",\n \"0.54006267\",\n \"0.53977484\",\n \"0.5396665\",\n \"0.539553\",\n \"0.5387312\",\n \"0.53800654\",\n \"0.5378856\",\n \"0.537282\",\n \"0.53693086\",\n \"0.53602904\",\n \"0.53573686\",\n \"0.5354459\",\n \"0.5354429\",\n \"0.5347059\",\n \"0.53427076\",\n \"0.5342567\",\n \"0.53405184\",\n \"0.53245234\",\n \"0.53223515\",\n \"0.5321809\",\n \"0.5314615\",\n \"0.5301498\",\n \"0.52926624\",\n \"0.52908504\",\n \"0.5289689\",\n \"0.5285544\",\n \"0.528017\",\n \"0.52695525\",\n \"0.526711\",\n \"0.5264777\",\n \"0.52642614\",\n \"0.52633953\",\n \"0.52546424\",\n \"0.52470315\",\n \"0.5243854\",\n \"0.52418876\",\n \"0.52303237\",\n \"0.52292776\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5896568"},"document_rank":{"kind":"string","value":"11"}}},{"rowIdx":4771,"cells":{"query":{"kind":"string","value":"Confirm a user is sure about a discard and then perform it once confirmed."},"document":{"kind":"string","value":"def discardConfirmation(self, confirmed, wrapped_discards):\n discards = []\n for element in wrapped_discards:\n discards.append(element.card)\n if self.discards != discards:\n confirmed = False\n self.discards = discards\n if not confirmed:\n self.controller.note = \"Please confirm - discard \" + \"{0}\".format(self.discards)\n return True # ask for confirmation\n else:\n # confirmed is True, performing discard and removing discarded wrapped cards from hand_info.\n if self.discard_confirm:\n controller_response = self.controller.discard(self.discards)\n if controller_response:\n for element in wrapped_discards:\n self.hand_info.remove(element)\n return False # now that this is done, we don't have anything waiting on confirmation"},"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 confirm_with_abort() -> None:\n\n click.confirm(\n \"Are you sure you want to drop the users table?\",\n abort=True\n )\n\n click.echo(\"We have gotten to this point, so the user has confirmed.\")","def action_confirm(self):\n self.check_txt_ids()\n self.write({'state': 'confirmed'})\n return True","async def confirm(ctx, *args: discord.Member):\n await _confirm(args)","def confirm(self):\n self.automatically_detected=False\n self.save()","def unconfirm(self):\n self.automatically_detected=True\n self.save()","def confirm(dt):\n\n database_api.signOut(Cache.get(\"info\",\n \"token\"\n ),\n Cache.get(\"info\",\n \"nick\"\n )\n )\n\n if platform.system() == \"Linux\":\n os.system(\"sh func/sh/restore.sh\")\n\n App.get_running_app().stop()","def confirm(self):\n with self.handle_alert(confirm=True):\n self.q(css='button#confirm').first.click()","def confirm_action(message):\n if not click.confirm(message + \" Continue?\"):\n logger.info(\"User cancels action. Exiting...\")\n exit(0)\n else: return","def confirm_as_variable() -> None:\n\n confirmed = click.confirm(\"Are you sure you want to drop the users table?\")\n status = click.style(\"yes\", fg=\"green\") if confirmed else click.style(\"no\", fg=\"red\")\n click.echo(\"Drop table confirmed?: \" + status)","def action_confirm(self):\n options=self.env['plm.config.settings'].GetOptions()\n status = 'confirmed'\n action = 'confirm'\n default = {\n 'state': status,\n 'engineering_writable': False,\n }\n doc_default = {\n 'state': status,\n 'writable': False,\n }\n operationParams = {\n 'status': status,\n 'statusName': _('Confirmed'),\n 'action': action,\n 'docaction': 'confirm',\n 'excludeStatuses': ['confirmed', 'transmitted', 'released', 'undermodify', 'obsoleted'],\n 'includeStatuses': ['draft'],\n 'default': default,\n 'doc_default': doc_default,\n }\n if options.get('opt_showWFanalysis', False):\n return self.action_check_workflow(operationParams)\n else:\n ids=self._ids\n self.logging_workflow(ids, action, status)\n return self._action_to_perform(ids, operationParams, default)","def confirm(self, message):\n raise NotImplementedError","def confirm_removal(confirm, filename):\n if confirm == 'y' or confirm == 'yes':\n remove_file(filename)\n elif confirm == 'n' or confirm == 'no':\n print(\"File will stay there\")\n else:\n print(\"Please etner a valid answer (y/n, yes/no)\")\n confirm_removal()","def cancel(self):\n with self.handle_alert(confirm=False):\n self.q(css='button#confirm').first.click()","def confirm():\n\t\traise NotImplementedError","def confirmed(self):","def confirm_delete(self):\n self.language = LANGUAGE.get(self.lang)\n message = Message(self.language[\"del_user\"], self.language[\"del_info\"])\n delete_message = message.create_question_message(self.language[\"yes\"])\n response = delete_message.exec()\n\n if response == QMessageBox.Yes:\n self.delete_user()\n elif response == QMessageBox.No:\n delete_message.close()","def confirm():\n if request.method == 'POST':\n user_type = session.get('type', None)\n if user_type == 'Admin':\n return redirect('/index')\n elif user_type == 'Client':\n return redirect('/clients/' + session.get('name'))\n else:\n return redirect('/')\n\n confirmed = request.values['confirmed']\n \n return render_template('confirm.html', confirmed=confirmed)","def test_confirm_user(self):\n user = User(email=\"test@email.com\", password=\"testpassword\")\n\n self.assertFalse(user.confirmed)\n self.assertIsNone(user.confirmed_at)\n self.assertIsNotNone(user.confirmation_token)\n\n user.confirm()\n\n self.assertTrue(user.confirmed)\n self.assertIsNotNone(user.confirmed_at)\n self.assertIsNone(user.confirmation_token)","def confirm_so(self, cr, uid, ids,context=None):\n return self.write(cr, uid, ids, {'state':'confirm_so'}, context=context)","def prompt_discard(self, num_discards: int, state: 'State'):\n # TODO: Refactor to allow for flexible discarding (see Cellar). Meybe a force discard and a prompt discard?\n while self.hand and num_discards > 0:\n sorted_hand = sorted(list(self.hand), key=card_sort)\n card_name = self.get_input(\n f'Discard {num_discards} cards'\n f'Hand: {sorted_hand}',\n sorted_hand,\n state\n )\n # If the prompted card is in hand, discard it\n card = next((card for card in self.hand if card.name == card_name), None)\n if card:\n self.hand[card] -= 1\n self.hand += Counter() # Remove 0 and negative counts\n self.discard_pile.append(card)\n num_discards -= 1\n print(f'Discarded {card.name}')\n else:\n print(f'{card.name} is not in hand')","def __onConfirmNo(self):\n self.__confDlg.reject()","def cancel_dummy(self):\n if self.state != 'authorized':\n self.raise_user_error('cancel_only_authorized')\n else:\n self.state = 'cancel'\n self.save()","def confirm(secret_id='', game=None):\n player = get_player(current_app, request, secret_id)\n if player.is_confirmed:\n flash(_('Your name is already confirmed as %(n)s', n=player.name),\n 'error')\n return redirect(url_for('player.player',\n secret_id=player.secret_id,\n _method='GET'))\n if game.state != game.State.CONFIRMING:\n return render_template('player/too-late.html',\n player_name=player.name)\n if request.method == 'POST':\n player.confirm(request.form.get('player_name', ''))\n session[USER_COOKIE] = player.cookie\n return redirect(url_for('player.player',\n secret_id=player.secret_id,\n _method='GET'))\n else: # request.method == 'GET'\n return render_template('player/confirm.html',\n unconfirmed_name=player.name,\n secret_id=secret_id)","def confirm(self, task, log):\n self._tasks_in_process.remove(task)\n log.confirm(self._name, task.get_name(), task.get_payment())","def _handle_consent_confirmation(user, is_confirmed):\n if is_confirmed == \"yes\":\n # user has already given consent, continue flow\n response = server.create_authorization_response(grant_user=user)\n else:\n # user did not give consent\n response = server.create_authorization_response(grant_user=None)\n return response","def confirm(userid, choice, popupid):\r\n if choice:\r\n players[userid].resetSkills()","def Confirm(self):\r\n \r\n global references\r\n self.from_ed = self.ed_result.get(\"1.0\",'end-1c')\r\n references.append(self.from_ed)\r\n self.confirm_b.configure(state = 'disabled')\r\n self.discard_b.configure(state = 'disabled')\r\n self.finalresult.configure(state = 'normal')\r\n self.finalresult.delete('1.0', END)\r\n \r\n self.final()","def no_going_back(confirmation):\r\n if not confirmation:\r\n confirmation = 'yes'\r\n\r\n return valid_response(\r\n 'This action cannot be undone! '\r\n 'Type \"%s\" or press Enter to abort: ' % confirmation,\r\n str(confirmation))","def confirm(text, window=None):\n return message(text, u'Confirma', M_QUESTION, B_YES_NO, window) == R_YES","def confirm(self, token):\n ser = Serializer(current_app.config['SECRET_KEY'])\n try:\n data = ser.loads(token.encode('utf-8'))\n except (BadSignature, SignatureExpired):\n return False\n if data.get('confirm') != self.id:\n return False\n self.confirmed = True\n db.session.add(self)\n return True","def admin_reject(user):\n if user.comments in (None or \"\"):\n return\n\n subject = \"ECE/CIS Account - Account Application rejected for %s\" % user.username\n application = \"https://www.eecis.udel.edu/NewAccount/\"\n helprequest = \"https://www.eecis.udel.edu/service\"\n sponsor = \"%s@eecis.udel.edu\" % user.sponsor\n \n message = \"Your ECE/CIS Account has been rejected by ECE/CIS faculty adminstrators.\\n\" % user.sponsor\n message += \"The reason given for rejection was:\\n\\n%s\\n\\n\" % user.comments\n message += \"You may re-apply with corrected information at %s\\n\" % application\n message += \"Please don't reply to this email. If have any questions, please \\n\"\n message += \"please post a ticket as an outsider at %s\" % helprequest\n message += \"-- ECE\\CIS Labstaff\"\n\n\n send('account@eecis.udel.edu', 'ECE/CIS Account System', \\\n [user.email, sponsor], subject, message, MAILHOST)","def action_confirm(self):\n # context = self._context or {}\n inv_obj = self.env['account.invoice']\n\n brw = self.browse(self.ids[0])\n line_ids = brw.line_ids\n if not line_ids:\n raise exceptions.except_orm(\n _('Invalid Procedure!'), _(\"No retention lines\"))\n\n res = [True]\n res += [False for i in line_ids\n if (i.wh_amount <= 0.0 or\n i.base_amount <= 0.0 or\n i.wh_src_rate <= 0.0)]\n if not all(res):\n raise exceptions.except_orm(\n _('Invalid Procedure!'),\n _(\"Verify retention lines do not have Null values(0.00)\"))\n\n res = 0.0\n for i in line_ids:\n res += i.wh_amount\n if abs(res - brw.wh_amount) > 0.0001:\n raise exceptions.except_orm(\n _('Invalid Procedure!'),\n _(\"Check the amount of withholdings\"))\n\n inv_ids = [i.invoice_id.id for i in brw.line_ids]\n if inv_ids:\n inv_obj.write({'wh_src_id': self.ids[0]})\n\n return self.write({'state': 'confirmed'})","async def _global(self, ctx, confirmation: bool = False):\r\n global_bank = await bank.is_global()\r\n if global_bank is False:\r\n return await ctx.send(_(\"This command cannot be used with a local bank.\"))\r\n\r\n if confirmation is False:\r\n await ctx.send(\r\n _(\r\n \"This will delete all bank accounts for users \"\r\n \"who no longer share a server with the bot.\"\r\n \"\\nIf you're sure, type `{prefix}bank prune global yes`\"\r\n ).format(prefix=ctx.clean_prefix)\r\n )\r\n else:\r\n await bank.bank_prune(self.bot)\r\n await ctx.send(\r\n _(\r\n \"Bank accounts for users who \"\r\n \"no longer share a server with the bot have been pruned.\"\r\n )\r\n )","async def _local(self, ctx, confirmation: bool = False):\r\n global_bank = await bank.is_global()\r\n if global_bank is True:\r\n return await ctx.send(_(\"This command cannot be used with a global bank.\"))\r\n\r\n if confirmation is False:\r\n await ctx.send(\r\n _(\r\n \"This will delete all bank accounts for users no longer in this server.\"\r\n \"\\nIf you're sure, type \"\r\n \"`{prefix}bank prune local yes`\"\r\n ).format(prefix=ctx.clean_prefix)\r\n )\r\n else:\r\n await bank.bank_prune(self.bot, guild=ctx.guild)\r\n await ctx.send(\r\n _(\"Bank accounts for users no longer in this server have been deleted.\")\r\n )","def confirmation_failed(self):","def confirm_further(self, update, context):\n response_code = update.callback_query[\"data\"] # wouldyou_{yes|no}\n request_id = context.user_data[\"current_request\"]\n log.info(\"No further comments req:%s %s\", request_id, response_code)\n self.finalize_request(update, context, request_id)","def confirm(force):\n if not force:\n ans = input(que(bold(\"Are you sure? [y/N]: \")))\n else:\n ans = 'y'\n\n return ans.lower()","def _confirm_action(self, action):\n\t\treturn True","def cancel(self):\n self.succeeded = False\n self.reject()","def cancel(self):\n self.succeeded = False\n self.reject()","def cancel(self):\n self.succeeded = False\n self.reject()","def cancel(self):\n self.succeeded = False\n self.reject()","def confirm_wouldyou(self, update, context):\n chat_id = update.effective_chat.id\n response_code = update.callback_query[\"data\"] # wouldyou_{yes|no}\n request_id = context.user_data[\"current_request\"]\n log.info(\"Wouldyou req:%s %s\", request_id, response_code)\n\n if response_code == \"wouldyou_yes\":\n # they want to keep returning to this beneficiary\n context.bot_data[request_id][\"would_return\"] = True\n else:\n context.bot_data[request_id][\"would_return\"] = False\n\n # Send the next question, asking if they have any special comments for future volunteers\n self.updater.bot.send_message(\n chat_id=chat_id,\n text=c.MSG_FEEDBACK_FURTHER_COMMENTS % context.bot_data[request_id][\"beneficiary\"],\n parse_mode=ParseMode.MARKDOWN,\n reply_markup=InlineKeyboardMarkup(k.further_comments_choices),\n )\n context.user_data[\"state\"] = c.State.EXPECTING_FURTHER_COMMENTS","def accept_cancel(self):\n self.ok = False\n self.destroy()","def profileupdaterequest_discard(request, request_id):\n profileupdate = get_object_or_404(ProfileUpdateRequest, active=True,\n pk=request_id)\n profileupdate.active = False\n profileupdate.save()\n\n messages.success(request,\n 'Profile update request was discarded successfully.')\n return redirect(reverse('all_profileupdaterequests'))","def confirmed(self, cr, uid, ids, context=None): \n self.write(cr, uid, ids, {'state':'confirmed'})\n return True","def confirm_action(config, msg=None, allow_auto=True):\n # type: (dict, str, bool) -> bool\n if allow_auto and config['_auto_confirm']:\n return True\n if msg is None:\n msg = 'action'\n while True:\n user = get_input('Confirm {} [y/n]: '.format(msg)).lower()\n if user in ('y', 'yes', 'n', 'no'):\n break\n if user in ('y', 'yes'):\n return True\n return False","def confirm():\n if g.session.user.email_confirmed:\n return redirect(url_for('index.index'))\n\n token = request.args.get('token')\n if token:\n try:\n user: User = db.session.query(User) \\\n .filter(User.confirmation_token == token).one()\n\n user.email_confirmed = True\n user.confirmation_token = None\n db.session.merge(user)\n db.session.commit()\n\n return render_template('sites/auth/confirm.html',\n title=gettext('Confirm Email'),\n sent=False, success=True), 200\n except NoResultFound:\n return render_template('sites/auth/confirm.html',\n title=gettext('Confirm Email'),\n sent=False, success=False), 401\n else:\n return render_template('sites/auth/confirm.html',\n title=gettext('Confirm Email'), sent=True), 200","async def async_step_confirm(self, user_input=None):\n errors = {}\n if user_input is not None:\n return await self.async_step_one(user_input=None)\n return self.async_show_form(step_id=\"confirm\", errors=errors)","def test_manually_confirm(self):\n data = {}\n response = self.client.post(self.url, data)\n self.assertRedirects(response, reverse('reminders_dashboard'))\n\n reminder = reminders.SentNotification.objects.get(pk=self.unconfirmed.pk)\n self.assertEqual(reminder.status, 'manual')\n self.assertEqual(reminder.date_confirmed.date(), datetime.date.today())","def test_manually_confirm(self):\n data = {}\n response = self.client.post(self.url, data)\n self.assertRedirects(response, reverse('reminders_dashboard'))\n\n reminder = reminders.SentNotification.objects.get(pk=self.unconfirmed.pk)\n self.assertEqual(reminder.status, 'manual')\n self.assertEqual(reminder.date_confirmed.date(), datetime.date.today())","def proceed():\n c_print(\"********** PROCEED? **********\")\n # capture user input\n confirm = input(\" \" * 36 + \"(y/n) \")\n # quit script if not confirmed\n if confirm.lower() != \"y\":\n c_print(\"******* EXITING SCRIPT *******\")\n print(\"~\" * 80)\n exit()\n else:\n c_print(\"********* PROCEEDING *********\")","async def cancel(self, ctx):\n author: User = ctx.user_object\n\n if has_post_permission(ctx.guild.id, ctx.channel.id):\n try:\n task = adv.get_adventure(ctx.author.id)\n\n adventureid = task[0]\n if adventureid == '0':\n if author.has_item_by_item(REAPER_TOKEN):\n author.update_inventory(REAPER_TOKEN, remove=True)\n adv.remove(ctx.author.id)\n out = 'Slayer task cancelled!'\n else:\n out = 'Error: You do not have a reaper token.'\n elif adventureid == '1':\n adv.remove(ctx.author.id)\n out = 'Killing session cancelled!'\n elif adventureid == '2':\n adv.remove(ctx.author.id)\n out = 'Quest cancelled!'\n elif adventureid == '3':\n adv.remove(ctx.author.id)\n out = 'Gather cancelled!'\n elif adventureid == '4':\n adv.remove(ctx.author.id)\n out = 'Clue scroll cancelled!'\n elif adventureid == '5':\n adv.remove(ctx.author.id)\n out = 'Reaper task cancelled!'\n elif adventureid == '6':\n adv.remove(ctx.author.id)\n out = 'Runecrafting session cancelled!'\n else:\n out = f'Error: Invalid Adventure ID {adventureid}'\n\n except NameError:\n out = 'You are not currently doing anything.'\n await ctx.send(out)","def button_confirm_bank(self):\n\n self.unlink_unconfirmed_lines()\n ret = super(AccountBankStatement, self).button_confirm_bank()\n return ret","def confirm(msg: str = \"Do you want it:\", default: bool = True) -> bool:\n\n question = [\n {\n 'type': 'confirm',\n 'name': 'confirm',\n 'message': msg,\n 'default': default\n }\n ]\n try:\n answer = prompt(question)\n return answer['confirm']\n except KeyError:\n exit = confirm(msg=\"Do you want cancel script\")\n if exit:\n raise SystemExit\n else:\n return confirm(msg, default)","async def user(\r\n self, ctx, member_or_id: Union[discord.Member, RawUserIds], confirmation: bool = False\r\n ):\r\n global_bank = await bank.is_global()\r\n if global_bank is False and ctx.guild is None:\r\n return await ctx.send(_(\"This command cannot be used in DMs with a local bank.\"))\r\n try:\r\n name = member_or_id.display_name\r\n uid = member_or_id.id\r\n except AttributeError:\r\n name = member_or_id\r\n uid = member_or_id\r\n\r\n if confirmation is False:\r\n await ctx.send(\r\n _(\r\n \"This will delete {name}'s bank account.\"\r\n \"\\nIf you're sure, type \"\r\n \"`{prefix}bank prune user {id} yes`\"\r\n ).format(prefix=ctx.clean_prefix, id=uid, name=name)\r\n )\r\n else:\r\n await bank.bank_prune(self.bot, guild=ctx.guild, user_id=uid)\r\n await ctx.send(_(\"The bank account for {name} has been pruned.\").format(name=name))","def waiting_confirmation(self):","def eventrequest_discard(request, request_id):\n eventrequest = get_object_or_404(EventRequest, active=True, pk=request_id)\n eventrequest.active = False\n eventrequest.save()\n\n messages.success(request,\n 'Workshop request was discarded successfully.')\n return redirect(reverse('all_eventrequests'))","def test_reset_confirmation(self):\n self._create_program_and_course_enrollment(self.program_uuid, self.user)\n\n with self._replace_stdin('confirm'):\n call_command(self.command, self.program_uuid)\n\n self._validate_enrollments_count(0)","def confirmBlock(self, activePlayer, opponentAction):\n # todo: raise notImplemented. should be overriden\n return None","def notify_email_confirmed(self, user, email):\n \n # make sure user isn't still invited to groups he owns or is a member of\n for g in self.users_groups(user):\n g.remove_invitation(user)","async def reset(self, ctx, confirmation: bool = False):\r\n if confirmation is False:\r\n await ctx.send(\r\n _(\r\n \"This will delete all bank accounts for {scope}.\\nIf you're sure, type \"\r\n \"`{prefix}bank reset yes`\"\r\n ).format(\r\n scope=self.bot.user.name if await bank.is_global() else _(\"this server\"),\r\n prefix=ctx.clean_prefix,\r\n )\r\n )\r\n else:\r\n await bank.wipe_bank(guild=ctx.guild)\r\n await ctx.send(\r\n _(\"All bank accounts for {scope} have been deleted.\").format(\r\n scope=self.bot.user.name if await bank.is_global() else _(\"this server\")\r\n )\r\n )","def resetConfirm(self):\n\n ## Check if exposure is in progress\n if self.thread.isRunning():\n QtGui.QMessageBox.warning(self, \"Exposure warning.\", \"Exposure in progress, unable to close program.\", QtGui.QMessageBox.Ok)\n return\n\n else:\n reply = QtGui.QMessageBox.question(self, 'Confirmation','Are you sure you want to reset the STA3800 controller?',\n QtGui.QMessageBox.Yes | QtGui.QMessageBox.No,\n QtGui.QMessageBox.No)\n\n if reply == QtGui.QMessageBox.Yes:\n self.reset()","def you_should_be_able_to_confirm_and_close(driver):\n wait_on_element(driver, 0.5, 30, '//h1[contains(.,\"Test Changes\")]')\n driver.find_element_by_xpath('//mat-checkbox[@ix-auto=\"checkbox__CONFIRM\"]').click()\n driver.find_element_by_xpath('//button[@ix-auto=\"button__TEST CHANGES\"]').click()\n wait_on_element_disappear(driver, 1, 30, '//h6[contains(.,\"Please wait\")]')","def confirm_tend(self, before, after, tx):\n assert True","def test_confirm_fail_consent_oauth_token(self):\n # First perform an add request that creates the flow request with status 'PENDING'\n res = self._add_flow_request()\n confirm_id = res.json()['confirm_id']\n process_id = res.json()['process_id']\n callback_url = 'http://127.0.0.1/'\n\n self.client.login(username='duck', password='duck')\n res = self.client.get('/v1/flow_requests/confirm/?confirm_id={}&callback_url={}&action=add'.format(\n confirm_id, callback_url))\n self.assertRedirects(res, \"{}?process_id={}&success=false&error={}\".format(callback_url, process_id, ERRORS_MESSAGE['INTERNAL_GATEWAY_ERROR']),\n fetch_redirect_response=False)","def send_confirmation(self):\r\n c.user.email_validated = False\r\n c.user.confirmation_code = random_key(6)\r\n c.user._commit()\r\n emailer.confirmation_email(c.user)","def handle_email_confirmed(sender, **kwargs):\n email = kwargs['email_address']\n email.user.userprofile.member.cast().confirm_email()","def iscanceled(*args):","def on_cancel(self):\n self.state = CANCELED\n self._reject()","def _confirm(self, delay_factor=1):\n\n delay_factor = self.select_delay_factor(delay_factor)\n error_marker = \"Nothing to confirm in configuration\"\n command_string = \"confirm\"\n\n if self.check_config_mode():\n self.exit_config_mode()\n\n output = self.send_command(\n command_string=command_string, delay_factor=delay_factor\n )\n\n if error_marker in output:\n raise ValueError(\n \"Confirm failed with following errors:\\n\\n{}\".format(output)\n )\n return output","def confirm_yes():\r\n confirm = raw_input(\"Enter 'yes' to confirm: \")\r\n if confirm == 'yes':\r\n return True\r\n return False","def confirm(id):\n #: get resources\n user = User.query.get_or_404(id)\n service = SignUpService(user)\n input_token = request.args['token']\n\n #: active current account\n try:\n service.active(input_token)\n except TokenUsedError:\n message = _(u\"The account had been actived.\")\n return render_template(\"confirm-failed.html\", message=message), 403\n except TokenWrongError:\n message = _(u\"The active token is invalid.\")\n return render_template(\"confirm-failed.html\", message=message), 403\n\n #: automatic sign in\n session_login(user)\n #: output a success message\n message = _(u\"The account has been actived successfully.\")\n return render_template(\"confirm-success.html\", message=message)","def confirm(msg: str) -> bool:\n res = input(msg + \" (Y/n) > \")\n if res == 'Y' or res == 'y' or res == 'yes' or res == 'Yes' or res == \"\":\n return True\n return False","def test_yes_option_disabled(\n self, wait_tx_settled_mock, confirm_mock, do_transfer_mock\n ):\n password_option = self.get_password_args(self.PASSWORD)\n self.invoke(\n \"transfer\",\n self.LEDGER_ID,\n self.get_address(self.LEDGER_ID, self.PASSWORD),\n \"100000\",\n \"100\",\n *password_option,\n )\n confirm_mock.assert_called_once()","def confirm(message: str = \"Confirm?\", suffix: str = \" (y/n) \") -> bool:\n session = create_confirm_session(message, suffix)\n return session.prompt()","def confirmCall(self, activePlayer, action):\n # todo: raise notImplemented. should be overriden\n return False","def confirm_email(self):\n # The base class' implementation does nothing\n pass","def _confirm_prompt(message, prompt=\"\\nAre you sure? [y/yes (default: no)]: \",\n affirmations=(\"Y\", \"Yes\", \"yes\", \"y\")):\n answer = input(message + prompt)\n return answer in affirmations","def confirm(self, prompt, default):\n raise NotImplementedError(NotImplementedMessage)","def confirmation(self, question, answer):\n confirm_flag = False\n while confirm_flag not in ['y', 'n']:\n confirm_flag = raw_input(question + ' [y/n]: ')\n if confirm_flag == 'y':\n print answer\n elif confirm_flag == 'n':\n print 'The user cancel the operation'\n exit()\n else:\n print 'The entry is not valid, please enter y or n.'\n return True","def confirm(self, prompt=None, resp=False):\n\n if prompt is None:\n prompt = 'Confirm'\n\n if resp:\n prompt = '%s [%s]|%s: ' % (prompt, 'y', 'n')\n else:\n prompt = '%s [%s]|%s: ' % (prompt, 'n', 'y')\n\n while True:\n ans = raw_input(prompt)\n if not ans:\n return resp\n if ans not in ['y', 'Y', 'n', 'N']:\n print 'please enter y or n.'\n continue\n if ans == 'y' or ans == 'Y':\n return True\n if ans == 'n' or ans == 'N':\n return False","def confirm_reset(self):\r\n confirm = QMessageBox.question(self,\r\n self.confirmDBClearTitleString,\r\n self.confirmDBClearQuestionString,\r\n QMessageBox.Yes |\r\n QMessageBox.No,\r\n QMessageBox.No)\r\n\r\n if confirm == QMessageBox.Yes:\r\n self.reset()","def confirm(self, action):\n title = \"%s : P L E A S E C O N F I R M\" % action\n question_text = \"<html><b>%s - PLEASE CONFIRM.</b><br/>\"\\\n \"<br/>Do you want to %s %s recordings for the following project?\"\\\n \"<br/><br/>PROJECT : %s\"\\\n \"<br/>CLIENT : %s\"\\\n \"<br/>DATE : %s<br/></html>\" % (\n action.upper(),\n action,\n \" & \".join(self.selected_formats),\n self.recordings_table.project_details()[2],\n self.recordings_table.project_details()[3],\n self.recordings_table.project_details()[0]\n )\n\n self.hide()\n if action == 'upload':\n self.confirmation_dialog.setText(title, question_text)\n self.confirmation_dialog.exec_()\n self.show()\n\n if self.confirmation_dialog.cancelled:\n return (False, False)\n\n return (True, self.confirmation_dialog.immediate_upload)\n else:\n self.confirmation_dialog.showQuestion(title, question_text)\n self.show()\n return self.confirmation_dialog.copy_confirmed","def test_canceled_unopposed(self):\n s1 = self.battle.create_skirmish(self.alice, 10) # Attack 10\n s1a = s1.react(self.bob, 8,\n troop_type=\"cavalry\") # --Attack 8 (12)\n s1a.react(self.alice, 6,\n troop_type=\"ranged\") # ----Attack 6 (9)\n s1.resolve()\n self.assertEqual(s1.victor, self.alice.team)\n self.assert_(s1.unopposed)\n\n # Should be 20 VP (double the 10 it'd ordinarily be worth)\n self.assertEqual(s1.vp, 20)","def disassociate_accounts(request, id):\n election = get_object_or_404(Election, pk=id)\n success = False\n if request.POST and \"confirm\" in request.POST:\n election.disassociate_accounts()\n success = True\n return render_to_response(\"django_elect/disassociate.html\", {\n \"title\": \"Disassociate Accounts for Election %s\" % election,\n \"election\": election,\n \"success\": success,\n }, context_instance=RequestContext(request))","async def confirm(self, msg, *args):\n if Controller.prev_regex is None:\n await msg.channel.send(**{\n 'content': 'No key change in progress',\n 'reference': msg.to_reference(),\n 'mention_author': True,\n })\n return\n Controller.prev_regex = None\n Controller.prev_help = None\n await msg.channel.send(**{\n 'content': 'Key change confirmed',\n 'reference': msg.to_reference(),\n 'mention_author': True,\n })","def test_confirm_invalid_action(self):\n headers = self._get_oauth_header()\n # using delete but it doesn't matter if it's delete or add\n res = self.client.delete('/v1/flow_requests/p_11111/', **headers)\n confirm_id = res.json()['confirm_id']\n callback_url = 'http://127.0.0.1/'\n\n self.client.login(username='duck', password='duck')\n res = self.client.get('/v1/flow_requests/confirm/?confirm_id={}&callback_url={}&action=NOT_VALID'.format(\n confirm_id, callback_url))\n\n self.assertEqual(res.status_code, 400)\n self.assertEqual(res.content.decode('utf-8'), ERRORS_MESSAGE['UNKNOWN_ACTION'])","def confirm_reset(self):\r\n confirm = QMessageBox.question(self,\r\n self.confirmDBClearTitleString,\r\n self.confirmDBClearQuestionString,\r\n QMessageBox.Yes |\r\n QMessageBox.No,\r\n QMessageBox.No)\r\n\r\n if confirm == QMessageBox.Yes:\r\n self.reset()","def confirm_email(self, request, email_address):\n email_address.verified = True\n email_address.set_as_primary(conditional=True)\n email_address.save()\n\n u = get_user_model().objects.get(pk=email_address.user.id)\n u.is_active = True\n u.save()","def confirmed(self, cr, uid, ids, context=None):\n\tallow_archive_line_obj = self.pool.get('services.contracts.allowances.lines')\n for record in self.browse(cr, uid, ids, context=context):\n\t\tif not record.allowances_lines_before :\n \traise osv.except_osv(_('Partner Lines !'), _('Sorry no partner Lines!'))\n\n\t \tlines_ids = [line.id for line in record.allowances_lines_after]\n \tallow_archive_line_obj.unlink(cr,uid,lines_ids,context=context)\n\n\t\tfor lines in record.allowances_lines_before:\n\t\t\tif lines.percentage_rating < 0 or lines.percentage_rating > 100 :\n \t\traise osv.except_osv(_('Rate Error !'), _('Sorry you insert wrong rate ... rate is between (0,100)!'))\n \t\tamount_after_rate_id = allow_archive_line_obj.create(cr, uid, {\n \t\t\t\t'cost_of_rent':lines.cost_of_rent,\n \t\t\t\t'amount_untaxed':round (lines.amount_untaxed*lines.percentage_rating/100,2),\n \t\t\t\t'amount_tax':round(lines.amount_tax*lines.percentage_rating/100,2),\n \t\t\t\t'amount_total':round(lines.amount_total*lines.percentage_rating/100,2),\n \t\t\t\t'deduct_days':lines.deduct_days,\n \t\t\t\t'deduct_amount':lines.deduct_amount,\n \t\t\t\t'contract_id':lines.contract_id.id,\n\t\t\t\t\t'env_allow_id_after_rate':record.id,\n\t\t\t\t\t'type': 'after',\n 'category_id':lines.category_id.id,\n\t\t\t\t\t'percentage_rating':lines.percentage_rating,\n\n })\n\t\t\n \n self.write(cr, uid, ids, {'state':'confirmed'})\n return True","async def remove(message, client, extra_args):\n\n if await funnypts_transaction(message, client, extra_args, \"remove\"):\n await message.channel.send(\"BRUH, THAT WAS CRINGE. SOMEONE JUST REVOKED YOUR FUNNYPOINT\")","def alert_cancel(self):\n self._alert_accept_cancel(False)","async def _delete_data(self, ctx: Context):\n\n if ctx.guild is not None:\n return await ctx.send(\"This command is available in DMs only.\")\n\n msg = await ctx.send(\n \"Are you sure you want to delete all your data? It will reset\"\n \" all your progress. **This action is irreversible.**\"\n )\n start_adding_reactions(msg, ReactionPredicate.YES_OR_NO_EMOJIS)\n\n pred = ReactionPredicate.yes_or_no(msg, ctx.author)\n try:\n await ctx.bot.wait_for(\"reaction_add\", check=pred)\n except asyncio.TimeoutError:\n return await ctx.send(\"You took too long to react. Data deletion cancelled.\")\n\n if pred.result is True:\n await ctx.send(\n \"Please reply to this message by sending `CONFIRM`,\"\n \" without any formatting, to confirm data deletion.\"\n )\n\n inner_pred = MessagePredicate.same_context(ctx)\n\n try:\n await self.bot.wait_for(\"message\", check=inner_pred, timeout=30)\n except asyncio.TimeoutError:\n return await ctx.send(\"You took too long to respond. Data deletion cancelled.\")\n\n if inner_pred.content.strip() == \"CONFIRM\":\n await self.config.user(ctx.author).clear()\n else:\n return await ctx.send(\"Cancelled data deletion.\")\n\n else:\n return await ctx.send(\"Cancelled data deletion request.\")\n\n await ctx.send(\n \"Data deletion request successful. All data associated with your account\"\n \" will be deleted within 24 hours. Data is not recoverable anymore.\"\n )","def confirm_dispatch(self, update, context):\n chat_id = update.effective_chat.id\n response_code = update.callback_query[\"data\"] # caution_ok or caution_cancel\n request_id = context.user_data[\"reviewed_request\"]\n log.info(\"Confirm req:%s %s\", request_id, response_code)\n\n request_details = context.bot_data[request_id]\n\n if response_code == \"caution_ok\":\n # They're in good health, let's go\n\n # send a location message, if this info is available in the request\n if \"latitude\" in request_details:\n self.updater.bot.send_location(\n chat_id, request_details[\"latitude\"], request_details[\"longitude\"]\n )\n\n # then send the rest of the details as text\n message = c.MSG_FULL_DETAILS % request_details\n\n if \"remarks\" in request_details:\n message += \"\\n\" + c.MSG_OTHER_REMARKS\n for remark in request_details[\"remarks\"]:\n message += \"- %s\\n\" % remark\n\n if \"hasDisabilities\" in request_details:\n message += \"\\n%s\\n\" % (c.MSG_DISABILITY % request_details)\n\n message += \"\\n\" + c.MSG_LET_ME_KNOW\n self.updater.bot.send_message(\n chat_id=chat_id,\n text=message,\n parse_mode=ParseMode.MARKDOWN,\n reply_markup=InlineKeyboardMarkup(k.handling_choices),\n )\n\n else: # caution_cancel\n # eventually they chose not to handle this request\n # TODO ask them why, maybe they're sick and they need help? Discuss whether this is relevant\n self.send_message(chat_id, c.MSG_NO_WORRIES_LATER)\n context.user_data[\"reviewed_request\"] = None\n context.user_data[\"state\"] = c.State.AVAILABLE\n self.backend.update_request_status(request_id, \"CANCELLED\")","def save(self, *args, **kwargs):\n if not self.require_confirm_email:\n User.objects.filter(is_active=False, deactivation_reason=\"pending\").update(\n is_active=True, deactivation_reason=None\n )\n if not self.invite_question_text:\n self.invite_question_text = \"What is your favourite book?\"\n super().save(*args, **kwargs)","def execute_civ_discard(index_to_discard: int, log: bool = True) -> None:\n game_state.remove_single_tiles_from_player(\n [index_to_discard],\n game_state.get_auction_winning_player(),\n log=log,\n )\n game_state.decrement_num_civs_to_discard()\n mark_player_passed_if_no_disasters(game_state.get_auction_winning_player())\n\n # if no disasters to be resolved, resume play from after\n # auction starter\n if not game_state.disasters_must_be_resolved():\n game_state.set_current_player(game_state.get_auction_start_player())\n game_state.advance_current_player()","def test_reactivation_for_unregistered_user(self, email_user):\r\n response_data = self.reactivation_email(self.unregisteredUser)\r\n\r\n self.assertFalse(response_data['success'])","def test_discard_action(self):\n self.plr.test_input = [\"discard silver\", \"finish selecting\"]\n self.plr.play_card(self.card)\n self.assertEqual(self.plr.piles[Piles.HAND].size(), 2)\n self.assertEqual(self.plr.actions.get(), 2)\n self.assertEqual(self.plr.buys.get(), 1)\n self.assertNotIn(\"Silver\", self.plr.piles[Piles.HAND])","async def team_unignore(self, ctx: commands.Context):\n await self.config.user(ctx.author).do_not_message.set(False)\n await ctx.send('Okay, I\\'ll include you back in team-wide DMs.')"],"string":"[\n \"def confirm_with_abort() -> None:\\n\\n click.confirm(\\n \\\"Are you sure you want to drop the users table?\\\",\\n abort=True\\n )\\n\\n click.echo(\\\"We have gotten to this point, so the user has confirmed.\\\")\",\n \"def action_confirm(self):\\n self.check_txt_ids()\\n self.write({'state': 'confirmed'})\\n return True\",\n \"async def confirm(ctx, *args: discord.Member):\\n await _confirm(args)\",\n \"def confirm(self):\\n self.automatically_detected=False\\n self.save()\",\n \"def unconfirm(self):\\n self.automatically_detected=True\\n self.save()\",\n \"def confirm(dt):\\n\\n database_api.signOut(Cache.get(\\\"info\\\",\\n \\\"token\\\"\\n ),\\n Cache.get(\\\"info\\\",\\n \\\"nick\\\"\\n )\\n )\\n\\n if platform.system() == \\\"Linux\\\":\\n os.system(\\\"sh func/sh/restore.sh\\\")\\n\\n App.get_running_app().stop()\",\n \"def confirm(self):\\n with self.handle_alert(confirm=True):\\n self.q(css='button#confirm').first.click()\",\n \"def confirm_action(message):\\n if not click.confirm(message + \\\" Continue?\\\"):\\n logger.info(\\\"User cancels action. Exiting...\\\")\\n exit(0)\\n else: return\",\n \"def confirm_as_variable() -> None:\\n\\n confirmed = click.confirm(\\\"Are you sure you want to drop the users table?\\\")\\n status = click.style(\\\"yes\\\", fg=\\\"green\\\") if confirmed else click.style(\\\"no\\\", fg=\\\"red\\\")\\n click.echo(\\\"Drop table confirmed?: \\\" + status)\",\n \"def action_confirm(self):\\n options=self.env['plm.config.settings'].GetOptions()\\n status = 'confirmed'\\n action = 'confirm'\\n default = {\\n 'state': status,\\n 'engineering_writable': False,\\n }\\n doc_default = {\\n 'state': status,\\n 'writable': False,\\n }\\n operationParams = {\\n 'status': status,\\n 'statusName': _('Confirmed'),\\n 'action': action,\\n 'docaction': 'confirm',\\n 'excludeStatuses': ['confirmed', 'transmitted', 'released', 'undermodify', 'obsoleted'],\\n 'includeStatuses': ['draft'],\\n 'default': default,\\n 'doc_default': doc_default,\\n }\\n if options.get('opt_showWFanalysis', False):\\n return self.action_check_workflow(operationParams)\\n else:\\n ids=self._ids\\n self.logging_workflow(ids, action, status)\\n return self._action_to_perform(ids, operationParams, default)\",\n \"def confirm(self, message):\\n raise NotImplementedError\",\n \"def confirm_removal(confirm, filename):\\n if confirm == 'y' or confirm == 'yes':\\n remove_file(filename)\\n elif confirm == 'n' or confirm == 'no':\\n print(\\\"File will stay there\\\")\\n else:\\n print(\\\"Please etner a valid answer (y/n, yes/no)\\\")\\n confirm_removal()\",\n \"def cancel(self):\\n with self.handle_alert(confirm=False):\\n self.q(css='button#confirm').first.click()\",\n \"def confirm():\\n\\t\\traise NotImplementedError\",\n \"def confirmed(self):\",\n \"def confirm_delete(self):\\n self.language = LANGUAGE.get(self.lang)\\n message = Message(self.language[\\\"del_user\\\"], self.language[\\\"del_info\\\"])\\n delete_message = message.create_question_message(self.language[\\\"yes\\\"])\\n response = delete_message.exec()\\n\\n if response == QMessageBox.Yes:\\n self.delete_user()\\n elif response == QMessageBox.No:\\n delete_message.close()\",\n \"def confirm():\\n if request.method == 'POST':\\n user_type = session.get('type', None)\\n if user_type == 'Admin':\\n return redirect('/index')\\n elif user_type == 'Client':\\n return redirect('/clients/' + session.get('name'))\\n else:\\n return redirect('/')\\n\\n confirmed = request.values['confirmed']\\n \\n return render_template('confirm.html', confirmed=confirmed)\",\n \"def test_confirm_user(self):\\n user = User(email=\\\"test@email.com\\\", password=\\\"testpassword\\\")\\n\\n self.assertFalse(user.confirmed)\\n self.assertIsNone(user.confirmed_at)\\n self.assertIsNotNone(user.confirmation_token)\\n\\n user.confirm()\\n\\n self.assertTrue(user.confirmed)\\n self.assertIsNotNone(user.confirmed_at)\\n self.assertIsNone(user.confirmation_token)\",\n \"def confirm_so(self, cr, uid, ids,context=None):\\n return self.write(cr, uid, ids, {'state':'confirm_so'}, context=context)\",\n \"def prompt_discard(self, num_discards: int, state: 'State'):\\n # TODO: Refactor to allow for flexible discarding (see Cellar). Meybe a force discard and a prompt discard?\\n while self.hand and num_discards > 0:\\n sorted_hand = sorted(list(self.hand), key=card_sort)\\n card_name = self.get_input(\\n f'Discard {num_discards} cards'\\n f'Hand: {sorted_hand}',\\n sorted_hand,\\n state\\n )\\n # If the prompted card is in hand, discard it\\n card = next((card for card in self.hand if card.name == card_name), None)\\n if card:\\n self.hand[card] -= 1\\n self.hand += Counter() # Remove 0 and negative counts\\n self.discard_pile.append(card)\\n num_discards -= 1\\n print(f'Discarded {card.name}')\\n else:\\n print(f'{card.name} is not in hand')\",\n \"def __onConfirmNo(self):\\n self.__confDlg.reject()\",\n \"def cancel_dummy(self):\\n if self.state != 'authorized':\\n self.raise_user_error('cancel_only_authorized')\\n else:\\n self.state = 'cancel'\\n self.save()\",\n \"def confirm(secret_id='', game=None):\\n player = get_player(current_app, request, secret_id)\\n if player.is_confirmed:\\n flash(_('Your name is already confirmed as %(n)s', n=player.name),\\n 'error')\\n return redirect(url_for('player.player',\\n secret_id=player.secret_id,\\n _method='GET'))\\n if game.state != game.State.CONFIRMING:\\n return render_template('player/too-late.html',\\n player_name=player.name)\\n if request.method == 'POST':\\n player.confirm(request.form.get('player_name', ''))\\n session[USER_COOKIE] = player.cookie\\n return redirect(url_for('player.player',\\n secret_id=player.secret_id,\\n _method='GET'))\\n else: # request.method == 'GET'\\n return render_template('player/confirm.html',\\n unconfirmed_name=player.name,\\n secret_id=secret_id)\",\n \"def confirm(self, task, log):\\n self._tasks_in_process.remove(task)\\n log.confirm(self._name, task.get_name(), task.get_payment())\",\n \"def _handle_consent_confirmation(user, is_confirmed):\\n if is_confirmed == \\\"yes\\\":\\n # user has already given consent, continue flow\\n response = server.create_authorization_response(grant_user=user)\\n else:\\n # user did not give consent\\n response = server.create_authorization_response(grant_user=None)\\n return response\",\n \"def confirm(userid, choice, popupid):\\r\\n if choice:\\r\\n players[userid].resetSkills()\",\n \"def Confirm(self):\\r\\n \\r\\n global references\\r\\n self.from_ed = self.ed_result.get(\\\"1.0\\\",'end-1c')\\r\\n references.append(self.from_ed)\\r\\n self.confirm_b.configure(state = 'disabled')\\r\\n self.discard_b.configure(state = 'disabled')\\r\\n self.finalresult.configure(state = 'normal')\\r\\n self.finalresult.delete('1.0', END)\\r\\n \\r\\n self.final()\",\n \"def no_going_back(confirmation):\\r\\n if not confirmation:\\r\\n confirmation = 'yes'\\r\\n\\r\\n return valid_response(\\r\\n 'This action cannot be undone! '\\r\\n 'Type \\\"%s\\\" or press Enter to abort: ' % confirmation,\\r\\n str(confirmation))\",\n \"def confirm(text, window=None):\\n return message(text, u'Confirma', M_QUESTION, B_YES_NO, window) == R_YES\",\n \"def confirm(self, token):\\n ser = Serializer(current_app.config['SECRET_KEY'])\\n try:\\n data = ser.loads(token.encode('utf-8'))\\n except (BadSignature, SignatureExpired):\\n return False\\n if data.get('confirm') != self.id:\\n return False\\n self.confirmed = True\\n db.session.add(self)\\n return True\",\n \"def admin_reject(user):\\n if user.comments in (None or \\\"\\\"):\\n return\\n\\n subject = \\\"ECE/CIS Account - Account Application rejected for %s\\\" % user.username\\n application = \\\"https://www.eecis.udel.edu/NewAccount/\\\"\\n helprequest = \\\"https://www.eecis.udel.edu/service\\\"\\n sponsor = \\\"%s@eecis.udel.edu\\\" % user.sponsor\\n \\n message = \\\"Your ECE/CIS Account has been rejected by ECE/CIS faculty adminstrators.\\\\n\\\" % user.sponsor\\n message += \\\"The reason given for rejection was:\\\\n\\\\n%s\\\\n\\\\n\\\" % user.comments\\n message += \\\"You may re-apply with corrected information at %s\\\\n\\\" % application\\n message += \\\"Please don't reply to this email. If have any questions, please \\\\n\\\"\\n message += \\\"please post a ticket as an outsider at %s\\\" % helprequest\\n message += \\\"-- ECE\\\\CIS Labstaff\\\"\\n\\n\\n send('account@eecis.udel.edu', 'ECE/CIS Account System', \\\\\\n [user.email, sponsor], subject, message, MAILHOST)\",\n \"def action_confirm(self):\\n # context = self._context or {}\\n inv_obj = self.env['account.invoice']\\n\\n brw = self.browse(self.ids[0])\\n line_ids = brw.line_ids\\n if not line_ids:\\n raise exceptions.except_orm(\\n _('Invalid Procedure!'), _(\\\"No retention lines\\\"))\\n\\n res = [True]\\n res += [False for i in line_ids\\n if (i.wh_amount <= 0.0 or\\n i.base_amount <= 0.0 or\\n i.wh_src_rate <= 0.0)]\\n if not all(res):\\n raise exceptions.except_orm(\\n _('Invalid Procedure!'),\\n _(\\\"Verify retention lines do not have Null values(0.00)\\\"))\\n\\n res = 0.0\\n for i in line_ids:\\n res += i.wh_amount\\n if abs(res - brw.wh_amount) > 0.0001:\\n raise exceptions.except_orm(\\n _('Invalid Procedure!'),\\n _(\\\"Check the amount of withholdings\\\"))\\n\\n inv_ids = [i.invoice_id.id for i in brw.line_ids]\\n if inv_ids:\\n inv_obj.write({'wh_src_id': self.ids[0]})\\n\\n return self.write({'state': 'confirmed'})\",\n \"async def _global(self, ctx, confirmation: bool = False):\\r\\n global_bank = await bank.is_global()\\r\\n if global_bank is False:\\r\\n return await ctx.send(_(\\\"This command cannot be used with a local bank.\\\"))\\r\\n\\r\\n if confirmation is False:\\r\\n await ctx.send(\\r\\n _(\\r\\n \\\"This will delete all bank accounts for users \\\"\\r\\n \\\"who no longer share a server with the bot.\\\"\\r\\n \\\"\\\\nIf you're sure, type `{prefix}bank prune global yes`\\\"\\r\\n ).format(prefix=ctx.clean_prefix)\\r\\n )\\r\\n else:\\r\\n await bank.bank_prune(self.bot)\\r\\n await ctx.send(\\r\\n _(\\r\\n \\\"Bank accounts for users who \\\"\\r\\n \\\"no longer share a server with the bot have been pruned.\\\"\\r\\n )\\r\\n )\",\n \"async def _local(self, ctx, confirmation: bool = False):\\r\\n global_bank = await bank.is_global()\\r\\n if global_bank is True:\\r\\n return await ctx.send(_(\\\"This command cannot be used with a global bank.\\\"))\\r\\n\\r\\n if confirmation is False:\\r\\n await ctx.send(\\r\\n _(\\r\\n \\\"This will delete all bank accounts for users no longer in this server.\\\"\\r\\n \\\"\\\\nIf you're sure, type \\\"\\r\\n \\\"`{prefix}bank prune local yes`\\\"\\r\\n ).format(prefix=ctx.clean_prefix)\\r\\n )\\r\\n else:\\r\\n await bank.bank_prune(self.bot, guild=ctx.guild)\\r\\n await ctx.send(\\r\\n _(\\\"Bank accounts for users no longer in this server have been deleted.\\\")\\r\\n )\",\n \"def confirmation_failed(self):\",\n \"def confirm_further(self, update, context):\\n response_code = update.callback_query[\\\"data\\\"] # wouldyou_{yes|no}\\n request_id = context.user_data[\\\"current_request\\\"]\\n log.info(\\\"No further comments req:%s %s\\\", request_id, response_code)\\n self.finalize_request(update, context, request_id)\",\n \"def confirm(force):\\n if not force:\\n ans = input(que(bold(\\\"Are you sure? [y/N]: \\\")))\\n else:\\n ans = 'y'\\n\\n return ans.lower()\",\n \"def _confirm_action(self, action):\\n\\t\\treturn True\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def cancel(self):\\n self.succeeded = False\\n self.reject()\",\n \"def confirm_wouldyou(self, update, context):\\n chat_id = update.effective_chat.id\\n response_code = update.callback_query[\\\"data\\\"] # wouldyou_{yes|no}\\n request_id = context.user_data[\\\"current_request\\\"]\\n log.info(\\\"Wouldyou req:%s %s\\\", request_id, response_code)\\n\\n if response_code == \\\"wouldyou_yes\\\":\\n # they want to keep returning to this beneficiary\\n context.bot_data[request_id][\\\"would_return\\\"] = True\\n else:\\n context.bot_data[request_id][\\\"would_return\\\"] = False\\n\\n # Send the next question, asking if they have any special comments for future volunteers\\n self.updater.bot.send_message(\\n chat_id=chat_id,\\n text=c.MSG_FEEDBACK_FURTHER_COMMENTS % context.bot_data[request_id][\\\"beneficiary\\\"],\\n parse_mode=ParseMode.MARKDOWN,\\n reply_markup=InlineKeyboardMarkup(k.further_comments_choices),\\n )\\n context.user_data[\\\"state\\\"] = c.State.EXPECTING_FURTHER_COMMENTS\",\n \"def accept_cancel(self):\\n self.ok = False\\n self.destroy()\",\n \"def profileupdaterequest_discard(request, request_id):\\n profileupdate = get_object_or_404(ProfileUpdateRequest, active=True,\\n pk=request_id)\\n profileupdate.active = False\\n profileupdate.save()\\n\\n messages.success(request,\\n 'Profile update request was discarded successfully.')\\n return redirect(reverse('all_profileupdaterequests'))\",\n \"def confirmed(self, cr, uid, ids, context=None): \\n self.write(cr, uid, ids, {'state':'confirmed'})\\n return True\",\n \"def confirm_action(config, msg=None, allow_auto=True):\\n # type: (dict, str, bool) -> bool\\n if allow_auto and config['_auto_confirm']:\\n return True\\n if msg is None:\\n msg = 'action'\\n while True:\\n user = get_input('Confirm {} [y/n]: '.format(msg)).lower()\\n if user in ('y', 'yes', 'n', 'no'):\\n break\\n if user in ('y', 'yes'):\\n return True\\n return False\",\n \"def confirm():\\n if g.session.user.email_confirmed:\\n return redirect(url_for('index.index'))\\n\\n token = request.args.get('token')\\n if token:\\n try:\\n user: User = db.session.query(User) \\\\\\n .filter(User.confirmation_token == token).one()\\n\\n user.email_confirmed = True\\n user.confirmation_token = None\\n db.session.merge(user)\\n db.session.commit()\\n\\n return render_template('sites/auth/confirm.html',\\n title=gettext('Confirm Email'),\\n sent=False, success=True), 200\\n except NoResultFound:\\n return render_template('sites/auth/confirm.html',\\n title=gettext('Confirm Email'),\\n sent=False, success=False), 401\\n else:\\n return render_template('sites/auth/confirm.html',\\n title=gettext('Confirm Email'), sent=True), 200\",\n \"async def async_step_confirm(self, user_input=None):\\n errors = {}\\n if user_input is not None:\\n return await self.async_step_one(user_input=None)\\n return self.async_show_form(step_id=\\\"confirm\\\", errors=errors)\",\n \"def test_manually_confirm(self):\\n data = {}\\n response = self.client.post(self.url, data)\\n self.assertRedirects(response, reverse('reminders_dashboard'))\\n\\n reminder = reminders.SentNotification.objects.get(pk=self.unconfirmed.pk)\\n self.assertEqual(reminder.status, 'manual')\\n self.assertEqual(reminder.date_confirmed.date(), datetime.date.today())\",\n \"def test_manually_confirm(self):\\n data = {}\\n response = self.client.post(self.url, data)\\n self.assertRedirects(response, reverse('reminders_dashboard'))\\n\\n reminder = reminders.SentNotification.objects.get(pk=self.unconfirmed.pk)\\n self.assertEqual(reminder.status, 'manual')\\n self.assertEqual(reminder.date_confirmed.date(), datetime.date.today())\",\n \"def proceed():\\n c_print(\\\"********** PROCEED? **********\\\")\\n # capture user input\\n confirm = input(\\\" \\\" * 36 + \\\"(y/n) \\\")\\n # quit script if not confirmed\\n if confirm.lower() != \\\"y\\\":\\n c_print(\\\"******* EXITING SCRIPT *******\\\")\\n print(\\\"~\\\" * 80)\\n exit()\\n else:\\n c_print(\\\"********* PROCEEDING *********\\\")\",\n \"async def cancel(self, ctx):\\n author: User = ctx.user_object\\n\\n if has_post_permission(ctx.guild.id, ctx.channel.id):\\n try:\\n task = adv.get_adventure(ctx.author.id)\\n\\n adventureid = task[0]\\n if adventureid == '0':\\n if author.has_item_by_item(REAPER_TOKEN):\\n author.update_inventory(REAPER_TOKEN, remove=True)\\n adv.remove(ctx.author.id)\\n out = 'Slayer task cancelled!'\\n else:\\n out = 'Error: You do not have a reaper token.'\\n elif adventureid == '1':\\n adv.remove(ctx.author.id)\\n out = 'Killing session cancelled!'\\n elif adventureid == '2':\\n adv.remove(ctx.author.id)\\n out = 'Quest cancelled!'\\n elif adventureid == '3':\\n adv.remove(ctx.author.id)\\n out = 'Gather cancelled!'\\n elif adventureid == '4':\\n adv.remove(ctx.author.id)\\n out = 'Clue scroll cancelled!'\\n elif adventureid == '5':\\n adv.remove(ctx.author.id)\\n out = 'Reaper task cancelled!'\\n elif adventureid == '6':\\n adv.remove(ctx.author.id)\\n out = 'Runecrafting session cancelled!'\\n else:\\n out = f'Error: Invalid Adventure ID {adventureid}'\\n\\n except NameError:\\n out = 'You are not currently doing anything.'\\n await ctx.send(out)\",\n \"def button_confirm_bank(self):\\n\\n self.unlink_unconfirmed_lines()\\n ret = super(AccountBankStatement, self).button_confirm_bank()\\n return ret\",\n \"def confirm(msg: str = \\\"Do you want it:\\\", default: bool = True) -> bool:\\n\\n question = [\\n {\\n 'type': 'confirm',\\n 'name': 'confirm',\\n 'message': msg,\\n 'default': default\\n }\\n ]\\n try:\\n answer = prompt(question)\\n return answer['confirm']\\n except KeyError:\\n exit = confirm(msg=\\\"Do you want cancel script\\\")\\n if exit:\\n raise SystemExit\\n else:\\n return confirm(msg, default)\",\n \"async def user(\\r\\n self, ctx, member_or_id: Union[discord.Member, RawUserIds], confirmation: bool = False\\r\\n ):\\r\\n global_bank = await bank.is_global()\\r\\n if global_bank is False and ctx.guild is None:\\r\\n return await ctx.send(_(\\\"This command cannot be used in DMs with a local bank.\\\"))\\r\\n try:\\r\\n name = member_or_id.display_name\\r\\n uid = member_or_id.id\\r\\n except AttributeError:\\r\\n name = member_or_id\\r\\n uid = member_or_id\\r\\n\\r\\n if confirmation is False:\\r\\n await ctx.send(\\r\\n _(\\r\\n \\\"This will delete {name}'s bank account.\\\"\\r\\n \\\"\\\\nIf you're sure, type \\\"\\r\\n \\\"`{prefix}bank prune user {id} yes`\\\"\\r\\n ).format(prefix=ctx.clean_prefix, id=uid, name=name)\\r\\n )\\r\\n else:\\r\\n await bank.bank_prune(self.bot, guild=ctx.guild, user_id=uid)\\r\\n await ctx.send(_(\\\"The bank account for {name} has been pruned.\\\").format(name=name))\",\n \"def waiting_confirmation(self):\",\n \"def eventrequest_discard(request, request_id):\\n eventrequest = get_object_or_404(EventRequest, active=True, pk=request_id)\\n eventrequest.active = False\\n eventrequest.save()\\n\\n messages.success(request,\\n 'Workshop request was discarded successfully.')\\n return redirect(reverse('all_eventrequests'))\",\n \"def test_reset_confirmation(self):\\n self._create_program_and_course_enrollment(self.program_uuid, self.user)\\n\\n with self._replace_stdin('confirm'):\\n call_command(self.command, self.program_uuid)\\n\\n self._validate_enrollments_count(0)\",\n \"def confirmBlock(self, activePlayer, opponentAction):\\n # todo: raise notImplemented. should be overriden\\n return None\",\n \"def notify_email_confirmed(self, user, email):\\n \\n # make sure user isn't still invited to groups he owns or is a member of\\n for g in self.users_groups(user):\\n g.remove_invitation(user)\",\n \"async def reset(self, ctx, confirmation: bool = False):\\r\\n if confirmation is False:\\r\\n await ctx.send(\\r\\n _(\\r\\n \\\"This will delete all bank accounts for {scope}.\\\\nIf you're sure, type \\\"\\r\\n \\\"`{prefix}bank reset yes`\\\"\\r\\n ).format(\\r\\n scope=self.bot.user.name if await bank.is_global() else _(\\\"this server\\\"),\\r\\n prefix=ctx.clean_prefix,\\r\\n )\\r\\n )\\r\\n else:\\r\\n await bank.wipe_bank(guild=ctx.guild)\\r\\n await ctx.send(\\r\\n _(\\\"All bank accounts for {scope} have been deleted.\\\").format(\\r\\n scope=self.bot.user.name if await bank.is_global() else _(\\\"this server\\\")\\r\\n )\\r\\n )\",\n \"def resetConfirm(self):\\n\\n ## Check if exposure is in progress\\n if self.thread.isRunning():\\n QtGui.QMessageBox.warning(self, \\\"Exposure warning.\\\", \\\"Exposure in progress, unable to close program.\\\", QtGui.QMessageBox.Ok)\\n return\\n\\n else:\\n reply = QtGui.QMessageBox.question(self, 'Confirmation','Are you sure you want to reset the STA3800 controller?',\\n QtGui.QMessageBox.Yes | QtGui.QMessageBox.No,\\n QtGui.QMessageBox.No)\\n\\n if reply == QtGui.QMessageBox.Yes:\\n self.reset()\",\n \"def you_should_be_able_to_confirm_and_close(driver):\\n wait_on_element(driver, 0.5, 30, '//h1[contains(.,\\\"Test Changes\\\")]')\\n driver.find_element_by_xpath('//mat-checkbox[@ix-auto=\\\"checkbox__CONFIRM\\\"]').click()\\n driver.find_element_by_xpath('//button[@ix-auto=\\\"button__TEST CHANGES\\\"]').click()\\n wait_on_element_disappear(driver, 1, 30, '//h6[contains(.,\\\"Please wait\\\")]')\",\n \"def confirm_tend(self, before, after, tx):\\n assert True\",\n \"def test_confirm_fail_consent_oauth_token(self):\\n # First perform an add request that creates the flow request with status 'PENDING'\\n res = self._add_flow_request()\\n confirm_id = res.json()['confirm_id']\\n process_id = res.json()['process_id']\\n callback_url = 'http://127.0.0.1/'\\n\\n self.client.login(username='duck', password='duck')\\n res = self.client.get('/v1/flow_requests/confirm/?confirm_id={}&callback_url={}&action=add'.format(\\n confirm_id, callback_url))\\n self.assertRedirects(res, \\\"{}?process_id={}&success=false&error={}\\\".format(callback_url, process_id, ERRORS_MESSAGE['INTERNAL_GATEWAY_ERROR']),\\n fetch_redirect_response=False)\",\n \"def send_confirmation(self):\\r\\n c.user.email_validated = False\\r\\n c.user.confirmation_code = random_key(6)\\r\\n c.user._commit()\\r\\n emailer.confirmation_email(c.user)\",\n \"def handle_email_confirmed(sender, **kwargs):\\n email = kwargs['email_address']\\n email.user.userprofile.member.cast().confirm_email()\",\n \"def iscanceled(*args):\",\n \"def on_cancel(self):\\n self.state = CANCELED\\n self._reject()\",\n \"def _confirm(self, delay_factor=1):\\n\\n delay_factor = self.select_delay_factor(delay_factor)\\n error_marker = \\\"Nothing to confirm in configuration\\\"\\n command_string = \\\"confirm\\\"\\n\\n if self.check_config_mode():\\n self.exit_config_mode()\\n\\n output = self.send_command(\\n command_string=command_string, delay_factor=delay_factor\\n )\\n\\n if error_marker in output:\\n raise ValueError(\\n \\\"Confirm failed with following errors:\\\\n\\\\n{}\\\".format(output)\\n )\\n return output\",\n \"def confirm_yes():\\r\\n confirm = raw_input(\\\"Enter 'yes' to confirm: \\\")\\r\\n if confirm == 'yes':\\r\\n return True\\r\\n return False\",\n \"def confirm(id):\\n #: get resources\\n user = User.query.get_or_404(id)\\n service = SignUpService(user)\\n input_token = request.args['token']\\n\\n #: active current account\\n try:\\n service.active(input_token)\\n except TokenUsedError:\\n message = _(u\\\"The account had been actived.\\\")\\n return render_template(\\\"confirm-failed.html\\\", message=message), 403\\n except TokenWrongError:\\n message = _(u\\\"The active token is invalid.\\\")\\n return render_template(\\\"confirm-failed.html\\\", message=message), 403\\n\\n #: automatic sign in\\n session_login(user)\\n #: output a success message\\n message = _(u\\\"The account has been actived successfully.\\\")\\n return render_template(\\\"confirm-success.html\\\", message=message)\",\n \"def confirm(msg: str) -> bool:\\n res = input(msg + \\\" (Y/n) > \\\")\\n if res == 'Y' or res == 'y' or res == 'yes' or res == 'Yes' or res == \\\"\\\":\\n return True\\n return False\",\n \"def test_yes_option_disabled(\\n self, wait_tx_settled_mock, confirm_mock, do_transfer_mock\\n ):\\n password_option = self.get_password_args(self.PASSWORD)\\n self.invoke(\\n \\\"transfer\\\",\\n self.LEDGER_ID,\\n self.get_address(self.LEDGER_ID, self.PASSWORD),\\n \\\"100000\\\",\\n \\\"100\\\",\\n *password_option,\\n )\\n confirm_mock.assert_called_once()\",\n \"def confirm(message: str = \\\"Confirm?\\\", suffix: str = \\\" (y/n) \\\") -> bool:\\n session = create_confirm_session(message, suffix)\\n return session.prompt()\",\n \"def confirmCall(self, activePlayer, action):\\n # todo: raise notImplemented. should be overriden\\n return False\",\n \"def confirm_email(self):\\n # The base class' implementation does nothing\\n pass\",\n \"def _confirm_prompt(message, prompt=\\\"\\\\nAre you sure? [y/yes (default: no)]: \\\",\\n affirmations=(\\\"Y\\\", \\\"Yes\\\", \\\"yes\\\", \\\"y\\\")):\\n answer = input(message + prompt)\\n return answer in affirmations\",\n \"def confirm(self, prompt, default):\\n raise NotImplementedError(NotImplementedMessage)\",\n \"def confirmation(self, question, answer):\\n confirm_flag = False\\n while confirm_flag not in ['y', 'n']:\\n confirm_flag = raw_input(question + ' [y/n]: ')\\n if confirm_flag == 'y':\\n print answer\\n elif confirm_flag == 'n':\\n print 'The user cancel the operation'\\n exit()\\n else:\\n print 'The entry is not valid, please enter y or n.'\\n return True\",\n \"def confirm(self, prompt=None, resp=False):\\n\\n if prompt is None:\\n prompt = 'Confirm'\\n\\n if resp:\\n prompt = '%s [%s]|%s: ' % (prompt, 'y', 'n')\\n else:\\n prompt = '%s [%s]|%s: ' % (prompt, 'n', 'y')\\n\\n while True:\\n ans = raw_input(prompt)\\n if not ans:\\n return resp\\n if ans not in ['y', 'Y', 'n', 'N']:\\n print 'please enter y or n.'\\n continue\\n if ans == 'y' or ans == 'Y':\\n return True\\n if ans == 'n' or ans == 'N':\\n return False\",\n \"def confirm_reset(self):\\r\\n confirm = QMessageBox.question(self,\\r\\n self.confirmDBClearTitleString,\\r\\n self.confirmDBClearQuestionString,\\r\\n QMessageBox.Yes |\\r\\n QMessageBox.No,\\r\\n QMessageBox.No)\\r\\n\\r\\n if confirm == QMessageBox.Yes:\\r\\n self.reset()\",\n \"def confirm(self, action):\\n title = \\\"%s : P L E A S E C O N F I R M\\\" % action\\n question_text = \\\"<html><b>%s - PLEASE CONFIRM.</b><br/>\\\"\\\\\\n \\\"<br/>Do you want to %s %s recordings for the following project?\\\"\\\\\\n \\\"<br/><br/>PROJECT : %s\\\"\\\\\\n \\\"<br/>CLIENT : %s\\\"\\\\\\n \\\"<br/>DATE : %s<br/></html>\\\" % (\\n action.upper(),\\n action,\\n \\\" & \\\".join(self.selected_formats),\\n self.recordings_table.project_details()[2],\\n self.recordings_table.project_details()[3],\\n self.recordings_table.project_details()[0]\\n )\\n\\n self.hide()\\n if action == 'upload':\\n self.confirmation_dialog.setText(title, question_text)\\n self.confirmation_dialog.exec_()\\n self.show()\\n\\n if self.confirmation_dialog.cancelled:\\n return (False, False)\\n\\n return (True, self.confirmation_dialog.immediate_upload)\\n else:\\n self.confirmation_dialog.showQuestion(title, question_text)\\n self.show()\\n return self.confirmation_dialog.copy_confirmed\",\n \"def test_canceled_unopposed(self):\\n s1 = self.battle.create_skirmish(self.alice, 10) # Attack 10\\n s1a = s1.react(self.bob, 8,\\n troop_type=\\\"cavalry\\\") # --Attack 8 (12)\\n s1a.react(self.alice, 6,\\n troop_type=\\\"ranged\\\") # ----Attack 6 (9)\\n s1.resolve()\\n self.assertEqual(s1.victor, self.alice.team)\\n self.assert_(s1.unopposed)\\n\\n # Should be 20 VP (double the 10 it'd ordinarily be worth)\\n self.assertEqual(s1.vp, 20)\",\n \"def disassociate_accounts(request, id):\\n election = get_object_or_404(Election, pk=id)\\n success = False\\n if request.POST and \\\"confirm\\\" in request.POST:\\n election.disassociate_accounts()\\n success = True\\n return render_to_response(\\\"django_elect/disassociate.html\\\", {\\n \\\"title\\\": \\\"Disassociate Accounts for Election %s\\\" % election,\\n \\\"election\\\": election,\\n \\\"success\\\": success,\\n }, context_instance=RequestContext(request))\",\n \"async def confirm(self, msg, *args):\\n if Controller.prev_regex is None:\\n await msg.channel.send(**{\\n 'content': 'No key change in progress',\\n 'reference': msg.to_reference(),\\n 'mention_author': True,\\n })\\n return\\n Controller.prev_regex = None\\n Controller.prev_help = None\\n await msg.channel.send(**{\\n 'content': 'Key change confirmed',\\n 'reference': msg.to_reference(),\\n 'mention_author': True,\\n })\",\n \"def test_confirm_invalid_action(self):\\n headers = self._get_oauth_header()\\n # using delete but it doesn't matter if it's delete or add\\n res = self.client.delete('/v1/flow_requests/p_11111/', **headers)\\n confirm_id = res.json()['confirm_id']\\n callback_url = 'http://127.0.0.1/'\\n\\n self.client.login(username='duck', password='duck')\\n res = self.client.get('/v1/flow_requests/confirm/?confirm_id={}&callback_url={}&action=NOT_VALID'.format(\\n confirm_id, callback_url))\\n\\n self.assertEqual(res.status_code, 400)\\n self.assertEqual(res.content.decode('utf-8'), ERRORS_MESSAGE['UNKNOWN_ACTION'])\",\n \"def confirm_reset(self):\\r\\n confirm = QMessageBox.question(self,\\r\\n self.confirmDBClearTitleString,\\r\\n self.confirmDBClearQuestionString,\\r\\n QMessageBox.Yes |\\r\\n QMessageBox.No,\\r\\n QMessageBox.No)\\r\\n\\r\\n if confirm == QMessageBox.Yes:\\r\\n self.reset()\",\n \"def confirm_email(self, request, email_address):\\n email_address.verified = True\\n email_address.set_as_primary(conditional=True)\\n email_address.save()\\n\\n u = get_user_model().objects.get(pk=email_address.user.id)\\n u.is_active = True\\n u.save()\",\n \"def confirmed(self, cr, uid, ids, context=None):\\n\\tallow_archive_line_obj = self.pool.get('services.contracts.allowances.lines')\\n for record in self.browse(cr, uid, ids, context=context):\\n\\t\\tif not record.allowances_lines_before :\\n \\traise osv.except_osv(_('Partner Lines !'), _('Sorry no partner Lines!'))\\n\\n\\t \\tlines_ids = [line.id for line in record.allowances_lines_after]\\n \\tallow_archive_line_obj.unlink(cr,uid,lines_ids,context=context)\\n\\n\\t\\tfor lines in record.allowances_lines_before:\\n\\t\\t\\tif lines.percentage_rating < 0 or lines.percentage_rating > 100 :\\n \\t\\traise osv.except_osv(_('Rate Error !'), _('Sorry you insert wrong rate ... rate is between (0,100)!'))\\n \\t\\tamount_after_rate_id = allow_archive_line_obj.create(cr, uid, {\\n \\t\\t\\t\\t'cost_of_rent':lines.cost_of_rent,\\n \\t\\t\\t\\t'amount_untaxed':round (lines.amount_untaxed*lines.percentage_rating/100,2),\\n \\t\\t\\t\\t'amount_tax':round(lines.amount_tax*lines.percentage_rating/100,2),\\n \\t\\t\\t\\t'amount_total':round(lines.amount_total*lines.percentage_rating/100,2),\\n \\t\\t\\t\\t'deduct_days':lines.deduct_days,\\n \\t\\t\\t\\t'deduct_amount':lines.deduct_amount,\\n \\t\\t\\t\\t'contract_id':lines.contract_id.id,\\n\\t\\t\\t\\t\\t'env_allow_id_after_rate':record.id,\\n\\t\\t\\t\\t\\t'type': 'after',\\n 'category_id':lines.category_id.id,\\n\\t\\t\\t\\t\\t'percentage_rating':lines.percentage_rating,\\n\\n })\\n\\t\\t\\n \\n self.write(cr, uid, ids, {'state':'confirmed'})\\n return True\",\n \"async def remove(message, client, extra_args):\\n\\n if await funnypts_transaction(message, client, extra_args, \\\"remove\\\"):\\n await message.channel.send(\\\"BRUH, THAT WAS CRINGE. SOMEONE JUST REVOKED YOUR FUNNYPOINT\\\")\",\n \"def alert_cancel(self):\\n self._alert_accept_cancel(False)\",\n \"async def _delete_data(self, ctx: Context):\\n\\n if ctx.guild is not None:\\n return await ctx.send(\\\"This command is available in DMs only.\\\")\\n\\n msg = await ctx.send(\\n \\\"Are you sure you want to delete all your data? It will reset\\\"\\n \\\" all your progress. **This action is irreversible.**\\\"\\n )\\n start_adding_reactions(msg, ReactionPredicate.YES_OR_NO_EMOJIS)\\n\\n pred = ReactionPredicate.yes_or_no(msg, ctx.author)\\n try:\\n await ctx.bot.wait_for(\\\"reaction_add\\\", check=pred)\\n except asyncio.TimeoutError:\\n return await ctx.send(\\\"You took too long to react. Data deletion cancelled.\\\")\\n\\n if pred.result is True:\\n await ctx.send(\\n \\\"Please reply to this message by sending `CONFIRM`,\\\"\\n \\\" without any formatting, to confirm data deletion.\\\"\\n )\\n\\n inner_pred = MessagePredicate.same_context(ctx)\\n\\n try:\\n await self.bot.wait_for(\\\"message\\\", check=inner_pred, timeout=30)\\n except asyncio.TimeoutError:\\n return await ctx.send(\\\"You took too long to respond. Data deletion cancelled.\\\")\\n\\n if inner_pred.content.strip() == \\\"CONFIRM\\\":\\n await self.config.user(ctx.author).clear()\\n else:\\n return await ctx.send(\\\"Cancelled data deletion.\\\")\\n\\n else:\\n return await ctx.send(\\\"Cancelled data deletion request.\\\")\\n\\n await ctx.send(\\n \\\"Data deletion request successful. All data associated with your account\\\"\\n \\\" will be deleted within 24 hours. Data is not recoverable anymore.\\\"\\n )\",\n \"def confirm_dispatch(self, update, context):\\n chat_id = update.effective_chat.id\\n response_code = update.callback_query[\\\"data\\\"] # caution_ok or caution_cancel\\n request_id = context.user_data[\\\"reviewed_request\\\"]\\n log.info(\\\"Confirm req:%s %s\\\", request_id, response_code)\\n\\n request_details = context.bot_data[request_id]\\n\\n if response_code == \\\"caution_ok\\\":\\n # They're in good health, let's go\\n\\n # send a location message, if this info is available in the request\\n if \\\"latitude\\\" in request_details:\\n self.updater.bot.send_location(\\n chat_id, request_details[\\\"latitude\\\"], request_details[\\\"longitude\\\"]\\n )\\n\\n # then send the rest of the details as text\\n message = c.MSG_FULL_DETAILS % request_details\\n\\n if \\\"remarks\\\" in request_details:\\n message += \\\"\\\\n\\\" + c.MSG_OTHER_REMARKS\\n for remark in request_details[\\\"remarks\\\"]:\\n message += \\\"- %s\\\\n\\\" % remark\\n\\n if \\\"hasDisabilities\\\" in request_details:\\n message += \\\"\\\\n%s\\\\n\\\" % (c.MSG_DISABILITY % request_details)\\n\\n message += \\\"\\\\n\\\" + c.MSG_LET_ME_KNOW\\n self.updater.bot.send_message(\\n chat_id=chat_id,\\n text=message,\\n parse_mode=ParseMode.MARKDOWN,\\n reply_markup=InlineKeyboardMarkup(k.handling_choices),\\n )\\n\\n else: # caution_cancel\\n # eventually they chose not to handle this request\\n # TODO ask them why, maybe they're sick and they need help? Discuss whether this is relevant\\n self.send_message(chat_id, c.MSG_NO_WORRIES_LATER)\\n context.user_data[\\\"reviewed_request\\\"] = None\\n context.user_data[\\\"state\\\"] = c.State.AVAILABLE\\n self.backend.update_request_status(request_id, \\\"CANCELLED\\\")\",\n \"def save(self, *args, **kwargs):\\n if not self.require_confirm_email:\\n User.objects.filter(is_active=False, deactivation_reason=\\\"pending\\\").update(\\n is_active=True, deactivation_reason=None\\n )\\n if not self.invite_question_text:\\n self.invite_question_text = \\\"What is your favourite book?\\\"\\n super().save(*args, **kwargs)\",\n \"def execute_civ_discard(index_to_discard: int, log: bool = True) -> None:\\n game_state.remove_single_tiles_from_player(\\n [index_to_discard],\\n game_state.get_auction_winning_player(),\\n log=log,\\n )\\n game_state.decrement_num_civs_to_discard()\\n mark_player_passed_if_no_disasters(game_state.get_auction_winning_player())\\n\\n # if no disasters to be resolved, resume play from after\\n # auction starter\\n if not game_state.disasters_must_be_resolved():\\n game_state.set_current_player(game_state.get_auction_start_player())\\n game_state.advance_current_player()\",\n \"def test_reactivation_for_unregistered_user(self, email_user):\\r\\n response_data = self.reactivation_email(self.unregisteredUser)\\r\\n\\r\\n self.assertFalse(response_data['success'])\",\n \"def test_discard_action(self):\\n self.plr.test_input = [\\\"discard silver\\\", \\\"finish selecting\\\"]\\n self.plr.play_card(self.card)\\n self.assertEqual(self.plr.piles[Piles.HAND].size(), 2)\\n self.assertEqual(self.plr.actions.get(), 2)\\n self.assertEqual(self.plr.buys.get(), 1)\\n self.assertNotIn(\\\"Silver\\\", self.plr.piles[Piles.HAND])\",\n \"async def team_unignore(self, ctx: commands.Context):\\n await self.config.user(ctx.author).do_not_message.set(False)\\n await ctx.send('Okay, I\\\\'ll include you back in team-wide DMs.')\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6619172","0.65421534","0.63608795","0.6252194","0.62353194","0.6222551","0.61789745","0.6149395","0.61379594","0.6117161","0.6086858","0.6077924","0.6073165","0.60582376","0.60207057","0.60002977","0.59929824","0.5937757","0.593176","0.59203535","0.5888317","0.58854973","0.5876241","0.58461815","0.5845953","0.58290064","0.5824021","0.5810428","0.5774078","0.5760513","0.5730184","0.5727028","0.5719213","0.5712494","0.569602","0.56713146","0.56707263","0.56659585","0.56418097","0.56418097","0.56418097","0.56418097","0.5628323","0.5627331","0.56135094","0.5564286","0.5553009","0.55511534","0.5538483","0.55264467","0.55264467","0.5493888","0.54898596","0.54897773","0.54896","0.54874194","0.5454041","0.5440779","0.54360706","0.5430588","0.542803","0.5422573","0.5410228","0.53916657","0.53900766","0.53846043","0.5377666","0.53740996","0.53653234","0.53620553","0.5361535","0.5348276","0.5344653","0.5344445","0.5343346","0.5341422","0.5331381","0.5326362","0.5326036","0.53223634","0.53167146","0.53077775","0.5305748","0.5305279","0.5304685","0.5291263","0.5289273","0.52815866","0.52719086","0.5262374","0.52619606","0.5261655","0.5256375","0.525084","0.5249647","0.5233938","0.5233146","0.5233142","0.52320886","0.52315813"],"string":"[\n \"0.6619172\",\n \"0.65421534\",\n \"0.63608795\",\n \"0.6252194\",\n \"0.62353194\",\n \"0.6222551\",\n \"0.61789745\",\n \"0.6149395\",\n \"0.61379594\",\n \"0.6117161\",\n \"0.6086858\",\n \"0.6077924\",\n \"0.6073165\",\n \"0.60582376\",\n \"0.60207057\",\n \"0.60002977\",\n \"0.59929824\",\n \"0.5937757\",\n \"0.593176\",\n \"0.59203535\",\n \"0.5888317\",\n \"0.58854973\",\n \"0.5876241\",\n \"0.58461815\",\n \"0.5845953\",\n \"0.58290064\",\n \"0.5824021\",\n \"0.5810428\",\n \"0.5774078\",\n \"0.5760513\",\n \"0.5730184\",\n \"0.5727028\",\n \"0.5719213\",\n \"0.5712494\",\n \"0.569602\",\n \"0.56713146\",\n \"0.56707263\",\n \"0.56659585\",\n \"0.56418097\",\n \"0.56418097\",\n \"0.56418097\",\n \"0.56418097\",\n \"0.5628323\",\n \"0.5627331\",\n \"0.56135094\",\n \"0.5564286\",\n \"0.5553009\",\n \"0.55511534\",\n \"0.5538483\",\n \"0.55264467\",\n \"0.55264467\",\n \"0.5493888\",\n \"0.54898596\",\n \"0.54897773\",\n \"0.54896\",\n \"0.54874194\",\n \"0.5454041\",\n \"0.5440779\",\n \"0.54360706\",\n \"0.5430588\",\n \"0.542803\",\n \"0.5422573\",\n \"0.5410228\",\n \"0.53916657\",\n \"0.53900766\",\n \"0.53846043\",\n \"0.5377666\",\n \"0.53740996\",\n \"0.53653234\",\n \"0.53620553\",\n \"0.5361535\",\n \"0.5348276\",\n \"0.5344653\",\n \"0.5344445\",\n \"0.5343346\",\n \"0.5341422\",\n \"0.5331381\",\n \"0.5326362\",\n \"0.5326036\",\n \"0.53223634\",\n \"0.53167146\",\n \"0.53077775\",\n \"0.5305748\",\n \"0.5305279\",\n \"0.5304685\",\n \"0.5291263\",\n \"0.5289273\",\n \"0.52815866\",\n \"0.52719086\",\n \"0.5262374\",\n \"0.52619606\",\n \"0.5261655\",\n \"0.5256375\",\n \"0.525084\",\n \"0.5249647\",\n \"0.5233938\",\n \"0.5233146\",\n \"0.5233142\",\n \"0.52320886\",\n \"0.52315813\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.72036105"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":4772,"cells":{"query":{"kind":"string","value":"print message where cards usually displayed until Ready button is clicked for next round."},"document":{"kind":"string","value":"def mesgBetweenRounds(self, message):\n font = UIC.Medium_Text\n y_offset = (UIC.Disp_Height * (1 - (UIC.Hand_Row_Fraction * 0.8)))\n for message_string in message:\n text_surface = font.render(message_string, True, UIC.Black)\n text_rect = text_surface.get_rect()\n text_rect.center = ((UIC.Disp_Width * 0.5), y_offset)\n y_offset = y_offset + UIC.Medium_Text_Feed\n self.display.blit(text_surface, text_rect)"},"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 progress_game(self):\r\n\r\n if self.actions == len(self.players):\r\n # Reveal the 3 first cards\r\n output_text = \"Dealing the flop...\"\r\n\r\n self.new_output.emit(output_text)\r\n self.community_cards.flop()\r\n\r\n if self.actions == 2 * len(self.players):\r\n # Reveal a 4th card\r\n output_text = \"Dealing the turn...\"\r\n\r\n self.new_output.emit(output_text)\r\n self.community_cards.turn()\r\n\r\n if self.actions == 3 * len(self.players):\r\n # Reveal a 5th card\r\n output_text = \"Dealing the river...\"\r\n\r\n self.new_output.emit(output_text)\r\n self.community_cards.river()\r\n\r\n if self.actions == 4 * len(self.players):\r\n self.showdown()","def display(self):\n\t\tprint('The button in the window was clicked!')","def printStartMsg(self):\n\n print(\"\\nSTARING THE GAME\")\n print(\"HAVE FUN!\\n\")","def display_message():","def printWaiting(self):\n\t\tfor wait in self.w:\n\t\t\tw_print=\"\"\n\t\t\tfor c in wait:\n\t\t\t\tif c:\n\t\t\t\t\tw_print += str(c[1])\n\t\t\t\telse:\n\t\t\t\t\tw_print += 'NO'\n\t\t\t\tw_print += \" \"\n\t\t\tprint w_print","def show_results(self):\r\n\r\n if self.player_cards > self.computer_cards: # player wins\r\n print('\\nCongratulations!!')\r\n print('You WIN by {0} / {1}'.format(self.player_cards, self.computer_cards))\r\n elif self.player_cards < self.computer_cards: # computer wins\r\n print('\\nToo bad!!')\r\n print('You LOST by {0} / {1}'.format(self.player_cards, self.computer_cards))\r\n else: # tied\r\n print('You TIED by {0} / {1}'.format(self.player_cards, self.computer_cards))","def _complete(self):\n self._last = self._touch\n if self._game.getWall().getBricks() == []:\n m = 'Congratulations!\\nYou Won\\n\\nClick to play again'\n f = 30\n h = GAME_HEIGHT*(2.0/3.0)\n self._playAgain()\n elif self._game.getPlayerLives() == 0:\n m = 'Game Over\\nClick to try again'\n f = 30\n h = GAME_HEIGHT*(2.0/3.0)-10\n self._playAgain()\n self._countdownTime = 0\n self._countdownMessage = GLabel(text='3', font_size=40,x=GAME_WIDTH / 2.0,\n y=GAME_HEIGHT*(2.0/3.0), halign='center',\n valign='middle', linecolor=colormodel.WHITE)\n self._pausedMessage = GLabel(text=m,font_size=f,x=GAME_WIDTH / 2.0,\n y=h, halign='center', valign='middle',\n linecolor=colormodel.WHITE)","def welcome_screen(self):\n print()\n print('P*O*K*E*R')\n print('Welcome to a 5-card poker game,\\n' +\n 'The goal is the get a better hand than the AI.')\n print('To do this you get one chance to swap cards' +\n 'that are in your hand')\n print('You swap like this:\\n' +\n '1. Choose how many cards you want to swap\\n' +\n '2. Write the number of the card(s) you want to swap, like this:\\n' +\n 'If you want to swap card 2, type in 2.\\n' +\n 'If you want to swap card 1 and 4, type 1,4')\n print('Next both your and AI hand is shown,\\n' +\n 'and the winner is declared.')\n print('For information on what hand beats what, \\n' +\n 'and what happens when both players have an equally good hand,\\n' +\n 'please follow the link below:\\n' +\n 'https://github.com/oljung/portfolio-project-three\\n' +\n 'NOTE! Ctrl + c will terminate the app, use right click to copy')\n message = 'Would you like to play a round? Y(es) or N(o): '\n answer = InputHandler.input_bool(message)\n if answer:\n self.run_game()","def print_status(self):\r\n\t\tif VERBOSE:\r\n\r\n\t\t\tprint( 'Player : ')\r\n\t\t\tfor h in self.hands:\r\n\t\t\t\tprint('\\t' + str(h))\r\n\t\t\tprint( 'Dealer:\\n\\t' + str(self.dealer))\r\n\t\t\tprint( '-----------------------')","def showMessage(self):","def present_status(self):\n output = ''\n if self.stats['hand']:\n output += 'Ready: \\n'\n for card in sorted(self.stats['hand'], key=itemgetter('name')):\n output += card_format(card) + '\\n'\n output += '\\n'\n if self.stats['active']:\n output += 'Active: \\n'\n for card in self.stats['active']:\n output += card_format(card) + '\\n'\n if self.stats['discard']:\n output += '\\nSpent: \\n'\n for card in self.stats['discard']:\n output += card_format(card) + '\\n'\n output += '\\n'\n output += 'Spells: \\n'\n for power in self.stats['powers']:\n output += '%s x %d\\n' % (power, self.stats['powers'][power])\n if self.stats['opponent']:\n output += '\\nCurrent Activity:\\n'\n output += '%s' % (card_format(self.stats['opponent']))\n header_print('Status')\n print(output)","def print_next_choices(self) -> None:\n print(f'Now you are in Room #{self._id}')\n print('You have the following choices:')\n for option in range(1, len(self._choices)):\n print(f'Option {option}:')\n self._choices[option].print_choice_msg()","def build_deck_screen_end_screen_warning_display(screen,buttons, screen_status, button_status, card_database_filter, user):\n if button_status.build_deck_screen_end_screen_warning_button_display == 'character card':\n button = Button('Missing A','' ,(122,33,38),1050, 0, 150, 30,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('Character Card!','' ,(122,33,38),1050, 30, 150, 30,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)\n\n elif button_status.build_deck_screen_end_screen_warning_button_display == '4 copy each':\n button = Button('No More Than 4','' ,(122,33,38),1050, 0, 150, 30,font_size = 15)\n button.update()\n button.draw(screen)\n\n button = Button('Copies For Each Card!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)","def display(self):\n for i in range(0, len(self.__drawn)):\n if self.__drawn[i]:\n print(str(i+1) + \". You drew a short straw!\")\n else:\n print(str(i+1) + \". You're okay.\")","def show_msg(self):\n if self.result and self.success_msg:\n print color_str('g', '\\n'.join(self.success_msg))\n elif self.result == False and self.fail_msg:\n print color_str('r', '\\n'.join(self.fail_msg))\n if self.stat_msg:\n print color_str('b', '\\n'.join(self.stat_msg))","def print_contents(self):\n try:\n # We only wait for 0.001 seconds.\n self.print_all_contents(indef_wait=False)\n except NotYourTurnError:\n # It's not our turn, so try again the next time this function is called.\n pass","def print_menu():\r\n print(\"==============================================\")\r\n print(\"What do you want to do now? \")\r\n print(\"==============================================\")\r\n print(\"Available options:\")\r\n i = 1\r\n for a in available_actions:\r\n if current_state in a[\"valid_states\"]:\r\n # Only hint about the action if the current state allows it\r\n print(\" %i) %s\" % (i, a[\"description\"]))\r\n i += 1\r\n print()","def show_game_mission():\n print_bold(\"任务:\")\n print(\"\\t选择李维可以休息的小屋...\")\n print_bold(\"TIP:\")\n print(\"保持警惕,周围有敌人!\")\n print_dotted_line()","def drawDescription(self):\n print(\"\\nPress the following keys to run the features of the GoPiGo3.\")\n print(\"To move the motors, make sure you have a fresh set of batteries powering the GoPiGo3.\\n\")","def showdown(self):\r\n\r\n poker_hands = []\r\n message = \"\"\r\n for player in self.players:\r\n poker_hands.append(player.hand.best_poker_hand(self.community_cards.cards))\r\n\r\n # Reveal all cards when the round is over\r\n player.reveal_cards()\r\n\r\n if poker_hands[0].type > poker_hands[1].type:\r\n message = \"Player {} won! \\nPoker hand >{}< won against >{}<\".format(\r\n self.players[0].name, str(poker_hands[0].type), str(poker_hands[1].type))\r\n self.players[0].credits += self.pot\r\n\r\n if poker_hands[0].type < poker_hands[1].type:\r\n message = \"Player {} won! \\nPoker hand >{}< won against >{}<\".format(\r\n self.players[1].name, str(poker_hands[1].type), str(poker_hands[0].type))\r\n self.players[1].credits += self.pot\r\n\r\n if poker_hands[0].type == poker_hands[1].type:\r\n if poker_hands[0].highest_values > poker_hands[1].highest_values:\r\n message = \"Player {} won! \\nHighest value >{}< won against >{}<\".format(\r\n self.players[0].name, str(poker_hands[0].highest_values), str(poker_hands[1].highest_values))\r\n self.players[0].credits += self.pot\r\n\r\n elif poker_hands[0].highest_values < poker_hands[1].highest_values:\r\n message = \"Player {} won! \\nHighest value >{}< won against >{}<\".format(\r\n self.players[1].name, str(poker_hands[1].highest_values), str(poker_hands[0].highest_values))\r\n self.players[1].credits += self.pot\r\n\r\n elif poker_hands[0].highest_values == poker_hands[1].highest_values:\r\n message = \"It is a draw! Both players had >{}< and highest value >{}<\".format(\r\n poker_hands[0].type.name, str(poker_hands[0].highest_values))\r\n\r\n for player in self.players:\r\n player.credits += (self.pot // len(self.players))\r\n else:\r\n self.game_message_warning.emit(\"Incorrect comparison of poker hands\")\r\n\r\n self.new_output.emit(message)\r\n self.game_message.emit(message)\r\n self.new_credits.emit()\r\n self.new_pot.emit()","def display_starting_message(): # opening message\n starting_message = \"Is your cat plotting to kill you?? \\nLet's find out. \\n(Please note that this is merely a pythonic presentation of an app created by The Oatmeal. \\nI do not claim credit for its brilliance. I'm just trying to learn Python.)\"\n print(starting_message)","def text_output(self):\n print(self.board)\n print()","def intro_instructions():\n print(\"The board will be updated after each move.\")\n print(\"Watch both the board and the python prompt after each move.\")\n print(\"Player 1 is white and player 2 is orange\")\n print(\"Green boxes are snakes and yellow boxes are ladders.\")\n print(\"If you hit any part of the snake(not just the head), you will slide down to the snakes tail\")\n print(\"If you hit any part of the ladder(not just the bottom), you will climb to the ladder's top\")\n print(\"May the luckiest player win\")","def next(self):\n print(f\" {colored('[', 'yellow')}{bold(self.progress[self.pos])}{colored(']', 'yellow')} \"\n f\"{bold('Processing, please wait...')}\",\n end=\"\\r\",\n flush=True\n )\n self.increment()","def print_intro(self):\n \n print('Did you know that birds hold the record for longest animal migrations?')","def lobby_screen_pick_deck_warning_button_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\n if button_status.lobby_screen_end_screen_warning_button_display == 'deck less than 40 cards':\n button = Button('You need at least 40','' ,(122,33,38),1050, 580, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('cards in your deck!','' ,(122,33,38),1050, 610, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 640, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 642, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)\n\n elif button_status.lobby_screen_end_screen_warning_button_display == 'no deck':\n button = Button('Please pick a deck','' ,(122,33,38),1050, 580, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('or build a new one!','' ,(122,33,38),1050, 610, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 640, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 642, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)","def set_info_text(self):\n if not self.vars[\"enabled\"].get():\n msg = \"{} disabled\".format(self.tabname.title())\n elif self.vars[\"enabled\"].get() and not self.vars[\"ready\"].get():\n msg = \"Waiting for {}...\".format(self.tabname)\n else:\n msg = \"Displaying {}\".format(self.tabname)\n logger.debug(msg)\n self.set_info(msg)","def display_message():\n\tprint(\"In this chapter we will be learning how to write functions\")","def prepare_screen_end_screen_warning_display(screen,buttons, screen_status, button_status, card_database_filter, user):\n if button_status.prepare_screen_end_screen_warning_button_display == 'deck less than 40 cards':\n button = Button('You need at least 40','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('cards in your deck!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)\n\n elif button_status.prepare_screen_end_screen_warning_button_display == 'no deck':\n button = Button('Please pick a deck','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('or build a new one!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)\n\n elif button_status.prepare_screen_end_screen_warning_button_display == 'no character':\n button = Button('Please pick a character','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('for your opponent!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)\n\n elif button_status.prepare_screen_end_screen_warning_button_display == 'no difficulty':\n button = Button('Please pick a difficulty','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('for your opponent!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\n button.update()\n button.draw(screen)\n\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\n button.update()\n button.draw(screen)\n\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\n button.update()\n button.draw(screen)","def print(self):\n if self.passed():\n self.print_passed()\n else:\n self.print_failed()","def _do_outputs(self):\n self._puzzle.display_revealed_puzzle()\n hint = self._puzzle.get_hint()\n self._console.write(hint)\n print(\"\")\n self._jumper.draw_jumper()\n print(\"\")\n\n # These ifs end the game\n if self._puzzle.is_solved():\n self._keep_playing = False\n self._puzzle.display_win_screen()\n \n if self._puzzle.incorrect_guesses >= 4:\n self._keep_playing = False\n self._puzzle.display_loss_screen()","def display_message():\n\tprint(\"Learnt to write functions, which are named blocks of code that are designed to do one specific job.\")","def display(self):\n while (True):\n self.print()\n choice = self.get_choice()\n if (choice == len(self.options)):\n break\n else:\n self.options[choice].function()","def display(self,message):\r\n \r\n print(message)","def sprint(self):\n self.buttons = []\n self.screen.blit(self.background_image, (0, 0))\n self.create_button((self.width // 2 - 257, self.height // 8 - 85), 501, 200, Colors.BLACK, \"20L\")\n self.create_button((self.width // 2 - 257, self.height // 8 * 3 - 81), 501, 200, Colors.BLACK, \"40L\")\n self.create_button((self.width // 2 - 257, self.height // 8 * 5 - 86), 501, 200, Colors.BLACK, \"100L\")\n self.create_button((self.width // 2 - 257, self.height // 8 * 7 - 85), 501, 200, Colors.BLACK, \"1000L\")\n self.show_buttons()\n self.show_text_in_buttons()\n pygame.display.flip()","def display_result(self) -> None:\n winner = self.state.winner\n if winner:\n self._display_message(winner + ' wins!')\n else:\n self._display_message('Draw')\n\n self._display_message(\n f'\\n{self.state.player1} has {self.state.player1_score} wins'\n )\n self._display_message(\n f'{self.state.player2} has {self.state.player2_score} wins\\n'\n )","def on_press(self):\n if self.book.is_completed:\n self.book.mark_required()\n else:\n self.book.mark_completed()\n self.set_color()\n self.text = str(self.book)\n self.top_label.set_label_text()\n text = 'You {} \\'{}\\'.{}'.format(\n 'completed' if self.book.is_completed else 'need to read',\n self.book.title,\n (' Great job!' if self.book.is_completed else ' Get started!') if self.book.is_long() else ''\n )\n self.warn_label.set_label_text(text)","def print_hand(self):\n if self.cheating:\n print(\"You're cheating!\")\n print(\"until you reroll it!\")\n print(\"\"\"\nYou rolled:\na = [ {} ]\nb = [ {} ]\n\nYou are in Stage {}\n \"\"\".format(self.die_a, self.die_b, self.stage))","def show_quest(self):\n for quest_line in self.qtext:\n print(quest_line)\n time.sleep(1)","def ready(self):\n self.stdout.write('READY\\n')\n self.stdout.flush()","def play():\n display_starting_message()\n print(\"\")\n print(\"*\"*10)\n for question_number, question in enumerate(list_of_questions):\n print(question)\n print(\"\")\n for responses in list_of_questions[question]:\n print(responses)\n pick_one = input(\"pick one: \")\n check_murder_sauce(question, pick_one)\n\n murder_sauce_result(murder_sauce)","def displayDiscarded(self):\n print(\"Discarded :\")\n if len(self.discarded) == 0:\n print(\"*no discard yet*\")\n else:\n for card in self.discarded:\n print(card.toString(), end=\" \")\n print()","def show_game_mission():\n print_bold(\"Misija:\")\n print(\"\\tOdaberi kućicu u kojoj se Talion može odmoriti ...\")\n print_bold(\"SAVJET:\")\n print(\"PAZI kako biraš jer neprijatelji su blizu!\")\n print_dotted_line()","def battle_screen_history_bar_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2):\n\n\n for number,text in button_status.battle_screen_history_bar_text_dict.items():\n if int(number) == 1:\n button_text = Button(text,'', (0,0,0),250, 0, 600, 30, font_size = 13, alpha = 100)\n button_text.update()\n button_text.draw(screen)\n else:\n pass\n\n button_details = Button('+','', (0,0,0),850, 0, 100, 30,font_size = 25, alpha = 100)\n button_details.update()\n button_details.draw(screen)\n\n if button_status.battle_screen_history_bar_detail_display == True:\n i = 0\n for number,text in button_status.battle_screen_history_bar_text_dict.items():\n\n if int(number) % 2 == 1 and text != '':\n if text == \"Game Started!\":\n button_odd = Button(text,'', (0,160,0),200, 30 + 30*(i), 800, 30, font_size = 13)\n button_odd.update()\n button_odd.draw(screen)\n i += 1\n elif text == \"Your turn has started\":\n button_odd = Button(text,'', (0,160,0),200, 30 + 30*(i), 800, 30, font_size = 13)\n button_odd.update()\n button_odd.draw(screen)\n i += 1\n elif text == \"Opponent's turn has started\":\n button_odd = Button(text,'', (160,0,0),200, 30 + 30*(i), 800, 30, font_size = 13)\n button_odd.update()\n button_odd.draw(screen)\n i += 1\n else:\n button_odd = Button(text,'', (160,160,160),200, 30 + 30*(i), 800, 30, font_size = 13)\n button_odd.update()\n button_odd.draw(screen)\n i += 1\n elif int(number) % 2 == 0 and text != '':\n if text == \"Game Started!\":\n button_even = Button(text,'', (0,160,0),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\n button_even.update()\n button_even.draw(screen)\n i += 1\n elif text == \"Your turn has started\":\n button_even = Button(text,'', (0,160,0),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\n button_even.update()\n button_even.draw(screen)\n i += 1\n elif text == \"Opponent's turn has started\":\n button_even = Button(text,'', (160,0,0),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\n button_even.update()\n button_even.draw(screen)\n i += 1\n else:\n button_even = Button(text,'', (130,130,130),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\n button_even.update()\n button_even.draw(screen)\n i += 1","def event_loop(self):\n if self.message_counter:\n if not self.msg:\n self.showdialog()\n else:\n self.msg.setText(\n \"COMET encounterd {} error(s)\".format(self.message_counter).ljust(\n 70\n )\n )","def instructions():\n\t\n\tprint \\\n\t\"\"\"\n\tToday we will play the perennial favorite game of...\n\tRock! Paper!! Scissors!!!.\n\tThe objective of the game is to outthink your opponent (in this case me) and defeat.\n\tThe rules are very simple\n\t1. Paper covers the Rock\n\t2. Rock breaks the Scissors\n\t3. Scissors cut the Paper\n\t\n\tChoose your move from the following:\n\t1. Paper (p)\n\t2. Rock (r)\n\t3. Scissors (s)\n\t\n\tAre you ready? Alright then, let's play...\n\t\"\"\"","def progress(self, msg):\n logging.info(\"UI-Test: \" + msg)\n with step(\"UI test progress: \" + msg):\n pass\n if len(self.state) > 0:\n self.state += \"\\n\"\n self.state += \"UI: \" + msg","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 welcome_banner():\n print('\\t*' * 10)\n print('\\t\\tWelcome!')\n print('\\tPut your knowledge to the test with this Ultimate Quiz Questions!')\n print('\\t*' * 10)\n print()","def game_over(self):\n if self.missed == 5:\n print(\"You Lost! Better Luck Next Time!\")\n else:\n print(\"You Won! Congratulations!\")\n self.print_full_phrase()","def battle_screen_character_1_button_display(screen,buttons, screen_status, button_status, card_database_filter, user):\n button_basic_info = Button('Lv: ' + user.character_card.level + ' HP: ' + user.character_card.health + ' Card #: ' + str(len(user.hand_list)),'', (0,0,0),1000, 0, 200, 30, alpha = 100)\n button_basic_info.update()\n button_basic_info.draw(screen)\n\n if ('stage-2-character-action-1' in screen_status.battle_screen_action_indicator\n and screen_status.battle_screen_player2_action_display_indicator == False):\n button_action_pointer = Button('>>','',(92,13,78),1000,132,50,23,alpha = 0)\n button_action_pointer.update()\n button_action_pointer.draw(screen)\n elif ('stage-2-character-action-2' in screen_status.battle_screen_action_indicator\n and screen_status.battle_screen_player2_action_display_indicator == False):\n button_action_pointer = Button('>>','',(92,13,78),1000,155,50,23, alpha = 0)\n button_action_pointer.update()\n button_action_pointer.draw(screen)\n elif ('stage-2-character-action-3' in screen_status.battle_screen_action_indicator\n and screen_status.battle_screen_player2_action_display_indicator == False):\n button_action_pointer = Button('>>','',(92,13,78),1000,178,50,23, alpha = 0)\n button_action_pointer.update()\n button_action_pointer.draw(screen)\n elif ('stage-2-other-action-' in screen_status.battle_screen_action_indicator\n and screen_status.battle_screen_player2_action_display_indicator == False\n and 'detail' not in screen_status.battle_screen_action_indicator):\n x = screen_status.battle_screen_action_indicator.replace('stage-2-other-action-','')\n button_action_pointer = Button('>>','',(92,13,78),1000,220+23*(int(x)/10-1),50,23, alpha = 0)\n button_action_pointer.update()\n button_action_pointer.draw(screen)","def print_status(self, state, auction_round):\n\n if state['bid_winner'] is None:\n self.log('No bidder on this round {}.\\n'.format(auction_round))\n else:\n self.log('Player {} won {} on this round {} with bid amount {}.\\n'.format(\n state['bid_winner'], state['bid_item'], auction_round, state['winning_bid']))\n\n self.log('Remaining time:')\n for idx in range(len(self.players)):\n if self.players[idx]['valid']:\n self.log('\\t{} has {} seconds remaining'\n .format(self.players[idx]['name'], self.players[idx]['remain_time']))\n\n self.log('Remaining wealth:')\n for idx in range(len(self.players)):\n if self.players[idx]['valid']:\n self.log('\\t{} has {} dollars remaining'.format(self.players[idx]['name'], self.players[idx]['wealth']))\n\n self.log('------------------------------------\\n')\n\n if state['finished']:\n self.log('Game over\\n{}\\n'.format(state['reason']))","def card_success(self): \n handles = self.driver.window_handles\n while len(handles) != 3:\n handles = self.driver.window_handles\n self.driver.switch_to_window(handles[2])\n WebDriverWait(self.driver, 20).until(EC.visibility_of_element_located((By.CSS_SELECTOR,'.success'))) \n self.driver.find_element_by_class_name(\"success\").click()\n self.driver.switch_to_window(handles[0])","def status(s):\n print('\\033[1m{0}\\033[0m'.format(s))\n time.sleep(2)","def print_intro(self):\n \n print('Did you know mammals tend to have the shortest migration routes because walking takes more energy than flying or swimming?')","def intro():\n os.system('cls')\n print(\"-------------------------\")\n print(\" MOON PHASE CALENDAR\")\n print(\"-------------------------\")","def showMessage(self, message):\r\n print message","def set_display_message(self, title=\"\", speaker=\"\"):\r\n if self.recording:\r\n self.talkInfoString.setText(\"RECORDING\\n\\nTime remaining:\")\r\n else:\r\n self.talkInfoString.setText(\"NEXT TALK\\nTitle: %s\\nSpeaker: %s\\n\\nTime until recording:\" % (title, speaker))","def __display_login_info(self):\n print(f'\\nYour card has been created\\n'\n f'Your card number:\\n'\n # f'{self.__card_display()}\\n' # uncomment this line and comment out line below for pretty display\n f'{self.card_number}\\n'\n f'Your card PIN:\\n'\n f'{self.__account_pin}\\n', )","def print_start_game():\n print(HANGMAN_ASCII_ART)\n print(MAX_TRIES)","def print_choice_msg(self) -> None:\n pass","def print_board(self):\n \n # How to show empty/p1/p2\n VALS = \".XO\"\n\n print(\"\\n a b c d e f g\")\n print(\" /--+-+-+-+-+-+--\\\\\")\n for r in range(_HEIGHT - 1, -1, -1):\n s = \"%s |\" % r\n for c in range(_WIDTH):\n # Print mark next to most recent move\n mark = \">\" if self.last_play_rc == (r, c) else \" \"\n s += mark + VALS[self.board[r * 7 + c]]\n print(s + \" |\")\n print(\" \\\\--+-+-+-+-+-+--/\")\n print(\" a b c d e f g\\n\")","def print_confirmation(action):\n\tprint(Fore.YELLOW + Style.BRIGHT + action + Style.RESET_ALL + \"\\n\")","def success(msg):\n click.secho(msg, fg='green')","def print_intro(player, board):\n print(f'\\n+++++++++++++++++++++++ DOCTOR WHO ADVENTURE: THE MISSING TARDIS +++++++++++++++++++++++\\n')\n print(f'\"Doctor, this doesn\\'t feel right,\" {player[\"Name\"][0]} said hesitantly, \"Are'\n f' you sure we should be here? \\nThe TARIDS really didn\\'t want to land just now.\"'\n f' \"The old girl is just being temperamental, {player[\"Name\"][0]}. \\nDon\\'t worry,\"'\n f' the DOCTOR said nonchalantly as he fiddled with the monitors at'\n f' the console. \\n\"The note sent to the psychic paper was from an old friend. '\n f'We are just going to pop by,\\nhelp him out, and be back in'\n f' time for tea at Space Florida!\" he continued \\nas he sauntered out the TARDIS.\\n')\n sleep(2)\n print(f'\"I thought we were going swimming at Poosh!\" {player[\"Name\"][0]} yelled as'\n f' they followed the DOCTOR out the door. \\nThe TARDIS doors slammed shut '\n f'behind {player[\"Name\"][0]}, and the unmistakable sound of the TARDIS \\n'\n f'dematerialising was heard. The DOCTOR and {player[\"Name\"][0]} could only stare'\n f' as the TARDIS disappeared from view.\\n')\n sleep(2)\n print(f'Before the DOCTOR could say anything, the two heard the unmistakable screams of \"EX-TER-MIN-ATE\" \\n'\n f'from down the hall. They quickly looked at each other, \"RUN!\"\\n')\n sleep(2)\n print(f'\"{player[\"Name\"][0]}, go find the TARDIS, she\\'ll protect you!\" the DOCTOR whispered quickly\\n'\n f'and ran off. \"DOCTOR! Wait!\" {player[\"Name\"][0]} angrily grumbled, \"Damn he runs fast.\"\\n'\n f'Hopefully they don\\'t run into any monster as they look for that blue police box.\\n')\n sleep(2)\n print(board[(0, 4)][\"Plot\"])","def Draw(self):\n print ( 10*\"*\")\n print (\"Player \" + self.character + \" says:\")\n print (\"It's a Draw\")\n print ( 10*\"*\")","def lobby_screen_pick_deck_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\n # Pick deck text\n button_text_1 = Button('Pick an exist deck or create a new one: ','', (250,250,250),400, 100, 400, 35, font_color = (0,0,0), alpha = 150)\n button_text_1.update()\n button_text_1.draw(screen)\n\n # Deck list buttons\n with open('user_deck_list_string.txt','r') as f:\n f.seek(0)\n if len(f.readlines()) >= 12:\n pass\n else:\n button_new_deck = Button('+ New Deck','', (250,250,250),1020, 110, 120, 35, font_color = (0,0,0), alpha = 150)\n button_new_deck.update()\n button_new_deck.draw(screen)\n\n\n f.seek(0)\n x = len(f.readlines())\n y = 0\n deck_list_index = 0\n\n for i in range(1,7):\n f.seek(0)\n for line in f:\n if 'DECK_LIST_' + str(i) not in line:\n y += 1\n if y < x: # DECK_LIST_i exist\n f.seek(0)\n for line in f:\n if 'DECK_LIST_' + str(i) in line:\n deck_length = len(make_card_list_from_string(line.replace('DECK_LIST_' + str(i) + ' = ', ''), ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2))\n # deck_length = int((len(line.replace('DECK_LIST_' + str(i) + ' = ', '')) -1)/14)\n if 'CHARACTER_' + str(i) in line:\n character_length = 1\n character_card = eval('card_' + line.replace('CHARACTER_' + str(i) + ' = ', '')[7:12])\n\n if user.deck_list_index == str(i):\n\n button_top = Button(character_card.name + ': ','', (100,30,130),85 + 180* (i-1), 165, 130, 60)\n button_top.update()\n button_top.draw(screen)\n\n if deck_length < 40:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50, font_color = (250,0,0))\n button_bottom.update()\n button_bottom.draw(screen)\n else:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50)\n button_bottom.update()\n button_bottom.draw(screen)\n\n else:\n\n button_top = Button(character_card.name + ': ','', (160,160,160),85 + 180* (i-1), 165, 130, 60, alpha = 240)\n button_top.update()\n button_top.draw(screen)\n\n if deck_length < 40:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, font_color = (200,0,0), alpha = 240)\n button_bottom.update()\n button_bottom.draw(screen)\n else:\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, alpha = 240)\n button_bottom.update()\n button_bottom.draw(screen)\n\n y = 0\n\n else: # DECK_LIST_i not exist\n\n button = Button('Empty','', (200,200,200),85 + 180* (i-1), 165, 130, 110, alpha = 80)\n button.update()\n button.draw(screen)\n\n y = 0\n\n\n for i in range(1,7):\n if user.deck_list_index == str(i):\n button_edit = Button('Edit','', (50,50,170),85 + 180* (i-1), 282, 60, 30)\n button_edit.update()\n button_edit.draw(screen)\n\n button_delete = Button('Delete','', (160,30,30), 155 + 180* (i-1), 282, 60, 30)\n button_delete.update()\n button_delete.draw(screen)","def battle_screen_my_hand_button_display(screen,buttons, screen_status, button_status, card_database_filter, user):\n if screen_status.battle_screen_action_indicator != 'stage-0':\n # Page forward button\n button1 = Button('>','', (0,0,0),1100, 660, 50, 50)\n # Edge cases when len() = 14,28,42 ...\n if len(user.hand_list) % 7 == 0 and len(user.hand_list) != 0:\n if screen_status.battle_screen_my_hand_page_id != ((len(user.hand_list))//7): # Make sure on the last page no foreward button shows up\n button1.update()\n button1.draw(screen)\n # Normal cases\n else:\n if screen_status.battle_screen_my_hand_page_id != ((len(user.hand_list))//7 + 1): # Make sure on the last page no foreward button shows up\n button1.update()\n button1.draw(screen)\n # Page backward button\n button2 = Button('<', '' ,(0,0,0),50, 660, 50, 50)\n if screen_status.battle_screen_my_hand_page_id != 1: # Make sure on the first page no backward button shows up\n button2.update()\n button2.draw(screen)\n #\n if button_status.battle_screen_my_hand_page_change_button_backend:\n buttons.extend((button1,button2))\n button_status.battle_screen_my_hand_page_change_button_backend = False\n if ((screen_status.battle_screen_action_indicator == 'stage-1-level-up'\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and 'detail' in screen_status.battle_screen_action_indicator)\n or 'stage-2-other-action-detail-spawn' in screen_status.battle_screen_action_indicator\n or 'stage-2-other-action-detail-think-fast' in screen_status.battle_screen_action_indicator\n or 'stage-2-other-action-detail-equip' in screen_status.battle_screen_action_indicator\n or 'stage-2-other-action-detail-sneak' in screen_status.battle_screen_action_indicator\n or 'stage-2-other-action-detail-tactic-1' in screen_status.battle_screen_action_indicator)\n and (screen_status.battle_screen_player2_action_display_indicator == False)):\n if button_status.battle_screen_my_hand_indicator_display == True:\n located_card = user.hand_list[7*(screen_status.battle_screen_my_hand_page_id - 1)+(int(button_status.battle_screen_my_hand_indicator_position)-1)]\n\n button_top = Button('','', (250,0,0),located_card.rect.x-5, located_card.rect.y - 5, 140, 5)\n button_top.update()\n button_top.draw(screen)\n\n button_bottom = Button('','', (250,0,0),located_card.rect.x-5, located_card.rect.y + 180, 140, 5)\n button_bottom.update()\n button_bottom.draw(screen)\n\n button_left = Button('','', (250,0,0),located_card.rect.x-5, located_card.rect.y, 5, 180)\n button_left.update()\n button_left.draw(screen)\n\n button_right = Button('','', (250,0,0),located_card.rect.x + 130, located_card.rect.y , 5, 180)\n button_right.update()\n button_right.draw(screen)\n # button_level_up = Button('***','battle_screen_handaction_****', (70,70,150),located_card.rect.x+10, located_card.rect.y - 27, 115, 27)\n # button_level_up.update()\n # button_level_up.draw(screen)","def show_greeting(self):\n self.output(' ------------------------ ')\n self.output('You are now playing ' + self.name)\n self.output(self.greeting)\n self.output(' ------------------------ ')","def lobby_screen_room_detail_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\n\n if button_status.lobby_screen_room_detail_display == 'none':\n\n if button_status.lobby_screen_room_list_display == 'N/A':\n button5 = Button('Create a game:','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\n button5.update()\n button5.draw(screen)\n\n button3 = Button('CREATE','', (40,40,120),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n else:\n button5 = Button('Please join the existing game!','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\n button5.update()\n button5.draw(screen)\n\n\n\n elif button_status.lobby_screen_room_detail_display == 'my':\n\n if button_status.lobby_screen_room_status == '1/2':\n button5 = Button(user.name + \"'s game:\" + ' 1/2','', (0,0,0),400, 580, 400, 50, font_size = 20,font_color = (200,100,100), alpha = 0)\n button5.update()\n button5.draw(screen)\n elif button_status.lobby_screen_room_status == '2/2':\n button5 = Button(user.name + \"'s game:\" + ' 2/2','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\n button5.update()\n button5.draw(screen)\n\n if button_status.lobby_screen_my_ready_to_go == False:\n button3 = Button(user.name,'', (200,200,110),205, 635, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_my_ready_to_go == True:\n button3 = Button(user.name,'', (110,200,110),205, 635, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n if button_status.lobby_screen_room_status == '1/2':\n button3 = Button('Empty','', (250,250,250),205, 680, 650, 35,alpha = 100)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_room_status == '2/2':\n if button_status.lobby_screen_other_ready_to_go == False:\n button3 = Button(player2.name,'', (200,200,110),205, 680, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_other_ready_to_go == True:\n button3 = Button(player2.name,'', (110,200,110),205, 680, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n if button_status.lobby_screen_prepare_to_go_display == False:\n if button_status.lobby_screen_room_status == '1/2':\n button3 = Button('NEXT','', (120,120,120),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_room_status == '2/2':\n button3 = Button('NEXT','', (40,120,40),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n else:\n if button_status.lobby_screen_my_ready_to_go == False:\n\n button3 = Button('READY!','', (40,120,40),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n elif button_status.lobby_screen_my_ready_to_go == True:\n if button_status.lobby_screen_other_ready_to_go == True:\n button3 = Button('PLAY!','', (247, 201, 37),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_other_ready_to_go == False:\n button3 = Button('WAIT!','', (40, 40, 120),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n\n button3 = Button('QUIT','', (120,40,40),920, 684, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n elif button_status.lobby_screen_room_detail_display == 'other':\n\n if button_status.lobby_screen_room_status == '1/2':\n button5 = Button(player2.name + \"'s game:\" + ' 1/2','', (0,0,0),400, 580, 400, 50, font_size = 20,font_color = (200,100,100), alpha = 0)\n button5.update()\n button5.draw(screen)\n elif button_status.lobby_screen_room_status == '2/2':\n button5 = Button(player2.name + \"'s game:\" + ' 2/2','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\n button5.update()\n button5.draw(screen)\n\n if button_status.lobby_screen_my_ready_to_go == False:\n button3 = Button(player2.name,'', (200,200,110),205, 635, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_my_ready_to_go == True:\n button3 = Button(player2.name,'', (110,200,110),205, 635, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n\n if button_status.lobby_screen_room_status == '1/2':\n button3 = Button('Empty','', (250,250,250),205, 680, 650, 35,alpha = 100)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_room_status == '2/2':\n\n if button_status.lobby_screen_other_ready_to_go == False:\n button3 = Button(user.name,'', (200,200,110),205, 680, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_other_ready_to_go == True:\n button3 = Button(user.name,'', (110,200,110),205, 680, 650, 35,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n if button_status.lobby_screen_prepare_to_go_display == True:\n if button_status.lobby_screen_other_ready_to_go == False:\n button3 = Button('READY!','', (40,120,40),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n elif button_status.lobby_screen_other_ready_to_go == True:\n button3 = Button('WAIT...','', (40,40,120),920, 607, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)\n\n button3 = Button('QUIT','', (120,40,40),920, 684, 100, 50,alpha = 240)\n button3.update()\n button3.draw(screen)","def battle_screen_battleground_button_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2):\n if ('stage-2-other-action-detail-tactic-1' in screen_status.battle_screen_action_indicator\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and '-detail-tactic-1' in screen_status.battle_screen_action_indicator)\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and 'easy-shot' in screen_status.battle_screen_action_indicator)\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and 'tricky-shot' in screen_status.battle_screen_action_indicator)\n or 'stage-3-monster-' in screen_status.battle_screen_action_indicator\n or 'stage-2-other-action-detail-easy-shot' in screen_status.battle_screen_action_indicator\n or 'stage-2-other-action-detail-tricky-shot' in screen_status.battle_screen_action_indicator\n ):\n if button_status.battle_screen_player1_battleground_indicator_display == True:\n if int(button_status.battle_screen_player1_battleground_indicator_position) <= 3:\n i = int(button_status.battle_screen_player1_battleground_indicator_position)\n monster_rect_x = 650\n monster_rect_y = 220 + 110*(i-1)\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\n button.update()\n button.draw(screen)\n elif int(button_status.battle_screen_player1_battleground_indicator_position) <= 6:\n i = int(button_status.battle_screen_player1_battleground_indicator_position)\n monster_rect_x = 825\n monster_rect_y = 220 + 110*(i-4)\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\n button.update()\n button.draw(screen)\n\n if button_status.battle_screen_player2_battleground_indicator_display == True:\n if int(button_status.battle_screen_player2_battleground_indicator_position) <= 3:\n i = int(button_status.battle_screen_player2_battleground_indicator_position)\n monster_rect_x = 420\n monster_rect_y = 220 + 110*(i-1)\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\n button.update()\n button.draw(screen)\n elif int(button_status.battle_screen_player2_battleground_indicator_position) <= 6:\n i = int(button_status.battle_screen_player2_battleground_indicator_position)\n monster_rect_x = 245\n monster_rect_y = 220 + 110*(i-4)\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\n button.update()\n button.draw(screen)","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 info(msg):\n click.secho(msg, fg='blue')","def print(self):\n for i in range(self.rows):\n print(\"--\" * self.cols + \"-\")\n for j in range(self.cols):\n cell = self.get_game_cell(i, j)\n if cell is None:\n print(f'({i} - {j}): failed')\n return None\n if cell.status == 'EMPTY':\n print(\"| \", end=\"\")\n else:\n print(f\"|{cell.status}\", end=\"\")\n print(\"|\")\n print(\"--\" * self.cols + \"-\")\n print(f\"Completed({self.completed}) - {self.winner}\")","def is_button_output_present(self):\n self.wait_for_element_presence('div#ready', 'Page is Ready')\n self.q(css='div#fixture button').first.click()\n self.wait_for_element_presence('div#output', 'Button Output is Available')","def show_messages(self):\n console.alert(\n \"Info\",\n \"If StaSh does not launch anymore after you changed the config, run the 'launch_stash.py' script with \\n'--no-cfgfile'.\",\n \"Ok\",\n hide_cancel_button=True,\n )\n while True:\n self.wait_modal()\n if not self.subview_open:\n break\n console.alert(\n \"Info\",\n \"Some changes may only be visible after restarting StaSh and/or Pythonista.\",\n \"Ok\",\n hide_cancel_button=True,\n )","def main():\r\n future_student = \"Future begins\"\r\n print_message(future_student)\r\n print_message(\"Dreams begin\")\r\n print_message(\"Aspirations begin\")","def print_banner(message):\n\n print(\"#############################################################################\")\n print(message)","def show_result():\n print(\"I win!!\")","def on_pushButton_clicked(self):\r\n # TODO: not implemented yet\r\n print 1","def print_hands(self):\n # Clear the terminal and reprint round header\n os.system(\"clear\")\n self.print_header\n\n # Only display one of the dealers cards if they are still playing\n if not self.round_winner:\n print()\n print(\"Dealer's Cards\")\n print(\"=\" * 25)\n print(\"UNKNOWN\")\n for card in self.dealer.cards:\n if card != self.dealer.cards[0]:\n print(f\"{card.game_value} of {card.suit}\")\n print(\"-\"*25)\n print(\"TOTAL = ?\")\n print()\n\n print(\"Player's Cards\")\n print(\"=\" * 25)\n for card in self.player.cards:\n print(f\"{card.game_value} of {card.suit}\")\n print(\"-\" * 25)\n print(\"TOTAL = \" + str(self.player.sum_cards()))\n print()\n\n # Display the players cards and all of the dealers cards\n elif self.round_winner:\n print()\n print(\"Dealer's Cards\")\n print(\"=\" * 25)\n for card in self.dealer.cards:\n print(f\"{card.game_value} of {card.suit}\")\n print(\"-\" * 25)\n print(\"TOTAL = \" + str(self.dealer.sum_cards()))\n print()\n\n print(\"Player's Cards\")\n print(\"=\" * 25)\n for card in self.player.cards:\n print(f\"{card.game_value} of {card.suit}\")\n print(\"-\" * 25)\n print(\"TOTAL = \" + str(self.player.sum_cards()))\n print()\n pass","def player_tie(self):\r\n\r\n self.summary = (\" \"* 78) + \"TIE. TRY AGAIN\"\r\n print(\"Match ends in a draw.\\n\")","def continue_command(self):\n cycles_cont = self.on_spin_cont(wx.SpinCtrl)\n global global_cycles_completed\n # check that this function has been called on pressing continue button\n text = \"\".join(\n [_(u\"continue_command function has been called, number of cycles is: \"), str(cycles_cont)])\n if self.state == 0:\n self.canvas_2d.render(text, True)\n else:\n self.canvas_3d.render()\n if cycles_cont is not None: # if the number of cycles provided is valid\n if global_cycles_completed == 0:\n print(_(u\"Error! Nothing to continue. Run first.\"))\n elif self.run_network(cycles_cont):\n global_cycles_completed += cycles_cont\n print(\" \".join([_(u\"Continuing for\"), str(cycles_cont), _(u\"cycles.\"), _(u\"Total:\"), str(\n global_cycles_completed)]))","def inform_players(list_of_players):\n for player in list_of_players:\n player.show_cards_beginning()\n input(\"Press enter to pass your turn\")\n print()","def principle(self):\n self.main_window.message(\n bg=\"navy\", fg=\"ivory\", width=400, font=\"Helvetica 10 bold\",\n text=\"The pieces in this game each have one white and one black\"\n \" side. When you click on a piece, all 8 adjacent pieces turn\"\n \" over.\\nThe game consists of trying to turn them all over.\\n\"\n \"\\nIf the exercise is very easy with a 2 x 2 grid, it becomes\"\n \" more difficult with larger grids. It is even impossible with\"\n \" some grids.\\nIt's up to you to find out which ones!\\n\"\n \" Reference: 'Pour la Science' magazine\")","def display_turn_text(self):\n if self.turn_display_timer > 0:\n self.turn_display_timer -= 1\n if self.turn_display_timer > 0:\n fill(1, 0, 0)\n textSize(self.WINDOW_SIZE//20)\n textAlign(CENTER)\n if self.player_turn is True:\n game_turn_text = \"Player Turn\"\n text(game_turn_text, self.WINDOW_SIZE/2, self.TEXT_OFFSET)\n elif self.player_turn is False:\n game_turn_text = \"OthelloAI Turn\"\n text(game_turn_text, self.WINDOW_SIZE/2, self.TEXT_OFFSET)","def print_instructions(self):\n\t\tprint('\\n\\n==========================================================================')\n\t\tprint('==========================================================================\\n')\n\t\tprint('Welcome to Tic Tac Toe, the came you know and love. \\nThe rules are the same ones you know and love. \\nTo make a move just type the coordinates of the spot like so - row,column. \\nNo spaces please! Lets go ahead and start! Here is a picuter of the board with some coordinates just in case!\\n')\n\t\tprint('=====================')\n\t\tprint('|| 0,0 | 0,1 | 0,2 ||')\n\t\tprint(' -----------------')\n\t\tprint('|| 1,0 | 1,1 | 1,2 ||')\n\t\tprint(' -----------------')\n\t\tprint('|| 2,0 | 2,1 | 2,2 ||')\n\t\tprint('=====================')\n\t\tprint('\\n==========================================================================')\n\t\tprint('==========================================================================\\n\\n')","def wait_for_button(self, button, message=True):\n if message:\n rospy.loginfo(\"Waiting for xbox button: \" + button)\n \n wait_for(lambda: not self.get_button(button) == 0)","def print_fight_status():\n printmessage(\"You're fighting with a %s\" % ITEMS[0], 3, RED, 0)\n printmessage(\"You feel like you're %s\" % get_strength_text(STRENGTHVAL), 4, GREEN, 0)\n printmessage(\"The bear looks like he is %s\" % get_strength_text(BEARSTRENGTHVAL), 5, MAGENTA, 0)\n printmessage(\"Your food supply is %s\" % get_hunger_text(HUNGERVAL), 6, YELLOW, 0)","def event_m20_11_x81():\n \"\"\"State 0,1: Prayer action\"\"\"\n PlayerActionRequest(6)\n assert (GetStateTime() > 4) != 0\n \"\"\"State 2: Dialog display: Nothing happened\"\"\"\n # action:1113:\"Alas, nothing happened\"\n DisplayOwnOkMenu(1113, 10, 0, 190, 0, 0, 0)\n \"\"\"State 3: End of prayer action\"\"\"\n EndPlayerActionRequest()\n \"\"\"State 4: End state\"\"\"\n return 0","def play(self):\n print(\"Bientôt ! :)\")","def printInstructions(self):\n print(\"\"\"•\tAim of the Game is to be the first to lose all of your chips\n•\tPlayers are put in order of the lowest to \nhighest based on their first roll\n(This is done automatically when you enter your name)\n• You start out with 5 chips.\n• When it is your turn you roll the die.\n\\t•\tIf the space with the same number as the die is empty (value of 0),\n\\t\\tput a chip there.\n\\t•\tbut if there already is a chip there (value of 1), you must take it.\n\\t•\tIf you roll a 6, you always put one of your chips on the space number 6 – \n\\t\\tregardless of how many chips are there already. \n\\t\\tChips on space number 6 are out of the game,\n\\t\\tand you never pick these up again.\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","def print_success_msg(msg):\n click.secho(msg, fg='green', file=sys.stdout)","def outro():\n print('Tento remake vytvoril mirek sko súčasť svojich školení v rokoch 2022-2023.')\n print('Originálnu hru vytvoril v roku 1986 František Fuka aka Fuxoft.')\n print('See you soon.')","def test_ProstateReporting1(self):\n\n self.delayDisplay(\"Starting the test\")\n\n self.delayDisplay('Test passed!')","def build_deck_screen_stable_button_display(screen, buttons,screen_status,button_status):\n # button1 = Button('Back','build_deck_screen', (0,0,0),0, 0, 50, 50)\n # button1.update()\n # button1.draw(screen)\n button2 = Button('Save','build_deck_screen', (250,250,250),1150, 0, 50, 50, font_color = (0,0,0), alpha = 150)\n button2.update()\n button2.draw(screen)\n button3 = Button('Build your deck by picking 40 cards below: ', 'build_deck_screen', (250,250,250),300, 0, 600, 50, font_color = (0,0,0), alpha = 150)\n button3.update()\n button3.draw(screen)\n if button_status.build_deck_screen_stable_button_backend:\n buttons.extend((button2, button3))\n button_status.build_deck_screen_stable_button_backend = False","def printStatus(self,mod=\"\"):\n dims = \"\"\n corner_labels = {\"back_right\":\"br\",\"back_left\":\"bl\",\"front_right\":\"fr\",\\\n \"front_left\":\"fl\"}\n for x in self.four_corners:\n dims += \"{}({},{}), \".format(corner_labels[x],self.four_corners[x][0],\\\n self.four_corners[x][1])\n print(\"{}{}\\tLEN: {}\\tLANES: ({},{})\".format(mod,\\\n self.label,round(self.length,2), self.top_up_lane.label,\\\n self.bottom_down_lane.label))\n print(\"{}{}\\t{}\\n\".format(mod,self.label,dims))","def check_ready(self):\r\n print \"Checking ready\"\r\n\t\tif self.game.trough.is_full():\r\n print \"Ready\"\r\n\t\t\tself.ready()\r\n\t\t\treturn True\r\n\t\tprint \"Not Ready\"\r\n\t\treturn False","def prompt_player(self):\n board = self.draw_board()\n print board\n self.player_moves(self.board_values)","async def print_processor(self) -> None:\n try:\n while True:\n while self.print_queue.empty() is not True:\n stub = await self.print_queue.get()\n if isinstance(stub, str):\n print(stub)\n elif isinstance(stub, tuple):\n if stub[0] == \"error\":\n print(f\"{r}{stub[1]}{reset}\")\n elif stub[0] == \"warning\":\n print(f\"{y}{stub[1]}{reset}\")\n elif stub[0] == \"success\":\n print(f\"{g}{stub[1]}{reset}\")\n elif stub[0] == \"bold\":\n print(f\"{bold}{stub[1]}{reset}\")\n else:\n print(f\"{stub[1]}\")\n self.print_queue.task_done()\n await asyncio.sleep(0.002)\n except asyncio.CancelledError:\n print('Closing the RedCisco application... Cleaning up running tasks...\\n')"],"string":"[\n \"def progress_game(self):\\r\\n\\r\\n if self.actions == len(self.players):\\r\\n # Reveal the 3 first cards\\r\\n output_text = \\\"Dealing the flop...\\\"\\r\\n\\r\\n self.new_output.emit(output_text)\\r\\n self.community_cards.flop()\\r\\n\\r\\n if self.actions == 2 * len(self.players):\\r\\n # Reveal a 4th card\\r\\n output_text = \\\"Dealing the turn...\\\"\\r\\n\\r\\n self.new_output.emit(output_text)\\r\\n self.community_cards.turn()\\r\\n\\r\\n if self.actions == 3 * len(self.players):\\r\\n # Reveal a 5th card\\r\\n output_text = \\\"Dealing the river...\\\"\\r\\n\\r\\n self.new_output.emit(output_text)\\r\\n self.community_cards.river()\\r\\n\\r\\n if self.actions == 4 * len(self.players):\\r\\n self.showdown()\",\n \"def display(self):\\n\\t\\tprint('The button in the window was clicked!')\",\n \"def printStartMsg(self):\\n\\n print(\\\"\\\\nSTARING THE GAME\\\")\\n print(\\\"HAVE FUN!\\\\n\\\")\",\n \"def display_message():\",\n \"def printWaiting(self):\\n\\t\\tfor wait in self.w:\\n\\t\\t\\tw_print=\\\"\\\"\\n\\t\\t\\tfor c in wait:\\n\\t\\t\\t\\tif c:\\n\\t\\t\\t\\t\\tw_print += str(c[1])\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\tw_print += 'NO'\\n\\t\\t\\t\\tw_print += \\\" \\\"\\n\\t\\t\\tprint w_print\",\n \"def show_results(self):\\r\\n\\r\\n if self.player_cards > self.computer_cards: # player wins\\r\\n print('\\\\nCongratulations!!')\\r\\n print('You WIN by {0} / {1}'.format(self.player_cards, self.computer_cards))\\r\\n elif self.player_cards < self.computer_cards: # computer wins\\r\\n print('\\\\nToo bad!!')\\r\\n print('You LOST by {0} / {1}'.format(self.player_cards, self.computer_cards))\\r\\n else: # tied\\r\\n print('You TIED by {0} / {1}'.format(self.player_cards, self.computer_cards))\",\n \"def _complete(self):\\n self._last = self._touch\\n if self._game.getWall().getBricks() == []:\\n m = 'Congratulations!\\\\nYou Won\\\\n\\\\nClick to play again'\\n f = 30\\n h = GAME_HEIGHT*(2.0/3.0)\\n self._playAgain()\\n elif self._game.getPlayerLives() == 0:\\n m = 'Game Over\\\\nClick to try again'\\n f = 30\\n h = GAME_HEIGHT*(2.0/3.0)-10\\n self._playAgain()\\n self._countdownTime = 0\\n self._countdownMessage = GLabel(text='3', font_size=40,x=GAME_WIDTH / 2.0,\\n y=GAME_HEIGHT*(2.0/3.0), halign='center',\\n valign='middle', linecolor=colormodel.WHITE)\\n self._pausedMessage = GLabel(text=m,font_size=f,x=GAME_WIDTH / 2.0,\\n y=h, halign='center', valign='middle',\\n linecolor=colormodel.WHITE)\",\n \"def welcome_screen(self):\\n print()\\n print('P*O*K*E*R')\\n print('Welcome to a 5-card poker game,\\\\n' +\\n 'The goal is the get a better hand than the AI.')\\n print('To do this you get one chance to swap cards' +\\n 'that are in your hand')\\n print('You swap like this:\\\\n' +\\n '1. Choose how many cards you want to swap\\\\n' +\\n '2. Write the number of the card(s) you want to swap, like this:\\\\n' +\\n 'If you want to swap card 2, type in 2.\\\\n' +\\n 'If you want to swap card 1 and 4, type 1,4')\\n print('Next both your and AI hand is shown,\\\\n' +\\n 'and the winner is declared.')\\n print('For information on what hand beats what, \\\\n' +\\n 'and what happens when both players have an equally good hand,\\\\n' +\\n 'please follow the link below:\\\\n' +\\n 'https://github.com/oljung/portfolio-project-three\\\\n' +\\n 'NOTE! Ctrl + c will terminate the app, use right click to copy')\\n message = 'Would you like to play a round? Y(es) or N(o): '\\n answer = InputHandler.input_bool(message)\\n if answer:\\n self.run_game()\",\n \"def print_status(self):\\r\\n\\t\\tif VERBOSE:\\r\\n\\r\\n\\t\\t\\tprint( 'Player : ')\\r\\n\\t\\t\\tfor h in self.hands:\\r\\n\\t\\t\\t\\tprint('\\\\t' + str(h))\\r\\n\\t\\t\\tprint( 'Dealer:\\\\n\\\\t' + str(self.dealer))\\r\\n\\t\\t\\tprint( '-----------------------')\",\n \"def showMessage(self):\",\n \"def present_status(self):\\n output = ''\\n if self.stats['hand']:\\n output += 'Ready: \\\\n'\\n for card in sorted(self.stats['hand'], key=itemgetter('name')):\\n output += card_format(card) + '\\\\n'\\n output += '\\\\n'\\n if self.stats['active']:\\n output += 'Active: \\\\n'\\n for card in self.stats['active']:\\n output += card_format(card) + '\\\\n'\\n if self.stats['discard']:\\n output += '\\\\nSpent: \\\\n'\\n for card in self.stats['discard']:\\n output += card_format(card) + '\\\\n'\\n output += '\\\\n'\\n output += 'Spells: \\\\n'\\n for power in self.stats['powers']:\\n output += '%s x %d\\\\n' % (power, self.stats['powers'][power])\\n if self.stats['opponent']:\\n output += '\\\\nCurrent Activity:\\\\n'\\n output += '%s' % (card_format(self.stats['opponent']))\\n header_print('Status')\\n print(output)\",\n \"def print_next_choices(self) -> None:\\n print(f'Now you are in Room #{self._id}')\\n print('You have the following choices:')\\n for option in range(1, len(self._choices)):\\n print(f'Option {option}:')\\n self._choices[option].print_choice_msg()\",\n \"def build_deck_screen_end_screen_warning_display(screen,buttons, screen_status, button_status, card_database_filter, user):\\n if button_status.build_deck_screen_end_screen_warning_button_display == 'character card':\\n button = Button('Missing A','' ,(122,33,38),1050, 0, 150, 30,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('Character Card!','' ,(122,33,38),1050, 30, 150, 30,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\\n\\n elif button_status.build_deck_screen_end_screen_warning_button_display == '4 copy each':\\n button = Button('No More Than 4','' ,(122,33,38),1050, 0, 150, 30,font_size = 15)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('Copies For Each Card!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\",\n \"def display(self):\\n for i in range(0, len(self.__drawn)):\\n if self.__drawn[i]:\\n print(str(i+1) + \\\". You drew a short straw!\\\")\\n else:\\n print(str(i+1) + \\\". You're okay.\\\")\",\n \"def show_msg(self):\\n if self.result and self.success_msg:\\n print color_str('g', '\\\\n'.join(self.success_msg))\\n elif self.result == False and self.fail_msg:\\n print color_str('r', '\\\\n'.join(self.fail_msg))\\n if self.stat_msg:\\n print color_str('b', '\\\\n'.join(self.stat_msg))\",\n \"def print_contents(self):\\n try:\\n # We only wait for 0.001 seconds.\\n self.print_all_contents(indef_wait=False)\\n except NotYourTurnError:\\n # It's not our turn, so try again the next time this function is called.\\n pass\",\n \"def print_menu():\\r\\n print(\\\"==============================================\\\")\\r\\n print(\\\"What do you want to do now? \\\")\\r\\n print(\\\"==============================================\\\")\\r\\n print(\\\"Available options:\\\")\\r\\n i = 1\\r\\n for a in available_actions:\\r\\n if current_state in a[\\\"valid_states\\\"]:\\r\\n # Only hint about the action if the current state allows it\\r\\n print(\\\" %i) %s\\\" % (i, a[\\\"description\\\"]))\\r\\n i += 1\\r\\n print()\",\n \"def show_game_mission():\\n print_bold(\\\"任务:\\\")\\n print(\\\"\\\\t选择李维可以休息的小屋...\\\")\\n print_bold(\\\"TIP:\\\")\\n print(\\\"保持警惕,周围有敌人!\\\")\\n print_dotted_line()\",\n \"def drawDescription(self):\\n print(\\\"\\\\nPress the following keys to run the features of the GoPiGo3.\\\")\\n print(\\\"To move the motors, make sure you have a fresh set of batteries powering the GoPiGo3.\\\\n\\\")\",\n \"def showdown(self):\\r\\n\\r\\n poker_hands = []\\r\\n message = \\\"\\\"\\r\\n for player in self.players:\\r\\n poker_hands.append(player.hand.best_poker_hand(self.community_cards.cards))\\r\\n\\r\\n # Reveal all cards when the round is over\\r\\n player.reveal_cards()\\r\\n\\r\\n if poker_hands[0].type > poker_hands[1].type:\\r\\n message = \\\"Player {} won! \\\\nPoker hand >{}< won against >{}<\\\".format(\\r\\n self.players[0].name, str(poker_hands[0].type), str(poker_hands[1].type))\\r\\n self.players[0].credits += self.pot\\r\\n\\r\\n if poker_hands[0].type < poker_hands[1].type:\\r\\n message = \\\"Player {} won! \\\\nPoker hand >{}< won against >{}<\\\".format(\\r\\n self.players[1].name, str(poker_hands[1].type), str(poker_hands[0].type))\\r\\n self.players[1].credits += self.pot\\r\\n\\r\\n if poker_hands[0].type == poker_hands[1].type:\\r\\n if poker_hands[0].highest_values > poker_hands[1].highest_values:\\r\\n message = \\\"Player {} won! \\\\nHighest value >{}< won against >{}<\\\".format(\\r\\n self.players[0].name, str(poker_hands[0].highest_values), str(poker_hands[1].highest_values))\\r\\n self.players[0].credits += self.pot\\r\\n\\r\\n elif poker_hands[0].highest_values < poker_hands[1].highest_values:\\r\\n message = \\\"Player {} won! \\\\nHighest value >{}< won against >{}<\\\".format(\\r\\n self.players[1].name, str(poker_hands[1].highest_values), str(poker_hands[0].highest_values))\\r\\n self.players[1].credits += self.pot\\r\\n\\r\\n elif poker_hands[0].highest_values == poker_hands[1].highest_values:\\r\\n message = \\\"It is a draw! Both players had >{}< and highest value >{}<\\\".format(\\r\\n poker_hands[0].type.name, str(poker_hands[0].highest_values))\\r\\n\\r\\n for player in self.players:\\r\\n player.credits += (self.pot // len(self.players))\\r\\n else:\\r\\n self.game_message_warning.emit(\\\"Incorrect comparison of poker hands\\\")\\r\\n\\r\\n self.new_output.emit(message)\\r\\n self.game_message.emit(message)\\r\\n self.new_credits.emit()\\r\\n self.new_pot.emit()\",\n \"def display_starting_message(): # opening message\\n starting_message = \\\"Is your cat plotting to kill you?? \\\\nLet's find out. \\\\n(Please note that this is merely a pythonic presentation of an app created by The Oatmeal. \\\\nI do not claim credit for its brilliance. I'm just trying to learn Python.)\\\"\\n print(starting_message)\",\n \"def text_output(self):\\n print(self.board)\\n print()\",\n \"def intro_instructions():\\n print(\\\"The board will be updated after each move.\\\")\\n print(\\\"Watch both the board and the python prompt after each move.\\\")\\n print(\\\"Player 1 is white and player 2 is orange\\\")\\n print(\\\"Green boxes are snakes and yellow boxes are ladders.\\\")\\n print(\\\"If you hit any part of the snake(not just the head), you will slide down to the snakes tail\\\")\\n print(\\\"If you hit any part of the ladder(not just the bottom), you will climb to the ladder's top\\\")\\n print(\\\"May the luckiest player win\\\")\",\n \"def next(self):\\n print(f\\\" {colored('[', 'yellow')}{bold(self.progress[self.pos])}{colored(']', 'yellow')} \\\"\\n f\\\"{bold('Processing, please wait...')}\\\",\\n end=\\\"\\\\r\\\",\\n flush=True\\n )\\n self.increment()\",\n \"def print_intro(self):\\n \\n print('Did you know that birds hold the record for longest animal migrations?')\",\n \"def lobby_screen_pick_deck_warning_button_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\\n if button_status.lobby_screen_end_screen_warning_button_display == 'deck less than 40 cards':\\n button = Button('You need at least 40','' ,(122,33,38),1050, 580, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('cards in your deck!','' ,(122,33,38),1050, 610, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 640, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 642, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\\n\\n elif button_status.lobby_screen_end_screen_warning_button_display == 'no deck':\\n button = Button('Please pick a deck','' ,(122,33,38),1050, 580, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('or build a new one!','' ,(122,33,38),1050, 610, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 640, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 642, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\",\n \"def set_info_text(self):\\n if not self.vars[\\\"enabled\\\"].get():\\n msg = \\\"{} disabled\\\".format(self.tabname.title())\\n elif self.vars[\\\"enabled\\\"].get() and not self.vars[\\\"ready\\\"].get():\\n msg = \\\"Waiting for {}...\\\".format(self.tabname)\\n else:\\n msg = \\\"Displaying {}\\\".format(self.tabname)\\n logger.debug(msg)\\n self.set_info(msg)\",\n \"def display_message():\\n\\tprint(\\\"In this chapter we will be learning how to write functions\\\")\",\n \"def prepare_screen_end_screen_warning_display(screen,buttons, screen_status, button_status, card_database_filter, user):\\n if button_status.prepare_screen_end_screen_warning_button_display == 'deck less than 40 cards':\\n button = Button('You need at least 40','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('cards in your deck!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\\n\\n elif button_status.prepare_screen_end_screen_warning_button_display == 'no deck':\\n button = Button('Please pick a deck','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('or build a new one!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\\n\\n elif button_status.prepare_screen_end_screen_warning_button_display == 'no character':\\n button = Button('Please pick a character','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('for your opponent!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\\n\\n elif button_status.prepare_screen_end_screen_warning_button_display == 'no difficulty':\\n button = Button('Please pick a difficulty','' ,(122,33,38),1050, 0, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('for your opponent!','' ,(122,33,38),1050, 30, 150, 30,font_size = 13)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('','' ,(122,33,38),1050, 60, 150, 40,font_size = 18)\\n button.update()\\n button.draw(screen)\\n\\n button = Button('ok','' ,(22,143,78),1100, 62, 40, 30,font_size = 16)\\n button.update()\\n button.draw(screen)\",\n \"def print(self):\\n if self.passed():\\n self.print_passed()\\n else:\\n self.print_failed()\",\n \"def _do_outputs(self):\\n self._puzzle.display_revealed_puzzle()\\n hint = self._puzzle.get_hint()\\n self._console.write(hint)\\n print(\\\"\\\")\\n self._jumper.draw_jumper()\\n print(\\\"\\\")\\n\\n # These ifs end the game\\n if self._puzzle.is_solved():\\n self._keep_playing = False\\n self._puzzle.display_win_screen()\\n \\n if self._puzzle.incorrect_guesses >= 4:\\n self._keep_playing = False\\n self._puzzle.display_loss_screen()\",\n \"def display_message():\\n\\tprint(\\\"Learnt to write functions, which are named blocks of code that are designed to do one specific job.\\\")\",\n \"def display(self):\\n while (True):\\n self.print()\\n choice = self.get_choice()\\n if (choice == len(self.options)):\\n break\\n else:\\n self.options[choice].function()\",\n \"def display(self,message):\\r\\n \\r\\n print(message)\",\n \"def sprint(self):\\n self.buttons = []\\n self.screen.blit(self.background_image, (0, 0))\\n self.create_button((self.width // 2 - 257, self.height // 8 - 85), 501, 200, Colors.BLACK, \\\"20L\\\")\\n self.create_button((self.width // 2 - 257, self.height // 8 * 3 - 81), 501, 200, Colors.BLACK, \\\"40L\\\")\\n self.create_button((self.width // 2 - 257, self.height // 8 * 5 - 86), 501, 200, Colors.BLACK, \\\"100L\\\")\\n self.create_button((self.width // 2 - 257, self.height // 8 * 7 - 85), 501, 200, Colors.BLACK, \\\"1000L\\\")\\n self.show_buttons()\\n self.show_text_in_buttons()\\n pygame.display.flip()\",\n \"def display_result(self) -> None:\\n winner = self.state.winner\\n if winner:\\n self._display_message(winner + ' wins!')\\n else:\\n self._display_message('Draw')\\n\\n self._display_message(\\n f'\\\\n{self.state.player1} has {self.state.player1_score} wins'\\n )\\n self._display_message(\\n f'{self.state.player2} has {self.state.player2_score} wins\\\\n'\\n )\",\n \"def on_press(self):\\n if self.book.is_completed:\\n self.book.mark_required()\\n else:\\n self.book.mark_completed()\\n self.set_color()\\n self.text = str(self.book)\\n self.top_label.set_label_text()\\n text = 'You {} \\\\'{}\\\\'.{}'.format(\\n 'completed' if self.book.is_completed else 'need to read',\\n self.book.title,\\n (' Great job!' if self.book.is_completed else ' Get started!') if self.book.is_long() else ''\\n )\\n self.warn_label.set_label_text(text)\",\n \"def print_hand(self):\\n if self.cheating:\\n print(\\\"You're cheating!\\\")\\n print(\\\"until you reroll it!\\\")\\n print(\\\"\\\"\\\"\\nYou rolled:\\na = [ {} ]\\nb = [ {} ]\\n\\nYou are in Stage {}\\n \\\"\\\"\\\".format(self.die_a, self.die_b, self.stage))\",\n \"def show_quest(self):\\n for quest_line in self.qtext:\\n print(quest_line)\\n time.sleep(1)\",\n \"def ready(self):\\n self.stdout.write('READY\\\\n')\\n self.stdout.flush()\",\n \"def play():\\n display_starting_message()\\n print(\\\"\\\")\\n print(\\\"*\\\"*10)\\n for question_number, question in enumerate(list_of_questions):\\n print(question)\\n print(\\\"\\\")\\n for responses in list_of_questions[question]:\\n print(responses)\\n pick_one = input(\\\"pick one: \\\")\\n check_murder_sauce(question, pick_one)\\n\\n murder_sauce_result(murder_sauce)\",\n \"def displayDiscarded(self):\\n print(\\\"Discarded :\\\")\\n if len(self.discarded) == 0:\\n print(\\\"*no discard yet*\\\")\\n else:\\n for card in self.discarded:\\n print(card.toString(), end=\\\" \\\")\\n print()\",\n \"def show_game_mission():\\n print_bold(\\\"Misija:\\\")\\n print(\\\"\\\\tOdaberi kućicu u kojoj se Talion može odmoriti ...\\\")\\n print_bold(\\\"SAVJET:\\\")\\n print(\\\"PAZI kako biraš jer neprijatelji su blizu!\\\")\\n print_dotted_line()\",\n \"def battle_screen_history_bar_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2):\\n\\n\\n for number,text in button_status.battle_screen_history_bar_text_dict.items():\\n if int(number) == 1:\\n button_text = Button(text,'', (0,0,0),250, 0, 600, 30, font_size = 13, alpha = 100)\\n button_text.update()\\n button_text.draw(screen)\\n else:\\n pass\\n\\n button_details = Button('+','', (0,0,0),850, 0, 100, 30,font_size = 25, alpha = 100)\\n button_details.update()\\n button_details.draw(screen)\\n\\n if button_status.battle_screen_history_bar_detail_display == True:\\n i = 0\\n for number,text in button_status.battle_screen_history_bar_text_dict.items():\\n\\n if int(number) % 2 == 1 and text != '':\\n if text == \\\"Game Started!\\\":\\n button_odd = Button(text,'', (0,160,0),200, 30 + 30*(i), 800, 30, font_size = 13)\\n button_odd.update()\\n button_odd.draw(screen)\\n i += 1\\n elif text == \\\"Your turn has started\\\":\\n button_odd = Button(text,'', (0,160,0),200, 30 + 30*(i), 800, 30, font_size = 13)\\n button_odd.update()\\n button_odd.draw(screen)\\n i += 1\\n elif text == \\\"Opponent's turn has started\\\":\\n button_odd = Button(text,'', (160,0,0),200, 30 + 30*(i), 800, 30, font_size = 13)\\n button_odd.update()\\n button_odd.draw(screen)\\n i += 1\\n else:\\n button_odd = Button(text,'', (160,160,160),200, 30 + 30*(i), 800, 30, font_size = 13)\\n button_odd.update()\\n button_odd.draw(screen)\\n i += 1\\n elif int(number) % 2 == 0 and text != '':\\n if text == \\\"Game Started!\\\":\\n button_even = Button(text,'', (0,160,0),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\\n button_even.update()\\n button_even.draw(screen)\\n i += 1\\n elif text == \\\"Your turn has started\\\":\\n button_even = Button(text,'', (0,160,0),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\\n button_even.update()\\n button_even.draw(screen)\\n i += 1\\n elif text == \\\"Opponent's turn has started\\\":\\n button_even = Button(text,'', (160,0,0),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\\n button_even.update()\\n button_even.draw(screen)\\n i += 1\\n else:\\n button_even = Button(text,'', (130,130,130),200, 60 + 30 * (i-1), 800, 30, font_size = 13)\\n button_even.update()\\n button_even.draw(screen)\\n i += 1\",\n \"def event_loop(self):\\n if self.message_counter:\\n if not self.msg:\\n self.showdialog()\\n else:\\n self.msg.setText(\\n \\\"COMET encounterd {} error(s)\\\".format(self.message_counter).ljust(\\n 70\\n )\\n )\",\n \"def instructions():\\n\\t\\n\\tprint \\\\\\n\\t\\\"\\\"\\\"\\n\\tToday we will play the perennial favorite game of...\\n\\tRock! Paper!! Scissors!!!.\\n\\tThe objective of the game is to outthink your opponent (in this case me) and defeat.\\n\\tThe rules are very simple\\n\\t1. Paper covers the Rock\\n\\t2. Rock breaks the Scissors\\n\\t3. Scissors cut the Paper\\n\\t\\n\\tChoose your move from the following:\\n\\t1. Paper (p)\\n\\t2. Rock (r)\\n\\t3. Scissors (s)\\n\\t\\n\\tAre you ready? Alright then, let's play...\\n\\t\\\"\\\"\\\"\",\n \"def progress(self, msg):\\n logging.info(\\\"UI-Test: \\\" + msg)\\n with step(\\\"UI test progress: \\\" + msg):\\n pass\\n if len(self.state) > 0:\\n self.state += \\\"\\\\n\\\"\\n self.state += \\\"UI: \\\" + msg\",\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 welcome_banner():\\n print('\\\\t*' * 10)\\n print('\\\\t\\\\tWelcome!')\\n print('\\\\tPut your knowledge to the test with this Ultimate Quiz Questions!')\\n print('\\\\t*' * 10)\\n print()\",\n \"def game_over(self):\\n if self.missed == 5:\\n print(\\\"You Lost! Better Luck Next Time!\\\")\\n else:\\n print(\\\"You Won! Congratulations!\\\")\\n self.print_full_phrase()\",\n \"def battle_screen_character_1_button_display(screen,buttons, screen_status, button_status, card_database_filter, user):\\n button_basic_info = Button('Lv: ' + user.character_card.level + ' HP: ' + user.character_card.health + ' Card #: ' + str(len(user.hand_list)),'', (0,0,0),1000, 0, 200, 30, alpha = 100)\\n button_basic_info.update()\\n button_basic_info.draw(screen)\\n\\n if ('stage-2-character-action-1' in screen_status.battle_screen_action_indicator\\n and screen_status.battle_screen_player2_action_display_indicator == False):\\n button_action_pointer = Button('>>','',(92,13,78),1000,132,50,23,alpha = 0)\\n button_action_pointer.update()\\n button_action_pointer.draw(screen)\\n elif ('stage-2-character-action-2' in screen_status.battle_screen_action_indicator\\n and screen_status.battle_screen_player2_action_display_indicator == False):\\n button_action_pointer = Button('>>','',(92,13,78),1000,155,50,23, alpha = 0)\\n button_action_pointer.update()\\n button_action_pointer.draw(screen)\\n elif ('stage-2-character-action-3' in screen_status.battle_screen_action_indicator\\n and screen_status.battle_screen_player2_action_display_indicator == False):\\n button_action_pointer = Button('>>','',(92,13,78),1000,178,50,23, alpha = 0)\\n button_action_pointer.update()\\n button_action_pointer.draw(screen)\\n elif ('stage-2-other-action-' in screen_status.battle_screen_action_indicator\\n and screen_status.battle_screen_player2_action_display_indicator == False\\n and 'detail' not in screen_status.battle_screen_action_indicator):\\n x = screen_status.battle_screen_action_indicator.replace('stage-2-other-action-','')\\n button_action_pointer = Button('>>','',(92,13,78),1000,220+23*(int(x)/10-1),50,23, alpha = 0)\\n button_action_pointer.update()\\n button_action_pointer.draw(screen)\",\n \"def print_status(self, state, auction_round):\\n\\n if state['bid_winner'] is None:\\n self.log('No bidder on this round {}.\\\\n'.format(auction_round))\\n else:\\n self.log('Player {} won {} on this round {} with bid amount {}.\\\\n'.format(\\n state['bid_winner'], state['bid_item'], auction_round, state['winning_bid']))\\n\\n self.log('Remaining time:')\\n for idx in range(len(self.players)):\\n if self.players[idx]['valid']:\\n self.log('\\\\t{} has {} seconds remaining'\\n .format(self.players[idx]['name'], self.players[idx]['remain_time']))\\n\\n self.log('Remaining wealth:')\\n for idx in range(len(self.players)):\\n if self.players[idx]['valid']:\\n self.log('\\\\t{} has {} dollars remaining'.format(self.players[idx]['name'], self.players[idx]['wealth']))\\n\\n self.log('------------------------------------\\\\n')\\n\\n if state['finished']:\\n self.log('Game over\\\\n{}\\\\n'.format(state['reason']))\",\n \"def card_success(self): \\n handles = self.driver.window_handles\\n while len(handles) != 3:\\n handles = self.driver.window_handles\\n self.driver.switch_to_window(handles[2])\\n WebDriverWait(self.driver, 20).until(EC.visibility_of_element_located((By.CSS_SELECTOR,'.success'))) \\n self.driver.find_element_by_class_name(\\\"success\\\").click()\\n self.driver.switch_to_window(handles[0])\",\n \"def status(s):\\n print('\\\\033[1m{0}\\\\033[0m'.format(s))\\n time.sleep(2)\",\n \"def print_intro(self):\\n \\n print('Did you know mammals tend to have the shortest migration routes because walking takes more energy than flying or swimming?')\",\n \"def intro():\\n os.system('cls')\\n print(\\\"-------------------------\\\")\\n print(\\\" MOON PHASE CALENDAR\\\")\\n print(\\\"-------------------------\\\")\",\n \"def showMessage(self, message):\\r\\n print message\",\n \"def set_display_message(self, title=\\\"\\\", speaker=\\\"\\\"):\\r\\n if self.recording:\\r\\n self.talkInfoString.setText(\\\"RECORDING\\\\n\\\\nTime remaining:\\\")\\r\\n else:\\r\\n self.talkInfoString.setText(\\\"NEXT TALK\\\\nTitle: %s\\\\nSpeaker: %s\\\\n\\\\nTime until recording:\\\" % (title, speaker))\",\n \"def __display_login_info(self):\\n print(f'\\\\nYour card has been created\\\\n'\\n f'Your card number:\\\\n'\\n # f'{self.__card_display()}\\\\n' # uncomment this line and comment out line below for pretty display\\n f'{self.card_number}\\\\n'\\n f'Your card PIN:\\\\n'\\n f'{self.__account_pin}\\\\n', )\",\n \"def print_start_game():\\n print(HANGMAN_ASCII_ART)\\n print(MAX_TRIES)\",\n \"def print_choice_msg(self) -> None:\\n pass\",\n \"def print_board(self):\\n \\n # How to show empty/p1/p2\\n VALS = \\\".XO\\\"\\n\\n print(\\\"\\\\n a b c d e f g\\\")\\n print(\\\" /--+-+-+-+-+-+--\\\\\\\\\\\")\\n for r in range(_HEIGHT - 1, -1, -1):\\n s = \\\"%s |\\\" % r\\n for c in range(_WIDTH):\\n # Print mark next to most recent move\\n mark = \\\">\\\" if self.last_play_rc == (r, c) else \\\" \\\"\\n s += mark + VALS[self.board[r * 7 + c]]\\n print(s + \\\" |\\\")\\n print(\\\" \\\\\\\\--+-+-+-+-+-+--/\\\")\\n print(\\\" a b c d e f g\\\\n\\\")\",\n \"def print_confirmation(action):\\n\\tprint(Fore.YELLOW + Style.BRIGHT + action + Style.RESET_ALL + \\\"\\\\n\\\")\",\n \"def success(msg):\\n click.secho(msg, fg='green')\",\n \"def print_intro(player, board):\\n print(f'\\\\n+++++++++++++++++++++++ DOCTOR WHO ADVENTURE: THE MISSING TARDIS +++++++++++++++++++++++\\\\n')\\n print(f'\\\"Doctor, this doesn\\\\'t feel right,\\\" {player[\\\"Name\\\"][0]} said hesitantly, \\\"Are'\\n f' you sure we should be here? \\\\nThe TARIDS really didn\\\\'t want to land just now.\\\"'\\n f' \\\"The old girl is just being temperamental, {player[\\\"Name\\\"][0]}. \\\\nDon\\\\'t worry,\\\"'\\n f' the DOCTOR said nonchalantly as he fiddled with the monitors at'\\n f' the console. \\\\n\\\"The note sent to the psychic paper was from an old friend. '\\n f'We are just going to pop by,\\\\nhelp him out, and be back in'\\n f' time for tea at Space Florida!\\\" he continued \\\\nas he sauntered out the TARDIS.\\\\n')\\n sleep(2)\\n print(f'\\\"I thought we were going swimming at Poosh!\\\" {player[\\\"Name\\\"][0]} yelled as'\\n f' they followed the DOCTOR out the door. \\\\nThe TARDIS doors slammed shut '\\n f'behind {player[\\\"Name\\\"][0]}, and the unmistakable sound of the TARDIS \\\\n'\\n f'dematerialising was heard. The DOCTOR and {player[\\\"Name\\\"][0]} could only stare'\\n f' as the TARDIS disappeared from view.\\\\n')\\n sleep(2)\\n print(f'Before the DOCTOR could say anything, the two heard the unmistakable screams of \\\"EX-TER-MIN-ATE\\\" \\\\n'\\n f'from down the hall. They quickly looked at each other, \\\"RUN!\\\"\\\\n')\\n sleep(2)\\n print(f'\\\"{player[\\\"Name\\\"][0]}, go find the TARDIS, she\\\\'ll protect you!\\\" the DOCTOR whispered quickly\\\\n'\\n f'and ran off. \\\"DOCTOR! Wait!\\\" {player[\\\"Name\\\"][0]} angrily grumbled, \\\"Damn he runs fast.\\\"\\\\n'\\n f'Hopefully they don\\\\'t run into any monster as they look for that blue police box.\\\\n')\\n sleep(2)\\n print(board[(0, 4)][\\\"Plot\\\"])\",\n \"def Draw(self):\\n print ( 10*\\\"*\\\")\\n print (\\\"Player \\\" + self.character + \\\" says:\\\")\\n print (\\\"It's a Draw\\\")\\n print ( 10*\\\"*\\\")\",\n \"def lobby_screen_pick_deck_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\\n # Pick deck text\\n button_text_1 = Button('Pick an exist deck or create a new one: ','', (250,250,250),400, 100, 400, 35, font_color = (0,0,0), alpha = 150)\\n button_text_1.update()\\n button_text_1.draw(screen)\\n\\n # Deck list buttons\\n with open('user_deck_list_string.txt','r') as f:\\n f.seek(0)\\n if len(f.readlines()) >= 12:\\n pass\\n else:\\n button_new_deck = Button('+ New Deck','', (250,250,250),1020, 110, 120, 35, font_color = (0,0,0), alpha = 150)\\n button_new_deck.update()\\n button_new_deck.draw(screen)\\n\\n\\n f.seek(0)\\n x = len(f.readlines())\\n y = 0\\n deck_list_index = 0\\n\\n for i in range(1,7):\\n f.seek(0)\\n for line in f:\\n if 'DECK_LIST_' + str(i) not in line:\\n y += 1\\n if y < x: # DECK_LIST_i exist\\n f.seek(0)\\n for line in f:\\n if 'DECK_LIST_' + str(i) in line:\\n deck_length = len(make_card_list_from_string(line.replace('DECK_LIST_' + str(i) + ' = ', ''), ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2))\\n # deck_length = int((len(line.replace('DECK_LIST_' + str(i) + ' = ', '')) -1)/14)\\n if 'CHARACTER_' + str(i) in line:\\n character_length = 1\\n character_card = eval('card_' + line.replace('CHARACTER_' + str(i) + ' = ', '')[7:12])\\n\\n if user.deck_list_index == str(i):\\n\\n button_top = Button(character_card.name + ': ','', (100,30,130),85 + 180* (i-1), 165, 130, 60)\\n button_top.update()\\n button_top.draw(screen)\\n\\n if deck_length < 40:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50, font_color = (250,0,0))\\n button_bottom.update()\\n button_bottom.draw(screen)\\n else:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (100,30,130),85 + 180* (i-1), 225, 130, 50)\\n button_bottom.update()\\n button_bottom.draw(screen)\\n\\n else:\\n\\n button_top = Button(character_card.name + ': ','', (160,160,160),85 + 180* (i-1), 165, 130, 60, alpha = 240)\\n button_top.update()\\n button_top.draw(screen)\\n\\n if deck_length < 40:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, font_color = (200,0,0), alpha = 240)\\n button_bottom.update()\\n button_bottom.draw(screen)\\n else:\\n button_bottom = Button(str(character_length) + '/1 | ' + str(deck_length) +'/40','', (160,160,160),85 + 180* (i-1), 225, 130, 50, alpha = 240)\\n button_bottom.update()\\n button_bottom.draw(screen)\\n\\n y = 0\\n\\n else: # DECK_LIST_i not exist\\n\\n button = Button('Empty','', (200,200,200),85 + 180* (i-1), 165, 130, 110, alpha = 80)\\n button.update()\\n button.draw(screen)\\n\\n y = 0\\n\\n\\n for i in range(1,7):\\n if user.deck_list_index == str(i):\\n button_edit = Button('Edit','', (50,50,170),85 + 180* (i-1), 282, 60, 30)\\n button_edit.update()\\n button_edit.draw(screen)\\n\\n button_delete = Button('Delete','', (160,30,30), 155 + 180* (i-1), 282, 60, 30)\\n button_delete.update()\\n button_delete.draw(screen)\",\n \"def battle_screen_my_hand_button_display(screen,buttons, screen_status, button_status, card_database_filter, user):\\n if screen_status.battle_screen_action_indicator != 'stage-0':\\n # Page forward button\\n button1 = Button('>','', (0,0,0),1100, 660, 50, 50)\\n # Edge cases when len() = 14,28,42 ...\\n if len(user.hand_list) % 7 == 0 and len(user.hand_list) != 0:\\n if screen_status.battle_screen_my_hand_page_id != ((len(user.hand_list))//7): # Make sure on the last page no foreward button shows up\\n button1.update()\\n button1.draw(screen)\\n # Normal cases\\n else:\\n if screen_status.battle_screen_my_hand_page_id != ((len(user.hand_list))//7 + 1): # Make sure on the last page no foreward button shows up\\n button1.update()\\n button1.draw(screen)\\n # Page backward button\\n button2 = Button('<', '' ,(0,0,0),50, 660, 50, 50)\\n if screen_status.battle_screen_my_hand_page_id != 1: # Make sure on the first page no backward button shows up\\n button2.update()\\n button2.draw(screen)\\n #\\n if button_status.battle_screen_my_hand_page_change_button_backend:\\n buttons.extend((button1,button2))\\n button_status.battle_screen_my_hand_page_change_button_backend = False\\n if ((screen_status.battle_screen_action_indicator == 'stage-1-level-up'\\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and 'detail' in screen_status.battle_screen_action_indicator)\\n or 'stage-2-other-action-detail-spawn' in screen_status.battle_screen_action_indicator\\n or 'stage-2-other-action-detail-think-fast' in screen_status.battle_screen_action_indicator\\n or 'stage-2-other-action-detail-equip' in screen_status.battle_screen_action_indicator\\n or 'stage-2-other-action-detail-sneak' in screen_status.battle_screen_action_indicator\\n or 'stage-2-other-action-detail-tactic-1' in screen_status.battle_screen_action_indicator)\\n and (screen_status.battle_screen_player2_action_display_indicator == False)):\\n if button_status.battle_screen_my_hand_indicator_display == True:\\n located_card = user.hand_list[7*(screen_status.battle_screen_my_hand_page_id - 1)+(int(button_status.battle_screen_my_hand_indicator_position)-1)]\\n\\n button_top = Button('','', (250,0,0),located_card.rect.x-5, located_card.rect.y - 5, 140, 5)\\n button_top.update()\\n button_top.draw(screen)\\n\\n button_bottom = Button('','', (250,0,0),located_card.rect.x-5, located_card.rect.y + 180, 140, 5)\\n button_bottom.update()\\n button_bottom.draw(screen)\\n\\n button_left = Button('','', (250,0,0),located_card.rect.x-5, located_card.rect.y, 5, 180)\\n button_left.update()\\n button_left.draw(screen)\\n\\n button_right = Button('','', (250,0,0),located_card.rect.x + 130, located_card.rect.y , 5, 180)\\n button_right.update()\\n button_right.draw(screen)\\n # button_level_up = Button('***','battle_screen_handaction_****', (70,70,150),located_card.rect.x+10, located_card.rect.y - 27, 115, 27)\\n # button_level_up.update()\\n # button_level_up.draw(screen)\",\n \"def show_greeting(self):\\n self.output(' ------------------------ ')\\n self.output('You are now playing ' + self.name)\\n self.output(self.greeting)\\n self.output(' ------------------------ ')\",\n \"def lobby_screen_room_detail_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, action, player2):\\n\\n if button_status.lobby_screen_room_detail_display == 'none':\\n\\n if button_status.lobby_screen_room_list_display == 'N/A':\\n button5 = Button('Create a game:','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\\n button5.update()\\n button5.draw(screen)\\n\\n button3 = Button('CREATE','', (40,40,120),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n else:\\n button5 = Button('Please join the existing game!','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\\n button5.update()\\n button5.draw(screen)\\n\\n\\n\\n elif button_status.lobby_screen_room_detail_display == 'my':\\n\\n if button_status.lobby_screen_room_status == '1/2':\\n button5 = Button(user.name + \\\"'s game:\\\" + ' 1/2','', (0,0,0),400, 580, 400, 50, font_size = 20,font_color = (200,100,100), alpha = 0)\\n button5.update()\\n button5.draw(screen)\\n elif button_status.lobby_screen_room_status == '2/2':\\n button5 = Button(user.name + \\\"'s game:\\\" + ' 2/2','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\\n button5.update()\\n button5.draw(screen)\\n\\n if button_status.lobby_screen_my_ready_to_go == False:\\n button3 = Button(user.name,'', (200,200,110),205, 635, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_my_ready_to_go == True:\\n button3 = Button(user.name,'', (110,200,110),205, 635, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n if button_status.lobby_screen_room_status == '1/2':\\n button3 = Button('Empty','', (250,250,250),205, 680, 650, 35,alpha = 100)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_room_status == '2/2':\\n if button_status.lobby_screen_other_ready_to_go == False:\\n button3 = Button(player2.name,'', (200,200,110),205, 680, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_other_ready_to_go == True:\\n button3 = Button(player2.name,'', (110,200,110),205, 680, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n if button_status.lobby_screen_prepare_to_go_display == False:\\n if button_status.lobby_screen_room_status == '1/2':\\n button3 = Button('NEXT','', (120,120,120),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_room_status == '2/2':\\n button3 = Button('NEXT','', (40,120,40),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n else:\\n if button_status.lobby_screen_my_ready_to_go == False:\\n\\n button3 = Button('READY!','', (40,120,40),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n elif button_status.lobby_screen_my_ready_to_go == True:\\n if button_status.lobby_screen_other_ready_to_go == True:\\n button3 = Button('PLAY!','', (247, 201, 37),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_other_ready_to_go == False:\\n button3 = Button('WAIT!','', (40, 40, 120),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n\\n button3 = Button('QUIT','', (120,40,40),920, 684, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n elif button_status.lobby_screen_room_detail_display == 'other':\\n\\n if button_status.lobby_screen_room_status == '1/2':\\n button5 = Button(player2.name + \\\"'s game:\\\" + ' 1/2','', (0,0,0),400, 580, 400, 50, font_size = 20,font_color = (200,100,100), alpha = 0)\\n button5.update()\\n button5.draw(screen)\\n elif button_status.lobby_screen_room_status == '2/2':\\n button5 = Button(player2.name + \\\"'s game:\\\" + ' 2/2','', (0,0,0),400, 580, 400, 50, font_size = 20, alpha = 0)\\n button5.update()\\n button5.draw(screen)\\n\\n if button_status.lobby_screen_my_ready_to_go == False:\\n button3 = Button(player2.name,'', (200,200,110),205, 635, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_my_ready_to_go == True:\\n button3 = Button(player2.name,'', (110,200,110),205, 635, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n\\n if button_status.lobby_screen_room_status == '1/2':\\n button3 = Button('Empty','', (250,250,250),205, 680, 650, 35,alpha = 100)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_room_status == '2/2':\\n\\n if button_status.lobby_screen_other_ready_to_go == False:\\n button3 = Button(user.name,'', (200,200,110),205, 680, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_other_ready_to_go == True:\\n button3 = Button(user.name,'', (110,200,110),205, 680, 650, 35,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n if button_status.lobby_screen_prepare_to_go_display == True:\\n if button_status.lobby_screen_other_ready_to_go == False:\\n button3 = Button('READY!','', (40,120,40),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n elif button_status.lobby_screen_other_ready_to_go == True:\\n button3 = Button('WAIT...','', (40,40,120),920, 607, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\\n\\n button3 = Button('QUIT','', (120,40,40),920, 684, 100, 50,alpha = 240)\\n button3.update()\\n button3.draw(screen)\",\n \"def battle_screen_battleground_button_display(ai_settings, screen, buttons,screen_status, button_status, card_database_filter, user, player2):\\n if ('stage-2-other-action-detail-tactic-1' in screen_status.battle_screen_action_indicator\\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and '-detail-tactic-1' in screen_status.battle_screen_action_indicator)\\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and 'easy-shot' in screen_status.battle_screen_action_indicator)\\n or ('stage-2-character-action-' in screen_status.battle_screen_action_indicator and 'tricky-shot' in screen_status.battle_screen_action_indicator)\\n or 'stage-3-monster-' in screen_status.battle_screen_action_indicator\\n or 'stage-2-other-action-detail-easy-shot' in screen_status.battle_screen_action_indicator\\n or 'stage-2-other-action-detail-tricky-shot' in screen_status.battle_screen_action_indicator\\n ):\\n if button_status.battle_screen_player1_battleground_indicator_display == True:\\n if int(button_status.battle_screen_player1_battleground_indicator_position) <= 3:\\n i = int(button_status.battle_screen_player1_battleground_indicator_position)\\n monster_rect_x = 650\\n monster_rect_y = 220 + 110*(i-1)\\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\\n button.update()\\n button.draw(screen)\\n elif int(button_status.battle_screen_player1_battleground_indicator_position) <= 6:\\n i = int(button_status.battle_screen_player1_battleground_indicator_position)\\n monster_rect_x = 825\\n monster_rect_y = 220 + 110*(i-4)\\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\\n button.update()\\n button.draw(screen)\\n\\n if button_status.battle_screen_player2_battleground_indicator_display == True:\\n if int(button_status.battle_screen_player2_battleground_indicator_position) <= 3:\\n i = int(button_status.battle_screen_player2_battleground_indicator_position)\\n monster_rect_x = 420\\n monster_rect_y = 220 + 110*(i-1)\\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\\n button.update()\\n button.draw(screen)\\n elif int(button_status.battle_screen_player2_battleground_indicator_position) <= 6:\\n i = int(button_status.battle_screen_player2_battleground_indicator_position)\\n monster_rect_x = 245\\n monster_rect_y = 220 + 110*(i-4)\\n button = Button('***','', (70,70,150),monster_rect_x + 50, monster_rect_y - 27, 30, 27)\\n button.update()\\n button.draw(screen)\",\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 info(msg):\\n click.secho(msg, fg='blue')\",\n \"def print(self):\\n for i in range(self.rows):\\n print(\\\"--\\\" * self.cols + \\\"-\\\")\\n for j in range(self.cols):\\n cell = self.get_game_cell(i, j)\\n if cell is None:\\n print(f'({i} - {j}): failed')\\n return None\\n if cell.status == 'EMPTY':\\n print(\\\"| \\\", end=\\\"\\\")\\n else:\\n print(f\\\"|{cell.status}\\\", end=\\\"\\\")\\n print(\\\"|\\\")\\n print(\\\"--\\\" * self.cols + \\\"-\\\")\\n print(f\\\"Completed({self.completed}) - {self.winner}\\\")\",\n \"def is_button_output_present(self):\\n self.wait_for_element_presence('div#ready', 'Page is Ready')\\n self.q(css='div#fixture button').first.click()\\n self.wait_for_element_presence('div#output', 'Button Output is Available')\",\n \"def show_messages(self):\\n console.alert(\\n \\\"Info\\\",\\n \\\"If StaSh does not launch anymore after you changed the config, run the 'launch_stash.py' script with \\\\n'--no-cfgfile'.\\\",\\n \\\"Ok\\\",\\n hide_cancel_button=True,\\n )\\n while True:\\n self.wait_modal()\\n if not self.subview_open:\\n break\\n console.alert(\\n \\\"Info\\\",\\n \\\"Some changes may only be visible after restarting StaSh and/or Pythonista.\\\",\\n \\\"Ok\\\",\\n hide_cancel_button=True,\\n )\",\n \"def main():\\r\\n future_student = \\\"Future begins\\\"\\r\\n print_message(future_student)\\r\\n print_message(\\\"Dreams begin\\\")\\r\\n print_message(\\\"Aspirations begin\\\")\",\n \"def print_banner(message):\\n\\n print(\\\"#############################################################################\\\")\\n print(message)\",\n \"def show_result():\\n print(\\\"I win!!\\\")\",\n \"def on_pushButton_clicked(self):\\r\\n # TODO: not implemented yet\\r\\n print 1\",\n \"def print_hands(self):\\n # Clear the terminal and reprint round header\\n os.system(\\\"clear\\\")\\n self.print_header\\n\\n # Only display one of the dealers cards if they are still playing\\n if not self.round_winner:\\n print()\\n print(\\\"Dealer's Cards\\\")\\n print(\\\"=\\\" * 25)\\n print(\\\"UNKNOWN\\\")\\n for card in self.dealer.cards:\\n if card != self.dealer.cards[0]:\\n print(f\\\"{card.game_value} of {card.suit}\\\")\\n print(\\\"-\\\"*25)\\n print(\\\"TOTAL = ?\\\")\\n print()\\n\\n print(\\\"Player's Cards\\\")\\n print(\\\"=\\\" * 25)\\n for card in self.player.cards:\\n print(f\\\"{card.game_value} of {card.suit}\\\")\\n print(\\\"-\\\" * 25)\\n print(\\\"TOTAL = \\\" + str(self.player.sum_cards()))\\n print()\\n\\n # Display the players cards and all of the dealers cards\\n elif self.round_winner:\\n print()\\n print(\\\"Dealer's Cards\\\")\\n print(\\\"=\\\" * 25)\\n for card in self.dealer.cards:\\n print(f\\\"{card.game_value} of {card.suit}\\\")\\n print(\\\"-\\\" * 25)\\n print(\\\"TOTAL = \\\" + str(self.dealer.sum_cards()))\\n print()\\n\\n print(\\\"Player's Cards\\\")\\n print(\\\"=\\\" * 25)\\n for card in self.player.cards:\\n print(f\\\"{card.game_value} of {card.suit}\\\")\\n print(\\\"-\\\" * 25)\\n print(\\\"TOTAL = \\\" + str(self.player.sum_cards()))\\n print()\\n pass\",\n \"def player_tie(self):\\r\\n\\r\\n self.summary = (\\\" \\\"* 78) + \\\"TIE. TRY AGAIN\\\"\\r\\n print(\\\"Match ends in a draw.\\\\n\\\")\",\n \"def continue_command(self):\\n cycles_cont = self.on_spin_cont(wx.SpinCtrl)\\n global global_cycles_completed\\n # check that this function has been called on pressing continue button\\n text = \\\"\\\".join(\\n [_(u\\\"continue_command function has been called, number of cycles is: \\\"), str(cycles_cont)])\\n if self.state == 0:\\n self.canvas_2d.render(text, True)\\n else:\\n self.canvas_3d.render()\\n if cycles_cont is not None: # if the number of cycles provided is valid\\n if global_cycles_completed == 0:\\n print(_(u\\\"Error! Nothing to continue. Run first.\\\"))\\n elif self.run_network(cycles_cont):\\n global_cycles_completed += cycles_cont\\n print(\\\" \\\".join([_(u\\\"Continuing for\\\"), str(cycles_cont), _(u\\\"cycles.\\\"), _(u\\\"Total:\\\"), str(\\n global_cycles_completed)]))\",\n \"def inform_players(list_of_players):\\n for player in list_of_players:\\n player.show_cards_beginning()\\n input(\\\"Press enter to pass your turn\\\")\\n print()\",\n \"def principle(self):\\n self.main_window.message(\\n bg=\\\"navy\\\", fg=\\\"ivory\\\", width=400, font=\\\"Helvetica 10 bold\\\",\\n text=\\\"The pieces in this game each have one white and one black\\\"\\n \\\" side. When you click on a piece, all 8 adjacent pieces turn\\\"\\n \\\" over.\\\\nThe game consists of trying to turn them all over.\\\\n\\\"\\n \\\"\\\\nIf the exercise is very easy with a 2 x 2 grid, it becomes\\\"\\n \\\" more difficult with larger grids. It is even impossible with\\\"\\n \\\" some grids.\\\\nIt's up to you to find out which ones!\\\\n\\\"\\n \\\" Reference: 'Pour la Science' magazine\\\")\",\n \"def display_turn_text(self):\\n if self.turn_display_timer > 0:\\n self.turn_display_timer -= 1\\n if self.turn_display_timer > 0:\\n fill(1, 0, 0)\\n textSize(self.WINDOW_SIZE//20)\\n textAlign(CENTER)\\n if self.player_turn is True:\\n game_turn_text = \\\"Player Turn\\\"\\n text(game_turn_text, self.WINDOW_SIZE/2, self.TEXT_OFFSET)\\n elif self.player_turn is False:\\n game_turn_text = \\\"OthelloAI Turn\\\"\\n text(game_turn_text, self.WINDOW_SIZE/2, self.TEXT_OFFSET)\",\n \"def print_instructions(self):\\n\\t\\tprint('\\\\n\\\\n==========================================================================')\\n\\t\\tprint('==========================================================================\\\\n')\\n\\t\\tprint('Welcome to Tic Tac Toe, the came you know and love. \\\\nThe rules are the same ones you know and love. \\\\nTo make a move just type the coordinates of the spot like so - row,column. \\\\nNo spaces please! Lets go ahead and start! Here is a picuter of the board with some coordinates just in case!\\\\n')\\n\\t\\tprint('=====================')\\n\\t\\tprint('|| 0,0 | 0,1 | 0,2 ||')\\n\\t\\tprint(' -----------------')\\n\\t\\tprint('|| 1,0 | 1,1 | 1,2 ||')\\n\\t\\tprint(' -----------------')\\n\\t\\tprint('|| 2,0 | 2,1 | 2,2 ||')\\n\\t\\tprint('=====================')\\n\\t\\tprint('\\\\n==========================================================================')\\n\\t\\tprint('==========================================================================\\\\n\\\\n')\",\n \"def wait_for_button(self, button, message=True):\\n if message:\\n rospy.loginfo(\\\"Waiting for xbox button: \\\" + button)\\n \\n wait_for(lambda: not self.get_button(button) == 0)\",\n \"def print_fight_status():\\n printmessage(\\\"You're fighting with a %s\\\" % ITEMS[0], 3, RED, 0)\\n printmessage(\\\"You feel like you're %s\\\" % get_strength_text(STRENGTHVAL), 4, GREEN, 0)\\n printmessage(\\\"The bear looks like he is %s\\\" % get_strength_text(BEARSTRENGTHVAL), 5, MAGENTA, 0)\\n printmessage(\\\"Your food supply is %s\\\" % get_hunger_text(HUNGERVAL), 6, YELLOW, 0)\",\n \"def event_m20_11_x81():\\n \\\"\\\"\\\"State 0,1: Prayer action\\\"\\\"\\\"\\n PlayerActionRequest(6)\\n assert (GetStateTime() > 4) != 0\\n \\\"\\\"\\\"State 2: Dialog display: Nothing happened\\\"\\\"\\\"\\n # action:1113:\\\"Alas, nothing happened\\\"\\n DisplayOwnOkMenu(1113, 10, 0, 190, 0, 0, 0)\\n \\\"\\\"\\\"State 3: End of prayer action\\\"\\\"\\\"\\n EndPlayerActionRequest()\\n \\\"\\\"\\\"State 4: End state\\\"\\\"\\\"\\n return 0\",\n \"def play(self):\\n print(\\\"Bientôt ! :)\\\")\",\n \"def printInstructions(self):\\n print(\\\"\\\"\\\"•\\tAim of the Game is to be the first to lose all of your chips\\n•\\tPlayers are put in order of the lowest to \\nhighest based on their first roll\\n(This is done automatically when you enter your name)\\n• You start out with 5 chips.\\n• When it is your turn you roll the die.\\n\\\\t•\\tIf the space with the same number as the die is empty (value of 0),\\n\\\\t\\\\tput a chip there.\\n\\\\t•\\tbut if there already is a chip there (value of 1), you must take it.\\n\\\\t•\\tIf you roll a 6, you always put one of your chips on the space number 6 – \\n\\\\t\\\\tregardless of how many chips are there already. \\n\\\\t\\\\tChips on space number 6 are out of the game,\\n\\\\t\\\\tand you never pick these up again.\\n\\\"\\\"\\\")\",\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 print_success_msg(msg):\\n click.secho(msg, fg='green', file=sys.stdout)\",\n \"def outro():\\n print('Tento remake vytvoril mirek sko súčasť svojich školení v rokoch 2022-2023.')\\n print('Originálnu hru vytvoril v roku 1986 František Fuka aka Fuxoft.')\\n print('See you soon.')\",\n \"def test_ProstateReporting1(self):\\n\\n self.delayDisplay(\\\"Starting the test\\\")\\n\\n self.delayDisplay('Test passed!')\",\n \"def build_deck_screen_stable_button_display(screen, buttons,screen_status,button_status):\\n # button1 = Button('Back','build_deck_screen', (0,0,0),0, 0, 50, 50)\\n # button1.update()\\n # button1.draw(screen)\\n button2 = Button('Save','build_deck_screen', (250,250,250),1150, 0, 50, 50, font_color = (0,0,0), alpha = 150)\\n button2.update()\\n button2.draw(screen)\\n button3 = Button('Build your deck by picking 40 cards below: ', 'build_deck_screen', (250,250,250),300, 0, 600, 50, font_color = (0,0,0), alpha = 150)\\n button3.update()\\n button3.draw(screen)\\n if button_status.build_deck_screen_stable_button_backend:\\n buttons.extend((button2, button3))\\n button_status.build_deck_screen_stable_button_backend = False\",\n \"def printStatus(self,mod=\\\"\\\"):\\n dims = \\\"\\\"\\n corner_labels = {\\\"back_right\\\":\\\"br\\\",\\\"back_left\\\":\\\"bl\\\",\\\"front_right\\\":\\\"fr\\\",\\\\\\n \\\"front_left\\\":\\\"fl\\\"}\\n for x in self.four_corners:\\n dims += \\\"{}({},{}), \\\".format(corner_labels[x],self.four_corners[x][0],\\\\\\n self.four_corners[x][1])\\n print(\\\"{}{}\\\\tLEN: {}\\\\tLANES: ({},{})\\\".format(mod,\\\\\\n self.label,round(self.length,2), self.top_up_lane.label,\\\\\\n self.bottom_down_lane.label))\\n print(\\\"{}{}\\\\t{}\\\\n\\\".format(mod,self.label,dims))\",\n \"def check_ready(self):\\r\\n print \\\"Checking ready\\\"\\r\\n\\t\\tif self.game.trough.is_full():\\r\\n print \\\"Ready\\\"\\r\\n\\t\\t\\tself.ready()\\r\\n\\t\\t\\treturn True\\r\\n\\t\\tprint \\\"Not Ready\\\"\\r\\n\\t\\treturn False\",\n \"def prompt_player(self):\\n board = self.draw_board()\\n print board\\n self.player_moves(self.board_values)\",\n \"async def print_processor(self) -> None:\\n try:\\n while True:\\n while self.print_queue.empty() is not True:\\n stub = await self.print_queue.get()\\n if isinstance(stub, str):\\n print(stub)\\n elif isinstance(stub, tuple):\\n if stub[0] == \\\"error\\\":\\n print(f\\\"{r}{stub[1]}{reset}\\\")\\n elif stub[0] == \\\"warning\\\":\\n print(f\\\"{y}{stub[1]}{reset}\\\")\\n elif stub[0] == \\\"success\\\":\\n print(f\\\"{g}{stub[1]}{reset}\\\")\\n elif stub[0] == \\\"bold\\\":\\n print(f\\\"{bold}{stub[1]}{reset}\\\")\\n else:\\n print(f\\\"{stub[1]}\\\")\\n self.print_queue.task_done()\\n await asyncio.sleep(0.002)\\n except asyncio.CancelledError:\\n print('Closing the RedCisco application... Cleaning up running tasks...\\\\n')\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.66662335","0.6361344","0.6316823","0.6280809","0.6178084","0.6174785","0.6170106","0.613654","0.61161566","0.61064357","0.6105633","0.60992396","0.6090242","0.6024819","0.6020871","0.5997386","0.5983832","0.59802616","0.59356964","0.593354","0.5915386","0.59087473","0.5908093","0.590475","0.5900574","0.5892236","0.5884856","0.5874889","0.5851253","0.58500266","0.5832663","0.5821517","0.5811647","0.581077","0.5810268","0.58044815","0.57990724","0.57977","0.5795472","0.5790314","0.5785214","0.57846177","0.5779526","0.5777746","0.5769675","0.5768167","0.5759663","0.5749025","0.57438606","0.5732037","0.5729812","0.57221663","0.5719263","0.5713208","0.57118225","0.57047015","0.5704197","0.5698363","0.56949097","0.5688422","0.5685752","0.56842947","0.56740266","0.56683314","0.56671965","0.5665152","0.5660065","0.5656915","0.5655009","0.5653172","0.56428057","0.56407994","0.5640728","0.5640647","0.56373674","0.56320965","0.5622394","0.56119156","0.56043094","0.5596326","0.5596032","0.55957234","0.5595171","0.55939806","0.5591642","0.5587074","0.5577026","0.55759186","0.5575224","0.55707306","0.5568193","0.5565455","0.55647534","0.5563202","0.55618787","0.5561455","0.55533564","0.55525935","0.5552032","0.5549953","0.5547615"],"string":"[\n \"0.66662335\",\n \"0.6361344\",\n \"0.6316823\",\n \"0.6280809\",\n \"0.6178084\",\n \"0.6174785\",\n \"0.6170106\",\n \"0.613654\",\n \"0.61161566\",\n \"0.61064357\",\n \"0.6105633\",\n \"0.60992396\",\n \"0.6090242\",\n \"0.6024819\",\n \"0.6020871\",\n \"0.5997386\",\n \"0.5983832\",\n \"0.59802616\",\n \"0.59356964\",\n \"0.593354\",\n \"0.5915386\",\n \"0.59087473\",\n \"0.5908093\",\n \"0.590475\",\n \"0.5900574\",\n \"0.5892236\",\n \"0.5884856\",\n \"0.5874889\",\n \"0.5851253\",\n \"0.58500266\",\n \"0.5832663\",\n \"0.5821517\",\n \"0.5811647\",\n \"0.581077\",\n \"0.5810268\",\n \"0.58044815\",\n \"0.57990724\",\n \"0.57977\",\n \"0.5795472\",\n \"0.5790314\",\n \"0.5785214\",\n \"0.57846177\",\n \"0.5779526\",\n \"0.5777746\",\n \"0.5769675\",\n \"0.5768167\",\n \"0.5759663\",\n \"0.5749025\",\n \"0.57438606\",\n \"0.5732037\",\n \"0.5729812\",\n \"0.57221663\",\n \"0.5719263\",\n \"0.5713208\",\n \"0.57118225\",\n \"0.57047015\",\n \"0.5704197\",\n \"0.5698363\",\n \"0.56949097\",\n \"0.5688422\",\n \"0.5685752\",\n \"0.56842947\",\n \"0.56740266\",\n \"0.56683314\",\n \"0.56671965\",\n \"0.5665152\",\n \"0.5660065\",\n \"0.5656915\",\n \"0.5655009\",\n \"0.5653172\",\n \"0.56428057\",\n \"0.56407994\",\n \"0.5640728\",\n \"0.5640647\",\n \"0.56373674\",\n \"0.56320965\",\n \"0.5622394\",\n \"0.56119156\",\n \"0.56043094\",\n \"0.5596326\",\n \"0.5596032\",\n \"0.55957234\",\n \"0.5595171\",\n \"0.55939806\",\n \"0.5591642\",\n \"0.5587074\",\n \"0.5577026\",\n \"0.55759186\",\n \"0.5575224\",\n \"0.55707306\",\n \"0.5568193\",\n \"0.5565455\",\n \"0.55647534\",\n \"0.5563202\",\n \"0.55618787\",\n \"0.5561455\",\n \"0.55533564\",\n \"0.55525935\",\n \"0.5552032\",\n \"0.5549953\",\n \"0.5547615\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4773,"cells":{"query":{"kind":"string","value":"Test Category model data insertion/types/field attributes"},"document":{"kind":"string","value":"def test_category_model_entry(self): # PRUEBA DE CARGAR LA INFORMACION EN LOS MODELOS A TESTEAR\n data = self.data1\n self.assertTrue(isinstance(data, Category)) # REALIZA EL TESTEO "},"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 test_category_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data, Category))\n self.assertEqual(str(data), 'django')","def test_create_category(self):\n pass","def test_category_has_access_to_model_data():\n category = Category()\n category_data = category.get_category_data()\n\n assert type(category_data) is list\n assert len(category_data) > 1","def test_category_model_entry(self):\n data = self.data1\n self.assertEqual(str(data), 'django')","def test_update_category(self):\n pass","def test_new_category_data(db_session):\n new_cat = Category(\n label=\"test_label\",\n desc=\"test_desc\"\n )\n db_session.add(new_cat)\n category = db_session.query(Category).all()\n assert category[0].label == \"test_label\"\n assert category[0].desc == \"test_desc\"","def test_save(self, init_db):\n params = {\n 'name': fake.alphanumeric(15)\n }\n category = Category(**params)\n assert category == category.save()","def test_create_category(self):\n payload = {\n 'name': 'Houses',\n }\n res = self.client.post(CATEGORY_URL, payload)\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\n category = Category.objects.get(id=res.data['id'])\n serializer = CategorySerializer(category)\n self.assertEqual(serializer.data['name'], payload['name'])","def test_category_save(database):\n category = Category(title=\"Test Category\")\n category.save()\n\n assert category.title == \"Test Category\"","def test_create(self):\n self.assertTrue(Category.objects.exists())","def test_create_cat_object():\n from .scripts.initializedb import create_cat_object\n cat_object = create_cat_object(\"a\", \"b\", \"c\", \"c\")\n assert isinstance(cat_object, Category)","def test_model_string_representation(self, init_db, category):\n assert repr(category) == f'<Category: {category.name}>'","def test_add_category(self):\n self.add_success(self.test_data['pants'])","def test_add_category(self):\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\n self.login('Bo_theo5@example.com', 'Bo1995')\n self.dashboard()\n rv = self.category('Breakfast')\n self.assertIn(b'Category created', rv.data)","def test_create_recipe_category(self):\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\n self.login('Bo_theo5@example.com', 'Bo1995')\n self.dashboard()\n self.category('JunkFood')\n self.dashboard()\n self.recipe_dashboard()\n rv = self.create_recipe('cakes', 'blah, blah, blah....mix ingredient, heat')\n self.assertIn(b'Recipe created', rv.data)","def test_create_category(self):\n res = self.client().post('/categories/', data=self.category)\n self.assertEqual(res.status_code, 201)\n self.assertIn('Stews', str(res.data))","def test_add_category_missing_fields(self):\n category = json.dumps({\n 'desc': \"Jamaican\",\n })\n response = self.client.post('/category', data=category,\n headers={\"Authorization\": self.token})\n self.assertEqual(response.status_code, 400)\n self.assertIn('Check the keys and try again', response.data.decode())","def test_edit_recipe_category(self):\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\n self.login('Bo_theo5@example.com', 'Bo1995')\n self.dashboard()\n self.category('JunkFood')\n self.dashboard()\n self.recipe_dashboard()\n self.create_recipe('cakes', 'blah, blah, blah....mix ingredient, heat')\n rv = self.edit_recipe('edited cakes', 'edited blah blah blah spoon , heat')\n self.assertIn(b'Recipe successfully updated', rv.data)","def test_category_lowercase(self):\n self.assertEqual(self.category.category, \"test\")","def test_update(self, init_db, category):\n category_name = fake.alphanumeric()\n category.update(name=category_name)\n assert category.name == category_name","def test_category_mixed(self):\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.fv('minus_upload', 'categories', 'onecat')\n self.fv('minus_upload', 'add_category', 'yuppie')\n self.submit200()\n minus = MinusRecord.objects.all()[0]\n self.assert_equal(minus.categories.count(), 2)\n self.assert_equal(minus.categories.all()[0].name, 'onecat')\n self.assert_equal(minus.categories.all()[1].name, 'yuppie')","def insert_data_category_into_bdd(self):\n for category in constant.LIST_CATEGORIES:\n data = Category(name=category)\n data.save()\n print(\"the category \" + str(category) + \" has been created\")","def test_dashboard_recipe_created_with_category(self):\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\n self.login('Bo_theo5@example.com', 'Bo1995')\n self.dashboard()\n self.category('JunkFood')\n self.dashboard()\n rv = self.recipe_dashboard()\n self.assertIn(b'JunkFood', rv.data)","def test_get(self, init_db, category):\n assert Category.get(category.id) == category","def test_edit_category(self):\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\n self.login('Bo_theo5@example.com', 'Bo1995')\n self.dashboard()\n self.category('Breakfast')\n self.dashboard()\n rv = self.edit_category('JunkFood')\n self.assertIn(b'Category successfully updated', rv.data)","def test_add_category_to_asset(self):\n pass","def test_0005_create_categories(self):\n self.create_category(name='Test 0060 Workflow Features', description='Test 0060 - Workflow Features')","def test_find_by_category(self):\n Pet(0, \"fido\", \"dog\").save()\n Pet(0, \"kitty\", \"cat\").save()\n pets = Pet.find_by_category(\"cat\")\n self.assertNotEqual(len(pets), 0)\n self.assertEqual(pets[0].category, \"cat\")\n self.assertEqual(pets[0].name, \"kitty\")","def test_category_mixed_on_edit(self):\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.fv('minus_upload', 'categories', 'onecat')\n self.submit200()\n minus = MinusRecord.objects.all()[0]\n self.assert_equal(minus.categories.count(), 1)\n self.go200('minus_edit', [self.superuser, minus.id])\n self.fv('minus_upload', 'add_category', 'yuppie')\n self.submit200()\n self.assert_equal(minus.categories.count(), 2)\n self.assert_equal(minus.categories.all()[0].name, 'onecat')\n self.assert_equal(minus.categories.all()[1].name, 'yuppie')","def test_update_category(self):\n self.update_success(self.test_data['pants'], self.test_data['shirts'])","def test_new_category_is_added(db_session):\n new_cat = Category(\n label=\"test_label\",\n desc=\"test_desc\"\n )\n db_session.add(new_cat)\n query = db_session.query(Category).all()\n assert len(query) == 1","def test_products_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data, Product))\n self.assertEqual(str(data), 'django beginners')","def test_products_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data, Recipe))\n self.assertEqual(str(data), 'django beginners')","def test_Categories_getter(self):\r\n expected = ['Treatment', 'DOB']\r\n observed = self.cs_overview.Categories\r\n self.assertEqual(observed, expected)","def create_category():\n category = Category(name='testcategory', description=\"\", fee=DEFAULT_FEE)\n category.save()\n return category","def test_category_manip_pipeline(self):\n raise NotImplementedError(\"\")","def test_update_category(self):\n category = sample_category()\n url = category_details_url(category.id)\n self.client.put(url, {\"name\": \"school\"})\n category.refresh_from_db()\n self.assertEqual(category.name, 'school')","def test_query_category(self):\r\n CategoryFactory.create(name='thinking', short_name='thinking')\r\n # Test for real field\r\n url = \"/api/category\"\r\n res = self.app.get(url + \"?short_name=thinking\")\r\n data = json.loads(res.data)\r\n # Should return one result\r\n assert len(data) == 1, data\r\n # Correct result\r\n assert data[0]['short_name'] == 'thinking', data\r\n\r\n # Valid field but wrong value\r\n res = self.app.get(url + \"?short_name=wrongvalue\")\r\n data = json.loads(res.data)\r\n assert len(data) == 0, data\r\n\r\n # Multiple fields\r\n res = self.app.get(url + '?short_name=thinking&name=thinking')\r\n data = json.loads(res.data)\r\n # One result\r\n assert len(data) == 1, data\r\n # Correct result\r\n assert data[0]['short_name'] == 'thinking', data\r\n assert data[0]['name'] == 'thinking', data\r\n\r\n # Limits\r\n res = self.app.get(url + \"?limit=1\")\r\n data = json.loads(res.data)\r\n for item in data:\r\n assert item['short_name'] == 'thinking', item\r\n assert len(data) == 1, data\r\n\r\n # Errors\r\n res = self.app.get(url + \"?something\")\r\n err = json.loads(res.data)\r\n err_msg = \"AttributeError exception should be raised\"\r\n res.status_code == 415, err_msg\r\n assert res.status_code == 415, err_msg\r\n assert err['action'] == 'GET', err_msg\r\n assert err['status'] == 'failed', err_msg\r\n assert err['exception_cls'] == 'AttributeError', err_msg","def test_put_category(self):\n self.assertEqual(Project.objects.count(), 2)\n\n url = reverse(\n 'projectroles:api_project_update',\n kwargs={'project': self.category.sodar_uuid},\n )\n put_data = {\n 'title': UPDATED_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': '',\n 'description': UPDATED_DESC,\n 'readme': UPDATED_README,\n 'public_guest_access': False,\n }\n response = self.request_knox(url, method='PUT', data=put_data)\n\n self.assertEqual(response.status_code, 200, msg=response.content)\n self.assertEqual(Project.objects.count(), 2)\n\n self.category.refresh_from_db()\n model_dict = model_to_dict(self.category)\n model_dict['readme'] = model_dict['readme'].raw\n expected = {\n 'id': self.category.pk,\n 'title': UPDATED_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': None,\n 'description': UPDATED_DESC,\n 'readme': UPDATED_README,\n 'public_guest_access': False,\n 'archive': False,\n 'full_title': UPDATED_TITLE,\n 'has_public_children': False,\n 'sodar_uuid': self.category.sodar_uuid,\n }\n self.assertEqual(model_dict, expected)\n\n expected = {\n 'title': UPDATED_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': None,\n 'description': UPDATED_DESC,\n 'readme': UPDATED_README,\n 'public_guest_access': False,\n 'archive': False,\n 'roles': {\n str(self.category.get_owner().sodar_uuid): {\n 'role': PROJECT_ROLE_OWNER,\n 'user': self.get_serialized_user(self.user_owner_cat),\n 'inherited': False,\n 'sodar_uuid': str(self.category.get_owner().sodar_uuid),\n }\n },\n 'sodar_uuid': str(self.category.sodar_uuid),\n }\n self.assertEqual(json.loads(response.content), expected)","def test_add_category_success(self):\n category = json.dumps({\n 'name': 'Asian',\n })\n response = self.client.post('/category', data=category,\n headers={\"Authorization\": self.token})\n self.assertEqual(response.status_code, 201)\n self.assertIn('asian', response.data.decode())","def test_get_categories(self):\n pass","def test_create_category(self):\n self.assertEqual(Project.objects.count(), 2)\n\n url = reverse('projectroles:api_project_create')\n post_data = {\n 'title': NEW_CATEGORY_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': '',\n 'description': 'description',\n 'readme': 'readme',\n 'public_guest_access': False,\n 'owner': str(self.user.sodar_uuid),\n }\n response = self.request_knox(url, method='POST', data=post_data)\n\n self.assertEqual(response.status_code, 201, msg=response.content)\n self.assertEqual(Project.objects.count(), 3)\n # Assert object content\n new_category = Project.objects.get(title=NEW_CATEGORY_TITLE)\n model_dict = model_to_dict(new_category)\n model_dict['readme'] = model_dict['readme'].raw\n expected = {\n 'id': new_category.pk,\n 'title': new_category.title,\n 'type': new_category.type,\n 'parent': None,\n 'description': new_category.description,\n 'readme': new_category.readme.raw,\n 'public_guest_access': False,\n 'archive': False,\n 'full_title': new_category.title,\n 'has_public_children': False,\n 'sodar_uuid': new_category.sodar_uuid,\n }\n self.assertEqual(model_dict, expected)\n # Assert role assignment\n self.assertEqual(\n RoleAssignment.objects.filter(\n project=new_category, user=self.user, role=self.role_owner\n ).count(),\n 1,\n )\n # Assert API response\n expected = {\n 'title': NEW_CATEGORY_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': None,\n 'description': new_category.description,\n 'readme': new_category.readme.raw,\n 'public_guest_access': False,\n 'sodar_uuid': str(new_category.sodar_uuid),\n }\n self.assertEqual(json.loads(response.content), expected)","def setUpTestData(cls):\n Product_type.objects.create(\n name='New_Product', display_name='New Product.')","def sample_category(name='place'):\n return Category.objects.create(name=name)","def test_products_basic(self):\n self.assertEqual(self.cat1.name, 'meat')\n self.assertEqual(self.cat1.slug, 'meat')\n self.assertEqual(self.cat1.description, 'The meat category.')\n self.assertIsNone(self.cat1.parent)\n\n self.assertEqual(len(self.product1.categories.all()), 1)\n self.assertEqual(self.product1.categories.all()[0], self.cat1)\n self.assertEqual(self.product1.name, 'Chicken Breast')\n self.assertEqual(self.product1.slug, 'chicken-breast')\n self.assertIn('product1_img', self.product1.main_image.image.name)\n self.assertEqual(self.product1.description, \n 'Chicken breast. Yes, chicken breast.')\n self.assertEqual(self.product1.stock, 120)\n self.assertTrue(self.product1.available)\n\n self.assertEqual(self.product1.main_image_url, \n self.product1.main_image.image.url,\n '\\'main_image_url\\' shorthand in Product model did not match the ' \n 'actual main image url')\n \n # Test adding multiple categories to a product \n high_protein = self.product1.categories.create(name='high protein',\n slug='high-protein',\n description='Hight protein foods.',\n parent=self.cat1)\n\n self.assertEqual(len(self.product1.categories.all()), 2)\n self.assertIn(high_protein, self.product1.categories.all())\n self.assertEqual(high_protein.parent, self.cat1)\n\n # Test __str()__ returns expected name\n self.assertEqual(str(self.product1), 'Chicken Breast')\n self.assertEqual(str(self.cat1), 'meat')\n\n # Make sure the urls are returned correctly\n self.assertEqual(self.product1.get_absolute_url(), \n reverse('products:product_detail', \n kwargs= {'slug': self.product1.slug}))","def test_retrieve_categories(self):\n sample_category()\n sample_category(name=\"people\")\n res = self.client.get(CATEGORY_URL)\n categories = Category.objects.all()\n serializer = CategorySerializer(categories, many=True)\n self.assertEqual(res.status_code, status.HTTP_200_OK)\n self.assertEqual(len(res.data), 2)\n self.assertEqual(len(res.data), len(serializer.data))\n self.assertEqual(res.data, serializer.data)","def test_new_attribute_data(db_session):\n new_att = Attribute(\n label=\"test_label\",\n desc=\"test_desc\"\n )\n db_session.add(new_att)\n att = db_session.query(Attribute).all()\n assert att[0].label == \"test_label\"\n assert att[0].desc == \"test_desc\"","def test_categories_add(self):\n categories = [category.category for category in self.note.categories.all()]\n self.assertIn('test', categories)\n self.assertNotIn('note', categories)","def test_category_field(self):\n field = self.record.find('field[@name=\\'category_id\\']')\n self.assertEqual(field.attrib['eval'],\n '[(4, ref(\\'nh_clinical.role_nhc_admin\\'))]',\n 'Incorrect eval on category id')","def test_delete_category(self):\n pass","def test_save(self, init_db, category1):\n params = {\n 'title' : fake.alphanumeric(15),\n 'description' : fake.alphanumeric(200),\n 'ranking' : 1,\n 'meta_data' : {\n 'color' : 'red',\n 'quantity' : 2,\n 'date_purchased' : '2019-02-05',\n 'condition' : 'bad'\n },\n 'category_id' : category1.id\n }\n\n favorite = Favorite(**params)\n assert favorite == favorite.save()","def test_edit_category(self):\n rv = self.client().post(\n '/categories/',\n data={'category_name': 'Sauces'})\n self.assertEqual(rv.status_code, 201)\n rv = self.client().put(\n '/categories/1',\n data={\n \"name\": \"Soups and Sauces\"\n })\n #self.assertEqual(rv.status_code, 200)\n results = self.client().get('/categories/1')\n #self.assertIn('Soups and', str(results.data))","def test_create_category_nested(self):\n self.assertEqual(Project.objects.count(), 2)\n\n url = reverse('projectroles:api_project_create')\n post_data = {\n 'title': NEW_CATEGORY_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': str(self.category.sodar_uuid),\n 'description': 'description',\n 'readme': 'readme',\n 'public_guest_access': False,\n 'owner': str(self.user.sodar_uuid),\n }\n response = self.request_knox(url, method='POST', data=post_data)\n\n self.assertEqual(response.status_code, 201, msg=response.content)\n self.assertEqual(Project.objects.count(), 3)\n new_category = Project.objects.get(title=NEW_CATEGORY_TITLE)\n model_dict = model_to_dict(new_category)\n model_dict['readme'] = model_dict['readme'].raw\n expected = {\n 'id': new_category.pk,\n 'title': new_category.title,\n 'type': new_category.type,\n 'parent': self.category.pk,\n 'description': new_category.description,\n 'readme': new_category.readme.raw,\n 'public_guest_access': False,\n 'archive': False,\n 'full_title': self.category.title + ' / ' + new_category.title,\n 'has_public_children': False,\n 'sodar_uuid': new_category.sodar_uuid,\n }\n self.assertEqual(model_dict, expected)\n self.assertEqual(\n RoleAssignment.objects.filter(\n project=new_category, user=self.user, role=self.role_owner\n ).count(),\n 1,\n )\n expected = {\n 'title': NEW_CATEGORY_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': str(self.category.sodar_uuid),\n 'description': new_category.description,\n 'readme': new_category.readme.raw,\n 'public_guest_access': False,\n 'sodar_uuid': str(new_category.sodar_uuid),\n }\n self.assertEqual(json.loads(response.content), expected)","def test_create_product_successful(self):\n \n ProductCategory.objects.create(name=\"test name\", description=\"new name\")\n test_key = ProductCategory.objects.values()[0]\n # print(test_key)\n payload = {\n 'name': 'Test Tag',\n 'product_category_id': test_key.get('id'),\n 'unit_price': 100,\n 'quantity': 12,\n 'description': 'Test description'\n }\n \n res = self.client.post(PRODUCT_ADD_URL, payload)\n\n # print(res.data)\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)","def test_23_admin_add_category(self):\r\n self.create()\r\n category = {'name': 'cat', 'short_name': 'cat',\r\n 'description': 'description'}\r\n # Anonymous user\r\n url = '/admin/categories'\r\n res = self.app.post(url, data=category, follow_redirects=True)\r\n dom = BeautifulSoup(res.data)\r\n err_msg = \"Anonymous users should be redirected to sign in\"\r\n assert dom.find(id='signin') is not None, err_msg\r\n\r\n # Authenticated user but not admin\r\n self.signin(email=self.email_addr2, password=self.password)\r\n res = self.app.post(url, data=category, follow_redirects=True)\r\n err_msg = \"Non-Admin users should get 403\"\r\n assert res.status_code == 403, err_msg\r\n self.signout()\r\n\r\n # Admin\r\n self.signin(email=self.root_addr, password=self.root_password)\r\n res = self.app.post(url, data=category, follow_redirects=True)\r\n err_msg = \"Category should be added\"\r\n assert \"Category added\" in res.data, err_msg\r\n assert category['name'] in res.data, err_msg\r\n\r\n category = {'name': 'cat', 'short_name': 'cat',\r\n 'description': 'description'}\r\n\r\n self.signin(email=self.root_addr, password=self.root_password)\r\n res = self.app.post(url, data=category, follow_redirects=True)\r\n err_msg = \"Category form validation should work\"\r\n assert \"Please correct the errors\" in res.data, err_msg","def test_valid_form(self):\n\n data = {'category': ['103','109'] }\n form = CategoriesForm(data=data)\n self.assertTrue(form.is_valid())","def test_photo_classification_view_set_post_category_update_not_allowed(self):\n # Test data\n user = account_models.User.objects.get(email='mrtest@mypapaya.io')\n photo_models.PhotoClassification.objects.create_or_update(name='night', classification_type='category')\n\n # Simulate auth\n token = test_helpers.get_token_for_user(user)\n\n # Get data from endpoint\n client = APIClient()\n client.credentials(HTTP_AUTHORIZATION='Token ' + token)\n\n payload = {\n 'name': 'Night',\n 'classification_type': 'category'\n }\n\n request = client.post('/api/photo_classifications', data=payload, format='json')\n\n self.assertEquals(request.status_code, 400)\n\n # Query for entry as well\n classifications = photo_models.PhotoClassification.objects.all()\n\n self.assertEquals(len(classifications), 12)","def test_edit_category(self):\n response = self.client.put('/api/v1/category/1',\n data=json.dumps(category[3]),\n content_type='application/json',\n headers=self.admin_headers)\n self.assertEqual(response.status_code, 201)\n self.assertIn('Apparels', str(response.data))","def test_add_category_integer_name(self):\n category = json.dumps({\n 'name': 8888,\n })\n response = self.client.post('/category', data=category,\n headers={\"Authorization\": self.token})\n self.assertEqual(response.status_code, 400)\n self.assertIn('Numbers cant be a Name', response.data.decode())","def test_add_category_to_product(self):\n login = self.autheniticate()\n token = json.loads(login.data.decode()).get('token')\n self.app.post(product_url,\n data=json.dumps(self.product_data),\n headers=dict(Authorization=\"Bearer \" + token),\n content_type='application/json')\n self.app.post(category_url,\n data=json.dumps(self.data),\n headers=dict(Authorization=\"Bearer \" + token),\n content_type='application/json')\n res = self.app.post(productcategory_url,\n headers=dict(Authorization=\"Bearer \" + token),\n content_type='application/json')\n res1 = json.loads(res.data.decode())\n self.assertEqual(res1['status'], 'Updated!')\n self.assertEqual(res.status_code, 200)","def test_category_url(self):\n data = self.data1\n # response = self.client.post(\n # reverse('recipe:category_list', args=[data.slug]))\n # self.assertEqual(response.status_code, 200)\n self.assertTrue(isinstance(data, Category))","def fill_in(self,category):\r\n api_json = JsonFromApi(category)\r\n extracted_data = ExtractFromJson(api_json.get_json())\r\n self.fill_in_db = DatabaseUpdator(\r\n extracted_data.extract_json(), self.mydb)\r\n self.fill_in_db.table_product_update()\r\n self.fill_in_db.table_category_update()","def test_books_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data,Books))","def test_category(self, category):\n\n importable = False\n try:\n Categories.objects.get(\n name=category['id'].split(':')[1]\n )\n except Categories.DoesNotExist:\n importable = True\n except:\n importable = False\n\n return importable","def test_project_category_creation(self):\n name = 'A project category name'\n description = 'A project category description'\n project_category = self.create_project_category(\n name=name,\n description=description,\n )\n self.assertTrue(isinstance(project_category, ProjectCategory))\n self.assertEqual(project_category.__str__(), project_category.name)\n self.assertEqual(project_category.name, name)\n self.assertEqual(project_category.description, description)","def test_get_category_details(self):\n category = sample_category()\n url = category_details_url(category.id)\n res = self.client.get(url)\n serializer = CategorySerializer(category)\n self.assertEqual(res.status_code, status.HTTP_200_OK)\n self.assertEqual(res.data, serializer.data)","def test_add_missing_field(self):\n response = self.client.post('/api/v1/categories',\n data=json.dumps(category[1]),\n content_type='application/json',\n headers=self.admin_headers)\n self.assertEqual(response.status_code, 400)\n self.assertIn('Missing required parameter', str(response.data))","def test_photo_classification_view_set_post_tag_category_exists(self):\n # Test data\n user = account_models.User.objects.get(email='mrtest@mypapaya.io')\n photo_models.PhotoClassification.objects.create_or_update(name='night', classification_type='category')\n\n # Simulate auth\n token = test_helpers.get_token_for_user(user)\n\n # Get data from endpoint\n client = APIClient()\n client.credentials(HTTP_AUTHORIZATION='Token ' + token)\n\n payload = {\n 'name': 'Night',\n 'classification_type': 'tag'\n }\n\n request = client.post('/api/photo_classifications', data=payload, format='json')\n result = request.data\n\n self.assertEquals(result['name'], 'Night')\n self.assertEquals(result['classification_type'], 'tag')\n\n # Query for entry as well\n classifications = photo_models.PhotoClassification.objects.all()\n\n self.assertEquals(len(classifications), 13)","def test_view_categories(self):\n res = self.client().post('/categories/', data=self.category)\n self.assertEqual(res.status_code, 201)\n res = self.client().get('/categories/')\n self.assertEqual(res.status_code, 200)\n self.assertIn('Stews', str(res.data))","def test_create_drug_successful(self):\n generic = models.Generic.objects.create(\n generic_name=\"Lisinopril\"\n )\n print(type(generic))\n drug = models.Drug.objects.create(\n product_id='12345',\n generic_name=generic,\n product_ndc=\"99999-9999\",\n brand_name=\"Zestril\"\n )\n\n self.assertEqual(str(drug), f\"{drug.product_id} {drug.product_ndc}\")","def test_create(self):\n self.assertEqual(Product.objects.count(), 2)\n payload = {\n 'name': 'New product',\n 'category': self.category_1.id,\n 'sku': '11111111',\n 'description': 'New product description',\n 'price': 39.99\n }\n\n headers = {\n 'HTTP_AUTHORIZATION': 'Token ' + str(self.token_admin)\n }\n response = self.client.post(\n '/api/products/', data=payload, content_type='application/json', **headers)\n self.assertEqual(response.status_code, 201)\n self.assertEqual(response['Content-Type'], 'application/json')\n self.assertEqual(Product.objects.count(), 3)\n\n product = Product.objects.get(name='New product')\n self.assertEqual(product.name, 'New product')\n self.assertEqual(product.category, self.category_1)\n self.assertEqual(product.sku, '11111111')\n self.assertEqual(product.description, 'New product description')\n self.assertEqual(float(product.price), 39.99)","def test_up_assign_categories(self):\n self.go200('minus_upload')\n self.formfile('minus_upload', 'file', AUDIO_FILE)\n self.fv('minus_upload', 'categories', 'onecat')\n self.submit200()\n minus = MinusRecord.objects.all()[0]\n self.url('minus_detail', [minus.author, minus.id])\n self.assert_equal(minus.categories.count(), 1)\n self.assert_equal(minus.categories.all()[0].name, 'onecat')","def test_get_category_forms(self):\n self.get_add_form()\n self.get_edit_form(self.test_data['pants'])\n self.get_delete_confirmation_form(self.test_data['shirts'])","def test_can_create_job_category(self):\n\t\tself.job_category.save()\n\t\tjob_category_instance = JobCategory.objects.get(pk=1)\n\t\tself.assertEqual(\n\t\t\tself.category,\n\t\t\tjob_category_instance.category,\n\t\t\t\"Job categories don't match.\"\n\t\t)","def test_prep_new_data(self):\n pass","def test_recipe_model(self):\n recipe = Recipe(uri=\"testuri\", name=\"testname\", image_url=\"test_image_url\")\n\n db.session.add(recipe)\n db.session.commit()\n\n recipes = Recipe.query.all()\n\n self.assertEqual(len(recipes), 1)\n self.assertEqual(recipes[0].uri, \"testuri\")\n self.assertEqual(recipes[0].name, \"testname\")\n self.assertEqual(recipes[0].image_url, \"test_image_url\")","def test_category_post(self):\r\n admin = UserFactory.create()\r\n user = UserFactory.create()\r\n name = u'Category'\r\n category = dict(\r\n name=name,\r\n short_name='category',\r\n description=u'description')\r\n data = json.dumps(category)\r\n # no api-key\r\n url = '/api/category'\r\n res = self.app.post(url, data=data)\r\n err = json.loads(res.data)\r\n err_msg = 'Should not be allowed to create'\r\n assert res.status_code == 401, err_msg\r\n assert err['action'] == 'POST', err_msg\r\n assert err['exception_cls'] == 'Unauthorized', err_msg\r\n\r\n # now a real user but not admin\r\n res = self.app.post(url + '?api_key=' + user.api_key, data=data)\r\n err = json.loads(res.data)\r\n err_msg = 'Should not be allowed to create'\r\n assert res.status_code == 403, err_msg\r\n assert err['action'] == 'POST', err_msg\r\n assert err['exception_cls'] == 'Forbidden', err_msg\r\n\r\n # now as an admin\r\n res = self.app.post(url + '?api_key=' + admin.api_key,\r\n data=data)\r\n err = json.loads(res.data)\r\n err_msg = 'Admin should be able to create a Category'\r\n assert res.status_code == 200, err_msg\r\n cat = db.session.query(Category)\\\r\n .filter_by(short_name=category['short_name']).first()\r\n assert err['id'] == cat.id, err_msg\r\n assert err['name'] == category['name'], err_msg\r\n assert err['short_name'] == category['short_name'], err_msg\r\n assert err['description'] == category['description'], err_msg\r\n\r\n # test re-create should fail\r\n res = self.app.post(url + '?api_key=' + admin.api_key,\r\n data=data)\r\n err = json.loads(res.data)\r\n assert res.status_code == 415, err\r\n assert err['status'] == 'failed', err\r\n assert err['action'] == 'POST', err\r\n assert err['exception_cls'] == \"IntegrityError\", err\r\n\r\n # test create with non-allowed fields should fail\r\n data = dict(name='fail', short_name='fail', wrong=15)\r\n res = self.app.post(url + '?api_key=' + admin.api_key,\r\n data=data)\r\n err = json.loads(res.data)\r\n err_msg = \"ValueError exception should be raised\"\r\n assert res.status_code == 415, err\r\n assert err['action'] == 'POST', err\r\n assert err['status'] == 'failed', err\r\n assert err['exception_cls'] == \"ValueError\", err_msg\r\n # Now with a JSON object but not valid\r\n data = json.dumps(data)\r\n res = self.app.post(url + '?api_key=' + user.api_key,\r\n data=data)\r\n err = json.loads(res.data)\r\n err_msg = \"TypeError exception should be raised\"\r\n assert err['action'] == 'POST', err_msg\r\n assert err['status'] == 'failed', err_msg\r\n assert err['exception_cls'] == \"TypeError\", err_msg\r\n assert res.status_code == 415, err_msg\r\n\r\n # test update\r\n data = {'name': 'My New Title'}\r\n datajson = json.dumps(data)\r\n ## anonymous\r\n res = self.app.put(url + '/%s' % cat.id,\r\n data=data)\r\n error_msg = 'Anonymous should not be allowed to update'\r\n assert_equal(res.status, '401 UNAUTHORIZED', error_msg)\r\n error = json.loads(res.data)\r\n assert error['status'] == 'failed', error\r\n assert error['action'] == 'PUT', error\r\n assert error['exception_cls'] == 'Unauthorized', error\r\n\r\n ### real user but not allowed as not admin!\r\n url = '/api/category/%s?api_key=%s' % (cat.id, user.api_key)\r\n res = self.app.put(url, data=datajson)\r\n error_msg = 'Should not be able to update apps of others'\r\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\r\n error = json.loads(res.data)\r\n assert error['status'] == 'failed', error\r\n assert error['action'] == 'PUT', error\r\n assert error['exception_cls'] == 'Forbidden', error\r\n\r\n # Now as an admin\r\n res = self.app.put('/api/category/%s?api_key=%s' % (cat.id, admin.api_key),\r\n data=datajson)\r\n assert_equal(res.status, '200 OK', res.data)\r\n out2 = db.session.query(Category).get(cat.id)\r\n assert_equal(out2.name, data['name'])\r\n out = json.loads(res.data)\r\n assert out.get('status') is None, error\r\n assert out.get('id') == cat.id, error\r\n\r\n # With fake data\r\n data['algo'] = 13\r\n datajson = json.dumps(data)\r\n res = self.app.put('/api/category/%s?api_key=%s' % (cat.id, admin.api_key),\r\n data=datajson)\r\n err = json.loads(res.data)\r\n assert res.status_code == 415, err\r\n assert err['status'] == 'failed', err\r\n assert err['action'] == 'PUT', err\r\n assert err['exception_cls'] == 'TypeError', err\r\n\r\n # With not JSON data\r\n datajson = data\r\n res = self.app.put('/api/category/%s?api_key=%s' % (cat.id, admin.api_key),\r\n data=datajson)\r\n err = json.loads(res.data)\r\n assert res.status_code == 415, err\r\n assert err['status'] == 'failed', err\r\n assert err['action'] == 'PUT', err\r\n assert err['exception_cls'] == 'ValueError', err\r\n\r\n # With wrong args in the URL\r\n data = dict(\r\n name='Category3',\r\n short_name='category3',\r\n description=u'description3')\r\n\r\n datajson = json.dumps(data)\r\n res = self.app.put('/api/category/%s?api_key=%s&search=select1' % (cat.id, admin.api_key),\r\n data=datajson)\r\n err = json.loads(res.data)\r\n assert res.status_code == 415, err\r\n assert err['status'] == 'failed', err\r\n assert err['action'] == 'PUT', err\r\n assert err['exception_cls'] == 'AttributeError', err\r\n\r\n # test delete\r\n ## anonymous\r\n res = self.app.delete(url + '/%s' % cat.id, data=data)\r\n error_msg = 'Anonymous should not be allowed to delete'\r\n assert_equal(res.status, '401 UNAUTHORIZED', error_msg)\r\n error = json.loads(res.data)\r\n assert error['status'] == 'failed', error\r\n assert error['action'] == 'DELETE', error\r\n assert error['target'] == 'category', error\r\n ### real user but not admin\r\n url = '/api/category/%s?api_key=%s' % (cat.id, user.api_key)\r\n res = self.app.delete(url, data=datajson)\r\n error_msg = 'Should not be able to delete apps of others'\r\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\r\n error = json.loads(res.data)\r\n assert error['status'] == 'failed', error\r\n assert error['action'] == 'DELETE', error\r\n assert error['target'] == 'category', error\r\n\r\n # As admin\r\n url = '/api/category/%s?api_key=%s' % (cat.id, admin.api_key)\r\n res = self.app.delete(url, data=datajson)\r\n\r\n assert_equal(res.status, '204 NO CONTENT', res.data)\r\n\r\n # delete a category that does not exist\r\n url = '/api/category/5000?api_key=%s' % admin.api_key\r\n res = self.app.delete(url, data=datajson)\r\n error = json.loads(res.data)\r\n assert res.status_code == 404, error\r\n assert error['status'] == 'failed', error\r\n assert error['action'] == 'DELETE', error\r\n assert error['target'] == 'category', error\r\n assert error['exception_cls'] == 'NotFound', error\r\n\r\n # delete a category that does not exist\r\n url = '/api/category/?api_key=%s' % admin.api_key\r\n res = self.app.delete(url, data=datajson)\r\n assert res.status_code == 404, error","def test_category_addition(self):\n login = self.autheniticate()\n token = json.loads(login.data.decode()).get('token')\n res = self.app.post(category_url,\n data=json.dumps(self.data),\n headers=dict(Authorization=\"Bearer \" + token),\n content_type='application/json')\n res1 = json.loads(res.data.decode())\n self.assertEqual(res1['status'], 'Success!')\n self.assertEqual(res.status_code, 201)","def test_patch_category(self):\n self.assertEqual(Project.objects.count(), 2)\n\n url = reverse(\n 'projectroles:api_project_update',\n kwargs={'project': self.category.sodar_uuid},\n )\n patch_data = {\n 'title': UPDATED_TITLE,\n 'description': UPDATED_DESC,\n 'readme': UPDATED_README,\n }\n response = self.request_knox(url, method='PATCH', data=patch_data)\n\n self.assertEqual(response.status_code, 200, msg=response.content)\n self.assertEqual(Project.objects.count(), 2)\n\n self.category.refresh_from_db()\n model_dict = model_to_dict(self.category)\n model_dict['readme'] = model_dict['readme'].raw\n expected = {\n 'id': self.category.pk,\n 'title': UPDATED_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': None,\n 'description': UPDATED_DESC,\n 'readme': UPDATED_README,\n 'public_guest_access': False,\n 'archive': False,\n 'full_title': UPDATED_TITLE,\n 'has_public_children': False,\n 'sodar_uuid': self.category.sodar_uuid,\n }\n self.assertEqual(model_dict, expected)\n self.assertEqual(self.category.get_owner().user, self.user_owner_cat)\n\n expected = {\n 'title': UPDATED_TITLE,\n 'type': PROJECT_TYPE_CATEGORY,\n 'parent': None,\n 'description': UPDATED_DESC,\n 'readme': UPDATED_README,\n 'public_guest_access': False,\n 'archive': False,\n 'roles': {\n str(self.category.get_owner().sodar_uuid): {\n 'role': PROJECT_ROLE_OWNER,\n 'user': self.get_serialized_user(self.user_owner_cat),\n 'inherited': False,\n 'sodar_uuid': str(self.category.get_owner().sodar_uuid),\n }\n },\n 'sodar_uuid': str(self.category.sodar_uuid),\n }\n self.assertEqual(json.loads(response.content), expected)","def test_cat_says(self):\n cat = models.Cat(name='Garfield')\n self.assertEqual(cat.says(), 'meow')","def test_create_new_recipe(self):\n payload = {\n 'title': 'Cheescake',\n 'time_taken': 35,\n 'price': 5\n }\n\n res = self.client.post(RECIPE_URL, payload)\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\n\n recipe = Recipe.objects.get(id=res.data['id'])\n for key in payload.keys():\n self.assertEqual((payload)[key], getattr(recipe, key))\n\n # recipe = get_sample_recipe(self.sample_user)\n # db_recipe =\n\n # self.assertEqual(recipe.title, )","def test_create_category_with_existing_name(self):\n sample_category()\n res = self.client.post(CATEGORY_URL, {\"name\": \"place\"})\n self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertEqual(\n res.data['errors']['name'][0],\n 'This field must be unique.')","def add_categorization(item_uuid, category_name, category_type):\n try:\n record_to_insert = (item_uuid, category_name, category_type)\n cursor = db.get_cursor()\n cursor.execute('INSERT INTO categorization VALUES (%s, %s, %s);', record_to_insert)\n db.get_db().commit()\n\n return {'row_count': cursor.rowcount, 'status': 'Record inserted successfuly into categorization table', 'error': ''}\n except (Exception, psycopg2.Error) as error:\n return {'row_count': 0, \"status\": \"error\", \"error\": error}","def test_add_relation_type(self):\n pass","def test_create_post(self):\n self.test_category = Category.objects.create(name='django')\n self.testuser1 = User.objects.create_superuser(\n username='test_user1', password='123456789')\n # self.testuser1.is_staff = True\n\n self.client.login(username=self.testuser1.username,\n password='123456789')\n\n data = {\"title\": \"new\", \"author\": 1,\n \"excerpt\": \"new\", \"content\": \"new\"}\n url = reverse('blog_api:listcreate')\n response = self.client.post(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)","def setUp(self):\n db.drop_all()\n db.create_all()\n\n self.uid = 1000\n # create category \n cat = Category.retrieve_or_add('Business')\n self.cat = cat\n # create user \n u = User.signup('testuser', 'test@test.com', 'password', cat.id)\n u.id = self.uid\n db.session.commit()\n\n self.u = User.query.get(self.uid)","def test_photo_classification_view_set_post_category_not_allowed(self):\n # Test data\n user = account_models.User.objects.get(email='mrtest@mypapaya.io')\n\n # Simulate auth\n token = test_helpers.get_token_for_user(user)\n\n # Get data from endpoint\n client = APIClient()\n client.credentials(HTTP_AUTHORIZATION='Token ' + token)\n\n payload = {\n 'name': 'Night',\n 'classification_type': 'category'\n }\n\n request = client.post('/api/photo_classifications', data=payload, format='json')\n\n self.assertEquals(request.status_code, 400)\n\n # Query for entry as well\n classifications = photo_models.PhotoClassification.objects.all()\n\n self.assertEquals(len(classifications), 11)","def setUp(self):\n fun = Category(name=\"funny\")\n fun.save()\n lagos = Location(name=\"Lagos\")\n lagos.save()\n self.new_image = Pics(\n name=\"image\", description=\"h\", location=lagos, category=fun)","def categories(data):\n if data:\n for i in data:\n category = CategoriesModel(categories=i['categories'])\n category.save()","def test_product_fields(self):\n\n prd = Product.objects.get(id=1)\n\n # test the type of name field\n prd_type = prd._meta.get_field('name').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label name\n max_length = prd._meta.get_field('name').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label name\n prd_blank = prd._meta.get_field('name').blank\n self.assertTrue(prd_blank)\n # test null field in label name\n prd_null = prd._meta.get_field('name').null\n self.assertTrue(prd_null)\n\n # test the type of description field\n prd_type = prd._meta.get_field('description').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label description\n max_length = prd._meta.get_field('description').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label description\n prd_blank = prd._meta.get_field('description').blank\n self.assertTrue(prd_blank)\n # test null field in label description\n prd_null = prd._meta.get_field('description').null\n self.assertTrue(prd_null)\n\n # test the type of nutrition_grade field\n prd_type = prd._meta.get_field('nutrition_grade').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label nutrition_grade\n max_length = prd._meta.get_field('nutrition_grade').max_length\n self.assertEqual(max_length, 1)\n # test blank field in label nutrition_grade\n prd_blank = prd._meta.get_field('nutrition_grade').blank\n self.assertTrue(prd_blank)\n # test null field in label nutrition_grade\n prd_null = prd._meta.get_field('nutrition_grade').null\n self.assertTrue(prd_null)\n\n # test the type of barcode field\n prd_type = prd._meta.get_field('barcode').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label barcode\n max_length = prd._meta.get_field('barcode').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label barcode\n prd_blank = prd._meta.get_field('barcode').blank\n self.assertFalse(prd_blank)\n # test null field in label barcode\n prd_null = prd._meta.get_field('barcode').null\n self.assertFalse(prd_null)\n\n # test the type of url field\n prd_type = prd._meta.get_field('url').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label url\n max_length = prd._meta.get_field('url').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label url\n prd_blank = prd._meta.get_field('url').blank\n self.assertTrue(prd_blank)\n # test null field in label url\n prd_null = prd._meta.get_field('url').null\n self.assertTrue(prd_null)\n\n # test the type of url_pic field\n prd_type = prd._meta.get_field('url_pic').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label url_pic\n max_length = prd._meta.get_field('url_pic').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label url_pic\n prd_blank = prd._meta.get_field('url_pic').blank\n self.assertTrue(prd_blank)\n # test null field in label url_pic\n prd_null = prd._meta.get_field('url_pic').null\n self.assertTrue(prd_null)\n\n # test the type of store field\n prd_type = prd._meta.get_field('store').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label store\n max_length = prd._meta.get_field('store').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label store\n prd_blank = prd._meta.get_field('store').blank\n self.assertTrue(prd_blank)\n # test null field in label store\n prd_null = prd._meta.get_field('store').null\n self.assertTrue(prd_null)\n\n # test the type of fat field\n prd_type = prd._meta.get_field('fat').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label fat max digits\n max_digits = prd._meta.get_field('fat').max_digits\n self.assertEqual(max_digits, 5)\n # label fat decimal places\n dec_places = prd._meta.get_field('fat').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label fat\n prd_blank = prd._meta.get_field('fat').blank\n self.assertTrue(prd_blank)\n # test null field in label fat\n prd_null = prd._meta.get_field('fat').null\n self.assertTrue(prd_null)\n\n # test the type of saturated_fat field\n prd_type = prd._meta.get_field('saturated_fat').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label saturated_fat max digits\n max_digits = prd._meta.get_field('saturated_fat').max_digits\n self.assertEqual(max_digits, 5)\n # label saturated_fat decimal places\n dec_places = prd._meta.get_field('saturated_fat').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label saturated_fat\n prd_blank = prd._meta.get_field('saturated_fat').blank\n self.assertTrue(prd_blank)\n # test null field in label saturated_fat\n prd_null = prd._meta.get_field('saturated_fat').null\n self.assertTrue(prd_null)\n\n # test the type of sugar field\n prd_type = prd._meta.get_field('sugar').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label sugar max digits\n max_digits = prd._meta.get_field('sugar').max_digits\n self.assertEqual(max_digits, 5)\n # label sugar decimal places\n dec_places = prd._meta.get_field('sugar').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label sugar\n prd_blank = prd._meta.get_field('sugar').blank\n self.assertTrue(prd_blank)\n # test null field in label sugar\n prd_null = prd._meta.get_field('sugar').null\n self.assertTrue(prd_null)\n\n # test the type of salt\n prd_type = prd._meta.get_field('salt').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label salt max digits\n max_digits = prd._meta.get_field('salt').max_digits\n self.assertEqual(max_digits, 5)\n # label salt decimal places\n dec_places = prd._meta.get_field('salt').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label salt\n prd_blank = prd._meta.get_field('salt').blank\n self.assertTrue(prd_blank)\n # test null field in label salt\n prd_null = prd._meta.get_field('salt').null\n self.assertTrue(prd_null)\n\n # test the type of prd_cat\n prd_type = prd._meta.get_field('prd_cat').get_internal_type()\n self.assertEqual(prd_type, 'ForeignKey')\n # label db_column\n fk = prd._meta.get_field('prd_cat').db_column\n self.assertEqual(fk, 'prd_cat')\n # test blank field in label prd_cat\n prd_blank = prd._meta.get_field('prd_cat').blank\n self.assertFalse(prd_blank)\n # test null field in label prd_cat\n prd_null = prd._meta.get_field('prd_cat').null\n self.assertFalse(prd_null)\n\n # Favourite table ----------------------------------------------------","def test_add_relation_types(self):\n pass","def test_Product(self):\n self.assertEquals(self.prod_1.pk, 1)\n self.assertEquals(self.prod_1.ean, '3350033118072')\n self.assertEquals(self.prod_1.name, 'test 1')\n self.assertEquals(self.prod_1.nutriscore, 'u')\n self.assertEquals(self.prod_1.category, 'cat 1')","def attribute(self, data, model, model_name):","def test_create_category_with_invalid_details_fails(self):\n res = self.client.post(CATEGORY_URL, {})\n self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertEqual(\n res.data['errors']['name'][0],\n 'This field is required.')","def test_attr(self):\n self.assertTrue(hasattr(self.amenity, \"created_at\"))\n self.assertTrue(hasattr(self.amenity, \"id\"))\n self.assertTrue(hasattr(self.amenity, \"updated_at\"))\n self.assertFalse(hasattr(self.amenity, \"random_attr\"))\n self.assertTrue(hasattr(self.amenity, \"name\"))\n self.assertEqual(self.amenity.__class__.__name__, \"Amenity\")\n self.assertEqual(self.amenity.name, \"\")","def _testRatingCategories(self):\n\n\n try:\n user = auth.User.objects.all()[0]\n category = models.Category.objects.all()[0]\n host = models.Host(user=user, category=category,\n url='http://blah.com')\n host.save()\n\n comment = models.Comment(text='test', host=host)\n comment.save()\n\n types = models.RatingType.objects.all()\n\n items = []\n for value, type in zip([3, 4, 5], types):\n tmp_obj = models.Rating(comment=comment, type=type, value=value)\n tmp_obj.save()\n items.append(tmp_obj)\n\n assert comment.rating() - 4.0 < .0001, comment.rating()\n\n comment2 = models.Comment(text='test', host=host)\n comment2.save()\n\n for value, type in zip([3, 3, 3], types):\n tmp_obj = models.Rating(comment=comment2, type=type, value=value)\n tmp_obj.save()\n items.append(tmp_obj)\n\n assert comment2.rating() - 3.0 < .0001, comment2.rating()\n\n assert host.rating() == 3.5, host.rating()\n\n ratings = host.ratings()\n assert ratings['Support'] == 3.5, ratings\n assert ratings['Features'] == 3.0\n assert ratings['Uptime'] == 4.0\n\n finally:\n try:\n for tmp_obj in items:\n tmp_obj.delete()\n \n comment.delete()\n comment2.delete()\n host.delete()\n except:\n pass","def test_model_can_create_a_film(self):\n self.assertEqual(self.film.title, \"test_a\")","def test_blank_category(self):\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\n self.login('Bo_theo5@example.com', 'Bo1995')\n rv = self.category('')\n self.assertIn(b'Field must be between 1 and 50 characters long.', rv.data)","def test_extract_categories():\n pass","def test_create(self):\n lvl = AcademicLevel.objects.create(\n name=\"random_academic_level\",\n )\n\n self.assertEqual(lvl.__str__(), \"random_academic_level\")"],"string":"[\n \"def test_category_model_entry(self):\\n data = self.data1\\n self.assertTrue(isinstance(data, Category))\\n self.assertEqual(str(data), 'django')\",\n \"def test_create_category(self):\\n pass\",\n \"def test_category_has_access_to_model_data():\\n category = Category()\\n category_data = category.get_category_data()\\n\\n assert type(category_data) is list\\n assert len(category_data) > 1\",\n \"def test_category_model_entry(self):\\n data = self.data1\\n self.assertEqual(str(data), 'django')\",\n \"def test_update_category(self):\\n pass\",\n \"def test_new_category_data(db_session):\\n new_cat = Category(\\n label=\\\"test_label\\\",\\n desc=\\\"test_desc\\\"\\n )\\n db_session.add(new_cat)\\n category = db_session.query(Category).all()\\n assert category[0].label == \\\"test_label\\\"\\n assert category[0].desc == \\\"test_desc\\\"\",\n \"def test_save(self, init_db):\\n params = {\\n 'name': fake.alphanumeric(15)\\n }\\n category = Category(**params)\\n assert category == category.save()\",\n \"def test_create_category(self):\\n payload = {\\n 'name': 'Houses',\\n }\\n res = self.client.post(CATEGORY_URL, payload)\\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\\n category = Category.objects.get(id=res.data['id'])\\n serializer = CategorySerializer(category)\\n self.assertEqual(serializer.data['name'], payload['name'])\",\n \"def test_category_save(database):\\n category = Category(title=\\\"Test Category\\\")\\n category.save()\\n\\n assert category.title == \\\"Test Category\\\"\",\n \"def test_create(self):\\n self.assertTrue(Category.objects.exists())\",\n \"def test_create_cat_object():\\n from .scripts.initializedb import create_cat_object\\n cat_object = create_cat_object(\\\"a\\\", \\\"b\\\", \\\"c\\\", \\\"c\\\")\\n assert isinstance(cat_object, Category)\",\n \"def test_model_string_representation(self, init_db, category):\\n assert repr(category) == f'<Category: {category.name}>'\",\n \"def test_add_category(self):\\n self.add_success(self.test_data['pants'])\",\n \"def test_add_category(self):\\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\\n self.login('Bo_theo5@example.com', 'Bo1995')\\n self.dashboard()\\n rv = self.category('Breakfast')\\n self.assertIn(b'Category created', rv.data)\",\n \"def test_create_recipe_category(self):\\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\\n self.login('Bo_theo5@example.com', 'Bo1995')\\n self.dashboard()\\n self.category('JunkFood')\\n self.dashboard()\\n self.recipe_dashboard()\\n rv = self.create_recipe('cakes', 'blah, blah, blah....mix ingredient, heat')\\n self.assertIn(b'Recipe created', rv.data)\",\n \"def test_create_category(self):\\n res = self.client().post('/categories/', data=self.category)\\n self.assertEqual(res.status_code, 201)\\n self.assertIn('Stews', str(res.data))\",\n \"def test_add_category_missing_fields(self):\\n category = json.dumps({\\n 'desc': \\\"Jamaican\\\",\\n })\\n response = self.client.post('/category', data=category,\\n headers={\\\"Authorization\\\": self.token})\\n self.assertEqual(response.status_code, 400)\\n self.assertIn('Check the keys and try again', response.data.decode())\",\n \"def test_edit_recipe_category(self):\\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\\n self.login('Bo_theo5@example.com', 'Bo1995')\\n self.dashboard()\\n self.category('JunkFood')\\n self.dashboard()\\n self.recipe_dashboard()\\n self.create_recipe('cakes', 'blah, blah, blah....mix ingredient, heat')\\n rv = self.edit_recipe('edited cakes', 'edited blah blah blah spoon , heat')\\n self.assertIn(b'Recipe successfully updated', rv.data)\",\n \"def test_category_lowercase(self):\\n self.assertEqual(self.category.category, \\\"test\\\")\",\n \"def test_update(self, init_db, category):\\n category_name = fake.alphanumeric()\\n category.update(name=category_name)\\n assert category.name == category_name\",\n \"def test_category_mixed(self):\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.fv('minus_upload', 'categories', 'onecat')\\n self.fv('minus_upload', 'add_category', 'yuppie')\\n self.submit200()\\n minus = MinusRecord.objects.all()[0]\\n self.assert_equal(minus.categories.count(), 2)\\n self.assert_equal(minus.categories.all()[0].name, 'onecat')\\n self.assert_equal(minus.categories.all()[1].name, 'yuppie')\",\n \"def insert_data_category_into_bdd(self):\\n for category in constant.LIST_CATEGORIES:\\n data = Category(name=category)\\n data.save()\\n print(\\\"the category \\\" + str(category) + \\\" has been created\\\")\",\n \"def test_dashboard_recipe_created_with_category(self):\\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\\n self.login('Bo_theo5@example.com', 'Bo1995')\\n self.dashboard()\\n self.category('JunkFood')\\n self.dashboard()\\n rv = self.recipe_dashboard()\\n self.assertIn(b'JunkFood', rv.data)\",\n \"def test_get(self, init_db, category):\\n assert Category.get(category.id) == category\",\n \"def test_edit_category(self):\\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\\n self.login('Bo_theo5@example.com', 'Bo1995')\\n self.dashboard()\\n self.category('Breakfast')\\n self.dashboard()\\n rv = self.edit_category('JunkFood')\\n self.assertIn(b'Category successfully updated', rv.data)\",\n \"def test_add_category_to_asset(self):\\n pass\",\n \"def test_0005_create_categories(self):\\n self.create_category(name='Test 0060 Workflow Features', description='Test 0060 - Workflow Features')\",\n \"def test_find_by_category(self):\\n Pet(0, \\\"fido\\\", \\\"dog\\\").save()\\n Pet(0, \\\"kitty\\\", \\\"cat\\\").save()\\n pets = Pet.find_by_category(\\\"cat\\\")\\n self.assertNotEqual(len(pets), 0)\\n self.assertEqual(pets[0].category, \\\"cat\\\")\\n self.assertEqual(pets[0].name, \\\"kitty\\\")\",\n \"def test_category_mixed_on_edit(self):\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.fv('minus_upload', 'categories', 'onecat')\\n self.submit200()\\n minus = MinusRecord.objects.all()[0]\\n self.assert_equal(minus.categories.count(), 1)\\n self.go200('minus_edit', [self.superuser, minus.id])\\n self.fv('minus_upload', 'add_category', 'yuppie')\\n self.submit200()\\n self.assert_equal(minus.categories.count(), 2)\\n self.assert_equal(minus.categories.all()[0].name, 'onecat')\\n self.assert_equal(minus.categories.all()[1].name, 'yuppie')\",\n \"def test_update_category(self):\\n self.update_success(self.test_data['pants'], self.test_data['shirts'])\",\n \"def test_new_category_is_added(db_session):\\n new_cat = Category(\\n label=\\\"test_label\\\",\\n desc=\\\"test_desc\\\"\\n )\\n db_session.add(new_cat)\\n query = db_session.query(Category).all()\\n assert len(query) == 1\",\n \"def test_products_model_entry(self):\\n data = self.data1\\n self.assertTrue(isinstance(data, Product))\\n self.assertEqual(str(data), 'django beginners')\",\n \"def test_products_model_entry(self):\\n data = self.data1\\n self.assertTrue(isinstance(data, Recipe))\\n self.assertEqual(str(data), 'django beginners')\",\n \"def test_Categories_getter(self):\\r\\n expected = ['Treatment', 'DOB']\\r\\n observed = self.cs_overview.Categories\\r\\n self.assertEqual(observed, expected)\",\n \"def create_category():\\n category = Category(name='testcategory', description=\\\"\\\", fee=DEFAULT_FEE)\\n category.save()\\n return category\",\n \"def test_category_manip_pipeline(self):\\n raise NotImplementedError(\\\"\\\")\",\n \"def test_update_category(self):\\n category = sample_category()\\n url = category_details_url(category.id)\\n self.client.put(url, {\\\"name\\\": \\\"school\\\"})\\n category.refresh_from_db()\\n self.assertEqual(category.name, 'school')\",\n \"def test_query_category(self):\\r\\n CategoryFactory.create(name='thinking', short_name='thinking')\\r\\n # Test for real field\\r\\n url = \\\"/api/category\\\"\\r\\n res = self.app.get(url + \\\"?short_name=thinking\\\")\\r\\n data = json.loads(res.data)\\r\\n # Should return one result\\r\\n assert len(data) == 1, data\\r\\n # Correct result\\r\\n assert data[0]['short_name'] == 'thinking', data\\r\\n\\r\\n # Valid field but wrong value\\r\\n res = self.app.get(url + \\\"?short_name=wrongvalue\\\")\\r\\n data = json.loads(res.data)\\r\\n assert len(data) == 0, data\\r\\n\\r\\n # Multiple fields\\r\\n res = self.app.get(url + '?short_name=thinking&name=thinking')\\r\\n data = json.loads(res.data)\\r\\n # One result\\r\\n assert len(data) == 1, data\\r\\n # Correct result\\r\\n assert data[0]['short_name'] == 'thinking', data\\r\\n assert data[0]['name'] == 'thinking', data\\r\\n\\r\\n # Limits\\r\\n res = self.app.get(url + \\\"?limit=1\\\")\\r\\n data = json.loads(res.data)\\r\\n for item in data:\\r\\n assert item['short_name'] == 'thinking', item\\r\\n assert len(data) == 1, data\\r\\n\\r\\n # Errors\\r\\n res = self.app.get(url + \\\"?something\\\")\\r\\n err = json.loads(res.data)\\r\\n err_msg = \\\"AttributeError exception should be raised\\\"\\r\\n res.status_code == 415, err_msg\\r\\n assert res.status_code == 415, err_msg\\r\\n assert err['action'] == 'GET', err_msg\\r\\n assert err['status'] == 'failed', err_msg\\r\\n assert err['exception_cls'] == 'AttributeError', err_msg\",\n \"def test_put_category(self):\\n self.assertEqual(Project.objects.count(), 2)\\n\\n url = reverse(\\n 'projectroles:api_project_update',\\n kwargs={'project': self.category.sodar_uuid},\\n )\\n put_data = {\\n 'title': UPDATED_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': '',\\n 'description': UPDATED_DESC,\\n 'readme': UPDATED_README,\\n 'public_guest_access': False,\\n }\\n response = self.request_knox(url, method='PUT', data=put_data)\\n\\n self.assertEqual(response.status_code, 200, msg=response.content)\\n self.assertEqual(Project.objects.count(), 2)\\n\\n self.category.refresh_from_db()\\n model_dict = model_to_dict(self.category)\\n model_dict['readme'] = model_dict['readme'].raw\\n expected = {\\n 'id': self.category.pk,\\n 'title': UPDATED_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': None,\\n 'description': UPDATED_DESC,\\n 'readme': UPDATED_README,\\n 'public_guest_access': False,\\n 'archive': False,\\n 'full_title': UPDATED_TITLE,\\n 'has_public_children': False,\\n 'sodar_uuid': self.category.sodar_uuid,\\n }\\n self.assertEqual(model_dict, expected)\\n\\n expected = {\\n 'title': UPDATED_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': None,\\n 'description': UPDATED_DESC,\\n 'readme': UPDATED_README,\\n 'public_guest_access': False,\\n 'archive': False,\\n 'roles': {\\n str(self.category.get_owner().sodar_uuid): {\\n 'role': PROJECT_ROLE_OWNER,\\n 'user': self.get_serialized_user(self.user_owner_cat),\\n 'inherited': False,\\n 'sodar_uuid': str(self.category.get_owner().sodar_uuid),\\n }\\n },\\n 'sodar_uuid': str(self.category.sodar_uuid),\\n }\\n self.assertEqual(json.loads(response.content), expected)\",\n \"def test_add_category_success(self):\\n category = json.dumps({\\n 'name': 'Asian',\\n })\\n response = self.client.post('/category', data=category,\\n headers={\\\"Authorization\\\": self.token})\\n self.assertEqual(response.status_code, 201)\\n self.assertIn('asian', response.data.decode())\",\n \"def test_get_categories(self):\\n pass\",\n \"def test_create_category(self):\\n self.assertEqual(Project.objects.count(), 2)\\n\\n url = reverse('projectroles:api_project_create')\\n post_data = {\\n 'title': NEW_CATEGORY_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': '',\\n 'description': 'description',\\n 'readme': 'readme',\\n 'public_guest_access': False,\\n 'owner': str(self.user.sodar_uuid),\\n }\\n response = self.request_knox(url, method='POST', data=post_data)\\n\\n self.assertEqual(response.status_code, 201, msg=response.content)\\n self.assertEqual(Project.objects.count(), 3)\\n # Assert object content\\n new_category = Project.objects.get(title=NEW_CATEGORY_TITLE)\\n model_dict = model_to_dict(new_category)\\n model_dict['readme'] = model_dict['readme'].raw\\n expected = {\\n 'id': new_category.pk,\\n 'title': new_category.title,\\n 'type': new_category.type,\\n 'parent': None,\\n 'description': new_category.description,\\n 'readme': new_category.readme.raw,\\n 'public_guest_access': False,\\n 'archive': False,\\n 'full_title': new_category.title,\\n 'has_public_children': False,\\n 'sodar_uuid': new_category.sodar_uuid,\\n }\\n self.assertEqual(model_dict, expected)\\n # Assert role assignment\\n self.assertEqual(\\n RoleAssignment.objects.filter(\\n project=new_category, user=self.user, role=self.role_owner\\n ).count(),\\n 1,\\n )\\n # Assert API response\\n expected = {\\n 'title': NEW_CATEGORY_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': None,\\n 'description': new_category.description,\\n 'readme': new_category.readme.raw,\\n 'public_guest_access': False,\\n 'sodar_uuid': str(new_category.sodar_uuid),\\n }\\n self.assertEqual(json.loads(response.content), expected)\",\n \"def setUpTestData(cls):\\n Product_type.objects.create(\\n name='New_Product', display_name='New Product.')\",\n \"def sample_category(name='place'):\\n return Category.objects.create(name=name)\",\n \"def test_products_basic(self):\\n self.assertEqual(self.cat1.name, 'meat')\\n self.assertEqual(self.cat1.slug, 'meat')\\n self.assertEqual(self.cat1.description, 'The meat category.')\\n self.assertIsNone(self.cat1.parent)\\n\\n self.assertEqual(len(self.product1.categories.all()), 1)\\n self.assertEqual(self.product1.categories.all()[0], self.cat1)\\n self.assertEqual(self.product1.name, 'Chicken Breast')\\n self.assertEqual(self.product1.slug, 'chicken-breast')\\n self.assertIn('product1_img', self.product1.main_image.image.name)\\n self.assertEqual(self.product1.description, \\n 'Chicken breast. Yes, chicken breast.')\\n self.assertEqual(self.product1.stock, 120)\\n self.assertTrue(self.product1.available)\\n\\n self.assertEqual(self.product1.main_image_url, \\n self.product1.main_image.image.url,\\n '\\\\'main_image_url\\\\' shorthand in Product model did not match the ' \\n 'actual main image url')\\n \\n # Test adding multiple categories to a product \\n high_protein = self.product1.categories.create(name='high protein',\\n slug='high-protein',\\n description='Hight protein foods.',\\n parent=self.cat1)\\n\\n self.assertEqual(len(self.product1.categories.all()), 2)\\n self.assertIn(high_protein, self.product1.categories.all())\\n self.assertEqual(high_protein.parent, self.cat1)\\n\\n # Test __str()__ returns expected name\\n self.assertEqual(str(self.product1), 'Chicken Breast')\\n self.assertEqual(str(self.cat1), 'meat')\\n\\n # Make sure the urls are returned correctly\\n self.assertEqual(self.product1.get_absolute_url(), \\n reverse('products:product_detail', \\n kwargs= {'slug': self.product1.slug}))\",\n \"def test_retrieve_categories(self):\\n sample_category()\\n sample_category(name=\\\"people\\\")\\n res = self.client.get(CATEGORY_URL)\\n categories = Category.objects.all()\\n serializer = CategorySerializer(categories, many=True)\\n self.assertEqual(res.status_code, status.HTTP_200_OK)\\n self.assertEqual(len(res.data), 2)\\n self.assertEqual(len(res.data), len(serializer.data))\\n self.assertEqual(res.data, serializer.data)\",\n \"def test_new_attribute_data(db_session):\\n new_att = Attribute(\\n label=\\\"test_label\\\",\\n desc=\\\"test_desc\\\"\\n )\\n db_session.add(new_att)\\n att = db_session.query(Attribute).all()\\n assert att[0].label == \\\"test_label\\\"\\n assert att[0].desc == \\\"test_desc\\\"\",\n \"def test_categories_add(self):\\n categories = [category.category for category in self.note.categories.all()]\\n self.assertIn('test', categories)\\n self.assertNotIn('note', categories)\",\n \"def test_category_field(self):\\n field = self.record.find('field[@name=\\\\'category_id\\\\']')\\n self.assertEqual(field.attrib['eval'],\\n '[(4, ref(\\\\'nh_clinical.role_nhc_admin\\\\'))]',\\n 'Incorrect eval on category id')\",\n \"def test_delete_category(self):\\n pass\",\n \"def test_save(self, init_db, category1):\\n params = {\\n 'title' : fake.alphanumeric(15),\\n 'description' : fake.alphanumeric(200),\\n 'ranking' : 1,\\n 'meta_data' : {\\n 'color' : 'red',\\n 'quantity' : 2,\\n 'date_purchased' : '2019-02-05',\\n 'condition' : 'bad'\\n },\\n 'category_id' : category1.id\\n }\\n\\n favorite = Favorite(**params)\\n assert favorite == favorite.save()\",\n \"def test_edit_category(self):\\n rv = self.client().post(\\n '/categories/',\\n data={'category_name': 'Sauces'})\\n self.assertEqual(rv.status_code, 201)\\n rv = self.client().put(\\n '/categories/1',\\n data={\\n \\\"name\\\": \\\"Soups and Sauces\\\"\\n })\\n #self.assertEqual(rv.status_code, 200)\\n results = self.client().get('/categories/1')\\n #self.assertIn('Soups and', str(results.data))\",\n \"def test_create_category_nested(self):\\n self.assertEqual(Project.objects.count(), 2)\\n\\n url = reverse('projectroles:api_project_create')\\n post_data = {\\n 'title': NEW_CATEGORY_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': str(self.category.sodar_uuid),\\n 'description': 'description',\\n 'readme': 'readme',\\n 'public_guest_access': False,\\n 'owner': str(self.user.sodar_uuid),\\n }\\n response = self.request_knox(url, method='POST', data=post_data)\\n\\n self.assertEqual(response.status_code, 201, msg=response.content)\\n self.assertEqual(Project.objects.count(), 3)\\n new_category = Project.objects.get(title=NEW_CATEGORY_TITLE)\\n model_dict = model_to_dict(new_category)\\n model_dict['readme'] = model_dict['readme'].raw\\n expected = {\\n 'id': new_category.pk,\\n 'title': new_category.title,\\n 'type': new_category.type,\\n 'parent': self.category.pk,\\n 'description': new_category.description,\\n 'readme': new_category.readme.raw,\\n 'public_guest_access': False,\\n 'archive': False,\\n 'full_title': self.category.title + ' / ' + new_category.title,\\n 'has_public_children': False,\\n 'sodar_uuid': new_category.sodar_uuid,\\n }\\n self.assertEqual(model_dict, expected)\\n self.assertEqual(\\n RoleAssignment.objects.filter(\\n project=new_category, user=self.user, role=self.role_owner\\n ).count(),\\n 1,\\n )\\n expected = {\\n 'title': NEW_CATEGORY_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': str(self.category.sodar_uuid),\\n 'description': new_category.description,\\n 'readme': new_category.readme.raw,\\n 'public_guest_access': False,\\n 'sodar_uuid': str(new_category.sodar_uuid),\\n }\\n self.assertEqual(json.loads(response.content), expected)\",\n \"def test_create_product_successful(self):\\n \\n ProductCategory.objects.create(name=\\\"test name\\\", description=\\\"new name\\\")\\n test_key = ProductCategory.objects.values()[0]\\n # print(test_key)\\n payload = {\\n 'name': 'Test Tag',\\n 'product_category_id': test_key.get('id'),\\n 'unit_price': 100,\\n 'quantity': 12,\\n 'description': 'Test description'\\n }\\n \\n res = self.client.post(PRODUCT_ADD_URL, payload)\\n\\n # print(res.data)\\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\",\n \"def test_23_admin_add_category(self):\\r\\n self.create()\\r\\n category = {'name': 'cat', 'short_name': 'cat',\\r\\n 'description': 'description'}\\r\\n # Anonymous user\\r\\n url = '/admin/categories'\\r\\n res = self.app.post(url, data=category, follow_redirects=True)\\r\\n dom = BeautifulSoup(res.data)\\r\\n err_msg = \\\"Anonymous users should be redirected to sign in\\\"\\r\\n assert dom.find(id='signin') is not None, err_msg\\r\\n\\r\\n # Authenticated user but not admin\\r\\n self.signin(email=self.email_addr2, password=self.password)\\r\\n res = self.app.post(url, data=category, follow_redirects=True)\\r\\n err_msg = \\\"Non-Admin users should get 403\\\"\\r\\n assert res.status_code == 403, err_msg\\r\\n self.signout()\\r\\n\\r\\n # Admin\\r\\n self.signin(email=self.root_addr, password=self.root_password)\\r\\n res = self.app.post(url, data=category, follow_redirects=True)\\r\\n err_msg = \\\"Category should be added\\\"\\r\\n assert \\\"Category added\\\" in res.data, err_msg\\r\\n assert category['name'] in res.data, err_msg\\r\\n\\r\\n category = {'name': 'cat', 'short_name': 'cat',\\r\\n 'description': 'description'}\\r\\n\\r\\n self.signin(email=self.root_addr, password=self.root_password)\\r\\n res = self.app.post(url, data=category, follow_redirects=True)\\r\\n err_msg = \\\"Category form validation should work\\\"\\r\\n assert \\\"Please correct the errors\\\" in res.data, err_msg\",\n \"def test_valid_form(self):\\n\\n data = {'category': ['103','109'] }\\n form = CategoriesForm(data=data)\\n self.assertTrue(form.is_valid())\",\n \"def test_photo_classification_view_set_post_category_update_not_allowed(self):\\n # Test data\\n user = account_models.User.objects.get(email='mrtest@mypapaya.io')\\n photo_models.PhotoClassification.objects.create_or_update(name='night', classification_type='category')\\n\\n # Simulate auth\\n token = test_helpers.get_token_for_user(user)\\n\\n # Get data from endpoint\\n client = APIClient()\\n client.credentials(HTTP_AUTHORIZATION='Token ' + token)\\n\\n payload = {\\n 'name': 'Night',\\n 'classification_type': 'category'\\n }\\n\\n request = client.post('/api/photo_classifications', data=payload, format='json')\\n\\n self.assertEquals(request.status_code, 400)\\n\\n # Query for entry as well\\n classifications = photo_models.PhotoClassification.objects.all()\\n\\n self.assertEquals(len(classifications), 12)\",\n \"def test_edit_category(self):\\n response = self.client.put('/api/v1/category/1',\\n data=json.dumps(category[3]),\\n content_type='application/json',\\n headers=self.admin_headers)\\n self.assertEqual(response.status_code, 201)\\n self.assertIn('Apparels', str(response.data))\",\n \"def test_add_category_integer_name(self):\\n category = json.dumps({\\n 'name': 8888,\\n })\\n response = self.client.post('/category', data=category,\\n headers={\\\"Authorization\\\": self.token})\\n self.assertEqual(response.status_code, 400)\\n self.assertIn('Numbers cant be a Name', response.data.decode())\",\n \"def test_add_category_to_product(self):\\n login = self.autheniticate()\\n token = json.loads(login.data.decode()).get('token')\\n self.app.post(product_url,\\n data=json.dumps(self.product_data),\\n headers=dict(Authorization=\\\"Bearer \\\" + token),\\n content_type='application/json')\\n self.app.post(category_url,\\n data=json.dumps(self.data),\\n headers=dict(Authorization=\\\"Bearer \\\" + token),\\n content_type='application/json')\\n res = self.app.post(productcategory_url,\\n headers=dict(Authorization=\\\"Bearer \\\" + token),\\n content_type='application/json')\\n res1 = json.loads(res.data.decode())\\n self.assertEqual(res1['status'], 'Updated!')\\n self.assertEqual(res.status_code, 200)\",\n \"def test_category_url(self):\\n data = self.data1\\n # response = self.client.post(\\n # reverse('recipe:category_list', args=[data.slug]))\\n # self.assertEqual(response.status_code, 200)\\n self.assertTrue(isinstance(data, Category))\",\n \"def fill_in(self,category):\\r\\n api_json = JsonFromApi(category)\\r\\n extracted_data = ExtractFromJson(api_json.get_json())\\r\\n self.fill_in_db = DatabaseUpdator(\\r\\n extracted_data.extract_json(), self.mydb)\\r\\n self.fill_in_db.table_product_update()\\r\\n self.fill_in_db.table_category_update()\",\n \"def test_books_model_entry(self):\\n data = self.data1\\n self.assertTrue(isinstance(data,Books))\",\n \"def test_category(self, category):\\n\\n importable = False\\n try:\\n Categories.objects.get(\\n name=category['id'].split(':')[1]\\n )\\n except Categories.DoesNotExist:\\n importable = True\\n except:\\n importable = False\\n\\n return importable\",\n \"def test_project_category_creation(self):\\n name = 'A project category name'\\n description = 'A project category description'\\n project_category = self.create_project_category(\\n name=name,\\n description=description,\\n )\\n self.assertTrue(isinstance(project_category, ProjectCategory))\\n self.assertEqual(project_category.__str__(), project_category.name)\\n self.assertEqual(project_category.name, name)\\n self.assertEqual(project_category.description, description)\",\n \"def test_get_category_details(self):\\n category = sample_category()\\n url = category_details_url(category.id)\\n res = self.client.get(url)\\n serializer = CategorySerializer(category)\\n self.assertEqual(res.status_code, status.HTTP_200_OK)\\n self.assertEqual(res.data, serializer.data)\",\n \"def test_add_missing_field(self):\\n response = self.client.post('/api/v1/categories',\\n data=json.dumps(category[1]),\\n content_type='application/json',\\n headers=self.admin_headers)\\n self.assertEqual(response.status_code, 400)\\n self.assertIn('Missing required parameter', str(response.data))\",\n \"def test_photo_classification_view_set_post_tag_category_exists(self):\\n # Test data\\n user = account_models.User.objects.get(email='mrtest@mypapaya.io')\\n photo_models.PhotoClassification.objects.create_or_update(name='night', classification_type='category')\\n\\n # Simulate auth\\n token = test_helpers.get_token_for_user(user)\\n\\n # Get data from endpoint\\n client = APIClient()\\n client.credentials(HTTP_AUTHORIZATION='Token ' + token)\\n\\n payload = {\\n 'name': 'Night',\\n 'classification_type': 'tag'\\n }\\n\\n request = client.post('/api/photo_classifications', data=payload, format='json')\\n result = request.data\\n\\n self.assertEquals(result['name'], 'Night')\\n self.assertEquals(result['classification_type'], 'tag')\\n\\n # Query for entry as well\\n classifications = photo_models.PhotoClassification.objects.all()\\n\\n self.assertEquals(len(classifications), 13)\",\n \"def test_view_categories(self):\\n res = self.client().post('/categories/', data=self.category)\\n self.assertEqual(res.status_code, 201)\\n res = self.client().get('/categories/')\\n self.assertEqual(res.status_code, 200)\\n self.assertIn('Stews', str(res.data))\",\n \"def test_create_drug_successful(self):\\n generic = models.Generic.objects.create(\\n generic_name=\\\"Lisinopril\\\"\\n )\\n print(type(generic))\\n drug = models.Drug.objects.create(\\n product_id='12345',\\n generic_name=generic,\\n product_ndc=\\\"99999-9999\\\",\\n brand_name=\\\"Zestril\\\"\\n )\\n\\n self.assertEqual(str(drug), f\\\"{drug.product_id} {drug.product_ndc}\\\")\",\n \"def test_create(self):\\n self.assertEqual(Product.objects.count(), 2)\\n payload = {\\n 'name': 'New product',\\n 'category': self.category_1.id,\\n 'sku': '11111111',\\n 'description': 'New product description',\\n 'price': 39.99\\n }\\n\\n headers = {\\n 'HTTP_AUTHORIZATION': 'Token ' + str(self.token_admin)\\n }\\n response = self.client.post(\\n '/api/products/', data=payload, content_type='application/json', **headers)\\n self.assertEqual(response.status_code, 201)\\n self.assertEqual(response['Content-Type'], 'application/json')\\n self.assertEqual(Product.objects.count(), 3)\\n\\n product = Product.objects.get(name='New product')\\n self.assertEqual(product.name, 'New product')\\n self.assertEqual(product.category, self.category_1)\\n self.assertEqual(product.sku, '11111111')\\n self.assertEqual(product.description, 'New product description')\\n self.assertEqual(float(product.price), 39.99)\",\n \"def test_up_assign_categories(self):\\n self.go200('minus_upload')\\n self.formfile('minus_upload', 'file', AUDIO_FILE)\\n self.fv('minus_upload', 'categories', 'onecat')\\n self.submit200()\\n minus = MinusRecord.objects.all()[0]\\n self.url('minus_detail', [minus.author, minus.id])\\n self.assert_equal(minus.categories.count(), 1)\\n self.assert_equal(minus.categories.all()[0].name, 'onecat')\",\n \"def test_get_category_forms(self):\\n self.get_add_form()\\n self.get_edit_form(self.test_data['pants'])\\n self.get_delete_confirmation_form(self.test_data['shirts'])\",\n \"def test_can_create_job_category(self):\\n\\t\\tself.job_category.save()\\n\\t\\tjob_category_instance = JobCategory.objects.get(pk=1)\\n\\t\\tself.assertEqual(\\n\\t\\t\\tself.category,\\n\\t\\t\\tjob_category_instance.category,\\n\\t\\t\\t\\\"Job categories don't match.\\\"\\n\\t\\t)\",\n \"def test_prep_new_data(self):\\n pass\",\n \"def test_recipe_model(self):\\n recipe = Recipe(uri=\\\"testuri\\\", name=\\\"testname\\\", image_url=\\\"test_image_url\\\")\\n\\n db.session.add(recipe)\\n db.session.commit()\\n\\n recipes = Recipe.query.all()\\n\\n self.assertEqual(len(recipes), 1)\\n self.assertEqual(recipes[0].uri, \\\"testuri\\\")\\n self.assertEqual(recipes[0].name, \\\"testname\\\")\\n self.assertEqual(recipes[0].image_url, \\\"test_image_url\\\")\",\n \"def test_category_post(self):\\r\\n admin = UserFactory.create()\\r\\n user = UserFactory.create()\\r\\n name = u'Category'\\r\\n category = dict(\\r\\n name=name,\\r\\n short_name='category',\\r\\n description=u'description')\\r\\n data = json.dumps(category)\\r\\n # no api-key\\r\\n url = '/api/category'\\r\\n res = self.app.post(url, data=data)\\r\\n err = json.loads(res.data)\\r\\n err_msg = 'Should not be allowed to create'\\r\\n assert res.status_code == 401, err_msg\\r\\n assert err['action'] == 'POST', err_msg\\r\\n assert err['exception_cls'] == 'Unauthorized', err_msg\\r\\n\\r\\n # now a real user but not admin\\r\\n res = self.app.post(url + '?api_key=' + user.api_key, data=data)\\r\\n err = json.loads(res.data)\\r\\n err_msg = 'Should not be allowed to create'\\r\\n assert res.status_code == 403, err_msg\\r\\n assert err['action'] == 'POST', err_msg\\r\\n assert err['exception_cls'] == 'Forbidden', err_msg\\r\\n\\r\\n # now as an admin\\r\\n res = self.app.post(url + '?api_key=' + admin.api_key,\\r\\n data=data)\\r\\n err = json.loads(res.data)\\r\\n err_msg = 'Admin should be able to create a Category'\\r\\n assert res.status_code == 200, err_msg\\r\\n cat = db.session.query(Category)\\\\\\r\\n .filter_by(short_name=category['short_name']).first()\\r\\n assert err['id'] == cat.id, err_msg\\r\\n assert err['name'] == category['name'], err_msg\\r\\n assert err['short_name'] == category['short_name'], err_msg\\r\\n assert err['description'] == category['description'], err_msg\\r\\n\\r\\n # test re-create should fail\\r\\n res = self.app.post(url + '?api_key=' + admin.api_key,\\r\\n data=data)\\r\\n err = json.loads(res.data)\\r\\n assert res.status_code == 415, err\\r\\n assert err['status'] == 'failed', err\\r\\n assert err['action'] == 'POST', err\\r\\n assert err['exception_cls'] == \\\"IntegrityError\\\", err\\r\\n\\r\\n # test create with non-allowed fields should fail\\r\\n data = dict(name='fail', short_name='fail', wrong=15)\\r\\n res = self.app.post(url + '?api_key=' + admin.api_key,\\r\\n data=data)\\r\\n err = json.loads(res.data)\\r\\n err_msg = \\\"ValueError exception should be raised\\\"\\r\\n assert res.status_code == 415, err\\r\\n assert err['action'] == 'POST', err\\r\\n assert err['status'] == 'failed', err\\r\\n assert err['exception_cls'] == \\\"ValueError\\\", err_msg\\r\\n # Now with a JSON object but not valid\\r\\n data = json.dumps(data)\\r\\n res = self.app.post(url + '?api_key=' + user.api_key,\\r\\n data=data)\\r\\n err = json.loads(res.data)\\r\\n err_msg = \\\"TypeError exception should be raised\\\"\\r\\n assert err['action'] == 'POST', err_msg\\r\\n assert err['status'] == 'failed', err_msg\\r\\n assert err['exception_cls'] == \\\"TypeError\\\", err_msg\\r\\n assert res.status_code == 415, err_msg\\r\\n\\r\\n # test update\\r\\n data = {'name': 'My New Title'}\\r\\n datajson = json.dumps(data)\\r\\n ## anonymous\\r\\n res = self.app.put(url + '/%s' % cat.id,\\r\\n data=data)\\r\\n error_msg = 'Anonymous should not be allowed to update'\\r\\n assert_equal(res.status, '401 UNAUTHORIZED', error_msg)\\r\\n error = json.loads(res.data)\\r\\n assert error['status'] == 'failed', error\\r\\n assert error['action'] == 'PUT', error\\r\\n assert error['exception_cls'] == 'Unauthorized', error\\r\\n\\r\\n ### real user but not allowed as not admin!\\r\\n url = '/api/category/%s?api_key=%s' % (cat.id, user.api_key)\\r\\n res = self.app.put(url, data=datajson)\\r\\n error_msg = 'Should not be able to update apps of others'\\r\\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\\r\\n error = json.loads(res.data)\\r\\n assert error['status'] == 'failed', error\\r\\n assert error['action'] == 'PUT', error\\r\\n assert error['exception_cls'] == 'Forbidden', error\\r\\n\\r\\n # Now as an admin\\r\\n res = self.app.put('/api/category/%s?api_key=%s' % (cat.id, admin.api_key),\\r\\n data=datajson)\\r\\n assert_equal(res.status, '200 OK', res.data)\\r\\n out2 = db.session.query(Category).get(cat.id)\\r\\n assert_equal(out2.name, data['name'])\\r\\n out = json.loads(res.data)\\r\\n assert out.get('status') is None, error\\r\\n assert out.get('id') == cat.id, error\\r\\n\\r\\n # With fake data\\r\\n data['algo'] = 13\\r\\n datajson = json.dumps(data)\\r\\n res = self.app.put('/api/category/%s?api_key=%s' % (cat.id, admin.api_key),\\r\\n data=datajson)\\r\\n err = json.loads(res.data)\\r\\n assert res.status_code == 415, err\\r\\n assert err['status'] == 'failed', err\\r\\n assert err['action'] == 'PUT', err\\r\\n assert err['exception_cls'] == 'TypeError', err\\r\\n\\r\\n # With not JSON data\\r\\n datajson = data\\r\\n res = self.app.put('/api/category/%s?api_key=%s' % (cat.id, admin.api_key),\\r\\n data=datajson)\\r\\n err = json.loads(res.data)\\r\\n assert res.status_code == 415, err\\r\\n assert err['status'] == 'failed', err\\r\\n assert err['action'] == 'PUT', err\\r\\n assert err['exception_cls'] == 'ValueError', err\\r\\n\\r\\n # With wrong args in the URL\\r\\n data = dict(\\r\\n name='Category3',\\r\\n short_name='category3',\\r\\n description=u'description3')\\r\\n\\r\\n datajson = json.dumps(data)\\r\\n res = self.app.put('/api/category/%s?api_key=%s&search=select1' % (cat.id, admin.api_key),\\r\\n data=datajson)\\r\\n err = json.loads(res.data)\\r\\n assert res.status_code == 415, err\\r\\n assert err['status'] == 'failed', err\\r\\n assert err['action'] == 'PUT', err\\r\\n assert err['exception_cls'] == 'AttributeError', err\\r\\n\\r\\n # test delete\\r\\n ## anonymous\\r\\n res = self.app.delete(url + '/%s' % cat.id, data=data)\\r\\n error_msg = 'Anonymous should not be allowed to delete'\\r\\n assert_equal(res.status, '401 UNAUTHORIZED', error_msg)\\r\\n error = json.loads(res.data)\\r\\n assert error['status'] == 'failed', error\\r\\n assert error['action'] == 'DELETE', error\\r\\n assert error['target'] == 'category', error\\r\\n ### real user but not admin\\r\\n url = '/api/category/%s?api_key=%s' % (cat.id, user.api_key)\\r\\n res = self.app.delete(url, data=datajson)\\r\\n error_msg = 'Should not be able to delete apps of others'\\r\\n assert_equal(res.status, '403 FORBIDDEN', error_msg)\\r\\n error = json.loads(res.data)\\r\\n assert error['status'] == 'failed', error\\r\\n assert error['action'] == 'DELETE', error\\r\\n assert error['target'] == 'category', error\\r\\n\\r\\n # As admin\\r\\n url = '/api/category/%s?api_key=%s' % (cat.id, admin.api_key)\\r\\n res = self.app.delete(url, data=datajson)\\r\\n\\r\\n assert_equal(res.status, '204 NO CONTENT', res.data)\\r\\n\\r\\n # delete a category that does not exist\\r\\n url = '/api/category/5000?api_key=%s' % admin.api_key\\r\\n res = self.app.delete(url, data=datajson)\\r\\n error = json.loads(res.data)\\r\\n assert res.status_code == 404, error\\r\\n assert error['status'] == 'failed', error\\r\\n assert error['action'] == 'DELETE', error\\r\\n assert error['target'] == 'category', error\\r\\n assert error['exception_cls'] == 'NotFound', error\\r\\n\\r\\n # delete a category that does not exist\\r\\n url = '/api/category/?api_key=%s' % admin.api_key\\r\\n res = self.app.delete(url, data=datajson)\\r\\n assert res.status_code == 404, error\",\n \"def test_category_addition(self):\\n login = self.autheniticate()\\n token = json.loads(login.data.decode()).get('token')\\n res = self.app.post(category_url,\\n data=json.dumps(self.data),\\n headers=dict(Authorization=\\\"Bearer \\\" + token),\\n content_type='application/json')\\n res1 = json.loads(res.data.decode())\\n self.assertEqual(res1['status'], 'Success!')\\n self.assertEqual(res.status_code, 201)\",\n \"def test_patch_category(self):\\n self.assertEqual(Project.objects.count(), 2)\\n\\n url = reverse(\\n 'projectroles:api_project_update',\\n kwargs={'project': self.category.sodar_uuid},\\n )\\n patch_data = {\\n 'title': UPDATED_TITLE,\\n 'description': UPDATED_DESC,\\n 'readme': UPDATED_README,\\n }\\n response = self.request_knox(url, method='PATCH', data=patch_data)\\n\\n self.assertEqual(response.status_code, 200, msg=response.content)\\n self.assertEqual(Project.objects.count(), 2)\\n\\n self.category.refresh_from_db()\\n model_dict = model_to_dict(self.category)\\n model_dict['readme'] = model_dict['readme'].raw\\n expected = {\\n 'id': self.category.pk,\\n 'title': UPDATED_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': None,\\n 'description': UPDATED_DESC,\\n 'readme': UPDATED_README,\\n 'public_guest_access': False,\\n 'archive': False,\\n 'full_title': UPDATED_TITLE,\\n 'has_public_children': False,\\n 'sodar_uuid': self.category.sodar_uuid,\\n }\\n self.assertEqual(model_dict, expected)\\n self.assertEqual(self.category.get_owner().user, self.user_owner_cat)\\n\\n expected = {\\n 'title': UPDATED_TITLE,\\n 'type': PROJECT_TYPE_CATEGORY,\\n 'parent': None,\\n 'description': UPDATED_DESC,\\n 'readme': UPDATED_README,\\n 'public_guest_access': False,\\n 'archive': False,\\n 'roles': {\\n str(self.category.get_owner().sodar_uuid): {\\n 'role': PROJECT_ROLE_OWNER,\\n 'user': self.get_serialized_user(self.user_owner_cat),\\n 'inherited': False,\\n 'sodar_uuid': str(self.category.get_owner().sodar_uuid),\\n }\\n },\\n 'sodar_uuid': str(self.category.sodar_uuid),\\n }\\n self.assertEqual(json.loads(response.content), expected)\",\n \"def test_cat_says(self):\\n cat = models.Cat(name='Garfield')\\n self.assertEqual(cat.says(), 'meow')\",\n \"def test_create_new_recipe(self):\\n payload = {\\n 'title': 'Cheescake',\\n 'time_taken': 35,\\n 'price': 5\\n }\\n\\n res = self.client.post(RECIPE_URL, payload)\\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\\n\\n recipe = Recipe.objects.get(id=res.data['id'])\\n for key in payload.keys():\\n self.assertEqual((payload)[key], getattr(recipe, key))\\n\\n # recipe = get_sample_recipe(self.sample_user)\\n # db_recipe =\\n\\n # self.assertEqual(recipe.title, )\",\n \"def test_create_category_with_existing_name(self):\\n sample_category()\\n res = self.client.post(CATEGORY_URL, {\\\"name\\\": \\\"place\\\"})\\n self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertEqual(\\n res.data['errors']['name'][0],\\n 'This field must be unique.')\",\n \"def add_categorization(item_uuid, category_name, category_type):\\n try:\\n record_to_insert = (item_uuid, category_name, category_type)\\n cursor = db.get_cursor()\\n cursor.execute('INSERT INTO categorization VALUES (%s, %s, %s);', record_to_insert)\\n db.get_db().commit()\\n\\n return {'row_count': cursor.rowcount, 'status': 'Record inserted successfuly into categorization table', 'error': ''}\\n except (Exception, psycopg2.Error) as error:\\n return {'row_count': 0, \\\"status\\\": \\\"error\\\", \\\"error\\\": error}\",\n \"def test_add_relation_type(self):\\n pass\",\n \"def test_create_post(self):\\n self.test_category = Category.objects.create(name='django')\\n self.testuser1 = User.objects.create_superuser(\\n username='test_user1', password='123456789')\\n # self.testuser1.is_staff = True\\n\\n self.client.login(username=self.testuser1.username,\\n password='123456789')\\n\\n data = {\\\"title\\\": \\\"new\\\", \\\"author\\\": 1,\\n \\\"excerpt\\\": \\\"new\\\", \\\"content\\\": \\\"new\\\"}\\n url = reverse('blog_api:listcreate')\\n response = self.client.post(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\",\n \"def setUp(self):\\n db.drop_all()\\n db.create_all()\\n\\n self.uid = 1000\\n # create category \\n cat = Category.retrieve_or_add('Business')\\n self.cat = cat\\n # create user \\n u = User.signup('testuser', 'test@test.com', 'password', cat.id)\\n u.id = self.uid\\n db.session.commit()\\n\\n self.u = User.query.get(self.uid)\",\n \"def test_photo_classification_view_set_post_category_not_allowed(self):\\n # Test data\\n user = account_models.User.objects.get(email='mrtest@mypapaya.io')\\n\\n # Simulate auth\\n token = test_helpers.get_token_for_user(user)\\n\\n # Get data from endpoint\\n client = APIClient()\\n client.credentials(HTTP_AUTHORIZATION='Token ' + token)\\n\\n payload = {\\n 'name': 'Night',\\n 'classification_type': 'category'\\n }\\n\\n request = client.post('/api/photo_classifications', data=payload, format='json')\\n\\n self.assertEquals(request.status_code, 400)\\n\\n # Query for entry as well\\n classifications = photo_models.PhotoClassification.objects.all()\\n\\n self.assertEquals(len(classifications), 11)\",\n \"def setUp(self):\\n fun = Category(name=\\\"funny\\\")\\n fun.save()\\n lagos = Location(name=\\\"Lagos\\\")\\n lagos.save()\\n self.new_image = Pics(\\n name=\\\"image\\\", description=\\\"h\\\", location=lagos, category=fun)\",\n \"def categories(data):\\n if data:\\n for i in data:\\n category = CategoriesModel(categories=i['categories'])\\n category.save()\",\n \"def test_product_fields(self):\\n\\n prd = Product.objects.get(id=1)\\n\\n # test the type of name field\\n prd_type = prd._meta.get_field('name').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label name\\n max_length = prd._meta.get_field('name').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label name\\n prd_blank = prd._meta.get_field('name').blank\\n self.assertTrue(prd_blank)\\n # test null field in label name\\n prd_null = prd._meta.get_field('name').null\\n self.assertTrue(prd_null)\\n\\n # test the type of description field\\n prd_type = prd._meta.get_field('description').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label description\\n max_length = prd._meta.get_field('description').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label description\\n prd_blank = prd._meta.get_field('description').blank\\n self.assertTrue(prd_blank)\\n # test null field in label description\\n prd_null = prd._meta.get_field('description').null\\n self.assertTrue(prd_null)\\n\\n # test the type of nutrition_grade field\\n prd_type = prd._meta.get_field('nutrition_grade').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label nutrition_grade\\n max_length = prd._meta.get_field('nutrition_grade').max_length\\n self.assertEqual(max_length, 1)\\n # test blank field in label nutrition_grade\\n prd_blank = prd._meta.get_field('nutrition_grade').blank\\n self.assertTrue(prd_blank)\\n # test null field in label nutrition_grade\\n prd_null = prd._meta.get_field('nutrition_grade').null\\n self.assertTrue(prd_null)\\n\\n # test the type of barcode field\\n prd_type = prd._meta.get_field('barcode').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label barcode\\n max_length = prd._meta.get_field('barcode').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label barcode\\n prd_blank = prd._meta.get_field('barcode').blank\\n self.assertFalse(prd_blank)\\n # test null field in label barcode\\n prd_null = prd._meta.get_field('barcode').null\\n self.assertFalse(prd_null)\\n\\n # test the type of url field\\n prd_type = prd._meta.get_field('url').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label url\\n max_length = prd._meta.get_field('url').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label url\\n prd_blank = prd._meta.get_field('url').blank\\n self.assertTrue(prd_blank)\\n # test null field in label url\\n prd_null = prd._meta.get_field('url').null\\n self.assertTrue(prd_null)\\n\\n # test the type of url_pic field\\n prd_type = prd._meta.get_field('url_pic').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label url_pic\\n max_length = prd._meta.get_field('url_pic').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label url_pic\\n prd_blank = prd._meta.get_field('url_pic').blank\\n self.assertTrue(prd_blank)\\n # test null field in label url_pic\\n prd_null = prd._meta.get_field('url_pic').null\\n self.assertTrue(prd_null)\\n\\n # test the type of store field\\n prd_type = prd._meta.get_field('store').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label store\\n max_length = prd._meta.get_field('store').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label store\\n prd_blank = prd._meta.get_field('store').blank\\n self.assertTrue(prd_blank)\\n # test null field in label store\\n prd_null = prd._meta.get_field('store').null\\n self.assertTrue(prd_null)\\n\\n # test the type of fat field\\n prd_type = prd._meta.get_field('fat').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label fat max digits\\n max_digits = prd._meta.get_field('fat').max_digits\\n self.assertEqual(max_digits, 5)\\n # label fat decimal places\\n dec_places = prd._meta.get_field('fat').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label fat\\n prd_blank = prd._meta.get_field('fat').blank\\n self.assertTrue(prd_blank)\\n # test null field in label fat\\n prd_null = prd._meta.get_field('fat').null\\n self.assertTrue(prd_null)\\n\\n # test the type of saturated_fat field\\n prd_type = prd._meta.get_field('saturated_fat').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label saturated_fat max digits\\n max_digits = prd._meta.get_field('saturated_fat').max_digits\\n self.assertEqual(max_digits, 5)\\n # label saturated_fat decimal places\\n dec_places = prd._meta.get_field('saturated_fat').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label saturated_fat\\n prd_blank = prd._meta.get_field('saturated_fat').blank\\n self.assertTrue(prd_blank)\\n # test null field in label saturated_fat\\n prd_null = prd._meta.get_field('saturated_fat').null\\n self.assertTrue(prd_null)\\n\\n # test the type of sugar field\\n prd_type = prd._meta.get_field('sugar').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label sugar max digits\\n max_digits = prd._meta.get_field('sugar').max_digits\\n self.assertEqual(max_digits, 5)\\n # label sugar decimal places\\n dec_places = prd._meta.get_field('sugar').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label sugar\\n prd_blank = prd._meta.get_field('sugar').blank\\n self.assertTrue(prd_blank)\\n # test null field in label sugar\\n prd_null = prd._meta.get_field('sugar').null\\n self.assertTrue(prd_null)\\n\\n # test the type of salt\\n prd_type = prd._meta.get_field('salt').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label salt max digits\\n max_digits = prd._meta.get_field('salt').max_digits\\n self.assertEqual(max_digits, 5)\\n # label salt decimal places\\n dec_places = prd._meta.get_field('salt').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label salt\\n prd_blank = prd._meta.get_field('salt').blank\\n self.assertTrue(prd_blank)\\n # test null field in label salt\\n prd_null = prd._meta.get_field('salt').null\\n self.assertTrue(prd_null)\\n\\n # test the type of prd_cat\\n prd_type = prd._meta.get_field('prd_cat').get_internal_type()\\n self.assertEqual(prd_type, 'ForeignKey')\\n # label db_column\\n fk = prd._meta.get_field('prd_cat').db_column\\n self.assertEqual(fk, 'prd_cat')\\n # test blank field in label prd_cat\\n prd_blank = prd._meta.get_field('prd_cat').blank\\n self.assertFalse(prd_blank)\\n # test null field in label prd_cat\\n prd_null = prd._meta.get_field('prd_cat').null\\n self.assertFalse(prd_null)\\n\\n # Favourite table ----------------------------------------------------\",\n \"def test_add_relation_types(self):\\n pass\",\n \"def test_Product(self):\\n self.assertEquals(self.prod_1.pk, 1)\\n self.assertEquals(self.prod_1.ean, '3350033118072')\\n self.assertEquals(self.prod_1.name, 'test 1')\\n self.assertEquals(self.prod_1.nutriscore, 'u')\\n self.assertEquals(self.prod_1.category, 'cat 1')\",\n \"def attribute(self, data, model, model_name):\",\n \"def test_create_category_with_invalid_details_fails(self):\\n res = self.client.post(CATEGORY_URL, {})\\n self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertEqual(\\n res.data['errors']['name'][0],\\n 'This field is required.')\",\n \"def test_attr(self):\\n self.assertTrue(hasattr(self.amenity, \\\"created_at\\\"))\\n self.assertTrue(hasattr(self.amenity, \\\"id\\\"))\\n self.assertTrue(hasattr(self.amenity, \\\"updated_at\\\"))\\n self.assertFalse(hasattr(self.amenity, \\\"random_attr\\\"))\\n self.assertTrue(hasattr(self.amenity, \\\"name\\\"))\\n self.assertEqual(self.amenity.__class__.__name__, \\\"Amenity\\\")\\n self.assertEqual(self.amenity.name, \\\"\\\")\",\n \"def _testRatingCategories(self):\\n\\n\\n try:\\n user = auth.User.objects.all()[0]\\n category = models.Category.objects.all()[0]\\n host = models.Host(user=user, category=category,\\n url='http://blah.com')\\n host.save()\\n\\n comment = models.Comment(text='test', host=host)\\n comment.save()\\n\\n types = models.RatingType.objects.all()\\n\\n items = []\\n for value, type in zip([3, 4, 5], types):\\n tmp_obj = models.Rating(comment=comment, type=type, value=value)\\n tmp_obj.save()\\n items.append(tmp_obj)\\n\\n assert comment.rating() - 4.0 < .0001, comment.rating()\\n\\n comment2 = models.Comment(text='test', host=host)\\n comment2.save()\\n\\n for value, type in zip([3, 3, 3], types):\\n tmp_obj = models.Rating(comment=comment2, type=type, value=value)\\n tmp_obj.save()\\n items.append(tmp_obj)\\n\\n assert comment2.rating() - 3.0 < .0001, comment2.rating()\\n\\n assert host.rating() == 3.5, host.rating()\\n\\n ratings = host.ratings()\\n assert ratings['Support'] == 3.5, ratings\\n assert ratings['Features'] == 3.0\\n assert ratings['Uptime'] == 4.0\\n\\n finally:\\n try:\\n for tmp_obj in items:\\n tmp_obj.delete()\\n \\n comment.delete()\\n comment2.delete()\\n host.delete()\\n except:\\n pass\",\n \"def test_model_can_create_a_film(self):\\n self.assertEqual(self.film.title, \\\"test_a\\\")\",\n \"def test_blank_category(self):\\n self.signup('Bo', 'Theo', 'Bo_theo5@example.com', 'Bo1995', 'Bo1995')\\n self.login('Bo_theo5@example.com', 'Bo1995')\\n rv = self.category('')\\n self.assertIn(b'Field must be between 1 and 50 characters long.', rv.data)\",\n \"def test_extract_categories():\\n pass\",\n \"def test_create(self):\\n lvl = AcademicLevel.objects.create(\\n name=\\\"random_academic_level\\\",\\n )\\n\\n self.assertEqual(lvl.__str__(), \\\"random_academic_level\\\")\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7511274","0.74611753","0.7387198","0.7346792","0.7272893","0.721909","0.6904485","0.69011027","0.6842334","0.67509025","0.67248386","0.6717649","0.6624068","0.656367","0.6542668","0.6540674","0.65404874","0.6470544","0.646362","0.64630693","0.64449406","0.64380944","0.6420919","0.63919896","0.63862425","0.63689536","0.6335148","0.63275295","0.630453","0.6263592","0.6256702","0.6240916","0.62289137","0.621453","0.62130475","0.6187344","0.61701363","0.6156475","0.61532557","0.6147836","0.61463803","0.6134411","0.6126971","0.6114183","0.60760576","0.6072388","0.6069807","0.60636544","0.60524374","0.604647","0.60384077","0.602763","0.60171455","0.6016896","0.6015665","0.6015262","0.6014618","0.6013886","0.60111725","0.5996032","0.59893495","0.5982667","0.59728646","0.59694654","0.5968645","0.5956622","0.59555805","0.5949529","0.5928767","0.59239477","0.5923543","0.5922495","0.59057546","0.5897322","0.58957684","0.5893867","0.5891196","0.5889996","0.58883166","0.588063","0.5876221","0.58680284","0.5856271","0.58482504","0.58426625","0.5825181","0.5821702","0.58140576","0.5810927","0.58058816","0.57933843","0.5784194","0.5784034","0.57836735","0.5779272","0.5776196","0.57693905","0.57685566","0.57648873","0.57622737"],"string":"[\n \"0.7511274\",\n \"0.74611753\",\n \"0.7387198\",\n \"0.7346792\",\n \"0.7272893\",\n \"0.721909\",\n \"0.6904485\",\n \"0.69011027\",\n \"0.6842334\",\n \"0.67509025\",\n \"0.67248386\",\n \"0.6717649\",\n \"0.6624068\",\n \"0.656367\",\n \"0.6542668\",\n \"0.6540674\",\n \"0.65404874\",\n \"0.6470544\",\n \"0.646362\",\n \"0.64630693\",\n \"0.64449406\",\n \"0.64380944\",\n \"0.6420919\",\n \"0.63919896\",\n \"0.63862425\",\n \"0.63689536\",\n \"0.6335148\",\n \"0.63275295\",\n \"0.630453\",\n \"0.6263592\",\n \"0.6256702\",\n \"0.6240916\",\n \"0.62289137\",\n \"0.621453\",\n \"0.62130475\",\n \"0.6187344\",\n \"0.61701363\",\n \"0.6156475\",\n \"0.61532557\",\n \"0.6147836\",\n \"0.61463803\",\n \"0.6134411\",\n \"0.6126971\",\n \"0.6114183\",\n \"0.60760576\",\n \"0.6072388\",\n \"0.6069807\",\n \"0.60636544\",\n \"0.60524374\",\n \"0.604647\",\n \"0.60384077\",\n \"0.602763\",\n \"0.60171455\",\n \"0.6016896\",\n \"0.6015665\",\n \"0.6015262\",\n \"0.6014618\",\n \"0.6013886\",\n \"0.60111725\",\n \"0.5996032\",\n \"0.59893495\",\n \"0.5982667\",\n \"0.59728646\",\n \"0.59694654\",\n \"0.5968645\",\n \"0.5956622\",\n \"0.59555805\",\n \"0.5949529\",\n \"0.5928767\",\n \"0.59239477\",\n \"0.5923543\",\n \"0.5922495\",\n \"0.59057546\",\n \"0.5897322\",\n \"0.58957684\",\n \"0.5893867\",\n \"0.5891196\",\n \"0.5889996\",\n \"0.58883166\",\n \"0.588063\",\n \"0.5876221\",\n \"0.58680284\",\n \"0.5856271\",\n \"0.58482504\",\n \"0.58426625\",\n \"0.5825181\",\n \"0.5821702\",\n \"0.58140576\",\n \"0.5810927\",\n \"0.58058816\",\n \"0.57933843\",\n \"0.5784194\",\n \"0.5784034\",\n \"0.57836735\",\n \"0.5779272\",\n \"0.5776196\",\n \"0.57693905\",\n \"0.57685566\",\n \"0.57648873\",\n \"0.57622737\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.80247825"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":4774,"cells":{"query":{"kind":"string","value":"Test Category model default name"},"document":{"kind":"string","value":"def test_category_model_entry(self):\n data = self.data1\n self.assertEqual(str(data), 'django')"},"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 __str__(self):\n return self.category_name","def test_category_name_label(self):\n\n cat = Category.objects.get(id=1)\n label_name = cat._meta.get_field('name').verbose_name\n self.assertEqual(label_name, 'name')","def make_test_category(self):\n\n c = Category(slug='test')\n\n return c","def __str__(self):\n return self.cat_name","def get_default_category():\n return Category.objects.get_or_create(name='Unknown')[0]","def test_category_lowercase(self):\n self.assertEqual(self.category.category, \"test\")","def get_name(self):\n return self.category_name","def test_model_string_representation(self, init_db, category):\n assert repr(category) == f'<Category: {category.name}>'","def category_name(self):\n return self.category.name","def getCategory():","def name(self) -> str:\n return str(self.category.value)","def sample_category(name='place'):\n return Category.objects.create(name=name)","def test_create_category(self):\n pass","def __init__(self, category):\n self.category = category\n self.name = \"Filters.document.category('{}')\".format(self.category)","def default_model():\n return \"teenytweetynet\"","def model_name(self) -> str:\n return \"mock-model-name\"","def __init__(self, display_name, model, category='OTHER', **kwargs):\n super().__init__(display_name, **kwargs)\n set_accessory_info(self, display_name, model)\n self.category = getattr(Category, category, Category.OTHER)","def category_name(self):\n try:\n category = self.proto.category.parent\n return f'{category.name} - {self.proto.category.name}'\n except AttributeError:\n return self.proto.category.name","def get_category_name(self):\n return self._ctx.get(\"name\", self._ctx[\"id\"])","def category(self):\n return self._ctx.get(\"name\", self._ctx[\"id\"])","def test_init_with_default_value_string(self):\n categories = {\"asdfa\": 0.1, 2: 0.2, 3: 0.3, \"lalala\": 0.4}\n dim = Categorical(\"yolo\", categories, default_value=\"asdfa\")\n\n assert type(dim.default_value) is str","def __str__(self):\n \n return \"Category ID: %s %s\" % (self.category_id, self.name)","def get_category(self) -> str:\n return self.category","def __init__(self, cat_name):\n super(Cat, self).__init__(cat_name)","def test_get_name(self):\n name = \"The Name\"\n event_category = EventCategory(name=name)\n self.assertEqual(name, str(event_category), msg=(\n 'Method ``__str__`` did not output event category name.'))","def category(self) -> str:\n return pulumi.get(self, \"category\")","def create_category():\n category = Category(name='testcategory', description=\"\", fee=DEFAULT_FEE)\n category.save()\n return category","def get_model_title(self):\n pass","def test_create_category_with_existing_name(self):\n sample_category()\n res = self.client.post(CATEGORY_URL, {\"name\": \"place\"})\n self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertEqual(\n res.data['errors']['name'][0],\n 'This field must be unique.')","def test_auto_slug(self):\n category = Category.objects.create()\n translation = CategoryTranslation.objects.create(\n name=\"Charter Schools\", category=category)\n self.assertEqual(category.slug, \"charter-schools\")","def category_title(self):\n categories = {c[0]:c[1] for c in self.CATEGORY_CHOICES}\n if self.category in categories:\n return categories[self.category]","def category(self) -> pulumi.Input[str]:\n return pulumi.get(self, \"category\")","def test_0005_create_categories(self):\n self.create_category(name='Test 0060 Workflow Features', description='Test 0060 - Workflow Features')","def get_model_name(ind: int) -> str:\n return f'{fizz_name}-{fizz_type.model_name}'","def get_model_name():\n return 'Central Tendency'","def test_model_name_value(self):\n \n model_name = get_model()[0]\n \n # Check to make sure the model_name is 'iMac'\n self.assertEqual(model_name, 'iMac')","def __str__(self):\n return '%s%s' % (self.name, ' - %s' % self.model if self.model else '')","def display_name(self):","def default_name(self):\n return '[' + self.__class__.__name__ + ']'","def __str__(self):\r\n return self.name","def __str__(self):\r\n return self.name","def __str__(self):\r\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name","def __str__(self):\n return self.name"],"string":"[\n \"def __str__(self):\\n return self.category_name\",\n \"def test_category_name_label(self):\\n\\n cat = Category.objects.get(id=1)\\n label_name = cat._meta.get_field('name').verbose_name\\n self.assertEqual(label_name, 'name')\",\n \"def make_test_category(self):\\n\\n c = Category(slug='test')\\n\\n return c\",\n \"def __str__(self):\\n return self.cat_name\",\n \"def get_default_category():\\n return Category.objects.get_or_create(name='Unknown')[0]\",\n \"def test_category_lowercase(self):\\n self.assertEqual(self.category.category, \\\"test\\\")\",\n \"def get_name(self):\\n return self.category_name\",\n \"def test_model_string_representation(self, init_db, category):\\n assert repr(category) == f'<Category: {category.name}>'\",\n \"def category_name(self):\\n return self.category.name\",\n \"def getCategory():\",\n \"def name(self) -> str:\\n return str(self.category.value)\",\n \"def sample_category(name='place'):\\n return Category.objects.create(name=name)\",\n \"def test_create_category(self):\\n pass\",\n \"def __init__(self, category):\\n self.category = category\\n self.name = \\\"Filters.document.category('{}')\\\".format(self.category)\",\n \"def default_model():\\n return \\\"teenytweetynet\\\"\",\n \"def model_name(self) -> str:\\n return \\\"mock-model-name\\\"\",\n \"def __init__(self, display_name, model, category='OTHER', **kwargs):\\n super().__init__(display_name, **kwargs)\\n set_accessory_info(self, display_name, model)\\n self.category = getattr(Category, category, Category.OTHER)\",\n \"def category_name(self):\\n try:\\n category = self.proto.category.parent\\n return f'{category.name} - {self.proto.category.name}'\\n except AttributeError:\\n return self.proto.category.name\",\n \"def get_category_name(self):\\n return self._ctx.get(\\\"name\\\", self._ctx[\\\"id\\\"])\",\n \"def category(self):\\n return self._ctx.get(\\\"name\\\", self._ctx[\\\"id\\\"])\",\n \"def test_init_with_default_value_string(self):\\n categories = {\\\"asdfa\\\": 0.1, 2: 0.2, 3: 0.3, \\\"lalala\\\": 0.4}\\n dim = Categorical(\\\"yolo\\\", categories, default_value=\\\"asdfa\\\")\\n\\n assert type(dim.default_value) is str\",\n \"def __str__(self):\\n \\n return \\\"Category ID: %s %s\\\" % (self.category_id, self.name)\",\n \"def get_category(self) -> str:\\n return self.category\",\n \"def __init__(self, cat_name):\\n super(Cat, self).__init__(cat_name)\",\n \"def test_get_name(self):\\n name = \\\"The Name\\\"\\n event_category = EventCategory(name=name)\\n self.assertEqual(name, str(event_category), msg=(\\n 'Method ``__str__`` did not output event category name.'))\",\n \"def category(self) -> str:\\n return pulumi.get(self, \\\"category\\\")\",\n \"def create_category():\\n category = Category(name='testcategory', description=\\\"\\\", fee=DEFAULT_FEE)\\n category.save()\\n return category\",\n \"def get_model_title(self):\\n pass\",\n \"def test_create_category_with_existing_name(self):\\n sample_category()\\n res = self.client.post(CATEGORY_URL, {\\\"name\\\": \\\"place\\\"})\\n self.assertEqual(res.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertEqual(\\n res.data['errors']['name'][0],\\n 'This field must be unique.')\",\n \"def test_auto_slug(self):\\n category = Category.objects.create()\\n translation = CategoryTranslation.objects.create(\\n name=\\\"Charter Schools\\\", category=category)\\n self.assertEqual(category.slug, \\\"charter-schools\\\")\",\n \"def category_title(self):\\n categories = {c[0]:c[1] for c in self.CATEGORY_CHOICES}\\n if self.category in categories:\\n return categories[self.category]\",\n \"def category(self) -> pulumi.Input[str]:\\n return pulumi.get(self, \\\"category\\\")\",\n \"def test_0005_create_categories(self):\\n self.create_category(name='Test 0060 Workflow Features', description='Test 0060 - Workflow Features')\",\n \"def get_model_name(ind: int) -> str:\\n return f'{fizz_name}-{fizz_type.model_name}'\",\n \"def get_model_name():\\n return 'Central Tendency'\",\n \"def test_model_name_value(self):\\n \\n model_name = get_model()[0]\\n \\n # Check to make sure the model_name is 'iMac'\\n self.assertEqual(model_name, 'iMac')\",\n \"def __str__(self):\\n return '%s%s' % (self.name, ' - %s' % self.model if self.model else '')\",\n \"def display_name(self):\",\n \"def default_name(self):\\n return '[' + self.__class__.__name__ + ']'\",\n \"def __str__(self):\\r\\n return self.name\",\n \"def __str__(self):\\r\\n return self.name\",\n \"def __str__(self):\\r\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\",\n \"def __str__(self):\\n return self.name\"\n]","isConversational":false},"negative_scores":{"kind":"list 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attributes"},"document":{"kind":"string","value":"def test_products_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data, Product))\n self.assertEqual(str(data), 'django beginners')"},"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 test_product_fields(self):\n\n prd = Product.objects.get(id=1)\n\n # test the type of name field\n prd_type = prd._meta.get_field('name').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label name\n max_length = prd._meta.get_field('name').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label name\n prd_blank = prd._meta.get_field('name').blank\n self.assertTrue(prd_blank)\n # test null field in label name\n prd_null = prd._meta.get_field('name').null\n self.assertTrue(prd_null)\n\n # test the type of description field\n prd_type = prd._meta.get_field('description').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label description\n max_length = prd._meta.get_field('description').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label description\n prd_blank = prd._meta.get_field('description').blank\n self.assertTrue(prd_blank)\n # test null field in label description\n prd_null = prd._meta.get_field('description').null\n self.assertTrue(prd_null)\n\n # test the type of nutrition_grade field\n prd_type = prd._meta.get_field('nutrition_grade').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label nutrition_grade\n max_length = prd._meta.get_field('nutrition_grade').max_length\n self.assertEqual(max_length, 1)\n # test blank field in label nutrition_grade\n prd_blank = prd._meta.get_field('nutrition_grade').blank\n self.assertTrue(prd_blank)\n # test null field in label nutrition_grade\n prd_null = prd._meta.get_field('nutrition_grade').null\n self.assertTrue(prd_null)\n\n # test the type of barcode field\n prd_type = prd._meta.get_field('barcode').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label barcode\n max_length = prd._meta.get_field('barcode').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label barcode\n prd_blank = prd._meta.get_field('barcode').blank\n self.assertFalse(prd_blank)\n # test null field in label barcode\n prd_null = prd._meta.get_field('barcode').null\n self.assertFalse(prd_null)\n\n # test the type of url field\n prd_type = prd._meta.get_field('url').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label url\n max_length = prd._meta.get_field('url').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label url\n prd_blank = prd._meta.get_field('url').blank\n self.assertTrue(prd_blank)\n # test null field in label url\n prd_null = prd._meta.get_field('url').null\n self.assertTrue(prd_null)\n\n # test the type of url_pic field\n prd_type = prd._meta.get_field('url_pic').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label url_pic\n max_length = prd._meta.get_field('url_pic').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label url_pic\n prd_blank = prd._meta.get_field('url_pic').blank\n self.assertTrue(prd_blank)\n # test null field in label url_pic\n prd_null = prd._meta.get_field('url_pic').null\n self.assertTrue(prd_null)\n\n # test the type of store field\n prd_type = prd._meta.get_field('store').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label store\n max_length = prd._meta.get_field('store').max_length\n self.assertEqual(max_length, 255)\n # test blank field in label store\n prd_blank = prd._meta.get_field('store').blank\n self.assertTrue(prd_blank)\n # test null field in label store\n prd_null = prd._meta.get_field('store').null\n self.assertTrue(prd_null)\n\n # test the type of fat field\n prd_type = prd._meta.get_field('fat').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label fat max digits\n max_digits = prd._meta.get_field('fat').max_digits\n self.assertEqual(max_digits, 5)\n # label fat decimal places\n dec_places = prd._meta.get_field('fat').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label fat\n prd_blank = prd._meta.get_field('fat').blank\n self.assertTrue(prd_blank)\n # test null field in label fat\n prd_null = prd._meta.get_field('fat').null\n self.assertTrue(prd_null)\n\n # test the type of saturated_fat field\n prd_type = prd._meta.get_field('saturated_fat').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label saturated_fat max digits\n max_digits = prd._meta.get_field('saturated_fat').max_digits\n self.assertEqual(max_digits, 5)\n # label saturated_fat decimal places\n dec_places = prd._meta.get_field('saturated_fat').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label saturated_fat\n prd_blank = prd._meta.get_field('saturated_fat').blank\n self.assertTrue(prd_blank)\n # test null field in label saturated_fat\n prd_null = prd._meta.get_field('saturated_fat').null\n self.assertTrue(prd_null)\n\n # test the type of sugar field\n prd_type = prd._meta.get_field('sugar').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label sugar max digits\n max_digits = prd._meta.get_field('sugar').max_digits\n self.assertEqual(max_digits, 5)\n # label sugar decimal places\n dec_places = prd._meta.get_field('sugar').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label sugar\n prd_blank = prd._meta.get_field('sugar').blank\n self.assertTrue(prd_blank)\n # test null field in label sugar\n prd_null = prd._meta.get_field('sugar').null\n self.assertTrue(prd_null)\n\n # test the type of salt\n prd_type = prd._meta.get_field('salt').get_internal_type()\n self.assertEqual(prd_type, 'DecimalField')\n # label salt max digits\n max_digits = prd._meta.get_field('salt').max_digits\n self.assertEqual(max_digits, 5)\n # label salt decimal places\n dec_places = prd._meta.get_field('salt').decimal_places\n self.assertEqual(dec_places, 2)\n # test blank field in label salt\n prd_blank = prd._meta.get_field('salt').blank\n self.assertTrue(prd_blank)\n # test null field in label salt\n prd_null = prd._meta.get_field('salt').null\n self.assertTrue(prd_null)\n\n # test the type of prd_cat\n prd_type = prd._meta.get_field('prd_cat').get_internal_type()\n self.assertEqual(prd_type, 'ForeignKey')\n # label db_column\n fk = prd._meta.get_field('prd_cat').db_column\n self.assertEqual(fk, 'prd_cat')\n # test blank field in label prd_cat\n prd_blank = prd._meta.get_field('prd_cat').blank\n self.assertFalse(prd_blank)\n # test null field in label prd_cat\n prd_null = prd._meta.get_field('prd_cat').null\n self.assertFalse(prd_null)\n\n # Favourite table ----------------------------------------------------","def test_product_create(self):\n self._create_model(\"product\", self.product_data, [\"name\", \"description\", \"image_link\", \"price\"])","def test_Product(self):\n self.assertEquals(self.prod_1.pk, 1)\n self.assertEquals(self.prod_1.ean, '3350033118072')\n self.assertEquals(self.prod_1.name, 'test 1')\n self.assertEquals(self.prod_1.nutriscore, 'u')\n self.assertEquals(self.prod_1.category, 'cat 1')","def test_product(self):\n self.assertEqual(self.test_product.name, self.test_product_name)\n self.assertEqual(self.test_product.price, self.test_product_price)","def setUpTestData(cls):\n Product_type.objects.create(\n name='New_Product', display_name='New Product.')","def test_object_creation(self):\n serializer = ProductSerializer(data=self.data)\n self.assertTrue(serializer.is_valid())\n product = serializer.save()\n\n self.assertEqual(product.title, self.title)\n self.assertEqual(product.description, self.description)\n self.assertEqual(product.price, self.price)\n self.assertTrue(product.is_active)\n self.assertTrue(product.available)","def test_product_update(self):\n # first performe create\n id = self._create_model(\"product\", self.product_data, [\"name\", \"description\", \"image_link\", \"price\"])\n if id:\n # then performe update\n data = { \n \"name\": \"Changed the name\",\n \"description\": self.product_data[\"description\"],\n \"image_link\": self.product_data[\"image_link\"],\n \"price\": self.product_data[\"price\"]\n }\n self._update_model(\"product\", id, data, [\"name\"])\n self.assertIsNotNone(id)","def test_products_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data, Recipe))\n self.assertEqual(str(data), 'django beginners')","def test_prep_new_data(self):\n pass","def test_new_product(self):\n prod = Product(name='New Product', price=100, weight=60,\n flammability=0.9)\n self.assertEqual(prod.explode(), '...BABOOM!!')\n self.assertEqual(prod.stealability(), 'Very stealable!')","def test_custom_attribute_post(self):\n gen = self.generator.generate_custom_attribute\n _, cad = gen(\"product\", attribute_type=\"Text\", title=\"normal text\")\n pid = models.Person.query.first().id\n\n product_data = [\n {\n \"product\": {\n \"kind\": None,\n \"owners\": [],\n \"custom_attribute_values\": [{\n \"attribute_value\": \"my custom attribute value\",\n \"custom_attribute_id\": cad.id,\n }],\n \"contact\": {\n \"id\": pid,\n \"href\": \"/api/people/{}\".format(pid),\n \"type\": \"Person\"\n },\n \"title\": \"simple product\",\n \"description\": \"\",\n \"secondary_contact\": None,\n \"notes\": \"\",\n \"url\": \"\",\n \"reference_url\": \"\",\n \"slug\": \"\",\n \"context\": None\n }\n }\n ]\n\n response = self._post(product_data)\n ca_json = response.json[0][1][\"product\"][\"custom_attribute_values\"][0]\n self.assertIn(\"attributable_id\", ca_json)\n self.assertIn(\"attributable_type\", ca_json)\n self.assertIn(\"attribute_value\", ca_json)\n self.assertIn(\"id\", ca_json)\n self.assertEqual(ca_json[\"attribute_value\"],\n \"my custom attribute value\")\n\n product = models.Product.eager_query().first()\n self.assertEqual(len(product.custom_attribute_values), 1)\n self.assertEqual(\n product.custom_attribute_values[0].attribute_value,\n \"my custom attribute value\"\n )","def test_update_attribute_data(self):\n pass","def test_custom_attribute_put_add(self):\n gen = self.generator.generate_custom_attribute\n _, cad = gen(\"product\", attribute_type=\"Text\", title=\"normal text\")\n pid = models.Person.query.first().id\n\n product_data = [\n {\n \"product\": {\n \"kind\": None,\n \"owners\": [],\n \"contact\": {\n \"id\": pid,\n \"href\": \"/api/people/{}\".format(pid),\n \"type\": \"Person\"\n },\n \"title\": \"simple product\",\n \"description\": \"\",\n \"secondary_contact\": None,\n \"notes\": \"\",\n \"url\": \"\",\n \"reference_url\": \"\",\n \"slug\": \"\",\n \"context\": None\n }\n }\n ]\n\n response = self._post(product_data)\n product_url = response.json[0][1][\"product\"][\"selfLink\"]\n headers = self.client.get(product_url).headers\n\n product_data[0][\"product\"][\"custom_attribute_values\"] = [{\n \"attribute_value\": \"added value\",\n \"custom_attribute_id\": cad.id,\n }]\n\n response = self._put(product_url, product_data[0], extra_headers={\n 'If-Unmodified-Since': headers[\"Last-Modified\"],\n 'If-Match': headers[\"Etag\"],\n })\n\n product = response.json[\"product\"]\n\n self.assertEqual(len(product[\"custom_attribute_values\"]), 1)\n ca_json = product[\"custom_attribute_values\"][0]\n self.assertIn(\"attributable_id\", ca_json)\n self.assertIn(\"attributable_type\", ca_json)\n self.assertIn(\"attribute_value\", ca_json)\n self.assertIn(\"id\", ca_json)\n self.assertEqual(ca_json[\"attribute_value\"],\n \"added value\")\n\n product = models.Product.eager_query().first()\n self.assertEqual(len(product.custom_attribute_values), 1)\n self.assertEqual(\n product.custom_attribute_values[0].attribute_value,\n \"added value\"\n )\n\n headers = self.client.get(product_url).headers\n\n product_data[0][\"product\"][\"custom_attribute_values\"] = [{\n \"attribute_value\": \"edited value\",\n \"custom_attribute_id\": cad.id,\n }]\n\n response = self._put(product_url, product_data[0], extra_headers={\n 'If-Unmodified-Since': headers[\"Last-Modified\"],\n 'If-Match': headers[\"Etag\"],\n })\n\n product = response.json[\"product\"]\n ca_json = product[\"custom_attribute_values\"][0]\n self.assertIn(\"attributable_id\", ca_json)\n self.assertIn(\"attributable_type\", ca_json)\n self.assertIn(\"attribute_value\", ca_json)\n self.assertIn(\"id\", ca_json)\n self.assertEqual(ca_json[\"attribute_value\"],\n \"edited value\")","def test_update_product_required_fields(self):\n data = {\n 'pk': 1,\n 'name': None,\n 'description': '''\n Yogurt also spelled yoghurt, yogourt or yoghourt,\n is a food produced by bacterial fermentation of milk.\n '''\n }\n url = reverse('products:detail', kwargs={'pk': data['pk']})\n response = self.client.put(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertEqual(models.Product.objects.filter(name=None).count(), 0)","def test_prep_fields(self):\n pass","def setUp(self):\n super().setUp()\n list_of_product_types = [\n 'default_product_variant',\n 'multiple_product_variants',\n 'ceo_title'\n ]\n self.new_product = eval(f\"get_new_product_with_\" \\\n f\"{list_of_product_types[randint(0, len(list_of_product_types) - 1)]}()\")\n response = ProcessRequest('products.json').send_request(\n 'POST',\n data=self.new_product,\n expected_return_codes=[201],\n )\n self.product_id = response.response['product']['id']","def test_02_product_update(self):\n # Update new product state2 from default draft to sellable\n new_product = self.create_product()\n self.assertEqual(new_product.state2, 'draft')\n new_product.state2 = 'sellable'\n self.assertEqual(new_product.state2, 'sellable')\n\n # Same but to an existing demo product.\n demo_product = self.product_obj.browse(\n self.ref('product_lifecycle.product_product_4g'))\n self.assertEqual(demo_product.state2, 'sellable')\n demo_product.state2 = 'draft'\n self.assertEqual(demo_product.state2, 'draft')\n\n # Update new product invividual field (field defined in product.product\n # model).\n self.assertEqual(new_product.default_code, 'A2330')\n new_product.default_code = 'A2330-1'\n self.assertEqual(new_product.default_code, 'A2330-1')\n\n # Same but to an existing demo product.\n self.assertEqual(demo_product.default_code, 'A2329')\n demo_product.default_code = 'A2329-1'\n self.assertEqual(demo_product.default_code, 'A2329-1')\n\n # Update new product commom characteristic (field defined in\n # product.template) and check that affects the another product\n # variants\n self.assertFalse(new_product.description)\n new_product.description = 'This is a New Product'\n self.assertEqual(new_product.description, 'This is a New Product')\n self.assertEqual(demo_product.description, 'This is a New Product')\n demo_product.description = False\n self.assertFalse(demo_product.description)","def test_product_detail(self):\n # first performing create\n id = self._create_model(\"product\", self.product_data, [\"name\", \"description\", \"image_link\", \"price\"])\n if id:\n # then performing detail\n self._detail_model(\"product\", self.product_data, id, [\"name\", \"description\", \"image_link\", \"price\"])\n \n self.assertIsNotNone(id)","def test_custom_attribute_post_both(self):\n gen = self.generator.generate_custom_attribute\n _, cad = gen(\"product\", attribute_type=\"Text\", title=\"normal text\")\n cad_json = builder.json.publish(cad.__class__.query.get(cad.id))\n cad_json = builder.json.publish_representation(cad_json)\n pid = models.Person.query.first().id\n\n product_data = [\n {\n \"product\": {\n \"kind\": None,\n \"owners\": [],\n \"custom_attribute_definitions\":[\n cad_json,\n ],\n \"custom_attribute_values\": [{\n \"attribute_value\": \"new value\",\n \"custom_attribute_id\": cad.id,\n }],\n \"custom_attributes\": {\n cad.id: \"old value\",\n },\n \"contact\": {\n \"id\": pid,\n \"href\": \"/api/people/{}\".format(pid),\n \"type\": \"Person\"\n },\n \"title\": \"simple product\",\n \"description\": \"\",\n \"secondary_contact\": None,\n \"notes\": \"\",\n \"url\": \"\",\n \"reference_url\": \"\",\n \"slug\": \"\",\n \"context\": None\n }\n }\n ]\n\n response = self._post(product_data)\n ca_json = response.json[0][1][\"product\"][\"custom_attribute_values\"][0]\n self.assertEqual(ca_json[\"attribute_value\"], \"new value\")\n\n product = models.Product.eager_query().first()\n self.assertEqual(len(product.custom_attribute_values), 1)\n self.assertEqual(\n product.custom_attribute_values[0].attribute_value,\n \"new value\"\n )","def test_defaults(self):\n p = Product.objects.create(\n name=\"Product\", slug=\"product\", sku=\"4711\", price=42.0)\n\n self.assertEqual(p.name, \"Product\")\n self.assertEqual(p.slug, \"product\")\n self.assertEqual(p.sku, \"4711\")\n self.assertEqual(p.price, 42.0)\n self.assertEqual(p.effective_price, 42.0)\n self.assertEqual(p.short_description, \"\")\n self.assertEqual(p.description, \"\")\n self.assertEqual(len(p.images.all()), 0)\n\n self.assertEqual(p.meta_title, \"<name>\")\n self.assertEqual(p.meta_description, \"\")\n self.assertEqual(p.meta_keywords, \"\")\n\n self.assertEqual(len(p.related_products.all()), 0)\n self.assertEqual(len(p.accessories.all()), 0)\n\n self.assertEqual(p.for_sale, False)\n self.assertEqual(p.for_sale_price, 0.0)\n self.assertEqual(p.active, False)\n\n self.assertEqual(p.deliverable, True)\n self.assertEqual(p.manual_delivery_time, False)\n self.assertEqual(p.delivery_time, None)\n self.assertEqual(p.order_time, None)\n self.assertEqual(p.ordered_at, None)\n self.assertEqual(p.manage_stock_amount, False)\n self.assertEqual(p.stock_amount, 0)\n\n self.assertEqual(p.weight, 0)\n self.assertEqual(p.height, 0)\n self.assertEqual(p.length, 0)\n self.assertEqual(p.width, 0)\n\n self.assertEqual(p.tax, None)\n self.assertEqual(p.sub_type, STANDARD_PRODUCT)\n\n self.assertEqual(p.default_variant, None)\n self.assertEqual(p.variants_display_type, LIST)\n\n self.assertEqual(p.parent, None)\n self.assertEqual(p.active_name, False)\n self.assertEqual(p.active_sku, False)\n self.assertEqual(p.active_short_description, False)\n self.assertEqual(p.active_description, False)\n self.assertEqual(p.active_price, False)\n self.assertEqual(p.active_images, False)\n self.assertEqual(p.active_related_products, False)\n self.assertEqual(p.active_accessories, False)\n self.assertEqual(p.active_meta_description, False)\n self.assertEqual(p.active_meta_keywords, False)","def new_object_data(self):\n self.product_fixture = self.F.ProductFactory.create()\n modifiers = (self.datetime, self.resource_name)\n fields = {\n u\"name\": unicode(\"test_%s_%s\" % modifiers),\n u\"description\": unicode(\"test %s %s\" % modifiers),\n u\"product\": unicode(self.get_detail_url(\n \"product\", self.product_fixture.id)),\n u\"status\": unicode(\"draft\"),\n u\"created_by\": None,\n u\"modified_by\": None,\n u\"modified_on\": self.utcnow.strftime(\"%Y-%m-%d %H:%M:%S\"),\n }\n return fields","def setUp(self):\n # Request the Product Id by posting it\n response = self.client.post('/api/productsdata/',\n data=json.dumps(self.product_payload),\n content_type=self.content_type)\n\n # Checking the response\n self.assertEqual(response.status_code, 201)\n self.assertEqual(response.json().get('name'), 'Olive Oil')\n\n # Storing ID for further test cases checking\n type(self).product_id = response.json().get('id')","def test_data_object_vaporise(self):\n pass","def test_custom_attribute_get(self):\n gen = self.generator.generate_custom_attribute\n _, cad = gen(\"product\", attribute_type=\"Text\", title=\"normal text\")\n pid = models.Person.query.first().id\n\n product_data = [\n {\n \"product\": {\n \"kind\": None,\n \"owners\": [],\n \"custom_attribute_values\": [{\n \"attribute_value\": \"my custom attribute value\",\n \"custom_attribute_id\": cad.id,\n }],\n \"contact\": {\n \"id\": pid,\n \"href\": \"/api/people/{}\".format(pid),\n \"type\": \"Person\"\n },\n \"title\": \"simple product\",\n \"description\": \"\",\n \"secondary_contact\": None,\n \"notes\": \"\",\n \"url\": \"\",\n \"reference_url\": \"\",\n \"slug\": \"\",\n \"context\": None\n }\n }\n ]\n\n response = self._post(product_data)\n product_url = response.json[0][1][\"product\"][\"selfLink\"]\n get_response = self.client.get(product_url)\n product = get_response.json[\"product\"]\n self.assertIn(\"custom_attribute_values\", product)\n self.assertEqual(len(product[\"custom_attribute_values\"]), 1)\n cav = product[\"custom_attribute_values\"][0]\n self.assertIn(\"custom_attribute_id\", cav)\n self.assertIn(\"attribute_value\", cav)\n self.assertIn(\"id\", cav)","def test_create(self):\n self.assertEqual(Product.objects.count(), 2)\n payload = {\n 'name': 'New product',\n 'category': self.category_1.id,\n 'sku': '11111111',\n 'description': 'New product description',\n 'price': 39.99\n }\n\n headers = {\n 'HTTP_AUTHORIZATION': 'Token ' + str(self.token_admin)\n }\n response = self.client.post(\n '/api/products/', data=payload, content_type='application/json', **headers)\n self.assertEqual(response.status_code, 201)\n self.assertEqual(response['Content-Type'], 'application/json')\n self.assertEqual(Product.objects.count(), 3)\n\n product = Product.objects.get(name='New product')\n self.assertEqual(product.name, 'New product')\n self.assertEqual(product.category, self.category_1)\n self.assertEqual(product.sku, '11111111')\n self.assertEqual(product.description, 'New product description')\n self.assertEqual(float(product.price), 39.99)","def test_01_product_create(self):\n # Create new product with a replacement product\n product = self.create_product()\n\n # Check recently was created product with default 'In Development'\n # value state and that the replacement was assigned. This case also\n # check the read test.\n self.assertTrue(product)\n self.assertEqual(product.state2, 'draft')\n self.assertTrue(product.replacement_product_ids)\n self.assertEqual(len(product.replacement_product_ids), 1)\n self.assertEqual(product.replacement_product_ids[0].id,\n self.ref('product_lifecycle.product_product_4e'))","def test_model_saves_value_to_database( self ):\r\n\t\tretrieved_object = TestModel.objects.get( id = self.m_test_model.id )\r\n\t\tself.assertEqual( retrieved_object.custom_field, custom_data )","def test_product_labels(self):\n\n prd = Product.objects.get(id=1)\n # label name\n label_name = prd._meta.get_field('name').verbose_name\n self.assertEqual(label_name, 'name')\n # label description\n label_name = prd._meta.get_field('description').verbose_name\n self.assertEqual(label_name, 'description')\n # label nutrition_grade\n label_name = prd._meta.get_field('nutrition_grade').name\n self.assertEqual(label_name, 'nutrition_grade')\n # label barcode\n label_name = prd._meta.get_field('barcode').verbose_name\n self.assertEqual(label_name, 'barcode')\n # label url\n label_name = prd._meta.get_field('url').verbose_name\n self.assertEqual(label_name, 'url')\n # label url_pic\n label_name = prd._meta.get_field('url_pic').name\n self.assertEqual(label_name, 'url_pic')\n # label store\n label_name = prd._meta.get_field('store').verbose_name\n self.assertEqual(label_name, 'store')\n # label prd_cat\n label_name = prd._meta.get_field('prd_cat').name\n self.assertEqual(label_name, 'prd_cat')\n # label fat\n label_name = prd._meta.get_field('fat').verbose_name\n self.assertEqual(label_name, 'fat')\n # label saturated_fat\n label_name = prd._meta.get_field('saturated_fat').name\n self.assertEqual(label_name, 'saturated_fat')\n # label sugar\n label_name = prd._meta.get_field('sugar').verbose_name\n self.assertEqual(label_name, 'sugar')\n # label salt\n label_name = prd._meta.get_field('salt').verbose_name\n self.assertEqual(label_name, 'salt')","def test_product_nullables(self):\n self.assertIsNone(self.product3.main_image)\n self.assertIsNone(self.product3.protein)\n self.assertIsNone(self.product3.fat)\n self.assertIsNone(self.product3.carbs)\n self.assertIsNone(self.product3.calories)","def test_fieldValueTypes(self):\n # tests for \"method\" and \"datetime\" values follow later on ...\n # booleans are not tested yet\n\n factory = self.root.manage_addProduct['Formulator']\n factory.manage_add('form', 'ValueTest')\n factory.manage_add('form2', 'ValueTest')\n form = self.root.form\n form.manage_addField('int_field', 'Test Integer Field', 'IntegerField')\n form.manage_addField('float_field', 'Test Float Field', 'FloatField')\n form.manage_addField('date_field', 'Test Date Field', 'DateTimeField')\n form.manage_addField('list_field', 'Test List Field', 'ListField')\n form.manage_addField(\n 'multi_field',\n 'Test Checkbox Field',\n 'MultiCheckBoxField')\n form.manage_addField('link_field', 'Test Link Field', 'LinkField')\n form.manage_addField('empty_field', 'Test Empty Field', 'StringField')\n int_field = form.int_field\n float_field = form.float_field\n date_field = form.date_field\n list_field = form.list_field\n multi_field = form.multi_field\n link_field = form.link_field\n empty_field = form.empty_field\n\n # XXX editing fields by messing with a fake request\n # -- any better way to do this?\n # (could assign to \"values\" directly ...)\n\n default_values = {'field_title': 'Test Title',\n 'field_display_width': '92',\n 'field_required': 'checked',\n 'field_enabled': 'checked',\n }\n try:\n form_values = default_values.copy()\n form_values.update({'field_default': 'None',\n 'field_required': '',\n })\n empty_field.manage_edit(REQUEST=TestRequest(form=form_values))\n\n form_values = default_values.copy()\n form_values.update({'field_default': '42',\n 'field_enabled': 'checked'})\n int_field.manage_edit(REQUEST=TestRequest(form=form_values))\n\n form_values = default_values.copy()\n form_values.update({'field_default': '1.7'})\n float_field.manage_edit(REQUEST=TestRequest(form=form_values))\n\n # XXX cannot test \"defaults to now\", as this may fail randomly\n form_values = default_values.copy()\n form_values.update({'field_input_style': 'list',\n 'field_input_order': 'mdy',\n 'field_date_only': '',\n 'field_css_class': 'test_css',\n 'field_time_separator': '$'})\n date_field.manage_edit(REQUEST=TestRequest(form=form_values))\n\n form_values = default_values.copy()\n form_values.update({'field_default': 'foo',\n 'field_size': '1',\n 'field_items': 'Foo | foo\\n Bar | bar'})\n list_field.manage_edit(REQUEST=TestRequest(form=form_values))\n\n form_values = default_values.copy()\n form_values.update(\n {'field_default': 'foo',\n 'field_size': '3',\n 'field_items': 'Foo | foo\\n Bar | bar\\nBaz | baz',\n 'field_orientation': 'horizontal',\n 'field_view_separator': '<br />\\n'})\n multi_field.manage_edit(REQUEST=TestRequest(form=form_values))\n\n form_values = default_values.copy()\n form_values.update({'field_default': 'http://www.absurd.org',\n 'field_required': '1',\n 'field_check_timeout': '5.0',\n 'field_link_type': 'external',\n })\n link_field.manage_edit(REQUEST=TestRequest(form=form_values))\n\n except ValidationError as e:\n self.fail('error when editing field %s; error message: %s' %\n (e.field_id, e.error_text))\n\n form2 = self.root.form2\n\n xml = formToXML(form)\n XMLToForm(xml, form2)\n\n self.assertEqualForms(form, form2)\n\n request = TestRequest()\n request.form['field_int_field'] = '42'\n request.form['field_float_field'] = '2.71828'\n request.form['subfield_date_field_month'] = '11'\n request.form['subfield_date_field_day'] = '11'\n # This field only allows ten years in the future, today 2023-03-14\n request.form['subfield_date_field_year'] = '2033'\n request.form['subfield_date_field_hour'] = '09'\n request.form['subfield_date_field_minute'] = '59'\n request.form['field_list_field'] = 'bar'\n request.form['field_multi_field'] = ['bar', 'baz']\n request.form['field_link_field'] = 'http://www.zope.org'\n try:\n result1 = form.validate_all(request)\n except FormValidationError as e:\n # XXX only render first error ...\n self.fail('error when editing form1, field %s; error message: %s' %\n (e.errors[0].field_id, e.errors[0].error_text))\n\n try:\n result2 = form2.validate_all(request)\n except FormValidationError as e:\n # XXX only render first error ...\n self.fail('error when editing form1, field %s; error message: %s' %\n (e.errors[0].field_id, e.errors[0].error_text))\n self.assertEqual(result1, result2)\n self.assertEqual(42, result2['int_field'])\n self.assertEqual(2.71828, result2['float_field'])\n\n # check link field timeout value\n self.assertEqual(link_field.get_value('check_timeout'),\n form2.link_field.get_value('check_timeout'))\n\n # XXX not tested: equal form validation failure on invalid input","def test_add_new_product(self):\n response=self.add_new_product()\n result = json.loads(response.data.decode('utf-8'))\n self.assertEqual(response.status_code, 201, result['New Product'])","def test_get_attribute_data(self):\n pass","def test_custom_attribute_post_old(self):\n gen = self.generator.generate_custom_attribute\n _, cad = gen(\"product\", attribute_type=\"Text\", title=\"normal text\")\n cad_json = builder.json.publish(cad.__class__.query.get(cad.id))\n cad_json = builder.json.publish_representation(cad_json)\n pid = models.Person.query.first().id\n\n product_data = [\n {\n \"product\": {\n \"kind\": None,\n \"owners\": [],\n \"custom_attribute_definitions\":[\n cad_json,\n ],\n \"custom_attribute_values\": [{\n \"id\": 1,\n \"href\": \"/api/custom_attribute_values/1\",\n \"type\": \"CustomAttributeValues\"\n }],\n \"custom_attributes\": {\n cad.id: \"old value\",\n },\n \"contact\": {\n \"id\": pid,\n \"href\": \"/api/people/{}\".format(pid),\n \"type\": \"Person\"\n },\n \"title\": \"simple product\",\n \"description\": \"\",\n \"secondary_contact\": None,\n \"notes\": \"\",\n \"url\": \"\",\n \"reference_url\": \"\",\n \"slug\": \"\",\n \"context\": None\n }\n }\n ]\n\n response = self._post(product_data)\n self.assert200(response)\n ca_json = response.json[0][1][\"product\"][\"custom_attribute_values\"][0]\n self.assertEqual(ca_json[\"attribute_value\"], \"old value\")\n\n product = models.Product.eager_query().first()\n self.assertEqual(len(product.custom_attribute_values), 1)\n self.assertEqual(\n product.custom_attribute_values[0].attribute_value,\n \"old value\"\n )","def test_create_product(self):\n url = reverse('products:list')\n data = {\n 'name': 'Banana',\n 'description': '''\n Bananas are one of the most widely consumed fruits in the\n world for good reason. Eating them could help lower blood\n pressure and reduce the risks of cancer and asthma.\n '''\n }\n response = self.client.post(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertEqual(models.Product.objects.filter(name=data['name']).count(), 1)","def test_default_product_price(self):\n prod = product('Test Product')\n self.assertEqual(prod.price, 10)\n self.assertEqual(prod.weight, 20)","def setUp(self):\n super(TestProductLifecycle, self).setUp()\n self.sellable_product = self.ref('product.product_product_4c')\n self.obsolete_product = self.ref('product.product_product_4b')\n self.draft_product = self.ref('product.product_product_4')\n self.sellable_replacement = self.ref(\n 'product_lifecycle.product_product_4g')\n self.obsolete_replacement = self.ref(\n 'product_lifecycle.product_product_4f')\n self.product_obj = self.env['product.product']\n self.order_obj = self.env['purchase.order']\n self.imd_obj = self.env['ir.model.data']\n self.wiz_obj = self.env['replacement.product']","def test_create_product_success(self):\n res = self.client.post(PRODUCTS_URL, PRODUCT_PAYLOAD)\n\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\n self.assertEqual(res.data['supplier_id'], self.user.id)\n self.assertEqual(res.data['name'], PRODUCT_PAYLOAD['name'])\n self.assertEqual(res.data['price'], PRODUCT_PAYLOAD['price'])","def test_create_product(self):\n obj1 = Product.objects.first()\n obj2 = Product.objects.last()\n\n expected_str1 = f\"{obj1.code} -- {obj1.name} -- \" \\\n f\"{obj1.schedule} -- {obj1.spl}\"\n self.assertEqual(str(obj1), expected_str1)\n self.assertNotEqual(str(obj2), expected_str1)","def test_data_object_post(self):\n pass","def test_changedata(self):\n p = model.Person(firstname=\"Tobias\", lastname=\"Thelen\",\n email=\"tthelen@uos.de\", hobbies=[\"singen\",\"springen\",\"fröhlichsein\"])\n id = p.store()\n\n p = model.Person(id=id)\n p['firstname'] = \"Walter\"\n p.store()\n\n p2 = model.Person(id=id)\n self.assertEqual(p2.firstname, \"Walter\")\n self.assertEqual(p2.lastname, \"Thelen\")","def attribute(self, data, model, model_name):","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)\n self.assertEqual(prod.weight, 20)\n self.assertEqual(prod.flammability, 0.5)","def test_record(self):\n self.assertEqual(self.record.attrib['id'],\n 'nhc_def_conf_adt_user',\n 'Incorrect ID ')\n self.assertEqual(self.record.attrib['model'],\n 'res.users',\n 'Incorrect model')","def setUp(self) -> None:\n self.default = Product('Test Product')\n self.tester = Product('Tester', price=15, weight=2)","def test_create_drug_successful(self):\n generic = models.Generic.objects.create(\n generic_name=\"Lisinopril\"\n )\n print(type(generic))\n drug = models.Drug.objects.create(\n product_id='12345',\n generic_name=generic,\n product_ndc=\"99999-9999\",\n brand_name=\"Zestril\"\n )\n\n self.assertEqual(str(drug), f\"{drug.product_id} {drug.product_ndc}\")","def test_create_record(self):\n pass","def test_add_product(self):\n view = ProductCreateListView.as_view({'post': 'create'})\n uri = reverse('products:create/list-products')\n data = {\n \"name\": \"Iphone 7\",\n \"description\": \"Mobile phone\",\n \"price\": 200,\n \"is_available\": True\n }\n request = self.factory.post(uri, data, HTTP_AUTHORIZATION='Token {}'.format(self.token_admin.key))\n request.user = self.user['admin']\n response = view(request)\n self.assertEqual(response.status_code, 201,\n f'Expected Response Code 201, received {response.status_code} instead.')","def test_product_is_saved_on_creation(self):\n self.assertEquals(self.prod_1.image, 'product_default.png')","def test_insert_data(self):\n self.engine.insert_data(self.correct_camper_data)\n self.assertDictEqual(\n self.ds.store,\n {\n 3: Camper(**{\n \"id\": 3,\n \"latitude\": 38.7436883,\n \"longitude\": -9.1952226,\n \"price_per_day\": 85.5,\n \"weekly_discount\": 0.25\n })\n })","def test_attr(self):\n new_review = Review()\n self.assertTrue(hasattr(new_review, \"id\"))\n self.assertTrue(hasattr(new_review, \"created_at\"))\n self.assertTrue(hasattr(new_review, \"updated_at\"))\n self.assertTrue(hasattr(new_review, \"place_id\"))\n self.assertTrue(hasattr(new_review, \"user_id\"))\n self.assertTrue(hasattr(new_review, \"text\"))","def test_create_basic_recipe(self):\n payload = {\"title\": \"Vietnamese Cake\",\n \"time_minutes\": 45,\n \"price\": 5.55}\n res = self.client.post(RECIPE_URL, payload)\n recipe = Recipe.objects.get(id=res.data['id'])\n for key in payload.keys():\n if key == \"price\":\n self.assertEqual(round(Decimal(payload[key]), 2), getattr(recipe, key))\n else:\n self.assertEqual(payload[key], getattr(recipe, key))\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)","def test_cannot_make_sale_with_wrong_datatypes(self):\n reply = self.admin_add_product()\n\n resp = self.admin_create_user()\n reply = self.attendant_login()\n token = reply['token']\n sale = dict(products = [\n {\n \"prod_name\":\"NY_345\", \n \"quantity\":'Kummi'\n }\n\t ])\n resp = self.client.post(\n '/api/v1/sales',\n content_type='application/json',\n data=json.dumps(sale),\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n \n self.assertEqual(reply['message'], 'prod_name & quantity should be a character & number respectively!')\n self.assertEqual(resp.status_code, 400)","def test_category_model_entry(self): # PRUEBA DE CARGAR LA INFORMACION EN LOS MODELOS A TESTEAR\n data = self.data1\n self.assertTrue(isinstance(data, Category)) # REALIZA EL TESTEO ","def test_attr(self):\n self.assertTrue(hasattr(BaseModel, \"__str__\"))\n self.assertTrue(hasattr(BaseModel, \"save\"))\n self.assertTrue(hasattr(BaseModel, \"to_dict\"))\n self.assertTrue(\"updated_at\" in self.my_model1.__dict__)\n self.assertTrue(\"created_at\" in self.my_model1.__dict__)\n self.assertTrue(\"id\" in self.my_model1.__dict__)","def test_add_new_product(self):\n self._require_login(self.user1)\n post_data = {\n \"category\": {\n \"name\": \"deportes\",\n \"index\": 1\n },\n \"price\": \"4500.0\",\n \"name\": \"Producto 3\",\n \"description\": \"Descripcion de producto 3\"\n }\n\n response = self.client.post('/api/1.0/products/', data=post_data, format='json')\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\n self.assertNotEqual(response.data['published_date'], '')\n self.assertEqual(response.data['name'], 'Producto 3')\n self.assertEqual(response.data['description'], 'Descripcion de producto 3')\n self.assertEqual(response.data['selling'], True)\n self.assertEqual(response.data['price'], '4500.0')\n self.assertEqual(response.data['seller']['user']['username'], self.username)\n self.assertEqual(response.data['category']['name'], 'deportes')","def test_default_product_price(self):\r\n prod = Product('Test Product')\r\n self.assertEqual(prod.price, 10)","def test_get_attributes(self):\n pass","def setup(self):\n print(\"INIT DATA\")\n\n self.nutella = Product.objects.create(name=\"nutella\", nutriscore=\"e\")","def test_get_item(self):\n self.assertEqual(self.expected_described_model, self.mapped_model[\"described_model_type\"])","def test_record(self):\n self.assertEqual(self.record.attrib['id'],\n 'nhc_demo_patient_0',\n 'Incorrect ID ')\n self.assertEqual(self.record.attrib['model'],\n 'nh.clinical.patient',\n 'Incorrect model')","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_default_product_price(self):\n prod = Product('Test Product')\n self.assertEqual(prod.price, 10)","def test_update_product(self):\n data = {\n 'pk': 1,\n 'name': 'New yogurt',\n 'description': '''\n Yogurt also spelled yoghurt, yogourt or yoghourt,\n is a food produced by bacterial fermentation of milk.\n '''\n }\n url = reverse('products:detail', kwargs={'pk': data['pk']})\n response = self.client.patch(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_200_OK)\n self.assertEqual(models.Product.objects.filter(name=data['name']).count(), 1)","def test_required_field_values_are_present():\n\n model_definition = {'language': {'type': 'fixed',\n 'required': True,\n 'persisted': True},\n 'source': {'type': 'list',\n 'required': False,\n 'persisted': True},\n 'resources.title': {'type': 'text',\n 'required': True,\n 'persisted': True}}\n product1 = {'language': 'english'}\n factory = ProductModelFactory(model_definition)\n factory.build('product1', product1)","def test_update_record(self):\n pass","def test_create_product_successful(self):\n \n ProductCategory.objects.create(name=\"test name\", description=\"new name\")\n test_key = ProductCategory.objects.values()[0]\n # print(test_key)\n payload = {\n 'name': 'Test Tag',\n 'product_category_id': test_key.get('id'),\n 'unit_price': 100,\n 'quantity': 12,\n 'description': 'Test description'\n }\n \n res = self.client.post(PRODUCT_ADD_URL, payload)\n\n # print(res.data)\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)","def test_default_prodct(self):\n prod = Product(\"default\")\n self.assertEqual(prod.price, 10)\n self.assertAlmostEqual(prod.flammability, 0.5)\n self.assertEqual(prod.weight, 20)\n self.assertEqual(prod.stealability(), \"Kinda stealable.\")","def test_create_valid_product(self):\n product_name = \"Swift Iris\"\n size = Size.SIZE_4_5\n colour = \"Red\"\n price = 47.00\n product_type = ProductType.SHOE\n product_code = \"A\"\n department = Department.LADIES\n\n product = Product(\n name=product_name,\n size=size,\n colour=colour,\n price=price,\n product_type=product_type,\n product_code=product_code,\n department=department,\n )\n with self.assertRaises(ValidationError):\n product.full_clean()","def test_get_additional_seller_inputs(self):\n pass","def test_missing_mandatory_attributes():\n model_definition = {'source': {'type': 'list',\n 'required': True,\n 'persisted': True},\n 'resources.title': {'type': 'text',\n 'required': True,\n 'persisted': True}}\n # missing language in the model\n _ = ProductModelFactory(model_definition)","def test_new_attribute_data(db_session):\n new_att = Attribute(\n label=\"test_label\",\n desc=\"test_desc\"\n )\n db_session.add(new_att)\n att = db_session.query(Attribute).all()\n assert att[0].label == \"test_label\"\n assert att[0].desc == \"test_desc\"","def test_books_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data,Books))","def test_model_keeps_value( self ):\r\n\t\tself.assertEqual( self.m_test_model.custom_field, custom_data )","def test_admin_create_product(self):\n resp = self.admin_register()\n reply = self.admin_login()\n token = reply['token']\n product = dict(\n prod_name='NY_denims',\n category='denims',\n stock=20,\n price=150\n )\n resp = self.client.post(\n '/api/v1/products',\n content_type='application/json',\n data=json.dumps(product),\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n \n self.assertEqual(reply['message'], 'Product successfully added to Inventory!')\n self.assertEqual(resp.status_code, 201)","def test_update_product_success(self):\n product = sample_product(supplier_id=self.user, name='old-name', price='100.00')\n url = detail_url(product.id)\n new_product = {\n 'name': 'new_name',\n 'price': '1000.0',\n 'image': ''\n }\n res = self.client.put(url, new_product)\n\n self.assertEqual(res.status_code, status.HTTP_200_OK)\n self.assertEqual(res.data['name'], new_product['name'])","def test_model_allows_assigning_data_after_creation( self ):\r\n\t\tanother_data = { \"another_meta\" : \"another_value\" }\r\n\t\tself.m_test_model.custom_field = another_data\r\n\t\tself.m_test_model.save();\r\n\r\n\t\t# First test that the same model has assigned value\r\n\t\tself.assertEqual( self.m_test_model.custom_field, another_data )\r\n\r\n\t\t# Now test that retrieved model from database persists the value\r\n\t\tretrieved_object = TestModel.objects.get( id = self.m_test_model.id )\r\n\t\tself.assertEqual( retrieved_object.custom_field, another_data )","def test_generate_data_model():\n params = dict(name=\"test\", type_=str, is_required=True)\n\n data_model = DataModel(\"test\", [Attribute(**params)])\n\n assert generate_data_model(\"test\", {\"test\": \"str\"}) == data_model","def test_process_data(self):\n pass","def test_model_field_types(self):\n self.assertTrue(isinstance(self.UserInfo.have_siblings, str))\n self.assertTrue(isinstance(self.UserInfo.known_env_exposures, str))\n self.assertTrue(isinstance(self.UserInfo.known_genetic_mutations, str))\n self.assertTrue(isinstance(self.UserInfo.age, int))","def test_items(self):\n self.assertEqual([(\"described_model_type\", self.expected_described_model)], list(self.mapped_model.items()))","def test_create_same_product(self):\n url = reverse('products:list')\n data = {\n 'name': 'Eggs',\n 'description': '''\n Bird and reptile eggs consist of a protective eggshell,\n albumen (egg white), and vitellus (egg yolk),\n contained within various thin membranes.\n The most commonly consumed eggs are chicken eggs.\n Other poultry eggs including those of duck and quail\n also are eaten.\n '''\n }\n product_count_before = models.Product.objects.count()\n response = self.client.post(url, data, format='json')\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\n self.assertEqual(models.Product.objects.count(), product_count_before)","def test_category_model_entry(self):\n data = self.data1\n self.assertEqual(str(data), 'django')","def test_set_fields():\n\n document = DocumentFactory.create(\n charfield=\"some chars\",\n textfield=\"some text\",\n decimalfield=0.0815,\n integerfield=42,\n )\n\n assert document.charfield == \"some chars\"\n assert document.textfield == \"some text\"\n assert document.decimalfield == 0.0815\n assert document.integerfield == 42","def test_form_submition_and_product_creation(user_company, client, authenticated_user):\n add_product_url = reverse('add-product')\n response = client.post(add_product_url, {\n 'name': 'Test_product_name',\n 'serial_number': 'XZ001', \n 'manufacturer': 'Test company',\n 'price_net': 415.26,\n 'description': fake.paragraph(),\n 'stock': 16\n })\n assert response.status_code == 302\n product = Product.objects.get(name='Test_product_name')\n assert response.url == reverse('product-detail',kwargs={'pk': product.pk}) \n assert product.user == authenticated_user\n assert product in Product.objects.all()","def test_default_product_weight(self):\r\n prod = Product('Test Product')\r\n self.assertEqual(prod.weight, 20)","def test_products_ref_users_put(self):\n pass","def test_field_extra(self):\n setting_model = Setting()\n\n test_extra = {}\n setting_model.field_extra = test_extra\n self.assertEqual(setting_model.field_extra, test_extra)\n\n test_extra = {'min_lenght': 5, 'max_length': 12}\n setting_model.field_extra = test_extra\n self.assertEqual(setting_model.field_extra, test_extra)","def test_set_data_attributes(self):\n\n self.mediator.get_results()","def test_cannot_make_sale_with_missing_fields(self):\n reply = self.admin_add_product()\n\n resp = self.admin_create_user()\n reply = self.attendant_login()\n token = reply['token']\n sale = dict(products = [\n {\n \"prod_name\":\"\", \n \"quantity\":10\n }\n\t ])\n resp = self.client.post(\n '/api/v1/sales',\n content_type='application/json',\n data=json.dumps(sale),\n headers={'Authorization': 'Bearer {}'.format(token)}\n )\n reply = json.loads(resp.data.decode())\n \n self.assertEqual(reply['message'], 'One of the fields is empty!')\n self.assertEqual(resp.status_code, 400)","def test_create_company_props_using_post(self):\n pass","def test_product_delete(self):\n # first performe create\n id = self._create_model(\"product\", self.product_data, [\"name\", \"description\", \"image_link\", \"price\"])\n if id:\n # then performe delete\n self._delete_model(\"product\", id)\n self.assertIsNotNone(id)"],"string":"[\n \"def test_product_fields(self):\\n\\n prd = Product.objects.get(id=1)\\n\\n # test the type of name field\\n prd_type = prd._meta.get_field('name').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label name\\n max_length = prd._meta.get_field('name').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label name\\n prd_blank = prd._meta.get_field('name').blank\\n self.assertTrue(prd_blank)\\n # test null field in label name\\n prd_null = prd._meta.get_field('name').null\\n self.assertTrue(prd_null)\\n\\n # test the type of description field\\n prd_type = prd._meta.get_field('description').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label description\\n max_length = prd._meta.get_field('description').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label description\\n prd_blank = prd._meta.get_field('description').blank\\n self.assertTrue(prd_blank)\\n # test null field in label description\\n prd_null = prd._meta.get_field('description').null\\n self.assertTrue(prd_null)\\n\\n # test the type of nutrition_grade field\\n prd_type = prd._meta.get_field('nutrition_grade').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label nutrition_grade\\n max_length = prd._meta.get_field('nutrition_grade').max_length\\n self.assertEqual(max_length, 1)\\n # test blank field in label nutrition_grade\\n prd_blank = prd._meta.get_field('nutrition_grade').blank\\n self.assertTrue(prd_blank)\\n # test null field in label nutrition_grade\\n prd_null = prd._meta.get_field('nutrition_grade').null\\n self.assertTrue(prd_null)\\n\\n # test the type of barcode field\\n prd_type = prd._meta.get_field('barcode').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label barcode\\n max_length = prd._meta.get_field('barcode').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label barcode\\n prd_blank = prd._meta.get_field('barcode').blank\\n self.assertFalse(prd_blank)\\n # test null field in label barcode\\n prd_null = prd._meta.get_field('barcode').null\\n self.assertFalse(prd_null)\\n\\n # test the type of url field\\n prd_type = prd._meta.get_field('url').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label url\\n max_length = prd._meta.get_field('url').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label url\\n prd_blank = prd._meta.get_field('url').blank\\n self.assertTrue(prd_blank)\\n # test null field in label url\\n prd_null = prd._meta.get_field('url').null\\n self.assertTrue(prd_null)\\n\\n # test the type of url_pic field\\n prd_type = prd._meta.get_field('url_pic').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label url_pic\\n max_length = prd._meta.get_field('url_pic').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label url_pic\\n prd_blank = prd._meta.get_field('url_pic').blank\\n self.assertTrue(prd_blank)\\n # test null field in label url_pic\\n prd_null = prd._meta.get_field('url_pic').null\\n self.assertTrue(prd_null)\\n\\n # test the type of store field\\n prd_type = prd._meta.get_field('store').get_internal_type()\\n self.assertEqual(prd_type, 'CharField')\\n # label store\\n max_length = prd._meta.get_field('store').max_length\\n self.assertEqual(max_length, 255)\\n # test blank field in label store\\n prd_blank = prd._meta.get_field('store').blank\\n self.assertTrue(prd_blank)\\n # test null field in label store\\n prd_null = prd._meta.get_field('store').null\\n self.assertTrue(prd_null)\\n\\n # test the type of fat field\\n prd_type = prd._meta.get_field('fat').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label fat max digits\\n max_digits = prd._meta.get_field('fat').max_digits\\n self.assertEqual(max_digits, 5)\\n # label fat decimal places\\n dec_places = prd._meta.get_field('fat').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label fat\\n prd_blank = prd._meta.get_field('fat').blank\\n self.assertTrue(prd_blank)\\n # test null field in label fat\\n prd_null = prd._meta.get_field('fat').null\\n self.assertTrue(prd_null)\\n\\n # test the type of saturated_fat field\\n prd_type = prd._meta.get_field('saturated_fat').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label saturated_fat max digits\\n max_digits = prd._meta.get_field('saturated_fat').max_digits\\n self.assertEqual(max_digits, 5)\\n # label saturated_fat decimal places\\n dec_places = prd._meta.get_field('saturated_fat').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label saturated_fat\\n prd_blank = prd._meta.get_field('saturated_fat').blank\\n self.assertTrue(prd_blank)\\n # test null field in label saturated_fat\\n prd_null = prd._meta.get_field('saturated_fat').null\\n self.assertTrue(prd_null)\\n\\n # test the type of sugar field\\n prd_type = prd._meta.get_field('sugar').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label sugar max digits\\n max_digits = prd._meta.get_field('sugar').max_digits\\n self.assertEqual(max_digits, 5)\\n # label sugar decimal places\\n dec_places = prd._meta.get_field('sugar').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label sugar\\n prd_blank = prd._meta.get_field('sugar').blank\\n self.assertTrue(prd_blank)\\n # test null field in label sugar\\n prd_null = prd._meta.get_field('sugar').null\\n self.assertTrue(prd_null)\\n\\n # test the type of salt\\n prd_type = prd._meta.get_field('salt').get_internal_type()\\n self.assertEqual(prd_type, 'DecimalField')\\n # label salt max digits\\n max_digits = prd._meta.get_field('salt').max_digits\\n self.assertEqual(max_digits, 5)\\n # label salt decimal places\\n dec_places = prd._meta.get_field('salt').decimal_places\\n self.assertEqual(dec_places, 2)\\n # test blank field in label salt\\n prd_blank = prd._meta.get_field('salt').blank\\n self.assertTrue(prd_blank)\\n # test null field in label salt\\n prd_null = prd._meta.get_field('salt').null\\n self.assertTrue(prd_null)\\n\\n # test the type of prd_cat\\n prd_type = prd._meta.get_field('prd_cat').get_internal_type()\\n self.assertEqual(prd_type, 'ForeignKey')\\n # label db_column\\n fk = prd._meta.get_field('prd_cat').db_column\\n self.assertEqual(fk, 'prd_cat')\\n # test blank field in label prd_cat\\n prd_blank = prd._meta.get_field('prd_cat').blank\\n self.assertFalse(prd_blank)\\n # test null field in label prd_cat\\n prd_null = prd._meta.get_field('prd_cat').null\\n self.assertFalse(prd_null)\\n\\n # Favourite table ----------------------------------------------------\",\n \"def test_product_create(self):\\n self._create_model(\\\"product\\\", self.product_data, [\\\"name\\\", \\\"description\\\", \\\"image_link\\\", \\\"price\\\"])\",\n \"def test_Product(self):\\n self.assertEquals(self.prod_1.pk, 1)\\n self.assertEquals(self.prod_1.ean, '3350033118072')\\n self.assertEquals(self.prod_1.name, 'test 1')\\n self.assertEquals(self.prod_1.nutriscore, 'u')\\n self.assertEquals(self.prod_1.category, 'cat 1')\",\n \"def test_product(self):\\n self.assertEqual(self.test_product.name, self.test_product_name)\\n self.assertEqual(self.test_product.price, self.test_product_price)\",\n \"def setUpTestData(cls):\\n Product_type.objects.create(\\n name='New_Product', display_name='New Product.')\",\n \"def test_object_creation(self):\\n serializer = ProductSerializer(data=self.data)\\n self.assertTrue(serializer.is_valid())\\n product = serializer.save()\\n\\n self.assertEqual(product.title, self.title)\\n self.assertEqual(product.description, self.description)\\n self.assertEqual(product.price, self.price)\\n self.assertTrue(product.is_active)\\n self.assertTrue(product.available)\",\n \"def test_product_update(self):\\n # first performe create\\n id = self._create_model(\\\"product\\\", self.product_data, [\\\"name\\\", \\\"description\\\", \\\"image_link\\\", \\\"price\\\"])\\n if id:\\n # then performe update\\n data = { \\n \\\"name\\\": \\\"Changed the name\\\",\\n \\\"description\\\": self.product_data[\\\"description\\\"],\\n \\\"image_link\\\": self.product_data[\\\"image_link\\\"],\\n \\\"price\\\": self.product_data[\\\"price\\\"]\\n }\\n self._update_model(\\\"product\\\", id, data, [\\\"name\\\"])\\n self.assertIsNotNone(id)\",\n \"def test_products_model_entry(self):\\n data = self.data1\\n self.assertTrue(isinstance(data, Recipe))\\n self.assertEqual(str(data), 'django beginners')\",\n \"def test_prep_new_data(self):\\n pass\",\n \"def test_new_product(self):\\n prod = Product(name='New Product', price=100, weight=60,\\n flammability=0.9)\\n self.assertEqual(prod.explode(), '...BABOOM!!')\\n self.assertEqual(prod.stealability(), 'Very stealable!')\",\n \"def test_custom_attribute_post(self):\\n gen = self.generator.generate_custom_attribute\\n _, cad = gen(\\\"product\\\", attribute_type=\\\"Text\\\", title=\\\"normal text\\\")\\n pid = models.Person.query.first().id\\n\\n product_data = [\\n {\\n \\\"product\\\": {\\n \\\"kind\\\": None,\\n \\\"owners\\\": [],\\n \\\"custom_attribute_values\\\": [{\\n \\\"attribute_value\\\": \\\"my custom attribute value\\\",\\n \\\"custom_attribute_id\\\": cad.id,\\n }],\\n \\\"contact\\\": {\\n \\\"id\\\": pid,\\n \\\"href\\\": \\\"/api/people/{}\\\".format(pid),\\n \\\"type\\\": \\\"Person\\\"\\n },\\n \\\"title\\\": \\\"simple product\\\",\\n \\\"description\\\": \\\"\\\",\\n \\\"secondary_contact\\\": None,\\n \\\"notes\\\": \\\"\\\",\\n \\\"url\\\": \\\"\\\",\\n \\\"reference_url\\\": \\\"\\\",\\n \\\"slug\\\": \\\"\\\",\\n \\\"context\\\": None\\n }\\n }\\n ]\\n\\n response = self._post(product_data)\\n ca_json = response.json[0][1][\\\"product\\\"][\\\"custom_attribute_values\\\"][0]\\n self.assertIn(\\\"attributable_id\\\", ca_json)\\n self.assertIn(\\\"attributable_type\\\", ca_json)\\n self.assertIn(\\\"attribute_value\\\", ca_json)\\n self.assertIn(\\\"id\\\", ca_json)\\n self.assertEqual(ca_json[\\\"attribute_value\\\"],\\n \\\"my custom attribute value\\\")\\n\\n product = models.Product.eager_query().first()\\n self.assertEqual(len(product.custom_attribute_values), 1)\\n self.assertEqual(\\n product.custom_attribute_values[0].attribute_value,\\n \\\"my custom attribute value\\\"\\n )\",\n \"def test_update_attribute_data(self):\\n pass\",\n \"def test_custom_attribute_put_add(self):\\n gen = self.generator.generate_custom_attribute\\n _, cad = gen(\\\"product\\\", attribute_type=\\\"Text\\\", title=\\\"normal text\\\")\\n pid = models.Person.query.first().id\\n\\n product_data = [\\n {\\n \\\"product\\\": {\\n \\\"kind\\\": None,\\n \\\"owners\\\": [],\\n \\\"contact\\\": {\\n \\\"id\\\": pid,\\n \\\"href\\\": \\\"/api/people/{}\\\".format(pid),\\n \\\"type\\\": \\\"Person\\\"\\n },\\n \\\"title\\\": \\\"simple product\\\",\\n \\\"description\\\": \\\"\\\",\\n \\\"secondary_contact\\\": None,\\n \\\"notes\\\": \\\"\\\",\\n \\\"url\\\": \\\"\\\",\\n \\\"reference_url\\\": \\\"\\\",\\n \\\"slug\\\": \\\"\\\",\\n \\\"context\\\": None\\n }\\n }\\n ]\\n\\n response = self._post(product_data)\\n product_url = response.json[0][1][\\\"product\\\"][\\\"selfLink\\\"]\\n headers = self.client.get(product_url).headers\\n\\n product_data[0][\\\"product\\\"][\\\"custom_attribute_values\\\"] = [{\\n \\\"attribute_value\\\": \\\"added value\\\",\\n \\\"custom_attribute_id\\\": cad.id,\\n }]\\n\\n response = self._put(product_url, product_data[0], extra_headers={\\n 'If-Unmodified-Since': headers[\\\"Last-Modified\\\"],\\n 'If-Match': headers[\\\"Etag\\\"],\\n })\\n\\n product = response.json[\\\"product\\\"]\\n\\n self.assertEqual(len(product[\\\"custom_attribute_values\\\"]), 1)\\n ca_json = product[\\\"custom_attribute_values\\\"][0]\\n self.assertIn(\\\"attributable_id\\\", ca_json)\\n self.assertIn(\\\"attributable_type\\\", ca_json)\\n self.assertIn(\\\"attribute_value\\\", ca_json)\\n self.assertIn(\\\"id\\\", ca_json)\\n self.assertEqual(ca_json[\\\"attribute_value\\\"],\\n \\\"added value\\\")\\n\\n product = models.Product.eager_query().first()\\n self.assertEqual(len(product.custom_attribute_values), 1)\\n self.assertEqual(\\n product.custom_attribute_values[0].attribute_value,\\n \\\"added value\\\"\\n )\\n\\n headers = self.client.get(product_url).headers\\n\\n product_data[0][\\\"product\\\"][\\\"custom_attribute_values\\\"] = [{\\n \\\"attribute_value\\\": \\\"edited value\\\",\\n \\\"custom_attribute_id\\\": cad.id,\\n }]\\n\\n response = self._put(product_url, product_data[0], extra_headers={\\n 'If-Unmodified-Since': headers[\\\"Last-Modified\\\"],\\n 'If-Match': headers[\\\"Etag\\\"],\\n })\\n\\n product = response.json[\\\"product\\\"]\\n ca_json = product[\\\"custom_attribute_values\\\"][0]\\n self.assertIn(\\\"attributable_id\\\", ca_json)\\n self.assertIn(\\\"attributable_type\\\", ca_json)\\n self.assertIn(\\\"attribute_value\\\", ca_json)\\n self.assertIn(\\\"id\\\", ca_json)\\n self.assertEqual(ca_json[\\\"attribute_value\\\"],\\n \\\"edited value\\\")\",\n \"def test_update_product_required_fields(self):\\n data = {\\n 'pk': 1,\\n 'name': None,\\n 'description': '''\\n Yogurt also spelled yoghurt, yogourt or yoghourt,\\n is a food produced by bacterial fermentation of milk.\\n '''\\n }\\n url = reverse('products:detail', kwargs={'pk': data['pk']})\\n response = self.client.put(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertEqual(models.Product.objects.filter(name=None).count(), 0)\",\n \"def test_prep_fields(self):\\n pass\",\n \"def setUp(self):\\n super().setUp()\\n list_of_product_types = [\\n 'default_product_variant',\\n 'multiple_product_variants',\\n 'ceo_title'\\n ]\\n self.new_product = eval(f\\\"get_new_product_with_\\\" \\\\\\n f\\\"{list_of_product_types[randint(0, len(list_of_product_types) - 1)]}()\\\")\\n response = ProcessRequest('products.json').send_request(\\n 'POST',\\n data=self.new_product,\\n expected_return_codes=[201],\\n )\\n self.product_id = response.response['product']['id']\",\n \"def test_02_product_update(self):\\n # Update new product state2 from default draft to sellable\\n new_product = self.create_product()\\n self.assertEqual(new_product.state2, 'draft')\\n new_product.state2 = 'sellable'\\n self.assertEqual(new_product.state2, 'sellable')\\n\\n # Same but to an existing demo product.\\n demo_product = self.product_obj.browse(\\n self.ref('product_lifecycle.product_product_4g'))\\n self.assertEqual(demo_product.state2, 'sellable')\\n demo_product.state2 = 'draft'\\n self.assertEqual(demo_product.state2, 'draft')\\n\\n # Update new product invividual field (field defined in product.product\\n # model).\\n self.assertEqual(new_product.default_code, 'A2330')\\n new_product.default_code = 'A2330-1'\\n self.assertEqual(new_product.default_code, 'A2330-1')\\n\\n # Same but to an existing demo product.\\n self.assertEqual(demo_product.default_code, 'A2329')\\n demo_product.default_code = 'A2329-1'\\n self.assertEqual(demo_product.default_code, 'A2329-1')\\n\\n # Update new product commom characteristic (field defined in\\n # product.template) and check that affects the another product\\n # variants\\n self.assertFalse(new_product.description)\\n new_product.description = 'This is a New Product'\\n self.assertEqual(new_product.description, 'This is a New Product')\\n self.assertEqual(demo_product.description, 'This is a New Product')\\n demo_product.description = False\\n self.assertFalse(demo_product.description)\",\n \"def test_product_detail(self):\\n # first performing create\\n id = self._create_model(\\\"product\\\", self.product_data, [\\\"name\\\", \\\"description\\\", \\\"image_link\\\", \\\"price\\\"])\\n if id:\\n # then performing detail\\n self._detail_model(\\\"product\\\", self.product_data, id, [\\\"name\\\", \\\"description\\\", \\\"image_link\\\", \\\"price\\\"])\\n \\n self.assertIsNotNone(id)\",\n \"def test_custom_attribute_post_both(self):\\n gen = self.generator.generate_custom_attribute\\n _, cad = gen(\\\"product\\\", attribute_type=\\\"Text\\\", title=\\\"normal text\\\")\\n cad_json = builder.json.publish(cad.__class__.query.get(cad.id))\\n cad_json = builder.json.publish_representation(cad_json)\\n pid = models.Person.query.first().id\\n\\n product_data = [\\n {\\n \\\"product\\\": {\\n \\\"kind\\\": None,\\n \\\"owners\\\": [],\\n \\\"custom_attribute_definitions\\\":[\\n cad_json,\\n ],\\n \\\"custom_attribute_values\\\": [{\\n \\\"attribute_value\\\": \\\"new value\\\",\\n \\\"custom_attribute_id\\\": cad.id,\\n }],\\n \\\"custom_attributes\\\": {\\n cad.id: \\\"old value\\\",\\n },\\n \\\"contact\\\": {\\n \\\"id\\\": pid,\\n \\\"href\\\": \\\"/api/people/{}\\\".format(pid),\\n \\\"type\\\": \\\"Person\\\"\\n },\\n \\\"title\\\": \\\"simple product\\\",\\n \\\"description\\\": \\\"\\\",\\n \\\"secondary_contact\\\": None,\\n \\\"notes\\\": \\\"\\\",\\n \\\"url\\\": \\\"\\\",\\n \\\"reference_url\\\": \\\"\\\",\\n \\\"slug\\\": \\\"\\\",\\n \\\"context\\\": None\\n }\\n }\\n ]\\n\\n response = self._post(product_data)\\n ca_json = response.json[0][1][\\\"product\\\"][\\\"custom_attribute_values\\\"][0]\\n self.assertEqual(ca_json[\\\"attribute_value\\\"], \\\"new value\\\")\\n\\n product = models.Product.eager_query().first()\\n self.assertEqual(len(product.custom_attribute_values), 1)\\n self.assertEqual(\\n product.custom_attribute_values[0].attribute_value,\\n \\\"new value\\\"\\n )\",\n \"def test_defaults(self):\\n p = Product.objects.create(\\n name=\\\"Product\\\", slug=\\\"product\\\", sku=\\\"4711\\\", price=42.0)\\n\\n self.assertEqual(p.name, \\\"Product\\\")\\n self.assertEqual(p.slug, \\\"product\\\")\\n self.assertEqual(p.sku, \\\"4711\\\")\\n self.assertEqual(p.price, 42.0)\\n self.assertEqual(p.effective_price, 42.0)\\n self.assertEqual(p.short_description, \\\"\\\")\\n self.assertEqual(p.description, \\\"\\\")\\n self.assertEqual(len(p.images.all()), 0)\\n\\n self.assertEqual(p.meta_title, \\\"<name>\\\")\\n self.assertEqual(p.meta_description, \\\"\\\")\\n self.assertEqual(p.meta_keywords, \\\"\\\")\\n\\n self.assertEqual(len(p.related_products.all()), 0)\\n self.assertEqual(len(p.accessories.all()), 0)\\n\\n self.assertEqual(p.for_sale, False)\\n self.assertEqual(p.for_sale_price, 0.0)\\n self.assertEqual(p.active, False)\\n\\n self.assertEqual(p.deliverable, True)\\n self.assertEqual(p.manual_delivery_time, False)\\n self.assertEqual(p.delivery_time, None)\\n self.assertEqual(p.order_time, None)\\n self.assertEqual(p.ordered_at, None)\\n self.assertEqual(p.manage_stock_amount, False)\\n self.assertEqual(p.stock_amount, 0)\\n\\n self.assertEqual(p.weight, 0)\\n self.assertEqual(p.height, 0)\\n self.assertEqual(p.length, 0)\\n self.assertEqual(p.width, 0)\\n\\n self.assertEqual(p.tax, None)\\n self.assertEqual(p.sub_type, STANDARD_PRODUCT)\\n\\n self.assertEqual(p.default_variant, None)\\n self.assertEqual(p.variants_display_type, LIST)\\n\\n self.assertEqual(p.parent, None)\\n self.assertEqual(p.active_name, False)\\n self.assertEqual(p.active_sku, False)\\n self.assertEqual(p.active_short_description, False)\\n self.assertEqual(p.active_description, False)\\n self.assertEqual(p.active_price, False)\\n self.assertEqual(p.active_images, False)\\n self.assertEqual(p.active_related_products, False)\\n self.assertEqual(p.active_accessories, False)\\n self.assertEqual(p.active_meta_description, False)\\n self.assertEqual(p.active_meta_keywords, False)\",\n \"def new_object_data(self):\\n self.product_fixture = self.F.ProductFactory.create()\\n modifiers = (self.datetime, self.resource_name)\\n fields = {\\n u\\\"name\\\": unicode(\\\"test_%s_%s\\\" % modifiers),\\n u\\\"description\\\": unicode(\\\"test %s %s\\\" % modifiers),\\n u\\\"product\\\": unicode(self.get_detail_url(\\n \\\"product\\\", self.product_fixture.id)),\\n u\\\"status\\\": unicode(\\\"draft\\\"),\\n u\\\"created_by\\\": None,\\n u\\\"modified_by\\\": None,\\n u\\\"modified_on\\\": self.utcnow.strftime(\\\"%Y-%m-%d %H:%M:%S\\\"),\\n }\\n return fields\",\n \"def setUp(self):\\n # Request the Product Id by posting it\\n response = self.client.post('/api/productsdata/',\\n data=json.dumps(self.product_payload),\\n content_type=self.content_type)\\n\\n # Checking the response\\n self.assertEqual(response.status_code, 201)\\n self.assertEqual(response.json().get('name'), 'Olive Oil')\\n\\n # Storing ID for further test cases checking\\n type(self).product_id = response.json().get('id')\",\n \"def test_data_object_vaporise(self):\\n pass\",\n \"def test_custom_attribute_get(self):\\n gen = self.generator.generate_custom_attribute\\n _, cad = gen(\\\"product\\\", attribute_type=\\\"Text\\\", title=\\\"normal text\\\")\\n pid = models.Person.query.first().id\\n\\n product_data = [\\n {\\n \\\"product\\\": {\\n \\\"kind\\\": None,\\n \\\"owners\\\": [],\\n \\\"custom_attribute_values\\\": [{\\n \\\"attribute_value\\\": \\\"my custom attribute value\\\",\\n \\\"custom_attribute_id\\\": cad.id,\\n }],\\n \\\"contact\\\": {\\n \\\"id\\\": pid,\\n \\\"href\\\": \\\"/api/people/{}\\\".format(pid),\\n \\\"type\\\": \\\"Person\\\"\\n },\\n \\\"title\\\": \\\"simple product\\\",\\n \\\"description\\\": \\\"\\\",\\n \\\"secondary_contact\\\": None,\\n \\\"notes\\\": \\\"\\\",\\n \\\"url\\\": \\\"\\\",\\n \\\"reference_url\\\": \\\"\\\",\\n \\\"slug\\\": \\\"\\\",\\n \\\"context\\\": None\\n }\\n }\\n ]\\n\\n response = self._post(product_data)\\n product_url = response.json[0][1][\\\"product\\\"][\\\"selfLink\\\"]\\n get_response = self.client.get(product_url)\\n product = get_response.json[\\\"product\\\"]\\n self.assertIn(\\\"custom_attribute_values\\\", product)\\n self.assertEqual(len(product[\\\"custom_attribute_values\\\"]), 1)\\n cav = product[\\\"custom_attribute_values\\\"][0]\\n self.assertIn(\\\"custom_attribute_id\\\", cav)\\n self.assertIn(\\\"attribute_value\\\", cav)\\n self.assertIn(\\\"id\\\", cav)\",\n \"def test_create(self):\\n self.assertEqual(Product.objects.count(), 2)\\n payload = {\\n 'name': 'New product',\\n 'category': self.category_1.id,\\n 'sku': '11111111',\\n 'description': 'New product description',\\n 'price': 39.99\\n }\\n\\n headers = {\\n 'HTTP_AUTHORIZATION': 'Token ' + str(self.token_admin)\\n }\\n response = self.client.post(\\n '/api/products/', data=payload, content_type='application/json', **headers)\\n self.assertEqual(response.status_code, 201)\\n self.assertEqual(response['Content-Type'], 'application/json')\\n self.assertEqual(Product.objects.count(), 3)\\n\\n product = Product.objects.get(name='New product')\\n self.assertEqual(product.name, 'New product')\\n self.assertEqual(product.category, self.category_1)\\n self.assertEqual(product.sku, '11111111')\\n self.assertEqual(product.description, 'New product description')\\n self.assertEqual(float(product.price), 39.99)\",\n \"def test_01_product_create(self):\\n # Create new product with a replacement product\\n product = self.create_product()\\n\\n # Check recently was created product with default 'In Development'\\n # value state and that the replacement was assigned. This case also\\n # check the read test.\\n self.assertTrue(product)\\n self.assertEqual(product.state2, 'draft')\\n self.assertTrue(product.replacement_product_ids)\\n self.assertEqual(len(product.replacement_product_ids), 1)\\n self.assertEqual(product.replacement_product_ids[0].id,\\n self.ref('product_lifecycle.product_product_4e'))\",\n \"def test_model_saves_value_to_database( self ):\\r\\n\\t\\tretrieved_object = TestModel.objects.get( id = self.m_test_model.id )\\r\\n\\t\\tself.assertEqual( retrieved_object.custom_field, custom_data )\",\n \"def test_product_labels(self):\\n\\n prd = Product.objects.get(id=1)\\n # label name\\n label_name = prd._meta.get_field('name').verbose_name\\n self.assertEqual(label_name, 'name')\\n # label description\\n label_name = prd._meta.get_field('description').verbose_name\\n self.assertEqual(label_name, 'description')\\n # label nutrition_grade\\n label_name = prd._meta.get_field('nutrition_grade').name\\n self.assertEqual(label_name, 'nutrition_grade')\\n # label barcode\\n label_name = prd._meta.get_field('barcode').verbose_name\\n self.assertEqual(label_name, 'barcode')\\n # label url\\n label_name = prd._meta.get_field('url').verbose_name\\n self.assertEqual(label_name, 'url')\\n # label url_pic\\n label_name = prd._meta.get_field('url_pic').name\\n self.assertEqual(label_name, 'url_pic')\\n # label store\\n label_name = prd._meta.get_field('store').verbose_name\\n self.assertEqual(label_name, 'store')\\n # label prd_cat\\n label_name = prd._meta.get_field('prd_cat').name\\n self.assertEqual(label_name, 'prd_cat')\\n # label fat\\n label_name = prd._meta.get_field('fat').verbose_name\\n self.assertEqual(label_name, 'fat')\\n # label saturated_fat\\n label_name = prd._meta.get_field('saturated_fat').name\\n self.assertEqual(label_name, 'saturated_fat')\\n # label sugar\\n label_name = prd._meta.get_field('sugar').verbose_name\\n self.assertEqual(label_name, 'sugar')\\n # label salt\\n label_name = prd._meta.get_field('salt').verbose_name\\n self.assertEqual(label_name, 'salt')\",\n \"def test_product_nullables(self):\\n self.assertIsNone(self.product3.main_image)\\n self.assertIsNone(self.product3.protein)\\n self.assertIsNone(self.product3.fat)\\n self.assertIsNone(self.product3.carbs)\\n self.assertIsNone(self.product3.calories)\",\n \"def test_fieldValueTypes(self):\\n # tests for \\\"method\\\" and \\\"datetime\\\" values follow later on ...\\n # booleans are not tested yet\\n\\n factory = self.root.manage_addProduct['Formulator']\\n factory.manage_add('form', 'ValueTest')\\n factory.manage_add('form2', 'ValueTest')\\n form = self.root.form\\n form.manage_addField('int_field', 'Test Integer Field', 'IntegerField')\\n form.manage_addField('float_field', 'Test Float Field', 'FloatField')\\n form.manage_addField('date_field', 'Test Date Field', 'DateTimeField')\\n form.manage_addField('list_field', 'Test List Field', 'ListField')\\n form.manage_addField(\\n 'multi_field',\\n 'Test Checkbox Field',\\n 'MultiCheckBoxField')\\n form.manage_addField('link_field', 'Test Link Field', 'LinkField')\\n form.manage_addField('empty_field', 'Test Empty Field', 'StringField')\\n int_field = form.int_field\\n float_field = form.float_field\\n date_field = form.date_field\\n list_field = form.list_field\\n multi_field = form.multi_field\\n link_field = form.link_field\\n empty_field = form.empty_field\\n\\n # XXX editing fields by messing with a fake request\\n # -- any better way to do this?\\n # (could assign to \\\"values\\\" directly ...)\\n\\n default_values = {'field_title': 'Test Title',\\n 'field_display_width': '92',\\n 'field_required': 'checked',\\n 'field_enabled': 'checked',\\n }\\n try:\\n form_values = default_values.copy()\\n form_values.update({'field_default': 'None',\\n 'field_required': '',\\n })\\n empty_field.manage_edit(REQUEST=TestRequest(form=form_values))\\n\\n form_values = default_values.copy()\\n form_values.update({'field_default': '42',\\n 'field_enabled': 'checked'})\\n int_field.manage_edit(REQUEST=TestRequest(form=form_values))\\n\\n form_values = default_values.copy()\\n form_values.update({'field_default': '1.7'})\\n float_field.manage_edit(REQUEST=TestRequest(form=form_values))\\n\\n # XXX cannot test \\\"defaults to now\\\", as this may fail randomly\\n form_values = default_values.copy()\\n form_values.update({'field_input_style': 'list',\\n 'field_input_order': 'mdy',\\n 'field_date_only': '',\\n 'field_css_class': 'test_css',\\n 'field_time_separator': '$'})\\n date_field.manage_edit(REQUEST=TestRequest(form=form_values))\\n\\n form_values = default_values.copy()\\n form_values.update({'field_default': 'foo',\\n 'field_size': '1',\\n 'field_items': 'Foo | foo\\\\n Bar | bar'})\\n list_field.manage_edit(REQUEST=TestRequest(form=form_values))\\n\\n form_values = default_values.copy()\\n form_values.update(\\n {'field_default': 'foo',\\n 'field_size': '3',\\n 'field_items': 'Foo | foo\\\\n Bar | bar\\\\nBaz | baz',\\n 'field_orientation': 'horizontal',\\n 'field_view_separator': '<br />\\\\n'})\\n multi_field.manage_edit(REQUEST=TestRequest(form=form_values))\\n\\n form_values = default_values.copy()\\n form_values.update({'field_default': 'http://www.absurd.org',\\n 'field_required': '1',\\n 'field_check_timeout': '5.0',\\n 'field_link_type': 'external',\\n })\\n link_field.manage_edit(REQUEST=TestRequest(form=form_values))\\n\\n except ValidationError as e:\\n self.fail('error when editing field %s; error message: %s' %\\n (e.field_id, e.error_text))\\n\\n form2 = self.root.form2\\n\\n xml = formToXML(form)\\n XMLToForm(xml, form2)\\n\\n self.assertEqualForms(form, form2)\\n\\n request = TestRequest()\\n request.form['field_int_field'] = '42'\\n request.form['field_float_field'] = '2.71828'\\n request.form['subfield_date_field_month'] = '11'\\n request.form['subfield_date_field_day'] = '11'\\n # This field only allows ten years in the future, today 2023-03-14\\n request.form['subfield_date_field_year'] = '2033'\\n request.form['subfield_date_field_hour'] = '09'\\n request.form['subfield_date_field_minute'] = '59'\\n request.form['field_list_field'] = 'bar'\\n request.form['field_multi_field'] = ['bar', 'baz']\\n request.form['field_link_field'] = 'http://www.zope.org'\\n try:\\n result1 = form.validate_all(request)\\n except FormValidationError as e:\\n # XXX only render first error ...\\n self.fail('error when editing form1, field %s; error message: %s' %\\n (e.errors[0].field_id, e.errors[0].error_text))\\n\\n try:\\n result2 = form2.validate_all(request)\\n except FormValidationError as e:\\n # XXX only render first error ...\\n self.fail('error when editing form1, field %s; error message: %s' %\\n (e.errors[0].field_id, e.errors[0].error_text))\\n self.assertEqual(result1, result2)\\n self.assertEqual(42, result2['int_field'])\\n self.assertEqual(2.71828, result2['float_field'])\\n\\n # check link field timeout value\\n self.assertEqual(link_field.get_value('check_timeout'),\\n form2.link_field.get_value('check_timeout'))\\n\\n # XXX not tested: equal form validation failure on invalid input\",\n \"def test_add_new_product(self):\\n response=self.add_new_product()\\n result = json.loads(response.data.decode('utf-8'))\\n self.assertEqual(response.status_code, 201, result['New Product'])\",\n \"def test_get_attribute_data(self):\\n pass\",\n \"def test_custom_attribute_post_old(self):\\n gen = self.generator.generate_custom_attribute\\n _, cad = gen(\\\"product\\\", attribute_type=\\\"Text\\\", title=\\\"normal text\\\")\\n cad_json = builder.json.publish(cad.__class__.query.get(cad.id))\\n cad_json = builder.json.publish_representation(cad_json)\\n pid = models.Person.query.first().id\\n\\n product_data = [\\n {\\n \\\"product\\\": {\\n \\\"kind\\\": None,\\n \\\"owners\\\": [],\\n \\\"custom_attribute_definitions\\\":[\\n cad_json,\\n ],\\n \\\"custom_attribute_values\\\": [{\\n \\\"id\\\": 1,\\n \\\"href\\\": \\\"/api/custom_attribute_values/1\\\",\\n \\\"type\\\": \\\"CustomAttributeValues\\\"\\n }],\\n \\\"custom_attributes\\\": {\\n cad.id: \\\"old value\\\",\\n },\\n \\\"contact\\\": {\\n \\\"id\\\": pid,\\n \\\"href\\\": \\\"/api/people/{}\\\".format(pid),\\n \\\"type\\\": \\\"Person\\\"\\n },\\n \\\"title\\\": \\\"simple product\\\",\\n \\\"description\\\": \\\"\\\",\\n \\\"secondary_contact\\\": None,\\n \\\"notes\\\": \\\"\\\",\\n \\\"url\\\": \\\"\\\",\\n \\\"reference_url\\\": \\\"\\\",\\n \\\"slug\\\": \\\"\\\",\\n \\\"context\\\": None\\n }\\n }\\n ]\\n\\n response = self._post(product_data)\\n self.assert200(response)\\n ca_json = response.json[0][1][\\\"product\\\"][\\\"custom_attribute_values\\\"][0]\\n self.assertEqual(ca_json[\\\"attribute_value\\\"], \\\"old value\\\")\\n\\n product = models.Product.eager_query().first()\\n self.assertEqual(len(product.custom_attribute_values), 1)\\n self.assertEqual(\\n product.custom_attribute_values[0].attribute_value,\\n \\\"old value\\\"\\n )\",\n \"def test_create_product(self):\\n url = reverse('products:list')\\n data = {\\n 'name': 'Banana',\\n 'description': '''\\n Bananas are one of the most widely consumed fruits in the\\n world for good reason. Eating them could help lower blood\\n pressure and reduce the risks of cancer and asthma.\\n '''\\n }\\n response = self.client.post(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(models.Product.objects.filter(name=data['name']).count(), 1)\",\n \"def test_default_product_price(self):\\n prod = product('Test Product')\\n self.assertEqual(prod.price, 10)\\n self.assertEqual(prod.weight, 20)\",\n \"def setUp(self):\\n super(TestProductLifecycle, self).setUp()\\n self.sellable_product = self.ref('product.product_product_4c')\\n self.obsolete_product = self.ref('product.product_product_4b')\\n self.draft_product = self.ref('product.product_product_4')\\n self.sellable_replacement = self.ref(\\n 'product_lifecycle.product_product_4g')\\n self.obsolete_replacement = self.ref(\\n 'product_lifecycle.product_product_4f')\\n self.product_obj = self.env['product.product']\\n self.order_obj = self.env['purchase.order']\\n self.imd_obj = self.env['ir.model.data']\\n self.wiz_obj = self.env['replacement.product']\",\n \"def test_create_product_success(self):\\n res = self.client.post(PRODUCTS_URL, PRODUCT_PAYLOAD)\\n\\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\\n self.assertEqual(res.data['supplier_id'], self.user.id)\\n self.assertEqual(res.data['name'], PRODUCT_PAYLOAD['name'])\\n self.assertEqual(res.data['price'], PRODUCT_PAYLOAD['price'])\",\n \"def test_create_product(self):\\n obj1 = Product.objects.first()\\n obj2 = Product.objects.last()\\n\\n expected_str1 = f\\\"{obj1.code} -- {obj1.name} -- \\\" \\\\\\n f\\\"{obj1.schedule} -- {obj1.spl}\\\"\\n self.assertEqual(str(obj1), expected_str1)\\n self.assertNotEqual(str(obj2), expected_str1)\",\n \"def test_data_object_post(self):\\n pass\",\n \"def test_changedata(self):\\n p = model.Person(firstname=\\\"Tobias\\\", lastname=\\\"Thelen\\\",\\n email=\\\"tthelen@uos.de\\\", hobbies=[\\\"singen\\\",\\\"springen\\\",\\\"fröhlichsein\\\"])\\n id = p.store()\\n\\n p = model.Person(id=id)\\n p['firstname'] = \\\"Walter\\\"\\n p.store()\\n\\n p2 = model.Person(id=id)\\n self.assertEqual(p2.firstname, \\\"Walter\\\")\\n self.assertEqual(p2.lastname, \\\"Thelen\\\")\",\n \"def attribute(self, data, model, model_name):\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\\n self.assertEqual(prod.weight, 20)\\n self.assertEqual(prod.flammability, 0.5)\",\n \"def test_record(self):\\n self.assertEqual(self.record.attrib['id'],\\n 'nhc_def_conf_adt_user',\\n 'Incorrect ID ')\\n self.assertEqual(self.record.attrib['model'],\\n 'res.users',\\n 'Incorrect model')\",\n \"def setUp(self) -> None:\\n self.default = Product('Test Product')\\n self.tester = Product('Tester', price=15, weight=2)\",\n \"def test_create_drug_successful(self):\\n generic = models.Generic.objects.create(\\n generic_name=\\\"Lisinopril\\\"\\n )\\n print(type(generic))\\n drug = models.Drug.objects.create(\\n product_id='12345',\\n generic_name=generic,\\n product_ndc=\\\"99999-9999\\\",\\n brand_name=\\\"Zestril\\\"\\n )\\n\\n self.assertEqual(str(drug), f\\\"{drug.product_id} {drug.product_ndc}\\\")\",\n \"def test_create_record(self):\\n pass\",\n \"def test_add_product(self):\\n view = ProductCreateListView.as_view({'post': 'create'})\\n uri = reverse('products:create/list-products')\\n data = {\\n \\\"name\\\": \\\"Iphone 7\\\",\\n \\\"description\\\": \\\"Mobile phone\\\",\\n \\\"price\\\": 200,\\n \\\"is_available\\\": True\\n }\\n request = self.factory.post(uri, data, HTTP_AUTHORIZATION='Token {}'.format(self.token_admin.key))\\n request.user = self.user['admin']\\n response = view(request)\\n self.assertEqual(response.status_code, 201,\\n f'Expected Response Code 201, received {response.status_code} instead.')\",\n \"def test_product_is_saved_on_creation(self):\\n self.assertEquals(self.prod_1.image, 'product_default.png')\",\n \"def test_insert_data(self):\\n self.engine.insert_data(self.correct_camper_data)\\n self.assertDictEqual(\\n self.ds.store,\\n {\\n 3: Camper(**{\\n \\\"id\\\": 3,\\n \\\"latitude\\\": 38.7436883,\\n \\\"longitude\\\": -9.1952226,\\n \\\"price_per_day\\\": 85.5,\\n \\\"weekly_discount\\\": 0.25\\n })\\n })\",\n \"def test_attr(self):\\n new_review = Review()\\n self.assertTrue(hasattr(new_review, \\\"id\\\"))\\n self.assertTrue(hasattr(new_review, \\\"created_at\\\"))\\n self.assertTrue(hasattr(new_review, \\\"updated_at\\\"))\\n self.assertTrue(hasattr(new_review, \\\"place_id\\\"))\\n self.assertTrue(hasattr(new_review, \\\"user_id\\\"))\\n self.assertTrue(hasattr(new_review, \\\"text\\\"))\",\n \"def test_create_basic_recipe(self):\\n payload = {\\\"title\\\": \\\"Vietnamese Cake\\\",\\n \\\"time_minutes\\\": 45,\\n \\\"price\\\": 5.55}\\n res = self.client.post(RECIPE_URL, payload)\\n recipe = Recipe.objects.get(id=res.data['id'])\\n for key in payload.keys():\\n if key == \\\"price\\\":\\n self.assertEqual(round(Decimal(payload[key]), 2), getattr(recipe, key))\\n else:\\n self.assertEqual(payload[key], getattr(recipe, key))\\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\",\n \"def test_cannot_make_sale_with_wrong_datatypes(self):\\n reply = self.admin_add_product()\\n\\n resp = self.admin_create_user()\\n reply = self.attendant_login()\\n token = reply['token']\\n sale = dict(products = [\\n {\\n \\\"prod_name\\\":\\\"NY_345\\\", \\n \\\"quantity\\\":'Kummi'\\n }\\n\\t ])\\n resp = self.client.post(\\n '/api/v1/sales',\\n content_type='application/json',\\n data=json.dumps(sale),\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n \\n self.assertEqual(reply['message'], 'prod_name & quantity should be a character & number respectively!')\\n self.assertEqual(resp.status_code, 400)\",\n \"def test_category_model_entry(self): # PRUEBA DE CARGAR LA INFORMACION EN LOS MODELOS A TESTEAR\\n data = self.data1\\n self.assertTrue(isinstance(data, Category)) # REALIZA EL TESTEO \",\n \"def test_attr(self):\\n self.assertTrue(hasattr(BaseModel, \\\"__str__\\\"))\\n self.assertTrue(hasattr(BaseModel, \\\"save\\\"))\\n self.assertTrue(hasattr(BaseModel, \\\"to_dict\\\"))\\n self.assertTrue(\\\"updated_at\\\" in self.my_model1.__dict__)\\n self.assertTrue(\\\"created_at\\\" in self.my_model1.__dict__)\\n self.assertTrue(\\\"id\\\" in self.my_model1.__dict__)\",\n \"def test_add_new_product(self):\\n self._require_login(self.user1)\\n post_data = {\\n \\\"category\\\": {\\n \\\"name\\\": \\\"deportes\\\",\\n \\\"index\\\": 1\\n },\\n \\\"price\\\": \\\"4500.0\\\",\\n \\\"name\\\": \\\"Producto 3\\\",\\n \\\"description\\\": \\\"Descripcion de producto 3\\\"\\n }\\n\\n response = self.client.post('/api/1.0/products/', data=post_data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_201_CREATED)\\n self.assertNotEqual(response.data['published_date'], '')\\n self.assertEqual(response.data['name'], 'Producto 3')\\n self.assertEqual(response.data['description'], 'Descripcion de producto 3')\\n self.assertEqual(response.data['selling'], True)\\n self.assertEqual(response.data['price'], '4500.0')\\n self.assertEqual(response.data['seller']['user']['username'], self.username)\\n self.assertEqual(response.data['category']['name'], 'deportes')\",\n \"def test_default_product_price(self):\\r\\n prod = Product('Test Product')\\r\\n self.assertEqual(prod.price, 10)\",\n \"def test_get_attributes(self):\\n pass\",\n \"def setup(self):\\n print(\\\"INIT DATA\\\")\\n\\n self.nutella = Product.objects.create(name=\\\"nutella\\\", nutriscore=\\\"e\\\")\",\n \"def test_get_item(self):\\n self.assertEqual(self.expected_described_model, self.mapped_model[\\\"described_model_type\\\"])\",\n \"def test_record(self):\\n self.assertEqual(self.record.attrib['id'],\\n 'nhc_demo_patient_0',\\n 'Incorrect ID ')\\n self.assertEqual(self.record.attrib['model'],\\n 'nh.clinical.patient',\\n 'Incorrect model')\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_default_product_price(self):\\n prod = Product('Test Product')\\n self.assertEqual(prod.price, 10)\",\n \"def test_update_product(self):\\n data = {\\n 'pk': 1,\\n 'name': 'New yogurt',\\n 'description': '''\\n Yogurt also spelled yoghurt, yogourt or yoghourt,\\n is a food produced by bacterial fermentation of milk.\\n '''\\n }\\n url = reverse('products:detail', kwargs={'pk': data['pk']})\\n response = self.client.patch(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_200_OK)\\n self.assertEqual(models.Product.objects.filter(name=data['name']).count(), 1)\",\n \"def test_required_field_values_are_present():\\n\\n model_definition = {'language': {'type': 'fixed',\\n 'required': True,\\n 'persisted': True},\\n 'source': {'type': 'list',\\n 'required': False,\\n 'persisted': True},\\n 'resources.title': {'type': 'text',\\n 'required': True,\\n 'persisted': True}}\\n product1 = {'language': 'english'}\\n factory = ProductModelFactory(model_definition)\\n factory.build('product1', product1)\",\n \"def test_update_record(self):\\n pass\",\n \"def test_create_product_successful(self):\\n \\n ProductCategory.objects.create(name=\\\"test name\\\", description=\\\"new name\\\")\\n test_key = ProductCategory.objects.values()[0]\\n # print(test_key)\\n payload = {\\n 'name': 'Test Tag',\\n 'product_category_id': test_key.get('id'),\\n 'unit_price': 100,\\n 'quantity': 12,\\n 'description': 'Test description'\\n }\\n \\n res = self.client.post(PRODUCT_ADD_URL, payload)\\n\\n # print(res.data)\\n self.assertEqual(res.status_code, status.HTTP_201_CREATED)\",\n \"def test_default_prodct(self):\\n prod = Product(\\\"default\\\")\\n self.assertEqual(prod.price, 10)\\n self.assertAlmostEqual(prod.flammability, 0.5)\\n self.assertEqual(prod.weight, 20)\\n self.assertEqual(prod.stealability(), \\\"Kinda stealable.\\\")\",\n \"def test_create_valid_product(self):\\n product_name = \\\"Swift Iris\\\"\\n size = Size.SIZE_4_5\\n colour = \\\"Red\\\"\\n price = 47.00\\n product_type = ProductType.SHOE\\n product_code = \\\"A\\\"\\n department = Department.LADIES\\n\\n product = Product(\\n name=product_name,\\n size=size,\\n colour=colour,\\n price=price,\\n product_type=product_type,\\n product_code=product_code,\\n department=department,\\n )\\n with self.assertRaises(ValidationError):\\n product.full_clean()\",\n \"def test_get_additional_seller_inputs(self):\\n pass\",\n \"def test_missing_mandatory_attributes():\\n model_definition = {'source': {'type': 'list',\\n 'required': True,\\n 'persisted': True},\\n 'resources.title': {'type': 'text',\\n 'required': True,\\n 'persisted': True}}\\n # missing language in the model\\n _ = ProductModelFactory(model_definition)\",\n \"def test_new_attribute_data(db_session):\\n new_att = Attribute(\\n label=\\\"test_label\\\",\\n desc=\\\"test_desc\\\"\\n )\\n db_session.add(new_att)\\n att = db_session.query(Attribute).all()\\n assert att[0].label == \\\"test_label\\\"\\n assert att[0].desc == \\\"test_desc\\\"\",\n \"def test_books_model_entry(self):\\n data = self.data1\\n self.assertTrue(isinstance(data,Books))\",\n \"def test_model_keeps_value( self ):\\r\\n\\t\\tself.assertEqual( self.m_test_model.custom_field, custom_data )\",\n \"def test_admin_create_product(self):\\n resp = self.admin_register()\\n reply = self.admin_login()\\n token = reply['token']\\n product = dict(\\n prod_name='NY_denims',\\n category='denims',\\n stock=20,\\n price=150\\n )\\n resp = self.client.post(\\n '/api/v1/products',\\n content_type='application/json',\\n data=json.dumps(product),\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n \\n self.assertEqual(reply['message'], 'Product successfully added to Inventory!')\\n self.assertEqual(resp.status_code, 201)\",\n \"def test_update_product_success(self):\\n product = sample_product(supplier_id=self.user, name='old-name', price='100.00')\\n url = detail_url(product.id)\\n new_product = {\\n 'name': 'new_name',\\n 'price': '1000.0',\\n 'image': ''\\n }\\n res = self.client.put(url, new_product)\\n\\n self.assertEqual(res.status_code, status.HTTP_200_OK)\\n self.assertEqual(res.data['name'], new_product['name'])\",\n \"def test_model_allows_assigning_data_after_creation( self ):\\r\\n\\t\\tanother_data = { \\\"another_meta\\\" : \\\"another_value\\\" }\\r\\n\\t\\tself.m_test_model.custom_field = another_data\\r\\n\\t\\tself.m_test_model.save();\\r\\n\\r\\n\\t\\t# First test that the same model has assigned value\\r\\n\\t\\tself.assertEqual( self.m_test_model.custom_field, another_data )\\r\\n\\r\\n\\t\\t# Now test that retrieved model from database persists the value\\r\\n\\t\\tretrieved_object = TestModel.objects.get( id = self.m_test_model.id )\\r\\n\\t\\tself.assertEqual( retrieved_object.custom_field, another_data )\",\n \"def test_generate_data_model():\\n params = dict(name=\\\"test\\\", type_=str, is_required=True)\\n\\n data_model = DataModel(\\\"test\\\", [Attribute(**params)])\\n\\n assert generate_data_model(\\\"test\\\", {\\\"test\\\": \\\"str\\\"}) == data_model\",\n \"def test_process_data(self):\\n pass\",\n \"def test_model_field_types(self):\\n self.assertTrue(isinstance(self.UserInfo.have_siblings, str))\\n self.assertTrue(isinstance(self.UserInfo.known_env_exposures, str))\\n self.assertTrue(isinstance(self.UserInfo.known_genetic_mutations, str))\\n self.assertTrue(isinstance(self.UserInfo.age, int))\",\n \"def test_items(self):\\n self.assertEqual([(\\\"described_model_type\\\", self.expected_described_model)], list(self.mapped_model.items()))\",\n \"def test_create_same_product(self):\\n url = reverse('products:list')\\n data = {\\n 'name': 'Eggs',\\n 'description': '''\\n Bird and reptile eggs consist of a protective eggshell,\\n albumen (egg white), and vitellus (egg yolk),\\n contained within various thin membranes.\\n The most commonly consumed eggs are chicken eggs.\\n Other poultry eggs including those of duck and quail\\n also are eaten.\\n '''\\n }\\n product_count_before = models.Product.objects.count()\\n response = self.client.post(url, data, format='json')\\n self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)\\n self.assertEqual(models.Product.objects.count(), product_count_before)\",\n \"def test_category_model_entry(self):\\n data = self.data1\\n self.assertEqual(str(data), 'django')\",\n \"def test_set_fields():\\n\\n document = DocumentFactory.create(\\n charfield=\\\"some chars\\\",\\n textfield=\\\"some text\\\",\\n decimalfield=0.0815,\\n integerfield=42,\\n )\\n\\n assert document.charfield == \\\"some chars\\\"\\n assert document.textfield == \\\"some text\\\"\\n assert document.decimalfield == 0.0815\\n assert document.integerfield == 42\",\n \"def test_form_submition_and_product_creation(user_company, client, authenticated_user):\\n add_product_url = reverse('add-product')\\n response = client.post(add_product_url, {\\n 'name': 'Test_product_name',\\n 'serial_number': 'XZ001', \\n 'manufacturer': 'Test company',\\n 'price_net': 415.26,\\n 'description': fake.paragraph(),\\n 'stock': 16\\n })\\n assert response.status_code == 302\\n product = Product.objects.get(name='Test_product_name')\\n assert response.url == reverse('product-detail',kwargs={'pk': product.pk}) \\n assert product.user == authenticated_user\\n assert product in Product.objects.all()\",\n \"def test_default_product_weight(self):\\r\\n prod = Product('Test Product')\\r\\n self.assertEqual(prod.weight, 20)\",\n \"def test_products_ref_users_put(self):\\n pass\",\n \"def test_field_extra(self):\\n setting_model = Setting()\\n\\n test_extra = {}\\n setting_model.field_extra = test_extra\\n self.assertEqual(setting_model.field_extra, test_extra)\\n\\n test_extra = {'min_lenght': 5, 'max_length': 12}\\n setting_model.field_extra = test_extra\\n self.assertEqual(setting_model.field_extra, test_extra)\",\n \"def test_set_data_attributes(self):\\n\\n self.mediator.get_results()\",\n \"def test_cannot_make_sale_with_missing_fields(self):\\n reply = self.admin_add_product()\\n\\n resp = self.admin_create_user()\\n reply = self.attendant_login()\\n token = reply['token']\\n sale = dict(products = [\\n {\\n \\\"prod_name\\\":\\\"\\\", \\n \\\"quantity\\\":10\\n }\\n\\t ])\\n resp = self.client.post(\\n '/api/v1/sales',\\n content_type='application/json',\\n data=json.dumps(sale),\\n headers={'Authorization': 'Bearer {}'.format(token)}\\n )\\n reply = json.loads(resp.data.decode())\\n \\n self.assertEqual(reply['message'], 'One of the fields is empty!')\\n self.assertEqual(resp.status_code, 400)\",\n \"def test_create_company_props_using_post(self):\\n pass\",\n \"def test_product_delete(self):\\n # first performe create\\n id = self._create_model(\\\"product\\\", self.product_data, [\\\"name\\\", \\\"description\\\", \\\"image_link\\\", \\\"price\\\"])\\n if id:\\n # then performe delete\\n self._delete_model(\\\"product\\\", id)\\n self.assertIsNotNone(id)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.76896816","0.7435254","0.74246174","0.73524946","0.71989226","0.7134408","0.6947085","0.69248456","0.68103576","0.67975587","0.67713046","0.67241883","0.6704033","0.66982996","0.6688978","0.66654783","0.66048956","0.659939","0.6586787","0.6566571","0.6554063","0.6513096","0.6509164","0.64822984","0.641744","0.6379985","0.6377534","0.6374552","0.6373689","0.6363517","0.6350085","0.6348819","0.6336803","0.6336293","0.63165945","0.6303672","0.6303636","0.62850165","0.6282031","0.62724113","0.6259483","0.6241566","0.6219104","0.621844","0.62161416","0.62108874","0.6199137","0.61986864","0.61771876","0.61711776","0.6156518","0.61525047","0.6148496","0.61477834","0.61300063","0.6129734","0.6116277","0.6108904","0.61040914","0.6092237","0.60846055","0.60846055","0.60846055","0.60846055","0.60846055","0.60846055","0.60846055","0.60846055","0.60846055","0.60846055","0.60846055","0.607855","0.60598606","0.6054412","0.6053824","0.6043676","0.60415584","0.6039986","0.603894","0.60306025","0.60221636","0.60196185","0.60159147","0.60134304","0.6012753","0.6008091","0.6007396","0.6005517","0.5996955","0.59947175","0.5994533","0.5991163","0.5988958","0.5985996","0.5985604","0.5985519","0.59737134","0.5971817","0.5950741","0.59409916"],"string":"[\n \"0.76896816\",\n \"0.7435254\",\n \"0.74246174\",\n \"0.73524946\",\n \"0.71989226\",\n \"0.7134408\",\n \"0.6947085\",\n \"0.69248456\",\n \"0.68103576\",\n \"0.67975587\",\n \"0.67713046\",\n \"0.67241883\",\n \"0.6704033\",\n \"0.66982996\",\n \"0.6688978\",\n \"0.66654783\",\n \"0.66048956\",\n \"0.659939\",\n \"0.6586787\",\n \"0.6566571\",\n \"0.6554063\",\n \"0.6513096\",\n \"0.6509164\",\n \"0.64822984\",\n \"0.641744\",\n \"0.6379985\",\n \"0.6377534\",\n \"0.6374552\",\n \"0.6373689\",\n \"0.6363517\",\n \"0.6350085\",\n \"0.6348819\",\n \"0.6336803\",\n \"0.6336293\",\n \"0.63165945\",\n \"0.6303672\",\n \"0.6303636\",\n \"0.62850165\",\n \"0.6282031\",\n \"0.62724113\",\n \"0.6259483\",\n \"0.6241566\",\n \"0.6219104\",\n \"0.621844\",\n \"0.62161416\",\n \"0.62108874\",\n \"0.6199137\",\n \"0.61986864\",\n \"0.61771876\",\n \"0.61711776\",\n \"0.6156518\",\n \"0.61525047\",\n \"0.6148496\",\n \"0.61477834\",\n \"0.61300063\",\n \"0.6129734\",\n \"0.6116277\",\n \"0.6108904\",\n \"0.61040914\",\n \"0.6092237\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.60846055\",\n \"0.607855\",\n \"0.60598606\",\n \"0.6054412\",\n \"0.6053824\",\n \"0.6043676\",\n \"0.60415584\",\n \"0.6039986\",\n \"0.603894\",\n \"0.60306025\",\n \"0.60221636\",\n \"0.60196185\",\n \"0.60159147\",\n \"0.60134304\",\n \"0.6012753\",\n \"0.6008091\",\n \"0.6007396\",\n \"0.6005517\",\n \"0.5996955\",\n \"0.59947175\",\n \"0.5994533\",\n \"0.5991163\",\n \"0.5988958\",\n \"0.5985996\",\n \"0.5985604\",\n \"0.5985519\",\n \"0.59737134\",\n \"0.5971817\",\n \"0.5950741\",\n \"0.59409916\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7449101"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":4776,"cells":{"query":{"kind":"string","value":"Returns the number of lines of code"},"document":{"kind":"string","value":"def get_line_count(blob):\n return len(blob.split('\\n'))"},"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 _getNewCodeLength(self):\n nb_lines = 0\n for line in self.body.splitlines():\n if not line.startswith(\"-\"):\n nb_lines += 1\n return nb_lines","def _getOldCodeLength(self):\n nb_lines = 0\n for line in self.body.splitlines():\n if not line.startswith(\"+\"):\n nb_lines += 1\n return nb_lines","def lines_of_code(project: Project) -> int:\n ret = sh.cloc(\"--quiet\", \"--include-lang=Python\", \"--yaml\", str(project.root))\n ret_obj = list(yaml.safe_load_all(str(ret)))\n return ret_obj[0][\"Python\"][\"code\"]","def no_of_lines():\n number_of_lines = len(open(FILE_NAME).readlines())\n return number_of_lines","def line_count(fname):\n return int(call(['wc', '-l', fname]).strip().split()[0])","def get_linecount(self):\n self._update_linetab(len(self.input))\n lcount = len(self.__linepos)\n return lcount - (self.input.endswith('\\n'))","def number_of_lines(filename=\"\"):\n c = 0\n with open(filename) as f:\n for r in f:\n c += 1\n return(c)","def number_of_lines(filename=\"\"):\n num_lines = 0\n with open(filename, encoding=\"utf-8\") as myFile:\n return myFile.read().count('\\n')","def linecount(x):\n return sum(1 for char in x if char == \"\\n\")","def number_of_lines(filename=\"\"):\n count = 0\n with open(filename) as f:\n for lines in f:\n count += 1\n return (count)","def linecounter(x):\n return linecount(x) + longlines(x)","def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 11)","def __len__(self):\n nlines = self.get_endline() - self.get_startline() + 1\n if nlines < 0:\n nlines = 0\n return nlines","def test_line_count(self):\n\t\tself.assertEqual(analyse_text(self.filename)[0], 4)","def num_lines(file_name):\n with open(file_name) as file:\n for i, line in enumerate(file):\n pass\n return i + 1","def number_of_lines(filename=\"\"):\n with open(filename, encoding='UTF8') as a_file:\n\n lineNum = 0\n\n for eachLine in a_file:\n lineNum += 1\n return lineNum","def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 4)","def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 4)","def number_of_lines(filename=\"\"):\n with open(filename, encoding=\"utf-8\") as file:\n text = file.readlines()\n return len(text)","def number_of_lines(filename=\"\"):\n\n number_lines = 0\n with open(filename) as file_opened:\n for line in file_opened:\n number_lines += 1\n return number_lines","def num_lines(fname):\n with open(fname) as f:\n for i, l in enumerate(f):\n pass\n return( i + 1 )","def CountLineNumber(filename):\n\n fp = open(os.path.abspath(filename), \"r\");\n lines = 0\n for line in fp.readlines():\n lines = lines + 1\n fp.close()\n return lines","def number_of_lines(filename=\"\"):\n counter = 0\n with open(filename, \"r\") as my_file:\n for line in my_file:\n counter += 1\n my_file.close()\n return (counter)","def num_lines(self, snapshot: Bug, filepath: str) -> int:\n return len(self._line_offsets(snapshot, filepath))","def n_lines(self):\n try: \n return self._n_lines\n except AttributeError:\n self._n_lines = len(self.lines())\n return self._n_lines","def number_of_lines(filename=\"\"):\n n_lines = 0\n with open(filename, encoding='utf-8', mode='r') as file:\n for lines in file:\n n_lines += 1\n return n_lines","def number_of_lines(filename=\"\"):\n line_number = 0\n with open(filename, encoding='UTF8') as f:\n for line in f:\n line_number += 1\n return line_number","def lineNumber(self):\n if self.__lineNumber is None:\n self.__lineNumber = self.__source.count(\"\\n\", 0, self.__offset) + 1\n\n return self.__lineNumber","def count_lines(filename):\r\n with open(filename, 'rb') as f:\r\n return sum(1 for line in f)","def calculate_line_number(text):\n return len([line for line in text.split(\"\\n\") if line.strip() != \"\"])","def number_of_lines(filename=\"\"):\n n = 0\n if filename == \"\":\n return n\n with open(filename, \"r\") as f:\n for line in f:\n n = n + 1\n return n","def count_lines(file_uri):\n\n with open(file_uri) as file_obj:\n for i, line in enumerate(file_obj):\n pass\n num_lines = i + 1\n return num_lines","def count_lines(filename):\n with open(filename, 'rb') as f:\n return sum(1 for line in f)","def fileLineCount(fPath):\n\twith open(fPath) as f:\n\t\tfor i, li in enumerate(f):\n\t\t\tpass\n\treturn (i + 1)","def numLinesInFile(fname):\n with open(fname, 'rb') as f:\n for i, l in enumerate(f):\n pass\n return i + 1","def line_count(file):\n with open(file, \"r\") as f:\n return sum(1 for line in f)","def countLines(file_name, start, end):\r\n\r\n with open(file_name, \"r\") as file:\r\n counter_lines = 0\r\n\r\n for line in islice(file, start, end):\r\n counter_lines += 1\r\n\r\n return counter_lines","def number_of_lines(filename=\"\"):\n with open(filename, encoding='utf-8') as myFile:\n return sum([1 for line in myFile])","def analyzeCppCode(self, sourceFile):\n numLines = 0 # Number of lines of code\n numComments = 0 # Number of comments in the code\n\n f=self.openFile(sourceFile)\n for line in f:\n numLines += 1;\n loc = 0\n while (loc != -1): #count the # of times the '/*' characters appears\n loc = line.find(\"#\", loc)\n if (loc != -1):\n loc += 1\n numComments += 1\n \n loc = 0\n loc = line.find('//', loc) #count the # of times the '//' characters appears\n if (loc != -1):\n loc += 1\n numComments += 1\n \n f.close()\n return numLines, numComments","def count_lines(stream):\n return len(stream.readlines())","def file_len(full_path):\n f = open(full_path)\n nr_of_lines = sum(1 for line in f)\n f.close()\n return nr_of_lines","def countlines(fn):\n with open(fn, 'rb') as f:\n bufgen = takewhile(\n lambda x: x, (f.read(1024 * 1024) for _ in repeat(None)))\n ln = sum(buf.count(b'\\n') for buf in bufgen)\n return ln","def line_length(self, dLine = 0):\n return self.buffer.line_length(self.line + dLine)","def len(self):\n\t\t\n\t\treturn len(self.line)","def GetNumberCodeBlocks(separators):\n num_blocks = len(separators) + 1\n assert num_blocks >= 2\n return num_blocks","def get_line_no(obj):\n try:\n lineno = getsourcelines(obj)[1]\n except:\n # no code found\n lineno = None\n return lineno","def get_code_length(code):\n ignore = [\"{\", \"}\", \"(\", \")\", \";\", \":\"]\n for ig in ignore:\n code = code.replace(ig, \"\")\n return len([e.strip() for e in code.split(\"\\n\") if (not e.strip() == \"\") and (not e.strip() == u\"'\") and (not e.strip() == u\"u'\")])","def get_file_line_count(a_file):\r\n count = -1\r\n try:\r\n for count, line in enumerate(open(a_file, \"rU\")):\r\n pass\r\n except IOError:\r\n pass\r\n count += 1\r\n return count","def get_file_line_count(a_file):\r\n count = -1\r\n try:\r\n for count, line in enumerate(open(a_file, \"rU\")):\r\n pass\r\n except IOError:\r\n pass\r\n count += 1\r\n return count","def sentence_count(self):\n count = 0\n for line in self.lines:\n if '.' in line:\n count += 1\n if count == 0:\n count = 1\n return count\n #return line.count('.')\n #else:\n #return 1","def count_lines_of_code(repo_path):\n\n cmd = \"cloc\"\n out = subprocess.Popen(\n f\"{cmd} {repo_path}\",\n shell=True,\n stdout=subprocess.PIPE,\n universal_newlines=True,\n ).stdout.read()\n\n str = StringIO(out)\n for line in str:\n if line.startswith(\"--------\"):\n break\n data = pd.read_csv(\n str,\n skiprows=0,\n skipfooter=3,\n skip_blank_lines=True,\n sep=r\"[ ]{5,}\",\n index_col=\"Language\",\n comment=\"-\",\n engine=\"python\",\n )\n\n return data","def no_of_lines():\n return render_template(\"no_of_lines.html\", no_of_lines=no_of_lines())","def getIndentationLevel(self, code_line):\n print(\"the code line : \", code_line)\n return len(code_line) - len(code_line.lstrip(\" \"))","def num_lines_in_file(file_name):\n line_idx = -1\n with open(file_name) as file:\n for line_idx, _ in enumerate(file):\n pass\n return line_idx + 1","def _get_last_code_line():\n return max(_code_lines) + 2","def peek_length(self) -> Optional[int]:\n LINE_CUTOFF = 10_000\n count = 0\n with open(self.path, mode='r') as f:\n for _ in f:\n count += 1\n\n return count","def _loc(self) -> int:\n return len(self.lines)","def file_number_of_lines(file_name):\n try:\n item = (0, None)\n with open(file_name) as file_handler:\n for item in enumerate(file_handler):\n pass\n return item[0] + 1\n except IOError:\n return 0","def bufcount(filename):\n\timport gzip\n\tif filename.split('.')[-1] in ['gz','gzip']: f = gzip.open(filename)\n\telse: f = open(filename)\n\tlines = 0\n\tbuf_size = 1024 * 1024\n\tread_f = f.read # loop optimization\n\t\n\tbuf = read_f(buf_size)\n\twhile buf:\n\t\tlines += buf.count('\\n')\n\t\tbuf = read_f(buf_size)\n\t\tf.close\n\treturn lines","def lines_processed(self) -> int:\n with self.lock:\n return self._lines_processed","def get_n_lines(file):\n return sum(1 for _ in open(file))","def get_line_length(file_path):\n with open(file_path, 'rb+') as f:\n return len(f.readline())","def test_makefile_total_lines(cookies, context, black, pipenv, mypy):\n ctx = context(black=black, pipenv=pipenv, mypy=mypy)\n result = cookies.bake(extra_context=ctx)\n\n makefile = result.project.join('Makefile')\n lines = makefile.readlines(cr=False)\n\n expected = 27\n expected -= 2 if black == 'n' else 0\n expected -= 1 if mypy == 'do not use' else 0\n assert len(lines) == expected","def lineno():\n return str(' - Statement - line number: '+str(inspect.currentframe().f_back.f_lineno))","def file_len(fname):\n with open(fname) as f:\n for i, l in enumerate(f):\n pass\n Nrows = i + 1\n return Nrows","def count_len(self):\n total = 0\n for filename in self.filenames:\n f = open(os.path.join(self.directory, filename))\n line_count = 0\n for _ in f:\n line_count += 1\n if line_count < self.window_size:\n continue\n else:\n total += line_count - self.window_size + 1\n return total","def line(self) -> int:","def linenum(self):\n return self.source_frame_stack.linenum()","def error_count():\n return cpp_style.error_count()","def count() -> int:\n pass","def get_number_lines(running_reward_file, running_loss_file, action_count_file):\n if Path(running_reward_file).exists():\n data = np.loadtxt(running_reward_file).reshape(-1,2)\n return data.shape[0]\n if Path(running_loss_file).exists():\n data = np.loadtxt(running_loss_file).reshape(-1,2)\n return data.shape[0]\n if Path(action_count_file).exists():\n data = np.loadtxt(action_count_file).reshape(-1,2)\n return data.shape[0]\n raise NameError(\"No files to count lines\")","def count_lines(filename):\n with open(filename, 'r', encoding='utf-8') as file:\n lines_count = int()\n for line in file:\n lines_count += 1\n info_tuple = (filename, lines_count)\n return info_tuple","def lineno():\n\treturn inspect.currentframe().f_back.f_lineno","def lineno():\r\n\treturn inspect.currentframe().f_back.f_lineno","def lineno():\n\n return inspect.currentframe().f_back.f_lineno","def count_lines(file_obj):\n for idx, line in enumerate(file_obj):\n pass\n file_obj.seek(0)\n return idx + 1","def _count_comment_rows(vcf_path):\n vcf_lines_generator = lines_from_vcf(vcf_path)\n\n comment_lines_count = 0\n for line in vcf_lines_generator:\n if line.startswith('#'):\n comment_lines_count += 1\n else:\n vcf_lines_generator.close() # Don't leave the file handle opened\n # Don't continue reading the VCF once the comments section ended\n break\n\n return comment_lines_count","def lineno():\n return inspect.currentframe().f_back.f_lineno","def lineno():\n return inspect.currentframe().f_back.f_lineno","def lineno():\n return inspect.currentframe().f_back.f_lineno","def lineno():\n return inspect.currentframe().f_back.f_lineno","def lineno():\n return inspect.currentframe().f_back.f_lineno","def lineno():\n return inspect.currentframe().f_back.f_lineno","def lineno():\n return \"line \" + str(inspect.currentframe().f_back.f_lineno) + \": \"","def get_total_line_counts(self):\n return get_total_line_counts(self.files.all())","def _get_line_number(vcf):\n with open(vcf) as vcf_input_file:\n i = -1\n for line in vcf_input_file:\n i += 1\n return i","def getNumRows(self) -> int:\n ...","def num_bytes_per_line(self):\n return self._num_bytes_per_line","def get_filesize(inputfile) -> int:\n with open(inputfile, \"rb\") as f:\n lines = 0\n buf_size = 1024 * 1024\n read_f = f.raw.read\n\n buf = read_f(buf_size)\n while buf:\n lines += buf.count(b\"\\n\")\n buf = read_f(buf_size)\n\n return lines","def main():\n\tcount = 0\n\twith open(FILE, 'r') as f:\n\t\tfor line in f:\n\t\t\tcount += 1\n\tprint('There are ' + str(count) + ' lines in '+str(FILE))","def count_total_line():\n count = 0\n file_count = 0\n for filename in os.listdir('.'):\n if filename.endswith(\".json\"):\n file_count += 1\n with open(filename, 'r', encoding='utf8') as f:\n for line in f:\n count += 1\n print(\"There are {0} lines in {1} json files\".format(count, file_count))","def do_len(self, line):\n\t\tif isinstance(self.cl, Book):\n\t\t\tprint(len(self.cl.data))\n\t\telse:\n\t\t\tprint(\"To get number of contacts you need to open or create book\")","def data_len(self):\n Nrows_data = 0\n with self._compression_safe_file_opener(self.input_fname, \"r\") as f:\n for i, l in enumerate(f):\n if (l[0 : len(self.header_char)] != self.header_char) and (l != \"\\n\"):\n Nrows_data += 1\n return Nrows_data","def file_len(filename):\n with open(filename) as f:\n for i, l in enumerate(f):\n pass\n return i + 1","def get_lineno(self):\n return self.lexer.get_lineno()","def word_count(self):\n print(self.words())\n return len(self.words())\n #count = 0\n #for lines in self.lines:\n # line = lines.strip(os.linesep)\n # wordslst = line.split()\n # count += len(wordslst)\n #return count\n #joined_string = ''.join(self.lines)\n #for word in joined_string:\n # if word != ' ' and word != '\\n' and word != '\\t':\n # count += 1\n #print('READ ME ––––––––––', self.lines)\n #print(joined_string)\n #print(line)\n #print(wordslst)\n #print(count)","def len(self, table):\n return self.get_table_nb_lines(table)","def __len__(self):\n return len(self._statements)","def file_length(fileName):\n with open(f_pass) as f:\n for i, l in enumerate(f):\n pass\n return i + 1","def analyzePythonCode(self, sourceFile):\n numLines = 0 # Number of lines of code\n numDocStr = 0 # Number of doc strings in code\n numComments = 0 # Number of comments in the code\n numDefs = 0 # Number of functions\n numClasses = 0 # Number of classes\n f=self.openFile(sourceFile)\n for line in f:\n numLines += 1;\n loc = 0\n while (loc != -1): #count the # of times the '#' characters appears\n loc = line.find(\"#\", loc)\n if (loc != -1):\n loc += 1\n numComments += 1\n loc = 0\n while (loc != -1):\n loc = line.find('\"#', loc) #discount the # of times the '#' char appears as the 1st char in double quotes (skip hex constants)\n if (loc != -1):\n loc += 1\n numComments -= 1\n loc = 0\n while (loc != -1):\n loc = line.find(\"'#\", loc) #discount the # of times the '#' char appears as the 1st char in single quotes (skip hex constants)\n if (loc != -1):\n loc += 1\n numComments -= 1\n loc = 0\n while (loc != -1): #count the # of ''' found\n loc = line.find(\"'''\", loc)\n if (loc != -1):\n loc += 1\n numDocStr += 1\n loc = 0\n while (loc != -1): #count the # of \"\"\" found\n loc = line.find('\"\"\"', loc)\n if (loc != -1):\n loc += 1\n numDocStr += 1\n\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES) != '':\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'def': #count # of defs\n numDefs += 1\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'class': #count # of classes\n numClasses += 1\n \n f.close()\n numDocStr /= 2 #assume that the \"\"\" and ''' chars appear in pairs \n return numLines, numDocStr, numComments, numDefs, numClasses"],"string":"[\n \"def _getNewCodeLength(self):\\n nb_lines = 0\\n for line in self.body.splitlines():\\n if not line.startswith(\\\"-\\\"):\\n nb_lines += 1\\n return nb_lines\",\n \"def _getOldCodeLength(self):\\n nb_lines = 0\\n for line in self.body.splitlines():\\n if not line.startswith(\\\"+\\\"):\\n nb_lines += 1\\n return nb_lines\",\n \"def lines_of_code(project: Project) -> int:\\n ret = sh.cloc(\\\"--quiet\\\", \\\"--include-lang=Python\\\", \\\"--yaml\\\", str(project.root))\\n ret_obj = list(yaml.safe_load_all(str(ret)))\\n return ret_obj[0][\\\"Python\\\"][\\\"code\\\"]\",\n \"def no_of_lines():\\n number_of_lines = len(open(FILE_NAME).readlines())\\n return number_of_lines\",\n \"def line_count(fname):\\n return int(call(['wc', '-l', fname]).strip().split()[0])\",\n \"def get_linecount(self):\\n self._update_linetab(len(self.input))\\n lcount = len(self.__linepos)\\n return lcount - (self.input.endswith('\\\\n'))\",\n \"def number_of_lines(filename=\\\"\\\"):\\n c = 0\\n with open(filename) as f:\\n for r in f:\\n c += 1\\n return(c)\",\n \"def number_of_lines(filename=\\\"\\\"):\\n num_lines = 0\\n with open(filename, encoding=\\\"utf-8\\\") as myFile:\\n return myFile.read().count('\\\\n')\",\n \"def linecount(x):\\n return sum(1 for char in x if char == \\\"\\\\n\\\")\",\n \"def number_of_lines(filename=\\\"\\\"):\\n count = 0\\n with open(filename) as f:\\n for lines in f:\\n count += 1\\n return (count)\",\n \"def linecounter(x):\\n return linecount(x) + longlines(x)\",\n \"def test_line_count(self):\\n self.assertEqual(analyze_text(self.filename)[0], 11)\",\n \"def __len__(self):\\n nlines = self.get_endline() - self.get_startline() + 1\\n if nlines < 0:\\n nlines = 0\\n return nlines\",\n \"def test_line_count(self):\\n\\t\\tself.assertEqual(analyse_text(self.filename)[0], 4)\",\n \"def num_lines(file_name):\\n with open(file_name) as file:\\n for i, line in enumerate(file):\\n pass\\n return i + 1\",\n \"def number_of_lines(filename=\\\"\\\"):\\n with open(filename, encoding='UTF8') as a_file:\\n\\n lineNum = 0\\n\\n for eachLine in a_file:\\n lineNum += 1\\n return lineNum\",\n \"def test_line_count(self):\\n self.assertEqual(analyze_text(self.filename)[0], 4)\",\n \"def test_line_count(self):\\n self.assertEqual(analyze_text(self.filename)[0], 4)\",\n \"def number_of_lines(filename=\\\"\\\"):\\n with open(filename, encoding=\\\"utf-8\\\") as file:\\n text = file.readlines()\\n return len(text)\",\n \"def number_of_lines(filename=\\\"\\\"):\\n\\n number_lines = 0\\n with open(filename) as file_opened:\\n for line in file_opened:\\n number_lines += 1\\n return number_lines\",\n \"def num_lines(fname):\\n with open(fname) as f:\\n for i, l in enumerate(f):\\n pass\\n return( i + 1 )\",\n \"def CountLineNumber(filename):\\n\\n fp = open(os.path.abspath(filename), \\\"r\\\");\\n lines = 0\\n for line in fp.readlines():\\n lines = lines + 1\\n fp.close()\\n return lines\",\n \"def number_of_lines(filename=\\\"\\\"):\\n counter = 0\\n with open(filename, \\\"r\\\") as my_file:\\n for line in my_file:\\n counter += 1\\n my_file.close()\\n return (counter)\",\n \"def num_lines(self, snapshot: Bug, filepath: str) -> int:\\n return len(self._line_offsets(snapshot, filepath))\",\n \"def n_lines(self):\\n try: \\n return self._n_lines\\n except AttributeError:\\n self._n_lines = len(self.lines())\\n return self._n_lines\",\n \"def number_of_lines(filename=\\\"\\\"):\\n n_lines = 0\\n with open(filename, encoding='utf-8', mode='r') as file:\\n for lines in file:\\n n_lines += 1\\n return n_lines\",\n \"def number_of_lines(filename=\\\"\\\"):\\n line_number = 0\\n with open(filename, encoding='UTF8') as f:\\n for line in f:\\n line_number += 1\\n return line_number\",\n \"def lineNumber(self):\\n if self.__lineNumber is None:\\n self.__lineNumber = self.__source.count(\\\"\\\\n\\\", 0, self.__offset) + 1\\n\\n return self.__lineNumber\",\n \"def count_lines(filename):\\r\\n with open(filename, 'rb') as f:\\r\\n return sum(1 for line in f)\",\n \"def calculate_line_number(text):\\n return len([line for line in text.split(\\\"\\\\n\\\") if line.strip() != \\\"\\\"])\",\n \"def number_of_lines(filename=\\\"\\\"):\\n n = 0\\n if filename == \\\"\\\":\\n return n\\n with open(filename, \\\"r\\\") as f:\\n for line in f:\\n n = n + 1\\n return n\",\n \"def count_lines(file_uri):\\n\\n with open(file_uri) as file_obj:\\n for i, line in enumerate(file_obj):\\n pass\\n num_lines = i + 1\\n return num_lines\",\n \"def count_lines(filename):\\n with open(filename, 'rb') as f:\\n return sum(1 for line in f)\",\n \"def fileLineCount(fPath):\\n\\twith open(fPath) as f:\\n\\t\\tfor i, li in enumerate(f):\\n\\t\\t\\tpass\\n\\treturn (i + 1)\",\n \"def numLinesInFile(fname):\\n with open(fname, 'rb') as f:\\n for i, l in enumerate(f):\\n pass\\n return i + 1\",\n \"def line_count(file):\\n with open(file, \\\"r\\\") as f:\\n return sum(1 for line in f)\",\n \"def countLines(file_name, start, end):\\r\\n\\r\\n with open(file_name, \\\"r\\\") as file:\\r\\n counter_lines = 0\\r\\n\\r\\n for line in islice(file, start, end):\\r\\n counter_lines += 1\\r\\n\\r\\n return counter_lines\",\n \"def number_of_lines(filename=\\\"\\\"):\\n with open(filename, encoding='utf-8') as myFile:\\n return sum([1 for line in myFile])\",\n \"def analyzeCppCode(self, sourceFile):\\n numLines = 0 # Number of lines of code\\n numComments = 0 # Number of comments in the code\\n\\n f=self.openFile(sourceFile)\\n for line in f:\\n numLines += 1;\\n loc = 0\\n while (loc != -1): #count the # of times the '/*' characters appears\\n loc = line.find(\\\"#\\\", loc)\\n if (loc != -1):\\n loc += 1\\n numComments += 1\\n \\n loc = 0\\n loc = line.find('//', loc) #count the # of times the '//' characters appears\\n if (loc != -1):\\n loc += 1\\n numComments += 1\\n \\n f.close()\\n return numLines, numComments\",\n \"def count_lines(stream):\\n return len(stream.readlines())\",\n \"def file_len(full_path):\\n f = open(full_path)\\n nr_of_lines = sum(1 for line in f)\\n f.close()\\n return nr_of_lines\",\n \"def countlines(fn):\\n with open(fn, 'rb') as f:\\n bufgen = takewhile(\\n lambda x: x, (f.read(1024 * 1024) for _ in repeat(None)))\\n ln = sum(buf.count(b'\\\\n') for buf in bufgen)\\n return ln\",\n \"def line_length(self, dLine = 0):\\n return self.buffer.line_length(self.line + dLine)\",\n \"def len(self):\\n\\t\\t\\n\\t\\treturn len(self.line)\",\n \"def GetNumberCodeBlocks(separators):\\n num_blocks = len(separators) + 1\\n assert num_blocks >= 2\\n return num_blocks\",\n \"def get_line_no(obj):\\n try:\\n lineno = getsourcelines(obj)[1]\\n except:\\n # no code found\\n lineno = None\\n return lineno\",\n \"def get_code_length(code):\\n ignore = [\\\"{\\\", \\\"}\\\", \\\"(\\\", \\\")\\\", \\\";\\\", \\\":\\\"]\\n for ig in ignore:\\n code = code.replace(ig, \\\"\\\")\\n return len([e.strip() for e in code.split(\\\"\\\\n\\\") if (not e.strip() == \\\"\\\") and (not e.strip() == u\\\"'\\\") and (not e.strip() == u\\\"u'\\\")])\",\n \"def get_file_line_count(a_file):\\r\\n count = -1\\r\\n try:\\r\\n for count, line in enumerate(open(a_file, \\\"rU\\\")):\\r\\n pass\\r\\n except IOError:\\r\\n pass\\r\\n count += 1\\r\\n return count\",\n \"def get_file_line_count(a_file):\\r\\n count = -1\\r\\n try:\\r\\n for count, line in enumerate(open(a_file, \\\"rU\\\")):\\r\\n pass\\r\\n except IOError:\\r\\n pass\\r\\n count += 1\\r\\n return count\",\n \"def sentence_count(self):\\n count = 0\\n for line in self.lines:\\n if '.' in line:\\n count += 1\\n if count == 0:\\n count = 1\\n return count\\n #return line.count('.')\\n #else:\\n #return 1\",\n \"def count_lines_of_code(repo_path):\\n\\n cmd = \\\"cloc\\\"\\n out = subprocess.Popen(\\n f\\\"{cmd} {repo_path}\\\",\\n shell=True,\\n stdout=subprocess.PIPE,\\n universal_newlines=True,\\n ).stdout.read()\\n\\n str = StringIO(out)\\n for line in str:\\n if line.startswith(\\\"--------\\\"):\\n break\\n data = pd.read_csv(\\n str,\\n skiprows=0,\\n skipfooter=3,\\n skip_blank_lines=True,\\n sep=r\\\"[ ]{5,}\\\",\\n index_col=\\\"Language\\\",\\n comment=\\\"-\\\",\\n engine=\\\"python\\\",\\n )\\n\\n return data\",\n \"def no_of_lines():\\n return render_template(\\\"no_of_lines.html\\\", no_of_lines=no_of_lines())\",\n \"def getIndentationLevel(self, code_line):\\n print(\\\"the code line : \\\", code_line)\\n return len(code_line) - len(code_line.lstrip(\\\" \\\"))\",\n \"def num_lines_in_file(file_name):\\n line_idx = -1\\n with open(file_name) as file:\\n for line_idx, _ in enumerate(file):\\n pass\\n return line_idx + 1\",\n \"def _get_last_code_line():\\n return max(_code_lines) + 2\",\n \"def peek_length(self) -> Optional[int]:\\n LINE_CUTOFF = 10_000\\n count = 0\\n with open(self.path, mode='r') as f:\\n for _ in f:\\n count += 1\\n\\n return count\",\n \"def _loc(self) -> int:\\n return len(self.lines)\",\n \"def file_number_of_lines(file_name):\\n try:\\n item = (0, None)\\n with open(file_name) as file_handler:\\n for item in enumerate(file_handler):\\n pass\\n return item[0] + 1\\n except IOError:\\n return 0\",\n \"def bufcount(filename):\\n\\timport gzip\\n\\tif filename.split('.')[-1] in ['gz','gzip']: f = gzip.open(filename)\\n\\telse: f = open(filename)\\n\\tlines = 0\\n\\tbuf_size = 1024 * 1024\\n\\tread_f = f.read # loop optimization\\n\\t\\n\\tbuf = read_f(buf_size)\\n\\twhile buf:\\n\\t\\tlines += buf.count('\\\\n')\\n\\t\\tbuf = read_f(buf_size)\\n\\t\\tf.close\\n\\treturn lines\",\n \"def lines_processed(self) -> int:\\n with self.lock:\\n return self._lines_processed\",\n \"def get_n_lines(file):\\n return sum(1 for _ in open(file))\",\n \"def get_line_length(file_path):\\n with open(file_path, 'rb+') as f:\\n return len(f.readline())\",\n \"def test_makefile_total_lines(cookies, context, black, pipenv, mypy):\\n ctx = context(black=black, pipenv=pipenv, mypy=mypy)\\n result = cookies.bake(extra_context=ctx)\\n\\n makefile = result.project.join('Makefile')\\n lines = makefile.readlines(cr=False)\\n\\n expected = 27\\n expected -= 2 if black == 'n' else 0\\n expected -= 1 if mypy == 'do not use' else 0\\n assert len(lines) == expected\",\n \"def lineno():\\n return str(' - Statement - line number: '+str(inspect.currentframe().f_back.f_lineno))\",\n \"def file_len(fname):\\n with open(fname) as f:\\n for i, l in enumerate(f):\\n pass\\n Nrows = i + 1\\n return Nrows\",\n \"def count_len(self):\\n total = 0\\n for filename in self.filenames:\\n f = open(os.path.join(self.directory, filename))\\n line_count = 0\\n for _ in f:\\n line_count += 1\\n if line_count < self.window_size:\\n continue\\n else:\\n total += line_count - self.window_size + 1\\n return total\",\n \"def line(self) -> int:\",\n \"def linenum(self):\\n return self.source_frame_stack.linenum()\",\n \"def error_count():\\n return cpp_style.error_count()\",\n \"def count() -> int:\\n pass\",\n \"def get_number_lines(running_reward_file, running_loss_file, action_count_file):\\n if Path(running_reward_file).exists():\\n data = np.loadtxt(running_reward_file).reshape(-1,2)\\n return data.shape[0]\\n if Path(running_loss_file).exists():\\n data = np.loadtxt(running_loss_file).reshape(-1,2)\\n return data.shape[0]\\n if Path(action_count_file).exists():\\n data = np.loadtxt(action_count_file).reshape(-1,2)\\n return data.shape[0]\\n raise NameError(\\\"No files to count lines\\\")\",\n \"def count_lines(filename):\\n with open(filename, 'r', encoding='utf-8') as file:\\n lines_count = int()\\n for line in file:\\n lines_count += 1\\n info_tuple = (filename, lines_count)\\n return info_tuple\",\n \"def lineno():\\n\\treturn inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\r\\n\\treturn inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\n\\n return inspect.currentframe().f_back.f_lineno\",\n \"def count_lines(file_obj):\\n for idx, line in enumerate(file_obj):\\n pass\\n file_obj.seek(0)\\n return idx + 1\",\n \"def _count_comment_rows(vcf_path):\\n vcf_lines_generator = lines_from_vcf(vcf_path)\\n\\n comment_lines_count = 0\\n for line in vcf_lines_generator:\\n if line.startswith('#'):\\n comment_lines_count += 1\\n else:\\n vcf_lines_generator.close() # Don't leave the file handle opened\\n # Don't continue reading the VCF once the comments section ended\\n break\\n\\n return comment_lines_count\",\n \"def lineno():\\n return inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\n return inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\n return inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\n return inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\n return inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\n return inspect.currentframe().f_back.f_lineno\",\n \"def lineno():\\n return \\\"line \\\" + str(inspect.currentframe().f_back.f_lineno) + \\\": \\\"\",\n \"def get_total_line_counts(self):\\n return get_total_line_counts(self.files.all())\",\n \"def _get_line_number(vcf):\\n with open(vcf) as vcf_input_file:\\n i = -1\\n for line in vcf_input_file:\\n i += 1\\n return i\",\n \"def getNumRows(self) -> int:\\n ...\",\n \"def num_bytes_per_line(self):\\n return self._num_bytes_per_line\",\n \"def get_filesize(inputfile) -> int:\\n with open(inputfile, \\\"rb\\\") as f:\\n lines = 0\\n buf_size = 1024 * 1024\\n read_f = f.raw.read\\n\\n buf = read_f(buf_size)\\n while buf:\\n lines += buf.count(b\\\"\\\\n\\\")\\n buf = read_f(buf_size)\\n\\n return lines\",\n \"def main():\\n\\tcount = 0\\n\\twith open(FILE, 'r') as f:\\n\\t\\tfor line in f:\\n\\t\\t\\tcount += 1\\n\\tprint('There are ' + str(count) + ' lines in '+str(FILE))\",\n \"def count_total_line():\\n count = 0\\n file_count = 0\\n for filename in os.listdir('.'):\\n if filename.endswith(\\\".json\\\"):\\n file_count += 1\\n with open(filename, 'r', encoding='utf8') as f:\\n for line in f:\\n count += 1\\n print(\\\"There are {0} lines in {1} json files\\\".format(count, file_count))\",\n \"def do_len(self, line):\\n\\t\\tif isinstance(self.cl, Book):\\n\\t\\t\\tprint(len(self.cl.data))\\n\\t\\telse:\\n\\t\\t\\tprint(\\\"To get number of contacts you need to open or create book\\\")\",\n \"def data_len(self):\\n Nrows_data = 0\\n with self._compression_safe_file_opener(self.input_fname, \\\"r\\\") as f:\\n for i, l in enumerate(f):\\n if (l[0 : len(self.header_char)] != self.header_char) and (l != \\\"\\\\n\\\"):\\n Nrows_data += 1\\n return Nrows_data\",\n \"def file_len(filename):\\n with open(filename) as f:\\n for i, l in enumerate(f):\\n pass\\n return i + 1\",\n \"def get_lineno(self):\\n return self.lexer.get_lineno()\",\n \"def word_count(self):\\n print(self.words())\\n return len(self.words())\\n #count = 0\\n #for lines in self.lines:\\n # line = lines.strip(os.linesep)\\n # wordslst = line.split()\\n # count += len(wordslst)\\n #return count\\n #joined_string = ''.join(self.lines)\\n #for word in joined_string:\\n # if word != ' ' and word != '\\\\n' and word != '\\\\t':\\n # count += 1\\n #print('READ ME ––––––––––', self.lines)\\n #print(joined_string)\\n #print(line)\\n #print(wordslst)\\n #print(count)\",\n \"def len(self, table):\\n return self.get_table_nb_lines(table)\",\n \"def __len__(self):\\n return len(self._statements)\",\n \"def file_length(fileName):\\n with open(f_pass) as f:\\n for i, l in enumerate(f):\\n pass\\n return i + 1\",\n \"def analyzePythonCode(self, sourceFile):\\n numLines = 0 # Number of lines of code\\n numDocStr = 0 # Number of doc strings in code\\n numComments = 0 # Number of comments in the code\\n numDefs = 0 # Number of functions\\n numClasses = 0 # Number of classes\\n f=self.openFile(sourceFile)\\n for line in f:\\n numLines += 1;\\n loc = 0\\n while (loc != -1): #count the # of times the '#' characters appears\\n loc = line.find(\\\"#\\\", loc)\\n if (loc != -1):\\n loc += 1\\n numComments += 1\\n loc = 0\\n while (loc != -1):\\n loc = line.find('\\\"#', loc) #discount the # of times the '#' char appears as the 1st char in double quotes (skip hex constants)\\n if (loc != -1):\\n loc += 1\\n numComments -= 1\\n loc = 0\\n while (loc != -1):\\n loc = line.find(\\\"'#\\\", loc) #discount the # of times the '#' char appears as the 1st char in single quotes (skip hex constants)\\n if (loc != -1):\\n loc += 1\\n numComments -= 1\\n loc = 0\\n while (loc != -1): #count the # of ''' found\\n loc = line.find(\\\"'''\\\", loc)\\n if (loc != -1):\\n loc += 1\\n numDocStr += 1\\n loc = 0\\n while (loc != -1): #count the # of \\\"\\\"\\\" found\\n loc = line.find('\\\"\\\"\\\"', loc)\\n if (loc != -1):\\n loc += 1\\n numDocStr += 1\\n\\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES) != '':\\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'def': #count # of defs\\n numDefs += 1\\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'class': #count # of classes\\n numClasses += 1\\n \\n f.close()\\n numDocStr /= 2 #assume that the \\\"\\\"\\\" and ''' chars appear in pairs \\n return numLines, numDocStr, numComments, numDefs, numClasses\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7965521","0.7897408","0.75982934","0.7581331","0.74807435","0.7371733","0.7250094","0.7241558","0.72400385","0.72222334","0.7206555","0.7148526","0.71233124","0.709178","0.7083922","0.70714384","0.70620733","0.70620733","0.7023198","0.7015476","0.70146966","0.7013005","0.69860053","0.69675","0.69659233","0.69621384","0.6935532","0.6933272","0.68894506","0.686778","0.6863906","0.68272054","0.6805853","0.6794228","0.6793833","0.67871153","0.6747637","0.6744471","0.66843086","0.66719246","0.66585904","0.66365945","0.66013324","0.65991664","0.65793055","0.65612924","0.65388846","0.6534188","0.6534188","0.6533681","0.6488951","0.6456435","0.6432857","0.64278686","0.64251244","0.6413215","0.64098006","0.6391175","0.635318","0.6349418","0.6334869","0.62895167","0.6233148","0.6216152","0.6213807","0.6213631","0.6211288","0.61742073","0.6164545","0.6163333","0.61625844","0.6160504","0.6151104","0.61435676","0.6131023","0.61304003","0.61228085","0.61099863","0.61099863","0.61099863","0.61099863","0.61099863","0.61099863","0.6105835","0.60660774","0.60472804","0.60425735","0.60361856","0.60305876","0.6016017","0.60140264","0.60129535","0.5988537","0.5979695","0.5968303","0.5924602","0.5920255","0.5915909","0.59001666","0.58822376"],"string":"[\n \"0.7965521\",\n \"0.7897408\",\n \"0.75982934\",\n \"0.7581331\",\n \"0.74807435\",\n \"0.7371733\",\n \"0.7250094\",\n \"0.7241558\",\n \"0.72400385\",\n \"0.72222334\",\n \"0.7206555\",\n \"0.7148526\",\n \"0.71233124\",\n \"0.709178\",\n \"0.7083922\",\n \"0.70714384\",\n \"0.70620733\",\n \"0.70620733\",\n \"0.7023198\",\n \"0.7015476\",\n \"0.70146966\",\n \"0.7013005\",\n \"0.69860053\",\n \"0.69675\",\n \"0.69659233\",\n \"0.69621384\",\n \"0.6935532\",\n \"0.6933272\",\n \"0.68894506\",\n \"0.686778\",\n \"0.6863906\",\n \"0.68272054\",\n \"0.6805853\",\n \"0.6794228\",\n \"0.6793833\",\n \"0.67871153\",\n \"0.6747637\",\n \"0.6744471\",\n \"0.66843086\",\n \"0.66719246\",\n \"0.66585904\",\n \"0.66365945\",\n \"0.66013324\",\n \"0.65991664\",\n \"0.65793055\",\n \"0.65612924\",\n \"0.65388846\",\n \"0.6534188\",\n \"0.6534188\",\n \"0.6533681\",\n \"0.6488951\",\n \"0.6456435\",\n \"0.6432857\",\n \"0.64278686\",\n \"0.64251244\",\n \"0.6413215\",\n \"0.64098006\",\n \"0.6391175\",\n \"0.635318\",\n \"0.6349418\",\n \"0.6334869\",\n \"0.62895167\",\n \"0.6233148\",\n \"0.6216152\",\n \"0.6213807\",\n \"0.6213631\",\n \"0.6211288\",\n \"0.61742073\",\n \"0.6164545\",\n \"0.6163333\",\n \"0.61625844\",\n \"0.6160504\",\n \"0.6151104\",\n \"0.61435676\",\n \"0.6131023\",\n \"0.61304003\",\n \"0.61228085\",\n \"0.61099863\",\n \"0.61099863\",\n \"0.61099863\",\n \"0.61099863\",\n \"0.61099863\",\n \"0.61099863\",\n \"0.6105835\",\n \"0.60660774\",\n \"0.60472804\",\n \"0.60425735\",\n \"0.60361856\",\n \"0.60305876\",\n \"0.6016017\",\n \"0.60140264\",\n \"0.60129535\",\n \"0.5988537\",\n \"0.5979695\",\n \"0.5968303\",\n \"0.5924602\",\n \"0.5920255\",\n \"0.5915909\",\n \"0.59001666\",\n \"0.58822376\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.68328536"},"document_rank":{"kind":"string","value":"31"}}},{"rowIdx":4777,"cells":{"query":{"kind":"string","value":"Removes docstrings from code"},"document":{"kind":"string","value":"def strip_docstring(blob):\n docstring = True\n while docstring == True:\n match_docstring = re.search('\\n\\s*\"\"\"[^\"\"\"]*\"\"\"', blob)\n if not match_docstring:\n docstring = False\n else:\n blob = blob.replace(blob[match_docstring.span()[0]:match_docstring.span()[1]], '')\n return blob"},"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 docstring_hack():\n pass","def main_docstring():","def undoc(func):\n return func","def remove_comments_and_docstrings(source):\n io_obj = StringIO(source)\n out = \"\"\n prev_toktype = tokenize.INDENT\n last_lineno = -1\n last_col = 0\n for tok in tokenize.generate_tokens(io_obj.readline):\n token_type = tok[0]\n token_string = tok[1]\n start_line, start_col = tok[2]\n end_line, end_col = tok[3]\n ltext = tok[4]\n # The following two conditionals preserve indentation.\n # This is necessary because we're not using tokenize.untokenize()\n # (because it spits out code with copious amounts of oddly-placed\n # whitespace).\n if start_line > last_lineno:\n last_col = 0\n if start_col > last_col:\n out += (\" \" * (start_col - last_col))\n # Remove comments:\n if token_type == tokenize.COMMENT:\n pass\n # This series of conditionals removes docstrings:\n elif token_type == tokenize.STRING:\n if prev_toktype != tokenize.INDENT:\n # This is likely a docstring; double-check we're not inside an operator:\n if prev_toktype != tokenize.NEWLINE:\n # Note regarding NEWLINE vs NL: The tokenize module\n # differentiates between newlines that start a new statement\n # and newlines inside of operators such as parens, brackes,\n # and curly braces. Newlines inside of operators are\n # NEWLINE and newlines that start new code are NL.\n # Catch whole-module docstrings:\n if start_col > 0:\n # Unlabelled indentation means we're inside an operator\n out += token_string\n # Note regarding the INDENT token: The tokenize module does\n # not label indentation inside of an operator (parens,\n # brackets, and curly braces) as actual indentation.\n # For example:\n # def foo():\n # \"The spaces before this docstring are tokenize.INDENT\"\n # test = [\n # \"The spaces before this string do not get a token\"\n # ]\n\n else:\n out += token_string\n prev_toktype = token_type\n last_col = end_col\n last_lineno = end_line\n out = '\\n'.join([line for line in out.splitlines() if line.strip()])\n return out","def clean_docstring(doc: str, unused: Literal[\"pre\", \"post\"] = None) -> str:\n doc = doc.split(\"\\n\")\n if unused == \"pre\":\n try:\n index = next(i for i, l in enumerate(doc) if l.strip())\n doc = doc[index:]\n except StopIteration:\n doc = []\n elif unused == \"post\":\n try:\n index = next(i for i, l in enumerate(reversed(doc)) if l.strip())\n doc = doc[: len(doc) - index]\n except StopIteration:\n doc = []\n if doc:\n first_line = doc[0]\n index = len(first_line) - len(first_line.lstrip())\n indent = first_line[:index]\n if all(l.startswith(indent) for l in doc if l.strip()):\n doc = [(l[index:] if l.strip() else l) for l in doc]\n return \"\\n\".join(doc)","def doc_string():\n pass # pass does nothing","def DocString():\n return","def empty_fn_docstr_pass():\n pass","def documentation_only():\n pass","def empty_fn_docstr():","def sanitizeForHTML (docstring):\n\n # Remove @~, which we use as a hack in Doxygen 1.7-1.8\n\n docstring = docstring.replace(r'@~', '')\n\n # First do conditional section inclusion based on the current language.\n # Our possible conditional elements and their meanings are:\n #\n # java: only Java\n # python: only Python\n # perl: only Perl\n # cpp: only C++\n # csharp: only C#\n # conly: only C\n # clike: C, C++\n # notcpp:\tnot C++\n # notclike: not C or C++\n #\n # The notcpp/notclike variants are because Doxygen 1.6.x doesn't have\n # @ifnot, yet sometimes we want to say \"if not C or C++\".\n\n cases = 'java|python|perl|cpp|csharp|conly|clike|notcpp|notclike'\n p = re.compile('@if\\s+(' + cases + ')\\s+(.+?)((@else)\\s+(.+?))?@endif', re.DOTALL)\n docstring = p.sub(translateIfElse, docstring)\n\n # Replace blank lines between paragraphs with <p>. There are two main\n # cases: comments blocks whose lines always begin with an asterix (e.g.,\n # C/C++), and comment blocks where they don't (e.g., Python). The third\n # substitution below does the same thing for blank lines, except for the\n # very end of the doc string.\n\n p = re.compile('^(\\s+)\\*\\s*$', re.MULTILINE)\n docstring = p.sub(r'\\1* <p>', docstring)\n p = re.compile('^((?!\\s+\\Z)\\s+)$', re.MULTILINE)\n docstring = p.sub(r'\\1<p>', docstring)\n p = re.compile('^(?!\\Z)$', re.MULTILINE)\n docstring = p.sub(r'<p>', docstring)\n\n # Javadoc doesn't have an @htmlinclude command, so we process the file\n # inclusion directly here.\n\n p = re.compile('@htmlinclude\\s+([^\\s:;,(){}+|?\"\\'/]+)([\\s:;,(){}+|?\"\\'/])', re.MULTILINE)\n docstring = p.sub(translateInclude, docstring)\n\n # There's no Javadoc verbatim or @code/@endcode equivalent, so we have to\n # convert it to raw HTML and transform the content too. This requires\n # helpers. The following treats both @verbatim and @code the same way.\n\n p = re.compile('@verbatim.+?@endverbatim', re.DOTALL)\n docstring = p.sub(translateVerbatim, docstring)\n p = re.compile('@code.+?@endcode', re.DOTALL)\n docstring = p.sub(translateVerbatim, docstring)\n\n # Javadoc doesn't have a @section or @subsection commands, so we translate\n # those ourselves.\n\n p = re.compile('@section\\s+[^\\s]+\\s+(.*)$', re.MULTILINE)\n docstring = p.sub(r'<h2>\\1</h2>', docstring)\n p = re.compile('@subsection\\s+[^\\s]+\\s+(.*)$', re.MULTILINE)\n docstring = p.sub(r'<h3>\\1</h3>', docstring)\n p = re.compile('@subsubsection\\s+[^\\s]+\\s+(.*)$', re.MULTILINE)\n docstring = p.sub(r'<h4>\\1</h4>', docstring)\n\n # Javadoc doesn't have an @image command. We translate @image html\n # but ditch @image latex.\n\n p = re.compile('@image\\s+html+\\s+([^\\s]+).*$', re.MULTILINE)\n docstring = p.sub(r\"<center><img src='\\1'></center><br>\", docstring)\n p = re.compile('@image\\s+latex+\\s+([^\\s]+).*$', re.MULTILINE)\n docstring = p.sub(r'', docstring)\n\n # Doxygen doesn't understand HTML character codes like ≥, so we've\n # been using doxygen's Latex facility to get special mathematical\n # characters into the documentation, but as luck would have it, Javadoc\n # doesn't understand the Latex markup. All of this is getting old.\n\n docstring = re.sub(r'\\\\f\\$\\\\geq\\\\f\\$', '≥', docstring)\n docstring = re.sub(r'\\\\f\\$\\\\leq\\\\f\\$', '≤', docstring)\n docstring = re.sub(r'\\\\f\\$\\\\times\\\\f\\$', '×', docstring)\n\n # The following are done in pairs because I couldn't come up with a\n # better way to catch the case where @c and @em end up alone at the end\n # of a line and the thing to be formatted starts on the next one after\n # the comment '*' character on the beginning of the line.\n\n docstring = re.sub('@c *([^ ,;()/*\\n\\t]+)', r'<code>\\1</code>', docstring)\n docstring = re.sub('@c(\\n[ \\t]*\\*[ \\t]*)([^ ,;()/*\\n\\t]+)', r'\\1<code>\\2</code>', docstring)\n docstring = re.sub('@p +([^ ,.:;()/*\\n\\t]+)', r'<code>\\1</code>', docstring)\n docstring = re.sub('@p(\\n[ \\t]*\\*[ \\t]+)([^ ,.:;()/*\\n\\t]+)', r'\\1<code>\\2</code>', docstring)\n docstring = re.sub('@em *([^ ,.:;()/*\\n\\t]+)', r'<em>\\1</em>', docstring)\n docstring = re.sub('@em(\\n[ \\t]*\\*[ \\t]*)([^ ,.:;()/*\\n\\t]+)', r'\\1<em>\\2</em>', docstring)\n\n # Convert @li into <li>, but also add <ul> ... </ul>. This is a bit\n # simple-minded (I suppose like most of this code), but ought to work\n # for the cases we use in practice.\n\n p = re.compile('^(\\s+\\*\\s+)(@li\\s+.*?)(\\s+)(\\*/|\\*\\s+@(?!li\\s)|\\*\\s+<p>)', re.MULTILINE|re.DOTALL)\n docstring = p.sub(rewriteList, docstring)\n\n # Wrap @deprecated content with a class so that we can style it.\n\n p = re.compile('^(\\s+\\*\\s+)(@deprecated\\s)((\\S|\\s)+)(<p>|\\*/)', re.MULTILINE|re.DOTALL)\n docstring = p.sub(rewriteDeprecated, docstring)\n\n # Doxygen automatically cross-references class names in text to the class\n # definition page, but Javadoc does not. Rather than having to put in a\n # lot conditional @if/@endif's into the documentation to manually create\n # cross-links just for the Java case, let's automate. This needs to be\n # done better (e.g., by not hard-wiring the class names).\n\n p = re.compile(r'([^a-zA-Z0-9_.\">])(' + r')\\b([^:])', re.DOTALL)\n if language == 'csharp':\n docstring = p.sub(translateClassRefCSharp, docstring)\n elif language == 'java':\n docstring = p.sub(translateClassRefJava, docstring)\n\n # Massage method cross-references.\n\n p = re.compile('(\\s+)(\\S+?)::(\\w+\\s*\\([^)]*?\\))', re.MULTILINE)\n if language == 'csharp':\n docstring = p.sub(translateCSharpCrossRef, docstring)\n elif language == 'java':\n docstring = p.sub(translateJavaCrossRef, docstring)\n\n # Clean-up step needed because some of the procedures above are imperfect.\n # This converts \" * * @foo\" lines into \" * @foo\":\n\n p = re.compile('^(\\s+)\\*\\s+\\*\\s+@', re.MULTILINE)\n docstring = p.sub(r'\\1* @', docstring)\n\n # Take out any left-over Doxygen-style quotes, because Javadoc doesn't have\n # the %foo quoting mechanism.\n\n docstring = re.sub('(\\s)%(\\w)', r'\\1\\2', docstring)\n\n # Currently, we don't handle @ingroup.\n\n docstring = re.sub('@ingroup \\w+', '', docstring)\n\n return docstring","def dummy(doc):\r\n return doc","def test_missing_docstring(a, b): # noqa: D213, D407","def rewriteDocstringForPerl (docstring):\n\n # Get rid of the /** ... */ and leading *'s.\n docstring = docstring.replace('/**', '').replace('*/', '').replace('*', ' ')\n\n # Get rid of indentation\n p = re.compile('^\\s+(\\S*\\s*)', re.MULTILINE)\n docstring = p.sub(r'\\1', docstring)\n\n # Get rid of paragraph indentation not caught by the code above.\n p = re.compile('^[ \\t]+(\\S)', re.MULTILINE)\n docstring = p.sub(r'\\1', docstring)\n\n # Get rid of blank lines.\n p = re.compile('^[ \\t]+$', re.MULTILINE)\n docstring = p.sub(r'', docstring)\n\n # Get rid of the %foo quoting.\n docstring = re.sub('(\\s)%(\\w)', r'\\1\\2', docstring)\n\n # The following are done in pairs because I couldn't come up with a\n # better way to catch the case where @c and @em end up alone at the end\n # of a line and the thing to be formatted starts on the next one after\n # the comment '*' character on the beginning of the line.\n\n docstring = re.sub('@c *([^ ,.:;()/*\\n\\t]+)', r'C<\\1>', docstring)\n docstring = re.sub('@c(\\n[ \\t]*\\*[ \\t]*)([^ ,.:;()/*\\n\\t]+)', r'\\1C<\\2>', docstring)\n docstring = re.sub('@p +([^ ,.:;()/*\\n\\t]+)', r'C<\\1>', docstring)\n docstring = re.sub('@p(\\n[ \\t]*\\*[ \\t]+)([^ ,.:;()/*\\n\\t]+)', r'\\1C<\\2>', docstring)\n docstring = re.sub('@em *([^ ,.:;()/*\\n\\t]+)', r'I<\\1>', docstring)\n docstring = re.sub('@em(\\n[ \\t]*\\*[ \\t]*)([^ ,.:;()/*\\n\\t]+)', r'\\1I<\\2>', docstring)\n\n docstring = docstring.replace('<ul>', '\\n=over\\n')\n docstring = docstring.replace('<li> ', '\\n=item\\n\\n')\n docstring = docstring.replace('</ul>', '\\n=back\\n')\n\n docstring = docstring.replace('@return', 'Returns')\n docstring = docstring.replace(' < ', ' E<lt> ').replace(' > ', ' E<gt> ')\n docstring = re.sub('<code>([^<]*)</code>', r'C<\\1>', docstring)\n docstring = re.sub('<b>([^<]*)</b>', r'B<\\1>', docstring) \n\n return docstring","def docstrings(param1, param2):\n return \"example string\"","def load_pydoc(finder, module):\n module.IgnoreName(\"Tkinter\")","def _add_doc(func, doc):\r\n func.__doc__ = doc","def _add_doc(func, doc):\r\n func.__doc__ = doc","def _add_doc(func, doc):\r\n func.__doc__ = doc","def clean_doc(doc):\r\n # Replace regular enter (i.e. mere comment formatting in cpp file)\r\n # with space\r\n doc = doc.replace(\"\\n\", \" \")\r\n\r\n # The removal can cause a \"hard enter\" (literal \\n) to get an unintended\r\n # trailing space - trim those.\r\n doc = doc.replace(\"\\\\n \", \"\\\\n\")\r\n return '\"%s\"' % doc","def rewriteDocstringForCSharp (docstring):\n\n # Preliminary: rewrite some of the data type references to equivalent\n # C# types. (Note: this rewriting affects only the documentation\n # comments inside classes & methods, not the actual method signatures.)\n\n docstring = docstring.replace(r'const char *', 'string ')\n docstring = docstring.replace(r'const char* ', 'string ')\n docstring = docstring.replace(r'an unsigned int', 'a long integer')\n docstring = docstring.replace(r'unsigned int', 'long')\n docstring = docstring.replace(r'const std::string&', 'string')\n docstring = docstring.replace(r'const std::string &', 'string ')\n docstring = docstring.replace(r'const std::string', 'string')\n docstring = docstring.replace(r'std::string', 'string')\n docstring = docstring.replace(r'const ', '')\n docstring = docstring.replace(r'NULL', 'null')\n docstring = docstring.replace(r'boolean', 'bool')\n\n # Use C# syntax instead of \"const XMLNode*\" etc.\n\n p = re.compile(r'const (%?)(' + r')( ?)(\\*|&)', re.DOTALL)\n docstring = p.sub(rewriteClassRefAddingSpace, docstring) \n p = re.compile(r'(%?)(' + r')( ?)(\\*|&)', re.DOTALL)\n docstring = p.sub(rewriteClassRefAddingSpace, docstring) \n\n # <code> has its own special meaning in C#; we have to turn our input\n # file's uses of <code> into <c>. Conversely, we have to turn our\n # uses of verbatim to <code>.\n\n p = re.compile(r'<code>(.+?)</code>', re.DOTALL)\n docstring = p.sub(r'<c>\\1</c>', docstring)\n p = re.compile('@verbatim(.+?)@endverbatim', re.DOTALL)\n docstring = p.sub(r'<code>\\1</code>', docstring)\n\n # Do replacements on some documentation text we sometimes use.\n\n p = re.compile(r'antimonyConstants([@.])')\n docstring = p.sub(r'antimonycs.antimony\\1', docstring)\n\n # Fix @link for constants that we forgot conditionalize in the source.\n\n p = re.compile(r'@link +([A-Z_0-9]+?)@endlink', re.DOTALL)\n docstring = p.sub(r'@link antimony.\\1@endlink', docstring)\n\n # Can't use math symbols. Kluge around it.\n\n docstring = re.sub(r'\\\\f\\$\\\\geq\\\\f\\$', '>=', docstring)\n docstring = re.sub(r'\\\\f\\$\\\\leq\\\\f\\$', '<=', docstring)\n docstring = re.sub(r'\\\\f\\$\\\\times\\\\f\\$', '*', docstring)\n\n # Some additional special cases.\n\n docstring = docstring.replace(r'SBML_formulaToString()', 'antimonycs.antimony.formulaToString()')\n docstring = docstring.replace(r'SBML_parseFormula()', 'antimonycs.antimony.parseFormula()')\n\n # Need to escape the quotation marks:\n\n docstring = docstring.replace('\"', \"'\")\n docstring = docstring.replace(r\"'\", r\"\\'\") \n\n return docstring","def _add_doc(func, doc):\n func.__doc__ = doc","def undocumented(func):\n func._undocumented_ = True\n return func","def docstring(self, docstring): # type: (str) -> None\n self._tmp_docstring = inspect.cleandoc(docstring)","def extract_docstring(loaded):\n\n source = loaded['cells'][0]['source']\n\n assert source[0].strip() == '\"\"\"'\n assert source[-1].strip() == '\"\"\"'\n\n return ' '.join(i.strip() for i in source[1:-1])","def __doc__(self, ???):","def func_doc():","def collect_docstring(lines):\n lines = dropwhile(lambda x: not x.startswith('\"\"\"'), lines)\n doc = \"\"\n for line in lines:\n doc += line\n if doc.endswith('\"\"\"\\n'):\n break\n\n return doc[3:-4].replace(\"\\r\", \"\").replace(\"\\n\", \" \")","def old_function_with_docstring(x, y):\n return x + y","def clean_docs(c):\n c.run(f\"rm -fr {DOCS_BUILD_DIR}\")","def convert_doxygen_docstring(lines, name):\n\n lines = lines[:]\n newlines = []\n indent = 0\n reading_desc = False\n\n while lines:\n line = lines.pop(0)\n if line.startswith(\"////\"):\n continue\n\n line = line.rstrip()\n if line.startswith('///<'):\n strline = line[4:]\n else:\n strline = line\n\n strline = strline.lstrip('/ \\t')\n\n if strline == \"**\" or strline == \"*/\":\n continue\n\n if strline.startswith(\"** \"):\n strline = strline[3:]\n elif strline.startswith(\"* \"):\n strline = strline[2:]\n elif strline == \"*\":\n strline = \"\"\n\n strline = strline.lstrip(' \\t')\n\n if strline.startswith('@'):\n special = strline.split(' ', 1)[0][1:]\n if special == 'par' and strline.endswith(':') and lines and '@code' in lines[0]:\n newlines.append(' '*indent + strline[5:] + ':')\n newlines.append('')\n line = lines.pop(0)\n offset = line.index('@code')\n while lines:\n line = lines.pop(0)\n if '@endverbatim' in line or '@endcode' in line:\n break\n newlines.append(' ' + line[offset:])\n\n newlines.append('')\n continue\n elif special == \"verbatim\" or special == \"code\":\n if newlines and newlines[-1]:\n newlines.append('')\n\n newlines.append('.. code-block:: guess')\n newlines.append('')\n offset = line.index('@' + special)\n while lines:\n line = lines.pop(0)\n if '@endverbatim' in line or '@endcode' in line:\n break\n newlines.append(' ' + line[offset:])\n\n newlines.append('')\n continue\n elif special == \"f[\":\n if newlines and newlines[-1]:\n newlines.append('')\n\n newlines.append('.. math::')\n newlines.append('')\n offset = line.index('@' + special)\n while lines:\n line = lines.pop(0)\n if '@f]' in line:\n break\n newlines.append(' ' + line[offset:])\n\n newlines.append('')\n continue\n elif special == 'param':\n #TODO\n #if extra is not None:\n # _, name, desc = strline.split(' ', 2)\n # extra['param:' + name] = desc\n continue\n elif special == 'deprecated':\n if newlines and newlines[-1]:\n newlines.append('')\n\n _, value = strline.split(' ', 1)\n\n # I'd love to use the proper Sphinx deprecated tag, but it\n # requires a version number, whereas Doxygen doesn't.\n newlines.append('*Deprecated:* ' + convert_doxygen_format(value, name))\n newlines.append('')\n continue\n elif special in ('brief', 'return', 'returns'):\n #TODO\n #if extra is not None:\n # _, value = strline.split(' ', 1)\n # extra[special] = value\n continue\n elif special == 'details':\n strline = strline[9:]\n elif special == 'sa' or special == 'see':\n if newlines and newlines[-1]:\n newlines.append('')\n\n _, value = strline.split(' ', 1)\n values = value.split(',')\n\n for i, value in enumerate(values):\n result = resolve_reference(value.partition('(')[0], name)\n if result:\n values[i] = ':{0}:`{1}`'.format(*result)\n else:\n values[i] = ':obj:`{0}`'.format(value)\n\n if special == 'see':\n newlines.append('See {}.'.format(', '.join(values)))\n else:\n newlines.append('See also {}.'.format(', '.join(values)))\n newlines.append('')\n continue\n elif special in ('note', 'warning'):\n if newlines and newlines[-1]:\n newlines.append('')\n\n newlines.append('.. %s:: ' % (special))\n newlines.append('')\n newlines.append(' ' + convert_doxygen_format(strline[2 + len(special):], name))\n while lines and lines[0].strip(' *\\t/'):\n line = lines.pop(0).lstrip(' *\\t')\n newlines.append(' ' + convert_doxygen_format(line, name))\n\n newlines.append('')\n continue\n elif special == 'since':\n if newlines and newlines[-1]:\n newlines.append('')\n\n newlines.append('.. versionadded:: ' + strline[7:])\n newlines.append('')\n continue\n else:\n print(\"Unhandled documentation tag: @\" + special)\n\n if strline or len(newlines) > 0:\n newlines.append(' '*indent + convert_doxygen_format(strline, name))\n\n return newlines","def __init__ (self, docstring, name, isInternal):\n\n # Take out excess leading blank lines.\n docstring = re.sub('/\\*\\*(\\s+\\*)+', r'/** \\n *', docstring)\n\n self.docstring = docstring\n self.name = name\n self.isInternal = isInternal","def docstring(\n docstring: str = None, *, pre: str = None, post: str = None\n) -> Callable[[U], U]:\n\n def edit_docstring(obj: U) -> U:\n obj.__doc__ = \"\".join(\n (\n clean_docstring(pre or \"\", unused=\"pre\"),\n clean_docstring(docstring or (obj.__doc__ or \"\")),\n clean_docstring(post or \"\", unused=\"post\"),\n )\n )\n return obj\n\n return edit_docstring","def doc_summary(lines):\n summary = []\n for line in lines:\n stripped = line.strip().lower()\n if (stripped.startswith('to use this normalizer') or\n stripped.startswith('use ``method')):\n continue\n if (line.startswith('Parameters') or line.startswith('Example')\n or line.startswith('.. note::')):\n break\n summary.append(line)\n return summary","def docstring(func):\n try:\n lines = func.__doc__.strip().split(\"\\n\")\n return [line.strip() for line in lines]\n except AttributeError:\n return None","def test_doc():\n pass","def inherits_doc():\n pass","def test_user_func_docstrings(self):\n for func in self.user_f:\n self.assertIsNot(func[1].__doc__, None,\n \"{:s} method needs a docstring\".format(func[0]))\n self.assertTrue(len(func[1].__doc__) >= 1,\n \"{:s} method needs a docstring\".format(func[0]))","def get_main_help(self):\r\n return __doc__.strip()","def test_user_func_docstrings(self):\n for func in self.student_f:\n self.assertIsNot(func[1].__doc__, None,\n \"{:s} method needs a docstring\".format(func[0]))\n self.assertTrue(len(func[1].__doc__) >= 1,\n \"{:s} method needs a docstring\".format(func[0]))","def doc_apply(doc):\n\n def wrapper(func):\n func.__doc__ = doc\n return func\n\n return wrapper","async def remove_doc(self, *args, **kwargs):\n pass","def __init__ (self, isInternal, docstring, name, args, isConst):\n\n self.name = name\n self.isConst = isConst\n self.isInternal = isInternal\n\n if isInternal:\n if language == 'java':\n # We have a special Javadoc doclet that understands a non-standard\n # Javadoc tag, @internal. When present in the documentation string\n # of a method, it causes it to be excluded from the final\n # documentation output. @internal is something doxygen offers.\n #\n p = re.compile('(\\s+?)\\*/', re.MULTILINE)\n self.docstring = p.sub(r'\\1* @internal\\1*/', docstring)\n elif language == 'csharp':\n # We mark internal methods in a different way for C#.\n self.docstring = docstring\n else:\n self.docstring = \" @internal\\n\" + docstring\n else:\n self.docstring = docstring\n\n # In Java and C#, if a method is const and swig has to translate the type,\n # then for some reason swig cannot match up the resulting doc strings\n # that we put into %javamethodmodifiers. The result is that the java\n # documentation for the methods are empty. I can't figure out why, but\n # have figured out that if we omit the argument list in the doc string\n # that is put on %javamethodmodifiers for such case, swig does generate \n # the comments for those methods. This approach is potentially dangerous\n # because swig might attach the doc string to the wrong method if a\n # methods has multiple versions with varying argument types, but the\n # combination doesn't seem to arise in antimony currently, and anyway,\n # this fixes a real problem in the Java documentation for antimony.\n\n if language == 'java' or language == 'csharp':\n if isConst and (args.find('unsigned int') >= 0):\n self.args = ''\n elif not args.strip() == '()':\n if isConst:\n self.args = args + ' const'\n else:\n self.args = args\n else:\n if isConst:\n self.args = '() const'\n else:\n self.args = ''\n else:\n self.args = args","def pydocstyle(context):\n exec_cmd = \"pydocstyle .\"\n run_cmd(context, exec_cmd)","def getdoc(object):\r\n try:\r\n doc = object.__doc__\r\n except AttributeError:\r\n return None\r\n if not isinstance(doc, types.StringTypes):\r\n return None\r\n return cleandoc(doc)","def task_pydocstyle():\n yield {\n 'name': os.path.join(os.getcwd(), 'nikola'),\n 'actions': [\"pydocstyle --count --match-dir='(?!^\\\\.)(?!data).*' nikola/\"],\n }","def shortDescription(self):\n # Suppress default logging of docstrings.\n return None","def inheritdocstrings(cls):\n for name, func in vars(cls).items():\n if isinstance(func, types.FunctionType) and not func.__doc__:\n for parent in cls.__bases__:\n parfunc = getattr(parent, name, None)\n if parfunc and getattr(parfunc, '__doc__', None):\n func.__doc__ = parfunc.__doc__\n break\n return cls","def rewriteDocstringForPython (docstring):\n\n # Take out the C++ comment start and end.\n\n docstring = docstring.replace('/**', '').replace('*/', '')\n p = re.compile('^(\\s*)\\*([ \\t]*)', re.MULTILINE)\n docstring = p.sub(r'\\2', docstring)\n\n # Rewrite some of the data type references to equivalent Python types.\n # (Note: this rewriting affects only the documentation comments inside\n # classes & methods, not the method signatures.)\n\n docstring = docstring.replace(r'const char *', 'string ')\n docstring = docstring.replace(r'const char* ', 'string ')\n docstring = docstring.replace(r'an unsigned int', 'a long integer')\n docstring = docstring.replace(r'unsigned int', 'long')\n docstring = docstring.replace(r'const std::string&', 'string')\n docstring = docstring.replace(r'const std::string', 'string')\n docstring = docstring.replace(r'std::string', 'string')\n docstring = docstring.replace(r'NULL', 'None')\n docstring = docstring.replace(r'@c true', '@c True')\n docstring = docstring.replace(r'@c false', '@c False')\n\n # Also use Python syntax instead of \"const XMLNode*\" etc.\n\n p = re.compile(r'const (%?)(' + r') ?(\\*|&)', re.DOTALL)\n docstring = p.sub(rewriteClassRef, docstring) \n p = re.compile(r'(%?)(' + r') ?(\\*|&)', re.DOTALL)\n docstring = p.sub(rewriteClassRef, docstring) \n\n # Need to escape the quotation marks:\n\n docstring = docstring.replace('\"', \"'\")\n docstring = docstring.replace(r\"'\", r\"\\'\")\n\n # Python method cross-references won't be made by doxygen unless\n # the method reference is written without arguments.\n\n p = re.compile('(\\s+)(\\S+?)::(\\w+\\s*)(\\([^)]*?\\))', re.MULTILINE)\n docstring = p.sub(translatePythonCrossRef, docstring)\n p = re.compile('(@see\\s+)(\\w+\\s*)(\\([^)]*?\\))')\n docstring = p.sub(translatePythonSeeRef, docstring)\n\n # Friggin' doxygen escapes HTML character codes, so the hack we have to\n # do for Javadoc turns out doesn't work for the Python documentation.\n # Kluge around it.\n\n docstring = re.sub(r'\\\\f\\$\\\\geq\\\\f\\$', '>=', docstring)\n docstring = re.sub(r'\\\\f\\$\\\\leq\\\\f\\$', '<=', docstring)\n docstring = re.sub(r'\\\\f\\$\\\\times\\\\f\\$', '*', docstring)\n\n # SWIG does some bizarre truncation of leading characters that\n # happens to hit us because of how we have to format verbatim's.\n # This tries to kluge around it: \n p = re.compile('@verbatim.+?@endverbatim', re.DOTALL)\n docstring = p.sub(indentVerbatimForPython, docstring)\n\n return docstring","def trim(docstring):\n if not docstring:\n return ''\n # Convert tabs to spaces (following the normal Python rules)\n # and split into a list of lines:\n lines = six.u(docstring).expandtabs().splitlines()\n lines = [line.strip() for line in lines]\n res = six.u('\\n').join(lines)\n return res","def test_0_check_xc_docstring(self):\n self.banner(\"Checking the docstring on your extra credit.\") \n filename = self.find_file('project9_xc.py')\n self.check_docstring(filename)","def _remove_doc(xml_str):\n result = []\n do_add = True\n for line in xml_str.splitlines():\n if '<doc:doc>' in line:\n do_add = False\n if do_add:\n result.append(line)\n if '</doc:doc>' in line:\n do_add = True\n return '\\n'.join(result)","def pythondoc(self, irc, msg, args, num, req):\n self.googleq('http://docs.python.org/library/', req, num, irc)","def test_student_module_docstring(self):\n self.assertIsNot(student.__doc__, None,\n \"student.py needs a docstring\")\n self.assertTrue(len(student.__doc__) >= 1,\n \"student.py needs a docstring\")","def copy_docstring(other):\n\n def wrapper(func):\n func.__doc__ = other.__doc__\n return func\n\n return wrapper","def _clean_doc(doc: Dict) -> Dict:\n doc['label'] = doc['labels'][config.LANG]['value']\n aliases = doc['aliases'][config.LANG] if config.LANG in doc['aliases'] else []\n\n doc['aliases'] = [alias['value'] for alias in aliases]\n\n for key in DOC_CLEAN_KEYS:\n try:\n del doc[key]\n except:\n continue\n return doc","def test_docstring(self):\n self.assertIsNotNone(Review.__doc__)\n self.assertIsNotNone(Review.text.__doc__)","def remove_stopwords_fun(self):\n tokens = str(self.doc).split()\n cleaned_tokens = [token for token in tokens\n if token.lower() not in self.stopword_list]\n self.doc = ' '.join(cleaned_tokens)","def filter_doc(doc_text):\n # remove stars\n filter_regex=re.compile(r\"[_*]\")\n doc=filter_regex.sub(\"\",doc_text)\n # substitute quotation marks\n double_quot_regex=re.compile(r\"[“”]\")\n single_quot_regex=re.compile(r\"[’‘]\")\n doc=double_quot_regex.sub('\"',doc)\n doc=single_quot_regex.sub(\"'\",doc)\n # substitute new lines inside the text for spaces\n # these new lines are usually caused by formatting texts to fit in 80 columns \n newline_quot_regex=re.compile(r\"(\\S)\\n(\\S)\")\n doc=newline_quot_regex.sub(r\"\\1 \\2\",doc)\n # remove illustration tag\n #illustration_regex=re.compile(r\"\\[Illustration.*]\")\n #doc=illustration_regex.sub(\"\",doc)\n return doc","def docs():","def clean_code(ls):\r\n ls = remove_white_space(ls)\r\n ls = remove_comments(ls)\r\n ls = remove_empty_lines(ls)\r\n\r\n return ls","def improve_class_docstring(app, cls, lines):\n if issubclass(cls, models.Model):\n improve_model_docstring(app, cls, lines)\n elif issubclass(cls, forms.BaseForm):\n improve_form_docstring(cls, lines)","def cleanup_code( content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def test_fs_func_docstrings(self):\n for func in self.fs_f:\n self.assertIsNot(func[1].__doc__, None,\n \"{:s} method needs a docstring\".format(func[0]))\n self.assertTrue(len(func[1].__doc__) >= 1,\n \"{:s} method needs a docstring\".format(func[0]))","def wrapper(func):\n docstring = func.__doc__\n helpdict = parse_docstring(\n docstring, key_symbol=key_symbol,\n description_symbol=description_symbol)\n func.helpdict = helpdict\n # remove markers\n docstring = docstring.replace(key_symbol, '')\n func.__doc__ = docstring.replace(description_symbol, '')\n return func","def test_docstring(self):\n self.assertIsNotNone(Review.__doc__)","def strip_doc_string(proto: google.protobuf.message.Message) -> None:\n if not isinstance(proto, google.protobuf.message.Message):\n raise TypeError(\n f\"proto must be an instance of {google.protobuf.message.Message}.\"\n )\n for descriptor in proto.DESCRIPTOR.fields:\n if descriptor.name == \"doc_string\":\n proto.ClearField(descriptor.name)\n elif descriptor.type == descriptor.TYPE_MESSAGE:\n if descriptor.label == descriptor.LABEL_REPEATED:\n for x in getattr(proto, descriptor.name):\n strip_doc_string(x)\n elif proto.HasField(descriptor.name):\n strip_doc_string(getattr(proto, descriptor.name))","def strip_docstrings(tokens):\n stack = []\n state = 'wait_string'\n for t in tokens:\n typ = t[0]\n if state == 'wait_string':\n if typ in (tokenize.NL, tokenize.COMMENT):\n yield t\n elif typ in (tokenize.DEDENT, tokenize.INDENT, tokenize.STRING):\n stack.append(t)\n elif typ == tokenize.NEWLINE:\n stack.append(t)\n start_line, end_line = stack[0][2][0], stack[-1][3][0]+1\n for i in range(start_line, end_line):\n yield tokenize.NL, '\\n', (i, 0), (i,1), '\\n'\n for t in stack:\n if t[0] in (tokenize.DEDENT, tokenize.INDENT):\n yield t[0], t[1], (i+1, t[2][1]), (i+1, t[3][1]), t[4]\n del stack[:]\n else:\n stack.append(t)\n for t in stack: yield t\n del stack[:]\n state = 'wait_newline'\n elif state == 'wait_newline':\n if typ == tokenize.NEWLINE:\n state = 'wait_string'\n yield t","def cleanup_code(content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n # remove `foo`\n return content.strip('` \\n')","def update_docstring(instance):\n try:\n docstring = instance.api_map['doc']\n except (KeyError, TypeError):\n docstring = 'No docstring provided.'\n\n instance.__class__.__doc__ = docstring\n instance.__class__.__call__.__signature__ = construct_signature(instance)\n\n return docstring","def main():\n system('cls||clear')\n\n #Print a docstring.\n print (main.__doc__)","def def_textface_doctests():","def test_dbs_func_docstrings(self):\n for func in self.dbs_f:\n self.assertIsNot(func[1].__doc__, None,\n \"{:s} method needs a docstring\".format(func[0]))\n self.assertTrue(len(func[1].__doc__) >= 1,\n \"{:s} method needs a docstring\".format(func[0]))","def test_dbs_func_docstrings(self):\n for func in self.dbs_f:\n self.assertIsNot(func[1].__doc__, None,\n \"{:s} method needs a docstring\".format(func[0]))\n self.assertTrue(len(func[1].__doc__) >= 1,\n \"{:s} method needs a docstring\".format(func[0]))","def init_doc(self):\n raise NotImplementedError()","def minimize_source(source):\n if not isinstance(source, mitogen.core.UnicodeType):\n source = source.decode('utf-8')\n tokens = tokenize.generate_tokens(StringIO(source).readline)\n tokens = strip_comments(tokens)\n tokens = strip_docstrings(tokens)\n tokens = reindent(tokens)\n return tokenize.untokenize(tokens)","def strip_params_from_docstring(docstring):\n split_lines = trim_docstring(docstring).split('\\n')\n\n cut_off = None\n for index, line in enumerate(split_lines):\n line = line.strip()\n if PARAMS_PATTERN.search(line):\n cut_off = index\n break\n if cut_off is not None:\n split_lines = split_lines[0:cut_off]\n\n return \"\\n\".join(split_lines)","def trim_docstring(docstring):\r\n lines = docstring.expandtabs().splitlines()\r\n\r\n # Find minimum indentation of any non-blank lines after first line.\r\n from sys import maxint\r\n margin = maxint\r\n for line in lines[1:]:\r\n content = len(line.lstrip())\r\n if content:\r\n indent = len(line) - content\r\n margin = min(margin, indent)\r\n\r\n # Remove indentation.\r\n if lines:\r\n lines[0] = lines[0].lstrip()\r\n if margin < maxint:\r\n for i in range(1, len(lines)):\r\n lines[i] = lines[i][margin:]\r\n\r\n # Remove any trailing or leading blank lines.\r\n while lines and not lines[-1]:\r\n lines.pop()\r\n while lines and not lines[0]:\r\n lines.pop(0)\r\n return '\\n'.join(lines)","def short_doc(obj):\n if obj.__doc__:\n lines = obj.__doc__.strip(' \\n').splitlines()\n if lines:\n return lines[0]\n return None","def test_all_docstrings():\n functions = inspect.getmembers(s7, inspect.isfunction)\n for func in functions:\n docstring = func[1].__doc__\n assert docstring, \"Wooaaahhh !! You have not written docstring for {}\".format(func[1].__str__())","def consistent_documentation():\n\n return 3","def cleanup_code(content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def docstring(func: Callable) -> list[str] | None:\n try:\n lines = func.__doc__.strip().split(\"\\n\") # type: ignore\n return [line.strip() for line in lines]\n except AttributeError:\n return None","def test__get_doc():\n docstring = util._get_doc(\"midgard\")\n assert isinstance(docstring, str) and len(docstring) > 0","def test_docstring(self):\n self.assertIsNotNone(Base.__doc__)","def guess(cls, docstring):","def getdoc(obj):\n try:\n doc = obj.__doc__\n except AttributeError:\n return None\n if not isinstance(doc, str):\n return None\n return inspect.cleandoc(doc)","def parse_help(func):\n # Grab the raw doc\n doc = func.__doc__\n\n # Check for non-existent documentation and return a 404 message of sorts\n if not doc:\n return 'Woops, there isn\\'t any documentation for this command!'\n\n # Strip away extra newlines\n doc = doc.strip()\n # Split on (and remove) the newlines\n doc = doc.split('\\n')\n # Clean out the leading space on each line, merge the lines, and return\n return ' '.join(L.strip() for L in doc)","def public_fn_with_googley_docstring(self, name, another, state=None):\n return 0","def remove_code_annotations(line_to_transform):\n line_to_transform = str(line_to_transform)\n line_to_transform = line_to_transform.split(' #', 1)[0]\n line_to_transform = line_to_transform.replace(':', '')\n line_to_transform = line_to_transform.replace('\\t', '')\n line_to_transform = line_to_transform.replace(' ', '')\n line_to_transform = line_to_transform.replace('\\n', '')\n line_to_transform = line_to_transform.replace('elif ', '')\n line_to_transform = line_to_transform.replace('if ', '')\n line_to_transform = line_to_transform.replace('else ', '')\n line_to_transform = line_to_transform.replace('else', '')\n line_to_transform = line_to_transform.replace('def ', '')\n line_to_transform = line_to_transform.replace('for ', '')\n line_to_transform = line_to_transform.replace('while ', '')\n return line_to_transform","def __init__(self):\n super(MethodInfo, self).__init__()\n self.DocString = None","def strip_yaml_from_docstring(docstring):\n split_lines = trim_docstring(docstring).split('\\n')\n\n cut_off = None\n for index in range(len(split_lines) - 1, -1, -1):\n line = split_lines[index]\n line = line.strip()\n if line == '---':\n cut_off = index\n break\n if cut_off is not None:\n split_lines = split_lines[0:cut_off]\n\n return \"\\n\".join(split_lines)","def _docs_params(**kwds):\n\n def dec(obj):\n obj.__orig_doc__ = obj.__doc__\n obj.__doc__ = dedent(obj.__doc__).format_map(kwds)\n return obj\n\n return dec","def doc_sub(*sub):\n def dec(obj):\n obj.__doc__ = obj.__doc__.format(*sub)\n return obj\n return dec","def test_doc_fun(self):\n for fun in self.functions:\n self.assertTrue(len(fun.__doc__) > 0)","def md_docstring(docstring):\n content = []\n lines = textwrap.dedent(docstring).splitlines()\n content.append(md_escape(lines[0]))\n lines = lines[1:]\n while lines and (not lines[0] or lines[0].isspace()):\n lines = lines[1:]\n\n if not all(l.isspace() for l in lines):\n content.append(md_code('\\n'.join(lines), language=None))\n content.append('')\n return content","def cleanup_code(self, content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def triple_quote_docs():\n return","def parse_docs(docs):\n if not docs:\n return __name__, \"<no documentation>\"\n docs = docs.strip().split('\\n')\n for i, line in enumerate(docs):\n docs[i] = line.strip()\n return docs[0], ' '.join(docs[1:]) if len(docs[1:]) else \"<no documentation>\"","def _removeComments(code):\r\n # remove all occurance streamed comments (/*COMMENT */) from string\r\n text = re.sub(re.compile('/\\*.*?\\*/', re.DOTALL), '', code)\r\n # remove all occurance singleline comments (//COMMENT\\n ) from string\r\n return re.sub(re.compile('//.*?\\n'), '', text)"],"string":"[\n \"def docstring_hack():\\n pass\",\n \"def main_docstring():\",\n \"def undoc(func):\\n return func\",\n \"def remove_comments_and_docstrings(source):\\n io_obj = StringIO(source)\\n out = \\\"\\\"\\n prev_toktype = tokenize.INDENT\\n last_lineno = -1\\n last_col = 0\\n for tok in tokenize.generate_tokens(io_obj.readline):\\n token_type = tok[0]\\n token_string = tok[1]\\n start_line, start_col = tok[2]\\n end_line, end_col = tok[3]\\n ltext = tok[4]\\n # The following two conditionals preserve indentation.\\n # This is necessary because we're not using tokenize.untokenize()\\n # (because it spits out code with copious amounts of oddly-placed\\n # whitespace).\\n if start_line > last_lineno:\\n last_col = 0\\n if start_col > last_col:\\n out += (\\\" \\\" * (start_col - last_col))\\n # Remove comments:\\n if token_type == tokenize.COMMENT:\\n pass\\n # This series of conditionals removes docstrings:\\n elif token_type == tokenize.STRING:\\n if prev_toktype != tokenize.INDENT:\\n # This is likely a docstring; double-check we're not inside an operator:\\n if prev_toktype != tokenize.NEWLINE:\\n # Note regarding NEWLINE vs NL: The tokenize module\\n # differentiates between newlines that start a new statement\\n # and newlines inside of operators such as parens, brackes,\\n # and curly braces. Newlines inside of operators are\\n # NEWLINE and newlines that start new code are NL.\\n # Catch whole-module docstrings:\\n if start_col > 0:\\n # Unlabelled indentation means we're inside an operator\\n out += token_string\\n # Note regarding the INDENT token: The tokenize module does\\n # not label indentation inside of an operator (parens,\\n # brackets, and curly braces) as actual indentation.\\n # For example:\\n # def foo():\\n # \\\"The spaces before this docstring are tokenize.INDENT\\\"\\n # test = [\\n # \\\"The spaces before this string do not get a token\\\"\\n # ]\\n\\n else:\\n out += token_string\\n prev_toktype = token_type\\n last_col = end_col\\n last_lineno = end_line\\n out = '\\\\n'.join([line for line in out.splitlines() if line.strip()])\\n return out\",\n \"def clean_docstring(doc: str, unused: Literal[\\\"pre\\\", \\\"post\\\"] = None) -> str:\\n doc = doc.split(\\\"\\\\n\\\")\\n if unused == \\\"pre\\\":\\n try:\\n index = next(i for i, l in enumerate(doc) if l.strip())\\n doc = doc[index:]\\n except StopIteration:\\n doc = []\\n elif unused == \\\"post\\\":\\n try:\\n index = next(i for i, l in enumerate(reversed(doc)) if l.strip())\\n doc = doc[: len(doc) - index]\\n except StopIteration:\\n doc = []\\n if doc:\\n first_line = doc[0]\\n index = len(first_line) - len(first_line.lstrip())\\n indent = first_line[:index]\\n if all(l.startswith(indent) for l in doc if l.strip()):\\n doc = [(l[index:] if l.strip() else l) for l in doc]\\n return \\\"\\\\n\\\".join(doc)\",\n \"def doc_string():\\n pass # pass does nothing\",\n \"def DocString():\\n return\",\n \"def empty_fn_docstr_pass():\\n pass\",\n \"def documentation_only():\\n pass\",\n \"def empty_fn_docstr():\",\n \"def sanitizeForHTML (docstring):\\n\\n # Remove @~, which we use as a hack in Doxygen 1.7-1.8\\n\\n docstring = docstring.replace(r'@~', '')\\n\\n # First do conditional section inclusion based on the current language.\\n # Our possible conditional elements and their meanings are:\\n #\\n # java: only Java\\n # python: only Python\\n # perl: only Perl\\n # cpp: only C++\\n # csharp: only C#\\n # conly: only C\\n # clike: C, C++\\n # notcpp:\\tnot C++\\n # notclike: not C or C++\\n #\\n # The notcpp/notclike variants are because Doxygen 1.6.x doesn't have\\n # @ifnot, yet sometimes we want to say \\\"if not C or C++\\\".\\n\\n cases = 'java|python|perl|cpp|csharp|conly|clike|notcpp|notclike'\\n p = re.compile('@if\\\\s+(' + cases + ')\\\\s+(.+?)((@else)\\\\s+(.+?))?@endif', re.DOTALL)\\n docstring = p.sub(translateIfElse, docstring)\\n\\n # Replace blank lines between paragraphs with <p>. There are two main\\n # cases: comments blocks whose lines always begin with an asterix (e.g.,\\n # C/C++), and comment blocks where they don't (e.g., Python). The third\\n # substitution below does the same thing for blank lines, except for the\\n # very end of the doc string.\\n\\n p = re.compile('^(\\\\s+)\\\\*\\\\s*$', re.MULTILINE)\\n docstring = p.sub(r'\\\\1* <p>', docstring)\\n p = re.compile('^((?!\\\\s+\\\\Z)\\\\s+)$', re.MULTILINE)\\n docstring = p.sub(r'\\\\1<p>', docstring)\\n p = re.compile('^(?!\\\\Z)$', re.MULTILINE)\\n docstring = p.sub(r'<p>', docstring)\\n\\n # Javadoc doesn't have an @htmlinclude command, so we process the file\\n # inclusion directly here.\\n\\n p = re.compile('@htmlinclude\\\\s+([^\\\\s:;,(){}+|?\\\"\\\\'/]+)([\\\\s:;,(){}+|?\\\"\\\\'/])', re.MULTILINE)\\n docstring = p.sub(translateInclude, docstring)\\n\\n # There's no Javadoc verbatim or @code/@endcode equivalent, so we have to\\n # convert it to raw HTML and transform the content too. This requires\\n # helpers. The following treats both @verbatim and @code the same way.\\n\\n p = re.compile('@verbatim.+?@endverbatim', re.DOTALL)\\n docstring = p.sub(translateVerbatim, docstring)\\n p = re.compile('@code.+?@endcode', re.DOTALL)\\n docstring = p.sub(translateVerbatim, docstring)\\n\\n # Javadoc doesn't have a @section or @subsection commands, so we translate\\n # those ourselves.\\n\\n p = re.compile('@section\\\\s+[^\\\\s]+\\\\s+(.*)$', re.MULTILINE)\\n docstring = p.sub(r'<h2>\\\\1</h2>', docstring)\\n p = re.compile('@subsection\\\\s+[^\\\\s]+\\\\s+(.*)$', re.MULTILINE)\\n docstring = p.sub(r'<h3>\\\\1</h3>', docstring)\\n p = re.compile('@subsubsection\\\\s+[^\\\\s]+\\\\s+(.*)$', re.MULTILINE)\\n docstring = p.sub(r'<h4>\\\\1</h4>', docstring)\\n\\n # Javadoc doesn't have an @image command. We translate @image html\\n # but ditch @image latex.\\n\\n p = re.compile('@image\\\\s+html+\\\\s+([^\\\\s]+).*$', re.MULTILINE)\\n docstring = p.sub(r\\\"<center><img src='\\\\1'></center><br>\\\", docstring)\\n p = re.compile('@image\\\\s+latex+\\\\s+([^\\\\s]+).*$', re.MULTILINE)\\n docstring = p.sub(r'', docstring)\\n\\n # Doxygen doesn't understand HTML character codes like ≥, so we've\\n # been using doxygen's Latex facility to get special mathematical\\n # characters into the documentation, but as luck would have it, Javadoc\\n # doesn't understand the Latex markup. All of this is getting old.\\n\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\geq\\\\\\\\f\\\\$', '≥', docstring)\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\leq\\\\\\\\f\\\\$', '≤', docstring)\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\times\\\\\\\\f\\\\$', '×', docstring)\\n\\n # The following are done in pairs because I couldn't come up with a\\n # better way to catch the case where @c and @em end up alone at the end\\n # of a line and the thing to be formatted starts on the next one after\\n # the comment '*' character on the beginning of the line.\\n\\n docstring = re.sub('@c *([^ ,;()/*\\\\n\\\\t]+)', r'<code>\\\\1</code>', docstring)\\n docstring = re.sub('@c(\\\\n[ \\\\t]*\\\\*[ \\\\t]*)([^ ,;()/*\\\\n\\\\t]+)', r'\\\\1<code>\\\\2</code>', docstring)\\n docstring = re.sub('@p +([^ ,.:;()/*\\\\n\\\\t]+)', r'<code>\\\\1</code>', docstring)\\n docstring = re.sub('@p(\\\\n[ \\\\t]*\\\\*[ \\\\t]+)([^ ,.:;()/*\\\\n\\\\t]+)', r'\\\\1<code>\\\\2</code>', docstring)\\n docstring = re.sub('@em *([^ ,.:;()/*\\\\n\\\\t]+)', r'<em>\\\\1</em>', docstring)\\n docstring = re.sub('@em(\\\\n[ \\\\t]*\\\\*[ \\\\t]*)([^ ,.:;()/*\\\\n\\\\t]+)', r'\\\\1<em>\\\\2</em>', docstring)\\n\\n # Convert @li into <li>, but also add <ul> ... </ul>. This is a bit\\n # simple-minded (I suppose like most of this code), but ought to work\\n # for the cases we use in practice.\\n\\n p = re.compile('^(\\\\s+\\\\*\\\\s+)(@li\\\\s+.*?)(\\\\s+)(\\\\*/|\\\\*\\\\s+@(?!li\\\\s)|\\\\*\\\\s+<p>)', re.MULTILINE|re.DOTALL)\\n docstring = p.sub(rewriteList, docstring)\\n\\n # Wrap @deprecated content with a class so that we can style it.\\n\\n p = re.compile('^(\\\\s+\\\\*\\\\s+)(@deprecated\\\\s)((\\\\S|\\\\s)+)(<p>|\\\\*/)', re.MULTILINE|re.DOTALL)\\n docstring = p.sub(rewriteDeprecated, docstring)\\n\\n # Doxygen automatically cross-references class names in text to the class\\n # definition page, but Javadoc does not. Rather than having to put in a\\n # lot conditional @if/@endif's into the documentation to manually create\\n # cross-links just for the Java case, let's automate. This needs to be\\n # done better (e.g., by not hard-wiring the class names).\\n\\n p = re.compile(r'([^a-zA-Z0-9_.\\\">])(' + r')\\\\b([^:])', re.DOTALL)\\n if language == 'csharp':\\n docstring = p.sub(translateClassRefCSharp, docstring)\\n elif language == 'java':\\n docstring = p.sub(translateClassRefJava, docstring)\\n\\n # Massage method cross-references.\\n\\n p = re.compile('(\\\\s+)(\\\\S+?)::(\\\\w+\\\\s*\\\\([^)]*?\\\\))', re.MULTILINE)\\n if language == 'csharp':\\n docstring = p.sub(translateCSharpCrossRef, docstring)\\n elif language == 'java':\\n docstring = p.sub(translateJavaCrossRef, docstring)\\n\\n # Clean-up step needed because some of the procedures above are imperfect.\\n # This converts \\\" * * @foo\\\" lines into \\\" * @foo\\\":\\n\\n p = re.compile('^(\\\\s+)\\\\*\\\\s+\\\\*\\\\s+@', re.MULTILINE)\\n docstring = p.sub(r'\\\\1* @', docstring)\\n\\n # Take out any left-over Doxygen-style quotes, because Javadoc doesn't have\\n # the %foo quoting mechanism.\\n\\n docstring = re.sub('(\\\\s)%(\\\\w)', r'\\\\1\\\\2', docstring)\\n\\n # Currently, we don't handle @ingroup.\\n\\n docstring = re.sub('@ingroup \\\\w+', '', docstring)\\n\\n return docstring\",\n \"def dummy(doc):\\r\\n return doc\",\n \"def test_missing_docstring(a, b): # noqa: D213, D407\",\n \"def rewriteDocstringForPerl (docstring):\\n\\n # Get rid of the /** ... */ and leading *'s.\\n docstring = docstring.replace('/**', '').replace('*/', '').replace('*', ' ')\\n\\n # Get rid of indentation\\n p = re.compile('^\\\\s+(\\\\S*\\\\s*)', re.MULTILINE)\\n docstring = p.sub(r'\\\\1', docstring)\\n\\n # Get rid of paragraph indentation not caught by the code above.\\n p = re.compile('^[ \\\\t]+(\\\\S)', re.MULTILINE)\\n docstring = p.sub(r'\\\\1', docstring)\\n\\n # Get rid of blank lines.\\n p = re.compile('^[ \\\\t]+$', re.MULTILINE)\\n docstring = p.sub(r'', docstring)\\n\\n # Get rid of the %foo quoting.\\n docstring = re.sub('(\\\\s)%(\\\\w)', r'\\\\1\\\\2', docstring)\\n\\n # The following are done in pairs because I couldn't come up with a\\n # better way to catch the case where @c and @em end up alone at the end\\n # of a line and the thing to be formatted starts on the next one after\\n # the comment '*' character on the beginning of the line.\\n\\n docstring = re.sub('@c *([^ ,.:;()/*\\\\n\\\\t]+)', r'C<\\\\1>', docstring)\\n docstring = re.sub('@c(\\\\n[ \\\\t]*\\\\*[ \\\\t]*)([^ ,.:;()/*\\\\n\\\\t]+)', r'\\\\1C<\\\\2>', docstring)\\n docstring = re.sub('@p +([^ ,.:;()/*\\\\n\\\\t]+)', r'C<\\\\1>', docstring)\\n docstring = re.sub('@p(\\\\n[ \\\\t]*\\\\*[ \\\\t]+)([^ ,.:;()/*\\\\n\\\\t]+)', r'\\\\1C<\\\\2>', docstring)\\n docstring = re.sub('@em *([^ ,.:;()/*\\\\n\\\\t]+)', r'I<\\\\1>', docstring)\\n docstring = re.sub('@em(\\\\n[ \\\\t]*\\\\*[ \\\\t]*)([^ ,.:;()/*\\\\n\\\\t]+)', r'\\\\1I<\\\\2>', docstring)\\n\\n docstring = docstring.replace('<ul>', '\\\\n=over\\\\n')\\n docstring = docstring.replace('<li> ', '\\\\n=item\\\\n\\\\n')\\n docstring = docstring.replace('</ul>', '\\\\n=back\\\\n')\\n\\n docstring = docstring.replace('@return', 'Returns')\\n docstring = docstring.replace(' < ', ' E<lt> ').replace(' > ', ' E<gt> ')\\n docstring = re.sub('<code>([^<]*)</code>', r'C<\\\\1>', docstring)\\n docstring = re.sub('<b>([^<]*)</b>', r'B<\\\\1>', docstring) \\n\\n return docstring\",\n \"def docstrings(param1, param2):\\n return \\\"example string\\\"\",\n \"def load_pydoc(finder, module):\\n module.IgnoreName(\\\"Tkinter\\\")\",\n \"def _add_doc(func, doc):\\r\\n func.__doc__ = doc\",\n \"def _add_doc(func, doc):\\r\\n func.__doc__ = doc\",\n \"def _add_doc(func, doc):\\r\\n func.__doc__ = doc\",\n \"def clean_doc(doc):\\r\\n # Replace regular enter (i.e. mere comment formatting in cpp file)\\r\\n # with space\\r\\n doc = doc.replace(\\\"\\\\n\\\", \\\" \\\")\\r\\n\\r\\n # The removal can cause a \\\"hard enter\\\" (literal \\\\n) to get an unintended\\r\\n # trailing space - trim those.\\r\\n doc = doc.replace(\\\"\\\\\\\\n \\\", \\\"\\\\\\\\n\\\")\\r\\n return '\\\"%s\\\"' % doc\",\n \"def rewriteDocstringForCSharp (docstring):\\n\\n # Preliminary: rewrite some of the data type references to equivalent\\n # C# types. (Note: this rewriting affects only the documentation\\n # comments inside classes & methods, not the actual method signatures.)\\n\\n docstring = docstring.replace(r'const char *', 'string ')\\n docstring = docstring.replace(r'const char* ', 'string ')\\n docstring = docstring.replace(r'an unsigned int', 'a long integer')\\n docstring = docstring.replace(r'unsigned int', 'long')\\n docstring = docstring.replace(r'const std::string&', 'string')\\n docstring = docstring.replace(r'const std::string &', 'string ')\\n docstring = docstring.replace(r'const std::string', 'string')\\n docstring = docstring.replace(r'std::string', 'string')\\n docstring = docstring.replace(r'const ', '')\\n docstring = docstring.replace(r'NULL', 'null')\\n docstring = docstring.replace(r'boolean', 'bool')\\n\\n # Use C# syntax instead of \\\"const XMLNode*\\\" etc.\\n\\n p = re.compile(r'const (%?)(' + r')( ?)(\\\\*|&)', re.DOTALL)\\n docstring = p.sub(rewriteClassRefAddingSpace, docstring) \\n p = re.compile(r'(%?)(' + r')( ?)(\\\\*|&)', re.DOTALL)\\n docstring = p.sub(rewriteClassRefAddingSpace, docstring) \\n\\n # <code> has its own special meaning in C#; we have to turn our input\\n # file's uses of <code> into <c>. Conversely, we have to turn our\\n # uses of verbatim to <code>.\\n\\n p = re.compile(r'<code>(.+?)</code>', re.DOTALL)\\n docstring = p.sub(r'<c>\\\\1</c>', docstring)\\n p = re.compile('@verbatim(.+?)@endverbatim', re.DOTALL)\\n docstring = p.sub(r'<code>\\\\1</code>', docstring)\\n\\n # Do replacements on some documentation text we sometimes use.\\n\\n p = re.compile(r'antimonyConstants([@.])')\\n docstring = p.sub(r'antimonycs.antimony\\\\1', docstring)\\n\\n # Fix @link for constants that we forgot conditionalize in the source.\\n\\n p = re.compile(r'@link +([A-Z_0-9]+?)@endlink', re.DOTALL)\\n docstring = p.sub(r'@link antimony.\\\\1@endlink', docstring)\\n\\n # Can't use math symbols. Kluge around it.\\n\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\geq\\\\\\\\f\\\\$', '>=', docstring)\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\leq\\\\\\\\f\\\\$', '<=', docstring)\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\times\\\\\\\\f\\\\$', '*', docstring)\\n\\n # Some additional special cases.\\n\\n docstring = docstring.replace(r'SBML_formulaToString()', 'antimonycs.antimony.formulaToString()')\\n docstring = docstring.replace(r'SBML_parseFormula()', 'antimonycs.antimony.parseFormula()')\\n\\n # Need to escape the quotation marks:\\n\\n docstring = docstring.replace('\\\"', \\\"'\\\")\\n docstring = docstring.replace(r\\\"'\\\", r\\\"\\\\'\\\") \\n\\n return docstring\",\n \"def _add_doc(func, doc):\\n func.__doc__ = doc\",\n \"def undocumented(func):\\n func._undocumented_ = True\\n return func\",\n \"def docstring(self, docstring): # type: (str) -> None\\n self._tmp_docstring = inspect.cleandoc(docstring)\",\n \"def extract_docstring(loaded):\\n\\n source = loaded['cells'][0]['source']\\n\\n assert source[0].strip() == '\\\"\\\"\\\"'\\n assert source[-1].strip() == '\\\"\\\"\\\"'\\n\\n return ' '.join(i.strip() for i in source[1:-1])\",\n \"def __doc__(self, ???):\",\n \"def func_doc():\",\n \"def collect_docstring(lines):\\n lines = dropwhile(lambda x: not x.startswith('\\\"\\\"\\\"'), lines)\\n doc = \\\"\\\"\\n for line in lines:\\n doc += line\\n if doc.endswith('\\\"\\\"\\\"\\\\n'):\\n break\\n\\n return doc[3:-4].replace(\\\"\\\\r\\\", \\\"\\\").replace(\\\"\\\\n\\\", \\\" \\\")\",\n \"def old_function_with_docstring(x, y):\\n return x + y\",\n \"def clean_docs(c):\\n c.run(f\\\"rm -fr {DOCS_BUILD_DIR}\\\")\",\n \"def convert_doxygen_docstring(lines, name):\\n\\n lines = lines[:]\\n newlines = []\\n indent = 0\\n reading_desc = False\\n\\n while lines:\\n line = lines.pop(0)\\n if line.startswith(\\\"////\\\"):\\n continue\\n\\n line = line.rstrip()\\n if line.startswith('///<'):\\n strline = line[4:]\\n else:\\n strline = line\\n\\n strline = strline.lstrip('/ \\\\t')\\n\\n if strline == \\\"**\\\" or strline == \\\"*/\\\":\\n continue\\n\\n if strline.startswith(\\\"** \\\"):\\n strline = strline[3:]\\n elif strline.startswith(\\\"* \\\"):\\n strline = strline[2:]\\n elif strline == \\\"*\\\":\\n strline = \\\"\\\"\\n\\n strline = strline.lstrip(' \\\\t')\\n\\n if strline.startswith('@'):\\n special = strline.split(' ', 1)[0][1:]\\n if special == 'par' and strline.endswith(':') and lines and '@code' in lines[0]:\\n newlines.append(' '*indent + strline[5:] + ':')\\n newlines.append('')\\n line = lines.pop(0)\\n offset = line.index('@code')\\n while lines:\\n line = lines.pop(0)\\n if '@endverbatim' in line or '@endcode' in line:\\n break\\n newlines.append(' ' + line[offset:])\\n\\n newlines.append('')\\n continue\\n elif special == \\\"verbatim\\\" or special == \\\"code\\\":\\n if newlines and newlines[-1]:\\n newlines.append('')\\n\\n newlines.append('.. code-block:: guess')\\n newlines.append('')\\n offset = line.index('@' + special)\\n while lines:\\n line = lines.pop(0)\\n if '@endverbatim' in line or '@endcode' in line:\\n break\\n newlines.append(' ' + line[offset:])\\n\\n newlines.append('')\\n continue\\n elif special == \\\"f[\\\":\\n if newlines and newlines[-1]:\\n newlines.append('')\\n\\n newlines.append('.. math::')\\n newlines.append('')\\n offset = line.index('@' + special)\\n while lines:\\n line = lines.pop(0)\\n if '@f]' in line:\\n break\\n newlines.append(' ' + line[offset:])\\n\\n newlines.append('')\\n continue\\n elif special == 'param':\\n #TODO\\n #if extra is not None:\\n # _, name, desc = strline.split(' ', 2)\\n # extra['param:' + name] = desc\\n continue\\n elif special == 'deprecated':\\n if newlines and newlines[-1]:\\n newlines.append('')\\n\\n _, value = strline.split(' ', 1)\\n\\n # I'd love to use the proper Sphinx deprecated tag, but it\\n # requires a version number, whereas Doxygen doesn't.\\n newlines.append('*Deprecated:* ' + convert_doxygen_format(value, name))\\n newlines.append('')\\n continue\\n elif special in ('brief', 'return', 'returns'):\\n #TODO\\n #if extra is not None:\\n # _, value = strline.split(' ', 1)\\n # extra[special] = value\\n continue\\n elif special == 'details':\\n strline = strline[9:]\\n elif special == 'sa' or special == 'see':\\n if newlines and newlines[-1]:\\n newlines.append('')\\n\\n _, value = strline.split(' ', 1)\\n values = value.split(',')\\n\\n for i, value in enumerate(values):\\n result = resolve_reference(value.partition('(')[0], name)\\n if result:\\n values[i] = ':{0}:`{1}`'.format(*result)\\n else:\\n values[i] = ':obj:`{0}`'.format(value)\\n\\n if special == 'see':\\n newlines.append('See {}.'.format(', '.join(values)))\\n else:\\n newlines.append('See also {}.'.format(', '.join(values)))\\n newlines.append('')\\n continue\\n elif special in ('note', 'warning'):\\n if newlines and newlines[-1]:\\n newlines.append('')\\n\\n newlines.append('.. %s:: ' % (special))\\n newlines.append('')\\n newlines.append(' ' + convert_doxygen_format(strline[2 + len(special):], name))\\n while lines and lines[0].strip(' *\\\\t/'):\\n line = lines.pop(0).lstrip(' *\\\\t')\\n newlines.append(' ' + convert_doxygen_format(line, name))\\n\\n newlines.append('')\\n continue\\n elif special == 'since':\\n if newlines and newlines[-1]:\\n newlines.append('')\\n\\n newlines.append('.. versionadded:: ' + strline[7:])\\n newlines.append('')\\n continue\\n else:\\n print(\\\"Unhandled documentation tag: @\\\" + special)\\n\\n if strline or len(newlines) > 0:\\n newlines.append(' '*indent + convert_doxygen_format(strline, name))\\n\\n return newlines\",\n \"def __init__ (self, docstring, name, isInternal):\\n\\n # Take out excess leading blank lines.\\n docstring = re.sub('/\\\\*\\\\*(\\\\s+\\\\*)+', r'/** \\\\n *', docstring)\\n\\n self.docstring = docstring\\n self.name = name\\n self.isInternal = isInternal\",\n \"def docstring(\\n docstring: str = None, *, pre: str = None, post: str = None\\n) -> Callable[[U], U]:\\n\\n def edit_docstring(obj: U) -> U:\\n obj.__doc__ = \\\"\\\".join(\\n (\\n clean_docstring(pre or \\\"\\\", unused=\\\"pre\\\"),\\n clean_docstring(docstring or (obj.__doc__ or \\\"\\\")),\\n clean_docstring(post or \\\"\\\", unused=\\\"post\\\"),\\n )\\n )\\n return obj\\n\\n return edit_docstring\",\n \"def doc_summary(lines):\\n summary = []\\n for line in lines:\\n stripped = line.strip().lower()\\n if (stripped.startswith('to use this normalizer') or\\n stripped.startswith('use ``method')):\\n continue\\n if (line.startswith('Parameters') or line.startswith('Example')\\n or line.startswith('.. note::')):\\n break\\n summary.append(line)\\n return summary\",\n \"def docstring(func):\\n try:\\n lines = func.__doc__.strip().split(\\\"\\\\n\\\")\\n return [line.strip() for line in lines]\\n except AttributeError:\\n return None\",\n \"def test_doc():\\n pass\",\n \"def inherits_doc():\\n pass\",\n \"def test_user_func_docstrings(self):\\n for func in self.user_f:\\n self.assertIsNot(func[1].__doc__, None,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\\n self.assertTrue(len(func[1].__doc__) >= 1,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\",\n \"def get_main_help(self):\\r\\n return __doc__.strip()\",\n \"def test_user_func_docstrings(self):\\n for func in self.student_f:\\n self.assertIsNot(func[1].__doc__, None,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\\n self.assertTrue(len(func[1].__doc__) >= 1,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\",\n \"def doc_apply(doc):\\n\\n def wrapper(func):\\n func.__doc__ = doc\\n return func\\n\\n return wrapper\",\n \"async def remove_doc(self, *args, **kwargs):\\n pass\",\n \"def __init__ (self, isInternal, docstring, name, args, isConst):\\n\\n self.name = name\\n self.isConst = isConst\\n self.isInternal = isInternal\\n\\n if isInternal:\\n if language == 'java':\\n # We have a special Javadoc doclet that understands a non-standard\\n # Javadoc tag, @internal. When present in the documentation string\\n # of a method, it causes it to be excluded from the final\\n # documentation output. @internal is something doxygen offers.\\n #\\n p = re.compile('(\\\\s+?)\\\\*/', re.MULTILINE)\\n self.docstring = p.sub(r'\\\\1* @internal\\\\1*/', docstring)\\n elif language == 'csharp':\\n # We mark internal methods in a different way for C#.\\n self.docstring = docstring\\n else:\\n self.docstring = \\\" @internal\\\\n\\\" + docstring\\n else:\\n self.docstring = docstring\\n\\n # In Java and C#, if a method is const and swig has to translate the type,\\n # then for some reason swig cannot match up the resulting doc strings\\n # that we put into %javamethodmodifiers. The result is that the java\\n # documentation for the methods are empty. I can't figure out why, but\\n # have figured out that if we omit the argument list in the doc string\\n # that is put on %javamethodmodifiers for such case, swig does generate \\n # the comments for those methods. This approach is potentially dangerous\\n # because swig might attach the doc string to the wrong method if a\\n # methods has multiple versions with varying argument types, but the\\n # combination doesn't seem to arise in antimony currently, and anyway,\\n # this fixes a real problem in the Java documentation for antimony.\\n\\n if language == 'java' or language == 'csharp':\\n if isConst and (args.find('unsigned int') >= 0):\\n self.args = ''\\n elif not args.strip() == '()':\\n if isConst:\\n self.args = args + ' const'\\n else:\\n self.args = args\\n else:\\n if isConst:\\n self.args = '() const'\\n else:\\n self.args = ''\\n else:\\n self.args = args\",\n \"def pydocstyle(context):\\n exec_cmd = \\\"pydocstyle .\\\"\\n run_cmd(context, exec_cmd)\",\n \"def getdoc(object):\\r\\n try:\\r\\n doc = object.__doc__\\r\\n except AttributeError:\\r\\n return None\\r\\n if not isinstance(doc, types.StringTypes):\\r\\n return None\\r\\n return cleandoc(doc)\",\n \"def task_pydocstyle():\\n yield {\\n 'name': os.path.join(os.getcwd(), 'nikola'),\\n 'actions': [\\\"pydocstyle --count --match-dir='(?!^\\\\\\\\.)(?!data).*' nikola/\\\"],\\n }\",\n \"def shortDescription(self):\\n # Suppress default logging of docstrings.\\n return None\",\n \"def inheritdocstrings(cls):\\n for name, func in vars(cls).items():\\n if isinstance(func, types.FunctionType) and not func.__doc__:\\n for parent in cls.__bases__:\\n parfunc = getattr(parent, name, None)\\n if parfunc and getattr(parfunc, '__doc__', None):\\n func.__doc__ = parfunc.__doc__\\n break\\n return cls\",\n \"def rewriteDocstringForPython (docstring):\\n\\n # Take out the C++ comment start and end.\\n\\n docstring = docstring.replace('/**', '').replace('*/', '')\\n p = re.compile('^(\\\\s*)\\\\*([ \\\\t]*)', re.MULTILINE)\\n docstring = p.sub(r'\\\\2', docstring)\\n\\n # Rewrite some of the data type references to equivalent Python types.\\n # (Note: this rewriting affects only the documentation comments inside\\n # classes & methods, not the method signatures.)\\n\\n docstring = docstring.replace(r'const char *', 'string ')\\n docstring = docstring.replace(r'const char* ', 'string ')\\n docstring = docstring.replace(r'an unsigned int', 'a long integer')\\n docstring = docstring.replace(r'unsigned int', 'long')\\n docstring = docstring.replace(r'const std::string&', 'string')\\n docstring = docstring.replace(r'const std::string', 'string')\\n docstring = docstring.replace(r'std::string', 'string')\\n docstring = docstring.replace(r'NULL', 'None')\\n docstring = docstring.replace(r'@c true', '@c True')\\n docstring = docstring.replace(r'@c false', '@c False')\\n\\n # Also use Python syntax instead of \\\"const XMLNode*\\\" etc.\\n\\n p = re.compile(r'const (%?)(' + r') ?(\\\\*|&)', re.DOTALL)\\n docstring = p.sub(rewriteClassRef, docstring) \\n p = re.compile(r'(%?)(' + r') ?(\\\\*|&)', re.DOTALL)\\n docstring = p.sub(rewriteClassRef, docstring) \\n\\n # Need to escape the quotation marks:\\n\\n docstring = docstring.replace('\\\"', \\\"'\\\")\\n docstring = docstring.replace(r\\\"'\\\", r\\\"\\\\'\\\")\\n\\n # Python method cross-references won't be made by doxygen unless\\n # the method reference is written without arguments.\\n\\n p = re.compile('(\\\\s+)(\\\\S+?)::(\\\\w+\\\\s*)(\\\\([^)]*?\\\\))', re.MULTILINE)\\n docstring = p.sub(translatePythonCrossRef, docstring)\\n p = re.compile('(@see\\\\s+)(\\\\w+\\\\s*)(\\\\([^)]*?\\\\))')\\n docstring = p.sub(translatePythonSeeRef, docstring)\\n\\n # Friggin' doxygen escapes HTML character codes, so the hack we have to\\n # do for Javadoc turns out doesn't work for the Python documentation.\\n # Kluge around it.\\n\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\geq\\\\\\\\f\\\\$', '>=', docstring)\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\leq\\\\\\\\f\\\\$', '<=', docstring)\\n docstring = re.sub(r'\\\\\\\\f\\\\$\\\\\\\\times\\\\\\\\f\\\\$', '*', docstring)\\n\\n # SWIG does some bizarre truncation of leading characters that\\n # happens to hit us because of how we have to format verbatim's.\\n # This tries to kluge around it: \\n p = re.compile('@verbatim.+?@endverbatim', re.DOTALL)\\n docstring = p.sub(indentVerbatimForPython, docstring)\\n\\n return docstring\",\n \"def trim(docstring):\\n if not docstring:\\n return ''\\n # Convert tabs to spaces (following the normal Python rules)\\n # and split into a list of lines:\\n lines = six.u(docstring).expandtabs().splitlines()\\n lines = [line.strip() for line in lines]\\n res = six.u('\\\\n').join(lines)\\n return res\",\n \"def test_0_check_xc_docstring(self):\\n self.banner(\\\"Checking the docstring on your extra credit.\\\") \\n filename = self.find_file('project9_xc.py')\\n self.check_docstring(filename)\",\n \"def _remove_doc(xml_str):\\n result = []\\n do_add = True\\n for line in xml_str.splitlines():\\n if '<doc:doc>' in line:\\n do_add = False\\n if do_add:\\n result.append(line)\\n if '</doc:doc>' in line:\\n do_add = True\\n return '\\\\n'.join(result)\",\n \"def pythondoc(self, irc, msg, args, num, req):\\n self.googleq('http://docs.python.org/library/', req, num, irc)\",\n \"def test_student_module_docstring(self):\\n self.assertIsNot(student.__doc__, None,\\n \\\"student.py needs a docstring\\\")\\n self.assertTrue(len(student.__doc__) >= 1,\\n \\\"student.py needs a docstring\\\")\",\n \"def copy_docstring(other):\\n\\n def wrapper(func):\\n func.__doc__ = other.__doc__\\n return func\\n\\n return wrapper\",\n \"def _clean_doc(doc: Dict) -> Dict:\\n doc['label'] = doc['labels'][config.LANG]['value']\\n aliases = doc['aliases'][config.LANG] if config.LANG in doc['aliases'] else []\\n\\n doc['aliases'] = [alias['value'] for alias in aliases]\\n\\n for key in DOC_CLEAN_KEYS:\\n try:\\n del doc[key]\\n except:\\n continue\\n return doc\",\n \"def test_docstring(self):\\n self.assertIsNotNone(Review.__doc__)\\n self.assertIsNotNone(Review.text.__doc__)\",\n \"def remove_stopwords_fun(self):\\n tokens = str(self.doc).split()\\n cleaned_tokens = [token for token in tokens\\n if token.lower() not in self.stopword_list]\\n self.doc = ' '.join(cleaned_tokens)\",\n \"def filter_doc(doc_text):\\n # remove stars\\n filter_regex=re.compile(r\\\"[_*]\\\")\\n doc=filter_regex.sub(\\\"\\\",doc_text)\\n # substitute quotation marks\\n double_quot_regex=re.compile(r\\\"[“”]\\\")\\n single_quot_regex=re.compile(r\\\"[’‘]\\\")\\n doc=double_quot_regex.sub('\\\"',doc)\\n doc=single_quot_regex.sub(\\\"'\\\",doc)\\n # substitute new lines inside the text for spaces\\n # these new lines are usually caused by formatting texts to fit in 80 columns \\n newline_quot_regex=re.compile(r\\\"(\\\\S)\\\\n(\\\\S)\\\")\\n doc=newline_quot_regex.sub(r\\\"\\\\1 \\\\2\\\",doc)\\n # remove illustration tag\\n #illustration_regex=re.compile(r\\\"\\\\[Illustration.*]\\\")\\n #doc=illustration_regex.sub(\\\"\\\",doc)\\n return doc\",\n \"def docs():\",\n \"def clean_code(ls):\\r\\n ls = remove_white_space(ls)\\r\\n ls = remove_comments(ls)\\r\\n ls = remove_empty_lines(ls)\\r\\n\\r\\n return ls\",\n \"def improve_class_docstring(app, cls, lines):\\n if issubclass(cls, models.Model):\\n improve_model_docstring(app, cls, lines)\\n elif issubclass(cls, forms.BaseForm):\\n improve_form_docstring(cls, lines)\",\n \"def cleanup_code( content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def test_fs_func_docstrings(self):\\n for func in self.fs_f:\\n self.assertIsNot(func[1].__doc__, None,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\\n self.assertTrue(len(func[1].__doc__) >= 1,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\",\n \"def wrapper(func):\\n docstring = func.__doc__\\n helpdict = parse_docstring(\\n docstring, key_symbol=key_symbol,\\n description_symbol=description_symbol)\\n func.helpdict = helpdict\\n # remove markers\\n docstring = docstring.replace(key_symbol, '')\\n func.__doc__ = docstring.replace(description_symbol, '')\\n return func\",\n \"def test_docstring(self):\\n self.assertIsNotNone(Review.__doc__)\",\n \"def strip_doc_string(proto: google.protobuf.message.Message) -> None:\\n if not isinstance(proto, google.protobuf.message.Message):\\n raise TypeError(\\n f\\\"proto must be an instance of {google.protobuf.message.Message}.\\\"\\n )\\n for descriptor in proto.DESCRIPTOR.fields:\\n if descriptor.name == \\\"doc_string\\\":\\n proto.ClearField(descriptor.name)\\n elif descriptor.type == descriptor.TYPE_MESSAGE:\\n if descriptor.label == descriptor.LABEL_REPEATED:\\n for x in getattr(proto, descriptor.name):\\n strip_doc_string(x)\\n elif proto.HasField(descriptor.name):\\n strip_doc_string(getattr(proto, descriptor.name))\",\n \"def strip_docstrings(tokens):\\n stack = []\\n state = 'wait_string'\\n for t in tokens:\\n typ = t[0]\\n if state == 'wait_string':\\n if typ in (tokenize.NL, tokenize.COMMENT):\\n yield t\\n elif typ in (tokenize.DEDENT, tokenize.INDENT, tokenize.STRING):\\n stack.append(t)\\n elif typ == tokenize.NEWLINE:\\n stack.append(t)\\n start_line, end_line = stack[0][2][0], stack[-1][3][0]+1\\n for i in range(start_line, end_line):\\n yield tokenize.NL, '\\\\n', (i, 0), (i,1), '\\\\n'\\n for t in stack:\\n if t[0] in (tokenize.DEDENT, tokenize.INDENT):\\n yield t[0], t[1], (i+1, t[2][1]), (i+1, t[3][1]), t[4]\\n del stack[:]\\n else:\\n stack.append(t)\\n for t in stack: yield t\\n del stack[:]\\n state = 'wait_newline'\\n elif state == 'wait_newline':\\n if typ == tokenize.NEWLINE:\\n state = 'wait_string'\\n yield t\",\n \"def cleanup_code(content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def update_docstring(instance):\\n try:\\n docstring = instance.api_map['doc']\\n except (KeyError, TypeError):\\n docstring = 'No docstring provided.'\\n\\n instance.__class__.__doc__ = docstring\\n instance.__class__.__call__.__signature__ = construct_signature(instance)\\n\\n return docstring\",\n \"def main():\\n system('cls||clear')\\n\\n #Print a docstring.\\n print (main.__doc__)\",\n \"def def_textface_doctests():\",\n \"def test_dbs_func_docstrings(self):\\n for func in self.dbs_f:\\n self.assertIsNot(func[1].__doc__, None,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\\n self.assertTrue(len(func[1].__doc__) >= 1,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\",\n \"def test_dbs_func_docstrings(self):\\n for func in self.dbs_f:\\n self.assertIsNot(func[1].__doc__, None,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\\n self.assertTrue(len(func[1].__doc__) >= 1,\\n \\\"{:s} method needs a docstring\\\".format(func[0]))\",\n \"def init_doc(self):\\n raise NotImplementedError()\",\n \"def minimize_source(source):\\n if not isinstance(source, mitogen.core.UnicodeType):\\n source = source.decode('utf-8')\\n tokens = tokenize.generate_tokens(StringIO(source).readline)\\n tokens = strip_comments(tokens)\\n tokens = strip_docstrings(tokens)\\n tokens = reindent(tokens)\\n return tokenize.untokenize(tokens)\",\n \"def strip_params_from_docstring(docstring):\\n split_lines = trim_docstring(docstring).split('\\\\n')\\n\\n cut_off = None\\n for index, line in enumerate(split_lines):\\n line = line.strip()\\n if PARAMS_PATTERN.search(line):\\n cut_off = index\\n break\\n if cut_off is not None:\\n split_lines = split_lines[0:cut_off]\\n\\n return \\\"\\\\n\\\".join(split_lines)\",\n \"def trim_docstring(docstring):\\r\\n lines = docstring.expandtabs().splitlines()\\r\\n\\r\\n # Find minimum indentation of any non-blank lines after first line.\\r\\n from sys import maxint\\r\\n margin = maxint\\r\\n for line in lines[1:]:\\r\\n content = len(line.lstrip())\\r\\n if content:\\r\\n indent = len(line) - content\\r\\n margin = min(margin, indent)\\r\\n\\r\\n # Remove indentation.\\r\\n if lines:\\r\\n lines[0] = lines[0].lstrip()\\r\\n if margin < maxint:\\r\\n for i in range(1, len(lines)):\\r\\n lines[i] = lines[i][margin:]\\r\\n\\r\\n # Remove any trailing or leading blank lines.\\r\\n while lines and not lines[-1]:\\r\\n lines.pop()\\r\\n while lines and not lines[0]:\\r\\n lines.pop(0)\\r\\n return '\\\\n'.join(lines)\",\n \"def short_doc(obj):\\n if obj.__doc__:\\n lines = obj.__doc__.strip(' \\\\n').splitlines()\\n if lines:\\n return lines[0]\\n return None\",\n \"def test_all_docstrings():\\n functions = inspect.getmembers(s7, inspect.isfunction)\\n for func in functions:\\n docstring = func[1].__doc__\\n assert docstring, \\\"Wooaaahhh !! You have not written docstring for {}\\\".format(func[1].__str__())\",\n \"def consistent_documentation():\\n\\n return 3\",\n \"def cleanup_code(content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def docstring(func: Callable) -> list[str] | None:\\n try:\\n lines = func.__doc__.strip().split(\\\"\\\\n\\\") # type: ignore\\n return [line.strip() for line in lines]\\n except AttributeError:\\n return None\",\n \"def test__get_doc():\\n docstring = util._get_doc(\\\"midgard\\\")\\n assert isinstance(docstring, str) and len(docstring) > 0\",\n \"def test_docstring(self):\\n self.assertIsNotNone(Base.__doc__)\",\n \"def guess(cls, docstring):\",\n \"def getdoc(obj):\\n try:\\n doc = obj.__doc__\\n except AttributeError:\\n return None\\n if not isinstance(doc, str):\\n return None\\n return inspect.cleandoc(doc)\",\n \"def parse_help(func):\\n # Grab the raw doc\\n doc = func.__doc__\\n\\n # Check for non-existent documentation and return a 404 message of sorts\\n if not doc:\\n return 'Woops, there isn\\\\'t any documentation for this command!'\\n\\n # Strip away extra newlines\\n doc = doc.strip()\\n # Split on (and remove) the newlines\\n doc = doc.split('\\\\n')\\n # Clean out the leading space on each line, merge the lines, and return\\n return ' '.join(L.strip() for L in doc)\",\n \"def public_fn_with_googley_docstring(self, name, another, state=None):\\n return 0\",\n \"def remove_code_annotations(line_to_transform):\\n line_to_transform = str(line_to_transform)\\n line_to_transform = line_to_transform.split(' #', 1)[0]\\n line_to_transform = line_to_transform.replace(':', '')\\n line_to_transform = line_to_transform.replace('\\\\t', '')\\n line_to_transform = line_to_transform.replace(' ', '')\\n line_to_transform = line_to_transform.replace('\\\\n', '')\\n line_to_transform = line_to_transform.replace('elif ', '')\\n line_to_transform = line_to_transform.replace('if ', '')\\n line_to_transform = line_to_transform.replace('else ', '')\\n line_to_transform = line_to_transform.replace('else', '')\\n line_to_transform = line_to_transform.replace('def ', '')\\n line_to_transform = line_to_transform.replace('for ', '')\\n line_to_transform = line_to_transform.replace('while ', '')\\n return line_to_transform\",\n \"def __init__(self):\\n super(MethodInfo, self).__init__()\\n self.DocString = None\",\n \"def strip_yaml_from_docstring(docstring):\\n split_lines = trim_docstring(docstring).split('\\\\n')\\n\\n cut_off = None\\n for index in range(len(split_lines) - 1, -1, -1):\\n line = split_lines[index]\\n line = line.strip()\\n if line == '---':\\n cut_off = index\\n break\\n if cut_off is not None:\\n split_lines = split_lines[0:cut_off]\\n\\n return \\\"\\\\n\\\".join(split_lines)\",\n \"def _docs_params(**kwds):\\n\\n def dec(obj):\\n obj.__orig_doc__ = obj.__doc__\\n obj.__doc__ = dedent(obj.__doc__).format_map(kwds)\\n return obj\\n\\n return dec\",\n \"def doc_sub(*sub):\\n def dec(obj):\\n obj.__doc__ = obj.__doc__.format(*sub)\\n return obj\\n return dec\",\n \"def test_doc_fun(self):\\n for fun in self.functions:\\n self.assertTrue(len(fun.__doc__) > 0)\",\n \"def md_docstring(docstring):\\n content = []\\n lines = textwrap.dedent(docstring).splitlines()\\n content.append(md_escape(lines[0]))\\n lines = lines[1:]\\n while lines and (not lines[0] or lines[0].isspace()):\\n lines = lines[1:]\\n\\n if not all(l.isspace() for l in lines):\\n content.append(md_code('\\\\n'.join(lines), language=None))\\n content.append('')\\n return content\",\n \"def cleanup_code(self, content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def triple_quote_docs():\\n return\",\n \"def parse_docs(docs):\\n if not docs:\\n return __name__, \\\"<no documentation>\\\"\\n docs = docs.strip().split('\\\\n')\\n for i, line in enumerate(docs):\\n docs[i] = line.strip()\\n return docs[0], ' '.join(docs[1:]) if len(docs[1:]) else \\\"<no documentation>\\\"\",\n \"def _removeComments(code):\\r\\n # remove all occurance streamed comments (/*COMMENT */) from string\\r\\n text = re.sub(re.compile('/\\\\*.*?\\\\*/', re.DOTALL), '', code)\\r\\n # remove all occurance singleline comments (//COMMENT\\\\n ) from string\\r\\n return re.sub(re.compile('//.*?\\\\n'), '', text)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7418431","0.70061356","0.69807357","0.697398","0.692769","0.6822503","0.6774257","0.6732609","0.66039276","0.64539397","0.6381781","0.63537943","0.6343105","0.62978303","0.6271671","0.6246473","0.6230828","0.6230828","0.6230828","0.62265724","0.6169188","0.61584216","0.6123759","0.61000675","0.607402","0.60697144","0.6050962","0.6045161","0.602112","0.60190713","0.6000477","0.59981334","0.5997999","0.5989179","0.5969329","0.59518117","0.59124297","0.59091175","0.58889985","0.5876472","0.5872568","0.5838108","0.58369","0.5830149","0.5825831","0.5819563","0.58111316","0.5798315","0.57952166","0.5790616","0.578703","0.5748159","0.5742749","0.57301575","0.57301325","0.5724095","0.5721791","0.57179177","0.56983334","0.5687046","0.567928","0.56737536","0.5670126","0.56648546","0.5659203","0.5641394","0.56410813","0.5626655","0.5623831","0.561544","0.56063354","0.5595017","0.55932885","0.55932885","0.55906975","0.5588577","0.5586489","0.5581303","0.55726993","0.5571934","0.55643046","0.5560398","0.5556693","0.5551825","0.554143","0.5533265","0.5530116","0.55292815","0.55271244","0.55241954","0.5521923","0.5502516","0.5499995","0.54983217","0.5493006","0.548639","0.5469594","0.54665834","0.5465206","0.5458908"],"string":"[\n \"0.7418431\",\n \"0.70061356\",\n \"0.69807357\",\n \"0.697398\",\n \"0.692769\",\n \"0.6822503\",\n \"0.6774257\",\n \"0.6732609\",\n \"0.66039276\",\n \"0.64539397\",\n \"0.6381781\",\n \"0.63537943\",\n \"0.6343105\",\n \"0.62978303\",\n \"0.6271671\",\n \"0.6246473\",\n \"0.6230828\",\n \"0.6230828\",\n \"0.6230828\",\n \"0.62265724\",\n \"0.6169188\",\n \"0.61584216\",\n \"0.6123759\",\n \"0.61000675\",\n \"0.607402\",\n \"0.60697144\",\n \"0.6050962\",\n \"0.6045161\",\n \"0.602112\",\n \"0.60190713\",\n \"0.6000477\",\n \"0.59981334\",\n \"0.5997999\",\n \"0.5989179\",\n \"0.5969329\",\n \"0.59518117\",\n \"0.59124297\",\n \"0.59091175\",\n \"0.58889985\",\n \"0.5876472\",\n \"0.5872568\",\n \"0.5838108\",\n \"0.58369\",\n \"0.5830149\",\n \"0.5825831\",\n \"0.5819563\",\n \"0.58111316\",\n \"0.5798315\",\n \"0.57952166\",\n \"0.5790616\",\n \"0.578703\",\n \"0.5748159\",\n \"0.5742749\",\n \"0.57301575\",\n \"0.57301325\",\n \"0.5724095\",\n \"0.5721791\",\n \"0.57179177\",\n \"0.56983334\",\n \"0.5687046\",\n \"0.567928\",\n \"0.56737536\",\n \"0.5670126\",\n \"0.56648546\",\n \"0.5659203\",\n \"0.5641394\",\n \"0.56410813\",\n \"0.5626655\",\n \"0.5623831\",\n \"0.561544\",\n \"0.56063354\",\n \"0.5595017\",\n \"0.55932885\",\n \"0.55932885\",\n \"0.55906975\",\n \"0.5588577\",\n \"0.5586489\",\n \"0.5581303\",\n \"0.55726993\",\n \"0.5571934\",\n \"0.55643046\",\n \"0.5560398\",\n \"0.5556693\",\n \"0.5551825\",\n \"0.554143\",\n \"0.5533265\",\n \"0.5530116\",\n \"0.55292815\",\n \"0.55271244\",\n \"0.55241954\",\n \"0.5521923\",\n \"0.5502516\",\n \"0.5499995\",\n \"0.54983217\",\n \"0.5493006\",\n \"0.548639\",\n \"0.5469594\",\n \"0.54665834\",\n \"0.5465206\",\n \"0.5458908\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.67054003"},"document_rank":{"kind":"string","value":"8"}}},{"rowIdx":4778,"cells":{"query":{"kind":"string","value":"Strips blank lines from the code"},"document":{"kind":"string","value":"def strip_blanklines(blob):\n lines = blob.split('\\n')\n return '\\n'.join([line for line in lines if line.strip() != ''])"},"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 remove_blank_lines(text):\n out_text = \"\"\n blank = True\n for line in text.splitlines(True):\n if line.isspace():\n if not blank:\n blank = True\n out_text = out_text + line\n else:\n blank = False\n out_text = out_text + line\n return out_text","def clean_code(ls):\r\n ls = remove_white_space(ls)\r\n ls = remove_comments(ls)\r\n ls = remove_empty_lines(ls)\r\n\r\n return ls","def remove_empty_lines(self):\n self.result_code = open(\"result.c\", \"r\") # Opening the intermediate file in 'read' mode.\n self.line_array = self.result_code.readlines() # Obtaining an array of strings, where each string is a line from the intermediate file.\n self.result_code.close() # Closing the intermediate file.\n self.result_code = open(\"result.c\",\"w\") #Opening the intermediate file in 'write' mode.\n # Looping over all the lines in the input file.\n for line in self.line_array:\n # Checking if the line is empty.\n if line != \"\\n\":\n self.result_code.write(line) # Writing the non-empty line onto the intermediate file.\n self.result_code.close() # Closing the intermediate file.","def remove_leading_whitespace_and_empty_lines(text: str) -> str:\n # We call lstrip() twice on the same line. This is inefficient but ok for small unit tests.\n # Please change it if you want to.\n return '\\n'.join([line.lstrip() for line in text.split('\\n') if line.lstrip() != ''])","def _strip_lines(lines):\n for line in lines:\n stripped = line.strip()\n if stripped:\n yield stripped","def _preprocess(self, source):\n source = source.replace(u'\\n', u'').strip()\n source = re.sub(r'<br\\s*\\/?\\s*>', u' ', source, re.I)\n source = re.sub(r'\\s\\s+', u' ', source)\n return source","def no_blank_line_before_section(): # noqa: D416","def remove_leading_blanks(self, sentence):\n pass","def _remove_beginning_newlines(lines):\n first_non_blank_line = 0\n\n for line in lines:\n if line.strip():\n break\n\n first_non_blank_line += 1\n\n return lines[first_non_blank_line:]","def cleanup_code(self, content):\n\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n if content[-4] == '\\n':\n return '\\n'.join(content.split('\\n')[1:-1])\n return '\\n'.join(content.split('\\n')[1:]).rstrip('`')\n\n # remove `foo`\n return content.strip('` \\n')","def ignorableWhitespace(self, data):\n pass","def cleanup_code(self, content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def cleanup_code(content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n # remove `foo`\n return content.strip('` \\n')","def cleanup_code( content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def skipWhiteSpace(self):\n pass","def stripText(self, rawText):\n strippedText = []\n for line in rawText:\n if line.rstrip():\n if line[0] != '#':\n strippedText.append(line.rstrip()) #also remove newline character\n return strippedText","def clean_lines(lines):\n _lines = []\n for l in lines:\n l = l.strip().rstrip()\n if len(l) > 0:\n _lines.append(l)\n return _lines","def __stripEol(self, txt):\n return txt.replace(\"\\r\", \"\").replace(\"\\n\", \"\")","def cleaned_contents(self):\n snip_with_code = re.compile(\"(//.*snip(\\-file)*:?.*\\n)(\\+\\n)?(\\[.*\\]\\n)*----\\n(.*\\n)*?----\\n\", flags=re.IGNORECASE)\n cleaned = re.sub(snip_with_code, r'\\1', self.contents)\n return cleaned","def emptyline(self):","def contents_without_whitespace(self):\n return self.contents.replace(' ', '').replace('\\n', '')","def _get_cleaned_script(self, script):\n script = self._add_uuids(script)\n splitted_script = script.split('\\n')\n code_lines = []\n for line in splitted_script:\n if line.strip() != '':\n code_lines.append(line)\n for i, line in enumerate(code_lines):\n if line[0] != '\\t' and line[0] != ' ':\n code_lines[i] = '\\n' + line\n script = '\\n'.join(code_lines) + '\\n'\n return script","def _strip(lines: Sequence[str]) -> Sequence[str]:\n lines = [i.rstrip() for i in lines]\n return lines","def __clean_line_comments(self):\n self.lines = [l for l in self.lines if not l.startswith(\"//\") and len(l) != 0]","def __clean_line_comments(self):\n self.lines = [l for l in self.lines if not l.startswith(\"//\") and len(l) != 0]","def cleanup_code(content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def test_file_iterator_removes_all_whitespace(self):\n for line in file_iterator('example_module.py'):\n self.assertEqual(line, line.strip())","def remove_tab_space(self):\n self.result_code = open(\"result.c\", \"r\") # Opening the intermediate file in 'read' mode.\n self.line_array = self.result_code.readlines() # Obtaining an array of strings, where each string is a line from the intermediate file.\n self.result_code.close() # Closing the intermediate file.\n\n self.result_code = open(\"result.c\", \"w\") # Opening the intermediate file in 'write' mode.\n # Looping over all the lines in the input file.\n for line in self.line_array:\n # Checking if the line begins with a white space.\n if line[0] == \" \":\n # Checking from which position the code begins over a loop, in order to remove the tab space.\n for c in range(1, len(line)):\n if line[c] != \" \":\n index = c # Making note of the position from which the code begins in the line.\n break\n self.result_code.write(line[index:]) # Writing the line without the tab space into the intermediate file.\n else:\n self.result_code.write(line) # Writing the entire line into the intermediate file in case there is no tab space at the beginning.\n\n self.result_code.close() # Closing the intermediate file.","def remove_empty_lines(filename):\r\n with open(filename, 'r+') as f:\r\n lines = f.readlines()\r\n f.seek(0)\r\n f.writelines(line for line in lines if line.strip())\r\n f.truncate()","def rstrip(self) -> String:\n pass","def clean_file(file_contents):\n commentless_file = _strip_comments(file_contents)\n assembly_code = _remove_whitespace(commentless_file)\n return assembly_code","def strip_trailing_spaces(self):\n for paragraph in self.paragraphs:\n for item in paragraph:\n lines = paragraph[item].split(\"\\n\")\n paragraph[item] = \"\\n\".join([l.rstrip() for l in lines])","def clean(text):\n lines = text.split('\\n')\n\n indx = range(len(lines))\n indx.reverse()\n for i in indx:\n temp = lines[i].strip()\n if temp == '' or temp.startswith('#'):\n del lines[i]\n else:\n lines[i] = temp\n\n return lines","def strip_whitespace(self, text):\n\t\treturn text.strip()","def cleanup (text) :\n l_idx = 1\n lines = text.split ('\\n')\n\n # count leading non-empty lines\n for line in lines :\n if not line.strip () :\n l_idx += 1\n else :\n break\n\n # check if there is anything more to evaluate\n if len (lines) <= l_idx :\n return text\n\n # determine indentation of that line\n indent = 0\n for c in lines[l_idx] :\n if c == ' ' :\n indent += 1\n else : \n break\n\n # if nothing found, check the following line\n if not indent :\n\n if len (lines) <= l_idx + 1:\n return text\n for c in lines[l_idx + 1] :\n if c == ' ' :\n indent += 1\n else : \n break\n\n # if still nothing found, give up\n if not indent :\n return text\n\n\n # oitherwise trim all lines by that indentation\n out = \"\"\n replace = ' ' * indent\n for line in lines :\n out += re.sub (\"%s\" % ' ' * indent, \"\", line)\n out += \"\\n\"\n\n return out","def lstrip(self) -> String:\n pass","def clean_comments(self):\n new_lines = list()\n for line in self.lines:\n if ((not line.startswith(\"//\")) & (not line.isspace()) &\n (not line.startswith(\"/*\") & (not line.startswith(\"*/\")))):\n line = Parser.strip_line(line)\n new_lines.append(line)\n self.lines = new_lines","def strip_space():\n pass","def _remove_whitespace(file_contents):\n whitespace_stripped = [line.strip() for line in file_contents]\n return [line for line in whitespace_stripped if line != \"\"]","def test_file_iterator_removes_leading_whitespace(self):\n for line in file_iterator('example_module.py'):\n self.assertFalse(line.startswith(' '))","def remove_excess_white_space(lines: str):\n two_plus_white_space = r\"\\s{2,}\"\n return re.sub(two_plus_white_space, \"\", lines)","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def emptyline(self):\n pass","def remove_psuedoinstructions(file_contents):\n return [line for line in file_contents if not line.startswith(\n PSUEDOINSTRUCTION_INDICATOR)]","def remove_whitespaces(text: str) -> str:\n return text.lstrip().rstrip()","def strip_warnings(self, line):\n if line[0] == \"|\":\n return \"\"\n else:\n return line","def _chop_end_codes(line):\n return re.sub(r\"\\s\\s\\s\\s+[\\w]{4}.\\s+\\d*\\Z\", \"\", line)","def test_remove_blank_lines(self):\n before_b = \"\"\"\\\n first line\n\n line 1\n line a\n line b\n\n line c\n last line\n \"\"\"\n after_b = \"\"\"\\\n first line\n line 1\n line a\n line b\n line c\n last line\n \"\"\"\n self.run_test(\n before_b=before_b,\n after_b=after_b,\n before_sel=(\"1.0\", \"9.0\"),\n after_sel=(\"1.0\", \"6.9\"),\n command_name=\"remove-blank-lines\",\n )","def filter_blanks(user, str):\n return re.sub(r'\\n{2}\\n+', '\\n', str)","def remove_blanks_list(src):\n return [el for el in src if el]","def clean(source_name):\n with open(source_name, 'r') as f:\n text = f.read()\n text_list = re.split('; |, |\\n| |\\!|\\?', text)\n if '' in text_list:\n text_list = list(filter(lambda x: x != \" \" and x != \"\", text_list))\n return text_list","def _trim(self, docstring):\n if not docstring:\n return ''\n # Convert tabs to spaces (following the normal Python rules)\n # and split into a list of lines:\n lines = docstring.expandtabs().splitlines()\n # Determine minimum indentation (first line doesn't count):\n indent = sys.maxsize\n for line in lines[1:]:\n stripped = line.lstrip()\n if stripped:\n indent = min(indent, len(line) - len(stripped))\n # Remove indentation (first line is special):\n trimmed = [lines[0].strip()]\n if indent < sys.maxsize:\n for line in lines[1:]:\n trimmed.append(line[indent:].rstrip())\n # Strip off trailing and leading blank lines:\n while trimmed and not trimmed[-1]:\n trimmed.pop()\n while trimmed and not trimmed[0]:\n trimmed.pop(0)\n # Return a single string:\n return '\\n'.join(trimmed)","def clean_data(self):\n for line in self.file:\n if line.startswith('//') or line.isspace():\n continue\n if '//' in line:\n line = line.split('//')[0]\n line = line.replace('\\n', '')\n line = line.replace(' ','')\n self.commands.append(line)","def emptyline(self):\n self.do_ls(\"\")","def emptyline(self):\n return","def emptyline(self):\n return","def clean_whitespace(text):\n return text\n #return re.sub(r'\\r\\n|\\n', \"\\t\", text)","def nonempty_lines(text):\n return [line for line in text.split('\\n') if line]","def __remove_line_numbers(file_contents: str) -> str:\n\n spaces = ' ' * 6\n result = ''\n\n for line in file_contents.splitlines():\n new_line = spaces + line[6:72].rstrip()\n result += new_line + '\\n'\n\n return result","def clean_code(code):\n return code","def prepare_file(lines):\n return \" \".join(line.strip() for line in lines)","def strip(notebook):\n for cell in notebook.cells:\n if cell.cell_type == 'code':\n cell.outputs = []\n cell.execution_count = None","def remove_empty_lines(file_name):\n removed_lines = 0\n with open(file_name, mode=\"r\", encoding=\"utf-8\") as fd:\n with open(get_output_file(file_name), mode=\"w\", encoding=\"utf-8\") as ofd:\n for line in fd.readlines():\n if re.search(\"^$\", line):\n removed_lines += 1\n else:\n ofd.write(line)\n print(\"Removed lines: {}\".format(removed_lines))","def ostrip(thefile):\n outlines = []\n with open(thefile, 'r') as f:\n for line in f:\n if line[0] != '%':\n if '%' in line:\n if r'\\%' in line or line[-1] == '%':\n outlines.append(line) # these are not real comments\n else:\n outlines.append(line.split(' %')[0]+'\\n')\n else:\n outlines.append(line)\n return outlines","def _unmunge_multiline_jinja2(lines):\n start_slug = \"# {# \" + JINJA2_ML_SLUG\n start = len(start_slug)\n stop = len(\" #}\\n\")\n new_lines = []\n for line in lines:\n if line.startswith(start_slug):\n new_lines.append(line[start:-stop] + \"\\n\")\n else:\n new_lines.append(line)\n return new_lines","def no_blank_line_after_last_section(): # noqa: D416","def strip_text(text):\n\n return [line.strip() for line in text.splitlines()]","def strip(self, src):\r\n # single-quoted character\r\n p = \"('.')\"\r\n \r\n # double-quoted string\r\n p += \"|(\\\"(?:[^\\\"\\\\\\\\]|\\\\\\\\.)*\\\")\"\r\n \r\n # single and multi-line comment\r\n p += \"|(//.*?$)|(/\\\\*[^*]*(?:\\\\*(?!/)[^*]*)*\\\\*/)\"\r\n \r\n # pre-processor directive\r\n p += \"|\" + \"(^\\\\s*#.*?$)\"\r\n\r\n regex = re.compile(p, re.MULTILINE)\r\n return regex.sub(' ', src)","def maybe_remove_new_line(code):\n lines = code.split(\"\\n\")\n\n if lines[0] in [\"py\", \"python\"]:\n # add new line before last line being ```\n lines = lines[:-2] + lines[-1:]\n\n return \"\\n\".join(lines)","def removeSingleChars(self) -> None:\n self.text = re.sub('\\s[^\\n\\s]\\s', ' ', self.text)","def remove_empty_lines(self, string_list):\r\n string_list2 = []\r\n for strn in string_list:\r\n if strn:\r\n line = strn.strip()\r\n if line == \"\":\r\n continue\r\n else:\r\n string_list2.append(line)\r\n return string_list2","def _reset_leading_whitespace(self):\n self._leading_whitespace = ''","def _skip_whitespace(self):\n whitespace_re = re.compile(r'\\s*')\n return whitespace_re.match(self.body, self.pos).end()","def _purify(self, line_str):\n string = line_str.strip('\\n')\n string = string.strip()\n comment_idx = string.find('//')\n if comment_idx == -1:\n return string.strip()\n elif comment_idx == 0:\n return None\n else:\n return string[0:comment_idx].strip()","def no_underline_and_no_newline(): # noqa: D416","def rstrip_line(line):\n return line.rstrip()","def remove_unc(array):\r\n\tnew_arr = []\r\n\r\n\tdef checkForNewLineAndSemiColon(string):\r\n\t\t\"\"\"delete the new-line character and semi-colon from the string\"\"\"\r\n\t\tnew_string = \"\"\r\n\t\tfor i in string:\r\n\t\t\tif i != \"\\n\" and i != \";\":\r\n\t\t\t\tnew_string += i\r\n\t\treturn new_string\r\n\r\n\tfor i in range(len(array)):\r\n\t\tif array[i] != '' and array[i] != \"package\":\r\n\t\t\tnew_arr.append(checkForNewLineAndSemiColon(array[i]))\r\n\r\n\treturn new_arr[0]","def remove_whitespace_rarity(s, i):\n text = s.replace(' ', '')\n if os.linesep.join([s for s in text.splitlines() if s]) == '':\n return('None')\n else:\n return(os.linesep.join([s for s in text.splitlines() if s]))","def strip_newlines(text):\n return text.replace('\\n', ' ').replace('\\r', '').rstrip()","def remove_curl_debug_lines(text: str) -> str:\n lines = text.split(\"\\n\")\n lines = [line for line in lines if not line.startswith(\"**\")]\n return \"\\n\".join(lines)","def clean_indent(txt):\n return \"\\n\".join(x.strip() for x in txt.splitlines())","def clean_header(klass, s):\n return re.sub(r\"[\\n\\r\\t]+\", \" \", s).strip()","def clean_inp(self):\n self.E_str = \"clean_inp\"\n\n # First remove any comment lines\n new_ltxt = []\n for line_num, line in enumerate(self.file_ltxt):\n edit_line, comment = gen_parse.rm_comment_from_line(line)\n edit_line = edit_line.rstrip()\n if edit_line:\n new_ltxt.append(edit_line)\n self.file_ltxt = new_ltxt[:]\n\n # Get line nums for error messages -before the inp cleaning\n self.line_nums = list(range(1, len(self.file_ltxt)+1))\n for line_num in self.line_nums:\n self.file_ltxt_orig[line_num] = self.file_ltxt[line_num - 1]\n self.line_num = 0\n\n self.clean_open_close_brace()","def list_strip(line: list):\n new_line = [field.strip() for field in line]\n if new_line != line:\n tpl = \"Removed trailing whitespaces in fields of line: {}\"\n msg = tpl.format(line)\n warnings.warn(msg, ParseIsatabWarning)\n return new_line","def _sanitize(text):\n # TODO: any cleanup needed here?\n if text is None:\n return None\n text = text.replace('\\n', ' ')\n return text"],"string":"[\n \"def remove_blank_lines(text):\\n out_text = \\\"\\\"\\n blank = True\\n for line in text.splitlines(True):\\n if line.isspace():\\n if not blank:\\n blank = True\\n out_text = out_text + line\\n else:\\n blank = False\\n out_text = out_text + line\\n return out_text\",\n \"def clean_code(ls):\\r\\n ls = remove_white_space(ls)\\r\\n ls = remove_comments(ls)\\r\\n ls = remove_empty_lines(ls)\\r\\n\\r\\n return ls\",\n \"def remove_empty_lines(self):\\n self.result_code = open(\\\"result.c\\\", \\\"r\\\") # Opening the intermediate file in 'read' mode.\\n self.line_array = self.result_code.readlines() # Obtaining an array of strings, where each string is a line from the intermediate file.\\n self.result_code.close() # Closing the intermediate file.\\n self.result_code = open(\\\"result.c\\\",\\\"w\\\") #Opening the intermediate file in 'write' mode.\\n # Looping over all the lines in the input file.\\n for line in self.line_array:\\n # Checking if the line is empty.\\n if line != \\\"\\\\n\\\":\\n self.result_code.write(line) # Writing the non-empty line onto the intermediate file.\\n self.result_code.close() # Closing the intermediate file.\",\n \"def remove_leading_whitespace_and_empty_lines(text: str) -> str:\\n # We call lstrip() twice on the same line. This is inefficient but ok for small unit tests.\\n # Please change it if you want to.\\n return '\\\\n'.join([line.lstrip() for line in text.split('\\\\n') if line.lstrip() != ''])\",\n \"def _strip_lines(lines):\\n for line in lines:\\n stripped = line.strip()\\n if stripped:\\n yield stripped\",\n \"def _preprocess(self, source):\\n source = source.replace(u'\\\\n', u'').strip()\\n source = re.sub(r'<br\\\\s*\\\\/?\\\\s*>', u' ', source, re.I)\\n source = re.sub(r'\\\\s\\\\s+', u' ', source)\\n return source\",\n \"def no_blank_line_before_section(): # noqa: D416\",\n \"def remove_leading_blanks(self, sentence):\\n pass\",\n \"def _remove_beginning_newlines(lines):\\n first_non_blank_line = 0\\n\\n for line in lines:\\n if line.strip():\\n break\\n\\n first_non_blank_line += 1\\n\\n return lines[first_non_blank_line:]\",\n \"def cleanup_code(self, content):\\n\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n if content[-4] == '\\\\n':\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n return '\\\\n'.join(content.split('\\\\n')[1:]).rstrip('`')\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def ignorableWhitespace(self, data):\\n pass\",\n \"def cleanup_code(self, content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def cleanup_code(content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def cleanup_code( content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def skipWhiteSpace(self):\\n pass\",\n \"def stripText(self, rawText):\\n strippedText = []\\n for line in rawText:\\n if line.rstrip():\\n if line[0] != '#':\\n strippedText.append(line.rstrip()) #also remove newline character\\n return strippedText\",\n \"def clean_lines(lines):\\n _lines = []\\n for l in lines:\\n l = l.strip().rstrip()\\n if len(l) > 0:\\n _lines.append(l)\\n return _lines\",\n \"def __stripEol(self, txt):\\n return txt.replace(\\\"\\\\r\\\", \\\"\\\").replace(\\\"\\\\n\\\", \\\"\\\")\",\n \"def cleaned_contents(self):\\n snip_with_code = re.compile(\\\"(//.*snip(\\\\-file)*:?.*\\\\n)(\\\\+\\\\n)?(\\\\[.*\\\\]\\\\n)*----\\\\n(.*\\\\n)*?----\\\\n\\\", flags=re.IGNORECASE)\\n cleaned = re.sub(snip_with_code, r'\\\\1', self.contents)\\n return cleaned\",\n \"def emptyline(self):\",\n \"def contents_without_whitespace(self):\\n return self.contents.replace(' ', '').replace('\\\\n', '')\",\n \"def _get_cleaned_script(self, script):\\n script = self._add_uuids(script)\\n splitted_script = script.split('\\\\n')\\n code_lines = []\\n for line in splitted_script:\\n if line.strip() != '':\\n code_lines.append(line)\\n for i, line in enumerate(code_lines):\\n if line[0] != '\\\\t' and line[0] != ' ':\\n code_lines[i] = '\\\\n' + line\\n script = '\\\\n'.join(code_lines) + '\\\\n'\\n return script\",\n \"def _strip(lines: Sequence[str]) -> Sequence[str]:\\n lines = [i.rstrip() for i in lines]\\n return lines\",\n \"def __clean_line_comments(self):\\n self.lines = [l for l in self.lines if not l.startswith(\\\"//\\\") and len(l) != 0]\",\n \"def __clean_line_comments(self):\\n self.lines = [l for l in self.lines if not l.startswith(\\\"//\\\") and len(l) != 0]\",\n \"def cleanup_code(content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def test_file_iterator_removes_all_whitespace(self):\\n for line in file_iterator('example_module.py'):\\n self.assertEqual(line, line.strip())\",\n \"def remove_tab_space(self):\\n self.result_code = open(\\\"result.c\\\", \\\"r\\\") # Opening the intermediate file in 'read' mode.\\n self.line_array = self.result_code.readlines() # Obtaining an array of strings, where each string is a line from the intermediate file.\\n self.result_code.close() # Closing the intermediate file.\\n\\n self.result_code = open(\\\"result.c\\\", \\\"w\\\") # Opening the intermediate file in 'write' mode.\\n # Looping over all the lines in the input file.\\n for line in self.line_array:\\n # Checking if the line begins with a white space.\\n if line[0] == \\\" \\\":\\n # Checking from which position the code begins over a loop, in order to remove the tab space.\\n for c in range(1, len(line)):\\n if line[c] != \\\" \\\":\\n index = c # Making note of the position from which the code begins in the line.\\n break\\n self.result_code.write(line[index:]) # Writing the line without the tab space into the intermediate file.\\n else:\\n self.result_code.write(line) # Writing the entire line into the intermediate file in case there is no tab space at the beginning.\\n\\n self.result_code.close() # Closing the intermediate file.\",\n \"def remove_empty_lines(filename):\\r\\n with open(filename, 'r+') as f:\\r\\n lines = f.readlines()\\r\\n f.seek(0)\\r\\n f.writelines(line for line in lines if line.strip())\\r\\n f.truncate()\",\n \"def rstrip(self) -> String:\\n pass\",\n \"def clean_file(file_contents):\\n commentless_file = _strip_comments(file_contents)\\n assembly_code = _remove_whitespace(commentless_file)\\n return assembly_code\",\n \"def strip_trailing_spaces(self):\\n for paragraph in self.paragraphs:\\n for item in paragraph:\\n lines = paragraph[item].split(\\\"\\\\n\\\")\\n paragraph[item] = \\\"\\\\n\\\".join([l.rstrip() for l in lines])\",\n \"def clean(text):\\n lines = text.split('\\\\n')\\n\\n indx = range(len(lines))\\n indx.reverse()\\n for i in indx:\\n temp = lines[i].strip()\\n if temp == '' or temp.startswith('#'):\\n del lines[i]\\n else:\\n lines[i] = temp\\n\\n return lines\",\n \"def strip_whitespace(self, text):\\n\\t\\treturn text.strip()\",\n \"def cleanup (text) :\\n l_idx = 1\\n lines = text.split ('\\\\n')\\n\\n # count leading non-empty lines\\n for line in lines :\\n if not line.strip () :\\n l_idx += 1\\n else :\\n break\\n\\n # check if there is anything more to evaluate\\n if len (lines) <= l_idx :\\n return text\\n\\n # determine indentation of that line\\n indent = 0\\n for c in lines[l_idx] :\\n if c == ' ' :\\n indent += 1\\n else : \\n break\\n\\n # if nothing found, check the following line\\n if not indent :\\n\\n if len (lines) <= l_idx + 1:\\n return text\\n for c in lines[l_idx + 1] :\\n if c == ' ' :\\n indent += 1\\n else : \\n break\\n\\n # if still nothing found, give up\\n if not indent :\\n return text\\n\\n\\n # oitherwise trim all lines by that indentation\\n out = \\\"\\\"\\n replace = ' ' * indent\\n for line in lines :\\n out += re.sub (\\\"%s\\\" % ' ' * indent, \\\"\\\", line)\\n out += \\\"\\\\n\\\"\\n\\n return out\",\n \"def lstrip(self) -> String:\\n pass\",\n \"def clean_comments(self):\\n new_lines = list()\\n for line in self.lines:\\n if ((not line.startswith(\\\"//\\\")) & (not line.isspace()) &\\n (not line.startswith(\\\"/*\\\") & (not line.startswith(\\\"*/\\\")))):\\n line = Parser.strip_line(line)\\n new_lines.append(line)\\n self.lines = new_lines\",\n \"def strip_space():\\n pass\",\n \"def _remove_whitespace(file_contents):\\n whitespace_stripped = [line.strip() for line in file_contents]\\n return [line for line in whitespace_stripped if line != \\\"\\\"]\",\n \"def test_file_iterator_removes_leading_whitespace(self):\\n for line in file_iterator('example_module.py'):\\n self.assertFalse(line.startswith(' '))\",\n \"def remove_excess_white_space(lines: str):\\n two_plus_white_space = r\\\"\\\\s{2,}\\\"\\n return re.sub(two_plus_white_space, \\\"\\\", lines)\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def emptyline(self):\\n pass\",\n \"def remove_psuedoinstructions(file_contents):\\n return [line for line in file_contents if not line.startswith(\\n PSUEDOINSTRUCTION_INDICATOR)]\",\n \"def remove_whitespaces(text: str) -> str:\\n return text.lstrip().rstrip()\",\n \"def strip_warnings(self, line):\\n if line[0] == \\\"|\\\":\\n return \\\"\\\"\\n else:\\n return line\",\n \"def _chop_end_codes(line):\\n return re.sub(r\\\"\\\\s\\\\s\\\\s\\\\s+[\\\\w]{4}.\\\\s+\\\\d*\\\\Z\\\", \\\"\\\", line)\",\n \"def test_remove_blank_lines(self):\\n before_b = \\\"\\\"\\\"\\\\\\n first line\\n\\n line 1\\n line a\\n line b\\n\\n line c\\n last line\\n \\\"\\\"\\\"\\n after_b = \\\"\\\"\\\"\\\\\\n first line\\n line 1\\n line a\\n line b\\n line c\\n last line\\n \\\"\\\"\\\"\\n self.run_test(\\n before_b=before_b,\\n after_b=after_b,\\n before_sel=(\\\"1.0\\\", \\\"9.0\\\"),\\n after_sel=(\\\"1.0\\\", \\\"6.9\\\"),\\n command_name=\\\"remove-blank-lines\\\",\\n )\",\n \"def filter_blanks(user, str):\\n return re.sub(r'\\\\n{2}\\\\n+', '\\\\n', str)\",\n \"def remove_blanks_list(src):\\n return [el for el in src if el]\",\n \"def clean(source_name):\\n with open(source_name, 'r') as f:\\n text = f.read()\\n text_list = re.split('; |, |\\\\n| |\\\\!|\\\\?', text)\\n if '' in text_list:\\n text_list = list(filter(lambda x: x != \\\" \\\" and x != \\\"\\\", text_list))\\n return text_list\",\n \"def _trim(self, docstring):\\n if not docstring:\\n return ''\\n # Convert tabs to spaces (following the normal Python rules)\\n # and split into a list of lines:\\n lines = docstring.expandtabs().splitlines()\\n # Determine minimum indentation (first line doesn't count):\\n indent = sys.maxsize\\n for line in lines[1:]:\\n stripped = line.lstrip()\\n if stripped:\\n indent = min(indent, len(line) - len(stripped))\\n # Remove indentation (first line is special):\\n trimmed = [lines[0].strip()]\\n if indent < sys.maxsize:\\n for line in lines[1:]:\\n trimmed.append(line[indent:].rstrip())\\n # Strip off trailing and leading blank lines:\\n while trimmed and not trimmed[-1]:\\n trimmed.pop()\\n while trimmed and not trimmed[0]:\\n trimmed.pop(0)\\n # Return a single string:\\n return '\\\\n'.join(trimmed)\",\n \"def clean_data(self):\\n for line in self.file:\\n if line.startswith('//') or line.isspace():\\n continue\\n if '//' in line:\\n line = line.split('//')[0]\\n line = line.replace('\\\\n', '')\\n line = line.replace(' ','')\\n self.commands.append(line)\",\n \"def emptyline(self):\\n self.do_ls(\\\"\\\")\",\n \"def emptyline(self):\\n return\",\n \"def emptyline(self):\\n return\",\n \"def clean_whitespace(text):\\n return text\\n #return re.sub(r'\\\\r\\\\n|\\\\n', \\\"\\\\t\\\", text)\",\n \"def nonempty_lines(text):\\n return [line for line in text.split('\\\\n') if line]\",\n \"def __remove_line_numbers(file_contents: str) -> str:\\n\\n spaces = ' ' * 6\\n result = ''\\n\\n for line in file_contents.splitlines():\\n new_line = spaces + line[6:72].rstrip()\\n result += new_line + '\\\\n'\\n\\n return result\",\n \"def clean_code(code):\\n return code\",\n \"def prepare_file(lines):\\n return \\\" \\\".join(line.strip() for line in lines)\",\n \"def strip(notebook):\\n for cell in notebook.cells:\\n if cell.cell_type == 'code':\\n cell.outputs = []\\n cell.execution_count = None\",\n \"def remove_empty_lines(file_name):\\n removed_lines = 0\\n with open(file_name, mode=\\\"r\\\", encoding=\\\"utf-8\\\") as fd:\\n with open(get_output_file(file_name), mode=\\\"w\\\", encoding=\\\"utf-8\\\") as ofd:\\n for line in fd.readlines():\\n if re.search(\\\"^$\\\", line):\\n removed_lines += 1\\n else:\\n ofd.write(line)\\n print(\\\"Removed lines: {}\\\".format(removed_lines))\",\n \"def ostrip(thefile):\\n outlines = []\\n with open(thefile, 'r') as f:\\n for line in f:\\n if line[0] != '%':\\n if '%' in line:\\n if r'\\\\%' in line or line[-1] == '%':\\n outlines.append(line) # these are not real comments\\n else:\\n outlines.append(line.split(' %')[0]+'\\\\n')\\n else:\\n outlines.append(line)\\n return outlines\",\n \"def _unmunge_multiline_jinja2(lines):\\n start_slug = \\\"# {# \\\" + JINJA2_ML_SLUG\\n start = len(start_slug)\\n stop = len(\\\" #}\\\\n\\\")\\n new_lines = []\\n for line in lines:\\n if line.startswith(start_slug):\\n new_lines.append(line[start:-stop] + \\\"\\\\n\\\")\\n else:\\n new_lines.append(line)\\n return new_lines\",\n \"def no_blank_line_after_last_section(): # noqa: D416\",\n \"def strip_text(text):\\n\\n return [line.strip() for line in text.splitlines()]\",\n \"def strip(self, src):\\r\\n # single-quoted character\\r\\n p = \\\"('.')\\\"\\r\\n \\r\\n # double-quoted string\\r\\n p += \\\"|(\\\\\\\"(?:[^\\\\\\\"\\\\\\\\\\\\\\\\]|\\\\\\\\\\\\\\\\.)*\\\\\\\")\\\"\\r\\n \\r\\n # single and multi-line comment\\r\\n p += \\\"|(//.*?$)|(/\\\\\\\\*[^*]*(?:\\\\\\\\*(?!/)[^*]*)*\\\\\\\\*/)\\\"\\r\\n \\r\\n # pre-processor directive\\r\\n p += \\\"|\\\" + \\\"(^\\\\\\\\s*#.*?$)\\\"\\r\\n\\r\\n regex = re.compile(p, re.MULTILINE)\\r\\n return regex.sub(' ', src)\",\n \"def maybe_remove_new_line(code):\\n lines = code.split(\\\"\\\\n\\\")\\n\\n if lines[0] in [\\\"py\\\", \\\"python\\\"]:\\n # add new line before last line being ```\\n lines = lines[:-2] + lines[-1:]\\n\\n return \\\"\\\\n\\\".join(lines)\",\n \"def removeSingleChars(self) -> None:\\n self.text = re.sub('\\\\s[^\\\\n\\\\s]\\\\s', ' ', self.text)\",\n \"def remove_empty_lines(self, string_list):\\r\\n string_list2 = []\\r\\n for strn in string_list:\\r\\n if strn:\\r\\n line = strn.strip()\\r\\n if line == \\\"\\\":\\r\\n continue\\r\\n else:\\r\\n string_list2.append(line)\\r\\n return string_list2\",\n \"def _reset_leading_whitespace(self):\\n self._leading_whitespace = ''\",\n \"def _skip_whitespace(self):\\n whitespace_re = re.compile(r'\\\\s*')\\n return whitespace_re.match(self.body, self.pos).end()\",\n \"def _purify(self, line_str):\\n string = line_str.strip('\\\\n')\\n string = string.strip()\\n comment_idx = string.find('//')\\n if comment_idx == -1:\\n return string.strip()\\n elif comment_idx == 0:\\n return None\\n else:\\n return string[0:comment_idx].strip()\",\n \"def no_underline_and_no_newline(): # noqa: D416\",\n \"def rstrip_line(line):\\n return line.rstrip()\",\n \"def remove_unc(array):\\r\\n\\tnew_arr = []\\r\\n\\r\\n\\tdef checkForNewLineAndSemiColon(string):\\r\\n\\t\\t\\\"\\\"\\\"delete the new-line character and semi-colon from the string\\\"\\\"\\\"\\r\\n\\t\\tnew_string = \\\"\\\"\\r\\n\\t\\tfor i in string:\\r\\n\\t\\t\\tif i != \\\"\\\\n\\\" and i != \\\";\\\":\\r\\n\\t\\t\\t\\tnew_string += i\\r\\n\\t\\treturn new_string\\r\\n\\r\\n\\tfor i in range(len(array)):\\r\\n\\t\\tif array[i] != '' and array[i] != \\\"package\\\":\\r\\n\\t\\t\\tnew_arr.append(checkForNewLineAndSemiColon(array[i]))\\r\\n\\r\\n\\treturn new_arr[0]\",\n \"def remove_whitespace_rarity(s, i):\\n text = s.replace(' ', '')\\n if os.linesep.join([s for s in text.splitlines() if s]) == '':\\n return('None')\\n else:\\n return(os.linesep.join([s for s in text.splitlines() if s]))\",\n \"def strip_newlines(text):\\n return text.replace('\\\\n', ' ').replace('\\\\r', '').rstrip()\",\n \"def remove_curl_debug_lines(text: str) -> str:\\n lines = text.split(\\\"\\\\n\\\")\\n lines = [line for line in lines if not line.startswith(\\\"**\\\")]\\n return \\\"\\\\n\\\".join(lines)\",\n \"def clean_indent(txt):\\n return \\\"\\\\n\\\".join(x.strip() for x in txt.splitlines())\",\n \"def clean_header(klass, s):\\n return re.sub(r\\\"[\\\\n\\\\r\\\\t]+\\\", \\\" \\\", s).strip()\",\n \"def clean_inp(self):\\n self.E_str = \\\"clean_inp\\\"\\n\\n # First remove any comment lines\\n new_ltxt = []\\n for line_num, line in enumerate(self.file_ltxt):\\n edit_line, comment = gen_parse.rm_comment_from_line(line)\\n edit_line = edit_line.rstrip()\\n if edit_line:\\n new_ltxt.append(edit_line)\\n self.file_ltxt = new_ltxt[:]\\n\\n # Get line nums for error messages -before the inp cleaning\\n self.line_nums = list(range(1, len(self.file_ltxt)+1))\\n for line_num in self.line_nums:\\n self.file_ltxt_orig[line_num] = self.file_ltxt[line_num - 1]\\n self.line_num = 0\\n\\n self.clean_open_close_brace()\",\n \"def list_strip(line: list):\\n new_line = [field.strip() for field in line]\\n if new_line != line:\\n tpl = \\\"Removed trailing whitespaces in fields of line: {}\\\"\\n msg = tpl.format(line)\\n warnings.warn(msg, ParseIsatabWarning)\\n return new_line\",\n \"def _sanitize(text):\\n # TODO: any cleanup needed here?\\n if text is None:\\n return None\\n text = text.replace('\\\\n', ' ')\\n return text\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7114437","0.70919764","0.7068101","0.68381476","0.6802601","0.6799396","0.6789069","0.66894","0.66618234","0.66358346","0.6598233","0.6583519","0.6565634","0.6527385","0.6515068","0.6499719","0.64757967","0.64706796","0.6467208","0.6441668","0.6440686","0.643431","0.6430323","0.64226955","0.64226955","0.6420396","0.6400788","0.63433003","0.633698","0.6335082","0.6310171","0.62877697","0.6281884","0.62523764","0.6248172","0.62476593","0.6242683","0.62370265","0.6220258","0.6216033","0.6215483","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6208205","0.6188429","0.61845666","0.61692584","0.61530954","0.6152583","0.6106047","0.6105662","0.609959","0.608714","0.6085406","0.6063757","0.60496235","0.60496235","0.6044162","0.6026976","0.60070664","0.6005833","0.59883356","0.5985926","0.59854496","0.59830076","0.5982913","0.5981406","0.5978803","0.5976542","0.59763354","0.5976014","0.59721833","0.59613717","0.59575087","0.5953442","0.5952412","0.59472567","0.59294045","0.5924408","0.59230465","0.59177685","0.5914652","0.5900389","0.5877675","0.5876662","0.58663875"],"string":"[\n \"0.7114437\",\n \"0.70919764\",\n \"0.7068101\",\n \"0.68381476\",\n \"0.6802601\",\n \"0.6799396\",\n \"0.6789069\",\n \"0.66894\",\n \"0.66618234\",\n \"0.66358346\",\n \"0.6598233\",\n \"0.6583519\",\n \"0.6565634\",\n \"0.6527385\",\n \"0.6515068\",\n \"0.6499719\",\n \"0.64757967\",\n \"0.64706796\",\n \"0.6467208\",\n \"0.6441668\",\n \"0.6440686\",\n \"0.643431\",\n \"0.6430323\",\n \"0.64226955\",\n \"0.64226955\",\n \"0.6420396\",\n \"0.6400788\",\n \"0.63433003\",\n \"0.633698\",\n \"0.6335082\",\n \"0.6310171\",\n \"0.62877697\",\n \"0.6281884\",\n \"0.62523764\",\n \"0.6248172\",\n \"0.62476593\",\n \"0.6242683\",\n \"0.62370265\",\n \"0.6220258\",\n \"0.6216033\",\n \"0.6215483\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6208205\",\n \"0.6188429\",\n \"0.61845666\",\n \"0.61692584\",\n \"0.61530954\",\n \"0.6152583\",\n \"0.6106047\",\n \"0.6105662\",\n \"0.609959\",\n \"0.608714\",\n \"0.6085406\",\n \"0.6063757\",\n \"0.60496235\",\n \"0.60496235\",\n \"0.6044162\",\n \"0.6026976\",\n \"0.60070664\",\n \"0.6005833\",\n \"0.59883356\",\n \"0.5985926\",\n \"0.59854496\",\n \"0.59830076\",\n \"0.5982913\",\n \"0.5981406\",\n \"0.5978803\",\n \"0.5976542\",\n \"0.59763354\",\n \"0.5976014\",\n \"0.59721833\",\n \"0.59613717\",\n \"0.59575087\",\n \"0.5953442\",\n \"0.5952412\",\n \"0.59472567\",\n \"0.59294045\",\n \"0.5924408\",\n \"0.59230465\",\n \"0.59177685\",\n \"0.5914652\",\n \"0.5900389\",\n \"0.5877675\",\n \"0.5876662\",\n \"0.58663875\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.68966925"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":4779,"cells":{"query":{"kind":"string","value":"Strips comments from the code"},"document":{"kind":"string","value":"def strip_comments(blob, delim='#'):\n lines = blob.split('\\n')\n return '\\n'.join([line for line in lines if line.strip()[0] != delim])"},"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 _removeComments(code):\r\n # remove all occurance streamed comments (/*COMMENT */) from string\r\n text = re.sub(re.compile('/\\*.*?\\*/', re.DOTALL), '', code)\r\n # remove all occurance singleline comments (//COMMENT\\n ) from string\r\n return re.sub(re.compile('//.*?\\n'), '', text)","def remove_comments(s):\n return \"\\n\".join(l for l in s.strip().split(\"\\n\") if not l.strip().startswith(\"#\"))","def remove_comments(ls):\r\n for i in range(len(ls)):\r\n ls[i] = re.sub(r'//.*', '', ls[i])\r\n\r\n return ls","def remove_comments(line):\n hashPos = line.find('#')\n return line[:hashPos] if hashPos >= 0 else line","def remove_comments(html):\n return re.sub(r\"<!--.*?-->\", \" \", html)","def strip_comments(line):\n if \"#\" in line:\n return line[:line.find(\"#\")]\n else:\n return line","def clean_comments(self):\n new_lines = list()\n for line in self.lines:\n if ((not line.startswith(\"//\")) & (not line.isspace()) &\n (not line.startswith(\"/*\") & (not line.startswith(\"*/\")))):\n line = Parser.strip_line(line)\n new_lines.append(line)\n self.lines = new_lines","def DropComment(text):\n grp = re.compile(r'/\\*[^/]*\\*/').split(text)\n result = string.join(grp);\n grp = re.compile(r'//.*').split(result);\n result = string.join(grp);\n #result = string.join(result.split('\\n')) #remove the line break\n return(' '+result);","def removeHtmlComments(self, text):\n sb = []\n start = text.find(u'<!--')\n last = 0\n while start != -1:\n end = text.find(u'-->', start)\n if end == -1:\n break\n end += 3 \n \n spaceStart = max(0, start-1)\n spaceEnd = end\n while text[spaceStart] == u' ' and spaceStart > 0:\n spaceStart -= 1\n while text[spaceEnd] == u' ':\n spaceEnd += 1\n \n if text[spaceStart] == u'\\n' and text[spaceEnd] == u'\\n':\n sb.append(text[last:spaceStart])\n sb.append(u'\\n')\n last = spaceEnd+1\n else:\n sb.append(text[last:spaceStart+1])\n last = spaceEnd\n \n start = text.find(u'<!--', end)\n sb.append(text[last:])\n return u''.join(sb)","def __clean_line_comments(self):\n self.lines = [l for l in self.lines if not l.startswith(\"//\") and len(l) != 0]","def __clean_line_comments(self):\n self.lines = [l for l in self.lines if not l.startswith(\"//\") and len(l) != 0]","def _strip_comments(file_contents):\n lines_without_comments = []\n for line in file_contents:\n comment_position = line.find(COMMENT_INDICATOR)\n if comment_position != -1:\n lines_without_comments.append(line[:comment_position])\n else:\n lines_without_comments.append(line)\n return lines_without_comments","def strip_comments(source):\n\n tokens = (\n 'PERCENT',\n 'BEGINCOMMENT', 'ENDCOMMENT',\n 'BACKSLASH',\n 'CHAR',\n 'BEGINVERBATIM', 'ENDVERBATIM',\n 'BEGINLISTING', 'ENDLISTING',\n 'NEWLINE',\n 'ESCPCT',\n )\n states = (\n ('linecomment', 'exclusive'),\n ('commentenv', 'exclusive'),\n ('verbatim', 'exclusive'),\n ('listing', 'exclusive'),\n )\n\n #Deal with escaped backslashes, so we don't think they're escaping %.\n def t_BACKSLASH(t):\n r\"\\\\\\\\\"\n return t\n\n #One-line comments\n def t_PERCENT(t):\n r\"\\%\"\n t.lexer.begin(\"linecomment\")\n return None\n\n #Escaped percent signs\n def t_ESCPCT(t):\n r\"\\\\\\%\"\n return t\n\n #Comment environment, as defined by verbatim package\n def t_BEGINCOMMENT(t):\n r\"\\\\begin\\s*{\\s*comment\\s*}\"\n t.lexer.begin(\"commentenv\")\n return None\n\n #Verbatim environment (different treatment of comments within)\n def t_BEGINVERBATIM(t):\n r\"\\\\begin\\s*{\\s*verbatim\\s*}\"\n t.lexer.begin(\"verbatim\")\n return t\n\n #Listings environment (different treatment of comments within)\n def t_BEGINLISTING(t):\n r\"\\\\begin\\s*{\\s*lstlisting\\s*}\"\n t.lexer.begin(\"listing\")\n return t\n\n #Any other character in initial state we leave alone\n def t_CHAR(t):\n r\".\"\n return t\n\n def t_NEWLINE(t):\n r\"\\n\"\n return t\n\n #End comment environment\n def t_commentenv_ENDCOMMENT(t):\n r\"\\\\end\\s*{\\s*comment\\s*}\"\n #Anything after \\end{comment} on a line is ignored!\n t.lexer.begin('linecomment')\n return None\n\n #Ignore comments of comment environment\n def t_commentenv_CHAR(t):\n r\".\"\n return None\n\n def t_commentenv_NEWLINE(t):\n r\"\\n\"\n return None\n\n #End of verbatim environment\n def t_verbatim_ENDVERBATIM(t):\n r\"\\\\end\\s*{\\s*verbatim\\s*}\"\n t.lexer.begin('INITIAL')\n return t\n\n #End of listing environment\n def t_listing_ENDLISTING(t):\n r\"\\\\end\\s*{\\s*lstlisting\\s*}\"\n t.lexer.begin('INITIAL')\n return t\n\n #Leave contents of verbatim/listing environment alone\n def t_verbatim_listing_CHAR(t):\n r\".\"\n return t\n\n def t_verbatim_listing_NEWLINE(t):\n r\"\\n\"\n return t\n\n\n #End a % comment when we get to a new line\n def t_linecomment_ENDCOMMENT(t):\n r\"\\n\"\n t.lexer.begin(\"INITIAL\")\n #Newline at the end of a line comment is stripped.\n return None\n\n #Ignore anything after a % on a line\n def t_linecomment_CHAR(t):\n r\".\"\n return None\n\n #Print errors\n def t_ANY_error(t):\n print(t.value, file=sys.stderr)\n\n lexer = ply.lex.lex()\n lexer.input(source)\n return u\"\".join([tok.value for tok in lexer])","def decomment_and_normalize(s):\n index = s.find(inline_comment_start)\n if index != -1:\n s = s[0:index]\n return s.strip(inline_whitespace)","def clean_comment(line):\n if line.startswith(\"#!\"):\n line = line[2:]\n else:\n line = line[1:]\n if line.startswith(\" \"):\n line = line[1:]\n if not line.endswith('\\n'):\n line += '\\n'\n return line","def _purify(self, line_str):\n string = line_str.strip('\\n')\n string = string.strip()\n comment_idx = string.find('//')\n if comment_idx == -1:\n return string.strip()\n elif comment_idx == 0:\n return None\n else:\n return string[0:comment_idx].strip()","def remove_comments(code):\n state = ReadState.NORMAL\n escape = False\n result = ''\n i = 0\n while i < (len(code)):\n c = code[i]\n if state == ReadState.NORMAL:\n if c == '\"':\n state = ReadState.STRING\n escape = False\n if i + 1 < len(code):\n if c + code[i + 1] == '//':\n state = ReadState.SINGLE_COMMENT\n i += 2\n continue\n if c + code[i + 1] == '/*':\n state = ReadState.MULTI_COMMENT\n i += 2\n continue\n result += c\n elif state == ReadState.STRING:\n if escape:\n escape = False\n else:\n if c == '\"':\n state = ReadState.NORMAL\n if c == '\\\\':\n escape = True\n result += c\n elif state == ReadState.SINGLE_COMMENT:\n if c == '\\n':\n state = ReadState.NORMAL\n result += c\n elif state == ReadState.MULTI_COMMENT:\n if i + 1 < len(code):\n if c + code[i + 1] == '*/':\n state = ReadState.NORMAL\n i += 1\n i += 1\n return result","def cleanup_comments(comments):\n clean_comments = []\n\n if comments:\n for comment in comments:\n cleaned_up = sub(r'\\n\\n {8}\\n {8}\\n {12}\\n {16}\\n {16}\\n {12}\\nEdit', '', comment)\n clean_comments.append(cleaned_up)\n\n return clean_comments","def decomment(string):\n pattern = r\"//.*|/\\*[\\s\\S]*?\\*/|(\\\"(\\\\.|[^\\\"])*\\\"|'(\\\\.|[^\\'])*')\"\n regex = re.compile(pattern)\n return regex.sub(lambda m: m.group(1), string)","def comment():","def strip_docstring(blob):\n docstring = True\n while docstring == True:\n match_docstring = re.search('\\n\\s*\"\"\"[^\"\"\"]*\"\"\"', blob)\n if not match_docstring:\n docstring = False\n else:\n blob = blob.replace(blob[match_docstring.span()[0]:match_docstring.span()[1]], '')\n return blob","def comment_remover(text):\n\n def replacer(match):\n s = match.group(0)\n if s.startswith(\"/\"):\n return \"\"\n else:\n return s\n\n pattern = re.compile(\n r'//.*?$|/\\*.*?\\*/|\\'(?:\\\\.|[^\\\\\\'])*\\'|\"(?:\\\\.|[^\\\\\"])*\"',\n re.DOTALL | re.MULTILINE,\n )\n return re.sub(pattern, replacer, text)","def remove_paired_comments(self, program):\n regions = re.compile(\"(/\\*|\\*/)\").split(program)\n depth = 0\n output = []\n for i in range(len(regions)):\n region = regions[i]\n if region==\"/*\":\n depth+=1\n elif region==\"*/\":\n depth-=1\n else:\n #print(\" \"*depth, region.replace(\"\\n\", \"_\"))\n if depth==0:\n output.append(region)\n return \"\".join(output)","def split_comment(cls, code):\r\n if '#' not in code: return code\r\n #: Remove comments only (leave quoted strings as they are)\r\n subf = lambda m: '' if m.group(0)[0]=='#' else m.group(0)\r\n return re.sub(cls.re_pytokens, subf, code)","def remove_comment_header(code):\n # get the line number when the comment header ends (incl. empty lines)\n ln_pos = 0\n for line in code.splitlines(True):\n if re.match(r\"[ \\t]*(%|\\n)\", line):\n ln_pos += 1\n else:\n break\n\n if ln_pos > 0:\n # remove the header block and empty lines from the top of the code\n try:\n code = code.split(\"\\n\", ln_pos)[ln_pos:][0]\n except IndexError:\n # only header and empty lines.\n code = \"\"\n\n return code","def comment_content(c):\n content = str(c)[4:-3]\n return content.strip()","def remove_comments_and_docstrings(source):\n io_obj = StringIO(source)\n out = \"\"\n prev_toktype = tokenize.INDENT\n last_lineno = -1\n last_col = 0\n for tok in tokenize.generate_tokens(io_obj.readline):\n token_type = tok[0]\n token_string = tok[1]\n start_line, start_col = tok[2]\n end_line, end_col = tok[3]\n ltext = tok[4]\n # The following two conditionals preserve indentation.\n # This is necessary because we're not using tokenize.untokenize()\n # (because it spits out code with copious amounts of oddly-placed\n # whitespace).\n if start_line > last_lineno:\n last_col = 0\n if start_col > last_col:\n out += (\" \" * (start_col - last_col))\n # Remove comments:\n if token_type == tokenize.COMMENT:\n pass\n # This series of conditionals removes docstrings:\n elif token_type == tokenize.STRING:\n if prev_toktype != tokenize.INDENT:\n # This is likely a docstring; double-check we're not inside an operator:\n if prev_toktype != tokenize.NEWLINE:\n # Note regarding NEWLINE vs NL: The tokenize module\n # differentiates between newlines that start a new statement\n # and newlines inside of operators such as parens, brackes,\n # and curly braces. Newlines inside of operators are\n # NEWLINE and newlines that start new code are NL.\n # Catch whole-module docstrings:\n if start_col > 0:\n # Unlabelled indentation means we're inside an operator\n out += token_string\n # Note regarding the INDENT token: The tokenize module does\n # not label indentation inside of an operator (parens,\n # brackets, and curly braces) as actual indentation.\n # For example:\n # def foo():\n # \"The spaces before this docstring are tokenize.INDENT\"\n # test = [\n # \"The spaces before this string do not get a token\"\n # ]\n\n else:\n out += token_string\n prev_toktype = token_type\n last_col = end_col\n last_lineno = end_line\n out = '\\n'.join([line for line in out.splitlines() if line.strip()])\n return out","def comment_stripper(iterator):\n for line in iterator:\n if line [:1] == '#':\n continue\n if not line.strip ():\n continue\n yield line","def test_remove_single_line_comments_noannotation():\n\n\tinput_ = \"\"\"line1\n\t\t\t\tline2 \n\t\t\t\t//comment\n\t\t\t\tline3 \"\"\"\n\n\texpect = \"\"\"line1\n\t\t\t\tline2 \n\t\t\t\t\n\t\t\t\tline3 \"\"\"\n\n\tassert aunit.remove_single_line_comments(input_) == expect","def _dump_comment(comment: List[str]) -> List[str]:\n return [\"/**\"] + comment + [\"*/\"]","def remove_comments(css):\n log.debug(\"Removing all Comments.\")\n iemac, preserve = False, False\n comment_start = css.find(\"/*\")\n while comment_start >= 0: # Preserve comments that look like `/*!...*/`.\n # Slicing is used to make sure we dont get an IndexError.\n preserve = css[comment_start + 2:comment_start + 3] == \"!\"\n comment_end = css.find(\"*/\", comment_start + 2)\n if comment_end < 0:\n if not preserve:\n css = css[:comment_start]\n break\n elif comment_end >= (comment_start + 2):\n if css[comment_end - 1] == \"\\\\\":\n # This is an IE Mac-specific comment; leave this one and the\n # following one alone.\n comment_start = comment_end + 2\n iemac = True\n elif iemac:\n comment_start = comment_end + 2\n iemac = False\n elif not preserve:\n css = css[:comment_start] + css[comment_end + 2:]\n else:\n comment_start = comment_end + 2\n comment_start = css.find(\"/*\", comment_start)\n return css","def strip_comments(tokens):\n prev_typ = None\n prev_end_col = 0\n for typ, tok, (start_row, start_col), (end_row, end_col), line in tokens:\n if typ in (tokenize.NL, tokenize.NEWLINE):\n if prev_typ in (tokenize.NL, tokenize.NEWLINE):\n start_col = 0\n else:\n start_col = prev_end_col\n end_col = start_col + 1\n elif typ == tokenize.COMMENT and start_row > 2:\n continue\n prev_typ = typ\n prev_end_col = end_col\n yield typ, tok, (start_row, start_col), (end_row, end_col), line","def remove_c_style_comments(fd):\n ret = []\n comment_state = False\n for line in fd:\n while True:\n # seems we have nothing left\n if len(line) < 2:\n break\n # we're still inside a comment\n if comment_state:\n idx = line.find(\"*/\")\n if idx > -1:\n line = line[idx + 2:]\n comment_state = False\n continue\n # comment doesn't seem to end on this line\n break\n # we're not inside any comment\n else:\n idx = line.find(\"/*\")\n if idx > -1:\n line = line[idx + 2:]\n comment_state = True\n continue\n if \"//\" in line:\n line = line.split(\"//\", 1)[0]\n # only now we can actually do our job\n line = line.strip()\n if len(line) > 0:\n ret.append(line)\n break\n return ret","def _StripCommentFromLine(line):\n\n m = re.match(r'(.*)//', line)\n if m:\n return m.group(1).strip() + '\\n'\n else:\n return line","def strip_comments(string, comment_symbols=frozenset(('#', '//'))): # pragma: no cover\n lines = string.splitlines()\n for k in range(len(lines)):\n for symbol in comment_symbols:\n lines[k] = strip_comment_line_with_symbol(lines[k], start=symbol)\n return '\\n'.join(lines)","def remove_starting_comments(sql: str) -> str:\n commentless_sql = sql\n while True:\n start_comment = COMMENT_START_SQL_RE.match(commentless_sql)\n if start_comment is None:\n break\n commentless_sql = commentless_sql[start_comment.end() :]\n return commentless_sql","def deleteComments(self: Self, event: Event = None) -> None:\n #@+<< deleteComments docstring >>\n #@+node:ekr.20171123135625.37: *3* << deleteComments docstring >>\n #@@pagewidth 50\n #@-<< deleteComments docstring >>\n c, p, u, w = self, self.p, self.undoer, self.frame.body.wrapper\n #\n # \"Before\" snapshot.\n bunch = u.beforeChangeBody(p)\n #\n # Initial data.\n head, lines, tail, oldSel, oldYview = self.getBodyLines()\n if not lines:\n g.warning('no text selected')\n return\n # The default language in effect at p.\n language = c.frame.body.colorizer.scanLanguageDirectives(p)\n if c.hasAmbiguousLanguage(p):\n language = c.getLanguageAtCursor(p, language)\n d1, d2, d3 = g.set_delims_from_language(language)\n #\n # Calculate the result.\n changed, result = False, []\n if d1:\n # Remove the single-line comment delim in front of each line\n d1b = d1 + ' '\n n1, n1b = len(d1), len(d1b)\n for s in lines:\n i = g.skip_ws(s, 0)\n if g.match(s, i, d1b):\n result.append(s[:i] + s[i + n1b :])\n changed = True\n elif g.match(s, i, d1):\n result.append(s[:i] + s[i + n1 :])\n changed = True\n else:\n result.append(s)\n else:\n # Remove the block comment delimiters from each line.\n n2, n3 = len(d2), len(d3)\n for s in lines:\n i = g.skip_ws(s, 0)\n j = s.find(d3, i + n2)\n if g.match(s, i, d2) and j > -1:\n first = i + n2\n if g.match(s, first, ' '):\n first += 1\n last = j\n if g.match(s, last - 1, ' '):\n last -= 1\n result.append(s[:i] + s[first:last] + s[j + n3 :])\n changed = True\n else:\n result.append(s)\n if not changed:\n return\n #\n # Set p.b and w's text first.\n middle = ''.join(result)\n p.b = head + middle + tail # Sets dirty and changed bits.\n w.setAllText(head + middle + tail)\n #\n # Set the selection range and scroll position.\n i = len(head)\n j = ins = max(i, len(head) + len(middle) - 1)\n w.setSelectionRange(i, j, insert=ins)\n w.setYScrollPosition(oldYview)\n #\n # \"after\" snapshot.\n u.afterChangeBody(p, 'Indent Region', bunch)","def ostrip(thefile):\n outlines = []\n with open(thefile, 'r') as f:\n for line in f:\n if line[0] != '%':\n if '%' in line:\n if r'\\%' in line or line[-1] == '%':\n outlines.append(line) # these are not real comments\n else:\n outlines.append(line.split(' %')[0]+'\\n')\n else:\n outlines.append(line)\n return outlines","def strip_comments(string, comment_symbols=frozenset(('#', '//'))):\n lines = string.splitlines()\n for k in range(len(lines)):\n for symbol in comment_symbols:\n lines[k] = strip_comment_line_with_symbol(lines[k], start=symbol)\n return '\\n'.join(lines)","def filter_comments(asm_utf):\n comments = []\n # removes nones\n a = filter(lambda x: x != None, asm_utf)\n # splits on comment token\n comments = [re.split(\";\", line) for line in a]\n # takes only those that have a comment token\n comments = list(filter(lambda x: len(x) > 1, comments))\n # strips the whitespace from those tokens\n comments = [line[1].strip() for line in comments]\n # removes the singleton chars\n comments = list(filter(lambda x: len(x) > 1, comments))\n # regex to remove section markers and extraneous tabs\n # left over by poor reading of files\n comments = [re.sub('([-=].*[-=]|\\t)', '', line) for line in comments]\n comments = list(filter(lambda x: x != '', comments))\n return comments","def remove_html_comments(html): # Grunt uses comments to as build arguments, bad practice but still.\n log.debug(\"\"\"Removing all unnecessary HTML comments; Keep all containing:\n 'build:', 'endbuild', '<!--[if]>', '<![endif]-->' for Grunt/Grymt, IE.\"\"\")\n return re.compile('<!-- [^(build|endbuild)].*? -->', re.I).sub('', html)","def comment_remover(string):\n def replacer(match):\n s = match.group(0)\n if s.startswith('/'):\n return \" \" # note: a space and not an empty string\n else:\n return s\n pattern = re.compile(\n r'//.*?$|/\\*.*?\\*/|\\'(?:\\\\.|[^\\\\\\'])*\\'|\"(?:\\\\.|[^\\\\\"])*\"',\n re.DOTALL | re.MULTILINE\n )\n return re.sub(pattern, replacer, string)","def __remove_c_comments(self, line):\n new_chars = []\n i = 0\n while i < len(line):\n blocks = self.__ingest_c_block_comments(line, i)\n if blocks > 0:\n i += blocks\n continue\n\n whitespace = self.__ingest_whitespace(line, i)\n if whitespace > 0:\n new_chars.append(' ')\n i += whitespace\n continue\n\n comm_start = self.__ingest_c_comment_start(line, i)\n if comm_start == -1:\n new_chars.append(' ')\n break\n elif comm_start > 0:\n new_chars.append(' ')\n i += comm_start\n\n if blocks + whitespace + comm_start == 0:\n new_chars.append(line[i])\n i += 1\n\n new_line = ''.join(new_chars)\n return new_line","def remove_comments_from_line(self, line):\n comment_start = line.find('$')\n if (comment_start >= 0):\n line = line[:comment_start]\n return line.lower()","def remove_html_comment(html_data):\n html_data = re.compile('<!--(.*?)-->', re.MULTILINE|re.DOTALL).sub(\"\", html_data)\n return html_data","def getComments(source):\n\n markup = []\n for f in source:\n markup += extractMarkup(f)\n\n docs = collateDocs(markup)\n return docs","def __remove_fortran_comments(self, line):\n if self._in_block_comment:\n log.error('Before Fortran line is processed, in a block comment?')\n\n new_chars = []\n line_len = len(line)\n ignore_spaces = False\n for i in range(line_len):\n if line[i] == ' ':\n if not ignore_spaces:\n ignore_spaces = True\n new_chars.append(' ')\n elif line[i] == '!':\n new_chars.append(' ')\n break\n else:\n ignore_spaces = False\n new_chars.append(line[i])\n\n if self._in_block_comment:\n log.error('Processing Fortran comment left state in a block comment?')\n\n new_line = ''.join(new_chars)\n return new_line","def extract_comment_py():\n debug(\"extract comment from a python script.\")\n for line in CURRENT_BUFFER[:3]:\n if re.search(r\"coding[:=]\\s*([-\\w.]+)\", line):\n pattern = re.compile(r\"coding[:=]\\s*(?P<encoding>[-\\w.]+)\")\n globals()['ENCODING'] = pattern.search(line).group('encoding')\n debug(\"found encoding: %s\" % globals()['ENCODING'])\n\n lines = list(CURRENT_BUFFER)\n for (i, iline) in enumerate(lines[:10]):\n # find \"\"\" or ''' in the first few lines.\n if '\"\"\"' in iline or \"'''\" in iline:\n # find the end of it.\n breaker = '\"\"\"' if '\"\"\"' in iline else \"'''\"\n for j, jline in enumerate(lines[i+1:]):\n if breaker in jline:\n # found it, format the comment a little bit.\n if j == 0:\n # in the same line, this is a one line comment.\n return [jline[jline.index(breaker)+3:jline.rindex(breaker)]]\n else:\n lines[i] = lines[i][lines[i].index(breaker)+3:]\n lines[i+j+1] = lines[i+j+1][:lines[i+j+1].rindex(breaker)]\n return lines[i:i+j+1]\n else:\n # end of the comment is not found.\n return\n else:\n # comment might start with #\n return extract_comment_sh(python_style=True)","def unMarkupCommentsAndStrings(self, content):\n\n def replaceMarkups(match):\n groupdict = match.groupdict()\n if groupdict[\"str\"] is not None:\n return self.strings[int(match.group(\"str\"))]\n elif groupdict[\"comment\"] is not None:\n return self.comments[int(match.group(\"comment\"))]\n else:\n assert False\n\n unMarkedup = markups.sub(replaceMarkups, content)\n\n return unMarkedup","def skip_comments(filepointer):\n\tcomments = []\n\tdata = '#'\n\ttry:\n\t\tpos = filepointer.tell()\n\texcept:\n\t\tprint(\"Could not read file.\")\n\t\treturn None\t\n\t\n\twhile data[0] == '#':\n\t\tdata = filepointer.readline()\n\t\tif not data:\n\t\t\traise Exception(\"Unexpected end of file while reading comments.\")\n\n\t\tif data[0] == '#':\n\t\t\tcomments.append(data)\n\t\t\tpos = filepointer.tell()\n\t\telse:\n\t\t\tfilepointer.seek(pos)\n\treturn comments","def strip(self, src):\r\n # single-quoted character\r\n p = \"('.')\"\r\n \r\n # double-quoted string\r\n p += \"|(\\\"(?:[^\\\"\\\\\\\\]|\\\\\\\\.)*\\\")\"\r\n \r\n # single and multi-line comment\r\n p += \"|(//.*?$)|(/\\\\*[^*]*(?:\\\\*(?!/)[^*]*)*\\\\*/)\"\r\n \r\n # pre-processor directive\r\n p += \"|\" + \"(^\\\\s*#.*?$)\"\r\n\r\n regex = re.compile(p, re.MULTILINE)\r\n return regex.sub(' ', src)","def extract_comment_sh(python_style=False):\n if not python_style:\n debug(\"extract comment from a shell script.\")\n lines = list(CURRENT_BUFFER)\n if lines[0].startswith(\"#!\"):\n lines = lines[1:]\n\n if python_style and re.search(r\"coding[:=]\\s*([-\\w.]+)\", lines[0]):\n # strip encoding line.\n lines = lines[1:]\n\n for i, line in enumerate(lines):\n if not line.startswith(\"#\"):\n break\n else:\n i += 1\n return [line.lstrip(\"# \") for line in lines[:i]]","def _parse_comments(reader):\n regex = r'\\s*(#|\\/{2}).*$'\n regex_inline = r'(:?(?:\\s)*([A-Za-z\\d\\.{}]*)|((?<=\\\").*\\\"),?)(?:\\s)*(((#|(\\/{2})).*)|)$'\n\n pipe = []\n for line in reader:\n if re.search(regex, line):\n if re.search(r'^' + regex, line, re.IGNORECASE): continue\n elif re.search(regex_inline, line):\n pipe.append(re.sub(regex_inline, r'\\1', line))\n else:\n pipe.append(line)\n return \"\\n\".join(pipe)","def dedent(comment):\n commentLines = comment.split('\\n')\n if len(commentLines) < 2:\n cleaned = list(map(str.lstrip, commentLines))\n else:\n spc = 0\n for char in commentLines[1]:\n if char in string.whitespace:\n spc = spc + 1\n else:\n break\n #now check other lines\n cleaned = []\n for line in commentLines:\n for i in range(min(len(line),spc)):\n if line[0] in string.whitespace:\n line = line[1:]\n cleaned.append(line)\n return '\\n'.join(cleaned)","def hide_magic(source: str) -> str:\n\n def _hide_magic_line(line: str) -> str:\n return f\"###MAGIC###{line}\" if contains_magic(line) else line\n\n return \"\\n\".join(_hide_magic_line(line) for line in source.split(\"\\n\"))","def _PreParse(line: str) -> str:\n line = line.rstrip(\"\\n\")\n\n commentIndex = line.find(\"/\")\n\n # no comment found\n if commentIndex == - 1:\n return line\n\n # truncate\n return line[0:commentIndex]","def cleanup_code( content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def removeComment(line):\n ind = line.find('%')\n while True:\n if ind < 0:\n return line\n elif (ind > 0 and line[ind-1] != '\\\\') or ind == 0:\n break\n else:\n ind = line.find('%', ind+1)\n return line[:ind]","def test_remove_single_line_comments_annotation():\n\n\tinput_ = \"\"\"line1\n\t\t\t\tline2 \n\t\t\t\t//comment\n\t\t\t\t//@Test //comment\n\t\t\t\t//comment\n\t\t\t\tline3 \"\"\"\n\n\texpect = \"\"\"line1\n\t\t\t\tline2 \n\t\t\t\t\n\t\t\t\t//@Test //comment\n\t\t\t\t\n\t\t\t\tline3 \"\"\"\n\n\tassert aunit.remove_single_line_comments(input_) == expect","def listFromLines(lines):\n reComment = re.compile('#.*')\n temp = [reComment.sub('',x).strip() for x in lines.split('\\n')]\n temp = [x for x in temp if x]\n return temp","def cleanup_code(content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n # remove `foo`\n return content.strip('` \\n')","def clean_code(ls):\r\n ls = remove_white_space(ls)\r\n ls = remove_comments(ls)\r\n ls = remove_empty_lines(ls)\r\n\r\n return ls","def strip_comment_line_with_symbol(line, start): # pragma: no cover\n parts = line.split(start)\n counts = [len(re.findall(r'(?:^|[^\"\\\\]|(?:\\\\\\\\|\\\\\")+)(\")', part))\n for part in parts]\n total = 0\n for nr, count in enumerate(counts):\n total += count\n if total % 2 == 0:\n return start.join(parts[:nr + 1]).rstrip()\n else: # pragma: no cover\n return line.rstrip()","def clean_docstring(doc: str, unused: Literal[\"pre\", \"post\"] = None) -> str:\n doc = doc.split(\"\\n\")\n if unused == \"pre\":\n try:\n index = next(i for i, l in enumerate(doc) if l.strip())\n doc = doc[index:]\n except StopIteration:\n doc = []\n elif unused == \"post\":\n try:\n index = next(i for i, l in enumerate(reversed(doc)) if l.strip())\n doc = doc[: len(doc) - index]\n except StopIteration:\n doc = []\n if doc:\n first_line = doc[0]\n index = len(first_line) - len(first_line.lstrip())\n indent = first_line[:index]\n if all(l.startswith(indent) for l in doc if l.strip()):\n doc = [(l[index:] if l.strip() else l) for l in doc]\n return \"\\n\".join(doc)","def getcomments(object):\r\n try:\r\n lines, lnum = findsource(object)\r\n except (IOError, TypeError):\r\n return None\r\n\r\n if ismodule(object):\r\n # Look for a comment block at the top of the file.\r\n start = 0\r\n if lines and lines[0][:2] == '#!': start = 1\r\n while start < len(lines) and string.strip(lines[start]) in ('', '#'):\r\n start = start + 1\r\n if start < len(lines) and lines[start][:1] == '#':\r\n comments = []\r\n end = start\r\n while end < len(lines) and lines[end][:1] == '#':\r\n comments.append(string.expandtabs(lines[end]))\r\n end = end + 1\r\n return string.join(comments, '')\r\n\r\n # Look for a preceding block of comments at the same indentation.\r\n elif lnum > 0:\r\n indent = indentsize(lines[lnum])\r\n end = lnum - 1\r\n if end >= 0 and string.lstrip(lines[end])[:1] == '#' and \\\r\n indentsize(lines[end]) == indent:\r\n comments = [string.lstrip(string.expandtabs(lines[end]))]\r\n if end > 0:\r\n end = end - 1\r\n comment = string.lstrip(string.expandtabs(lines[end]))\r\n while comment[:1] == '#' and indentsize(lines[end]) == indent:\r\n comments[:0] = [comment]\r\n end = end - 1\r\n if end < 0: break\r\n comment = string.lstrip(string.expandtabs(lines[end]))\r\n while comments and string.strip(comments[0]) == '#':\r\n comments[:1] = []\r\n while comments and string.strip(comments[-1]) == '#':\r\n comments[-1:] = []\r\n return string.join(comments, '')","def stripText(self, rawText):\n strippedText = []\n for line in rawText:\n if line.rstrip():\n if line[0] != '#':\n strippedText.append(line.rstrip()) #also remove newline character\n return strippedText","def _RemoveStaleComments(content: str) -> str:\n for match in STALE_GROUP_COMMENT_REGEX.findall(content):\n content = content.replace(match, '')\n\n return content","def cleanup_code(content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def toggle_comment(self):\n r = vim.current.range\n rlen = r.end - r.start + 1\n ac = self.all_comment(r, 0, rlen)\n for i in range(0, rlen):\n r[i] = r[i].replace(self._cstr, '')\n if not ac:\n for i in range(0, rlen):\n r[i] = re.sub(r'^(\\s*)', r'\\1{0}'.format(self._cstr), r[i])","def cleanup_code(self, content):\n\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n if content[-4] == '\\n':\n return '\\n'.join(content.split('\\n')[1:-1])\n return '\\n'.join(content.split('\\n')[1:]).rstrip('`')\n\n # remove `foo`\n return content.strip('` \\n')","def minimize_source(source):\n if not isinstance(source, mitogen.core.UnicodeType):\n source = source.decode('utf-8')\n tokens = tokenize.generate_tokens(StringIO(source).readline)\n tokens = strip_comments(tokens)\n tokens = strip_docstrings(tokens)\n tokens = reindent(tokens)\n return tokenize.untokenize(tokens)","def _parse_comment(i, doc):\n\n if doc[i].strip() != \"/**\":\n raise ParseFailure(i, \"Expected beginning of block comment\")\n\n e = i + 1\n while e < len(doc) and doc[e].strip() != \"*/\":\n e += 1\n\n return e + 1, [x.rstrip() for x in doc[i + 1: e]]","def strip_comment_line_with_symbol(line, start):\n parts = line.split(start)\n counts = [len(re.findall(r'(?:^|[^\"\\\\]|(?:\\\\\\\\|\\\\\")+)(\")', part))\n for part in parts]\n total = 0\n for nr, count in enumerate(counts):\n total += count\n if total % 2 == 0:\n return start.join(parts[:nr + 1]).rstrip()\n else: # pragma: no cover\n return line.rstrip()","def clean_comment(pair):\n pair = [remove_newlines(i) for i in pair]\n pair = [i.strip() for i in pair]\n # Remove colons\n pair[0] = pair[0].replace(':', '')\n # Remove excess whitespace\n whitespace_regex = re.compile('\\s\\s+')\n pair[1] = whitespace_regex.sub(' ', pair[1])\n return pair","def skipComment(self):\r\n\t\tch = self.nextChar()\r\n\t\twhile ch and ch != \"\\n\":\r\n\t\t\tch = self.nextChar()","def cleanup_code(self, content):\n # remove ```py\\n```\n if content.startswith('```') and content.endswith('```'):\n return '\\n'.join(content.split('\\n')[1:-1])\n\n # remove `foo`\n return content.strip('` \\n')","def comment_cleaner(text):\n text = re.sub(\"[^\\w\\s]\", \"\", text)\n text = \" \".join([x.lower() for x in text.split(' ') if x.lower() in corpus and x.lower() not in stopwords and len(x) > 1])\n if text == '':\n return np.nan\n return text","def parse_comment(comment: Union[Token, PsuedoToken]) -> str:\n # Happens when there is no documentation comment in the source file for the\n # item.\n spelling = comment.spelling\n if spelling is None:\n return \"\"\n\n # Comments from clang start at the '/*' portion, but if the comment itself\n # is indented subsequent lines will have too much indent.\n # Transform::\n #\n # \"/**\\n * hello some comment\\n * on multiple lines\\n */\"\n #\n # into::\n #\n # \"/**\\n * hello some comment\\n * on multiple lines\\n */\"\n indent = \" \" * (comment.extent.start.column - 1)\n indented_comment = indent + spelling\n dedented_comment = textwrap.dedent(indented_comment)\n\n # Notes on the regex here.\n # Option 1 '\\s?\\*/?'\n # This piece will match comment lines that start with '*' or ' *'.\n # This will also match a trailing '*/' for the end of a comment\n #\n # Option 2 '^/\\*+<?'\n # This will match the start of a comment '/*' and consume any\n # subsequent '*'. This is also meant to catch '/**<' for trailing comments.\n #\n # Option 3 '\\*+/'\n # Matches any and all '*' up to the end of the comment string.\n contents = re.sub(\n r\"^\\s?\\*/?|^/\\*+<?|\\*+/\",\n lambda x: len(x.group(0)) * \" \",\n dedented_comment,\n flags=re.MULTILINE,\n )\n\n contents = textwrap.dedent(contents)\n\n # there may still be left over newlines so only strip those, but leave any\n # whitespaces.\n contents = contents.strip(\"\\n\")\n\n return contents","def print_comments():\n with open('a_cpp_file.cpp', 'r') as file:\n data = file.read()\n to_print = ''\n should_print = False\n for i, char in enumerate(data):\n if i > 1:\n if data[i-1] == '*' and data[i-2] == '/':\n should_print = True\n if char == '*' and data[i+1] == '/' and should_print:\n should_print = False\n print(to_print)\n to_print = ''\n if should_print:\n to_print += char\n should_print = False\n for i, char in enumerate(data):\n if i > 1:\n if data[i-1] == '/' and data[i-2] == '/':\n should_print = True\n if char == '\\n' and should_print:\n should_print = False\n print(to_print)\n to_print = ''\n if should_print:\n to_print += char","def stripped_lines(lines, ignore_comments, ignore_docstrings, ignore_imports):\n if ignore_imports:\n tree = astroid.parse(\"\".join(lines))\n node_is_import_by_lineno = (\n (node.lineno, isinstance(node, (astroid.Import, astroid.ImportFrom)))\n for node in tree.body\n )\n line_begins_import = {\n lineno: all(is_import for _, is_import in node_is_import_group)\n for lineno, node_is_import_group in groupby(\n node_is_import_by_lineno, key=lambda x: x[0]\n )\n }\n current_line_is_import = False\n\n strippedlines = []\n docstring = None\n for lineno, line in enumerate(lines, start=1):\n line = line.strip()\n if ignore_docstrings:\n if not docstring and any(\n line.startswith(i) for i in ['\"\"\"', \"'''\", 'r\"\"\"', \"r'''\"]\n ):\n docstring = line[:3]\n line = line[3:]\n if docstring:\n if line.endswith(docstring):\n docstring = None\n line = \"\"\n if ignore_imports:\n current_line_is_import = line_begins_import.get(\n lineno, current_line_is_import\n )\n if current_line_is_import:\n line = \"\"\n if ignore_comments:\n line = line.split(\"#\", 1)[0].strip()\n strippedlines.append(line)\n return strippedlines","def test_dislike_a_comment(self):\n self.base_test()","def process_comment(self, data):\r\n if not self.is_suppress:\r\n return [data]","def make_comment(self, input, start, end, elements):\n return elements[1].text.strip('{}')","def trim_comment(line):\n if ';' not in line:\n return (line, None)\n\n comment_start = line.index(';')\n before_comment = line[:comment_start]\n spaces_before_comment = len(before_comment) - len(before_comment.rstrip())\n comment = line[comment_start:]\n return (before_comment.rstrip(), spaces_before_comment * ' ' + comment)","def sanitize_comment(comment):\n\n if hasattr(settings, \"BLEACH_ALLOWED_TAGS\"):\n allowed_tags = settings.BLEACH_ALLOWED_TAGS\n else:\n allowed_tags = bleach.sanitizer.ALLOWED_TAGS\n\n return bleach.clean(comment, tags=allowed_tags, strip=True)","def remove_curl_debug_lines(text: str) -> str:\n lines = text.split(\"\\n\")\n lines = [line for line in lines if not line.startswith(\"**\")]\n return \"\\n\".join(lines)","def clean(text):\n lines = text.split('\\n')\n\n indx = range(len(lines))\n indx.reverse()\n for i in indx:\n temp = lines[i].strip()\n if temp == '' or temp.startswith('#'):\n del lines[i]\n else:\n lines[i] = temp\n\n return lines","def clean_tinymce(input):\n result = input\n result = result.replace(u'<#document-fragment>', u'') # A strange bug that the NIVE client experiences but that we can't reproduce.\n result = result.replace(u'<#document-fragment>', u'') # A strange bug that the NIVE client experiences but that we can't reproduce.\n result = html_comments.sub(u'', result)\n return result","def block_comments(code):\n block = list()\n for line in code:\n if bool(line.strip()): # If line is not empty\n if line.strip()[0] == '!': # If the first character of the string is the start of a comment it adds it\n block.append(identify_comment(line))\n elif bool(line.strip()): # If the first character of the string is not the start of a comment or its not empty it exits\n break\n return block","def getHTMLComments(self, text):\n return self.doSpecial(text, '<!--', '-->', self.fParseHTMLComments)","def remove_comments(ctx, files):\n # CD into Salt's repo root directory\n ctx.cd(CODE_DIR)\n\n # Unfortunately invoke does not support nargs.\n # We migth have been passed --files=\"foo.py bar.py\"\n # Turn that into a list of paths\n _files = []\n for path in files:\n if not path:\n continue\n _files.extend(path.split())\n if not _files:\n utils.exit_invoke(0)\n\n _files = [\n pathlib.Path(fname).resolve() for fname in _files if fname.endswith(\".py\")\n ]\n\n fixes = 0\n exitcode = 0\n comments_regex = re.compile(r\"^# ([I|i])mports? .*(([L|l])ibs?)?\\n\", re.MULTILINE)\n for path in _files:\n contents = path.read_text()\n fixed = comments_regex.sub(\"\", contents)\n if fixed == contents:\n continue\n fixes += 1\n exitcode = 1\n path.write_text(fixed)\n if exitcode:\n utils.error(\"Fixed {} files\", fixes)\n utils.exit_invoke(exitcode)","def docstring_hack():\n pass","def _preprocess(self, source):\n source = source.replace(u'\\n', u'').strip()\n source = re.sub(r'<br\\s*\\/?\\s*>', u' ', source, re.I)\n source = re.sub(r'\\s\\s+', u' ', source)\n return source","def lines(filename, exclude_imports=True, exclude_comments=True, exclude_tests=True, exclude_globals=True, exclude_blank=True, verbose=False, is_c=False, s=None):\n if s is None:\n s = open(filename, 'rt').read()\n\n L = s.split('\\n')\n \n # Hack to strip out triple and single quote string lines in a heuristic (unreliable) way, which avoids parsing Cython\n if not is_c:\n for i in range(len(L)):\n if L[i].strip().startswith(\"'\") and L[i].strip().endswith(\"'\"):\n L[i] = ''\n i = 0\n while i < len(L):\n found = False\n for triple_quote in ['\"\"\"', \"'''\"]:\n if L[i].strip().startswith(triple_quote):\n L[i] = L[i].strip()[3:]\n for j in range(i, len(L)):\n if triple_quote in L[j]:\n found = True\n L[j] = ''\n if found:\n break\n i = j+1\n if not found:\n i += 1\n else:\n begin_comment = '/*'\n end_comment = '*/'\n i = 0\n while i < len(L):\n found = False\n if begin_comment in L[i]:\n rest = L[i][L[i].index(begin_comment)+len(begin_comment):]\n L[i] = L[i][:L[i].index(begin_comment)]\n if end_comment in rest:\n found = True\n i += 1\n else:\n for j in range(i+1, len(L)):\n if end_comment in L[j]:\n found = True\n L[j] = L[j][L[j].index(end_comment)+len(end_comment):]\n else:\n L[j] = ''\n if found:\n break\n i = j + 1\n if not found:\n i += 1\n\n# util.print_header('Lines before exclude_tests:' + filename, '\\n'.join(L))\n\n # Hack to strip out def test() and other methods in a heuristic (unreliable) way, which avoids parsing Cython\n if exclude_tests:\n # Also exclude makeColorMatrix so that our camera pipe is apples-to-apples comparable with reported lines in Halide paper\n if not is_c:\n methods = 'test run_test_all mandelbrot_gray mandelbrot_color composite_numpy composite_numexpr makeColorMatrix'.split()\n else:\n methods = ['int main', 'void main']\n i = 0\n while i < len(L):\n L_i_strip = L[i].strip()\n if ((not is_c and (any(L_i_strip.startswith('def ' + method) for method in methods) or\n any(L_i_strip.startswith('cdef ' + method) for method in methods))) or\n (is_c and (any(L_i_strip.startswith(method) for method in methods)))):\n L[i] = ''\n for j in range(i+1, len(L)):\n L_j_strip = L[j].strip()\n c_ok = True\n if is_c:\n c_ok = L_j_strip != '{' and L_j_strip != '}'\n if not L[j].startswith(' ') and not L[j].startswith('\\t') and not len(L[j].strip()) == 0 and c_ok:\n break\n else:\n L[j] = ''\n i = j\n elif (L[i].strip().startswith('test(') or L[i].strip().startswith('run_test_all(')) and not is_c:\n L[i] = ''\n i += 1\n else:\n i += 1\n\n# util.print_header('Lines before exclude_imports:' + filename, '\\n'.join(L))\n if exclude_imports:\n if not is_c:\n L = [x for x in L if not x.lstrip().startswith('import') and not x.lstrip().startswith('cimport') and not x.startswith('cdef extern')]\n else:\n L = [x for x in L if not x.lstrip().startswith('#include')]\n# util.print_header('Lines before exclude_comments:' + filename, '\\n'.join(L))\n if exclude_comments:\n if not is_c:\n L = [x for x in L if not x.lstrip().startswith('#') and not x.strip() == 'pass']\n else:\n L = [x for x in L if not x.lstrip().startswith('//')]\n# util.print_header('Lines before exclude_globals:' + filename, '\\n'.join(L))\n if exclude_globals and not is_c:\n L = [x for x in L if (x.startswith(' ') or x.startswith('\\t') or x.startswith('def') or x.startswith('cdef')) and (not x.lstrip().startswith('has_'))]\n# util.print_header('Lines before exclude_blank:' + filename, '\\n'.join(L))\n\n if is_c:\n # Also exclude makeColorMatrix so that C camera pipe is apples-to-apples comparable with reported lines in Halide paper\n L = [x for x in L if not x.lstrip().startswith('matrix_3200') and not x.lstrip().startswith('matrix_7000')]\n if exclude_blank:\n L = [x for x in L if not len(x.strip()) == 0]\n\n if verbose:\n util.print_header('Final lines for:' + filename, '\\n'.join(L))\n\n return len(L)","def parse_code_comment(self, filepath):\n raise NotImplementedError('Not Implemented')","def _clean_message(comment):\n message = comment['message']\n # Remove comments with linked persons (they mostly contain only emojis)\n if 'message_tags' in comment:\n for tag in comment['message_tags']:\n if 'type' in tag and tag['type'] == 'user':\n message = message.replace(tag['name'], '')\n # Remove links\n message = re.sub(r'http\\S+', '', message)\n return message.strip()","def test_comments(self):\n fp = FilePath(self.mktemp())\n fp.setContent('something\\n#commented\\ncool')\n self.assertEqual(list(inventoryReader(fp.path)), ['something', 'cool'])","def implement(self):\n\t#@DEBUG remove comments","def skip(self):\n input = self.source\n startLine = self.line\n\n # Whether this is the first called as happen on start parsing a file (eat leading comments/white space)\n startOfFile = self.cursor is 0\n \n indent = \"\"\n \n while (True):\n if len(input) > self.cursor:\n ch = input[self.cursor]\n else:\n return\n \n self.cursor += 1\n \n if len(input) > self.cursor:\n next = input[self.cursor]\n else:\n next = None\n\n if ch == \"\\n\" and not self.scanNewlines:\n self.line += 1\n indent = \"\"\n \n elif ch == \"/\" and next == \"*\":\n self.cursor += 1\n text = \"/*\"\n inline = startLine == self.line and startLine > 1\n commentStartLine = self.line\n if startLine == self.line and not startOfFile:\n mode = \"inline\"\n elif (self.line-1) > startLine:\n # distance before this comment means it is a comment block for a whole section (multiple lines of code)\n mode = \"section\"\n else:\n # comment for maybe multiple following lines of code, but not that important (no visual white space divider)\n mode = \"block\"\n \n while (True):\n try:\n ch = input[self.cursor]\n self.cursor += 1\n except IndexError:\n raise ParseError(\"Unterminated comment\", self.fileId, self.line)\n \n if ch == \"*\":\n next = input[self.cursor]\n if next == \"/\":\n text += \"*/\"\n self.cursor += 1\n break\n \n elif ch == \"\\n\":\n self.line += 1\n \n text += ch\n \n \n # Filter escaping on slash-star combinations in comment text\n text = text.replace(\"*\\/\", \"*/\")\n \n try:\n self.comments.append(Comment.Comment(text, mode, commentStartLine, indent, self.fileId))\n except Comment.CommentException as commentError:\n Console.error(\"Ignoring comment in %s: %s\", self.fileId, commentError)\n \n \n elif ch == \"/\" and next == \"/\":\n self.cursor += 1\n text = \"//\"\n if startLine == self.line and not startOfFile:\n mode = \"inline\"\n elif (self.line-1) > startLine:\n # distance before this comment means it is a comment block for a whole section (multiple lines of code)\n mode = \"section\"\n else:\n # comment for maybe multiple following lines of code, but not that important (no visual white space divider)\n mode = \"block\"\n \n while (True):\n try:\n ch = input[self.cursor]\n self.cursor += 1\n except IndexError:\n # end of file etc.\n break\n\n if ch == \"\\n\":\n self.line += 1\n break\n \n text += ch\n \n try:\n self.comments.append(Comment.Comment(text, mode, self.line-1, \"\", self.fileId))\n except Comment.CommentException:\n Console.error(\"Ignoring comment in %s: %s\", self.fileId, commentError)\n\n # check for whitespace, also for special cases like 0xA0\n elif ch in \"\\xA0 \\t\":\n indent += ch\n\n else:\n self.cursor -= 1\n return","def extract_docstring(loaded):\n\n source = loaded['cells'][0]['source']\n\n assert source[0].strip() == '\"\"\"'\n assert source[-1].strip() == '\"\"\"'\n\n return ' '.join(i.strip() for i in source[1:-1])"],"string":"[\n \"def _removeComments(code):\\r\\n # remove all occurance streamed comments (/*COMMENT */) from string\\r\\n text = re.sub(re.compile('/\\\\*.*?\\\\*/', re.DOTALL), '', code)\\r\\n # remove all occurance singleline comments (//COMMENT\\\\n ) from string\\r\\n return re.sub(re.compile('//.*?\\\\n'), '', text)\",\n \"def remove_comments(s):\\n return \\\"\\\\n\\\".join(l for l in s.strip().split(\\\"\\\\n\\\") if not l.strip().startswith(\\\"#\\\"))\",\n \"def remove_comments(ls):\\r\\n for i in range(len(ls)):\\r\\n ls[i] = re.sub(r'//.*', '', ls[i])\\r\\n\\r\\n return ls\",\n \"def remove_comments(line):\\n hashPos = line.find('#')\\n return line[:hashPos] if hashPos >= 0 else line\",\n \"def remove_comments(html):\\n return re.sub(r\\\"<!--.*?-->\\\", \\\" \\\", html)\",\n \"def strip_comments(line):\\n if \\\"#\\\" in line:\\n return line[:line.find(\\\"#\\\")]\\n else:\\n return line\",\n \"def clean_comments(self):\\n new_lines = list()\\n for line in self.lines:\\n if ((not line.startswith(\\\"//\\\")) & (not line.isspace()) &\\n (not line.startswith(\\\"/*\\\") & (not line.startswith(\\\"*/\\\")))):\\n line = Parser.strip_line(line)\\n new_lines.append(line)\\n self.lines = new_lines\",\n \"def DropComment(text):\\n grp = re.compile(r'/\\\\*[^/]*\\\\*/').split(text)\\n result = string.join(grp);\\n grp = re.compile(r'//.*').split(result);\\n result = string.join(grp);\\n #result = string.join(result.split('\\\\n')) #remove the line break\\n return(' '+result);\",\n \"def removeHtmlComments(self, text):\\n sb = []\\n start = text.find(u'<!--')\\n last = 0\\n while start != -1:\\n end = text.find(u'-->', start)\\n if end == -1:\\n break\\n end += 3 \\n \\n spaceStart = max(0, start-1)\\n spaceEnd = end\\n while text[spaceStart] == u' ' and spaceStart > 0:\\n spaceStart -= 1\\n while text[spaceEnd] == u' ':\\n spaceEnd += 1\\n \\n if text[spaceStart] == u'\\\\n' and text[spaceEnd] == u'\\\\n':\\n sb.append(text[last:spaceStart])\\n sb.append(u'\\\\n')\\n last = spaceEnd+1\\n else:\\n sb.append(text[last:spaceStart+1])\\n last = spaceEnd\\n \\n start = text.find(u'<!--', end)\\n sb.append(text[last:])\\n return u''.join(sb)\",\n \"def __clean_line_comments(self):\\n self.lines = [l for l in self.lines if not l.startswith(\\\"//\\\") and len(l) != 0]\",\n \"def __clean_line_comments(self):\\n self.lines = [l for l in self.lines if not l.startswith(\\\"//\\\") and len(l) != 0]\",\n \"def _strip_comments(file_contents):\\n lines_without_comments = []\\n for line in file_contents:\\n comment_position = line.find(COMMENT_INDICATOR)\\n if comment_position != -1:\\n lines_without_comments.append(line[:comment_position])\\n else:\\n lines_without_comments.append(line)\\n return lines_without_comments\",\n \"def strip_comments(source):\\n\\n tokens = (\\n 'PERCENT',\\n 'BEGINCOMMENT', 'ENDCOMMENT',\\n 'BACKSLASH',\\n 'CHAR',\\n 'BEGINVERBATIM', 'ENDVERBATIM',\\n 'BEGINLISTING', 'ENDLISTING',\\n 'NEWLINE',\\n 'ESCPCT',\\n )\\n states = (\\n ('linecomment', 'exclusive'),\\n ('commentenv', 'exclusive'),\\n ('verbatim', 'exclusive'),\\n ('listing', 'exclusive'),\\n )\\n\\n #Deal with escaped backslashes, so we don't think they're escaping %.\\n def t_BACKSLASH(t):\\n r\\\"\\\\\\\\\\\\\\\\\\\"\\n return t\\n\\n #One-line comments\\n def t_PERCENT(t):\\n r\\\"\\\\%\\\"\\n t.lexer.begin(\\\"linecomment\\\")\\n return None\\n\\n #Escaped percent signs\\n def t_ESCPCT(t):\\n r\\\"\\\\\\\\\\\\%\\\"\\n return t\\n\\n #Comment environment, as defined by verbatim package\\n def t_BEGINCOMMENT(t):\\n r\\\"\\\\\\\\begin\\\\s*{\\\\s*comment\\\\s*}\\\"\\n t.lexer.begin(\\\"commentenv\\\")\\n return None\\n\\n #Verbatim environment (different treatment of comments within)\\n def t_BEGINVERBATIM(t):\\n r\\\"\\\\\\\\begin\\\\s*{\\\\s*verbatim\\\\s*}\\\"\\n t.lexer.begin(\\\"verbatim\\\")\\n return t\\n\\n #Listings environment (different treatment of comments within)\\n def t_BEGINLISTING(t):\\n r\\\"\\\\\\\\begin\\\\s*{\\\\s*lstlisting\\\\s*}\\\"\\n t.lexer.begin(\\\"listing\\\")\\n return t\\n\\n #Any other character in initial state we leave alone\\n def t_CHAR(t):\\n r\\\".\\\"\\n return t\\n\\n def t_NEWLINE(t):\\n r\\\"\\\\n\\\"\\n return t\\n\\n #End comment environment\\n def t_commentenv_ENDCOMMENT(t):\\n r\\\"\\\\\\\\end\\\\s*{\\\\s*comment\\\\s*}\\\"\\n #Anything after \\\\end{comment} on a line is ignored!\\n t.lexer.begin('linecomment')\\n return None\\n\\n #Ignore comments of comment environment\\n def t_commentenv_CHAR(t):\\n r\\\".\\\"\\n return None\\n\\n def t_commentenv_NEWLINE(t):\\n r\\\"\\\\n\\\"\\n return None\\n\\n #End of verbatim environment\\n def t_verbatim_ENDVERBATIM(t):\\n r\\\"\\\\\\\\end\\\\s*{\\\\s*verbatim\\\\s*}\\\"\\n t.lexer.begin('INITIAL')\\n return t\\n\\n #End of listing environment\\n def t_listing_ENDLISTING(t):\\n r\\\"\\\\\\\\end\\\\s*{\\\\s*lstlisting\\\\s*}\\\"\\n t.lexer.begin('INITIAL')\\n return t\\n\\n #Leave contents of verbatim/listing environment alone\\n def t_verbatim_listing_CHAR(t):\\n r\\\".\\\"\\n return t\\n\\n def t_verbatim_listing_NEWLINE(t):\\n r\\\"\\\\n\\\"\\n return t\\n\\n\\n #End a % comment when we get to a new line\\n def t_linecomment_ENDCOMMENT(t):\\n r\\\"\\\\n\\\"\\n t.lexer.begin(\\\"INITIAL\\\")\\n #Newline at the end of a line comment is stripped.\\n return None\\n\\n #Ignore anything after a % on a line\\n def t_linecomment_CHAR(t):\\n r\\\".\\\"\\n return None\\n\\n #Print errors\\n def t_ANY_error(t):\\n print(t.value, file=sys.stderr)\\n\\n lexer = ply.lex.lex()\\n lexer.input(source)\\n return u\\\"\\\".join([tok.value for tok in lexer])\",\n \"def decomment_and_normalize(s):\\n index = s.find(inline_comment_start)\\n if index != -1:\\n s = s[0:index]\\n return s.strip(inline_whitespace)\",\n \"def clean_comment(line):\\n if line.startswith(\\\"#!\\\"):\\n line = line[2:]\\n else:\\n line = line[1:]\\n if line.startswith(\\\" \\\"):\\n line = line[1:]\\n if not line.endswith('\\\\n'):\\n line += '\\\\n'\\n return line\",\n \"def _purify(self, line_str):\\n string = line_str.strip('\\\\n')\\n string = string.strip()\\n comment_idx = string.find('//')\\n if comment_idx == -1:\\n return string.strip()\\n elif comment_idx == 0:\\n return None\\n else:\\n return string[0:comment_idx].strip()\",\n \"def remove_comments(code):\\n state = ReadState.NORMAL\\n escape = False\\n result = ''\\n i = 0\\n while i < (len(code)):\\n c = code[i]\\n if state == ReadState.NORMAL:\\n if c == '\\\"':\\n state = ReadState.STRING\\n escape = False\\n if i + 1 < len(code):\\n if c + code[i + 1] == '//':\\n state = ReadState.SINGLE_COMMENT\\n i += 2\\n continue\\n if c + code[i + 1] == '/*':\\n state = ReadState.MULTI_COMMENT\\n i += 2\\n continue\\n result += c\\n elif state == ReadState.STRING:\\n if escape:\\n escape = False\\n else:\\n if c == '\\\"':\\n state = ReadState.NORMAL\\n if c == '\\\\\\\\':\\n escape = True\\n result += c\\n elif state == ReadState.SINGLE_COMMENT:\\n if c == '\\\\n':\\n state = ReadState.NORMAL\\n result += c\\n elif state == ReadState.MULTI_COMMENT:\\n if i + 1 < len(code):\\n if c + code[i + 1] == '*/':\\n state = ReadState.NORMAL\\n i += 1\\n i += 1\\n return result\",\n \"def cleanup_comments(comments):\\n clean_comments = []\\n\\n if comments:\\n for comment in comments:\\n cleaned_up = sub(r'\\\\n\\\\n {8}\\\\n {8}\\\\n {12}\\\\n {16}\\\\n {16}\\\\n {12}\\\\nEdit', '', comment)\\n clean_comments.append(cleaned_up)\\n\\n return clean_comments\",\n \"def decomment(string):\\n pattern = r\\\"//.*|/\\\\*[\\\\s\\\\S]*?\\\\*/|(\\\\\\\"(\\\\\\\\.|[^\\\\\\\"])*\\\\\\\"|'(\\\\\\\\.|[^\\\\'])*')\\\"\\n regex = re.compile(pattern)\\n return regex.sub(lambda m: m.group(1), string)\",\n \"def comment():\",\n \"def strip_docstring(blob):\\n docstring = True\\n while docstring == True:\\n match_docstring = re.search('\\\\n\\\\s*\\\"\\\"\\\"[^\\\"\\\"\\\"]*\\\"\\\"\\\"', blob)\\n if not match_docstring:\\n docstring = False\\n else:\\n blob = blob.replace(blob[match_docstring.span()[0]:match_docstring.span()[1]], '')\\n return blob\",\n \"def comment_remover(text):\\n\\n def replacer(match):\\n s = match.group(0)\\n if s.startswith(\\\"/\\\"):\\n return \\\"\\\"\\n else:\\n return s\\n\\n pattern = re.compile(\\n r'//.*?$|/\\\\*.*?\\\\*/|\\\\'(?:\\\\\\\\.|[^\\\\\\\\\\\\'])*\\\\'|\\\"(?:\\\\\\\\.|[^\\\\\\\\\\\"])*\\\"',\\n re.DOTALL | re.MULTILINE,\\n )\\n return re.sub(pattern, replacer, text)\",\n \"def remove_paired_comments(self, program):\\n regions = re.compile(\\\"(/\\\\*|\\\\*/)\\\").split(program)\\n depth = 0\\n output = []\\n for i in range(len(regions)):\\n region = regions[i]\\n if region==\\\"/*\\\":\\n depth+=1\\n elif region==\\\"*/\\\":\\n depth-=1\\n else:\\n #print(\\\" \\\"*depth, region.replace(\\\"\\\\n\\\", \\\"_\\\"))\\n if depth==0:\\n output.append(region)\\n return \\\"\\\".join(output)\",\n \"def split_comment(cls, code):\\r\\n if '#' not in code: return code\\r\\n #: Remove comments only (leave quoted strings as they are)\\r\\n subf = lambda m: '' if m.group(0)[0]=='#' else m.group(0)\\r\\n return re.sub(cls.re_pytokens, subf, code)\",\n \"def remove_comment_header(code):\\n # get the line number when the comment header ends (incl. empty lines)\\n ln_pos = 0\\n for line in code.splitlines(True):\\n if re.match(r\\\"[ \\\\t]*(%|\\\\n)\\\", line):\\n ln_pos += 1\\n else:\\n break\\n\\n if ln_pos > 0:\\n # remove the header block and empty lines from the top of the code\\n try:\\n code = code.split(\\\"\\\\n\\\", ln_pos)[ln_pos:][0]\\n except IndexError:\\n # only header and empty lines.\\n code = \\\"\\\"\\n\\n return code\",\n \"def comment_content(c):\\n content = str(c)[4:-3]\\n return content.strip()\",\n \"def remove_comments_and_docstrings(source):\\n io_obj = StringIO(source)\\n out = \\\"\\\"\\n prev_toktype = tokenize.INDENT\\n last_lineno = -1\\n last_col = 0\\n for tok in tokenize.generate_tokens(io_obj.readline):\\n token_type = tok[0]\\n token_string = tok[1]\\n start_line, start_col = tok[2]\\n end_line, end_col = tok[3]\\n ltext = tok[4]\\n # The following two conditionals preserve indentation.\\n # This is necessary because we're not using tokenize.untokenize()\\n # (because it spits out code with copious amounts of oddly-placed\\n # whitespace).\\n if start_line > last_lineno:\\n last_col = 0\\n if start_col > last_col:\\n out += (\\\" \\\" * (start_col - last_col))\\n # Remove comments:\\n if token_type == tokenize.COMMENT:\\n pass\\n # This series of conditionals removes docstrings:\\n elif token_type == tokenize.STRING:\\n if prev_toktype != tokenize.INDENT:\\n # This is likely a docstring; double-check we're not inside an operator:\\n if prev_toktype != tokenize.NEWLINE:\\n # Note regarding NEWLINE vs NL: The tokenize module\\n # differentiates between newlines that start a new statement\\n # and newlines inside of operators such as parens, brackes,\\n # and curly braces. Newlines inside of operators are\\n # NEWLINE and newlines that start new code are NL.\\n # Catch whole-module docstrings:\\n if start_col > 0:\\n # Unlabelled indentation means we're inside an operator\\n out += token_string\\n # Note regarding the INDENT token: The tokenize module does\\n # not label indentation inside of an operator (parens,\\n # brackets, and curly braces) as actual indentation.\\n # For example:\\n # def foo():\\n # \\\"The spaces before this docstring are tokenize.INDENT\\\"\\n # test = [\\n # \\\"The spaces before this string do not get a token\\\"\\n # ]\\n\\n else:\\n out += token_string\\n prev_toktype = token_type\\n last_col = end_col\\n last_lineno = end_line\\n out = '\\\\n'.join([line for line in out.splitlines() if line.strip()])\\n return out\",\n \"def comment_stripper(iterator):\\n for line in iterator:\\n if line [:1] == '#':\\n continue\\n if not line.strip ():\\n continue\\n yield line\",\n \"def test_remove_single_line_comments_noannotation():\\n\\n\\tinput_ = \\\"\\\"\\\"line1\\n\\t\\t\\t\\tline2 \\n\\t\\t\\t\\t//comment\\n\\t\\t\\t\\tline3 \\\"\\\"\\\"\\n\\n\\texpect = \\\"\\\"\\\"line1\\n\\t\\t\\t\\tline2 \\n\\t\\t\\t\\t\\n\\t\\t\\t\\tline3 \\\"\\\"\\\"\\n\\n\\tassert aunit.remove_single_line_comments(input_) == expect\",\n \"def _dump_comment(comment: List[str]) -> List[str]:\\n return [\\\"/**\\\"] + comment + [\\\"*/\\\"]\",\n \"def remove_comments(css):\\n log.debug(\\\"Removing all Comments.\\\")\\n iemac, preserve = False, False\\n comment_start = css.find(\\\"/*\\\")\\n while comment_start >= 0: # Preserve comments that look like `/*!...*/`.\\n # Slicing is used to make sure we dont get an IndexError.\\n preserve = css[comment_start + 2:comment_start + 3] == \\\"!\\\"\\n comment_end = css.find(\\\"*/\\\", comment_start + 2)\\n if comment_end < 0:\\n if not preserve:\\n css = css[:comment_start]\\n break\\n elif comment_end >= (comment_start + 2):\\n if css[comment_end - 1] == \\\"\\\\\\\\\\\":\\n # This is an IE Mac-specific comment; leave this one and the\\n # following one alone.\\n comment_start = comment_end + 2\\n iemac = True\\n elif iemac:\\n comment_start = comment_end + 2\\n iemac = False\\n elif not preserve:\\n css = css[:comment_start] + css[comment_end + 2:]\\n else:\\n comment_start = comment_end + 2\\n comment_start = css.find(\\\"/*\\\", comment_start)\\n return css\",\n \"def strip_comments(tokens):\\n prev_typ = None\\n prev_end_col = 0\\n for typ, tok, (start_row, start_col), (end_row, end_col), line in tokens:\\n if typ in (tokenize.NL, tokenize.NEWLINE):\\n if prev_typ in (tokenize.NL, tokenize.NEWLINE):\\n start_col = 0\\n else:\\n start_col = prev_end_col\\n end_col = start_col + 1\\n elif typ == tokenize.COMMENT and start_row > 2:\\n continue\\n prev_typ = typ\\n prev_end_col = end_col\\n yield typ, tok, (start_row, start_col), (end_row, end_col), line\",\n \"def remove_c_style_comments(fd):\\n ret = []\\n comment_state = False\\n for line in fd:\\n while True:\\n # seems we have nothing left\\n if len(line) < 2:\\n break\\n # we're still inside a comment\\n if comment_state:\\n idx = line.find(\\\"*/\\\")\\n if idx > -1:\\n line = line[idx + 2:]\\n comment_state = False\\n continue\\n # comment doesn't seem to end on this line\\n break\\n # we're not inside any comment\\n else:\\n idx = line.find(\\\"/*\\\")\\n if idx > -1:\\n line = line[idx + 2:]\\n comment_state = True\\n continue\\n if \\\"//\\\" in line:\\n line = line.split(\\\"//\\\", 1)[0]\\n # only now we can actually do our job\\n line = line.strip()\\n if len(line) > 0:\\n ret.append(line)\\n break\\n return ret\",\n \"def _StripCommentFromLine(line):\\n\\n m = re.match(r'(.*)//', line)\\n if m:\\n return m.group(1).strip() + '\\\\n'\\n else:\\n return line\",\n \"def strip_comments(string, comment_symbols=frozenset(('#', '//'))): # pragma: no cover\\n lines = string.splitlines()\\n for k in range(len(lines)):\\n for symbol in comment_symbols:\\n lines[k] = strip_comment_line_with_symbol(lines[k], start=symbol)\\n return '\\\\n'.join(lines)\",\n \"def remove_starting_comments(sql: str) -> str:\\n commentless_sql = sql\\n while True:\\n start_comment = COMMENT_START_SQL_RE.match(commentless_sql)\\n if start_comment is None:\\n break\\n commentless_sql = commentless_sql[start_comment.end() :]\\n return commentless_sql\",\n \"def deleteComments(self: Self, event: Event = None) -> None:\\n #@+<< deleteComments docstring >>\\n #@+node:ekr.20171123135625.37: *3* << deleteComments docstring >>\\n #@@pagewidth 50\\n #@-<< deleteComments docstring >>\\n c, p, u, w = self, self.p, self.undoer, self.frame.body.wrapper\\n #\\n # \\\"Before\\\" snapshot.\\n bunch = u.beforeChangeBody(p)\\n #\\n # Initial data.\\n head, lines, tail, oldSel, oldYview = self.getBodyLines()\\n if not lines:\\n g.warning('no text selected')\\n return\\n # The default language in effect at p.\\n language = c.frame.body.colorizer.scanLanguageDirectives(p)\\n if c.hasAmbiguousLanguage(p):\\n language = c.getLanguageAtCursor(p, language)\\n d1, d2, d3 = g.set_delims_from_language(language)\\n #\\n # Calculate the result.\\n changed, result = False, []\\n if d1:\\n # Remove the single-line comment delim in front of each line\\n d1b = d1 + ' '\\n n1, n1b = len(d1), len(d1b)\\n for s in lines:\\n i = g.skip_ws(s, 0)\\n if g.match(s, i, d1b):\\n result.append(s[:i] + s[i + n1b :])\\n changed = True\\n elif g.match(s, i, d1):\\n result.append(s[:i] + s[i + n1 :])\\n changed = True\\n else:\\n result.append(s)\\n else:\\n # Remove the block comment delimiters from each line.\\n n2, n3 = len(d2), len(d3)\\n for s in lines:\\n i = g.skip_ws(s, 0)\\n j = s.find(d3, i + n2)\\n if g.match(s, i, d2) and j > -1:\\n first = i + n2\\n if g.match(s, first, ' '):\\n first += 1\\n last = j\\n if g.match(s, last - 1, ' '):\\n last -= 1\\n result.append(s[:i] + s[first:last] + s[j + n3 :])\\n changed = True\\n else:\\n result.append(s)\\n if not changed:\\n return\\n #\\n # Set p.b and w's text first.\\n middle = ''.join(result)\\n p.b = head + middle + tail # Sets dirty and changed bits.\\n w.setAllText(head + middle + tail)\\n #\\n # Set the selection range and scroll position.\\n i = len(head)\\n j = ins = max(i, len(head) + len(middle) - 1)\\n w.setSelectionRange(i, j, insert=ins)\\n w.setYScrollPosition(oldYview)\\n #\\n # \\\"after\\\" snapshot.\\n u.afterChangeBody(p, 'Indent Region', bunch)\",\n \"def ostrip(thefile):\\n outlines = []\\n with open(thefile, 'r') as f:\\n for line in f:\\n if line[0] != '%':\\n if '%' in line:\\n if r'\\\\%' in line or line[-1] == '%':\\n outlines.append(line) # these are not real comments\\n else:\\n outlines.append(line.split(' %')[0]+'\\\\n')\\n else:\\n outlines.append(line)\\n return outlines\",\n \"def strip_comments(string, comment_symbols=frozenset(('#', '//'))):\\n lines = string.splitlines()\\n for k in range(len(lines)):\\n for symbol in comment_symbols:\\n lines[k] = strip_comment_line_with_symbol(lines[k], start=symbol)\\n return '\\\\n'.join(lines)\",\n \"def filter_comments(asm_utf):\\n comments = []\\n # removes nones\\n a = filter(lambda x: x != None, asm_utf)\\n # splits on comment token\\n comments = [re.split(\\\";\\\", line) for line in a]\\n # takes only those that have a comment token\\n comments = list(filter(lambda x: len(x) > 1, comments))\\n # strips the whitespace from those tokens\\n comments = [line[1].strip() for line in comments]\\n # removes the singleton chars\\n comments = list(filter(lambda x: len(x) > 1, comments))\\n # regex to remove section markers and extraneous tabs\\n # left over by poor reading of files\\n comments = [re.sub('([-=].*[-=]|\\\\t)', '', line) for line in comments]\\n comments = list(filter(lambda x: x != '', comments))\\n return comments\",\n \"def remove_html_comments(html): # Grunt uses comments to as build arguments, bad practice but still.\\n log.debug(\\\"\\\"\\\"Removing all unnecessary HTML comments; Keep all containing:\\n 'build:', 'endbuild', '<!--[if]>', '<![endif]-->' for Grunt/Grymt, IE.\\\"\\\"\\\")\\n return re.compile('<!-- [^(build|endbuild)].*? -->', re.I).sub('', html)\",\n \"def comment_remover(string):\\n def replacer(match):\\n s = match.group(0)\\n if s.startswith('/'):\\n return \\\" \\\" # note: a space and not an empty string\\n else:\\n return s\\n pattern = re.compile(\\n r'//.*?$|/\\\\*.*?\\\\*/|\\\\'(?:\\\\\\\\.|[^\\\\\\\\\\\\'])*\\\\'|\\\"(?:\\\\\\\\.|[^\\\\\\\\\\\"])*\\\"',\\n re.DOTALL | re.MULTILINE\\n )\\n return re.sub(pattern, replacer, string)\",\n \"def __remove_c_comments(self, line):\\n new_chars = []\\n i = 0\\n while i < len(line):\\n blocks = self.__ingest_c_block_comments(line, i)\\n if blocks > 0:\\n i += blocks\\n continue\\n\\n whitespace = self.__ingest_whitespace(line, i)\\n if whitespace > 0:\\n new_chars.append(' ')\\n i += whitespace\\n continue\\n\\n comm_start = self.__ingest_c_comment_start(line, i)\\n if comm_start == -1:\\n new_chars.append(' ')\\n break\\n elif comm_start > 0:\\n new_chars.append(' ')\\n i += comm_start\\n\\n if blocks + whitespace + comm_start == 0:\\n new_chars.append(line[i])\\n i += 1\\n\\n new_line = ''.join(new_chars)\\n return new_line\",\n \"def remove_comments_from_line(self, line):\\n comment_start = line.find('$')\\n if (comment_start >= 0):\\n line = line[:comment_start]\\n return line.lower()\",\n \"def remove_html_comment(html_data):\\n html_data = re.compile('<!--(.*?)-->', re.MULTILINE|re.DOTALL).sub(\\\"\\\", html_data)\\n return html_data\",\n \"def getComments(source):\\n\\n markup = []\\n for f in source:\\n markup += extractMarkup(f)\\n\\n docs = collateDocs(markup)\\n return docs\",\n \"def __remove_fortran_comments(self, line):\\n if self._in_block_comment:\\n log.error('Before Fortran line is processed, in a block comment?')\\n\\n new_chars = []\\n line_len = len(line)\\n ignore_spaces = False\\n for i in range(line_len):\\n if line[i] == ' ':\\n if not ignore_spaces:\\n ignore_spaces = True\\n new_chars.append(' ')\\n elif line[i] == '!':\\n new_chars.append(' ')\\n break\\n else:\\n ignore_spaces = False\\n new_chars.append(line[i])\\n\\n if self._in_block_comment:\\n log.error('Processing Fortran comment left state in a block comment?')\\n\\n new_line = ''.join(new_chars)\\n return new_line\",\n \"def extract_comment_py():\\n debug(\\\"extract comment from a python script.\\\")\\n for line in CURRENT_BUFFER[:3]:\\n if re.search(r\\\"coding[:=]\\\\s*([-\\\\w.]+)\\\", line):\\n pattern = re.compile(r\\\"coding[:=]\\\\s*(?P<encoding>[-\\\\w.]+)\\\")\\n globals()['ENCODING'] = pattern.search(line).group('encoding')\\n debug(\\\"found encoding: %s\\\" % globals()['ENCODING'])\\n\\n lines = list(CURRENT_BUFFER)\\n for (i, iline) in enumerate(lines[:10]):\\n # find \\\"\\\"\\\" or ''' in the first few lines.\\n if '\\\"\\\"\\\"' in iline or \\\"'''\\\" in iline:\\n # find the end of it.\\n breaker = '\\\"\\\"\\\"' if '\\\"\\\"\\\"' in iline else \\\"'''\\\"\\n for j, jline in enumerate(lines[i+1:]):\\n if breaker in jline:\\n # found it, format the comment a little bit.\\n if j == 0:\\n # in the same line, this is a one line comment.\\n return [jline[jline.index(breaker)+3:jline.rindex(breaker)]]\\n else:\\n lines[i] = lines[i][lines[i].index(breaker)+3:]\\n lines[i+j+1] = lines[i+j+1][:lines[i+j+1].rindex(breaker)]\\n return lines[i:i+j+1]\\n else:\\n # end of the comment is not found.\\n return\\n else:\\n # comment might start with #\\n return extract_comment_sh(python_style=True)\",\n \"def unMarkupCommentsAndStrings(self, content):\\n\\n def replaceMarkups(match):\\n groupdict = match.groupdict()\\n if groupdict[\\\"str\\\"] is not None:\\n return self.strings[int(match.group(\\\"str\\\"))]\\n elif groupdict[\\\"comment\\\"] is not None:\\n return self.comments[int(match.group(\\\"comment\\\"))]\\n else:\\n assert False\\n\\n unMarkedup = markups.sub(replaceMarkups, content)\\n\\n return unMarkedup\",\n \"def skip_comments(filepointer):\\n\\tcomments = []\\n\\tdata = '#'\\n\\ttry:\\n\\t\\tpos = filepointer.tell()\\n\\texcept:\\n\\t\\tprint(\\\"Could not read file.\\\")\\n\\t\\treturn None\\t\\n\\t\\n\\twhile data[0] == '#':\\n\\t\\tdata = filepointer.readline()\\n\\t\\tif not data:\\n\\t\\t\\traise Exception(\\\"Unexpected end of file while reading comments.\\\")\\n\\n\\t\\tif data[0] == '#':\\n\\t\\t\\tcomments.append(data)\\n\\t\\t\\tpos = filepointer.tell()\\n\\t\\telse:\\n\\t\\t\\tfilepointer.seek(pos)\\n\\treturn comments\",\n \"def strip(self, src):\\r\\n # single-quoted character\\r\\n p = \\\"('.')\\\"\\r\\n \\r\\n # double-quoted string\\r\\n p += \\\"|(\\\\\\\"(?:[^\\\\\\\"\\\\\\\\\\\\\\\\]|\\\\\\\\\\\\\\\\.)*\\\\\\\")\\\"\\r\\n \\r\\n # single and multi-line comment\\r\\n p += \\\"|(//.*?$)|(/\\\\\\\\*[^*]*(?:\\\\\\\\*(?!/)[^*]*)*\\\\\\\\*/)\\\"\\r\\n \\r\\n # pre-processor directive\\r\\n p += \\\"|\\\" + \\\"(^\\\\\\\\s*#.*?$)\\\"\\r\\n\\r\\n regex = re.compile(p, re.MULTILINE)\\r\\n return regex.sub(' ', src)\",\n \"def extract_comment_sh(python_style=False):\\n if not python_style:\\n debug(\\\"extract comment from a shell script.\\\")\\n lines = list(CURRENT_BUFFER)\\n if lines[0].startswith(\\\"#!\\\"):\\n lines = lines[1:]\\n\\n if python_style and re.search(r\\\"coding[:=]\\\\s*([-\\\\w.]+)\\\", lines[0]):\\n # strip encoding line.\\n lines = lines[1:]\\n\\n for i, line in enumerate(lines):\\n if not line.startswith(\\\"#\\\"):\\n break\\n else:\\n i += 1\\n return [line.lstrip(\\\"# \\\") for line in lines[:i]]\",\n \"def _parse_comments(reader):\\n regex = r'\\\\s*(#|\\\\/{2}).*$'\\n regex_inline = r'(:?(?:\\\\s)*([A-Za-z\\\\d\\\\.{}]*)|((?<=\\\\\\\").*\\\\\\\"),?)(?:\\\\s)*(((#|(\\\\/{2})).*)|)$'\\n\\n pipe = []\\n for line in reader:\\n if re.search(regex, line):\\n if re.search(r'^' + regex, line, re.IGNORECASE): continue\\n elif re.search(regex_inline, line):\\n pipe.append(re.sub(regex_inline, r'\\\\1', line))\\n else:\\n pipe.append(line)\\n return \\\"\\\\n\\\".join(pipe)\",\n \"def dedent(comment):\\n commentLines = comment.split('\\\\n')\\n if len(commentLines) < 2:\\n cleaned = list(map(str.lstrip, commentLines))\\n else:\\n spc = 0\\n for char in commentLines[1]:\\n if char in string.whitespace:\\n spc = spc + 1\\n else:\\n break\\n #now check other lines\\n cleaned = []\\n for line in commentLines:\\n for i in range(min(len(line),spc)):\\n if line[0] in string.whitespace:\\n line = line[1:]\\n cleaned.append(line)\\n return '\\\\n'.join(cleaned)\",\n \"def hide_magic(source: str) -> str:\\n\\n def _hide_magic_line(line: str) -> str:\\n return f\\\"###MAGIC###{line}\\\" if contains_magic(line) else line\\n\\n return \\\"\\\\n\\\".join(_hide_magic_line(line) for line in source.split(\\\"\\\\n\\\"))\",\n \"def _PreParse(line: str) -> str:\\n line = line.rstrip(\\\"\\\\n\\\")\\n\\n commentIndex = line.find(\\\"/\\\")\\n\\n # no comment found\\n if commentIndex == - 1:\\n return line\\n\\n # truncate\\n return line[0:commentIndex]\",\n \"def cleanup_code( content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def removeComment(line):\\n ind = line.find('%')\\n while True:\\n if ind < 0:\\n return line\\n elif (ind > 0 and line[ind-1] != '\\\\\\\\') or ind == 0:\\n break\\n else:\\n ind = line.find('%', ind+1)\\n return line[:ind]\",\n \"def test_remove_single_line_comments_annotation():\\n\\n\\tinput_ = \\\"\\\"\\\"line1\\n\\t\\t\\t\\tline2 \\n\\t\\t\\t\\t//comment\\n\\t\\t\\t\\t//@Test //comment\\n\\t\\t\\t\\t//comment\\n\\t\\t\\t\\tline3 \\\"\\\"\\\"\\n\\n\\texpect = \\\"\\\"\\\"line1\\n\\t\\t\\t\\tline2 \\n\\t\\t\\t\\t\\n\\t\\t\\t\\t//@Test //comment\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tline3 \\\"\\\"\\\"\\n\\n\\tassert aunit.remove_single_line_comments(input_) == expect\",\n \"def listFromLines(lines):\\n reComment = re.compile('#.*')\\n temp = [reComment.sub('',x).strip() for x in lines.split('\\\\n')]\\n temp = [x for x in temp if x]\\n return temp\",\n \"def cleanup_code(content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def clean_code(ls):\\r\\n ls = remove_white_space(ls)\\r\\n ls = remove_comments(ls)\\r\\n ls = remove_empty_lines(ls)\\r\\n\\r\\n return ls\",\n \"def strip_comment_line_with_symbol(line, start): # pragma: no cover\\n parts = line.split(start)\\n counts = [len(re.findall(r'(?:^|[^\\\"\\\\\\\\]|(?:\\\\\\\\\\\\\\\\|\\\\\\\\\\\")+)(\\\")', part))\\n for part in parts]\\n total = 0\\n for nr, count in enumerate(counts):\\n total += count\\n if total % 2 == 0:\\n return start.join(parts[:nr + 1]).rstrip()\\n else: # pragma: no cover\\n return line.rstrip()\",\n \"def clean_docstring(doc: str, unused: Literal[\\\"pre\\\", \\\"post\\\"] = None) -> str:\\n doc = doc.split(\\\"\\\\n\\\")\\n if unused == \\\"pre\\\":\\n try:\\n index = next(i for i, l in enumerate(doc) if l.strip())\\n doc = doc[index:]\\n except StopIteration:\\n doc = []\\n elif unused == \\\"post\\\":\\n try:\\n index = next(i for i, l in enumerate(reversed(doc)) if l.strip())\\n doc = doc[: len(doc) - index]\\n except StopIteration:\\n doc = []\\n if doc:\\n first_line = doc[0]\\n index = len(first_line) - len(first_line.lstrip())\\n indent = first_line[:index]\\n if all(l.startswith(indent) for l in doc if l.strip()):\\n doc = [(l[index:] if l.strip() else l) for l in doc]\\n return \\\"\\\\n\\\".join(doc)\",\n \"def getcomments(object):\\r\\n try:\\r\\n lines, lnum = findsource(object)\\r\\n except (IOError, TypeError):\\r\\n return None\\r\\n\\r\\n if ismodule(object):\\r\\n # Look for a comment block at the top of the file.\\r\\n start = 0\\r\\n if lines and lines[0][:2] == '#!': start = 1\\r\\n while start < len(lines) and string.strip(lines[start]) in ('', '#'):\\r\\n start = start + 1\\r\\n if start < len(lines) and lines[start][:1] == '#':\\r\\n comments = []\\r\\n end = start\\r\\n while end < len(lines) and lines[end][:1] == '#':\\r\\n comments.append(string.expandtabs(lines[end]))\\r\\n end = end + 1\\r\\n return string.join(comments, '')\\r\\n\\r\\n # Look for a preceding block of comments at the same indentation.\\r\\n elif lnum > 0:\\r\\n indent = indentsize(lines[lnum])\\r\\n end = lnum - 1\\r\\n if end >= 0 and string.lstrip(lines[end])[:1] == '#' and \\\\\\r\\n indentsize(lines[end]) == indent:\\r\\n comments = [string.lstrip(string.expandtabs(lines[end]))]\\r\\n if end > 0:\\r\\n end = end - 1\\r\\n comment = string.lstrip(string.expandtabs(lines[end]))\\r\\n while comment[:1] == '#' and indentsize(lines[end]) == indent:\\r\\n comments[:0] = [comment]\\r\\n end = end - 1\\r\\n if end < 0: break\\r\\n comment = string.lstrip(string.expandtabs(lines[end]))\\r\\n while comments and string.strip(comments[0]) == '#':\\r\\n comments[:1] = []\\r\\n while comments and string.strip(comments[-1]) == '#':\\r\\n comments[-1:] = []\\r\\n return string.join(comments, '')\",\n \"def stripText(self, rawText):\\n strippedText = []\\n for line in rawText:\\n if line.rstrip():\\n if line[0] != '#':\\n strippedText.append(line.rstrip()) #also remove newline character\\n return strippedText\",\n \"def _RemoveStaleComments(content: str) -> str:\\n for match in STALE_GROUP_COMMENT_REGEX.findall(content):\\n content = content.replace(match, '')\\n\\n return content\",\n \"def cleanup_code(content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def toggle_comment(self):\\n r = vim.current.range\\n rlen = r.end - r.start + 1\\n ac = self.all_comment(r, 0, rlen)\\n for i in range(0, rlen):\\n r[i] = r[i].replace(self._cstr, '')\\n if not ac:\\n for i in range(0, rlen):\\n r[i] = re.sub(r'^(\\\\s*)', r'\\\\1{0}'.format(self._cstr), r[i])\",\n \"def cleanup_code(self, content):\\n\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n if content[-4] == '\\\\n':\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n return '\\\\n'.join(content.split('\\\\n')[1:]).rstrip('`')\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def minimize_source(source):\\n if not isinstance(source, mitogen.core.UnicodeType):\\n source = source.decode('utf-8')\\n tokens = tokenize.generate_tokens(StringIO(source).readline)\\n tokens = strip_comments(tokens)\\n tokens = strip_docstrings(tokens)\\n tokens = reindent(tokens)\\n return tokenize.untokenize(tokens)\",\n \"def _parse_comment(i, doc):\\n\\n if doc[i].strip() != \\\"/**\\\":\\n raise ParseFailure(i, \\\"Expected beginning of block comment\\\")\\n\\n e = i + 1\\n while e < len(doc) and doc[e].strip() != \\\"*/\\\":\\n e += 1\\n\\n return e + 1, [x.rstrip() for x in doc[i + 1: e]]\",\n \"def strip_comment_line_with_symbol(line, start):\\n parts = line.split(start)\\n counts = [len(re.findall(r'(?:^|[^\\\"\\\\\\\\]|(?:\\\\\\\\\\\\\\\\|\\\\\\\\\\\")+)(\\\")', part))\\n for part in parts]\\n total = 0\\n for nr, count in enumerate(counts):\\n total += count\\n if total % 2 == 0:\\n return start.join(parts[:nr + 1]).rstrip()\\n else: # pragma: no cover\\n return line.rstrip()\",\n \"def clean_comment(pair):\\n pair = [remove_newlines(i) for i in pair]\\n pair = [i.strip() for i in pair]\\n # Remove colons\\n pair[0] = pair[0].replace(':', '')\\n # Remove excess whitespace\\n whitespace_regex = re.compile('\\\\s\\\\s+')\\n pair[1] = whitespace_regex.sub(' ', pair[1])\\n return pair\",\n \"def skipComment(self):\\r\\n\\t\\tch = self.nextChar()\\r\\n\\t\\twhile ch and ch != \\\"\\\\n\\\":\\r\\n\\t\\t\\tch = self.nextChar()\",\n \"def cleanup_code(self, content):\\n # remove ```py\\\\n```\\n if content.startswith('```') and content.endswith('```'):\\n return '\\\\n'.join(content.split('\\\\n')[1:-1])\\n\\n # remove `foo`\\n return content.strip('` \\\\n')\",\n \"def comment_cleaner(text):\\n text = re.sub(\\\"[^\\\\w\\\\s]\\\", \\\"\\\", text)\\n text = \\\" \\\".join([x.lower() for x in text.split(' ') if x.lower() in corpus and x.lower() not in stopwords and len(x) > 1])\\n if text == '':\\n return np.nan\\n return text\",\n \"def parse_comment(comment: Union[Token, PsuedoToken]) -> str:\\n # Happens when there is no documentation comment in the source file for the\\n # item.\\n spelling = comment.spelling\\n if spelling is None:\\n return \\\"\\\"\\n\\n # Comments from clang start at the '/*' portion, but if the comment itself\\n # is indented subsequent lines will have too much indent.\\n # Transform::\\n #\\n # \\\"/**\\\\n * hello some comment\\\\n * on multiple lines\\\\n */\\\"\\n #\\n # into::\\n #\\n # \\\"/**\\\\n * hello some comment\\\\n * on multiple lines\\\\n */\\\"\\n indent = \\\" \\\" * (comment.extent.start.column - 1)\\n indented_comment = indent + spelling\\n dedented_comment = textwrap.dedent(indented_comment)\\n\\n # Notes on the regex here.\\n # Option 1 '\\\\s?\\\\*/?'\\n # This piece will match comment lines that start with '*' or ' *'.\\n # This will also match a trailing '*/' for the end of a comment\\n #\\n # Option 2 '^/\\\\*+<?'\\n # This will match the start of a comment '/*' and consume any\\n # subsequent '*'. This is also meant to catch '/**<' for trailing comments.\\n #\\n # Option 3 '\\\\*+/'\\n # Matches any and all '*' up to the end of the comment string.\\n contents = re.sub(\\n r\\\"^\\\\s?\\\\*/?|^/\\\\*+<?|\\\\*+/\\\",\\n lambda x: len(x.group(0)) * \\\" \\\",\\n dedented_comment,\\n flags=re.MULTILINE,\\n )\\n\\n contents = textwrap.dedent(contents)\\n\\n # there may still be left over newlines so only strip those, but leave any\\n # whitespaces.\\n contents = contents.strip(\\\"\\\\n\\\")\\n\\n return contents\",\n \"def print_comments():\\n with open('a_cpp_file.cpp', 'r') as file:\\n data = file.read()\\n to_print = ''\\n should_print = False\\n for i, char in enumerate(data):\\n if i > 1:\\n if data[i-1] == '*' and data[i-2] == '/':\\n should_print = True\\n if char == '*' and data[i+1] == '/' and should_print:\\n should_print = False\\n print(to_print)\\n to_print = ''\\n if should_print:\\n to_print += char\\n should_print = False\\n for i, char in enumerate(data):\\n if i > 1:\\n if data[i-1] == '/' and data[i-2] == '/':\\n should_print = True\\n if char == '\\\\n' and should_print:\\n should_print = False\\n print(to_print)\\n to_print = ''\\n if should_print:\\n to_print += char\",\n \"def stripped_lines(lines, ignore_comments, ignore_docstrings, ignore_imports):\\n if ignore_imports:\\n tree = astroid.parse(\\\"\\\".join(lines))\\n node_is_import_by_lineno = (\\n (node.lineno, isinstance(node, (astroid.Import, astroid.ImportFrom)))\\n for node in tree.body\\n )\\n line_begins_import = {\\n lineno: all(is_import for _, is_import in node_is_import_group)\\n for lineno, node_is_import_group in groupby(\\n node_is_import_by_lineno, key=lambda x: x[0]\\n )\\n }\\n current_line_is_import = False\\n\\n strippedlines = []\\n docstring = None\\n for lineno, line in enumerate(lines, start=1):\\n line = line.strip()\\n if ignore_docstrings:\\n if not docstring and any(\\n line.startswith(i) for i in ['\\\"\\\"\\\"', \\\"'''\\\", 'r\\\"\\\"\\\"', \\\"r'''\\\"]\\n ):\\n docstring = line[:3]\\n line = line[3:]\\n if docstring:\\n if line.endswith(docstring):\\n docstring = None\\n line = \\\"\\\"\\n if ignore_imports:\\n current_line_is_import = line_begins_import.get(\\n lineno, current_line_is_import\\n )\\n if current_line_is_import:\\n line = \\\"\\\"\\n if ignore_comments:\\n line = line.split(\\\"#\\\", 1)[0].strip()\\n strippedlines.append(line)\\n return strippedlines\",\n \"def test_dislike_a_comment(self):\\n self.base_test()\",\n \"def process_comment(self, data):\\r\\n if not self.is_suppress:\\r\\n return [data]\",\n \"def make_comment(self, input, start, end, elements):\\n return elements[1].text.strip('{}')\",\n \"def trim_comment(line):\\n if ';' not in line:\\n return (line, None)\\n\\n comment_start = line.index(';')\\n before_comment = line[:comment_start]\\n spaces_before_comment = len(before_comment) - len(before_comment.rstrip())\\n comment = line[comment_start:]\\n return (before_comment.rstrip(), spaces_before_comment * ' ' + comment)\",\n \"def sanitize_comment(comment):\\n\\n if hasattr(settings, \\\"BLEACH_ALLOWED_TAGS\\\"):\\n allowed_tags = settings.BLEACH_ALLOWED_TAGS\\n else:\\n allowed_tags = bleach.sanitizer.ALLOWED_TAGS\\n\\n return bleach.clean(comment, tags=allowed_tags, strip=True)\",\n \"def remove_curl_debug_lines(text: str) -> str:\\n lines = text.split(\\\"\\\\n\\\")\\n lines = [line for line in lines if not line.startswith(\\\"**\\\")]\\n return \\\"\\\\n\\\".join(lines)\",\n \"def clean(text):\\n lines = text.split('\\\\n')\\n\\n indx = range(len(lines))\\n indx.reverse()\\n for i in indx:\\n temp = lines[i].strip()\\n if temp == '' or temp.startswith('#'):\\n del lines[i]\\n else:\\n lines[i] = temp\\n\\n return lines\",\n \"def clean_tinymce(input):\\n result = input\\n result = result.replace(u'<#document-fragment>', u'') # A strange bug that the NIVE client experiences but that we can't reproduce.\\n result = result.replace(u'<#document-fragment>', u'') # A strange bug that the NIVE client experiences but that we can't reproduce.\\n result = html_comments.sub(u'', result)\\n return result\",\n \"def block_comments(code):\\n block = list()\\n for line in code:\\n if bool(line.strip()): # If line is not empty\\n if line.strip()[0] == '!': # If the first character of the string is the start of a comment it adds it\\n block.append(identify_comment(line))\\n elif bool(line.strip()): # If the first character of the string is not the start of a comment or its not empty it exits\\n break\\n return block\",\n \"def getHTMLComments(self, text):\\n return self.doSpecial(text, '<!--', '-->', self.fParseHTMLComments)\",\n \"def remove_comments(ctx, files):\\n # CD into Salt's repo root directory\\n ctx.cd(CODE_DIR)\\n\\n # Unfortunately invoke does not support nargs.\\n # We migth have been passed --files=\\\"foo.py bar.py\\\"\\n # Turn that into a list of paths\\n _files = []\\n for path in files:\\n if not path:\\n continue\\n _files.extend(path.split())\\n if not _files:\\n utils.exit_invoke(0)\\n\\n _files = [\\n pathlib.Path(fname).resolve() for fname in _files if fname.endswith(\\\".py\\\")\\n ]\\n\\n fixes = 0\\n exitcode = 0\\n comments_regex = re.compile(r\\\"^# ([I|i])mports? .*(([L|l])ibs?)?\\\\n\\\", re.MULTILINE)\\n for path in _files:\\n contents = path.read_text()\\n fixed = comments_regex.sub(\\\"\\\", contents)\\n if fixed == contents:\\n continue\\n fixes += 1\\n exitcode = 1\\n path.write_text(fixed)\\n if exitcode:\\n utils.error(\\\"Fixed {} files\\\", fixes)\\n utils.exit_invoke(exitcode)\",\n \"def docstring_hack():\\n pass\",\n \"def _preprocess(self, source):\\n source = source.replace(u'\\\\n', u'').strip()\\n source = re.sub(r'<br\\\\s*\\\\/?\\\\s*>', u' ', source, re.I)\\n source = re.sub(r'\\\\s\\\\s+', u' ', source)\\n return source\",\n \"def lines(filename, exclude_imports=True, exclude_comments=True, exclude_tests=True, exclude_globals=True, exclude_blank=True, verbose=False, is_c=False, s=None):\\n if s is None:\\n s = open(filename, 'rt').read()\\n\\n L = s.split('\\\\n')\\n \\n # Hack to strip out triple and single quote string lines in a heuristic (unreliable) way, which avoids parsing Cython\\n if not is_c:\\n for i in range(len(L)):\\n if L[i].strip().startswith(\\\"'\\\") and L[i].strip().endswith(\\\"'\\\"):\\n L[i] = ''\\n i = 0\\n while i < len(L):\\n found = False\\n for triple_quote in ['\\\"\\\"\\\"', \\\"'''\\\"]:\\n if L[i].strip().startswith(triple_quote):\\n L[i] = L[i].strip()[3:]\\n for j in range(i, len(L)):\\n if triple_quote in L[j]:\\n found = True\\n L[j] = ''\\n if found:\\n break\\n i = j+1\\n if not found:\\n i += 1\\n else:\\n begin_comment = '/*'\\n end_comment = '*/'\\n i = 0\\n while i < len(L):\\n found = False\\n if begin_comment in L[i]:\\n rest = L[i][L[i].index(begin_comment)+len(begin_comment):]\\n L[i] = L[i][:L[i].index(begin_comment)]\\n if end_comment in rest:\\n found = True\\n i += 1\\n else:\\n for j in range(i+1, len(L)):\\n if end_comment in L[j]:\\n found = True\\n L[j] = L[j][L[j].index(end_comment)+len(end_comment):]\\n else:\\n L[j] = ''\\n if found:\\n break\\n i = j + 1\\n if not found:\\n i += 1\\n\\n# util.print_header('Lines before exclude_tests:' + filename, '\\\\n'.join(L))\\n\\n # Hack to strip out def test() and other methods in a heuristic (unreliable) way, which avoids parsing Cython\\n if exclude_tests:\\n # Also exclude makeColorMatrix so that our camera pipe is apples-to-apples comparable with reported lines in Halide paper\\n if not is_c:\\n methods = 'test run_test_all mandelbrot_gray mandelbrot_color composite_numpy composite_numexpr makeColorMatrix'.split()\\n else:\\n methods = ['int main', 'void main']\\n i = 0\\n while i < len(L):\\n L_i_strip = L[i].strip()\\n if ((not is_c and (any(L_i_strip.startswith('def ' + method) for method in methods) or\\n any(L_i_strip.startswith('cdef ' + method) for method in methods))) or\\n (is_c and (any(L_i_strip.startswith(method) for method in methods)))):\\n L[i] = ''\\n for j in range(i+1, len(L)):\\n L_j_strip = L[j].strip()\\n c_ok = True\\n if is_c:\\n c_ok = L_j_strip != '{' and L_j_strip != '}'\\n if not L[j].startswith(' ') and not L[j].startswith('\\\\t') and not len(L[j].strip()) == 0 and c_ok:\\n break\\n else:\\n L[j] = ''\\n i = j\\n elif (L[i].strip().startswith('test(') or L[i].strip().startswith('run_test_all(')) and not is_c:\\n L[i] = ''\\n i += 1\\n else:\\n i += 1\\n\\n# util.print_header('Lines before exclude_imports:' + filename, '\\\\n'.join(L))\\n if exclude_imports:\\n if not is_c:\\n L = [x for x in L if not x.lstrip().startswith('import') and not x.lstrip().startswith('cimport') and not x.startswith('cdef extern')]\\n else:\\n L = [x for x in L if not x.lstrip().startswith('#include')]\\n# util.print_header('Lines before exclude_comments:' + filename, '\\\\n'.join(L))\\n if exclude_comments:\\n if not is_c:\\n L = [x for x in L if not x.lstrip().startswith('#') and not x.strip() == 'pass']\\n else:\\n L = [x for x in L if not x.lstrip().startswith('//')]\\n# util.print_header('Lines before exclude_globals:' + filename, '\\\\n'.join(L))\\n if exclude_globals and not is_c:\\n L = [x for x in L if (x.startswith(' ') or x.startswith('\\\\t') or x.startswith('def') or x.startswith('cdef')) and (not x.lstrip().startswith('has_'))]\\n# util.print_header('Lines before exclude_blank:' + filename, '\\\\n'.join(L))\\n\\n if is_c:\\n # Also exclude makeColorMatrix so that C camera pipe is apples-to-apples comparable with reported lines in Halide paper\\n L = [x for x in L if not x.lstrip().startswith('matrix_3200') and not x.lstrip().startswith('matrix_7000')]\\n if exclude_blank:\\n L = [x for x in L if not len(x.strip()) == 0]\\n\\n if verbose:\\n util.print_header('Final lines for:' + filename, '\\\\n'.join(L))\\n\\n return len(L)\",\n \"def parse_code_comment(self, filepath):\\n raise NotImplementedError('Not Implemented')\",\n \"def _clean_message(comment):\\n message = comment['message']\\n # Remove comments with linked persons (they mostly contain only emojis)\\n if 'message_tags' in comment:\\n for tag in comment['message_tags']:\\n if 'type' in tag and tag['type'] == 'user':\\n message = message.replace(tag['name'], '')\\n # Remove links\\n message = re.sub(r'http\\\\S+', '', message)\\n return message.strip()\",\n \"def test_comments(self):\\n fp = FilePath(self.mktemp())\\n fp.setContent('something\\\\n#commented\\\\ncool')\\n self.assertEqual(list(inventoryReader(fp.path)), ['something', 'cool'])\",\n \"def implement(self):\\n\\t#@DEBUG remove comments\",\n \"def skip(self):\\n input = self.source\\n startLine = self.line\\n\\n # Whether this is the first called as happen on start parsing a file (eat leading comments/white space)\\n startOfFile = self.cursor is 0\\n \\n indent = \\\"\\\"\\n \\n while (True):\\n if len(input) > self.cursor:\\n ch = input[self.cursor]\\n else:\\n return\\n \\n self.cursor += 1\\n \\n if len(input) > self.cursor:\\n next = input[self.cursor]\\n else:\\n next = None\\n\\n if ch == \\\"\\\\n\\\" and not self.scanNewlines:\\n self.line += 1\\n indent = \\\"\\\"\\n \\n elif ch == \\\"/\\\" and next == \\\"*\\\":\\n self.cursor += 1\\n text = \\\"/*\\\"\\n inline = startLine == self.line and startLine > 1\\n commentStartLine = self.line\\n if startLine == self.line and not startOfFile:\\n mode = \\\"inline\\\"\\n elif (self.line-1) > startLine:\\n # distance before this comment means it is a comment block for a whole section (multiple lines of code)\\n mode = \\\"section\\\"\\n else:\\n # comment for maybe multiple following lines of code, but not that important (no visual white space divider)\\n mode = \\\"block\\\"\\n \\n while (True):\\n try:\\n ch = input[self.cursor]\\n self.cursor += 1\\n except IndexError:\\n raise ParseError(\\\"Unterminated comment\\\", self.fileId, self.line)\\n \\n if ch == \\\"*\\\":\\n next = input[self.cursor]\\n if next == \\\"/\\\":\\n text += \\\"*/\\\"\\n self.cursor += 1\\n break\\n \\n elif ch == \\\"\\\\n\\\":\\n self.line += 1\\n \\n text += ch\\n \\n \\n # Filter escaping on slash-star combinations in comment text\\n text = text.replace(\\\"*\\\\/\\\", \\\"*/\\\")\\n \\n try:\\n self.comments.append(Comment.Comment(text, mode, commentStartLine, indent, self.fileId))\\n except Comment.CommentException as commentError:\\n Console.error(\\\"Ignoring comment in %s: %s\\\", self.fileId, commentError)\\n \\n \\n elif ch == \\\"/\\\" and next == \\\"/\\\":\\n self.cursor += 1\\n text = \\\"//\\\"\\n if startLine == self.line and not startOfFile:\\n mode = \\\"inline\\\"\\n elif (self.line-1) > startLine:\\n # distance before this comment means it is a comment block for a whole section (multiple lines of code)\\n mode = \\\"section\\\"\\n else:\\n # comment for maybe multiple following lines of code, but not that important (no visual white space divider)\\n mode = \\\"block\\\"\\n \\n while (True):\\n try:\\n ch = input[self.cursor]\\n self.cursor += 1\\n except IndexError:\\n # end of file etc.\\n break\\n\\n if ch == \\\"\\\\n\\\":\\n self.line += 1\\n break\\n \\n text += ch\\n \\n try:\\n self.comments.append(Comment.Comment(text, mode, self.line-1, \\\"\\\", self.fileId))\\n except Comment.CommentException:\\n Console.error(\\\"Ignoring comment in %s: %s\\\", self.fileId, commentError)\\n\\n # check for whitespace, also for special cases like 0xA0\\n elif ch in \\\"\\\\xA0 \\\\t\\\":\\n indent += ch\\n\\n else:\\n self.cursor -= 1\\n return\",\n \"def extract_docstring(loaded):\\n\\n source = loaded['cells'][0]['source']\\n\\n assert source[0].strip() == '\\\"\\\"\\\"'\\n assert source[-1].strip() == '\\\"\\\"\\\"'\\n\\n return ' '.join(i.strip() for i in source[1:-1])\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.75588655","0.75129175","0.749204","0.73860633","0.73546356","0.7324829","0.72374445","0.71416444","0.711339","0.6960461","0.6960461","0.6952356","0.6892819","0.68833077","0.6868674","0.6861091","0.6856785","0.676051","0.67446506","0.6728799","0.6727674","0.6724714","0.6707175","0.66807467","0.667315","0.6668189","0.66435033","0.66254854","0.66162","0.66085774","0.65951186","0.65736073","0.6537083","0.6528689","0.6515998","0.64742666","0.64642775","0.6441234","0.64359754","0.64288074","0.64198416","0.641012","0.6405897","0.63365793","0.63111144","0.6298483","0.6292943","0.6274877","0.6268455","0.6268124","0.6256677","0.6255419","0.6241036","0.62279487","0.62170583","0.6208556","0.6169485","0.6161645","0.6148886","0.61455697","0.6142864","0.61210024","0.61108273","0.60958654","0.60682625","0.6030614","0.602931","0.60185385","0.6000323","0.59986377","0.5991848","0.59819514","0.5981819","0.59790814","0.5970963","0.5939837","0.5939558","0.5939266","0.593707","0.59115154","0.5883732","0.58800626","0.5875241","0.58733565","0.586912","0.58522767","0.5840889","0.5834861","0.58315915","0.58189857","0.5814354","0.58114666","0.578702","0.5765274","0.5763269","0.5757027","0.5742677","0.57408607","0.57307595","0.5723984"],"string":"[\n \"0.75588655\",\n \"0.75129175\",\n \"0.749204\",\n \"0.73860633\",\n \"0.73546356\",\n \"0.7324829\",\n \"0.72374445\",\n \"0.71416444\",\n \"0.711339\",\n \"0.6960461\",\n \"0.6960461\",\n \"0.6952356\",\n \"0.6892819\",\n \"0.68833077\",\n \"0.6868674\",\n \"0.6861091\",\n \"0.6856785\",\n \"0.676051\",\n \"0.67446506\",\n \"0.6728799\",\n \"0.6727674\",\n \"0.6724714\",\n \"0.6707175\",\n \"0.66807467\",\n \"0.667315\",\n \"0.6668189\",\n \"0.66435033\",\n \"0.66254854\",\n \"0.66162\",\n \"0.66085774\",\n \"0.65951186\",\n \"0.65736073\",\n \"0.6537083\",\n \"0.6528689\",\n \"0.6515998\",\n \"0.64742666\",\n \"0.64642775\",\n \"0.6441234\",\n \"0.64359754\",\n \"0.64288074\",\n \"0.64198416\",\n \"0.641012\",\n \"0.6405897\",\n \"0.63365793\",\n \"0.63111144\",\n \"0.6298483\",\n \"0.6292943\",\n \"0.6274877\",\n \"0.6268455\",\n \"0.6268124\",\n \"0.6256677\",\n \"0.6255419\",\n \"0.6241036\",\n \"0.62279487\",\n \"0.62170583\",\n \"0.6208556\",\n \"0.6169485\",\n \"0.6161645\",\n \"0.6148886\",\n \"0.61455697\",\n \"0.6142864\",\n \"0.61210024\",\n \"0.61108273\",\n \"0.60958654\",\n \"0.60682625\",\n \"0.6030614\",\n \"0.602931\",\n \"0.60185385\",\n \"0.6000323\",\n \"0.59986377\",\n \"0.5991848\",\n \"0.59819514\",\n \"0.5981819\",\n \"0.59790814\",\n \"0.5970963\",\n \"0.5939837\",\n \"0.5939558\",\n \"0.5939266\",\n \"0.593707\",\n \"0.59115154\",\n \"0.5883732\",\n \"0.58800626\",\n \"0.5875241\",\n \"0.58733565\",\n \"0.586912\",\n \"0.58522767\",\n \"0.5840889\",\n \"0.5834861\",\n \"0.58315915\",\n \"0.58189857\",\n \"0.5814354\",\n \"0.58114666\",\n \"0.578702\",\n \"0.5765274\",\n \"0.5763269\",\n \"0.5757027\",\n \"0.5742677\",\n \"0.57408607\",\n \"0.57307595\",\n \"0.5723984\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6970854"},"document_rank":{"kind":"string","value":"9"}}},{"rowIdx":4780,"cells":{"query":{"kind":"string","value":"Returns the total line count, nonblank line count, and net line count excluding comments and docstrings"},"document":{"kind":"string","value":"def loc(blob, delim='#'):\n total = get_line_count(blob)\n blob = strip_blanklines(blob)\n nonblank = get_line_count(blob)\n blob = strip_docstring(blob)\n blob = strip_comments(blob, delim)\n net = get_line_count(blob)\n num_inputs = len([m.start() for m in re.finditer('input ?\\(', blob)])\n return { 'total': total, 'nonblank': nonblank, 'net': net, 'num_inputs': num_inputs}"},"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 test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 11)","def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 4)","def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 4)","def test_line_count(self):\n\t\tself.assertEqual(analyse_text(self.filename)[0], 4)","def get_total_line_counts(self):\n return get_total_line_counts(self.files.all())","def get_linecount(self):\n self._update_linetab(len(self.input))\n lcount = len(self.__linepos)\n return lcount - (self.input.endswith('\\n'))","def calculate_line_number(text):\n return len([line for line in text.split(\"\\n\") if line.strip() != \"\"])","def linecount(x):\n return sum(1 for char in x if char == \"\\n\")","def __len__(self):\n nlines = self.get_endline() - self.get_startline() + 1\n if nlines < 0:\n nlines = 0\n return nlines","def _getOldCodeLength(self):\n nb_lines = 0\n for line in self.body.splitlines():\n if not line.startswith(\"+\"):\n nb_lines += 1\n return nb_lines","def n_lines(self):\n try: \n return self._n_lines\n except AttributeError:\n self._n_lines = len(self.lines())\n return self._n_lines","def linecounter(x):\n return linecount(x) + longlines(x)","def _getNewCodeLength(self):\n nb_lines = 0\n for line in self.body.splitlines():\n if not line.startswith(\"-\"):\n nb_lines += 1\n return nb_lines","def test_line_counts(self):\n diff = (\n b'+ This is some line before the change\\n'\n b'- And another line\\n'\n b'Index: foo\\n'\n b'- One last.\\n'\n b'--- README 123\\n'\n b'+++ README (new)\\n'\n b'@@ -1,1 +1,1 @@\\n'\n b'-blah blah\\n'\n b'-blah\\n'\n b'+blah!\\n'\n b'-blah...\\n'\n b'+blah?\\n'\n b'-blah!\\n'\n b'+blah?!\\n')\n files = DiffParser(diff).parse()\n\n self.assertEqual(len(files), 1)\n self.assertEqual(files[0].insert_count, 3)\n self.assertEqual(files[0].delete_count, 4)","def no_of_lines():\n number_of_lines = len(open(FILE_NAME).readlines())\n return number_of_lines","def num_lines(self, snapshot: Bug, filepath: str) -> int:\n return len(self._line_offsets(snapshot, filepath))","def _count_comment_rows(vcf_path):\n vcf_lines_generator = lines_from_vcf(vcf_path)\n\n comment_lines_count = 0\n for line in vcf_lines_generator:\n if line.startswith('#'):\n comment_lines_count += 1\n else:\n vcf_lines_generator.close() # Don't leave the file handle opened\n # Don't continue reading the VCF once the comments section ended\n break\n\n return comment_lines_count","def sentence_count(self):\n count = 0\n for line in self.lines:\n if '.' in line:\n count += 1\n if count == 0:\n count = 1\n return count\n #return line.count('.')\n #else:\n #return 1","def get_line_count(blob):\n return len(blob.split('\\n'))","def analyzeCppCode(self, sourceFile):\n numLines = 0 # Number of lines of code\n numComments = 0 # Number of comments in the code\n\n f=self.openFile(sourceFile)\n for line in f:\n numLines += 1;\n loc = 0\n while (loc != -1): #count the # of times the '/*' characters appears\n loc = line.find(\"#\", loc)\n if (loc != -1):\n loc += 1\n numComments += 1\n \n loc = 0\n loc = line.find('//', loc) #count the # of times the '//' characters appears\n if (loc != -1):\n loc += 1\n numComments += 1\n \n f.close()\n return numLines, numComments","def line_count(fname):\n return int(call(['wc', '-l', fname]).strip().split()[0])","def line_count(file):\n with open(file, \"r\") as f:\n return sum(1 for line in f)","def number_of_lines(filename=\"\"):\n num_lines = 0\n with open(filename, encoding=\"utf-8\") as myFile:\n return myFile.read().count('\\n')","def CountLineNumber(filename):\n\n fp = open(os.path.abspath(filename), \"r\");\n lines = 0\n for line in fp.readlines():\n lines = lines + 1\n fp.close()\n return lines","def lineNumber(self):\n if self.__lineNumber is None:\n self.__lineNumber = self.__source.count(\"\\n\", 0, self.__offset) + 1\n\n return self.__lineNumber","def no_of_lines():\n return render_template(\"no_of_lines.html\", no_of_lines=no_of_lines())","def count_lines(file_uri):\n\n with open(file_uri) as file_obj:\n for i, line in enumerate(file_obj):\n pass\n num_lines = i + 1\n return num_lines","def get_number_lines(running_reward_file, running_loss_file, action_count_file):\n if Path(running_reward_file).exists():\n data = np.loadtxt(running_reward_file).reshape(-1,2)\n return data.shape[0]\n if Path(running_loss_file).exists():\n data = np.loadtxt(running_loss_file).reshape(-1,2)\n return data.shape[0]\n if Path(action_count_file).exists():\n data = np.loadtxt(action_count_file).reshape(-1,2)\n return data.shape[0]\n raise NameError(\"No files to count lines\")","def countLines(file_name, start, end):\r\n\r\n with open(file_name, \"r\") as file:\r\n counter_lines = 0\r\n\r\n for line in islice(file, start, end):\r\n counter_lines += 1\r\n\r\n return counter_lines","def len(self):\n\t\t\n\t\treturn len(self.line)","def lines_processed(self) -> int:\n with self.lock:\n return self._lines_processed","def word_count(self):\n print(self.words())\n return len(self.words())\n #count = 0\n #for lines in self.lines:\n # line = lines.strip(os.linesep)\n # wordslst = line.split()\n # count += len(wordslst)\n #return count\n #joined_string = ''.join(self.lines)\n #for word in joined_string:\n # if word != ' ' and word != '\\n' and word != '\\t':\n # count += 1\n #print('READ ME ––––––––––', self.lines)\n #print(joined_string)\n #print(line)\n #print(wordslst)\n #print(count)","def fileLineCount(fPath):\n\twith open(fPath) as f:\n\t\tfor i, li in enumerate(f):\n\t\t\tpass\n\treturn (i + 1)","def _loc(self) -> int:\n return len(self.lines)","def header_len(self):\n if self.num_lines_header is None:\n Nheader = 0\n with self._compression_safe_file_opener(self.input_fname, \"r\") as f:\n for i, l in enumerate(f):\n if (l[0 : len(self.header_char)] == self.header_char) or (\n l == \"\\n\"\n ):\n Nheader += 1\n else:\n break\n\n return Nheader\n else:\n return self.num_lines_header","def comments(self):\n lineno = 0\n novermin = set()\n src = self.__source\n if type(src) == bytes:\n src = src.decode(errors=\"ignore\")\n for line in src.splitlines():\n lineno += 1\n line = line.strip()\n m = RE_COMMENT.match(line)\n if m is not None:\n comment = m.group(2).strip()\n if comment == \"novermin\" or comment == \"novm\":\n # Ignore if it is inside another comment, like: `# test: # novm`\n if m.start(0) < m.start(1) and m.group(0).strip().startswith(\"#\"):\n continue\n # Associate with next line if the comment is \"alone\" on a line, i.e. '#' starts the line.\n novermin.add(lineno + 1 if m.start(1) == 0 else lineno)\n return novermin","def num_bytes_per_line(self):\n return self._num_bytes_per_line","def number_of_lines(filename=\"\"):\n count = 0\n with open(filename) as f:\n for lines in f:\n count += 1\n return (count)","def number_of_lines(filename=\"\"):\n c = 0\n with open(filename) as f:\n for r in f:\n c += 1\n return(c)","def countlines(fn):\n with open(fn, 'rb') as f:\n bufgen = takewhile(\n lambda x: x, (f.read(1024 * 1024) for _ in repeat(None)))\n ln = sum(buf.count(b'\\n') for buf in bufgen)\n return ln","def get_table_nb_lines(self, table):\n sql = \"SELECT COUNT(*) FROM \" + table + \";\"\n cur = self._connection.cursor()\n cur.execute(sql)\n res = cur.fetchall()\n cur.close()\n return res[0][0]","def test_counts(self):\n lines, words, chars = analyze_text(self.filename)\n self.assertEqual(lines, 4)\n self.assertEqual(words, 8)\n self.assertEqual(chars, 36)","def count_lines(filename):\r\n with open(filename, 'rb') as f:\r\n return sum(1 for line in f)","def get_file_line_count(a_file):\r\n count = -1\r\n try:\r\n for count, line in enumerate(open(a_file, \"rU\")):\r\n pass\r\n except IOError:\r\n pass\r\n count += 1\r\n return count","def get_file_line_count(a_file):\r\n count = -1\r\n try:\r\n for count, line in enumerate(open(a_file, \"rU\")):\r\n pass\r\n except IOError:\r\n pass\r\n count += 1\r\n return count","def num_lines(file_name):\n with open(file_name) as file:\n for i, line in enumerate(file):\n pass\n return i + 1","def count_lines(stream):\n return len(stream.readlines())","def data_len(self):\n Nrows_data = 0\n with self._compression_safe_file_opener(self.input_fname, \"r\") as f:\n for i, l in enumerate(f):\n if (l[0 : len(self.header_char)] != self.header_char) and (l != \"\\n\"):\n Nrows_data += 1\n return Nrows_data","def count_comments(self):\n return self.run_query(f\"count({self.r}/comment)\")","def retrieve_info():\n try:\n a = line_count()\n b = char_count()\n except:\n print(\"That didn't work, are you sure you defined a valid filename? Try using 'file <your filename>'\")\n return\n print(\"There are {0} lines in your file, for a total of {1} characters\".format(a,b))","def count_lines(file_obj):\n for idx, line in enumerate(file_obj):\n pass\n file_obj.seek(0)\n return idx + 1","def line_length(self, dLine = 0):\n return self.buffer.line_length(self.line + dLine)","def count_LOC(path):\n re_empty = re.compile(r\"[\\s]*(#|\\n|\\\"\\\"\\\")\")\n re_for = re.compile(r\"for.*in\")\n re_lambda = re.compile(r\"lambda\")\n re_if = re.compile(r\"if.*:\")\n re_def = re.compile(r\"def (?P<fname>\\w+)\\(\")\n\n total_LOC, indent_level = 0, 0\n cur_part = None\n parts = defaultdict(int)\n\n with open(path, 'r') as _file:\n for line in filter(lambda l : not re_empty.match(l), _file):\n\n extra = len( re_for.findall(line) ) - 1 + len( re_lambda.findall(line) ) - 1 + len( re_if.findall(line) ) -1\n\n if extra < 0: extra = 0\n\n total_LOC += 1 + extra\n if cur_part:\n parts[cur_part] += 1 + extra\n\n defs = re_def.search(line)\n if defs:\n cur_part = defs.groupdict()['fname']\n indent_level = first_non_whitespace(line)\n\n cur_indent = first_non_whitespace(line)\n if cur_indent < indent_level:\n cur_part = None\n indent_level = cur_indent\n\n return(total_LOC, parts)","def contentcheck_numerical():\n filename = \"Analysis.txt\"\n temp_line = \"\"\n count = 0\n for line in open(filename, 'r'):\n temp_line = temp_line + line\n if \"DATA INFORMATION\" in temp_line:\n count = count + 1\n if \"MEAN, MEDIAN AND MODE:\" in temp_line:\n count = count + 1\n if \"Correlation\" in temp_line:\n count = count + 1\n if \"Normality Tests\" in temp_line:\n count = count + 1\n return count","def count_lines(filename):\n with open(filename, 'rb') as f:\n return sum(1 for line in f)","def len(self, table):\n return self.get_table_nb_lines(table)","def checkEachLineCount(mat):\n n = sum(mat[0])\n \n assert all(sum(line) == n for line in mat[1:]), \"Line count != %d (n value).\" % n\n return n","def number_of_lines(filename=\"\"):\n with open(filename, encoding=\"utf-8\") as file:\n text = file.readlines()\n return len(text)","def checkEachLineCount(mat):\n n = sum(mat[0])\n\n assert all(sum(line) == n for line in mat[1:]), \"Line count != %d (n value).\" % n\n return n","def number_of_lines(filename=\"\"):\n with open(filename, encoding='UTF8') as a_file:\n\n lineNum = 0\n\n for eachLine in a_file:\n lineNum += 1\n return lineNum","def file_len(full_path):\n f = open(full_path)\n nr_of_lines = sum(1 for line in f)\n f.close()\n return nr_of_lines","def number_of_lines(filename=\"\"):\n n = 0\n if filename == \"\":\n return n\n with open(filename, \"r\") as f:\n for line in f:\n n = n + 1\n return n","def N_POINTS(self) -> int:\n try:\n with self.fs.open(\n self.get_url().replace(\".\" + self.erddap.response, \".ncHeader\")\n ) as of:\n ncHeader = of.read().decode(\"utf-8\")\n lines = [line for line in ncHeader.splitlines() if \"row = \" in line][0]\n return int(lines.split(\"=\")[1].split(\";\")[0])\n except Exception:\n pass","def _chunklines(self):\r\n text = self.textwnd.toPlainText()\r\n lines_in_chunk = len(text.split(\"\\n\"))\r\n logger.debug(\"Lines in chunk: {}\".format(lines_in_chunk))\r\n return lines_in_chunk","def numLinesInFile(fname):\n with open(fname, 'rb') as f:\n for i, l in enumerate(f):\n pass\n return i + 1","def count_total_line():\n count = 0\n file_count = 0\n for filename in os.listdir('.'):\n if filename.endswith(\".json\"):\n file_count += 1\n with open(filename, 'r', encoding='utf8') as f:\n for line in f:\n count += 1\n print(\"There are {0} lines in {1} json files\".format(count, file_count))","def count_len(self):\n total = 0\n for filename in self.filenames:\n f = open(os.path.join(self.directory, filename))\n line_count = 0\n for _ in f:\n line_count += 1\n if line_count < self.window_size:\n continue\n else:\n total += line_count - self.window_size + 1\n return total","def number_of_lines(filename=\"\"):\n n_lines = 0\n with open(filename, encoding='utf-8', mode='r') as file:\n for lines in file:\n n_lines += 1\n return n_lines","def number_of_lines(filename=\"\"):\n counter = 0\n with open(filename, \"r\") as my_file:\n for line in my_file:\n counter += 1\n my_file.close()\n return (counter)","def test_makefile_total_lines(cookies, context, black, pipenv, mypy):\n ctx = context(black=black, pipenv=pipenv, mypy=mypy)\n result = cookies.bake(extra_context=ctx)\n\n makefile = result.project.join('Makefile')\n lines = makefile.readlines(cr=False)\n\n expected = 27\n expected -= 2 if black == 'n' else 0\n expected -= 1 if mypy == 'do not use' else 0\n assert len(lines) == expected","def number_of_lines(filename=\"\"):\n\n number_lines = 0\n with open(filename) as file_opened:\n for line in file_opened:\n number_lines += 1\n return number_lines","def paragraph_count(self, doc):\n\n paragraphs = doc.split(\"\\n\\n\")\n # remove the empty string\n return len([paragraph for paragraph in paragraphs if paragraph])","def get_number_of_paragraph(self):\n file_to_read = f'{self.path}/{self.filename}'\n file = open(file_to_read, 'r', encoding='utf-8')\n string_to_match = '<p>'\n count = 0\n for line in file:\n if string_to_match in line:\n count += 1\n sqlite_for_ht.CreateTable.update_table(f_1, self.filename, 'number_of_paragraph', count)\n print(datetime.now(), '-', 'number_of_paragraph for', self.filename, 'calculated =', count)\n return None","def number_of_lines(filename=\"\"):\n with open(filename, encoding='utf-8') as myFile:\n return sum([1 for line in myFile])","def gather_counts(directory):\n counts_un = defaultdict(int)\n counts_bi = defaultdict(int)\n counts_tri = defaultdict(int)\n prev_prev = \"<s>\"\n prev = \"<s>\"\n for filename in os.listdir(f\"./{directory}\"):\n if \".DS_Store\" in filename:\n continue\n with open(f\"./{directory}/{filename}\", \"r\") as f:\n for line in f:\n line = line.strip()\n if len(line) == 0:\n continue\n counts_un[line+\"\\n\"] += 1\n counts_bi[prev+\"\\n\"+line+\"\\n\"] += 1\n counts_tri[prev_prev+\"\\n\"+prev+\"\\n\"+line+\"\\n\"] += 1\n prev_prev = prev\n prev = line\n counts_un[\"</s>\\n\"] += 2\n counts_bi[\"</s>\\n</s>\\n\"] += 1\n counts_bi[prev+\"\\n\"+\"</s>\\n\"] += 1\n counts_tri[prev_prev+\"\\n\"+prev+\"\\n\" + \"</s>\\n\"] += 1\n counts_tri[prev+\"\\n</s>\\n</s>\\n\"] += 1\n return counts_un, counts_bi, counts_tri","def count_lines(inFile, outFile):\n \n bodyLines = []\n # Begin iteratin lines, starting at line 'lineNum'\n for line_ in inFile:\n line_ = line_.rstrip('\\n').strip()\n if (not line_) or (line_[0] == '!'):\n continue\n elif line_.upper() in cases:\n print(\"Error: encountered new case before end of last.\"\n \"\\n Have you forgotten an 'END'?\", file=outFile)\n sys.exit()\n elif line_.upper() == \"END\":\n return bodyLines\n else:\n bodyLines.append(line_)","def total_rows(self):\n self._fetch_if_needed()\n # reduce case, count number of lines\n if self._total_rows is None:\n return self.count()\n return self._total_rows","def num_lines(fname):\n with open(fname) as f:\n for i, l in enumerate(f):\n pass\n return( i + 1 )","def num_items(self):\n num_items = 0\n for line in self.lines.all():\n num_items += line.quantity\n return num_items","def get_line_no(obj):\n try:\n lineno = getsourcelines(obj)[1]\n except:\n # no code found\n lineno = None\n return lineno","def number_of_lines(filename=\"\"):\n line_number = 0\n with open(filename, encoding='UTF8') as f:\n for line in f:\n line_number += 1\n return line_number","def parseCommentsTotalCount(data):\n p = re.compile(r\"\\d+ Reviews\")\n\n for line in data:\n line = line.replace(\",\", \"\")\n match = re.search(p, line)\n if match != None:\n getNmbr = match.group().split(\" \")\n return int(getNmbr[0])\n return -1","def count_locs(file_type, comment_pattern):\n find = \"find . -name '*.{0}' -print0\".format(file_type)\n sed_pattern = \"'/^\\s*{0}/d;/^\\s*$/d'\".format(comment_pattern)\n\n cmd = \"{0} | xargs -0 sed {1} | wc -l\".format(find, sed_pattern)\n\n return check_output(cmd, shell = True).decode('utf-8').replace('\\n', '')","def coverage_stats(self) -> (int, int):\n covered = sum(1 for line in self.source_code if line.coverage > 0)\n lines = sum(1 for line in self.source_code if line.coverage >= 0)\n return (covered, lines)","def count_tests(infile):\n\n ntests = 0\n with open(infile, \"r\") as ff:\n for line in ff:\n if line.strip(): # Jump empty lines\n if summary in line:\n # Count failed tests for each start of file\n ntests += 1\n return ntests","def estimate_lines(self):\r\n logger.debug(\"estimate Lines\")\r\n self.filesize = Path(self.fileName).stat().st_size\r\n text = self.textwnd.toPlainText()\r\n linetext = text.split(\"\\n\")[1] + \"\\\\r\\\\n\"\r\n self.linesize = len(linetext.encode('utf-8'))\r\n self.estimated_lines = self.filesize // self.linesize\r\n logger.debug(\"Estimate Lines: {}\".format(self.estimated_lines))\r\n self.statusBar.showMessage(f\"Estimated lines: {self.estimated_lines}\")","def ignore_newline(self, t):\n self.lineno += t.value.count('\\n')","def bufcount(filename):\n\timport gzip\n\tif filename.split('.')[-1] in ['gz','gzip']: f = gzip.open(filename)\n\telse: f = open(filename)\n\tlines = 0\n\tbuf_size = 1024 * 1024\n\tread_f = f.read # loop optimization\n\t\n\tbuf = read_f(buf_size)\n\twhile buf:\n\t\tlines += buf.count('\\n')\n\t\tbuf = read_f(buf_size)\n\t\tf.close\n\treturn lines","def extract_docstring_linenum(node: ast.Str) -> int:\n doc = node.s\n lineno = node.lineno\n if _string_lineno_is_end:\n # In older CPython versions, the AST only tells us the end line\n # number and we must approximate the start line number.\n # This approximation is correct if the docstring does not contain\n # explicit newlines ('\\n') or joined lines ('\\' at end of line).\n lineno -= doc.count('\\n')\n\n # Leading blank lines are stripped by cleandoc(), so we must\n # return the line number of the first non-blank line.\n for ch in doc:\n if ch == '\\n':\n lineno += 1\n elif not ch.isspace():\n break\n \n return lineno","def get_n_lines(file):\n return sum(1 for _ in open(file))","def line(self) -> int:","def count_lines(filename):\n with open(filename, 'r', encoding='utf-8') as file:\n lines_count = int()\n for line in file:\n lines_count += 1\n info_tuple = (filename, lines_count)\n return info_tuple","def getNumRows(self) -> int:\n ...","def indentsize(line):\r\n expline = string.expandtabs(line)\r\n return len(expline) - len(string.lstrip(expline))","def count_indents(text):\n counts = 0\n for char in text:\n if char.isspace() and char != \"\\t\" and char !=\"\\n\":\n counts += 1\n elif char.isalpha():\n break\n return counts","def totallines(self):\n return self._totallines","def peek_length(self) -> Optional[int]:\n LINE_CUTOFF = 10_000\n count = 0\n with open(self.path, mode='r') as f:\n for _ in f:\n count += 1\n\n return count","def analyzePythonCode(self, sourceFile):\n numLines = 0 # Number of lines of code\n numDocStr = 0 # Number of doc strings in code\n numComments = 0 # Number of comments in the code\n numDefs = 0 # Number of functions\n numClasses = 0 # Number of classes\n f=self.openFile(sourceFile)\n for line in f:\n numLines += 1;\n loc = 0\n while (loc != -1): #count the # of times the '#' characters appears\n loc = line.find(\"#\", loc)\n if (loc != -1):\n loc += 1\n numComments += 1\n loc = 0\n while (loc != -1):\n loc = line.find('\"#', loc) #discount the # of times the '#' char appears as the 1st char in double quotes (skip hex constants)\n if (loc != -1):\n loc += 1\n numComments -= 1\n loc = 0\n while (loc != -1):\n loc = line.find(\"'#\", loc) #discount the # of times the '#' char appears as the 1st char in single quotes (skip hex constants)\n if (loc != -1):\n loc += 1\n numComments -= 1\n loc = 0\n while (loc != -1): #count the # of ''' found\n loc = line.find(\"'''\", loc)\n if (loc != -1):\n loc += 1\n numDocStr += 1\n loc = 0\n while (loc != -1): #count the # of \"\"\" found\n loc = line.find('\"\"\"', loc)\n if (loc != -1):\n loc += 1\n numDocStr += 1\n\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES) != '':\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'def': #count # of defs\n numDefs += 1\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'class': #count # of classes\n numClasses += 1\n \n f.close()\n numDocStr /= 2 #assume that the \"\"\" and ''' chars appear in pairs \n return numLines, numDocStr, numComments, numDefs, numClasses","def num_lineages(self, t):\n return self._ll_tree.get_num_lineages(t)","def calc_lines(self):\n line = []\n for msg in self.message_log:\n msg = msg['msg']\n if '\\n' not in msg:\n line.append(math.ceil((len(msg) + 18) / self.w))\n else:\n msg = msg.split('\\n')\n total = 0\n for i in msg:\n total += math.ceil((len(i) + 18) / self.w)\n line.append(total)\n return line","def find_line_offsets(self):\n # line 0 doesn't exist; line 1 starts at char offset 0.\n self.line_offsets = [None, 0]\n # Find all newlines in `text`, and add an entry to\n # line_offsets for each one.\n pos = self.text.find('\\n')\n while pos != -1:\n self.line_offsets.append(pos+1)\n pos = self.text.find('\\n', pos+1)\n # Add a final entry, marking the end of the string.\n self.line_offsets.append(len(self.text))"],"string":"[\n \"def test_line_count(self):\\n self.assertEqual(analyze_text(self.filename)[0], 11)\",\n \"def test_line_count(self):\\n self.assertEqual(analyze_text(self.filename)[0], 4)\",\n \"def test_line_count(self):\\n self.assertEqual(analyze_text(self.filename)[0], 4)\",\n \"def test_line_count(self):\\n\\t\\tself.assertEqual(analyse_text(self.filename)[0], 4)\",\n \"def get_total_line_counts(self):\\n return get_total_line_counts(self.files.all())\",\n \"def get_linecount(self):\\n self._update_linetab(len(self.input))\\n lcount = len(self.__linepos)\\n return lcount - (self.input.endswith('\\\\n'))\",\n \"def calculate_line_number(text):\\n return len([line for line in text.split(\\\"\\\\n\\\") if line.strip() != \\\"\\\"])\",\n \"def linecount(x):\\n return sum(1 for char in x if char == \\\"\\\\n\\\")\",\n \"def __len__(self):\\n nlines = self.get_endline() - self.get_startline() + 1\\n if nlines < 0:\\n nlines = 0\\n return nlines\",\n \"def _getOldCodeLength(self):\\n nb_lines = 0\\n for line in self.body.splitlines():\\n if not line.startswith(\\\"+\\\"):\\n nb_lines += 1\\n return nb_lines\",\n \"def n_lines(self):\\n try: \\n return self._n_lines\\n except AttributeError:\\n self._n_lines = len(self.lines())\\n return self._n_lines\",\n \"def linecounter(x):\\n return linecount(x) + longlines(x)\",\n \"def _getNewCodeLength(self):\\n nb_lines = 0\\n for line in self.body.splitlines():\\n if not line.startswith(\\\"-\\\"):\\n nb_lines += 1\\n return nb_lines\",\n \"def test_line_counts(self):\\n diff = (\\n b'+ This is some line before the change\\\\n'\\n b'- And another line\\\\n'\\n b'Index: foo\\\\n'\\n b'- One last.\\\\n'\\n b'--- README 123\\\\n'\\n b'+++ README (new)\\\\n'\\n b'@@ -1,1 +1,1 @@\\\\n'\\n b'-blah blah\\\\n'\\n b'-blah\\\\n'\\n b'+blah!\\\\n'\\n b'-blah...\\\\n'\\n b'+blah?\\\\n'\\n b'-blah!\\\\n'\\n b'+blah?!\\\\n')\\n files = DiffParser(diff).parse()\\n\\n self.assertEqual(len(files), 1)\\n self.assertEqual(files[0].insert_count, 3)\\n self.assertEqual(files[0].delete_count, 4)\",\n \"def no_of_lines():\\n number_of_lines = len(open(FILE_NAME).readlines())\\n return number_of_lines\",\n \"def num_lines(self, snapshot: Bug, filepath: str) -> int:\\n return len(self._line_offsets(snapshot, filepath))\",\n \"def _count_comment_rows(vcf_path):\\n vcf_lines_generator = lines_from_vcf(vcf_path)\\n\\n comment_lines_count = 0\\n for line in vcf_lines_generator:\\n if line.startswith('#'):\\n comment_lines_count += 1\\n else:\\n vcf_lines_generator.close() # Don't leave the file handle opened\\n # Don't continue reading the VCF once the comments section ended\\n break\\n\\n return comment_lines_count\",\n \"def sentence_count(self):\\n count = 0\\n for line in self.lines:\\n if '.' in line:\\n count += 1\\n if count == 0:\\n count = 1\\n return count\\n #return line.count('.')\\n #else:\\n #return 1\",\n \"def get_line_count(blob):\\n return len(blob.split('\\\\n'))\",\n \"def analyzeCppCode(self, sourceFile):\\n numLines = 0 # Number of lines of code\\n numComments = 0 # Number of comments in the code\\n\\n f=self.openFile(sourceFile)\\n for line in f:\\n numLines += 1;\\n loc = 0\\n while (loc != -1): #count the # of times the '/*' characters appears\\n loc = line.find(\\\"#\\\", loc)\\n if (loc != -1):\\n loc += 1\\n numComments += 1\\n \\n loc = 0\\n loc = line.find('//', loc) #count the # of times the '//' characters appears\\n if (loc != -1):\\n loc += 1\\n numComments += 1\\n \\n f.close()\\n return numLines, numComments\",\n \"def line_count(fname):\\n return int(call(['wc', '-l', fname]).strip().split()[0])\",\n \"def line_count(file):\\n with open(file, \\\"r\\\") as f:\\n return sum(1 for line in f)\",\n \"def number_of_lines(filename=\\\"\\\"):\\n num_lines = 0\\n with open(filename, encoding=\\\"utf-8\\\") as myFile:\\n return myFile.read().count('\\\\n')\",\n \"def CountLineNumber(filename):\\n\\n fp = open(os.path.abspath(filename), \\\"r\\\");\\n lines = 0\\n for line in fp.readlines():\\n lines = lines + 1\\n fp.close()\\n return lines\",\n \"def lineNumber(self):\\n if self.__lineNumber is None:\\n self.__lineNumber = self.__source.count(\\\"\\\\n\\\", 0, self.__offset) + 1\\n\\n return self.__lineNumber\",\n \"def no_of_lines():\\n return render_template(\\\"no_of_lines.html\\\", no_of_lines=no_of_lines())\",\n \"def count_lines(file_uri):\\n\\n with open(file_uri) as file_obj:\\n for i, line in enumerate(file_obj):\\n pass\\n num_lines = i + 1\\n return num_lines\",\n \"def get_number_lines(running_reward_file, running_loss_file, action_count_file):\\n if Path(running_reward_file).exists():\\n data = np.loadtxt(running_reward_file).reshape(-1,2)\\n return data.shape[0]\\n if Path(running_loss_file).exists():\\n data = np.loadtxt(running_loss_file).reshape(-1,2)\\n return data.shape[0]\\n if Path(action_count_file).exists():\\n data = np.loadtxt(action_count_file).reshape(-1,2)\\n return data.shape[0]\\n raise NameError(\\\"No files to count lines\\\")\",\n \"def countLines(file_name, start, end):\\r\\n\\r\\n with open(file_name, \\\"r\\\") as file:\\r\\n counter_lines = 0\\r\\n\\r\\n for line in islice(file, start, end):\\r\\n counter_lines += 1\\r\\n\\r\\n return counter_lines\",\n \"def len(self):\\n\\t\\t\\n\\t\\treturn len(self.line)\",\n \"def lines_processed(self) -> int:\\n with self.lock:\\n return self._lines_processed\",\n \"def word_count(self):\\n print(self.words())\\n return len(self.words())\\n #count = 0\\n #for lines in self.lines:\\n # line = lines.strip(os.linesep)\\n # wordslst = line.split()\\n # count += len(wordslst)\\n #return count\\n #joined_string = ''.join(self.lines)\\n #for word in joined_string:\\n # if word != ' ' and word != '\\\\n' and word != '\\\\t':\\n # count += 1\\n #print('READ ME ––––––––––', self.lines)\\n #print(joined_string)\\n #print(line)\\n #print(wordslst)\\n #print(count)\",\n \"def fileLineCount(fPath):\\n\\twith open(fPath) as f:\\n\\t\\tfor i, li in enumerate(f):\\n\\t\\t\\tpass\\n\\treturn (i + 1)\",\n \"def _loc(self) -> int:\\n return len(self.lines)\",\n \"def header_len(self):\\n if self.num_lines_header is None:\\n Nheader = 0\\n with self._compression_safe_file_opener(self.input_fname, \\\"r\\\") as f:\\n for i, l in enumerate(f):\\n if (l[0 : len(self.header_char)] == self.header_char) or (\\n l == \\\"\\\\n\\\"\\n ):\\n Nheader += 1\\n else:\\n break\\n\\n return Nheader\\n else:\\n return self.num_lines_header\",\n \"def comments(self):\\n lineno = 0\\n novermin = set()\\n src = self.__source\\n if type(src) == bytes:\\n src = src.decode(errors=\\\"ignore\\\")\\n for line in src.splitlines():\\n lineno += 1\\n line = line.strip()\\n m = RE_COMMENT.match(line)\\n if m is not None:\\n comment = m.group(2).strip()\\n if comment == \\\"novermin\\\" or comment == \\\"novm\\\":\\n # Ignore if it is inside another comment, like: `# test: # novm`\\n if m.start(0) < m.start(1) and m.group(0).strip().startswith(\\\"#\\\"):\\n continue\\n # Associate with next line if the comment is \\\"alone\\\" on a line, i.e. '#' starts the line.\\n novermin.add(lineno + 1 if m.start(1) == 0 else lineno)\\n return novermin\",\n \"def num_bytes_per_line(self):\\n return self._num_bytes_per_line\",\n \"def number_of_lines(filename=\\\"\\\"):\\n count = 0\\n with open(filename) as f:\\n for lines in f:\\n count += 1\\n return (count)\",\n \"def number_of_lines(filename=\\\"\\\"):\\n c = 0\\n with open(filename) as f:\\n for r in f:\\n c += 1\\n return(c)\",\n \"def countlines(fn):\\n with open(fn, 'rb') as f:\\n bufgen = takewhile(\\n lambda x: x, (f.read(1024 * 1024) for _ in repeat(None)))\\n ln = sum(buf.count(b'\\\\n') for buf in bufgen)\\n return ln\",\n \"def get_table_nb_lines(self, table):\\n sql = \\\"SELECT COUNT(*) FROM \\\" + table + \\\";\\\"\\n cur = self._connection.cursor()\\n cur.execute(sql)\\n res = cur.fetchall()\\n cur.close()\\n return res[0][0]\",\n \"def test_counts(self):\\n lines, words, chars = analyze_text(self.filename)\\n self.assertEqual(lines, 4)\\n self.assertEqual(words, 8)\\n self.assertEqual(chars, 36)\",\n \"def count_lines(filename):\\r\\n with open(filename, 'rb') as f:\\r\\n return sum(1 for line in f)\",\n \"def get_file_line_count(a_file):\\r\\n count = -1\\r\\n try:\\r\\n for count, line in enumerate(open(a_file, \\\"rU\\\")):\\r\\n pass\\r\\n except IOError:\\r\\n pass\\r\\n count += 1\\r\\n return count\",\n \"def get_file_line_count(a_file):\\r\\n count = -1\\r\\n try:\\r\\n for count, line in enumerate(open(a_file, \\\"rU\\\")):\\r\\n pass\\r\\n except IOError:\\r\\n pass\\r\\n count += 1\\r\\n return count\",\n \"def num_lines(file_name):\\n with open(file_name) as file:\\n for i, line in enumerate(file):\\n pass\\n return i + 1\",\n \"def count_lines(stream):\\n return len(stream.readlines())\",\n \"def data_len(self):\\n Nrows_data = 0\\n with self._compression_safe_file_opener(self.input_fname, \\\"r\\\") as f:\\n for i, l in enumerate(f):\\n if (l[0 : len(self.header_char)] != self.header_char) and (l != \\\"\\\\n\\\"):\\n Nrows_data += 1\\n return Nrows_data\",\n \"def count_comments(self):\\n return self.run_query(f\\\"count({self.r}/comment)\\\")\",\n \"def retrieve_info():\\n try:\\n a = line_count()\\n b = char_count()\\n except:\\n print(\\\"That didn't work, are you sure you defined a valid filename? Try using 'file <your filename>'\\\")\\n return\\n print(\\\"There are {0} lines in your file, for a total of {1} characters\\\".format(a,b))\",\n \"def count_lines(file_obj):\\n for idx, line in enumerate(file_obj):\\n pass\\n file_obj.seek(0)\\n return idx + 1\",\n \"def line_length(self, dLine = 0):\\n return self.buffer.line_length(self.line + dLine)\",\n \"def count_LOC(path):\\n re_empty = re.compile(r\\\"[\\\\s]*(#|\\\\n|\\\\\\\"\\\\\\\"\\\\\\\")\\\")\\n re_for = re.compile(r\\\"for.*in\\\")\\n re_lambda = re.compile(r\\\"lambda\\\")\\n re_if = re.compile(r\\\"if.*:\\\")\\n re_def = re.compile(r\\\"def (?P<fname>\\\\w+)\\\\(\\\")\\n\\n total_LOC, indent_level = 0, 0\\n cur_part = None\\n parts = defaultdict(int)\\n\\n with open(path, 'r') as _file:\\n for line in filter(lambda l : not re_empty.match(l), _file):\\n\\n extra = len( re_for.findall(line) ) - 1 + len( re_lambda.findall(line) ) - 1 + len( re_if.findall(line) ) -1\\n\\n if extra < 0: extra = 0\\n\\n total_LOC += 1 + extra\\n if cur_part:\\n parts[cur_part] += 1 + extra\\n\\n defs = re_def.search(line)\\n if defs:\\n cur_part = defs.groupdict()['fname']\\n indent_level = first_non_whitespace(line)\\n\\n cur_indent = first_non_whitespace(line)\\n if cur_indent < indent_level:\\n cur_part = None\\n indent_level = cur_indent\\n\\n return(total_LOC, parts)\",\n \"def contentcheck_numerical():\\n filename = \\\"Analysis.txt\\\"\\n temp_line = \\\"\\\"\\n count = 0\\n for line in open(filename, 'r'):\\n temp_line = temp_line + line\\n if \\\"DATA INFORMATION\\\" in temp_line:\\n count = count + 1\\n if \\\"MEAN, MEDIAN AND MODE:\\\" in temp_line:\\n count = count + 1\\n if \\\"Correlation\\\" in temp_line:\\n count = count + 1\\n if \\\"Normality Tests\\\" in temp_line:\\n count = count + 1\\n return count\",\n \"def count_lines(filename):\\n with open(filename, 'rb') as f:\\n return sum(1 for line in f)\",\n \"def len(self, table):\\n return self.get_table_nb_lines(table)\",\n \"def checkEachLineCount(mat):\\n n = sum(mat[0])\\n \\n assert all(sum(line) == n for line in mat[1:]), \\\"Line count != %d (n value).\\\" % n\\n return n\",\n \"def number_of_lines(filename=\\\"\\\"):\\n with open(filename, encoding=\\\"utf-8\\\") as file:\\n text = file.readlines()\\n return len(text)\",\n \"def checkEachLineCount(mat):\\n n = sum(mat[0])\\n\\n assert all(sum(line) == n for line in mat[1:]), \\\"Line count != %d (n value).\\\" % n\\n return n\",\n \"def number_of_lines(filename=\\\"\\\"):\\n with open(filename, encoding='UTF8') as a_file:\\n\\n lineNum = 0\\n\\n for eachLine in a_file:\\n lineNum += 1\\n return lineNum\",\n \"def file_len(full_path):\\n f = open(full_path)\\n nr_of_lines = sum(1 for line in f)\\n f.close()\\n return nr_of_lines\",\n \"def number_of_lines(filename=\\\"\\\"):\\n n = 0\\n if filename == \\\"\\\":\\n return n\\n with open(filename, \\\"r\\\") as f:\\n for line in f:\\n n = n + 1\\n return n\",\n \"def N_POINTS(self) -> int:\\n try:\\n with self.fs.open(\\n self.get_url().replace(\\\".\\\" + self.erddap.response, \\\".ncHeader\\\")\\n ) as of:\\n ncHeader = of.read().decode(\\\"utf-8\\\")\\n lines = [line for line in ncHeader.splitlines() if \\\"row = \\\" in line][0]\\n return int(lines.split(\\\"=\\\")[1].split(\\\";\\\")[0])\\n except Exception:\\n pass\",\n \"def _chunklines(self):\\r\\n text = self.textwnd.toPlainText()\\r\\n lines_in_chunk = len(text.split(\\\"\\\\n\\\"))\\r\\n logger.debug(\\\"Lines in chunk: {}\\\".format(lines_in_chunk))\\r\\n return lines_in_chunk\",\n \"def numLinesInFile(fname):\\n with open(fname, 'rb') as f:\\n for i, l in enumerate(f):\\n pass\\n return i + 1\",\n \"def count_total_line():\\n count = 0\\n file_count = 0\\n for filename in os.listdir('.'):\\n if filename.endswith(\\\".json\\\"):\\n file_count += 1\\n with open(filename, 'r', encoding='utf8') as f:\\n for line in f:\\n count += 1\\n print(\\\"There are {0} lines in {1} json files\\\".format(count, file_count))\",\n \"def count_len(self):\\n total = 0\\n for filename in self.filenames:\\n f = open(os.path.join(self.directory, filename))\\n line_count = 0\\n for _ in f:\\n line_count += 1\\n if line_count < self.window_size:\\n continue\\n else:\\n total += line_count - self.window_size + 1\\n return total\",\n \"def number_of_lines(filename=\\\"\\\"):\\n n_lines = 0\\n with open(filename, encoding='utf-8', mode='r') as file:\\n for lines in file:\\n n_lines += 1\\n return n_lines\",\n \"def number_of_lines(filename=\\\"\\\"):\\n counter = 0\\n with open(filename, \\\"r\\\") as my_file:\\n for line in my_file:\\n counter += 1\\n my_file.close()\\n return (counter)\",\n \"def test_makefile_total_lines(cookies, context, black, pipenv, mypy):\\n ctx = context(black=black, pipenv=pipenv, mypy=mypy)\\n result = cookies.bake(extra_context=ctx)\\n\\n makefile = result.project.join('Makefile')\\n lines = makefile.readlines(cr=False)\\n\\n expected = 27\\n expected -= 2 if black == 'n' else 0\\n expected -= 1 if mypy == 'do not use' else 0\\n assert len(lines) == expected\",\n \"def number_of_lines(filename=\\\"\\\"):\\n\\n number_lines = 0\\n with open(filename) as file_opened:\\n for line in file_opened:\\n number_lines += 1\\n return number_lines\",\n \"def paragraph_count(self, doc):\\n\\n paragraphs = doc.split(\\\"\\\\n\\\\n\\\")\\n # remove the empty string\\n return len([paragraph for paragraph in paragraphs if paragraph])\",\n \"def get_number_of_paragraph(self):\\n file_to_read = f'{self.path}/{self.filename}'\\n file = open(file_to_read, 'r', encoding='utf-8')\\n string_to_match = '<p>'\\n count = 0\\n for line in file:\\n if string_to_match in line:\\n count += 1\\n sqlite_for_ht.CreateTable.update_table(f_1, self.filename, 'number_of_paragraph', count)\\n print(datetime.now(), '-', 'number_of_paragraph for', self.filename, 'calculated =', count)\\n return None\",\n \"def number_of_lines(filename=\\\"\\\"):\\n with open(filename, encoding='utf-8') as myFile:\\n return sum([1 for line in myFile])\",\n \"def gather_counts(directory):\\n counts_un = defaultdict(int)\\n counts_bi = defaultdict(int)\\n counts_tri = defaultdict(int)\\n prev_prev = \\\"<s>\\\"\\n prev = \\\"<s>\\\"\\n for filename in os.listdir(f\\\"./{directory}\\\"):\\n if \\\".DS_Store\\\" in filename:\\n continue\\n with open(f\\\"./{directory}/{filename}\\\", \\\"r\\\") as f:\\n for line in f:\\n line = line.strip()\\n if len(line) == 0:\\n continue\\n counts_un[line+\\\"\\\\n\\\"] += 1\\n counts_bi[prev+\\\"\\\\n\\\"+line+\\\"\\\\n\\\"] += 1\\n counts_tri[prev_prev+\\\"\\\\n\\\"+prev+\\\"\\\\n\\\"+line+\\\"\\\\n\\\"] += 1\\n prev_prev = prev\\n prev = line\\n counts_un[\\\"</s>\\\\n\\\"] += 2\\n counts_bi[\\\"</s>\\\\n</s>\\\\n\\\"] += 1\\n counts_bi[prev+\\\"\\\\n\\\"+\\\"</s>\\\\n\\\"] += 1\\n counts_tri[prev_prev+\\\"\\\\n\\\"+prev+\\\"\\\\n\\\" + \\\"</s>\\\\n\\\"] += 1\\n counts_tri[prev+\\\"\\\\n</s>\\\\n</s>\\\\n\\\"] += 1\\n return counts_un, counts_bi, counts_tri\",\n \"def count_lines(inFile, outFile):\\n \\n bodyLines = []\\n # Begin iteratin lines, starting at line 'lineNum'\\n for line_ in inFile:\\n line_ = line_.rstrip('\\\\n').strip()\\n if (not line_) or (line_[0] == '!'):\\n continue\\n elif line_.upper() in cases:\\n print(\\\"Error: encountered new case before end of last.\\\"\\n \\\"\\\\n Have you forgotten an 'END'?\\\", file=outFile)\\n sys.exit()\\n elif line_.upper() == \\\"END\\\":\\n return bodyLines\\n else:\\n bodyLines.append(line_)\",\n \"def total_rows(self):\\n self._fetch_if_needed()\\n # reduce case, count number of lines\\n if self._total_rows is None:\\n return self.count()\\n return self._total_rows\",\n \"def num_lines(fname):\\n with open(fname) as f:\\n for i, l in enumerate(f):\\n pass\\n return( i + 1 )\",\n \"def num_items(self):\\n num_items = 0\\n for line in self.lines.all():\\n num_items += line.quantity\\n return num_items\",\n \"def get_line_no(obj):\\n try:\\n lineno = getsourcelines(obj)[1]\\n except:\\n # no code found\\n lineno = None\\n return lineno\",\n \"def number_of_lines(filename=\\\"\\\"):\\n line_number = 0\\n with open(filename, encoding='UTF8') as f:\\n for line in f:\\n line_number += 1\\n return line_number\",\n \"def parseCommentsTotalCount(data):\\n p = re.compile(r\\\"\\\\d+ Reviews\\\")\\n\\n for line in data:\\n line = line.replace(\\\",\\\", \\\"\\\")\\n match = re.search(p, line)\\n if match != None:\\n getNmbr = match.group().split(\\\" \\\")\\n return int(getNmbr[0])\\n return -1\",\n \"def count_locs(file_type, comment_pattern):\\n find = \\\"find . -name '*.{0}' -print0\\\".format(file_type)\\n sed_pattern = \\\"'/^\\\\s*{0}/d;/^\\\\s*$/d'\\\".format(comment_pattern)\\n\\n cmd = \\\"{0} | xargs -0 sed {1} | wc -l\\\".format(find, sed_pattern)\\n\\n return check_output(cmd, shell = True).decode('utf-8').replace('\\\\n', '')\",\n \"def coverage_stats(self) -> (int, int):\\n covered = sum(1 for line in self.source_code if line.coverage > 0)\\n lines = sum(1 for line in self.source_code if line.coverage >= 0)\\n return (covered, lines)\",\n \"def count_tests(infile):\\n\\n ntests = 0\\n with open(infile, \\\"r\\\") as ff:\\n for line in ff:\\n if line.strip(): # Jump empty lines\\n if summary in line:\\n # Count failed tests for each start of file\\n ntests += 1\\n return ntests\",\n \"def estimate_lines(self):\\r\\n logger.debug(\\\"estimate Lines\\\")\\r\\n self.filesize = Path(self.fileName).stat().st_size\\r\\n text = self.textwnd.toPlainText()\\r\\n linetext = text.split(\\\"\\\\n\\\")[1] + \\\"\\\\\\\\r\\\\\\\\n\\\"\\r\\n self.linesize = len(linetext.encode('utf-8'))\\r\\n self.estimated_lines = self.filesize // self.linesize\\r\\n logger.debug(\\\"Estimate Lines: {}\\\".format(self.estimated_lines))\\r\\n self.statusBar.showMessage(f\\\"Estimated lines: {self.estimated_lines}\\\")\",\n \"def ignore_newline(self, t):\\n self.lineno += t.value.count('\\\\n')\",\n \"def bufcount(filename):\\n\\timport gzip\\n\\tif filename.split('.')[-1] in ['gz','gzip']: f = gzip.open(filename)\\n\\telse: f = open(filename)\\n\\tlines = 0\\n\\tbuf_size = 1024 * 1024\\n\\tread_f = f.read # loop optimization\\n\\t\\n\\tbuf = read_f(buf_size)\\n\\twhile buf:\\n\\t\\tlines += buf.count('\\\\n')\\n\\t\\tbuf = read_f(buf_size)\\n\\t\\tf.close\\n\\treturn lines\",\n \"def extract_docstring_linenum(node: ast.Str) -> int:\\n doc = node.s\\n lineno = node.lineno\\n if _string_lineno_is_end:\\n # In older CPython versions, the AST only tells us the end line\\n # number and we must approximate the start line number.\\n # This approximation is correct if the docstring does not contain\\n # explicit newlines ('\\\\n') or joined lines ('\\\\' at end of line).\\n lineno -= doc.count('\\\\n')\\n\\n # Leading blank lines are stripped by cleandoc(), so we must\\n # return the line number of the first non-blank line.\\n for ch in doc:\\n if ch == '\\\\n':\\n lineno += 1\\n elif not ch.isspace():\\n break\\n \\n return lineno\",\n \"def get_n_lines(file):\\n return sum(1 for _ in open(file))\",\n \"def line(self) -> int:\",\n \"def count_lines(filename):\\n with open(filename, 'r', encoding='utf-8') as file:\\n lines_count = int()\\n for line in file:\\n lines_count += 1\\n info_tuple = (filename, lines_count)\\n return info_tuple\",\n \"def getNumRows(self) -> int:\\n ...\",\n \"def indentsize(line):\\r\\n expline = string.expandtabs(line)\\r\\n return len(expline) - len(string.lstrip(expline))\",\n \"def count_indents(text):\\n counts = 0\\n for char in text:\\n if char.isspace() and char != \\\"\\\\t\\\" and char !=\\\"\\\\n\\\":\\n counts += 1\\n elif char.isalpha():\\n break\\n return counts\",\n \"def totallines(self):\\n return self._totallines\",\n \"def peek_length(self) -> Optional[int]:\\n LINE_CUTOFF = 10_000\\n count = 0\\n with open(self.path, mode='r') as f:\\n for _ in f:\\n count += 1\\n\\n return count\",\n \"def analyzePythonCode(self, sourceFile):\\n numLines = 0 # Number of lines of code\\n numDocStr = 0 # Number of doc strings in code\\n numComments = 0 # Number of comments in the code\\n numDefs = 0 # Number of functions\\n numClasses = 0 # Number of classes\\n f=self.openFile(sourceFile)\\n for line in f:\\n numLines += 1;\\n loc = 0\\n while (loc != -1): #count the # of times the '#' characters appears\\n loc = line.find(\\\"#\\\", loc)\\n if (loc != -1):\\n loc += 1\\n numComments += 1\\n loc = 0\\n while (loc != -1):\\n loc = line.find('\\\"#', loc) #discount the # of times the '#' char appears as the 1st char in double quotes (skip hex constants)\\n if (loc != -1):\\n loc += 1\\n numComments -= 1\\n loc = 0\\n while (loc != -1):\\n loc = line.find(\\\"'#\\\", loc) #discount the # of times the '#' char appears as the 1st char in single quotes (skip hex constants)\\n if (loc != -1):\\n loc += 1\\n numComments -= 1\\n loc = 0\\n while (loc != -1): #count the # of ''' found\\n loc = line.find(\\\"'''\\\", loc)\\n if (loc != -1):\\n loc += 1\\n numDocStr += 1\\n loc = 0\\n while (loc != -1): #count the # of \\\"\\\"\\\" found\\n loc = line.find('\\\"\\\"\\\"', loc)\\n if (loc != -1):\\n loc += 1\\n numDocStr += 1\\n\\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES) != '':\\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'def': #count # of defs\\n numDefs += 1\\n if line.strip(AutoGrader.Const.PYTHON_WHITE_SPACES).split()[0] == 'class': #count # of classes\\n numClasses += 1\\n \\n f.close()\\n numDocStr /= 2 #assume that the \\\"\\\"\\\" and ''' chars appear in pairs \\n return numLines, numDocStr, numComments, numDefs, numClasses\",\n \"def num_lineages(self, t):\\n return self._ll_tree.get_num_lineages(t)\",\n \"def calc_lines(self):\\n line = []\\n for msg in self.message_log:\\n msg = msg['msg']\\n if '\\\\n' not in msg:\\n line.append(math.ceil((len(msg) + 18) / self.w))\\n else:\\n msg = msg.split('\\\\n')\\n total = 0\\n for i in msg:\\n total += math.ceil((len(i) + 18) / self.w)\\n line.append(total)\\n return line\",\n \"def find_line_offsets(self):\\n # line 0 doesn't exist; line 1 starts at char offset 0.\\n self.line_offsets = [None, 0]\\n # Find all newlines in `text`, and add an entry to\\n # line_offsets for each one.\\n pos = self.text.find('\\\\n')\\n while pos != -1:\\n self.line_offsets.append(pos+1)\\n pos = self.text.find('\\\\n', pos+1)\\n # Add a final entry, marking the end of the string.\\n self.line_offsets.append(len(self.text))\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7124473","0.7070284","0.7070284","0.70378745","0.68012744","0.6775583","0.6723244","0.66507286","0.6617019","0.6589754","0.6558442","0.64918953","0.6448747","0.6290716","0.6276412","0.62674546","0.62459767","0.6210425","0.61959755","0.61630034","0.607485","0.60718256","0.60165143","0.60162073","0.60037184","0.59883296","0.5987761","0.59413785","0.5936182","0.59178585","0.5916363","0.5916251","0.59111917","0.58982295","0.5852242","0.5851282","0.58498377","0.5844391","0.5810414","0.58063877","0.57984734","0.57945955","0.5792947","0.5784022","0.5784022","0.5773813","0.5773533","0.5770539","0.5755285","0.57249373","0.5718683","0.57129776","0.5712446","0.57076025","0.570337","0.5699872","0.569652","0.569636","0.5692555","0.56902367","0.568061","0.56565064","0.5653833","0.5632383","0.56285274","0.5625233","0.5623037","0.56146735","0.56099117","0.5609803","0.5602524","0.55954427","0.5585437","0.5577345","0.5570784","0.55703294","0.55693257","0.556186","0.55543566","0.55497676","0.5544582","0.5542266","0.5537529","0.55228424","0.5513554","0.55054975","0.5502461","0.5500896","0.5490819","0.54755926","0.54749256","0.54647994","0.54591167","0.54552305","0.5451477","0.54513496","0.5449478","0.5444156","0.54259574","0.54147977","0.54108155"],"string":"[\n \"0.7124473\",\n \"0.7070284\",\n \"0.7070284\",\n \"0.70378745\",\n \"0.68012744\",\n \"0.6775583\",\n \"0.6723244\",\n \"0.66507286\",\n \"0.6617019\",\n \"0.6589754\",\n \"0.6558442\",\n \"0.64918953\",\n \"0.6448747\",\n \"0.6290716\",\n \"0.6276412\",\n \"0.62674546\",\n \"0.62459767\",\n \"0.6210425\",\n \"0.61959755\",\n \"0.61630034\",\n \"0.607485\",\n \"0.60718256\",\n \"0.60165143\",\n \"0.60162073\",\n \"0.60037184\",\n \"0.59883296\",\n \"0.5987761\",\n \"0.59413785\",\n \"0.5936182\",\n \"0.59178585\",\n \"0.5916363\",\n \"0.5916251\",\n \"0.59111917\",\n \"0.58982295\",\n \"0.5852242\",\n \"0.5851282\",\n \"0.58498377\",\n \"0.5844391\",\n \"0.5810414\",\n \"0.58063877\",\n \"0.57984734\",\n \"0.57945955\",\n \"0.5792947\",\n \"0.5784022\",\n \"0.5784022\",\n \"0.5773813\",\n \"0.5773533\",\n \"0.5770539\",\n \"0.5755285\",\n \"0.57249373\",\n \"0.5718683\",\n \"0.57129776\",\n \"0.5712446\",\n \"0.57076025\",\n \"0.570337\",\n \"0.5699872\",\n \"0.569652\",\n \"0.569636\",\n \"0.5692555\",\n \"0.56902367\",\n \"0.568061\",\n \"0.56565064\",\n \"0.5653833\",\n \"0.5632383\",\n \"0.56285274\",\n \"0.5625233\",\n \"0.5623037\",\n \"0.56146735\",\n \"0.56099117\",\n \"0.5609803\",\n \"0.5602524\",\n \"0.55954427\",\n \"0.5585437\",\n \"0.5577345\",\n \"0.5570784\",\n \"0.55703294\",\n \"0.55693257\",\n \"0.556186\",\n \"0.55543566\",\n \"0.55497676\",\n \"0.5544582\",\n \"0.5542266\",\n \"0.5537529\",\n \"0.55228424\",\n \"0.5513554\",\n \"0.55054975\",\n \"0.5502461\",\n \"0.5500896\",\n \"0.5490819\",\n \"0.54755926\",\n \"0.54749256\",\n \"0.54647994\",\n \"0.54591167\",\n \"0.54552305\",\n \"0.5451477\",\n \"0.54513496\",\n \"0.5449478\",\n \"0.5444156\",\n \"0.54259574\",\n \"0.54147977\",\n \"0.54108155\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4781,"cells":{"query":{"kind":"string","value":"Returns the total, nonblank and net loc for all the python files in a directory"},"document":{"kind":"string","value":"def get_folder_total(path):\n files = os.listdir(path)\n pythonfiles = ['%s/%s' % (path, filename) for filename in files if filename[-3:] == '.py']\n total = { 'net': 0, 'total': 0, 'nonblank': 0, 'num_inputs':0 }\n for filename in pythonfiles:\n with open(filename, 'r') as thisfile:\n blob = thisfile.read()\n # print filename\n thisloc = loc(blob)\n for k, v in thisloc.items():\n total[k] += v\n return total"},"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 loc():\n file_types = (\n ['Python', 'py', '#']\n )\n\n click.echo('Lines of code\\n-------------')\n\n click.echo(\"{0}: {1}\".format(file_types[0], count_locs(file_types[1],\n file_types[2])))\n\n return None","def analyze_files(self):\n for file in os.listdir(self.directory):\n if file[-3:] == (\".py\"):\n fopen = open(os.path.join(self.directory, file), \"r\")\n try:\n if not (py_file := fopen):\n raise FileNotFoundError\n\n with py_file: # close file after opening\n class_count: int = 0\n fun_count: int = 0\n l_count: int = 0\n ch_count: int = 0\n for line in py_file: # calculate values for the file\n if line.strip().startswith(\"class \"):\n class_count = class_count+1\n elif line.strip().startswith(\"def \"):\n fun_count = fun_count+1\n\n l_count = l_count+1\n ch_count = ch_count+len(line)\n\n self.files_summary[str(os.path.join(self.directory, file))] = {\"class\": class_count, \"function\": fun_count, \"line\": l_count,\n \"char\": ch_count}\n except FileNotFoundError:\n print(f\"File {py_file} is not found or can not be opened\")\n fopen.close()","def checkSum():\n val = 0\n for ext in EXTENSION_GLOBS:\n for f in glob.glob (ext):\n stats = os.stat(f)\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\n return val","def fileCounter(directory):","def getFileLoc(self):\n\t\trval = []\n\t\tlocalVolTbl = self.file_loc['localVolTbl']\n\t\tnetVolTbl = self.file_loc['netVolTbl']\n\t\t\n\t\tif localVolTbl != None:\n\t\t\trval.extend((FILE_LOC[0],\n\t\t\t\tFILE_LOC[1] + self.file_loc['basePathname'] + \\\n\t\t\t\t\"\\\\\" + self.file_loc['remainPathname']))\n\t\n\t\t\tfor ii in range(len(VOL_TYPE)):\n\t\t\t\tif (self.header['file_attributes'] & (2 ** (ii + 1))) > 0:\n\t\t\t\t\trval.append(VOL_TYPE[ii])\n\t\t\t\t\n\t\t\trval.extend((FILE_LOC[2] + localVolTbl['volume_label'],\n\t\t\t\tFILE_LOC[3] + str(localVolTbl['vol_serial_num'])))\t\t\n\t\n\t\tif netVolTbl != None:\n\t\t\trval.append(FILE_LOC[4] + netVolTbl['net_sharename'] + \\\n\t\t\t\t\"\\\\\" + self.file_loc['remainPathname'])\n\t\treturn rval","def check_dir(self):\n if not Path(self.src_dir).exists():\n print('No such directory found:', self.src_dir)\n return\n\n nc_all = self.src_dir + \"/*.nc*\"\n if len(glob.glob(nc_all)) == 0:\n print('No NetCDF files found in:', self.src_dir)\n return\n\n return nc_all","def analyze_files(self):\n num_file = 0\n results = dict()\n try:\n list_files = os.listdir(self.directory)\n except FileNotFoundError:\n raise FileNotFoundError(\"Can't find any file\")\n else:\n for file in list_files: #looping the files in the directly\n num_file += 1\n if file.endswith(\".py\"): # Looking for files that end with .py\n try:\n fp = open(os.path.join(self.directory, file), \"r\")\n except FileNotFoundError:\n raise FileNotFoundError(f\"Can't open file no {num_file}\")\n else:\n with fp:\n c_total = 0 #Total length of Characters for the entire file\n filename = file # Storing the file name\n t_line = 0 # Getting the total number of line\n t_def = 0 #Getting the total number of functions\n t_class = 0 #Getting the total number of classes\n \n for line in fp:\n t_line += 1 # Counting each line\n t_char = len(line) #Length of characters for each line\n n_line = line.strip() # gets rid of white spaces and new lines\n c_total += t_char # adding each total char in line to the pervious total char in line\n if n_line.startswith(\"def \"): \n t_def += 1 \n elif n_line.startswith(\"class \"):\n t_class += 1\n results[filename] = {'class': t_class, 'function': t_def, 'line': t_line, 'char': c_total }\n return results","def test_case_6():\n print(\"*********Test_case_6***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir', 't1.c')\n result = find_files('.c', path)\n print(result)","def test_case_5():\n print(\"*********Test_case_5***********\")\n result = find_files('.c', \"\")\n print(result)","def execute(root_dir):\n \n \n #Getting all the file recursively that py files\n lenght=[]\n libraries=[]\n nesting_factors=[]\n param_count=[]\n total_var=[]\n duplicate_for_the_repo=[]\n average_nesting_factor=0\n average_param=0\n code_duplication=0\n avg_var=0\n \n k=root_dir.rsplit('-')\n n=k[0]\n m=k[-1]\n \n urls=[ repo for repo in repo_list if n and m in repo ]\n if urls:\n url=urls[0]\n else:\n url=root_dir\n\n for filename in glob.iglob(root_dir + '/**/*.py', recursive=True):\n #filename=filename.replace(\" \", \"\\\\ \")\n filename=str_to_raw(filename)\n try: \n count=pygount.source_analysis(filename, 'pygount') # counting the line of codes for the py files\n l=count.code\n lenght.append(l)\n library =imported_module(filename)\n for lib in library:\n libraries.append(lib)\n deg_list=nesting_factor(for_loop_position(filename)) \n for deg in deg_list:\n nesting_factors.append(deg)\n\n\n\n for param in parameter_count(filename):\n param_count.append(param)\n for var in variable_count(filename):\n total_var.append(var)\n duplicate_for_the_repo.append(duplicated_line(filename))\n except Exception as e:\n print(\"type error: \" + str(e))\n print(filename)\n \n \n if len(nesting_factors) !=0: \n average_nesting_factor= np.mean(nesting_factors)\n if param_count: \n average_param= np.mean(param_count) \n libraries=unique(libraries)\n repo_count=sum(lenght)\n if total_var:\n avg_var=np.mean(total_var)\n if repo_count and duplicate_for_the_repo:\n code_duplication=(sum(duplicate_for_the_repo)/repo_count)*100\n \n return {'repository_url': url, \n 'number of lines': repo_count, \n 'libraries': libraries,\n 'nesting factor': average_nesting_factor,\n 'code duplication': code_duplication,\n 'average parameters':average_param,\n 'average variables':avg_var}","def _get_run_info(self, path, creation_date):\n total = 0\n try:\n for entry in os.scandir(path):\n # Only evaluates size of files and not folders inside raw/proc\n if entry.is_file():\n # if it's a file, use stat() function\n total += entry.stat().st_size\n\n except NotADirectoryError:\n # if `path` isn't a directory, get the file size then\n total = os.path.getsize(path)\n except PermissionError:\n # if for whatever reason we can't open the folder, return 0\n return 0\n\n if os.path.isdir(path):\n validator = RunValidator(path)\n elif path.endswith(\".h5\"):\n validator = FileValidator(H5File(path).files[0])\n else:\n return 0\n\n try:\n validator.run_checks()\n except Exception:\n pass\n return total, str(ValidationError(validator.problems))","def test_case_3():\n print(\"*********Test_case_3***********\")\n result = find_files('.c', None)\n print(result)","def count_LOC(path):\n re_empty = re.compile(r\"[\\s]*(#|\\n|\\\"\\\"\\\")\")\n re_for = re.compile(r\"for.*in\")\n re_lambda = re.compile(r\"lambda\")\n re_if = re.compile(r\"if.*:\")\n re_def = re.compile(r\"def (?P<fname>\\w+)\\(\")\n\n total_LOC, indent_level = 0, 0\n cur_part = None\n parts = defaultdict(int)\n\n with open(path, 'r') as _file:\n for line in filter(lambda l : not re_empty.match(l), _file):\n\n extra = len( re_for.findall(line) ) - 1 + len( re_lambda.findall(line) ) - 1 + len( re_if.findall(line) ) -1\n\n if extra < 0: extra = 0\n\n total_LOC += 1 + extra\n if cur_part:\n parts[cur_part] += 1 + extra\n\n defs = re_def.search(line)\n if defs:\n cur_part = defs.groupdict()['fname']\n indent_level = first_non_whitespace(line)\n\n cur_indent = first_non_whitespace(line)\n if cur_indent < indent_level:\n cur_part = None\n indent_level = cur_indent\n\n return(total_LOC, parts)","def getBaseSrcFile(self) -> List[int]:\n ...","def checkSumHelper(arg, dirname, fnames):\n val = 0\n files = [name for name in fnames if os.path.splitext(name)[1] in EXTENSIONS]\n for file in files:\n absFile = os.path.join(dirname,file)\n try:\n stats = os.stat(absFile)\n except OSError,e:\n # This is to skip over temporary files or files\n # nosy doesn't have permission to access\n # print \"Nosy: skipping file %s with error %s\"%(absFile,e)\n continue\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\n arg.append(val)\n return","def test_case_1():\n print(\"*********Test_case_1***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir')\n result = find_files('.c', path)\n for file in result:\n print(file)","def test_case_4():\n print(\"*********Test_case_4***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir')\n result = find_files('', path)\n for file in result:\n print(file)","def print_local_output_files_stats():\n print \"\\n\\nFILES CREATED:\"\n for filename in os.listdir('../output'):\n filesize = os.path.getsize('../output/' + filename)\n print str(filesize) + \"\\t\" + filename\n print \"\\n\"","def get_amount_of_data(directory: str):\n size = sum([os.path.getsize(os.path.join(directory, item)) for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\n print(size)\n return size","def readfiles(self, dirname , search , notsearch = 'rgvar' , notdir = 'xyvwa'):\n print('We are in the following directory: %s looking for files that contain %s and not %s' %(dirname, search , notsearch))\n dirlist = os.listdir(dirname)\n for filep in dirlist:\n filep = os.path.join(dirname,filep) \n if os.path.islink(filep):\n pass\n elif os.path.isdir(filep):\n m = re.search(notdir , filep)\n if m is None:\n self.readfiles(filep , search, notsearch = notsearch, notdir = notdir )\n elif os.path.isfile(filep) and '.dat' in filep: \n nm = re.search(notsearch, filep)\n m = re.search(search , filep)\n #print m , nm\n if m is not None and nm is None:\n self.plotfiles.append(filep)\n else:\n pass","def my_root_listdir(root_dir):\n root_listdir = [\n images_dir\n for images_dir in os.listdir(root_dir)\n if not any(\n characters in images_dir for characters in [\".\", \"test\", \"train\", \"valid\"]\n )\n ]\n summ = 0\n for images_dir in root_listdir:\n summ += len(os.listdir(root_dir + \"/\" + images_dir)) / 2 - 2\n print(\"Sum of images in directories: \", int(summ))\n return root_listdir","def retrive_scanning_scheme(self, Nest_data_directory, file_keyword = 'PMT_0Zmax'):\r\n fileNameList = []\r\n# ImgSequenceNum = 0\r\n for file in os.listdir(Nest_data_directory):\r\n if file_keyword in file:\r\n fileNameList.append(file)\r\n \r\n RoundNumberList = []\r\n CoordinatesList = []\r\n for eachfilename in fileNameList:\r\n # Get how many rounds are there\r\n try:\r\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Grid')])\r\n except:\r\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Coord')])\r\n \r\n RoundNumberList = list(dict.fromkeys(RoundNumberList)) # Remove Duplicates\r\n \r\n CoordinatesList.append(eachfilename[eachfilename.index('Coord'):eachfilename.index('_PMT')])\r\n CoordinatesList = list(dict.fromkeys(CoordinatesList))\r\n \r\n# print(RoundNumberList, CoordinatesList, fileNameList)\r\n return RoundNumberList, CoordinatesList, fileNameList","def add_loc(self):\n self.loc = 0\n for t in self.thys:\n with open(t, 'r') as f:\n for l in f:\n if l.strip():\n self.loc += 1","def process_files(file_location, day):\n # construct file path\n file_dir = PREFIX+file_location\n file_pattern = file_dir+'lz_'+day+'*_raw.root'\n # print(file_pattern)\n file_list = glob.glob(file_pattern)\n print(\"There are %s MC files in the requested directory (%s).\" %(len(file_list), file_dir))\n file_names = []\n for f in file_list:\n file_name_only = f.split('/')\n file_names.append(file_name_only[-1])\n return file_names","def scan(self,project_dir):\n ftypes = [\".csv\", \".data\", \".xlsx\"]\n print(\"Scanning directory : \",project_dir)\n print(\"Searching for : \",ftypes)\n self.localfiles = {}\n for dirpath, dirnames, filenames in os.walk(project_dir, topdown=True):\n for filename in filenames:\n for ftype in ftypes:\n if ftype in filename:\n self.localfiles[filename] = {\n \"filename\": filename,\n \"filesize\": getsize(os.path.join(dirpath, filename)),\n \"abspath\": os.path.join(dirpath, filename),\n \"dirpath\": dirpath,\n \n }\n print(\"Found These: \",[file_name for file_name in self.localfiles.keys()])","def getFilePaths():\n \n image_dir = r'/hpc/wfok007/mpi_heart/Training Set'\n mask_paths = []\n image_paths = []\n for root, dirs, files in os.walk(image_dir, topdown=False):\n for name in files:\n if name == 'laendo.nrrd':\n mask_paths.append(os.path.join(root, name))\n elif name == 'lgemri.nrrd':\n image_paths.append(os.path.join(root, name))\n else:\n print ('%s is unknown' %name)\n return mask_paths, image_paths","def total_files(self):\n command = \"SELECT searched FROM options;\"\n return self.c.execute(command)","def get_checkpoint():\n\timport numpy as np\n\n\tcheckpoint = []\n\tfor directory in directories:\n\t\ttry: # try to find folder\n\t\t\tos.chdir('./'+directory)\n\t\texcept:\n\t\t\tcontinue\n\t\tcontents = os.listdir('./')\n\t\tif contents == []: # if folder is empty\n\t\t\tprint(\"No data for\", directory)\n\t\t\tos.chdir('..')\n\t\t\tcontinue\n\t\tcounter = []\n\t\tfor entry in contents:\n\t\t\tentry = entry.split('.')\n\t\t\tnum = entry[0][2:]\n\t\t\ttry: # excludes files that aren't of type x-y.jpg\n\t\t\t\tnum = int(num)\n\t\t\t\tcounter.append(num)\n\t\t\texcept:\n\t\t\t\tcontinue\n\t\tcheckpoint.append(max(counter))\n\t\tos.chdir('..')\n\tcheckpoint = np.mean(checkpoint)\n\treturn checkpoint","def target_totalfiles(self):\n return self._cfg.get('totalfiles', None)","def test_case_2():\n print(\"*********Test_case_2***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir')\n result = find_files(None, path)\n print(result)","def scanFiles(directory, includes = [\"*\"], excludes = []):\n\treturn scanAll(directory, includes, excludes)[1]","def fs_files_total(self):\n return self._fs_files_total","def test_search_file(self):\n base_dir = join(get_current_path(), 'samples', 'base_dir1')\n output_dir = join(get_current_path(), 'samples', 'base_dir1', 'result')\n files = search_files(base_dir, output_dir)\n self.assertTrue(self.verify_sub_folders(list(files.keys())))\n\n # sub folders under Concord is not counted, only files\n self.assertEqual(len(files['Concord']), 5)\n self.assertEqual(len(files['ListCo Equity']), 1)\n self.assertEqual(len(files['CLO Equity']), 2)\n self.assertEqual(files['ListCo Equity'][0], join(base_dir, 'ListCo Equity', 'Positions1219.xlsx'))","def get_all_metrics(dir):\r\n file_lst = os.listdir(dir)\r\n file_lst = list(filter(lambda x: re.findall(r'\\.csv$',x), file_lst))\r\n return file_lst","def gather_counts(directory):\n counts_un = defaultdict(int)\n counts_bi = defaultdict(int)\n counts_tri = defaultdict(int)\n prev_prev = \"<s>\"\n prev = \"<s>\"\n for filename in os.listdir(f\"./{directory}\"):\n if \".DS_Store\" in filename:\n continue\n with open(f\"./{directory}/{filename}\", \"r\") as f:\n for line in f:\n line = line.strip()\n if len(line) == 0:\n continue\n counts_un[line+\"\\n\"] += 1\n counts_bi[prev+\"\\n\"+line+\"\\n\"] += 1\n counts_tri[prev_prev+\"\\n\"+prev+\"\\n\"+line+\"\\n\"] += 1\n prev_prev = prev\n prev = line\n counts_un[\"</s>\\n\"] += 2\n counts_bi[\"</s>\\n</s>\\n\"] += 1\n counts_bi[prev+\"\\n\"+\"</s>\\n\"] += 1\n counts_tri[prev_prev+\"\\n\"+prev+\"\\n\" + \"</s>\\n\"] += 1\n counts_tri[prev+\"\\n</s>\\n</s>\\n\"] += 1\n return counts_un, counts_bi, counts_tri","def current_missing(**kwargs) -> int:\n data_path = os.environ.get(BBG_ROOT, '').replace('\\\\', '/')\n if not data_path: return 0\n return len(files.all_files(f'{data_path}/Logs/{missing_info(**kwargs)}'))","def getNtot(self,dir):\n return int(readfile(dir + '/struct_enum.out')[-1].split()[0])","def test_known_file_locations(dataset: linux.LinuxSourcesDataset):\n assert (dataset.src_tree_root / \"kernel\" / \"kexec.c\").is_file()\n assert (dataset.src_tree_root / \"kernel\" / \"smpboot.h\").is_file()","def usagestats_parse(dirpath):\r\n # Create database\r\n # TODO: change to an easier format, probably json.\r\n db, cursor = create_table()\r\n\r\n # Some vars for logging\r\n processed = 0\r\n err = 0\r\n\r\n # Iterate through the /usagestats/ directory and fetch all files\r\n for root, dirnames, filenames in os.walk(dirpath, topdown=True, onerror=None, followlinks=False):\r\n if 'daily' in root or 'weekly' in root or 'monthly' in root or 'yearly' in root:\r\n # Retrieve the folder name to save what the frequency of the usagestats were:\r\n frequency = root.split('/')[-1]\r\n for filename in filenames:\r\n # Check if filename is only numbers (which is an epoch time representation)\r\n if filename.isnumeric():\r\n try:\r\n tree = ET.parse(os.path.join(root, filename))\r\n except ET.ParseError:\r\n parse_file_with_protobuf(os.path.join(root, filename), db)\r\n continue\r\n\r\n # We have sucessfully parsed the usagestats xml.\r\n # So continue processing\r\n tree_root = tree.getroot()\r\n\r\n for elem in tree_root:\r\n parse_sub_elements(frequency, elem, filename, db)\r\n\r\n # query for reporting\r\n cursor.execute('''\r\n select \r\n usage_type,\r\n datetime(lastime/1000, 'UNIXEPOCH', 'localtime') as lasttimeactive,\r\n timeactive as time_Active_in_msecs,\r\n timeactive/1000 as timeactive_in_secs,\r\n case last_time_service_used WHEN '' THEN ''\r\n ELSE datetime(last_time_service_used/1000, 'UNIXEPOCH', 'localtime')\r\n end last_time_service_used,\r\n case last_time_visible WHEN '' THEN ''\r\n ELSE datetime(last_time_visible/1000, 'UNIXEPOCH', 'localtime') \r\n end last_time_visible,\r\n total_time_visible,\r\n app_launch_count,\r\n package,\r\n CASE types\r\n WHEN '1' THEN 'MOVE_TO_FOREGROUND'\r\n WHEN '2' THEN 'MOVE_TO_BACKGROUND'\r\n WHEN '5' THEN 'CONFIGURATION_CHANGE'\r\n WHEN '7' THEN 'USER_INTERACTION'\r\n WHEN '8' THEN 'SHORTCUT_INVOCATION'\r\n ELSE types\r\n END types,\r\n classs,\r\n source,\r\n fullatt\r\n from data\r\n order by lasttimeactive DESC\r\n ''')\r\n all_rows = cursor.fetchall()\r\n\r\n # HTML report section\r\n h = open('./Report.html', 'w')\r\n h.write('<html><body>')\r\n h.write('<h2>Android Usagestats report (Dates are localtime!)</h2>')\r\n h.write('<style> table, th, td {border: 1px solid black; border-collapse: collapse;}</style>')\r\n h.write('<br />')\r\n\r\n # HTML headers\r\n h.write('<table>')\r\n h.write('<tr>')\r\n h.write('<th>Usage Type</th>')\r\n h.write('<th>Last Time Active</th>')\r\n h.write('<th>Time Active in Msecs</th>')\r\n h.write('<th>Time Active in Secs</th>')\r\n h.write('<th>Last Time Service Used</th>')\r\n h.write('<th>Last Time Visible</th>')\r\n h.write('<th>Total Time Visible</th>')\r\n h.write('<th>App Launch Count</th>')\r\n h.write('<th>Package</th>')\r\n h.write('<th>Types</th>')\r\n h.write('<th>Class</th>')\r\n h.write('<th>Source</th>')\r\n h.write('</tr>')\r\n\r\n for row in all_rows:\r\n usage_type = row[0]\r\n lasttimeactive = row[1]\r\n time_Active_in_msecs = row[2]\r\n timeactive_in_secs = row[3]\r\n last_time_service_used = row[4]\r\n last_time_visible = row[5]\r\n total_time_visible = row[6]\r\n app_launch_count = row[7]\r\n package = row[8]\r\n types = row[9]\r\n classs = row[10]\r\n source = row[11]\r\n\r\n processed = processed + 1\r\n # report data\r\n h.write('<tr>')\r\n h.write('<td>' + str(usage_type) + '</td>')\r\n h.write('<td>' + str(lasttimeactive) + '</td>')\r\n h.write('<td>' + str(time_Active_in_msecs) + '</td>')\r\n h.write('<td>' + str(timeactive_in_secs) + '</td>')\r\n h.write('<td>' + str(last_time_service_used) + '</td>')\r\n h.write('<td>' + str(last_time_visible) + '</td>')\r\n h.write('<td>' + str(total_time_visible) + '</td>')\r\n h.write('<td>' + str(app_launch_count) + '</td>')\r\n h.write('<td>' + str(package) + '</td>')\r\n h.write('<td>' + str(types) + '</td>')\r\n h.write('<td>' + str(classs) + '</td>')\r\n h.write('<td>' + str(source) + '</td>')\r\n h.write('</tr>')\r\n\r\n # HTML footer\r\n h.write('<table>')\r\n h.write('<br />')\r\n\r\n print('')\r\n print('Records processed: ' + str(processed))\r\n print('Triage report completed. See Reports.html.')","def avail(self):\n\n return os.listdir(self.datadir)","def checkSumWalk(top=\".\", func=checkSumHelper):\n values = []\n os.path.walk( top, checkSumHelper, values )\n return sum(values)","def MainStats(path, filetype, NrExp, col, start, stop):\n# path= path.split('/') # here is better to google and see what is going on. Or experiment alone\n# path= \"/\".join(path[:-1]) \n dato=ExtractData_raw_files(path, filetype)\n dBase=dato.createDictBase()\n stats = Stats(dBase, NrExp, col, start, stop)\n means, stds=stats.Means_Stds()\n times = stats.time_return()\n return means , stds, times","def _get_filepaths(self):\n self._printer(str(self.__len__()) + \" file paths have been parsed in \" + str(self.timer.end))\n if self._hash_files:\n return pool_hash(self.filepaths)\n else:\n return self.filepaths","def totalFiles(pathCopyData, pathNetCDF, dateInit, dateFinal):\n dateInit = datetime.strptime(dateInit, '%Y-%m-%d')\n dateFinal = datetime.strptime(dateFinal, '%Y-%m-%d')\n dirr = pathCopyData\n dirr2 = pathNetCDF\n #name = 'wrfout_c1h_d01_\\d\\d\\d\\d-\\d\\d-\\d\\d_00:00:00.\\d\\d\\d\\d.nc'\n name = 'wrfout_c1h_d01_\\d\\d\\d\\d-\\d\\d-\\d\\d_00:00:00.a\\d\\d\\d\\d'\n date = '\\d\\d\\d\\d-\\d\\d-\\d\\d'\n fil = []\n ba = []\n patron2 = re.compile(date)\n patron = re.compile(name + '.*')\n for base, dirs, files in os.walk(dirr2, topdown=True):\n for value in files:\n if patron.match(value) != None:\n f = patron2.findall(value)\n dateNetCDF = datetime.strptime(f[0], '%Y-%m-%d')\n if (dateNetCDF < dateFinal) & (dateNetCDF > dateInit):\n fil.append(value)\n ba.append(base)\n fdata = df.DataFrame(fil, columns=['nameFile'])\n fbase = df.DataFrame(ba, columns=['nameBase'])\n fdata.to_csv(dirr + 'tfile.txt', encoding='utf-8', index=False)\n fbase.to_csv(dirr + 'tbase.txt', encoding='utf-8', index=False)","def totalfiles(self):\n return len([sz for sz in self.iterate()])","def lsinfo(path):","def enumerate():\n names = [f for f in os.listdir(_INPUT_ROOT) if not\n os.path.isdir(os.path.join(_INPUT_ROOT, f))]\n return sorted(names)","def test_scan_dir_files(self):\n self.run_scan(self.subdir, self.nest_fcount + 1)","def _find_files(directory, dirs_to_look_in, files_to_search_for, \n current_dir, see_files):\n full_name = True\n if see_files:\n full_name = False\n files_to_load = search_directory(directory, \n look_in=dirs_to_look_in,\n search_for=files_to_search_for,\n file_type='files',\n current_dir=current_dir,\n full_name=full_name)\n if not files_to_load:\n raise UserWarning('No files were found matching the search for %s'\\\n ' in the directory(s) %s%s' \\\n % (files_to_search_for, directory, \n dirs_to_look_in))\n return files_to_load","def findFiles(self):\n\n with open('analysis_result/firmwalkerOutput.txt', 'r') as firmwalker:\n for line in firmwalker:\n if line.startswith('##################################### ssh'):\n self.ssh = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### dropbear'):\n self.dropbear = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### busybox'):\n self.busyBox = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### telnet'):\n self.telnet = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### openssl'):\n self.openssl = next(firmwalker).strip('d/').strip('\\n')","def missing_in_gn_by_file(self):\n return self._missing_gn_files","def find_all_infilepaths(in_dir):\n workdir = os.getcwd()\n os.chdir(in_dir)\n\n infiles_paths = dict()\n for infilename in glob.glob(\"[0-9]*_[0-9]*_[0-9]*.hdf5\"):\n pos = infilename.split('_')\n pos[-1] = pos[-1].split('.')[0]\n pos = tuple(list(map(lambda s: int(s), pos)))\n num_pos = _3d_to_numeric\n infiles_paths[num_pos] = os.path.join(in_dir, infilename)\n\n os.chdir(workdir)\n return infiles_paths","def dataStats(reportsDir = \"./reports/\"):\n legMulti = glob.glob(reportsDir+\"/leg/*.json\")\n legOne = glob.glob(reportsDir+\"/leg/oneproc/*.json\")\n legBroken = glob.glob(reportsDir+\"/leg/broken/*.json\")\n \n malMulti = glob.glob(reportsDir+\"/mal/*.json\")\n malOne = glob.glob(reportsDir+\"/mal/oneproc/*.json\")\n malBroken = glob.glob(reportsDir+\"/mal/broken/*.json\")\n \n print(\"\"\"Legal files:\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \"\"\"\n .format(len(legBroken+legMulti+legOne), len(legOne), len(legMulti), len(legBroken)))\n print(\"\"\"Malicious files:\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \"\"\"\n .format(len(malBroken+malMulti+malOne), len(malOne), len(malMulti), len(malBroken)))\n print(\"Working samples: {0}\".format(len(malMulti+malOne+legMulti+legOne)))","def dirsize(self):\n total = 0\n for p in self.select_file(recursive=True):\n try:\n total += p.size\n except: # pragma: no cover\n print(\"Unable to get file size of: %s\" % p)\n return total","def list_sources(config, base_dir, verbose=False):\n for source in config.sources_under(abspath(base_dir)):\n if verbose:\n print(\"# %s (%s)\" % (source.nicedir, ' '.join(source.info)))\n else:\n print(source.nicedir)","def count_total_line():\n count = 0\n file_count = 0\n for filename in os.listdir('.'):\n if filename.endswith(\".json\"):\n file_count += 1\n with open(filename, 'r', encoding='utf8') as f:\n for line in f:\n count += 1\n print(\"There are {0} lines in {1} json files\".format(count, file_count))","def _local_dir(self):\n return []","def check_init_files_and_folders():\n\t#['cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', 'cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', 'color_detect_2.py', 'dedupe.py', 'detect_image_group_ku.py', 'detect_shape_5.py', 'get_cam_id_2.py', 'get_image_8.py', 'gui_hsv.py', 'knaps.py', 'knapsack_2.py', 'maps.html', 'program_detect_rectangle.zip', 'start_capture.py']\n\tfile_list=[\n\t#'cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', \n\t'models/cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', \n\t#'color_detect_2.py', \n\t#'dedupe.py', \n\t'detect_bus_haar_group.py', \n\t#'detect_shape_5.py', \n\t'get_cam_detail.py', \n\t'get_image.py', \n\t#'gui_hsv.py', \n\t#'knaps.py', \n\t#'knapsack_2.py', \n\t#'maps.html', \n\t#'program_detect_rectangle.zip', \n\t'start_wimb.py',\n\t'g.php',\n\t]\n\tdirectory_list=[\n\t'images',\n\t'images_bgs',\n\t'images_bgs_mask',\n\t#'images_bgs_result',\n\t'images_color',\n\t'images_haar',\n\t'images_haar_result',\n\t'images_number',\n\t'images_number_result',\n\t'models',\n\t'images_old',\n\t'text_number',\n\t]\n\t\n\tfor file_name in file_list: print 'file '+file_name+' existed: '+str(os.path.isfile(file_name))\n\tfor directory_name in directory_list: \n\t\tprint 'directory '+directory_name+' existed: '+str(os.path.isdir(directory_name))\n\t\tif not os.path.isdir(directory_name): \n\t\t\tos.makedirs(directory_name)\n\t\tif \"images\" in directory_name: shutil.copy(path+'/g.php',path+'/'+directory_name+'/g.php')","def get_num_samples(org_dir, file_names):\n count = 0\n # Loop through the files, which then loop through the trees\n for filename in file_names:\n # Skip files that are not .mrg\n if not filename.endswith('.mrg'):\n continue\n # File is .mrg. Start processing\n file_dir = os.path.join(org_dir, filename)\n with open(file_dir, 'r', encoding='utf-8') as reader:\n content = reader.readlines()\n for _ in content:\n count += 1\n\n return count","def list_dir(self, path):","def all_loci():\n for fname in listdir(join(DATA_PATH, 'loci')):\n try:\n yield fetch_locus(fname)\n except Exception as e:\n print(f'{repr(e)} fetching {fname}')","def _discover_in_dir(self, dir_path: str) -> Optional[str]:\n for this_file in os.listdir(dir_path):\n if this_file.endswith('.esvi'):\n return os.path.join(dir_path, this_file)\n\n return None","def _get_total_games(self) -> int:\n files = get_tfr_filenames(self.config)\n total_games = 0\n for file in files:\n total_games += int(str(file).split('-')[1].split('.')[0])\n return total_games","def find_vasp_calculations():\n dir_list = [\n \"./\" + re.sub(r\"vasprun\\.xml\", \"\", path)\n for path in glob.iglob(\"**/vasprun.xml\", recursive=True)\n ]\n gz_dir_list = [\n \"./\" + re.sub(r\"vasprun\\.xml\\.gz\", \"\", path)\n for path in glob.iglob(\"**/vasprun.xml.gz\", recursive=True)\n ]\n return dir_list + gz_dir_list","def n_file(self):\n self.assert_is_dir_and_exists()\n n = 0\n for _ in self.select_file(recursive=True):\n n += 1\n return n","def findMayaFiles(directory):\n\n pass","def __calculate_current_row(self):\n last_data_file = None\n location = os.listdir(self.path)\n #Remove non-data files from our list of dirs.\n location = [element for element in location if 'data' in element]\n #Sort as integers so we get them in the right order.\n location = sorted(location, key=lambda x: int(x.split('.')[0].split('_')[1]), reverse = True)\n for f in location:\n if f[0:4] == 'data':\n last_line = None\n with open(self.path + '/' + f, 'r') as f:\n for line in f:\n if len(line) > 1:\n last_line = line\n if last_line:\n return json.loads(line)['row_id']\n\n return 0","def _rnlst(self, path, filelist):\n path = self._cleanpath(path)\n dirdict = self.parsedir(path)\n print(dirdict)\n \n trycwds = dirdict.get('trycwds', [])\n names = dirdict.get('names', [])\n \n for trycwd, name in zip(trycwds, names): \n if trycwd: # name is a directory\n self._rnlst(self.remotepathsep.join([path, name]), filelist)\n else: \n filelist.append(self.remotepathsep.join([path, name]))\n \n return filelist","def find_all_files(self):\n look4files = [ f for f in listdir(self.file_location) if isfile(join(self.file_location,f)) ]\n return look4files","def import_directory(self, directory):\n files_list = sys_utils.get_files_from_directory(directory)\n if files_list == None:\n return None, 0\n oids = []\n num_new_files = 0\n p = progress.progress(len(files_list))\n for file_location in files_list:\n oid, new_file = self.import_file(file_location)\n p.tick()\n if oid:\n oids.append(oid)\n if new_file:\n num_new_files += 1\n oids = list(set(oids)) # assert uniqueness \n return oids, num_new_files","def _get_files(self):\n # pylint: disable=unused-variable\n for dirpath, __, filenames in os.walk(self.start_location):\n for file_ in filenames:\n if file_.endswith('.py'):\n yield \"{0}{1}\".format(dirpath, file_)","def _get_base_files(self):\n setup_file = path.join(self.PyCogentDirectory, 'setup.py')\n #reqs_file = path.join(self.PyCogentDirectory, 'cogent-requirements.txt')\n #return [(setup_file, 'Python'), (reqs_file, 'Properties')]\n return [(setup_file, 'Python')]","def get_nb_files(directory):\r\n if not os.path.exists(directory):\r\n return 0\r\n cnt = 0\r\n for r, dirs, files in os.walk(directory):\r\n for dr in dirs:\r\n cnt += len(glob.glob(os.path.join(r, dr + \"/*\"))) # glob模块是用来查找匹配文件的，后面接匹配规则。\r\n return cnt","def file_stat(self, file_path):","def main():\n results = []\n results.extend(check_mounts())\n results.extend(diskusage())\n return results","def get_number_of_files(directory: str):\n\n number_of_files = len([item for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\n print(number_of_files)\n return number_of_files","def getNFiles(self, config, base, logger=None):\n if 'nfiles' in config:\n return galsim.config.ParseValue(config, 'nfiles', base, int)[0]\n else:\n return 189","def get_info(self):\n if os.path.isfile(self.path):\n total_size = os.path.getsize(self.path)\n total_files = 1\n elif os.path.exists(self.path):\n total_size = 0\n total_files = 0\n for x in os.walk(self.path):\n for fn in x[2]:\n fpath = os.path.normpath(os.path.join(x[0], fn))\n rel_path = os.path.relpath(fpath, self.path)\n if any(fnmatch.fnmatch(rel_path, ext) for ext in self.exclude):\n continue\n fsize = os.path.getsize(fpath)\n if fsize and not is_hidden_file(fpath):\n total_size += fsize\n total_files += 1\n else:\n raise exceptions.InvalidInputException\n if not (total_files and total_size):\n raise exceptions.EmptyInputException\n if self.piece_size:\n ps = self.piece_size\n else:\n ps = 1 << max(0, math.ceil(math.log(total_size / 1500, 2)))\n if ps < MIN_PIECE_SIZE:\n ps = MIN_PIECE_SIZE\n if ps > MAX_PIECE_SIZE:\n ps = MAX_PIECE_SIZE\n return (total_size, total_files, ps, math.ceil(total_size / ps))","def get_testing_data(self):\n\n print 'Loading testing data ', self.test_folder , '...'\n test_text = []\n cnt = 0\n\n for f in listdir(self.test_folder):\n file_path = join(self.test_folder, f)\n if isfile(file_path):\n cnt += 1\n if cnt % 10000 == 0:\n print 'finished:', cnt # line counter\n self.test_index.append(f[:-4])\n with open(file_path, 'rb') as f:\n test_text.append( f.read() )\n\n return test_text","def summarize(path: str) -> dict:\n results = parse_bactopia_directory(path)","def perform_calculations():\n # contains the result of the total repositories\n result = [] \n count_all_lines = 0 # mainatains the line that has been counted\n for_loops_list = []\n func_parameters = [] # function parameter checks list\n no_of_variables = set() # a set containing variables\n docs_comments = [] \n single_line_comments = []\n code_duplication = 0\n repo_imports_set = set() # imports for the entire repo\n current_repo = ''\n for item in traverse_repos():\n current_repo = item['repo_url']\n for path in item['files']:\n with open(path, 'r') as file_:\n lines = file_.readlines()\n # call code duplication\n code_duplication += code_duplication_check(lines)\n for line in lines:\n if re.match(r'^#.+', line.strip()):\n single_line_comments.append(line.strip())\n # this makes it possible to campare later\n # call find_repo_imports\n line_import = find_repo_imports(line)\n \n repo_imports_set.add(line_import)\n # call countlines of code function\n count_all_lines += count_lines_of_code(line.strip())\n # call find_for_loops\n for_loops = find_for_loops(line)\n if for_loops:\n for_loops_list.append(for_loops)\n function = avarage_parameters(line)\n if function:\n func_parameters.append(avarage_parameters(line))\n no_of_variables.add(avarage_variables_per_line(line))\n\n with open(path, 'r') as content_file:\n content = content_file.read()\n docs_comments.extend(find_docstrings_and_comments(content, single_line_comments))\n \n \n\n external_packages = find_external_packages(repo_imports_set)\n repo_lines_of_codes = count_all_lines - len(docs_comments)\n avarage_variables_repo = (len(no_of_variables)-1) / repo_lines_of_codes\n nesting = nesting_depth(for_loops_list) / len(for_loops_list)\n avarage_params = sum(func_parameters) / len(func_parameters)\n repo_result = {\n 'repository_url': current_repo, \n 'number of lines': repo_lines_of_codes, \n 'libraries': external_packages,\n 'nesting factor': nesting,\n 'code duplication': code_duplication,\n 'average parameters': avarage_params,\n 'average variables': avarage_variables_repo\n \n }\n result.append(repo_result)\n\n return result","def read_file_names(self):\n files_BIDMC = os.listdir(self.root_dir_BIDMC)\n masks_BIDMC = os.listdir(self.seg_dir_BIDMC)\n files_HK = os.listdir(self.root_dir_HK)\n masks_HK = os.listdir(self.seg_dir_HK)\n files_I2CVB = os.listdir(self.root_dir_I2CVB)\n masks_I2CVB = os.listdir(self.seg_dir_I2CVB)\n files_ISBI = os.listdir(self.root_dir_ISBI)\n masks_ISBI = os.listdir(self.seg_dir_ISBI)\n files_ISBI_15 = os.listdir(self.root_dir_ISBI_15)\n masks_ISBI_15 = os.listdir(self.seg_dir_ISBI_15)\n files_UCL = os.listdir(self.root_dir_UCL)\n masks_UCL = os.listdir(self.seg_dir_UCL)\n site_files = [files_BIDMC, files_HK, files_I2CVB, files_ISBI, files_ISBI_15, files_UCL]\n site_masks = [masks_BIDMC, masks_HK, masks_I2CVB, masks_ISBI, masks_ISBI_15, masks_UCL]\n return site_files, site_masks","def lookup_ifproc_file(obsnum, path='/data_lmt/ifproc/', debug=False):\n paths = [path]\n\n if 'ifproc' not in path:\n paths += ['/data_lmt/ifproc/']\n if 'lmtttpm' not in path:\n paths += ['/data_lmt/lmttpm/']\n if 'tel' not in path:\n paths += ['/data_lmt/tel/']\n\n if debug:\n print(paths)\n\n for path in paths:\n filenames = glob.glob(os.path.join(path, '*_%06d_*.nc' % obsnum))\n if len(filenames) > 0:\n if debug:\n print('found %s' % (filenames[0]))\n return filenames[0]\n return ''\n #filename = ''\n #for file in os.listdir(path):\n # if fnmatch.fnmatch(file,'*_%06d_*.nc'%(obsnum)):\n # print('found %s'%(file))\n # filename = path+file\n #if filename == '':\n #print('lookup_ifproc_file: no file for obsnum ', obsnum)\n #if 'lmttpm' not in path:\n # print('look in lmttpm')\n # return lookup_ifproc_file(obsnum,path='/data_lmt/lmttpm/')\n #return(filename)","def compute_code():\n for file in os.listdir('./src/Templates'):\n input.parse_template('./src/Templates/' + file, './student/' + file + '.py')\n data = input.load_input()\n return len([k for k in data['input'].keys() if '@' not in k])","def calculate(d):\r\n\r\n # Set correct slashes for the OS\r\n if sys.platform == 'windows':\r\n slash = '\\\\'\r\n elif sys.platform == 'linux':\r\n slash = '/'\r\n else:\r\n print('#Error. Unknown platform.')\r\n return\r\n\r\n print('Files in the current directory and their md5-hashes:\\n')\r\n i = 0\r\n assert i == 0, '#Error. Variable i != 0.'\r\n\r\n for i in range(len(d[2])): # Go through the list of files\r\n full_path = d[0]+slash+d[2][i]\r\n print(full_path) # Get the list of files with full paths\r\n print(md5(full_path))\r\n size(full_path)","def find_data(self):\n data_list = []\n for root, dirs, files in os.walk(pathfinder.data_path()):\n for name in files:\n data_list.append(os.path.join(root, name))\n return data_list","def count_files_dir(self,full_path):\n try:\n num_files = len([name for name in os.listdir(full_path) if os.path.isfile(self.FILENAME)])\n print(f\"Number of files in {full_path} is {num_files}\")\n return num_files\n except Exception as e:\n raise SystemExit(f\"Could not complete operation: {e}\")","def read_inputs(self):\n curdir = os.getcwd()\n os.chdir(self.fst_dir)\n rstat = self.readFST()\n if rstat == 0:\n os.chdir(curdir)\n return 0\n # the names of the next files are either set by caller or come from the reading the FAST file\n rstat = self.readNoise()\n rstat = self.readAD()\n rstat = self.readBlade()\n rstat = self.readPtfm()\n os.chdir(curdir)","def getAllVCFs(inputFolder):\n listOfFiles = []\n numErrors = 0\n for folder in os.listdir(inputFolder): #Loop through all folders\n # print(folder)\n try: # using a try-xcept block to avoid errors with other files \n # not following this structure\n # TODO: make this cleaner\n vcfLoc = os.path.join(inputFolder, os.path.join(folder, \"pilon/\"))\n # print(vcfLoc)\n for potentialFile in os.listdir(vcfLoc):\n # print(potentialFile)\n if(potentialFile.endswith(\".vcf.gz\")):\n listOfFiles.append(os.path.join(vcfLoc, potentialFile))\n except:\n # print(\"error at \" + folder)\n numErrors += 1\n print(numErrors)\n return listOfFiles","def _checkpoint_numbers(cls, checkpoints_dir):\n dirs = [d for d in listdir(checkpoints_dir) if d.endswith('.checkpoint')]\n return sorted([int(d[:-11]) for d in dirs])","def get_amount_by_file(path):\n if os.stat(path).st_size == 0:\n raise Exception\n with open(path, 'r') as file:\n items = file.read().split(',')\n total = reduce(lambda x, y: int(x) + int(y), items)\n return total","def readNSRelaxFiles(folder_path):\n\n run_arr = []\n Nrun_arr = []\n dod_arr = []\n crate_arr = []\n count=0\n\n # find number of files that starts with run\n # (this is the data file we want to read)\n for file in os.listdir(folder_path):\n if file.startswith(\"relaxrun\"):\n count+=1\n\n # order the data files by run number, so we get descending crates\n Nrun=1\n for i in range(count+5):\n for file in os.listdir(folder_path):\n if file.startswith(\"relaxrun_\"+str(Nrun)+\"_\"):\n run_arr.append(file)\n dod = re.search('dod=(.*).txt', file).group(1)\n crate = re.search('Crate=(.*)_',file).group(1)\n Nrun_arr.append(np.round(int(Nrun),decimals=0))\n dod_arr.append(float(dod))\n crate_arr.append(float(crate))\n Nrun+=1\n print(len(run_arr))\n\n return run_arr, Nrun_arr, dod_arr, crate_arr","def _determine_local_import_names(start_dir):\n file_ext_pairs = [os.path.splitext(path) for path in os.listdir(start_dir)]\n return [\n basename\n for basename, extension\n in file_ext_pairs\n if extension == '.py' or os.path.isdir(\n os.path.join(start_dir, basename))\n and basename not in ('__pycache__')]","def get_results_labels(dir_path):\n dx = 0\n directories = [dI for dI in os.listdir(dir_path)\n if os.path.isdir(os.path.join(dir_path, dI))]\n results = []\n\n for directory in directories:\n # collect the path to all results files\n path = os.path.join(dir_path, directory)\n files = [os.path.join(path, f) for f in os.listdir(path)\n if os.path.isfile(os.path.join(path, f))\n and 'results' in f]\n\n # if the directory does not have results files, move on to the next\n if len(files) == 0:\n continue\n\n # collect the average cumulative returns per training iteration\n res = []\n lengths = []\n for i, f in enumerate(files):\n data = pd.read_csv(f)\n if i == 0:\n dx = data['total/steps'][2] - data['total/steps'][1]\n res.append(data['rollout/return_history'])\n lengths.append(len(data['rollout/return_history']))\n\n res = [[r[:min(lengths)]] for r in res]\n results.append(np.concatenate(res, axis=0))\n\n return results, directories, dx","def get_python_files(all_files=None):\n if all_files is None:\n all_files = ci_diff_helper.get_checked_in_files()\n\n production_files = []\n test_files = []\n for filename in all_files:\n if not valid_filename(filename):\n continue\n if is_test_filename(filename):\n test_files.append(filename)\n else:\n production_files.append(filename)\n\n return production_files, test_files","def reportinfo(self):\n return super().reportinfo()[:2] + (self.fspath.relto(os.getcwd()),)","def count_dirs_and_files(directory='.'):\n pass","def ttl_files_in_dir(dir_path, pat='.'):\n if not path.isdir(dir_path):\n raise NotADirectoryError\n\n # In a subprocess, count list the files in the dir and count them, convert output to an int\n ttl = int(check_output('ls -A -U --color=never {} | grep {} | wc -l'.format(dir_path, pat), shell=True).strip())\n\n return ttl","def count(train_dir):\r\n path = train_dir\r\n count = 0\r\n for fn in os.listdir(path): #fn 表示的是文件名\r\n count = count + 1\r\n return count","def _gather_path(self, comp, path, function_map):\n print(f'\"Analyzing {comp} at {path}')\n if not os.path.exists(path):\n print('No files in {path}')\n return\n\n for root, _dirs, files in os.walk(path):\n if self.excluded(root):\n continue\n if not self.included(root, self.dir_inclusions):\n continue\n for fname in files:\n if not self.included(fname, self.file_inclusions):\n continue\n if fname.endswith(\".su\"):\n with open(os.path.join(root, fname), \"r\") as frame:\n for line in frame.readlines():\n split = line.split()\n if len(split) < 3:\n continue\n func = f\"{comp}:{split[0]}\"\n usage = int(split[-2])\n if usage < self.cutoff:\n continue\n if func not in function_map:\n function_map[func] = usage\n elif usage > function_map[func]:\n function_map[func] = usage"],"string":"[\n \"def loc():\\n file_types = (\\n ['Python', 'py', '#']\\n )\\n\\n click.echo('Lines of code\\\\n-------------')\\n\\n click.echo(\\\"{0}: {1}\\\".format(file_types[0], count_locs(file_types[1],\\n file_types[2])))\\n\\n return None\",\n \"def analyze_files(self):\\n for file in os.listdir(self.directory):\\n if file[-3:] == (\\\".py\\\"):\\n fopen = open(os.path.join(self.directory, file), \\\"r\\\")\\n try:\\n if not (py_file := fopen):\\n raise FileNotFoundError\\n\\n with py_file: # close file after opening\\n class_count: int = 0\\n fun_count: int = 0\\n l_count: int = 0\\n ch_count: int = 0\\n for line in py_file: # calculate values for the file\\n if line.strip().startswith(\\\"class \\\"):\\n class_count = class_count+1\\n elif line.strip().startswith(\\\"def \\\"):\\n fun_count = fun_count+1\\n\\n l_count = l_count+1\\n ch_count = ch_count+len(line)\\n\\n self.files_summary[str(os.path.join(self.directory, file))] = {\\\"class\\\": class_count, \\\"function\\\": fun_count, \\\"line\\\": l_count,\\n \\\"char\\\": ch_count}\\n except FileNotFoundError:\\n print(f\\\"File {py_file} is not found or can not be opened\\\")\\n fopen.close()\",\n \"def checkSum():\\n val = 0\\n for ext in EXTENSION_GLOBS:\\n for f in glob.glob (ext):\\n stats = os.stat(f)\\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\\n return val\",\n \"def fileCounter(directory):\",\n \"def getFileLoc(self):\\n\\t\\trval = []\\n\\t\\tlocalVolTbl = self.file_loc['localVolTbl']\\n\\t\\tnetVolTbl = self.file_loc['netVolTbl']\\n\\t\\t\\n\\t\\tif localVolTbl != None:\\n\\t\\t\\trval.extend((FILE_LOC[0],\\n\\t\\t\\t\\tFILE_LOC[1] + self.file_loc['basePathname'] + \\\\\\n\\t\\t\\t\\t\\\"\\\\\\\\\\\" + self.file_loc['remainPathname']))\\n\\t\\n\\t\\t\\tfor ii in range(len(VOL_TYPE)):\\n\\t\\t\\t\\tif (self.header['file_attributes'] & (2 ** (ii + 1))) > 0:\\n\\t\\t\\t\\t\\trval.append(VOL_TYPE[ii])\\n\\t\\t\\t\\t\\n\\t\\t\\trval.extend((FILE_LOC[2] + localVolTbl['volume_label'],\\n\\t\\t\\t\\tFILE_LOC[3] + str(localVolTbl['vol_serial_num'])))\\t\\t\\n\\t\\n\\t\\tif netVolTbl != None:\\n\\t\\t\\trval.append(FILE_LOC[4] + netVolTbl['net_sharename'] + \\\\\\n\\t\\t\\t\\t\\\"\\\\\\\\\\\" + self.file_loc['remainPathname'])\\n\\t\\treturn rval\",\n \"def check_dir(self):\\n if not Path(self.src_dir).exists():\\n print('No such directory found:', self.src_dir)\\n return\\n\\n nc_all = self.src_dir + \\\"/*.nc*\\\"\\n if len(glob.glob(nc_all)) == 0:\\n print('No NetCDF files found in:', self.src_dir)\\n return\\n\\n return nc_all\",\n \"def analyze_files(self):\\n num_file = 0\\n results = dict()\\n try:\\n list_files = os.listdir(self.directory)\\n except FileNotFoundError:\\n raise FileNotFoundError(\\\"Can't find any file\\\")\\n else:\\n for file in list_files: #looping the files in the directly\\n num_file += 1\\n if file.endswith(\\\".py\\\"): # Looking for files that end with .py\\n try:\\n fp = open(os.path.join(self.directory, file), \\\"r\\\")\\n except FileNotFoundError:\\n raise FileNotFoundError(f\\\"Can't open file no {num_file}\\\")\\n else:\\n with fp:\\n c_total = 0 #Total length of Characters for the entire file\\n filename = file # Storing the file name\\n t_line = 0 # Getting the total number of line\\n t_def = 0 #Getting the total number of functions\\n t_class = 0 #Getting the total number of classes\\n \\n for line in fp:\\n t_line += 1 # Counting each line\\n t_char = len(line) #Length of characters for each line\\n n_line = line.strip() # gets rid of white spaces and new lines\\n c_total += t_char # adding each total char in line to the pervious total char in line\\n if n_line.startswith(\\\"def \\\"): \\n t_def += 1 \\n elif n_line.startswith(\\\"class \\\"):\\n t_class += 1\\n results[filename] = {'class': t_class, 'function': t_def, 'line': t_line, 'char': c_total }\\n return results\",\n \"def test_case_6():\\n print(\\\"*********Test_case_6***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir', 't1.c')\\n result = find_files('.c', path)\\n print(result)\",\n \"def test_case_5():\\n print(\\\"*********Test_case_5***********\\\")\\n result = find_files('.c', \\\"\\\")\\n print(result)\",\n \"def execute(root_dir):\\n \\n \\n #Getting all the file recursively that py files\\n lenght=[]\\n libraries=[]\\n nesting_factors=[]\\n param_count=[]\\n total_var=[]\\n duplicate_for_the_repo=[]\\n average_nesting_factor=0\\n average_param=0\\n code_duplication=0\\n avg_var=0\\n \\n k=root_dir.rsplit('-')\\n n=k[0]\\n m=k[-1]\\n \\n urls=[ repo for repo in repo_list if n and m in repo ]\\n if urls:\\n url=urls[0]\\n else:\\n url=root_dir\\n\\n for filename in glob.iglob(root_dir + '/**/*.py', recursive=True):\\n #filename=filename.replace(\\\" \\\", \\\"\\\\\\\\ \\\")\\n filename=str_to_raw(filename)\\n try: \\n count=pygount.source_analysis(filename, 'pygount') # counting the line of codes for the py files\\n l=count.code\\n lenght.append(l)\\n library =imported_module(filename)\\n for lib in library:\\n libraries.append(lib)\\n deg_list=nesting_factor(for_loop_position(filename)) \\n for deg in deg_list:\\n nesting_factors.append(deg)\\n\\n\\n\\n for param in parameter_count(filename):\\n param_count.append(param)\\n for var in variable_count(filename):\\n total_var.append(var)\\n duplicate_for_the_repo.append(duplicated_line(filename))\\n except Exception as e:\\n print(\\\"type error: \\\" + str(e))\\n print(filename)\\n \\n \\n if len(nesting_factors) !=0: \\n average_nesting_factor= np.mean(nesting_factors)\\n if param_count: \\n average_param= np.mean(param_count) \\n libraries=unique(libraries)\\n repo_count=sum(lenght)\\n if total_var:\\n avg_var=np.mean(total_var)\\n if repo_count and duplicate_for_the_repo:\\n code_duplication=(sum(duplicate_for_the_repo)/repo_count)*100\\n \\n return {'repository_url': url, \\n 'number of lines': repo_count, \\n 'libraries': libraries,\\n 'nesting factor': average_nesting_factor,\\n 'code duplication': code_duplication,\\n 'average parameters':average_param,\\n 'average variables':avg_var}\",\n \"def _get_run_info(self, path, creation_date):\\n total = 0\\n try:\\n for entry in os.scandir(path):\\n # Only evaluates size of files and not folders inside raw/proc\\n if entry.is_file():\\n # if it's a file, use stat() function\\n total += entry.stat().st_size\\n\\n except NotADirectoryError:\\n # if `path` isn't a directory, get the file size then\\n total = os.path.getsize(path)\\n except PermissionError:\\n # if for whatever reason we can't open the folder, return 0\\n return 0\\n\\n if os.path.isdir(path):\\n validator = RunValidator(path)\\n elif path.endswith(\\\".h5\\\"):\\n validator = FileValidator(H5File(path).files[0])\\n else:\\n return 0\\n\\n try:\\n validator.run_checks()\\n except Exception:\\n pass\\n return total, str(ValidationError(validator.problems))\",\n \"def test_case_3():\\n print(\\\"*********Test_case_3***********\\\")\\n result = find_files('.c', None)\\n print(result)\",\n \"def count_LOC(path):\\n re_empty = re.compile(r\\\"[\\\\s]*(#|\\\\n|\\\\\\\"\\\\\\\"\\\\\\\")\\\")\\n re_for = re.compile(r\\\"for.*in\\\")\\n re_lambda = re.compile(r\\\"lambda\\\")\\n re_if = re.compile(r\\\"if.*:\\\")\\n re_def = re.compile(r\\\"def (?P<fname>\\\\w+)\\\\(\\\")\\n\\n total_LOC, indent_level = 0, 0\\n cur_part = None\\n parts = defaultdict(int)\\n\\n with open(path, 'r') as _file:\\n for line in filter(lambda l : not re_empty.match(l), _file):\\n\\n extra = len( re_for.findall(line) ) - 1 + len( re_lambda.findall(line) ) - 1 + len( re_if.findall(line) ) -1\\n\\n if extra < 0: extra = 0\\n\\n total_LOC += 1 + extra\\n if cur_part:\\n parts[cur_part] += 1 + extra\\n\\n defs = re_def.search(line)\\n if defs:\\n cur_part = defs.groupdict()['fname']\\n indent_level = first_non_whitespace(line)\\n\\n cur_indent = first_non_whitespace(line)\\n if cur_indent < indent_level:\\n cur_part = None\\n indent_level = cur_indent\\n\\n return(total_LOC, parts)\",\n \"def getBaseSrcFile(self) -> List[int]:\\n ...\",\n \"def checkSumHelper(arg, dirname, fnames):\\n val = 0\\n files = [name for name in fnames if os.path.splitext(name)[1] in EXTENSIONS]\\n for file in files:\\n absFile = os.path.join(dirname,file)\\n try:\\n stats = os.stat(absFile)\\n except OSError,e:\\n # This is to skip over temporary files or files\\n # nosy doesn't have permission to access\\n # print \\\"Nosy: skipping file %s with error %s\\\"%(absFile,e)\\n continue\\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\\n arg.append(val)\\n return\",\n \"def test_case_1():\\n print(\\\"*********Test_case_1***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir')\\n result = find_files('.c', path)\\n for file in result:\\n print(file)\",\n \"def test_case_4():\\n print(\\\"*********Test_case_4***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir')\\n result = find_files('', path)\\n for file in result:\\n print(file)\",\n \"def print_local_output_files_stats():\\n print \\\"\\\\n\\\\nFILES CREATED:\\\"\\n for filename in os.listdir('../output'):\\n filesize = os.path.getsize('../output/' + filename)\\n print str(filesize) + \\\"\\\\t\\\" + filename\\n print \\\"\\\\n\\\"\",\n \"def get_amount_of_data(directory: str):\\n size = sum([os.path.getsize(os.path.join(directory, item)) for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\\n print(size)\\n return size\",\n \"def readfiles(self, dirname , search , notsearch = 'rgvar' , notdir = 'xyvwa'):\\n print('We are in the following directory: %s looking for files that contain %s and not %s' %(dirname, search , notsearch))\\n dirlist = os.listdir(dirname)\\n for filep in dirlist:\\n filep = os.path.join(dirname,filep) \\n if os.path.islink(filep):\\n pass\\n elif os.path.isdir(filep):\\n m = re.search(notdir , filep)\\n if m is None:\\n self.readfiles(filep , search, notsearch = notsearch, notdir = notdir )\\n elif os.path.isfile(filep) and '.dat' in filep: \\n nm = re.search(notsearch, filep)\\n m = re.search(search , filep)\\n #print m , nm\\n if m is not None and nm is None:\\n self.plotfiles.append(filep)\\n else:\\n pass\",\n \"def my_root_listdir(root_dir):\\n root_listdir = [\\n images_dir\\n for images_dir in os.listdir(root_dir)\\n if not any(\\n characters in images_dir for characters in [\\\".\\\", \\\"test\\\", \\\"train\\\", \\\"valid\\\"]\\n )\\n ]\\n summ = 0\\n for images_dir in root_listdir:\\n summ += len(os.listdir(root_dir + \\\"/\\\" + images_dir)) / 2 - 2\\n print(\\\"Sum of images in directories: \\\", int(summ))\\n return root_listdir\",\n \"def retrive_scanning_scheme(self, Nest_data_directory, file_keyword = 'PMT_0Zmax'):\\r\\n fileNameList = []\\r\\n# ImgSequenceNum = 0\\r\\n for file in os.listdir(Nest_data_directory):\\r\\n if file_keyword in file:\\r\\n fileNameList.append(file)\\r\\n \\r\\n RoundNumberList = []\\r\\n CoordinatesList = []\\r\\n for eachfilename in fileNameList:\\r\\n # Get how many rounds are there\\r\\n try:\\r\\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Grid')])\\r\\n except:\\r\\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Coord')])\\r\\n \\r\\n RoundNumberList = list(dict.fromkeys(RoundNumberList)) # Remove Duplicates\\r\\n \\r\\n CoordinatesList.append(eachfilename[eachfilename.index('Coord'):eachfilename.index('_PMT')])\\r\\n CoordinatesList = list(dict.fromkeys(CoordinatesList))\\r\\n \\r\\n# print(RoundNumberList, CoordinatesList, fileNameList)\\r\\n return RoundNumberList, CoordinatesList, fileNameList\",\n \"def add_loc(self):\\n self.loc = 0\\n for t in self.thys:\\n with open(t, 'r') as f:\\n for l in f:\\n if l.strip():\\n self.loc += 1\",\n \"def process_files(file_location, day):\\n # construct file path\\n file_dir = PREFIX+file_location\\n file_pattern = file_dir+'lz_'+day+'*_raw.root'\\n # print(file_pattern)\\n file_list = glob.glob(file_pattern)\\n print(\\\"There are %s MC files in the requested directory (%s).\\\" %(len(file_list), file_dir))\\n file_names = []\\n for f in file_list:\\n file_name_only = f.split('/')\\n file_names.append(file_name_only[-1])\\n return file_names\",\n \"def scan(self,project_dir):\\n ftypes = [\\\".csv\\\", \\\".data\\\", \\\".xlsx\\\"]\\n print(\\\"Scanning directory : \\\",project_dir)\\n print(\\\"Searching for : \\\",ftypes)\\n self.localfiles = {}\\n for dirpath, dirnames, filenames in os.walk(project_dir, topdown=True):\\n for filename in filenames:\\n for ftype in ftypes:\\n if ftype in filename:\\n self.localfiles[filename] = {\\n \\\"filename\\\": filename,\\n \\\"filesize\\\": getsize(os.path.join(dirpath, filename)),\\n \\\"abspath\\\": os.path.join(dirpath, filename),\\n \\\"dirpath\\\": dirpath,\\n \\n }\\n print(\\\"Found These: \\\",[file_name for file_name in self.localfiles.keys()])\",\n \"def getFilePaths():\\n \\n image_dir = r'/hpc/wfok007/mpi_heart/Training Set'\\n mask_paths = []\\n image_paths = []\\n for root, dirs, files in os.walk(image_dir, topdown=False):\\n for name in files:\\n if name == 'laendo.nrrd':\\n mask_paths.append(os.path.join(root, name))\\n elif name == 'lgemri.nrrd':\\n image_paths.append(os.path.join(root, name))\\n else:\\n print ('%s is unknown' %name)\\n return mask_paths, image_paths\",\n \"def total_files(self):\\n command = \\\"SELECT searched FROM options;\\\"\\n return self.c.execute(command)\",\n \"def get_checkpoint():\\n\\timport numpy as np\\n\\n\\tcheckpoint = []\\n\\tfor directory in directories:\\n\\t\\ttry: # try to find folder\\n\\t\\t\\tos.chdir('./'+directory)\\n\\t\\texcept:\\n\\t\\t\\tcontinue\\n\\t\\tcontents = os.listdir('./')\\n\\t\\tif contents == []: # if folder is empty\\n\\t\\t\\tprint(\\\"No data for\\\", directory)\\n\\t\\t\\tos.chdir('..')\\n\\t\\t\\tcontinue\\n\\t\\tcounter = []\\n\\t\\tfor entry in contents:\\n\\t\\t\\tentry = entry.split('.')\\n\\t\\t\\tnum = entry[0][2:]\\n\\t\\t\\ttry: # excludes files that aren't of type x-y.jpg\\n\\t\\t\\t\\tnum = int(num)\\n\\t\\t\\t\\tcounter.append(num)\\n\\t\\t\\texcept:\\n\\t\\t\\t\\tcontinue\\n\\t\\tcheckpoint.append(max(counter))\\n\\t\\tos.chdir('..')\\n\\tcheckpoint = np.mean(checkpoint)\\n\\treturn checkpoint\",\n \"def target_totalfiles(self):\\n return self._cfg.get('totalfiles', None)\",\n \"def test_case_2():\\n print(\\\"*********Test_case_2***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir')\\n result = find_files(None, path)\\n print(result)\",\n \"def scanFiles(directory, includes = [\\\"*\\\"], excludes = []):\\n\\treturn scanAll(directory, includes, excludes)[1]\",\n \"def fs_files_total(self):\\n return self._fs_files_total\",\n \"def test_search_file(self):\\n base_dir = join(get_current_path(), 'samples', 'base_dir1')\\n output_dir = join(get_current_path(), 'samples', 'base_dir1', 'result')\\n files = search_files(base_dir, output_dir)\\n self.assertTrue(self.verify_sub_folders(list(files.keys())))\\n\\n # sub folders under Concord is not counted, only files\\n self.assertEqual(len(files['Concord']), 5)\\n self.assertEqual(len(files['ListCo Equity']), 1)\\n self.assertEqual(len(files['CLO Equity']), 2)\\n self.assertEqual(files['ListCo Equity'][0], join(base_dir, 'ListCo Equity', 'Positions1219.xlsx'))\",\n \"def get_all_metrics(dir):\\r\\n file_lst = os.listdir(dir)\\r\\n file_lst = list(filter(lambda x: re.findall(r'\\\\.csv$',x), file_lst))\\r\\n return file_lst\",\n \"def gather_counts(directory):\\n counts_un = defaultdict(int)\\n counts_bi = defaultdict(int)\\n counts_tri = defaultdict(int)\\n prev_prev = \\\"<s>\\\"\\n prev = \\\"<s>\\\"\\n for filename in os.listdir(f\\\"./{directory}\\\"):\\n if \\\".DS_Store\\\" in filename:\\n continue\\n with open(f\\\"./{directory}/{filename}\\\", \\\"r\\\") as f:\\n for line in f:\\n line = line.strip()\\n if len(line) == 0:\\n continue\\n counts_un[line+\\\"\\\\n\\\"] += 1\\n counts_bi[prev+\\\"\\\\n\\\"+line+\\\"\\\\n\\\"] += 1\\n counts_tri[prev_prev+\\\"\\\\n\\\"+prev+\\\"\\\\n\\\"+line+\\\"\\\\n\\\"] += 1\\n prev_prev = prev\\n prev = line\\n counts_un[\\\"</s>\\\\n\\\"] += 2\\n counts_bi[\\\"</s>\\\\n</s>\\\\n\\\"] += 1\\n counts_bi[prev+\\\"\\\\n\\\"+\\\"</s>\\\\n\\\"] += 1\\n counts_tri[prev_prev+\\\"\\\\n\\\"+prev+\\\"\\\\n\\\" + \\\"</s>\\\\n\\\"] += 1\\n counts_tri[prev+\\\"\\\\n</s>\\\\n</s>\\\\n\\\"] += 1\\n return counts_un, counts_bi, counts_tri\",\n \"def current_missing(**kwargs) -> int:\\n data_path = os.environ.get(BBG_ROOT, '').replace('\\\\\\\\', '/')\\n if not data_path: return 0\\n return len(files.all_files(f'{data_path}/Logs/{missing_info(**kwargs)}'))\",\n \"def getNtot(self,dir):\\n return int(readfile(dir + '/struct_enum.out')[-1].split()[0])\",\n \"def test_known_file_locations(dataset: linux.LinuxSourcesDataset):\\n assert (dataset.src_tree_root / \\\"kernel\\\" / \\\"kexec.c\\\").is_file()\\n assert (dataset.src_tree_root / \\\"kernel\\\" / \\\"smpboot.h\\\").is_file()\",\n \"def usagestats_parse(dirpath):\\r\\n # Create database\\r\\n # TODO: change to an easier format, probably json.\\r\\n db, cursor = create_table()\\r\\n\\r\\n # Some vars for logging\\r\\n processed = 0\\r\\n err = 0\\r\\n\\r\\n # Iterate through the /usagestats/ directory and fetch all files\\r\\n for root, dirnames, filenames in os.walk(dirpath, topdown=True, onerror=None, followlinks=False):\\r\\n if 'daily' in root or 'weekly' in root or 'monthly' in root or 'yearly' in root:\\r\\n # Retrieve the folder name to save what the frequency of the usagestats were:\\r\\n frequency = root.split('/')[-1]\\r\\n for filename in filenames:\\r\\n # Check if filename is only numbers (which is an epoch time representation)\\r\\n if filename.isnumeric():\\r\\n try:\\r\\n tree = ET.parse(os.path.join(root, filename))\\r\\n except ET.ParseError:\\r\\n parse_file_with_protobuf(os.path.join(root, filename), db)\\r\\n continue\\r\\n\\r\\n # We have sucessfully parsed the usagestats xml.\\r\\n # So continue processing\\r\\n tree_root = tree.getroot()\\r\\n\\r\\n for elem in tree_root:\\r\\n parse_sub_elements(frequency, elem, filename, db)\\r\\n\\r\\n # query for reporting\\r\\n cursor.execute('''\\r\\n select \\r\\n usage_type,\\r\\n datetime(lastime/1000, 'UNIXEPOCH', 'localtime') as lasttimeactive,\\r\\n timeactive as time_Active_in_msecs,\\r\\n timeactive/1000 as timeactive_in_secs,\\r\\n case last_time_service_used WHEN '' THEN ''\\r\\n ELSE datetime(last_time_service_used/1000, 'UNIXEPOCH', 'localtime')\\r\\n end last_time_service_used,\\r\\n case last_time_visible WHEN '' THEN ''\\r\\n ELSE datetime(last_time_visible/1000, 'UNIXEPOCH', 'localtime') \\r\\n end last_time_visible,\\r\\n total_time_visible,\\r\\n app_launch_count,\\r\\n package,\\r\\n CASE types\\r\\n WHEN '1' THEN 'MOVE_TO_FOREGROUND'\\r\\n WHEN '2' THEN 'MOVE_TO_BACKGROUND'\\r\\n WHEN '5' THEN 'CONFIGURATION_CHANGE'\\r\\n WHEN '7' THEN 'USER_INTERACTION'\\r\\n WHEN '8' THEN 'SHORTCUT_INVOCATION'\\r\\n ELSE types\\r\\n END types,\\r\\n classs,\\r\\n source,\\r\\n fullatt\\r\\n from data\\r\\n order by lasttimeactive DESC\\r\\n ''')\\r\\n all_rows = cursor.fetchall()\\r\\n\\r\\n # HTML report section\\r\\n h = open('./Report.html', 'w')\\r\\n h.write('<html><body>')\\r\\n h.write('<h2>Android Usagestats report (Dates are localtime!)</h2>')\\r\\n h.write('<style> table, th, td {border: 1px solid black; border-collapse: collapse;}</style>')\\r\\n h.write('<br />')\\r\\n\\r\\n # HTML headers\\r\\n h.write('<table>')\\r\\n h.write('<tr>')\\r\\n h.write('<th>Usage Type</th>')\\r\\n h.write('<th>Last Time Active</th>')\\r\\n h.write('<th>Time Active in Msecs</th>')\\r\\n h.write('<th>Time Active in Secs</th>')\\r\\n h.write('<th>Last Time Service Used</th>')\\r\\n h.write('<th>Last Time Visible</th>')\\r\\n h.write('<th>Total Time Visible</th>')\\r\\n h.write('<th>App Launch Count</th>')\\r\\n h.write('<th>Package</th>')\\r\\n h.write('<th>Types</th>')\\r\\n h.write('<th>Class</th>')\\r\\n h.write('<th>Source</th>')\\r\\n h.write('</tr>')\\r\\n\\r\\n for row in all_rows:\\r\\n usage_type = row[0]\\r\\n lasttimeactive = row[1]\\r\\n time_Active_in_msecs = row[2]\\r\\n timeactive_in_secs = row[3]\\r\\n last_time_service_used = row[4]\\r\\n last_time_visible = row[5]\\r\\n total_time_visible = row[6]\\r\\n app_launch_count = row[7]\\r\\n package = row[8]\\r\\n types = row[9]\\r\\n classs = row[10]\\r\\n source = row[11]\\r\\n\\r\\n processed = processed + 1\\r\\n # report data\\r\\n h.write('<tr>')\\r\\n h.write('<td>' + str(usage_type) + '</td>')\\r\\n h.write('<td>' + str(lasttimeactive) + '</td>')\\r\\n h.write('<td>' + str(time_Active_in_msecs) + '</td>')\\r\\n h.write('<td>' + str(timeactive_in_secs) + '</td>')\\r\\n h.write('<td>' + str(last_time_service_used) + '</td>')\\r\\n h.write('<td>' + str(last_time_visible) + '</td>')\\r\\n h.write('<td>' + str(total_time_visible) + '</td>')\\r\\n h.write('<td>' + str(app_launch_count) + '</td>')\\r\\n h.write('<td>' + str(package) + '</td>')\\r\\n h.write('<td>' + str(types) + '</td>')\\r\\n h.write('<td>' + str(classs) + '</td>')\\r\\n h.write('<td>' + str(source) + '</td>')\\r\\n h.write('</tr>')\\r\\n\\r\\n # HTML footer\\r\\n h.write('<table>')\\r\\n h.write('<br />')\\r\\n\\r\\n print('')\\r\\n print('Records processed: ' + str(processed))\\r\\n print('Triage report completed. See Reports.html.')\",\n \"def avail(self):\\n\\n return os.listdir(self.datadir)\",\n \"def checkSumWalk(top=\\\".\\\", func=checkSumHelper):\\n values = []\\n os.path.walk( top, checkSumHelper, values )\\n return sum(values)\",\n \"def MainStats(path, filetype, NrExp, col, start, stop):\\n# path= path.split('/') # here is better to google and see what is going on. Or experiment alone\\n# path= \\\"/\\\".join(path[:-1]) \\n dato=ExtractData_raw_files(path, filetype)\\n dBase=dato.createDictBase()\\n stats = Stats(dBase, NrExp, col, start, stop)\\n means, stds=stats.Means_Stds()\\n times = stats.time_return()\\n return means , stds, times\",\n \"def _get_filepaths(self):\\n self._printer(str(self.__len__()) + \\\" file paths have been parsed in \\\" + str(self.timer.end))\\n if self._hash_files:\\n return pool_hash(self.filepaths)\\n else:\\n return self.filepaths\",\n \"def totalFiles(pathCopyData, pathNetCDF, dateInit, dateFinal):\\n dateInit = datetime.strptime(dateInit, '%Y-%m-%d')\\n dateFinal = datetime.strptime(dateFinal, '%Y-%m-%d')\\n dirr = pathCopyData\\n dirr2 = pathNetCDF\\n #name = 'wrfout_c1h_d01_\\\\d\\\\d\\\\d\\\\d-\\\\d\\\\d-\\\\d\\\\d_00:00:00.\\\\d\\\\d\\\\d\\\\d.nc'\\n name = 'wrfout_c1h_d01_\\\\d\\\\d\\\\d\\\\d-\\\\d\\\\d-\\\\d\\\\d_00:00:00.a\\\\d\\\\d\\\\d\\\\d'\\n date = '\\\\d\\\\d\\\\d\\\\d-\\\\d\\\\d-\\\\d\\\\d'\\n fil = []\\n ba = []\\n patron2 = re.compile(date)\\n patron = re.compile(name + '.*')\\n for base, dirs, files in os.walk(dirr2, topdown=True):\\n for value in files:\\n if patron.match(value) != None:\\n f = patron2.findall(value)\\n dateNetCDF = datetime.strptime(f[0], '%Y-%m-%d')\\n if (dateNetCDF < dateFinal) & (dateNetCDF > dateInit):\\n fil.append(value)\\n ba.append(base)\\n fdata = df.DataFrame(fil, columns=['nameFile'])\\n fbase = df.DataFrame(ba, columns=['nameBase'])\\n fdata.to_csv(dirr + 'tfile.txt', encoding='utf-8', index=False)\\n fbase.to_csv(dirr + 'tbase.txt', encoding='utf-8', index=False)\",\n \"def totalfiles(self):\\n return len([sz for sz in self.iterate()])\",\n \"def lsinfo(path):\",\n \"def enumerate():\\n names = [f for f in os.listdir(_INPUT_ROOT) if not\\n os.path.isdir(os.path.join(_INPUT_ROOT, f))]\\n return sorted(names)\",\n \"def test_scan_dir_files(self):\\n self.run_scan(self.subdir, self.nest_fcount + 1)\",\n \"def _find_files(directory, dirs_to_look_in, files_to_search_for, \\n current_dir, see_files):\\n full_name = True\\n if see_files:\\n full_name = False\\n files_to_load = search_directory(directory, \\n look_in=dirs_to_look_in,\\n search_for=files_to_search_for,\\n file_type='files',\\n current_dir=current_dir,\\n full_name=full_name)\\n if not files_to_load:\\n raise UserWarning('No files were found matching the search for %s'\\\\\\n ' in the directory(s) %s%s' \\\\\\n % (files_to_search_for, directory, \\n dirs_to_look_in))\\n return files_to_load\",\n \"def findFiles(self):\\n\\n with open('analysis_result/firmwalkerOutput.txt', 'r') as firmwalker:\\n for line in firmwalker:\\n if line.startswith('##################################### ssh'):\\n self.ssh = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### dropbear'):\\n self.dropbear = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### busybox'):\\n self.busyBox = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### telnet'):\\n self.telnet = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### openssl'):\\n self.openssl = next(firmwalker).strip('d/').strip('\\\\n')\",\n \"def missing_in_gn_by_file(self):\\n return self._missing_gn_files\",\n \"def find_all_infilepaths(in_dir):\\n workdir = os.getcwd()\\n os.chdir(in_dir)\\n\\n infiles_paths = dict()\\n for infilename in glob.glob(\\\"[0-9]*_[0-9]*_[0-9]*.hdf5\\\"):\\n pos = infilename.split('_')\\n pos[-1] = pos[-1].split('.')[0]\\n pos = tuple(list(map(lambda s: int(s), pos)))\\n num_pos = _3d_to_numeric\\n infiles_paths[num_pos] = os.path.join(in_dir, infilename)\\n\\n os.chdir(workdir)\\n return infiles_paths\",\n \"def dataStats(reportsDir = \\\"./reports/\\\"):\\n legMulti = glob.glob(reportsDir+\\\"/leg/*.json\\\")\\n legOne = glob.glob(reportsDir+\\\"/leg/oneproc/*.json\\\")\\n legBroken = glob.glob(reportsDir+\\\"/leg/broken/*.json\\\")\\n \\n malMulti = glob.glob(reportsDir+\\\"/mal/*.json\\\")\\n malOne = glob.glob(reportsDir+\\\"/mal/oneproc/*.json\\\")\\n malBroken = glob.glob(reportsDir+\\\"/mal/broken/*.json\\\")\\n \\n print(\\\"\\\"\\\"Legal files:\\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \\\"\\\"\\\"\\n .format(len(legBroken+legMulti+legOne), len(legOne), len(legMulti), len(legBroken)))\\n print(\\\"\\\"\\\"Malicious files:\\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \\\"\\\"\\\"\\n .format(len(malBroken+malMulti+malOne), len(malOne), len(malMulti), len(malBroken)))\\n print(\\\"Working samples: {0}\\\".format(len(malMulti+malOne+legMulti+legOne)))\",\n \"def dirsize(self):\\n total = 0\\n for p in self.select_file(recursive=True):\\n try:\\n total += p.size\\n except: # pragma: no cover\\n print(\\\"Unable to get file size of: %s\\\" % p)\\n return total\",\n \"def list_sources(config, base_dir, verbose=False):\\n for source in config.sources_under(abspath(base_dir)):\\n if verbose:\\n print(\\\"# %s (%s)\\\" % (source.nicedir, ' '.join(source.info)))\\n else:\\n print(source.nicedir)\",\n \"def count_total_line():\\n count = 0\\n file_count = 0\\n for filename in os.listdir('.'):\\n if filename.endswith(\\\".json\\\"):\\n file_count += 1\\n with open(filename, 'r', encoding='utf8') as f:\\n for line in f:\\n count += 1\\n print(\\\"There are {0} lines in {1} json files\\\".format(count, file_count))\",\n \"def _local_dir(self):\\n return []\",\n \"def check_init_files_and_folders():\\n\\t#['cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', 'cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', 'color_detect_2.py', 'dedupe.py', 'detect_image_group_ku.py', 'detect_shape_5.py', 'get_cam_id_2.py', 'get_image_8.py', 'gui_hsv.py', 'knaps.py', 'knapsack_2.py', 'maps.html', 'program_detect_rectangle.zip', 'start_capture.py']\\n\\tfile_list=[\\n\\t#'cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', \\n\\t'models/cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', \\n\\t#'color_detect_2.py', \\n\\t#'dedupe.py', \\n\\t'detect_bus_haar_group.py', \\n\\t#'detect_shape_5.py', \\n\\t'get_cam_detail.py', \\n\\t'get_image.py', \\n\\t#'gui_hsv.py', \\n\\t#'knaps.py', \\n\\t#'knapsack_2.py', \\n\\t#'maps.html', \\n\\t#'program_detect_rectangle.zip', \\n\\t'start_wimb.py',\\n\\t'g.php',\\n\\t]\\n\\tdirectory_list=[\\n\\t'images',\\n\\t'images_bgs',\\n\\t'images_bgs_mask',\\n\\t#'images_bgs_result',\\n\\t'images_color',\\n\\t'images_haar',\\n\\t'images_haar_result',\\n\\t'images_number',\\n\\t'images_number_result',\\n\\t'models',\\n\\t'images_old',\\n\\t'text_number',\\n\\t]\\n\\t\\n\\tfor file_name in file_list: print 'file '+file_name+' existed: '+str(os.path.isfile(file_name))\\n\\tfor directory_name in directory_list: \\n\\t\\tprint 'directory '+directory_name+' existed: '+str(os.path.isdir(directory_name))\\n\\t\\tif not os.path.isdir(directory_name): \\n\\t\\t\\tos.makedirs(directory_name)\\n\\t\\tif \\\"images\\\" in directory_name: shutil.copy(path+'/g.php',path+'/'+directory_name+'/g.php')\",\n \"def get_num_samples(org_dir, file_names):\\n count = 0\\n # Loop through the files, which then loop through the trees\\n for filename in file_names:\\n # Skip files that are not .mrg\\n if not filename.endswith('.mrg'):\\n continue\\n # File is .mrg. Start processing\\n file_dir = os.path.join(org_dir, filename)\\n with open(file_dir, 'r', encoding='utf-8') as reader:\\n content = reader.readlines()\\n for _ in content:\\n count += 1\\n\\n return count\",\n \"def list_dir(self, path):\",\n \"def all_loci():\\n for fname in listdir(join(DATA_PATH, 'loci')):\\n try:\\n yield fetch_locus(fname)\\n except Exception as e:\\n print(f'{repr(e)} fetching {fname}')\",\n \"def _discover_in_dir(self, dir_path: str) -> Optional[str]:\\n for this_file in os.listdir(dir_path):\\n if this_file.endswith('.esvi'):\\n return os.path.join(dir_path, this_file)\\n\\n return None\",\n \"def _get_total_games(self) -> int:\\n files = get_tfr_filenames(self.config)\\n total_games = 0\\n for file in files:\\n total_games += int(str(file).split('-')[1].split('.')[0])\\n return total_games\",\n \"def find_vasp_calculations():\\n dir_list = [\\n \\\"./\\\" + re.sub(r\\\"vasprun\\\\.xml\\\", \\\"\\\", path)\\n for path in glob.iglob(\\\"**/vasprun.xml\\\", recursive=True)\\n ]\\n gz_dir_list = [\\n \\\"./\\\" + re.sub(r\\\"vasprun\\\\.xml\\\\.gz\\\", \\\"\\\", path)\\n for path in glob.iglob(\\\"**/vasprun.xml.gz\\\", recursive=True)\\n ]\\n return dir_list + gz_dir_list\",\n \"def n_file(self):\\n self.assert_is_dir_and_exists()\\n n = 0\\n for _ in self.select_file(recursive=True):\\n n += 1\\n return n\",\n \"def findMayaFiles(directory):\\n\\n pass\",\n \"def __calculate_current_row(self):\\n last_data_file = None\\n location = os.listdir(self.path)\\n #Remove non-data files from our list of dirs.\\n location = [element for element in location if 'data' in element]\\n #Sort as integers so we get them in the right order.\\n location = sorted(location, key=lambda x: int(x.split('.')[0].split('_')[1]), reverse = True)\\n for f in location:\\n if f[0:4] == 'data':\\n last_line = None\\n with open(self.path + '/' + f, 'r') as f:\\n for line in f:\\n if len(line) > 1:\\n last_line = line\\n if last_line:\\n return json.loads(line)['row_id']\\n\\n return 0\",\n \"def _rnlst(self, path, filelist):\\n path = self._cleanpath(path)\\n dirdict = self.parsedir(path)\\n print(dirdict)\\n \\n trycwds = dirdict.get('trycwds', [])\\n names = dirdict.get('names', [])\\n \\n for trycwd, name in zip(trycwds, names): \\n if trycwd: # name is a directory\\n self._rnlst(self.remotepathsep.join([path, name]), filelist)\\n else: \\n filelist.append(self.remotepathsep.join([path, name]))\\n \\n return filelist\",\n \"def find_all_files(self):\\n look4files = [ f for f in listdir(self.file_location) if isfile(join(self.file_location,f)) ]\\n return look4files\",\n \"def import_directory(self, directory):\\n files_list = sys_utils.get_files_from_directory(directory)\\n if files_list == None:\\n return None, 0\\n oids = []\\n num_new_files = 0\\n p = progress.progress(len(files_list))\\n for file_location in files_list:\\n oid, new_file = self.import_file(file_location)\\n p.tick()\\n if oid:\\n oids.append(oid)\\n if new_file:\\n num_new_files += 1\\n oids = list(set(oids)) # assert uniqueness \\n return oids, num_new_files\",\n \"def _get_files(self):\\n # pylint: disable=unused-variable\\n for dirpath, __, filenames in os.walk(self.start_location):\\n for file_ in filenames:\\n if file_.endswith('.py'):\\n yield \\\"{0}{1}\\\".format(dirpath, file_)\",\n \"def _get_base_files(self):\\n setup_file = path.join(self.PyCogentDirectory, 'setup.py')\\n #reqs_file = path.join(self.PyCogentDirectory, 'cogent-requirements.txt')\\n #return [(setup_file, 'Python'), (reqs_file, 'Properties')]\\n return [(setup_file, 'Python')]\",\n \"def get_nb_files(directory):\\r\\n if not os.path.exists(directory):\\r\\n return 0\\r\\n cnt = 0\\r\\n for r, dirs, files in os.walk(directory):\\r\\n for dr in dirs:\\r\\n cnt += len(glob.glob(os.path.join(r, dr + \\\"/*\\\"))) # glob模块是用来查找匹配文件的，后面接匹配规则。\\r\\n return cnt\",\n \"def file_stat(self, file_path):\",\n \"def main():\\n results = []\\n results.extend(check_mounts())\\n results.extend(diskusage())\\n return results\",\n \"def get_number_of_files(directory: str):\\n\\n number_of_files = len([item for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\\n print(number_of_files)\\n return number_of_files\",\n \"def getNFiles(self, config, base, logger=None):\\n if 'nfiles' in config:\\n return galsim.config.ParseValue(config, 'nfiles', base, int)[0]\\n else:\\n return 189\",\n \"def get_info(self):\\n if os.path.isfile(self.path):\\n total_size = os.path.getsize(self.path)\\n total_files = 1\\n elif os.path.exists(self.path):\\n total_size = 0\\n total_files = 0\\n for x in os.walk(self.path):\\n for fn in x[2]:\\n fpath = os.path.normpath(os.path.join(x[0], fn))\\n rel_path = os.path.relpath(fpath, self.path)\\n if any(fnmatch.fnmatch(rel_path, ext) for ext in self.exclude):\\n continue\\n fsize = os.path.getsize(fpath)\\n if fsize and not is_hidden_file(fpath):\\n total_size += fsize\\n total_files += 1\\n else:\\n raise exceptions.InvalidInputException\\n if not (total_files and total_size):\\n raise exceptions.EmptyInputException\\n if self.piece_size:\\n ps = self.piece_size\\n else:\\n ps = 1 << max(0, math.ceil(math.log(total_size / 1500, 2)))\\n if ps < MIN_PIECE_SIZE:\\n ps = MIN_PIECE_SIZE\\n if ps > MAX_PIECE_SIZE:\\n ps = MAX_PIECE_SIZE\\n return (total_size, total_files, ps, math.ceil(total_size / ps))\",\n \"def get_testing_data(self):\\n\\n print 'Loading testing data ', self.test_folder , '...'\\n test_text = []\\n cnt = 0\\n\\n for f in listdir(self.test_folder):\\n file_path = join(self.test_folder, f)\\n if isfile(file_path):\\n cnt += 1\\n if cnt % 10000 == 0:\\n print 'finished:', cnt # line counter\\n self.test_index.append(f[:-4])\\n with open(file_path, 'rb') as f:\\n test_text.append( f.read() )\\n\\n return test_text\",\n \"def summarize(path: str) -> dict:\\n results = parse_bactopia_directory(path)\",\n \"def perform_calculations():\\n # contains the result of the total repositories\\n result = [] \\n count_all_lines = 0 # mainatains the line that has been counted\\n for_loops_list = []\\n func_parameters = [] # function parameter checks list\\n no_of_variables = set() # a set containing variables\\n docs_comments = [] \\n single_line_comments = []\\n code_duplication = 0\\n repo_imports_set = set() # imports for the entire repo\\n current_repo = ''\\n for item in traverse_repos():\\n current_repo = item['repo_url']\\n for path in item['files']:\\n with open(path, 'r') as file_:\\n lines = file_.readlines()\\n # call code duplication\\n code_duplication += code_duplication_check(lines)\\n for line in lines:\\n if re.match(r'^#.+', line.strip()):\\n single_line_comments.append(line.strip())\\n # this makes it possible to campare later\\n # call find_repo_imports\\n line_import = find_repo_imports(line)\\n \\n repo_imports_set.add(line_import)\\n # call countlines of code function\\n count_all_lines += count_lines_of_code(line.strip())\\n # call find_for_loops\\n for_loops = find_for_loops(line)\\n if for_loops:\\n for_loops_list.append(for_loops)\\n function = avarage_parameters(line)\\n if function:\\n func_parameters.append(avarage_parameters(line))\\n no_of_variables.add(avarage_variables_per_line(line))\\n\\n with open(path, 'r') as content_file:\\n content = content_file.read()\\n docs_comments.extend(find_docstrings_and_comments(content, single_line_comments))\\n \\n \\n\\n external_packages = find_external_packages(repo_imports_set)\\n repo_lines_of_codes = count_all_lines - len(docs_comments)\\n avarage_variables_repo = (len(no_of_variables)-1) / repo_lines_of_codes\\n nesting = nesting_depth(for_loops_list) / len(for_loops_list)\\n avarage_params = sum(func_parameters) / len(func_parameters)\\n repo_result = {\\n 'repository_url': current_repo, \\n 'number of lines': repo_lines_of_codes, \\n 'libraries': external_packages,\\n 'nesting factor': nesting,\\n 'code duplication': code_duplication,\\n 'average parameters': avarage_params,\\n 'average variables': avarage_variables_repo\\n \\n }\\n result.append(repo_result)\\n\\n return result\",\n \"def read_file_names(self):\\n files_BIDMC = os.listdir(self.root_dir_BIDMC)\\n masks_BIDMC = os.listdir(self.seg_dir_BIDMC)\\n files_HK = os.listdir(self.root_dir_HK)\\n masks_HK = os.listdir(self.seg_dir_HK)\\n files_I2CVB = os.listdir(self.root_dir_I2CVB)\\n masks_I2CVB = os.listdir(self.seg_dir_I2CVB)\\n files_ISBI = os.listdir(self.root_dir_ISBI)\\n masks_ISBI = os.listdir(self.seg_dir_ISBI)\\n files_ISBI_15 = os.listdir(self.root_dir_ISBI_15)\\n masks_ISBI_15 = os.listdir(self.seg_dir_ISBI_15)\\n files_UCL = os.listdir(self.root_dir_UCL)\\n masks_UCL = os.listdir(self.seg_dir_UCL)\\n site_files = [files_BIDMC, files_HK, files_I2CVB, files_ISBI, files_ISBI_15, files_UCL]\\n site_masks = [masks_BIDMC, masks_HK, masks_I2CVB, masks_ISBI, masks_ISBI_15, masks_UCL]\\n return site_files, site_masks\",\n \"def lookup_ifproc_file(obsnum, path='/data_lmt/ifproc/', debug=False):\\n paths = [path]\\n\\n if 'ifproc' not in path:\\n paths += ['/data_lmt/ifproc/']\\n if 'lmtttpm' not in path:\\n paths += ['/data_lmt/lmttpm/']\\n if 'tel' not in path:\\n paths += ['/data_lmt/tel/']\\n\\n if debug:\\n print(paths)\\n\\n for path in paths:\\n filenames = glob.glob(os.path.join(path, '*_%06d_*.nc' % obsnum))\\n if len(filenames) > 0:\\n if debug:\\n print('found %s' % (filenames[0]))\\n return filenames[0]\\n return ''\\n #filename = ''\\n #for file in os.listdir(path):\\n # if fnmatch.fnmatch(file,'*_%06d_*.nc'%(obsnum)):\\n # print('found %s'%(file))\\n # filename = path+file\\n #if filename == '':\\n #print('lookup_ifproc_file: no file for obsnum ', obsnum)\\n #if 'lmttpm' not in path:\\n # print('look in lmttpm')\\n # return lookup_ifproc_file(obsnum,path='/data_lmt/lmttpm/')\\n #return(filename)\",\n \"def compute_code():\\n for file in os.listdir('./src/Templates'):\\n input.parse_template('./src/Templates/' + file, './student/' + file + '.py')\\n data = input.load_input()\\n return len([k for k in data['input'].keys() if '@' not in k])\",\n \"def calculate(d):\\r\\n\\r\\n # Set correct slashes for the OS\\r\\n if sys.platform == 'windows':\\r\\n slash = '\\\\\\\\'\\r\\n elif sys.platform == 'linux':\\r\\n slash = '/'\\r\\n else:\\r\\n print('#Error. Unknown platform.')\\r\\n return\\r\\n\\r\\n print('Files in the current directory and their md5-hashes:\\\\n')\\r\\n i = 0\\r\\n assert i == 0, '#Error. Variable i != 0.'\\r\\n\\r\\n for i in range(len(d[2])): # Go through the list of files\\r\\n full_path = d[0]+slash+d[2][i]\\r\\n print(full_path) # Get the list of files with full paths\\r\\n print(md5(full_path))\\r\\n size(full_path)\",\n \"def find_data(self):\\n data_list = []\\n for root, dirs, files in os.walk(pathfinder.data_path()):\\n for name in files:\\n data_list.append(os.path.join(root, name))\\n return data_list\",\n \"def count_files_dir(self,full_path):\\n try:\\n num_files = len([name for name in os.listdir(full_path) if os.path.isfile(self.FILENAME)])\\n print(f\\\"Number of files in {full_path} is {num_files}\\\")\\n return num_files\\n except Exception as e:\\n raise SystemExit(f\\\"Could not complete operation: {e}\\\")\",\n \"def read_inputs(self):\\n curdir = os.getcwd()\\n os.chdir(self.fst_dir)\\n rstat = self.readFST()\\n if rstat == 0:\\n os.chdir(curdir)\\n return 0\\n # the names of the next files are either set by caller or come from the reading the FAST file\\n rstat = self.readNoise()\\n rstat = self.readAD()\\n rstat = self.readBlade()\\n rstat = self.readPtfm()\\n os.chdir(curdir)\",\n \"def getAllVCFs(inputFolder):\\n listOfFiles = []\\n numErrors = 0\\n for folder in os.listdir(inputFolder): #Loop through all folders\\n # print(folder)\\n try: # using a try-xcept block to avoid errors with other files \\n # not following this structure\\n # TODO: make this cleaner\\n vcfLoc = os.path.join(inputFolder, os.path.join(folder, \\\"pilon/\\\"))\\n # print(vcfLoc)\\n for potentialFile in os.listdir(vcfLoc):\\n # print(potentialFile)\\n if(potentialFile.endswith(\\\".vcf.gz\\\")):\\n listOfFiles.append(os.path.join(vcfLoc, potentialFile))\\n except:\\n # print(\\\"error at \\\" + folder)\\n numErrors += 1\\n print(numErrors)\\n return listOfFiles\",\n \"def _checkpoint_numbers(cls, checkpoints_dir):\\n dirs = [d for d in listdir(checkpoints_dir) if d.endswith('.checkpoint')]\\n return sorted([int(d[:-11]) for d in dirs])\",\n \"def get_amount_by_file(path):\\n if os.stat(path).st_size == 0:\\n raise Exception\\n with open(path, 'r') as file:\\n items = file.read().split(',')\\n total = reduce(lambda x, y: int(x) + int(y), items)\\n return total\",\n \"def readNSRelaxFiles(folder_path):\\n\\n run_arr = []\\n Nrun_arr = []\\n dod_arr = []\\n crate_arr = []\\n count=0\\n\\n # find number of files that starts with run\\n # (this is the data file we want to read)\\n for file in os.listdir(folder_path):\\n if file.startswith(\\\"relaxrun\\\"):\\n count+=1\\n\\n # order the data files by run number, so we get descending crates\\n Nrun=1\\n for i in range(count+5):\\n for file in os.listdir(folder_path):\\n if file.startswith(\\\"relaxrun_\\\"+str(Nrun)+\\\"_\\\"):\\n run_arr.append(file)\\n dod = re.search('dod=(.*).txt', file).group(1)\\n crate = re.search('Crate=(.*)_',file).group(1)\\n Nrun_arr.append(np.round(int(Nrun),decimals=0))\\n dod_arr.append(float(dod))\\n crate_arr.append(float(crate))\\n Nrun+=1\\n print(len(run_arr))\\n\\n return run_arr, Nrun_arr, dod_arr, crate_arr\",\n \"def _determine_local_import_names(start_dir):\\n file_ext_pairs = [os.path.splitext(path) for path in os.listdir(start_dir)]\\n return [\\n basename\\n for basename, extension\\n in file_ext_pairs\\n if extension == '.py' or os.path.isdir(\\n os.path.join(start_dir, basename))\\n and basename not in ('__pycache__')]\",\n \"def get_results_labels(dir_path):\\n dx = 0\\n directories = [dI for dI in os.listdir(dir_path)\\n if os.path.isdir(os.path.join(dir_path, dI))]\\n results = []\\n\\n for directory in directories:\\n # collect the path to all results files\\n path = os.path.join(dir_path, directory)\\n files = [os.path.join(path, f) for f in os.listdir(path)\\n if os.path.isfile(os.path.join(path, f))\\n and 'results' in f]\\n\\n # if the directory does not have results files, move on to the next\\n if len(files) == 0:\\n continue\\n\\n # collect the average cumulative returns per training iteration\\n res = []\\n lengths = []\\n for i, f in enumerate(files):\\n data = pd.read_csv(f)\\n if i == 0:\\n dx = data['total/steps'][2] - data['total/steps'][1]\\n res.append(data['rollout/return_history'])\\n lengths.append(len(data['rollout/return_history']))\\n\\n res = [[r[:min(lengths)]] for r in res]\\n results.append(np.concatenate(res, axis=0))\\n\\n return results, directories, dx\",\n \"def get_python_files(all_files=None):\\n if all_files is None:\\n all_files = ci_diff_helper.get_checked_in_files()\\n\\n production_files = []\\n test_files = []\\n for filename in all_files:\\n if not valid_filename(filename):\\n continue\\n if is_test_filename(filename):\\n test_files.append(filename)\\n else:\\n production_files.append(filename)\\n\\n return production_files, test_files\",\n \"def reportinfo(self):\\n return super().reportinfo()[:2] + (self.fspath.relto(os.getcwd()),)\",\n \"def count_dirs_and_files(directory='.'):\\n pass\",\n \"def ttl_files_in_dir(dir_path, pat='.'):\\n if not path.isdir(dir_path):\\n raise NotADirectoryError\\n\\n # In a subprocess, count list the files in the dir and count them, convert output to an int\\n ttl = int(check_output('ls -A -U --color=never {} | grep {} | wc -l'.format(dir_path, pat), shell=True).strip())\\n\\n return ttl\",\n \"def count(train_dir):\\r\\n path = train_dir\\r\\n count = 0\\r\\n for fn in os.listdir(path): #fn 表示的是文件名\\r\\n count = count + 1\\r\\n return count\",\n \"def _gather_path(self, comp, path, function_map):\\n print(f'\\\"Analyzing {comp} at {path}')\\n if not os.path.exists(path):\\n print('No files in {path}')\\n return\\n\\n for root, _dirs, files in os.walk(path):\\n if self.excluded(root):\\n continue\\n if not self.included(root, self.dir_inclusions):\\n continue\\n for fname in files:\\n if not self.included(fname, self.file_inclusions):\\n continue\\n if fname.endswith(\\\".su\\\"):\\n with open(os.path.join(root, fname), \\\"r\\\") as frame:\\n for line in frame.readlines():\\n split = line.split()\\n if len(split) < 3:\\n continue\\n func = f\\\"{comp}:{split[0]}\\\"\\n usage = int(split[-2])\\n if usage < self.cutoff:\\n continue\\n if func not in function_map:\\n function_map[func] = usage\\n elif usage > function_map[func]:\\n function_map[func] = usage\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.63941246","0.6148792","0.5896523","0.5792946","0.56846035","0.5674842","0.56738776","0.56557024","0.5595728","0.55465335","0.55265635","0.5509024","0.5490125","0.54562646","0.53724253","0.53600603","0.53305817","0.5296591","0.52905095","0.52354455","0.52294916","0.52220196","0.5198103","0.5195978","0.5186539","0.51656497","0.5163649","0.51358575","0.5120946","0.51164967","0.51098484","0.51092833","0.50853574","0.5083181","0.5081521","0.5078778","0.5077839","0.50759494","0.50725037","0.5071149","0.50593597","0.50585854","0.5058144","0.50517154","0.5050045","0.504794","0.50477606","0.5043572","0.50417614","0.5040509","0.503812","0.50328654","0.5029637","0.50265723","0.5007045","0.50036335","0.5002633","0.49971974","0.49948022","0.4990057","0.4989779","0.49896127","0.49869934","0.49868932","0.4984892","0.49808612","0.49776876","0.4973755","0.49726373","0.49718317","0.4969438","0.49547297","0.49531397","0.494195","0.49412704","0.4932267","0.49320176","0.49248803","0.4924772","0.49236137","0.49229372","0.492181","0.49179047","0.49156964","0.49108875","0.4906544","0.49041307","0.49031678","0.48896712","0.48881805","0.4885496","0.48829335","0.48813263","0.48789862","0.48754758","0.4871829","0.4867939","0.48621118","0.48555622","0.4850242"],"string":"[\n \"0.63941246\",\n \"0.6148792\",\n \"0.5896523\",\n \"0.5792946\",\n \"0.56846035\",\n \"0.5674842\",\n \"0.56738776\",\n \"0.56557024\",\n \"0.5595728\",\n \"0.55465335\",\n \"0.55265635\",\n \"0.5509024\",\n \"0.5490125\",\n \"0.54562646\",\n \"0.53724253\",\n \"0.53600603\",\n \"0.53305817\",\n \"0.5296591\",\n \"0.52905095\",\n \"0.52354455\",\n \"0.52294916\",\n \"0.52220196\",\n \"0.5198103\",\n \"0.5195978\",\n \"0.5186539\",\n \"0.51656497\",\n \"0.5163649\",\n \"0.51358575\",\n \"0.5120946\",\n \"0.51164967\",\n \"0.51098484\",\n \"0.51092833\",\n \"0.50853574\",\n \"0.5083181\",\n \"0.5081521\",\n \"0.5078778\",\n \"0.5077839\",\n \"0.50759494\",\n \"0.50725037\",\n \"0.5071149\",\n \"0.50593597\",\n \"0.50585854\",\n \"0.5058144\",\n \"0.50517154\",\n \"0.5050045\",\n \"0.504794\",\n \"0.50477606\",\n \"0.5043572\",\n \"0.50417614\",\n \"0.5040509\",\n \"0.503812\",\n \"0.50328654\",\n \"0.5029637\",\n \"0.50265723\",\n \"0.5007045\",\n \"0.50036335\",\n \"0.5002633\",\n \"0.49971974\",\n \"0.49948022\",\n \"0.4990057\",\n \"0.4989779\",\n \"0.49896127\",\n \"0.49869934\",\n \"0.49868932\",\n \"0.4984892\",\n \"0.49808612\",\n \"0.49776876\",\n \"0.4973755\",\n \"0.49726373\",\n \"0.49718317\",\n \"0.4969438\",\n \"0.49547297\",\n \"0.49531397\",\n \"0.494195\",\n \"0.49412704\",\n \"0.4932267\",\n \"0.49320176\",\n \"0.49248803\",\n \"0.4924772\",\n \"0.49236137\",\n \"0.49229372\",\n \"0.492181\",\n \"0.49179047\",\n \"0.49156964\",\n \"0.49108875\",\n \"0.4906544\",\n \"0.49041307\",\n \"0.49031678\",\n \"0.48896712\",\n \"0.48881805\",\n \"0.4885496\",\n \"0.48829335\",\n \"0.48813263\",\n \"0.48789862\",\n \"0.48754758\",\n \"0.4871829\",\n \"0.4867939\",\n \"0.48621118\",\n \"0.48555622\",\n \"0.4850242\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6992177"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":4782,"cells":{"query":{"kind":"string","value":"Returns the total, nonblank and net loc for all the python files in a directory"},"document":{"kind":"string","value":"def get_num_unique_programs_and_users(path, scenarios):\n unique_programs = set()\n valid_u_ids = set()\n for scenario in scenarios:\n valid_u_ids.add(scenario[0][\"UniqueId\"])\n\n for filename in glob.iglob(path + 'PythonTutor_Input_Data_Sessions_20*/**/*.py', recursive=True):\n print(filename)\n x = filename[filename.rfind('/') + 1:filename.rfind('_')]\n if x not in valid_u_ids: continue\n with open(filename, 'r') as thisfile:\n blob = thisfile.read()\n unique_programs.add(blob)\n\n valid_ips = set()\n not_valid_ips = set()\n count = 0\n for filename in glob.iglob(path + 'PythonTutor_Input_Data_Sessions_20*/**/*.json', recursive=True):\n x = filename[filename.rfind('/') + 1:filename.rfind('_a')]\n if x not in valid_u_ids: continue\n with open(filename, 'r') as thisfile:\n blob = json.load(thisfile)\n if blob[\"ip\"] in not_valid_ips:\n pass\n elif blob[\"ip\"] in valid_ips:\n valid_ips.remove(blob[\"ip\"])\n count += 1\n not_valid_ips.add(blob[\"ip\"])\n else:\n valid_ips.add(blob[\"ip\"])\n \n print(count)\n print(len(valid_ips))\n return unique_programs"},"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 get_folder_total(path):\n files = os.listdir(path)\n pythonfiles = ['%s/%s' % (path, filename) for filename in files if filename[-3:] == '.py']\n total = { 'net': 0, 'total': 0, 'nonblank': 0, 'num_inputs':0 }\n for filename in pythonfiles:\n with open(filename, 'r') as thisfile:\n blob = thisfile.read()\n # print filename\n thisloc = loc(blob)\n for k, v in thisloc.items():\n total[k] += v\n return total","def loc():\n file_types = (\n ['Python', 'py', '#']\n )\n\n click.echo('Lines of code\\n-------------')\n\n click.echo(\"{0}: {1}\".format(file_types[0], count_locs(file_types[1],\n file_types[2])))\n\n return None","def analyze_files(self):\n for file in os.listdir(self.directory):\n if file[-3:] == (\".py\"):\n fopen = open(os.path.join(self.directory, file), \"r\")\n try:\n if not (py_file := fopen):\n raise FileNotFoundError\n\n with py_file: # close file after opening\n class_count: int = 0\n fun_count: int = 0\n l_count: int = 0\n ch_count: int = 0\n for line in py_file: # calculate values for the file\n if line.strip().startswith(\"class \"):\n class_count = class_count+1\n elif line.strip().startswith(\"def \"):\n fun_count = fun_count+1\n\n l_count = l_count+1\n ch_count = ch_count+len(line)\n\n self.files_summary[str(os.path.join(self.directory, file))] = {\"class\": class_count, \"function\": fun_count, \"line\": l_count,\n \"char\": ch_count}\n except FileNotFoundError:\n print(f\"File {py_file} is not found or can not be opened\")\n fopen.close()","def checkSum():\n val = 0\n for ext in EXTENSION_GLOBS:\n for f in glob.glob (ext):\n stats = os.stat(f)\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\n return val","def fileCounter(directory):","def getFileLoc(self):\n\t\trval = []\n\t\tlocalVolTbl = self.file_loc['localVolTbl']\n\t\tnetVolTbl = self.file_loc['netVolTbl']\n\t\t\n\t\tif localVolTbl != None:\n\t\t\trval.extend((FILE_LOC[0],\n\t\t\t\tFILE_LOC[1] + self.file_loc['basePathname'] + \\\n\t\t\t\t\"\\\\\" + self.file_loc['remainPathname']))\n\t\n\t\t\tfor ii in range(len(VOL_TYPE)):\n\t\t\t\tif (self.header['file_attributes'] & (2 ** (ii + 1))) > 0:\n\t\t\t\t\trval.append(VOL_TYPE[ii])\n\t\t\t\t\n\t\t\trval.extend((FILE_LOC[2] + localVolTbl['volume_label'],\n\t\t\t\tFILE_LOC[3] + str(localVolTbl['vol_serial_num'])))\t\t\n\t\n\t\tif netVolTbl != None:\n\t\t\trval.append(FILE_LOC[4] + netVolTbl['net_sharename'] + \\\n\t\t\t\t\"\\\\\" + self.file_loc['remainPathname'])\n\t\treturn rval","def check_dir(self):\n if not Path(self.src_dir).exists():\n print('No such directory found:', self.src_dir)\n return\n\n nc_all = self.src_dir + \"/*.nc*\"\n if len(glob.glob(nc_all)) == 0:\n print('No NetCDF files found in:', self.src_dir)\n return\n\n return nc_all","def analyze_files(self):\n num_file = 0\n results = dict()\n try:\n list_files = os.listdir(self.directory)\n except FileNotFoundError:\n raise FileNotFoundError(\"Can't find any file\")\n else:\n for file in list_files: #looping the files in the directly\n num_file += 1\n if file.endswith(\".py\"): # Looking for files that end with .py\n try:\n fp = open(os.path.join(self.directory, file), \"r\")\n except FileNotFoundError:\n raise FileNotFoundError(f\"Can't open file no {num_file}\")\n else:\n with fp:\n c_total = 0 #Total length of Characters for the entire file\n filename = file # Storing the file name\n t_line = 0 # Getting the total number of line\n t_def = 0 #Getting the total number of functions\n t_class = 0 #Getting the total number of classes\n \n for line in fp:\n t_line += 1 # Counting each line\n t_char = len(line) #Length of characters for each line\n n_line = line.strip() # gets rid of white spaces and new lines\n c_total += t_char # adding each total char in line to the pervious total char in line\n if n_line.startswith(\"def \"): \n t_def += 1 \n elif n_line.startswith(\"class \"):\n t_class += 1\n results[filename] = {'class': t_class, 'function': t_def, 'line': t_line, 'char': c_total }\n return results","def test_case_6():\n print(\"*********Test_case_6***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir', 't1.c')\n result = find_files('.c', path)\n print(result)","def test_case_5():\n print(\"*********Test_case_5***********\")\n result = find_files('.c', \"\")\n print(result)","def execute(root_dir):\n \n \n #Getting all the file recursively that py files\n lenght=[]\n libraries=[]\n nesting_factors=[]\n param_count=[]\n total_var=[]\n duplicate_for_the_repo=[]\n average_nesting_factor=0\n average_param=0\n code_duplication=0\n avg_var=0\n \n k=root_dir.rsplit('-')\n n=k[0]\n m=k[-1]\n \n urls=[ repo for repo in repo_list if n and m in repo ]\n if urls:\n url=urls[0]\n else:\n url=root_dir\n\n for filename in glob.iglob(root_dir + '/**/*.py', recursive=True):\n #filename=filename.replace(\" \", \"\\\\ \")\n filename=str_to_raw(filename)\n try: \n count=pygount.source_analysis(filename, 'pygount') # counting the line of codes for the py files\n l=count.code\n lenght.append(l)\n library =imported_module(filename)\n for lib in library:\n libraries.append(lib)\n deg_list=nesting_factor(for_loop_position(filename)) \n for deg in deg_list:\n nesting_factors.append(deg)\n\n\n\n for param in parameter_count(filename):\n param_count.append(param)\n for var in variable_count(filename):\n total_var.append(var)\n duplicate_for_the_repo.append(duplicated_line(filename))\n except Exception as e:\n print(\"type error: \" + str(e))\n print(filename)\n \n \n if len(nesting_factors) !=0: \n average_nesting_factor= np.mean(nesting_factors)\n if param_count: \n average_param= np.mean(param_count) \n libraries=unique(libraries)\n repo_count=sum(lenght)\n if total_var:\n avg_var=np.mean(total_var)\n if repo_count and duplicate_for_the_repo:\n code_duplication=(sum(duplicate_for_the_repo)/repo_count)*100\n \n return {'repository_url': url, \n 'number of lines': repo_count, \n 'libraries': libraries,\n 'nesting factor': average_nesting_factor,\n 'code duplication': code_duplication,\n 'average parameters':average_param,\n 'average variables':avg_var}","def _get_run_info(self, path, creation_date):\n total = 0\n try:\n for entry in os.scandir(path):\n # Only evaluates size of files and not folders inside raw/proc\n if entry.is_file():\n # if it's a file, use stat() function\n total += entry.stat().st_size\n\n except NotADirectoryError:\n # if `path` isn't a directory, get the file size then\n total = os.path.getsize(path)\n except PermissionError:\n # if for whatever reason we can't open the folder, return 0\n return 0\n\n if os.path.isdir(path):\n validator = RunValidator(path)\n elif path.endswith(\".h5\"):\n validator = FileValidator(H5File(path).files[0])\n else:\n return 0\n\n try:\n validator.run_checks()\n except Exception:\n pass\n return total, str(ValidationError(validator.problems))","def test_case_3():\n print(\"*********Test_case_3***********\")\n result = find_files('.c', None)\n print(result)","def count_LOC(path):\n re_empty = re.compile(r\"[\\s]*(#|\\n|\\\"\\\"\\\")\")\n re_for = re.compile(r\"for.*in\")\n re_lambda = re.compile(r\"lambda\")\n re_if = re.compile(r\"if.*:\")\n re_def = re.compile(r\"def (?P<fname>\\w+)\\(\")\n\n total_LOC, indent_level = 0, 0\n cur_part = None\n parts = defaultdict(int)\n\n with open(path, 'r') as _file:\n for line in filter(lambda l : not re_empty.match(l), _file):\n\n extra = len( re_for.findall(line) ) - 1 + len( re_lambda.findall(line) ) - 1 + len( re_if.findall(line) ) -1\n\n if extra < 0: extra = 0\n\n total_LOC += 1 + extra\n if cur_part:\n parts[cur_part] += 1 + extra\n\n defs = re_def.search(line)\n if defs:\n cur_part = defs.groupdict()['fname']\n indent_level = first_non_whitespace(line)\n\n cur_indent = first_non_whitespace(line)\n if cur_indent < indent_level:\n cur_part = None\n indent_level = cur_indent\n\n return(total_LOC, parts)","def getBaseSrcFile(self) -> List[int]:\n ...","def checkSumHelper(arg, dirname, fnames):\n val = 0\n files = [name for name in fnames if os.path.splitext(name)[1] in EXTENSIONS]\n for file in files:\n absFile = os.path.join(dirname,file)\n try:\n stats = os.stat(absFile)\n except OSError,e:\n # This is to skip over temporary files or files\n # nosy doesn't have permission to access\n # print \"Nosy: skipping file %s with error %s\"%(absFile,e)\n continue\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\n arg.append(val)\n return","def test_case_1():\n print(\"*********Test_case_1***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir')\n result = find_files('.c', path)\n for file in result:\n print(file)","def test_case_4():\n print(\"*********Test_case_4***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir')\n result = find_files('', path)\n for file in result:\n print(file)","def print_local_output_files_stats():\n print \"\\n\\nFILES CREATED:\"\n for filename in os.listdir('../output'):\n filesize = os.path.getsize('../output/' + filename)\n print str(filesize) + \"\\t\" + filename\n print \"\\n\"","def get_amount_of_data(directory: str):\n size = sum([os.path.getsize(os.path.join(directory, item)) for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\n print(size)\n return size","def readfiles(self, dirname , search , notsearch = 'rgvar' , notdir = 'xyvwa'):\n print('We are in the following directory: %s looking for files that contain %s and not %s' %(dirname, search , notsearch))\n dirlist = os.listdir(dirname)\n for filep in dirlist:\n filep = os.path.join(dirname,filep) \n if os.path.islink(filep):\n pass\n elif os.path.isdir(filep):\n m = re.search(notdir , filep)\n if m is None:\n self.readfiles(filep , search, notsearch = notsearch, notdir = notdir )\n elif os.path.isfile(filep) and '.dat' in filep: \n nm = re.search(notsearch, filep)\n m = re.search(search , filep)\n #print m , nm\n if m is not None and nm is None:\n self.plotfiles.append(filep)\n else:\n pass","def my_root_listdir(root_dir):\n root_listdir = [\n images_dir\n for images_dir in os.listdir(root_dir)\n if not any(\n characters in images_dir for characters in [\".\", \"test\", \"train\", \"valid\"]\n )\n ]\n summ = 0\n for images_dir in root_listdir:\n summ += len(os.listdir(root_dir + \"/\" + images_dir)) / 2 - 2\n print(\"Sum of images in directories: \", int(summ))\n return root_listdir","def retrive_scanning_scheme(self, Nest_data_directory, file_keyword = 'PMT_0Zmax'):\r\n fileNameList = []\r\n# ImgSequenceNum = 0\r\n for file in os.listdir(Nest_data_directory):\r\n if file_keyword in file:\r\n fileNameList.append(file)\r\n \r\n RoundNumberList = []\r\n CoordinatesList = []\r\n for eachfilename in fileNameList:\r\n # Get how many rounds are there\r\n try:\r\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Grid')])\r\n except:\r\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Coord')])\r\n \r\n RoundNumberList = list(dict.fromkeys(RoundNumberList)) # Remove Duplicates\r\n \r\n CoordinatesList.append(eachfilename[eachfilename.index('Coord'):eachfilename.index('_PMT')])\r\n CoordinatesList = list(dict.fromkeys(CoordinatesList))\r\n \r\n# print(RoundNumberList, CoordinatesList, fileNameList)\r\n return RoundNumberList, CoordinatesList, fileNameList","def add_loc(self):\n self.loc = 0\n for t in self.thys:\n with open(t, 'r') as f:\n for l in f:\n if l.strip():\n self.loc += 1","def process_files(file_location, day):\n # construct file path\n file_dir = PREFIX+file_location\n file_pattern = file_dir+'lz_'+day+'*_raw.root'\n # print(file_pattern)\n file_list = glob.glob(file_pattern)\n print(\"There are %s MC files in the requested directory (%s).\" %(len(file_list), file_dir))\n file_names = []\n for f in file_list:\n file_name_only = f.split('/')\n file_names.append(file_name_only[-1])\n return file_names","def scan(self,project_dir):\n ftypes = [\".csv\", \".data\", \".xlsx\"]\n print(\"Scanning directory : \",project_dir)\n print(\"Searching for : \",ftypes)\n self.localfiles = {}\n for dirpath, dirnames, filenames in os.walk(project_dir, topdown=True):\n for filename in filenames:\n for ftype in ftypes:\n if ftype in filename:\n self.localfiles[filename] = {\n \"filename\": filename,\n \"filesize\": getsize(os.path.join(dirpath, filename)),\n \"abspath\": os.path.join(dirpath, filename),\n \"dirpath\": dirpath,\n \n }\n print(\"Found These: \",[file_name for file_name in self.localfiles.keys()])","def getFilePaths():\n \n image_dir = r'/hpc/wfok007/mpi_heart/Training Set'\n mask_paths = []\n image_paths = []\n for root, dirs, files in os.walk(image_dir, topdown=False):\n for name in files:\n if name == 'laendo.nrrd':\n mask_paths.append(os.path.join(root, name))\n elif name == 'lgemri.nrrd':\n image_paths.append(os.path.join(root, name))\n else:\n print ('%s is unknown' %name)\n return mask_paths, image_paths","def total_files(self):\n command = \"SELECT searched FROM options;\"\n return self.c.execute(command)","def get_checkpoint():\n\timport numpy as np\n\n\tcheckpoint = []\n\tfor directory in directories:\n\t\ttry: # try to find folder\n\t\t\tos.chdir('./'+directory)\n\t\texcept:\n\t\t\tcontinue\n\t\tcontents = os.listdir('./')\n\t\tif contents == []: # if folder is empty\n\t\t\tprint(\"No data for\", directory)\n\t\t\tos.chdir('..')\n\t\t\tcontinue\n\t\tcounter = []\n\t\tfor entry in contents:\n\t\t\tentry = entry.split('.')\n\t\t\tnum = entry[0][2:]\n\t\t\ttry: # excludes files that aren't of type x-y.jpg\n\t\t\t\tnum = int(num)\n\t\t\t\tcounter.append(num)\n\t\t\texcept:\n\t\t\t\tcontinue\n\t\tcheckpoint.append(max(counter))\n\t\tos.chdir('..')\n\tcheckpoint = np.mean(checkpoint)\n\treturn checkpoint","def target_totalfiles(self):\n return self._cfg.get('totalfiles', None)","def test_case_2():\n print(\"*********Test_case_2***********\")\n path = os.path.join(os.path.dirname(__file__), 'testdir')\n result = find_files(None, path)\n print(result)","def fs_files_total(self):\n return self._fs_files_total","def scanFiles(directory, includes = [\"*\"], excludes = []):\n\treturn scanAll(directory, includes, excludes)[1]","def test_search_file(self):\n base_dir = join(get_current_path(), 'samples', 'base_dir1')\n output_dir = join(get_current_path(), 'samples', 'base_dir1', 'result')\n files = search_files(base_dir, output_dir)\n self.assertTrue(self.verify_sub_folders(list(files.keys())))\n\n # sub folders under Concord is not counted, only files\n self.assertEqual(len(files['Concord']), 5)\n self.assertEqual(len(files['ListCo Equity']), 1)\n self.assertEqual(len(files['CLO Equity']), 2)\n self.assertEqual(files['ListCo Equity'][0], join(base_dir, 'ListCo Equity', 'Positions1219.xlsx'))","def gather_counts(directory):\n counts_un = defaultdict(int)\n counts_bi = defaultdict(int)\n counts_tri = defaultdict(int)\n prev_prev = \"<s>\"\n prev = \"<s>\"\n for filename in os.listdir(f\"./{directory}\"):\n if \".DS_Store\" in filename:\n continue\n with open(f\"./{directory}/{filename}\", \"r\") as f:\n for line in f:\n line = line.strip()\n if len(line) == 0:\n continue\n counts_un[line+\"\\n\"] += 1\n counts_bi[prev+\"\\n\"+line+\"\\n\"] += 1\n counts_tri[prev_prev+\"\\n\"+prev+\"\\n\"+line+\"\\n\"] += 1\n prev_prev = prev\n prev = line\n counts_un[\"</s>\\n\"] += 2\n counts_bi[\"</s>\\n</s>\\n\"] += 1\n counts_bi[prev+\"\\n\"+\"</s>\\n\"] += 1\n counts_tri[prev_prev+\"\\n\"+prev+\"\\n\" + \"</s>\\n\"] += 1\n counts_tri[prev+\"\\n</s>\\n</s>\\n\"] += 1\n return counts_un, counts_bi, counts_tri","def get_all_metrics(dir):\r\n file_lst = os.listdir(dir)\r\n file_lst = list(filter(lambda x: re.findall(r'\\.csv$',x), file_lst))\r\n return file_lst","def current_missing(**kwargs) -> int:\n data_path = os.environ.get(BBG_ROOT, '').replace('\\\\', '/')\n if not data_path: return 0\n return len(files.all_files(f'{data_path}/Logs/{missing_info(**kwargs)}'))","def getNtot(self,dir):\n return int(readfile(dir + '/struct_enum.out')[-1].split()[0])","def test_known_file_locations(dataset: linux.LinuxSourcesDataset):\n assert (dataset.src_tree_root / \"kernel\" / \"kexec.c\").is_file()\n assert (dataset.src_tree_root / \"kernel\" / \"smpboot.h\").is_file()","def usagestats_parse(dirpath):\r\n # Create database\r\n # TODO: change to an easier format, probably json.\r\n db, cursor = create_table()\r\n\r\n # Some vars for logging\r\n processed = 0\r\n err = 0\r\n\r\n # Iterate through the /usagestats/ directory and fetch all files\r\n for root, dirnames, filenames in os.walk(dirpath, topdown=True, onerror=None, followlinks=False):\r\n if 'daily' in root or 'weekly' in root or 'monthly' in root or 'yearly' in root:\r\n # Retrieve the folder name to save what the frequency of the usagestats were:\r\n frequency = root.split('/')[-1]\r\n for filename in filenames:\r\n # Check if filename is only numbers (which is an epoch time representation)\r\n if filename.isnumeric():\r\n try:\r\n tree = ET.parse(os.path.join(root, filename))\r\n except ET.ParseError:\r\n parse_file_with_protobuf(os.path.join(root, filename), db)\r\n continue\r\n\r\n # We have sucessfully parsed the usagestats xml.\r\n # So continue processing\r\n tree_root = tree.getroot()\r\n\r\n for elem in tree_root:\r\n parse_sub_elements(frequency, elem, filename, db)\r\n\r\n # query for reporting\r\n cursor.execute('''\r\n select \r\n usage_type,\r\n datetime(lastime/1000, 'UNIXEPOCH', 'localtime') as lasttimeactive,\r\n timeactive as time_Active_in_msecs,\r\n timeactive/1000 as timeactive_in_secs,\r\n case last_time_service_used WHEN '' THEN ''\r\n ELSE datetime(last_time_service_used/1000, 'UNIXEPOCH', 'localtime')\r\n end last_time_service_used,\r\n case last_time_visible WHEN '' THEN ''\r\n ELSE datetime(last_time_visible/1000, 'UNIXEPOCH', 'localtime') \r\n end last_time_visible,\r\n total_time_visible,\r\n app_launch_count,\r\n package,\r\n CASE types\r\n WHEN '1' THEN 'MOVE_TO_FOREGROUND'\r\n WHEN '2' THEN 'MOVE_TO_BACKGROUND'\r\n WHEN '5' THEN 'CONFIGURATION_CHANGE'\r\n WHEN '7' THEN 'USER_INTERACTION'\r\n WHEN '8' THEN 'SHORTCUT_INVOCATION'\r\n ELSE types\r\n END types,\r\n classs,\r\n source,\r\n fullatt\r\n from data\r\n order by lasttimeactive DESC\r\n ''')\r\n all_rows = cursor.fetchall()\r\n\r\n # HTML report section\r\n h = open('./Report.html', 'w')\r\n h.write('<html><body>')\r\n h.write('<h2>Android Usagestats report (Dates are localtime!)</h2>')\r\n h.write('<style> table, th, td {border: 1px solid black; border-collapse: collapse;}</style>')\r\n h.write('<br />')\r\n\r\n # HTML headers\r\n h.write('<table>')\r\n h.write('<tr>')\r\n h.write('<th>Usage Type</th>')\r\n h.write('<th>Last Time Active</th>')\r\n h.write('<th>Time Active in Msecs</th>')\r\n h.write('<th>Time Active in Secs</th>')\r\n h.write('<th>Last Time Service Used</th>')\r\n h.write('<th>Last Time Visible</th>')\r\n h.write('<th>Total Time Visible</th>')\r\n h.write('<th>App Launch Count</th>')\r\n h.write('<th>Package</th>')\r\n h.write('<th>Types</th>')\r\n h.write('<th>Class</th>')\r\n h.write('<th>Source</th>')\r\n h.write('</tr>')\r\n\r\n for row in all_rows:\r\n usage_type = row[0]\r\n lasttimeactive = row[1]\r\n time_Active_in_msecs = row[2]\r\n timeactive_in_secs = row[3]\r\n last_time_service_used = row[4]\r\n last_time_visible = row[5]\r\n total_time_visible = row[6]\r\n app_launch_count = row[7]\r\n package = row[8]\r\n types = row[9]\r\n classs = row[10]\r\n source = row[11]\r\n\r\n processed = processed + 1\r\n # report data\r\n h.write('<tr>')\r\n h.write('<td>' + str(usage_type) + '</td>')\r\n h.write('<td>' + str(lasttimeactive) + '</td>')\r\n h.write('<td>' + str(time_Active_in_msecs) + '</td>')\r\n h.write('<td>' + str(timeactive_in_secs) + '</td>')\r\n h.write('<td>' + str(last_time_service_used) + '</td>')\r\n h.write('<td>' + str(last_time_visible) + '</td>')\r\n h.write('<td>' + str(total_time_visible) + '</td>')\r\n h.write('<td>' + str(app_launch_count) + '</td>')\r\n h.write('<td>' + str(package) + '</td>')\r\n h.write('<td>' + str(types) + '</td>')\r\n h.write('<td>' + str(classs) + '</td>')\r\n h.write('<td>' + str(source) + '</td>')\r\n h.write('</tr>')\r\n\r\n # HTML footer\r\n h.write('<table>')\r\n h.write('<br />')\r\n\r\n print('')\r\n print('Records processed: ' + str(processed))\r\n print('Triage report completed. See Reports.html.')","def avail(self):\n\n return os.listdir(self.datadir)","def checkSumWalk(top=\".\", func=checkSumHelper):\n values = []\n os.path.walk( top, checkSumHelper, values )\n return sum(values)","def MainStats(path, filetype, NrExp, col, start, stop):\n# path= path.split('/') # here is better to google and see what is going on. Or experiment alone\n# path= \"/\".join(path[:-1]) \n dato=ExtractData_raw_files(path, filetype)\n dBase=dato.createDictBase()\n stats = Stats(dBase, NrExp, col, start, stop)\n means, stds=stats.Means_Stds()\n times = stats.time_return()\n return means , stds, times","def _get_filepaths(self):\n self._printer(str(self.__len__()) + \" file paths have been parsed in \" + str(self.timer.end))\n if self._hash_files:\n return pool_hash(self.filepaths)\n else:\n return self.filepaths","def totalFiles(pathCopyData, pathNetCDF, dateInit, dateFinal):\n dateInit = datetime.strptime(dateInit, '%Y-%m-%d')\n dateFinal = datetime.strptime(dateFinal, '%Y-%m-%d')\n dirr = pathCopyData\n dirr2 = pathNetCDF\n #name = 'wrfout_c1h_d01_\\d\\d\\d\\d-\\d\\d-\\d\\d_00:00:00.\\d\\d\\d\\d.nc'\n name = 'wrfout_c1h_d01_\\d\\d\\d\\d-\\d\\d-\\d\\d_00:00:00.a\\d\\d\\d\\d'\n date = '\\d\\d\\d\\d-\\d\\d-\\d\\d'\n fil = []\n ba = []\n patron2 = re.compile(date)\n patron = re.compile(name + '.*')\n for base, dirs, files in os.walk(dirr2, topdown=True):\n for value in files:\n if patron.match(value) != None:\n f = patron2.findall(value)\n dateNetCDF = datetime.strptime(f[0], '%Y-%m-%d')\n if (dateNetCDF < dateFinal) & (dateNetCDF > dateInit):\n fil.append(value)\n ba.append(base)\n fdata = df.DataFrame(fil, columns=['nameFile'])\n fbase = df.DataFrame(ba, columns=['nameBase'])\n fdata.to_csv(dirr + 'tfile.txt', encoding='utf-8', index=False)\n fbase.to_csv(dirr + 'tbase.txt', encoding='utf-8', index=False)","def totalfiles(self):\n return len([sz for sz in self.iterate()])","def lsinfo(path):","def enumerate():\n names = [f for f in os.listdir(_INPUT_ROOT) if not\n os.path.isdir(os.path.join(_INPUT_ROOT, f))]\n return sorted(names)","def test_scan_dir_files(self):\n self.run_scan(self.subdir, self.nest_fcount + 1)","def _find_files(directory, dirs_to_look_in, files_to_search_for, \n current_dir, see_files):\n full_name = True\n if see_files:\n full_name = False\n files_to_load = search_directory(directory, \n look_in=dirs_to_look_in,\n search_for=files_to_search_for,\n file_type='files',\n current_dir=current_dir,\n full_name=full_name)\n if not files_to_load:\n raise UserWarning('No files were found matching the search for %s'\\\n ' in the directory(s) %s%s' \\\n % (files_to_search_for, directory, \n dirs_to_look_in))\n return files_to_load","def findFiles(self):\n\n with open('analysis_result/firmwalkerOutput.txt', 'r') as firmwalker:\n for line in firmwalker:\n if line.startswith('##################################### ssh'):\n self.ssh = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### dropbear'):\n self.dropbear = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### busybox'):\n self.busyBox = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### telnet'):\n self.telnet = next(firmwalker).strip('d/').strip('\\n')\n elif line.startswith('##################################### openssl'):\n self.openssl = next(firmwalker).strip('d/').strip('\\n')","def missing_in_gn_by_file(self):\n return self._missing_gn_files","def find_all_infilepaths(in_dir):\n workdir = os.getcwd()\n os.chdir(in_dir)\n\n infiles_paths = dict()\n for infilename in glob.glob(\"[0-9]*_[0-9]*_[0-9]*.hdf5\"):\n pos = infilename.split('_')\n pos[-1] = pos[-1].split('.')[0]\n pos = tuple(list(map(lambda s: int(s), pos)))\n num_pos = _3d_to_numeric\n infiles_paths[num_pos] = os.path.join(in_dir, infilename)\n\n os.chdir(workdir)\n return infiles_paths","def dataStats(reportsDir = \"./reports/\"):\n legMulti = glob.glob(reportsDir+\"/leg/*.json\")\n legOne = glob.glob(reportsDir+\"/leg/oneproc/*.json\")\n legBroken = glob.glob(reportsDir+\"/leg/broken/*.json\")\n \n malMulti = glob.glob(reportsDir+\"/mal/*.json\")\n malOne = glob.glob(reportsDir+\"/mal/oneproc/*.json\")\n malBroken = glob.glob(reportsDir+\"/mal/broken/*.json\")\n \n print(\"\"\"Legal files:\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \"\"\"\n .format(len(legBroken+legMulti+legOne), len(legOne), len(legMulti), len(legBroken)))\n print(\"\"\"Malicious files:\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \"\"\"\n .format(len(malBroken+malMulti+malOne), len(malOne), len(malMulti), len(malBroken)))\n print(\"Working samples: {0}\".format(len(malMulti+malOne+legMulti+legOne)))","def dirsize(self):\n total = 0\n for p in self.select_file(recursive=True):\n try:\n total += p.size\n except: # pragma: no cover\n print(\"Unable to get file size of: %s\" % p)\n return total","def list_sources(config, base_dir, verbose=False):\n for source in config.sources_under(abspath(base_dir)):\n if verbose:\n print(\"# %s (%s)\" % (source.nicedir, ' '.join(source.info)))\n else:\n print(source.nicedir)","def count_total_line():\n count = 0\n file_count = 0\n for filename in os.listdir('.'):\n if filename.endswith(\".json\"):\n file_count += 1\n with open(filename, 'r', encoding='utf8') as f:\n for line in f:\n count += 1\n print(\"There are {0} lines in {1} json files\".format(count, file_count))","def _local_dir(self):\n return []","def check_init_files_and_folders():\n\t#['cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', 'cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', 'color_detect_2.py', 'dedupe.py', 'detect_image_group_ku.py', 'detect_shape_5.py', 'get_cam_id_2.py', 'get_image_8.py', 'gui_hsv.py', 'knaps.py', 'knapsack_2.py', 'maps.html', 'program_detect_rectangle.zip', 'start_capture.py']\n\tfile_list=[\n\t#'cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', \n\t'models/cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', \n\t#'color_detect_2.py', \n\t#'dedupe.py', \n\t'detect_bus_haar_group.py', \n\t#'detect_shape_5.py', \n\t'get_cam_detail.py', \n\t'get_image.py', \n\t#'gui_hsv.py', \n\t#'knaps.py', \n\t#'knapsack_2.py', \n\t#'maps.html', \n\t#'program_detect_rectangle.zip', \n\t'start_wimb.py',\n\t'g.php',\n\t]\n\tdirectory_list=[\n\t'images',\n\t'images_bgs',\n\t'images_bgs_mask',\n\t#'images_bgs_result',\n\t'images_color',\n\t'images_haar',\n\t'images_haar_result',\n\t'images_number',\n\t'images_number_result',\n\t'models',\n\t'images_old',\n\t'text_number',\n\t]\n\t\n\tfor file_name in file_list: print 'file '+file_name+' existed: '+str(os.path.isfile(file_name))\n\tfor directory_name in directory_list: \n\t\tprint 'directory '+directory_name+' existed: '+str(os.path.isdir(directory_name))\n\t\tif not os.path.isdir(directory_name): \n\t\t\tos.makedirs(directory_name)\n\t\tif \"images\" in directory_name: shutil.copy(path+'/g.php',path+'/'+directory_name+'/g.php')","def get_num_samples(org_dir, file_names):\n count = 0\n # Loop through the files, which then loop through the trees\n for filename in file_names:\n # Skip files that are not .mrg\n if not filename.endswith('.mrg'):\n continue\n # File is .mrg. Start processing\n file_dir = os.path.join(org_dir, filename)\n with open(file_dir, 'r', encoding='utf-8') as reader:\n content = reader.readlines()\n for _ in content:\n count += 1\n\n return count","def _get_total_games(self) -> int:\n files = get_tfr_filenames(self.config)\n total_games = 0\n for file in files:\n total_games += int(str(file).split('-')[1].split('.')[0])\n return total_games","def _discover_in_dir(self, dir_path: str) -> Optional[str]:\n for this_file in os.listdir(dir_path):\n if this_file.endswith('.esvi'):\n return os.path.join(dir_path, this_file)\n\n return None","def all_loci():\n for fname in listdir(join(DATA_PATH, 'loci')):\n try:\n yield fetch_locus(fname)\n except Exception as e:\n print(f'{repr(e)} fetching {fname}')","def list_dir(self, path):","def n_file(self):\n self.assert_is_dir_and_exists()\n n = 0\n for _ in self.select_file(recursive=True):\n n += 1\n return n","def find_vasp_calculations():\n dir_list = [\n \"./\" + re.sub(r\"vasprun\\.xml\", \"\", path)\n for path in glob.iglob(\"**/vasprun.xml\", recursive=True)\n ]\n gz_dir_list = [\n \"./\" + re.sub(r\"vasprun\\.xml\\.gz\", \"\", path)\n for path in glob.iglob(\"**/vasprun.xml.gz\", recursive=True)\n ]\n return dir_list + gz_dir_list","def findMayaFiles(directory):\n\n pass","def __calculate_current_row(self):\n last_data_file = None\n location = os.listdir(self.path)\n #Remove non-data files from our list of dirs.\n location = [element for element in location if 'data' in element]\n #Sort as integers so we get them in the right order.\n location = sorted(location, key=lambda x: int(x.split('.')[0].split('_')[1]), reverse = True)\n for f in location:\n if f[0:4] == 'data':\n last_line = None\n with open(self.path + '/' + f, 'r') as f:\n for line in f:\n if len(line) > 1:\n last_line = line\n if last_line:\n return json.loads(line)['row_id']\n\n return 0","def _rnlst(self, path, filelist):\n path = self._cleanpath(path)\n dirdict = self.parsedir(path)\n print(dirdict)\n \n trycwds = dirdict.get('trycwds', [])\n names = dirdict.get('names', [])\n \n for trycwd, name in zip(trycwds, names): \n if trycwd: # name is a directory\n self._rnlst(self.remotepathsep.join([path, name]), filelist)\n else: \n filelist.append(self.remotepathsep.join([path, name]))\n \n return filelist","def find_all_files(self):\n look4files = [ f for f in listdir(self.file_location) if isfile(join(self.file_location,f)) ]\n return look4files","def import_directory(self, directory):\n files_list = sys_utils.get_files_from_directory(directory)\n if files_list == None:\n return None, 0\n oids = []\n num_new_files = 0\n p = progress.progress(len(files_list))\n for file_location in files_list:\n oid, new_file = self.import_file(file_location)\n p.tick()\n if oid:\n oids.append(oid)\n if new_file:\n num_new_files += 1\n oids = list(set(oids)) # assert uniqueness \n return oids, num_new_files","def _get_files(self):\n # pylint: disable=unused-variable\n for dirpath, __, filenames in os.walk(self.start_location):\n for file_ in filenames:\n if file_.endswith('.py'):\n yield \"{0}{1}\".format(dirpath, file_)","def _get_base_files(self):\n setup_file = path.join(self.PyCogentDirectory, 'setup.py')\n #reqs_file = path.join(self.PyCogentDirectory, 'cogent-requirements.txt')\n #return [(setup_file, 'Python'), (reqs_file, 'Properties')]\n return [(setup_file, 'Python')]","def get_nb_files(directory):\r\n if not os.path.exists(directory):\r\n return 0\r\n cnt = 0\r\n for r, dirs, files in os.walk(directory):\r\n for dr in dirs:\r\n cnt += len(glob.glob(os.path.join(r, dr + \"/*\"))) # glob模块是用来查找匹配文件的，后面接匹配规则。\r\n return cnt","def file_stat(self, file_path):","def main():\n results = []\n results.extend(check_mounts())\n results.extend(diskusage())\n return results","def get_number_of_files(directory: str):\n\n number_of_files = len([item for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\n print(number_of_files)\n return number_of_files","def getNFiles(self, config, base, logger=None):\n if 'nfiles' in config:\n return galsim.config.ParseValue(config, 'nfiles', base, int)[0]\n else:\n return 189","def get_info(self):\n if os.path.isfile(self.path):\n total_size = os.path.getsize(self.path)\n total_files = 1\n elif os.path.exists(self.path):\n total_size = 0\n total_files = 0\n for x in os.walk(self.path):\n for fn in x[2]:\n fpath = os.path.normpath(os.path.join(x[0], fn))\n rel_path = os.path.relpath(fpath, self.path)\n if any(fnmatch.fnmatch(rel_path, ext) for ext in self.exclude):\n continue\n fsize = os.path.getsize(fpath)\n if fsize and not is_hidden_file(fpath):\n total_size += fsize\n total_files += 1\n else:\n raise exceptions.InvalidInputException\n if not (total_files and total_size):\n raise exceptions.EmptyInputException\n if self.piece_size:\n ps = self.piece_size\n else:\n ps = 1 << max(0, math.ceil(math.log(total_size / 1500, 2)))\n if ps < MIN_PIECE_SIZE:\n ps = MIN_PIECE_SIZE\n if ps > MAX_PIECE_SIZE:\n ps = MAX_PIECE_SIZE\n return (total_size, total_files, ps, math.ceil(total_size / ps))","def get_testing_data(self):\n\n print 'Loading testing data ', self.test_folder , '...'\n test_text = []\n cnt = 0\n\n for f in listdir(self.test_folder):\n file_path = join(self.test_folder, f)\n if isfile(file_path):\n cnt += 1\n if cnt % 10000 == 0:\n print 'finished:', cnt # line counter\n self.test_index.append(f[:-4])\n with open(file_path, 'rb') as f:\n test_text.append( f.read() )\n\n return test_text","def perform_calculations():\n # contains the result of the total repositories\n result = [] \n count_all_lines = 0 # mainatains the line that has been counted\n for_loops_list = []\n func_parameters = [] # function parameter checks list\n no_of_variables = set() # a set containing variables\n docs_comments = [] \n single_line_comments = []\n code_duplication = 0\n repo_imports_set = set() # imports for the entire repo\n current_repo = ''\n for item in traverse_repos():\n current_repo = item['repo_url']\n for path in item['files']:\n with open(path, 'r') as file_:\n lines = file_.readlines()\n # call code duplication\n code_duplication += code_duplication_check(lines)\n for line in lines:\n if re.match(r'^#.+', line.strip()):\n single_line_comments.append(line.strip())\n # this makes it possible to campare later\n # call find_repo_imports\n line_import = find_repo_imports(line)\n \n repo_imports_set.add(line_import)\n # call countlines of code function\n count_all_lines += count_lines_of_code(line.strip())\n # call find_for_loops\n for_loops = find_for_loops(line)\n if for_loops:\n for_loops_list.append(for_loops)\n function = avarage_parameters(line)\n if function:\n func_parameters.append(avarage_parameters(line))\n no_of_variables.add(avarage_variables_per_line(line))\n\n with open(path, 'r') as content_file:\n content = content_file.read()\n docs_comments.extend(find_docstrings_and_comments(content, single_line_comments))\n \n \n\n external_packages = find_external_packages(repo_imports_set)\n repo_lines_of_codes = count_all_lines - len(docs_comments)\n avarage_variables_repo = (len(no_of_variables)-1) / repo_lines_of_codes\n nesting = nesting_depth(for_loops_list) / len(for_loops_list)\n avarage_params = sum(func_parameters) / len(func_parameters)\n repo_result = {\n 'repository_url': current_repo, \n 'number of lines': repo_lines_of_codes, \n 'libraries': external_packages,\n 'nesting factor': nesting,\n 'code duplication': code_duplication,\n 'average parameters': avarage_params,\n 'average variables': avarage_variables_repo\n \n }\n result.append(repo_result)\n\n return result","def summarize(path: str) -> dict:\n results = parse_bactopia_directory(path)","def read_file_names(self):\n files_BIDMC = os.listdir(self.root_dir_BIDMC)\n masks_BIDMC = os.listdir(self.seg_dir_BIDMC)\n files_HK = os.listdir(self.root_dir_HK)\n masks_HK = os.listdir(self.seg_dir_HK)\n files_I2CVB = os.listdir(self.root_dir_I2CVB)\n masks_I2CVB = os.listdir(self.seg_dir_I2CVB)\n files_ISBI = os.listdir(self.root_dir_ISBI)\n masks_ISBI = os.listdir(self.seg_dir_ISBI)\n files_ISBI_15 = os.listdir(self.root_dir_ISBI_15)\n masks_ISBI_15 = os.listdir(self.seg_dir_ISBI_15)\n files_UCL = os.listdir(self.root_dir_UCL)\n masks_UCL = os.listdir(self.seg_dir_UCL)\n site_files = [files_BIDMC, files_HK, files_I2CVB, files_ISBI, files_ISBI_15, files_UCL]\n site_masks = [masks_BIDMC, masks_HK, masks_I2CVB, masks_ISBI, masks_ISBI_15, masks_UCL]\n return site_files, site_masks","def compute_code():\n for file in os.listdir('./src/Templates'):\n input.parse_template('./src/Templates/' + file, './student/' + file + '.py')\n data = input.load_input()\n return len([k for k in data['input'].keys() if '@' not in k])","def lookup_ifproc_file(obsnum, path='/data_lmt/ifproc/', debug=False):\n paths = [path]\n\n if 'ifproc' not in path:\n paths += ['/data_lmt/ifproc/']\n if 'lmtttpm' not in path:\n paths += ['/data_lmt/lmttpm/']\n if 'tel' not in path:\n paths += ['/data_lmt/tel/']\n\n if debug:\n print(paths)\n\n for path in paths:\n filenames = glob.glob(os.path.join(path, '*_%06d_*.nc' % obsnum))\n if len(filenames) > 0:\n if debug:\n print('found %s' % (filenames[0]))\n return filenames[0]\n return ''\n #filename = ''\n #for file in os.listdir(path):\n # if fnmatch.fnmatch(file,'*_%06d_*.nc'%(obsnum)):\n # print('found %s'%(file))\n # filename = path+file\n #if filename == '':\n #print('lookup_ifproc_file: no file for obsnum ', obsnum)\n #if 'lmttpm' not in path:\n # print('look in lmttpm')\n # return lookup_ifproc_file(obsnum,path='/data_lmt/lmttpm/')\n #return(filename)","def calculate(d):\r\n\r\n # Set correct slashes for the OS\r\n if sys.platform == 'windows':\r\n slash = '\\\\'\r\n elif sys.platform == 'linux':\r\n slash = '/'\r\n else:\r\n print('#Error. Unknown platform.')\r\n return\r\n\r\n print('Files in the current directory and their md5-hashes:\\n')\r\n i = 0\r\n assert i == 0, '#Error. Variable i != 0.'\r\n\r\n for i in range(len(d[2])): # Go through the list of files\r\n full_path = d[0]+slash+d[2][i]\r\n print(full_path) # Get the list of files with full paths\r\n print(md5(full_path))\r\n size(full_path)","def find_data(self):\n data_list = []\n for root, dirs, files in os.walk(pathfinder.data_path()):\n for name in files:\n data_list.append(os.path.join(root, name))\n return data_list","def count_files_dir(self,full_path):\n try:\n num_files = len([name for name in os.listdir(full_path) if os.path.isfile(self.FILENAME)])\n print(f\"Number of files in {full_path} is {num_files}\")\n return num_files\n except Exception as e:\n raise SystemExit(f\"Could not complete operation: {e}\")","def read_inputs(self):\n curdir = os.getcwd()\n os.chdir(self.fst_dir)\n rstat = self.readFST()\n if rstat == 0:\n os.chdir(curdir)\n return 0\n # the names of the next files are either set by caller or come from the reading the FAST file\n rstat = self.readNoise()\n rstat = self.readAD()\n rstat = self.readBlade()\n rstat = self.readPtfm()\n os.chdir(curdir)","def getAllVCFs(inputFolder):\n listOfFiles = []\n numErrors = 0\n for folder in os.listdir(inputFolder): #Loop through all folders\n # print(folder)\n try: # using a try-xcept block to avoid errors with other files \n # not following this structure\n # TODO: make this cleaner\n vcfLoc = os.path.join(inputFolder, os.path.join(folder, \"pilon/\"))\n # print(vcfLoc)\n for potentialFile in os.listdir(vcfLoc):\n # print(potentialFile)\n if(potentialFile.endswith(\".vcf.gz\")):\n listOfFiles.append(os.path.join(vcfLoc, potentialFile))\n except:\n # print(\"error at \" + folder)\n numErrors += 1\n print(numErrors)\n return listOfFiles","def _checkpoint_numbers(cls, checkpoints_dir):\n dirs = [d for d in listdir(checkpoints_dir) if d.endswith('.checkpoint')]\n return sorted([int(d[:-11]) for d in dirs])","def get_amount_by_file(path):\n if os.stat(path).st_size == 0:\n raise Exception\n with open(path, 'r') as file:\n items = file.read().split(',')\n total = reduce(lambda x, y: int(x) + int(y), items)\n return total","def readNSRelaxFiles(folder_path):\n\n run_arr = []\n Nrun_arr = []\n dod_arr = []\n crate_arr = []\n count=0\n\n # find number of files that starts with run\n # (this is the data file we want to read)\n for file in os.listdir(folder_path):\n if file.startswith(\"relaxrun\"):\n count+=1\n\n # order the data files by run number, so we get descending crates\n Nrun=1\n for i in range(count+5):\n for file in os.listdir(folder_path):\n if file.startswith(\"relaxrun_\"+str(Nrun)+\"_\"):\n run_arr.append(file)\n dod = re.search('dod=(.*).txt', file).group(1)\n crate = re.search('Crate=(.*)_',file).group(1)\n Nrun_arr.append(np.round(int(Nrun),decimals=0))\n dod_arr.append(float(dod))\n crate_arr.append(float(crate))\n Nrun+=1\n print(len(run_arr))\n\n return run_arr, Nrun_arr, dod_arr, crate_arr","def _determine_local_import_names(start_dir):\n file_ext_pairs = [os.path.splitext(path) for path in os.listdir(start_dir)]\n return [\n basename\n for basename, extension\n in file_ext_pairs\n if extension == '.py' or os.path.isdir(\n os.path.join(start_dir, basename))\n and basename not in ('__pycache__')]","def get_results_labels(dir_path):\n dx = 0\n directories = [dI for dI in os.listdir(dir_path)\n if os.path.isdir(os.path.join(dir_path, dI))]\n results = []\n\n for directory in directories:\n # collect the path to all results files\n path = os.path.join(dir_path, directory)\n files = [os.path.join(path, f) for f in os.listdir(path)\n if os.path.isfile(os.path.join(path, f))\n and 'results' in f]\n\n # if the directory does not have results files, move on to the next\n if len(files) == 0:\n continue\n\n # collect the average cumulative returns per training iteration\n res = []\n lengths = []\n for i, f in enumerate(files):\n data = pd.read_csv(f)\n if i == 0:\n dx = data['total/steps'][2] - data['total/steps'][1]\n res.append(data['rollout/return_history'])\n lengths.append(len(data['rollout/return_history']))\n\n res = [[r[:min(lengths)]] for r in res]\n results.append(np.concatenate(res, axis=0))\n\n return results, directories, dx","def get_python_files(all_files=None):\n if all_files is None:\n all_files = ci_diff_helper.get_checked_in_files()\n\n production_files = []\n test_files = []\n for filename in all_files:\n if not valid_filename(filename):\n continue\n if is_test_filename(filename):\n test_files.append(filename)\n else:\n production_files.append(filename)\n\n return production_files, test_files","def reportinfo(self):\n return super().reportinfo()[:2] + (self.fspath.relto(os.getcwd()),)","def count_dirs_and_files(directory='.'):\n pass","def ttl_files_in_dir(dir_path, pat='.'):\n if not path.isdir(dir_path):\n raise NotADirectoryError\n\n # In a subprocess, count list the files in the dir and count them, convert output to an int\n ttl = int(check_output('ls -A -U --color=never {} | grep {} | wc -l'.format(dir_path, pat), shell=True).strip())\n\n return ttl","def count(train_dir):\r\n path = train_dir\r\n count = 0\r\n for fn in os.listdir(path): #fn 表示的是文件名\r\n count = count + 1\r\n return count","def total_number():\r\n total_number = 0\r\n file_read = read_file()\r\n for key in file_read:\r\n total_number = total_number + len(file_read[key])\r\n return total_number"],"string":"[\n \"def get_folder_total(path):\\n files = os.listdir(path)\\n pythonfiles = ['%s/%s' % (path, filename) for filename in files if filename[-3:] == '.py']\\n total = { 'net': 0, 'total': 0, 'nonblank': 0, 'num_inputs':0 }\\n for filename in pythonfiles:\\n with open(filename, 'r') as thisfile:\\n blob = thisfile.read()\\n # print filename\\n thisloc = loc(blob)\\n for k, v in thisloc.items():\\n total[k] += v\\n return total\",\n \"def loc():\\n file_types = (\\n ['Python', 'py', '#']\\n )\\n\\n click.echo('Lines of code\\\\n-------------')\\n\\n click.echo(\\\"{0}: {1}\\\".format(file_types[0], count_locs(file_types[1],\\n file_types[2])))\\n\\n return None\",\n \"def analyze_files(self):\\n for file in os.listdir(self.directory):\\n if file[-3:] == (\\\".py\\\"):\\n fopen = open(os.path.join(self.directory, file), \\\"r\\\")\\n try:\\n if not (py_file := fopen):\\n raise FileNotFoundError\\n\\n with py_file: # close file after opening\\n class_count: int = 0\\n fun_count: int = 0\\n l_count: int = 0\\n ch_count: int = 0\\n for line in py_file: # calculate values for the file\\n if line.strip().startswith(\\\"class \\\"):\\n class_count = class_count+1\\n elif line.strip().startswith(\\\"def \\\"):\\n fun_count = fun_count+1\\n\\n l_count = l_count+1\\n ch_count = ch_count+len(line)\\n\\n self.files_summary[str(os.path.join(self.directory, file))] = {\\\"class\\\": class_count, \\\"function\\\": fun_count, \\\"line\\\": l_count,\\n \\\"char\\\": ch_count}\\n except FileNotFoundError:\\n print(f\\\"File {py_file} is not found or can not be opened\\\")\\n fopen.close()\",\n \"def checkSum():\\n val = 0\\n for ext in EXTENSION_GLOBS:\\n for f in glob.glob (ext):\\n stats = os.stat(f)\\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\\n return val\",\n \"def fileCounter(directory):\",\n \"def getFileLoc(self):\\n\\t\\trval = []\\n\\t\\tlocalVolTbl = self.file_loc['localVolTbl']\\n\\t\\tnetVolTbl = self.file_loc['netVolTbl']\\n\\t\\t\\n\\t\\tif localVolTbl != None:\\n\\t\\t\\trval.extend((FILE_LOC[0],\\n\\t\\t\\t\\tFILE_LOC[1] + self.file_loc['basePathname'] + \\\\\\n\\t\\t\\t\\t\\\"\\\\\\\\\\\" + self.file_loc['remainPathname']))\\n\\t\\n\\t\\t\\tfor ii in range(len(VOL_TYPE)):\\n\\t\\t\\t\\tif (self.header['file_attributes'] & (2 ** (ii + 1))) > 0:\\n\\t\\t\\t\\t\\trval.append(VOL_TYPE[ii])\\n\\t\\t\\t\\t\\n\\t\\t\\trval.extend((FILE_LOC[2] + localVolTbl['volume_label'],\\n\\t\\t\\t\\tFILE_LOC[3] + str(localVolTbl['vol_serial_num'])))\\t\\t\\n\\t\\n\\t\\tif netVolTbl != None:\\n\\t\\t\\trval.append(FILE_LOC[4] + netVolTbl['net_sharename'] + \\\\\\n\\t\\t\\t\\t\\\"\\\\\\\\\\\" + self.file_loc['remainPathname'])\\n\\t\\treturn rval\",\n \"def check_dir(self):\\n if not Path(self.src_dir).exists():\\n print('No such directory found:', self.src_dir)\\n return\\n\\n nc_all = self.src_dir + \\\"/*.nc*\\\"\\n if len(glob.glob(nc_all)) == 0:\\n print('No NetCDF files found in:', self.src_dir)\\n return\\n\\n return nc_all\",\n \"def analyze_files(self):\\n num_file = 0\\n results = dict()\\n try:\\n list_files = os.listdir(self.directory)\\n except FileNotFoundError:\\n raise FileNotFoundError(\\\"Can't find any file\\\")\\n else:\\n for file in list_files: #looping the files in the directly\\n num_file += 1\\n if file.endswith(\\\".py\\\"): # Looking for files that end with .py\\n try:\\n fp = open(os.path.join(self.directory, file), \\\"r\\\")\\n except FileNotFoundError:\\n raise FileNotFoundError(f\\\"Can't open file no {num_file}\\\")\\n else:\\n with fp:\\n c_total = 0 #Total length of Characters for the entire file\\n filename = file # Storing the file name\\n t_line = 0 # Getting the total number of line\\n t_def = 0 #Getting the total number of functions\\n t_class = 0 #Getting the total number of classes\\n \\n for line in fp:\\n t_line += 1 # Counting each line\\n t_char = len(line) #Length of characters for each line\\n n_line = line.strip() # gets rid of white spaces and new lines\\n c_total += t_char # adding each total char in line to the pervious total char in line\\n if n_line.startswith(\\\"def \\\"): \\n t_def += 1 \\n elif n_line.startswith(\\\"class \\\"):\\n t_class += 1\\n results[filename] = {'class': t_class, 'function': t_def, 'line': t_line, 'char': c_total }\\n return results\",\n \"def test_case_6():\\n print(\\\"*********Test_case_6***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir', 't1.c')\\n result = find_files('.c', path)\\n print(result)\",\n \"def test_case_5():\\n print(\\\"*********Test_case_5***********\\\")\\n result = find_files('.c', \\\"\\\")\\n print(result)\",\n \"def execute(root_dir):\\n \\n \\n #Getting all the file recursively that py files\\n lenght=[]\\n libraries=[]\\n nesting_factors=[]\\n param_count=[]\\n total_var=[]\\n duplicate_for_the_repo=[]\\n average_nesting_factor=0\\n average_param=0\\n code_duplication=0\\n avg_var=0\\n \\n k=root_dir.rsplit('-')\\n n=k[0]\\n m=k[-1]\\n \\n urls=[ repo for repo in repo_list if n and m in repo ]\\n if urls:\\n url=urls[0]\\n else:\\n url=root_dir\\n\\n for filename in glob.iglob(root_dir + '/**/*.py', recursive=True):\\n #filename=filename.replace(\\\" \\\", \\\"\\\\\\\\ \\\")\\n filename=str_to_raw(filename)\\n try: \\n count=pygount.source_analysis(filename, 'pygount') # counting the line of codes for the py files\\n l=count.code\\n lenght.append(l)\\n library =imported_module(filename)\\n for lib in library:\\n libraries.append(lib)\\n deg_list=nesting_factor(for_loop_position(filename)) \\n for deg in deg_list:\\n nesting_factors.append(deg)\\n\\n\\n\\n for param in parameter_count(filename):\\n param_count.append(param)\\n for var in variable_count(filename):\\n total_var.append(var)\\n duplicate_for_the_repo.append(duplicated_line(filename))\\n except Exception as e:\\n print(\\\"type error: \\\" + str(e))\\n print(filename)\\n \\n \\n if len(nesting_factors) !=0: \\n average_nesting_factor= np.mean(nesting_factors)\\n if param_count: \\n average_param= np.mean(param_count) \\n libraries=unique(libraries)\\n repo_count=sum(lenght)\\n if total_var:\\n avg_var=np.mean(total_var)\\n if repo_count and duplicate_for_the_repo:\\n code_duplication=(sum(duplicate_for_the_repo)/repo_count)*100\\n \\n return {'repository_url': url, \\n 'number of lines': repo_count, \\n 'libraries': libraries,\\n 'nesting factor': average_nesting_factor,\\n 'code duplication': code_duplication,\\n 'average parameters':average_param,\\n 'average variables':avg_var}\",\n \"def _get_run_info(self, path, creation_date):\\n total = 0\\n try:\\n for entry in os.scandir(path):\\n # Only evaluates size of files and not folders inside raw/proc\\n if entry.is_file():\\n # if it's a file, use stat() function\\n total += entry.stat().st_size\\n\\n except NotADirectoryError:\\n # if `path` isn't a directory, get the file size then\\n total = os.path.getsize(path)\\n except PermissionError:\\n # if for whatever reason we can't open the folder, return 0\\n return 0\\n\\n if os.path.isdir(path):\\n validator = RunValidator(path)\\n elif path.endswith(\\\".h5\\\"):\\n validator = FileValidator(H5File(path).files[0])\\n else:\\n return 0\\n\\n try:\\n validator.run_checks()\\n except Exception:\\n pass\\n return total, str(ValidationError(validator.problems))\",\n \"def test_case_3():\\n print(\\\"*********Test_case_3***********\\\")\\n result = find_files('.c', None)\\n print(result)\",\n \"def count_LOC(path):\\n re_empty = re.compile(r\\\"[\\\\s]*(#|\\\\n|\\\\\\\"\\\\\\\"\\\\\\\")\\\")\\n re_for = re.compile(r\\\"for.*in\\\")\\n re_lambda = re.compile(r\\\"lambda\\\")\\n re_if = re.compile(r\\\"if.*:\\\")\\n re_def = re.compile(r\\\"def (?P<fname>\\\\w+)\\\\(\\\")\\n\\n total_LOC, indent_level = 0, 0\\n cur_part = None\\n parts = defaultdict(int)\\n\\n with open(path, 'r') as _file:\\n for line in filter(lambda l : not re_empty.match(l), _file):\\n\\n extra = len( re_for.findall(line) ) - 1 + len( re_lambda.findall(line) ) - 1 + len( re_if.findall(line) ) -1\\n\\n if extra < 0: extra = 0\\n\\n total_LOC += 1 + extra\\n if cur_part:\\n parts[cur_part] += 1 + extra\\n\\n defs = re_def.search(line)\\n if defs:\\n cur_part = defs.groupdict()['fname']\\n indent_level = first_non_whitespace(line)\\n\\n cur_indent = first_non_whitespace(line)\\n if cur_indent < indent_level:\\n cur_part = None\\n indent_level = cur_indent\\n\\n return(total_LOC, parts)\",\n \"def getBaseSrcFile(self) -> List[int]:\\n ...\",\n \"def checkSumHelper(arg, dirname, fnames):\\n val = 0\\n files = [name for name in fnames if os.path.splitext(name)[1] in EXTENSIONS]\\n for file in files:\\n absFile = os.path.join(dirname,file)\\n try:\\n stats = os.stat(absFile)\\n except OSError,e:\\n # This is to skip over temporary files or files\\n # nosy doesn't have permission to access\\n # print \\\"Nosy: skipping file %s with error %s\\\"%(absFile,e)\\n continue\\n val += stats[stat.ST_SIZE] + stats[stat.ST_MTIME]\\n arg.append(val)\\n return\",\n \"def test_case_1():\\n print(\\\"*********Test_case_1***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir')\\n result = find_files('.c', path)\\n for file in result:\\n print(file)\",\n \"def test_case_4():\\n print(\\\"*********Test_case_4***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir')\\n result = find_files('', path)\\n for file in result:\\n print(file)\",\n \"def print_local_output_files_stats():\\n print \\\"\\\\n\\\\nFILES CREATED:\\\"\\n for filename in os.listdir('../output'):\\n filesize = os.path.getsize('../output/' + filename)\\n print str(filesize) + \\\"\\\\t\\\" + filename\\n print \\\"\\\\n\\\"\",\n \"def get_amount_of_data(directory: str):\\n size = sum([os.path.getsize(os.path.join(directory, item)) for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\\n print(size)\\n return size\",\n \"def readfiles(self, dirname , search , notsearch = 'rgvar' , notdir = 'xyvwa'):\\n print('We are in the following directory: %s looking for files that contain %s and not %s' %(dirname, search , notsearch))\\n dirlist = os.listdir(dirname)\\n for filep in dirlist:\\n filep = os.path.join(dirname,filep) \\n if os.path.islink(filep):\\n pass\\n elif os.path.isdir(filep):\\n m = re.search(notdir , filep)\\n if m is None:\\n self.readfiles(filep , search, notsearch = notsearch, notdir = notdir )\\n elif os.path.isfile(filep) and '.dat' in filep: \\n nm = re.search(notsearch, filep)\\n m = re.search(search , filep)\\n #print m , nm\\n if m is not None and nm is None:\\n self.plotfiles.append(filep)\\n else:\\n pass\",\n \"def my_root_listdir(root_dir):\\n root_listdir = [\\n images_dir\\n for images_dir in os.listdir(root_dir)\\n if not any(\\n characters in images_dir for characters in [\\\".\\\", \\\"test\\\", \\\"train\\\", \\\"valid\\\"]\\n )\\n ]\\n summ = 0\\n for images_dir in root_listdir:\\n summ += len(os.listdir(root_dir + \\\"/\\\" + images_dir)) / 2 - 2\\n print(\\\"Sum of images in directories: \\\", int(summ))\\n return root_listdir\",\n \"def retrive_scanning_scheme(self, Nest_data_directory, file_keyword = 'PMT_0Zmax'):\\r\\n fileNameList = []\\r\\n# ImgSequenceNum = 0\\r\\n for file in os.listdir(Nest_data_directory):\\r\\n if file_keyword in file:\\r\\n fileNameList.append(file)\\r\\n \\r\\n RoundNumberList = []\\r\\n CoordinatesList = []\\r\\n for eachfilename in fileNameList:\\r\\n # Get how many rounds are there\\r\\n try:\\r\\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Grid')])\\r\\n except:\\r\\n RoundNumberList.append(eachfilename[eachfilename.index('Round'):eachfilename.index('_Coord')])\\r\\n \\r\\n RoundNumberList = list(dict.fromkeys(RoundNumberList)) # Remove Duplicates\\r\\n \\r\\n CoordinatesList.append(eachfilename[eachfilename.index('Coord'):eachfilename.index('_PMT')])\\r\\n CoordinatesList = list(dict.fromkeys(CoordinatesList))\\r\\n \\r\\n# print(RoundNumberList, CoordinatesList, fileNameList)\\r\\n return RoundNumberList, CoordinatesList, fileNameList\",\n \"def add_loc(self):\\n self.loc = 0\\n for t in self.thys:\\n with open(t, 'r') as f:\\n for l in f:\\n if l.strip():\\n self.loc += 1\",\n \"def process_files(file_location, day):\\n # construct file path\\n file_dir = PREFIX+file_location\\n file_pattern = file_dir+'lz_'+day+'*_raw.root'\\n # print(file_pattern)\\n file_list = glob.glob(file_pattern)\\n print(\\\"There are %s MC files in the requested directory (%s).\\\" %(len(file_list), file_dir))\\n file_names = []\\n for f in file_list:\\n file_name_only = f.split('/')\\n file_names.append(file_name_only[-1])\\n return file_names\",\n \"def scan(self,project_dir):\\n ftypes = [\\\".csv\\\", \\\".data\\\", \\\".xlsx\\\"]\\n print(\\\"Scanning directory : \\\",project_dir)\\n print(\\\"Searching for : \\\",ftypes)\\n self.localfiles = {}\\n for dirpath, dirnames, filenames in os.walk(project_dir, topdown=True):\\n for filename in filenames:\\n for ftype in ftypes:\\n if ftype in filename:\\n self.localfiles[filename] = {\\n \\\"filename\\\": filename,\\n \\\"filesize\\\": getsize(os.path.join(dirpath, filename)),\\n \\\"abspath\\\": os.path.join(dirpath, filename),\\n \\\"dirpath\\\": dirpath,\\n \\n }\\n print(\\\"Found These: \\\",[file_name for file_name in self.localfiles.keys()])\",\n \"def getFilePaths():\\n \\n image_dir = r'/hpc/wfok007/mpi_heart/Training Set'\\n mask_paths = []\\n image_paths = []\\n for root, dirs, files in os.walk(image_dir, topdown=False):\\n for name in files:\\n if name == 'laendo.nrrd':\\n mask_paths.append(os.path.join(root, name))\\n elif name == 'lgemri.nrrd':\\n image_paths.append(os.path.join(root, name))\\n else:\\n print ('%s is unknown' %name)\\n return mask_paths, image_paths\",\n \"def total_files(self):\\n command = \\\"SELECT searched FROM options;\\\"\\n return self.c.execute(command)\",\n \"def get_checkpoint():\\n\\timport numpy as np\\n\\n\\tcheckpoint = []\\n\\tfor directory in directories:\\n\\t\\ttry: # try to find folder\\n\\t\\t\\tos.chdir('./'+directory)\\n\\t\\texcept:\\n\\t\\t\\tcontinue\\n\\t\\tcontents = os.listdir('./')\\n\\t\\tif contents == []: # if folder is empty\\n\\t\\t\\tprint(\\\"No data for\\\", directory)\\n\\t\\t\\tos.chdir('..')\\n\\t\\t\\tcontinue\\n\\t\\tcounter = []\\n\\t\\tfor entry in contents:\\n\\t\\t\\tentry = entry.split('.')\\n\\t\\t\\tnum = entry[0][2:]\\n\\t\\t\\ttry: # excludes files that aren't of type x-y.jpg\\n\\t\\t\\t\\tnum = int(num)\\n\\t\\t\\t\\tcounter.append(num)\\n\\t\\t\\texcept:\\n\\t\\t\\t\\tcontinue\\n\\t\\tcheckpoint.append(max(counter))\\n\\t\\tos.chdir('..')\\n\\tcheckpoint = np.mean(checkpoint)\\n\\treturn checkpoint\",\n \"def target_totalfiles(self):\\n return self._cfg.get('totalfiles', None)\",\n \"def test_case_2():\\n print(\\\"*********Test_case_2***********\\\")\\n path = os.path.join(os.path.dirname(__file__), 'testdir')\\n result = find_files(None, path)\\n print(result)\",\n \"def fs_files_total(self):\\n return self._fs_files_total\",\n \"def scanFiles(directory, includes = [\\\"*\\\"], excludes = []):\\n\\treturn scanAll(directory, includes, excludes)[1]\",\n \"def test_search_file(self):\\n base_dir = join(get_current_path(), 'samples', 'base_dir1')\\n output_dir = join(get_current_path(), 'samples', 'base_dir1', 'result')\\n files = search_files(base_dir, output_dir)\\n self.assertTrue(self.verify_sub_folders(list(files.keys())))\\n\\n # sub folders under Concord is not counted, only files\\n self.assertEqual(len(files['Concord']), 5)\\n self.assertEqual(len(files['ListCo Equity']), 1)\\n self.assertEqual(len(files['CLO Equity']), 2)\\n self.assertEqual(files['ListCo Equity'][0], join(base_dir, 'ListCo Equity', 'Positions1219.xlsx'))\",\n \"def gather_counts(directory):\\n counts_un = defaultdict(int)\\n counts_bi = defaultdict(int)\\n counts_tri = defaultdict(int)\\n prev_prev = \\\"<s>\\\"\\n prev = \\\"<s>\\\"\\n for filename in os.listdir(f\\\"./{directory}\\\"):\\n if \\\".DS_Store\\\" in filename:\\n continue\\n with open(f\\\"./{directory}/{filename}\\\", \\\"r\\\") as f:\\n for line in f:\\n line = line.strip()\\n if len(line) == 0:\\n continue\\n counts_un[line+\\\"\\\\n\\\"] += 1\\n counts_bi[prev+\\\"\\\\n\\\"+line+\\\"\\\\n\\\"] += 1\\n counts_tri[prev_prev+\\\"\\\\n\\\"+prev+\\\"\\\\n\\\"+line+\\\"\\\\n\\\"] += 1\\n prev_prev = prev\\n prev = line\\n counts_un[\\\"</s>\\\\n\\\"] += 2\\n counts_bi[\\\"</s>\\\\n</s>\\\\n\\\"] += 1\\n counts_bi[prev+\\\"\\\\n\\\"+\\\"</s>\\\\n\\\"] += 1\\n counts_tri[prev_prev+\\\"\\\\n\\\"+prev+\\\"\\\\n\\\" + \\\"</s>\\\\n\\\"] += 1\\n counts_tri[prev+\\\"\\\\n</s>\\\\n</s>\\\\n\\\"] += 1\\n return counts_un, counts_bi, counts_tri\",\n \"def get_all_metrics(dir):\\r\\n file_lst = os.listdir(dir)\\r\\n file_lst = list(filter(lambda x: re.findall(r'\\\\.csv$',x), file_lst))\\r\\n return file_lst\",\n \"def current_missing(**kwargs) -> int:\\n data_path = os.environ.get(BBG_ROOT, '').replace('\\\\\\\\', '/')\\n if not data_path: return 0\\n return len(files.all_files(f'{data_path}/Logs/{missing_info(**kwargs)}'))\",\n \"def getNtot(self,dir):\\n return int(readfile(dir + '/struct_enum.out')[-1].split()[0])\",\n \"def test_known_file_locations(dataset: linux.LinuxSourcesDataset):\\n assert (dataset.src_tree_root / \\\"kernel\\\" / \\\"kexec.c\\\").is_file()\\n assert (dataset.src_tree_root / \\\"kernel\\\" / \\\"smpboot.h\\\").is_file()\",\n \"def usagestats_parse(dirpath):\\r\\n # Create database\\r\\n # TODO: change to an easier format, probably json.\\r\\n db, cursor = create_table()\\r\\n\\r\\n # Some vars for logging\\r\\n processed = 0\\r\\n err = 0\\r\\n\\r\\n # Iterate through the /usagestats/ directory and fetch all files\\r\\n for root, dirnames, filenames in os.walk(dirpath, topdown=True, onerror=None, followlinks=False):\\r\\n if 'daily' in root or 'weekly' in root or 'monthly' in root or 'yearly' in root:\\r\\n # Retrieve the folder name to save what the frequency of the usagestats were:\\r\\n frequency = root.split('/')[-1]\\r\\n for filename in filenames:\\r\\n # Check if filename is only numbers (which is an epoch time representation)\\r\\n if filename.isnumeric():\\r\\n try:\\r\\n tree = ET.parse(os.path.join(root, filename))\\r\\n except ET.ParseError:\\r\\n parse_file_with_protobuf(os.path.join(root, filename), db)\\r\\n continue\\r\\n\\r\\n # We have sucessfully parsed the usagestats xml.\\r\\n # So continue processing\\r\\n tree_root = tree.getroot()\\r\\n\\r\\n for elem in tree_root:\\r\\n parse_sub_elements(frequency, elem, filename, db)\\r\\n\\r\\n # query for reporting\\r\\n cursor.execute('''\\r\\n select \\r\\n usage_type,\\r\\n datetime(lastime/1000, 'UNIXEPOCH', 'localtime') as lasttimeactive,\\r\\n timeactive as time_Active_in_msecs,\\r\\n timeactive/1000 as timeactive_in_secs,\\r\\n case last_time_service_used WHEN '' THEN ''\\r\\n ELSE datetime(last_time_service_used/1000, 'UNIXEPOCH', 'localtime')\\r\\n end last_time_service_used,\\r\\n case last_time_visible WHEN '' THEN ''\\r\\n ELSE datetime(last_time_visible/1000, 'UNIXEPOCH', 'localtime') \\r\\n end last_time_visible,\\r\\n total_time_visible,\\r\\n app_launch_count,\\r\\n package,\\r\\n CASE types\\r\\n WHEN '1' THEN 'MOVE_TO_FOREGROUND'\\r\\n WHEN '2' THEN 'MOVE_TO_BACKGROUND'\\r\\n WHEN '5' THEN 'CONFIGURATION_CHANGE'\\r\\n WHEN '7' THEN 'USER_INTERACTION'\\r\\n WHEN '8' THEN 'SHORTCUT_INVOCATION'\\r\\n ELSE types\\r\\n END types,\\r\\n classs,\\r\\n source,\\r\\n fullatt\\r\\n from data\\r\\n order by lasttimeactive DESC\\r\\n ''')\\r\\n all_rows = cursor.fetchall()\\r\\n\\r\\n # HTML report section\\r\\n h = open('./Report.html', 'w')\\r\\n h.write('<html><body>')\\r\\n h.write('<h2>Android Usagestats report (Dates are localtime!)</h2>')\\r\\n h.write('<style> table, th, td {border: 1px solid black; border-collapse: collapse;}</style>')\\r\\n h.write('<br />')\\r\\n\\r\\n # HTML headers\\r\\n h.write('<table>')\\r\\n h.write('<tr>')\\r\\n h.write('<th>Usage Type</th>')\\r\\n h.write('<th>Last Time Active</th>')\\r\\n h.write('<th>Time Active in Msecs</th>')\\r\\n h.write('<th>Time Active in Secs</th>')\\r\\n h.write('<th>Last Time Service Used</th>')\\r\\n h.write('<th>Last Time Visible</th>')\\r\\n h.write('<th>Total Time Visible</th>')\\r\\n h.write('<th>App Launch Count</th>')\\r\\n h.write('<th>Package</th>')\\r\\n h.write('<th>Types</th>')\\r\\n h.write('<th>Class</th>')\\r\\n h.write('<th>Source</th>')\\r\\n h.write('</tr>')\\r\\n\\r\\n for row in all_rows:\\r\\n usage_type = row[0]\\r\\n lasttimeactive = row[1]\\r\\n time_Active_in_msecs = row[2]\\r\\n timeactive_in_secs = row[3]\\r\\n last_time_service_used = row[4]\\r\\n last_time_visible = row[5]\\r\\n total_time_visible = row[6]\\r\\n app_launch_count = row[7]\\r\\n package = row[8]\\r\\n types = row[9]\\r\\n classs = row[10]\\r\\n source = row[11]\\r\\n\\r\\n processed = processed + 1\\r\\n # report data\\r\\n h.write('<tr>')\\r\\n h.write('<td>' + str(usage_type) + '</td>')\\r\\n h.write('<td>' + str(lasttimeactive) + '</td>')\\r\\n h.write('<td>' + str(time_Active_in_msecs) + '</td>')\\r\\n h.write('<td>' + str(timeactive_in_secs) + '</td>')\\r\\n h.write('<td>' + str(last_time_service_used) + '</td>')\\r\\n h.write('<td>' + str(last_time_visible) + '</td>')\\r\\n h.write('<td>' + str(total_time_visible) + '</td>')\\r\\n h.write('<td>' + str(app_launch_count) + '</td>')\\r\\n h.write('<td>' + str(package) + '</td>')\\r\\n h.write('<td>' + str(types) + '</td>')\\r\\n h.write('<td>' + str(classs) + '</td>')\\r\\n h.write('<td>' + str(source) + '</td>')\\r\\n h.write('</tr>')\\r\\n\\r\\n # HTML footer\\r\\n h.write('<table>')\\r\\n h.write('<br />')\\r\\n\\r\\n print('')\\r\\n print('Records processed: ' + str(processed))\\r\\n print('Triage report completed. See Reports.html.')\",\n \"def avail(self):\\n\\n return os.listdir(self.datadir)\",\n \"def checkSumWalk(top=\\\".\\\", func=checkSumHelper):\\n values = []\\n os.path.walk( top, checkSumHelper, values )\\n return sum(values)\",\n \"def MainStats(path, filetype, NrExp, col, start, stop):\\n# path= path.split('/') # here is better to google and see what is going on. Or experiment alone\\n# path= \\\"/\\\".join(path[:-1]) \\n dato=ExtractData_raw_files(path, filetype)\\n dBase=dato.createDictBase()\\n stats = Stats(dBase, NrExp, col, start, stop)\\n means, stds=stats.Means_Stds()\\n times = stats.time_return()\\n return means , stds, times\",\n \"def _get_filepaths(self):\\n self._printer(str(self.__len__()) + \\\" file paths have been parsed in \\\" + str(self.timer.end))\\n if self._hash_files:\\n return pool_hash(self.filepaths)\\n else:\\n return self.filepaths\",\n \"def totalFiles(pathCopyData, pathNetCDF, dateInit, dateFinal):\\n dateInit = datetime.strptime(dateInit, '%Y-%m-%d')\\n dateFinal = datetime.strptime(dateFinal, '%Y-%m-%d')\\n dirr = pathCopyData\\n dirr2 = pathNetCDF\\n #name = 'wrfout_c1h_d01_\\\\d\\\\d\\\\d\\\\d-\\\\d\\\\d-\\\\d\\\\d_00:00:00.\\\\d\\\\d\\\\d\\\\d.nc'\\n name = 'wrfout_c1h_d01_\\\\d\\\\d\\\\d\\\\d-\\\\d\\\\d-\\\\d\\\\d_00:00:00.a\\\\d\\\\d\\\\d\\\\d'\\n date = '\\\\d\\\\d\\\\d\\\\d-\\\\d\\\\d-\\\\d\\\\d'\\n fil = []\\n ba = []\\n patron2 = re.compile(date)\\n patron = re.compile(name + '.*')\\n for base, dirs, files in os.walk(dirr2, topdown=True):\\n for value in files:\\n if patron.match(value) != None:\\n f = patron2.findall(value)\\n dateNetCDF = datetime.strptime(f[0], '%Y-%m-%d')\\n if (dateNetCDF < dateFinal) & (dateNetCDF > dateInit):\\n fil.append(value)\\n ba.append(base)\\n fdata = df.DataFrame(fil, columns=['nameFile'])\\n fbase = df.DataFrame(ba, columns=['nameBase'])\\n fdata.to_csv(dirr + 'tfile.txt', encoding='utf-8', index=False)\\n fbase.to_csv(dirr + 'tbase.txt', encoding='utf-8', index=False)\",\n \"def totalfiles(self):\\n return len([sz for sz in self.iterate()])\",\n \"def lsinfo(path):\",\n \"def enumerate():\\n names = [f for f in os.listdir(_INPUT_ROOT) if not\\n os.path.isdir(os.path.join(_INPUT_ROOT, f))]\\n return sorted(names)\",\n \"def test_scan_dir_files(self):\\n self.run_scan(self.subdir, self.nest_fcount + 1)\",\n \"def _find_files(directory, dirs_to_look_in, files_to_search_for, \\n current_dir, see_files):\\n full_name = True\\n if see_files:\\n full_name = False\\n files_to_load = search_directory(directory, \\n look_in=dirs_to_look_in,\\n search_for=files_to_search_for,\\n file_type='files',\\n current_dir=current_dir,\\n full_name=full_name)\\n if not files_to_load:\\n raise UserWarning('No files were found matching the search for %s'\\\\\\n ' in the directory(s) %s%s' \\\\\\n % (files_to_search_for, directory, \\n dirs_to_look_in))\\n return files_to_load\",\n \"def findFiles(self):\\n\\n with open('analysis_result/firmwalkerOutput.txt', 'r') as firmwalker:\\n for line in firmwalker:\\n if line.startswith('##################################### ssh'):\\n self.ssh = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### dropbear'):\\n self.dropbear = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### busybox'):\\n self.busyBox = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### telnet'):\\n self.telnet = next(firmwalker).strip('d/').strip('\\\\n')\\n elif line.startswith('##################################### openssl'):\\n self.openssl = next(firmwalker).strip('d/').strip('\\\\n')\",\n \"def missing_in_gn_by_file(self):\\n return self._missing_gn_files\",\n \"def find_all_infilepaths(in_dir):\\n workdir = os.getcwd()\\n os.chdir(in_dir)\\n\\n infiles_paths = dict()\\n for infilename in glob.glob(\\\"[0-9]*_[0-9]*_[0-9]*.hdf5\\\"):\\n pos = infilename.split('_')\\n pos[-1] = pos[-1].split('.')[0]\\n pos = tuple(list(map(lambda s: int(s), pos)))\\n num_pos = _3d_to_numeric\\n infiles_paths[num_pos] = os.path.join(in_dir, infilename)\\n\\n os.chdir(workdir)\\n return infiles_paths\",\n \"def dataStats(reportsDir = \\\"./reports/\\\"):\\n legMulti = glob.glob(reportsDir+\\\"/leg/*.json\\\")\\n legOne = glob.glob(reportsDir+\\\"/leg/oneproc/*.json\\\")\\n legBroken = glob.glob(reportsDir+\\\"/leg/broken/*.json\\\")\\n \\n malMulti = glob.glob(reportsDir+\\\"/mal/*.json\\\")\\n malOne = glob.glob(reportsDir+\\\"/mal/oneproc/*.json\\\")\\n malBroken = glob.glob(reportsDir+\\\"/mal/broken/*.json\\\")\\n \\n print(\\\"\\\"\\\"Legal files:\\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \\\"\\\"\\\"\\n .format(len(legBroken+legMulti+legOne), len(legOne), len(legMulti), len(legBroken)))\\n print(\\\"\\\"\\\"Malicious files:\\n Total: {0}, One-proc: {1}, Multi-proc: {2}, Broken: {3} \\\"\\\"\\\"\\n .format(len(malBroken+malMulti+malOne), len(malOne), len(malMulti), len(malBroken)))\\n print(\\\"Working samples: {0}\\\".format(len(malMulti+malOne+legMulti+legOne)))\",\n \"def dirsize(self):\\n total = 0\\n for p in self.select_file(recursive=True):\\n try:\\n total += p.size\\n except: # pragma: no cover\\n print(\\\"Unable to get file size of: %s\\\" % p)\\n return total\",\n \"def list_sources(config, base_dir, verbose=False):\\n for source in config.sources_under(abspath(base_dir)):\\n if verbose:\\n print(\\\"# %s (%s)\\\" % (source.nicedir, ' '.join(source.info)))\\n else:\\n print(source.nicedir)\",\n \"def count_total_line():\\n count = 0\\n file_count = 0\\n for filename in os.listdir('.'):\\n if filename.endswith(\\\".json\\\"):\\n file_count += 1\\n with open(filename, 'r', encoding='utf8') as f:\\n for line in f:\\n count += 1\\n print(\\\"There are {0} lines in {1} json files\\\".format(count, file_count))\",\n \"def _local_dir(self):\\n return []\",\n \"def check_init_files_and_folders():\\n\\t#['cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', 'cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', 'color_detect_2.py', 'dedupe.py', 'detect_image_group_ku.py', 'detect_shape_5.py', 'get_cam_id_2.py', 'get_image_8.py', 'gui_hsv.py', 'knaps.py', 'knapsack_2.py', 'maps.html', 'program_detect_rectangle.zip', 'start_capture.py']\\n\\tfile_list=[\\n\\t#'cascade_wimb_bus_front_100_stages_1000_pos_3000_neg.xml', \\n\\t'models/cascade_wimb_bus_front_33_stages_1000_pos_3000_neg_wrong.xml', \\n\\t#'color_detect_2.py', \\n\\t#'dedupe.py', \\n\\t'detect_bus_haar_group.py', \\n\\t#'detect_shape_5.py', \\n\\t'get_cam_detail.py', \\n\\t'get_image.py', \\n\\t#'gui_hsv.py', \\n\\t#'knaps.py', \\n\\t#'knapsack_2.py', \\n\\t#'maps.html', \\n\\t#'program_detect_rectangle.zip', \\n\\t'start_wimb.py',\\n\\t'g.php',\\n\\t]\\n\\tdirectory_list=[\\n\\t'images',\\n\\t'images_bgs',\\n\\t'images_bgs_mask',\\n\\t#'images_bgs_result',\\n\\t'images_color',\\n\\t'images_haar',\\n\\t'images_haar_result',\\n\\t'images_number',\\n\\t'images_number_result',\\n\\t'models',\\n\\t'images_old',\\n\\t'text_number',\\n\\t]\\n\\t\\n\\tfor file_name in file_list: print 'file '+file_name+' existed: '+str(os.path.isfile(file_name))\\n\\tfor directory_name in directory_list: \\n\\t\\tprint 'directory '+directory_name+' existed: '+str(os.path.isdir(directory_name))\\n\\t\\tif not os.path.isdir(directory_name): \\n\\t\\t\\tos.makedirs(directory_name)\\n\\t\\tif \\\"images\\\" in directory_name: shutil.copy(path+'/g.php',path+'/'+directory_name+'/g.php')\",\n \"def get_num_samples(org_dir, file_names):\\n count = 0\\n # Loop through the files, which then loop through the trees\\n for filename in file_names:\\n # Skip files that are not .mrg\\n if not filename.endswith('.mrg'):\\n continue\\n # File is .mrg. Start processing\\n file_dir = os.path.join(org_dir, filename)\\n with open(file_dir, 'r', encoding='utf-8') as reader:\\n content = reader.readlines()\\n for _ in content:\\n count += 1\\n\\n return count\",\n \"def _get_total_games(self) -> int:\\n files = get_tfr_filenames(self.config)\\n total_games = 0\\n for file in files:\\n total_games += int(str(file).split('-')[1].split('.')[0])\\n return total_games\",\n \"def _discover_in_dir(self, dir_path: str) -> Optional[str]:\\n for this_file in os.listdir(dir_path):\\n if this_file.endswith('.esvi'):\\n return os.path.join(dir_path, this_file)\\n\\n return None\",\n \"def all_loci():\\n for fname in listdir(join(DATA_PATH, 'loci')):\\n try:\\n yield fetch_locus(fname)\\n except Exception as e:\\n print(f'{repr(e)} fetching {fname}')\",\n \"def list_dir(self, path):\",\n \"def n_file(self):\\n self.assert_is_dir_and_exists()\\n n = 0\\n for _ in self.select_file(recursive=True):\\n n += 1\\n return n\",\n \"def find_vasp_calculations():\\n dir_list = [\\n \\\"./\\\" + re.sub(r\\\"vasprun\\\\.xml\\\", \\\"\\\", path)\\n for path in glob.iglob(\\\"**/vasprun.xml\\\", recursive=True)\\n ]\\n gz_dir_list = [\\n \\\"./\\\" + re.sub(r\\\"vasprun\\\\.xml\\\\.gz\\\", \\\"\\\", path)\\n for path in glob.iglob(\\\"**/vasprun.xml.gz\\\", recursive=True)\\n ]\\n return dir_list + gz_dir_list\",\n \"def findMayaFiles(directory):\\n\\n pass\",\n \"def __calculate_current_row(self):\\n last_data_file = None\\n location = os.listdir(self.path)\\n #Remove non-data files from our list of dirs.\\n location = [element for element in location if 'data' in element]\\n #Sort as integers so we get them in the right order.\\n location = sorted(location, key=lambda x: int(x.split('.')[0].split('_')[1]), reverse = True)\\n for f in location:\\n if f[0:4] == 'data':\\n last_line = None\\n with open(self.path + '/' + f, 'r') as f:\\n for line in f:\\n if len(line) > 1:\\n last_line = line\\n if last_line:\\n return json.loads(line)['row_id']\\n\\n return 0\",\n \"def _rnlst(self, path, filelist):\\n path = self._cleanpath(path)\\n dirdict = self.parsedir(path)\\n print(dirdict)\\n \\n trycwds = dirdict.get('trycwds', [])\\n names = dirdict.get('names', [])\\n \\n for trycwd, name in zip(trycwds, names): \\n if trycwd: # name is a directory\\n self._rnlst(self.remotepathsep.join([path, name]), filelist)\\n else: \\n filelist.append(self.remotepathsep.join([path, name]))\\n \\n return filelist\",\n \"def find_all_files(self):\\n look4files = [ f for f in listdir(self.file_location) if isfile(join(self.file_location,f)) ]\\n return look4files\",\n \"def import_directory(self, directory):\\n files_list = sys_utils.get_files_from_directory(directory)\\n if files_list == None:\\n return None, 0\\n oids = []\\n num_new_files = 0\\n p = progress.progress(len(files_list))\\n for file_location in files_list:\\n oid, new_file = self.import_file(file_location)\\n p.tick()\\n if oid:\\n oids.append(oid)\\n if new_file:\\n num_new_files += 1\\n oids = list(set(oids)) # assert uniqueness \\n return oids, num_new_files\",\n \"def _get_files(self):\\n # pylint: disable=unused-variable\\n for dirpath, __, filenames in os.walk(self.start_location):\\n for file_ in filenames:\\n if file_.endswith('.py'):\\n yield \\\"{0}{1}\\\".format(dirpath, file_)\",\n \"def _get_base_files(self):\\n setup_file = path.join(self.PyCogentDirectory, 'setup.py')\\n #reqs_file = path.join(self.PyCogentDirectory, 'cogent-requirements.txt')\\n #return [(setup_file, 'Python'), (reqs_file, 'Properties')]\\n return [(setup_file, 'Python')]\",\n \"def get_nb_files(directory):\\r\\n if not os.path.exists(directory):\\r\\n return 0\\r\\n cnt = 0\\r\\n for r, dirs, files in os.walk(directory):\\r\\n for dr in dirs:\\r\\n cnt += len(glob.glob(os.path.join(r, dr + \\\"/*\\\"))) # glob模块是用来查找匹配文件的，后面接匹配规则。\\r\\n return cnt\",\n \"def file_stat(self, file_path):\",\n \"def main():\\n results = []\\n results.extend(check_mounts())\\n results.extend(diskusage())\\n return results\",\n \"def get_number_of_files(directory: str):\\n\\n number_of_files = len([item for item in os.listdir(directory) if os.path.isfile(os.path.join(directory, item))])\\n print(number_of_files)\\n return number_of_files\",\n \"def getNFiles(self, config, base, logger=None):\\n if 'nfiles' in config:\\n return galsim.config.ParseValue(config, 'nfiles', base, int)[0]\\n else:\\n return 189\",\n \"def get_info(self):\\n if os.path.isfile(self.path):\\n total_size = os.path.getsize(self.path)\\n total_files = 1\\n elif os.path.exists(self.path):\\n total_size = 0\\n total_files = 0\\n for x in os.walk(self.path):\\n for fn in x[2]:\\n fpath = os.path.normpath(os.path.join(x[0], fn))\\n rel_path = os.path.relpath(fpath, self.path)\\n if any(fnmatch.fnmatch(rel_path, ext) for ext in self.exclude):\\n continue\\n fsize = os.path.getsize(fpath)\\n if fsize and not is_hidden_file(fpath):\\n total_size += fsize\\n total_files += 1\\n else:\\n raise exceptions.InvalidInputException\\n if not (total_files and total_size):\\n raise exceptions.EmptyInputException\\n if self.piece_size:\\n ps = self.piece_size\\n else:\\n ps = 1 << max(0, math.ceil(math.log(total_size / 1500, 2)))\\n if ps < MIN_PIECE_SIZE:\\n ps = MIN_PIECE_SIZE\\n if ps > MAX_PIECE_SIZE:\\n ps = MAX_PIECE_SIZE\\n return (total_size, total_files, ps, math.ceil(total_size / ps))\",\n \"def get_testing_data(self):\\n\\n print 'Loading testing data ', self.test_folder , '...'\\n test_text = []\\n cnt = 0\\n\\n for f in listdir(self.test_folder):\\n file_path = join(self.test_folder, f)\\n if isfile(file_path):\\n cnt += 1\\n if cnt % 10000 == 0:\\n print 'finished:', cnt # line counter\\n self.test_index.append(f[:-4])\\n with open(file_path, 'rb') as f:\\n test_text.append( f.read() )\\n\\n return test_text\",\n \"def perform_calculations():\\n # contains the result of the total repositories\\n result = [] \\n count_all_lines = 0 # mainatains the line that has been counted\\n for_loops_list = []\\n func_parameters = [] # function parameter checks list\\n no_of_variables = set() # a set containing variables\\n docs_comments = [] \\n single_line_comments = []\\n code_duplication = 0\\n repo_imports_set = set() # imports for the entire repo\\n current_repo = ''\\n for item in traverse_repos():\\n current_repo = item['repo_url']\\n for path in item['files']:\\n with open(path, 'r') as file_:\\n lines = file_.readlines()\\n # call code duplication\\n code_duplication += code_duplication_check(lines)\\n for line in lines:\\n if re.match(r'^#.+', line.strip()):\\n single_line_comments.append(line.strip())\\n # this makes it possible to campare later\\n # call find_repo_imports\\n line_import = find_repo_imports(line)\\n \\n repo_imports_set.add(line_import)\\n # call countlines of code function\\n count_all_lines += count_lines_of_code(line.strip())\\n # call find_for_loops\\n for_loops = find_for_loops(line)\\n if for_loops:\\n for_loops_list.append(for_loops)\\n function = avarage_parameters(line)\\n if function:\\n func_parameters.append(avarage_parameters(line))\\n no_of_variables.add(avarage_variables_per_line(line))\\n\\n with open(path, 'r') as content_file:\\n content = content_file.read()\\n docs_comments.extend(find_docstrings_and_comments(content, single_line_comments))\\n \\n \\n\\n external_packages = find_external_packages(repo_imports_set)\\n repo_lines_of_codes = count_all_lines - len(docs_comments)\\n avarage_variables_repo = (len(no_of_variables)-1) / repo_lines_of_codes\\n nesting = nesting_depth(for_loops_list) / len(for_loops_list)\\n avarage_params = sum(func_parameters) / len(func_parameters)\\n repo_result = {\\n 'repository_url': current_repo, \\n 'number of lines': repo_lines_of_codes, \\n 'libraries': external_packages,\\n 'nesting factor': nesting,\\n 'code duplication': code_duplication,\\n 'average parameters': avarage_params,\\n 'average variables': avarage_variables_repo\\n \\n }\\n result.append(repo_result)\\n\\n return result\",\n \"def summarize(path: str) -> dict:\\n results = parse_bactopia_directory(path)\",\n \"def read_file_names(self):\\n files_BIDMC = os.listdir(self.root_dir_BIDMC)\\n masks_BIDMC = os.listdir(self.seg_dir_BIDMC)\\n files_HK = os.listdir(self.root_dir_HK)\\n masks_HK = os.listdir(self.seg_dir_HK)\\n files_I2CVB = os.listdir(self.root_dir_I2CVB)\\n masks_I2CVB = os.listdir(self.seg_dir_I2CVB)\\n files_ISBI = os.listdir(self.root_dir_ISBI)\\n masks_ISBI = os.listdir(self.seg_dir_ISBI)\\n files_ISBI_15 = os.listdir(self.root_dir_ISBI_15)\\n masks_ISBI_15 = os.listdir(self.seg_dir_ISBI_15)\\n files_UCL = os.listdir(self.root_dir_UCL)\\n masks_UCL = os.listdir(self.seg_dir_UCL)\\n site_files = [files_BIDMC, files_HK, files_I2CVB, files_ISBI, files_ISBI_15, files_UCL]\\n site_masks = [masks_BIDMC, masks_HK, masks_I2CVB, masks_ISBI, masks_ISBI_15, masks_UCL]\\n return site_files, site_masks\",\n \"def compute_code():\\n for file in os.listdir('./src/Templates'):\\n input.parse_template('./src/Templates/' + file, './student/' + file + '.py')\\n data = input.load_input()\\n return len([k for k in data['input'].keys() if '@' not in k])\",\n \"def lookup_ifproc_file(obsnum, path='/data_lmt/ifproc/', debug=False):\\n paths = [path]\\n\\n if 'ifproc' not in path:\\n paths += ['/data_lmt/ifproc/']\\n if 'lmtttpm' not in path:\\n paths += ['/data_lmt/lmttpm/']\\n if 'tel' not in path:\\n paths += ['/data_lmt/tel/']\\n\\n if debug:\\n print(paths)\\n\\n for path in paths:\\n filenames = glob.glob(os.path.join(path, '*_%06d_*.nc' % obsnum))\\n if len(filenames) > 0:\\n if debug:\\n print('found %s' % (filenames[0]))\\n return filenames[0]\\n return ''\\n #filename = ''\\n #for file in os.listdir(path):\\n # if fnmatch.fnmatch(file,'*_%06d_*.nc'%(obsnum)):\\n # print('found %s'%(file))\\n # filename = path+file\\n #if filename == '':\\n #print('lookup_ifproc_file: no file for obsnum ', obsnum)\\n #if 'lmttpm' not in path:\\n # print('look in lmttpm')\\n # return lookup_ifproc_file(obsnum,path='/data_lmt/lmttpm/')\\n #return(filename)\",\n \"def calculate(d):\\r\\n\\r\\n # Set correct slashes for the OS\\r\\n if sys.platform == 'windows':\\r\\n slash = '\\\\\\\\'\\r\\n elif sys.platform == 'linux':\\r\\n slash = '/'\\r\\n else:\\r\\n print('#Error. Unknown platform.')\\r\\n return\\r\\n\\r\\n print('Files in the current directory and their md5-hashes:\\\\n')\\r\\n i = 0\\r\\n assert i == 0, '#Error. Variable i != 0.'\\r\\n\\r\\n for i in range(len(d[2])): # Go through the list of files\\r\\n full_path = d[0]+slash+d[2][i]\\r\\n print(full_path) # Get the list of files with full paths\\r\\n print(md5(full_path))\\r\\n size(full_path)\",\n \"def find_data(self):\\n data_list = []\\n for root, dirs, files in os.walk(pathfinder.data_path()):\\n for name in files:\\n data_list.append(os.path.join(root, name))\\n return data_list\",\n \"def count_files_dir(self,full_path):\\n try:\\n num_files = len([name for name in os.listdir(full_path) if os.path.isfile(self.FILENAME)])\\n print(f\\\"Number of files in {full_path} is {num_files}\\\")\\n return num_files\\n except Exception as e:\\n raise SystemExit(f\\\"Could not complete operation: {e}\\\")\",\n \"def read_inputs(self):\\n curdir = os.getcwd()\\n os.chdir(self.fst_dir)\\n rstat = self.readFST()\\n if rstat == 0:\\n os.chdir(curdir)\\n return 0\\n # the names of the next files are either set by caller or come from the reading the FAST file\\n rstat = self.readNoise()\\n rstat = self.readAD()\\n rstat = self.readBlade()\\n rstat = self.readPtfm()\\n os.chdir(curdir)\",\n \"def getAllVCFs(inputFolder):\\n listOfFiles = []\\n numErrors = 0\\n for folder in os.listdir(inputFolder): #Loop through all folders\\n # print(folder)\\n try: # using a try-xcept block to avoid errors with other files \\n # not following this structure\\n # TODO: make this cleaner\\n vcfLoc = os.path.join(inputFolder, os.path.join(folder, \\\"pilon/\\\"))\\n # print(vcfLoc)\\n for potentialFile in os.listdir(vcfLoc):\\n # print(potentialFile)\\n if(potentialFile.endswith(\\\".vcf.gz\\\")):\\n listOfFiles.append(os.path.join(vcfLoc, potentialFile))\\n except:\\n # print(\\\"error at \\\" + folder)\\n numErrors += 1\\n print(numErrors)\\n return listOfFiles\",\n \"def _checkpoint_numbers(cls, checkpoints_dir):\\n dirs = [d for d in listdir(checkpoints_dir) if d.endswith('.checkpoint')]\\n return sorted([int(d[:-11]) for d in dirs])\",\n \"def get_amount_by_file(path):\\n if os.stat(path).st_size == 0:\\n raise Exception\\n with open(path, 'r') as file:\\n items = file.read().split(',')\\n total = reduce(lambda x, y: int(x) + int(y), items)\\n return total\",\n \"def readNSRelaxFiles(folder_path):\\n\\n run_arr = []\\n Nrun_arr = []\\n dod_arr = []\\n crate_arr = []\\n count=0\\n\\n # find number of files that starts with run\\n # (this is the data file we want to read)\\n for file in os.listdir(folder_path):\\n if file.startswith(\\\"relaxrun\\\"):\\n count+=1\\n\\n # order the data files by run number, so we get descending crates\\n Nrun=1\\n for i in range(count+5):\\n for file in os.listdir(folder_path):\\n if file.startswith(\\\"relaxrun_\\\"+str(Nrun)+\\\"_\\\"):\\n run_arr.append(file)\\n dod = re.search('dod=(.*).txt', file).group(1)\\n crate = re.search('Crate=(.*)_',file).group(1)\\n Nrun_arr.append(np.round(int(Nrun),decimals=0))\\n dod_arr.append(float(dod))\\n crate_arr.append(float(crate))\\n Nrun+=1\\n print(len(run_arr))\\n\\n return run_arr, Nrun_arr, dod_arr, crate_arr\",\n \"def _determine_local_import_names(start_dir):\\n file_ext_pairs = [os.path.splitext(path) for path in os.listdir(start_dir)]\\n return [\\n basename\\n for basename, extension\\n in file_ext_pairs\\n if extension == '.py' or os.path.isdir(\\n os.path.join(start_dir, basename))\\n and basename not in ('__pycache__')]\",\n \"def get_results_labels(dir_path):\\n dx = 0\\n directories = [dI for dI in os.listdir(dir_path)\\n if os.path.isdir(os.path.join(dir_path, dI))]\\n results = []\\n\\n for directory in directories:\\n # collect the path to all results files\\n path = os.path.join(dir_path, directory)\\n files = [os.path.join(path, f) for f in os.listdir(path)\\n if os.path.isfile(os.path.join(path, f))\\n and 'results' in f]\\n\\n # if the directory does not have results files, move on to the next\\n if len(files) == 0:\\n continue\\n\\n # collect the average cumulative returns per training iteration\\n res = []\\n lengths = []\\n for i, f in enumerate(files):\\n data = pd.read_csv(f)\\n if i == 0:\\n dx = data['total/steps'][2] - data['total/steps'][1]\\n res.append(data['rollout/return_history'])\\n lengths.append(len(data['rollout/return_history']))\\n\\n res = [[r[:min(lengths)]] for r in res]\\n results.append(np.concatenate(res, axis=0))\\n\\n return results, directories, dx\",\n \"def get_python_files(all_files=None):\\n if all_files is None:\\n all_files = ci_diff_helper.get_checked_in_files()\\n\\n production_files = []\\n test_files = []\\n for filename in all_files:\\n if not valid_filename(filename):\\n continue\\n if is_test_filename(filename):\\n test_files.append(filename)\\n else:\\n production_files.append(filename)\\n\\n return production_files, test_files\",\n \"def reportinfo(self):\\n return super().reportinfo()[:2] + (self.fspath.relto(os.getcwd()),)\",\n \"def count_dirs_and_files(directory='.'):\\n pass\",\n \"def ttl_files_in_dir(dir_path, pat='.'):\\n if not path.isdir(dir_path):\\n raise NotADirectoryError\\n\\n # In a subprocess, count list the files in the dir and count them, convert output to an int\\n ttl = int(check_output('ls -A -U --color=never {} | grep {} | wc -l'.format(dir_path, pat), shell=True).strip())\\n\\n return ttl\",\n \"def count(train_dir):\\r\\n path = train_dir\\r\\n count = 0\\r\\n for fn in os.listdir(path): #fn 表示的是文件名\\r\\n count = count + 1\\r\\n return count\",\n \"def total_number():\\r\\n total_number = 0\\r\\n file_read = read_file()\\r\\n for key in file_read:\\r\\n total_number = total_number + len(file_read[key])\\r\\n return total_number\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6993405","0.6395879","0.614925","0.5898231","0.57934844","0.5683392","0.56749487","0.56739736","0.56560665","0.559616","0.55468976","0.5527279","0.55094504","0.5491219","0.54559195","0.5373519","0.5360052","0.53304","0.5296416","0.5291369","0.5234145","0.52289695","0.52206385","0.51996464","0.51954573","0.5185844","0.51648813","0.5164462","0.5134597","0.512213","0.51164156","0.5109861","0.5107807","0.5084028","0.5082196","0.5081326","0.5079591","0.5077953","0.50771743","0.5071418","0.50705975","0.50595474","0.5058926","0.505754","0.50533324","0.50512177","0.5047785","0.50470525","0.5042362","0.5040497","0.5040322","0.5037387","0.50322455","0.50297064","0.50276005","0.500657","0.50051033","0.5001271","0.49973717","0.4996412","0.4988866","0.49884328","0.49881095","0.4988084","0.4985919","0.4985775","0.49802762","0.49781474","0.49727693","0.49710363","0.4970427","0.4967399","0.49543992","0.49536684","0.49421307","0.49418175","0.4932748","0.49326763","0.4925025","0.4924283","0.49241623","0.4922814","0.49208128","0.49176306","0.49172363","0.49107918","0.4906243","0.49041766","0.49032098","0.4887595","0.4887065","0.4885747","0.48812976","0.48807985","0.48778835","0.48746076","0.4872828","0.48676902","0.4861506","0.48572385","0.4850339"],"string":"[\n \"0.6993405\",\n \"0.6395879\",\n \"0.614925\",\n \"0.5898231\",\n \"0.57934844\",\n \"0.5683392\",\n \"0.56749487\",\n \"0.56739736\",\n \"0.56560665\",\n \"0.559616\",\n \"0.55468976\",\n \"0.5527279\",\n \"0.55094504\",\n \"0.5491219\",\n \"0.54559195\",\n \"0.5373519\",\n \"0.5360052\",\n \"0.53304\",\n \"0.5296416\",\n \"0.5291369\",\n \"0.5234145\",\n \"0.52289695\",\n \"0.52206385\",\n \"0.51996464\",\n \"0.51954573\",\n \"0.5185844\",\n \"0.51648813\",\n \"0.5164462\",\n \"0.5134597\",\n \"0.512213\",\n \"0.51164156\",\n \"0.5109861\",\n \"0.5107807\",\n \"0.5084028\",\n \"0.5082196\",\n \"0.5081326\",\n \"0.5079591\",\n \"0.5077953\",\n \"0.50771743\",\n \"0.5071418\",\n \"0.50705975\",\n \"0.50595474\",\n \"0.5058926\",\n \"0.505754\",\n \"0.50533324\",\n \"0.50512177\",\n \"0.5047785\",\n \"0.50470525\",\n \"0.5042362\",\n \"0.5040497\",\n \"0.5040322\",\n \"0.5037387\",\n \"0.50322455\",\n \"0.50297064\",\n \"0.50276005\",\n \"0.500657\",\n \"0.50051033\",\n \"0.5001271\",\n \"0.49973717\",\n \"0.4996412\",\n \"0.4988866\",\n \"0.49884328\",\n \"0.49881095\",\n \"0.4988084\",\n \"0.4985919\",\n \"0.4985775\",\n \"0.49802762\",\n \"0.49781474\",\n \"0.49727693\",\n \"0.49710363\",\n \"0.4970427\",\n \"0.4967399\",\n \"0.49543992\",\n \"0.49536684\",\n \"0.49421307\",\n \"0.49418175\",\n \"0.4932748\",\n \"0.49326763\",\n \"0.4925025\",\n \"0.4924283\",\n \"0.49241623\",\n \"0.4922814\",\n \"0.49208128\",\n \"0.49176306\",\n \"0.49172363\",\n \"0.49107918\",\n \"0.4906243\",\n \"0.49041766\",\n \"0.49032098\",\n \"0.4887595\",\n \"0.4887065\",\n \"0.4885747\",\n \"0.48812976\",\n \"0.48807985\",\n \"0.48778835\",\n \"0.48746076\",\n \"0.4872828\",\n \"0.48676902\",\n \"0.4861506\",\n \"0.48572385\",\n \"0.4850339\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4783,"cells":{"query":{"kind":"string","value":"Just return the version number"},"document":{"kind":"string","value":"def _sendVersion_result (self, (code, data)) :\n\n assert code == \"REPLY_HELLO\"\n\n return data"},"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 version_number() -> int:\n return 0","def get_version():\n return '%d.%d.%d' % version_info","def get_version():\n return 1","def get_version(self):\r\n\r\n return self.versions[0].number","def version(self):\n a = re.search('(?<=_V)\\d{1,2}', self.fname)\n if a is None:\n return None\n else:\n return int(a.group())","def version(self):\n _, body = self.request('/', 'GET')\n return body.get('version', None)","def get_version():\n return \"0.0.1 (prerelease prototype)\"","def get_version(self):\n return 0","def get_version():\n click.echo(get_current_version_number())","def _get_version(self):","def get_version(self) -> str:\n return versioning.get_version()","def get_version(self):\n pass","def getVersion(self):\n return self.get('Version', type=\"numeric\")","def get_version(self):\n return self.version","def get_version():\r\n return __version__","def version(self):\n return \"%d.%d\" % (self._vmajor, self._vminor)","def getversion():\r\n\r\n global VERSION\r\n\r\n if len(VERSION) == 3:\r\n return '{}.{}.{}'.format(VERSION[0], VERSION[1], VERSION[2])\r\n else:\r\n return '{}.{}.{}-{}'.format(VERSION[0], VERSION[1], VERSION[2], VERSION[3])","def get_version():\n return about.get_version()","def get_version(self):\n return self.__make_api_call('get/version')","def version(self):\n self.version_list[-1] = self.revision\n version = '.'.join(self.version_list)\n return version","def version_number(path: str) -> str:\n exp = r'__version__[ ]*=[ ]*[\"|\\']([\\d]+\\.[\\d]+\\.[\\d]+[\\.dev[\\d]*]?)[\"|\\']'\n version_re = re.compile(exp)\n\n with open(path, 'r') as fqe_version:\n version = version_re.search(fqe_version.read()).group(1)\n\n return version","def get_version():\n return __version__","def get_version():\n return __version__","def get_version():\n return __version__","def version(self):\n return self._get(\"version\")","def Version(self) -> _n_0_t_12:","def Version(self) -> _n_0_t_12:","def version():\n\n version = None\n output = gitopen(['--version'])\n m = re.search(br\" version ([\\d\\.A-Za-z]+)\", output)\n if m is not None:\n version = m.group(1).decode('utf-8')\n return version","def version(self) -> Union[int, str]:","def versionstring():\n return \"%i.%i.%i\" % __version__","def versionstring():\n return \"%i.%i.%i\" % __version__","def version(self) -> Optional[str]:\n return pulumi.get(self, \"version\")","def version(self) -> Optional[str]:\n return pulumi.get(self, \"version\")","def version(self) -> Optional[str]:\n return pulumi.get(self, \"version\")","def version(self) -> Optional[str]:\n return pulumi.get(self, \"version\")","def version(self) -> Optional[str]:\n return pulumi.get(self, \"version\")","def get_version(self):\n return self._version","def get_version(self):\n return self._version","def get_version() -> str:\n return __version__","def get_version_number():\n return [0, 1, 0]","def version():\n return __VERSION__","def getversion(self):\n return self.__version","def version():\n return '%d.%d' % (sys.version_info[0], sys.version_info[1])","def Hello(self):\n version = '1.5.3'\n print 'returned version number', version\n return version","def get_version(self, params):\n return self.version","def _get_version(self):\n if _cbc_version is None:\n return _extract_version('')\n return _cbc_version","def get_version():\n vers = [\"%(major)i.%(minor)i\" % __version_info__, ]\n\n if __version_info__['micro']:\n vers.append(\".%(micro)i\" % __version_info__)\n if __version_info__['releaselevel'] != 'final':\n vers.append('%(releaselevel)s' % __version_info__)\n return ''.join(vers)","def get_version():\n return '.'.join(map(str, VERSION))","def version(self):\r\n return self.version_guid","def version():\n return uname().version","def version():\n return uname().version","def version():\n\n pass","def getVersion():\n try:\n fh=open(version_py, 'r')\n version=fh.read().strip().split('=')[-1].replace(\"'\",'').lstrip()\n fh.close()\n except:\n return None\n\n return version","def version():\n\n print(VERSION_CODE)","def _GetVersion(version_str):\n return int(version_str.split('.')[1])","async def version(self):\n self.do(\"version\")\n return (await self.read(7)).strip()","def version(self):\n if not self._version:\n self._version = self._get_version()\n\n return self._version","def get_major_version(version):\n return str(check_version(version)[0])","def get_version():\n\n with open('u2fval/__init__.py', 'r') as f:\n match = VERSION_PATTERN.search(f.read())\n return match.group(1)","def version(self):\n self._get_latest_content()\n return self._data.get('version', None)","def get_version(self):\n article_url = self.env[\"article_url\"]\n title = self.get_html_title(article_url)\n regex = r\"(?:(\\d+)\\.)?(?:(\\d+)\\.)?(\\*|\\d+)\"\n match = re.search(regex, title)\n if match:\n version = match.group(0)\n self.output(\"Version: {version}\".format(version=match.group(0)), 2)\n return version\n else:\n raise ProcessorError(\"Unable to determine version.\")","def version_number(version_str):\n raise NotImplementedError","def get_version(self):\n return version.__version__","def get_version(self):\n return version.__version__","def get_version():\n return magpy.get_version()","def get_version(self):\n url = '{}/version'.format(self.url)\n try:\n r = requests.get(url)\n if r.status_code == 200:\n return r.json()['orionld version']\n except Exception as e:\n pass\n return ''","def default_version_number(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"default_version_number\")","def version(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"version\")","def version_min():\n return VERSION_MIN","def version(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"version\")","def version(self) -> str:\n return pulumi.get(self, \"version\")","def version(self) -> str:\n return pulumi.get(self, \"version\")","def version(self) -> str:\n return pulumi.get(self, \"version\")","def version(self) -> str:\n return pulumi.get(self, \"version\")","def current_version(self):\n try:\n return self.release_set.order_by('-created')[0].version\n except IndexError:\n return \"0.0.0\"","def version(self) -> int:\n return self._version","def do_version(self):\n return \"1.0.0\", True","def GetVersion(self):\n return self._SendRequest(HTTP_GET, \"/version\", None, None)","def get_version(self):\n url = '{}/v2/version'.format(self.url)\n try:\n r = requests.get(url)\n if r.status_code == 200:\n return r.json()['version']\n except Exception as e:\n pass\n return ''","def get_version_tag(self, version: str) -> str:\n return version","def get_version(self):\n url = '{}/version'.format(self.url)\n try:\n r = requests.get(url)\n if r.status_code == 200:\n return r.json()['version']\n except Exception as e:\n pass\n return ''","async def version(self) -> str:\n response = await self._request(\"status\")\n return response[\"version\"]","def get_revision(self):\n vers = self.send(\"?R\", recv=True)\n # Verify its a valid version\n # ? why was this commented out\n float(vers)\n # But return as string to avoid precision issues\n return vers","def get_version() -> str:\n version = read(\"pdf_utils/__version__.py\")\n return re.search(r\"__version__ = \\\"(.*?)\\\"\", version).group(1)","def get_uni_version(self):\n version, major_version = None, None\n response = self.get_resource(category=VERSION, no_version=True)\n if response and response.get('version'):\n version = response['version']\n version_list = version.split('.')\n major_version = version_list[0][1:] + version_list[1]\n return version, major_version","def build_version(self):\n return self.nodes[0].get('infos').get('system_info').get('system_version')","def get(self):\n return self._version","def version():\n cmd = \"{} -v\".format(_detect_os())\n out = __salt__[\"cmd.run\"](cmd).splitlines()\n ret = out[0].split(\": \")\n return ret[1]","def version(self):\n if \"version\" in self._prop_dict:\n return self._prop_dict[\"version\"]\n else:\n return None","def get_version(self):\n return self.cur_config['version']['name']","def getversion(): # 3\n res,resargs = _msk.Env.getversion()\n if res != 0:\n raise Error(rescode(res),\"\")\n _major_return_value,_minor_return_value,_build_return_value,_revision_return_value = resargs\n return _major_return_value,_minor_return_value,_build_return_value,_revision_return_value","def get_version_special(name):\n\n module = import_module(name)\n if module:\n return module.version.VERSION\n else:\n return \"NA\"","def get_version():\r\n return '.'.join((str(each) for each in VERSION[:3]))","def version(self):","def major_version(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"major_version\")","def version(self): # -> string\n try:\n return gtts.version.__version__\n except (AttributeError, NameError):\n self.ok = False\n return \"\"","def version(self) -> str:\n data = \"none yet\"\n if self.STARTED:\n data = (\n self.about.get(\"Version\")\n or self.about.get(\"Installed Version\")\n or \"DEMO\"\n )\n data = data.replace(\"_\", \".\")\n return data","def version_info():\r\n return tuple(map(int, __version__.split('.')))","def version_id(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"version_id\")","def get_version():\n\n with open('__init__.py') as f:\n for line in f.readlines():\n if '__version__' in line:\n apicem_version = line.strip().split(\"=\")[-1].strip(\" '\")\n if '__first_release_date__' in line:\n first_release_data_str = line.strip().split(\"=\")[-1].strip(\" '\")\n first_release_data = date(*[int(num) for num in first_release_data_str.split('.')])\n num_commits = get_cr_num(first_release_data)\n return '{apicem_version}.{num_commits}'.format(\n apicem_version=apicem_version, num_commits=num_commits)\n\n raise ValueError(\"could not read version\")","def get_version(self):\n return self.api_version"],"string":"[\n \"def version_number() -> int:\\n return 0\",\n \"def get_version():\\n return '%d.%d.%d' % version_info\",\n \"def get_version():\\n return 1\",\n \"def get_version(self):\\r\\n\\r\\n return self.versions[0].number\",\n \"def version(self):\\n a = re.search('(?<=_V)\\\\d{1,2}', self.fname)\\n if a is None:\\n return None\\n else:\\n return int(a.group())\",\n \"def version(self):\\n _, body = self.request('/', 'GET')\\n return body.get('version', None)\",\n \"def get_version():\\n return \\\"0.0.1 (prerelease prototype)\\\"\",\n \"def get_version(self):\\n return 0\",\n \"def get_version():\\n click.echo(get_current_version_number())\",\n \"def _get_version(self):\",\n \"def get_version(self) -> str:\\n return versioning.get_version()\",\n \"def get_version(self):\\n pass\",\n \"def getVersion(self):\\n return self.get('Version', type=\\\"numeric\\\")\",\n \"def get_version(self):\\n return self.version\",\n \"def get_version():\\r\\n return __version__\",\n \"def version(self):\\n return \\\"%d.%d\\\" % (self._vmajor, self._vminor)\",\n \"def getversion():\\r\\n\\r\\n global VERSION\\r\\n\\r\\n if len(VERSION) == 3:\\r\\n return '{}.{}.{}'.format(VERSION[0], VERSION[1], VERSION[2])\\r\\n else:\\r\\n return '{}.{}.{}-{}'.format(VERSION[0], VERSION[1], VERSION[2], VERSION[3])\",\n \"def get_version():\\n return about.get_version()\",\n \"def get_version(self):\\n return self.__make_api_call('get/version')\",\n \"def version(self):\\n self.version_list[-1] = self.revision\\n version = '.'.join(self.version_list)\\n return version\",\n \"def version_number(path: str) -> str:\\n exp = r'__version__[ ]*=[ ]*[\\\"|\\\\']([\\\\d]+\\\\.[\\\\d]+\\\\.[\\\\d]+[\\\\.dev[\\\\d]*]?)[\\\"|\\\\']'\\n version_re = re.compile(exp)\\n\\n with open(path, 'r') as fqe_version:\\n version = version_re.search(fqe_version.read()).group(1)\\n\\n return version\",\n \"def get_version():\\n return __version__\",\n \"def get_version():\\n return __version__\",\n \"def get_version():\\n return __version__\",\n \"def version(self):\\n return self._get(\\\"version\\\")\",\n \"def Version(self) -> _n_0_t_12:\",\n \"def Version(self) -> _n_0_t_12:\",\n \"def version():\\n\\n version = None\\n output = gitopen(['--version'])\\n m = re.search(br\\\" version ([\\\\d\\\\.A-Za-z]+)\\\", output)\\n if m is not None:\\n version = m.group(1).decode('utf-8')\\n return version\",\n \"def version(self) -> Union[int, str]:\",\n \"def versionstring():\\n return \\\"%i.%i.%i\\\" % __version__\",\n \"def versionstring():\\n return \\\"%i.%i.%i\\\" % __version__\",\n \"def version(self) -> Optional[str]:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> Optional[str]:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> Optional[str]:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> Optional[str]:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> Optional[str]:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def get_version(self):\\n return self._version\",\n \"def get_version(self):\\n return self._version\",\n \"def get_version() -> str:\\n return __version__\",\n \"def get_version_number():\\n return [0, 1, 0]\",\n \"def version():\\n return __VERSION__\",\n \"def getversion(self):\\n return self.__version\",\n \"def version():\\n return '%d.%d' % (sys.version_info[0], sys.version_info[1])\",\n \"def Hello(self):\\n version = '1.5.3'\\n print 'returned version number', version\\n return version\",\n \"def get_version(self, params):\\n return self.version\",\n \"def _get_version(self):\\n if _cbc_version is None:\\n return _extract_version('')\\n return _cbc_version\",\n \"def get_version():\\n vers = [\\\"%(major)i.%(minor)i\\\" % __version_info__, ]\\n\\n if __version_info__['micro']:\\n vers.append(\\\".%(micro)i\\\" % __version_info__)\\n if __version_info__['releaselevel'] != 'final':\\n vers.append('%(releaselevel)s' % __version_info__)\\n return ''.join(vers)\",\n \"def get_version():\\n return '.'.join(map(str, VERSION))\",\n \"def version(self):\\r\\n return self.version_guid\",\n \"def version():\\n return uname().version\",\n \"def version():\\n return uname().version\",\n \"def version():\\n\\n pass\",\n \"def getVersion():\\n try:\\n fh=open(version_py, 'r')\\n version=fh.read().strip().split('=')[-1].replace(\\\"'\\\",'').lstrip()\\n fh.close()\\n except:\\n return None\\n\\n return version\",\n \"def version():\\n\\n print(VERSION_CODE)\",\n \"def _GetVersion(version_str):\\n return int(version_str.split('.')[1])\",\n \"async def version(self):\\n self.do(\\\"version\\\")\\n return (await self.read(7)).strip()\",\n \"def version(self):\\n if not self._version:\\n self._version = self._get_version()\\n\\n return self._version\",\n \"def get_major_version(version):\\n return str(check_version(version)[0])\",\n \"def get_version():\\n\\n with open('u2fval/__init__.py', 'r') as f:\\n match = VERSION_PATTERN.search(f.read())\\n return match.group(1)\",\n \"def version(self):\\n self._get_latest_content()\\n return self._data.get('version', None)\",\n \"def get_version(self):\\n article_url = self.env[\\\"article_url\\\"]\\n title = self.get_html_title(article_url)\\n regex = r\\\"(?:(\\\\d+)\\\\.)?(?:(\\\\d+)\\\\.)?(\\\\*|\\\\d+)\\\"\\n match = re.search(regex, title)\\n if match:\\n version = match.group(0)\\n self.output(\\\"Version: {version}\\\".format(version=match.group(0)), 2)\\n return version\\n else:\\n raise ProcessorError(\\\"Unable to determine version.\\\")\",\n \"def version_number(version_str):\\n raise NotImplementedError\",\n \"def get_version(self):\\n return version.__version__\",\n \"def get_version(self):\\n return version.__version__\",\n \"def get_version():\\n return magpy.get_version()\",\n \"def get_version(self):\\n url = '{}/version'.format(self.url)\\n try:\\n r = requests.get(url)\\n if r.status_code == 200:\\n return r.json()['orionld version']\\n except Exception as e:\\n pass\\n return ''\",\n \"def default_version_number(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"default_version_number\\\")\",\n \"def version(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version_min():\\n return VERSION_MIN\",\n \"def version(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> str:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> str:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> str:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def version(self) -> str:\\n return pulumi.get(self, \\\"version\\\")\",\n \"def current_version(self):\\n try:\\n return self.release_set.order_by('-created')[0].version\\n except IndexError:\\n return \\\"0.0.0\\\"\",\n \"def version(self) -> int:\\n return self._version\",\n \"def do_version(self):\\n return \\\"1.0.0\\\", True\",\n \"def GetVersion(self):\\n return self._SendRequest(HTTP_GET, \\\"/version\\\", None, None)\",\n \"def get_version(self):\\n url = '{}/v2/version'.format(self.url)\\n try:\\n r = requests.get(url)\\n if r.status_code == 200:\\n return r.json()['version']\\n except Exception as e:\\n pass\\n return ''\",\n \"def get_version_tag(self, version: str) -> str:\\n return version\",\n \"def get_version(self):\\n url = '{}/version'.format(self.url)\\n try:\\n r = requests.get(url)\\n if r.status_code == 200:\\n return r.json()['version']\\n except Exception as e:\\n pass\\n return ''\",\n \"async def version(self) -> str:\\n response = await self._request(\\\"status\\\")\\n return response[\\\"version\\\"]\",\n \"def get_revision(self):\\n vers = self.send(\\\"?R\\\", recv=True)\\n # Verify its a valid version\\n # ? why was this commented out\\n float(vers)\\n # But return as string to avoid precision issues\\n return vers\",\n \"def get_version() -> str:\\n version = read(\\\"pdf_utils/__version__.py\\\")\\n return re.search(r\\\"__version__ = \\\\\\\"(.*?)\\\\\\\"\\\", version).group(1)\",\n \"def get_uni_version(self):\\n version, major_version = None, None\\n response = self.get_resource(category=VERSION, no_version=True)\\n if response and response.get('version'):\\n version = response['version']\\n version_list = version.split('.')\\n major_version = version_list[0][1:] + version_list[1]\\n return version, major_version\",\n \"def build_version(self):\\n return self.nodes[0].get('infos').get('system_info').get('system_version')\",\n \"def get(self):\\n return self._version\",\n \"def version():\\n cmd = \\\"{} -v\\\".format(_detect_os())\\n out = __salt__[\\\"cmd.run\\\"](cmd).splitlines()\\n ret = out[0].split(\\\": \\\")\\n return ret[1]\",\n \"def version(self):\\n if \\\"version\\\" in self._prop_dict:\\n return self._prop_dict[\\\"version\\\"]\\n else:\\n return None\",\n \"def get_version(self):\\n return self.cur_config['version']['name']\",\n \"def getversion(): # 3\\n res,resargs = _msk.Env.getversion()\\n if res != 0:\\n raise Error(rescode(res),\\\"\\\")\\n _major_return_value,_minor_return_value,_build_return_value,_revision_return_value = resargs\\n return _major_return_value,_minor_return_value,_build_return_value,_revision_return_value\",\n \"def get_version_special(name):\\n\\n module = import_module(name)\\n if module:\\n return module.version.VERSION\\n else:\\n return \\\"NA\\\"\",\n \"def get_version():\\r\\n return '.'.join((str(each) for each in VERSION[:3]))\",\n \"def version(self):\",\n \"def major_version(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"major_version\\\")\",\n \"def version(self): # -> string\\n try:\\n return gtts.version.__version__\\n except (AttributeError, NameError):\\n self.ok = False\\n return \\\"\\\"\",\n \"def version(self) -> str:\\n data = \\\"none yet\\\"\\n if self.STARTED:\\n data = (\\n self.about.get(\\\"Version\\\")\\n or self.about.get(\\\"Installed Version\\\")\\n or \\\"DEMO\\\"\\n )\\n data = data.replace(\\\"_\\\", \\\".\\\")\\n return data\",\n \"def version_info():\\r\\n return tuple(map(int, __version__.split('.')))\",\n \"def version_id(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"version_id\\\")\",\n \"def get_version():\\n\\n with open('__init__.py') as f:\\n for line in f.readlines():\\n if '__version__' in line:\\n apicem_version = line.strip().split(\\\"=\\\")[-1].strip(\\\" '\\\")\\n if '__first_release_date__' in line:\\n first_release_data_str = line.strip().split(\\\"=\\\")[-1].strip(\\\" '\\\")\\n first_release_data = date(*[int(num) for num in first_release_data_str.split('.')])\\n num_commits = get_cr_num(first_release_data)\\n return '{apicem_version}.{num_commits}'.format(\\n apicem_version=apicem_version, num_commits=num_commits)\\n\\n raise ValueError(\\\"could not read version\\\")\",\n \"def get_version(self):\\n return self.api_version\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8984848","0.8674616","0.83636147","0.82080185","0.81788445","0.8116403","0.81144017","0.81124747","0.8100697","0.79934955","0.79558516","0.79138756","0.790076","0.78910106","0.7832687","0.7817467","0.7802331","0.7774403","0.77695936","0.77678406","0.7761813","0.7759757","0.7759757","0.7759757","0.7743857","0.77416784","0.77416784","0.77333814","0.77295023","0.77253145","0.77253145","0.770664","0.770664","0.770664","0.770664","0.770664","0.77026904","0.77026904","0.76987904","0.76900977","0.7685675","0.76807165","0.7656677","0.76563025","0.7642019","0.7635513","0.76341605","0.7613763","0.7609877","0.7595134","0.7595134","0.75860864","0.75796926","0.7563893","0.7555708","0.75490767","0.7547525","0.7541454","0.75402254","0.75389177","0.7534869","0.75305665","0.75195247","0.75195247","0.7516664","0.7503185","0.750011","0.7498429","0.7498157","0.7497113","0.74946505","0.74946505","0.74946505","0.74946505","0.7489129","0.7487392","0.7486265","0.74846685","0.7483924","0.74755365","0.74751186","0.7470983","0.74702525","0.7464067","0.7460986","0.7458248","0.7445424","0.74390155","0.7435254","0.7429707","0.7425346","0.7420233","0.741576","0.74154985","0.7413534","0.74085116","0.7404157","0.7403631","0.7402403","0.7393508","0.7389227"],"string":"[\n \"0.8984848\",\n \"0.8674616\",\n \"0.83636147\",\n \"0.82080185\",\n \"0.81788445\",\n \"0.8116403\",\n \"0.81144017\",\n \"0.81124747\",\n \"0.8100697\",\n \"0.79934955\",\n \"0.79558516\",\n \"0.79138756\",\n \"0.790076\",\n \"0.78910106\",\n \"0.7832687\",\n \"0.7817467\",\n \"0.7802331\",\n \"0.7774403\",\n \"0.77695936\",\n \"0.77678406\",\n \"0.7761813\",\n \"0.7759757\",\n \"0.7759757\",\n \"0.7759757\",\n \"0.7743857\",\n \"0.77416784\",\n \"0.77416784\",\n \"0.77333814\",\n \"0.77295023\",\n \"0.77253145\",\n \"0.77253145\",\n \"0.770664\",\n \"0.770664\",\n \"0.770664\",\n \"0.770664\",\n \"0.770664\",\n \"0.77026904\",\n \"0.77026904\",\n \"0.76987904\",\n \"0.76900977\",\n \"0.7685675\",\n \"0.76807165\",\n \"0.7656677\",\n \"0.76563025\",\n \"0.7642019\",\n \"0.7635513\",\n \"0.76341605\",\n \"0.7613763\",\n \"0.7609877\",\n \"0.7595134\",\n \"0.7595134\",\n \"0.75860864\",\n \"0.75796926\",\n \"0.7563893\",\n \"0.7555708\",\n \"0.75490767\",\n \"0.7547525\",\n \"0.7541454\",\n \"0.75402254\",\n \"0.75389177\",\n \"0.7534869\",\n \"0.75305665\",\n \"0.75195247\",\n \"0.75195247\",\n \"0.7516664\",\n \"0.7503185\",\n \"0.750011\",\n \"0.7498429\",\n \"0.7498157\",\n \"0.7497113\",\n \"0.74946505\",\n \"0.74946505\",\n \"0.74946505\",\n \"0.74946505\",\n \"0.7489129\",\n \"0.7487392\",\n \"0.7486265\",\n \"0.74846685\",\n \"0.7483924\",\n \"0.74755365\",\n \"0.74751186\",\n \"0.7470983\",\n \"0.74702525\",\n \"0.7464067\",\n \"0.7460986\",\n \"0.7458248\",\n \"0.7445424\",\n \"0.74390155\",\n \"0.7435254\",\n \"0.7429707\",\n \"0.7425346\",\n \"0.7420233\",\n \"0.741576\",\n \"0.74154985\",\n \"0.7413534\",\n \"0.74085116\",\n \"0.7404157\",\n \"0.7403631\",\n \"0.7402403\",\n \"0.7393508\",\n \"0.7389227\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4784,"cells":{"query":{"kind":"string","value":"Get the process status"},"document":{"kind":"string","value":"def queryStatus (self) :\n\n return self.sendCommand(\"CMD_IN_QUERY_STATUS\", \"\")"},"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 status( self ):\n duration = datetime.datetime.now() - self.startTime\n status = {\n 'start': self.startTime.isoformat(),\n 'now': datetime.datetime.now().isoformat(),\n 'duration': duration.total_seconds(),\n 'bookmark': 0,\n 'events': 0,\n 'cumulative_rate': 0,\n 'processes': [],\n 'state': {\n 'id': self.state,\n 'description': definitions.STATE_STRING[self.state]\n }\n }\n\n # Sending pipes to processes which are not running or shutting down\n # will lead to errors and deadlocks. Loop through to detect errors.\n if self.state == definitions.STATE_RUNNING:\n # Loop through all processes and just check we're running properly\n for proxy in self.processes:\n if not proxy.process.is_alive():\n self.logger.info( 'Process {0} is dead.'.format( proxy.name ))\n self.state = definitions.STATE_ERROR\n break\n\n if proxy.request( 'status' )['state'] == definitions.STATE_ERROR:\n self.logger.info( 'Process {0} state is {1}.'.format(\n proxy.name,\n definitions.STATE_STRING[ definitions.STATE_ERROR ]\n ))\n\n self.state = definitions.STATE_ERROR\n break\n\n # Now do the actual status checks\n if self.state == definitions.STATE_RUNNING:\n # Loop through processes in order\n for proxy in self.processes:\n response = proxy.request('status')\n\n proc = {\n 'name': proxy.name,\n 'pid': proxy.process.pid,\n 'count': response['count'],\n 'sleep': response['sleep']\n }\n\n status['events'] = proc['count']\n status['processes'].append( proc )\n\n if 'bookmark' in response:\n status['bookmark'] = response['bookmark']\n\n status['cumulative_rate'] = round(\n status['events'] / duration.total_seconds(), 2)\n\n return status","def _QueryProcessStatus(self, process):\n process_is_alive = process.is_alive()\n if not process_is_alive:\n return None\n\n rpc_client = self._rpc_clients_per_pid.get(process.pid, None)\n return rpc_client.CallFunction()","def getstatus(self):\n return self.__status","def status(self):\n import time\n if self._status == 'pending' and PIDWrap.count < PIDWrap.limit:\n self.begin()\n if self._status == 'running':\n ans = os.waitid(os.P_PID, self.pid, os.WEXITED | os.WNOHANG)\n if ans is None: \n if time.time() >= self.killat:\n os.kill(self.pid, 9)\n os.waitpid(self.pid, 0)\n self._status = 'wallclock timeout'\n else:\n self._status = 'running'\n elif ans.si_status == 24: self._status = 'cpu timeout'\n elif ans.si_status != 0: self._status = 'crashed'\n else: self._status = 'finished'\n if self._status != 'running': PIDWrap.count -= 1\n return self._status","def get_status(self):\n\n return self._system","def get_running_status(self):\n obj = ProcessInfo('jobs')\n process_list = obj.handle_parameter()\n if process_list:\n # get the hostname\n hostname = process_list[0]\n del process_list[0]\n process_list = obj.extract_process(process_list)\n # print 'dict is here$$$$$'\n dict_processor = []\n for proc_val in process_list:\n if proc_val.search_result ==0:\n dict_processor.append({'processor':proc_val.name,'status':'Stopped','PID':str(proc_val.pid)})\n elif proc_val.search_result >=1:\n dict_processor.append({'processor':proc_val.name,'status':'Running','PID':str(proc_val.pid)})\n # dict_processor[proc_val.name] = 'Running'\n # print (\"|%-20s|%-5s|\"%(proc_val.name,proc_val.search_result))\n # print dict_processor\n return dict_processor\n else:\n return False","def get_status(self):\n\t\treturn call_sdk_function('PrlJob_GetStatus', self.handle)","def get_status(self):\n return self.read_register(259, 0, 3)","def get_status(self) -> bool:\n try:\n self.__driver.service.assert_process_still_running()\n return True\n except AttributeError:\n return False","def _check_status(self):\n self.system_status_lock.acquire()\n info = self.system_status_proxy._getvalue()\n self.system_status_lock.release()\n return info","def status(self) -> pulumi.Output['outputs.JobStatus']:\n return pulumi.get(self, \"status\")","def get_pid_status(pid):\n if pid != 0:\n pid_str = pid\n else:\n pid_str = 'self'\n\n # read procfs /proc/PID/stat file to get PID status\n try:\n with open(\"/proc/{}/stat\".format(pid_str)) as stat_file:\n # split by '(' and ')' needed\n # as processes/threads could have spaces in the name\n line_split = stat_file.readline().strip().split(')')\n pid_name = line_split[0].split('(')[1]\n state = line_split[1].strip().split(' ')[0]\n return state, state in PID_VALID_STATUS, pid_name\n except EnvironmentError:\n pass\n\n return 'E', False, ''","def getstatus(self):\n status = dict(state=self.getstate(), runningcmd=None,\n current_exposure=self.current_exposure,\n max_exposures=self.max_exposures,\n statustime=str(datetime.now())[:-7],\n lastfile=self.lastfile)\n if self.process:\n status['lastcmd'] = self.process.args[0]\n status['lastreturn'] = self.process.poll()\n if status['state'] == 'running':\n status['runningcmd'] = path.basename(self.process.args[0])\n try:\n with open(self.logfilename, newline='') as logfile:\n ts = datetime.fromtimestamp(path.getmtime(self.logfilename))\n status['cmdoutput'] = f\"Last output: {str(ts)[:-7]}\\n\"\n status['cmdoutput'] += '#'*80+'\\n'\n lines = logfile.readlines()\n if lines and lines[-1][-1] == '\\r':\n lines[-1] = lines[-1][:-1]\n for line in lines:\n if not line.endswith('\\r'):\n status['cmdoutput'] += line\n except FileNotFoundError:\n status['cmdoutput'] = \"\"\n \n # info for the lastimg to update\n status['lastimg'] = self.lastimgpath\n try:\n status['lastimg_timestamp'] = path.getmtime(self.lastimgpath)\n except FileNotFoundError:\n status['lastimg_timestamp'] = 0\n return status","def get_status(self):\n if self.vm.get_cloud_status() != \"ACTIVE\":\n return \"stopped\"\n #wait for the vm to be ready and SSH-able\n self.vm.wait_ready()\n status = self.vm.run_command(\"ctool status\", indent=0, prefix='')\n return status.strip()","def getStatus(self):\n return self.__status","def status(self):\n\t\treturn self._status","def get_status(self):\n return self._status","def procs_running():\n \n return __proc_stat('procs_running')","def mmo_what_process_am_i(self, mmo_connection):\n return mmo_connection[\"admin\"].command(\"serverStatus\")[\"process\"];","def getStatus(self):\n return self._status","def _get_status(self):\n return self.__status","def status(self):\n try:\n res = subprocess.check_output([\n self.get_bin_path(\"pg_ctl\"), 'status', '-D', '{0}'.format(self.data_dir)\n ])\n return True\n except subprocess.CalledProcessError as e:\n if e.returncode == 3:\n # Not Running\n self.working = False\n return False\n elif e.returncode == 4:\n # No data or directory do not exists\n self.working = False\n return None","def __call__(self):\n status = self.os.popen('circusctl status monitor').read().strip()\n\n if status == 'active':\n return True\n elif status == 'stopped':\n return False","def status(self):\n self.scion_sh('status')","def status(self):\r\n return self._status","def status(self):\r\n return self._status","def GetStatus(self):\r\n return self.status","def getstatus(self):\n with self.lock:\n return (self.status, self.time_start)","def pb_status(self):\n pb = ProcessingBlock(self._pb_id)\n return pb.status","def status(self):\n return self.__status","def status(self):\n return self.__status","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"status\")","def get_status(self):\n try:\n c = self._oc_command([\"status\"])\n o = run_cmd(c, return_output=True)\n for line in o.split('\\n'):\n logger.debug(line)\n return o\n except subprocess.CalledProcessError as ex:\n raise ConuException(\"Cannot obtain OpenShift cluster status: %s\" % ex)","def pr_status(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"pr_status\")","def get_status(self):\n return self.status","def get_status(self):\n return self.status","def get_status(self):\n return self.status","def status(self):\n try:\n if not os.path.exists( self.pidfile ): raise Exception(\"pid not exist\")\n pid = int( file_content_get(self.pidfile).strip() )\n except Exception as e:\n pid = None\n\n if not pid:\n sys.stdout.write(\"%s is not running...\\n\"%self.name)\n else:\n sys.stdout.write(\"%s is running with pid %s...\\n\"%(self.name,pid) )\n\n \n return # not an error in a restart","def status(self):\n return self.m.status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def status(self):\n return self._status","def getPidStatus(self, seg, pidRunningStatus):\n\n lockFileExists = pidRunningStatus['lockFileExists']\n netstatPortActive = pidRunningStatus['netstatPortActive']\n pidValue = pidRunningStatus['pidValue']\n\n lockFileName = gp.get_lockfile_name(seg.getSegmentPort())\n\n error = None\n if not lockFileExists and not netstatPortActive:\n error = \"No socket connection or lock file (%s) found for port %s\" % (lockFileName, seg.getSegmentPort())\n elif not lockFileExists and netstatPortActive:\n error = \"No lock file %s but process running on port %s\" % (lockFileName, seg.getSegmentPort())\n elif lockFileExists and not netstatPortActive:\n error = \"Have lock file %s but no process running on port %s\" % (lockFileName, seg.getSegmentPort())\n else:\n if pidValue == 0:\n error = \"Have lock file and process is active, but did not get a pid value\" # this could be an assert?\n\n res = {}\n res['pid'] = pidValue\n res['error'] = error\n return res","def status(self):\n return self._get(path='status')","def status(self):\n return self.get(self._names[\"status\"])","def comando_status(self):\r\n\tif args.tipo == 'web':\r\n return self.status_web()\r\n\r\n\tif args.tipo == 'nfce':\r\n return self.consulta_status_nfce()\r\n\r\n\tif args.tipo == 'dual':\r\n return self.status_impressora_dual()","def status(self):\n return self._query_status()['status']","def status(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"status\")","def status(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"status\")","def getStatus(self):\n pid = self._getPid()\n if pid:\n if q.system.process.isPidAlive(pid):\n return AppStatusType.RUNNING\n return AppStatusType.HALTED","def _CheckStatusWorkerProcess(self, pid):\n # TODO: Refactor this method, simplify and separate concerns (monitoring\n # vs management).\n self._RaiseIfNotRegistered(pid)\n\n process = self._processes_per_pid[pid]\n\n process_status = self._QueryProcessStatus(process)\n if process_status is None:\n process_is_alive = False\n else:\n process_is_alive = True\n\n process_information = self._process_information_per_pid[pid]\n used_memory = process_information.GetUsedMemory() or 0\n\n if self._worker_memory_limit and used_memory > self._worker_memory_limit:\n logger.warning((\n 'Process: {0:s} (PID: {1:d}) killed because it exceeded the '\n 'memory limit: {2:d}.').format(\n process.name, pid, self._worker_memory_limit))\n self._KillProcess(pid)\n\n if isinstance(process_status, dict):\n self._rpc_errors_per_pid[pid] = 0\n status_indicator = process_status.get('processing_status', None)\n\n else:\n rpc_errors = self._rpc_errors_per_pid.get(pid, 0) + 1\n self._rpc_errors_per_pid[pid] = rpc_errors\n\n if rpc_errors > self._MAXIMUM_RPC_ERRORS:\n process_is_alive = False\n\n if process_is_alive:\n rpc_port = process.rpc_port.value\n logger.warning((\n 'Unable to retrieve process: {0:s} (PID: {1:d}) status via '\n 'RPC socket: http://localhost:{2:d}').format(\n process.name, pid, rpc_port))\n\n processing_status_string = 'RPC error'\n status_indicator = definitions.STATUS_INDICATOR_RUNNING\n else:\n processing_status_string = 'killed'\n status_indicator = definitions.STATUS_INDICATOR_KILLED\n\n process_status = {\n 'processing_status': processing_status_string}\n\n self._UpdateProcessingStatus(pid, process_status, used_memory)\n\n # _UpdateProcessingStatus can also change the status of the worker,\n # So refresh the status if applicable.\n for worker_status in self._processing_status.workers_status:\n if worker_status.pid == pid:\n status_indicator = worker_status.status\n break\n\n if status_indicator in definitions.ERROR_STATUS_INDICATORS:\n logger.error((\n 'Process {0:s} (PID: {1:d}) is not functioning correctly. '\n 'Status code: {2!s}.').format(process.name, pid, status_indicator))\n\n self._TerminateProcessByPid(pid)\n\n replacement_process = None\n replacement_process_name = 'Worker_{0:02d}'.format(\n self._last_worker_number)\n for replacement_process_attempt in range(\n self._MAXIMUM_REPLACEMENT_RETRIES):\n logger.info((\n 'Attempt: {0:d} to start replacement worker process for '\n '{1:s}').format(replacement_process_attempt + 1, process.name))\n\n replacement_process = self._StartWorkerProcess(replacement_process_name)\n if replacement_process:\n break\n\n time.sleep(self._REPLACEMENT_WORKER_RETRY_DELAY)\n\n if not replacement_process:\n logger.error(\n 'Unable to create replacement worker process for: {0:s}'.format(\n process.name))","def status(self):\n return self._data['status']","def status(self):\n # process running ?\n pid = self.get_pidfile()\n \n running = True\n \n # process is not running\n if pid is None:\n running = False\n else:\n if not self.send_signal(pid,0):\n running = False\n # abnormal state, delete the file\n self.delete_pidfile()\n \n if running:\n message = \"server is running\\n\"\n else:\n message = \"server is not running\\n\"\n sys.stdout.write(message)\n \n return running","def getStatus(self, pid = None):\n \n if pid == None:\n pid = self.getPidfile()\n \n if pid != None and q.system.process.isPidAlive(pid) == True and q.system.process.checkProcessForPid(int(pid), \"apache2\") == 0:\n return AppStatusType.RUNNING\n \n return AppStatusType.HALTED","def status(self, *args):\n for k, v in self.processers.items():\n if v:\n if v.poll() is None:\n status = 'running'\n else:\n status = 'dead'\n else:\n status = 'stoped'\n print '%s - %s' % (k, status)","def Status(self):\r\n\t\treturn self._get_attribute('status')","def status(self):\n return self._dbattr('status')","def status(self):\n\n return self._status","def status(self):\n\n return self._status","def status(self):\n\n return self._status","def runtime_status(self):\n try:\n return self.yarn_api.state(self.app_id)\n except:\n return \"NONE\""],"string":"[\n \"def status( self ):\\n duration = datetime.datetime.now() - self.startTime\\n status = {\\n 'start': self.startTime.isoformat(),\\n 'now': datetime.datetime.now().isoformat(),\\n 'duration': duration.total_seconds(),\\n 'bookmark': 0,\\n 'events': 0,\\n 'cumulative_rate': 0,\\n 'processes': [],\\n 'state': {\\n 'id': self.state,\\n 'description': definitions.STATE_STRING[self.state]\\n }\\n }\\n\\n # Sending pipes to processes which are not running or shutting down\\n # will lead to errors and deadlocks. Loop through to detect errors.\\n if self.state == definitions.STATE_RUNNING:\\n # Loop through all processes and just check we're running properly\\n for proxy in self.processes:\\n if not proxy.process.is_alive():\\n self.logger.info( 'Process {0} is dead.'.format( proxy.name ))\\n self.state = definitions.STATE_ERROR\\n break\\n\\n if proxy.request( 'status' )['state'] == definitions.STATE_ERROR:\\n self.logger.info( 'Process {0} state is {1}.'.format(\\n proxy.name,\\n definitions.STATE_STRING[ definitions.STATE_ERROR ]\\n ))\\n\\n self.state = definitions.STATE_ERROR\\n break\\n\\n # Now do the actual status checks\\n if self.state == definitions.STATE_RUNNING:\\n # Loop through processes in order\\n for proxy in self.processes:\\n response = proxy.request('status')\\n\\n proc = {\\n 'name': proxy.name,\\n 'pid': proxy.process.pid,\\n 'count': response['count'],\\n 'sleep': response['sleep']\\n }\\n\\n status['events'] = proc['count']\\n status['processes'].append( proc )\\n\\n if 'bookmark' in response:\\n status['bookmark'] = response['bookmark']\\n\\n status['cumulative_rate'] = round(\\n status['events'] / duration.total_seconds(), 2)\\n\\n return status\",\n \"def _QueryProcessStatus(self, process):\\n process_is_alive = process.is_alive()\\n if not process_is_alive:\\n return None\\n\\n rpc_client = self._rpc_clients_per_pid.get(process.pid, None)\\n return rpc_client.CallFunction()\",\n \"def getstatus(self):\\n return self.__status\",\n \"def status(self):\\n import time\\n if self._status == 'pending' and PIDWrap.count < PIDWrap.limit:\\n self.begin()\\n if self._status == 'running':\\n ans = os.waitid(os.P_PID, self.pid, os.WEXITED | os.WNOHANG)\\n if ans is None: \\n if time.time() >= self.killat:\\n os.kill(self.pid, 9)\\n os.waitpid(self.pid, 0)\\n self._status = 'wallclock timeout'\\n else:\\n self._status = 'running'\\n elif ans.si_status == 24: self._status = 'cpu timeout'\\n elif ans.si_status != 0: self._status = 'crashed'\\n else: self._status = 'finished'\\n if self._status != 'running': PIDWrap.count -= 1\\n return self._status\",\n \"def get_status(self):\\n\\n return self._system\",\n \"def get_running_status(self):\\n obj = ProcessInfo('jobs')\\n process_list = obj.handle_parameter()\\n if process_list:\\n # get the hostname\\n hostname = process_list[0]\\n del process_list[0]\\n process_list = obj.extract_process(process_list)\\n # print 'dict is here$$$$$'\\n dict_processor = []\\n for proc_val in process_list:\\n if proc_val.search_result ==0:\\n dict_processor.append({'processor':proc_val.name,'status':'Stopped','PID':str(proc_val.pid)})\\n elif proc_val.search_result >=1:\\n dict_processor.append({'processor':proc_val.name,'status':'Running','PID':str(proc_val.pid)})\\n # dict_processor[proc_val.name] = 'Running'\\n # print (\\\"|%-20s|%-5s|\\\"%(proc_val.name,proc_val.search_result))\\n # print dict_processor\\n return dict_processor\\n else:\\n return False\",\n \"def get_status(self):\\n\\t\\treturn call_sdk_function('PrlJob_GetStatus', self.handle)\",\n \"def get_status(self):\\n return self.read_register(259, 0, 3)\",\n \"def get_status(self) -> bool:\\n try:\\n self.__driver.service.assert_process_still_running()\\n return True\\n except AttributeError:\\n return False\",\n \"def _check_status(self):\\n self.system_status_lock.acquire()\\n info = self.system_status_proxy._getvalue()\\n self.system_status_lock.release()\\n return info\",\n \"def status(self) -> pulumi.Output['outputs.JobStatus']:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def get_pid_status(pid):\\n if pid != 0:\\n pid_str = pid\\n else:\\n pid_str = 'self'\\n\\n # read procfs /proc/PID/stat file to get PID status\\n try:\\n with open(\\\"/proc/{}/stat\\\".format(pid_str)) as stat_file:\\n # split by '(' and ')' needed\\n # as processes/threads could have spaces in the name\\n line_split = stat_file.readline().strip().split(')')\\n pid_name = line_split[0].split('(')[1]\\n state = line_split[1].strip().split(' ')[0]\\n return state, state in PID_VALID_STATUS, pid_name\\n except EnvironmentError:\\n pass\\n\\n return 'E', False, ''\",\n \"def getstatus(self):\\n status = dict(state=self.getstate(), runningcmd=None,\\n current_exposure=self.current_exposure,\\n max_exposures=self.max_exposures,\\n statustime=str(datetime.now())[:-7],\\n lastfile=self.lastfile)\\n if self.process:\\n status['lastcmd'] = self.process.args[0]\\n status['lastreturn'] = self.process.poll()\\n if status['state'] == 'running':\\n status['runningcmd'] = path.basename(self.process.args[0])\\n try:\\n with open(self.logfilename, newline='') as logfile:\\n ts = datetime.fromtimestamp(path.getmtime(self.logfilename))\\n status['cmdoutput'] = f\\\"Last output: {str(ts)[:-7]}\\\\n\\\"\\n status['cmdoutput'] += '#'*80+'\\\\n'\\n lines = logfile.readlines()\\n if lines and lines[-1][-1] == '\\\\r':\\n lines[-1] = lines[-1][:-1]\\n for line in lines:\\n if not line.endswith('\\\\r'):\\n status['cmdoutput'] += line\\n except FileNotFoundError:\\n status['cmdoutput'] = \\\"\\\"\\n \\n # info for the lastimg to update\\n status['lastimg'] = self.lastimgpath\\n try:\\n status['lastimg_timestamp'] = path.getmtime(self.lastimgpath)\\n except FileNotFoundError:\\n status['lastimg_timestamp'] = 0\\n return status\",\n \"def get_status(self):\\n if self.vm.get_cloud_status() != \\\"ACTIVE\\\":\\n return \\\"stopped\\\"\\n #wait for the vm to be ready and SSH-able\\n self.vm.wait_ready()\\n status = self.vm.run_command(\\\"ctool status\\\", indent=0, prefix='')\\n return status.strip()\",\n \"def getStatus(self):\\n return self.__status\",\n \"def status(self):\\n\\t\\treturn self._status\",\n \"def get_status(self):\\n return self._status\",\n \"def procs_running():\\n \\n return __proc_stat('procs_running')\",\n \"def mmo_what_process_am_i(self, mmo_connection):\\n return mmo_connection[\\\"admin\\\"].command(\\\"serverStatus\\\")[\\\"process\\\"];\",\n \"def getStatus(self):\\n return self._status\",\n \"def _get_status(self):\\n return self.__status\",\n \"def status(self):\\n try:\\n res = subprocess.check_output([\\n self.get_bin_path(\\\"pg_ctl\\\"), 'status', '-D', '{0}'.format(self.data_dir)\\n ])\\n return True\\n except subprocess.CalledProcessError as e:\\n if e.returncode == 3:\\n # Not Running\\n self.working = False\\n return False\\n elif e.returncode == 4:\\n # No data or directory do not exists\\n self.working = False\\n return None\",\n \"def __call__(self):\\n status = self.os.popen('circusctl status monitor').read().strip()\\n\\n if status == 'active':\\n return True\\n elif status == 'stopped':\\n return False\",\n \"def status(self):\\n self.scion_sh('status')\",\n \"def status(self):\\r\\n return self._status\",\n \"def status(self):\\r\\n return self._status\",\n \"def GetStatus(self):\\r\\n return self.status\",\n \"def getstatus(self):\\n with self.lock:\\n return (self.status, self.time_start)\",\n \"def pb_status(self):\\n pb = ProcessingBlock(self._pb_id)\\n return pb.status\",\n \"def status(self):\\n return self.__status\",\n \"def status(self):\\n return self.__status\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def get_status(self):\\n try:\\n c = self._oc_command([\\\"status\\\"])\\n o = run_cmd(c, return_output=True)\\n for line in o.split('\\\\n'):\\n logger.debug(line)\\n return o\\n except subprocess.CalledProcessError as ex:\\n raise ConuException(\\\"Cannot obtain OpenShift cluster status: %s\\\" % ex)\",\n \"def pr_status(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"pr_status\\\")\",\n \"def get_status(self):\\n return self.status\",\n \"def get_status(self):\\n return self.status\",\n \"def get_status(self):\\n return self.status\",\n \"def status(self):\\n try:\\n if not os.path.exists( self.pidfile ): raise Exception(\\\"pid not exist\\\")\\n pid = int( file_content_get(self.pidfile).strip() )\\n except Exception as e:\\n pid = None\\n\\n if not pid:\\n sys.stdout.write(\\\"%s is not running...\\\\n\\\"%self.name)\\n else:\\n sys.stdout.write(\\\"%s is running with pid %s...\\\\n\\\"%(self.name,pid) )\\n\\n \\n return # not an error in a restart\",\n \"def status(self):\\n return self.m.status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def status(self):\\n return self._status\",\n \"def getPidStatus(self, seg, pidRunningStatus):\\n\\n lockFileExists = pidRunningStatus['lockFileExists']\\n netstatPortActive = pidRunningStatus['netstatPortActive']\\n pidValue = pidRunningStatus['pidValue']\\n\\n lockFileName = gp.get_lockfile_name(seg.getSegmentPort())\\n\\n error = None\\n if not lockFileExists and not netstatPortActive:\\n error = \\\"No socket connection or lock file (%s) found for port %s\\\" % (lockFileName, seg.getSegmentPort())\\n elif not lockFileExists and netstatPortActive:\\n error = \\\"No lock file %s but process running on port %s\\\" % (lockFileName, seg.getSegmentPort())\\n elif lockFileExists and not netstatPortActive:\\n error = \\\"Have lock file %s but no process running on port %s\\\" % (lockFileName, seg.getSegmentPort())\\n else:\\n if pidValue == 0:\\n error = \\\"Have lock file and process is active, but did not get a pid value\\\" # this could be an assert?\\n\\n res = {}\\n res['pid'] = pidValue\\n res['error'] = error\\n return res\",\n \"def status(self):\\n return self._get(path='status')\",\n \"def status(self):\\n return self.get(self._names[\\\"status\\\"])\",\n \"def comando_status(self):\\r\\n\\tif args.tipo == 'web':\\r\\n return self.status_web()\\r\\n\\r\\n\\tif args.tipo == 'nfce':\\r\\n return self.consulta_status_nfce()\\r\\n\\r\\n\\tif args.tipo == 'dual':\\r\\n return self.status_impressora_dual()\",\n \"def status(self):\\n return self._query_status()['status']\",\n \"def status(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def status(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"status\\\")\",\n \"def getStatus(self):\\n pid = self._getPid()\\n if pid:\\n if q.system.process.isPidAlive(pid):\\n return AppStatusType.RUNNING\\n return AppStatusType.HALTED\",\n \"def _CheckStatusWorkerProcess(self, pid):\\n # TODO: Refactor this method, simplify and separate concerns (monitoring\\n # vs management).\\n self._RaiseIfNotRegistered(pid)\\n\\n process = self._processes_per_pid[pid]\\n\\n process_status = self._QueryProcessStatus(process)\\n if process_status is None:\\n process_is_alive = False\\n else:\\n process_is_alive = True\\n\\n process_information = self._process_information_per_pid[pid]\\n used_memory = process_information.GetUsedMemory() or 0\\n\\n if self._worker_memory_limit and used_memory > self._worker_memory_limit:\\n logger.warning((\\n 'Process: {0:s} (PID: {1:d}) killed because it exceeded the '\\n 'memory limit: {2:d}.').format(\\n process.name, pid, self._worker_memory_limit))\\n self._KillProcess(pid)\\n\\n if isinstance(process_status, dict):\\n self._rpc_errors_per_pid[pid] = 0\\n status_indicator = process_status.get('processing_status', None)\\n\\n else:\\n rpc_errors = self._rpc_errors_per_pid.get(pid, 0) + 1\\n self._rpc_errors_per_pid[pid] = rpc_errors\\n\\n if rpc_errors > self._MAXIMUM_RPC_ERRORS:\\n process_is_alive = False\\n\\n if process_is_alive:\\n rpc_port = process.rpc_port.value\\n logger.warning((\\n 'Unable to retrieve process: {0:s} (PID: {1:d}) status via '\\n 'RPC socket: http://localhost:{2:d}').format(\\n process.name, pid, rpc_port))\\n\\n processing_status_string = 'RPC error'\\n status_indicator = definitions.STATUS_INDICATOR_RUNNING\\n else:\\n processing_status_string = 'killed'\\n status_indicator = definitions.STATUS_INDICATOR_KILLED\\n\\n process_status = {\\n 'processing_status': processing_status_string}\\n\\n self._UpdateProcessingStatus(pid, process_status, used_memory)\\n\\n # _UpdateProcessingStatus can also change the status of the worker,\\n # So refresh the status if applicable.\\n for worker_status in self._processing_status.workers_status:\\n if worker_status.pid == pid:\\n status_indicator = worker_status.status\\n break\\n\\n if status_indicator in definitions.ERROR_STATUS_INDICATORS:\\n logger.error((\\n 'Process {0:s} (PID: {1:d}) is not functioning correctly. '\\n 'Status code: {2!s}.').format(process.name, pid, status_indicator))\\n\\n self._TerminateProcessByPid(pid)\\n\\n replacement_process = None\\n replacement_process_name = 'Worker_{0:02d}'.format(\\n self._last_worker_number)\\n for replacement_process_attempt in range(\\n self._MAXIMUM_REPLACEMENT_RETRIES):\\n logger.info((\\n 'Attempt: {0:d} to start replacement worker process for '\\n '{1:s}').format(replacement_process_attempt + 1, process.name))\\n\\n replacement_process = self._StartWorkerProcess(replacement_process_name)\\n if replacement_process:\\n break\\n\\n time.sleep(self._REPLACEMENT_WORKER_RETRY_DELAY)\\n\\n if not replacement_process:\\n logger.error(\\n 'Unable to create replacement worker process for: {0:s}'.format(\\n process.name))\",\n \"def status(self):\\n return self._data['status']\",\n \"def status(self):\\n # process running ?\\n pid = self.get_pidfile()\\n \\n running = True\\n \\n # process is not running\\n if pid is None:\\n running = False\\n else:\\n if not self.send_signal(pid,0):\\n running = False\\n # abnormal state, delete the file\\n self.delete_pidfile()\\n \\n if running:\\n message = \\\"server is running\\\\n\\\"\\n else:\\n message = \\\"server is not running\\\\n\\\"\\n sys.stdout.write(message)\\n \\n return running\",\n \"def getStatus(self, pid = None):\\n \\n if pid == None:\\n pid = self.getPidfile()\\n \\n if pid != None and q.system.process.isPidAlive(pid) == True and q.system.process.checkProcessForPid(int(pid), \\\"apache2\\\") == 0:\\n return AppStatusType.RUNNING\\n \\n return AppStatusType.HALTED\",\n \"def status(self, *args):\\n for k, v in self.processers.items():\\n if v:\\n if v.poll() is None:\\n status = 'running'\\n else:\\n status = 'dead'\\n else:\\n status = 'stoped'\\n print '%s - %s' % (k, status)\",\n \"def Status(self):\\r\\n\\t\\treturn self._get_attribute('status')\",\n \"def status(self):\\n return self._dbattr('status')\",\n \"def status(self):\\n\\n return self._status\",\n \"def status(self):\\n\\n return self._status\",\n \"def status(self):\\n\\n return self._status\",\n \"def runtime_status(self):\\n try:\\n return self.yarn_api.state(self.app_id)\\n except:\\n return \\\"NONE\\\"\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.751286","0.7507033","0.71039456","0.7082734","0.70624167","0.7023819","0.69908047","0.6980245","0.69734716","0.6922125","0.69144756","0.69109225","0.6907264","0.685191","0.6851395","0.68222255","0.68154085","0.68061125","0.6799114","0.6755627","0.6755425","0.6745426","0.67345643","0.6727798","0.6727096","0.6727096","0.67269707","0.6724537","0.67141086","0.67103297","0.67103297","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.6702471","0.66993225","0.6689249","0.66866446","0.66866446","0.66866446","0.66346246","0.66290617","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66258454","0.66247857","0.662288","0.66166383","0.66112256","0.6607212","0.66066587","0.66066587","0.66066587","0.6589967","0.6574808","0.65610355","0.6544279","0.6530921","0.65280676","0.6525324","0.65242916","0.6522881","0.6522881","0.6522881","0.65192354"],"string":"[\n \"0.751286\",\n \"0.7507033\",\n \"0.71039456\",\n \"0.7082734\",\n \"0.70624167\",\n \"0.7023819\",\n \"0.69908047\",\n \"0.6980245\",\n \"0.69734716\",\n \"0.6922125\",\n \"0.69144756\",\n \"0.69109225\",\n \"0.6907264\",\n \"0.685191\",\n \"0.6851395\",\n \"0.68222255\",\n \"0.68154085\",\n \"0.68061125\",\n \"0.6799114\",\n \"0.6755627\",\n \"0.6755425\",\n \"0.6745426\",\n \"0.67345643\",\n \"0.6727798\",\n \"0.6727096\",\n \"0.6727096\",\n \"0.67269707\",\n \"0.6724537\",\n \"0.67141086\",\n \"0.67103297\",\n \"0.67103297\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.6702471\",\n \"0.66993225\",\n \"0.6689249\",\n \"0.66866446\",\n \"0.66866446\",\n \"0.66866446\",\n \"0.66346246\",\n \"0.66290617\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66258454\",\n \"0.66247857\",\n \"0.662288\",\n \"0.66166383\",\n \"0.66112256\",\n \"0.6607212\",\n \"0.66066587\",\n \"0.66066587\",\n \"0.66066587\",\n \"0.6589967\",\n \"0.6574808\",\n \"0.65610355\",\n \"0.6544279\",\n \"0.6530921\",\n \"0.65280676\",\n \"0.6525324\",\n \"0.65242916\",\n \"0.6522881\",\n \"0.6522881\",\n \"0.6522881\",\n \"0.65192354\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4785,"cells":{"query":{"kind":"string","value":"Attempt to start the process"},"document":{"kind":"string","value":"def sendStart (self, args) :\n \n data = streamModule.WriteBuffer()\n \n data.writeStruct('B', len(args))\n\n for arg in args :\n data.writeVarLen('B', arg)\n\n return self.sendCommand(\"CMD_IN_DO_START\", data.getvalue()).addCallback(self._sendStart_result)"},"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 Start(self):\n\n\n\n assert not self._process, 'Start() can only be called once'\n self._process = subprocess.Popen(self._args)","def start(self):\n self._proc = self._get_subprocess()\n self._pid = self._proc.pid\n self._return_code = None","def start(self):\r\n return self.start_subprocess()","def start_process(options, args):\n import psutil\n import process_starter\n from synergy.system import process_helper\n\n try:\n pid = process_helper.get_process_pid(options.app)\n if pid is not None:\n if psutil.pid_exists(pid):\n message = 'ERROR: Process %r is already running with pid %r\\n' % (options.app, pid)\n sys.stderr.write(message)\n sys.exit(1)\n\n if not options.interactive:\n # this block triggers if the options.interactive is not defined or is False\n process_helper.start_process(options.app, args)\n else:\n process_starter.start_by_process_name(options.app, args)\n except Exception as e:\n sys.stderr.write('Exception on starting %s : %s \\n' % (options.app, str(e)))\n traceback.print_exc(file=sys.stderr)","def run(self):\n self.process.start()","def reallyStartProcess(self, name):\n if name in self.protocols:\n return\n p = self.protocols[name] = DelayedStartupLoggingProtocol()\n p.service = self\n p.name = name\n procObj, env, uid, gid = self.processes[name]\n self.timeStarted[name] = time.time()\n\n childFDs = {0: \"w\", 1: \"r\", 2: \"r\"}\n\n childFDs.update(procObj.getFileDescriptors())\n\n procObj.starting()\n\n args = procObj.getCommandLine()\n\n self._reactor.spawnProcess(\n p, args[0], args, uid=uid, gid=gid, env=env,\n childFDs=childFDs\n )","def start(self, process_id=None):\n try:\n self.process = psutil.Process(process_id)\n logging.debug(self.process.connections())\n logging.debug(self.process.ppid())\n return \"Process Started\"\n except Exception as e:\n logging.exception(e)\n return \"Process doesnt exists\"","def start(self) -> None:\n JavaGate().exec_process_instance(\n self._user,\n self._project,\n self.name,\n \"\",\n self.worker_group,\n self.warning_type,\n self.warning_group_id,\n 24 * 3600,\n )","def start(self):\n control_process = mp.Process(target = self._start, args = [])\n control_process.start()","def start():\n global running\n # os.system('python3 /Users/bowenwaugh/Documents/GA/GA_Puzzles/simple.py')\n global process\n process = Popen(['python3', '/Users/bowenwaugh/Documents/GA/GA_Puzzles/simple.py'])\n running = True","def start_process(self, args):\n try:\n with open(os.devnull, 'w') as devnull:\n popenObj = subprocess.Popen(\n args, stdout=devnull, stderr=subprocess.PIPE, cwd=\"/tmp/\")\n popenObj.name = args\n return popenObj\n except Exception as e:\n self.logger.error(\n \"Cannot start process %s due to reason:%s\", args, e)\n raise e","def start(self):\n if self._is_launched.is_set():\n self._log(\"warning\", \"try to start an already started process\")\n return False\n\n self._popen = Popen(shlex.split(self.command), bufsize=0, executable=None, stdin=PIPE, stdout=PIPE,\n stderr=self.stderr, close_fds=False, shell=False, cwd=None, env=None,\n universal_newlines=True, startupinfo=None, creationflags=0,\n preexec_fn=lambda: os.nice(self._priority))\n\n self._defunctdog_thread.start()\n self._stdin_thread.start()\n self._stdout_thread.start()\n register_thread(self)\n self._is_launched.set()\n self._is_running.set()","def start(self):\n # check for running server\n if self.running():\n return False\n\n # check for creation in the meantime\n file_name = os.path.join(self.cache_dir_, MGR_PID_FILE)\n if os.path.exists(file_name):\n return\n\n # launch child process\n f = open(file_name, 'w')\n self.server_pid_ = os.fork()\n if self.server_pid_ > 0: # parent process\n # create pid file\n f.write('%d\\n' %(self.server_pid_))\n else:\n time.sleep(MGR_SLEEP_TIME)\n if not self.running():\n logging.error('Server not started. PID file did not exist')\n raise ValueError()\n self.pid_ = self.server_pid_\n logging.info('Server started with pid %d' %(self.pid_))\n self.run()","def test_startProcessAlreadyStarted(self):\r\n self.pm.addProcess(\"foo\", [\"foo\"])\r\n self.pm.startProcess(\"foo\")\r\n self.assertIdentical(None, self.pm.startProcess(\"foo\"))","def start(self):\n cmd = self.doCommand(self.args)\n if cmd is not None:\n cmd.join()\n else:\n self.out = self.error","def start_bot(self):\n self.proc = subprocess.Popen(\"./start\", stdin=subprocess.PIPE,\n\t\t\t\t\t\t\t\t\t stdout=subprocess.PIPE,\n\t\t\t\t\t\t\t\t\t cwd=os.path.abspath(self.path))","def start_process(self, connection):\n\n self.handle_process(connection)","def _StartWorkerProcess(self, process_name):","def start(self):\n self.p.start()","def do_start(self, str_arg):\n try:\n # self.adbc.startActivity(validateString(str_arg))\n # the above approach failed in unittest complaining device is offline, weird...\n return self.runAdbCmd('shell am start -n', validateString(str_arg))\n except RuntimeError:\n self.resultFlag = False\n if DEBUG:\n traceback.print_exc()","def run_starter(self, expect_to_fail=False):\n logging.info(\"running starter \" + self.name)\n args = [self.cfg.bin_dir / \"arangodb\"] + self.hotbackup_args + self.default_starter_args + self.arguments\n\n lh.log_cmd(args)\n self.instance = psutil.Popen(args)\n logging.info(\"my starter has PID:\" + str(self.instance.pid))\n if not expect_to_fail:\n self.wait_for_logfile()\n self.wait_for_port_bind()","def spawn(self):\r\n options = self.config.options\r\n\r\n if self.pid:\r\n msg = 'process %r already running' % self.config.name\r\n options.logger.warn(msg)\r\n return\r\n\r\n self.killing = 0\r\n self.spawnerr = None\r\n self.exitstatus = None\r\n self.system_stop = 0\r\n self.administrative_stop = 0\r\n\r\n self.laststart = time.time()\r\n\r\n self._assertInState(ProcessStates.EXITED, ProcessStates.FATAL,\r\n ProcessStates.BACKOFF, ProcessStates.STOPPED)\r\n\r\n self.change_state(ProcessStates.STARTING)\r\n\r\n try:\r\n filename, argv = self.get_execv_args()\r\n except ProcessException as what:\r\n self.record_spawnerr(what.args[0])\r\n self._assertInState(ProcessStates.STARTING)\r\n self.change_state(ProcessStates.BACKOFF)\r\n return\r\n\r\n try:\r\n self.dispatchers, self.pipes = self.config.make_dispatchers(self)\r\n except OSError as why:\r\n code = why.args[0]\r\n if code == errno.EMFILE:\r\n # too many file descriptors open\r\n msg = 'too many open files to spawn %r' % self.config.name\r\n else:\r\n msg = 'unknown error: %s' % errno.errorcode.get(code, code)\r\n self.record_spawnerr(msg)\r\n self._assertInState(ProcessStates.STARTING)\r\n self.change_state(ProcessStates.BACKOFF)\r\n return\r\n\r\n try:\r\n pid = options.fork()\r\n except OSError as why:\r\n code = why.args[0]\r\n if code == errno.EAGAIN:\r\n # process table full\r\n msg = ('Too many processes in process table to spawn %r' %\r\n self.config.name)\r\n else:\r\n msg = 'unknown error: %s' % errno.errorcode.get(code, code)\r\n\r\n self.record_spawnerr(msg)\r\n self._assertInState(ProcessStates.STARTING)\r\n self.change_state(ProcessStates.BACKOFF)\r\n options.close_parent_pipes(self.pipes)\r\n options.close_child_pipes(self.pipes)\r\n return\r\n\r\n if pid != 0:\r\n return self._spawn_as_parent(pid)\r\n\r\n else:\r\n return self._spawn_as_child(filename, argv)","def start(self):\n if self.running:\n warnings.warn(\"ExifTool already running; doing nothing.\")\n return\n with open(os.devnull, \"w\") as devnull:\n procargs = [self.executable, \"-stay_open\", \"True\", \"-@\", \"-\",\n \"-common_args\", \"-G\", \"-n\"];\n procargs.extend(self.addedargs)\n logging.debug(procargs) \n self._process = subprocess.Popen(\n procargs,\n stdin=subprocess.PIPE, stdout=subprocess.PIPE,\n stderr=devnull)\n self.running = True","def _start(self):\n if is_pidfile_stale(self.pidfile):\n self.pidfile.break_lock()\n\n try:\n self.daemon_context.open()\n except pidlockfile.AlreadyLocked:\n pidfile_path = self.pidfile.path\n raise DaemonRunnerStartFailureError(\n \"PID file %(pidfile_path)r already locked\" % vars())\n\n pid = os.getpid()\n message = self.start_message % vars()\n emit_message(message)\n\n self.app.run()","def start():","def start():","def start():","def start():","def start_process(cmd, supress_output=False):\n logging.debug(cmd)\n logging.error(\"[tony]cmd:%r\" % (cmd))\n proc = subprocess.Popen(cmd, stdout=None, stderr=subprocess.PIPE)\n out, err = proc.communicate()\n rtn_code = proc.returncode\n\n if supress_output is False:\n if out:\n logging.info(out)\n if err:\n logging.error(err)\n\n if rtn_code == 0 or rtn_code is None:\n logging.info('Success: Process return code %s', str(rtn_code))\n else:\n logging.error('Error: Process return code %s', str(rtn_code))\n sys.exit(1)","def start_process():\n global command, process\n\n def on_data(data):\n data = data.decode().strip()\n print('{}'.format(data))\n\n cmd = command.split(' ')\n\n if process:\n process.terminate()\n\n process = MySubprocess(cmd, -1, functools.partial(on_data), None, None)","def _check_started(f):\n def inner(self, *args, **kwargs):\n if self._proc is None:\n raise ProcessIsNotStartedError('Call start() first to run the process.')\n return f(self, *args, **kwargs)\n\n return inner","def start(self):\n if self.subcommand:\n os.execv(self.subcommand, [self.subcommand] + self.argv[1:])\n raise NoStart()\n \n if self.subapp:\n self.subapp.start()\n raise NoStart()\n \n if self.generate_config:\n self.write_default_config()\n raise NoStart()","def start(self):\n if self._start is not None:\n raise ValueError, \"task %s already started\" % self._name\n self._start = 1\n self.run()","def Spawn(proc):\n proc.start()\n return proc","def start(self):\n self.__current_evaluation_context = self.agent.evaluation_context.create_child_context()\n self.current_evaluation_context.set_process(self)\n self.procedure.restart(self.__current_evaluation_context)\n self.__current_control_node = self.procedure.body\n self.__last_start_time = self.agent.evaluation_context.get_current_time()\n\n self._on_start()\n self.__state = Process.RUNNING","def start(self):\r\n cfunc = lib_importer.windll.DAQmxStartTask\r\n if cfunc.argtypes is None:\r\n with cfunc.arglock:\r\n if cfunc.argtypes is None:\r\n cfunc.argtypes = [lib_importer.task_handle]\r\n\r\n error_code = cfunc(self._handle)\r\n check_for_error(error_code)","def start():\n\n start_server()","def start(self, *args):\n if args[0] == 'all':\n params = args[1:]\n for x in self.processers.keys():\n cmd = ['python', 'processmgr.py']\n cmd.append(x.replace('process', ''))\n cmd.extend(params)\n p = subprocess.Popen(cmd,\n stdin=subprocess.PIPE,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n shell=False)\n self.processers[x] = p\n print 'run %s' % x\n else:\n cmd = ['python', 'processmgr.py']\n cmd.extend(args)\n p = subprocess.Popen(cmd,\n stdin=subprocess.PIPE,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n shell=False)\n \n self.processers['process%s' % args[0]] = p\n print 'run process%s.' % args[0]","def start(self, reload_from=None):\n assert not self._process, \"server instance already started\"\n pid = Value(\"i\")\n self._process = Process(target=self._start,\n args=(pid, socket_queue),\n kwargs={\"reload_from\": reload_from})\n self._process.start()\n pid.value = self._process.pid","def start():\n logging.info(\"Execution Started\")","def start_procedure(self):\n pass","def do_start(self,processor):\n # app_logger = self.construct_logger(rta_constants.PROPERTIES_LOG_FILE)\n running_dict = {}\n for item in self.get_running_status():\n running_dict[item.get('processor')]=item.get('status')\n\n if processor == 'spark':\n if running_dict:\n if running_dict['spark<spark_worker>'] != 'Running' and running_dict['spark<spark_master>'] != 'Running':\n try:\n cmd_line = self.cmd_start_spark\n cmd = subprocess.Popen([cmd_line],shell=True,stdout=subprocess.PIPE)\n (output,err) = cmd.communicate()\n # app_logger.info('*********output logging **************')\n print(output)\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if running_dict['spark<spark_worker>'] == 'Running' or running_dict['spark<spark_master>'] == 'Running':\n print('Spark Server is running!! please trying to stop it before it starts.')\n return\n else:\n print('Please type correct command! You may use \"help start\" see more help')\n return\n\n elif processor == 'tomcat':\n if running_dict.has_key('tomcat') and running_dict['tomcat'] != 'Running':\n try:\n cmd_line = self.cmd_start_tomcat\n # print('staring tomcat server------->')\n print cmd_line\n\n # 2311 Vpl update to fix problem of catalina shutdown when term exit (10.x timeout)\n cmd = subprocess.call(['nohup',cmd_line,'start'])\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n #(output,err) = cmd.communicate()\n\n # app_logger.info('*********output logging **************')\n #print(output)\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('tomcat'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n else:\n print('Tomcat Server is running!! please trying to stop it before it start.')\n return\n\n elif processor == 'HDFS':\n #1/5/2017 Commit by JOJO\n '''\n if running_dict.has_key('HDFS') and running_dict['HDFS'] != 'Running':\n try:\n cmd_line = self.cmd_start_hadoop_hdfs\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n # (output,err) = cmd.communicate()\n # print(output)\n # app_logger.info('*********output logging **************')\n # print(output)\n print('HDFS has been started!')\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('HDFS'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n else:\n print('HDFS server is running!! please trying to stop it before it start.')\n return\n '''\n print('Please type correct command! You may use \"help start\" see more help')\n return\n elif processor == 'web_management':\n if running_dict.has_key('web_management') and running_dict['web_management'] != 'Running':\n try:\n cmd_line = 'python '+self.cmd_start_web_management\n print('starting web_management webserver------->')\n # print cmd_line\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n (output,err) = cmd.communicate()\n print(output)\n # app_logger.info('*********output logging **************')\n # print(output)\n print('web_management webserver has been started!')\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('web_management'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n else:\n print('Flask webserver is running!! please trying to stop it before it start.')\n return\n\n elif processor == 'novelty':\n if running_dict.has_key('novelty') and running_dict['novelty'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running':\n try:\n cmd_line = self.cmd_start_novelty_detector\n # print('staring novelty------->')\n # print cmd_line\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n # (output,err) = cmd.communicate()\n\n # app_logger.info('*********output logging **************')\n print('novelty has been started!')\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('novelty'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n elif running_dict['novelty'] == 'Running':\n print('novelty processor is running!! please trying to stop it before it start.')\n return\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\n print('Please start spark first!! trying to use command \"start spark\"')\n return\n\n elif processor == 'raw_writer':\n if running_dict.has_key('raw_writer') and running_dict['raw_writer'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running':\n try:\n cmd_line = self.cmd_start_raw_writer\n # print('staring raw_writer------->')\n # print cmd_line\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n # (output,err) = cmd.communicate()\n print('raw_writer has been started!')\n return\n\n # app_logger.info('*********output logging **************')\n # print(output)\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('raw_writer'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n elif running_dict['raw_writer'] == 'Running':\n print('raw_writer processor is running!! please trying to stop it before it start.')\n return\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\n print('Please start spark first!! trying to use command \"start spark\"')\n return\n\n elif processor == 'cassandra':\n if running_dict.has_key('cassandra') and running_dict['cassandra'] != 'Running':\n try:\n cmd_line = self.cmd_start_cassandra\n # print('starting cassandra------->')\n # print cmd_line\n\n #2311 Vpl update to fix problem of cassandra shutdown when term exit (10.x timeout)\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n cmd = subprocess.call(['nohup',cmd_line])\n #(output,err) = cmd.communicate()\n\n # app_logger.info('*********output logging **************')\n # print(output)\n print ('cassandra has been started!')\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('cassandra'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n else:\n print('cassandra Server is running!! please trying to stop it before it start.')\n return\n\n elif processor == 'kairosDb':\n if running_dict.has_key('kairosDb') and running_dict['kairosDb'] != 'Running' and running_dict['cassandra']=='Running':\n try:\n cmd_line = self.cmd_start_kairosDB\n # print('staring kairosDB------->')\n\n # print cmd_line\n\t\t\t\t\t#2311 Vpl update to fix problem of kairosDb shutdown when term exit (10.x timeout)\n\t\t\t\t\t#cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n cmd = subprocess.call(['nohup',cmd_line,'start'])\n #(output,err) = cmd.communicate()\n\n # app_logger.info('*********output logging **************')\n print('kairosDb has been started!')\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('kairosDb'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n elif running_dict['cassandra']=='Stopped':\n print('cassandra required starting before kairosDb is running!! please trying to \"start cassandra\" first')\n return\n elif running_dict['kairosDB'] == 'Running':\n print('kairosDB Server is running!! please trying to stop it before it starts.')\n return\n\n elif processor == 'grafana':\n if running_dict.has_key('grafana') and running_dict['grafana'] != 'Running' and running_dict['kairosDb']=='Running':\n try:\n cmd_line = self.cmd_start_grafana\n # print('staring grafana------->')\n # print cmd_line\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n # (output,err) = cmd.communicate()\n # app_logger.info('*********output logging **************')\n # print(output)\n print ('grafana has been started!')\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('grafana'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n elif running_dict['kairosDb']=='Stopped':\n print('kairosDb required starting before grafana is running!! please trying to \"start kairoseDb\" first')\n return\n elif running_dict['grafana'] == 'Running':\n print('grafana Server is running!! please trying to stop it before it starts.')\n return\n\n elif processor == 'kafka':\n if running_dict.has_key('kafka') and running_dict['kafka'] != 'Running' and running_dict['zookeeper']=='Running':\n try:\n cmd_line = self.cmd_start_kafka\n print('starting kafka------->')\n # print cmd_line\n\n #2311 Vpl update to fix problem of zookeeper shutdown when term exit (10.x timeout)\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n cmd = subprocess.Popen(cmd_line)\n # (output,err) = cmd.communicate()\n # print (output)\n print ('kafka has been started!')\n return\n # app_logger.info('*********output logging **************')\n # print(output)\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('kafka'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n elif running_dict['zookeeper']=='Stopped':\n print('zookeeper required starting before kafka is running!! please trying to \"start zookeeper\" first')\n return\n elif running_dict['kafka'] == 'Running':\n print('Kafka Server is running!! please trying to stop it before it starts.')\n return\n\n elif processor == 'zookeeper':\n if running_dict.has_key('zookeeper') and running_dict['zookeeper'] != 'Running':\n try:\n cmd_line = self.cmd_start_zookeeper\n # print('staring zookeeper------->')\n # print (cmd_line)\n\n #2311 Vpl update to fix problem of zookeeper shutdown when term exit (10.x timeout)\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n cmd = subprocess.Popen(cmd_line)\n # (output,err) = cmd.communicate()\n # print (output)\n\n print('zookeeper has been started!')\n return\n except Exception as ex:\n print(\" Failed to stop processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if not running_dict.has_key('zookeeper'):\n print('Please type correct command! You may use \"help start\" see more help')\n return\n else:\n print('Zookeeper Server is running!! please trying to stop it before it starts.')\n return\n\n elif processor == 'accl_processor':\n if running_dict:\n if running_dict['accl_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\n try:\n cmd_line = self.cmd_start_accl_processor\n print cmd_line\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n #cmd = subprocess.Popen(['nohup',cmd_line])\n # cmd = subprocess.Popen(cmd_line)\n\n print ('Accelerometer processor has been started')\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if running_dict['accl_processor'] == 'Running':\n print('Accelerometer processor is running!! please trying to stop it before it starts.')\n return\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\n print('Please start spark first!! trying to use command \"start spark\"')\n return\n elif running_dict['zookeeper'] == 'Stopped':\n print('Please start zookeeper server first!! trying to use command \"start zookeeper\"')\n return\n elif running_dict['kafka'] == 'Stopped':\n print('Please start kafka server first!! trying to use command \"start kafka\"')\n return\n else:\n print('Please type correct command! You may use \"help start\" see more help')\n sys.exit(1)\n\n elif processor == 'baro_processor':\n if running_dict:\n if running_dict['baro_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\n try:\n cmd_line = self.cmd_start_baro_processor\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n print ('Barometer processor has been started')\n\t\t\tprint (cmd_line)\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if running_dict['baro_processor'] == 'Running':\n print('Barometer processor is running!! please trying to stop it before it starts.')\n return\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\n print('Please start spark first!! trying to use command \"start spark\"')\n return\n elif running_dict['zookeeper'] == 'Stopped':\n print('Please start zookeeper server first!! trying to use command \"start zookeeper\"')\n return\n elif running_dict['kafka'] == 'Stopped':\n print('Please start kafka server first!! trying to use command \"start kafka\"')\n return\n else:\n print('Please type correct command! You may use \"help start\" see more help')\n sys.exit(1)\n\n elif processor == 'gyro_processor':\n if running_dict:\n if running_dict['gyro_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\n try:\n cmd_line = self.cmd_start_gyro_processor\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n print ('Gyroscope processor has been started')\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if running_dict['gyro_processor'] == 'Running':\n print('Gyroscope processor is running!! please trying to stop it before it starts.')\n return\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\n print('Please start spark first!! trying to use command \"start spark\"')\n return\n elif running_dict['zookeeper'] == 'Stopped':\n print('Please start zookeeper server first!! trying to use command \"start zookeeper\"')\n return\n elif running_dict['kafka'] == 'Stopped':\n print('Please start kafka server first!! trying to use command \"start kafka\"')\n return\n else:\n print('Please type correct command! You may use \"help start\" see more help')\n sys.exit(1)\n\n elif processor == 'aggr_processor':\n if running_dict:\n if running_dict['aggr_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\n try:\n cmd_line = self.cmd_start_aggr_naiv\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\n print ('Aggregator processor has been started')\n return\n except Exception as ex:\n print(\" Failed to run processor with ERROR(%s).\", str(ex))\n sys.exit(1)\n else:\n if running_dict['aggr_processor'] == 'Running':\n print('Aggregator processor is running!! please trying to stop it before it starts.')\n return\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\n print('Please start spark first!! trying to use command \"start spark\"')\n return\n elif running_dict['zookeeper'] == 'Stopped':\n print('Please start zookeeper server first!! trying to use command \"start zookeeper\"')\n return\n elif running_dict['kafka'] == 'Stopped':\n print('Please start kafka server first!! trying to use command \"start kafka\"')\n return\n else:\n print ('Please type correct command! You may use \"help start\" see more help')\n sys.exit(1)\n\n else:\n print ('Please type correct command! You may use \"help start\" see more help')","def spawn(self):\n self._proc = subprocess.Popen(\n self._args, stdout=subprocess.PIPE, stderr=subprocess.PIPE\n )","def fork(self):\n try:\n pid = os.fork()\n if pid > 0:\n sys.exit(0)\n except OSError as e:\n sys.stderr.write(\"Fork failed: %d (%s)\\n\" % (e.errno, e.strerror))\n sys.exit(1)","def start(self):\n self.start_time = dt.datetime.now()\n self.call = ' '.join(sys.argv)\n self.commands = []","def _start_scrapy_process(self):\n cmd = self._parse_task_and_get_cmd()\n self.process = Popen(cmd, shell=True, stdout=PIPE,\n stderr=PIPE, preexec_fn=os.setsid)\n if self.task_data.get('with_best_seller_ranking', False):\n logger.info('With best seller ranking')\n cmd = self._parse_task_and_get_cmd(True)\n self.process_bsr = Popen(cmd, shell=True, stdout=PIPE,\n stderr=PIPE, preexec_fn=os.setsid)\n else:\n logger.info('Skipping best seller')\n logger.info('Scrapy process started for task #%s',\n self.task_data.get('task_id', 0))","def startApplication(self, application):\n process = service.IProcess(application)\n if not self.config['originalname']:\n launchWithName(process.processName)\n self.setupEnvironment(\n self.config['chroot'], self.config['rundir'],\n self.config['nodaemon'], self.config['umask'],\n self.config['pidfile'])\n\n service.IService(application).privilegedStartService()\n\n uid, gid = self.config['uid'], self.config['gid']\n if uid is None:\n uid = process.uid\n if gid is None:\n gid = process.gid\n if uid is not None and gid is None:\n gid = pwd.getpwuid(uid).pw_gid\n\n self.shedPrivileges(self.config['euid'], uid, gid)\n app.startApplication(application, not self.config['no_save'])","def start( self ):\n pathCheck( self.command )\n cout = '/tmp/' + self.name + '.log'\n if self.cdir is not None:\n self.cmd( 'cd ' + self.cdir )\n self.cmd( self.command + ' ' + self.cargs % self.port +\n ' 1>' + cout + ' 2>' + cout + '&' )\n self.execed = False","async def start(self, args, env, cwd, port_expected_count,\n forward_stdout):\n if self._state != JobState.NEW:\n raise JobInvalidStateError('job cannot be restarted')\n self._process = polled_process.PolledProcess(args, env)\n self._process.on_finished.append(self._process_finished)\n self._state = JobState.PENDING\n cwd = pathlib.PurePath(cwd or '')\n if cwd.is_absolute():\n raise ValueError('job working directory path must be relative')\n if port_expected_count:\n port_discovery = polled_process.ProcessPortDiscovery.EXTERNAL\n else:\n port_discovery = polled_process.ProcessPortDiscovery.NONE\n process_kwargs = dict(\n port_discovery=port_discovery,\n workdir=str(self.sandbox.joinpath(cwd)),\n port_expected_count=port_expected_count\n )\n try:\n if forward_stdout:\n await self._process.start(\n stdout=None, stderr=None,\n **process_kwargs\n )\n else:\n stdout_path = self.sandbox.joinpath(self.FILENAME_STDOUT)\n stderr_path = self.sandbox.joinpath(self.FILENAME_STDERR)\n with open(stdout_path, 'wb') as stdout:\n with open(stderr_path, 'wb') as stderr:\n await self._process.start(\n stdout=stdout, stderr=stderr,\n **process_kwargs\n )\n self._state = JobState.RUNNING\n except Exception:\n self._state = JobState.FINISHED\n raise","def test_application_start():\n\n process = subprocess.Popen(['python', 'runserver.py'],\n stderr=subprocess.STDOUT,\n stdout=subprocess.PIPE)\n\n assert process.pid\n debug_logging = process.stdout.read(100)\n process.kill()\n assert 'Starting application' in debug_logging","def launch(self):\n \n # Get local loggers from launchlogger decorator\n out_log = getattr(self, 'out_log', None)\n err_log = getattr(self, 'err_log', None)\n\n # Check the properties\n fu.check_properties(self, self.properties)\n\n if self.restart:\n output_file_list = [self.output_path]\n if fu.check_complete_files(output_file_list):\n fu.log('Restart is enabled, this step: %s will the skipped' % self.step, out_log, self.global_log)\n return 0\n\n # create command line instruction\n cmd = self.create_cmd(out_log, err_log)\n\n returncode = cmd_wrapper.CmdWrapper(cmd, out_log, err_log, self.global_log).launch()\n return returncode","def _start(self):\n pass","def _restartProcessNormal(self) -> None:\n\n if IS_WIN_SVC in sys.argv:\n reactor.callFromThread(reactor.stop)\n return\n\n python = sys.executable\n argv = list(sys.argv)\n\n def addExe(val):\n if not \"run_peek_\" in val:\n return val\n if isWindows and not val.lower().endswith(\".exe\"):\n return val + \".exe\"\n return val\n\n argv = map(addExe, argv)\n os.execl(python, python, *argv)","def _start(self, host):\n pass","def start_processing(self):","def do_start(self, args) :\r\n if not self.wait2start:\r\n Thread(target=self.start_loop).start()\r\n self.wait2start = True\r\n else:\r\n self.__Logger.warn(\"Waiting for simulators to be ready. To force start, type \\\"forcestart\\\"\")","def start_execution(self):\n self.send_message(\"control.start\",None)","def _start_process(ngrok_path, config_path=None, auth_token=None, region=None):\n _ensure_path_ready(ngrok_path)\n\n start = [ngrok_path, \"start\", \"--none\", \"--log=stdout\"]\n if config_path:\n logger.info(\"Starting ngrok with config file: {}\".format(config_path))\n start.append(\"--config={}\".format(config_path))\n if auth_token:\n logger.info(\"Overriding default auth token\")\n start.append(\"--authtoken={}\".format(auth_token))\n if region:\n logger.info(\"Starting ngrok in region: {}\".format(region))\n start.append(\"--region={}\".format(region))\n\n process = subprocess.Popen(start, stdout=subprocess.PIPE, universal_newlines=True)\n atexit.register(_terminate_process, process)\n\n logger.info(\"ngrok process starting: {}\".format(process.pid))\n\n ngrok_process = NgrokProcess(ngrok_path, config_path, process)\n _current_processes[ngrok_path] = ngrok_process\n\n timeout = time.time() + 15\n while time.time() < timeout:\n line = process.stdout.readline()\n ngrok_process.log_boot_line(line.strip())\n\n if ngrok_process.healthy():\n logger.info(\"ngrok process has started: {}\".format(ngrok_process.api_url))\n break\n elif ngrok_process.startup_error is not None or \\\n ngrok_process.proc.poll() is not None:\n break\n\n if not ngrok_process.healthy():\n # If the process did not come up in a healthy state, clean up the state\n kill_process(ngrok_path)\n\n if ngrok_process.startup_error is not None:\n raise PyngrokNgrokError(\"The ngrok process errored on start.\", ngrok_process.startup_logs,\n ngrok_process.startup_error)\n else:\n raise PyngrokNgrokError(\"The ngrok process was unable to start.\", ngrok_process.startup_logs)\n\n return ngrok_process","def _start(self, instance):\n try:\n # Attempt to start the VE.\n # NOTE: The VE will throw a warning that the hostname is invalid\n # if it isn't valid. This is logged in LOG.error and is not\n # an indication of failure.\n _, err = utils.execute('sudo', 'vzctl', 'start', instance['id'])\n if err:\n LOG.error(err)\n except ProcessExecutionError as err:\n LOG.error(err)\n raise exception.Error('Failed to start %d' % instance['id'])\n\n # Set instance state as RUNNING\n db.instance_set_state(context.get_admin_context(),\n instance['id'],\n power_state.RUNNING)\n return True","def test_startProcess(self):\r\n self.pm.addProcess(\"foo\", [\"foo\"])\r\n self.pm.startProcess(\"foo\")\r\n self.assertIsInstance(self.pm.protocols[\"foo\"], LoggingProtocol)\r\n self.assertIn(\"foo\", self.pm.timeStarted.keys())","def start_service(service_name):\n subprocess.run([SUPERVISOR_CMD, \"start\", service_name])","def activateButtonClicked(self):\n print(\"trying to start process...\")\n subprocess.Popen(\"/usr/local/bin/g13d --config /usr/local/bin/defaults.bind\", shell=True)\n self.checkProcess()","def start(self): # pragma: no cover\n # Start the HAL and Fake Driver\n if self.hal_cmd_line:\n self.logger.info(\"Start the hal main process...\")\n process_obj = self.start_process(self.hal_cmd_line)\n self.hal_process = {\n \"process\": process_obj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.hal_process)\n\n # wait a period for process start and init complete\n time.sleep(self.PROCESS_INIT_PERIOD)\n if self.fake_driver_cmd_line:\n self.logger.info(\"Start the fake driver process...\")\n process_obj = self.start_process(self.fake_driver_cmd_line)\n self.fake_driver_process = {\n \"process\": process_obj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.fake_driver_process)\n\n for agent_name in self.agent_dict:\n self.logger.info(\"start agent process {}...\".format(agent_name))\n popenObj = self.start_process(self.agent_dict[agent_name])\n self.agent_obj[agent_name] = {\n \"process\": popenObj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.agent_obj[agent_name])\n\n # wait a period for agent start and init complete\n alive_status = False\n for timeout in range(self.WAITING_FOR_AGENT_STARTUP_RETRY):\n alive_status = ProcessAgent.is_all_agent_started()\n if not alive_status:\n time.sleep(1)\n if not alive_status:\n self.logger.error('Not all agent startup normally, reboot the system.')\n SysTools.sys_failure_reboot(reason='Not all agent startup')\n SysTools.diagnostic_self_test_fail('Communication error', 'Not all agent startup', 'Severity level=error')\n\n # start the manager process\n self.logger.info(\"Start the manager process...\")\n process_obj = self.start_process(self.manager_cmd_line)\n self.manager_process = {\n \"process\": process_obj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.manager_process)\n\n # start the fault_manager process\n self.logger.info(\"Start the fault manager process...\")\n process_obj = self.start_process(self.fault_manager_cmd_line)\n self.manager_process = {\n \"process\": process_obj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.manager_process)\n\n if self.ptp_driver_cmd_line:\n self.logger.info(\"Start the ptp driver client process...\")\n process_obj = self.start_process(self.ptp_driver_cmd_line)\n self.ptp_driver_process = {\n \"process\": process_obj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.ptp_driver_process)\n\n if self.res_hal_cmd_line:\n self.logger.info(\"Start the resource hal client process...\")\n process_obj = self.start_process(self.res_hal_cmd_line)\n self.res_driver_process = {\n \"process\": process_obj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.res_driver_process)\n\n if self.ssd_driver_cmd_line:\n self.logger.info(\"Start the ssd driver client process...\")\n process_obj = self.start_process(self.ssd_driver_cmd_line)\n self.ssd_driver_process = {\n \"process\": process_obj,\n \"retries\": 0,\n }\n manager_debugability.debugability_process_monitor(self.ssd_driver_process)\n\n while True:\n time.sleep(5)\n # monitor the all process\n manager_debugability.debugability_traceback()\n\n # monitor the manager process, will not retry....\n if self.manager_process is not None and self.manager_process['process'] is None:\n self.logger.error(\n \"Manager process is not up, reboot the system.\")\n if self.simulator_flag:\n sys.exit(-1)\n else:\n SysTools.sys_failure_reboot(reason=\"Manager process is not up\")\n SysTools.diagnostic_self_test_fail('Processing error', 'Manager process is not up',\n 'Severity level=error')\n\n for agent in self.agent_obj:\n # check if agent instance create succeed, retry if failure\n if None is self.agent_obj[agent][\"process\"]:\n if self.agent_obj[agent][\"retries\"] < self.AGENT_RETRIES_MAX:\n self.logger.warn(\n 'Agent %s retries %d times', agent, self.agent_obj[agent][\"retries\"])\n self.agent_obj[agent][\"process\"] = self.start_process(self.agent_dict[agent_name])\n self.agent_obj[agent][\"retries\"] += 1\n self.logger.warn('Agent %s retries %d times', agent, self.agent_obj[agent][\"retries\"])\n manager_debugability.debugability_process_monitor(self.agent_obj[agent])\n continue\n else:\n # FixMe: reboot system or ?\n self.logger.error('Agent %s retries times exceed, will reboot...', agent)\n SysTools.sys_failure_reboot(reason=\"Agent {0} retries times exceed\".format(agent))\n SysTools.diagnostic_self_test_fail('Communication error',\n \"Agent {0} retries times exceed\".format(agent),\n 'Severity level=error')\n\n if self.check_process_status(self.agent_obj[agent][\"process\"]) != self.PROCESSSTATE_ALIVE:\n self.logger.error(\n '%s process is dead, reboot the system.', agent)\n # FixMe: reboot system or restart agent\n SysTools.sys_failure_reboot(reason=\"{0} process is dead\".format(agent))\n SysTools.diagnostic_self_test_fail('Processing error', \"{0} process is dead\".format(agent),\n 'Severity level=error')\n # check other critical processes\n if self.ptp_driver_cmd_line:\n if self.check_process_status(self.ptp_driver_process[\"process\"]) != self.PROCESSSTATE_ALIVE:\n self.logger.error(\"ptp hal driver process is dead\")\n SysTools.sys_failure_reboot(reason=\"ptp hal driver process is dead\")\n SysTools.diagnostic_self_test_fail('Processing error', \"ptp hal driver process is dead\",\n 'Severity level=error')","def start_process(check_id, storage, processes):\n\n process = Process(target=perform_check, args=(check_id,\n storage[check_id]['command'],\n storage[check_id]['freq'],))\n\n # Set process name to \"Process+check_id\"\n process.name = 'Process{}'.format(check_id)\n process.start()\n\n # Add process to processes dict with key=pid and value=processname\n processes[process.pid] = process\n storage[check_id]['pid'] = process.pid","def start_as_service(self):\n from ..program_manager import ProgramManager\n send_action(ProgramManager.NAME, 'start', self.name)","def start(self) -> None:\n self.should_exit = False\n self._main_thread = threading.Thread(target=self._wrap_start, daemon=True)\n self._main_thread.start()","def test_startService(self):\r\n self.pm.addProcess(\"foo\", [\"foo\"])\r\n # Schedule the process to start\r\n self.pm.startService()\r\n # advance the reactor to start the process\r\n self.reactor.advance(0)\r\n self.assertTrue(\"foo\" in self.pm.protocols)","def start_launch(self, _, **kwargs):\n self._handle_lifecycle = False if self._rp.launch_id else True\n self._launch_id = self._rp.launch_id or self._rp.start_launch(\n name=self._cfg.launch_name,\n start_time=timestamp(),\n attributes=self._get_launch_attributes(),\n description=self._cfg.launch_description,\n rerun=self._cfg.rerun,\n rerun_of=self._cfg.rerun_of,\n **kwargs,\n )","def _launchAgentProcess( self ):\n return subprocess.Popen( [ sys.executable, os.path.join( sys.path[0], 'agentProcess.py' ), str( _processPid ) ], stdin=subprocess.PIPE, stdout=subprocess.PIPE )","async def start_program(self):\n program_payload = self._program[\"program\"]\n await self._send_program_message(program_payload)","def start(self):\n self.parent.start(auto_terminate=False)\n self.started = True","def start(self, hook_url=None):\n\n self.on_start()\n\n if hook_url:\n self.register(hook_url=hook_url)\n\n else:\n p = Process(target=self.run)\n p.daemon = True\n p.start()\n return p","def start(self):\n\t\treturn Job(SDK.PrlVm_Start(self.handle)[0])","def _spawn_simple_process(self, process_id, name, module, cls, config, proc_attr):\n process_instance = self._create_process_instance(process_id, name, module, cls, config, proc_attr)\n # Add publishers if any...\n publish_streams = get_safe(config, \"process.publish_streams\")\n pub_names = self._set_publisher_endpoints(process_instance, publish_streams)\n\n # cleanup method to delete process queue (@TODO: leaks a bit here - should use XOs)\n def cleanup(*args):\n for name in pub_names:\n p = getattr(process_instance, name)\n p.close()\n\n proc = self.proc_sup.spawn(name=process_instance.id,\n service=process_instance,\n listeners=[],\n proc_name=process_instance._proc_name,\n cleanup_method=cleanup)\n proc.proc._glname = \"ION Proc %s\" % process_instance._proc_name\n self.proc_sup.ensure_ready(proc, \"_spawn_simple_process for %s\" % process_instance.id)\n\n # map gproc to process_instance\n self._spawned_proc_to_process[proc.proc] = process_instance\n\n # set service's reference to process\n process_instance._process = proc\n\n self._process_init(process_instance)\n self._process_start(process_instance)\n\n return process_instance","def start_game(self):\n env = os.environ.copy()\n hook_path = os.path.join('hook', 'libhook.so')\n game_path = os.path.join(env.get('HOME'), '.local', 'share', 'Steam',\n 'steamapps', 'common', 'Super Hexagon',\n 'SuperHexagon')\n\n env['LD_PRELOAD'] = os.path.abspath(hook_path)\n args = [\"bash\", game_path]\n\n self.controller.handle_keys([])\n\n self.frame_counter = 0\n self.dead_until = None\n\n self.game_process = subprocess.Popen(\n args,\n env=env,\n # stdout=subprocess.DEVNULL,\n )","def start_ex(self, nStartMode = consts.PSM_VM_START, nReserved = 0):\n\t\treturn Job(SDK.PrlVm_StartEx(self.handle, nStartMode, nReserved)[0])","def start(self):\n return self.setup.start","def do_start(self, line):\n\n if not line:\n line = \"cortex\"\n\n # First, check that the name isn't already taken\n clients = self.registry.get_clients()\n if clients.has_key(line):\n print \"A server already exists with that name (%s)\" % line\n return False\n\n subprocess.Popen([\"python\", \"cortex.py\", line])\n # Wait for the system to init\n time.sleep(1)\n print \"Started server, connecting...\"\n return self.do_connect(line)","def _spawn_immediate_process(self, process_id, name, module, cls, config, proc_attr):\n process_instance = self._create_process_instance(process_id, name, module, cls, config, proc_attr)\n self._process_init(process_instance)\n self._process_start(process_instance)\n return process_instance","def start(self):\n self._task.start()","def start(self):\n self._task.start()","def launch_vm(self):\r\n self._print(\"Starting VM\")\r\n options = [self.vboxheadless,'-startvm',self.vm_name]\r\n options.extend(self.vboxheadless_start_options)\r\n self.popen = subprocess.Popen(options)\r\n# result = process.wait()\r\n result = \"(other thread)\"\r\n self._print(\"Started %s\" % result)","def startCommand(self):\n commandLine = \"su - %s -c \\\"%s/startservers \\\" \" % (self.runAsUser, self.boHome)\n return self.submitCommand(commandLine)","def launch(self):\n self._fork()\n self._lock()\n os.setegid(self._user[1])\n os.seteuid(self._user[0])\n self._loop = True\n signal.signal(signal.SIGTERM, self.__signalHandler)\n sys.stdout = self._output\n sys.stderr = self._error\n self._run()\n sys.stdout = self._stdout\n sys.stderr = self._stderr\n os.setegid(0)\n os.seteuid(0)\n self._unlock()","def start(self):\n if self.process:\n return True\n if self.host:\n cmd = \"ssh -Y root@%s\" % self.host\n else:\n cmd = \"su -c\"\n cmd += \" 'echo _GO_ && larchin-0call'\"\n # Run the command as root with pexpect.\n # Return True if it succeeded, else False.\n p = pexpect.spawn(cmd, timeout=None)\n e = p.expect([\"_GO_.*\\n\", pexpect.TIMEOUT, \"Password:\"], 5)\n while e != 0:\n if e == 2:\n ok, pw = ui.textLineDialog(_(\"Please enter root password\"),\n \"larchin: root pw\", pw=True)\n if not ok:\n run_error( _(\"No root password, cancelling run\"))\n return False\n\n p.sendline(pw.strip())\n e = p.expect([\"_GO_.*\\n\", pexpect.TIMEOUT, pexpect.EOF], 5)\n else:\n run_error(_(\"Couldn't start larchin-0call\"))\n return False\n self.process = p\n p.setecho(False)\n\n # Start a thread to read input from 0call.\n command.simple_thread(self.read0call)\n # Perform initialization of the installation system\n ok, textlines = self.xlist(\"init\")\n if not ok:\n run_error(_(\"Couldn't initialize installation system:\\n\\n%s\")\n % \"\\n\".join(textlines))\n return ok","def start(self):\n # it may break during task parsing, for example wrong server name or\n # unsupported characters in the name os spider\n try:\n start_time = datetime.datetime.utcnow()\n self.start_date = start_time\n self.task_data['start_time'] = \\\n time.mktime(self.start_date.timetuple())\n self._start_scrapy_process()\n # self._push_simmetrica_events()\n first_signal = self._get_next_signal(start_time)\n except Exception as ex:\n logger.warning('Error occurred while starting scrapy: %s', ex)\n return False\n try:\n self._run_signal(first_signal, start_time)\n return True\n except FlowError as ex:\n self._signal_failed(first_signal, datetime.datetime.utcnow(), ex)\n self._finish()\n return False","def start(self) -> None:\r\n self._spawn_ffmpeg()","def setUp(self):\n self.p = Process(target = start_server)\n self.p.start()\n time.sleep(0.5)","def start(self):\n\n self._task.start()","def start_server_proc(event, server_cmd, checking_env):\n proc = subprocess.Popen(server_cmd, env=checking_env)\n\n # Blocking termination until event is set.\n event.wait()\n\n # If proc is still running, stop it.\n if proc.poll() is None:\n proc.terminate()","def startapp():","def start(self):\n raise NotImplementedError","def start(self):\n raise NotImplementedError","def start(self):\n raise NotImplementedError","def start(self):\n \n rpc = self.smartstarter.rpcsystem\n \n process = yield self.smartstarter.start()\n \n try:\n \n make_worker_url = yield process.get_function_url(make_worker)\n make_worker_stub = rpc.create_function_stub(make_worker_url)\n \n worker = yield make_worker_stub(\"local\") # TODO remove network\n \n worker.get_function_url = process.get_function_url_stub\n \n worker.reset = rpc.create_local_function_stub(process.reset)\n worker.stop = rpc.create_local_function_stub(process.stop)\n worker.kill = rpc.create_local_function_stub(process.kill)\n worker.stdout = process.stdout.make_stub(rpc)\n worker.stderr = process.stderr.make_stub(rpc)\n worker.exited = process.exited.make_stub(rpc)\n\n except:\n process.kill()\n raise \n \n\n \n # worker.stdout.add_callback(stdout)\n # worker.stderr.add_callback(stderr)\n \n# receiver_stub = rpc.create_local_function_stub(hook.receiver)\n# hookinstall_url = yield process.get_function_url(hook.install_hook)\n# hookinstall_url_stub = rpc.create_function_stub(hookinstall_url)\n# yield hookinstall_url_stub(receiver_stub)\n \n defer.returnValue(worker)","def platform_start(self):\n self.platform.start()","def start(self):\n with self._lock:\n if not self.started():\n self._started = None\n getattr(self.factory, 'start_' + self.class_name())(self)","def launch_new_process(self, config_settings, create_status_output_file):\n # Clear temp folder since a new Core process is to be launched\n self.ext_env_handler.delete_temp_folder_contents()\n\n # create Status file\n if create_status_output_file:\n self.ext_output_status_handler.write_status_file(config_settings.__getattribute__(self.config_public_settings.operation), self.seq_no, status=self.status.Transitioning.lower())\n else:\n self.ext_output_status_handler.update_file(self.seq_no)\n # launch core code in a process and exit extension handler\n process = self.process_handler.start_daemon(self.seq_no, config_settings, self.ext_env_handler)\n self.logger.log(\"exiting extension handler\")\n exit(Constants.ExitCode.Okay)","def start(self) -> None:\n start_thread(super().start, self.__class__.__name__)","async def start(self, regs=None):\n if regs is None:\n regs = reversed(self._regs)\n cmd = \"start{}\".format(self._fmt_regs(regs))\n assert len(cmd) == 5 + 6*8\n self.do(cmd)\n ret = (await self.read(4)).strip()\n if ret != \"ok\":\n raise ValueError(\"start failed\", ret)","async def start(self, raise_on_fail: bool = False) -> None:\n try:\n await self._rpc.start()\n except InvalidPipe:\n if raise_on_fail:\n raise\n self._rpc = None"],"string":"[\n \"def Start(self):\\n\\n\\n\\n assert not self._process, 'Start() can only be called once'\\n self._process = subprocess.Popen(self._args)\",\n \"def start(self):\\n self._proc = self._get_subprocess()\\n self._pid = self._proc.pid\\n self._return_code = None\",\n \"def start(self):\\r\\n return self.start_subprocess()\",\n \"def start_process(options, args):\\n import psutil\\n import process_starter\\n from synergy.system import process_helper\\n\\n try:\\n pid = process_helper.get_process_pid(options.app)\\n if pid is not None:\\n if psutil.pid_exists(pid):\\n message = 'ERROR: Process %r is already running with pid %r\\\\n' % (options.app, pid)\\n sys.stderr.write(message)\\n sys.exit(1)\\n\\n if not options.interactive:\\n # this block triggers if the options.interactive is not defined or is False\\n process_helper.start_process(options.app, args)\\n else:\\n process_starter.start_by_process_name(options.app, args)\\n except Exception as e:\\n sys.stderr.write('Exception on starting %s : %s \\\\n' % (options.app, str(e)))\\n traceback.print_exc(file=sys.stderr)\",\n \"def run(self):\\n self.process.start()\",\n \"def reallyStartProcess(self, name):\\n if name in self.protocols:\\n return\\n p = self.protocols[name] = DelayedStartupLoggingProtocol()\\n p.service = self\\n p.name = name\\n procObj, env, uid, gid = self.processes[name]\\n self.timeStarted[name] = time.time()\\n\\n childFDs = {0: \\\"w\\\", 1: \\\"r\\\", 2: \\\"r\\\"}\\n\\n childFDs.update(procObj.getFileDescriptors())\\n\\n procObj.starting()\\n\\n args = procObj.getCommandLine()\\n\\n self._reactor.spawnProcess(\\n p, args[0], args, uid=uid, gid=gid, env=env,\\n childFDs=childFDs\\n )\",\n \"def start(self, process_id=None):\\n try:\\n self.process = psutil.Process(process_id)\\n logging.debug(self.process.connections())\\n logging.debug(self.process.ppid())\\n return \\\"Process Started\\\"\\n except Exception as e:\\n logging.exception(e)\\n return \\\"Process doesnt exists\\\"\",\n \"def start(self) -> None:\\n JavaGate().exec_process_instance(\\n self._user,\\n self._project,\\n self.name,\\n \\\"\\\",\\n self.worker_group,\\n self.warning_type,\\n self.warning_group_id,\\n 24 * 3600,\\n )\",\n \"def start(self):\\n control_process = mp.Process(target = self._start, args = [])\\n control_process.start()\",\n \"def start():\\n global running\\n # os.system('python3 /Users/bowenwaugh/Documents/GA/GA_Puzzles/simple.py')\\n global process\\n process = Popen(['python3', '/Users/bowenwaugh/Documents/GA/GA_Puzzles/simple.py'])\\n running = True\",\n \"def start_process(self, args):\\n try:\\n with open(os.devnull, 'w') as devnull:\\n popenObj = subprocess.Popen(\\n args, stdout=devnull, stderr=subprocess.PIPE, cwd=\\\"/tmp/\\\")\\n popenObj.name = args\\n return popenObj\\n except Exception as e:\\n self.logger.error(\\n \\\"Cannot start process %s due to reason:%s\\\", args, e)\\n raise e\",\n \"def start(self):\\n if self._is_launched.is_set():\\n self._log(\\\"warning\\\", \\\"try to start an already started process\\\")\\n return False\\n\\n self._popen = Popen(shlex.split(self.command), bufsize=0, executable=None, stdin=PIPE, stdout=PIPE,\\n stderr=self.stderr, close_fds=False, shell=False, cwd=None, env=None,\\n universal_newlines=True, startupinfo=None, creationflags=0,\\n preexec_fn=lambda: os.nice(self._priority))\\n\\n self._defunctdog_thread.start()\\n self._stdin_thread.start()\\n self._stdout_thread.start()\\n register_thread(self)\\n self._is_launched.set()\\n self._is_running.set()\",\n \"def start(self):\\n # check for running server\\n if self.running():\\n return False\\n\\n # check for creation in the meantime\\n file_name = os.path.join(self.cache_dir_, MGR_PID_FILE)\\n if os.path.exists(file_name):\\n return\\n\\n # launch child process\\n f = open(file_name, 'w')\\n self.server_pid_ = os.fork()\\n if self.server_pid_ > 0: # parent process\\n # create pid file\\n f.write('%d\\\\n' %(self.server_pid_))\\n else:\\n time.sleep(MGR_SLEEP_TIME)\\n if not self.running():\\n logging.error('Server not started. PID file did not exist')\\n raise ValueError()\\n self.pid_ = self.server_pid_\\n logging.info('Server started with pid %d' %(self.pid_))\\n self.run()\",\n \"def test_startProcessAlreadyStarted(self):\\r\\n self.pm.addProcess(\\\"foo\\\", [\\\"foo\\\"])\\r\\n self.pm.startProcess(\\\"foo\\\")\\r\\n self.assertIdentical(None, self.pm.startProcess(\\\"foo\\\"))\",\n \"def start(self):\\n cmd = self.doCommand(self.args)\\n if cmd is not None:\\n cmd.join()\\n else:\\n self.out = self.error\",\n \"def start_bot(self):\\n self.proc = subprocess.Popen(\\\"./start\\\", stdin=subprocess.PIPE,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t stdout=subprocess.PIPE,\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t cwd=os.path.abspath(self.path))\",\n \"def start_process(self, connection):\\n\\n self.handle_process(connection)\",\n \"def _StartWorkerProcess(self, process_name):\",\n \"def start(self):\\n self.p.start()\",\n \"def do_start(self, str_arg):\\n try:\\n # self.adbc.startActivity(validateString(str_arg))\\n # the above approach failed in unittest complaining device is offline, weird...\\n return self.runAdbCmd('shell am start -n', validateString(str_arg))\\n except RuntimeError:\\n self.resultFlag = False\\n if DEBUG:\\n traceback.print_exc()\",\n \"def run_starter(self, expect_to_fail=False):\\n logging.info(\\\"running starter \\\" + self.name)\\n args = [self.cfg.bin_dir / \\\"arangodb\\\"] + self.hotbackup_args + self.default_starter_args + self.arguments\\n\\n lh.log_cmd(args)\\n self.instance = psutil.Popen(args)\\n logging.info(\\\"my starter has PID:\\\" + str(self.instance.pid))\\n if not expect_to_fail:\\n self.wait_for_logfile()\\n self.wait_for_port_bind()\",\n \"def spawn(self):\\r\\n options = self.config.options\\r\\n\\r\\n if self.pid:\\r\\n msg = 'process %r already running' % self.config.name\\r\\n options.logger.warn(msg)\\r\\n return\\r\\n\\r\\n self.killing = 0\\r\\n self.spawnerr = None\\r\\n self.exitstatus = None\\r\\n self.system_stop = 0\\r\\n self.administrative_stop = 0\\r\\n\\r\\n self.laststart = time.time()\\r\\n\\r\\n self._assertInState(ProcessStates.EXITED, ProcessStates.FATAL,\\r\\n ProcessStates.BACKOFF, ProcessStates.STOPPED)\\r\\n\\r\\n self.change_state(ProcessStates.STARTING)\\r\\n\\r\\n try:\\r\\n filename, argv = self.get_execv_args()\\r\\n except ProcessException as what:\\r\\n self.record_spawnerr(what.args[0])\\r\\n self._assertInState(ProcessStates.STARTING)\\r\\n self.change_state(ProcessStates.BACKOFF)\\r\\n return\\r\\n\\r\\n try:\\r\\n self.dispatchers, self.pipes = self.config.make_dispatchers(self)\\r\\n except OSError as why:\\r\\n code = why.args[0]\\r\\n if code == errno.EMFILE:\\r\\n # too many file descriptors open\\r\\n msg = 'too many open files to spawn %r' % self.config.name\\r\\n else:\\r\\n msg = 'unknown error: %s' % errno.errorcode.get(code, code)\\r\\n self.record_spawnerr(msg)\\r\\n self._assertInState(ProcessStates.STARTING)\\r\\n self.change_state(ProcessStates.BACKOFF)\\r\\n return\\r\\n\\r\\n try:\\r\\n pid = options.fork()\\r\\n except OSError as why:\\r\\n code = why.args[0]\\r\\n if code == errno.EAGAIN:\\r\\n # process table full\\r\\n msg = ('Too many processes in process table to spawn %r' %\\r\\n self.config.name)\\r\\n else:\\r\\n msg = 'unknown error: %s' % errno.errorcode.get(code, code)\\r\\n\\r\\n self.record_spawnerr(msg)\\r\\n self._assertInState(ProcessStates.STARTING)\\r\\n self.change_state(ProcessStates.BACKOFF)\\r\\n options.close_parent_pipes(self.pipes)\\r\\n options.close_child_pipes(self.pipes)\\r\\n return\\r\\n\\r\\n if pid != 0:\\r\\n return self._spawn_as_parent(pid)\\r\\n\\r\\n else:\\r\\n return self._spawn_as_child(filename, argv)\",\n \"def start(self):\\n if self.running:\\n warnings.warn(\\\"ExifTool already running; doing nothing.\\\")\\n return\\n with open(os.devnull, \\\"w\\\") as devnull:\\n procargs = [self.executable, \\\"-stay_open\\\", \\\"True\\\", \\\"-@\\\", \\\"-\\\",\\n \\\"-common_args\\\", \\\"-G\\\", \\\"-n\\\"];\\n procargs.extend(self.addedargs)\\n logging.debug(procargs) \\n self._process = subprocess.Popen(\\n procargs,\\n stdin=subprocess.PIPE, stdout=subprocess.PIPE,\\n stderr=devnull)\\n self.running = True\",\n \"def _start(self):\\n if is_pidfile_stale(self.pidfile):\\n self.pidfile.break_lock()\\n\\n try:\\n self.daemon_context.open()\\n except pidlockfile.AlreadyLocked:\\n pidfile_path = self.pidfile.path\\n raise DaemonRunnerStartFailureError(\\n \\\"PID file %(pidfile_path)r already locked\\\" % vars())\\n\\n pid = os.getpid()\\n message = self.start_message % vars()\\n emit_message(message)\\n\\n self.app.run()\",\n \"def start():\",\n \"def start():\",\n \"def start():\",\n \"def start():\",\n \"def start_process(cmd, supress_output=False):\\n logging.debug(cmd)\\n logging.error(\\\"[tony]cmd:%r\\\" % (cmd))\\n proc = subprocess.Popen(cmd, stdout=None, stderr=subprocess.PIPE)\\n out, err = proc.communicate()\\n rtn_code = proc.returncode\\n\\n if supress_output is False:\\n if out:\\n logging.info(out)\\n if err:\\n logging.error(err)\\n\\n if rtn_code == 0 or rtn_code is None:\\n logging.info('Success: Process return code %s', str(rtn_code))\\n else:\\n logging.error('Error: Process return code %s', str(rtn_code))\\n sys.exit(1)\",\n \"def start_process():\\n global command, process\\n\\n def on_data(data):\\n data = data.decode().strip()\\n print('{}'.format(data))\\n\\n cmd = command.split(' ')\\n\\n if process:\\n process.terminate()\\n\\n process = MySubprocess(cmd, -1, functools.partial(on_data), None, None)\",\n \"def _check_started(f):\\n def inner(self, *args, **kwargs):\\n if self._proc is None:\\n raise ProcessIsNotStartedError('Call start() first to run the process.')\\n return f(self, *args, **kwargs)\\n\\n return inner\",\n \"def start(self):\\n if self.subcommand:\\n os.execv(self.subcommand, [self.subcommand] + self.argv[1:])\\n raise NoStart()\\n \\n if self.subapp:\\n self.subapp.start()\\n raise NoStart()\\n \\n if self.generate_config:\\n self.write_default_config()\\n raise NoStart()\",\n \"def start(self):\\n if self._start is not None:\\n raise ValueError, \\\"task %s already started\\\" % self._name\\n self._start = 1\\n self.run()\",\n \"def Spawn(proc):\\n proc.start()\\n return proc\",\n \"def start(self):\\n self.__current_evaluation_context = self.agent.evaluation_context.create_child_context()\\n self.current_evaluation_context.set_process(self)\\n self.procedure.restart(self.__current_evaluation_context)\\n self.__current_control_node = self.procedure.body\\n self.__last_start_time = self.agent.evaluation_context.get_current_time()\\n\\n self._on_start()\\n self.__state = Process.RUNNING\",\n \"def start(self):\\r\\n cfunc = lib_importer.windll.DAQmxStartTask\\r\\n if cfunc.argtypes is None:\\r\\n with cfunc.arglock:\\r\\n if cfunc.argtypes is None:\\r\\n cfunc.argtypes = [lib_importer.task_handle]\\r\\n\\r\\n error_code = cfunc(self._handle)\\r\\n check_for_error(error_code)\",\n \"def start():\\n\\n start_server()\",\n \"def start(self, *args):\\n if args[0] == 'all':\\n params = args[1:]\\n for x in self.processers.keys():\\n cmd = ['python', 'processmgr.py']\\n cmd.append(x.replace('process', ''))\\n cmd.extend(params)\\n p = subprocess.Popen(cmd,\\n stdin=subprocess.PIPE,\\n stdout=subprocess.PIPE,\\n stderr=subprocess.PIPE,\\n shell=False)\\n self.processers[x] = p\\n print 'run %s' % x\\n else:\\n cmd = ['python', 'processmgr.py']\\n cmd.extend(args)\\n p = subprocess.Popen(cmd,\\n stdin=subprocess.PIPE,\\n stdout=subprocess.PIPE,\\n stderr=subprocess.PIPE,\\n shell=False)\\n \\n self.processers['process%s' % args[0]] = p\\n print 'run process%s.' % args[0]\",\n \"def start(self, reload_from=None):\\n assert not self._process, \\\"server instance already started\\\"\\n pid = Value(\\\"i\\\")\\n self._process = Process(target=self._start,\\n args=(pid, socket_queue),\\n kwargs={\\\"reload_from\\\": reload_from})\\n self._process.start()\\n pid.value = self._process.pid\",\n \"def start():\\n logging.info(\\\"Execution Started\\\")\",\n \"def start_procedure(self):\\n pass\",\n \"def do_start(self,processor):\\n # app_logger = self.construct_logger(rta_constants.PROPERTIES_LOG_FILE)\\n running_dict = {}\\n for item in self.get_running_status():\\n running_dict[item.get('processor')]=item.get('status')\\n\\n if processor == 'spark':\\n if running_dict:\\n if running_dict['spark<spark_worker>'] != 'Running' and running_dict['spark<spark_master>'] != 'Running':\\n try:\\n cmd_line = self.cmd_start_spark\\n cmd = subprocess.Popen([cmd_line],shell=True,stdout=subprocess.PIPE)\\n (output,err) = cmd.communicate()\\n # app_logger.info('*********output logging **************')\\n print(output)\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if running_dict['spark<spark_worker>'] == 'Running' or running_dict['spark<spark_master>'] == 'Running':\\n print('Spark Server is running!! please trying to stop it before it starts.')\\n return\\n else:\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n\\n elif processor == 'tomcat':\\n if running_dict.has_key('tomcat') and running_dict['tomcat'] != 'Running':\\n try:\\n cmd_line = self.cmd_start_tomcat\\n # print('staring tomcat server------->')\\n print cmd_line\\n\\n # 2311 Vpl update to fix problem of catalina shutdown when term exit (10.x timeout)\\n cmd = subprocess.call(['nohup',cmd_line,'start'])\\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n #(output,err) = cmd.communicate()\\n\\n # app_logger.info('*********output logging **************')\\n #print(output)\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('tomcat'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n else:\\n print('Tomcat Server is running!! please trying to stop it before it start.')\\n return\\n\\n elif processor == 'HDFS':\\n #1/5/2017 Commit by JOJO\\n '''\\n if running_dict.has_key('HDFS') and running_dict['HDFS'] != 'Running':\\n try:\\n cmd_line = self.cmd_start_hadoop_hdfs\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n # (output,err) = cmd.communicate()\\n # print(output)\\n # app_logger.info('*********output logging **************')\\n # print(output)\\n print('HDFS has been started!')\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('HDFS'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n else:\\n print('HDFS server is running!! please trying to stop it before it start.')\\n return\\n '''\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n elif processor == 'web_management':\\n if running_dict.has_key('web_management') and running_dict['web_management'] != 'Running':\\n try:\\n cmd_line = 'python '+self.cmd_start_web_management\\n print('starting web_management webserver------->')\\n # print cmd_line\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n (output,err) = cmd.communicate()\\n print(output)\\n # app_logger.info('*********output logging **************')\\n # print(output)\\n print('web_management webserver has been started!')\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('web_management'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n else:\\n print('Flask webserver is running!! please trying to stop it before it start.')\\n return\\n\\n elif processor == 'novelty':\\n if running_dict.has_key('novelty') and running_dict['novelty'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running':\\n try:\\n cmd_line = self.cmd_start_novelty_detector\\n # print('staring novelty------->')\\n # print cmd_line\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n # (output,err) = cmd.communicate()\\n\\n # app_logger.info('*********output logging **************')\\n print('novelty has been started!')\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('novelty'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n elif running_dict['novelty'] == 'Running':\\n print('novelty processor is running!! please trying to stop it before it start.')\\n return\\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\\n print('Please start spark first!! trying to use command \\\"start spark\\\"')\\n return\\n\\n elif processor == 'raw_writer':\\n if running_dict.has_key('raw_writer') and running_dict['raw_writer'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running':\\n try:\\n cmd_line = self.cmd_start_raw_writer\\n # print('staring raw_writer------->')\\n # print cmd_line\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n # (output,err) = cmd.communicate()\\n print('raw_writer has been started!')\\n return\\n\\n # app_logger.info('*********output logging **************')\\n # print(output)\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('raw_writer'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n elif running_dict['raw_writer'] == 'Running':\\n print('raw_writer processor is running!! please trying to stop it before it start.')\\n return\\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\\n print('Please start spark first!! trying to use command \\\"start spark\\\"')\\n return\\n\\n elif processor == 'cassandra':\\n if running_dict.has_key('cassandra') and running_dict['cassandra'] != 'Running':\\n try:\\n cmd_line = self.cmd_start_cassandra\\n # print('starting cassandra------->')\\n # print cmd_line\\n\\n #2311 Vpl update to fix problem of cassandra shutdown when term exit (10.x timeout)\\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n cmd = subprocess.call(['nohup',cmd_line])\\n #(output,err) = cmd.communicate()\\n\\n # app_logger.info('*********output logging **************')\\n # print(output)\\n print ('cassandra has been started!')\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('cassandra'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n else:\\n print('cassandra Server is running!! please trying to stop it before it start.')\\n return\\n\\n elif processor == 'kairosDb':\\n if running_dict.has_key('kairosDb') and running_dict['kairosDb'] != 'Running' and running_dict['cassandra']=='Running':\\n try:\\n cmd_line = self.cmd_start_kairosDB\\n # print('staring kairosDB------->')\\n\\n # print cmd_line\\n\\t\\t\\t\\t\\t#2311 Vpl update to fix problem of kairosDb shutdown when term exit (10.x timeout)\\n\\t\\t\\t\\t\\t#cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n cmd = subprocess.call(['nohup',cmd_line,'start'])\\n #(output,err) = cmd.communicate()\\n\\n # app_logger.info('*********output logging **************')\\n print('kairosDb has been started!')\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('kairosDb'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n elif running_dict['cassandra']=='Stopped':\\n print('cassandra required starting before kairosDb is running!! please trying to \\\"start cassandra\\\" first')\\n return\\n elif running_dict['kairosDB'] == 'Running':\\n print('kairosDB Server is running!! please trying to stop it before it starts.')\\n return\\n\\n elif processor == 'grafana':\\n if running_dict.has_key('grafana') and running_dict['grafana'] != 'Running' and running_dict['kairosDb']=='Running':\\n try:\\n cmd_line = self.cmd_start_grafana\\n # print('staring grafana------->')\\n # print cmd_line\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n # (output,err) = cmd.communicate()\\n # app_logger.info('*********output logging **************')\\n # print(output)\\n print ('grafana has been started!')\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('grafana'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n elif running_dict['kairosDb']=='Stopped':\\n print('kairosDb required starting before grafana is running!! please trying to \\\"start kairoseDb\\\" first')\\n return\\n elif running_dict['grafana'] == 'Running':\\n print('grafana Server is running!! please trying to stop it before it starts.')\\n return\\n\\n elif processor == 'kafka':\\n if running_dict.has_key('kafka') and running_dict['kafka'] != 'Running' and running_dict['zookeeper']=='Running':\\n try:\\n cmd_line = self.cmd_start_kafka\\n print('starting kafka------->')\\n # print cmd_line\\n\\n #2311 Vpl update to fix problem of zookeeper shutdown when term exit (10.x timeout)\\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n cmd = subprocess.Popen(cmd_line)\\n # (output,err) = cmd.communicate()\\n # print (output)\\n print ('kafka has been started!')\\n return\\n # app_logger.info('*********output logging **************')\\n # print(output)\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('kafka'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n elif running_dict['zookeeper']=='Stopped':\\n print('zookeeper required starting before kafka is running!! please trying to \\\"start zookeeper\\\" first')\\n return\\n elif running_dict['kafka'] == 'Running':\\n print('Kafka Server is running!! please trying to stop it before it starts.')\\n return\\n\\n elif processor == 'zookeeper':\\n if running_dict.has_key('zookeeper') and running_dict['zookeeper'] != 'Running':\\n try:\\n cmd_line = self.cmd_start_zookeeper\\n # print('staring zookeeper------->')\\n # print (cmd_line)\\n\\n #2311 Vpl update to fix problem of zookeeper shutdown when term exit (10.x timeout)\\n #cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n cmd = subprocess.Popen(cmd_line)\\n # (output,err) = cmd.communicate()\\n # print (output)\\n\\n print('zookeeper has been started!')\\n return\\n except Exception as ex:\\n print(\\\" Failed to stop processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if not running_dict.has_key('zookeeper'):\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n return\\n else:\\n print('Zookeeper Server is running!! please trying to stop it before it starts.')\\n return\\n\\n elif processor == 'accl_processor':\\n if running_dict:\\n if running_dict['accl_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\\n try:\\n cmd_line = self.cmd_start_accl_processor\\n print cmd_line\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n #cmd = subprocess.Popen(['nohup',cmd_line])\\n # cmd = subprocess.Popen(cmd_line)\\n\\n print ('Accelerometer processor has been started')\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if running_dict['accl_processor'] == 'Running':\\n print('Accelerometer processor is running!! please trying to stop it before it starts.')\\n return\\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\\n print('Please start spark first!! trying to use command \\\"start spark\\\"')\\n return\\n elif running_dict['zookeeper'] == 'Stopped':\\n print('Please start zookeeper server first!! trying to use command \\\"start zookeeper\\\"')\\n return\\n elif running_dict['kafka'] == 'Stopped':\\n print('Please start kafka server first!! trying to use command \\\"start kafka\\\"')\\n return\\n else:\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n sys.exit(1)\\n\\n elif processor == 'baro_processor':\\n if running_dict:\\n if running_dict['baro_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\\n try:\\n cmd_line = self.cmd_start_baro_processor\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n print ('Barometer processor has been started')\\n\\t\\t\\tprint (cmd_line)\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if running_dict['baro_processor'] == 'Running':\\n print('Barometer processor is running!! please trying to stop it before it starts.')\\n return\\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\\n print('Please start spark first!! trying to use command \\\"start spark\\\"')\\n return\\n elif running_dict['zookeeper'] == 'Stopped':\\n print('Please start zookeeper server first!! trying to use command \\\"start zookeeper\\\"')\\n return\\n elif running_dict['kafka'] == 'Stopped':\\n print('Please start kafka server first!! trying to use command \\\"start kafka\\\"')\\n return\\n else:\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n sys.exit(1)\\n\\n elif processor == 'gyro_processor':\\n if running_dict:\\n if running_dict['gyro_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\\n try:\\n cmd_line = self.cmd_start_gyro_processor\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n print ('Gyroscope processor has been started')\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if running_dict['gyro_processor'] == 'Running':\\n print('Gyroscope processor is running!! please trying to stop it before it starts.')\\n return\\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\\n print('Please start spark first!! trying to use command \\\"start spark\\\"')\\n return\\n elif running_dict['zookeeper'] == 'Stopped':\\n print('Please start zookeeper server first!! trying to use command \\\"start zookeeper\\\"')\\n return\\n elif running_dict['kafka'] == 'Stopped':\\n print('Please start kafka server first!! trying to use command \\\"start kafka\\\"')\\n return\\n else:\\n print('Please type correct command! You may use \\\"help start\\\" see more help')\\n sys.exit(1)\\n\\n elif processor == 'aggr_processor':\\n if running_dict:\\n if running_dict['aggr_processor'] != 'Running' and running_dict['spark<spark_worker>'] == 'Running' and running_dict['spark<spark_master>'] == 'Running' and running_dict['zookeeper'] == 'Running' and running_dict['kafka'] == 'Running':\\n try:\\n cmd_line = self.cmd_start_aggr_naiv\\n cmd = subprocess.Popen([cmd_line],shell=True,stderr=subprocess.PIPE)\\n print ('Aggregator processor has been started')\\n return\\n except Exception as ex:\\n print(\\\" Failed to run processor with ERROR(%s).\\\", str(ex))\\n sys.exit(1)\\n else:\\n if running_dict['aggr_processor'] == 'Running':\\n print('Aggregator processor is running!! please trying to stop it before it starts.')\\n return\\n elif running_dict['spark<spark_worker>'] == 'Stopped' or running_dict['spark<spark_master>'] == 'Stopped':\\n print('Please start spark first!! trying to use command \\\"start spark\\\"')\\n return\\n elif running_dict['zookeeper'] == 'Stopped':\\n print('Please start zookeeper server first!! trying to use command \\\"start zookeeper\\\"')\\n return\\n elif running_dict['kafka'] == 'Stopped':\\n print('Please start kafka server first!! trying to use command \\\"start kafka\\\"')\\n return\\n else:\\n print ('Please type correct command! You may use \\\"help start\\\" see more help')\\n sys.exit(1)\\n\\n else:\\n print ('Please type correct command! You may use \\\"help start\\\" see more help')\",\n \"def spawn(self):\\n self._proc = subprocess.Popen(\\n self._args, stdout=subprocess.PIPE, stderr=subprocess.PIPE\\n )\",\n \"def fork(self):\\n try:\\n pid = os.fork()\\n if pid > 0:\\n sys.exit(0)\\n except OSError as e:\\n sys.stderr.write(\\\"Fork failed: %d (%s)\\\\n\\\" % (e.errno, e.strerror))\\n sys.exit(1)\",\n \"def start(self):\\n self.start_time = dt.datetime.now()\\n self.call = ' '.join(sys.argv)\\n self.commands = []\",\n \"def _start_scrapy_process(self):\\n cmd = self._parse_task_and_get_cmd()\\n self.process = Popen(cmd, shell=True, stdout=PIPE,\\n stderr=PIPE, preexec_fn=os.setsid)\\n if self.task_data.get('with_best_seller_ranking', False):\\n logger.info('With best seller ranking')\\n cmd = self._parse_task_and_get_cmd(True)\\n self.process_bsr = Popen(cmd, shell=True, stdout=PIPE,\\n stderr=PIPE, preexec_fn=os.setsid)\\n else:\\n logger.info('Skipping best seller')\\n logger.info('Scrapy process started for task #%s',\\n self.task_data.get('task_id', 0))\",\n \"def startApplication(self, application):\\n process = service.IProcess(application)\\n if not self.config['originalname']:\\n launchWithName(process.processName)\\n self.setupEnvironment(\\n self.config['chroot'], self.config['rundir'],\\n self.config['nodaemon'], self.config['umask'],\\n self.config['pidfile'])\\n\\n service.IService(application).privilegedStartService()\\n\\n uid, gid = self.config['uid'], self.config['gid']\\n if uid is None:\\n uid = process.uid\\n if gid is None:\\n gid = process.gid\\n if uid is not None and gid is None:\\n gid = pwd.getpwuid(uid).pw_gid\\n\\n self.shedPrivileges(self.config['euid'], uid, gid)\\n app.startApplication(application, not self.config['no_save'])\",\n \"def start( self ):\\n pathCheck( self.command )\\n cout = '/tmp/' + self.name + '.log'\\n if self.cdir is not None:\\n self.cmd( 'cd ' + self.cdir )\\n self.cmd( self.command + ' ' + self.cargs % self.port +\\n ' 1>' + cout + ' 2>' + cout + '&' )\\n self.execed = False\",\n \"async def start(self, args, env, cwd, port_expected_count,\\n forward_stdout):\\n if self._state != JobState.NEW:\\n raise JobInvalidStateError('job cannot be restarted')\\n self._process = polled_process.PolledProcess(args, env)\\n self._process.on_finished.append(self._process_finished)\\n self._state = JobState.PENDING\\n cwd = pathlib.PurePath(cwd or '')\\n if cwd.is_absolute():\\n raise ValueError('job working directory path must be relative')\\n if port_expected_count:\\n port_discovery = polled_process.ProcessPortDiscovery.EXTERNAL\\n else:\\n port_discovery = polled_process.ProcessPortDiscovery.NONE\\n process_kwargs = dict(\\n port_discovery=port_discovery,\\n workdir=str(self.sandbox.joinpath(cwd)),\\n port_expected_count=port_expected_count\\n )\\n try:\\n if forward_stdout:\\n await self._process.start(\\n stdout=None, stderr=None,\\n **process_kwargs\\n )\\n else:\\n stdout_path = self.sandbox.joinpath(self.FILENAME_STDOUT)\\n stderr_path = self.sandbox.joinpath(self.FILENAME_STDERR)\\n with open(stdout_path, 'wb') as stdout:\\n with open(stderr_path, 'wb') as stderr:\\n await self._process.start(\\n stdout=stdout, stderr=stderr,\\n **process_kwargs\\n )\\n self._state = JobState.RUNNING\\n except Exception:\\n self._state = JobState.FINISHED\\n raise\",\n \"def test_application_start():\\n\\n process = subprocess.Popen(['python', 'runserver.py'],\\n stderr=subprocess.STDOUT,\\n stdout=subprocess.PIPE)\\n\\n assert process.pid\\n debug_logging = process.stdout.read(100)\\n process.kill()\\n assert 'Starting application' in debug_logging\",\n \"def launch(self):\\n \\n # Get local loggers from launchlogger decorator\\n out_log = getattr(self, 'out_log', None)\\n err_log = getattr(self, 'err_log', None)\\n\\n # Check the properties\\n fu.check_properties(self, self.properties)\\n\\n if self.restart:\\n output_file_list = [self.output_path]\\n if fu.check_complete_files(output_file_list):\\n fu.log('Restart is enabled, this step: %s will the skipped' % self.step, out_log, self.global_log)\\n return 0\\n\\n # create command line instruction\\n cmd = self.create_cmd(out_log, err_log)\\n\\n returncode = cmd_wrapper.CmdWrapper(cmd, out_log, err_log, self.global_log).launch()\\n return returncode\",\n \"def _start(self):\\n pass\",\n \"def _restartProcessNormal(self) -> None:\\n\\n if IS_WIN_SVC in sys.argv:\\n reactor.callFromThread(reactor.stop)\\n return\\n\\n python = sys.executable\\n argv = list(sys.argv)\\n\\n def addExe(val):\\n if not \\\"run_peek_\\\" in val:\\n return val\\n if isWindows and not val.lower().endswith(\\\".exe\\\"):\\n return val + \\\".exe\\\"\\n return val\\n\\n argv = map(addExe, argv)\\n os.execl(python, python, *argv)\",\n \"def _start(self, host):\\n pass\",\n \"def start_processing(self):\",\n \"def do_start(self, args) :\\r\\n if not self.wait2start:\\r\\n Thread(target=self.start_loop).start()\\r\\n self.wait2start = True\\r\\n else:\\r\\n self.__Logger.warn(\\\"Waiting for simulators to be ready. To force start, type \\\\\\\"forcestart\\\\\\\"\\\")\",\n \"def start_execution(self):\\n self.send_message(\\\"control.start\\\",None)\",\n \"def _start_process(ngrok_path, config_path=None, auth_token=None, region=None):\\n _ensure_path_ready(ngrok_path)\\n\\n start = [ngrok_path, \\\"start\\\", \\\"--none\\\", \\\"--log=stdout\\\"]\\n if config_path:\\n logger.info(\\\"Starting ngrok with config file: {}\\\".format(config_path))\\n start.append(\\\"--config={}\\\".format(config_path))\\n if auth_token:\\n logger.info(\\\"Overriding default auth token\\\")\\n start.append(\\\"--authtoken={}\\\".format(auth_token))\\n if region:\\n logger.info(\\\"Starting ngrok in region: {}\\\".format(region))\\n start.append(\\\"--region={}\\\".format(region))\\n\\n process = subprocess.Popen(start, stdout=subprocess.PIPE, universal_newlines=True)\\n atexit.register(_terminate_process, process)\\n\\n logger.info(\\\"ngrok process starting: {}\\\".format(process.pid))\\n\\n ngrok_process = NgrokProcess(ngrok_path, config_path, process)\\n _current_processes[ngrok_path] = ngrok_process\\n\\n timeout = time.time() + 15\\n while time.time() < timeout:\\n line = process.stdout.readline()\\n ngrok_process.log_boot_line(line.strip())\\n\\n if ngrok_process.healthy():\\n logger.info(\\\"ngrok process has started: {}\\\".format(ngrok_process.api_url))\\n break\\n elif ngrok_process.startup_error is not None or \\\\\\n ngrok_process.proc.poll() is not None:\\n break\\n\\n if not ngrok_process.healthy():\\n # If the process did not come up in a healthy state, clean up the state\\n kill_process(ngrok_path)\\n\\n if ngrok_process.startup_error is not None:\\n raise PyngrokNgrokError(\\\"The ngrok process errored on start.\\\", ngrok_process.startup_logs,\\n ngrok_process.startup_error)\\n else:\\n raise PyngrokNgrokError(\\\"The ngrok process was unable to start.\\\", ngrok_process.startup_logs)\\n\\n return ngrok_process\",\n \"def _start(self, instance):\\n try:\\n # Attempt to start the VE.\\n # NOTE: The VE will throw a warning that the hostname is invalid\\n # if it isn't valid. This is logged in LOG.error and is not\\n # an indication of failure.\\n _, err = utils.execute('sudo', 'vzctl', 'start', instance['id'])\\n if err:\\n LOG.error(err)\\n except ProcessExecutionError as err:\\n LOG.error(err)\\n raise exception.Error('Failed to start %d' % instance['id'])\\n\\n # Set instance state as RUNNING\\n db.instance_set_state(context.get_admin_context(),\\n instance['id'],\\n power_state.RUNNING)\\n return True\",\n \"def test_startProcess(self):\\r\\n self.pm.addProcess(\\\"foo\\\", [\\\"foo\\\"])\\r\\n self.pm.startProcess(\\\"foo\\\")\\r\\n self.assertIsInstance(self.pm.protocols[\\\"foo\\\"], LoggingProtocol)\\r\\n self.assertIn(\\\"foo\\\", self.pm.timeStarted.keys())\",\n \"def start_service(service_name):\\n subprocess.run([SUPERVISOR_CMD, \\\"start\\\", service_name])\",\n \"def activateButtonClicked(self):\\n print(\\\"trying to start process...\\\")\\n subprocess.Popen(\\\"/usr/local/bin/g13d --config /usr/local/bin/defaults.bind\\\", shell=True)\\n self.checkProcess()\",\n \"def start(self): # pragma: no cover\\n # Start the HAL and Fake Driver\\n if self.hal_cmd_line:\\n self.logger.info(\\\"Start the hal main process...\\\")\\n process_obj = self.start_process(self.hal_cmd_line)\\n self.hal_process = {\\n \\\"process\\\": process_obj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.hal_process)\\n\\n # wait a period for process start and init complete\\n time.sleep(self.PROCESS_INIT_PERIOD)\\n if self.fake_driver_cmd_line:\\n self.logger.info(\\\"Start the fake driver process...\\\")\\n process_obj = self.start_process(self.fake_driver_cmd_line)\\n self.fake_driver_process = {\\n \\\"process\\\": process_obj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.fake_driver_process)\\n\\n for agent_name in self.agent_dict:\\n self.logger.info(\\\"start agent process {}...\\\".format(agent_name))\\n popenObj = self.start_process(self.agent_dict[agent_name])\\n self.agent_obj[agent_name] = {\\n \\\"process\\\": popenObj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.agent_obj[agent_name])\\n\\n # wait a period for agent start and init complete\\n alive_status = False\\n for timeout in range(self.WAITING_FOR_AGENT_STARTUP_RETRY):\\n alive_status = ProcessAgent.is_all_agent_started()\\n if not alive_status:\\n time.sleep(1)\\n if not alive_status:\\n self.logger.error('Not all agent startup normally, reboot the system.')\\n SysTools.sys_failure_reboot(reason='Not all agent startup')\\n SysTools.diagnostic_self_test_fail('Communication error', 'Not all agent startup', 'Severity level=error')\\n\\n # start the manager process\\n self.logger.info(\\\"Start the manager process...\\\")\\n process_obj = self.start_process(self.manager_cmd_line)\\n self.manager_process = {\\n \\\"process\\\": process_obj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.manager_process)\\n\\n # start the fault_manager process\\n self.logger.info(\\\"Start the fault manager process...\\\")\\n process_obj = self.start_process(self.fault_manager_cmd_line)\\n self.manager_process = {\\n \\\"process\\\": process_obj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.manager_process)\\n\\n if self.ptp_driver_cmd_line:\\n self.logger.info(\\\"Start the ptp driver client process...\\\")\\n process_obj = self.start_process(self.ptp_driver_cmd_line)\\n self.ptp_driver_process = {\\n \\\"process\\\": process_obj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.ptp_driver_process)\\n\\n if self.res_hal_cmd_line:\\n self.logger.info(\\\"Start the resource hal client process...\\\")\\n process_obj = self.start_process(self.res_hal_cmd_line)\\n self.res_driver_process = {\\n \\\"process\\\": process_obj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.res_driver_process)\\n\\n if self.ssd_driver_cmd_line:\\n self.logger.info(\\\"Start the ssd driver client process...\\\")\\n process_obj = self.start_process(self.ssd_driver_cmd_line)\\n self.ssd_driver_process = {\\n \\\"process\\\": process_obj,\\n \\\"retries\\\": 0,\\n }\\n manager_debugability.debugability_process_monitor(self.ssd_driver_process)\\n\\n while True:\\n time.sleep(5)\\n # monitor the all process\\n manager_debugability.debugability_traceback()\\n\\n # monitor the manager process, will not retry....\\n if self.manager_process is not None and self.manager_process['process'] is None:\\n self.logger.error(\\n \\\"Manager process is not up, reboot the system.\\\")\\n if self.simulator_flag:\\n sys.exit(-1)\\n else:\\n SysTools.sys_failure_reboot(reason=\\\"Manager process is not up\\\")\\n SysTools.diagnostic_self_test_fail('Processing error', 'Manager process is not up',\\n 'Severity level=error')\\n\\n for agent in self.agent_obj:\\n # check if agent instance create succeed, retry if failure\\n if None is self.agent_obj[agent][\\\"process\\\"]:\\n if self.agent_obj[agent][\\\"retries\\\"] < self.AGENT_RETRIES_MAX:\\n self.logger.warn(\\n 'Agent %s retries %d times', agent, self.agent_obj[agent][\\\"retries\\\"])\\n self.agent_obj[agent][\\\"process\\\"] = self.start_process(self.agent_dict[agent_name])\\n self.agent_obj[agent][\\\"retries\\\"] += 1\\n self.logger.warn('Agent %s retries %d times', agent, self.agent_obj[agent][\\\"retries\\\"])\\n manager_debugability.debugability_process_monitor(self.agent_obj[agent])\\n continue\\n else:\\n # FixMe: reboot system or ?\\n self.logger.error('Agent %s retries times exceed, will reboot...', agent)\\n SysTools.sys_failure_reboot(reason=\\\"Agent {0} retries times exceed\\\".format(agent))\\n SysTools.diagnostic_self_test_fail('Communication error',\\n \\\"Agent {0} retries times exceed\\\".format(agent),\\n 'Severity level=error')\\n\\n if self.check_process_status(self.agent_obj[agent][\\\"process\\\"]) != self.PROCESSSTATE_ALIVE:\\n self.logger.error(\\n '%s process is dead, reboot the system.', agent)\\n # FixMe: reboot system or restart agent\\n SysTools.sys_failure_reboot(reason=\\\"{0} process is dead\\\".format(agent))\\n SysTools.diagnostic_self_test_fail('Processing error', \\\"{0} process is dead\\\".format(agent),\\n 'Severity level=error')\\n # check other critical processes\\n if self.ptp_driver_cmd_line:\\n if self.check_process_status(self.ptp_driver_process[\\\"process\\\"]) != self.PROCESSSTATE_ALIVE:\\n self.logger.error(\\\"ptp hal driver process is dead\\\")\\n SysTools.sys_failure_reboot(reason=\\\"ptp hal driver process is dead\\\")\\n SysTools.diagnostic_self_test_fail('Processing error', \\\"ptp hal driver process is dead\\\",\\n 'Severity level=error')\",\n \"def start_process(check_id, storage, processes):\\n\\n process = Process(target=perform_check, args=(check_id,\\n storage[check_id]['command'],\\n storage[check_id]['freq'],))\\n\\n # Set process name to \\\"Process+check_id\\\"\\n process.name = 'Process{}'.format(check_id)\\n process.start()\\n\\n # Add process to processes dict with key=pid and value=processname\\n processes[process.pid] = process\\n storage[check_id]['pid'] = process.pid\",\n \"def start_as_service(self):\\n from ..program_manager import ProgramManager\\n send_action(ProgramManager.NAME, 'start', self.name)\",\n \"def start(self) -> None:\\n self.should_exit = False\\n self._main_thread = threading.Thread(target=self._wrap_start, daemon=True)\\n self._main_thread.start()\",\n \"def test_startService(self):\\r\\n self.pm.addProcess(\\\"foo\\\", [\\\"foo\\\"])\\r\\n # Schedule the process to start\\r\\n self.pm.startService()\\r\\n # advance the reactor to start the process\\r\\n self.reactor.advance(0)\\r\\n self.assertTrue(\\\"foo\\\" in self.pm.protocols)\",\n \"def start_launch(self, _, **kwargs):\\n self._handle_lifecycle = False if self._rp.launch_id else True\\n self._launch_id = self._rp.launch_id or self._rp.start_launch(\\n name=self._cfg.launch_name,\\n start_time=timestamp(),\\n attributes=self._get_launch_attributes(),\\n description=self._cfg.launch_description,\\n rerun=self._cfg.rerun,\\n rerun_of=self._cfg.rerun_of,\\n **kwargs,\\n )\",\n \"def _launchAgentProcess( self ):\\n return subprocess.Popen( [ sys.executable, os.path.join( sys.path[0], 'agentProcess.py' ), str( _processPid ) ], stdin=subprocess.PIPE, stdout=subprocess.PIPE )\",\n \"async def start_program(self):\\n program_payload = self._program[\\\"program\\\"]\\n await self._send_program_message(program_payload)\",\n \"def start(self):\\n self.parent.start(auto_terminate=False)\\n self.started = True\",\n \"def start(self, hook_url=None):\\n\\n self.on_start()\\n\\n if hook_url:\\n self.register(hook_url=hook_url)\\n\\n else:\\n p = Process(target=self.run)\\n p.daemon = True\\n p.start()\\n return p\",\n \"def start(self):\\n\\t\\treturn Job(SDK.PrlVm_Start(self.handle)[0])\",\n \"def _spawn_simple_process(self, process_id, name, module, cls, config, proc_attr):\\n process_instance = self._create_process_instance(process_id, name, module, cls, config, proc_attr)\\n # Add publishers if any...\\n publish_streams = get_safe(config, \\\"process.publish_streams\\\")\\n pub_names = self._set_publisher_endpoints(process_instance, publish_streams)\\n\\n # cleanup method to delete process queue (@TODO: leaks a bit here - should use XOs)\\n def cleanup(*args):\\n for name in pub_names:\\n p = getattr(process_instance, name)\\n p.close()\\n\\n proc = self.proc_sup.spawn(name=process_instance.id,\\n service=process_instance,\\n listeners=[],\\n proc_name=process_instance._proc_name,\\n cleanup_method=cleanup)\\n proc.proc._glname = \\\"ION Proc %s\\\" % process_instance._proc_name\\n self.proc_sup.ensure_ready(proc, \\\"_spawn_simple_process for %s\\\" % process_instance.id)\\n\\n # map gproc to process_instance\\n self._spawned_proc_to_process[proc.proc] = process_instance\\n\\n # set service's reference to process\\n process_instance._process = proc\\n\\n self._process_init(process_instance)\\n self._process_start(process_instance)\\n\\n return process_instance\",\n \"def start_game(self):\\n env = os.environ.copy()\\n hook_path = os.path.join('hook', 'libhook.so')\\n game_path = os.path.join(env.get('HOME'), '.local', 'share', 'Steam',\\n 'steamapps', 'common', 'Super Hexagon',\\n 'SuperHexagon')\\n\\n env['LD_PRELOAD'] = os.path.abspath(hook_path)\\n args = [\\\"bash\\\", game_path]\\n\\n self.controller.handle_keys([])\\n\\n self.frame_counter = 0\\n self.dead_until = None\\n\\n self.game_process = subprocess.Popen(\\n args,\\n env=env,\\n # stdout=subprocess.DEVNULL,\\n )\",\n \"def start_ex(self, nStartMode = consts.PSM_VM_START, nReserved = 0):\\n\\t\\treturn Job(SDK.PrlVm_StartEx(self.handle, nStartMode, nReserved)[0])\",\n \"def start(self):\\n return self.setup.start\",\n \"def do_start(self, line):\\n\\n if not line:\\n line = \\\"cortex\\\"\\n\\n # First, check that the name isn't already taken\\n clients = self.registry.get_clients()\\n if clients.has_key(line):\\n print \\\"A server already exists with that name (%s)\\\" % line\\n return False\\n\\n subprocess.Popen([\\\"python\\\", \\\"cortex.py\\\", line])\\n # Wait for the system to init\\n time.sleep(1)\\n print \\\"Started server, connecting...\\\"\\n return self.do_connect(line)\",\n \"def _spawn_immediate_process(self, process_id, name, module, cls, config, proc_attr):\\n process_instance = self._create_process_instance(process_id, name, module, cls, config, proc_attr)\\n self._process_init(process_instance)\\n self._process_start(process_instance)\\n return process_instance\",\n \"def start(self):\\n self._task.start()\",\n \"def start(self):\\n self._task.start()\",\n \"def launch_vm(self):\\r\\n self._print(\\\"Starting VM\\\")\\r\\n options = [self.vboxheadless,'-startvm',self.vm_name]\\r\\n options.extend(self.vboxheadless_start_options)\\r\\n self.popen = subprocess.Popen(options)\\r\\n# result = process.wait()\\r\\n result = \\\"(other thread)\\\"\\r\\n self._print(\\\"Started %s\\\" % result)\",\n \"def startCommand(self):\\n commandLine = \\\"su - %s -c \\\\\\\"%s/startservers \\\\\\\" \\\" % (self.runAsUser, self.boHome)\\n return self.submitCommand(commandLine)\",\n \"def launch(self):\\n self._fork()\\n self._lock()\\n os.setegid(self._user[1])\\n os.seteuid(self._user[0])\\n self._loop = True\\n signal.signal(signal.SIGTERM, self.__signalHandler)\\n sys.stdout = self._output\\n sys.stderr = self._error\\n self._run()\\n sys.stdout = self._stdout\\n sys.stderr = self._stderr\\n os.setegid(0)\\n os.seteuid(0)\\n self._unlock()\",\n \"def start(self):\\n if self.process:\\n return True\\n if self.host:\\n cmd = \\\"ssh -Y root@%s\\\" % self.host\\n else:\\n cmd = \\\"su -c\\\"\\n cmd += \\\" 'echo _GO_ && larchin-0call'\\\"\\n # Run the command as root with pexpect.\\n # Return True if it succeeded, else False.\\n p = pexpect.spawn(cmd, timeout=None)\\n e = p.expect([\\\"_GO_.*\\\\n\\\", pexpect.TIMEOUT, \\\"Password:\\\"], 5)\\n while e != 0:\\n if e == 2:\\n ok, pw = ui.textLineDialog(_(\\\"Please enter root password\\\"),\\n \\\"larchin: root pw\\\", pw=True)\\n if not ok:\\n run_error( _(\\\"No root password, cancelling run\\\"))\\n return False\\n\\n p.sendline(pw.strip())\\n e = p.expect([\\\"_GO_.*\\\\n\\\", pexpect.TIMEOUT, pexpect.EOF], 5)\\n else:\\n run_error(_(\\\"Couldn't start larchin-0call\\\"))\\n return False\\n self.process = p\\n p.setecho(False)\\n\\n # Start a thread to read input from 0call.\\n command.simple_thread(self.read0call)\\n # Perform initialization of the installation system\\n ok, textlines = self.xlist(\\\"init\\\")\\n if not ok:\\n run_error(_(\\\"Couldn't initialize installation system:\\\\n\\\\n%s\\\")\\n % \\\"\\\\n\\\".join(textlines))\\n return ok\",\n \"def start(self):\\n # it may break during task parsing, for example wrong server name or\\n # unsupported characters in the name os spider\\n try:\\n start_time = datetime.datetime.utcnow()\\n self.start_date = start_time\\n self.task_data['start_time'] = \\\\\\n time.mktime(self.start_date.timetuple())\\n self._start_scrapy_process()\\n # self._push_simmetrica_events()\\n first_signal = self._get_next_signal(start_time)\\n except Exception as ex:\\n logger.warning('Error occurred while starting scrapy: %s', ex)\\n return False\\n try:\\n self._run_signal(first_signal, start_time)\\n return True\\n except FlowError as ex:\\n self._signal_failed(first_signal, datetime.datetime.utcnow(), ex)\\n self._finish()\\n return False\",\n \"def start(self) -> None:\\r\\n self._spawn_ffmpeg()\",\n \"def setUp(self):\\n self.p = Process(target = start_server)\\n self.p.start()\\n time.sleep(0.5)\",\n \"def start(self):\\n\\n self._task.start()\",\n \"def start_server_proc(event, server_cmd, checking_env):\\n proc = subprocess.Popen(server_cmd, env=checking_env)\\n\\n # Blocking termination until event is set.\\n event.wait()\\n\\n # If proc is still running, stop it.\\n if proc.poll() is None:\\n proc.terminate()\",\n \"def startapp():\",\n \"def start(self):\\n raise NotImplementedError\",\n \"def start(self):\\n raise NotImplementedError\",\n \"def start(self):\\n raise NotImplementedError\",\n \"def start(self):\\n \\n rpc = self.smartstarter.rpcsystem\\n \\n process = yield self.smartstarter.start()\\n \\n try:\\n \\n make_worker_url = yield process.get_function_url(make_worker)\\n make_worker_stub = rpc.create_function_stub(make_worker_url)\\n \\n worker = yield make_worker_stub(\\\"local\\\") # TODO remove network\\n \\n worker.get_function_url = process.get_function_url_stub\\n \\n worker.reset = rpc.create_local_function_stub(process.reset)\\n worker.stop = rpc.create_local_function_stub(process.stop)\\n worker.kill = rpc.create_local_function_stub(process.kill)\\n worker.stdout = process.stdout.make_stub(rpc)\\n worker.stderr = process.stderr.make_stub(rpc)\\n worker.exited = process.exited.make_stub(rpc)\\n\\n except:\\n process.kill()\\n raise \\n \\n\\n \\n # worker.stdout.add_callback(stdout)\\n # worker.stderr.add_callback(stderr)\\n \\n# receiver_stub = rpc.create_local_function_stub(hook.receiver)\\n# hookinstall_url = yield process.get_function_url(hook.install_hook)\\n# hookinstall_url_stub = rpc.create_function_stub(hookinstall_url)\\n# yield hookinstall_url_stub(receiver_stub)\\n \\n defer.returnValue(worker)\",\n \"def platform_start(self):\\n self.platform.start()\",\n \"def start(self):\\n with self._lock:\\n if not self.started():\\n self._started = None\\n getattr(self.factory, 'start_' + self.class_name())(self)\",\n \"def launch_new_process(self, config_settings, create_status_output_file):\\n # Clear temp folder since a new Core process is to be launched\\n self.ext_env_handler.delete_temp_folder_contents()\\n\\n # create Status file\\n if create_status_output_file:\\n self.ext_output_status_handler.write_status_file(config_settings.__getattribute__(self.config_public_settings.operation), self.seq_no, status=self.status.Transitioning.lower())\\n else:\\n self.ext_output_status_handler.update_file(self.seq_no)\\n # launch core code in a process and exit extension handler\\n process = self.process_handler.start_daemon(self.seq_no, config_settings, self.ext_env_handler)\\n self.logger.log(\\\"exiting extension handler\\\")\\n exit(Constants.ExitCode.Okay)\",\n \"def start(self) -> None:\\n start_thread(super().start, self.__class__.__name__)\",\n \"async def start(self, regs=None):\\n if regs is None:\\n regs = reversed(self._regs)\\n cmd = \\\"start{}\\\".format(self._fmt_regs(regs))\\n assert len(cmd) == 5 + 6*8\\n self.do(cmd)\\n ret = (await self.read(4)).strip()\\n if ret != \\\"ok\\\":\\n raise ValueError(\\\"start failed\\\", ret)\",\n \"async def start(self, raise_on_fail: bool = False) -> None:\\n try:\\n await self._rpc.start()\\n except InvalidPipe:\\n if raise_on_fail:\\n raise\\n self._rpc = None\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.79140174","0.7580194","0.73277956","0.7258669","0.724767","0.7187015","0.7183471","0.7030207","0.7023982","0.70187926","0.7007485","0.69129544","0.6842755","0.6826997","0.68093807","0.672955","0.66865253","0.6634776","0.6593981","0.6587125","0.6586577","0.6566555","0.65434563","0.6532303","0.6530813","0.6530813","0.6530813","0.6530813","0.64971465","0.64875907","0.6440239","0.64250714","0.6404629","0.64012635","0.63938284","0.63902014","0.63844526","0.63541657","0.63458914","0.6333013","0.6283198","0.62788904","0.62701374","0.6265256","0.6257093","0.62417495","0.6239104","0.6235003","0.6209381","0.6200457","0.61788493","0.6177837","0.61743265","0.6174005","0.61727715","0.6172638","0.6163399","0.6155497","0.61522657","0.61307806","0.6098381","0.60887665","0.6085919","0.6084334","0.6076052","0.6073166","0.60664475","0.606438","0.60539","0.60481966","0.6046054","0.60364336","0.6035961","0.60321194","0.6027947","0.60234696","0.60172117","0.60167056","0.6012208","0.6008841","0.6008841","0.6006892","0.6002102","0.59914756","0.5981114","0.5979771","0.59789133","0.5977467","0.59683484","0.5962684","0.5960916","0.59545517","0.59545517","0.59545517","0.59484005","0.59475464","0.59446895","0.5939435","0.5937645","0.5936961","0.5932876"],"string":"[\n \"0.79140174\",\n \"0.7580194\",\n \"0.73277956\",\n \"0.7258669\",\n \"0.724767\",\n \"0.7187015\",\n \"0.7183471\",\n \"0.7030207\",\n \"0.7023982\",\n \"0.70187926\",\n \"0.7007485\",\n \"0.69129544\",\n \"0.6842755\",\n \"0.6826997\",\n \"0.68093807\",\n \"0.672955\",\n \"0.66865253\",\n \"0.6634776\",\n \"0.6593981\",\n \"0.6587125\",\n \"0.6586577\",\n \"0.6566555\",\n \"0.65434563\",\n \"0.6532303\",\n \"0.6530813\",\n \"0.6530813\",\n \"0.6530813\",\n \"0.6530813\",\n \"0.64971465\",\n \"0.64875907\",\n \"0.6440239\",\n \"0.64250714\",\n \"0.6404629\",\n \"0.64012635\",\n \"0.63938284\",\n \"0.63902014\",\n \"0.63844526\",\n \"0.63541657\",\n \"0.63458914\",\n \"0.6333013\",\n \"0.6283198\",\n \"0.62788904\",\n \"0.62701374\",\n \"0.6265256\",\n \"0.6257093\",\n \"0.62417495\",\n \"0.6239104\",\n \"0.6235003\",\n \"0.6209381\",\n \"0.6200457\",\n \"0.61788493\",\n \"0.6177837\",\n \"0.61743265\",\n \"0.6174005\",\n \"0.61727715\",\n \"0.6172638\",\n \"0.6163399\",\n \"0.6155497\",\n \"0.61522657\",\n \"0.61307806\",\n \"0.6098381\",\n \"0.60887665\",\n \"0.6085919\",\n \"0.6084334\",\n \"0.6076052\",\n \"0.6073166\",\n \"0.60664475\",\n \"0.606438\",\n \"0.60539\",\n \"0.60481966\",\n \"0.6046054\",\n \"0.60364336\",\n \"0.6035961\",\n \"0.60321194\",\n \"0.6027947\",\n \"0.60234696\",\n \"0.60172117\",\n \"0.60167056\",\n \"0.6012208\",\n \"0.6008841\",\n \"0.6008841\",\n \"0.6006892\",\n \"0.6002102\",\n \"0.59914756\",\n \"0.5981114\",\n \"0.5979771\",\n \"0.59789133\",\n \"0.5977467\",\n \"0.59683484\",\n \"0.5962684\",\n \"0.5960916\",\n \"0.59545517\",\n \"0.59545517\",\n \"0.59545517\",\n \"0.59484005\",\n \"0.59475464\",\n \"0.59446895\",\n \"0.5939435\",\n \"0.5937645\",\n \"0.5936961\",\n \"0.5932876\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4786,"cells":{"query":{"kind":"string","value":"Just return the REPLY_SUCCESS"},"document":{"kind":"string","value":"def _sendStart_result (self, (code, data)) :\n\n assert code == \"REPLY_SUCCESS\"\n\n return code"},"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 _tunnel_success(tunnel_returncode):\n return tunnel_returncode < 0","def execute_success(self, *args, **kwargs):\n return 0, self.shell_output, None","def action_success(self, resp):\n return resp[0] in SUCCESS_CODES","def action_success(self, resp):\n return resp[0] in SUCCESS_CODES","def successful(self) -> bool:\n pass","def successful(self):\n return (self.power_ack & self.datarate_ack & self.channelmask_ack) == 1","def get_success_flag(self):\n return True","def success(self, result):\r\n raise NotImplementedError","def success(self):\n self.succeeded = True","def process(self):\n # return ProcessorResult(True, _('OK'))\n return (True, _(\"OK\"))","def IsOk(self):\r\n \r\n return True","def success(self, appstruct):\n \n return None","def succeed(self,args):\n code, msg, val = args\n if code != 1:\n raise ROSParamException(msg)\n return val","def success(self, msg):\n print \"comm succeded\"\n return msg","def is_success(msg):\n return msg['status'] == 'success'","def result(self, state, action):\n print \"Ashish\"\n return 1","def return_(x):\n return Pass(x)","def success(cls, retval, retvalname='value'):\r\n if isinstance(retval, dict) and retvalname is None:\r\n retval[\"__result__\"] = \"success\" # TODO: right here just modified input dict. That's not good\r\n else:\r\n retval = {\"__result__\": \"success\", retvalname: retval}\r\n return PlatformMessage(method=\"__reply__\", kwargs=retval)","def response(self, context, message):\r\n return True","def ok(self):\n return self.res.ok and not self.rejected","def success(self, target):\n self.passed += 1","def success(self):\n return self.status == 0 and self.stdout","def execute_failure(self, *args, **kwargs):\n return 1, \"\", None","def success(cls, description: str = None) -> MatchResult:\n return cls(True, description)","def is_success(self):\n return self.type_id == STATE_SUCCESS","def success_p(self, input_meaning_p = None):\r\n return self.sys().success_p(input_meaning_p)","def succeeded(self):\n output = self.__call__()\n if output.succeeded:\n return output or True\n return False","def task_success(self, ref2goal=True):\n book_sess = self.match_rate(ref2goal)\n inform_sess = self.inform_F1(ref2goal)\n # book rate == 1 & inform recall == 1\n if (book_sess == 1 and inform_sess[1] == 1) \\\n or (book_sess == 1 and inform_sess[1] is None) \\\n or (book_sess is None and inform_sess[1] == 1):\n return 1\n else:\n return 0","def _check_reply(self):\n self._more_packets_available = False\n try:\n if self._reply is None:\n self._status = (3, '{} without reply'.format(\n REPLAY_INFO[unpack_dint(self._message[:2])]))\n return False\n # Get the type of command\n typ = unpack_uint(self._reply[:2])\n\n # Encapsulation status check\n if unpack_dint(self._reply[8:12]) != SUCCESS:\n self._status = (3, \"{0} reply status:{1}\".format(\n REPLAY_INFO[typ],\n SERVICE_STATUS[unpack_dint(self._reply[8:12])]))\n return False\n\n # Command Specific Status check\n if typ == unpack_uint(ENCAPSULATION_COMMAND[\"send_rr_data\"]):\n status = unpack_usint(self._reply[42:43])\n if status != SUCCESS:\n status_msg = \"send_rr_data reply:{0} - Extend status:{1}\"\n self._status = (3, status_msg.format(\n SERVICE_STATUS[status],\n get_extended_status(self._reply, 42)))\n return False\n else:\n return True\n return True\n except Exception as e:\n raise DataError(e)","def succeeded(self):\n return self.current_reward == 300","def is_success(exit_code):\n return exit_code in [0, 5]","def indicate_success(self):\n pass","def result_success(result):\n\n if 200 <= result < 300:\n return True\n\n return False","def send_command_success(self, sn: TransactionID, destination: tuple, source: tuple):\n pass","def task_success(self, ref2goal=True):\n # for sit in list(turn_data['final_goal_state'].keys()):\n # if turn_data['final_goal_state'][sit] != {}:\n # for ssit in list(turn_data['final_goal_state'][sit].keys()):\n # if turn_data['final_goal_state'][sit][ssit] == '?':\n # return False\n # return True\n book_sess = self.match_rate(ref2goal)\n inform_sess = self.inform_F1(ref2goal)\n # book rate == 1 & inform recall == 1\n if (book_sess == 1 and inform_sess[1] == 1) \\\n or (book_sess == 1 and inform_sess[1] is None) \\\n or (book_sess is None and inform_sess[1] == 1):\n return 1\n else:\n return 0","def respond(self):\n\n if not self.board.board:\n hand_data = HandEvaluator.evaluate_preflop_hand(self.hand)\n elif self.board:\n hand_data = HandEvaluator.evaluate_hand(self.board.cards + list(self.hand))\n if len(self.board.board) == 3:\n return Check()\n elif len(self.board.board) == 4:\n return Check()\n elif len(self.board.board) == 5:\n return Check()\n \n # always return Check() as last resort, because it beats Fold()\n return Check()","def is_success(self):\n return self.status_code >= 200 and self.status_code < 300 and self.uuid","def ok(*args):","def exit_success():\n\tglobal state\n\tprint \"EXIT SUCCESS\"\n\tstate += 2 # increment state to 10","def _fake_next_op(self, context, message, dry_run=False):\r\n if context.channel in self._fake_ops:\r\n channel = context.channel\r\n if len(self._fake_ops[channel]) > 0:\r\n if \"on_message\" not in self._fake_ops[channel][0] \\\r\n or self._fake_message_compare(self._fake_ops[channel][0][\"on_message\"], message):\r\n if \"after\" in self._fake_ops[channel][0] and self._fake_ops[channel][0][\"after\"] > 0:\r\n if dry_run:\r\n return False\r\n self._fake_ops[channel][0][\"after\"] -= 1\r\n return False\r\n if dry_run:\r\n return True\r\n instruction = self._fake_ops[channel].pop(0)\r\n if len(self._fake_ops[channel]) == 0:\r\n del self._fake_ops[channel]\r\n vprint(\"{}: faking reply\".format(self.name))\r\n reply = instruction[\"reply\"]\r\n if \"execute\" in instruction and instruction[\"execute\"] == True:\r\n result = {}\r\n if instruction[\"on_success\"]:\r\n result[\"on_success\"] = reply\r\n if instruction[\"on_failure\"]:\r\n result[\"on_failure\"] = reply\r\n return result\r\n if reply.success:\r\n self._worker.reply(context, PlatformMessage.success(reply.retval, reply.retval_name))\r\n else:\r\n self._worker.reply(context, PlatformMessage.failure(reply.state, reply.errcode))\r\n return True\r\n else:\r\n # TODO: Shouln't be here actually. Raise error!\r\n del self._fake_ops[channel]\r\n return False","def reply_with_code(self, code: int) -> None:","def reply_is_success(reply: dict):\n return (\n reply\n and type(reply) is dict\n and reply.get(\"status\", None)\n and reply[\"status\"] == \"success\"\n )","def answer(self) -> bool:","def _success(self, msg=\"\"):\n if msg:\n self.result[\"message\"] = msg\n self.module.exit_json(**self.result)","def ok(self):\n return self._code == 0","def ok(self):\n return self.status_code == 250","def success(self, cb: CircuitBreaker) -> None:","def handle_success(self, err, msg):\n # FIXME: Can we verify that it is actually garbage collected?\n assert \"GOOD:\" in msg.value().decode('utf-8')\n assert err is None\n assert False, \"should never come here\"","def func_case(self):\n test.success(\"\")","def was_successful(self):\n return self._build_proto.status == common.SUCCESS","def __bool__(self):\n return self.is_successful","def success(elements, action=None):\n return Result(True, elements, action)","def is_successful(self):\n\t\treturn randint(1, 100) <= self.get_success_probability()","def success(self, message, *args, **kwargs):\n self.counters[\"success\"] += 1\n self._write(message.format(*args, **kwargs), SUCCESS)","def successful_response(self):\n self._requests_successful += 1","def resp200(msg):\n return Resp({'message':msg, 'success':True})","def kinbot(self):\n self.success = False","def check_response(rv):\n if rv != 'OK':\n print \"No message found\"\n return False\n return True","def is_success(self):\r\n if self.status_code < 400:\r\n return True\r\n return False","def is_success(self):\r\n if self.status_code < 400:\r\n return True\r\n return False","def _is_successful(response) -> bool:\n return response.status_code == 200","def is_ok(r) -> bool:\n\tif r.status_code == 200:\n\t\treturn True","def success_message_code(response_obj, check_util=None):\n if check_util:\n success = check_util(response_obj)\n phrase, status = assign_message_code(success)\n else:\n success = True\n phrase, status = response_obj.reason, response_obj.status_code\n return success, phrase, status","def _response_success(self, msg, msgID):\r\n if not self._status:\r\n # Can not help it if the response takes some time and in the mean\r\n # time the interface is disabled; therefore, don't raise an error\r\n # instead just skip sending the response\r\n return\r\n\r\n self._conn.sendMessage(self._iTag, self._clsName, msg, msgID)","def post_craft(self, craft_result, **kwargs):\n if craft_result:\n self.msg(self._format_message(self.success_message))\n elif self.failure_message:\n self.msg(self._format_message(self.failure_message))\n\n if craft_result or self.consume_on_fail:\n # consume the inputs\n for obj in self.validated_consumables:\n obj.delete()\n\n return craft_result","def send_message(self):\r\n return \"success\"","def has_success(self) -> bool:\n return self._has_success","def ReturnCode(rc):\r\n return _hiew.ReturnCode(rc)","def checkSelfReply(body):\n return 'WHAT IS MY PURPOSE' in body","def assign_message_code(success: bool):\n return (HTTPStatus.OK.phrase, HTTPStatus.OK) if success\\\n else (HTTPStatus.INTERNAL_SERVER_ERROR.phrase, HTTPStatus.INTERNAL_SERVER_ERROR)","def testReturn(self):\n\t\tx = BaseAction('x')\n\t\tself.failUnless(x.record() == x)","def test_rsp_success(self):\n\n def handle(event):\n return 0x0000, event.modification_list\n\n self.ae = ae = AE()\n ae.acse_timeout = 5\n ae.dimse_timeout = 5\n ae.network_timeout = 5\n ae.add_supported_context(ModalityPerformedProcedureStep)\n scp = ae.start_server(\n (\"localhost\", 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]\n )\n\n ae.add_requested_context(ModalityPerformedProcedureStep)\n assoc = ae.associate(\"localhost\", 11112)\n assert assoc.is_established\n\n ds = Dataset()\n ds.PatientName = \"Test^test\"\n status, ds = assoc.send_n_set(\n ds, ModalityPerformedProcedureStep, \"1.2.840.10008.5.1.1.40.1\"\n )\n assert status.Status == 0x0000\n assert ds.PatientName == \"Test^test\"\n assoc.release()\n assert assoc.is_released\n\n scp.shutdown()","def update_ret(self, space_no, field_types, key_tuple, op_list):\n d = self.replyQueue.get()\n packet = RequestUpdate(self.charset, self.errors, d._ipro_request_id,\n space_no, Request.TNT_FLAG_RETURN, key_tuple, op_list)\n self.transport.write(bytes(packet))\n return d.addCallback(self.handle_reply, self.charset, self.errors, field_types)","def OnSuccess(self):\n pass","def _sendVersion_result (self, (code, data)) :\n\n assert code == \"REPLY_HELLO\"\n\n return data","def _is_return(self, words):\n if words[0] == 'return':\n if len(words) != 1:\n raise SyntaxError(\"File line {}: Invalid number of arguments for C_RETURN command.\".format(self._file_line))\n return True\n else:\n return False","def execute ( self, cmdstr, rlen, repeats=4, **kwargs ):\n dbg(\"EXECUTE(%s,%d,%d,%s)\\n\" % (s2hex(cmdstr), rlen, repeats, repr(kwargs)))\n built = None\n crcerrors = 0\n for repeat in range(repeats):\n # if repeat>0:\n # trace()\n self.resume()\n self.link.lastchar = \"\"\n dbg(\"EXECUTE: tx(%s) -> \" % (s2hex(cmdstr)))\n self.link.tx(cmdstr)\n self.ncmds += 1\n if rlen == 0:\n return None\n\n if kwargs.has_key('timeout'):\n #\n # Wait for a reply until timeout\n #\n r=\"\"\n t=timer()+kwargs['timeout']\n while len(r) < rlen and timer() < t:\n c=self.link.rx(1)\n if c:\n t=timer()+kwargs['timeout']\n r += c\n # if r!= \"\":\n # break\n # if r==\"\":\n # for i in range(256):\n # self.com.tx('\\n')\n # c = self.com.rx(1)\n # if c=='!':\n # dbg(\"Sent %d \\\\n\\n\" % (i+1))\n # break\n # # raise Exception(\"\\nCOMMAND FAIL: [%s] -> [%s]\\n\" % (s2hex(cmdstr), s2hex(r)))\n # else:\n # # r += self.com.rx(rlen-1)\n # prev=timer()\n # while len(r)<rlen and timer() < t:\n # r += self.com.rx(1)\n # last=timer()\n # if last-prev > 0.001:\n # trace()\n # prev=last\n \n else:\n r = self.link.rx(rlen)\n\n if r:\n dbg(\"%s\\n\" % s2hex(r))\n else:\n dbg(\"no reply\\n\")\n\n if self.link.lastchar != '#':\n dbg(\" COMMAND FAILED\\n\")\n self.ncmdfails += 1\n continue\n\n r = r[:-1]\n if rlen <= 2:\n return r\n else:\n crc = CRC.check(cmdstr+r)\n if crc == 0:\n if built:\n dbg(\"\\nBUILT REPLY: %s:\" % s2hex(built))\n for i in range(rlen-1):\n if built[i] != r[i]:\n dbg(\" #%d\" % i)\n dbg(\"\\nGOOD REPLY: %s\\n\\n\" % s2hex(r))\n return r[:-2]\n dbg(\" CRC ERROR: 0x%04X\\n\" % crc)\n #\n # CRC error, try to correct it.\n #\n # Bytes are transfered least significant bit\n # first. Inaccurate synchronization of the device can lead\n # to the last transmitted bit (msb) of bytes to be\n # defective:\n #\n # * If the device estimated the baudrate a little too\n # high, the host can sample the stop bit (1) instead of\n # the msb. This leads to an error only if the original\n # msb is 0, then it is corrected by setting the msb back\n # to 0. Only bytes whose received msb is high are\n # concerned.\n #\n # * If the device estimated the baudrate a little too low,\n # the host can sample bit b6 instead of the msb. This\n # leads to an error only if the original b6 and b7 (msb)\n # are different, then it is corrected by setting b7 to\n # the opposite of b6.\n #\n\n crcerrors += 1\n self.ncrcerrors += 1\n\n if len(r) != rlen-1:\n # dbg(\" BAD REPLY #%d: %s\\n\" % (repeat,s2hex(r)))\n continue\n\n if not built:\n #\n # Display a rule to make finding bytes easier\n #\n dbg(\"\\n \")\n for i in range(rlen-1):\n dbg(\" %02d\" % i)\n dbg(\" BAD REPLY #%d: %s\\n\" % (repeat,s2hex(r)))\n\n updated = False\n if not built:\n built = r\n updated = True\n else:\n #\n # Try to build the correct frame with bytes whose b7,b6\n # bits are different\n #\n positions=[]\n for p in range(rlen-1):\n if ( (ord(built[p]) & 0xC0) == 0xC0\n or (ord(built[p]) & 0xC0) == 0x00 )\\\n and ord(r[p]) != ord(built[p]):\n\n positions.append(p)\n built = built[:p] + r[p] + built[p+1:]\n dbg(\" #%d\" % p)\n updated = True\n if updated:\n # dbg(\"\\nUPDATED BYTES:\")\n # for p in positions:\n # dbg(\" #%d\" % p)\n if CRC.check(cmdstr+built) == 0:\n dbg(\"\\nFRAME FULLY CORRECTED\\n\\n\")\n return built[:-2]\n dbg(\"\\n\")\n\n # Device a little too low?\n # Try setting b7 to the opposite of b6\n #\n if updated:\n for p in range(rlen-1):\n old = ord(built[p])\n if (old & 0xC0) == 0x00 or (old & 0xC0) == 0xC0:\n new = old ^ 0x80\n x = built[:p] + chr(new) + built[p+1:]\n crc = CRC.check(cmdstr+x)\n if crc == 0:\n dbg(\"\\nbyte #%d has been corrected \"\n \"from %02X to %02X\\n\" % (p,old,new))\n return x[:-2]\n\n # s = \"\\nCOMMAND [%s] FAILED.\" % s2hex(cmdstr)\n if len(cmdstr) > 8:\n s = \"\\nCOMMAND [%s ... %s] (%d bytes) FAILED.\" \\\n % (s2hex(cmdstr[:4]), s2hex(cmdstr[-2:]), len(cmdstr))\n else:\n s = \"\\nCOMMAND [%s] FAILED.\" % s2hex(cmdstr)\n if crcerrors > 3:\n s += _(\"\\nMany CRC unrecoverable errors detected. Your baudrate setting (%d) \"\\\n \"may be too high for the device.\\n\" % self.link.serial.baudrate)\n die(s)","def __bool__(self) -> bool:\n return self.return_code == 0","def __bool__(self) -> bool:\n return self.return_code == 0","def __bool__(self) -> bool:\n return self.return_code == 0","def test_success(self):\n\n @sync_performer\n def succeed(dispatcher, intent):\n return intent\n\n dispatcher = lambda _: succeed\n result = sync_perform(dispatcher, Effect(\"foo\"))\n self.assertEqual(result, \"foo\")","def succeed(self) -> bool:\n return self.errorCode is None or len(self.errorCode) < 1","def success(self):\n return self._success","def get_success_message(cls, args, results):\n return cls.success_message","def isOk(self):\n return self._isOk","def smart_run(self, dry_run=False, silent=False,\n out_extension='out',\n success_string=\"Have a nice day.\",\n success_fct=None,\n ignore_meta=False,\n use_CCParser=True):\n origin = os.getcwd()\n if not self.is_successful(out_extension=out_extension,\n success_string=success_string,\n success_fct=success_fct,\n ignore_meta=ignore_meta,\n use_CCParser=use_CCParser):\n # change directory to wdir (submit needs to be run from there)\n os.chdir(self.meta[\"wdir\"])\n self.run(dry_run=dry_run, silent=silent)\n # take care of new status information\n self.meta[\"status\"] = 'PENDING'\n self.save_meta()\n # change back to origin folder\n os.chdir(origin)","def action_success(result):\n response = {\n ControllerConstants.ACTIVITY_STATUS: ControllerConstants.SUCCESS_STATUS,\n }\n if result:\n response[ControllerConstants.RESPONSE] = result\n return create_response(response)","def retry(self):\n # XXX: check whether it is possible to distingish \n # between the error conditions and set meaningfull exitcode\n return False","def testRecord(self):\n\t\tfca = FunctionCallAction(('key',), 'c', 'd', 'ret')\n\t\tself.failUnless(fca.record() == 'ret')","def passed(self):\n if self.result == RESULT_PASS:\n return True\n\n return False","def determine_exit_code(self) -> int:","def get_exit_code(self):","def send_message_success(self, sn: TransactionID, destination: tuple, source: tuple):\n pass","def _default_is_success(status_code):\n\n return status_code >= 200 and status_code < 300","def test_rsp_success(self):\n\n def handle(event):\n return 0x0000\n\n self.ae = ae = AE()\n ae.acse_timeout = 5\n ae.dimse_timeout = 5\n ae.network_timeout = 5\n ae.add_supported_context(BasicFilmSession)\n scp = ae.start_server(\n (\"localhost\", 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]\n )\n\n ae.add_requested_context(BasicFilmSession)\n assoc = ae.associate(\"localhost\", 11112)\n assert assoc.is_established\n\n status = assoc.send_n_delete(BasicFilmSession, \"1.2.840.10008.5.1.1.40.1\")\n assert status.Status == 0x0000\n assoc.release()\n assert assoc.is_released\n\n scp.shutdown()","def success():\n sys.stdout.write('%s[ pass ]%s\\n' % (colors.GREEN, colors.RESET))","def isfailure(self):\n\n return self.proc.returncode != 0","def is_pipe_success(self, pipe_res):\n return reduce(\n lambda x, y: bool(x) & bool(y),\n pipe_res)","def _validate_post(self, value, name, result):\n return result","def respond(cmd,t,p):\n\tt.write(cmd)\n\treturn wait(t,p)"],"string":"[\n \"def _tunnel_success(tunnel_returncode):\\n return tunnel_returncode < 0\",\n \"def execute_success(self, *args, **kwargs):\\n return 0, self.shell_output, None\",\n \"def action_success(self, resp):\\n return resp[0] in SUCCESS_CODES\",\n \"def action_success(self, resp):\\n return resp[0] in SUCCESS_CODES\",\n \"def successful(self) -> bool:\\n pass\",\n \"def successful(self):\\n return (self.power_ack & self.datarate_ack & self.channelmask_ack) == 1\",\n \"def get_success_flag(self):\\n return True\",\n \"def success(self, result):\\r\\n raise NotImplementedError\",\n \"def success(self):\\n self.succeeded = True\",\n \"def process(self):\\n # return ProcessorResult(True, _('OK'))\\n return (True, _(\\\"OK\\\"))\",\n \"def IsOk(self):\\r\\n \\r\\n return True\",\n \"def success(self, appstruct):\\n \\n return None\",\n \"def succeed(self,args):\\n code, msg, val = args\\n if code != 1:\\n raise ROSParamException(msg)\\n return val\",\n \"def success(self, msg):\\n print \\\"comm succeded\\\"\\n return msg\",\n \"def is_success(msg):\\n return msg['status'] == 'success'\",\n \"def result(self, state, action):\\n print \\\"Ashish\\\"\\n return 1\",\n \"def return_(x):\\n return Pass(x)\",\n \"def success(cls, retval, retvalname='value'):\\r\\n if isinstance(retval, dict) and retvalname is None:\\r\\n retval[\\\"__result__\\\"] = \\\"success\\\" # TODO: right here just modified input dict. That's not good\\r\\n else:\\r\\n retval = {\\\"__result__\\\": \\\"success\\\", retvalname: retval}\\r\\n return PlatformMessage(method=\\\"__reply__\\\", kwargs=retval)\",\n \"def response(self, context, message):\\r\\n return True\",\n \"def ok(self):\\n return self.res.ok and not self.rejected\",\n \"def success(self, target):\\n self.passed += 1\",\n \"def success(self):\\n return self.status == 0 and self.stdout\",\n \"def execute_failure(self, *args, **kwargs):\\n return 1, \\\"\\\", None\",\n \"def success(cls, description: str = None) -> MatchResult:\\n return cls(True, description)\",\n \"def is_success(self):\\n return self.type_id == STATE_SUCCESS\",\n \"def success_p(self, input_meaning_p = None):\\r\\n return self.sys().success_p(input_meaning_p)\",\n \"def succeeded(self):\\n output = self.__call__()\\n if output.succeeded:\\n return output or True\\n return False\",\n \"def task_success(self, ref2goal=True):\\n book_sess = self.match_rate(ref2goal)\\n inform_sess = self.inform_F1(ref2goal)\\n # book rate == 1 & inform recall == 1\\n if (book_sess == 1 and inform_sess[1] == 1) \\\\\\n or (book_sess == 1 and inform_sess[1] is None) \\\\\\n or (book_sess is None and inform_sess[1] == 1):\\n return 1\\n else:\\n return 0\",\n \"def _check_reply(self):\\n self._more_packets_available = False\\n try:\\n if self._reply is None:\\n self._status = (3, '{} without reply'.format(\\n REPLAY_INFO[unpack_dint(self._message[:2])]))\\n return False\\n # Get the type of command\\n typ = unpack_uint(self._reply[:2])\\n\\n # Encapsulation status check\\n if unpack_dint(self._reply[8:12]) != SUCCESS:\\n self._status = (3, \\\"{0} reply status:{1}\\\".format(\\n REPLAY_INFO[typ],\\n SERVICE_STATUS[unpack_dint(self._reply[8:12])]))\\n return False\\n\\n # Command Specific Status check\\n if typ == unpack_uint(ENCAPSULATION_COMMAND[\\\"send_rr_data\\\"]):\\n status = unpack_usint(self._reply[42:43])\\n if status != SUCCESS:\\n status_msg = \\\"send_rr_data reply:{0} - Extend status:{1}\\\"\\n self._status = (3, status_msg.format(\\n SERVICE_STATUS[status],\\n get_extended_status(self._reply, 42)))\\n return False\\n else:\\n return True\\n return True\\n except Exception as e:\\n raise DataError(e)\",\n \"def succeeded(self):\\n return self.current_reward == 300\",\n \"def is_success(exit_code):\\n return exit_code in [0, 5]\",\n \"def indicate_success(self):\\n pass\",\n \"def result_success(result):\\n\\n if 200 <= result < 300:\\n return True\\n\\n return False\",\n \"def send_command_success(self, sn: TransactionID, destination: tuple, source: tuple):\\n pass\",\n \"def task_success(self, ref2goal=True):\\n # for sit in list(turn_data['final_goal_state'].keys()):\\n # if turn_data['final_goal_state'][sit] != {}:\\n # for ssit in list(turn_data['final_goal_state'][sit].keys()):\\n # if turn_data['final_goal_state'][sit][ssit] == '?':\\n # return False\\n # return True\\n book_sess = self.match_rate(ref2goal)\\n inform_sess = self.inform_F1(ref2goal)\\n # book rate == 1 & inform recall == 1\\n if (book_sess == 1 and inform_sess[1] == 1) \\\\\\n or (book_sess == 1 and inform_sess[1] is None) \\\\\\n or (book_sess is None and inform_sess[1] == 1):\\n return 1\\n else:\\n return 0\",\n \"def respond(self):\\n\\n if not self.board.board:\\n hand_data = HandEvaluator.evaluate_preflop_hand(self.hand)\\n elif self.board:\\n hand_data = HandEvaluator.evaluate_hand(self.board.cards + list(self.hand))\\n if len(self.board.board) == 3:\\n return Check()\\n elif len(self.board.board) == 4:\\n return Check()\\n elif len(self.board.board) == 5:\\n return Check()\\n \\n # always return Check() as last resort, because it beats Fold()\\n return Check()\",\n \"def is_success(self):\\n return self.status_code >= 200 and self.status_code < 300 and self.uuid\",\n \"def ok(*args):\",\n \"def exit_success():\\n\\tglobal state\\n\\tprint \\\"EXIT SUCCESS\\\"\\n\\tstate += 2 # increment state to 10\",\n \"def _fake_next_op(self, context, message, dry_run=False):\\r\\n if context.channel in self._fake_ops:\\r\\n channel = context.channel\\r\\n if len(self._fake_ops[channel]) > 0:\\r\\n if \\\"on_message\\\" not in self._fake_ops[channel][0] \\\\\\r\\n or self._fake_message_compare(self._fake_ops[channel][0][\\\"on_message\\\"], message):\\r\\n if \\\"after\\\" in self._fake_ops[channel][0] and self._fake_ops[channel][0][\\\"after\\\"] > 0:\\r\\n if dry_run:\\r\\n return False\\r\\n self._fake_ops[channel][0][\\\"after\\\"] -= 1\\r\\n return False\\r\\n if dry_run:\\r\\n return True\\r\\n instruction = self._fake_ops[channel].pop(0)\\r\\n if len(self._fake_ops[channel]) == 0:\\r\\n del self._fake_ops[channel]\\r\\n vprint(\\\"{}: faking reply\\\".format(self.name))\\r\\n reply = instruction[\\\"reply\\\"]\\r\\n if \\\"execute\\\" in instruction and instruction[\\\"execute\\\"] == True:\\r\\n result = {}\\r\\n if instruction[\\\"on_success\\\"]:\\r\\n result[\\\"on_success\\\"] = reply\\r\\n if instruction[\\\"on_failure\\\"]:\\r\\n result[\\\"on_failure\\\"] = reply\\r\\n return result\\r\\n if reply.success:\\r\\n self._worker.reply(context, PlatformMessage.success(reply.retval, reply.retval_name))\\r\\n else:\\r\\n self._worker.reply(context, PlatformMessage.failure(reply.state, reply.errcode))\\r\\n return True\\r\\n else:\\r\\n # TODO: Shouln't be here actually. Raise error!\\r\\n del self._fake_ops[channel]\\r\\n return False\",\n \"def reply_with_code(self, code: int) -> None:\",\n \"def reply_is_success(reply: dict):\\n return (\\n reply\\n and type(reply) is dict\\n and reply.get(\\\"status\\\", None)\\n and reply[\\\"status\\\"] == \\\"success\\\"\\n )\",\n \"def answer(self) -> bool:\",\n \"def _success(self, msg=\\\"\\\"):\\n if msg:\\n self.result[\\\"message\\\"] = msg\\n self.module.exit_json(**self.result)\",\n \"def ok(self):\\n return self._code == 0\",\n \"def ok(self):\\n return self.status_code == 250\",\n \"def success(self, cb: CircuitBreaker) -> None:\",\n \"def handle_success(self, err, msg):\\n # FIXME: Can we verify that it is actually garbage collected?\\n assert \\\"GOOD:\\\" in msg.value().decode('utf-8')\\n assert err is None\\n assert False, \\\"should never come here\\\"\",\n \"def func_case(self):\\n test.success(\\\"\\\")\",\n \"def was_successful(self):\\n return self._build_proto.status == common.SUCCESS\",\n \"def __bool__(self):\\n return self.is_successful\",\n \"def success(elements, action=None):\\n return Result(True, elements, action)\",\n \"def is_successful(self):\\n\\t\\treturn randint(1, 100) <= self.get_success_probability()\",\n \"def success(self, message, *args, **kwargs):\\n self.counters[\\\"success\\\"] += 1\\n self._write(message.format(*args, **kwargs), SUCCESS)\",\n \"def successful_response(self):\\n self._requests_successful += 1\",\n \"def resp200(msg):\\n return Resp({'message':msg, 'success':True})\",\n \"def kinbot(self):\\n self.success = False\",\n \"def check_response(rv):\\n if rv != 'OK':\\n print \\\"No message found\\\"\\n return False\\n return True\",\n \"def is_success(self):\\r\\n if self.status_code < 400:\\r\\n return True\\r\\n return False\",\n \"def is_success(self):\\r\\n if self.status_code < 400:\\r\\n return True\\r\\n return False\",\n \"def _is_successful(response) -> bool:\\n return response.status_code == 200\",\n \"def is_ok(r) -> bool:\\n\\tif r.status_code == 200:\\n\\t\\treturn True\",\n \"def success_message_code(response_obj, check_util=None):\\n if check_util:\\n success = check_util(response_obj)\\n phrase, status = assign_message_code(success)\\n else:\\n success = True\\n phrase, status = response_obj.reason, response_obj.status_code\\n return success, phrase, status\",\n \"def _response_success(self, msg, msgID):\\r\\n if not self._status:\\r\\n # Can not help it if the response takes some time and in the mean\\r\\n # time the interface is disabled; therefore, don't raise an error\\r\\n # instead just skip sending the response\\r\\n return\\r\\n\\r\\n self._conn.sendMessage(self._iTag, self._clsName, msg, msgID)\",\n \"def post_craft(self, craft_result, **kwargs):\\n if craft_result:\\n self.msg(self._format_message(self.success_message))\\n elif self.failure_message:\\n self.msg(self._format_message(self.failure_message))\\n\\n if craft_result or self.consume_on_fail:\\n # consume the inputs\\n for obj in self.validated_consumables:\\n obj.delete()\\n\\n return craft_result\",\n \"def send_message(self):\\r\\n return \\\"success\\\"\",\n \"def has_success(self) -> bool:\\n return self._has_success\",\n \"def ReturnCode(rc):\\r\\n return _hiew.ReturnCode(rc)\",\n \"def checkSelfReply(body):\\n return 'WHAT IS MY PURPOSE' in body\",\n \"def assign_message_code(success: bool):\\n return (HTTPStatus.OK.phrase, HTTPStatus.OK) if success\\\\\\n else (HTTPStatus.INTERNAL_SERVER_ERROR.phrase, HTTPStatus.INTERNAL_SERVER_ERROR)\",\n \"def testReturn(self):\\n\\t\\tx = BaseAction('x')\\n\\t\\tself.failUnless(x.record() == x)\",\n \"def test_rsp_success(self):\\n\\n def handle(event):\\n return 0x0000, event.modification_list\\n\\n self.ae = ae = AE()\\n ae.acse_timeout = 5\\n ae.dimse_timeout = 5\\n ae.network_timeout = 5\\n ae.add_supported_context(ModalityPerformedProcedureStep)\\n scp = ae.start_server(\\n (\\\"localhost\\\", 11112), block=False, evt_handlers=[(evt.EVT_N_SET, handle)]\\n )\\n\\n ae.add_requested_context(ModalityPerformedProcedureStep)\\n assoc = ae.associate(\\\"localhost\\\", 11112)\\n assert assoc.is_established\\n\\n ds = Dataset()\\n ds.PatientName = \\\"Test^test\\\"\\n status, ds = assoc.send_n_set(\\n ds, ModalityPerformedProcedureStep, \\\"1.2.840.10008.5.1.1.40.1\\\"\\n )\\n assert status.Status == 0x0000\\n assert ds.PatientName == \\\"Test^test\\\"\\n assoc.release()\\n assert assoc.is_released\\n\\n scp.shutdown()\",\n \"def update_ret(self, space_no, field_types, key_tuple, op_list):\\n d = self.replyQueue.get()\\n packet = RequestUpdate(self.charset, self.errors, d._ipro_request_id,\\n space_no, Request.TNT_FLAG_RETURN, key_tuple, op_list)\\n self.transport.write(bytes(packet))\\n return d.addCallback(self.handle_reply, self.charset, self.errors, field_types)\",\n \"def OnSuccess(self):\\n pass\",\n \"def _sendVersion_result (self, (code, data)) :\\n\\n assert code == \\\"REPLY_HELLO\\\"\\n\\n return data\",\n \"def _is_return(self, words):\\n if words[0] == 'return':\\n if len(words) != 1:\\n raise SyntaxError(\\\"File line {}: Invalid number of arguments for C_RETURN command.\\\".format(self._file_line))\\n return True\\n else:\\n return False\",\n \"def execute ( self, cmdstr, rlen, repeats=4, **kwargs ):\\n dbg(\\\"EXECUTE(%s,%d,%d,%s)\\\\n\\\" % (s2hex(cmdstr), rlen, repeats, repr(kwargs)))\\n built = None\\n crcerrors = 0\\n for repeat in range(repeats):\\n # if repeat>0:\\n # trace()\\n self.resume()\\n self.link.lastchar = \\\"\\\"\\n dbg(\\\"EXECUTE: tx(%s) -> \\\" % (s2hex(cmdstr)))\\n self.link.tx(cmdstr)\\n self.ncmds += 1\\n if rlen == 0:\\n return None\\n\\n if kwargs.has_key('timeout'):\\n #\\n # Wait for a reply until timeout\\n #\\n r=\\\"\\\"\\n t=timer()+kwargs['timeout']\\n while len(r) < rlen and timer() < t:\\n c=self.link.rx(1)\\n if c:\\n t=timer()+kwargs['timeout']\\n r += c\\n # if r!= \\\"\\\":\\n # break\\n # if r==\\\"\\\":\\n # for i in range(256):\\n # self.com.tx('\\\\n')\\n # c = self.com.rx(1)\\n # if c=='!':\\n # dbg(\\\"Sent %d \\\\\\\\n\\\\n\\\" % (i+1))\\n # break\\n # # raise Exception(\\\"\\\\nCOMMAND FAIL: [%s] -> [%s]\\\\n\\\" % (s2hex(cmdstr), s2hex(r)))\\n # else:\\n # # r += self.com.rx(rlen-1)\\n # prev=timer()\\n # while len(r)<rlen and timer() < t:\\n # r += self.com.rx(1)\\n # last=timer()\\n # if last-prev > 0.001:\\n # trace()\\n # prev=last\\n \\n else:\\n r = self.link.rx(rlen)\\n\\n if r:\\n dbg(\\\"%s\\\\n\\\" % s2hex(r))\\n else:\\n dbg(\\\"no reply\\\\n\\\")\\n\\n if self.link.lastchar != '#':\\n dbg(\\\" COMMAND FAILED\\\\n\\\")\\n self.ncmdfails += 1\\n continue\\n\\n r = r[:-1]\\n if rlen <= 2:\\n return r\\n else:\\n crc = CRC.check(cmdstr+r)\\n if crc == 0:\\n if built:\\n dbg(\\\"\\\\nBUILT REPLY: %s:\\\" % s2hex(built))\\n for i in range(rlen-1):\\n if built[i] != r[i]:\\n dbg(\\\" #%d\\\" % i)\\n dbg(\\\"\\\\nGOOD REPLY: %s\\\\n\\\\n\\\" % s2hex(r))\\n return r[:-2]\\n dbg(\\\" CRC ERROR: 0x%04X\\\\n\\\" % crc)\\n #\\n # CRC error, try to correct it.\\n #\\n # Bytes are transfered least significant bit\\n # first. Inaccurate synchronization of the device can lead\\n # to the last transmitted bit (msb) of bytes to be\\n # defective:\\n #\\n # * If the device estimated the baudrate a little too\\n # high, the host can sample the stop bit (1) instead of\\n # the msb. This leads to an error only if the original\\n # msb is 0, then it is corrected by setting the msb back\\n # to 0. Only bytes whose received msb is high are\\n # concerned.\\n #\\n # * If the device estimated the baudrate a little too low,\\n # the host can sample bit b6 instead of the msb. This\\n # leads to an error only if the original b6 and b7 (msb)\\n # are different, then it is corrected by setting b7 to\\n # the opposite of b6.\\n #\\n\\n crcerrors += 1\\n self.ncrcerrors += 1\\n\\n if len(r) != rlen-1:\\n # dbg(\\\" BAD REPLY #%d: %s\\\\n\\\" % (repeat,s2hex(r)))\\n continue\\n\\n if not built:\\n #\\n # Display a rule to make finding bytes easier\\n #\\n dbg(\\\"\\\\n \\\")\\n for i in range(rlen-1):\\n dbg(\\\" %02d\\\" % i)\\n dbg(\\\" BAD REPLY #%d: %s\\\\n\\\" % (repeat,s2hex(r)))\\n\\n updated = False\\n if not built:\\n built = r\\n updated = True\\n else:\\n #\\n # Try to build the correct frame with bytes whose b7,b6\\n # bits are different\\n #\\n positions=[]\\n for p in range(rlen-1):\\n if ( (ord(built[p]) & 0xC0) == 0xC0\\n or (ord(built[p]) & 0xC0) == 0x00 )\\\\\\n and ord(r[p]) != ord(built[p]):\\n\\n positions.append(p)\\n built = built[:p] + r[p] + built[p+1:]\\n dbg(\\\" #%d\\\" % p)\\n updated = True\\n if updated:\\n # dbg(\\\"\\\\nUPDATED BYTES:\\\")\\n # for p in positions:\\n # dbg(\\\" #%d\\\" % p)\\n if CRC.check(cmdstr+built) == 0:\\n dbg(\\\"\\\\nFRAME FULLY CORRECTED\\\\n\\\\n\\\")\\n return built[:-2]\\n dbg(\\\"\\\\n\\\")\\n\\n # Device a little too low?\\n # Try setting b7 to the opposite of b6\\n #\\n if updated:\\n for p in range(rlen-1):\\n old = ord(built[p])\\n if (old & 0xC0) == 0x00 or (old & 0xC0) == 0xC0:\\n new = old ^ 0x80\\n x = built[:p] + chr(new) + built[p+1:]\\n crc = CRC.check(cmdstr+x)\\n if crc == 0:\\n dbg(\\\"\\\\nbyte #%d has been corrected \\\"\\n \\\"from %02X to %02X\\\\n\\\" % (p,old,new))\\n return x[:-2]\\n\\n # s = \\\"\\\\nCOMMAND [%s] FAILED.\\\" % s2hex(cmdstr)\\n if len(cmdstr) > 8:\\n s = \\\"\\\\nCOMMAND [%s ... %s] (%d bytes) FAILED.\\\" \\\\\\n % (s2hex(cmdstr[:4]), s2hex(cmdstr[-2:]), len(cmdstr))\\n else:\\n s = \\\"\\\\nCOMMAND [%s] FAILED.\\\" % s2hex(cmdstr)\\n if crcerrors > 3:\\n s += _(\\\"\\\\nMany CRC unrecoverable errors detected. Your baudrate setting (%d) \\\"\\\\\\n \\\"may be too high for the device.\\\\n\\\" % self.link.serial.baudrate)\\n die(s)\",\n \"def __bool__(self) -> bool:\\n return self.return_code == 0\",\n \"def __bool__(self) -> bool:\\n return self.return_code == 0\",\n \"def __bool__(self) -> bool:\\n return self.return_code == 0\",\n \"def test_success(self):\\n\\n @sync_performer\\n def succeed(dispatcher, intent):\\n return intent\\n\\n dispatcher = lambda _: succeed\\n result = sync_perform(dispatcher, Effect(\\\"foo\\\"))\\n self.assertEqual(result, \\\"foo\\\")\",\n \"def succeed(self) -> bool:\\n return self.errorCode is None or len(self.errorCode) < 1\",\n \"def success(self):\\n return self._success\",\n \"def get_success_message(cls, args, results):\\n return cls.success_message\",\n \"def isOk(self):\\n return self._isOk\",\n \"def smart_run(self, dry_run=False, silent=False,\\n out_extension='out',\\n success_string=\\\"Have a nice day.\\\",\\n success_fct=None,\\n ignore_meta=False,\\n use_CCParser=True):\\n origin = os.getcwd()\\n if not self.is_successful(out_extension=out_extension,\\n success_string=success_string,\\n success_fct=success_fct,\\n ignore_meta=ignore_meta,\\n use_CCParser=use_CCParser):\\n # change directory to wdir (submit needs to be run from there)\\n os.chdir(self.meta[\\\"wdir\\\"])\\n self.run(dry_run=dry_run, silent=silent)\\n # take care of new status information\\n self.meta[\\\"status\\\"] = 'PENDING'\\n self.save_meta()\\n # change back to origin folder\\n os.chdir(origin)\",\n \"def action_success(result):\\n response = {\\n ControllerConstants.ACTIVITY_STATUS: ControllerConstants.SUCCESS_STATUS,\\n }\\n if result:\\n response[ControllerConstants.RESPONSE] = result\\n return create_response(response)\",\n \"def retry(self):\\n # XXX: check whether it is possible to distingish \\n # between the error conditions and set meaningfull exitcode\\n return False\",\n \"def testRecord(self):\\n\\t\\tfca = FunctionCallAction(('key',), 'c', 'd', 'ret')\\n\\t\\tself.failUnless(fca.record() == 'ret')\",\n \"def passed(self):\\n if self.result == RESULT_PASS:\\n return True\\n\\n return False\",\n \"def determine_exit_code(self) -> int:\",\n \"def get_exit_code(self):\",\n \"def send_message_success(self, sn: TransactionID, destination: tuple, source: tuple):\\n pass\",\n \"def _default_is_success(status_code):\\n\\n return status_code >= 200 and status_code < 300\",\n \"def test_rsp_success(self):\\n\\n def handle(event):\\n return 0x0000\\n\\n self.ae = ae = AE()\\n ae.acse_timeout = 5\\n ae.dimse_timeout = 5\\n ae.network_timeout = 5\\n ae.add_supported_context(BasicFilmSession)\\n scp = ae.start_server(\\n (\\\"localhost\\\", 11112), block=False, evt_handlers=[(evt.EVT_N_DELETE, handle)]\\n )\\n\\n ae.add_requested_context(BasicFilmSession)\\n assoc = ae.associate(\\\"localhost\\\", 11112)\\n assert assoc.is_established\\n\\n status = assoc.send_n_delete(BasicFilmSession, \\\"1.2.840.10008.5.1.1.40.1\\\")\\n assert status.Status == 0x0000\\n assoc.release()\\n assert assoc.is_released\\n\\n scp.shutdown()\",\n \"def success():\\n sys.stdout.write('%s[ pass ]%s\\\\n' % (colors.GREEN, colors.RESET))\",\n \"def isfailure(self):\\n\\n return self.proc.returncode != 0\",\n \"def is_pipe_success(self, pipe_res):\\n return reduce(\\n lambda x, y: bool(x) & bool(y),\\n pipe_res)\",\n \"def _validate_post(self, value, name, result):\\n return result\",\n \"def respond(cmd,t,p):\\n\\tt.write(cmd)\\n\\treturn wait(t,p)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.63443524","0.58786947","0.58400226","0.58400226","0.58263105","0.58013785","0.57647425","0.57602125","0.5742646","0.57332826","0.5728719","0.5713388","0.5706354","0.5559924","0.5558752","0.5544535","0.55265385","0.55088335","0.5459527","0.5437543","0.54271376","0.5426846","0.54181755","0.54091865","0.5402995","0.5401155","0.5393572","0.53782433","0.53753966","0.537299","0.5353333","0.53497726","0.53237605","0.5322524","0.53204346","0.53204066","0.531843","0.53113306","0.5300499","0.529691","0.52931345","0.52611256","0.524945","0.5241767","0.523285","0.5227628","0.5224248","0.52233267","0.5221205","0.52178365","0.52134615","0.5213157","0.52124906","0.52104926","0.5206622","0.52047867","0.5202804","0.5199894","0.5196887","0.5196887","0.51948535","0.5191946","0.5183715","0.51659876","0.51628864","0.5157835","0.5157183","0.51540375","0.515362","0.5141398","0.51389194","0.5132584","0.5129415","0.5123684","0.5118379","0.51164997","0.5110968","0.5110064","0.5110064","0.5110064","0.510931","0.5076756","0.5068761","0.50653976","0.50540495","0.50520945","0.5047503","0.5039637","0.5033777","0.5032815","0.5028121","0.50217015","0.50108826","0.50090235","0.500854","0.50020915","0.499289","0.49926358","0.49914607","0.49910995"],"string":"[\n \"0.63443524\",\n \"0.58786947\",\n \"0.58400226\",\n \"0.58400226\",\n \"0.58263105\",\n \"0.58013785\",\n \"0.57647425\",\n \"0.57602125\",\n \"0.5742646\",\n \"0.57332826\",\n \"0.5728719\",\n \"0.5713388\",\n \"0.5706354\",\n \"0.5559924\",\n \"0.5558752\",\n \"0.5544535\",\n \"0.55265385\",\n \"0.55088335\",\n \"0.5459527\",\n \"0.5437543\",\n \"0.54271376\",\n \"0.5426846\",\n \"0.54181755\",\n \"0.54091865\",\n \"0.5402995\",\n \"0.5401155\",\n \"0.5393572\",\n \"0.53782433\",\n \"0.53753966\",\n \"0.537299\",\n \"0.5353333\",\n \"0.53497726\",\n \"0.53237605\",\n \"0.5322524\",\n \"0.53204346\",\n \"0.53204066\",\n \"0.531843\",\n \"0.53113306\",\n \"0.5300499\",\n \"0.529691\",\n \"0.52931345\",\n \"0.52611256\",\n \"0.524945\",\n \"0.5241767\",\n \"0.523285\",\n \"0.5227628\",\n \"0.5224248\",\n \"0.52233267\",\n \"0.5221205\",\n \"0.52178365\",\n \"0.52134615\",\n \"0.5213157\",\n \"0.52124906\",\n \"0.52104926\",\n \"0.5206622\",\n \"0.52047867\",\n \"0.5202804\",\n \"0.5199894\",\n \"0.5196887\",\n \"0.5196887\",\n \"0.51948535\",\n \"0.5191946\",\n \"0.5183715\",\n \"0.51659876\",\n \"0.51628864\",\n \"0.5157835\",\n \"0.5157183\",\n \"0.51540375\",\n \"0.515362\",\n \"0.5141398\",\n \"0.51389194\",\n \"0.5132584\",\n \"0.5129415\",\n \"0.5123684\",\n \"0.5118379\",\n \"0.51164997\",\n \"0.5110968\",\n \"0.5110064\",\n \"0.5110064\",\n \"0.5110064\",\n \"0.510931\",\n \"0.5076756\",\n \"0.5068761\",\n \"0.50653976\",\n \"0.50540495\",\n \"0.50520945\",\n \"0.5047503\",\n \"0.5039637\",\n \"0.5033777\",\n \"0.5032815\",\n \"0.5028121\",\n \"0.50217015\",\n \"0.50108826\",\n \"0.50090235\",\n \"0.500854\",\n \"0.50020915\",\n \"0.499289\",\n \"0.49926358\",\n \"0.49914607\",\n \"0.49910995\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.56434834"},"document_rank":{"kind":"string","value":"13"}}},{"rowIdx":4787,"cells":{"query":{"kind":"string","value":"Send data to the process's stdin"},"document":{"kind":"string","value":"def sendData (self, data) :\n\n assert len(data) <= 255\n \n return self.sendCommand(\"CMD_IN_DATA_STDIN\", data).addCallback(self._sendData_result)"},"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 write( self, data ):\n os.write( self.stdin.fileno(), data )","def stdin_read(self, data):\n self.write_master(data)","def send_data(sock):\n while True:\n data = sys.stdin.readline()\n sock.send(data.encode())","def send_msg(self, msg):\n self.proc.stdin.write(msg)","def send_stdin(self, s_bytes):\n self._proc.stdin.write(s_bytes)\n self._proc.stdin.flush()","def send(self, data):\n\n if self.subprocess.poll() is None:\n try:\n self.subprocess.stdin.write(\"{}\\n\".format(str(data).encode()))\n except IOError as e:\n logging.warning(\"IPC: Failed to send data! IOError: {}\".format(e))\n\n logging.debug(\"IPC: {}\".format(str(data)))\n else:\n logging.error(\"IPC: Process is dead! Poll: {}\".format(self.subprocess.poll()))","def write( shell, data ):\n #print 'cmd: ' + data\n global waiting\n os.write( shell.stdin.fileno(), data )\n waiting = True","def _direct_stdin_writer(self, msg):\n with self._stdin_lock:\n msg += \"\\n\"\n m = msg.encode(\"utf-8\")\n self._log(\"raw\", \"write to stdin : {0}\".format(m))\n self._popen.stdin.write(m)","def stdin(self):\n pass","def send(self, sendstring):\n self.__proc.stdin.write(sendstring+'\\n')","def _on_stdin_read(self, data):\n if not self.opts[\"udp\"]:\n self.fire(write(data))\n else:\n self.fire(write((self.host, self.port), data))","def _stdin_writer(self):\n self._is_launched.wait()\n while True:\n message = self.stdin_queue.get()\n if message is None or self._is_stopping or not self._is_running.is_set():\n if message is not None:\n log.debug(\"Ignore {0} on process {1} because it's stopped\".format(message, self.name))\n break\n self._direct_stdin_writer(message)\n self._log(\"raw\", \"write to stdin : {0}\".format(message.encode(\"utf-8\")))","def call_and_feed(cmd, data):\n p = Popen(cmd, shell=True, stdin=PIPE)\n p.stdin.write(data)\n p.stdin.close()\n return p.wait()","def sendCommand(self, command):\n if(self.process is not None):\n try:\n self.process.stdin.write(command + '\\n')\n except:\n pass","def write(self, command):\n self.stdin_stream.write(command)\n self.stdin_stream.flush()","def console(self, message):\n if self.proc is None or self.proc.poll() is not None:\n return\n message = message.split('\\n')[0] + '\\n'\n self.proc.stdin.write(message.encode())\n self.proc.stdin.flush()","def sendProcessStdin(self, name, chars):\r\n self._update('sendProcessStdin')\r\n\r\n if isinstance(chars, unicode):\r\n chars = chars.encode('utf-8')\r\n\r\n if not isinstance(chars, basestring):\r\n raise RPCError(Faults.INCORRECT_PARAMETERS, chars)\r\n\r\n group, process = self._getGroupAndProcess(name)\r\n\r\n if process is None:\r\n raise RPCError(Faults.BAD_NAME, name)\r\n\r\n if not process.pid or process.killing:\r\n raise RPCError(Faults.NOT_RUNNING, name)\r\n\r\n try:\r\n process.write(chars)\r\n except OSError as why:\r\n if why.args[0] == errno.EPIPE:\r\n raise RPCError(Faults.NO_FILE, name)\r\n else:\r\n raise\r\n\r\n return True","def test_pipe_to_stdin(self):\n original_stdin = sys.stdin\n with self.pipe_to_stdin() as input:\n self.assertNotEqual(original_stdin, sys.stdin)\n input.write(\"Hello world!\\n\")\n self.assertEqual(sys.stdin.readline(), \"Hello world!\\n\")\n self.assertEqual(original_stdin, sys.stdin)","def put(self, value):\n self.stdin.put(value)","def _replace_stdin(self, text):\n orig = sys.stdin\n sys.stdin = StringIO(text)\n yield\n sys.stdin = orig","def writePipe(self, data):\n if not '[Press a key]' in data:\n subprocess.Popen(\"echo \" + str(data) + \" > /tmp/g13-0\", shell=True)","def stdin_thread(self):\n while True:\n if not self.is_running():\n time.sleep(0.1)\n continue\n msg = self._stdin_queue.get()\n if msg is None:\n break # Ask to stop\n self._say(msg)","def rshell(self, chan):\n logging.debug(\"\")\n logging.debug(\"************************************************************\")\n import select\n import termios\n import tty\n import socket\n from paramiko.py3compat import u\n oldtty = termios.tcgetattr(sys.stdin)\n try:\n tty.setraw(sys.stdin.fileno())\n tty.setcbreak(sys.stdin.fileno())\n chan.settimeout(0.0)\n while True:\n r, w, e = select.select([chan, sys.stdin], [], [])\n if chan in r:\n try:\n x = u(chan.recv(1024))\n if len(x) == 0:\n sys.stdout.write('\\n\\n')\n break\n sys.stdout.write(x)\n sys.stdout.flush()\n except socket.timeout:\n pass\n if sys.stdin in r:\n x = sys.stdin.read(1)\n if len(x) == 0:\n break\n chan.send(x)\n finally:\n termios.tcsetattr(sys.stdin, termios.TCSADRAIN, oldtty)","def get_stdin(self) :\n\t\tif self.__stdin is not None :\n\t\t\t# probably no flush\n\t\t\treturn self.__stdin.getvalue()","def run(self):\n def target():\n # Pass these inputs to STDIN with delays\n for i in self.delayed_inputs:\n if type(i) is int or type(i) is float:\n time.sleep(i)\n elif type(i) is bytes:\n try:\n self.process.stdin.write(i) \n except IOError as e:\n lg.info(\n \"Input: {} failed to write to stdin due to\\n{}\".format(i, e)\n )\n break\n if self.disable_communicate:\n self.process.wait()\n else:\n self.stdout_res, self.stderr_res = self.process.communicate(\n input=self.inputs)\n\n try:\n self.process = Popen(self.command, stdin=self.stdin,\n stdout=self.stdout, stderr=self.stderr,\n start_new_session=True, cwd=self.cwd, env=self.env)\n except OSError:\n lg.error(\"Couldn't Popen command {}\".format(self.command))\n raise\n self.thread = Thread(target=target)\n self.thread.start()","def monitor_stdin():\n while len(sys.stdin.read(1024)):\n pass\n if args.multi:\n client_monitor.notify_parent_exit()\n else:\n trigger_exit(ExitMode.PARENT)","def master_read(self, data):\n self.write_stdout(data)","def communicate(host, port):\n s = socket.socket()\n s.connect((host, port))\n payload = sys.stdin.read().encode()\n s.sendall(payload)\n s.shutdown(socket.SHUT_WR)\n\n output = []\n while True:\n read = s.recv(READ_SIZE)\n if read:\n output.append(read.decode())\n else:\n break\n return ''.join(output)","def parse_stdin(self, data):\n return data","def write(self, command):\n # Write command in bytes plus newline then flush.\n self.proc.stdin.write(bytes(command + \"\\n\", 'ascii'))\n self.proc.stdin.flush()\n\n self.genout()","def _queuing_input(procQueue, stdin_fd, query, valid, default):\n sys.stdin = os.fdopen(stdin_fd)\n procQueue.put(_get_user_input(query, valid, default))","def posix_shell(chan):\n import select\n \n oldtty = termios.tcgetattr(sys.stdin)\n try:\n tty.setraw(sys.stdin.fileno())\n tty.setcbreak(sys.stdin.fileno())\n chan.settimeout(0.0)\n\n while True:\n r, w, e = select.select([chan, sys.stdin], [], [])\n if chan in r:\n try:\n x = chan.recv(1024)\n if len(x) == 0:\n print '\\r\\n*** EOF\\r\\n',\n break\n sys.stdout.write(x)\n sys.stdout.flush()\n except socket.timeout:\n pass\n if sys.stdin in r:\n x = sys.stdin.read(1)\n if len(x) == 0:\n break\n chan.send(x)\n\n finally:\n termios.tcsetattr(sys.stdin, termios.TCSADRAIN, oldtty)","def on_stdin_send(self, debug_console, message, status):\r\n raise NotImplementedError(\r\n 'You must implement \"on_stdin_send()\" to use the \"DebugListener\"'\r\n 'class.')","def read(self):\n global ALIVE\n line = sys.stdin.readline()\n if line:\n self.datalines.append(line.rstrip())\n else:\n ALIVE = False","def _handle_stdin(self, line):\r\n return input(line.replace(STDIN_PROMPT, \"\"))","def reader_thread(self, q):\r\n try:\r\n with self.process.stdout as pipe:\r\n for line in iter(pipe.readline, b''):\r\n q.put(line)\r\n finally:\r\n q.put(None)","def _posix_shell(cls, chan, user_input, iotimeout, iodelay):\n timeout = 60 # 1 mins , only its only applicable to cmcli ssl commands\n result = ''\n input = list(user_input)\n input_end = 1\n try:\n chan.settimeout(iotimeout)\n input.reverse()\n start_time = time.time()\n\n while True:\n # we dont need this hack this is only happenning for ssl tests\n log.debug('Running select')\n r, w, e = select.select([chan, sys.stdin], [], [], 5)\n log.debug('select done')\n\n log.debug('r: %s' % repr(r))\n log.debug('w: %s' % repr(w))\n log.debug('e: %s' % repr(e))\n\n if chan in r:\n log.debug('rlist: wait until ready for reading')\n try:\n log.debug('channel receiving data')\n\n # Start with something\n x = \"DO IT\"\n while len(x) > 0:\n\n # Got stuff. Print it\n time.sleep(iodelay)\n log.debug('get some data')\n x = chan.recv(20480)\n last_prompt = x\n result += x\n log.debug('data received. Write it to stdout')\n sys.stdout.write(x)\n log.debug('flushing stdout')\n sys.stdout.flush()\n\n # We've sent it all. Let's get out\n if len(input) == input_end:\n log.debug('NOTHING LEFT TO SEND')\n\n # Program exited too soon\n if chan.exit_status_ready():\n log.warn('Hit exit status ready sooner than expected')\n chan.send('^D\\n')\n raise\n\n except socket.timeout:\n log.debug('All stdout exhausted')\n if len(input) > input_end:\n x = input.pop()\n log.debug('SENDING to input stream: %s' % x)\n chan_in = '%s' % x\n chan.send(chan_in)\n result += chan_in\n else:\n if chan.exit_status_ready():\n log.info('Program ready to exit')\n break\n\n # Keep reading for cmcli commands since we need to\n # wait until we get back to the prompt\n pass\n\n if not r:\n # FIXME: I think we want to inspect the the last prompt.\n # If it was input, we should probably attempt another select\n # if we are running a cmcli command\n log.debug(\"Nothing to send or unexpected prompt. \" +\n \"Prompt was: %s\" % last_prompt)\n raise\n\n finally:\n\n # Assume the last input is logout\n x = input.pop()\n log.debug('SENDING logout to input stream: %s' % x)\n chan_in = '%s\\n' % x\n chan.send(chan_in)\n result += chan_in\n\n log.debug('Trying to get exit status for command')\n exit_status = chan.recv_exit_status()\n log.debug('Got exit status for command: %s', exit_status)\n x = chan.recv(20480)\n log.debug(\"Last data received: %s\" % x)\n result += x\n sys.stdout.write(x)\n sys.stdout.flush()\n log.debug(\"return from posix shell\")\n return result, exit_status","def send_command(self, data):\n try:\n self.write(data)\n reply = self.read_line()\n \n if reply == \"{}\":\n pass\n else:\n print \"send_command: received bad reply %s\" % (reply)\n sys.exit(1)\n except Exception:\n raise","def push_data(self, data):\n self.incoming.write(data)","def write(self):\n\n while self.dowrite:\n data = sys.stdin.readline()\n if (self.algo == \"rsa\"):\n data = self.ras_encrypt(data)\n if (self.algo == \"des\"):\n data = self.des_encrypt(data)\n if (self.algo == \"3des\"):\n data = self.triple_des_encrypt(data)\n if (self.algo == \"aes\"):\n data = self.aes_encrypt(data)\n self.conn.send(data)\n\n if (data.strip() == self.exitcode):\n self.conn.shutdown(socket.SHUT_RDWR)\n self.conn.close()\n self.dowrite = False","def _send_data_to_nn(self,wbtData):\n\t\tself._neuralNetwork.stdin.write(\"COMM IN\\n\") # this shitty COMM IN is not really needed..to modify in closedloop.py\n\t\tself._neuralNetwork.stdin.write(wbtData)","def prog_input(self, put_idx: int) -> None:\n self.write(int(self.stdin.pop()), put_idx)","def on_data(self, data):\n if data is not None:\n # Send the data to the parent process\n logging.debug('Received raw data : ' + str(data))\n self.mp_queue.put(data)","def keyboard_process(pipe):\n keyboard = WindowsKeyboardListener(pipe)\n keyboard.listen()","def test23a(self):\n self.spawn(\"./binary\").stdin(\"1\").stdin(\"12\").stdin(\"0\").stdin(\"0\").stdin(\"0\").stdin(\"1\").stdin(\"0\").stdin(\"1\").stdin(\"1\").stdin(\"1\").stdout(\"23\\n\").exit(0)","def interact(self):\n print('Ready to interact on socket connected with {}.'.format(self.remote_addr))\n try:\n # get initial input from user\n print('Enter input or press CTRL-D for no input.')\n data = sys.stdin.readline()\n self.remote_socket.sendall(data.encode())\n while True:\n if data.startswith('exit'):\n print('[*] Closing remote shell.')\n self.close()\n break\n # wait for response from target host\n recv_len = 1\n response = ''\n while recv_len:\n data = self.remote_socket.recv(4096)\n recv_len = len(data)\n response += data.decode()\n if recv_len < 4096:\n break\n print(response)\n # get further input from user\n print('Enter further input or press CTRL-D for no input.')\n data = sys.stdin.readline()\n self.remote_socket.sendall(data.encode())\n except Exception as e:\n print(e)\n print('[*] Closing remote shell.')\n self.close()","def run(self, arguments=None, debug=False):\n\n # kill the child process if we receive a terminate signal\n def terminate_child_process(child, signum, frame):\n try:\n if child and signum != signal.SIGINT:\n child.terminate()\n child.wait()\n finally:\n sys.exit()\n\n # poll the pty for available data to read, then push to a queue and signal ready\n def produce_queue(queue, master_fd, slave_fd, evt, proc):\n with os.fdopen(master_fd, 'rb', 0) as task_stream:\n while 1:\n ready = select.select([master_fd], [], [], 0)[0]\n\n # exit if our process has terminated and no more input\n if not ready and proc.poll() is not None:\n os.close(slave_fd)\n evt.set()\n break\n\n if master_fd in ready:\n # POSIX.1 requires PIPE_BUF to be at least 512 bytes, but Linux uses 4096 bytes\n data = os.read(master_fd, 4096)\n\n if not data:\n # reached EOF, signal data ready in case the queue is not empty, then exit\n evt.set()\n break\n else:\n # put data in the queue and signal the consumer thread\n queue.put(data)\n evt.set()\n\n # wait for ready signal, then read data from queue and save to a buffer\n # once the buffer contains an end of line, send that to a callback if defined,\n # then send the line to a file for later processing\n def consume_queue(queue, filename, evt, proc, callback=None):\n streambuffer = []\n with open(filename, 'w+') as fileobj:\n while 1:\n # wait for a signal at most one second at a time so we can check the child process status\n evt.wait(1)\n if queue.empty() and proc.poll() is not None:\n # make sure the last part of the buffer is written out\n if streambuffer:\n if callback:\n callback(streambuffer[0])\n\n fileobj.write(streambuffer[0])\n fileobj.flush()\n break\n elif queue.empty():\n # the queue is empty, but our child process has not exited yet, so data may show up still\n continue\n\n data = queue.get_nowait()\n streambuffer.append(data)\n queue.task_done()\n\n # As soon as we see an end of line from the stream, we should write.\n # Since we could receive many lines per queue chunk, we want to pass\n # a line at a time to our callback.\n if '\\n' in data:\n merged = \"\".join(streambuffer)\n lines = merged.split('\\n')\n\n if len(lines) > 1 and '\\n' not in lines[-1]:\n streambuffer = [lines[-1]]\n lines.pop()\n else:\n streambuffer = []\n\n if callback:\n for x in lines:\n if not x:\n continue\n callback(x)\n\n fileobj.write(\"\".join(lines))\n fileobj.flush()\n\n command_list = self._build_command_list(arguments,debug)\n\n self.logger.info(\"Executing {0}\".format(\" \".join(command_list)))\n\n stdout_name = 'task_stdout_{}'.format(datetime.datetime.utcnow().isoformat())\n stderr_name = 'task_stderr_{}'.format(datetime.datetime.utcnow().isoformat())\n\n stderr = open(stderr_name, 'w+')\n\n # Use pty to provide a workaround for buffer overflow in stdio when monitoring stdout\n master_stdout_fd, slave_stdout_fd = pty.openpty()\n #master_stderr_fd, slave_stderr_fd = pty.openpty()\n #task = subprocess.Popen(command_list, stdout=slave_stdout_fd, stderr=slave_stderr_fd, close_fds=True)\n task = subprocess.Popen(command_list, stdout=slave_stdout_fd, stderr=stderr.fileno(), close_fds=True)\n\n # force termination signal handling of the child process\n signal_handler = functools.partial(cleanup, task)\n signal.signal(signal.SIGINT, signal_handler)\n signal.signal(signal.SIGTERM, signal_handler)\n\n stdout_queue = Queue.Queue()\n stdout_data_ready = threading.Event()\n\n t1 = threading.Thread(target=produce_queue, args=(stdout_queue, master_stdout_fd, slave_stdout_fd, stdout_data_ready, task))\n t1.daemon = True\n t1.start()\n\n t2 = threading.Thread(target=consume_queue, args=(stdout_queue, stdout_name, stdout_data_ready, task, self.callback))\n t2.daemon = True\n t2.start()\n\n #stderr_queue = Queue.Queue()\n #stderr_data_ready = threading.Event()\n\n #t3 = threading.Thread(target=produce_queue, args=(stderr_queue, master_stderr_fd, slave_stderr_fd, stderr_data_ready, task))\n #t3.daemon = True\n #t3.start()\n\n #t4 = threading.Thread(target=consume_queue, args=(stderr_queue, stderr_name, stderr_data_ready, task))\n #t4.daemon = True\n #t4.start()\n\n task.wait()\n\n t1.join()\n t2.join()\n #t3.join()\n #t4.join()\n\n stdout = open(stdout_name, 'rb')\n #stderr = open(stderr_name, 'rb')\n stderr.seek(0)\n\n task_output = {}\n task_output[\"stdout\"] = \"\".join(stdout.readlines())\n task_output[\"stderr\"] = \"\".join(stderr.readlines())\n\n stdout.close()\n stderr.close()\n os.remove(stdout_name)\n os.remove(stderr_name)\n\n if task.returncode != 0:\n self.logger.error(task.returncode)\n raise Exception(task_output[\"stdout\"], task_output[\"stderr\"])\n else:\n return task_output","def subprocess_attach_stdin(cmd, shell=False):\n # type: (str, bool) -> subprocess.Process\n return subprocess.Popen(cmd, shell=shell, stdin=subprocess.PIPE)","def popenCommunicate(args, data='', outputs=None, ignoreErrors=False, poll_interval=0.01):\n stdError = None\n if not ignoreErrors:\n stdError = subprocess.STDOUT\n p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=stdError)\n fcntl.fcntl(p.stdin, fcntl.F_SETFL, os.O_NONBLOCK) # make the file nonblocking\n fcntl.fcntl(p.stdout, fcntl.F_SETFL, os.O_NONBLOCK) # make the file nonblocking\n\n bytesTotal = len(data)\n bytesWritten = 0\n while bytesWritten < bytesTotal:\n try:\n # p.stdin.write() doesn't return anything, so use os.write.\n bytesWritten += os.write(p.stdin.fileno(), data[bytesWritten:])\n except IOError, ex:\n if ex[0] != errno.EAGAIN:\n raise\n sys.exc_clear()\n socket.wait_write(p.stdin.fileno())\n\n p.stdin.close()\n\n if outputs is not None:\n while True:\n try:\n chunk = p.stdout.read(4096) \n if not chunk:\n break\n for output in outputs:\n output.write(chunk)\n except IOError, ex:\n if ex[0] != errno.EAGAIN:\n raise\n sys.exc_clear()\n socket.wait_read(p.stdout.fileno()) \n\n p.stdout.close()\n\n length = None\n try:\n length = len(outputs[0])\n except:\n length = 0\n\n logging.getLogger().debug(\"popenCommunicate() finished. Args: %s, Output Length: %d\" % (args,length))","def input_pipe():\n x = ''\n while True:\n x = yield x\n yield # to keep the generator in lock step with input","def send_cmd(self):\n\n cmd = self.repl_input.get().encode()\n self.serial.write(cmd + b\"\\r\")\n self.repl_input.set(\"\")","def non_blocking_streamlit(process: psutil.Popen) -> None:\n while process.is_running():\n process.communicate()","def _on_read(self, line):\n # Some game logic (or magic)\n line = line.strip()\n logger.info(\"RCV> %s\", line)\n if not line:\n self.stream.close()\n return\n\n self.stream.write(\"echo: %s\\n\" % line)\n\n # Wait for further input on this connection\n self.wait()","def dataReceived(self, data: bytes):\n\n if self.output:\n self.output.write(data) # redirect the message to the server","def run(self):\r\n while self._go.isSet(): #while app is running\r\n if self._check_console_input(): #if something to read on the console\r\n cmd = sys.stdin.readline() #read it\r\n self.inq.put(cmd) #dispatch it tpo the server\r\n response = self.outq.get(timeout=2.0) #wait for an answer\r\n sys.stdout.write(response) #write the answer on the console\r","def start(self, stdin=None, stdout=None, stderr=None):\n logging.debug(\"Starting '%s'\", \" \".join(self.cmd_line))\n self.proc = subprocess.Popen(self.cmd_line,\n stdin=stdin,\n stdout=stdout if stdout\n else subprocess.PIPE,\n stderr=stderr,\n env=self.env)\n self.thread = threading.Thread(target=self.tail)\n self.thread.daemon = True\n self.thread.start()\n self.running = True","def watch(self):\n reader, writer = os.pipe2(0)\n\n pid = os.fork()\n\n # In the child\n if pid == 0:\n tty.setraw(0)\n os.close(reader)\n os.close(2)\n\n os.dup2(writer, 1)\n\n os.execlp(self.__program, self.__program, *self.__args)\n\n sys.exit(1)\n else:\n os.close(writer)\n\n while True:\n result = os.read(reader, 1024)\n if len(result) == 0:\n break\n sys.stdout.write(result.decode('utf-8'))\n\n os.waitpid(pid, 0)","def main():\n dt = DropToken()\n play = True\n while play:\n try:\n line = sys.stdin.readline()\n except KeyboardInterrupt:\n break\n if not line:\n break\n play = dt.inputProcess(line)","def pipestring_process(cmd_string, stdin_string=''):\n f=SpooledTemporaryFile()\n f.write(stdin_string)\n f.seek(0)\n results=process(cmd_string, stdin=f)\n f.close()\n return results","def execute_sbatch(cmd_submit, stdin, env, cmd_nbscript): # pylint: disable=unused-argument\n p = subprocess.Popen(cmd_submit, stdin=subprocess.PIPE, env=env)\n p.stdin.write(stdin)\n p.stdin.close()\n p.wait()\n return p.returncode","def process_data(data):\n bio = BytesIO()\n bio.write(data)\n bio.seek(0)\n process(bio)","def _launch_command(args, out_cb, err_cb, done=None, **kwargs):\n\n def pump_stream(callback, stream):\n \"\"\"Pump the stream\"\"\"\n for line in stream:\n callback(line)\n callback(None)\n\n def joiner():\n \"\"\"Wait for streams to finish, then call done callback\"\"\"\n for th in threads:\n th.join()\n done(process)\n\n kwargs = kwargs.copy()\n in_data = kwargs.get(\"input\")\n if \"input\" in kwargs:\n del kwargs[\"input\"]\n assert kwargs.get(\"stdin\") is None, kwargs[\"stdin\"]\n kwargs[\"stdin\"] = PIPE\n elif \"stdin\" not in kwargs:\n kwargs[\"stdin\"] = DEVNULL\n kwargs.setdefault(\"stdout\", PIPE)\n kwargs.setdefault(\"stderr\", PIPE)\n kwargs[\"universal_newlines\"] = True # Text streams, not byte streams\n process = Popen(args, **kwargs)\n threads = []\n if process.stdout:\n thread = Thread(\n target=pump_stream, args=(out_cb, process.stdout), daemon=True\n )\n thread.start()\n threads.append(thread)\n if process.stderr:\n thread = Thread(\n target=pump_stream, args=(err_cb, process.stderr), daemon=True\n )\n thread.start()\n threads.append(thread)\n if done and threads:\n Thread(target=joiner, daemon=True).start()\n if in_data:\n process.stdin.write(str(in_data, \"utf-8\"))\n process.stdin.close()\n return process","def _process_input(self, fd):\n if fd.fileno() == self._proxyfd.fileno():\n pkt = self._grab_packet(\n lambda data, s=self: s.create_packet(packet=data), fd)\n self._handle_proxy_packet(pkt)\n else:\n Server._process_input(self, fd)","def send(self, payload):\n self.emitter.input(payload)","def rawInput(string):\n if os.name == \"posix\":\n tcflush(sys.stdin, TCIFLUSH)\n return input(string)","def set_up_ipc(self, data_queue, termination_event, stdin=None):\n\n # Store our IPC primitives, ready for future use.\n self.data_queue = data_queue\n self.termination_event = termination_event\n\n # Retrieve our use of the standard input from the parent thread.\n if stdin:\n self.stdin = sys.stdin = stdin","def read_stdin():\n return \"\".join(sys.stdin.readlines()).strip()","def start_stdio_server(self):\n ls = self.language_server(hub=self.hub)\n ls.start(sys.stdin.buffer, sys.stdout.buffer)","def stdin():\n\n while sys.stdin in select.select([sys.stdin], [], [], 0)[0]:\n\n line = sys.stdin.readline()\n\n if not line:\n yield from []\n break\n\n line = line.strip()\n yield line","def hook() -> None:\n real_recv = process.recv_raw\n\n def recv(self: process, numb: int) -> bytes:\n data = real_recv(self, numb)\n # Sometimes the returned data is of type str\n # Accept them by converting them to bytes\n if type(data) == str:\n data = data.encode()\n try:\n stdout_all = self.stdout_all\n except Exception: # pylint: disable=broad-except\n stdout_all = b\"\"\n stdout_all += data\n self.stdout_all = stdout_all\n return data\n\n process.recv_raw = recv","def _process(self):\n\n while True:\n try:\n sockets = [self.master_fd]\n if self.sock:\n sockets.append(self.sock)\n # Don't handle user input while a side command is running.\n if len(self.filter) == 1:\n sockets.append(pty.STDIN_FILENO)\n rfds, _, _ = select.select(sockets, [], [], 0.25)\n except select.error as ex:\n if ex[0] == errno.EAGAIN: # Interrupted system call.\n continue\n raise\n\n if not rfds:\n self._timeout()\n else:\n # Handle one packet at a time to mitigate the side channel\n # breaking into user input.\n if self.master_fd in rfds:\n data = os.read(self.master_fd, 1024)\n self.master_read(data)\n elif pty.STDIN_FILENO in rfds:\n data = os.read(pty.STDIN_FILENO, 1024)\n self.stdin_read(data)\n elif self.sock in rfds:\n data, self.last_addr = self.sock.recvfrom(65536)\n if data[-1] == b'\\n':\n self.log(\"WARNING: the command ending with <nl>. \"\n \"The StreamProxy filter known to fail.\")\n self.log(\"Got command '%s'\" % data.decode('utf-8'))\n command = self.filter_command(data)\n self.log(\"Translated command '{}'\"\n .format(command.decode('utf-8')))\n if command:\n self.write_master(command)\n self.write_master(b'\\n')","def _stdout_reader(self):\n self._is_launched.wait()\n stdout_iterator = iter(self._popen.stdout.readline, b\"\")\n for line in stdout_iterator:\n self._log(\"raw\", \"stdout : {0}\".format(line.strip()))\n self.stdout_queue.put_nowait(line.strip())\n self.stdout_queue.put_nowait(None) # Stop queue consumers","def start(self):\n # Create a pipe so the stream can be captured:\n self.pipe_out, self.pipe_in = os.pipe()\n self.capturedtext = \"\"\n\n # Save a copy of the stream:\n self.streamfd = os.dup(self.origstreamfd)\n\n # Replace the original stream with our write pipe:\n os.dup2(self.pipe_in, self.origstreamfd)","def send_serial_command(data):\n print(data)\n serial_command = data\n SERIAL_PARENT.send(serial_command)\n OUTGOING.append(serial_command)","def process(cmd_string, stdin=None):\n return process_results(process_run(cmd_string, stdin=stdin))","def read_input(inp):\n epoll = select.epoll()\n epoll.register(sys.stdin.fileno(), select.EPOLLIN)\n while inp.running:\n if is_terminated():\n return\n\n events = epoll.poll(1)\n for fileno, event in events:\n line = \"[\"\n while \"[\" in line:\n line = sys.stdin.readline().strip(\",\").strip()\n inp.has_event = True\n try:\n event = json.loads(line)\n if \"instance\" in event:\n inp.callback(event)\n inp.redraw()\n except ValueError:\n pass\n epoll.unregister(sys.stdin.fileno())\n epoll.close()\n inp.has_event = True\n inp.clean_exit = True","def read_input():\n\n read = sys.stdin.readlines()\n\n text = ''\n for line in read:\n text += line\n\n return text","def write_stdout(self, data):\n filt, handler = self.filter[-1]\n data, filtered = filt.filter(data)\n self._write(pty.STDOUT_FILENO, data)\n if filtered:\n self.log(\"Filter matched %d bytes\" % len(filtered))\n self.filter.pop()\n assert callable(handler)\n res = handler(filtered)\n if res:\n self.sock.sendto(res, 0, self.last_addr)","def write(self, data):\r\n try:\r\n char_handle = self._stdinout_characteristic.getHandle()\r\n bytes_sent = 0\r\n while bytes_sent < len(data):\r\n # Computing data to send.\r\n bytes_to_send = min(\r\n self._MAXIMUM_MESSAGE_SIZE_BYTES,\r\n len(data) - bytes_sent\r\n )\r\n data_to_send = data[bytes_sent:bytes_sent + bytes_to_send]\r\n\r\n # Writing data.\r\n self._node.writeCharacteristic(\r\n char_handle,\r\n data_to_send,\r\n True)\r\n bytes_sent += bytes_to_send\r\n\r\n # Calling on-write callback for a debug characteristic.\r\n self.on_write_characteristic(\r\n self._stdinout_characteristic, data_to_send, True)\r\n\r\n return bytes_sent\r\n\r\n except BTLEException as e:\r\n self._node._unexpected_disconnect()","def communicate(args, **kwargs):\n stdin = None\n # When stdin is passed as an argument, use it as the actual input data and\n # set the Popen() parameter accordingly.\n if 'stdin' in kwargs and isinstance(kwargs['stdin'], basestring):\n stdin = kwargs['stdin']\n kwargs['stdin'] = PIPE\n\n proc = Popen(args, **kwargs)\n return proc.communicate(stdin), proc.returncode","def run_process(self, inp=\"\"):\n return subprocess.run(self.binary,\n input=inp,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n universal_newlines=True)","def recvraw(self):\n\n if self.stdin is None:\n return _python_input_function()\n else:\n return self.stdin.readline().rstrip('\\n')","def threading_copy(self, data):\n r_fd, w_fd = os.pipe()\n rstream = os.fdopen(r_fd, \"rb\")\n wstream = os.fdopen(w_fd, \"wb\")\n copy_thread = threading.Thread(target=self.copystream, args=(rstream,))\n copy_thread.start()\n self.writestream(data, wstream)\n wstream.close()\n copy_thread.join()","def server_do(self,input, connstream):\r\n pass","def WriteToPipeIn(self, epAddr, data): \n return self._server.write_to_pipe_in(self._serial, epAddr, list(data))","def runin(cmd, stdin):\n result = subprocess.Popen(cmd,stdin=subprocess.PIPE)\n result.wait()\n return result.returncode","def connectionMade(self):\n self._pid = self.transport.pid\n if self._pid:\n self.logger(\"Process has pid %d\" % self._pid)\n self.transport.closeStdin() # close stdin","def send(self, *args, **kwargs):\n if not self.paused():\n raise RuntimeError(\"Machine is not awaiting input\")\n else:\n self.args = (args, kwargs)","def collect_incoming_data(self, data):\n self.__input.append(data)","def execute(self, technique: Technique):\n\n binary = technique.ident\n enter, input, exit = binary.shell(self.pty.shell, suid=True)\n\n # Run the start commands\n self.pty.process(enter, delim=False)\n\n # Send required input\n self.pty.client.send(input.encode(\"utf-8\"))\n\n return exit # remember how to close out of this privesc","def scan_input(self):\n proc = subprocess.Popen([\"ssh\", \"-tt\", \"pi@127.0.0.1\"],\n stdout=subprocess.PIPE, stdin=subprocess.PIPE)\n # give time to connect\n time.sleep(5)\n proc.stdin.write(\n b\"/home/pi/Desktop/GAssist/env/bin/google-assistant-demo\\n\")\n proc.stdin.flush()\n while True:\n next_line = proc.stdout.readline()\n if next_line != '':\n # the real code does filtering here\n tmp = next_line.decode(\"utf-8\")\n print(tmp)\n tmp = tmp.strip().lower()\n for test_re in self.text_regexes:\n match_test = test_re.match(tmp)\n if match_test:\n self.handle_input(match_test.group(1).strip())\n else:\n time.sleep(.01)","def communicate(self, std_in=None, timeout=0):\n if timeout <= 0:\n return super(Popen, self).communicate(input=std_in)\n\n fds = []\n stdout = []\n stderr = []\n\n if self.stdout is not None:\n set_file_nonblock(self.stdout)\n fds.append(self.stdout)\n if self.stderr is not None:\n set_file_nonblock(self.stderr)\n fds.append(self.stderr)\n\n if std_in is not None and sys.stdin is not None:\n sys.stdin.write(std_in)\n\n returncode = None\n inactive = 0\n while returncode is None:\n (rlist, dummy_wlist, dummy_xlist) = select.select(\n fds, [], [], 1.0)\n\n if not rlist:\n inactive += 1\n if inactive >= timeout:\n raise TimeoutError\n else:\n inactive = 0\n for fd in rlist:\n if fd is self.stdout:\n stdout.append(fd.read())\n elif fd is self.stderr:\n stderr.append(fd.read())\n\n returncode = self.poll()\n\n if self.stdout is not None:\n stdout = ''.join(stdout)\n else:\n stdout = None\n if self.stderr is not None:\n stderr = ''.join(stderr)\n else:\n stderr = None\n\n return (stdout, stderr)","def live_network_input_to_pipe(iface=None, p=None):\n\n global g_pipein\n\n print(\"Named Pipe '{0}' has been opened for writing. Waiting for Pipe Reader to connect.\".format(p))\n g_pipein = open(p, 'wb')\n print(\"Connected to Named Pipe '{0}'. Writing binary TDMs into pipe.\".format(p))\n\n if iface is None:\n print(\"Listening on default interface.\")\n try:\n sniff(prn=write_tdm_to_pipe)\n except IOError as e:\n if e.errno == errno.EPIPE:\n print(\"Broken Pipe: EPIPE\")\n else:\n print(\"Listening on interface: {0}\".format(iface))\n try:\n sniff(iface=iface, prn=write_tdm_to_pipe)\n except IOError as e:\n if e.errno == errno.EPIPE:\n print(\"Broken Pipe: EPIPE\")","def run_python_stdin(python, file_args=None, directives=None):\n import shutil\n import tempfile\n\n with tempfile.NamedTemporaryFile(suffix='.py') as f:\n shutil.copyfileobj(sys.stdin, f)\n f.flush()\n\n file_args = [f.name] + list(file_args or ())\n run_python_file(python, file_args, directives)","def continuous_shell_reader(self):\n\n while not self.thread_stop.is_set():\n out = self.shell_reader()\n\n if not out == \"\":\n print(\"IPC: Received: {}\".format(out))","def set_stdio(inp):\r\n default_stdin = sys.stdin\r\n sys.stdin = StringIO(inp)\r\n default_stdout = sys.stdout\r\n sys.stdout = mystdout = StringIO()\r\n return default_stdin, default_stdout, mystdout","def pingAgentProcess( self ):\n try:\n self.lock.acquire()\n\n if self.agent is None or self.agent.poll() is not None:\n return\n\n self.agent.stdin.write( 'hello\\n' )\n self.agent.stdin.flush()\n finally:\n self.lock.release()","def getch(self):\t # get 1 byte from stdin\n\t\treturn sys.stdin.read(1)","def send_command(self, command):\n stdin, stdout, stderr = self.ssh_client.exec_command(command)\n return stdout.readlines()","def send_enter():\n sys.stdout.write('\\x0D') # send carriage return\n sys.stdout.flush()"],"string":"[\n \"def write( self, data ):\\n os.write( self.stdin.fileno(), data )\",\n \"def stdin_read(self, data):\\n self.write_master(data)\",\n \"def send_data(sock):\\n while True:\\n data = sys.stdin.readline()\\n sock.send(data.encode())\",\n \"def send_msg(self, msg):\\n self.proc.stdin.write(msg)\",\n \"def send_stdin(self, s_bytes):\\n self._proc.stdin.write(s_bytes)\\n self._proc.stdin.flush()\",\n \"def send(self, data):\\n\\n if self.subprocess.poll() is None:\\n try:\\n self.subprocess.stdin.write(\\\"{}\\\\n\\\".format(str(data).encode()))\\n except IOError as e:\\n logging.warning(\\\"IPC: Failed to send data! IOError: {}\\\".format(e))\\n\\n logging.debug(\\\"IPC: {}\\\".format(str(data)))\\n else:\\n logging.error(\\\"IPC: Process is dead! Poll: {}\\\".format(self.subprocess.poll()))\",\n \"def write( shell, data ):\\n #print 'cmd: ' + data\\n global waiting\\n os.write( shell.stdin.fileno(), data )\\n waiting = True\",\n \"def _direct_stdin_writer(self, msg):\\n with self._stdin_lock:\\n msg += \\\"\\\\n\\\"\\n m = msg.encode(\\\"utf-8\\\")\\n self._log(\\\"raw\\\", \\\"write to stdin : {0}\\\".format(m))\\n self._popen.stdin.write(m)\",\n \"def stdin(self):\\n pass\",\n \"def send(self, sendstring):\\n self.__proc.stdin.write(sendstring+'\\\\n')\",\n \"def _on_stdin_read(self, data):\\n if not self.opts[\\\"udp\\\"]:\\n self.fire(write(data))\\n else:\\n self.fire(write((self.host, self.port), data))\",\n \"def _stdin_writer(self):\\n self._is_launched.wait()\\n while True:\\n message = self.stdin_queue.get()\\n if message is None or self._is_stopping or not self._is_running.is_set():\\n if message is not None:\\n log.debug(\\\"Ignore {0} on process {1} because it's stopped\\\".format(message, self.name))\\n break\\n self._direct_stdin_writer(message)\\n self._log(\\\"raw\\\", \\\"write to stdin : {0}\\\".format(message.encode(\\\"utf-8\\\")))\",\n \"def call_and_feed(cmd, data):\\n p = Popen(cmd, shell=True, stdin=PIPE)\\n p.stdin.write(data)\\n p.stdin.close()\\n return p.wait()\",\n \"def sendCommand(self, command):\\n if(self.process is not None):\\n try:\\n self.process.stdin.write(command + '\\\\n')\\n except:\\n pass\",\n \"def write(self, command):\\n self.stdin_stream.write(command)\\n self.stdin_stream.flush()\",\n \"def console(self, message):\\n if self.proc is None or self.proc.poll() is not None:\\n return\\n message = message.split('\\\\n')[0] + '\\\\n'\\n self.proc.stdin.write(message.encode())\\n self.proc.stdin.flush()\",\n \"def sendProcessStdin(self, name, chars):\\r\\n self._update('sendProcessStdin')\\r\\n\\r\\n if isinstance(chars, unicode):\\r\\n chars = chars.encode('utf-8')\\r\\n\\r\\n if not isinstance(chars, basestring):\\r\\n raise RPCError(Faults.INCORRECT_PARAMETERS, chars)\\r\\n\\r\\n group, process = self._getGroupAndProcess(name)\\r\\n\\r\\n if process is None:\\r\\n raise RPCError(Faults.BAD_NAME, name)\\r\\n\\r\\n if not process.pid or process.killing:\\r\\n raise RPCError(Faults.NOT_RUNNING, name)\\r\\n\\r\\n try:\\r\\n process.write(chars)\\r\\n except OSError as why:\\r\\n if why.args[0] == errno.EPIPE:\\r\\n raise RPCError(Faults.NO_FILE, name)\\r\\n else:\\r\\n raise\\r\\n\\r\\n return True\",\n \"def test_pipe_to_stdin(self):\\n original_stdin = sys.stdin\\n with self.pipe_to_stdin() as input:\\n self.assertNotEqual(original_stdin, sys.stdin)\\n input.write(\\\"Hello world!\\\\n\\\")\\n self.assertEqual(sys.stdin.readline(), \\\"Hello world!\\\\n\\\")\\n self.assertEqual(original_stdin, sys.stdin)\",\n \"def put(self, value):\\n self.stdin.put(value)\",\n \"def _replace_stdin(self, text):\\n orig = sys.stdin\\n sys.stdin = StringIO(text)\\n yield\\n sys.stdin = orig\",\n \"def writePipe(self, data):\\n if not '[Press a key]' in data:\\n subprocess.Popen(\\\"echo \\\" + str(data) + \\\" > /tmp/g13-0\\\", shell=True)\",\n \"def stdin_thread(self):\\n while True:\\n if not self.is_running():\\n time.sleep(0.1)\\n continue\\n msg = self._stdin_queue.get()\\n if msg is None:\\n break # Ask to stop\\n self._say(msg)\",\n \"def rshell(self, chan):\\n logging.debug(\\\"\\\")\\n logging.debug(\\\"************************************************************\\\")\\n import select\\n import termios\\n import tty\\n import socket\\n from paramiko.py3compat import u\\n oldtty = termios.tcgetattr(sys.stdin)\\n try:\\n tty.setraw(sys.stdin.fileno())\\n tty.setcbreak(sys.stdin.fileno())\\n chan.settimeout(0.0)\\n while True:\\n r, w, e = select.select([chan, sys.stdin], [], [])\\n if chan in r:\\n try:\\n x = u(chan.recv(1024))\\n if len(x) == 0:\\n sys.stdout.write('\\\\n\\\\n')\\n break\\n sys.stdout.write(x)\\n sys.stdout.flush()\\n except socket.timeout:\\n pass\\n if sys.stdin in r:\\n x = sys.stdin.read(1)\\n if len(x) == 0:\\n break\\n chan.send(x)\\n finally:\\n termios.tcsetattr(sys.stdin, termios.TCSADRAIN, oldtty)\",\n \"def get_stdin(self) :\\n\\t\\tif self.__stdin is not None :\\n\\t\\t\\t# probably no flush\\n\\t\\t\\treturn self.__stdin.getvalue()\",\n \"def run(self):\\n def target():\\n # Pass these inputs to STDIN with delays\\n for i in self.delayed_inputs:\\n if type(i) is int or type(i) is float:\\n time.sleep(i)\\n elif type(i) is bytes:\\n try:\\n self.process.stdin.write(i) \\n except IOError as e:\\n lg.info(\\n \\\"Input: {} failed to write to stdin due to\\\\n{}\\\".format(i, e)\\n )\\n break\\n if self.disable_communicate:\\n self.process.wait()\\n else:\\n self.stdout_res, self.stderr_res = self.process.communicate(\\n input=self.inputs)\\n\\n try:\\n self.process = Popen(self.command, stdin=self.stdin,\\n stdout=self.stdout, stderr=self.stderr,\\n start_new_session=True, cwd=self.cwd, env=self.env)\\n except OSError:\\n lg.error(\\\"Couldn't Popen command {}\\\".format(self.command))\\n raise\\n self.thread = Thread(target=target)\\n self.thread.start()\",\n \"def monitor_stdin():\\n while len(sys.stdin.read(1024)):\\n pass\\n if args.multi:\\n client_monitor.notify_parent_exit()\\n else:\\n trigger_exit(ExitMode.PARENT)\",\n \"def master_read(self, data):\\n self.write_stdout(data)\",\n \"def communicate(host, port):\\n s = socket.socket()\\n s.connect((host, port))\\n payload = sys.stdin.read().encode()\\n s.sendall(payload)\\n s.shutdown(socket.SHUT_WR)\\n\\n output = []\\n while True:\\n read = s.recv(READ_SIZE)\\n if read:\\n output.append(read.decode())\\n else:\\n break\\n return ''.join(output)\",\n \"def parse_stdin(self, data):\\n return data\",\n \"def write(self, command):\\n # Write command in bytes plus newline then flush.\\n self.proc.stdin.write(bytes(command + \\\"\\\\n\\\", 'ascii'))\\n self.proc.stdin.flush()\\n\\n self.genout()\",\n \"def _queuing_input(procQueue, stdin_fd, query, valid, default):\\n sys.stdin = os.fdopen(stdin_fd)\\n procQueue.put(_get_user_input(query, valid, default))\",\n \"def posix_shell(chan):\\n import select\\n \\n oldtty = termios.tcgetattr(sys.stdin)\\n try:\\n tty.setraw(sys.stdin.fileno())\\n tty.setcbreak(sys.stdin.fileno())\\n chan.settimeout(0.0)\\n\\n while True:\\n r, w, e = select.select([chan, sys.stdin], [], [])\\n if chan in r:\\n try:\\n x = chan.recv(1024)\\n if len(x) == 0:\\n print '\\\\r\\\\n*** EOF\\\\r\\\\n',\\n break\\n sys.stdout.write(x)\\n sys.stdout.flush()\\n except socket.timeout:\\n pass\\n if sys.stdin in r:\\n x = sys.stdin.read(1)\\n if len(x) == 0:\\n break\\n chan.send(x)\\n\\n finally:\\n termios.tcsetattr(sys.stdin, termios.TCSADRAIN, oldtty)\",\n \"def on_stdin_send(self, debug_console, message, status):\\r\\n raise NotImplementedError(\\r\\n 'You must implement \\\"on_stdin_send()\\\" to use the \\\"DebugListener\\\"'\\r\\n 'class.')\",\n \"def read(self):\\n global ALIVE\\n line = sys.stdin.readline()\\n if line:\\n self.datalines.append(line.rstrip())\\n else:\\n ALIVE = False\",\n \"def _handle_stdin(self, line):\\r\\n return input(line.replace(STDIN_PROMPT, \\\"\\\"))\",\n \"def reader_thread(self, q):\\r\\n try:\\r\\n with self.process.stdout as pipe:\\r\\n for line in iter(pipe.readline, b''):\\r\\n q.put(line)\\r\\n finally:\\r\\n q.put(None)\",\n \"def _posix_shell(cls, chan, user_input, iotimeout, iodelay):\\n timeout = 60 # 1 mins , only its only applicable to cmcli ssl commands\\n result = ''\\n input = list(user_input)\\n input_end = 1\\n try:\\n chan.settimeout(iotimeout)\\n input.reverse()\\n start_time = time.time()\\n\\n while True:\\n # we dont need this hack this is only happenning for ssl tests\\n log.debug('Running select')\\n r, w, e = select.select([chan, sys.stdin], [], [], 5)\\n log.debug('select done')\\n\\n log.debug('r: %s' % repr(r))\\n log.debug('w: %s' % repr(w))\\n log.debug('e: %s' % repr(e))\\n\\n if chan in r:\\n log.debug('rlist: wait until ready for reading')\\n try:\\n log.debug('channel receiving data')\\n\\n # Start with something\\n x = \\\"DO IT\\\"\\n while len(x) > 0:\\n\\n # Got stuff. Print it\\n time.sleep(iodelay)\\n log.debug('get some data')\\n x = chan.recv(20480)\\n last_prompt = x\\n result += x\\n log.debug('data received. Write it to stdout')\\n sys.stdout.write(x)\\n log.debug('flushing stdout')\\n sys.stdout.flush()\\n\\n # We've sent it all. Let's get out\\n if len(input) == input_end:\\n log.debug('NOTHING LEFT TO SEND')\\n\\n # Program exited too soon\\n if chan.exit_status_ready():\\n log.warn('Hit exit status ready sooner than expected')\\n chan.send('^D\\\\n')\\n raise\\n\\n except socket.timeout:\\n log.debug('All stdout exhausted')\\n if len(input) > input_end:\\n x = input.pop()\\n log.debug('SENDING to input stream: %s' % x)\\n chan_in = '%s' % x\\n chan.send(chan_in)\\n result += chan_in\\n else:\\n if chan.exit_status_ready():\\n log.info('Program ready to exit')\\n break\\n\\n # Keep reading for cmcli commands since we need to\\n # wait until we get back to the prompt\\n pass\\n\\n if not r:\\n # FIXME: I think we want to inspect the the last prompt.\\n # If it was input, we should probably attempt another select\\n # if we are running a cmcli command\\n log.debug(\\\"Nothing to send or unexpected prompt. \\\" +\\n \\\"Prompt was: %s\\\" % last_prompt)\\n raise\\n\\n finally:\\n\\n # Assume the last input is logout\\n x = input.pop()\\n log.debug('SENDING logout to input stream: %s' % x)\\n chan_in = '%s\\\\n' % x\\n chan.send(chan_in)\\n result += chan_in\\n\\n log.debug('Trying to get exit status for command')\\n exit_status = chan.recv_exit_status()\\n log.debug('Got exit status for command: %s', exit_status)\\n x = chan.recv(20480)\\n log.debug(\\\"Last data received: %s\\\" % x)\\n result += x\\n sys.stdout.write(x)\\n sys.stdout.flush()\\n log.debug(\\\"return from posix shell\\\")\\n return result, exit_status\",\n \"def send_command(self, data):\\n try:\\n self.write(data)\\n reply = self.read_line()\\n \\n if reply == \\\"{}\\\":\\n pass\\n else:\\n print \\\"send_command: received bad reply %s\\\" % (reply)\\n sys.exit(1)\\n except Exception:\\n raise\",\n \"def push_data(self, data):\\n self.incoming.write(data)\",\n \"def write(self):\\n\\n while self.dowrite:\\n data = sys.stdin.readline()\\n if (self.algo == \\\"rsa\\\"):\\n data = self.ras_encrypt(data)\\n if (self.algo == \\\"des\\\"):\\n data = self.des_encrypt(data)\\n if (self.algo == \\\"3des\\\"):\\n data = self.triple_des_encrypt(data)\\n if (self.algo == \\\"aes\\\"):\\n data = self.aes_encrypt(data)\\n self.conn.send(data)\\n\\n if (data.strip() == self.exitcode):\\n self.conn.shutdown(socket.SHUT_RDWR)\\n self.conn.close()\\n self.dowrite = False\",\n \"def _send_data_to_nn(self,wbtData):\\n\\t\\tself._neuralNetwork.stdin.write(\\\"COMM IN\\\\n\\\") # this shitty COMM IN is not really needed..to modify in closedloop.py\\n\\t\\tself._neuralNetwork.stdin.write(wbtData)\",\n \"def prog_input(self, put_idx: int) -> None:\\n self.write(int(self.stdin.pop()), put_idx)\",\n \"def on_data(self, data):\\n if data is not None:\\n # Send the data to the parent process\\n logging.debug('Received raw data : ' + str(data))\\n self.mp_queue.put(data)\",\n \"def keyboard_process(pipe):\\n keyboard = WindowsKeyboardListener(pipe)\\n keyboard.listen()\",\n \"def test23a(self):\\n self.spawn(\\\"./binary\\\").stdin(\\\"1\\\").stdin(\\\"12\\\").stdin(\\\"0\\\").stdin(\\\"0\\\").stdin(\\\"0\\\").stdin(\\\"1\\\").stdin(\\\"0\\\").stdin(\\\"1\\\").stdin(\\\"1\\\").stdin(\\\"1\\\").stdout(\\\"23\\\\n\\\").exit(0)\",\n \"def interact(self):\\n print('Ready to interact on socket connected with {}.'.format(self.remote_addr))\\n try:\\n # get initial input from user\\n print('Enter input or press CTRL-D for no input.')\\n data = sys.stdin.readline()\\n self.remote_socket.sendall(data.encode())\\n while True:\\n if data.startswith('exit'):\\n print('[*] Closing remote shell.')\\n self.close()\\n break\\n # wait for response from target host\\n recv_len = 1\\n response = ''\\n while recv_len:\\n data = self.remote_socket.recv(4096)\\n recv_len = len(data)\\n response += data.decode()\\n if recv_len < 4096:\\n break\\n print(response)\\n # get further input from user\\n print('Enter further input or press CTRL-D for no input.')\\n data = sys.stdin.readline()\\n self.remote_socket.sendall(data.encode())\\n except Exception as e:\\n print(e)\\n print('[*] Closing remote shell.')\\n self.close()\",\n \"def run(self, arguments=None, debug=False):\\n\\n # kill the child process if we receive a terminate signal\\n def terminate_child_process(child, signum, frame):\\n try:\\n if child and signum != signal.SIGINT:\\n child.terminate()\\n child.wait()\\n finally:\\n sys.exit()\\n\\n # poll the pty for available data to read, then push to a queue and signal ready\\n def produce_queue(queue, master_fd, slave_fd, evt, proc):\\n with os.fdopen(master_fd, 'rb', 0) as task_stream:\\n while 1:\\n ready = select.select([master_fd], [], [], 0)[0]\\n\\n # exit if our process has terminated and no more input\\n if not ready and proc.poll() is not None:\\n os.close(slave_fd)\\n evt.set()\\n break\\n\\n if master_fd in ready:\\n # POSIX.1 requires PIPE_BUF to be at least 512 bytes, but Linux uses 4096 bytes\\n data = os.read(master_fd, 4096)\\n\\n if not data:\\n # reached EOF, signal data ready in case the queue is not empty, then exit\\n evt.set()\\n break\\n else:\\n # put data in the queue and signal the consumer thread\\n queue.put(data)\\n evt.set()\\n\\n # wait for ready signal, then read data from queue and save to a buffer\\n # once the buffer contains an end of line, send that to a callback if defined,\\n # then send the line to a file for later processing\\n def consume_queue(queue, filename, evt, proc, callback=None):\\n streambuffer = []\\n with open(filename, 'w+') as fileobj:\\n while 1:\\n # wait for a signal at most one second at a time so we can check the child process status\\n evt.wait(1)\\n if queue.empty() and proc.poll() is not None:\\n # make sure the last part of the buffer is written out\\n if streambuffer:\\n if callback:\\n callback(streambuffer[0])\\n\\n fileobj.write(streambuffer[0])\\n fileobj.flush()\\n break\\n elif queue.empty():\\n # the queue is empty, but our child process has not exited yet, so data may show up still\\n continue\\n\\n data = queue.get_nowait()\\n streambuffer.append(data)\\n queue.task_done()\\n\\n # As soon as we see an end of line from the stream, we should write.\\n # Since we could receive many lines per queue chunk, we want to pass\\n # a line at a time to our callback.\\n if '\\\\n' in data:\\n merged = \\\"\\\".join(streambuffer)\\n lines = merged.split('\\\\n')\\n\\n if len(lines) > 1 and '\\\\n' not in lines[-1]:\\n streambuffer = [lines[-1]]\\n lines.pop()\\n else:\\n streambuffer = []\\n\\n if callback:\\n for x in lines:\\n if not x:\\n continue\\n callback(x)\\n\\n fileobj.write(\\\"\\\".join(lines))\\n fileobj.flush()\\n\\n command_list = self._build_command_list(arguments,debug)\\n\\n self.logger.info(\\\"Executing {0}\\\".format(\\\" \\\".join(command_list)))\\n\\n stdout_name = 'task_stdout_{}'.format(datetime.datetime.utcnow().isoformat())\\n stderr_name = 'task_stderr_{}'.format(datetime.datetime.utcnow().isoformat())\\n\\n stderr = open(stderr_name, 'w+')\\n\\n # Use pty to provide a workaround for buffer overflow in stdio when monitoring stdout\\n master_stdout_fd, slave_stdout_fd = pty.openpty()\\n #master_stderr_fd, slave_stderr_fd = pty.openpty()\\n #task = subprocess.Popen(command_list, stdout=slave_stdout_fd, stderr=slave_stderr_fd, close_fds=True)\\n task = subprocess.Popen(command_list, stdout=slave_stdout_fd, stderr=stderr.fileno(), close_fds=True)\\n\\n # force termination signal handling of the child process\\n signal_handler = functools.partial(cleanup, task)\\n signal.signal(signal.SIGINT, signal_handler)\\n signal.signal(signal.SIGTERM, signal_handler)\\n\\n stdout_queue = Queue.Queue()\\n stdout_data_ready = threading.Event()\\n\\n t1 = threading.Thread(target=produce_queue, args=(stdout_queue, master_stdout_fd, slave_stdout_fd, stdout_data_ready, task))\\n t1.daemon = True\\n t1.start()\\n\\n t2 = threading.Thread(target=consume_queue, args=(stdout_queue, stdout_name, stdout_data_ready, task, self.callback))\\n t2.daemon = True\\n t2.start()\\n\\n #stderr_queue = Queue.Queue()\\n #stderr_data_ready = threading.Event()\\n\\n #t3 = threading.Thread(target=produce_queue, args=(stderr_queue, master_stderr_fd, slave_stderr_fd, stderr_data_ready, task))\\n #t3.daemon = True\\n #t3.start()\\n\\n #t4 = threading.Thread(target=consume_queue, args=(stderr_queue, stderr_name, stderr_data_ready, task))\\n #t4.daemon = True\\n #t4.start()\\n\\n task.wait()\\n\\n t1.join()\\n t2.join()\\n #t3.join()\\n #t4.join()\\n\\n stdout = open(stdout_name, 'rb')\\n #stderr = open(stderr_name, 'rb')\\n stderr.seek(0)\\n\\n task_output = {}\\n task_output[\\\"stdout\\\"] = \\\"\\\".join(stdout.readlines())\\n task_output[\\\"stderr\\\"] = \\\"\\\".join(stderr.readlines())\\n\\n stdout.close()\\n stderr.close()\\n os.remove(stdout_name)\\n os.remove(stderr_name)\\n\\n if task.returncode != 0:\\n self.logger.error(task.returncode)\\n raise Exception(task_output[\\\"stdout\\\"], task_output[\\\"stderr\\\"])\\n else:\\n return task_output\",\n \"def subprocess_attach_stdin(cmd, shell=False):\\n # type: (str, bool) -> subprocess.Process\\n return subprocess.Popen(cmd, shell=shell, stdin=subprocess.PIPE)\",\n \"def popenCommunicate(args, data='', outputs=None, ignoreErrors=False, poll_interval=0.01):\\n stdError = None\\n if not ignoreErrors:\\n stdError = subprocess.STDOUT\\n p = subprocess.Popen(args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=stdError)\\n fcntl.fcntl(p.stdin, fcntl.F_SETFL, os.O_NONBLOCK) # make the file nonblocking\\n fcntl.fcntl(p.stdout, fcntl.F_SETFL, os.O_NONBLOCK) # make the file nonblocking\\n\\n bytesTotal = len(data)\\n bytesWritten = 0\\n while bytesWritten < bytesTotal:\\n try:\\n # p.stdin.write() doesn't return anything, so use os.write.\\n bytesWritten += os.write(p.stdin.fileno(), data[bytesWritten:])\\n except IOError, ex:\\n if ex[0] != errno.EAGAIN:\\n raise\\n sys.exc_clear()\\n socket.wait_write(p.stdin.fileno())\\n\\n p.stdin.close()\\n\\n if outputs is not None:\\n while True:\\n try:\\n chunk = p.stdout.read(4096) \\n if not chunk:\\n break\\n for output in outputs:\\n output.write(chunk)\\n except IOError, ex:\\n if ex[0] != errno.EAGAIN:\\n raise\\n sys.exc_clear()\\n socket.wait_read(p.stdout.fileno()) \\n\\n p.stdout.close()\\n\\n length = None\\n try:\\n length = len(outputs[0])\\n except:\\n length = 0\\n\\n logging.getLogger().debug(\\\"popenCommunicate() finished. Args: %s, Output Length: %d\\\" % (args,length))\",\n \"def input_pipe():\\n x = ''\\n while True:\\n x = yield x\\n yield # to keep the generator in lock step with input\",\n \"def send_cmd(self):\\n\\n cmd = self.repl_input.get().encode()\\n self.serial.write(cmd + b\\\"\\\\r\\\")\\n self.repl_input.set(\\\"\\\")\",\n \"def non_blocking_streamlit(process: psutil.Popen) -> None:\\n while process.is_running():\\n process.communicate()\",\n \"def _on_read(self, line):\\n # Some game logic (or magic)\\n line = line.strip()\\n logger.info(\\\"RCV> %s\\\", line)\\n if not line:\\n self.stream.close()\\n return\\n\\n self.stream.write(\\\"echo: %s\\\\n\\\" % line)\\n\\n # Wait for further input on this connection\\n self.wait()\",\n \"def dataReceived(self, data: bytes):\\n\\n if self.output:\\n self.output.write(data) # redirect the message to the server\",\n \"def run(self):\\r\\n while self._go.isSet(): #while app is running\\r\\n if self._check_console_input(): #if something to read on the console\\r\\n cmd = sys.stdin.readline() #read it\\r\\n self.inq.put(cmd) #dispatch it tpo the server\\r\\n response = self.outq.get(timeout=2.0) #wait for an answer\\r\\n sys.stdout.write(response) #write the answer on the console\\r\",\n \"def start(self, stdin=None, stdout=None, stderr=None):\\n logging.debug(\\\"Starting '%s'\\\", \\\" \\\".join(self.cmd_line))\\n self.proc = subprocess.Popen(self.cmd_line,\\n stdin=stdin,\\n stdout=stdout if stdout\\n else subprocess.PIPE,\\n stderr=stderr,\\n env=self.env)\\n self.thread = threading.Thread(target=self.tail)\\n self.thread.daemon = True\\n self.thread.start()\\n self.running = True\",\n \"def watch(self):\\n reader, writer = os.pipe2(0)\\n\\n pid = os.fork()\\n\\n # In the child\\n if pid == 0:\\n tty.setraw(0)\\n os.close(reader)\\n os.close(2)\\n\\n os.dup2(writer, 1)\\n\\n os.execlp(self.__program, self.__program, *self.__args)\\n\\n sys.exit(1)\\n else:\\n os.close(writer)\\n\\n while True:\\n result = os.read(reader, 1024)\\n if len(result) == 0:\\n break\\n sys.stdout.write(result.decode('utf-8'))\\n\\n os.waitpid(pid, 0)\",\n \"def main():\\n dt = DropToken()\\n play = True\\n while play:\\n try:\\n line = sys.stdin.readline()\\n except KeyboardInterrupt:\\n break\\n if not line:\\n break\\n play = dt.inputProcess(line)\",\n \"def pipestring_process(cmd_string, stdin_string=''):\\n f=SpooledTemporaryFile()\\n f.write(stdin_string)\\n f.seek(0)\\n results=process(cmd_string, stdin=f)\\n f.close()\\n return results\",\n \"def execute_sbatch(cmd_submit, stdin, env, cmd_nbscript): # pylint: disable=unused-argument\\n p = subprocess.Popen(cmd_submit, stdin=subprocess.PIPE, env=env)\\n p.stdin.write(stdin)\\n p.stdin.close()\\n p.wait()\\n return p.returncode\",\n \"def process_data(data):\\n bio = BytesIO()\\n bio.write(data)\\n bio.seek(0)\\n process(bio)\",\n \"def _launch_command(args, out_cb, err_cb, done=None, **kwargs):\\n\\n def pump_stream(callback, stream):\\n \\\"\\\"\\\"Pump the stream\\\"\\\"\\\"\\n for line in stream:\\n callback(line)\\n callback(None)\\n\\n def joiner():\\n \\\"\\\"\\\"Wait for streams to finish, then call done callback\\\"\\\"\\\"\\n for th in threads:\\n th.join()\\n done(process)\\n\\n kwargs = kwargs.copy()\\n in_data = kwargs.get(\\\"input\\\")\\n if \\\"input\\\" in kwargs:\\n del kwargs[\\\"input\\\"]\\n assert kwargs.get(\\\"stdin\\\") is None, kwargs[\\\"stdin\\\"]\\n kwargs[\\\"stdin\\\"] = PIPE\\n elif \\\"stdin\\\" not in kwargs:\\n kwargs[\\\"stdin\\\"] = DEVNULL\\n kwargs.setdefault(\\\"stdout\\\", PIPE)\\n kwargs.setdefault(\\\"stderr\\\", PIPE)\\n kwargs[\\\"universal_newlines\\\"] = True # Text streams, not byte streams\\n process = Popen(args, **kwargs)\\n threads = []\\n if process.stdout:\\n thread = Thread(\\n target=pump_stream, args=(out_cb, process.stdout), daemon=True\\n )\\n thread.start()\\n threads.append(thread)\\n if process.stderr:\\n thread = Thread(\\n target=pump_stream, args=(err_cb, process.stderr), daemon=True\\n )\\n thread.start()\\n threads.append(thread)\\n if done and threads:\\n Thread(target=joiner, daemon=True).start()\\n if in_data:\\n process.stdin.write(str(in_data, \\\"utf-8\\\"))\\n process.stdin.close()\\n return process\",\n \"def _process_input(self, fd):\\n if fd.fileno() == self._proxyfd.fileno():\\n pkt = self._grab_packet(\\n lambda data, s=self: s.create_packet(packet=data), fd)\\n self._handle_proxy_packet(pkt)\\n else:\\n Server._process_input(self, fd)\",\n \"def send(self, payload):\\n self.emitter.input(payload)\",\n \"def rawInput(string):\\n if os.name == \\\"posix\\\":\\n tcflush(sys.stdin, TCIFLUSH)\\n return input(string)\",\n \"def set_up_ipc(self, data_queue, termination_event, stdin=None):\\n\\n # Store our IPC primitives, ready for future use.\\n self.data_queue = data_queue\\n self.termination_event = termination_event\\n\\n # Retrieve our use of the standard input from the parent thread.\\n if stdin:\\n self.stdin = sys.stdin = stdin\",\n \"def read_stdin():\\n return \\\"\\\".join(sys.stdin.readlines()).strip()\",\n \"def start_stdio_server(self):\\n ls = self.language_server(hub=self.hub)\\n ls.start(sys.stdin.buffer, sys.stdout.buffer)\",\n \"def stdin():\\n\\n while sys.stdin in select.select([sys.stdin], [], [], 0)[0]:\\n\\n line = sys.stdin.readline()\\n\\n if not line:\\n yield from []\\n break\\n\\n line = line.strip()\\n yield line\",\n \"def hook() -> None:\\n real_recv = process.recv_raw\\n\\n def recv(self: process, numb: int) -> bytes:\\n data = real_recv(self, numb)\\n # Sometimes the returned data is of type str\\n # Accept them by converting them to bytes\\n if type(data) == str:\\n data = data.encode()\\n try:\\n stdout_all = self.stdout_all\\n except Exception: # pylint: disable=broad-except\\n stdout_all = b\\\"\\\"\\n stdout_all += data\\n self.stdout_all = stdout_all\\n return data\\n\\n process.recv_raw = recv\",\n \"def _process(self):\\n\\n while True:\\n try:\\n sockets = [self.master_fd]\\n if self.sock:\\n sockets.append(self.sock)\\n # Don't handle user input while a side command is running.\\n if len(self.filter) == 1:\\n sockets.append(pty.STDIN_FILENO)\\n rfds, _, _ = select.select(sockets, [], [], 0.25)\\n except select.error as ex:\\n if ex[0] == errno.EAGAIN: # Interrupted system call.\\n continue\\n raise\\n\\n if not rfds:\\n self._timeout()\\n else:\\n # Handle one packet at a time to mitigate the side channel\\n # breaking into user input.\\n if self.master_fd in rfds:\\n data = os.read(self.master_fd, 1024)\\n self.master_read(data)\\n elif pty.STDIN_FILENO in rfds:\\n data = os.read(pty.STDIN_FILENO, 1024)\\n self.stdin_read(data)\\n elif self.sock in rfds:\\n data, self.last_addr = self.sock.recvfrom(65536)\\n if data[-1] == b'\\\\n':\\n self.log(\\\"WARNING: the command ending with <nl>. \\\"\\n \\\"The StreamProxy filter known to fail.\\\")\\n self.log(\\\"Got command '%s'\\\" % data.decode('utf-8'))\\n command = self.filter_command(data)\\n self.log(\\\"Translated command '{}'\\\"\\n .format(command.decode('utf-8')))\\n if command:\\n self.write_master(command)\\n self.write_master(b'\\\\n')\",\n \"def _stdout_reader(self):\\n self._is_launched.wait()\\n stdout_iterator = iter(self._popen.stdout.readline, b\\\"\\\")\\n for line in stdout_iterator:\\n self._log(\\\"raw\\\", \\\"stdout : {0}\\\".format(line.strip()))\\n self.stdout_queue.put_nowait(line.strip())\\n self.stdout_queue.put_nowait(None) # Stop queue consumers\",\n \"def start(self):\\n # Create a pipe so the stream can be captured:\\n self.pipe_out, self.pipe_in = os.pipe()\\n self.capturedtext = \\\"\\\"\\n\\n # Save a copy of the stream:\\n self.streamfd = os.dup(self.origstreamfd)\\n\\n # Replace the original stream with our write pipe:\\n os.dup2(self.pipe_in, self.origstreamfd)\",\n \"def send_serial_command(data):\\n print(data)\\n serial_command = data\\n SERIAL_PARENT.send(serial_command)\\n OUTGOING.append(serial_command)\",\n \"def process(cmd_string, stdin=None):\\n return process_results(process_run(cmd_string, stdin=stdin))\",\n \"def read_input(inp):\\n epoll = select.epoll()\\n epoll.register(sys.stdin.fileno(), select.EPOLLIN)\\n while inp.running:\\n if is_terminated():\\n return\\n\\n events = epoll.poll(1)\\n for fileno, event in events:\\n line = \\\"[\\\"\\n while \\\"[\\\" in line:\\n line = sys.stdin.readline().strip(\\\",\\\").strip()\\n inp.has_event = True\\n try:\\n event = json.loads(line)\\n if \\\"instance\\\" in event:\\n inp.callback(event)\\n inp.redraw()\\n except ValueError:\\n pass\\n epoll.unregister(sys.stdin.fileno())\\n epoll.close()\\n inp.has_event = True\\n inp.clean_exit = True\",\n \"def read_input():\\n\\n read = sys.stdin.readlines()\\n\\n text = ''\\n for line in read:\\n text += line\\n\\n return text\",\n \"def write_stdout(self, data):\\n filt, handler = self.filter[-1]\\n data, filtered = filt.filter(data)\\n self._write(pty.STDOUT_FILENO, data)\\n if filtered:\\n self.log(\\\"Filter matched %d bytes\\\" % len(filtered))\\n self.filter.pop()\\n assert callable(handler)\\n res = handler(filtered)\\n if res:\\n self.sock.sendto(res, 0, self.last_addr)\",\n \"def write(self, data):\\r\\n try:\\r\\n char_handle = self._stdinout_characteristic.getHandle()\\r\\n bytes_sent = 0\\r\\n while bytes_sent < len(data):\\r\\n # Computing data to send.\\r\\n bytes_to_send = min(\\r\\n self._MAXIMUM_MESSAGE_SIZE_BYTES,\\r\\n len(data) - bytes_sent\\r\\n )\\r\\n data_to_send = data[bytes_sent:bytes_sent + bytes_to_send]\\r\\n\\r\\n # Writing data.\\r\\n self._node.writeCharacteristic(\\r\\n char_handle,\\r\\n data_to_send,\\r\\n True)\\r\\n bytes_sent += bytes_to_send\\r\\n\\r\\n # Calling on-write callback for a debug characteristic.\\r\\n self.on_write_characteristic(\\r\\n self._stdinout_characteristic, data_to_send, True)\\r\\n\\r\\n return bytes_sent\\r\\n\\r\\n except BTLEException as e:\\r\\n self._node._unexpected_disconnect()\",\n \"def communicate(args, **kwargs):\\n stdin = None\\n # When stdin is passed as an argument, use it as the actual input data and\\n # set the Popen() parameter accordingly.\\n if 'stdin' in kwargs and isinstance(kwargs['stdin'], basestring):\\n stdin = kwargs['stdin']\\n kwargs['stdin'] = PIPE\\n\\n proc = Popen(args, **kwargs)\\n return proc.communicate(stdin), proc.returncode\",\n \"def run_process(self, inp=\\\"\\\"):\\n return subprocess.run(self.binary,\\n input=inp,\\n stdout=subprocess.PIPE,\\n stderr=subprocess.PIPE,\\n universal_newlines=True)\",\n \"def recvraw(self):\\n\\n if self.stdin is None:\\n return _python_input_function()\\n else:\\n return self.stdin.readline().rstrip('\\\\n')\",\n \"def threading_copy(self, data):\\n r_fd, w_fd = os.pipe()\\n rstream = os.fdopen(r_fd, \\\"rb\\\")\\n wstream = os.fdopen(w_fd, \\\"wb\\\")\\n copy_thread = threading.Thread(target=self.copystream, args=(rstream,))\\n copy_thread.start()\\n self.writestream(data, wstream)\\n wstream.close()\\n copy_thread.join()\",\n \"def server_do(self,input, connstream):\\r\\n pass\",\n \"def WriteToPipeIn(self, epAddr, data): \\n return self._server.write_to_pipe_in(self._serial, epAddr, list(data))\",\n \"def runin(cmd, stdin):\\n result = subprocess.Popen(cmd,stdin=subprocess.PIPE)\\n result.wait()\\n return result.returncode\",\n \"def connectionMade(self):\\n self._pid = self.transport.pid\\n if self._pid:\\n self.logger(\\\"Process has pid %d\\\" % self._pid)\\n self.transport.closeStdin() # close stdin\",\n \"def send(self, *args, **kwargs):\\n if not self.paused():\\n raise RuntimeError(\\\"Machine is not awaiting input\\\")\\n else:\\n self.args = (args, kwargs)\",\n \"def collect_incoming_data(self, data):\\n self.__input.append(data)\",\n \"def execute(self, technique: Technique):\\n\\n binary = technique.ident\\n enter, input, exit = binary.shell(self.pty.shell, suid=True)\\n\\n # Run the start commands\\n self.pty.process(enter, delim=False)\\n\\n # Send required input\\n self.pty.client.send(input.encode(\\\"utf-8\\\"))\\n\\n return exit # remember how to close out of this privesc\",\n \"def scan_input(self):\\n proc = subprocess.Popen([\\\"ssh\\\", \\\"-tt\\\", \\\"pi@127.0.0.1\\\"],\\n stdout=subprocess.PIPE, stdin=subprocess.PIPE)\\n # give time to connect\\n time.sleep(5)\\n proc.stdin.write(\\n b\\\"/home/pi/Desktop/GAssist/env/bin/google-assistant-demo\\\\n\\\")\\n proc.stdin.flush()\\n while True:\\n next_line = proc.stdout.readline()\\n if next_line != '':\\n # the real code does filtering here\\n tmp = next_line.decode(\\\"utf-8\\\")\\n print(tmp)\\n tmp = tmp.strip().lower()\\n for test_re in self.text_regexes:\\n match_test = test_re.match(tmp)\\n if match_test:\\n self.handle_input(match_test.group(1).strip())\\n else:\\n time.sleep(.01)\",\n \"def communicate(self, std_in=None, timeout=0):\\n if timeout <= 0:\\n return super(Popen, self).communicate(input=std_in)\\n\\n fds = []\\n stdout = []\\n stderr = []\\n\\n if self.stdout is not None:\\n set_file_nonblock(self.stdout)\\n fds.append(self.stdout)\\n if self.stderr is not None:\\n set_file_nonblock(self.stderr)\\n fds.append(self.stderr)\\n\\n if std_in is not None and sys.stdin is not None:\\n sys.stdin.write(std_in)\\n\\n returncode = None\\n inactive = 0\\n while returncode is None:\\n (rlist, dummy_wlist, dummy_xlist) = select.select(\\n fds, [], [], 1.0)\\n\\n if not rlist:\\n inactive += 1\\n if inactive >= timeout:\\n raise TimeoutError\\n else:\\n inactive = 0\\n for fd in rlist:\\n if fd is self.stdout:\\n stdout.append(fd.read())\\n elif fd is self.stderr:\\n stderr.append(fd.read())\\n\\n returncode = self.poll()\\n\\n if self.stdout is not None:\\n stdout = ''.join(stdout)\\n else:\\n stdout = None\\n if self.stderr is not None:\\n stderr = ''.join(stderr)\\n else:\\n stderr = None\\n\\n return (stdout, stderr)\",\n \"def live_network_input_to_pipe(iface=None, p=None):\\n\\n global g_pipein\\n\\n print(\\\"Named Pipe '{0}' has been opened for writing. Waiting for Pipe Reader to connect.\\\".format(p))\\n g_pipein = open(p, 'wb')\\n print(\\\"Connected to Named Pipe '{0}'. Writing binary TDMs into pipe.\\\".format(p))\\n\\n if iface is None:\\n print(\\\"Listening on default interface.\\\")\\n try:\\n sniff(prn=write_tdm_to_pipe)\\n except IOError as e:\\n if e.errno == errno.EPIPE:\\n print(\\\"Broken Pipe: EPIPE\\\")\\n else:\\n print(\\\"Listening on interface: {0}\\\".format(iface))\\n try:\\n sniff(iface=iface, prn=write_tdm_to_pipe)\\n except IOError as e:\\n if e.errno == errno.EPIPE:\\n print(\\\"Broken Pipe: EPIPE\\\")\",\n \"def run_python_stdin(python, file_args=None, directives=None):\\n import shutil\\n import tempfile\\n\\n with tempfile.NamedTemporaryFile(suffix='.py') as f:\\n shutil.copyfileobj(sys.stdin, f)\\n f.flush()\\n\\n file_args = [f.name] + list(file_args or ())\\n run_python_file(python, file_args, directives)\",\n \"def continuous_shell_reader(self):\\n\\n while not self.thread_stop.is_set():\\n out = self.shell_reader()\\n\\n if not out == \\\"\\\":\\n print(\\\"IPC: Received: {}\\\".format(out))\",\n \"def set_stdio(inp):\\r\\n default_stdin = sys.stdin\\r\\n sys.stdin = StringIO(inp)\\r\\n default_stdout = sys.stdout\\r\\n sys.stdout = mystdout = StringIO()\\r\\n return default_stdin, default_stdout, mystdout\",\n \"def pingAgentProcess( self ):\\n try:\\n self.lock.acquire()\\n\\n if self.agent is None or self.agent.poll() is not None:\\n return\\n\\n self.agent.stdin.write( 'hello\\\\n' )\\n self.agent.stdin.flush()\\n finally:\\n self.lock.release()\",\n \"def getch(self):\\t # get 1 byte from stdin\\n\\t\\treturn sys.stdin.read(1)\",\n \"def send_command(self, command):\\n stdin, stdout, stderr = self.ssh_client.exec_command(command)\\n return stdout.readlines()\",\n \"def send_enter():\\n sys.stdout.write('\\\\x0D') # send carriage return\\n sys.stdout.flush()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7741889","0.7658585","0.76509887","0.75933856","0.7503921","0.7494124","0.7365971","0.7141076","0.7000852","0.6967747","0.6881967","0.68283165","0.67600954","0.6745928","0.6668038","0.6605815","0.6481066","0.64001137","0.63949114","0.6270043","0.62556726","0.62385255","0.62025994","0.6056685","0.60175997","0.6017262","0.60026217","0.59912366","0.59847766","0.59403116","0.59341747","0.59310734","0.57677084","0.5744669","0.57191944","0.57078475","0.56990546","0.56922996","0.5688699","0.5655805","0.5649605","0.5644868","0.5624177","0.5615417","0.5592042","0.55821157","0.5565265","0.5562639","0.55599725","0.5550713","0.5526504","0.5524541","0.5524397","0.5510715","0.5508886","0.54894966","0.5480219","0.54717577","0.54670256","0.54628044","0.5445239","0.54445964","0.5417918","0.53983766","0.5393377","0.5381578","0.53750676","0.5356832","0.5355164","0.5348384","0.53448707","0.5333086","0.532736","0.53266007","0.5310466","0.53100234","0.5308773","0.5300952","0.5290379","0.52886134","0.52848065","0.5284658","0.527753","0.527496","0.52652955","0.5259584","0.52565193","0.5255935","0.5255432","0.5253667","0.52493566","0.5249049","0.5248646","0.5247048","0.5233346","0.52290374","0.5220966","0.52144283","0.5200266","0.51953036"],"string":"[\n \"0.7741889\",\n \"0.7658585\",\n \"0.76509887\",\n \"0.75933856\",\n \"0.7503921\",\n \"0.7494124\",\n \"0.7365971\",\n \"0.7141076\",\n \"0.7000852\",\n \"0.6967747\",\n \"0.6881967\",\n \"0.68283165\",\n \"0.67600954\",\n \"0.6745928\",\n \"0.6668038\",\n \"0.6605815\",\n \"0.6481066\",\n \"0.64001137\",\n \"0.63949114\",\n \"0.6270043\",\n \"0.62556726\",\n \"0.62385255\",\n \"0.62025994\",\n \"0.6056685\",\n \"0.60175997\",\n \"0.6017262\",\n \"0.60026217\",\n \"0.59912366\",\n \"0.59847766\",\n \"0.59403116\",\n \"0.59341747\",\n \"0.59310734\",\n \"0.57677084\",\n \"0.5744669\",\n \"0.57191944\",\n \"0.57078475\",\n \"0.56990546\",\n \"0.56922996\",\n \"0.5688699\",\n \"0.5655805\",\n \"0.5649605\",\n \"0.5644868\",\n \"0.5624177\",\n \"0.5615417\",\n \"0.5592042\",\n \"0.55821157\",\n \"0.5565265\",\n \"0.5562639\",\n \"0.55599725\",\n \"0.5550713\",\n \"0.5526504\",\n \"0.5524541\",\n \"0.5524397\",\n \"0.5510715\",\n \"0.5508886\",\n \"0.54894966\",\n \"0.5480219\",\n \"0.54717577\",\n \"0.54670256\",\n \"0.54628044\",\n \"0.5445239\",\n \"0.54445964\",\n \"0.5417918\",\n \"0.53983766\",\n \"0.5393377\",\n \"0.5381578\",\n \"0.53750676\",\n \"0.5356832\",\n \"0.5355164\",\n \"0.5348384\",\n \"0.53448707\",\n \"0.5333086\",\n \"0.532736\",\n \"0.53266007\",\n \"0.5310466\",\n \"0.53100234\",\n \"0.5308773\",\n \"0.5300952\",\n \"0.5290379\",\n \"0.52886134\",\n \"0.52848065\",\n \"0.5284658\",\n \"0.527753\",\n \"0.527496\",\n \"0.52652955\",\n \"0.5259584\",\n \"0.52565193\",\n \"0.5255935\",\n \"0.5255432\",\n \"0.5253667\",\n \"0.52493566\",\n \"0.5249049\",\n \"0.5248646\",\n \"0.5247048\",\n \"0.5233346\",\n \"0.52290374\",\n \"0.5220966\",\n \"0.52144283\",\n \"0.5200266\",\n \"0.51953036\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.65630895"},"document_rank":{"kind":"string","value":"16"}}},{"rowIdx":4788,"cells":{"query":{"kind":"string","value":"Send a signal to the process"},"document":{"kind":"string","value":"def sendSignal (self, signal) :\n\n data = streamModule.WriteBuffer()\n\n data.writeStruct('B', signal)\n\n return self.sendCommand(\"CMD_IN_DO_KILL\", data.getvalue()).addCallback(self._sendSignal_result)"},"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 send_signal(self, sig):\n os.kill(self.pid, sig)","def send_signal(self, signal):\n self.kill()","def send_signal(self, sig):\n if self.thread.is_alive():\n self.process.send_signal(sig)\n else:\n lg.warning(\"Couldn't deliver signal \"\n \"to already dead process {} ({})\".format(self.command[0], self.process.pd)\n )","def signalProcess(self, signal, name):\n if name not in self.protocols:\n return\n proc = self.protocols[name].transport\n try:\n proc.signalProcess(signal)\n except ProcessExitedAlready:\n pass","async def send_signal(self, signum: int) -> None:\n signal_delivered = await self._send_signal_via_listener(signum)\n if not signal_delivered:\n # Fallback\n # if we have a local process, use its method, else determine if the ip is local or remote and issue\n # the appropriate version to signal the process.\n if self.local_proc:\n if self.pgid > 0 and hasattr(os, \"killpg\"):\n try:\n os.killpg(self.pgid, signum)\n return\n except OSError:\n pass\n self.local_proc.send_signal(signum)\n # else:\n # if self.ip and self.pid > 0:\n # if ip_is_local(self.ip):\n # self.local_signal(signum)\n # else:\n # self.remote_signal(signum)\n return","def send_signal(self, sig):\r\n sig = { 0x01 : \"HUP\",\r\n 0x02 : \"INT\",\r\n 0x03 : \"NEWNYM\",\r\n 0x0A : \"USR1\",\r\n 0x0C : \"USR2\",\r\n 0x0F : \"TERM\" }.get(sig,sig)\r\n self.sendAndRecv(\"SIGNAL %s\\r\\n\"%sig)","def signal(self, args):\n pass","def send_signal(self, signum):\n if signum == 0:\n return self.poll()\n elif signum == signal.SIGKILL:\n return self.kill()\n else:\n # This is very likely an interrupt signal, so defer to the super class\n # which should use the communication port.\n return super(ContainerProcessProxy, self).send_signal(signum)","def handler(signum, frame):\n m.signal()","def signal(self):\n self.mainloop().signal()","def signal(self):\n pass","def kill(self, sig):\n\n # we parse the signal at the client level to reduce the time we pass\n # in the server.\n signum = parse_signal_value(sig)\n\n body = json.dumps({\"signal\": signum})\n self.server.request(\"post\", \"/jobs/%s/%s/signal\" % (self.sessionid,\n self.name), body=body)\n return True","def signal(sig, action): # real signature unknown; restored from __doc__\n pass","def signalProcess(self, signalID):\r\n params = {\r\n \"TERM\": (self._terminationDelay, 0),\r\n \"KILL\": (0, 1)\r\n }\r\n\r\n if self.pid is None:\r\n raise ProcessExitedAlready()\r\n\r\n if signalID in params:\r\n delay, status = params[signalID]\r\n self._signalHandler = self._reactor.callLater(\r\n delay, self.processEnded, status)","def send_signal(self, sig: int = signal.SIGKILL, children: bool = False) -> Task:\n if self._process and self._process.pid is not None:\n kill(self._process.pid, sig=sig, children=children)\n return self","def signal_handler(self, signum, frame):\n self._running = False","def signal_handler(signal, frame):\n print()\n endProgram(0)","def kill(self, signal: Union[str, int, None] = None):\n params = dict()\n if signal is not None:\n params[\"signal\"] = signal","def test_signal_interruption(self):\n process = Popen(\n [STRATIS_CLI, \"pool\", \"create\",\n p_n(), DISKS[0]],\n stdout=PIPE,\n stderr=PIPE,\n close_fds=True,\n env=os.environ)\n time.sleep(0.05)\n process.send_signal(2)\n result = process.communicate()\n stdout_text = \"\"\n stderr_text = \"\"\n if result[0]:\n stdout_text = bytes(result[0]).decode(\"utf-8\")\n if result[1]:\n stderr_text = bytes(result[1]).decode(\"utf-8\")\n\n self.assertTrue(\"Traceback\" not in stdout_text)\n self.assertTrue(\"Traceback\" not in stderr_text)\n self.assertNotEqual(process.returncode, 0)","def sighandler(signum, frame):\n global _terminate\n global _interruptcnt\n print >> FileKeyUtils.WMSlog, 'sighandler> ', signum\n ++_interruptcnt \n if signum in(signal.SIGABRT, signal.SIGINT, signal.SIGTERM):\n print >> FileKeyUtils.WMSlog, 'sighandler> terminate pid: ', os.getpid(), signum\n _terminate = True\n elif signum in(signal.SIGHUP, signal.SIGTSTP):\n print >> FileKeyUtils.WMSlog, 'sighandler> suspend/stop/pause pid: ', os.getpid(), signum\n signal.pause()\n else:\n print >> FileKeyUtils.WMSlog, 'sighandler> resume/continue pid: ', os.getpid(), signum\n _terminate = False","def send(signal, *args, **kwargs):\n _dispatcher.send(signal=signal, *args, **kwargs)","def cli():\n signal.signal(signal.SIGINT, signal_handler)\n pass","def signal_handler(signal, frame):\n output.write(\"SIGTERM received (launch_simulations talking)\\n\")\n p.kill(15)\n sys.exit(1)","def signal_handler(self, signum):\n raise Exception(\"Caught signal {0}\".format(signum))","def _signal_handler(*args):\n self._user_exit = True","def handler(signum, frame):\n print(\"Signal handler called with signal %i\" % signum)\n sys.exit(-1)","def _signal_handler(*_: typing.Any) -> None:\n shutdown_event.set()","def send_signal(self, signal):\n if self.in_spectator_mode: return None\n logger.debug(\"Node %s broadcasts signal %s\" % (self, signal))\n dispatcher.send(signal=signal, sender=self)","def signal_handler(signum, frame):\n sys.exit(0)","async def _send_signal_via_listener(self, signum: int) -> bool:\n # If the launcher returned a comm_port value, then use that to send the signal,\n # else, defer to the superclass - which will use a remote shell to issue kill.\n # Note that if the target process is running as a different user than the REMOTE_USER,\n # using anything other than the socket-based signal (via signal_addr) will not work.\n if self.comm_port > 0:\n signal_request = dict()\n signal_request['signum'] = signum\n\n try:\n await self._send_listener_request(signal_request)\n if signum > 0: # Polling (signum == 0) is too frequent\n self.log.debug(\"Signal ({}) sent via gateway communication port.\".format(signum))\n return True\n except Exception as e:\n if isinstance(e, OSError) and e.errno == errno.ECONNREFUSED: # Return since there's no process.\n return True\n\n self.log.warning(f\"An unexpected exception occurred sending signal ({signum}) \"\n f\"via listener for KernelID '{self.kernel_id}': {e}\")\n return False","def signal_handler(sig, frame):\n raise ExitException()","def _signal_handler(signum, frame):\n res_mgr()\n sys.exit(0)","def kill(self):\n self.send_signal(signal.SIGKILL)","def signal_handler(self, signal_number, frame):\n sys.exit(0)","def signal(self):\n assert self._pa_threaded_mainloop is not None\n pa.pa_threaded_mainloop_signal(self._pa_threaded_mainloop, 0)","def __before_termination__(self, sig):\n print(\"Ahhhh! I'm going to be killed. My pid:{}, signal received:{}\".format(self.pid, sig ) )","def handler_sighup(signum, frame):\n global done, pipe\n\n try:\n pipe.flush()\n pipe.close()\n except:\n pass\n pipe = None\n done = True","def _signal_handler(signalnum: int, _: Any) -> None:\n logger.info('Received signal: {0}', signal.Signals(signalnum).name)\n # safely close video stream & writer\n stream.stop()\n writer.close()\n sys.exit(0)","def signal_handler(signum, frame):\n main.CLOSE = True","def kill(pid, sig=signal.SIGTERM.value):\n pid = int(pid)\n sig = int(sig)\n proc = psutil.Process(pid)\n try:\n proc.send_signal(sig)\n return True\n except Exception as e:\n raise j.exceptions.RuntimeError(\"Could not kill process with id %s.\\n%s\" % (pid, e))","async def remote_signal(self, sig):\n\n username = self.get_remote_user(self.user.name)\n k = asyncssh.read_private_key(self.ssh_keyfile.format(username=self.user.name))\n\n command = \"kill -s %s %d < /dev/null\" % (sig, self.pid)\n\n async with asyncssh.connect(self.remote_host,username=username,client_keys=[k],known_hosts=None) as conn:\n result = await conn.run(command)\n stdout = result.stdout\n stderr = result.stderr\n retcode = result.exit_status\n self.log.debug(\"command: {} returned {} --- {} --- {}\".format(command, stdout, stderr, retcode))\n return (retcode == 0)","def signal_handler(sig_num, frame):\n global exit_flag\n logger.warn('Signal Recieved: {}'.format(str(sig_num)))\n if sig_num:\n exit_flag = True","def signalProcess(self, processTag=None, event='cancel'):\r\n if processTag is None:\r\n self.mutex.clear()\r\n while not self.asyncQueue.empty():\r\n self.asyncQueue.get()\r\n self.asyncQueue.task_done()\r\n while not self.syncQueue.empty():\r\n self.syncQueue.get()\r\n self.syncQueue.task_done()\r\n toQueue = [PROCESS_MESSAGE, None, None, [], {}, self.processMessage()]\r\n for k in range(self.activeWorkers):\r\n self.asyncQueue.put(toQueue)\r\n return\r\n elif processTag not in self.activeList:\r\n raise Exception(\"%s is not an active process\"%processTag)\r\n cancel_event, wait_event, outProcessor = self.activeList[processTag]\r\n if event == 'cancel':\r\n cancel_event.clear()\r\n elif event == 'wait':\r\n wait_event.clear()\r\n args = (PROCESS_PAUSE, processTag,'Proceso pausado')\r\n kwargs = {}\r\n outProcessor(*args, **kwargs)\r\n\r\n elif event == 'resume':\r\n wait_event.set()\r\n args = (PROCESS_PAUSE, processTag, 'Proceso reanudado')\r\n kwargs = {}\r\n outProcessor(*args, **kwargs)\r\n else:\r\n cancel_event.clear()","def signal_handler(self, signum, frame):\n if signum == signal.SIGINT:\n self.terminate = True\n elif signum == signal.SIGALRM:\n self.button_handler(self.BUTTON_PIN)","def signal_handler(signal_number, stack_frame):\n if signal_number in [signal.SIGTERM, signal.SIGINT]:\n terminate_surveillance()","def signal_handler(sig, frame):\n sys.exit(0)","def __signalHandler(self, signalNumber, frame):\n self._loop = False","def send_signal(self, dst=\"any\", tag=None, value=None, src=None):\n self._signal_pool.signal(src or self.name,dst,tag,value)","def _sigint(self, signal, frame):\n self.disconnect = True\n if self.cardinal:\n self.cardinal.quit('Received SIGINT.')","def kill(self, signal=None):\n\n return self.client.api.kill(self.id, signal=signal)","def signal_oi(self):\n pass","def signal_pid(pid, sig):\n try:\n os.kill(pid, sig)\n except OSError:\n # The process may have died before we could kill it.\n pass\n\n for i in range(5):\n if not pid_is_alive(pid):\n return True\n time.sleep(1)\n\n # The process is still alive\n return False","def kill(self, sig):\r\n now = time.time()\r\n options = self.config.options\r\n\r\n # Properly stop processes in BACKOFF state.\r\n if self.state == ProcessStates.BACKOFF:\r\n msg = (\"Attempted to kill %s, which is in BACKOFF state.\" %\r\n (self.config.name))\r\n options.logger.debug(msg)\r\n self.change_state(ProcessStates.STOPPED)\r\n return None\r\n\r\n if not self.pid:\r\n msg = (\"attempted to kill %s with sig %s but it wasn't running\" %\r\n (self.config.name, signame(sig)))\r\n options.logger.debug(msg)\r\n return msg\r\n\r\n #If we're in the stopping state, then we've already sent the stop\r\n #signal and this is the kill signal\r\n if self.state == ProcessStates.STOPPING:\r\n killasgroup = self.config.killasgroup\r\n else:\r\n killasgroup = self.config.stopasgroup\r\n\r\n as_group = \"\"\r\n if killasgroup:\r\n as_group = \"process group \"\r\n\r\n options.logger.debug('killing %s (pid %s) %swith signal %s'\r\n % (self.config.name,\r\n self.pid,\r\n as_group,\r\n signame(sig))\r\n )\r\n\r\n # RUNNING/STARTING/STOPPING -> STOPPING\r\n self.killing = 1\r\n self.delay = now + self.config.stopwaitsecs\r\n # we will already be in the STOPPING state if we're doing a\r\n # SIGKILL as a result of overrunning stopwaitsecs\r\n self._assertInState(ProcessStates.RUNNING,ProcessStates.STARTING,\r\n ProcessStates.STOPPING)\r\n self.change_state(ProcessStates.STOPPING)\r\n\r\n pid = self.pid\r\n if killasgroup:\r\n # send to the whole process group instead\r\n pid = -self.pid\r\n\r\n try:\r\n options.kill(pid, sig)\r\n except:\r\n io = StringIO()\r\n traceback.print_exc(file=io)\r\n tb = io.getvalue()\r\n msg = 'unknown problem killing %s (%s):%s' % (self.config.name,\r\n self.pid, tb)\r\n options.logger.critical(msg)\r\n self.change_state(ProcessStates.UNKNOWN)\r\n self.pid = 0\r\n self.killing = 0\r\n self.delay = 0\r\n return msg\r\n\r\n return None","def handler(signum, frame):\n logging.warning(\"Got a {} signal. Doing nothing\".format(signum))","def _on_parent_process_kill(self):","def send(self, signal, msg=\"\"):\n self.transport.write(str(str(signal) + msg).encode())","def restart_worker_sig_handler(signum, frame):\n worker.logger.warn(\"Restarting celeryd (%s)\" % (\n \" \".join(sys.argv)))\n worker.stop()\n os.execv(sys.executable, [sys.executable] + sys.argv)","def signalAll(self, signal, startswithname=None):\n for name in self.processes.keys():\n if startswithname is None or name.startswith(startswithname):\n self.signalProcess(signal, name)","def kill(self):\n self._stop_proc(signal.SIGKILL)","def signal_handler(self, signal, frame):\r\n print 'You pressed Ctrl+C!'\r\n sys.exit(0)","def signal_handler(signal, frame):\n sys.exit(0)","def signal_handler(signal, frame):\n sys.exit(0)","def signal_handler(signal, frame):\n sys.exit(0)","def kill_all_processes(self, signal=signal.SIGINT) -> None:\n for task_name, sp in self.process_queue:\n sp.send_signal(signal)","def kill(name, signal=9, exact=False):\n for pid in find(name, exact):\n run(\"kill -s {0} {1}\".format(signal, pid))","def stop(self, signal):\n pass","def stop(self, signal):\n pass","def send(signal, sender=dispatcher.Anonymous, *args, **kwargs):\n logger.debug('Sending {} from {}'.format(signal, sender))\n return dispatcher.send(signal, sender, *args, **kwargs)","def _send_signal(\n self,\n signal : daemoniker.DaemonikerSignal,\n timeout : Optional[Union[float, int]] = 3,\n check_timeout_interval : float = 0.1,\n ):\n import time\n daemoniker = attempt_import('daemoniker')\n\n try:\n daemoniker.send(str(self.pid_path), daemoniker.SIGINT)\n except Exception as e:\n return False, str(e)\n if timeout is None:\n return True, f\"Successfully sent '{signal}' to daemon '{self.daemon_id}'.\"\n begin = time.time()\n while (time.time() - begin) < timeout:\n if not self.pid_path.exists():\n return True, f\"Successfully stopped daemon '{self.daemon_id}'.\"\n time.sleep(check_timeout_interval)\n return False, (\n f\"Failed to stop daemon '{self.daemon_id}' within {timeout} second\"\n + ('s' if timeout != 1 else '') + '.'\n )","def set_signal(self):\n eprint(\"Signal caught, ending log...\")\n self.log_sig = True","def signal_handler(signal, frame):\n\n process_id = multiprocessing.current_process().name\n if process_id == 'child':\n return\n logger = logging.getlogger('signal_handler')\n logger.info('ctrl-c received.')\n logger.info('telling pipeline to shutdown')\n global pipeline\n pipeline.shutdown()","def siginterrupt(sig, flag): # real signature unknown; restored from __doc__\n pass","def term_mp(sig_num, frame):\n pid = os.getpid()\n pgid = os.getpgid(os.getpid())\n logger.info(\"main proc {} exit, kill process group \"\n \"{}\".format(pid, pgid))\n os.killpg(pgid, signal.SIGKILL)","def signal_handler(*args):\n if station:\n station.shutdown()","def Kill(self, sig, log_level, first=False):\n self._killing.set()\n self._WaitForStartup()\n if logging.getLogger().isEnabledFor(log_level):\n # Dump debug information about the hanging process.\n logging.log(log_level, 'Killing %r (sig=%r %s)', self.pid, sig,\n signals.StrSignal(sig))\n\n if first:\n ppid = str(self.pid)\n output = self._DebugRunCommand(\n ('pgrep', '-P', ppid), debug_level=log_level, print_cmd=False,\n error_code_ok=True, capture_output=True)\n for pid in [ppid] + output.splitlines():\n self._DumpDebugPid(log_level, pid)\n\n try:\n os.kill(self.pid, sig)\n except OSError as ex:\n if ex.errno != errno.ESRCH:\n raise","def sigtrace_handler(sig,ign):\n global SIGNALS\n print(\"received SIG%s: %s\"%(SIGNALS[sig],process_infos(\"???\")),file=sys.stderr)\n if sig == 2:\n # Python has a special handler for SIGINT that generates\n # a KeyboardInterrupt exception\n signal.signal(sig,signal.default_int_handler)\n elif sig == signal.SIGCONT:\n # When the process restarts after being stopped we re-install\n # tracing handler on Ctrl-Z and TTIN/TTOUT signals so it is\n # possible to play with job control\n signal.signal(signal.SIGTSTP,sigtrace_handler)\n signal.signal(signal.SIGTTOU,sigtrace_handler)\n signal.signal(signal.SIGTTIN,sigtrace_handler)\n else:\n # Once a signal has been received we reinstall the default\n # handler before self-resending the signal\n signal.signal(sig,signal.SIG_DFL)\n # All signal received but SIGCONT are self-resent after being received\n if sig != signal.SIGCONT:\n os.kill(os.getpid(),sig)","def _on_event(self, event) -> None:\n self.signal.emit(event)","def signal_handler(signum, frame):\n monitor.stop()\n sys.exit(0)","def kill(self):\n\n self.proc.kill()","def try_kill(pid, sig):\n try:\n os.kill(int(pid), sig)\n except OSError:\n pass","def requeueHandler(self, signum, frame):\n args = self.args\n print('Signal received', signum, time.time(), flush=True)\n self.SIGNAL_RECEIVED = True\n\n if os.path.isfile(self.HALT_filename):\n print('Job is done, exiting', flush=True)\n exit(0)","def signal_handler(signal_received, frame):\n\n sys.stdout.write('\\n')\n sys.exit(0)","def handle_signal(sig, frame):\n IOLoop.instance().add_callback(IOLoop.instance().stop)","def sigint_handler(signal, frame):\n rclpy.shutdown()\n if prev_sigint_handler is not None:\n prev_sigint_handler(signal)","def signal_ready(self):\n self._container.kill(signal.SIGUSR1)","def register_signal_handler(self):\n signal.signal(signal.SIGINT, self.quit_gracefully)\n signal.signal(signal.SIGTERM, self.quit_gracefully)\n return","def shutdownSignal(signum, frame):\n LOG.warning(\"shutting down, got signal %d\", signum)\n shutdown()","def _kill_self():\n os.kill(os.getpid(), signal.SIGKILL)","def process_signal(self, src, tag, value):\n pass","def signal_handler(signal, frame):\n print(chr(27) + \"[2J\")\n sys.exit(0)","def signal(signal=None):\n no_extra_args = (\"configtest\", \"status\", \"fullstatus\")\n valid_signals = (\"start\", \"stop\", \"restart\", \"graceful\", \"graceful-stop\")\n\n if signal not in valid_signals and signal not in no_extra_args:\n return\n # Make sure you use the right arguments\n if signal in valid_signals:\n arguments = \" -k {}\".format(signal)\n else:\n arguments = \" {}\".format(signal)\n cmd = _detect_os() + arguments\n out = __salt__[\"cmd.run_all\"](cmd)\n\n # A non-zero return code means fail\n if out[\"retcode\"] and out[\"stderr\"]:\n ret = out[\"stderr\"].strip()\n # 'apachectl configtest' returns 'Syntax OK' to stderr\n elif out[\"stderr\"]:\n ret = out[\"stderr\"].strip()\n elif out[\"stdout\"]:\n ret = out[\"stdout\"].strip()\n # No output for something like: apachectl graceful\n else:\n ret = 'Command: \"{}\" completed successfully!'.format(cmd)\n return ret","def kill(self):\n if self.transport.pid is not None:\n self.transport.signalProcess('KILL')","def _send_kernel_sigterm(self, restart: bool = False):","def signal_kernel(self, signum):\n pass","def remote_kill():","def _terminate(self):\n\n stopsignal = self.stopsignal\n\n log.info('Stop Process Requested')\n self._terminating = True\n if self._p0:\n log.info('Sending signal %s to process %s' % (stopsignal, self._p0.pid))\n kill_tree(self._p0.pid, stopsignal)\n elif self._p0 is None:\n raise errors.ChalmersError(\"This process did not start this program, can not call _terminate\")","def trigger_signal(self, signal: str) -> None:\n logger.debug(\"Triggered Signal %s\", signal)\n for handler in self.signals[signal]:\n if not iscoroutinefunction(handler):\n handler(self, signal)","def signal_handler(signal, frame): \n import signal\n import sys\n from time import localtime, strftime\n time = strftime(\"%H:%M:%S\", localtime())\n sel = raw_input('\\n\\n%s: Paused. Press return to resume, or type exit to quit: \\n' % time)\n if sel.startswith('e') or sel.startswith('E'):\n sys.exit(0)\n else:\n time = strftime(\"%H:%M:%S\", localtime())\n print '%s: Interrogation resumed.\\n' % time","def kill(self, signum, frame):\n self.delete()\n os.kill(os.getpid(), signum)","def signal_handler(signum, frame):\n self.log.error(\"Received SIGTERM. Terminating subprocesses\")\n self.task_runner.terminate()\n self.handle_task_exit(128 + signum)"],"string":"[\n \"def send_signal(self, sig):\\n os.kill(self.pid, sig)\",\n \"def send_signal(self, signal):\\n self.kill()\",\n \"def send_signal(self, sig):\\n if self.thread.is_alive():\\n self.process.send_signal(sig)\\n else:\\n lg.warning(\\\"Couldn't deliver signal \\\"\\n \\\"to already dead process {} ({})\\\".format(self.command[0], self.process.pd)\\n )\",\n \"def signalProcess(self, signal, name):\\n if name not in self.protocols:\\n return\\n proc = self.protocols[name].transport\\n try:\\n proc.signalProcess(signal)\\n except ProcessExitedAlready:\\n pass\",\n \"async def send_signal(self, signum: int) -> None:\\n signal_delivered = await self._send_signal_via_listener(signum)\\n if not signal_delivered:\\n # Fallback\\n # if we have a local process, use its method, else determine if the ip is local or remote and issue\\n # the appropriate version to signal the process.\\n if self.local_proc:\\n if self.pgid > 0 and hasattr(os, \\\"killpg\\\"):\\n try:\\n os.killpg(self.pgid, signum)\\n return\\n except OSError:\\n pass\\n self.local_proc.send_signal(signum)\\n # else:\\n # if self.ip and self.pid > 0:\\n # if ip_is_local(self.ip):\\n # self.local_signal(signum)\\n # else:\\n # self.remote_signal(signum)\\n return\",\n \"def send_signal(self, sig):\\r\\n sig = { 0x01 : \\\"HUP\\\",\\r\\n 0x02 : \\\"INT\\\",\\r\\n 0x03 : \\\"NEWNYM\\\",\\r\\n 0x0A : \\\"USR1\\\",\\r\\n 0x0C : \\\"USR2\\\",\\r\\n 0x0F : \\\"TERM\\\" }.get(sig,sig)\\r\\n self.sendAndRecv(\\\"SIGNAL %s\\\\r\\\\n\\\"%sig)\",\n \"def signal(self, args):\\n pass\",\n \"def send_signal(self, signum):\\n if signum == 0:\\n return self.poll()\\n elif signum == signal.SIGKILL:\\n return self.kill()\\n else:\\n # This is very likely an interrupt signal, so defer to the super class\\n # which should use the communication port.\\n return super(ContainerProcessProxy, self).send_signal(signum)\",\n \"def handler(signum, frame):\\n m.signal()\",\n \"def signal(self):\\n self.mainloop().signal()\",\n \"def signal(self):\\n pass\",\n \"def kill(self, sig):\\n\\n # we parse the signal at the client level to reduce the time we pass\\n # in the server.\\n signum = parse_signal_value(sig)\\n\\n body = json.dumps({\\\"signal\\\": signum})\\n self.server.request(\\\"post\\\", \\\"/jobs/%s/%s/signal\\\" % (self.sessionid,\\n self.name), body=body)\\n return True\",\n \"def signal(sig, action): # real signature unknown; restored from __doc__\\n pass\",\n \"def signalProcess(self, signalID):\\r\\n params = {\\r\\n \\\"TERM\\\": (self._terminationDelay, 0),\\r\\n \\\"KILL\\\": (0, 1)\\r\\n }\\r\\n\\r\\n if self.pid is None:\\r\\n raise ProcessExitedAlready()\\r\\n\\r\\n if signalID in params:\\r\\n delay, status = params[signalID]\\r\\n self._signalHandler = self._reactor.callLater(\\r\\n delay, self.processEnded, status)\",\n \"def send_signal(self, sig: int = signal.SIGKILL, children: bool = False) -> Task:\\n if self._process and self._process.pid is not None:\\n kill(self._process.pid, sig=sig, children=children)\\n return self\",\n \"def signal_handler(self, signum, frame):\\n self._running = False\",\n \"def signal_handler(signal, frame):\\n print()\\n endProgram(0)\",\n \"def kill(self, signal: Union[str, int, None] = None):\\n params = dict()\\n if signal is not None:\\n params[\\\"signal\\\"] = signal\",\n \"def test_signal_interruption(self):\\n process = Popen(\\n [STRATIS_CLI, \\\"pool\\\", \\\"create\\\",\\n p_n(), DISKS[0]],\\n stdout=PIPE,\\n stderr=PIPE,\\n close_fds=True,\\n env=os.environ)\\n time.sleep(0.05)\\n process.send_signal(2)\\n result = process.communicate()\\n stdout_text = \\\"\\\"\\n stderr_text = \\\"\\\"\\n if result[0]:\\n stdout_text = bytes(result[0]).decode(\\\"utf-8\\\")\\n if result[1]:\\n stderr_text = bytes(result[1]).decode(\\\"utf-8\\\")\\n\\n self.assertTrue(\\\"Traceback\\\" not in stdout_text)\\n self.assertTrue(\\\"Traceback\\\" not in stderr_text)\\n self.assertNotEqual(process.returncode, 0)\",\n \"def sighandler(signum, frame):\\n global _terminate\\n global _interruptcnt\\n print >> FileKeyUtils.WMSlog, 'sighandler> ', signum\\n ++_interruptcnt \\n if signum in(signal.SIGABRT, signal.SIGINT, signal.SIGTERM):\\n print >> FileKeyUtils.WMSlog, 'sighandler> terminate pid: ', os.getpid(), signum\\n _terminate = True\\n elif signum in(signal.SIGHUP, signal.SIGTSTP):\\n print >> FileKeyUtils.WMSlog, 'sighandler> suspend/stop/pause pid: ', os.getpid(), signum\\n signal.pause()\\n else:\\n print >> FileKeyUtils.WMSlog, 'sighandler> resume/continue pid: ', os.getpid(), signum\\n _terminate = False\",\n \"def send(signal, *args, **kwargs):\\n _dispatcher.send(signal=signal, *args, **kwargs)\",\n \"def cli():\\n signal.signal(signal.SIGINT, signal_handler)\\n pass\",\n \"def signal_handler(signal, frame):\\n output.write(\\\"SIGTERM received (launch_simulations talking)\\\\n\\\")\\n p.kill(15)\\n sys.exit(1)\",\n \"def signal_handler(self, signum):\\n raise Exception(\\\"Caught signal {0}\\\".format(signum))\",\n \"def _signal_handler(*args):\\n self._user_exit = True\",\n \"def handler(signum, frame):\\n print(\\\"Signal handler called with signal %i\\\" % signum)\\n sys.exit(-1)\",\n \"def _signal_handler(*_: typing.Any) -> None:\\n shutdown_event.set()\",\n \"def send_signal(self, signal):\\n if self.in_spectator_mode: return None\\n logger.debug(\\\"Node %s broadcasts signal %s\\\" % (self, signal))\\n dispatcher.send(signal=signal, sender=self)\",\n \"def signal_handler(signum, frame):\\n sys.exit(0)\",\n \"async def _send_signal_via_listener(self, signum: int) -> bool:\\n # If the launcher returned a comm_port value, then use that to send the signal,\\n # else, defer to the superclass - which will use a remote shell to issue kill.\\n # Note that if the target process is running as a different user than the REMOTE_USER,\\n # using anything other than the socket-based signal (via signal_addr) will not work.\\n if self.comm_port > 0:\\n signal_request = dict()\\n signal_request['signum'] = signum\\n\\n try:\\n await self._send_listener_request(signal_request)\\n if signum > 0: # Polling (signum == 0) is too frequent\\n self.log.debug(\\\"Signal ({}) sent via gateway communication port.\\\".format(signum))\\n return True\\n except Exception as e:\\n if isinstance(e, OSError) and e.errno == errno.ECONNREFUSED: # Return since there's no process.\\n return True\\n\\n self.log.warning(f\\\"An unexpected exception occurred sending signal ({signum}) \\\"\\n f\\\"via listener for KernelID '{self.kernel_id}': {e}\\\")\\n return False\",\n \"def signal_handler(sig, frame):\\n raise ExitException()\",\n \"def _signal_handler(signum, frame):\\n res_mgr()\\n sys.exit(0)\",\n \"def kill(self):\\n self.send_signal(signal.SIGKILL)\",\n \"def signal_handler(self, signal_number, frame):\\n sys.exit(0)\",\n \"def signal(self):\\n assert self._pa_threaded_mainloop is not None\\n pa.pa_threaded_mainloop_signal(self._pa_threaded_mainloop, 0)\",\n \"def __before_termination__(self, sig):\\n print(\\\"Ahhhh! I'm going to be killed. My pid:{}, signal received:{}\\\".format(self.pid, sig ) )\",\n \"def handler_sighup(signum, frame):\\n global done, pipe\\n\\n try:\\n pipe.flush()\\n pipe.close()\\n except:\\n pass\\n pipe = None\\n done = True\",\n \"def _signal_handler(signalnum: int, _: Any) -> None:\\n logger.info('Received signal: {0}', signal.Signals(signalnum).name)\\n # safely close video stream & writer\\n stream.stop()\\n writer.close()\\n sys.exit(0)\",\n \"def signal_handler(signum, frame):\\n main.CLOSE = True\",\n \"def kill(pid, sig=signal.SIGTERM.value):\\n pid = int(pid)\\n sig = int(sig)\\n proc = psutil.Process(pid)\\n try:\\n proc.send_signal(sig)\\n return True\\n except Exception as e:\\n raise j.exceptions.RuntimeError(\\\"Could not kill process with id %s.\\\\n%s\\\" % (pid, e))\",\n \"async def remote_signal(self, sig):\\n\\n username = self.get_remote_user(self.user.name)\\n k = asyncssh.read_private_key(self.ssh_keyfile.format(username=self.user.name))\\n\\n command = \\\"kill -s %s %d < /dev/null\\\" % (sig, self.pid)\\n\\n async with asyncssh.connect(self.remote_host,username=username,client_keys=[k],known_hosts=None) as conn:\\n result = await conn.run(command)\\n stdout = result.stdout\\n stderr = result.stderr\\n retcode = result.exit_status\\n self.log.debug(\\\"command: {} returned {} --- {} --- {}\\\".format(command, stdout, stderr, retcode))\\n return (retcode == 0)\",\n \"def signal_handler(sig_num, frame):\\n global exit_flag\\n logger.warn('Signal Recieved: {}'.format(str(sig_num)))\\n if sig_num:\\n exit_flag = True\",\n \"def signalProcess(self, processTag=None, event='cancel'):\\r\\n if processTag is None:\\r\\n self.mutex.clear()\\r\\n while not self.asyncQueue.empty():\\r\\n self.asyncQueue.get()\\r\\n self.asyncQueue.task_done()\\r\\n while not self.syncQueue.empty():\\r\\n self.syncQueue.get()\\r\\n self.syncQueue.task_done()\\r\\n toQueue = [PROCESS_MESSAGE, None, None, [], {}, self.processMessage()]\\r\\n for k in range(self.activeWorkers):\\r\\n self.asyncQueue.put(toQueue)\\r\\n return\\r\\n elif processTag not in self.activeList:\\r\\n raise Exception(\\\"%s is not an active process\\\"%processTag)\\r\\n cancel_event, wait_event, outProcessor = self.activeList[processTag]\\r\\n if event == 'cancel':\\r\\n cancel_event.clear()\\r\\n elif event == 'wait':\\r\\n wait_event.clear()\\r\\n args = (PROCESS_PAUSE, processTag,'Proceso pausado')\\r\\n kwargs = {}\\r\\n outProcessor(*args, **kwargs)\\r\\n\\r\\n elif event == 'resume':\\r\\n wait_event.set()\\r\\n args = (PROCESS_PAUSE, processTag, 'Proceso reanudado')\\r\\n kwargs = {}\\r\\n outProcessor(*args, **kwargs)\\r\\n else:\\r\\n cancel_event.clear()\",\n \"def signal_handler(self, signum, frame):\\n if signum == signal.SIGINT:\\n self.terminate = True\\n elif signum == signal.SIGALRM:\\n self.button_handler(self.BUTTON_PIN)\",\n \"def signal_handler(signal_number, stack_frame):\\n if signal_number in [signal.SIGTERM, signal.SIGINT]:\\n terminate_surveillance()\",\n \"def signal_handler(sig, frame):\\n sys.exit(0)\",\n \"def __signalHandler(self, signalNumber, frame):\\n self._loop = False\",\n \"def send_signal(self, dst=\\\"any\\\", tag=None, value=None, src=None):\\n self._signal_pool.signal(src or self.name,dst,tag,value)\",\n \"def _sigint(self, signal, frame):\\n self.disconnect = True\\n if self.cardinal:\\n self.cardinal.quit('Received SIGINT.')\",\n \"def kill(self, signal=None):\\n\\n return self.client.api.kill(self.id, signal=signal)\",\n \"def signal_oi(self):\\n pass\",\n \"def signal_pid(pid, sig):\\n try:\\n os.kill(pid, sig)\\n except OSError:\\n # The process may have died before we could kill it.\\n pass\\n\\n for i in range(5):\\n if not pid_is_alive(pid):\\n return True\\n time.sleep(1)\\n\\n # The process is still alive\\n return False\",\n \"def kill(self, sig):\\r\\n now = time.time()\\r\\n options = self.config.options\\r\\n\\r\\n # Properly stop processes in BACKOFF state.\\r\\n if self.state == ProcessStates.BACKOFF:\\r\\n msg = (\\\"Attempted to kill %s, which is in BACKOFF state.\\\" %\\r\\n (self.config.name))\\r\\n options.logger.debug(msg)\\r\\n self.change_state(ProcessStates.STOPPED)\\r\\n return None\\r\\n\\r\\n if not self.pid:\\r\\n msg = (\\\"attempted to kill %s with sig %s but it wasn't running\\\" %\\r\\n (self.config.name, signame(sig)))\\r\\n options.logger.debug(msg)\\r\\n return msg\\r\\n\\r\\n #If we're in the stopping state, then we've already sent the stop\\r\\n #signal and this is the kill signal\\r\\n if self.state == ProcessStates.STOPPING:\\r\\n killasgroup = self.config.killasgroup\\r\\n else:\\r\\n killasgroup = self.config.stopasgroup\\r\\n\\r\\n as_group = \\\"\\\"\\r\\n if killasgroup:\\r\\n as_group = \\\"process group \\\"\\r\\n\\r\\n options.logger.debug('killing %s (pid %s) %swith signal %s'\\r\\n % (self.config.name,\\r\\n self.pid,\\r\\n as_group,\\r\\n signame(sig))\\r\\n )\\r\\n\\r\\n # RUNNING/STARTING/STOPPING -> STOPPING\\r\\n self.killing = 1\\r\\n self.delay = now + self.config.stopwaitsecs\\r\\n # we will already be in the STOPPING state if we're doing a\\r\\n # SIGKILL as a result of overrunning stopwaitsecs\\r\\n self._assertInState(ProcessStates.RUNNING,ProcessStates.STARTING,\\r\\n ProcessStates.STOPPING)\\r\\n self.change_state(ProcessStates.STOPPING)\\r\\n\\r\\n pid = self.pid\\r\\n if killasgroup:\\r\\n # send to the whole process group instead\\r\\n pid = -self.pid\\r\\n\\r\\n try:\\r\\n options.kill(pid, sig)\\r\\n except:\\r\\n io = StringIO()\\r\\n traceback.print_exc(file=io)\\r\\n tb = io.getvalue()\\r\\n msg = 'unknown problem killing %s (%s):%s' % (self.config.name,\\r\\n self.pid, tb)\\r\\n options.logger.critical(msg)\\r\\n self.change_state(ProcessStates.UNKNOWN)\\r\\n self.pid = 0\\r\\n self.killing = 0\\r\\n self.delay = 0\\r\\n return msg\\r\\n\\r\\n return None\",\n \"def handler(signum, frame):\\n logging.warning(\\\"Got a {} signal. Doing nothing\\\".format(signum))\",\n \"def _on_parent_process_kill(self):\",\n \"def send(self, signal, msg=\\\"\\\"):\\n self.transport.write(str(str(signal) + msg).encode())\",\n \"def restart_worker_sig_handler(signum, frame):\\n worker.logger.warn(\\\"Restarting celeryd (%s)\\\" % (\\n \\\" \\\".join(sys.argv)))\\n worker.stop()\\n os.execv(sys.executable, [sys.executable] + sys.argv)\",\n \"def signalAll(self, signal, startswithname=None):\\n for name in self.processes.keys():\\n if startswithname is None or name.startswith(startswithname):\\n self.signalProcess(signal, name)\",\n \"def kill(self):\\n self._stop_proc(signal.SIGKILL)\",\n \"def signal_handler(self, signal, frame):\\r\\n print 'You pressed Ctrl+C!'\\r\\n sys.exit(0)\",\n \"def signal_handler(signal, frame):\\n sys.exit(0)\",\n \"def signal_handler(signal, frame):\\n sys.exit(0)\",\n \"def signal_handler(signal, frame):\\n sys.exit(0)\",\n \"def kill_all_processes(self, signal=signal.SIGINT) -> None:\\n for task_name, sp in self.process_queue:\\n sp.send_signal(signal)\",\n \"def kill(name, signal=9, exact=False):\\n for pid in find(name, exact):\\n run(\\\"kill -s {0} {1}\\\".format(signal, pid))\",\n \"def stop(self, signal):\\n pass\",\n \"def stop(self, signal):\\n pass\",\n \"def send(signal, sender=dispatcher.Anonymous, *args, **kwargs):\\n logger.debug('Sending {} from {}'.format(signal, sender))\\n return dispatcher.send(signal, sender, *args, **kwargs)\",\n \"def _send_signal(\\n self,\\n signal : daemoniker.DaemonikerSignal,\\n timeout : Optional[Union[float, int]] = 3,\\n check_timeout_interval : float = 0.1,\\n ):\\n import time\\n daemoniker = attempt_import('daemoniker')\\n\\n try:\\n daemoniker.send(str(self.pid_path), daemoniker.SIGINT)\\n except Exception as e:\\n return False, str(e)\\n if timeout is None:\\n return True, f\\\"Successfully sent '{signal}' to daemon '{self.daemon_id}'.\\\"\\n begin = time.time()\\n while (time.time() - begin) < timeout:\\n if not self.pid_path.exists():\\n return True, f\\\"Successfully stopped daemon '{self.daemon_id}'.\\\"\\n time.sleep(check_timeout_interval)\\n return False, (\\n f\\\"Failed to stop daemon '{self.daemon_id}' within {timeout} second\\\"\\n + ('s' if timeout != 1 else '') + '.'\\n )\",\n \"def set_signal(self):\\n eprint(\\\"Signal caught, ending log...\\\")\\n self.log_sig = True\",\n \"def signal_handler(signal, frame):\\n\\n process_id = multiprocessing.current_process().name\\n if process_id == 'child':\\n return\\n logger = logging.getlogger('signal_handler')\\n logger.info('ctrl-c received.')\\n logger.info('telling pipeline to shutdown')\\n global pipeline\\n pipeline.shutdown()\",\n \"def siginterrupt(sig, flag): # real signature unknown; restored from __doc__\\n pass\",\n \"def term_mp(sig_num, frame):\\n pid = os.getpid()\\n pgid = os.getpgid(os.getpid())\\n logger.info(\\\"main proc {} exit, kill process group \\\"\\n \\\"{}\\\".format(pid, pgid))\\n os.killpg(pgid, signal.SIGKILL)\",\n \"def signal_handler(*args):\\n if station:\\n station.shutdown()\",\n \"def Kill(self, sig, log_level, first=False):\\n self._killing.set()\\n self._WaitForStartup()\\n if logging.getLogger().isEnabledFor(log_level):\\n # Dump debug information about the hanging process.\\n logging.log(log_level, 'Killing %r (sig=%r %s)', self.pid, sig,\\n signals.StrSignal(sig))\\n\\n if first:\\n ppid = str(self.pid)\\n output = self._DebugRunCommand(\\n ('pgrep', '-P', ppid), debug_level=log_level, print_cmd=False,\\n error_code_ok=True, capture_output=True)\\n for pid in [ppid] + output.splitlines():\\n self._DumpDebugPid(log_level, pid)\\n\\n try:\\n os.kill(self.pid, sig)\\n except OSError as ex:\\n if ex.errno != errno.ESRCH:\\n raise\",\n \"def sigtrace_handler(sig,ign):\\n global SIGNALS\\n print(\\\"received SIG%s: %s\\\"%(SIGNALS[sig],process_infos(\\\"???\\\")),file=sys.stderr)\\n if sig == 2:\\n # Python has a special handler for SIGINT that generates\\n # a KeyboardInterrupt exception\\n signal.signal(sig,signal.default_int_handler)\\n elif sig == signal.SIGCONT:\\n # When the process restarts after being stopped we re-install\\n # tracing handler on Ctrl-Z and TTIN/TTOUT signals so it is\\n # possible to play with job control\\n signal.signal(signal.SIGTSTP,sigtrace_handler)\\n signal.signal(signal.SIGTTOU,sigtrace_handler)\\n signal.signal(signal.SIGTTIN,sigtrace_handler)\\n else:\\n # Once a signal has been received we reinstall the default\\n # handler before self-resending the signal\\n signal.signal(sig,signal.SIG_DFL)\\n # All signal received but SIGCONT are self-resent after being received\\n if sig != signal.SIGCONT:\\n os.kill(os.getpid(),sig)\",\n \"def _on_event(self, event) -> None:\\n self.signal.emit(event)\",\n \"def signal_handler(signum, frame):\\n monitor.stop()\\n sys.exit(0)\",\n \"def kill(self):\\n\\n self.proc.kill()\",\n \"def try_kill(pid, sig):\\n try:\\n os.kill(int(pid), sig)\\n except OSError:\\n pass\",\n \"def requeueHandler(self, signum, frame):\\n args = self.args\\n print('Signal received', signum, time.time(), flush=True)\\n self.SIGNAL_RECEIVED = True\\n\\n if os.path.isfile(self.HALT_filename):\\n print('Job is done, exiting', flush=True)\\n exit(0)\",\n \"def signal_handler(signal_received, frame):\\n\\n sys.stdout.write('\\\\n')\\n sys.exit(0)\",\n \"def handle_signal(sig, frame):\\n IOLoop.instance().add_callback(IOLoop.instance().stop)\",\n \"def sigint_handler(signal, frame):\\n rclpy.shutdown()\\n if prev_sigint_handler is not None:\\n prev_sigint_handler(signal)\",\n \"def signal_ready(self):\\n self._container.kill(signal.SIGUSR1)\",\n \"def register_signal_handler(self):\\n signal.signal(signal.SIGINT, self.quit_gracefully)\\n signal.signal(signal.SIGTERM, self.quit_gracefully)\\n return\",\n \"def shutdownSignal(signum, frame):\\n LOG.warning(\\\"shutting down, got signal %d\\\", signum)\\n shutdown()\",\n \"def _kill_self():\\n os.kill(os.getpid(), signal.SIGKILL)\",\n \"def process_signal(self, src, tag, value):\\n pass\",\n \"def signal_handler(signal, frame):\\n print(chr(27) + \\\"[2J\\\")\\n sys.exit(0)\",\n \"def signal(signal=None):\\n no_extra_args = (\\\"configtest\\\", \\\"status\\\", \\\"fullstatus\\\")\\n valid_signals = (\\\"start\\\", \\\"stop\\\", \\\"restart\\\", \\\"graceful\\\", \\\"graceful-stop\\\")\\n\\n if signal not in valid_signals and signal not in no_extra_args:\\n return\\n # Make sure you use the right arguments\\n if signal in valid_signals:\\n arguments = \\\" -k {}\\\".format(signal)\\n else:\\n arguments = \\\" {}\\\".format(signal)\\n cmd = _detect_os() + arguments\\n out = __salt__[\\\"cmd.run_all\\\"](cmd)\\n\\n # A non-zero return code means fail\\n if out[\\\"retcode\\\"] and out[\\\"stderr\\\"]:\\n ret = out[\\\"stderr\\\"].strip()\\n # 'apachectl configtest' returns 'Syntax OK' to stderr\\n elif out[\\\"stderr\\\"]:\\n ret = out[\\\"stderr\\\"].strip()\\n elif out[\\\"stdout\\\"]:\\n ret = out[\\\"stdout\\\"].strip()\\n # No output for something like: apachectl graceful\\n else:\\n ret = 'Command: \\\"{}\\\" completed successfully!'.format(cmd)\\n return ret\",\n \"def kill(self):\\n if self.transport.pid is not None:\\n self.transport.signalProcess('KILL')\",\n \"def _send_kernel_sigterm(self, restart: bool = False):\",\n \"def signal_kernel(self, signum):\\n pass\",\n \"def remote_kill():\",\n \"def _terminate(self):\\n\\n stopsignal = self.stopsignal\\n\\n log.info('Stop Process Requested')\\n self._terminating = True\\n if self._p0:\\n log.info('Sending signal %s to process %s' % (stopsignal, self._p0.pid))\\n kill_tree(self._p0.pid, stopsignal)\\n elif self._p0 is None:\\n raise errors.ChalmersError(\\\"This process did not start this program, can not call _terminate\\\")\",\n \"def trigger_signal(self, signal: str) -> None:\\n logger.debug(\\\"Triggered Signal %s\\\", signal)\\n for handler in self.signals[signal]:\\n if not iscoroutinefunction(handler):\\n handler(self, signal)\",\n \"def signal_handler(signal, frame): \\n import signal\\n import sys\\n from time import localtime, strftime\\n time = strftime(\\\"%H:%M:%S\\\", localtime())\\n sel = raw_input('\\\\n\\\\n%s: Paused. Press return to resume, or type exit to quit: \\\\n' % time)\\n if sel.startswith('e') or sel.startswith('E'):\\n sys.exit(0)\\n else:\\n time = strftime(\\\"%H:%M:%S\\\", localtime())\\n print '%s: Interrogation resumed.\\\\n' % time\",\n \"def kill(self, signum, frame):\\n self.delete()\\n os.kill(os.getpid(), signum)\",\n \"def signal_handler(signum, frame):\\n self.log.error(\\\"Received SIGTERM. Terminating subprocesses\\\")\\n self.task_runner.terminate()\\n self.handle_task_exit(128 + signum)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.83821654","0.82537395","0.78793293","0.7300469","0.7116897","0.7112409","0.7100441","0.7099212","0.68905115","0.6861185","0.6853869","0.68038225","0.67226195","0.6577294","0.65427446","0.65303904","0.6520947","0.64594877","0.6416063","0.6404712","0.6392736","0.6364421","0.63409144","0.63300043","0.63141257","0.6277827","0.6277251","0.62402284","0.62154114","0.62071717","0.6193959","0.6121365","0.611319","0.61062926","0.60988635","0.60839367","0.6076719","0.60598505","0.60475475","0.6026432","0.602507","0.6007628","0.59988976","0.5996111","0.5970812","0.5970638","0.59554684","0.59505063","0.5934748","0.5928679","0.5918275","0.5911693","0.5889584","0.5871705","0.58663654","0.58578956","0.5856859","0.58506244","0.5849709","0.584507","0.58415157","0.58415157","0.58415157","0.5830738","0.5823205","0.5803624","0.5803624","0.5795123","0.579459","0.57847315","0.5778715","0.5771168","0.5764006","0.57623404","0.57548654","0.5753262","0.57357234","0.5733585","0.57324994","0.5728182","0.57277614","0.57259744","0.57198834","0.57134295","0.57078564","0.5704503","0.56983376","0.5690706","0.56760305","0.5664787","0.565714","0.5644327","0.56311524","0.5617244","0.56076384","0.55979466","0.5582453","0.5578827","0.55751824","0.5567608"],"string":"[\n \"0.83821654\",\n \"0.82537395\",\n \"0.78793293\",\n \"0.7300469\",\n \"0.7116897\",\n \"0.7112409\",\n \"0.7100441\",\n \"0.7099212\",\n \"0.68905115\",\n \"0.6861185\",\n \"0.6853869\",\n \"0.68038225\",\n \"0.67226195\",\n \"0.6577294\",\n \"0.65427446\",\n \"0.65303904\",\n \"0.6520947\",\n \"0.64594877\",\n \"0.6416063\",\n \"0.6404712\",\n \"0.6392736\",\n \"0.6364421\",\n \"0.63409144\",\n \"0.63300043\",\n \"0.63141257\",\n \"0.6277827\",\n \"0.6277251\",\n \"0.62402284\",\n \"0.62154114\",\n \"0.62071717\",\n \"0.6193959\",\n \"0.6121365\",\n \"0.611319\",\n \"0.61062926\",\n \"0.60988635\",\n \"0.60839367\",\n \"0.6076719\",\n \"0.60598505\",\n \"0.60475475\",\n \"0.6026432\",\n \"0.602507\",\n \"0.6007628\",\n \"0.59988976\",\n \"0.5996111\",\n \"0.5970812\",\n \"0.5970638\",\n \"0.59554684\",\n \"0.59505063\",\n \"0.5934748\",\n \"0.5928679\",\n \"0.5918275\",\n \"0.5911693\",\n \"0.5889584\",\n \"0.5871705\",\n \"0.58663654\",\n \"0.58578956\",\n \"0.5856859\",\n \"0.58506244\",\n \"0.5849709\",\n \"0.584507\",\n \"0.58415157\",\n \"0.58415157\",\n \"0.58415157\",\n \"0.5830738\",\n \"0.5823205\",\n \"0.5803624\",\n \"0.5803624\",\n \"0.5795123\",\n \"0.579459\",\n \"0.57847315\",\n \"0.5778715\",\n \"0.5771168\",\n \"0.5764006\",\n \"0.57623404\",\n \"0.57548654\",\n \"0.5753262\",\n \"0.57357234\",\n \"0.5733585\",\n \"0.57324994\",\n \"0.5728182\",\n \"0.57277614\",\n \"0.57259744\",\n \"0.57198834\",\n \"0.57134295\",\n \"0.57078564\",\n \"0.5704503\",\n \"0.56983376\",\n \"0.5690706\",\n \"0.56760305\",\n \"0.5664787\",\n \"0.565714\",\n \"0.5644327\",\n \"0.56311524\",\n \"0.5617244\",\n \"0.56076384\",\n \"0.55979466\",\n \"0.5582453\",\n \"0.5578827\",\n \"0.55751824\",\n \"0.5567608\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7512397"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":4789,"cells":{"query":{"kind":"string","value":"update self boexes with new frame's boxes"},"document":{"kind":"string","value":"def update(self, new_boxes):\n if len(self.lengths) > self.n_frames:\n # delete oldest if exceed capacity\n del self.boxes[0:self.lengths[0]]\n del self.lengths[0]\n self.lengths.append(len(new_boxes))\n self.boxes.extend(new_boxes)"},"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 changement_frame(self):\n\n for widget in self.fenetre_scores.winfo_children():\n widget.pack_forget()\n\n for widget in self.fenetre_regles.winfo_children():\n widget.pack_forget()\n\n for widget in self.frame_jeu.winfo_children():\n widget.pack_forget()\n\n for widget in self.winfo_children():\n if widget != self.titre:\n widget.pack_forget()","def Define_Frame(self):\n self.frame=Frame(self.master, relief=GROOVE, bd=4)\n self.frame.grid(row=0,column=1,rowspan=2,columnspan=2)\n frame_title = Label(self.frame,text=\"Stage Control\",relief=RAISED,bd=2,width=24, bg=\"light yellow\",font=(\"Times\", 16))\n frame_title.grid(row=0, column=1)\n self.encoder_text = [] # These hold the stage position as read by the encoders\n self.coo_ent = [] # These hold the coordinate entry values\n but = []\n encoder_display = []\n for i in range(3):\n self.coo_ent.append(Entry(self.frame, justify=\"center\", width=12))\n but.append(Button(self.frame, text=\"Move %s (relative)\"%self.POS_NAME[i], width=12,command=lambda axis=i:self.GUI_move(axis)))\n self.encoder_text.append(StringVar())\n encoder_display.append(Label(self.frame,textvariable=self.encoder_text[i],relief=SUNKEN,bd=1, width=20))\n self.coo_ent[i].grid(row=i+1,column=0)\n self.coo_ent[i].focus_set()\n but[i].grid(row=i+1,column=1)\n encoder_display[i].grid(row=i+1,column=2)\n self.encoder_text[i].set(\"%8s microns\"%str(self.read_pos[i]))\n zero_encoders_button = Button(self.frame, text=\"Re-Initialize Encoders\", width=20, command=self.GUI_ReInitialize_Encoders)\n zero_encoders_button.grid(row=5,column=1)\n return","def setUpFrame(self):\n #adds labels to the Board\n self.mineLabel = tk.Label(self, text=\"Mines: \"+str(self.numMines))\n self.mineLabel.grid(row=0, column=0, sticky=\"W\", columnspan=int((self.cols-2)/2))\n self.smileButton = tk.Label(self, image=self.images[1])\n self.smileButton.grid(row=0, column=int((self.cols-2)/2), sticky=\"WE\", columnspan=2)\n self.flagLabel = tk.Label(self, text=\"Flags: \"+str(self.numFlags))\n self.flagLabel.grid(row=0, column=int((self.cols-2)/2)+2, sticky=\"E\", columnspan=int((self.cols-1)/2))\n\n #left click listeners on smileButton\n self.smileButton.bind('<ButtonPress-1>', lambda event, num=0: self.changeSmile(num))\n self.smileButton.bind('<ButtonRelease-1>', self.replay)","def createFrame(self):\n \n self.outerFrame = f = Tk.Frame(self.frame)\n f.pack(expand=1,fill=\"both\")\n \n if self.label:\n labf = Tk.Frame(f)\n labf.pack(pady=2)\n lab = Tk.Label(labf,text=self.label)\n lab.pack()\n \n f2 = Tk.Frame(f)\n f2.pack(expand=1,fill=\"both\")\n \n self.box = box = Tk.Listbox(f2,height=20,width=30)\n box.pack(side=\"left\",expand=1,fill=\"both\")\n \n bar = Tk.Scrollbar(f2)\n bar.pack(side=\"left\", fill=\"y\")\n \n bar.config(command=box.yview)\n box.config(yscrollcommand=bar.set)","def updatemaxbombs(self):\n tiles: int = int(self.widthbox.get()) * int(self.heightbox.get())\n self.bombsbox.configure(to=tiles/2)","def _set_boxes(self, listOfBoxes):\n self._boxes = listOfBoxes","def extra_frame(self):\n\n self.extraframe = tk.Frame(self.extra_notebook, bg='white')\n self.extraframe.pack(anchor='center', expand=True, fill='y')\n # RoHS checker\n self.rohsframe = tk.Frame(self.extraframe, bg='#7093db')\n self.rohsframe.pack(pady=10, fill='x', expand=True)\n rohs = DoubleTextButton(self.rohsframe,\n text_main='RoHS Bill of Materials Comparison',\n text_sub='Output a delta report between two BOMS',\n command=lambda: self.raiseframe_extra(ROHSCompare))\n rohs.pack(fill='x', expand=True, side='right', padx=(4, 0))\n # Format Checker\n self.filterframe = tk.Frame(self.extraframe, bg='#7093db')\n self.filterframe.pack(pady=10, fill='x', expand=True)\n filtercheck = DoubleTextButton(self.filterframe,\n text_main='Format Checker',\n text_sub='Will output filtered CCL to check CCL format',\n command=lambda: self.raiseframe_extra(FilterCompare))\n filtercheck.pack(fill='x', expand=True, side='right', padx=(4, 0))\n # Illustration tool\n self.illtoolframe = tk.Frame(self.extraframe, bg='#7093db')\n self.illtoolframe.pack(pady=10, fill='x', expand=True)\n illustration_tool = DoubleTextButton(self.illtoolframe,\n text_main='Illustration Tool',\n text_sub='Used to insert and delete illustrations',\n command=lambda: self.raiseframe_extra(InsertDelIllustration))\n illustration_tool.pack(fill='x', expand=True, side='right', padx=(4, 0))","def fillbox(self,event=None):\n \n pass","def build_frames(self):\n self.cntrl_frame = tk.PanedWindow(self.root)\n self.cntrl_frame.pack(side = tk.TOP, padx = 1, pady = 1, fill = tk.Y)\n self.info_frame_1 = tk.PanedWindow(self.root)\n self.info_frame_1.pack(side = tk.TOP, padx = 1, pady = 2, fill = tk.Y)","def _bbox_updated(self):\n self.updated = True","def updateFootprintBbox(self):\n # Pull out the image bounds of the parent Footprint\n self.bb = self.fp.getBBox()\n if not self.imbb.contains(self.bb):\n raise ValueError(('Footprint bounding-box %s extends outside image bounding-box %s') %\n (str(self.bb), str(self.imbb)))\n self.W, self.H = self.bb.getWidth(), self.bb.getHeight()\n self.x0, self.y0 = self.bb.getMinX(), self.bb.getMinY()\n self.x1, self.y1 = self.bb.getMaxX(), self.bb.getMaxY()","def update(self):\n self.active = False\n self.top.update(self.rgb,self.cmyk,self.hsv)\n self.bot.update(self.rgb,self.cmyk,self.hsv)\n self.active = True","def refreshActiveFrames(self, event=None):\n self.unloadAllFrames()\n self.checkFramesHaveData()\n\n try:\n self.contentFrame.currFrame.built = False\n except AttributeError:\n pass\n\n try:\n if self.contentFrame.currFrame.hasRequiredData():\n self.contentFrame.currFrame.enter()\n else:\n self.frameBtnCmds[0](self)\n except AttributeError:\n self.frameBtnCmds[0](self)","def load(self):\n # Frame\n self.frame.grid_configure(row=1, column=1, padx=(PAD, PAD+TINY_PAD), pady=(0, PAD+CANVAS_PAD), sticky=tk.N+tk.S)\n self.frame.rowconfigure(1, weight=1)\n self.frame.rowconfigure(3, weight=1)\n # Across label\n self.across_label.config(text=\"Across\", anchor=tk.W, **settings.get(\"style:clue\"))\n self.across_label.grid(row=0, column=0, pady=(0, TINY_PAD), sticky=tk.N+tk.W)\n # Across frame\n self.across_frame.config(highlightthickness=1, highlightbackground=settings.get(\"style:border:fill\"))\n self.across_frame.grid(row=1, pady=(CANVAS_PAD, PAD), sticky=tk.N+tk.S)\n self.across_frame.rowconfigure(0, weight=1)\n # Across listbox\n self.across_listbox.config(bd=0, selectborderwidth=0, activestyle=tk.NONE, **settings.get(\"style:list\"))\n self.across_listbox.grid(row=0, column=0, sticky=tk.N+tk.S)\n self.across_listbox.config(yscrollcommand=self.across_scrollbar.set)\n # Across scrollbar\n self.across_scrollbar.config(command=self.across_listbox.yview)\n self.across_scrollbar.grid(row=0, column=1, sticky=tk.N+tk.S)\n # Down label\n self.down_label.config(text=\"Down\", anchor=tk.W, **settings.get(\"style:clue\"))\n self.down_label.grid(row=2, column=0, pady=(PAD, 0), sticky=tk.N+tk.W)\n # Down frame\n self.down_frame.config(highlightthickness=1, highlightbackground=settings.get(\"style:border:fill\"))\n self.down_frame.grid(row=3, pady=(TINY_PAD, 0), sticky=tk.N+tk.S)\n self.down_frame.rowconfigure(0, weight=1)\n # Down listbox\n self.down_listbox.config(bd=0, selectborderwidth=0, activestyle=tk.NONE, **settings.get(\"style:list\"))\n self.down_listbox.grid(row=0, column=0, sticky=tk.N+tk.S)\n self.down_listbox.config(yscrollcommand=self.down_scrollbar.set)\n # Down scrollbar\n self.down_scrollbar.config(command=self.down_listbox.yview)\n self.down_scrollbar.grid(row=0, column=1, sticky=tk.N+tk.S)","def create_frames(self):\n self.list_frame = Frame(self.master)\n self.list_frame.grid(row=0, column=0)\n\n self.volume_frame = VolumeFrame(master=self.master, text=\"Volume\")\n self.volume_frame.grid(row=0, column=2, rowspan=2)\n\n self.btn_frame = Frame(self.master)\n self.btn_frame.grid(row=1, column=0, padx=20)\n\n self.listbox = Listbox(self.list_frame, bg='black', fg='green', selectbackground='gray', selectforeground='black', selectmode=EXTENDED, width=48)\n self.listbox.pack(fill=X, padx=20, pady=(20, 0))\n self.slider = ttk.Scale(self.list_frame, value=0, from_=0, to=100, orient=HORIZONTAL, command=self.slide)\n self.slider.pack(fill=X, padx=20)\n\n # setting images\n global img_1, img_2, img_3, img_4, img_5\n img_1 = ImageConverter.create_image(f'img/next.png', 40, 180)\n img_2 = ImageConverter.create_image(f'img/play.png', 40, 0)\n img_3 = ImageConverter.create_image(f'img/pause.png', 40, 0)\n img_4 = ImageConverter.create_image(f'img/stop.png', 40, 0)\n img_5 = ImageConverter.create_image(f'img/next.png', 40, 0)\n\n images = [{\"file\": img_1, \"command\": self.previous},\n {\"file\": img_2, \"command\": self.play},\n {\"file\": img_3, \"command\": self.pause},\n {\"file\": img_4, \"command\": self.stop},\n {\"file\": img_5, \"command\": self.next}]\n\n for index, image in enumerate(images):\n self.btn = Button(self.btn_frame, image=image[\"file\"], command=image[\"command\"], relief=FLAT)\n self.btn.grid(row=0, column=index, sticky=N+S+E+W, padx=8)\n\n self.info_frame = Frame(self.master)\n self.info_frame.grid(row=2, column=0, sticky=S)\n self.info_label = Label(self.info_frame, text=\"\", relief=SUNKEN, anchor=E, width=48)\n self.info_label.pack(fill=X)","def update_window(self, window, frame):\n self.draw_eyes()\n self.show(window, frame)\n self.new_frame()","def __init__(self, box):\n self.is_hidden = False\n self.last_boxes = []\n self.best_box = None\n self.frames_undetected = 0\n self.age = 0\n self.n_frames = 10\n\n self.update(box)","def __update(self):\n for b in self.__borders:\n b.redraw()\n\n for w in self.__allWins:\n w.refresh()","def updateBlobs(self):\n with signalsBlocked(self.param):\n # with signalsBlocked(self.param):\n inputs = self.inputs()\n self.bottoms.setValue([i.name() for i in inputs.values()], clear=True)\n outputs = self.outputs()\n self.tops.setValue([o.name() for o in outputs.values()], clear=True)\n self.updateProto()","def _create_left_summary_frame(self):\n self.frames.append(tk.Frame(self.master))\n self.frames[6].grid(column=0, row=2, sticky=\"ew\")\n self.getall_button = (tk.Button(self.frames[6],\n text=\"All Indiv stats\"))\n self.getall_button.grid(column=0, row=0, sticky=\"nesw\")\n self.go_button = (tk.Button(self.frames[6], text=\"Team Stats\"))\n self.go_button.grid(column=1, row=0, sticky=\"nesw\")\n self.frames[6].columnconfigure(0, weight=1)\n self.frames[6].columnconfigure(1, weight=1)","def UpdateFrame(self, sender=None, args=None):\n # Update label for sensor: s['label']\n # with the most recent measurement: s().data['data'][-1]\n for s in self.sensors:\n self.gValue[s.GetID()].SetLabel( '{num} {unit}'.format(\n num = s().data['data'][-1],\n unit = str(s['unit'])) )\n try:\n pub.sendMessage( 'Plot.%s' %self.GetLabel() )\n except:\n self.plot_deleted = True\n\n \n self.top_sizer.Layout()","def update(self):\n left_height = self.left.height if self.left else -1\n right_height = self.right.height if self.right else -1\n self.height = 1 + max(left_height, right_height)\n self.bf = right_height - left_height","def _initialize_widgets(self):\n self.outer_board = [[Frame(self.root, bd = self.FRAME_BORDER_WIDTH, \n relief = self.FRAME_RELIEF) \n for _ in range(self.BOARD_DIM)] \n for _ in range(self.BOARD_DIM)]\n self.inner_boards = [[self._generate_inner_board(r, c) \n for c in range(self.BOARD_DIM)]\n for r in range(self.BOARD_DIM)]","def _refresh_screen(self):\n self.myscreen.refresh()\n self.box1.refresh()\n self.box2.refresh()","def update_bbox(self): \r\n \r\n centX, centY = self.center\r\n\r\n brush_thickness = self.brush[0]\r\n\r\n margin = self.__size + brush_thickness + BOUNDARY_MARGIN\r\n\r\n self.bbox = [int(centX - margin), int(centY - margin),\r\n int(centX + margin), int(centY + margin)]","def update_(self):\n self.update_listbox()\n self.update_infobox()\n self.update_statusbar()\n self.listbox.select_set(0)\n self.listbox.focus_set()","def main():\n global fenetre, gr_grid,grid, chaine, var1, var2\n fenetre = Frame()\n \n fenetre.grid()\n fenetre.master.title('2048')\n var1= StringVar()\n var2= StringVar()\n Checkbutton(fenetre, text=\"Entier\", width= 11, variable= var1, onvalue='oui', offvalue='non').grid(row=1, sticky=E)\n Checkbutton(fenetre, text=\"Chimie\", width= 10, variable= var2, onvalue='oui', offvalue='non').grid(row=1, sticky=W)\n \n but1=Button(fenetre, text='Load', width= 11, command=grid_load1)\n but1.grid(row= 2, sticky= W)\n but2=Button(fenetre, text='Save', width= 11, command=grid_save1)\n but2.grid(row=2, sticky= E)\n fenetre.master.bind(\"<Key>\", key_pressed)\n background = Frame(fenetre, bg = GAME_BG,\n width=GAME_SIZE, height=GAME_SIZE)\n background.grid()\n chaine= Label(fenetre)\n chaine.grid()\n gr_grid = []\n for i in range(4):\n gr_line = []\n for j in range(4):\n cell = Frame(background, bg = TILE_EMPTY_BG,\n width = TILES_SIZE, height = TILES_SIZE)\n cell.grid(row=i, column=j,padx=1, pady=1)\n t = Label(master = cell, text = \"\", bg = TILE_EMPTY_BG,\n justify = CENTER, font = TILES_FONT,\n width=4, height=2)\n t.grid()\n gr_line.append(t)\n gr_grid.append(gr_line)\n grid = grid_init()\n grid_display(grid)\n fenetre.mainloop()","def createFrame(self):\n \n tkinterListBoxDialog.createFrame(self)\n self.addFrameButtons()","def refresh(self):\n\t\tself.win.refresh()\n\t\tfor c in self.components:\n\t\t\tc.refresh()","def create_status_robot_frame(self):\n\n self.Robot_Status_Frame = tk.Frame(master=self)\n self.Robot_Status_Frame.config(highlightthickness=1, highlightcolor=\"black\", highlightbackground=\"black\")\n self.Robot_Status_Frame.pack(side = tk.LEFT, padx = 20, pady = 10, fill = tk.BOTH)\n\n status_lbl = tk.Label(master = self.Robot_Status_Frame, text = \"ROBOT STATUS\", width = 15)\n status_lbl.pack(side = tk.TOP) \n\n self.lbl_pose_x = tk.StringVar()\n self.lbl_pose_y = tk.StringVar()\n self.lbl_angle = tk.StringVar()\n self.lbl_status = tk.StringVar()\n self.lbl_goto_x = tk.StringVar()\n self.lbl_goto_y = tk.StringVar()\n\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \"X: \", label_target = self.lbl_pose_x)\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \"Y: \", label_target = self.lbl_pose_y)\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \"Angle: \", label_target = self.lbl_angle)\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \"Status: \", label_target = self.lbl_status)\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \"\", label_target = None)\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \"next GOTO X: \", label_target = self.lbl_goto_x)\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \"next GOTO Y: \", label_target = self.lbl_goto_y)\n\n\n self.lbl_pose_x.set(\"N/A\")\n self.lbl_pose_y.set(\"N/A\")\n self.lbl_angle.set(\"N/A\")\n self.lbl_status.set(\"N/A\")\n self.lbl_goto_x.set(\"N/A\")\n self.lbl_goto_y.set(\"N/A\")","def onFrameUpdated(self):\n pass","def build_frames(dialbox):\n #Buttons Frame\n dialbox.button_frame = tk.Frame(dialbox.master_frame)\n dialbox.button_frame.grid(row=3, column=1)\n #Output Frame\n dialbox.output_frame = tk.Frame(dialbox.master_frame)\n dialbox.output_frame.grid(row=4, column=0, columnspan=2)","def updateButtons(self):\n self.cboxes = [] # List of check boxes\n self.tboxes = [] # Corresponding list of text boxes\n for r in range(self.nclasses):\n c = 0\n # print('**', self.clusters[r])\n tbox = QLineEdit(self.clusters[r])\n tbox.setMinimumWidth(80)\n tbox.setMaximumHeight(150)\n tbox.setStyleSheet(\"border: none;\")\n tbox.setAlignment(Qt.AlignCenter)\n tbox.textChanged.connect(self.updateClusterNames)\n self.tboxes.append(tbox)\n self.flowLayout.addWidget(self.tboxes[-1], r, c)\n c += 1\n cbox = QCheckBox(\"\")\n cbox.clicked.connect(self.selectAll)\n self.cboxes.append(cbox)\n self.flowLayout.addWidget(self.cboxes[-1], r, c)\n c += 1\n # Find the segments under this class and show them\n for segix in range(len(self.segments)):\n if self.segments[segix][-1] == r:\n self.flowLayout.addWidget(self.picbuttons[segix], r, c)\n c += 1\n self.picbuttons[segix].show()\n self.flowLayout.adjustSize()\n self.flowLayout.update()\n self.setColourLevels()","def update(self):\n self.rect = (self.x, self.y, self.width, self.height)","def build_boxes(self):\n for index in self.box_space.points:\n if self.rank_of_box[index] == self.my_rank:\n self.my_boxes.append(Box(self, index))","def update_selection(self):\n\n # clear all boxes\n self.clear_boxes()\n self.draw_figure(self.s)\n\n # update temperature list\n if self.Data[self.s]['T_or_MW'] == \"T\":\n self.temperatures = np.array(self.Data[self.s]['t_Arai']) - 273.\n else:\n self.temperatures = np.array(self.Data[self.s]['t_Arai'])\n\n self.T_list = [\"%.0f\" % T for T in self.temperatures]\n self.tmin_box.SetItems(self.T_list)\n self.tmax_box.SetItems(self.T_list)\n self.tmin_box.SetValue(\"\")\n self.tmax_box.SetValue(\"\")\n self.Blab_window.SetValue(\n \"%.0f\" % (float(self.Data[self.s]['pars']['lab_dc_field']) * 1e6))\n if \"saved\" in self.Data[self.s]['pars']:\n self.pars = self.Data[self.s]['pars']\n self.update_GUI_with_new_interpretation()\n self.Add_text(self.s)\n self.write_sample_box()","def addFrameButtons (self):\n \n self.buttonFrame = f = Tk.Frame(self.outerFrame)\n f.pack()\n \n row1 = Tk.Frame(f)\n row1.pack()\n \n # Create the back and forward buttons, cloning the images & commands of the already existing buttons.\n image = self.lt_nav_iconFrame_button.cget(\"image\")\n command = self.lt_nav_iconFrame_button.cget(\"command\")\n \n self.lt_nav_button = b = Tk.Button(row1,image=image,command=command)\n b.pack(side=\"left\",pady=2,padx=5)\n \n image = self.rt_nav_iconFrame_button.cget(\"image\")\n command = self.rt_nav_iconFrame_button.cget(\"command\")\n \n self.rt_nav_button = b = Tk.Button(row1,image=image,command=command)\n b.pack(side=\"left\",pady=2,padx=5)\n \n row2 = Tk.Frame(f)\n row2.pack()\n self.addStdButtons(row2)\n \n row3 = Tk.Frame(f)\n row3.pack()\n \n self.clear_button = b = Tk.Button(row3,text=\"Clear All\",\n width=6,command=self.clearAll)\n b.pack(side=\"left\",pady=2,padx=5)\n \n self.delete_button = b = Tk.Button(row3,text=\"Delete\",\n width=6,command=self.deleteEntry)\n b.pack(side=\"left\",pady=2,padx=5)","def updateBox(self):\n for k in vars(self.ml_classifier_cls):\n if (not k.startswith('__')) and k != 'status' and k != 'model':\n value = getattr(self.ml_classifier_cls, k)\n self.parameters[k] = value\n\n rows = [widgets.HTML(value='<h3>Configure your backend machine learning model</h3>'\n '<p>If you are not sure what the parameters are, just leave them as they are.</p>'\n '<p>There are <b>' + str(\n self.leftover) + '</b> samples left unreviewed. The ML model will retrain at a pace '\n 'of once per <b>' + str(self.learning_pace) + '</b> samples.')]\n for name, value in self.parameters.items():\n if type(value) == int:\n self.parameter_inputs[name] = widgets.BoundedIntText(description=name, value=value, min=-1)\n rows.append(self.parameter_inputs[name])\n elif type(value) == float:\n self.parameter_inputs[name] = widgets.BoundedFloatText(description=name, value=value)\n rows.append(self.parameter_inputs[name])\n elif type(value) == str:\n self.parameter_inputs[name] = widgets.Text(description=name, value=value)\n rows.append(self.parameter_inputs[name])\n\n rows += self.addSeparator(top='10px') + self.addSeparator(\n top='10px') + [self.addPreviousNext(self.show_previous, self.show_next)]\n self.box = widgets.VBox(rows)\n pass","def _configure_canvas(event):\n if self.internal_frame.winfo_reqwidth() != self.canvas.winfo_width():\n## print \"frame\",self.internal_frame.winfo_reqwidth()\n## print \"canvas\",self.canvas.winfo_width()\n # update the inner frame's width to fill the canvas\n## self.canvas.itemconfigure(interior_id, width=self.canvas.winfo_width())\n self.canvas.config(width=self.internal_frame.winfo_reqwidth())\n if self.internal_frame.winfo_reqheight() != self.canvas.winfo_height():\n # update the inner frame's width to fill the canvas\n## self.canvas.itemconfigure(interior_id, width=self.canvas.winfo_width())\n self.canvas.config(height=self.internal_frame.winfo_reqheight())","def change_frame(self, frame):\r\n pass","def _refresh_render(self):\n current_frame = self.frame\n self.frame = int(1E6)\n self.frame = current_frame","def loop(self, frame):\n self.root = frame\n self.drawUI()\n cv2.imshow('Fotopasca', self.root)","def display_widgets(self):\n self.f_left.pack(side=tk.LEFT, padx=20)\n self.f_mid.pack(side=tk.LEFT)\n self.f_right.pack(side=tk.LEFT, padx=10)\n self.f_right_up.pack(side=tk.TOP)\n self.f_right_down.pack(side=tk.TOP)\n\n self.f_y0.pack(side=tk.TOP)\n self.l_y0.pack(side=tk.LEFT)\n self.e_y0.pack(side=tk.LEFT, padx=10)\n\n self.f_x0.pack(side=tk.TOP)\n self.l_x0.pack(side=tk.LEFT)\n self.e_x0.pack(side=tk.LEFT, padx=10)\n\n self.f_X.pack(side=tk.TOP)\n self.l_X.pack(side=tk.LEFT)\n self.e_X.pack(side=tk.LEFT, padx=10)\n\n self.f_N.pack(side=tk.TOP)\n self.l_N.pack(side=tk.LEFT)\n self.e_N.pack(side=tk.LEFT, padx=10)\n\n self.f_solve.pack(side=tk.TOP, pady=20)\n self.b_solve.pack(side=tk.TOP, fill=tk.BOTH, pady=5)\n\n self.f_Ni.pack(side=tk.TOP)\n self.l_Ni.pack(side=tk.LEFT)\n self.e_Ni.pack(side=tk.LEFT, padx=10)\n\n self.f_Nf.pack(side=tk.TOP)\n self.l_Nf.pack(side=tk.LEFT)\n self.e_Nf.pack(side=tk.LEFT, padx=9)\n\n self.f_glob_er.pack(side=tk.TOP, pady=20)\n self.b_glob_er.pack(side=tk.TOP, fill=tk.BOTH, pady=5)","def buildmainframe(self):\n self.mainframewidgets=[]\n for x in range(3):\n thislabel = Label(self.mainframe, text=str(x))\n thislabel.grid()\n self.mainframewidgets.append(thislabel)","def refresh_display(self):\n for widget in self.button_frame.children.values():\n widget.grid_forget() \n\n for (i, rd) in enumerate(self.row_detail_list):\n rd.frame.grid(row=i)","def create_flowbox(self, flowbox, frame_list):\n\n for num_frame in frame_list:\n grid = Gtk.Grid()\n btn = self.new_thumbnail_button(num_frame)\n\n widget_cls_label = Gtk.Label()\n widget_cls_label.set_text(\"?\")\n widget_cls_label.set_size_request(20, 20)\n widget_cls_label.connect(\"draw\", self.area_on_draw, {'frame': num_frame, 'widget_label': widget_cls_label})\n # Add drawing area\n grid.add(btn)\n grid.attach_next_to(widget_cls_label, btn, Gtk.PositionType.BOTTOM, 1, 2)\n\n flowbox.add(grid)\n self.flowbox_layout = flowbox","def _draw(self, frame, boxes, probs, landmarks, name):\n try:\n print('drawing')\n for box, prob, ld, id in zip(boxes, probs, landmarks, name):\n # Draw rectangle on frame\n\n cv2.putText(frame, id, (200, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2, cv2.LINE_AA)\n\n\n except:\n print('not draw box')\n pass\n\n return frame","def makeWidgets(self):\r\n self._frame = tk.Frame(self, relief=tk.RAISED, borderwidth=1)\r\n self._frame.pack(fill=tk.BOTH, expand=1)\r\n\r\n self.pack(fill=tk.BOTH, expand=1)\r\n\r\n self._frame._label1 = tk.Label(self._frame, text='----File Name----')\r\n self._frame._label1.pack(fill=tk.X, expand=tk.NO, pady=1, padx=2)\r\n self._frame._entry = tk.Entry(self._frame)\r\n self._frame._entry.pack(pady=2, padx=2)\r\n\r\n self._frame._label0 = tk.Label(self._frame, textvariable=self.timestr)\r\n self._setTime(self._elapsedtime)\r\n self._frame._label0.pack(fill=tk.X, expand=tk.NO, pady=3, padx=2)\r\n\r\n self._frame._label2 = tk.Label(self._frame, text='----Laps----')\r\n self._frame._label2.pack(fill=tk.X, expand=tk.NO, pady=4, padx=2)\r\n\r\n self._frame._scrollbar = tk.Scrollbar(self._frame, orient=tk.VERTICAL)\r\n self._frame._listbox = tk.Listbox(self._frame, selectmode=tk.EXTENDED, height=10,\r\n yscrollcommand=self._frame._scrollbar.set)\r\n self._frame._listbox.pack(side=tk.LEFT, fill=tk.BOTH, expand=1, pady=5, padx=2)\r\n self._frame._scrollbar.config(command=self._frame._listbox.yview)\r\n self._frame._scrollbar.pack(side=tk.RIGHT, fill=tk.Y)","def crear_elements_viewer(self):\n\n self.p2_frame_list = tk.Frame(self.list_frame, borderwidth=2, relief=\"groove\")\n self.p2_label_info = ttk.Label(self.p2_frame_list, text=self.lang.VP_PAC_ID, font=FONT_TITOL)\n self.p2_label_info.pack()\n scrollbar = tk.Scrollbar(self.p2_frame_list)\n scrollbar.pack(side=tk.RIGHT, fill=tk.Y)\n self.llista = tk.Listbox(self.p2_frame_list, yscrollcommand=scrollbar.set, width=15, height=7)\n self.llista.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\n scrollbar.config(command=self.llista.yview)\n\n self.p2_frame_list_1 = tk.Frame(self.list_frame, borderwidth=2, relief=\"groove\")\n self.p2_label_info_1 = ttk.Label(self.p2_frame_list_1, text=self.lang.VP_LOC, font=FONT_TITOL)\n self.p2_label_info_1.pack()\n scrollbar_1 = tk.Scrollbar(self.p2_frame_list_1)\n scrollbar_1.pack(side=tk.RIGHT, fill=tk.Y)\n self.llista_1 = tk.Listbox(self.p2_frame_list_1, yscrollcommand=scrollbar_1.set, width=15, height=7)\n self.llista_1.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\n scrollbar_1.config(command=self.llista_1.yview)\n\n self.p2_frame_list_2 = tk.Frame(self.list_frame, borderwidth=2, relief=\"groove\")\n self.p2_label_info_2 = ttk.Label(self.p2_frame_list_2, text=self.lang.VP_DATE, font=FONT_TITOL)\n self.p2_label_info_2.pack()\n scrollbar_2 = tk.Scrollbar(self.p2_frame_list_2)\n scrollbar_2.pack(side=tk.RIGHT, fill=tk.Y)\n self.llista_2 = tk.Listbox(self.p2_frame_list_2, yscrollcommand=scrollbar_2.set, width=15, height=7)\n self.llista_2.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\n scrollbar_2.config(command=self.llista_2.yview)\n\n self.evo_frame = tk.Frame(self.list_frame)\n self.evo_button = ttk.Button(self.evo_frame, text=self.lang.VP_EVO, command=self.evo_selected)\n self.evo_button.pack()\n self.evo_button.pack_forget()\n\n\n self.p2_frame_elements = tk.Frame(self.data_frame, borderwidth=2, relief=\"groove\")\n self.p2_frame_img = tk.Frame(self.p2_frame_elements)\n self.p2_frame_metadata = tk.Frame(self.p2_frame_elements, width = 20)\n self.p2_label_metadata_code = tk.Label(self.p2_frame_metadata, text=\"\", font=FONT_MSG, width= 15, anchor=\"w\")\n self.p2_label_metadata_code.pack(pady=5)\n self.p2_label_metadata_grade = tk.Label(self.p2_frame_metadata, text=\"\", font=FONT_MSG, width=15, anchor=\"w\")\n self.p2_label_metadata_grade.pack(pady=5)\n self.p2_label_metadata_cm = ttk.Label(self.p2_frame_metadata, text=\"\", font=FONT_MSG, width=15, anchor=\"w\")\n self.p2_label_metadata_cm.pack(pady=5)\n self.assemble_img_frame()","def reset():\n for frame in added_items_frames:\n frame.destroy()\n added_item_comboboxes.clear()\n added_item_quantity_spinboxes.clear()\n hour_end_spinbox.delete(0, END)\n hour_end_spinbox.insert(0, '1')\n hour_start_spinbox.delete(0, END)\n hour_start_spinbox.insert(0, '1')\n minute_end_spinbox.delete(0, END)\n minute_end_spinbox.insert(0, '0')\n minute_start_spinbox.delete(0, END)\n minute_start_spinbox.insert(0, '0')\n item_combobox.set('')\n item_quantity_spinbox.delete(0, END)\n item_quantity_spinbox.insert(0, '0')\n playstation_numbers_combobox.set('1')\n playstation_prices_combobox.set('Single-20')\n playstation_calculate_label.config(text='0.0')\n playstation_pending_calculation_label.config(text='0.0')","def _on_frame_changed(self, change):\n self._set_coordinates(self.frame)","def question_frame():\r\n global question_list_frame, add_question_Frame, quiz_frame\r\n\r\n # Forgetting these frames so they don't overlap and make things hard to read\r\n add_question_Frame.grid_forget()\r\n quiz_frame.grid_forget()\r\n one_person_quiz_frame.grid_forget()\r\n question_list_frame.grid_forget()\r\n\r\n # Creating the label and printing on the main gui the questions\r\n Label(question_list_frame, text=\"Question Pool\").grid(row=0,column=0)\r\n question_list_frame.grid(row=0, column=0, rowspan=7, columnspan=5, sticky=W)","def makeWidgets(self):\n # globals\n global CARD_SIZE, card_images, card_back, card_sheet, pil_card_cropped, curr_card_image, xloc, d_yloc\n \n canvas.configure(background='green4') \n canvas.pack()\n # add buttons to the frame\n tk.Button(root, text='Deal', command=self.deal).pack(side=\"left\")\n tk.Button(root, text='Hit', command=self.hit).pack(side=\"left\")\n tk.Button(root, text='Stay', command=self.stay).pack(side=\"left\")\n # add label for dealer's hand\n canvas_label_d = canvas.create_text(30, (d_yloc - CARD_SIZE[1]/2), anchor=\"sw\")\n canvas.itemconfig(canvas_label_d, text=\"Dealer's hand: \")\n # add label for player's hand\n canvas_label_p = canvas.create_text(30, (p_yloc - CARD_SIZE[1]/2), anchor=\"sw\")\n canvas.itemconfig(canvas_label_p, text=\"Player's hand: \")\n # add label which updates outcome\n tk.Label(root, textvariable=self.outcome, font=('Helvetica',12), fg='white', bg='black').pack(side=\"left\")\n # add label for updating score\n canvas_label_score = canvas.create_text(CANVAS_WIDTH - 50, 30, anchor=\"sw\")\n canvas.itemconfig(canvas_label_score, text=self.score.get())","def update(self, frame):\n self.__update_state(frame)\n\n if self.strategy == \"mean\":\n ax = np.mean(np.ravel(self.flow[...,0]))\n ay = np.mean(np.ravel(self.flow[...,1]))\n else:\n ax = statistics.median(np.ravel(self.flow[...,0]))\n ay = statistics.median(np.ravel(self.flow[...,1]))\n\n P = 1\n new_x = int(self.bbox[0] + self.bbox[2] * ax * P)\n new_y = int(self.bbox[1] + self.bbox[3] * ay * P)\n self.bbox = (new_x, new_y, self.bbox[2], self.bbox[3])\n return True, self.bbox","def add_box(self):\n self.scenes[self.current_scene].add_object(Box())\n self.redraw()","def updateWidget(self):\n\n if self.frame1.state() == 'normal':\n self.frame2.deiconify()\n self.frame1.withdraw()\n else:\n self.frame2.withdraw()\n self.frame2.update()\n self.frame2.deiconify()\n self.frame1.title(\"%s's turn\" % self.usernames[1])\n self.frame2.title(\"%s's turn\" % self.usernames[0])\n showDialogBox(\"%s's turn first!\" % self.usernames[0])\n self.frame1.update()\n self.frame2.update()","def update_board(self, mpos):\n pass","def fillbox(self,forceUpdate=False):\n \n # Only fill the box if the dialog is visible.\n # This is an important protection against bad performance.\n if not forceUpdate and self.top.state() != \"normal\":\n return\n \n self.box.delete(0,\"end\")\n c = self.c ; i = 0\n self.positionList = [] ; tnodeList = []\n for p in c.visitedList:\n if p.exists(c) and p.v.t not in tnodeList:\n self.box.insert(i,p.headString().strip())\n tnodeList.append(p.v.t)\n self.positionList.append(p.copy())\n i += 1","def createWidgets(self):\n self.myFrame1 = Frame(self)\n self.myFrame2 = Frame(self)\n self.myFrame1.place(x = 100, y = 100)\n self.myFrame2.place(x = 200, y = 100)\n \n self.Label1 = Label(self.myFrame1, text = \"Este es el Frame 1\")\n self.Label2 = Label(self.myFrame2, text = \"Este es el Frame 2\")\n self.Label1.place(x = 100, y = 0)\n self.Label2.place(x = 100, y = 0)\n \n self.Button1 = Button(self, text = \"Dest 1\", command = exit)\n self.Button2 = Button(self, text = \"Dest 2\", command = exit)\n self.Button1.place(x = 200, y = 200)\n self.Button2.place(x = 300, y = 200)","def computeAndInsertBox(self,**kwargs):\n if self.predefined_box is None:\n self.mm.neglect()\n return\n (pose,new_frame) = self.baxter.frame.computeTransformation() \n if pose is None:\n self.mm.neglect()\n return\n \n try:\n side = kwargs['side']\n except Exception,e:\n rospy.logerr(\"%s\"%str(e))\n self.mm.neglect()\n return\n else:\n self.baxter.frame.setTF(self.predefined_box+'_'+side,pose)\n self.baxter.frame.waitUntilFrameUpdate(self.predefined_box+\"_\"+side)\n self.baxter.scene.createPredefinedBox(self.predefined_box+\"_\"+side,self.predefined_box)\n if self.learning:\n self.appendToTask(\"import tf_helper \\n\")\n self.appendToTask(\"side='%s'\\n\"%(side))\n self.appendToTask(\"baxter.bb.predefined_box='%s'\\n\"%(self.predefined_box))\n self.appendToTask(\"pose = tf_helper.PS('%s',%s,%s)\\n\"%(FRAME_ORIGIN,list(pose.pose.position),list(pose.pose.orientation)))\n self.appendToTask(\"baxter.frame.setTF('%s_'+side,pose)\\n\"%(self.predefined_box))\n self.appendToTask(\"baxter.frame.waitUntilFrameUpdate('%s_'+side)\\n\"%(self.predefined_box))\n self.appendToTask(\"baxter.scene.createPredefinedBox(baxter.bb.predefined_box+'_'+side,baxter.bb.predefined_box)\\n\")\n if self.predefined_box == \"wako\" or self.predefined_box.startswith(\"tray\") is True or self.predefined_box.startswith(\"table\") is True:\n self.appendToTask(\"for drop_off in baxter.scene.boxes[baxter.bb.predefined_box][1].keys():\\n\"%())\n self.appendToTask(\" pose = tf_helper.PS('%s_'+side,%s,%s)\\n\"%(self.predefined_box,\"baxter.scene.boxes[baxter.bb.predefined_box][1][drop_off][0:3]\",\"baxter.scene.boxes[baxter.bb.predefined_box][1][drop_off][3:7]\"))\n self.appendToTask(\" baxter.frame.setTF(drop_off+'_'+side,pose)\\n\")\n if self.predefined_box == \"wako\" or self.predefined_box.startswith(\"tray\") is True or self.predefined_box.startswith(\"table\") is True:\n for drop_off in self.baxter.scene.boxes[self.predefined_box][1].keys():\n pose = PS(self.predefined_box+'_'+side,self.baxter.scene.boxes[self.predefined_box][1][drop_off][0:3],self.baxter.scene.boxes[self.predefined_box][1][drop_off][3:7])\n self.baxter.frame.setTF(drop_off+'_'+side,pose)\n self.mm.confirm()","def updateWidget(self):\n pass","def OnSize(self, event):\r\n\r\n for pos, item in self._items.items():\r\n widget, horizontalalignment, verticalalignment = item.widget, item.horizontalalignment, item.verticalalignment\r\n\r\n rect = self.GetFieldRect(pos)\r\n widgetpos = widget.GetPosition()\r\n widgetsize = widget.GetSize()\r\n\r\n rect = self.GetFieldRect(pos)\r\n\r\n if horizontalalignment == ESB_EXACT_FIT:\r\n if verticalalignment == ESB_EXACT_FIT:\r\n widget.SetSize((rect.width-2, rect.height-2))\r\n widget.SetPosition((rect.x-1, rect.y-1))\r\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\r\n if widgetsize[1] < rect.width - 1:\r\n diffs = (rect.height - widgetsize[1])/2\r\n widget.SetSize((rect.width-2, widgetsize[1]))\r\n widget.SetPosition((rect.x-1, rect.y+diffs))\r\n else:\r\n widget.SetSize((rect.width-2, widgetsize[1]))\r\n widget.SetPosition((rect.x-1, rect.y-1))\r\n elif verticalalignment == ESB_ALIGN_TOP:\r\n widget.SetSize((rect.width-2, widgetsize[1]))\r\n widget.SetPosition((rect.x-1, rect.y))\r\n elif verticalalignment == ESB_ALIGN_BOTTOM:\r\n widget.SetSize((rect.width-2, widgetsize[1]))\r\n widget.SetPosition((rect.x-1, rect.height-widgetsize[1]))\r\n\r\n elif horizontalalignment == ESB_ALIGN_LEFT:\r\n\r\n xpos = rect.x - 1\r\n if verticalalignment == ESB_EXACT_FIT:\r\n widget.SetSize((widgetsize[0], rect.height-2))\r\n widget.SetPosition((xpos, rect.y-1))\r\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\r\n if widgetsize[1] < rect.height - 1:\r\n diffs = (rect.height - widgetsize[1])/2\r\n widget.SetPosition((xpos, rect.y+diffs))\r\n else:\r\n widget.SetSize((widgetsize[0], rect.height-2))\r\n widget.SetPosition((xpos, rect.y-1))\r\n elif verticalalignment == ESB_ALIGN_TOP:\r\n widget.SetPosition((xpos, rect.y))\r\n elif verticalalignment == ESB_ALIGN_BOTTOM:\r\n widget.SetPosition((xpos, rect.height-widgetsize[1]))\r\n\r\n elif horizontalalignment == ESB_ALIGN_RIGHT:\r\n\r\n xpos = rect.x + rect.width - widgetsize[0] - 1\r\n if verticalalignment == ESB_EXACT_FIT:\r\n widget.SetSize((widgetsize[0], rect.height-2))\r\n widget.SetPosition((xpos, rect.y-1))\r\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\r\n if widgetsize[1] < rect.height - 1:\r\n diffs = (rect.height - widgetsize[1])/2\r\n widget.SetPosition((xpos, rect.y+diffs))\r\n else:\r\n widget.SetSize((widgetsize[0], rect.height-2))\r\n widget.SetPosition((xpos, rect.y-1))\r\n elif verticalalignment == ESB_ALIGN_TOP:\r\n widget.SetPosition((xpos, rect.y))\r\n elif verticalalignment == ESB_ALIGN_BOTTOM:\r\n widget.SetPosition((xpos, rect.height-widgetsize[1]))\r\n\r\n elif horizontalalignment == ESB_ALIGN_CENTER_HORIZONTAL:\r\n\r\n xpos = rect.x + (rect.width - widgetsize[0])/2 - 1\r\n if verticalalignment == ESB_EXACT_FIT:\r\n widget.SetSize((widgetsize[0], rect.height))\r\n widget.SetPosition((xpos, rect.y))\r\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\r\n if widgetsize[1] < rect.height - 1:\r\n diffs = (rect.height - widgetsize[1])/2\r\n widget.SetPosition((xpos, rect.y+diffs))\r\n else:\r\n widget.SetSize((widgetsize[0], rect.height-1))\r\n widget.SetPosition((xpos, rect.y+1))\r\n elif verticalalignment == ESB_ALIGN_TOP:\r\n widget.SetPosition((xpos, rect.y))\r\n elif verticalalignment == ESB_ALIGN_BOTTOM:\r\n widget.SetPosition((xpos, rect.height-widgetsize[1]))\r\n\r\n if event is not None:\r\n event.Skip()","def __init__(self):\r\n Frame.__init__(self)\r\n self.master.title(\"GUIs drawing geometric shapes\")\r\n self.grid()\r\n\r\n #create a canvas and place in this frame\r\n self.canvas = Canvas(self, width = 300, height = 400)\r\n self.canvas.grid(row = 0, column = 0)\r\n\r\n self.canvas.create_rectangle(100, 50, 200, 350)\r\n self.canvas.create_oval(100, 50, 200, 150,\r\n fill = \"white\", tags = \"RED\")\r\n self.canvas.create_oval(100, 150, 200, 250,\r\n fill = \"white\", tags = \"YELLOW\")\r\n self.canvas.create_oval(100, 250, 200, 350,\r\n fill = \"green\", tags = \"GREEN\")\r\n\r\n \r\n dx = 1\r\n while True:\r\n self.canvas.after(2000) # Sleep for 15 milliseconds\r\n self.canvas.update() # Update canvas\r\n if dx == 1:\r\n self.canvas.itemconfigure(\"YELLOW\", fill = \"yellow\")\r\n self.canvas.itemconfigure(\"GREEN\", fill = \"white\")\r\n dx += 1\r\n elif dx == 2:\r\n self.canvas.itemconfigure(\"RED\", fill = \"red\")\r\n self.canvas.itemconfigure(\"YELLOW\", fill = \"white\")\r\n dx += 1 \r\n else:\r\n self.canvas.itemconfigure(\"RED\", fill = \"white\")\r\n self.canvas.itemconfigure(\"GREEN\", fill = \"green\")\r\n dx = 1","def update_frame_label(self):\n count = len(self.main_frame_list)\n\n for idx in range(count): #Start, count) \n s1 = \"\"\n for i in range(16): #self.main_frame_nibble_list: # 16\n s = \"\"\n for j in range(4):\n s += str(self.main_button_bit_list[idx][i*4 + j].get_label())\n s = s[::-1]\n self.main_frame_nibble_list[idx][i].set_label(str(hex(int(s,2)))[2:].upper())\n s1 += str(self.main_frame_nibble_list[idx][i].get_label())\n s1 = s1[::-1]\n if DEBUG: print(s1[:8] + \" \" + s1[8:])\n self.main_frame_list[idx].set_label(s1[:8] + \" \" + s1[8:])","def body(self, frame):\n frame.rowconfigure(0, weight=0, pad=5)\n frame.rowconfigure(1, weight=0)\n frame.columnconfigure(0, weight=0)\n frame.columnconfigure(1, weight=0)\n\n self.name_label = tk.Label(frame, width=6, text=\"Name: \")\n self.name_label.grid(column=0, row=0)\n\n self.name_box = tk.Entry(frame, width=30)\n if self.name != \"\":\n self.name_box.insert(0, self.name)\n self.name_box.grid(column=1, row=0)\n\n self.url_label = tk.Label(frame, width=6, text=\"URL: \")\n self.url_label.grid(column=0, row=1)\n self.url_box = tk.Entry(frame, width=30)\n if self.url != \"\":\n self.url_box.insert(0, self.url)\n self.url_box.grid(column=1, row=1)\n return frame","def update_species_frames(self):\n pass","def config_frames(self):\n self.root.grid_rowconfigure(1, weight=1)\n self.root.grid_columnconfigure(1, weight=1)\n\n self.top_frame = tkinter.Frame(self.root, pady=1)\n self.top_frame.grid(row=0, columnspan=2, sticky='nsew')","def update(self):\n self.platform_list.update()\n self.exit_sprite.update()\n self.bagGroup.update()\n self.enemy_list.update()","def initialize(self):\n self.frame = Frame(master=self.root)\n reslut_text = Label(master=self.frame, text=\"Tulokset\")\n reslut_text.config(font=(\"Courier\", 44))\n reslut_text.grid(row=0, column=0)\n amount_correct_text = Label(master=self.frame, text=\"Oikeat arvaukset:\")\n amount_correct_text.config(font=(\"Courier\", 20))\n amount_correct_text.grid(row=1, column=0)\n\n \"\"\"geting the amount of correct guesses from gamesta class and showing it\"\"\"\n correct_amount, comparison = self.gamestate.get_result()\n full_amount = self.gamestate.get_deck_size()\n result_amount_text = Label(master=self.frame, text=(str(correct_amount)+ \"/\" +str(full_amount)))\n result_amount_text.config(font=(\"Courier\", 20))\n result_amount_text.grid(row=1, column=1)\n\n \"\"\"More text on page\"\"\"\n theese_wrong_text = Label(master=self.frame, text=\"Tässä oikea rivi: \")\n theese_wrong_text.config(font=(\"Courier\", 20))\n theese_wrong_text.grid(row=3, column=0)\n player_answers_text = Label(master=self.frame, text=\"Näin sinä vastasit: \")\n player_answers_text.config(font=(\"Courier\", 20))\n player_answers_text.grid(row=5, column=0)\n\n sf_correct = ScrollableFrame(self.frame)\n sf_user = ScrollableFrame(self.frame)\n\n for i in range(len(comparison)):\n \"\"\"Using scrollable frame to show the right answers\n and guesses (pictures of cards) made by player\"\"\"\n is_correct, correct_card, user_card = comparison[i]\n text = \"vastasit:\\noikein\" if is_correct else \"vastasit:\\nväärin\"\n color = \"green\" if is_correct else \"red\"\n img = create_card_image(sf_correct.scrollable_frame, correct_card, 50,100)\n img.grid(row=0, column=i)\n label = Label(master=sf_correct.scrollable_frame, text= text, fg = color)\n label.grid(row=1,column=i)\n img = create_card_image(sf_user.scrollable_frame, user_card, 50,100)\n img.grid(row=0, column=i)\n label = Label(master=sf_user.scrollable_frame, text= text, fg = color)\n label.grid(row=1,column=i)\n sf_correct.grid(row=4, column=0)\n sf_user.grid(row=6, column=0)\n\n \"\"\"Buttons for navigation\"\"\"\n new_game_button = Button(master=self.frame, text=\"Uusi peli\", command = self.handle_show_game_settings)\n frontpage_button = Button(master=self.frame, text=\"Päävalikkoon\", command = self.handle_show_frontpage_view)\n new_game_button.grid(padx=5, pady=5, sticky=constants.EW)\n frontpage_button.grid(padx=5, pady=5, sticky=constants.EW)","def update_bboxes(self, ths):\n # find bboxes based on thresholded heatmap\n labels, n_labels = scipy.ndimage.measurements.label(ths)\n detected_bboxes = list()\n for car_label in range(1, n_labels + 1):\n nonzero = (labels == car_label).nonzero()\n bbox = ((np.min(nonzero[1]), np.min(nonzero[0])),\n (np.max(nonzero[1]), np.max(nonzero[0])))\n detected_bboxes.append(bbox)\n self.detected_bboxes = detected_bboxes\n\n # match new and previous detections\n N_known = len(self.averaged_bboxes)\n N_new = len(detected_bboxes)\n dmatrix = np.zeros((N_known, N_new))\n for i in range(N_known):\n for j in range(N_new):\n dmatrix[i,j] = bbox_dist(\n self.averaged_bboxes[i],\n detected_bboxes[j])\n row_ind, col_ind = scipy.optimize.linear_sum_assignment(dmatrix)\n # only consider matches whose centroids are close\n mask = dmatrix[row_ind, col_ind] < self.centroid_radius\n matched_row_ind = row_ind[mask]\n matched_col_ind = col_ind[mask]\n # update moving average \n for i, j in zip(matched_row_ind, matched_col_ind):\n avg_bbox = self.averaged_bboxes[i]\n new_bbox = detected_bboxes[j]\n self.averaged_bboxes[i] = update_bbox(avg_bbox, new_bbox, self.decay)\n\n # remove bounding boxes which are not present anymore\n self.averaged_bboxes = [bbox for i, bbox in enumerate(self.averaged_bboxes) if i in matched_row_ind]\n # add new bounding boxes\n for j in range(N_new):\n if not j in matched_col_ind:\n self.averaged_bboxes.append(detected_bboxes[j])","def update(self):","def update(self):","def update(self):","def update(self):\r\n self.rect = pygame.Rect(self.x, self.y, self.width, self.height)","def __init__(self):\n self.master = Tk()\n self.master.title(\"Brick Breaker\")\n self.master.geometry(\"800x600\")\n self.master.minsize(800, 600)\n self.master.iconbitmap(\"data/wall.ico\")\n self.master.config(background=\"lightblue\")\n self.frame = Frame(self.master, bg='lightblue')\n self.littleFrame = Frame(self.frame, bg='lightblue')\n\n # creation des composants\n self.create_title()\n self.create_play_button()\n self.create_quit_button()\n\n # empaquetage\n self.littleFrame.pack(expand=YES, pady=100)\n self.frame.pack(expand=YES)","def __init__(self, master=None):\n\t\ttkinter.Frame.__init__(self, master)\n\t\tself.master.title('ES Color Chooser')\n\t\tself.grid()\n\n\t\t# create central block of color samples\n\t\tself.labels = [[None for _ in range(3)] for _ in range(3)]\n\t\tfor (col, row) in itertools.product(range(3), range(3)):\n\t\t\tlabel = tkinter.Label(self, width=20, height=10, bg='#FFFFFF')\n\t\t\tlabel.bind('<ButtonRelease-1>', self.clicked)\n\t\t\tlabel.grid(column=col, row=row, padx=1, pady=1)\n\t\t\tself.labels[row][col] = label\n\t\tself.center = self.labels[1][1]\n\n\t\t# create side pane with buttons and history\n\t\tside = tkinter.Frame(self)\n\t\tside.grid(row=0, column=3, rowspan=3)\n\t\ttkinter.Button(side, text='Select new Color', command=self.select_color).pack(side='top')\n\t\tself.sigma = tkinter.Scale(side, label='Sigma', orient='horizontal', from_=1, to=25)\n\t\tself.sigma.pack(side='top')\n\t\tself.sigma.set(10)\n\t\ttkinter.Label(side, text='Current color').pack(side='top')\n\t\tself.current = tkinter.StringVar()\n\t\tcurrent = tkinter.Entry(side, justify='center', textvariable=self.current)\n\t\tcurrent.pack(side='top')\n\t\ttkinter.Label(side, text='History').pack(side='top')\n\t\tself.history = tkinter.Listbox(side, height='16', bg='white', activestyle='dotbox')\n\t\tself.history.bind('<ButtonRelease-1>', self.clicked)\n\t\tself.history.pack(side='top')","def _sync_gui(self):\n self._update_buttons()\n\n self.turn_value_label.config(text=self.turn_value_text)\n self.selected_piece_value_label.config(text=self.selected_piece_value_text)\n\n self.update()","def _configure_interior(event):\n # update the scrollbars to match the size of the inner frame\n size = (self.internal_frame.winfo_reqwidth(), self.internal_frame.winfo_reqheight())\n self.canvas.config(scrollregion=\"0 0 %s %s\" % size)\n if self.internal_frame.winfo_reqwidth() != self.canvas.winfo_width():\n # update the canvas's width to fit the inner frame\n self.canvas.config(width=self.internal_frame.winfo_reqwidth())\n if self.internal_frame.winfo_reqheight() != self.canvas.winfo_height():\n # update the canvas's width to fit the inner frame\n self.canvas.config(height=self.internal_frame.winfo_reqheight())","def update(self, *args, **kwargs):\r\n \r\n if self.changed:\r\n \r\n for e in self.entries + self.bottom_entries:\r\n e.changed = True\r\n \r\n if self.title is not None:\r\n title_size = list(self.font.size(self.title))\r\n title_size[1] = self.font.get_height()\r\n else:\r\n title_size = (0,0)\r\n \r\n self.min_button_size = self.calculate_min_button_size()\r\n self.min_bottom_button_size = self.calculate_min_bottom_button_size()\r\n \r\n if len(self.bottom_entries) == 0:\r\n bottom_buttons_spacing = 0\r\n else:\r\n bottom_buttons_spacing = self.min_bottom_button_size[1] \\\r\n + self.button_vspacing\r\n \r\n button_vstep = self.min_button_size[1] + self.button_vspacing\r\n button_hstep = self.min_bottom_button_size[0] + self.button_hspacing\r\n \r\n buttons_rect = Rect(\r\n 0,\r\n 0,\r\n max(self.min_button_size[0],\r\n button_hstep * len(self.bottom_entries) - self.button_hspacing,\r\n title_size[0]),\r\n button_vstep * len(self.entries) - self.button_vspacing\r\n )\r\n \r\n buttons_rect.center = self.screen_rect.center\r\n \r\n \r\n bg_rect = buttons_rect.inflate(self.h_inborders \\\r\n + self.right_space,\r\n self.v_inborders \\\r\n + self.top_space \\\r\n + self.bottom_space \\\r\n + bottom_buttons_spacing\\\r\n + title_size[1])\r\n buttons_rect.x = bg_rect.x + self.h_inborders // 2\r\n buttons_rect.y = bg_rect.y \\\r\n + self.v_inborders // 2 \\\r\n + self.top_space \\\r\n + title_size[1]\r\n \r\n bottom_buttons_rect = Rect(bg_rect.x + self.h_inborders // 2,\r\n buttons_rect.bottom \\\r\n + self.button_vspacing,\r\n bg_rect.w - self.h_inborders,\r\n self.min_bottom_button_size[1]\r\n )\r\n \r\n for i, entry in enumerate(self.entries):\r\n entry.rect = Rect(buttons_rect.x,\r\n buttons_rect.y + i*button_vstep,\r\n self.min_button_size[0],\r\n self.min_button_size[1])\r\n entry.rect.centerx = buttons_rect.centerx\r\n \r\n self.bottom_button_align.align(bottom_buttons_rect,\r\n self.bottom_entries,\r\n self.button_hspacing,\r\n self.min_bottom_button_size)\r\n \r\n self.background.image = \\\r\n self.render_background(bg_rect.w, bg_rect.h)\r\n self.background.rect = bg_rect\r\n \r\n self.buttons_rect = buttons_rect\r\n \r\n self.changed = False\r\n \r\n super().update(*args, **kwargs)","def frame(self):","def update(self):\n self.board.update()","def draw_boxes(self, im, boxes):\n for bbox in boxes:\n l = [int(x) for x in bbox[\"coords\"]]\n l = self.scalebox(l)\n icon = self.classes_to_icons[bbox[\"label\"]]\n overlay_im_to_background(im, icon, l[0], l[1] - icon.shape[0] - 5)\n cv2.rectangle(im,(l[0],l[1]),(l[2],l[3]),self.color,2)","def _update_boxes(self, x,y):\n\t\talloc = self.alloc2img()\n\t\t\n\t\tif not rect_contains(alloc, x,y):\n\t\t\t# The mouse has left the widget\n\t\t\tself._changed_rect = None\n\t\t\tself._boxes_under_cursor = []\n\t\t\treturn True\n\t\t\n\t\tif self._changed_rect is None or not rect_contains(self._changed_rect, x, y):\n\t\t\tif len(self.model) == 0: return False\n\t\t\t# The mouse left the common area\n#\t\t\tif __debug__: print '(%i,%i)' % (x,y),\n\t\t\t\n#\t\t\tif __debug__: print \"Old rect:\", tuple(self._changed_rect) if self._changed_rect is not None else self._changed_rect,\n\t\t\tself._changed_rect = None\n\t\t\t\t\n\t\t\t\n\t\t\t# Calculate new boxes\n\t\t\tnewboxes = self.find_boxes_under_coord(x,y)\n\t\t\tself._boxes_under_cursor = newboxes\n#\t\t\tif __debug__: print \"newboxes:\", newboxes,\n\t\t\t\n\t\t\t# Update the caching rectangle\n\t\t\tif len(newboxes):\n\t\t\t\tchanged = newboxes[0].rect\n\t\t\telse: # Outside of any boxes, use allocation\n\t\t\t\tchanged = alloc\n\t\t\tfor b in newboxes[1:]:\n\t\t\t\tchanged = changed.intersect(b.rect)\n\t\t\tfor r in self.model:\n\t\t\t\tb = r[self.box_col]\n\t\t\t\tif b not in newboxes:\n\t\t\t\t\tchanged = rect_diff(changed, b.rect, (x,y))\n\t\t\tif changed == alloc: # This is so extrodinarily BAD that we should test for it.\n\t\t\t\t# It's bad because if it were true, the cache would never clear\n\t\t\t\tfrom warnings import warn\n\t\t\t\twarn(\"The chosen change rect was the allocation. THIS SHOULD'T HAPPEN.\")\n\t\t\t\tchanged = None\n\t\t\tif __debug__: print \"Change rect:\", changed\n\t\t\tself._changed_rect = changed\n\t\t\tassert changed is None or rect_contains(changed, x,y)\n\t\t\tif __debug__: self.queue_draw()\n\t\t\treturn True\n\t\telse:\n\t\t\treturn False","def __call__(self):\n self.brain._update_fscale(self.factor)\n for key in self.brain.keys:\n if self.widgets[key] is not None:\n self.widgets[key].set_value(self.brain._data[key])","def _update_frame(self):\n # check if continue\n if self._keep_updating:\n self.__frame = self._cam.get_display_frame()\n if self.__frame is not None:\n self._cvn_camera_viewfinder.create_image(0, 0, image=self.__frame, anchor=tk.NW)\n\n self._root.after(self._delay, self._update_frame)","def __init__(self, master, num_pokemon):\n super().__init__(master)\n self._num_pokemon = num_pokemon\n self._master = master\n self.pokeballs = 0\n\n #insert image of pokeball\n frame1 = tk.Frame(self._master)\n frame1.pack(side=tk.LEFT)\n\n self.ballimage = tk.PhotoImage(file=\"./images/full_pokeball.gif\")\n self.ball = tk.Label(frame1, image=self.ballimage)\n self.ball.pack(side=tk.LEFT)\n\n self.balls = frame1\n self.ballup = tk.Label(self.balls, text=f'{self.pokeballs} attemped catches')\n self.ballup.pack(side=tk.TOP)\n self.balldown = tk.Label(self.balls, text=f'{self._num_pokemon - self.pokeballs} pokeballs left')\n self.balldown.pack(side=tk.BOTTOM)\n self.balls.pack(side=tk.LEFT)\n\n #insert image of clock\n frame2 = tk.Frame(self._master)\n frame2.pack(side=tk.LEFT)\n\n self.clockimage = tk.PhotoImage(file=\"./images/clock.gif\")\n self.clock = tk.Label(frame2, image=self.clockimage)\n self.clock.pack(side=tk.LEFT)\n\n #insert the button of \"New game\" and \" Restart game\"\n self.buttons = tk.Frame(self)\n self.n = tk.Button(self.buttons, text=\"New game\")\n self.r = tk.Button(self.buttons, text=\"Restart game\")\n self.n.pack(side=tk.TOP)\n self.r.pack(side=tk.BOTTOM)\n self.buttons.pack(side=tk.RIGHT)","def _updateBoundingRect(self):\n self.setPen(QPen(Qt.NoPen))\n self.setRect(self.childrenBoundingRect())\n # move and show or hide the buttons if necessary\n addButton = self._addBasesButton\n rmButton = self._removeBasesButton\n if len(self._virtualHelixItemList) > 0:\n addRect = addButton.boundingRect()\n rmRect = rmButton.boundingRect()\n x = self._vHRect.right()\n y = -styles.PATH_HELIX_PADDING\n addButton.setPos(x, y)\n rmButton.setPos(x-rmRect.width(), y)\n addButton.show()\n rmButton.show()\n else:\n addButton.hide()\n rmButton.hide()","def __init__(self):\n self.window = Tk()\n self.window.title(\"Brick Breaker\")\n self.window.attributes(\"-fullscreen\", True)\n self.window.iconbitmap(\"data/wall.ico\")\n self.window.config(background=\"light blue\")\n\n # initialization des composants\n self.frame = Frame(self.window, bg='light blue')\n self.littleFrame = Frame(self.frame, bg='light blue')\n self.littleFrame_bis = LabelFrame(self.frame, bg='light blue', text=\"USER NAME\")\n\n # creation des composants\n self.create_title()\n self.create_subtitle()\n self.create_play_button()\n self.create_quit_button()\n\n # empaquetage\n self.littleFrame_bis.pack(expand=YES, pady=30)\n self.littleFrame.pack(expand=YES, pady=50)\n self.frame.pack(expand=YES, fill=BOTH, pady=200)","def slider_frames_changed(self):\n\n # Again, please note the difference between indexing and GUI displays.\n index = self.slider_frames.value() - 1\n\n # Differentiate between frame ordering (by quality or chronologically).\n if self.frame_ordering == \"quality\":\n self.frame_index = self.quality_sorted_indices[index]\n self.quality_index = index\n\n else:\n self.frame_index = index\n self.quality_index = self.rank_indices[self.frame_index]\n\n # Adjust the frame list and select the current frame.\n\n self.listWidget.setCurrentRow(index, QtCore.QItemSelectionModel.SelectCurrent)\n\n # Update the image in the viewer.\n self.frame_selector.setPhoto(self.frame_index)\n self.listWidget.setFocus()","def redraw(self):\n bpy.context.scene.objects.active = bpy.context.scene.objects.active","def update_gui(self):\n for where, updates in self.gui_updates.items():\n self.window[where].update(**updates)\n self.gui_updates = {}","def buttonbox(self):\n\n box = Frame(self)\n b = Button(box, text=\"OK\", width=10, command=self.ok, default=ACTIVE)\n b.pack(side=LEFT, padx=5, pady=5)\n #w = Button(box, text=\"Cancel\", width=10, command=self.cancel)\n a= Button(box, text=\"Autofill\", width=10, command=self.auto_populate, default=ACTIVE)\n a.pack(side=LEFT, padx=5, pady=5)\n #w.pack(side=LEFT, padx=5, pady=5)\n #w[\"state\"] = DISABLED\n\n\n self.bind(\"<Return>\", self.ok)\n self.bind(\"<Escape>\", self.cancel)\n\n box.pack()","def update(self, box):\n if box is not None:\n self.last_boxes.append(box)\n bound = min(len(self.last_boxes), self.n_frames)\n self.best_box = np.mean(self.last_boxes[-bound:], axis=0).astype(np.uint32)\n\n self.frames_undetected = 0\n else:\n self.frames_undetected += 1\n\n self.age += 1","def update_bbox(self, viewer, dims):\n title = self.get_title()\n self._title.text = title if title is not None else '555.55'\n self.title_wd, self.txt_ht = viewer.renderer.get_dimensions(self._title)\n\n wd, ht = dims[:2]\n y_hi = ht\n if title is not None:\n # remove Y space for X axis title\n y_hi -= self.txt_ht + 4\n # remove Y space for X axis labels\n y_hi -= self.txt_ht + self.pad_px\n\n self.aide.update_plot_bbox(y_hi=y_hi)","def edit(self):\n self.toplevel = tk.Toplevel()\n # ============================= Frame Setup\n # Get Frames for each side of the editor\n self.leftSide = tk.LabelFrame(self.toplevel, text=\"Leftside\")\n self.rightSide = tk.LabelFrame(self.toplevel, text=\"Rightside\")\n self.leftSide.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\n self.rightSide.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\n #### Build the leftside\n # Frame for controlling the title of node\n self.titleFrame = tk.LabelFrame(self.leftSide, text=\"Title\")\n self.titleFrame.pack(side=tk.TOP, fill=tk.X, expand=False)\n self.titleEntry = tk.Entry(self.titleFrame)\n self.titleEntry.pack(side=tk.LEFT, fill=tk.X, expand=True)\n self.titleUpdateButton = tk.Button(self.titleFrame, text=\"Update\", command=self.update_title_from_entry)\n self.titleUpdateButton.pack(side=tk.LEFT)\n # ============================= EditorFrame\n self.editorFrame = tk.Frame(self.leftSide)\n self.editorFrame.pack(side=tk.TOP, fill=tk.BOTH, expand=True)\n self.textWidget = tk.Text(self.editorFrame)\n self.textWidget.pack(side=tk.TOP, fill=tk.BOTH, expand=True)\n # ============================= Status Bar\n self.statusFrame = tk.LabelFrame(self.leftSide, text=\"Status\", relief=tk.SUNKEN)\n self.statusFrame.pack(side=tk.TOP, fill=tk.X, expand=False)\n self.wordWrapStatus = tk.Menubutton(self.statusFrame)\n self.wordWrapStatus.pack()\n # ============================== Buttons on the right side of the editor\n self.buttonFrame = tk.Frame(self.rightSide)\n self.buttonFrame.pack(side=tk.TOP)\n self.saveButton = tk.Button(self.buttonFrame, text=\"save\", command=self.on_editor_save, bg=\"green\")\n self.exitButton = tk.Button(self.buttonFrame, text=\"exit\", command=self.on_editor_exit, bg=\"red\")\n self.saveButton.pack(side=tk.LEFT, fill=tk.X, expand=True)\n self.exitButton.pack(side=tk.LEFT, fill=tk.X, expand=True)\n # insert title of node into title entry\n self.titleEntry.insert(tk.END, self.title)\n # insert contents of node into textwidget\n self.textWidget.insert(tk.END, self.text)","def _change_coordinate_frame(self, boxes, window):\n with tf.name_scope('change_coordinate_frame'):\n\n ymin, xmin, ymax, xmax = tf.unstack(boxes, axis=1)\n ymin -= window[0]\n xmin -= window[1]\n ymax -= window[0]\n xmax -= window[1]\n\n win_height = window[2] - window[0]\n win_width = window[3] - window[1]\n boxes = tf.stack([\n ymin/win_height, xmin/win_width,\n ymax/win_height, xmax/win_width\n ], axis=1)\n boxes = tf.cond(tf.greater(tf.shape(boxes)[0], 0),\n lambda: tf.clip_by_value(boxes, clip_value_min=0.0, clip_value_max=1.0),\n lambda: boxes\n )\n # boxes = tf.clip_by_value(boxes, clip_value_min=0.0, clip_value_max=1.0) - work_element_count > 0 (0 vs. 0)\n return boxes","def model_refresh(self):\n for x in range(self._dim):\n for y in range(self._dim):\n if self._board[x][y]:\n self.canvas.itemconfig(self.rect[y,x], fill=self._secondary_color)\n else:\n self.canvas.itemconfig(self.rect[y,x], fill=self._primary_color)","def main():\n global fenetre, gr_grid,grid,steps,btn\n fenetre = Frame()\n fenetre.grid()\n fenetre.master.title('Rush Hour')\n flabel = Frame(fenetre)\n flabel.grid()\n steps=StringVar()\n Label(flabel, textvariable=steps).pack()\n steps.set(str(len(l))+\" steps remaining\")\n background = Frame(fenetre, bg = game_bg, width=game_size, height=game_size)\n background.grid()\n gr_grid = []\n for i in range(6):\n gr_line = []\n for j in range(6):\n cell = Frame(background, bg = tiles_empty_bg, width = tiles_size, height = tiles_size)\n cell.grid(row=i, column=j,padx=1, pady=1)\n t = Label(master = cell, text = \"\", bg = tiles_empty_bg, justify = CENTER, font = tiles_font, width=4, height=2)\n t.grid()\n gr_line.append(t)\n gr_grid.append(gr_line)\n\n board_display(my_board)\n button=Frame(fenetre)\n button.grid()\n btn=StringVar()\n Button(button, textvariable=btn, command=next_step).pack(side=BOTTOM)\n btn.set(\"Next step\")\n fenetre.mainloop()","def __init__(self):\n EasyFrame.__init__(self, title = \"Game Time\")\n self.setSize(440, 400)\n self.cardLabel1 = self.addLabel(\"\", row = 0,\n column = 0,\n sticky = \"NSEW\")\n self.cardLabel2 = self.addLabel(\"\", row = 0,\n column = 1,\n sticky = \"NSEW\")\n self.cardLabel3 = self.addLabel(\"\", row = 0,\n column = 2,\n sticky = \"NSEW\")\n self.stateLabel = self.addLabel(\"\", row = 1, column = 0,\n sticky = \"NSEW\",\n columnspan = 2)\n self.addButton(row = 2, column = 0,\n text = \"New game\",\n command = self.newDeal)\n self.addButton(row = 2, column = 2,\n text = \"Quit\",\n command = self.quit)","def __init__(self, master, width, height, number):\n Frame.__init__(self, master)\n # create list of minesweeper cell coords\n cellCoords = []\n for h in range(height):\n for w in range(width):\n cellCoords.append((h, w))\n random.shuffle(cellCoords)\n # find bombs\n self.bombCoords = cellCoords[:number]\n self.bombs = []\n for bomb in self.bombCoords:\n self.bombs.append(MsCell(bomb, True, self))\n # make the rest non-bomb cells\n self.cellCoords = cellCoords[number:]\n self.nonExposed = self.cellCoords[:]\n self.nonBombcells = []\n for cell in self.cellCoords:\n adjacentBombs = 0\n for h in range(max(0, cell[0] - 1), min(cell[0] + 2, height)):\n for w in range(max(0, cell[1] - 1), min(cell[1] + 2, width)):\n if (h, w) in self.bombCoords:\n adjacentBombs += 1\n self.nonBombcells.append(MsCell(cell, adjacentBombs, self))\n # set cell\n self.number = number\n self.height = height\n self.width = width\n # set number label\n self.numberLabel = Label(master, text=str(self.number))\n self.numberLabel.grid(row=self.height, columnspan=self.width)"],"string":"[\n \"def changement_frame(self):\\n\\n for widget in self.fenetre_scores.winfo_children():\\n widget.pack_forget()\\n\\n for widget in self.fenetre_regles.winfo_children():\\n widget.pack_forget()\\n\\n for widget in self.frame_jeu.winfo_children():\\n widget.pack_forget()\\n\\n for widget in self.winfo_children():\\n if widget != self.titre:\\n widget.pack_forget()\",\n \"def Define_Frame(self):\\n self.frame=Frame(self.master, relief=GROOVE, bd=4)\\n self.frame.grid(row=0,column=1,rowspan=2,columnspan=2)\\n frame_title = Label(self.frame,text=\\\"Stage Control\\\",relief=RAISED,bd=2,width=24, bg=\\\"light yellow\\\",font=(\\\"Times\\\", 16))\\n frame_title.grid(row=0, column=1)\\n self.encoder_text = [] # These hold the stage position as read by the encoders\\n self.coo_ent = [] # These hold the coordinate entry values\\n but = []\\n encoder_display = []\\n for i in range(3):\\n self.coo_ent.append(Entry(self.frame, justify=\\\"center\\\", width=12))\\n but.append(Button(self.frame, text=\\\"Move %s (relative)\\\"%self.POS_NAME[i], width=12,command=lambda axis=i:self.GUI_move(axis)))\\n self.encoder_text.append(StringVar())\\n encoder_display.append(Label(self.frame,textvariable=self.encoder_text[i],relief=SUNKEN,bd=1, width=20))\\n self.coo_ent[i].grid(row=i+1,column=0)\\n self.coo_ent[i].focus_set()\\n but[i].grid(row=i+1,column=1)\\n encoder_display[i].grid(row=i+1,column=2)\\n self.encoder_text[i].set(\\\"%8s microns\\\"%str(self.read_pos[i]))\\n zero_encoders_button = Button(self.frame, text=\\\"Re-Initialize Encoders\\\", width=20, command=self.GUI_ReInitialize_Encoders)\\n zero_encoders_button.grid(row=5,column=1)\\n return\",\n \"def setUpFrame(self):\\n #adds labels to the Board\\n self.mineLabel = tk.Label(self, text=\\\"Mines: \\\"+str(self.numMines))\\n self.mineLabel.grid(row=0, column=0, sticky=\\\"W\\\", columnspan=int((self.cols-2)/2))\\n self.smileButton = tk.Label(self, image=self.images[1])\\n self.smileButton.grid(row=0, column=int((self.cols-2)/2), sticky=\\\"WE\\\", columnspan=2)\\n self.flagLabel = tk.Label(self, text=\\\"Flags: \\\"+str(self.numFlags))\\n self.flagLabel.grid(row=0, column=int((self.cols-2)/2)+2, sticky=\\\"E\\\", columnspan=int((self.cols-1)/2))\\n\\n #left click listeners on smileButton\\n self.smileButton.bind('<ButtonPress-1>', lambda event, num=0: self.changeSmile(num))\\n self.smileButton.bind('<ButtonRelease-1>', self.replay)\",\n \"def createFrame(self):\\n \\n self.outerFrame = f = Tk.Frame(self.frame)\\n f.pack(expand=1,fill=\\\"both\\\")\\n \\n if self.label:\\n labf = Tk.Frame(f)\\n labf.pack(pady=2)\\n lab = Tk.Label(labf,text=self.label)\\n lab.pack()\\n \\n f2 = Tk.Frame(f)\\n f2.pack(expand=1,fill=\\\"both\\\")\\n \\n self.box = box = Tk.Listbox(f2,height=20,width=30)\\n box.pack(side=\\\"left\\\",expand=1,fill=\\\"both\\\")\\n \\n bar = Tk.Scrollbar(f2)\\n bar.pack(side=\\\"left\\\", fill=\\\"y\\\")\\n \\n bar.config(command=box.yview)\\n box.config(yscrollcommand=bar.set)\",\n \"def updatemaxbombs(self):\\n tiles: int = int(self.widthbox.get()) * int(self.heightbox.get())\\n self.bombsbox.configure(to=tiles/2)\",\n \"def _set_boxes(self, listOfBoxes):\\n self._boxes = listOfBoxes\",\n \"def extra_frame(self):\\n\\n self.extraframe = tk.Frame(self.extra_notebook, bg='white')\\n self.extraframe.pack(anchor='center', expand=True, fill='y')\\n # RoHS checker\\n self.rohsframe = tk.Frame(self.extraframe, bg='#7093db')\\n self.rohsframe.pack(pady=10, fill='x', expand=True)\\n rohs = DoubleTextButton(self.rohsframe,\\n text_main='RoHS Bill of Materials Comparison',\\n text_sub='Output a delta report between two BOMS',\\n command=lambda: self.raiseframe_extra(ROHSCompare))\\n rohs.pack(fill='x', expand=True, side='right', padx=(4, 0))\\n # Format Checker\\n self.filterframe = tk.Frame(self.extraframe, bg='#7093db')\\n self.filterframe.pack(pady=10, fill='x', expand=True)\\n filtercheck = DoubleTextButton(self.filterframe,\\n text_main='Format Checker',\\n text_sub='Will output filtered CCL to check CCL format',\\n command=lambda: self.raiseframe_extra(FilterCompare))\\n filtercheck.pack(fill='x', expand=True, side='right', padx=(4, 0))\\n # Illustration tool\\n self.illtoolframe = tk.Frame(self.extraframe, bg='#7093db')\\n self.illtoolframe.pack(pady=10, fill='x', expand=True)\\n illustration_tool = DoubleTextButton(self.illtoolframe,\\n text_main='Illustration Tool',\\n text_sub='Used to insert and delete illustrations',\\n command=lambda: self.raiseframe_extra(InsertDelIllustration))\\n illustration_tool.pack(fill='x', expand=True, side='right', padx=(4, 0))\",\n \"def fillbox(self,event=None):\\n \\n pass\",\n \"def build_frames(self):\\n self.cntrl_frame = tk.PanedWindow(self.root)\\n self.cntrl_frame.pack(side = tk.TOP, padx = 1, pady = 1, fill = tk.Y)\\n self.info_frame_1 = tk.PanedWindow(self.root)\\n self.info_frame_1.pack(side = tk.TOP, padx = 1, pady = 2, fill = tk.Y)\",\n \"def _bbox_updated(self):\\n self.updated = True\",\n \"def updateFootprintBbox(self):\\n # Pull out the image bounds of the parent Footprint\\n self.bb = self.fp.getBBox()\\n if not self.imbb.contains(self.bb):\\n raise ValueError(('Footprint bounding-box %s extends outside image bounding-box %s') %\\n (str(self.bb), str(self.imbb)))\\n self.W, self.H = self.bb.getWidth(), self.bb.getHeight()\\n self.x0, self.y0 = self.bb.getMinX(), self.bb.getMinY()\\n self.x1, self.y1 = self.bb.getMaxX(), self.bb.getMaxY()\",\n \"def update(self):\\n self.active = False\\n self.top.update(self.rgb,self.cmyk,self.hsv)\\n self.bot.update(self.rgb,self.cmyk,self.hsv)\\n self.active = True\",\n \"def refreshActiveFrames(self, event=None):\\n self.unloadAllFrames()\\n self.checkFramesHaveData()\\n\\n try:\\n self.contentFrame.currFrame.built = False\\n except AttributeError:\\n pass\\n\\n try:\\n if self.contentFrame.currFrame.hasRequiredData():\\n self.contentFrame.currFrame.enter()\\n else:\\n self.frameBtnCmds[0](self)\\n except AttributeError:\\n self.frameBtnCmds[0](self)\",\n \"def load(self):\\n # Frame\\n self.frame.grid_configure(row=1, column=1, padx=(PAD, PAD+TINY_PAD), pady=(0, PAD+CANVAS_PAD), sticky=tk.N+tk.S)\\n self.frame.rowconfigure(1, weight=1)\\n self.frame.rowconfigure(3, weight=1)\\n # Across label\\n self.across_label.config(text=\\\"Across\\\", anchor=tk.W, **settings.get(\\\"style:clue\\\"))\\n self.across_label.grid(row=0, column=0, pady=(0, TINY_PAD), sticky=tk.N+tk.W)\\n # Across frame\\n self.across_frame.config(highlightthickness=1, highlightbackground=settings.get(\\\"style:border:fill\\\"))\\n self.across_frame.grid(row=1, pady=(CANVAS_PAD, PAD), sticky=tk.N+tk.S)\\n self.across_frame.rowconfigure(0, weight=1)\\n # Across listbox\\n self.across_listbox.config(bd=0, selectborderwidth=0, activestyle=tk.NONE, **settings.get(\\\"style:list\\\"))\\n self.across_listbox.grid(row=0, column=0, sticky=tk.N+tk.S)\\n self.across_listbox.config(yscrollcommand=self.across_scrollbar.set)\\n # Across scrollbar\\n self.across_scrollbar.config(command=self.across_listbox.yview)\\n self.across_scrollbar.grid(row=0, column=1, sticky=tk.N+tk.S)\\n # Down label\\n self.down_label.config(text=\\\"Down\\\", anchor=tk.W, **settings.get(\\\"style:clue\\\"))\\n self.down_label.grid(row=2, column=0, pady=(PAD, 0), sticky=tk.N+tk.W)\\n # Down frame\\n self.down_frame.config(highlightthickness=1, highlightbackground=settings.get(\\\"style:border:fill\\\"))\\n self.down_frame.grid(row=3, pady=(TINY_PAD, 0), sticky=tk.N+tk.S)\\n self.down_frame.rowconfigure(0, weight=1)\\n # Down listbox\\n self.down_listbox.config(bd=0, selectborderwidth=0, activestyle=tk.NONE, **settings.get(\\\"style:list\\\"))\\n self.down_listbox.grid(row=0, column=0, sticky=tk.N+tk.S)\\n self.down_listbox.config(yscrollcommand=self.down_scrollbar.set)\\n # Down scrollbar\\n self.down_scrollbar.config(command=self.down_listbox.yview)\\n self.down_scrollbar.grid(row=0, column=1, sticky=tk.N+tk.S)\",\n \"def create_frames(self):\\n self.list_frame = Frame(self.master)\\n self.list_frame.grid(row=0, column=0)\\n\\n self.volume_frame = VolumeFrame(master=self.master, text=\\\"Volume\\\")\\n self.volume_frame.grid(row=0, column=2, rowspan=2)\\n\\n self.btn_frame = Frame(self.master)\\n self.btn_frame.grid(row=1, column=0, padx=20)\\n\\n self.listbox = Listbox(self.list_frame, bg='black', fg='green', selectbackground='gray', selectforeground='black', selectmode=EXTENDED, width=48)\\n self.listbox.pack(fill=X, padx=20, pady=(20, 0))\\n self.slider = ttk.Scale(self.list_frame, value=0, from_=0, to=100, orient=HORIZONTAL, command=self.slide)\\n self.slider.pack(fill=X, padx=20)\\n\\n # setting images\\n global img_1, img_2, img_3, img_4, img_5\\n img_1 = ImageConverter.create_image(f'img/next.png', 40, 180)\\n img_2 = ImageConverter.create_image(f'img/play.png', 40, 0)\\n img_3 = ImageConverter.create_image(f'img/pause.png', 40, 0)\\n img_4 = ImageConverter.create_image(f'img/stop.png', 40, 0)\\n img_5 = ImageConverter.create_image(f'img/next.png', 40, 0)\\n\\n images = [{\\\"file\\\": img_1, \\\"command\\\": self.previous},\\n {\\\"file\\\": img_2, \\\"command\\\": self.play},\\n {\\\"file\\\": img_3, \\\"command\\\": self.pause},\\n {\\\"file\\\": img_4, \\\"command\\\": self.stop},\\n {\\\"file\\\": img_5, \\\"command\\\": self.next}]\\n\\n for index, image in enumerate(images):\\n self.btn = Button(self.btn_frame, image=image[\\\"file\\\"], command=image[\\\"command\\\"], relief=FLAT)\\n self.btn.grid(row=0, column=index, sticky=N+S+E+W, padx=8)\\n\\n self.info_frame = Frame(self.master)\\n self.info_frame.grid(row=2, column=0, sticky=S)\\n self.info_label = Label(self.info_frame, text=\\\"\\\", relief=SUNKEN, anchor=E, width=48)\\n self.info_label.pack(fill=X)\",\n \"def update_window(self, window, frame):\\n self.draw_eyes()\\n self.show(window, frame)\\n self.new_frame()\",\n \"def __init__(self, box):\\n self.is_hidden = False\\n self.last_boxes = []\\n self.best_box = None\\n self.frames_undetected = 0\\n self.age = 0\\n self.n_frames = 10\\n\\n self.update(box)\",\n \"def __update(self):\\n for b in self.__borders:\\n b.redraw()\\n\\n for w in self.__allWins:\\n w.refresh()\",\n \"def updateBlobs(self):\\n with signalsBlocked(self.param):\\n # with signalsBlocked(self.param):\\n inputs = self.inputs()\\n self.bottoms.setValue([i.name() for i in inputs.values()], clear=True)\\n outputs = self.outputs()\\n self.tops.setValue([o.name() for o in outputs.values()], clear=True)\\n self.updateProto()\",\n \"def _create_left_summary_frame(self):\\n self.frames.append(tk.Frame(self.master))\\n self.frames[6].grid(column=0, row=2, sticky=\\\"ew\\\")\\n self.getall_button = (tk.Button(self.frames[6],\\n text=\\\"All Indiv stats\\\"))\\n self.getall_button.grid(column=0, row=0, sticky=\\\"nesw\\\")\\n self.go_button = (tk.Button(self.frames[6], text=\\\"Team Stats\\\"))\\n self.go_button.grid(column=1, row=0, sticky=\\\"nesw\\\")\\n self.frames[6].columnconfigure(0, weight=1)\\n self.frames[6].columnconfigure(1, weight=1)\",\n \"def UpdateFrame(self, sender=None, args=None):\\n # Update label for sensor: s['label']\\n # with the most recent measurement: s().data['data'][-1]\\n for s in self.sensors:\\n self.gValue[s.GetID()].SetLabel( '{num} {unit}'.format(\\n num = s().data['data'][-1],\\n unit = str(s['unit'])) )\\n try:\\n pub.sendMessage( 'Plot.%s' %self.GetLabel() )\\n except:\\n self.plot_deleted = True\\n\\n \\n self.top_sizer.Layout()\",\n \"def update(self):\\n left_height = self.left.height if self.left else -1\\n right_height = self.right.height if self.right else -1\\n self.height = 1 + max(left_height, right_height)\\n self.bf = right_height - left_height\",\n \"def _initialize_widgets(self):\\n self.outer_board = [[Frame(self.root, bd = self.FRAME_BORDER_WIDTH, \\n relief = self.FRAME_RELIEF) \\n for _ in range(self.BOARD_DIM)] \\n for _ in range(self.BOARD_DIM)]\\n self.inner_boards = [[self._generate_inner_board(r, c) \\n for c in range(self.BOARD_DIM)]\\n for r in range(self.BOARD_DIM)]\",\n \"def _refresh_screen(self):\\n self.myscreen.refresh()\\n self.box1.refresh()\\n self.box2.refresh()\",\n \"def update_bbox(self): \\r\\n \\r\\n centX, centY = self.center\\r\\n\\r\\n brush_thickness = self.brush[0]\\r\\n\\r\\n margin = self.__size + brush_thickness + BOUNDARY_MARGIN\\r\\n\\r\\n self.bbox = [int(centX - margin), int(centY - margin),\\r\\n int(centX + margin), int(centY + margin)]\",\n \"def update_(self):\\n self.update_listbox()\\n self.update_infobox()\\n self.update_statusbar()\\n self.listbox.select_set(0)\\n self.listbox.focus_set()\",\n \"def main():\\n global fenetre, gr_grid,grid, chaine, var1, var2\\n fenetre = Frame()\\n \\n fenetre.grid()\\n fenetre.master.title('2048')\\n var1= StringVar()\\n var2= StringVar()\\n Checkbutton(fenetre, text=\\\"Entier\\\", width= 11, variable= var1, onvalue='oui', offvalue='non').grid(row=1, sticky=E)\\n Checkbutton(fenetre, text=\\\"Chimie\\\", width= 10, variable= var2, onvalue='oui', offvalue='non').grid(row=1, sticky=W)\\n \\n but1=Button(fenetre, text='Load', width= 11, command=grid_load1)\\n but1.grid(row= 2, sticky= W)\\n but2=Button(fenetre, text='Save', width= 11, command=grid_save1)\\n but2.grid(row=2, sticky= E)\\n fenetre.master.bind(\\\"<Key>\\\", key_pressed)\\n background = Frame(fenetre, bg = GAME_BG,\\n width=GAME_SIZE, height=GAME_SIZE)\\n background.grid()\\n chaine= Label(fenetre)\\n chaine.grid()\\n gr_grid = []\\n for i in range(4):\\n gr_line = []\\n for j in range(4):\\n cell = Frame(background, bg = TILE_EMPTY_BG,\\n width = TILES_SIZE, height = TILES_SIZE)\\n cell.grid(row=i, column=j,padx=1, pady=1)\\n t = Label(master = cell, text = \\\"\\\", bg = TILE_EMPTY_BG,\\n justify = CENTER, font = TILES_FONT,\\n width=4, height=2)\\n t.grid()\\n gr_line.append(t)\\n gr_grid.append(gr_line)\\n grid = grid_init()\\n grid_display(grid)\\n fenetre.mainloop()\",\n \"def createFrame(self):\\n \\n tkinterListBoxDialog.createFrame(self)\\n self.addFrameButtons()\",\n \"def refresh(self):\\n\\t\\tself.win.refresh()\\n\\t\\tfor c in self.components:\\n\\t\\t\\tc.refresh()\",\n \"def create_status_robot_frame(self):\\n\\n self.Robot_Status_Frame = tk.Frame(master=self)\\n self.Robot_Status_Frame.config(highlightthickness=1, highlightcolor=\\\"black\\\", highlightbackground=\\\"black\\\")\\n self.Robot_Status_Frame.pack(side = tk.LEFT, padx = 20, pady = 10, fill = tk.BOTH)\\n\\n status_lbl = tk.Label(master = self.Robot_Status_Frame, text = \\\"ROBOT STATUS\\\", width = 15)\\n status_lbl.pack(side = tk.TOP) \\n\\n self.lbl_pose_x = tk.StringVar()\\n self.lbl_pose_y = tk.StringVar()\\n self.lbl_angle = tk.StringVar()\\n self.lbl_status = tk.StringVar()\\n self.lbl_goto_x = tk.StringVar()\\n self.lbl_goto_y = tk.StringVar()\\n\\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \\\"X: \\\", label_target = self.lbl_pose_x)\\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \\\"Y: \\\", label_target = self.lbl_pose_y)\\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \\\"Angle: \\\", label_target = self.lbl_angle)\\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \\\"Status: \\\", label_target = self.lbl_status)\\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \\\"\\\", label_target = None)\\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \\\"next GOTO X: \\\", label_target = self.lbl_goto_x)\\n GUI_MAP.create_label_frame(master = self.Robot_Status_Frame, label_text = \\\"next GOTO Y: \\\", label_target = self.lbl_goto_y)\\n\\n\\n self.lbl_pose_x.set(\\\"N/A\\\")\\n self.lbl_pose_y.set(\\\"N/A\\\")\\n self.lbl_angle.set(\\\"N/A\\\")\\n self.lbl_status.set(\\\"N/A\\\")\\n self.lbl_goto_x.set(\\\"N/A\\\")\\n self.lbl_goto_y.set(\\\"N/A\\\")\",\n \"def onFrameUpdated(self):\\n pass\",\n \"def build_frames(dialbox):\\n #Buttons Frame\\n dialbox.button_frame = tk.Frame(dialbox.master_frame)\\n dialbox.button_frame.grid(row=3, column=1)\\n #Output Frame\\n dialbox.output_frame = tk.Frame(dialbox.master_frame)\\n dialbox.output_frame.grid(row=4, column=0, columnspan=2)\",\n \"def updateButtons(self):\\n self.cboxes = [] # List of check boxes\\n self.tboxes = [] # Corresponding list of text boxes\\n for r in range(self.nclasses):\\n c = 0\\n # print('**', self.clusters[r])\\n tbox = QLineEdit(self.clusters[r])\\n tbox.setMinimumWidth(80)\\n tbox.setMaximumHeight(150)\\n tbox.setStyleSheet(\\\"border: none;\\\")\\n tbox.setAlignment(Qt.AlignCenter)\\n tbox.textChanged.connect(self.updateClusterNames)\\n self.tboxes.append(tbox)\\n self.flowLayout.addWidget(self.tboxes[-1], r, c)\\n c += 1\\n cbox = QCheckBox(\\\"\\\")\\n cbox.clicked.connect(self.selectAll)\\n self.cboxes.append(cbox)\\n self.flowLayout.addWidget(self.cboxes[-1], r, c)\\n c += 1\\n # Find the segments under this class and show them\\n for segix in range(len(self.segments)):\\n if self.segments[segix][-1] == r:\\n self.flowLayout.addWidget(self.picbuttons[segix], r, c)\\n c += 1\\n self.picbuttons[segix].show()\\n self.flowLayout.adjustSize()\\n self.flowLayout.update()\\n self.setColourLevels()\",\n \"def update(self):\\n self.rect = (self.x, self.y, self.width, self.height)\",\n \"def build_boxes(self):\\n for index in self.box_space.points:\\n if self.rank_of_box[index] == self.my_rank:\\n self.my_boxes.append(Box(self, index))\",\n \"def update_selection(self):\\n\\n # clear all boxes\\n self.clear_boxes()\\n self.draw_figure(self.s)\\n\\n # update temperature list\\n if self.Data[self.s]['T_or_MW'] == \\\"T\\\":\\n self.temperatures = np.array(self.Data[self.s]['t_Arai']) - 273.\\n else:\\n self.temperatures = np.array(self.Data[self.s]['t_Arai'])\\n\\n self.T_list = [\\\"%.0f\\\" % T for T in self.temperatures]\\n self.tmin_box.SetItems(self.T_list)\\n self.tmax_box.SetItems(self.T_list)\\n self.tmin_box.SetValue(\\\"\\\")\\n self.tmax_box.SetValue(\\\"\\\")\\n self.Blab_window.SetValue(\\n \\\"%.0f\\\" % (float(self.Data[self.s]['pars']['lab_dc_field']) * 1e6))\\n if \\\"saved\\\" in self.Data[self.s]['pars']:\\n self.pars = self.Data[self.s]['pars']\\n self.update_GUI_with_new_interpretation()\\n self.Add_text(self.s)\\n self.write_sample_box()\",\n \"def addFrameButtons (self):\\n \\n self.buttonFrame = f = Tk.Frame(self.outerFrame)\\n f.pack()\\n \\n row1 = Tk.Frame(f)\\n row1.pack()\\n \\n # Create the back and forward buttons, cloning the images & commands of the already existing buttons.\\n image = self.lt_nav_iconFrame_button.cget(\\\"image\\\")\\n command = self.lt_nav_iconFrame_button.cget(\\\"command\\\")\\n \\n self.lt_nav_button = b = Tk.Button(row1,image=image,command=command)\\n b.pack(side=\\\"left\\\",pady=2,padx=5)\\n \\n image = self.rt_nav_iconFrame_button.cget(\\\"image\\\")\\n command = self.rt_nav_iconFrame_button.cget(\\\"command\\\")\\n \\n self.rt_nav_button = b = Tk.Button(row1,image=image,command=command)\\n b.pack(side=\\\"left\\\",pady=2,padx=5)\\n \\n row2 = Tk.Frame(f)\\n row2.pack()\\n self.addStdButtons(row2)\\n \\n row3 = Tk.Frame(f)\\n row3.pack()\\n \\n self.clear_button = b = Tk.Button(row3,text=\\\"Clear All\\\",\\n width=6,command=self.clearAll)\\n b.pack(side=\\\"left\\\",pady=2,padx=5)\\n \\n self.delete_button = b = Tk.Button(row3,text=\\\"Delete\\\",\\n width=6,command=self.deleteEntry)\\n b.pack(side=\\\"left\\\",pady=2,padx=5)\",\n \"def updateBox(self):\\n for k in vars(self.ml_classifier_cls):\\n if (not k.startswith('__')) and k != 'status' and k != 'model':\\n value = getattr(self.ml_classifier_cls, k)\\n self.parameters[k] = value\\n\\n rows = [widgets.HTML(value='<h3>Configure your backend machine learning model</h3>'\\n '<p>If you are not sure what the parameters are, just leave them as they are.</p>'\\n '<p>There are <b>' + str(\\n self.leftover) + '</b> samples left unreviewed. The ML model will retrain at a pace '\\n 'of once per <b>' + str(self.learning_pace) + '</b> samples.')]\\n for name, value in self.parameters.items():\\n if type(value) == int:\\n self.parameter_inputs[name] = widgets.BoundedIntText(description=name, value=value, min=-1)\\n rows.append(self.parameter_inputs[name])\\n elif type(value) == float:\\n self.parameter_inputs[name] = widgets.BoundedFloatText(description=name, value=value)\\n rows.append(self.parameter_inputs[name])\\n elif type(value) == str:\\n self.parameter_inputs[name] = widgets.Text(description=name, value=value)\\n rows.append(self.parameter_inputs[name])\\n\\n rows += self.addSeparator(top='10px') + self.addSeparator(\\n top='10px') + [self.addPreviousNext(self.show_previous, self.show_next)]\\n self.box = widgets.VBox(rows)\\n pass\",\n \"def _configure_canvas(event):\\n if self.internal_frame.winfo_reqwidth() != self.canvas.winfo_width():\\n## print \\\"frame\\\",self.internal_frame.winfo_reqwidth()\\n## print \\\"canvas\\\",self.canvas.winfo_width()\\n # update the inner frame's width to fill the canvas\\n## self.canvas.itemconfigure(interior_id, width=self.canvas.winfo_width())\\n self.canvas.config(width=self.internal_frame.winfo_reqwidth())\\n if self.internal_frame.winfo_reqheight() != self.canvas.winfo_height():\\n # update the inner frame's width to fill the canvas\\n## self.canvas.itemconfigure(interior_id, width=self.canvas.winfo_width())\\n self.canvas.config(height=self.internal_frame.winfo_reqheight())\",\n \"def change_frame(self, frame):\\r\\n pass\",\n \"def _refresh_render(self):\\n current_frame = self.frame\\n self.frame = int(1E6)\\n self.frame = current_frame\",\n \"def loop(self, frame):\\n self.root = frame\\n self.drawUI()\\n cv2.imshow('Fotopasca', self.root)\",\n \"def display_widgets(self):\\n self.f_left.pack(side=tk.LEFT, padx=20)\\n self.f_mid.pack(side=tk.LEFT)\\n self.f_right.pack(side=tk.LEFT, padx=10)\\n self.f_right_up.pack(side=tk.TOP)\\n self.f_right_down.pack(side=tk.TOP)\\n\\n self.f_y0.pack(side=tk.TOP)\\n self.l_y0.pack(side=tk.LEFT)\\n self.e_y0.pack(side=tk.LEFT, padx=10)\\n\\n self.f_x0.pack(side=tk.TOP)\\n self.l_x0.pack(side=tk.LEFT)\\n self.e_x0.pack(side=tk.LEFT, padx=10)\\n\\n self.f_X.pack(side=tk.TOP)\\n self.l_X.pack(side=tk.LEFT)\\n self.e_X.pack(side=tk.LEFT, padx=10)\\n\\n self.f_N.pack(side=tk.TOP)\\n self.l_N.pack(side=tk.LEFT)\\n self.e_N.pack(side=tk.LEFT, padx=10)\\n\\n self.f_solve.pack(side=tk.TOP, pady=20)\\n self.b_solve.pack(side=tk.TOP, fill=tk.BOTH, pady=5)\\n\\n self.f_Ni.pack(side=tk.TOP)\\n self.l_Ni.pack(side=tk.LEFT)\\n self.e_Ni.pack(side=tk.LEFT, padx=10)\\n\\n self.f_Nf.pack(side=tk.TOP)\\n self.l_Nf.pack(side=tk.LEFT)\\n self.e_Nf.pack(side=tk.LEFT, padx=9)\\n\\n self.f_glob_er.pack(side=tk.TOP, pady=20)\\n self.b_glob_er.pack(side=tk.TOP, fill=tk.BOTH, pady=5)\",\n \"def buildmainframe(self):\\n self.mainframewidgets=[]\\n for x in range(3):\\n thislabel = Label(self.mainframe, text=str(x))\\n thislabel.grid()\\n self.mainframewidgets.append(thislabel)\",\n \"def refresh_display(self):\\n for widget in self.button_frame.children.values():\\n widget.grid_forget() \\n\\n for (i, rd) in enumerate(self.row_detail_list):\\n rd.frame.grid(row=i)\",\n \"def create_flowbox(self, flowbox, frame_list):\\n\\n for num_frame in frame_list:\\n grid = Gtk.Grid()\\n btn = self.new_thumbnail_button(num_frame)\\n\\n widget_cls_label = Gtk.Label()\\n widget_cls_label.set_text(\\\"?\\\")\\n widget_cls_label.set_size_request(20, 20)\\n widget_cls_label.connect(\\\"draw\\\", self.area_on_draw, {'frame': num_frame, 'widget_label': widget_cls_label})\\n # Add drawing area\\n grid.add(btn)\\n grid.attach_next_to(widget_cls_label, btn, Gtk.PositionType.BOTTOM, 1, 2)\\n\\n flowbox.add(grid)\\n self.flowbox_layout = flowbox\",\n \"def _draw(self, frame, boxes, probs, landmarks, name):\\n try:\\n print('drawing')\\n for box, prob, ld, id in zip(boxes, probs, landmarks, name):\\n # Draw rectangle on frame\\n\\n cv2.putText(frame, id, (200, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2, cv2.LINE_AA)\\n\\n\\n except:\\n print('not draw box')\\n pass\\n\\n return frame\",\n \"def makeWidgets(self):\\r\\n self._frame = tk.Frame(self, relief=tk.RAISED, borderwidth=1)\\r\\n self._frame.pack(fill=tk.BOTH, expand=1)\\r\\n\\r\\n self.pack(fill=tk.BOTH, expand=1)\\r\\n\\r\\n self._frame._label1 = tk.Label(self._frame, text='----File Name----')\\r\\n self._frame._label1.pack(fill=tk.X, expand=tk.NO, pady=1, padx=2)\\r\\n self._frame._entry = tk.Entry(self._frame)\\r\\n self._frame._entry.pack(pady=2, padx=2)\\r\\n\\r\\n self._frame._label0 = tk.Label(self._frame, textvariable=self.timestr)\\r\\n self._setTime(self._elapsedtime)\\r\\n self._frame._label0.pack(fill=tk.X, expand=tk.NO, pady=3, padx=2)\\r\\n\\r\\n self._frame._label2 = tk.Label(self._frame, text='----Laps----')\\r\\n self._frame._label2.pack(fill=tk.X, expand=tk.NO, pady=4, padx=2)\\r\\n\\r\\n self._frame._scrollbar = tk.Scrollbar(self._frame, orient=tk.VERTICAL)\\r\\n self._frame._listbox = tk.Listbox(self._frame, selectmode=tk.EXTENDED, height=10,\\r\\n yscrollcommand=self._frame._scrollbar.set)\\r\\n self._frame._listbox.pack(side=tk.LEFT, fill=tk.BOTH, expand=1, pady=5, padx=2)\\r\\n self._frame._scrollbar.config(command=self._frame._listbox.yview)\\r\\n self._frame._scrollbar.pack(side=tk.RIGHT, fill=tk.Y)\",\n \"def crear_elements_viewer(self):\\n\\n self.p2_frame_list = tk.Frame(self.list_frame, borderwidth=2, relief=\\\"groove\\\")\\n self.p2_label_info = ttk.Label(self.p2_frame_list, text=self.lang.VP_PAC_ID, font=FONT_TITOL)\\n self.p2_label_info.pack()\\n scrollbar = tk.Scrollbar(self.p2_frame_list)\\n scrollbar.pack(side=tk.RIGHT, fill=tk.Y)\\n self.llista = tk.Listbox(self.p2_frame_list, yscrollcommand=scrollbar.set, width=15, height=7)\\n self.llista.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\\n scrollbar.config(command=self.llista.yview)\\n\\n self.p2_frame_list_1 = tk.Frame(self.list_frame, borderwidth=2, relief=\\\"groove\\\")\\n self.p2_label_info_1 = ttk.Label(self.p2_frame_list_1, text=self.lang.VP_LOC, font=FONT_TITOL)\\n self.p2_label_info_1.pack()\\n scrollbar_1 = tk.Scrollbar(self.p2_frame_list_1)\\n scrollbar_1.pack(side=tk.RIGHT, fill=tk.Y)\\n self.llista_1 = tk.Listbox(self.p2_frame_list_1, yscrollcommand=scrollbar_1.set, width=15, height=7)\\n self.llista_1.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\\n scrollbar_1.config(command=self.llista_1.yview)\\n\\n self.p2_frame_list_2 = tk.Frame(self.list_frame, borderwidth=2, relief=\\\"groove\\\")\\n self.p2_label_info_2 = ttk.Label(self.p2_frame_list_2, text=self.lang.VP_DATE, font=FONT_TITOL)\\n self.p2_label_info_2.pack()\\n scrollbar_2 = tk.Scrollbar(self.p2_frame_list_2)\\n scrollbar_2.pack(side=tk.RIGHT, fill=tk.Y)\\n self.llista_2 = tk.Listbox(self.p2_frame_list_2, yscrollcommand=scrollbar_2.set, width=15, height=7)\\n self.llista_2.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\\n scrollbar_2.config(command=self.llista_2.yview)\\n\\n self.evo_frame = tk.Frame(self.list_frame)\\n self.evo_button = ttk.Button(self.evo_frame, text=self.lang.VP_EVO, command=self.evo_selected)\\n self.evo_button.pack()\\n self.evo_button.pack_forget()\\n\\n\\n self.p2_frame_elements = tk.Frame(self.data_frame, borderwidth=2, relief=\\\"groove\\\")\\n self.p2_frame_img = tk.Frame(self.p2_frame_elements)\\n self.p2_frame_metadata = tk.Frame(self.p2_frame_elements, width = 20)\\n self.p2_label_metadata_code = tk.Label(self.p2_frame_metadata, text=\\\"\\\", font=FONT_MSG, width= 15, anchor=\\\"w\\\")\\n self.p2_label_metadata_code.pack(pady=5)\\n self.p2_label_metadata_grade = tk.Label(self.p2_frame_metadata, text=\\\"\\\", font=FONT_MSG, width=15, anchor=\\\"w\\\")\\n self.p2_label_metadata_grade.pack(pady=5)\\n self.p2_label_metadata_cm = ttk.Label(self.p2_frame_metadata, text=\\\"\\\", font=FONT_MSG, width=15, anchor=\\\"w\\\")\\n self.p2_label_metadata_cm.pack(pady=5)\\n self.assemble_img_frame()\",\n \"def reset():\\n for frame in added_items_frames:\\n frame.destroy()\\n added_item_comboboxes.clear()\\n added_item_quantity_spinboxes.clear()\\n hour_end_spinbox.delete(0, END)\\n hour_end_spinbox.insert(0, '1')\\n hour_start_spinbox.delete(0, END)\\n hour_start_spinbox.insert(0, '1')\\n minute_end_spinbox.delete(0, END)\\n minute_end_spinbox.insert(0, '0')\\n minute_start_spinbox.delete(0, END)\\n minute_start_spinbox.insert(0, '0')\\n item_combobox.set('')\\n item_quantity_spinbox.delete(0, END)\\n item_quantity_spinbox.insert(0, '0')\\n playstation_numbers_combobox.set('1')\\n playstation_prices_combobox.set('Single-20')\\n playstation_calculate_label.config(text='0.0')\\n playstation_pending_calculation_label.config(text='0.0')\",\n \"def _on_frame_changed(self, change):\\n self._set_coordinates(self.frame)\",\n \"def question_frame():\\r\\n global question_list_frame, add_question_Frame, quiz_frame\\r\\n\\r\\n # Forgetting these frames so they don't overlap and make things hard to read\\r\\n add_question_Frame.grid_forget()\\r\\n quiz_frame.grid_forget()\\r\\n one_person_quiz_frame.grid_forget()\\r\\n question_list_frame.grid_forget()\\r\\n\\r\\n # Creating the label and printing on the main gui the questions\\r\\n Label(question_list_frame, text=\\\"Question Pool\\\").grid(row=0,column=0)\\r\\n question_list_frame.grid(row=0, column=0, rowspan=7, columnspan=5, sticky=W)\",\n \"def makeWidgets(self):\\n # globals\\n global CARD_SIZE, card_images, card_back, card_sheet, pil_card_cropped, curr_card_image, xloc, d_yloc\\n \\n canvas.configure(background='green4') \\n canvas.pack()\\n # add buttons to the frame\\n tk.Button(root, text='Deal', command=self.deal).pack(side=\\\"left\\\")\\n tk.Button(root, text='Hit', command=self.hit).pack(side=\\\"left\\\")\\n tk.Button(root, text='Stay', command=self.stay).pack(side=\\\"left\\\")\\n # add label for dealer's hand\\n canvas_label_d = canvas.create_text(30, (d_yloc - CARD_SIZE[1]/2), anchor=\\\"sw\\\")\\n canvas.itemconfig(canvas_label_d, text=\\\"Dealer's hand: \\\")\\n # add label for player's hand\\n canvas_label_p = canvas.create_text(30, (p_yloc - CARD_SIZE[1]/2), anchor=\\\"sw\\\")\\n canvas.itemconfig(canvas_label_p, text=\\\"Player's hand: \\\")\\n # add label which updates outcome\\n tk.Label(root, textvariable=self.outcome, font=('Helvetica',12), fg='white', bg='black').pack(side=\\\"left\\\")\\n # add label for updating score\\n canvas_label_score = canvas.create_text(CANVAS_WIDTH - 50, 30, anchor=\\\"sw\\\")\\n canvas.itemconfig(canvas_label_score, text=self.score.get())\",\n \"def update(self, frame):\\n self.__update_state(frame)\\n\\n if self.strategy == \\\"mean\\\":\\n ax = np.mean(np.ravel(self.flow[...,0]))\\n ay = np.mean(np.ravel(self.flow[...,1]))\\n else:\\n ax = statistics.median(np.ravel(self.flow[...,0]))\\n ay = statistics.median(np.ravel(self.flow[...,1]))\\n\\n P = 1\\n new_x = int(self.bbox[0] + self.bbox[2] * ax * P)\\n new_y = int(self.bbox[1] + self.bbox[3] * ay * P)\\n self.bbox = (new_x, new_y, self.bbox[2], self.bbox[3])\\n return True, self.bbox\",\n \"def add_box(self):\\n self.scenes[self.current_scene].add_object(Box())\\n self.redraw()\",\n \"def updateWidget(self):\\n\\n if self.frame1.state() == 'normal':\\n self.frame2.deiconify()\\n self.frame1.withdraw()\\n else:\\n self.frame2.withdraw()\\n self.frame2.update()\\n self.frame2.deiconify()\\n self.frame1.title(\\\"%s's turn\\\" % self.usernames[1])\\n self.frame2.title(\\\"%s's turn\\\" % self.usernames[0])\\n showDialogBox(\\\"%s's turn first!\\\" % self.usernames[0])\\n self.frame1.update()\\n self.frame2.update()\",\n \"def update_board(self, mpos):\\n pass\",\n \"def fillbox(self,forceUpdate=False):\\n \\n # Only fill the box if the dialog is visible.\\n # This is an important protection against bad performance.\\n if not forceUpdate and self.top.state() != \\\"normal\\\":\\n return\\n \\n self.box.delete(0,\\\"end\\\")\\n c = self.c ; i = 0\\n self.positionList = [] ; tnodeList = []\\n for p in c.visitedList:\\n if p.exists(c) and p.v.t not in tnodeList:\\n self.box.insert(i,p.headString().strip())\\n tnodeList.append(p.v.t)\\n self.positionList.append(p.copy())\\n i += 1\",\n \"def createWidgets(self):\\n self.myFrame1 = Frame(self)\\n self.myFrame2 = Frame(self)\\n self.myFrame1.place(x = 100, y = 100)\\n self.myFrame2.place(x = 200, y = 100)\\n \\n self.Label1 = Label(self.myFrame1, text = \\\"Este es el Frame 1\\\")\\n self.Label2 = Label(self.myFrame2, text = \\\"Este es el Frame 2\\\")\\n self.Label1.place(x = 100, y = 0)\\n self.Label2.place(x = 100, y = 0)\\n \\n self.Button1 = Button(self, text = \\\"Dest 1\\\", command = exit)\\n self.Button2 = Button(self, text = \\\"Dest 2\\\", command = exit)\\n self.Button1.place(x = 200, y = 200)\\n self.Button2.place(x = 300, y = 200)\",\n \"def computeAndInsertBox(self,**kwargs):\\n if self.predefined_box is None:\\n self.mm.neglect()\\n return\\n (pose,new_frame) = self.baxter.frame.computeTransformation() \\n if pose is None:\\n self.mm.neglect()\\n return\\n \\n try:\\n side = kwargs['side']\\n except Exception,e:\\n rospy.logerr(\\\"%s\\\"%str(e))\\n self.mm.neglect()\\n return\\n else:\\n self.baxter.frame.setTF(self.predefined_box+'_'+side,pose)\\n self.baxter.frame.waitUntilFrameUpdate(self.predefined_box+\\\"_\\\"+side)\\n self.baxter.scene.createPredefinedBox(self.predefined_box+\\\"_\\\"+side,self.predefined_box)\\n if self.learning:\\n self.appendToTask(\\\"import tf_helper \\\\n\\\")\\n self.appendToTask(\\\"side='%s'\\\\n\\\"%(side))\\n self.appendToTask(\\\"baxter.bb.predefined_box='%s'\\\\n\\\"%(self.predefined_box))\\n self.appendToTask(\\\"pose = tf_helper.PS('%s',%s,%s)\\\\n\\\"%(FRAME_ORIGIN,list(pose.pose.position),list(pose.pose.orientation)))\\n self.appendToTask(\\\"baxter.frame.setTF('%s_'+side,pose)\\\\n\\\"%(self.predefined_box))\\n self.appendToTask(\\\"baxter.frame.waitUntilFrameUpdate('%s_'+side)\\\\n\\\"%(self.predefined_box))\\n self.appendToTask(\\\"baxter.scene.createPredefinedBox(baxter.bb.predefined_box+'_'+side,baxter.bb.predefined_box)\\\\n\\\")\\n if self.predefined_box == \\\"wako\\\" or self.predefined_box.startswith(\\\"tray\\\") is True or self.predefined_box.startswith(\\\"table\\\") is True:\\n self.appendToTask(\\\"for drop_off in baxter.scene.boxes[baxter.bb.predefined_box][1].keys():\\\\n\\\"%())\\n self.appendToTask(\\\" pose = tf_helper.PS('%s_'+side,%s,%s)\\\\n\\\"%(self.predefined_box,\\\"baxter.scene.boxes[baxter.bb.predefined_box][1][drop_off][0:3]\\\",\\\"baxter.scene.boxes[baxter.bb.predefined_box][1][drop_off][3:7]\\\"))\\n self.appendToTask(\\\" baxter.frame.setTF(drop_off+'_'+side,pose)\\\\n\\\")\\n if self.predefined_box == \\\"wako\\\" or self.predefined_box.startswith(\\\"tray\\\") is True or self.predefined_box.startswith(\\\"table\\\") is True:\\n for drop_off in self.baxter.scene.boxes[self.predefined_box][1].keys():\\n pose = PS(self.predefined_box+'_'+side,self.baxter.scene.boxes[self.predefined_box][1][drop_off][0:3],self.baxter.scene.boxes[self.predefined_box][1][drop_off][3:7])\\n self.baxter.frame.setTF(drop_off+'_'+side,pose)\\n self.mm.confirm()\",\n \"def updateWidget(self):\\n pass\",\n \"def OnSize(self, event):\\r\\n\\r\\n for pos, item in self._items.items():\\r\\n widget, horizontalalignment, verticalalignment = item.widget, item.horizontalalignment, item.verticalalignment\\r\\n\\r\\n rect = self.GetFieldRect(pos)\\r\\n widgetpos = widget.GetPosition()\\r\\n widgetsize = widget.GetSize()\\r\\n\\r\\n rect = self.GetFieldRect(pos)\\r\\n\\r\\n if horizontalalignment == ESB_EXACT_FIT:\\r\\n if verticalalignment == ESB_EXACT_FIT:\\r\\n widget.SetSize((rect.width-2, rect.height-2))\\r\\n widget.SetPosition((rect.x-1, rect.y-1))\\r\\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\\r\\n if widgetsize[1] < rect.width - 1:\\r\\n diffs = (rect.height - widgetsize[1])/2\\r\\n widget.SetSize((rect.width-2, widgetsize[1]))\\r\\n widget.SetPosition((rect.x-1, rect.y+diffs))\\r\\n else:\\r\\n widget.SetSize((rect.width-2, widgetsize[1]))\\r\\n widget.SetPosition((rect.x-1, rect.y-1))\\r\\n elif verticalalignment == ESB_ALIGN_TOP:\\r\\n widget.SetSize((rect.width-2, widgetsize[1]))\\r\\n widget.SetPosition((rect.x-1, rect.y))\\r\\n elif verticalalignment == ESB_ALIGN_BOTTOM:\\r\\n widget.SetSize((rect.width-2, widgetsize[1]))\\r\\n widget.SetPosition((rect.x-1, rect.height-widgetsize[1]))\\r\\n\\r\\n elif horizontalalignment == ESB_ALIGN_LEFT:\\r\\n\\r\\n xpos = rect.x - 1\\r\\n if verticalalignment == ESB_EXACT_FIT:\\r\\n widget.SetSize((widgetsize[0], rect.height-2))\\r\\n widget.SetPosition((xpos, rect.y-1))\\r\\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\\r\\n if widgetsize[1] < rect.height - 1:\\r\\n diffs = (rect.height - widgetsize[1])/2\\r\\n widget.SetPosition((xpos, rect.y+diffs))\\r\\n else:\\r\\n widget.SetSize((widgetsize[0], rect.height-2))\\r\\n widget.SetPosition((xpos, rect.y-1))\\r\\n elif verticalalignment == ESB_ALIGN_TOP:\\r\\n widget.SetPosition((xpos, rect.y))\\r\\n elif verticalalignment == ESB_ALIGN_BOTTOM:\\r\\n widget.SetPosition((xpos, rect.height-widgetsize[1]))\\r\\n\\r\\n elif horizontalalignment == ESB_ALIGN_RIGHT:\\r\\n\\r\\n xpos = rect.x + rect.width - widgetsize[0] - 1\\r\\n if verticalalignment == ESB_EXACT_FIT:\\r\\n widget.SetSize((widgetsize[0], rect.height-2))\\r\\n widget.SetPosition((xpos, rect.y-1))\\r\\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\\r\\n if widgetsize[1] < rect.height - 1:\\r\\n diffs = (rect.height - widgetsize[1])/2\\r\\n widget.SetPosition((xpos, rect.y+diffs))\\r\\n else:\\r\\n widget.SetSize((widgetsize[0], rect.height-2))\\r\\n widget.SetPosition((xpos, rect.y-1))\\r\\n elif verticalalignment == ESB_ALIGN_TOP:\\r\\n widget.SetPosition((xpos, rect.y))\\r\\n elif verticalalignment == ESB_ALIGN_BOTTOM:\\r\\n widget.SetPosition((xpos, rect.height-widgetsize[1]))\\r\\n\\r\\n elif horizontalalignment == ESB_ALIGN_CENTER_HORIZONTAL:\\r\\n\\r\\n xpos = rect.x + (rect.width - widgetsize[0])/2 - 1\\r\\n if verticalalignment == ESB_EXACT_FIT:\\r\\n widget.SetSize((widgetsize[0], rect.height))\\r\\n widget.SetPosition((xpos, rect.y))\\r\\n elif verticalalignment == ESB_ALIGN_CENTER_VERTICAL:\\r\\n if widgetsize[1] < rect.height - 1:\\r\\n diffs = (rect.height - widgetsize[1])/2\\r\\n widget.SetPosition((xpos, rect.y+diffs))\\r\\n else:\\r\\n widget.SetSize((widgetsize[0], rect.height-1))\\r\\n widget.SetPosition((xpos, rect.y+1))\\r\\n elif verticalalignment == ESB_ALIGN_TOP:\\r\\n widget.SetPosition((xpos, rect.y))\\r\\n elif verticalalignment == ESB_ALIGN_BOTTOM:\\r\\n widget.SetPosition((xpos, rect.height-widgetsize[1]))\\r\\n\\r\\n if event is not None:\\r\\n event.Skip()\",\n \"def __init__(self):\\r\\n Frame.__init__(self)\\r\\n self.master.title(\\\"GUIs drawing geometric shapes\\\")\\r\\n self.grid()\\r\\n\\r\\n #create a canvas and place in this frame\\r\\n self.canvas = Canvas(self, width = 300, height = 400)\\r\\n self.canvas.grid(row = 0, column = 0)\\r\\n\\r\\n self.canvas.create_rectangle(100, 50, 200, 350)\\r\\n self.canvas.create_oval(100, 50, 200, 150,\\r\\n fill = \\\"white\\\", tags = \\\"RED\\\")\\r\\n self.canvas.create_oval(100, 150, 200, 250,\\r\\n fill = \\\"white\\\", tags = \\\"YELLOW\\\")\\r\\n self.canvas.create_oval(100, 250, 200, 350,\\r\\n fill = \\\"green\\\", tags = \\\"GREEN\\\")\\r\\n\\r\\n \\r\\n dx = 1\\r\\n while True:\\r\\n self.canvas.after(2000) # Sleep for 15 milliseconds\\r\\n self.canvas.update() # Update canvas\\r\\n if dx == 1:\\r\\n self.canvas.itemconfigure(\\\"YELLOW\\\", fill = \\\"yellow\\\")\\r\\n self.canvas.itemconfigure(\\\"GREEN\\\", fill = \\\"white\\\")\\r\\n dx += 1\\r\\n elif dx == 2:\\r\\n self.canvas.itemconfigure(\\\"RED\\\", fill = \\\"red\\\")\\r\\n self.canvas.itemconfigure(\\\"YELLOW\\\", fill = \\\"white\\\")\\r\\n dx += 1 \\r\\n else:\\r\\n self.canvas.itemconfigure(\\\"RED\\\", fill = \\\"white\\\")\\r\\n self.canvas.itemconfigure(\\\"GREEN\\\", fill = \\\"green\\\")\\r\\n dx = 1\",\n \"def update_frame_label(self):\\n count = len(self.main_frame_list)\\n\\n for idx in range(count): #Start, count) \\n s1 = \\\"\\\"\\n for i in range(16): #self.main_frame_nibble_list: # 16\\n s = \\\"\\\"\\n for j in range(4):\\n s += str(self.main_button_bit_list[idx][i*4 + j].get_label())\\n s = s[::-1]\\n self.main_frame_nibble_list[idx][i].set_label(str(hex(int(s,2)))[2:].upper())\\n s1 += str(self.main_frame_nibble_list[idx][i].get_label())\\n s1 = s1[::-1]\\n if DEBUG: print(s1[:8] + \\\" \\\" + s1[8:])\\n self.main_frame_list[idx].set_label(s1[:8] + \\\" \\\" + s1[8:])\",\n \"def body(self, frame):\\n frame.rowconfigure(0, weight=0, pad=5)\\n frame.rowconfigure(1, weight=0)\\n frame.columnconfigure(0, weight=0)\\n frame.columnconfigure(1, weight=0)\\n\\n self.name_label = tk.Label(frame, width=6, text=\\\"Name: \\\")\\n self.name_label.grid(column=0, row=0)\\n\\n self.name_box = tk.Entry(frame, width=30)\\n if self.name != \\\"\\\":\\n self.name_box.insert(0, self.name)\\n self.name_box.grid(column=1, row=0)\\n\\n self.url_label = tk.Label(frame, width=6, text=\\\"URL: \\\")\\n self.url_label.grid(column=0, row=1)\\n self.url_box = tk.Entry(frame, width=30)\\n if self.url != \\\"\\\":\\n self.url_box.insert(0, self.url)\\n self.url_box.grid(column=1, row=1)\\n return frame\",\n \"def update_species_frames(self):\\n pass\",\n \"def config_frames(self):\\n self.root.grid_rowconfigure(1, weight=1)\\n self.root.grid_columnconfigure(1, weight=1)\\n\\n self.top_frame = tkinter.Frame(self.root, pady=1)\\n self.top_frame.grid(row=0, columnspan=2, sticky='nsew')\",\n \"def update(self):\\n self.platform_list.update()\\n self.exit_sprite.update()\\n self.bagGroup.update()\\n self.enemy_list.update()\",\n \"def initialize(self):\\n self.frame = Frame(master=self.root)\\n reslut_text = Label(master=self.frame, text=\\\"Tulokset\\\")\\n reslut_text.config(font=(\\\"Courier\\\", 44))\\n reslut_text.grid(row=0, column=0)\\n amount_correct_text = Label(master=self.frame, text=\\\"Oikeat arvaukset:\\\")\\n amount_correct_text.config(font=(\\\"Courier\\\", 20))\\n amount_correct_text.grid(row=1, column=0)\\n\\n \\\"\\\"\\\"geting the amount of correct guesses from gamesta class and showing it\\\"\\\"\\\"\\n correct_amount, comparison = self.gamestate.get_result()\\n full_amount = self.gamestate.get_deck_size()\\n result_amount_text = Label(master=self.frame, text=(str(correct_amount)+ \\\"/\\\" +str(full_amount)))\\n result_amount_text.config(font=(\\\"Courier\\\", 20))\\n result_amount_text.grid(row=1, column=1)\\n\\n \\\"\\\"\\\"More text on page\\\"\\\"\\\"\\n theese_wrong_text = Label(master=self.frame, text=\\\"Tässä oikea rivi: \\\")\\n theese_wrong_text.config(font=(\\\"Courier\\\", 20))\\n theese_wrong_text.grid(row=3, column=0)\\n player_answers_text = Label(master=self.frame, text=\\\"Näin sinä vastasit: \\\")\\n player_answers_text.config(font=(\\\"Courier\\\", 20))\\n player_answers_text.grid(row=5, column=0)\\n\\n sf_correct = ScrollableFrame(self.frame)\\n sf_user = ScrollableFrame(self.frame)\\n\\n for i in range(len(comparison)):\\n \\\"\\\"\\\"Using scrollable frame to show the right answers\\n and guesses (pictures of cards) made by player\\\"\\\"\\\"\\n is_correct, correct_card, user_card = comparison[i]\\n text = \\\"vastasit:\\\\noikein\\\" if is_correct else \\\"vastasit:\\\\nväärin\\\"\\n color = \\\"green\\\" if is_correct else \\\"red\\\"\\n img = create_card_image(sf_correct.scrollable_frame, correct_card, 50,100)\\n img.grid(row=0, column=i)\\n label = Label(master=sf_correct.scrollable_frame, text= text, fg = color)\\n label.grid(row=1,column=i)\\n img = create_card_image(sf_user.scrollable_frame, user_card, 50,100)\\n img.grid(row=0, column=i)\\n label = Label(master=sf_user.scrollable_frame, text= text, fg = color)\\n label.grid(row=1,column=i)\\n sf_correct.grid(row=4, column=0)\\n sf_user.grid(row=6, column=0)\\n\\n \\\"\\\"\\\"Buttons for navigation\\\"\\\"\\\"\\n new_game_button = Button(master=self.frame, text=\\\"Uusi peli\\\", command = self.handle_show_game_settings)\\n frontpage_button = Button(master=self.frame, text=\\\"Päävalikkoon\\\", command = self.handle_show_frontpage_view)\\n new_game_button.grid(padx=5, pady=5, sticky=constants.EW)\\n frontpage_button.grid(padx=5, pady=5, sticky=constants.EW)\",\n \"def update_bboxes(self, ths):\\n # find bboxes based on thresholded heatmap\\n labels, n_labels = scipy.ndimage.measurements.label(ths)\\n detected_bboxes = list()\\n for car_label in range(1, n_labels + 1):\\n nonzero = (labels == car_label).nonzero()\\n bbox = ((np.min(nonzero[1]), np.min(nonzero[0])),\\n (np.max(nonzero[1]), np.max(nonzero[0])))\\n detected_bboxes.append(bbox)\\n self.detected_bboxes = detected_bboxes\\n\\n # match new and previous detections\\n N_known = len(self.averaged_bboxes)\\n N_new = len(detected_bboxes)\\n dmatrix = np.zeros((N_known, N_new))\\n for i in range(N_known):\\n for j in range(N_new):\\n dmatrix[i,j] = bbox_dist(\\n self.averaged_bboxes[i],\\n detected_bboxes[j])\\n row_ind, col_ind = scipy.optimize.linear_sum_assignment(dmatrix)\\n # only consider matches whose centroids are close\\n mask = dmatrix[row_ind, col_ind] < self.centroid_radius\\n matched_row_ind = row_ind[mask]\\n matched_col_ind = col_ind[mask]\\n # update moving average \\n for i, j in zip(matched_row_ind, matched_col_ind):\\n avg_bbox = self.averaged_bboxes[i]\\n new_bbox = detected_bboxes[j]\\n self.averaged_bboxes[i] = update_bbox(avg_bbox, new_bbox, self.decay)\\n\\n # remove bounding boxes which are not present anymore\\n self.averaged_bboxes = [bbox for i, bbox in enumerate(self.averaged_bboxes) if i in matched_row_ind]\\n # add new bounding boxes\\n for j in range(N_new):\\n if not j in matched_col_ind:\\n self.averaged_bboxes.append(detected_bboxes[j])\",\n \"def update(self):\",\n \"def update(self):\",\n \"def update(self):\",\n \"def update(self):\\r\\n self.rect = pygame.Rect(self.x, self.y, self.width, self.height)\",\n \"def __init__(self):\\n self.master = Tk()\\n self.master.title(\\\"Brick Breaker\\\")\\n self.master.geometry(\\\"800x600\\\")\\n self.master.minsize(800, 600)\\n self.master.iconbitmap(\\\"data/wall.ico\\\")\\n self.master.config(background=\\\"lightblue\\\")\\n self.frame = Frame(self.master, bg='lightblue')\\n self.littleFrame = Frame(self.frame, bg='lightblue')\\n\\n # creation des composants\\n self.create_title()\\n self.create_play_button()\\n self.create_quit_button()\\n\\n # empaquetage\\n self.littleFrame.pack(expand=YES, pady=100)\\n self.frame.pack(expand=YES)\",\n \"def __init__(self, master=None):\\n\\t\\ttkinter.Frame.__init__(self, master)\\n\\t\\tself.master.title('ES Color Chooser')\\n\\t\\tself.grid()\\n\\n\\t\\t# create central block of color samples\\n\\t\\tself.labels = [[None for _ in range(3)] for _ in range(3)]\\n\\t\\tfor (col, row) in itertools.product(range(3), range(3)):\\n\\t\\t\\tlabel = tkinter.Label(self, width=20, height=10, bg='#FFFFFF')\\n\\t\\t\\tlabel.bind('<ButtonRelease-1>', self.clicked)\\n\\t\\t\\tlabel.grid(column=col, row=row, padx=1, pady=1)\\n\\t\\t\\tself.labels[row][col] = label\\n\\t\\tself.center = self.labels[1][1]\\n\\n\\t\\t# create side pane with buttons and history\\n\\t\\tside = tkinter.Frame(self)\\n\\t\\tside.grid(row=0, column=3, rowspan=3)\\n\\t\\ttkinter.Button(side, text='Select new Color', command=self.select_color).pack(side='top')\\n\\t\\tself.sigma = tkinter.Scale(side, label='Sigma', orient='horizontal', from_=1, to=25)\\n\\t\\tself.sigma.pack(side='top')\\n\\t\\tself.sigma.set(10)\\n\\t\\ttkinter.Label(side, text='Current color').pack(side='top')\\n\\t\\tself.current = tkinter.StringVar()\\n\\t\\tcurrent = tkinter.Entry(side, justify='center', textvariable=self.current)\\n\\t\\tcurrent.pack(side='top')\\n\\t\\ttkinter.Label(side, text='History').pack(side='top')\\n\\t\\tself.history = tkinter.Listbox(side, height='16', bg='white', activestyle='dotbox')\\n\\t\\tself.history.bind('<ButtonRelease-1>', self.clicked)\\n\\t\\tself.history.pack(side='top')\",\n \"def _sync_gui(self):\\n self._update_buttons()\\n\\n self.turn_value_label.config(text=self.turn_value_text)\\n self.selected_piece_value_label.config(text=self.selected_piece_value_text)\\n\\n self.update()\",\n \"def _configure_interior(event):\\n # update the scrollbars to match the size of the inner frame\\n size = (self.internal_frame.winfo_reqwidth(), self.internal_frame.winfo_reqheight())\\n self.canvas.config(scrollregion=\\\"0 0 %s %s\\\" % size)\\n if self.internal_frame.winfo_reqwidth() != self.canvas.winfo_width():\\n # update the canvas's width to fit the inner frame\\n self.canvas.config(width=self.internal_frame.winfo_reqwidth())\\n if self.internal_frame.winfo_reqheight() != self.canvas.winfo_height():\\n # update the canvas's width to fit the inner frame\\n self.canvas.config(height=self.internal_frame.winfo_reqheight())\",\n \"def update(self, *args, **kwargs):\\r\\n \\r\\n if self.changed:\\r\\n \\r\\n for e in self.entries + self.bottom_entries:\\r\\n e.changed = True\\r\\n \\r\\n if self.title is not None:\\r\\n title_size = list(self.font.size(self.title))\\r\\n title_size[1] = self.font.get_height()\\r\\n else:\\r\\n title_size = (0,0)\\r\\n \\r\\n self.min_button_size = self.calculate_min_button_size()\\r\\n self.min_bottom_button_size = self.calculate_min_bottom_button_size()\\r\\n \\r\\n if len(self.bottom_entries) == 0:\\r\\n bottom_buttons_spacing = 0\\r\\n else:\\r\\n bottom_buttons_spacing = self.min_bottom_button_size[1] \\\\\\r\\n + self.button_vspacing\\r\\n \\r\\n button_vstep = self.min_button_size[1] + self.button_vspacing\\r\\n button_hstep = self.min_bottom_button_size[0] + self.button_hspacing\\r\\n \\r\\n buttons_rect = Rect(\\r\\n 0,\\r\\n 0,\\r\\n max(self.min_button_size[0],\\r\\n button_hstep * len(self.bottom_entries) - self.button_hspacing,\\r\\n title_size[0]),\\r\\n button_vstep * len(self.entries) - self.button_vspacing\\r\\n )\\r\\n \\r\\n buttons_rect.center = self.screen_rect.center\\r\\n \\r\\n \\r\\n bg_rect = buttons_rect.inflate(self.h_inborders \\\\\\r\\n + self.right_space,\\r\\n self.v_inborders \\\\\\r\\n + self.top_space \\\\\\r\\n + self.bottom_space \\\\\\r\\n + bottom_buttons_spacing\\\\\\r\\n + title_size[1])\\r\\n buttons_rect.x = bg_rect.x + self.h_inborders // 2\\r\\n buttons_rect.y = bg_rect.y \\\\\\r\\n + self.v_inborders // 2 \\\\\\r\\n + self.top_space \\\\\\r\\n + title_size[1]\\r\\n \\r\\n bottom_buttons_rect = Rect(bg_rect.x + self.h_inborders // 2,\\r\\n buttons_rect.bottom \\\\\\r\\n + self.button_vspacing,\\r\\n bg_rect.w - self.h_inborders,\\r\\n self.min_bottom_button_size[1]\\r\\n )\\r\\n \\r\\n for i, entry in enumerate(self.entries):\\r\\n entry.rect = Rect(buttons_rect.x,\\r\\n buttons_rect.y + i*button_vstep,\\r\\n self.min_button_size[0],\\r\\n self.min_button_size[1])\\r\\n entry.rect.centerx = buttons_rect.centerx\\r\\n \\r\\n self.bottom_button_align.align(bottom_buttons_rect,\\r\\n self.bottom_entries,\\r\\n self.button_hspacing,\\r\\n self.min_bottom_button_size)\\r\\n \\r\\n self.background.image = \\\\\\r\\n self.render_background(bg_rect.w, bg_rect.h)\\r\\n self.background.rect = bg_rect\\r\\n \\r\\n self.buttons_rect = buttons_rect\\r\\n \\r\\n self.changed = False\\r\\n \\r\\n super().update(*args, **kwargs)\",\n \"def frame(self):\",\n \"def update(self):\\n self.board.update()\",\n \"def draw_boxes(self, im, boxes):\\n for bbox in boxes:\\n l = [int(x) for x in bbox[\\\"coords\\\"]]\\n l = self.scalebox(l)\\n icon = self.classes_to_icons[bbox[\\\"label\\\"]]\\n overlay_im_to_background(im, icon, l[0], l[1] - icon.shape[0] - 5)\\n cv2.rectangle(im,(l[0],l[1]),(l[2],l[3]),self.color,2)\",\n \"def _update_boxes(self, x,y):\\n\\t\\talloc = self.alloc2img()\\n\\t\\t\\n\\t\\tif not rect_contains(alloc, x,y):\\n\\t\\t\\t# The mouse has left the widget\\n\\t\\t\\tself._changed_rect = None\\n\\t\\t\\tself._boxes_under_cursor = []\\n\\t\\t\\treturn True\\n\\t\\t\\n\\t\\tif self._changed_rect is None or not rect_contains(self._changed_rect, x, y):\\n\\t\\t\\tif len(self.model) == 0: return False\\n\\t\\t\\t# The mouse left the common area\\n#\\t\\t\\tif __debug__: print '(%i,%i)' % (x,y),\\n\\t\\t\\t\\n#\\t\\t\\tif __debug__: print \\\"Old rect:\\\", tuple(self._changed_rect) if self._changed_rect is not None else self._changed_rect,\\n\\t\\t\\tself._changed_rect = None\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t# Calculate new boxes\\n\\t\\t\\tnewboxes = self.find_boxes_under_coord(x,y)\\n\\t\\t\\tself._boxes_under_cursor = newboxes\\n#\\t\\t\\tif __debug__: print \\\"newboxes:\\\", newboxes,\\n\\t\\t\\t\\n\\t\\t\\t# Update the caching rectangle\\n\\t\\t\\tif len(newboxes):\\n\\t\\t\\t\\tchanged = newboxes[0].rect\\n\\t\\t\\telse: # Outside of any boxes, use allocation\\n\\t\\t\\t\\tchanged = alloc\\n\\t\\t\\tfor b in newboxes[1:]:\\n\\t\\t\\t\\tchanged = changed.intersect(b.rect)\\n\\t\\t\\tfor r in self.model:\\n\\t\\t\\t\\tb = r[self.box_col]\\n\\t\\t\\t\\tif b not in newboxes:\\n\\t\\t\\t\\t\\tchanged = rect_diff(changed, b.rect, (x,y))\\n\\t\\t\\tif changed == alloc: # This is so extrodinarily BAD that we should test for it.\\n\\t\\t\\t\\t# It's bad because if it were true, the cache would never clear\\n\\t\\t\\t\\tfrom warnings import warn\\n\\t\\t\\t\\twarn(\\\"The chosen change rect was the allocation. THIS SHOULD'T HAPPEN.\\\")\\n\\t\\t\\t\\tchanged = None\\n\\t\\t\\tif __debug__: print \\\"Change rect:\\\", changed\\n\\t\\t\\tself._changed_rect = changed\\n\\t\\t\\tassert changed is None or rect_contains(changed, x,y)\\n\\t\\t\\tif __debug__: self.queue_draw()\\n\\t\\t\\treturn True\\n\\t\\telse:\\n\\t\\t\\treturn False\",\n \"def __call__(self):\\n self.brain._update_fscale(self.factor)\\n for key in self.brain.keys:\\n if self.widgets[key] is not None:\\n self.widgets[key].set_value(self.brain._data[key])\",\n \"def _update_frame(self):\\n # check if continue\\n if self._keep_updating:\\n self.__frame = self._cam.get_display_frame()\\n if self.__frame is not None:\\n self._cvn_camera_viewfinder.create_image(0, 0, image=self.__frame, anchor=tk.NW)\\n\\n self._root.after(self._delay, self._update_frame)\",\n \"def __init__(self, master, num_pokemon):\\n super().__init__(master)\\n self._num_pokemon = num_pokemon\\n self._master = master\\n self.pokeballs = 0\\n\\n #insert image of pokeball\\n frame1 = tk.Frame(self._master)\\n frame1.pack(side=tk.LEFT)\\n\\n self.ballimage = tk.PhotoImage(file=\\\"./images/full_pokeball.gif\\\")\\n self.ball = tk.Label(frame1, image=self.ballimage)\\n self.ball.pack(side=tk.LEFT)\\n\\n self.balls = frame1\\n self.ballup = tk.Label(self.balls, text=f'{self.pokeballs} attemped catches')\\n self.ballup.pack(side=tk.TOP)\\n self.balldown = tk.Label(self.balls, text=f'{self._num_pokemon - self.pokeballs} pokeballs left')\\n self.balldown.pack(side=tk.BOTTOM)\\n self.balls.pack(side=tk.LEFT)\\n\\n #insert image of clock\\n frame2 = tk.Frame(self._master)\\n frame2.pack(side=tk.LEFT)\\n\\n self.clockimage = tk.PhotoImage(file=\\\"./images/clock.gif\\\")\\n self.clock = tk.Label(frame2, image=self.clockimage)\\n self.clock.pack(side=tk.LEFT)\\n\\n #insert the button of \\\"New game\\\" and \\\" Restart game\\\"\\n self.buttons = tk.Frame(self)\\n self.n = tk.Button(self.buttons, text=\\\"New game\\\")\\n self.r = tk.Button(self.buttons, text=\\\"Restart game\\\")\\n self.n.pack(side=tk.TOP)\\n self.r.pack(side=tk.BOTTOM)\\n self.buttons.pack(side=tk.RIGHT)\",\n \"def _updateBoundingRect(self):\\n self.setPen(QPen(Qt.NoPen))\\n self.setRect(self.childrenBoundingRect())\\n # move and show or hide the buttons if necessary\\n addButton = self._addBasesButton\\n rmButton = self._removeBasesButton\\n if len(self._virtualHelixItemList) > 0:\\n addRect = addButton.boundingRect()\\n rmRect = rmButton.boundingRect()\\n x = self._vHRect.right()\\n y = -styles.PATH_HELIX_PADDING\\n addButton.setPos(x, y)\\n rmButton.setPos(x-rmRect.width(), y)\\n addButton.show()\\n rmButton.show()\\n else:\\n addButton.hide()\\n rmButton.hide()\",\n \"def __init__(self):\\n self.window = Tk()\\n self.window.title(\\\"Brick Breaker\\\")\\n self.window.attributes(\\\"-fullscreen\\\", True)\\n self.window.iconbitmap(\\\"data/wall.ico\\\")\\n self.window.config(background=\\\"light blue\\\")\\n\\n # initialization des composants\\n self.frame = Frame(self.window, bg='light blue')\\n self.littleFrame = Frame(self.frame, bg='light blue')\\n self.littleFrame_bis = LabelFrame(self.frame, bg='light blue', text=\\\"USER NAME\\\")\\n\\n # creation des composants\\n self.create_title()\\n self.create_subtitle()\\n self.create_play_button()\\n self.create_quit_button()\\n\\n # empaquetage\\n self.littleFrame_bis.pack(expand=YES, pady=30)\\n self.littleFrame.pack(expand=YES, pady=50)\\n self.frame.pack(expand=YES, fill=BOTH, pady=200)\",\n \"def slider_frames_changed(self):\\n\\n # Again, please note the difference between indexing and GUI displays.\\n index = self.slider_frames.value() - 1\\n\\n # Differentiate between frame ordering (by quality or chronologically).\\n if self.frame_ordering == \\\"quality\\\":\\n self.frame_index = self.quality_sorted_indices[index]\\n self.quality_index = index\\n\\n else:\\n self.frame_index = index\\n self.quality_index = self.rank_indices[self.frame_index]\\n\\n # Adjust the frame list and select the current frame.\\n\\n self.listWidget.setCurrentRow(index, QtCore.QItemSelectionModel.SelectCurrent)\\n\\n # Update the image in the viewer.\\n self.frame_selector.setPhoto(self.frame_index)\\n self.listWidget.setFocus()\",\n \"def redraw(self):\\n bpy.context.scene.objects.active = bpy.context.scene.objects.active\",\n \"def update_gui(self):\\n for where, updates in self.gui_updates.items():\\n self.window[where].update(**updates)\\n self.gui_updates = {}\",\n \"def buttonbox(self):\\n\\n box = Frame(self)\\n b = Button(box, text=\\\"OK\\\", width=10, command=self.ok, default=ACTIVE)\\n b.pack(side=LEFT, padx=5, pady=5)\\n #w = Button(box, text=\\\"Cancel\\\", width=10, command=self.cancel)\\n a= Button(box, text=\\\"Autofill\\\", width=10, command=self.auto_populate, default=ACTIVE)\\n a.pack(side=LEFT, padx=5, pady=5)\\n #w.pack(side=LEFT, padx=5, pady=5)\\n #w[\\\"state\\\"] = DISABLED\\n\\n\\n self.bind(\\\"<Return>\\\", self.ok)\\n self.bind(\\\"<Escape>\\\", self.cancel)\\n\\n box.pack()\",\n \"def update(self, box):\\n if box is not None:\\n self.last_boxes.append(box)\\n bound = min(len(self.last_boxes), self.n_frames)\\n self.best_box = np.mean(self.last_boxes[-bound:], axis=0).astype(np.uint32)\\n\\n self.frames_undetected = 0\\n else:\\n self.frames_undetected += 1\\n\\n self.age += 1\",\n \"def update_bbox(self, viewer, dims):\\n title = self.get_title()\\n self._title.text = title if title is not None else '555.55'\\n self.title_wd, self.txt_ht = viewer.renderer.get_dimensions(self._title)\\n\\n wd, ht = dims[:2]\\n y_hi = ht\\n if title is not None:\\n # remove Y space for X axis title\\n y_hi -= self.txt_ht + 4\\n # remove Y space for X axis labels\\n y_hi -= self.txt_ht + self.pad_px\\n\\n self.aide.update_plot_bbox(y_hi=y_hi)\",\n \"def edit(self):\\n self.toplevel = tk.Toplevel()\\n # ============================= Frame Setup\\n # Get Frames for each side of the editor\\n self.leftSide = tk.LabelFrame(self.toplevel, text=\\\"Leftside\\\")\\n self.rightSide = tk.LabelFrame(self.toplevel, text=\\\"Rightside\\\")\\n self.leftSide.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\\n self.rightSide.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)\\n #### Build the leftside\\n # Frame for controlling the title of node\\n self.titleFrame = tk.LabelFrame(self.leftSide, text=\\\"Title\\\")\\n self.titleFrame.pack(side=tk.TOP, fill=tk.X, expand=False)\\n self.titleEntry = tk.Entry(self.titleFrame)\\n self.titleEntry.pack(side=tk.LEFT, fill=tk.X, expand=True)\\n self.titleUpdateButton = tk.Button(self.titleFrame, text=\\\"Update\\\", command=self.update_title_from_entry)\\n self.titleUpdateButton.pack(side=tk.LEFT)\\n # ============================= EditorFrame\\n self.editorFrame = tk.Frame(self.leftSide)\\n self.editorFrame.pack(side=tk.TOP, fill=tk.BOTH, expand=True)\\n self.textWidget = tk.Text(self.editorFrame)\\n self.textWidget.pack(side=tk.TOP, fill=tk.BOTH, expand=True)\\n # ============================= Status Bar\\n self.statusFrame = tk.LabelFrame(self.leftSide, text=\\\"Status\\\", relief=tk.SUNKEN)\\n self.statusFrame.pack(side=tk.TOP, fill=tk.X, expand=False)\\n self.wordWrapStatus = tk.Menubutton(self.statusFrame)\\n self.wordWrapStatus.pack()\\n # ============================== Buttons on the right side of the editor\\n self.buttonFrame = tk.Frame(self.rightSide)\\n self.buttonFrame.pack(side=tk.TOP)\\n self.saveButton = tk.Button(self.buttonFrame, text=\\\"save\\\", command=self.on_editor_save, bg=\\\"green\\\")\\n self.exitButton = tk.Button(self.buttonFrame, text=\\\"exit\\\", command=self.on_editor_exit, bg=\\\"red\\\")\\n self.saveButton.pack(side=tk.LEFT, fill=tk.X, expand=True)\\n self.exitButton.pack(side=tk.LEFT, fill=tk.X, expand=True)\\n # insert title of node into title entry\\n self.titleEntry.insert(tk.END, self.title)\\n # insert contents of node into textwidget\\n self.textWidget.insert(tk.END, self.text)\",\n \"def _change_coordinate_frame(self, boxes, window):\\n with tf.name_scope('change_coordinate_frame'):\\n\\n ymin, xmin, ymax, xmax = tf.unstack(boxes, axis=1)\\n ymin -= window[0]\\n xmin -= window[1]\\n ymax -= window[0]\\n xmax -= window[1]\\n\\n win_height = window[2] - window[0]\\n win_width = window[3] - window[1]\\n boxes = tf.stack([\\n ymin/win_height, xmin/win_width,\\n ymax/win_height, xmax/win_width\\n ], axis=1)\\n boxes = tf.cond(tf.greater(tf.shape(boxes)[0], 0),\\n lambda: tf.clip_by_value(boxes, clip_value_min=0.0, clip_value_max=1.0),\\n lambda: boxes\\n )\\n # boxes = tf.clip_by_value(boxes, clip_value_min=0.0, clip_value_max=1.0) - work_element_count > 0 (0 vs. 0)\\n return boxes\",\n \"def model_refresh(self):\\n for x in range(self._dim):\\n for y in range(self._dim):\\n if self._board[x][y]:\\n self.canvas.itemconfig(self.rect[y,x], fill=self._secondary_color)\\n else:\\n self.canvas.itemconfig(self.rect[y,x], fill=self._primary_color)\",\n \"def main():\\n global fenetre, gr_grid,grid,steps,btn\\n fenetre = Frame()\\n fenetre.grid()\\n fenetre.master.title('Rush Hour')\\n flabel = Frame(fenetre)\\n flabel.grid()\\n steps=StringVar()\\n Label(flabel, textvariable=steps).pack()\\n steps.set(str(len(l))+\\\" steps remaining\\\")\\n background = Frame(fenetre, bg = game_bg, width=game_size, height=game_size)\\n background.grid()\\n gr_grid = []\\n for i in range(6):\\n gr_line = []\\n for j in range(6):\\n cell = Frame(background, bg = tiles_empty_bg, width = tiles_size, height = tiles_size)\\n cell.grid(row=i, column=j,padx=1, pady=1)\\n t = Label(master = cell, text = \\\"\\\", bg = tiles_empty_bg, justify = CENTER, font = tiles_font, width=4, height=2)\\n t.grid()\\n gr_line.append(t)\\n gr_grid.append(gr_line)\\n\\n board_display(my_board)\\n button=Frame(fenetre)\\n button.grid()\\n btn=StringVar()\\n Button(button, textvariable=btn, command=next_step).pack(side=BOTTOM)\\n btn.set(\\\"Next step\\\")\\n fenetre.mainloop()\",\n \"def __init__(self):\\n EasyFrame.__init__(self, title = \\\"Game Time\\\")\\n self.setSize(440, 400)\\n self.cardLabel1 = self.addLabel(\\\"\\\", row = 0,\\n column = 0,\\n sticky = \\\"NSEW\\\")\\n self.cardLabel2 = self.addLabel(\\\"\\\", row = 0,\\n column = 1,\\n sticky = \\\"NSEW\\\")\\n self.cardLabel3 = self.addLabel(\\\"\\\", row = 0,\\n column = 2,\\n sticky = \\\"NSEW\\\")\\n self.stateLabel = self.addLabel(\\\"\\\", row = 1, column = 0,\\n sticky = \\\"NSEW\\\",\\n columnspan = 2)\\n self.addButton(row = 2, column = 0,\\n text = \\\"New game\\\",\\n command = self.newDeal)\\n self.addButton(row = 2, column = 2,\\n text = \\\"Quit\\\",\\n command = self.quit)\",\n \"def __init__(self, master, width, height, number):\\n Frame.__init__(self, master)\\n # create list of minesweeper cell coords\\n cellCoords = []\\n for h in range(height):\\n for w in range(width):\\n cellCoords.append((h, w))\\n random.shuffle(cellCoords)\\n # find bombs\\n self.bombCoords = cellCoords[:number]\\n self.bombs = []\\n for bomb in self.bombCoords:\\n self.bombs.append(MsCell(bomb, True, self))\\n # make the rest non-bomb cells\\n self.cellCoords = cellCoords[number:]\\n self.nonExposed = self.cellCoords[:]\\n self.nonBombcells = []\\n for cell in self.cellCoords:\\n adjacentBombs = 0\\n for h in range(max(0, cell[0] - 1), min(cell[0] + 2, height)):\\n for w in range(max(0, cell[1] - 1), min(cell[1] + 2, width)):\\n if (h, w) in self.bombCoords:\\n adjacentBombs += 1\\n self.nonBombcells.append(MsCell(cell, adjacentBombs, self))\\n # set cell\\n self.number = number\\n self.height = height\\n self.width = width\\n # set number label\\n self.numberLabel = Label(master, text=str(self.number))\\n self.numberLabel.grid(row=self.height, columnspan=self.width)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6689228","0.66155696","0.65819746","0.6271218","0.6260631","0.6133513","0.6128093","0.611145","0.60912585","0.6082675","0.6053892","0.6053803","0.6029776","0.6003047","0.596538","0.5959297","0.5884809","0.58832145","0.5862301","0.5841208","0.58308303","0.57989013","0.57987803","0.5797244","0.5791403","0.5784546","0.5780775","0.5772115","0.5767569","0.5767495","0.57668906","0.57662743","0.57606494","0.57595444","0.57565504","0.5753179","0.57503575","0.57469773","0.57406175","0.57345307","0.57290334","0.5719542","0.57144344","0.5697462","0.56873125","0.56761235","0.5671979","0.5670261","0.56625366","0.5658493","0.5655677","0.56529945","0.5651338","0.56510246","0.56491196","0.56479603","0.56417894","0.5639551","0.5628968","0.56281054","0.5625314","0.5613899","0.56133354","0.56125075","0.5611274","0.5609017","0.5595006","0.5589591","0.5566292","0.55658174","0.5563702","0.5563702","0.5563702","0.55627745","0.5561714","0.5547096","0.5546323","0.55448854","0.5543346","0.55381083","0.5533458","0.5532142","0.55311716","0.5529818","0.55272126","0.55232203","0.55182475","0.5516737","0.5512368","0.5506762","0.5506394","0.55038446","0.5490902","0.5482481","0.5479571","0.5476376","0.5461994","0.5455747","0.5454042","0.54509264"],"string":"[\n \"0.6689228\",\n \"0.66155696\",\n \"0.65819746\",\n \"0.6271218\",\n \"0.6260631\",\n \"0.6133513\",\n \"0.6128093\",\n \"0.611145\",\n \"0.60912585\",\n \"0.6082675\",\n \"0.6053892\",\n \"0.6053803\",\n \"0.6029776\",\n \"0.6003047\",\n \"0.596538\",\n \"0.5959297\",\n \"0.5884809\",\n \"0.58832145\",\n \"0.5862301\",\n \"0.5841208\",\n \"0.58308303\",\n \"0.57989013\",\n \"0.57987803\",\n \"0.5797244\",\n \"0.5791403\",\n \"0.5784546\",\n \"0.5780775\",\n \"0.5772115\",\n \"0.5767569\",\n \"0.5767495\",\n \"0.57668906\",\n \"0.57662743\",\n \"0.57606494\",\n \"0.57595444\",\n \"0.57565504\",\n \"0.5753179\",\n \"0.57503575\",\n \"0.57469773\",\n \"0.57406175\",\n \"0.57345307\",\n \"0.57290334\",\n \"0.5719542\",\n \"0.57144344\",\n \"0.5697462\",\n \"0.56873125\",\n \"0.56761235\",\n \"0.5671979\",\n \"0.5670261\",\n \"0.56625366\",\n \"0.5658493\",\n \"0.5655677\",\n \"0.56529945\",\n \"0.5651338\",\n \"0.56510246\",\n \"0.56491196\",\n \"0.56479603\",\n \"0.56417894\",\n \"0.5639551\",\n \"0.5628968\",\n \"0.56281054\",\n \"0.5625314\",\n \"0.5613899\",\n \"0.56133354\",\n \"0.56125075\",\n \"0.5611274\",\n \"0.5609017\",\n \"0.5595006\",\n \"0.5589591\",\n \"0.5566292\",\n \"0.55658174\",\n \"0.5563702\",\n \"0.5563702\",\n \"0.5563702\",\n \"0.55627745\",\n \"0.5561714\",\n \"0.5547096\",\n \"0.5546323\",\n \"0.55448854\",\n \"0.5543346\",\n \"0.55381083\",\n \"0.5533458\",\n \"0.5532142\",\n \"0.55311716\",\n \"0.5529818\",\n \"0.55272126\",\n \"0.55232203\",\n \"0.55182475\",\n \"0.5516737\",\n \"0.5512368\",\n \"0.5506762\",\n \"0.5506394\",\n \"0.55038446\",\n \"0.5490902\",\n \"0.5482481\",\n \"0.5479571\",\n \"0.5476376\",\n \"0.5461994\",\n \"0.5455747\",\n \"0.5454042\",\n \"0.54509264\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.62919223"},"document_rank":{"kind":"string","value":"3"}}},{"rowIdx":4790,"cells":{"query":{"kind":"string","value":"detect cars on image using historical information and heatmap"},"document":{"kind":"string","value":"def detect(self, img, thresh_hold, show=False):\n heat = np.zeros_like(img[:,:,0]).astype(np.float)\n # heatmap for all boxes found in last n_frames frame\n heat = add_heat(heat,self.boxes)\n # threshold for multiple frames\n thresh = thresh_hold*len(self.lengths)\n # initialization\n if len(self.lengths) == 0:\n thresh = thresh_hold\n heat = apply_threshold(heat,thresh)\n\n # Visualize the heatmap when displaying\n heatmap = np.clip(heat, 0, 255)\n # Find final boxes from heatmap using label function\n labels = label(heatmap)\n draw_img = draw_labeled_bboxes(np.copy(img), labels)\n if show:\n plot_dual(draw_img, heatmap,'Car positions','Heat Map',cm2='hot')\n return draw_img"},"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 find_cars(img, scale):\n img_boxes = [] # Clears img_boxes so we don't keep unwanted heatmap history\n count = 0\n draw_img = np.copy(img)\n\n # Make a heatmap of zeros\n heatmap = np.zeros_like(img[:, :, 0])\n\n # IMPORTANT : reading *.jpeg's (scaled 0-255, aka scaling needed), but\n # # trained on *.png's (scaled 0-1, aka scaling not needed)\n if img.dtype == 'uint8':\n img = img.astype(np.float32) / 255 # aka scaling needed\n\n img_tosearch = img[ystart:ystop, :, :]\n ctrans_tosearch = convert_color(img_tosearch, conv='RGB2YCrCb')\n\n if scale != 1: # resize whole image instead of separate windows\n imshape = ctrans_tosearch.shape\n ctrans_tosearch = cv2.resize(ctrans_tosearch, (np.int(imshape[1] / scale), np.int(imshape[0] / scale)))\n\n ch1 = ctrans_tosearch[:, :, 0]\n ch2 = ctrans_tosearch[:, :, 1]\n ch3 = ctrans_tosearch[:, :, 2]\n\n # Define blocks and steps as above\n # These hold the number of HOG cells\n nxblocks = (ch1.shape[1] // pix_per_cell) - 1 # Note : '//' causes integers to be result, instead of floats\n nyblocks = (ch1.shape[0] // pix_per_cell) - 1\n # How many features per block are we going to be extracting\n nfeat_per_block = orient * cell_per_block ** 2\n window = 64\n nblocks_per_window = (window // pix_per_cell) - 1\n # aka 75% overlap between cells\n cells_per_step = 2 # Instead of overlap, define how many cells to step\n nxsteps = (nxblocks - nblocks_per_window) // cells_per_step\n nysteps = (nyblocks - nblocks_per_window) // cells_per_step\n\n # Compute individual channel HOG features for the entire image\n hog1 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\n hog2 = get_hog_features(ch2, orient, pix_per_cell, cell_per_block, feature_vec=False)\n hog3 = get_hog_features(ch3, orient, pix_per_cell, cell_per_block, feature_vec=False)\n\n for xb in range(nxsteps):\n for yb in range(nysteps):\n count += 1\n ypos = yb * cells_per_step\n xpos = xb * cells_per_step\n # Extract HOG for this patch\n hog_feat1 = hog1[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\n hog_feat2 = hog2[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\n hog_feat3 = hog3[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\n hog_features = np.hstack((hog_feat1, hog_feat2, hog_feat3))\n\n xleft = xpos * pix_per_cell\n ytop = ypos * pix_per_cell\n\n # Extract the image patch\n subimg = cv2.resize(ctrans_tosearch[ytop:ytop + window, xleft:xleft + window], (64, 64))\n\n # Get colour features\n spatial_features = bin_spatial(subimg, size=spatial_size)\n hist_features = color_hist(subimg, nbins=hist_bins)\n\n # Scale features and make a prediction\n test_features = X_scaler.transform(\n np.hstack((spatial_features, hist_features, hog_features)).reshape(1, -1))\n test_prediction = svc.predict((test_features))\n\n if test_prediction == 1:\n xbox_left = np.int(xleft * scale)\n ytop_draw = np.int(ytop * scale)\n win_draw = np.int(window * scale)\n cv2.rectangle(draw_img, (xbox_left, ytop_draw + ystart),\n (xbox_left + win_draw, ytop_draw + win_draw + ystart), (0, 0, 255))\n img_boxes.append(\n ((xbox_left, ytop_draw + ystart), (xbox_left + win_draw, ytop_draw + win_draw + ystart)))\n heatmap[ytop_draw + ystart:ytop_draw + win_draw + ystart, xbox_left:xbox_left + win_draw] += 1\n\n return draw_img, img_boxes, heatmap","def process_image( self, image ):\n \n # 1. detect cars in image at different scales\n \n # Modify x/y start stop according to scale, cars appear smaller near horizon\n scales = config.scales\n \n box_list = []\n for scale_item in scales:\n scale = scale_item[\"scale\"]\n detects_image, boxes = hog_subsample.find_cars(image, \n scale_item[\"y_start_stop\"][0], scale_item[\"y_start_stop\"][1], \n scale, \n config.settings[\"svc\"], \n config.settings[\"scaler\"], \n config.settings[\"orient\"], \n config.settings[\"pix_per_cell\"], config.settings[\"cell_per_block\"], \n config.settings[\"spatial_size\"], config.settings[\"hist_bins\"],\n scale_item[\"x_start_stop\"][0], scale_item[\"x_start_stop\"][1])\n box_list.extend(boxes)\n \n # Update history\n self.bbox_list_history.append( box_list )\n bbox_list_history_list = sum(self.bbox_list_history.copy(), []) # single list of bbox lists in history\n \n # 2. heat map and threshold\n \n # Make zeros shaped like image\n heat = np.zeros_like(image[:,:,0]).astype(np.float)\n\n # Add heat for each box in box list history\n heat = heatmap_threshold_detection.add_heat(heat, bbox_list_history_list)\n\n # Apply threshold to help remove false positives\n heat_threshold = config.heatmap_threshold\n heat = heatmap_threshold_detection.apply_threshold(heat, heat_threshold)\n\n # Find final boxes from heatmap using label function\n heatmap = np.clip(heat, 0, 255) # only need to clip if there is more than 255 boxes around a point?\n labels = label(heatmap)\n boxed_image = heatmap_threshold_detection.draw_labeled_bboxes(np.copy(image), labels)\n \n # frame image annotation\n font = cv2.FONT_HERSHEY_SIMPLEX\n cv2.putText(boxed_image,\"Frame:{}\".format(config.count), (10,100), font, 1, (255,255,255), 2 ,cv2.LINE_AA )\n \n return boxed_image","def find_cars(img,\n clf,\n scaler,\n color_space,\n spatial_size,\n hist_bins,\n scale,\n cells_per_step,\n x_start_stop,\n y_start_stop,\n orient,\n pix_per_cell,\n cell_per_block):\n draw_img = np.copy(img)\n\n heatmap = np.zeros_like(img[:, :, 0])\n\n img = img.astype(np.float32)/255\n\n img_to_search = img[y_start_stop[0]:y_start_stop[1], x_start_stop[0]:x_start_stop[1], :]\n\n # color transformed image\n ctrans_to_search = change_color_space(img_to_search, colorspace=color_space)\n\n if scale != 1:\n imshape = ctrans_to_search.shape\n ctrans_to_search = cv2.resize(ctrans_to_search, (np.int(imshape[1]/scale), np.int(imshape[0]/scale)))\n\n ch1 = ctrans_to_search[:, :, 0]\n ch2 = ctrans_to_search[:, :, 1]\n ch3 = ctrans_to_search[:, :, 2]\n\n nxblocks = (ch1.shape[1] // pix_per_cell) - 1 # number of hog cells\n nyblocks = (ch1.shape[0] // pix_per_cell) - 1\n nfeat_per_block = orient*cell_per_block**2\n window = 64\n nblocks_per_window = (window // pix_per_cell) - 1\n\n nxsteps = (nxblocks - nblocks_per_window) // cells_per_step\n nysteps = (nyblocks - nblocks_per_window) // cells_per_step\n\n # compute individual channel HOG features for the intire image\n hog1 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\n hog2 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\n hog3 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\n\n for xb in range(nxsteps):\n for yb in range(nysteps):\n ypos = yb*cells_per_step\n xpos = xb*cells_per_step\n # extract hog features for this patch\n hog_feat1 = hog1[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel()\n hog_feat2 = hog2[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel()\n hog_feat3 = hog3[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel()\n hog_features = np.hstack((hog_feat1, hog_feat2, hog_feat3))\n\n xleft = xpos*pix_per_cell\n ytop = ypos*pix_per_cell\n\n # extract the image path\n subimg = cv2.resize(ctrans_to_search[ytop:ytop+window, xleft:xleft+window], (64,64))\n\n # get color features\n spatial_features = get_bin_spatial(subimg, size=spatial_size)\n hist_features = get_color_hist(subimg, nbins=hist_bins)\n\n # scale features and make prediction\n test_features = scaler.transform(np.hstack((spatial_features, hist_features, hog_features)))\n\n test_prediction = clf.predict(test_features)\n\n if test_prediction == 1:\n xbox_left = np.int(xleft*scale)\n ytop_draw = np.int(ytop*scale)\n win_draw = np.int(window*scale)\n cv2.rectangle(draw_img, (xbox_left+x_start_stop[0], ytop_draw+y_start_stop[0]), (xbox_left+win_draw+x_start_stop[0], ytop_draw+win_draw+y_start_stop[0]), (0,0,255), 6)\n heatmap[ytop_draw+y_start_stop[0]:ytop_draw+win_draw+y_start_stop[0], xbox_left+x_start_stop[0]:xbox_left+win_draw+x_start_stop[0]] += 1\n\n return draw_img, heatmap","def find_cars(img, ystart, ystop, scale, svc, X_scaler, orient, pix_per_cell, cell_per_block, spatial_size,\n hist_bins):\n draw_img = np.copy(img)\n img_tosearch = img[ystart:ystop, :, :]\n ctrans_tosearch = convert_color(img_tosearch, conv='RGB2YCrCb')\n if scale != 1:\n imshape = ctrans_tosearch.shape\n ctrans_tosearch = cv2.resize(ctrans_tosearch, (np.int(imshape[1] / scale), np.int(imshape[0] / scale)))\n\n # Channel extraction\n ch1 = ctrans_tosearch[:, :, 0]\n ch2 = ctrans_tosearch[:, :, 1]\n ch3 = ctrans_tosearch[:, :, 2]\n\n # Define blocks and steps as above\n nxblocks = (ch1.shape[1] // pix_per_cell) - cell_per_block + 1\n nyblocks = (ch1.shape[0] // pix_per_cell) - cell_per_block + 1\n\n # 64 was the orginal sampling rate, with 8 cells and 8 pix per cell\n window = 64\n nblocks_per_window = (window // pix_per_cell) - cell_per_block + 1\n cells_per_step = 2 # Instead of overlap, define how many cells to step\n nxsteps = (nxblocks - nblocks_per_window) // cells_per_step\n nysteps = (nyblocks - nblocks_per_window) // cells_per_step\n\n # Compute individual channel HOG features for the entire image\n hog1 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\n hog2 = get_hog_features(ch2, orient, pix_per_cell, cell_per_block, feature_vec=False)\n hog3 = get_hog_features(ch3, orient, pix_per_cell, cell_per_block, feature_vec=False)\n detections = []\n\n for xb in range(nxsteps):\n for yb in range(nysteps):\n ypos = yb * cells_per_step\n xpos = xb * cells_per_step\n # Extract HOG for this patch\n\n # Flatten the HOG features for each channel position\n hog_feat1 = hog1[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\n hog_feat2 = hog2[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\n hog_feat3 = hog3[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\n # Build hog_features array by stacking each channel\n hog_features = np.hstack((hog_feat1, hog_feat2, hog_feat3))\n\n xleft = xpos * pix_per_cell\n ytop = ypos * pix_per_cell\n\n # Extract the image patch\n subimg = cv2.resize(ctrans_tosearch[ytop:ytop + window, xleft:xleft + window], (64, 64))\n\n # Get color features\n spatial_features = bin_spatial(subimg, size=spatial_size)\n hist_features = color_hist(subimg, nbins=hist_bins)\n\n # Scale features and make a prediction\n test_features = X_scaler.transform(\n np.hstack((spatial_features, hist_features, hog_features)).reshape(1, -1))\n test_prediction = svc.predict(test_features)\n confidence = svc.decision_function(test_features)\n\n if test_prediction == 1 and confidence > 0.6:\n xbox_left = np.int(xleft * scale)\n ytop_draw = np.int(ytop * scale)\n win_draw = np.int(window * scale)\n x1 = xbox_left\n y1 = ytop_draw + ystart\n x2 = xbox_left + win_draw\n y2 = ytop_draw + win_draw + ystart\n detections.append((x1, y1, x2, y2))\n return detections","def detect_vehicles_image(input_img,\n scaler=None,\n classifier=None,\n decision=DECISION_THRESHOLD,\n tracker=None,\n method='heatmap',\n save_path=None,\n prefix=None,\n view=True,\n show=True):\n img = np.copy(input_img)\n # diffent sliding window sizes\n xy_windows = [ (100, 100), (120, 120), (140, 140), (180, 180)]\n xy_overlaps = [(0.50, 0.50), (0.50, 0.50), (0.50, 0.50)]\n all_car_window_list = [] # car window list for all window scales\n\n for i, (xy_window, xy_overlap) in enumerate(zip(xy_windows, xy_overlaps)):\n img_height = img.shape[0]\n img_width = img.shape[1]\n view_height = int(img_height/2)\n y_start_stop=[view_height, img_height]\n xy_nums = (int(view_height/xy_window[1])*2,\n int(img_width/xy_window[0])*2)\n\n window_list = slide_window(img, xy_window=xy_window,\n xy_overlap=xy_overlap, y_start_stop=y_start_stop)\n wprefix = str(prefix) + 'w' + str(i) + 'i'\n #if view:\n #show_grid_view(img, window_list, xy_nums=xy_nums)\n car_window_list = predit_vehicles(\n img, window_list,\n scaler=scaler, classifier=classifier,\n decision=decision,\n save_path=save_path,\n prefix=wprefix)\n all_car_window_list.extend(car_window_list)\n if view:\n show_window_img = draw_boxes(img, all_car_window_list, color=(0, 255, 255), thick=3)\n plt.imshow(show_window_img)\n if show:\n plt.show()\n window_img = None\n if method == 'nms':\n ### track the cars using nms\n track_car_windows = tracker.track_nms(all_car_window_list)\n window_img = draw_boxes(img, track_car_windows, color=(0, 255, 0), thick=3)\n else:\n ### track the cars using heat map and labels\n track_labels = tracker.track_labels(all_car_window_list, view=view)\n #print(track_labels[1], 'cars found')\n window_img= Tracker.draw_labeled_bboxes(img, track_labels)\n\n\n if view:\n plt.imshow(window_img)\n if show:\n plt.show()\n\n return window_img","def process_frame(self, img):\n found = []\n for scale in self.settings['scales']:\n found.extend(find_cars(img, scale[0], scale[1], scale[2], scale[3], scale[4], self.clf, self.scaler,\n self.settings['color_space'], self.settings['orient'], self.settings['pix_per_cell'],\n self.settings['cell_per_block'], self.settings['spatial_size'],\n self.settings['hist_bins'], self.log, self.settings['min_conf']))\n\n self.prev_frames.append(found)\n if len(self.prev_frames) > self.settings['n_frames']:\n self.prev_frames.pop(0)\n heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\n for frame in self.prev_frames:\n f_heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\n add_heat(f_heatmap, frame)\n heatmap = heatmap * f_heatmap\n\n acc_heatmap = np.copy(heatmap)\n\n bboxes = find_bboxes_from_heatmap(apply_threshold(heatmap,\n self.settings['heat_threshold'] ** self.settings['n_frames']))\n\n if self.settings['DEBUG']:\n single_heatmap = add_heat(np.zeros_like(img[:, :, 0]).astype(np.float), found)\n single_heatmap = np.clip(single_heatmap, 0, 255)\n single_heatmap = np.dstack((single_heatmap, single_heatmap, single_heatmap))\n acc_heatmap = np.sqrt(acc_heatmap)\n acc_heatmap = np.clip(acc_heatmap, 0, 255)\n acc_heatmap = np.dstack((acc_heatmap, acc_heatmap, acc_heatmap))\n labels = np.clip(heatmap, 0, 1)*255\n labels = np.dstack((labels, labels, labels))\n final = draw_boxes(img, bboxes)\n frame = np.concatenate((np.concatenate((single_heatmap, acc_heatmap), axis=1),\n np.concatenate((labels, final), axis=1)), axis=0)\n return cv2.resize(frame, (int(frame.shape[1]/2), int(frame.shape[0]/2)))\n else:\n return draw_boxes(img, bboxes)","def process_frame(self, img):\n if self.heatmap is None:\n self.heatmap = np.zeros((img.shape[0], img.shape[1], self.n_frames), dtype=np.float32)\n\n img_blur = gaussian_blur(np.copy(img), 3)\n heat = detect_cars_multi_area(img_blur, self.clf, self.xy_window, self.stride, self.y_start_stops,\n self.image_size_factors, self.x_padding, heatmap=True, n_jobs=self.n_jobs)\n\n heat = gaussian_blur(heat, 21)\n self.heatmap[:, :, self.frame_cnt % self.n_frames] = heat\n\n if self.frame_cnt < self.n_frames:\n heat = np.mean(self.heatmap[:, :, :self.frame_cnt], axis=2)\n else:\n heat = np.mean(self.heatmap, axis=2)\n\n heat_thresh = np.zeros(heat.shape, dtype=np.uint8)\n heat_thresh[heat > self.heatmap_thresh] = 255\n\n boxes_contours = bb_by_contours(heat_thresh)\n boxes_contours = self._remove_outliers(boxes_contours)\n\n used_boxes = self._update_detections(boxes_contours)\n\n self._unhide_if_applicable(boxes_contours, used_boxes)\n\n self._create_new_detections(boxes_contours, used_boxes)\n\n self._remove_lost_detections()\n if self.auto_draw:\n img = self.draw_info(img)\n self.frame_cnt += 1\n\n return img","def process_image(self, img):\n show = False\n # draw_image = np.copy(img)\n # search all scale windows and return cars' windows\n hots = search_scales(img,self.svc, self.X_scaler, self.orient, \n self.pix_per_cell, self.cell_per_block, self.spatial_size, self.hist_bins)\n # update the self boxes\n self.update(hots)\n # detect cars using threshold\n window_image = self.detect(img, 2)\n if show:\n plt.imshow(window_image)\n plt.show()\n return window_image","def extract_vehicles(self):\n heatmap_threshed = apply_threshold(self.avg_heatmap, 7)\n\n labels = label(heatmap_threshed)\n self.binary_map = labels[0]\n self.number_of_found_cars = labels[1]","def find_cars_image(image, clf, hyperparams, box_color=None, old_heatmap=None):\n heat_threshold = hyperparams[\"HEAT_THRESHOLD\"]\n # Scan the image and get the new heatmap\n _, heatmap = scan_multiple_win_sizes(image, clf, hyperparams, box_colors=None)\n # Build an aggregated heatmap of this heatmap and the old heatmap\n agg_heatmap = old_heatmap+heatmap if old_heatmap is not None else heatmap\n # Apply threshold to find cars\n thresh_heatmap = apply_threshold(agg_heatmap, heat_threshold)\n # Label cars\n labels_heatmap, n_cars = label(thresh_heatmap)\n # Draw labeled boxes and get bounding boxes\n draw_image, bboxes = draw_labeled_bboxes(np.zeros_like(image), labels_heatmap, n_cars, box_color=box_color)\n # Return values\n return bboxes, draw_image, labels_heatmap, heatmap, agg_heatmap","def process_image(img):\n avg_heat = np.zeros_like(image[:, :, 0]).astype(np.float)\n out_img, out_boxes, heat_map = find_cars(img, scale)\n\n # -----\n heat = np.zeros_like(image[:, :, 0]).astype(np.float)\n # Add heat to each box in box list\n heat = add_heat(heat, out_boxes)\n\n # Apply threshold to help remove false positives\n heat = apply_threshold(heat, 1)\n # heat = apply_threshold(heat, 2)\n\n avg_heat = cv2.addWeighted(avg_heat, 0.8, heat, 0.2, 0.)\n\n # Apply threshold to help remove near-zero noise\n heatmap = apply_threshold(cv2.blur(avg_heat, (15, 15)), 0.5)\n\n # Visualize the heatmap when displaying\n heatmap = np.clip(heatmap, 0, 255) # limit the values in the heatmap array\n\n # -----\n # Find final boxes from heatmap using label function\n labels = label(heat_map)\n # Draw bounding boxes on a copy of the image\n output_img = draw_labeled_bboxes(np.copy(img), labels)\n\n # -----\n r = 377.0 / avg_heat.shape[1] # calculate height\n dim = (377, int(avg_heat.shape[0] * r)) # width, height\n resized = cv2.resize(avg_heat, dim, interpolation=cv2.INTER_AREA)\n # add to output_img\n output_img[0:0 + resized.shape[0], 0:0 + resized.shape[1]] = np.repeat(resized[:, :, np.newaxis], 3,\n axis=2) * 255\n output_img = cv2.putText(output_img, \"Heatmap\", (34, 34), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2,\n cv2.LINE_AA)\n\n # -----\n return output_img","def process_image(img, debug=True):\n global X_scaler, svc, feature, heatmap\n\n global top_left_x, top_left_y, bottom_right_x, bottom_right_y\n global start_win_width, start_win_height, end_win_width, end_win_height\n global overlap_frac_x, overlap_frac_y, layer\n\n out_img = np.copy(img)\n\n # When training the model, the images are loaded by cv2 => BGR (they might be converted later, though)\n # Since moviepy read images as RGB, we need to convert them to BGR first\n img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)\n\n windows = get_windows(img,\n x_start_stop=[top_left_x, bottom_right_x],\n y_start_stop=[top_left_y, bottom_right_y],\n overlap=(overlap_frac_x, overlap_frac_y),\n window_start_size=(start_win_width, start_win_height),\n window_end_size=(end_win_width, end_win_height),\n layers=layer)\n\n car_windows = []\n for window in windows:\n # Extract bounding box image from frame\n cropped_img = get_image_region(img, bbox=window)\n\n # Get feature vector\n feature_vector = feature.extract(cropped_img).astype(np.float64)\n\n # Normalize vector\n scaled_feature_vetor = X_scaler.transform(feature_vector)\n\n # Make prediction\n pred = svc.predict(scaled_feature_vetor)\n\n # If pred[0] == 1. then a car was detected\n if pred[0] == 1.:\n car_windows.append(window)\n\n # Add heat to heatmap where cars were detected\n heatmap.add_heat(car_windows)\n\n # Get labels from heatmap\n l = heatmap.get_labels()\n\n # Create image with all detected labels (post-heatmap)\n label_img = draw_labeled_bboxes(out_img, l)\n\n if debug:\n print('cars found: {}'.format(l[1]))\n\n # Create image with all detected cars (pre-heatmap)\n box_img = draw_boxes(out_img, car_windows)\n\n # Create image that is an average of the last frames heatmap\n last_heatmaps_img = heatmap.last_maps_average()\n\n # Reduce size to 1/3\n small_last_heatmaps_img = cv2.resize(last_heatmaps_img,\n (last_heatmaps_img.shape[1]//3, last_heatmaps_img.shape[0]//3))\n small_current_heatmap_img = cv2.resize(heatmap.current_map, (heatmap.shape[1]//3, heatmap.shape[0]//3))\n small_box_img = cv2.resize(box_img, (box_img.shape[1]//3, box_img.shape[0]//3))\n\n # Create debug view\n right_img = np.vstack((small_last_heatmaps_img, small_current_heatmap_img, small_box_img))\n\n # Add debug view to video\n out_img = np.hstack((label_img,\n right_img))\n else:\n out_img = np.copy(label_img)\n\n # Move current heatmap to archive, create new map for next frame\n heatmap.next_map()\n\n return out_img","def predict_crashes_with_tracking_visualization(images, carpoints, centered):\n images = images.copy()\n lh = 5\n # plot 5 frames forward\n # check size of the cars to indicate depth\n color = (0, 255, 255)\n wh = [(x[2] - x[0], x[3] - x[1]) for x in carpoints[0]]\n for i in range(len(centered)):\n look_ahead = [[(0, 0) for i in range(len(centered[i]))] for j in range(lh + 1)]\n\n if i in [0]: continue\n\n dxs = [0 for i in range(len(centered[i]))]\n dys = [0 for i in range(len(centered[i]))]\n\n for j in range(len(centered[i])):\n dxs[j] = centered[i][j][0] - centered[i - 1][j][0]\n dys[j] = centered[i][j][1] - centered[i - 1][j][1]\n\n look_ahead[0] = centered[i]\n for j in range(1, lh + 1):\n for k in range(len(centered[i])):\n xc = look_ahead[j - 1][k][0] + dxs[k] * 2\n yc = look_ahead[j - 1][k][1] + dys[k] * 2\n look_ahead[j][k] = (xc, yc)\n # print(look_ahead[j][k])\n curr_image = images[i]\n w, h = wh[k]\n cv2.rectangle(curr_image, (int(xc - w / 2), int(yc - h / 2)), (int(xc + w / 2), int(yc + h / 2)), color,\n 2)\n images[i] = curr_image\n\n for j in range(1, lh + 1):\n min_cars = (0, 0)\n min_dist = 500000000\n wh_ind = (0, 0)\n for k in range(0, len(look_ahead[j]) - 1):\n for l in range(k + 1, len(look_ahead[j])):\n x1, y1 = look_ahead[j][k]\n x2, y2 = look_ahead[j][l]\n dist = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)\n if dist < min_dist:\n min_dist = dist\n min_cars = (x1, y1, x2, y2)\n wh_ind = (k, l)\n\n x1, y1, x2, y2 = min_cars\n w1, h1 = wh[wh_ind[0]]\n w2, h2 = wh[wh_ind[1]]\n curr_image = images[i]\n cv2.rectangle(curr_image, (int(x1 - w1 / 2), int(y1 - h1 / 2)), (int(x1 + w1 / 2), int(y1 + h1 / 2)),\n (255, 255, 0),\n 2)\n cv2.rectangle(curr_image, (int(x2 - w2 / 2), int(y2 - h2 / 2)), (int(x2 + w2 / 2), int(y2 + h2 / 2)),\n (255, 255, 0),\n 2)\n images[i] = curr_image\n\n return images","def find_tfl_lights(image: np.ndarray):\n kernel = np.array(\n [[0, 0, 0],\n [0, 0, 0],\n [0, 1, 0],\n [1, 3, 1],\n [0, 1, 0]])\n\n kernel = kernel - kernel.mean()\n\n red_image = image.copy()\n red_image = red_image[:, :, 0]\n _, red_image = cv2.threshold(red_image, 200, 255, cv2.THRESH_BINARY)\n output = cv2.filter2D(red_image, -1, kernel)\n output_copy = output.copy()\n output = ndimage.maximum_filter(output, size=30)\n output = output - output_copy\n mask = ((output == 0) & (output_copy > 0))\n red_points = np.where(mask)\n positions = []\n final_red_points = []\n for point1 in range(len(red_points[0])):\n point = (red_points[0][point1], red_points[1][point1])\n pixel = image[point[0], point[1]]\n if (pixel[1] < 170 or pixel[2] < 120) and pixel[0] >= 200:\n final_red_points.append(point)\n final_red_points = filter_points(final_red_points)\n positions += final_red_points\n auxilary = ['r'] * len(positions)\n red_x = [val[1] for val in final_red_points]\n red_y = [val[0] for val in final_red_points]\n green_image = image.copy()\n green_image = green_image[:, :, 1]\n _, green_image = cv2.threshold(green_image, 190, 255, cv2.THRESH_BINARY)\n output = cv2.filter2D(green_image, -1, kernel)\n output_copy = output.copy()\n output = ndimage.maximum_filter(output, size=30)\n output = output - output_copy\n mask = ((output == 0) & (output_copy > 0))\n green_points = np.where(mask)\n final_green_points = []\n for point1 in range(len(green_points[0])):\n point = (green_points[0][point1], green_points[1][point1])\n pixel = image[point[0], point[1]]\n if pixel[0] <= 180 and pixel[1] >= 220 and pixel[2] >= 160:\n final_green_points.append(point)\n\n final_green_points = filter_points(final_green_points)\n positions += final_green_points\n auxilary += ['g'] * len(final_green_points)\n green_x = [val[1] for val in final_green_points]\n green_y = [val[0] for val in final_green_points]\n print(f\"There are {len(green_x) + len(red_x)} points\")\n return positions, auxilary","def get_classification(self, image):\n\n temp = cv2.cvtColor(cv2.GaussianBlur(image,(5,5),0), cv2.COLOR_BGR2HSV)\n\n maskR = cv2.inRange(temp, np.array([0, 195, 240]), np.array([5, 215, 255]))\n maskY = cv2.inRange(temp, np.array([28, 195, 240]), np.array([35, 215, 255]))\n maskG = cv2.inRange(temp, np.array([60, 195, 240]), np.array([67, 215, 255]))\n\n filt_r = cv2.bitwise_and(temp,temp, mask= maskR)\n filt_y = cv2.bitwise_and(temp,temp, mask= maskY)\n filt_g = cv2.bitwise_and(temp,temp, mask= maskG)\n\n # Bitwise-AND mask and original image\n self.debug_im1 = filt_r\n self.debug_im2 = filt_y\n self.debug_im3 = filt_g\n status = TrafficLight.UNKNOWN\n\n if np.sum(maskR>10):\n print('detected red')\n status = TrafficLight.RED\n elif np.sum(maskY>10):\n print('detected yellow')\n status = TrafficLight.YELLOW\n elif np.sum(maskG>10):\n print('detected green')\n status = TrafficLight.GREEN\n\n # self.debug()\n return status","def car_zones(self, image, Hp):\n # 1) Load data from the object\n windows_feat = self.sampling_data\n clf = self.clf\n scaler = self.scaler\n overlap = self.overlap\n color_space = self.color_space\n spatial_size = self.spatial_size\n hist_bins = self.hist_bins\n orient = self.orient\n pix_per_cell = self.pix_per_cell\n cell_per_block = self.cell_per_block\n hog_channel = self.hog_channel \n spatial_feat = self.spatial_feat\n hist_feat = self.hist_feat \n hog_feat = self.hog_feat\n \n # 2) Create a copy of the image\n cimage = np.copy (image)\n # 3) Create a empty list where to store the detected windows\n detected_windows_list = []\n # 4) Loop into the windows \n for window_feat in windows_feat:\n # 4.1) Get the window using sliding_window\n windows = slide_window(image, x_start_stop=window_feat[0],\n y_start_stop=window_feat[1], \n xy_window=window_feat[2], \n xy_overlap=overlap)\n # 4.2) Get the local probabilities\n hp, hot_windows = search_windows(cimage, windows, clf, scaler, color_space=color_space, \n spatial_size=spatial_size, hist_bins=hist_bins, \n orient=orient, pix_per_cell=pix_per_cell, \n cell_per_block=cell_per_block, \n hog_channel=hog_channel, spatial_feat=spatial_feat, \n hist_feat=hist_feat, hog_feat=hog_feat) \n # 4.3) Store the probabilities into the Hp matrix\n Hp = add_probabilities(Hp, hp, windows)\n # 4.4) Store the detected boxes into the list\n detected_windows_list.extend(hot_windows)\n \n # 5) Return the detected windows and the probability matrix (Hp)\n return detected_windows_list, Hp","def process_image(self, image, debug=False):\n # Get old heatmap from internal deque representation or initialize with zeros if unknown\n old_heatmap = np.zeros(image.shape[0:2]) if len(self.heatmap_deque) == 0 else sum(self.heatmap_deque)\n # Scale image from 0.0..1.0\n modified_image = np.copy(image)/255.\n # Find cars in image\n _, draw_image, labels_heatmap, new_heatmap, agg_heatmap = find_cars_image(modified_image, self.clf,\n self.hyperparams, self.box_color, old_heatmap=old_heatmap)\n # Overlay bounding boxes on top of image\n draw_image[(draw_image == 0).all(2)] = modified_image[(draw_image == 0).all(2)]\n # Add new heatmap to deque\n self.heatmap_deque.append(new_heatmap)\n # In debug mode ...\n if debug:\n # ... create a new canvas\n result_image = np.zeros_like(image).astype(float)\n h = result_image.shape[0]\n w = result_image.shape[1]\n # get the new heatmap and aggregated heatmap as \"fancy heatmap\" representation\n new_heatmap_rgb = fancy_heatmap(new_heatmap, self.hyperparams[\"HEAT_THRESHOLD\"])\n agg_heatmap_rgb = fancy_heatmap(agg_heatmap, self.hyperparams[\"HEAT_THRESHOLD\"])\n # labels_heatmap_rgb will just be the grayscale value scaled to 0..1 and replicated across all 3 channels\n labels_heatmap_rgb = cv2.merge([normalize(labels_heatmap, norm='max')]*3)\n # place all the different images into their respective quadrant of the output canvas\n result_image[0:h//2, 0:w//2] = cv2.resize(draw_image, (w//2, h//2), interpolation=cv2.INTER_AREA)\n result_image[h//2:h, 0:w//2] = cv2.resize(labels_heatmap_rgb, (w//2, h-h//2), interpolation=cv2.INTER_AREA)\n result_image[0:h//2, w//2:w] = cv2.resize(new_heatmap_rgb, (w-w//2, h//2), interpolation=cv2.INTER_AREA)\n result_image[h//2:h, w//2:w] = cv2.resize(agg_heatmap_rgb, (w-w//2, h-h//2), interpolation=cv2.INTER_AREA)\n # rescale result to 0..255\n result_image = (result_image*255).astype(int)\n else:\n # For non-debug mode, just take scaled-back the find_cars draw_image return value\n result_image = (draw_image*255).astype(int)\n return result_image","def detect(self, img):\n # 1. color filter\n lane_img = self.color_filter(img.copy())\n # 2. gaussian blur\n lane_img = self.gaussian_blur(lane_img)\n # 3.canny edge detection\n lane_img = self.canny(lane_img)\n # 4. region of interest crop\n lane_img = self.region_of_interest(lane_img)\n # 5. hough lines\n lane_img = self.hough_lines(lane_img)\n # 6. overlay lane over original image\n result_img = weighted_img(lane_img, img)\n\n return result_img","def get_classification(self, cv2_image):\n def get_green_mask(img_hsv):\n lower_green = np.array([40, 10, 10])\n upper_green = np.array([90, 255, 255])\n mask = cv2.inRange(img_hsv, lower_green, upper_green)\n return mask\n\n def get_red_mask(img_hsv):\n # red lower mask (0-10)\n lower_red = np.array([20, 1, 150])\n upper_red = np.array([30, 120, 255])\n mask0 = cv2.inRange(img_hsv, lower_red, upper_red)\n\n # Red upper mask\n lower_red = np.array([170, 50, 50])\n upper_red = np.array([180, 255, 255])\n mask1 = cv2.inRange(img_hsv, lower_red, upper_red)\n\n # join my masks\n mask = mask0 + mask1\n return mask\n\n def get_traffic_light_color(cv2_image):\n # Convert BGR to HSV\n img_hsv = cv2.cvtColor(cv2_image, cv2.COLOR_BGR2HSV)\n height, width, _ = img_hsv.shape\n\n green_mask = get_green_mask(img_hsv)\n red_mask = get_red_mask(img_hsv)\n\n dico = {\n TrafficLight.RED: np.count_nonzero(red_mask[0:int(height / 3), :]),\n TrafficLight.YELLOW: np.count_nonzero(red_mask[int(height / 3):int(height * 2 / 3), :]),\n TrafficLight.GREEN: np.count_nonzero(green_mask[int(height * 2 / 3):height, :])\n }\n\n v = list(dico.values())\n k = list(dico.keys())\n return k[v.index(max(v))]\n\n output_dict = self.run_inference_for_single_image(cv2_image)\n traffic_light_image = self.get_traffic_light(cv2_image, output_dict)\n\n # no traffic light found\n if traffic_light_image is None:\n return TrafficLight.UNKNOWN\n\n return get_traffic_light_color(traffic_light_image)","def find_tfl_lights(c_image: np.ndarray):\n red_img = c_image[:, :, 0]\n green_img = c_image[:, :, 1]\n new_red = convolution(red_img)\n new_green = convolution(green_img)\n x_red, y_red = get_max_candidate(new_red)\n x_green, y_green = get_max_candidate(new_green)\n return x_red, y_red, x_green, y_green","def identify_dbs(image):\n locations = {\"red\": Point(), \"green\": Point(), \"blue\": Point()}\n masks = {\"red\": [], \"green\": [], \"blue\": []}\n\n bridge = cv_bridge.CvBridge()\n image = bridge.imgmsg_to_cv2(image, \"bgr8\")\n hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)\n\n # upper and lower bounds for red\n # using python 3 bgr [0,0,188] = hsv [0, 255, 188]\n lower_red = numpy.array([0, 100, 100]) \n upper_red = numpy.array([10, 255, 255])\n masks[\"red\"] = cv2.inRange(hsv, lower_red, upper_red)\n\n # upper and lower bounds for green\n # using python 3 bgr [0,175,0] = hsv [60, 255, 175]\n lower_green = numpy.array([50, 100, 100]) \n upper_green = numpy.array([70, 255, 255])\n masks[\"green\"] = cv2.inRange(hsv, lower_green, upper_green)\n\n # upper and lower bounds for blue\n # using python 3 bgr [176, 0, 17] = hsv [123, 255, 176]\n lower_blue = numpy.array([113, 100, 100])\n upper_blue = numpy.array([133, 255, 255])\n masks[\"blue\"] = cv2.inRange(hsv, lower_blue, upper_blue)\n\n x, y, w, h = 0, 0, image.shape[1]//3, image.shape[0]\n\n for color, mask in masks.items():\n pixels = {\"left\": 0, \"middle\": 0, \"right\": 0}\n \n # define section of image to use for left, middle and right\n left = mask[y:y+h, x:x+w]\n middle = mask[y:y+h, x+w:x+w+w]\n right = mask[y:y+h, x+w+w:x+3*w]\n\n # count the number of pixels in each section\n pixels[\"left\"] = cv2.countNonZero(left)\n pixels[\"middle\"] = cv2.countNonZero(middle)\n pixels[\"right\"] = cv2.countNonZero(right)\n location = max(pixels, key=pixels.get)\n\n # map the relative position of the db (left, middle, right) to the correct Point()\n locations[color] = db_locations[location]\n \n return locations","def detect_cars(img, clf, xy_window, stride, cur_sizes_factors, cur_y_start_stop, cur_x_padding):\n\n image_tar_size = (int(img.shape[0] * cur_sizes_factors),\n int(img.shape[1] * cur_sizes_factors))\n\n # open cv needs the shape in reversed order (width, height)\n img_scaled = cv2.resize(img, image_tar_size[::-1])\n # check if search area is smaller than window.\n cur_y_start_stop = (cur_y_start_stop * cur_sizes_factors).astype(np.uint32)\n\n # if the window size is bigger than the search area return an empty array\n search_area_height = cur_y_start_stop[1] - cur_y_start_stop[0]\n if search_area_height < xy_window[1] or img_scaled.shape[1] < xy_window[0]:\n return np.ndarray((0, 4))\n\n # Add padding (zeros) on the x axis\n img_scaled = add_padding(img_scaled, cur_x_padding)\n windows = slide_window(img_scaled, y_start_stop=cur_y_start_stop, xy_window=xy_window,\n stride=stride)\n\n features = extract_features(img_scaled, clf, windows, cur_y_start_stop, xy_window, stride)\n des_func = clf.named_steps['clf'].decision_function(features)\n\n windows = remove_padding_from_bb(windows, cur_x_padding)\n # windows have to be rescaled to account for the resized image\n windows = (windows / cur_sizes_factors).astype(np.uint32)\n windows = windows[des_func > 0]\n\n des_func = des_func[des_func > 0]\n\n return windows, des_func","def find_gate_posts(img, display_results=False):\n\n greyscale_image = cv2.cvtColor(img.astype(np.uint8), cv2.COLOR_GRAY2BGR)\n cm_image = cv2.applyColorMap(greyscale_image, cv2.COLORMAP_VIRIDIS)\n\n kernel = np.ones((5, 5), np.uint8)\n\n # cm_image = cv2.erode(cm_image, kernel, iterations=1)\n kernel = np.ones((5, 5), np.uint8)\n cm_image = cv2.dilate(cm_image, kernel, iterations=3)\n kernel = np.ones((4, 4), np.uint8)\n cm_image = cv2.erode(cm_image, kernel, iterations=1)\n\n cm_image = cv2.medianBlur(cm_image, 5) # Removes salt and pepper noise\n\n cm_copy_image = cm_image\n cv2.copyTo(cm_image, cm_copy_image)\n\n mask = mask_sonar_image(cm_image, display_results)\n\n cm_circles = cv2.findContours(mask, cv2.RETR_LIST,\n cv2.CHAIN_APPROX_SIMPLE)[-2]\n\n cm_circles = list(filter(lambda x: (cv2.contourArea(x) > 200\n and cv2.contourArea(x) < 5000),\n cm_circles))\n cm_circles = sorted(cm_circles,\n key=lambda x: (arc_circ(x)),\n reverse=False)\n\n cm_circles = list(filter(lambda x: (cv2.arcLength(x, True)**2/(4\n * math.pi*cv2.contourArea(x)) > 2.5), cm_circles))\n\n if len(cm_circles) < 1:\n print(\"Not enough circles found\")\n return None\n\n filtered_circles = cm_circles[0:1]\n\n circle_positions = []\n for circle in filtered_circles: # find center of circle code\n M = cv2.moments(circle)\n cX = int(M[\"m10\"] / M[\"m00\"])\n cY = int(M[\"m01\"] / M[\"m00\"])\n circle_positions.append((cX, cY, arc_circ(circle), cv2.arcLength(\n circle, True)**2/(4*math.pi*cv2.contourArea(circle))))\n\n if display_results:\n cv2.drawContours(cm_copy_image, filtered_circles, -1, (0, 255, 0), 2)\n cv2.imshow(\"found_gate_posts\", cm_copy_image)\n cv2.waitKey(0)\n\n return circle_positions","def vision(image):\n vis_map = resize(image, alpha, beta)\n print(\"Resized map from the blue mask\")\n\n world = rotate(vis_map)\n\n plt.figure()\n plt.imshow(world[:, :, ::-1])\n plt.show()\n object_grid, occupancy_grid = detect_object(world)\n print(\"Result of the red mask\")\n plt.figure()\n plt.imshow(occupancy_grid)\n plt.show()\n return object_grid, occupancy_grid, world","def get_classification_simulator(self, image):\n\n r_channel = image[:,:,2]\n g_channel = image[:,:,1]\n\n\n\n # Threshold color channel\n s_rgy_min = 50\n s_thresh_min = 245\n s_thresh_max = 255\n \n #s_binary = np.zeros_like(r_channel)\n r_binary = np.zeros_like(r_channel)\n g_binary = np.zeros_like(r_channel)\n y_binary = np.zeros_like(r_channel)\n \n #s_binary[((r_channel >= s_thresh_min) & (r_channel <= s_thresh_max)) | ((g_channel >= s_thresh_min) & (g_channel <= s_thresh_max))] = 1\n \n \n r_binary[((r_channel >= s_thresh_min) & (r_channel <= s_thresh_max)) & (g_channel <= s_rgy_min)] = 1\n g_binary[((g_channel >= s_thresh_min) & (g_channel <= s_thresh_max)) & (r_channel <= s_rgy_min)] = 1\n y_binary[((r_channel >= s_thresh_min) & (r_channel <= s_thresh_max)) & ((g_channel >= s_thresh_min) & (g_channel <= s_thresh_max))] = 1\n \n\n #res = cv2.bitwise_and(img,img,mask = s_binary)\n \n #maxx=image.shape[1]\n maxy=image.shape[0]\n \n y_top=0\n window_size_y=50\n y_bottom=y_top+window_size_y\n \n max_color=0\n tf_color=TrafficLight.UNKNOWN\n \n while (y_bottom< maxy):\n #print(img[y_top:y_bottom,:,:])\n rs= r_binary[y_top:y_bottom,:].sum()\n gs= g_binary[y_top:y_bottom,:].sum()\n ys= y_binary[y_top:y_bottom,:].sum()\n if (rs>max_color):\n max_color=rs\n tf_color=TrafficLight.RED\n if (gs>max_color):\n max_color=gs\n tf_color=TrafficLight.GREEN\n if (ys>max_color):\n max_color=ys\n tf_color=TrafficLight.YELLOW\n y_top+=window_size_y\n y_bottom+=window_size_y\n \n if (max_color<100):\n tf_color=TrafficLight.UNKNOWN\n \n\n\n return tf_color","def find_components(image,deltaPix,lens_rad_arcsec = 6.0,lens_rad_ratio = None,\n center_x = None,center_y = None, gal_rad_ratio = 0.1,\n min_size_arcsec=0.7,thresh=0.5, many_sources = True,\n show_locations=False, title = None):\n\n # convert minimum component size in pixel units\n min_size = int(min_size_arcsec / deltaPix)\n \n #Convert lens radius and central galaxy radius to pixels\n if lens_rad_ratio == None:\n lens_rad = int(lens_rad_arcsec / deltaPix)\n else: lens_rad = int(len(image) * lens_rad_ratio)\n gal_rad = int(len(image) * gal_rad_ratio)\n \n \n# im2[im2 < im2.min() + 10.*thresh] = 0.\n \n # downscale source image to data resolution (for speed + easier for converting to data units)\n #down = image_util.re_size(image, factor=supersampling_factor_source)\n \n # apply laplacian of gaussian (LoG) filter to enhance maxima\n LoG = - gaussian_laplace(deepcopy(image), sigma = min_size, mode='constant', cval=0.) \n \n# LoG = - gaussian_laplace(deepcopy(im2), sigma = 2., mode='constant', cval=0.)\n \n filtered = deepcopy(LoG)\n \n# print(LoG.min(),LoG.max(),np.abs(LoG.min()) + thresh )\n \n# print(type(filtered))\n \n #background mean and std of filtered image \n corners = np.zeros([4,5,5])\n corners[0] = LoG[0:5,0:5]\n corners[1] = LoG[-5:,0:5]\n corners[2] = LoG[0:5,-5:]\n corners[3] = LoG[-5:,-5:]\n means = []\n stds = []\n for c in corners:\n mn,med,s = sigma_clipped_stats(c,sigma=3.0)\n means.append(mn)\n stds.append(s)\n \n stds=np.array(stds)\n means = np.array(means)\n means_std = np.std(means)\n# means_good = means[(means >= means.mean() - 1.0 * means_std) & (means <= means.mean() + 1.0 * means_std)]\n means_good = means[(np.abs(means) <= np.abs(means).min() + 1.0 * means_std)]\n mean_bg = np.mean(means_good)\n std_bg = np.mean(stds[(np.abs(means) <= np.abs(means).min() + 1.0 * means_std)])\n# print('LoG means: {}, Log means std: {}, Log means good: {}, LoG avg mean: {}'.format(means,means_std,means_good,mean_bg))\n# print('min: {}, max: {}, cut: {}'.format(LoG.min(),LoG.max(),mean_bg + thresh))\n# print(LoG.min(),LoG.max(),filtered.min() + thresh)\n \n \n # assume all value below max*threshold can not be maxima, so put all to zero\n# filtered[filtered < thresh*filtered.max()] = 0.\n \n# assume all value below min*threshold can not be maxima, so put all to zero\n# filtered[filtered < filtered.min() + thresh * np.abs(filtered.min())] = 0.\n# filtered[filtered < mean_bg + thresh] = 0.\n filtered[filtered < mean_bg + 6.*std_bg] = 0. #set pixels below the mean + 6x threshold to 0\n \n # find coordinates of local maxima\n #print(int(0.5 * min_size))\n max_idx_2d_small = peak_local_max(filtered, min_distance=0) #All bright pixels\n max_idx_2d_large = peak_local_max(filtered, min_distance=1) #peaks with min size of 1 pixel\n \n x_list_small, y_list_small = max_idx_2d_small[:, 1], max_idx_2d_small[:, 0]\n x_list_large, y_list_large = max_idx_2d_large[:, 1], max_idx_2d_large[:, 0]\n \n im_center_x, im_center_y = len(image) / 2., len(image) / 2. #center of image\n \n if (center_x == None) & (center_y == None):\n new_center_x, new_center_y = im_center_x,im_center_y\n else:\n new_center_x, new_center_y = center_x,center_y #new \"center\" = location of lens galaxy\n \n \n #distance of each detected peak from center\n R_small = np.sqrt((x_list_small - new_center_x)**2 + (y_list_small - new_center_y)**2) \n R_large = np.sqrt((x_list_large - new_center_x)**2 + (y_list_large - new_center_y)**2)\n \n #Contaminant light is only bright pixels further from center than lens_rad\n x_sats, y_sats = x_list_small[R_small > lens_rad], y_list_small[R_small > lens_rad]\n \n if many_sources:\n x_lens, y_lens = deepcopy(x_list_small), deepcopy(y_list_small)\n else:\n x_lens, y_lens = deepcopy(x_list_large), deepcopy(y_list_large)\n \n# x_lens, y_lens = x_list_small[R_small <= lens_rad], y_list_small[R_small <= lens_rad]\n \n if (len(x_lens) == 0) & (len(y_lens) == 0):\n x_lens = [0,15]\n y_lens = [0,15]\n \n sources = QTable([x_lens, y_lens],names={'x_local_peak','y_local_peak'}) #make table of all detected objects\n# print(x_list_large)\n# print(y_list_large)\n# print(sources)\n \n # show maxima on image for debug\n \n if show_locations:\n# fig = plt.figure(figsize=(4, 4))\n #plt.imshow(image, origin='lower', cmap=cmap_flux, norm=LogNorm(1e-2))\n \n f, axes = plt.subplots(1, 5, figsize=(20,5), sharex=False, sharey=False)\n# plt.figure(figsize = (8,8))\n# plt.subplot(1,2,1)\n \n axes[0].imshow(image, origin='lower', norm=SymLogNorm(5))\n axes[0].set_title('Image')\n axes[0].set_axis_off()\n \n \n axes[1].imshow(LoG, origin='lower', norm=SymLogNorm(5))\n axes[1].set_title('LoG Filtered Image')\n axes[1].set_axis_off()\n\n# plt.subplot(1,2,2)\n axes[2].imshow(filtered, origin='lower', norm=SymLogNorm(5))\n axes[2].set_title('Final Filtered Image')\n axes[2].set_axis_off()\n \n axes[3].imshow(image, origin='lower', norm=SymLogNorm(5))\n for i in range(len(x_lens)):\n axes[3].scatter([x_lens[i]], [y_lens[i]], c='red', s=60, marker='+')\n \n for i in range(len(x_list_large)):\n axes[3].scatter([x_list_large[i]], [y_list_large[i]], c='black', s=100, marker='x')\n axes[3].set_title('Detected Objects')\n axes[3].set_axis_off()\n \n axes[4].imshow(image, origin='lower', norm=SymLogNorm(5))\n \n for i in range(len(x_sats)):\n axes[4].scatter([x_sats[i]], [y_sats[i]], c='red', s=60, marker='+')\n \n# plt.annotate(i+1, (x_list[i], y_list[i]), color='black')\n \n# for i in range(len(x_mask)):\n# plt.scatter([x_mask[i]], [y_mask[i]], c='red', s=100, marker='*')\n# plt.annotate(i+1, (x_mask[i], y_mask[i]), color='red')\n axes[4].scatter(new_center_x, new_center_y,c='red', s=100, marker='*')\n \n draw_lens_circle = Circle((new_center_x, new_center_y),lens_rad ,fill=False)\n draw_gal_circle = Circle((new_center_x, new_center_y),gal_rad, fill = False)\n# plt.gcf().gca().add_artist(draw_lens_circle)\n# plt.gcf().gca().add_artist(draw_gal_circle)\n axes[4].add_patch(draw_lens_circle)\n# axes[4].add_patch(draw_gal_circle)\n \n axes[4].set_title('Pixels to Mask: \\n r = {:.3f}'.format(lens_rad_arcsec))\n axes[4].text(1, 1, \"detected components\", color='red')\n axes[4].set_axis_off()\n \n if title != None:\n f.suptitle(title, fontsize = 15)\n# plt.show()\n \n \n return (x_sats, y_sats), (new_center_x, new_center_y), sources","def drawCars(self):\n for car in self.cars:\n if car.aliveForFrames >= ALIVE_THRESHOLD:\n msg = 'ID: {0:>2}\\n'.format(car.id)\n msg += 'conf:{0:.2f}%\\n'.format(car.displayedConfidence * 100)\n msg += 'active: {} frames'.format(car.aliveForFrames - car.aliveForFrames % 5)\n self.car_detector.draw_boxes(self.image, tuple(car.box), msg)\n\n return self.image","def process_tir_image(ds, data_res, t_thresh=-50, min_mcs_size=5000):\n ctt = (ds['tb']).squeeze()-273.15\n min_pix_nb = min_mcs_size / data_res**2\n\n max_pix_nb = 300000 / data_res**2 # this is to capture satellite artefacts that come in large contiguous stripes.\n labels, goodinds = mcs_define(ctt.values, t_thresh, minmax_area=[min_pix_nb, max_pix_nb]) # 7.7x7.7km = 64km2 per pix in gridsat? 83 pix is 5000km2\n dic = dictionary()\n #plt.figure()\n #plt.pcolormesh(labels)\n #plt.colorbar()\n #plt.show()\n for g in goodinds:\n\n if g==0:\n continue\n\n pos = np.where(labels==g)\n npos = np.where(labels!=g)\n datestr = str(int(ctt['time.year'].values))+'-'+str(int(ctt['time.month'].values)).zfill(2)+'-'+str(int(ctt['time.day'].values)).zfill(2)+'_'+\\\n str(int(ctt['time.hour'].values)).zfill(2)+':'+str(int(ctt['time.minute'].values)).zfill(2)\n \n dic['date'].append(datestr)\n dic['month'].append(int(ctt['time.month']))\n dic['hour'].append(int(ctt['time.hour']))\n dic['year'].append(int(ctt['time.year']))\n dic['day'].append(int(ctt['time.day']))\n dic['minute'].append(int(ctt['time.minute']))\n\n storm = ctt.copy()\n storm.values[npos] = np.nan\n tmin_pos = np.nanargmin(storm.values)\n tpos_2d = np.unravel_index(tmin_pos, storm.shape)\n \n latmin = np.nanmin(ctt.lat.values[pos[0]])\n latmax = np.nanmax(ctt.lat.values[pos[0]])\n lonmin = np.nanmin(ctt.lon.values[pos[1]])\n lonmax = np.nanmax(ctt.lon.values[pos[1]])\n dic['area'].append(np.sum(np.isfinite(storm.values))*data_res**2)\n dic['70area'].append(np.sum(storm.values<=-70)*data_res**2)\n dic['minlon'].append(lonmin)\n dic['minlat'].append(latmin)\n dic['maxlon'].append(lonmax)\n dic['maxlat'].append(latmax)\n dic['clon'].append(lonmin + (lonmax - lonmin)/2)\n dic['clat'].append(latmin + (latmax - latmin)/2)\n dic['tmin'].append(np.nanmin(storm))\n dic['tminlat'].append(float(ctt.lat[tpos_2d[0]].values))\n dic['tminlon'].append(float(ctt.lon[tpos_2d[1]].values))\n dic['tmean'].append(float(np.nanmean(storm)))\n dic['tp1'].append(float(np.nanpercentile(storm, 1)))\n dic['tp99'].append(float(np.nanpercentile(storm, 99)))\n dic['stormID'].append(datestr + '_' + str(g))\n dic['cloudMask'].append(labels==g)\n dic['tir'].append(storm.values)\n\n # for k in dic.keys():\n # print(k, len(dic[k]))\n return dic","def detect_crashes(images, carpoints, centered):\n images = images.copy()\n updated_car_points = [[] for i in range(len(centered))]\n crash_frames = []\n color = (0, 0, 255)\n\n for i in range(len(centered)):\n curr_points = centered[i]\n print('i value: ' + str(i))\n if i in [0, 1]:\n for j in range(len(curr_points)):\n curr_x, curr_y = curr_points[j]\n updated_car_points[i].append((curr_x, curr_y, 0))\n else:\n for j in range(len(curr_points)):\n ''' Include case where new car point is not close to any of the other car points. Like taking care of\n adding new points. '''\n curr_x, curr_y = curr_points[j]\n min_ind, min_dist = find_closest((curr_x, curr_y), updated_car_points[i - 2])\n print('Min Dist, Min Index: %f, %i' % (min_dist, min_ind))\n prev_x, prev_y, old_mag = updated_car_points[i - 2][min_ind]\n\n # Now compare with prev\n\n new_mag = math.sqrt((curr_x - prev_x) ** 2 + (curr_y - prev_y) ** 2)\n print('Old: %f -- New: %f' % (old_mag, new_mag))\n\n '''curr_image = images[i]\n x1, y1, x2, y2 = car_points[i][j]\n text = \"{:.4f}; {:.4f}; {:.4f}\".format(old_mag, new_mag, min_dist)\n cv2.putText(curr_image, text, (x1, y1 - 20), cv2.FONT_HERSHEY_SIMPLEX,\n 0.41, color, 1)\n images[i] = curr_image'''\n\n if old_mag != 0 and abs(old_mag - new_mag) > 75:\n crash_frames.append(i)\n curr_image = images[i]\n width = curr_image.shape[1]\n height = curr_image.shape[0]\n x1, y1, x2, y2 = carpoints[i][j]\n cv2.rectangle(curr_image, (x1, y1), (x2, y2), color, 2)\n images[i] = curr_image\n # print(\"CRASH at frame %d\" % (i))\n\n updated_car_points[i][min_ind] = (curr_x, curr_y, new_mag)\n\n if i == len(centered) - 1:\n continue\n\n updated_car_points[i + 1] = [0 for k in range(max(len(updated_car_points[i]), len(centered[i + 1])))]\n return crash_frames, images","def show_performance(model):\n val_image_ids_ = [i for i in val_image_ids]\n np.random.shuffle(val_image_ids_)\n\n df_val = area_filter(val_image_ids_, val_coco)\n image_id = df_val['image_id'].iloc[0]\n annotation_ids = df_val[df_val['image_id'] == image_id]['annotation_id'].tolist()\n\n image_json = val_coco.loadImgs([image_id])[0]\n raw_image = cv2.imread(os.path.join(\"{}/{}/{}\".format(data_dir, val_type, image_json['file_name'])))\n height, width, _ = raw_image.shape\n\n # decode the mask, using annotation id created at the group by above\n binary_mask = process_mask(val_coco, annotation_ids, width, height)\n\n # preprocess input and mask (resize to 128, scale to [0, 1))\n input_image, input_mask = preprocess(raw_image, binary_mask)\n\n input_mask = np.expand_dims(input_mask, axis=-1)\n predicted_mask = model.predict(np.array([input_image]))[0]\n\n plt.figure(figsize=(20, 20))\n\n title = ['Input Image', 'True Mask', 'Predicted Mask']\n display_list = [input_image[:, :, ::-1], input_mask, predicted_mask]\n for i in range(len(display_list)):\n plt.subplot(1, len(display_list), i+1)\n plt.title(title[i])\n plt.imshow(array_to_img(display_list[i]))\n plt.axis('off')\n plt.show()","def pipeline(image):\n # undistort image\n undistorted_image = undistort_image(image)\n superimposed_image = find_lanes(undistorted_image)\n labels = find_vehicles(undistorted_image)\n\n draw_img = draw_labeled_bboxes(superimposed_image, labels)\n\n \n return draw_img","def detect(image):\n markers = []\n # Stage 1: Detect edges in image\n gray = cvtColor(image, COLOR_BGR2GRAY)\n clahe = createCLAHE(clipLimit=1, tileGridSize=(6, 6))\n cl1 = clahe.apply(gray)\n _, thresh = threshold(cl1, 60, 255, THRESH_OTSU)\n blurred = GaussianBlur(thresh, (5, 5), 0)\n edges = Canny(blurred, 75, 100)\n\n # Stage 2: Find contours\n contours = findContours(edges, RETR_TREE, CHAIN_APPROX_SIMPLE)\n contours = sorted(contours, key=contourArea, reverse=True)[:]\n\n for contour in contours:\n # Stage 3: Shape check\n perimeter = arcLength(contour, True)\n approx = approxPolyDP(contour, 0.01*perimeter, True)\n\n if len(approx) == QUADRILATERAL_POINTS:\n area = contourArea(approx)\n # (x, y, w, h) = boundingRect(approx)\n # ar = float(h) / float(w)\n # if area > 100 and ar >= 0.8 and ar <= 1.2:\n if area > 700:\n # putText(image, str(area), (10, 30), FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2)\n drawContours(image, [contour], -1, (0, 255, 0), 1)\n\n # Stage 4: Perspective warping\n topdown_quad = get_topdown_quad(thresh, approx.reshape(4, 2))\n\n # Stage 5: Border check\n if topdown_quad[int((topdown_quad.shape[0]/100.0)*5), int((topdown_quad.shape[1]/100.0)*5)] > BLACK_THRESHOLD:\n continue\n\n # Stage 6: Get marker pattern\n marker_pattern = None\n\n try:\n marker_pattern = get_marker_pattern(topdown_quad, THRESHOLD_PERCENT)\n except:\n continue\n\n if not marker_pattern:\n continue\n\n # Stage 7: Match marker pattern\n marker_found, marker_rotation, marker_name = match_marker_pattern(marker_pattern)\n\n if marker_found:\n markers.append([marker_name, marker_rotation])\n\n return markers, image","def test():\n import os\n import ClearMap.ImageProcessing.SpotDetection as self\n reload(self)\n import ClearMap.IO as io \n import ClearMap.Settings as settings\n \n basedir = settings.ClearMapPath;\n #fn = '/home/ckirst/Science/Projects/BrainActivityMap/Data/iDISCO_2015_06/Adult cfos C row 20HF 150524.ims';\n fn = os.path.join(basedir, 'Test/Data/Synthetic/label_iDISCO_\\d{3}.tif');\n fn = os.path.join(basedir, 'Test/Data/OME/16-17-27_0_8X-s3-20HF_UltraII_C00_xyz-Table Z\\d{4}.ome.tif');\n #fn = '/run/media/ckirst/ChristophsBackuk4TB/iDISCO_2015_06/Adult cfos C row 20HF 150524.ims';\n #fn = '/home/nicolas/Windows/Nico/cfosRegistrations/Adult cfos C row 20HF 150524 - Copy.ims';\n #fn = '/home/ckirst/Science/Projects/BrainActivityMap/iDISCO_2015_04/test for spots added spot.ims'\n\n img = io.readData(fn);\n #img = dataset[0:500,0:500,1000:1008];\n #img = dataset[600:1000,1600:1800,800:830];\n #img = dataset[500:1500,500:1500,800:809]; \n img = img.astype('int16');\n \n #m = sys.modules['iDISCO.ImageProcessing.SpotDetection']\n #c = self.detectCells(img);\n \n c = self.detectCells(img, dogSize = None, cellShapeThreshold = 1, cellShapeFile = '/home/ckirst/Science/Projects/BrainActivityMap/Analysis/iDISCO/Test/Data/CellShape/cellshape_\\d{3}.tif');\n \n print ('done, found %d cells !' % c[0].shape[0])\n\n\n #test intensities:\n import numpy;\n x = numpy.random.rand(30,30,10);\n centers = numpy.array([[0,0,0], [29,29,9]]);\n i = self.findIntensity(x, centers, boxSize = (1,1,1));\n print (i)","def detect_cars_multi_area(img,\n clf,\n xy_window=(64, 64),\n stride=None,\n y_start_stops=None,\n image_size_factors=[1],\n x_padding=None,\n heatmap=False,\n n_jobs=1):\n\n if n_jobs < 0:\n n_jobs = multiprocessing.cpu_count()\n\n if stride is None:\n stride = np.repeat([[xy_window[0], xy_window[1]]], len(image_size_factors), axis=0)\n\n if y_start_stops is None:\n y_start_stops = np.repeat([[0, img.shape[0] - 1]], len(image_size_factors), axis=0)\n\n if x_padding is None:\n x_padding = np.repeat([0], len(image_size_factors), axis=0)\n\n # use joblib to run processing in parallel\n result = Parallel(n_jobs=n_jobs)(\n delayed(detect_cars)(\n img,\n clf,\n xy_window,\n cur_stride,\n cur_sizes_factors,\n cur_y_start_stop,\n cur_x_padding)\n for cur_stride, cur_sizes_factors, cur_y_start_stop, cur_x_padding in\n zip(stride, image_size_factors, y_start_stops, x_padding))\n\n bounding_boxes, des_func = zip(*result)\n bounding_boxes = np.vstack(bounding_boxes)\n\n des_func = np.concatenate(des_func)\n\n if heatmap:\n heat = np.zeros(img.shape[:2], dtype=np.float32)\n for bb, df in zip(bounding_boxes, des_func):\n heat[bb[1]:bb[3], bb[0]:bb[2]] += df\n\n return heat\n\n return bounding_boxes","def vis_detections(im, class_name, dets, thresh=0.8):\n\n dict = {'HolderA': 'Holder', 'WheelA': 'WheelA', 'WheelB': 'WheelB', 'BrakeA': 'Brake', 'SpringA': 'Spring',\n 'BuckleA': 'BuckleA', 'BuckleB': 'BuckleB', 'TubeA': 'Tube', 'NutA': 'NutA', 'ScrewA': 'ScrewA',\n 'NutB': 'NutB', 'ScrewB': 'ScrewB',\n 'WireA': 'Wire', 'PlateA': 'PlateA', 'PlateB': 'PlateB', 'PlateD': 'PlateC', 'PlateE': 'PlateD',\n 'BoltA': 'Bolt', 'LoopB': 'Loop', 'JointA': 'JointA', 'JointB': 'JointB', 'FixatorA': 'Fixator',\n 'BearingA': 'Bearing', 'PlugA': 'Plug'}\n\n for i in range(np.minimum(10, dets.shape[0])):\n bbox = tuple(int(np.round(x)) for x in dets[i, :4])\n score = dets[i, -1]\n if score > thresh:\n # Color site: http://www.wahart.com.hk/rgb.htm\n if class_name == 'HolderA':\n color = (255, 255, 0) # Cyan\n elif class_name == 'WheelA':\n color = (212, 255, 127) # Aquamarina\n elif class_name == 'WheelB':\n color = (99, 99, 238) # IndianRed2\n elif class_name == 'BrakeA':\n color = (99, 99, 238) # IndianRed2\n elif class_name == 'SpringA':\n color = (180, 130, 70) # SteelBlue\n elif class_name == 'BuckleA':\n color = (205, 0, 0) # MediumBlue\n elif class_name == 'BuckleB':\n color = (170, 205, 102) # MediumAquamarine\n elif class_name == 'BuckleC':\n color = (0, 252, 124) # LawnGreen\n elif class_name == 'BuckleD':\n color = (50, 205, 50) # LimeGreen\n elif class_name == 'TubeA':\n color = (147, 112, 219) # PaleVioletRed\n elif class_name == 'ScrewA':\n color = (240, 32, 160) # Purple\n elif class_name == 'ScrewB':\n color = (0, 165, 255) # Orange1\n elif class_name == 'ScrewC':\n color = (48, 48, 255) # Firebrick1\n elif class_name == 'NutA':\n color = (0, 255, 255) # Yellow\n elif class_name == 'NutB':\n color = (255, 144, 30) # DodgerBlue\n elif class_name == 'NutC':\n color = (180, 238, 180) # DarkSeaGreen2\n elif class_name == 'WireA':\n color = (255, 255, 255) # White\n elif class_name == 'PlateA':\n color = (0, 69, 255) # OrangeRed\n elif class_name == 'PlateB':\n color = (102, 205, 0) # SpringGreen3\n elif class_name == 'PlateD':\n color = (0, 255, 0) # Green\n elif class_name == 'PlateE':\n color = (0, 140, 250) # DarkOrange\n elif class_name == 'BoltA':\n color = (255, 255, 0) # Cyan\n elif class_name == 'LoopB':\n color = (180, 105, 255) # HotPink\n elif class_name == 'JointA':\n color = (105, 140, 255) # Salmon1\n elif class_name == 'JointB':\n color = (255, 0, 255) # Magenta3\n elif class_name == 'FixatorA':\n color = (0, 205, 102) # Chartreuse3\n elif class_name == 'BearingA':\n color = (185, 218, 255) # PeachPuff\n elif class_name == 'PlugA':\n color = (193, 193, 255) # RosyBrown1\n else:\n color = (139, 0, 139) # DarkMagenta\n cv2.rectangle(im, bbox[0:2], bbox[2:4], color, 2)\n # cv2.putText(im, '%s: %.3f' % (class_name, score), (bbox[0], bbox[1] + 15), cv2.FONT_HERSHEY_COMPLEX,\n # 0.5, color, thickness=1)\n cv2.putText(im, '%s: %.3f' % (dict[class_name], score), (bbox[0], bbox[1] + 15), cv2.FONT_HERSHEY_COMPLEX,\n 0.5, color, thickness=1)\n return im","def analyze(self):\n try:\n self.options[self.multi_image][1]()\n except:\n raise Exception(\"Multi Image Option not defined.\")\n\n self.image = self.data / self.exposure\n\n background = self.min_val = np.min(self.image[:511,:511])\n self.max_val = np.max(self.image[:511,:511])\n # stats.mode returns modal value = value that occours most often\n #background = stats.mode(im[:50,:50].ravel())[0][0]\n\n intensity = self.image.sum() - background*np.size(self.image)\n\n #results.append((self.index, intensity, background))\n self.index =+ 1","def predict_crashes_with_tracking(images, car_points, centered, depths, depth_differential=15, distance_differential=50,\n look_ahead=10):\n images = images.copy()\n lh = look_ahead\n\n # plot 5 frames forward\n # check size of the cars to indicate depth\n\n color = (0, 255, 255)\n wh = [(x[2] - x[0], x[3] - x[1]) for x in car_points[0]]\n for i in range(len(centered)):\n look_ahead = [[(0, 0) for i in range(len(centered[i]))] for j in range(lh + 1)]\n\n if i == 0:\n continue\n\n dxs = [0 for i in range(len(centered[i]))]\n dys = [0 for i in range(len(centered[i]))]\n\n for j in range(len(centered[i])):\n dxs[j] = centered[i][j][0] - centered[i - 1][j][0]\n dys[j] = centered[i][j][1] - centered[i - 1][j][1]\n\n look_ahead[0] = centered[i]\n for j in range(1, lh + 1):\n for k in range(len(centered[i])):\n xc = look_ahead[j - 1][k][0] + dxs[k]\n yc = look_ahead[j - 1][k][1] + dys[k]\n look_ahead[j][k] = (xc, yc)\n\n for j in range(1, lh + 1):\n for k in range(0, len(look_ahead[j]) - 1):\n for l in range(k + 1, len(look_ahead[j])):\n x1, y1 = look_ahead[j][k]\n x2, y2 = look_ahead[j][l]\n dist = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)\n if dist < (images[0].shape[0] / 18) * ((distance_differential + 50) / 100) and abs(\n math.sqrt(depths[min(i + lh, len(car_points) - 1)][k]) - math.sqrt(\n depths[min(i + lh, len(car_points) - 1)][\n l])) < depth_differential / 100: # max(depths[min(i+lh, len(car_points)-1)][\n # k]/depths[min(i+lh, len(car_points)-1)][l], depths[min(i+lh, len(car_points)-1)][l]/depths[\n # min(i+lh, len(car_points)-1)][k]) - 1 < 0.1:#9.5:#0.30: #this is the pixel number which I\n # use for the threshold\n curr_image = images[i]\n a1, a2, b1, b2 = car_points[i][k]\n c1, c2, d1, d2 = car_points[i][l]\n cv2.rectangle(curr_image, (a1, a2), (b1, b2), (0, 0, 255), 5)\n cv2.rectangle(curr_image, (c1, c2), (d1, d2), (0, 0, 255), 5)\n images[i] = curr_image\n return images","def updateFrame(self, image):\n self.currentFrame += 1\n self.image = image.copy()\n\n detected = self.car_detector.detectCars(image)\n picks = self.car_detector.non_max_suppression_fast(detected, 0.2)\n\n self.logger.debug(\" CURRENT CAR LIST\\n\")\n self.printCars()\n\n self.logger.debug(\"\\nNew Picks {0!s}\\n\".format(picks))\n\n self.addCars(picks)\n self.removeOldCars()\n if len(self.cars) == 0:\n self.logger.debug(\"EMPTY.... HELP\")\n # self.printCars()\n return self.drawCars()","def get_images_and_labels_nc():\n refs = get_ref_df()\n images = {}\n for _, data in refs.iterrows():\n if data['ProbeFileName'] in images:\n continue\n im = data['ProbeFileName']\n images[im] = 1 if data['IsTarget'] == 'Y' else 0\n return images","def detectSpots(img, detectSpotsParameter = None, correctIlluminationParameter = None, removeBackgroundParameter = None,\n filterDoGParameter = None, findExtendedMaximaParameter = None, detectCellShapeParameter = None,\n verbose = False, out = sys.stdout, **parameter):\n\n timer = Timer();\n \n # normalize data -> to check\n #img = img.astype('float');\n #dmax = 0.075 * 65535;\n #ids = img > dmax;\n #img[ids] = dmax;\n #img /= dmax; \n #out.write(timer.elapsedTime(head = 'Normalization'));\n #img = dataset[600:1000,1600:1800,800:830];\n #img = dataset[600:1000,:,800:830];\n \n # correct illumination\n correctIlluminationParameter = getParameter(detectSpotsParameter, \"correctIlluminationParameter\", correctIlluminationParameter);\n img1 = img.copy();\n img1 = correctIllumination(img1, correctIlluminationParameter = correctIlluminationParameter, verbose = verbose, out = out, **parameter) \n\n # background subtraction in each slice\n #img2 = img.copy();\n removeBackgroundParameter = getParameter(detectSpotsParameter, \"removeBackgroundParameter\", removeBackgroundParameter);\n img2 = removeBackground(img1, removeBackgroundParameter = removeBackgroundParameter, verbose = verbose, out = out, **parameter) \n \n # mask\n #timer.reset();\n #if mask == None: #explicit mask\n # mask = img > 0.01;\n # mask = binary_opening(mask, self.structureELement('Disk', (3,3,3)));\n #img[img < 0.01] = 0; # masking in place # extended maxima\n #out.write(timer.elapsedTime(head = 'Mask')); \n \n #DoG filter\n filterDoGParameter = getParameter(detectSpotsParameter, \"filterDoGParameter\", filterDoGParameter);\n dogSize = getParameter(filterDoGParameter, \"size\", None);\n #img3 = img2.copy(); \n img3 = filterDoG(img2, filterDoGParameter = filterDoGParameter, verbose = verbose, out = out, **parameter);\n \n # normalize \n # imax = img.max();\n # if imax == 0:\n # imax = 1;\n # img /= imax;\n \n # extended maxima\n findExtendedMaximaParameter = getParameter(detectSpotsParameter, \"findExtendedMaximaParameter\", findExtendedMaximaParameter);\n hMax = getParameter(findExtendedMaximaParameter, \"hMax\", None);\n imgmax = findExtendedMaxima(img3, findExtendedMaximaParameter = findExtendedMaximaParameter, verbose = verbose, out = out, **parameter);\n \n #center of maxima\n if not hMax is None:\n centers = findCenterOfMaxima(img, imgmax, verbose = verbose, out = out, **parameter);\n else:\n centers = findPixelCoordinates(imgmax, verbose = verbose, out = out, **parameter);\n \n #cell size detection\n detectCellShapeParameter = getParameter(detectSpotsParameter, \"detectCellShapeParameter\", detectCellShapeParameter);\n cellShapeThreshold = getParameter(detectCellShapeParameter, \"threshold\", None);\n if not cellShapeThreshold is None:\n \n # cell shape via watershed\n imgshape = detectCellShape(img2, centers, detectCellShapeParameter = detectCellShapeParameter, verbose = verbose, out = out, **parameter);\n \n #size of cells \n csize = findCellSize(imgshape, maxLabel = centers.shape[0], out = out, **parameter);\n \n #intensity of cells\n cintensity = findCellIntensity(img, imgshape, maxLabel = centers.shape[0], verbose = verbose, out = out, **parameter);\n\n #intensity of cells in background image\n cintensity2 = findCellIntensity(img2, imgshape, maxLabel = centers.shape[0], verbose = verbose, out = out, **parameter);\n \n #intensity of cells in dog filtered image\n if dogSize is None:\n cintensity3 = cintensity2;\n else:\n cintensity3 = findCellIntensity(img3, imgshape, maxLabel = centers.shape[0], verbose = verbose, out = out, **parameter);\n \n if verbose:\n out.write(timer.elapsedTime(head = 'Spot Detection') + '\\n');\n \n #remove cell;s of size 0\n idz = csize > 0;\n \n return ( centers[idz], numpy.vstack((cintensity[idz], cintensity3[idz], cintensity2[idz], csize[idz])).transpose()); \n \n \n else:\n #intensity of cells\n cintensity = findIntensity(img, centers, verbose = verbose, out = out, **parameter);\n\n #intensity of cells in background image\n cintensity2 = findIntensity(img2, centers, verbose = verbose, out = out, **parameter);\n \n #intensity of cells in dog filtered image\n if dogSize is None:\n cintensity3 = cintensity2;\n else:\n cintensity3 = findIntensity(img3, centers, verbose = verbose, out = out, **parameter);\n\n if verbose:\n out.write(timer.elapsedTime(head = 'Spot Detection') + '\\n');\n \n return ( centers, numpy.vstack((cintensity, cintensity3, cintensity2)).transpose());","def draw_info(self, img, age_threshold=8):\n self.n_vehicles = 0\n for detection in self.detections:\n if len(detection.last_boxes) > age_threshold:\n self.n_vehicles += 1\n img = detection.draw(img, thick=2, color=(255, 50, 0))\n\n cv2.putText(img, 'Vehicles in sight: %s' % self.n_vehicles, (50, 150), cv2.FONT_HERSHEY_SIMPLEX, 1,\n (255, 255, 255), 2)\n\n return img","def traffic_light_detection(img_in, radii_range):\n\n thresh1 = 110\n thresh2 = 60\n cannyEdges = cv2.Canny(img_in, thresh1, thresh2)\n\n circles = cv2.HoughCircles(cannyEdges,cv2.HOUGH_GRADIENT, 1, 20, param1=50,param2=30,minRadius=0,maxRadius=0)\n circles_selected = select_three(circles)\n\n for circle in circles_selected:\n column = circle[0]\n row = circle[1]\n coordinates = (column, row)\n state_pixels = img_in[int(row), int(column), :]\n # print(state_pixels)\n if state_pixels[1] == 255 and state_pixels[2] != 255 :\n state = 'green'\n if state_pixels[1] != 255 and state_pixels[2] == 255 :\n state = 'red'\n if state_pixels[1] == 255 and state_pixels[2] == 255 :\n state = 'yellow'\n\n column_2 = circles_selected[1][0]\n row_2 = circles_selected[1][1]\n coordinates_2 = (column_2, row_2)\n state_pixels_2 = img_in[int(row_2), int(column_2), :]\n\n return coordinates_2, state\n raise NotImplementedError","def find_components_old(image,deltaPix,lens_rad_arcsec = 5.0,lens_rad_ratio = None, gal_rad_ratio = 0.1,min_size_arcsec=0.3,thresh=0.4, show_locations=False):\n\n # convert minimum component size in pixel units\n min_size = int(min_size_arcsec / deltaPix)\n \n #Convert lens radius and central galaxy radius to pixels\n if lens_rad_ratio == None:\n lens_rad = int(lens_rad_arcsec / deltaPix)\n else: lens_rad = int(len(image) * lens_rad_ratio)\n gal_rad = int(len(image) * gal_rad_ratio)\n \n # downscale source image to data resolution (for speed + easier for converting to data units)\n #down = image_util.re_size(image, factor=supersampling_factor_source)\n \n # apply laplacian of gaussian (LoG) filter to enhance maxima\n filtered = - gaussian_laplace(deepcopy(image), sigma = min_size, mode='constant', cval=0.)\n \n# print(filtered.min(),filtered.max(),filtered.min() + thresh * np.abs(filtered.min()))\n \n \n # assume all value below max*threshold can not be maxima, so put all to zero\n# filtered[filtered < thresh*filtered.max()] = 0.\n \n# assume all value below min*threshold can not be maxima, so put all to zero\n filtered[filtered < filtered.min() + thresh * np.abs(filtered.min())] = 0.\n \n if show_locations:\n plt.figure(figsize = (8,8))\n plt.subplot(1,2,1)\n plt.imshow(image, origin='lower', norm=SymLogNorm(5))\n plt.title('Image')\n\n plt.subplot(1,2,2)\n plt.imshow(filtered, origin='lower', norm=SymLogNorm(5))\n plt.title('Filtered Image')\n plt.show()\n \n # find coordinates of local maxima\n #print(int(0.5 * min_size))\n max_idx_2d_small = peak_local_max(filtered, min_distance=0)\n max_idx_2d_large = peak_local_max(filtered, min_distance=1)\n \n x_list_small, y_list_small = max_idx_2d_small[:, 1], max_idx_2d_small[:, 0]\n x_list_large, y_list_large = max_idx_2d_large[:, 1], max_idx_2d_large[:, 0]\n \n im_center_x, im_center_y = len(image) / 2., len(image) / 2.\n \n R = np.sqrt((x_list_large - im_center_x)**2 + (y_list_large - im_center_y)**2)\n new_center_x, new_center_y = x_list_large[R < gal_rad], y_list_large[R < gal_rad]\n \n if (len(new_center_x) > 1) and (len(x_list_large[R == R.min()]) ==1 ): \n new_center_x, new_center_y = x_list_large[R == R.min()], y_list_large[R == R.min()]\n elif (len(new_center_x) > 1) and (len(x_list_large[R == R.min()]) > 1 ): \n new_center_x, new_center_y = im_center_x, im_center_y\n elif len(new_center_x) == 0: \n new_center_x, new_center_y = im_center_x, im_center_y\n \n \n R_small = np.sqrt((x_list_small - new_center_x)**2 + (y_list_small - new_center_y)**2)\n R_large = np.sqrt((x_list_large - new_center_x)**2 + (y_list_large - new_center_y)**2)\n \n x_sats, y_sats = x_list_small[R_small > lens_rad], y_list_small[R_small > lens_rad]\n \n # show maxima on image for debug\n if show_locations:\n fig = plt.figure(figsize=(4, 4))\n #plt.imshow(image, origin='lower', cmap=cmap_flux, norm=LogNorm(1e-2))\n plt.imshow(image, origin='lower', norm=SymLogNorm(5))\n \n for i in range(len(x_sats)):\n plt.scatter([x_sats[i]], [y_sats[i]], c='red', s=60, marker='+')\n# plt.annotate(i+1, (x_list[i], y_list[i]), color='black')\n \n# for i in range(len(x_mask)):\n# plt.scatter([x_mask[i]], [y_mask[i]], c='red', s=100, marker='*')\n# plt.annotate(i+1, (x_mask[i], y_mask[i]), color='red')\n plt.scatter(new_center_x, new_center_y,c='red', s=100, marker='*')\n \n draw_lens_circle = Circle((new_center_x, new_center_y),lens_rad ,fill=False)\n draw_gal_circle = Circle((new_center_x, new_center_y),gal_rad, fill = False)\n plt.gcf().gca().add_artist(draw_lens_circle)\n plt.gcf().gca().add_artist(draw_gal_circle)\n plt.title('Detected Components')\n plt.text(1, 1, \"detected components\", color='red')\n fig.axes[0].get_xaxis().set_visible(True); fig.axes[0].get_yaxis().set_visible(True)\n plt.show()\n return (x_sats, y_sats), (new_center_x, new_center_y)","def identify_image(im):\n score_cures = np.mean(im[1025:1065, 1130:1180, 0])\n score_ingredients = np.mean(im[1025:1065, 675:720, 0])\n if score_cures < 177.5:\n return 'cures'\n if score_ingredients < 177.5:\n return 'ingredients'\n else:\n return 'other'","def config_hog_search(self, img):\n img = img.astype(np.float32)/255 # scale image: (png: 0-1, jpg: 0-255)\n img_crop = img[self.ys[0]:self.ys[1], :, :] # crop img to relative dimensions (ROI)\n clr_trf = cvf.transform_colorspace(img_crop, self.color_space) # transform color space from RGB\n clr_trf = cvu.scale_image(clr_trf, self.scale) # scale rather than selecting diffferent window sizes\n ch1, ch2, ch3 = [clr_trf[:,:,ch] for ch in range(3)] # HOG operates on per channel basis\n\n # get hog features as multi-dimensional array per channel for the entire image\n params={'orient':self.orient, 'pix_per_cell':self.pix_per_cell, 'cells_per_block':self.cells_per_block}\n params.update({'vis':False, 'feature_vec':False})\n hog1,hog2,hog3 = [cvf.get_hog_features(ch, **params) for ch in ([ch1,ch2,ch3])]\n # block configurations\n self.nfeat_per_block = self.orient*self.cells_per_block**2\n self.nblocks_per_window = (self.window //self.pix_per_cell) -1\n # number_blocks: define number of hog cells across an image according to channel dimensions\n # number_steps: define number of steps to occur across hog array to extract features\n rows, cols = ch1.shape[:2]\n number_blocks = lambda max_dim, pix_per_cell: (max_dim // pix_per_cell) -1\n number_steps = lambda nblocks, nblocks_window, cells_step: (nblocks - nblocks_window)//cells_step\n self.nxblocks, self.nyblocks = number_blocks(cols, self.pix_per_cell), number_blocks(rows, self.pix_per_cell)\n nxsteps, nysteps = \\\n [number_steps(it, self.nblocks_per_window, self.cells_per_step) for it in (self.nxblocks, self.nyblocks) ]\n return clr_trf, (nxsteps, nysteps), (hog1,hog2,hog3)","def vis_detections(color_image, depth_colormap, class_col, dets_col, thresh=0.5):\n\n for cls_ind, class_name in enumerate(class_col):\n dets = dets_col[cls_ind]\n\n inds = np.where(dets[:, -1] >= thresh)[0]\n if len(inds) == 0:\n continue\n\n for i in inds:\n bbox = [int(e) for e in dets[i, :4]]\n score = dets[i, -1]\n \n cv2.rectangle(color_image, (bbox[0], bbox[1]),\n (bbox[2], bbox[3]), (0, 0, 255), 3)\n cv2.rectangle(depth_colormap, (bbox[0], bbox[1]),\n (bbox[2], bbox[3]), (0, 0, 255), 3)\n\n font = cv2.FONT_HERSHEY_SIMPLEX\n color_image = cv2.putText(color_image, '{:s} {:.3f}'.format(class_name, score),\n (bbox[0], max(bbox[1] - 2, 1)), font, 0.5, (255, 255, 255), 2)\n depth_colormap = cv2.putText(depth_colormap, '{:s} {:.3f}'.format(class_name, score),\n (bbox[0], max(bbox[1] - 2, 1)), font, 0.5, (255, 255, 255), 2)\n \n # Stack both images horizontally\n images = np.hstack((color_image, depth_colormap))\n\n # Show images\n cv2.imshow('RealSense', images)","def get_all_trends(self, verbose=False):\n self.labels = []\n inferred_lines = []\n \n # crop, resize, color quantize\n self.crop_to_gridline()\n self.crop_title()\n self.set_size()\n self.color_quantization()\n \n if verbose:\n print(\"Original Image\")\n display(self.orig_image)\n print(\"Cropped and color quantized:\")\n self.display()\n \n # separate colors into color pixel, images, and pixels that belong to it\n img_and_pix = self.separate_colors()\n colors, images, pixels = zip(*img_and_pix)\n \n if verbose:\n print(\"LEN IMGS\", len(images), \"; SHOULD BE\", len(self.separate_colors()))\n \n for i, image in enumerate(images):\n \n # separate into x and y pixels\n pix = pixels[i]\n inferred_lines.append(img_and_pix[i])\n x,y = zip(*np.array(pix))\n \n if verbose:\n print('len(set(y))>20', len(set(y)))\n print('len(set(x))>20', len(set(x)))\n print('len(pix)<= {}; actual: {}'.format(self.background_threshold*np.prod(self.size), len(pix)))\n display(image)\n \n # If pixels don't fluctuate more than pixel_diff_threshold, \n # or size of color is greater than background_threshold..\n if len(pix) <= self.background_threshold*np.prod(self.size):\n if len(set(y))>self.pixel_diff_threshold \\\n and len(set(x))>self.pixel_diff_threshold:\n \n # take difference between pixels\n d = np.diff(pix, axis=0)\n segdists = np.sqrt((d ** 2).sum(axis=1))\n\n # Check if one line alone in the bitmap spans min_grid_length.\n # np.argmax(np.bincount(x)) -> keep x constant\n pot_vert_line = [j for i, j in pix if i == np.argmax(np.bincount(x))]\n pot_hor_line = [i for i, j in pix if j == np.argmax(np.bincount(y))]\n \n if verbose:\n print(\"Passed 0.25 pixel threshold and straight line threshold\")\n print(\"sum(segdists)/len(segdists)<7\", sum(segdists)/len(segdists))\n print(\"Y LINE \", pot_vert_line[0], pot_vert_line[-1], self.height*self.min_grid_span)\n print(\"X LINE\" , pot_hor_line[0], pot_hor_line[-1], self.width*self.min_grid_span)\n\n if sum(segdists)/len(segdists)<self.min_pixel_dist and \\\n len(pot_vert_line)<(self.height*self.min_grid_span) and \\\n len(pot_hor_line)<(self.width*self.min_grid_span):\n\n\n# inferred_lines.append(img_and_pix[i])\n # display(image)\n\n actual_y = self.height - np.array(pix)[:,1]\n \n df = pd.DataFrame(pix).groupby(0).agg(np.mean)\n xvals = df.index\n yvals = df.values.flatten().astype(int)\n slope, intercept, rvalue, pvalue, stderr = scp.stats.linregress(xvals, yvals)\n \n change = slope*len(yvals)\n if pvalue > 0.05 or abs(change) < 0.01:\n self.add_label(\"NO TREND\")\n else:\n if slope < 0:\n self.add_label(\"DECREASING\")\n else:\n self.add_label(\"INCREASING\") \n\n if verbose: \n print(\"-\"*50)\n if not self.labels:\n self.add_label(\"NO TREND\")\n return inferred_lines, self.labels","def get_sun_features(image): # Use grayscale images, outside val: NaN\r\n ratio = sun_isoperimetric_ratio(image)\r\n sun_features = {\"sun_circularity_ratio\": ratio}\r\n return sun_features","def visualize_in_scan(self, verbose=True):\n images = self.scan.load_all_dicom_images(verbose)\n \n # Preload contours and sort them by z pos.\n contours = sorted(self.contours, key=lambda c: c.image_z_position)\n fnames = self.scan.sorted_dicom_file_names.split(',')\n index_of_contour = [fnames.index(c.dicom_file_name) for c in contours]\n\n fig = plt.figure(figsize=(16,8))\n\n min_slice = min(index_of_contour)\n max_slice = max(index_of_contour)\n current_slice = min_slice\n\n ax_image = fig.add_axes([0.5,0.0,0.5,1.0])\n img = ax_image.imshow(images[current_slice].pixel_array,\n cmap=plt.cm.gray)\n\n contour_lines = []\n # We draw all the contours initally and set the visibility\n # to False. This works better than trying create and destroy\n # plots every time we update the image.\n for i,c in enumerate(contours):\n arr = c.to_matrix()\n cc, = ax_image.plot(arr[:,0], arr[:,1], '-r')\n cc.set_visible(i==0) # Set the first contour visible.\n contour_lines.append( cc )\n ax_image.set_xlim(-0.5,511.5); ax_image.set_ylim(511.5,-0.5)\n ax_image.axis('off')\n \n # Add the scan info table\n ax_scan_info = fig.add_axes([0.1, 0.8, 0.3, 0.1])\n ax_scan_info.set_axis_bgcolor('w')\n scan_info_table = ax_scan_info.table(\n cellText=[\n ['Patient ID:', self.scan.patient_id],\n ['Slice thickness:', '%.3f mm' % self.scan.slice_thickness],\n ['Pixel spacing:', '%.3f mm'%self.scan.pixel_spacing]\n ],\n loc='center', cellLoc='left'\n )\n # Remove the cell borders.\n # It Seems like there should be an easier way to do this...\n for cell in scan_info_table.properties()['child_artists']:\n cell.set_color('w')\n\n ax_scan_info.set_title('Scan Info')\n ax_scan_info.set_xticks([])\n ax_scan_info.set_yticks([])\n\n # Add annotations / characteristics table.\n ax_annotation_info = fig.add_axes([0.1, 0.45, 0.3, 0.25])\n ax_annotation_info.set_axis_bgcolor('w')\n\n # Create the rows to be displayed in the annotations table.\n cell_text = []\n for c in _all_characteristics_:\n row = []\n cname = c.capitalize()\n if cname.startswith('Int'):\n cname = 'InternalStructure'\n\n row.append(cname)\n row.append(getattr(self,cname)())\n row.append(getattr(self,c))\n\n cell_text.append(row)\n\n annotation_info_table = ax_annotation_info.table(\n cellText=cell_text,\n loc='center', cellLoc='left', colWidths=[0.45,0.45,0.1]\n )\n\n # Again, remove cell borders.\n for cell in annotation_info_table.properties()['child_artists']:\n cell.set_color('w')\n\n ax_annotation_info.set_title('Annotation Info')\n ax_annotation_info.set_xticks([])\n ax_annotation_info.set_yticks([])\n\n # Add the checkbox for turning contours on / off.\n ax_contour_checkbox = fig.add_axes([0.1, 0.25, 0.1, 0.15])\n ax_contour_checkbox.set_axis_bgcolor('w')\n contour_checkbox = CheckButtons(ax_contour_checkbox,\n ('Show Contours',), (True,))\n contour_checkbox.is_checked = True\n\n # Add the widgets.\n ax_slice = fig.add_axes([0.1, 0.1, 0.3, 0.05])\n ax_slice.set_axis_bgcolor('w')\n txt = 'Z: %.3f'%float(images[current_slice].ImagePositionPatient[-1]) \n sslice = Slider(ax_slice,\n txt,\n 0,\n len(images)-1,\n valinit=current_slice,\n valfmt=u'Slice: %d')\n\n def update(_):\n # Update image itself.\n current_slice = int(sslice.val)\n img.set_data(images[current_slice].pixel_array)\n txt='Z: %.3f'%float(images[current_slice].ImagePositionPatient[-1])\n sslice.label.set_text(txt)\n if contour_checkbox.is_checked:\n for i,c in enumerate(contour_lines):\n flag = (index_of_contour[i] == current_slice)\n flag = flag and (current_slice >= min_slice)\n flag = flag and (current_slice <= max_slice)\n # Set contour visible if flag is True.\n c.set_visible(flag)\n else:\n for c in contour_lines: c.set_visible(False)\n fig.canvas.draw_idle()\n\n def update_contours(_):\n contour_checkbox.is_checked = not contour_checkbox.is_checked\n update(None) # update requires an argument.\n\n sslice.on_changed(update)\n contour_checkbox.on_clicked(update_contours)\n\n plt.show()","def get_classification(self, image):\n #TODO implement light color prediction\n max_idx = 4\n with self.detection_graph.as_default():\n with tf.Session(graph=self.detection_graph) as sess:\n # Definite input and output Tensors for detection_graph\n image_tensor = self.detection_graph.get_tensor_by_name('image_tensor:0')\n \n # Each box represents a part of the image where a particular object was detected.\n detection_boxes = self.detection_graph.get_tensor_by_name('detection_boxes:0')\n \n # Each score represent how level of confidence for each of the objects.\n # Score is shown on the result image, together with the class label.\n detection_scores = self.detection_graph.get_tensor_by_name('detection_scores:0')\n detection_classes = self.detection_graph.get_tensor_by_name('detection_classes:0')\n num_detections = self.detection_graph.get_tensor_by_name('num_detections:0')\n # Expand dimensions since the model expects images to have shape: [1, None, None, 3]\n image_np_expanded = np.expand_dims(image, axis=0)\n # Actual detection.\n (boxes, scores, classes, num) = sess.run(\n [detection_boxes, detection_scores, detection_classes, num_detections],\n feed_dict={image_tensor: image_np_expanded})\n\n boxes = np.squeeze(boxes)\n scores = np.squeeze(scores)\n classes = np.squeeze(classes).astype(np.int32)\n min_score_thresh = .50\n # find majority light state\n counter = [0, 0, 0, 0, 0]\n for i in range(boxes.shape[0]):\n if scores is None or scores[i] > min_score_thresh:\n counter[classes[i]] += 1\n for i in range(1, 5):\n if counter[i] > counter[max_idx]:\n max_idx = i\n return self.classmap[max_idx]","def generateHeatMask( im ):\n featref = computeFeatures(im)\n h,w,nbp = im.shape\n print(\"w:%d,h:%d\"%(w,h))\n heatMap = np.zeros((h,w,1), dtype=np.int8)\n black = [0,0,0]\n white = [255,255,255]\n rMaxDiff = 0\n for j in range(h):\n print(\"j:%d\" % j )\n for i in range(w):\n #~ print(\"i:%d\" % i )\n arDiff = []\n for color in [black,white]:\n #~ print(\"color:%s\" % color)\n imt = np.copy(im)\n \n # quite same time on my tablet !!! \n # (would have think the [] would be far fastest!)\n if 0:\n cv2.circle(imt, (i,j), 1, color )\n else:\n imt[j,i]=color\n if 0:\n cv2.imshow(\"imt\",imt)\n cv2.waitKey(1)\n #~ feat = computeFeatures(imt)\n #~ rDiff = diffFeatures(featref,feat)\n rDiff = mseFloat(im,imt)\n arDiff.append(rDiff)\n #~ print(rDiff)\n rDiff = max(arDiff)\n if rDiff > rMaxDiff:\n rMaxDiff = rDiff\n heatMap[j,i] = rDiff*10\n print(\"rMaxDiff: %5.3f\" % rMaxDiff )\n #~ print(dir(cv2))\n #~ heatMap = cv2.resize(heatMap,(w*2,h*2))\n cv2.namedWindow(\"heat\",cv2.CV_WINDOW_AUTOSIZE|cv2.WINDOW_NORMAL)\n cv2.imshow(\"heat\",heatMap)\n cv2.resizeWindow(\"heat\",600,480)\n cv2.waitKey(0)","def analyze_image(which_cam, image, ntraps, iteration=0, verbose=False):\n threshes = [0.5, 0.6]\n margin = 10\n threshold = np.max(image) * threshes[which_cam]\n im = image.transpose()\n\n x_len = len(im)\n peak_locs = np.zeros(x_len)\n peak_vals = np.zeros(x_len)\n\n ## Trap Peak Detection ##\n for i in range(x_len):\n if i < margin or x_len - i < margin:\n peak_locs[i] = 0\n peak_vals[i] = 0\n else:\n peak_locs[i] = np.argmax(im[i])\n peak_vals[i] = max(im[i])\n\n ## Trap Range Detection ##\n first = True\n pos_first, pos_last = 0, 0\n left_pos = 0\n for i, p in enumerate(peak_vals):\n if p > threshold:\n left_pos = i\n elif left_pos != 0:\n if first:\n pos_first = (left_pos + i) // 2\n first = False\n pos_last = (left_pos + i) // 2\n left_pos = 0\n\n ## Separation Value ##\n separation = (pos_last - pos_first) / ntraps # In Pixels\n\n ## Initial Guesses ##\n means0 = np.linspace(pos_first, pos_last, ntraps).tolist()\n waists0 = (separation * np.ones(ntraps) / 2).tolist()\n ampls0 = (max(peak_vals) * 0.7 * np.ones(ntraps)).tolist()\n _params0 = [means0, waists0, ampls0, [0.06]]\n params0 = [item for sublist in _params0 for item in sublist]\n\n ## Fitting ##\n if verbose:\n print(\"Fitting...\")\n xdata = np.arange(x_len)\n popt, pcov = curve_fit(lambda x, *params_0: wrapper_fit_func(x, ntraps, params_0),\n xdata, peak_vals, p0=params0)\n if verbose:\n print(\"Fit!\")\n plt.figure()\n plt.plot(xdata, peak_vals) # Data\n if iteration:\n plt.plot(xdata, wrapper_fit_func(xdata, ntraps, params0), '--r') # Initial Guess\n plt.plot(xdata, wrapper_fit_func(xdata, ntraps, popt)) # Fit\n plt.title(\"Iteration: %d\" % iteration)\n else:\n plt.title(\"Final Product\")\n\n plt.xlim((pos_first - margin, pos_last + margin))\n plt.legend([\"Data\", \"Guess\", \"Fit\"])\n plt.show(block=False)\n print(\"Fig_Newton\")\n trap_powers = np.frombuffer(popt[2 * ntraps:3 * ntraps])\n return trap_powers","def _connect_components_analysis(image):\n if len(image.shape) == 3:\n gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n else:\n gray_image = image\n\n return cv2.connectedComponentsWithStats(gray_image, connectivity=8, ltype=cv2.CV_32S)","def do_stuff(self, net, meta):\n cv2_img = self.img_to_cv2(self.last_img)\n # Now we can use cv2 functions as the image is <type 'numpy.ndarray'>\n # rospy.loginfo(\"cv2_img: \" + str(type(cv2_img)))\n # Your OpenCV stuff\n # cv2_img = cv2.resize(cv2_img, (0,0), fx=0.25, fy=0.25) \n\n (rows,cols,channels) = cv2_img.shape\n # if cols > 60 and rows > 60 :\n # cv2.circle(cv2_img, (50,50), 10, 255)\n \n global x_old\n global no_meas_counter\n global est\n global cor\n global w\n global h\n \n\n r = darknet.detect(net, meta, cv2_img)\n # print(r)\n\n if not r:\n no_meas_counter += 1\n\n for i in r:\n if i[0].decode() == \"person\":\n x, y, w, h = i[2][0], i[2][1], i[2][2], i[2][3]\n xmin, ymin, xmax, ymax = darknet.convertBack(float(x), float(y), float(w), float(h))\n pt1 = (xmin, ymin)\n pt2 = (xmax, ymax)\n cv2.rectangle(cv2_img, pt1, pt2, (0, 255, 0), 2)\n cv2.putText(cv2_img, i[0].decode() + \" [\" + str(round(i[1] * 100, 2)) + \"]\", (pt1[0], pt1[1] + 20), cv2.FONT_HERSHEY_SIMPLEX, 1, [0, 255, 0], 4)\n \n global mp\n mp = np.array([[np.float32(x)],[np.float32(y)]])\n cor = kalman.correct(mp)\n no_meas_counter = 0\n\t\t\n\n else:\n no_meas_counter += 1\n \n # x_old = x\n\n # cv2.imshow(\"cv2_img\", cv2_img)\n # k = cv2.waitKey(1)\n # if k == 27:\n # cv2.destroyAllWindows()\n # exit()\n\n if no_meas_counter < 30:\n est = kalman.predict()\n msg = PolygonStamped()\n msg.header.stamp = rospy.Time.now()\n # msg.polygon.points = [Point32(x=x, y=y), Point32(x=cols, y=rows), Point32(x=w, y=h)]\n msg.polygon.points = [Point32(x=est[0], y=est[1]), Point32(x=cols, y=rows), Point32(x=w, y=h)] \n self.pub_yolo_detection.publish(msg)\n\n # cv2.imshow(\"Image window\", cv2_img)\n # cv2.waitKey(3)\n\n self.pub_images(cv2_img)\n self.is_new_img = False","def visualize_detection(self, image):\n\t\tH, W, _ = image.shape\n\t\tpos_list = self.apply_detection(image)\n\t\tdetections = {}\n\t\thasDetection = False\n\t\tfor i, L in enumerate(pos_list):\n\t\t\ttext, coordinates = L[0], L[1]\n\t\t\tCOLOR = COLORS[text]\n\t\t\tfor x, y, w, h in coordinates:\n\t\t\t\t# prune bad homography points\n\t\t\t\tif x < 0 or y < 0 or x + w > W or \\\n\t\t\t\t y + h > H or w <= 1 or h <= 1:\n\t\t\t\t\tcontinue\n\t\t\t\t# add the detection to the dict for tracking\n\t\t\t\tdetections[self.num_detect] = (x, y, w, h)\n\t\t\t\tself.detection_index[self.num_detect] = (x, y, w, h, self.num_save, text)\n\t\t\t\tself.num_detect += 1\n\t\t\t\thasDetection = True\n\t\t\t\t# if the detection is human\n\t\t\t\tif text == 'face':\n\t\t\t\t\tgender = self.genderDetect.classify(image[y:y+h, x:x+w, :])\n\t\t\t\t\tgender = 'female' if gender[0] < 0.5 else 'male'\n\t\t\t\t\tcv2.putText(image, gender, (x + w // 2 -10, y + h + 15),\n\t\t\t\t\t\tcv2.FONT_HERSHEY_SIMPLEX, 0.6, COLOR, 2, cv2.LINE_AA)\n\n\t\t\t\timage = cv2.rectangle(image, (x, y), (x + w, y + h), COLOR, 2)\n\t\t\t\tcv2.putText(image, text, (x, y - 5),\n\t\t\t\t\tcv2.FONT_HERSHEY_SIMPLEX, 0.6, COLOR, 2, cv2.LINE_AA)\n\t\tif hasDetection:\n\t\t\tself.detection_frames[self.num_save] = detections\n\t\tself.num_save +=1\n\t\treturn image","def cs4243_histmatch(ori_image, refer_image):\n \n ##your code here ###\n\n # get cdf of ori and ref image\n grey_level = 256\n ori_hist, ori_cum_hist, ori_res_image, ori_uni_hist = cs4243_histequ(ori_image, grey_level)\n ref_hist, ref_cum_hist, ref_res_image, ref_uni_hist = cs4243_histequ(refer_image, grey_level)\n \n # map each ori cdf to ref cdf and get the mapped index as matched grey level\n map_value = []\n for i in range(grey_level):\n ori_cdf = ori_cum_hist[i]\n matched_intensity = np.uint8(np.abs(ref_cum_hist - ori_cdf).argmin())\n map_value.append(matched_intensity)\n ##\n\n # Set the intensity of the pixel in the raw image to its corresponding new intensity \n height, width = ori_image.shape\n res_image = np.zeros(ori_image.shape, dtype='uint8') # Note the type of elements\n for i in range(height):\n for j in range(width):\n res_image[i,j] = map_value[ori_image[i,j]]\n \n res_hist = np.bincount(res_image.flatten(), minlength=256)\n \n return ori_hist, ref_hist, res_image, res_hist","def observation(self, img):\r\n img = img[25:200]\r\n img = cv2.resize(img, self.img_size[1:])\r\n if not self.color:\r\n img = img.mean(-1, keepdims=True)\r\n\r\n return img.transpose([2, 0, 1]) / 255","def perform_event_analysis():\n\n tol = 2.0 # Arcmin\n calib_on_colours = False\n\n params = get_args()\n\n log = start_log(params)\n\n (star_catalog,image_trios,catalog_header) = read_combined_star_catalog(params,log)\n\n lightcurves = read_lightcurves(params,log)\n\n target = find_target_data(params,star_catalog,lightcurves,image_trios,log)\n\n (source, blend) = calc_source_blend_params(params,log)\n\n source = calc_source_lightcurve(source, target, log)\n\n measure_photometric_source_colours(params,target,log)\n\n (det_idx, cat_idx, close_cat_idx) = index_valid_star_entries(star_catalog,\n target,tol,log,\n valid_cat=True)\n\n deltas = calibrate_instrumental_colour_colour_diagram(params,star_catalog,\n catalog_header,target,\n det_idx,cat_idx,close_cat_idx,\n log,\n calib=calib_on_colours)\n\n RC = localize_red_clump(star_catalog,close_cat_idx,log)\n\n analyse_colour_mag_diagrams(params,star_catalog,catalog_header,\n target, source,blend,RC,\n det_idx,cat_idx,close_cat_idx,log)\n\n RC = measure_RC_offset(params,RC,target,log)\n\n (target,source,blend) = calc_phot_properties(target, source, blend, RC, log)\n\n plot_colour_colour_diagram(params,star_catalog,catalog_header,\n target, source, blend, RC,\n det_idx,cat_idx,close_cat_idx, log)\n\n (source, blend) = match_source_blend_isochrones(params,source,blend,log)\n\n (source, blend) = calc_source_blend_ang_radii(source, blend, log)\n\n (source, blend) = calc_source_blend_physical_radii(source, blend, log)\n\n (source,blend) = calc_source_blend_distance(source, blend, RC, log)\n\n lens = calc_lens_parameters(params, source, RC, log)\n\n output_red_clump_data_latex(params,RC,log)\n\n output_source_blend_data_latex(params,source,blend,log)\n\n output_lens_parameters_latex(params,source,lens,log)","def image_preprocessing(img):\n\n # Removing parasite data (sky, trees and front of the car)\n return img[60:-20, :, :]","def detect_velocity(image):\n nonlocal prev, v_last\n curr_bgr = cv.warpPerspective(image, M, (160, 120))\n curr = cv.cvtColor(curr_bgr, cv.COLOR_BGR2GRAY)\n\n if prev is None:\n prev = curr\n v_last = 0.0\n return v_last, curr_bgr, np.zeros_like(image)\n\n flow = cv.calcOpticalFlowFarneback(\n prev, # Previous image\n curr, # Current image\n None, # Computed flow image that has the same size oas prev and type CV_32FC2.\n 0.5, # Specifies the image scale (<1) to build pyramids for each image.\n 3, # Number of pyramid layers including the initial image.\n 15, # winsize, averaging windows size.\n 3, # iterations, number of iterations the algorithm does at each pyramid level.\n 5, # standard deviation of the Gaussian that is used to smooth derivative\n 1.5,\n 0)\n\n mag, ang = cv.cartToPolar(flow[..., 0], flow[..., 1])\n\n v = mag * np.sin(ang)\n\n ######################\n ## Histogram for mag\n ar = np.arange(-20.0, 20.0, 0.50, dtype=np.float)\n his = np.histogram(v, bins=ar)\n\n for i, n in enumerate(his[0]):\n bgr = (255, 255, 0)\n if his[1][i] < 0:\n bgr = (0, 255, 255)\n\n #print('[{}] {} - {}'.format(i, n, his[1][i]))\n cv.rectangle( image, #curr_bgr,\n (i*2, HEIGHT),\n (i*2, HEIGHT - int(n / 10)),\n bgr, #(0, 255, 255),\n cv.FILLED)\n\n hsv = np.zeros_like(image)\n hsv[..., 0] = ang * 180 / np.pi / 2\n hsv[..., 1] = 255\n hsv[..., 2] = cv.normalize(np.abs(v), None, 0, 255, cv.NORM_MINMAX)\n hsv_bgr = cv.cvtColor(hsv, cv.COLOR_HSV2BGR)\n ##\n ######################\n\n v_abs = np.absolute(v)\n v = v[v_abs >= np.percentile(v_abs, VELOCITY_CUTOFF_PCT)]\n\n v_max = v_last + MAX_ACC\n v_min = v_last - MAX_ACC\n v = np.clip(v, v_min, v_max)\n if v.size > 0:\n v_avg = v.mean()\n else:\n if v_last > 0:\n v_avg = max(v_last - MAX_ACC, 0)\n elif v_last < 0:\n v_avg = min(v_last + MAX_ACC, 0)\n else:\n v_avg = 0\n\n prev = curr\n v_last = v_avg\n return v_last, curr_bgr, hsv_bgr","def detect_sea_lions_in_image(filename,\n model,\n patch_h,\n patch_w,\n resize_image_patch_to_h, \n resize_image_patch_to_w,\n resize_mask_patch_to_h,\n resize_mask_patch_to_w,\n display_mask=False):\n\n train_image = cv2.imread(filename)\n image_patches_list = dhap.slice_the_image_into_patches(train_image, patch_h, patch_w)\n\n # Recombine the image from the patches (train_image.shape != image.shape)\n # bacause the size of the image is adjusted to be a multiple of patch_h and patch_w. \n image = dhap.combine_pathes_into_image(image_patches_list)\n\n if (display_mask == True):\n fig, ax = plt.subplots()\n cax = ax.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))\n cbar = fig.colorbar(cax)\n plt.axis(\"off\")\n plt.show() \n\n # Resize the patches to the ones used by the model.\n image_patches_list = dhap.resize_patches_in_patches_list(image_patches_list, \n resize_image_patch_to_h, \n resize_image_patch_to_w)\n\n mask_patches_list = apply_model_to_image_patches_list(image_patches_list, model)\n\n # The model outputs a (1,n) vertor. Reshape it to a matrix.\n mask_patches_list = reshape_patches_list(mask_patches_list,\n resize_mask_patch_to_h,\n resize_mask_patch_to_w)\n\n mask_patches_list = resized_image_patches_list = dhap.resize_patches_in_patches_list(mask_patches_list, \n patch_h, \n patch_w)\n\n mask = dhap.combine_pathes_into_mask(mask_patches_list)\n\n image = dhap.apply_mask(image, mask)\n\n if (display_mask == True):\n fig, ax = plt.subplots()\n cax = ax.imshow(mask)\n cbar = fig.colorbar(cax)\n plt.axis(\"off\")\n plt.show() \n\n\n if (display_mask == True):\n fig, ax = plt.subplots()\n cax = ax.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))\n cbar = fig.colorbar(cax)\n plt.axis(\"off\")\n plt.show() \n\n\n\n print(mask_patches_list[0][0].shape)\n\n\n #combine_pathes_into_image(patches_list","def find_objects_in_image(self, image, visualize):\n self.select(image)\n\n for scan_region in self.scan_regions:\n self.set_scaling(scan_region[0])\n full, small = self.find_instances(image, scan_region[1], 0.5)\n if (visualize):\n fig = plt.figure(figsize=(30, 20))\n plt.imshow(small)\n plt.title(\"Scan region {} using scaling {}\".format(scan_region[1], scan_region[0]))\n plt.show()","def GAN_COLOUR_FEATURE(image):\n import cv2\n import numpy as np\n \n \n img = cv2.imread(image)\n hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)\n ycc = cv2.cvtColor(img,cv2.COLOR_BGR2YCrCb)\n \n Feature = np.concatenate([cooccurence_3D_matrix(img, True),\n cooccurence_2D_matrix(hsv[:,:,0],True),\n cooccurence_2D_matrix(hsv[:,:,1],True),\n cooccurence_2D_matrix(ycc[:,:,1],True),\n cooccurence_2D_matrix(ycc[:,:,2],True)],\n axis = None)\n \n return Feature","def traffic_light_detection(img_in, radii_range, noisy_image=False, max_x_offset=5):\n\n img = process_base_image(img_in, (7, 7))\n\n # find all the circles in an image using Hough Circles\n min_radii = min(radii_range)\n max_radii = max(radii_range)\n # the distance between the circles should be the smallest possible circles that can touch.\n min_dist = min_radii * 2 + 10\n\n # img, dp, min_dist, param1, param2, minRad, maxRad\n if noisy_image:\n circles = hough_circles(img, 1.55, min_dist, 20, 15, min_radii, max_radii)\n else:\n circles = hough_circles(img, 1.125, min_dist, 30, 20, min_radii, max_radii)\n\n if circles is None:\n return (0, 0), None\n else:\n # cleanup circles so its easier to use.\n circles = circles[0, :]\n # round the numbers of the array to uint16 values.\n circles = np.uint16(np.around(circles))\n\n if len(circles) < 3:\n return (1000, 1000), None\n else: # If there are more than 3 circles found, eliminate the outliers that shouldn't be detected.\n # sort the circles first by x, then by Radius value, then by Y value.\n circles = sorted(circles, key=lambda c: (c[0], c[2], c[1]))\n\n # since the traffic lights will be a group of 3 circles with a similar radius, then x value, then somewhat close\n # in y value, use a \"window\" type of sliding group to create groups of 3 circles that can then be compared\n # to each other to see if they would make up circles of a traffic light.\n circle_groups = []\n for c_idx in range(len(circles) - 2):\n circle_group = circles[c_idx: c_idx + 3] # build the group\n circle_groups.append(circle_group)\n\n circle_groups = np.array(circle_groups)\n # for each circle group found, need to figure out the group with the lowest overall standard deviation.\n # for each group, calculate the std deviations.\n group_deviations = np.array([circle_group_deviations(g) for g in circle_groups])\n\n most_similar_idx = np.argmin(group_deviations)\n final_circles = circle_groups[most_similar_idx]\n\n # if the circles aren't close to each other in the X direction, return\n # none since its not a traffic light.\n x_diffs = np.diff(final_circles[:, 0])\n if np.any(x_diffs >= max_x_offset):\n return (None, None), None\n\n # sort the circles from top down to allow color compare.\n circles = final_circles[np.argsort(final_circles[:, 1])] # sort by Y direction.\n # creating some names for clarity due to x, y being col, row.\n red_row, red_col, yellow_row, yellow_col, green_row, green_col = [\n circles[0][1],\n circles[0][0],\n circles[1][1],\n circles[1][0],\n circles[2][1],\n circles[2][0],\n ]\n\n # determine colors.\n state = 'yellow' # default state.\n cords = (yellow_col, yellow_row)\n\n red_color = np.array([0, 0, 255])\n green_color = np.array([0, 255, 0])\n\n # stop for false positive labels.\n if img_in[yellow_row, yellow_col][0] > 10:\n return (None, None), None\n\n if (img_in[red_row, red_col] == red_color).all():\n state = 'red'\n elif (img_in[green_row, green_col] == green_color).all():\n state = 'green'\n\n # print 'Color of TL midpoint is {}'.format(img_in[yellow_row, yellow_col])\n\n return cords, state","def detect(img, template):\r\n\r\n #detect threshold\r\n args = parse_args()\r\n threshold=dictornary(args)\r\n\r\n # detect edges of image\r\n \"\"\"prewitt_x = [[1, 0, -1]] * 3\r\n prewitt_y = [[1] * 3, [0] * 3, [-1] * 3]\r\n img_x = task1.detect_edges(img, prewitt_x, False)\r\n img_y = task1.detect_edges(img, prewitt_y, False)\r\n img_norm = task1.edge_magnitude(img_x, img_y)\r\n\r\n task1.write_image(task1.normalize(img_norm), \".//img_norm.jpg\")\r\n\r\n # detect edges in template\r\n\r\n temp_x = task1.detect_edges(template, prewitt_x, False)\r\n temp_y = task1.detect_edges(template, prewitt_y, False)\r\n template_norm = task1.edge_magnitude(temp_x, temp_y)\r\n\r\n task1.write_image(task1.normalize(template_norm), \".//template_norm.jpg\") \"\"\"\r\n\r\n img_norm = task1.normalize(img)\r\n template_norm = task1.normalize(template)\r\n\r\n coordinates = []\r\n temp_h = len(template_norm)\r\n temp_w = len(template_norm[0])\r\n\r\n rows = len(img_norm)\r\n cols = len(img_norm[0])\r\n\r\n output = [[0 for x in range(len(img_norm[0]))] for y in range(len(img_norm))]\r\n cropped_img = [[0 for x in range(temp_w)] for y in range(temp_h)]\r\n\r\n for i in range(rows):\r\n for j in range(cols):\r\n\r\n if ((i +temp_h) < rows and (j + temp_w < cols)):\r\n cropped_img = utils.crop(img_norm, i, i + temp_h, j, j + temp_w)\r\n\r\n\r\n img_mul_temp = utils.elementwise_mul(cropped_img, template_norm)\r\n sum = 0\r\n # sum of every elemnet in img_mul_temp\r\n for p in range(temp_h):\r\n for q in range(temp_w):\r\n sum += img_mul_temp[p][q]\r\n\r\n # squaring every element in denominator of image\r\n square_img = utils.elementwise_mul(cropped_img, cropped_img)\r\n numsum_img = 0\r\n for d in range(len(cropped_img)):\r\n for e in range(len(cropped_img[0])):\r\n numsum_img += square_img[d][e]\r\n\r\n # squaring every element in denominator of template\r\n square_temp = utils.elementwise_mul(template_norm, template_norm)\r\n numsum_temp = 0\r\n for k in range(temp_h):\r\n for l in range(temp_w):\r\n numsum_temp += square_temp[k][l]\r\n\r\n denominator = np.sqrt((numsum_img * numsum_temp))\r\n\r\n if (denominator != 0):\r\n output[i][j] = (sum / denominator)\r\n if (output[i][j] > threshold):\r\n coordinates.append([i, j])\r\n\r\n # TODO: implement this function.\r\n # raise NotImplementedError\r\n return coordinates","def get_classification(self, image):\n if self.correct_gamma:\n if self.gamma == 1.0:\n self.gamma = 0.6\n elif self.gamma == 0.6:\n self.gamma = 1.0\n image = self.adjust_gamma(image, self.gamma)\n image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n image_np = np.asarray(image, dtype=\"uint8\")\n image_np_expanded = np.expand_dims(image_np, axis=0)\n\n detected = False\n\n with self.detection_graph.as_default():\n (boxes, scores, classes, num) = self.sess.run(\n [self.detection_boxes, self.detection_scores, self.detection_classes, self.num_detections],\n feed_dict={self.image_tensor: image_np_expanded})\n boxes = np.squeeze(boxes)\n classes = np.squeeze(classes).astype(np.int32)\n scores = np.squeeze(scores)\n best_scores = []\n\n for idx, classID in enumerate(classes):\n if self.MODEL_NAME == 'ssdlite_mobilenet_v2_coco_2018_05_09':\n if classID == 10: # 10 is traffic light\n if scores[idx] > 0.10: #confidence level\n best_scores.append([scores[idx], idx, classID])\n detected = True\n else: # we tuned the model to classify only traffic lights\n if scores[idx] > 0.10: # confidence level\n best_scores.append([scores[idx], idx, classID])\n detected = True\n\n tl_index = TrafficLight.UNKNOWN\n if detected:\n best_scores.sort(key=lambda tup: tup[0], reverse=True)\n\n best_score = best_scores[0]\n rospy.logdebug(\"number of TL found %d, best score: %f, color: %f\", len(best_scores), best_score[0], best_score[2])\n nbox = boxes[best_score[1]]\n\n height = image.shape[0]\n width = image.shape[1]\n\n box = np.array([nbox[0]*height, nbox[1]*width, nbox[2]*height, nbox[3]*width]).astype(int)\n box_height = box[2] - box[0]\n box_width = box[3] - box[1]\n ratio = float(box_height)/float(box_width)\n rospy.logdebug(\"ratio: %f\", ratio)\n if ratio >= 2.0 and ratio < 3.0: #started from 2.4\n tl_cropped = image[box[0]:box[2], box[1]:box[3]]\n tl_color, tl_index = self.get_color(tl_cropped)\n #color = ['RED', 'YELLOW', 'GREEN', 'UNKNOWN']\n #tl_index = best_score[2]\n #tl_color = color[tl_index]\n #augment image with detected TLs\n cv2.rectangle(image, (box[1], box[0]), (box[3], box[2]), (0, 255, 0), 2)\n font = cv2.FONT_HERSHEY_SIMPLEX\n font_color = (255, 255, 255)\n cv2.putText(image, tl_color, (box[1], box[0]), font, 2.0, font_color, lineType=cv2.LINE_AA)\n return image, tl_index","def describe(image):\n needle = cv2.imread(image, 0)\n orb = cv2.ORB()\n keypoints, description = orb.detectAndCompute(needle, None)\n print(keypoints)\n print(description)\n return keypoints, description","def main():\n stats = []\n start = timer()\n\n for file_name in get_dataset():\n\n # load image and ground truth detection mask\n img = cv2.imread(settings.PATH + file_name)\n ground_truth_mask = cv2.imread(settings.PATH_GT_MASKS + file_name)\n\n # Find list of barcode regions (rotated rectangle) within image\n barcode_regions, debug_img = find_barcodes(img)\n barcode_regions_mask = np.zeros(img.shape, np.uint8)\n barcode_images = None\n result = []\n\n # Decode barcode regions\n for barcode_region in barcode_regions:\n\n # Decode barcode image\n barcode_img = barcode_region.extract_from(img)\n barcode_mask = barcode_region.get_mask(img)\n debug_img = barcode_region.draw(debug_img)\n\n # Combine masks from multiple detected regions\n barcode_regions_mask += barcode_mask\n\n # Decode barcode\n decoded = pyzbar.decode(barcode_img)\n\n # Keep result for logging\n data = \", \".join([d.data.decode(\"utf-8\") for d in decoded])\n result.append({\"data\": data, \"region\": barcode_region.json()})\n\n if settings.SHOW_IMAGE:\n barcode_images = img_concat(barcode_images, barcode_img)\n\n # Jaccard_accuracy = intersection over union of the two binary masks\n jaccard_accuracy = 0\n if ground_truth_mask is not None:\n r = barcode_regions_mask.max(axis=-1).astype(bool)\n u = ground_truth_mask.max(axis=-1).astype(bool)\n jaccard_accuracy = float((r & u).sum()) / (r | u).sum()\n stats.append(jaccard_accuracy)\n\n # Log result\n logger.info(\n \"Image processed\",\n file_name=file_name,\n jaccard_accuracy=jaccard_accuracy,\n success=jaccard_accuracy > 0.5,\n result=result,\n )\n\n # In debug mode show visualization of detection algorithm\n if settings.SHOW_IMAGE:\n\n # Add alpha channel\n debug_img = cv2.cvtColor(debug_img, cv2.COLOR_BGR2BGRA)\n if barcode_images is not None:\n barcode_images = cv2.cvtColor(barcode_images, cv2.COLOR_BGR2BGRA)\n\n # Overlay error mask\n # Pixel-wise difference between ground truth and detected barcodes\n if ground_truth_mask is not None:\n error_img = np.zeros(debug_img.shape, np.uint8)\n error_img[r & u] = np.array([0, 0, 0, 0], dtype=np.uint8)\n error_img[np.logical_xor(r, u)] = np.array(\n [0, 0, 255, 1], dtype=np.uint8\n )\n debug_img = cv2.addWeighted(debug_img, 1, error_img, 0.5, 0)\n\n # Append barcode pictures to the right\n debug_img = img_concat(debug_img, barcode_images, axis=1)\n\n # Show visualization\n cv2.namedWindow(\"img\", cv2.WINDOW_NORMAL)\n cv2.imshow(\"img\", debug_img)\n cv2.waitKey(0)\n\n # Calculate final stats\n end = timer()\n accuracy = np.array(stats).mean()\n successes = np.where(np.array(stats) > 0.5)[0]\n logger.info(\n \"Final stats\",\n accuracy=accuracy,\n detection_rate=float(len(successes)) / len(stats),\n fps=len(stats) / (end - start),\n )","def draw_boxes_cars(img, vehicles_instance):\n\n for car_number in range(1, vehicles_instance.number_of_found_cars+1):\n # Find pixels with each car_number label value\n nonzero = (vehicles_instance.binary_map == car_number).nonzero()\n\n # Identify x and y values of those pixels\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n\n # Define a bounding box based on min/max x and y\n bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))\n\n # Draw the box on the image\n cv2.rectangle(img, bbox[0], bbox[1], (0, 0, 255), 6)\n\n return img","def __image_pipeline(self, img):\n \n ##### Lane finding pipeline #######\n resized = self.__resize_image(img)\n undistorted = self.__correct_distortion(resized)\n warped = self.__warp_image_to_biv(undistorted)\n thresholded = self.__threshold_image(warped)\n lines = self.__get_lane_lines(thresholded)\n lane_img = self.__draw_lane_lines(undistorted, thresholded, include_stats=True)\n\n\n ##### Vehicle Tracking pipeline #####\n\n hot_windows = self.windFinder.get_hot_windows(img)\n car_boxes, wrap_img = self.vTracker.image_pipeline(img, hot_windows,\n return_img=False) \n # img = cv2.addWeighted(img, 1, wrap_img, 0.5, 0)\n result = self.__draw_boxes(lane_img, car_boxes)\n\n return result","def test_find_tfl_lights(image_path, json_path=None, fig_num=None):\n image = np.array(Image.open(image_path))\n if json_path is None:\n objects = None\n else:\n gt_data = json.load(open(json_path))\n what = ['traffic light']\n objects = [o for o in gt_data['objects'] if o['label'] in what]\n\n show_image_and_gt(image, objects, fig_num)\n\n red_x, red_y, green_x, green_y = find_tfl_lights(image)\n plt.plot(red_x, red_y, 'ro', color='r', markersize=3)\n plt.plot(green_x, green_y, 'ro', color='g', markersize=3)","def check_central_star(all_images,x_star0,y_star0,all_titles,all_filt,Dx=100,Dy=50):\n index=0\n \n x_star = []\n y_star = []\n \n for image in all_images:\n x0=int(x_star0[index])\n y0=int(y_star0[index])\n \n old_x0=x0-(x0-Dx)\n old_y0=y0-(y0-Dy)\n \n sub_image=np.copy(image[y0-Dy:y0+Dy,x0-Dx:x0+Dx])\n NX=sub_image.shape[1]\n NY=sub_image.shape[0]\n \n profile_X=np.sum(sub_image,axis=0)\n profile_Y=np.sum(sub_image,axis=1)\n X_=np.arange(NX)\n Y_=np.arange(NY)\n \n profile_X_max=np.max(profile_X)*1.2\n profile_Y_max=np.max(profile_Y)*1.2\n \n avX,sigX=weighted_avg_and_std(X_,profile_X**4) ### better if weight squared\n avY,sigY=weighted_avg_and_std(Y_,profile_Y**4) ### really avoid plateau contribution\n #print index,'\\t',avX,avY,'\\t',sigX,sigY\n \n f, (ax1, ax2,ax3) = plt.subplots(1,3, figsize=(20,4))\n\n ax1.imshow(sub_image,origin='lower',vmin=0,vmax=10000,cmap='rainbow')\n ax1.plot([avX],[avY],'ko')\n ax1.grid(True)\n ax1.set_xlabel('X - pixel')\n ax1.set_ylabel('Y - pixel')\n \n ax2.plot(X_,profile_X,'r-',lw=2)\n ax2.plot([old_x0,old_x0],[0,profile_X_max],'y-',label='old',lw=2)\n ax2.plot([avX,avX],[0,profile_X_max],'b-',label='new',lw=2)\n \n \n ax2.grid(True)\n ax2.set_xlabel('X - pixel')\n ax2.legend(loc=1)\n \n ax3.plot(Y_,profile_Y,'r-',lw=2)\n ax3.plot([old_y0,old_y0],[0,profile_Y_max],'y-',label='old',lw=2)\n ax3.plot([avY,avY],[0,profile_Y_max],'b-',label='new',lw=2)\n \n ax3.grid(True)\n ax3.set_xlabel('Y - pixel')\n ax3.legend(loc=1)\n \n \n thetitle=\"{} : {} , {} \".format(index,all_titles[index],all_filt[index])\n f.suptitle(thetitle, fontsize=16)\n \n theX=x0-Dx+avX\n theY=y0-Dy+avY\n \n x_star.append(theX)\n y_star.append(theY)\n \n \n index+=1\n \n x_star=np.array(x_star)\n y_star=np.array(y_star)\n \n return x_star,y_star","def histo_image(image, verbose=False):\n gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n\n histo_global = cv2.equalizeHist(gray)\n\n _, histo = cv2.threshold(histo_global, thresh=250,\n maxval=255, type=cv2.THRESH_BINARY)\n\n if verbose:\n plt.imshow(histo, cmap='gray')\n plt.show()\n\n return histo","def plot_HDres_histos_vs_z(\n df,\n nameout,\n threshold_var=\"class0\",\n threshold_list=[0.5, 0.7, 0.9],\n threshold_sign=\">\",\n):\n\n P = df[df[\"class0\"] > 0.5]\n Ias = df[df[\"target\"] == 0]\n\n TP = P[P[\"target\"] == 0]\n FP = P[P[\"target\"] != 0]\n\n sel_TP_dic = {}\n sel_FP_dic = {}\n for t in threshold_list:\n if threshold_sign == \">\":\n sel_TP_dic[t] = TP[TP[threshold_var] > t]\n sel_FP_dic[t] = FP[FP[threshold_var] > t]\n else:\n sel_TP_dic[t] = TP[TP[threshold_var] < t]\n sel_FP_dic[t] = FP[FP[threshold_var] < t]\n\n plt.clf()\n cm = CMAP\n fig = plt.figure(figsize=(14, 14))\n # gs = gridspec.GridSpec(4, 2, width_ratios=[3, 1], height_ratios=[2, 2, 1, 1])\n # gs.update(wspace=0.1, hspace=0.3)\n\n # # gridspec init\n # ax00 = plt.subplot(gs[0, 0]) # Hres Ia\n # ax10 = plt.subplot(gs[1, 0], sharex=ax00) # Hres CC\n # ax20 = plt.subplot(gs[2:, 0], sharex=ax00) # efficiency\n # ax01 = plt.subplot(gs[0, 1], sharey=ax00) # histo Ia\n # ax11 = plt.subplot(gs[1, 1], sharey=ax10) # histo CC\n # ax21 = plt.subplot(gs[2, 1]) # histo x1\n # ax31 = plt.subplot(gs[3, 1]) # histo c\n gs = gridspec.GridSpec(3, 3, height_ratios=[2, 2, 1])\n # gs.update(wspace=0.2, hspace=0.1)\n\n # gridspec init\n ax00 = plt.subplot(gs[0, 0:2]) # Hres Ia\n ax10 = plt.subplot(gs[1, 0:2], sharex=ax00) # Hres CC\n ax20 = plt.subplot(gs[2, 0]) # redshift dist\n ax01 = plt.subplot(gs[0, 2], sharey=ax00) # histo Ia\n ax11 = plt.subplot(gs[1, 2], sharey=ax10) # histo CC\n ax21 = plt.subplot(gs[2, 1]) # histo x1\n ax31 = plt.subplot(gs[2, 2]) # histo c\n\n # lines\n ax00.plot([0, 1.2], np.zeros(len([0, 1.2])), \"k:\")\n ax10.plot([0, 1.2], np.zeros(len([0, 1.2])), \"k:\")\n\n mubins = np.arange(-2, 2 + 0.1, 0.1)\n\n # Hres w. histogram\n def HRwhisto(\n df, sel_dic, ax_left, ax_right, threshold_sign, ylabel=\"TP\", visible=False\n ):\n if ylabel == \"TP\":\n sntyp = \"Ia\"\n else:\n sntyp = \"CC\"\n ax_left.scatter(\n df[\"SIM_REDSHIFT_CMB\"],\n df[\"delmu\"],\n c=df[\"class0\"],\n cmap=CMAP,\n vmin=0.5,\n vmax=1,\n s=8,\n )\n ax_left.errorbar(\n df[\"SIM_REDSHIFT_CMB\"],\n df[\"delmu\"],\n yerr=df[\"delmu_err\"],\n color=\"gray\",\n zorder=0,\n fmt=\"none\",\n marker=\"none\",\n )\n\n ax_left.set_ylim(-2, 2)\n ax_left.set_xlim(0, 1.2)\n ax_left.set_ylabel(f\"{ylabel} residual\", fontsize=18)\n ax_left.tick_params(labelsize=14)\n plt.setp(ax_left.get_xticklabels(), visible=visible)\n if visible is True:\n ax_left.set_xlabel(\"simulated redshift\", fontsize=18)\n for t in threshold_list:\n sel = sel_dic[t]\n n_SNe = len(sel)\n ax_right.hist(\n sel[\"delmu\"],\n orientation=\"horizontal\",\n histtype=\"step\",\n color=cm(t),\n bins=mubins,\n density=True,\n label=f\"{n_SNe} {sntyp} {threshold_sign} {t}\",\n lw=2,\n )\n ax_right.legend(loc=\"lower center\", prop={\"size\": 13})\n plt.setp(ax_right.get_yticklabels(), visible=False)\n plt.setp(ax_right.get_xticklabels(), visible=False)\n ax_right.plot(\n [ax_right.get_xlim()[0], ax_right.get_xlim()[1]],\n np.zeros(len([ax_right.get_xlim()[0], ax_right.get_xlim()[1]])),\n \"k:\",\n )\n\n HRwhisto(TP, sel_TP_dic, ax00, ax01, threshold_sign, ylabel=\"TP\", visible=False)\n HRwhisto(FP, sel_FP_dic, ax10, ax11, threshold_sign, ylabel=\"FP\", visible=True)\n\n # z histos\n n, bins_to_use, tmp = ax20.hist(\n Ias[\"SIM_REDSHIFT_CMB\"], histtype=\"step\", color=\"black\", bins=15, lw=3\n )\n\n for t in threshold_list:\n sel_TP = sel_TP_dic[t]\n sel_FP = sel_FP_dic[t]\n ax20.hist(\n sel_TP[\"SIM_REDSHIFT_CMB\"], histtype=\"step\", color=cm(t), bins=bins_to_use\n )\n ax20.hist(\n sel_FP[\"SIM_REDSHIFT_CMB\"],\n histtype=\"step\",\n color=cm(t),\n linestyle=\"--\",\n bins=bins_to_use,\n )\n ax20.set_xlim(0, 1.2)\n ax20.tick_params(labelsize=14)\n ax20.set_xlabel(\"simulated redshift\", fontsize=18)\n\n # hist stretch\n n, bins_to_use, tmp = ax21.hist(Ias[\"x1\"], color=\"black\", histtype=\"step\", lw=3)\n for t in threshold_list:\n sel_TP = sel_TP_dic[t]\n ax21.hist(\n sel_TP[\"x1\"],\n orientation=\"vertical\",\n histtype=\"step\",\n color=cm(t),\n bins=bins_to_use,\n lw=2,\n )\n ax21.set_xlabel(\"x1\", fontsize=18)\n ax21.yaxis.set_label_position(\"right\")\n ax21.set_xlim(-3, 3)\n ax21.tick_params(labelsize=14)\n # color histo\n n, bins_to_use, tmp = ax31.hist(Ias[\"c\"], color=\"black\", histtype=\"step\", lw=3)\n for t in threshold_list:\n sel_TP = sel_TP_dic[t]\n ax31.hist(\n sel_TP[\"c\"],\n orientation=\"vertical\",\n histtype=\"step\",\n color=cm(t),\n bins=bins_to_use,\n lw=2,\n )\n ax31.set_xlabel(\"c\", fontsize=18)\n ax31.set_xlim(-1, 1)\n ax31.tick_params(labelsize=14)\n ax31.yaxis.set_label_position(\"right\")\n\n gs.tight_layout(fig)\n plt.savefig(nameout)\n plt.close()\n del fig","def get_classification(self, image):\n hsv_image = cv2.cvtColor(image,cv2.COLOR_BGR2HSV)\n red_low = np.array([0, 100, 100],np.uint8)\n red_high = np.array([10, 255, 255],np.uint8) \n red1_low = np.array([160, 100, 100],np.uint8)\n red1_high = np.array([179, 255, 255],np.uint8)\n \n if cv2.countNonZero(cv2.inRange(hsv_image,red_low,red_high))+cv2.countNonZero(cv2.inRange(hsv_image,red1_low,red1_high))>45:\n return TrafficLight.RED\n \n yel_low = np.array([28, 100, 100],np.uint8)\n yel_high = np.array([48, 255, 255],np.uint8)\n if cv2.countNonZero(cv2.inRange(hsv_image, yel_low, yel_high)) > 45:\n return TrafficLight.YELLOW\n \n gr_low = np.array([64, 100, 100],np.uint8)\n gr_high = np.array([100, 255, 255],np.uint8)\n if cv2.countNonZero(cv2.inRange(hsv_image, gr_low, gr_high)) > 45:\n return TrafficLight.GREEN\n \n return TrafficLight.UNKNOWN","def detect(self, img: np.ndarray) -> np.ndarray:\n filtered = self.filter(img)\n\n # Detect edges\n edges = cv2.Canny(np.uint8(filtered * 255), self.canny_lo, self.canny_hi)\n\n # Obtain the gradients for filtering.\n # We only require local gradients, so obtaining them only when required would make sense.\n dx = cv2.Scharr(filtered, cv2.CV_32F, 1, 0)\n dy = cv2.Scharr(filtered, cv2.CV_32F, 0, 1)\n\n # Now the stroke width transform already detects lo-hi-lo edges for us, but it is an extremely slow\n # implementation I did.\n if self._stroke_filter:\n gradients = (dx, dy)\n for y in range(0, edges.shape[0]):\n for x in range(0, edges.shape[1]):\n if edges[y, x] == 0:\n continue\n ray = swt_process_pixel((x, y), edges, gradients, min_length=5, max_length=20)\n if ray is None:\n edges[y, x] = 0\n else:\n edges = non_line_suppression(filtered, edges, dx, dy)\n\n if self._morphological_filtering:\n edges = cv2.morphologyEx(edges, cv2.MORPH_BLACKHAT, np.ones(shape=(5, 5)))\n edges = cv2.medianBlur(edges, 3)\n\n if self.detect_lines:\n lines = cv2.HoughLinesP(edges, 1, np.pi / 90, self.hough_line_support,\n minLineLength=self.hough_line_length, maxLineGap=self.hough_line_gap)\n edge_lines = np.zeros_like(edges)\n if lines is None:\n return edge_lines\n for line in lines:\n x1, y1, x2, y2 = line[0]\n cv2.line(edge_lines, (x1, y1), (x2, y2), 255, 2)\n else:\n edge_lines = edges\n\n return edge_lines","def harris_corner_detector(img, image_name):\n x_len = img.shape[0]\n y_len = img.shape[1]\n\n horizontal_sobel_filter = np.array([[1, 2, 1],\n [0, 0, 0],\n [-1, -2, -1]])\n\n vertical_sobel_filter = np.array([[-1, 0, 1],\n [-2, 0, 2],\n [-1, 0, 1]])\n\n # Compute edge strength of pixels in image\n gx = MyConvolve(img, horizontal_sobel_filter) \n gy = MyConvolve(img, vertical_sobel_filter)\n\n # Compute product of derivatives\n I_xx = gx * gx\n I_xy = gx * gy\n I_yy = gy * gy\n\n # Define Gaussian kernel\n kernel = gauss_kernels(3)\n \n # Convolve product of derivatives (I_xx, I_xy, I_yy)\n W_xx = MyConvolve(I_xx, kernel)\n W_xy = MyConvolve(I_xy, kernel)\n W_yy = MyConvolve(I_yy, kernel)\n\n # Initialise response matrix\n response = np.zeros(img.shape)\n\n # Compute response for pixels that will be taken into consideration\n for x in range(1, x_len - 1):\n for y in range(1, y_len - 1):\n w = np.array([[W_xx[x, y], W_xy[x, y]],\n [W_xy[x, y], W_yy[x, y]]])\n det_W = np.linalg.det(w)\n trace_W = np.trace(w)\n response[x, y] = det_W - 0.06 * trace_W * trace_W\n\n # Get max response from response matrix \n max_r = np.max(response) \n\n # Initialise lists for x, y coordinates\n x_list = []\n y_list = []\n\n # Select response values within 10% of maximum response\n for x in range(1, x_len - 1):\n for y in range(1, y_len - 1):\n if response[x, y] >= (max_r * 0.1) and response[x, y] <= (max_r * 1.9):\n x_list.append(x)\n y_list.append(y)\n\n # Plot selected response values on image\n plt.figure()\n plt.imshow(img, cmap='gray')\n plt.scatter(y_list, x_list, edgecolors='blue', facecolors='none', s=81, marker='s')\n plt.savefig(image_name + '_corners.jpg')","def explore_data():\n labels = [\"vehicles\", \"non-vehicles\"]\n labelmap = {0: \"vehicles\", 1: \"non-vehicles\"}\n vehicles_glob = os.path.join(data_dir, \"vehicles\", \"**\", \"*.png\")\n nonvehicles_glob = os.path.join(data_dir, \"non-vehicles\", \"**\", \"*.png\")\n class_fnames = [\n glob.glob(vehicles_glob, recursive = True),\n glob.glob(nonvehicles_glob, recursive = True)]\n n_samples = [len(fnames) for fnames in class_fnames]\n shapes = []\n samples = []\n print(table_format([\"label\", \"size\", \"shape\"], header = True))\n for label, fnames in enumerate(class_fnames):\n indices = np.random.choice(len(fnames), 4*10, replace = False)\n for i in indices:\n fname = fnames[i]\n img = cv2.imread(fname)\n samples.append(img)\n shape = img.shape\n shapes.append(shape)\n print(table_format([labels[label], n_samples[label], shapes[label]]))\n\n samples = np.stack(samples)\n samples = tile(samples, 2*4, 10)\n cv2.imwrite(os.path.join(out_dir, \"datasamples.png\"), samples)\n\n return class_fnames, labelmap","def cartoonise(picture_name):\n raw_img = picture_name\n out_img = './result/silhouetters_0.jpg'\n num_down = 2 # Reduce the number of pixel samples\n num_bilateral = 7 # Define the number of bilateral filters\n img_rgb = cv2.imread(raw_img) # read img\n # Lower sampling with gaussian pyramid\n img_color = img_rgb\n for _ in range(num_down):\n img_color = cv2.pyrDown(img_color)\n # Replace a large filter with a small bilateral filter\n for _ in range(num_bilateral):\n img_color = cv2.bilateralFilter(\n img_color, d=9, sigmaColor=9, sigmaSpace=7)\n # Lift sampled image to original size\n for _ in range(num_down):\n img_color = cv2.pyrUp(img_color)\n # Convert to grayscale and give it a medium blur\n img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_RGB2GRAY)\n img_blur = cv2.medianBlur(img_gray, 7)\n # Detect edges and enhance them\n img_edge = cv2.adaptiveThreshold(img_blur, 255,\n cv2.ADAPTIVE_THRESH_MEAN_C,\n cv2.THRESH_BINARY,\n blockSize=9,\n C=2)\n # Convert back to color image\n img_edge = cv2.cvtColor(img_edge, cv2.COLOR_GRAY2RGB)\n img_cartoon = cv2.bitwise_and(img_color, img_edge)\n # Save the converted image\n cv2.imwrite(out_img, img_cartoon)","def scan_images(images, clf, first_index, vstep=15, hstep=15, dnum=5):\n detections = []\n for i in tqdm(range(len(images))):\n labels = find_faces(util.img_as_float(rgb2gray(images[i])), clf, first_index + i,\n vstep, hstep, dnum)\n for label in labels:\n detections.append(label)\n return np.array(detections)","def locate_tracker(self, debug):\n\n # tmp_image =\n # tmp_image = cv2.GaussianBlur(self.frame, (11, 11), 0) # Experiment with this\n\n hsv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2HSV) # Convert to HSV Color Space. This is temporary for testing using colored objects)\n\n mask = cv2.inRange(hsv, self.hueLower, self.hueUpper)\n\n try:\n mask = cv2.inRange(hsv, self.hueLower2, self.hueUpper2) + mask\n except AttributeError:\n pass\n\n mask = cv2.erode(mask, None, iterations=2)\n mask = cv2.dilate(mask, None, iterations=2)\n\n if debug:\n tmpMask = imutils.resize(mask, width=1000, height=1000)\n cv2.imshow(\"mask\", tmpMask)\n\n\n # find contours in the mask and initialize the current (x, y) center of the object\n cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]\n center = None\n\n # only proceed if at least one contour was found\n if len(cnts) > 0:\n # find the largest contour in the mask, then use\n # it to compute the minimum enclosing circle and\n # centroid\n c = max(cnts, key=cv2.contourArea)\n\n ((x, y), radius) = cv2.minEnclosingCircle(c)\n M = cv2.moments(c)\n center = (int(M[\"m10\"] / M[\"m00\"]), int(M[\"m01\"] / M[\"m00\"]))\n\n # only proceed if the radius meets a minimum size\n # if radius > 10:\n # # draw the circle and centroid on the frame,\n # # then update the list of tracked points\n # cv2.circle(frame, (int(x), int(y)), int(radius),\n # (0, 255, 255), 2)\n # cv2.circle(frame, center, 5, (0, 0, 255), -1)\n if debug:\n cv2.drawContours(self.frame, c, -1, (0, 255, 0), 20)\n return center, radius\n # update the points queue\n cv2.imshow(\"mask\", imutils.resize(mask, width=1000, height=1000))\n cv2.imshow(\"frame\", imutils.resize(self.frame, width=1000, height=1000))\n cv2.waitKey(0)\n cv2.destroyAllWindows()\n raise OpenCVError(\"Could not find tracker!\")\n\n # return (1, 1), 1","def belt(image):\n\n # Belt Detector\n x, y = circular_detector(image, 70, 80)\n\n return x, y","def filter_images(self, images):\n status = self.day_or_night(images[0][1],\n self.gray_refs['day'][0],\n self.gray_refs['night'][0])\n print status\n exclusions = self.gray_refs[status]\n threshold = 0.7\n last_ref = None\n result = []\n\n for filename, gray_img, raw_img in images:\n skip = False\n if last_ref:\n dist = ssim(gray_img, exclusions[last_ref], multichannel=False)\n if dist > threshold:\n skip = True\n\n if not skip:\n for i, gray_ref in enumerate(exclusions):\n if i == last_ref:\n continue\n dist = ssim(gray_img, gray_ref, multichannel=False)\n if dist > threshold:\n skip = True\n last_ref = i\n break\n\n if not skip:\n if (time.time() - self.last_notify) > notify_thresh:\n send_alert('Alert! Motion detected near front door.')\n self.last_notify = time.time()\n result.append((filename, gray_img, raw_img))\n return result","def detectState(self, colorImage):\n\n self.image = colorImage;\n self.video = Video()\n\n # find the intersections of the hough lines\n self.intersects = self._findIntersects()\n\n # Use previoulsy acquired data to create a board, that is, a dictionary of cells [Cell Class]\n self._divideInCells()\n\n return self.board, self.image","def detect_and_draw_as_marker(self, image):\r\n # Required variables\r\n count = 0\r\n # convert to HSV.. so that we can filter out the image from our captured HSV values for our markers previously..\r\n HSVimg = cv2.cvtColor(src=image, code=cv2.COLOR_BGR2HSV)\r\n # loop through all marker's HSV values\r\n for marker_HSV in self.markers_HSV:\r\n lower_boundary = np.array(marker_HSV[0])\r\n upper_boundary = np.array(marker_HSV[1])\r\n # Get the mask image that satisfies the lower and upper HSV values..\r\n maskImg = cv2.inRange(src=HSVimg, lowerb=lower_boundary, upperb=upper_boundary)\r\n\r\n '''Draw the contours for the mask image detected, marker point for the marker'''\r\n # Get the bounding box corners (In the function call to self.draw_contours(), contours are drawn to original camera feed, if self.debug_mode is set to 1)\r\n x, y, width, height = self.draw_contours(image, maskImg)\r\n if self.debug_mode:\r\n cv2.rectangle(img=image, pt1=(x, y), pt2=(x + width, y + height), color=(255, 0, 255), thickness=3)\r\n # Select the marker point..\r\n marker_point_center = (x + width // 2, y)\r\n # Draw the marker point..\r\n # cv2.circle(img=image, center=marker_point_center, radius=5, color=(2, 255, 10), thickness=cv2.FILLED)\r\n cv2.circle(img=image, center=marker_point_center, radius=5, color=list(self.marker_colors[count]), thickness=cv2.FILLED)\r\n\r\n # Append the trace point of marker..\r\n self.marker_path_points.append([marker_point_center, count])\r\n #print(count, end=\"\\n\")\r\n count += 1","def detect(frame: numpy.ndarray) -> bool:\n color = frame[:20, 1100:1150].mean(axis=(0, 1))\n return numpy.linalg.norm(color - BG_COLOR) < 5","def get_centers(file_path = \"./data/input.jpeg\", n_rows=10, n_cols=10, verbose=False, image_thresh=20, hough_thresh=20, minDist=20, maxRadius=20):\n print(\"looking for circles in the image\")\n cimg = cv2.imread(file_path, 1)\n gimg = cv2.cvtColor(cimg, cv2.COLOR_BGR2GRAY)\n gimg = cv2.medianBlur(gimg, 5)\n # threshold the image for better circle finding\n _, gimg = cv2.threshold(gimg, image_thresh, 255, cv2.THRESH_BINARY)\n\n\n # find circles on the image\n circles = cv2.HoughCircles(gimg, cv2.HOUGH_GRADIENT, dp=1, minDist=minDist, param1=1, param2=hough_thresh, minRadius=5,\n maxRadius=maxRadius)\n\n # re-sequence the circles found\n circles = circles[0, :, :].reshape((-1, 3))\n x_min = circles.min(axis=0)[0]\n x_max = circles.max(axis=0)[0]\n avg_spacing = (x_max - x_min) / (n_cols - 1)\n x_segment = [x_min - avg_spacing / 2 + avg_spacing * i for i in range(11)]\n def get_col_id(point):\n # return which col this point sits\n x = point[0]\n for i in range(n_cols):\n if x_segment[i] < x < x_segment[i + 1]:\n return i\n cols = [[] for i in range(n_cols)]\n for circle in circles:\n id = get_col_id(circle)\n cols[get_col_id(circle)].append(circle)\n for i, col in enumerate(cols):\n cols[i] = list(sorted(col, key=lambda p:p[1]))\n grid = np.zeros((n_rows, n_cols, 3))\n for c in range(n_cols):\n for r in range(n_rows):\n grid[r, c, :] = cols[c][r]\n\n # plot theses circles to make sure the sequence is correct\n gaussian_img = cv2.GaussianBlur(cv2.cvtColor(cimg, cv2.COLOR_BGR2GRAY), (5, 5), 0)\n for c in range(10):\n for r in range(10):\n pos = grid[r, c, :2].astype(np.int)\n radius = grid[r, c, 2].astype(np.int)\n # draw the outer circle\n cv2.circle(cimg, (pos[0], pos[1]), radius, (0, 255, 0), 2)\n # draw the center of the circle\n cv2.circle(cimg, (pos[0], pos[1]), 2, (0, 0, 255), 3)\n # find the avg intensity at each center\n grid[r, c, 2] = gaussian_img[pos[1], pos[0]]\n if verbose:\n cv2.imshow('circles found in the image', cimg)\n cv2.waitKey(10)\n\n if verbose:\n cv2.imshow('circles found in the image', cimg)\n cv2.waitKey(0)\n cv2.destroyAllWindows()\n\n return grid","def guess_image(which_cam, image, ntraps):\n threshes = [0.5, 0.65]\n ## Image Conditioning ##\n margin = 10\n threshold = np.max(image)*threshes[which_cam]\n im = image.transpose()\n\n x_len = len(im)\n peak_locs = np.zeros(x_len)\n peak_vals = np.zeros(x_len)\n\n ## Trap Peak Detection ##\n for i in range(x_len):\n if i < margin or x_len - i < margin:\n peak_locs[i] = 0\n peak_vals[i] = 0\n else:\n peak_locs[i] = np.argmax(im[i])\n peak_vals[i] = max(im[i])\n\n ## Trap Range Detection ##\n first = True\n pos_first, pos_last = 0, 0\n left_pos = 0\n for i, p in enumerate(peak_vals):\n if p > threshold:\n left_pos = i\n elif p < threshold and left_pos != 0:\n if first:\n pos_first = (left_pos + i) // 2\n first = False\n pos_last = (left_pos + i) // 2\n left_pos = 0\n\n ## Separation Value ##\n separation = (pos_last - pos_first) / ntraps # In Pixels\n\n ## Initial Guesses ##\n means0 = np.linspace(pos_first, pos_last, ntraps).tolist()\n waists0 = (separation * np.ones(ntraps) / 2).tolist()\n ampls0 = (max(peak_vals) * 0.7 * np.ones(ntraps)).tolist()\n _params0 = [means0, waists0, ampls0, [0.06]]\n params0 = [item for sublist in _params0 for item in sublist]\n\n xdata = np.arange(x_len)\n plt.figure()\n plt.plot(xdata, peak_vals)\n plt.plot(xdata, wrapper_fit_func(xdata, ntraps, params0), '--r') # Initial Guess\n plt.xlim((pos_first - margin, pos_last + margin))\n plt.legend([\"Data\", \"Guess\", \"Fit\"])\n plt.show(block=False)","def detectBall():\n\t\n\tglobal np_arr\n\timage_np = cv2.imdecode(np_arr, cv2.IMREAD_COLOR) # OpenCV >= 3.0:\n\n\tblackLower = (0, 0, 0) \n\tblackUpper = (5,50,50)\n\tredLower = (0, 50, 50)\n\tredUpper = (5, 255, 255)\n\tyellowLower = (25, 50, 50) \n\tyellowUpper = (35, 255, 255)\n\tgreenLower = (50, 50, 50) \n\tgreenUpper = (70, 255, 255)\n\tblueLower = (100, 50, 50) \n\tblueUpper = (130, 255, 255)\n\tmagentaLower = (125, 50, 50) \n\tmagentaUpper = (150, 255, 255)\n\n blurred = cv2.GaussianBlur(image_np, (11, 11), 0)\n hsv = cv2.cvtColor(blurred, cv2.COLOR_BGR2HSV)\n\n\tmask_blk = cv2.inRange(hsv, blackLower, blackUpper)\n mask_blk = cv2.erode(mask_blk, None, iterations=2)\n mask_blk = cv2.dilate(mask_blk, None, iterations=2)\n\n\tmask_r = cv2.inRange(hsv, redLower, redUpper)\n mask_r = cv2.erode(mask_r, None, iterations=2)\n mask_r = cv2.dilate(mask_r, None, iterations=2)\n\n\tmask_y = cv2.inRange(hsv, yellowLower, yellowUpper)\n mask_y = cv2.erode(mask_y, None, iterations=2)\n mask_y = cv2.dilate(mask_y, None, iterations=2)\n\n\tmask_g = cv2.inRange(hsv, greenLower, greenUpper)\n mask_g = cv2.erode(mask_g, None, iterations=2)\n mask_g = cv2.dilate(mask_g, None, iterations=2)\n\n mask_blu = cv2.inRange(hsv, blueLower, blueUpper)\n mask_blu = cv2.erode(mask_blu, None, iterations=2)\n mask_blu = cv2.dilate(mask_blu, None, iterations=2)\n\n\tmask_m = cv2.inRange(hsv, magentaLower, magentaUpper)\n mask_m = cv2.erode(mask_m, None, iterations=2)\n mask_m = cv2.dilate(mask_m, None, iterations=2)\n #cv2.imshow('mask', mask)\n\n cnts_blk = cv2.findContours(mask_blk.copy(), cv2.RETR_EXTERNAL,\n cv2.CHAIN_APPROX_SIMPLE)\n\tcnts_r = cv2.findContours(mask_r.copy(), cv2.RETR_EXTERNAL,\n cv2.CHAIN_APPROX_SIMPLE)\n\tcnts_y = cv2.findContours(mask_y.copy(), cv2.RETR_EXTERNAL,\n cv2.CHAIN_APPROX_SIMPLE)\n\tcnts_g = cv2.findContours(mask_g.copy(), cv2.RETR_EXTERNAL,\n cv2.CHAIN_APPROX_SIMPLE)\n\tcnts_blu = cv2.findContours(mask_blu.copy(), cv2.RETR_EXTERNAL,\n cv2.CHAIN_APPROX_SIMPLE)\n\tcnts_m = cv2.findContours(mask_m.copy(), cv2.RETR_EXTERNAL,\n cv2.CHAIN_APPROX_SIMPLE)\n\n cnts_blk = imutils.grab_contours(cnts_blk)\n\tcnts_r = imutils.grab_contours(cnts_r)\n\tcnts_y = imutils.grab_contours(cnts_y)\n\tcnts_g = imutils.grab_contours(cnts_g)\n\tcnts_blu = imutils.grab_contours(cnts_blu)\n\tcnts_m = imutils.grab_contours(cnts_m)\n\n center = None\n\tc = 0\n\tradius = 0\n\n\tglobal black_ball, red_ball, yellow_ball, green_ball, blue_ball, magenta_ball\n\n # only proceed if at least one contour was found\n if len(cnts_blk) > 0 and black_ball.detected_flag != True:\n c = max(cnts_blk, key=cv2.contourArea)\n\t ((x, y), radius) = cv2.minEnclosingCircle(c)\n\t M = cv2.moments(c)\n\t center = (int(M[\"m10\"] / M[\"m00\"]), int(M[\"m01\"] / M[\"m00\"]))\n\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\n\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\n\t black_ball = track(radius, center, black_ball)\n\t pub_blackBall.publish(black_ball)\n\t print (\"Black ball detected.\\n\")\n\n\telif len(cnts_r) > 0 and red_ball.detected_flag != True:\n c = max(cnts_r, key=cv2.contourArea)\n\t ((x, y), radius) = cv2.minEnclosingCircle(c)\n\t M = cv2.moments(c)\n\t center = (int(M[\"m10\"] / M[\"m00\"]), int(M[\"m01\"] / M[\"m00\"]))\n\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\n\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\n\t red_ball = track(radius, center, red_ball)\n\t pub_redBall.publish(red_ball)\n\t print (\"Red ball detected.\\n\")\n\t \n\telif len(cnts_y) > 0 and yellow_ball.detected_flag != True:\n c = max(cnts_y, key=cv2.contourArea)\n\t ((x, y), radius) = cv2.minEnclosingCircle(c)\n\t M = cv2.moments(c)\n\t center = (int(M[\"m10\"] / M[\"m00\"]), int(M[\"m01\"] / M[\"m00\"]))\n\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\n\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\n\t yellow_ball = track(radius, center, yellow_ball)\n\t pub_yellowBall.publish(yellow_ball)\n\t print (\"Yellow ball detected.\\n\")\n\n\telif len(cnts_g) > 0 and green_ball.detected_flag != True:\n c = max(cnts_g, key=cv2.contourArea)\n\t ((x, y), radius) = cv2.minEnclosingCircle(c)\n\t M = cv2.moments(c)\n\t center = (int(M[\"m10\"] / M[\"m00\"]), int(M[\"m01\"] / M[\"m00\"]))\n\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\n\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\n\t green_ball = track(radius, center, green_ball)\n\t pub_greenBall.publish(green_ball)\n\t print (\"Green ball detected.\\n\")\n\n\telif len(cnts_blu) > 0 and blue_ball.detected_flag != True:\n c = max(cnts_blu, key=cv2.contourArea)\n\t ((x, y), radius) = cv2.minEnclosingCircle(c)\n\t M = cv2.moments(c)\n\t center = (int(M[\"m10\"] / M[\"m00\"]), int(M[\"m01\"] / M[\"m00\"]))\n\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\n\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\n\t blue_ball = track(radius, center, blue_ball)\n\t pub_blueBall.publish(blue_ball)\n\t print (\"Blue ball detected.\\n\")\n\n\telif len(cnts_m) > 0 and magenta_ball.detected_flag != True:\n c = max(cnts_m, key=cv2.contourArea)\n\t ((x, y), radius) = cv2.minEnclosingCircle(c)\n\t M = cv2.moments(c)\n\t center = (int(M[\"m10\"] / M[\"m00\"]), int(M[\"m01\"] / M[\"m00\"]))\n\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\n\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\n\t magenta_ball = track(radius, center, magenta_ball)\n\t pub_magentaBall.publish(magenta_ball)\n\t print (\"Magenta ball detected.\\n\")\n\n\tcv2.imshow('window', image_np)\n\tcv2.waitKey(2)\n\tc = 0","def vis_detections(im, class_name, dets, image_name, thresh=0.5):\n inds = np.where(dets[:, -1] >= thresh)[0]\n max_inds = 0\n max_score = 0.0\n if len(inds) == 0:\n # print('Warning: no target detected!')\n return\n elif len(inds) > 1:\n # print('Warning: ' + str(len(inds)) + ' targets detected! Choose the highest one')\n for i in inds:\n if(dets[i, -1] > max_score):\n max_inds = i\n max_score = dets[i, -1]\n\n# im = im[:, :, (2, 1, 0)]\n# fig, ax = plt.subplots(figsize=(12, 12))\n# ax.imshow(im, aspect='equal')\n # for i in inds:\n # bbox = dets[i, :4]\n # score = dets[i, -1]\n #print max_inds\n bbox = dets[max_inds, :4]\n score = dets[max_inds, -1]\n\n# ax.add_patch(\n# plt.Rectangle((bbox[0], bbox[1]),\n# bbox[2] - bbox[0],\n# bbox[3] - bbox[1], fill=False,\n# edgecolor='red', linewidth=3.5)\n# )\n# ax.text(bbox[0], bbox[1] - 2,\n# '{:s} {:.3f}'.format(class_name, score),\n# bbox=dict(facecolor='blue', alpha=0.5),\n# fontsize=14, color='white')\n\n # end for\n #print image_name, class_name\n #print score\n # file.writelines([image_name,'\\t',class_name,'\\t',str(score),'\\n'])\n # ax.set_title(('{} detections with '\n # 'p({} | box) >= {:.1f}').format(class_name, class_name,\n # thresh),fontsize=14)\n # plt.axis('off')\n # plt.tight_layout()\n # plt.draw()\n\t### SAVE IMAGES ? ###\n save_img_dir = os.path.join(cfg.ROOT_DIR, 'result', 'test_img')\n # if not os.path.exists(save_img_dir):\n # os.makedirs(save_img_dir)\n # plt.savefig(os.path.join(save_img_dir, image_name + '_' + class_name))\n\n boxes = {'boxes': ((bbox[0], bbox[1]), bbox[2] - bbox[0], bbox[3] - bbox[1])}\n \n save_mat_dir = os.path.join(cfg.ROOT_DIR, 'result', 'test_box')","def main():\n print(\"Program version: 1.5\")\n StartTime = datetime.now()\n args = parseArguments()\n\n verbose = args.verbose\n images = args.images\n ignore_warnings = args.ignore_warnings\n if(args.silent):\n verbose = False\n images = False\n ignore_warnings = True\n\n if(args.images):\n plt.ioff()\n\n if(args.ignore_warnings):\n warnings.simplefilter('ignore', UserWarning)\n\n #sample header keywords\n # OBJECT = 'P016+03_P1_JKdeep' / Original target\n # RA = ' 01:06:37.759' / 01:06:37.7 RA (J2000) pointing\n # DEC = ' 03:32:36.096' / 03:32:36.0 DEC (J2000) pointing\n # EQUINOX = 2000. / Standard FK5 (years)\n # RADECSYS= 'FK5 ' / Coordinate reference frame\n # CRVAL1 = 16.65733 / 01:06:37.7, RA at ref pixel\n # CRVAL2 = 3.54336 / 03:32:36.0, DEC at ref pixel\n # CRPIX1 = 447. /Ref pixel in X\n # CRPIX2 = 452. / Ref pixel in Y\n # CDELT1 = -8.0000000000000E-5 / SS arcsec per pixel in RA\n # CDELT2 = 8.00000000000003E-5 / SS arcsec per pixel in DEC\n # CTYPE1 = 'RA---TAN' / pixel coordinate system\n # CTYPE2 = 'DEC--TAN' / pixel coordinate system\n # PC1_1 = 0.000000 / Translation matrix element\n # PC1_2 = 1.000000 / Translation matrix element\n # PC2_1 = -1.000000 / Translation matrix element\n # PC2_2 = 0.000000 / Translation matrix element\n\n fits_image_filenames = args.input\n\n #if directory given search for appropriate fits files\n\n if(os.path.isdir(fits_image_filenames[0])):\n print(\"detected a directory. Will search for fits files in it\")\n path = fits_image_filenames[0]\n fits_image_filenames = []\n for file in os.listdir(path):\n if file.endswith(\".fits\") and \"_astro\" not in file:\n fits_image_filenames.append(path+\"/\"+file)\n print(fits_image_filenames)\n\n multiple = False\n if(len(fits_image_filenames)>1):\n multiple = True\n not_converged = []\n converged_counter = 0\n for fits_image_filename in fits_image_filenames:\n\n result,_ = astrometry_script(fits_image_filename, catalog=args.catalog, rotation_scaling=0, xy_transformation=args.xy_transformation, fine_transformation=args.fine_transformation,\n images=images, vignette=args.vignette,vignette_rectangular=args.vignette_rectangular, cutouts=args.cutout, ra=args.ra, dec=args.dec, projection_ra=args.projection_ra, projection_dec=args.projection_dec, verbose=verbose, save_images=args.save_images, ignore_header_rot=args.ignore_header_rot, radius = args.radius, save_bad_result=args.save_bad_result, silent =args.silent, sigma_threshold_for_source_detection= args.sigma_threshold_for_source_detection, high_res=args.high_resolution, hdul_idx=args.hdul_idx, filename_for_sources=args.filename_for_sources, FWHM=args.seeing)\n\n if((not result) and args.rotation_scaling):\n print(\"Did not converge. Will try again with full rotation and scaling\")\n result, _ = astrometry_script(fits_image_filename, catalog=args.catalog, rotation_scaling=args.rotation_scaling, xy_transformation=args.xy_transformation, fine_transformation=args.fine_transformation,\n images=images, vignette=args.vignette,vignette_rectangular=args.vignette_rectangular, cutouts=args.cutout, ra=args.ra, dec=args.dec, projection_ra=args.projection_ra, projection_dec=args.projection_dec, verbose=verbose, save_images=args.save_images, ignore_header_rot=args.ignore_header_rot, radius = args.radius, save_bad_result=args.save_bad_result, silent=args.silent, sigma_threshold_for_source_detection=args.sigma_threshold_for_source_detection, high_res=args.high_resolution, hdul_idx=args.hdul_idx, filename_for_sources=args.filename_for_sources, FWHM=args.seeing)\n\n if(result):\n print(\"Astrometry was determined to be good.\")\n converged_counter = converged_counter+1\n else:\n print(\"Astrometry was determined to be bad.\")\n not_converged.append(fits_image_filename)\n if(args.save_bad_result):\n print(\"Result was saved anyway\")\n else:\n print(\"Result was not saved.\")\n # print(\"\")\n # print(\">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>\")\n # print(\"> Astrometry for {} \".format(fits_image_filename))\n #\n # with fits.open(fits_image_filename) as hdul:\n # #print(hdul.info())\n # if(args.verbose):\n # print(\"if image is not at first position in the fits file the program will break later on\")\n # #print(hdul[0].header)\n #\n # hdu = hdul[0]\n # #hdu.verify('fix')\n # hdr = hdu.header\n #\n #\n # image_or = hdul[0].data.astype(float)\n # median = np.nanmedian(image_or)\n # image_or[np.isnan(image_or)]=median\n # image = image_or - median\n #\n # observation = find_sources(image, args.vignette)\n # #print(observation)\n #\n # positions = (observation['xcenter'], observation['ycenter'])\n # apertures = CircularAperture(positions, r=4.)\n #\n #\n # #world coordinates\n # print(\">Info found in the file -- (CRVAl: position of central pixel (CRPIX) on the sky)\")\n # print(WCS(hdr))\n #\n # hdr[\"NAXIS1\"] = image.shape[0]\n # hdr[\"NAXIS2\"] = image.shape[1]\n #\n # #wcsprm = Wcsprm(hdr.tostring().encode('utf-8')) #everything else gave me errors with python 3, seemed to make problems with pc conversios, so i wwitched to the form below\n # wcsprm = WCS(hdr).wcs\n # wcsprm_original = WCS(hdr).wcs\n # if(args.verbose):\n # print(WCS(wcsprm.to_header()))\n # wcsprm, fov_radius, INCREASE_FOV_FLAG, PIXSCALE_UNCLEAR = read_additional_info_from_header(wcsprm, hdr, args.ra, args.dec, args.projection_ra, args.projection_dec)\n # if(args.verbose):\n # print(WCS(wcsprm.to_header()))\n #\n # #print(wcsprm)\n # #wcsprm.pc = [[2, 0],[0,1]]\n #\n #\n # #Possibly usefull examples of how to use wcsprm:\n # #print(wcsprm.set())\n # #print(wcsprm.get_pc())\n # #pc = wcsprm.get_pc()\n # #print(np.linalg.det(pc))\n # #print(wcsprm.get_cdelt())\n # #wcs.fix()\n # #print(wcsprm.print_contents())\n # #print(repr(hdr.update(wcsprm.to_header().encode('utf-8')))) #not working\n #\n # #hdu.verify(\"fix\")\n # #print(repr(hdr))\n # #wcs.wcs_pix2world(pixcrd, 1)\n # #wcs.wcs_world2pix(world, 1)\n # #wcs.wcs.crpix = [-234.75, 8.3393]\n # # wcs.wcs.cdelt = np.array([-0.066667, 0.066667])\n # # wcs.wcs.crval = [0, -90]\n # # wcs.wcs.ctype = [\"RA---AIR\", \"DEC--AIR\"]\n # # wcs.wcs.set_pv([(2, 1, 45.0)])\n # # For historical compatibility, three alternate specifications of the linear transformations\n # # are available in wcslib. The canonical PCi_ja with CDELTia, CDi_ja, and the deprecated CROTAia\n # # keywords. Although the latter may not formally co-exist with PCi_ja,\n # # the approach here is simply to ignore them if given in conjunction with PCi_ja.\n # # has_pc, has_cd and has_crota can be used to determine which of these alternatives are present in the header.\n # # These alternate specifications of the linear transformation matrix are translated immediately to PCi_ja by set\n # # and are nowhere visible to the lower-level routines. In particular, set resets cdelt to unity if CDi_ja is present\n # # (and no PCi_ja). If no CROTAia is associated with the latitude axis, set reverts to a unity PCi_ja matrix.\n #\n #\n #\n #\n #\n # #get rough coordinates\n # #print(hdr[\"RA\"])\n # #coord = SkyCoord(hdr[\"RA\"], hdr[\"DEC\"], unit=(u.hourangle, u.deg), frame=\"icrs\")\n # coord = SkyCoord(wcsprm.crval[0], wcsprm.crval[1], unit=(u.deg, u.deg), frame=\"icrs\")\n # if(not PIXSCALE_UNCLEAR):\n # if(wcsprm.crpix[0] < 0 or wcsprm.crpix[1] < 0 or wcsprm.crpix[0] > image.shape[0] or wcsprm.crpix[1] > image.shape[1] ):\n # print(\"central value outside of the image, moving it to the center\")\n # coord_radec = wcsprm.p2s([[image.shape[0]/2, image.shape[1]/2]], 0)[\"world\"][0]\n # coord = SkyCoord(coord_radec[0], coord_radec[1], unit=(u.deg, u.deg), frame=\"icrs\")\n # #print(wcsprm)\n #\n #\n #\n # #better: put in nice wrapper! with repeated tries and maybe try synchron!\n # print(\">Dowloading catalog data\")\n # radius = u.Quantity(fov_radius, u.arcmin)#will prob need more\n # catalog_data = query.get_data(coord, radius, args.catalog)\n # #reference = reference.query(\"mag <20\")\n # max_sources = 500\n # if(INCREASE_FOV_FLAG):\n # max_sources= max_sources*2.25 #1.5 times the radius, so 2.25 the area\n # if(catalog_data.shape[0]>max_sources):\n # catalog_data = catalog_data.nsmallest(400, \"mag\")\n #\n # if(args.catalog == \"GAIA\" and catalog_data.shape[0] < 5):\n # print(\"GAIA seems to not have enough objects, will enhance with PS1\")\n # catalog_data2 = query.get_data(coord, radius, \"PS\")\n # catalog_data = pd.concat([catalog_data, catalog_data2])\n # #apertures_catalog = CircularAperture(wcs.wcs_world2pix(catalog_data[[\"ra\", \"dec\"]], 1), r=5.)\n # print(\"Now we have a total of {} sources. Keep in mind that there might be duplicates now since we combined 2 catalogs\".format(catalog_data.shape[0]))\n # elif(args.catalog == \"PS\" and (catalog_data is None or catalog_data.shape[0] < 5)):\n # print(\"We seem to be outside the PS footprint, enhance with GAIA data\")\n # catalog_data2 = query.get_data(coord, radius, \"GAIA\")\n # catalog_data = pd.concat([catalog_data, catalog_data2])\n # #apertures_catalog = CircularAperture(wcs.wcs_world2pix(catalog_data[[\"ra\", \"dec\"]], 1), r=5.)\n # print(\"Now we have a total of {} sources. Keep in mind that there might be duplicates now since we combined 2 catalogs\".format(catalog_data.shape[0]))\n #\n # #remove duplicates in catalog?\n #\n # apertures_catalog = CircularAperture(wcsprm.s2p(catalog_data[[\"ra\", \"dec\"]], 1)['pixcrd'], r=5.)\n #\n #\n # #plotting what we have, I keep it in the detector field, world coordinates are more painfull to plot\n # if(args.images):\n # fig = plt.figure()\n # fig.canvas.set_window_title('Input for {}'.format(fits_image_filename))\n # plt.xlabel(\"pixel x direction\")\n # plt.ylabel(\"pixel y direction\")\n # plt.title(\"Input - red: catalog sources, blue: detected sources in img\")\n # plt.imshow(image,cmap='Greys', origin='lower', norm=LogNorm())\n # apertures.plot(color='blue', lw=1.5, alpha=0.5)\n # apertures_catalog.plot(color='red', lw=1.5, alpha=0.5)\n #\n # plt.xlim(-200,image.shape[0]+200)\n # plt.ylim(-200,image.shape[1]+200)\n # if(args.save_images):\n # name_parts = fits_image_filename.rsplit('.', 1)\n # plt.savefig(name_parts[0]+\"_image_before.pdf\")\n #\n # ###tranforming to match the sources\n # print(\"---------------------------------\")\n # print(\">Finding the transformation\")\n # if(args.rotation_scaling):\n # print(\"Finding scaling and rotation\")\n # wcsprm = register.get_scaling_and_rotation(observation, catalog_data, wcsprm, scale_guessed=PIXSCALE_UNCLEAR, verbose=args.verbose)\n # if(args.xy_transformation):\n # print(\"Finding offset\")\n # wcsprm,_,_ = register.offset_with_orientation(observation, catalog_data, wcsprm, fast=False , INCREASE_FOV_FLAG=INCREASE_FOV_FLAG, verbose= args.verbose)\n #\n # #correct subpixel error\n # obs_x, obs_y, cat_x, cat_y, distances = register.find_matches(observation, catalog_data, wcsprm, threshold=3)\n # rms = np.sqrt(np.mean(np.square(distances)))\n # best_score = len(obs_x)/(rms+10) #start with current best score\n # fine_transformation = False\n # if(args.fine_transformation):\n # for i in [2,3,5,8,10,6,4, 20,2,1,0.5]:\n # wcsprm_new, score = register.fine_transformation(observation, catalog_data, wcsprm, threshold=i)\n # if(score> best_score):\n # wcsprm = wcsprm_new\n # best_score = score\n # fine_transformation = True\n # if not fine_transformation:\n # print(\"Fine transformation did not improve result so will be discarded.\")\n # else:\n # print(\"Fine transformation applied to improve result\")\n # #register.calculate_rms(observation, catalog_data,wcs)\n #\n # #make wcsprim more physical by moving scaling to cdelt, out of the pc matrix\n # wcs =WCS(wcsprm.to_header())\n # if(args.verbose):\n # print(wcs)\n #\n # from astropy.wcs import utils\n # scales = utils.proj_plane_pixel_scales(wcs)\n # print(scales)\n # cdelt = wcsprm.get_cdelt()\n # print(cdelt)\n # scale_ratio = scales/cdelt\n # #print(scale_ratio)\n # pc = np.array(wcsprm.get_pc())\n # pc[0,0] = pc[0,0]/scale_ratio[0]\n # pc[1,0] = pc[1,0]/scale_ratio[1]\n # pc[0,1] = pc[0,1]/scale_ratio[0]\n # pc[1,1] = pc[1,1]/scale_ratio[1]\n # wcsprm.pc = pc\n # wcsprm.cdelt = scales\n # if(args.verbose):\n # print(\"moved scaling info to CDelt\")\n # print(WCS(wcsprm.to_header()))\n #\n # #WCS difference before and after\n # print(\"> Compared to the input the Wcs was changed by: \")\n # scales_original = utils.proj_plane_pixel_scales(WCS(hdr))\n # print(\"WCS got scaled by {} in x direction and {} in y direction\".format(scales[0]/scales_original[0], scales[1]/scales_original[1]))\n # #sources:\n # #https://math.stackexchange.com/questions/2113634/comparing-two-rotation-matrices\n # #https://stackoverflow.com/questions/2827393/angles-between-two-n-dimensional-vectors-in-python/13849249#13849249\n # def unit_vector(vector):\n # \"\"\" Returns the unit vector of the vector. \"\"\"\n # return vector / max(np.linalg.norm(vector), 1e-10)\n # def matrix_angle( B, A ):\n # \"\"\" comment cos between vectors or matrices \"\"\"\n # Aflat = A.reshape(-1)\n # Aflat = unit_vector(Aflat)\n # Bflat = B.reshape(-1)\n # Bflat = unit_vector(Bflat)\n # #return np.arccos((np.dot( Aflat, Bflat ) / max( np.linalg.norm(Aflat) * np.linalg.norm(Bflat), 1e-10 )))\n # return np.arccos(np.clip(np.dot(Aflat, Bflat), -1.0, 1.0))\n # #print(matrix_angle(wcsprm.get_pc(), wcsprm_original.get_pc()) /2/np.pi*360)\n # rotation_angle = matrix_angle(wcsprm.get_pc(), wcsprm_original.get_pc()) /2/np.pi*360\n # if((wcsprm.get_pc() @ wcsprm_original.get_pc() )[0,1] > 0):\n # text = \"counterclockwise\"\n # else:\n # text = \"clockwise\"\n # print(\"Rotation of WCS by an angle of {} deg \".format(rotation_angle)+text)\n # old_central_pixel = wcsprm_original.s2p([wcsprm.crval], 0)[\"pixcrd\"][0]\n # print(\"x offset: {} px, y offset: {} px \".format(wcsprm.crpix[0]- old_central_pixel[0], wcsprm.crpix[1]- old_central_pixel[1]))\n #\n #\n # #check final figure\n # if(args.images):\n # fig = plt.figure()\n # fig.canvas.set_window_title('Result for {}'.format(fits_image_filename))\n # plt.xlabel(\"pixel x direction\")\n # plt.ylabel(\"pixel y direction\")\n # plt.title(\"Result - red: catalog sources, blue: detected sources in img\")\n # plt.imshow(image,cmap='Greys', origin='lower', norm=LogNorm())\n # apertures.plot(color='blue', lw=1.5, alpha=0.5)\n # #apertures_catalog = CircularAperture(wcs.wcs_world2pix(catalog_data[[\"ra\", \"dec\"]], 1), r=5.)\n # apertures_catalog = CircularAperture(wcsprm.s2p(catalog_data[[\"ra\", \"dec\"]], 1)['pixcrd'], r=5.)\n #\n # apertures_catalog.plot(color='red', lw=1.5, alpha=0.5)\n # if(args.save_images):\n # name_parts = fits_image_filename.rsplit('.', 1)\n # plt.savefig(name_parts[0]+\"_image_after.pdf\")\n #\n # print(\"--- Evaluate how good the transformation is ----\")\n # register.calculate_rms(observation, catalog_data,wcsprm)\n #\n #\n # #updating file\n # write_wcs_to_hdr(fits_image_filename, wcsprm)\n #\n #\n # print(\"overall time taken\")\n # print(datetime.now()-StartTime)\n # if(args.images):\n # plt.show()\n if(multiple):\n print(\">> Final report:\")\n print(\"Processed {} files, {} of them did converge. The following files failed:\".format(len(fits_image_filenames), converged_counter))\n print(not_converged)\n print(\"-- finished --\")","def _red_detect_(self, nslice = 0, thresh = 2.0):\n zk_1 = 's_' + format(nslice, '03d')\n zk_2 = 's_' + format(nslice+1, '03d')\n\n zf_1 = self.z_dense[zk_1]\n zf_2 = self.z_dense[zk_2]\n\n # extract the y and x coordinates\n y1 = zf_1[:,0]\n x1 = zf_1[:,1]\n\n y2 = zf_2[:,0]\n x2 = zf_2[:,1]\n\n\n # create a meshgrid\n [YC, YR] = np.meshgrid(y2, y1)\n [XC, XR] = np.meshgrid(x2, x1)\n\n\n dist_block = np.sqrt((YC-YR)**2 + (XC-XR)**2)\n red_pair = np.where(dist_block <= thresh) # find out where the distance between cell i in plane k and cell j in plane k+1 is below the threshold.\n\n ind1 = red_pair[0] # the indices in the first frame\n ind2 = red_pair[1] # the indices in the second frame\n\n\n # select those with markers > 0 and markers < 0\n marker_1 = zf_1[ind1, 3]\n\n\n new_idx = (marker_1 == 0) # select those with zero-markers, which are never counted before. These are new cells. marker_1 needs to be updated.\n pool_new = ind1[new_idx] # select the indices in the first frame where new redundancies are detected \n pool_new_cov = ind2[new_idx] # select the indices in the second frame where new redundancies are detected.\n\n\n pool_exist = ind1[~new_idx] # among the detected redundancies, find those already marked.\n pool_exist_cov = ind2[~new_idx] # correspondingly, find those already marked in the adjacent slice\n\n n_new = len(pool_new)\n n_exist = len(pool_exist)\n if self.verbose:\n print(n_new, \"new redundancies, \", n_exist, \"existing redundancies\")\n\n for n_count in np.arange(n_new):\n # build the new keys\n # also, we need to assign each new key an identity number which is unique.\n n_ind1 = pool_new[n_count] # find the indices in the first slice that contains new redundancies\n n_ind2 = pool_new_cov[n_count] # find the indices in the following slice \n pr_number = nslice * 1000 + n_ind1\n pr_key = 'sl_' + str(pr_number) # build a key \n new_sl = Simple_list(nslice) # create a simple list with z_marker = nslice, nslice is the index of the first z-slice \n new_sl.add([nslice, zf_1[n_ind1, 4]])\n new_sl.add([nslice+1, zf_2[n_ind2, 4]])\n zf_1[n_ind1, 3] = pr_number # assign the new pr_number to zf_1\n zf_2[n_ind2, 3] = pr_number # assigne the same new pr_number to zf_2\n\n self.redundancy_pool[pr_key] = new_sl # stored into the redundancy pool\n\n\n for n_count in np.arange(n_exist):\n # search for the existing keys\n n_ind1 = pool_exist[n_count]\n n_ind2 = pool_exist_cov[n_count]\n pr_number = int(zf_1[n_ind1, 3])# catch up the pr_number\n pr_key = 'sl_' + str(pr_number) # this pr_key should already exist in the pool. \n\n self.redundancy_pool[pr_key].add([nslice+1, zf_2[n_ind2, 4]])\n zf_2[n_ind2, 3] = pr_number # update the pr_number in the adjacent slice","def process_image(image):\n \n # (step 1) get gray image\n gray = grayscale(image)\n \n # (step 2) do gaussian blur with kernel size is 3\n blur_gray = gaussian_blur(gray, 3)\n \n # (step 3) do canny edge detction with low 50 and hight 150\n canny_edges = canny(blur_gray, 50, 150)\n \n # (step 4) region of interset\n imshape = image.shape\n left_bottom = (50,imshape[0])\n right_bottom = (imshape[1]-50,imshape[0])\n left_top = (420, 330)\n right_top = (imshape[1]-420, 330)\n # used later to discard lines which are out of the ROI\n polygon = Polygon([(50,imshape[0]+1),(imshape[1]-50,imshape[0]+1), (imshape[1]-420, 329), (420, 329)])\n vertices = np.array([[left_bottom,left_top, right_top, right_bottom]], dtype=np.int32)\n masked_edge = region_of_interest(canny_edges, vertices)\n \n # (step 5) get lane lines from hough transform\n rho = 2\n theta = np.pi/18 \n threshold = 15\n min_line_length = 10\n max_line_gap = 20\n lines = hough_lines(masked_edge, rho, theta, threshold, min_line_length, max_line_gap)\n \n # (step 6) seperate left and right lines\n left_lines = []\n right_lines = []\n for line in lines:\n for x1,y1,x2,y2 in line:\n if y1 > y2:\n temp_line = [x1,y1,x2,y2]\n if x2 != x1:\n m = (float(y2) - float(y1)) / (float(x2) - float(x1))\n else:\n m = 1000 # it will be dicarded, any high value will work\n temp_line.append(m)\n if x1 < x2:\n left_lines.append(temp_line)\n else:\n right_lines.append(temp_line)\n else:\n temp_line = [x2,y2,x1,y1]\n if x2 != x1:\n m = (float(y1) - float(y2)) / (float(x1) - float(x2))\n else:\n m = 1000\n temp_line.append(m)\n if x1 > x2:\n left_lines.append(temp_line)\n else:\n right_lines.append(temp_line)\n \n # (step 7) get left and right lines slopes, can be done with step 6 although\n left_slop = []\n for left_line in left_lines:\n x1 = left_line[0]; y1 = left_line[1]; x2 = left_line[2]; y2 = left_line[3]; \n if x1 != x2:\n left_slop.append( (float(y2) - float(y1)) / (float(x2) - float(x1)) )\n average_left_slop = sum(left_slop)/len(left_slop) # not used yet\n \n right_slop = []\n for right_line in right_lines:\n x1 = right_line[0]; y1 = right_line[1]; x2 = right_line[2]; y2 = right_line[3]; \n if x1 != x2:\n right_slop.append( (float(y2) - float(y1)) / (float(x2) - float(x1)) )\n average_right_slope = sum(right_slop)/len(right_slop) # not used yet\n \n \n # (step 8) delete left lines which deviate from thersold_s slope\n thersold_s = 0.4\n delet_left_index = []\n i = 0\n for left_line in left_lines:\n x1 = left_line[0]; y1 = left_line[1]; x2 = left_line[2]; y2 = left_line[3]; m = left_line[4]; \n if abs(m) < thersold_s:\n delet_left_index.append(i)\n i=i+1\n for i in range((len(delet_left_index)-1), -1, -1):\n del left_lines[delet_left_index[i]]\n \n # (step 9) delete right lines which deviate from average slope\n delet_index_right = []\n i = 0\n for right_line in right_lines:\n x1 = right_line[0]; y1 = right_line[1]; x2 = right_line[2]; y2 = right_line[3]; m = right_line[4]; \n if abs(m) < thersold_s:\n delet_index_right.append(i)\n i=i+1\n for i in range((len(delet_index_right)-1), -1, -1):\n del right_lines[delet_index_right[i]]\n \n # (step 10) extrapolate left and right lines\n left_line_draw = True\n x_lefts = []\n y_lefts = []\n for line in left_lines:\n x1, y1, x2, y2, m = line\n x_lefts.append(x1)\n x_lefts.append(x2) \n y_lefts.append(y1)\n y_lefts.append(y2)\n \n if len(x_lefts) > 0:\n slope_left, c_left = np.polyfit(x_lefts, y_lefts, 1)\n else:\n slope_left, c_left = 1, 1\n left_line_draw = False\n \n right_line_draw = True\n x_rights = []\n y_rights = []\n for line in right_lines:\n x1, y1, x2, y2, m = line\n x_rights.append(x1)\n x_rights.append(x2)\n y_rights.append(y1)\n y_rights.append(y2)\n if len(x_rights) > 0:\n slope_right, c_right = np.polyfit(x_rights, y_rights, 1)\n else:\n slope_right, c_right = 1, 1\n right_line_draw = False\n \n y1_left = 530 # again hardcoded values, from ROI\n y2_left = 330 # again hardcoded values, from ROI\n x1_left = int((y1_left - c_left) / slope_left)\n x2_left = int((y2_left - c_left) / slope_left)\n \n y1_right = 530 # again hardcoded values, from ROI\n y2_right = 330 # again hardcoded values, from ROI \n x1_right = int((y1_right - c_right) / slope_right)\n x2_right = int((y2_right - c_right) / slope_right)\n \n # (step 11) check if left/right line is out of ROI\n left_point1 = Point(x1_left, y1_left)\n left_point2 = Point(x2_left, y2_left)\n \n right_point1 = Point(x1_right, y1_right)\n right_point2 = Point(x2_right, y2_right)\n \n if polygon.contains(left_point1) and polygon.contains(left_point2):\n left_line_draw = True\n else:\n #print (\"left line out\", left_point1, left_point2)\n left_line_draw = False\n \n if polygon.contains(right_point1) and polygon.contains(right_point2):\n right_line_draw = True\n else:\n #print (\"right line out\", right_point1, right_point2)\n right_line_draw = False\n \n \n # (step 12) draw lines\n line_image = np.copy(image)\n # Draw the right and left lines on image\n if left_line_draw:\n cv2.line(line_image, (x1_left, y1_left), (x2_left, y2_left), (255,0,0),5)\n if right_line_draw:\n cv2.line(line_image, (x1_right, y1_right), (x2_right, y2_right), (255,0,0),5)\n \n # Create a \"color\" binary image to combine with line image\n color_edges = np.dstack((masked_edge, masked_edge, masked_edge)) \n \n # Draw the lines on the edge image\n lines_edges = cv2.addWeighted(color_edges, 0.4, line_image, 1, 0) \n #plt.imshow(lines_edges)\n #plt.show()\n return lines_edges","def global_analysis(tomo, b_th, c=18):\n\n ## Thesholding and Volume analysis\n if c == 6:\n con_mat = [ [[0, 0, 0], [0, 1, 0], [0, 0, 0]],\n [[0, 1, 0], [1, 1, 1], [0, 1, 0]],\n [[0, 0, 0], [0, 1, 0], [0, 0, 0]] ]\n elif c == 18:\n con_mat = [[[0, 1, 0], [1, 1, 1], [0, 1, 0]],\n [[1, 1, 1], [1, 1, 1], [1, 1, 1]],\n [[0, 1, 0], [1, 1, 1], [0, 1, 0]]]\n elif c == 26:\n con_mat = [[[1, 1, 1], [1, 1, 1], [1, 1, 1]],\n [[1, 1, 1], [1, 1, 1], [1, 1, 1]],\n [[1, 1, 1], [1, 1, 1], [1, 1, 1]]]\n else:\n raise ValueError\n tomo_lbl, num_lbls = sp.ndimage.label(tomo >= b_th, structure=np.ones(shape=[3, 3, 3]))\n tomo_out = np.zeros(shape=tomo.shape, dtype=int)\n lut = np.zeros(shape=num_lbls+1, dtype=int)\n\n ## COUNTING REGIONS METHODS\n # import time\n # hold_t = time.time()\n # for lbl in range(1, num_lbls + 1):\n # ids = tomo == lbl\n # feat_sz = len(ids)\n # tomo_out[ids] = feat_sz\n # # print('[1]:', lbl, 'of', num_lbls)\n # print time.time() - hold_t\n\n ## COUNTING PIXELS METHOD\n ## Count loop\n # cont, total = 0, np.prod(tomo.shape)\n # import time\n # hold_t = time.time()\n for x in range(tomo.shape[0]):\n for y in range(tomo.shape[1]):\n for z in range(tomo.shape[2]):\n id = tomo_lbl[x, y, z]\n lut[id] += 1\n # cont += 1\n # print('[1]:', cont, 'of', total)\n #\n ## Write loop\n # cont, total = 0, np.prod(tomo.shape)\n\n for x in range(tomo.shape[0]):\n for y in range(tomo.shape[1]):\n for z in range(tomo.shape[2]):\n id = tomo_lbl[x, y, z]\n if id > 0:\n tomo_out[x, y, z] = lut[id]\n # cont += 1\n # print('[1]:', cont, 'of', total)\n # print time.time() - hold_t\n\n return tomo_out","def get_dark_images(new_path, dataframe):\n\n image_list = [i for i in dataframe['image']]\n return [1 if np.mean(np.array(Image.open(new_path + image))) == 0 else 0 for image in image_list]","def detect_labels(img: np.ndarray):\n \n # Create a range of allowed colors.\n lower_color = np.array([20, 50, 0])\n upper_color = np.array([255, 255, 255])\n\n # Keep the pixels that lie within the range.\n color_filtered = cv.inRange(\n cv.cvtColor(img, cv.COLOR_RGB2HSV),\n lower_color,\n upper_color\n )\n \n # Keeping only the really bright pixels (converted to 255), change the dull ones to 0.\n # Helps distinguish the labels from other dull colors.\n _, thresholded = cv.threshold(color_filtered, 254, 255, cv.THRESH_BINARY)\n\n # Reduce the thickness of regions. Every 30x30 sliding window of 255 in the image gets replaced by a white pixel.\n # The stronger the erosion, the more the noise is removed, with a chance of removal of good pixels as well.\n eroded = cv.erode(thresholded, np.ones((30, 30)))\n\n # Now find outlines of the bright regions that remain after the thickness reduction.\n contours, _ = cv.findContours(eroded, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)\n \n # Identify the contours that represent our labels.\n # Gotta be the two largest ones in terms of area.\n contour_areas = [(cv.contourArea(c), idx) for (idx, c) in enumerate(contours)]\n\n contour_largest_idx = max(contour_areas)[1]\n contour_second_largest_idx = max(filter(lambda item: item[1] != contour_largest_idx, contour_areas))[1]\n\n # Since the labels are sorta rectangular, find the mean of the contours' y-axes to approximate the vertical center of the labels.\n largest_vertical_center = np.mean(contours[contour_largest_idx][:, :, 1])\n second_largest_vertical_center = np.mean(contours[contour_second_largest_idx][:, :, 1])\n\n # Higher center implies the value is more towards the bottom of the image, and hence the vertical center of the bottom label.\n bottom_label = min(largest_vertical_center, second_largest_vertical_center)\n \n # Lower center implies the value is more towards the top of the image, and hence the vertical center of the top label.\n top_label = max(largest_vertical_center, second_largest_vertical_center)\n\n return bottom_label, top_label","def find_buoy(img, display_results=False):\n\n greyscale_image = cv2.cvtColor(img.astype(np.uint8), cv2.COLOR_GRAY2BGR)\n cm_image = cv2.applyColorMap(greyscale_image, cv2.COLORMAP_VIRIDIS)\n\n cm_copy_image = cm_image\n cv2.copyTo(cm_image, cm_copy_image)\n cm_image = cv2.medianBlur(cm_image, 5) # Removes salt and pepper noise\n\n mask = mask_sonar_image(cm_image, display_results)\n\n cm_circs = cv2.findContours(mask, cv2.RETR_LIST,\n cv2.CHAIN_APPROX_SIMPLE)[-2]\n cm_circs = list(filter(lambda x: (cv2.contourArea(x) > 250), cm_circs))\n\n cm_circs = sorted(cm_circs, key=lambda x: (cv2.arcLength(x, True)**2/(\n 4*math.pi*cv2.contourArea(x))), reverse=False)\n\n filtered_circles = cm_circs[0:1]\n\n circle_positions = []\n for circle in filtered_circles: # Find center of circle code\n M = cv2.moments(circle)\n cX = int(M[\"m10\"] / M[\"m00\"])\n cY = int(M[\"m01\"] / M[\"m00\"])\n circle_positions.append((cX, cY, (cv2.arcLength(circle, True)**2/(\n 4*math.pi*cv2.contourArea(circle))),\n cv2.contourArea(circle)))\n\n if display_results:\n cv2.drawContours(cm_copy_image, filtered_circles, -1, (0, 255, 0), 2)\n cv2.imshow(\"found_buoys\", cm_copy_image)\n cv2.waitKey(0)\n\n return circle_positions","def on_image(image):\n objects = [obj for obj in coco.classify(image) if obj.confidence > config.OBJECT_CONFIDENCE_THRESHOLD]\n queue.put((image, objects))","def run_visualization(image):\n original_im = Image.fromarray(image)\n seg_map = model.run(original_im)\n seg_image = label_to_color_image(seg_map).astype(np.uint8)\n\n return seg_image","def check_image(self, image, temps):\n self.logger.debug('Check image \"%s\"', image)\n _, edges = cv2.threshold(cv2.imread(image, 0), 127, 255, cv2.THRESH_BINARY)\n\n result = []\n for filename in temps:\n template = cv2.imread(filename, 0)\n width, hight = template.shape[::-1]\n\n res = cv2.matchTemplate(edges, template, cv2.TM_CCORR_NORMED)\n if self.multi:\n for point in zip(*np.where(res >= self.threshold)[::-1]):\n result.append((point, (point[0] + width, point[1] + hight)))\n else:\n _, max_val, _, max_loc = cv2.minMaxLoc(res)\n if max_val > self.threshold:\n result.append((max_loc, (max_loc[0] + width, max_loc[1] + hight)))\n return result"],"string":"[\n \"def find_cars(img, scale):\\n img_boxes = [] # Clears img_boxes so we don't keep unwanted heatmap history\\n count = 0\\n draw_img = np.copy(img)\\n\\n # Make a heatmap of zeros\\n heatmap = np.zeros_like(img[:, :, 0])\\n\\n # IMPORTANT : reading *.jpeg's (scaled 0-255, aka scaling needed), but\\n # # trained on *.png's (scaled 0-1, aka scaling not needed)\\n if img.dtype == 'uint8':\\n img = img.astype(np.float32) / 255 # aka scaling needed\\n\\n img_tosearch = img[ystart:ystop, :, :]\\n ctrans_tosearch = convert_color(img_tosearch, conv='RGB2YCrCb')\\n\\n if scale != 1: # resize whole image instead of separate windows\\n imshape = ctrans_tosearch.shape\\n ctrans_tosearch = cv2.resize(ctrans_tosearch, (np.int(imshape[1] / scale), np.int(imshape[0] / scale)))\\n\\n ch1 = ctrans_tosearch[:, :, 0]\\n ch2 = ctrans_tosearch[:, :, 1]\\n ch3 = ctrans_tosearch[:, :, 2]\\n\\n # Define blocks and steps as above\\n # These hold the number of HOG cells\\n nxblocks = (ch1.shape[1] // pix_per_cell) - 1 # Note : '//' causes integers to be result, instead of floats\\n nyblocks = (ch1.shape[0] // pix_per_cell) - 1\\n # How many features per block are we going to be extracting\\n nfeat_per_block = orient * cell_per_block ** 2\\n window = 64\\n nblocks_per_window = (window // pix_per_cell) - 1\\n # aka 75% overlap between cells\\n cells_per_step = 2 # Instead of overlap, define how many cells to step\\n nxsteps = (nxblocks - nblocks_per_window) // cells_per_step\\n nysteps = (nyblocks - nblocks_per_window) // cells_per_step\\n\\n # Compute individual channel HOG features for the entire image\\n hog1 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n hog2 = get_hog_features(ch2, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n hog3 = get_hog_features(ch3, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n\\n for xb in range(nxsteps):\\n for yb in range(nysteps):\\n count += 1\\n ypos = yb * cells_per_step\\n xpos = xb * cells_per_step\\n # Extract HOG for this patch\\n hog_feat1 = hog1[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\\n hog_feat2 = hog2[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\\n hog_feat3 = hog3[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\\n hog_features = np.hstack((hog_feat1, hog_feat2, hog_feat3))\\n\\n xleft = xpos * pix_per_cell\\n ytop = ypos * pix_per_cell\\n\\n # Extract the image patch\\n subimg = cv2.resize(ctrans_tosearch[ytop:ytop + window, xleft:xleft + window], (64, 64))\\n\\n # Get colour features\\n spatial_features = bin_spatial(subimg, size=spatial_size)\\n hist_features = color_hist(subimg, nbins=hist_bins)\\n\\n # Scale features and make a prediction\\n test_features = X_scaler.transform(\\n np.hstack((spatial_features, hist_features, hog_features)).reshape(1, -1))\\n test_prediction = svc.predict((test_features))\\n\\n if test_prediction == 1:\\n xbox_left = np.int(xleft * scale)\\n ytop_draw = np.int(ytop * scale)\\n win_draw = np.int(window * scale)\\n cv2.rectangle(draw_img, (xbox_left, ytop_draw + ystart),\\n (xbox_left + win_draw, ytop_draw + win_draw + ystart), (0, 0, 255))\\n img_boxes.append(\\n ((xbox_left, ytop_draw + ystart), (xbox_left + win_draw, ytop_draw + win_draw + ystart)))\\n heatmap[ytop_draw + ystart:ytop_draw + win_draw + ystart, xbox_left:xbox_left + win_draw] += 1\\n\\n return draw_img, img_boxes, heatmap\",\n \"def process_image( self, image ):\\n \\n # 1. detect cars in image at different scales\\n \\n # Modify x/y start stop according to scale, cars appear smaller near horizon\\n scales = config.scales\\n \\n box_list = []\\n for scale_item in scales:\\n scale = scale_item[\\\"scale\\\"]\\n detects_image, boxes = hog_subsample.find_cars(image, \\n scale_item[\\\"y_start_stop\\\"][0], scale_item[\\\"y_start_stop\\\"][1], \\n scale, \\n config.settings[\\\"svc\\\"], \\n config.settings[\\\"scaler\\\"], \\n config.settings[\\\"orient\\\"], \\n config.settings[\\\"pix_per_cell\\\"], config.settings[\\\"cell_per_block\\\"], \\n config.settings[\\\"spatial_size\\\"], config.settings[\\\"hist_bins\\\"],\\n scale_item[\\\"x_start_stop\\\"][0], scale_item[\\\"x_start_stop\\\"][1])\\n box_list.extend(boxes)\\n \\n # Update history\\n self.bbox_list_history.append( box_list )\\n bbox_list_history_list = sum(self.bbox_list_history.copy(), []) # single list of bbox lists in history\\n \\n # 2. heat map and threshold\\n \\n # Make zeros shaped like image\\n heat = np.zeros_like(image[:,:,0]).astype(np.float)\\n\\n # Add heat for each box in box list history\\n heat = heatmap_threshold_detection.add_heat(heat, bbox_list_history_list)\\n\\n # Apply threshold to help remove false positives\\n heat_threshold = config.heatmap_threshold\\n heat = heatmap_threshold_detection.apply_threshold(heat, heat_threshold)\\n\\n # Find final boxes from heatmap using label function\\n heatmap = np.clip(heat, 0, 255) # only need to clip if there is more than 255 boxes around a point?\\n labels = label(heatmap)\\n boxed_image = heatmap_threshold_detection.draw_labeled_bboxes(np.copy(image), labels)\\n \\n # frame image annotation\\n font = cv2.FONT_HERSHEY_SIMPLEX\\n cv2.putText(boxed_image,\\\"Frame:{}\\\".format(config.count), (10,100), font, 1, (255,255,255), 2 ,cv2.LINE_AA )\\n \\n return boxed_image\",\n \"def find_cars(img,\\n clf,\\n scaler,\\n color_space,\\n spatial_size,\\n hist_bins,\\n scale,\\n cells_per_step,\\n x_start_stop,\\n y_start_stop,\\n orient,\\n pix_per_cell,\\n cell_per_block):\\n draw_img = np.copy(img)\\n\\n heatmap = np.zeros_like(img[:, :, 0])\\n\\n img = img.astype(np.float32)/255\\n\\n img_to_search = img[y_start_stop[0]:y_start_stop[1], x_start_stop[0]:x_start_stop[1], :]\\n\\n # color transformed image\\n ctrans_to_search = change_color_space(img_to_search, colorspace=color_space)\\n\\n if scale != 1:\\n imshape = ctrans_to_search.shape\\n ctrans_to_search = cv2.resize(ctrans_to_search, (np.int(imshape[1]/scale), np.int(imshape[0]/scale)))\\n\\n ch1 = ctrans_to_search[:, :, 0]\\n ch2 = ctrans_to_search[:, :, 1]\\n ch3 = ctrans_to_search[:, :, 2]\\n\\n nxblocks = (ch1.shape[1] // pix_per_cell) - 1 # number of hog cells\\n nyblocks = (ch1.shape[0] // pix_per_cell) - 1\\n nfeat_per_block = orient*cell_per_block**2\\n window = 64\\n nblocks_per_window = (window // pix_per_cell) - 1\\n\\n nxsteps = (nxblocks - nblocks_per_window) // cells_per_step\\n nysteps = (nyblocks - nblocks_per_window) // cells_per_step\\n\\n # compute individual channel HOG features for the intire image\\n hog1 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n hog2 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n hog3 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n\\n for xb in range(nxsteps):\\n for yb in range(nysteps):\\n ypos = yb*cells_per_step\\n xpos = xb*cells_per_step\\n # extract hog features for this patch\\n hog_feat1 = hog1[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel()\\n hog_feat2 = hog2[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel()\\n hog_feat3 = hog3[ypos:ypos+nblocks_per_window, xpos:xpos+nblocks_per_window].ravel()\\n hog_features = np.hstack((hog_feat1, hog_feat2, hog_feat3))\\n\\n xleft = xpos*pix_per_cell\\n ytop = ypos*pix_per_cell\\n\\n # extract the image path\\n subimg = cv2.resize(ctrans_to_search[ytop:ytop+window, xleft:xleft+window], (64,64))\\n\\n # get color features\\n spatial_features = get_bin_spatial(subimg, size=spatial_size)\\n hist_features = get_color_hist(subimg, nbins=hist_bins)\\n\\n # scale features and make prediction\\n test_features = scaler.transform(np.hstack((spatial_features, hist_features, hog_features)))\\n\\n test_prediction = clf.predict(test_features)\\n\\n if test_prediction == 1:\\n xbox_left = np.int(xleft*scale)\\n ytop_draw = np.int(ytop*scale)\\n win_draw = np.int(window*scale)\\n cv2.rectangle(draw_img, (xbox_left+x_start_stop[0], ytop_draw+y_start_stop[0]), (xbox_left+win_draw+x_start_stop[0], ytop_draw+win_draw+y_start_stop[0]), (0,0,255), 6)\\n heatmap[ytop_draw+y_start_stop[0]:ytop_draw+win_draw+y_start_stop[0], xbox_left+x_start_stop[0]:xbox_left+win_draw+x_start_stop[0]] += 1\\n\\n return draw_img, heatmap\",\n \"def find_cars(img, ystart, ystop, scale, svc, X_scaler, orient, pix_per_cell, cell_per_block, spatial_size,\\n hist_bins):\\n draw_img = np.copy(img)\\n img_tosearch = img[ystart:ystop, :, :]\\n ctrans_tosearch = convert_color(img_tosearch, conv='RGB2YCrCb')\\n if scale != 1:\\n imshape = ctrans_tosearch.shape\\n ctrans_tosearch = cv2.resize(ctrans_tosearch, (np.int(imshape[1] / scale), np.int(imshape[0] / scale)))\\n\\n # Channel extraction\\n ch1 = ctrans_tosearch[:, :, 0]\\n ch2 = ctrans_tosearch[:, :, 1]\\n ch3 = ctrans_tosearch[:, :, 2]\\n\\n # Define blocks and steps as above\\n nxblocks = (ch1.shape[1] // pix_per_cell) - cell_per_block + 1\\n nyblocks = (ch1.shape[0] // pix_per_cell) - cell_per_block + 1\\n\\n # 64 was the orginal sampling rate, with 8 cells and 8 pix per cell\\n window = 64\\n nblocks_per_window = (window // pix_per_cell) - cell_per_block + 1\\n cells_per_step = 2 # Instead of overlap, define how many cells to step\\n nxsteps = (nxblocks - nblocks_per_window) // cells_per_step\\n nysteps = (nyblocks - nblocks_per_window) // cells_per_step\\n\\n # Compute individual channel HOG features for the entire image\\n hog1 = get_hog_features(ch1, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n hog2 = get_hog_features(ch2, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n hog3 = get_hog_features(ch3, orient, pix_per_cell, cell_per_block, feature_vec=False)\\n detections = []\\n\\n for xb in range(nxsteps):\\n for yb in range(nysteps):\\n ypos = yb * cells_per_step\\n xpos = xb * cells_per_step\\n # Extract HOG for this patch\\n\\n # Flatten the HOG features for each channel position\\n hog_feat1 = hog1[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\\n hog_feat2 = hog2[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\\n hog_feat3 = hog3[ypos:ypos + nblocks_per_window, xpos:xpos + nblocks_per_window].ravel()\\n # Build hog_features array by stacking each channel\\n hog_features = np.hstack((hog_feat1, hog_feat2, hog_feat3))\\n\\n xleft = xpos * pix_per_cell\\n ytop = ypos * pix_per_cell\\n\\n # Extract the image patch\\n subimg = cv2.resize(ctrans_tosearch[ytop:ytop + window, xleft:xleft + window], (64, 64))\\n\\n # Get color features\\n spatial_features = bin_spatial(subimg, size=spatial_size)\\n hist_features = color_hist(subimg, nbins=hist_bins)\\n\\n # Scale features and make a prediction\\n test_features = X_scaler.transform(\\n np.hstack((spatial_features, hist_features, hog_features)).reshape(1, -1))\\n test_prediction = svc.predict(test_features)\\n confidence = svc.decision_function(test_features)\\n\\n if test_prediction == 1 and confidence > 0.6:\\n xbox_left = np.int(xleft * scale)\\n ytop_draw = np.int(ytop * scale)\\n win_draw = np.int(window * scale)\\n x1 = xbox_left\\n y1 = ytop_draw + ystart\\n x2 = xbox_left + win_draw\\n y2 = ytop_draw + win_draw + ystart\\n detections.append((x1, y1, x2, y2))\\n return detections\",\n \"def detect_vehicles_image(input_img,\\n scaler=None,\\n classifier=None,\\n decision=DECISION_THRESHOLD,\\n tracker=None,\\n method='heatmap',\\n save_path=None,\\n prefix=None,\\n view=True,\\n show=True):\\n img = np.copy(input_img)\\n # diffent sliding window sizes\\n xy_windows = [ (100, 100), (120, 120), (140, 140), (180, 180)]\\n xy_overlaps = [(0.50, 0.50), (0.50, 0.50), (0.50, 0.50)]\\n all_car_window_list = [] # car window list for all window scales\\n\\n for i, (xy_window, xy_overlap) in enumerate(zip(xy_windows, xy_overlaps)):\\n img_height = img.shape[0]\\n img_width = img.shape[1]\\n view_height = int(img_height/2)\\n y_start_stop=[view_height, img_height]\\n xy_nums = (int(view_height/xy_window[1])*2,\\n int(img_width/xy_window[0])*2)\\n\\n window_list = slide_window(img, xy_window=xy_window,\\n xy_overlap=xy_overlap, y_start_stop=y_start_stop)\\n wprefix = str(prefix) + 'w' + str(i) + 'i'\\n #if view:\\n #show_grid_view(img, window_list, xy_nums=xy_nums)\\n car_window_list = predit_vehicles(\\n img, window_list,\\n scaler=scaler, classifier=classifier,\\n decision=decision,\\n save_path=save_path,\\n prefix=wprefix)\\n all_car_window_list.extend(car_window_list)\\n if view:\\n show_window_img = draw_boxes(img, all_car_window_list, color=(0, 255, 255), thick=3)\\n plt.imshow(show_window_img)\\n if show:\\n plt.show()\\n window_img = None\\n if method == 'nms':\\n ### track the cars using nms\\n track_car_windows = tracker.track_nms(all_car_window_list)\\n window_img = draw_boxes(img, track_car_windows, color=(0, 255, 0), thick=3)\\n else:\\n ### track the cars using heat map and labels\\n track_labels = tracker.track_labels(all_car_window_list, view=view)\\n #print(track_labels[1], 'cars found')\\n window_img= Tracker.draw_labeled_bboxes(img, track_labels)\\n\\n\\n if view:\\n plt.imshow(window_img)\\n if show:\\n plt.show()\\n\\n return window_img\",\n \"def process_frame(self, img):\\n found = []\\n for scale in self.settings['scales']:\\n found.extend(find_cars(img, scale[0], scale[1], scale[2], scale[3], scale[4], self.clf, self.scaler,\\n self.settings['color_space'], self.settings['orient'], self.settings['pix_per_cell'],\\n self.settings['cell_per_block'], self.settings['spatial_size'],\\n self.settings['hist_bins'], self.log, self.settings['min_conf']))\\n\\n self.prev_frames.append(found)\\n if len(self.prev_frames) > self.settings['n_frames']:\\n self.prev_frames.pop(0)\\n heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\\n for frame in self.prev_frames:\\n f_heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\\n add_heat(f_heatmap, frame)\\n heatmap = heatmap * f_heatmap\\n\\n acc_heatmap = np.copy(heatmap)\\n\\n bboxes = find_bboxes_from_heatmap(apply_threshold(heatmap,\\n self.settings['heat_threshold'] ** self.settings['n_frames']))\\n\\n if self.settings['DEBUG']:\\n single_heatmap = add_heat(np.zeros_like(img[:, :, 0]).astype(np.float), found)\\n single_heatmap = np.clip(single_heatmap, 0, 255)\\n single_heatmap = np.dstack((single_heatmap, single_heatmap, single_heatmap))\\n acc_heatmap = np.sqrt(acc_heatmap)\\n acc_heatmap = np.clip(acc_heatmap, 0, 255)\\n acc_heatmap = np.dstack((acc_heatmap, acc_heatmap, acc_heatmap))\\n labels = np.clip(heatmap, 0, 1)*255\\n labels = np.dstack((labels, labels, labels))\\n final = draw_boxes(img, bboxes)\\n frame = np.concatenate((np.concatenate((single_heatmap, acc_heatmap), axis=1),\\n np.concatenate((labels, final), axis=1)), axis=0)\\n return cv2.resize(frame, (int(frame.shape[1]/2), int(frame.shape[0]/2)))\\n else:\\n return draw_boxes(img, bboxes)\",\n \"def process_frame(self, img):\\n if self.heatmap is None:\\n self.heatmap = np.zeros((img.shape[0], img.shape[1], self.n_frames), dtype=np.float32)\\n\\n img_blur = gaussian_blur(np.copy(img), 3)\\n heat = detect_cars_multi_area(img_blur, self.clf, self.xy_window, self.stride, self.y_start_stops,\\n self.image_size_factors, self.x_padding, heatmap=True, n_jobs=self.n_jobs)\\n\\n heat = gaussian_blur(heat, 21)\\n self.heatmap[:, :, self.frame_cnt % self.n_frames] = heat\\n\\n if self.frame_cnt < self.n_frames:\\n heat = np.mean(self.heatmap[:, :, :self.frame_cnt], axis=2)\\n else:\\n heat = np.mean(self.heatmap, axis=2)\\n\\n heat_thresh = np.zeros(heat.shape, dtype=np.uint8)\\n heat_thresh[heat > self.heatmap_thresh] = 255\\n\\n boxes_contours = bb_by_contours(heat_thresh)\\n boxes_contours = self._remove_outliers(boxes_contours)\\n\\n used_boxes = self._update_detections(boxes_contours)\\n\\n self._unhide_if_applicable(boxes_contours, used_boxes)\\n\\n self._create_new_detections(boxes_contours, used_boxes)\\n\\n self._remove_lost_detections()\\n if self.auto_draw:\\n img = self.draw_info(img)\\n self.frame_cnt += 1\\n\\n return img\",\n \"def process_image(self, img):\\n show = False\\n # draw_image = np.copy(img)\\n # search all scale windows and return cars' windows\\n hots = search_scales(img,self.svc, self.X_scaler, self.orient, \\n self.pix_per_cell, self.cell_per_block, self.spatial_size, self.hist_bins)\\n # update the self boxes\\n self.update(hots)\\n # detect cars using threshold\\n window_image = self.detect(img, 2)\\n if show:\\n plt.imshow(window_image)\\n plt.show()\\n return window_image\",\n \"def extract_vehicles(self):\\n heatmap_threshed = apply_threshold(self.avg_heatmap, 7)\\n\\n labels = label(heatmap_threshed)\\n self.binary_map = labels[0]\\n self.number_of_found_cars = labels[1]\",\n \"def find_cars_image(image, clf, hyperparams, box_color=None, old_heatmap=None):\\n heat_threshold = hyperparams[\\\"HEAT_THRESHOLD\\\"]\\n # Scan the image and get the new heatmap\\n _, heatmap = scan_multiple_win_sizes(image, clf, hyperparams, box_colors=None)\\n # Build an aggregated heatmap of this heatmap and the old heatmap\\n agg_heatmap = old_heatmap+heatmap if old_heatmap is not None else heatmap\\n # Apply threshold to find cars\\n thresh_heatmap = apply_threshold(agg_heatmap, heat_threshold)\\n # Label cars\\n labels_heatmap, n_cars = label(thresh_heatmap)\\n # Draw labeled boxes and get bounding boxes\\n draw_image, bboxes = draw_labeled_bboxes(np.zeros_like(image), labels_heatmap, n_cars, box_color=box_color)\\n # Return values\\n return bboxes, draw_image, labels_heatmap, heatmap, agg_heatmap\",\n \"def process_image(img):\\n avg_heat = np.zeros_like(image[:, :, 0]).astype(np.float)\\n out_img, out_boxes, heat_map = find_cars(img, scale)\\n\\n # -----\\n heat = np.zeros_like(image[:, :, 0]).astype(np.float)\\n # Add heat to each box in box list\\n heat = add_heat(heat, out_boxes)\\n\\n # Apply threshold to help remove false positives\\n heat = apply_threshold(heat, 1)\\n # heat = apply_threshold(heat, 2)\\n\\n avg_heat = cv2.addWeighted(avg_heat, 0.8, heat, 0.2, 0.)\\n\\n # Apply threshold to help remove near-zero noise\\n heatmap = apply_threshold(cv2.blur(avg_heat, (15, 15)), 0.5)\\n\\n # Visualize the heatmap when displaying\\n heatmap = np.clip(heatmap, 0, 255) # limit the values in the heatmap array\\n\\n # -----\\n # Find final boxes from heatmap using label function\\n labels = label(heat_map)\\n # Draw bounding boxes on a copy of the image\\n output_img = draw_labeled_bboxes(np.copy(img), labels)\\n\\n # -----\\n r = 377.0 / avg_heat.shape[1] # calculate height\\n dim = (377, int(avg_heat.shape[0] * r)) # width, height\\n resized = cv2.resize(avg_heat, dim, interpolation=cv2.INTER_AREA)\\n # add to output_img\\n output_img[0:0 + resized.shape[0], 0:0 + resized.shape[1]] = np.repeat(resized[:, :, np.newaxis], 3,\\n axis=2) * 255\\n output_img = cv2.putText(output_img, \\\"Heatmap\\\", (34, 34), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 2,\\n cv2.LINE_AA)\\n\\n # -----\\n return output_img\",\n \"def process_image(img, debug=True):\\n global X_scaler, svc, feature, heatmap\\n\\n global top_left_x, top_left_y, bottom_right_x, bottom_right_y\\n global start_win_width, start_win_height, end_win_width, end_win_height\\n global overlap_frac_x, overlap_frac_y, layer\\n\\n out_img = np.copy(img)\\n\\n # When training the model, the images are loaded by cv2 => BGR (they might be converted later, though)\\n # Since moviepy read images as RGB, we need to convert them to BGR first\\n img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)\\n\\n windows = get_windows(img,\\n x_start_stop=[top_left_x, bottom_right_x],\\n y_start_stop=[top_left_y, bottom_right_y],\\n overlap=(overlap_frac_x, overlap_frac_y),\\n window_start_size=(start_win_width, start_win_height),\\n window_end_size=(end_win_width, end_win_height),\\n layers=layer)\\n\\n car_windows = []\\n for window in windows:\\n # Extract bounding box image from frame\\n cropped_img = get_image_region(img, bbox=window)\\n\\n # Get feature vector\\n feature_vector = feature.extract(cropped_img).astype(np.float64)\\n\\n # Normalize vector\\n scaled_feature_vetor = X_scaler.transform(feature_vector)\\n\\n # Make prediction\\n pred = svc.predict(scaled_feature_vetor)\\n\\n # If pred[0] == 1. then a car was detected\\n if pred[0] == 1.:\\n car_windows.append(window)\\n\\n # Add heat to heatmap where cars were detected\\n heatmap.add_heat(car_windows)\\n\\n # Get labels from heatmap\\n l = heatmap.get_labels()\\n\\n # Create image with all detected labels (post-heatmap)\\n label_img = draw_labeled_bboxes(out_img, l)\\n\\n if debug:\\n print('cars found: {}'.format(l[1]))\\n\\n # Create image with all detected cars (pre-heatmap)\\n box_img = draw_boxes(out_img, car_windows)\\n\\n # Create image that is an average of the last frames heatmap\\n last_heatmaps_img = heatmap.last_maps_average()\\n\\n # Reduce size to 1/3\\n small_last_heatmaps_img = cv2.resize(last_heatmaps_img,\\n (last_heatmaps_img.shape[1]//3, last_heatmaps_img.shape[0]//3))\\n small_current_heatmap_img = cv2.resize(heatmap.current_map, (heatmap.shape[1]//3, heatmap.shape[0]//3))\\n small_box_img = cv2.resize(box_img, (box_img.shape[1]//3, box_img.shape[0]//3))\\n\\n # Create debug view\\n right_img = np.vstack((small_last_heatmaps_img, small_current_heatmap_img, small_box_img))\\n\\n # Add debug view to video\\n out_img = np.hstack((label_img,\\n right_img))\\n else:\\n out_img = np.copy(label_img)\\n\\n # Move current heatmap to archive, create new map for next frame\\n heatmap.next_map()\\n\\n return out_img\",\n \"def predict_crashes_with_tracking_visualization(images, carpoints, centered):\\n images = images.copy()\\n lh = 5\\n # plot 5 frames forward\\n # check size of the cars to indicate depth\\n color = (0, 255, 255)\\n wh = [(x[2] - x[0], x[3] - x[1]) for x in carpoints[0]]\\n for i in range(len(centered)):\\n look_ahead = [[(0, 0) for i in range(len(centered[i]))] for j in range(lh + 1)]\\n\\n if i in [0]: continue\\n\\n dxs = [0 for i in range(len(centered[i]))]\\n dys = [0 for i in range(len(centered[i]))]\\n\\n for j in range(len(centered[i])):\\n dxs[j] = centered[i][j][0] - centered[i - 1][j][0]\\n dys[j] = centered[i][j][1] - centered[i - 1][j][1]\\n\\n look_ahead[0] = centered[i]\\n for j in range(1, lh + 1):\\n for k in range(len(centered[i])):\\n xc = look_ahead[j - 1][k][0] + dxs[k] * 2\\n yc = look_ahead[j - 1][k][1] + dys[k] * 2\\n look_ahead[j][k] = (xc, yc)\\n # print(look_ahead[j][k])\\n curr_image = images[i]\\n w, h = wh[k]\\n cv2.rectangle(curr_image, (int(xc - w / 2), int(yc - h / 2)), (int(xc + w / 2), int(yc + h / 2)), color,\\n 2)\\n images[i] = curr_image\\n\\n for j in range(1, lh + 1):\\n min_cars = (0, 0)\\n min_dist = 500000000\\n wh_ind = (0, 0)\\n for k in range(0, len(look_ahead[j]) - 1):\\n for l in range(k + 1, len(look_ahead[j])):\\n x1, y1 = look_ahead[j][k]\\n x2, y2 = look_ahead[j][l]\\n dist = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)\\n if dist < min_dist:\\n min_dist = dist\\n min_cars = (x1, y1, x2, y2)\\n wh_ind = (k, l)\\n\\n x1, y1, x2, y2 = min_cars\\n w1, h1 = wh[wh_ind[0]]\\n w2, h2 = wh[wh_ind[1]]\\n curr_image = images[i]\\n cv2.rectangle(curr_image, (int(x1 - w1 / 2), int(y1 - h1 / 2)), (int(x1 + w1 / 2), int(y1 + h1 / 2)),\\n (255, 255, 0),\\n 2)\\n cv2.rectangle(curr_image, (int(x2 - w2 / 2), int(y2 - h2 / 2)), (int(x2 + w2 / 2), int(y2 + h2 / 2)),\\n (255, 255, 0),\\n 2)\\n images[i] = curr_image\\n\\n return images\",\n \"def find_tfl_lights(image: np.ndarray):\\n kernel = np.array(\\n [[0, 0, 0],\\n [0, 0, 0],\\n [0, 1, 0],\\n [1, 3, 1],\\n [0, 1, 0]])\\n\\n kernel = kernel - kernel.mean()\\n\\n red_image = image.copy()\\n red_image = red_image[:, :, 0]\\n _, red_image = cv2.threshold(red_image, 200, 255, cv2.THRESH_BINARY)\\n output = cv2.filter2D(red_image, -1, kernel)\\n output_copy = output.copy()\\n output = ndimage.maximum_filter(output, size=30)\\n output = output - output_copy\\n mask = ((output == 0) & (output_copy > 0))\\n red_points = np.where(mask)\\n positions = []\\n final_red_points = []\\n for point1 in range(len(red_points[0])):\\n point = (red_points[0][point1], red_points[1][point1])\\n pixel = image[point[0], point[1]]\\n if (pixel[1] < 170 or pixel[2] < 120) and pixel[0] >= 200:\\n final_red_points.append(point)\\n final_red_points = filter_points(final_red_points)\\n positions += final_red_points\\n auxilary = ['r'] * len(positions)\\n red_x = [val[1] for val in final_red_points]\\n red_y = [val[0] for val in final_red_points]\\n green_image = image.copy()\\n green_image = green_image[:, :, 1]\\n _, green_image = cv2.threshold(green_image, 190, 255, cv2.THRESH_BINARY)\\n output = cv2.filter2D(green_image, -1, kernel)\\n output_copy = output.copy()\\n output = ndimage.maximum_filter(output, size=30)\\n output = output - output_copy\\n mask = ((output == 0) & (output_copy > 0))\\n green_points = np.where(mask)\\n final_green_points = []\\n for point1 in range(len(green_points[0])):\\n point = (green_points[0][point1], green_points[1][point1])\\n pixel = image[point[0], point[1]]\\n if pixel[0] <= 180 and pixel[1] >= 220 and pixel[2] >= 160:\\n final_green_points.append(point)\\n\\n final_green_points = filter_points(final_green_points)\\n positions += final_green_points\\n auxilary += ['g'] * len(final_green_points)\\n green_x = [val[1] for val in final_green_points]\\n green_y = [val[0] for val in final_green_points]\\n print(f\\\"There are {len(green_x) + len(red_x)} points\\\")\\n return positions, auxilary\",\n \"def get_classification(self, image):\\n\\n temp = cv2.cvtColor(cv2.GaussianBlur(image,(5,5),0), cv2.COLOR_BGR2HSV)\\n\\n maskR = cv2.inRange(temp, np.array([0, 195, 240]), np.array([5, 215, 255]))\\n maskY = cv2.inRange(temp, np.array([28, 195, 240]), np.array([35, 215, 255]))\\n maskG = cv2.inRange(temp, np.array([60, 195, 240]), np.array([67, 215, 255]))\\n\\n filt_r = cv2.bitwise_and(temp,temp, mask= maskR)\\n filt_y = cv2.bitwise_and(temp,temp, mask= maskY)\\n filt_g = cv2.bitwise_and(temp,temp, mask= maskG)\\n\\n # Bitwise-AND mask and original image\\n self.debug_im1 = filt_r\\n self.debug_im2 = filt_y\\n self.debug_im3 = filt_g\\n status = TrafficLight.UNKNOWN\\n\\n if np.sum(maskR>10):\\n print('detected red')\\n status = TrafficLight.RED\\n elif np.sum(maskY>10):\\n print('detected yellow')\\n status = TrafficLight.YELLOW\\n elif np.sum(maskG>10):\\n print('detected green')\\n status = TrafficLight.GREEN\\n\\n # self.debug()\\n return status\",\n \"def car_zones(self, image, Hp):\\n # 1) Load data from the object\\n windows_feat = self.sampling_data\\n clf = self.clf\\n scaler = self.scaler\\n overlap = self.overlap\\n color_space = self.color_space\\n spatial_size = self.spatial_size\\n hist_bins = self.hist_bins\\n orient = self.orient\\n pix_per_cell = self.pix_per_cell\\n cell_per_block = self.cell_per_block\\n hog_channel = self.hog_channel \\n spatial_feat = self.spatial_feat\\n hist_feat = self.hist_feat \\n hog_feat = self.hog_feat\\n \\n # 2) Create a copy of the image\\n cimage = np.copy (image)\\n # 3) Create a empty list where to store the detected windows\\n detected_windows_list = []\\n # 4) Loop into the windows \\n for window_feat in windows_feat:\\n # 4.1) Get the window using sliding_window\\n windows = slide_window(image, x_start_stop=window_feat[0],\\n y_start_stop=window_feat[1], \\n xy_window=window_feat[2], \\n xy_overlap=overlap)\\n # 4.2) Get the local probabilities\\n hp, hot_windows = search_windows(cimage, windows, clf, scaler, color_space=color_space, \\n spatial_size=spatial_size, hist_bins=hist_bins, \\n orient=orient, pix_per_cell=pix_per_cell, \\n cell_per_block=cell_per_block, \\n hog_channel=hog_channel, spatial_feat=spatial_feat, \\n hist_feat=hist_feat, hog_feat=hog_feat) \\n # 4.3) Store the probabilities into the Hp matrix\\n Hp = add_probabilities(Hp, hp, windows)\\n # 4.4) Store the detected boxes into the list\\n detected_windows_list.extend(hot_windows)\\n \\n # 5) Return the detected windows and the probability matrix (Hp)\\n return detected_windows_list, Hp\",\n \"def process_image(self, image, debug=False):\\n # Get old heatmap from internal deque representation or initialize with zeros if unknown\\n old_heatmap = np.zeros(image.shape[0:2]) if len(self.heatmap_deque) == 0 else sum(self.heatmap_deque)\\n # Scale image from 0.0..1.0\\n modified_image = np.copy(image)/255.\\n # Find cars in image\\n _, draw_image, labels_heatmap, new_heatmap, agg_heatmap = find_cars_image(modified_image, self.clf,\\n self.hyperparams, self.box_color, old_heatmap=old_heatmap)\\n # Overlay bounding boxes on top of image\\n draw_image[(draw_image == 0).all(2)] = modified_image[(draw_image == 0).all(2)]\\n # Add new heatmap to deque\\n self.heatmap_deque.append(new_heatmap)\\n # In debug mode ...\\n if debug:\\n # ... create a new canvas\\n result_image = np.zeros_like(image).astype(float)\\n h = result_image.shape[0]\\n w = result_image.shape[1]\\n # get the new heatmap and aggregated heatmap as \\\"fancy heatmap\\\" representation\\n new_heatmap_rgb = fancy_heatmap(new_heatmap, self.hyperparams[\\\"HEAT_THRESHOLD\\\"])\\n agg_heatmap_rgb = fancy_heatmap(agg_heatmap, self.hyperparams[\\\"HEAT_THRESHOLD\\\"])\\n # labels_heatmap_rgb will just be the grayscale value scaled to 0..1 and replicated across all 3 channels\\n labels_heatmap_rgb = cv2.merge([normalize(labels_heatmap, norm='max')]*3)\\n # place all the different images into their respective quadrant of the output canvas\\n result_image[0:h//2, 0:w//2] = cv2.resize(draw_image, (w//2, h//2), interpolation=cv2.INTER_AREA)\\n result_image[h//2:h, 0:w//2] = cv2.resize(labels_heatmap_rgb, (w//2, h-h//2), interpolation=cv2.INTER_AREA)\\n result_image[0:h//2, w//2:w] = cv2.resize(new_heatmap_rgb, (w-w//2, h//2), interpolation=cv2.INTER_AREA)\\n result_image[h//2:h, w//2:w] = cv2.resize(agg_heatmap_rgb, (w-w//2, h-h//2), interpolation=cv2.INTER_AREA)\\n # rescale result to 0..255\\n result_image = (result_image*255).astype(int)\\n else:\\n # For non-debug mode, just take scaled-back the find_cars draw_image return value\\n result_image = (draw_image*255).astype(int)\\n return result_image\",\n \"def detect(self, img):\\n # 1. color filter\\n lane_img = self.color_filter(img.copy())\\n # 2. gaussian blur\\n lane_img = self.gaussian_blur(lane_img)\\n # 3.canny edge detection\\n lane_img = self.canny(lane_img)\\n # 4. region of interest crop\\n lane_img = self.region_of_interest(lane_img)\\n # 5. hough lines\\n lane_img = self.hough_lines(lane_img)\\n # 6. overlay lane over original image\\n result_img = weighted_img(lane_img, img)\\n\\n return result_img\",\n \"def get_classification(self, cv2_image):\\n def get_green_mask(img_hsv):\\n lower_green = np.array([40, 10, 10])\\n upper_green = np.array([90, 255, 255])\\n mask = cv2.inRange(img_hsv, lower_green, upper_green)\\n return mask\\n\\n def get_red_mask(img_hsv):\\n # red lower mask (0-10)\\n lower_red = np.array([20, 1, 150])\\n upper_red = np.array([30, 120, 255])\\n mask0 = cv2.inRange(img_hsv, lower_red, upper_red)\\n\\n # Red upper mask\\n lower_red = np.array([170, 50, 50])\\n upper_red = np.array([180, 255, 255])\\n mask1 = cv2.inRange(img_hsv, lower_red, upper_red)\\n\\n # join my masks\\n mask = mask0 + mask1\\n return mask\\n\\n def get_traffic_light_color(cv2_image):\\n # Convert BGR to HSV\\n img_hsv = cv2.cvtColor(cv2_image, cv2.COLOR_BGR2HSV)\\n height, width, _ = img_hsv.shape\\n\\n green_mask = get_green_mask(img_hsv)\\n red_mask = get_red_mask(img_hsv)\\n\\n dico = {\\n TrafficLight.RED: np.count_nonzero(red_mask[0:int(height / 3), :]),\\n TrafficLight.YELLOW: np.count_nonzero(red_mask[int(height / 3):int(height * 2 / 3), :]),\\n TrafficLight.GREEN: np.count_nonzero(green_mask[int(height * 2 / 3):height, :])\\n }\\n\\n v = list(dico.values())\\n k = list(dico.keys())\\n return k[v.index(max(v))]\\n\\n output_dict = self.run_inference_for_single_image(cv2_image)\\n traffic_light_image = self.get_traffic_light(cv2_image, output_dict)\\n\\n # no traffic light found\\n if traffic_light_image is None:\\n return TrafficLight.UNKNOWN\\n\\n return get_traffic_light_color(traffic_light_image)\",\n \"def find_tfl_lights(c_image: np.ndarray):\\n red_img = c_image[:, :, 0]\\n green_img = c_image[:, :, 1]\\n new_red = convolution(red_img)\\n new_green = convolution(green_img)\\n x_red, y_red = get_max_candidate(new_red)\\n x_green, y_green = get_max_candidate(new_green)\\n return x_red, y_red, x_green, y_green\",\n \"def identify_dbs(image):\\n locations = {\\\"red\\\": Point(), \\\"green\\\": Point(), \\\"blue\\\": Point()}\\n masks = {\\\"red\\\": [], \\\"green\\\": [], \\\"blue\\\": []}\\n\\n bridge = cv_bridge.CvBridge()\\n image = bridge.imgmsg_to_cv2(image, \\\"bgr8\\\")\\n hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)\\n\\n # upper and lower bounds for red\\n # using python 3 bgr [0,0,188] = hsv [0, 255, 188]\\n lower_red = numpy.array([0, 100, 100]) \\n upper_red = numpy.array([10, 255, 255])\\n masks[\\\"red\\\"] = cv2.inRange(hsv, lower_red, upper_red)\\n\\n # upper and lower bounds for green\\n # using python 3 bgr [0,175,0] = hsv [60, 255, 175]\\n lower_green = numpy.array([50, 100, 100]) \\n upper_green = numpy.array([70, 255, 255])\\n masks[\\\"green\\\"] = cv2.inRange(hsv, lower_green, upper_green)\\n\\n # upper and lower bounds for blue\\n # using python 3 bgr [176, 0, 17] = hsv [123, 255, 176]\\n lower_blue = numpy.array([113, 100, 100])\\n upper_blue = numpy.array([133, 255, 255])\\n masks[\\\"blue\\\"] = cv2.inRange(hsv, lower_blue, upper_blue)\\n\\n x, y, w, h = 0, 0, image.shape[1]//3, image.shape[0]\\n\\n for color, mask in masks.items():\\n pixels = {\\\"left\\\": 0, \\\"middle\\\": 0, \\\"right\\\": 0}\\n \\n # define section of image to use for left, middle and right\\n left = mask[y:y+h, x:x+w]\\n middle = mask[y:y+h, x+w:x+w+w]\\n right = mask[y:y+h, x+w+w:x+3*w]\\n\\n # count the number of pixels in each section\\n pixels[\\\"left\\\"] = cv2.countNonZero(left)\\n pixels[\\\"middle\\\"] = cv2.countNonZero(middle)\\n pixels[\\\"right\\\"] = cv2.countNonZero(right)\\n location = max(pixels, key=pixels.get)\\n\\n # map the relative position of the db (left, middle, right) to the correct Point()\\n locations[color] = db_locations[location]\\n \\n return locations\",\n \"def detect_cars(img, clf, xy_window, stride, cur_sizes_factors, cur_y_start_stop, cur_x_padding):\\n\\n image_tar_size = (int(img.shape[0] * cur_sizes_factors),\\n int(img.shape[1] * cur_sizes_factors))\\n\\n # open cv needs the shape in reversed order (width, height)\\n img_scaled = cv2.resize(img, image_tar_size[::-1])\\n # check if search area is smaller than window.\\n cur_y_start_stop = (cur_y_start_stop * cur_sizes_factors).astype(np.uint32)\\n\\n # if the window size is bigger than the search area return an empty array\\n search_area_height = cur_y_start_stop[1] - cur_y_start_stop[0]\\n if search_area_height < xy_window[1] or img_scaled.shape[1] < xy_window[0]:\\n return np.ndarray((0, 4))\\n\\n # Add padding (zeros) on the x axis\\n img_scaled = add_padding(img_scaled, cur_x_padding)\\n windows = slide_window(img_scaled, y_start_stop=cur_y_start_stop, xy_window=xy_window,\\n stride=stride)\\n\\n features = extract_features(img_scaled, clf, windows, cur_y_start_stop, xy_window, stride)\\n des_func = clf.named_steps['clf'].decision_function(features)\\n\\n windows = remove_padding_from_bb(windows, cur_x_padding)\\n # windows have to be rescaled to account for the resized image\\n windows = (windows / cur_sizes_factors).astype(np.uint32)\\n windows = windows[des_func > 0]\\n\\n des_func = des_func[des_func > 0]\\n\\n return windows, des_func\",\n \"def find_gate_posts(img, display_results=False):\\n\\n greyscale_image = cv2.cvtColor(img.astype(np.uint8), cv2.COLOR_GRAY2BGR)\\n cm_image = cv2.applyColorMap(greyscale_image, cv2.COLORMAP_VIRIDIS)\\n\\n kernel = np.ones((5, 5), np.uint8)\\n\\n # cm_image = cv2.erode(cm_image, kernel, iterations=1)\\n kernel = np.ones((5, 5), np.uint8)\\n cm_image = cv2.dilate(cm_image, kernel, iterations=3)\\n kernel = np.ones((4, 4), np.uint8)\\n cm_image = cv2.erode(cm_image, kernel, iterations=1)\\n\\n cm_image = cv2.medianBlur(cm_image, 5) # Removes salt and pepper noise\\n\\n cm_copy_image = cm_image\\n cv2.copyTo(cm_image, cm_copy_image)\\n\\n mask = mask_sonar_image(cm_image, display_results)\\n\\n cm_circles = cv2.findContours(mask, cv2.RETR_LIST,\\n cv2.CHAIN_APPROX_SIMPLE)[-2]\\n\\n cm_circles = list(filter(lambda x: (cv2.contourArea(x) > 200\\n and cv2.contourArea(x) < 5000),\\n cm_circles))\\n cm_circles = sorted(cm_circles,\\n key=lambda x: (arc_circ(x)),\\n reverse=False)\\n\\n cm_circles = list(filter(lambda x: (cv2.arcLength(x, True)**2/(4\\n * math.pi*cv2.contourArea(x)) > 2.5), cm_circles))\\n\\n if len(cm_circles) < 1:\\n print(\\\"Not enough circles found\\\")\\n return None\\n\\n filtered_circles = cm_circles[0:1]\\n\\n circle_positions = []\\n for circle in filtered_circles: # find center of circle code\\n M = cv2.moments(circle)\\n cX = int(M[\\\"m10\\\"] / M[\\\"m00\\\"])\\n cY = int(M[\\\"m01\\\"] / M[\\\"m00\\\"])\\n circle_positions.append((cX, cY, arc_circ(circle), cv2.arcLength(\\n circle, True)**2/(4*math.pi*cv2.contourArea(circle))))\\n\\n if display_results:\\n cv2.drawContours(cm_copy_image, filtered_circles, -1, (0, 255, 0), 2)\\n cv2.imshow(\\\"found_gate_posts\\\", cm_copy_image)\\n cv2.waitKey(0)\\n\\n return circle_positions\",\n \"def vision(image):\\n vis_map = resize(image, alpha, beta)\\n print(\\\"Resized map from the blue mask\\\")\\n\\n world = rotate(vis_map)\\n\\n plt.figure()\\n plt.imshow(world[:, :, ::-1])\\n plt.show()\\n object_grid, occupancy_grid = detect_object(world)\\n print(\\\"Result of the red mask\\\")\\n plt.figure()\\n plt.imshow(occupancy_grid)\\n plt.show()\\n return object_grid, occupancy_grid, world\",\n \"def get_classification_simulator(self, image):\\n\\n r_channel = image[:,:,2]\\n g_channel = image[:,:,1]\\n\\n\\n\\n # Threshold color channel\\n s_rgy_min = 50\\n s_thresh_min = 245\\n s_thresh_max = 255\\n \\n #s_binary = np.zeros_like(r_channel)\\n r_binary = np.zeros_like(r_channel)\\n g_binary = np.zeros_like(r_channel)\\n y_binary = np.zeros_like(r_channel)\\n \\n #s_binary[((r_channel >= s_thresh_min) & (r_channel <= s_thresh_max)) | ((g_channel >= s_thresh_min) & (g_channel <= s_thresh_max))] = 1\\n \\n \\n r_binary[((r_channel >= s_thresh_min) & (r_channel <= s_thresh_max)) & (g_channel <= s_rgy_min)] = 1\\n g_binary[((g_channel >= s_thresh_min) & (g_channel <= s_thresh_max)) & (r_channel <= s_rgy_min)] = 1\\n y_binary[((r_channel >= s_thresh_min) & (r_channel <= s_thresh_max)) & ((g_channel >= s_thresh_min) & (g_channel <= s_thresh_max))] = 1\\n \\n\\n #res = cv2.bitwise_and(img,img,mask = s_binary)\\n \\n #maxx=image.shape[1]\\n maxy=image.shape[0]\\n \\n y_top=0\\n window_size_y=50\\n y_bottom=y_top+window_size_y\\n \\n max_color=0\\n tf_color=TrafficLight.UNKNOWN\\n \\n while (y_bottom< maxy):\\n #print(img[y_top:y_bottom,:,:])\\n rs= r_binary[y_top:y_bottom,:].sum()\\n gs= g_binary[y_top:y_bottom,:].sum()\\n ys= y_binary[y_top:y_bottom,:].sum()\\n if (rs>max_color):\\n max_color=rs\\n tf_color=TrafficLight.RED\\n if (gs>max_color):\\n max_color=gs\\n tf_color=TrafficLight.GREEN\\n if (ys>max_color):\\n max_color=ys\\n tf_color=TrafficLight.YELLOW\\n y_top+=window_size_y\\n y_bottom+=window_size_y\\n \\n if (max_color<100):\\n tf_color=TrafficLight.UNKNOWN\\n \\n\\n\\n return tf_color\",\n \"def find_components(image,deltaPix,lens_rad_arcsec = 6.0,lens_rad_ratio = None,\\n center_x = None,center_y = None, gal_rad_ratio = 0.1,\\n min_size_arcsec=0.7,thresh=0.5, many_sources = True,\\n show_locations=False, title = None):\\n\\n # convert minimum component size in pixel units\\n min_size = int(min_size_arcsec / deltaPix)\\n \\n #Convert lens radius and central galaxy radius to pixels\\n if lens_rad_ratio == None:\\n lens_rad = int(lens_rad_arcsec / deltaPix)\\n else: lens_rad = int(len(image) * lens_rad_ratio)\\n gal_rad = int(len(image) * gal_rad_ratio)\\n \\n \\n# im2[im2 < im2.min() + 10.*thresh] = 0.\\n \\n # downscale source image to data resolution (for speed + easier for converting to data units)\\n #down = image_util.re_size(image, factor=supersampling_factor_source)\\n \\n # apply laplacian of gaussian (LoG) filter to enhance maxima\\n LoG = - gaussian_laplace(deepcopy(image), sigma = min_size, mode='constant', cval=0.) \\n \\n# LoG = - gaussian_laplace(deepcopy(im2), sigma = 2., mode='constant', cval=0.)\\n \\n filtered = deepcopy(LoG)\\n \\n# print(LoG.min(),LoG.max(),np.abs(LoG.min()) + thresh )\\n \\n# print(type(filtered))\\n \\n #background mean and std of filtered image \\n corners = np.zeros([4,5,5])\\n corners[0] = LoG[0:5,0:5]\\n corners[1] = LoG[-5:,0:5]\\n corners[2] = LoG[0:5,-5:]\\n corners[3] = LoG[-5:,-5:]\\n means = []\\n stds = []\\n for c in corners:\\n mn,med,s = sigma_clipped_stats(c,sigma=3.0)\\n means.append(mn)\\n stds.append(s)\\n \\n stds=np.array(stds)\\n means = np.array(means)\\n means_std = np.std(means)\\n# means_good = means[(means >= means.mean() - 1.0 * means_std) & (means <= means.mean() + 1.0 * means_std)]\\n means_good = means[(np.abs(means) <= np.abs(means).min() + 1.0 * means_std)]\\n mean_bg = np.mean(means_good)\\n std_bg = np.mean(stds[(np.abs(means) <= np.abs(means).min() + 1.0 * means_std)])\\n# print('LoG means: {}, Log means std: {}, Log means good: {}, LoG avg mean: {}'.format(means,means_std,means_good,mean_bg))\\n# print('min: {}, max: {}, cut: {}'.format(LoG.min(),LoG.max(),mean_bg + thresh))\\n# print(LoG.min(),LoG.max(),filtered.min() + thresh)\\n \\n \\n # assume all value below max*threshold can not be maxima, so put all to zero\\n# filtered[filtered < thresh*filtered.max()] = 0.\\n \\n# assume all value below min*threshold can not be maxima, so put all to zero\\n# filtered[filtered < filtered.min() + thresh * np.abs(filtered.min())] = 0.\\n# filtered[filtered < mean_bg + thresh] = 0.\\n filtered[filtered < mean_bg + 6.*std_bg] = 0. #set pixels below the mean + 6x threshold to 0\\n \\n # find coordinates of local maxima\\n #print(int(0.5 * min_size))\\n max_idx_2d_small = peak_local_max(filtered, min_distance=0) #All bright pixels\\n max_idx_2d_large = peak_local_max(filtered, min_distance=1) #peaks with min size of 1 pixel\\n \\n x_list_small, y_list_small = max_idx_2d_small[:, 1], max_idx_2d_small[:, 0]\\n x_list_large, y_list_large = max_idx_2d_large[:, 1], max_idx_2d_large[:, 0]\\n \\n im_center_x, im_center_y = len(image) / 2., len(image) / 2. #center of image\\n \\n if (center_x == None) & (center_y == None):\\n new_center_x, new_center_y = im_center_x,im_center_y\\n else:\\n new_center_x, new_center_y = center_x,center_y #new \\\"center\\\" = location of lens galaxy\\n \\n \\n #distance of each detected peak from center\\n R_small = np.sqrt((x_list_small - new_center_x)**2 + (y_list_small - new_center_y)**2) \\n R_large = np.sqrt((x_list_large - new_center_x)**2 + (y_list_large - new_center_y)**2)\\n \\n #Contaminant light is only bright pixels further from center than lens_rad\\n x_sats, y_sats = x_list_small[R_small > lens_rad], y_list_small[R_small > lens_rad]\\n \\n if many_sources:\\n x_lens, y_lens = deepcopy(x_list_small), deepcopy(y_list_small)\\n else:\\n x_lens, y_lens = deepcopy(x_list_large), deepcopy(y_list_large)\\n \\n# x_lens, y_lens = x_list_small[R_small <= lens_rad], y_list_small[R_small <= lens_rad]\\n \\n if (len(x_lens) == 0) & (len(y_lens) == 0):\\n x_lens = [0,15]\\n y_lens = [0,15]\\n \\n sources = QTable([x_lens, y_lens],names={'x_local_peak','y_local_peak'}) #make table of all detected objects\\n# print(x_list_large)\\n# print(y_list_large)\\n# print(sources)\\n \\n # show maxima on image for debug\\n \\n if show_locations:\\n# fig = plt.figure(figsize=(4, 4))\\n #plt.imshow(image, origin='lower', cmap=cmap_flux, norm=LogNorm(1e-2))\\n \\n f, axes = plt.subplots(1, 5, figsize=(20,5), sharex=False, sharey=False)\\n# plt.figure(figsize = (8,8))\\n# plt.subplot(1,2,1)\\n \\n axes[0].imshow(image, origin='lower', norm=SymLogNorm(5))\\n axes[0].set_title('Image')\\n axes[0].set_axis_off()\\n \\n \\n axes[1].imshow(LoG, origin='lower', norm=SymLogNorm(5))\\n axes[1].set_title('LoG Filtered Image')\\n axes[1].set_axis_off()\\n\\n# plt.subplot(1,2,2)\\n axes[2].imshow(filtered, origin='lower', norm=SymLogNorm(5))\\n axes[2].set_title('Final Filtered Image')\\n axes[2].set_axis_off()\\n \\n axes[3].imshow(image, origin='lower', norm=SymLogNorm(5))\\n for i in range(len(x_lens)):\\n axes[3].scatter([x_lens[i]], [y_lens[i]], c='red', s=60, marker='+')\\n \\n for i in range(len(x_list_large)):\\n axes[3].scatter([x_list_large[i]], [y_list_large[i]], c='black', s=100, marker='x')\\n axes[3].set_title('Detected Objects')\\n axes[3].set_axis_off()\\n \\n axes[4].imshow(image, origin='lower', norm=SymLogNorm(5))\\n \\n for i in range(len(x_sats)):\\n axes[4].scatter([x_sats[i]], [y_sats[i]], c='red', s=60, marker='+')\\n \\n# plt.annotate(i+1, (x_list[i], y_list[i]), color='black')\\n \\n# for i in range(len(x_mask)):\\n# plt.scatter([x_mask[i]], [y_mask[i]], c='red', s=100, marker='*')\\n# plt.annotate(i+1, (x_mask[i], y_mask[i]), color='red')\\n axes[4].scatter(new_center_x, new_center_y,c='red', s=100, marker='*')\\n \\n draw_lens_circle = Circle((new_center_x, new_center_y),lens_rad ,fill=False)\\n draw_gal_circle = Circle((new_center_x, new_center_y),gal_rad, fill = False)\\n# plt.gcf().gca().add_artist(draw_lens_circle)\\n# plt.gcf().gca().add_artist(draw_gal_circle)\\n axes[4].add_patch(draw_lens_circle)\\n# axes[4].add_patch(draw_gal_circle)\\n \\n axes[4].set_title('Pixels to Mask: \\\\n r = {:.3f}'.format(lens_rad_arcsec))\\n axes[4].text(1, 1, \\\"detected components\\\", color='red')\\n axes[4].set_axis_off()\\n \\n if title != None:\\n f.suptitle(title, fontsize = 15)\\n# plt.show()\\n \\n \\n return (x_sats, y_sats), (new_center_x, new_center_y), sources\",\n \"def drawCars(self):\\n for car in self.cars:\\n if car.aliveForFrames >= ALIVE_THRESHOLD:\\n msg = 'ID: {0:>2}\\\\n'.format(car.id)\\n msg += 'conf:{0:.2f}%\\\\n'.format(car.displayedConfidence * 100)\\n msg += 'active: {} frames'.format(car.aliveForFrames - car.aliveForFrames % 5)\\n self.car_detector.draw_boxes(self.image, tuple(car.box), msg)\\n\\n return self.image\",\n \"def process_tir_image(ds, data_res, t_thresh=-50, min_mcs_size=5000):\\n ctt = (ds['tb']).squeeze()-273.15\\n min_pix_nb = min_mcs_size / data_res**2\\n\\n max_pix_nb = 300000 / data_res**2 # this is to capture satellite artefacts that come in large contiguous stripes.\\n labels, goodinds = mcs_define(ctt.values, t_thresh, minmax_area=[min_pix_nb, max_pix_nb]) # 7.7x7.7km = 64km2 per pix in gridsat? 83 pix is 5000km2\\n dic = dictionary()\\n #plt.figure()\\n #plt.pcolormesh(labels)\\n #plt.colorbar()\\n #plt.show()\\n for g in goodinds:\\n\\n if g==0:\\n continue\\n\\n pos = np.where(labels==g)\\n npos = np.where(labels!=g)\\n datestr = str(int(ctt['time.year'].values))+'-'+str(int(ctt['time.month'].values)).zfill(2)+'-'+str(int(ctt['time.day'].values)).zfill(2)+'_'+\\\\\\n str(int(ctt['time.hour'].values)).zfill(2)+':'+str(int(ctt['time.minute'].values)).zfill(2)\\n \\n dic['date'].append(datestr)\\n dic['month'].append(int(ctt['time.month']))\\n dic['hour'].append(int(ctt['time.hour']))\\n dic['year'].append(int(ctt['time.year']))\\n dic['day'].append(int(ctt['time.day']))\\n dic['minute'].append(int(ctt['time.minute']))\\n\\n storm = ctt.copy()\\n storm.values[npos] = np.nan\\n tmin_pos = np.nanargmin(storm.values)\\n tpos_2d = np.unravel_index(tmin_pos, storm.shape)\\n \\n latmin = np.nanmin(ctt.lat.values[pos[0]])\\n latmax = np.nanmax(ctt.lat.values[pos[0]])\\n lonmin = np.nanmin(ctt.lon.values[pos[1]])\\n lonmax = np.nanmax(ctt.lon.values[pos[1]])\\n dic['area'].append(np.sum(np.isfinite(storm.values))*data_res**2)\\n dic['70area'].append(np.sum(storm.values<=-70)*data_res**2)\\n dic['minlon'].append(lonmin)\\n dic['minlat'].append(latmin)\\n dic['maxlon'].append(lonmax)\\n dic['maxlat'].append(latmax)\\n dic['clon'].append(lonmin + (lonmax - lonmin)/2)\\n dic['clat'].append(latmin + (latmax - latmin)/2)\\n dic['tmin'].append(np.nanmin(storm))\\n dic['tminlat'].append(float(ctt.lat[tpos_2d[0]].values))\\n dic['tminlon'].append(float(ctt.lon[tpos_2d[1]].values))\\n dic['tmean'].append(float(np.nanmean(storm)))\\n dic['tp1'].append(float(np.nanpercentile(storm, 1)))\\n dic['tp99'].append(float(np.nanpercentile(storm, 99)))\\n dic['stormID'].append(datestr + '_' + str(g))\\n dic['cloudMask'].append(labels==g)\\n dic['tir'].append(storm.values)\\n\\n # for k in dic.keys():\\n # print(k, len(dic[k]))\\n return dic\",\n \"def detect_crashes(images, carpoints, centered):\\n images = images.copy()\\n updated_car_points = [[] for i in range(len(centered))]\\n crash_frames = []\\n color = (0, 0, 255)\\n\\n for i in range(len(centered)):\\n curr_points = centered[i]\\n print('i value: ' + str(i))\\n if i in [0, 1]:\\n for j in range(len(curr_points)):\\n curr_x, curr_y = curr_points[j]\\n updated_car_points[i].append((curr_x, curr_y, 0))\\n else:\\n for j in range(len(curr_points)):\\n ''' Include case where new car point is not close to any of the other car points. Like taking care of\\n adding new points. '''\\n curr_x, curr_y = curr_points[j]\\n min_ind, min_dist = find_closest((curr_x, curr_y), updated_car_points[i - 2])\\n print('Min Dist, Min Index: %f, %i' % (min_dist, min_ind))\\n prev_x, prev_y, old_mag = updated_car_points[i - 2][min_ind]\\n\\n # Now compare with prev\\n\\n new_mag = math.sqrt((curr_x - prev_x) ** 2 + (curr_y - prev_y) ** 2)\\n print('Old: %f -- New: %f' % (old_mag, new_mag))\\n\\n '''curr_image = images[i]\\n x1, y1, x2, y2 = car_points[i][j]\\n text = \\\"{:.4f}; {:.4f}; {:.4f}\\\".format(old_mag, new_mag, min_dist)\\n cv2.putText(curr_image, text, (x1, y1 - 20), cv2.FONT_HERSHEY_SIMPLEX,\\n 0.41, color, 1)\\n images[i] = curr_image'''\\n\\n if old_mag != 0 and abs(old_mag - new_mag) > 75:\\n crash_frames.append(i)\\n curr_image = images[i]\\n width = curr_image.shape[1]\\n height = curr_image.shape[0]\\n x1, y1, x2, y2 = carpoints[i][j]\\n cv2.rectangle(curr_image, (x1, y1), (x2, y2), color, 2)\\n images[i] = curr_image\\n # print(\\\"CRASH at frame %d\\\" % (i))\\n\\n updated_car_points[i][min_ind] = (curr_x, curr_y, new_mag)\\n\\n if i == len(centered) - 1:\\n continue\\n\\n updated_car_points[i + 1] = [0 for k in range(max(len(updated_car_points[i]), len(centered[i + 1])))]\\n return crash_frames, images\",\n \"def show_performance(model):\\n val_image_ids_ = [i for i in val_image_ids]\\n np.random.shuffle(val_image_ids_)\\n\\n df_val = area_filter(val_image_ids_, val_coco)\\n image_id = df_val['image_id'].iloc[0]\\n annotation_ids = df_val[df_val['image_id'] == image_id]['annotation_id'].tolist()\\n\\n image_json = val_coco.loadImgs([image_id])[0]\\n raw_image = cv2.imread(os.path.join(\\\"{}/{}/{}\\\".format(data_dir, val_type, image_json['file_name'])))\\n height, width, _ = raw_image.shape\\n\\n # decode the mask, using annotation id created at the group by above\\n binary_mask = process_mask(val_coco, annotation_ids, width, height)\\n\\n # preprocess input and mask (resize to 128, scale to [0, 1))\\n input_image, input_mask = preprocess(raw_image, binary_mask)\\n\\n input_mask = np.expand_dims(input_mask, axis=-1)\\n predicted_mask = model.predict(np.array([input_image]))[0]\\n\\n plt.figure(figsize=(20, 20))\\n\\n title = ['Input Image', 'True Mask', 'Predicted Mask']\\n display_list = [input_image[:, :, ::-1], input_mask, predicted_mask]\\n for i in range(len(display_list)):\\n plt.subplot(1, len(display_list), i+1)\\n plt.title(title[i])\\n plt.imshow(array_to_img(display_list[i]))\\n plt.axis('off')\\n plt.show()\",\n \"def pipeline(image):\\n # undistort image\\n undistorted_image = undistort_image(image)\\n superimposed_image = find_lanes(undistorted_image)\\n labels = find_vehicles(undistorted_image)\\n\\n draw_img = draw_labeled_bboxes(superimposed_image, labels)\\n\\n \\n return draw_img\",\n \"def detect(image):\\n markers = []\\n # Stage 1: Detect edges in image\\n gray = cvtColor(image, COLOR_BGR2GRAY)\\n clahe = createCLAHE(clipLimit=1, tileGridSize=(6, 6))\\n cl1 = clahe.apply(gray)\\n _, thresh = threshold(cl1, 60, 255, THRESH_OTSU)\\n blurred = GaussianBlur(thresh, (5, 5), 0)\\n edges = Canny(blurred, 75, 100)\\n\\n # Stage 2: Find contours\\n contours = findContours(edges, RETR_TREE, CHAIN_APPROX_SIMPLE)\\n contours = sorted(contours, key=contourArea, reverse=True)[:]\\n\\n for contour in contours:\\n # Stage 3: Shape check\\n perimeter = arcLength(contour, True)\\n approx = approxPolyDP(contour, 0.01*perimeter, True)\\n\\n if len(approx) == QUADRILATERAL_POINTS:\\n area = contourArea(approx)\\n # (x, y, w, h) = boundingRect(approx)\\n # ar = float(h) / float(w)\\n # if area > 100 and ar >= 0.8 and ar <= 1.2:\\n if area > 700:\\n # putText(image, str(area), (10, 30), FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255), 2)\\n drawContours(image, [contour], -1, (0, 255, 0), 1)\\n\\n # Stage 4: Perspective warping\\n topdown_quad = get_topdown_quad(thresh, approx.reshape(4, 2))\\n\\n # Stage 5: Border check\\n if topdown_quad[int((topdown_quad.shape[0]/100.0)*5), int((topdown_quad.shape[1]/100.0)*5)] > BLACK_THRESHOLD:\\n continue\\n\\n # Stage 6: Get marker pattern\\n marker_pattern = None\\n\\n try:\\n marker_pattern = get_marker_pattern(topdown_quad, THRESHOLD_PERCENT)\\n except:\\n continue\\n\\n if not marker_pattern:\\n continue\\n\\n # Stage 7: Match marker pattern\\n marker_found, marker_rotation, marker_name = match_marker_pattern(marker_pattern)\\n\\n if marker_found:\\n markers.append([marker_name, marker_rotation])\\n\\n return markers, image\",\n \"def test():\\n import os\\n import ClearMap.ImageProcessing.SpotDetection as self\\n reload(self)\\n import ClearMap.IO as io \\n import ClearMap.Settings as settings\\n \\n basedir = settings.ClearMapPath;\\n #fn = '/home/ckirst/Science/Projects/BrainActivityMap/Data/iDISCO_2015_06/Adult cfos C row 20HF 150524.ims';\\n fn = os.path.join(basedir, 'Test/Data/Synthetic/label_iDISCO_\\\\d{3}.tif');\\n fn = os.path.join(basedir, 'Test/Data/OME/16-17-27_0_8X-s3-20HF_UltraII_C00_xyz-Table Z\\\\d{4}.ome.tif');\\n #fn = '/run/media/ckirst/ChristophsBackuk4TB/iDISCO_2015_06/Adult cfos C row 20HF 150524.ims';\\n #fn = '/home/nicolas/Windows/Nico/cfosRegistrations/Adult cfos C row 20HF 150524 - Copy.ims';\\n #fn = '/home/ckirst/Science/Projects/BrainActivityMap/iDISCO_2015_04/test for spots added spot.ims'\\n\\n img = io.readData(fn);\\n #img = dataset[0:500,0:500,1000:1008];\\n #img = dataset[600:1000,1600:1800,800:830];\\n #img = dataset[500:1500,500:1500,800:809]; \\n img = img.astype('int16');\\n \\n #m = sys.modules['iDISCO.ImageProcessing.SpotDetection']\\n #c = self.detectCells(img);\\n \\n c = self.detectCells(img, dogSize = None, cellShapeThreshold = 1, cellShapeFile = '/home/ckirst/Science/Projects/BrainActivityMap/Analysis/iDISCO/Test/Data/CellShape/cellshape_\\\\d{3}.tif');\\n \\n print ('done, found %d cells !' % c[0].shape[0])\\n\\n\\n #test intensities:\\n import numpy;\\n x = numpy.random.rand(30,30,10);\\n centers = numpy.array([[0,0,0], [29,29,9]]);\\n i = self.findIntensity(x, centers, boxSize = (1,1,1));\\n print (i)\",\n \"def detect_cars_multi_area(img,\\n clf,\\n xy_window=(64, 64),\\n stride=None,\\n y_start_stops=None,\\n image_size_factors=[1],\\n x_padding=None,\\n heatmap=False,\\n n_jobs=1):\\n\\n if n_jobs < 0:\\n n_jobs = multiprocessing.cpu_count()\\n\\n if stride is None:\\n stride = np.repeat([[xy_window[0], xy_window[1]]], len(image_size_factors), axis=0)\\n\\n if y_start_stops is None:\\n y_start_stops = np.repeat([[0, img.shape[0] - 1]], len(image_size_factors), axis=0)\\n\\n if x_padding is None:\\n x_padding = np.repeat([0], len(image_size_factors), axis=0)\\n\\n # use joblib to run processing in parallel\\n result = Parallel(n_jobs=n_jobs)(\\n delayed(detect_cars)(\\n img,\\n clf,\\n xy_window,\\n cur_stride,\\n cur_sizes_factors,\\n cur_y_start_stop,\\n cur_x_padding)\\n for cur_stride, cur_sizes_factors, cur_y_start_stop, cur_x_padding in\\n zip(stride, image_size_factors, y_start_stops, x_padding))\\n\\n bounding_boxes, des_func = zip(*result)\\n bounding_boxes = np.vstack(bounding_boxes)\\n\\n des_func = np.concatenate(des_func)\\n\\n if heatmap:\\n heat = np.zeros(img.shape[:2], dtype=np.float32)\\n for bb, df in zip(bounding_boxes, des_func):\\n heat[bb[1]:bb[3], bb[0]:bb[2]] += df\\n\\n return heat\\n\\n return bounding_boxes\",\n \"def vis_detections(im, class_name, dets, thresh=0.8):\\n\\n dict = {'HolderA': 'Holder', 'WheelA': 'WheelA', 'WheelB': 'WheelB', 'BrakeA': 'Brake', 'SpringA': 'Spring',\\n 'BuckleA': 'BuckleA', 'BuckleB': 'BuckleB', 'TubeA': 'Tube', 'NutA': 'NutA', 'ScrewA': 'ScrewA',\\n 'NutB': 'NutB', 'ScrewB': 'ScrewB',\\n 'WireA': 'Wire', 'PlateA': 'PlateA', 'PlateB': 'PlateB', 'PlateD': 'PlateC', 'PlateE': 'PlateD',\\n 'BoltA': 'Bolt', 'LoopB': 'Loop', 'JointA': 'JointA', 'JointB': 'JointB', 'FixatorA': 'Fixator',\\n 'BearingA': 'Bearing', 'PlugA': 'Plug'}\\n\\n for i in range(np.minimum(10, dets.shape[0])):\\n bbox = tuple(int(np.round(x)) for x in dets[i, :4])\\n score = dets[i, -1]\\n if score > thresh:\\n # Color site: http://www.wahart.com.hk/rgb.htm\\n if class_name == 'HolderA':\\n color = (255, 255, 0) # Cyan\\n elif class_name == 'WheelA':\\n color = (212, 255, 127) # Aquamarina\\n elif class_name == 'WheelB':\\n color = (99, 99, 238) # IndianRed2\\n elif class_name == 'BrakeA':\\n color = (99, 99, 238) # IndianRed2\\n elif class_name == 'SpringA':\\n color = (180, 130, 70) # SteelBlue\\n elif class_name == 'BuckleA':\\n color = (205, 0, 0) # MediumBlue\\n elif class_name == 'BuckleB':\\n color = (170, 205, 102) # MediumAquamarine\\n elif class_name == 'BuckleC':\\n color = (0, 252, 124) # LawnGreen\\n elif class_name == 'BuckleD':\\n color = (50, 205, 50) # LimeGreen\\n elif class_name == 'TubeA':\\n color = (147, 112, 219) # PaleVioletRed\\n elif class_name == 'ScrewA':\\n color = (240, 32, 160) # Purple\\n elif class_name == 'ScrewB':\\n color = (0, 165, 255) # Orange1\\n elif class_name == 'ScrewC':\\n color = (48, 48, 255) # Firebrick1\\n elif class_name == 'NutA':\\n color = (0, 255, 255) # Yellow\\n elif class_name == 'NutB':\\n color = (255, 144, 30) # DodgerBlue\\n elif class_name == 'NutC':\\n color = (180, 238, 180) # DarkSeaGreen2\\n elif class_name == 'WireA':\\n color = (255, 255, 255) # White\\n elif class_name == 'PlateA':\\n color = (0, 69, 255) # OrangeRed\\n elif class_name == 'PlateB':\\n color = (102, 205, 0) # SpringGreen3\\n elif class_name == 'PlateD':\\n color = (0, 255, 0) # Green\\n elif class_name == 'PlateE':\\n color = (0, 140, 250) # DarkOrange\\n elif class_name == 'BoltA':\\n color = (255, 255, 0) # Cyan\\n elif class_name == 'LoopB':\\n color = (180, 105, 255) # HotPink\\n elif class_name == 'JointA':\\n color = (105, 140, 255) # Salmon1\\n elif class_name == 'JointB':\\n color = (255, 0, 255) # Magenta3\\n elif class_name == 'FixatorA':\\n color = (0, 205, 102) # Chartreuse3\\n elif class_name == 'BearingA':\\n color = (185, 218, 255) # PeachPuff\\n elif class_name == 'PlugA':\\n color = (193, 193, 255) # RosyBrown1\\n else:\\n color = (139, 0, 139) # DarkMagenta\\n cv2.rectangle(im, bbox[0:2], bbox[2:4], color, 2)\\n # cv2.putText(im, '%s: %.3f' % (class_name, score), (bbox[0], bbox[1] + 15), cv2.FONT_HERSHEY_COMPLEX,\\n # 0.5, color, thickness=1)\\n cv2.putText(im, '%s: %.3f' % (dict[class_name], score), (bbox[0], bbox[1] + 15), cv2.FONT_HERSHEY_COMPLEX,\\n 0.5, color, thickness=1)\\n return im\",\n \"def analyze(self):\\n try:\\n self.options[self.multi_image][1]()\\n except:\\n raise Exception(\\\"Multi Image Option not defined.\\\")\\n\\n self.image = self.data / self.exposure\\n\\n background = self.min_val = np.min(self.image[:511,:511])\\n self.max_val = np.max(self.image[:511,:511])\\n # stats.mode returns modal value = value that occours most often\\n #background = stats.mode(im[:50,:50].ravel())[0][0]\\n\\n intensity = self.image.sum() - background*np.size(self.image)\\n\\n #results.append((self.index, intensity, background))\\n self.index =+ 1\",\n \"def predict_crashes_with_tracking(images, car_points, centered, depths, depth_differential=15, distance_differential=50,\\n look_ahead=10):\\n images = images.copy()\\n lh = look_ahead\\n\\n # plot 5 frames forward\\n # check size of the cars to indicate depth\\n\\n color = (0, 255, 255)\\n wh = [(x[2] - x[0], x[3] - x[1]) for x in car_points[0]]\\n for i in range(len(centered)):\\n look_ahead = [[(0, 0) for i in range(len(centered[i]))] for j in range(lh + 1)]\\n\\n if i == 0:\\n continue\\n\\n dxs = [0 for i in range(len(centered[i]))]\\n dys = [0 for i in range(len(centered[i]))]\\n\\n for j in range(len(centered[i])):\\n dxs[j] = centered[i][j][0] - centered[i - 1][j][0]\\n dys[j] = centered[i][j][1] - centered[i - 1][j][1]\\n\\n look_ahead[0] = centered[i]\\n for j in range(1, lh + 1):\\n for k in range(len(centered[i])):\\n xc = look_ahead[j - 1][k][0] + dxs[k]\\n yc = look_ahead[j - 1][k][1] + dys[k]\\n look_ahead[j][k] = (xc, yc)\\n\\n for j in range(1, lh + 1):\\n for k in range(0, len(look_ahead[j]) - 1):\\n for l in range(k + 1, len(look_ahead[j])):\\n x1, y1 = look_ahead[j][k]\\n x2, y2 = look_ahead[j][l]\\n dist = math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2)\\n if dist < (images[0].shape[0] / 18) * ((distance_differential + 50) / 100) and abs(\\n math.sqrt(depths[min(i + lh, len(car_points) - 1)][k]) - math.sqrt(\\n depths[min(i + lh, len(car_points) - 1)][\\n l])) < depth_differential / 100: # max(depths[min(i+lh, len(car_points)-1)][\\n # k]/depths[min(i+lh, len(car_points)-1)][l], depths[min(i+lh, len(car_points)-1)][l]/depths[\\n # min(i+lh, len(car_points)-1)][k]) - 1 < 0.1:#9.5:#0.30: #this is the pixel number which I\\n # use for the threshold\\n curr_image = images[i]\\n a1, a2, b1, b2 = car_points[i][k]\\n c1, c2, d1, d2 = car_points[i][l]\\n cv2.rectangle(curr_image, (a1, a2), (b1, b2), (0, 0, 255), 5)\\n cv2.rectangle(curr_image, (c1, c2), (d1, d2), (0, 0, 255), 5)\\n images[i] = curr_image\\n return images\",\n \"def updateFrame(self, image):\\n self.currentFrame += 1\\n self.image = image.copy()\\n\\n detected = self.car_detector.detectCars(image)\\n picks = self.car_detector.non_max_suppression_fast(detected, 0.2)\\n\\n self.logger.debug(\\\" CURRENT CAR LIST\\\\n\\\")\\n self.printCars()\\n\\n self.logger.debug(\\\"\\\\nNew Picks {0!s}\\\\n\\\".format(picks))\\n\\n self.addCars(picks)\\n self.removeOldCars()\\n if len(self.cars) == 0:\\n self.logger.debug(\\\"EMPTY.... HELP\\\")\\n # self.printCars()\\n return self.drawCars()\",\n \"def get_images_and_labels_nc():\\n refs = get_ref_df()\\n images = {}\\n for _, data in refs.iterrows():\\n if data['ProbeFileName'] in images:\\n continue\\n im = data['ProbeFileName']\\n images[im] = 1 if data['IsTarget'] == 'Y' else 0\\n return images\",\n \"def detectSpots(img, detectSpotsParameter = None, correctIlluminationParameter = None, removeBackgroundParameter = None,\\n filterDoGParameter = None, findExtendedMaximaParameter = None, detectCellShapeParameter = None,\\n verbose = False, out = sys.stdout, **parameter):\\n\\n timer = Timer();\\n \\n # normalize data -> to check\\n #img = img.astype('float');\\n #dmax = 0.075 * 65535;\\n #ids = img > dmax;\\n #img[ids] = dmax;\\n #img /= dmax; \\n #out.write(timer.elapsedTime(head = 'Normalization'));\\n #img = dataset[600:1000,1600:1800,800:830];\\n #img = dataset[600:1000,:,800:830];\\n \\n # correct illumination\\n correctIlluminationParameter = getParameter(detectSpotsParameter, \\\"correctIlluminationParameter\\\", correctIlluminationParameter);\\n img1 = img.copy();\\n img1 = correctIllumination(img1, correctIlluminationParameter = correctIlluminationParameter, verbose = verbose, out = out, **parameter) \\n\\n # background subtraction in each slice\\n #img2 = img.copy();\\n removeBackgroundParameter = getParameter(detectSpotsParameter, \\\"removeBackgroundParameter\\\", removeBackgroundParameter);\\n img2 = removeBackground(img1, removeBackgroundParameter = removeBackgroundParameter, verbose = verbose, out = out, **parameter) \\n \\n # mask\\n #timer.reset();\\n #if mask == None: #explicit mask\\n # mask = img > 0.01;\\n # mask = binary_opening(mask, self.structureELement('Disk', (3,3,3)));\\n #img[img < 0.01] = 0; # masking in place # extended maxima\\n #out.write(timer.elapsedTime(head = 'Mask')); \\n \\n #DoG filter\\n filterDoGParameter = getParameter(detectSpotsParameter, \\\"filterDoGParameter\\\", filterDoGParameter);\\n dogSize = getParameter(filterDoGParameter, \\\"size\\\", None);\\n #img3 = img2.copy(); \\n img3 = filterDoG(img2, filterDoGParameter = filterDoGParameter, verbose = verbose, out = out, **parameter);\\n \\n # normalize \\n # imax = img.max();\\n # if imax == 0:\\n # imax = 1;\\n # img /= imax;\\n \\n # extended maxima\\n findExtendedMaximaParameter = getParameter(detectSpotsParameter, \\\"findExtendedMaximaParameter\\\", findExtendedMaximaParameter);\\n hMax = getParameter(findExtendedMaximaParameter, \\\"hMax\\\", None);\\n imgmax = findExtendedMaxima(img3, findExtendedMaximaParameter = findExtendedMaximaParameter, verbose = verbose, out = out, **parameter);\\n \\n #center of maxima\\n if not hMax is None:\\n centers = findCenterOfMaxima(img, imgmax, verbose = verbose, out = out, **parameter);\\n else:\\n centers = findPixelCoordinates(imgmax, verbose = verbose, out = out, **parameter);\\n \\n #cell size detection\\n detectCellShapeParameter = getParameter(detectSpotsParameter, \\\"detectCellShapeParameter\\\", detectCellShapeParameter);\\n cellShapeThreshold = getParameter(detectCellShapeParameter, \\\"threshold\\\", None);\\n if not cellShapeThreshold is None:\\n \\n # cell shape via watershed\\n imgshape = detectCellShape(img2, centers, detectCellShapeParameter = detectCellShapeParameter, verbose = verbose, out = out, **parameter);\\n \\n #size of cells \\n csize = findCellSize(imgshape, maxLabel = centers.shape[0], out = out, **parameter);\\n \\n #intensity of cells\\n cintensity = findCellIntensity(img, imgshape, maxLabel = centers.shape[0], verbose = verbose, out = out, **parameter);\\n\\n #intensity of cells in background image\\n cintensity2 = findCellIntensity(img2, imgshape, maxLabel = centers.shape[0], verbose = verbose, out = out, **parameter);\\n \\n #intensity of cells in dog filtered image\\n if dogSize is None:\\n cintensity3 = cintensity2;\\n else:\\n cintensity3 = findCellIntensity(img3, imgshape, maxLabel = centers.shape[0], verbose = verbose, out = out, **parameter);\\n \\n if verbose:\\n out.write(timer.elapsedTime(head = 'Spot Detection') + '\\\\n');\\n \\n #remove cell;s of size 0\\n idz = csize > 0;\\n \\n return ( centers[idz], numpy.vstack((cintensity[idz], cintensity3[idz], cintensity2[idz], csize[idz])).transpose()); \\n \\n \\n else:\\n #intensity of cells\\n cintensity = findIntensity(img, centers, verbose = verbose, out = out, **parameter);\\n\\n #intensity of cells in background image\\n cintensity2 = findIntensity(img2, centers, verbose = verbose, out = out, **parameter);\\n \\n #intensity of cells in dog filtered image\\n if dogSize is None:\\n cintensity3 = cintensity2;\\n else:\\n cintensity3 = findIntensity(img3, centers, verbose = verbose, out = out, **parameter);\\n\\n if verbose:\\n out.write(timer.elapsedTime(head = 'Spot Detection') + '\\\\n');\\n \\n return ( centers, numpy.vstack((cintensity, cintensity3, cintensity2)).transpose());\",\n \"def draw_info(self, img, age_threshold=8):\\n self.n_vehicles = 0\\n for detection in self.detections:\\n if len(detection.last_boxes) > age_threshold:\\n self.n_vehicles += 1\\n img = detection.draw(img, thick=2, color=(255, 50, 0))\\n\\n cv2.putText(img, 'Vehicles in sight: %s' % self.n_vehicles, (50, 150), cv2.FONT_HERSHEY_SIMPLEX, 1,\\n (255, 255, 255), 2)\\n\\n return img\",\n \"def traffic_light_detection(img_in, radii_range):\\n\\n thresh1 = 110\\n thresh2 = 60\\n cannyEdges = cv2.Canny(img_in, thresh1, thresh2)\\n\\n circles = cv2.HoughCircles(cannyEdges,cv2.HOUGH_GRADIENT, 1, 20, param1=50,param2=30,minRadius=0,maxRadius=0)\\n circles_selected = select_three(circles)\\n\\n for circle in circles_selected:\\n column = circle[0]\\n row = circle[1]\\n coordinates = (column, row)\\n state_pixels = img_in[int(row), int(column), :]\\n # print(state_pixels)\\n if state_pixels[1] == 255 and state_pixels[2] != 255 :\\n state = 'green'\\n if state_pixels[1] != 255 and state_pixels[2] == 255 :\\n state = 'red'\\n if state_pixels[1] == 255 and state_pixels[2] == 255 :\\n state = 'yellow'\\n\\n column_2 = circles_selected[1][0]\\n row_2 = circles_selected[1][1]\\n coordinates_2 = (column_2, row_2)\\n state_pixels_2 = img_in[int(row_2), int(column_2), :]\\n\\n return coordinates_2, state\\n raise NotImplementedError\",\n \"def find_components_old(image,deltaPix,lens_rad_arcsec = 5.0,lens_rad_ratio = None, gal_rad_ratio = 0.1,min_size_arcsec=0.3,thresh=0.4, show_locations=False):\\n\\n # convert minimum component size in pixel units\\n min_size = int(min_size_arcsec / deltaPix)\\n \\n #Convert lens radius and central galaxy radius to pixels\\n if lens_rad_ratio == None:\\n lens_rad = int(lens_rad_arcsec / deltaPix)\\n else: lens_rad = int(len(image) * lens_rad_ratio)\\n gal_rad = int(len(image) * gal_rad_ratio)\\n \\n # downscale source image to data resolution (for speed + easier for converting to data units)\\n #down = image_util.re_size(image, factor=supersampling_factor_source)\\n \\n # apply laplacian of gaussian (LoG) filter to enhance maxima\\n filtered = - gaussian_laplace(deepcopy(image), sigma = min_size, mode='constant', cval=0.)\\n \\n# print(filtered.min(),filtered.max(),filtered.min() + thresh * np.abs(filtered.min()))\\n \\n \\n # assume all value below max*threshold can not be maxima, so put all to zero\\n# filtered[filtered < thresh*filtered.max()] = 0.\\n \\n# assume all value below min*threshold can not be maxima, so put all to zero\\n filtered[filtered < filtered.min() + thresh * np.abs(filtered.min())] = 0.\\n \\n if show_locations:\\n plt.figure(figsize = (8,8))\\n plt.subplot(1,2,1)\\n plt.imshow(image, origin='lower', norm=SymLogNorm(5))\\n plt.title('Image')\\n\\n plt.subplot(1,2,2)\\n plt.imshow(filtered, origin='lower', norm=SymLogNorm(5))\\n plt.title('Filtered Image')\\n plt.show()\\n \\n # find coordinates of local maxima\\n #print(int(0.5 * min_size))\\n max_idx_2d_small = peak_local_max(filtered, min_distance=0)\\n max_idx_2d_large = peak_local_max(filtered, min_distance=1)\\n \\n x_list_small, y_list_small = max_idx_2d_small[:, 1], max_idx_2d_small[:, 0]\\n x_list_large, y_list_large = max_idx_2d_large[:, 1], max_idx_2d_large[:, 0]\\n \\n im_center_x, im_center_y = len(image) / 2., len(image) / 2.\\n \\n R = np.sqrt((x_list_large - im_center_x)**2 + (y_list_large - im_center_y)**2)\\n new_center_x, new_center_y = x_list_large[R < gal_rad], y_list_large[R < gal_rad]\\n \\n if (len(new_center_x) > 1) and (len(x_list_large[R == R.min()]) ==1 ): \\n new_center_x, new_center_y = x_list_large[R == R.min()], y_list_large[R == R.min()]\\n elif (len(new_center_x) > 1) and (len(x_list_large[R == R.min()]) > 1 ): \\n new_center_x, new_center_y = im_center_x, im_center_y\\n elif len(new_center_x) == 0: \\n new_center_x, new_center_y = im_center_x, im_center_y\\n \\n \\n R_small = np.sqrt((x_list_small - new_center_x)**2 + (y_list_small - new_center_y)**2)\\n R_large = np.sqrt((x_list_large - new_center_x)**2 + (y_list_large - new_center_y)**2)\\n \\n x_sats, y_sats = x_list_small[R_small > lens_rad], y_list_small[R_small > lens_rad]\\n \\n # show maxima on image for debug\\n if show_locations:\\n fig = plt.figure(figsize=(4, 4))\\n #plt.imshow(image, origin='lower', cmap=cmap_flux, norm=LogNorm(1e-2))\\n plt.imshow(image, origin='lower', norm=SymLogNorm(5))\\n \\n for i in range(len(x_sats)):\\n plt.scatter([x_sats[i]], [y_sats[i]], c='red', s=60, marker='+')\\n# plt.annotate(i+1, (x_list[i], y_list[i]), color='black')\\n \\n# for i in range(len(x_mask)):\\n# plt.scatter([x_mask[i]], [y_mask[i]], c='red', s=100, marker='*')\\n# plt.annotate(i+1, (x_mask[i], y_mask[i]), color='red')\\n plt.scatter(new_center_x, new_center_y,c='red', s=100, marker='*')\\n \\n draw_lens_circle = Circle((new_center_x, new_center_y),lens_rad ,fill=False)\\n draw_gal_circle = Circle((new_center_x, new_center_y),gal_rad, fill = False)\\n plt.gcf().gca().add_artist(draw_lens_circle)\\n plt.gcf().gca().add_artist(draw_gal_circle)\\n plt.title('Detected Components')\\n plt.text(1, 1, \\\"detected components\\\", color='red')\\n fig.axes[0].get_xaxis().set_visible(True); fig.axes[0].get_yaxis().set_visible(True)\\n plt.show()\\n return (x_sats, y_sats), (new_center_x, new_center_y)\",\n \"def identify_image(im):\\n score_cures = np.mean(im[1025:1065, 1130:1180, 0])\\n score_ingredients = np.mean(im[1025:1065, 675:720, 0])\\n if score_cures < 177.5:\\n return 'cures'\\n if score_ingredients < 177.5:\\n return 'ingredients'\\n else:\\n return 'other'\",\n \"def config_hog_search(self, img):\\n img = img.astype(np.float32)/255 # scale image: (png: 0-1, jpg: 0-255)\\n img_crop = img[self.ys[0]:self.ys[1], :, :] # crop img to relative dimensions (ROI)\\n clr_trf = cvf.transform_colorspace(img_crop, self.color_space) # transform color space from RGB\\n clr_trf = cvu.scale_image(clr_trf, self.scale) # scale rather than selecting diffferent window sizes\\n ch1, ch2, ch3 = [clr_trf[:,:,ch] for ch in range(3)] # HOG operates on per channel basis\\n\\n # get hog features as multi-dimensional array per channel for the entire image\\n params={'orient':self.orient, 'pix_per_cell':self.pix_per_cell, 'cells_per_block':self.cells_per_block}\\n params.update({'vis':False, 'feature_vec':False})\\n hog1,hog2,hog3 = [cvf.get_hog_features(ch, **params) for ch in ([ch1,ch2,ch3])]\\n # block configurations\\n self.nfeat_per_block = self.orient*self.cells_per_block**2\\n self.nblocks_per_window = (self.window //self.pix_per_cell) -1\\n # number_blocks: define number of hog cells across an image according to channel dimensions\\n # number_steps: define number of steps to occur across hog array to extract features\\n rows, cols = ch1.shape[:2]\\n number_blocks = lambda max_dim, pix_per_cell: (max_dim // pix_per_cell) -1\\n number_steps = lambda nblocks, nblocks_window, cells_step: (nblocks - nblocks_window)//cells_step\\n self.nxblocks, self.nyblocks = number_blocks(cols, self.pix_per_cell), number_blocks(rows, self.pix_per_cell)\\n nxsteps, nysteps = \\\\\\n [number_steps(it, self.nblocks_per_window, self.cells_per_step) for it in (self.nxblocks, self.nyblocks) ]\\n return clr_trf, (nxsteps, nysteps), (hog1,hog2,hog3)\",\n \"def vis_detections(color_image, depth_colormap, class_col, dets_col, thresh=0.5):\\n\\n for cls_ind, class_name in enumerate(class_col):\\n dets = dets_col[cls_ind]\\n\\n inds = np.where(dets[:, -1] >= thresh)[0]\\n if len(inds) == 0:\\n continue\\n\\n for i in inds:\\n bbox = [int(e) for e in dets[i, :4]]\\n score = dets[i, -1]\\n \\n cv2.rectangle(color_image, (bbox[0], bbox[1]),\\n (bbox[2], bbox[3]), (0, 0, 255), 3)\\n cv2.rectangle(depth_colormap, (bbox[0], bbox[1]),\\n (bbox[2], bbox[3]), (0, 0, 255), 3)\\n\\n font = cv2.FONT_HERSHEY_SIMPLEX\\n color_image = cv2.putText(color_image, '{:s} {:.3f}'.format(class_name, score),\\n (bbox[0], max(bbox[1] - 2, 1)), font, 0.5, (255, 255, 255), 2)\\n depth_colormap = cv2.putText(depth_colormap, '{:s} {:.3f}'.format(class_name, score),\\n (bbox[0], max(bbox[1] - 2, 1)), font, 0.5, (255, 255, 255), 2)\\n \\n # Stack both images horizontally\\n images = np.hstack((color_image, depth_colormap))\\n\\n # Show images\\n cv2.imshow('RealSense', images)\",\n \"def get_all_trends(self, verbose=False):\\n self.labels = []\\n inferred_lines = []\\n \\n # crop, resize, color quantize\\n self.crop_to_gridline()\\n self.crop_title()\\n self.set_size()\\n self.color_quantization()\\n \\n if verbose:\\n print(\\\"Original Image\\\")\\n display(self.orig_image)\\n print(\\\"Cropped and color quantized:\\\")\\n self.display()\\n \\n # separate colors into color pixel, images, and pixels that belong to it\\n img_and_pix = self.separate_colors()\\n colors, images, pixels = zip(*img_and_pix)\\n \\n if verbose:\\n print(\\\"LEN IMGS\\\", len(images), \\\"; SHOULD BE\\\", len(self.separate_colors()))\\n \\n for i, image in enumerate(images):\\n \\n # separate into x and y pixels\\n pix = pixels[i]\\n inferred_lines.append(img_and_pix[i])\\n x,y = zip(*np.array(pix))\\n \\n if verbose:\\n print('len(set(y))>20', len(set(y)))\\n print('len(set(x))>20', len(set(x)))\\n print('len(pix)<= {}; actual: {}'.format(self.background_threshold*np.prod(self.size), len(pix)))\\n display(image)\\n \\n # If pixels don't fluctuate more than pixel_diff_threshold, \\n # or size of color is greater than background_threshold..\\n if len(pix) <= self.background_threshold*np.prod(self.size):\\n if len(set(y))>self.pixel_diff_threshold \\\\\\n and len(set(x))>self.pixel_diff_threshold:\\n \\n # take difference between pixels\\n d = np.diff(pix, axis=0)\\n segdists = np.sqrt((d ** 2).sum(axis=1))\\n\\n # Check if one line alone in the bitmap spans min_grid_length.\\n # np.argmax(np.bincount(x)) -> keep x constant\\n pot_vert_line = [j for i, j in pix if i == np.argmax(np.bincount(x))]\\n pot_hor_line = [i for i, j in pix if j == np.argmax(np.bincount(y))]\\n \\n if verbose:\\n print(\\\"Passed 0.25 pixel threshold and straight line threshold\\\")\\n print(\\\"sum(segdists)/len(segdists)<7\\\", sum(segdists)/len(segdists))\\n print(\\\"Y LINE \\\", pot_vert_line[0], pot_vert_line[-1], self.height*self.min_grid_span)\\n print(\\\"X LINE\\\" , pot_hor_line[0], pot_hor_line[-1], self.width*self.min_grid_span)\\n\\n if sum(segdists)/len(segdists)<self.min_pixel_dist and \\\\\\n len(pot_vert_line)<(self.height*self.min_grid_span) and \\\\\\n len(pot_hor_line)<(self.width*self.min_grid_span):\\n\\n\\n# inferred_lines.append(img_and_pix[i])\\n # display(image)\\n\\n actual_y = self.height - np.array(pix)[:,1]\\n \\n df = pd.DataFrame(pix).groupby(0).agg(np.mean)\\n xvals = df.index\\n yvals = df.values.flatten().astype(int)\\n slope, intercept, rvalue, pvalue, stderr = scp.stats.linregress(xvals, yvals)\\n \\n change = slope*len(yvals)\\n if pvalue > 0.05 or abs(change) < 0.01:\\n self.add_label(\\\"NO TREND\\\")\\n else:\\n if slope < 0:\\n self.add_label(\\\"DECREASING\\\")\\n else:\\n self.add_label(\\\"INCREASING\\\") \\n\\n if verbose: \\n print(\\\"-\\\"*50)\\n if not self.labels:\\n self.add_label(\\\"NO TREND\\\")\\n return inferred_lines, self.labels\",\n \"def get_sun_features(image): # Use grayscale images, outside val: NaN\\r\\n ratio = sun_isoperimetric_ratio(image)\\r\\n sun_features = {\\\"sun_circularity_ratio\\\": ratio}\\r\\n return sun_features\",\n \"def visualize_in_scan(self, verbose=True):\\n images = self.scan.load_all_dicom_images(verbose)\\n \\n # Preload contours and sort them by z pos.\\n contours = sorted(self.contours, key=lambda c: c.image_z_position)\\n fnames = self.scan.sorted_dicom_file_names.split(',')\\n index_of_contour = [fnames.index(c.dicom_file_name) for c in contours]\\n\\n fig = plt.figure(figsize=(16,8))\\n\\n min_slice = min(index_of_contour)\\n max_slice = max(index_of_contour)\\n current_slice = min_slice\\n\\n ax_image = fig.add_axes([0.5,0.0,0.5,1.0])\\n img = ax_image.imshow(images[current_slice].pixel_array,\\n cmap=plt.cm.gray)\\n\\n contour_lines = []\\n # We draw all the contours initally and set the visibility\\n # to False. This works better than trying create and destroy\\n # plots every time we update the image.\\n for i,c in enumerate(contours):\\n arr = c.to_matrix()\\n cc, = ax_image.plot(arr[:,0], arr[:,1], '-r')\\n cc.set_visible(i==0) # Set the first contour visible.\\n contour_lines.append( cc )\\n ax_image.set_xlim(-0.5,511.5); ax_image.set_ylim(511.5,-0.5)\\n ax_image.axis('off')\\n \\n # Add the scan info table\\n ax_scan_info = fig.add_axes([0.1, 0.8, 0.3, 0.1])\\n ax_scan_info.set_axis_bgcolor('w')\\n scan_info_table = ax_scan_info.table(\\n cellText=[\\n ['Patient ID:', self.scan.patient_id],\\n ['Slice thickness:', '%.3f mm' % self.scan.slice_thickness],\\n ['Pixel spacing:', '%.3f mm'%self.scan.pixel_spacing]\\n ],\\n loc='center', cellLoc='left'\\n )\\n # Remove the cell borders.\\n # It Seems like there should be an easier way to do this...\\n for cell in scan_info_table.properties()['child_artists']:\\n cell.set_color('w')\\n\\n ax_scan_info.set_title('Scan Info')\\n ax_scan_info.set_xticks([])\\n ax_scan_info.set_yticks([])\\n\\n # Add annotations / characteristics table.\\n ax_annotation_info = fig.add_axes([0.1, 0.45, 0.3, 0.25])\\n ax_annotation_info.set_axis_bgcolor('w')\\n\\n # Create the rows to be displayed in the annotations table.\\n cell_text = []\\n for c in _all_characteristics_:\\n row = []\\n cname = c.capitalize()\\n if cname.startswith('Int'):\\n cname = 'InternalStructure'\\n\\n row.append(cname)\\n row.append(getattr(self,cname)())\\n row.append(getattr(self,c))\\n\\n cell_text.append(row)\\n\\n annotation_info_table = ax_annotation_info.table(\\n cellText=cell_text,\\n loc='center', cellLoc='left', colWidths=[0.45,0.45,0.1]\\n )\\n\\n # Again, remove cell borders.\\n for cell in annotation_info_table.properties()['child_artists']:\\n cell.set_color('w')\\n\\n ax_annotation_info.set_title('Annotation Info')\\n ax_annotation_info.set_xticks([])\\n ax_annotation_info.set_yticks([])\\n\\n # Add the checkbox for turning contours on / off.\\n ax_contour_checkbox = fig.add_axes([0.1, 0.25, 0.1, 0.15])\\n ax_contour_checkbox.set_axis_bgcolor('w')\\n contour_checkbox = CheckButtons(ax_contour_checkbox,\\n ('Show Contours',), (True,))\\n contour_checkbox.is_checked = True\\n\\n # Add the widgets.\\n ax_slice = fig.add_axes([0.1, 0.1, 0.3, 0.05])\\n ax_slice.set_axis_bgcolor('w')\\n txt = 'Z: %.3f'%float(images[current_slice].ImagePositionPatient[-1]) \\n sslice = Slider(ax_slice,\\n txt,\\n 0,\\n len(images)-1,\\n valinit=current_slice,\\n valfmt=u'Slice: %d')\\n\\n def update(_):\\n # Update image itself.\\n current_slice = int(sslice.val)\\n img.set_data(images[current_slice].pixel_array)\\n txt='Z: %.3f'%float(images[current_slice].ImagePositionPatient[-1])\\n sslice.label.set_text(txt)\\n if contour_checkbox.is_checked:\\n for i,c in enumerate(contour_lines):\\n flag = (index_of_contour[i] == current_slice)\\n flag = flag and (current_slice >= min_slice)\\n flag = flag and (current_slice <= max_slice)\\n # Set contour visible if flag is True.\\n c.set_visible(flag)\\n else:\\n for c in contour_lines: c.set_visible(False)\\n fig.canvas.draw_idle()\\n\\n def update_contours(_):\\n contour_checkbox.is_checked = not contour_checkbox.is_checked\\n update(None) # update requires an argument.\\n\\n sslice.on_changed(update)\\n contour_checkbox.on_clicked(update_contours)\\n\\n plt.show()\",\n \"def get_classification(self, image):\\n #TODO implement light color prediction\\n max_idx = 4\\n with self.detection_graph.as_default():\\n with tf.Session(graph=self.detection_graph) as sess:\\n # Definite input and output Tensors for detection_graph\\n image_tensor = self.detection_graph.get_tensor_by_name('image_tensor:0')\\n \\n # Each box represents a part of the image where a particular object was detected.\\n detection_boxes = self.detection_graph.get_tensor_by_name('detection_boxes:0')\\n \\n # Each score represent how level of confidence for each of the objects.\\n # Score is shown on the result image, together with the class label.\\n detection_scores = self.detection_graph.get_tensor_by_name('detection_scores:0')\\n detection_classes = self.detection_graph.get_tensor_by_name('detection_classes:0')\\n num_detections = self.detection_graph.get_tensor_by_name('num_detections:0')\\n # Expand dimensions since the model expects images to have shape: [1, None, None, 3]\\n image_np_expanded = np.expand_dims(image, axis=0)\\n # Actual detection.\\n (boxes, scores, classes, num) = sess.run(\\n [detection_boxes, detection_scores, detection_classes, num_detections],\\n feed_dict={image_tensor: image_np_expanded})\\n\\n boxes = np.squeeze(boxes)\\n scores = np.squeeze(scores)\\n classes = np.squeeze(classes).astype(np.int32)\\n min_score_thresh = .50\\n # find majority light state\\n counter = [0, 0, 0, 0, 0]\\n for i in range(boxes.shape[0]):\\n if scores is None or scores[i] > min_score_thresh:\\n counter[classes[i]] += 1\\n for i in range(1, 5):\\n if counter[i] > counter[max_idx]:\\n max_idx = i\\n return self.classmap[max_idx]\",\n \"def generateHeatMask( im ):\\n featref = computeFeatures(im)\\n h,w,nbp = im.shape\\n print(\\\"w:%d,h:%d\\\"%(w,h))\\n heatMap = np.zeros((h,w,1), dtype=np.int8)\\n black = [0,0,0]\\n white = [255,255,255]\\n rMaxDiff = 0\\n for j in range(h):\\n print(\\\"j:%d\\\" % j )\\n for i in range(w):\\n #~ print(\\\"i:%d\\\" % i )\\n arDiff = []\\n for color in [black,white]:\\n #~ print(\\\"color:%s\\\" % color)\\n imt = np.copy(im)\\n \\n # quite same time on my tablet !!! \\n # (would have think the [] would be far fastest!)\\n if 0:\\n cv2.circle(imt, (i,j), 1, color )\\n else:\\n imt[j,i]=color\\n if 0:\\n cv2.imshow(\\\"imt\\\",imt)\\n cv2.waitKey(1)\\n #~ feat = computeFeatures(imt)\\n #~ rDiff = diffFeatures(featref,feat)\\n rDiff = mseFloat(im,imt)\\n arDiff.append(rDiff)\\n #~ print(rDiff)\\n rDiff = max(arDiff)\\n if rDiff > rMaxDiff:\\n rMaxDiff = rDiff\\n heatMap[j,i] = rDiff*10\\n print(\\\"rMaxDiff: %5.3f\\\" % rMaxDiff )\\n #~ print(dir(cv2))\\n #~ heatMap = cv2.resize(heatMap,(w*2,h*2))\\n cv2.namedWindow(\\\"heat\\\",cv2.CV_WINDOW_AUTOSIZE|cv2.WINDOW_NORMAL)\\n cv2.imshow(\\\"heat\\\",heatMap)\\n cv2.resizeWindow(\\\"heat\\\",600,480)\\n cv2.waitKey(0)\",\n \"def analyze_image(which_cam, image, ntraps, iteration=0, verbose=False):\\n threshes = [0.5, 0.6]\\n margin = 10\\n threshold = np.max(image) * threshes[which_cam]\\n im = image.transpose()\\n\\n x_len = len(im)\\n peak_locs = np.zeros(x_len)\\n peak_vals = np.zeros(x_len)\\n\\n ## Trap Peak Detection ##\\n for i in range(x_len):\\n if i < margin or x_len - i < margin:\\n peak_locs[i] = 0\\n peak_vals[i] = 0\\n else:\\n peak_locs[i] = np.argmax(im[i])\\n peak_vals[i] = max(im[i])\\n\\n ## Trap Range Detection ##\\n first = True\\n pos_first, pos_last = 0, 0\\n left_pos = 0\\n for i, p in enumerate(peak_vals):\\n if p > threshold:\\n left_pos = i\\n elif left_pos != 0:\\n if first:\\n pos_first = (left_pos + i) // 2\\n first = False\\n pos_last = (left_pos + i) // 2\\n left_pos = 0\\n\\n ## Separation Value ##\\n separation = (pos_last - pos_first) / ntraps # In Pixels\\n\\n ## Initial Guesses ##\\n means0 = np.linspace(pos_first, pos_last, ntraps).tolist()\\n waists0 = (separation * np.ones(ntraps) / 2).tolist()\\n ampls0 = (max(peak_vals) * 0.7 * np.ones(ntraps)).tolist()\\n _params0 = [means0, waists0, ampls0, [0.06]]\\n params0 = [item for sublist in _params0 for item in sublist]\\n\\n ## Fitting ##\\n if verbose:\\n print(\\\"Fitting...\\\")\\n xdata = np.arange(x_len)\\n popt, pcov = curve_fit(lambda x, *params_0: wrapper_fit_func(x, ntraps, params_0),\\n xdata, peak_vals, p0=params0)\\n if verbose:\\n print(\\\"Fit!\\\")\\n plt.figure()\\n plt.plot(xdata, peak_vals) # Data\\n if iteration:\\n plt.plot(xdata, wrapper_fit_func(xdata, ntraps, params0), '--r') # Initial Guess\\n plt.plot(xdata, wrapper_fit_func(xdata, ntraps, popt)) # Fit\\n plt.title(\\\"Iteration: %d\\\" % iteration)\\n else:\\n plt.title(\\\"Final Product\\\")\\n\\n plt.xlim((pos_first - margin, pos_last + margin))\\n plt.legend([\\\"Data\\\", \\\"Guess\\\", \\\"Fit\\\"])\\n plt.show(block=False)\\n print(\\\"Fig_Newton\\\")\\n trap_powers = np.frombuffer(popt[2 * ntraps:3 * ntraps])\\n return trap_powers\",\n \"def _connect_components_analysis(image):\\n if len(image.shape) == 3:\\n gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\\n else:\\n gray_image = image\\n\\n return cv2.connectedComponentsWithStats(gray_image, connectivity=8, ltype=cv2.CV_32S)\",\n \"def do_stuff(self, net, meta):\\n cv2_img = self.img_to_cv2(self.last_img)\\n # Now we can use cv2 functions as the image is <type 'numpy.ndarray'>\\n # rospy.loginfo(\\\"cv2_img: \\\" + str(type(cv2_img)))\\n # Your OpenCV stuff\\n # cv2_img = cv2.resize(cv2_img, (0,0), fx=0.25, fy=0.25) \\n\\n (rows,cols,channels) = cv2_img.shape\\n # if cols > 60 and rows > 60 :\\n # cv2.circle(cv2_img, (50,50), 10, 255)\\n \\n global x_old\\n global no_meas_counter\\n global est\\n global cor\\n global w\\n global h\\n \\n\\n r = darknet.detect(net, meta, cv2_img)\\n # print(r)\\n\\n if not r:\\n no_meas_counter += 1\\n\\n for i in r:\\n if i[0].decode() == \\\"person\\\":\\n x, y, w, h = i[2][0], i[2][1], i[2][2], i[2][3]\\n xmin, ymin, xmax, ymax = darknet.convertBack(float(x), float(y), float(w), float(h))\\n pt1 = (xmin, ymin)\\n pt2 = (xmax, ymax)\\n cv2.rectangle(cv2_img, pt1, pt2, (0, 255, 0), 2)\\n cv2.putText(cv2_img, i[0].decode() + \\\" [\\\" + str(round(i[1] * 100, 2)) + \\\"]\\\", (pt1[0], pt1[1] + 20), cv2.FONT_HERSHEY_SIMPLEX, 1, [0, 255, 0], 4)\\n \\n global mp\\n mp = np.array([[np.float32(x)],[np.float32(y)]])\\n cor = kalman.correct(mp)\\n no_meas_counter = 0\\n\\t\\t\\n\\n else:\\n no_meas_counter += 1\\n \\n # x_old = x\\n\\n # cv2.imshow(\\\"cv2_img\\\", cv2_img)\\n # k = cv2.waitKey(1)\\n # if k == 27:\\n # cv2.destroyAllWindows()\\n # exit()\\n\\n if no_meas_counter < 30:\\n est = kalman.predict()\\n msg = PolygonStamped()\\n msg.header.stamp = rospy.Time.now()\\n # msg.polygon.points = [Point32(x=x, y=y), Point32(x=cols, y=rows), Point32(x=w, y=h)]\\n msg.polygon.points = [Point32(x=est[0], y=est[1]), Point32(x=cols, y=rows), Point32(x=w, y=h)] \\n self.pub_yolo_detection.publish(msg)\\n\\n # cv2.imshow(\\\"Image window\\\", cv2_img)\\n # cv2.waitKey(3)\\n\\n self.pub_images(cv2_img)\\n self.is_new_img = False\",\n \"def visualize_detection(self, image):\\n\\t\\tH, W, _ = image.shape\\n\\t\\tpos_list = self.apply_detection(image)\\n\\t\\tdetections = {}\\n\\t\\thasDetection = False\\n\\t\\tfor i, L in enumerate(pos_list):\\n\\t\\t\\ttext, coordinates = L[0], L[1]\\n\\t\\t\\tCOLOR = COLORS[text]\\n\\t\\t\\tfor x, y, w, h in coordinates:\\n\\t\\t\\t\\t# prune bad homography points\\n\\t\\t\\t\\tif x < 0 or y < 0 or x + w > W or \\\\\\n\\t\\t\\t\\t y + h > H or w <= 1 or h <= 1:\\n\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\t# add the detection to the dict for tracking\\n\\t\\t\\t\\tdetections[self.num_detect] = (x, y, w, h)\\n\\t\\t\\t\\tself.detection_index[self.num_detect] = (x, y, w, h, self.num_save, text)\\n\\t\\t\\t\\tself.num_detect += 1\\n\\t\\t\\t\\thasDetection = True\\n\\t\\t\\t\\t# if the detection is human\\n\\t\\t\\t\\tif text == 'face':\\n\\t\\t\\t\\t\\tgender = self.genderDetect.classify(image[y:y+h, x:x+w, :])\\n\\t\\t\\t\\t\\tgender = 'female' if gender[0] < 0.5 else 'male'\\n\\t\\t\\t\\t\\tcv2.putText(image, gender, (x + w // 2 -10, y + h + 15),\\n\\t\\t\\t\\t\\t\\tcv2.FONT_HERSHEY_SIMPLEX, 0.6, COLOR, 2, cv2.LINE_AA)\\n\\n\\t\\t\\t\\timage = cv2.rectangle(image, (x, y), (x + w, y + h), COLOR, 2)\\n\\t\\t\\t\\tcv2.putText(image, text, (x, y - 5),\\n\\t\\t\\t\\t\\tcv2.FONT_HERSHEY_SIMPLEX, 0.6, COLOR, 2, cv2.LINE_AA)\\n\\t\\tif hasDetection:\\n\\t\\t\\tself.detection_frames[self.num_save] = detections\\n\\t\\tself.num_save +=1\\n\\t\\treturn image\",\n \"def cs4243_histmatch(ori_image, refer_image):\\n \\n ##your code here ###\\n\\n # get cdf of ori and ref image\\n grey_level = 256\\n ori_hist, ori_cum_hist, ori_res_image, ori_uni_hist = cs4243_histequ(ori_image, grey_level)\\n ref_hist, ref_cum_hist, ref_res_image, ref_uni_hist = cs4243_histequ(refer_image, grey_level)\\n \\n # map each ori cdf to ref cdf and get the mapped index as matched grey level\\n map_value = []\\n for i in range(grey_level):\\n ori_cdf = ori_cum_hist[i]\\n matched_intensity = np.uint8(np.abs(ref_cum_hist - ori_cdf).argmin())\\n map_value.append(matched_intensity)\\n ##\\n\\n # Set the intensity of the pixel in the raw image to its corresponding new intensity \\n height, width = ori_image.shape\\n res_image = np.zeros(ori_image.shape, dtype='uint8') # Note the type of elements\\n for i in range(height):\\n for j in range(width):\\n res_image[i,j] = map_value[ori_image[i,j]]\\n \\n res_hist = np.bincount(res_image.flatten(), minlength=256)\\n \\n return ori_hist, ref_hist, res_image, res_hist\",\n \"def observation(self, img):\\r\\n img = img[25:200]\\r\\n img = cv2.resize(img, self.img_size[1:])\\r\\n if not self.color:\\r\\n img = img.mean(-1, keepdims=True)\\r\\n\\r\\n return img.transpose([2, 0, 1]) / 255\",\n \"def perform_event_analysis():\\n\\n tol = 2.0 # Arcmin\\n calib_on_colours = False\\n\\n params = get_args()\\n\\n log = start_log(params)\\n\\n (star_catalog,image_trios,catalog_header) = read_combined_star_catalog(params,log)\\n\\n lightcurves = read_lightcurves(params,log)\\n\\n target = find_target_data(params,star_catalog,lightcurves,image_trios,log)\\n\\n (source, blend) = calc_source_blend_params(params,log)\\n\\n source = calc_source_lightcurve(source, target, log)\\n\\n measure_photometric_source_colours(params,target,log)\\n\\n (det_idx, cat_idx, close_cat_idx) = index_valid_star_entries(star_catalog,\\n target,tol,log,\\n valid_cat=True)\\n\\n deltas = calibrate_instrumental_colour_colour_diagram(params,star_catalog,\\n catalog_header,target,\\n det_idx,cat_idx,close_cat_idx,\\n log,\\n calib=calib_on_colours)\\n\\n RC = localize_red_clump(star_catalog,close_cat_idx,log)\\n\\n analyse_colour_mag_diagrams(params,star_catalog,catalog_header,\\n target, source,blend,RC,\\n det_idx,cat_idx,close_cat_idx,log)\\n\\n RC = measure_RC_offset(params,RC,target,log)\\n\\n (target,source,blend) = calc_phot_properties(target, source, blend, RC, log)\\n\\n plot_colour_colour_diagram(params,star_catalog,catalog_header,\\n target, source, blend, RC,\\n det_idx,cat_idx,close_cat_idx, log)\\n\\n (source, blend) = match_source_blend_isochrones(params,source,blend,log)\\n\\n (source, blend) = calc_source_blend_ang_radii(source, blend, log)\\n\\n (source, blend) = calc_source_blend_physical_radii(source, blend, log)\\n\\n (source,blend) = calc_source_blend_distance(source, blend, RC, log)\\n\\n lens = calc_lens_parameters(params, source, RC, log)\\n\\n output_red_clump_data_latex(params,RC,log)\\n\\n output_source_blend_data_latex(params,source,blend,log)\\n\\n output_lens_parameters_latex(params,source,lens,log)\",\n \"def image_preprocessing(img):\\n\\n # Removing parasite data (sky, trees and front of the car)\\n return img[60:-20, :, :]\",\n \"def detect_velocity(image):\\n nonlocal prev, v_last\\n curr_bgr = cv.warpPerspective(image, M, (160, 120))\\n curr = cv.cvtColor(curr_bgr, cv.COLOR_BGR2GRAY)\\n\\n if prev is None:\\n prev = curr\\n v_last = 0.0\\n return v_last, curr_bgr, np.zeros_like(image)\\n\\n flow = cv.calcOpticalFlowFarneback(\\n prev, # Previous image\\n curr, # Current image\\n None, # Computed flow image that has the same size oas prev and type CV_32FC2.\\n 0.5, # Specifies the image scale (<1) to build pyramids for each image.\\n 3, # Number of pyramid layers including the initial image.\\n 15, # winsize, averaging windows size.\\n 3, # iterations, number of iterations the algorithm does at each pyramid level.\\n 5, # standard deviation of the Gaussian that is used to smooth derivative\\n 1.5,\\n 0)\\n\\n mag, ang = cv.cartToPolar(flow[..., 0], flow[..., 1])\\n\\n v = mag * np.sin(ang)\\n\\n ######################\\n ## Histogram for mag\\n ar = np.arange(-20.0, 20.0, 0.50, dtype=np.float)\\n his = np.histogram(v, bins=ar)\\n\\n for i, n in enumerate(his[0]):\\n bgr = (255, 255, 0)\\n if his[1][i] < 0:\\n bgr = (0, 255, 255)\\n\\n #print('[{}] {} - {}'.format(i, n, his[1][i]))\\n cv.rectangle( image, #curr_bgr,\\n (i*2, HEIGHT),\\n (i*2, HEIGHT - int(n / 10)),\\n bgr, #(0, 255, 255),\\n cv.FILLED)\\n\\n hsv = np.zeros_like(image)\\n hsv[..., 0] = ang * 180 / np.pi / 2\\n hsv[..., 1] = 255\\n hsv[..., 2] = cv.normalize(np.abs(v), None, 0, 255, cv.NORM_MINMAX)\\n hsv_bgr = cv.cvtColor(hsv, cv.COLOR_HSV2BGR)\\n ##\\n ######################\\n\\n v_abs = np.absolute(v)\\n v = v[v_abs >= np.percentile(v_abs, VELOCITY_CUTOFF_PCT)]\\n\\n v_max = v_last + MAX_ACC\\n v_min = v_last - MAX_ACC\\n v = np.clip(v, v_min, v_max)\\n if v.size > 0:\\n v_avg = v.mean()\\n else:\\n if v_last > 0:\\n v_avg = max(v_last - MAX_ACC, 0)\\n elif v_last < 0:\\n v_avg = min(v_last + MAX_ACC, 0)\\n else:\\n v_avg = 0\\n\\n prev = curr\\n v_last = v_avg\\n return v_last, curr_bgr, hsv_bgr\",\n \"def detect_sea_lions_in_image(filename,\\n model,\\n patch_h,\\n patch_w,\\n resize_image_patch_to_h, \\n resize_image_patch_to_w,\\n resize_mask_patch_to_h,\\n resize_mask_patch_to_w,\\n display_mask=False):\\n\\n train_image = cv2.imread(filename)\\n image_patches_list = dhap.slice_the_image_into_patches(train_image, patch_h, patch_w)\\n\\n # Recombine the image from the patches (train_image.shape != image.shape)\\n # bacause the size of the image is adjusted to be a multiple of patch_h and patch_w. \\n image = dhap.combine_pathes_into_image(image_patches_list)\\n\\n if (display_mask == True):\\n fig, ax = plt.subplots()\\n cax = ax.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))\\n cbar = fig.colorbar(cax)\\n plt.axis(\\\"off\\\")\\n plt.show() \\n\\n # Resize the patches to the ones used by the model.\\n image_patches_list = dhap.resize_patches_in_patches_list(image_patches_list, \\n resize_image_patch_to_h, \\n resize_image_patch_to_w)\\n\\n mask_patches_list = apply_model_to_image_patches_list(image_patches_list, model)\\n\\n # The model outputs a (1,n) vertor. Reshape it to a matrix.\\n mask_patches_list = reshape_patches_list(mask_patches_list,\\n resize_mask_patch_to_h,\\n resize_mask_patch_to_w)\\n\\n mask_patches_list = resized_image_patches_list = dhap.resize_patches_in_patches_list(mask_patches_list, \\n patch_h, \\n patch_w)\\n\\n mask = dhap.combine_pathes_into_mask(mask_patches_list)\\n\\n image = dhap.apply_mask(image, mask)\\n\\n if (display_mask == True):\\n fig, ax = plt.subplots()\\n cax = ax.imshow(mask)\\n cbar = fig.colorbar(cax)\\n plt.axis(\\\"off\\\")\\n plt.show() \\n\\n\\n if (display_mask == True):\\n fig, ax = plt.subplots()\\n cax = ax.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))\\n cbar = fig.colorbar(cax)\\n plt.axis(\\\"off\\\")\\n plt.show() \\n\\n\\n\\n print(mask_patches_list[0][0].shape)\\n\\n\\n #combine_pathes_into_image(patches_list\",\n \"def find_objects_in_image(self, image, visualize):\\n self.select(image)\\n\\n for scan_region in self.scan_regions:\\n self.set_scaling(scan_region[0])\\n full, small = self.find_instances(image, scan_region[1], 0.5)\\n if (visualize):\\n fig = plt.figure(figsize=(30, 20))\\n plt.imshow(small)\\n plt.title(\\\"Scan region {} using scaling {}\\\".format(scan_region[1], scan_region[0]))\\n plt.show()\",\n \"def GAN_COLOUR_FEATURE(image):\\n import cv2\\n import numpy as np\\n \\n \\n img = cv2.imread(image)\\n hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)\\n ycc = cv2.cvtColor(img,cv2.COLOR_BGR2YCrCb)\\n \\n Feature = np.concatenate([cooccurence_3D_matrix(img, True),\\n cooccurence_2D_matrix(hsv[:,:,0],True),\\n cooccurence_2D_matrix(hsv[:,:,1],True),\\n cooccurence_2D_matrix(ycc[:,:,1],True),\\n cooccurence_2D_matrix(ycc[:,:,2],True)],\\n axis = None)\\n \\n return Feature\",\n \"def traffic_light_detection(img_in, radii_range, noisy_image=False, max_x_offset=5):\\n\\n img = process_base_image(img_in, (7, 7))\\n\\n # find all the circles in an image using Hough Circles\\n min_radii = min(radii_range)\\n max_radii = max(radii_range)\\n # the distance between the circles should be the smallest possible circles that can touch.\\n min_dist = min_radii * 2 + 10\\n\\n # img, dp, min_dist, param1, param2, minRad, maxRad\\n if noisy_image:\\n circles = hough_circles(img, 1.55, min_dist, 20, 15, min_radii, max_radii)\\n else:\\n circles = hough_circles(img, 1.125, min_dist, 30, 20, min_radii, max_radii)\\n\\n if circles is None:\\n return (0, 0), None\\n else:\\n # cleanup circles so its easier to use.\\n circles = circles[0, :]\\n # round the numbers of the array to uint16 values.\\n circles = np.uint16(np.around(circles))\\n\\n if len(circles) < 3:\\n return (1000, 1000), None\\n else: # If there are more than 3 circles found, eliminate the outliers that shouldn't be detected.\\n # sort the circles first by x, then by Radius value, then by Y value.\\n circles = sorted(circles, key=lambda c: (c[0], c[2], c[1]))\\n\\n # since the traffic lights will be a group of 3 circles with a similar radius, then x value, then somewhat close\\n # in y value, use a \\\"window\\\" type of sliding group to create groups of 3 circles that can then be compared\\n # to each other to see if they would make up circles of a traffic light.\\n circle_groups = []\\n for c_idx in range(len(circles) - 2):\\n circle_group = circles[c_idx: c_idx + 3] # build the group\\n circle_groups.append(circle_group)\\n\\n circle_groups = np.array(circle_groups)\\n # for each circle group found, need to figure out the group with the lowest overall standard deviation.\\n # for each group, calculate the std deviations.\\n group_deviations = np.array([circle_group_deviations(g) for g in circle_groups])\\n\\n most_similar_idx = np.argmin(group_deviations)\\n final_circles = circle_groups[most_similar_idx]\\n\\n # if the circles aren't close to each other in the X direction, return\\n # none since its not a traffic light.\\n x_diffs = np.diff(final_circles[:, 0])\\n if np.any(x_diffs >= max_x_offset):\\n return (None, None), None\\n\\n # sort the circles from top down to allow color compare.\\n circles = final_circles[np.argsort(final_circles[:, 1])] # sort by Y direction.\\n # creating some names for clarity due to x, y being col, row.\\n red_row, red_col, yellow_row, yellow_col, green_row, green_col = [\\n circles[0][1],\\n circles[0][0],\\n circles[1][1],\\n circles[1][0],\\n circles[2][1],\\n circles[2][0],\\n ]\\n\\n # determine colors.\\n state = 'yellow' # default state.\\n cords = (yellow_col, yellow_row)\\n\\n red_color = np.array([0, 0, 255])\\n green_color = np.array([0, 255, 0])\\n\\n # stop for false positive labels.\\n if img_in[yellow_row, yellow_col][0] > 10:\\n return (None, None), None\\n\\n if (img_in[red_row, red_col] == red_color).all():\\n state = 'red'\\n elif (img_in[green_row, green_col] == green_color).all():\\n state = 'green'\\n\\n # print 'Color of TL midpoint is {}'.format(img_in[yellow_row, yellow_col])\\n\\n return cords, state\",\n \"def detect(img, template):\\r\\n\\r\\n #detect threshold\\r\\n args = parse_args()\\r\\n threshold=dictornary(args)\\r\\n\\r\\n # detect edges of image\\r\\n \\\"\\\"\\\"prewitt_x = [[1, 0, -1]] * 3\\r\\n prewitt_y = [[1] * 3, [0] * 3, [-1] * 3]\\r\\n img_x = task1.detect_edges(img, prewitt_x, False)\\r\\n img_y = task1.detect_edges(img, prewitt_y, False)\\r\\n img_norm = task1.edge_magnitude(img_x, img_y)\\r\\n\\r\\n task1.write_image(task1.normalize(img_norm), \\\".//img_norm.jpg\\\")\\r\\n\\r\\n # detect edges in template\\r\\n\\r\\n temp_x = task1.detect_edges(template, prewitt_x, False)\\r\\n temp_y = task1.detect_edges(template, prewitt_y, False)\\r\\n template_norm = task1.edge_magnitude(temp_x, temp_y)\\r\\n\\r\\n task1.write_image(task1.normalize(template_norm), \\\".//template_norm.jpg\\\") \\\"\\\"\\\"\\r\\n\\r\\n img_norm = task1.normalize(img)\\r\\n template_norm = task1.normalize(template)\\r\\n\\r\\n coordinates = []\\r\\n temp_h = len(template_norm)\\r\\n temp_w = len(template_norm[0])\\r\\n\\r\\n rows = len(img_norm)\\r\\n cols = len(img_norm[0])\\r\\n\\r\\n output = [[0 for x in range(len(img_norm[0]))] for y in range(len(img_norm))]\\r\\n cropped_img = [[0 for x in range(temp_w)] for y in range(temp_h)]\\r\\n\\r\\n for i in range(rows):\\r\\n for j in range(cols):\\r\\n\\r\\n if ((i +temp_h) < rows and (j + temp_w < cols)):\\r\\n cropped_img = utils.crop(img_norm, i, i + temp_h, j, j + temp_w)\\r\\n\\r\\n\\r\\n img_mul_temp = utils.elementwise_mul(cropped_img, template_norm)\\r\\n sum = 0\\r\\n # sum of every elemnet in img_mul_temp\\r\\n for p in range(temp_h):\\r\\n for q in range(temp_w):\\r\\n sum += img_mul_temp[p][q]\\r\\n\\r\\n # squaring every element in denominator of image\\r\\n square_img = utils.elementwise_mul(cropped_img, cropped_img)\\r\\n numsum_img = 0\\r\\n for d in range(len(cropped_img)):\\r\\n for e in range(len(cropped_img[0])):\\r\\n numsum_img += square_img[d][e]\\r\\n\\r\\n # squaring every element in denominator of template\\r\\n square_temp = utils.elementwise_mul(template_norm, template_norm)\\r\\n numsum_temp = 0\\r\\n for k in range(temp_h):\\r\\n for l in range(temp_w):\\r\\n numsum_temp += square_temp[k][l]\\r\\n\\r\\n denominator = np.sqrt((numsum_img * numsum_temp))\\r\\n\\r\\n if (denominator != 0):\\r\\n output[i][j] = (sum / denominator)\\r\\n if (output[i][j] > threshold):\\r\\n coordinates.append([i, j])\\r\\n\\r\\n # TODO: implement this function.\\r\\n # raise NotImplementedError\\r\\n return coordinates\",\n \"def get_classification(self, image):\\n if self.correct_gamma:\\n if self.gamma == 1.0:\\n self.gamma = 0.6\\n elif self.gamma == 0.6:\\n self.gamma = 1.0\\n image = self.adjust_gamma(image, self.gamma)\\n image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\\n image_np = np.asarray(image, dtype=\\\"uint8\\\")\\n image_np_expanded = np.expand_dims(image_np, axis=0)\\n\\n detected = False\\n\\n with self.detection_graph.as_default():\\n (boxes, scores, classes, num) = self.sess.run(\\n [self.detection_boxes, self.detection_scores, self.detection_classes, self.num_detections],\\n feed_dict={self.image_tensor: image_np_expanded})\\n boxes = np.squeeze(boxes)\\n classes = np.squeeze(classes).astype(np.int32)\\n scores = np.squeeze(scores)\\n best_scores = []\\n\\n for idx, classID in enumerate(classes):\\n if self.MODEL_NAME == 'ssdlite_mobilenet_v2_coco_2018_05_09':\\n if classID == 10: # 10 is traffic light\\n if scores[idx] > 0.10: #confidence level\\n best_scores.append([scores[idx], idx, classID])\\n detected = True\\n else: # we tuned the model to classify only traffic lights\\n if scores[idx] > 0.10: # confidence level\\n best_scores.append([scores[idx], idx, classID])\\n detected = True\\n\\n tl_index = TrafficLight.UNKNOWN\\n if detected:\\n best_scores.sort(key=lambda tup: tup[0], reverse=True)\\n\\n best_score = best_scores[0]\\n rospy.logdebug(\\\"number of TL found %d, best score: %f, color: %f\\\", len(best_scores), best_score[0], best_score[2])\\n nbox = boxes[best_score[1]]\\n\\n height = image.shape[0]\\n width = image.shape[1]\\n\\n box = np.array([nbox[0]*height, nbox[1]*width, nbox[2]*height, nbox[3]*width]).astype(int)\\n box_height = box[2] - box[0]\\n box_width = box[3] - box[1]\\n ratio = float(box_height)/float(box_width)\\n rospy.logdebug(\\\"ratio: %f\\\", ratio)\\n if ratio >= 2.0 and ratio < 3.0: #started from 2.4\\n tl_cropped = image[box[0]:box[2], box[1]:box[3]]\\n tl_color, tl_index = self.get_color(tl_cropped)\\n #color = ['RED', 'YELLOW', 'GREEN', 'UNKNOWN']\\n #tl_index = best_score[2]\\n #tl_color = color[tl_index]\\n #augment image with detected TLs\\n cv2.rectangle(image, (box[1], box[0]), (box[3], box[2]), (0, 255, 0), 2)\\n font = cv2.FONT_HERSHEY_SIMPLEX\\n font_color = (255, 255, 255)\\n cv2.putText(image, tl_color, (box[1], box[0]), font, 2.0, font_color, lineType=cv2.LINE_AA)\\n return image, tl_index\",\n \"def describe(image):\\n needle = cv2.imread(image, 0)\\n orb = cv2.ORB()\\n keypoints, description = orb.detectAndCompute(needle, None)\\n print(keypoints)\\n print(description)\\n return keypoints, description\",\n \"def main():\\n stats = []\\n start = timer()\\n\\n for file_name in get_dataset():\\n\\n # load image and ground truth detection mask\\n img = cv2.imread(settings.PATH + file_name)\\n ground_truth_mask = cv2.imread(settings.PATH_GT_MASKS + file_name)\\n\\n # Find list of barcode regions (rotated rectangle) within image\\n barcode_regions, debug_img = find_barcodes(img)\\n barcode_regions_mask = np.zeros(img.shape, np.uint8)\\n barcode_images = None\\n result = []\\n\\n # Decode barcode regions\\n for barcode_region in barcode_regions:\\n\\n # Decode barcode image\\n barcode_img = barcode_region.extract_from(img)\\n barcode_mask = barcode_region.get_mask(img)\\n debug_img = barcode_region.draw(debug_img)\\n\\n # Combine masks from multiple detected regions\\n barcode_regions_mask += barcode_mask\\n\\n # Decode barcode\\n decoded = pyzbar.decode(barcode_img)\\n\\n # Keep result for logging\\n data = \\\", \\\".join([d.data.decode(\\\"utf-8\\\") for d in decoded])\\n result.append({\\\"data\\\": data, \\\"region\\\": barcode_region.json()})\\n\\n if settings.SHOW_IMAGE:\\n barcode_images = img_concat(barcode_images, barcode_img)\\n\\n # Jaccard_accuracy = intersection over union of the two binary masks\\n jaccard_accuracy = 0\\n if ground_truth_mask is not None:\\n r = barcode_regions_mask.max(axis=-1).astype(bool)\\n u = ground_truth_mask.max(axis=-1).astype(bool)\\n jaccard_accuracy = float((r & u).sum()) / (r | u).sum()\\n stats.append(jaccard_accuracy)\\n\\n # Log result\\n logger.info(\\n \\\"Image processed\\\",\\n file_name=file_name,\\n jaccard_accuracy=jaccard_accuracy,\\n success=jaccard_accuracy > 0.5,\\n result=result,\\n )\\n\\n # In debug mode show visualization of detection algorithm\\n if settings.SHOW_IMAGE:\\n\\n # Add alpha channel\\n debug_img = cv2.cvtColor(debug_img, cv2.COLOR_BGR2BGRA)\\n if barcode_images is not None:\\n barcode_images = cv2.cvtColor(barcode_images, cv2.COLOR_BGR2BGRA)\\n\\n # Overlay error mask\\n # Pixel-wise difference between ground truth and detected barcodes\\n if ground_truth_mask is not None:\\n error_img = np.zeros(debug_img.shape, np.uint8)\\n error_img[r & u] = np.array([0, 0, 0, 0], dtype=np.uint8)\\n error_img[np.logical_xor(r, u)] = np.array(\\n [0, 0, 255, 1], dtype=np.uint8\\n )\\n debug_img = cv2.addWeighted(debug_img, 1, error_img, 0.5, 0)\\n\\n # Append barcode pictures to the right\\n debug_img = img_concat(debug_img, barcode_images, axis=1)\\n\\n # Show visualization\\n cv2.namedWindow(\\\"img\\\", cv2.WINDOW_NORMAL)\\n cv2.imshow(\\\"img\\\", debug_img)\\n cv2.waitKey(0)\\n\\n # Calculate final stats\\n end = timer()\\n accuracy = np.array(stats).mean()\\n successes = np.where(np.array(stats) > 0.5)[0]\\n logger.info(\\n \\\"Final stats\\\",\\n accuracy=accuracy,\\n detection_rate=float(len(successes)) / len(stats),\\n fps=len(stats) / (end - start),\\n )\",\n \"def draw_boxes_cars(img, vehicles_instance):\\n\\n for car_number in range(1, vehicles_instance.number_of_found_cars+1):\\n # Find pixels with each car_number label value\\n nonzero = (vehicles_instance.binary_map == car_number).nonzero()\\n\\n # Identify x and y values of those pixels\\n nonzeroy = np.array(nonzero[0])\\n nonzerox = np.array(nonzero[1])\\n\\n # Define a bounding box based on min/max x and y\\n bbox = ((np.min(nonzerox), np.min(nonzeroy)), (np.max(nonzerox), np.max(nonzeroy)))\\n\\n # Draw the box on the image\\n cv2.rectangle(img, bbox[0], bbox[1], (0, 0, 255), 6)\\n\\n return img\",\n \"def __image_pipeline(self, img):\\n \\n ##### Lane finding pipeline #######\\n resized = self.__resize_image(img)\\n undistorted = self.__correct_distortion(resized)\\n warped = self.__warp_image_to_biv(undistorted)\\n thresholded = self.__threshold_image(warped)\\n lines = self.__get_lane_lines(thresholded)\\n lane_img = self.__draw_lane_lines(undistorted, thresholded, include_stats=True)\\n\\n\\n ##### Vehicle Tracking pipeline #####\\n\\n hot_windows = self.windFinder.get_hot_windows(img)\\n car_boxes, wrap_img = self.vTracker.image_pipeline(img, hot_windows,\\n return_img=False) \\n # img = cv2.addWeighted(img, 1, wrap_img, 0.5, 0)\\n result = self.__draw_boxes(lane_img, car_boxes)\\n\\n return result\",\n \"def test_find_tfl_lights(image_path, json_path=None, fig_num=None):\\n image = np.array(Image.open(image_path))\\n if json_path is None:\\n objects = None\\n else:\\n gt_data = json.load(open(json_path))\\n what = ['traffic light']\\n objects = [o for o in gt_data['objects'] if o['label'] in what]\\n\\n show_image_and_gt(image, objects, fig_num)\\n\\n red_x, red_y, green_x, green_y = find_tfl_lights(image)\\n plt.plot(red_x, red_y, 'ro', color='r', markersize=3)\\n plt.plot(green_x, green_y, 'ro', color='g', markersize=3)\",\n \"def check_central_star(all_images,x_star0,y_star0,all_titles,all_filt,Dx=100,Dy=50):\\n index=0\\n \\n x_star = []\\n y_star = []\\n \\n for image in all_images:\\n x0=int(x_star0[index])\\n y0=int(y_star0[index])\\n \\n old_x0=x0-(x0-Dx)\\n old_y0=y0-(y0-Dy)\\n \\n sub_image=np.copy(image[y0-Dy:y0+Dy,x0-Dx:x0+Dx])\\n NX=sub_image.shape[1]\\n NY=sub_image.shape[0]\\n \\n profile_X=np.sum(sub_image,axis=0)\\n profile_Y=np.sum(sub_image,axis=1)\\n X_=np.arange(NX)\\n Y_=np.arange(NY)\\n \\n profile_X_max=np.max(profile_X)*1.2\\n profile_Y_max=np.max(profile_Y)*1.2\\n \\n avX,sigX=weighted_avg_and_std(X_,profile_X**4) ### better if weight squared\\n avY,sigY=weighted_avg_and_std(Y_,profile_Y**4) ### really avoid plateau contribution\\n #print index,'\\\\t',avX,avY,'\\\\t',sigX,sigY\\n \\n f, (ax1, ax2,ax3) = plt.subplots(1,3, figsize=(20,4))\\n\\n ax1.imshow(sub_image,origin='lower',vmin=0,vmax=10000,cmap='rainbow')\\n ax1.plot([avX],[avY],'ko')\\n ax1.grid(True)\\n ax1.set_xlabel('X - pixel')\\n ax1.set_ylabel('Y - pixel')\\n \\n ax2.plot(X_,profile_X,'r-',lw=2)\\n ax2.plot([old_x0,old_x0],[0,profile_X_max],'y-',label='old',lw=2)\\n ax2.plot([avX,avX],[0,profile_X_max],'b-',label='new',lw=2)\\n \\n \\n ax2.grid(True)\\n ax2.set_xlabel('X - pixel')\\n ax2.legend(loc=1)\\n \\n ax3.plot(Y_,profile_Y,'r-',lw=2)\\n ax3.plot([old_y0,old_y0],[0,profile_Y_max],'y-',label='old',lw=2)\\n ax3.plot([avY,avY],[0,profile_Y_max],'b-',label='new',lw=2)\\n \\n ax3.grid(True)\\n ax3.set_xlabel('Y - pixel')\\n ax3.legend(loc=1)\\n \\n \\n thetitle=\\\"{} : {} , {} \\\".format(index,all_titles[index],all_filt[index])\\n f.suptitle(thetitle, fontsize=16)\\n \\n theX=x0-Dx+avX\\n theY=y0-Dy+avY\\n \\n x_star.append(theX)\\n y_star.append(theY)\\n \\n \\n index+=1\\n \\n x_star=np.array(x_star)\\n y_star=np.array(y_star)\\n \\n return x_star,y_star\",\n \"def histo_image(image, verbose=False):\\n gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\\n\\n histo_global = cv2.equalizeHist(gray)\\n\\n _, histo = cv2.threshold(histo_global, thresh=250,\\n maxval=255, type=cv2.THRESH_BINARY)\\n\\n if verbose:\\n plt.imshow(histo, cmap='gray')\\n plt.show()\\n\\n return histo\",\n \"def plot_HDres_histos_vs_z(\\n df,\\n nameout,\\n threshold_var=\\\"class0\\\",\\n threshold_list=[0.5, 0.7, 0.9],\\n threshold_sign=\\\">\\\",\\n):\\n\\n P = df[df[\\\"class0\\\"] > 0.5]\\n Ias = df[df[\\\"target\\\"] == 0]\\n\\n TP = P[P[\\\"target\\\"] == 0]\\n FP = P[P[\\\"target\\\"] != 0]\\n\\n sel_TP_dic = {}\\n sel_FP_dic = {}\\n for t in threshold_list:\\n if threshold_sign == \\\">\\\":\\n sel_TP_dic[t] = TP[TP[threshold_var] > t]\\n sel_FP_dic[t] = FP[FP[threshold_var] > t]\\n else:\\n sel_TP_dic[t] = TP[TP[threshold_var] < t]\\n sel_FP_dic[t] = FP[FP[threshold_var] < t]\\n\\n plt.clf()\\n cm = CMAP\\n fig = plt.figure(figsize=(14, 14))\\n # gs = gridspec.GridSpec(4, 2, width_ratios=[3, 1], height_ratios=[2, 2, 1, 1])\\n # gs.update(wspace=0.1, hspace=0.3)\\n\\n # # gridspec init\\n # ax00 = plt.subplot(gs[0, 0]) # Hres Ia\\n # ax10 = plt.subplot(gs[1, 0], sharex=ax00) # Hres CC\\n # ax20 = plt.subplot(gs[2:, 0], sharex=ax00) # efficiency\\n # ax01 = plt.subplot(gs[0, 1], sharey=ax00) # histo Ia\\n # ax11 = plt.subplot(gs[1, 1], sharey=ax10) # histo CC\\n # ax21 = plt.subplot(gs[2, 1]) # histo x1\\n # ax31 = plt.subplot(gs[3, 1]) # histo c\\n gs = gridspec.GridSpec(3, 3, height_ratios=[2, 2, 1])\\n # gs.update(wspace=0.2, hspace=0.1)\\n\\n # gridspec init\\n ax00 = plt.subplot(gs[0, 0:2]) # Hres Ia\\n ax10 = plt.subplot(gs[1, 0:2], sharex=ax00) # Hres CC\\n ax20 = plt.subplot(gs[2, 0]) # redshift dist\\n ax01 = plt.subplot(gs[0, 2], sharey=ax00) # histo Ia\\n ax11 = plt.subplot(gs[1, 2], sharey=ax10) # histo CC\\n ax21 = plt.subplot(gs[2, 1]) # histo x1\\n ax31 = plt.subplot(gs[2, 2]) # histo c\\n\\n # lines\\n ax00.plot([0, 1.2], np.zeros(len([0, 1.2])), \\\"k:\\\")\\n ax10.plot([0, 1.2], np.zeros(len([0, 1.2])), \\\"k:\\\")\\n\\n mubins = np.arange(-2, 2 + 0.1, 0.1)\\n\\n # Hres w. histogram\\n def HRwhisto(\\n df, sel_dic, ax_left, ax_right, threshold_sign, ylabel=\\\"TP\\\", visible=False\\n ):\\n if ylabel == \\\"TP\\\":\\n sntyp = \\\"Ia\\\"\\n else:\\n sntyp = \\\"CC\\\"\\n ax_left.scatter(\\n df[\\\"SIM_REDSHIFT_CMB\\\"],\\n df[\\\"delmu\\\"],\\n c=df[\\\"class0\\\"],\\n cmap=CMAP,\\n vmin=0.5,\\n vmax=1,\\n s=8,\\n )\\n ax_left.errorbar(\\n df[\\\"SIM_REDSHIFT_CMB\\\"],\\n df[\\\"delmu\\\"],\\n yerr=df[\\\"delmu_err\\\"],\\n color=\\\"gray\\\",\\n zorder=0,\\n fmt=\\\"none\\\",\\n marker=\\\"none\\\",\\n )\\n\\n ax_left.set_ylim(-2, 2)\\n ax_left.set_xlim(0, 1.2)\\n ax_left.set_ylabel(f\\\"{ylabel} residual\\\", fontsize=18)\\n ax_left.tick_params(labelsize=14)\\n plt.setp(ax_left.get_xticklabels(), visible=visible)\\n if visible is True:\\n ax_left.set_xlabel(\\\"simulated redshift\\\", fontsize=18)\\n for t in threshold_list:\\n sel = sel_dic[t]\\n n_SNe = len(sel)\\n ax_right.hist(\\n sel[\\\"delmu\\\"],\\n orientation=\\\"horizontal\\\",\\n histtype=\\\"step\\\",\\n color=cm(t),\\n bins=mubins,\\n density=True,\\n label=f\\\"{n_SNe} {sntyp} {threshold_sign} {t}\\\",\\n lw=2,\\n )\\n ax_right.legend(loc=\\\"lower center\\\", prop={\\\"size\\\": 13})\\n plt.setp(ax_right.get_yticklabels(), visible=False)\\n plt.setp(ax_right.get_xticklabels(), visible=False)\\n ax_right.plot(\\n [ax_right.get_xlim()[0], ax_right.get_xlim()[1]],\\n np.zeros(len([ax_right.get_xlim()[0], ax_right.get_xlim()[1]])),\\n \\\"k:\\\",\\n )\\n\\n HRwhisto(TP, sel_TP_dic, ax00, ax01, threshold_sign, ylabel=\\\"TP\\\", visible=False)\\n HRwhisto(FP, sel_FP_dic, ax10, ax11, threshold_sign, ylabel=\\\"FP\\\", visible=True)\\n\\n # z histos\\n n, bins_to_use, tmp = ax20.hist(\\n Ias[\\\"SIM_REDSHIFT_CMB\\\"], histtype=\\\"step\\\", color=\\\"black\\\", bins=15, lw=3\\n )\\n\\n for t in threshold_list:\\n sel_TP = sel_TP_dic[t]\\n sel_FP = sel_FP_dic[t]\\n ax20.hist(\\n sel_TP[\\\"SIM_REDSHIFT_CMB\\\"], histtype=\\\"step\\\", color=cm(t), bins=bins_to_use\\n )\\n ax20.hist(\\n sel_FP[\\\"SIM_REDSHIFT_CMB\\\"],\\n histtype=\\\"step\\\",\\n color=cm(t),\\n linestyle=\\\"--\\\",\\n bins=bins_to_use,\\n )\\n ax20.set_xlim(0, 1.2)\\n ax20.tick_params(labelsize=14)\\n ax20.set_xlabel(\\\"simulated redshift\\\", fontsize=18)\\n\\n # hist stretch\\n n, bins_to_use, tmp = ax21.hist(Ias[\\\"x1\\\"], color=\\\"black\\\", histtype=\\\"step\\\", lw=3)\\n for t in threshold_list:\\n sel_TP = sel_TP_dic[t]\\n ax21.hist(\\n sel_TP[\\\"x1\\\"],\\n orientation=\\\"vertical\\\",\\n histtype=\\\"step\\\",\\n color=cm(t),\\n bins=bins_to_use,\\n lw=2,\\n )\\n ax21.set_xlabel(\\\"x1\\\", fontsize=18)\\n ax21.yaxis.set_label_position(\\\"right\\\")\\n ax21.set_xlim(-3, 3)\\n ax21.tick_params(labelsize=14)\\n # color histo\\n n, bins_to_use, tmp = ax31.hist(Ias[\\\"c\\\"], color=\\\"black\\\", histtype=\\\"step\\\", lw=3)\\n for t in threshold_list:\\n sel_TP = sel_TP_dic[t]\\n ax31.hist(\\n sel_TP[\\\"c\\\"],\\n orientation=\\\"vertical\\\",\\n histtype=\\\"step\\\",\\n color=cm(t),\\n bins=bins_to_use,\\n lw=2,\\n )\\n ax31.set_xlabel(\\\"c\\\", fontsize=18)\\n ax31.set_xlim(-1, 1)\\n ax31.tick_params(labelsize=14)\\n ax31.yaxis.set_label_position(\\\"right\\\")\\n\\n gs.tight_layout(fig)\\n plt.savefig(nameout)\\n plt.close()\\n del fig\",\n \"def get_classification(self, image):\\n hsv_image = cv2.cvtColor(image,cv2.COLOR_BGR2HSV)\\n red_low = np.array([0, 100, 100],np.uint8)\\n red_high = np.array([10, 255, 255],np.uint8) \\n red1_low = np.array([160, 100, 100],np.uint8)\\n red1_high = np.array([179, 255, 255],np.uint8)\\n \\n if cv2.countNonZero(cv2.inRange(hsv_image,red_low,red_high))+cv2.countNonZero(cv2.inRange(hsv_image,red1_low,red1_high))>45:\\n return TrafficLight.RED\\n \\n yel_low = np.array([28, 100, 100],np.uint8)\\n yel_high = np.array([48, 255, 255],np.uint8)\\n if cv2.countNonZero(cv2.inRange(hsv_image, yel_low, yel_high)) > 45:\\n return TrafficLight.YELLOW\\n \\n gr_low = np.array([64, 100, 100],np.uint8)\\n gr_high = np.array([100, 255, 255],np.uint8)\\n if cv2.countNonZero(cv2.inRange(hsv_image, gr_low, gr_high)) > 45:\\n return TrafficLight.GREEN\\n \\n return TrafficLight.UNKNOWN\",\n \"def detect(self, img: np.ndarray) -> np.ndarray:\\n filtered = self.filter(img)\\n\\n # Detect edges\\n edges = cv2.Canny(np.uint8(filtered * 255), self.canny_lo, self.canny_hi)\\n\\n # Obtain the gradients for filtering.\\n # We only require local gradients, so obtaining them only when required would make sense.\\n dx = cv2.Scharr(filtered, cv2.CV_32F, 1, 0)\\n dy = cv2.Scharr(filtered, cv2.CV_32F, 0, 1)\\n\\n # Now the stroke width transform already detects lo-hi-lo edges for us, but it is an extremely slow\\n # implementation I did.\\n if self._stroke_filter:\\n gradients = (dx, dy)\\n for y in range(0, edges.shape[0]):\\n for x in range(0, edges.shape[1]):\\n if edges[y, x] == 0:\\n continue\\n ray = swt_process_pixel((x, y), edges, gradients, min_length=5, max_length=20)\\n if ray is None:\\n edges[y, x] = 0\\n else:\\n edges = non_line_suppression(filtered, edges, dx, dy)\\n\\n if self._morphological_filtering:\\n edges = cv2.morphologyEx(edges, cv2.MORPH_BLACKHAT, np.ones(shape=(5, 5)))\\n edges = cv2.medianBlur(edges, 3)\\n\\n if self.detect_lines:\\n lines = cv2.HoughLinesP(edges, 1, np.pi / 90, self.hough_line_support,\\n minLineLength=self.hough_line_length, maxLineGap=self.hough_line_gap)\\n edge_lines = np.zeros_like(edges)\\n if lines is None:\\n return edge_lines\\n for line in lines:\\n x1, y1, x2, y2 = line[0]\\n cv2.line(edge_lines, (x1, y1), (x2, y2), 255, 2)\\n else:\\n edge_lines = edges\\n\\n return edge_lines\",\n \"def harris_corner_detector(img, image_name):\\n x_len = img.shape[0]\\n y_len = img.shape[1]\\n\\n horizontal_sobel_filter = np.array([[1, 2, 1],\\n [0, 0, 0],\\n [-1, -2, -1]])\\n\\n vertical_sobel_filter = np.array([[-1, 0, 1],\\n [-2, 0, 2],\\n [-1, 0, 1]])\\n\\n # Compute edge strength of pixels in image\\n gx = MyConvolve(img, horizontal_sobel_filter) \\n gy = MyConvolve(img, vertical_sobel_filter)\\n\\n # Compute product of derivatives\\n I_xx = gx * gx\\n I_xy = gx * gy\\n I_yy = gy * gy\\n\\n # Define Gaussian kernel\\n kernel = gauss_kernels(3)\\n \\n # Convolve product of derivatives (I_xx, I_xy, I_yy)\\n W_xx = MyConvolve(I_xx, kernel)\\n W_xy = MyConvolve(I_xy, kernel)\\n W_yy = MyConvolve(I_yy, kernel)\\n\\n # Initialise response matrix\\n response = np.zeros(img.shape)\\n\\n # Compute response for pixels that will be taken into consideration\\n for x in range(1, x_len - 1):\\n for y in range(1, y_len - 1):\\n w = np.array([[W_xx[x, y], W_xy[x, y]],\\n [W_xy[x, y], W_yy[x, y]]])\\n det_W = np.linalg.det(w)\\n trace_W = np.trace(w)\\n response[x, y] = det_W - 0.06 * trace_W * trace_W\\n\\n # Get max response from response matrix \\n max_r = np.max(response) \\n\\n # Initialise lists for x, y coordinates\\n x_list = []\\n y_list = []\\n\\n # Select response values within 10% of maximum response\\n for x in range(1, x_len - 1):\\n for y in range(1, y_len - 1):\\n if response[x, y] >= (max_r * 0.1) and response[x, y] <= (max_r * 1.9):\\n x_list.append(x)\\n y_list.append(y)\\n\\n # Plot selected response values on image\\n plt.figure()\\n plt.imshow(img, cmap='gray')\\n plt.scatter(y_list, x_list, edgecolors='blue', facecolors='none', s=81, marker='s')\\n plt.savefig(image_name + '_corners.jpg')\",\n \"def explore_data():\\n labels = [\\\"vehicles\\\", \\\"non-vehicles\\\"]\\n labelmap = {0: \\\"vehicles\\\", 1: \\\"non-vehicles\\\"}\\n vehicles_glob = os.path.join(data_dir, \\\"vehicles\\\", \\\"**\\\", \\\"*.png\\\")\\n nonvehicles_glob = os.path.join(data_dir, \\\"non-vehicles\\\", \\\"**\\\", \\\"*.png\\\")\\n class_fnames = [\\n glob.glob(vehicles_glob, recursive = True),\\n glob.glob(nonvehicles_glob, recursive = True)]\\n n_samples = [len(fnames) for fnames in class_fnames]\\n shapes = []\\n samples = []\\n print(table_format([\\\"label\\\", \\\"size\\\", \\\"shape\\\"], header = True))\\n for label, fnames in enumerate(class_fnames):\\n indices = np.random.choice(len(fnames), 4*10, replace = False)\\n for i in indices:\\n fname = fnames[i]\\n img = cv2.imread(fname)\\n samples.append(img)\\n shape = img.shape\\n shapes.append(shape)\\n print(table_format([labels[label], n_samples[label], shapes[label]]))\\n\\n samples = np.stack(samples)\\n samples = tile(samples, 2*4, 10)\\n cv2.imwrite(os.path.join(out_dir, \\\"datasamples.png\\\"), samples)\\n\\n return class_fnames, labelmap\",\n \"def cartoonise(picture_name):\\n raw_img = picture_name\\n out_img = './result/silhouetters_0.jpg'\\n num_down = 2 # Reduce the number of pixel samples\\n num_bilateral = 7 # Define the number of bilateral filters\\n img_rgb = cv2.imread(raw_img) # read img\\n # Lower sampling with gaussian pyramid\\n img_color = img_rgb\\n for _ in range(num_down):\\n img_color = cv2.pyrDown(img_color)\\n # Replace a large filter with a small bilateral filter\\n for _ in range(num_bilateral):\\n img_color = cv2.bilateralFilter(\\n img_color, d=9, sigmaColor=9, sigmaSpace=7)\\n # Lift sampled image to original size\\n for _ in range(num_down):\\n img_color = cv2.pyrUp(img_color)\\n # Convert to grayscale and give it a medium blur\\n img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_RGB2GRAY)\\n img_blur = cv2.medianBlur(img_gray, 7)\\n # Detect edges and enhance them\\n img_edge = cv2.adaptiveThreshold(img_blur, 255,\\n cv2.ADAPTIVE_THRESH_MEAN_C,\\n cv2.THRESH_BINARY,\\n blockSize=9,\\n C=2)\\n # Convert back to color image\\n img_edge = cv2.cvtColor(img_edge, cv2.COLOR_GRAY2RGB)\\n img_cartoon = cv2.bitwise_and(img_color, img_edge)\\n # Save the converted image\\n cv2.imwrite(out_img, img_cartoon)\",\n \"def scan_images(images, clf, first_index, vstep=15, hstep=15, dnum=5):\\n detections = []\\n for i in tqdm(range(len(images))):\\n labels = find_faces(util.img_as_float(rgb2gray(images[i])), clf, first_index + i,\\n vstep, hstep, dnum)\\n for label in labels:\\n detections.append(label)\\n return np.array(detections)\",\n \"def locate_tracker(self, debug):\\n\\n # tmp_image =\\n # tmp_image = cv2.GaussianBlur(self.frame, (11, 11), 0) # Experiment with this\\n\\n hsv = cv2.cvtColor(self.frame, cv2.COLOR_BGR2HSV) # Convert to HSV Color Space. This is temporary for testing using colored objects)\\n\\n mask = cv2.inRange(hsv, self.hueLower, self.hueUpper)\\n\\n try:\\n mask = cv2.inRange(hsv, self.hueLower2, self.hueUpper2) + mask\\n except AttributeError:\\n pass\\n\\n mask = cv2.erode(mask, None, iterations=2)\\n mask = cv2.dilate(mask, None, iterations=2)\\n\\n if debug:\\n tmpMask = imutils.resize(mask, width=1000, height=1000)\\n cv2.imshow(\\\"mask\\\", tmpMask)\\n\\n\\n # find contours in the mask and initialize the current (x, y) center of the object\\n cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]\\n center = None\\n\\n # only proceed if at least one contour was found\\n if len(cnts) > 0:\\n # find the largest contour in the mask, then use\\n # it to compute the minimum enclosing circle and\\n # centroid\\n c = max(cnts, key=cv2.contourArea)\\n\\n ((x, y), radius) = cv2.minEnclosingCircle(c)\\n M = cv2.moments(c)\\n center = (int(M[\\\"m10\\\"] / M[\\\"m00\\\"]), int(M[\\\"m01\\\"] / M[\\\"m00\\\"]))\\n\\n # only proceed if the radius meets a minimum size\\n # if radius > 10:\\n # # draw the circle and centroid on the frame,\\n # # then update the list of tracked points\\n # cv2.circle(frame, (int(x), int(y)), int(radius),\\n # (0, 255, 255), 2)\\n # cv2.circle(frame, center, 5, (0, 0, 255), -1)\\n if debug:\\n cv2.drawContours(self.frame, c, -1, (0, 255, 0), 20)\\n return center, radius\\n # update the points queue\\n cv2.imshow(\\\"mask\\\", imutils.resize(mask, width=1000, height=1000))\\n cv2.imshow(\\\"frame\\\", imutils.resize(self.frame, width=1000, height=1000))\\n cv2.waitKey(0)\\n cv2.destroyAllWindows()\\n raise OpenCVError(\\\"Could not find tracker!\\\")\\n\\n # return (1, 1), 1\",\n \"def belt(image):\\n\\n # Belt Detector\\n x, y = circular_detector(image, 70, 80)\\n\\n return x, y\",\n \"def filter_images(self, images):\\n status = self.day_or_night(images[0][1],\\n self.gray_refs['day'][0],\\n self.gray_refs['night'][0])\\n print status\\n exclusions = self.gray_refs[status]\\n threshold = 0.7\\n last_ref = None\\n result = []\\n\\n for filename, gray_img, raw_img in images:\\n skip = False\\n if last_ref:\\n dist = ssim(gray_img, exclusions[last_ref], multichannel=False)\\n if dist > threshold:\\n skip = True\\n\\n if not skip:\\n for i, gray_ref in enumerate(exclusions):\\n if i == last_ref:\\n continue\\n dist = ssim(gray_img, gray_ref, multichannel=False)\\n if dist > threshold:\\n skip = True\\n last_ref = i\\n break\\n\\n if not skip:\\n if (time.time() - self.last_notify) > notify_thresh:\\n send_alert('Alert! Motion detected near front door.')\\n self.last_notify = time.time()\\n result.append((filename, gray_img, raw_img))\\n return result\",\n \"def detectState(self, colorImage):\\n\\n self.image = colorImage;\\n self.video = Video()\\n\\n # find the intersections of the hough lines\\n self.intersects = self._findIntersects()\\n\\n # Use previoulsy acquired data to create a board, that is, a dictionary of cells [Cell Class]\\n self._divideInCells()\\n\\n return self.board, self.image\",\n \"def detect_and_draw_as_marker(self, image):\\r\\n # Required variables\\r\\n count = 0\\r\\n # convert to HSV.. so that we can filter out the image from our captured HSV values for our markers previously..\\r\\n HSVimg = cv2.cvtColor(src=image, code=cv2.COLOR_BGR2HSV)\\r\\n # loop through all marker's HSV values\\r\\n for marker_HSV in self.markers_HSV:\\r\\n lower_boundary = np.array(marker_HSV[0])\\r\\n upper_boundary = np.array(marker_HSV[1])\\r\\n # Get the mask image that satisfies the lower and upper HSV values..\\r\\n maskImg = cv2.inRange(src=HSVimg, lowerb=lower_boundary, upperb=upper_boundary)\\r\\n\\r\\n '''Draw the contours for the mask image detected, marker point for the marker'''\\r\\n # Get the bounding box corners (In the function call to self.draw_contours(), contours are drawn to original camera feed, if self.debug_mode is set to 1)\\r\\n x, y, width, height = self.draw_contours(image, maskImg)\\r\\n if self.debug_mode:\\r\\n cv2.rectangle(img=image, pt1=(x, y), pt2=(x + width, y + height), color=(255, 0, 255), thickness=3)\\r\\n # Select the marker point..\\r\\n marker_point_center = (x + width // 2, y)\\r\\n # Draw the marker point..\\r\\n # cv2.circle(img=image, center=marker_point_center, radius=5, color=(2, 255, 10), thickness=cv2.FILLED)\\r\\n cv2.circle(img=image, center=marker_point_center, radius=5, color=list(self.marker_colors[count]), thickness=cv2.FILLED)\\r\\n\\r\\n # Append the trace point of marker..\\r\\n self.marker_path_points.append([marker_point_center, count])\\r\\n #print(count, end=\\\"\\\\n\\\")\\r\\n count += 1\",\n \"def detect(frame: numpy.ndarray) -> bool:\\n color = frame[:20, 1100:1150].mean(axis=(0, 1))\\n return numpy.linalg.norm(color - BG_COLOR) < 5\",\n \"def get_centers(file_path = \\\"./data/input.jpeg\\\", n_rows=10, n_cols=10, verbose=False, image_thresh=20, hough_thresh=20, minDist=20, maxRadius=20):\\n print(\\\"looking for circles in the image\\\")\\n cimg = cv2.imread(file_path, 1)\\n gimg = cv2.cvtColor(cimg, cv2.COLOR_BGR2GRAY)\\n gimg = cv2.medianBlur(gimg, 5)\\n # threshold the image for better circle finding\\n _, gimg = cv2.threshold(gimg, image_thresh, 255, cv2.THRESH_BINARY)\\n\\n\\n # find circles on the image\\n circles = cv2.HoughCircles(gimg, cv2.HOUGH_GRADIENT, dp=1, minDist=minDist, param1=1, param2=hough_thresh, minRadius=5,\\n maxRadius=maxRadius)\\n\\n # re-sequence the circles found\\n circles = circles[0, :, :].reshape((-1, 3))\\n x_min = circles.min(axis=0)[0]\\n x_max = circles.max(axis=0)[0]\\n avg_spacing = (x_max - x_min) / (n_cols - 1)\\n x_segment = [x_min - avg_spacing / 2 + avg_spacing * i for i in range(11)]\\n def get_col_id(point):\\n # return which col this point sits\\n x = point[0]\\n for i in range(n_cols):\\n if x_segment[i] < x < x_segment[i + 1]:\\n return i\\n cols = [[] for i in range(n_cols)]\\n for circle in circles:\\n id = get_col_id(circle)\\n cols[get_col_id(circle)].append(circle)\\n for i, col in enumerate(cols):\\n cols[i] = list(sorted(col, key=lambda p:p[1]))\\n grid = np.zeros((n_rows, n_cols, 3))\\n for c in range(n_cols):\\n for r in range(n_rows):\\n grid[r, c, :] = cols[c][r]\\n\\n # plot theses circles to make sure the sequence is correct\\n gaussian_img = cv2.GaussianBlur(cv2.cvtColor(cimg, cv2.COLOR_BGR2GRAY), (5, 5), 0)\\n for c in range(10):\\n for r in range(10):\\n pos = grid[r, c, :2].astype(np.int)\\n radius = grid[r, c, 2].astype(np.int)\\n # draw the outer circle\\n cv2.circle(cimg, (pos[0], pos[1]), radius, (0, 255, 0), 2)\\n # draw the center of the circle\\n cv2.circle(cimg, (pos[0], pos[1]), 2, (0, 0, 255), 3)\\n # find the avg intensity at each center\\n grid[r, c, 2] = gaussian_img[pos[1], pos[0]]\\n if verbose:\\n cv2.imshow('circles found in the image', cimg)\\n cv2.waitKey(10)\\n\\n if verbose:\\n cv2.imshow('circles found in the image', cimg)\\n cv2.waitKey(0)\\n cv2.destroyAllWindows()\\n\\n return grid\",\n \"def guess_image(which_cam, image, ntraps):\\n threshes = [0.5, 0.65]\\n ## Image Conditioning ##\\n margin = 10\\n threshold = np.max(image)*threshes[which_cam]\\n im = image.transpose()\\n\\n x_len = len(im)\\n peak_locs = np.zeros(x_len)\\n peak_vals = np.zeros(x_len)\\n\\n ## Trap Peak Detection ##\\n for i in range(x_len):\\n if i < margin or x_len - i < margin:\\n peak_locs[i] = 0\\n peak_vals[i] = 0\\n else:\\n peak_locs[i] = np.argmax(im[i])\\n peak_vals[i] = max(im[i])\\n\\n ## Trap Range Detection ##\\n first = True\\n pos_first, pos_last = 0, 0\\n left_pos = 0\\n for i, p in enumerate(peak_vals):\\n if p > threshold:\\n left_pos = i\\n elif p < threshold and left_pos != 0:\\n if first:\\n pos_first = (left_pos + i) // 2\\n first = False\\n pos_last = (left_pos + i) // 2\\n left_pos = 0\\n\\n ## Separation Value ##\\n separation = (pos_last - pos_first) / ntraps # In Pixels\\n\\n ## Initial Guesses ##\\n means0 = np.linspace(pos_first, pos_last, ntraps).tolist()\\n waists0 = (separation * np.ones(ntraps) / 2).tolist()\\n ampls0 = (max(peak_vals) * 0.7 * np.ones(ntraps)).tolist()\\n _params0 = [means0, waists0, ampls0, [0.06]]\\n params0 = [item for sublist in _params0 for item in sublist]\\n\\n xdata = np.arange(x_len)\\n plt.figure()\\n plt.plot(xdata, peak_vals)\\n plt.plot(xdata, wrapper_fit_func(xdata, ntraps, params0), '--r') # Initial Guess\\n plt.xlim((pos_first - margin, pos_last + margin))\\n plt.legend([\\\"Data\\\", \\\"Guess\\\", \\\"Fit\\\"])\\n plt.show(block=False)\",\n \"def detectBall():\\n\\t\\n\\tglobal np_arr\\n\\timage_np = cv2.imdecode(np_arr, cv2.IMREAD_COLOR) # OpenCV >= 3.0:\\n\\n\\tblackLower = (0, 0, 0) \\n\\tblackUpper = (5,50,50)\\n\\tredLower = (0, 50, 50)\\n\\tredUpper = (5, 255, 255)\\n\\tyellowLower = (25, 50, 50) \\n\\tyellowUpper = (35, 255, 255)\\n\\tgreenLower = (50, 50, 50) \\n\\tgreenUpper = (70, 255, 255)\\n\\tblueLower = (100, 50, 50) \\n\\tblueUpper = (130, 255, 255)\\n\\tmagentaLower = (125, 50, 50) \\n\\tmagentaUpper = (150, 255, 255)\\n\\n blurred = cv2.GaussianBlur(image_np, (11, 11), 0)\\n hsv = cv2.cvtColor(blurred, cv2.COLOR_BGR2HSV)\\n\\n\\tmask_blk = cv2.inRange(hsv, blackLower, blackUpper)\\n mask_blk = cv2.erode(mask_blk, None, iterations=2)\\n mask_blk = cv2.dilate(mask_blk, None, iterations=2)\\n\\n\\tmask_r = cv2.inRange(hsv, redLower, redUpper)\\n mask_r = cv2.erode(mask_r, None, iterations=2)\\n mask_r = cv2.dilate(mask_r, None, iterations=2)\\n\\n\\tmask_y = cv2.inRange(hsv, yellowLower, yellowUpper)\\n mask_y = cv2.erode(mask_y, None, iterations=2)\\n mask_y = cv2.dilate(mask_y, None, iterations=2)\\n\\n\\tmask_g = cv2.inRange(hsv, greenLower, greenUpper)\\n mask_g = cv2.erode(mask_g, None, iterations=2)\\n mask_g = cv2.dilate(mask_g, None, iterations=2)\\n\\n mask_blu = cv2.inRange(hsv, blueLower, blueUpper)\\n mask_blu = cv2.erode(mask_blu, None, iterations=2)\\n mask_blu = cv2.dilate(mask_blu, None, iterations=2)\\n\\n\\tmask_m = cv2.inRange(hsv, magentaLower, magentaUpper)\\n mask_m = cv2.erode(mask_m, None, iterations=2)\\n mask_m = cv2.dilate(mask_m, None, iterations=2)\\n #cv2.imshow('mask', mask)\\n\\n cnts_blk = cv2.findContours(mask_blk.copy(), cv2.RETR_EXTERNAL,\\n cv2.CHAIN_APPROX_SIMPLE)\\n\\tcnts_r = cv2.findContours(mask_r.copy(), cv2.RETR_EXTERNAL,\\n cv2.CHAIN_APPROX_SIMPLE)\\n\\tcnts_y = cv2.findContours(mask_y.copy(), cv2.RETR_EXTERNAL,\\n cv2.CHAIN_APPROX_SIMPLE)\\n\\tcnts_g = cv2.findContours(mask_g.copy(), cv2.RETR_EXTERNAL,\\n cv2.CHAIN_APPROX_SIMPLE)\\n\\tcnts_blu = cv2.findContours(mask_blu.copy(), cv2.RETR_EXTERNAL,\\n cv2.CHAIN_APPROX_SIMPLE)\\n\\tcnts_m = cv2.findContours(mask_m.copy(), cv2.RETR_EXTERNAL,\\n cv2.CHAIN_APPROX_SIMPLE)\\n\\n cnts_blk = imutils.grab_contours(cnts_blk)\\n\\tcnts_r = imutils.grab_contours(cnts_r)\\n\\tcnts_y = imutils.grab_contours(cnts_y)\\n\\tcnts_g = imutils.grab_contours(cnts_g)\\n\\tcnts_blu = imutils.grab_contours(cnts_blu)\\n\\tcnts_m = imutils.grab_contours(cnts_m)\\n\\n center = None\\n\\tc = 0\\n\\tradius = 0\\n\\n\\tglobal black_ball, red_ball, yellow_ball, green_ball, blue_ball, magenta_ball\\n\\n # only proceed if at least one contour was found\\n if len(cnts_blk) > 0 and black_ball.detected_flag != True:\\n c = max(cnts_blk, key=cv2.contourArea)\\n\\t ((x, y), radius) = cv2.minEnclosingCircle(c)\\n\\t M = cv2.moments(c)\\n\\t center = (int(M[\\\"m10\\\"] / M[\\\"m00\\\"]), int(M[\\\"m01\\\"] / M[\\\"m00\\\"]))\\n\\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\\n\\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\\n\\t black_ball = track(radius, center, black_ball)\\n\\t pub_blackBall.publish(black_ball)\\n\\t print (\\\"Black ball detected.\\\\n\\\")\\n\\n\\telif len(cnts_r) > 0 and red_ball.detected_flag != True:\\n c = max(cnts_r, key=cv2.contourArea)\\n\\t ((x, y), radius) = cv2.minEnclosingCircle(c)\\n\\t M = cv2.moments(c)\\n\\t center = (int(M[\\\"m10\\\"] / M[\\\"m00\\\"]), int(M[\\\"m01\\\"] / M[\\\"m00\\\"]))\\n\\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\\n\\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\\n\\t red_ball = track(radius, center, red_ball)\\n\\t pub_redBall.publish(red_ball)\\n\\t print (\\\"Red ball detected.\\\\n\\\")\\n\\t \\n\\telif len(cnts_y) > 0 and yellow_ball.detected_flag != True:\\n c = max(cnts_y, key=cv2.contourArea)\\n\\t ((x, y), radius) = cv2.minEnclosingCircle(c)\\n\\t M = cv2.moments(c)\\n\\t center = (int(M[\\\"m10\\\"] / M[\\\"m00\\\"]), int(M[\\\"m01\\\"] / M[\\\"m00\\\"]))\\n\\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\\n\\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\\n\\t yellow_ball = track(radius, center, yellow_ball)\\n\\t pub_yellowBall.publish(yellow_ball)\\n\\t print (\\\"Yellow ball detected.\\\\n\\\")\\n\\n\\telif len(cnts_g) > 0 and green_ball.detected_flag != True:\\n c = max(cnts_g, key=cv2.contourArea)\\n\\t ((x, y), radius) = cv2.minEnclosingCircle(c)\\n\\t M = cv2.moments(c)\\n\\t center = (int(M[\\\"m10\\\"] / M[\\\"m00\\\"]), int(M[\\\"m01\\\"] / M[\\\"m00\\\"]))\\n\\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\\n\\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\\n\\t green_ball = track(radius, center, green_ball)\\n\\t pub_greenBall.publish(green_ball)\\n\\t print (\\\"Green ball detected.\\\\n\\\")\\n\\n\\telif len(cnts_blu) > 0 and blue_ball.detected_flag != True:\\n c = max(cnts_blu, key=cv2.contourArea)\\n\\t ((x, y), radius) = cv2.minEnclosingCircle(c)\\n\\t M = cv2.moments(c)\\n\\t center = (int(M[\\\"m10\\\"] / M[\\\"m00\\\"]), int(M[\\\"m01\\\"] / M[\\\"m00\\\"]))\\n\\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\\n\\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\\n\\t blue_ball = track(radius, center, blue_ball)\\n\\t pub_blueBall.publish(blue_ball)\\n\\t print (\\\"Blue ball detected.\\\\n\\\")\\n\\n\\telif len(cnts_m) > 0 and magenta_ball.detected_flag != True:\\n c = max(cnts_m, key=cv2.contourArea)\\n\\t ((x, y), radius) = cv2.minEnclosingCircle(c)\\n\\t M = cv2.moments(c)\\n\\t center = (int(M[\\\"m10\\\"] / M[\\\"m00\\\"]), int(M[\\\"m01\\\"] / M[\\\"m00\\\"]))\\n\\t cv2.circle(image_np, (int(x), int(y)), int(radius), (0, 255, 255), 2)\\n\\t cv2.circle(image_np, center, 5, (0, 0, 255), -1)\\n\\t magenta_ball = track(radius, center, magenta_ball)\\n\\t pub_magentaBall.publish(magenta_ball)\\n\\t print (\\\"Magenta ball detected.\\\\n\\\")\\n\\n\\tcv2.imshow('window', image_np)\\n\\tcv2.waitKey(2)\\n\\tc = 0\",\n \"def vis_detections(im, class_name, dets, image_name, thresh=0.5):\\n inds = np.where(dets[:, -1] >= thresh)[0]\\n max_inds = 0\\n max_score = 0.0\\n if len(inds) == 0:\\n # print('Warning: no target detected!')\\n return\\n elif len(inds) > 1:\\n # print('Warning: ' + str(len(inds)) + ' targets detected! Choose the highest one')\\n for i in inds:\\n if(dets[i, -1] > max_score):\\n max_inds = i\\n max_score = dets[i, -1]\\n\\n# im = im[:, :, (2, 1, 0)]\\n# fig, ax = plt.subplots(figsize=(12, 12))\\n# ax.imshow(im, aspect='equal')\\n # for i in inds:\\n # bbox = dets[i, :4]\\n # score = dets[i, -1]\\n #print max_inds\\n bbox = dets[max_inds, :4]\\n score = dets[max_inds, -1]\\n\\n# ax.add_patch(\\n# plt.Rectangle((bbox[0], bbox[1]),\\n# bbox[2] - bbox[0],\\n# bbox[3] - bbox[1], fill=False,\\n# edgecolor='red', linewidth=3.5)\\n# )\\n# ax.text(bbox[0], bbox[1] - 2,\\n# '{:s} {:.3f}'.format(class_name, score),\\n# bbox=dict(facecolor='blue', alpha=0.5),\\n# fontsize=14, color='white')\\n\\n # end for\\n #print image_name, class_name\\n #print score\\n # file.writelines([image_name,'\\\\t',class_name,'\\\\t',str(score),'\\\\n'])\\n # ax.set_title(('{} detections with '\\n # 'p({} | box) >= {:.1f}').format(class_name, class_name,\\n # thresh),fontsize=14)\\n # plt.axis('off')\\n # plt.tight_layout()\\n # plt.draw()\\n\\t### SAVE IMAGES ? ###\\n save_img_dir = os.path.join(cfg.ROOT_DIR, 'result', 'test_img')\\n # if not os.path.exists(save_img_dir):\\n # os.makedirs(save_img_dir)\\n # plt.savefig(os.path.join(save_img_dir, image_name + '_' + class_name))\\n\\n boxes = {'boxes': ((bbox[0], bbox[1]), bbox[2] - bbox[0], bbox[3] - bbox[1])}\\n \\n save_mat_dir = os.path.join(cfg.ROOT_DIR, 'result', 'test_box')\",\n \"def main():\\n print(\\\"Program version: 1.5\\\")\\n StartTime = datetime.now()\\n args = parseArguments()\\n\\n verbose = args.verbose\\n images = args.images\\n ignore_warnings = args.ignore_warnings\\n if(args.silent):\\n verbose = False\\n images = False\\n ignore_warnings = True\\n\\n if(args.images):\\n plt.ioff()\\n\\n if(args.ignore_warnings):\\n warnings.simplefilter('ignore', UserWarning)\\n\\n #sample header keywords\\n # OBJECT = 'P016+03_P1_JKdeep' / Original target\\n # RA = ' 01:06:37.759' / 01:06:37.7 RA (J2000) pointing\\n # DEC = ' 03:32:36.096' / 03:32:36.0 DEC (J2000) pointing\\n # EQUINOX = 2000. / Standard FK5 (years)\\n # RADECSYS= 'FK5 ' / Coordinate reference frame\\n # CRVAL1 = 16.65733 / 01:06:37.7, RA at ref pixel\\n # CRVAL2 = 3.54336 / 03:32:36.0, DEC at ref pixel\\n # CRPIX1 = 447. /Ref pixel in X\\n # CRPIX2 = 452. / Ref pixel in Y\\n # CDELT1 = -8.0000000000000E-5 / SS arcsec per pixel in RA\\n # CDELT2 = 8.00000000000003E-5 / SS arcsec per pixel in DEC\\n # CTYPE1 = 'RA---TAN' / pixel coordinate system\\n # CTYPE2 = 'DEC--TAN' / pixel coordinate system\\n # PC1_1 = 0.000000 / Translation matrix element\\n # PC1_2 = 1.000000 / Translation matrix element\\n # PC2_1 = -1.000000 / Translation matrix element\\n # PC2_2 = 0.000000 / Translation matrix element\\n\\n fits_image_filenames = args.input\\n\\n #if directory given search for appropriate fits files\\n\\n if(os.path.isdir(fits_image_filenames[0])):\\n print(\\\"detected a directory. Will search for fits files in it\\\")\\n path = fits_image_filenames[0]\\n fits_image_filenames = []\\n for file in os.listdir(path):\\n if file.endswith(\\\".fits\\\") and \\\"_astro\\\" not in file:\\n fits_image_filenames.append(path+\\\"/\\\"+file)\\n print(fits_image_filenames)\\n\\n multiple = False\\n if(len(fits_image_filenames)>1):\\n multiple = True\\n not_converged = []\\n converged_counter = 0\\n for fits_image_filename in fits_image_filenames:\\n\\n result,_ = astrometry_script(fits_image_filename, catalog=args.catalog, rotation_scaling=0, xy_transformation=args.xy_transformation, fine_transformation=args.fine_transformation,\\n images=images, vignette=args.vignette,vignette_rectangular=args.vignette_rectangular, cutouts=args.cutout, ra=args.ra, dec=args.dec, projection_ra=args.projection_ra, projection_dec=args.projection_dec, verbose=verbose, save_images=args.save_images, ignore_header_rot=args.ignore_header_rot, radius = args.radius, save_bad_result=args.save_bad_result, silent =args.silent, sigma_threshold_for_source_detection= args.sigma_threshold_for_source_detection, high_res=args.high_resolution, hdul_idx=args.hdul_idx, filename_for_sources=args.filename_for_sources, FWHM=args.seeing)\\n\\n if((not result) and args.rotation_scaling):\\n print(\\\"Did not converge. Will try again with full rotation and scaling\\\")\\n result, _ = astrometry_script(fits_image_filename, catalog=args.catalog, rotation_scaling=args.rotation_scaling, xy_transformation=args.xy_transformation, fine_transformation=args.fine_transformation,\\n images=images, vignette=args.vignette,vignette_rectangular=args.vignette_rectangular, cutouts=args.cutout, ra=args.ra, dec=args.dec, projection_ra=args.projection_ra, projection_dec=args.projection_dec, verbose=verbose, save_images=args.save_images, ignore_header_rot=args.ignore_header_rot, radius = args.radius, save_bad_result=args.save_bad_result, silent=args.silent, sigma_threshold_for_source_detection=args.sigma_threshold_for_source_detection, high_res=args.high_resolution, hdul_idx=args.hdul_idx, filename_for_sources=args.filename_for_sources, FWHM=args.seeing)\\n\\n if(result):\\n print(\\\"Astrometry was determined to be good.\\\")\\n converged_counter = converged_counter+1\\n else:\\n print(\\\"Astrometry was determined to be bad.\\\")\\n not_converged.append(fits_image_filename)\\n if(args.save_bad_result):\\n print(\\\"Result was saved anyway\\\")\\n else:\\n print(\\\"Result was not saved.\\\")\\n # print(\\\"\\\")\\n # print(\\\">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>\\\")\\n # print(\\\"> Astrometry for {} \\\".format(fits_image_filename))\\n #\\n # with fits.open(fits_image_filename) as hdul:\\n # #print(hdul.info())\\n # if(args.verbose):\\n # print(\\\"if image is not at first position in the fits file the program will break later on\\\")\\n # #print(hdul[0].header)\\n #\\n # hdu = hdul[0]\\n # #hdu.verify('fix')\\n # hdr = hdu.header\\n #\\n #\\n # image_or = hdul[0].data.astype(float)\\n # median = np.nanmedian(image_or)\\n # image_or[np.isnan(image_or)]=median\\n # image = image_or - median\\n #\\n # observation = find_sources(image, args.vignette)\\n # #print(observation)\\n #\\n # positions = (observation['xcenter'], observation['ycenter'])\\n # apertures = CircularAperture(positions, r=4.)\\n #\\n #\\n # #world coordinates\\n # print(\\\">Info found in the file -- (CRVAl: position of central pixel (CRPIX) on the sky)\\\")\\n # print(WCS(hdr))\\n #\\n # hdr[\\\"NAXIS1\\\"] = image.shape[0]\\n # hdr[\\\"NAXIS2\\\"] = image.shape[1]\\n #\\n # #wcsprm = Wcsprm(hdr.tostring().encode('utf-8')) #everything else gave me errors with python 3, seemed to make problems with pc conversios, so i wwitched to the form below\\n # wcsprm = WCS(hdr).wcs\\n # wcsprm_original = WCS(hdr).wcs\\n # if(args.verbose):\\n # print(WCS(wcsprm.to_header()))\\n # wcsprm, fov_radius, INCREASE_FOV_FLAG, PIXSCALE_UNCLEAR = read_additional_info_from_header(wcsprm, hdr, args.ra, args.dec, args.projection_ra, args.projection_dec)\\n # if(args.verbose):\\n # print(WCS(wcsprm.to_header()))\\n #\\n # #print(wcsprm)\\n # #wcsprm.pc = [[2, 0],[0,1]]\\n #\\n #\\n # #Possibly usefull examples of how to use wcsprm:\\n # #print(wcsprm.set())\\n # #print(wcsprm.get_pc())\\n # #pc = wcsprm.get_pc()\\n # #print(np.linalg.det(pc))\\n # #print(wcsprm.get_cdelt())\\n # #wcs.fix()\\n # #print(wcsprm.print_contents())\\n # #print(repr(hdr.update(wcsprm.to_header().encode('utf-8')))) #not working\\n #\\n # #hdu.verify(\\\"fix\\\")\\n # #print(repr(hdr))\\n # #wcs.wcs_pix2world(pixcrd, 1)\\n # #wcs.wcs_world2pix(world, 1)\\n # #wcs.wcs.crpix = [-234.75, 8.3393]\\n # # wcs.wcs.cdelt = np.array([-0.066667, 0.066667])\\n # # wcs.wcs.crval = [0, -90]\\n # # wcs.wcs.ctype = [\\\"RA---AIR\\\", \\\"DEC--AIR\\\"]\\n # # wcs.wcs.set_pv([(2, 1, 45.0)])\\n # # For historical compatibility, three alternate specifications of the linear transformations\\n # # are available in wcslib. The canonical PCi_ja with CDELTia, CDi_ja, and the deprecated CROTAia\\n # # keywords. Although the latter may not formally co-exist with PCi_ja,\\n # # the approach here is simply to ignore them if given in conjunction with PCi_ja.\\n # # has_pc, has_cd and has_crota can be used to determine which of these alternatives are present in the header.\\n # # These alternate specifications of the linear transformation matrix are translated immediately to PCi_ja by set\\n # # and are nowhere visible to the lower-level routines. In particular, set resets cdelt to unity if CDi_ja is present\\n # # (and no PCi_ja). If no CROTAia is associated with the latitude axis, set reverts to a unity PCi_ja matrix.\\n #\\n #\\n #\\n #\\n #\\n # #get rough coordinates\\n # #print(hdr[\\\"RA\\\"])\\n # #coord = SkyCoord(hdr[\\\"RA\\\"], hdr[\\\"DEC\\\"], unit=(u.hourangle, u.deg), frame=\\\"icrs\\\")\\n # coord = SkyCoord(wcsprm.crval[0], wcsprm.crval[1], unit=(u.deg, u.deg), frame=\\\"icrs\\\")\\n # if(not PIXSCALE_UNCLEAR):\\n # if(wcsprm.crpix[0] < 0 or wcsprm.crpix[1] < 0 or wcsprm.crpix[0] > image.shape[0] or wcsprm.crpix[1] > image.shape[1] ):\\n # print(\\\"central value outside of the image, moving it to the center\\\")\\n # coord_radec = wcsprm.p2s([[image.shape[0]/2, image.shape[1]/2]], 0)[\\\"world\\\"][0]\\n # coord = SkyCoord(coord_radec[0], coord_radec[1], unit=(u.deg, u.deg), frame=\\\"icrs\\\")\\n # #print(wcsprm)\\n #\\n #\\n #\\n # #better: put in nice wrapper! with repeated tries and maybe try synchron!\\n # print(\\\">Dowloading catalog data\\\")\\n # radius = u.Quantity(fov_radius, u.arcmin)#will prob need more\\n # catalog_data = query.get_data(coord, radius, args.catalog)\\n # #reference = reference.query(\\\"mag <20\\\")\\n # max_sources = 500\\n # if(INCREASE_FOV_FLAG):\\n # max_sources= max_sources*2.25 #1.5 times the radius, so 2.25 the area\\n # if(catalog_data.shape[0]>max_sources):\\n # catalog_data = catalog_data.nsmallest(400, \\\"mag\\\")\\n #\\n # if(args.catalog == \\\"GAIA\\\" and catalog_data.shape[0] < 5):\\n # print(\\\"GAIA seems to not have enough objects, will enhance with PS1\\\")\\n # catalog_data2 = query.get_data(coord, radius, \\\"PS\\\")\\n # catalog_data = pd.concat([catalog_data, catalog_data2])\\n # #apertures_catalog = CircularAperture(wcs.wcs_world2pix(catalog_data[[\\\"ra\\\", \\\"dec\\\"]], 1), r=5.)\\n # print(\\\"Now we have a total of {} sources. Keep in mind that there might be duplicates now since we combined 2 catalogs\\\".format(catalog_data.shape[0]))\\n # elif(args.catalog == \\\"PS\\\" and (catalog_data is None or catalog_data.shape[0] < 5)):\\n # print(\\\"We seem to be outside the PS footprint, enhance with GAIA data\\\")\\n # catalog_data2 = query.get_data(coord, radius, \\\"GAIA\\\")\\n # catalog_data = pd.concat([catalog_data, catalog_data2])\\n # #apertures_catalog = CircularAperture(wcs.wcs_world2pix(catalog_data[[\\\"ra\\\", \\\"dec\\\"]], 1), r=5.)\\n # print(\\\"Now we have a total of {} sources. Keep in mind that there might be duplicates now since we combined 2 catalogs\\\".format(catalog_data.shape[0]))\\n #\\n # #remove duplicates in catalog?\\n #\\n # apertures_catalog = CircularAperture(wcsprm.s2p(catalog_data[[\\\"ra\\\", \\\"dec\\\"]], 1)['pixcrd'], r=5.)\\n #\\n #\\n # #plotting what we have, I keep it in the detector field, world coordinates are more painfull to plot\\n # if(args.images):\\n # fig = plt.figure()\\n # fig.canvas.set_window_title('Input for {}'.format(fits_image_filename))\\n # plt.xlabel(\\\"pixel x direction\\\")\\n # plt.ylabel(\\\"pixel y direction\\\")\\n # plt.title(\\\"Input - red: catalog sources, blue: detected sources in img\\\")\\n # plt.imshow(image,cmap='Greys', origin='lower', norm=LogNorm())\\n # apertures.plot(color='blue', lw=1.5, alpha=0.5)\\n # apertures_catalog.plot(color='red', lw=1.5, alpha=0.5)\\n #\\n # plt.xlim(-200,image.shape[0]+200)\\n # plt.ylim(-200,image.shape[1]+200)\\n # if(args.save_images):\\n # name_parts = fits_image_filename.rsplit('.', 1)\\n # plt.savefig(name_parts[0]+\\\"_image_before.pdf\\\")\\n #\\n # ###tranforming to match the sources\\n # print(\\\"---------------------------------\\\")\\n # print(\\\">Finding the transformation\\\")\\n # if(args.rotation_scaling):\\n # print(\\\"Finding scaling and rotation\\\")\\n # wcsprm = register.get_scaling_and_rotation(observation, catalog_data, wcsprm, scale_guessed=PIXSCALE_UNCLEAR, verbose=args.verbose)\\n # if(args.xy_transformation):\\n # print(\\\"Finding offset\\\")\\n # wcsprm,_,_ = register.offset_with_orientation(observation, catalog_data, wcsprm, fast=False , INCREASE_FOV_FLAG=INCREASE_FOV_FLAG, verbose= args.verbose)\\n #\\n # #correct subpixel error\\n # obs_x, obs_y, cat_x, cat_y, distances = register.find_matches(observation, catalog_data, wcsprm, threshold=3)\\n # rms = np.sqrt(np.mean(np.square(distances)))\\n # best_score = len(obs_x)/(rms+10) #start with current best score\\n # fine_transformation = False\\n # if(args.fine_transformation):\\n # for i in [2,3,5,8,10,6,4, 20,2,1,0.5]:\\n # wcsprm_new, score = register.fine_transformation(observation, catalog_data, wcsprm, threshold=i)\\n # if(score> best_score):\\n # wcsprm = wcsprm_new\\n # best_score = score\\n # fine_transformation = True\\n # if not fine_transformation:\\n # print(\\\"Fine transformation did not improve result so will be discarded.\\\")\\n # else:\\n # print(\\\"Fine transformation applied to improve result\\\")\\n # #register.calculate_rms(observation, catalog_data,wcs)\\n #\\n # #make wcsprim more physical by moving scaling to cdelt, out of the pc matrix\\n # wcs =WCS(wcsprm.to_header())\\n # if(args.verbose):\\n # print(wcs)\\n #\\n # from astropy.wcs import utils\\n # scales = utils.proj_plane_pixel_scales(wcs)\\n # print(scales)\\n # cdelt = wcsprm.get_cdelt()\\n # print(cdelt)\\n # scale_ratio = scales/cdelt\\n # #print(scale_ratio)\\n # pc = np.array(wcsprm.get_pc())\\n # pc[0,0] = pc[0,0]/scale_ratio[0]\\n # pc[1,0] = pc[1,0]/scale_ratio[1]\\n # pc[0,1] = pc[0,1]/scale_ratio[0]\\n # pc[1,1] = pc[1,1]/scale_ratio[1]\\n # wcsprm.pc = pc\\n # wcsprm.cdelt = scales\\n # if(args.verbose):\\n # print(\\\"moved scaling info to CDelt\\\")\\n # print(WCS(wcsprm.to_header()))\\n #\\n # #WCS difference before and after\\n # print(\\\"> Compared to the input the Wcs was changed by: \\\")\\n # scales_original = utils.proj_plane_pixel_scales(WCS(hdr))\\n # print(\\\"WCS got scaled by {} in x direction and {} in y direction\\\".format(scales[0]/scales_original[0], scales[1]/scales_original[1]))\\n # #sources:\\n # #https://math.stackexchange.com/questions/2113634/comparing-two-rotation-matrices\\n # #https://stackoverflow.com/questions/2827393/angles-between-two-n-dimensional-vectors-in-python/13849249#13849249\\n # def unit_vector(vector):\\n # \\\"\\\"\\\" Returns the unit vector of the vector. \\\"\\\"\\\"\\n # return vector / max(np.linalg.norm(vector), 1e-10)\\n # def matrix_angle( B, A ):\\n # \\\"\\\"\\\" comment cos between vectors or matrices \\\"\\\"\\\"\\n # Aflat = A.reshape(-1)\\n # Aflat = unit_vector(Aflat)\\n # Bflat = B.reshape(-1)\\n # Bflat = unit_vector(Bflat)\\n # #return np.arccos((np.dot( Aflat, Bflat ) / max( np.linalg.norm(Aflat) * np.linalg.norm(Bflat), 1e-10 )))\\n # return np.arccos(np.clip(np.dot(Aflat, Bflat), -1.0, 1.0))\\n # #print(matrix_angle(wcsprm.get_pc(), wcsprm_original.get_pc()) /2/np.pi*360)\\n # rotation_angle = matrix_angle(wcsprm.get_pc(), wcsprm_original.get_pc()) /2/np.pi*360\\n # if((wcsprm.get_pc() @ wcsprm_original.get_pc() )[0,1] > 0):\\n # text = \\\"counterclockwise\\\"\\n # else:\\n # text = \\\"clockwise\\\"\\n # print(\\\"Rotation of WCS by an angle of {} deg \\\".format(rotation_angle)+text)\\n # old_central_pixel = wcsprm_original.s2p([wcsprm.crval], 0)[\\\"pixcrd\\\"][0]\\n # print(\\\"x offset: {} px, y offset: {} px \\\".format(wcsprm.crpix[0]- old_central_pixel[0], wcsprm.crpix[1]- old_central_pixel[1]))\\n #\\n #\\n # #check final figure\\n # if(args.images):\\n # fig = plt.figure()\\n # fig.canvas.set_window_title('Result for {}'.format(fits_image_filename))\\n # plt.xlabel(\\\"pixel x direction\\\")\\n # plt.ylabel(\\\"pixel y direction\\\")\\n # plt.title(\\\"Result - red: catalog sources, blue: detected sources in img\\\")\\n # plt.imshow(image,cmap='Greys', origin='lower', norm=LogNorm())\\n # apertures.plot(color='blue', lw=1.5, alpha=0.5)\\n # #apertures_catalog = CircularAperture(wcs.wcs_world2pix(catalog_data[[\\\"ra\\\", \\\"dec\\\"]], 1), r=5.)\\n # apertures_catalog = CircularAperture(wcsprm.s2p(catalog_data[[\\\"ra\\\", \\\"dec\\\"]], 1)['pixcrd'], r=5.)\\n #\\n # apertures_catalog.plot(color='red', lw=1.5, alpha=0.5)\\n # if(args.save_images):\\n # name_parts = fits_image_filename.rsplit('.', 1)\\n # plt.savefig(name_parts[0]+\\\"_image_after.pdf\\\")\\n #\\n # print(\\\"--- Evaluate how good the transformation is ----\\\")\\n # register.calculate_rms(observation, catalog_data,wcsprm)\\n #\\n #\\n # #updating file\\n # write_wcs_to_hdr(fits_image_filename, wcsprm)\\n #\\n #\\n # print(\\\"overall time taken\\\")\\n # print(datetime.now()-StartTime)\\n # if(args.images):\\n # plt.show()\\n if(multiple):\\n print(\\\">> Final report:\\\")\\n print(\\\"Processed {} files, {} of them did converge. The following files failed:\\\".format(len(fits_image_filenames), converged_counter))\\n print(not_converged)\\n print(\\\"-- finished --\\\")\",\n \"def _red_detect_(self, nslice = 0, thresh = 2.0):\\n zk_1 = 's_' + format(nslice, '03d')\\n zk_2 = 's_' + format(nslice+1, '03d')\\n\\n zf_1 = self.z_dense[zk_1]\\n zf_2 = self.z_dense[zk_2]\\n\\n # extract the y and x coordinates\\n y1 = zf_1[:,0]\\n x1 = zf_1[:,1]\\n\\n y2 = zf_2[:,0]\\n x2 = zf_2[:,1]\\n\\n\\n # create a meshgrid\\n [YC, YR] = np.meshgrid(y2, y1)\\n [XC, XR] = np.meshgrid(x2, x1)\\n\\n\\n dist_block = np.sqrt((YC-YR)**2 + (XC-XR)**2)\\n red_pair = np.where(dist_block <= thresh) # find out where the distance between cell i in plane k and cell j in plane k+1 is below the threshold.\\n\\n ind1 = red_pair[0] # the indices in the first frame\\n ind2 = red_pair[1] # the indices in the second frame\\n\\n\\n # select those with markers > 0 and markers < 0\\n marker_1 = zf_1[ind1, 3]\\n\\n\\n new_idx = (marker_1 == 0) # select those with zero-markers, which are never counted before. These are new cells. marker_1 needs to be updated.\\n pool_new = ind1[new_idx] # select the indices in the first frame where new redundancies are detected \\n pool_new_cov = ind2[new_idx] # select the indices in the second frame where new redundancies are detected.\\n\\n\\n pool_exist = ind1[~new_idx] # among the detected redundancies, find those already marked.\\n pool_exist_cov = ind2[~new_idx] # correspondingly, find those already marked in the adjacent slice\\n\\n n_new = len(pool_new)\\n n_exist = len(pool_exist)\\n if self.verbose:\\n print(n_new, \\\"new redundancies, \\\", n_exist, \\\"existing redundancies\\\")\\n\\n for n_count in np.arange(n_new):\\n # build the new keys\\n # also, we need to assign each new key an identity number which is unique.\\n n_ind1 = pool_new[n_count] # find the indices in the first slice that contains new redundancies\\n n_ind2 = pool_new_cov[n_count] # find the indices in the following slice \\n pr_number = nslice * 1000 + n_ind1\\n pr_key = 'sl_' + str(pr_number) # build a key \\n new_sl = Simple_list(nslice) # create a simple list with z_marker = nslice, nslice is the index of the first z-slice \\n new_sl.add([nslice, zf_1[n_ind1, 4]])\\n new_sl.add([nslice+1, zf_2[n_ind2, 4]])\\n zf_1[n_ind1, 3] = pr_number # assign the new pr_number to zf_1\\n zf_2[n_ind2, 3] = pr_number # assigne the same new pr_number to zf_2\\n\\n self.redundancy_pool[pr_key] = new_sl # stored into the redundancy pool\\n\\n\\n for n_count in np.arange(n_exist):\\n # search for the existing keys\\n n_ind1 = pool_exist[n_count]\\n n_ind2 = pool_exist_cov[n_count]\\n pr_number = int(zf_1[n_ind1, 3])# catch up the pr_number\\n pr_key = 'sl_' + str(pr_number) # this pr_key should already exist in the pool. \\n\\n self.redundancy_pool[pr_key].add([nslice+1, zf_2[n_ind2, 4]])\\n zf_2[n_ind2, 3] = pr_number # update the pr_number in the adjacent slice\",\n \"def process_image(image):\\n \\n # (step 1) get gray image\\n gray = grayscale(image)\\n \\n # (step 2) do gaussian blur with kernel size is 3\\n blur_gray = gaussian_blur(gray, 3)\\n \\n # (step 3) do canny edge detction with low 50 and hight 150\\n canny_edges = canny(blur_gray, 50, 150)\\n \\n # (step 4) region of interset\\n imshape = image.shape\\n left_bottom = (50,imshape[0])\\n right_bottom = (imshape[1]-50,imshape[0])\\n left_top = (420, 330)\\n right_top = (imshape[1]-420, 330)\\n # used later to discard lines which are out of the ROI\\n polygon = Polygon([(50,imshape[0]+1),(imshape[1]-50,imshape[0]+1), (imshape[1]-420, 329), (420, 329)])\\n vertices = np.array([[left_bottom,left_top, right_top, right_bottom]], dtype=np.int32)\\n masked_edge = region_of_interest(canny_edges, vertices)\\n \\n # (step 5) get lane lines from hough transform\\n rho = 2\\n theta = np.pi/18 \\n threshold = 15\\n min_line_length = 10\\n max_line_gap = 20\\n lines = hough_lines(masked_edge, rho, theta, threshold, min_line_length, max_line_gap)\\n \\n # (step 6) seperate left and right lines\\n left_lines = []\\n right_lines = []\\n for line in lines:\\n for x1,y1,x2,y2 in line:\\n if y1 > y2:\\n temp_line = [x1,y1,x2,y2]\\n if x2 != x1:\\n m = (float(y2) - float(y1)) / (float(x2) - float(x1))\\n else:\\n m = 1000 # it will be dicarded, any high value will work\\n temp_line.append(m)\\n if x1 < x2:\\n left_lines.append(temp_line)\\n else:\\n right_lines.append(temp_line)\\n else:\\n temp_line = [x2,y2,x1,y1]\\n if x2 != x1:\\n m = (float(y1) - float(y2)) / (float(x1) - float(x2))\\n else:\\n m = 1000\\n temp_line.append(m)\\n if x1 > x2:\\n left_lines.append(temp_line)\\n else:\\n right_lines.append(temp_line)\\n \\n # (step 7) get left and right lines slopes, can be done with step 6 although\\n left_slop = []\\n for left_line in left_lines:\\n x1 = left_line[0]; y1 = left_line[1]; x2 = left_line[2]; y2 = left_line[3]; \\n if x1 != x2:\\n left_slop.append( (float(y2) - float(y1)) / (float(x2) - float(x1)) )\\n average_left_slop = sum(left_slop)/len(left_slop) # not used yet\\n \\n right_slop = []\\n for right_line in right_lines:\\n x1 = right_line[0]; y1 = right_line[1]; x2 = right_line[2]; y2 = right_line[3]; \\n if x1 != x2:\\n right_slop.append( (float(y2) - float(y1)) / (float(x2) - float(x1)) )\\n average_right_slope = sum(right_slop)/len(right_slop) # not used yet\\n \\n \\n # (step 8) delete left lines which deviate from thersold_s slope\\n thersold_s = 0.4\\n delet_left_index = []\\n i = 0\\n for left_line in left_lines:\\n x1 = left_line[0]; y1 = left_line[1]; x2 = left_line[2]; y2 = left_line[3]; m = left_line[4]; \\n if abs(m) < thersold_s:\\n delet_left_index.append(i)\\n i=i+1\\n for i in range((len(delet_left_index)-1), -1, -1):\\n del left_lines[delet_left_index[i]]\\n \\n # (step 9) delete right lines which deviate from average slope\\n delet_index_right = []\\n i = 0\\n for right_line in right_lines:\\n x1 = right_line[0]; y1 = right_line[1]; x2 = right_line[2]; y2 = right_line[3]; m = right_line[4]; \\n if abs(m) < thersold_s:\\n delet_index_right.append(i)\\n i=i+1\\n for i in range((len(delet_index_right)-1), -1, -1):\\n del right_lines[delet_index_right[i]]\\n \\n # (step 10) extrapolate left and right lines\\n left_line_draw = True\\n x_lefts = []\\n y_lefts = []\\n for line in left_lines:\\n x1, y1, x2, y2, m = line\\n x_lefts.append(x1)\\n x_lefts.append(x2) \\n y_lefts.append(y1)\\n y_lefts.append(y2)\\n \\n if len(x_lefts) > 0:\\n slope_left, c_left = np.polyfit(x_lefts, y_lefts, 1)\\n else:\\n slope_left, c_left = 1, 1\\n left_line_draw = False\\n \\n right_line_draw = True\\n x_rights = []\\n y_rights = []\\n for line in right_lines:\\n x1, y1, x2, y2, m = line\\n x_rights.append(x1)\\n x_rights.append(x2)\\n y_rights.append(y1)\\n y_rights.append(y2)\\n if len(x_rights) > 0:\\n slope_right, c_right = np.polyfit(x_rights, y_rights, 1)\\n else:\\n slope_right, c_right = 1, 1\\n right_line_draw = False\\n \\n y1_left = 530 # again hardcoded values, from ROI\\n y2_left = 330 # again hardcoded values, from ROI\\n x1_left = int((y1_left - c_left) / slope_left)\\n x2_left = int((y2_left - c_left) / slope_left)\\n \\n y1_right = 530 # again hardcoded values, from ROI\\n y2_right = 330 # again hardcoded values, from ROI \\n x1_right = int((y1_right - c_right) / slope_right)\\n x2_right = int((y2_right - c_right) / slope_right)\\n \\n # (step 11) check if left/right line is out of ROI\\n left_point1 = Point(x1_left, y1_left)\\n left_point2 = Point(x2_left, y2_left)\\n \\n right_point1 = Point(x1_right, y1_right)\\n right_point2 = Point(x2_right, y2_right)\\n \\n if polygon.contains(left_point1) and polygon.contains(left_point2):\\n left_line_draw = True\\n else:\\n #print (\\\"left line out\\\", left_point1, left_point2)\\n left_line_draw = False\\n \\n if polygon.contains(right_point1) and polygon.contains(right_point2):\\n right_line_draw = True\\n else:\\n #print (\\\"right line out\\\", right_point1, right_point2)\\n right_line_draw = False\\n \\n \\n # (step 12) draw lines\\n line_image = np.copy(image)\\n # Draw the right and left lines on image\\n if left_line_draw:\\n cv2.line(line_image, (x1_left, y1_left), (x2_left, y2_left), (255,0,0),5)\\n if right_line_draw:\\n cv2.line(line_image, (x1_right, y1_right), (x2_right, y2_right), (255,0,0),5)\\n \\n # Create a \\\"color\\\" binary image to combine with line image\\n color_edges = np.dstack((masked_edge, masked_edge, masked_edge)) \\n \\n # Draw the lines on the edge image\\n lines_edges = cv2.addWeighted(color_edges, 0.4, line_image, 1, 0) \\n #plt.imshow(lines_edges)\\n #plt.show()\\n return lines_edges\",\n \"def global_analysis(tomo, b_th, c=18):\\n\\n ## Thesholding and Volume analysis\\n if c == 6:\\n con_mat = [ [[0, 0, 0], [0, 1, 0], [0, 0, 0]],\\n [[0, 1, 0], [1, 1, 1], [0, 1, 0]],\\n [[0, 0, 0], [0, 1, 0], [0, 0, 0]] ]\\n elif c == 18:\\n con_mat = [[[0, 1, 0], [1, 1, 1], [0, 1, 0]],\\n [[1, 1, 1], [1, 1, 1], [1, 1, 1]],\\n [[0, 1, 0], [1, 1, 1], [0, 1, 0]]]\\n elif c == 26:\\n con_mat = [[[1, 1, 1], [1, 1, 1], [1, 1, 1]],\\n [[1, 1, 1], [1, 1, 1], [1, 1, 1]],\\n [[1, 1, 1], [1, 1, 1], [1, 1, 1]]]\\n else:\\n raise ValueError\\n tomo_lbl, num_lbls = sp.ndimage.label(tomo >= b_th, structure=np.ones(shape=[3, 3, 3]))\\n tomo_out = np.zeros(shape=tomo.shape, dtype=int)\\n lut = np.zeros(shape=num_lbls+1, dtype=int)\\n\\n ## COUNTING REGIONS METHODS\\n # import time\\n # hold_t = time.time()\\n # for lbl in range(1, num_lbls + 1):\\n # ids = tomo == lbl\\n # feat_sz = len(ids)\\n # tomo_out[ids] = feat_sz\\n # # print('[1]:', lbl, 'of', num_lbls)\\n # print time.time() - hold_t\\n\\n ## COUNTING PIXELS METHOD\\n ## Count loop\\n # cont, total = 0, np.prod(tomo.shape)\\n # import time\\n # hold_t = time.time()\\n for x in range(tomo.shape[0]):\\n for y in range(tomo.shape[1]):\\n for z in range(tomo.shape[2]):\\n id = tomo_lbl[x, y, z]\\n lut[id] += 1\\n # cont += 1\\n # print('[1]:', cont, 'of', total)\\n #\\n ## Write loop\\n # cont, total = 0, np.prod(tomo.shape)\\n\\n for x in range(tomo.shape[0]):\\n for y in range(tomo.shape[1]):\\n for z in range(tomo.shape[2]):\\n id = tomo_lbl[x, y, z]\\n if id > 0:\\n tomo_out[x, y, z] = lut[id]\\n # cont += 1\\n # print('[1]:', cont, 'of', total)\\n # print time.time() - hold_t\\n\\n return tomo_out\",\n \"def get_dark_images(new_path, dataframe):\\n\\n image_list = [i for i in dataframe['image']]\\n return [1 if np.mean(np.array(Image.open(new_path + image))) == 0 else 0 for image in image_list]\",\n \"def detect_labels(img: np.ndarray):\\n \\n # Create a range of allowed colors.\\n lower_color = np.array([20, 50, 0])\\n upper_color = np.array([255, 255, 255])\\n\\n # Keep the pixels that lie within the range.\\n color_filtered = cv.inRange(\\n cv.cvtColor(img, cv.COLOR_RGB2HSV),\\n lower_color,\\n upper_color\\n )\\n \\n # Keeping only the really bright pixels (converted to 255), change the dull ones to 0.\\n # Helps distinguish the labels from other dull colors.\\n _, thresholded = cv.threshold(color_filtered, 254, 255, cv.THRESH_BINARY)\\n\\n # Reduce the thickness of regions. Every 30x30 sliding window of 255 in the image gets replaced by a white pixel.\\n # The stronger the erosion, the more the noise is removed, with a chance of removal of good pixels as well.\\n eroded = cv.erode(thresholded, np.ones((30, 30)))\\n\\n # Now find outlines of the bright regions that remain after the thickness reduction.\\n contours, _ = cv.findContours(eroded, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)\\n \\n # Identify the contours that represent our labels.\\n # Gotta be the two largest ones in terms of area.\\n contour_areas = [(cv.contourArea(c), idx) for (idx, c) in enumerate(contours)]\\n\\n contour_largest_idx = max(contour_areas)[1]\\n contour_second_largest_idx = max(filter(lambda item: item[1] != contour_largest_idx, contour_areas))[1]\\n\\n # Since the labels are sorta rectangular, find the mean of the contours' y-axes to approximate the vertical center of the labels.\\n largest_vertical_center = np.mean(contours[contour_largest_idx][:, :, 1])\\n second_largest_vertical_center = np.mean(contours[contour_second_largest_idx][:, :, 1])\\n\\n # Higher center implies the value is more towards the bottom of the image, and hence the vertical center of the bottom label.\\n bottom_label = min(largest_vertical_center, second_largest_vertical_center)\\n \\n # Lower center implies the value is more towards the top of the image, and hence the vertical center of the top label.\\n top_label = max(largest_vertical_center, second_largest_vertical_center)\\n\\n return bottom_label, top_label\",\n \"def find_buoy(img, display_results=False):\\n\\n greyscale_image = cv2.cvtColor(img.astype(np.uint8), cv2.COLOR_GRAY2BGR)\\n cm_image = cv2.applyColorMap(greyscale_image, cv2.COLORMAP_VIRIDIS)\\n\\n cm_copy_image = cm_image\\n cv2.copyTo(cm_image, cm_copy_image)\\n cm_image = cv2.medianBlur(cm_image, 5) # Removes salt and pepper noise\\n\\n mask = mask_sonar_image(cm_image, display_results)\\n\\n cm_circs = cv2.findContours(mask, cv2.RETR_LIST,\\n cv2.CHAIN_APPROX_SIMPLE)[-2]\\n cm_circs = list(filter(lambda x: (cv2.contourArea(x) > 250), cm_circs))\\n\\n cm_circs = sorted(cm_circs, key=lambda x: (cv2.arcLength(x, True)**2/(\\n 4*math.pi*cv2.contourArea(x))), reverse=False)\\n\\n filtered_circles = cm_circs[0:1]\\n\\n circle_positions = []\\n for circle in filtered_circles: # Find center of circle code\\n M = cv2.moments(circle)\\n cX = int(M[\\\"m10\\\"] / M[\\\"m00\\\"])\\n cY = int(M[\\\"m01\\\"] / M[\\\"m00\\\"])\\n circle_positions.append((cX, cY, (cv2.arcLength(circle, True)**2/(\\n 4*math.pi*cv2.contourArea(circle))),\\n cv2.contourArea(circle)))\\n\\n if display_results:\\n cv2.drawContours(cm_copy_image, filtered_circles, -1, (0, 255, 0), 2)\\n cv2.imshow(\\\"found_buoys\\\", cm_copy_image)\\n cv2.waitKey(0)\\n\\n return circle_positions\",\n \"def on_image(image):\\n objects = [obj for obj in coco.classify(image) if obj.confidence > config.OBJECT_CONFIDENCE_THRESHOLD]\\n queue.put((image, objects))\",\n \"def run_visualization(image):\\n original_im = Image.fromarray(image)\\n seg_map = model.run(original_im)\\n seg_image = label_to_color_image(seg_map).astype(np.uint8)\\n\\n return seg_image\",\n \"def check_image(self, image, temps):\\n self.logger.debug('Check image \\\"%s\\\"', image)\\n _, edges = cv2.threshold(cv2.imread(image, 0), 127, 255, cv2.THRESH_BINARY)\\n\\n result = []\\n for filename in temps:\\n template = cv2.imread(filename, 0)\\n width, hight = template.shape[::-1]\\n\\n res = cv2.matchTemplate(edges, template, cv2.TM_CCORR_NORMED)\\n if self.multi:\\n for point in zip(*np.where(res >= self.threshold)[::-1]):\\n result.append((point, (point[0] + width, point[1] + hight)))\\n else:\\n _, max_val, _, max_loc = cv2.minMaxLoc(res)\\n if max_val > self.threshold:\\n result.append((max_loc, (max_loc[0] + width, max_loc[1] + hight)))\\n return result\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7544776","0.751789","0.69776064","0.68778455","0.6797643","0.6754273","0.6741402","0.6733516","0.6707194","0.669984","0.66010076","0.65580624","0.65305924","0.6255979","0.6248127","0.62139523","0.6213312","0.6186227","0.6084384","0.6077522","0.6051025","0.60180014","0.6016718","0.5978734","0.59658897","0.5949986","0.58877367","0.5875262","0.58746266","0.58679885","0.583015","0.58280647","0.5818854","0.581733","0.5815878","0.5794954","0.57684135","0.5733923","0.5727015","0.5721082","0.5720878","0.5713227","0.5699824","0.56929517","0.56903875","0.56770223","0.5664665","0.56470877","0.5642082","0.56085926","0.5605678","0.560171","0.5601574","0.55883205","0.5575753","0.55701905","0.55618453","0.555158","0.5548128","0.55449694","0.55321765","0.55206245","0.5516395","0.5514854","0.5505338","0.5502421","0.5502127","0.5495911","0.5495591","0.5492643","0.5490653","0.5482417","0.547939","0.54767305","0.5474084","0.5465627","0.5451739","0.5446285","0.5446187","0.5440735","0.54403836","0.54337716","0.5432064","0.54245454","0.54218787","0.5421751","0.54176354","0.54152966","0.5415175","0.54134166","0.54077184","0.54031795","0.54025275","0.5402527","0.5396272","0.5390581","0.5381702","0.53789","0.537767","0.5374618"],"string":"[\n \"0.7544776\",\n \"0.751789\",\n \"0.69776064\",\n \"0.68778455\",\n \"0.6797643\",\n \"0.6754273\",\n \"0.6741402\",\n \"0.6733516\",\n \"0.6707194\",\n \"0.669984\",\n \"0.66010076\",\n \"0.65580624\",\n \"0.65305924\",\n \"0.6255979\",\n \"0.6248127\",\n \"0.62139523\",\n \"0.6213312\",\n \"0.6186227\",\n \"0.6084384\",\n \"0.6077522\",\n \"0.6051025\",\n \"0.60180014\",\n \"0.6016718\",\n \"0.5978734\",\n \"0.59658897\",\n \"0.5949986\",\n \"0.58877367\",\n \"0.5875262\",\n \"0.58746266\",\n \"0.58679885\",\n \"0.583015\",\n \"0.58280647\",\n \"0.5818854\",\n \"0.581733\",\n \"0.5815878\",\n \"0.5794954\",\n \"0.57684135\",\n \"0.5733923\",\n \"0.5727015\",\n \"0.5721082\",\n \"0.5720878\",\n \"0.5713227\",\n \"0.5699824\",\n \"0.56929517\",\n \"0.56903875\",\n \"0.56770223\",\n \"0.5664665\",\n \"0.56470877\",\n \"0.5642082\",\n \"0.56085926\",\n \"0.5605678\",\n \"0.560171\",\n \"0.5601574\",\n \"0.55883205\",\n \"0.5575753\",\n \"0.55701905\",\n \"0.55618453\",\n \"0.555158\",\n \"0.5548128\",\n \"0.55449694\",\n \"0.55321765\",\n \"0.55206245\",\n \"0.5516395\",\n \"0.5514854\",\n \"0.5505338\",\n \"0.5502421\",\n \"0.5502127\",\n \"0.5495911\",\n \"0.5495591\",\n \"0.5492643\",\n \"0.5490653\",\n \"0.5482417\",\n \"0.547939\",\n \"0.54767305\",\n \"0.5474084\",\n \"0.5465627\",\n \"0.5451739\",\n \"0.5446285\",\n \"0.5446187\",\n \"0.5440735\",\n \"0.54403836\",\n \"0.54337716\",\n \"0.5432064\",\n \"0.54245454\",\n \"0.54218787\",\n \"0.5421751\",\n \"0.54176354\",\n \"0.54152966\",\n \"0.5415175\",\n \"0.54134166\",\n \"0.54077184\",\n \"0.54031795\",\n \"0.54025275\",\n \"0.5402527\",\n \"0.5396272\",\n \"0.5390581\",\n \"0.5381702\",\n \"0.53789\",\n \"0.537767\",\n \"0.5374618\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6223624"},"document_rank":{"kind":"string","value":"15"}}},{"rowIdx":4791,"cells":{"query":{"kind":"string","value":"pipeline for new frame image"},"document":{"kind":"string","value":"def process_image(self, img):\n show = False\n # draw_image = np.copy(img)\n # search all scale windows and return cars' windows\n hots = search_scales(img,self.svc, self.X_scaler, self.orient, \n self.pix_per_cell, self.cell_per_block, self.spatial_size, self.hist_bins)\n # update the self boxes\n self.update(hots)\n # detect cars using threshold\n window_image = self.detect(img, 2)\n if show:\n plt.imshow(window_image)\n plt.show()\n return window_image"},"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 run_frame(self, image):\n self.frame_idx += 1\n # run main pipeline\n t0 = datetime.now()\n disp = self.main_pipeline(image)\n t1 = datetime.now()\n logging.info('main pipeline: {}'.format(get_tdiff(t0, t1)))\n \n # prepare image sequence of 3 for trajectory pipeline\n t0 = datetime.now()\n self.image_seq.append(image)\n if len(self.image_seq) > 3:\n del self.image_seq[0]\n t1 = datetime.now()\n logging.info('image stack: {}'.format(get_tdiff(t0, t1)))\n\n # run trajectory pipeline\n t0 = datetime.now()\n if len(self.image_seq) >= 3:\n self.egomo_trmat = self.traj_pipeline(prev_trmat=self.egomo_trmat)\n t1 = datetime.now()\n logging.info('traj pipeline: {}'.format(get_tdiff(t0, t1)))\n return self.frame_idx, disp, self.egomo_trmat, self.t_list","def process(self, image):","def transform(self, previousimage):","def run_frame(self, ti, img):\n pass","def gen():\n global dataFrame\n while True:\n frame = vs.read()\n # frame = imutils.resize(frame, width=400)\n \n (flag, encodedImage) = cv2.imencode(\".jpg\", frame.copy())\n if not flag: continue\n # print (encodedImage)\n dataFrame = yield (b'--frame\\r\\n'\n b'Content-Type: image/jpeg\\r\\n\\r\\n' + bytearray(encodedImage) + b'\\r\\n')","def create_new_frame(image_file, green_file, process_file):\n\n # this print() statement is there to help see which frame is being processed\n print(f'{process_file[-7:-4]}', end=',', flush=True)\n\n image_img = Image.open(image_file)\n green_img = Image.open(green_file)\n\n # Make Numpy array\n np_img = np.array(green_img)\n\n # Mask pixels \n mask = (np_img[:, :, BLUE] < 120) & (np_img[:, :, GREEN] > 120) & (np_img[:, :, RED] < 120)\n\n # Create mask image\n mask_img = Image.fromarray((mask*255).astype(np.uint8))\n\n image_new = Image.composite(image_img, green_img, mask_img)\n image_new.save(process_file)","def frame_pre_process(self, frame):\n assert len(frame.shape) == 3, \\\n \"Expected input frame in (H, W, C) format proposed\"\n assert frame.shape[2] in [3, 4], \\\n \"Expected BGR or BGRA input process\"\n # setup the frame in the original format\n \n #orig_image = frame.copy()\n original_image = frame.copy()\n \n # creating the frame transpose conversion\n frame = frame.transpose((2, 0, 1)) # Converting from HWC to CHW\n \n # creating the frame dimensions\n frame = np.expand_dims(frame, axis=0)\n \n # return the frames outcome\n return (frame)","def create_frame_blob(self):\n # self.image_blob = cv2.dnn.blobFromImage(\n # cv2.resize(self.frame, (300, 300)), 1.0, (300, 300),\n # (104.0, 177.0, 123.0), swapRB=False, crop=False)\n self.image_blob = cv2.dnn.blobFromImage(cv2.resize(self.frame, (300, 300)),\n 0.007843, (300, 300), 127.5)","def process_pipeline(frame, keep_state=True):\n\n global line_lt, line_rt, processed_frames\n\n # undistort the image using coefficients found in calibration\n undistorted_img = undistort(frame, mtx, dist)\n\n # binarize the frame and highlight lane lines\n binarized_img = binarize(undistorted_img)\n\n # perspective transform to obtain bird's eye view\n birdeye_img, matrix, inversed_matrix = birdeye(binarized_img, visualise=False)\n\n # 2 order polynomial curve fit onto lane lines found\n if processed_frames > 0 and keep_state and line_lt.detected and line_rt.detected:\n find_lane_by_previous_fits(birdeye_img, line_lt, line_rt, visualise=False)\n else:\n find_lane_by_sliding_windows(birdeye_img, line_lt, line_rt, n_windows=9, visualise=False)\n\n # compute offset in meter from center of the lane\n offset_meter = offset_from_lane_center(line_lt, line_rt, frame_width=frame.shape[1])\n\n # draw the surface enclosed by lane lines back onto the original frame\n blend_on_road = draw_back_onto_the_road(undistorted_img, inversed_matrix, line_lt, line_rt, keep_state)\n mean_curvature_meter = np.mean([line_lt.curvature_meter, line_rt.curvature_meter])\n font = cv2.FONT_HERSHEY_SIMPLEX\n cv2.putText(blend_on_road, 'Curvature radius: {:.02f}m'.format(mean_curvature_meter), (60, 60), font, 1,\n (255, 255, 255), 2)\n cv2.putText(blend_on_road, 'Offset from center: {:.02f}m'.format(offset_meter), (60, 90), font, 1,\n (255, 255, 255), 2)\n\n processed_frames += 1\n\n return blend_on_road","def run_record(self, state, pipeline, record_path):\n e1 = cv2.getTickCount()\n while state.record_btn:\n # Wait for a coherent pair of frames: depth and color\n frames = pipeline.wait_for_frames()\n depth_frame = frames.get_depth_frame()\n color_frame = frames.get_color_frame()\n if not depth_frame or not color_frame:\n continue\n \n # filter\n depth_frame = self.th_filter.process(depth_frame)\n depth_frame = self.sp_filter.process(depth_frame)\n depth_frame = self.tmp_filter.process(depth_frame)\n\n depth_colormap = self.colorizer.colorize(depth_frame)\n # Convert images to numpy arrays\n depth_image = np.asanyarray(depth_colormap.get_data())\n color_image = np.asanyarray(color_frame.get_data())\n\n lane_masked = self.lane_detector.detect(color_image)\n # Show images\n stacked_imgs = (color_image, depth_image, lane_masked)\n images = np.hstack(stacked_imgs)\n cv2.resizeWindow(state.WIN_NAME, \n self.width*len(stacked_imgs), \n self.height)\n cv2.imshow(state.WIN_NAME, images)\n cv2.setMouseCallback(state.WIN_NAME, state.mouse_controll)\n key = cv2.waitKey(1)\n if key == 27:\n state.app_btn = False\n state.record_btn = False\n break\n # Calculate Runtime Tick to quit\n e2 = cv2.getTickCount()\n tick = int((e2 - e1) / cv2.getTickFrequency())\n # Save images per tick\n if self.saveimg:\n color_file = record_path / f\"color-{tick}.npy\"\n depth_file = record_path / f\"depth-{tick}.npy\"\n ps_file = record_path / f\"ps-{tick}.ply\"\n if not ps_file.exists():\n np.save(color_file, color_image)\n np.save(depth_file, depth_image)\n \n # Create point cloud\n if self.savepc and (not ps_file.exists()):\n points = self.pc.calculate(depth_frame)\n self.pc.map_to(depth_frame)\n points.export_to_ply(str(ps_file), color_frame)\n\n if tick > self.record_time:\n print(\"Finish Record\")\n state.app_btn = False\n state.record_btn = False\n cv2.destroyAllWindows()\n break\n\n if not state.app_btn:\n break","def SIMPLEST_PIPELINE():\n return lambda image_path, label: (\n tf.image.decode_jpeg(tf.io.read_file(image_path), channels=3),\n label\n )","def __call__(self, frame_num):\n # propagate and set the density\n self.img.set_array(\n np.abs(self.quant_sys.propagate(10)) ** 2\n )\n return self.img,","def gen_frame():\n while True:\n frame = camera_stream()\n yield (b'--frame\\r\\n'\n b'Content-Type: image/png\\r\\n\\r\\n' + frame + b'\\r\\n') # concate frame one by one and show result","def process(image):\n pass","def frameProcessing():\n\tglobal referenceFrame\n\tglobal dilatedFrame\n\t#receive the image from the request.\n\tfile = request.json\n\tframe = np.array(file[\"Frame\"], dtype = \"uint8\")\n\t\n\t#gray-scale conversion and Gaussian blur filter applying\n\tgrayFrame = greyScaleConversion(frame)\n\tblurredFrame = gaussianBlurring(grayFrame)\n\n\t#Check if a frame has been previously processed and set it as the previous frame.\n\tif type(referenceFrame) ==int():\n\t\treferenceFrame = blurredFrame\n\t\n\t#Background subtraction and image binarization\n\tframeDelta = getImageDiff(referenceFrame, blurredFrame)\n\treferenceFrame = blurredFrame\n\t#cv2.imwrite(\"previousImage.jpg\", blurredFrame)\n\tframeThresh = thresholdImage(frameDelta, binarizationThreshold)\n\n\t#Dilate image and find all the contours\n\tdilatedFrame = dilateImage(frameThresh)\n\t#cv2.imwrite(\"dilatedFrame.jpg\", dilatedFrame)\n\tcnts = getContours(dilatedFrame.copy())\n\t\n\theight = np.size(frame,0)\n\tcoordYEntranceLine = int((height / 2)-offsetEntranceLine)\n\tcoordYExitLine = int((height / 2)+offsetExitLine)\n\theaders = {\"enctype\" : \"multipart/form-data\"}\n\tr = requests.post(\"http://\" + getNextServer() + \"/objectClassifier\", headers = headers, json = {\"Frame\":frame.tolist()} )\n\t\"\"\"\t\n\tfor c in cnts:\n\t\tprint(\"x\")\n\t\tif cv2.contourArea(c) < minContourArea:\n\t\t\tprint(\"Small Area\", cv2.contourArea(c))\n\t\t\tcontinue\n\t\t(x, y, w, h) = getContourBound(c)\n\t\t#grab an area 2 times larger than the contour.\n\t\tcntImage = frame[y:y+int(1.5*w), x:x+int(1.5*h)]\n\t\tobjectCentroid = getContourCentroid(x, y, w, h)\n\t\tcoordYCentroid = (y+y+h)/2\n\t\t\n\t\t\n\t\t#if (checkEntranceLineCrossing(coordYCentroid,coordYEntranceLine,coordYExitLine)):\t\t\t\t\n\t\theaders = {\"enctype\" : \"multipart/form-data\"}\n\t\t#i = random.randint(1,1000)\n\t\t#cv2.imwrite(\"ContourImages/contour\"+str(i)+\".jpg\", cntImage)\n\t\t#files = {\"image\":open(\"ContourImages/contour\"+str(i)+\".jpg\", \"rb\")}\n\t\tdata = {\"contour\" : cntImage.tolist()}\n\t\tr = requests.post(\"http://\" + getNextServer() + \"/objectClassifier\", headers = headers, json = data )\n\n\t\n\t\"\"\"\n\treturn Response(status=200)","def write_frame(self, img):\n if img.shape[0] % 2 != 0:\n print(\"Warning: height is not divisible by 2! Dropping last row\")\n img = img[:-1]\n if img.shape[1] % 2 != 0:\n print(\"Warning: width is not divisible by 2! Dropping last column\")\n img = img[:, :-1]\n if self.post_processor:\n img = self.post_processor.process(img)\n if self.width is None:\n self.width = img.shape[0]\n self.height = img.shape[1]\n assert os.path.exists(self.directory)\n fn = FRAME_FN_TEMPLATE % self.frame_counter\n self.frame_fns.append(fn)\n imwrite(img, os.path.join(self.frame_directory, fn))\n self.frame_counter += 1\n if self.frame_counter % self.next_video_checkpoint == 0:\n if self.automatic_build:\n self.make_video()\n self.next_video_checkpoint *= 2","def _create_vtk_pipeline(self):\n if self._viewer is None and not self._view_frame is None:\n \n if True:\n self._viewer = vtk.vtkImageViewer2()\n self._viewer.SetupInteractor(self._view_frame._rwi)\n self._viewer.GetRenderer().SetBackground(0.3,0.3,0.3)\n \n else:\n ren = vtk.vtkRenderer()\n self._view_frame._rwi.GetRenderWindow().AddRenderer(ren)","def process_frame(self, frame):\n\t\treturn frame","def gen(camera):\n while True:\n # frame_findline = camera.get_frame()\n frame_findline, center_Pos1, center_Pos2 = camera.get_frame()\n frame_findline = cv2.line(frame_findline, (center_Pos1, 440), (center_Pos2, 380), (255,100,0), 5)\n\n frame = cv2.imencode('.jpg', frame_findline)[1].tobytes()\n yield (b'--frame\\r\\n'\n b'Content-Type: image/jpeg\\r\\n\\r\\n' + frame + b'\\r\\n')","def _prepare_frame(self, frame):\n\n initial_h, initial_w = frame.shape[:2]\n scale_h, scale_w = initial_h / float(self.input_height), initial_w / float(self.input_width)\n\n in_frame = cv2.resize(frame, (self.input_width, self.input_height))\n in_frame = in_frame.transpose((2, 0, 1))\n in_frame = in_frame.reshape(self.input_size)\n\n return in_frame, scale_h, scale_w","def process_image(self):\n pass","def image_processing(eye_frame, threshold):\n kernel = np.ones((3, 3), np.uint8)\n new_frame = cv2.bilateralFilter(eye_frame, 10, 15, 15)\n new_frame = cv2.erode(new_frame, kernel, iterations=3)\n new_frame = cv2.threshold(new_frame, threshold, 255, cv2.THRESH_BINARY)[1]\n\n return new_frame","def _create_pipeline(self) -> TfmIterator:\n # 1. Initialise TubRecord -> x, y transformations\n def get_x(record: TubRecord) -> Dict[str, Union[float, np.ndarray]]:\n \"\"\" Extracting x from record for training\"\"\"\n out_dict = self.model.x_transform(record, self.image_processor)\n # apply the normalisation here on the fly to go from uint8 -> float\n out_dict['img_in'] = normalize_image(out_dict['img_in'])\n return out_dict\n\n def get_y(record: TubRecord) -> Dict[str, Union[float, np.ndarray]]:\n \"\"\" Extracting y from record for training \"\"\"\n y = self.model.y_transform(record)\n return y\n\n # 2. Build pipeline using the transformations\n pipeline = self.sequence.build_pipeline(x_transform=get_x,\n y_transform=get_y)\n return pipeline","def captureNextFrame(self):\r\n mainls = []\r\n\r\n\r\n ret, readFrame = self.capture.read()\r\n\r\n if (ret == True):\r\n self.currentFrame = cv2.cvtColor(readFrame, cv2.COLOR_BGR2RGB)\r\n self.faceDetection(self.currentFrame)\r\n self.currentFrame = self.bbFrame","def pipeline(image):\n # undistort image\n undistorted_image = undistort_image(image)\n superimposed_image = find_lanes(undistorted_image)\n labels = find_vehicles(undistorted_image)\n\n draw_img = draw_labeled_bboxes(superimposed_image, labels)\n\n \n return draw_img","def extract_frames(pipe, \r\n cfg, \r\n save_path,\r\n post_processing=False,\r\n save_colorize=True,\r\n save_pc=False,\r\n visualize=True):\r\n # Configurations\r\n if save_colorize:\r\n colorizer = rs.colorizer()\r\n if save_pc:\r\n pc = rs.pointcloud()\r\n points = rs.points()\r\n # Save path\r\n if not os.path.exists(save_path):\r\n os.makedirs(save_path)\r\n\r\n # Start the pipe\r\n i = 0\r\n profile = pipe.start(cfg)\r\n device = profile.get_device()\r\n playback = device.as_playback()\r\n playback.set_real_time(False) # Make sure this is False or frames get dropped\r\n while True:\r\n try:\r\n # Wait for a conherent pairs of frames: (rgb, depth)\r\n pairs = pipe.wait_for_frames()\r\n\r\n # Align depth image to rgb image first\r\n align = rs.align(rs.stream.color)\r\n pairs = align.process(pairs)\r\n\r\n color_frame = pairs.get_color_frame()\r\n depth_frame = pairs.get_depth_frame()\r\n if not depth_frame or not color_frame:\r\n continue\r\n\r\n # Post-processing\r\n if post_processing:\r\n depth_frame = post_processing(depth_frame)\r\n\r\n # Get rgb-d images\r\n color_img = np.asanyarray(color_frame.get_data())\r\n color_img = cv2.cvtColor(color_img, cv2.COLOR_RGB2BGR)\r\n depth_img = np.asanyarray(depth_frame.get_data())\r\n print('Frame {}, Depth Image {}, Color Image {}'.format(i+1, depth_img.shape, color_img.shape))\r\n \r\n # Save as loseless formats\r\n cv2.imwrite(os.path.join(save_path, '{}_rgb.png'.format(i)), color_img, [cv2.IMWRITE_PNG_COMPRESSION, 0])\r\n np.save(os.path.join(save_path, '{}_depth.npy'.format(i)), depth_img)\r\n \r\n if save_colorize:\r\n # Save colorized depth map\r\n depth_img_colorized = np.asanyarray(colorizer.colorize(depth_frame).get_data())\r\n cv2.imwrite(os.path.join(save_path, '{}_depth_colorized.jpg'.format(i)), depth_img_colorized) # No need for lossless here\r\n \r\n if save_pc:\r\n # NOTE: Point cloud calculation takes longer time.\r\n pc.map_to(color_frame)\r\n points = pc.calculate(depth_frame)\r\n points.export_to_ply(os.path.join(save_path, '{}_pc.ply'.format(i)), color_frame)\r\n \r\n i += 1\r\n\r\n if visualize:\r\n # Stack both images horizontally\r\n images = np.vstack((color_img, depth_img_colorized))\r\n\r\n # Show images\r\n cv2.namedWindow('RealSense', cv2.WINDOW_NORMAL)\r\n cv2.imshow('RealSense', images)\r\n cv2.waitKey(1)\r\n \r\n except Exception as e:\r\n print(e)\r\n break\r\n\r\n # Clean pipeline\r\n pipe.stop()\r\n print('{} frames saved in total.'.format(i))\r\n\r\n return","def get_image(self):\n self.flush_buffer()\n _, frame = self.cam.read()\n shift_frame = self.perspective_shift(frame)\n #shift_frame = None\n return frame, shift_frame","def update_frame(self, frame):\n\n t = datetime.now()\n delta_t = t - self.dpar.frame_timestamp[0]\n fps = self.dpar.update_fps(1./delta_t.total_seconds())\n\n self.dpar.frame_timestamp[0] = t\n\n if self.config.black_correct:\n cframe = self.ffc.black_correct(frame)\n else:\n cframe = frame\n\n self.dpar.latest_frame = np.copy(cframe)\n \n if self.dpar.cap_live_swap:\n pix, gray = self._get_pixmap(cframe[::4,::4], self.dpar.iwindow[0])\n self.cap_screen.cap_title = self._live_title(fps)\n self.cap_screen.setPixmap(pix)\n else: \n pix, gray = self._get_pixmap(cframe, self.dpar.iwindow[0])\n self.live_screen.live_title = self._live_title(fps)\n self.live_screen.setPixmap(pix)\n\n self.draw_histogram()\n\n\n if self.recording_sequence:\n\n # MRP ToDo update these tags properly.\n et = np.int(np.round(self.camera.actual_exposure_time_ms))\n ifi_ms = 1000. / self.camera.actual_frame_rate\n ts_ms = np.int(np.round(ifi_ms * self.seq_frame_num))\n\n self.ifd.update_tags((self.seq_frame_num, 0), et, 0, ts_ms, 99)\n\n cap_image = np.copy(self.dpar.latest_frame).astype(np.uint16)\n #cv2.imwrite(cfn, (cap_image << (16 - self.camera.pixel_bits)).astype(np.uint16))\n\n \"\"\"\n Perform the TIFF windowing and then rebinning (compress) according to config file options\n \"\"\"\n x0 = max(0, (cap_image.shape[1] - config.tiff_seq_x_window) // 2)\n x1 = cap_image.shape[1] - x0\n y0 = max(0, (cap_image.shape[0] - config.tiff_seq_y_window) // 2)\n y1 = cap_image.shape[0] - y0\n cap_image = cap_image[y0:y1, x0:x1]\n\n shift_bits = 16 - self.camera.pixel_bits\n if config.tiff_seq_rebin > 1: # not tested for r ne 2\n r = config.tiff_seq_rebin\n cap_image = cap_image.reshape((cap_image.shape[0] // r, r, cap_image.shape[1] // r, -1)).sum(axis=3).sum(axis=1)\n extra_bits = 2 * (r.bit_length() -1)\n shift_bits = max(0, shift_bits - extra_bits)\n\n\n #im = PIL.Image.fromarray(gray)\n im = PIL.Image.fromarray((cap_image << shift_bits).astype(np.uint16))\n\n im.save(self.tiff_out, tiffinfo=self.ifd, compression=TIFF_COMPRESSION)\n self.tiff_out.newFrame()\n self.seq_frame_num += 1\n self.seq_frame_label.setText(str(self.seq_frame_num))\n\n if self.recording_video:\n # cframe is int16\n #f8 = ((cframe >> (self.camera.pixel_bits - 8)) & 0xff).astype(np.uint8)\n #Style 1:\n #fc = np.stack((f8, f8, f8), axis=-1)\n #self.rv_vout.write(fc)\n #Style 2&3:\n self.rv_vout.write(gray)\n self.recorded_video_frame_number += 1\n #Style 4: (16-bit)\n #self.rv_vout.write(cframe)\n\n #if self.recorded_video_frame_number == 20:\n # self.record_video() # turn off","def __init__(self):\n self.active = True # Camera activation control\n self.stream = cv2.VideoCapture(0) # Open video stream\n while not self.stream.isOpened():\n pass\n _,self.image = self.stream.read()# Save the first frame\n cv2.waitKey(10)\n self.frame = self.image[196:304,:546,:]# Cropped frame\n self.diff_frame = self.frame\n# self.reference_frame = copy.deepcopy(self.frame)\n# self.abs_diff_frame = copy.deepcopy(self.frame)\n self.reference_frame = self.frame\n self.abs_diff_frame = self.frame\n self.frame_count = 1 # Used for framerate estimation\n self.frame_rate = 0\n self.tic = time()","def processframe(pilimage):\n # TODO: Idea on of overfilling\n # [[0,0,0],\n # [1,1,1],\n # [0,0,0]]\n # Keep this as template. aka pattern. use scipy measure and that s pattern to match all connecting\n # this gets all the fills. the rest is thrown into the pile of sets.\n # we assume index 0 as discarded (Can't really do much with black images.)\n numpyarrayfrompil = numpy.array(pilimage)\n # First we pass to regionprops\n props = createfillers(numpyarrayfrompil)\n # pass all the data we need now to the mapprops2color\n # returns a string which can be cerealised.\n return mapprops2color(props, numpyarrayfrompil, pilimage)","def make(self) -> None:\n\n # arbitrarily selecting the first image from the list, index 0\n with Image.open(self.image_list[0]) as first_frame_image_in_list:\n\n # Find the width and height of the first image of the list.\n # Assuming all the images have same size.\n frame_image_width, frame_image_height = first_frame_image_in_list.size\n\n # scale is the ratio of collage_image_width and product of\n # images_per_row_in_collage with frame_image_width.\n\n # The scale will always lie between 0 and 1, which implies that\n # the images are always going to get downsized.\n scale = (self.collage_image_width) / (\n self.images_per_row_in_collage * frame_image_width\n )\n\n # Calculating the scaled height and width for the frame image.\n scaled_frame_image_width = ceil(frame_image_width * scale)\n scaled_frame_image_height = ceil(frame_image_height * scale)\n\n # Divide the number of images by images_per_row_in_collage. The later\n # was calculated by taking the square root of total number of images.\n number_of_rows = ceil(self.number_of_images / self.images_per_row_in_collage)\n\n # Multiplying the height of one downsized image with number of rows.\n # Height of 1 downsized image is product of scale and frame_image_height\n # Total height is number of rows times the height of one downsized image.\n self.collage_image_height = ceil(scale * frame_image_height * number_of_rows)\n\n # Create an image of passed collage_image_width and calculated collage_image_height.\n # The downsized images will be pasted on this new base image.\n # The image is 0,0,0 RGB(black).\n collage_image = Image.new(\n \"RGB\", (self.collage_image_width, self.collage_image_height)\n )\n\n # keep track of the x and y coordinates of the resized frame images\n i, j = (0, 0)\n\n # iterate the frames and paste them on their position on the collage_image\n for count, frame_path in enumerate(self.image_list):\n\n # Set the x coordinate to zero if we are on the first column\n # If self.images_per_row_in_collage is 4\n # then 0,4,8 and so on should have their x coordinate as 0\n if (count % self.images_per_row_in_collage) == 0:\n i = 0\n\n # open the frame image, must open it to resize it using the thumbnail method\n frame = Image.open(frame_path)\n\n # scale the opened frame images\n frame.thumbnail(\n (scaled_frame_image_width, scaled_frame_image_height), Image.ANTIALIAS\n )\n\n # set the value of x to that of i's value.\n # i is set to 0 if we are on the first column.\n x = i\n\n # It ensures that y coordinate stays the same for any given row.\n # The floor of a real number is the largest integer that is less\n # than or equal to the number. floor division is used because of\n # the zero based indexing, the floor of the division stays same\n # for an entier row as the decimal values are negled by the floor.\n # for the first row the result of floor division is always zero and\n # the product of 0 with scaled_frame_image_height is also zero, they\n # y coordinate for the first row is 0.\n # For the second row the result of floor division is one and the prodcut\n # with scaled_frame_image_height ensures that the y coordinate is\n # scaled_frame_image_height below the first row.\n y = (j // self.images_per_row_in_collage) * scaled_frame_image_height\n\n # paste the frame image on the newly created base image(base image is black)\n collage_image.paste(frame, (x, y))\n frame.close()\n\n # increase the x coordinate by scaled_frame_image_width\n # to get the x coordinate of the next frame. unless the next image\n # will be on the very first column this will be the x coordinate.\n i = i + scaled_frame_image_width\n\n # increase the value of j by 1, this is to calculate the y coordinate of\n # next image. The increased number will be floor divided by images_per_row_in_collage\n # therefore the y coordinate stays the same for any given row.\n j += 1\n\n # save the base image with all the scaled frame images embeded on it.\n collage_image.save(self.output_path)\n collage_image.close()","def __image_pipeline(self, img):\n \n ##### Lane finding pipeline #######\n resized = self.__resize_image(img)\n undistorted = self.__correct_distortion(resized)\n warped = self.__warp_image_to_biv(undistorted)\n thresholded = self.__threshold_image(warped)\n lines = self.__get_lane_lines(thresholded)\n lane_img = self.__draw_lane_lines(undistorted, thresholded, include_stats=True)\n\n\n ##### Vehicle Tracking pipeline #####\n\n hot_windows = self.windFinder.get_hot_windows(img)\n car_boxes, wrap_img = self.vTracker.image_pipeline(img, hot_windows,\n return_img=False) \n # img = cv2.addWeighted(img, 1, wrap_img, 0.5, 0)\n result = self.__draw_boxes(lane_img, car_boxes)\n\n return result","def processFrame(frame, shape=(84, 84)):\n frame = frame.astype(np.uint8) # cv2 requires np.uint8\n # Apply a rgb filter to convert RGB to Gray Scale\n frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)\n # crop image OpenCv2 function to format img[y:y + h, x:x + w]\n frame = frame[34:34+160, :160] # crop image\n frame = cv2.resize(frame, shape, interpolation=cv2.INTER_NEAREST)\n frame = frame.reshape((*shape, 1))\n #cv2.imshow('Cropped Image', frame)\n\n return frame","def PrePush(self, image):\n pass","def display_preprocessed(env,frame):\n env.reset()\n\n #Plot the figure\n plt.figure()\n\n #Show the pre processed frame\n plt.imshow(preprocess_frame(env.reset(), (0, 0, 0, 0), 84), cmap=\"gray\")\n\n #Add title\n plt.title('Pre Processed image')\n\n #Show the plot\n plt.show()","def add_frame(self, frame, player_box):\n # ROI is a small box around the player\n box_center = center_of_box(player_box)\n patch = frame[int(box_center[1] - self.box_margin): int(box_center[1] + self.box_margin),\n int(box_center[0] - self.box_margin): int(box_center[0] + self.box_margin)].copy()\n patch = imutils.resize(patch, 299)\n frame_t = patch.transpose((2, 0, 1)) / 255\n frame_tensor = torch.from_numpy(frame_t).type(self.dtype)\n frame_tensor = self.normalize(frame_tensor).unsqueeze(0)\n with torch.no_grad():\n # forward pass\n features = self.feature_extractor(frame_tensor)\n features = features.unsqueeze(1)\n # Concatenate the features to previous features\n if self.frames_features_seq is None:\n self.frames_features_seq = features\n else:\n self.frames_features_seq = torch.cat([self.frames_features_seq, features], dim=1)","def grab_next_frame(self):\n if Rescue_PI.input_video_file_path is None:\n self.orig_frame = self.vs.read()\n self.frame = self.orig_frame.copy()\n else:\n _, self.frame = self.vs.read()\n # self.frame = cv2.rotate(self.frame, cv2.ROTATE_180)\n if self.frame is None:\n pass\n else:\n self.frame = imutils.resize(self.frame, width=frame_width_in_pixels)","def gen(camera):\n \n while True:\n \n \n \n frame = camera.get_frame()\n \n yield (b'--frame\\r\\n'\n b'Content-Type: image/jpeg\\r\\n\\r\\n' + frame + b'\\r\\n')","def apply(self, fn):\n return Frame(fn(self.rgb))","def process_frame(self, img):\n found = []\n for scale in self.settings['scales']:\n found.extend(find_cars(img, scale[0], scale[1], scale[2], scale[3], scale[4], self.clf, self.scaler,\n self.settings['color_space'], self.settings['orient'], self.settings['pix_per_cell'],\n self.settings['cell_per_block'], self.settings['spatial_size'],\n self.settings['hist_bins'], self.log, self.settings['min_conf']))\n\n self.prev_frames.append(found)\n if len(self.prev_frames) > self.settings['n_frames']:\n self.prev_frames.pop(0)\n heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\n for frame in self.prev_frames:\n f_heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\n add_heat(f_heatmap, frame)\n heatmap = heatmap * f_heatmap\n\n acc_heatmap = np.copy(heatmap)\n\n bboxes = find_bboxes_from_heatmap(apply_threshold(heatmap,\n self.settings['heat_threshold'] ** self.settings['n_frames']))\n\n if self.settings['DEBUG']:\n single_heatmap = add_heat(np.zeros_like(img[:, :, 0]).astype(np.float), found)\n single_heatmap = np.clip(single_heatmap, 0, 255)\n single_heatmap = np.dstack((single_heatmap, single_heatmap, single_heatmap))\n acc_heatmap = np.sqrt(acc_heatmap)\n acc_heatmap = np.clip(acc_heatmap, 0, 255)\n acc_heatmap = np.dstack((acc_heatmap, acc_heatmap, acc_heatmap))\n labels = np.clip(heatmap, 0, 1)*255\n labels = np.dstack((labels, labels, labels))\n final = draw_boxes(img, bboxes)\n frame = np.concatenate((np.concatenate((single_heatmap, acc_heatmap), axis=1),\n np.concatenate((labels, final), axis=1)), axis=0)\n return cv2.resize(frame, (int(frame.shape[1]/2), int(frame.shape[0]/2)))\n else:\n return draw_boxes(img, bboxes)","def update(self):\r\n\r\n # Update the vision frames in the system\r\n self._system.update()\r\n\r\n # Create blank PIL images to hold the video streams\r\n layered = PIL.Image.new('RGBA', (400, 400))\r\n stacked = PIL.Image.new('RGBA', (200, 800))\r\n control = PIL.Image.new('RGBA', (600, 800))\r\n\r\n focalpoint = self._system[self._appString[\"device\"].get()].focalpoint()\r\n # print(focalpoint)\r\n\r\n # Get each vision key and vision for the selected device\r\n visionList = [(visionKey, vision) for visionKey, vision in self._system[self._appString[\"device\"].get()]]\r\n\r\n # Loop through each vision in the vision list\r\n for i, (visionKey, vision) in enumerate(visionList):\r\n\r\n # Grab the frames from the vision when it is \"curr\"\r\n frameList = [frame for frameKey, frame in vision if frameKey==self._appString[\"frame\"].get()]\r\n\r\n # Loop through each frame in the frame list\r\n for frame in frameList:\r\n\r\n # Get the properties and turn the image into RGBA\r\n ratio, size = vision.properties()\r\n rgbFrame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)\r\n\r\n # print(rgbFrame.shape)\r\n width, height, channels = rgbFrame.shape\r\n\r\n # Paste the images together in layered\r\n\r\n imgFrame = PIL.Image.fromarray(cv2.resize(rgbFrame, (int(400 * ratio), int(400 * ratio))))\r\n layered.paste(imgFrame, (int(200 * (1 - ratio)), int(200 * (1 - ratio))))\r\n\r\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200 / width)), int(200 * (1 - ratio) - focalpoint[1] * (200 / height))))\r\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200 // width)), int(200 * (1 - ratio) - focalpoint[1] * (200 // height))))\r\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (ratio ** -1)), int(200 * (1 - ratio) - focalpoint[1] * (ratio ** -1))))\r\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200/width) / ratio), int(200 * (1 - ratio) - focalpoint[1] * (200/height) / ratio)))\r\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200 / width)), int(200 * (1 - ratio) - focalpoint[1] * (200 / height))))\r\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (ratio ** -1) / 200), int(200 * (1 - ratio) - focalpoint[1] * (ratio ** -1) / 200)))\r\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (400//width * (1- ratio))), int(200 * (1 - ratio) - focalpoint[1] * (400//height * (1 - ratio)))))\r\n\r\n # Paste the images together in stacked\r\n imgFrame = PIL.Image.fromarray(cv2.resize(rgbFrame, (200, 200)))\r\n stacked.paste(imgFrame, (0, 200 * i))\r\n\r\n # Add the stacked image to the canvas\r\n self._pilFrames[\"stacked\"] = PIL.ImageTk.PhotoImage(image=stacked)\r\n self._appCanvas[\"stacked\"].create_image(100, 0, image=self._pilFrames[\"stacked\"], anchor=tkinter.NW)\r\n\r\n # Add the layered image to the canvas\r\n self._pilFrames[\"layered\"] = PIL.ImageTk.PhotoImage(image=layered)\r\n self._appCanvas[\"layered\"].create_image(0, 0, image=self._pilFrames[\"layered\"], anchor=tkinter.NW)\r\n\r\n # Add the control image to the canvas\r\n imgFrame = cv2.cvtColor(self._system[self._appString[\"device\"].get()][self._appString[\"vision\"].get()][self._appString[\"frame\"].get()], cv2.COLOR_BGR2RGBA)\r\n control = PIL.Image.fromarray(cv2.resize(imgFrame, (600, 600)))\r\n self._pilFrames[\"control\"] = PIL.ImageTk.PhotoImage(image=control)\r\n self._appCanvas[\"control\"].create_image(100, 90, image=self._pilFrames[\"control\"], anchor=tkinter.NW)\r\n\r\n # Continue to update with a delay of 15\r\n self.after(15, self.update)","def start(self):\n\t\twhile self.capture_status:\n\t\t\t_, frame = self.cap.read()\n\t\t\tc_frame = frame[self.width / 2 - self.face_width / 2: self.width / 2 + self.face_width / 2,\n\t\t\t self.height / 2 - self.face_width / 2: self.height / 2 + self.face_height / 2, :]\n\t\t\tif not self.in_processing:\n\t\t\t\tself.frame = frame\n\t\t\t\tself.in_processing = True\n\t\t\tsleep(0.2)\n\t\tyield cv2.imdecode('png', c_frame)","def style_transfer_postprocess(preprocessed_frame: np.ndarray, image_shape: tuple):\n\n postprocessed_frame = np.squeeze(preprocessed_frame, axis=0)\n # select original height and width from image_shape\n frame_height = image_shape[0]\n frame_width = image_shape[1]\n postprocessed_frame = cv2.resize(postprocessed_frame, (frame_width, frame_height)).astype(\"float32\") * 255\n postprocessed_frame = cv2.cvtColor(postprocessed_frame, cv2.COLOR_RGB2BGR)\n\n return postprocessed_frame","def registerDepthFrame(self, frame):\n h, w = frame.shape[:2]\n frame = cv2.warpAffine(frame,self.depth2rgb_affine,(w,h))\n\n return frame","def pre_handler(frame):\n img_data, _im0 = preprocess(frame, IMAGE_HEIGHT, IMAGE_WIDTH, False)\n return kdp_wrapper.convert_float_to_rgba(img_data, 8, 520, True)","def gen():\n while True:\n retval, frame = vc.read()\n\n if retval:\n #image_processing(frame)\n frame = cv2.imencode('.jpg', frame)[1].tobytes()\n yield (b'--frame\\r\\n'\n b'Content-Type: image/jpeg\\r\\n\\r\\n' + frame + b'\\r\\n')","def process_frame(self, downsize):\n # if (not hasattr(downsize,'shape')) and (not hasattr(downsize,'len')):\n # downsize = np.array(downsize)\n\n if type(downsize) != np.ndarray:\n raise TypeError\n\n if not downsize.any():\n raise ValueError\n\n if self.pre_resize:\n downsize = cv2.resize(downsize, (0, 0), fx=self.resize_factor, fy=self.resize_factor)\n\n self.frame_history.append(downsize)\n\n # Remove no longer needed frames from memory\n self.frame_history = self.frame_history[-(self.LMC_rec_depth):]\n downsize = signal.lfilter(self.b, self.a, self.frame_history, axis=0)[-1]\n\n # Center surround antagonism kernel applied.\n\n downsize = cv2.filter2D(downsize, -1, self.CSKernel)\n\n # RTC filter.\n u_pos = deepcopy(downsize)\n u_neg = deepcopy(downsize)\n u_pos[u_pos < 0] = 0\n u_neg[u_neg > 0] = 0\n u_neg = -u_neg\n\n # On first step, instead of computing just save the images.\n if self.t == self.T0:\n self.v_pos_prev = deepcopy(u_pos)\n self.v_neg_prev = deepcopy(u_neg)\n self.u_pos_prev = deepcopy(u_pos)\n self.u_neg_prev = deepcopy(u_neg)\n\n # Do everything for pos == ON.\n tau_pos = u_pos - self.u_pos_prev\n tau_pos[tau_pos >= 0] = 0.001\n tau_pos[tau_pos < 0] = 0.1\n mult_pos = self.rtc_exp(self.dt, tau_pos)\n v_pos = -(mult_pos - 1) * u_pos + mult_pos * self.v_pos_prev\n self.v_pos_prev = deepcopy(v_pos)\n\n # Do everything for neg == OFF.\n tau_neg = u_neg - self.u_neg_prev\n tau_neg[tau_neg >= 0] = 0.001\n tau_neg[tau_neg < 0] = 0.1\n mult_neg = self.rtc_exp(self.dt, tau_neg)\n v_neg = -(mult_neg - 1) * u_neg + mult_neg * self.v_neg_prev\n self.v_neg_prev = deepcopy(v_neg)\n\n # keep track of previous u.\n self.u_pos_prev = deepcopy(u_pos)\n self.u_neg_prev = deepcopy(u_neg)\n\n # Subtract v from u to give the output of each channel.\n out_pos = u_pos - v_pos\n out_neg = u_neg - v_neg\n\n # Now apply yet another filter to both parts.\n out_pos = cv2.filter2D(out_pos, -1, self.H_filter)\n out_neg = cv2.filter2D(out_neg, -1, self.H_filter)\n out_pos[out_pos < 0] = 0\n out_neg[out_neg < 0] = 0\n\n if self.t == self.T0:\n self.out_neg_prev = deepcopy(out_neg)\n\n # Delay off channel.\n out_neg = signal.lfilter(self.b1, self.a1, [self.out_neg_prev, out_neg], axis=0)[-1]\n self.out_neg_prev = out_neg\n downsize = out_neg * out_pos\n\n # Show image.\n downsize *= self.gain\n downsize = np.tanh(downsize)\n\n # Threshold.\n downsize[downsize < self.threshold] = 0\n\n if not self.pre_resize:\n downsize = cv2.resize(downsize, (0, 0), fx=self.resize_factor, fy=self.resize_factor)\n\n self.t += self.dt\n\n return downsize","def calculate_frame(self):\n frame = self.stream.read()\n self.keypoints, self.image = self.openpose.forward(frame, True)","def pipeline(image, plot = False):\n # undistort image\n undistorted_image = undistort_image(image)\n \n # R&S|sobel-x thresholding\n _, _, _, _, threshold_image = thresholding(undistorted_image)\n \n # yellow mask\n _, mask_yellow = filter_color(undistorted_image, np.array([20,100,100]), np.array([50,255,255]))\n \n # white mask\n _, mask_white = filter_color(undistorted_image, np.array([0,0,220]), np.array([255,35,255]))\n \n # combine yellow and white mask\n mask = cv2.bitwise_or(mask_yellow, mask_white)\n comb_image = np.zeros_like(threshold_image)\n \n # combine mask and thresholded image\n comb_image[(mask > 0)&(threshold_image == 1)] = 1\n \n # warp the binary image\n warped_image, Minv = warp(comb_image, src, dst)\n if plot:\n plt.figure(2)\n plt.imshow(warped_image, cmap = \"gray\")\n plt.title(\"Binary warped image\")\n \n # calculate polynomial fit\n left_fitx, right_fitx, ploty, left_curverad, right_curverad, offset = fit_polynomial(warped_image, plot)\n \n # superimpose lines on top of the polynomial\n superimposed_image = mark_lane_lines(undistorted_image, warped_image, ploty, left_fitx, right_fitx, Minv)\n cv2.putText(superimposed_image, \"Left curvature = \" + str(np.round(left_curverad, 2)) + \" m\",(40,40), \\\n cv2.FONT_HERSHEY_PLAIN, 2, (255,0,0), 2)\n cv2.putText(superimposed_image,\"Right curvature = \" + str(np.round(right_curverad, 2)) + \" m\",(40,80), \\\n cv2.FONT_HERSHEY_PLAIN, 2, (255,0,0), 2)\n cv2.putText(superimposed_image,\"Offset = \" + str(np.round(offset*100, 2)) + \" cm\",(40,120), \\\n cv2.FONT_HERSHEY_PLAIN, 2, (255,0,0), 2)\n \n return superimposed_image","def process_image():\n global last_frame, is_streaming\n i=0\n\n imgproc = ImgProc()\n while(True):\n if last_frame is not None and is_streaming:\n time.sleep(0.1)\n\n print(\"Processing frame \", i)\n imgproc.detect_object(last_frame, i)\n print(\"Processing complete \", i)\n i+=1","def captureNextFrame(self):\n ret, readFrame=self.capture.read()\n if(ret==True):\n self.currentFrame=cv2.cvtColor(readFrame,cv2.COLOR_BGR2RGB)","def render(self, frame: Frame):\n\n cv2.imshow(winname=self.title, mat=frame)\n cv2.waitKey(delay=self.delay)\n\n if self.step:\n while cv2.waitKey(delay=0) != self.step_key:\n continue","def draw(self, frame):\n frame[OFS:OFS+self.image.shape[0], OFS:OFS+self.image.shape[1]] = self.image","def generate_video(head_model, tail_model, ctx_proc, n_frames, img_size, n_flow, n_block, temp=0.7, label=None):\n # lookup label embeddings as input to model\n\n image = generate_image(head_model, img_size, n_flow, n_block, 1, temp, label=label)\n frames = [image]\n state = torch.zeros(1, ctx_proc.nc_state, img_size, img_size).to(device)\n for j in range(n_frames-1):\n prev_frame = frames[-1]\n ctx=prev_frame\n if args.use_state:\n # produce new state given the previous frame\n state = ctx_proc(prev_frame, state)\n state = ctx_proc.norms[j](state) # normalize each state across all frames\n # add state to context for glow to generate from\n ctx = torch.cat([ctx, state], dim=1)\n\n frame = generate_image(tail_model, img_size, n_flow // 32, n_block, 1, temp, ctx=ctx)\n #frame = frames[-1] + delta\n frames.append(frame)\n result = torch.stack(frames, dim=1).squeeze(0)\n return result","def stream_frames(video_capture):","def run(self):\n while True:\n global currentFrame\n\n temp = getImageNumber(currentFrame)\n angle = getMeasurement(currentFrame) * -60\n height, width, depth = temp.shape\n newimg = cv2.resize(temp, (width * 3, height * 3))\n newimg = cv2.cvtColor(newimg, cv2.COLOR_RGB2RGBA)\n\n s_img = cv2.imread(\"up.png\", -1)\n s_img = self.rotateImage(s_img, angle)\n s_img = cv2.resize(s_img, (50,50))\n y_offset = 400\n x_offset = 50\n y1, y2 = y_offset, y_offset + s_img.shape[0]\n x1, x2 = x_offset, x_offset + s_img.shape[1]\n\n alpha_s = s_img[:, :, 3] / 255.0\n alpha_l = 1.0 - alpha_s\n\n for c in range(0, 3):\n newimg[y1:y2, x1:x2, c] = (alpha_s * s_img[:, :, c] +\n alpha_l * newimg[y1:y2, x1:x2, c])\n\n font = cv2.FONT_HERSHEY_SIMPLEX\n cv2.putText(newimg, str(currentFrame), (10, 50), font, 2, (255, 255, 255), 2, cv2.LINE_AA)\n cv2.imshow('image', newimg)\n cv2.waitKey(1)","def imaging(input_model, reference_files):\n detector = cf.Frame2D(name='detector', axes_order=(0, 1), unit=(u.pix, u.pix))\n v2v3 = cf.Frame2D(name='v2v3', axes_order=(0, 1), unit=(u.deg, u.deg))\n world = cf.CelestialFrame(reference_frame=coord.ICRS(), name='world')\n\n subarray2full = subarray_transform(input_model)\n imdistortion = imaging_distortion(input_model, reference_files)\n distortion = subarray2full | imdistortion\n distortion.bounding_box = imdistortion.bounding_box\n del imdistortion.bounding_box\n tel2sky = pointing.v23tosky(input_model)\n pipeline = [(detector, distortion),\n (v2v3, tel2sky),\n (world, None)]\n return pipeline","def pipeline(self,img,debug=0):\n\t\timg = self.cam.undist(img)\n\t\t#get warped binary image\n\t\tbinary_warped = self.cam.warp(Image(img).binary_th())\n\t\tbw_shape = binary_warped.shape\n\t\t\n\t\tif (self.leftLine.detected == True and self.rightLine.detected == True):\n\t\t\tself.quick_search(binary_warped,debug)\n\t\telse:\n\t\t\tself.blind_search(binary_warped,debug)\n\t\n\t\tif (self.leftLine.fit!=None and self.rightLine.fit!=None):\n\t\t\tpolygon = self.fill_lane(bw_shape)\n\t\t\tunwarped_polygon = self.cam.unwarp(polygon)\n\t\t\t# calculate position of lane's center \n\t\t\ttemp = np.nonzero(unwarped_polygon[-1,:,1])[0]\n\t\t\tleft, right = temp[0], temp[-1]\n\t\t\tself.center = (int(bw_shape[1]/2) - (int((right-left)/2)+int(left)))*7.4/1280\n\t\t\timg_lines = weighted_img(unwarped_polygon,img, α=1, β=0.5, λ=0.)\n\t\t\t# write text on image\n\t\t\tfont = cv2.FONT_HERSHEY_SIMPLEX\n\t\t\ttext1 = 'Radius of Curvature: {:.0f}m'.format(np.mean((self.leftLine.radius, self.rightLine.radius)))\n\t\t\ttext2 = 'Distance is {:.2f}m {} of center'.format(abs(self.center), 'left' if self.center<0 else 'right')\n\n\t\t\tcv2.putText(img_lines, text1, (100,100), font, 1,(255,255,255),2)\n\t\t\tcv2.putText(img_lines, text2 ,(100,140), font, 1,(255,255,255),2)\n\t\t\t\n\t\t\tif (debug==1):\n\t\t\t\tshow_2gr(polygon, unwarped_polygon)\n\t\t\t\tshow_2gr(binary_warped, unwarped_polygon)\n\n\t\t\treturn img_lines\n\n\t\telse:\n\t\t\t# no lines detected and not fit available: return original image\n\t\t\t# without lines\n\t\t\treturn img","def concatenate_frames(I, Stokes, AOP, DOP, path_process, k, imgs_polar): #, Min, Max, im_cos, im_sin, rho, phi):\n\n \"\"\"# Fusion\n im_fusion = np.zeros((500, 500, 5), dtype=int)\n im_fusion[:, :, 0] = Stokes[0]\n im_fusion[:, :, 1] = Stokes[1]\n im_fusion[:, :, 2] = Stokes[2]\n im_fusion[:, :, 3] = AOP\n im_fusion[:, :, 4] = DOP\n if not os.path.exists(path_process + \"Fusion/\"):\n os.mkdir(path_process + \"Fusion/\")\n np.save(path_process + \"Fusion/\" + imgs_polar[k].split(\".\")[0], im_fusion.astype(np.uint8))\"\"\"\n\n \"\"\"# RetinaNet intensities\n im_I04590 = np.zeros((500, 500, 3))\n im_I04590[:, :, 0] = I[0]\n im_I04590[:, :, 1] = I[1]\n im_I04590[:, :, 2] = I[2]\n if not os.path.exists(path_process + \"I04590/\"):\n os.mkdir(path_process + \"I04590/\")\n imageio.imwrite(path_process + \"I04590/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_I04590)\n\n # Min Max total intensity\n im_min_max = np.zeros((500, 500, 3))\n im_min_max[:, :, 0] = Stokes[0]\n im_min_max[:, :, 1] = Max\n im_min_max[:, :, 2] = Min\n if not os.path.exists(path_process + \"MinMax/\"):\n os.mkdir(path_process + \"MinMax/\")\n imageio.imwrite(path_process + \"MinMax/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_min_max)\n\n # Cos Sin total intensity\n im_cos_sin = np.zeros((500, 500, 3))\n im_cos_sin[:, :, 0] = Stokes[0]\n im_cos_sin[:, :, 1] = im_cos\n im_cos_sin[:, :, 2] = im_sin\n if not os.path.exists(path_process + \"CosSin/\"):\n os.mkdir(path_process + \"CosSin/\")\n imageio.imwrite(path_process + \"CosSin/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_cos_sin)\"\"\"\n\n \"\"\"# Cos Sin total intensity\n im_cos_sin = np.zeros((500, 500, 3))\n im_cos_sin[:, :, 0] = DOP\n im_cos_sin[:, :, 1] = im_cos\n im_cos_sin[:, :, 2] = im_sin\n if not os.path.exists(path_process + \"CosSin2_s/\"):\n os.mkdir(path_process + \"CosSin2_s/\")\n imageio.imwrite(path_process + \"CosSin2_s/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_cos_sin)\"\"\"\n\n\n \"\"\"im_I045135 = np.zeros((500, 500, 3))\n im_I045135[:, :, 0] = I[0]\n im_I045135[:, :, 1] = I[3]\n im_I045135[:, :, 2] = I[1]\n if not os.path.exists(path_process + \"I013545/\"):\n os.mkdir(path_process + \"I013545/\")\n imageio.imwrite(path_process + \"I013545/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_I045135)\n\n im_I090135 = np.zeros((500, 500, 3))\n im_I090135[:, :, 0] = I[0]\n im_I090135[:, :, 1] = I[2]\n im_I090135[:, :, 2] = I[3]\n if not os.path.exists(path_process + \"I090135/\"):\n os.mkdir(path_process + \"I090135/\")\n imageio.imwrite(path_process + \"I090135/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_I090135)\n\n im_I4590135 = np.zeros((500, 500, 3))\n im_I4590135[:, :, 0] = I[1]\n im_I4590135[:, :, 1] = I[2]\n im_I4590135[:, :, 2] = I[3]\n if not os.path.exists(path_process + \"I4590135/\"):\n os.mkdir(path_process + \"I4590135/\")\n imageio.imwrite(path_process + \"I4590135/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_I4590135)\n\n im_I090135 = np.zeros((500, 500, 3))\n im_I090135[:, :, 0] = I[0] - I[1]\n im_I090135[:, :, 1] = I[0]\n im_I090135[:, :, 2] = I[0] + I[1]\n if not os.path.exists(path_process + \"RetinaNet_Ieq1/\"):\n os.mkdir(path_process + \"RetinaNet_Ieq1/\")\n imageio.imwrite(path_process + \"RetinaNet_Ieq1/\" + str(k) + \".png\", im_I090135)\n\n im_I090135 = np.zeros((500, 500, 3))\n im_I090135[:, :, 0] = I[0] - I[3]\n im_I090135[:, :, 1] = I[0]\n im_I090135[:, :, 2] = I[0] + I[3]\n if not os.path.exists(path_process + \"RetinaNet_Ieq2/\"):\n os.mkdir(path_process + \"RetinaNet_Ieq2/\")\n imageio.imwrite(path_process + \"RetinaNet_Ieq2/\" + str(k) + \".png\", im_I090135)\n\n im_I090135 = np.zeros((500, 500, 3))\n im_I090135[:, :, 0] = I[1] - I[2]\n im_I090135[:, :, 1] = I[1]\n im_I090135[:, :, 2] = I[1] + I[2]\n if not os.path.exists(path_process + \"RetinaNet_Ieq3/\"):\n os.mkdir(path_process + \"RetinaNet_Ieq3/\")\n imageio.imwrite(path_process + \"RetinaNet_Ieq3/\" + str(k) + \".png\", im_I090135)\n\n im_I090135 = np.zeros((500, 500, 3))\n im_I090135[:, :, 0] = I[0]/I[1]\n im_I090135[:, :, 1] = I[0]/I[2]\n im_I090135[:, :, 2] = I[0]/I[3]\n if not os.path.exists(path_process + \"RetinaNet_Ieq4/\"):\n os.mkdir(path_process + \"RetinaNet_Ieq4/\")\n imageio.imwrite(path_process + \"RetinaNet_Ieq4/\" + str(k) + \".png\", im_I090135)\n\n im_I4590135 = np.zeros((500, 500, 3))\n im_I4590135[:, :, 0] = I[0]\n im_I4590135[:, :, 1] = I[0]/I[1]\n im_I4590135[:, :, 2] = I[0]/I[2]\n if not os.path.exists(path_process + \"RetinaNet_eq5/\"):\n os.mkdir(path_process + \"RetinaNet_eq5/\")\n imageio.imwrite(path_process + \"RetinaNet_eq5/\" + str(k) + \".png\", im_I4590135)\n\n im_I4590135 = np.zeros((500, 500, 3))\n im_I4590135[:, :, 0] = I[0]\n im_I4590135[:, :, 1] = I[0] / I[2]\n im_I4590135[:, :, 2] = I[0] / I[3]\n if not os.path.exists(path_process + \"RetinaNet_eq6/\"):\n os.mkdir(path_process + \"RetinaNet_eq6/\")\n imageio.imwrite(path_process + \"RetinaNet_eq6/\" + str(k) + \".png\", im_I4590135)\n\n im_I4590135 = np.zeros((500, 500, 3))\n im_I4590135[:, :, 0] = I[1] / I[0]\n im_I4590135[:, :, 1] = I[1] / I[2]\n im_I4590135[:, :, 2] = I[1] / I[3]\n if not os.path.exists(path_process + \"RetinaNet_eq7/\"):\n os.mkdir(path_process + \"RetinaNet_eq7/\")\n imageio.imwrite(path_process + \"RetinaNet_eq7/\" + str(k) + \".png\", im_I4590135)\n\n im_I4590135 = np.zeros((500, 500, 3))\n im_I4590135[:, :, 0] = I[2] / I[0]\n im_I4590135[:, :, 1] = I[2] / I[1]\n im_I4590135[:, :, 2] = I[2] / I[3]\n if not os.path.exists(path_process + \"RetinaNet_eq8/\"):\n os.mkdir(path_process + \"RetinaNet_eq8/\")\n imageio.imwrite(path_process + \"RetinaNet_eq8/\" + str(k) + \".png\", im_I4590135)\n\n im_I4590135 = np.zeros((500, 500, 3))\n im_I4590135[:, :, 0] = I[3] / I[0]\n im_I4590135[:, :, 1] = I[3] / I[1]\n im_I4590135[:, :, 2] = I[3] / I[2]\n if not os.path.exists(path_process + \"RetinaNet_eq9/\"):\n os.mkdir(path_process + \"RetinaNet_eq9/\")\n imageio.imwrite(path_process + \"RetinaNet_eq9/\" + str(k) + \".png\", im_I4590135)\n\n im_I4590135 = np.zeros((500, 500, 3))\n im_I4590135[:, :, 0] = I[0]/I[1]\n im_I4590135[:, :, 1] = I[0] / I[2]\n im_I4590135[:, :, 2] = DOP/255\n if not os.path.exists(path_process + \"RetinaNet_eq10/\"):\n os.mkdir(path_process + \"RetinaNet_eq10/\")\n imageio.imwrite(path_process + \"RetinaNet_eq10/\" + str(k) + \".png\", im_I4590135)\"\"\"\n\n # retinaNet Stokes\n im_Stokes = np.zeros((Stokes.shape[1], Stokes.shape[2], 3))\n im_Stokes[:, :, 0] = Stokes[0]\n im_Stokes[:, :, 1] = Stokes[1]\n im_Stokes[:, :, 2] = Stokes[2]\n if not os.path.exists(path_process + \"Stokes/\"):\n os.mkdir(path_process + \"Stokes/\")\n imageio.imwrite(path_process + \"Stokes/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_Stokes)\n \"\"\"\n\n # RetinaNet Params\n im_Params = np.zeros((500, 500, 3))\n im_Params[:, :, 0] = Stokes[0]\n im_Params[:, :, 1] = AOP\n im_Params[:, :, 2] = DOP\n if not os.path.exists(path_process + \"Params/\"):\n os.mkdir(path_process + \"Params/\")\n imageio.imwrite(path_process + \"Params/\" + imgs_polar[k].split(\".\")[0] + \".png\", im_Params)\"\"\"\n\n \"\"\"# HSV image\n HSV = np.zeros((500, 500, 3))\n HSV[:, :, 0] = AOP / 255 * 179\n HSV[:, :, 1] = DOP\n HSV[:, :, 2] = Stokes[0]\n if not os.path.exists(path_process + \"HSV/\"):\n os.mkdir(path_process + \"HSV/\")\n imageio.imwrite(path_process + \"HSV/\" + imgs_polar[k].split(\".\")[0] + \".png\", HSV)\"\"\"\n\n \"\"\"inten = (I[0] + I[1] + I[2] + I[3]) / 2\n\n hsv = np.uint8(cv2.merge(((phi + np.pi/2)/np.pi*180,rho/np.max(rho)*255, inten/inten.max()*255)))\n if not os.path.exists(path_process + \"HSV_2/\"):\n os.mkdir(path_process + \"HSV_2/\")\n imageio.imwrite(path_process + \"HSV_2/\" + imgs_polar[k].split(\".\")[0] + \".png\", hsv)\"\"\"\n\n \"\"\"# TSV image\n TSV = np.zeros((500, 500, 3))\n TSV[:, :, 0] = AOP\n TSV[:, :, 1] = DOP\n TSV[:, :, 2] = inten / inten.max() * 255\n if not os.path.exists(path_process + \"RetinaNet_TSV/\"):\n os.mkdir(path_process + \"RetinaNet_TSV/\")\n imageio.imwrite(path_process + \"RetinaNet_TSV/\" + str(k) + \".png\", TSV)\n\n # Pauli image\n Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[2]\n Pauli[:, :, 1] = I[1]\n Pauli[:, :, 2] = I[0]\n if not os.path.exists(path_process + \"RetinaNet_Pauli/\"):\n os.mkdir(path_process + \"RetinaNet_Pauli/\")\n imageio.imwrite(path_process + \"RetinaNet_Pauli/\" + str(k) + \".png\", Pauli)\"\"\"\n\n \"\"\"Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[0] + I[2]\n Pauli[:, :, 1] = I[1]\n Pauli[:, :, 2] = I[0] - I[2]\n if not os.path.exists(path_process + \"Pauli2/\"):\n os.mkdir(path_process + \"Pauli2/\")\n imageio.imwrite(path_process + \"Pauli2/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\"\"\"\n\n \"\"\"Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[0] + I[2]\n Pauli[:, :, 1] = I[1]\n Pauli[:, :, 2] = I[0] - I[2]\n if not os.path.exists(path_process + \"Pauli2_inv/\"):\n os.mkdir(path_process + \"Pauli2_inv/\")\n imageio.imwrite(path_process + \"Pauli2_inv/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\"\"\"\n\n \"\"\"Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = Stokes[0]\n Pauli[:, :, 1] = I[1]\n Pauli[:, :, 2] = Stokes[1]\n if not os.path.exists(path_process + \"Pauli2/\"):\n os.mkdir(path_process + \"Pauli2/\")\n imageio.imwrite(path_process + \"Pauli2/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\n\n Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[0]\n Pauli[:, :, 1] = (I[1]+I[3])/2\n Pauli[:, :, 2] = I[2]\n if not os.path.exists(path_process + \"Sinclair/\"):\n os.mkdir(path_process + \"Sinclair/\")\n imageio.imwrite(path_process + \"Sinclair/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\n\n Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = Stokes[0]\n Pauli[:, :, 1] = I[1] + I[3]\n Pauli[:, :, 2] = Stokes[1]\n if not os.path.exists(path_process + \"Pauli/\"):\n os.mkdir(path_process + \"Pauli/\")\n imageio.imwrite(path_process + \"Pauli/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\n\n Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[0]\n Pauli[:, :, 1] = I[2]\n Pauli[:, :, 2] = DOP\n if not os.path.exists(path_process + \"Test/\"):\n os.mkdir(path_process + \"Test/\")\n imageio.imwrite(path_process + \"Test/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\n\n Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[1]\n Pauli[:, :, 1] = I[3]\n Pauli[:, :, 2] = DOP\n if not os.path.exists(path_process + \"Test1/\"):\n os.mkdir(path_process + \"Test1/\")\n imageio.imwrite(path_process + \"Test1/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\n\n Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[0]\n Pauli[:, :, 1] = I[3]\n Pauli[:, :, 2] = DOP\n if not os.path.exists(path_process + \"Test2/\"):\n os.mkdir(path_process + \"Test2/\")\n imageio.imwrite(path_process + \"Test2/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\n\n Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[0]\n Pauli[:, :, 1] = I[1] + I[2] - I[3]\n Pauli[:, :, 2] = DOP\n if not os.path.exists(path_process + \"Test3/\"):\n os.mkdir(path_process + \"Test3/\")\n imageio.imwrite(path_process + \"Test3/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\"\"\"\n\n \"\"\"Pauli = np.zeros((500, 500, 3))\n Pauli[:, :, 0] = I[0]\n Pauli[:, :, 1] = I[1]\n Pauli[:, :, 2] = (I[0]/I[1]) #/ np.amax(I[0] / I[1]) * 255\n if not os.path.exists(path_process + \"Pauli3/\"):\n os.mkdir(path_process + \"Pauli3/\")\n imageio.imwrite(path_process + \"Pauli3/\" + imgs_polar[k].split(\".\")[0] + \".png\", Pauli)\n\n Rachel = np.zeros((500, 500, 3))\n Rachel[:, :, 0] = Stokes[0]\n Rachel[:, :, 1] = Stokes[1]\n Rachel[:, :, 2] = DOP\n if not os.path.exists(path_process + \"RetinaNet_Rachel/\"):\n os.mkdir(path_process + \"RetinaNet_Rachel/\")\n imageio.imwrite(path_process + \"RetinaNet_Rachel/\" + str(k) + \".png\", Rachel)\n\n Rachel = np.zeros((500, 500, 3))\n Rachel[:, :, 0] = I[1]\n Rachel[:, :, 1] = I[0]\n Rachel[:, :, 2] = DOP\n if not os.path.exists(path_process + \"RetinaNet_Rachel2/\"):\n os.mkdir(path_process + \"RetinaNet_Rachel2/\")\n imageio.imwrite(path_process + \"RetinaNet_Rachel2/\" + str(k) + \".png\", Rachel)\"\"\"","def observation(self, frame):\n frame = cv2.resize(frame, (self.width, self.height), interpolation=cv2.INTER_AREA)\n return frame","def execute_pipeline(userId, srcDir, srcName, isShinobi):\n # print(f'{userId} - {srcDir} - {srcName}')\n videoSrc = srcDir + '/' + srcName \n metaDataDict = extract_metadata(videoSrc)\n\n video_id = write_metadata(\n userId, \n srcName,\n metaDataDict[\"width\"], \n metaDataDict[\"height\"], \n metaDataDict[\"fps\"], \n metaDataDict[\"numframes\"]\n )\n \n # Splitting up \n print(\"***************** Splitting up... *****************\")\n call([\n movieToFrames, \n videoSrc, \n str(metaDataDict[\"fps\"]), \n srcDir + \"\"\"/frames%d.png\"\"\"\n ])\n \n # Processing\n shapePoints = []\n pupilPoints = []\n skullPoints = []\n print(\"Starting landmark detection...\")\n print(\"***************** Starting landmark detection... *****************\")\n for i in range(1, metaDataDict[\"numframes\"] + 1):\n imgPath = srcDir + \"/frames\" + str(i) + \".png\"\n imgDest = srcDir + \"/landmark\" + str(i) + \".png\"\n tempDict = detectLandmarks(imgPath, imgDest, isShinobi)\n shapePoints.append(tempDict[\"shape\"])\n pupilPoints.append(tempDict[\"pupils\"])\n skullPoints.append(tempDict[\"rotation\"])\n \n # Merging\n print(\"***************** Starting stiching up... *****************\")\n call([\n framesToMovie, \n str(metaDataDict[\"fps\"]), \n str(metaDataDict[\"width\"]) + \"x\" + str(metaDataDict[\"height\"]), \n str(metaDataDict[\"numframes\"]),\n srcDir + \"\"\"/landmark%d.png\"\"\", \n srcDir + \"/\" + str(userId) + '_' + srcName\n ])\n \n write_pupils(video_id, pupilPoints)\n write_landmarks(video_id, shapePoints)\n write_skull(video_id, skullPoints)\n\n with open(srcDir + \"/\" + str(userId) + '_' + srcName + '.json', 'w') as cache: \n metaDataDict[\"video_id\"] = video_id\n json.dump(metaDataDict, cache)","def preprocess(self, frame: np.ndarray) -> torch.TensorType:\n tensor = cv.resize(frame, (self.IMGSZ, self.IMGSZ)) \n tensor = tensor.transpose(2, 0, 1)\n tensor = torch.from_numpy(tensor)\n tensor = torch.unsqueeze(tensor, 0)\n tensor = tensor.half() if self.half else tensor.float()\n tensor = tensor / 255.0\n tensor = tensor.to(self.device)\n\n return tensor","def process(self):\n frame_count = 0\n size = self.frame.size\n while True:\n try:\n for i in range(parallel.BUFFER_LENGTH):\n offset = i * size;\n self.manager.image[offset : offset + size] = self.frame.ravel()\n self.ret, self.frame = self.capture.read()\n if not self.ret:\n self.clear_buffer(offset=offset + size + 1)\n raise StopIteration\n if DEBUG_LEVEL > 2:\n cv.imshow(self.name, self.frame)\n frame_count += 1\n key = cv.waitKey(self.toggle)\n if key is 27:\n raise StopIteration\n return\n elif key is 32:\n self.toggle ^= 1\n self.manager.detect()\n self.barrier.wait()\n except StopIteration:\n # Handle dangling frames in buffer and return gracefully\n self.manager.detect()\n self.barrier.wait()\n self.cleanup()\n try:\n # Handle rangequits in Phase 1\n for rv in self.variables:\n for event in rv['events']:\n if event['event_subtype'] == \"Finish\":\n return self.variables\n return None\n except:\n # Phase 0 -- no handling\n return self.variables\n except:\n # Any other exception is bad!\n return None","def createPipeline(self, w):\n\n # code will make the ximagesink output in the specified window\n def set_xid(window):\n gtk.gdk.threads_enter()\n sink.set_xwindow_id(window.window.xid)\n sink.expose()\n gtk.gdk.threads_leave()\n\n # this code receives the messages from the pipeline. if we\n # need to set X11 id, then we call set_xid\n def bus_handler(unused_bus, message):\n if message.type == gst.MESSAGE_ELEMENT:\n if message.structure.get_name() == 'prepare-xwindow-id':\n set_xid(w)\n return gst.BUS_PASS\n\n # create our pipeline, and connect our bus_handler\n self.pipeline = gst.Pipeline()\n bus = self.pipeline.get_bus()\n bus.set_sync_handler(bus_handler)\n\n sink = gst.element_factory_make(\"ximagesink\", \"sink\")\n sink.set_property(\"force-aspect-ratio\", True)\n sink.set_property(\"handle-expose\", True)\n scale = gst.element_factory_make(\"videoscale\", \"scale\")\n cspace = gst.element_factory_make(\"ffmpegcolorspace\", \"cspace\")\n\n # our pipeline looks like this: ... ! cspace ! scale ! sink\n self.pipeline.add(cspace, scale, sink)\n scale.link(sink)\n cspace.link(scale)\n return (self.pipeline, cspace)","def convertFrame(self):\n try:\n height,width=self.currentFrame.shape[:2]\n img=QtGui.QImage(self.currentFrame,\n width,\n height,\n QtGui.QImage.Format_RGB888)\n img=QtGui.QPixmap.fromImage(img)\n self.previousFrame = self.currentFrame\n return img\n except:\n return None","def new_image_callback(self, new_image_msg):\n self.process_new_frame(\n self.cv_bridge.imgmsg_to_cv2(\n new_image_msg,\n desired_encoding=\"bgr8\"\n )\n )","def create_final_image(full_frame):\n quad_a = full_frame[0, :, :]\n quad_b = full_frame[1, :, :]\n quad_c = full_frame[2, :, :]\n quad_d = full_frame[3, :, :]\n uv_ccd = np.concatenate((quad_d, np.fliplr(quad_c)),\n axis=1)\n visible_ccd = np.concatenate((np.flipud(quad_a), np.rot90(quad_b, 2)),\n axis=1)\n processed_image = np.concatenate((uv_ccd, visible_ccd), axis=0)\n return processed_image","def add_image_to_frame_list(self,startFrame, endFrame, imageName): \n for i in range(startFrame-1, endFrame-1):\n try:\n # image = imageio.imread(imageName)\n im = Image.open(imageName)\n im = im.resize((720, 720))\n self.frame_list.append(im)\n # self.frame_list.append(im)\n\n except:\n print (imageName, \" not found.\")\n # BufferedImage bi= new BufferedImage(320,240,BufferedImage.TYPE_BYTE_GRAY);\n im=self.blank\n self.frame_list.append(im)","def process(\n self,\n image: np.array\n ) -> np.array:\n pass","def annotated_frame(self, original_frame):\n frame = original_frame.copy()\n\n if self.pupils_located:\n color = (0, 255, 0)\n x_left, y_left = self.pupil_left_coords()\n x_right, y_right = self.pupil_right_coords()\n cv2.line(frame, (x_left - 5, y_left), (x_left + 5, y_left), color)\n cv2.line(frame, (x_left, y_left - 5), (x_left, y_left + 5), color)\n cv2.line(frame, (x_right - 5, y_right), (x_right + 5, y_right), color)\n cv2.line(frame, (x_right, y_right - 5), (x_right, y_right + 5), color)\n\n return frame","def NextFrame(self, event):\n buffer = self.GetDataBuffer()\n if buffer is not None:\n # Update bitmap widget with new image frame:\n self.bitmap.CopyFromBuffer(buffer)\n # Refresh panel to draw image into bitmap:\n self.Refresh()\n pass","def run(input_video_file, output_video_file):\n print(\"Debut de la transformation du format de la video\")\n #récupération de la vidéo\n video = cv2.VideoCapture(input_video_file)\n #fps de la vidéo\n fps = video.get(cv2.CAP_PROP_FPS)\n #largeur des images de la vidéo\n width_video = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))\n #hauteur des images de la vidéo\n height_video = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))\n #nombre d'images dans la vidéo\n frame_count = int(video.get(cv2.CAP_PROP_FRAME_COUNT))\n #durée de la vidéo\n duration = frame_count/fps\n #nouvelle durée de la vidéo (on arrondi)\n new_duration = math.floor(duration)\n #nouveau fps de la vidéo\n new_fps = float(round(fps))\n #appliquer le nouveau fps\n video.set(cv2.CAP_PROP_FPS,new_fps)\n #appliquer la nouvelle durée\n print(new_duration)\n print(new_fps)\n print(new_duration*new_fps)\n new_frame_count = new_duration*new_fps\n video.set(cv2.CAP_PROP_FRAME_COUNT,new_duration*new_fps)\n #déffinition du format de la vidéo en sortie\n video_out = cv2.VideoWriter(output_video_file,0x7634706d,new_fps,(width_video,height_video),True)\n \n count = 0\n #ouverture de la vidéo\n while(video.isOpened()):\n #lecture image par image\n ret, frame = video.read()\n if ret==True:\n\n #ecriture de l'image dans la vidéo en sortie\n video_out.write(frame)\n count = count + 1\n \n if (count > (new_frame_count-1)):\n # Libérer la vidéo\n video.release()\n break\n else:\n break\n\n print(\"fin de la transformation\")\n #fermer les vidéos\n video.release()\n video_out.release()","def player_processframe_event(self, frame):\n\t\tpaths = self._panel_path.value.datasets\n\t\tareas = self._panel_area.value.datasets\n\t\tcolors = self._panel_colors.value.datasets\n\t\timages = self._panel_imgs.value.images\n\n\t\t# check if should use the current frame or an image selected to background\n\t\tframe = frame if len(images)!=1 else images[0].image.copy()\n\t\tindex = self._player.video_index-1\n\t\n\t\tfor path in paths:\n\t\t\t# draw the path if the option is selected\n\t\t\tif self._drawpath.value: path.draw_path(frame, None, index)\n\n\t\t\tarea = self.get_object_area(path, areas, index)\n\t\t\tif area is not None:\n\t\t\t\tcolor \t = self.get_object_color(path, colors, index)\n\t\t\t\tposition = path.get_position(index)\n\t\t\t\t\n\t\t\t\tif position is not None and area is not None and color is not None:\n\t\t\t\t\tradius = int(round(math.sqrt(area/math.pi)))\t\t\t\t\n\t\t\t\t\tcv2.circle(frame, position, radius, color, -1)\n\n\t\tself.draw_events(index, frame)\n\n\t\treturn frame","def annotated_frame(self):\n frame = self.frame.copy()\n if self.pupils_located:\n color = (0, 255, 0)\n x_left, y_left = self.pupil_left_coords()\n x_right, y_right = self.pupil_right_coords()\n # cv2.line(frame, (x_left - 5, y_left), (x_left + 5, y_left), color)\n # cv2.line(frame, (x_left, y_left - 5), (x_left, y_left + 5), color)\n # cv2.line(frame, (x_right - 5, y_right), (x_right + 5, y_right), color)\n # cv2.line(frame, (x_right, y_right - 5), (x_right, y_right + 5), color)\n return frame","def registerDepthFrame(self, frame):\n frame = cv2.warpAffine(frame, self.depth2rgb_affine,\n (frame.shape[1], frame.shape[0]))\n return frame","def visualize_flow(src, flow_comp_func):\n\n # Flag specifying whether this is the first frame or not.\n first_frame = True\n \n # Initialize video stream.\n video_capture = cv2.VideoCapture(src)\n if not video_capture.isOpened():\n raise RuntimeError(\"Error opening video stream.\")\n \n # Previous frame buffer and results array.\n prev = None\n res = []\n \n # Set frame counter.\n count = 0\n FRAME_LIM = 200\n \n # While there is video and while below frame index limit.\n while video_capture.isOpened() and count < FRAME_LIM:\n\n # Increment frame count.\n count += 1\n print(\"Processing frame {0}/{1}\".format(count, FRAME_LIM))\n\n # Get next frame.\n ret, frame = video_capture.read()\n if ret:\n frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n \n # If first frame ...\n if first_frame:\n \n # Set frame as previous frame.\n prev = frame_gray\n prev_original = frame\n \n # Set first frame flag to false.\n first_frame = False\n\n else:\n\n # Compute flow using current frame and frame\n # in previous buffer.\n u, v = flow_comp_func(prev.astype(float)/255.0, frame_gray.astype(float)/255.0)\n \n\n ### TODO - remove ###\n # import pdb\n # pdb.set_trace()\n # fig2, ((ax2_11, ax2_12), (ax2_21, ax2_22)) = plt.subplots(2, 2)\n # ax2_11.imshow(prev)\n # ax2_12.imshow(frame_gray)\n # show_flow(u, v, ax2_21, type='angle')\n # show_flow(u, v, ax2_22, type='field', set_aspect=True)\n # fig2.suptitle('Horn−Schunck Optical Flow')\n ######\n\n # Add optical flow visualization to image in prev buffer.\n vis_nxt = superimpose_field(u, v, prev_original)\n\n prev = frame_gray\n prev_original = frame\n\n # Store visualization in results buffer\n res.append(vis_nxt)\n\n else:\n break\n \n # Release stream.\n video_capture.release()\n\n # Create gif file from images.\n imageio.mimsave('roundabout_hs.gif', res)","def motion_extraction():\n # iterate through frames\n global frame_height, frame_width\n global limb_coords, init_coords\n frame_count = 0\n has_frames, frame = capture.read()\n\n while has_frames:\n img_out = frame.copy()\n img_out = insert_padding(img_out, 14*14, 12*14)\n\n if frame_count == 0:\n # change global values of height and width\n frame_height = frame_height + 14*14*2\n frame_width = frame_width + 12*14*2\n get_start_positions(img_out)\n img_out2 = segment_red(img_out, 200, 130)\n #erode(img_out2, 4, 6)\n remove_artifacts(img_out2)\n #enhance_contrast(img_out2)\n\n if frame_count > 0:\n get_motion(prev_frame, img_out2, frame_count)\n\n prev_frame = img_out2.copy()\n frame_count += 1\n has_frames, frame = capture.read()","def gen(camera):\n #time.sleep(3)\n while True:\n frame = camera.get_frame()\n yield (b'--frame\\r\\n'\n b'Content-Type: image/jpeg\\r\\n\\r\\n' + frame + b'\\r\\n')","def augment(self, image):\n pass","def splitTransform(self):\n\t\t#path_merge = \"transform\"\n\t\t#path_train = \"transform/data/\"\n\t\t#path_label = \"transform/label/\"\n\t\tpath_merge = \"train/merge\"\n\t\tpath_train = \"train/image\"\n\t\tpath_label = \"train/label\"\n\t\ttrain_imgs = glob.glob(path_merge+\"/*.\"+self.img_type)\n\t\tfor imgname in train_imgs:\n\t\t\tmidname = imgname[imgname.rindex(\"/\")+1:imgname.rindex(\".\"+self.img_type)]\n\t\t\timg = cv2.imread(imgname)\n\t\t\timg_train = img[:,:,2]#cv2 read image rgb->bgr\n\t\t\timg_label = img[:,:,0]\n\t\t\tcv2.imwrite(path_train+midname+\".\"+self.img_type,img_train)\n\t\t\tcv2.imwrite(path_label+midname+\".\"+self.img_type,img_label)","def preprocess_output(self, face_box, frame):\n if face_box is None or frame is None or frame.size < 1:\n return None, None\n else:\n face_box = helpers.fit(face_box, frame)\n face_img = helpers.crop(frame, face_box)\n return face_img, face_box","def tagVideo(modelpath, videopath, outputPath=None): \n model = get_model_instance_segmentation(3)\n device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n # model.load_state_dict(torch.load(modelpath, map_location=device), strict=False)\n model.load_state_dict(torch.load(modelpath, map_location=device))\n model = model.to(device)\n model.eval()\n\n \n data_transform = transforms.Compose([\n ToPILImage(),\n transforms.ToTensor(), \n ])\n\n\n if outputPath:\n writer = FFmpegWriter(str(outputPath))\n \n font = cv2.FONT_HERSHEY_SIMPLEX\n cv2.namedWindow('main', cv2.WINDOW_NORMAL)\n labels = ['No mask', 'Mask']\n labelColor = [(10, 0, 255), (10, 255, 0)]\n img_count = 0\n outputDir = os.path.dirname(os.path.realpath(outputPath))\n frame_count = 0\n boundingBoxes = []\n for frame in vreader(str(videopath)):\n frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n print('Frame:', frame_count)\n\n if frame_count%30==0:\n frameTensor = data_transform(frame)\n frameTensor = torch.unsqueeze(frameTensor, 0).to(device)\n output = model(frameTensor)\n boundingBoxes = plot_image_new(frame, frameTensor[0], output[0]) \n \n if len(boundingBoxes)>0:\n for bb in boundingBoxes:\n cv2.rectangle(frame,\n (bb[0], bb[1]),\n (bb[2], bb[3]),\n (54, 66, 227),\n thickness=2)\n\n cv2.imshow('main', frame)\n if outputPath:\n writer.writeFrame(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))\n if cv2.waitKey(1) & 0xFF == ord('q'):\n break\n frame_count += 1\n if outputPath:\n writer.close()\n cv2.destroyAllWindows()","def convertFrame(self):\r\n try:\r\n height, width = self.currentFrame.shape[:2]\r\n img = QtGui.QImage(self.currentFrame,\r\n width,\r\n height,\r\n QtGui.QImage.Format_RGB888)\r\n img = QtGui.QPixmap.fromImage(img)\r\n self.previousFrame = self.currentFrame\r\n return img\r\n except:\r\n return None","def frames(self):\n while True:\n ret, frame = self.classification()\n if ret == True:\n yield cv2.imencode('.jpg', frame)[1].tobytes()\n else:\n break","def step(self, frame):\n if not self._stack:\n # Fill stack with copies of first frame if empty.\n self._stack.extend([frame] * (self._num_frames - 1))\n self._stack.append(frame)\n # Match BCAgent's stacking along axis 2.\n stacked_frames = np.stack(self._stack, axis=2)\n\n if not self._flatten:\n return stacked_frames\n else:\n new_shape = stacked_frames.shape[:-2] + (-1,)\n return stacked_frames.reshape(*new_shape)","def pipeline():\n\n test_pipeline = (Pipeline()\n .init_variable('current_loss')\n .init_model('model', C('model_class'),\n 'dynamic', C('model_config'))\n .to_array(dtype='float32')\n .train_model('model',\n inputs=B('images'),\n targets=B('labels'),\n outputs='loss',\n save_to=V('current_loss'))\n )\n return test_pipeline","def apply(self, image):\n\n bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)\n\n # Convert to float image\n float_im = bgr.copy().astype('float32') / 255\n blurred = cv2.GaussianBlur(float_im, ksize=(9, 9), sigmaX=1, sigmaY=9)\n cplanes = colors.bgr2cpaces(blurred)\n lanes, py, pw = finder.find_lane_pixels(cplanes, self.pfilter, gamma=0.4)\n\n binary = lanes\n\n # Find lanes and fit curves\n if not self.curve:\n self.sw.find(binary)\n self.curve= CurveSearch(self.sw.left_fit, self.sw.right_fit,\n image_size=self.warped_image_size, margin=20)\n lane = self.sw.visualize_lane()\n curve_rad = self.measure_curvature(self.sw.left_fit, self.sw.right_fit)\n offset = self.measure_offset(self.sw.left_fit, self.sw.right_fit)\n else:\n self.curve.find(binary)\n lane = self.curve.visualize_lane()\n curve_rad = self.measure_curvature(self.curve.left_fit, self.curve.right_fit)\n offset = self.measure_offset(self.curve.left_fit, self.curve.right_fit)\n\n non_warped_lane = self.warp_inverse(lane)\n\n result = cv2.addWeighted(image, 1, non_warped_lane, 0.3, 0)\n cv2.putText(result, \"Curve Radius: {:.0f}m\".format(curve_rad), (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255))\n cv2.putText(result, \"Off Center: {:.2f}m\".format(offset), (50, 100),\n cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255))\n\n return result","def post_processing(frame,\r\n enable_spatial=True,\r\n enable_temporal=True,\r\n enable_hole=True,\r\n spatial_params=[(rs.option.filter_magnitude, 5), \r\n (rs.option.filter_smooth_alpha, 1),\r\n (rs.option.filter_smooth_delta, 50),\r\n (rs.option.holes_fill, 3)],\r\n temporal_params=[],\r\n hole_params=[]):\r\n # Filters and settings\r\n depth_to_disparity = rs.disparity_transform(True)\r\n disparity_to_depth = rs.disparity_transform(False)\r\n\r\n # Depth to disparity before spatial and temporal filters\r\n frame = depth_to_disparity.process(frame)\r\n\r\n # Spatial filter\r\n if enable_spatial:\r\n # Settings\r\n spatial = rs.spatial_filter()\r\n for spatial_param in spatial_params:\r\n spatial.set_option(spatial_param[0], spatial_param[1])\r\n\r\n # Apply on frame\r\n frame = spatial.process(frame)\r\n\r\n # Temporal filter\r\n if enable_temporal:\r\n temporal = rs.temporal_filter()\r\n for temporal_param in temporal_params:\r\n temporal.set_option(temporal_param[0], temporal_param[1])\r\n frame = temporal.process(frame)\r\n\r\n # Back to depth\r\n frame = disparity_to_depth.process(frame)\r\n\r\n # Hole filling\r\n if enable_hole:\r\n hole_filling = rs.hole_filling_filter()\r\n for hole_param in hole_params:\r\n hole_filling.set_option(hole_param[0], hole_param[1])\r\n frame = hole_filling.process(frame)\r\n\r\n return frame","def camframes(tree, cam_frame):\n campath = '.PIMAX3'\n cam_frame = cam_frame + 1\n AddNodeWithTag(tree, campath + ':FRAME_' + str(cam_frame), 'NUMERIC',\n 'PIMAX_FRAME' + str(cam_frame))\n AddNumericWithUnit(tree, campath + '.FRAME_' + str(cam_frame) +\n ':EXPOSURE', 'EXPOSURE_PFRAME' + str(cam_frame), 's')\n AddNumericWithUnit(tree, campath + '.FRAME_' + str(cam_frame) + ':DELAY', \n 'GATEDELAY_PFRAME' + str(cam_frame), 's')","def prepare_test_frames(self, idx):\n results = copy.deepcopy(self.video_infos[idx])\n results['filename_tmpl'] = self.filename_tmpl\n results['modality'] = self.modality\n results['start_index'] = self.start_index\n ann_frame_dir = results['frame_dir'].replace(self.data_prefix,\n self.anno_prefix)\n results['seg_map'] = osp.join(\n ann_frame_dir,\n self.filename_tmpl.format(0).replace('jpg', 'png'))\n return self.pipeline(results)","def __init__(self, frames=[]):\n # All the frames are converted to TextImage objects.\n self.frames = list(map(TextImage, frames))","def create_image_pyramids(self):\r\n curr_cam0_img = self.cam0_curr_img_msg.image\r\n # self.curr_cam0_pyramid = cv2.buildOpticalFlowPyramid(\r\n # curr_cam0_img, self.config.win_size, self.config.pyramid_levels, \r\n # None, cv2.BORDER_REFLECT_101, cv2.BORDER_CONSTANT, False)[1]\r\n self.curr_cam0_pyramid = curr_cam0_img\r\n\r\n curr_cam1_img = self.cam1_curr_img_msg.image\r\n # self.curr_cam1_pyramid = cv2.buildOpticalFlowPyramid(\r\n # curr_cam1_img, self.config.win_size, self.config.pyramid_levels, \r\n # None, cv2.BORDER_REFLECT_101, cv2.BORDER_CONSTANT, False)[1]\r\n self.curr_cam1_pyramid = curr_cam1_img","def generate():\n global output_frame, lock\n while True:\n with lock:\n if output_frame is None:\n continue\n (flag, encoded_image) = cv2.imencode(\".jpg\", output_frame)\n if not flag:\n continue\n yield (b'--frame\\r\\n' b'Content-Type: image/jpeg\\r\\n\\r\\n' +\n bytearray(encoded_image) + b'\\r\\n')","def __init__(self, batch_env):\n\n dims = [84, 84]\n nature_transform = lambda o: tf.image.rgb_to_grayscale( # pylint: disable=g-long-lambda\n tf.image.resize_images(o, dims))\n\n super(WarpFrameWrapper, self).__init__(batch_env, transform_observation=(\n nature_transform, dims, tf.float32))","def make_video(data,\n xdim, ydim, sample_read_rows, sample_read_cols, image_write_rows, image_write_cols,\n directory, filename, fps = 24.0, start_frame = 1, end_frame = None, timestamp = False, fontsize = 30, ts_pos = (0,0), save_raw = False):\n\n #Command to send via the command prompt which specifies the pipe parameters\n # command = ['ffmpeg',\n # '-y', # (optional) overwrite output file if it exists\n # '-f', 'image2pipe',\n # '-vcodec', 'mjpeg', #'mjpeg',\n # '-r', '1',\n # '-r', str(fps), # frames per second\n # '-i', '-', # The input comes from a pipe\n # '-an', # Tells FFMPEG not to expect any audio\n # '-vcodec', 'mpeg4',\n # '-b:v', '5000k',\n # directory + filename + \"/\"+filename+\".mp4\",\n # '-hide_banner',\n # '-loglevel', 'panic']\n\n # Create directories if they don't exist\n if not os.path.exists(os.path.join(directory, filename, 'frames/')):\n os.makedirs(os.path.join(directory, filename, 'frames/'))\n if save_raw and not os.path.exists(os.path.join(directory, filename, 'frames-raw/')):\n os.makedirs(os.path.join(directory, filename, 'frames-raw/'))\n\n if end_frame == None:\n end_frame = data.FrameCount\n\n cm = colormap.get_cmap('viridis')\n\n for i, frame_offset in enumerate(tqdm.tqdm(range(start_frame, end_frame))):\n frame = FrameRead(data, frame_offset)\n frame_image = np.zeros([ydim, xdim], dtype=np.uint8)\n frame_image[image_write_rows, image_write_cols] = frame.frame_data[sample_read_rows, sample_read_cols]\n\n rgb_im = Image.fromarray(cm(frame_image, bytes=True)).convert('RGB')\n rgb_im.save(os.path.join(directory, filename, 'frames/', f'{i}.jpg'), 'JPEG')\n\n if save_raw:\n Image.fromarray(np.uint8(frame.frame_data), mode='L').save(os.path.join(directory, filename, 'frames-raw/', f'{i}.jpg'), 'JPEG')","def __init__(self, frames):\n self._frames = frames\n self._out = None","def __init__(self, frames):\n self._frames = frames\n self._out = None","def __init__(self, frames):\n self._frames = frames\n self._out = None","def __init__(self, frames):\n self._frames = frames\n self._out = None","def __init__(self, frames):\n self._frames = frames\n self._out = None","def __init__(self, frames):\n self._frames = frames\n self._out = None"],"string":"[\n \"def run_frame(self, image):\\n self.frame_idx += 1\\n # run main pipeline\\n t0 = datetime.now()\\n disp = self.main_pipeline(image)\\n t1 = datetime.now()\\n logging.info('main pipeline: {}'.format(get_tdiff(t0, t1)))\\n \\n # prepare image sequence of 3 for trajectory pipeline\\n t0 = datetime.now()\\n self.image_seq.append(image)\\n if len(self.image_seq) > 3:\\n del self.image_seq[0]\\n t1 = datetime.now()\\n logging.info('image stack: {}'.format(get_tdiff(t0, t1)))\\n\\n # run trajectory pipeline\\n t0 = datetime.now()\\n if len(self.image_seq) >= 3:\\n self.egomo_trmat = self.traj_pipeline(prev_trmat=self.egomo_trmat)\\n t1 = datetime.now()\\n logging.info('traj pipeline: {}'.format(get_tdiff(t0, t1)))\\n return self.frame_idx, disp, self.egomo_trmat, self.t_list\",\n \"def process(self, image):\",\n \"def transform(self, previousimage):\",\n \"def run_frame(self, ti, img):\\n pass\",\n \"def gen():\\n global dataFrame\\n while True:\\n frame = vs.read()\\n # frame = imutils.resize(frame, width=400)\\n \\n (flag, encodedImage) = cv2.imencode(\\\".jpg\\\", frame.copy())\\n if not flag: continue\\n # print (encodedImage)\\n dataFrame = yield (b'--frame\\\\r\\\\n'\\n b'Content-Type: image/jpeg\\\\r\\\\n\\\\r\\\\n' + bytearray(encodedImage) + b'\\\\r\\\\n')\",\n \"def create_new_frame(image_file, green_file, process_file):\\n\\n # this print() statement is there to help see which frame is being processed\\n print(f'{process_file[-7:-4]}', end=',', flush=True)\\n\\n image_img = Image.open(image_file)\\n green_img = Image.open(green_file)\\n\\n # Make Numpy array\\n np_img = np.array(green_img)\\n\\n # Mask pixels \\n mask = (np_img[:, :, BLUE] < 120) & (np_img[:, :, GREEN] > 120) & (np_img[:, :, RED] < 120)\\n\\n # Create mask image\\n mask_img = Image.fromarray((mask*255).astype(np.uint8))\\n\\n image_new = Image.composite(image_img, green_img, mask_img)\\n image_new.save(process_file)\",\n \"def frame_pre_process(self, frame):\\n assert len(frame.shape) == 3, \\\\\\n \\\"Expected input frame in (H, W, C) format proposed\\\"\\n assert frame.shape[2] in [3, 4], \\\\\\n \\\"Expected BGR or BGRA input process\\\"\\n # setup the frame in the original format\\n \\n #orig_image = frame.copy()\\n original_image = frame.copy()\\n \\n # creating the frame transpose conversion\\n frame = frame.transpose((2, 0, 1)) # Converting from HWC to CHW\\n \\n # creating the frame dimensions\\n frame = np.expand_dims(frame, axis=0)\\n \\n # return the frames outcome\\n return (frame)\",\n \"def create_frame_blob(self):\\n # self.image_blob = cv2.dnn.blobFromImage(\\n # cv2.resize(self.frame, (300, 300)), 1.0, (300, 300),\\n # (104.0, 177.0, 123.0), swapRB=False, crop=False)\\n self.image_blob = cv2.dnn.blobFromImage(cv2.resize(self.frame, (300, 300)),\\n 0.007843, (300, 300), 127.5)\",\n \"def process_pipeline(frame, keep_state=True):\\n\\n global line_lt, line_rt, processed_frames\\n\\n # undistort the image using coefficients found in calibration\\n undistorted_img = undistort(frame, mtx, dist)\\n\\n # binarize the frame and highlight lane lines\\n binarized_img = binarize(undistorted_img)\\n\\n # perspective transform to obtain bird's eye view\\n birdeye_img, matrix, inversed_matrix = birdeye(binarized_img, visualise=False)\\n\\n # 2 order polynomial curve fit onto lane lines found\\n if processed_frames > 0 and keep_state and line_lt.detected and line_rt.detected:\\n find_lane_by_previous_fits(birdeye_img, line_lt, line_rt, visualise=False)\\n else:\\n find_lane_by_sliding_windows(birdeye_img, line_lt, line_rt, n_windows=9, visualise=False)\\n\\n # compute offset in meter from center of the lane\\n offset_meter = offset_from_lane_center(line_lt, line_rt, frame_width=frame.shape[1])\\n\\n # draw the surface enclosed by lane lines back onto the original frame\\n blend_on_road = draw_back_onto_the_road(undistorted_img, inversed_matrix, line_lt, line_rt, keep_state)\\n mean_curvature_meter = np.mean([line_lt.curvature_meter, line_rt.curvature_meter])\\n font = cv2.FONT_HERSHEY_SIMPLEX\\n cv2.putText(blend_on_road, 'Curvature radius: {:.02f}m'.format(mean_curvature_meter), (60, 60), font, 1,\\n (255, 255, 255), 2)\\n cv2.putText(blend_on_road, 'Offset from center: {:.02f}m'.format(offset_meter), (60, 90), font, 1,\\n (255, 255, 255), 2)\\n\\n processed_frames += 1\\n\\n return blend_on_road\",\n \"def run_record(self, state, pipeline, record_path):\\n e1 = cv2.getTickCount()\\n while state.record_btn:\\n # Wait for a coherent pair of frames: depth and color\\n frames = pipeline.wait_for_frames()\\n depth_frame = frames.get_depth_frame()\\n color_frame = frames.get_color_frame()\\n if not depth_frame or not color_frame:\\n continue\\n \\n # filter\\n depth_frame = self.th_filter.process(depth_frame)\\n depth_frame = self.sp_filter.process(depth_frame)\\n depth_frame = self.tmp_filter.process(depth_frame)\\n\\n depth_colormap = self.colorizer.colorize(depth_frame)\\n # Convert images to numpy arrays\\n depth_image = np.asanyarray(depth_colormap.get_data())\\n color_image = np.asanyarray(color_frame.get_data())\\n\\n lane_masked = self.lane_detector.detect(color_image)\\n # Show images\\n stacked_imgs = (color_image, depth_image, lane_masked)\\n images = np.hstack(stacked_imgs)\\n cv2.resizeWindow(state.WIN_NAME, \\n self.width*len(stacked_imgs), \\n self.height)\\n cv2.imshow(state.WIN_NAME, images)\\n cv2.setMouseCallback(state.WIN_NAME, state.mouse_controll)\\n key = cv2.waitKey(1)\\n if key == 27:\\n state.app_btn = False\\n state.record_btn = False\\n break\\n # Calculate Runtime Tick to quit\\n e2 = cv2.getTickCount()\\n tick = int((e2 - e1) / cv2.getTickFrequency())\\n # Save images per tick\\n if self.saveimg:\\n color_file = record_path / f\\\"color-{tick}.npy\\\"\\n depth_file = record_path / f\\\"depth-{tick}.npy\\\"\\n ps_file = record_path / f\\\"ps-{tick}.ply\\\"\\n if not ps_file.exists():\\n np.save(color_file, color_image)\\n np.save(depth_file, depth_image)\\n \\n # Create point cloud\\n if self.savepc and (not ps_file.exists()):\\n points = self.pc.calculate(depth_frame)\\n self.pc.map_to(depth_frame)\\n points.export_to_ply(str(ps_file), color_frame)\\n\\n if tick > self.record_time:\\n print(\\\"Finish Record\\\")\\n state.app_btn = False\\n state.record_btn = False\\n cv2.destroyAllWindows()\\n break\\n\\n if not state.app_btn:\\n break\",\n \"def SIMPLEST_PIPELINE():\\n return lambda image_path, label: (\\n tf.image.decode_jpeg(tf.io.read_file(image_path), channels=3),\\n label\\n )\",\n \"def __call__(self, frame_num):\\n # propagate and set the density\\n self.img.set_array(\\n np.abs(self.quant_sys.propagate(10)) ** 2\\n )\\n return self.img,\",\n \"def gen_frame():\\n while True:\\n frame = camera_stream()\\n yield (b'--frame\\\\r\\\\n'\\n b'Content-Type: image/png\\\\r\\\\n\\\\r\\\\n' + frame + b'\\\\r\\\\n') # concate frame one by one and show result\",\n \"def process(image):\\n pass\",\n \"def frameProcessing():\\n\\tglobal referenceFrame\\n\\tglobal dilatedFrame\\n\\t#receive the image from the request.\\n\\tfile = request.json\\n\\tframe = np.array(file[\\\"Frame\\\"], dtype = \\\"uint8\\\")\\n\\t\\n\\t#gray-scale conversion and Gaussian blur filter applying\\n\\tgrayFrame = greyScaleConversion(frame)\\n\\tblurredFrame = gaussianBlurring(grayFrame)\\n\\n\\t#Check if a frame has been previously processed and set it as the previous frame.\\n\\tif type(referenceFrame) ==int():\\n\\t\\treferenceFrame = blurredFrame\\n\\t\\n\\t#Background subtraction and image binarization\\n\\tframeDelta = getImageDiff(referenceFrame, blurredFrame)\\n\\treferenceFrame = blurredFrame\\n\\t#cv2.imwrite(\\\"previousImage.jpg\\\", blurredFrame)\\n\\tframeThresh = thresholdImage(frameDelta, binarizationThreshold)\\n\\n\\t#Dilate image and find all the contours\\n\\tdilatedFrame = dilateImage(frameThresh)\\n\\t#cv2.imwrite(\\\"dilatedFrame.jpg\\\", dilatedFrame)\\n\\tcnts = getContours(dilatedFrame.copy())\\n\\t\\n\\theight = np.size(frame,0)\\n\\tcoordYEntranceLine = int((height / 2)-offsetEntranceLine)\\n\\tcoordYExitLine = int((height / 2)+offsetExitLine)\\n\\theaders = {\\\"enctype\\\" : \\\"multipart/form-data\\\"}\\n\\tr = requests.post(\\\"http://\\\" + getNextServer() + \\\"/objectClassifier\\\", headers = headers, json = {\\\"Frame\\\":frame.tolist()} )\\n\\t\\\"\\\"\\\"\\t\\n\\tfor c in cnts:\\n\\t\\tprint(\\\"x\\\")\\n\\t\\tif cv2.contourArea(c) < minContourArea:\\n\\t\\t\\tprint(\\\"Small Area\\\", cv2.contourArea(c))\\n\\t\\t\\tcontinue\\n\\t\\t(x, y, w, h) = getContourBound(c)\\n\\t\\t#grab an area 2 times larger than the contour.\\n\\t\\tcntImage = frame[y:y+int(1.5*w), x:x+int(1.5*h)]\\n\\t\\tobjectCentroid = getContourCentroid(x, y, w, h)\\n\\t\\tcoordYCentroid = (y+y+h)/2\\n\\t\\t\\n\\t\\t\\n\\t\\t#if (checkEntranceLineCrossing(coordYCentroid,coordYEntranceLine,coordYExitLine)):\\t\\t\\t\\t\\n\\t\\theaders = {\\\"enctype\\\" : \\\"multipart/form-data\\\"}\\n\\t\\t#i = random.randint(1,1000)\\n\\t\\t#cv2.imwrite(\\\"ContourImages/contour\\\"+str(i)+\\\".jpg\\\", cntImage)\\n\\t\\t#files = {\\\"image\\\":open(\\\"ContourImages/contour\\\"+str(i)+\\\".jpg\\\", \\\"rb\\\")}\\n\\t\\tdata = {\\\"contour\\\" : cntImage.tolist()}\\n\\t\\tr = requests.post(\\\"http://\\\" + getNextServer() + \\\"/objectClassifier\\\", headers = headers, json = data )\\n\\n\\t\\n\\t\\\"\\\"\\\"\\n\\treturn Response(status=200)\",\n \"def write_frame(self, img):\\n if img.shape[0] % 2 != 0:\\n print(\\\"Warning: height is not divisible by 2! Dropping last row\\\")\\n img = img[:-1]\\n if img.shape[1] % 2 != 0:\\n print(\\\"Warning: width is not divisible by 2! Dropping last column\\\")\\n img = img[:, :-1]\\n if self.post_processor:\\n img = self.post_processor.process(img)\\n if self.width is None:\\n self.width = img.shape[0]\\n self.height = img.shape[1]\\n assert os.path.exists(self.directory)\\n fn = FRAME_FN_TEMPLATE % self.frame_counter\\n self.frame_fns.append(fn)\\n imwrite(img, os.path.join(self.frame_directory, fn))\\n self.frame_counter += 1\\n if self.frame_counter % self.next_video_checkpoint == 0:\\n if self.automatic_build:\\n self.make_video()\\n self.next_video_checkpoint *= 2\",\n \"def _create_vtk_pipeline(self):\\n if self._viewer is None and not self._view_frame is None:\\n \\n if True:\\n self._viewer = vtk.vtkImageViewer2()\\n self._viewer.SetupInteractor(self._view_frame._rwi)\\n self._viewer.GetRenderer().SetBackground(0.3,0.3,0.3)\\n \\n else:\\n ren = vtk.vtkRenderer()\\n self._view_frame._rwi.GetRenderWindow().AddRenderer(ren)\",\n \"def process_frame(self, frame):\\n\\t\\treturn frame\",\n \"def gen(camera):\\n while True:\\n # frame_findline = camera.get_frame()\\n frame_findline, center_Pos1, center_Pos2 = camera.get_frame()\\n frame_findline = cv2.line(frame_findline, (center_Pos1, 440), (center_Pos2, 380), (255,100,0), 5)\\n\\n frame = cv2.imencode('.jpg', frame_findline)[1].tobytes()\\n yield (b'--frame\\\\r\\\\n'\\n b'Content-Type: image/jpeg\\\\r\\\\n\\\\r\\\\n' + frame + b'\\\\r\\\\n')\",\n \"def _prepare_frame(self, frame):\\n\\n initial_h, initial_w = frame.shape[:2]\\n scale_h, scale_w = initial_h / float(self.input_height), initial_w / float(self.input_width)\\n\\n in_frame = cv2.resize(frame, (self.input_width, self.input_height))\\n in_frame = in_frame.transpose((2, 0, 1))\\n in_frame = in_frame.reshape(self.input_size)\\n\\n return in_frame, scale_h, scale_w\",\n \"def process_image(self):\\n pass\",\n \"def image_processing(eye_frame, threshold):\\n kernel = np.ones((3, 3), np.uint8)\\n new_frame = cv2.bilateralFilter(eye_frame, 10, 15, 15)\\n new_frame = cv2.erode(new_frame, kernel, iterations=3)\\n new_frame = cv2.threshold(new_frame, threshold, 255, cv2.THRESH_BINARY)[1]\\n\\n return new_frame\",\n \"def _create_pipeline(self) -> TfmIterator:\\n # 1. Initialise TubRecord -> x, y transformations\\n def get_x(record: TubRecord) -> Dict[str, Union[float, np.ndarray]]:\\n \\\"\\\"\\\" Extracting x from record for training\\\"\\\"\\\"\\n out_dict = self.model.x_transform(record, self.image_processor)\\n # apply the normalisation here on the fly to go from uint8 -> float\\n out_dict['img_in'] = normalize_image(out_dict['img_in'])\\n return out_dict\\n\\n def get_y(record: TubRecord) -> Dict[str, Union[float, np.ndarray]]:\\n \\\"\\\"\\\" Extracting y from record for training \\\"\\\"\\\"\\n y = self.model.y_transform(record)\\n return y\\n\\n # 2. Build pipeline using the transformations\\n pipeline = self.sequence.build_pipeline(x_transform=get_x,\\n y_transform=get_y)\\n return pipeline\",\n \"def captureNextFrame(self):\\r\\n mainls = []\\r\\n\\r\\n\\r\\n ret, readFrame = self.capture.read()\\r\\n\\r\\n if (ret == True):\\r\\n self.currentFrame = cv2.cvtColor(readFrame, cv2.COLOR_BGR2RGB)\\r\\n self.faceDetection(self.currentFrame)\\r\\n self.currentFrame = self.bbFrame\",\n \"def pipeline(image):\\n # undistort image\\n undistorted_image = undistort_image(image)\\n superimposed_image = find_lanes(undistorted_image)\\n labels = find_vehicles(undistorted_image)\\n\\n draw_img = draw_labeled_bboxes(superimposed_image, labels)\\n\\n \\n return draw_img\",\n \"def extract_frames(pipe, \\r\\n cfg, \\r\\n save_path,\\r\\n post_processing=False,\\r\\n save_colorize=True,\\r\\n save_pc=False,\\r\\n visualize=True):\\r\\n # Configurations\\r\\n if save_colorize:\\r\\n colorizer = rs.colorizer()\\r\\n if save_pc:\\r\\n pc = rs.pointcloud()\\r\\n points = rs.points()\\r\\n # Save path\\r\\n if not os.path.exists(save_path):\\r\\n os.makedirs(save_path)\\r\\n\\r\\n # Start the pipe\\r\\n i = 0\\r\\n profile = pipe.start(cfg)\\r\\n device = profile.get_device()\\r\\n playback = device.as_playback()\\r\\n playback.set_real_time(False) # Make sure this is False or frames get dropped\\r\\n while True:\\r\\n try:\\r\\n # Wait for a conherent pairs of frames: (rgb, depth)\\r\\n pairs = pipe.wait_for_frames()\\r\\n\\r\\n # Align depth image to rgb image first\\r\\n align = rs.align(rs.stream.color)\\r\\n pairs = align.process(pairs)\\r\\n\\r\\n color_frame = pairs.get_color_frame()\\r\\n depth_frame = pairs.get_depth_frame()\\r\\n if not depth_frame or not color_frame:\\r\\n continue\\r\\n\\r\\n # Post-processing\\r\\n if post_processing:\\r\\n depth_frame = post_processing(depth_frame)\\r\\n\\r\\n # Get rgb-d images\\r\\n color_img = np.asanyarray(color_frame.get_data())\\r\\n color_img = cv2.cvtColor(color_img, cv2.COLOR_RGB2BGR)\\r\\n depth_img = np.asanyarray(depth_frame.get_data())\\r\\n print('Frame {}, Depth Image {}, Color Image {}'.format(i+1, depth_img.shape, color_img.shape))\\r\\n \\r\\n # Save as loseless formats\\r\\n cv2.imwrite(os.path.join(save_path, '{}_rgb.png'.format(i)), color_img, [cv2.IMWRITE_PNG_COMPRESSION, 0])\\r\\n np.save(os.path.join(save_path, '{}_depth.npy'.format(i)), depth_img)\\r\\n \\r\\n if save_colorize:\\r\\n # Save colorized depth map\\r\\n depth_img_colorized = np.asanyarray(colorizer.colorize(depth_frame).get_data())\\r\\n cv2.imwrite(os.path.join(save_path, '{}_depth_colorized.jpg'.format(i)), depth_img_colorized) # No need for lossless here\\r\\n \\r\\n if save_pc:\\r\\n # NOTE: Point cloud calculation takes longer time.\\r\\n pc.map_to(color_frame)\\r\\n points = pc.calculate(depth_frame)\\r\\n points.export_to_ply(os.path.join(save_path, '{}_pc.ply'.format(i)), color_frame)\\r\\n \\r\\n i += 1\\r\\n\\r\\n if visualize:\\r\\n # Stack both images horizontally\\r\\n images = np.vstack((color_img, depth_img_colorized))\\r\\n\\r\\n # Show images\\r\\n cv2.namedWindow('RealSense', cv2.WINDOW_NORMAL)\\r\\n cv2.imshow('RealSense', images)\\r\\n cv2.waitKey(1)\\r\\n \\r\\n except Exception as e:\\r\\n print(e)\\r\\n break\\r\\n\\r\\n # Clean pipeline\\r\\n pipe.stop()\\r\\n print('{} frames saved in total.'.format(i))\\r\\n\\r\\n return\",\n \"def get_image(self):\\n self.flush_buffer()\\n _, frame = self.cam.read()\\n shift_frame = self.perspective_shift(frame)\\n #shift_frame = None\\n return frame, shift_frame\",\n \"def update_frame(self, frame):\\n\\n t = datetime.now()\\n delta_t = t - self.dpar.frame_timestamp[0]\\n fps = self.dpar.update_fps(1./delta_t.total_seconds())\\n\\n self.dpar.frame_timestamp[0] = t\\n\\n if self.config.black_correct:\\n cframe = self.ffc.black_correct(frame)\\n else:\\n cframe = frame\\n\\n self.dpar.latest_frame = np.copy(cframe)\\n \\n if self.dpar.cap_live_swap:\\n pix, gray = self._get_pixmap(cframe[::4,::4], self.dpar.iwindow[0])\\n self.cap_screen.cap_title = self._live_title(fps)\\n self.cap_screen.setPixmap(pix)\\n else: \\n pix, gray = self._get_pixmap(cframe, self.dpar.iwindow[0])\\n self.live_screen.live_title = self._live_title(fps)\\n self.live_screen.setPixmap(pix)\\n\\n self.draw_histogram()\\n\\n\\n if self.recording_sequence:\\n\\n # MRP ToDo update these tags properly.\\n et = np.int(np.round(self.camera.actual_exposure_time_ms))\\n ifi_ms = 1000. / self.camera.actual_frame_rate\\n ts_ms = np.int(np.round(ifi_ms * self.seq_frame_num))\\n\\n self.ifd.update_tags((self.seq_frame_num, 0), et, 0, ts_ms, 99)\\n\\n cap_image = np.copy(self.dpar.latest_frame).astype(np.uint16)\\n #cv2.imwrite(cfn, (cap_image << (16 - self.camera.pixel_bits)).astype(np.uint16))\\n\\n \\\"\\\"\\\"\\n Perform the TIFF windowing and then rebinning (compress) according to config file options\\n \\\"\\\"\\\"\\n x0 = max(0, (cap_image.shape[1] - config.tiff_seq_x_window) // 2)\\n x1 = cap_image.shape[1] - x0\\n y0 = max(0, (cap_image.shape[0] - config.tiff_seq_y_window) // 2)\\n y1 = cap_image.shape[0] - y0\\n cap_image = cap_image[y0:y1, x0:x1]\\n\\n shift_bits = 16 - self.camera.pixel_bits\\n if config.tiff_seq_rebin > 1: # not tested for r ne 2\\n r = config.tiff_seq_rebin\\n cap_image = cap_image.reshape((cap_image.shape[0] // r, r, cap_image.shape[1] // r, -1)).sum(axis=3).sum(axis=1)\\n extra_bits = 2 * (r.bit_length() -1)\\n shift_bits = max(0, shift_bits - extra_bits)\\n\\n\\n #im = PIL.Image.fromarray(gray)\\n im = PIL.Image.fromarray((cap_image << shift_bits).astype(np.uint16))\\n\\n im.save(self.tiff_out, tiffinfo=self.ifd, compression=TIFF_COMPRESSION)\\n self.tiff_out.newFrame()\\n self.seq_frame_num += 1\\n self.seq_frame_label.setText(str(self.seq_frame_num))\\n\\n if self.recording_video:\\n # cframe is int16\\n #f8 = ((cframe >> (self.camera.pixel_bits - 8)) & 0xff).astype(np.uint8)\\n #Style 1:\\n #fc = np.stack((f8, f8, f8), axis=-1)\\n #self.rv_vout.write(fc)\\n #Style 2&3:\\n self.rv_vout.write(gray)\\n self.recorded_video_frame_number += 1\\n #Style 4: (16-bit)\\n #self.rv_vout.write(cframe)\\n\\n #if self.recorded_video_frame_number == 20:\\n # self.record_video() # turn off\",\n \"def __init__(self):\\n self.active = True # Camera activation control\\n self.stream = cv2.VideoCapture(0) # Open video stream\\n while not self.stream.isOpened():\\n pass\\n _,self.image = self.stream.read()# Save the first frame\\n cv2.waitKey(10)\\n self.frame = self.image[196:304,:546,:]# Cropped frame\\n self.diff_frame = self.frame\\n# self.reference_frame = copy.deepcopy(self.frame)\\n# self.abs_diff_frame = copy.deepcopy(self.frame)\\n self.reference_frame = self.frame\\n self.abs_diff_frame = self.frame\\n self.frame_count = 1 # Used for framerate estimation\\n self.frame_rate = 0\\n self.tic = time()\",\n \"def processframe(pilimage):\\n # TODO: Idea on of overfilling\\n # [[0,0,0],\\n # [1,1,1],\\n # [0,0,0]]\\n # Keep this as template. aka pattern. use scipy measure and that s pattern to match all connecting\\n # this gets all the fills. the rest is thrown into the pile of sets.\\n # we assume index 0 as discarded (Can't really do much with black images.)\\n numpyarrayfrompil = numpy.array(pilimage)\\n # First we pass to regionprops\\n props = createfillers(numpyarrayfrompil)\\n # pass all the data we need now to the mapprops2color\\n # returns a string which can be cerealised.\\n return mapprops2color(props, numpyarrayfrompil, pilimage)\",\n \"def make(self) -> None:\\n\\n # arbitrarily selecting the first image from the list, index 0\\n with Image.open(self.image_list[0]) as first_frame_image_in_list:\\n\\n # Find the width and height of the first image of the list.\\n # Assuming all the images have same size.\\n frame_image_width, frame_image_height = first_frame_image_in_list.size\\n\\n # scale is the ratio of collage_image_width and product of\\n # images_per_row_in_collage with frame_image_width.\\n\\n # The scale will always lie between 0 and 1, which implies that\\n # the images are always going to get downsized.\\n scale = (self.collage_image_width) / (\\n self.images_per_row_in_collage * frame_image_width\\n )\\n\\n # Calculating the scaled height and width for the frame image.\\n scaled_frame_image_width = ceil(frame_image_width * scale)\\n scaled_frame_image_height = ceil(frame_image_height * scale)\\n\\n # Divide the number of images by images_per_row_in_collage. The later\\n # was calculated by taking the square root of total number of images.\\n number_of_rows = ceil(self.number_of_images / self.images_per_row_in_collage)\\n\\n # Multiplying the height of one downsized image with number of rows.\\n # Height of 1 downsized image is product of scale and frame_image_height\\n # Total height is number of rows times the height of one downsized image.\\n self.collage_image_height = ceil(scale * frame_image_height * number_of_rows)\\n\\n # Create an image of passed collage_image_width and calculated collage_image_height.\\n # The downsized images will be pasted on this new base image.\\n # The image is 0,0,0 RGB(black).\\n collage_image = Image.new(\\n \\\"RGB\\\", (self.collage_image_width, self.collage_image_height)\\n )\\n\\n # keep track of the x and y coordinates of the resized frame images\\n i, j = (0, 0)\\n\\n # iterate the frames and paste them on their position on the collage_image\\n for count, frame_path in enumerate(self.image_list):\\n\\n # Set the x coordinate to zero if we are on the first column\\n # If self.images_per_row_in_collage is 4\\n # then 0,4,8 and so on should have their x coordinate as 0\\n if (count % self.images_per_row_in_collage) == 0:\\n i = 0\\n\\n # open the frame image, must open it to resize it using the thumbnail method\\n frame = Image.open(frame_path)\\n\\n # scale the opened frame images\\n frame.thumbnail(\\n (scaled_frame_image_width, scaled_frame_image_height), Image.ANTIALIAS\\n )\\n\\n # set the value of x to that of i's value.\\n # i is set to 0 if we are on the first column.\\n x = i\\n\\n # It ensures that y coordinate stays the same for any given row.\\n # The floor of a real number is the largest integer that is less\\n # than or equal to the number. floor division is used because of\\n # the zero based indexing, the floor of the division stays same\\n # for an entier row as the decimal values are negled by the floor.\\n # for the first row the result of floor division is always zero and\\n # the product of 0 with scaled_frame_image_height is also zero, they\\n # y coordinate for the first row is 0.\\n # For the second row the result of floor division is one and the prodcut\\n # with scaled_frame_image_height ensures that the y coordinate is\\n # scaled_frame_image_height below the first row.\\n y = (j // self.images_per_row_in_collage) * scaled_frame_image_height\\n\\n # paste the frame image on the newly created base image(base image is black)\\n collage_image.paste(frame, (x, y))\\n frame.close()\\n\\n # increase the x coordinate by scaled_frame_image_width\\n # to get the x coordinate of the next frame. unless the next image\\n # will be on the very first column this will be the x coordinate.\\n i = i + scaled_frame_image_width\\n\\n # increase the value of j by 1, this is to calculate the y coordinate of\\n # next image. The increased number will be floor divided by images_per_row_in_collage\\n # therefore the y coordinate stays the same for any given row.\\n j += 1\\n\\n # save the base image with all the scaled frame images embeded on it.\\n collage_image.save(self.output_path)\\n collage_image.close()\",\n \"def __image_pipeline(self, img):\\n \\n ##### Lane finding pipeline #######\\n resized = self.__resize_image(img)\\n undistorted = self.__correct_distortion(resized)\\n warped = self.__warp_image_to_biv(undistorted)\\n thresholded = self.__threshold_image(warped)\\n lines = self.__get_lane_lines(thresholded)\\n lane_img = self.__draw_lane_lines(undistorted, thresholded, include_stats=True)\\n\\n\\n ##### Vehicle Tracking pipeline #####\\n\\n hot_windows = self.windFinder.get_hot_windows(img)\\n car_boxes, wrap_img = self.vTracker.image_pipeline(img, hot_windows,\\n return_img=False) \\n # img = cv2.addWeighted(img, 1, wrap_img, 0.5, 0)\\n result = self.__draw_boxes(lane_img, car_boxes)\\n\\n return result\",\n \"def processFrame(frame, shape=(84, 84)):\\n frame = frame.astype(np.uint8) # cv2 requires np.uint8\\n # Apply a rgb filter to convert RGB to Gray Scale\\n frame = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)\\n # crop image OpenCv2 function to format img[y:y + h, x:x + w]\\n frame = frame[34:34+160, :160] # crop image\\n frame = cv2.resize(frame, shape, interpolation=cv2.INTER_NEAREST)\\n frame = frame.reshape((*shape, 1))\\n #cv2.imshow('Cropped Image', frame)\\n\\n return frame\",\n \"def PrePush(self, image):\\n pass\",\n \"def display_preprocessed(env,frame):\\n env.reset()\\n\\n #Plot the figure\\n plt.figure()\\n\\n #Show the pre processed frame\\n plt.imshow(preprocess_frame(env.reset(), (0, 0, 0, 0), 84), cmap=\\\"gray\\\")\\n\\n #Add title\\n plt.title('Pre Processed image')\\n\\n #Show the plot\\n plt.show()\",\n \"def add_frame(self, frame, player_box):\\n # ROI is a small box around the player\\n box_center = center_of_box(player_box)\\n patch = frame[int(box_center[1] - self.box_margin): int(box_center[1] + self.box_margin),\\n int(box_center[0] - self.box_margin): int(box_center[0] + self.box_margin)].copy()\\n patch = imutils.resize(patch, 299)\\n frame_t = patch.transpose((2, 0, 1)) / 255\\n frame_tensor = torch.from_numpy(frame_t).type(self.dtype)\\n frame_tensor = self.normalize(frame_tensor).unsqueeze(0)\\n with torch.no_grad():\\n # forward pass\\n features = self.feature_extractor(frame_tensor)\\n features = features.unsqueeze(1)\\n # Concatenate the features to previous features\\n if self.frames_features_seq is None:\\n self.frames_features_seq = features\\n else:\\n self.frames_features_seq = torch.cat([self.frames_features_seq, features], dim=1)\",\n \"def grab_next_frame(self):\\n if Rescue_PI.input_video_file_path is None:\\n self.orig_frame = self.vs.read()\\n self.frame = self.orig_frame.copy()\\n else:\\n _, self.frame = self.vs.read()\\n # self.frame = cv2.rotate(self.frame, cv2.ROTATE_180)\\n if self.frame is None:\\n pass\\n else:\\n self.frame = imutils.resize(self.frame, width=frame_width_in_pixels)\",\n \"def gen(camera):\\n \\n while True:\\n \\n \\n \\n frame = camera.get_frame()\\n \\n yield (b'--frame\\\\r\\\\n'\\n b'Content-Type: image/jpeg\\\\r\\\\n\\\\r\\\\n' + frame + b'\\\\r\\\\n')\",\n \"def apply(self, fn):\\n return Frame(fn(self.rgb))\",\n \"def process_frame(self, img):\\n found = []\\n for scale in self.settings['scales']:\\n found.extend(find_cars(img, scale[0], scale[1], scale[2], scale[3], scale[4], self.clf, self.scaler,\\n self.settings['color_space'], self.settings['orient'], self.settings['pix_per_cell'],\\n self.settings['cell_per_block'], self.settings['spatial_size'],\\n self.settings['hist_bins'], self.log, self.settings['min_conf']))\\n\\n self.prev_frames.append(found)\\n if len(self.prev_frames) > self.settings['n_frames']:\\n self.prev_frames.pop(0)\\n heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\\n for frame in self.prev_frames:\\n f_heatmap = np.ones_like(img[:, :, 0]).astype(np.float)\\n add_heat(f_heatmap, frame)\\n heatmap = heatmap * f_heatmap\\n\\n acc_heatmap = np.copy(heatmap)\\n\\n bboxes = find_bboxes_from_heatmap(apply_threshold(heatmap,\\n self.settings['heat_threshold'] ** self.settings['n_frames']))\\n\\n if self.settings['DEBUG']:\\n single_heatmap = add_heat(np.zeros_like(img[:, :, 0]).astype(np.float), found)\\n single_heatmap = np.clip(single_heatmap, 0, 255)\\n single_heatmap = np.dstack((single_heatmap, single_heatmap, single_heatmap))\\n acc_heatmap = np.sqrt(acc_heatmap)\\n acc_heatmap = np.clip(acc_heatmap, 0, 255)\\n acc_heatmap = np.dstack((acc_heatmap, acc_heatmap, acc_heatmap))\\n labels = np.clip(heatmap, 0, 1)*255\\n labels = np.dstack((labels, labels, labels))\\n final = draw_boxes(img, bboxes)\\n frame = np.concatenate((np.concatenate((single_heatmap, acc_heatmap), axis=1),\\n np.concatenate((labels, final), axis=1)), axis=0)\\n return cv2.resize(frame, (int(frame.shape[1]/2), int(frame.shape[0]/2)))\\n else:\\n return draw_boxes(img, bboxes)\",\n \"def update(self):\\r\\n\\r\\n # Update the vision frames in the system\\r\\n self._system.update()\\r\\n\\r\\n # Create blank PIL images to hold the video streams\\r\\n layered = PIL.Image.new('RGBA', (400, 400))\\r\\n stacked = PIL.Image.new('RGBA', (200, 800))\\r\\n control = PIL.Image.new('RGBA', (600, 800))\\r\\n\\r\\n focalpoint = self._system[self._appString[\\\"device\\\"].get()].focalpoint()\\r\\n # print(focalpoint)\\r\\n\\r\\n # Get each vision key and vision for the selected device\\r\\n visionList = [(visionKey, vision) for visionKey, vision in self._system[self._appString[\\\"device\\\"].get()]]\\r\\n\\r\\n # Loop through each vision in the vision list\\r\\n for i, (visionKey, vision) in enumerate(visionList):\\r\\n\\r\\n # Grab the frames from the vision when it is \\\"curr\\\"\\r\\n frameList = [frame for frameKey, frame in vision if frameKey==self._appString[\\\"frame\\\"].get()]\\r\\n\\r\\n # Loop through each frame in the frame list\\r\\n for frame in frameList:\\r\\n\\r\\n # Get the properties and turn the image into RGBA\\r\\n ratio, size = vision.properties()\\r\\n rgbFrame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)\\r\\n\\r\\n # print(rgbFrame.shape)\\r\\n width, height, channels = rgbFrame.shape\\r\\n\\r\\n # Paste the images together in layered\\r\\n\\r\\n imgFrame = PIL.Image.fromarray(cv2.resize(rgbFrame, (int(400 * ratio), int(400 * ratio))))\\r\\n layered.paste(imgFrame, (int(200 * (1 - ratio)), int(200 * (1 - ratio))))\\r\\n\\r\\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200 / width)), int(200 * (1 - ratio) - focalpoint[1] * (200 / height))))\\r\\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200 // width)), int(200 * (1 - ratio) - focalpoint[1] * (200 // height))))\\r\\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (ratio ** -1)), int(200 * (1 - ratio) - focalpoint[1] * (ratio ** -1))))\\r\\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200/width) / ratio), int(200 * (1 - ratio) - focalpoint[1] * (200/height) / ratio)))\\r\\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (200 / width)), int(200 * (1 - ratio) - focalpoint[1] * (200 / height))))\\r\\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (ratio ** -1) / 200), int(200 * (1 - ratio) - focalpoint[1] * (ratio ** -1) / 200)))\\r\\n # layered.paste(imgFrame, (int(200 * (1 - ratio) + focalpoint[0] * (400//width * (1- ratio))), int(200 * (1 - ratio) - focalpoint[1] * (400//height * (1 - ratio)))))\\r\\n\\r\\n # Paste the images together in stacked\\r\\n imgFrame = PIL.Image.fromarray(cv2.resize(rgbFrame, (200, 200)))\\r\\n stacked.paste(imgFrame, (0, 200 * i))\\r\\n\\r\\n # Add the stacked image to the canvas\\r\\n self._pilFrames[\\\"stacked\\\"] = PIL.ImageTk.PhotoImage(image=stacked)\\r\\n self._appCanvas[\\\"stacked\\\"].create_image(100, 0, image=self._pilFrames[\\\"stacked\\\"], anchor=tkinter.NW)\\r\\n\\r\\n # Add the layered image to the canvas\\r\\n self._pilFrames[\\\"layered\\\"] = PIL.ImageTk.PhotoImage(image=layered)\\r\\n self._appCanvas[\\\"layered\\\"].create_image(0, 0, image=self._pilFrames[\\\"layered\\\"], anchor=tkinter.NW)\\r\\n\\r\\n # Add the control image to the canvas\\r\\n imgFrame = cv2.cvtColor(self._system[self._appString[\\\"device\\\"].get()][self._appString[\\\"vision\\\"].get()][self._appString[\\\"frame\\\"].get()], cv2.COLOR_BGR2RGBA)\\r\\n control = PIL.Image.fromarray(cv2.resize(imgFrame, (600, 600)))\\r\\n self._pilFrames[\\\"control\\\"] = PIL.ImageTk.PhotoImage(image=control)\\r\\n self._appCanvas[\\\"control\\\"].create_image(100, 90, image=self._pilFrames[\\\"control\\\"], anchor=tkinter.NW)\\r\\n\\r\\n # Continue to update with a delay of 15\\r\\n self.after(15, self.update)\",\n \"def start(self):\\n\\t\\twhile self.capture_status:\\n\\t\\t\\t_, frame = self.cap.read()\\n\\t\\t\\tc_frame = frame[self.width / 2 - self.face_width / 2: self.width / 2 + self.face_width / 2,\\n\\t\\t\\t self.height / 2 - self.face_width / 2: self.height / 2 + self.face_height / 2, :]\\n\\t\\t\\tif not self.in_processing:\\n\\t\\t\\t\\tself.frame = frame\\n\\t\\t\\t\\tself.in_processing = True\\n\\t\\t\\tsleep(0.2)\\n\\t\\tyield cv2.imdecode('png', c_frame)\",\n \"def style_transfer_postprocess(preprocessed_frame: np.ndarray, image_shape: tuple):\\n\\n postprocessed_frame = np.squeeze(preprocessed_frame, axis=0)\\n # select original height and width from image_shape\\n frame_height = image_shape[0]\\n frame_width = image_shape[1]\\n postprocessed_frame = cv2.resize(postprocessed_frame, (frame_width, frame_height)).astype(\\\"float32\\\") * 255\\n postprocessed_frame = cv2.cvtColor(postprocessed_frame, cv2.COLOR_RGB2BGR)\\n\\n return postprocessed_frame\",\n \"def registerDepthFrame(self, frame):\\n h, w = frame.shape[:2]\\n frame = cv2.warpAffine(frame,self.depth2rgb_affine,(w,h))\\n\\n return frame\",\n \"def pre_handler(frame):\\n img_data, _im0 = preprocess(frame, IMAGE_HEIGHT, IMAGE_WIDTH, False)\\n return kdp_wrapper.convert_float_to_rgba(img_data, 8, 520, True)\",\n \"def gen():\\n while True:\\n retval, frame = vc.read()\\n\\n if retval:\\n #image_processing(frame)\\n frame = cv2.imencode('.jpg', frame)[1].tobytes()\\n yield (b'--frame\\\\r\\\\n'\\n b'Content-Type: image/jpeg\\\\r\\\\n\\\\r\\\\n' + frame + b'\\\\r\\\\n')\",\n \"def process_frame(self, downsize):\\n # if (not hasattr(downsize,'shape')) and (not hasattr(downsize,'len')):\\n # downsize = np.array(downsize)\\n\\n if type(downsize) != np.ndarray:\\n raise TypeError\\n\\n if not downsize.any():\\n raise ValueError\\n\\n if self.pre_resize:\\n downsize = cv2.resize(downsize, (0, 0), fx=self.resize_factor, fy=self.resize_factor)\\n\\n self.frame_history.append(downsize)\\n\\n # Remove no longer needed frames from memory\\n self.frame_history = self.frame_history[-(self.LMC_rec_depth):]\\n downsize = signal.lfilter(self.b, self.a, self.frame_history, axis=0)[-1]\\n\\n # Center surround antagonism kernel applied.\\n\\n downsize = cv2.filter2D(downsize, -1, self.CSKernel)\\n\\n # RTC filter.\\n u_pos = deepcopy(downsize)\\n u_neg = deepcopy(downsize)\\n u_pos[u_pos < 0] = 0\\n u_neg[u_neg > 0] = 0\\n u_neg = -u_neg\\n\\n # On first step, instead of computing just save the images.\\n if self.t == self.T0:\\n self.v_pos_prev = deepcopy(u_pos)\\n self.v_neg_prev = deepcopy(u_neg)\\n self.u_pos_prev = deepcopy(u_pos)\\n self.u_neg_prev = deepcopy(u_neg)\\n\\n # Do everything for pos == ON.\\n tau_pos = u_pos - self.u_pos_prev\\n tau_pos[tau_pos >= 0] = 0.001\\n tau_pos[tau_pos < 0] = 0.1\\n mult_pos = self.rtc_exp(self.dt, tau_pos)\\n v_pos = -(mult_pos - 1) * u_pos + mult_pos * self.v_pos_prev\\n self.v_pos_prev = deepcopy(v_pos)\\n\\n # Do everything for neg == OFF.\\n tau_neg = u_neg - self.u_neg_prev\\n tau_neg[tau_neg >= 0] = 0.001\\n tau_neg[tau_neg < 0] = 0.1\\n mult_neg = self.rtc_exp(self.dt, tau_neg)\\n v_neg = -(mult_neg - 1) * u_neg + mult_neg * self.v_neg_prev\\n self.v_neg_prev = deepcopy(v_neg)\\n\\n # keep track of previous u.\\n self.u_pos_prev = deepcopy(u_pos)\\n self.u_neg_prev = deepcopy(u_neg)\\n\\n # Subtract v from u to give the output of each channel.\\n out_pos = u_pos - v_pos\\n out_neg = u_neg - v_neg\\n\\n # Now apply yet another filter to both parts.\\n out_pos = cv2.filter2D(out_pos, -1, self.H_filter)\\n out_neg = cv2.filter2D(out_neg, -1, self.H_filter)\\n out_pos[out_pos < 0] = 0\\n out_neg[out_neg < 0] = 0\\n\\n if self.t == self.T0:\\n self.out_neg_prev = deepcopy(out_neg)\\n\\n # Delay off channel.\\n out_neg = signal.lfilter(self.b1, self.a1, [self.out_neg_prev, out_neg], axis=0)[-1]\\n self.out_neg_prev = out_neg\\n downsize = out_neg * out_pos\\n\\n # Show image.\\n downsize *= self.gain\\n downsize = np.tanh(downsize)\\n\\n # Threshold.\\n downsize[downsize < self.threshold] = 0\\n\\n if not self.pre_resize:\\n downsize = cv2.resize(downsize, (0, 0), fx=self.resize_factor, fy=self.resize_factor)\\n\\n self.t += self.dt\\n\\n return downsize\",\n \"def calculate_frame(self):\\n frame = self.stream.read()\\n self.keypoints, self.image = self.openpose.forward(frame, True)\",\n \"def pipeline(image, plot = False):\\n # undistort image\\n undistorted_image = undistort_image(image)\\n \\n # R&S|sobel-x thresholding\\n _, _, _, _, threshold_image = thresholding(undistorted_image)\\n \\n # yellow mask\\n _, mask_yellow = filter_color(undistorted_image, np.array([20,100,100]), np.array([50,255,255]))\\n \\n # white mask\\n _, mask_white = filter_color(undistorted_image, np.array([0,0,220]), np.array([255,35,255]))\\n \\n # combine yellow and white mask\\n mask = cv2.bitwise_or(mask_yellow, mask_white)\\n comb_image = np.zeros_like(threshold_image)\\n \\n # combine mask and thresholded image\\n comb_image[(mask > 0)&(threshold_image == 1)] = 1\\n \\n # warp the binary image\\n warped_image, Minv = warp(comb_image, src, dst)\\n if plot:\\n plt.figure(2)\\n plt.imshow(warped_image, cmap = \\\"gray\\\")\\n plt.title(\\\"Binary warped image\\\")\\n \\n # calculate polynomial fit\\n left_fitx, right_fitx, ploty, left_curverad, right_curverad, offset = fit_polynomial(warped_image, plot)\\n \\n # superimpose lines on top of the polynomial\\n superimposed_image = mark_lane_lines(undistorted_image, warped_image, ploty, left_fitx, right_fitx, Minv)\\n cv2.putText(superimposed_image, \\\"Left curvature = \\\" + str(np.round(left_curverad, 2)) + \\\" m\\\",(40,40), \\\\\\n cv2.FONT_HERSHEY_PLAIN, 2, (255,0,0), 2)\\n cv2.putText(superimposed_image,\\\"Right curvature = \\\" + str(np.round(right_curverad, 2)) + \\\" m\\\",(40,80), \\\\\\n cv2.FONT_HERSHEY_PLAIN, 2, (255,0,0), 2)\\n cv2.putText(superimposed_image,\\\"Offset = \\\" + str(np.round(offset*100, 2)) + \\\" cm\\\",(40,120), \\\\\\n cv2.FONT_HERSHEY_PLAIN, 2, (255,0,0), 2)\\n \\n return superimposed_image\",\n \"def process_image():\\n global last_frame, is_streaming\\n i=0\\n\\n imgproc = ImgProc()\\n while(True):\\n if last_frame is not None and is_streaming:\\n time.sleep(0.1)\\n\\n print(\\\"Processing frame \\\", i)\\n imgproc.detect_object(last_frame, i)\\n print(\\\"Processing complete \\\", i)\\n i+=1\",\n \"def captureNextFrame(self):\\n ret, readFrame=self.capture.read()\\n if(ret==True):\\n self.currentFrame=cv2.cvtColor(readFrame,cv2.COLOR_BGR2RGB)\",\n \"def render(self, frame: Frame):\\n\\n cv2.imshow(winname=self.title, mat=frame)\\n cv2.waitKey(delay=self.delay)\\n\\n if self.step:\\n while cv2.waitKey(delay=0) != self.step_key:\\n continue\",\n \"def draw(self, frame):\\n frame[OFS:OFS+self.image.shape[0], OFS:OFS+self.image.shape[1]] = self.image\",\n \"def generate_video(head_model, tail_model, ctx_proc, n_frames, img_size, n_flow, n_block, temp=0.7, label=None):\\n # lookup label embeddings as input to model\\n\\n image = generate_image(head_model, img_size, n_flow, n_block, 1, temp, label=label)\\n frames = [image]\\n state = torch.zeros(1, ctx_proc.nc_state, img_size, img_size).to(device)\\n for j in range(n_frames-1):\\n prev_frame = frames[-1]\\n ctx=prev_frame\\n if args.use_state:\\n # produce new state given the previous frame\\n state = ctx_proc(prev_frame, state)\\n state = ctx_proc.norms[j](state) # normalize each state across all frames\\n # add state to context for glow to generate from\\n ctx = torch.cat([ctx, state], dim=1)\\n\\n frame = generate_image(tail_model, img_size, n_flow // 32, n_block, 1, temp, ctx=ctx)\\n #frame = frames[-1] + delta\\n frames.append(frame)\\n result = torch.stack(frames, dim=1).squeeze(0)\\n return result\",\n \"def stream_frames(video_capture):\",\n \"def run(self):\\n while True:\\n global currentFrame\\n\\n temp = getImageNumber(currentFrame)\\n angle = getMeasurement(currentFrame) * -60\\n height, width, depth = temp.shape\\n newimg = cv2.resize(temp, (width * 3, height * 3))\\n newimg = cv2.cvtColor(newimg, cv2.COLOR_RGB2RGBA)\\n\\n s_img = cv2.imread(\\\"up.png\\\", -1)\\n s_img = self.rotateImage(s_img, angle)\\n s_img = cv2.resize(s_img, (50,50))\\n y_offset = 400\\n x_offset = 50\\n y1, y2 = y_offset, y_offset + s_img.shape[0]\\n x1, x2 = x_offset, x_offset + s_img.shape[1]\\n\\n alpha_s = s_img[:, :, 3] / 255.0\\n alpha_l = 1.0 - alpha_s\\n\\n for c in range(0, 3):\\n newimg[y1:y2, x1:x2, c] = (alpha_s * s_img[:, :, c] +\\n alpha_l * newimg[y1:y2, x1:x2, c])\\n\\n font = cv2.FONT_HERSHEY_SIMPLEX\\n cv2.putText(newimg, str(currentFrame), (10, 50), font, 2, (255, 255, 255), 2, cv2.LINE_AA)\\n cv2.imshow('image', newimg)\\n cv2.waitKey(1)\",\n \"def imaging(input_model, reference_files):\\n detector = cf.Frame2D(name='detector', axes_order=(0, 1), unit=(u.pix, u.pix))\\n v2v3 = cf.Frame2D(name='v2v3', axes_order=(0, 1), unit=(u.deg, u.deg))\\n world = cf.CelestialFrame(reference_frame=coord.ICRS(), name='world')\\n\\n subarray2full = subarray_transform(input_model)\\n imdistortion = imaging_distortion(input_model, reference_files)\\n distortion = subarray2full | imdistortion\\n distortion.bounding_box = imdistortion.bounding_box\\n del imdistortion.bounding_box\\n tel2sky = pointing.v23tosky(input_model)\\n pipeline = [(detector, distortion),\\n (v2v3, tel2sky),\\n (world, None)]\\n return pipeline\",\n \"def pipeline(self,img,debug=0):\\n\\t\\timg = self.cam.undist(img)\\n\\t\\t#get warped binary image\\n\\t\\tbinary_warped = self.cam.warp(Image(img).binary_th())\\n\\t\\tbw_shape = binary_warped.shape\\n\\t\\t\\n\\t\\tif (self.leftLine.detected == True and self.rightLine.detected == True):\\n\\t\\t\\tself.quick_search(binary_warped,debug)\\n\\t\\telse:\\n\\t\\t\\tself.blind_search(binary_warped,debug)\\n\\t\\n\\t\\tif (self.leftLine.fit!=None and self.rightLine.fit!=None):\\n\\t\\t\\tpolygon = self.fill_lane(bw_shape)\\n\\t\\t\\tunwarped_polygon = self.cam.unwarp(polygon)\\n\\t\\t\\t# calculate position of lane's center \\n\\t\\t\\ttemp = np.nonzero(unwarped_polygon[-1,:,1])[0]\\n\\t\\t\\tleft, right = temp[0], temp[-1]\\n\\t\\t\\tself.center = (int(bw_shape[1]/2) - (int((right-left)/2)+int(left)))*7.4/1280\\n\\t\\t\\timg_lines = weighted_img(unwarped_polygon,img, α=1, β=0.5, λ=0.)\\n\\t\\t\\t# write text on image\\n\\t\\t\\tfont = cv2.FONT_HERSHEY_SIMPLEX\\n\\t\\t\\ttext1 = 'Radius of Curvature: {:.0f}m'.format(np.mean((self.leftLine.radius, self.rightLine.radius)))\\n\\t\\t\\ttext2 = 'Distance is {:.2f}m {} of center'.format(abs(self.center), 'left' if self.center<0 else 'right')\\n\\n\\t\\t\\tcv2.putText(img_lines, text1, (100,100), font, 1,(255,255,255),2)\\n\\t\\t\\tcv2.putText(img_lines, text2 ,(100,140), font, 1,(255,255,255),2)\\n\\t\\t\\t\\n\\t\\t\\tif (debug==1):\\n\\t\\t\\t\\tshow_2gr(polygon, unwarped_polygon)\\n\\t\\t\\t\\tshow_2gr(binary_warped, unwarped_polygon)\\n\\n\\t\\t\\treturn img_lines\\n\\n\\t\\telse:\\n\\t\\t\\t# no lines detected and not fit available: return original image\\n\\t\\t\\t# without lines\\n\\t\\t\\treturn img\",\n \"def concatenate_frames(I, Stokes, AOP, DOP, path_process, k, imgs_polar): #, Min, Max, im_cos, im_sin, rho, phi):\\n\\n \\\"\\\"\\\"# Fusion\\n im_fusion = np.zeros((500, 500, 5), dtype=int)\\n im_fusion[:, :, 0] = Stokes[0]\\n im_fusion[:, :, 1] = Stokes[1]\\n im_fusion[:, :, 2] = Stokes[2]\\n im_fusion[:, :, 3] = AOP\\n im_fusion[:, :, 4] = DOP\\n if not os.path.exists(path_process + \\\"Fusion/\\\"):\\n os.mkdir(path_process + \\\"Fusion/\\\")\\n np.save(path_process + \\\"Fusion/\\\" + imgs_polar[k].split(\\\".\\\")[0], im_fusion.astype(np.uint8))\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"# RetinaNet intensities\\n im_I04590 = np.zeros((500, 500, 3))\\n im_I04590[:, :, 0] = I[0]\\n im_I04590[:, :, 1] = I[1]\\n im_I04590[:, :, 2] = I[2]\\n if not os.path.exists(path_process + \\\"I04590/\\\"):\\n os.mkdir(path_process + \\\"I04590/\\\")\\n imageio.imwrite(path_process + \\\"I04590/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_I04590)\\n\\n # Min Max total intensity\\n im_min_max = np.zeros((500, 500, 3))\\n im_min_max[:, :, 0] = Stokes[0]\\n im_min_max[:, :, 1] = Max\\n im_min_max[:, :, 2] = Min\\n if not os.path.exists(path_process + \\\"MinMax/\\\"):\\n os.mkdir(path_process + \\\"MinMax/\\\")\\n imageio.imwrite(path_process + \\\"MinMax/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_min_max)\\n\\n # Cos Sin total intensity\\n im_cos_sin = np.zeros((500, 500, 3))\\n im_cos_sin[:, :, 0] = Stokes[0]\\n im_cos_sin[:, :, 1] = im_cos\\n im_cos_sin[:, :, 2] = im_sin\\n if not os.path.exists(path_process + \\\"CosSin/\\\"):\\n os.mkdir(path_process + \\\"CosSin/\\\")\\n imageio.imwrite(path_process + \\\"CosSin/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_cos_sin)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"# Cos Sin total intensity\\n im_cos_sin = np.zeros((500, 500, 3))\\n im_cos_sin[:, :, 0] = DOP\\n im_cos_sin[:, :, 1] = im_cos\\n im_cos_sin[:, :, 2] = im_sin\\n if not os.path.exists(path_process + \\\"CosSin2_s/\\\"):\\n os.mkdir(path_process + \\\"CosSin2_s/\\\")\\n imageio.imwrite(path_process + \\\"CosSin2_s/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_cos_sin)\\\"\\\"\\\"\\n\\n\\n \\\"\\\"\\\"im_I045135 = np.zeros((500, 500, 3))\\n im_I045135[:, :, 0] = I[0]\\n im_I045135[:, :, 1] = I[3]\\n im_I045135[:, :, 2] = I[1]\\n if not os.path.exists(path_process + \\\"I013545/\\\"):\\n os.mkdir(path_process + \\\"I013545/\\\")\\n imageio.imwrite(path_process + \\\"I013545/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_I045135)\\n\\n im_I090135 = np.zeros((500, 500, 3))\\n im_I090135[:, :, 0] = I[0]\\n im_I090135[:, :, 1] = I[2]\\n im_I090135[:, :, 2] = I[3]\\n if not os.path.exists(path_process + \\\"I090135/\\\"):\\n os.mkdir(path_process + \\\"I090135/\\\")\\n imageio.imwrite(path_process + \\\"I090135/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_I090135)\\n\\n im_I4590135 = np.zeros((500, 500, 3))\\n im_I4590135[:, :, 0] = I[1]\\n im_I4590135[:, :, 1] = I[2]\\n im_I4590135[:, :, 2] = I[3]\\n if not os.path.exists(path_process + \\\"I4590135/\\\"):\\n os.mkdir(path_process + \\\"I4590135/\\\")\\n imageio.imwrite(path_process + \\\"I4590135/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_I4590135)\\n\\n im_I090135 = np.zeros((500, 500, 3))\\n im_I090135[:, :, 0] = I[0] - I[1]\\n im_I090135[:, :, 1] = I[0]\\n im_I090135[:, :, 2] = I[0] + I[1]\\n if not os.path.exists(path_process + \\\"RetinaNet_Ieq1/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_Ieq1/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_Ieq1/\\\" + str(k) + \\\".png\\\", im_I090135)\\n\\n im_I090135 = np.zeros((500, 500, 3))\\n im_I090135[:, :, 0] = I[0] - I[3]\\n im_I090135[:, :, 1] = I[0]\\n im_I090135[:, :, 2] = I[0] + I[3]\\n if not os.path.exists(path_process + \\\"RetinaNet_Ieq2/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_Ieq2/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_Ieq2/\\\" + str(k) + \\\".png\\\", im_I090135)\\n\\n im_I090135 = np.zeros((500, 500, 3))\\n im_I090135[:, :, 0] = I[1] - I[2]\\n im_I090135[:, :, 1] = I[1]\\n im_I090135[:, :, 2] = I[1] + I[2]\\n if not os.path.exists(path_process + \\\"RetinaNet_Ieq3/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_Ieq3/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_Ieq3/\\\" + str(k) + \\\".png\\\", im_I090135)\\n\\n im_I090135 = np.zeros((500, 500, 3))\\n im_I090135[:, :, 0] = I[0]/I[1]\\n im_I090135[:, :, 1] = I[0]/I[2]\\n im_I090135[:, :, 2] = I[0]/I[3]\\n if not os.path.exists(path_process + \\\"RetinaNet_Ieq4/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_Ieq4/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_Ieq4/\\\" + str(k) + \\\".png\\\", im_I090135)\\n\\n im_I4590135 = np.zeros((500, 500, 3))\\n im_I4590135[:, :, 0] = I[0]\\n im_I4590135[:, :, 1] = I[0]/I[1]\\n im_I4590135[:, :, 2] = I[0]/I[2]\\n if not os.path.exists(path_process + \\\"RetinaNet_eq5/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_eq5/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_eq5/\\\" + str(k) + \\\".png\\\", im_I4590135)\\n\\n im_I4590135 = np.zeros((500, 500, 3))\\n im_I4590135[:, :, 0] = I[0]\\n im_I4590135[:, :, 1] = I[0] / I[2]\\n im_I4590135[:, :, 2] = I[0] / I[3]\\n if not os.path.exists(path_process + \\\"RetinaNet_eq6/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_eq6/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_eq6/\\\" + str(k) + \\\".png\\\", im_I4590135)\\n\\n im_I4590135 = np.zeros((500, 500, 3))\\n im_I4590135[:, :, 0] = I[1] / I[0]\\n im_I4590135[:, :, 1] = I[1] / I[2]\\n im_I4590135[:, :, 2] = I[1] / I[3]\\n if not os.path.exists(path_process + \\\"RetinaNet_eq7/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_eq7/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_eq7/\\\" + str(k) + \\\".png\\\", im_I4590135)\\n\\n im_I4590135 = np.zeros((500, 500, 3))\\n im_I4590135[:, :, 0] = I[2] / I[0]\\n im_I4590135[:, :, 1] = I[2] / I[1]\\n im_I4590135[:, :, 2] = I[2] / I[3]\\n if not os.path.exists(path_process + \\\"RetinaNet_eq8/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_eq8/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_eq8/\\\" + str(k) + \\\".png\\\", im_I4590135)\\n\\n im_I4590135 = np.zeros((500, 500, 3))\\n im_I4590135[:, :, 0] = I[3] / I[0]\\n im_I4590135[:, :, 1] = I[3] / I[1]\\n im_I4590135[:, :, 2] = I[3] / I[2]\\n if not os.path.exists(path_process + \\\"RetinaNet_eq9/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_eq9/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_eq9/\\\" + str(k) + \\\".png\\\", im_I4590135)\\n\\n im_I4590135 = np.zeros((500, 500, 3))\\n im_I4590135[:, :, 0] = I[0]/I[1]\\n im_I4590135[:, :, 1] = I[0] / I[2]\\n im_I4590135[:, :, 2] = DOP/255\\n if not os.path.exists(path_process + \\\"RetinaNet_eq10/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_eq10/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_eq10/\\\" + str(k) + \\\".png\\\", im_I4590135)\\\"\\\"\\\"\\n\\n # retinaNet Stokes\\n im_Stokes = np.zeros((Stokes.shape[1], Stokes.shape[2], 3))\\n im_Stokes[:, :, 0] = Stokes[0]\\n im_Stokes[:, :, 1] = Stokes[1]\\n im_Stokes[:, :, 2] = Stokes[2]\\n if not os.path.exists(path_process + \\\"Stokes/\\\"):\\n os.mkdir(path_process + \\\"Stokes/\\\")\\n imageio.imwrite(path_process + \\\"Stokes/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_Stokes)\\n \\\"\\\"\\\"\\n\\n # RetinaNet Params\\n im_Params = np.zeros((500, 500, 3))\\n im_Params[:, :, 0] = Stokes[0]\\n im_Params[:, :, 1] = AOP\\n im_Params[:, :, 2] = DOP\\n if not os.path.exists(path_process + \\\"Params/\\\"):\\n os.mkdir(path_process + \\\"Params/\\\")\\n imageio.imwrite(path_process + \\\"Params/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", im_Params)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"# HSV image\\n HSV = np.zeros((500, 500, 3))\\n HSV[:, :, 0] = AOP / 255 * 179\\n HSV[:, :, 1] = DOP\\n HSV[:, :, 2] = Stokes[0]\\n if not os.path.exists(path_process + \\\"HSV/\\\"):\\n os.mkdir(path_process + \\\"HSV/\\\")\\n imageio.imwrite(path_process + \\\"HSV/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", HSV)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"inten = (I[0] + I[1] + I[2] + I[3]) / 2\\n\\n hsv = np.uint8(cv2.merge(((phi + np.pi/2)/np.pi*180,rho/np.max(rho)*255, inten/inten.max()*255)))\\n if not os.path.exists(path_process + \\\"HSV_2/\\\"):\\n os.mkdir(path_process + \\\"HSV_2/\\\")\\n imageio.imwrite(path_process + \\\"HSV_2/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", hsv)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"# TSV image\\n TSV = np.zeros((500, 500, 3))\\n TSV[:, :, 0] = AOP\\n TSV[:, :, 1] = DOP\\n TSV[:, :, 2] = inten / inten.max() * 255\\n if not os.path.exists(path_process + \\\"RetinaNet_TSV/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_TSV/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_TSV/\\\" + str(k) + \\\".png\\\", TSV)\\n\\n # Pauli image\\n Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[2]\\n Pauli[:, :, 1] = I[1]\\n Pauli[:, :, 2] = I[0]\\n if not os.path.exists(path_process + \\\"RetinaNet_Pauli/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_Pauli/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_Pauli/\\\" + str(k) + \\\".png\\\", Pauli)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[0] + I[2]\\n Pauli[:, :, 1] = I[1]\\n Pauli[:, :, 2] = I[0] - I[2]\\n if not os.path.exists(path_process + \\\"Pauli2/\\\"):\\n os.mkdir(path_process + \\\"Pauli2/\\\")\\n imageio.imwrite(path_process + \\\"Pauli2/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[0] + I[2]\\n Pauli[:, :, 1] = I[1]\\n Pauli[:, :, 2] = I[0] - I[2]\\n if not os.path.exists(path_process + \\\"Pauli2_inv/\\\"):\\n os.mkdir(path_process + \\\"Pauli2_inv/\\\")\\n imageio.imwrite(path_process + \\\"Pauli2_inv/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = Stokes[0]\\n Pauli[:, :, 1] = I[1]\\n Pauli[:, :, 2] = Stokes[1]\\n if not os.path.exists(path_process + \\\"Pauli2/\\\"):\\n os.mkdir(path_process + \\\"Pauli2/\\\")\\n imageio.imwrite(path_process + \\\"Pauli2/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\n\\n Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[0]\\n Pauli[:, :, 1] = (I[1]+I[3])/2\\n Pauli[:, :, 2] = I[2]\\n if not os.path.exists(path_process + \\\"Sinclair/\\\"):\\n os.mkdir(path_process + \\\"Sinclair/\\\")\\n imageio.imwrite(path_process + \\\"Sinclair/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\n\\n Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = Stokes[0]\\n Pauli[:, :, 1] = I[1] + I[3]\\n Pauli[:, :, 2] = Stokes[1]\\n if not os.path.exists(path_process + \\\"Pauli/\\\"):\\n os.mkdir(path_process + \\\"Pauli/\\\")\\n imageio.imwrite(path_process + \\\"Pauli/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\n\\n Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[0]\\n Pauli[:, :, 1] = I[2]\\n Pauli[:, :, 2] = DOP\\n if not os.path.exists(path_process + \\\"Test/\\\"):\\n os.mkdir(path_process + \\\"Test/\\\")\\n imageio.imwrite(path_process + \\\"Test/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\n\\n Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[1]\\n Pauli[:, :, 1] = I[3]\\n Pauli[:, :, 2] = DOP\\n if not os.path.exists(path_process + \\\"Test1/\\\"):\\n os.mkdir(path_process + \\\"Test1/\\\")\\n imageio.imwrite(path_process + \\\"Test1/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\n\\n Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[0]\\n Pauli[:, :, 1] = I[3]\\n Pauli[:, :, 2] = DOP\\n if not os.path.exists(path_process + \\\"Test2/\\\"):\\n os.mkdir(path_process + \\\"Test2/\\\")\\n imageio.imwrite(path_process + \\\"Test2/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\n\\n Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[0]\\n Pauli[:, :, 1] = I[1] + I[2] - I[3]\\n Pauli[:, :, 2] = DOP\\n if not os.path.exists(path_process + \\\"Test3/\\\"):\\n os.mkdir(path_process + \\\"Test3/\\\")\\n imageio.imwrite(path_process + \\\"Test3/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\\"\\\"\\\"\\n\\n \\\"\\\"\\\"Pauli = np.zeros((500, 500, 3))\\n Pauli[:, :, 0] = I[0]\\n Pauli[:, :, 1] = I[1]\\n Pauli[:, :, 2] = (I[0]/I[1]) #/ np.amax(I[0] / I[1]) * 255\\n if not os.path.exists(path_process + \\\"Pauli3/\\\"):\\n os.mkdir(path_process + \\\"Pauli3/\\\")\\n imageio.imwrite(path_process + \\\"Pauli3/\\\" + imgs_polar[k].split(\\\".\\\")[0] + \\\".png\\\", Pauli)\\n\\n Rachel = np.zeros((500, 500, 3))\\n Rachel[:, :, 0] = Stokes[0]\\n Rachel[:, :, 1] = Stokes[1]\\n Rachel[:, :, 2] = DOP\\n if not os.path.exists(path_process + \\\"RetinaNet_Rachel/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_Rachel/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_Rachel/\\\" + str(k) + \\\".png\\\", Rachel)\\n\\n Rachel = np.zeros((500, 500, 3))\\n Rachel[:, :, 0] = I[1]\\n Rachel[:, :, 1] = I[0]\\n Rachel[:, :, 2] = DOP\\n if not os.path.exists(path_process + \\\"RetinaNet_Rachel2/\\\"):\\n os.mkdir(path_process + \\\"RetinaNet_Rachel2/\\\")\\n imageio.imwrite(path_process + \\\"RetinaNet_Rachel2/\\\" + str(k) + \\\".png\\\", Rachel)\\\"\\\"\\\"\",\n \"def observation(self, frame):\\n frame = cv2.resize(frame, (self.width, self.height), interpolation=cv2.INTER_AREA)\\n return frame\",\n \"def execute_pipeline(userId, srcDir, srcName, isShinobi):\\n # print(f'{userId} - {srcDir} - {srcName}')\\n videoSrc = srcDir + '/' + srcName \\n metaDataDict = extract_metadata(videoSrc)\\n\\n video_id = write_metadata(\\n userId, \\n srcName,\\n metaDataDict[\\\"width\\\"], \\n metaDataDict[\\\"height\\\"], \\n metaDataDict[\\\"fps\\\"], \\n metaDataDict[\\\"numframes\\\"]\\n )\\n \\n # Splitting up \\n print(\\\"***************** Splitting up... *****************\\\")\\n call([\\n movieToFrames, \\n videoSrc, \\n str(metaDataDict[\\\"fps\\\"]), \\n srcDir + \\\"\\\"\\\"/frames%d.png\\\"\\\"\\\"\\n ])\\n \\n # Processing\\n shapePoints = []\\n pupilPoints = []\\n skullPoints = []\\n print(\\\"Starting landmark detection...\\\")\\n print(\\\"***************** Starting landmark detection... *****************\\\")\\n for i in range(1, metaDataDict[\\\"numframes\\\"] + 1):\\n imgPath = srcDir + \\\"/frames\\\" + str(i) + \\\".png\\\"\\n imgDest = srcDir + \\\"/landmark\\\" + str(i) + \\\".png\\\"\\n tempDict = detectLandmarks(imgPath, imgDest, isShinobi)\\n shapePoints.append(tempDict[\\\"shape\\\"])\\n pupilPoints.append(tempDict[\\\"pupils\\\"])\\n skullPoints.append(tempDict[\\\"rotation\\\"])\\n \\n # Merging\\n print(\\\"***************** Starting stiching up... *****************\\\")\\n call([\\n framesToMovie, \\n str(metaDataDict[\\\"fps\\\"]), \\n str(metaDataDict[\\\"width\\\"]) + \\\"x\\\" + str(metaDataDict[\\\"height\\\"]), \\n str(metaDataDict[\\\"numframes\\\"]),\\n srcDir + \\\"\\\"\\\"/landmark%d.png\\\"\\\"\\\", \\n srcDir + \\\"/\\\" + str(userId) + '_' + srcName\\n ])\\n \\n write_pupils(video_id, pupilPoints)\\n write_landmarks(video_id, shapePoints)\\n write_skull(video_id, skullPoints)\\n\\n with open(srcDir + \\\"/\\\" + str(userId) + '_' + srcName + '.json', 'w') as cache: \\n metaDataDict[\\\"video_id\\\"] = video_id\\n json.dump(metaDataDict, cache)\",\n \"def preprocess(self, frame: np.ndarray) -> torch.TensorType:\\n tensor = cv.resize(frame, (self.IMGSZ, self.IMGSZ)) \\n tensor = tensor.transpose(2, 0, 1)\\n tensor = torch.from_numpy(tensor)\\n tensor = torch.unsqueeze(tensor, 0)\\n tensor = tensor.half() if self.half else tensor.float()\\n tensor = tensor / 255.0\\n tensor = tensor.to(self.device)\\n\\n return tensor\",\n \"def process(self):\\n frame_count = 0\\n size = self.frame.size\\n while True:\\n try:\\n for i in range(parallel.BUFFER_LENGTH):\\n offset = i * size;\\n self.manager.image[offset : offset + size] = self.frame.ravel()\\n self.ret, self.frame = self.capture.read()\\n if not self.ret:\\n self.clear_buffer(offset=offset + size + 1)\\n raise StopIteration\\n if DEBUG_LEVEL > 2:\\n cv.imshow(self.name, self.frame)\\n frame_count += 1\\n key = cv.waitKey(self.toggle)\\n if key is 27:\\n raise StopIteration\\n return\\n elif key is 32:\\n self.toggle ^= 1\\n self.manager.detect()\\n self.barrier.wait()\\n except StopIteration:\\n # Handle dangling frames in buffer and return gracefully\\n self.manager.detect()\\n self.barrier.wait()\\n self.cleanup()\\n try:\\n # Handle rangequits in Phase 1\\n for rv in self.variables:\\n for event in rv['events']:\\n if event['event_subtype'] == \\\"Finish\\\":\\n return self.variables\\n return None\\n except:\\n # Phase 0 -- no handling\\n return self.variables\\n except:\\n # Any other exception is bad!\\n return None\",\n \"def createPipeline(self, w):\\n\\n # code will make the ximagesink output in the specified window\\n def set_xid(window):\\n gtk.gdk.threads_enter()\\n sink.set_xwindow_id(window.window.xid)\\n sink.expose()\\n gtk.gdk.threads_leave()\\n\\n # this code receives the messages from the pipeline. if we\\n # need to set X11 id, then we call set_xid\\n def bus_handler(unused_bus, message):\\n if message.type == gst.MESSAGE_ELEMENT:\\n if message.structure.get_name() == 'prepare-xwindow-id':\\n set_xid(w)\\n return gst.BUS_PASS\\n\\n # create our pipeline, and connect our bus_handler\\n self.pipeline = gst.Pipeline()\\n bus = self.pipeline.get_bus()\\n bus.set_sync_handler(bus_handler)\\n\\n sink = gst.element_factory_make(\\\"ximagesink\\\", \\\"sink\\\")\\n sink.set_property(\\\"force-aspect-ratio\\\", True)\\n sink.set_property(\\\"handle-expose\\\", True)\\n scale = gst.element_factory_make(\\\"videoscale\\\", \\\"scale\\\")\\n cspace = gst.element_factory_make(\\\"ffmpegcolorspace\\\", \\\"cspace\\\")\\n\\n # our pipeline looks like this: ... ! cspace ! scale ! sink\\n self.pipeline.add(cspace, scale, sink)\\n scale.link(sink)\\n cspace.link(scale)\\n return (self.pipeline, cspace)\",\n \"def convertFrame(self):\\n try:\\n height,width=self.currentFrame.shape[:2]\\n img=QtGui.QImage(self.currentFrame,\\n width,\\n height,\\n QtGui.QImage.Format_RGB888)\\n img=QtGui.QPixmap.fromImage(img)\\n self.previousFrame = self.currentFrame\\n return img\\n except:\\n return None\",\n \"def new_image_callback(self, new_image_msg):\\n self.process_new_frame(\\n self.cv_bridge.imgmsg_to_cv2(\\n new_image_msg,\\n desired_encoding=\\\"bgr8\\\"\\n )\\n )\",\n \"def create_final_image(full_frame):\\n quad_a = full_frame[0, :, :]\\n quad_b = full_frame[1, :, :]\\n quad_c = full_frame[2, :, :]\\n quad_d = full_frame[3, :, :]\\n uv_ccd = np.concatenate((quad_d, np.fliplr(quad_c)),\\n axis=1)\\n visible_ccd = np.concatenate((np.flipud(quad_a), np.rot90(quad_b, 2)),\\n axis=1)\\n processed_image = np.concatenate((uv_ccd, visible_ccd), axis=0)\\n return processed_image\",\n \"def add_image_to_frame_list(self,startFrame, endFrame, imageName): \\n for i in range(startFrame-1, endFrame-1):\\n try:\\n # image = imageio.imread(imageName)\\n im = Image.open(imageName)\\n im = im.resize((720, 720))\\n self.frame_list.append(im)\\n # self.frame_list.append(im)\\n\\n except:\\n print (imageName, \\\" not found.\\\")\\n # BufferedImage bi= new BufferedImage(320,240,BufferedImage.TYPE_BYTE_GRAY);\\n im=self.blank\\n self.frame_list.append(im)\",\n \"def process(\\n self,\\n image: np.array\\n ) -> np.array:\\n pass\",\n \"def annotated_frame(self, original_frame):\\n frame = original_frame.copy()\\n\\n if self.pupils_located:\\n color = (0, 255, 0)\\n x_left, y_left = self.pupil_left_coords()\\n x_right, y_right = self.pupil_right_coords()\\n cv2.line(frame, (x_left - 5, y_left), (x_left + 5, y_left), color)\\n cv2.line(frame, (x_left, y_left - 5), (x_left, y_left + 5), color)\\n cv2.line(frame, (x_right - 5, y_right), (x_right + 5, y_right), color)\\n cv2.line(frame, (x_right, y_right - 5), (x_right, y_right + 5), color)\\n\\n return frame\",\n \"def NextFrame(self, event):\\n buffer = self.GetDataBuffer()\\n if buffer is not None:\\n # Update bitmap widget with new image frame:\\n self.bitmap.CopyFromBuffer(buffer)\\n # Refresh panel to draw image into bitmap:\\n self.Refresh()\\n pass\",\n \"def run(input_video_file, output_video_file):\\n print(\\\"Debut de la transformation du format de la video\\\")\\n #récupération de la vidéo\\n video = cv2.VideoCapture(input_video_file)\\n #fps de la vidéo\\n fps = video.get(cv2.CAP_PROP_FPS)\\n #largeur des images de la vidéo\\n width_video = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))\\n #hauteur des images de la vidéo\\n height_video = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))\\n #nombre d'images dans la vidéo\\n frame_count = int(video.get(cv2.CAP_PROP_FRAME_COUNT))\\n #durée de la vidéo\\n duration = frame_count/fps\\n #nouvelle durée de la vidéo (on arrondi)\\n new_duration = math.floor(duration)\\n #nouveau fps de la vidéo\\n new_fps = float(round(fps))\\n #appliquer le nouveau fps\\n video.set(cv2.CAP_PROP_FPS,new_fps)\\n #appliquer la nouvelle durée\\n print(new_duration)\\n print(new_fps)\\n print(new_duration*new_fps)\\n new_frame_count = new_duration*new_fps\\n video.set(cv2.CAP_PROP_FRAME_COUNT,new_duration*new_fps)\\n #déffinition du format de la vidéo en sortie\\n video_out = cv2.VideoWriter(output_video_file,0x7634706d,new_fps,(width_video,height_video),True)\\n \\n count = 0\\n #ouverture de la vidéo\\n while(video.isOpened()):\\n #lecture image par image\\n ret, frame = video.read()\\n if ret==True:\\n\\n #ecriture de l'image dans la vidéo en sortie\\n video_out.write(frame)\\n count = count + 1\\n \\n if (count > (new_frame_count-1)):\\n # Libérer la vidéo\\n video.release()\\n break\\n else:\\n break\\n\\n print(\\\"fin de la transformation\\\")\\n #fermer les vidéos\\n video.release()\\n video_out.release()\",\n \"def player_processframe_event(self, frame):\\n\\t\\tpaths = self._panel_path.value.datasets\\n\\t\\tareas = self._panel_area.value.datasets\\n\\t\\tcolors = self._panel_colors.value.datasets\\n\\t\\timages = self._panel_imgs.value.images\\n\\n\\t\\t# check if should use the current frame or an image selected to background\\n\\t\\tframe = frame if len(images)!=1 else images[0].image.copy()\\n\\t\\tindex = self._player.video_index-1\\n\\t\\n\\t\\tfor path in paths:\\n\\t\\t\\t# draw the path if the option is selected\\n\\t\\t\\tif self._drawpath.value: path.draw_path(frame, None, index)\\n\\n\\t\\t\\tarea = self.get_object_area(path, areas, index)\\n\\t\\t\\tif area is not None:\\n\\t\\t\\t\\tcolor \\t = self.get_object_color(path, colors, index)\\n\\t\\t\\t\\tposition = path.get_position(index)\\n\\t\\t\\t\\t\\n\\t\\t\\t\\tif position is not None and area is not None and color is not None:\\n\\t\\t\\t\\t\\tradius = int(round(math.sqrt(area/math.pi)))\\t\\t\\t\\t\\n\\t\\t\\t\\t\\tcv2.circle(frame, position, radius, color, -1)\\n\\n\\t\\tself.draw_events(index, frame)\\n\\n\\t\\treturn frame\",\n \"def annotated_frame(self):\\n frame = self.frame.copy()\\n if self.pupils_located:\\n color = (0, 255, 0)\\n x_left, y_left = self.pupil_left_coords()\\n x_right, y_right = self.pupil_right_coords()\\n # cv2.line(frame, (x_left - 5, y_left), (x_left + 5, y_left), color)\\n # cv2.line(frame, (x_left, y_left - 5), (x_left, y_left + 5), color)\\n # cv2.line(frame, (x_right - 5, y_right), (x_right + 5, y_right), color)\\n # cv2.line(frame, (x_right, y_right - 5), (x_right, y_right + 5), color)\\n return frame\",\n \"def registerDepthFrame(self, frame):\\n frame = cv2.warpAffine(frame, self.depth2rgb_affine,\\n (frame.shape[1], frame.shape[0]))\\n return frame\",\n \"def visualize_flow(src, flow_comp_func):\\n\\n # Flag specifying whether this is the first frame or not.\\n first_frame = True\\n \\n # Initialize video stream.\\n video_capture = cv2.VideoCapture(src)\\n if not video_capture.isOpened():\\n raise RuntimeError(\\\"Error opening video stream.\\\")\\n \\n # Previous frame buffer and results array.\\n prev = None\\n res = []\\n \\n # Set frame counter.\\n count = 0\\n FRAME_LIM = 200\\n \\n # While there is video and while below frame index limit.\\n while video_capture.isOpened() and count < FRAME_LIM:\\n\\n # Increment frame count.\\n count += 1\\n print(\\\"Processing frame {0}/{1}\\\".format(count, FRAME_LIM))\\n\\n # Get next frame.\\n ret, frame = video_capture.read()\\n if ret:\\n frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\\n \\n # If first frame ...\\n if first_frame:\\n \\n # Set frame as previous frame.\\n prev = frame_gray\\n prev_original = frame\\n \\n # Set first frame flag to false.\\n first_frame = False\\n\\n else:\\n\\n # Compute flow using current frame and frame\\n # in previous buffer.\\n u, v = flow_comp_func(prev.astype(float)/255.0, frame_gray.astype(float)/255.0)\\n \\n\\n ### TODO - remove ###\\n # import pdb\\n # pdb.set_trace()\\n # fig2, ((ax2_11, ax2_12), (ax2_21, ax2_22)) = plt.subplots(2, 2)\\n # ax2_11.imshow(prev)\\n # ax2_12.imshow(frame_gray)\\n # show_flow(u, v, ax2_21, type='angle')\\n # show_flow(u, v, ax2_22, type='field', set_aspect=True)\\n # fig2.suptitle('Horn−Schunck Optical Flow')\\n ######\\n\\n # Add optical flow visualization to image in prev buffer.\\n vis_nxt = superimpose_field(u, v, prev_original)\\n\\n prev = frame_gray\\n prev_original = frame\\n\\n # Store visualization in results buffer\\n res.append(vis_nxt)\\n\\n else:\\n break\\n \\n # Release stream.\\n video_capture.release()\\n\\n # Create gif file from images.\\n imageio.mimsave('roundabout_hs.gif', res)\",\n \"def motion_extraction():\\n # iterate through frames\\n global frame_height, frame_width\\n global limb_coords, init_coords\\n frame_count = 0\\n has_frames, frame = capture.read()\\n\\n while has_frames:\\n img_out = frame.copy()\\n img_out = insert_padding(img_out, 14*14, 12*14)\\n\\n if frame_count == 0:\\n # change global values of height and width\\n frame_height = frame_height + 14*14*2\\n frame_width = frame_width + 12*14*2\\n get_start_positions(img_out)\\n img_out2 = segment_red(img_out, 200, 130)\\n #erode(img_out2, 4, 6)\\n remove_artifacts(img_out2)\\n #enhance_contrast(img_out2)\\n\\n if frame_count > 0:\\n get_motion(prev_frame, img_out2, frame_count)\\n\\n prev_frame = img_out2.copy()\\n frame_count += 1\\n has_frames, frame = capture.read()\",\n \"def gen(camera):\\n #time.sleep(3)\\n while True:\\n frame = camera.get_frame()\\n yield (b'--frame\\\\r\\\\n'\\n b'Content-Type: image/jpeg\\\\r\\\\n\\\\r\\\\n' + frame + b'\\\\r\\\\n')\",\n \"def augment(self, image):\\n pass\",\n \"def splitTransform(self):\\n\\t\\t#path_merge = \\\"transform\\\"\\n\\t\\t#path_train = \\\"transform/data/\\\"\\n\\t\\t#path_label = \\\"transform/label/\\\"\\n\\t\\tpath_merge = \\\"train/merge\\\"\\n\\t\\tpath_train = \\\"train/image\\\"\\n\\t\\tpath_label = \\\"train/label\\\"\\n\\t\\ttrain_imgs = glob.glob(path_merge+\\\"/*.\\\"+self.img_type)\\n\\t\\tfor imgname in train_imgs:\\n\\t\\t\\tmidname = imgname[imgname.rindex(\\\"/\\\")+1:imgname.rindex(\\\".\\\"+self.img_type)]\\n\\t\\t\\timg = cv2.imread(imgname)\\n\\t\\t\\timg_train = img[:,:,2]#cv2 read image rgb->bgr\\n\\t\\t\\timg_label = img[:,:,0]\\n\\t\\t\\tcv2.imwrite(path_train+midname+\\\".\\\"+self.img_type,img_train)\\n\\t\\t\\tcv2.imwrite(path_label+midname+\\\".\\\"+self.img_type,img_label)\",\n \"def preprocess_output(self, face_box, frame):\\n if face_box is None or frame is None or frame.size < 1:\\n return None, None\\n else:\\n face_box = helpers.fit(face_box, frame)\\n face_img = helpers.crop(frame, face_box)\\n return face_img, face_box\",\n \"def tagVideo(modelpath, videopath, outputPath=None): \\n model = get_model_instance_segmentation(3)\\n device = torch.device(\\\"cuda:0\\\" if torch.cuda.is_available() else \\\"cpu\\\")\\n # model.load_state_dict(torch.load(modelpath, map_location=device), strict=False)\\n model.load_state_dict(torch.load(modelpath, map_location=device))\\n model = model.to(device)\\n model.eval()\\n\\n \\n data_transform = transforms.Compose([\\n ToPILImage(),\\n transforms.ToTensor(), \\n ])\\n\\n\\n if outputPath:\\n writer = FFmpegWriter(str(outputPath))\\n \\n font = cv2.FONT_HERSHEY_SIMPLEX\\n cv2.namedWindow('main', cv2.WINDOW_NORMAL)\\n labels = ['No mask', 'Mask']\\n labelColor = [(10, 0, 255), (10, 255, 0)]\\n img_count = 0\\n outputDir = os.path.dirname(os.path.realpath(outputPath))\\n frame_count = 0\\n boundingBoxes = []\\n for frame in vreader(str(videopath)):\\n frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\\n print('Frame:', frame_count)\\n\\n if frame_count%30==0:\\n frameTensor = data_transform(frame)\\n frameTensor = torch.unsqueeze(frameTensor, 0).to(device)\\n output = model(frameTensor)\\n boundingBoxes = plot_image_new(frame, frameTensor[0], output[0]) \\n \\n if len(boundingBoxes)>0:\\n for bb in boundingBoxes:\\n cv2.rectangle(frame,\\n (bb[0], bb[1]),\\n (bb[2], bb[3]),\\n (54, 66, 227),\\n thickness=2)\\n\\n cv2.imshow('main', frame)\\n if outputPath:\\n writer.writeFrame(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))\\n if cv2.waitKey(1) & 0xFF == ord('q'):\\n break\\n frame_count += 1\\n if outputPath:\\n writer.close()\\n cv2.destroyAllWindows()\",\n \"def convertFrame(self):\\r\\n try:\\r\\n height, width = self.currentFrame.shape[:2]\\r\\n img = QtGui.QImage(self.currentFrame,\\r\\n width,\\r\\n height,\\r\\n QtGui.QImage.Format_RGB888)\\r\\n img = QtGui.QPixmap.fromImage(img)\\r\\n self.previousFrame = self.currentFrame\\r\\n return img\\r\\n except:\\r\\n return None\",\n \"def frames(self):\\n while True:\\n ret, frame = self.classification()\\n if ret == True:\\n yield cv2.imencode('.jpg', frame)[1].tobytes()\\n else:\\n break\",\n \"def step(self, frame):\\n if not self._stack:\\n # Fill stack with copies of first frame if empty.\\n self._stack.extend([frame] * (self._num_frames - 1))\\n self._stack.append(frame)\\n # Match BCAgent's stacking along axis 2.\\n stacked_frames = np.stack(self._stack, axis=2)\\n\\n if not self._flatten:\\n return stacked_frames\\n else:\\n new_shape = stacked_frames.shape[:-2] + (-1,)\\n return stacked_frames.reshape(*new_shape)\",\n \"def pipeline():\\n\\n test_pipeline = (Pipeline()\\n .init_variable('current_loss')\\n .init_model('model', C('model_class'),\\n 'dynamic', C('model_config'))\\n .to_array(dtype='float32')\\n .train_model('model',\\n inputs=B('images'),\\n targets=B('labels'),\\n outputs='loss',\\n save_to=V('current_loss'))\\n )\\n return test_pipeline\",\n \"def apply(self, image):\\n\\n bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)\\n\\n # Convert to float image\\n float_im = bgr.copy().astype('float32') / 255\\n blurred = cv2.GaussianBlur(float_im, ksize=(9, 9), sigmaX=1, sigmaY=9)\\n cplanes = colors.bgr2cpaces(blurred)\\n lanes, py, pw = finder.find_lane_pixels(cplanes, self.pfilter, gamma=0.4)\\n\\n binary = lanes\\n\\n # Find lanes and fit curves\\n if not self.curve:\\n self.sw.find(binary)\\n self.curve= CurveSearch(self.sw.left_fit, self.sw.right_fit,\\n image_size=self.warped_image_size, margin=20)\\n lane = self.sw.visualize_lane()\\n curve_rad = self.measure_curvature(self.sw.left_fit, self.sw.right_fit)\\n offset = self.measure_offset(self.sw.left_fit, self.sw.right_fit)\\n else:\\n self.curve.find(binary)\\n lane = self.curve.visualize_lane()\\n curve_rad = self.measure_curvature(self.curve.left_fit, self.curve.right_fit)\\n offset = self.measure_offset(self.curve.left_fit, self.curve.right_fit)\\n\\n non_warped_lane = self.warp_inverse(lane)\\n\\n result = cv2.addWeighted(image, 1, non_warped_lane, 0.3, 0)\\n cv2.putText(result, \\\"Curve Radius: {:.0f}m\\\".format(curve_rad), (50,50), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255))\\n cv2.putText(result, \\\"Off Center: {:.2f}m\\\".format(offset), (50, 100),\\n cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255))\\n\\n return result\",\n \"def post_processing(frame,\\r\\n enable_spatial=True,\\r\\n enable_temporal=True,\\r\\n enable_hole=True,\\r\\n spatial_params=[(rs.option.filter_magnitude, 5), \\r\\n (rs.option.filter_smooth_alpha, 1),\\r\\n (rs.option.filter_smooth_delta, 50),\\r\\n (rs.option.holes_fill, 3)],\\r\\n temporal_params=[],\\r\\n hole_params=[]):\\r\\n # Filters and settings\\r\\n depth_to_disparity = rs.disparity_transform(True)\\r\\n disparity_to_depth = rs.disparity_transform(False)\\r\\n\\r\\n # Depth to disparity before spatial and temporal filters\\r\\n frame = depth_to_disparity.process(frame)\\r\\n\\r\\n # Spatial filter\\r\\n if enable_spatial:\\r\\n # Settings\\r\\n spatial = rs.spatial_filter()\\r\\n for spatial_param in spatial_params:\\r\\n spatial.set_option(spatial_param[0], spatial_param[1])\\r\\n\\r\\n # Apply on frame\\r\\n frame = spatial.process(frame)\\r\\n\\r\\n # Temporal filter\\r\\n if enable_temporal:\\r\\n temporal = rs.temporal_filter()\\r\\n for temporal_param in temporal_params:\\r\\n temporal.set_option(temporal_param[0], temporal_param[1])\\r\\n frame = temporal.process(frame)\\r\\n\\r\\n # Back to depth\\r\\n frame = disparity_to_depth.process(frame)\\r\\n\\r\\n # Hole filling\\r\\n if enable_hole:\\r\\n hole_filling = rs.hole_filling_filter()\\r\\n for hole_param in hole_params:\\r\\n hole_filling.set_option(hole_param[0], hole_param[1])\\r\\n frame = hole_filling.process(frame)\\r\\n\\r\\n return frame\",\n \"def camframes(tree, cam_frame):\\n campath = '.PIMAX3'\\n cam_frame = cam_frame + 1\\n AddNodeWithTag(tree, campath + ':FRAME_' + str(cam_frame), 'NUMERIC',\\n 'PIMAX_FRAME' + str(cam_frame))\\n AddNumericWithUnit(tree, campath + '.FRAME_' + str(cam_frame) +\\n ':EXPOSURE', 'EXPOSURE_PFRAME' + str(cam_frame), 's')\\n AddNumericWithUnit(tree, campath + '.FRAME_' + str(cam_frame) + ':DELAY', \\n 'GATEDELAY_PFRAME' + str(cam_frame), 's')\",\n \"def prepare_test_frames(self, idx):\\n results = copy.deepcopy(self.video_infos[idx])\\n results['filename_tmpl'] = self.filename_tmpl\\n results['modality'] = self.modality\\n results['start_index'] = self.start_index\\n ann_frame_dir = results['frame_dir'].replace(self.data_prefix,\\n self.anno_prefix)\\n results['seg_map'] = osp.join(\\n ann_frame_dir,\\n self.filename_tmpl.format(0).replace('jpg', 'png'))\\n return self.pipeline(results)\",\n \"def __init__(self, frames=[]):\\n # All the frames are converted to TextImage objects.\\n self.frames = list(map(TextImage, frames))\",\n \"def create_image_pyramids(self):\\r\\n curr_cam0_img = self.cam0_curr_img_msg.image\\r\\n # self.curr_cam0_pyramid = cv2.buildOpticalFlowPyramid(\\r\\n # curr_cam0_img, self.config.win_size, self.config.pyramid_levels, \\r\\n # None, cv2.BORDER_REFLECT_101, cv2.BORDER_CONSTANT, False)[1]\\r\\n self.curr_cam0_pyramid = curr_cam0_img\\r\\n\\r\\n curr_cam1_img = self.cam1_curr_img_msg.image\\r\\n # self.curr_cam1_pyramid = cv2.buildOpticalFlowPyramid(\\r\\n # curr_cam1_img, self.config.win_size, self.config.pyramid_levels, \\r\\n # None, cv2.BORDER_REFLECT_101, cv2.BORDER_CONSTANT, False)[1]\\r\\n self.curr_cam1_pyramid = curr_cam1_img\",\n \"def generate():\\n global output_frame, lock\\n while True:\\n with lock:\\n if output_frame is None:\\n continue\\n (flag, encoded_image) = cv2.imencode(\\\".jpg\\\", output_frame)\\n if not flag:\\n continue\\n yield (b'--frame\\\\r\\\\n' b'Content-Type: image/jpeg\\\\r\\\\n\\\\r\\\\n' +\\n bytearray(encoded_image) + b'\\\\r\\\\n')\",\n \"def __init__(self, batch_env):\\n\\n dims = [84, 84]\\n nature_transform = lambda o: tf.image.rgb_to_grayscale( # pylint: disable=g-long-lambda\\n tf.image.resize_images(o, dims))\\n\\n super(WarpFrameWrapper, self).__init__(batch_env, transform_observation=(\\n nature_transform, dims, tf.float32))\",\n \"def make_video(data,\\n xdim, ydim, sample_read_rows, sample_read_cols, image_write_rows, image_write_cols,\\n directory, filename, fps = 24.0, start_frame = 1, end_frame = None, timestamp = False, fontsize = 30, ts_pos = (0,0), save_raw = False):\\n\\n #Command to send via the command prompt which specifies the pipe parameters\\n # command = ['ffmpeg',\\n # '-y', # (optional) overwrite output file if it exists\\n # '-f', 'image2pipe',\\n # '-vcodec', 'mjpeg', #'mjpeg',\\n # '-r', '1',\\n # '-r', str(fps), # frames per second\\n # '-i', '-', # The input comes from a pipe\\n # '-an', # Tells FFMPEG not to expect any audio\\n # '-vcodec', 'mpeg4',\\n # '-b:v', '5000k',\\n # directory + filename + \\\"/\\\"+filename+\\\".mp4\\\",\\n # '-hide_banner',\\n # '-loglevel', 'panic']\\n\\n # Create directories if they don't exist\\n if not os.path.exists(os.path.join(directory, filename, 'frames/')):\\n os.makedirs(os.path.join(directory, filename, 'frames/'))\\n if save_raw and not os.path.exists(os.path.join(directory, filename, 'frames-raw/')):\\n os.makedirs(os.path.join(directory, filename, 'frames-raw/'))\\n\\n if end_frame == None:\\n end_frame = data.FrameCount\\n\\n cm = colormap.get_cmap('viridis')\\n\\n for i, frame_offset in enumerate(tqdm.tqdm(range(start_frame, end_frame))):\\n frame = FrameRead(data, frame_offset)\\n frame_image = np.zeros([ydim, xdim], dtype=np.uint8)\\n frame_image[image_write_rows, image_write_cols] = frame.frame_data[sample_read_rows, sample_read_cols]\\n\\n rgb_im = Image.fromarray(cm(frame_image, bytes=True)).convert('RGB')\\n rgb_im.save(os.path.join(directory, filename, 'frames/', f'{i}.jpg'), 'JPEG')\\n\\n if save_raw:\\n Image.fromarray(np.uint8(frame.frame_data), mode='L').save(os.path.join(directory, filename, 'frames-raw/', f'{i}.jpg'), 'JPEG')\",\n \"def __init__(self, frames):\\n self._frames = frames\\n self._out = None\",\n \"def __init__(self, frames):\\n self._frames = frames\\n self._out = None\",\n \"def __init__(self, frames):\\n self._frames = frames\\n self._out = None\",\n \"def __init__(self, frames):\\n self._frames = frames\\n self._out = None\",\n \"def __init__(self, frames):\\n self._frames = frames\\n self._out = None\",\n \"def __init__(self, frames):\\n self._frames = frames\\n self._out = None\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.70714897","0.68649685","0.67296463","0.6588955","0.65738624","0.65543723","0.65153533","0.6485808","0.6470367","0.6332151","0.62973356","0.6296194","0.62521416","0.62226206","0.62107146","0.62040466","0.6200719","0.61632663","0.6150653","0.6135857","0.6127615","0.60991275","0.60951287","0.6071355","0.6058942","0.6038246","0.60366976","0.6033891","0.6032678","0.60286","0.60121095","0.60083866","0.60040784","0.5997873","0.59942776","0.5980825","0.5979414","0.59780884","0.5971989","0.5948592","0.5947269","0.5940676","0.5935967","0.5925732","0.5924167","0.58969826","0.5879622","0.586481","0.58647317","0.5862134","0.5857012","0.5853598","0.58465886","0.58115923","0.5801189","0.57942224","0.5794216","0.5793752","0.5781946","0.57803494","0.5767385","0.57658327","0.5762573","0.57380205","0.5737169","0.5726572","0.572567","0.5702164","0.5696915","0.5684015","0.5677774","0.56771034","0.5676851","0.5676589","0.56743956","0.5666674","0.5665952","0.5661595","0.56594694","0.5659262","0.56427985","0.56411403","0.56406814","0.56404936","0.5637331","0.56363165","0.56356007","0.56328267","0.5631252","0.5628585","0.56212837","0.56191725","0.561051","0.56098974","0.5605515","0.560327","0.560327","0.560327","0.560327","0.560327","0.560327"],"string":"[\n \"0.70714897\",\n \"0.68649685\",\n \"0.67296463\",\n \"0.6588955\",\n \"0.65738624\",\n \"0.65543723\",\n \"0.65153533\",\n \"0.6485808\",\n \"0.6470367\",\n \"0.6332151\",\n \"0.62973356\",\n \"0.6296194\",\n \"0.62521416\",\n \"0.62226206\",\n \"0.62107146\",\n \"0.62040466\",\n \"0.6200719\",\n \"0.61632663\",\n \"0.6150653\",\n \"0.6135857\",\n \"0.6127615\",\n \"0.60991275\",\n \"0.60951287\",\n \"0.6071355\",\n \"0.6058942\",\n \"0.6038246\",\n \"0.60366976\",\n \"0.6033891\",\n \"0.6032678\",\n \"0.60286\",\n \"0.60121095\",\n \"0.60083866\",\n \"0.60040784\",\n \"0.5997873\",\n \"0.59942776\",\n \"0.5980825\",\n \"0.5979414\",\n \"0.59780884\",\n \"0.5971989\",\n \"0.5948592\",\n \"0.5947269\",\n \"0.5940676\",\n \"0.5935967\",\n \"0.5925732\",\n \"0.5924167\",\n \"0.58969826\",\n \"0.5879622\",\n \"0.586481\",\n \"0.58647317\",\n \"0.5862134\",\n \"0.5857012\",\n \"0.5853598\",\n \"0.58465886\",\n \"0.58115923\",\n \"0.5801189\",\n \"0.57942224\",\n \"0.5794216\",\n \"0.5793752\",\n \"0.5781946\",\n \"0.57803494\",\n \"0.5767385\",\n \"0.57658327\",\n \"0.5762573\",\n \"0.57380205\",\n \"0.5737169\",\n \"0.5726572\",\n \"0.572567\",\n \"0.5702164\",\n \"0.5696915\",\n \"0.5684015\",\n \"0.5677774\",\n \"0.56771034\",\n \"0.5676851\",\n \"0.5676589\",\n \"0.56743956\",\n \"0.5666674\",\n \"0.5665952\",\n \"0.5661595\",\n \"0.56594694\",\n \"0.5659262\",\n \"0.56427985\",\n \"0.56411403\",\n \"0.56406814\",\n \"0.56404936\",\n \"0.5637331\",\n \"0.56363165\",\n \"0.56356007\",\n \"0.56328267\",\n \"0.5631252\",\n \"0.5628585\",\n \"0.56212837\",\n \"0.56191725\",\n \"0.561051\",\n \"0.56098974\",\n \"0.5605515\",\n \"0.560327\",\n \"0.560327\",\n \"0.560327\",\n \"0.560327\",\n \"0.560327\",\n \"0.560327\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4792,"cells":{"query":{"kind":"string","value":"Add axes to a subfigure."},"document":{"kind":"string","value":"def add_axes(self, i, j, rect, **kw):\n\n # Get image offset in figure coordinates\n irev = self.nrows - 1 - i\n subfig = self.pad + self.image\n offset = self.margin.bottom_left + irev*subfig.ybox + j*subfig.xbox + self.pad.bottom_left\n\n # Convert image rect to figure rect\n imstart = Box(rect[0], rect[1])\n imshape = Box(rect[2], rect[3])\n figstart = (offset + imstart * self.image) / self.fig\n figshape = imshape * self.image / self.fig\n figrect = [figstart.x, figstart.y, figshape.x, figshape.y]\n\n return self.figure.add_axes(figrect, **kw)"},"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 add_subplot_axes(self, ax, rect, axis_bgcolor=None):\r\n # Modified from\r\n # https://stackoverflow.com/questions/17458580/\r\n box = ax.get_position()\r\n width, height = box.width, box.height\r\n subaxes_box = [(rect[0], rect[1]),\r\n (rect[0] + rect[2], rect[1] + rect[3])]\r\n subaxes_display_coords = ax.transData.transform(subaxes_box)\r\n trans_figure = self.figure.transFigure.inverted()\r\n subaxes_figure_coords = trans_figure.transform(subaxes_display_coords)\r\n x, y = subaxes_figure_coords[0, :]\r\n width, height = (subaxes_figure_coords[1, :] -\r\n subaxes_figure_coords[0, :])\r\n subaxes = self.figure.add_axes(\r\n [x, y, width, height], axis_bgcolor=axis_bgcolor)\r\n x_labelsize = subaxes.get_xticklabels()[0].get_size()\r\n y_labelsize = subaxes.get_yticklabels()[0].get_size()\r\n x_labelsize *= rect[2] ** 0.5\r\n y_labelsize *= rect[3] ** 0.5\r\n subaxes.xaxis.set_tick_params(labelsize=x_labelsize)\r\n subaxes.yaxis.set_tick_params(labelsize=y_labelsize)\r\n return subaxes","def _InitAxes( self ):\n self.ax = self.fig.add_subplot( 111 )","def axes_subplots():\n # gerenate data\n x = np.arange(0, 6 * np.pi+0.2, 0.2)\n y_1 = np.cos(x)\n y_2 = np.sin(2*x)\n y_3 = y_1 + y_2\n\n # display multiple\n fig, axs = plt.subplots(3, 1, sharex=True)\n fig.suptitle('Subplots w/ shared axes')\n axs[0].plot(x, y_1)\n axs[1].plot(x, y_2)\n axs[2].plot(x, y_3)\n axs[0].set_ylabel('$y$')\n axs[1].set_ylabel('$y$')\n axs[2].set_ylabel('$y$')\n\n plt.show()\n\n return None","def setup_axes():\n\taxes = visuals.subplots(1, 2, figsize = (14, 7))\n\taxes[1].set_yscale(\"log\")\n\taxes[0].set_xlabel(\"[Fe/H]\")\n\taxes[0].set_ylabel(\"[Sr/Fe]\")\n\taxes[1].set_xlabel(\"[Sr/Fe]\")\n\taxes[1].set_ylabel(\"Stellar Probability Density\")\n\taxes[0].set_xlim([-2.2, 0.2])\n\taxes[0].set_ylim([-2.4, 0.4])\n\taxes[1].set_xlim([-1.4, 0.4])\n\taxes[1].set_ylim([0.05, 50])\n\treturn axes","def add_subplot(gridRows, gridCols, plotNo):\n pl.subplot(gridRows, gridCols, plotNo)","def panel_axes(self, side, **kwargs):\n return self.figure._add_axes_panel(self, side, **kwargs)","def add_axes(self, ax):\n self._canvas.cd()\n self._axes = ax\n self._canvas.Modified()","def setup_axes(self):\n fig = plt.figure(1)\n axs = fig.add_subplot(1, 1, 1)\n fig.clf()\n axs = plt.subplots(1, 2)\n ax1 : plt.axis = axs[0]\n ax2 : plt.axis = axs[1]\n fig.canvas.draw()\n \n line1_t, = ax1.plot([], label='train')\n line1_v, = ax1.plot([], label='val')\n\n ax1.set_title('Loss vs Iterations')\n ax1.set_xlabel('Iterations')\n ax1.set_ylabel('Loss')\n ax1.grid(True)\n ax1.autoscale()\n # ax1.legend()\n\n line2_t, = ax2.plot([], label='train')\n line2_v, = ax2.plot([], label='val')\n\n ax2.set_title('Accuracy vs Iterations')\n ax2.set_xlabel('Time')\n ax2.set_ylabel('Percent Accuracy')\n ax2.grid(True)\n ax2.autoscale()\n # ax2.legend()\n\n lines = [line1_t, line1_v, line2_t, line2_v]\n\n return fig, ax1, ax2, lines","def plot_main(self):\n\n f, axes = plt.subplots(2, 3, figsize=(16, 8))\n self.data_plot(ax=axes[0, 0])\n self.model_plot(ax=axes[0, 1])\n self.normalized_residual_plot(ax=axes[0, 2], v_min=-6, v_max=6)\n self.source_plot(ax=axes[1, 0], convolution=False, deltaPix_source=0.01, numPix=100)\n self.convergence_plot(ax=axes[1, 1], v_max=1)\n self.magnification_plot(ax=axes[1, 2])\n f.tight_layout()\n f.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0., hspace=0.05)\n return f, axes","def init_axes(self):\n plt.switch_backend(\"cairo\")\n fig = plt.figure(figsize=(15,10))\n ax = fig.add_axes([0.05, 0.15, 0.9, 0.80,])\n return (fig, ax)","def setup_mpl_visuals(self, axes=None) -> None:\n if axes is None:\n axes = self.subplot\n axes.patch.set_facecolor('white')\n axes.set_aspect('equal', 'box')\n axes.set_xlim(-10, 10, auto=True)\n axes.set_ylim(-10, 10, auto=True)\n # TODO: Make XYLim confort to window size/dimensions\n axes.set_xticks([])\n axes.set_yticks([])\n self.figure.subplots_adjust(bottom=0, top=1, left=0, right=1)\n axes.axis('off')","def subplots(fig_width=None, fig_height=None, *args, **kwargs):\n fig_width, fig_height = get_width_height(fig_width, fig_height, columns=2)\n fig, axes = plt.subplots(figsize=(fig_width, fig_height), *args, **kwargs)\n return fig, axes","def set_axes(axes, xlabel, ylabel, xlim, ylim, xscale, yscale, legend):\n axes.set_xlabel(xlabel)\n axes.set_ylabel(ylabel)\n axes.set_xscale(xscale)\n axes.set_yscale(yscale)\n axes.set_xlim(xlim)\n axes.set_ylim(ylim)\n if legend:\n axes.legend(legend)\n axes.grid()","def set_axes(axes, xlabel, ylabel, xlim, ylim, xscale, yscale, legend):\n axes.set_xlabel(xlabel)\n axes.set_ylabel(ylabel)\n axes.set_xscale(xscale)\n axes.set_yscale(yscale)\n axes.set_xlim(xlim)\n axes.set_ylim(ylim)\n if legend:\n axes.legend(legend)\n axes.grid()","def set_axes(axes, xlabel, ylabel, xlim, ylim, xscale, yscale, legend):\n axes.set_xlabel(xlabel)\n axes.set_ylabel(ylabel)\n axes.set_xscale(xscale)\n axes.set_yscale(yscale)\n axes.set_xlim(xlim)\n axes.set_ylim(ylim)\n if legend:\n axes.legend(legend)\n axes.grid()","def _setup_figure(self):\n\n plt.figure(1)\n plt.clf()\n\n # Two main axes\n self._tsne_window = plt.axes([0.05, 0.05, 0.4, 0.4])\n self._main_window = plt.axes([0.05, 0.55, 0.4, 0.4])\n\n # Nine sub axes\n self._sub_windows = []\n for row in range(3):\n for col in range(3):\n tt = plt.axes([0.5+0.17*col, 0.75-0.25*row, 0.15, 0.15])\n tt.set_xticks([])\n tt.set_yticks([])\n self._sub_windows.append(tt)\n\n # Register the button click\n self._cid = plt.figure(1).canvas.mpl_connect('button_press_event', self._onclick)\n\n # Text\n plt.figure(1).text(0.6, 0.2, 'Click with 2nd or 3rd mouse button to select image...')\n plt.figure(1).text(0.05, 0.5, 'Click in main image or tSNE plot to find similar cutouts...')\n plt.figure(1).text(0.6, 0.05, 'The tSNE data reduction calculated from data run through {}'.format(self._model_name), fontsize=8)\n\n # Show\n plt.figure(1).show()\n plt.figure(1).canvas.draw()","def add_figure(self,sig,index,title='',xlabel='',ylabel=''):\n self.last_index = index\n ax = self.fig.add_subplot(self.position+index)\n ax.set_title(title)\n ax.set_xlabel(xlabel)\n ax.set_ylabel(ylabel)\n ax.plot(sig)","def __init__(self):\n self.fig = pl.figure(1,figsize=(8,6), dpi=80 , frameon = True , facecolor = '0.75' , edgecolor = 'w')\n self.fig.add_subplot(111 , axisbg = 'w' , projection = 'rectilinear') #if you want to add axes on particular place: fig.add_axes([0.15, 0.1, 0.7, 0.3]) where -> [begin , bottom to start axes , width , height ]\n self.separated = True #if we have a list and need to plot the plots separated","def plot(self):\n fig, axes = plt.subplots(math.ceil(len(self.plots) / self.col_wrap), self.col_wrap)\n\n for ps, ax in zip(self.plots, axes.flatten()):\n for p in ps:\n if p.x is not None and p.y is not None:\n p.method(x=p.x, y=p.y, *p.args, ax=ax, **p.kwargs)\n else:\n p.method(*p.args, ax=ax, **p.kwargs)\n\n return fig, axes","def populate_plot_axis(self,plot,ax='x'):\n\n fig=plt.gcf()\n\n extra_ax=[]\n\n if ax=='x':\n\n ticks=plot.get_xticks()\n\n lim=plot.get_xlim()\n\n for i in range(len(self.names)):\n\n if i==0:\n\n axn=plot\n\n axn.spines['bottom'].set_position(('outward',10))\n\n axn.spines['bottom'].set_visible(True)\n\n else:\n\n dy_fig=0.08\n\n prev_ax_position=axn.get_position()\n\n extra_ax.append(fig.add_axes(\\\n (prev_ax_position.x0,\\\n prev_ax_position.y0-2*dy_fig,\\\n prev_ax_position.width,\\\n 0),'autoscalex_on',True))\n\n axn=extra_ax[i-1]\n\n axn.yaxis.set_visible(False)\n\n for side in axn.spines.keys():\n\n axn.spines[side].set_linewidth(1)\n\n axn.set_xticks(ticks)\n\n ticksnames=[float(str(x)) for x in self.values[i]]\n\n axn.set_xticklabels(\\\n [\"{:.2f}\".format(x).rstrip('0').rstrip('.') for x in ticksnames],\\\n rotation = 45)\n\n xlab=axn.set_xlabel(self.names[i])\n\n xlab.set_fontsize(10)\n\n axn.tick_params(axis='x',labelsize=10)\n\n axn.set_xlim(lim)\n\n\n\n elif ax=='y':\n\n ticks=plot.get_yticks()\n\n lim=plot.get_ylim()\n\n for i in range(len(self.names)):\n\n if i==0:\n\n axn=plot\n\n axn.spines['left'].set_position(('outward',10))\n\n axn.spines['left'].set_visible(True)\n\n else:\n\n dx_fig=0.08\n\n plot_position=plot.get_position()\n\n prev_ax_position=axn.get_position()\n\n extra_ax.append(fig.add_axes(\\\n (prev_ax_position.x0-2*dx_fig,\\\n prev_ax_position.y0,\\\n 0,\\\n prev_ax_position.height),'autoscalex_on',True))\n\n axn=extra_ax[i-1]\n\n axn.xaxis.set_visible(False) # hide the yaxis\n\n for side in axn.spines.keys(): # 'top', 'bottom', 'left', 'right'\n\n axn.spines[side].set_linewidth(1)\n\n axn.set_yticks(ticks)\n\n ticksnames=[float(str(x)) for x in self.values[i]]\n\n axn.set_yticklabels(\\\n [\"{:.2f}\".format(x).rstrip('0').rstrip('.') for x in ticksnames],\\\n rotation = 45)\n\n ylab=axn.set_ylabel(self.names[i])\n\n ylab.set_fontsize(10)\n\n axn.tick_params(axis='y',labelsize=10)\n\n axn.set_ylim(lim)\n\n else:\n\n raise ValueError(\"Axis can be 'x' or 'y'\")","def addAxes(self):\n numDims = len(self.relation.fieldNames) - 1\n angle = 360 / numDims\n axisDomains = self.relation.axisDomains\n for i in range(numDims):\n axis = PlotAxis(self)\n self.scene().addItem(axis)\n if self.axisAngles and i < len(self.axisAngles):\n axis.setRotation(self.axisAngles[i])\n else:\n axis.setRotation(angle * i)\n self.axes.append(axis)\n\n domain = axisDomains[i]\n text = PlotAxisLabel(\"{}\\n[{:.2f},{:.2f}]\".format(self.relation.fieldNames[i], domain[0], domain[1]))\n text.setFont(self.labelFont)\n self.axisLabels.append(text)\n text.setParentItem(axis)","def createFigure(self,numSubplots,figWidth,figHeight):\r\n#\t\tif self.makeTB:\r\n#\t\t\tself.createToolbar(self.vbox)\r\n#\t\tself.vbox.pack_start(self.myTB,False,False)\r\n\t\tself.axisList=[]\r\n\t\tself.axis=None\r\n\t\t# define handles to widgets\r\n\r\n\t\t############## FIGURE\r\n\t\tself.figure = Figure(dpi=60)\t\t\r\n\t\tself.figure.set_facecolor(figBgColour)\r\n\t\tself.figure.set_edgecolor(figBgColour)\r\n\r\n\t\t#self.axis.set_title('Graph')\r\n\r\n\t\tself.canvas = FigureCanvas(self.figure)\r\n\t\tself.canvas.set_size_request(figWidth,figHeight)\r\n\t\tself.canvas.show()\r\n\t\tself.buttonCallback=self.canvas.mpl_connect('button_press_event', self.OnPress)\r\n#\t\tself.canvas.mpl_connect('resize_event', onAutoScale, None, self.axis, self.canvas)\r\n\r\n \r\n\t\t############## AXIS\r\n\t\t#self.axis=self.figure.add_axes(plotPosition,axisbg=axisColour)\r\n\t\tsubplotList=[]\r\n\t\tfor m in range(numSubplots[0]*numSubplots[1]):\r\n\t\t\tsubplotList.append(numSubplots[0]*100 + numSubplots[1] * 10 + m+1)\r\n\r\n\t\tif len(subplotList)==1:\r\n\t\t\tself.axisList.append(self.figure.add_subplot(111,axisbg=axisColour,polar=self.plotPolar))\r\n\t\t\tself.axisList[0].set_position(PLOT_POSITION)\r\n\t\telse:\r\n\t\t\tfor x in subplotList:\r\n\t\t\t\tself.axisList.append(self.figure.add_subplot(x,axisbg=axisColour))\r\n\r\n\t\tself.axis=self.axisList[0]\r\n\r\n\t\t# format each axis correctly\r\n\t\tfor axis in self.axisList:\r\n\t#\t\tself.axis.grid(True,which='major')\r\n\t\t\taxis.grid(True)\r\n\t#\t\tself.axis.grid(True,which='minor',color='r', linestyle='-', linewidth=2)\r\n\t#\t\tself.axis.set_position(plotPosition)\r\n\r\n\t\t\txax=axis.get_xticklabels()\r\n\t\t\tyax=axis.get_yticklabels()\r\n\r\n\t\t\tfor tick in xax:\r\n\t\t\t\ttick.set_fontsize(axisTextSize)\r\n\r\n\t\t\tfor tick in yax:\r\n\t\t\t\ttick.set_fontsize(axisTextSize)\t\t\r\n\r\n\t\t\r\n\t\tself.legendStr=[]\r\n\t\tself.gaList=[]\r\n\r\n\t\t## add cursor function to axis when mouse is over it\r\n#\t\tself.cursor = Cursor(self.axis, useblit=True, color='red', linewidth=1)\r\n\r\n\t\tself.canvas.draw()\r\n\r\n\t\t# plot a transparent rectangle just on axis 1\r\n\t\tcurrXlim=self.axis.get_xlim()\r\n\t\tdx=abs(currXlim[1]-currXlim[0])\r\n\t\tx0=currXlim[0]\r\n\t\tcurrYlim=self.axis.get_ylim()\r\n\t\tdy=abs(currYlim[1]-currYlim[0])\r\n\t\ty0=currYlim[0]\r\n\r\n\t\tself.axis.r1=plotRect(self.axis,self.canvas,(x0,y0),dx,dy,showRect=self.showRect)\r\n\r\n\t\t#self.axis.cla()\r\n\r\n\t\t\r\n\t\t############## TOOLBAR\r\n\t\t# use a custom version of the matplotlib toolbar\r\n#\t\ttoolbar = NavigationToolbar2(self.canvas, self.win)\r\n\t\tself.toolbar = PlotToolbar(self.canvas,self.win,self.axis)\r\n\t\tzoomtoolbar = PlotZoomToolbar(self.canvas,self.win,self.axis,)\r\n\r\n\t\t# make a TB menu\r\n\t\tmenuList=['|FFT|','Normalised |FFT|','|FFT| & arg(FFT)','|T| & <T','Re & Im (T)','Re & Im (1/T - 1)','n & alpha']\r\n\t\tmnuBtn = MenuToolButtonWidget(menuList, icon=gtk.STOCK_SELECT_COLOR, label='FFT')\r\n\t\tmnuBtn.btn.connect(\"clicked\",self.newFFTwin2,0)\r\n\t\tfor m in range(len(menuList)):\r\n\t\t\tmnuBtn.menuItems[m].connect(\"activate\",self.newFFTwin,m)\r\n\r\n\t\tmnuBtn.btn.set_tooltip_text('Take windowed FFT of ALL lines.')\r\n\t\tself.toolbar.add(mnuBtn.btn)\r\n\r\n\r\n\r\n\t\tsep=gtk.SeparatorToolItem()\r\n\t\tself.toolbar.insert(sep,1)\r\n\r\n\r\n\t\tbtn6=gtk.ToolButton(gtk.STOCK_CLEAR)\r\n\t\tbtn6.connect(\"clicked\",self.OnClear)\r\n\t\tbtn6.set_label('Clear')\r\n\t\tbtn6.set_tooltip_text('Clear the axis.')\r\n\t\tself.toolbar.insert(btn6,1)\r\n\r\n\t\tbtn0=gtk.ToolButton(gtk.STOCK_SAVE_AS)\r\n\t\tbtn0.connect(\"clicked\",self.OnExport)\r\n\t\tbtn0.set_label('Export')\r\n\t\tbtn0.set_tooltip_text('Export data from a curve.')\r\n\t\tself.toolbar.insert(btn0,1)\r\n\r\n\r\n\t\t# make a TB menu\r\n\t\tfitMenuList=['Linear','Polynomial','Exp decay','Subtract exp']\r\n\t\tfitmnuBtn = MenuToolButtonWidget(fitMenuList, icon=gtk.STOCK_ABOUT, label='Fit')\r\n\t\tfitmnuBtn.btn.connect(\"clicked\",self.fitPolynomial,0)\r\n\t\tfor m in range(len(fitMenuList)):\r\n\t\t\tfitmnuBtn.menuItems[m].connect(\"activate\",self.fitPolynomial,m)\r\n\r\n\t\tfitmnuBtn.btn.set_tooltip_text('Fits a polynomial to data (default is a linear fit).')\r\n\t\tself.toolbar.add(fitmnuBtn.btn)\r\n\r\n\r\n\t\tbtn7=gtk.ToolButton(gtk.STOCK_CONVERT)\r\n\t\tbtn7.connect(\"clicked\",self.getBeamWidth)\r\n\t\tbtn7.set_label('Beamwidth')\r\n\t\tbtn7.set_tooltip_text('Get the beamwidth (fits Gaussian to dy/dx).')\r\n\t\tself.toolbar.add(btn7)\r\n\r\n\t\tbtn8=gtk.ToolButton(gtk.STOCK_EDIT)\r\n\t\tbtn8.connect(\"clicked\",self.editPlotParams)\r\n\t\tbtn8.set_label('Axes')\r\n\t\tbtn8.set_tooltip_text('Edit plot parameters.')\r\n\t\tself.toolbar.add(btn8)\r\n\r\n\t\tbtn9=gtk.ToolButton(gtk.STOCK_PROPERTIES)\r\n\t\tbtn9.connect(\"clicked\",self.editLegend)\r\n\t\tbtn9.set_label('Legend')\r\n\t\tbtn9.set_tooltip_text('Edit legend.')\r\n\t\tself.toolbar.add(btn9)\r\n\r\n#\t\tself.toolbar.set_style(gtk.TOOLBAR_BOTH) # make toolbar icons and labels visible\r\n\r\n\t\tif self.makeTB:\r\n\t\t\tself.vbox.pack_start(self.toolbar,False,False)\r\n\r\n\t\tself.vbox.pack_start(self.canvas,True,True)\r\n\t\tself.vbox.pack_start(zoomtoolbar,False,False)\r\n\r\n\t\t####### Line selector/axis alteration toolbar\r\n\t\thbox=gtk.HBox(homogeneous=False, spacing=0)\r\n\r\n\t\tparamNames = ['Line:']\r\n\t\tparamTypes = ['cmb']\r\n\t\tparamDefaultValues = [[]]\r\n\r\n\t\tparamBox = ParamWidget(paramNames,paramTypes,paramDefaultValues)\r\n\t\tself.cmbBox = paramBox.objectList[0]\r\n#\t\tself.cmbBox.connect('changed',self.line_changed)\r\n\r\n\t\tself.hideBtn = gtk.ToggleToolButton(gtk.STOCK_NO)\r\n\t\tself.hideBtn.set_tooltip_text('Hide')\r\n\t\tself.hideBtn.connect('clicked',self.toggle_line)\r\n\t\tparamBox.table.attach(self.hideBtn,0,1,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\r\n\t\t\r\n\t\tself.colourBtn = gtk.ToolButton(gtk.STOCK_COLOR_PICKER)\r\n\t\tself.colourBtn.set_tooltip_text('Colour')\r\n\t\tself.colourBtn.connect('clicked',self.change_colour)\r\n\t\tself.color=gtk.gdk.Color(red=0,green=0,blue=1)\r\n\r\n\t\tparamBox.table.attach(self.colourBtn,1,2,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\r\n\t\t\r\n\t\tself.cmbStyle = gtk.combo_box_new_text()\r\n\r\n\t\tfor style in STYLES:\r\n\t\t\tself.cmbStyle.append_text(style)\r\n\t\tself.cmbStyle.set_active(0)\r\n#\t\tself.style.set_tooltip_text('Line style')\r\n\t\tself.cmbStyle.connect('changed',self.change_style)\r\n\r\n\t\tparamBox.table.attach(self.cmbStyle,2,3,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\r\n\r\n\t\tself.removeBtn = gtk.ToolButton(gtk.STOCK_DELETE)\r\n\t\tself.removeBtn.set_tooltip_text('Remove')\r\n\t\tself.removeBtn.connect('clicked',self.remove_line)\r\n\r\n\t\tparamBox.table.attach(self.removeBtn,3,4,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\r\n\r\n\r\n\t\thbox.pack_start(paramBox.frame,False,False)\r\n\r\n\t\tparamNames = ['Axis:','Left-click sets:']\r\n\t\tparamTypes = ['lbl','cmb']\r\n\t\tparamDefaultValues = ['',['Nothing','Window left','Window right','Axis left','Axis right','Plots point']]\r\n\r\n\t\tparamBox = ParamWidget(paramNames,paramTypes,paramDefaultValues)\r\n\t\thbox.pack_start(paramBox.frame,False,False)\r\n\t\t\r\n\t\tself.cmbBtn = paramBox.objectList[1]\r\n\t\tself.cmbBtn.set_active(0)\r\n\t\tself.cmbBtn.connect(\"changed\", self.onModeChanged)\r\n\r\n\t\thbox.show_all()\r\n\r\n#\t\tself.canvas.mpl_connect('axes_enter_event', self.enter_axes)\r\n#\t\tself.canvas.mpl_connect('axes_leave_event', self.leave_axes)\r\n\r\n\t\tif self.makeTB:\r\n#\t\t\tself.connectToolbar()\r\n\t\t\tself.vbox.pack_start(hbox,False,False)","def add_figure1(self,x,y,index=1,title='',xlabel='',ylabel=''):\n self.last_index = index\n ax = self.fig.add_subplot(self.position+index)\n ax.set_title(title)\n ax.set_xlabel(xlabel)\n ax.set_ylabel(ylabel)\n ax.plot(x,y)","def etio_subplot(df, ax, title, graph_color='skyblue'):\n\n post_dx_histo = histo_dx_includes(df)\n hist_df = pd.DataFrame({\"Dx\": post_dx_histo.index, \"Count\": post_dx_histo.data})\n #hist_df = hist_df.drop(1)\n print(hist_df)\n\n graph_range = range(1,len(hist_df.index)+1)\n ax.hlines(y=graph_range, xmin=0, xmax=hist_df['Count'], color=graph_color)\n ax.plot(hist_df['Count'], graph_range, \"D\", color=graph_color)\n ax.set_yticks(range(1, len(hist_df['Dx'])+1))\n ax.set_yticklabels(hist_df['Dx'], fontsize='10')\n\n ax.set_title(title, fontsize='10')\n return ax","def plot_axes_on_fig(ax, fig=None, geometry=(1, 1, 1)):\n if fig is None:\n fig = plt.figure()\n if ax.get_geometry() != geometry:\n ax.change_geometry(*geometry)\n axes = fig.axes.append(ax)\n return fig, axes","def subplot_to_figure(self):\n if self.format is \"show\":\n plt.show()\n elif self.format is \"png\":\n plt.savefig(self.path + self.filename + \".png\", bbox_inches=\"tight\")","def set_axes(self, a):\r\n self.axes = a","def create_figure(self) -> None:\n plt.ion()\n self.fig = plt.figure(1)\n self.axis = self.fig.add_subplot(111, xlim=(0, 1), ylim=(0, 1))\n self.axis.grid(True)\n plt.xticks(np.linspace(0, 1, self._param[\"n_v\"] + 1))\n plt.yticks(np.linspace(0, 1, self._param[\"n_v\"] + 1))\n a_plt, = self.axis.plot([], [], 'bx', markersize=5)\n l_plt, = self.axis.plot([], [], 'r.', markersize=15)\n self.plots = [a_plt, l_plt]","def __init__(self, subplot_objects):\n self.subplot_objects = subplot_objects","def add_subplots(fig, els_counted, atts_counted, chart_info, name=\"\", log=False):\n if name != \"\":\n if is_filename(name):\n # overview of element/attribute usage for a single text\n draw_chart(els_counted, fig, chart_info[\"elements_used_text\"], log)\n draw_chart(atts_counted, fig, chart_info[\"attributes_used_text\"], log)\n elif is_attname(name):\n # overview for a specific attribute\n draw_chart(atts_counted, fig, chart_info[\"attribute_used\"], log)\n else:\n # overview for a specific element\n draw_chart(els_counted, fig, chart_info[\"element_used\"], log)\n else:\n # overall overview of element and attribute usage\n draw_chart(els_counted, fig, chart_info[\"elements_used_all\"], log)\n draw_chart(atts_counted, fig, chart_info[\"attributes_used_all\"], log)","def ex_subplot(self, X, Y, vert = True, ttls='', argls='', **kwargs):\n go_with_x()\n ax = gca()\n\n num_subplots = len(Y)\n\n if not len(Y) > 1:\n raise Exception, \"Subplot requires at least two Y arguments\"\n\n for i in range(len(Y)):\n argl = ''\n ttl = ''\n\n # parse out list of arguments and titles\n if len(argls) == len(Y):\n argl = argls[i]\n if len(ttls) == len(Y):\n ttl = ttls[i]\n\n # based on vert setting, determine subplot command\n if vert == True:\n sub_num = int('%d%d%d' % (num_subplots, 1, i+1))\n else:\n sub_num = int('%d%d%d' % (1, num_subplots, i+1))\n\n subplot(sub_num)\n\n # If passed a list of indices, pass to twinplot function\n if hasattr(Y[i], '__iter__'):\n self.ex_twinplot(X, Y[i], ttl=ttl, argl=argl, **kwargs)\n else:\n self.ex_plot(X, Y[i], ttl=ttl, argl=argl, **kwargs)\n\n ax = gca()\n\n # Remove redundant axes on subplot\n if vert == True:\n if i+1 != len(Y):\n ax.set_xlabel('')\n else:\n if i != 0:\n ax.set_ylabel('')","def execute(self, fig):\n info = self._params\n renderer = fig._get_renderer()\n with getattr(renderer, \"_draw_disabled\", nullcontext)():\n kwargs = get_tight_layout_figure(\n fig, fig.axes, get_subplotspec_list(fig.axes), renderer,\n pad=info['pad'], h_pad=info['h_pad'], w_pad=info['w_pad'],\n rect=info['rect'])\n if kwargs:\n fig.subplots_adjust(**kwargs)","def __init__(self, subplot_class, *args, **kwargs):\n import pylab\n self.fig = pylab.figure(*args, **kwargs)\n self.subplot_class = subplot_class","def _make_twin_axes(self, *args, **kwargs):\n # Typically, SubplotBase._make_twin_axes is called instead of this.\n # There is also an override in axes_grid1/axes_divider.py.\n if 'sharex' in kwargs and 'sharey' in kwargs:\n raise ValueError('Twinned Axes may share only one axis.')\n ax2 = self.figure.add_axes(self.get_position(True), *args, **kwargs)\n self.set_adjustable('datalim')\n ax2.set_adjustable('datalim')\n self._twinned_axes.join(self, ax2)\n return ax2","def plot_subplots_vel(self, fig_num: int, title: str, y_label: str, vel: np.ndarray) -> matplotlib.figure.Figure:\n fig = plt.figure(fig_num)\n axs = fig.subplots(3, 1, sharex=True)\n marker_graph_init(axs, vel, y_label, self.frame_nums, color='blue')\n plt.tight_layout()\n fig.suptitle(title)\n make_interactive()\n return fig","def adjust_axes(axes):\n # TODO: Uncomment & decide for each subplot!\n for ax in axes.itervalues():\n core.hide_axis(ax)\n\n for k in [\n \"placeholder\",\n \"placeholder1\",\n \"placeholder2\",\n \"spikes_stim\",\n \"spikes_stim1\",\n \"spikes_stim2\",\n \"spikes_post\",\n \"stimulation_schema\"\n ]:\n axes[k].set_frame_on(False)","def bind_to_figure(ax, fig=None):\n\n if fig is not None:\n assert isinstance(fig, plt.Figure), 'argument must be a Figure'\n assert len(fig.axes) == 1, 'figure must have one and only one axes'\n new_ax = fig.axes[0]\n else:\n fig, new_ax = plt.subplots()\n\n new_ax.set_facecolor(ax.get_facecolor())\n\n for line in ax.lines:\n data = line.get_data()\n new_ax.plot(data[0], data[1], linestyle=line.get_linestyle(), color=line.get_color(),\n zorder=line.zorder, label=line.get_label())\n\n for collection in ax.collections:\n data = collection.get_offsets()\n new_ax.scatter(data[:, 0], data[:, 1], marker='s', facecolor=collection.get_facecolors(),\n edgecolor=collection.get_edgecolors(), s=collection.get_sizes(),\n zorder=line.zorder, label=collection.get_label())\n\n for text in ax.texts:\n xx, yy = text.get_position()\n new_ax.text(xx, yy, text.get_text(), family=text.get_fontfamily(),\n fontsize=text.get_fontsize(),\n color=text.get_color(), ha=text.get_horizontalalignment(),\n va=text.get_verticalalignment(), zorder=text.zorder)\n\n for image in ax.images:\n new_ax.imshow(image.get_array(), interpolation=image.get_interpolation())\n\n if ax.legend_:\n new_ax.legend()\n\n new_ax.grid(ax.get_xgridlines(), color=ax.get_xgridlines()[0].get_color(),\n alpha=ax.get_xgridlines()[0].get_alpha())\n new_ax.grid(ax.get_ygridlines(), color=ax.get_xgridlines()[0].get_color(),\n alpha=ax.get_xgridlines()[0].get_alpha())\n\n new_ax.set_xlim(ax.get_xlim())\n new_ax.set_ylim(ax.get_ylim())\n new_ax.set_xlabel(ax.get_xlabel())\n new_ax.set_ylabel(ax.get_ylabel())\n\n return fig","def _add_axes(self, n):\n height = (self.top - self.bottom) / float(self.get_n())\n height = min(height, self.maxheight)\n width = self.right - self.left\n ax = self.figure.add_axes([self.left, self.bottom + (n - 1) * height, width, height])\n return ax","def axes_maker(rows, cols):\n fig = plt.figure()\n current_subplot = [1] # Use list in order to modify\n def next_axes(**kwargs):\n current_subplot[0] += 1\n axes = fig.add_subplot(rows, cols, current_subplot[0] - 1, **kwargs)\n return axes\n return next_axes","def frame():\n fig = plt.figure(figsize = (6, 3))\n\n plt.subplots_adjust(left=.15, bottom=.2, right=.95, top=.9)\n ax = fig.add_subplot(111)\n \n ax.tick_params(axis=\"x\", labelsize=12)\n ax.tick_params(axis=\"y\", labelsize=12)\n\n return fig, ax","def add_subplot(self, plot, i=0, j=0, plot_id=None):\n self.plotlayout.addWidget(plot, i, j)\n self.plots.append(plot)\n if plot_id is None:\n plot_id = id(plot)\n self.manager.add_plot(plot, plot_id)","def _set_axes(self):\n self += helper.line(stroke=\"black\", x1=self.__dict__['x'], x2=self.__dict__['x'], y1=0, y2=self.__dict__['y']*2)\n self += helper.line(stroke=\"black\", x1=0, x2=self.__dict__['x']*2, y1=self.__dict__['y'], y2=self.__dict__['y'])","def plot_subplots(self, fig_num: int, title: str, raw: np.ndarray, smoothed: np.ndarray,\n axes_lbl_entries: Sequence[str]) -> matplotlib.figure.Figure:\n fig = plt.figure(fig_num)\n axs = fig.subplots(3, 1, sharex=True)\n raw_lines = marker_graph_init(axs, raw, '', self.frame_nums, color='red')\n for idx, ax in enumerate(axs):\n plot_utils.update_ylabel(ax, axes_lbl_entries[idx], font_size=10)\n smoothed_lines = marker_graph_add(axs, smoothed, self.frame_nums, color='green')\n plt.tight_layout()\n plt.subplots_adjust(top=0.94)\n fig.suptitle(title)\n fig.legend((raw_lines[0], smoothed_lines[0]), ('Raw', 'Smoothed'), ncol=2, handlelength=0.75,\n handletextpad=0.25, columnspacing=0.5, loc='lower left')\n make_interactive()\n return fig","def prepare_subplot(fig, point_list, cols, rows, number, lims):\n ax = fig.add_subplot(cols, rows, number)\n ax.scatter(list(map(lambda e: e[0], point_list)), list(map(lambda e: e[1], point_list)), s=9)\n ax.set_xlim(lims[0], lims[1])\n ax.set_ylim(lims[0], lims[1])\n return ax","def adjust_figsize(self):\n extra_width = 0\n extra_height = 0\n if 'suptitle' in self.figure_objects:\n suptitle_obj = self.figure_objects['suptitle']\n suptitle_height = self.get_bbox(suptitle_obj).height\n extra_height += suptitle_height\n\n ax_widths = []\n ax_heights = []\n for subplot in self.subplots:\n ax = subplot.ax\n annotations = subplot.annotations\n\n width = 0\n height = 0\n if annotations is not None:\n ax_bbox = self.get_bbox(ax)\n\n if 'title' in annotations:\n title_obj = annotations['title']\n title_height = self.get_bbox(title_obj).height\n height += title_height\n\n xticks_objects = ax.get_xticklabels()\n first_xtick_bbox = self.get_bbox(xticks_objects[0]) # first lower xticklabel bbox\n lower_xticks_height = max(0, ax_bbox.y0 - first_xtick_bbox.y0)\n height += lower_xticks_height\n\n last_xtick_bbox = self.get_bbox(xticks_objects[-1])\n # if last xticklabel bbox is heigher that the first, there are labels atop of the subplot\n if first_xtick_bbox.y0 != last_xtick_bbox.y0:\n upper_xticks_height = max(0, last_xtick_bbox.y1 - ax_bbox.y1)\n height += upper_xticks_height\n\n if 'xlabel' in annotations:\n xlabel_obj = annotations['xlabel']\n xlabel_height = self.get_bbox(xlabel_obj).height\n height += xlabel_height\n\n yticks_objects = ax.get_yticklabels()\n if len(yticks_objects) > 0:\n first_ytick_bbox = self.get_bbox(yticks_objects[0]) # first lower xticklabel bbox\n lower_yticks_width = max(0, ax_bbox.x0 - first_ytick_bbox.x0)\n width += lower_yticks_width\n\n if len(yticks_objects) > 1:\n last_ytick_bbox = self.get_bbox(yticks_objects[-1])\n # if last yticklabel bbox is righter that the first, there are labels to the right of the subplot\n if first_ytick_bbox.x0 != last_ytick_bbox.x0:\n right_yticks_width = max(0, last_ytick_bbox.x1 - ax_bbox.x1)\n width += right_yticks_width\n\n if 'ylabel' in annotations:\n ylabel_obj = annotations['ylabel']\n ylabel_width = self.get_bbox(ylabel_obj).width\n width += ylabel_width\n\n ax_widths.append(width)\n ax_heights.append(height)\n\n nrows, ncols = self.figure_config['ncols'], self.figure_config['nrows']\n ax_widths = np.array(ax_widths).reshape(nrows, ncols)\n extra_width += ax_widths.max(axis=1).sum()\n\n ax_heights = np.array(ax_heights).reshape(nrows, ncols)\n extra_height += ax_heights.max(axis=0).sum()\n\n fig_width, fig_height = self.figure_config['figsize']\n new_figsize = (fig_width + extra_width, fig_height + extra_height)\n self.figure.set_size_inches(new_figsize)","def _handle_axes(self, drawable, option):\n # If we already have an axes object, ignore this one\n if self._axes_object is not None:\n return\n\n # Grab the histogram used for axes style/range manipulation\n if is_stack(drawable) or is_graph(drawable):\n axes_histogram = drawable.GetHistogram()\n else:\n axes_histogram = drawable\n\n # Grab the histogram used for title manipulation\n if is_stack(drawable):\n title_histogram = drawable.GetHists()[0]\n else:\n title_histogram = drawable\n\n # Set the plot title\n title_histogram.SetTitle(self._title)\n\n # Grab axes\n x_axis, y_axis = axes_histogram.GetXaxis(), axes_histogram.GetYaxis()\n\n # Grab titles from first histogram if not set explicitly\n if self._x_title is None:\n self._x_title = title_histogram.GetXaxis().GetTitle()\n if self._y_title is None:\n self._y_title = title_histogram.GetYaxis().GetTitle()\n\n # Style x-axis, or hide it if this plot has a ratio plot\n if self._x_range is not None:\n x_axis.SetRangeUser(*self._x_range)\n if self._ratio_plot:\n x_axis.SetLabelOffset(999)\n x_axis.SetTitleOffset(999)\n else:\n x_axis.SetTitle(self._x_title)\n x_axis.SetTitleSize(self.PLOT_X_AXIS_TITLE_SIZE)\n x_axis.SetTitleOffset(self.PLOT_X_AXIS_TITLE_OFFSET)\n x_axis.SetLabelSize(self.PLOT_X_AXIS_LABEL_SIZE)\n if self._x_integer_ticks:\n x_axis.SetNdivisions(11) # hack for integer ticks \n\n # Style y-axis\n y_axis.SetTitle(self._y_title)\n y_axis.SetLabelFont(self.PLOT_ATLAS_STAMP_TEXT_FONT)\n y_axis.SetTitleSize(\n (self.PLOT_Y_AXIS_TITLE_SIZE_WITH_RATIO\n if self._ratio_plot\n else self.PLOT_Y_AXIS_TITLE_SIZE)\n )\n y_axis.SetTitleOffset(\n (self.PLOT_Y_AXIS_TITLE_OFSET_WITH_RATIO\n if self._ratio_plot\n else self.PLOT_Y_AXIS_TITLE_OFFSET)\n )\n y_axis.SetNdivisions(5,5,0)\n \n # set axis text sizes \n if self._ratio_plot:\n y_axis.SetLabelSize(self.PLOT_Y_AXIS_LABEL_SIZE_WITH_RATIO)\n else:\n y_axis.SetLabelSize(self.PLOT_Y_AXIS_LABEL_SIZE) \n y_axis.SetTitleSize(self.PLOT_Y_AXIS_TITLE_SIZE)\n y_axis.SetTitleOffset(self.PLOT_RATIO_Y_AXIS_TITLE_OFFSET)\n\n # Redraw the drawable with the new style\n drawable.Draw(option)","def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, apportion = None, debug = 0, *args, **kwargs):\n #Note: we use squeeze = False internally, then return axes according to the keyword\n fig, axes = pylab_subplots(nrows=nrows, ncols=ncols, sharex=sharex, sharey=sharey, squeeze=False, *args, **kwargs)\n nrows = len(axes[:,0].flatten())\n # start with even allocation of unity\n fracts = np.ones(nrows)\n # if just one arg, that is the first allocation\n if apportion != None:\n if len(np.shape(apportion)) == 0:\n fracts[0]=apportion\n # fill up the rest\n for (i,a) in enumerate(apportion):\n if i<nrows: fracts[i] = a\n # now make into a fractions\n fracts = fracts/np.sum(fracts)\n\n #loop over axes, bottom to top, extract the space below and the height for each (ignore space above\n above = [] ; height = []\n lasty = 1\n for (i,ax) in enumerate(axes[:,0]):\n bb = ax.get_position().get_points()\n pos = bb.flatten() \n height.append(pos[3]-pos[1])\n above.append(lasty - pos[3] )\n lasty = pos[1]\n\n# loop again, building down from top according to new share, keep margins\n yabove_0 = 1 # the norm. y coord of the bottom of the above graph\n print(above, height)\n for col in range(np.shape(axes)[1]):\n for (i,ax) in enumerate(axes[:,col]):\n if (i==0): yabove = yabove_0\n bb = ax.get_position().get_points()\n pos = bb.flatten() \n # convert to x0,y0, dx, dy form by subtracting origin\n newh = height[i]*fracts[i]*nrows\n\n pos[1] = yabove - newh - above[i]\n pos[3] = newh\n pos[2] = pos[2] - pos[0]\n yabove = pos[1]\n if debug>0: print(pos)\n ax.set_position(pos)\n\n if squeeze: \n if len(np.shape(axes[0]))==0: axes = axes.flatten() \n if len(axes) == 1: axes = axes[0]\n return(fig, axes)","def new_axes(self, name):\n\n return self.figure.add_axes([0.05, 0.05, 0.9, 0.9], label=name)","def func_double_yaxis_data_subplot_show(data_plot_cfg_dic_nlst, axes_cfg_dic_lst,\n nrow, ncol, x_label, y1_label, y2_label,\n sub_titles=None, anno_text_lst=None, fig_title_lst=None,\n fig_size=None, subplot_fit_rect=None):\n\n # Create a figure\n fig, axs = plt.subplots(nrow, ncol, figsize=fig_size)\n\n # Plot the double-axis data for each subplot\n for index, ax in enumerate(axs.flat):\n ax1, ax2 = func_double_yaxis_data_plot(ax, data_plot_cfg_dic_nlst[index], axes_cfg_dic_lst,\n x_label, y1_label, y2_label)\n\n # Config the figure\n if index == 0:\n fontsize_label = axes_cfg_dic_lst[0].get('fontsize_label', 14)\n ax1.set_ylabel(y1_label, color='k', fontsize=fontsize_label)\n ax2.label_outer() # It seems label_outer() doesn't work for ax2, so I remove ytick labels manually\n ax2.set_yticklabels([])\n elif index == (ncol - 1):\n fontsize_label = axes_cfg_dic_lst[1].get('fontsize_label', 14)\n ax2.set_ylabel(y2_label, color='k', fontsize=fontsize_label)\n ax1.label_outer()\n\n ax1.get_legend().remove() # Remove individual legend for each subplot\n ax2.get_legend().remove() # Remove individual legend for each subplot\n # ax1.label_outer()\n # ax2.label_outer()\n\n # Define appearance\n func_matlab_style(ax)\n\n if fig_title_lst is not None:\n ax.set_title(fig_title_lst[index], fontweight='bold')\n if sub_titles is not None:\n ax.text(-25, -43, sub_titles[index], fontsize=11, fontweight='bold')\n if anno_text_lst is not None:\n ax.text(axes_cfg_dic_lst[0]['xlim'][0]+10, -5, anno_text_lst[index], fontsize=8)\n # ax.set_aspect('equal')\n\n ax1_handles, ax1_labels = ax1.get_legend_handles_labels()\n ax2_handles, ax2_labels = ax2.get_legend_handles_labels()\n handles = ax1_handles + ax2_handles\n labels = ax1_labels + ax2_labels\n fontsize_legend = axes_cfg_dic_lst[0].get('fontsize_legend', 12)\n fig.legend(handles, labels, ncol=4, loc='lower center', prop={'size': fontsize_legend})\n\n fig.tight_layout(rect=subplot_fit_rect) # otherwise the right y-label is slightly clipped\n plt.show()","def plot(self, axes):\n if self.is_leaf:\n axes.plot([p.x for p in self.points], [p.y for p in self.points], 'bo')\n else:\n axes.plot([self.centre.x - self.size / 2, self.centre.x + self.size / 2],\n [self.centre.y, self.centre.y], '-', color='gray')\n axes.plot([self.centre.x, self.centre.x],\n [self.centre.y - self.size / 2, self.centre.y + self.size / 2],\n '-', color='gray')\n for child in self.children:\n child.plot(axes)\n axes.set_aspect(1)","def get_ax(rows=1, cols=1, size=8):\r\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\r\n return ax","def set_figure_variables(self):\n #self.fig.canvas.manager.full_screen_toggle()\n self.gs = self.fig.add_gridspec(2, 3)\n self.ax1 = self.fig.add_subplot(self.gs[0, 0])\n self.ax2 = self.fig.add_subplot(self.gs[0, 1])\n self.ax3 = self.fig.add_subplot(self.gs[0, 2])\n self.ax4 = self.fig.add_subplot(self.gs[1, 0])\n self.ax5 = self.fig.add_subplot(self.gs[1, 1])\n self.ax6 = self.fig.add_subplot(self.gs[1, 2])\n # histogram with indicator scoring\n self.ax1.set_xlabel(\"indicators\")\n self.ax1.set_ylabel(\"score (%)\")\n # graph with flood safety levels\n self.ax2.set_xlabel(\"dike section\")\n self.ax2.set_ylabel(\"chance of flooding occurrence\")\n # graph with water levels vs dike height\n self.ax3.set_xlabel(\"river length (meters)\")\n self.ax3.set_ylabel(\"height (meters)\")\n # graph with overall costs made\n self.ax6.set_ylabel(\"million Euros\")\n \n self.ax1.set_ylim([0, 100])\n self.ax2.set_ylim([0, 100])\n self.ax3.set_ylim([14, 18])\n self.ax6.set_ylim([0, 25000000])\n \n self.ax1.set_title(\"Overall score on indicators\")\n self.ax2.set_title(\"Flood safety levels\")\n self.ax3.set_title(\"Normative water levels vs dike crest height\")\n self.ax6.set_title(\"Budget spent\")\n \n self.x_pos = np.arange(len(self.indicators))\n self.ax1.set_xticks(self.x_pos)\n self.ax1.set_xticklabels(self.indicators)\n \n flood_safety_levels = [100, 200, 400, 600, 800, 1000, 1250]\n self.ax2.set_yticks(flood_safety_levels)\n self.ax2.set_yticklabels([\"1/\"+str(value) for value in flood_safety_levels])\n \n self.plot1 = None\n self.plot2 = None\n self.plot3 = None\n self.plot4 = None\n self.plot5 = None\n self.plot6 = None\n return","def plot(self):\n attr = self.Graph[\"root\"]\n if (self.type == 0 or self.type == 1):\n self.subplot_1(attr, 0)\n else:\n self.subplot_2(attr, 0)","def create_four_subplots():\n pass","def create_figure_with_subfigure(exercise_value):\n fig = make_subplots(\n rows=math.ceil(len(exercise_value) / 2),\n cols=2,\n subplot_titles=exercise_value,\n shared_xaxes=True,\n shared_yaxes=True,\n )\n return fig","def subplot_for_map(show_x_axis=False, show_y_axis=False, aspect='equal', **kwargs):\n fig, ax = plt.subplots(**kwargs)\n ax.set_aspect(aspect)\n\n ax.get_xaxis().set_visible(show_x_axis)\n ax.get_yaxis().set_visible(show_y_axis)\n\n if show_x_axis:\n fig.autofmt_xdate()\n\n return fig, ax","def build_scatter_subplot(fig, x, y, row_num, text, xaxis_text, yaxis_text):\n\n # Place provided data\n fig.add_trace(go.Scatter(x=x, y=y, mode=\"markers\", marker=dict(size=10)), row=row_num, col=1)\n # Approximate linear function\n res = sm.OLS(y, sm.add_constant(x)).fit().fittedvalues\n # Place trendline\n fig.add_trace(go.Scatter(x=x, y=res, mode=\"lines\"), row=row_num, col=1)\n # Place subplot (for the first subplot, we need to refer to the title of the figure itself) title\n if row_num == 1:\n fig.update_layout(title={\"text\": text})\n else:\n fig.layout.annotations[row_num - 2].update(text=text)\n # Place axis text\n fig.update_xaxes(title_text=xaxis_text, row=row_num, col=1)\n fig.update_yaxes(title_text=yaxis_text, row=row_num, col=1)","def subplottPNG(self):\n os.chdir(self.mainDir)\n folder = os.listdir(u'.')\n folders = [f for f in folder if f[0] == 'S']\n\n for subject in folders:\n\n try: # go to the 'results' directory\n resultsDir = os.path.join(os.path.join(self.mainDir, subject),'results')\n os.chdir(resultsDir)\n\n # find all files with .png extension\n pngfiles = glob.glob('*.png')\n pngfiles.sort(key = lambda x:x[0])\n pngfiles.sort(key = lambda x:x[1])\n\n fig = plt.figure()\n\n for ii, filename in enumerate(pngfiles):\n f = plt.subplot(4,4,ii+1)\n f.set_axis_off()\n f.set_xlabel('ses:'+str(ii+1))# f.set_figheight(15)\n fig.set_figwidth(30)\n fig.set_figheight(30)\n fig.tight_layout()\n img = matplotlib.image.imread(filename)\n plt.imshow(img)\n\n figname = subject + '_subplot'+ '.png'\n matplotlib.pyplot.savefig(figname)\n\n except Exception as errMessage:\n print(errMessage)","def new_axes(self, ax):\n self.ax = ax\n if self.canvas is not ax.figure.canvas:\n if self.canvas is not None:\n self.disconnect_events()\n\n self.canvas = ax.figure.canvas\n self.connect_default_events()\n\n # Reset\n self._selection_completed = False\n\n if self.direction == 'horizontal':\n trans = ax.get_xaxis_transform()\n w, h = 0, 1\n else:\n trans = ax.get_yaxis_transform()\n w, h = 1, 0\n rect_artist = Rectangle((0, 0), w, h,\n transform=trans,\n visible=False,\n **self._props)\n\n self.ax.add_patch(rect_artist)\n self._selection_artist = rect_artist","def subplot_fit(self):\r\n\r\n self.open_subplot_figure(number_subplots=12)\r\n\r\n self.figures_2d(data=True)\r\n\r\n self.set_title(label=\"Data (Source Scale)\")\r\n self.figures_2d(data=True, use_source_vmax=True)\r\n self.set_title(label=None)\r\n\r\n self.figures_2d(signal_to_noise_map=True)\r\n self.figures_2d(model_image=True)\r\n\r\n self.set_title(label=\"Lens Light Model Image\")\r\n self.figures_2d_of_planes(plane_index=0, model_image=True)\r\n\r\n # If the lens light is not included the subplot index does not increase, so we must manually set it to 4\r\n self.mat_plot_2d.subplot_index = 6\r\n\r\n final_plane_index = len(self.fit.tracer.planes) - 1\r\n\r\n self.mat_plot_2d.cmap.kwargs[\"vmin\"] = 0.0\r\n\r\n self.set_title(label=\"Lens Light Subtracted Image\")\r\n self.figures_2d_of_planes(plane_index=final_plane_index, subtracted_image=True, use_source_vmax=True)\r\n\r\n self.set_title(label=\"Source Model Image (Image Plane)\")\r\n self.figures_2d_of_planes(plane_index=final_plane_index, model_image=True, use_source_vmax=True)\r\n\r\n self.mat_plot_2d.cmap.kwargs.pop(\"vmin\")\r\n\r\n self.set_title(label=\"Source Plane (Zoomed)\")\r\n self.figures_2d_of_planes(plane_index=final_plane_index, plane_image=True, use_source_vmax=True)\r\n\r\n\r\n self.set_title(label=None)\r\n\r\n self.mat_plot_2d.subplot_index = 9\r\n\r\n self.figures_2d(normalized_residual_map=True)\r\n\r\n self.mat_plot_2d.cmap.kwargs[\"vmin\"] = -1.0\r\n self.mat_plot_2d.cmap.kwargs[\"vmax\"] = 1.0\r\n\r\n self.set_title(label=\"Normalized Residual Map (1 sigma)\")\r\n self.figures_2d(normalized_residual_map=True)\r\n self.set_title(label=None)\r\n\r\n self.mat_plot_2d.cmap.kwargs.pop(\"vmin\")\r\n self.mat_plot_2d.cmap.kwargs.pop(\"vmax\")\r\n\r\n self.figures_2d(chi_squared_map=True)\r\n\r\n self.set_title(label=\"Source Plane (No Zoom)\")\r\n self.figures_2d_of_planes(\r\n plane_index=final_plane_index,\r\n plane_image=True,\r\n zoom_to_brightest=False,\r\n use_source_vmax=True\r\n )\r\n\r\n self.set_title(label=None)\r\n\r\n self.mat_plot_2d.output.subplot_to_figure(\r\n auto_filename=\"subplot_fit\"\r\n )\r\n self.close_subplot_figure()","def plot_overlay2axes(self, axes) -> None:\n # calculate height (based on leaf analysis ratio)\n upper_point = (\n self.leaf_center_px - self.leaf_width_px / 2 * self._analysis_ratio\n )\n lower_point = (\n self.leaf_center_px + self.leaf_width_px / 2 * self._analysis_ratio\n )\n height = abs(upper_point - lower_point) * 0.8\n\n for idx, line in enumerate(self.marker_lines):\n width = abs(self.error[idx]) * self._image.dpmm\n y = line.center.y\n x = self.position[idx] - (self.error[idx] * self._image.dpmm) / 2\n\n if self._orientation == Orientation.UP_DOWN:\n r = Rectangle(width, height, center=(x, y))\n # if any of the values are over tolerance, show another larger rectangle to draw the eye\n if not self.passed[idx] or not self.passed_action[idx]:\n re = Rectangle(\n self._image_window.shape[1] * 0.2, height * 1.2, center=(x, y)\n )\n re.plot2axes(\n axes,\n edgecolor=\"none\",\n fill=True,\n alpha=0.5,\n facecolor=self.bg_color[idx],\n )\n else:\n r = Rectangle(height, width, center=(x, y))\n if not self.passed[idx] or not self.passed_action[idx]:\n re = Rectangle(\n self._image_window.shape[1] * 0.2, height * 1.2, center=(x, y)\n )\n re.plot2axes(\n axes,\n edgecolor=\"none\",\n fill=True,\n alpha=0.5,\n facecolor=self.bg_color[idx],\n )\n r.plot2axes(\n axes, edgecolor=\"none\", fill=True, alpha=1, facecolor=self.bg_color[idx]\n )","def setup_figure_1ax(x_label='', y_label='', size=(13, 9), shrink_ax=True):\n\n matplotlib.rcParams.update({'font.size': 20})\n fig, ax = plt.subplots()\n fig.set_size_inches(size)\n ax.set_xlabel(x_label)\n ax.set_ylabel(y_label)\n ax.spines['top'].set_visible(False)\n ax.spines['right'].set_visible(False)\n ax.spines['bottom'].set_visible(False)\n ax.spines['left'].set_visible(False)\n # Shrink current axis by 20%\n if shrink_ax:\n box = ax.get_position()\n ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n ax.grid()\n return fig, ax","def plot_evolution(self, layer, sublayer, figures=[], axes=[]):\n if figures==[]:\n figures.append(plt.figure(\"Basis evolution per recording (euclidean distance between sets of basis)\"))\n distance_legend = [\"Base N: \"+str(i) for i in range(len(self.basis[layer][sublayer]))]\n axes.append(figures[0].add_subplot('111'))\n axes[0].plot(self.basis_distance[layer][sublayer])\n axes[0].legend(tuple(distance_legend))\n axes[0].set_xlabel(\"Recording Number\")\n \n evolution_parameters=np.array([self.noise_history[layer][sublayer], \n self.learning_history[layer][sublayer],\n self.sparsity_history[layer][sublayer],\n self.sensitivity_history[layer][sublayer]]).transpose()\n evolution_legend = (\"Noise\",\"Learning step\",\"Sparsity\",\"Sensitivity\")\n figures.append(plt.figure(\"Network parameter evolution per recording\"))\n axes.append(figures[1].add_subplot('111'))\n axes[1].plot(evolution_parameters)\n axes[1].legend(tuple(evolution_legend))\n axes[1].set_xlabel(\"Recording Number\")\n else:\n \n axes[0].clear()\n distance_legend = [\"Base N: \"+str(i) for i in range(len(self.basis[layer][sublayer]))] \n axes[0].plot(self.basis_distance[layer][sublayer])\n axes[0].legend(tuple(distance_legend))\n axes[0].set_xlabel(\"Recording Number\")\n \n axes[1].clear()\n evolution_parameters=np.array([self.noise_history[layer][sublayer], \n self.learning_history[layer][sublayer],\n self.sparsity_history[layer][sublayer],\n self.sensitivity_history[layer][sublayer]]).transpose()\n evolution_legend = (\"Noise\",\"Learning step\",\"Sparsity\",\"Sensitivity\")\n axes[1].plot(evolution_parameters)\n axes[1].legend(tuple(evolution_legend))\n axes[1].set_xlabel(\"Recording Number\")\n return figures, axes","def get_ax(rows=1, cols=1, size=8):\n fig , ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\n return fig,ax","def get_ax(rows=1, cols=1, size=8):\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\n return ax","def addFigure(self,fig,xl,yl,scale):\n img = py.image.load(fig)\n w,h = img.get_size()\n img = py.transform.scale(img,(int(w*scale),int(h*scale)))\n self.figures.append(img)\n self.locs.append((xl,yl))","def draw_canvas(plt, nrows = 2, ncols = 1, gridspec_kw = None, sharex = True, multiscales = False):\n if not gridspec_kw: # Use default [1,1,1,1]\n ratios = ncols*nrows*[1]\n gridspec_kw = {\n 'height_ratios' : ratios,\n 'hspace' : 0,\n 'left' : 0.0,\n 'right' : 2.0,\n 'bottom' : 0.0,\n 'top' : 1.0 }\n fig, axis = plt.subplots(nrows, ncols, sharex = sharex, gridspec_kw = gridspec_kw)\n if isinstance(axis, np.ndarray): \n axis = [ec.extend_all(i) for i in axis]\n else:\n axis = [ec.extend_all(axis)]\n if multiscales:\n tmp = []\n for axe in axis:\n tmp_axe = axe.twinx()\n tmp.append(ec.extend_all(tmp_axe))\n axis += tmp\n\n return fig, axis","def get_ax(rows=1, cols=1, size=8):\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\n return ax","def get_ax(rows=1, cols=1, size=8):\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\n return ax","def draw(subplots, title=''):\n if type(subplots) == SubPlot:\n subplots = [[subplots]]\n font_size = 16\n title_size = 20\n root = tk.Tk()\n root.title(title if title else 'Plot')\n root.geometry(\"1050x700\")\n fig = create_figure(root)\n\n num_rows = len(subplots)\n num_columns = max(len(graphs) for graphs in subplots)\n\n for i in range(num_rows):\n for j in range(num_columns):\n subplot = subplots[i][j]\n if subplot is None:\n continue\n index = (i*num_columns)+j+1\n ax = fig.add_subplot(num_rows, num_columns, index)\n ax.set_ylabel(subplot.y_label, fontsize=font_size)\n ax.set_xlabel(subplot.x_label, fontsize=font_size)\n ax.set_title(subplot.title, fontsize=font_size, fontweight='bold')\n ax.ticklabel_format(axis='y', style='sci')\n ax.ticklabel_format(useOffset=False)\n for graph in subplot.graphs:\n if type(graph) == Histogram:\n _draw_historgram(ax, graph)\n elif type(graph) == Graph:\n _draw_graph(ax, graph)\n '''\n spacing = 2\n if subplot.x_log:\n ax.set_xscale('log')\n x_lim = ax.get_xlim()\n ax.set_xlim(x_lim[0]/spacing, x_lim[1]*spacing)\n ax.grid(which='both')\n if subplot.y_log:\n ax.set_yscale('log')\n y_lim = ax.get_ylim()\n ax.set_ylim(y_lim[0]/spacing, y_lim[1]*spacing*3)\n ax.grid(which='both')\n '''\n with warnings.catch_warnings():\n warnings.simplefilter('ignore')\n ax.legend(loc='best')\n\n fig.suptitle(title, fontweight='bold', fontsize=title_size)\n fig.subplots_adjust(hspace=.6, wspace=.3)\n root.mainloop()","def show_axes(self):\n if hasattr(self, 'axes_widget'):\n self.axes_widget.EnabledOn()\n self.axes_widget.SetCurrentRenderer(self)\n else:\n self.add_axes()\n self.Modified()","def one_data_figure_sep(obs, fig, subplot_spec=None, **kwargs):\n if subplot_spec is None:\n gs = gridspec.GridSpec(2,1,height_ratios = [3,1], hspace=0)\n else:\n gs = gridspec.GridSpecFromSubplotSpec(2, 1, hspace=0,\n subplot_spec=subplot_spec,\n height_ratios = [3,1])\n \n \n spec = pl.Subplot(fig, gs[0,0])\n spec.plot(obs['wavelength'], obs['spectrum'], **kwargs)\n spec.set_ylabel(r'$f_\\lambda \\times \\, C$')\n pl.setp(spec.get_xticklabels(), visible = False)\n fig.add_subplot(spec)\n unc = pl.Subplot(fig, gs[1,0])\n unc.plot(obs['wavelength'], obs['unc'], **kwargs)\n unc.set_ylabel(r'$\\sigma f_\\lambda$')\n unc.set_xlabel(r'$\\lambda (\\AA)$')\n fig.add_subplot(unc)\n return fig, gs","def _update_axes(self):\n data_shape = self.data.shape\n if len(self.axes) < self.data.ndim + 1:\n self._axes.append(Axis())\n for index in range(self.data.ndim):\n if len(self.axes[index].values) != data_shape[index]:\n self.axes[index].values = np.arange(data_shape[index],\n dtype=np.float64)","def get_ax(rows=1, cols=1, size=16):\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\n return ax","def get_ax(rows=1, cols=1, size=16):\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\n return ax","def _add_cluster_subplot(grid, position, y_label, colspan=1):\n config = load_config(None, join(get_common(), 'config.cfg'))\n plot_width = config.getint('common', 'plot_width')\n subplot = plt.subplot2grid(grid, position, colspan=colspan)\n subplot.set_ylabel(y_label)\n subplot.set_xlabel('number of clusters')\n subplot.set_xlim([-3, plot_width + 3])\n subplot.set_ylim([-0.05, 1.05])\n return subplot","def get_ax(rows=1, cols=1, size=16):\n size = 5\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\n return ax","def get_ax(rows=1, cols=1, size=16):\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\n return ax","def get_ax(rows=1, cols=1, size=16):\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\n return ax","def __draw(self):\n plt.rcParams.update(self.settings.rcParams)\n\n self.fig = plt.figure()\n self.ax = self.fig.add_axes(self.axes_rect)\n\n xs = np.arange(1, self.xmax+1)\n ys = [np.arange(0, self.ymax) for i in range(self.xmax)]\n\n self.ax.plot(xs, ys)\n\n self.__draw_xaxis()\n self.__draw_yaxis()\n\n self.__draw_annotations()\n self.__draw_eras()\n self.__draw_era_spans()\n self.__draw_watermark()\n self.__draw_title()\n self.__draw_image()\n self.__draw_max_age()\n\n self.ax.set_aspect('equal', share=True)","def _share_setup(self):\n # Panel axes sharing, between main subplot and its panels\n def shared(paxs):\n return [\n pax for pax in paxs\n if not pax._panel_filled and pax._panel_share\n ]\n\n if not self._panel_side: # this is a main axes\n # Top and bottom\n bottom = self\n paxs = shared(self._bpanels)\n if paxs:\n bottom = paxs[-1]\n for iax in (self, *paxs[:-1]):\n # parent is *bottom-most* panel\n iax._sharex_setup(bottom, 3)\n paxs = shared(self._tpanels)\n for iax in paxs:\n iax._sharex_setup(bottom, 3)\n # Left and right\n left = self\n paxs = shared(self._lpanels)\n if paxs:\n left = paxs[0]\n for iax in (*paxs[1:], self):\n iax._sharey_setup(left, 3) # parent is *bottom-most* panel\n paxs = shared(self._rpanels)\n for iax in paxs:\n iax._sharey_setup(left, 3)\n\n # Main axes, sometimes overrides panel axes sharing\n # TODO: This can get very repetitive, but probably minimal impact?\n # Share x axes\n parent, *children = self._get_extent_axes('x')\n for child in children:\n child._sharex_setup(parent)\n # Share y axes\n parent, *children = self._get_extent_axes('y')\n for child in children:\n child._sharey_setup(parent)","def assemblePlot(self):\n self.clearPlot()\n self.axes = self.figure.add_subplot(111)\n\n # Reset handles\n self._fluxOverlayHandles = []\n self._magneticAxisHandle = None\n self._orbitHandles = []\n self._separatrixOverlayHandle = None\n self._wallCrossSectionOverlayHandle = None\n\n # Plot image\n self.plotEq()\n\n # Plot overlays\n self.plotOverlays()\n\n self.adjustAxes()","def get_ax(rows=1, cols=1, size=32):\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\n return ax","def show_figure_grid(fig: object, figx: int=10, figy: int=10) -> object:\n \n backGrid = fig.figure_handle.add_axes([0, 0, 1, 1], frameon=False)\n backGrid.set_ylim(0.0, figy)\n backGrid.set_xlim(0.0, figx)\n backGrid.grid(True)\n\n backGrid.set_yticks(np.arange(0.0, figy + 0.01, 1.0))\n backGrid.set_yticks(np.arange(0.0, figy + 0.01, 0.1), minor=True)\n backGrid.set_xticks(np.arange(0.0, figx + 0.01, 1.0))\n backGrid.set_xticks(np.arange(0.0, figx + 0.01, 0.1), minor=True)\n # backGrid.get_xaxis().set_minor_locator(matplotlib.ticker.AutoMinorLocator())\n # backGrid.get_yaxis().set_minor_locator(matplotlib.ticker.AutoMinorLocator())\n backGrid.grid(visible=True, which=\"major\", color=\"g\", alpha=0.5, linewidth=0.8)\n backGrid.grid(visible=True, which=\"minor\", color=\"g\", alpha=0.3, linewidth=0.2)\n return backGrid","def figures(self):\n if np.size(self.iceicehorizons_depth1)>0:\n fig, ax = mpl.subplots()\n if self.site1.archive == 'icecore':\n mpl.xlabel(self.site1.label+' ice age (yr b1950)')\n else:\n mpl.xlabel(self.site1.label+' age (yr b1950)')\n if self.site2.archive == 'icecore':\n mpl.ylabel(self.site2.label+' ice age (yr b1950)')\n else:\n mpl.ylabel(self.site2.label+' age (yr b1950)')\n if np.size(self.iceicehorizons_depth1) > 0:\n if pccfg.show_initial:\n mpl.plot(self.site1.fct_age_init(self.iceicehorizons_depth1),\n self.site2.fct_age_init(self.iceicehorizons_depth2),\n color=pccfg.color_init, linestyle='', marker='o', markersize=2,\n label=\"Initial\")\n mpl.plot(self.site1.fct_age_model(self.iceicehorizons_depth1),\n self.site2.fct_age_model(self.iceicehorizons_depth2),\n color=pccfg.color_mod, linestyle='', marker='o', markersize=2,\n label=\"Prior\")\n mpl.errorbar(self.site1.fct_age(self.iceicehorizons_depth1),\n self.site2.fct_age(self.iceicehorizons_depth2), color=pccfg.color_opt,\n xerr=np.zeros(np.size(self.iceicehorizons_depth1)),\n linestyle='', marker='o', markersize=2,\n label=\"Posterior\")\n xstart = self.site1.fct_age(self.iceicehorizons_depth1)-self.iceicehorizons_sigma/2\n ystart = self.site2.fct_age(self.iceicehorizons_depth2)+self.iceicehorizons_sigma/2\n for i in range(np.size(self.iceicehorizons_depth1)):\n mpl.arrow(xstart[i], ystart[i], self.iceicehorizons_sigma[i],\n -self.iceicehorizons_sigma[i], color=pccfg.color_opt,\n width=0.0, head_length=0.0, head_width=0.0)\n x_low, x_up, y_low, y_up = mpl.axis()\n# x_low = self.site1.age_top\n# y_low = self.site2.age_top\n# mpl.axis((x_low, x_up, y_low, y_up))\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement', zorder=0)\n mpl.legend(loc=\"best\")\n ax.set_aspect('equal')\n if self.site1.archive == 'icecore' and self.site2.archive == 'icecore':\n printed_page = PdfPages(pccfg.datadir+self.label+'/ice_ice_synchro.pdf')\n elif self.site1.archive == 'icecore' or self.site2.archive == 'icecore':\n printed_page = PdfPages(pccfg.datadir+self.label+'/ice_synchro.pdf')\n else:\n printed_page = PdfPages(pccfg.datadir+self.label+'/synchro.pdf')\n printed_page.savefig(fig)\n printed_page.close()\n if not pccfg.show_figures:\n mpl.close()\n\n if self.site1.archive == 'icecore' and self.site2.archive == 'icecore':\n if np.size(self.airairhorizons_depth1)>0:\n fig, ax = mpl.subplots()\n mpl.xlabel(self.site1.label+' air age (yr b1950)')\n mpl.ylabel(self.site2.label+' air age (yr b1950)')\n if np.size(self.airairhorizons_depth1) > 0:\n if pccfg.show_initial:\n mpl.plot(self.site1.fct_airage_init(self.airairhorizons_depth1),\n self.site2.fct_airage_init(self.airairhorizons_depth2),\n color=pccfg.color_init,\n linestyle='',\n marker='o', markersize=2, label=\"Initial\")\n mpl.plot(self.site1.fct_airage_model(self.airairhorizons_depth1),\n self.site2.fct_airage_model(self.airairhorizons_depth2),\n color=pccfg.color_mod,\n linestyle='', marker='o', markersize=2,\n label=\"Prior\")\n mpl.errorbar(self.site1.fct_airage(self.airairhorizons_depth1),\n self.site2.fct_airage(self.airairhorizons_depth2),\n color=pccfg.color_opt,\n xerr=np.zeros_like(self.airairhorizons_sigma),\n linestyle='', marker='o', markersize=2,\n label=\"Posterior\")\n xstart = self.site1.fct_airage(self.airairhorizons_depth1)-\\\n self.airairhorizons_sigma/2\n ystart = self.site2.fct_airage(self.airairhorizons_depth2)+\\\n self.airairhorizons_sigma/2\n for i in range(np.size(self.airairhorizons_depth1)):\n mpl.arrow(xstart[i], ystart[i], self.airairhorizons_sigma[i],\n -self.airairhorizons_sigma[i], color=pccfg.color_opt,\n width=0.0, head_length=0.0, head_width=0.0)\n x_low, x_up, y_low, y_up = mpl.axis()\n# x_low = self.site1.age_top\n# y_low = self.site2.age_top\n# mpl.axis((x_low, x_up, y_low, y_up))\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement',\n zorder=0)\n mpl.legend(loc=\"best\")\n ax.set_aspect('equal')\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_air_synchro.pdf')\n printed_page.savefig(fig)\n printed_page.close()\n if not pccfg.show_figures:\n mpl.close()\n\n if self.site2.archive == 'icecore':\n if np.size(self.iceairhorizons_depth1)>0:\n fig, ax = mpl.subplots()\n if self.site1.archive == 'icecore':\n mpl.xlabel(self.site1.label+' ice age (yr b1950)')\n else:\n mpl.xlabel(self.site1.label+' age (yr b1950)')\n mpl.ylabel(self.site2.label+' air age (yr b1950)')\n if np.size(self.iceairhorizons_depth1) > 0:\n if pccfg.show_initial:\n mpl.plot(self.site1.fct_age_init(self.iceairhorizons_depth1),\n self.site2.fct_airage_init(self.iceairhorizons_depth2),\n color=pccfg.color_init,\n linestyle='',\n marker='o', markersize=2, label=\"Initial\")\n mpl.plot(self.site1.fct_age_model(self.iceairhorizons_depth1),\n self.site2.fct_airage_model(self.iceairhorizons_depth2),\n color=pccfg.color_mod,\n linestyle='', marker='o', markersize=2,\n label=\"Prior\")\n mpl.errorbar(self.site1.fct_age(self.iceairhorizons_depth1),\n self.site2.fct_airage(self.iceairhorizons_depth2),\n color=pccfg.color_opt,\n xerr=np.zeros_like(self.iceairhorizons_sigma),\n linestyle='', marker='o', markersize=2,\n label=\"Posterior\")\n xstart = self.site1.fct_age(self.iceairhorizons_depth1)-\\\n self.iceairhorizons_sigma/2\n ystart = self.site2.fct_airage(self.iceairhorizons_depth2)+\\\n self.iceairhorizons_sigma/2\n for i in range(np.size(self.iceairhorizons_depth1)):\n mpl.arrow(xstart[i], ystart[i], self.iceairhorizons_sigma[i],\n -self.iceairhorizons_sigma[i], color=pccfg.color_opt,\n width=0.0, head_length=0.0, head_width=0.0) \n x_low, x_up, y_low, y_up = mpl.axis()\n# x_low = self.site1.age_top\n# y_low = self.site2.age_top\n# mpl.axis((x_low, x_up, y_low, y_up))\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement',\n zorder=0)\n mpl.legend(loc=\"best\")\n ax.set_aspect('equal')\n if self.site1.archive == 'icecore':\n printed_page = PdfPages(pccfg.datadir+self.label+'/ice_air_synchro.pdf')\n else:\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_synchro.pdf')\n printed_page.savefig(fig)\n printed_page.close()\n if not pccfg.show_figures:\n mpl.close()\n\n if self.site1.archive == 'icecore':\n if np.size(self.airicehorizons_depth1)>0:\n fig, ax = mpl.subplots()\n mpl.xlabel(self.site1.label+' air age (yr b1950)')\n if self.site2.archive == 'icecore':\n mpl.ylabel(self.site2.label+' ice age (yr b1950)')\n else:\n mpl.ylabel(self.site2.label+' age (yr b1950)')\n if np.size(self.airicehorizons_depth1) > 0:\n if pccfg.show_initial:\n mpl.plot(self.site1.fct_airage_init(self.airicehorizons_depth1),\n self.site2.fct_age_init(self.airicehorizons_depth2),\n color=pccfg.color_init,\n linestyle='', marker='o', markersize=2, label=\"Initial\")\n mpl.plot(self.site1.fct_airage_model(self.airicehorizons_depth1),\n self.site2.fct_age_model(self.airicehorizons_depth2),\n color=pccfg.color_mod,\n linestyle='', marker='o', markersize=2,\n label=\"Prior\")\n mpl.errorbar(self.site1.fct_airage(self.airicehorizons_depth1),\n self.site2.fct_age(self.airicehorizons_depth2),\n color=pccfg.color_opt,\n xerr=np.zeros_like(self.airicehorizons_sigma),\n linestyle='', marker='o', markersize=2,\n label=\"Posterior\")\n xstart = self.site1.fct_airage(self.airicehorizons_depth1)-\\\n self.airicehorizons_sigma/2\n ystart = self.site2.fct_age(self.airicehorizons_depth2)+\\\n self.airicehorizons_sigma/2\n for i in range(np.size(self.airicehorizons_depth1)):\n mpl.arrow(xstart[i], ystart[i], self.airicehorizons_sigma[i],\n -self.airicehorizons_sigma[i], color=pccfg.color_opt,\n width=0.0, head_length=0.0, head_width=0.0)\n x_low, x_up, y_low, y_up = mpl.axis()\n# x_low = self.site1.age_top\n# y_low = self.site2.age_top\n# mpl.axis((x_low, x_up, y_low, y_up))\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement')\n mpl.legend(loc=\"best\")\n ax.set_aspect('equal')\n if self.site2.archive == 'icecore':\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_ice_synchro.pdf')\n else:\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_synchro.pdf')\n printed_page.savefig(fig)\n printed_page.close()\n if not pccfg.show_figures:\n mpl.close()","def create_fig_ax(ax, **kwargs):\n if ax is None:\n fig, ax = plt.subplots(**kwargs)\n else:\n fig = ax.get_figure()\n return fig, ax","def make_frame(nbinx, nbiny, title='',d_beg='',d_end='',ylow='',yup='',maxticks='',dates = False):\n\n aax = (1,) * nbinx\n ax = (aax,) * nbiny\n\n f, (ax) = plt.subplots(nbinx,nbiny, sharex=True, sharey=True)\n f.suptitle(title)\n \n f.subplots_adjust(hspace=0.05)\n f.subplots_adjust(wspace=0.05)\n f.subplots_adjust(top=0.95)\n f.subplots_adjust(right=0.95)\n f.subplots_adjust(left=0.05) \n if dates:\n f.autofmt_xdate(bottom=0.1, rotation=90, ha='right') \n\n # --- customize x and y range and number of ticks\n\n if nbinx==1 and nbiny==1:\n ax = [[ax]] # cast ax into an array to make the operations consistent\n if d_beg != '' and d_end != '':\n for axx in ax:\n\n dlim = [d_beg,d_end]\n for axxx in axx:\n axxx.set_autoscalex_on(False)\n axxx.set_xlim(dlim)\n\n if ylow != '' and yup != '':\n print(' setting up y scale ',ylow,yup, title)\n for axx in ax:\n\n ylim = [ylow,yup]\n for axxx in axx:\n axxx.set_ylim(ylim) \n\n if maxticks != '':\n for axx in ax:\n for axxx in axx: \n axxx.xaxis.set_major_locator(plt.MaxNLocator(maxticks))\n \n #for a single frame ax is a scalar. put it back.. \n if nbinx==1 and nbiny==1:\n ax = ax[0][0] \n return f,(ax)","def alty(self, **kwargs):\n if self._alty_child or self._alty_parent:\n raise RuntimeError('No more than *two* twin axes are allowed.')\n with self.figure._authorize_add_subplot():\n ax = self._make_twin_axes(sharex=self, projection='xy')\n ax.set_autoscalex_on(self.get_autoscalex_on())\n ax.grid(False)\n self._alty_child = ax\n ax._alty_parent = self\n self._alty_overrides()\n ax._alty_overrides()\n self.add_child_axes(ax) # to facilitate tight layout\n self.figure._axstack.remove(ax) # or gets drawn twice!\n ax.format(**_parse_alt('y', kwargs))\n return ax","def _newax(ax=None):\n from matplotlib import pyplot as plt\n if ax is not None:\n return ax\n fig = plt.figure()\n ax = fig.add_subplot(1, 1, 1)\n return ax","def plots(corpus_parts, corpus):\n \"\"\"\n given the data obtained by the function percentage_hapaxes(dv_corpus, tokenized_corpus),\n the graphic for the percentage of hapaxes per partition is plotted\n \"\"\"\n h_parts = hapaxes_parts(corpus_parts)\n part_size = [x for x in range(len(h_parts))]\n \n percent_h = percentage_hapaxes(corpus_parts, corpus)\n percent_length = [i for i in range(len(percent_h))] \n \n fig, (ax1, ax2) = plt.subplots(1, 2)\n plt.setp(ax1, xticks=np.arange(0, len(part_size), 1))\n plt.setp(ax2, xticks=np.arange(0, len(percent_length), 1))\n fig.suptitle('Number (left) and percentage (right) of hapaxes in each part')\n ax1.bar(part_size, h_parts)\n ax2.bar(percent_length, percent_h) \n return plt.show()","def plot(self) -> List[matplotlib.figure.Figure]:\n figs = []\n\n title_prefix = self.trial_name + ' ' + self.segment_name + ' '\n # Figure 1, position in 3 subplots\n pos_fig_sub = self.plot_subplots(self.fig_num_start, title_prefix + 'Position (mm)', self.pos_raw,\n self.pos_smooth, self.pos_legend)\n figs.append(pos_fig_sub)\n\n # Figure 2, orientation in 3 subplots\n eul_fig_sub = self.plot_subplots(self.fig_num_start + 1, title_prefix + 'Euler Angles (deg)', self.eul_raw,\n self.eul_smooth, self.euler_legend)\n figs.append(eul_fig_sub)\n\n # Figure 3, velocity in 3 subplots\n vel_fig_sub = self.plot_subplots_vel(self.fig_num_start + 2, title_prefix + 'Velocity', 'Velocity (mm/s)',\n self.vel)\n figs.append(vel_fig_sub)\n\n # Figure 4, angular velocity in 3 subplots\n ang_vel_fig_sub = self.plot_subplots_vel(self.fig_num_start + 3, title_prefix + 'Angular Velocity',\n 'Angular Velocity (deg/s)', self.ang_vel)\n figs.append(ang_vel_fig_sub)\n\n # Figure 5, position in one axes\n pos_fig_one = self.plot_one_axes(self.fig_num_start + 4, title_prefix + 'Position', 'Position (mm)',\n self.pos_raw, self.pos_smooth, self.pos_legend)\n figs.append(pos_fig_one)\n\n # Figure 6, orientation in one axes\n eul_fig_one = self.plot_one_axes(self.fig_num_start + 5, title_prefix + 'Euler Angles', 'Angle (deg)',\n self.eul_raw, self.eul_smooth, self.euler_legend)\n figs.append(eul_fig_one)\n\n # Figure 7, velocity in one axes\n vel_fig_one = self.plot_one_axes_vel(self.fig_num_start + 6, title_prefix + 'Velocity', 'Velocity (mm/s)',\n self.vel, self.pos_legend)\n figs.append(vel_fig_one)\n\n # Figure 8, angular velocity in one axes\n ang_vel_fig_one = self.plot_one_axes_vel(self.fig_num_start + 7, title_prefix + 'Angular Velocity',\n 'Angular Velocity (deg/s)', self.ang_vel, self.pos_legend)\n figs.append(ang_vel_fig_one)\n\n return figs","def figure7():\n\n plot_settings = {'y_limits': [-100, 30],\n 'x_limits': None,\n 'y_ticks': [-80, -60, -40, -20, 0, 20],\n 'locator_size': 10,\n 'y_label': 'Voltage (mV)',\n 'x_ticks': [],\n 'scale_size': 50,\n 'x_label': \"\",\n 'scale_loc': 3,\n 'figure_name': 'figure_7',\n 'legend': None,\n 'legend_size': 8,\n 'y_on': True}\n\n marker = ['o', 's', '^']\n line_styles = ['-', 'dotted', '--']\n\n plt.figure(figsize=(5, 3), dpi=96)\n\n plt.subplot(2, 1, 1) # Generate subplot 1 (top)\n t, y = solver(250, i_bias_on=2, duration=260)\n plt.plot(t, y[:, 0], 'k-')\n alter_figure(plot_settings)\n\n plt.subplot(2, 1, 2) # Generate subplot 2 (bottom)\n for ix, i_bias_on in enumerate([2, 1.5, 1]):\n t, y = solver(250, i_bias_on=i_bias_on, duration=260)\n t_spike, f = spike_times(t, y[:, 0])\n plt.plot(t_spike[0:-1], f, c='k', linestyle=line_styles[ix], marker=marker[ix], fillstyle='none')\n\n plot_settings['y_limits'] = [20, 40]\n plot_settings['y_ticks'] = [20, 25, 30, 35, 40]\n plot_settings['locator_size'] = 2.5\n plot_settings['y_label'] = 'Frequency (Hz)'\n plot_settings['legend'] = ['2.0 nA', '1.5 nA', '1.0 nA']\n plot_settings['scale_size'] = 0\n plot_settings['legend_location'] = 4\n alter_figure(plot_settings, close=True)","def createFigure(self):\n\n SMALL_SIZE = 14\n MEDIUM_SIZE = 18\n BIGGER_SIZE = 36\n\n plt.rc('font', size=SMALL_SIZE) # controls default text sizes\n plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title\n plt.rc('axes', labelsize=MEDIUM_SIZE) # fontsize of the x and y labels\n plt.rc('xtick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels\n plt.rc('ytick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels\n plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize\n plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title\n\n fig, axes = plt.subplots()\n fig.set_size_inches(10, 6, forward=True)\n serialNumber = self.spectrometer.getSerialNumber()\n model = self.spectrometer.model\n fig.canvas.manager.set_window_title('Spectrometer [serial # {0}, model {1}]'.format(serialNumber, model))\n axes.set_xlabel(\"Wavelength [nm]\")\n axes.set_ylabel(\"Intensity [arb.u]\")\n return fig, axes","def subplot(\r\n self,\r\n data: bool = False,\r\n noise_map: bool = False,\r\n signal_to_noise_map: bool = False,\r\n model_data: bool = False,\r\n residual_map: bool = False,\r\n normalized_residual_map: bool = False,\r\n chi_squared_map: bool = False,\r\n auto_filename: str = \"subplot_fit\",\r\n ):\r\n self._subplot_custom_plot(\r\n data=data,\r\n noise_map=noise_map,\r\n signal_to_noise_map=signal_to_noise_map,\r\n model_image=model_data,\r\n residual_map=residual_map,\r\n normalized_residual_map=normalized_residual_map,\r\n chi_squared_map=chi_squared_map,\r\n auto_labels=AutoLabels(filename=auto_filename),\r\n )","def change_axes_geometry_stack(fig, ax, naxes):\n for ii in range(len(ax)):\n geometry = (naxes, 1, ii + 1)\n if ax[ii].get_geometry() != geometry:\n ax[ii].change_geometry(*geometry)\n\n for ii in np.arange(len(ax), naxes):\n print('adding axis ', ii)\n fig.add_subplot(naxes, 1, ii + 1)\n\n ax = fig.axes\n return fig, ax","def makeQuadSubplots(df_rad_obs, \n df_dir_obs, \n df_rad_sen, \n df_dir_sen, \n suptitle='Big title',\n eps=3, \n min_samples=50):\n fig, axs = plt.subplots(2, 2, \n figsize=(10,10)\n )\n\n fig.suptitle('Clustering Output', fontsize=20)\n\n populateSubPlot(df=df_rad_obs,\n eps=eps, \n min_samples=min_samples,\n fig=fig, \n axs=axs, \n row=0, \n col=0, title='Obsever Wards Radiant')\n\n\n populateSubPlot(df=df_dir_obs, \n eps=eps, \n min_samples=min_samples,\n fig=fig, \n axs=axs, \n row=0, \n col=1, title='Obsever Wards Dire')\n\n\n populateSubPlot(df=df_rad_sen, \n eps=eps, \n min_samples=min_samples,\n fig=fig, \n axs=axs, \n row=1, \n col=0, title='Sentry Wards Radiant')\n\n populateSubPlot(df=df_dir_sen, \n eps=eps, \n min_samples=min_samples,\n fig=fig, \n axs=axs, \n row=1, \n col=1, title='Sentry Wards Dire')\n \n \n return fig, axs","def plot_subplots(x_list, y_list, z_list):\n # create a line chart with the average rating of the top movies per year\n # min rating = 0 and max = 10\n plot1 = plt.subplot(211)\n plt.plot(x_list, y_list, color = 'lightseagreen')\n plt.axis([START_YEAR, END_YEAR - 1, 0, 10])\n plt.title('Average IMDB Movie Rating per Year', fontsize=12)\n plt.ylabel('Average Rating')\n plt.grid(True)\n\n # make x ticklabels of plot1 invisible\n plt.setp(plot1.get_xticklabels(), visible=False)\n\n # adjust space between subplots\n plt.subplots_adjust(hspace=0.3)\n\n # create a line chart with the average runtime with shared x-axis\n plot2 = plt.subplot(212, sharex=plot1)\n plt.plot(x_list, z_list, color = 'lightseagreen')\n plt.title('Average IMDB Movie Runtime per Year', fontsize=12)\n plt.ylabel('Average Runtime (min)')\n plt.grid(True)\n\n # define axes, with all years (2008 till 2017) on the x-axis\n # min runtime = 0, max runtime = 180\n plt.axis([START_YEAR, END_YEAR - 1, 0, 180])\n plt.xticks(x_list)\n plt.xlabel('Year')\n\n # plot both the subplots\n plt.show()","def _add_new_ax(self, name=None):\n if name in self.ax_names:\n return self.get_ax_by_name(name)\n\n self.ncols += 1\n for i, (ax, ax_name) in enumerate(zip(self.fig.axes, self.ax_names)):\n #print(f'Changing ax {ax_name} geom to: {(1,self.ncols,i+1)}')\n ax.change_geometry(1, self.ncols, i+1)\n\n new_ax = self.fig.add_subplot(1, self.ncols, self.ncols)\n self.ax.append(new_ax)\n self.ax_names.append(name)\n\n return new_ax","def plot2axes(self, axes: plt.Axes, width: float | int = 1) -> None:\n for idx, line in enumerate(self.marker_lines):\n line.plot2axes(axes, width, color=self.bg_color[idx])","def add_rotated_axis(f, extents=(-1, 1, 0, 1), sc_x=None, sc_y=None,\n rotation=45, position=(.5, .5, .1, .1),\n invisible_border=True):\n af = Affine2D()\n transform = af.scale(sc_x, sc_y).rotate_deg(rotation)\n helper = floating_axes.GridHelperCurveLinear(transform, extents)\n ax = floating_axes.FloatingSubplot(f, 111, grid_helper=helper)\n ax_aux = ax.get_aux_axes(transform)\n f.add_subplot(ax)\n ax.set_position(position)\n ax.invert_xaxis()\n\n if invisible_border is True:\n # Strip axis elements\n ax.patch.set(visible=False)\n for axis in ax.axis.values():\n axis.set_visible(False)\n\n return ax, ax_aux"],"string":"[\n \"def add_subplot_axes(self, ax, rect, axis_bgcolor=None):\\r\\n # Modified from\\r\\n # https://stackoverflow.com/questions/17458580/\\r\\n box = ax.get_position()\\r\\n width, height = box.width, box.height\\r\\n subaxes_box = [(rect[0], rect[1]),\\r\\n (rect[0] + rect[2], rect[1] + rect[3])]\\r\\n subaxes_display_coords = ax.transData.transform(subaxes_box)\\r\\n trans_figure = self.figure.transFigure.inverted()\\r\\n subaxes_figure_coords = trans_figure.transform(subaxes_display_coords)\\r\\n x, y = subaxes_figure_coords[0, :]\\r\\n width, height = (subaxes_figure_coords[1, :] -\\r\\n subaxes_figure_coords[0, :])\\r\\n subaxes = self.figure.add_axes(\\r\\n [x, y, width, height], axis_bgcolor=axis_bgcolor)\\r\\n x_labelsize = subaxes.get_xticklabels()[0].get_size()\\r\\n y_labelsize = subaxes.get_yticklabels()[0].get_size()\\r\\n x_labelsize *= rect[2] ** 0.5\\r\\n y_labelsize *= rect[3] ** 0.5\\r\\n subaxes.xaxis.set_tick_params(labelsize=x_labelsize)\\r\\n subaxes.yaxis.set_tick_params(labelsize=y_labelsize)\\r\\n return subaxes\",\n \"def _InitAxes( self ):\\n self.ax = self.fig.add_subplot( 111 )\",\n \"def axes_subplots():\\n # gerenate data\\n x = np.arange(0, 6 * np.pi+0.2, 0.2)\\n y_1 = np.cos(x)\\n y_2 = np.sin(2*x)\\n y_3 = y_1 + y_2\\n\\n # display multiple\\n fig, axs = plt.subplots(3, 1, sharex=True)\\n fig.suptitle('Subplots w/ shared axes')\\n axs[0].plot(x, y_1)\\n axs[1].plot(x, y_2)\\n axs[2].plot(x, y_3)\\n axs[0].set_ylabel('$y$')\\n axs[1].set_ylabel('$y$')\\n axs[2].set_ylabel('$y$')\\n\\n plt.show()\\n\\n return None\",\n \"def setup_axes():\\n\\taxes = visuals.subplots(1, 2, figsize = (14, 7))\\n\\taxes[1].set_yscale(\\\"log\\\")\\n\\taxes[0].set_xlabel(\\\"[Fe/H]\\\")\\n\\taxes[0].set_ylabel(\\\"[Sr/Fe]\\\")\\n\\taxes[1].set_xlabel(\\\"[Sr/Fe]\\\")\\n\\taxes[1].set_ylabel(\\\"Stellar Probability Density\\\")\\n\\taxes[0].set_xlim([-2.2, 0.2])\\n\\taxes[0].set_ylim([-2.4, 0.4])\\n\\taxes[1].set_xlim([-1.4, 0.4])\\n\\taxes[1].set_ylim([0.05, 50])\\n\\treturn axes\",\n \"def add_subplot(gridRows, gridCols, plotNo):\\n pl.subplot(gridRows, gridCols, plotNo)\",\n \"def panel_axes(self, side, **kwargs):\\n return self.figure._add_axes_panel(self, side, **kwargs)\",\n \"def add_axes(self, ax):\\n self._canvas.cd()\\n self._axes = ax\\n self._canvas.Modified()\",\n \"def setup_axes(self):\\n fig = plt.figure(1)\\n axs = fig.add_subplot(1, 1, 1)\\n fig.clf()\\n axs = plt.subplots(1, 2)\\n ax1 : plt.axis = axs[0]\\n ax2 : plt.axis = axs[1]\\n fig.canvas.draw()\\n \\n line1_t, = ax1.plot([], label='train')\\n line1_v, = ax1.plot([], label='val')\\n\\n ax1.set_title('Loss vs Iterations')\\n ax1.set_xlabel('Iterations')\\n ax1.set_ylabel('Loss')\\n ax1.grid(True)\\n ax1.autoscale()\\n # ax1.legend()\\n\\n line2_t, = ax2.plot([], label='train')\\n line2_v, = ax2.plot([], label='val')\\n\\n ax2.set_title('Accuracy vs Iterations')\\n ax2.set_xlabel('Time')\\n ax2.set_ylabel('Percent Accuracy')\\n ax2.grid(True)\\n ax2.autoscale()\\n # ax2.legend()\\n\\n lines = [line1_t, line1_v, line2_t, line2_v]\\n\\n return fig, ax1, ax2, lines\",\n \"def plot_main(self):\\n\\n f, axes = plt.subplots(2, 3, figsize=(16, 8))\\n self.data_plot(ax=axes[0, 0])\\n self.model_plot(ax=axes[0, 1])\\n self.normalized_residual_plot(ax=axes[0, 2], v_min=-6, v_max=6)\\n self.source_plot(ax=axes[1, 0], convolution=False, deltaPix_source=0.01, numPix=100)\\n self.convergence_plot(ax=axes[1, 1], v_max=1)\\n self.magnification_plot(ax=axes[1, 2])\\n f.tight_layout()\\n f.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0., hspace=0.05)\\n return f, axes\",\n \"def init_axes(self):\\n plt.switch_backend(\\\"cairo\\\")\\n fig = plt.figure(figsize=(15,10))\\n ax = fig.add_axes([0.05, 0.15, 0.9, 0.80,])\\n return (fig, ax)\",\n \"def setup_mpl_visuals(self, axes=None) -> None:\\n if axes is None:\\n axes = self.subplot\\n axes.patch.set_facecolor('white')\\n axes.set_aspect('equal', 'box')\\n axes.set_xlim(-10, 10, auto=True)\\n axes.set_ylim(-10, 10, auto=True)\\n # TODO: Make XYLim confort to window size/dimensions\\n axes.set_xticks([])\\n axes.set_yticks([])\\n self.figure.subplots_adjust(bottom=0, top=1, left=0, right=1)\\n axes.axis('off')\",\n \"def subplots(fig_width=None, fig_height=None, *args, **kwargs):\\n fig_width, fig_height = get_width_height(fig_width, fig_height, columns=2)\\n fig, axes = plt.subplots(figsize=(fig_width, fig_height), *args, **kwargs)\\n return fig, axes\",\n \"def set_axes(axes, xlabel, ylabel, xlim, ylim, xscale, yscale, legend):\\n axes.set_xlabel(xlabel)\\n axes.set_ylabel(ylabel)\\n axes.set_xscale(xscale)\\n axes.set_yscale(yscale)\\n axes.set_xlim(xlim)\\n axes.set_ylim(ylim)\\n if legend:\\n axes.legend(legend)\\n axes.grid()\",\n \"def set_axes(axes, xlabel, ylabel, xlim, ylim, xscale, yscale, legend):\\n axes.set_xlabel(xlabel)\\n axes.set_ylabel(ylabel)\\n axes.set_xscale(xscale)\\n axes.set_yscale(yscale)\\n axes.set_xlim(xlim)\\n axes.set_ylim(ylim)\\n if legend:\\n axes.legend(legend)\\n axes.grid()\",\n \"def set_axes(axes, xlabel, ylabel, xlim, ylim, xscale, yscale, legend):\\n axes.set_xlabel(xlabel)\\n axes.set_ylabel(ylabel)\\n axes.set_xscale(xscale)\\n axes.set_yscale(yscale)\\n axes.set_xlim(xlim)\\n axes.set_ylim(ylim)\\n if legend:\\n axes.legend(legend)\\n axes.grid()\",\n \"def _setup_figure(self):\\n\\n plt.figure(1)\\n plt.clf()\\n\\n # Two main axes\\n self._tsne_window = plt.axes([0.05, 0.05, 0.4, 0.4])\\n self._main_window = plt.axes([0.05, 0.55, 0.4, 0.4])\\n\\n # Nine sub axes\\n self._sub_windows = []\\n for row in range(3):\\n for col in range(3):\\n tt = plt.axes([0.5+0.17*col, 0.75-0.25*row, 0.15, 0.15])\\n tt.set_xticks([])\\n tt.set_yticks([])\\n self._sub_windows.append(tt)\\n\\n # Register the button click\\n self._cid = plt.figure(1).canvas.mpl_connect('button_press_event', self._onclick)\\n\\n # Text\\n plt.figure(1).text(0.6, 0.2, 'Click with 2nd or 3rd mouse button to select image...')\\n plt.figure(1).text(0.05, 0.5, 'Click in main image or tSNE plot to find similar cutouts...')\\n plt.figure(1).text(0.6, 0.05, 'The tSNE data reduction calculated from data run through {}'.format(self._model_name), fontsize=8)\\n\\n # Show\\n plt.figure(1).show()\\n plt.figure(1).canvas.draw()\",\n \"def add_figure(self,sig,index,title='',xlabel='',ylabel=''):\\n self.last_index = index\\n ax = self.fig.add_subplot(self.position+index)\\n ax.set_title(title)\\n ax.set_xlabel(xlabel)\\n ax.set_ylabel(ylabel)\\n ax.plot(sig)\",\n \"def __init__(self):\\n self.fig = pl.figure(1,figsize=(8,6), dpi=80 , frameon = True , facecolor = '0.75' , edgecolor = 'w')\\n self.fig.add_subplot(111 , axisbg = 'w' , projection = 'rectilinear') #if you want to add axes on particular place: fig.add_axes([0.15, 0.1, 0.7, 0.3]) where -> [begin , bottom to start axes , width , height ]\\n self.separated = True #if we have a list and need to plot the plots separated\",\n \"def plot(self):\\n fig, axes = plt.subplots(math.ceil(len(self.plots) / self.col_wrap), self.col_wrap)\\n\\n for ps, ax in zip(self.plots, axes.flatten()):\\n for p in ps:\\n if p.x is not None and p.y is not None:\\n p.method(x=p.x, y=p.y, *p.args, ax=ax, **p.kwargs)\\n else:\\n p.method(*p.args, ax=ax, **p.kwargs)\\n\\n return fig, axes\",\n \"def populate_plot_axis(self,plot,ax='x'):\\n\\n fig=plt.gcf()\\n\\n extra_ax=[]\\n\\n if ax=='x':\\n\\n ticks=plot.get_xticks()\\n\\n lim=plot.get_xlim()\\n\\n for i in range(len(self.names)):\\n\\n if i==0:\\n\\n axn=plot\\n\\n axn.spines['bottom'].set_position(('outward',10))\\n\\n axn.spines['bottom'].set_visible(True)\\n\\n else:\\n\\n dy_fig=0.08\\n\\n prev_ax_position=axn.get_position()\\n\\n extra_ax.append(fig.add_axes(\\\\\\n (prev_ax_position.x0,\\\\\\n prev_ax_position.y0-2*dy_fig,\\\\\\n prev_ax_position.width,\\\\\\n 0),'autoscalex_on',True))\\n\\n axn=extra_ax[i-1]\\n\\n axn.yaxis.set_visible(False)\\n\\n for side in axn.spines.keys():\\n\\n axn.spines[side].set_linewidth(1)\\n\\n axn.set_xticks(ticks)\\n\\n ticksnames=[float(str(x)) for x in self.values[i]]\\n\\n axn.set_xticklabels(\\\\\\n [\\\"{:.2f}\\\".format(x).rstrip('0').rstrip('.') for x in ticksnames],\\\\\\n rotation = 45)\\n\\n xlab=axn.set_xlabel(self.names[i])\\n\\n xlab.set_fontsize(10)\\n\\n axn.tick_params(axis='x',labelsize=10)\\n\\n axn.set_xlim(lim)\\n\\n\\n\\n elif ax=='y':\\n\\n ticks=plot.get_yticks()\\n\\n lim=plot.get_ylim()\\n\\n for i in range(len(self.names)):\\n\\n if i==0:\\n\\n axn=plot\\n\\n axn.spines['left'].set_position(('outward',10))\\n\\n axn.spines['left'].set_visible(True)\\n\\n else:\\n\\n dx_fig=0.08\\n\\n plot_position=plot.get_position()\\n\\n prev_ax_position=axn.get_position()\\n\\n extra_ax.append(fig.add_axes(\\\\\\n (prev_ax_position.x0-2*dx_fig,\\\\\\n prev_ax_position.y0,\\\\\\n 0,\\\\\\n prev_ax_position.height),'autoscalex_on',True))\\n\\n axn=extra_ax[i-1]\\n\\n axn.xaxis.set_visible(False) # hide the yaxis\\n\\n for side in axn.spines.keys(): # 'top', 'bottom', 'left', 'right'\\n\\n axn.spines[side].set_linewidth(1)\\n\\n axn.set_yticks(ticks)\\n\\n ticksnames=[float(str(x)) for x in self.values[i]]\\n\\n axn.set_yticklabels(\\\\\\n [\\\"{:.2f}\\\".format(x).rstrip('0').rstrip('.') for x in ticksnames],\\\\\\n rotation = 45)\\n\\n ylab=axn.set_ylabel(self.names[i])\\n\\n ylab.set_fontsize(10)\\n\\n axn.tick_params(axis='y',labelsize=10)\\n\\n axn.set_ylim(lim)\\n\\n else:\\n\\n raise ValueError(\\\"Axis can be 'x' or 'y'\\\")\",\n \"def addAxes(self):\\n numDims = len(self.relation.fieldNames) - 1\\n angle = 360 / numDims\\n axisDomains = self.relation.axisDomains\\n for i in range(numDims):\\n axis = PlotAxis(self)\\n self.scene().addItem(axis)\\n if self.axisAngles and i < len(self.axisAngles):\\n axis.setRotation(self.axisAngles[i])\\n else:\\n axis.setRotation(angle * i)\\n self.axes.append(axis)\\n\\n domain = axisDomains[i]\\n text = PlotAxisLabel(\\\"{}\\\\n[{:.2f},{:.2f}]\\\".format(self.relation.fieldNames[i], domain[0], domain[1]))\\n text.setFont(self.labelFont)\\n self.axisLabels.append(text)\\n text.setParentItem(axis)\",\n \"def createFigure(self,numSubplots,figWidth,figHeight):\\r\\n#\\t\\tif self.makeTB:\\r\\n#\\t\\t\\tself.createToolbar(self.vbox)\\r\\n#\\t\\tself.vbox.pack_start(self.myTB,False,False)\\r\\n\\t\\tself.axisList=[]\\r\\n\\t\\tself.axis=None\\r\\n\\t\\t# define handles to widgets\\r\\n\\r\\n\\t\\t############## FIGURE\\r\\n\\t\\tself.figure = Figure(dpi=60)\\t\\t\\r\\n\\t\\tself.figure.set_facecolor(figBgColour)\\r\\n\\t\\tself.figure.set_edgecolor(figBgColour)\\r\\n\\r\\n\\t\\t#self.axis.set_title('Graph')\\r\\n\\r\\n\\t\\tself.canvas = FigureCanvas(self.figure)\\r\\n\\t\\tself.canvas.set_size_request(figWidth,figHeight)\\r\\n\\t\\tself.canvas.show()\\r\\n\\t\\tself.buttonCallback=self.canvas.mpl_connect('button_press_event', self.OnPress)\\r\\n#\\t\\tself.canvas.mpl_connect('resize_event', onAutoScale, None, self.axis, self.canvas)\\r\\n\\r\\n \\r\\n\\t\\t############## AXIS\\r\\n\\t\\t#self.axis=self.figure.add_axes(plotPosition,axisbg=axisColour)\\r\\n\\t\\tsubplotList=[]\\r\\n\\t\\tfor m in range(numSubplots[0]*numSubplots[1]):\\r\\n\\t\\t\\tsubplotList.append(numSubplots[0]*100 + numSubplots[1] * 10 + m+1)\\r\\n\\r\\n\\t\\tif len(subplotList)==1:\\r\\n\\t\\t\\tself.axisList.append(self.figure.add_subplot(111,axisbg=axisColour,polar=self.plotPolar))\\r\\n\\t\\t\\tself.axisList[0].set_position(PLOT_POSITION)\\r\\n\\t\\telse:\\r\\n\\t\\t\\tfor x in subplotList:\\r\\n\\t\\t\\t\\tself.axisList.append(self.figure.add_subplot(x,axisbg=axisColour))\\r\\n\\r\\n\\t\\tself.axis=self.axisList[0]\\r\\n\\r\\n\\t\\t# format each axis correctly\\r\\n\\t\\tfor axis in self.axisList:\\r\\n\\t#\\t\\tself.axis.grid(True,which='major')\\r\\n\\t\\t\\taxis.grid(True)\\r\\n\\t#\\t\\tself.axis.grid(True,which='minor',color='r', linestyle='-', linewidth=2)\\r\\n\\t#\\t\\tself.axis.set_position(plotPosition)\\r\\n\\r\\n\\t\\t\\txax=axis.get_xticklabels()\\r\\n\\t\\t\\tyax=axis.get_yticklabels()\\r\\n\\r\\n\\t\\t\\tfor tick in xax:\\r\\n\\t\\t\\t\\ttick.set_fontsize(axisTextSize)\\r\\n\\r\\n\\t\\t\\tfor tick in yax:\\r\\n\\t\\t\\t\\ttick.set_fontsize(axisTextSize)\\t\\t\\r\\n\\r\\n\\t\\t\\r\\n\\t\\tself.legendStr=[]\\r\\n\\t\\tself.gaList=[]\\r\\n\\r\\n\\t\\t## add cursor function to axis when mouse is over it\\r\\n#\\t\\tself.cursor = Cursor(self.axis, useblit=True, color='red', linewidth=1)\\r\\n\\r\\n\\t\\tself.canvas.draw()\\r\\n\\r\\n\\t\\t# plot a transparent rectangle just on axis 1\\r\\n\\t\\tcurrXlim=self.axis.get_xlim()\\r\\n\\t\\tdx=abs(currXlim[1]-currXlim[0])\\r\\n\\t\\tx0=currXlim[0]\\r\\n\\t\\tcurrYlim=self.axis.get_ylim()\\r\\n\\t\\tdy=abs(currYlim[1]-currYlim[0])\\r\\n\\t\\ty0=currYlim[0]\\r\\n\\r\\n\\t\\tself.axis.r1=plotRect(self.axis,self.canvas,(x0,y0),dx,dy,showRect=self.showRect)\\r\\n\\r\\n\\t\\t#self.axis.cla()\\r\\n\\r\\n\\t\\t\\r\\n\\t\\t############## TOOLBAR\\r\\n\\t\\t# use a custom version of the matplotlib toolbar\\r\\n#\\t\\ttoolbar = NavigationToolbar2(self.canvas, self.win)\\r\\n\\t\\tself.toolbar = PlotToolbar(self.canvas,self.win,self.axis)\\r\\n\\t\\tzoomtoolbar = PlotZoomToolbar(self.canvas,self.win,self.axis,)\\r\\n\\r\\n\\t\\t# make a TB menu\\r\\n\\t\\tmenuList=['|FFT|','Normalised |FFT|','|FFT| & arg(FFT)','|T| & <T','Re & Im (T)','Re & Im (1/T - 1)','n & alpha']\\r\\n\\t\\tmnuBtn = MenuToolButtonWidget(menuList, icon=gtk.STOCK_SELECT_COLOR, label='FFT')\\r\\n\\t\\tmnuBtn.btn.connect(\\\"clicked\\\",self.newFFTwin2,0)\\r\\n\\t\\tfor m in range(len(menuList)):\\r\\n\\t\\t\\tmnuBtn.menuItems[m].connect(\\\"activate\\\",self.newFFTwin,m)\\r\\n\\r\\n\\t\\tmnuBtn.btn.set_tooltip_text('Take windowed FFT of ALL lines.')\\r\\n\\t\\tself.toolbar.add(mnuBtn.btn)\\r\\n\\r\\n\\r\\n\\r\\n\\t\\tsep=gtk.SeparatorToolItem()\\r\\n\\t\\tself.toolbar.insert(sep,1)\\r\\n\\r\\n\\r\\n\\t\\tbtn6=gtk.ToolButton(gtk.STOCK_CLEAR)\\r\\n\\t\\tbtn6.connect(\\\"clicked\\\",self.OnClear)\\r\\n\\t\\tbtn6.set_label('Clear')\\r\\n\\t\\tbtn6.set_tooltip_text('Clear the axis.')\\r\\n\\t\\tself.toolbar.insert(btn6,1)\\r\\n\\r\\n\\t\\tbtn0=gtk.ToolButton(gtk.STOCK_SAVE_AS)\\r\\n\\t\\tbtn0.connect(\\\"clicked\\\",self.OnExport)\\r\\n\\t\\tbtn0.set_label('Export')\\r\\n\\t\\tbtn0.set_tooltip_text('Export data from a curve.')\\r\\n\\t\\tself.toolbar.insert(btn0,1)\\r\\n\\r\\n\\r\\n\\t\\t# make a TB menu\\r\\n\\t\\tfitMenuList=['Linear','Polynomial','Exp decay','Subtract exp']\\r\\n\\t\\tfitmnuBtn = MenuToolButtonWidget(fitMenuList, icon=gtk.STOCK_ABOUT, label='Fit')\\r\\n\\t\\tfitmnuBtn.btn.connect(\\\"clicked\\\",self.fitPolynomial,0)\\r\\n\\t\\tfor m in range(len(fitMenuList)):\\r\\n\\t\\t\\tfitmnuBtn.menuItems[m].connect(\\\"activate\\\",self.fitPolynomial,m)\\r\\n\\r\\n\\t\\tfitmnuBtn.btn.set_tooltip_text('Fits a polynomial to data (default is a linear fit).')\\r\\n\\t\\tself.toolbar.add(fitmnuBtn.btn)\\r\\n\\r\\n\\r\\n\\t\\tbtn7=gtk.ToolButton(gtk.STOCK_CONVERT)\\r\\n\\t\\tbtn7.connect(\\\"clicked\\\",self.getBeamWidth)\\r\\n\\t\\tbtn7.set_label('Beamwidth')\\r\\n\\t\\tbtn7.set_tooltip_text('Get the beamwidth (fits Gaussian to dy/dx).')\\r\\n\\t\\tself.toolbar.add(btn7)\\r\\n\\r\\n\\t\\tbtn8=gtk.ToolButton(gtk.STOCK_EDIT)\\r\\n\\t\\tbtn8.connect(\\\"clicked\\\",self.editPlotParams)\\r\\n\\t\\tbtn8.set_label('Axes')\\r\\n\\t\\tbtn8.set_tooltip_text('Edit plot parameters.')\\r\\n\\t\\tself.toolbar.add(btn8)\\r\\n\\r\\n\\t\\tbtn9=gtk.ToolButton(gtk.STOCK_PROPERTIES)\\r\\n\\t\\tbtn9.connect(\\\"clicked\\\",self.editLegend)\\r\\n\\t\\tbtn9.set_label('Legend')\\r\\n\\t\\tbtn9.set_tooltip_text('Edit legend.')\\r\\n\\t\\tself.toolbar.add(btn9)\\r\\n\\r\\n#\\t\\tself.toolbar.set_style(gtk.TOOLBAR_BOTH) # make toolbar icons and labels visible\\r\\n\\r\\n\\t\\tif self.makeTB:\\r\\n\\t\\t\\tself.vbox.pack_start(self.toolbar,False,False)\\r\\n\\r\\n\\t\\tself.vbox.pack_start(self.canvas,True,True)\\r\\n\\t\\tself.vbox.pack_start(zoomtoolbar,False,False)\\r\\n\\r\\n\\t\\t####### Line selector/axis alteration toolbar\\r\\n\\t\\thbox=gtk.HBox(homogeneous=False, spacing=0)\\r\\n\\r\\n\\t\\tparamNames = ['Line:']\\r\\n\\t\\tparamTypes = ['cmb']\\r\\n\\t\\tparamDefaultValues = [[]]\\r\\n\\r\\n\\t\\tparamBox = ParamWidget(paramNames,paramTypes,paramDefaultValues)\\r\\n\\t\\tself.cmbBox = paramBox.objectList[0]\\r\\n#\\t\\tself.cmbBox.connect('changed',self.line_changed)\\r\\n\\r\\n\\t\\tself.hideBtn = gtk.ToggleToolButton(gtk.STOCK_NO)\\r\\n\\t\\tself.hideBtn.set_tooltip_text('Hide')\\r\\n\\t\\tself.hideBtn.connect('clicked',self.toggle_line)\\r\\n\\t\\tparamBox.table.attach(self.hideBtn,0,1,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\\r\\n\\t\\t\\r\\n\\t\\tself.colourBtn = gtk.ToolButton(gtk.STOCK_COLOR_PICKER)\\r\\n\\t\\tself.colourBtn.set_tooltip_text('Colour')\\r\\n\\t\\tself.colourBtn.connect('clicked',self.change_colour)\\r\\n\\t\\tself.color=gtk.gdk.Color(red=0,green=0,blue=1)\\r\\n\\r\\n\\t\\tparamBox.table.attach(self.colourBtn,1,2,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\\r\\n\\t\\t\\r\\n\\t\\tself.cmbStyle = gtk.combo_box_new_text()\\r\\n\\r\\n\\t\\tfor style in STYLES:\\r\\n\\t\\t\\tself.cmbStyle.append_text(style)\\r\\n\\t\\tself.cmbStyle.set_active(0)\\r\\n#\\t\\tself.style.set_tooltip_text('Line style')\\r\\n\\t\\tself.cmbStyle.connect('changed',self.change_style)\\r\\n\\r\\n\\t\\tparamBox.table.attach(self.cmbStyle,2,3,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\\r\\n\\r\\n\\t\\tself.removeBtn = gtk.ToolButton(gtk.STOCK_DELETE)\\r\\n\\t\\tself.removeBtn.set_tooltip_text('Remove')\\r\\n\\t\\tself.removeBtn.connect('clicked',self.remove_line)\\r\\n\\r\\n\\t\\tparamBox.table.attach(self.removeBtn,3,4,0,1,xoptions=gtk.EXPAND,yoptions=gtk.EXPAND)\\r\\n\\r\\n\\r\\n\\t\\thbox.pack_start(paramBox.frame,False,False)\\r\\n\\r\\n\\t\\tparamNames = ['Axis:','Left-click sets:']\\r\\n\\t\\tparamTypes = ['lbl','cmb']\\r\\n\\t\\tparamDefaultValues = ['',['Nothing','Window left','Window right','Axis left','Axis right','Plots point']]\\r\\n\\r\\n\\t\\tparamBox = ParamWidget(paramNames,paramTypes,paramDefaultValues)\\r\\n\\t\\thbox.pack_start(paramBox.frame,False,False)\\r\\n\\t\\t\\r\\n\\t\\tself.cmbBtn = paramBox.objectList[1]\\r\\n\\t\\tself.cmbBtn.set_active(0)\\r\\n\\t\\tself.cmbBtn.connect(\\\"changed\\\", self.onModeChanged)\\r\\n\\r\\n\\t\\thbox.show_all()\\r\\n\\r\\n#\\t\\tself.canvas.mpl_connect('axes_enter_event', self.enter_axes)\\r\\n#\\t\\tself.canvas.mpl_connect('axes_leave_event', self.leave_axes)\\r\\n\\r\\n\\t\\tif self.makeTB:\\r\\n#\\t\\t\\tself.connectToolbar()\\r\\n\\t\\t\\tself.vbox.pack_start(hbox,False,False)\",\n \"def add_figure1(self,x,y,index=1,title='',xlabel='',ylabel=''):\\n self.last_index = index\\n ax = self.fig.add_subplot(self.position+index)\\n ax.set_title(title)\\n ax.set_xlabel(xlabel)\\n ax.set_ylabel(ylabel)\\n ax.plot(x,y)\",\n \"def etio_subplot(df, ax, title, graph_color='skyblue'):\\n\\n post_dx_histo = histo_dx_includes(df)\\n hist_df = pd.DataFrame({\\\"Dx\\\": post_dx_histo.index, \\\"Count\\\": post_dx_histo.data})\\n #hist_df = hist_df.drop(1)\\n print(hist_df)\\n\\n graph_range = range(1,len(hist_df.index)+1)\\n ax.hlines(y=graph_range, xmin=0, xmax=hist_df['Count'], color=graph_color)\\n ax.plot(hist_df['Count'], graph_range, \\\"D\\\", color=graph_color)\\n ax.set_yticks(range(1, len(hist_df['Dx'])+1))\\n ax.set_yticklabels(hist_df['Dx'], fontsize='10')\\n\\n ax.set_title(title, fontsize='10')\\n return ax\",\n \"def plot_axes_on_fig(ax, fig=None, geometry=(1, 1, 1)):\\n if fig is None:\\n fig = plt.figure()\\n if ax.get_geometry() != geometry:\\n ax.change_geometry(*geometry)\\n axes = fig.axes.append(ax)\\n return fig, axes\",\n \"def subplot_to_figure(self):\\n if self.format is \\\"show\\\":\\n plt.show()\\n elif self.format is \\\"png\\\":\\n plt.savefig(self.path + self.filename + \\\".png\\\", bbox_inches=\\\"tight\\\")\",\n \"def set_axes(self, a):\\r\\n self.axes = a\",\n \"def create_figure(self) -> None:\\n plt.ion()\\n self.fig = plt.figure(1)\\n self.axis = self.fig.add_subplot(111, xlim=(0, 1), ylim=(0, 1))\\n self.axis.grid(True)\\n plt.xticks(np.linspace(0, 1, self._param[\\\"n_v\\\"] + 1))\\n plt.yticks(np.linspace(0, 1, self._param[\\\"n_v\\\"] + 1))\\n a_plt, = self.axis.plot([], [], 'bx', markersize=5)\\n l_plt, = self.axis.plot([], [], 'r.', markersize=15)\\n self.plots = [a_plt, l_plt]\",\n \"def __init__(self, subplot_objects):\\n self.subplot_objects = subplot_objects\",\n \"def add_subplots(fig, els_counted, atts_counted, chart_info, name=\\\"\\\", log=False):\\n if name != \\\"\\\":\\n if is_filename(name):\\n # overview of element/attribute usage for a single text\\n draw_chart(els_counted, fig, chart_info[\\\"elements_used_text\\\"], log)\\n draw_chart(atts_counted, fig, chart_info[\\\"attributes_used_text\\\"], log)\\n elif is_attname(name):\\n # overview for a specific attribute\\n draw_chart(atts_counted, fig, chart_info[\\\"attribute_used\\\"], log)\\n else:\\n # overview for a specific element\\n draw_chart(els_counted, fig, chart_info[\\\"element_used\\\"], log)\\n else:\\n # overall overview of element and attribute usage\\n draw_chart(els_counted, fig, chart_info[\\\"elements_used_all\\\"], log)\\n draw_chart(atts_counted, fig, chart_info[\\\"attributes_used_all\\\"], log)\",\n \"def ex_subplot(self, X, Y, vert = True, ttls='', argls='', **kwargs):\\n go_with_x()\\n ax = gca()\\n\\n num_subplots = len(Y)\\n\\n if not len(Y) > 1:\\n raise Exception, \\\"Subplot requires at least two Y arguments\\\"\\n\\n for i in range(len(Y)):\\n argl = ''\\n ttl = ''\\n\\n # parse out list of arguments and titles\\n if len(argls) == len(Y):\\n argl = argls[i]\\n if len(ttls) == len(Y):\\n ttl = ttls[i]\\n\\n # based on vert setting, determine subplot command\\n if vert == True:\\n sub_num = int('%d%d%d' % (num_subplots, 1, i+1))\\n else:\\n sub_num = int('%d%d%d' % (1, num_subplots, i+1))\\n\\n subplot(sub_num)\\n\\n # If passed a list of indices, pass to twinplot function\\n if hasattr(Y[i], '__iter__'):\\n self.ex_twinplot(X, Y[i], ttl=ttl, argl=argl, **kwargs)\\n else:\\n self.ex_plot(X, Y[i], ttl=ttl, argl=argl, **kwargs)\\n\\n ax = gca()\\n\\n # Remove redundant axes on subplot\\n if vert == True:\\n if i+1 != len(Y):\\n ax.set_xlabel('')\\n else:\\n if i != 0:\\n ax.set_ylabel('')\",\n \"def execute(self, fig):\\n info = self._params\\n renderer = fig._get_renderer()\\n with getattr(renderer, \\\"_draw_disabled\\\", nullcontext)():\\n kwargs = get_tight_layout_figure(\\n fig, fig.axes, get_subplotspec_list(fig.axes), renderer,\\n pad=info['pad'], h_pad=info['h_pad'], w_pad=info['w_pad'],\\n rect=info['rect'])\\n if kwargs:\\n fig.subplots_adjust(**kwargs)\",\n \"def __init__(self, subplot_class, *args, **kwargs):\\n import pylab\\n self.fig = pylab.figure(*args, **kwargs)\\n self.subplot_class = subplot_class\",\n \"def _make_twin_axes(self, *args, **kwargs):\\n # Typically, SubplotBase._make_twin_axes is called instead of this.\\n # There is also an override in axes_grid1/axes_divider.py.\\n if 'sharex' in kwargs and 'sharey' in kwargs:\\n raise ValueError('Twinned Axes may share only one axis.')\\n ax2 = self.figure.add_axes(self.get_position(True), *args, **kwargs)\\n self.set_adjustable('datalim')\\n ax2.set_adjustable('datalim')\\n self._twinned_axes.join(self, ax2)\\n return ax2\",\n \"def plot_subplots_vel(self, fig_num: int, title: str, y_label: str, vel: np.ndarray) -> matplotlib.figure.Figure:\\n fig = plt.figure(fig_num)\\n axs = fig.subplots(3, 1, sharex=True)\\n marker_graph_init(axs, vel, y_label, self.frame_nums, color='blue')\\n plt.tight_layout()\\n fig.suptitle(title)\\n make_interactive()\\n return fig\",\n \"def adjust_axes(axes):\\n # TODO: Uncomment & decide for each subplot!\\n for ax in axes.itervalues():\\n core.hide_axis(ax)\\n\\n for k in [\\n \\\"placeholder\\\",\\n \\\"placeholder1\\\",\\n \\\"placeholder2\\\",\\n \\\"spikes_stim\\\",\\n \\\"spikes_stim1\\\",\\n \\\"spikes_stim2\\\",\\n \\\"spikes_post\\\",\\n \\\"stimulation_schema\\\"\\n ]:\\n axes[k].set_frame_on(False)\",\n \"def bind_to_figure(ax, fig=None):\\n\\n if fig is not None:\\n assert isinstance(fig, plt.Figure), 'argument must be a Figure'\\n assert len(fig.axes) == 1, 'figure must have one and only one axes'\\n new_ax = fig.axes[0]\\n else:\\n fig, new_ax = plt.subplots()\\n\\n new_ax.set_facecolor(ax.get_facecolor())\\n\\n for line in ax.lines:\\n data = line.get_data()\\n new_ax.plot(data[0], data[1], linestyle=line.get_linestyle(), color=line.get_color(),\\n zorder=line.zorder, label=line.get_label())\\n\\n for collection in ax.collections:\\n data = collection.get_offsets()\\n new_ax.scatter(data[:, 0], data[:, 1], marker='s', facecolor=collection.get_facecolors(),\\n edgecolor=collection.get_edgecolors(), s=collection.get_sizes(),\\n zorder=line.zorder, label=collection.get_label())\\n\\n for text in ax.texts:\\n xx, yy = text.get_position()\\n new_ax.text(xx, yy, text.get_text(), family=text.get_fontfamily(),\\n fontsize=text.get_fontsize(),\\n color=text.get_color(), ha=text.get_horizontalalignment(),\\n va=text.get_verticalalignment(), zorder=text.zorder)\\n\\n for image in ax.images:\\n new_ax.imshow(image.get_array(), interpolation=image.get_interpolation())\\n\\n if ax.legend_:\\n new_ax.legend()\\n\\n new_ax.grid(ax.get_xgridlines(), color=ax.get_xgridlines()[0].get_color(),\\n alpha=ax.get_xgridlines()[0].get_alpha())\\n new_ax.grid(ax.get_ygridlines(), color=ax.get_xgridlines()[0].get_color(),\\n alpha=ax.get_xgridlines()[0].get_alpha())\\n\\n new_ax.set_xlim(ax.get_xlim())\\n new_ax.set_ylim(ax.get_ylim())\\n new_ax.set_xlabel(ax.get_xlabel())\\n new_ax.set_ylabel(ax.get_ylabel())\\n\\n return fig\",\n \"def _add_axes(self, n):\\n height = (self.top - self.bottom) / float(self.get_n())\\n height = min(height, self.maxheight)\\n width = self.right - self.left\\n ax = self.figure.add_axes([self.left, self.bottom + (n - 1) * height, width, height])\\n return ax\",\n \"def axes_maker(rows, cols):\\n fig = plt.figure()\\n current_subplot = [1] # Use list in order to modify\\n def next_axes(**kwargs):\\n current_subplot[0] += 1\\n axes = fig.add_subplot(rows, cols, current_subplot[0] - 1, **kwargs)\\n return axes\\n return next_axes\",\n \"def frame():\\n fig = plt.figure(figsize = (6, 3))\\n\\n plt.subplots_adjust(left=.15, bottom=.2, right=.95, top=.9)\\n ax = fig.add_subplot(111)\\n \\n ax.tick_params(axis=\\\"x\\\", labelsize=12)\\n ax.tick_params(axis=\\\"y\\\", labelsize=12)\\n\\n return fig, ax\",\n \"def add_subplot(self, plot, i=0, j=0, plot_id=None):\\n self.plotlayout.addWidget(plot, i, j)\\n self.plots.append(plot)\\n if plot_id is None:\\n plot_id = id(plot)\\n self.manager.add_plot(plot, plot_id)\",\n \"def _set_axes(self):\\n self += helper.line(stroke=\\\"black\\\", x1=self.__dict__['x'], x2=self.__dict__['x'], y1=0, y2=self.__dict__['y']*2)\\n self += helper.line(stroke=\\\"black\\\", x1=0, x2=self.__dict__['x']*2, y1=self.__dict__['y'], y2=self.__dict__['y'])\",\n \"def plot_subplots(self, fig_num: int, title: str, raw: np.ndarray, smoothed: np.ndarray,\\n axes_lbl_entries: Sequence[str]) -> matplotlib.figure.Figure:\\n fig = plt.figure(fig_num)\\n axs = fig.subplots(3, 1, sharex=True)\\n raw_lines = marker_graph_init(axs, raw, '', self.frame_nums, color='red')\\n for idx, ax in enumerate(axs):\\n plot_utils.update_ylabel(ax, axes_lbl_entries[idx], font_size=10)\\n smoothed_lines = marker_graph_add(axs, smoothed, self.frame_nums, color='green')\\n plt.tight_layout()\\n plt.subplots_adjust(top=0.94)\\n fig.suptitle(title)\\n fig.legend((raw_lines[0], smoothed_lines[0]), ('Raw', 'Smoothed'), ncol=2, handlelength=0.75,\\n handletextpad=0.25, columnspacing=0.5, loc='lower left')\\n make_interactive()\\n return fig\",\n \"def prepare_subplot(fig, point_list, cols, rows, number, lims):\\n ax = fig.add_subplot(cols, rows, number)\\n ax.scatter(list(map(lambda e: e[0], point_list)), list(map(lambda e: e[1], point_list)), s=9)\\n ax.set_xlim(lims[0], lims[1])\\n ax.set_ylim(lims[0], lims[1])\\n return ax\",\n \"def adjust_figsize(self):\\n extra_width = 0\\n extra_height = 0\\n if 'suptitle' in self.figure_objects:\\n suptitle_obj = self.figure_objects['suptitle']\\n suptitle_height = self.get_bbox(suptitle_obj).height\\n extra_height += suptitle_height\\n\\n ax_widths = []\\n ax_heights = []\\n for subplot in self.subplots:\\n ax = subplot.ax\\n annotations = subplot.annotations\\n\\n width = 0\\n height = 0\\n if annotations is not None:\\n ax_bbox = self.get_bbox(ax)\\n\\n if 'title' in annotations:\\n title_obj = annotations['title']\\n title_height = self.get_bbox(title_obj).height\\n height += title_height\\n\\n xticks_objects = ax.get_xticklabels()\\n first_xtick_bbox = self.get_bbox(xticks_objects[0]) # first lower xticklabel bbox\\n lower_xticks_height = max(0, ax_bbox.y0 - first_xtick_bbox.y0)\\n height += lower_xticks_height\\n\\n last_xtick_bbox = self.get_bbox(xticks_objects[-1])\\n # if last xticklabel bbox is heigher that the first, there are labels atop of the subplot\\n if first_xtick_bbox.y0 != last_xtick_bbox.y0:\\n upper_xticks_height = max(0, last_xtick_bbox.y1 - ax_bbox.y1)\\n height += upper_xticks_height\\n\\n if 'xlabel' in annotations:\\n xlabel_obj = annotations['xlabel']\\n xlabel_height = self.get_bbox(xlabel_obj).height\\n height += xlabel_height\\n\\n yticks_objects = ax.get_yticklabels()\\n if len(yticks_objects) > 0:\\n first_ytick_bbox = self.get_bbox(yticks_objects[0]) # first lower xticklabel bbox\\n lower_yticks_width = max(0, ax_bbox.x0 - first_ytick_bbox.x0)\\n width += lower_yticks_width\\n\\n if len(yticks_objects) > 1:\\n last_ytick_bbox = self.get_bbox(yticks_objects[-1])\\n # if last yticklabel bbox is righter that the first, there are labels to the right of the subplot\\n if first_ytick_bbox.x0 != last_ytick_bbox.x0:\\n right_yticks_width = max(0, last_ytick_bbox.x1 - ax_bbox.x1)\\n width += right_yticks_width\\n\\n if 'ylabel' in annotations:\\n ylabel_obj = annotations['ylabel']\\n ylabel_width = self.get_bbox(ylabel_obj).width\\n width += ylabel_width\\n\\n ax_widths.append(width)\\n ax_heights.append(height)\\n\\n nrows, ncols = self.figure_config['ncols'], self.figure_config['nrows']\\n ax_widths = np.array(ax_widths).reshape(nrows, ncols)\\n extra_width += ax_widths.max(axis=1).sum()\\n\\n ax_heights = np.array(ax_heights).reshape(nrows, ncols)\\n extra_height += ax_heights.max(axis=0).sum()\\n\\n fig_width, fig_height = self.figure_config['figsize']\\n new_figsize = (fig_width + extra_width, fig_height + extra_height)\\n self.figure.set_size_inches(new_figsize)\",\n \"def _handle_axes(self, drawable, option):\\n # If we already have an axes object, ignore this one\\n if self._axes_object is not None:\\n return\\n\\n # Grab the histogram used for axes style/range manipulation\\n if is_stack(drawable) or is_graph(drawable):\\n axes_histogram = drawable.GetHistogram()\\n else:\\n axes_histogram = drawable\\n\\n # Grab the histogram used for title manipulation\\n if is_stack(drawable):\\n title_histogram = drawable.GetHists()[0]\\n else:\\n title_histogram = drawable\\n\\n # Set the plot title\\n title_histogram.SetTitle(self._title)\\n\\n # Grab axes\\n x_axis, y_axis = axes_histogram.GetXaxis(), axes_histogram.GetYaxis()\\n\\n # Grab titles from first histogram if not set explicitly\\n if self._x_title is None:\\n self._x_title = title_histogram.GetXaxis().GetTitle()\\n if self._y_title is None:\\n self._y_title = title_histogram.GetYaxis().GetTitle()\\n\\n # Style x-axis, or hide it if this plot has a ratio plot\\n if self._x_range is not None:\\n x_axis.SetRangeUser(*self._x_range)\\n if self._ratio_plot:\\n x_axis.SetLabelOffset(999)\\n x_axis.SetTitleOffset(999)\\n else:\\n x_axis.SetTitle(self._x_title)\\n x_axis.SetTitleSize(self.PLOT_X_AXIS_TITLE_SIZE)\\n x_axis.SetTitleOffset(self.PLOT_X_AXIS_TITLE_OFFSET)\\n x_axis.SetLabelSize(self.PLOT_X_AXIS_LABEL_SIZE)\\n if self._x_integer_ticks:\\n x_axis.SetNdivisions(11) # hack for integer ticks \\n\\n # Style y-axis\\n y_axis.SetTitle(self._y_title)\\n y_axis.SetLabelFont(self.PLOT_ATLAS_STAMP_TEXT_FONT)\\n y_axis.SetTitleSize(\\n (self.PLOT_Y_AXIS_TITLE_SIZE_WITH_RATIO\\n if self._ratio_plot\\n else self.PLOT_Y_AXIS_TITLE_SIZE)\\n )\\n y_axis.SetTitleOffset(\\n (self.PLOT_Y_AXIS_TITLE_OFSET_WITH_RATIO\\n if self._ratio_plot\\n else self.PLOT_Y_AXIS_TITLE_OFFSET)\\n )\\n y_axis.SetNdivisions(5,5,0)\\n \\n # set axis text sizes \\n if self._ratio_plot:\\n y_axis.SetLabelSize(self.PLOT_Y_AXIS_LABEL_SIZE_WITH_RATIO)\\n else:\\n y_axis.SetLabelSize(self.PLOT_Y_AXIS_LABEL_SIZE) \\n y_axis.SetTitleSize(self.PLOT_Y_AXIS_TITLE_SIZE)\\n y_axis.SetTitleOffset(self.PLOT_RATIO_Y_AXIS_TITLE_OFFSET)\\n\\n # Redraw the drawable with the new style\\n drawable.Draw(option)\",\n \"def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, apportion = None, debug = 0, *args, **kwargs):\\n #Note: we use squeeze = False internally, then return axes according to the keyword\\n fig, axes = pylab_subplots(nrows=nrows, ncols=ncols, sharex=sharex, sharey=sharey, squeeze=False, *args, **kwargs)\\n nrows = len(axes[:,0].flatten())\\n # start with even allocation of unity\\n fracts = np.ones(nrows)\\n # if just one arg, that is the first allocation\\n if apportion != None:\\n if len(np.shape(apportion)) == 0:\\n fracts[0]=apportion\\n # fill up the rest\\n for (i,a) in enumerate(apportion):\\n if i<nrows: fracts[i] = a\\n # now make into a fractions\\n fracts = fracts/np.sum(fracts)\\n\\n #loop over axes, bottom to top, extract the space below and the height for each (ignore space above\\n above = [] ; height = []\\n lasty = 1\\n for (i,ax) in enumerate(axes[:,0]):\\n bb = ax.get_position().get_points()\\n pos = bb.flatten() \\n height.append(pos[3]-pos[1])\\n above.append(lasty - pos[3] )\\n lasty = pos[1]\\n\\n# loop again, building down from top according to new share, keep margins\\n yabove_0 = 1 # the norm. y coord of the bottom of the above graph\\n print(above, height)\\n for col in range(np.shape(axes)[1]):\\n for (i,ax) in enumerate(axes[:,col]):\\n if (i==0): yabove = yabove_0\\n bb = ax.get_position().get_points()\\n pos = bb.flatten() \\n # convert to x0,y0, dx, dy form by subtracting origin\\n newh = height[i]*fracts[i]*nrows\\n\\n pos[1] = yabove - newh - above[i]\\n pos[3] = newh\\n pos[2] = pos[2] - pos[0]\\n yabove = pos[1]\\n if debug>0: print(pos)\\n ax.set_position(pos)\\n\\n if squeeze: \\n if len(np.shape(axes[0]))==0: axes = axes.flatten() \\n if len(axes) == 1: axes = axes[0]\\n return(fig, axes)\",\n \"def new_axes(self, name):\\n\\n return self.figure.add_axes([0.05, 0.05, 0.9, 0.9], label=name)\",\n \"def func_double_yaxis_data_subplot_show(data_plot_cfg_dic_nlst, axes_cfg_dic_lst,\\n nrow, ncol, x_label, y1_label, y2_label,\\n sub_titles=None, anno_text_lst=None, fig_title_lst=None,\\n fig_size=None, subplot_fit_rect=None):\\n\\n # Create a figure\\n fig, axs = plt.subplots(nrow, ncol, figsize=fig_size)\\n\\n # Plot the double-axis data for each subplot\\n for index, ax in enumerate(axs.flat):\\n ax1, ax2 = func_double_yaxis_data_plot(ax, data_plot_cfg_dic_nlst[index], axes_cfg_dic_lst,\\n x_label, y1_label, y2_label)\\n\\n # Config the figure\\n if index == 0:\\n fontsize_label = axes_cfg_dic_lst[0].get('fontsize_label', 14)\\n ax1.set_ylabel(y1_label, color='k', fontsize=fontsize_label)\\n ax2.label_outer() # It seems label_outer() doesn't work for ax2, so I remove ytick labels manually\\n ax2.set_yticklabels([])\\n elif index == (ncol - 1):\\n fontsize_label = axes_cfg_dic_lst[1].get('fontsize_label', 14)\\n ax2.set_ylabel(y2_label, color='k', fontsize=fontsize_label)\\n ax1.label_outer()\\n\\n ax1.get_legend().remove() # Remove individual legend for each subplot\\n ax2.get_legend().remove() # Remove individual legend for each subplot\\n # ax1.label_outer()\\n # ax2.label_outer()\\n\\n # Define appearance\\n func_matlab_style(ax)\\n\\n if fig_title_lst is not None:\\n ax.set_title(fig_title_lst[index], fontweight='bold')\\n if sub_titles is not None:\\n ax.text(-25, -43, sub_titles[index], fontsize=11, fontweight='bold')\\n if anno_text_lst is not None:\\n ax.text(axes_cfg_dic_lst[0]['xlim'][0]+10, -5, anno_text_lst[index], fontsize=8)\\n # ax.set_aspect('equal')\\n\\n ax1_handles, ax1_labels = ax1.get_legend_handles_labels()\\n ax2_handles, ax2_labels = ax2.get_legend_handles_labels()\\n handles = ax1_handles + ax2_handles\\n labels = ax1_labels + ax2_labels\\n fontsize_legend = axes_cfg_dic_lst[0].get('fontsize_legend', 12)\\n fig.legend(handles, labels, ncol=4, loc='lower center', prop={'size': fontsize_legend})\\n\\n fig.tight_layout(rect=subplot_fit_rect) # otherwise the right y-label is slightly clipped\\n plt.show()\",\n \"def plot(self, axes):\\n if self.is_leaf:\\n axes.plot([p.x for p in self.points], [p.y for p in self.points], 'bo')\\n else:\\n axes.plot([self.centre.x - self.size / 2, self.centre.x + self.size / 2],\\n [self.centre.y, self.centre.y], '-', color='gray')\\n axes.plot([self.centre.x, self.centre.x],\\n [self.centre.y - self.size / 2, self.centre.y + self.size / 2],\\n '-', color='gray')\\n for child in self.children:\\n child.plot(axes)\\n axes.set_aspect(1)\",\n \"def get_ax(rows=1, cols=1, size=8):\\r\\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\\r\\n return ax\",\n \"def set_figure_variables(self):\\n #self.fig.canvas.manager.full_screen_toggle()\\n self.gs = self.fig.add_gridspec(2, 3)\\n self.ax1 = self.fig.add_subplot(self.gs[0, 0])\\n self.ax2 = self.fig.add_subplot(self.gs[0, 1])\\n self.ax3 = self.fig.add_subplot(self.gs[0, 2])\\n self.ax4 = self.fig.add_subplot(self.gs[1, 0])\\n self.ax5 = self.fig.add_subplot(self.gs[1, 1])\\n self.ax6 = self.fig.add_subplot(self.gs[1, 2])\\n # histogram with indicator scoring\\n self.ax1.set_xlabel(\\\"indicators\\\")\\n self.ax1.set_ylabel(\\\"score (%)\\\")\\n # graph with flood safety levels\\n self.ax2.set_xlabel(\\\"dike section\\\")\\n self.ax2.set_ylabel(\\\"chance of flooding occurrence\\\")\\n # graph with water levels vs dike height\\n self.ax3.set_xlabel(\\\"river length (meters)\\\")\\n self.ax3.set_ylabel(\\\"height (meters)\\\")\\n # graph with overall costs made\\n self.ax6.set_ylabel(\\\"million Euros\\\")\\n \\n self.ax1.set_ylim([0, 100])\\n self.ax2.set_ylim([0, 100])\\n self.ax3.set_ylim([14, 18])\\n self.ax6.set_ylim([0, 25000000])\\n \\n self.ax1.set_title(\\\"Overall score on indicators\\\")\\n self.ax2.set_title(\\\"Flood safety levels\\\")\\n self.ax3.set_title(\\\"Normative water levels vs dike crest height\\\")\\n self.ax6.set_title(\\\"Budget spent\\\")\\n \\n self.x_pos = np.arange(len(self.indicators))\\n self.ax1.set_xticks(self.x_pos)\\n self.ax1.set_xticklabels(self.indicators)\\n \\n flood_safety_levels = [100, 200, 400, 600, 800, 1000, 1250]\\n self.ax2.set_yticks(flood_safety_levels)\\n self.ax2.set_yticklabels([\\\"1/\\\"+str(value) for value in flood_safety_levels])\\n \\n self.plot1 = None\\n self.plot2 = None\\n self.plot3 = None\\n self.plot4 = None\\n self.plot5 = None\\n self.plot6 = None\\n return\",\n \"def plot(self):\\n attr = self.Graph[\\\"root\\\"]\\n if (self.type == 0 or self.type == 1):\\n self.subplot_1(attr, 0)\\n else:\\n self.subplot_2(attr, 0)\",\n \"def create_four_subplots():\\n pass\",\n \"def create_figure_with_subfigure(exercise_value):\\n fig = make_subplots(\\n rows=math.ceil(len(exercise_value) / 2),\\n cols=2,\\n subplot_titles=exercise_value,\\n shared_xaxes=True,\\n shared_yaxes=True,\\n )\\n return fig\",\n \"def subplot_for_map(show_x_axis=False, show_y_axis=False, aspect='equal', **kwargs):\\n fig, ax = plt.subplots(**kwargs)\\n ax.set_aspect(aspect)\\n\\n ax.get_xaxis().set_visible(show_x_axis)\\n ax.get_yaxis().set_visible(show_y_axis)\\n\\n if show_x_axis:\\n fig.autofmt_xdate()\\n\\n return fig, ax\",\n \"def build_scatter_subplot(fig, x, y, row_num, text, xaxis_text, yaxis_text):\\n\\n # Place provided data\\n fig.add_trace(go.Scatter(x=x, y=y, mode=\\\"markers\\\", marker=dict(size=10)), row=row_num, col=1)\\n # Approximate linear function\\n res = sm.OLS(y, sm.add_constant(x)).fit().fittedvalues\\n # Place trendline\\n fig.add_trace(go.Scatter(x=x, y=res, mode=\\\"lines\\\"), row=row_num, col=1)\\n # Place subplot (for the first subplot, we need to refer to the title of the figure itself) title\\n if row_num == 1:\\n fig.update_layout(title={\\\"text\\\": text})\\n else:\\n fig.layout.annotations[row_num - 2].update(text=text)\\n # Place axis text\\n fig.update_xaxes(title_text=xaxis_text, row=row_num, col=1)\\n fig.update_yaxes(title_text=yaxis_text, row=row_num, col=1)\",\n \"def subplottPNG(self):\\n os.chdir(self.mainDir)\\n folder = os.listdir(u'.')\\n folders = [f for f in folder if f[0] == 'S']\\n\\n for subject in folders:\\n\\n try: # go to the 'results' directory\\n resultsDir = os.path.join(os.path.join(self.mainDir, subject),'results')\\n os.chdir(resultsDir)\\n\\n # find all files with .png extension\\n pngfiles = glob.glob('*.png')\\n pngfiles.sort(key = lambda x:x[0])\\n pngfiles.sort(key = lambda x:x[1])\\n\\n fig = plt.figure()\\n\\n for ii, filename in enumerate(pngfiles):\\n f = plt.subplot(4,4,ii+1)\\n f.set_axis_off()\\n f.set_xlabel('ses:'+str(ii+1))# f.set_figheight(15)\\n fig.set_figwidth(30)\\n fig.set_figheight(30)\\n fig.tight_layout()\\n img = matplotlib.image.imread(filename)\\n plt.imshow(img)\\n\\n figname = subject + '_subplot'+ '.png'\\n matplotlib.pyplot.savefig(figname)\\n\\n except Exception as errMessage:\\n print(errMessage)\",\n \"def new_axes(self, ax):\\n self.ax = ax\\n if self.canvas is not ax.figure.canvas:\\n if self.canvas is not None:\\n self.disconnect_events()\\n\\n self.canvas = ax.figure.canvas\\n self.connect_default_events()\\n\\n # Reset\\n self._selection_completed = False\\n\\n if self.direction == 'horizontal':\\n trans = ax.get_xaxis_transform()\\n w, h = 0, 1\\n else:\\n trans = ax.get_yaxis_transform()\\n w, h = 1, 0\\n rect_artist = Rectangle((0, 0), w, h,\\n transform=trans,\\n visible=False,\\n **self._props)\\n\\n self.ax.add_patch(rect_artist)\\n self._selection_artist = rect_artist\",\n \"def subplot_fit(self):\\r\\n\\r\\n self.open_subplot_figure(number_subplots=12)\\r\\n\\r\\n self.figures_2d(data=True)\\r\\n\\r\\n self.set_title(label=\\\"Data (Source Scale)\\\")\\r\\n self.figures_2d(data=True, use_source_vmax=True)\\r\\n self.set_title(label=None)\\r\\n\\r\\n self.figures_2d(signal_to_noise_map=True)\\r\\n self.figures_2d(model_image=True)\\r\\n\\r\\n self.set_title(label=\\\"Lens Light Model Image\\\")\\r\\n self.figures_2d_of_planes(plane_index=0, model_image=True)\\r\\n\\r\\n # If the lens light is not included the subplot index does not increase, so we must manually set it to 4\\r\\n self.mat_plot_2d.subplot_index = 6\\r\\n\\r\\n final_plane_index = len(self.fit.tracer.planes) - 1\\r\\n\\r\\n self.mat_plot_2d.cmap.kwargs[\\\"vmin\\\"] = 0.0\\r\\n\\r\\n self.set_title(label=\\\"Lens Light Subtracted Image\\\")\\r\\n self.figures_2d_of_planes(plane_index=final_plane_index, subtracted_image=True, use_source_vmax=True)\\r\\n\\r\\n self.set_title(label=\\\"Source Model Image (Image Plane)\\\")\\r\\n self.figures_2d_of_planes(plane_index=final_plane_index, model_image=True, use_source_vmax=True)\\r\\n\\r\\n self.mat_plot_2d.cmap.kwargs.pop(\\\"vmin\\\")\\r\\n\\r\\n self.set_title(label=\\\"Source Plane (Zoomed)\\\")\\r\\n self.figures_2d_of_planes(plane_index=final_plane_index, plane_image=True, use_source_vmax=True)\\r\\n\\r\\n\\r\\n self.set_title(label=None)\\r\\n\\r\\n self.mat_plot_2d.subplot_index = 9\\r\\n\\r\\n self.figures_2d(normalized_residual_map=True)\\r\\n\\r\\n self.mat_plot_2d.cmap.kwargs[\\\"vmin\\\"] = -1.0\\r\\n self.mat_plot_2d.cmap.kwargs[\\\"vmax\\\"] = 1.0\\r\\n\\r\\n self.set_title(label=\\\"Normalized Residual Map (1 sigma)\\\")\\r\\n self.figures_2d(normalized_residual_map=True)\\r\\n self.set_title(label=None)\\r\\n\\r\\n self.mat_plot_2d.cmap.kwargs.pop(\\\"vmin\\\")\\r\\n self.mat_plot_2d.cmap.kwargs.pop(\\\"vmax\\\")\\r\\n\\r\\n self.figures_2d(chi_squared_map=True)\\r\\n\\r\\n self.set_title(label=\\\"Source Plane (No Zoom)\\\")\\r\\n self.figures_2d_of_planes(\\r\\n plane_index=final_plane_index,\\r\\n plane_image=True,\\r\\n zoom_to_brightest=False,\\r\\n use_source_vmax=True\\r\\n )\\r\\n\\r\\n self.set_title(label=None)\\r\\n\\r\\n self.mat_plot_2d.output.subplot_to_figure(\\r\\n auto_filename=\\\"subplot_fit\\\"\\r\\n )\\r\\n self.close_subplot_figure()\",\n \"def plot_overlay2axes(self, axes) -> None:\\n # calculate height (based on leaf analysis ratio)\\n upper_point = (\\n self.leaf_center_px - self.leaf_width_px / 2 * self._analysis_ratio\\n )\\n lower_point = (\\n self.leaf_center_px + self.leaf_width_px / 2 * self._analysis_ratio\\n )\\n height = abs(upper_point - lower_point) * 0.8\\n\\n for idx, line in enumerate(self.marker_lines):\\n width = abs(self.error[idx]) * self._image.dpmm\\n y = line.center.y\\n x = self.position[idx] - (self.error[idx] * self._image.dpmm) / 2\\n\\n if self._orientation == Orientation.UP_DOWN:\\n r = Rectangle(width, height, center=(x, y))\\n # if any of the values are over tolerance, show another larger rectangle to draw the eye\\n if not self.passed[idx] or not self.passed_action[idx]:\\n re = Rectangle(\\n self._image_window.shape[1] * 0.2, height * 1.2, center=(x, y)\\n )\\n re.plot2axes(\\n axes,\\n edgecolor=\\\"none\\\",\\n fill=True,\\n alpha=0.5,\\n facecolor=self.bg_color[idx],\\n )\\n else:\\n r = Rectangle(height, width, center=(x, y))\\n if not self.passed[idx] or not self.passed_action[idx]:\\n re = Rectangle(\\n self._image_window.shape[1] * 0.2, height * 1.2, center=(x, y)\\n )\\n re.plot2axes(\\n axes,\\n edgecolor=\\\"none\\\",\\n fill=True,\\n alpha=0.5,\\n facecolor=self.bg_color[idx],\\n )\\n r.plot2axes(\\n axes, edgecolor=\\\"none\\\", fill=True, alpha=1, facecolor=self.bg_color[idx]\\n )\",\n \"def setup_figure_1ax(x_label='', y_label='', size=(13, 9), shrink_ax=True):\\n\\n matplotlib.rcParams.update({'font.size': 20})\\n fig, ax = plt.subplots()\\n fig.set_size_inches(size)\\n ax.set_xlabel(x_label)\\n ax.set_ylabel(y_label)\\n ax.spines['top'].set_visible(False)\\n ax.spines['right'].set_visible(False)\\n ax.spines['bottom'].set_visible(False)\\n ax.spines['left'].set_visible(False)\\n # Shrink current axis by 20%\\n if shrink_ax:\\n box = ax.get_position()\\n ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\\n ax.grid()\\n return fig, ax\",\n \"def plot_evolution(self, layer, sublayer, figures=[], axes=[]):\\n if figures==[]:\\n figures.append(plt.figure(\\\"Basis evolution per recording (euclidean distance between sets of basis)\\\"))\\n distance_legend = [\\\"Base N: \\\"+str(i) for i in range(len(self.basis[layer][sublayer]))]\\n axes.append(figures[0].add_subplot('111'))\\n axes[0].plot(self.basis_distance[layer][sublayer])\\n axes[0].legend(tuple(distance_legend))\\n axes[0].set_xlabel(\\\"Recording Number\\\")\\n \\n evolution_parameters=np.array([self.noise_history[layer][sublayer], \\n self.learning_history[layer][sublayer],\\n self.sparsity_history[layer][sublayer],\\n self.sensitivity_history[layer][sublayer]]).transpose()\\n evolution_legend = (\\\"Noise\\\",\\\"Learning step\\\",\\\"Sparsity\\\",\\\"Sensitivity\\\")\\n figures.append(plt.figure(\\\"Network parameter evolution per recording\\\"))\\n axes.append(figures[1].add_subplot('111'))\\n axes[1].plot(evolution_parameters)\\n axes[1].legend(tuple(evolution_legend))\\n axes[1].set_xlabel(\\\"Recording Number\\\")\\n else:\\n \\n axes[0].clear()\\n distance_legend = [\\\"Base N: \\\"+str(i) for i in range(len(self.basis[layer][sublayer]))] \\n axes[0].plot(self.basis_distance[layer][sublayer])\\n axes[0].legend(tuple(distance_legend))\\n axes[0].set_xlabel(\\\"Recording Number\\\")\\n \\n axes[1].clear()\\n evolution_parameters=np.array([self.noise_history[layer][sublayer], \\n self.learning_history[layer][sublayer],\\n self.sparsity_history[layer][sublayer],\\n self.sensitivity_history[layer][sublayer]]).transpose()\\n evolution_legend = (\\\"Noise\\\",\\\"Learning step\\\",\\\"Sparsity\\\",\\\"Sensitivity\\\")\\n axes[1].plot(evolution_parameters)\\n axes[1].legend(tuple(evolution_legend))\\n axes[1].set_xlabel(\\\"Recording Number\\\")\\n return figures, axes\",\n \"def get_ax(rows=1, cols=1, size=8):\\n fig , ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\\n return fig,ax\",\n \"def get_ax(rows=1, cols=1, size=8):\\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\\n return ax\",\n \"def addFigure(self,fig,xl,yl,scale):\\n img = py.image.load(fig)\\n w,h = img.get_size()\\n img = py.transform.scale(img,(int(w*scale),int(h*scale)))\\n self.figures.append(img)\\n self.locs.append((xl,yl))\",\n \"def draw_canvas(plt, nrows = 2, ncols = 1, gridspec_kw = None, sharex = True, multiscales = False):\\n if not gridspec_kw: # Use default [1,1,1,1]\\n ratios = ncols*nrows*[1]\\n gridspec_kw = {\\n 'height_ratios' : ratios,\\n 'hspace' : 0,\\n 'left' : 0.0,\\n 'right' : 2.0,\\n 'bottom' : 0.0,\\n 'top' : 1.0 }\\n fig, axis = plt.subplots(nrows, ncols, sharex = sharex, gridspec_kw = gridspec_kw)\\n if isinstance(axis, np.ndarray): \\n axis = [ec.extend_all(i) for i in axis]\\n else:\\n axis = [ec.extend_all(axis)]\\n if multiscales:\\n tmp = []\\n for axe in axis:\\n tmp_axe = axe.twinx()\\n tmp.append(ec.extend_all(tmp_axe))\\n axis += tmp\\n\\n return fig, axis\",\n \"def get_ax(rows=1, cols=1, size=8):\\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\\n return ax\",\n \"def get_ax(rows=1, cols=1, size=8):\\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\\n return ax\",\n \"def draw(subplots, title=''):\\n if type(subplots) == SubPlot:\\n subplots = [[subplots]]\\n font_size = 16\\n title_size = 20\\n root = tk.Tk()\\n root.title(title if title else 'Plot')\\n root.geometry(\\\"1050x700\\\")\\n fig = create_figure(root)\\n\\n num_rows = len(subplots)\\n num_columns = max(len(graphs) for graphs in subplots)\\n\\n for i in range(num_rows):\\n for j in range(num_columns):\\n subplot = subplots[i][j]\\n if subplot is None:\\n continue\\n index = (i*num_columns)+j+1\\n ax = fig.add_subplot(num_rows, num_columns, index)\\n ax.set_ylabel(subplot.y_label, fontsize=font_size)\\n ax.set_xlabel(subplot.x_label, fontsize=font_size)\\n ax.set_title(subplot.title, fontsize=font_size, fontweight='bold')\\n ax.ticklabel_format(axis='y', style='sci')\\n ax.ticklabel_format(useOffset=False)\\n for graph in subplot.graphs:\\n if type(graph) == Histogram:\\n _draw_historgram(ax, graph)\\n elif type(graph) == Graph:\\n _draw_graph(ax, graph)\\n '''\\n spacing = 2\\n if subplot.x_log:\\n ax.set_xscale('log')\\n x_lim = ax.get_xlim()\\n ax.set_xlim(x_lim[0]/spacing, x_lim[1]*spacing)\\n ax.grid(which='both')\\n if subplot.y_log:\\n ax.set_yscale('log')\\n y_lim = ax.get_ylim()\\n ax.set_ylim(y_lim[0]/spacing, y_lim[1]*spacing*3)\\n ax.grid(which='both')\\n '''\\n with warnings.catch_warnings():\\n warnings.simplefilter('ignore')\\n ax.legend(loc='best')\\n\\n fig.suptitle(title, fontweight='bold', fontsize=title_size)\\n fig.subplots_adjust(hspace=.6, wspace=.3)\\n root.mainloop()\",\n \"def show_axes(self):\\n if hasattr(self, 'axes_widget'):\\n self.axes_widget.EnabledOn()\\n self.axes_widget.SetCurrentRenderer(self)\\n else:\\n self.add_axes()\\n self.Modified()\",\n \"def one_data_figure_sep(obs, fig, subplot_spec=None, **kwargs):\\n if subplot_spec is None:\\n gs = gridspec.GridSpec(2,1,height_ratios = [3,1], hspace=0)\\n else:\\n gs = gridspec.GridSpecFromSubplotSpec(2, 1, hspace=0,\\n subplot_spec=subplot_spec,\\n height_ratios = [3,1])\\n \\n \\n spec = pl.Subplot(fig, gs[0,0])\\n spec.plot(obs['wavelength'], obs['spectrum'], **kwargs)\\n spec.set_ylabel(r'$f_\\\\lambda \\\\times \\\\, C$')\\n pl.setp(spec.get_xticklabels(), visible = False)\\n fig.add_subplot(spec)\\n unc = pl.Subplot(fig, gs[1,0])\\n unc.plot(obs['wavelength'], obs['unc'], **kwargs)\\n unc.set_ylabel(r'$\\\\sigma f_\\\\lambda$')\\n unc.set_xlabel(r'$\\\\lambda (\\\\AA)$')\\n fig.add_subplot(unc)\\n return fig, gs\",\n \"def _update_axes(self):\\n data_shape = self.data.shape\\n if len(self.axes) < self.data.ndim + 1:\\n self._axes.append(Axis())\\n for index in range(self.data.ndim):\\n if len(self.axes[index].values) != data_shape[index]:\\n self.axes[index].values = np.arange(data_shape[index],\\n dtype=np.float64)\",\n \"def get_ax(rows=1, cols=1, size=16):\\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\\n return ax\",\n \"def get_ax(rows=1, cols=1, size=16):\\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\\n return ax\",\n \"def _add_cluster_subplot(grid, position, y_label, colspan=1):\\n config = load_config(None, join(get_common(), 'config.cfg'))\\n plot_width = config.getint('common', 'plot_width')\\n subplot = plt.subplot2grid(grid, position, colspan=colspan)\\n subplot.set_ylabel(y_label)\\n subplot.set_xlabel('number of clusters')\\n subplot.set_xlim([-3, plot_width + 3])\\n subplot.set_ylim([-0.05, 1.05])\\n return subplot\",\n \"def get_ax(rows=1, cols=1, size=16):\\n size = 5\\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\\n return ax\",\n \"def get_ax(rows=1, cols=1, size=16):\\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\\n return ax\",\n \"def get_ax(rows=1, cols=1, size=16):\\n _, ax = plt.subplots(rows, cols, figsize=(size*cols, size*rows))\\n return ax\",\n \"def __draw(self):\\n plt.rcParams.update(self.settings.rcParams)\\n\\n self.fig = plt.figure()\\n self.ax = self.fig.add_axes(self.axes_rect)\\n\\n xs = np.arange(1, self.xmax+1)\\n ys = [np.arange(0, self.ymax) for i in range(self.xmax)]\\n\\n self.ax.plot(xs, ys)\\n\\n self.__draw_xaxis()\\n self.__draw_yaxis()\\n\\n self.__draw_annotations()\\n self.__draw_eras()\\n self.__draw_era_spans()\\n self.__draw_watermark()\\n self.__draw_title()\\n self.__draw_image()\\n self.__draw_max_age()\\n\\n self.ax.set_aspect('equal', share=True)\",\n \"def _share_setup(self):\\n # Panel axes sharing, between main subplot and its panels\\n def shared(paxs):\\n return [\\n pax for pax in paxs\\n if not pax._panel_filled and pax._panel_share\\n ]\\n\\n if not self._panel_side: # this is a main axes\\n # Top and bottom\\n bottom = self\\n paxs = shared(self._bpanels)\\n if paxs:\\n bottom = paxs[-1]\\n for iax in (self, *paxs[:-1]):\\n # parent is *bottom-most* panel\\n iax._sharex_setup(bottom, 3)\\n paxs = shared(self._tpanels)\\n for iax in paxs:\\n iax._sharex_setup(bottom, 3)\\n # Left and right\\n left = self\\n paxs = shared(self._lpanels)\\n if paxs:\\n left = paxs[0]\\n for iax in (*paxs[1:], self):\\n iax._sharey_setup(left, 3) # parent is *bottom-most* panel\\n paxs = shared(self._rpanels)\\n for iax in paxs:\\n iax._sharey_setup(left, 3)\\n\\n # Main axes, sometimes overrides panel axes sharing\\n # TODO: This can get very repetitive, but probably minimal impact?\\n # Share x axes\\n parent, *children = self._get_extent_axes('x')\\n for child in children:\\n child._sharex_setup(parent)\\n # Share y axes\\n parent, *children = self._get_extent_axes('y')\\n for child in children:\\n child._sharey_setup(parent)\",\n \"def assemblePlot(self):\\n self.clearPlot()\\n self.axes = self.figure.add_subplot(111)\\n\\n # Reset handles\\n self._fluxOverlayHandles = []\\n self._magneticAxisHandle = None\\n self._orbitHandles = []\\n self._separatrixOverlayHandle = None\\n self._wallCrossSectionOverlayHandle = None\\n\\n # Plot image\\n self.plotEq()\\n\\n # Plot overlays\\n self.plotOverlays()\\n\\n self.adjustAxes()\",\n \"def get_ax(rows=1, cols=1, size=32):\\n _, ax = plt.subplots(rows, cols, figsize=(size * cols, size * rows))\\n return ax\",\n \"def show_figure_grid(fig: object, figx: int=10, figy: int=10) -> object:\\n \\n backGrid = fig.figure_handle.add_axes([0, 0, 1, 1], frameon=False)\\n backGrid.set_ylim(0.0, figy)\\n backGrid.set_xlim(0.0, figx)\\n backGrid.grid(True)\\n\\n backGrid.set_yticks(np.arange(0.0, figy + 0.01, 1.0))\\n backGrid.set_yticks(np.arange(0.0, figy + 0.01, 0.1), minor=True)\\n backGrid.set_xticks(np.arange(0.0, figx + 0.01, 1.0))\\n backGrid.set_xticks(np.arange(0.0, figx + 0.01, 0.1), minor=True)\\n # backGrid.get_xaxis().set_minor_locator(matplotlib.ticker.AutoMinorLocator())\\n # backGrid.get_yaxis().set_minor_locator(matplotlib.ticker.AutoMinorLocator())\\n backGrid.grid(visible=True, which=\\\"major\\\", color=\\\"g\\\", alpha=0.5, linewidth=0.8)\\n backGrid.grid(visible=True, which=\\\"minor\\\", color=\\\"g\\\", alpha=0.3, linewidth=0.2)\\n return backGrid\",\n \"def figures(self):\\n if np.size(self.iceicehorizons_depth1)>0:\\n fig, ax = mpl.subplots()\\n if self.site1.archive == 'icecore':\\n mpl.xlabel(self.site1.label+' ice age (yr b1950)')\\n else:\\n mpl.xlabel(self.site1.label+' age (yr b1950)')\\n if self.site2.archive == 'icecore':\\n mpl.ylabel(self.site2.label+' ice age (yr b1950)')\\n else:\\n mpl.ylabel(self.site2.label+' age (yr b1950)')\\n if np.size(self.iceicehorizons_depth1) > 0:\\n if pccfg.show_initial:\\n mpl.plot(self.site1.fct_age_init(self.iceicehorizons_depth1),\\n self.site2.fct_age_init(self.iceicehorizons_depth2),\\n color=pccfg.color_init, linestyle='', marker='o', markersize=2,\\n label=\\\"Initial\\\")\\n mpl.plot(self.site1.fct_age_model(self.iceicehorizons_depth1),\\n self.site2.fct_age_model(self.iceicehorizons_depth2),\\n color=pccfg.color_mod, linestyle='', marker='o', markersize=2,\\n label=\\\"Prior\\\")\\n mpl.errorbar(self.site1.fct_age(self.iceicehorizons_depth1),\\n self.site2.fct_age(self.iceicehorizons_depth2), color=pccfg.color_opt,\\n xerr=np.zeros(np.size(self.iceicehorizons_depth1)),\\n linestyle='', marker='o', markersize=2,\\n label=\\\"Posterior\\\")\\n xstart = self.site1.fct_age(self.iceicehorizons_depth1)-self.iceicehorizons_sigma/2\\n ystart = self.site2.fct_age(self.iceicehorizons_depth2)+self.iceicehorizons_sigma/2\\n for i in range(np.size(self.iceicehorizons_depth1)):\\n mpl.arrow(xstart[i], ystart[i], self.iceicehorizons_sigma[i],\\n -self.iceicehorizons_sigma[i], color=pccfg.color_opt,\\n width=0.0, head_length=0.0, head_width=0.0)\\n x_low, x_up, y_low, y_up = mpl.axis()\\n# x_low = self.site1.age_top\\n# y_low = self.site2.age_top\\n# mpl.axis((x_low, x_up, y_low, y_up))\\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement', zorder=0)\\n mpl.legend(loc=\\\"best\\\")\\n ax.set_aspect('equal')\\n if self.site1.archive == 'icecore' and self.site2.archive == 'icecore':\\n printed_page = PdfPages(pccfg.datadir+self.label+'/ice_ice_synchro.pdf')\\n elif self.site1.archive == 'icecore' or self.site2.archive == 'icecore':\\n printed_page = PdfPages(pccfg.datadir+self.label+'/ice_synchro.pdf')\\n else:\\n printed_page = PdfPages(pccfg.datadir+self.label+'/synchro.pdf')\\n printed_page.savefig(fig)\\n printed_page.close()\\n if not pccfg.show_figures:\\n mpl.close()\\n\\n if self.site1.archive == 'icecore' and self.site2.archive == 'icecore':\\n if np.size(self.airairhorizons_depth1)>0:\\n fig, ax = mpl.subplots()\\n mpl.xlabel(self.site1.label+' air age (yr b1950)')\\n mpl.ylabel(self.site2.label+' air age (yr b1950)')\\n if np.size(self.airairhorizons_depth1) > 0:\\n if pccfg.show_initial:\\n mpl.plot(self.site1.fct_airage_init(self.airairhorizons_depth1),\\n self.site2.fct_airage_init(self.airairhorizons_depth2),\\n color=pccfg.color_init,\\n linestyle='',\\n marker='o', markersize=2, label=\\\"Initial\\\")\\n mpl.plot(self.site1.fct_airage_model(self.airairhorizons_depth1),\\n self.site2.fct_airage_model(self.airairhorizons_depth2),\\n color=pccfg.color_mod,\\n linestyle='', marker='o', markersize=2,\\n label=\\\"Prior\\\")\\n mpl.errorbar(self.site1.fct_airage(self.airairhorizons_depth1),\\n self.site2.fct_airage(self.airairhorizons_depth2),\\n color=pccfg.color_opt,\\n xerr=np.zeros_like(self.airairhorizons_sigma),\\n linestyle='', marker='o', markersize=2,\\n label=\\\"Posterior\\\")\\n xstart = self.site1.fct_airage(self.airairhorizons_depth1)-\\\\\\n self.airairhorizons_sigma/2\\n ystart = self.site2.fct_airage(self.airairhorizons_depth2)+\\\\\\n self.airairhorizons_sigma/2\\n for i in range(np.size(self.airairhorizons_depth1)):\\n mpl.arrow(xstart[i], ystart[i], self.airairhorizons_sigma[i],\\n -self.airairhorizons_sigma[i], color=pccfg.color_opt,\\n width=0.0, head_length=0.0, head_width=0.0)\\n x_low, x_up, y_low, y_up = mpl.axis()\\n# x_low = self.site1.age_top\\n# y_low = self.site2.age_top\\n# mpl.axis((x_low, x_up, y_low, y_up))\\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement',\\n zorder=0)\\n mpl.legend(loc=\\\"best\\\")\\n ax.set_aspect('equal')\\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_air_synchro.pdf')\\n printed_page.savefig(fig)\\n printed_page.close()\\n if not pccfg.show_figures:\\n mpl.close()\\n\\n if self.site2.archive == 'icecore':\\n if np.size(self.iceairhorizons_depth1)>0:\\n fig, ax = mpl.subplots()\\n if self.site1.archive == 'icecore':\\n mpl.xlabel(self.site1.label+' ice age (yr b1950)')\\n else:\\n mpl.xlabel(self.site1.label+' age (yr b1950)')\\n mpl.ylabel(self.site2.label+' air age (yr b1950)')\\n if np.size(self.iceairhorizons_depth1) > 0:\\n if pccfg.show_initial:\\n mpl.plot(self.site1.fct_age_init(self.iceairhorizons_depth1),\\n self.site2.fct_airage_init(self.iceairhorizons_depth2),\\n color=pccfg.color_init,\\n linestyle='',\\n marker='o', markersize=2, label=\\\"Initial\\\")\\n mpl.plot(self.site1.fct_age_model(self.iceairhorizons_depth1),\\n self.site2.fct_airage_model(self.iceairhorizons_depth2),\\n color=pccfg.color_mod,\\n linestyle='', marker='o', markersize=2,\\n label=\\\"Prior\\\")\\n mpl.errorbar(self.site1.fct_age(self.iceairhorizons_depth1),\\n self.site2.fct_airage(self.iceairhorizons_depth2),\\n color=pccfg.color_opt,\\n xerr=np.zeros_like(self.iceairhorizons_sigma),\\n linestyle='', marker='o', markersize=2,\\n label=\\\"Posterior\\\")\\n xstart = self.site1.fct_age(self.iceairhorizons_depth1)-\\\\\\n self.iceairhorizons_sigma/2\\n ystart = self.site2.fct_airage(self.iceairhorizons_depth2)+\\\\\\n self.iceairhorizons_sigma/2\\n for i in range(np.size(self.iceairhorizons_depth1)):\\n mpl.arrow(xstart[i], ystart[i], self.iceairhorizons_sigma[i],\\n -self.iceairhorizons_sigma[i], color=pccfg.color_opt,\\n width=0.0, head_length=0.0, head_width=0.0) \\n x_low, x_up, y_low, y_up = mpl.axis()\\n# x_low = self.site1.age_top\\n# y_low = self.site2.age_top\\n# mpl.axis((x_low, x_up, y_low, y_up))\\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement',\\n zorder=0)\\n mpl.legend(loc=\\\"best\\\")\\n ax.set_aspect('equal')\\n if self.site1.archive == 'icecore':\\n printed_page = PdfPages(pccfg.datadir+self.label+'/ice_air_synchro.pdf')\\n else:\\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_synchro.pdf')\\n printed_page.savefig(fig)\\n printed_page.close()\\n if not pccfg.show_figures:\\n mpl.close()\\n\\n if self.site1.archive == 'icecore':\\n if np.size(self.airicehorizons_depth1)>0:\\n fig, ax = mpl.subplots()\\n mpl.xlabel(self.site1.label+' air age (yr b1950)')\\n if self.site2.archive == 'icecore':\\n mpl.ylabel(self.site2.label+' ice age (yr b1950)')\\n else:\\n mpl.ylabel(self.site2.label+' age (yr b1950)')\\n if np.size(self.airicehorizons_depth1) > 0:\\n if pccfg.show_initial:\\n mpl.plot(self.site1.fct_airage_init(self.airicehorizons_depth1),\\n self.site2.fct_age_init(self.airicehorizons_depth2),\\n color=pccfg.color_init,\\n linestyle='', marker='o', markersize=2, label=\\\"Initial\\\")\\n mpl.plot(self.site1.fct_airage_model(self.airicehorizons_depth1),\\n self.site2.fct_age_model(self.airicehorizons_depth2),\\n color=pccfg.color_mod,\\n linestyle='', marker='o', markersize=2,\\n label=\\\"Prior\\\")\\n mpl.errorbar(self.site1.fct_airage(self.airicehorizons_depth1),\\n self.site2.fct_age(self.airicehorizons_depth2),\\n color=pccfg.color_opt,\\n xerr=np.zeros_like(self.airicehorizons_sigma),\\n linestyle='', marker='o', markersize=2,\\n label=\\\"Posterior\\\")\\n xstart = self.site1.fct_airage(self.airicehorizons_depth1)-\\\\\\n self.airicehorizons_sigma/2\\n ystart = self.site2.fct_age(self.airicehorizons_depth2)+\\\\\\n self.airicehorizons_sigma/2\\n for i in range(np.size(self.airicehorizons_depth1)):\\n mpl.arrow(xstart[i], ystart[i], self.airicehorizons_sigma[i],\\n -self.airicehorizons_sigma[i], color=pccfg.color_opt,\\n width=0.0, head_length=0.0, head_width=0.0)\\n x_low, x_up, y_low, y_up = mpl.axis()\\n# x_low = self.site1.age_top\\n# y_low = self.site2.age_top\\n# mpl.axis((x_low, x_up, y_low, y_up))\\n rangefig = np.array([min(x_low, y_low), max(x_up, y_up)])\\n mpl.plot(rangefig, rangefig, color=pccfg.color_obs, label='perfect agreement')\\n mpl.legend(loc=\\\"best\\\")\\n ax.set_aspect('equal')\\n if self.site2.archive == 'icecore':\\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_ice_synchro.pdf')\\n else:\\n printed_page = PdfPages(pccfg.datadir+self.label+'/air_synchro.pdf')\\n printed_page.savefig(fig)\\n printed_page.close()\\n if not pccfg.show_figures:\\n mpl.close()\",\n \"def create_fig_ax(ax, **kwargs):\\n if ax is None:\\n fig, ax = plt.subplots(**kwargs)\\n else:\\n fig = ax.get_figure()\\n return fig, ax\",\n \"def make_frame(nbinx, nbiny, title='',d_beg='',d_end='',ylow='',yup='',maxticks='',dates = False):\\n\\n aax = (1,) * nbinx\\n ax = (aax,) * nbiny\\n\\n f, (ax) = plt.subplots(nbinx,nbiny, sharex=True, sharey=True)\\n f.suptitle(title)\\n \\n f.subplots_adjust(hspace=0.05)\\n f.subplots_adjust(wspace=0.05)\\n f.subplots_adjust(top=0.95)\\n f.subplots_adjust(right=0.95)\\n f.subplots_adjust(left=0.05) \\n if dates:\\n f.autofmt_xdate(bottom=0.1, rotation=90, ha='right') \\n\\n # --- customize x and y range and number of ticks\\n\\n if nbinx==1 and nbiny==1:\\n ax = [[ax]] # cast ax into an array to make the operations consistent\\n if d_beg != '' and d_end != '':\\n for axx in ax:\\n\\n dlim = [d_beg,d_end]\\n for axxx in axx:\\n axxx.set_autoscalex_on(False)\\n axxx.set_xlim(dlim)\\n\\n if ylow != '' and yup != '':\\n print(' setting up y scale ',ylow,yup, title)\\n for axx in ax:\\n\\n ylim = [ylow,yup]\\n for axxx in axx:\\n axxx.set_ylim(ylim) \\n\\n if maxticks != '':\\n for axx in ax:\\n for axxx in axx: \\n axxx.xaxis.set_major_locator(plt.MaxNLocator(maxticks))\\n \\n #for a single frame ax is a scalar. put it back.. \\n if nbinx==1 and nbiny==1:\\n ax = ax[0][0] \\n return f,(ax)\",\n \"def alty(self, **kwargs):\\n if self._alty_child or self._alty_parent:\\n raise RuntimeError('No more than *two* twin axes are allowed.')\\n with self.figure._authorize_add_subplot():\\n ax = self._make_twin_axes(sharex=self, projection='xy')\\n ax.set_autoscalex_on(self.get_autoscalex_on())\\n ax.grid(False)\\n self._alty_child = ax\\n ax._alty_parent = self\\n self._alty_overrides()\\n ax._alty_overrides()\\n self.add_child_axes(ax) # to facilitate tight layout\\n self.figure._axstack.remove(ax) # or gets drawn twice!\\n ax.format(**_parse_alt('y', kwargs))\\n return ax\",\n \"def _newax(ax=None):\\n from matplotlib import pyplot as plt\\n if ax is not None:\\n return ax\\n fig = plt.figure()\\n ax = fig.add_subplot(1, 1, 1)\\n return ax\",\n \"def plots(corpus_parts, corpus):\\n \\\"\\\"\\\"\\n given the data obtained by the function percentage_hapaxes(dv_corpus, tokenized_corpus),\\n the graphic for the percentage of hapaxes per partition is plotted\\n \\\"\\\"\\\"\\n h_parts = hapaxes_parts(corpus_parts)\\n part_size = [x for x in range(len(h_parts))]\\n \\n percent_h = percentage_hapaxes(corpus_parts, corpus)\\n percent_length = [i for i in range(len(percent_h))] \\n \\n fig, (ax1, ax2) = plt.subplots(1, 2)\\n plt.setp(ax1, xticks=np.arange(0, len(part_size), 1))\\n plt.setp(ax2, xticks=np.arange(0, len(percent_length), 1))\\n fig.suptitle('Number (left) and percentage (right) of hapaxes in each part')\\n ax1.bar(part_size, h_parts)\\n ax2.bar(percent_length, percent_h) \\n return plt.show()\",\n \"def plot(self) -> List[matplotlib.figure.Figure]:\\n figs = []\\n\\n title_prefix = self.trial_name + ' ' + self.segment_name + ' '\\n # Figure 1, position in 3 subplots\\n pos_fig_sub = self.plot_subplots(self.fig_num_start, title_prefix + 'Position (mm)', self.pos_raw,\\n self.pos_smooth, self.pos_legend)\\n figs.append(pos_fig_sub)\\n\\n # Figure 2, orientation in 3 subplots\\n eul_fig_sub = self.plot_subplots(self.fig_num_start + 1, title_prefix + 'Euler Angles (deg)', self.eul_raw,\\n self.eul_smooth, self.euler_legend)\\n figs.append(eul_fig_sub)\\n\\n # Figure 3, velocity in 3 subplots\\n vel_fig_sub = self.plot_subplots_vel(self.fig_num_start + 2, title_prefix + 'Velocity', 'Velocity (mm/s)',\\n self.vel)\\n figs.append(vel_fig_sub)\\n\\n # Figure 4, angular velocity in 3 subplots\\n ang_vel_fig_sub = self.plot_subplots_vel(self.fig_num_start + 3, title_prefix + 'Angular Velocity',\\n 'Angular Velocity (deg/s)', self.ang_vel)\\n figs.append(ang_vel_fig_sub)\\n\\n # Figure 5, position in one axes\\n pos_fig_one = self.plot_one_axes(self.fig_num_start + 4, title_prefix + 'Position', 'Position (mm)',\\n self.pos_raw, self.pos_smooth, self.pos_legend)\\n figs.append(pos_fig_one)\\n\\n # Figure 6, orientation in one axes\\n eul_fig_one = self.plot_one_axes(self.fig_num_start + 5, title_prefix + 'Euler Angles', 'Angle (deg)',\\n self.eul_raw, self.eul_smooth, self.euler_legend)\\n figs.append(eul_fig_one)\\n\\n # Figure 7, velocity in one axes\\n vel_fig_one = self.plot_one_axes_vel(self.fig_num_start + 6, title_prefix + 'Velocity', 'Velocity (mm/s)',\\n self.vel, self.pos_legend)\\n figs.append(vel_fig_one)\\n\\n # Figure 8, angular velocity in one axes\\n ang_vel_fig_one = self.plot_one_axes_vel(self.fig_num_start + 7, title_prefix + 'Angular Velocity',\\n 'Angular Velocity (deg/s)', self.ang_vel, self.pos_legend)\\n figs.append(ang_vel_fig_one)\\n\\n return figs\",\n \"def figure7():\\n\\n plot_settings = {'y_limits': [-100, 30],\\n 'x_limits': None,\\n 'y_ticks': [-80, -60, -40, -20, 0, 20],\\n 'locator_size': 10,\\n 'y_label': 'Voltage (mV)',\\n 'x_ticks': [],\\n 'scale_size': 50,\\n 'x_label': \\\"\\\",\\n 'scale_loc': 3,\\n 'figure_name': 'figure_7',\\n 'legend': None,\\n 'legend_size': 8,\\n 'y_on': True}\\n\\n marker = ['o', 's', '^']\\n line_styles = ['-', 'dotted', '--']\\n\\n plt.figure(figsize=(5, 3), dpi=96)\\n\\n plt.subplot(2, 1, 1) # Generate subplot 1 (top)\\n t, y = solver(250, i_bias_on=2, duration=260)\\n plt.plot(t, y[:, 0], 'k-')\\n alter_figure(plot_settings)\\n\\n plt.subplot(2, 1, 2) # Generate subplot 2 (bottom)\\n for ix, i_bias_on in enumerate([2, 1.5, 1]):\\n t, y = solver(250, i_bias_on=i_bias_on, duration=260)\\n t_spike, f = spike_times(t, y[:, 0])\\n plt.plot(t_spike[0:-1], f, c='k', linestyle=line_styles[ix], marker=marker[ix], fillstyle='none')\\n\\n plot_settings['y_limits'] = [20, 40]\\n plot_settings['y_ticks'] = [20, 25, 30, 35, 40]\\n plot_settings['locator_size'] = 2.5\\n plot_settings['y_label'] = 'Frequency (Hz)'\\n plot_settings['legend'] = ['2.0 nA', '1.5 nA', '1.0 nA']\\n plot_settings['scale_size'] = 0\\n plot_settings['legend_location'] = 4\\n alter_figure(plot_settings, close=True)\",\n \"def createFigure(self):\\n\\n SMALL_SIZE = 14\\n MEDIUM_SIZE = 18\\n BIGGER_SIZE = 36\\n\\n plt.rc('font', size=SMALL_SIZE) # controls default text sizes\\n plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title\\n plt.rc('axes', labelsize=MEDIUM_SIZE) # fontsize of the x and y labels\\n plt.rc('xtick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels\\n plt.rc('ytick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels\\n plt.rc('legend', fontsize=SMALL_SIZE) # legend fontsize\\n plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title\\n\\n fig, axes = plt.subplots()\\n fig.set_size_inches(10, 6, forward=True)\\n serialNumber = self.spectrometer.getSerialNumber()\\n model = self.spectrometer.model\\n fig.canvas.manager.set_window_title('Spectrometer [serial # {0}, model {1}]'.format(serialNumber, model))\\n axes.set_xlabel(\\\"Wavelength [nm]\\\")\\n axes.set_ylabel(\\\"Intensity [arb.u]\\\")\\n return fig, axes\",\n \"def subplot(\\r\\n self,\\r\\n data: bool = False,\\r\\n noise_map: bool = False,\\r\\n signal_to_noise_map: bool = False,\\r\\n model_data: bool = False,\\r\\n residual_map: bool = False,\\r\\n normalized_residual_map: bool = False,\\r\\n chi_squared_map: bool = False,\\r\\n auto_filename: str = \\\"subplot_fit\\\",\\r\\n ):\\r\\n self._subplot_custom_plot(\\r\\n data=data,\\r\\n noise_map=noise_map,\\r\\n signal_to_noise_map=signal_to_noise_map,\\r\\n model_image=model_data,\\r\\n residual_map=residual_map,\\r\\n normalized_residual_map=normalized_residual_map,\\r\\n chi_squared_map=chi_squared_map,\\r\\n auto_labels=AutoLabels(filename=auto_filename),\\r\\n )\",\n \"def change_axes_geometry_stack(fig, ax, naxes):\\n for ii in range(len(ax)):\\n geometry = (naxes, 1, ii + 1)\\n if ax[ii].get_geometry() != geometry:\\n ax[ii].change_geometry(*geometry)\\n\\n for ii in np.arange(len(ax), naxes):\\n print('adding axis ', ii)\\n fig.add_subplot(naxes, 1, ii + 1)\\n\\n ax = fig.axes\\n return fig, ax\",\n \"def makeQuadSubplots(df_rad_obs, \\n df_dir_obs, \\n df_rad_sen, \\n df_dir_sen, \\n suptitle='Big title',\\n eps=3, \\n min_samples=50):\\n fig, axs = plt.subplots(2, 2, \\n figsize=(10,10)\\n )\\n\\n fig.suptitle('Clustering Output', fontsize=20)\\n\\n populateSubPlot(df=df_rad_obs,\\n eps=eps, \\n min_samples=min_samples,\\n fig=fig, \\n axs=axs, \\n row=0, \\n col=0, title='Obsever Wards Radiant')\\n\\n\\n populateSubPlot(df=df_dir_obs, \\n eps=eps, \\n min_samples=min_samples,\\n fig=fig, \\n axs=axs, \\n row=0, \\n col=1, title='Obsever Wards Dire')\\n\\n\\n populateSubPlot(df=df_rad_sen, \\n eps=eps, \\n min_samples=min_samples,\\n fig=fig, \\n axs=axs, \\n row=1, \\n col=0, title='Sentry Wards Radiant')\\n\\n populateSubPlot(df=df_dir_sen, \\n eps=eps, \\n min_samples=min_samples,\\n fig=fig, \\n axs=axs, \\n row=1, \\n col=1, title='Sentry Wards Dire')\\n \\n \\n return fig, axs\",\n \"def plot_subplots(x_list, y_list, z_list):\\n # create a line chart with the average rating of the top movies per year\\n # min rating = 0 and max = 10\\n plot1 = plt.subplot(211)\\n plt.plot(x_list, y_list, color = 'lightseagreen')\\n plt.axis([START_YEAR, END_YEAR - 1, 0, 10])\\n plt.title('Average IMDB Movie Rating per Year', fontsize=12)\\n plt.ylabel('Average Rating')\\n plt.grid(True)\\n\\n # make x ticklabels of plot1 invisible\\n plt.setp(plot1.get_xticklabels(), visible=False)\\n\\n # adjust space between subplots\\n plt.subplots_adjust(hspace=0.3)\\n\\n # create a line chart with the average runtime with shared x-axis\\n plot2 = plt.subplot(212, sharex=plot1)\\n plt.plot(x_list, z_list, color = 'lightseagreen')\\n plt.title('Average IMDB Movie Runtime per Year', fontsize=12)\\n plt.ylabel('Average Runtime (min)')\\n plt.grid(True)\\n\\n # define axes, with all years (2008 till 2017) on the x-axis\\n # min runtime = 0, max runtime = 180\\n plt.axis([START_YEAR, END_YEAR - 1, 0, 180])\\n plt.xticks(x_list)\\n plt.xlabel('Year')\\n\\n # plot both the subplots\\n plt.show()\",\n \"def _add_new_ax(self, name=None):\\n if name in self.ax_names:\\n return self.get_ax_by_name(name)\\n\\n self.ncols += 1\\n for i, (ax, ax_name) in enumerate(zip(self.fig.axes, self.ax_names)):\\n #print(f'Changing ax {ax_name} geom to: {(1,self.ncols,i+1)}')\\n ax.change_geometry(1, self.ncols, i+1)\\n\\n new_ax = self.fig.add_subplot(1, self.ncols, self.ncols)\\n self.ax.append(new_ax)\\n self.ax_names.append(name)\\n\\n return new_ax\",\n \"def plot2axes(self, axes: plt.Axes, width: float | int = 1) -> None:\\n for idx, line in enumerate(self.marker_lines):\\n line.plot2axes(axes, width, color=self.bg_color[idx])\",\n \"def add_rotated_axis(f, extents=(-1, 1, 0, 1), sc_x=None, sc_y=None,\\n rotation=45, position=(.5, .5, .1, .1),\\n invisible_border=True):\\n af = Affine2D()\\n transform = af.scale(sc_x, sc_y).rotate_deg(rotation)\\n helper = floating_axes.GridHelperCurveLinear(transform, extents)\\n ax = floating_axes.FloatingSubplot(f, 111, grid_helper=helper)\\n ax_aux = ax.get_aux_axes(transform)\\n f.add_subplot(ax)\\n ax.set_position(position)\\n ax.invert_xaxis()\\n\\n if invisible_border is True:\\n # Strip axis elements\\n ax.patch.set(visible=False)\\n for axis in ax.axis.values():\\n axis.set_visible(False)\\n\\n return ax, ax_aux\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.75483835","0.69776756","0.6920952","0.6792715","0.6734505","0.67272097","0.6658397","0.65871996","0.6570815","0.6514838","0.64744306","0.6344331","0.6338495","0.6338495","0.6338495","0.6302795","0.6281416","0.6270343","0.6264229","0.62637293","0.6255154","0.6236712","0.62184274","0.6186897","0.61654055","0.6143037","0.61289173","0.6124079","0.60945094","0.60613894","0.605767","0.6055342","0.60486865","0.6020366","0.59955615","0.5994914","0.5979007","0.59462047","0.59213096","0.5919712","0.5917855","0.5913373","0.5895629","0.5894967","0.5881231","0.588059","0.587299","0.5857417","0.5850622","0.5850527","0.58291614","0.581591","0.580388","0.5802825","0.579698","0.5787676","0.5774288","0.5760265","0.5753451","0.57340515","0.5731099","0.5730021","0.5724319","0.5720464","0.5719268","0.57179874","0.5714657","0.5709151","0.5709151","0.5700377","0.56896114","0.5666812","0.5653488","0.5632866","0.5632866","0.5632099","0.5630578","0.5619918","0.5619918","0.5619297","0.56146","0.5596572","0.5580994","0.55793136","0.5578921","0.5556231","0.5549778","0.5548228","0.55460304","0.5539533","0.55346483","0.5524323","0.552046","0.55181545","0.55157137","0.55113447","0.5509778","0.5508655","0.55072725","0.5505714"],"string":"[\n \"0.75483835\",\n \"0.69776756\",\n \"0.6920952\",\n \"0.6792715\",\n \"0.6734505\",\n \"0.67272097\",\n \"0.6658397\",\n \"0.65871996\",\n \"0.6570815\",\n \"0.6514838\",\n \"0.64744306\",\n \"0.6344331\",\n \"0.6338495\",\n \"0.6338495\",\n \"0.6338495\",\n \"0.6302795\",\n \"0.6281416\",\n \"0.6270343\",\n \"0.6264229\",\n \"0.62637293\",\n \"0.6255154\",\n \"0.6236712\",\n \"0.62184274\",\n \"0.6186897\",\n \"0.61654055\",\n \"0.6143037\",\n \"0.61289173\",\n \"0.6124079\",\n \"0.60945094\",\n \"0.60613894\",\n \"0.605767\",\n \"0.6055342\",\n \"0.60486865\",\n \"0.6020366\",\n \"0.59955615\",\n \"0.5994914\",\n \"0.5979007\",\n \"0.59462047\",\n \"0.59213096\",\n \"0.5919712\",\n \"0.5917855\",\n \"0.5913373\",\n \"0.5895629\",\n \"0.5894967\",\n \"0.5881231\",\n \"0.588059\",\n \"0.587299\",\n \"0.5857417\",\n \"0.5850622\",\n \"0.5850527\",\n \"0.58291614\",\n \"0.581591\",\n \"0.580388\",\n \"0.5802825\",\n \"0.579698\",\n \"0.5787676\",\n \"0.5774288\",\n \"0.5760265\",\n \"0.5753451\",\n \"0.57340515\",\n \"0.5731099\",\n \"0.5730021\",\n \"0.5724319\",\n \"0.5720464\",\n \"0.5719268\",\n \"0.57179874\",\n \"0.5714657\",\n \"0.5709151\",\n \"0.5709151\",\n \"0.5700377\",\n \"0.56896114\",\n \"0.5666812\",\n \"0.5653488\",\n \"0.5632866\",\n \"0.5632866\",\n \"0.5632099\",\n \"0.5630578\",\n \"0.5619918\",\n \"0.5619918\",\n \"0.5619297\",\n \"0.56146\",\n \"0.5596572\",\n \"0.5580994\",\n \"0.55793136\",\n \"0.5578921\",\n \"0.5556231\",\n \"0.5549778\",\n \"0.5548228\",\n \"0.55460304\",\n \"0.5539533\",\n \"0.55346483\",\n \"0.5524323\",\n \"0.552046\",\n \"0.55181545\",\n \"0.55157137\",\n \"0.55113447\",\n \"0.5509778\",\n \"0.5508655\",\n \"0.55072725\",\n \"0.5505714\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6709672"},"document_rank":{"kind":"string","value":"6"}}},{"rowIdx":4793,"cells":{"query":{"kind":"string","value":"Construct quadrilateral mesh arrays from two grids. Intended for use with e.g. plt.pcolor."},"document":{"kind":"string","value":"def quad_mesh(x, y, cut_x_edges=False, cut_y_edges=False):\n\n # Get 1d vertex vectors\n xvert = get_1d_vertices(x, cut_edges=cut_x_edges)\n yvert = get_1d_vertices(y, cut_edges=cut_y_edges)\n # Reshape as multidimensional vectors\n xvert = reshape_vector(xvert, dim=2, axis=1)\n yvert = reshape_vector(yvert, dim=2, axis=0)\n # Broadcast up to arrays\n xmesh = xvert * np.ones_like(yvert)\n ymesh = yvert * np.ones_like(xvert)\n\n return xmesh, ymesh"},"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 meshgrid(x,y):\n x = asarray(x)\n y = asarray(y)\n numRows, numCols = len(y), len(x) # yes, reversed\n x = x.reshape(1,numCols)\n X = x.repeat(numRows, axis=0)\n\n y = y.reshape(numRows,1)\n Y = y.repeat(numCols, axis=1)\n return X, Y","def make_meshgrid(x, y, h=.02):\r\n x_min, x_max = x.min() - 1, x.max() + 1\r\n y_min, y_max = y.min() - 1, y.max() + 1\r\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\r\n np.arange(y_min, y_max, h))\r\n return xx, yy","def make_meshgrid(x, y,h=0.02):\n x_min, x_max = x.min() - 1, x.max() + 1\n y_min, y_max = y.min() - 1, y.max() + 1\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def make_meshgrid(x, y, h=.02):\r\n x_min, x_max = x.min() - 1, x.max() + 1\r\n y_min, y_max = y.min() - 1, y.max() + 1\r\n xx, yy = np.meshgrid(np.arange(x_min,x_max,h),np.arange(y_min,y_max,h))\r\n return xx, yy","def make_meshgrid(x, y, h=.02):\r\n x_min, x_max = x.min() - 1, x.max() + 1\r\n y_min, y_max = y.min() - 1, y.max() + 1\r\n xx, yy = np.meshgrid(np.arange(x_min,x_max,h),np.arange(y_min,y_max,h))\r\n return xx, yy","def make_meshgrid(x, y, h=.02):\n x_min, x_max = x.min() - 1, x.max() + 1\n y_min, y_max = y.min() - 1, y.max() + 1\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def make_meshgrid(x, y, h=.02):\n x_min, x_max = x.min() - 1, x.max() + 1\n y_min, y_max = y.min() - 1, y.max() + 1\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def make_meshgrid(x, y, h=.02):\n x_min, x_max = x.min() - 1, x.max() + 1\n y_min, y_max = y.min() - 1, y.max() + 1\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def make_meshgrid(x, y, h=.02):\n x_min, x_max = x.min() - 1, x.max() + 1\n y_min, y_max = y.min() - 1, y.max() + 1\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def make_meshgrid(x, y, h=0.02):\n space = 0.3\n x_min, x_max = x.min() - space, x.max() + space\n y_min, y_max = y.min() - space, y.max() + space\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def make_meshgrid(x, y, h = 5):\n x_min, x_max = x.min() - 1, x.max() + 1\n y_min, y_max = y.min() - 1, y.max() + 1\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def create_meshgrid(x, y, h=0.015):\n x_min, x_max = x.min() - 1, x.max() + 1\n y_min, y_max = y.min() - 1, y.max() + 1\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def meshgrid(x, y, row_major=True):\n # type: (int, int, bool)->Tensor\n a = torch.arange(0, x)\n b = torch.arange(0, y)\n xx = a.repeat(y).view(-1, 1).float()\n yy = b.view(-1, 1).repeat(1, x).view(-1, 1).float()\n return torch.cat([xx, yy], 1) if row_major else torch.cat([yy, xx], 1)","def make_meshgrid(x_min,x_max,y_min,y_max, h=.02):\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def make_meshgrid(x_min,x_max,y_min,y_max, h=.02):\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n np.arange(y_min, y_max, h))\n return xx, yy","def grid(h, w, dtype=np.float32):\n M = h * w\n x = np.linspace(0, 1, w, dtype=dtype)\n y = np.linspace(0, 1, h, dtype=dtype)\n xx, yy = np.meshgrid(x, y)\n z = np.empty((M, 2), dtype)\n z[:, 0] = xx.reshape(M)\n z[:, 1] = yy.reshape(M)\n return z","def make_grid(self, nx, ny):\n nx_vec = np.arange(nx)\n ny_vec = np.arange(ny)\n yv, xv = np.meshgrid(ny_vec, nx_vec)\n grid = np.stack((yv, xv), axis=2)\n grid = grid.reshape(1, 1, ny, nx, 2)\n return grid","def _create_meshgrid(self):\n x = np.linspace(self.limits[0], self.limits[1], self.resolution)\n y = np.linspace(self.limits[2], self.limits[3], self.resolution)\n X, Y = np.meshgrid(x, y)\n return X, Y","def coordinate_pairs(lat_axis, lon_axis):\n \n lon_mesh, lat_mesh = numpy.meshgrid(lon_axis, lat_axis) # This is the correct order\n \n return lat_mesh.flatten(), lon_mesh.flatten()","def meshgrid(b, convention='Driscoll-Healy'):\n return np.meshgrid(*linspace(b, convention))","def ppcolormesh_from_meshgrid(ax: Axes, x: np.ndarray, y: np.ndarray,\n z: np.ndarray, **kw) -> AxesImage:\n cmap = kw.get('cmap', cm.viridis)\n\n x = x.astype(float)\n y = y.astype(float)\n z = z.astype(float)\n\n # first check if we need to fill some masked values in\n if np.ma.is_masked(x):\n x = x.filled(np.nan)\n if np.ma.is_masked(y):\n y = y.filled(np.nan)\n if np.ma.is_masked(z):\n z = z.filled(np.nan)\n\n # next: try some surgery, if possible\n if np.all(num.is_invalid(x)) or np.all(num.is_invalid(y)):\n return\n if np.any(np.isnan(x)) or np.any(np.isnan(y)):\n x, y = interp_meshgrid_2d(x, y)\n if np.any(num.is_invalid(x)) or np.any(num.is_invalid(y)):\n x, y, z = num.crop2d(x, y, z)\n\n # next, check if the resulting grids are even still plotable\n for g in x, y, z:\n if g.size == 0:\n return\n elif len(g.shape) < 2:\n return\n\n # special case: if we have a single line, a pcolor-type plot won't work.\n elif min(g.shape) < 2:\n im = ax.scatter(x, y, c=z)\n return im\n\n # and finally: the meshgrid we have describes coordinates, but for plotting\n # with pcolormesh we need vertices.\n try:\n x = centers2edges_2d(x)\n y = centers2edges_2d(y)\n except:\n return\n\n im = ax.pcolormesh(x, y, z, cmap=cmap, **kw)\n ax.set_xlim(x.min(), x.max())\n ax.set_ylim(y.min(), y.max())\n return im","def _grid(m, dtype=np.float32):\n M = m**2\n x = np.linspace(0, 1, m, dtype=dtype)\n y = np.linspace(0, 1, m, dtype=dtype)\n xx, yy = np.meshgrid(x, y)\n z = np.empty((M, 2), dtype)\n z[:, 0] = xx.reshape(M)\n z[:, 1] = yy.reshape(M)\n return z","def buildGrid(self, plot=False):\r\n\r\n print(\"Constructing grid\")\r\n # print(\"Grid dims\", self.ne, self.nn, self.nz)\r\n # print(\"Num points\", 2*(self.ne+1)*(self.nn+1)*3, len(self.coords))\r\n\r\n # number of edges\r\n self.ndx = self.ne + 1\r\n self.ndy = self.nn + 1\r\n self.ndz = self.nz + 1\r\n\r\n # extract the triplets\r\n self.points = {}\r\n self.points[\"e\"] = self.coords[0::3]\r\n self.points[\"n\"] = self.coords[1::3]\r\n self.points[\"z\"] = self.coords[2::3]\r\n\r\n print('points e')\r\n print(self.points[\"e\"])\r\n\r\n # Here are the coordinates\r\n self.X0 = np.reshape(self.points[\"e\"][0::2] , (self.ndx,self.ndy), order=\"F\")\r\n self.Y0 = np.reshape(self.points[\"n\"][0::2] , (self.ndx,self.ndy), order=\"F\")\r\n self.Z0 = np.reshape(self.points[\"z\"][0::2] , (self.ndx,self.ndy), order=\"F\")\r\n\r\n self.X1 = np.reshape(self.points[\"e\"][1::2] , (self.ndx,self.ndy), order=\"F\")\r\n self.Y1 = np.reshape(self.points[\"n\"][1::2] , (self.ndx,self.ndy), order=\"F\")\r\n self.Z1 = np.reshape(self.points[\"z\"][1::2] , (self.ndx,self.ndy), order=\"F\")\r\n #\r\n # # visualize\r\n # if plot:\r\n # print(\"plotting\")\r\n # fig = plt.figure()\r\n # ax = fig.add_subplot(111, projection='3d')\r\n # ax.plot_wireframe(f2m*self.X0, f2m*self.Y0, f2m*self.Z0, rstride=1, cstride=1)\r\n # ax.plot_wireframe(f2m*self.X1, f2m*self.Y1, f2m*self.Z1, rstride=1, cstride=1)\r\n # plt.show()\r","def ndgrid(*args,**kwargs):\n kwargs['indexing'] = 'ij'\n return meshgrid(*args,**kwargs)","def mesh_grid(self,width,height):\n # get\n \n x_linspace=tf.linspace(-self.cx_,1-self.cx_,width)\n y_linspace=tf.linspace(-self.cy_,1-self.cy_,height)\n \n# x_cord,y_cord=tf.meshgrid(x_linspace,y_linspace)\n y_cord,x_cord=tf.meshgrid(y_linspace,x_linspace)\n \n \n x_cord=tf.reshape(x_cord,[-1])\n y_cord=tf.reshape(y_cord,[-1])\n \n f_=tf.ones_like(x_cord)\n \n x_=tf.div(x_cord,self.cf)\n y_=tf.div(y_cord,self.cf)\n \n grid=tf.concat([x_,y_,f_],0)\n return grid","def create_mesh_grid(val_loc, linspace, frame=None, method='cubic'):\n locations = val_loc[:,0:2]\n values = val_loc[:,2]\n if frame == None:\n frame = create_frame_for(locations)\n assert len(frame) == 2, \"Precondition violation\"\n assert len(frame[0]) == 2 and len(frame[1]) == 2, \"Preconditio violation\"\n assert frame[0][0] <= frame[0][1] and frame[1][0] <= frame[1][1], \"Precondition violation\"\n assert len(linspace) == 2, \"Precondition violatio\"\n assert linspace[0] > 0 and linspace[1] > 0, \"Precondition violation\"\n assert method in ['cubic','linear','nearest'], \"Precondition violaiton\"\n mesh_X, mesh_Y = np.meshgrid(\n np.linspace(frame[0][0],frame[0][1],linspace[0]),\n np.linspace(frame[1][0],frame[1][1],linspace[1]),\n indexing='xy'\n )\n mesh_Z = scipy.interpolate.griddata(\n locations, values, (mesh_X, mesh_Y), method=method, fill_value=0\n )\n return mesh_X, mesh_Y, mesh_Z","def _setQuadrilaterals(self):\n\n # Make sure arrays are numpy arrays.\n self._lon = np.array(self._lon)\n self._lat = np.array(self._lat)\n self._depth = np.array(self._depth)\n\n # Find the nans, which tells is where the separate polygons/groups are\n group_ends = np.where(np.isnan(self._lon))[0]\n n_groups = len(group_ends)\n\n # Check that arrays are the same length\n if len(self._lon) != len(self._lat) != len(self._depth):\n raise IndexError(\n 'Length of input lon, lat, depth arrays must be equal')\n\n # Construct quads\n group_start = 0\n\n self._quadrilaterals = []\n self._group_index = []\n groupind = 0\n for i in range(n_groups):\n lonseg = self._lon[group_start:group_ends[i]]\n latseg = self._lat[group_start:group_ends[i]]\n depthseg = self._depth[group_start:group_ends[i]]\n\n # Each group can have many contiguous quadrilaterals defined in it\n # separations (nans) between segments mean that segments are not\n # contiguous.\n\n npoints = len(lonseg)\n nquads = int((npoints - 4) / 2) + 1\n quad_start = 0\n quad_end = -1\n for j in range(nquads):\n P0 = Point(lonseg[quad_start],\n latseg[quad_start],\n depthseg[quad_start])\n P1 = Point(lonseg[quad_start + 1],\n latseg[quad_start + 1],\n depthseg[quad_start + 1])\n P2 = Point(lonseg[quad_end - 1],\n latseg[quad_end - 1],\n depthseg[quad_end - 1])\n P3 = Point(lonseg[quad_end],\n latseg[quad_end],\n depthseg[quad_end])\n quad = [P0, P1, P2, P3]\n\n # Enforce plane by moving P2 -- already close because of check\n # in read_rupture_file/is_quadrupture_class/is_quad\n\n dummy, fixed_quad = is_quad(quad)\n\n # Reverse quad if necessary\n fixed_quad = self._fixStrikeDirection(fixed_quad)\n\n self._quadrilaterals.append(fixed_quad)\n\n quad_start = quad_start + 1\n quad_end = quad_end - 1\n\n group_start = group_ends[i] + 1\n self._group_index.extend([groupind] * nquads)\n groupind = groupind + 1","def grid_coordinates(r, xlim, ylim, shape='square'):\n if shape == 'square':\n dx = r\n dy = r\n if shape == 'hexagonal':\n dx = r\n dy = np.sqrt(3)*dx/2.\n x = np.arange(xlim[0], xlim[1], dx)\n y = np.arange(ylim[0], ylim[1], dy)\n X, Y = np.meshgrid(x, y)\n if shape == 'hexagonal':\n X[::2] = X[::2] + dx/2.\n\n return X.flatten(), Y.flatten()","def _build_grid(self):\n n = self.params['n']\n\n x_min, x_max = min(self.node[:, 0]), max(self.node[:, 0])\n y_min, y_max = min(self.node[:, 1]), max(self.node[:, 1])\n xv = np.linspace(x_min, x_max, num=n, endpoint=True)\n yv = np.linspace(y_min, y_max, num=n, endpoint=True)\n xg, yg = np.meshgrid(xv, yv, sparse=False, indexing='xy')\n\n return xg, yg","def get_quad_mesh(q, dx):\n P0, P1, P2, P3 = q\n p0 = Vector.fromPoint(P0) # fromPoint converts to ECEF\n p1 = Vector.fromPoint(P1)\n p2 = Vector.fromPoint(P2)\n p3 = Vector.fromPoint(P3)\n\n # Get nx based on length of top edge, minimum allowed is 2\n toplen_km = get_quad_length(q)\n nx = int(np.max([round(toplen_km / dx, 0) + 1, 2]))\n\n # Get array of points along top and bottom edges\n xfac = np.linspace(0, 1, nx)\n topp = [p0 + (p1 - p0) * a for a in xfac]\n botp = [p3 + (p2 - p3) * a for a in xfac]\n\n # Get ny based on mean length of vectors connecting top and bottom points\n ylen_km = np.ones(nx)\n for i in range(nx):\n ylen_km[i] = (topp[i] - botp[i]).mag() / 1000\n ny = int(np.max([round(np.mean(ylen_km) / dx, 0) + 1, 2]))\n yfac = np.linspace(0, 1, ny)\n\n # Build mesh: dict of ny by nx arrays (x, y, z):\n mesh = {'x': np.zeros([ny, nx]), 'y': np.zeros(\n [ny, nx]), 'z': np.zeros([ny, nx])}\n for i in range(nx):\n mpts = [topp[i] + (botp[i] - topp[i]) * a for a in yfac]\n mesh['x'][:, i] = [a.x for a in mpts]\n mesh['y'][:, i] = [a.y for a in mpts]\n mesh['z'][:, i] = [a.z for a in mpts]\n\n # Make arrays of pixel corners\n mesh['llx'] = mesh['x'][1:, 0:-1]\n mesh['lrx'] = mesh['x'][1:, 1:]\n mesh['ulx'] = mesh['x'][0:-1, 0:-1]\n mesh['urx'] = mesh['x'][0:-1, 1:]\n mesh['lly'] = mesh['y'][1:, 0:-1]\n mesh['lry'] = mesh['y'][1:, 1:]\n mesh['uly'] = mesh['y'][0:-1, 0:-1]\n mesh['ury'] = mesh['y'][0:-1, 1:]\n mesh['llz'] = mesh['z'][1:, 0:-1]\n mesh['lrz'] = mesh['z'][1:, 1:]\n mesh['ulz'] = mesh['z'][0:-1, 0:-1]\n mesh['urz'] = mesh['z'][0:-1, 1:]\n mesh['cpx'] = np.zeros_like(mesh['llx'])\n mesh['cpy'] = np.zeros_like(mesh['llx'])\n mesh['cpz'] = np.zeros_like(mesh['llx'])\n\n # i and j are indices over subruptures\n ni, nj = mesh['llx'].shape\n for i in range(0, ni):\n for j in range(0, nj):\n # Rupture corner points\n pp0 = Vector(\n mesh['ulx'][i, j], mesh['uly'][i, j], mesh['ulz'][i, j])\n pp1 = Vector(\n mesh['urx'][i, j], mesh['ury'][i, j], mesh['urz'][i, j])\n pp2 = Vector(\n mesh['lrx'][i, j], mesh['lry'][i, j], mesh['lrz'][i, j])\n pp3 = Vector(\n mesh['llx'][i, j], mesh['lly'][i, j], mesh['llz'][i, j])\n # Find center of quad\n mp0 = pp0 + (pp1 - pp0) * 0.5\n mp1 = pp3 + (pp2 - pp3) * 0.5\n cp = mp0 + (mp1 - mp0) * 0.5\n mesh['cpx'][i, j] = cp.x\n mesh['cpy'][i, j] = cp.y\n mesh['cpz'][i, j] = cp.z\n return mesh","def make_xy_grid(samples_x, samples_y=None, radius=1):\n if samples_y is None:\n samples_y = samples_x\n x = e.linspace(-radius, radius, samples_x, dtype=config.precision)\n y = e.linspace(-radius, radius, samples_y, dtype=config.precision)\n xx, yy = e.meshgrid(x, y)\n return xx, yy","def _TwoDMeshGrid(self, num_points, lattice_sizes, input_dims):\n if input_dims != 2:\n raise ValueError(\"2-d mesh grid is possible only for 2-d lattice. Lattice\"\n \" dimension given: %s\" % input_dims)\n return test_utils.two_dim_mesh_grid(\n num_points=num_points,\n x_min=0.0,\n y_min=0.0,\n x_max=lattice_sizes - 1.0,\n y_max=lattice_sizes - 1.0)","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 xy_mesh(nx, ny, x_min=0, x_max=1, y_min=0, y_max=1):\n\n\tx = np.linspace(x_min, x_max, nx)\n\ty = np.linspace(y_min, y_max, ny)\n\txv, yv = np.meshgrid(x, y)\n\t\n\treturn xv, yv","def mesh(self):\n return numpy.meshgrid(*self.edges, indexing='ij')","def make_grid(x1_points, **kwargs):\n x2_points = kwargs.pop('x2_points', x1_points)\n x1min = kwargs.pop('x1min', 0.0)\n x1max = kwargs.pop('x1max', 1.0)\n x2min = kwargs.pop('x2min', 0.0)\n x2max = kwargs.pop('x2max', 1.0)\n if kwargs:\n raise TypeError('Unexpected **kwargs: {0}'.format(kwargs))\n x1_setup = np.linspace(x1min, x1max, num=x1_points)\n # flip x2 order to have y increacing on plots' verticle axis\n x2_setup = np.linspace(x2min, x2max, num=x2_points)[::-1]\n x1_grid, x2_grid = np.meshgrid(x1_setup, x2_setup)\n return x1_grid, x2_grid","def meshgrid(self):\n vecs = self.coord_vecs\n return np.meshgrid(*vecs, indexing='ij')","def _create_input_grid(self, x1, x2):\n return x1.unsqueeze(-2), x2.unsqueeze(-3)","def test_quadrature_grid(self):\n L = 2\n M = 2\n N = 0\n NFP = 1\n\n grid_quad = QuadratureGrid(L, M, N, NFP)\n\n roots, weights = special.js_roots(3, 2, 2)\n\n quadrature_nodes = np.stack(\n [\n np.array([roots[0]] * 5 + [roots[1]] * 5 + [roots[2]] * 5),\n np.array(\n [0, 2 * np.pi / 5, 4 * np.pi / 5, 6 * np.pi / 5, 8 * np.pi / 5] * 3\n ),\n np.zeros(15),\n ]\n ).T\n\n np.testing.assert_allclose(grid_quad.spacing.prod(axis=1), grid_quad.weights)\n np.testing.assert_allclose(grid_quad.nodes, quadrature_nodes)","def makemesh_regular(data,vecs,grid):\n\tdata = beyonder(data,vecs,growsize=0.1)\n\txypts = np.array([[i,j] for i in np.linspace(0,vecs[0],grid[0].astype(int)) \n\t\tfor j in np.linspace(0,vecs[1],grid[1].astype(int))])\n\tinterp = scipy.interpolate.LinearNDInterpolator(data[:,0:2],data[:,2],fill_value=0.0)\n\tbilinear_pts = np.array([[i[0],i[1],interp(i[0],i[1])] for i in xypts])\n\tresult = scipy.interpolate.griddata(bilinear_pts[:,0:2],bilinear_pts[:,2],bilinear_pts[:,0:2],\n\t\tmethod='cubic')\n\t#---observed that griddata returns points where we cycle through the points in the following\n\t#---...order:x0,y0),(x0,y1),...(x0,yn),(x1,y0),... and so on, suggesting that the following \n\t#---...reshape command (which reshape function claims to use the \"C\" programming language convention\n\t#---...for reshaping objects by default, which convention has the last index changing \"fastest\")\n\txyz_pts = np.array([[bilinear_pts[i,0],bilinear_pts[i,1],result[i]] for i in range(len(result))])\n\treturn np.reshape(xyz_pts[:,2],grid.astype(int))","def square_mesh(N):\n xs,ys = np.meshgrid(np.linspace(0,1,N),np.linspace(0,1,N))\n xs = xs.flatten(1)\n ys = ys.flatten(1)\n _,_,t,_ = triang.delaunay(xs,ys)\n p = np.vstack((xs,ys)).T\n\n return Trimesh(p,t)","def make_cartesian(self, grid, axis='z'):\n if grid.shape != self.shape:\n raise NotImplementedError('make_cartesian: grid shape mismatch'\n ' not supported')\n gt_flat = grid.t.flat\n r_flat = self.r.flat\n t_flat = self.t.flat\n\n if axis == 'z':\n self.x = self.r.copy()\n self.y = self.r.copy()\n x_flat = self.x.flat\n y_flat = self.y.flat\n for i in range(self.r.size):\n gt = gt_flat[i]\n sine = sin(gt)\n cosine = cos(gt)\n r = r_flat[i]\n t = t_flat[i]\n x_flat[i] = r*cosine - t*sine\n y_flat[i] = r*sine + t*cosine\n self.r = None\n self.t = None\n\n elif axis == 'x':\n self.x = self.z\n self.y = self.r.copy()\n self.z = self.r.copy()\n y_flat = self.y.flat\n z_flat = self.z.flat\n for i in range(self.r.size):\n gt = gt_flat[i]\n sine = sin(gt)\n cosine = cos(gt)\n r = r_flat[i]\n t = t_flat[i]\n y_flat[i] = r*cosine - t*sine\n z_flat[i] = r*sine + t*cosine\n self.r = None\n self.t = None\n\n else:\n raise ValueError(\"axis must be 'z' or 'x'\")","def meshgrid(i, j, indexing='ij'):\n if K.ndim(i) != 1 or K.ndim(j) != 1:\n raise ValueError('need ndim() == 1')\n if K.backend() == 'tensorflow':\n import tensorflow as tf\n I, J = tf.meshgrid(i, j, indexing=indexing)\n else:\n assert K.backend() == 'theano'\n from theano import tensor as T\n I = T.repeat(i, K.shape(j)[0])\n J = T.tile(j, K.shape(i)[0])\n shape = (K.shape(i)[0], K.shape(j)[0])\n return K.reshape(I, shape), K.reshape(J, shape)","def meshup(self, ind='ij'):\r\n xv, yv, zv = self.vec()\r\n x_reg, y_reg, z_reg = np.meshgrid(xv, yv, zv, indexing=ind)\r\n\r\n return x_reg, y_reg, z_reg","def to_mesh(\n self,\n lims_x: array_like = (-1, 1),\n lims_y: array_like = (-1, 1),\n ) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:\n a, b, c, d = self.cartesian()\n x_center, y_center = self.point[:2]\n\n values_x = x_center + lims_x\n values_y = y_center + lims_y\n\n X, Y = np.meshgrid(values_x, values_y)\n\n if c != 0:\n Z = -(a * X + b * Y + d) / c\n\n elif b != 0:\n Z = -(a * X + c * Y + d) / b\n X, Y, Z = X, Z, Y\n\n else:\n Z = -(b * X + c * Y + d) / a\n X, Y, Z = Z, X, Y\n\n return X, Y, Z","def get_2d_cartesian_grid(num_pts_1d, ranges):\n # from math_tools_cpp import cartesian_product_double as cartesian_product\n from PyDakota.math_tools import cartesian_product\n x1 = np.linspace(ranges[0], ranges[1], num_pts_1d)\n x2 = np.linspace(ranges[2], ranges[3], num_pts_1d)\n abscissa_1d = []\n abscissa_1d.append(x1)\n abscissa_1d.append(x2)\n grid = cartesian_product(abscissa_1d, 1)\n return grid","def grid(x, y):\n return product(xrange(1, x+1), xrange(1, y+1))","def build_planar_mesh(cellWidth, x, y, geom_points, geom_edges,\n out_filename='base_mesh.nc', logger=None):\n\n with LoggingContext(__name__, logger=logger) as logger:\n\n da = xarray.DataArray(cellWidth,\n dims=['y', 'x'],\n coords={'y': y, 'x': x},\n name='cellWidth')\n cw_filename = 'cellWidthVsXY.nc'\n da.to_netcdf(cw_filename)\n\n logger.info('Step 1. Generate mesh with JIGSAW')\n jigsaw_driver(cellWidth, x, y, on_sphere=False,\n geom_points=geom_points, geom_edges=geom_edges,\n logger=logger)\n\n logger.info('Step 2. Convert triangles from jigsaw format to netcdf')\n jigsaw_to_netcdf(msh_filename='mesh-MESH.msh',\n output_name='mesh_triangles.nc', on_sphere=False)\n\n logger.info('Step 3. Convert from triangles to MPAS mesh')\n args = ['MpasMeshConverter.x',\n 'mesh_triangles.nc',\n out_filename]\n check_call(args=args, logger=logger)","def makegridnd(meshsize, dimension):\n x = np.meshgrid(*[np.linspace(MIN_POINT_PRECISION, 1,meshsize) for d in range(dimension)])\n mesh = np.asarray(x)\n total = np.sum(mesh,axis=0)\n plane_mesh = mesh[:,np.isclose(total,1.0,atol=1e-2)]\n\n return plane_mesh","def meshup2d(self, ind='ij'):\r\n\r\n xv, yv, _ = self.vec()\r\n x_reg, y_reg = np.meshgrid(xv, yv, indexing=ind)\r\n\r\n return x_reg, y_reg","def create_local_grid(points: np.ndarray, edge_sides: dict, triangles: np.ndarray,\n fault_is_plane: bool, resolution: float=5000.0, num_search_tris: int=10):\n\n # Edge coordinates.\n left_edge = edge_sides['left_edge']\n right_edge = edge_sides['right_edge']\n bottom_edge = edge_sides['bottom_edge']\n top_edge = edge_sides['top_edge']\n\n # Determine number of points in each direction.\n left_diffs = np.diff(left_edge, axis=0)\n left_length = np.sum(np.linalg.norm(left_diffs, axis=1))\n num_divs_left = left_length/resolution\n\n right_diffs = np.diff(right_edge, axis=0)\n right_length = np.sum(np.linalg.norm(right_diffs, axis=1))\n num_divs_right = right_length/resolution\n\n num_vert_points = int(round(0.5*(num_divs_left + num_divs_right))) + 1\n\n bottom_diffs = np.diff(bottom_edge, axis=0)\n bottom_length = np.sum(np.linalg.norm(bottom_diffs, axis=1))\n num_divs_bottom = bottom_length/resolution\n\n top_diffs = np.diff(top_edge, axis=0)\n top_length = np.sum(np.linalg.norm(top_diffs, axis=1))\n num_divs_top = top_length/resolution\n\n num_horiz_points = int(round(0.5*(num_divs_bottom + num_divs_top))) + 1\n num_points = num_vert_points*num_horiz_points\n\n # Get interpolated points on edges.\n ygrid_left = np.linspace(left_edge[0,1], left_edge[-1,1], num=num_vert_points, dtype=np.float64)\n xgrid_left = np.interp(ygrid_left, left_edge[:,1], left_edge[:,0])\n zgrid_left = np.interp(ygrid_left, left_edge[:,1], left_edge[:,2])\n ygrid_right = np.linspace(right_edge[0,1], right_edge[-1,1], num=num_vert_points, dtype=np.float64)\n xgrid_right = np.interp(ygrid_right, right_edge[:,1], right_edge[:,0])\n zgrid_right = np.interp(ygrid_right, right_edge[:,1], right_edge[:,2])\n xgrid_bottom = np.linspace(bottom_edge[0,0], bottom_edge[-1,0], num=num_horiz_points, dtype=np.float64)\n ygrid_bottom = np.interp(xgrid_bottom, bottom_edge[:,0], bottom_edge[:,1])\n zgrid_bottom = np.interp(xgrid_bottom, bottom_edge[:,0], bottom_edge[:,2])\n xgrid_top = np.linspace(top_edge[0,0], top_edge[-1,0], num=num_horiz_points, dtype=np.float64)\n ygrid_top = np.interp(xgrid_top, top_edge[:,0], top_edge[:,1])\n zgrid_top = np.interp(xgrid_top, top_edge[:,0], top_edge[:,2])\n\n # Create 2D mesh.\n mesh_points = np.zeros((num_vert_points, num_horiz_points, 3), dtype=np.float64)\n\n # We need to do this for points on the boundary, which might fall outside a mesh triangle.\n if not(fault_is_plane):\n z = np.zeros((num_vert_points, num_horiz_points), dtype=np.float64)\n is_mesh_edge = np.zeros((num_vert_points, num_horiz_points), dtype=np.bool)\n is_mesh_edge[0,:] = True\n is_mesh_edge[-1,:] = True\n is_mesh_edge[:,0] = True\n is_mesh_edge[:,-1] = True\n z[:,0] = zgrid_left\n z[:,-1] = zgrid_right\n z[0,:] = zgrid_bottom\n z[-1,:] = zgrid_top\n \n for row_num in range(num_vert_points):\n mesh_points[row_num,:,0] = np.linspace(xgrid_left[row_num], xgrid_right[row_num],\n num=num_horiz_points, dtype=np.float64)\n for col_num in range(num_horiz_points):\n mesh_points[:,col_num,1] = np.linspace(ygrid_bottom[col_num], ygrid_top[col_num],\n num=num_vert_points, dtype=np.float64)\n\n # If surface is not a plane, interpolate to get z-coordinates.\n mesh_points = mesh_points.reshape(num_points, 3)\n if not(fault_is_plane):\n is_mesh_edge = is_mesh_edge.reshape(num_points)\n z = z.reshape(num_points)\n mesh_points[:,2] = tri_interpolate_zcoords(points, triangles, mesh_points[:,0:2],\n is_mesh_edge, num_search_tris=num_search_tris)\n mesh_points[is_mesh_edge,2] = z[is_mesh_edge]\n\n return (mesh_points, num_horiz_points, num_vert_points)","def flat_2D_grid(bounds, dx, dy):\n x = np.arange(bounds[0], bounds[1] + dx, dx)\n y = np.arange(bounds[2], bounds[3] + dy, dy)\n x_grid, y_grid = np.meshgrid(x, y)\n x_grid, y_grid = x_grid.flatten(), y_grid.flatten()\n\n return pd.DataFrame({'x': x_grid,\n 'y': y_grid,\n 'masked': np.zeros(x_grid.size, dtype='bool')})","def QuadrilateralProjection(c1=(0,0), c2=(2,0), c3=(2,2), c4=(0,2), points=None, npoints=10, equally_spaced=True):\n\n if points is None or not isinstance(points,np.ndarray):\n if not isinstance(c1,tuple) or not isinstance(c2,tuple) or not isinstance(c3,tuple) or not isinstance(c4,tuple):\n raise ValueError(\"coordinates should be given in tuples of two elements (x,y)\")\n else:\n c1 = np.array(c1); c2 = np.array(c2); c3 = np.array(c3); c4 = np.array(c4)\n opoints = np.vstack((c1,c2,c3,c4))\n else:\n opoints = points\n\n from Florence.FunctionSpace import Quad, QuadES\n from Florence.QuadratureRules.GaussLobattoPoints import GaussLobattoPointsQuad\n from Florence.QuadratureRules.EquallySpacedPoints import EquallySpacedPoints\n\n npoints = int(npoints)\n if npoints ==0: npoints=1\n\n if equally_spaced:\n points = EquallySpacedPoints(ndim=3,C=npoints-1)\n hpBases = QuadES.Lagrange\n else:\n points = GaussLobattoPointsQuad(npoints-1)\n hpBases = Quad.LagrangeGaussLobatto\n\n BasesQuad = np.zeros((4,points.shape[0]),dtype=np.float64)\n for i in range(points.shape[0]):\n BasesQuad[:,i] = hpBases(0,points[i,0],points[i,1],arrange=1)[:,0]\n\n node_arranger = NodeArrangementQuad(npoints-1)[2]\n\n qmesh = Mesh()\n qmesh.Square(lower_left_point=(-1.,-1.), side_length=2,n=npoints, element_type=\"quad\")\n quads = qmesh.elements\n\n\n nnode = qmesh.nnode\n nelem = qmesh.nelem\n nsize = int((npoints+1)**2)\n\n mesh = Mesh()\n mesh.points = np.dot(BasesQuad.T, opoints)\n\n _, inv = np.unique(quads,return_inverse=True)\n sorter = np.argsort(node_arranger)\n mesh.elements = sorter[inv].reshape(quads.shape)\n\n mesh.element_type=\"quad\"\n mesh.nelem = mesh.elements.shape[0]\n mesh.nnode = mesh.points.shape[0]\n mesh.GetBoundaryEdges()\n\n return mesh","def get_meshgrid(self, dim: int = 2) -> list:\n if dim != 2:\n raise NotImplementedError\n vectors = [self.get_ticks(ax) for ax in range(dim)]\n vectors.reverse()\n return np.meshgrid(*vectors)","def cmesh(self):\n return numpy.meshgrid(*self.centers, indexing='ij')","def create_grid(xlim, ylim, step):\n x_range = np.arange(xlim[0], xlim[1], step)\n y_range = np.arange(ylim[0], ylim[1], step)\n return x_range, y_range","def get_gridded_parameters(q, xparam=\"x\", yparam=\"y\", zparam=\"z\"):\n plotParamDF = q[ [xparam, yparam, zparam] ]\n plotParamDF[xparam] = plotParamDF[xparam].tolist()\n plotParamDF[yparam] = np.round(plotParamDF[yparam].tolist(), 1)\n plotParamDF = plotParamDF.groupby( [xparam, yparam] ).mean().reset_index()\n plotParamDF = plotParamDF[ [xparam, yparam, zparam] ].pivot( xparam, yparam )\n x = plotParamDF.index.values\n y = plotParamDF.columns.levels[1].values\n X, Y = np.meshgrid( x, y )\n # Mask the nan values! pcolormesh can't handle them well!\n Z = np.ma.masked_where(\n np.isnan(plotParamDF[zparam].values),\n plotParamDF[zparam].values)\n return X,Y,Z","def regrid(xi, yi, zi, xo, yo):\n xi = common.lon180(xi)\n xo = common.lon180(xo)\n\n idx = dict((k, i) for i, k in enumerate(xi))\n selx = [idx[i] for i in xo]\n idy = dict((k, i) for i, k in enumerate(yi))\n sely = [idy[i] for i in yo]\n selX, selY = numpy.meshgrid(selx, sely)\n return zi[selY, selX]","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 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 test_get_meshgrid(mock_grid):\n\n windows = [corr_window.CorrWindow(j, 0, WS=127) for j in range(0, 129, 64)]\n mock_grid._array[0] = windows\n windows = [corr_window.CorrWindow(0, i, WS=127) for i in range(0, 193, 64)]\n for ii in range(1, 4):\n mock_grid._array[ii][0] = windows[ii]\n\n expx, expy = np.meshgrid([0, 64, 128], [0, 64, 128, 192])\n actx, acty = mock_grid.get_meshgrid()\n\n assert np.all(actx == expx)\n assert np.all(acty == expy)","def make_grid(N):\n\n x = np.linspace(-2. , 2 , N)\n y = np.linspace(-2. , 2 , N)\n # two evenly spaced grids from -2 to 2\n\n return x, y","def convert_meshgrid(g, op, block):\n\n inputs = op.input(\"X\")\n x = [g.get_node(i) for i in inputs]\n outs = _op.meshgrid(x, indexing=\"ij\")\n for i, out in enumerate(outs):\n g.add_node(op.output(\"Out\")[i], out)","def test_Grid_creates_array_space():\n\n # create dummy meshgrid\n img_dim, spacing = (193, 193), 64\n x_vec = np.arange(0, img_dim[1], spacing)\n y_vec = np.arange(0, img_dim[0], spacing)\n xx, yy = np.meshgrid(x_vec, y_vec)\n\n # create Grid\n g = mg.Grid(img_dim, spacing)\n\n assert g.ny == len(y_vec)\n assert g.nx == len(x_vec)","def meshgridflat(*args, copy=False):\n outputs = np.meshgrid(*args, indexing='ij', copy=copy) # type: Iterable[np.ndarray]\n outputs = [v.flatten() for v in outputs]\n return outputs","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 compute_mesh(nrow, ncol, nele):\n tri_index = np.zeros((nele, 3))\n for i in range(nrow-1):\n for j in range(NUM):\n if j == 0:\n tri_index[i*4*NUM+j*4, 0] = (i+1)+(2*j+1)*nrow\n tri_index[i*4*NUM+j*4, 1] = (i+1)\n tri_index[i*4*NUM+j*4, 2] = (i+2)\n\n tri_index[i*4*NUM+j*4+1, 0] = (i+1)+(2*j+1)*nrow\n tri_index[i*4*NUM+j*4+1, 1] = (i+2)\n tri_index[i*4*NUM+j*4+1, 2] = (i+2)+(2*j+1)*nrow\n else:\n tri_index[i*4*NUM+j*4, 0] = (i+1)+(2*j+1)*nrow\n tri_index[i*4*NUM+j*4, 1] = (i+1)+(2*j-1)*nrow\n tri_index[i*4*NUM+j*4, 2] = (i+2)+(2*j-1)*nrow\n\n tri_index[i*4*NUM+j*4+1, 0] = (i+1)+(2*j+1)*nrow\n tri_index[i*4*NUM+j*4+1, 1] = (i+2)+(2*j-1)*nrow\n tri_index[i*4*NUM+j*4+1, 2] = (i+2)+(2*j+1)*nrow\n \n tri_index[i*4*NUM+j*4+2, 0] = (i+1)+2*j*nrow\n tri_index[i*4*NUM+j*4+2, 1] = (i+1)+2*(j+1)*nrow\n tri_index[i*4*NUM+j*4+2, 2] = (i+2)+2*(j+1)*nrow\n\n tri_index[i*4*NUM+j*4+3, 0] = (i+1)+2*j*nrow\n tri_index[i*4*NUM+j*4+3, 1] = (i+2)+2*(j+1)*nrow\n tri_index[i*4*NUM+j*4+3, 2] = (i+2)+2*j*nrow\n return tri_index","def DoubleCoupleGridRegular(magnitudes=[1.], npts_per_axis=40):\n v = 0.\n w = 0.\n\n kappa = regular(0., 360, npts_per_axis)\n sigma = regular(-90., 90., npts_per_axis)\n h = regular(0., 1., npts_per_axis)\n rho = list(map(to_rho, asarray(magnitudes)))\n\n return Grid(\n dims=('rho', 'v', 'w', 'kappa', 'sigma', 'h'),\n coords=(rho, v, w, kappa, sigma, h),\n callback=to_mt)","def CreateTargetGeoField(nbtimestep,latlen,lonlen):\n\n pres_grid = np.zeros((nbtimestep, latlen, lonlen))\n u_grid = np.zeros((nbtimestep, latlen, lonlen))\n v_grid = np.zeros((nbtimestep, latlen, lonlen))\n\n return pres_grid,u_grid,v_grid","def getQuadrilaterals(self):\n ugroup = np.unique(self._group_index)\n ngroup = len(ugroup)\n qlist = []\n for i in range(ngroup):\n ind = np.where(self._group_index == ugroup[i])[0]\n nq = len(ind) - 1\n for j in range(nq):\n P0 = Point(self._toplons[j],\n self._toplats[j],\n self._topdeps[j])\n P1 = Point(self._toplons[j + 1],\n self._toplats[j + 1],\n self._topdeps[j + 1])\n P2 = Point(self._botlons[j + 1],\n self._botlats[j + 1],\n self._botdeps[j + 1])\n P3 = Point(self._botlons[j],\n self._botlats[j],\n self._botdeps[j])\n qlist.append([P0, P1, P2, P3])\n\n return qlist","def get_par_meshgrid(self, copy=False, sparse=False): \n axes = []\n for i in range(self.get_n_dimensions()):\n axes.append(self.dims[i].values_strs)\n return np.meshgrid(*axes, copy, sparse, indexing='ij')","def plot_2D_edp(self, xmin=-100, xmax=100, zmin=-100, zmax=100, N=201):\n rho_xz = []\n xgrid = np.linspace(xmin, xmax, num=N)\n zgrid = np.linspace(zmin, zmax, num=N)\n for x in xgrid:\n for z in zgrid:\n tmp = self.phase * self.F * np.cos(self.qx*x+self.qz*z)\n rho_xz.append([x, z, tmp.sum(axis=0)])\n rho_xz = np.array(rho_xz, float) \n X, Y, Z= rho_xz[:,0], rho_xz[:,1], rho_xz[:,2]\n #Y = rho_xz[:,1]\n #Z = rho_xz[:,2]\n X.shape = (N, N)\n Y.shape = (N, N)\n Z.shape = (N, N)\n plt.figure()\n plt.contourf(X, Y, Z)","def mesh_generation(coordinates):\n # Get the minimum and maximum for the latitudes\n min_latitude = np.min(coordinates[:, 0])\n max_latitude = np.max(coordinates[:, 0])\n # Get the minimum and maximum for the longitudes\n min_longitude = np.min(coordinates[:, 1])\n max_longitude = np.max(coordinates[:, 1])\n # Get the number of provided coordinates\n size = int(np.min([1e5, np.max([5e4, len(coordinates)])]))\n # Create an array of uniform-random points as a mesh\n mesh_1 = np.random.uniform(min_latitude, max_latitude, size)\n mesh_2 = np.random.uniform(min_longitude, max_longitude, size)\n mesh = np.vstack((mesh_1.flatten(), mesh_2.flatten())).T\n # Return the evenly-spaced mesh for the coordinates\n return mesh","def make_grid(data=None, xmin=-5, xmax=5, ymin=-5, ymax=5, n_points = 400):\n if data is not None:\n xmin, ymin = np.min(data, axis = 0)\n xmax, ymax = np.max(data, axis = 0)\n\n plt.ylim(ymin, ymax)\n plt.xlim(xmin, xmax)\n\n x, y = np.meshgrid(np.linspace(xmin, xmax, n_points), np.linspace(ymin, ymax, n_points))\n grid = np.c_[x.ravel(), y.ravel()] # grid has n_points ^2 row and 2 columns\n return x, y, grid","def construct_simplex_meshgrid(ng, dimSimplex):\n t_list = np.linspace(0, 1, ng)\n tmp = np.array(np.meshgrid(*[t_list for i in range(dimSimplex - 1)]))\n m = np.zeros([tmp[0].ravel().shape[0], dimSimplex])\n for i in range(dimSimplex - 1):\n m[:, i] = tmp[i].ravel()\n m[:, dimSimplex - 1] = 1 - np.sum(m, axis=1)\n return (m[m[:, -1] >= 0, :])","def grid(x, y, z, resX=100, resY=100):\n x = x.flatten()\n y = y.flatten()\n z = z.flatten()\n xi = linspace(min(x), max(x), resX)\n yi = linspace(min(y), max(y), resY)\n zi = griddata(x, y, z, xi, yi, interp='linear')\n return xi, yi, zi","def getQuadrilaterals(self):\n pass","def __init__(self, dx = 1., dy = 1., nx = 1, ny = 1,\n _RepresentationClass=_Grid2DRepresentation, _TopologyClass=_Mesh2DTopology):\n\n self.args = {\n 'dx': dx,\n 'dy': dy,\n 'nx': nx,\n 'ny': ny\n }\n\n self.nx = nx\n self.ny = ny\n\n self.numberOfHorizontalFaces = self.nx * (self.ny + 1)\n self.numberOfVerticalFaces = self.ny * (self.nx + 1)\n self.numberOfEachDiagonalFaces = self.nx * self.ny\n\n self.dx = PhysicalField(value = dx)\n scale = PhysicalField(value = 1, unit = self.dx.unit)\n self.dx /= scale\n\n self.dy = PhysicalField(value = dy)\n if self.dy.unit.isDimensionless():\n self.dy = dy\n else:\n self.dy /= scale\n\n self.numberOfCornerVertices = (self.nx + 1) * (self. ny + 1)\n self.numberOfCenterVertices = self.nx * self.ny\n self.numberOfTotalVertices = self.numberOfCornerVertices + self.numberOfCenterVertices\n\n self.offset = (0, 0)\n\n vertices = self._createVertices()\n faces = self._createFaces()\n\n cells = self._createCells()\n cells = numerix.sort(cells, axis=0)\n\n Mesh2D.__init__(self, vertices, faces, cells,\n _RepresentationClass=_RepresentationClass, _TopologyClass=_TopologyClass)\n\n self.scale = scale","def two_plane_obj_points(grid_size, dx):\r\n objp_xy = np.zeros((grid_size[0]*grid_size[1], 3), np.float32)\r\n objp_yz = np.zeros((grid_size[1]*grid_size[2], 3), np.float32)\r\n objp_xy[:,:2] = np.mgrid[0:grid_size[0], 0:grid_size[1]].T.reshape(-1, 2)\r\n objp_yz[:,1:3] = np.mgrid[0:grid_size[1], 0:grid_size[2]].T.reshape(-1, 2)\r\n\r\n return objp_xy*dx, objp_yz*dx","def _construct_r_grid(n, dr=None, r=None):\n if dr is None and r is None:\n # default value, we don't care about the scaling since the mesh size was not provided\n dr = 1.0\n\n if dr is not None and r is not None:\n raise ValueError('Both r and dr input parameters cannot be specified at the same time')\n elif dr is None and r is not None:\n if r.ndim != 1 or r.shape[0] != n:\n raise ValueError('The input parameter r should be a 1D array'\n 'of shape = ({},), got shape = {}'.format(n, r.shape))\n # not so sure about this, needs verification\n dr = np.gradient(r) \n\n else:\n if isinstance(dr, np.ndarray):\n raise NotImplementedError\n r = (np.arange(n) + 0.5)*dr\n return r, dr","def make_coordinate_grid(spatial_size, type):\n h, w = spatial_size\n x = torch.arange(w).type(type)\n y = torch.arange(h).type(type)\n x = 2 * (x / (w - 1)) - 1\n y = 2 * (y / (h - 1)) - 1\n yy = y.view(-1, 1).repeat(1, w)\n xx = x.view(1, -1).repeat(h, 1)\n meshed = torch.cat([xx.unsqueeze_(2), yy.unsqueeze_(2)], 2)\n return meshed","def interp_2D(data_grid, info=ProcessInfo()):\n print('Interpolating data...')\n meth = info.INTERP_METHOD # Get method for interpolating\n print(meth)\n\n xy_grid = np.nonzero(data_grid)\n z_grid = data_grid[xy_grid]\n grid_x, grid_y = np.mgrid[0:1000:1000j, 0:1000:1000j]\n interp_grid = interpolate.griddata(xy_grid, z_grid, (grid_x, grid_y), method=meth)\n\n return interp_grid","def uniform_mesh(n, x_0=0.0, x_1=1.0):\n\n assert n>0\n\n\n points = x_0 + (x_1 - x_0)*numpy.arange(n+1,dtype=numpy.float)/n\n boundary = {(0, 0): 'left', (n-1, 1): 'right'}\n\n return points, boundary","def _nd_plot_grid(self, **kwargs):\n\n from matplotlib.lines import Line2D\n from pesummary.core.plots.publication import pcolormesh\n\n # only add to corner plot if plotting on an existing figure\n if \"fig\" not in kwargs:\n raise TypeError(\n \"Can only add Grid results to an existing corner plot showing samples\"\n )\n\n colors = kwargs.pop(\"colors\")\n\n fig = kwargs.pop(\"fig\")\n ax = fig.axes\n\n quantiles = kwargs.pop(\"quantiles\", None)\n grid2d = kwargs.pop(\"grid2d\", False)\n\n for i, (label, grid) in enumerate(self._grids.items()):\n plotkwargs = {}\n plotkwargs[\"color\"] = colors[i]\n plotkwargs[\"label\"] = label\n\n axidx = 0\n for j, param in enumerate(self.parameters):\n x = grid[0].sample_points[param]\n pdf = np.exp(\n grid[0].marginalize_ln_posterior(not_parameters=param) - grid[1]\n )\n\n ax[axidx].plot(x, pdf, **plotkwargs)\n\n if quantiles is not None:\n low, high = self._credible_interval_grid(\n grid[0], param, interval=quantiles\n )\n ax[axidx].axvline(low, color=colors[i], ls=\"--\")\n ax[axidx].axvline(high, color=colors[i], ls=\"--\")\n\n # plot 2D posteriors\n if grid2d:\n meshkwargs = {}\n meshkwargs[\"zorder\"] = kwargs.get(\"zorder\", -10)\n meshkwargs[\"shading\"] = kwargs.get(\"shading\", \"gouraud\")\n\n if \"cmap\" not in kwargs:\n if colors[i] in COLOR_MAP:\n meshkwargs[\"cmap\"] = COLOR_MAP[colors[i]]\n else:\n meshkwargs[\"cmap\"] = kwargs[\"cmap\"]\n\n for k in range(j + 1, self._num_parameters):\n y = grid[0].sample_points[self.parameters[k]]\n density = np.exp(\n grid[0].marginalize_ln_posterior(\n not_parameters=[param, self.parameters[k]]\n )\n - grid[1]\n )\n\n # set orientation of the 2D grid\n p1idx = grid[0].parameter_names.index(param)\n p2idx = grid[0].parameter_names.index(self.parameters[k])\n if p1idx < p2idx:\n # transpose density\n density = density.T\n\n axyidx = axidx + (k - j) * self._num_parameters\n pcolormesh(x, y, density, ax=ax[axyidx], **meshkwargs)\n\n axidx += self._num_parameters + 1\n\n # update the legend\n handles = []\n for legtext, leghandle in zip(\n fig.legends[0].texts, fig.legends[0].legendHandles\n ):\n label = legtext.get_text()\n legcolor = leghandle.get_color()\n\n handles.append(Line2D([], [], color=legcolor, label=label))\n\n for i, label in enumerate(self._grids):\n for line in ax[0].get_lines():\n linecolor = line.get_color()\n # test that colours are the same\n if linecolor == colors[i]:\n handles.append(Line2D([], [], color=linecolor, label=label))\n break\n\n # remove original legend\n fig.legends = []\n\n # re-add legend\n fig.legend(handles=handles, frameon=False, loc=\"upper right\")\n\n return fig","def create_grid(self):\n # Domain definition\n network = pp.FractureNetwork2d(self.frac_pts.T, self.frac_edges.T, domain=self.box)\n gb = network.mesh(self.mesh_args) \n pp.contact_conditions.set_projections(gb)\n\n self.gb = gb\n self.Nd = self.gb.dim_max()\n self._Nd = self.gb.dim_max()\n g2d = self.gb.grids_of_dimension(2)[0]\n self.min_face = np.copy(self.mesh_size) #np.min(g2d.face_areas)\n self.min_cell = np.min(g2d.cell_volumes)\n self.p, self.t = analysis.adjustmesh(g2d, self.tips, self.GAP)\n self.displacement = self.p*0\n self.fa_no = g2d.face_nodes.indices.reshape((2, g2d.num_faces), order='f').T \n return gb","def test_init_multigrid():\n\n img_dim = (500, 750)\n h = 64\n\n # expected grid\n xv, yv = (np.arange(0, img_dim[1], h),\n np.arange(0, img_dim[0], h))\n x_exp, y_exp = np.meshgrid(xv, yv)\n\n # actual\n amg = mg.MultiGrid(img_dim, h, WS=127)\n x_act, y_act = amg.x, amg.y\n\n assert np.allclose(x_act, x_exp.ravel())\n assert np.allclose(y_act, y_exp.ravel())","def cloudy_grid_surface(**kwargs):\n\n p = copy.copy(params)\n for key,val in kwargs.items():\n setattr(p,key,val)\n\n cloudy_library = clo.library()\n model_number_matrix,grid_table = cloudy_library._restore_grid_table(grid_ext=p.grid_ext)\n\n fig = plt.figure(figsize=(10,7))\n ax = plt.axes(projection='3d')\n\n key1, key2 = list(p.cloudy_param.keys())[0],list(p.cloudy_param.keys())[1]\n value1, value2 = list(p.cloudy_param.values())[0],list(p.cloudy_param.values())[1]\n\n # Decide on what goes on x and y axis\n cloudy_parameters = np.array(['NH','FUV','hden','Z'])\n x_index = cloudy_parameters[(cloudy_parameters != key1) &\\\n (cloudy_parameters != key2)][0]\n y_index = cloudy_parameters[(cloudy_parameters != key1) &\\\n (cloudy_parameters != key2)][1]\n\n # Cut in grid table\n grid_table_cut = grid_table.iloc[np.where((grid_table[key1].values == value1) & \\\n (grid_table[key2].values == value2))[0]]\n x, y = grid_table_cut[x_index].values, grid_table_cut[y_index].values\n X, Y = np.meshgrid(np.unique(grid_table_cut[x_index].values), np.unique(grid_table_cut[y_index].values))\n\n # Plot line ratio?\n if '_' in p.line:\n L1 = grid_table_cut[p.line.split('_')[0]].values\n L2 = grid_table_cut[p.line.split('_')[1]].values\n L2[L2 == 0] = 1e9\n line_lum = (L1/L2).astype(float)\n vmin = np.min(np.log10(line_lum[L2 < 1e9]))\n\n else:\n line_lum = grid_table_cut[p.line].values.astype(float)\n vmin = np.min(np.log10(line_lum[line_lum > 0]))\n\n lum = np.log10(line_lum)\n lum = lum.reshape([len(np.unique(x)), len(np.unique(y))]).T\n\n # ########## Patching the grid !!\n # line_lum[np.isnan(line_lum)] = -1 # what are these?\n # # 0 values: not sure if we have any?\n # line_lum[line_lum == 0] = np.min(line_lum[line_lum > 0])\n # # Negative numbers: missing grid point\n # i_missing = np.where(line_lum < 0)[0]\n # while len(i_missing) > 0:\n # lum = np.log10(line_lum)\n # for i in i_missing:\n # # print(lum[i-1],lum[i+1])\n # try: \n # lum[i] = (lum[i-1] + lum[i+1])/ 2\n # except:\n # pass\n # # print('he',np.isnan(lum[i]))\n # if np.isnan(lum[i]):\n # try:\n # lum[i] = lum[i-1] \n # except:\n # pass\n # if np.isnan(lum[i]):\n # try:\n # lum[i] = lum[i+1] \n # except:\n # pass \n # line_lum[i] = 10.**lum[i]\n # # print(i,lum[i])\n # i_missing = np.where(line_lum < 0)[0]\n # ########## End of patching\n\n\n # pdb.set_trace()\n ax.plot_surface(X, Y, lum, cmap=\"autumn_r\", vmin=vmin, lw=0, rstride=1, cstride=1,alpha=0.8)\n\n ax.set_xlabel('\\n\\n' + getlabel('l'+x_index))\n ax.set_ylabel('\\n\\n' + getlabel('l'+y_index))\n\n try:\n ax.set_zlabel('\\n\\n' + getlabel('l%s' % p.line))\n except:\n ax.set_zlabel('\\n\\n log ' + p.line.replace('_','/'))\n\n\n ax.scatter(x[line_lum > 10.**vmin],y[line_lum > 10.**vmin],np.log10(line_lum[line_lum > 10.**vmin]),\\\n 'o',c=np.log10(line_lum[line_lum > 10.**vmin]),cmap='autumn_r',s=50)\n\n # print(x)\n # print(line_lum)\n ax.view_init(30, p.angle)\n\n if p.savefig:\n if not os.path.isdir(p.d_plot + 'look-up/'): os.mkdir(p.d_plot + 'look-up/') \n plt.savefig(p.d_plot + 'look-up/cloudy_grid_%s.%s' % (p.line, p.format), format=p.format, dpi=300) \n # pdb.set_trace()","def g2Dto1Dgrid(g2D, grid, average_grid=False):\n\n g2D = np.array(g2D)\n grid = np.array(grid)\n\n g1D_dic = DictList() # hash table of radii and values at radii\n\n for i in range(g2D.shape[0]):\n for j in range(g2D.shape[1]):\n g1D_dic[grid[i, j]] += [g2D[i, j]]\n\n g1D = np.array(list(map(\n lambda radius: [radius, np.mean(g1D_dic[radius])],\n sorted(g1D_dic))))\n\n if not(average_grid): return g1D\n\n g2D_cylindrical = np.zeros(grid.shape)\n for radius, mean_g in zip(*np.transpose(g1D)):\n for i, j in zip(*np.where(grid == radius)):\n g2D_cylindrical[i, j] = mean_g\n\n return g1D, g2D_cylindrical","def _build_quadrant_indices(self, xval: Union[np.ndarray, da.Array], yval: Union[np.ndarray, da.Array]):\n\n xmin, ymin = self.mins\n xmax, ymax = self.maxs\n xmid = (0.5 * (xmin + xmax)).astype(xmin.dtype)\n ymid = (0.5 * (ymin + ymax)).astype(ymin.dtype)\n\n # split the data into four quadrants\n xval_lessthan = xval <= xmid\n xval_greaterthan = xval >= xmid\n yval_lessthan = yval <= ymid\n yval_greaterthan = yval >= ymid\n\n idx = np.array(self.index)\n index_q0 = idx[xval_lessthan & yval_greaterthan].tolist() # top left\n index_q1 = idx[xval_greaterthan & yval_greaterthan].tolist() # top left\n index_q2 = idx[xval_lessthan & yval_lessthan].tolist() # top left\n index_q3 = idx[xval_greaterthan & yval_lessthan].tolist() # top left\n\n return index_q0, index_q1, index_q2, index_q3, xmin, xmax, ymin, ymax, xmid, ymid","def create_grid(grid):\r\n for i in range (4):\r\n grid.append ([])\r\n for j in range (4):\r\n grid[i].append (0)","def make_grid(lat_values, lon_values, np_lat, np_lon):\n \n coordsys = iris.coord_systems.RotatedGeogCS(np_lat, np_lon)\n \n latitude = iris.coords.DimCoord(lat_values,\n standard_name='latitude',\n units='degrees_north',\n coord_system=coordsys)\n longitude = iris.coords.DimCoord(lon_values, \n standard_name='longitude',\n units='degrees_east',\n coord_system=coordsys)\n\n dummy_data = numpy.zeros((len(lat_values), len(lon_values)))\n new_cube = iris.cube.Cube(dummy_data, dim_coords_and_dims=[(latitude, 0), (longitude, 1)])\n \n return new_cube","def create_square_triangle_mesh():\n vertices = np.array(\n ((0, 0, 0), (1, 0, 0), (0, 1, 0), (1, 1, 0), (0.5, 0.5, 0)),\n dtype=np.float32)\n faces = np.array(\n ((0, 1, 4), (1, 3, 4), (3, 2, 4), (2, 0, 4)), dtype=np.int32)\n return vertices, faces","def create_square_grid(self, len_side_a, len_side_b):\n if (len_side_a < 2) or (len_side_b < 2):\n raise ValueError('side length attributes for HexagonalCells should be at least 2.')\n\n self.connections, self.weights = create_grid_square_cells(len_side_a, len_side_b)\n self.shape = (len_side_a, len_side_b)\n\n # populate the dictionary from cell coordinates to cell indexes in arrays connection and weights\n for i in range(len_side_a):\n for j in range(len_side_b):\n self.dict_cell_id_to_ind[(i, j)] = j + i*len_side_b","def get_grid_mesh_coordinates(bbox, spacings=(1,1,1), dot_spacing=1, include_borderline=True):\n\n xmin,xmax,ymin,ymax,zmin,zmax = bbox\n\n xdim, ydim, zdim = (xmax+1-xmin, ymax+1-ymin, zmax+1-zmin)\n\n xs = np.arange(0, xdim, spacings[0])\n ys = np.arange(0, ydim, spacings[1])\n zs = np.arange(0, zdim, spacings[2])\n\n vol = np.zeros((ydim, xdim, zdim), np.bool)\n xs = xs.astype(np.int)\n ys = ys.astype(np.int)\n zs = zs.astype(np.int)\n xs = xs[(xs >= 0) & (xs < xdim)]\n ys = ys[(ys >= 0) & (ys < ydim)]\n zs = zs[(zs >= 0) & (zs < zdim)]\n if include_borderline:\n if 0 not in xs:\n xs = np.r_[0, xs, xdim-1]\n else:\n xs = np.r_[xs, xdim-1]\n if 0 not in ys:\n ys = np.r_[0, ys, ydim-1]\n else:\n ys = np.r_[ys, ydim-1]\n if 0 not in zs:\n zs = np.r_[0, zs, zdim-1]\n else:\n zs = np.r_[zs, zdim-1]\n for y in ys:\n vol[y, xs, ::dot_spacing] = 1\n vol[y, ::dot_spacing, zs] = 1\n for x in xs:\n vol[ys, x, ::dot_spacing] = 1\n vol[::dot_spacing, x, zs] = 1\n for z in zs:\n vol[ys, ::dot_spacing, z] = 1\n vol[::dot_spacing, xs, z] = 1\n\n ys, xs, zs = np.nonzero(vol)\n\n return np.c_[xs, ys, zs] + (xmin,ymin,zmin)","def eval_2d_mesh(xmin, ymin, xmax, ymax, nx, ny, eval_fun):\n if xmin > xmax:\n raise ValueError(\"xmin (%.2f) was greater than\"\n \"xmax (%.2f)\" % (xmin, xmax))\n if ymin > ymax:\n raise ValueError(\"ymin (%.2f) was greater than\"\n \"ymax (%.2f)\" % (xmin, xmax))\n if nx < 1 or ny < 1:\n raise ValueError(\"nx (%.2f) or ny (%.2f) was less than 1\" % (nx, ny))\n X = np.linspace(xmin, xmax, nx)\n lenx = len(X)\n Y = np.linspace(ymin, ymax, ny)\n leny = len(Y)\n X, Y = np.meshgrid(X, Y)\n Z = np.zeros((leny, lenx))\n for i in range(leny):\n for j in range(lenx):\n Z[i][j] = eval_fun(np.array([X[i][j], Y[i][j]]))\n return (X, Y, Z)","def create_grid(grid):\r\n inner = [0]*4\r\n for i in range(4):\r\n grid.append(inner[:])","def mesh2grid(v, x, z):\n lx = x.max() - x.min()\n lz = z.max() - z.min()\n nn = v.size\n mesh = _stack(x, z)\n\n nx = np.around(np.sqrt(nn*lx/lz))\n nz = np.around(np.sqrt(nn*lz/lx))\n dx = lx/nx\n dz = lz/nz\n\n # construct structured grid\n x = np.linspace(x.min(), x.max(), nx)\n z = np.linspace(z.min(), z.max(), nz)\n X, Z = np.meshgrid(x, z)\n grid = _stack(X.flatten(), Z.flatten())\n\n # interpolate to structured grid\n V = scipy.interpolate.griddata(mesh, v, grid, 'linear')\n\n # workaround edge issues\n if np.any(np.isnan(V)):\n W = scipy.interpolate.griddata(mesh, v, grid, 'nearest')\n for i in np.where(np.isnan(V)):\n V[i] = W[i]\n\n return np.reshape(V, (nz, nx))","def create_grid_and_edges(data, drone_altitude, safety_distance):\n # minimum and maximum north coordinates\n north_min = np.floor(np.min(data[:, 0] - data[:, 3]))\n north_max = np.ceil(np.max(data[:, 0] + data[:, 3]))\n\n # minimum and maximum east coordinates\n east_min = np.floor(np.min(data[:, 1] - data[:, 4]))\n east_max = np.ceil(np.max(data[:, 1] + data[:, 4]))\n\n # given the minimum and maximum coordinates we can\n # calculate the size of the grid.\n north_size = int(np.ceil(north_max - north_min))\n east_size = int(np.ceil(east_max - east_min))\n\n # Initialize an empty grid\n grid = np.zeros((north_size, east_size))\n # Initialize an empty list for Voronoi points\n points = []\n # Populate the grid with obstacles\n for i in range(data.shape[0]):\n north, east, alt, d_north, d_east, d_alt = data[i, :]\n if alt + d_alt + safety_distance > drone_altitude:\n obstacle = [\n int(np.clip(north - d_north - safety_distance - north_min, 0, north_size-1)),\n int(np.clip(north + d_north + safety_distance - north_min, 0, north_size-1)),\n int(np.clip(east - d_east - safety_distance - east_min, 0, east_size-1)),\n int(np.clip(east + d_east + safety_distance - east_min, 0, east_size-1)),\n ]\n grid[obstacle[0]:obstacle[1]+1, obstacle[2]:obstacle[3]+1] = 1\n # add center of obstacles to points list\n points.append([north - north_min, east - east_min])\n\n graph = Voronoi(points)\n\n edges = []\n for v in graph.ridge_vertices:\n p1 = graph.vertices[v[0]]\n p2 = graph.vertices[v[1]]\n cells = list(bresenham(int(p1[0]), int(p1[1]), int(p2[0]), int(p2[1])))\n hit = False\n\n for c in cells:\n if np.amin(c) < 0 or c[0] >= grid.shape[0] or c[1] >= grid.shape[1]:\n hit = True\n break\n if grid[c[0], c[1]] == 1:\n hit = True\n break\n\n if not hit:\n p1 = (p1[0], p1[1])\n p2 = (p2[0], p2[1])\n edges.append((p1, p2))\n\n return grid, edges, int(north_min), int(east_min)","def create_uniform_grid(low, high, bins=(10, 10)):\n grid = [np.linspace(low[dim], high[dim], bins[dim] + 1)[1:-1]\n for dim in range(len(bins))]\n\n return grid","def cell_edges3d_cartesian(self, axis2, axis3):"],"string":"[\n \"def meshgrid(x,y):\\n x = asarray(x)\\n y = asarray(y)\\n numRows, numCols = len(y), len(x) # yes, reversed\\n x = x.reshape(1,numCols)\\n X = x.repeat(numRows, axis=0)\\n\\n y = y.reshape(numRows,1)\\n Y = y.repeat(numCols, axis=1)\\n return X, Y\",\n \"def make_meshgrid(x, y, h=.02):\\r\\n x_min, x_max = x.min() - 1, x.max() + 1\\r\\n y_min, y_max = y.min() - 1, y.max() + 1\\r\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\r\\n np.arange(y_min, y_max, h))\\r\\n return xx, yy\",\n \"def make_meshgrid(x, y,h=0.02):\\n x_min, x_max = x.min() - 1, x.max() + 1\\n y_min, y_max = y.min() - 1, y.max() + 1\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def make_meshgrid(x, y, h=.02):\\r\\n x_min, x_max = x.min() - 1, x.max() + 1\\r\\n y_min, y_max = y.min() - 1, y.max() + 1\\r\\n xx, yy = np.meshgrid(np.arange(x_min,x_max,h),np.arange(y_min,y_max,h))\\r\\n return xx, yy\",\n \"def make_meshgrid(x, y, h=.02):\\r\\n x_min, x_max = x.min() - 1, x.max() + 1\\r\\n y_min, y_max = y.min() - 1, y.max() + 1\\r\\n xx, yy = np.meshgrid(np.arange(x_min,x_max,h),np.arange(y_min,y_max,h))\\r\\n return xx, yy\",\n \"def make_meshgrid(x, y, h=.02):\\n x_min, x_max = x.min() - 1, x.max() + 1\\n y_min, y_max = y.min() - 1, y.max() + 1\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def make_meshgrid(x, y, h=.02):\\n x_min, x_max = x.min() - 1, x.max() + 1\\n y_min, y_max = y.min() - 1, y.max() + 1\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def make_meshgrid(x, y, h=.02):\\n x_min, x_max = x.min() - 1, x.max() + 1\\n y_min, y_max = y.min() - 1, y.max() + 1\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def make_meshgrid(x, y, h=.02):\\n x_min, x_max = x.min() - 1, x.max() + 1\\n y_min, y_max = y.min() - 1, y.max() + 1\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def make_meshgrid(x, y, h=0.02):\\n space = 0.3\\n x_min, x_max = x.min() - space, x.max() + space\\n y_min, y_max = y.min() - space, y.max() + space\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def make_meshgrid(x, y, h = 5):\\n x_min, x_max = x.min() - 1, x.max() + 1\\n y_min, y_max = y.min() - 1, y.max() + 1\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def create_meshgrid(x, y, h=0.015):\\n x_min, x_max = x.min() - 1, x.max() + 1\\n y_min, y_max = y.min() - 1, y.max() + 1\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def meshgrid(x, y, row_major=True):\\n # type: (int, int, bool)->Tensor\\n a = torch.arange(0, x)\\n b = torch.arange(0, y)\\n xx = a.repeat(y).view(-1, 1).float()\\n yy = b.view(-1, 1).repeat(1, x).view(-1, 1).float()\\n return torch.cat([xx, yy], 1) if row_major else torch.cat([yy, xx], 1)\",\n \"def make_meshgrid(x_min,x_max,y_min,y_max, h=.02):\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def make_meshgrid(x_min,x_max,y_min,y_max, h=.02):\\n xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\\n np.arange(y_min, y_max, h))\\n return xx, yy\",\n \"def grid(h, w, dtype=np.float32):\\n M = h * w\\n x = np.linspace(0, 1, w, dtype=dtype)\\n y = np.linspace(0, 1, h, dtype=dtype)\\n xx, yy = np.meshgrid(x, y)\\n z = np.empty((M, 2), dtype)\\n z[:, 0] = xx.reshape(M)\\n z[:, 1] = yy.reshape(M)\\n return z\",\n \"def make_grid(self, nx, ny):\\n nx_vec = np.arange(nx)\\n ny_vec = np.arange(ny)\\n yv, xv = np.meshgrid(ny_vec, nx_vec)\\n grid = np.stack((yv, xv), axis=2)\\n grid = grid.reshape(1, 1, ny, nx, 2)\\n return grid\",\n \"def _create_meshgrid(self):\\n x = np.linspace(self.limits[0], self.limits[1], self.resolution)\\n y = np.linspace(self.limits[2], self.limits[3], self.resolution)\\n X, Y = np.meshgrid(x, y)\\n return X, Y\",\n \"def coordinate_pairs(lat_axis, lon_axis):\\n \\n lon_mesh, lat_mesh = numpy.meshgrid(lon_axis, lat_axis) # This is the correct order\\n \\n return lat_mesh.flatten(), lon_mesh.flatten()\",\n \"def meshgrid(b, convention='Driscoll-Healy'):\\n return np.meshgrid(*linspace(b, convention))\",\n \"def ppcolormesh_from_meshgrid(ax: Axes, x: np.ndarray, y: np.ndarray,\\n z: np.ndarray, **kw) -> AxesImage:\\n cmap = kw.get('cmap', cm.viridis)\\n\\n x = x.astype(float)\\n y = y.astype(float)\\n z = z.astype(float)\\n\\n # first check if we need to fill some masked values in\\n if np.ma.is_masked(x):\\n x = x.filled(np.nan)\\n if np.ma.is_masked(y):\\n y = y.filled(np.nan)\\n if np.ma.is_masked(z):\\n z = z.filled(np.nan)\\n\\n # next: try some surgery, if possible\\n if np.all(num.is_invalid(x)) or np.all(num.is_invalid(y)):\\n return\\n if np.any(np.isnan(x)) or np.any(np.isnan(y)):\\n x, y = interp_meshgrid_2d(x, y)\\n if np.any(num.is_invalid(x)) or np.any(num.is_invalid(y)):\\n x, y, z = num.crop2d(x, y, z)\\n\\n # next, check if the resulting grids are even still plotable\\n for g in x, y, z:\\n if g.size == 0:\\n return\\n elif len(g.shape) < 2:\\n return\\n\\n # special case: if we have a single line, a pcolor-type plot won't work.\\n elif min(g.shape) < 2:\\n im = ax.scatter(x, y, c=z)\\n return im\\n\\n # and finally: the meshgrid we have describes coordinates, but for plotting\\n # with pcolormesh we need vertices.\\n try:\\n x = centers2edges_2d(x)\\n y = centers2edges_2d(y)\\n except:\\n return\\n\\n im = ax.pcolormesh(x, y, z, cmap=cmap, **kw)\\n ax.set_xlim(x.min(), x.max())\\n ax.set_ylim(y.min(), y.max())\\n return im\",\n \"def _grid(m, dtype=np.float32):\\n M = m**2\\n x = np.linspace(0, 1, m, dtype=dtype)\\n y = np.linspace(0, 1, m, dtype=dtype)\\n xx, yy = np.meshgrid(x, y)\\n z = np.empty((M, 2), dtype)\\n z[:, 0] = xx.reshape(M)\\n z[:, 1] = yy.reshape(M)\\n return z\",\n \"def buildGrid(self, plot=False):\\r\\n\\r\\n print(\\\"Constructing grid\\\")\\r\\n # print(\\\"Grid dims\\\", self.ne, self.nn, self.nz)\\r\\n # print(\\\"Num points\\\", 2*(self.ne+1)*(self.nn+1)*3, len(self.coords))\\r\\n\\r\\n # number of edges\\r\\n self.ndx = self.ne + 1\\r\\n self.ndy = self.nn + 1\\r\\n self.ndz = self.nz + 1\\r\\n\\r\\n # extract the triplets\\r\\n self.points = {}\\r\\n self.points[\\\"e\\\"] = self.coords[0::3]\\r\\n self.points[\\\"n\\\"] = self.coords[1::3]\\r\\n self.points[\\\"z\\\"] = self.coords[2::3]\\r\\n\\r\\n print('points e')\\r\\n print(self.points[\\\"e\\\"])\\r\\n\\r\\n # Here are the coordinates\\r\\n self.X0 = np.reshape(self.points[\\\"e\\\"][0::2] , (self.ndx,self.ndy), order=\\\"F\\\")\\r\\n self.Y0 = np.reshape(self.points[\\\"n\\\"][0::2] , (self.ndx,self.ndy), order=\\\"F\\\")\\r\\n self.Z0 = np.reshape(self.points[\\\"z\\\"][0::2] , (self.ndx,self.ndy), order=\\\"F\\\")\\r\\n\\r\\n self.X1 = np.reshape(self.points[\\\"e\\\"][1::2] , (self.ndx,self.ndy), order=\\\"F\\\")\\r\\n self.Y1 = np.reshape(self.points[\\\"n\\\"][1::2] , (self.ndx,self.ndy), order=\\\"F\\\")\\r\\n self.Z1 = np.reshape(self.points[\\\"z\\\"][1::2] , (self.ndx,self.ndy), order=\\\"F\\\")\\r\\n #\\r\\n # # visualize\\r\\n # if plot:\\r\\n # print(\\\"plotting\\\")\\r\\n # fig = plt.figure()\\r\\n # ax = fig.add_subplot(111, projection='3d')\\r\\n # ax.plot_wireframe(f2m*self.X0, f2m*self.Y0, f2m*self.Z0, rstride=1, cstride=1)\\r\\n # ax.plot_wireframe(f2m*self.X1, f2m*self.Y1, f2m*self.Z1, rstride=1, cstride=1)\\r\\n # plt.show()\\r\",\n \"def ndgrid(*args,**kwargs):\\n kwargs['indexing'] = 'ij'\\n return meshgrid(*args,**kwargs)\",\n \"def mesh_grid(self,width,height):\\n # get\\n \\n x_linspace=tf.linspace(-self.cx_,1-self.cx_,width)\\n y_linspace=tf.linspace(-self.cy_,1-self.cy_,height)\\n \\n# x_cord,y_cord=tf.meshgrid(x_linspace,y_linspace)\\n y_cord,x_cord=tf.meshgrid(y_linspace,x_linspace)\\n \\n \\n x_cord=tf.reshape(x_cord,[-1])\\n y_cord=tf.reshape(y_cord,[-1])\\n \\n f_=tf.ones_like(x_cord)\\n \\n x_=tf.div(x_cord,self.cf)\\n y_=tf.div(y_cord,self.cf)\\n \\n grid=tf.concat([x_,y_,f_],0)\\n return grid\",\n \"def create_mesh_grid(val_loc, linspace, frame=None, method='cubic'):\\n locations = val_loc[:,0:2]\\n values = val_loc[:,2]\\n if frame == None:\\n frame = create_frame_for(locations)\\n assert len(frame) == 2, \\\"Precondition violation\\\"\\n assert len(frame[0]) == 2 and len(frame[1]) == 2, \\\"Preconditio violation\\\"\\n assert frame[0][0] <= frame[0][1] and frame[1][0] <= frame[1][1], \\\"Precondition violation\\\"\\n assert len(linspace) == 2, \\\"Precondition violatio\\\"\\n assert linspace[0] > 0 and linspace[1] > 0, \\\"Precondition violation\\\"\\n assert method in ['cubic','linear','nearest'], \\\"Precondition violaiton\\\"\\n mesh_X, mesh_Y = np.meshgrid(\\n np.linspace(frame[0][0],frame[0][1],linspace[0]),\\n np.linspace(frame[1][0],frame[1][1],linspace[1]),\\n indexing='xy'\\n )\\n mesh_Z = scipy.interpolate.griddata(\\n locations, values, (mesh_X, mesh_Y), method=method, fill_value=0\\n )\\n return mesh_X, mesh_Y, mesh_Z\",\n \"def _setQuadrilaterals(self):\\n\\n # Make sure arrays are numpy arrays.\\n self._lon = np.array(self._lon)\\n self._lat = np.array(self._lat)\\n self._depth = np.array(self._depth)\\n\\n # Find the nans, which tells is where the separate polygons/groups are\\n group_ends = np.where(np.isnan(self._lon))[0]\\n n_groups = len(group_ends)\\n\\n # Check that arrays are the same length\\n if len(self._lon) != len(self._lat) != len(self._depth):\\n raise IndexError(\\n 'Length of input lon, lat, depth arrays must be equal')\\n\\n # Construct quads\\n group_start = 0\\n\\n self._quadrilaterals = []\\n self._group_index = []\\n groupind = 0\\n for i in range(n_groups):\\n lonseg = self._lon[group_start:group_ends[i]]\\n latseg = self._lat[group_start:group_ends[i]]\\n depthseg = self._depth[group_start:group_ends[i]]\\n\\n # Each group can have many contiguous quadrilaterals defined in it\\n # separations (nans) between segments mean that segments are not\\n # contiguous.\\n\\n npoints = len(lonseg)\\n nquads = int((npoints - 4) / 2) + 1\\n quad_start = 0\\n quad_end = -1\\n for j in range(nquads):\\n P0 = Point(lonseg[quad_start],\\n latseg[quad_start],\\n depthseg[quad_start])\\n P1 = Point(lonseg[quad_start + 1],\\n latseg[quad_start + 1],\\n depthseg[quad_start + 1])\\n P2 = Point(lonseg[quad_end - 1],\\n latseg[quad_end - 1],\\n depthseg[quad_end - 1])\\n P3 = Point(lonseg[quad_end],\\n latseg[quad_end],\\n depthseg[quad_end])\\n quad = [P0, P1, P2, P3]\\n\\n # Enforce plane by moving P2 -- already close because of check\\n # in read_rupture_file/is_quadrupture_class/is_quad\\n\\n dummy, fixed_quad = is_quad(quad)\\n\\n # Reverse quad if necessary\\n fixed_quad = self._fixStrikeDirection(fixed_quad)\\n\\n self._quadrilaterals.append(fixed_quad)\\n\\n quad_start = quad_start + 1\\n quad_end = quad_end - 1\\n\\n group_start = group_ends[i] + 1\\n self._group_index.extend([groupind] * nquads)\\n groupind = groupind + 1\",\n \"def grid_coordinates(r, xlim, ylim, shape='square'):\\n if shape == 'square':\\n dx = r\\n dy = r\\n if shape == 'hexagonal':\\n dx = r\\n dy = np.sqrt(3)*dx/2.\\n x = np.arange(xlim[0], xlim[1], dx)\\n y = np.arange(ylim[0], ylim[1], dy)\\n X, Y = np.meshgrid(x, y)\\n if shape == 'hexagonal':\\n X[::2] = X[::2] + dx/2.\\n\\n return X.flatten(), Y.flatten()\",\n \"def _build_grid(self):\\n n = self.params['n']\\n\\n x_min, x_max = min(self.node[:, 0]), max(self.node[:, 0])\\n y_min, y_max = min(self.node[:, 1]), max(self.node[:, 1])\\n xv = np.linspace(x_min, x_max, num=n, endpoint=True)\\n yv = np.linspace(y_min, y_max, num=n, endpoint=True)\\n xg, yg = np.meshgrid(xv, yv, sparse=False, indexing='xy')\\n\\n return xg, yg\",\n \"def get_quad_mesh(q, dx):\\n P0, P1, P2, P3 = q\\n p0 = Vector.fromPoint(P0) # fromPoint converts to ECEF\\n p1 = Vector.fromPoint(P1)\\n p2 = Vector.fromPoint(P2)\\n p3 = Vector.fromPoint(P3)\\n\\n # Get nx based on length of top edge, minimum allowed is 2\\n toplen_km = get_quad_length(q)\\n nx = int(np.max([round(toplen_km / dx, 0) + 1, 2]))\\n\\n # Get array of points along top and bottom edges\\n xfac = np.linspace(0, 1, nx)\\n topp = [p0 + (p1 - p0) * a for a in xfac]\\n botp = [p3 + (p2 - p3) * a for a in xfac]\\n\\n # Get ny based on mean length of vectors connecting top and bottom points\\n ylen_km = np.ones(nx)\\n for i in range(nx):\\n ylen_km[i] = (topp[i] - botp[i]).mag() / 1000\\n ny = int(np.max([round(np.mean(ylen_km) / dx, 0) + 1, 2]))\\n yfac = np.linspace(0, 1, ny)\\n\\n # Build mesh: dict of ny by nx arrays (x, y, z):\\n mesh = {'x': np.zeros([ny, nx]), 'y': np.zeros(\\n [ny, nx]), 'z': np.zeros([ny, nx])}\\n for i in range(nx):\\n mpts = [topp[i] + (botp[i] - topp[i]) * a for a in yfac]\\n mesh['x'][:, i] = [a.x for a in mpts]\\n mesh['y'][:, i] = [a.y for a in mpts]\\n mesh['z'][:, i] = [a.z for a in mpts]\\n\\n # Make arrays of pixel corners\\n mesh['llx'] = mesh['x'][1:, 0:-1]\\n mesh['lrx'] = mesh['x'][1:, 1:]\\n mesh['ulx'] = mesh['x'][0:-1, 0:-1]\\n mesh['urx'] = mesh['x'][0:-1, 1:]\\n mesh['lly'] = mesh['y'][1:, 0:-1]\\n mesh['lry'] = mesh['y'][1:, 1:]\\n mesh['uly'] = mesh['y'][0:-1, 0:-1]\\n mesh['ury'] = mesh['y'][0:-1, 1:]\\n mesh['llz'] = mesh['z'][1:, 0:-1]\\n mesh['lrz'] = mesh['z'][1:, 1:]\\n mesh['ulz'] = mesh['z'][0:-1, 0:-1]\\n mesh['urz'] = mesh['z'][0:-1, 1:]\\n mesh['cpx'] = np.zeros_like(mesh['llx'])\\n mesh['cpy'] = np.zeros_like(mesh['llx'])\\n mesh['cpz'] = np.zeros_like(mesh['llx'])\\n\\n # i and j are indices over subruptures\\n ni, nj = mesh['llx'].shape\\n for i in range(0, ni):\\n for j in range(0, nj):\\n # Rupture corner points\\n pp0 = Vector(\\n mesh['ulx'][i, j], mesh['uly'][i, j], mesh['ulz'][i, j])\\n pp1 = Vector(\\n mesh['urx'][i, j], mesh['ury'][i, j], mesh['urz'][i, j])\\n pp2 = Vector(\\n mesh['lrx'][i, j], mesh['lry'][i, j], mesh['lrz'][i, j])\\n pp3 = Vector(\\n mesh['llx'][i, j], mesh['lly'][i, j], mesh['llz'][i, j])\\n # Find center of quad\\n mp0 = pp0 + (pp1 - pp0) * 0.5\\n mp1 = pp3 + (pp2 - pp3) * 0.5\\n cp = mp0 + (mp1 - mp0) * 0.5\\n mesh['cpx'][i, j] = cp.x\\n mesh['cpy'][i, j] = cp.y\\n mesh['cpz'][i, j] = cp.z\\n return mesh\",\n \"def make_xy_grid(samples_x, samples_y=None, radius=1):\\n if samples_y is None:\\n samples_y = samples_x\\n x = e.linspace(-radius, radius, samples_x, dtype=config.precision)\\n y = e.linspace(-radius, radius, samples_y, dtype=config.precision)\\n xx, yy = e.meshgrid(x, y)\\n return xx, yy\",\n \"def _TwoDMeshGrid(self, num_points, lattice_sizes, input_dims):\\n if input_dims != 2:\\n raise ValueError(\\\"2-d mesh grid is possible only for 2-d lattice. Lattice\\\"\\n \\\" dimension given: %s\\\" % input_dims)\\n return test_utils.two_dim_mesh_grid(\\n num_points=num_points,\\n x_min=0.0,\\n y_min=0.0,\\n x_max=lattice_sizes - 1.0,\\n y_max=lattice_sizes - 1.0)\",\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 xy_mesh(nx, ny, x_min=0, x_max=1, y_min=0, y_max=1):\\n\\n\\tx = np.linspace(x_min, x_max, nx)\\n\\ty = np.linspace(y_min, y_max, ny)\\n\\txv, yv = np.meshgrid(x, y)\\n\\t\\n\\treturn xv, yv\",\n \"def mesh(self):\\n return numpy.meshgrid(*self.edges, indexing='ij')\",\n \"def make_grid(x1_points, **kwargs):\\n x2_points = kwargs.pop('x2_points', x1_points)\\n x1min = kwargs.pop('x1min', 0.0)\\n x1max = kwargs.pop('x1max', 1.0)\\n x2min = kwargs.pop('x2min', 0.0)\\n x2max = kwargs.pop('x2max', 1.0)\\n if kwargs:\\n raise TypeError('Unexpected **kwargs: {0}'.format(kwargs))\\n x1_setup = np.linspace(x1min, x1max, num=x1_points)\\n # flip x2 order to have y increacing on plots' verticle axis\\n x2_setup = np.linspace(x2min, x2max, num=x2_points)[::-1]\\n x1_grid, x2_grid = np.meshgrid(x1_setup, x2_setup)\\n return x1_grid, x2_grid\",\n \"def meshgrid(self):\\n vecs = self.coord_vecs\\n return np.meshgrid(*vecs, indexing='ij')\",\n \"def _create_input_grid(self, x1, x2):\\n return x1.unsqueeze(-2), x2.unsqueeze(-3)\",\n \"def test_quadrature_grid(self):\\n L = 2\\n M = 2\\n N = 0\\n NFP = 1\\n\\n grid_quad = QuadratureGrid(L, M, N, NFP)\\n\\n roots, weights = special.js_roots(3, 2, 2)\\n\\n quadrature_nodes = np.stack(\\n [\\n np.array([roots[0]] * 5 + [roots[1]] * 5 + [roots[2]] * 5),\\n np.array(\\n [0, 2 * np.pi / 5, 4 * np.pi / 5, 6 * np.pi / 5, 8 * np.pi / 5] * 3\\n ),\\n np.zeros(15),\\n ]\\n ).T\\n\\n np.testing.assert_allclose(grid_quad.spacing.prod(axis=1), grid_quad.weights)\\n np.testing.assert_allclose(grid_quad.nodes, quadrature_nodes)\",\n \"def makemesh_regular(data,vecs,grid):\\n\\tdata = beyonder(data,vecs,growsize=0.1)\\n\\txypts = np.array([[i,j] for i in np.linspace(0,vecs[0],grid[0].astype(int)) \\n\\t\\tfor j in np.linspace(0,vecs[1],grid[1].astype(int))])\\n\\tinterp = scipy.interpolate.LinearNDInterpolator(data[:,0:2],data[:,2],fill_value=0.0)\\n\\tbilinear_pts = np.array([[i[0],i[1],interp(i[0],i[1])] for i in xypts])\\n\\tresult = scipy.interpolate.griddata(bilinear_pts[:,0:2],bilinear_pts[:,2],bilinear_pts[:,0:2],\\n\\t\\tmethod='cubic')\\n\\t#---observed that griddata returns points where we cycle through the points in the following\\n\\t#---...order:x0,y0),(x0,y1),...(x0,yn),(x1,y0),... and so on, suggesting that the following \\n\\t#---...reshape command (which reshape function claims to use the \\\"C\\\" programming language convention\\n\\t#---...for reshaping objects by default, which convention has the last index changing \\\"fastest\\\")\\n\\txyz_pts = np.array([[bilinear_pts[i,0],bilinear_pts[i,1],result[i]] for i in range(len(result))])\\n\\treturn np.reshape(xyz_pts[:,2],grid.astype(int))\",\n \"def square_mesh(N):\\n xs,ys = np.meshgrid(np.linspace(0,1,N),np.linspace(0,1,N))\\n xs = xs.flatten(1)\\n ys = ys.flatten(1)\\n _,_,t,_ = triang.delaunay(xs,ys)\\n p = np.vstack((xs,ys)).T\\n\\n return Trimesh(p,t)\",\n \"def make_cartesian(self, grid, axis='z'):\\n if grid.shape != self.shape:\\n raise NotImplementedError('make_cartesian: grid shape mismatch'\\n ' not supported')\\n gt_flat = grid.t.flat\\n r_flat = self.r.flat\\n t_flat = self.t.flat\\n\\n if axis == 'z':\\n self.x = self.r.copy()\\n self.y = self.r.copy()\\n x_flat = self.x.flat\\n y_flat = self.y.flat\\n for i in range(self.r.size):\\n gt = gt_flat[i]\\n sine = sin(gt)\\n cosine = cos(gt)\\n r = r_flat[i]\\n t = t_flat[i]\\n x_flat[i] = r*cosine - t*sine\\n y_flat[i] = r*sine + t*cosine\\n self.r = None\\n self.t = None\\n\\n elif axis == 'x':\\n self.x = self.z\\n self.y = self.r.copy()\\n self.z = self.r.copy()\\n y_flat = self.y.flat\\n z_flat = self.z.flat\\n for i in range(self.r.size):\\n gt = gt_flat[i]\\n sine = sin(gt)\\n cosine = cos(gt)\\n r = r_flat[i]\\n t = t_flat[i]\\n y_flat[i] = r*cosine - t*sine\\n z_flat[i] = r*sine + t*cosine\\n self.r = None\\n self.t = None\\n\\n else:\\n raise ValueError(\\\"axis must be 'z' or 'x'\\\")\",\n \"def meshgrid(i, j, indexing='ij'):\\n if K.ndim(i) != 1 or K.ndim(j) != 1:\\n raise ValueError('need ndim() == 1')\\n if K.backend() == 'tensorflow':\\n import tensorflow as tf\\n I, J = tf.meshgrid(i, j, indexing=indexing)\\n else:\\n assert K.backend() == 'theano'\\n from theano import tensor as T\\n I = T.repeat(i, K.shape(j)[0])\\n J = T.tile(j, K.shape(i)[0])\\n shape = (K.shape(i)[0], K.shape(j)[0])\\n return K.reshape(I, shape), K.reshape(J, shape)\",\n \"def meshup(self, ind='ij'):\\r\\n xv, yv, zv = self.vec()\\r\\n x_reg, y_reg, z_reg = np.meshgrid(xv, yv, zv, indexing=ind)\\r\\n\\r\\n return x_reg, y_reg, z_reg\",\n \"def to_mesh(\\n self,\\n lims_x: array_like = (-1, 1),\\n lims_y: array_like = (-1, 1),\\n ) -> Tuple[np.ndarray, np.ndarray, np.ndarray]:\\n a, b, c, d = self.cartesian()\\n x_center, y_center = self.point[:2]\\n\\n values_x = x_center + lims_x\\n values_y = y_center + lims_y\\n\\n X, Y = np.meshgrid(values_x, values_y)\\n\\n if c != 0:\\n Z = -(a * X + b * Y + d) / c\\n\\n elif b != 0:\\n Z = -(a * X + c * Y + d) / b\\n X, Y, Z = X, Z, Y\\n\\n else:\\n Z = -(b * X + c * Y + d) / a\\n X, Y, Z = Z, X, Y\\n\\n return X, Y, Z\",\n \"def get_2d_cartesian_grid(num_pts_1d, ranges):\\n # from math_tools_cpp import cartesian_product_double as cartesian_product\\n from PyDakota.math_tools import cartesian_product\\n x1 = np.linspace(ranges[0], ranges[1], num_pts_1d)\\n x2 = np.linspace(ranges[2], ranges[3], num_pts_1d)\\n abscissa_1d = []\\n abscissa_1d.append(x1)\\n abscissa_1d.append(x2)\\n grid = cartesian_product(abscissa_1d, 1)\\n return grid\",\n \"def grid(x, y):\\n return product(xrange(1, x+1), xrange(1, y+1))\",\n \"def build_planar_mesh(cellWidth, x, y, geom_points, geom_edges,\\n out_filename='base_mesh.nc', logger=None):\\n\\n with LoggingContext(__name__, logger=logger) as logger:\\n\\n da = xarray.DataArray(cellWidth,\\n dims=['y', 'x'],\\n coords={'y': y, 'x': x},\\n name='cellWidth')\\n cw_filename = 'cellWidthVsXY.nc'\\n da.to_netcdf(cw_filename)\\n\\n logger.info('Step 1. Generate mesh with JIGSAW')\\n jigsaw_driver(cellWidth, x, y, on_sphere=False,\\n geom_points=geom_points, geom_edges=geom_edges,\\n logger=logger)\\n\\n logger.info('Step 2. Convert triangles from jigsaw format to netcdf')\\n jigsaw_to_netcdf(msh_filename='mesh-MESH.msh',\\n output_name='mesh_triangles.nc', on_sphere=False)\\n\\n logger.info('Step 3. Convert from triangles to MPAS mesh')\\n args = ['MpasMeshConverter.x',\\n 'mesh_triangles.nc',\\n out_filename]\\n check_call(args=args, logger=logger)\",\n \"def makegridnd(meshsize, dimension):\\n x = np.meshgrid(*[np.linspace(MIN_POINT_PRECISION, 1,meshsize) for d in range(dimension)])\\n mesh = np.asarray(x)\\n total = np.sum(mesh,axis=0)\\n plane_mesh = mesh[:,np.isclose(total,1.0,atol=1e-2)]\\n\\n return plane_mesh\",\n \"def meshup2d(self, ind='ij'):\\r\\n\\r\\n xv, yv, _ = self.vec()\\r\\n x_reg, y_reg = np.meshgrid(xv, yv, indexing=ind)\\r\\n\\r\\n return x_reg, y_reg\",\n \"def create_local_grid(points: np.ndarray, edge_sides: dict, triangles: np.ndarray,\\n fault_is_plane: bool, resolution: float=5000.0, num_search_tris: int=10):\\n\\n # Edge coordinates.\\n left_edge = edge_sides['left_edge']\\n right_edge = edge_sides['right_edge']\\n bottom_edge = edge_sides['bottom_edge']\\n top_edge = edge_sides['top_edge']\\n\\n # Determine number of points in each direction.\\n left_diffs = np.diff(left_edge, axis=0)\\n left_length = np.sum(np.linalg.norm(left_diffs, axis=1))\\n num_divs_left = left_length/resolution\\n\\n right_diffs = np.diff(right_edge, axis=0)\\n right_length = np.sum(np.linalg.norm(right_diffs, axis=1))\\n num_divs_right = right_length/resolution\\n\\n num_vert_points = int(round(0.5*(num_divs_left + num_divs_right))) + 1\\n\\n bottom_diffs = np.diff(bottom_edge, axis=0)\\n bottom_length = np.sum(np.linalg.norm(bottom_diffs, axis=1))\\n num_divs_bottom = bottom_length/resolution\\n\\n top_diffs = np.diff(top_edge, axis=0)\\n top_length = np.sum(np.linalg.norm(top_diffs, axis=1))\\n num_divs_top = top_length/resolution\\n\\n num_horiz_points = int(round(0.5*(num_divs_bottom + num_divs_top))) + 1\\n num_points = num_vert_points*num_horiz_points\\n\\n # Get interpolated points on edges.\\n ygrid_left = np.linspace(left_edge[0,1], left_edge[-1,1], num=num_vert_points, dtype=np.float64)\\n xgrid_left = np.interp(ygrid_left, left_edge[:,1], left_edge[:,0])\\n zgrid_left = np.interp(ygrid_left, left_edge[:,1], left_edge[:,2])\\n ygrid_right = np.linspace(right_edge[0,1], right_edge[-1,1], num=num_vert_points, dtype=np.float64)\\n xgrid_right = np.interp(ygrid_right, right_edge[:,1], right_edge[:,0])\\n zgrid_right = np.interp(ygrid_right, right_edge[:,1], right_edge[:,2])\\n xgrid_bottom = np.linspace(bottom_edge[0,0], bottom_edge[-1,0], num=num_horiz_points, dtype=np.float64)\\n ygrid_bottom = np.interp(xgrid_bottom, bottom_edge[:,0], bottom_edge[:,1])\\n zgrid_bottom = np.interp(xgrid_bottom, bottom_edge[:,0], bottom_edge[:,2])\\n xgrid_top = np.linspace(top_edge[0,0], top_edge[-1,0], num=num_horiz_points, dtype=np.float64)\\n ygrid_top = np.interp(xgrid_top, top_edge[:,0], top_edge[:,1])\\n zgrid_top = np.interp(xgrid_top, top_edge[:,0], top_edge[:,2])\\n\\n # Create 2D mesh.\\n mesh_points = np.zeros((num_vert_points, num_horiz_points, 3), dtype=np.float64)\\n\\n # We need to do this for points on the boundary, which might fall outside a mesh triangle.\\n if not(fault_is_plane):\\n z = np.zeros((num_vert_points, num_horiz_points), dtype=np.float64)\\n is_mesh_edge = np.zeros((num_vert_points, num_horiz_points), dtype=np.bool)\\n is_mesh_edge[0,:] = True\\n is_mesh_edge[-1,:] = True\\n is_mesh_edge[:,0] = True\\n is_mesh_edge[:,-1] = True\\n z[:,0] = zgrid_left\\n z[:,-1] = zgrid_right\\n z[0,:] = zgrid_bottom\\n z[-1,:] = zgrid_top\\n \\n for row_num in range(num_vert_points):\\n mesh_points[row_num,:,0] = np.linspace(xgrid_left[row_num], xgrid_right[row_num],\\n num=num_horiz_points, dtype=np.float64)\\n for col_num in range(num_horiz_points):\\n mesh_points[:,col_num,1] = np.linspace(ygrid_bottom[col_num], ygrid_top[col_num],\\n num=num_vert_points, dtype=np.float64)\\n\\n # If surface is not a plane, interpolate to get z-coordinates.\\n mesh_points = mesh_points.reshape(num_points, 3)\\n if not(fault_is_plane):\\n is_mesh_edge = is_mesh_edge.reshape(num_points)\\n z = z.reshape(num_points)\\n mesh_points[:,2] = tri_interpolate_zcoords(points, triangles, mesh_points[:,0:2],\\n is_mesh_edge, num_search_tris=num_search_tris)\\n mesh_points[is_mesh_edge,2] = z[is_mesh_edge]\\n\\n return (mesh_points, num_horiz_points, num_vert_points)\",\n \"def flat_2D_grid(bounds, dx, dy):\\n x = np.arange(bounds[0], bounds[1] + dx, dx)\\n y = np.arange(bounds[2], bounds[3] + dy, dy)\\n x_grid, y_grid = np.meshgrid(x, y)\\n x_grid, y_grid = x_grid.flatten(), y_grid.flatten()\\n\\n return pd.DataFrame({'x': x_grid,\\n 'y': y_grid,\\n 'masked': np.zeros(x_grid.size, dtype='bool')})\",\n \"def QuadrilateralProjection(c1=(0,0), c2=(2,0), c3=(2,2), c4=(0,2), points=None, npoints=10, equally_spaced=True):\\n\\n if points is None or not isinstance(points,np.ndarray):\\n if not isinstance(c1,tuple) or not isinstance(c2,tuple) or not isinstance(c3,tuple) or not isinstance(c4,tuple):\\n raise ValueError(\\\"coordinates should be given in tuples of two elements (x,y)\\\")\\n else:\\n c1 = np.array(c1); c2 = np.array(c2); c3 = np.array(c3); c4 = np.array(c4)\\n opoints = np.vstack((c1,c2,c3,c4))\\n else:\\n opoints = points\\n\\n from Florence.FunctionSpace import Quad, QuadES\\n from Florence.QuadratureRules.GaussLobattoPoints import GaussLobattoPointsQuad\\n from Florence.QuadratureRules.EquallySpacedPoints import EquallySpacedPoints\\n\\n npoints = int(npoints)\\n if npoints ==0: npoints=1\\n\\n if equally_spaced:\\n points = EquallySpacedPoints(ndim=3,C=npoints-1)\\n hpBases = QuadES.Lagrange\\n else:\\n points = GaussLobattoPointsQuad(npoints-1)\\n hpBases = Quad.LagrangeGaussLobatto\\n\\n BasesQuad = np.zeros((4,points.shape[0]),dtype=np.float64)\\n for i in range(points.shape[0]):\\n BasesQuad[:,i] = hpBases(0,points[i,0],points[i,1],arrange=1)[:,0]\\n\\n node_arranger = NodeArrangementQuad(npoints-1)[2]\\n\\n qmesh = Mesh()\\n qmesh.Square(lower_left_point=(-1.,-1.), side_length=2,n=npoints, element_type=\\\"quad\\\")\\n quads = qmesh.elements\\n\\n\\n nnode = qmesh.nnode\\n nelem = qmesh.nelem\\n nsize = int((npoints+1)**2)\\n\\n mesh = Mesh()\\n mesh.points = np.dot(BasesQuad.T, opoints)\\n\\n _, inv = np.unique(quads,return_inverse=True)\\n sorter = np.argsort(node_arranger)\\n mesh.elements = sorter[inv].reshape(quads.shape)\\n\\n mesh.element_type=\\\"quad\\\"\\n mesh.nelem = mesh.elements.shape[0]\\n mesh.nnode = mesh.points.shape[0]\\n mesh.GetBoundaryEdges()\\n\\n return mesh\",\n \"def get_meshgrid(self, dim: int = 2) -> list:\\n if dim != 2:\\n raise NotImplementedError\\n vectors = [self.get_ticks(ax) for ax in range(dim)]\\n vectors.reverse()\\n return np.meshgrid(*vectors)\",\n \"def cmesh(self):\\n return numpy.meshgrid(*self.centers, indexing='ij')\",\n \"def create_grid(xlim, ylim, step):\\n x_range = np.arange(xlim[0], xlim[1], step)\\n y_range = np.arange(ylim[0], ylim[1], step)\\n return x_range, y_range\",\n \"def get_gridded_parameters(q, xparam=\\\"x\\\", yparam=\\\"y\\\", zparam=\\\"z\\\"):\\n plotParamDF = q[ [xparam, yparam, zparam] ]\\n plotParamDF[xparam] = plotParamDF[xparam].tolist()\\n plotParamDF[yparam] = np.round(plotParamDF[yparam].tolist(), 1)\\n plotParamDF = plotParamDF.groupby( [xparam, yparam] ).mean().reset_index()\\n plotParamDF = plotParamDF[ [xparam, yparam, zparam] ].pivot( xparam, yparam )\\n x = plotParamDF.index.values\\n y = plotParamDF.columns.levels[1].values\\n X, Y = np.meshgrid( x, y )\\n # Mask the nan values! pcolormesh can't handle them well!\\n Z = np.ma.masked_where(\\n np.isnan(plotParamDF[zparam].values),\\n plotParamDF[zparam].values)\\n return X,Y,Z\",\n \"def regrid(xi, yi, zi, xo, yo):\\n xi = common.lon180(xi)\\n xo = common.lon180(xo)\\n\\n idx = dict((k, i) for i, k in enumerate(xi))\\n selx = [idx[i] for i in xo]\\n idy = dict((k, i) for i, k in enumerate(yi))\\n sely = [idy[i] for i in yo]\\n selX, selY = numpy.meshgrid(selx, sely)\\n return zi[selY, selX]\",\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 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 test_get_meshgrid(mock_grid):\\n\\n windows = [corr_window.CorrWindow(j, 0, WS=127) for j in range(0, 129, 64)]\\n mock_grid._array[0] = windows\\n windows = [corr_window.CorrWindow(0, i, WS=127) for i in range(0, 193, 64)]\\n for ii in range(1, 4):\\n mock_grid._array[ii][0] = windows[ii]\\n\\n expx, expy = np.meshgrid([0, 64, 128], [0, 64, 128, 192])\\n actx, acty = mock_grid.get_meshgrid()\\n\\n assert np.all(actx == expx)\\n assert np.all(acty == expy)\",\n \"def make_grid(N):\\n\\n x = np.linspace(-2. , 2 , N)\\n y = np.linspace(-2. , 2 , N)\\n # two evenly spaced grids from -2 to 2\\n\\n return x, y\",\n \"def convert_meshgrid(g, op, block):\\n\\n inputs = op.input(\\\"X\\\")\\n x = [g.get_node(i) for i in inputs]\\n outs = _op.meshgrid(x, indexing=\\\"ij\\\")\\n for i, out in enumerate(outs):\\n g.add_node(op.output(\\\"Out\\\")[i], out)\",\n \"def test_Grid_creates_array_space():\\n\\n # create dummy meshgrid\\n img_dim, spacing = (193, 193), 64\\n x_vec = np.arange(0, img_dim[1], spacing)\\n y_vec = np.arange(0, img_dim[0], spacing)\\n xx, yy = np.meshgrid(x_vec, y_vec)\\n\\n # create Grid\\n g = mg.Grid(img_dim, spacing)\\n\\n assert g.ny == len(y_vec)\\n assert g.nx == len(x_vec)\",\n \"def meshgridflat(*args, copy=False):\\n outputs = np.meshgrid(*args, indexing='ij', copy=copy) # type: Iterable[np.ndarray]\\n outputs = [v.flatten() for v in outputs]\\n return outputs\",\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 compute_mesh(nrow, ncol, nele):\\n tri_index = np.zeros((nele, 3))\\n for i in range(nrow-1):\\n for j in range(NUM):\\n if j == 0:\\n tri_index[i*4*NUM+j*4, 0] = (i+1)+(2*j+1)*nrow\\n tri_index[i*4*NUM+j*4, 1] = (i+1)\\n tri_index[i*4*NUM+j*4, 2] = (i+2)\\n\\n tri_index[i*4*NUM+j*4+1, 0] = (i+1)+(2*j+1)*nrow\\n tri_index[i*4*NUM+j*4+1, 1] = (i+2)\\n tri_index[i*4*NUM+j*4+1, 2] = (i+2)+(2*j+1)*nrow\\n else:\\n tri_index[i*4*NUM+j*4, 0] = (i+1)+(2*j+1)*nrow\\n tri_index[i*4*NUM+j*4, 1] = (i+1)+(2*j-1)*nrow\\n tri_index[i*4*NUM+j*4, 2] = (i+2)+(2*j-1)*nrow\\n\\n tri_index[i*4*NUM+j*4+1, 0] = (i+1)+(2*j+1)*nrow\\n tri_index[i*4*NUM+j*4+1, 1] = (i+2)+(2*j-1)*nrow\\n tri_index[i*4*NUM+j*4+1, 2] = (i+2)+(2*j+1)*nrow\\n \\n tri_index[i*4*NUM+j*4+2, 0] = (i+1)+2*j*nrow\\n tri_index[i*4*NUM+j*4+2, 1] = (i+1)+2*(j+1)*nrow\\n tri_index[i*4*NUM+j*4+2, 2] = (i+2)+2*(j+1)*nrow\\n\\n tri_index[i*4*NUM+j*4+3, 0] = (i+1)+2*j*nrow\\n tri_index[i*4*NUM+j*4+3, 1] = (i+2)+2*(j+1)*nrow\\n tri_index[i*4*NUM+j*4+3, 2] = (i+2)+2*j*nrow\\n return tri_index\",\n \"def DoubleCoupleGridRegular(magnitudes=[1.], npts_per_axis=40):\\n v = 0.\\n w = 0.\\n\\n kappa = regular(0., 360, npts_per_axis)\\n sigma = regular(-90., 90., npts_per_axis)\\n h = regular(0., 1., npts_per_axis)\\n rho = list(map(to_rho, asarray(magnitudes)))\\n\\n return Grid(\\n dims=('rho', 'v', 'w', 'kappa', 'sigma', 'h'),\\n coords=(rho, v, w, kappa, sigma, h),\\n callback=to_mt)\",\n \"def CreateTargetGeoField(nbtimestep,latlen,lonlen):\\n\\n pres_grid = np.zeros((nbtimestep, latlen, lonlen))\\n u_grid = np.zeros((nbtimestep, latlen, lonlen))\\n v_grid = np.zeros((nbtimestep, latlen, lonlen))\\n\\n return pres_grid,u_grid,v_grid\",\n \"def getQuadrilaterals(self):\\n ugroup = np.unique(self._group_index)\\n ngroup = len(ugroup)\\n qlist = []\\n for i in range(ngroup):\\n ind = np.where(self._group_index == ugroup[i])[0]\\n nq = len(ind) - 1\\n for j in range(nq):\\n P0 = Point(self._toplons[j],\\n self._toplats[j],\\n self._topdeps[j])\\n P1 = Point(self._toplons[j + 1],\\n self._toplats[j + 1],\\n self._topdeps[j + 1])\\n P2 = Point(self._botlons[j + 1],\\n self._botlats[j + 1],\\n self._botdeps[j + 1])\\n P3 = Point(self._botlons[j],\\n self._botlats[j],\\n self._botdeps[j])\\n qlist.append([P0, P1, P2, P3])\\n\\n return qlist\",\n \"def get_par_meshgrid(self, copy=False, sparse=False): \\n axes = []\\n for i in range(self.get_n_dimensions()):\\n axes.append(self.dims[i].values_strs)\\n return np.meshgrid(*axes, copy, sparse, indexing='ij')\",\n \"def plot_2D_edp(self, xmin=-100, xmax=100, zmin=-100, zmax=100, N=201):\\n rho_xz = []\\n xgrid = np.linspace(xmin, xmax, num=N)\\n zgrid = np.linspace(zmin, zmax, num=N)\\n for x in xgrid:\\n for z in zgrid:\\n tmp = self.phase * self.F * np.cos(self.qx*x+self.qz*z)\\n rho_xz.append([x, z, tmp.sum(axis=0)])\\n rho_xz = np.array(rho_xz, float) \\n X, Y, Z= rho_xz[:,0], rho_xz[:,1], rho_xz[:,2]\\n #Y = rho_xz[:,1]\\n #Z = rho_xz[:,2]\\n X.shape = (N, N)\\n Y.shape = (N, N)\\n Z.shape = (N, N)\\n plt.figure()\\n plt.contourf(X, Y, Z)\",\n \"def mesh_generation(coordinates):\\n # Get the minimum and maximum for the latitudes\\n min_latitude = np.min(coordinates[:, 0])\\n max_latitude = np.max(coordinates[:, 0])\\n # Get the minimum and maximum for the longitudes\\n min_longitude = np.min(coordinates[:, 1])\\n max_longitude = np.max(coordinates[:, 1])\\n # Get the number of provided coordinates\\n size = int(np.min([1e5, np.max([5e4, len(coordinates)])]))\\n # Create an array of uniform-random points as a mesh\\n mesh_1 = np.random.uniform(min_latitude, max_latitude, size)\\n mesh_2 = np.random.uniform(min_longitude, max_longitude, size)\\n mesh = np.vstack((mesh_1.flatten(), mesh_2.flatten())).T\\n # Return the evenly-spaced mesh for the coordinates\\n return mesh\",\n \"def make_grid(data=None, xmin=-5, xmax=5, ymin=-5, ymax=5, n_points = 400):\\n if data is not None:\\n xmin, ymin = np.min(data, axis = 0)\\n xmax, ymax = np.max(data, axis = 0)\\n\\n plt.ylim(ymin, ymax)\\n plt.xlim(xmin, xmax)\\n\\n x, y = np.meshgrid(np.linspace(xmin, xmax, n_points), np.linspace(ymin, ymax, n_points))\\n grid = np.c_[x.ravel(), y.ravel()] # grid has n_points ^2 row and 2 columns\\n return x, y, grid\",\n \"def construct_simplex_meshgrid(ng, dimSimplex):\\n t_list = np.linspace(0, 1, ng)\\n tmp = np.array(np.meshgrid(*[t_list for i in range(dimSimplex - 1)]))\\n m = np.zeros([tmp[0].ravel().shape[0], dimSimplex])\\n for i in range(dimSimplex - 1):\\n m[:, i] = tmp[i].ravel()\\n m[:, dimSimplex - 1] = 1 - np.sum(m, axis=1)\\n return (m[m[:, -1] >= 0, :])\",\n \"def grid(x, y, z, resX=100, resY=100):\\n x = x.flatten()\\n y = y.flatten()\\n z = z.flatten()\\n xi = linspace(min(x), max(x), resX)\\n yi = linspace(min(y), max(y), resY)\\n zi = griddata(x, y, z, xi, yi, interp='linear')\\n return xi, yi, zi\",\n \"def getQuadrilaterals(self):\\n pass\",\n \"def __init__(self, dx = 1., dy = 1., nx = 1, ny = 1,\\n _RepresentationClass=_Grid2DRepresentation, _TopologyClass=_Mesh2DTopology):\\n\\n self.args = {\\n 'dx': dx,\\n 'dy': dy,\\n 'nx': nx,\\n 'ny': ny\\n }\\n\\n self.nx = nx\\n self.ny = ny\\n\\n self.numberOfHorizontalFaces = self.nx * (self.ny + 1)\\n self.numberOfVerticalFaces = self.ny * (self.nx + 1)\\n self.numberOfEachDiagonalFaces = self.nx * self.ny\\n\\n self.dx = PhysicalField(value = dx)\\n scale = PhysicalField(value = 1, unit = self.dx.unit)\\n self.dx /= scale\\n\\n self.dy = PhysicalField(value = dy)\\n if self.dy.unit.isDimensionless():\\n self.dy = dy\\n else:\\n self.dy /= scale\\n\\n self.numberOfCornerVertices = (self.nx + 1) * (self. ny + 1)\\n self.numberOfCenterVertices = self.nx * self.ny\\n self.numberOfTotalVertices = self.numberOfCornerVertices + self.numberOfCenterVertices\\n\\n self.offset = (0, 0)\\n\\n vertices = self._createVertices()\\n faces = self._createFaces()\\n\\n cells = self._createCells()\\n cells = numerix.sort(cells, axis=0)\\n\\n Mesh2D.__init__(self, vertices, faces, cells,\\n _RepresentationClass=_RepresentationClass, _TopologyClass=_TopologyClass)\\n\\n self.scale = scale\",\n \"def two_plane_obj_points(grid_size, dx):\\r\\n objp_xy = np.zeros((grid_size[0]*grid_size[1], 3), np.float32)\\r\\n objp_yz = np.zeros((grid_size[1]*grid_size[2], 3), np.float32)\\r\\n objp_xy[:,:2] = np.mgrid[0:grid_size[0], 0:grid_size[1]].T.reshape(-1, 2)\\r\\n objp_yz[:,1:3] = np.mgrid[0:grid_size[1], 0:grid_size[2]].T.reshape(-1, 2)\\r\\n\\r\\n return objp_xy*dx, objp_yz*dx\",\n \"def _construct_r_grid(n, dr=None, r=None):\\n if dr is None and r is None:\\n # default value, we don't care about the scaling since the mesh size was not provided\\n dr = 1.0\\n\\n if dr is not None and r is not None:\\n raise ValueError('Both r and dr input parameters cannot be specified at the same time')\\n elif dr is None and r is not None:\\n if r.ndim != 1 or r.shape[0] != n:\\n raise ValueError('The input parameter r should be a 1D array'\\n 'of shape = ({},), got shape = {}'.format(n, r.shape))\\n # not so sure about this, needs verification\\n dr = np.gradient(r) \\n\\n else:\\n if isinstance(dr, np.ndarray):\\n raise NotImplementedError\\n r = (np.arange(n) + 0.5)*dr\\n return r, dr\",\n \"def make_coordinate_grid(spatial_size, type):\\n h, w = spatial_size\\n x = torch.arange(w).type(type)\\n y = torch.arange(h).type(type)\\n x = 2 * (x / (w - 1)) - 1\\n y = 2 * (y / (h - 1)) - 1\\n yy = y.view(-1, 1).repeat(1, w)\\n xx = x.view(1, -1).repeat(h, 1)\\n meshed = torch.cat([xx.unsqueeze_(2), yy.unsqueeze_(2)], 2)\\n return meshed\",\n \"def interp_2D(data_grid, info=ProcessInfo()):\\n print('Interpolating data...')\\n meth = info.INTERP_METHOD # Get method for interpolating\\n print(meth)\\n\\n xy_grid = np.nonzero(data_grid)\\n z_grid = data_grid[xy_grid]\\n grid_x, grid_y = np.mgrid[0:1000:1000j, 0:1000:1000j]\\n interp_grid = interpolate.griddata(xy_grid, z_grid, (grid_x, grid_y), method=meth)\\n\\n return interp_grid\",\n \"def uniform_mesh(n, x_0=0.0, x_1=1.0):\\n\\n assert n>0\\n\\n\\n points = x_0 + (x_1 - x_0)*numpy.arange(n+1,dtype=numpy.float)/n\\n boundary = {(0, 0): 'left', (n-1, 1): 'right'}\\n\\n return points, boundary\",\n \"def _nd_plot_grid(self, **kwargs):\\n\\n from matplotlib.lines import Line2D\\n from pesummary.core.plots.publication import pcolormesh\\n\\n # only add to corner plot if plotting on an existing figure\\n if \\\"fig\\\" not in kwargs:\\n raise TypeError(\\n \\\"Can only add Grid results to an existing corner plot showing samples\\\"\\n )\\n\\n colors = kwargs.pop(\\\"colors\\\")\\n\\n fig = kwargs.pop(\\\"fig\\\")\\n ax = fig.axes\\n\\n quantiles = kwargs.pop(\\\"quantiles\\\", None)\\n grid2d = kwargs.pop(\\\"grid2d\\\", False)\\n\\n for i, (label, grid) in enumerate(self._grids.items()):\\n plotkwargs = {}\\n plotkwargs[\\\"color\\\"] = colors[i]\\n plotkwargs[\\\"label\\\"] = label\\n\\n axidx = 0\\n for j, param in enumerate(self.parameters):\\n x = grid[0].sample_points[param]\\n pdf = np.exp(\\n grid[0].marginalize_ln_posterior(not_parameters=param) - grid[1]\\n )\\n\\n ax[axidx].plot(x, pdf, **plotkwargs)\\n\\n if quantiles is not None:\\n low, high = self._credible_interval_grid(\\n grid[0], param, interval=quantiles\\n )\\n ax[axidx].axvline(low, color=colors[i], ls=\\\"--\\\")\\n ax[axidx].axvline(high, color=colors[i], ls=\\\"--\\\")\\n\\n # plot 2D posteriors\\n if grid2d:\\n meshkwargs = {}\\n meshkwargs[\\\"zorder\\\"] = kwargs.get(\\\"zorder\\\", -10)\\n meshkwargs[\\\"shading\\\"] = kwargs.get(\\\"shading\\\", \\\"gouraud\\\")\\n\\n if \\\"cmap\\\" not in kwargs:\\n if colors[i] in COLOR_MAP:\\n meshkwargs[\\\"cmap\\\"] = COLOR_MAP[colors[i]]\\n else:\\n meshkwargs[\\\"cmap\\\"] = kwargs[\\\"cmap\\\"]\\n\\n for k in range(j + 1, self._num_parameters):\\n y = grid[0].sample_points[self.parameters[k]]\\n density = np.exp(\\n grid[0].marginalize_ln_posterior(\\n not_parameters=[param, self.parameters[k]]\\n )\\n - grid[1]\\n )\\n\\n # set orientation of the 2D grid\\n p1idx = grid[0].parameter_names.index(param)\\n p2idx = grid[0].parameter_names.index(self.parameters[k])\\n if p1idx < p2idx:\\n # transpose density\\n density = density.T\\n\\n axyidx = axidx + (k - j) * self._num_parameters\\n pcolormesh(x, y, density, ax=ax[axyidx], **meshkwargs)\\n\\n axidx += self._num_parameters + 1\\n\\n # update the legend\\n handles = []\\n for legtext, leghandle in zip(\\n fig.legends[0].texts, fig.legends[0].legendHandles\\n ):\\n label = legtext.get_text()\\n legcolor = leghandle.get_color()\\n\\n handles.append(Line2D([], [], color=legcolor, label=label))\\n\\n for i, label in enumerate(self._grids):\\n for line in ax[0].get_lines():\\n linecolor = line.get_color()\\n # test that colours are the same\\n if linecolor == colors[i]:\\n handles.append(Line2D([], [], color=linecolor, label=label))\\n break\\n\\n # remove original legend\\n fig.legends = []\\n\\n # re-add legend\\n fig.legend(handles=handles, frameon=False, loc=\\\"upper right\\\")\\n\\n return fig\",\n \"def create_grid(self):\\n # Domain definition\\n network = pp.FractureNetwork2d(self.frac_pts.T, self.frac_edges.T, domain=self.box)\\n gb = network.mesh(self.mesh_args) \\n pp.contact_conditions.set_projections(gb)\\n\\n self.gb = gb\\n self.Nd = self.gb.dim_max()\\n self._Nd = self.gb.dim_max()\\n g2d = self.gb.grids_of_dimension(2)[0]\\n self.min_face = np.copy(self.mesh_size) #np.min(g2d.face_areas)\\n self.min_cell = np.min(g2d.cell_volumes)\\n self.p, self.t = analysis.adjustmesh(g2d, self.tips, self.GAP)\\n self.displacement = self.p*0\\n self.fa_no = g2d.face_nodes.indices.reshape((2, g2d.num_faces), order='f').T \\n return gb\",\n \"def test_init_multigrid():\\n\\n img_dim = (500, 750)\\n h = 64\\n\\n # expected grid\\n xv, yv = (np.arange(0, img_dim[1], h),\\n np.arange(0, img_dim[0], h))\\n x_exp, y_exp = np.meshgrid(xv, yv)\\n\\n # actual\\n amg = mg.MultiGrid(img_dim, h, WS=127)\\n x_act, y_act = amg.x, amg.y\\n\\n assert np.allclose(x_act, x_exp.ravel())\\n assert np.allclose(y_act, y_exp.ravel())\",\n \"def cloudy_grid_surface(**kwargs):\\n\\n p = copy.copy(params)\\n for key,val in kwargs.items():\\n setattr(p,key,val)\\n\\n cloudy_library = clo.library()\\n model_number_matrix,grid_table = cloudy_library._restore_grid_table(grid_ext=p.grid_ext)\\n\\n fig = plt.figure(figsize=(10,7))\\n ax = plt.axes(projection='3d')\\n\\n key1, key2 = list(p.cloudy_param.keys())[0],list(p.cloudy_param.keys())[1]\\n value1, value2 = list(p.cloudy_param.values())[0],list(p.cloudy_param.values())[1]\\n\\n # Decide on what goes on x and y axis\\n cloudy_parameters = np.array(['NH','FUV','hden','Z'])\\n x_index = cloudy_parameters[(cloudy_parameters != key1) &\\\\\\n (cloudy_parameters != key2)][0]\\n y_index = cloudy_parameters[(cloudy_parameters != key1) &\\\\\\n (cloudy_parameters != key2)][1]\\n\\n # Cut in grid table\\n grid_table_cut = grid_table.iloc[np.where((grid_table[key1].values == value1) & \\\\\\n (grid_table[key2].values == value2))[0]]\\n x, y = grid_table_cut[x_index].values, grid_table_cut[y_index].values\\n X, Y = np.meshgrid(np.unique(grid_table_cut[x_index].values), np.unique(grid_table_cut[y_index].values))\\n\\n # Plot line ratio?\\n if '_' in p.line:\\n L1 = grid_table_cut[p.line.split('_')[0]].values\\n L2 = grid_table_cut[p.line.split('_')[1]].values\\n L2[L2 == 0] = 1e9\\n line_lum = (L1/L2).astype(float)\\n vmin = np.min(np.log10(line_lum[L2 < 1e9]))\\n\\n else:\\n line_lum = grid_table_cut[p.line].values.astype(float)\\n vmin = np.min(np.log10(line_lum[line_lum > 0]))\\n\\n lum = np.log10(line_lum)\\n lum = lum.reshape([len(np.unique(x)), len(np.unique(y))]).T\\n\\n # ########## Patching the grid !!\\n # line_lum[np.isnan(line_lum)] = -1 # what are these?\\n # # 0 values: not sure if we have any?\\n # line_lum[line_lum == 0] = np.min(line_lum[line_lum > 0])\\n # # Negative numbers: missing grid point\\n # i_missing = np.where(line_lum < 0)[0]\\n # while len(i_missing) > 0:\\n # lum = np.log10(line_lum)\\n # for i in i_missing:\\n # # print(lum[i-1],lum[i+1])\\n # try: \\n # lum[i] = (lum[i-1] + lum[i+1])/ 2\\n # except:\\n # pass\\n # # print('he',np.isnan(lum[i]))\\n # if np.isnan(lum[i]):\\n # try:\\n # lum[i] = lum[i-1] \\n # except:\\n # pass\\n # if np.isnan(lum[i]):\\n # try:\\n # lum[i] = lum[i+1] \\n # except:\\n # pass \\n # line_lum[i] = 10.**lum[i]\\n # # print(i,lum[i])\\n # i_missing = np.where(line_lum < 0)[0]\\n # ########## End of patching\\n\\n\\n # pdb.set_trace()\\n ax.plot_surface(X, Y, lum, cmap=\\\"autumn_r\\\", vmin=vmin, lw=0, rstride=1, cstride=1,alpha=0.8)\\n\\n ax.set_xlabel('\\\\n\\\\n' + getlabel('l'+x_index))\\n ax.set_ylabel('\\\\n\\\\n' + getlabel('l'+y_index))\\n\\n try:\\n ax.set_zlabel('\\\\n\\\\n' + getlabel('l%s' % p.line))\\n except:\\n ax.set_zlabel('\\\\n\\\\n log ' + p.line.replace('_','/'))\\n\\n\\n ax.scatter(x[line_lum > 10.**vmin],y[line_lum > 10.**vmin],np.log10(line_lum[line_lum > 10.**vmin]),\\\\\\n 'o',c=np.log10(line_lum[line_lum > 10.**vmin]),cmap='autumn_r',s=50)\\n\\n # print(x)\\n # print(line_lum)\\n ax.view_init(30, p.angle)\\n\\n if p.savefig:\\n if not os.path.isdir(p.d_plot + 'look-up/'): os.mkdir(p.d_plot + 'look-up/') \\n plt.savefig(p.d_plot + 'look-up/cloudy_grid_%s.%s' % (p.line, p.format), format=p.format, dpi=300) \\n # pdb.set_trace()\",\n \"def g2Dto1Dgrid(g2D, grid, average_grid=False):\\n\\n g2D = np.array(g2D)\\n grid = np.array(grid)\\n\\n g1D_dic = DictList() # hash table of radii and values at radii\\n\\n for i in range(g2D.shape[0]):\\n for j in range(g2D.shape[1]):\\n g1D_dic[grid[i, j]] += [g2D[i, j]]\\n\\n g1D = np.array(list(map(\\n lambda radius: [radius, np.mean(g1D_dic[radius])],\\n sorted(g1D_dic))))\\n\\n if not(average_grid): return g1D\\n\\n g2D_cylindrical = np.zeros(grid.shape)\\n for radius, mean_g in zip(*np.transpose(g1D)):\\n for i, j in zip(*np.where(grid == radius)):\\n g2D_cylindrical[i, j] = mean_g\\n\\n return g1D, g2D_cylindrical\",\n \"def _build_quadrant_indices(self, xval: Union[np.ndarray, da.Array], yval: Union[np.ndarray, da.Array]):\\n\\n xmin, ymin = self.mins\\n xmax, ymax = self.maxs\\n xmid = (0.5 * (xmin + xmax)).astype(xmin.dtype)\\n ymid = (0.5 * (ymin + ymax)).astype(ymin.dtype)\\n\\n # split the data into four quadrants\\n xval_lessthan = xval <= xmid\\n xval_greaterthan = xval >= xmid\\n yval_lessthan = yval <= ymid\\n yval_greaterthan = yval >= ymid\\n\\n idx = np.array(self.index)\\n index_q0 = idx[xval_lessthan & yval_greaterthan].tolist() # top left\\n index_q1 = idx[xval_greaterthan & yval_greaterthan].tolist() # top left\\n index_q2 = idx[xval_lessthan & yval_lessthan].tolist() # top left\\n index_q3 = idx[xval_greaterthan & yval_lessthan].tolist() # top left\\n\\n return index_q0, index_q1, index_q2, index_q3, xmin, xmax, ymin, ymax, xmid, ymid\",\n \"def create_grid(grid):\\r\\n for i in range (4):\\r\\n grid.append ([])\\r\\n for j in range (4):\\r\\n grid[i].append (0)\",\n \"def make_grid(lat_values, lon_values, np_lat, np_lon):\\n \\n coordsys = iris.coord_systems.RotatedGeogCS(np_lat, np_lon)\\n \\n latitude = iris.coords.DimCoord(lat_values,\\n standard_name='latitude',\\n units='degrees_north',\\n coord_system=coordsys)\\n longitude = iris.coords.DimCoord(lon_values, \\n standard_name='longitude',\\n units='degrees_east',\\n coord_system=coordsys)\\n\\n dummy_data = numpy.zeros((len(lat_values), len(lon_values)))\\n new_cube = iris.cube.Cube(dummy_data, dim_coords_and_dims=[(latitude, 0), (longitude, 1)])\\n \\n return new_cube\",\n \"def create_square_triangle_mesh():\\n vertices = np.array(\\n ((0, 0, 0), (1, 0, 0), (0, 1, 0), (1, 1, 0), (0.5, 0.5, 0)),\\n dtype=np.float32)\\n faces = np.array(\\n ((0, 1, 4), (1, 3, 4), (3, 2, 4), (2, 0, 4)), dtype=np.int32)\\n return vertices, faces\",\n \"def create_square_grid(self, len_side_a, len_side_b):\\n if (len_side_a < 2) or (len_side_b < 2):\\n raise ValueError('side length attributes for HexagonalCells should be at least 2.')\\n\\n self.connections, self.weights = create_grid_square_cells(len_side_a, len_side_b)\\n self.shape = (len_side_a, len_side_b)\\n\\n # populate the dictionary from cell coordinates to cell indexes in arrays connection and weights\\n for i in range(len_side_a):\\n for j in range(len_side_b):\\n self.dict_cell_id_to_ind[(i, j)] = j + i*len_side_b\",\n \"def get_grid_mesh_coordinates(bbox, spacings=(1,1,1), dot_spacing=1, include_borderline=True):\\n\\n xmin,xmax,ymin,ymax,zmin,zmax = bbox\\n\\n xdim, ydim, zdim = (xmax+1-xmin, ymax+1-ymin, zmax+1-zmin)\\n\\n xs = np.arange(0, xdim, spacings[0])\\n ys = np.arange(0, ydim, spacings[1])\\n zs = np.arange(0, zdim, spacings[2])\\n\\n vol = np.zeros((ydim, xdim, zdim), np.bool)\\n xs = xs.astype(np.int)\\n ys = ys.astype(np.int)\\n zs = zs.astype(np.int)\\n xs = xs[(xs >= 0) & (xs < xdim)]\\n ys = ys[(ys >= 0) & (ys < ydim)]\\n zs = zs[(zs >= 0) & (zs < zdim)]\\n if include_borderline:\\n if 0 not in xs:\\n xs = np.r_[0, xs, xdim-1]\\n else:\\n xs = np.r_[xs, xdim-1]\\n if 0 not in ys:\\n ys = np.r_[0, ys, ydim-1]\\n else:\\n ys = np.r_[ys, ydim-1]\\n if 0 not in zs:\\n zs = np.r_[0, zs, zdim-1]\\n else:\\n zs = np.r_[zs, zdim-1]\\n for y in ys:\\n vol[y, xs, ::dot_spacing] = 1\\n vol[y, ::dot_spacing, zs] = 1\\n for x in xs:\\n vol[ys, x, ::dot_spacing] = 1\\n vol[::dot_spacing, x, zs] = 1\\n for z in zs:\\n vol[ys, ::dot_spacing, z] = 1\\n vol[::dot_spacing, xs, z] = 1\\n\\n ys, xs, zs = np.nonzero(vol)\\n\\n return np.c_[xs, ys, zs] + (xmin,ymin,zmin)\",\n \"def eval_2d_mesh(xmin, ymin, xmax, ymax, nx, ny, eval_fun):\\n if xmin > xmax:\\n raise ValueError(\\\"xmin (%.2f) was greater than\\\"\\n \\\"xmax (%.2f)\\\" % (xmin, xmax))\\n if ymin > ymax:\\n raise ValueError(\\\"ymin (%.2f) was greater than\\\"\\n \\\"ymax (%.2f)\\\" % (xmin, xmax))\\n if nx < 1 or ny < 1:\\n raise ValueError(\\\"nx (%.2f) or ny (%.2f) was less than 1\\\" % (nx, ny))\\n X = np.linspace(xmin, xmax, nx)\\n lenx = len(X)\\n Y = np.linspace(ymin, ymax, ny)\\n leny = len(Y)\\n X, Y = np.meshgrid(X, Y)\\n Z = np.zeros((leny, lenx))\\n for i in range(leny):\\n for j in range(lenx):\\n Z[i][j] = eval_fun(np.array([X[i][j], Y[i][j]]))\\n return (X, Y, Z)\",\n \"def create_grid(grid):\\r\\n inner = [0]*4\\r\\n for i in range(4):\\r\\n grid.append(inner[:])\",\n \"def mesh2grid(v, x, z):\\n lx = x.max() - x.min()\\n lz = z.max() - z.min()\\n nn = v.size\\n mesh = _stack(x, z)\\n\\n nx = np.around(np.sqrt(nn*lx/lz))\\n nz = np.around(np.sqrt(nn*lz/lx))\\n dx = lx/nx\\n dz = lz/nz\\n\\n # construct structured grid\\n x = np.linspace(x.min(), x.max(), nx)\\n z = np.linspace(z.min(), z.max(), nz)\\n X, Z = np.meshgrid(x, z)\\n grid = _stack(X.flatten(), Z.flatten())\\n\\n # interpolate to structured grid\\n V = scipy.interpolate.griddata(mesh, v, grid, 'linear')\\n\\n # workaround edge issues\\n if np.any(np.isnan(V)):\\n W = scipy.interpolate.griddata(mesh, v, grid, 'nearest')\\n for i in np.where(np.isnan(V)):\\n V[i] = W[i]\\n\\n return np.reshape(V, (nz, nx))\",\n \"def create_grid_and_edges(data, drone_altitude, safety_distance):\\n # minimum and maximum north coordinates\\n north_min = np.floor(np.min(data[:, 0] - data[:, 3]))\\n north_max = np.ceil(np.max(data[:, 0] + data[:, 3]))\\n\\n # minimum and maximum east coordinates\\n east_min = np.floor(np.min(data[:, 1] - data[:, 4]))\\n east_max = np.ceil(np.max(data[:, 1] + data[:, 4]))\\n\\n # given the minimum and maximum coordinates we can\\n # calculate the size of the grid.\\n north_size = int(np.ceil(north_max - north_min))\\n east_size = int(np.ceil(east_max - east_min))\\n\\n # Initialize an empty grid\\n grid = np.zeros((north_size, east_size))\\n # Initialize an empty list for Voronoi points\\n points = []\\n # Populate the grid with obstacles\\n for i in range(data.shape[0]):\\n north, east, alt, d_north, d_east, d_alt = data[i, :]\\n if alt + d_alt + safety_distance > drone_altitude:\\n obstacle = [\\n int(np.clip(north - d_north - safety_distance - north_min, 0, north_size-1)),\\n int(np.clip(north + d_north + safety_distance - north_min, 0, north_size-1)),\\n int(np.clip(east - d_east - safety_distance - east_min, 0, east_size-1)),\\n int(np.clip(east + d_east + safety_distance - east_min, 0, east_size-1)),\\n ]\\n grid[obstacle[0]:obstacle[1]+1, obstacle[2]:obstacle[3]+1] = 1\\n # add center of obstacles to points list\\n points.append([north - north_min, east - east_min])\\n\\n graph = Voronoi(points)\\n\\n edges = []\\n for v in graph.ridge_vertices:\\n p1 = graph.vertices[v[0]]\\n p2 = graph.vertices[v[1]]\\n cells = list(bresenham(int(p1[0]), int(p1[1]), int(p2[0]), int(p2[1])))\\n hit = False\\n\\n for c in cells:\\n if np.amin(c) < 0 or c[0] >= grid.shape[0] or c[1] >= grid.shape[1]:\\n hit = True\\n break\\n if grid[c[0], c[1]] == 1:\\n hit = True\\n break\\n\\n if not hit:\\n p1 = (p1[0], p1[1])\\n p2 = (p2[0], p2[1])\\n edges.append((p1, p2))\\n\\n return grid, edges, int(north_min), int(east_min)\",\n \"def create_uniform_grid(low, high, bins=(10, 10)):\\n grid = [np.linspace(low[dim], high[dim], bins[dim] + 1)[1:-1]\\n for dim in range(len(bins))]\\n\\n return grid\",\n \"def cell_edges3d_cartesian(self, axis2, axis3):\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.72705615","0.6971521","0.6954679","0.694505","0.694505","0.6930976","0.6930976","0.6930976","0.6930976","0.6908422","0.6903842","0.69015664","0.6880629","0.6800234","0.6800234","0.6661612","0.6625001","0.66245806","0.63171464","0.62140924","0.6175486","0.6159924","0.61487824","0.61355203","0.60373604","0.6009462","0.60068315","0.59965444","0.5980873","0.59378344","0.5906833","0.5882443","0.5866265","0.5855601","0.5835231","0.58020157","0.5783776","0.5743535","0.5742318","0.57405406","0.57229644","0.56922287","0.567624","0.5627061","0.5599888","0.559854","0.5594069","0.5590157","0.5577149","0.5573161","0.5566499","0.556102","0.55513567","0.55420184","0.5538299","0.5516979","0.5504284","0.55003315","0.5471656","0.546918","0.5468522","0.5466755","0.5466003","0.5461426","0.5443951","0.5437529","0.54198724","0.54185784","0.5415632","0.5411417","0.54050976","0.53861713","0.5384879","0.5365452","0.53611004","0.53562725","0.535349","0.53505725","0.53472","0.5345733","0.5341903","0.5338834","0.5337922","0.53370667","0.53318197","0.5329653","0.5322349","0.5301423","0.53008676","0.52967274","0.5292623","0.52850217","0.5280276","0.5275985","0.52757245","0.5275482","0.5274125","0.52725124","0.5265923","0.52649"],"string":"[\n \"0.72705615\",\n \"0.6971521\",\n \"0.6954679\",\n \"0.694505\",\n \"0.694505\",\n \"0.6930976\",\n \"0.6930976\",\n \"0.6930976\",\n \"0.6930976\",\n \"0.6908422\",\n \"0.6903842\",\n \"0.69015664\",\n \"0.6880629\",\n \"0.6800234\",\n \"0.6800234\",\n \"0.6661612\",\n \"0.6625001\",\n \"0.66245806\",\n \"0.63171464\",\n \"0.62140924\",\n \"0.6175486\",\n \"0.6159924\",\n \"0.61487824\",\n \"0.61355203\",\n \"0.60373604\",\n \"0.6009462\",\n \"0.60068315\",\n \"0.59965444\",\n \"0.5980873\",\n \"0.59378344\",\n \"0.5906833\",\n \"0.5882443\",\n \"0.5866265\",\n \"0.5855601\",\n \"0.5835231\",\n \"0.58020157\",\n \"0.5783776\",\n \"0.5743535\",\n \"0.5742318\",\n \"0.57405406\",\n \"0.57229644\",\n \"0.56922287\",\n \"0.567624\",\n \"0.5627061\",\n \"0.5599888\",\n \"0.559854\",\n \"0.5594069\",\n \"0.5590157\",\n \"0.5577149\",\n \"0.5573161\",\n \"0.5566499\",\n \"0.556102\",\n \"0.55513567\",\n \"0.55420184\",\n \"0.5538299\",\n \"0.5516979\",\n \"0.5504284\",\n \"0.55003315\",\n \"0.5471656\",\n \"0.546918\",\n \"0.5468522\",\n \"0.5466755\",\n \"0.5466003\",\n \"0.5461426\",\n \"0.5443951\",\n \"0.5437529\",\n \"0.54198724\",\n \"0.54185784\",\n \"0.5415632\",\n \"0.5411417\",\n \"0.54050976\",\n \"0.53861713\",\n \"0.5384879\",\n \"0.5365452\",\n \"0.53611004\",\n \"0.53562725\",\n \"0.535349\",\n \"0.53505725\",\n \"0.53472\",\n \"0.5345733\",\n \"0.5341903\",\n \"0.5338834\",\n \"0.5337922\",\n \"0.53370667\",\n \"0.53318197\",\n \"0.5329653\",\n \"0.5322349\",\n \"0.5301423\",\n \"0.53008676\",\n \"0.52967274\",\n \"0.5292623\",\n \"0.52850217\",\n \"0.5280276\",\n \"0.5275985\",\n \"0.52757245\",\n \"0.5275482\",\n \"0.5274125\",\n \"0.52725124\",\n \"0.5265923\",\n \"0.52649\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.56618655"},"document_rank":{"kind":"string","value":"43"}}},{"rowIdx":4794,"cells":{"query":{"kind":"string","value":"Get vertices dividing a 1d grid."},"document":{"kind":"string","value":"def get_1d_vertices(grid, cut_edges=False):\n\n if len(grid.shape) > 1:\n raise ValueError(\"grid must be 1d array.\")\n diff = np.diff(grid)\n vert = np.zeros(grid.size+1)\n # Interior vertices: halfway between points\n vert[1:-1] = grid[0:-1] + diff/2\n # Edge vertices: tight or reflect\n if cut_edges:\n vert[0] = grid[0]\n vert[-1] = grid[-1]\n else:\n vert[0] = grid[0] - diff[0]/2\n vert[-1] = grid[-1] + diff[-1]/2\n\n return vert"},"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 vertices(self):\n try:\n return self._vertices\n except:\n self._vertices = [list(x) for x in self.vertex_generator()]\n return self._vertices","def vertices(self):\n\n if self._faces is None:\n if self._vertices is None:\n return None\n self.triangulate()\n return self._vertices","def vertices(self) -> list[Point]:\n first_polygon_index = self.rank - max(self.pdim - 1, 1) - 1\n new_shape = self.shape[:first_polygon_index] + (-1, self.shape[-1])\n array = self.array.reshape(new_shape)\n return list(distinct(Point(x, copy=False) for x in np.moveaxis(array, -2, 0)))","def vertices(self):\n return self._vertices","def get_vertices(self):\n return self.vertices","def get_vertices(self):\n return self.vertices","def vertices(self):\n return self.pointlist","def get_vertices(self):\n return self._vertices","def vertices(self):\n return list(self._graph)","def _vertices(self, point):\n vertex_0, vertex_1, vertex_2 = tuple(\n gs.take(point, indices=self.faces[:, i], axis=-2) for i in range(3)\n )\n if point.ndim == 3 and vertex_0.ndim == 2:\n vertex_0 = gs.expand_dims(vertex_0, axis=0)\n vertex_1 = gs.expand_dims(vertex_1, axis=0)\n vertex_2 = gs.expand_dims(vertex_2, axis=0)\n return vertex_0, vertex_1, vertex_2","def vertexes(self):\n theta = self.orientation\n shifts = np.array([np.cos(theta), np.sin(theta)]) * self.a\n return self.coords + (shifts[:, None] * [-1, 1]).T","def get_vertices(self, crs=None):\n if (crs is None) or (crs is self.crs):\n return np.array(self.vertices)\n else:\n vertices = [_reproject(v[:2], self.crs, crs)\n for v in self.vertices]\n return np.array(vertices)","def vertices(self):\n d = self.space_dimension()\n v = vector(ZZ, d)\n points = []\n for g in self.minimized_generators():\n for i in range(0,d):\n v[i] = g.coefficient(Variable(i))\n v_copy = copy.copy(v)\n v_copy.set_immutable()\n points.append(v_copy)\n return tuple(points)","def get_vertices(self):\n\n return self._vertices","def get_vertices(self, crs=None):\n if crs is None:\n vertices = []\n for poly_vertices in self.vertices:\n vertices.append([np.array(v) for v in poly_vertices])\n return vertices\n else:\n vertices = []\n for poly_vertices in self.vertices:\n poly = []\n for ring_vertices in poly_vertices:\n poly.append(np.array([_reproject(v[:2], self.crs, crs)\n for v in ring_vertices]))\n vertices.append(poly)\n return vertices","def get_vertices(self):\n vertices = []\n V = [[-self.base_vectors[:,n], self.base_vectors[:,n]] for n in range(self.base_vectors.shape[1])]\n combs = list(itertools.product(*V))\n for cb in combs:\n cb = np.sum(np.array(cb).T, axis=1, keepdims=True)\n vertices.append(self.base_vertices + cb)\n\n vertices = np.concatenate(vertices,axis=1)\n return vertices","def get_vertices(self, crs=None):\n if crs is None:\n return [np.array(v) for v in self.vertices]\n else:\n vertices = []\n for line in self.vertices:\n line_vertices = [_reproject(v[:2], self.crs, crs) for v in line]\n vertices.append(np.array(line_vertices))\n return vertices","def get_vertices(self):\n return self.vertList.keys()","def vertices(self):\n return self.keys()","def vertices(self):\n return list(self.__graph.values())","def vertices(self):\n return map(Vertex, self._top_exp.vertices())","def mesh(self):\n return numpy.meshgrid(*self.edges, indexing='ij')","def get_vertices(self):\n return list(self.vertices.keys())","def meshgrid(self):\n vecs = self.coord_vecs\n return np.meshgrid(*vecs, indexing='ij')","def grid_coords(self):\n return [(x, y) for y in range(self.height) for x in range(self.width)]","def get_vertices(self):\n return self.graph.keys()","def get_all_vertices(self):\r\n for vertex in self.__neighbours.keys():\r\n yield vertex","def vertices(self) -> list[Point]:\n a = Point(self.array[..., 0, :], copy=False)\n b = Point(self.array[..., 1, :], copy=False)\n return [a, b]","def _build_grid(self):\n n = self.params['n']\n\n x_min, x_max = min(self.node[:, 0]), max(self.node[:, 0])\n y_min, y_max = min(self.node[:, 1]), max(self.node[:, 1])\n xv = np.linspace(x_min, x_max, num=n, endpoint=True)\n yv = np.linspace(y_min, y_max, num=n, endpoint=True)\n xg, yg = np.meshgrid(xv, yv, sparse=False, indexing='xy')\n\n return xg, yg","def make_complete_graph(num_vertices):\n V = num_vertices\n K = V * (V - 1) // 2\n grid = np.zeros([3, K], np.int32)\n k = 0\n for v2 in range(V):\n for v1 in range(v2):\n grid[:, k] = [k, v1, v2]\n k += 1\n return grid","def obtener_vertices(self):\n return list(self.vertices.keys())","def getVertices(self):\n return self.vertexIndex","def vertices(tri, vertex_list):\n dim = len(vertex_list[0])\n p = numpy.zeros((3, dim))\n for j in range(3):\n p[j] = vertex_list[tri[j]]\n return p","def edges_as_vertices(self) -> Iterable[Tuple[Vec3, Vec3]]:\n v = self.vertices\n for edge in self.edges:\n yield v[edge[0]], v[edge[1]]","def vertices(self):\r\n return self.adjacent.keys()","def cells(self):\n \"\"\"\n Note that we use the convention that the first cell is (1,1)\n \"\"\"\n part = Partition(list(self))\n coordinates = part.cells()\n coordinates = [(x+1, y+1) for x, y in coordinates]\n return coordinates","def p2vertices(self, p):\n h = self.top\n verts = np.empty((self.nparams + 2, 2))\n verts[:, 0] = self._modelx\n verts[:, 1] = np.concatenate([[h], p, [h]])\n return verts","def makeStartingGrid(self):\n return util.make2DArray(self.xN, self.yN, False)","def vertices(self):\n return list(self.graph_dict.keys())","def cube_vertices(x, y, z, nx, ny=None, nz=None):\n if ny == None: ny = nx\n if nz == None: nz = nx\n return [\n x - nx, y + ny, z - nz, x - nx, y + ny, z + nz, x + nx, y + ny, z + nz, x + nx, y + ny, z - nz, # top\n x - nx, y - ny, z - nz, x + nx, y - ny, z - nz, x + nx, y - ny, z + nz, x - nx, y - ny, z + nz, # bottom\n x - nx, y - ny, z - nz, x - nx, y - ny, z + nz, x - nx, y + ny, z + nz, x - nx, y + ny, z - nz, # left\n x + nx, y - ny, z + nz, x + nx, y - ny, z - nz, x + nx, y + ny, z - nz, x + nx, y + ny, z + nz, # right\n x - nx, y - ny, z + nz, x + nx, y - ny, z + nz, x + nx, y + ny, z + nz, x - nx, y + ny, z + nz, # front\n x + nx, y - ny, z - nz, x - nx, y - ny, z - nz, x - nx, y + ny, z - nz, x + nx, y + ny, z - nz, # back\n ]","def get_vertices(self):\n if self.vert_list.keys() != None:\n return self.vert_list.keys()\n raise KeyError(\"Vertex not found\")","def get_vertices(self) -> []:\n return [i for i in self.adj_list]","def getSpatialGrid(self, scaled=True):\n if scaled:\n return np.meshgrid(self.x_axis_scaled, self.x_axis_scaled)\n else:\n return np.meshgrid(self.x_axis_unscaled, self.x_axis_unscaled)","def vertices_from_lines(lines):\n count = len(lines)\n print(\"Getting vertices 1/3\")\n pb = pbar.ProgressBar(count)\n vertices = []\n# print(\"getting vertices from line\")\n for line in lines:\n pb +=1\n vertices.extend(list(line.coords))\n del pb\n return [Point(p) for p in set(vertices)]","def grids(self):\n x = self.xvalues\n if self.ndim == 1:\n return x\n if self.ndim == 2:\n return x[None, :], x[:, None]\n if self.ndim == 3:\n return x[None, :, None], x[:, None, None], x[None, None, :]","def vertices(self):\r\n return list(self.__graph_dict.keys())","def get_cell_vertices(self, i, j):\n self._copy_cache = False\n cell_verts = [(self.xvertices[i, j], self.yvertices[i, j]),\n (self.xvertices[i, j+1], self.yvertices[i, j+1]),\n (self.xvertices[i+1, j+1], self.yvertices[i+1, j+1]),\n (self.xvertices[i+1, j], self.yvertices[i+1, j]),]\n self._copy_cache = True\n return cell_verts","def cells(self):\n \"\"\"\n Note that we use the convention that the first cell is (1,1)\n \"\"\"\n spart_star = self.star()\n part = Partition(list(spart_star))\n coordinates = part.cells()\n coordinates = [(x+1, y+1) for x, y in coordinates]\n return coordinates","def vertices(self):\n return list(self.__graph_dict.keys())","def vertices(self):\n return list(self.__graph_dict.keys())","def vertices(self):\n return list(self.__graph_dict.keys())","def vertex_ids(self):\n return self.get_ids()","def cube_vertices(x, y, z, n):\r\n return [\r\n x-n,y+n,z-n, x-n,y+n,z+n, x+n,y+n,z+n, x+n,y+n,z-n, # top\r\n x-n,y-n,z-n, x+n,y-n,z-n, x+n,y-n,z+n, x-n,y-n,z+n, # bottom\r\n x-n,y-n,z-n, x-n,y-n,z+n, x-n,y+n,z+n, x-n,y+n,z-n, # left\r\n x+n,y-n,z+n, x+n,y-n,z-n, x+n,y+n,z-n, x+n,y+n,z+n, # right\r\n x-n,y-n,z+n, x+n,y-n,z+n, x+n,y+n,z+n, x-n,y+n,z+n, # front\r\n x+n,y-n,z-n, x-n,y-n,z-n, x-n,y+n,z-n, x+n,y+n,z-n, # back\r\n ]","def _fragment(div, eps):\n grids = []\n for lat in range(div):\n for log in range(div):\n init = [(1.0 / div) * lat, (1.0 / div) * log]\n end = [(1.0 / div) * (lat + 1) + 2 * eps,\n (1.0 / div) * (log + 1) + 2 * eps]\n end2 = [(1.0 / div) * (lat + 1), (1.0 / div) * (log + 1)]\n grids.append([init, end, end2])\n return grids","def uvgrid(self):\n if self.baselines_type != \"grid_centres\":\n ugrid = np.linspace(-self.uv_max, self.uv_max, self.n_uv + 1) # +1 because these are bin edges.\n return (ugrid[1:] + ugrid[:-1]) / 2\n else:\n # return the uv\n return self.baselines","def grid_adjacent(vertex):\n\tx, y = vertex\n\tadj = []\n\n\tif x > 0:\n\t\tadj.append((x-1, y))\n\tif x < GRID_WIDTH-1:\n\t\tadj.append((x+1, y))\n\tif y > 0:\n\t\tadj.append((x, y-1))\n\tif y < GRID_HEIGHT-1:\n\t\tadj.append((x, y+1))\n\n\treturn adj","def non_rotated_vertices(self):\n v0 = [self.pos.x - self.width / 2, self.pos.y - self.height / 2]\n v1 = [self.pos.x + self.width / 2, self.pos.y - self.height / 2]\n v2 = [self.pos.x + self.width / 2, self.pos.y + self.height / 2]\n v3 = [self.pos.x - self.width / 2, self.pos.y + self.height / 2]\n return v0, v1, v2, v3","def calc_grid(self):\n return int(self._posn.x / cell_size), int(self._posn.y / cell_size)","def _get_all_vertices(self, ref_frame='WORLD') -> np.ndarray:\n\n\t\tdepsgraph = bpy.context.evaluated_depsgraph_get() # to account for deformations\n\n\t\tif ref_frame not in {'LOCAL', 'WORLD'}:\n\t\t\traise ValueError(f\"Invalid ref_frame: {ref_frame}. Must be one of ['LOCAL', 'WORLD']\")\n\n\t\tverts = []\n\n\t\tfor mesh in self._meshes:\n\n\t\t\t# use bmesh to get vertices - this accounts for deformations in depsgraph\n\t\t\tbm = bmesh.new()\n\t\t\tbm.from_object(mesh, depsgraph)\n\t\t\tbm.verts.ensure_lookup_table()\n\t\t\tmesh_verts = np.array([x.co for x in bm.verts])\n\t\t\tbm.free()\n\n\t\t\tif ref_frame == 'WORLD':\n\t\t\t\tmesh_verts = np.dot(mesh.matrix_world, np.vstack((mesh_verts.T, np.ones(mesh_verts.shape[0]))))\n\n\t\t\tverts.append(mesh_verts)\n\n\t\tverts = np.concatenate(verts, axis=1)\n\t\tverts /= verts[3] # convert from homogeneous coordinates\n\t\treturn verts[:3].T","def getVertexNumbers(self):\n return self.vertexIndex.keys()","def faces_as_vertices(self) -> Iterable[List[Vec3]]:\n v = self.vertices\n for face in self.faces:\n yield [v[index] for index in face]","def grid(self) -> aa.Grid2D:\r\n return self.analysis.dataset.grid","def vis_grid(Xs):\n (N, H, W, C) = Xs.shape\n A = int(ceil(sqrt(N)))\n G = np.ones((A * H + A, A * W + A, C), Xs.dtype)\n G *= np.min(Xs)\n n = 0\n for y in range(A):\n for x in range(A):\n if n < N:\n G[y * H + y:(y + 1) * H + y, x * W + x:(x + 1) * W + x, :] = Xs[n, :, :, :]\n n += 1\n # normalize to [0,1]\n maxg = G.max()\n ming = G.min()\n G = (G - ming) / (maxg - ming)\n return G","def make_grid(self):\n\n\t\tinit_grid = (self.grid_width//2, self.grid_height//2)\n\t\tgrid_list = []\n\n\t\tfor i in range(self.canv_width//self.grid_width):\n\t\t\tfor j in range(self.canv_height//self.grid_height):\n\t\t\t\tif j == 0 or j%2 ==0:\n\t\t\t\t\tgrid_list.append((init_grid[0]+i*self.grid_width, init_grid[1]+j*self.grid_height))\n\t\t\t\t\t\n\t\t\t\telse:\n\t\t\t\t\tgrid_list.append((grid_list[-1][0]+(self.grid_width//2), init_grid[1]+j*self.grid_height))\n\n\t\treturn grid_list","def all_cells(self):\n \"\"\"\n Note that we use the convention that the first cell is (1,1)\n \"\"\"\n spart_star = self.circle_star()\n part = Partition(list(spart_star))\n coordinates = part.cells()\n coordinates = [(x+1, y+1) for x, y in coordinates]\n return coordinates","def vertices(self):\n s = set([x for x in self.edges.keys()])\n t = set([y for v in self.edges.values() for (y,d) in v.items()])\n v = s.union(t)\n return list(v)","def GetRegionVertices(self, *float, **kwargs):\n ...","def get_vertices(self):\n return str(self.vert_dict.keys())","def get_neighbour_vertices(self, cur: Union[str, int]) -> list:\n\t\tvertices = [edge[0] if edge[1] == cur else edge[1] for edge in self.get_neighbour_edges(cur)]\n\t\treturn vertices","def calculate_box(vertices: [[float]]) -> [float]:\n x_coords = [x[0] for x in vertices]\n y_coords = [x[1] for x in vertices]\n z_coords = [x[2] for x in vertices]\n\n return [min(x_coords), min(y_coords), min(z_coords), max(x_coords), max(y_coords), max(z_coords)]","def get_outer_vertices(feature):\n return [\n point\n for part in Geometry.get_multipolygon(feature)\n for point in part[0][0:-1]\n ]","def vertices(self):\n top_exp = TopologyUtils.TopologyExplorer(self.topods_shape(), ignore_orientation=True)\n return map(Vertex, top_exp.vertices())","def vertices(self):\n \n yielded = set()\n \n # Iterate over every tuple of edges, e.g. ..., (1, 2), (4, 3), ...\n for vertices in self.edges():\n # Iterate over every vertex in the tuple, e.g. ..., 1, 2, 4, 3, ...\n for vertex in vertices:\n # Yield if it has not been yielded already\n if vertex not in yielded:\n yield vertex","def vertices(size):\n return set(range(size))","def get_vertices(self):\n output = []\n \n for vertex in self.adjacency_list:\n output.append(vertex.value)\n\n return output","def verts(self):\n return self._xys[:-1]","def getGrid(x,y,w,h,x_step=1, y_step=1):\n X,Y = np.mgrid[x:x+w:x_step, y:y+h:y_step]\n return np.array(np.vstack((X.flatten(),Y.flatten())).transpose(), dtype=np.float32)","def get_sound_vertices(self):\n\n vals = np.sum(np.abs(self.base_vectors), axis=1, keepdims=True)\n V = [[v,-v] for v in vals]\n combs = list(itertools.product(*V))\n\n vertices = []\n for cb in combs:\n vertices.append(self.base_vertices+np.array(cb))\n vertices = np.concatenate(vertices, axis=1)\n return vertices","def neighbors_in(self, vertex):\n return list(self.neighbor_in_iterator(vertex))","def make_grid(self, nx, ny):\n nx_vec = np.arange(nx)\n ny_vec = np.arange(ny)\n yv, xv = np.meshgrid(ny_vec, nx_vec)\n grid = np.stack((yv, xv), axis=2)\n grid = grid.reshape(1, 1, ny, nx, 2)\n return grid","def list_vertices(self):\n return list(self.graph_dict.keys())","def getHealpixVertices(pixels, nside, nest=False):\n corners = np.transpose(hp.boundaries(nside, pixels, step=1, nest=nest), (0, 2, 1))\n corners_x = corners[:, :, 0].flatten()\n corners_y = corners[:, :, 1].flatten()\n corners_z = corners[:, :, 2].flatten()\n vertices_lon, vertices_lat = hp.rotator.vec2dir(corners_x, corners_y, corners_z, lonlat=True)\n return np.stack([vertices_lon.reshape(-1, 4), vertices_lat.reshape(-1, 4)], axis=-1)","def find_hull_vertices(points: np.ndarray) -> np.ndarray:\n M = 3\n N = points.shape[0]\n for i in range(4, N):\n while ccw(points[M], points[M - 1], points[i]) >= 0:\n M -= 1\n\n M += 1\n swap(points, M, i)\n\n return points[1:M + 1]","def redefinir_vertices(self):\n self.nueva_posicion_posible_parte_inferior = [0,0]\n self.nueva_posicion_posible_parte_superior = [0,0]\n self.vertice_1 = self.posicion\n self.vertice_2 = [self.posicion[0] + self.medidas, self.posicion[1]]\n self.vertice_3 = [self.posicion[0], self.posicion[1] + self.medidas]\n self.vertice_4 = [self.posicion[0] + self.medidas, self.posicion[1] + self.medidas]","def get_neighbors(grid, x, y):\n out = []\n if x > 0:\n out.append(grid[x-1, y])\n if y > 0:\n out.append(grid[x, y-1])\n if y < grid.shape[1] - 1:\n out.append(grid[x, y+1])\n if x < grid.shape[0] - 1:\n out.append(grid[x+1, y])\n return out","def _create_nodes_from_vertices(self, vertices: List[np.ndarray]) -> List[str]:\n nodes = []\n for vertice in vertices:\n lon, lat = self.proj(vertice[0], vertice[1], inverse=True)\n node = Node(self.id_count, lat, lon)\n nodes.append(node.id_)\n self.osm.add_node(node)\n return nodes","def create_grid(self):\n return [[0] * self.width for _ in range(self.height)]","def _calcOrderedCellVertexIDs(self):\n ids = numerix.zeros((8, self.nx, self.ny, self.nz), 'l')\n indices = numerix.indices((self.nx, self.ny, self.nz))\n ids[1] = indices[0] + (indices[1] + (indices[2] + 1) * (self.ny + 1) + 1) * (self.nx + 1)\n ids[0] = ids[1] + 1\n ids[3] = indices[0] + (indices[1] + (indices[2] + 1) * (self.ny + 1)) * (self.nx + 1)\n ids[2] = ids[3] + 1\n ids[5] = indices[0] + (indices[1] + indices[2] * (self.ny + 1) + 1) * (self.nx + 1)\n ids[4] = ids[5] + 1\n ids[7] = indices[0] + (indices[1] + indices[2] * (self.ny + 1)) * (self.nx + 1)\n ids[6] = ids[7] + 1\n\n return numerix.reshape(ids.swapaxes(1, 3), (8, self.numberOfCells))","def hexgrid(self):\n n = self.n * 2\n vectors = []\n for u in range(-n, n+1):\n us = [u] * (2*n+1)\n if u < 0:\n vectors.extend(zip(us, range(-n-u, n+1), range(-n, n+u+1)))\n else:\n vectors.extend(zip(us, range(-n, n-u+1), range(-n+u, n+1)))\n return vectors","def coord_vecs(self):\n return [np.linspace(x0, x1, nx) for x0, x1, nx in zip(self.mins, self.maxs, self.shape)]","def vertices(self):\n return self._outgoing.keys()","def get_vertices_list(feature):\n return [\n point\n for part in Geometry.get_multipolygon(feature)\n for ring in part\n for point in ring[0:-1]\n ]","def vertex_generator(self):\n for V in self.Vrepresentation():\n if V.is_vertex():\n yield V","def grid(self):\n return self.__grid","def grid_coordinates(points: np.array, dtype = np.uint16) -> np.array:\n xmin = np.min(points[:, 0])\n xmax = np.max(points[:, 0]) + 1\n ymin = np.min(points[:, 1])\n ymax = np.max(points[:, 1]) + 1\n return np.asarray([(x, y) for y in range(ymin, ymax)\n for x in range(xmin, xmax)], dtype = dtype)","def getStartSpots(self):\n spots = []\n if self.index == 0:\n startRow = 1\n endRow = 4\n if self.index == 1:\n startRow = 6\n endRow = 9\n for row in range(startRow, endRow):\n for col in range(1,9):\n spots += [(col, row)]\n return spots","def get_voxel_grid(bbox, grid_shape):\n # Make sure that we have the appropriate inputs\n assert bbox.shape[0] == 6\n assert bbox.shape[1] == 1\n\n xyz = [\n np.linspace(s, e, c, endpoint=True, dtype=np.float32)\n for s, e, c in\n zip(bbox[:3], bbox[3:], grid_shape)\n ]\n bin_size = np.array([xyzi[1]-xyzi[0] for xyzi in xyz]).reshape(3, 1, 1, 1)\n return np.stack(np.meshgrid(*xyz, indexing=\"ij\")) + bin_size/2","def generate_square_vertices(geom):\n unit = geom.pix_x.unit\n width = geom.pixel_width.to_value(unit) / 2\n x = geom.pix_x.to_value(unit)\n y = geom.pix_y.to_value(unit)\n\n x_offset = width[:, np.newaxis] * np.array([-1, -1, 1, 1])\n y_offset = width[:, np.newaxis] * np.array([1, -1, -1, 1])\n\n x = x[:, np.newaxis] + x_offset\n y = y[:, np.newaxis] + y_offset\n return x, y","def ij_coordinates(self):\n\n x = np.arange(self.nx)\n y = np.arange(self.ny)\n return np.meshgrid(x, y)","def tensor_grid(x):\n\treturn np.vstack(np.meshgrid(*x, indexing = 'ij')).reshape((len(x), -1)).T"],"string":"[\n \"def vertices(self):\\n try:\\n return self._vertices\\n except:\\n self._vertices = [list(x) for x in self.vertex_generator()]\\n return self._vertices\",\n \"def vertices(self):\\n\\n if self._faces is None:\\n if self._vertices is None:\\n return None\\n self.triangulate()\\n return self._vertices\",\n \"def vertices(self) -> list[Point]:\\n first_polygon_index = self.rank - max(self.pdim - 1, 1) - 1\\n new_shape = self.shape[:first_polygon_index] + (-1, self.shape[-1])\\n array = self.array.reshape(new_shape)\\n return list(distinct(Point(x, copy=False) for x in np.moveaxis(array, -2, 0)))\",\n \"def vertices(self):\\n return self._vertices\",\n \"def get_vertices(self):\\n return self.vertices\",\n \"def get_vertices(self):\\n return self.vertices\",\n \"def vertices(self):\\n return self.pointlist\",\n \"def get_vertices(self):\\n return self._vertices\",\n \"def vertices(self):\\n return list(self._graph)\",\n \"def _vertices(self, point):\\n vertex_0, vertex_1, vertex_2 = tuple(\\n gs.take(point, indices=self.faces[:, i], axis=-2) for i in range(3)\\n )\\n if point.ndim == 3 and vertex_0.ndim == 2:\\n vertex_0 = gs.expand_dims(vertex_0, axis=0)\\n vertex_1 = gs.expand_dims(vertex_1, axis=0)\\n vertex_2 = gs.expand_dims(vertex_2, axis=0)\\n return vertex_0, vertex_1, vertex_2\",\n \"def vertexes(self):\\n theta = self.orientation\\n shifts = np.array([np.cos(theta), np.sin(theta)]) * self.a\\n return self.coords + (shifts[:, None] * [-1, 1]).T\",\n \"def get_vertices(self, crs=None):\\n if (crs is None) or (crs is self.crs):\\n return np.array(self.vertices)\\n else:\\n vertices = [_reproject(v[:2], self.crs, crs)\\n for v in self.vertices]\\n return np.array(vertices)\",\n \"def vertices(self):\\n d = self.space_dimension()\\n v = vector(ZZ, d)\\n points = []\\n for g in self.minimized_generators():\\n for i in range(0,d):\\n v[i] = g.coefficient(Variable(i))\\n v_copy = copy.copy(v)\\n v_copy.set_immutable()\\n points.append(v_copy)\\n return tuple(points)\",\n \"def get_vertices(self):\\n\\n return self._vertices\",\n \"def get_vertices(self, crs=None):\\n if crs is None:\\n vertices = []\\n for poly_vertices in self.vertices:\\n vertices.append([np.array(v) for v in poly_vertices])\\n return vertices\\n else:\\n vertices = []\\n for poly_vertices in self.vertices:\\n poly = []\\n for ring_vertices in poly_vertices:\\n poly.append(np.array([_reproject(v[:2], self.crs, crs)\\n for v in ring_vertices]))\\n vertices.append(poly)\\n return vertices\",\n \"def get_vertices(self):\\n vertices = []\\n V = [[-self.base_vectors[:,n], self.base_vectors[:,n]] for n in range(self.base_vectors.shape[1])]\\n combs = list(itertools.product(*V))\\n for cb in combs:\\n cb = np.sum(np.array(cb).T, axis=1, keepdims=True)\\n vertices.append(self.base_vertices + cb)\\n\\n vertices = np.concatenate(vertices,axis=1)\\n return vertices\",\n \"def get_vertices(self, crs=None):\\n if crs is None:\\n return [np.array(v) for v in self.vertices]\\n else:\\n vertices = []\\n for line in self.vertices:\\n line_vertices = [_reproject(v[:2], self.crs, crs) for v in line]\\n vertices.append(np.array(line_vertices))\\n return vertices\",\n \"def get_vertices(self):\\n return self.vertList.keys()\",\n \"def vertices(self):\\n return self.keys()\",\n \"def vertices(self):\\n return list(self.__graph.values())\",\n \"def vertices(self):\\n return map(Vertex, self._top_exp.vertices())\",\n \"def mesh(self):\\n return numpy.meshgrid(*self.edges, indexing='ij')\",\n \"def get_vertices(self):\\n return list(self.vertices.keys())\",\n \"def meshgrid(self):\\n vecs = self.coord_vecs\\n return np.meshgrid(*vecs, indexing='ij')\",\n \"def grid_coords(self):\\n return [(x, y) for y in range(self.height) for x in range(self.width)]\",\n \"def get_vertices(self):\\n return self.graph.keys()\",\n \"def get_all_vertices(self):\\r\\n for vertex in self.__neighbours.keys():\\r\\n yield vertex\",\n \"def vertices(self) -> list[Point]:\\n a = Point(self.array[..., 0, :], copy=False)\\n b = Point(self.array[..., 1, :], copy=False)\\n return [a, b]\",\n \"def _build_grid(self):\\n n = self.params['n']\\n\\n x_min, x_max = min(self.node[:, 0]), max(self.node[:, 0])\\n y_min, y_max = min(self.node[:, 1]), max(self.node[:, 1])\\n xv = np.linspace(x_min, x_max, num=n, endpoint=True)\\n yv = np.linspace(y_min, y_max, num=n, endpoint=True)\\n xg, yg = np.meshgrid(xv, yv, sparse=False, indexing='xy')\\n\\n return xg, yg\",\n \"def make_complete_graph(num_vertices):\\n V = num_vertices\\n K = V * (V - 1) // 2\\n grid = np.zeros([3, K], np.int32)\\n k = 0\\n for v2 in range(V):\\n for v1 in range(v2):\\n grid[:, k] = [k, v1, v2]\\n k += 1\\n return grid\",\n \"def obtener_vertices(self):\\n return list(self.vertices.keys())\",\n \"def getVertices(self):\\n return self.vertexIndex\",\n \"def vertices(tri, vertex_list):\\n dim = len(vertex_list[0])\\n p = numpy.zeros((3, dim))\\n for j in range(3):\\n p[j] = vertex_list[tri[j]]\\n return p\",\n \"def edges_as_vertices(self) -> Iterable[Tuple[Vec3, Vec3]]:\\n v = self.vertices\\n for edge in self.edges:\\n yield v[edge[0]], v[edge[1]]\",\n \"def vertices(self):\\r\\n return self.adjacent.keys()\",\n \"def cells(self):\\n \\\"\\\"\\\"\\n Note that we use the convention that the first cell is (1,1)\\n \\\"\\\"\\\"\\n part = Partition(list(self))\\n coordinates = part.cells()\\n coordinates = [(x+1, y+1) for x, y in coordinates]\\n return coordinates\",\n \"def p2vertices(self, p):\\n h = self.top\\n verts = np.empty((self.nparams + 2, 2))\\n verts[:, 0] = self._modelx\\n verts[:, 1] = np.concatenate([[h], p, [h]])\\n return verts\",\n \"def makeStartingGrid(self):\\n return util.make2DArray(self.xN, self.yN, False)\",\n \"def vertices(self):\\n return list(self.graph_dict.keys())\",\n \"def cube_vertices(x, y, z, nx, ny=None, nz=None):\\n if ny == None: ny = nx\\n if nz == None: nz = nx\\n return [\\n x - nx, y + ny, z - nz, x - nx, y + ny, z + nz, x + nx, y + ny, z + nz, x + nx, y + ny, z - nz, # top\\n x - nx, y - ny, z - nz, x + nx, y - ny, z - nz, x + nx, y - ny, z + nz, x - nx, y - ny, z + nz, # bottom\\n x - nx, y - ny, z - nz, x - nx, y - ny, z + nz, x - nx, y + ny, z + nz, x - nx, y + ny, z - nz, # left\\n x + nx, y - ny, z + nz, x + nx, y - ny, z - nz, x + nx, y + ny, z - nz, x + nx, y + ny, z + nz, # right\\n x - nx, y - ny, z + nz, x + nx, y - ny, z + nz, x + nx, y + ny, z + nz, x - nx, y + ny, z + nz, # front\\n x + nx, y - ny, z - nz, x - nx, y - ny, z - nz, x - nx, y + ny, z - nz, x + nx, y + ny, z - nz, # back\\n ]\",\n \"def get_vertices(self):\\n if self.vert_list.keys() != None:\\n return self.vert_list.keys()\\n raise KeyError(\\\"Vertex not found\\\")\",\n \"def get_vertices(self) -> []:\\n return [i for i in self.adj_list]\",\n \"def getSpatialGrid(self, scaled=True):\\n if scaled:\\n return np.meshgrid(self.x_axis_scaled, self.x_axis_scaled)\\n else:\\n return np.meshgrid(self.x_axis_unscaled, self.x_axis_unscaled)\",\n \"def vertices_from_lines(lines):\\n count = len(lines)\\n print(\\\"Getting vertices 1/3\\\")\\n pb = pbar.ProgressBar(count)\\n vertices = []\\n# print(\\\"getting vertices from line\\\")\\n for line in lines:\\n pb +=1\\n vertices.extend(list(line.coords))\\n del pb\\n return [Point(p) for p in set(vertices)]\",\n \"def grids(self):\\n x = self.xvalues\\n if self.ndim == 1:\\n return x\\n if self.ndim == 2:\\n return x[None, :], x[:, None]\\n if self.ndim == 3:\\n return x[None, :, None], x[:, None, None], x[None, None, :]\",\n \"def vertices(self):\\r\\n return list(self.__graph_dict.keys())\",\n \"def get_cell_vertices(self, i, j):\\n self._copy_cache = False\\n cell_verts = [(self.xvertices[i, j], self.yvertices[i, j]),\\n (self.xvertices[i, j+1], self.yvertices[i, j+1]),\\n (self.xvertices[i+1, j+1], self.yvertices[i+1, j+1]),\\n (self.xvertices[i+1, j], self.yvertices[i+1, j]),]\\n self._copy_cache = True\\n return cell_verts\",\n \"def cells(self):\\n \\\"\\\"\\\"\\n Note that we use the convention that the first cell is (1,1)\\n \\\"\\\"\\\"\\n spart_star = self.star()\\n part = Partition(list(spart_star))\\n coordinates = part.cells()\\n coordinates = [(x+1, y+1) for x, y in coordinates]\\n return coordinates\",\n \"def vertices(self):\\n return list(self.__graph_dict.keys())\",\n \"def vertices(self):\\n return list(self.__graph_dict.keys())\",\n \"def vertices(self):\\n return list(self.__graph_dict.keys())\",\n \"def vertex_ids(self):\\n return self.get_ids()\",\n \"def cube_vertices(x, y, z, n):\\r\\n return [\\r\\n x-n,y+n,z-n, x-n,y+n,z+n, x+n,y+n,z+n, x+n,y+n,z-n, # top\\r\\n x-n,y-n,z-n, x+n,y-n,z-n, x+n,y-n,z+n, x-n,y-n,z+n, # bottom\\r\\n x-n,y-n,z-n, x-n,y-n,z+n, x-n,y+n,z+n, x-n,y+n,z-n, # left\\r\\n x+n,y-n,z+n, x+n,y-n,z-n, x+n,y+n,z-n, x+n,y+n,z+n, # right\\r\\n x-n,y-n,z+n, x+n,y-n,z+n, x+n,y+n,z+n, x-n,y+n,z+n, # front\\r\\n x+n,y-n,z-n, x-n,y-n,z-n, x-n,y+n,z-n, x+n,y+n,z-n, # back\\r\\n ]\",\n \"def _fragment(div, eps):\\n grids = []\\n for lat in range(div):\\n for log in range(div):\\n init = [(1.0 / div) * lat, (1.0 / div) * log]\\n end = [(1.0 / div) * (lat + 1) + 2 * eps,\\n (1.0 / div) * (log + 1) + 2 * eps]\\n end2 = [(1.0 / div) * (lat + 1), (1.0 / div) * (log + 1)]\\n grids.append([init, end, end2])\\n return grids\",\n \"def uvgrid(self):\\n if self.baselines_type != \\\"grid_centres\\\":\\n ugrid = np.linspace(-self.uv_max, self.uv_max, self.n_uv + 1) # +1 because these are bin edges.\\n return (ugrid[1:] + ugrid[:-1]) / 2\\n else:\\n # return the uv\\n return self.baselines\",\n \"def grid_adjacent(vertex):\\n\\tx, y = vertex\\n\\tadj = []\\n\\n\\tif x > 0:\\n\\t\\tadj.append((x-1, y))\\n\\tif x < GRID_WIDTH-1:\\n\\t\\tadj.append((x+1, y))\\n\\tif y > 0:\\n\\t\\tadj.append((x, y-1))\\n\\tif y < GRID_HEIGHT-1:\\n\\t\\tadj.append((x, y+1))\\n\\n\\treturn adj\",\n \"def non_rotated_vertices(self):\\n v0 = [self.pos.x - self.width / 2, self.pos.y - self.height / 2]\\n v1 = [self.pos.x + self.width / 2, self.pos.y - self.height / 2]\\n v2 = [self.pos.x + self.width / 2, self.pos.y + self.height / 2]\\n v3 = [self.pos.x - self.width / 2, self.pos.y + self.height / 2]\\n return v0, v1, v2, v3\",\n \"def calc_grid(self):\\n return int(self._posn.x / cell_size), int(self._posn.y / cell_size)\",\n \"def _get_all_vertices(self, ref_frame='WORLD') -> np.ndarray:\\n\\n\\t\\tdepsgraph = bpy.context.evaluated_depsgraph_get() # to account for deformations\\n\\n\\t\\tif ref_frame not in {'LOCAL', 'WORLD'}:\\n\\t\\t\\traise ValueError(f\\\"Invalid ref_frame: {ref_frame}. Must be one of ['LOCAL', 'WORLD']\\\")\\n\\n\\t\\tverts = []\\n\\n\\t\\tfor mesh in self._meshes:\\n\\n\\t\\t\\t# use bmesh to get vertices - this accounts for deformations in depsgraph\\n\\t\\t\\tbm = bmesh.new()\\n\\t\\t\\tbm.from_object(mesh, depsgraph)\\n\\t\\t\\tbm.verts.ensure_lookup_table()\\n\\t\\t\\tmesh_verts = np.array([x.co for x in bm.verts])\\n\\t\\t\\tbm.free()\\n\\n\\t\\t\\tif ref_frame == 'WORLD':\\n\\t\\t\\t\\tmesh_verts = np.dot(mesh.matrix_world, np.vstack((mesh_verts.T, np.ones(mesh_verts.shape[0]))))\\n\\n\\t\\t\\tverts.append(mesh_verts)\\n\\n\\t\\tverts = np.concatenate(verts, axis=1)\\n\\t\\tverts /= verts[3] # convert from homogeneous coordinates\\n\\t\\treturn verts[:3].T\",\n \"def getVertexNumbers(self):\\n return self.vertexIndex.keys()\",\n \"def faces_as_vertices(self) -> Iterable[List[Vec3]]:\\n v = self.vertices\\n for face in self.faces:\\n yield [v[index] for index in face]\",\n \"def grid(self) -> aa.Grid2D:\\r\\n return self.analysis.dataset.grid\",\n \"def vis_grid(Xs):\\n (N, H, W, C) = Xs.shape\\n A = int(ceil(sqrt(N)))\\n G = np.ones((A * H + A, A * W + A, C), Xs.dtype)\\n G *= np.min(Xs)\\n n = 0\\n for y in range(A):\\n for x in range(A):\\n if n < N:\\n G[y * H + y:(y + 1) * H + y, x * W + x:(x + 1) * W + x, :] = Xs[n, :, :, :]\\n n += 1\\n # normalize to [0,1]\\n maxg = G.max()\\n ming = G.min()\\n G = (G - ming) / (maxg - ming)\\n return G\",\n \"def make_grid(self):\\n\\n\\t\\tinit_grid = (self.grid_width//2, self.grid_height//2)\\n\\t\\tgrid_list = []\\n\\n\\t\\tfor i in range(self.canv_width//self.grid_width):\\n\\t\\t\\tfor j in range(self.canv_height//self.grid_height):\\n\\t\\t\\t\\tif j == 0 or j%2 ==0:\\n\\t\\t\\t\\t\\tgrid_list.append((init_grid[0]+i*self.grid_width, init_grid[1]+j*self.grid_height))\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\tgrid_list.append((grid_list[-1][0]+(self.grid_width//2), init_grid[1]+j*self.grid_height))\\n\\n\\t\\treturn grid_list\",\n \"def all_cells(self):\\n \\\"\\\"\\\"\\n Note that we use the convention that the first cell is (1,1)\\n \\\"\\\"\\\"\\n spart_star = self.circle_star()\\n part = Partition(list(spart_star))\\n coordinates = part.cells()\\n coordinates = [(x+1, y+1) for x, y in coordinates]\\n return coordinates\",\n \"def vertices(self):\\n s = set([x for x in self.edges.keys()])\\n t = set([y for v in self.edges.values() for (y,d) in v.items()])\\n v = s.union(t)\\n return list(v)\",\n \"def GetRegionVertices(self, *float, **kwargs):\\n ...\",\n \"def get_vertices(self):\\n return str(self.vert_dict.keys())\",\n \"def get_neighbour_vertices(self, cur: Union[str, int]) -> list:\\n\\t\\tvertices = [edge[0] if edge[1] == cur else edge[1] for edge in self.get_neighbour_edges(cur)]\\n\\t\\treturn vertices\",\n \"def calculate_box(vertices: [[float]]) -> [float]:\\n x_coords = [x[0] for x in vertices]\\n y_coords = [x[1] for x in vertices]\\n z_coords = [x[2] for x in vertices]\\n\\n return [min(x_coords), min(y_coords), min(z_coords), max(x_coords), max(y_coords), max(z_coords)]\",\n \"def get_outer_vertices(feature):\\n return [\\n point\\n for part in Geometry.get_multipolygon(feature)\\n for point in part[0][0:-1]\\n ]\",\n \"def vertices(self):\\n top_exp = TopologyUtils.TopologyExplorer(self.topods_shape(), ignore_orientation=True)\\n return map(Vertex, top_exp.vertices())\",\n \"def vertices(self):\\n \\n yielded = set()\\n \\n # Iterate over every tuple of edges, e.g. ..., (1, 2), (4, 3), ...\\n for vertices in self.edges():\\n # Iterate over every vertex in the tuple, e.g. ..., 1, 2, 4, 3, ...\\n for vertex in vertices:\\n # Yield if it has not been yielded already\\n if vertex not in yielded:\\n yield vertex\",\n \"def vertices(size):\\n return set(range(size))\",\n \"def get_vertices(self):\\n output = []\\n \\n for vertex in self.adjacency_list:\\n output.append(vertex.value)\\n\\n return output\",\n \"def verts(self):\\n return self._xys[:-1]\",\n \"def getGrid(x,y,w,h,x_step=1, y_step=1):\\n X,Y = np.mgrid[x:x+w:x_step, y:y+h:y_step]\\n return np.array(np.vstack((X.flatten(),Y.flatten())).transpose(), dtype=np.float32)\",\n \"def get_sound_vertices(self):\\n\\n vals = np.sum(np.abs(self.base_vectors), axis=1, keepdims=True)\\n V = [[v,-v] for v in vals]\\n combs = list(itertools.product(*V))\\n\\n vertices = []\\n for cb in combs:\\n vertices.append(self.base_vertices+np.array(cb))\\n vertices = np.concatenate(vertices, axis=1)\\n return vertices\",\n \"def neighbors_in(self, vertex):\\n return list(self.neighbor_in_iterator(vertex))\",\n \"def make_grid(self, nx, ny):\\n nx_vec = np.arange(nx)\\n ny_vec = np.arange(ny)\\n yv, xv = np.meshgrid(ny_vec, nx_vec)\\n grid = np.stack((yv, xv), axis=2)\\n grid = grid.reshape(1, 1, ny, nx, 2)\\n return grid\",\n \"def list_vertices(self):\\n return list(self.graph_dict.keys())\",\n \"def getHealpixVertices(pixels, nside, nest=False):\\n corners = np.transpose(hp.boundaries(nside, pixels, step=1, nest=nest), (0, 2, 1))\\n corners_x = corners[:, :, 0].flatten()\\n corners_y = corners[:, :, 1].flatten()\\n corners_z = corners[:, :, 2].flatten()\\n vertices_lon, vertices_lat = hp.rotator.vec2dir(corners_x, corners_y, corners_z, lonlat=True)\\n return np.stack([vertices_lon.reshape(-1, 4), vertices_lat.reshape(-1, 4)], axis=-1)\",\n \"def find_hull_vertices(points: np.ndarray) -> np.ndarray:\\n M = 3\\n N = points.shape[0]\\n for i in range(4, N):\\n while ccw(points[M], points[M - 1], points[i]) >= 0:\\n M -= 1\\n\\n M += 1\\n swap(points, M, i)\\n\\n return points[1:M + 1]\",\n \"def redefinir_vertices(self):\\n self.nueva_posicion_posible_parte_inferior = [0,0]\\n self.nueva_posicion_posible_parte_superior = [0,0]\\n self.vertice_1 = self.posicion\\n self.vertice_2 = [self.posicion[0] + self.medidas, self.posicion[1]]\\n self.vertice_3 = [self.posicion[0], self.posicion[1] + self.medidas]\\n self.vertice_4 = [self.posicion[0] + self.medidas, self.posicion[1] + self.medidas]\",\n \"def get_neighbors(grid, x, y):\\n out = []\\n if x > 0:\\n out.append(grid[x-1, y])\\n if y > 0:\\n out.append(grid[x, y-1])\\n if y < grid.shape[1] - 1:\\n out.append(grid[x, y+1])\\n if x < grid.shape[0] - 1:\\n out.append(grid[x+1, y])\\n return out\",\n \"def _create_nodes_from_vertices(self, vertices: List[np.ndarray]) -> List[str]:\\n nodes = []\\n for vertice in vertices:\\n lon, lat = self.proj(vertice[0], vertice[1], inverse=True)\\n node = Node(self.id_count, lat, lon)\\n nodes.append(node.id_)\\n self.osm.add_node(node)\\n return nodes\",\n \"def create_grid(self):\\n return [[0] * self.width for _ in range(self.height)]\",\n \"def _calcOrderedCellVertexIDs(self):\\n ids = numerix.zeros((8, self.nx, self.ny, self.nz), 'l')\\n indices = numerix.indices((self.nx, self.ny, self.nz))\\n ids[1] = indices[0] + (indices[1] + (indices[2] + 1) * (self.ny + 1) + 1) * (self.nx + 1)\\n ids[0] = ids[1] + 1\\n ids[3] = indices[0] + (indices[1] + (indices[2] + 1) * (self.ny + 1)) * (self.nx + 1)\\n ids[2] = ids[3] + 1\\n ids[5] = indices[0] + (indices[1] + indices[2] * (self.ny + 1) + 1) * (self.nx + 1)\\n ids[4] = ids[5] + 1\\n ids[7] = indices[0] + (indices[1] + indices[2] * (self.ny + 1)) * (self.nx + 1)\\n ids[6] = ids[7] + 1\\n\\n return numerix.reshape(ids.swapaxes(1, 3), (8, self.numberOfCells))\",\n \"def hexgrid(self):\\n n = self.n * 2\\n vectors = []\\n for u in range(-n, n+1):\\n us = [u] * (2*n+1)\\n if u < 0:\\n vectors.extend(zip(us, range(-n-u, n+1), range(-n, n+u+1)))\\n else:\\n vectors.extend(zip(us, range(-n, n-u+1), range(-n+u, n+1)))\\n return vectors\",\n \"def coord_vecs(self):\\n return [np.linspace(x0, x1, nx) for x0, x1, nx in zip(self.mins, self.maxs, self.shape)]\",\n \"def vertices(self):\\n return self._outgoing.keys()\",\n \"def get_vertices_list(feature):\\n return [\\n point\\n for part in Geometry.get_multipolygon(feature)\\n for ring in part\\n for point in ring[0:-1]\\n ]\",\n \"def vertex_generator(self):\\n for V in self.Vrepresentation():\\n if V.is_vertex():\\n yield V\",\n \"def grid(self):\\n return self.__grid\",\n \"def grid_coordinates(points: np.array, dtype = np.uint16) -> np.array:\\n xmin = np.min(points[:, 0])\\n xmax = np.max(points[:, 0]) + 1\\n ymin = np.min(points[:, 1])\\n ymax = np.max(points[:, 1]) + 1\\n return np.asarray([(x, y) for y in range(ymin, ymax)\\n for x in range(xmin, xmax)], dtype = dtype)\",\n \"def getStartSpots(self):\\n spots = []\\n if self.index == 0:\\n startRow = 1\\n endRow = 4\\n if self.index == 1:\\n startRow = 6\\n endRow = 9\\n for row in range(startRow, endRow):\\n for col in range(1,9):\\n spots += [(col, row)]\\n return spots\",\n \"def get_voxel_grid(bbox, grid_shape):\\n # Make sure that we have the appropriate inputs\\n assert bbox.shape[0] == 6\\n assert bbox.shape[1] == 1\\n\\n xyz = [\\n np.linspace(s, e, c, endpoint=True, dtype=np.float32)\\n for s, e, c in\\n zip(bbox[:3], bbox[3:], grid_shape)\\n ]\\n bin_size = np.array([xyzi[1]-xyzi[0] for xyzi in xyz]).reshape(3, 1, 1, 1)\\n return np.stack(np.meshgrid(*xyz, indexing=\\\"ij\\\")) + bin_size/2\",\n \"def generate_square_vertices(geom):\\n unit = geom.pix_x.unit\\n width = geom.pixel_width.to_value(unit) / 2\\n x = geom.pix_x.to_value(unit)\\n y = geom.pix_y.to_value(unit)\\n\\n x_offset = width[:, np.newaxis] * np.array([-1, -1, 1, 1])\\n y_offset = width[:, np.newaxis] * np.array([1, -1, -1, 1])\\n\\n x = x[:, np.newaxis] + x_offset\\n y = y[:, np.newaxis] + y_offset\\n return x, y\",\n \"def ij_coordinates(self):\\n\\n x = np.arange(self.nx)\\n y = np.arange(self.ny)\\n return np.meshgrid(x, y)\",\n \"def tensor_grid(x):\\n\\treturn np.vstack(np.meshgrid(*x, indexing = 'ij')).reshape((len(x), -1)).T\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6591957","0.65517676","0.6523746","0.6520511","0.64833","0.64833","0.64218307","0.6383808","0.6376488","0.63350326","0.6328131","0.63177186","0.6316762","0.6278034","0.6251261","0.6179584","0.61629945","0.6152223","0.61260945","0.6122966","0.6108887","0.60676056","0.6065647","0.60630107","0.60521007","0.60490906","0.6042865","0.60328555","0.6027899","0.6008264","0.60005057","0.5999993","0.599495","0.59603286","0.5946714","0.59194773","0.5900009","0.5898707","0.5884395","0.5853112","0.584554","0.5844604","0.58323616","0.5829233","0.5802609","0.57890654","0.5787268","0.5786915","0.57860225","0.57860225","0.57860225","0.5785146","0.57598394","0.57568735","0.57502794","0.5732237","0.57189417","0.57123196","0.5710647","0.57075804","0.5704906","0.5692509","0.56921583","0.5682122","0.5671217","0.5656707","0.56449246","0.5608603","0.56030893","0.55993694","0.5578814","0.5575662","0.55648255","0.5564655","0.5563406","0.5558604","0.55573654","0.55552995","0.5529451","0.55252635","0.5520144","0.551509","0.5503583","0.54966676","0.5496303","0.5490904","0.5484265","0.5476749","0.5475671","0.54750556","0.5473159","0.54716724","0.54678017","0.54635787","0.54626346","0.54583997","0.5455706","0.5453851","0.5450337","0.5449222"],"string":"[\n \"0.6591957\",\n \"0.65517676\",\n \"0.6523746\",\n \"0.6520511\",\n \"0.64833\",\n \"0.64833\",\n \"0.64218307\",\n \"0.6383808\",\n \"0.6376488\",\n \"0.63350326\",\n \"0.6328131\",\n \"0.63177186\",\n \"0.6316762\",\n \"0.6278034\",\n \"0.6251261\",\n \"0.6179584\",\n \"0.61629945\",\n \"0.6152223\",\n \"0.61260945\",\n \"0.6122966\",\n \"0.6108887\",\n \"0.60676056\",\n \"0.6065647\",\n \"0.60630107\",\n \"0.60521007\",\n \"0.60490906\",\n \"0.6042865\",\n \"0.60328555\",\n \"0.6027899\",\n \"0.6008264\",\n \"0.60005057\",\n \"0.5999993\",\n \"0.599495\",\n \"0.59603286\",\n \"0.5946714\",\n \"0.59194773\",\n \"0.5900009\",\n \"0.5898707\",\n \"0.5884395\",\n \"0.5853112\",\n \"0.584554\",\n \"0.5844604\",\n \"0.58323616\",\n \"0.5829233\",\n \"0.5802609\",\n \"0.57890654\",\n \"0.5787268\",\n \"0.5786915\",\n \"0.57860225\",\n \"0.57860225\",\n \"0.57860225\",\n \"0.5785146\",\n \"0.57598394\",\n \"0.57568735\",\n \"0.57502794\",\n \"0.5732237\",\n \"0.57189417\",\n 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grids."},"document":{"kind":"string","value":"def pad_limits(xgrid, ygrid, xpad=0., ypad=0., square=None):\n\n xmin, xmax = xgrid.min(), xgrid.max()\n ymin, ymax = ygrid.min(), ygrid.max()\n dx = xmax - xmin\n dy = ymax - ymin\n x0 = xmin - xpad*dx\n x1 = xmax + xpad*dx\n y0 = ymin - ypad*dy\n y1 = ymax + ypad*dy\n\n if square:\n axis = square\n ax_position = axis.get_position()\n ax_height = ax_position.height * axis.figure.get_figheight()\n ax_width = ax_position.width * axis.figure.get_figwidth()\n ax_aspect = ax_height / ax_width\n\n im_height = y1 - y0\n im_width = x1 - x0\n im_aspect = im_height / im_width\n\n if (im_height/im_width) > (ax_height/ax_width):\n # Image too tall\n extra_w = im_height/ax_aspect - im_width\n x0 -= extra_w / 2\n x1 += extra_w / 2\n else:\n # Image too wide\n extra_h = im_width*ax_aspect - im_height\n y0 -= extra_h / 2\n y1 += extra_h / 2\n\n return [x0, x1, y0, y1]"},"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 compute_image_bounds(pixel_meter_size, frame, beam_width_data, additional_pixel_padding_x=0, additional_pixel_padding_y=0):\n\n # Compute the projected locations of all samples so that we can get the extent\n all_bl = []\n all_br = []\n all_fr = []\n all_fl = []\n\n for beam_num in [0, frame.BeamCount / 2, frame.BeamCount - 1]:\n for bin_num in [0, frame.samplesperbeam - 1]:\n bl, br, fr, fl = get_box_for_sample(beam_num, bin_num, frame, beam_width_data)\n\n all_bl.append(bl)\n all_br.append(br)\n all_fr.append(fr)\n all_fl.append(fl)\n\n all_bl = np.array(all_bl)\n all_br = np.array(all_br)\n all_fr = np.array(all_fr)\n all_fl = np.array(all_fl)\n\n # Get the xdim extent\n min_back_left = np.min(all_bl[:,0])\n min_back_right = np.min(all_br[:,0])\n min_front_left = np.min(all_fl[:,0])\n min_front_right = np.min(all_fr[:,0])\n assert min_back_left < min_back_right\n assert min_back_left < min_front_left\n assert min_back_left < min_front_right\n\n max_back_left = np.max(all_bl[:,0])\n max_back_right = np.max(all_br[:,0])\n max_front_left = np.max(all_fl[:,0])\n max_front_right = np.max(all_fr[:,0])\n assert max_back_right > max_back_left\n assert max_back_right > max_front_left\n assert max_back_right > max_front_right\n\n xdim_extent = np.array([min_back_left, max_back_right])\n\n\n # Get the ydim extent\n min_back_left = np.min(all_bl[:,1])\n min_back_right = np.min(all_br[:,1])\n min_front_left = np.min(all_fl[:,1])\n min_front_right = np.min(all_fr[:,1])\n min_front = min(min_front_left, min_front_right)\n assert min_front < min_back_right\n assert min_front < min_back_left\n\n\n max_back_left = np.max(all_bl[:,1])\n max_back_right = np.max(all_br[:,1])\n max_front_left = np.max(all_fl[:,1])\n max_front_right = np.max(all_fr[:,1])\n max_back = max(max_back_left, max_back_right)\n assert max_back > max_front_right\n assert max_back > max_front_left\n\n ydim_extent = np.array([min_front, max_back])\n\n # Determine which meter location corresponds to our \"target center\"\n bl, br, fr, fl = get_box_for_sample(frame.BeamCount / 2, 0, frame, beam_width_data)\n target_center_x = (fl[0] + fr[0]) / 2.\n target_center_y = (bl[1] + fl[1]) / 2.\n\n # Determine the x dimension size and what this corresponds to in meters\n extra_padding_x = pixel_meter_size + pixel_meter_size * additional_pixel_padding_x\n\n # X Min\n xmin_len = target_center_x - xdim_extent[0]\n xp = xmin_len % pixel_meter_size\n xmin_padded = xdim_extent[0] - (extra_padding_x - xp)\n xmin_len = target_center_x - xmin_padded\n x_min_cells = np.abs(xmin_len / pixel_meter_size)\n x_min_meters = target_center_x - xmin_len\n assert x_min_meters <= xdim_extent[0]\n\n\n # X Max\n xmax_len = xdim_extent[1] - target_center_x\n xp = xmax_len % pixel_meter_size\n xmax_padded = xdim_extent[1] + (extra_padding_x - xp)\n xmax_len = xmax_padded - target_center_x\n x_max_cells = np.abs(xmax_len / pixel_meter_size)\n x_max_meters = target_center_x + xmax_len\n assert x_max_meters >= xdim_extent[1]\n\n\n # if we want a specific beam to be the in the middle of the image then we should take the max?\n xdim = int(x_min_cells + x_max_cells)\n x_meter_start = x_min_meters\n x_meter_stop = x_max_meters\n\n # Determine the y dimension size and what this corresponds to in meters\n extra_padding_y = pixel_meter_size + pixel_meter_size * additional_pixel_padding_y\n\n # Y Min\n ymin_len = target_center_y - ydim_extent[0]\n yp = ymin_len % pixel_meter_size\n ymin_padded = ydim_extent[0] - ( extra_padding_y - yp)\n ymin_len = target_center_y - ymin_padded\n y_min_cells = np.abs(ymin_len / pixel_meter_size)\n y_min_meters = target_center_y - ymin_len\n assert y_min_meters <= ydim_extent[0]\n\n # Y Max\n ymax_len = ydim_extent[1] - target_center_y\n yp = ymax_len % pixel_meter_size\n ymax_padded = ydim_extent[1] + (extra_padding_y - yp)\n ymax_len = ymax_padded - target_center_y\n y_max_cells = np.abs(ymax_len / pixel_meter_size)\n y_max_meters = target_center_y + ymax_len\n assert y_max_meters >= ydim_extent[1]\n\n ydim = int(y_min_cells + y_max_cells)\n y_meter_start = y_max_meters\n y_meter_stop = y_min_meters\n\n return xdim, ydim, x_meter_start, y_meter_start, x_meter_stop, y_meter_stop","def padding(self):\n if not self._pixels:\n return Bounds(0, 0, 0, 0)\n row_inked = tuple(self._1 in _row for _row in self._pixels)\n if not any(row_inked):\n return Bounds(self.width, self.height, 0, 0)\n bottom = row_inked[::-1].index(True)\n top = row_inked.index(True)\n col_inked = tuple(self._1 in _col for _col in zip(*self._pixels))\n left = col_inked.index(True)\n right = col_inked[::-1].index(True)\n return Bounds(left, bottom, right, top)","def _axes_limits(image_width, fractional_padding=0.5):\n # calculate widths and padding for each item\n overlay_width = image_width\n colorbar_width = int(0.05 * image_width)\n xy_width = image_width\n overlay_colorbar_padding_width = int(0.05 * image_width)\n colorbar_xy_padding_width = int(fractional_padding * image_width)\n\n # set limits based on item sizes\n left_lim = 0\n right_lim = overlay_width\n overlay_lim = (left_lim, right_lim)\n\n left_lim = right_lim + overlay_colorbar_padding_width\n right_lim = left_lim + colorbar_width\n colorbar_lim = (left_lim, right_lim)\n\n left_lim = right_lim + colorbar_xy_padding_width\n right_lim = left_lim + xy_width\n xy_lim = (left_lim, right_lim)\n\n return colorbar_lim, overlay_lim, xy_lim","def visualize_grid(Xs, ubound=255.0, padding=1):\n (N, H, W, C) = Xs.shape\n grid_size = int(ceil(sqrt(N)))\n grid_height = H * grid_size + padding * (grid_size - 1)\n grid_width = W * grid_size + padding * (grid_size - 1)\n grid = np.zeros((grid_height, grid_width, C))\n next_idx = 0\n y0, y1 = 0, H\n for y in range(grid_size):\n x0, x1 = 0, W\n for x in range(grid_size):\n if next_idx < N:\n img = Xs[next_idx]\n low, high = np.min(img), np.max(img)\n grid[y0:y1, x0:x1] = ubound * (img - low) / (high - low)\n # grid[y0:y1, x0:x1] = Xs[next_idx]\n next_idx += 1\n x0 += W + padding\n x1 += W + padding\n y0 += H + padding\n y1 += H + padding\n # grid_max = np.max(grid)\n # grid_min = np.min(grid)\n # grid = ubound * (grid - grid_min) / (grid_max - grid_min)\n return grid","def checkRange(x,y,w,h,maxW,maxH):\n if x < 0:\n x = 0\n if y < 0:\n y = 0\n if x + w >= maxW:\n w = maxW-x-1\n if y + h >= maxH:\n h = maxH-y-1\n return [x,y,w,h]","def __clip_bbox(min_y, min_x, max_y, max_x):\n min_y = tf.clip_by_value(min_y, 0.0, 1.0)\n min_x = tf.clip_by_value(min_x, 0.0, 1.0)\n max_y = tf.clip_by_value(max_y, 0.0, 1.0)\n max_x = tf.clip_by_value(max_x, 0.0, 1.0)\n return min_y, min_x, max_y, max_x","def bounds(self):\n return self.min_col, self.min_row, self.max_col, self.max_row","def _get_bounds(x, y, size):\n x = np.array(np.atleast_1d(x))\n y = np.array(np.atleast_1d(y))\n\n lower_x = np.rint(x - size[0]/2)\n lower_y = np.rint(y - size[1]/2)\n\n return np.stack((np.stack((lower_x, lower_x + size[0]), axis=1),\n np.stack((lower_y, lower_y + size[1]), axis=1)), axis=1).astype(int)","def crop(masks, boxes, padding: int = 1):\n h, w, n = masks.shape\n x1, x2 = sanitize_coordinates(boxes[:, 0:1:1], boxes[:, 2:3:1], w, padding, cast=False)\n y1, y2 = sanitize_coordinates(boxes[:, 1:2:1], boxes[:, 3:4:1], h, padding, cast=False)\n\n cast = P.Cast()\n broadcast_to = P.BroadcastTo((h, w, n))\n row = broadcast_to((P.range(Tensor(0, mindspore.int32),\n Tensor(w, mindspore.int32),\n Tensor(1, mindspore.int32)).view(1, -1, 1)))\n rows = cast(row, x1.dtype)\n col = broadcast_to((P.range(Tensor(0, mindspore.int32),\n Tensor(w, mindspore.int32),\n Tensor(1, mindspore.int32)).view(-1, 1, 1)))\n cols = cast(col, x2.dtype)\n\n\n masks_left = rows >= x1.view(1, 1, -1)\n masks_right = rows < x2.view(1, 1, -1)\n masks_left = P.Cast()(masks_left, mindspore.float16)\n masks_right = P.Cast()(masks_right, mindspore.float16)\n crop_mask = masks_left * masks_right\n masks_up = cols >= y1.view(1, 1, -1)\n masks_up = P.Cast()(masks_up, mindspore.float16)\n crop_mask *= masks_up\n masks_down = cols < y2.view(1, 1, -1)\n masks_down = P.Cast()(masks_down, mindspore.float16)\n crop_mask *= masks_down\n\n return masks * crop_mask","def image_crop_pad_cv2(images,pos_x,pos_y,pix,final_h,final_w,padding_mode=\"cv2.BORDER_CONSTANT\"):\r\n #Convert position of cell from \"um\" to \"pixel index\"\r\n pos_x,pos_y = pos_x/pix,pos_y/pix \r\n\r\n for i in range(len(images)):\r\n image = images[i]\r\n \r\n #Compute the edge-coordinates that define the cropped image\r\n y1 = np.around(pos_y[i]-final_h/2.0) \r\n x1 = np.around(pos_x[i]-final_w/2.0) \r\n y2 = y1+final_h \r\n x2 = x1+final_w\r\n\r\n #Are these coordinates within the oringinal image?\r\n #If not, the image needs padding\r\n pad_top,pad_bottom,pad_left,pad_right = 0,0,0,0\r\n\r\n if y1<0:#Padding is required on top of image\r\n pad_top = int(abs(y1))\r\n y1 = 0 #set y1 to zero and pad pixels after cropping\r\n \r\n if y2>image.shape[0]:#Padding is required on bottom of image\r\n pad_bottom = int(y2-image.shape[0])\r\n y2 = image.shape[0]\r\n \r\n if x1<0:#Padding is required on left of image\r\n pad_left = int(abs(x1))\r\n x1 = 0\r\n \r\n if x2>image.shape[1]:#Padding is required on right of image\r\n pad_right = int(x2-image.shape[1])\r\n x2 = image.shape[1]\r\n \r\n #Crop the image\r\n temp = image[int(y1):int(y2),int(x1):int(x2)]\r\n\r\n if pad_top+pad_bottom+pad_left+pad_right>0:\r\n if padding_mode==\"Delete\":\r\n temp = np.zeros_like(temp)\r\n else:\r\n #Perform all padding operations in one go\r\n temp = cv2.copyMakeBorder(temp, pad_top, pad_bottom, pad_left, pad_right, eval(padding_mode))\r\n \r\n images[i] = temp\r\n \r\n return images","def boundary(self,image,i,j):\r\n if((j >=25- self.padding) and (j <=175+ self.padding ) and (i >= 425- self.padding) and (i <= 575+ self.padding)):\r\n image[self.maximum_size-i,j,:]=0,0,0\r\n self.image_p[i,j,:]=2\r\n #print(2)\r","def image_crop_pad_cv2(images,pos_x,pos_y,pix,final_h,final_w,padding_mode=\"cv2.BORDER_CONSTANT\"):\r\n #Convert position of cell from \"um\" to \"pixel index\"\r\n pos_x = [pos_x_/pix for pos_x_ in pos_x]\r\n pos_y = [pos_y_/pix for pos_y_ in pos_y]\r\n padding_modes = [\"cv2.BORDER_CONSTANT\",\"cv2.BORDER_REFLECT\",\"cv2.BORDER_REFLECT_101\",\"cv2.BORDER_REPLICATE\",\"cv2.BORDER_WRAP\"]\r\n \r\n for i in range(len(images)):\r\n image = images[i]\r\n \r\n #Compute the edge-coordinates that define the cropped image\r\n y1 = np.around(pos_y[i]-final_h/2.0) \r\n x1 = np.around(pos_x[i]-final_w/2.0) \r\n y2 = y1+final_h \r\n x2 = x1+final_w\r\n\r\n #Are these coordinates within the oringinal image?\r\n #If not, the image needs padding\r\n pad_top,pad_bottom,pad_left,pad_right = 0,0,0,0\r\n\r\n if y1<0:#Padding is required on top of image\r\n pad_top = int(abs(y1))\r\n y1 = 0 #set y1 to zero and pad pixels after cropping\r\n \r\n if y2>image.shape[0]:#Padding is required on bottom of image\r\n pad_bottom = int(y2-image.shape[0])\r\n y2 = image.shape[0]\r\n \r\n if x1<0:#Padding is required on left of image\r\n pad_left = int(abs(x1))\r\n x1 = 0\r\n \r\n if x2>image.shape[1]:#Padding is required on right of image\r\n pad_right = int(x2-image.shape[1])\r\n x2 = image.shape[1]\r\n \r\n #Crop the image\r\n temp = image[int(y1):int(y2),int(x1):int(x2)]\r\n\r\n if pad_top+pad_bottom+pad_left+pad_right>0:\r\n if padding_mode.lower()==\"delete\":\r\n temp = np.zeros_like(temp)\r\n else:\r\n #Perform all padding operations in one go\r\n if padding_mode.lower()==\"alternate\":\r\n ind = rand_state.randint(low=0,high=len(padding_modes))\r\n padding_mode = padding_modes[ind]\r\n temp = cv2.copyMakeBorder(temp, pad_top, pad_bottom, pad_left, pad_right, eval(padding_modes[ind]))\r\n else:\r\n temp = cv2.copyMakeBorder(temp, pad_top, pad_bottom, pad_left, pad_right, eval(padding_mode))\r\n \r\n images[i] = temp\r\n \r\n return images","def __padding(self, image, boxes, height, width):\n temp = boxes[:, :4].astype(np.int)\n y1 = np.where(temp[:, 0] < 0)[0]\n if len(y1) > 0:\n temp[y1, 0] = 0\n x1 = np.where(temp[:, 1] < 0)[0]\n if len(x1) > 0:\n temp[x1, 0] = 0\n y2 = np.where(temp[:, 2] > image.shape[0] - 1)[0]\n if len(y2) > 0:\n temp[y2, 0] = image.shape[0] - 1\n x2 = np.where(temp[:, 3] > image.shape[1] - 1)[0]\n if len(x2) > 0:\n temp[x2, 0] = image.shape[1] - 1\n pad_top = np.abs(temp[:, 0] - boxes[:, 0]).astype(np.int)\n pad_left = np.abs(temp[:, 1] - boxes[:, 1]).astype(np.int)\n pad_bottom = np.abs(temp[:, 2] - boxes[:, 2]).astype(np.int)\n pad_right = np.abs(temp[:, 3] - boxes[:, 3]).astype(np.int)\n input_data = np.empty([boxes.shape[0], 3, height, width], dtype=np.float32)\n for i in range(boxes.shape[0]):\n crop_img = image[temp[i, 0]:temp[i, 2] + 1, temp[i, 1]:temp[i, 3] + 1, :]\n crop_img = cv2.copyMakeBorder(crop_img, pad_top[i], pad_bottom[i], \\\n pad_left[i], pad_right[i], cv2.BORDER_CONSTANT, value=0)\n if crop_img is None:\n continue\n crop_img = cv2.resize(crop_img, (width, height)).astype(np.float32)\n crop_img[:, :, 0] -= self.mean[0]\n crop_img[:, :, 1] -= self.mean[1]\n crop_img[:, :, 2] -= self.mean[2]\n crop_img *= self.scale_factor\n crop_img = np.transpose(crop_img, (2, 0, 1))\n input_data[i] = crop_img.copy()\n return input_data","def _get_padded_grid_(ax):\n ax_pad = np.zeros(ax.size + 2)\n ax_pad[1:-1] = ax\n ax_pad[0] = ax[0] - (ax[2] - ax[1])\n ax_pad[-1] = ax[-1] + (ax[2] - ax[1])\n\n return ax_pad","def crop_mask(mask, crop_offset=0.5):\n maxx, maxy, minx, miny = 0, 0, 0, 0\n for r in range(0, mask.shape[0]):\n if np.min(mask[r]) < 255:\n minx = int(r + mask.shape[0] * (crop_offset / 100))\n break\n\n for r in range(mask.shape[0] - 1, 0, -1):\n if np.min(mask[r]) < 255:\n maxx = int(r - mask.shape[0] * (crop_offset / 100))\n break\n\n for c in range(0, mask.shape[1]):\n if np.min(mask[:, c]) < 255:\n miny = int(c + mask.shape[1] * (crop_offset / 100))\n break\n\n for c in range(mask.shape[1] - 1, 0, -1):\n if np.min(mask[:, c]) < 255:\n maxy = int(c - mask.shape[1] * (crop_offset / 100))\n break\n\n return (maxx, maxy, minx, miny)","def _grid_around_star(self, x0, y0, data):\n lenx, leny = data.shape\n xmin, xmax = max(x0 - self._box / 2, 0), min(x0 + self._box / 2 + 1, lenx - 1)\n ymin, ymax = max(y0 - self._box / 2, 0), min(y0 + self._box / 2 + 1, leny - 1)\n return np.mgrid[int(xmin) : int(xmax), int(ymin) : int(ymax)]","def boundary1(self,image,i,j):\r\n if((j >=375- self.padding) and (j <=625+ self.padding ) and (i >= 425- self.padding) and (i <= 575+ self.padding)):\r\n image[self.maximum_size-i,j,:]=0,0,0\r\n self.image_p[i,j,:]=2","def adjustCoordByBorders(self, x, y):\n (x_offset, y_offset) = (0, 0)\n if (127 < x < (255+4)):\n x_offset -= 4\n \n if (31 < y < (63+4*1)):\n y_offset -= 4\n elif ( (63+4*1) < y < (95+4*2) ):\n y_offset -= 4*2\n elif ( (95+4*2) < y < (127+4*3) ):\n y_offset -= 4*3\n elif ( (127+4*3) < y < (159+4*4) ):\n y_offset -= 4*4\n elif ( (159+4*4) < y < (191+4*5) ):\n y_offset -= 4*5\n elif ( (191+4*5) < y < (223+4*6) ):\n y_offset -= 4*6\n elif ( (223+4*6) < y < (255+4*7) ):\n y_offset -= 4*7\n return x_offset, y_offset","def _in_bounds(self, x, y):\r\n return 0 <= x < 8 and 0 <= y < 8","def _clip_boxes(boxes, im_shape):\n # x1 >= 0\n boxes[:, 0::4] = np.maximum(boxes[:, 0::4], 0)\n # y1 >= 0\n boxes[:, 1::4] = np.maximum(boxes[:, 1::4], 0)\n # x2 < im_shape[1]\n boxes[:, 2::4] = np.minimum(boxes[:, 2::4], im_shape[1] - 1)\n # y2 < im_shape[0]\n boxes[:, 3::4] = np.minimum(boxes[:, 3::4], im_shape[0] - 1)\n return boxes","def _clip_boxes(boxes, im_shape):\n # x1 >= 0\n boxes[:, 0::4] = np.maximum(boxes[:, 0::4], 0)\n # y1 >= 0\n boxes[:, 1::4] = np.maximum(boxes[:, 1::4], 0)\n # x2 < im_shape[1]\n boxes[:, 2::4] = np.minimum(boxes[:, 2::4], im_shape[1] - 1)\n # y2 < im_shape[0]\n boxes[:, 3::4] = np.minimum(boxes[:, 3::4], im_shape[0] - 1)\n return boxes","def _compute_equal_axes_ranges(x_min, x_max, y_min, y_max):\n\n x_axis_min, x_axis_max, y_axis_min, y_axis_max = x_min, x_max, y_min, y_max\n x_range, y_range = abs(x_max - x_min), abs(y_max - y_min)\n if x_range > y_range:\n y_center = (y_max + y_min) / 2\n y_axis_max = y_center + x_range / 2\n y_axis_min = y_center - x_range / 2\n else:\n x_center = (x_max + x_min) / 2\n x_axis_max = x_center + y_range / 2\n x_axis_min = x_center - y_range / 2\n\n return x_axis_min, x_axis_max, y_axis_min, y_axis_max","def clip_grid(grid, xr, yr, extra_m=5000):\n\n min_x = np.min(xr)\n min_y = np.min(yr)\n max_x = np.max(xr)\n max_y = np.max(yr)\n\n mask_x = np.logical_and(grid.x['data'] > min_x - extra_m,\n grid.x['data'] < max_x + extra_m)\n mask_y = np.logical_and(grid.y['data'] > min_y - extra_m,\n grid.y['data'] < max_y + extra_m)\n\n grid.x['data'] = grid.x['data'][mask_x]\n grid.y['data'] = grid.y['data'][mask_y]\n for f in grid.fields.keys():\n nz = len(grid.fields[f]['data']) # Nb of z levels\n grid.fields[f]['data'] = grid.fields[f]['data'][np.ix_(range(nz),\n mask_y, mask_x)]\n grid.nx = len(grid.x['data'])\n grid.ny = len(grid.y['data'])\n return grid","def visualize_grid(Xs, ubound=255.0, padding=1):\n pixel_sz = 2\n (H, W, C, N) = Xs.shape\n\n Xs_resize = np.zeros((H*pixel_sz, W*pixel_sz, C, N))\n Xs = (ubound*(Xs-np.min(Xs))/(np.max(Xs)-np.min(Xs))).astype('uint8')\n\n for c in range(C):\n for n in range(N):\n Xs_resize[:,:,c,n] = imresize(Xs[:,:,c,n], 200, interp='nearest')\n Xs = Xs_resize\n\n (H, W, C, N) = Xs.shape\n low, high = np.min(Xs), np.max(Xs)\n\n if C==1 or C==3:\n grid_size_H = int(ceil(sqrt(N)))\n grid_size_W = int(ceil(sqrt(N)))\n else:\n grid_size_H = N\n grid_size_W = C\n\n count = 0\n grid_height = H * grid_size_H + padding * (grid_size_H-1)\n grid_width = W * grid_size_W + padding * (grid_size_W-1)\n grid = np.zeros((grid_height, grid_width, C))\n y0, y1 = 0, H\n for y in range(grid_size_H):\n x0, x1 = 0, W\n for x in range(grid_size_W):\n if C==1 or C==3:\n img = Xs[:,:,:,count]\n count += 1\n else:\n img = np.expand_dims(Xs[:,:,x,y], axis=-1)\n\n grid[y0:y1, x0:x1, :] = ubound * (img - low) / (high - low)\n x0 += W + padding\n x1 += W + padding\n\n y0 += H + padding\n y1 += H + padding\n\n if C!=3:\n grid = grid[:,:,0]\n return grid","def _fix_span(x, y, xmin, xmax):\n if x.ndim != 1:\n return x, y\n\n # Roll in same direction if some points on right-edge extend\n # more than 360 above min longitude; *they* should be on left side\n lonroll = np.where(x > xmin + 360)[0] # tuple of ids\n if lonroll.size: # non-empty\n roll = x.size - lonroll.min()\n x = np.roll(x, roll)\n y = np.roll(y, roll, axis=-1)\n x[:roll] -= 360 # make monotonic\n\n # Set NaN where data not in range xmin, xmax. Must be done\n # for regional smaller projections or get weird side-effects due\n # to having valid data way outside of the map boundaries\n y = y.copy()\n if x.size - 1 == y.shape[-1]: # test western/eastern grid cell edges\n y[..., (x[1:] < xmin) | (x[:-1] > xmax)] = np.nan\n elif x.size == y.shape[-1]: # test the centers and pad by one for safety\n where = np.where((x < xmin) | (x > xmax))[0]\n y[..., where[1:-1]] = np.nan\n\n return x, y","def calculate_min_max_tiles(self):","def _cell_bounds_xy(self, x, y, dx = None):\n\t\tif dx is None:\n\t\t\tlev = bhpix.get_pixel_level(x, y)\n\t\t\tdx = bhpix.pix_size(lev)\n\t\t\t##dx = bhpix.pix_size(self.level)\n\n\t\tbounds = Polygon.Shapes.Rectangle(dx)\n\t\tbounds.shift(x - 0.5*dx, y - 0.5*dx);\n\n\t\tif fabs(fabs(x) - fabs(y)) == 0.5:\n\t\t\t# If it's a \"halfpixel\", return a triangle\n\t\t\t# by clipping agains the sky\n\t\t\tbounds &= bn.ALLSKY\n\n\t\treturn bounds","def _filter_img_boxes(boxes, im_info):\n padding = 50\n w_min = -padding\n w_max = im_info[1] + padding\n h_min = -padding\n h_max = im_info[0] + padding\n keep = np.where((w_min <= boxes[:,0]) & (boxes[:,2] <= w_max) & (h_min <= boxes[:,1]) &\n (boxes[:,3] <= h_max))[0]\n return keep","def sanitize_coordinates(_x1, _x2, img_size: int, padding: int = 0, cast: bool = True):\n _x1 = _x1 * img_size\n _x2 = _x2 * img_size\n if cast:\n _x1 = _x1.long()\n _x2 = _x2.long()\n coordinates_min = P.Minimum()\n coordinates_max = P.Maximum()\n x1 = coordinates_min(_x1, _x2)\n x2 = coordinates_max(_x1, _x2)\n\n select = P.Select()\n zeroslike = P.ZerosLike()\n oneslike = P.OnesLike()\n min_tensor = zeroslike(x1 - padding)\n x1 = select(min_tensor > x1 - padding, min_tensor, x1 - padding)\n\n max_tensor = oneslike(x2 + padding) * img_size\n x2 = select(x2 + padding > max_tensor, max_tensor, x2 + padding)\n\n\n return x1, x2","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 remove_border_vals(img, x: torch.Tensor, y: torch.Tensor, c: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]: \r\n\r\n new_x = img.shape[3] - 8\r\n new_y = img.shape[2] - 8\r\n \r\n mask = x.ge(8) & x.le(new_x) & y.ge(8) & y.le(new_y)\r\n x = torch.masked_select(x, mask)\r\n y = torch.masked_select(y, mask)\r\n c = torch.masked_select(c, mask)\r\n\r\n return x, y, c","def _clip_tiled_boxes(self, boxes, im_shape):\n assert boxes.shape[1] % 4 == 0, \\\n 'boxes.shape[1] is {:d}, but must be divisible by 4.'.format(\n boxes.shape[1]\n )\n # x1 >= 0\n boxes[:, 0::4] = np.maximum(np.minimum(boxes[:, 0::4], im_shape[1] - 1), 0)\n # y1 >= 0\n boxes[:, 1::4] = np.maximum(np.minimum(boxes[:, 1::4], im_shape[0] - 1), 0)\n # x2 < im_shape[1]\n boxes[:, 2::4] = np.maximum(np.minimum(boxes[:, 2::4], im_shape[1] - 1), 0)\n # y2 < im_shape[0]\n boxes[:, 3::4] = np.maximum(np.minimum(boxes[:, 3::4], im_shape[0] - 1), 0)\n return boxes","def boundary2(self,image,i,j):\r\n if((j >=725- self.padding) and (j <=875+ self.padding ) and (i >= 200- self.padding) and (i <= 400+ self.padding)):\r\n image[self.maximum_size-i,j,:]=0,0,0\r\n self.image_p[i,j,:]=2","def crop(img, boundaries):\n minx, miny, maxx, maxy = boundaries\n return img[miny:maxy, minx:maxx]","def in_bounds(self, x, y):\n return x >= 0 and x < 8 and y >= 0 and y < 8","def create_grid(xlim, ylim, step):\n x_range = np.arange(xlim[0], xlim[1], step)\n y_range = np.arange(ylim[0], ylim[1], step)\n return x_range, y_range","def expanded_boundaries(self):\n width = self._points[0][3][0] - self._points[0][1][0]\n height = self._points[0][3][1] - self._points[0][1][1]\n factor = np.multiply((width, height), Window.BORDER)\n return (\n np.subtract(self._points[0][1], factor),\n np.add(self._points[0][3], factor))","def check_image_size(self, x):\n _, _, h, w = x.size()\n mod_pad_h = (self.window_size -\n h % self.window_size) % self.window_size\n mod_pad_w = (self.window_size -\n w % self.window_size) % self.window_size\n x = F.pad(x, (0, mod_pad_w, 0, mod_pad_h), 'reflect')\n return x","def get_bounds(self):\n occupied_locations = self.board.keys()\n min_x = min(p[0] for p in occupied_locations)\n max_x = max(p[0] for p in occupied_locations)\n min_y = min(p[1] for p in occupied_locations)\n max_y = max(p[1] for p in occupied_locations)\n return ((min_x, max_x), (min_y, max_y))","def square_boundaries(px , py, pz, incx, incy, incz, min_x, min_y, min_z, max_x, max_y, max_z):\n\n if px < min_x or px > max_x: \n pcx = px - incx \n\n if py < min_y or py > max_y:\n pcy = py - incy \n\n if pz < min_z or pz > max_z:\n pcz = pz - incz \n\n return pcx, pcy, pcz","def _bbox_clip(self, bbox, img_h, img_w):\n bbox[0] = bbox[0].clamp(0., img_w)\n bbox[1] = bbox[1].clamp(0., img_h)\n bbox[2] = bbox[2].clamp(10., img_w)\n bbox[3] = bbox[3].clamp(10., img_h)\n return bbox","def pad_vector_grid(vector_sequences, grid_shape_sequences, max_grid_shape = None, dtype = 'int32', padding = 'pre', truncating = 'pre', value = 0.):\n\t\n row_lengths = [s[0] for s in grid_shape_sequences]\n col_lengths = [s[1] for s in grid_shape_sequences]\n assert vector_sequences[0] is not None \n dim = vector_sequences[0].shape[1] \n nb_samples = len(vector_sequences)\n if max_grid_shape is None:\n max_grid_shape = (np.max(row_lengths), np.max(col_lengths))\n x = np.ones( (nb_samples,)+ max_grid_shape +(dim,)).astype(dtype)* value \n mask = np.zeros((nb_samples,)+max_grid_shape)\n for idx, vs in enumerate(vector_sequences):\n if len(vs) == 0:\n continue\n grid_vec = np.reshape(vs,(tuple(grid_shape_sequences[idx]) + (dim,)) , order='F')\n # testiing code\n #patchRow, patchCol = [25,25]\n #showGrid(grid_vec, grid_shape_sequences[idx], [patchRow, patchCol]) \n if truncating == 'pre': \n trunc = grid_vec[-max_grid_shape[0]:,-max_grid_shape[1]:,:]\n elif truncating == 'post':\n trunc = grid_vec[:max_grid_shape[0],:max_grid_shape[1],:]\n else:\n raise ValueError(\"Truncating type '%s' not understood\" % padding)\n \n if padding == 'post':\n x[idx,:trunc.shape[0],:trunc.shape[1],:] = trunc.copy()\n mask[idx, :trunc.shape[0],:trunc.shape[1]] = 1\n elif padding == 'pre':\n x[idx, -trunc.shape[0]:,-trunc.shape[1]:, :] = trunc.copy()\n mask[idx, -trunc.shape[0]:, -trunc.shape[1]:] = 1\n else:\n raise ValueError(\"PAdding type '%s' not understood\" % padding) \n #showGrid(x[idx,::], max_grid_shape, [patchRow, patchCol]) \n return x , mask# -*- coding: utf-8 -*-","def _update_limits(self):\n if self.pos_x > self.max_x:\n self.max_x = self.pos_x\n if self.pos_y > self.max_y:\n self.max_y = self.pos_y\n if self.pos_x < self.min_x:\n self.min_x = self.pos_x\n if self.pos_y < self.min_y:\n self.min_y = self.pos_y","def _xywh2min_max(box):\n x, y, w, h = box\n return np.array([x, y, x+w, y+h])","def _build_list_of_excluded_pixels2(self, exclude_zones, img_width, img_height):\n \n full_image = numpy.ones((img_height, img_width), dtype=uint8)\n for x, y, width, height in exclude_zones:\n \n # creates a matrix where 0 is placed on pixels to exclude, and 1 on pixel to keep\n exclusion = numpy.zeros((height, width), dtype=uint8)\n exclusion = numpy.pad(exclusion, ((min(y, img_height) , max(0, img_height - (y + height))), (min(x, img_width), max(0, img_width - (x + width)))), constant_values=1)\n \n full_image *= exclusion[0:img_height, 0:img_width] # crop exclusion array if it's size is higher than image (exclusion zone outside of image dimensions)\n \n return full_image","def limit_roi(roi, im_height, im_width):\r\n left = max(0, roi[0])\r\n top = max(0, roi[1])\r\n right = min(im_width - 1, roi[2])\r\n bottom = min(im_height - 1, roi[3])\r\n\r\n return [left, top, right, bottom]","def set_lim(x, y, **kws):\n per = kws['per']\n min_per = 50 - per/2\n max_per = per/2 + 50\n xper = np.nanpercentile(x,[min_per,max_per])\n yper = np.nanpercentile(y,[min_per,max_per])\n ax = plt.gca()\n ax.set_xlim(xper)\n ax.set_ylim(yper)","def boundary_check(limits : tuple, coords : tuple) -> bool:\n xl,xh,yl,yh = limits\n x,y = coords\n bound_x = xl <= x and x < xh\n bound_y = yl <= y and y < yh\n return bound_x and bound_y","def rescale_axes(self, x=True, y=True, xlim=None, ylim=None, \n tighten_up=0): \n \n # First, figure out what limits should be\n col_xlim = [[1e10, -1e10] for i in range(self.dims[0])]\n row_ylim = [[1e10, -1e10] for i in range(self.dims[1])]\n \n # Loop over axes\n for i in range(self.N):\n if self.grid[i] is None:\n continue\n \n # column, row\n j, k = self.axis_position(i)\n \n if self.above_diagonal(i):\n continue\n \n if x and xlim is None:\n col_xlim[j][0] = min(col_xlim[j][0], self.grid[i].dataLim.min[0])\n col_xlim[j][1] = max(col_xlim[j][1], self.grid[i].dataLim.max[0]) \n elif x:\n col_xlim[j][0] = xlim[0]\n col_xlim[j][1] = xlim[1]\n \n if self.diagonal is not None and i in self.diag:\n continue\n \n if y and (ylim is None): \n row_ylim[k][0] = min(row_ylim[k][0], self.grid[i].dataLim.min[1])\n row_ylim[k][1] = max(row_ylim[k][1], self.grid[i].dataLim.max[1]) \n elif y:\n row_ylim[k][0] = ylim[0]\n row_ylim[k][1] = ylim[1] \n \n # Apply limits \n for i in range(self.N):\n if self.grid[i] is None:\n continue\n \n # column, row \n j, k = self.axis_position(i)\n \n col_tmp = [col_xlim[j][0] * (1. + tighten_up * np.sign(col_xlim[j][0])),\n col_xlim[j][1] * (1. - tighten_up * np.sign(col_xlim[j][1]))]\n \n row_tmp = [row_ylim[k][0] * (1. + tighten_up * np.sign(row_ylim[k][0])),\n row_ylim[k][1] * (1. - tighten_up * np.sign(row_ylim[k][1]))]\n\n # Kludge\n if np.all(np.isfinite(col_tmp)):\n self.grid[i].set_xlim(col_tmp)\n \n if self.diagonal and i in self.diag:\n continue\n\n if np.all(np.isfinite(row_tmp)):\n self.grid[i].set_ylim(row_tmp)\n\n pl.draw()","def bounds(self):\n return self.xmin, self.xmax, self.ymin, self.ymax","def get_limits(self, idx):\n if idx < self.nb_sub_images - 1:\n pixel_step = self.window_size - self.recovery\n\n return idx * pixel_step, idx * pixel_step + self.window_size\n elif idx == self.nb_sub_images - 1:\n return - self.window_size, None\n else:\n return None, None","def make_tiles_limits(im, n_splits, margin=0):\n \n if n_splits == 1:\n return [0, im.shape[1], 0, im.shape[0]]\n # number of splits per axis\n ax_splits = int(np.log2(n_splits))\n x_segments = split_range(im.shape[1], ax_splits)\n y_segments = split_range(im.shape[0], ax_splits)\n \n if margin > 0:\n x_segments = extend_indices(x_segments, margin=margin)\n y_segments = extend_indices(y_segments, margin=margin)\n \n # make combinations of [xmin, xmax, ymin, ymax] indices of tiles\n tiles_indices = []\n for xlim in x_segments:\n for ylim in y_segments:\n tiles_indices.append(xlim + ylim)\n return tiles_indices","def internal_bounds(self) -> tuple[float, float, float, float]:\n xres, yres = self.res\n w, s, e, n = self.bounds\n y0, y1 = (n, s) if yres < 0 else (s, n)\n x0, x1 = (e, w) if xres < 0 else (w, e)\n return x0, y0, x1, y1","def canvas_bounds(self) -> utils.BoxRegion:","def checkCanvasBoundsAndWrap(self):\n #check along the x axis\n if (self.xPos<0):\n self.setXPos(self.canvasIGetDrawnOnsWidth)\n \n elif (self.xPos>self.canvasIGetDrawnOnsWidth):\n self.setXPos(0)\n #check along the y axis\n if (self.yPos<0):\n self.setYPos(self.canvasIGetDrawnOnsHeight)\n \n elif (self.yPos>self.canvasIGetDrawnOnsHeight):\n self.setYPos(0)","def get_padding_sizes(self, div, dim):\n # ghost cells in the y direction\n target_shape = div * np.ceil(dim / div)\n target_shape_diff = target_shape - dim\n\n pad_low = int(np.ceil(target_shape_diff / 2.0))\n pad_high = int(np.floor(target_shape_diff / 2.0))\n\n return pad_low, pad_high","def _edit_border_tiles(self, vmf: VMF, seg_min: Vec, seg_max: Vec, border: bool, blacken: bool) -> None:\n up = abs(self.up_axis)\n forward = (seg_max - seg_min).norm()\n norm_dir = self.normal().axis()\n\n tiledefs_up: list[tiling.TileDef] = []\n tiledefs_dn: list[tiling.TileDef] = []\n\n overlay_len = int((seg_max - seg_min).mag())\n\n # We need to snap the axis normal_axis to the grid, since it could\n # be forward or back.\n min_pos = seg_min.copy()\n min_pos[norm_dir] = min_pos[norm_dir] // 128 * 128 + 64\n\n u_ax, v_ax = Vec.INV_AXIS[up.axis()]\n side_dir = Vec.dot(abs(Vec.cross(up, forward)), seg_min - min_pos)\n side_ind = round((side_dir + 48) / 32, 2) # 0/1/2/3 for the center of tiles.\n # 4.5 -> [4, 5] and 4 -> [4].\n pos_iter = sorted({round(side_ind - 0.25), round(side_ind + 0.25)})\n if u_ax == forward.axis():\n uv_pos = [\n (u, v)\n for u in range(4)\n for v in pos_iter\n ]\n elif v_ax == forward.axis():\n uv_pos = [\n (u, v)\n for u in pos_iter\n for v in range(4)\n ]\n else: # Should be impossible?\n uv_pos = []\n\n for offset in range(64, overlay_len, 128):\n # Each position on top or bottom, inset 64 from each end.\n # First check if the tiles themselves are present, then check if any of the\n # subtiles are present - blackening on the way if required.\n pos = min_pos + offset * forward\n tile_cat = []\n try:\n top_tile = tiling.TILES[\n (pos + 128 * up).as_tuple(),\n (-up).as_tuple()\n ]\n except KeyError:\n pass\n else:\n tile_cat.append((tiledefs_up, top_tile))\n try:\n btm_tile = tiling.TILES[\n (pos - 128 * up).as_tuple(),\n up.as_tuple()\n ]\n except KeyError:\n pass\n else:\n tile_cat.append((tiledefs_dn, btm_tile))\n for tiledefs, tile in tile_cat:\n found = False\n for u, v in uv_pos:\n subtile = tile[u, v]\n if subtile.is_tile:\n found = True\n if blacken:\n tile[u, v] = subtile.as_black\n if found:\n tiledefs.append(tile)\n\n if not border or (not tiledefs_up and not tiledefs_dn):\n return\n\n overlay_thickness = options.get(int, 'fizz_border_thickness')\n overlay_repeat = options.get(int, 'fizz_border_repeat')\n flip_uv = options.get(bool, 'fizz_border_vertical')\n\n if flip_uv:\n u_rep = 1.0\n v_rep = overlay_len / overlay_repeat\n else:\n u_rep = overlay_len / overlay_repeat\n v_rep = 1.0\n\n cent_pos = (seg_min + seg_max) / 2\n\n if tiledefs_up:\n over = srctools.vmf.make_overlay(\n vmf,\n normal=-up,\n origin=cent_pos + 64 * up,\n uax=forward * overlay_len,\n vax=Vec.cross(up, forward) * overlay_thickness,\n material=texturing.SPECIAL.get(cent_pos + 64 * up, 'fizz_border'),\n surfaces=[],\n u_repeat=u_rep,\n v_repeat=v_rep,\n swap=flip_uv,\n )\n for tile in tiledefs_up:\n tile.bind_overlay(over)\n\n if tiledefs_dn:\n over = srctools.vmf.make_overlay(\n vmf,\n normal=up,\n origin=cent_pos - 64 * up,\n uax=forward * overlay_len,\n vax=Vec.cross(-up, forward) * overlay_thickness,\n material=texturing.SPECIAL.get(cent_pos - 64 * up, 'fizz_border'),\n surfaces=[],\n u_repeat=u_rep,\n v_repeat=v_rep,\n swap=flip_uv,\n )\n for tile in tiledefs_dn:\n tile.bind_overlay(over)","def clip_boxes(boxes, im_shape):\n boxes[:, 0::4] = np.maximum(np.minimum(boxes[:, 0::4], im_shape[1] - 1), 0) # x1 >= 0\n boxes[:, 1::4] = np.maximum(np.minimum(boxes[:, 1::4], im_shape[0] - 1), 0) # y1 >= 0\n boxes[:, 2::4] = np.maximum(np.minimum(boxes[:, 2::4], im_shape[1] - 1), 0) # x2 < im_shape[1]\n boxes[:, 3::4] = np.maximum(np.minimum(boxes[:, 3::4], im_shape[0] - 1), 0) # y2 < im_shape[0]\n return boxes","def pad(self):\n if self._mg_problem.boundaries[0] == 'periodic':\n # left side\n self.left[:] = self.mid[-self.borders[0]:]\n # right side\n self.right[:] = self.mid[:self.borders[1]]\n elif self._mg_problem.boundaries[0] == 'dirichlet':\n\n # left from border\n l_f_b = self.space_tensor[0:self.borders[0]]\n # right_from_border\n r_f_b = self.space_tensor[-self.borders[1]:]\n # left side\n self.left[:] = self.fl(l_f_b)\n # right side\n self.right[:] = self.fr(r_f_b)","def pad_bounds(\n bounds: tuple[int, int, int, int],\n padding: int | tuple[int, int] | tuple[int, int, int, int],\n) -> tuple[int, int, int, int]:\n if np.size(bounds) % 2 != 0:\n msg = \"Bounds must have an even number of elements.\"\n raise ValueError(msg)\n ndims = np.size(bounds) // 2\n\n if np.size(padding) not in [1, 2, np.size(bounds)]:\n msg = \"Invalid number of padding elements.\"\n raise ValueError(msg)\n\n if np.size(padding) == 1 or np.size(padding) == np.size(bounds):\n pass\n elif np.size(padding) == ndims: # pragma: no cover\n padding = np.tile(padding, 2)\n\n signs = np.repeat([-1, 1], ndims)\n return np.add(bounds, padding * signs)","def pad(img, pad_size=32):\n\n if pad_size == 0:\n return img\n\n height, width = img.shape[:2]\n\n if height % pad_size == 0:\n y_min_pad = 0\n y_max_pad = 0\n else:\n y_pad = pad_size - height % pad_size\n y_min_pad = int(y_pad / 2)\n y_max_pad = y_pad - y_min_pad\n\n if width % pad_size == 0:\n x_min_pad = 0\n x_max_pad = 0\n else:\n x_pad = pad_size - width % pad_size\n x_min_pad = int(x_pad / 2)\n x_max_pad = x_pad - x_min_pad\n\n img = cv2.copyMakeBorder(img, y_min_pad, y_max_pad, x_min_pad, x_max_pad, cv2.BORDER_REFLECT_101)\n\n return img, (x_min_pad, y_min_pad, x_max_pad, y_max_pad)","def view_limits(self, dmin, dmax):\n base = self._select_base(dmin, dmax)\n if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':\n vmin = base.le(dmin)\n vmax = base.ge(dmax)\n if vmin == vmax:\n vmin -= 1\n vmax += 1\n else:\n vmin = dmin\n vmax = dmax\n\n return mtransforms.nonsingular(vmin, vmax)","def bounds(self) -> Tensor:\n return torch.cat([self.mins, self.mins + self.ranges], dim=-2)","def __check_bbox_area(min_y, min_x, max_y, max_x, delta=0.05):\n height = max_y - min_y\n width = max_x - min_x\n\n def __adjust_bbox_boundaries(min_coord, max_coord):\n # Make sure max is never 0 and min is never 1.\n max_coord = tf.maximum(max_coord, 0.0 + delta)\n min_coord = tf.minimum(min_coord, 1.0 - delta)\n return min_coord, max_coord\n\n min_y, max_y = tf.cond(tf.equal(height, 0.0),\n lambda: __adjust_bbox_boundaries(min_y, max_y),\n lambda: (min_y, max_y))\n min_x, max_x = tf.cond(tf.equal(width, 0.0),\n lambda: __adjust_bbox_boundaries(min_x, max_x),\n lambda: (min_x, max_x))\n return min_y, min_x, max_y, max_x","def _mask_grid(self):\n xg, yg = self._build_grid()\n mask = self._build_mask(xg, yg)\n mask = mask.reshape(xg.shape)\n\n return xg, yg, mask","def handle_bad_corners(left, right, top, bottom, im_w, im_h):\n left = np.maximum(0, left)\n top = np.maximum(0, top)\n right = np.minimum(im_w, right)\n bottom = np.minimum(im_h, bottom) \n return (left, right, top, bottom)","def getbbox(self):\r\n img_ = (self._instance > 0)\r\n rows = np.any(img_, axis=1)\r\n cols = np.any(img_, axis=0)\r\n rmin, rmax = np.argmax(rows), img_.shape[0] - 1 - np.argmax(np.flipud(rows))\r\n cmin, cmax = np.argmax(cols), img_.shape[1] - 1 - np.argmax(np.flipud(cols))\r\n return (rmin, rmax, cmin, cmax)","def bounding_box(self, grid=1):\n supp = self.support\n grid = [np.linspace(s[0], s[1], grid+1) for s in supp]\n X = self.grid_eval(grid)\n X.shape = (-1, self.dim)\n return tuple((X[:, d].min(), X[:, d].max()) for d in range(self.dim))","def make_grid_bbox(tensor, box, nrow=8, padding=2,\n normalize=False, range=None, \n scale_each=False, pad_value=0, draw_line=False):\n\n # make the mini-batch of images into a grid\n # nmaps = tensor.size(0)\n nmaps = len(box)\n xmaps = min(nrow, nmaps)\n ymaps = int(math.ceil(float(nmaps) / xmaps))\n # height, width = int(tensor.size(2) + padding), int(tensor.size(3) + padding)\n height, width = int(256 + padding), int(256 + padding)\n tensor = torch.ones(())\n grid = tensor.new_full((3, height * ymaps + padding, width * xmaps + padding), pad_value)\n # # add the white image into the grid\n # block = tensor.new_full((3, height - padding, width - padding), 9.0/13)\n k = 0\n for y in irange(ymaps):\n for x in irange(xmaps):\n if k >= nmaps:\n break\n # add the white image into the grid\n block = tensor.new_full((3, height - padding, width - padding), 9.0/13)\n # print(box[0].size())\n # print(box[1].size())\n # assert False\n # num_curr_box = box[0][k].size(0)\n num_curr_box = box[k][0].size(0)\n for z in irange(num_curr_box):\n # label = box[1][k][z].item()\n try:\n label = box[k][1][z].item()\n except:\n print(box)\n print(k)\n assert False\n \n if label != -1:\n block = draw_box(block, box[k][0][z], label, draw_line)\n # print(k, z)\n else:\n break\n # copy to the grid\n grid.narrow(1, y * height + padding, height - padding)\\\n .narrow(2, x * width + padding, width - padding)\\\n .copy_(block)\n k = k + 1\n return grid","def map_grid_loc_to_pixel((grid, x, y), panel_dimensions = bm_panel_dimensions, xc = 17.25, yc = 630, run = 17.25):\n x_offset = 0\n for panel_index, panel_dim in panel_dimensions.iteritems():\n if panel_index < grid:\n width, height = panel_dim\n x_offset += width*xc\n xp, yp = xc + x*run + x_offset, yc - y*run\n return (xp, yp)","def GetNiceExtentsBySpacing(minval,maxval,spacing,tolerance):\n pass","def limits(self):\n\n\t\treturn [\n\t\t\tmin(self.xvalues),\n\t\t\tmax(self.xvalues),\n\t\t\tmin(self.yvalues),\n\t\t\tmax(self.yvalues)]","def bounds(lines):\n min_x = bench_util.Max\n min_y = bench_util.Max\n max_x = bench_util.Min\n max_y = bench_util.Min\n \n for line in lines.itervalues():\n for x, y in line:\n min_x = min(min_x, x)\n min_y = min(min_y, y)\n max_x = max(max_x, x)\n max_y = max(max_y, y)\n \n return ((min_x, min_y), (max_x, max_y))","def get_roi_limits(self):\n wdet,hdet=self.get_detector_size()\n hlims,vlims=self._get_roi_limits()\n hbin,vbin=self._truncate_roi_binning(wdet,hdet)\n min_roi=(0,0,hlims[0],vlims[0],1,1)\n max_roi=(wdet-hlims[0],wdet-vlims[0],wdet,hdet,hbin,vbin)\n return (min_roi,max_roi)","def fudgePlotLimits(x,y,marfrac=0.1):\n xl = np.min(x); yl = np.min(y)\n xh = np.max(x); yh = np.max(y)\n dx = xh-xl; dy = yh-yl\n plt.xlim(xl-dx*marfrac,xh+dx*marfrac)\n plt.ylim(yl-dy*marfrac,yh+dy*marfrac)","def pad(self, nxp, nyp):\n assert (nxp > self.nx)\n assert (nyp > self.ny)\n assert (np.mod(nxp - self.nx, 2) == 0)\n assert (np.mod(nyp - self.ny, 2) == 0)\n\n ret = rmap(nx=nxp, dx=self.dx, ny=nyp, dy=self.dy)\n ret.map[(nyp - self.ny) / 2:(nyp + self.ny) / 2, (nxp - self.nx) / 2:(\n nxp + self.nx) / 2] = self.map\n return ret","def extend_to_grid(self, resolution):\n return Bounds(\n min_value = math.floor(self.min/resolution)*resolution,\n max_value = math.ceil(self.max/resolution)*resolution\n )","def center_crop2fixed_pad(im, masks, mask, boxes, classes, target_width, target_height, min_size=2):\n\n h, w, c = im.shape\n ir, tr = float(h) / w, float(target_height) / target_width\n if ir > tr:\n borderw, borderh = int((h / tr - w) / 2), 0\n else:\n borderh, borderw = int((w * tr - h) / 2), 0\n\n im = cv2.copyMakeBorder(im, borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[103, 116, 123])\n mask = cv2.copyMakeBorder(mask, borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[0])\n n = masks.shape[0]\n if n > 1:\n masks = [cv2.copyMakeBorder(m, borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[0]) for m in masks]\n masks = np.asarray(masks)\n elif n == 1:\n masks = cv2.copyMakeBorder(masks.reshape([h, w]), borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[0])\n masks = masks[np.newaxis, :, :]\n\n boxes[:, 0] = boxes[:, 0] + borderw\n boxes[:, 1] = boxes[:, 1] + borderh\n boxes[:, 2] = boxes[:, 2] + borderw\n boxes[:, 3] = boxes[:, 3] + borderh\n\n scale = float(target_height) / im.shape[0]\n im = cv2.resize(im, (target_width, target_height))\n mask = cv2.resize(mask, (target_width, target_height), interpolation=cv2.INTER_NEAREST)\n\n flip = np.random.uniform() > 0.5\n if flip:\n im = cv2.flip(im, 1)\n mask = cv2.flip(mask, 1)\n\n if masks.size > 0:\n masks = np.transpose(masks, (1, 2, 0)) # to (h, w, n)\n masks = cv2.resize(masks, (target_width, target_height), interpolation=cv2.INTER_NEAREST)\n if flip:\n masks = cv2.flip(masks, 1)\n try:\n if masks.ndim > 2:\n masks = np.transpose(masks, (2, 0, 1)) # to (n, h, w)\n else:\n masks = masks.reshape((1, target_height, target_width))\n except ValueError:\n print (masks.ndim, masks.shape)\n raise\n else:\n masks = np.zeros((0, target_height, target_width), masks.dtype)\n\n # bboxes\n boxes = _offset_boxes(boxes, [target_height, target_width], scale, [0, 0], flip)\n boxes, classes, masks = _filter_invalid_boxes(boxes, classes, masks, min_size=min_size)\n return im, masks, mask, boxes, classes","def decision_boundary(self, w, min_x, max_x):\n if np.size(w) < 3:\n w = np.append(w, np.zeros(1))\n x = np.array([min_x, max_x])\n y = -1 * ((w[0] * x) - w[2]) / w[1]\n return x, y","def compute_bounds(self, space):\n bounds = np.zeros((len(space), 2))\n\n for idx, param in enumerate(space):\n\n if TYPE[param[\"type\"]] is TYPE.FLOAT or \\\n TYPE[param[\"type\"]] is TYPE.INTEGER:\n bounds[idx] = (param[\"min\"], param[\"max\"])\n\n elif TYPE[param[\"type\"]] is TYPE.DISCRETE or \\\n TYPE[param[\"type\"]] is TYPE.DISCRETE:\n bounds[idx] = (0, len(param['values']))\n\n return bounds","def get_bounding_box(img):\n rows = np.any(img, axis=1)\n cols = np.any(img, axis=0)\n rmin, rmax = np.where(rows)[0][[0, -1]]\n cmin, cmax = np.where(cols)[0][[0, -1]]\n # due to python indexing, need to add 1 to max\n # else accessing will be 1px in the box, not out\n rmax += 1\n cmax += 1\n return [rmin, rmax, cmin, cmax]","def test_calc_bbox():\n with xr.open_rasterio(TEST_RASTER_PATH) as src:\n xr_res = ds.utils.calc_res(src)\n xr_bounds = ds.utils.calc_bbox(src.x.values, src.y.values, xr_res)\n with rasterio.open(TEST_RASTER_PATH) as src:\n rio_bounds = src.bounds\n assert np.allclose(xr_bounds, rio_bounds, atol=1.0) # allow for absolute diff of 1.0","def _xywh2cs(self, x, y, w, h, padding=1.25):\n aspect_ratio = self.ann_info['image_size'][0] / self.ann_info[\n 'image_size'][1]\n center = np.array([x + w * 0.5, y + h * 0.5], dtype=np.float32)\n\n if (not self.test_mode) and np.random.rand() < 0.3:\n center += 0.4 * (np.random.rand(2) - 0.5) * [w, h]\n\n if w > aspect_ratio * h:\n h = w * 1.0 / aspect_ratio\n elif w < aspect_ratio * h:\n w = h * aspect_ratio\n\n # pixel std is 200.0\n scale = np.array([w / 200.0, h / 200.0], dtype=np.float32)\n # padding to include proper amount of context\n scale = scale * padding\n\n return center, scale","def crop(self, xdiv, ydiv, img, bBoxes=None):\n xstride = img.shape[1] // xdiv\n ystride = img.shape[0] // ydiv\n\n widthLimits = np.zeros((xdiv+1,), dtype=np.int32)\n heightLimits = np.zeros((ydiv+1), dtype=np.int32)\n croppedImages = [[] for _ in range(xdiv*ydiv)]\n croppedBoxes = [[] for _ in range(xdiv*ydiv)]\n index = 0\n for x in range(0, img.shape[1]+1, xstride):\n widthLimits[index] = x\n index += 1\n index = 0\n for y in range(0, img.shape[0]+1, ystride):\n heightLimits[index] = y\n index+=1\n index = 0\n for i in range(len(widthLimits)-1):\n for j in range(len(heightLimits)-1):\n croppedImages[index] = img[heightLimits[j]:heightLimits[j+1], widthLimits[i]:widthLimits[i+1]]\n index += 1\n if bBoxes:\n for box in bBoxes:\n index = 0\n for i in range(len(widthLimits)-1):\n for j in range(len(heightLimits)-1):\n if box[0] >= widthLimits[i] and box[2] < widthLimits[i+1] \\\n and box[1] >= heightLimits[j] and box[3] < heightLimits[j+1]:\n box[0] -= widthLimits[i]\n box[2] -= widthLimits[i]\n box[1] -= heightLimits[j]\n box[3] -= heightLimits[j]\n croppedBoxes[index].append(box)\n index += 1\n return croppedImages, croppedBoxes","def clip_range(x, xlim):\n return min([max([x, xlim[0]]), xlim[1]])","def mgrid_box(X,axis=0,linj=200j,marg_rate=0.1):\n\n if len(X.shape)!=2:\n raise Exception('Only 2-D array is acceptable!')\n\n o_axis=1-axis\n\n X_max=np.max(X,axis=axis)\n X_min=np.min(X,axis=axis)\n lenX=X_max-X_min\n Marg_X=marg_rate*lenX\n X_edgmin, X_edgmax = X_min - Marg_X, X_max + Marg_X\n\n num=np.size(X,axis=o_axis)\n\n slices=[slice(X_edgmin[i],X_edgmax[i],linj) for i in np.arange(num)]\n zz=np.mgrid[slices] if axis==0 else np.array([i.T for i in np.mgrid[slices]])\n\n return zz","def boundary(active, objects):\n limit = SIZE[1]\n for obj in objects:\n if active.pos_x == obj.pos_x:\n limit = min(limit, obj.pos_y)\n active.pos_y = limit-active.height\n active.col_d = True","def check_extent(self):\n if self.lower_left.x > self.upper_right.x:\n dlx = self.lower_left.x\n self.lower_left.x = self.upper_right.x\n self.upper_right.y = dlx\n\n if self.lower_left.y > self.upper_right.y:\n dly = self.lower_left.y\n self.lower_left.y = self.upper_right.y\n self.upper_right.y = dly","def _align_toplevel_grid(self):\n\n # align origin with nearest multple of 128\n self.mins[0] -= self.mins[0] % 128\n self.mins[1] -= self.mins[1] % 128\n\n width = self.maxs[0] - self.mins[0]\n height = self.maxs[1] - self.mins[1]\n greatest_dim = max(width, height)\n nearest_pow_two = int(2 ** np.ceil(np.log2(greatest_dim)))\n width_adjustment = (nearest_pow_two - width)\n height_adjustment = (nearest_pow_two - height)\n\n self.maxs[0] += width_adjustment\n self.maxs[1] += height_adjustment","def printLimits():\n print(\"MinX:\",Drawable._minX)\n print(\"MaxX:\",Drawable._maxX)\n print(\"MinY:\",Drawable._minY)\n print(\"MaxY:\",Drawable._maxY)","def rasterize(con, cellSize=50, xMin=None, yMin=None, xMax=None, yMax=None):\n\n if xMin is None or yMin is None or xMax is None or yMax is None:\n _xMin, _yMin, _xMax, _yMax = con.bounds\n if xMin is None:\n xMin = _xMin\n if yMin is None:\n yMin = _yMin\n if xMax is None:\n xMax = _xMax\n if yMax is None:\n yMax = _yMax\n\n hitXMax = False\n hitYMin = False\n xSlice = 0\n ySlice = 0\n halfCellSize = cellSize / 2.0\n bitmap = []\n\n while not hitYMin:\n bitmap.append([])\n yScan = -(ySlice * cellSize + halfCellSize) + yMax\n if yScan < yMin:\n hitYMin = True\n while not hitXMax:\n xScan = (xSlice * cellSize + halfCellSize) + xMin\n if xScan > xMax:\n hitXMax = True\n test = con.pointInside((xScan, yScan))\n if test:\n bitmap[-1].append(True)\n else:\n bitmap[-1].append(False)\n xSlice = xSlice + 1\n hitXMax = False\n xSlice = 0\n ySlice = ySlice + 1\n\n return bitmap","def board_bounds(live_coords):\n if not live_coords:\n return False\n min_x = live_coords[0][0]\n max_x = live_coords[0][0]\n min_y = live_coords[0][1]\n max_y = live_coords[0][1]\n for i, j in live_coords:\n if min_x > i:\n min_x = i\n if i > max_x:\n max_x = i\n if min_y > j:\n min_y = j\n if j > max_y:\n max_y = j\n return [[min_x, min_y], [max_x, max_y]]","def exclude_points(plot_data: PlotData,\n *data_keys: str,\n limits: dict[str, tuple[float, float]] | None,\n padding: float = 0.1) -> None:\n\n if limits is None:\n return\n\n combined_mask = None\n for data_key in data_keys:\n\n if data_key in limits:\n data_limits = limits[data_key]\n\n #Add padding to both sides of the limits\n data_limits = data_limits[0] - padding * (1 + abs(data_limits[0])), data_limits[1] + padding * (\n 1 + abs(data_limits[1]))\n\n mask = plot_data.get_mask(\n lambda x, data_limits=tuple(data_limits): np.logical_and(x > data_limits[0], x < data_limits[1]),\n data_key=data_key)\n\n if combined_mask is None:\n combined_mask = mask\n else:\n combined_mask = [x & y for x, y in zip(mask, combined_mask)]\n\n if combined_mask is not None:\n plot_data.mask_data(combined_mask)","def get_bounds(self):\n return ([self.t_min] * self.dim,[self.t_max] * self.dim)","def roi_y_offset():\n def r(x):\n return x & 0xFFF\n\n def w(x):\n return min(x, 0xFFF)\n return r, w","def bbox(img):\n a = np.where(img != 0)\n bbox = np.min(a[0]), np.max(a[0]), np.min(a[1]), np.max(a[1])\n return bbox","def pad_image(img_path, width, height, pad_type, value=(0, 0, 0)):\n\n\n\n def get_left_right(margin_width):\n if margin_width % 2 == 0:\n left = margin_width // 2\n right = margin_width // 2\n else:\n left = margin_width // 2\n right = margin_width // 2 + 1\n return left, right\n\n def get_top_bottom(margin_height):\n if margin_height % 2 == 0:\n top = margin_height // 2\n bottom = margin_height // 2\n else:\n top = margin_height // 2\n bottom = margin_height // 2 + 1\n return top, bottom\n \n img = cv2.imread(img_path)\n h, w, _ = img.shape\n img_ratio=h/w\n target_ratio=height/width\n margin_width = width - w\n margin_height = height - h\n # if h >= height and w >= width:\n margin_width = abs(margin_width)\n margin_height = abs(margin_height)\n if img_ratio<target_ratio:\n resize_image(img_path, width=width, type='scale')\n img = cv2.imread(img_path)\n _h, _w, _ = img.shape\n # print(\"new h:\",_h)\n # print(\"new w:\",_w)\n # print(\"t w:\",width)\n # print(\"t h:\",height)\n margin_height = height - _h\n top, bottom = get_top_bottom(margin_height)\n # print(top,bottom)\n img = cv2.copyMakeBorder(img, top, bottom, 0, 0, pad_type, value=value)\n\n else:\n resize_image(img_path, height=height, type='scale')\n img = cv2.imread(img_path)\n _h, _w, _ = img.shape\n margin_width = width - _w\n left, right = get_left_right(margin_width)\n img = cv2.copyMakeBorder(img, 0, 0, left, right, pad_type, value=value)\n\n # elif h <= height and w <= width:\n # img = cv2.resize(img, (width, height))\n # elif h >= height:\n # img = cv2.resize(img, (w, height))\n # h, w, _ = img.shape\n # left, right = get_left_right(margin_width)\n # img = cv2.copyMakeBorder(img, 0, 0, left, right, pad_type, value=value)\n # elif w >= width:\n # img = cv2.resize(img, (width, h))\n # h, w, _ = img.shape\n # top, bottom = get_top_bottom(margin_height)\n # img = cv2.copyMakeBorder(img, top, bottom, 0, 0, pad_type, value=value)\n cv2.imwrite(img_path, img)","def fix_mtcnn_bb(max_y: int, max_x: int, bounding_box: List[int]) -> List[int]:\n x1, y1, dx, dy = bounding_box[:4]\n x2 = x1 + dx\n y2 = y1 + dy\n x1 = max(min(x1, max_x), 0)\n x2 = max(min(x2, max_x), 0)\n y1 = max(min(y1, max_y), 0)\n y2 = max(min(y2, max_y), 0)\n return [x1, y1, x2, y2]","def square_clip(points, bounds):\n\n # Extact x y coordinates from cloud\n xy = points[[\"x\", \"y\"]]\n\n # Create masks for each axis\n x_in = (xy[\"x\"] >= bounds[0]) & (xy[\"x\"] <= bounds[2])\n y_in = (xy[\"y\"] >= bounds[1]) & (xy[\"y\"] <= bounds[3])\n stack = np.stack((x_in, y_in), axis=1)\n in_clip = np.all(stack, axis=1)\n\n return in_clip","def render_limits(\n origin: tuple[float, float],\n size_in_inches: tuple[float, float],\n scale: float,\n) -> tuple[float, float, float, float]:\n min_x, min_y = origin\n max_x = min_x + size_in_inches[0] * scale\n max_y = min_y + size_in_inches[1] * scale\n return min_x, min_y, max_x, max_y"],"string":"[\n \"def compute_image_bounds(pixel_meter_size, frame, beam_width_data, additional_pixel_padding_x=0, additional_pixel_padding_y=0):\\n\\n # Compute the projected locations of all samples so that we can get the extent\\n all_bl = []\\n all_br = []\\n all_fr = []\\n all_fl = []\\n\\n for beam_num in [0, frame.BeamCount / 2, frame.BeamCount - 1]:\\n for bin_num in [0, frame.samplesperbeam - 1]:\\n bl, br, fr, fl = get_box_for_sample(beam_num, bin_num, frame, beam_width_data)\\n\\n all_bl.append(bl)\\n all_br.append(br)\\n all_fr.append(fr)\\n all_fl.append(fl)\\n\\n all_bl = np.array(all_bl)\\n all_br = np.array(all_br)\\n all_fr = np.array(all_fr)\\n all_fl = np.array(all_fl)\\n\\n # Get the xdim extent\\n min_back_left = np.min(all_bl[:,0])\\n min_back_right = np.min(all_br[:,0])\\n min_front_left = np.min(all_fl[:,0])\\n min_front_right = np.min(all_fr[:,0])\\n assert min_back_left < min_back_right\\n assert min_back_left < min_front_left\\n assert min_back_left < min_front_right\\n\\n max_back_left = np.max(all_bl[:,0])\\n max_back_right = np.max(all_br[:,0])\\n max_front_left = np.max(all_fl[:,0])\\n max_front_right = np.max(all_fr[:,0])\\n assert max_back_right > max_back_left\\n assert max_back_right > max_front_left\\n assert max_back_right > max_front_right\\n\\n xdim_extent = np.array([min_back_left, max_back_right])\\n\\n\\n # Get the ydim extent\\n min_back_left = np.min(all_bl[:,1])\\n min_back_right = np.min(all_br[:,1])\\n min_front_left = np.min(all_fl[:,1])\\n min_front_right = np.min(all_fr[:,1])\\n min_front = min(min_front_left, min_front_right)\\n assert min_front < min_back_right\\n assert min_front < min_back_left\\n\\n\\n max_back_left = np.max(all_bl[:,1])\\n max_back_right = np.max(all_br[:,1])\\n max_front_left = np.max(all_fl[:,1])\\n max_front_right = np.max(all_fr[:,1])\\n max_back = max(max_back_left, max_back_right)\\n assert max_back > max_front_right\\n assert max_back > max_front_left\\n\\n ydim_extent = np.array([min_front, max_back])\\n\\n # Determine which meter location corresponds to our \\\"target center\\\"\\n bl, br, fr, fl = get_box_for_sample(frame.BeamCount / 2, 0, frame, beam_width_data)\\n target_center_x = (fl[0] + fr[0]) / 2.\\n target_center_y = (bl[1] + fl[1]) / 2.\\n\\n # Determine the x dimension size and what this corresponds to in meters\\n extra_padding_x = pixel_meter_size + pixel_meter_size * additional_pixel_padding_x\\n\\n # X Min\\n xmin_len = target_center_x - xdim_extent[0]\\n xp = xmin_len % pixel_meter_size\\n xmin_padded = xdim_extent[0] - (extra_padding_x - xp)\\n xmin_len = target_center_x - xmin_padded\\n x_min_cells = np.abs(xmin_len / pixel_meter_size)\\n x_min_meters = target_center_x - xmin_len\\n assert x_min_meters <= xdim_extent[0]\\n\\n\\n # X Max\\n xmax_len = xdim_extent[1] - target_center_x\\n xp = xmax_len % pixel_meter_size\\n xmax_padded = xdim_extent[1] + (extra_padding_x - xp)\\n xmax_len = xmax_padded - target_center_x\\n x_max_cells = np.abs(xmax_len / pixel_meter_size)\\n x_max_meters = target_center_x + xmax_len\\n assert x_max_meters >= xdim_extent[1]\\n\\n\\n # if we want a specific beam to be the in the middle of the image then we should take the max?\\n xdim = int(x_min_cells + x_max_cells)\\n x_meter_start = x_min_meters\\n x_meter_stop = x_max_meters\\n\\n # Determine the y dimension size and what this corresponds to in meters\\n extra_padding_y = pixel_meter_size + pixel_meter_size * additional_pixel_padding_y\\n\\n # Y Min\\n ymin_len = target_center_y - ydim_extent[0]\\n yp = ymin_len % pixel_meter_size\\n ymin_padded = ydim_extent[0] - ( extra_padding_y - yp)\\n ymin_len = target_center_y - ymin_padded\\n y_min_cells = np.abs(ymin_len / pixel_meter_size)\\n y_min_meters = target_center_y - ymin_len\\n assert y_min_meters <= ydim_extent[0]\\n\\n # Y Max\\n ymax_len = ydim_extent[1] - target_center_y\\n yp = ymax_len % pixel_meter_size\\n ymax_padded = ydim_extent[1] + (extra_padding_y - yp)\\n ymax_len = ymax_padded - target_center_y\\n y_max_cells = np.abs(ymax_len / pixel_meter_size)\\n y_max_meters = target_center_y + ymax_len\\n assert y_max_meters >= ydim_extent[1]\\n\\n ydim = int(y_min_cells + y_max_cells)\\n y_meter_start = y_max_meters\\n y_meter_stop = y_min_meters\\n\\n return xdim, ydim, x_meter_start, y_meter_start, x_meter_stop, y_meter_stop\",\n \"def padding(self):\\n if not self._pixels:\\n return Bounds(0, 0, 0, 0)\\n row_inked = tuple(self._1 in _row for _row in self._pixels)\\n if not any(row_inked):\\n return Bounds(self.width, self.height, 0, 0)\\n bottom = row_inked[::-1].index(True)\\n top = row_inked.index(True)\\n col_inked = tuple(self._1 in _col for _col in zip(*self._pixels))\\n left = col_inked.index(True)\\n right = col_inked[::-1].index(True)\\n return Bounds(left, bottom, right, top)\",\n \"def _axes_limits(image_width, fractional_padding=0.5):\\n # calculate widths and padding for each item\\n overlay_width = image_width\\n colorbar_width = int(0.05 * image_width)\\n xy_width = image_width\\n overlay_colorbar_padding_width = int(0.05 * image_width)\\n colorbar_xy_padding_width = int(fractional_padding * image_width)\\n\\n # set limits based on item sizes\\n left_lim = 0\\n right_lim = overlay_width\\n overlay_lim = (left_lim, right_lim)\\n\\n left_lim = right_lim + overlay_colorbar_padding_width\\n right_lim = left_lim + colorbar_width\\n colorbar_lim = (left_lim, right_lim)\\n\\n left_lim = right_lim + colorbar_xy_padding_width\\n right_lim = left_lim + xy_width\\n xy_lim = (left_lim, right_lim)\\n\\n return colorbar_lim, overlay_lim, xy_lim\",\n \"def visualize_grid(Xs, ubound=255.0, padding=1):\\n (N, H, W, C) = Xs.shape\\n grid_size = int(ceil(sqrt(N)))\\n grid_height = H * grid_size + padding * (grid_size - 1)\\n grid_width = W * grid_size + padding * (grid_size - 1)\\n grid = np.zeros((grid_height, grid_width, C))\\n next_idx = 0\\n y0, y1 = 0, H\\n for y in range(grid_size):\\n x0, x1 = 0, W\\n for x in range(grid_size):\\n if next_idx < N:\\n img = Xs[next_idx]\\n low, high = np.min(img), np.max(img)\\n grid[y0:y1, x0:x1] = ubound * (img - low) / (high - low)\\n # grid[y0:y1, x0:x1] = Xs[next_idx]\\n next_idx += 1\\n x0 += W + padding\\n x1 += W + padding\\n y0 += H + padding\\n y1 += H + padding\\n # grid_max = np.max(grid)\\n # grid_min = np.min(grid)\\n # grid = ubound * (grid - grid_min) / (grid_max - grid_min)\\n return grid\",\n \"def checkRange(x,y,w,h,maxW,maxH):\\n if x < 0:\\n x = 0\\n if y < 0:\\n y = 0\\n if x + w >= maxW:\\n w = maxW-x-1\\n if y + h >= maxH:\\n h = maxH-y-1\\n return [x,y,w,h]\",\n \"def __clip_bbox(min_y, min_x, max_y, max_x):\\n min_y = tf.clip_by_value(min_y, 0.0, 1.0)\\n min_x = tf.clip_by_value(min_x, 0.0, 1.0)\\n max_y = tf.clip_by_value(max_y, 0.0, 1.0)\\n max_x = tf.clip_by_value(max_x, 0.0, 1.0)\\n return min_y, min_x, max_y, max_x\",\n \"def bounds(self):\\n return self.min_col, self.min_row, self.max_col, self.max_row\",\n \"def _get_bounds(x, y, size):\\n x = np.array(np.atleast_1d(x))\\n y = np.array(np.atleast_1d(y))\\n\\n lower_x = np.rint(x - size[0]/2)\\n lower_y = np.rint(y - size[1]/2)\\n\\n return np.stack((np.stack((lower_x, lower_x + size[0]), axis=1),\\n np.stack((lower_y, lower_y + size[1]), axis=1)), axis=1).astype(int)\",\n \"def crop(masks, boxes, padding: int = 1):\\n h, w, n = masks.shape\\n x1, x2 = sanitize_coordinates(boxes[:, 0:1:1], boxes[:, 2:3:1], w, padding, cast=False)\\n y1, y2 = sanitize_coordinates(boxes[:, 1:2:1], boxes[:, 3:4:1], h, padding, cast=False)\\n\\n cast = P.Cast()\\n broadcast_to = P.BroadcastTo((h, w, n))\\n row = broadcast_to((P.range(Tensor(0, mindspore.int32),\\n Tensor(w, mindspore.int32),\\n Tensor(1, mindspore.int32)).view(1, -1, 1)))\\n rows = cast(row, x1.dtype)\\n col = broadcast_to((P.range(Tensor(0, mindspore.int32),\\n Tensor(w, mindspore.int32),\\n Tensor(1, mindspore.int32)).view(-1, 1, 1)))\\n cols = cast(col, x2.dtype)\\n\\n\\n masks_left = rows >= x1.view(1, 1, -1)\\n masks_right = rows < x2.view(1, 1, -1)\\n masks_left = P.Cast()(masks_left, mindspore.float16)\\n masks_right = P.Cast()(masks_right, mindspore.float16)\\n crop_mask = masks_left * masks_right\\n masks_up = cols >= y1.view(1, 1, -1)\\n masks_up = P.Cast()(masks_up, mindspore.float16)\\n crop_mask *= masks_up\\n masks_down = cols < y2.view(1, 1, -1)\\n masks_down = P.Cast()(masks_down, mindspore.float16)\\n crop_mask *= masks_down\\n\\n return masks * crop_mask\",\n \"def image_crop_pad_cv2(images,pos_x,pos_y,pix,final_h,final_w,padding_mode=\\\"cv2.BORDER_CONSTANT\\\"):\\r\\n #Convert position of cell from \\\"um\\\" to \\\"pixel index\\\"\\r\\n pos_x,pos_y = pos_x/pix,pos_y/pix \\r\\n\\r\\n for i in range(len(images)):\\r\\n image = images[i]\\r\\n \\r\\n #Compute the edge-coordinates that define the cropped image\\r\\n y1 = np.around(pos_y[i]-final_h/2.0) \\r\\n x1 = np.around(pos_x[i]-final_w/2.0) \\r\\n y2 = y1+final_h \\r\\n x2 = x1+final_w\\r\\n\\r\\n #Are these coordinates within the oringinal image?\\r\\n #If not, the image needs padding\\r\\n pad_top,pad_bottom,pad_left,pad_right = 0,0,0,0\\r\\n\\r\\n if y1<0:#Padding is required on top of image\\r\\n pad_top = int(abs(y1))\\r\\n y1 = 0 #set y1 to zero and pad pixels after cropping\\r\\n \\r\\n if y2>image.shape[0]:#Padding is required on bottom of image\\r\\n pad_bottom = int(y2-image.shape[0])\\r\\n y2 = image.shape[0]\\r\\n \\r\\n if x1<0:#Padding is required on left of image\\r\\n pad_left = int(abs(x1))\\r\\n x1 = 0\\r\\n \\r\\n if x2>image.shape[1]:#Padding is required on right of image\\r\\n pad_right = int(x2-image.shape[1])\\r\\n x2 = image.shape[1]\\r\\n \\r\\n #Crop the image\\r\\n temp = image[int(y1):int(y2),int(x1):int(x2)]\\r\\n\\r\\n if pad_top+pad_bottom+pad_left+pad_right>0:\\r\\n if padding_mode==\\\"Delete\\\":\\r\\n temp = np.zeros_like(temp)\\r\\n else:\\r\\n #Perform all padding operations in one go\\r\\n temp = cv2.copyMakeBorder(temp, pad_top, pad_bottom, pad_left, pad_right, eval(padding_mode))\\r\\n \\r\\n images[i] = temp\\r\\n \\r\\n return images\",\n \"def boundary(self,image,i,j):\\r\\n if((j >=25- self.padding) and (j <=175+ self.padding ) and (i >= 425- self.padding) and (i <= 575+ self.padding)):\\r\\n image[self.maximum_size-i,j,:]=0,0,0\\r\\n self.image_p[i,j,:]=2\\r\\n #print(2)\\r\",\n \"def image_crop_pad_cv2(images,pos_x,pos_y,pix,final_h,final_w,padding_mode=\\\"cv2.BORDER_CONSTANT\\\"):\\r\\n #Convert position of cell from \\\"um\\\" to \\\"pixel index\\\"\\r\\n pos_x = [pos_x_/pix for pos_x_ in pos_x]\\r\\n pos_y = [pos_y_/pix for pos_y_ in pos_y]\\r\\n padding_modes = [\\\"cv2.BORDER_CONSTANT\\\",\\\"cv2.BORDER_REFLECT\\\",\\\"cv2.BORDER_REFLECT_101\\\",\\\"cv2.BORDER_REPLICATE\\\",\\\"cv2.BORDER_WRAP\\\"]\\r\\n \\r\\n for i in range(len(images)):\\r\\n image = images[i]\\r\\n \\r\\n #Compute the edge-coordinates that define the cropped image\\r\\n y1 = np.around(pos_y[i]-final_h/2.0) \\r\\n x1 = np.around(pos_x[i]-final_w/2.0) \\r\\n y2 = y1+final_h \\r\\n x2 = x1+final_w\\r\\n\\r\\n #Are these coordinates within the oringinal image?\\r\\n #If not, the image needs padding\\r\\n pad_top,pad_bottom,pad_left,pad_right = 0,0,0,0\\r\\n\\r\\n if y1<0:#Padding is required on top of image\\r\\n pad_top = int(abs(y1))\\r\\n y1 = 0 #set y1 to zero and pad pixels after cropping\\r\\n \\r\\n if y2>image.shape[0]:#Padding is required on bottom of image\\r\\n pad_bottom = int(y2-image.shape[0])\\r\\n y2 = image.shape[0]\\r\\n \\r\\n if x1<0:#Padding is required on left of image\\r\\n pad_left = int(abs(x1))\\r\\n x1 = 0\\r\\n \\r\\n if x2>image.shape[1]:#Padding is required on right of image\\r\\n pad_right = int(x2-image.shape[1])\\r\\n x2 = image.shape[1]\\r\\n \\r\\n #Crop the image\\r\\n temp = image[int(y1):int(y2),int(x1):int(x2)]\\r\\n\\r\\n if pad_top+pad_bottom+pad_left+pad_right>0:\\r\\n if padding_mode.lower()==\\\"delete\\\":\\r\\n temp = np.zeros_like(temp)\\r\\n else:\\r\\n #Perform all padding operations in one go\\r\\n if padding_mode.lower()==\\\"alternate\\\":\\r\\n ind = rand_state.randint(low=0,high=len(padding_modes))\\r\\n padding_mode = padding_modes[ind]\\r\\n temp = cv2.copyMakeBorder(temp, pad_top, pad_bottom, pad_left, pad_right, eval(padding_modes[ind]))\\r\\n else:\\r\\n temp = cv2.copyMakeBorder(temp, pad_top, pad_bottom, pad_left, pad_right, eval(padding_mode))\\r\\n \\r\\n images[i] = temp\\r\\n \\r\\n return images\",\n \"def __padding(self, image, boxes, height, width):\\n temp = boxes[:, :4].astype(np.int)\\n y1 = np.where(temp[:, 0] < 0)[0]\\n if len(y1) > 0:\\n temp[y1, 0] = 0\\n x1 = np.where(temp[:, 1] < 0)[0]\\n if len(x1) > 0:\\n temp[x1, 0] = 0\\n y2 = np.where(temp[:, 2] > image.shape[0] - 1)[0]\\n if len(y2) > 0:\\n temp[y2, 0] = image.shape[0] - 1\\n x2 = np.where(temp[:, 3] > image.shape[1] - 1)[0]\\n if len(x2) > 0:\\n temp[x2, 0] = image.shape[1] - 1\\n pad_top = np.abs(temp[:, 0] - boxes[:, 0]).astype(np.int)\\n pad_left = np.abs(temp[:, 1] - boxes[:, 1]).astype(np.int)\\n pad_bottom = np.abs(temp[:, 2] - boxes[:, 2]).astype(np.int)\\n pad_right = np.abs(temp[:, 3] - boxes[:, 3]).astype(np.int)\\n input_data = np.empty([boxes.shape[0], 3, height, width], dtype=np.float32)\\n for i in range(boxes.shape[0]):\\n crop_img = image[temp[i, 0]:temp[i, 2] + 1, temp[i, 1]:temp[i, 3] + 1, :]\\n crop_img = cv2.copyMakeBorder(crop_img, pad_top[i], pad_bottom[i], \\\\\\n pad_left[i], pad_right[i], cv2.BORDER_CONSTANT, value=0)\\n if crop_img is None:\\n continue\\n crop_img = cv2.resize(crop_img, (width, height)).astype(np.float32)\\n crop_img[:, :, 0] -= self.mean[0]\\n crop_img[:, :, 1] -= self.mean[1]\\n crop_img[:, :, 2] -= self.mean[2]\\n crop_img *= self.scale_factor\\n crop_img = np.transpose(crop_img, (2, 0, 1))\\n input_data[i] = crop_img.copy()\\n return input_data\",\n \"def _get_padded_grid_(ax):\\n ax_pad = np.zeros(ax.size + 2)\\n ax_pad[1:-1] = ax\\n ax_pad[0] = ax[0] - (ax[2] - ax[1])\\n ax_pad[-1] = ax[-1] + (ax[2] - ax[1])\\n\\n return ax_pad\",\n \"def crop_mask(mask, crop_offset=0.5):\\n maxx, maxy, minx, miny = 0, 0, 0, 0\\n for r in range(0, mask.shape[0]):\\n if np.min(mask[r]) < 255:\\n minx = int(r + mask.shape[0] * (crop_offset / 100))\\n break\\n\\n for r in range(mask.shape[0] - 1, 0, -1):\\n if np.min(mask[r]) < 255:\\n maxx = int(r - mask.shape[0] * (crop_offset / 100))\\n break\\n\\n for c in range(0, mask.shape[1]):\\n if np.min(mask[:, c]) < 255:\\n miny = int(c + mask.shape[1] * (crop_offset / 100))\\n break\\n\\n for c in range(mask.shape[1] - 1, 0, -1):\\n if np.min(mask[:, c]) < 255:\\n maxy = int(c - mask.shape[1] * (crop_offset / 100))\\n break\\n\\n return (maxx, maxy, minx, miny)\",\n \"def _grid_around_star(self, x0, y0, data):\\n lenx, leny = data.shape\\n xmin, xmax = max(x0 - self._box / 2, 0), min(x0 + self._box / 2 + 1, lenx - 1)\\n ymin, ymax = max(y0 - self._box / 2, 0), min(y0 + self._box / 2 + 1, leny - 1)\\n return np.mgrid[int(xmin) : int(xmax), int(ymin) : int(ymax)]\",\n \"def boundary1(self,image,i,j):\\r\\n if((j >=375- self.padding) and (j <=625+ self.padding ) and (i >= 425- self.padding) and (i <= 575+ self.padding)):\\r\\n image[self.maximum_size-i,j,:]=0,0,0\\r\\n self.image_p[i,j,:]=2\",\n \"def adjustCoordByBorders(self, x, y):\\n (x_offset, y_offset) = (0, 0)\\n if (127 < x < (255+4)):\\n x_offset -= 4\\n \\n if (31 < y < (63+4*1)):\\n y_offset -= 4\\n elif ( (63+4*1) < y < (95+4*2) ):\\n y_offset -= 4*2\\n elif ( (95+4*2) < y < (127+4*3) ):\\n y_offset -= 4*3\\n elif ( (127+4*3) < y < (159+4*4) ):\\n y_offset -= 4*4\\n elif ( (159+4*4) < y < (191+4*5) ):\\n y_offset -= 4*5\\n elif ( (191+4*5) < y < (223+4*6) ):\\n y_offset -= 4*6\\n elif ( (223+4*6) < y < (255+4*7) ):\\n y_offset -= 4*7\\n return x_offset, y_offset\",\n \"def _in_bounds(self, x, y):\\r\\n return 0 <= x < 8 and 0 <= y < 8\",\n \"def _clip_boxes(boxes, im_shape):\\n # x1 >= 0\\n boxes[:, 0::4] = np.maximum(boxes[:, 0::4], 0)\\n # y1 >= 0\\n boxes[:, 1::4] = np.maximum(boxes[:, 1::4], 0)\\n # x2 < im_shape[1]\\n boxes[:, 2::4] = np.minimum(boxes[:, 2::4], im_shape[1] - 1)\\n # y2 < im_shape[0]\\n boxes[:, 3::4] = np.minimum(boxes[:, 3::4], im_shape[0] - 1)\\n return boxes\",\n \"def _clip_boxes(boxes, im_shape):\\n # x1 >= 0\\n boxes[:, 0::4] = np.maximum(boxes[:, 0::4], 0)\\n # y1 >= 0\\n boxes[:, 1::4] = np.maximum(boxes[:, 1::4], 0)\\n # x2 < im_shape[1]\\n boxes[:, 2::4] = np.minimum(boxes[:, 2::4], im_shape[1] - 1)\\n # y2 < im_shape[0]\\n boxes[:, 3::4] = np.minimum(boxes[:, 3::4], im_shape[0] - 1)\\n return boxes\",\n \"def _compute_equal_axes_ranges(x_min, x_max, y_min, y_max):\\n\\n x_axis_min, x_axis_max, y_axis_min, y_axis_max = x_min, x_max, y_min, y_max\\n x_range, y_range = abs(x_max - x_min), abs(y_max - y_min)\\n if x_range > y_range:\\n y_center = (y_max + y_min) / 2\\n y_axis_max = y_center + x_range / 2\\n y_axis_min = y_center - x_range / 2\\n else:\\n x_center = (x_max + x_min) / 2\\n x_axis_max = x_center + y_range / 2\\n x_axis_min = x_center - y_range / 2\\n\\n return x_axis_min, x_axis_max, y_axis_min, y_axis_max\",\n \"def clip_grid(grid, xr, yr, extra_m=5000):\\n\\n min_x = np.min(xr)\\n min_y = np.min(yr)\\n max_x = np.max(xr)\\n max_y = np.max(yr)\\n\\n mask_x = np.logical_and(grid.x['data'] > min_x - extra_m,\\n grid.x['data'] < max_x + extra_m)\\n mask_y = np.logical_and(grid.y['data'] > min_y - extra_m,\\n grid.y['data'] < max_y + extra_m)\\n\\n grid.x['data'] = grid.x['data'][mask_x]\\n grid.y['data'] = grid.y['data'][mask_y]\\n for f in grid.fields.keys():\\n nz = len(grid.fields[f]['data']) # Nb of z levels\\n grid.fields[f]['data'] = grid.fields[f]['data'][np.ix_(range(nz),\\n mask_y, mask_x)]\\n grid.nx = len(grid.x['data'])\\n grid.ny = len(grid.y['data'])\\n return grid\",\n \"def visualize_grid(Xs, ubound=255.0, padding=1):\\n pixel_sz = 2\\n (H, W, C, N) = Xs.shape\\n\\n Xs_resize = np.zeros((H*pixel_sz, W*pixel_sz, C, N))\\n Xs = (ubound*(Xs-np.min(Xs))/(np.max(Xs)-np.min(Xs))).astype('uint8')\\n\\n for c in range(C):\\n for n in range(N):\\n Xs_resize[:,:,c,n] = imresize(Xs[:,:,c,n], 200, interp='nearest')\\n Xs = Xs_resize\\n\\n (H, W, C, N) = Xs.shape\\n low, high = np.min(Xs), np.max(Xs)\\n\\n if C==1 or C==3:\\n grid_size_H = int(ceil(sqrt(N)))\\n grid_size_W = int(ceil(sqrt(N)))\\n else:\\n grid_size_H = N\\n grid_size_W = C\\n\\n count = 0\\n grid_height = H * grid_size_H + padding * (grid_size_H-1)\\n grid_width = W * grid_size_W + padding * (grid_size_W-1)\\n grid = np.zeros((grid_height, grid_width, C))\\n y0, y1 = 0, H\\n for y in range(grid_size_H):\\n x0, x1 = 0, W\\n for x in range(grid_size_W):\\n if C==1 or C==3:\\n img = Xs[:,:,:,count]\\n count += 1\\n else:\\n img = np.expand_dims(Xs[:,:,x,y], axis=-1)\\n\\n grid[y0:y1, x0:x1, :] = ubound * (img - low) / (high - low)\\n x0 += W + padding\\n x1 += W + padding\\n\\n y0 += H + padding\\n y1 += H + padding\\n\\n if C!=3:\\n grid = grid[:,:,0]\\n return grid\",\n \"def _fix_span(x, y, xmin, xmax):\\n if x.ndim != 1:\\n return x, y\\n\\n # Roll in same direction if some points on right-edge extend\\n # more than 360 above min longitude; *they* should be on left side\\n lonroll = np.where(x > xmin + 360)[0] # tuple of ids\\n if lonroll.size: # non-empty\\n roll = x.size - lonroll.min()\\n x = np.roll(x, roll)\\n y = np.roll(y, roll, axis=-1)\\n x[:roll] -= 360 # make monotonic\\n\\n # Set NaN where data not in range xmin, xmax. Must be done\\n # for regional smaller projections or get weird side-effects due\\n # to having valid data way outside of the map boundaries\\n y = y.copy()\\n if x.size - 1 == y.shape[-1]: # test western/eastern grid cell edges\\n y[..., (x[1:] < xmin) | (x[:-1] > xmax)] = np.nan\\n elif x.size == y.shape[-1]: # test the centers and pad by one for safety\\n where = np.where((x < xmin) | (x > xmax))[0]\\n y[..., where[1:-1]] = np.nan\\n\\n return x, y\",\n \"def calculate_min_max_tiles(self):\",\n \"def _cell_bounds_xy(self, x, y, dx = None):\\n\\t\\tif dx is None:\\n\\t\\t\\tlev = bhpix.get_pixel_level(x, y)\\n\\t\\t\\tdx = bhpix.pix_size(lev)\\n\\t\\t\\t##dx = bhpix.pix_size(self.level)\\n\\n\\t\\tbounds = Polygon.Shapes.Rectangle(dx)\\n\\t\\tbounds.shift(x - 0.5*dx, y - 0.5*dx);\\n\\n\\t\\tif fabs(fabs(x) - fabs(y)) == 0.5:\\n\\t\\t\\t# If it's a \\\"halfpixel\\\", return a triangle\\n\\t\\t\\t# by clipping agains the sky\\n\\t\\t\\tbounds &= bn.ALLSKY\\n\\n\\t\\treturn bounds\",\n \"def _filter_img_boxes(boxes, im_info):\\n padding = 50\\n w_min = -padding\\n w_max = im_info[1] + padding\\n h_min = -padding\\n h_max = im_info[0] + padding\\n keep = np.where((w_min <= boxes[:,0]) & (boxes[:,2] <= w_max) & (h_min <= boxes[:,1]) &\\n (boxes[:,3] <= h_max))[0]\\n return keep\",\n \"def sanitize_coordinates(_x1, _x2, img_size: int, padding: int = 0, cast: bool = True):\\n _x1 = _x1 * img_size\\n _x2 = _x2 * img_size\\n if cast:\\n _x1 = _x1.long()\\n _x2 = _x2.long()\\n coordinates_min = P.Minimum()\\n coordinates_max = P.Maximum()\\n x1 = coordinates_min(_x1, _x2)\\n x2 = coordinates_max(_x1, _x2)\\n\\n select = P.Select()\\n zeroslike = P.ZerosLike()\\n oneslike = P.OnesLike()\\n min_tensor = zeroslike(x1 - padding)\\n x1 = select(min_tensor > x1 - padding, min_tensor, x1 - padding)\\n\\n max_tensor = oneslike(x2 + padding) * img_size\\n x2 = select(x2 + padding > max_tensor, max_tensor, x2 + padding)\\n\\n\\n return x1, x2\",\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 remove_border_vals(img, x: torch.Tensor, y: torch.Tensor, c: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]: \\r\\n\\r\\n new_x = img.shape[3] - 8\\r\\n new_y = img.shape[2] - 8\\r\\n \\r\\n mask = x.ge(8) & x.le(new_x) & y.ge(8) & y.le(new_y)\\r\\n x = torch.masked_select(x, mask)\\r\\n y = torch.masked_select(y, mask)\\r\\n c = torch.masked_select(c, mask)\\r\\n\\r\\n return x, y, c\",\n \"def _clip_tiled_boxes(self, boxes, im_shape):\\n assert boxes.shape[1] % 4 == 0, \\\\\\n 'boxes.shape[1] is {:d}, but must be divisible by 4.'.format(\\n boxes.shape[1]\\n )\\n # x1 >= 0\\n boxes[:, 0::4] = np.maximum(np.minimum(boxes[:, 0::4], im_shape[1] - 1), 0)\\n # y1 >= 0\\n boxes[:, 1::4] = np.maximum(np.minimum(boxes[:, 1::4], im_shape[0] - 1), 0)\\n # x2 < im_shape[1]\\n boxes[:, 2::4] = np.maximum(np.minimum(boxes[:, 2::4], im_shape[1] - 1), 0)\\n # y2 < im_shape[0]\\n boxes[:, 3::4] = np.maximum(np.minimum(boxes[:, 3::4], im_shape[0] - 1), 0)\\n return boxes\",\n \"def boundary2(self,image,i,j):\\r\\n if((j >=725- self.padding) and (j <=875+ self.padding ) and (i >= 200- self.padding) and (i <= 400+ self.padding)):\\r\\n image[self.maximum_size-i,j,:]=0,0,0\\r\\n self.image_p[i,j,:]=2\",\n \"def crop(img, boundaries):\\n minx, miny, maxx, maxy = boundaries\\n return img[miny:maxy, minx:maxx]\",\n \"def in_bounds(self, x, y):\\n return x >= 0 and x < 8 and y >= 0 and y < 8\",\n \"def create_grid(xlim, ylim, step):\\n x_range = np.arange(xlim[0], xlim[1], step)\\n y_range = np.arange(ylim[0], ylim[1], step)\\n return x_range, y_range\",\n \"def expanded_boundaries(self):\\n width = self._points[0][3][0] - self._points[0][1][0]\\n height = self._points[0][3][1] - self._points[0][1][1]\\n factor = np.multiply((width, height), Window.BORDER)\\n return (\\n np.subtract(self._points[0][1], factor),\\n np.add(self._points[0][3], factor))\",\n \"def check_image_size(self, x):\\n _, _, h, w = x.size()\\n mod_pad_h = (self.window_size -\\n h % self.window_size) % self.window_size\\n mod_pad_w = (self.window_size -\\n w % self.window_size) % self.window_size\\n x = F.pad(x, (0, mod_pad_w, 0, mod_pad_h), 'reflect')\\n return x\",\n \"def get_bounds(self):\\n occupied_locations = self.board.keys()\\n min_x = min(p[0] for p in occupied_locations)\\n max_x = max(p[0] for p in occupied_locations)\\n min_y = min(p[1] for p in occupied_locations)\\n max_y = max(p[1] for p in occupied_locations)\\n return ((min_x, max_x), (min_y, max_y))\",\n \"def square_boundaries(px , py, pz, incx, incy, incz, min_x, min_y, min_z, max_x, max_y, max_z):\\n\\n if px < min_x or px > max_x: \\n pcx = px - incx \\n\\n if py < min_y or py > max_y:\\n pcy = py - incy \\n\\n if pz < min_z or pz > max_z:\\n pcz = pz - incz \\n\\n return pcx, pcy, pcz\",\n \"def _bbox_clip(self, bbox, img_h, img_w):\\n bbox[0] = bbox[0].clamp(0., img_w)\\n bbox[1] = bbox[1].clamp(0., img_h)\\n bbox[2] = bbox[2].clamp(10., img_w)\\n bbox[3] = bbox[3].clamp(10., img_h)\\n return bbox\",\n \"def pad_vector_grid(vector_sequences, grid_shape_sequences, max_grid_shape = None, dtype = 'int32', padding = 'pre', truncating = 'pre', value = 0.):\\n\\t\\n row_lengths = [s[0] for s in grid_shape_sequences]\\n col_lengths = [s[1] for s in grid_shape_sequences]\\n assert vector_sequences[0] is not None \\n dim = vector_sequences[0].shape[1] \\n nb_samples = len(vector_sequences)\\n if max_grid_shape is None:\\n max_grid_shape = (np.max(row_lengths), np.max(col_lengths))\\n x = np.ones( (nb_samples,)+ max_grid_shape +(dim,)).astype(dtype)* value \\n mask = np.zeros((nb_samples,)+max_grid_shape)\\n for idx, vs in enumerate(vector_sequences):\\n if len(vs) == 0:\\n continue\\n grid_vec = np.reshape(vs,(tuple(grid_shape_sequences[idx]) + (dim,)) , order='F')\\n # testiing code\\n #patchRow, patchCol = [25,25]\\n #showGrid(grid_vec, grid_shape_sequences[idx], [patchRow, patchCol]) \\n if truncating == 'pre': \\n trunc = grid_vec[-max_grid_shape[0]:,-max_grid_shape[1]:,:]\\n elif truncating == 'post':\\n trunc = grid_vec[:max_grid_shape[0],:max_grid_shape[1],:]\\n else:\\n raise ValueError(\\\"Truncating type '%s' not understood\\\" % padding)\\n \\n if padding == 'post':\\n x[idx,:trunc.shape[0],:trunc.shape[1],:] = trunc.copy()\\n mask[idx, :trunc.shape[0],:trunc.shape[1]] = 1\\n elif padding == 'pre':\\n x[idx, -trunc.shape[0]:,-trunc.shape[1]:, :] = trunc.copy()\\n mask[idx, -trunc.shape[0]:, -trunc.shape[1]:] = 1\\n else:\\n raise ValueError(\\\"PAdding type '%s' not understood\\\" % padding) \\n #showGrid(x[idx,::], max_grid_shape, [patchRow, patchCol]) \\n return x , mask# -*- coding: utf-8 -*-\",\n \"def _update_limits(self):\\n if self.pos_x > self.max_x:\\n self.max_x = self.pos_x\\n if self.pos_y > self.max_y:\\n self.max_y = self.pos_y\\n if self.pos_x < self.min_x:\\n self.min_x = self.pos_x\\n if self.pos_y < self.min_y:\\n self.min_y = self.pos_y\",\n \"def _xywh2min_max(box):\\n x, y, w, h = box\\n return np.array([x, y, x+w, y+h])\",\n \"def _build_list_of_excluded_pixels2(self, exclude_zones, img_width, img_height):\\n \\n full_image = numpy.ones((img_height, img_width), dtype=uint8)\\n for x, y, width, height in exclude_zones:\\n \\n # creates a matrix where 0 is placed on pixels to exclude, and 1 on pixel to keep\\n exclusion = numpy.zeros((height, width), dtype=uint8)\\n exclusion = numpy.pad(exclusion, ((min(y, img_height) , max(0, img_height - (y + height))), (min(x, img_width), max(0, img_width - (x + width)))), constant_values=1)\\n \\n full_image *= exclusion[0:img_height, 0:img_width] # crop exclusion array if it's size is higher than image (exclusion zone outside of image dimensions)\\n \\n return full_image\",\n \"def limit_roi(roi, im_height, im_width):\\r\\n left = max(0, roi[0])\\r\\n top = max(0, roi[1])\\r\\n right = min(im_width - 1, roi[2])\\r\\n bottom = min(im_height - 1, roi[3])\\r\\n\\r\\n return [left, top, right, bottom]\",\n \"def set_lim(x, y, **kws):\\n per = kws['per']\\n min_per = 50 - per/2\\n max_per = per/2 + 50\\n xper = np.nanpercentile(x,[min_per,max_per])\\n yper = np.nanpercentile(y,[min_per,max_per])\\n ax = plt.gca()\\n ax.set_xlim(xper)\\n ax.set_ylim(yper)\",\n \"def boundary_check(limits : tuple, coords : tuple) -> bool:\\n xl,xh,yl,yh = limits\\n x,y = coords\\n bound_x = xl <= x and x < xh\\n bound_y = yl <= y and y < yh\\n return bound_x and bound_y\",\n \"def rescale_axes(self, x=True, y=True, xlim=None, ylim=None, \\n tighten_up=0): \\n \\n # First, figure out what limits should be\\n col_xlim = [[1e10, -1e10] for i in range(self.dims[0])]\\n row_ylim = [[1e10, -1e10] for i in range(self.dims[1])]\\n \\n # Loop over axes\\n for i in range(self.N):\\n if self.grid[i] is None:\\n continue\\n \\n # column, row\\n j, k = self.axis_position(i)\\n \\n if self.above_diagonal(i):\\n continue\\n \\n if x and xlim is None:\\n col_xlim[j][0] = min(col_xlim[j][0], self.grid[i].dataLim.min[0])\\n col_xlim[j][1] = max(col_xlim[j][1], self.grid[i].dataLim.max[0]) \\n elif x:\\n col_xlim[j][0] = xlim[0]\\n col_xlim[j][1] = xlim[1]\\n \\n if self.diagonal is not None and i in self.diag:\\n continue\\n \\n if y and (ylim is None): \\n row_ylim[k][0] = min(row_ylim[k][0], self.grid[i].dataLim.min[1])\\n row_ylim[k][1] = max(row_ylim[k][1], self.grid[i].dataLim.max[1]) \\n elif y:\\n row_ylim[k][0] = ylim[0]\\n row_ylim[k][1] = ylim[1] \\n \\n # Apply limits \\n for i in range(self.N):\\n if self.grid[i] is None:\\n continue\\n \\n # column, row \\n j, k = self.axis_position(i)\\n \\n col_tmp = [col_xlim[j][0] * (1. + tighten_up * np.sign(col_xlim[j][0])),\\n col_xlim[j][1] * (1. - tighten_up * np.sign(col_xlim[j][1]))]\\n \\n row_tmp = [row_ylim[k][0] * (1. + tighten_up * np.sign(row_ylim[k][0])),\\n row_ylim[k][1] * (1. - tighten_up * np.sign(row_ylim[k][1]))]\\n\\n # Kludge\\n if np.all(np.isfinite(col_tmp)):\\n self.grid[i].set_xlim(col_tmp)\\n \\n if self.diagonal and i in self.diag:\\n continue\\n\\n if np.all(np.isfinite(row_tmp)):\\n self.grid[i].set_ylim(row_tmp)\\n\\n pl.draw()\",\n \"def bounds(self):\\n return self.xmin, self.xmax, self.ymin, self.ymax\",\n \"def get_limits(self, idx):\\n if idx < self.nb_sub_images - 1:\\n pixel_step = self.window_size - self.recovery\\n\\n return idx * pixel_step, idx * pixel_step + self.window_size\\n elif idx == self.nb_sub_images - 1:\\n return - self.window_size, None\\n else:\\n return None, None\",\n \"def make_tiles_limits(im, n_splits, margin=0):\\n \\n if n_splits == 1:\\n return [0, im.shape[1], 0, im.shape[0]]\\n # number of splits per axis\\n ax_splits = int(np.log2(n_splits))\\n x_segments = split_range(im.shape[1], ax_splits)\\n y_segments = split_range(im.shape[0], ax_splits)\\n \\n if margin > 0:\\n x_segments = extend_indices(x_segments, margin=margin)\\n y_segments = extend_indices(y_segments, margin=margin)\\n \\n # make combinations of [xmin, xmax, ymin, ymax] indices of tiles\\n tiles_indices = []\\n for xlim in x_segments:\\n for ylim in y_segments:\\n tiles_indices.append(xlim + ylim)\\n return tiles_indices\",\n \"def internal_bounds(self) -> tuple[float, float, float, float]:\\n xres, yres = self.res\\n w, s, e, n = self.bounds\\n y0, y1 = (n, s) if yres < 0 else (s, n)\\n x0, x1 = (e, w) if xres < 0 else (w, e)\\n return x0, y0, x1, y1\",\n \"def canvas_bounds(self) -> utils.BoxRegion:\",\n \"def checkCanvasBoundsAndWrap(self):\\n #check along the x axis\\n if (self.xPos<0):\\n self.setXPos(self.canvasIGetDrawnOnsWidth)\\n \\n elif (self.xPos>self.canvasIGetDrawnOnsWidth):\\n self.setXPos(0)\\n #check along the y axis\\n if (self.yPos<0):\\n self.setYPos(self.canvasIGetDrawnOnsHeight)\\n \\n elif (self.yPos>self.canvasIGetDrawnOnsHeight):\\n self.setYPos(0)\",\n \"def get_padding_sizes(self, div, dim):\\n # ghost cells in the y direction\\n target_shape = div * np.ceil(dim / div)\\n target_shape_diff = target_shape - dim\\n\\n pad_low = int(np.ceil(target_shape_diff / 2.0))\\n pad_high = int(np.floor(target_shape_diff / 2.0))\\n\\n return pad_low, pad_high\",\n \"def _edit_border_tiles(self, vmf: VMF, seg_min: Vec, seg_max: Vec, border: bool, blacken: bool) -> None:\\n up = abs(self.up_axis)\\n forward = (seg_max - seg_min).norm()\\n norm_dir = self.normal().axis()\\n\\n tiledefs_up: list[tiling.TileDef] = []\\n tiledefs_dn: list[tiling.TileDef] = []\\n\\n overlay_len = int((seg_max - seg_min).mag())\\n\\n # We need to snap the axis normal_axis to the grid, since it could\\n # be forward or back.\\n min_pos = seg_min.copy()\\n min_pos[norm_dir] = min_pos[norm_dir] // 128 * 128 + 64\\n\\n u_ax, v_ax = Vec.INV_AXIS[up.axis()]\\n side_dir = Vec.dot(abs(Vec.cross(up, forward)), seg_min - min_pos)\\n side_ind = round((side_dir + 48) / 32, 2) # 0/1/2/3 for the center of tiles.\\n # 4.5 -> [4, 5] and 4 -> [4].\\n pos_iter = sorted({round(side_ind - 0.25), round(side_ind + 0.25)})\\n if u_ax == forward.axis():\\n uv_pos = [\\n (u, v)\\n for u in range(4)\\n for v in pos_iter\\n ]\\n elif v_ax == forward.axis():\\n uv_pos = [\\n (u, v)\\n for u in pos_iter\\n for v in range(4)\\n ]\\n else: # Should be impossible?\\n uv_pos = []\\n\\n for offset in range(64, overlay_len, 128):\\n # Each position on top or bottom, inset 64 from each end.\\n # First check if the tiles themselves are present, then check if any of the\\n # subtiles are present - blackening on the way if required.\\n pos = min_pos + offset * forward\\n tile_cat = []\\n try:\\n top_tile = tiling.TILES[\\n (pos + 128 * up).as_tuple(),\\n (-up).as_tuple()\\n ]\\n except KeyError:\\n pass\\n else:\\n tile_cat.append((tiledefs_up, top_tile))\\n try:\\n btm_tile = tiling.TILES[\\n (pos - 128 * up).as_tuple(),\\n up.as_tuple()\\n ]\\n except KeyError:\\n pass\\n else:\\n tile_cat.append((tiledefs_dn, btm_tile))\\n for tiledefs, tile in tile_cat:\\n found = False\\n for u, v in uv_pos:\\n subtile = tile[u, v]\\n if subtile.is_tile:\\n found = True\\n if blacken:\\n tile[u, v] = subtile.as_black\\n if found:\\n tiledefs.append(tile)\\n\\n if not border or (not tiledefs_up and not tiledefs_dn):\\n return\\n\\n overlay_thickness = options.get(int, 'fizz_border_thickness')\\n overlay_repeat = options.get(int, 'fizz_border_repeat')\\n flip_uv = options.get(bool, 'fizz_border_vertical')\\n\\n if flip_uv:\\n u_rep = 1.0\\n v_rep = overlay_len / overlay_repeat\\n else:\\n u_rep = overlay_len / overlay_repeat\\n v_rep = 1.0\\n\\n cent_pos = (seg_min + seg_max) / 2\\n\\n if tiledefs_up:\\n over = srctools.vmf.make_overlay(\\n vmf,\\n normal=-up,\\n origin=cent_pos + 64 * up,\\n uax=forward * overlay_len,\\n vax=Vec.cross(up, forward) * overlay_thickness,\\n material=texturing.SPECIAL.get(cent_pos + 64 * up, 'fizz_border'),\\n surfaces=[],\\n u_repeat=u_rep,\\n v_repeat=v_rep,\\n swap=flip_uv,\\n )\\n for tile in tiledefs_up:\\n tile.bind_overlay(over)\\n\\n if tiledefs_dn:\\n over = srctools.vmf.make_overlay(\\n vmf,\\n normal=up,\\n origin=cent_pos - 64 * up,\\n uax=forward * overlay_len,\\n vax=Vec.cross(-up, forward) * overlay_thickness,\\n material=texturing.SPECIAL.get(cent_pos - 64 * up, 'fizz_border'),\\n surfaces=[],\\n u_repeat=u_rep,\\n v_repeat=v_rep,\\n swap=flip_uv,\\n )\\n for tile in tiledefs_dn:\\n tile.bind_overlay(over)\",\n \"def clip_boxes(boxes, im_shape):\\n boxes[:, 0::4] = np.maximum(np.minimum(boxes[:, 0::4], im_shape[1] - 1), 0) # x1 >= 0\\n boxes[:, 1::4] = np.maximum(np.minimum(boxes[:, 1::4], im_shape[0] - 1), 0) # y1 >= 0\\n boxes[:, 2::4] = np.maximum(np.minimum(boxes[:, 2::4], im_shape[1] - 1), 0) # x2 < im_shape[1]\\n boxes[:, 3::4] = np.maximum(np.minimum(boxes[:, 3::4], im_shape[0] - 1), 0) # y2 < im_shape[0]\\n return boxes\",\n \"def pad(self):\\n if self._mg_problem.boundaries[0] == 'periodic':\\n # left side\\n self.left[:] = self.mid[-self.borders[0]:]\\n # right side\\n self.right[:] = self.mid[:self.borders[1]]\\n elif self._mg_problem.boundaries[0] == 'dirichlet':\\n\\n # left from border\\n l_f_b = self.space_tensor[0:self.borders[0]]\\n # right_from_border\\n r_f_b = self.space_tensor[-self.borders[1]:]\\n # left side\\n self.left[:] = self.fl(l_f_b)\\n # right side\\n self.right[:] = self.fr(r_f_b)\",\n \"def pad_bounds(\\n bounds: tuple[int, int, int, int],\\n padding: int | tuple[int, int] | tuple[int, int, int, int],\\n) -> tuple[int, int, int, int]:\\n if np.size(bounds) % 2 != 0:\\n msg = \\\"Bounds must have an even number of elements.\\\"\\n raise ValueError(msg)\\n ndims = np.size(bounds) // 2\\n\\n if np.size(padding) not in [1, 2, np.size(bounds)]:\\n msg = \\\"Invalid number of padding elements.\\\"\\n raise ValueError(msg)\\n\\n if np.size(padding) == 1 or np.size(padding) == np.size(bounds):\\n pass\\n elif np.size(padding) == ndims: # pragma: no cover\\n padding = np.tile(padding, 2)\\n\\n signs = np.repeat([-1, 1], ndims)\\n return np.add(bounds, padding * signs)\",\n \"def pad(img, pad_size=32):\\n\\n if pad_size == 0:\\n return img\\n\\n height, width = img.shape[:2]\\n\\n if height % pad_size == 0:\\n y_min_pad = 0\\n y_max_pad = 0\\n else:\\n y_pad = pad_size - height % pad_size\\n y_min_pad = int(y_pad / 2)\\n y_max_pad = y_pad - y_min_pad\\n\\n if width % pad_size == 0:\\n x_min_pad = 0\\n x_max_pad = 0\\n else:\\n x_pad = pad_size - width % pad_size\\n x_min_pad = int(x_pad / 2)\\n x_max_pad = x_pad - x_min_pad\\n\\n img = cv2.copyMakeBorder(img, y_min_pad, y_max_pad, x_min_pad, x_max_pad, cv2.BORDER_REFLECT_101)\\n\\n return img, (x_min_pad, y_min_pad, x_max_pad, y_max_pad)\",\n \"def view_limits(self, dmin, dmax):\\n base = self._select_base(dmin, dmax)\\n if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':\\n vmin = base.le(dmin)\\n vmax = base.ge(dmax)\\n if vmin == vmax:\\n vmin -= 1\\n vmax += 1\\n else:\\n vmin = dmin\\n vmax = dmax\\n\\n return mtransforms.nonsingular(vmin, vmax)\",\n \"def bounds(self) -> Tensor:\\n return torch.cat([self.mins, self.mins + self.ranges], dim=-2)\",\n \"def __check_bbox_area(min_y, min_x, max_y, max_x, delta=0.05):\\n height = max_y - min_y\\n width = max_x - min_x\\n\\n def __adjust_bbox_boundaries(min_coord, max_coord):\\n # Make sure max is never 0 and min is never 1.\\n max_coord = tf.maximum(max_coord, 0.0 + delta)\\n min_coord = tf.minimum(min_coord, 1.0 - delta)\\n return min_coord, max_coord\\n\\n min_y, max_y = tf.cond(tf.equal(height, 0.0),\\n lambda: __adjust_bbox_boundaries(min_y, max_y),\\n lambda: (min_y, max_y))\\n min_x, max_x = tf.cond(tf.equal(width, 0.0),\\n lambda: __adjust_bbox_boundaries(min_x, max_x),\\n lambda: (min_x, max_x))\\n return min_y, min_x, max_y, max_x\",\n \"def _mask_grid(self):\\n xg, yg = self._build_grid()\\n mask = self._build_mask(xg, yg)\\n mask = mask.reshape(xg.shape)\\n\\n return xg, yg, mask\",\n \"def handle_bad_corners(left, right, top, bottom, im_w, im_h):\\n left = np.maximum(0, left)\\n top = np.maximum(0, top)\\n right = np.minimum(im_w, right)\\n bottom = np.minimum(im_h, bottom) \\n return (left, right, top, bottom)\",\n \"def getbbox(self):\\r\\n img_ = (self._instance > 0)\\r\\n rows = np.any(img_, axis=1)\\r\\n cols = np.any(img_, axis=0)\\r\\n rmin, rmax = np.argmax(rows), img_.shape[0] - 1 - np.argmax(np.flipud(rows))\\r\\n cmin, cmax = np.argmax(cols), img_.shape[1] - 1 - np.argmax(np.flipud(cols))\\r\\n return (rmin, rmax, cmin, cmax)\",\n \"def bounding_box(self, grid=1):\\n supp = self.support\\n grid = [np.linspace(s[0], s[1], grid+1) for s in supp]\\n X = self.grid_eval(grid)\\n X.shape = (-1, self.dim)\\n return tuple((X[:, d].min(), X[:, d].max()) for d in range(self.dim))\",\n \"def make_grid_bbox(tensor, box, nrow=8, padding=2,\\n normalize=False, range=None, \\n scale_each=False, pad_value=0, draw_line=False):\\n\\n # make the mini-batch of images into a grid\\n # nmaps = tensor.size(0)\\n nmaps = len(box)\\n xmaps = min(nrow, nmaps)\\n ymaps = int(math.ceil(float(nmaps) / xmaps))\\n # height, width = int(tensor.size(2) + padding), int(tensor.size(3) + padding)\\n height, width = int(256 + padding), int(256 + padding)\\n tensor = torch.ones(())\\n grid = tensor.new_full((3, height * ymaps + padding, width * xmaps + padding), pad_value)\\n # # add the white image into the grid\\n # block = tensor.new_full((3, height - padding, width - padding), 9.0/13)\\n k = 0\\n for y in irange(ymaps):\\n for x in irange(xmaps):\\n if k >= nmaps:\\n break\\n # add the white image into the grid\\n block = tensor.new_full((3, height - padding, width - padding), 9.0/13)\\n # print(box[0].size())\\n # print(box[1].size())\\n # assert False\\n # num_curr_box = box[0][k].size(0)\\n num_curr_box = box[k][0].size(0)\\n for z in irange(num_curr_box):\\n # label = box[1][k][z].item()\\n try:\\n label = box[k][1][z].item()\\n except:\\n print(box)\\n print(k)\\n assert False\\n \\n if label != -1:\\n block = draw_box(block, box[k][0][z], label, draw_line)\\n # print(k, z)\\n else:\\n break\\n # copy to the grid\\n grid.narrow(1, y * height + padding, height - padding)\\\\\\n .narrow(2, x * width + padding, width - padding)\\\\\\n .copy_(block)\\n k = k + 1\\n return grid\",\n \"def map_grid_loc_to_pixel((grid, x, y), panel_dimensions = bm_panel_dimensions, xc = 17.25, yc = 630, run = 17.25):\\n x_offset = 0\\n for panel_index, panel_dim in panel_dimensions.iteritems():\\n if panel_index < grid:\\n width, height = panel_dim\\n x_offset += width*xc\\n xp, yp = xc + x*run + x_offset, yc - y*run\\n return (xp, yp)\",\n \"def GetNiceExtentsBySpacing(minval,maxval,spacing,tolerance):\\n pass\",\n \"def limits(self):\\n\\n\\t\\treturn [\\n\\t\\t\\tmin(self.xvalues),\\n\\t\\t\\tmax(self.xvalues),\\n\\t\\t\\tmin(self.yvalues),\\n\\t\\t\\tmax(self.yvalues)]\",\n \"def bounds(lines):\\n min_x = bench_util.Max\\n min_y = bench_util.Max\\n max_x = bench_util.Min\\n max_y = bench_util.Min\\n \\n for line in lines.itervalues():\\n for x, y in line:\\n min_x = min(min_x, x)\\n min_y = min(min_y, y)\\n max_x = max(max_x, x)\\n max_y = max(max_y, y)\\n \\n return ((min_x, min_y), (max_x, max_y))\",\n \"def get_roi_limits(self):\\n wdet,hdet=self.get_detector_size()\\n hlims,vlims=self._get_roi_limits()\\n hbin,vbin=self._truncate_roi_binning(wdet,hdet)\\n min_roi=(0,0,hlims[0],vlims[0],1,1)\\n max_roi=(wdet-hlims[0],wdet-vlims[0],wdet,hdet,hbin,vbin)\\n return (min_roi,max_roi)\",\n \"def fudgePlotLimits(x,y,marfrac=0.1):\\n xl = np.min(x); yl = np.min(y)\\n xh = np.max(x); yh = np.max(y)\\n dx = xh-xl; dy = yh-yl\\n plt.xlim(xl-dx*marfrac,xh+dx*marfrac)\\n plt.ylim(yl-dy*marfrac,yh+dy*marfrac)\",\n \"def pad(self, nxp, nyp):\\n assert (nxp > self.nx)\\n assert (nyp > self.ny)\\n assert (np.mod(nxp - self.nx, 2) == 0)\\n assert (np.mod(nyp - self.ny, 2) == 0)\\n\\n ret = rmap(nx=nxp, dx=self.dx, ny=nyp, dy=self.dy)\\n ret.map[(nyp - self.ny) / 2:(nyp + self.ny) / 2, (nxp - self.nx) / 2:(\\n nxp + self.nx) / 2] = self.map\\n return ret\",\n \"def extend_to_grid(self, resolution):\\n return Bounds(\\n min_value = math.floor(self.min/resolution)*resolution,\\n max_value = math.ceil(self.max/resolution)*resolution\\n )\",\n \"def center_crop2fixed_pad(im, masks, mask, boxes, classes, target_width, target_height, min_size=2):\\n\\n h, w, c = im.shape\\n ir, tr = float(h) / w, float(target_height) / target_width\\n if ir > tr:\\n borderw, borderh = int((h / tr - w) / 2), 0\\n else:\\n borderh, borderw = int((w * tr - h) / 2), 0\\n\\n im = cv2.copyMakeBorder(im, borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[103, 116, 123])\\n mask = cv2.copyMakeBorder(mask, borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[0])\\n n = masks.shape[0]\\n if n > 1:\\n masks = [cv2.copyMakeBorder(m, borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[0]) for m in masks]\\n masks = np.asarray(masks)\\n elif n == 1:\\n masks = cv2.copyMakeBorder(masks.reshape([h, w]), borderh, borderh, borderw, borderw, cv2.BORDER_CONSTANT, value=[0])\\n masks = masks[np.newaxis, :, :]\\n\\n boxes[:, 0] = boxes[:, 0] + borderw\\n boxes[:, 1] = boxes[:, 1] + borderh\\n boxes[:, 2] = boxes[:, 2] + borderw\\n boxes[:, 3] = boxes[:, 3] + borderh\\n\\n scale = float(target_height) / im.shape[0]\\n im = cv2.resize(im, (target_width, target_height))\\n mask = cv2.resize(mask, (target_width, target_height), interpolation=cv2.INTER_NEAREST)\\n\\n flip = np.random.uniform() > 0.5\\n if flip:\\n im = cv2.flip(im, 1)\\n mask = cv2.flip(mask, 1)\\n\\n if masks.size > 0:\\n masks = np.transpose(masks, (1, 2, 0)) # to (h, w, n)\\n masks = cv2.resize(masks, (target_width, target_height), interpolation=cv2.INTER_NEAREST)\\n if flip:\\n masks = cv2.flip(masks, 1)\\n try:\\n if masks.ndim > 2:\\n masks = np.transpose(masks, (2, 0, 1)) # to (n, h, w)\\n else:\\n masks = masks.reshape((1, target_height, target_width))\\n except ValueError:\\n print (masks.ndim, masks.shape)\\n raise\\n else:\\n masks = np.zeros((0, target_height, target_width), masks.dtype)\\n\\n # bboxes\\n boxes = _offset_boxes(boxes, [target_height, target_width], scale, [0, 0], flip)\\n boxes, classes, masks = _filter_invalid_boxes(boxes, classes, masks, min_size=min_size)\\n return im, masks, mask, boxes, classes\",\n \"def decision_boundary(self, w, min_x, max_x):\\n if np.size(w) < 3:\\n w = np.append(w, np.zeros(1))\\n x = np.array([min_x, max_x])\\n y = -1 * ((w[0] * x) - w[2]) / w[1]\\n return x, y\",\n \"def compute_bounds(self, space):\\n bounds = np.zeros((len(space), 2))\\n\\n for idx, param in enumerate(space):\\n\\n if TYPE[param[\\\"type\\\"]] is TYPE.FLOAT or \\\\\\n TYPE[param[\\\"type\\\"]] is TYPE.INTEGER:\\n bounds[idx] = (param[\\\"min\\\"], param[\\\"max\\\"])\\n\\n elif TYPE[param[\\\"type\\\"]] is TYPE.DISCRETE or \\\\\\n TYPE[param[\\\"type\\\"]] is TYPE.DISCRETE:\\n bounds[idx] = (0, len(param['values']))\\n\\n return bounds\",\n \"def get_bounding_box(img):\\n rows = np.any(img, axis=1)\\n cols = np.any(img, axis=0)\\n rmin, rmax = np.where(rows)[0][[0, -1]]\\n cmin, cmax = np.where(cols)[0][[0, -1]]\\n # due to python indexing, need to add 1 to max\\n # else accessing will be 1px in the box, not out\\n rmax += 1\\n cmax += 1\\n return [rmin, rmax, cmin, cmax]\",\n \"def test_calc_bbox():\\n with xr.open_rasterio(TEST_RASTER_PATH) as src:\\n xr_res = ds.utils.calc_res(src)\\n xr_bounds = ds.utils.calc_bbox(src.x.values, src.y.values, xr_res)\\n with rasterio.open(TEST_RASTER_PATH) as src:\\n rio_bounds = src.bounds\\n assert np.allclose(xr_bounds, rio_bounds, atol=1.0) # allow for absolute diff of 1.0\",\n \"def _xywh2cs(self, x, y, w, h, padding=1.25):\\n aspect_ratio = self.ann_info['image_size'][0] / self.ann_info[\\n 'image_size'][1]\\n center = np.array([x + w * 0.5, y + h * 0.5], dtype=np.float32)\\n\\n if (not self.test_mode) and np.random.rand() < 0.3:\\n center += 0.4 * (np.random.rand(2) - 0.5) * [w, h]\\n\\n if w > aspect_ratio * h:\\n h = w * 1.0 / aspect_ratio\\n elif w < aspect_ratio * h:\\n w = h * aspect_ratio\\n\\n # pixel std is 200.0\\n scale = np.array([w / 200.0, h / 200.0], dtype=np.float32)\\n # padding to include proper amount of context\\n scale = scale * padding\\n\\n return center, scale\",\n \"def crop(self, xdiv, ydiv, img, bBoxes=None):\\n xstride = img.shape[1] // xdiv\\n ystride = img.shape[0] // ydiv\\n\\n widthLimits = np.zeros((xdiv+1,), dtype=np.int32)\\n heightLimits = np.zeros((ydiv+1), dtype=np.int32)\\n croppedImages = [[] for _ in range(xdiv*ydiv)]\\n croppedBoxes = [[] for _ in range(xdiv*ydiv)]\\n index = 0\\n for x in range(0, img.shape[1]+1, xstride):\\n widthLimits[index] = x\\n index += 1\\n index = 0\\n for y in range(0, img.shape[0]+1, ystride):\\n heightLimits[index] = y\\n index+=1\\n index = 0\\n for i in range(len(widthLimits)-1):\\n for j in range(len(heightLimits)-1):\\n croppedImages[index] = img[heightLimits[j]:heightLimits[j+1], widthLimits[i]:widthLimits[i+1]]\\n index += 1\\n if bBoxes:\\n for box in bBoxes:\\n index = 0\\n for i in range(len(widthLimits)-1):\\n for j in range(len(heightLimits)-1):\\n if box[0] >= widthLimits[i] and box[2] < widthLimits[i+1] \\\\\\n and box[1] >= heightLimits[j] and box[3] < heightLimits[j+1]:\\n box[0] -= widthLimits[i]\\n box[2] -= widthLimits[i]\\n box[1] -= heightLimits[j]\\n box[3] -= heightLimits[j]\\n croppedBoxes[index].append(box)\\n index += 1\\n return croppedImages, croppedBoxes\",\n \"def clip_range(x, xlim):\\n return min([max([x, xlim[0]]), xlim[1]])\",\n \"def mgrid_box(X,axis=0,linj=200j,marg_rate=0.1):\\n\\n if len(X.shape)!=2:\\n raise Exception('Only 2-D array is acceptable!')\\n\\n o_axis=1-axis\\n\\n X_max=np.max(X,axis=axis)\\n X_min=np.min(X,axis=axis)\\n lenX=X_max-X_min\\n Marg_X=marg_rate*lenX\\n X_edgmin, X_edgmax = X_min - Marg_X, X_max + Marg_X\\n\\n num=np.size(X,axis=o_axis)\\n\\n slices=[slice(X_edgmin[i],X_edgmax[i],linj) for i in np.arange(num)]\\n zz=np.mgrid[slices] if axis==0 else np.array([i.T for i in np.mgrid[slices]])\\n\\n return zz\",\n \"def boundary(active, objects):\\n limit = SIZE[1]\\n for obj in objects:\\n if active.pos_x == obj.pos_x:\\n limit = min(limit, obj.pos_y)\\n active.pos_y = limit-active.height\\n active.col_d = True\",\n \"def check_extent(self):\\n if self.lower_left.x > self.upper_right.x:\\n dlx = self.lower_left.x\\n self.lower_left.x = self.upper_right.x\\n self.upper_right.y = dlx\\n\\n if self.lower_left.y > self.upper_right.y:\\n dly = self.lower_left.y\\n self.lower_left.y = self.upper_right.y\\n self.upper_right.y = dly\",\n \"def _align_toplevel_grid(self):\\n\\n # align origin with nearest multple of 128\\n self.mins[0] -= self.mins[0] % 128\\n self.mins[1] -= self.mins[1] % 128\\n\\n width = self.maxs[0] - self.mins[0]\\n height = self.maxs[1] - self.mins[1]\\n greatest_dim = max(width, height)\\n nearest_pow_two = int(2 ** np.ceil(np.log2(greatest_dim)))\\n width_adjustment = (nearest_pow_two - width)\\n height_adjustment = (nearest_pow_two - height)\\n\\n self.maxs[0] += width_adjustment\\n self.maxs[1] += height_adjustment\",\n \"def printLimits():\\n print(\\\"MinX:\\\",Drawable._minX)\\n print(\\\"MaxX:\\\",Drawable._maxX)\\n print(\\\"MinY:\\\",Drawable._minY)\\n print(\\\"MaxY:\\\",Drawable._maxY)\",\n \"def rasterize(con, cellSize=50, xMin=None, yMin=None, xMax=None, yMax=None):\\n\\n if xMin is None or yMin is None or xMax is None or yMax is None:\\n _xMin, _yMin, _xMax, _yMax = con.bounds\\n if xMin is None:\\n xMin = _xMin\\n if yMin is None:\\n yMin = _yMin\\n if xMax is None:\\n xMax = _xMax\\n if yMax is None:\\n yMax = _yMax\\n\\n hitXMax = False\\n hitYMin = False\\n xSlice = 0\\n ySlice = 0\\n halfCellSize = cellSize / 2.0\\n bitmap = []\\n\\n while not hitYMin:\\n bitmap.append([])\\n yScan = -(ySlice * cellSize + halfCellSize) + yMax\\n if yScan < yMin:\\n hitYMin = True\\n while not hitXMax:\\n xScan = (xSlice * cellSize + halfCellSize) + xMin\\n if xScan > xMax:\\n hitXMax = True\\n test = con.pointInside((xScan, yScan))\\n if test:\\n bitmap[-1].append(True)\\n else:\\n bitmap[-1].append(False)\\n xSlice = xSlice + 1\\n hitXMax = False\\n xSlice = 0\\n ySlice = ySlice + 1\\n\\n return bitmap\",\n \"def board_bounds(live_coords):\\n if not live_coords:\\n return False\\n min_x = live_coords[0][0]\\n max_x = live_coords[0][0]\\n min_y = live_coords[0][1]\\n max_y = live_coords[0][1]\\n for i, j in live_coords:\\n if min_x > i:\\n min_x = i\\n if i > max_x:\\n max_x = i\\n if min_y > j:\\n min_y = j\\n if j > max_y:\\n max_y = j\\n return [[min_x, min_y], [max_x, max_y]]\",\n \"def exclude_points(plot_data: PlotData,\\n *data_keys: str,\\n limits: dict[str, tuple[float, float]] | None,\\n padding: float = 0.1) -> None:\\n\\n if limits is None:\\n return\\n\\n combined_mask = None\\n for data_key in data_keys:\\n\\n if data_key in limits:\\n data_limits = limits[data_key]\\n\\n #Add padding to both sides of the limits\\n data_limits = data_limits[0] - padding * (1 + abs(data_limits[0])), data_limits[1] + padding * (\\n 1 + abs(data_limits[1]))\\n\\n mask = plot_data.get_mask(\\n lambda x, data_limits=tuple(data_limits): np.logical_and(x > data_limits[0], x < data_limits[1]),\\n data_key=data_key)\\n\\n if combined_mask is None:\\n combined_mask = mask\\n else:\\n combined_mask = [x & y for x, y in zip(mask, combined_mask)]\\n\\n if combined_mask is not None:\\n plot_data.mask_data(combined_mask)\",\n \"def get_bounds(self):\\n return ([self.t_min] * self.dim,[self.t_max] * self.dim)\",\n \"def roi_y_offset():\\n def r(x):\\n return x & 0xFFF\\n\\n def w(x):\\n return min(x, 0xFFF)\\n return r, w\",\n \"def bbox(img):\\n a = np.where(img != 0)\\n bbox = np.min(a[0]), np.max(a[0]), np.min(a[1]), np.max(a[1])\\n return bbox\",\n \"def pad_image(img_path, width, height, pad_type, value=(0, 0, 0)):\\n\\n\\n\\n def get_left_right(margin_width):\\n if margin_width % 2 == 0:\\n left = margin_width // 2\\n right = margin_width // 2\\n else:\\n left = margin_width // 2\\n right = margin_width // 2 + 1\\n return left, right\\n\\n def get_top_bottom(margin_height):\\n if margin_height % 2 == 0:\\n top = margin_height // 2\\n bottom = margin_height // 2\\n else:\\n top = margin_height // 2\\n bottom = margin_height // 2 + 1\\n return top, bottom\\n \\n img = cv2.imread(img_path)\\n h, w, _ = img.shape\\n img_ratio=h/w\\n target_ratio=height/width\\n margin_width = width - w\\n margin_height = height - h\\n # if h >= height and w >= width:\\n margin_width = abs(margin_width)\\n margin_height = abs(margin_height)\\n if img_ratio<target_ratio:\\n resize_image(img_path, width=width, type='scale')\\n img = cv2.imread(img_path)\\n _h, _w, _ = img.shape\\n # print(\\\"new h:\\\",_h)\\n # print(\\\"new w:\\\",_w)\\n # print(\\\"t w:\\\",width)\\n # print(\\\"t h:\\\",height)\\n margin_height = height - _h\\n top, bottom = get_top_bottom(margin_height)\\n # print(top,bottom)\\n img = cv2.copyMakeBorder(img, top, bottom, 0, 0, pad_type, value=value)\\n\\n else:\\n resize_image(img_path, height=height, type='scale')\\n img = cv2.imread(img_path)\\n _h, _w, _ = img.shape\\n margin_width = width - _w\\n left, right = get_left_right(margin_width)\\n img = cv2.copyMakeBorder(img, 0, 0, left, right, pad_type, value=value)\\n\\n # elif h <= height and w <= width:\\n # img = cv2.resize(img, (width, height))\\n # elif h >= height:\\n # img = cv2.resize(img, (w, height))\\n # h, w, _ = img.shape\\n # left, right = get_left_right(margin_width)\\n # img = cv2.copyMakeBorder(img, 0, 0, left, right, pad_type, value=value)\\n # elif w >= width:\\n # img = cv2.resize(img, (width, h))\\n # h, w, _ = img.shape\\n # top, bottom = get_top_bottom(margin_height)\\n # img = cv2.copyMakeBorder(img, top, bottom, 0, 0, pad_type, value=value)\\n cv2.imwrite(img_path, img)\",\n \"def fix_mtcnn_bb(max_y: int, max_x: int, bounding_box: List[int]) -> List[int]:\\n x1, y1, dx, dy = bounding_box[:4]\\n x2 = x1 + dx\\n y2 = y1 + dy\\n x1 = max(min(x1, max_x), 0)\\n x2 = max(min(x2, max_x), 0)\\n y1 = max(min(y1, max_y), 0)\\n y2 = max(min(y2, max_y), 0)\\n return [x1, y1, x2, y2]\",\n \"def square_clip(points, bounds):\\n\\n # Extact x y coordinates from cloud\\n xy = points[[\\\"x\\\", \\\"y\\\"]]\\n\\n # Create masks for each axis\\n x_in = (xy[\\\"x\\\"] >= bounds[0]) & (xy[\\\"x\\\"] <= bounds[2])\\n y_in = (xy[\\\"y\\\"] >= bounds[1]) & (xy[\\\"y\\\"] <= bounds[3])\\n stack = np.stack((x_in, y_in), axis=1)\\n in_clip = np.all(stack, axis=1)\\n\\n return in_clip\",\n \"def render_limits(\\n origin: tuple[float, float],\\n size_in_inches: tuple[float, float],\\n scale: float,\\n) -> tuple[float, float, float, float]:\\n min_x, min_y = origin\\n max_x = min_x + size_in_inches[0] * scale\\n max_y = min_y + size_in_inches[1] * scale\\n return min_x, min_y, max_x, max_y\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6500194","0.6199433","0.6105291","0.60281","0.59161913","0.5894251","0.585068","0.58396924","0.5810349","0.5791982","0.57880354","0.5763434","0.57571024","0.57165116","0.57111406","0.5668063","0.56606424","0.565698","0.56563175","0.5641682","0.5641682","0.5638964","0.56364","0.56123","0.55897206","0.55895275","0.5585547","0.55576754","0.55565083","0.5540652","0.5538314","0.55299735","0.5501345","0.54981315","0.5496357","0.5494643","0.54855037","0.5480638","0.54775983","0.5473485","0.5450655","0.54462963","0.54458404","0.5435265","0.54277134","0.5421867","0.5419986","0.54100454","0.53996915","0.5380869","0.53791785","0.5378378","0.5370269","0.5349513","0.5346833","0.53359467","0.5329483","0.5327626","0.53273755","0.53272414","0.5319824","0.53167164","0.5314584","0.530918","0.5309115","0.5300062","0.52999276","0.52893806","0.52870494","0.5280889","0.527967","0.5278977","0.52783126","0.5277838","0.52679056","0.52640015","0.52589744","0.5256994","0.52561224","0.5255538","0.5253938","0.5248723","0.52470756","0.52440745","0.5242262","0.5232364","0.5226393","0.52263784","0.5221833","0.5221342","0.5214343","0.52119374","0.5210906","0.5203702","0.52037007","0.51971024","0.5193768","0.519165","0.5182408","0.5182092"],"string":"[\n \"0.6500194\",\n \"0.6199433\",\n \"0.6105291\",\n \"0.60281\",\n \"0.59161913\",\n \"0.5894251\",\n \"0.585068\",\n \"0.58396924\",\n \"0.5810349\",\n \"0.5791982\",\n \"0.57880354\",\n \"0.5763434\",\n \"0.57571024\",\n \"0.57165116\",\n \"0.57111406\",\n \"0.5668063\",\n \"0.56606424\",\n \"0.565698\",\n \"0.56563175\",\n \"0.5641682\",\n \"0.5641682\",\n \"0.5638964\",\n \"0.56364\",\n \"0.56123\",\n \"0.55897206\",\n \"0.55895275\",\n \"0.5585547\",\n \"0.55576754\",\n \"0.55565083\",\n \"0.5540652\",\n \"0.5538314\",\n \"0.55299735\",\n \"0.5501345\",\n \"0.54981315\",\n \"0.5496357\",\n \"0.5494643\",\n \"0.54855037\",\n \"0.5480638\",\n \"0.54775983\",\n \"0.5473485\",\n \"0.5450655\",\n \"0.54462963\",\n \"0.54458404\",\n \"0.5435265\",\n \"0.54277134\",\n \"0.5421867\",\n \"0.5419986\",\n \"0.54100454\",\n \"0.53996915\",\n \"0.5380869\",\n \"0.53791785\",\n \"0.5378378\",\n \"0.5370269\",\n \"0.5349513\",\n \"0.5346833\",\n \"0.53359467\",\n \"0.5329483\",\n \"0.5327626\",\n \"0.53273755\",\n \"0.53272414\",\n \"0.5319824\",\n \"0.53167164\",\n \"0.5314584\",\n \"0.530918\",\n \"0.5309115\",\n \"0.5300062\",\n \"0.52999276\",\n \"0.52893806\",\n \"0.52870494\",\n \"0.5280889\",\n \"0.527967\",\n \"0.5278977\",\n \"0.52783126\",\n \"0.5277838\",\n \"0.52679056\",\n \"0.52640015\",\n \"0.52589744\",\n \"0.5256994\",\n \"0.52561224\",\n \"0.5255538\",\n \"0.5253938\",\n \"0.5248723\",\n \"0.52470756\",\n \"0.52440745\",\n \"0.5242262\",\n \"0.5232364\",\n \"0.5226393\",\n \"0.52263784\",\n \"0.5221833\",\n \"0.5221342\",\n \"0.5214343\",\n \"0.52119374\",\n \"0.5210906\",\n \"0.5203702\",\n \"0.52037007\",\n \"0.51971024\",\n \"0.5193768\",\n \"0.519165\",\n \"0.5182408\",\n \"0.5182092\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7511422"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":4796,"cells":{"query":{"kind":"string","value":"Select plane from dataset. Intended for use with e.g. plt.pcolor."},"document":{"kind":"string","value":"def get_plane(dset, xaxis, yaxis, slices, **kw):\n\n # Build quad meshes from sorted grids\n xgrid = dset.dims[xaxis][0][indices[xaxis]]\n ygrid = dset.dims[yaxis][0][indices[yaxis]]\n xorder = np.argsort(xgrid)\n yorder = np.argsort(ygrid)\n xmesh, ymesh = quad_mesh(xgrid[xorder], ygrid[yorder], **kw)\n\n # Select and arrange data\n data = dset[slices]\n if xi < yi:\n data = data.T\n data = data[yorder]\n data = data[:, xorder]\n\n return xmesh, ymesh, data"},"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 GetPlane(plane):\r\n pass","def plane(self):\n return plane(self.N, self.o)","def get_plane(self, scalar, plane, pval):\n\n if plane == 'yz' or plane == 'zy':\n # z along rows, y along columns\n return scalar[:, pval, :]\n elif plane == 'xz' or plane == 'zx':\n # x along columns, z along rows\n return scalar[:, :, pval]\n elif plane == 'xy' or plane == 'yx':\n # x along rows, y along columns\n return scalar[pval, :, :]","def plane(self):\r\n from lsst.analysis import utils\r\n return utils.fitplane(self.points, self.z)","def get_plane(self, quantity, plane, pval):\n\n self.log.info('Retrieving plane for %s', quantity)\n scalar = self.get_scalar_quantity(quantity)\n if plane == 'yz' or plane == 'zy':\n # z along rows, y along columns\n return scalar[:, pval, :]\n elif plane == 'xz' or plane == 'zx':\n # x along columns, z along rows\n return scalar[:, :, pval]\n elif plane == 'xy' or plane == 'yx':\n # x along rows, y along columns\n return scalar[pval, :, :]","def mesh_slicer(self, plane, opt):\n\n # get plane coefficients\n a = plane[0]\n b = plane[1]\n c = plane[2]\n\n # create vtk plane object\n VTKplane = vtk.vtkPlane()\n # for now we choose the center point as the point of rotation\n VTKplane.SetOrigin(self.mesh_poly.GetCenter())\n VTKplane.SetNormal(a, b, c)\n VTKplane.SetOrigin(self.epi_apex_node)\n\n # create cutter\n cutEdges = vtk.vtkCutter()\n cutEdges.SetInputData(self.mesh_poly)\n cutEdges.SetCutFunction(VTKplane)\n cutEdges.GenerateCutScalarsOn()\n cutEdges.SetValue(0, 0.5)\n\n # create renderer\n ren = vtk.vtkRenderer()\n ren.SetBackground(0.0, 0.0, 0.0)\n\n # create mapper\n mapper = vtk.vtkPolyDataMapper()\n mapper.SetInputConnection(cutEdges.GetOutputPort())\n\n # create actor\n actor = vtk.vtkActor()\n actor.SetMapper(mapper)\n actor.GetProperty().SetColor(0.0, 0.0, 1.0)\n actor.GetProperty().SetLineWidth(2)\n\n # display apex point\n apexA = include_points(list(self.epi_apex_node), 1, 15, (0, 0, 1))\n\n if (opt == 'mesh'):\n meshMapper = vtk.vtkPolyDataMapper()\n meshMapper.SetInputData(self.mesh_poly)\n meshActor = vtk.vtkActor()\n meshActor.SetMapper(meshMapper)\n meshActor.GetProperty().SetColor(1.0, 0.0, 0.0)\n\n # generate renderer\n ren.AddActor(self.meshActor)\n ren.AddActor(actor)\n ren.AddActor(apexA)\n\n else:\n ren.AddActor(actor)\n ren.AddActor(apexA)\n\n # display\n vtk_show(ren)","def __setPlaneName(self, data):\n item = self._item()\n if item is not None:\n for name, normal in self._PLANES.items():\n if data == name and normal is not None:\n item.setNormal(normal)","def load_plane(image):\n pixels = image.getPrimaryPixels()\n return pixels.getPlane(0, 0, 0)","def SetPlaneMode(self, *args):\n return _ShapeUpgrade.ShapeUpgrade_ShapeConvertToBezier_SetPlaneMode(self, *args)","def setPlanePickable(self, obj, dictName):\n obj.sim.reparentTo(self.selectable)\n obj.sim.find('**/pPlane1').node().setIntoCollideMask(BitMask32.bit(1))\n obj.sim.find('**/pPlane1').node().setTag(dictName, obj.id)","def _prepare_plane(self):\n verticies = [\n # main plane - note that the mainplane is scaled so the mat_plane\n # matrix will it transform to the correct coordinates\n -self.i_border[0]/self._scaling[0], self.i_border[1]/self._scaling[1],\n -self.i_border[0]/self._scaling[0], -(self.o_wh[1]-self.i_border[1])/self._scaling[1],\n (self.o_wh[0]-self.i_border[0])/self._scaling[0], -(self.o_wh[1]-self.i_border[1])/self._scaling[1],\n (self.o_wh[0]-self.i_border[0])/self._scaling[0], -(self.o_wh[1]-self.i_border[1])/self._scaling[1],\n (self.o_wh[0]-self.i_border[0])/self._scaling[0], self.i_border[1]/self._scaling[1],\n -self.i_border[0]/self._scaling[0], self.i_border[1]/self._scaling[1],\n\n # coord plane\n 0, 0,\n 0, -self.o_wh[1],\n self.o_wh[0], -self.o_wh[1],\n self.o_wh[0], -self.o_wh[1],\n self.o_wh[0], 0,\n 0, 0,\n\n # axes\n 0, -self.o_wh[1], self.o_wh[0], -self.o_wh[1], #x\n 0, 0, 0, -self.o_wh[1], #y\n ]\n\n colors = [\n 1.0, 1.0, 1.0, 1.0, # outer box XXX Remove outer box...\n 1.0, 1.0, 1.0, 1.0,\n 1.0, 1.0, 1.0, 1.0,\n 1.0, 1.0, 1.0, 1.0,\n 1.0, 1.0, 1.0, 1.0,\n 1.0, 1.0, 1.0, 1.0,\n .9, .9, .9, 9.0, # plot box\n .9, .9, .9, 9.0,\n .9, .9, .9, 9.0,\n .9, .9, .9, 9.0,\n .9, .9, .9, 9.0,\n .9, .9, .9, 9.0,\n 0.0, 0.0, 0.0, 1.0, #lines\n 0.0, 0.0, 0.0, 1.0,\n 0.0, 0.0, 0.0, 1.0,\n 0.0, 0.0, 0.0, 1.0,\n ]\n\n self._fonts = []\n for u in range(1, self._unit_count[0]+1):\n verticies.append(self._unit_w[0]*u)\n verticies.append(-self.o_wh[1]+0.02)\n verticies.append(self._unit_w[0]*u)\n verticies.append(-self.o_wh[1]-0.02)\n colors += [0.0, 0.0, 0.0, 1.0]\n colors += [0.0, 0.0, 0.0, 1.0]\n self._fonts.append([\n '{:.2f}'.format(u*(self.i_axis[0]/self._unit_count[0])-self.i_origin[0]),\n (self._unit_w[0]*u+self.i_border[0]-0.05)*self._scaling[0],\n (-self.o_wh[1]+(self.i_border[3])*0.5)\n ])\n for u in range(0, self._unit_count[1]):\n verticies.append(0.02)\n verticies.append(-self._unit_w[1]*u)\n verticies.append(-0.02)\n verticies.append(-self._unit_w[1]*u)\n colors += [0.0, 0.0, 0.0, 1.0]\n colors += [0.0, 0.0, 0.0, 1.0]\n self._fonts.append([\n '{:.2f}'.format(self.i_axis[1]-u*self.i_axis[1]/self._unit_count[1]-self.i_origin[1]),\n (0.025)*self._scaling[0],\n (-(self._unit_w[1])*u-self.i_border[1]+0.01)*self._scaling[1]\n ])\n\n self._draw_plane_indicies = (0, 12)\n self._draw_line_indicies = (12, 4+self._unit_count[0]*2+self._unit_count[1]*2)\n\n # convert data into valid data format\n verticies = numpy.array(verticies, dtype=numpy.float32)\n colors = numpy.array(colors, dtype=numpy.float32)\n\n self._plane_vao = util.VAO()\n self._plane_vbo = util.VBO(2)\n\n with self._plane_vao:\n # plane verticies\n with self._plane_vbo.get(0):\n glBufferData(GL_ARRAY_BUFFER, ArrayDatatype.arrayByteCount(verticies), verticies, GL_STATIC_DRAW)\n glVertexAttribPointer(self.plane_shader.attributeLocation('vertex_position'), 2, GL_FLOAT, GL_FALSE, 0, None)\n glEnableVertexAttribArray(0)\n\n # place vertex colors\n with self._plane_vbo.get(1):\n glBufferData(GL_ARRAY_BUFFER, ArrayDatatype.arrayByteCount(colors), colors, GL_STATIC_DRAW)\n glVertexAttribPointer(self.plane_shader.attributeLocation('vertex_color'), 4, GL_FLOAT, GL_FALSE, 0, None)\n glEnableVertexAttribArray(1)","def plane(self):\n return Plane(Point(0, self.evaluations.exposedWing.edges[2].point1.y, 0), Vector(0, 1, 0),\n hidden=True)","def GetPlaneMode(self, *args):\n return _ShapeUpgrade.ShapeUpgrade_ShapeConvertToBezier_GetPlaneMode(self, *args)","def filter_plane(img_plane):\n img_plane = despeckle_by_opening(img_plane)\n img_plane = pseudo_flatfield(img_plane)\n return img_plane","def plane_2d(self, quantity, plane, pval, draw=False, fixed=None):\n self.log.info('Plotting plane')\n pval = int(pval)\n # x = np.arange(0, self.period, self.dx)\n # y = np.arange(0, self.period, self.dy)\n # z = np.arange(0, self.height + self.dz, self.dz)\n x = self.X\n y = self.Y\n z = self.Z\n # Get the scalar values\n freq = self.conf['Simulation']['params']['frequency']\n wvlgth = (consts.c / freq) * 1E9\n title = 'Frequency = {:.4E} Hz, Wavelength = {:.2f} nm'.format(\n freq, wvlgth)\n # Get the plane we wish to plot\n cs = self.get_plane(quantity, plane, pval)\n self.log.info('DATA SHAPE: %s' % str(cs.shape))\n show = self.conf['General']['show_plots']\n p = False\n sim_dir = os.path.expandvars(self.conf['General']['sim_dir'])\n if plane == 'yz' or plane == 'zy':\n labels = ('y [um]', 'z [um]', quantity, title)\n if self.conf['General']['save_plots']:\n p = os.path.join(sim_dir,\n '%s_plane_2d_yz_pval%s.png' % (quantity,\n str(pval)))\n self.heatmap2d(y, z, cs, labels, plane, pval,\n save_path=p, show=show, draw=draw, fixed=fixed)\n elif plane == 'xz' or plane == 'zx':\n labels = ('x [um]', 'z [um]', quantity, title)\n if self.conf['General']['save_plots']:\n p = os.path.join(sim_dir,\n '%s_plane_2d_xz_pval%s.png' % (quantity,\n str(pval)))\n self.heatmap2d(x, z, cs, labels, plane, pval,\n save_path=p, show=show, draw=draw, fixed=fixed)\n elif plane == 'xy' or plane == 'yx':\n labels = ('y [um]', 'x [um]', quantity, title)\n if self.conf['General']['save_plots']:\n p = os.path.join(sim_dir,\n '%s_plane_2d_xy_pval%s.png' % (quantity,\n str(pval)))\n self.heatmap2d(x, y, cs, labels, plane, pval,\n save_path=p, show=show, draw=draw, fixed=fixed)","def slice_explorer(data, cmap='gray'):\n data_len = len(data)\n\n @interact(plane=(0, data_len-1), continuous_update=False)\n def display_slice(plane=data_len/2):\n fig, axis = plt.subplots(figsize=(20, 7))\n axis_3d = fig.add_subplot(133, projection='3d')\n show_plane(axis, data[plane], title='Plane {}'.format(plane), cmap=cmap)\n slice_in_3d(axis=axis_3d, shape=data.shape, plane=plane)\n plt.show()\n\n return display_slice","def p(self):\n return 'Plane'","def project_point_plane(point, plane):\n base, normal = plane\n normal = normalize_vector(normal)\n vector = subtract_vectors(point, base)\n snormal = scale_vector(normal, dot_vectors(vector, normal))\n return subtract_vectors(point, snormal)","def PlotAirplane():\n airplane = vtkInterface.PolyData(planefile)\n airplane.Plot()","def get_projection_point(self, point, plane, test=False):\n return point_on_plane_projection(point, plane, test=test)","def SetPlaneMode(self, *args):\n return _ShapeUpgrade.ShapeUpgrade_ConvertSurfaceToBezierBasis_SetPlaneMode(self, *args)","def LoadAirplane():\n return vtkInterface.PolyData(planefile)","def color_plane_png(plane, color, is_normalized):\n plane = plane.copy()\n cutoff = np.array([200, 200, 200])\n if is_normalized:\n cutoff = cutoff.astype(np.float32) / 255.0\n black_indices = np.all((plane[:, :, :3] <= cutoff), axis=2)\n plane[black_indices, :3] = color\n return plane","def changeClippingPlane(self):\n dir = gp_Dir(0., 0., 1.)\n checkedButton = self.ui.buttonGroup.checkedButton()\n if checkedButton == self.ui.xRadioButton:\n dir = gp_Dir(1., 0., 0.)\n elif checkedButton == self.ui.yRadioButton:\n dir = gp_Dir(0., 1., 0.)\n elif checkedButton == self.ui.zRadioButton:\n dir = gp_Dir(0., 0., 1.)\n self._surface.UpdateClippingPlane(dir)","def show_plane(axis, plane, cmap=\"gray\", title=None):\n axis.imshow(plane, cmap=cmap)\n axis.set_xticks([])\n axis.set_yticks([])\n\n if title:\n axis.set_title(title)\n\n return None","def slice_in_3d(axis, shape, plane):\n Z = np.array([[0, 0, 0],\n [1, 0, 0],\n [1, 1, 0],\n [0, 1, 0],\n [0, 0, 1],\n [1, 0, 1],\n [1, 1, 1],\n [0, 1, 1]])\n\n Z = Z * shape\n\n r = [-1, 1]\n\n X, Y = np.meshgrid(r, r)\n\n # plotting vertices\n axis.scatter3D(Z[:, 0], Z[:, 1], Z[:, 2])\n\n # list of sides' polygons of figure\n verts = [[Z[0], Z[1], Z[2], Z[3]],\n [Z[4], Z[5], Z[6], Z[7]],\n [Z[0], Z[1], Z[5], Z[4]],\n [Z[2], Z[3], Z[7], Z[6]],\n [Z[1], Z[2], Z[6], Z[5]],\n [Z[4], Z[7], Z[3], Z[0]],\n [Z[2], Z[3], Z[7], Z[6]]]\n\n # plotting sides\n axis.add_collection3d(\n Poly3DCollection(verts,\n facecolors=(0, 1, 1, 0.25),\n linewidths=1,\n edgecolors='darkblue')\n )\n\n verts = np.array([[[0, 0, 0],\n [0, 0, 1],\n [0, 1, 1],\n [0, 1, 0]]])\n verts = verts * shape\n verts += [plane, 0, 0]\n\n axis.add_collection3d(\n Poly3DCollection(verts,\n facecolors='magenta',\n linewidths=1,\n edgecolors='black')\n )\n\n axis.set_xlabel('plane')\n axis.set_ylabel('col')\n axis.set_zlabel('row')\n\n # auto-scale plot axes\n scaling = np.array([getattr(axis, 'get_{}lim'.format(dim))() for dim in 'xyz'])\n axis.auto_scale_xyz(*[[np.min(scaling), np.max(scaling)]] * 3)\n\n return None","def test_selecting_points(self, data, selected_data, other_selected_data):\n assume(\n np.max(selected_data) < data.shape[0]\n and np.max(other_selected_data) < data.shape[0]\n )\n\n selected_data = set(selected_data)\n other_selected_data = set(other_selected_data)\n\n layer = Points(data)\n layer.mode = \"select\"\n layer.selected_data = selected_data\n assert layer.selected_data == selected_data\n\n # test switching to 3D\n layer._slice_dims(ndisplay=3)\n assert layer.selected_data == selected_data\n\n # select different points while in 3D mode\n layer.selected_data = other_selected_data\n assert layer.selected_data == other_selected_data\n\n # selection should persist when going back to 2D mode\n layer._slice_dims(ndisplay=2)\n assert layer.selected_data == other_selected_data\n\n # selection should persist when switching between between select and pan_zoom\n layer.mode = \"pan_zoom\"\n assert layer.selected_data == other_selected_data\n layer.mode = \"select\"\n assert layer.selected_data == other_selected_data\n\n # add mode should clear the selection\n layer.mode = \"add\"\n assert layer.selected_data == set()","def fadePlane(self):\n global circle_group\n circle_group = VGroup()\n\n self.play(FadeOut(number_plane_1))\n\n circle_group.add(circ_main, dot_circ, line_circ, dot_center,\n graph_upper, graph_lower,\n radius_horiz, radius_horiz_end_dot, radius_ang, radius_ang_end_dot,\n central_angle, central_angle_label,\n small_tangent, small_tangent_end_dot ,\n dot_circ_copy, dropped_dot, dropped_perp, radius_horiz_ext,\n ptA, ptB, ptC, ptD, ptE)\n \n # self.play(circle_group.animate.shift(LEFT*5))","def GetPlaneMode(self, *args):\n return _ShapeUpgrade.ShapeUpgrade_ConvertSurfaceToBezierBasis_GetPlaneMode(self, *args)","def plot_plane(unit_normal, x_array, y_array, fore):\n # print'unit normal = ', unit_normal\n z = (((unit_normal[0] * (fore[0] - x_array)) + (unit_normal[1] * (fore[1] - y_array))) / unit_normal[2]) + fore[2]\n # print 'plane numbers\\n', z\n return z","def get_plane_of_points(\n self,\n normal_vector=\"z\",\n planar_coordinate=None,\n ):\n # Get results vectors\n if (normal_vector == \"z\"):\n x_flat = self.floris.grid.x_sorted_inertial_frame[0, 0].flatten()\n y_flat = self.floris.grid.y_sorted_inertial_frame[0, 0].flatten()\n z_flat = self.floris.grid.z_sorted_inertial_frame[0, 0].flatten()\n else:\n x_flat = self.floris.grid.x_sorted[0, 0].flatten()\n y_flat = self.floris.grid.y_sorted[0, 0].flatten()\n z_flat = self.floris.grid.z_sorted[0, 0].flatten()\n u_flat = self.floris.flow_field.u_sorted[0, 0].flatten()\n v_flat = self.floris.flow_field.v_sorted[0, 0].flatten()\n w_flat = self.floris.flow_field.w_sorted[0, 0].flatten()\n\n # Create a df of these\n if normal_vector == \"z\":\n df = pd.DataFrame(\n {\n \"x1\": x_flat,\n \"x2\": y_flat,\n \"x3\": z_flat,\n \"u\": u_flat,\n \"v\": v_flat,\n \"w\": w_flat,\n }\n )\n if normal_vector == \"x\":\n df = pd.DataFrame(\n {\n \"x1\": y_flat,\n \"x2\": z_flat,\n \"x3\": x_flat,\n \"u\": u_flat,\n \"v\": v_flat,\n \"w\": w_flat,\n }\n )\n if normal_vector == \"y\":\n df = pd.DataFrame(\n {\n \"x1\": x_flat,\n \"x2\": z_flat,\n \"x3\": y_flat,\n \"u\": u_flat,\n \"v\": v_flat,\n \"w\": w_flat,\n }\n )\n\n # Subset to plane\n # TODO: Seems sloppy as need more than one plane in the z-direction for GCH\n if planar_coordinate is not None:\n df = df[np.isclose(df.x3, planar_coordinate)] # , atol=0.1, rtol=0.0)]\n\n # Drop duplicates\n # TODO is this still needed now that we setup a grid for just this plane?\n df = df.drop_duplicates()\n\n # Sort values of df to make sure plotting is acceptable\n df = df.sort_values([\"x2\", \"x1\"]).reset_index(drop=True)\n\n return df","def plane_distance(p, plane):\n x, y, z = p\n A, B, C, D = plane\n return A*x + B*y + C*z + D","def __init__(self, obj, plane):\n self.obj = obj\n self.plane = plane\n self.plane_origin = plane[0]\n self.plane_normal = plane[1]\n self.distance_from_plane = np.dot((self.obj.vectors-self.plane[0]),\n self.plane[1])\n self.slice_points = []\n\n self.calculate_points()\n \n return None","def topo_plane_paramEval(self, param):\n # Create an empty numpy array with the same number as pixels as the real data.\n self.topo_plane_fit_data = np.zeros((self.y_res, self.x_res))\n for y in range(0, self.y_res): # Iterate over the y-axis pixels.\n for x in range(0, self.x_res): # Iterate over the x-axis pixels.\n self.topo_plane_fit_data[y, x] = param[0]*x + param[1]*y + param[2] # Generate plane value.\n return self.topo_plane_fit_data # Return entire array.","def invert_point_on_plane(point, plane):\n _, _, proj = project_point_to_plane(point, plane)\n\n u, v = proj[0][1]\n return u, v","def plane_list(self):\n return self.__plane_list","def test_point_on_plane(self, point, plane):\n _dist = point.dot(plane[:3]) + plane[3]\n if _dist <= epsilon:\n print('OK => point on plane')\n else:\n print('NO => point not on plane')","def LinePlane(line):\n line = rhutil.coerceline(line, True)\n rc, plane = line.TryGetPlane()\n if not rc: return scriptcontext.errorhandler()\n return plane","def closest_point_on_plane(point, plane):\n base, normal = plane\n x, y, z = base\n a, b, c = normalize_vector(normal)\n x1, y1, z1 = point\n d = a * x + b * y + c * z\n k = (a * x1 + b * y1 + c * z1 - d) / (a**2 + b**2 + c**2)\n return [x1 - k * a,\n y1 - k * b,\n z1 - k * c]","def _constructClippingPlane( self, viewProj, positive, axis):\r\n if positive: scale = 1\r\n else: scale = -1\r\n\r\n return Plane(viewProj[0,3] + scale*viewProj[0, axis],\r\n viewProj[1,3] + scale*viewProj[1, axis],\r\n viewProj[2,3] + scale*viewProj[2, axis],\r\n viewProj[3,3] + scale*viewProj[3, axis] )","def planes_3d(self, quantity, xplane, yplane):\n xplane = int(xplane)\n yplane = int(yplane)\n # Get the scalar values\n # Get the data on the plane with a fixed x value. These means we'll\n # have changing (y, z) points\n xdata = self.get_plane(quantity, 'yz', xplane)\n # z first cuz we want y to be changing before z to correspond with the\n # way numpy flattens arrays. Note this means y points will be in the\n # 2nd column\n xplanepoints = np.array(list(itertools.product(self.Z, self.Y)))\n xdata = xdata.flatten()\n xplanexval = np.array(list(itertools.repeat(x[xplane], len(xdata))))\n xplanedata = np.zeros((xplanepoints.shape[0], 4))\n xplanedata[:, 0] = xplanexval\n xplanedata[:, 1] = xplanepoints[:, 1]\n xplanedata[:, 2] = xplanepoints[:, 0]\n xplanedata[:, 3] = xdata\n # Same procedure for fixed y plane\n ydata = self.get_plane(quantity, 'xz', yplane)\n yplanepoints = np.array(list(itertools.product(z, x)))\n ydata = ydata.flatten()\n yplaneyval = np.array(list(itertools.repeat(y[yplane], len(ydata))))\n yplanedata = np.zeros((yplanepoints.shape[0], 4))\n yplanedata[:, 0] = yplanepoints[:, 1]\n yplanedata[:, 1] = yplaneyval\n yplanedata[:, 2] = yplanepoints[:, 0]\n yplanedata[:, 3] = ydata\n labels = ('X [um]', 'Y [um]', 'Z [um]', quantity)\n # Now stack them vertically and plot!\n all_data = np.vstack((xplanedata, yplanedata))\n self.scatter3d(all_data[:, 0], all_data[:, 1], all_data[:, 2],\n all_data[:, 3], labels, 'planes_3d')","def plane_indexes_from(self, plane_index: int):\r\n if plane_index is None:\r\n return range(len(self.fit.tracer.planes))\r\n return [plane_index]","def PlotAntsPlane():\n\n # load and shrink airplane\n airplane = vtkInterface.PolyData(planefile)\n airplane.points /= 10\n # pts = airplane.GetNumpyPoints() # gets pointer to array\n # pts /= 10 # shrink\n\n # rotate and translate ant so it is on the plane\n ant = vtkInterface.PolyData(antfile)\n ant.RotateX(90)\n ant.Translate([90, 60, 15])\n\n # Make a copy and add another ant\n ant_copy = ant.Copy()\n ant_copy.Translate([30, 0, -10])\n\n # Create plotting object\n plobj = vtkInterface.PlotClass()\n plobj.AddMesh(ant, 'r')\n plobj.AddMesh(ant_copy, 'b')\n\n # Add airplane mesh and make the color equal to the Y position\n plane_scalars = airplane.points[:, 1]\n plobj.AddMesh(airplane, scalars=plane_scalars, stitle='Plane Y\\nLocation')\n plobj.AddText('Ants and Plane Example')\n plobj.Plot()","def mirror_point_to_plane(point, plane):\n assert isinstance(plane, cg3d_plane.CGPlane)\n pn, norm = plane.get_point_and_normal()\n norm.normalize()\n return point - 2.0 * ((point - pn) * norm) * norm","def project_points_plane(points, plane):\n return [project_point_plane(point, plane) for point in points]","def _getDockColor(self, plane):\n color = (0,0,0)\n if plane.zAxis != -1:\n color = self.globalAxis[plane.zAxis].color[0:3]\n return color","def __getPlaneName(self):\n item = self._item()\n planeNormal = item.getNormal() if item is not None else None\n\n for name, normal in self._PLANES.items():\n if numpy.array_equal(planeNormal, normal):\n return name\n return '-'","def get_data_on_horizontal_plane(self, varname, record, plane_number):\n if self.get_mesh_dimension() != 3:\n raise TelemacException(\"Action possible only on 3d mesh\")\n\n values = self.get_data_value(varname, record)\n if plane_number < 0 or plane_number >= self.nplan:\n raise TelemacException(\\\n 'Wrong plane number {} should be in [0, {}]'\\\n .format(plane_number, self.nplan-1))\n start = plane_number*self.npoin2\n end = (plane_number+1)*self.npoin2\n extracted_values = values[start:end]\n\n return extracted_values","def create_plane(self):\n\n # First we calculate our point increment for both the x and y values\n inc_x = (self.xmax - self.xmin)/(self.xlen - 1)\n inc_y = (self.ymax - self.ymin)/(self.ylen - 1)\n\n # This for-loop will add every x-value with every y-value, saving the values column wise\n # i.e. (-10,-10), (-10,-9), (-10.-8),...,(-10,n) for n = our y-values.\n # store these combinations into a list, and add that to our plane. \n # The nested loop will then traverse again and will get the combinations for the next x-value.\n # The loop will continue until all x-values and y-value combinations are added to our plane.\n for y in range(0, self.ylen + 1):\n temp_list = []\n for x in range(0, self.xlen + 1):\n temp_list.append(self.f((self.xmin + x*inc_x) + (self.ymin + y*inc_y)*1j))\n self.plane.append(temp_list)","def test_CoordinatePlane(self):\n origin = np.random.randn(3)\n normal = np.random.randn(3)\n up_vector = np.random.randn(3)\n plane = shapes_nd.Plane(origin, normal)\n cplane = shapes_3d.CoordinatePlane(origin, normal, up_vector)\n \n np.testing.assert_almost_equal(cplane.dim, plane.dim)\n np.testing.assert_almost_equal(cplane.origin, plane.origin)\n np.testing.assert_almost_equal(cplane.normal, plane.normal)\n \n p3 = [0, 1, 0]\n c, d = cplane.project_point(p3, ret_dist=True)\n np.testing.assert_almost_equal(p3, cplane.revert_projection(c, d))\n p3 = np.random.randn(5, 3)\n c, d = cplane.project_point(p3, ret_dist=True)\n np.testing.assert_almost_equal(p3, cplane.revert_projection(c, d))","def planeIndex(plane, center = False):\n return (planeBase(center = center) * np.array(plane)).sum()","def __init__(self,functions):\n Plane.__init__(self)\n self.functions=functions\n self.colors=([RED,BLUE,GREEN,YELLOW]+[window.randomColor() for i in range(len(functions)-4)])[:len(functions)]","def compare_plane_data(pd1, pd2):\n raise NotImplementedError","def include_cut_poly_array(self, planes, fix_pts):\n planeActors = []\n\n for i in range(3):\n # get plane coefficients\n a = planes[i][0]\n b = planes[i][1]\n c = planes[i][2]\n\n # create vtk plane object\n VTKplane = vtk.vtkPlane()\n VTKplane.SetNormal(a, b, c)\n if fix_pts[0] == 'var': # for variability test\n VTKplane.SetOrigin(self.epi_apex_node)\n else: # for foreshortening test\n VTKplane.SetOrigin(fix_pts[1+i])\n\n # create cutter\n cutEdges = vtk.vtkCutter()\n cutEdges.SetInputData(self.endo_poly) # always cut through endo\n cutEdges.SetCutFunction(VTKplane)\n cutEdges.GenerateCutScalarsOn()\n cutEdges.GenerateTrianglesOn()\n cutEdges.SetValue(0, 0.5)\n\n # create strips # just for output purposes\n cutStrips = vtk.vtkStripper()\n cutStrips.SetInputConnection(cutEdges.GetOutputPort())\n cutStrips.Update()\n\n # get polydata from strips (just for output purposes)\n cutPoly = vtk.vtkPolyData()\n cutPts = cutStrips.GetOutput().GetPoints()\n cutPoly.SetPoints(cutPts)\n cutPoly.SetPolys(cutStrips.GetOutput().GetLines())\n\n cutterMapper = vtk.vtkPolyDataMapper()\n cutterMapper.SetInputConnection(cutEdges.GetOutputPort())\n cutterMapper.ScalarVisibilityOff()\n\n # create plane actor\n planeActor = vtk.vtkActor()\n planeActor.SetMapper(cutterMapper)\n planeActor.GetProperty().SetColor(self.plane_colors[i])\n planeActor.GetProperty().SetLineWidth(6)\n\n # store the actors of the specific planes to add later into 1 renderer\n planeActors.append(planeActor)\n\n return planeActors","def plane_fit(points):\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\n assert points.shape[0] <= points.shape[1], \"There are only {} points in {} dimensions.\".format(points.shape[1],\n points.shape[0])\n ctr = points.mean(axis=1)\n x = points - ctr[:, np.newaxis]\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\n return ctr, svd(M)[0][:, -1]","def __init__(self, graphics, plane):\n # screen / plane\n self.graphics = graphics\n\n self.view = [graphics.screen_width, graphics.screen_height]\n self.plane = list(plane)\n self.recalculate()\n # camera\n self.anchor = None\n self.pan = False # smooth scroll\n self.find_time = 0.5 # seconds\n self.pan_speed = 50.0 # pos/sec\n self.last_time = time.time()","def WritePlane(self):\n if not self.__train:\n print('ERROR: Must use Train before WritePlane')\n sys.exit(-1)\n if not self.__openPlaneO:\n print('ERROR: Must use OpenPlaneO before WritePlane')\n sys.exit(-1)\n\n # Defines angular dimensions\n self.__nc_RSoft_O.createDimension('type', self.__n_type)\n\n # Defines variables\n if self.__containsRadial:\n rad_plane_id = self.__nc_RSoft_O.createVariable(\\\n 'radial_plane', 'f4', \\\n ('type','radial_structure_functions'))\n rad_plane_id[:] = self.radial_plane\n if self.__containsAngular:\n ang_plane_id = self.__nc_RSoft_O.createVariable(\\\n 'angular_plane', 'f4', \\\n ('type','angular_structure_functions'))\n ang_plane_id[:] = self.angular_plane\n intercept_id_O = self.__nc_RSoft_O.createVariable(\\\n 'intercept', 'f4', ('type'))\n intercept_id_O[:] = self.intercept","def project_onto_plane(vect):\n x, y, z = vect\n \n return (x, y, 0.)","def intersect_plane(L, plane):\n \n # Line U, V\n # Plane N n\n # (VxN-nU:U.N)\n # Note that this is in homogeneous coordinates.\n # intersection of plane (n,p) with the line (v,p)\n # returns point and line parameter\n \n \n den = np.dot(L.w, plane.n)\n \n if abs(den) > (100*_eps):\n P = -(np.cross(L.v, plane.n) + plane.p * L.w) / den\n p = (np.cross(L.v, plane.n) - plane.p * L.w) / den\n \n P = L.pp\n t = np.dot( P-p, N)\n return namedtuple('intersect_plane', 'p t')(P, t)\n else:\n return None","def addPlaneToScene(self, foot, x, y):\r\n #research\r\n profprint()\r\n scene = slicer.mrmlScene\r\n # Create model node\r\n model = slicer.vtkMRMLModelNode()\r\n model.SetScene(scene)\r\n model.SetName(scene.GenerateUniqueName(\".ObturatorPlane\"))\r\n\r\n planeSource = vtk.vtkPlaneSource()\r\n foot-=25*(x+y)\r\n #planeSource.SetOrigin(np.array(foot))\r\n planeSource.SetOrigin(list(foot))\r\n planeSource.SetPoint1(np.array(foot)+50*x)\r\n planeSource.SetPoint2(np.array(foot)+50*y)\r\n planeSource.Update()\r\n model.SetAndObservePolyData(planeSource.GetOutput())\r\n\r\n # Create display node\r\n modelDisplay = slicer.vtkMRMLModelDisplayNode()\r\n modelDisplay.SetColor(1,1,0) # yellow\r\n modelDisplay.SetBackfaceCulling(0)\r\n modelDisplay.SetScene(scene)\r\n scene.AddNode(modelDisplay)\r\n model.SetAndObserveDisplayNodeID(modelDisplay.GetID())\r\n\r\n # Add to scene\r\n scene.AddNode(model)\r\n # transform = slicer.vtkMRMLLinearTransformNode()\r\n # scene.AddNode(transform)\r\n # model.SetAndObserveTransformNodeID(transform.GetID())\r\n #\r\n # vTransform = vtk.vtkTransform()\r\n # vTransform.Scale(50,50,50)\r\n # #vTransform.RotateX(30)\r\n # transform.SetAndObserveMatrixTransformToParent(vTransform.GetMatrix())\r","def get_cut_poly_array(self, planes, angles, disp, fix_pts):\n noPlanes = len(planes)\n plane_storer = [] #4, 2, 3ch in this order\n cut_poly_array = [] #4, 2, 3ch in this order\n\n view_type = ['4ch', '2ch', '3ch']\n\n for i in range(noPlanes):\n if fix_pts[0] == 'var': # for variability test\n origin = self.epi_apex_node\n else: # for foreshortening test\n origin = fix_pts[1+i]\n\n cutPoly_endo_epi, planeActor_endo_epi = self.get_edges_strips(planes[i], origin,\n view_type[i], self.plane_colors[i])\n cut_poly_array.append(cutPoly_endo_epi) # 4, 2, 3\n plane_storer.append(planeActor_endo_epi)\n\n\n # DISPLAY PURPOSES #\n\n # include apex_node\n apexA = include_points(list(self.epi_apex_node), 1, 15, (0, 0, 0))\n\n ## create legend box ##\n legend = vtk.vtkLegendBoxActor()\n legend.SetNumberOfEntries(3)\n\n legendBox = vtk.vtkCubeSource()\n legendBox.SetXLength(2)\n legendBox.SetYLength(2)\n legend.SetEntry(0, legendBox.GetOutput(), \"4 ch\", (0, 1, 0)) #green\n legend.SetEntry(1, legendBox.GetOutput(), \"2 ch\", (0, 0, 1)) #blue\n\n legend.UseBackgroundOn()\n legend.LockBorderOn()\n legend.SetBackgroundColor(0.5, 0.5, 0.5)\n\n # create text box to display the angles ..\n textActor = vtk.vtkTextActor()\n textActor.SetInput(\"4ch = \" + str(angles[0])\n + \"\\n\" + \"2ch = \" + str(angles[1]))\n textActor.SetPosition2(10, 40)\n textActor.GetTextProperty().SetFontSize(24)\n textActor.GetTextProperty().SetColor(1.0, 0.0, 0.0)\n\n # display x-y-z actor\n axes = get_axes_actor([80,80,80], [0,0,0])\n\n # lets display the rv_dir\n rv_dir_act = include_points(list(60*self.rv_dir), 1, 15, (1, 0 ,1))\n\n ren = vtk.vtkRenderer()\n ren.SetBackground(1.0, 1.0, 1.0)\n ren.AddActor(self.meshActor)\n\n # for plAct in [item for sublist in plane_storer for item in sublist]: # flatten list\n # ren.AddActor(plAct)\n\n ren.AddActor(plane_storer[0][0]) # 4ch endo\n ren.AddActor(plane_storer[0][1]) # 4ch epi\n ren.AddActor(plane_storer[1][0]) # 2ch endo\n ren.AddActor(plane_storer[1][1]) # 2ch epi\n # ren.AddActor(plane_storer[2][0]) # 3ch endo\n # ren.AddActor(plane_storer[2][1]) # 3ch epi\n\n self.meshActor.GetProperty().SetOpacity(1.0)\n ren.AddActor(legend)\n ren.AddActor2D(textActor)\n ren.AddActor(axes)\n ren.AddActor(apexA)\n ren.AddActor(rv_dir_act)\n\n if disp:\n vtk_show(ren)\n\n return cut_poly_array, plane_storer, ren","def plane(*args, length: float=0.0, name: AnyStr=\"\", position: List[float, float, float]=None,\n rotation: List[float, float, float]=None, size: float=0.0, width: float=0.0,\n **kwargs)->AnyStr:\n pass","def plane_fit(points):\n import numpy as np\n from numpy.linalg import svd\n\n points = np.reshape(\n points, (np.shape(points)[0], -1)\n ) # Collapse trialing dimensions\n assert (\n points.shape[0] <= points.shape[1]\n ), \"There are only {} points in {} dimensions.\".format(\n points.shape[1], points.shape[0]\n )\n ctr = points.mean(axis=1)\n x = points - ctr[:, np.newaxis]\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\n return ctr, svd(M)[0][:, -1]","def isInPlane(self, p) -> bool:\n # Testing for zero is done with math.isclose, to avoid rounding/floating point errors.\n # Since we are testing near zero, abs_tol is set to 1e-09\n return math.isclose(\n math.fabs(\n dot(\n self.normal(),\n Vector.connect(p.x, p.y, p.z, self.p0.x, self.p0.y, self.p0.z),\n )\n ),\n 0,\n rel_tol=1e-09,\n abs_tol=1e-09,\n )","def plane_scale(self, scale):\n cmd = '{}testPlaneScale {}'.format(self.console, scale)\n self.write_command(cmd)","def get_transformable_plane(self, x_range = None, y_range = None):\n plane_config = dict(self.plane_config)\n shift_val = ORIGIN\n if x_range is not None:\n x_min, x_max = x_range\n plane_config[\"x_radius\"] = x_max - x_min\n shift_val += (x_max+x_min)*RIGHT/2.\n if y_range is not None:\n y_min, y_max = y_range\n plane_config[\"y_radius\"] = y_max - y_min\n shift_val += (y_max+y_min)*UP/2.\n plane = ComplexPlane(**plane_config)\n plane.shift(shift_val)\n if self.use_multicolored_plane:\n self.paint_plane(plane)\n return plane","def planeFit(points):\n\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\n assert points.shape[0] <= points.shape[1], \"There are only {} points in {} dimensions.\".format(points.shape[1], points.shape[0])\n ctr = points.mean(axis=1)\n x = points - ctr[:,np.newaxis]\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\n\n return ctr, np.linalg.svd(M)[0][:,-1]","def plane_update(self):\n self.plane.update()","def bbPlane(selection='(all)', color='gray', transp=0.3, state=-1, name=None, quiet=1):\n from pymol.cgo import BEGIN, TRIANGLES, COLOR, VERTEX, END\n from pymol import cgo\n from chempy import cpv\n\n # format input\n transp = float(transp)\n state, quiet = int(state), int(quiet)\n if name is None:\n name = cmd.get_unused_name(\"backbonePlane\")\n\n if state < 0:\n state = cmd.get_state()\n elif state == 0:\n for state in range(1, cmd.count_states(selection) + 1):\n bbPlane(selection, color, transp, state, name, quiet)\n return\n\n AAs = []\n coords = dict()\n\n # need hydrogens on peptide nitrogen\n cmd.h_add('(%s) and n. N' % selection)\n\n # get the list of residue ids\n for obj in cmd.get_object_list(selection):\n sel = obj + \" and (\" + selection + \")\"\n for a in cmd.get_model(sel + \" and n. CA\", state).atom:\n key = '/%s/%s/%s/%s' % (obj, a.segi, a.chain, a.resi)\n AAs.append(key)\n coords[key] = [a.coord, None, None]\n for a in cmd.get_model(sel + \" and n. O\", state).atom:\n key = '/%s/%s/%s/%s' % (obj, a.segi, a.chain, a.resi)\n if key in coords:\n coords[key][1] = a.coord\n for a in cmd.get_model(sel + \" and ((n. N extend 1 and e. H) or (r. PRO and n. CD))\", state).atom:\n key = '/%s/%s/%s/%s' % (obj, a.segi, a.chain, a.resi)\n if key in coords:\n coords[key][2] = a.coord\n\n # need at least two amino acids\n if len(AAs) <= 1:\n print(\"ERROR: Please provide at least two amino acids, the alpha-carbon on the 2nd is needed.\")\n return\n\n # prepare the cgo\n obj = [\n BEGIN, TRIANGLES,\n ]\n\n for res in range(0, len(AAs) - 1):\n curIdx, nextIdx = str(AAs[res]), str(AAs[res + 1])\n\n # populate the position array\n pos = [coords[curIdx][0], coords[curIdx][1], coords[nextIdx][2], coords[nextIdx][0]]\n\n # if the data are incomplete for any residues, ignore\n if None in pos:\n if not quiet:\n print(' bbPlane: peptide bond %s -> %s incomplete' % (curIdx, nextIdx))\n continue\n\n if cpv.distance(pos[0], pos[3]) > 4.0:\n if not quiet:\n print(' bbPlane: %s and %s not adjacent' % (curIdx, nextIdx))\n continue\n\n normal = cpv.normalize(cpv.cross_product(\n cpv.sub(pos[1], pos[0]),\n cpv.sub(pos[2], pos[0])))\n\n obj.append(cgo.NORMAL)\n obj.extend(normal)\n\n # need to order vertices to generate correct triangles for plane\n if cpv.dot_product(cpv.sub(pos[0], pos[1]), cpv.sub(pos[2], pos[3])) < 0:\n vorder = [0, 1, 2, 2, 3, 0]\n else:\n vorder = [0, 1, 2, 3, 2, 1]\n\n # fill in the vertex data for the triangles;\n for i in vorder:\n obj.append(VERTEX)\n obj.extend(pos[i])\n\n # finish the CGO\n obj.append(END)\n\n # update the UI\n cmd.load_cgo(obj, name, state, zoom=0)\n cmd.set(\"cgo_transparency\", transp, name)\n cmd.color(color, name)","def xyplane(draw, r, x, shift = np.array([1000, 1000, 0, 0]), scale = 300):\n extent = 2.8\n pln = np.array(\n [\n [x,-extent,0],\n [x,extent,0],\n [x,extent,extent*2],\n [x,-extent,extent*2]\n ]\n )\n pln = np.dot(pln,np.transpose(r))\n pln = pln * scale + shift[:3]\n draw.polygon([(pln[0][0],pln[0][1]),(pln[1][0],pln[1][1]),(pln[2][0],pln[2][1]),(pln[3][0],pln[3][1])], (0,102,255,70))","def project_plane_to_2d(xyz_arr, img, center, dist_thresh):\n\tplane_img = np.zeros(img.size)\n\tplane_img[xyz_arr[:, 2] > dist_thresh + center[2]] = 1\n\n\tplane_img = np.uint8(np.reshape(plane_img, (424, 512)) * 255) # reshape to match depth data and convert to uint8\n\tplane_img = np.uint8(\n\t\t(np.ones((424, 512)) * 255) - plane_img) # invert img so pixel value corresponds to NOT ground plane\n\tret, plane_img = cv2.threshold(plane_img, 0, 255,\n\t\t\t\t\t\t\t\t cv2.THRESH_BINARY) # filter points that are probaly not ground plane\n\tplane_img = cv2.subtract(img, plane_img)\n\treturn plane_img","def plot_sag_plane(self, P0=None, sag_pl=None):\n if P0 is None: P0 = np.array([0,0,0])\n if sag_pl is None: sag_pl = self.sp\n norm, d = sag_pl[:3], sag_pl[3]\n import matplotlib.pyplot as plt\n from mpl_toolkits.mplot3d import Axes3D\n plt.ion()\n # create x,y\n xypts = 10\n xrng = 300\n yrng = 130\n xrng_mesh = np.linspace(P0[0], P0[0]-xrng, xypts)\n yrng_mesh = np.linspace(P0[1]-yrng/2., P0[1]+yrng, xypts)\n xx, yy = np.meshgrid(xrng_mesh, yrng_mesh)\n # calculate corresponding z\n zz = -1 * (norm[0] * xx + norm[1] * yy + d) / norm[2]\n # plot the surface\n self.fig = plt.figure()\n self.fig_ax = self.fig.add_subplot(111, projection='3d')\n self.fig_ax.plot_wireframe(xx, yy, zz, color='gray')\n #ax.quiver(P0[0], P0[1], norm[0], norm[1])\n self.fig_ax.set_xlabel('X')\n self.fig_ax.set_ylabel('Y')\n self.fig_ax.set_zlabel('Z')\n self.fig_ax.set_zlim(P0[2]-xrng, P0[2]+yrng)\n plt.show()","def visualize_scan(self):\n fig = plt.figure()\n ax = fig.add_subplot(111, projection='3d')\n ax.scatter(self.p1_points[:, 0], self.p1_points[:, 1], self.p1_points[:, 2], c='r')\n ax.scatter(self.p2_points[:, 0], self.p2_points[:, 1], self.p2_points[:, 2], c='g')\n ax.scatter(self.p3_points[:, 0], self.p3_points[:, 1], self.p3_points[:, 2], c='b')\n ax.scatter(self.p4_points[:, 0], self.p4_points[:, 1], self.p4_points[:, 2])\n\n ax.set_xlabel('x')\n ax.set_ylabel('y')\n ax.set_zlabel('z')\n plt.show()","def planeFit(points):\n import numpy as np\n from numpy.linalg import svd\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\n assert points.shape[0] <= points.shape[1], \"There are only {} points in {} dimensions.\".format(points.shape[1], points.shape[0])\n ctr = points.mean(axis=1)\n x = points - ctr[:,np.newaxis]\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\n return ctr, svd(M)[0][:,-1]","def PCA_vis(select_PCA_features, player_attributes):\n x = player_attributes.loc[:, select_PCA_features].values\n\n # Standardizing the features\n x = StandardScaler().fit_transform(x)\n\n # perform 3 component PCA\n pca = PCA(n_components=3)\n principalComponents = pca.fit_transform(x)\n principalDf = pd.DataFrame(\n data=principalComponents,\n columns=[\n \"principal component 1\",\n \"principal component 2\",\n \"principal component 3\",\n ],\n )\n\n # plot players dataset projection on three principal components\n # %matplotlib notebook\n\n fig = plt.figure(figsize=(8, 8))\n ax = fig.add_subplot(1, 1, 1, projection=\"3d\")\n ax.set_title(\"3 component PCA\", fontsize=30)\n\n # plot first k players' info along principal components\n k = 4000\n ax.scatter(\n principalDf.loc[:k, \"principal component 1\"],\n principalDf.loc[:k, \"principal component 2\"],\n principalDf.loc[:k, \"principal component 3\"],\n s=1,\n )\n\n ax.set_xlabel(\"Principal Component 1\", fontsize=15)\n ax.set_ylabel(\"Principal Component 2\", fontsize=15)\n ax.set_zlabel(\"Principal Component 3\", fontsize=15)\n plt.show()\n\n return principalDf","def vplane(self, fig=None):\n #TODO more general multi-axis layout...\n figsize = (9, 6.5) # good for letter paper\n if fig is None: fig = plt.figure(figsize=figsize)\n else: fig.set_size_inches(*figsize)\n axkw = dict(frameon = True)\n left, width = 0.075, 0.6\n bh = 0.11\n pad = 0.04\n depth_ax = fig.add_axes((left, 6*pad+4.5*bh, width, bh*2), **axkw)\n axkw.update(dict(sharex = depth_ax))\n pitch_ax = fig.add_axes((left, 5*pad+3.5*bh, width, bh), **axkw)\n buoyancy_ax = fig.add_axes((left, 4*pad+2.5*bh, width, bh), **axkw)\n mass_ax = fig.add_axes((left, 3*pad + 1.5*bh, width, bh), **axkw)\n control_surface_ax = fig.add_axes((left, 2*pad + bh/2, width, bh), **axkw)\n control_mode_ax = fig.add_axes((left, pad, width, bh/2), **axkw)\n # TODO adjust scale and coverage for each axes\n # TODO do this again now that middle labels are removed\n\n self.plot_timeseries('depth', '-', axes=depth_ax)\n self.plot_timeseries('platform_pitch_angle', axes=pitch_ax)\n self.plot_timeseries('platform_mass_position', axes=mass_ax)\n self.plot_timeseries('platform_buoyancy_position', axes=buoyancy_ax)\n self.plot_timeseries('platform_elevator_angle', axes=control_surface_ax)\n # TODO Include another panel with VerticalControl mode (iff present)\n\n # TODO only if engineering data is requested...\n ### add to depth axes ###\n depth_science = {\n 'Depth_Keller/depth': 'c-',\n 'CTD_NeilBrown/depth': 'k-',\n 'Depth_MSI_US300/depth': 'm-'}\n for k, v in depth_science.items():\n try: self.plot_timeseries(k, v, axes=depth_ax)\n except: print('no {0}'.format(k))\n\n depth_engineering = {\n 'VerticalControl/smoothDepthInternal': 'r-',\n 'VerticalControl/depthCmd': 'g-',\n 'VerticalControl/depthErrorInternal': 'g:'}\n for k, v in depth_engineering.items():\n try: self.plot_timeseries(k, v, axes=depth_ax)\n except: print('no {0}'.format(k))\n # TODO only if sw debug flag is set \n depth_rate_engineering = {\n 'VerticalControl/depthRateCmd': 'gray',\n 'VerticalControl/depth_rate': 'gray', # XXX why same color?\n }\n for k, v in depth_rate_engineering.items():\n try: \n self.plot_timeseries(k, vi, axes=depth_ax, \n convert=oalib.make_multiplier(100))\n except: print('no {0}'.format(k))\n ### add to pitch axes ###\n pitch_engineering = {\n 'AHRS_sp3003D/platform_pitch_angle': 'k-', \n 'DVL_micro/platform_pitch_angle': 'm-',\n 'AHRS_3DMGX3/platform_pitch_angle': 'c-',\n 'InternalSim/platform_pitch_angle': ':r',\n }\n for k, v in pitch_engineering.items():\n try: self.plot_timeseries(k, v, axes=pitch_ax)\n except: print('no {0}'.format(k))\n ### add to mass axes ###\n mass_engineering = {\n 'VerticalControl/massPositionAction': 'g-', \n 'VerticalControl/massIntegralInternal': 'c-',\n 'MassServo/platform_mass_position': 'r-',\n #'VerticalControl/massPitchErrorInternal': ':r',\n }\n for k, v in mass_engineering.items():\n try: self.plot_timeseries(k, v, axes=mass_ax)\n except: print('no {0}'.format(k))\n ### add to buoyancy axes ###\n buoyancy_engineering = {\n 'VerticalControl/buoyancyAction': 'm-',\n 'BuoyancyServo/platform_buoyancy_position': 'b-',\n }\n for k, v in buoyancy_engineering.items():\n try: \n self.plot_timeseries(k, v,\n# convert=oalib.make_multiplier(-10), \n axes=buoyancy_ax)\n except: print('no {0}'.format(k))\n ### add to control surface axes ###\n control_surface_engineering = {\n 'VerticalControl/elevatorAngleAction': 'm-', \n 'VerticalControl/elevatorIntegralInternal': 'm:',\n 'ElevatorServo/platform_elevator_angle': 'c-',\n }\n for k, v in control_surface_engineering.items():\n try: \n self.plot_timeseries(k, v, convert = np.rad2deg, \n axes=control_surface_ax)\n except: print('no {0}'.format(k))\n \n\n # TODO only if supporting data is requested\n ### add other supporting data ###\n try: self.plot_timeseries('CTD_NeilBrown/depth', 'k-', axes=depth_ax)\n except: print('no CTD_NeilBrown/depth')\n try: self.plot_timeseries('Depth_MSI_US300', 'm-', axes=depth_ax)\n except: print('no Depth_MSI_US300')\n\n\n ### print additional information ###\n buoyancyNeutral = ('Config/Control/buoyancyNeutral',\n 'Config/Servo/buoyancyNeutral')\n for s in buoyancyNeutral:\n try:\n print('{0} = {1} {2}'.format(s, self[s+'/value'], self[s+'/units']))\n except:\n print('{0} not found'.format(s))\n \n# VertMd(0=N/A,1=Surf,2=Dep,3=DepRt,4=Pit0,5=Pit,6=PitRt,7=M&E,8=Flt),\n# VertHoldMd(0=N/A,1=Ms,2=El,3=Both)\n try:\n v, t = self.timeseries('VerticalControl/verticalMode')\n oalib.plot_date_blocks(t, v, axes=control_mode_ax, colormap=mpl.cm.jet)\n except: print('VerticalControl/verticalMode not found')\n\n depth_ax.invert_yaxis()\n for ax in fig.get_axes():\n ax.grid(True)\n try:\n ax.legend(loc='center left', bbox_to_anchor=(1, 0.5),\n fontsize='small')\n except:\n print('uncaught exception for legend...')\n for ax in fig.get_axes()[:-1]:\n plt.setp(ax.get_xticklabels(), visible=False)\n\n depth_ax.set_title(os.path.basename(self.filename))\n control_mode_ax.xaxis.set_major_formatter(mpl.dates.DateFormatter('%H:%M'))\n plt.setp(control_mode_ax.get_xticklabels(), rotation=30,\n fontsize='small')","def test_create(self):\n f = azplugins.restrain.plane(group=hoomd.group.all(), point=(0,0,0), normal=(1,0,0), k=2.0)\n\n f.set_params(k=5.0)\n f.set_params(k=8)\n\n f.set_params(point=(0,0,1))\n f.set_params(point=[0,0,1])\n f.set_params(point=np.array([0,0,1]))\n\n f.set_params(normal=(0,0,1))\n f.set_params(normal=[0,0,1])\n f.set_params(normal=np.array([0,0,1]))\n\n f.set_params(point=(0,0,0), normal=(1,0,0), k=10.0)","def add_plane(self, plane):\n self.__plane_list.append(plane)","def get_plane(\n self,\n pos=None,\n norm=None,\n plane=None,\n sx=None,\n sy=None,\n color=\"lightgray\",\n alpha=0.25,\n **kwargs,\n ):\n axes_pairs = dict(sagittal=(0, 1), horizontal=(2, 0), frontal=(2, 1))\n\n if pos is None:\n pos = self.root._mesh.centerOfMass()\n\n try:\n norm = norm or self.space.plane_normals[plane]\n except KeyError: # pragma: no cover\n raise ValueError( # pragma: no cover\n f\"Could not find normals for plane {plane}. Atlas space provides these normals: {self.space.plane_normals}\" # pragma: no cover\n )\n\n # Get plane width and height\n idx_pair = (\n axes_pairs[plane]\n if plane is not None\n else axes_pairs[\"horizontal\"]\n )\n\n bounds = self.root.bounds()\n root_bounds = [\n [bounds[0], bounds[1]],\n [bounds[2], bounds[3]],\n [bounds[4], bounds[5]],\n ]\n\n wh = [float(np.diff(root_bounds[i])) for i in idx_pair]\n if sx is None:\n sx = wh[0]\n if sy is None:\n sy = wh[1]\n\n # return plane\n return Actor(\n Plane(pos=pos, normal=norm, sx=sx, sy=sy, c=color, alpha=alpha),\n name=f\"Plane at {pos} norm: {norm}\",\n br_class=\"plane\",\n )","def __init__(self, planes, cosmology):\r\n self.planes = planes\r\n self.plane_redshifts = [plane.redshift for plane in planes]\r\n self.cosmology = cosmology","def plane_list(self, new_list):\n self.__plane_list = new_list","def __init__(self,\n r = 1.0,\n normal = Vector(0.0,1.0,0.0),\n origin = Vector(0.0,0.0,0.0),\n orientation = Vector(1.0,0.0,0.0),\n c1 = Color(0.01,0.01,0.01),\n c2 = Color(0.99,0.99,0.99)):\n \n CheckPlane.__init__(self, normal, origin, orientation, c1, c2)\n self.origin = origin\n self.set_orientation(orientation)\n self.r = r\n self.R = r ** 2.0","def plane_shape(self) -> typing.Tuple[int, int]:\n return self._channel_arrays[0].shape[self.y_pos], self._channel_arrays[0].shape[self.x_pos]","def from_plane_and_radius(cls, plane, radius):\n return cls(radius, frame=Frame.from_plane(plane))","def planeFit(self, points):\n pointsP = points\n points = np.array(points).transpose()\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\n ctr = points.mean(axis=1)\n if points.shape[0] > points.shape[1]:\n return list(ctr), self.verticalAxis()\n x = points - ctr[:,np.newaxis]\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\n return ctr, svd(M)[0][:,-1]","def __copy__(self) -> 'Plane':\n return self.__class__(self._normal, self._distance_from_origin)","def PlaneSubtraction(data, direction='xy', xdim=20, ydim=20):\n img = 1*data\n dy, dx = img.shape\n x = np.linspace(0, xdim, dx)\n y = np.linspace(0, ydim, dy)\n DX, DY = np.meshgrid(x, y)\n PX = []\n PY = []\n\n for i, j in zip(np.arange(dy), np.arange(dx)):\n lx = img[i]\n ly = img[:, j]\n maskx = np.isnan(lx)\n masky = np.isnan(ly)\n\n if len(lx[maskx]) < len(lx):\n s = np.polyfit(x[~maskx], lx[~maskx], 1)\n PX.append(s)\n\n if len(ly[masky]) < len(ly):\n s = np.polyfit(y[~masky], ly[~masky], 1)\n PY.append(s)\n\n px = np.nanmean(PX, axis=0)\n py = np.nanmean(PY, axis=0)\n print(\"x - slope: %.2e, y - slope: %.2e\" % (px[0], py[0]))\n print(\"calculate planes\")\n xplane = np.polyval(px, DX)\n yplane = np.polyval(py, DY)\n\n if direction == 'x':\n print('x plane subtraction')\n correction = xplane\n elif direction == 'y':\n print('y plane subtraction')\n correction = yplane\n else:\n print('x-y plane subtraction')\n correction = xplane + yplane\n\n corrected = data - correction\n corrected -= np.nanmin(corrected)\n return corrected","def test_select_roi():\n _c = io.create_sample_Dataset(n_frames=5, rows=10, cols=10)\n _c = _c.sel(x=slice(35, 70), y=slice(30, 90))\n assert _c.u.shape == (7, 2, 5) # note the last dimension is preserved","def figures_2d_of_planes(\r\n self,\r\n plane_index: Optional[int] = None,\r\n subtracted_image: bool = False,\r\n model_image: bool = False,\r\n plane_image: bool = False,\r\n use_source_vmax: bool = False,\r\n zoom_to_brightest: bool = True,\r\n interpolate_to_uniform: bool = False,\r\n ):\r\n\r\n visuals_2d = self.get_visuals_2d()\r\n\r\n visuals_2d_no_critical_caustic = self.get_visuals_2d()\r\n visuals_2d_no_critical_caustic.tangential_critical_curves = None\r\n visuals_2d_no_critical_caustic.radial_critical_curves = None\r\n visuals_2d_no_critical_caustic.tangential_caustics = None\r\n visuals_2d_no_critical_caustic.radial_caustics = None\r\n\r\n plane_indexes = self.plane_indexes_from(plane_index=plane_index)\r\n\r\n if use_source_vmax:\r\n self.mat_plot_2d.cmap.kwargs[\"vmax\"] = np.max(self.fit.model_images_of_planes_list[-1])\r\n\r\n for plane_index in plane_indexes:\r\n\r\n if subtracted_image:\r\n\r\n self.mat_plot_2d.plot_array(\r\n array=self.fit.subtracted_images_of_planes_list[plane_index],\r\n visuals_2d=visuals_2d_no_critical_caustic,\r\n auto_labels=aplt.AutoLabels(\r\n title=f\"Subtracted Image of Plane {plane_index}\",\r\n filename=f\"subtracted_image_of_plane_{plane_index}\",\r\n ),\r\n )\r\n\r\n if model_image:\r\n\r\n if self.tracer.planes[plane_index].has(cls=aa.Pixelization):\r\n\r\n # Overwrite plane_index=0 so that model image uses critical curves -- improve via config cutomization\r\n\r\n visuals_2d_model_image = self.inversion_plotter_of_plane(plane_index=0).get_visuals_2d_for_data()\r\n\r\n else:\r\n\r\n visuals_2d_model_image = visuals_2d\r\n\r\n self.mat_plot_2d.plot_array(\r\n array=self.fit.model_images_of_planes_list[plane_index],\r\n visuals_2d=visuals_2d_model_image,\r\n auto_labels=aplt.AutoLabels(\r\n title=f\"Model Image of Plane {plane_index}\",\r\n filename=f\"model_image_of_plane_{plane_index}\",\r\n ),\r\n )\r\n\r\n if plane_image:\r\n\r\n if not self.tracer.planes[plane_index].has(cls=aa.Pixelization):\r\n\r\n self.tracer_plotter.figures_2d_of_planes(\r\n plane_image=True,\r\n plane_index=plane_index,\r\n zoom_to_brightest=zoom_to_brightest\r\n )\r\n\r\n elif self.tracer.planes[plane_index].has(cls=aa.Pixelization):\r\n\r\n inversion_plotter = self.inversion_plotter_of_plane(\r\n plane_index=plane_index\r\n )\r\n\r\n inversion_plotter.figures_2d_of_pixelization(\r\n pixelization_index=0,\r\n reconstruction=True,\r\n zoom_to_brightest=zoom_to_brightest,\r\n interpolate_to_uniform=interpolate_to_uniform\r\n )\r\n\r\n if use_source_vmax:\r\n self.mat_plot_2d.cmap.kwargs.pop(\"vmax\")","def edit(self, p):\n self.poses[self.selected_point].model = p\n self.calibration_changed()","def svm_add_2d_hyperplane(model, ax, plotted_points):\n X_MIN = np.min(plotted_points[:, 0])\n X_MAX = np.max(plotted_points[:, 0])\n Y_MIN = np.min(plotted_points[:, 1])\n Y_MAX = np.max(plotted_points[:, 1])\n # plot the line, the points, and the nearest vectors to the plane\n xx, yy = np.mgrid[X_MIN:X_MAX:200j, Y_MIN:Y_MAX:200j]\n Z = model.decision_function(np.c_[xx.ravel(), yy.ravel()])\n Z = Z.reshape(xx.shape)\n plot.contourf(xx, yy, Z, levels=np.linspace(\n Z.min(), 0, 7), cmap=plot.cm.PuBu)\n a = plot.contour(xx, yy, Z, levels=[0], linewidths=2, colors='darkred')\n plot.contourf(xx, yy, Z, levels=[0, Z.max()], colors='palevioletred')\n return a.collections[0]","def set_active_perspective(self, name):\n self.perspective_cbox.SetStringSelection(name)\n self.enable_import()","def is_point_on_plane(point, plane, tol=0.0):\n d = distance_point_plane(point, plane)\n return d <= tol","def line_plane(l, p):\n d = dot((p.o - l.o), p.n) / dot(l.d, p.n)\n return l(d)","def find_plane_eq(p1, p2, p3):\n\n p1 = np.asarray(p1)\n p2 = np.asarray(p2)\n p3 = np.asarray(p3)\n\n # These two vectors are in the plane\n v1 = p3 - p1\n v2 = p2 - p1\n\n # the cross product is a vector normal to the plane\n cp = np.cross(v1, v2)\n a, b, c = cp\n\n # This evaluates a * x3 + b * y3 + c * z3 which equals d\n d = np.dot(cp, p3)\n\n plane_eq = np.array([a, b, c, d])\n\n return plane_eq","def LinePlaneIntersection(line, plane):\n plane = rhutil.coerceplane(plane, True)\n line_points = rhutil.coerce3dpointlist(line, True)\n line = Rhino.Geometry.Line(line_points[0], line_points[1])\n rc, t = Rhino.Geometry.Intersect.Intersection.LinePlane(line, plane) \n if not rc: return scriptcontext.errorhandler()\n return line.PointAt(t)","def extract_plane_index_of_profile(self, profile_name):\r\n for plane_index, plane in enumerate(self.planes):\r\n for galaxy in plane.galaxies:\r\n if profile_name in galaxy.__dict__:\r\n return plane_index","def get_plane_drawables(self):\n return self.plane.get_drawables()","def setPointMode(self, mode):\n for point in self.points:\n point.mode = mode","def plane_equation(p1, p2, p3):\n a1 = p2[0] - p1[0]\n b1 = p2[1] - p1[1]\n c1 = p2[2] - p1[2]\n a2 = p3[0] - p1[0]\n b2 = p3[1] - p1[1]\n c2 = p3[2] - p1[2]\n a = b1 * c2 - b2 * c1\n b = a2 * c1 - a1 * c2\n c = a1 * b2 - b1 * a2\n # Points are collinear\n if (abs(a) < 1e-6) and (abs(b) < 1e-6) and (abs(c) < 1e-6):\n return None\n # All clear\n d = (- a * p1[0] - b * p1[1] - c * p1[2])\n return a, b, c, d"],"string":"[\n \"def GetPlane(plane):\\r\\n pass\",\n \"def plane(self):\\n return plane(self.N, self.o)\",\n \"def get_plane(self, scalar, plane, pval):\\n\\n if plane == 'yz' or plane == 'zy':\\n # z along rows, y along columns\\n return scalar[:, pval, :]\\n elif plane == 'xz' or plane == 'zx':\\n # x along columns, z along rows\\n return scalar[:, :, pval]\\n elif plane == 'xy' or plane == 'yx':\\n # x along rows, y along columns\\n return scalar[pval, :, :]\",\n \"def plane(self):\\r\\n from lsst.analysis import utils\\r\\n return utils.fitplane(self.points, self.z)\",\n \"def get_plane(self, quantity, plane, pval):\\n\\n self.log.info('Retrieving plane for %s', quantity)\\n scalar = self.get_scalar_quantity(quantity)\\n if plane == 'yz' or plane == 'zy':\\n # z along rows, y along columns\\n return scalar[:, pval, :]\\n elif plane == 'xz' or plane == 'zx':\\n # x along columns, z along rows\\n return scalar[:, :, pval]\\n elif plane == 'xy' or plane == 'yx':\\n # x along rows, y along columns\\n return scalar[pval, :, :]\",\n \"def mesh_slicer(self, plane, opt):\\n\\n # get plane coefficients\\n a = plane[0]\\n b = plane[1]\\n c = plane[2]\\n\\n # create vtk plane object\\n VTKplane = vtk.vtkPlane()\\n # for now we choose the center point as the point of rotation\\n VTKplane.SetOrigin(self.mesh_poly.GetCenter())\\n VTKplane.SetNormal(a, b, c)\\n VTKplane.SetOrigin(self.epi_apex_node)\\n\\n # create cutter\\n cutEdges = vtk.vtkCutter()\\n cutEdges.SetInputData(self.mesh_poly)\\n cutEdges.SetCutFunction(VTKplane)\\n cutEdges.GenerateCutScalarsOn()\\n cutEdges.SetValue(0, 0.5)\\n\\n # create renderer\\n ren = vtk.vtkRenderer()\\n ren.SetBackground(0.0, 0.0, 0.0)\\n\\n # create mapper\\n mapper = vtk.vtkPolyDataMapper()\\n mapper.SetInputConnection(cutEdges.GetOutputPort())\\n\\n # create actor\\n actor = vtk.vtkActor()\\n actor.SetMapper(mapper)\\n actor.GetProperty().SetColor(0.0, 0.0, 1.0)\\n actor.GetProperty().SetLineWidth(2)\\n\\n # display apex point\\n apexA = include_points(list(self.epi_apex_node), 1, 15, (0, 0, 1))\\n\\n if (opt == 'mesh'):\\n meshMapper = vtk.vtkPolyDataMapper()\\n meshMapper.SetInputData(self.mesh_poly)\\n meshActor = vtk.vtkActor()\\n meshActor.SetMapper(meshMapper)\\n meshActor.GetProperty().SetColor(1.0, 0.0, 0.0)\\n\\n # generate renderer\\n ren.AddActor(self.meshActor)\\n ren.AddActor(actor)\\n ren.AddActor(apexA)\\n\\n else:\\n ren.AddActor(actor)\\n ren.AddActor(apexA)\\n\\n # display\\n vtk_show(ren)\",\n \"def __setPlaneName(self, data):\\n item = self._item()\\n if item is not None:\\n for name, normal in self._PLANES.items():\\n if data == name and normal is not None:\\n item.setNormal(normal)\",\n \"def load_plane(image):\\n pixels = image.getPrimaryPixels()\\n return pixels.getPlane(0, 0, 0)\",\n \"def SetPlaneMode(self, *args):\\n return _ShapeUpgrade.ShapeUpgrade_ShapeConvertToBezier_SetPlaneMode(self, *args)\",\n \"def setPlanePickable(self, obj, dictName):\\n obj.sim.reparentTo(self.selectable)\\n obj.sim.find('**/pPlane1').node().setIntoCollideMask(BitMask32.bit(1))\\n obj.sim.find('**/pPlane1').node().setTag(dictName, obj.id)\",\n \"def _prepare_plane(self):\\n verticies = [\\n # main plane - note that the mainplane is scaled so the mat_plane\\n # matrix will it transform to the correct coordinates\\n -self.i_border[0]/self._scaling[0], self.i_border[1]/self._scaling[1],\\n -self.i_border[0]/self._scaling[0], -(self.o_wh[1]-self.i_border[1])/self._scaling[1],\\n (self.o_wh[0]-self.i_border[0])/self._scaling[0], -(self.o_wh[1]-self.i_border[1])/self._scaling[1],\\n (self.o_wh[0]-self.i_border[0])/self._scaling[0], -(self.o_wh[1]-self.i_border[1])/self._scaling[1],\\n (self.o_wh[0]-self.i_border[0])/self._scaling[0], self.i_border[1]/self._scaling[1],\\n -self.i_border[0]/self._scaling[0], self.i_border[1]/self._scaling[1],\\n\\n # coord plane\\n 0, 0,\\n 0, -self.o_wh[1],\\n self.o_wh[0], -self.o_wh[1],\\n self.o_wh[0], -self.o_wh[1],\\n self.o_wh[0], 0,\\n 0, 0,\\n\\n # axes\\n 0, -self.o_wh[1], self.o_wh[0], -self.o_wh[1], #x\\n 0, 0, 0, -self.o_wh[1], #y\\n ]\\n\\n colors = [\\n 1.0, 1.0, 1.0, 1.0, # outer box XXX Remove outer box...\\n 1.0, 1.0, 1.0, 1.0,\\n 1.0, 1.0, 1.0, 1.0,\\n 1.0, 1.0, 1.0, 1.0,\\n 1.0, 1.0, 1.0, 1.0,\\n 1.0, 1.0, 1.0, 1.0,\\n .9, .9, .9, 9.0, # plot box\\n .9, .9, .9, 9.0,\\n .9, .9, .9, 9.0,\\n .9, .9, .9, 9.0,\\n .9, .9, .9, 9.0,\\n .9, .9, .9, 9.0,\\n 0.0, 0.0, 0.0, 1.0, #lines\\n 0.0, 0.0, 0.0, 1.0,\\n 0.0, 0.0, 0.0, 1.0,\\n 0.0, 0.0, 0.0, 1.0,\\n ]\\n\\n self._fonts = []\\n for u in range(1, self._unit_count[0]+1):\\n verticies.append(self._unit_w[0]*u)\\n verticies.append(-self.o_wh[1]+0.02)\\n verticies.append(self._unit_w[0]*u)\\n verticies.append(-self.o_wh[1]-0.02)\\n colors += [0.0, 0.0, 0.0, 1.0]\\n colors += [0.0, 0.0, 0.0, 1.0]\\n self._fonts.append([\\n '{:.2f}'.format(u*(self.i_axis[0]/self._unit_count[0])-self.i_origin[0]),\\n (self._unit_w[0]*u+self.i_border[0]-0.05)*self._scaling[0],\\n (-self.o_wh[1]+(self.i_border[3])*0.5)\\n ])\\n for u in range(0, self._unit_count[1]):\\n verticies.append(0.02)\\n verticies.append(-self._unit_w[1]*u)\\n verticies.append(-0.02)\\n verticies.append(-self._unit_w[1]*u)\\n colors += [0.0, 0.0, 0.0, 1.0]\\n colors += [0.0, 0.0, 0.0, 1.0]\\n self._fonts.append([\\n '{:.2f}'.format(self.i_axis[1]-u*self.i_axis[1]/self._unit_count[1]-self.i_origin[1]),\\n (0.025)*self._scaling[0],\\n (-(self._unit_w[1])*u-self.i_border[1]+0.01)*self._scaling[1]\\n ])\\n\\n self._draw_plane_indicies = (0, 12)\\n self._draw_line_indicies = (12, 4+self._unit_count[0]*2+self._unit_count[1]*2)\\n\\n # convert data into valid data format\\n verticies = numpy.array(verticies, dtype=numpy.float32)\\n colors = numpy.array(colors, dtype=numpy.float32)\\n\\n self._plane_vao = util.VAO()\\n self._plane_vbo = util.VBO(2)\\n\\n with self._plane_vao:\\n # plane verticies\\n with self._plane_vbo.get(0):\\n glBufferData(GL_ARRAY_BUFFER, ArrayDatatype.arrayByteCount(verticies), verticies, GL_STATIC_DRAW)\\n glVertexAttribPointer(self.plane_shader.attributeLocation('vertex_position'), 2, GL_FLOAT, GL_FALSE, 0, None)\\n glEnableVertexAttribArray(0)\\n\\n # place vertex colors\\n with self._plane_vbo.get(1):\\n glBufferData(GL_ARRAY_BUFFER, ArrayDatatype.arrayByteCount(colors), colors, GL_STATIC_DRAW)\\n glVertexAttribPointer(self.plane_shader.attributeLocation('vertex_color'), 4, GL_FLOAT, GL_FALSE, 0, None)\\n glEnableVertexAttribArray(1)\",\n \"def plane(self):\\n return Plane(Point(0, self.evaluations.exposedWing.edges[2].point1.y, 0), Vector(0, 1, 0),\\n hidden=True)\",\n \"def GetPlaneMode(self, *args):\\n return _ShapeUpgrade.ShapeUpgrade_ShapeConvertToBezier_GetPlaneMode(self, *args)\",\n \"def filter_plane(img_plane):\\n img_plane = despeckle_by_opening(img_plane)\\n img_plane = pseudo_flatfield(img_plane)\\n return img_plane\",\n \"def plane_2d(self, quantity, plane, pval, draw=False, fixed=None):\\n self.log.info('Plotting plane')\\n pval = int(pval)\\n # x = np.arange(0, self.period, self.dx)\\n # y = np.arange(0, self.period, self.dy)\\n # z = np.arange(0, self.height + self.dz, self.dz)\\n x = self.X\\n y = self.Y\\n z = self.Z\\n # Get the scalar values\\n freq = self.conf['Simulation']['params']['frequency']\\n wvlgth = (consts.c / freq) * 1E9\\n title = 'Frequency = {:.4E} Hz, Wavelength = {:.2f} nm'.format(\\n freq, wvlgth)\\n # Get the plane we wish to plot\\n cs = self.get_plane(quantity, plane, pval)\\n self.log.info('DATA SHAPE: %s' % str(cs.shape))\\n show = self.conf['General']['show_plots']\\n p = False\\n sim_dir = os.path.expandvars(self.conf['General']['sim_dir'])\\n if plane == 'yz' or plane == 'zy':\\n labels = ('y [um]', 'z [um]', quantity, title)\\n if self.conf['General']['save_plots']:\\n p = os.path.join(sim_dir,\\n '%s_plane_2d_yz_pval%s.png' % (quantity,\\n str(pval)))\\n self.heatmap2d(y, z, cs, labels, plane, pval,\\n save_path=p, show=show, draw=draw, fixed=fixed)\\n elif plane == 'xz' or plane == 'zx':\\n labels = ('x [um]', 'z [um]', quantity, title)\\n if self.conf['General']['save_plots']:\\n p = os.path.join(sim_dir,\\n '%s_plane_2d_xz_pval%s.png' % (quantity,\\n str(pval)))\\n self.heatmap2d(x, z, cs, labels, plane, pval,\\n save_path=p, show=show, draw=draw, fixed=fixed)\\n elif plane == 'xy' or plane == 'yx':\\n labels = ('y [um]', 'x [um]', quantity, title)\\n if self.conf['General']['save_plots']:\\n p = os.path.join(sim_dir,\\n '%s_plane_2d_xy_pval%s.png' % (quantity,\\n str(pval)))\\n self.heatmap2d(x, y, cs, labels, plane, pval,\\n save_path=p, show=show, draw=draw, fixed=fixed)\",\n \"def slice_explorer(data, cmap='gray'):\\n data_len = len(data)\\n\\n @interact(plane=(0, data_len-1), continuous_update=False)\\n def display_slice(plane=data_len/2):\\n fig, axis = plt.subplots(figsize=(20, 7))\\n axis_3d = fig.add_subplot(133, projection='3d')\\n show_plane(axis, data[plane], title='Plane {}'.format(plane), cmap=cmap)\\n slice_in_3d(axis=axis_3d, shape=data.shape, plane=plane)\\n plt.show()\\n\\n return display_slice\",\n \"def p(self):\\n return 'Plane'\",\n \"def project_point_plane(point, plane):\\n base, normal = plane\\n normal = normalize_vector(normal)\\n vector = subtract_vectors(point, base)\\n snormal = scale_vector(normal, dot_vectors(vector, normal))\\n return subtract_vectors(point, snormal)\",\n \"def PlotAirplane():\\n airplane = vtkInterface.PolyData(planefile)\\n airplane.Plot()\",\n \"def get_projection_point(self, point, plane, test=False):\\n return point_on_plane_projection(point, plane, test=test)\",\n \"def SetPlaneMode(self, *args):\\n return _ShapeUpgrade.ShapeUpgrade_ConvertSurfaceToBezierBasis_SetPlaneMode(self, *args)\",\n \"def LoadAirplane():\\n return vtkInterface.PolyData(planefile)\",\n \"def color_plane_png(plane, color, is_normalized):\\n plane = plane.copy()\\n cutoff = np.array([200, 200, 200])\\n if is_normalized:\\n cutoff = cutoff.astype(np.float32) / 255.0\\n black_indices = np.all((plane[:, :, :3] <= cutoff), axis=2)\\n plane[black_indices, :3] = color\\n return plane\",\n \"def changeClippingPlane(self):\\n dir = gp_Dir(0., 0., 1.)\\n checkedButton = self.ui.buttonGroup.checkedButton()\\n if checkedButton == self.ui.xRadioButton:\\n dir = gp_Dir(1., 0., 0.)\\n elif checkedButton == self.ui.yRadioButton:\\n dir = gp_Dir(0., 1., 0.)\\n elif checkedButton == self.ui.zRadioButton:\\n dir = gp_Dir(0., 0., 1.)\\n self._surface.UpdateClippingPlane(dir)\",\n \"def show_plane(axis, plane, cmap=\\\"gray\\\", title=None):\\n axis.imshow(plane, cmap=cmap)\\n axis.set_xticks([])\\n axis.set_yticks([])\\n\\n if title:\\n axis.set_title(title)\\n\\n return None\",\n \"def slice_in_3d(axis, shape, plane):\\n Z = np.array([[0, 0, 0],\\n [1, 0, 0],\\n [1, 1, 0],\\n [0, 1, 0],\\n [0, 0, 1],\\n [1, 0, 1],\\n [1, 1, 1],\\n [0, 1, 1]])\\n\\n Z = Z * shape\\n\\n r = [-1, 1]\\n\\n X, Y = np.meshgrid(r, r)\\n\\n # plotting vertices\\n axis.scatter3D(Z[:, 0], Z[:, 1], Z[:, 2])\\n\\n # list of sides' polygons of figure\\n verts = [[Z[0], Z[1], Z[2], Z[3]],\\n [Z[4], Z[5], Z[6], Z[7]],\\n [Z[0], Z[1], Z[5], Z[4]],\\n [Z[2], Z[3], Z[7], Z[6]],\\n [Z[1], Z[2], Z[6], Z[5]],\\n [Z[4], Z[7], Z[3], Z[0]],\\n [Z[2], Z[3], Z[7], Z[6]]]\\n\\n # plotting sides\\n axis.add_collection3d(\\n Poly3DCollection(verts,\\n facecolors=(0, 1, 1, 0.25),\\n linewidths=1,\\n edgecolors='darkblue')\\n )\\n\\n verts = np.array([[[0, 0, 0],\\n [0, 0, 1],\\n [0, 1, 1],\\n [0, 1, 0]]])\\n verts = verts * shape\\n verts += [plane, 0, 0]\\n\\n axis.add_collection3d(\\n Poly3DCollection(verts,\\n facecolors='magenta',\\n linewidths=1,\\n edgecolors='black')\\n )\\n\\n axis.set_xlabel('plane')\\n axis.set_ylabel('col')\\n axis.set_zlabel('row')\\n\\n # auto-scale plot axes\\n scaling = np.array([getattr(axis, 'get_{}lim'.format(dim))() for dim in 'xyz'])\\n axis.auto_scale_xyz(*[[np.min(scaling), np.max(scaling)]] * 3)\\n\\n return None\",\n \"def test_selecting_points(self, data, selected_data, other_selected_data):\\n assume(\\n np.max(selected_data) < data.shape[0]\\n and np.max(other_selected_data) < data.shape[0]\\n )\\n\\n selected_data = set(selected_data)\\n other_selected_data = set(other_selected_data)\\n\\n layer = Points(data)\\n layer.mode = \\\"select\\\"\\n layer.selected_data = selected_data\\n assert layer.selected_data == selected_data\\n\\n # test switching to 3D\\n layer._slice_dims(ndisplay=3)\\n assert layer.selected_data == selected_data\\n\\n # select different points while in 3D mode\\n layer.selected_data = other_selected_data\\n assert layer.selected_data == other_selected_data\\n\\n # selection should persist when going back to 2D mode\\n layer._slice_dims(ndisplay=2)\\n assert layer.selected_data == other_selected_data\\n\\n # selection should persist when switching between between select and pan_zoom\\n layer.mode = \\\"pan_zoom\\\"\\n assert layer.selected_data == other_selected_data\\n layer.mode = \\\"select\\\"\\n assert layer.selected_data == other_selected_data\\n\\n # add mode should clear the selection\\n layer.mode = \\\"add\\\"\\n assert layer.selected_data == set()\",\n \"def fadePlane(self):\\n global circle_group\\n circle_group = VGroup()\\n\\n self.play(FadeOut(number_plane_1))\\n\\n circle_group.add(circ_main, dot_circ, line_circ, dot_center,\\n graph_upper, graph_lower,\\n radius_horiz, radius_horiz_end_dot, radius_ang, radius_ang_end_dot,\\n central_angle, central_angle_label,\\n small_tangent, small_tangent_end_dot ,\\n dot_circ_copy, dropped_dot, dropped_perp, radius_horiz_ext,\\n ptA, ptB, ptC, ptD, ptE)\\n \\n # self.play(circle_group.animate.shift(LEFT*5))\",\n \"def GetPlaneMode(self, *args):\\n return _ShapeUpgrade.ShapeUpgrade_ConvertSurfaceToBezierBasis_GetPlaneMode(self, *args)\",\n \"def plot_plane(unit_normal, x_array, y_array, fore):\\n # print'unit normal = ', unit_normal\\n z = (((unit_normal[0] * (fore[0] - x_array)) + (unit_normal[1] * (fore[1] - y_array))) / unit_normal[2]) + fore[2]\\n # print 'plane numbers\\\\n', z\\n return z\",\n \"def get_plane_of_points(\\n self,\\n normal_vector=\\\"z\\\",\\n planar_coordinate=None,\\n ):\\n # Get results vectors\\n if (normal_vector == \\\"z\\\"):\\n x_flat = self.floris.grid.x_sorted_inertial_frame[0, 0].flatten()\\n y_flat = self.floris.grid.y_sorted_inertial_frame[0, 0].flatten()\\n z_flat = self.floris.grid.z_sorted_inertial_frame[0, 0].flatten()\\n else:\\n x_flat = self.floris.grid.x_sorted[0, 0].flatten()\\n y_flat = self.floris.grid.y_sorted[0, 0].flatten()\\n z_flat = self.floris.grid.z_sorted[0, 0].flatten()\\n u_flat = self.floris.flow_field.u_sorted[0, 0].flatten()\\n v_flat = self.floris.flow_field.v_sorted[0, 0].flatten()\\n w_flat = self.floris.flow_field.w_sorted[0, 0].flatten()\\n\\n # Create a df of these\\n if normal_vector == \\\"z\\\":\\n df = pd.DataFrame(\\n {\\n \\\"x1\\\": x_flat,\\n \\\"x2\\\": y_flat,\\n \\\"x3\\\": z_flat,\\n \\\"u\\\": u_flat,\\n \\\"v\\\": v_flat,\\n \\\"w\\\": w_flat,\\n }\\n )\\n if normal_vector == \\\"x\\\":\\n df = pd.DataFrame(\\n {\\n \\\"x1\\\": y_flat,\\n \\\"x2\\\": z_flat,\\n \\\"x3\\\": x_flat,\\n \\\"u\\\": u_flat,\\n \\\"v\\\": v_flat,\\n \\\"w\\\": w_flat,\\n }\\n )\\n if normal_vector == \\\"y\\\":\\n df = pd.DataFrame(\\n {\\n \\\"x1\\\": x_flat,\\n \\\"x2\\\": z_flat,\\n \\\"x3\\\": y_flat,\\n \\\"u\\\": u_flat,\\n \\\"v\\\": v_flat,\\n \\\"w\\\": w_flat,\\n }\\n )\\n\\n # Subset to plane\\n # TODO: Seems sloppy as need more than one plane in the z-direction for GCH\\n if planar_coordinate is not None:\\n df = df[np.isclose(df.x3, planar_coordinate)] # , atol=0.1, rtol=0.0)]\\n\\n # Drop duplicates\\n # TODO is this still needed now that we setup a grid for just this plane?\\n df = df.drop_duplicates()\\n\\n # Sort values of df to make sure plotting is acceptable\\n df = df.sort_values([\\\"x2\\\", \\\"x1\\\"]).reset_index(drop=True)\\n\\n return df\",\n \"def plane_distance(p, plane):\\n x, y, z = p\\n A, B, C, D = plane\\n return A*x + B*y + C*z + D\",\n \"def __init__(self, obj, plane):\\n self.obj = obj\\n self.plane = plane\\n self.plane_origin = plane[0]\\n self.plane_normal = plane[1]\\n self.distance_from_plane = np.dot((self.obj.vectors-self.plane[0]),\\n self.plane[1])\\n self.slice_points = []\\n\\n self.calculate_points()\\n \\n return None\",\n \"def topo_plane_paramEval(self, param):\\n # Create an empty numpy array with the same number as pixels as the real data.\\n self.topo_plane_fit_data = np.zeros((self.y_res, self.x_res))\\n for y in range(0, self.y_res): # Iterate over the y-axis pixels.\\n for x in range(0, self.x_res): # Iterate over the x-axis pixels.\\n self.topo_plane_fit_data[y, x] = param[0]*x + param[1]*y + param[2] # Generate plane value.\\n return self.topo_plane_fit_data # Return entire array.\",\n \"def invert_point_on_plane(point, plane):\\n _, _, proj = project_point_to_plane(point, plane)\\n\\n u, v = proj[0][1]\\n return u, v\",\n \"def plane_list(self):\\n return self.__plane_list\",\n \"def test_point_on_plane(self, point, plane):\\n _dist = point.dot(plane[:3]) + plane[3]\\n if _dist <= epsilon:\\n print('OK => point on plane')\\n else:\\n print('NO => point not on plane')\",\n \"def LinePlane(line):\\n line = rhutil.coerceline(line, True)\\n rc, plane = line.TryGetPlane()\\n if not rc: return scriptcontext.errorhandler()\\n return plane\",\n \"def closest_point_on_plane(point, plane):\\n base, normal = plane\\n x, y, z = base\\n a, b, c = normalize_vector(normal)\\n x1, y1, z1 = point\\n d = a * x + b * y + c * z\\n k = (a * x1 + b * y1 + c * z1 - d) / (a**2 + b**2 + c**2)\\n return [x1 - k * a,\\n y1 - k * b,\\n z1 - k * c]\",\n \"def _constructClippingPlane( self, viewProj, positive, axis):\\r\\n if positive: scale = 1\\r\\n else: scale = -1\\r\\n\\r\\n return Plane(viewProj[0,3] + scale*viewProj[0, axis],\\r\\n viewProj[1,3] + scale*viewProj[1, axis],\\r\\n viewProj[2,3] + scale*viewProj[2, axis],\\r\\n viewProj[3,3] + scale*viewProj[3, axis] )\",\n \"def planes_3d(self, quantity, xplane, yplane):\\n xplane = int(xplane)\\n yplane = int(yplane)\\n # Get the scalar values\\n # Get the data on the plane with a fixed x value. These means we'll\\n # have changing (y, z) points\\n xdata = self.get_plane(quantity, 'yz', xplane)\\n # z first cuz we want y to be changing before z to correspond with the\\n # way numpy flattens arrays. Note this means y points will be in the\\n # 2nd column\\n xplanepoints = np.array(list(itertools.product(self.Z, self.Y)))\\n xdata = xdata.flatten()\\n xplanexval = np.array(list(itertools.repeat(x[xplane], len(xdata))))\\n xplanedata = np.zeros((xplanepoints.shape[0], 4))\\n xplanedata[:, 0] = xplanexval\\n xplanedata[:, 1] = xplanepoints[:, 1]\\n xplanedata[:, 2] = xplanepoints[:, 0]\\n xplanedata[:, 3] = xdata\\n # Same procedure for fixed y plane\\n ydata = self.get_plane(quantity, 'xz', yplane)\\n yplanepoints = np.array(list(itertools.product(z, x)))\\n ydata = ydata.flatten()\\n yplaneyval = np.array(list(itertools.repeat(y[yplane], len(ydata))))\\n yplanedata = np.zeros((yplanepoints.shape[0], 4))\\n yplanedata[:, 0] = yplanepoints[:, 1]\\n yplanedata[:, 1] = yplaneyval\\n yplanedata[:, 2] = yplanepoints[:, 0]\\n yplanedata[:, 3] = ydata\\n labels = ('X [um]', 'Y [um]', 'Z [um]', quantity)\\n # Now stack them vertically and plot!\\n all_data = np.vstack((xplanedata, yplanedata))\\n self.scatter3d(all_data[:, 0], all_data[:, 1], all_data[:, 2],\\n all_data[:, 3], labels, 'planes_3d')\",\n \"def plane_indexes_from(self, plane_index: int):\\r\\n if plane_index is None:\\r\\n return range(len(self.fit.tracer.planes))\\r\\n return [plane_index]\",\n \"def PlotAntsPlane():\\n\\n # load and shrink airplane\\n airplane = vtkInterface.PolyData(planefile)\\n airplane.points /= 10\\n # pts = airplane.GetNumpyPoints() # gets pointer to array\\n # pts /= 10 # shrink\\n\\n # rotate and translate ant so it is on the plane\\n ant = vtkInterface.PolyData(antfile)\\n ant.RotateX(90)\\n ant.Translate([90, 60, 15])\\n\\n # Make a copy and add another ant\\n ant_copy = ant.Copy()\\n ant_copy.Translate([30, 0, -10])\\n\\n # Create plotting object\\n plobj = vtkInterface.PlotClass()\\n plobj.AddMesh(ant, 'r')\\n plobj.AddMesh(ant_copy, 'b')\\n\\n # Add airplane mesh and make the color equal to the Y position\\n plane_scalars = airplane.points[:, 1]\\n plobj.AddMesh(airplane, scalars=plane_scalars, stitle='Plane Y\\\\nLocation')\\n plobj.AddText('Ants and Plane Example')\\n plobj.Plot()\",\n \"def mirror_point_to_plane(point, plane):\\n assert isinstance(plane, cg3d_plane.CGPlane)\\n pn, norm = plane.get_point_and_normal()\\n norm.normalize()\\n return point - 2.0 * ((point - pn) * norm) * norm\",\n \"def project_points_plane(points, plane):\\n return [project_point_plane(point, plane) for point in points]\",\n \"def _getDockColor(self, plane):\\n color = (0,0,0)\\n if plane.zAxis != -1:\\n color = self.globalAxis[plane.zAxis].color[0:3]\\n return color\",\n \"def __getPlaneName(self):\\n item = self._item()\\n planeNormal = item.getNormal() if item is not None else None\\n\\n for name, normal in self._PLANES.items():\\n if numpy.array_equal(planeNormal, normal):\\n return name\\n return '-'\",\n \"def get_data_on_horizontal_plane(self, varname, record, plane_number):\\n if self.get_mesh_dimension() != 3:\\n raise TelemacException(\\\"Action possible only on 3d mesh\\\")\\n\\n values = self.get_data_value(varname, record)\\n if plane_number < 0 or plane_number >= self.nplan:\\n raise TelemacException(\\\\\\n 'Wrong plane number {} should be in [0, {}]'\\\\\\n .format(plane_number, self.nplan-1))\\n start = plane_number*self.npoin2\\n end = (plane_number+1)*self.npoin2\\n extracted_values = values[start:end]\\n\\n return extracted_values\",\n \"def create_plane(self):\\n\\n # First we calculate our point increment for both the x and y values\\n inc_x = (self.xmax - self.xmin)/(self.xlen - 1)\\n inc_y = (self.ymax - self.ymin)/(self.ylen - 1)\\n\\n # This for-loop will add every x-value with every y-value, saving the values column wise\\n # i.e. (-10,-10), (-10,-9), (-10.-8),...,(-10,n) for n = our y-values.\\n # store these combinations into a list, and add that to our plane. \\n # The nested loop will then traverse again and will get the combinations for the next x-value.\\n # The loop will continue until all x-values and y-value combinations are added to our plane.\\n for y in range(0, self.ylen + 1):\\n temp_list = []\\n for x in range(0, self.xlen + 1):\\n temp_list.append(self.f((self.xmin + x*inc_x) + (self.ymin + y*inc_y)*1j))\\n self.plane.append(temp_list)\",\n \"def test_CoordinatePlane(self):\\n origin = np.random.randn(3)\\n normal = np.random.randn(3)\\n up_vector = np.random.randn(3)\\n plane = shapes_nd.Plane(origin, normal)\\n cplane = shapes_3d.CoordinatePlane(origin, normal, up_vector)\\n \\n np.testing.assert_almost_equal(cplane.dim, plane.dim)\\n np.testing.assert_almost_equal(cplane.origin, plane.origin)\\n np.testing.assert_almost_equal(cplane.normal, plane.normal)\\n \\n p3 = [0, 1, 0]\\n c, d = cplane.project_point(p3, ret_dist=True)\\n np.testing.assert_almost_equal(p3, cplane.revert_projection(c, d))\\n p3 = np.random.randn(5, 3)\\n c, d = cplane.project_point(p3, ret_dist=True)\\n np.testing.assert_almost_equal(p3, cplane.revert_projection(c, d))\",\n \"def planeIndex(plane, center = False):\\n return (planeBase(center = center) * np.array(plane)).sum()\",\n \"def __init__(self,functions):\\n Plane.__init__(self)\\n self.functions=functions\\n self.colors=([RED,BLUE,GREEN,YELLOW]+[window.randomColor() for i in range(len(functions)-4)])[:len(functions)]\",\n \"def compare_plane_data(pd1, pd2):\\n raise NotImplementedError\",\n \"def include_cut_poly_array(self, planes, fix_pts):\\n planeActors = []\\n\\n for i in range(3):\\n # get plane coefficients\\n a = planes[i][0]\\n b = planes[i][1]\\n c = planes[i][2]\\n\\n # create vtk plane object\\n VTKplane = vtk.vtkPlane()\\n VTKplane.SetNormal(a, b, c)\\n if fix_pts[0] == 'var': # for variability test\\n VTKplane.SetOrigin(self.epi_apex_node)\\n else: # for foreshortening test\\n VTKplane.SetOrigin(fix_pts[1+i])\\n\\n # create cutter\\n cutEdges = vtk.vtkCutter()\\n cutEdges.SetInputData(self.endo_poly) # always cut through endo\\n cutEdges.SetCutFunction(VTKplane)\\n cutEdges.GenerateCutScalarsOn()\\n cutEdges.GenerateTrianglesOn()\\n cutEdges.SetValue(0, 0.5)\\n\\n # create strips # just for output purposes\\n cutStrips = vtk.vtkStripper()\\n cutStrips.SetInputConnection(cutEdges.GetOutputPort())\\n cutStrips.Update()\\n\\n # get polydata from strips (just for output purposes)\\n cutPoly = vtk.vtkPolyData()\\n cutPts = cutStrips.GetOutput().GetPoints()\\n cutPoly.SetPoints(cutPts)\\n cutPoly.SetPolys(cutStrips.GetOutput().GetLines())\\n\\n cutterMapper = vtk.vtkPolyDataMapper()\\n cutterMapper.SetInputConnection(cutEdges.GetOutputPort())\\n cutterMapper.ScalarVisibilityOff()\\n\\n # create plane actor\\n planeActor = vtk.vtkActor()\\n planeActor.SetMapper(cutterMapper)\\n planeActor.GetProperty().SetColor(self.plane_colors[i])\\n planeActor.GetProperty().SetLineWidth(6)\\n\\n # store the actors of the specific planes to add later into 1 renderer\\n planeActors.append(planeActor)\\n\\n return planeActors\",\n \"def plane_fit(points):\\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\\n assert points.shape[0] <= points.shape[1], \\\"There are only {} points in {} dimensions.\\\".format(points.shape[1],\\n points.shape[0])\\n ctr = points.mean(axis=1)\\n x = points - ctr[:, np.newaxis]\\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\\n return ctr, svd(M)[0][:, -1]\",\n \"def __init__(self, graphics, plane):\\n # screen / plane\\n self.graphics = graphics\\n\\n self.view = [graphics.screen_width, graphics.screen_height]\\n self.plane = list(plane)\\n self.recalculate()\\n # camera\\n self.anchor = None\\n self.pan = False # smooth scroll\\n self.find_time = 0.5 # seconds\\n self.pan_speed = 50.0 # pos/sec\\n self.last_time = time.time()\",\n \"def WritePlane(self):\\n if not self.__train:\\n print('ERROR: Must use Train before WritePlane')\\n sys.exit(-1)\\n if not self.__openPlaneO:\\n print('ERROR: Must use OpenPlaneO before WritePlane')\\n sys.exit(-1)\\n\\n # Defines angular dimensions\\n self.__nc_RSoft_O.createDimension('type', self.__n_type)\\n\\n # Defines variables\\n if self.__containsRadial:\\n rad_plane_id = self.__nc_RSoft_O.createVariable(\\\\\\n 'radial_plane', 'f4', \\\\\\n ('type','radial_structure_functions'))\\n rad_plane_id[:] = self.radial_plane\\n if self.__containsAngular:\\n ang_plane_id = self.__nc_RSoft_O.createVariable(\\\\\\n 'angular_plane', 'f4', \\\\\\n ('type','angular_structure_functions'))\\n ang_plane_id[:] = self.angular_plane\\n intercept_id_O = self.__nc_RSoft_O.createVariable(\\\\\\n 'intercept', 'f4', ('type'))\\n intercept_id_O[:] = self.intercept\",\n \"def project_onto_plane(vect):\\n x, y, z = vect\\n \\n return (x, y, 0.)\",\n \"def intersect_plane(L, plane):\\n \\n # Line U, V\\n # Plane N n\\n # (VxN-nU:U.N)\\n # Note that this is in homogeneous coordinates.\\n # intersection of plane (n,p) with the line (v,p)\\n # returns point and line parameter\\n \\n \\n den = np.dot(L.w, plane.n)\\n \\n if abs(den) > (100*_eps):\\n P = -(np.cross(L.v, plane.n) + plane.p * L.w) / den\\n p = (np.cross(L.v, plane.n) - plane.p * L.w) / den\\n \\n P = L.pp\\n t = np.dot( P-p, N)\\n return namedtuple('intersect_plane', 'p t')(P, t)\\n else:\\n return None\",\n \"def addPlaneToScene(self, foot, x, y):\\r\\n #research\\r\\n profprint()\\r\\n scene = slicer.mrmlScene\\r\\n # Create model node\\r\\n model = slicer.vtkMRMLModelNode()\\r\\n model.SetScene(scene)\\r\\n model.SetName(scene.GenerateUniqueName(\\\".ObturatorPlane\\\"))\\r\\n\\r\\n planeSource = vtk.vtkPlaneSource()\\r\\n foot-=25*(x+y)\\r\\n #planeSource.SetOrigin(np.array(foot))\\r\\n planeSource.SetOrigin(list(foot))\\r\\n planeSource.SetPoint1(np.array(foot)+50*x)\\r\\n planeSource.SetPoint2(np.array(foot)+50*y)\\r\\n planeSource.Update()\\r\\n model.SetAndObservePolyData(planeSource.GetOutput())\\r\\n\\r\\n # Create display node\\r\\n modelDisplay = slicer.vtkMRMLModelDisplayNode()\\r\\n modelDisplay.SetColor(1,1,0) # yellow\\r\\n modelDisplay.SetBackfaceCulling(0)\\r\\n modelDisplay.SetScene(scene)\\r\\n scene.AddNode(modelDisplay)\\r\\n model.SetAndObserveDisplayNodeID(modelDisplay.GetID())\\r\\n\\r\\n # Add to scene\\r\\n scene.AddNode(model)\\r\\n # transform = slicer.vtkMRMLLinearTransformNode()\\r\\n # scene.AddNode(transform)\\r\\n # model.SetAndObserveTransformNodeID(transform.GetID())\\r\\n #\\r\\n # vTransform = vtk.vtkTransform()\\r\\n # vTransform.Scale(50,50,50)\\r\\n # #vTransform.RotateX(30)\\r\\n # transform.SetAndObserveMatrixTransformToParent(vTransform.GetMatrix())\\r\",\n \"def get_cut_poly_array(self, planes, angles, disp, fix_pts):\\n noPlanes = len(planes)\\n plane_storer = [] #4, 2, 3ch in this order\\n cut_poly_array = [] #4, 2, 3ch in this order\\n\\n view_type = ['4ch', '2ch', '3ch']\\n\\n for i in range(noPlanes):\\n if fix_pts[0] == 'var': # for variability test\\n origin = self.epi_apex_node\\n else: # for foreshortening test\\n origin = fix_pts[1+i]\\n\\n cutPoly_endo_epi, planeActor_endo_epi = self.get_edges_strips(planes[i], origin,\\n view_type[i], self.plane_colors[i])\\n cut_poly_array.append(cutPoly_endo_epi) # 4, 2, 3\\n plane_storer.append(planeActor_endo_epi)\\n\\n\\n # DISPLAY PURPOSES #\\n\\n # include apex_node\\n apexA = include_points(list(self.epi_apex_node), 1, 15, (0, 0, 0))\\n\\n ## create legend box ##\\n legend = vtk.vtkLegendBoxActor()\\n legend.SetNumberOfEntries(3)\\n\\n legendBox = vtk.vtkCubeSource()\\n legendBox.SetXLength(2)\\n legendBox.SetYLength(2)\\n legend.SetEntry(0, legendBox.GetOutput(), \\\"4 ch\\\", (0, 1, 0)) #green\\n legend.SetEntry(1, legendBox.GetOutput(), \\\"2 ch\\\", (0, 0, 1)) #blue\\n\\n legend.UseBackgroundOn()\\n legend.LockBorderOn()\\n legend.SetBackgroundColor(0.5, 0.5, 0.5)\\n\\n # create text box to display the angles ..\\n textActor = vtk.vtkTextActor()\\n textActor.SetInput(\\\"4ch = \\\" + str(angles[0])\\n + \\\"\\\\n\\\" + \\\"2ch = \\\" + str(angles[1]))\\n textActor.SetPosition2(10, 40)\\n textActor.GetTextProperty().SetFontSize(24)\\n textActor.GetTextProperty().SetColor(1.0, 0.0, 0.0)\\n\\n # display x-y-z actor\\n axes = get_axes_actor([80,80,80], [0,0,0])\\n\\n # lets display the rv_dir\\n rv_dir_act = include_points(list(60*self.rv_dir), 1, 15, (1, 0 ,1))\\n\\n ren = vtk.vtkRenderer()\\n ren.SetBackground(1.0, 1.0, 1.0)\\n ren.AddActor(self.meshActor)\\n\\n # for plAct in [item for sublist in plane_storer for item in sublist]: # flatten list\\n # ren.AddActor(plAct)\\n\\n ren.AddActor(plane_storer[0][0]) # 4ch endo\\n ren.AddActor(plane_storer[0][1]) # 4ch epi\\n ren.AddActor(plane_storer[1][0]) # 2ch endo\\n ren.AddActor(plane_storer[1][1]) # 2ch epi\\n # ren.AddActor(plane_storer[2][0]) # 3ch endo\\n # ren.AddActor(plane_storer[2][1]) # 3ch epi\\n\\n self.meshActor.GetProperty().SetOpacity(1.0)\\n ren.AddActor(legend)\\n ren.AddActor2D(textActor)\\n ren.AddActor(axes)\\n ren.AddActor(apexA)\\n ren.AddActor(rv_dir_act)\\n\\n if disp:\\n vtk_show(ren)\\n\\n return cut_poly_array, plane_storer, ren\",\n \"def plane(*args, length: float=0.0, name: AnyStr=\\\"\\\", position: List[float, float, float]=None,\\n rotation: List[float, float, float]=None, size: float=0.0, width: float=0.0,\\n **kwargs)->AnyStr:\\n pass\",\n \"def plane_fit(points):\\n import numpy as np\\n from numpy.linalg import svd\\n\\n points = np.reshape(\\n points, (np.shape(points)[0], -1)\\n ) # Collapse trialing dimensions\\n assert (\\n points.shape[0] <= points.shape[1]\\n ), \\\"There are only {} points in {} dimensions.\\\".format(\\n points.shape[1], points.shape[0]\\n )\\n ctr = points.mean(axis=1)\\n x = points - ctr[:, np.newaxis]\\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\\n return ctr, svd(M)[0][:, -1]\",\n \"def isInPlane(self, p) -> bool:\\n # Testing for zero is done with math.isclose, to avoid rounding/floating point errors.\\n # Since we are testing near zero, abs_tol is set to 1e-09\\n return math.isclose(\\n math.fabs(\\n dot(\\n self.normal(),\\n Vector.connect(p.x, p.y, p.z, self.p0.x, self.p0.y, self.p0.z),\\n )\\n ),\\n 0,\\n rel_tol=1e-09,\\n abs_tol=1e-09,\\n )\",\n \"def plane_scale(self, scale):\\n cmd = '{}testPlaneScale {}'.format(self.console, scale)\\n self.write_command(cmd)\",\n \"def get_transformable_plane(self, x_range = None, y_range = None):\\n plane_config = dict(self.plane_config)\\n shift_val = ORIGIN\\n if x_range is not None:\\n x_min, x_max = x_range\\n plane_config[\\\"x_radius\\\"] = x_max - x_min\\n shift_val += (x_max+x_min)*RIGHT/2.\\n if y_range is not None:\\n y_min, y_max = y_range\\n plane_config[\\\"y_radius\\\"] = y_max - y_min\\n shift_val += (y_max+y_min)*UP/2.\\n plane = ComplexPlane(**plane_config)\\n plane.shift(shift_val)\\n if self.use_multicolored_plane:\\n self.paint_plane(plane)\\n return plane\",\n \"def planeFit(points):\\n\\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\\n assert points.shape[0] <= points.shape[1], \\\"There are only {} points in {} dimensions.\\\".format(points.shape[1], points.shape[0])\\n ctr = points.mean(axis=1)\\n x = points - ctr[:,np.newaxis]\\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\\n\\n return ctr, np.linalg.svd(M)[0][:,-1]\",\n \"def plane_update(self):\\n self.plane.update()\",\n \"def bbPlane(selection='(all)', color='gray', transp=0.3, state=-1, name=None, quiet=1):\\n from pymol.cgo import BEGIN, TRIANGLES, COLOR, VERTEX, END\\n from pymol import cgo\\n from chempy import cpv\\n\\n # format input\\n transp = float(transp)\\n state, quiet = int(state), int(quiet)\\n if name is None:\\n name = cmd.get_unused_name(\\\"backbonePlane\\\")\\n\\n if state < 0:\\n state = cmd.get_state()\\n elif state == 0:\\n for state in range(1, cmd.count_states(selection) + 1):\\n bbPlane(selection, color, transp, state, name, quiet)\\n return\\n\\n AAs = []\\n coords = dict()\\n\\n # need hydrogens on peptide nitrogen\\n cmd.h_add('(%s) and n. N' % selection)\\n\\n # get the list of residue ids\\n for obj in cmd.get_object_list(selection):\\n sel = obj + \\\" and (\\\" + selection + \\\")\\\"\\n for a in cmd.get_model(sel + \\\" and n. CA\\\", state).atom:\\n key = '/%s/%s/%s/%s' % (obj, a.segi, a.chain, a.resi)\\n AAs.append(key)\\n coords[key] = [a.coord, None, None]\\n for a in cmd.get_model(sel + \\\" and n. O\\\", state).atom:\\n key = '/%s/%s/%s/%s' % (obj, a.segi, a.chain, a.resi)\\n if key in coords:\\n coords[key][1] = a.coord\\n for a in cmd.get_model(sel + \\\" and ((n. N extend 1 and e. H) or (r. PRO and n. CD))\\\", state).atom:\\n key = '/%s/%s/%s/%s' % (obj, a.segi, a.chain, a.resi)\\n if key in coords:\\n coords[key][2] = a.coord\\n\\n # need at least two amino acids\\n if len(AAs) <= 1:\\n print(\\\"ERROR: Please provide at least two amino acids, the alpha-carbon on the 2nd is needed.\\\")\\n return\\n\\n # prepare the cgo\\n obj = [\\n BEGIN, TRIANGLES,\\n ]\\n\\n for res in range(0, len(AAs) - 1):\\n curIdx, nextIdx = str(AAs[res]), str(AAs[res + 1])\\n\\n # populate the position array\\n pos = [coords[curIdx][0], coords[curIdx][1], coords[nextIdx][2], coords[nextIdx][0]]\\n\\n # if the data are incomplete for any residues, ignore\\n if None in pos:\\n if not quiet:\\n print(' bbPlane: peptide bond %s -> %s incomplete' % (curIdx, nextIdx))\\n continue\\n\\n if cpv.distance(pos[0], pos[3]) > 4.0:\\n if not quiet:\\n print(' bbPlane: %s and %s not adjacent' % (curIdx, nextIdx))\\n continue\\n\\n normal = cpv.normalize(cpv.cross_product(\\n cpv.sub(pos[1], pos[0]),\\n cpv.sub(pos[2], pos[0])))\\n\\n obj.append(cgo.NORMAL)\\n obj.extend(normal)\\n\\n # need to order vertices to generate correct triangles for plane\\n if cpv.dot_product(cpv.sub(pos[0], pos[1]), cpv.sub(pos[2], pos[3])) < 0:\\n vorder = [0, 1, 2, 2, 3, 0]\\n else:\\n vorder = [0, 1, 2, 3, 2, 1]\\n\\n # fill in the vertex data for the triangles;\\n for i in vorder:\\n obj.append(VERTEX)\\n obj.extend(pos[i])\\n\\n # finish the CGO\\n obj.append(END)\\n\\n # update the UI\\n cmd.load_cgo(obj, name, state, zoom=0)\\n cmd.set(\\\"cgo_transparency\\\", transp, name)\\n cmd.color(color, name)\",\n \"def xyplane(draw, r, x, shift = np.array([1000, 1000, 0, 0]), scale = 300):\\n extent = 2.8\\n pln = np.array(\\n [\\n [x,-extent,0],\\n [x,extent,0],\\n [x,extent,extent*2],\\n [x,-extent,extent*2]\\n ]\\n )\\n pln = np.dot(pln,np.transpose(r))\\n pln = pln * scale + shift[:3]\\n draw.polygon([(pln[0][0],pln[0][1]),(pln[1][0],pln[1][1]),(pln[2][0],pln[2][1]),(pln[3][0],pln[3][1])], (0,102,255,70))\",\n \"def project_plane_to_2d(xyz_arr, img, center, dist_thresh):\\n\\tplane_img = np.zeros(img.size)\\n\\tplane_img[xyz_arr[:, 2] > dist_thresh + center[2]] = 1\\n\\n\\tplane_img = np.uint8(np.reshape(plane_img, (424, 512)) * 255) # reshape to match depth data and convert to uint8\\n\\tplane_img = np.uint8(\\n\\t\\t(np.ones((424, 512)) * 255) - plane_img) # invert img so pixel value corresponds to NOT ground plane\\n\\tret, plane_img = cv2.threshold(plane_img, 0, 255,\\n\\t\\t\\t\\t\\t\\t\\t\\t cv2.THRESH_BINARY) # filter points that are probaly not ground plane\\n\\tplane_img = cv2.subtract(img, plane_img)\\n\\treturn plane_img\",\n \"def plot_sag_plane(self, P0=None, sag_pl=None):\\n if P0 is None: P0 = np.array([0,0,0])\\n if sag_pl is None: sag_pl = self.sp\\n norm, d = sag_pl[:3], sag_pl[3]\\n import matplotlib.pyplot as plt\\n from mpl_toolkits.mplot3d import Axes3D\\n plt.ion()\\n # create x,y\\n xypts = 10\\n xrng = 300\\n yrng = 130\\n xrng_mesh = np.linspace(P0[0], P0[0]-xrng, xypts)\\n yrng_mesh = np.linspace(P0[1]-yrng/2., P0[1]+yrng, xypts)\\n xx, yy = np.meshgrid(xrng_mesh, yrng_mesh)\\n # calculate corresponding z\\n zz = -1 * (norm[0] * xx + norm[1] * yy + d) / norm[2]\\n # plot the surface\\n self.fig = plt.figure()\\n self.fig_ax = self.fig.add_subplot(111, projection='3d')\\n self.fig_ax.plot_wireframe(xx, yy, zz, color='gray')\\n #ax.quiver(P0[0], P0[1], norm[0], norm[1])\\n self.fig_ax.set_xlabel('X')\\n self.fig_ax.set_ylabel('Y')\\n self.fig_ax.set_zlabel('Z')\\n self.fig_ax.set_zlim(P0[2]-xrng, P0[2]+yrng)\\n plt.show()\",\n \"def visualize_scan(self):\\n fig = plt.figure()\\n ax = fig.add_subplot(111, projection='3d')\\n ax.scatter(self.p1_points[:, 0], self.p1_points[:, 1], self.p1_points[:, 2], c='r')\\n ax.scatter(self.p2_points[:, 0], self.p2_points[:, 1], self.p2_points[:, 2], c='g')\\n ax.scatter(self.p3_points[:, 0], self.p3_points[:, 1], self.p3_points[:, 2], c='b')\\n ax.scatter(self.p4_points[:, 0], self.p4_points[:, 1], self.p4_points[:, 2])\\n\\n ax.set_xlabel('x')\\n ax.set_ylabel('y')\\n ax.set_zlabel('z')\\n plt.show()\",\n \"def planeFit(points):\\n import numpy as np\\n from numpy.linalg import svd\\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\\n assert points.shape[0] <= points.shape[1], \\\"There are only {} points in {} dimensions.\\\".format(points.shape[1], points.shape[0])\\n ctr = points.mean(axis=1)\\n x = points - ctr[:,np.newaxis]\\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\\n return ctr, svd(M)[0][:,-1]\",\n \"def PCA_vis(select_PCA_features, player_attributes):\\n x = player_attributes.loc[:, select_PCA_features].values\\n\\n # Standardizing the features\\n x = StandardScaler().fit_transform(x)\\n\\n # perform 3 component PCA\\n pca = PCA(n_components=3)\\n principalComponents = pca.fit_transform(x)\\n principalDf = pd.DataFrame(\\n data=principalComponents,\\n columns=[\\n \\\"principal component 1\\\",\\n \\\"principal component 2\\\",\\n \\\"principal component 3\\\",\\n ],\\n )\\n\\n # plot players dataset projection on three principal components\\n # %matplotlib notebook\\n\\n fig = plt.figure(figsize=(8, 8))\\n ax = fig.add_subplot(1, 1, 1, projection=\\\"3d\\\")\\n ax.set_title(\\\"3 component PCA\\\", fontsize=30)\\n\\n # plot first k players' info along principal components\\n k = 4000\\n ax.scatter(\\n principalDf.loc[:k, \\\"principal component 1\\\"],\\n principalDf.loc[:k, \\\"principal component 2\\\"],\\n principalDf.loc[:k, \\\"principal component 3\\\"],\\n s=1,\\n )\\n\\n ax.set_xlabel(\\\"Principal Component 1\\\", fontsize=15)\\n ax.set_ylabel(\\\"Principal Component 2\\\", fontsize=15)\\n ax.set_zlabel(\\\"Principal Component 3\\\", fontsize=15)\\n plt.show()\\n\\n return principalDf\",\n \"def vplane(self, fig=None):\\n #TODO more general multi-axis layout...\\n figsize = (9, 6.5) # good for letter paper\\n if fig is None: fig = plt.figure(figsize=figsize)\\n else: fig.set_size_inches(*figsize)\\n axkw = dict(frameon = True)\\n left, width = 0.075, 0.6\\n bh = 0.11\\n pad = 0.04\\n depth_ax = fig.add_axes((left, 6*pad+4.5*bh, width, bh*2), **axkw)\\n axkw.update(dict(sharex = depth_ax))\\n pitch_ax = fig.add_axes((left, 5*pad+3.5*bh, width, bh), **axkw)\\n buoyancy_ax = fig.add_axes((left, 4*pad+2.5*bh, width, bh), **axkw)\\n mass_ax = fig.add_axes((left, 3*pad + 1.5*bh, width, bh), **axkw)\\n control_surface_ax = fig.add_axes((left, 2*pad + bh/2, width, bh), **axkw)\\n control_mode_ax = fig.add_axes((left, pad, width, bh/2), **axkw)\\n # TODO adjust scale and coverage for each axes\\n # TODO do this again now that middle labels are removed\\n\\n self.plot_timeseries('depth', '-', axes=depth_ax)\\n self.plot_timeseries('platform_pitch_angle', axes=pitch_ax)\\n self.plot_timeseries('platform_mass_position', axes=mass_ax)\\n self.plot_timeseries('platform_buoyancy_position', axes=buoyancy_ax)\\n self.plot_timeseries('platform_elevator_angle', axes=control_surface_ax)\\n # TODO Include another panel with VerticalControl mode (iff present)\\n\\n # TODO only if engineering data is requested...\\n ### add to depth axes ###\\n depth_science = {\\n 'Depth_Keller/depth': 'c-',\\n 'CTD_NeilBrown/depth': 'k-',\\n 'Depth_MSI_US300/depth': 'm-'}\\n for k, v in depth_science.items():\\n try: self.plot_timeseries(k, v, axes=depth_ax)\\n except: print('no {0}'.format(k))\\n\\n depth_engineering = {\\n 'VerticalControl/smoothDepthInternal': 'r-',\\n 'VerticalControl/depthCmd': 'g-',\\n 'VerticalControl/depthErrorInternal': 'g:'}\\n for k, v in depth_engineering.items():\\n try: self.plot_timeseries(k, v, axes=depth_ax)\\n except: print('no {0}'.format(k))\\n # TODO only if sw debug flag is set \\n depth_rate_engineering = {\\n 'VerticalControl/depthRateCmd': 'gray',\\n 'VerticalControl/depth_rate': 'gray', # XXX why same color?\\n }\\n for k, v in depth_rate_engineering.items():\\n try: \\n self.plot_timeseries(k, vi, axes=depth_ax, \\n convert=oalib.make_multiplier(100))\\n except: print('no {0}'.format(k))\\n ### add to pitch axes ###\\n pitch_engineering = {\\n 'AHRS_sp3003D/platform_pitch_angle': 'k-', \\n 'DVL_micro/platform_pitch_angle': 'm-',\\n 'AHRS_3DMGX3/platform_pitch_angle': 'c-',\\n 'InternalSim/platform_pitch_angle': ':r',\\n }\\n for k, v in pitch_engineering.items():\\n try: self.plot_timeseries(k, v, axes=pitch_ax)\\n except: print('no {0}'.format(k))\\n ### add to mass axes ###\\n mass_engineering = {\\n 'VerticalControl/massPositionAction': 'g-', \\n 'VerticalControl/massIntegralInternal': 'c-',\\n 'MassServo/platform_mass_position': 'r-',\\n #'VerticalControl/massPitchErrorInternal': ':r',\\n }\\n for k, v in mass_engineering.items():\\n try: self.plot_timeseries(k, v, axes=mass_ax)\\n except: print('no {0}'.format(k))\\n ### add to buoyancy axes ###\\n buoyancy_engineering = {\\n 'VerticalControl/buoyancyAction': 'm-',\\n 'BuoyancyServo/platform_buoyancy_position': 'b-',\\n }\\n for k, v in buoyancy_engineering.items():\\n try: \\n self.plot_timeseries(k, v,\\n# convert=oalib.make_multiplier(-10), \\n axes=buoyancy_ax)\\n except: print('no {0}'.format(k))\\n ### add to control surface axes ###\\n control_surface_engineering = {\\n 'VerticalControl/elevatorAngleAction': 'm-', \\n 'VerticalControl/elevatorIntegralInternal': 'm:',\\n 'ElevatorServo/platform_elevator_angle': 'c-',\\n }\\n for k, v in control_surface_engineering.items():\\n try: \\n self.plot_timeseries(k, v, convert = np.rad2deg, \\n axes=control_surface_ax)\\n except: print('no {0}'.format(k))\\n \\n\\n # TODO only if supporting data is requested\\n ### add other supporting data ###\\n try: self.plot_timeseries('CTD_NeilBrown/depth', 'k-', axes=depth_ax)\\n except: print('no CTD_NeilBrown/depth')\\n try: self.plot_timeseries('Depth_MSI_US300', 'm-', axes=depth_ax)\\n except: print('no Depth_MSI_US300')\\n\\n\\n ### print additional information ###\\n buoyancyNeutral = ('Config/Control/buoyancyNeutral',\\n 'Config/Servo/buoyancyNeutral')\\n for s in buoyancyNeutral:\\n try:\\n print('{0} = {1} {2}'.format(s, self[s+'/value'], self[s+'/units']))\\n except:\\n print('{0} not found'.format(s))\\n \\n# VertMd(0=N/A,1=Surf,2=Dep,3=DepRt,4=Pit0,5=Pit,6=PitRt,7=M&E,8=Flt),\\n# VertHoldMd(0=N/A,1=Ms,2=El,3=Both)\\n try:\\n v, t = self.timeseries('VerticalControl/verticalMode')\\n oalib.plot_date_blocks(t, v, axes=control_mode_ax, colormap=mpl.cm.jet)\\n except: print('VerticalControl/verticalMode not found')\\n\\n depth_ax.invert_yaxis()\\n for ax in fig.get_axes():\\n ax.grid(True)\\n try:\\n ax.legend(loc='center left', bbox_to_anchor=(1, 0.5),\\n fontsize='small')\\n except:\\n print('uncaught exception for legend...')\\n for ax in fig.get_axes()[:-1]:\\n plt.setp(ax.get_xticklabels(), visible=False)\\n\\n depth_ax.set_title(os.path.basename(self.filename))\\n control_mode_ax.xaxis.set_major_formatter(mpl.dates.DateFormatter('%H:%M'))\\n plt.setp(control_mode_ax.get_xticklabels(), rotation=30,\\n fontsize='small')\",\n \"def test_create(self):\\n f = azplugins.restrain.plane(group=hoomd.group.all(), point=(0,0,0), normal=(1,0,0), k=2.0)\\n\\n f.set_params(k=5.0)\\n f.set_params(k=8)\\n\\n f.set_params(point=(0,0,1))\\n f.set_params(point=[0,0,1])\\n f.set_params(point=np.array([0,0,1]))\\n\\n f.set_params(normal=(0,0,1))\\n f.set_params(normal=[0,0,1])\\n f.set_params(normal=np.array([0,0,1]))\\n\\n f.set_params(point=(0,0,0), normal=(1,0,0), k=10.0)\",\n \"def add_plane(self, plane):\\n self.__plane_list.append(plane)\",\n \"def get_plane(\\n self,\\n pos=None,\\n norm=None,\\n plane=None,\\n sx=None,\\n sy=None,\\n color=\\\"lightgray\\\",\\n alpha=0.25,\\n **kwargs,\\n ):\\n axes_pairs = dict(sagittal=(0, 1), horizontal=(2, 0), frontal=(2, 1))\\n\\n if pos is None:\\n pos = self.root._mesh.centerOfMass()\\n\\n try:\\n norm = norm or self.space.plane_normals[plane]\\n except KeyError: # pragma: no cover\\n raise ValueError( # pragma: no cover\\n f\\\"Could not find normals for plane {plane}. Atlas space provides these normals: {self.space.plane_normals}\\\" # pragma: no cover\\n )\\n\\n # Get plane width and height\\n idx_pair = (\\n axes_pairs[plane]\\n if plane is not None\\n else axes_pairs[\\\"horizontal\\\"]\\n )\\n\\n bounds = self.root.bounds()\\n root_bounds = [\\n [bounds[0], bounds[1]],\\n [bounds[2], bounds[3]],\\n [bounds[4], bounds[5]],\\n ]\\n\\n wh = [float(np.diff(root_bounds[i])) for i in idx_pair]\\n if sx is None:\\n sx = wh[0]\\n if sy is None:\\n sy = wh[1]\\n\\n # return plane\\n return Actor(\\n Plane(pos=pos, normal=norm, sx=sx, sy=sy, c=color, alpha=alpha),\\n name=f\\\"Plane at {pos} norm: {norm}\\\",\\n br_class=\\\"plane\\\",\\n )\",\n \"def __init__(self, planes, cosmology):\\r\\n self.planes = planes\\r\\n self.plane_redshifts = [plane.redshift for plane in planes]\\r\\n self.cosmology = cosmology\",\n \"def plane_list(self, new_list):\\n self.__plane_list = new_list\",\n \"def __init__(self,\\n r = 1.0,\\n normal = Vector(0.0,1.0,0.0),\\n origin = Vector(0.0,0.0,0.0),\\n orientation = Vector(1.0,0.0,0.0),\\n c1 = Color(0.01,0.01,0.01),\\n c2 = Color(0.99,0.99,0.99)):\\n \\n CheckPlane.__init__(self, normal, origin, orientation, c1, c2)\\n self.origin = origin\\n self.set_orientation(orientation)\\n self.r = r\\n self.R = r ** 2.0\",\n \"def plane_shape(self) -> typing.Tuple[int, int]:\\n return self._channel_arrays[0].shape[self.y_pos], self._channel_arrays[0].shape[self.x_pos]\",\n \"def from_plane_and_radius(cls, plane, radius):\\n return cls(radius, frame=Frame.from_plane(plane))\",\n \"def planeFit(self, points):\\n pointsP = points\\n points = np.array(points).transpose()\\n points = np.reshape(points, (np.shape(points)[0], -1)) # Collapse trialing dimensions\\n ctr = points.mean(axis=1)\\n if points.shape[0] > points.shape[1]:\\n return list(ctr), self.verticalAxis()\\n x = points - ctr[:,np.newaxis]\\n M = np.dot(x, x.T) # Could also use np.cov(x) here.\\n return ctr, svd(M)[0][:,-1]\",\n \"def __copy__(self) -> 'Plane':\\n return self.__class__(self._normal, self._distance_from_origin)\",\n \"def PlaneSubtraction(data, direction='xy', xdim=20, ydim=20):\\n img = 1*data\\n dy, dx = img.shape\\n x = np.linspace(0, xdim, dx)\\n y = np.linspace(0, ydim, dy)\\n DX, DY = np.meshgrid(x, y)\\n PX = []\\n PY = []\\n\\n for i, j in zip(np.arange(dy), np.arange(dx)):\\n lx = img[i]\\n ly = img[:, j]\\n maskx = np.isnan(lx)\\n masky = np.isnan(ly)\\n\\n if len(lx[maskx]) < len(lx):\\n s = np.polyfit(x[~maskx], lx[~maskx], 1)\\n PX.append(s)\\n\\n if len(ly[masky]) < len(ly):\\n s = np.polyfit(y[~masky], ly[~masky], 1)\\n PY.append(s)\\n\\n px = np.nanmean(PX, axis=0)\\n py = np.nanmean(PY, axis=0)\\n print(\\\"x - slope: %.2e, y - slope: %.2e\\\" % (px[0], py[0]))\\n print(\\\"calculate planes\\\")\\n xplane = np.polyval(px, DX)\\n yplane = np.polyval(py, DY)\\n\\n if direction == 'x':\\n print('x plane subtraction')\\n correction = xplane\\n elif direction == 'y':\\n print('y plane subtraction')\\n correction = yplane\\n else:\\n print('x-y plane subtraction')\\n correction = xplane + yplane\\n\\n corrected = data - correction\\n corrected -= np.nanmin(corrected)\\n return corrected\",\n \"def test_select_roi():\\n _c = io.create_sample_Dataset(n_frames=5, rows=10, cols=10)\\n _c = _c.sel(x=slice(35, 70), y=slice(30, 90))\\n assert _c.u.shape == (7, 2, 5) # note the last dimension is preserved\",\n \"def figures_2d_of_planes(\\r\\n self,\\r\\n plane_index: Optional[int] = None,\\r\\n subtracted_image: bool = False,\\r\\n model_image: bool = False,\\r\\n plane_image: bool = False,\\r\\n use_source_vmax: bool = False,\\r\\n zoom_to_brightest: bool = True,\\r\\n interpolate_to_uniform: bool = False,\\r\\n ):\\r\\n\\r\\n visuals_2d = self.get_visuals_2d()\\r\\n\\r\\n visuals_2d_no_critical_caustic = self.get_visuals_2d()\\r\\n visuals_2d_no_critical_caustic.tangential_critical_curves = None\\r\\n visuals_2d_no_critical_caustic.radial_critical_curves = None\\r\\n visuals_2d_no_critical_caustic.tangential_caustics = None\\r\\n visuals_2d_no_critical_caustic.radial_caustics = None\\r\\n\\r\\n plane_indexes = self.plane_indexes_from(plane_index=plane_index)\\r\\n\\r\\n if use_source_vmax:\\r\\n self.mat_plot_2d.cmap.kwargs[\\\"vmax\\\"] = np.max(self.fit.model_images_of_planes_list[-1])\\r\\n\\r\\n for plane_index in plane_indexes:\\r\\n\\r\\n if subtracted_image:\\r\\n\\r\\n self.mat_plot_2d.plot_array(\\r\\n array=self.fit.subtracted_images_of_planes_list[plane_index],\\r\\n visuals_2d=visuals_2d_no_critical_caustic,\\r\\n auto_labels=aplt.AutoLabels(\\r\\n title=f\\\"Subtracted Image of Plane {plane_index}\\\",\\r\\n filename=f\\\"subtracted_image_of_plane_{plane_index}\\\",\\r\\n ),\\r\\n )\\r\\n\\r\\n if model_image:\\r\\n\\r\\n if self.tracer.planes[plane_index].has(cls=aa.Pixelization):\\r\\n\\r\\n # Overwrite plane_index=0 so that model image uses critical curves -- improve via config cutomization\\r\\n\\r\\n visuals_2d_model_image = self.inversion_plotter_of_plane(plane_index=0).get_visuals_2d_for_data()\\r\\n\\r\\n else:\\r\\n\\r\\n visuals_2d_model_image = visuals_2d\\r\\n\\r\\n self.mat_plot_2d.plot_array(\\r\\n array=self.fit.model_images_of_planes_list[plane_index],\\r\\n visuals_2d=visuals_2d_model_image,\\r\\n auto_labels=aplt.AutoLabels(\\r\\n title=f\\\"Model Image of Plane {plane_index}\\\",\\r\\n filename=f\\\"model_image_of_plane_{plane_index}\\\",\\r\\n ),\\r\\n )\\r\\n\\r\\n if plane_image:\\r\\n\\r\\n if not self.tracer.planes[plane_index].has(cls=aa.Pixelization):\\r\\n\\r\\n self.tracer_plotter.figures_2d_of_planes(\\r\\n plane_image=True,\\r\\n plane_index=plane_index,\\r\\n zoom_to_brightest=zoom_to_brightest\\r\\n )\\r\\n\\r\\n elif self.tracer.planes[plane_index].has(cls=aa.Pixelization):\\r\\n\\r\\n inversion_plotter = self.inversion_plotter_of_plane(\\r\\n plane_index=plane_index\\r\\n )\\r\\n\\r\\n inversion_plotter.figures_2d_of_pixelization(\\r\\n pixelization_index=0,\\r\\n reconstruction=True,\\r\\n zoom_to_brightest=zoom_to_brightest,\\r\\n interpolate_to_uniform=interpolate_to_uniform\\r\\n )\\r\\n\\r\\n if use_source_vmax:\\r\\n self.mat_plot_2d.cmap.kwargs.pop(\\\"vmax\\\")\",\n \"def edit(self, p):\\n self.poses[self.selected_point].model = p\\n self.calibration_changed()\",\n \"def svm_add_2d_hyperplane(model, ax, plotted_points):\\n X_MIN = np.min(plotted_points[:, 0])\\n X_MAX = np.max(plotted_points[:, 0])\\n Y_MIN = np.min(plotted_points[:, 1])\\n Y_MAX = np.max(plotted_points[:, 1])\\n # plot the line, the points, and the nearest vectors to the plane\\n xx, yy = np.mgrid[X_MIN:X_MAX:200j, Y_MIN:Y_MAX:200j]\\n Z = model.decision_function(np.c_[xx.ravel(), yy.ravel()])\\n Z = Z.reshape(xx.shape)\\n plot.contourf(xx, yy, Z, levels=np.linspace(\\n Z.min(), 0, 7), cmap=plot.cm.PuBu)\\n a = plot.contour(xx, yy, Z, levels=[0], linewidths=2, colors='darkred')\\n plot.contourf(xx, yy, Z, levels=[0, Z.max()], colors='palevioletred')\\n return a.collections[0]\",\n \"def set_active_perspective(self, name):\\n self.perspective_cbox.SetStringSelection(name)\\n self.enable_import()\",\n \"def is_point_on_plane(point, plane, tol=0.0):\\n d = distance_point_plane(point, plane)\\n return d <= tol\",\n \"def line_plane(l, p):\\n d = dot((p.o - l.o), p.n) / dot(l.d, p.n)\\n return l(d)\",\n \"def find_plane_eq(p1, p2, p3):\\n\\n p1 = np.asarray(p1)\\n p2 = np.asarray(p2)\\n p3 = np.asarray(p3)\\n\\n # These two vectors are in the plane\\n v1 = p3 - p1\\n v2 = p2 - p1\\n\\n # the cross product is a vector normal to the plane\\n cp = np.cross(v1, v2)\\n a, b, c = cp\\n\\n # This evaluates a * x3 + b * y3 + c * z3 which equals d\\n d = np.dot(cp, p3)\\n\\n plane_eq = np.array([a, b, c, d])\\n\\n return plane_eq\",\n \"def LinePlaneIntersection(line, plane):\\n plane = rhutil.coerceplane(plane, True)\\n line_points = rhutil.coerce3dpointlist(line, True)\\n line = Rhino.Geometry.Line(line_points[0], line_points[1])\\n rc, t = Rhino.Geometry.Intersect.Intersection.LinePlane(line, plane) \\n if not rc: return scriptcontext.errorhandler()\\n return line.PointAt(t)\",\n \"def extract_plane_index_of_profile(self, profile_name):\\r\\n for plane_index, plane in enumerate(self.planes):\\r\\n for galaxy in plane.galaxies:\\r\\n if profile_name in galaxy.__dict__:\\r\\n return plane_index\",\n \"def get_plane_drawables(self):\\n return self.plane.get_drawables()\",\n \"def setPointMode(self, mode):\\n for point in self.points:\\n point.mode = mode\",\n \"def plane_equation(p1, p2, p3):\\n a1 = p2[0] - p1[0]\\n b1 = p2[1] - p1[1]\\n c1 = p2[2] - p1[2]\\n a2 = p3[0] - p1[0]\\n b2 = p3[1] - p1[1]\\n c2 = p3[2] - p1[2]\\n a = b1 * c2 - b2 * c1\\n b = a2 * c1 - a1 * c2\\n c = a1 * b2 - b1 * a2\\n # Points are collinear\\n if (abs(a) < 1e-6) and (abs(b) < 1e-6) and (abs(c) < 1e-6):\\n return None\\n # All clear\\n d = (- a * p1[0] - b * p1[1] - c * p1[2])\\n return a, b, c, d\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.63480055","0.62466025","0.6210041","0.6181447","0.60752785","0.59501004","0.5885949","0.5844385","0.5806675","0.57641417","0.5717144","0.5657449","0.5650415","0.5615462","0.5605463","0.55464685","0.55369604","0.5516311","0.5514092","0.5510669","0.55100155","0.54709643","0.54680014","0.5427352","0.54006386","0.53856057","0.53004605","0.52668273","0.52662754","0.52640927","0.526292","0.52293146","0.51846796","0.5170561","0.5167306","0.50746065","0.5074228","0.5073328","0.5064726","0.5062183","0.50609356","0.50515","0.49915475","0.4983672","0.4974672","0.4962033","0.4956949","0.4956472","0.49249968","0.49089128","0.48954904","0.4873187","0.4848546","0.48300007","0.48166892","0.48024854","0.4781594","0.47592798","0.47518408","0.47489858","0.47457308","0.4742431","0.47273412","0.47220972","0.47100902","0.47099572","0.46993428","0.46972233","0.46960855","0.46931955","0.4683895","0.46563375","0.46513733","0.46467516","0.46449706","0.4641277","0.4625659","0.46240544","0.46228787","0.46194848","0.46194193","0.46173668","0.4616275","0.46157056","0.4611305","0.4607152","0.46022305","0.45979962","0.45763144","0.4567697","0.45661473","0.4545085","0.45436013","0.45406672","0.45380822","0.453247","0.45319444","0.45250157","0.45213696","0.45174584"],"string":"[\n \"0.63480055\",\n \"0.62466025\",\n \"0.6210041\",\n \"0.6181447\",\n \"0.60752785\",\n \"0.59501004\",\n \"0.5885949\",\n \"0.5844385\",\n \"0.5806675\",\n \"0.57641417\",\n \"0.5717144\",\n \"0.5657449\",\n \"0.5650415\",\n \"0.5615462\",\n \"0.5605463\",\n \"0.55464685\",\n \"0.55369604\",\n \"0.5516311\",\n \"0.5514092\",\n \"0.5510669\",\n \"0.55100155\",\n \"0.54709643\",\n \"0.54680014\",\n \"0.5427352\",\n \"0.54006386\",\n \"0.53856057\",\n \"0.53004605\",\n \"0.52668273\",\n \"0.52662754\",\n \"0.52640927\",\n \"0.526292\",\n \"0.52293146\",\n \"0.51846796\",\n \"0.5170561\",\n \"0.5167306\",\n \"0.50746065\",\n \"0.5074228\",\n \"0.5073328\",\n \"0.5064726\",\n \"0.5062183\",\n \"0.50609356\",\n \"0.50515\",\n \"0.49915475\",\n \"0.4983672\",\n \"0.4974672\",\n \"0.4962033\",\n \"0.4956949\",\n \"0.4956472\",\n \"0.49249968\",\n \"0.49089128\",\n \"0.48954904\",\n \"0.4873187\",\n \"0.4848546\",\n \"0.48300007\",\n \"0.48166892\",\n \"0.48024854\",\n \"0.4781594\",\n \"0.47592798\",\n \"0.47518408\",\n \"0.47489858\",\n \"0.47457308\",\n \"0.4742431\",\n \"0.47273412\",\n \"0.47220972\",\n \"0.47100902\",\n \"0.47099572\",\n \"0.46993428\",\n \"0.46972233\",\n \"0.46960855\",\n \"0.46931955\",\n \"0.4683895\",\n \"0.46563375\",\n \"0.46513733\",\n \"0.46467516\",\n \"0.46449706\",\n \"0.4641277\",\n \"0.4625659\",\n \"0.46240544\",\n \"0.46228787\",\n \"0.46194848\",\n \"0.46194193\",\n \"0.46173668\",\n \"0.4616275\",\n \"0.46157056\",\n \"0.4611305\",\n \"0.4607152\",\n \"0.46022305\",\n \"0.45979962\",\n \"0.45763144\",\n \"0.4567697\",\n \"0.45661473\",\n \"0.4545085\",\n \"0.45436013\",\n \"0.45406672\",\n \"0.45380822\",\n \"0.453247\",\n \"0.45319444\",\n \"0.45250157\",\n \"0.45213696\",\n \"0.45174584\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.5889004"},"document_rank":{"kind":"string","value":"6"}}},{"rowIdx":4797,"cells":{"query":{"kind":"string","value":"Identity function for string extraction."},"document":{"kind":"string","value":"def _(x):\n return x"},"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 intern(string): # real signature unknown; restored from __doc__\n return \"\"","def identity_tokenizer(text):\n return text","def identity( arg ):\n return arg","def identification(self):\n return remove_whitespace(self.str_without_type())","def test_identity(self):\n\n s = r\"|wthis|Xis|gis|Ma|C|complex|*string\"\n\n self.assertEqual(irc.parse_irc_to_ansi(irc.parse_ansi_to_irc(s)), s)","def getIdentity():\n return Sentience.__IDENTITY.lower()","def identity(value):\n return value","def check_identity(input_string: str) -> str:\n n = input_string[2]\n if n == '6':\n return 'a foreigner with nationality'\n elif n == '7':\n return 'a national without household registration'\n elif n == '8':\n return 'from Hong Kong or Macau'\n elif n == '9':\n return 'from China'\n elif n == '0' \\\n or n == '1' \\\n or n == '2' \\\n or n == '3' \\\n or n == '4' \\\n or n == '5':\n return 'a normal national'\n else:\n # Should not happen\n return None","def make_ident(text, sep='_'):\n return _RE_NO_IDENT_CHARS.sub(sep, text)","def _str2id(text):\n return sha1(text).hexdigest()","def tokenize(*args, **kwargs):\n if kwargs.pop('pure', False):\n return base.tokenize(*args)\n else:\n return str(uuid.uuid4())","def identity():\n # We generate a name, an address, add them together and return that\n name = full_name()\n place_of_residence = address()\n new_identity = name + \", \" + place_of_residence\n return new_identity","def _extract_identifier(self, publication):\n return self._parse_identifier(publication.metadata.identifier)","def get_identifier(self):","def get_string2(self):\n pass","def string_id(self):\n id = self.id()\n if not isinstance(id, basestring):\n id = None\n return id","def do(s):\r\n return get_AA_subs(generate_mutString(s))","def fetch_current_user_id(s):","def identity(x):\n return x","def identity(x):\n return x","def identity(x):\n return x","def _identifier(self):\n identifier = self._get_next_symbol()\n\n while True:\n symbol = self._get_next_symbol()\n if symbol != None and symbol.isalnum():\n identifier += symbol\n else:\n if symbol != None:\n self._back()\n break\n\n return self._create_identifier_token(identifier)","def autoid(self) -> str:","def autoid(self) -> str:","def identity(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"identity\")","def identity(*args):\n return args if len(args) > 1 else args[0]","def test_transform(self):\n t = Identity()\n assert t.transform(\"yo\") == \"yo\"","def identifier():\n return (atomic() | hierarchical_identifier()).expect('identifier')","def ident(self):\r\n text = self.component.get(\"id\", \"\")\r\n # strip surrounding curly braces from id\r\n return re.sub(\"[{}]\", \"\", text)","def identifier(self):\n _id = ''\n while self.current_char is not None and self.current_char.isalpha():\n # inner loop to get alphanumeric characters\n while self.current_char is not None and\\\n self.current_char.isalnum():\n _id += self.current_char\n self.advance()\n return Token(self.tokentype['ID'], _id)","def extract(self, id_str):\n if id_str == \"\" or id_str == None:\n raise InvalidIdentityString(\"Invalid user identity string\")\n\n id_mpz = str_to_mpz(id_str)\n a = hash_mpz(id_mpz, self.f)\n a_tmp = 0\n\n while gmpy2.jacobi(a_tmp, self.n) != 1:\n a_tmp = hash_mpz(a_tmp, self.f)\n a = a_tmp\n\n logging.debug(f\"Jacobi (a/n) = {gmpy2.jacobi(a, self.n)}\")\n logging.debug(f\"Jacobi (-a/n) = {gmpy2.jacobi(-a, self.n)}\")\n \n r = pow(a, (self.n + 5 - (self.p+self.q)) // 8, self.n)\n r2 = (r*r) % self.n\n\n logging.debug(f\"a = {a % self.n}\")\n logging.debug(f\"-a = {-a %self.n}\")\n logging.debug(f\"r = {r}\")\n logging.debug(f\"r**2 = {r2}\")\n\n if r2 != (a % self.n) and r2 != (-a % self.n):\n raise ExtractFailure(\n \"Error deriving r: r^2 != a (mod n) and r^2 != -a (mod n)!\")\n return (r, a)","def test_replace_identity(self):\n pass","def identifier(self):","def get_unc_i(self):\n return self.unci","def get_processed_string(self, input_string):\n if input_string[:6] == '[sic]\"':\n return input_string[6: -1]\n else:\n return input_string.format(**self)","def t_STR_LITER(t):\n return t","def format_mapping_identifier(string):\n\n if not isinstance(string, str):\n helper_logger.log_warning(\n \"Error: mapping identifier is not a string {}\".format(string))\n return\n\n\n # create a working copy (and make it lowercase, while we're at it)\n s = string.lower()\n\n # remove leading and trailing whitespace\n s = s.strip()\n\n # Replace whitespace with underscores\n # Make spaces into underscores\n s = re.sub(r'\\s+', '_', s)\n\n return s","def insertable(m) -> str:\n return m[0]","def _id(self):\n result = ''\n while self.current_char is not None and self.current_char.isalnum() or self.current_char == '_':\n result += self.current_char\n self.advance()\n\n return Token(ID, result)","def test_glass_str__returns_uid():\n glass = moet.create_glass(\"A\")\n assert str(glass) == glass.uid","def _magic_s(self, s):\n if idapy._d is None:\n print \"Please select a dump first. Example:\"\n print \"sel t2i\"\n return\n idapy._d.strings(s)","def _sanitize_string(self, string):\n # get the type of a unicode string\n unicode_type = type(Pyasciigraph._u('t'))\n input_type = type(string)\n if input_type is str:\n if sys.version < '3':\n info = unicode(string)\n else:\n info = string\n elif input_type is unicode_type:\n info = string\n elif input_type is int or input_type is float:\n if sys.version < '3':\n info = unicode(string)\n else:\n info = str(string)\n else:\n info = str(string)\n return info","def process(self, s: str) -> str:\n raise NotImplementedError(\"must be implemented by subclasses\")","def main():\n\tprint 'Introduce string: '\n\ts = raw_input()\n\treturn if_unique_chars_one(s)","def extract(string, start_marker, end_marker):\n start_loc = string.find(start_marker)\n end_loc = string.find(end_marker)\n if start_loc == -1 or end_loc == -1:\n return \"\"\n return string[start_loc+len(start_marker):end_loc]","def get_identifier_string(self):\n return self.identifier","def name2Id(self, classExpression):\n out = classExpression\n name_id = self.gen_name_id()\n for k, v in name_id.items():\n out = re.sub(\"\\'\"+k+\"\\'\", v, out) # Suspect this not Pythonic. Could probably be done with a fancy map lambda combo. \n return out","def stringfilter(func):\n @wraps(func)\n def _dec(*args, **kwargs):\n if args:\n args = list(args)\n args[0] = str(args[0])\n return func(*args, **kwargs)\n\n return _dec","def get_firmware_id_string(self):\n unpacked_string = False\n # Find the address of the string in memory\n id_string_addr = self._get_slt_entry(3)\n if id_string_addr is None:\n # maybe it's not packed in this slt\n id_string_addr = self._get_slt_entry(2)\n if id_string_addr is None:\n # Can't find it in the slt return None\n return None\n unpacked_string = True\n # parse the null terminated string\n last = build_string = \"\"\n # There is no reason for the build string to contain\n # any non ASCII character but do it like this to avoid\n # breaking support for Python 2.7\n try:\n char = unichr\n except NameError:\n char = chr\n while last != \"\\0\":\n word = self.get_data(id_string_addr)\n if unpacked_string:\n if Arch.addr_per_word == 4:\n # Two char per word\n build_string += char(word & 0x00FFFF)\n if build_string[-1] == \"\\0\":\n break\n last = char((word & 0xFFFF0000) >> 16)\n build_string += last\n else:\n # Only one char per word\n last = char(word)\n build_string += last\n else:\n # Four chars per word\n if Arch.addr_per_word == 4:\n string = cu.get_string_from_word(Arch.addr_per_word, word)\n stop_decoding = False\n for char in string:\n if char != '\\0':\n build_string += char\n else:\n stop_decoding = True\n break\n last = string[3:]\n\n if stop_decoding:\n break\n else:\n # Two chars per word\n build_string += char((word & 0xFF00) >> 8)\n if build_string[-1] == \"\\0\":\n break\n last = char(word & 0x00FF)\n build_string += last\n # Move to the next word in the string\n id_string_addr += Arch.addr_per_word\n\n # remove the \\0 we don't want the terminator\n if build_string[-1] == \"\\0\":\n build_string = build_string[:-1]\n\n return build_string.strip()","def identification(self):\n return remove_whitespace(str(self))","def makeIdentity(self) -> None:\n ...","def _sanitize_to_identifer(name):\n n = name.strip()\n n = re.sub('/', ' ', n)\n n = re.sub('-', ' ', n)\n n = re.sub(' +', '_', n)\n n = re.sub('[\\W]+', '', n)\n return n","def inner_map_function(s):\n\n return f(inner_strip(s))","def __getitem__(self, *args):\n return _libsbml.string___getitem__(self, *args)","def value(self, p_str, p_str_1=None): # real signature unknown; restored from __doc__ with multiple overloads\n return \"\"","def process_string(string: str) -> str:\n\n return string if string else Presenter.DEFAULT","def _findIdentifierValue (self, identifier : String) -> String:\n\n Logging.trace(\">>: %s\", identifier)\n cls = self.__class__\n\n if identifier not in self._keyToValueMap:\n # leave identifier as is (it might be some value name like\n # wahr or false\n Logging.traceError(\"no expansion found\")\n result = identifier\n else:\n result = self._keyToValueMap[identifier]\n\n if not isString(result):\n result = repr(result)\n else:\n result = (cls._doubleQuoteCharacter + result\n + cls._doubleQuoteCharacter)\n\n Logging.trace(\"<<: expanded %s into %r\", identifier, result)\n return result","def as_identifier(self, string):\n t = string.lower()\n\n if t in self.keywords:\n return idaapi.COLSTR(string, idaapi.SCOLOR_ASMDIR)\n\n elif t in self.statements:\n return idaapi.COLSTR(string, idaapi.SCOLOR_LOCNAME)\n\n elif t in self.types:\n return idaapi.COLSTR(string, idaapi.SCOLOR_IMPNAME)\n\n else:\n return string","def to_identifier(val: Any):\n val = str(val).strip()\n # Replaces spaces, dashes, and slashes to underscores\n val = re.sub(r\"[\\s\\-/\\\\]\", \"_\", val)\n # Remove remaining invalid characters\n val = re.sub(r\"[^0-9a-zA-Z_]\", \"\", val)\n # Identifier can't start with digits\n val = re.sub(r\"^[^a-zA-Z_]+\", \"\", val)\n\n if not val or iskeyword(val):\n raise ValueError(f\"Unable to convert to identifier: {val}\")\n\n return val","def prepare_input(self, extracted_str):\n\n # Remove withspace\n if self.options['remove_whitespace']:\n optimized_str = re.sub(' +', '', extracted_str)\n else:\n optimized_str = extracted_str\n \n # Remove accents\n if self.options['remove_accents']:\n optimized_str = unidecode(optimized_str)\n\n # specific replace\n for replace in self.options['replace']:\n assert len(replace) == 2, 'A replace should be a list of 2 items'\n optimized_str = optimized_str.replace(replace[0], replace[1])\n\n return optimized_str","def _ident(name: Optional[Union[quoted_name, str]]) -> Optional[str]:\n if name is None:\n return name\n elif isinstance(name, quoted_name):\n return str(name)\n elif isinstance(name, str):\n return name","def func(str):\n\treturn str.split()","def reference_to_id(value):\n m = re.search(r\"<@(U[A-Z0-9]+)>\", value)\n return m.group(1) if m else None","def id_(x: Any) -> Any:\n return x","def to_input(x):\n return '_'.join([x.split('_')[0], 'Input'])","def test_process_string():\n decode = StringProcessor()\n assert decode.process_string(\"ab\") == \"\"\n decode.output = \"\"\n\n assert decode.process_string(\"ab*\") == \"b\"\n decode.output = \"\"\n\n assert decode.process_string(\"ab^\") == \"ba\"\n decode.output = \"\"\n\n assert decode.process_string(\"^\") == \"\"","def parse_id(string):\n return string.split('/')[-1]","def _id(self):\n result = ''\n while self.current_char is not None and self.current_char.isalnum():\n result += self.current_char\n self.advance()\n\n if self.current_char == '(' and self.is_declaration is False:\n self.advance()\n token = self.RESERVED_KEYWORDS.get(\n result.upper(), Token(CALL, result))\n else:\n token = self.RESERVED_KEYWORDS.get(\n result.upper(), Token(ID, result))\n self.is_declaration = False\n if token.type in (PROCEDURE, FUNCTION):\n self.is_declaration = True\n return token","def _transform_identifier(self, identifier, scheme):\n urlize = self.context.get(\"urlize_identifiers\", True)\n prefix_scheme = self.context.get(\"prefix_identifier_schemes\", True)\n result = None\n\n if urlize:\n result = idutils.to_url(identifier, scheme, url_scheme=\"https\")\n\n if not result and prefix_scheme and not identifier.startswith(scheme):\n result = f\"{scheme}:{identifier}\"\n\n return result or identifier","def identify(func):\n def identified(arg):\n func(arg)\n return arg\n return identified","def unique_id() -> str:","def PrepareIdentifier (s, in_use, aux_keywords=frozenset(), private=False, protected=False):\n s = DeconflictKeyword(MakeIdentifier(s).strip('_'), aux_keywords)\n if private:\n s = '__' + s\n elif protected:\n s = '_' + s\n return MakeUnique(s, in_use)","def test_graphid_str():\n id1 = _ir.GraphId(\"g1\")\n assert id1.str() == \"g1\"\n id2 = _ir.GraphId(\"foobar\")\n assert id2.str() == \"foobar\"","def str2nopunc(x):\n if isinstance(x,str):\n y = re.sub(r'[^\\w\\s]','',x.lower().strip()).replace('_','')\n else:\n y = x\n return y","def get_str(self, idx):\n if idx not in self.id2Str:\n return None\n else:\n return self.id2Str[idx]","def eidr_identifier(title):\n pass","def unpack_id(self, bytes_string, offset=0):\r\n return self._packer.unpack_from(bytes_string, offset)","def strip_action_str(string: str) -> str:","def parse(s):\n return s","def _tokenize4map(param):\n return _tokenize(*param)","def _decompose(cls,\n s = '',\n element = False):\n\n s = s.strip()\n\n x = cls._html.findall(s)\n if len(x) > 0:\n s = ''.join(x[0][::-1])\n\n s = cls._translate.get(s.lower(), s)\n\n name = s.strip()\n n = len(name)\n el = ''\n a = ''\n e = ''\n\n # get numbers\n n = re.findall(\"\\d+\", name)\n\n # get strings\n cx = re.findall(\"\\D+\", name)\n\n c = []\n for x in cx:\n xx = x.split('-')\n cy = [y for y in xx if y != '']\n c += cy\n if len(c) == 2:\n if c[0] in ('m', 'g'):\n c = c[::-1]\n if c[0][0] == '*':\n c = c[::-1]\n if len(n) > 0: a = n[0]\n if len(n) > 1: e = n[1]\n if len(n) > 2: raise ValueError(\"Can't understand isotope '{}'.\".format(s))\n if len(c) > 0: el = c[0]\n if len(el) > 0:\n if el[-1] in cls.EXCITE and len(c) == 1 and len(n) == 2:\n c.append(el[-1])\n el = el[:-1]\n if len(c) == 2 and c == ['(', ')']:\n if len(n) == 1:\n a = n[0]\n el = 'Z='\n e = ''\n c = []\n n = []\n else:\n return (s,) + ('',)*3\n if len(c) == 2:\n if c[1] in ('g', 'G'):\n e = '0'\n if len(n) > 1:\n return (s,) + ('',)*3\n elif c[1] in ('m', 'M') and len(n) == 1:\n e = '1'\n elif c[1][0] == '*' and len(n) == 1:\n e = str(len(c[1]))\n assert c[1].count('*') == len(c[1])\n if e == '1':\n e = str(cls.EANY)\n if not c[1] in ('m', 'g', 'M', 'G') and not c[1][0] == '*':\n return (s,) + ('',)*3\n\n if len(c) == 1 and c[0][-1] == '*':\n e = 0\n while c[0][-1] == '*':\n c[0] = c[0][:-1]\n e += 1\n assert e == 1\n e = str(e)\n el = c[0]\n\n if len(c) == 1 and c[0][0] == '*':\n e = 0\n while c[0][0] == '*':\n c[0] = c[0][1:]\n e += 1\n assert e == 1\n e = str(e)\n el = c[0]\n\n if s == 'a' and a == '':\n el = 'He'\n a = '4'\n # this is a possible conflict with potassium\n elif (element) and s == 'p':\n el = 'P'\n elif s == 'p':\n el = 'H'\n a = '1'\n elif el in ('p', 'pn') and a == '1':\n el = 'H'\n elif s == 'pn':\n el = 'H'\n a = ''\n elif el in ('d', 'D'):\n el = 'H'\n if not a in ('', '2'):\n raise AttributeError('\"d\" already implies mass; if supplied needs to be \"2\".')\n a = '2'\n elif el in ('t','T'):\n el = 'H'\n if not a in ('', '3'):\n raise AttributeError('\"t\" already implies mass; if supplied needs to be \"3\"')\n a = '3'\n elif (element) and s == 'n':\n el = 'N'\n elif s == 'n':\n el = 'nt'\n a = '1'\n elif el in ('n', 'nt') and a == '1':\n el = 'nt'\n elif s in ('g', 'G'):\n el = ''\n a = ''\n e = '1'\n elif (s.lower() in ('e-', 'b-', 'bd', 'pc')):\n s = el = 'e-'\n elif ((s.lower() in ('e+', 'b+', 'ec'))\n or ((not element) and (s.lower() == 'pd'))):\n s = el = 'e+'\n elif ((not element) and (s.lower() == 'ps')):\n s = 'h1'\n a = '1'\n el = 'h'\n elif ((not element) and (s.lower() == 'ns')):\n s = 'nt1'\n a = '1'\n el = 'nt'\n el = el.strip()\n# if len(el) == 2 and el(2)\n a = a.strip()\n e = e.strip()\n return s, el, a, e","def make_python_identifier(string):\n # Todo: check for variable uniqueness\n # perhaps maintain a list of current variables and their translations??\n # Todo: check that the output is actually a valid python identifier\n\n string = string.lower()\n\n # remove leading and trailing whitespace\n string = string.strip()\n\n # Make spaces into underscores\n string = string.replace(' ', '_')\n\n # Make commas and brackets into underscores (mostly for subscript column names)\n string = string.replace(',', '__').replace('[','__')\n\n # Remove invalid characters\n string = re.sub('[^0-9a-zA-Z_]', '', string)\n\n # Remove leading characters until we find a letter or underscore\n string = re.sub('^[^a-zA-Z_]+', '', string)\n\n # Check that the string is not a python identifier\n if string in keyword.kwlist:\n string += '_element'\n\n return string","def getIdentifier(self, length):\n return self._getStr(length)","def string_ids(f):\n\n\t@functools.wraps(f)\n\tdef wrapper(self, *args):\n\t\treturn f(self, *[str(arg) for arg in args])\n\n\treturn wrapper","def t_STRING(t):\n return t","def string_from_invokedymanic(ins, cf):\n info = InvokeDynamicInfo.create(ins, cf)\n if not isinstance(info, StringConcatInvokeDynamicInfo):\n return\n \n return info.recipe","def encode_fn(s_in):\r\n s_out = s_in.split()\r\n return s_out","def extract_name():\n def _extract_name(quoted_name):\n return e.String(quoted_name.subexpression.name)\n yield (\"(λ &[name] . str)\", _extract_name)","def process_id_from(self):\r\n return self._tokens[1]","def us(self, string=''):\n return string.replace(' ', '_')","def decode(self, s):","def decode(self, s):","def _extract_id(self, dirty_id):\n if dirty_id[:1] == \"/\":\n return dirty_id.split(\"/\")[-1]\n else:\n return dirty_id","def id(self, tokens):\n if len(tokens) != 1:\n raise Exception(\"Unexpected argument counts\")\n return tokens[0].value","def get_string(self, **kwargs):\n ...","def _getvalue_expr_Str(self, expr: ast.Str) -> Any:\n return expr.s","def transform(self, *args):\n return _libsbml.IdentifierTransformer_transform(self, *args)","def dense_name(string: str) -> str:\n return \"\".join(string.split(\"_\"))","def _(string):\n\t\treturn string","def process_id_to(self):\r\n return self._tokens[3]","def string_to_index(s):\n s = Unquote(s)\n if s == \".\":\n return ()\n return tuple(s.split(\"/\"))"],"string":"[\n \"def intern(string): # real signature unknown; restored from __doc__\\n return \\\"\\\"\",\n \"def identity_tokenizer(text):\\n return text\",\n \"def identity( arg ):\\n return arg\",\n \"def identification(self):\\n return remove_whitespace(self.str_without_type())\",\n \"def test_identity(self):\\n\\n s = r\\\"|wthis|Xis|gis|Ma|C|complex|*string\\\"\\n\\n self.assertEqual(irc.parse_irc_to_ansi(irc.parse_ansi_to_irc(s)), s)\",\n \"def getIdentity():\\n return Sentience.__IDENTITY.lower()\",\n \"def identity(value):\\n return value\",\n \"def check_identity(input_string: str) -> str:\\n n = input_string[2]\\n if n == '6':\\n return 'a foreigner with nationality'\\n elif n == '7':\\n return 'a national without household registration'\\n elif n == '8':\\n return 'from Hong Kong or Macau'\\n elif n == '9':\\n return 'from China'\\n elif n == '0' \\\\\\n or n == '1' \\\\\\n or n == '2' \\\\\\n or n == '3' \\\\\\n or n == '4' \\\\\\n or n == '5':\\n return 'a normal national'\\n else:\\n # Should not happen\\n return None\",\n \"def make_ident(text, sep='_'):\\n return _RE_NO_IDENT_CHARS.sub(sep, text)\",\n \"def _str2id(text):\\n return sha1(text).hexdigest()\",\n \"def tokenize(*args, **kwargs):\\n if kwargs.pop('pure', False):\\n return base.tokenize(*args)\\n else:\\n return str(uuid.uuid4())\",\n \"def identity():\\n # We generate a name, an address, add them together and return that\\n name = full_name()\\n place_of_residence = address()\\n new_identity = name + \\\", \\\" + place_of_residence\\n return new_identity\",\n \"def _extract_identifier(self, publication):\\n return self._parse_identifier(publication.metadata.identifier)\",\n \"def get_identifier(self):\",\n \"def get_string2(self):\\n pass\",\n \"def string_id(self):\\n id = self.id()\\n if not isinstance(id, basestring):\\n id = None\\n return id\",\n \"def do(s):\\r\\n return get_AA_subs(generate_mutString(s))\",\n \"def fetch_current_user_id(s):\",\n \"def identity(x):\\n return x\",\n \"def identity(x):\\n return x\",\n \"def identity(x):\\n return x\",\n \"def _identifier(self):\\n identifier = self._get_next_symbol()\\n\\n while True:\\n symbol = self._get_next_symbol()\\n if symbol != None and symbol.isalnum():\\n identifier += symbol\\n else:\\n if symbol != None:\\n self._back()\\n break\\n\\n return self._create_identifier_token(identifier)\",\n \"def autoid(self) -> str:\",\n \"def autoid(self) -> str:\",\n \"def identity(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"identity\\\")\",\n \"def identity(*args):\\n return args if len(args) > 1 else args[0]\",\n \"def test_transform(self):\\n t = Identity()\\n assert t.transform(\\\"yo\\\") == \\\"yo\\\"\",\n \"def identifier():\\n return (atomic() | hierarchical_identifier()).expect('identifier')\",\n \"def ident(self):\\r\\n text = self.component.get(\\\"id\\\", \\\"\\\")\\r\\n # strip surrounding curly braces from id\\r\\n return re.sub(\\\"[{}]\\\", \\\"\\\", text)\",\n \"def identifier(self):\\n _id = ''\\n while self.current_char is not None and self.current_char.isalpha():\\n # inner loop to get alphanumeric characters\\n while self.current_char is not None and\\\\\\n self.current_char.isalnum():\\n _id += self.current_char\\n self.advance()\\n return Token(self.tokentype['ID'], _id)\",\n \"def extract(self, id_str):\\n if id_str == \\\"\\\" or id_str == None:\\n raise InvalidIdentityString(\\\"Invalid user identity string\\\")\\n\\n id_mpz = str_to_mpz(id_str)\\n a = hash_mpz(id_mpz, self.f)\\n a_tmp = 0\\n\\n while gmpy2.jacobi(a_tmp, self.n) != 1:\\n a_tmp = hash_mpz(a_tmp, self.f)\\n a = a_tmp\\n\\n logging.debug(f\\\"Jacobi (a/n) = {gmpy2.jacobi(a, self.n)}\\\")\\n logging.debug(f\\\"Jacobi (-a/n) = {gmpy2.jacobi(-a, self.n)}\\\")\\n \\n r = pow(a, (self.n + 5 - (self.p+self.q)) // 8, self.n)\\n r2 = (r*r) % self.n\\n\\n logging.debug(f\\\"a = {a % self.n}\\\")\\n logging.debug(f\\\"-a = {-a %self.n}\\\")\\n logging.debug(f\\\"r = {r}\\\")\\n logging.debug(f\\\"r**2 = {r2}\\\")\\n\\n if r2 != (a % self.n) and r2 != (-a % self.n):\\n raise ExtractFailure(\\n \\\"Error deriving r: r^2 != a (mod n) and r^2 != -a (mod n)!\\\")\\n return (r, a)\",\n \"def test_replace_identity(self):\\n pass\",\n \"def identifier(self):\",\n \"def get_unc_i(self):\\n return self.unci\",\n \"def get_processed_string(self, input_string):\\n if input_string[:6] == '[sic]\\\"':\\n return input_string[6: -1]\\n else:\\n return input_string.format(**self)\",\n \"def t_STR_LITER(t):\\n return t\",\n \"def format_mapping_identifier(string):\\n\\n if not isinstance(string, str):\\n helper_logger.log_warning(\\n \\\"Error: mapping identifier is not a string {}\\\".format(string))\\n return\\n\\n\\n # create a working copy (and make it lowercase, while we're at it)\\n s = string.lower()\\n\\n # remove leading and trailing whitespace\\n s = s.strip()\\n\\n # Replace whitespace with underscores\\n # Make spaces into underscores\\n s = re.sub(r'\\\\s+', '_', s)\\n\\n return s\",\n \"def insertable(m) -> str:\\n return m[0]\",\n \"def _id(self):\\n result = ''\\n while self.current_char is not None and self.current_char.isalnum() or self.current_char == '_':\\n result += self.current_char\\n self.advance()\\n\\n return Token(ID, result)\",\n \"def test_glass_str__returns_uid():\\n glass = moet.create_glass(\\\"A\\\")\\n assert str(glass) == glass.uid\",\n \"def _magic_s(self, s):\\n if idapy._d is None:\\n print \\\"Please select a dump first. Example:\\\"\\n print \\\"sel t2i\\\"\\n return\\n idapy._d.strings(s)\",\n \"def _sanitize_string(self, string):\\n # get the type of a unicode string\\n unicode_type = type(Pyasciigraph._u('t'))\\n input_type = type(string)\\n if input_type is str:\\n if sys.version < '3':\\n info = unicode(string)\\n else:\\n info = string\\n elif input_type is unicode_type:\\n info = string\\n elif input_type is int or input_type is float:\\n if sys.version < '3':\\n info = unicode(string)\\n else:\\n info = str(string)\\n else:\\n info = str(string)\\n return info\",\n \"def process(self, s: str) -> str:\\n raise NotImplementedError(\\\"must be implemented by subclasses\\\")\",\n \"def main():\\n\\tprint 'Introduce string: '\\n\\ts = raw_input()\\n\\treturn if_unique_chars_one(s)\",\n \"def extract(string, start_marker, end_marker):\\n start_loc = string.find(start_marker)\\n end_loc = string.find(end_marker)\\n if start_loc == -1 or end_loc == -1:\\n return \\\"\\\"\\n return string[start_loc+len(start_marker):end_loc]\",\n \"def get_identifier_string(self):\\n return self.identifier\",\n \"def name2Id(self, classExpression):\\n out = classExpression\\n name_id = self.gen_name_id()\\n for k, v in name_id.items():\\n out = re.sub(\\\"\\\\'\\\"+k+\\\"\\\\'\\\", v, out) # Suspect this not Pythonic. Could probably be done with a fancy map lambda combo. \\n return out\",\n \"def stringfilter(func):\\n @wraps(func)\\n def _dec(*args, **kwargs):\\n if args:\\n args = list(args)\\n args[0] = str(args[0])\\n return func(*args, **kwargs)\\n\\n return _dec\",\n \"def get_firmware_id_string(self):\\n unpacked_string = False\\n # Find the address of the string in memory\\n id_string_addr = self._get_slt_entry(3)\\n if id_string_addr is None:\\n # maybe it's not packed in this slt\\n id_string_addr = self._get_slt_entry(2)\\n if id_string_addr is None:\\n # Can't find it in the slt return None\\n return None\\n unpacked_string = True\\n # parse the null terminated string\\n last = build_string = \\\"\\\"\\n # There is no reason for the build string to contain\\n # any non ASCII character but do it like this to avoid\\n # breaking support for Python 2.7\\n try:\\n char = unichr\\n except NameError:\\n char = chr\\n while last != \\\"\\\\0\\\":\\n word = self.get_data(id_string_addr)\\n if unpacked_string:\\n if Arch.addr_per_word == 4:\\n # Two char per word\\n build_string += char(word & 0x00FFFF)\\n if build_string[-1] == \\\"\\\\0\\\":\\n break\\n last = char((word & 0xFFFF0000) >> 16)\\n build_string += last\\n else:\\n # Only one char per word\\n last = char(word)\\n build_string += last\\n else:\\n # Four chars per word\\n if Arch.addr_per_word == 4:\\n string = cu.get_string_from_word(Arch.addr_per_word, word)\\n stop_decoding = False\\n for char in string:\\n if char != '\\\\0':\\n build_string += char\\n else:\\n stop_decoding = True\\n break\\n last = string[3:]\\n\\n if stop_decoding:\\n break\\n else:\\n # Two chars per word\\n build_string += char((word & 0xFF00) >> 8)\\n if build_string[-1] == \\\"\\\\0\\\":\\n break\\n last = char(word & 0x00FF)\\n build_string += last\\n # Move to the next word in the string\\n id_string_addr += Arch.addr_per_word\\n\\n # remove the \\\\0 we don't want the terminator\\n if build_string[-1] == \\\"\\\\0\\\":\\n build_string = build_string[:-1]\\n\\n return build_string.strip()\",\n \"def identification(self):\\n return remove_whitespace(str(self))\",\n \"def makeIdentity(self) -> None:\\n ...\",\n \"def _sanitize_to_identifer(name):\\n n = name.strip()\\n n = re.sub('/', ' ', n)\\n n = re.sub('-', ' ', n)\\n n = re.sub(' +', '_', n)\\n n = re.sub('[\\\\W]+', '', n)\\n return n\",\n \"def inner_map_function(s):\\n\\n return f(inner_strip(s))\",\n \"def __getitem__(self, *args):\\n return _libsbml.string___getitem__(self, *args)\",\n \"def value(self, p_str, p_str_1=None): # real signature unknown; restored from __doc__ with multiple overloads\\n return \\\"\\\"\",\n \"def process_string(string: str) -> str:\\n\\n return string if string else Presenter.DEFAULT\",\n \"def _findIdentifierValue (self, identifier : String) -> String:\\n\\n Logging.trace(\\\">>: %s\\\", identifier)\\n cls = self.__class__\\n\\n if identifier not in self._keyToValueMap:\\n # leave identifier as is (it might be some value name like\\n # wahr or false\\n Logging.traceError(\\\"no expansion found\\\")\\n result = identifier\\n else:\\n result = self._keyToValueMap[identifier]\\n\\n if not isString(result):\\n result = repr(result)\\n else:\\n result = (cls._doubleQuoteCharacter + result\\n + cls._doubleQuoteCharacter)\\n\\n Logging.trace(\\\"<<: expanded %s into %r\\\", identifier, result)\\n return result\",\n \"def as_identifier(self, string):\\n t = string.lower()\\n\\n if t in self.keywords:\\n return idaapi.COLSTR(string, idaapi.SCOLOR_ASMDIR)\\n\\n elif t in self.statements:\\n return idaapi.COLSTR(string, idaapi.SCOLOR_LOCNAME)\\n\\n elif t in self.types:\\n return idaapi.COLSTR(string, idaapi.SCOLOR_IMPNAME)\\n\\n else:\\n return string\",\n \"def to_identifier(val: Any):\\n val = str(val).strip()\\n # Replaces spaces, dashes, and slashes to underscores\\n val = re.sub(r\\\"[\\\\s\\\\-/\\\\\\\\]\\\", \\\"_\\\", val)\\n # Remove remaining invalid characters\\n val = re.sub(r\\\"[^0-9a-zA-Z_]\\\", \\\"\\\", val)\\n # Identifier can't start with digits\\n val = re.sub(r\\\"^[^a-zA-Z_]+\\\", \\\"\\\", val)\\n\\n if not val or iskeyword(val):\\n raise ValueError(f\\\"Unable to convert to identifier: {val}\\\")\\n\\n return val\",\n \"def prepare_input(self, extracted_str):\\n\\n # Remove withspace\\n if self.options['remove_whitespace']:\\n optimized_str = re.sub(' +', '', extracted_str)\\n else:\\n optimized_str = extracted_str\\n \\n # Remove accents\\n if self.options['remove_accents']:\\n optimized_str = unidecode(optimized_str)\\n\\n # specific replace\\n for replace in self.options['replace']:\\n assert len(replace) == 2, 'A replace should be a list of 2 items'\\n optimized_str = optimized_str.replace(replace[0], replace[1])\\n\\n return optimized_str\",\n \"def _ident(name: Optional[Union[quoted_name, str]]) -> Optional[str]:\\n if name is None:\\n return name\\n elif isinstance(name, quoted_name):\\n return str(name)\\n elif isinstance(name, str):\\n return name\",\n \"def func(str):\\n\\treturn str.split()\",\n \"def reference_to_id(value):\\n m = re.search(r\\\"<@(U[A-Z0-9]+)>\\\", value)\\n return m.group(1) if m else None\",\n \"def id_(x: Any) -> Any:\\n return x\",\n \"def to_input(x):\\n return '_'.join([x.split('_')[0], 'Input'])\",\n \"def test_process_string():\\n decode = StringProcessor()\\n assert decode.process_string(\\\"ab\\\") == \\\"\\\"\\n decode.output = \\\"\\\"\\n\\n assert decode.process_string(\\\"ab*\\\") == \\\"b\\\"\\n decode.output = \\\"\\\"\\n\\n assert decode.process_string(\\\"ab^\\\") == \\\"ba\\\"\\n decode.output = \\\"\\\"\\n\\n assert decode.process_string(\\\"^\\\") == \\\"\\\"\",\n \"def parse_id(string):\\n return string.split('/')[-1]\",\n \"def _id(self):\\n result = ''\\n while self.current_char is not None and self.current_char.isalnum():\\n result += self.current_char\\n self.advance()\\n\\n if self.current_char == '(' and self.is_declaration is False:\\n self.advance()\\n token = self.RESERVED_KEYWORDS.get(\\n result.upper(), Token(CALL, result))\\n else:\\n token = self.RESERVED_KEYWORDS.get(\\n result.upper(), Token(ID, result))\\n self.is_declaration = False\\n if token.type in (PROCEDURE, FUNCTION):\\n self.is_declaration = True\\n return token\",\n \"def _transform_identifier(self, identifier, scheme):\\n urlize = self.context.get(\\\"urlize_identifiers\\\", True)\\n prefix_scheme = self.context.get(\\\"prefix_identifier_schemes\\\", True)\\n result = None\\n\\n if urlize:\\n result = idutils.to_url(identifier, scheme, url_scheme=\\\"https\\\")\\n\\n if not result and prefix_scheme and not identifier.startswith(scheme):\\n result = f\\\"{scheme}:{identifier}\\\"\\n\\n return result or identifier\",\n \"def identify(func):\\n def identified(arg):\\n func(arg)\\n return arg\\n return identified\",\n \"def unique_id() -> str:\",\n \"def PrepareIdentifier (s, in_use, aux_keywords=frozenset(), private=False, protected=False):\\n s = DeconflictKeyword(MakeIdentifier(s).strip('_'), aux_keywords)\\n if private:\\n s = '__' + s\\n elif protected:\\n s = '_' + s\\n return MakeUnique(s, in_use)\",\n \"def test_graphid_str():\\n id1 = _ir.GraphId(\\\"g1\\\")\\n assert id1.str() == \\\"g1\\\"\\n id2 = _ir.GraphId(\\\"foobar\\\")\\n assert id2.str() == \\\"foobar\\\"\",\n \"def str2nopunc(x):\\n if isinstance(x,str):\\n y = re.sub(r'[^\\\\w\\\\s]','',x.lower().strip()).replace('_','')\\n else:\\n y = x\\n return y\",\n \"def get_str(self, idx):\\n if idx not in self.id2Str:\\n return None\\n else:\\n return self.id2Str[idx]\",\n \"def eidr_identifier(title):\\n pass\",\n \"def unpack_id(self, bytes_string, offset=0):\\r\\n return self._packer.unpack_from(bytes_string, offset)\",\n \"def strip_action_str(string: str) -> str:\",\n \"def parse(s):\\n return s\",\n \"def _tokenize4map(param):\\n return _tokenize(*param)\",\n \"def _decompose(cls,\\n s = '',\\n element = False):\\n\\n s = s.strip()\\n\\n x = cls._html.findall(s)\\n if len(x) > 0:\\n s = ''.join(x[0][::-1])\\n\\n s = cls._translate.get(s.lower(), s)\\n\\n name = s.strip()\\n n = len(name)\\n el = ''\\n a = ''\\n e = ''\\n\\n # get numbers\\n n = re.findall(\\\"\\\\d+\\\", name)\\n\\n # get strings\\n cx = re.findall(\\\"\\\\D+\\\", name)\\n\\n c = []\\n for x in cx:\\n xx = x.split('-')\\n cy = [y for y in xx if y != '']\\n c += cy\\n if len(c) == 2:\\n if c[0] in ('m', 'g'):\\n c = c[::-1]\\n if c[0][0] == '*':\\n c = c[::-1]\\n if len(n) > 0: a = n[0]\\n if len(n) > 1: e = n[1]\\n if len(n) > 2: raise ValueError(\\\"Can't understand isotope '{}'.\\\".format(s))\\n if len(c) > 0: el = c[0]\\n if len(el) > 0:\\n if el[-1] in cls.EXCITE and len(c) == 1 and len(n) == 2:\\n c.append(el[-1])\\n el = el[:-1]\\n if len(c) == 2 and c == ['(', ')']:\\n if len(n) == 1:\\n a = n[0]\\n el = 'Z='\\n e = ''\\n c = []\\n n = []\\n else:\\n return (s,) + ('',)*3\\n if len(c) == 2:\\n if c[1] in ('g', 'G'):\\n e = '0'\\n if len(n) > 1:\\n return (s,) + ('',)*3\\n elif c[1] in ('m', 'M') and len(n) == 1:\\n e = '1'\\n elif c[1][0] == '*' and len(n) == 1:\\n e = str(len(c[1]))\\n assert c[1].count('*') == len(c[1])\\n if e == '1':\\n e = str(cls.EANY)\\n if not c[1] in ('m', 'g', 'M', 'G') and not c[1][0] == '*':\\n return (s,) + ('',)*3\\n\\n if len(c) == 1 and c[0][-1] == '*':\\n e = 0\\n while c[0][-1] == '*':\\n c[0] = c[0][:-1]\\n e += 1\\n assert e == 1\\n e = str(e)\\n el = c[0]\\n\\n if len(c) == 1 and c[0][0] == '*':\\n e = 0\\n while c[0][0] == '*':\\n c[0] = c[0][1:]\\n e += 1\\n assert e == 1\\n e = str(e)\\n el = c[0]\\n\\n if s == 'a' and a == '':\\n el = 'He'\\n a = '4'\\n # this is a possible conflict with potassium\\n elif (element) and s == 'p':\\n el = 'P'\\n elif s == 'p':\\n el = 'H'\\n a = '1'\\n elif el in ('p', 'pn') and a == '1':\\n el = 'H'\\n elif s == 'pn':\\n el = 'H'\\n a = ''\\n elif el in ('d', 'D'):\\n el = 'H'\\n if not a in ('', '2'):\\n raise AttributeError('\\\"d\\\" already implies mass; if supplied needs to be \\\"2\\\".')\\n a = '2'\\n elif el in ('t','T'):\\n el = 'H'\\n if not a in ('', '3'):\\n raise AttributeError('\\\"t\\\" already implies mass; if supplied needs to be \\\"3\\\"')\\n a = '3'\\n elif (element) and s == 'n':\\n el = 'N'\\n elif s == 'n':\\n el = 'nt'\\n a = '1'\\n elif el in ('n', 'nt') and a == '1':\\n el = 'nt'\\n elif s in ('g', 'G'):\\n el = ''\\n a = ''\\n e = '1'\\n elif (s.lower() in ('e-', 'b-', 'bd', 'pc')):\\n s = el = 'e-'\\n elif ((s.lower() in ('e+', 'b+', 'ec'))\\n or ((not element) and (s.lower() == 'pd'))):\\n s = el = 'e+'\\n elif ((not element) and (s.lower() == 'ps')):\\n s = 'h1'\\n a = '1'\\n el = 'h'\\n elif ((not element) and (s.lower() == 'ns')):\\n s = 'nt1'\\n a = '1'\\n el = 'nt'\\n el = el.strip()\\n# if len(el) == 2 and el(2)\\n a = a.strip()\\n e = e.strip()\\n return s, el, a, e\",\n \"def make_python_identifier(string):\\n # Todo: check for variable uniqueness\\n # perhaps maintain a list of current variables and their translations??\\n # Todo: check that the output is actually a valid python identifier\\n\\n string = string.lower()\\n\\n # remove leading and trailing whitespace\\n string = string.strip()\\n\\n # Make spaces into underscores\\n string = string.replace(' ', '_')\\n\\n # Make commas and brackets into underscores (mostly for subscript column names)\\n string = string.replace(',', '__').replace('[','__')\\n\\n # Remove invalid characters\\n string = re.sub('[^0-9a-zA-Z_]', '', string)\\n\\n # Remove leading characters until we find a letter or underscore\\n string = re.sub('^[^a-zA-Z_]+', '', string)\\n\\n # Check that the string is not a python identifier\\n if string in keyword.kwlist:\\n string += '_element'\\n\\n return string\",\n \"def getIdentifier(self, length):\\n return self._getStr(length)\",\n \"def string_ids(f):\\n\\n\\t@functools.wraps(f)\\n\\tdef wrapper(self, *args):\\n\\t\\treturn f(self, *[str(arg) for arg in args])\\n\\n\\treturn wrapper\",\n \"def t_STRING(t):\\n return t\",\n \"def string_from_invokedymanic(ins, cf):\\n info = InvokeDynamicInfo.create(ins, cf)\\n if not isinstance(info, StringConcatInvokeDynamicInfo):\\n return\\n \\n return info.recipe\",\n \"def encode_fn(s_in):\\r\\n s_out = s_in.split()\\r\\n return s_out\",\n \"def extract_name():\\n def _extract_name(quoted_name):\\n return e.String(quoted_name.subexpression.name)\\n yield (\\\"(λ &[name] . str)\\\", _extract_name)\",\n \"def process_id_from(self):\\r\\n return self._tokens[1]\",\n \"def us(self, string=''):\\n return string.replace(' ', '_')\",\n \"def decode(self, s):\",\n \"def decode(self, s):\",\n \"def _extract_id(self, dirty_id):\\n if dirty_id[:1] == \\\"/\\\":\\n return dirty_id.split(\\\"/\\\")[-1]\\n else:\\n return dirty_id\",\n \"def id(self, tokens):\\n if len(tokens) != 1:\\n raise Exception(\\\"Unexpected argument counts\\\")\\n return tokens[0].value\",\n \"def get_string(self, **kwargs):\\n ...\",\n \"def _getvalue_expr_Str(self, expr: ast.Str) -> Any:\\n return expr.s\",\n \"def transform(self, *args):\\n return _libsbml.IdentifierTransformer_transform(self, *args)\",\n \"def dense_name(string: str) -> str:\\n return \\\"\\\".join(string.split(\\\"_\\\"))\",\n \"def _(string):\\n\\t\\treturn string\",\n \"def process_id_to(self):\\r\\n return self._tokens[3]\",\n \"def string_to_index(s):\\n s = Unquote(s)\\n if s == \\\".\\\":\\n return ()\\n return tuple(s.split(\\\"/\\\"))\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6034306","0.5799975","0.5765744","0.57460624","0.5699749","0.5639867","0.5598918","0.5493786","0.5481133","0.54755294","0.54505527","0.5449481","0.5441116","0.5371032","0.5352636","0.5330441","0.5291735","0.5242051","0.52288747","0.52288747","0.52288747","0.5217174","0.5172035","0.5172035","0.5169953","0.5163742","0.5134386","0.51233023","0.51216316","0.51214445","0.51105213","0.5081293","0.5067943","0.50608945","0.5059076","0.5054062","0.5040261","0.50320506","0.5028208","0.5023658","0.50209665","0.5004532","0.5003816","0.4993281","0.49892876","0.49756178","0.4962436","0.495584","0.49474713","0.49472144","0.49375692","0.49288175","0.49265495","0.49137837","0.49093226","0.49045956","0.48956546","0.48901075","0.48873535","0.4881078","0.48776466","0.48775756","0.48632097","0.4861621","0.48613435","0.48586354","0.48560598","0.4853348","0.4852577","0.48514494","0.48504713","0.48493055","0.4848312","0.4830739","0.48275986","0.4825529","0.48197076","0.48177534","0.48172933","0.48091263","0.480745","0.48066044","0.4799723","0.479876","0.47974417","0.4790127","0.4778079","0.4765839","0.47647402","0.47634274","0.47586876","0.47586876","0.47577292","0.4756921","0.47470915","0.47450992","0.47401515","0.47368607","0.4734394","0.47300136","0.47279772"],"string":"[\n \"0.6034306\",\n \"0.5799975\",\n \"0.5765744\",\n \"0.57460624\",\n \"0.5699749\",\n \"0.5639867\",\n \"0.5598918\",\n \"0.5493786\",\n \"0.5481133\",\n \"0.54755294\",\n \"0.54505527\",\n \"0.5449481\",\n \"0.5441116\",\n \"0.5371032\",\n \"0.5352636\",\n \"0.5330441\",\n \"0.5291735\",\n \"0.5242051\",\n \"0.52288747\",\n \"0.52288747\",\n \"0.52288747\",\n \"0.5217174\",\n \"0.5172035\",\n \"0.5172035\",\n \"0.5169953\",\n \"0.5163742\",\n \"0.5134386\",\n \"0.51233023\",\n \"0.51216316\",\n \"0.51214445\",\n \"0.51105213\",\n \"0.5081293\",\n \"0.5067943\",\n \"0.50608945\",\n \"0.5059076\",\n \"0.5054062\",\n \"0.5040261\",\n \"0.50320506\",\n \"0.5028208\",\n \"0.5023658\",\n \"0.50209665\",\n \"0.5004532\",\n \"0.5003816\",\n \"0.4993281\",\n \"0.49892876\",\n \"0.49756178\",\n \"0.4962436\",\n \"0.495584\",\n \"0.49474713\",\n \"0.49472144\",\n \"0.49375692\",\n \"0.49288175\",\n \"0.49265495\",\n \"0.49137837\",\n \"0.49093226\",\n \"0.49045956\",\n \"0.48956546\",\n \"0.48901075\",\n \"0.48873535\",\n \"0.4881078\",\n \"0.48776466\",\n \"0.48775756\",\n \"0.48632097\",\n \"0.4861621\",\n \"0.48613435\",\n \"0.48586354\",\n \"0.48560598\",\n \"0.4853348\",\n \"0.4852577\",\n \"0.48514494\",\n \"0.48504713\",\n \"0.48493055\",\n \"0.4848312\",\n \"0.4830739\",\n \"0.48275986\",\n \"0.4825529\",\n \"0.48197076\",\n \"0.48177534\",\n \"0.48172933\",\n \"0.48091263\",\n \"0.480745\",\n \"0.48066044\",\n \"0.4799723\",\n \"0.479876\",\n \"0.47974417\",\n \"0.4790127\",\n \"0.4778079\",\n \"0.4765839\",\n \"0.47647402\",\n \"0.47634274\",\n \"0.47586876\",\n \"0.47586876\",\n \"0.47577292\",\n \"0.4756921\",\n \"0.47470915\",\n \"0.47450992\",\n \"0.47401515\",\n \"0.47368607\",\n \"0.4734394\",\n \"0.47300136\",\n \"0.47279772\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":4798,"cells":{"query":{"kind":"string","value":"Generate a object formatter for links.."},"document":{"kind":"string","value":"def link(text, link_func):\n def object_formatter(v, c, m, p):\n \"\"\"Format object view link.\"\"\"\n return Markup('<a href=\"{0}\">{1}</a>'.format(\n link_func(m), text))\n return object_formatter"},"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 object_formatter(v, c, m, p):\n return Markup('<a href=\"{0}\">{1}</a>'.format(\n link_func(m), text))","def __repr__(self):\n if self.rest:\n rest_repr = ', ' + repr(self.rest)\n else:\n rest_repr = ''\n return 'Link({0}{1})'.format(self.first, rest_repr)","def linkify(obj, link_text=''):\n try:\n lst = []\n # if obj is not a list, convert it into a list\n if not getattr(obj, '__iter__', False):\n obj = [obj]\n for item in obj:\n if hasattr(item, 'child'):\n item = item.child\n if link_text == '':\n l_text = unicode(item)\n else:\n try:\n link_text = link_text.encode('ascii')\n l_text = getattr(item, link_text, link_text)\n except UnicodeEncodeError:\n l_text = link_text\n if not (isinstance(item, Content) and\n isinstance(l_text, SafeText)):\n l_text = filter.force_escape(l_text)\n format_args = (item.get_absolute_url(), l_text)\n lst.append(mark_safe('<a href=\\'%s\\'>%s</a>' % format_args))\n\n # nonlists obj's should be returned as nonlists\n return lst[0] if len(lst) == 1 else lst\n except:\n return ''","def fmt(e):\n name = str(e.label.first() if hasattr(e, 'label') and e.label else e)\n if re.match(r'^[a-z]+://', name):\n return link.format(name=name, url=name)\n if hasattr(e, 'label') and e.label:\n name = e.label.first()\n url = name if re.match(r'^[a-z]+://', name) else '#' + name\n return link.format(name=name, url=url)\n elif re.match(r'^[a-z]+://', str(e)):\n return link.format(name=e, url=e)\n else:\n return str(e).replace('owl.', 'owl:')","def __repr__(self):\n ## return str(self.first) + \" -> \" + repr(self.rest)\n if self.rest is Link.empty:\n rest_str = \"\"\n else:\n rest_str = \", \" + repr(self.rest)\n return \"Link({0}{1})\".format(self.first, rest_str)","def __str__(self):\n\t\treturn '{0} ({1})'.format (self.name, self.link)","def format(self, obj):\n pass","def format(self, obj):\n pass","def __repr__(self):\n if self.rest is Link.empty:\n rest = ''\n else:\n rest = ', ' + repr(self.rest)\n return 'Link({0}{1})'.format(self.first, rest)","def format_link_segment(value):\n format_type = json_api_settings.FORMAT_RELATED_LINKS\n return format_value(value, format_type)","def href(obj):\n if isinstance(obj, Filing):\n return reverse('filing', args=(obj.region, obj.name, obj.period_name))\n else:\n raise ValueError('cannot build a URL for {}.{} objects'.format(\n type(obj).__module__, type(obj).__name__))","def __str__(self):\n return '<a href=\"%s\" class=\"%s\" %s>%s</a>' % (self.url, self.cssclass, self.options, self.text)","def to_html(self) -> str:\n return f'''\n <a href=\"{self.link}\"> ({self.source_name}, {self.timestamp.strftime('%Y')}) </a>\n '''","def linkified_description(self):\n links = []\n def linkify(matchobj, links=links):\n if '|' in matchobj.group(1):\n url = matchobj.group(1).split('|')\n link = format_html('<a href=\"{0}\" target=\"_blank\">{1}</a>', url[0], url[1])\n else:\n link = format_html('<a href=\"{0}\" target=\"_blank\">{1}</a>', self.url, matchobj.group(1))\n links.append(link)\n return '{%d}' % (len(links) - 1)\n\n fmt = re.sub(r'\\[\\[([^\\]]+)\\]\\]', linkify, self.description)\n return format_html(fmt, *links)","def link(self, obj):\n return format_html(\n '<a href=\"{url}\">{url}</a>',\n url='https://sms.cam.ac.uk/collection/{}'.format(obj.id)\n )","def linkify(field_name):\n def _linkify(obj):\n linked_obj = getattr(obj, field_name)\n if linked_obj is None:\n return '-'\n app_label = linked_obj._meta.app_label\n model_name = linked_obj._meta.model_name\n view_name = f'admin:{app_label}_{model_name}_change'\n link_url = reverse(view_name, args=[linked_obj.pk])\n return format_html('<a href=\"{}\">{}</a>', link_url, linked_obj)\n\n _linkify.short_description = field_name # Sets column name\n return _linkify","def linkify(field_name):\n\n def _linkify(obj):\n linked_obj = getattr(obj, field_name)\n if linked_obj is None:\n return '-'\n app_label = linked_obj._meta.app_label\n model_name = linked_obj._meta.model_name\n view_name = f'admin:{app_label}_{model_name}_change'\n link_url = reverse(view_name, args=[linked_obj.pk])\n return format_html('<a href=\"{}\">{}</a>', link_url, linked_obj)\n\n _linkify.short_description = field_name # Sets column name\n return _linkify","def _format_obj(cls, **kwargs):\n def doc_rebuilder(obj):\n if kwargs.pop('_VOID_',False):\n return ''\n try:\n doc = getattr(obj,'__doc__')\n assert doc\n except:\n return ''\n else:\n return doc.format(**kwargs) # str(doc).format(**kwargs)\n return doc_rebuilder","def generate_link(resources):\n\n links = \"\"\n for i, resource in enumerate(resources):\n link = \"<\" + resource[\"path\"] + \">\"\n if \"parameters\" in resource:\n for parameter in resource[\"parameters\"]:\n link += \";\" + str(parameter) + \"=\" + str(resource[\"parameters\"][parameter])\n links += link\n if i != len(resources) - 1:\n links += \",\"\n return links","def pretty(self, **kwargs):\r\n raise NotImplementedError","def gen_links(text):\n return []","def deriveLinkfromObject(obj, scale=1, parent_link=True, parent_objects=True,\n reparent_children=True, nameformat='', scaleByBoundingBox=False):\n log('Deriving link from ' + nUtils.getObjectName(obj), level=\"INFO\")\n # create armature/bone\n bUtils.toggleLayer('link', True)\n bpy.ops.object.select_all(action='DESELECT')\n bpy.ops.object.armature_add()\n newlink = bpy.context.active_object\n newlink.name = obj.name + \"_link\"\n newlink.matrix_world = obj.matrix_world\n newlink.phobostype = 'link'\n if scaleByBoundingBox:\n bound_box = (\n max([c[0] for c in obj.bound_box]),\n max([c[1] for c in obj.bound_box]),\n max([c[2] for c in obj.bound_box]),\n )\n newlink.scale = [max(bound_box)*scale] * 3\n else:\n newlink.scale = [scale] * 3\n if obj.parent is not None and parent_link:\n eUtils.parentObjectsTo(newlink, obj.parent)\n if parent_objects:\n eUtils.parentObjectsTo(obj, newlink)\n if reparent_children:\n eUtils.parentObjectsTo(list(obj.children), newlink)\n if bpy.context.scene.phoboswireframesettings.links:\n newlink.display_type = \"WIRE\"\n return newlink","def getLink(self):","def _format(self):\n output = f\"\\n{color('>>> DUMP')} from {self.filename}: {color(f'L{self.line}')} in {color(f'{self.method}()')}\"\n\n for name, obj in self.objects.items():\n output += f\"\\n\\n{color(f' - {name}:')}\\n\"\n output += f\" {pformat(obj, width=110, indent=4)}\"\n\n output += color(\"\\n\\n<<< END\")\n return output","def format(self):\n ...","def format_element(bfo, links=\"no\", category=\"yes\", mirrors=\"yes\"):\n\n arxiv=get_arxiv(bfo, category=\"no\")\n\n if len(arxiv) == 0:\n return\n\n out = ''\n if links == 'yes':\n arxiv_ref = arxiv[0] # Take only first one\n out += '''\n<a href=\"http://arXiv.org/abs/%(ref)s\">Abstract</a> and\n<a href=\"http://arXiv.org/ps/%(ref)s\">Postscript</a>\n and <a href=\"http://arXiv.org/pdf/%(ref)s\">PDF</a> from arXiv.org'''% \\\n {'ref': arxiv_ref}\n\n if mirrors.lower()=='yes':\n out+='''\n (mirrors:\n<a href=\"http://au.arXiv.org/abs/%(ref)s\">au</a>\n\n<a href=\"http://br.arXiv.org/%(ref)s\">br</a>\n<a href=\"http://cn.arXiv.org/abs/%(ref)s\">cn</a>\n<a href=\"http://de.arXiv.org/abs/%(ref)s\">de</a>\n<a href=\"http://es.arXiv.org/abs/%(ref)s\">es</a>\n<a href=\"http://fr.arXiv.org/abs/%(ref)s\">fr</a>\n<a href=\"http://il.arXiv.org/abs/%(ref)s\">il</a>\n<a href=\"http://in.arXiv.org/abs/%(ref)s\">in</a>\n<a href=\"http://it.arXiv.org/abs/%(ref)s\">it</a>\n<a href=\"http://jp.arXiv.org/abs/%(ref)s\">jp</a>\n<a href=\"http://kr.arXiv.org/abs/%(ref)s\">kr</a>\n<a href=\"http://ru.arXiv.org/abs/%(ref)s\">ru</a>\n<a href=\"http://tw.arXiv.org/abs/%(ref)s\">tw</a>\n<a href=\"http://uk.arXiv.org/abs/%(ref)s\">uk</a>\n<a href=\"http://aps.arXiv.org/abs/%(ref)s\">aps</a>\n<a href=\"http://lanl.arXiv.org/abs/%(ref)s\">lanl</a>)''' % \\\n {'ref': arxiv_ref}\n\n\n else: # print only value\n out = ', '.join(get_arxiv(bfo,category))\n\n return out","def __str__(self, printODData = False):\n networkStr = \"Link\\tFlow\\tCost\\n\"\n for ij in sorted(self.link, key=lambda ij : self.link[ij].sortKey):\n networkStr += \"%s\\t%f\\t%f\\n\" % (ij, self.link[ij].flow, self.link[ij].cost)\n if printODData == True:\n networkStr += \"\\n\"\n networkStr += \"OD pair\\tDemand\\tLeastCost\\n\"\n for ODpair in self.ODpair:\n networkStr += \"%s\\t%f\\t%f\\n\" % (ODpair, self.ODpair[ODpair].demand, self.ODpair[ODpair].leastCost)\n return networkStr","def detail_link(db_obj, text=None):\n\n def build_link(obj):\n name = str(obj) if text is None else text\n return _make_link(obj.detail_url(), name)\n\n return mark_safe(', '.join(map(build_link, as_list(db_obj))))","def undo_format_link_segment(value):\n\n if json_api_settings.FORMAT_RELATED_LINKS:\n return format_value(value, \"underscore\")\n\n return value","def format(obj): # pylint: disable=W0622\n# print '>>', obj\n if hasattr(obj, 'format'):\n return obj.format()\n return \"%s\" % obj","def pybb_link(object, anchor=''):\n\n url = hasattr(object, 'get_absolute_url') and object.get_absolute_url() or None\n #noinspection PyRedeclaration\n anchor = anchor or smart_text(object)\n return mark_safe('<a href=\"%s\">%s</a>' % (url, escape(anchor)))","def _generate_links(self):\n index = 0\n links = \"\"\n for ch in self.text:\n if ch == '[':\n links += \"(^\"\n elif ch == ']':\n links += \")$|\"\n index += 1\n elif links[-1:] != '|' and links != \"\":\n links += ch\n self.links = compile(links[:-1].lower())","def exportLineageLink(fromObject, toObject, linkType, csvFile):\n # TODO: add error checking\n row = [linkType, \"\", \"\", fromObject, toObject]\n csvFile.writerow(row)\n return","def __str__(self) -> str:\n obj_dict: Dict[str, Any] = {}\n obj_dict[\"doc\"] = self.doc\n obj_dict[\"type\"] = self.type\n obj_dict[\"name\"] = self.name\n\n line_range = self.line_range()\n obj_dict[\"start_line\"] = line_range[0]\n obj_dict[\"end_line\"] = line_range[1]\n\n obj_dict[\"children\"] = []\n\n for child in self.children.values():\n obj_dict[\"children\"].append(json.loads(str(child)))\n\n return json.dumps(obj_dict)","def format_element(bfo, style, separator='; ', elec_loc_field='1'):\n\n urls = []\n coll = bfo.field('960__a')\n\n if '1' in elec_loc_field:\n urls = bfo.fields('8564_')\n\n if '2' in elec_loc_field:\n urls.extend(bfo.fields('85642'))\n\n out = []\n\n if style != \"\":\n style = 'class=\"'+style+'\"'\n\n for url in urls:\n if coll in ['31', '32'] and \\\n url.get('x', '') == 'map':\n # Periodicals\n continue\n\n elif coll in ['74', '75'] and \\\n 'BUL-SA-' not in bfo.field('037__a') and \\\n bfo.field('088__a'):\n # Weekly bulletin\n continue\n\n\n elif url.has_key('u'):\n\n label = url.get('y', '')\n if coll in ['60', '61', '62', '63', '69'] or \\\n coll in ['81', '82', '83', '84', '86','87','88', '89', '115', '117']:\n # Council documents +\n # Photos\n label = escape(url.get('z', ''))\n if label.lower() in ['', 'access to fulltext document', 'access to document', 'full text']:\n label = \"Fulltext\"\n if label.lower() in ['audio files']:\n label = '<img src=http://cdsweb.cern.ch/img/speaker.png border=\"0\">' + \\\n label\n\n\n link = '<a ' + style + ' href=\"' + url['u'] + '\">' + \\\n label + '</a>'\n out.append(link)\n\n if coll == '05':\n file_numbers = bfo.field('927__a')\n for file_number in file_numbers:\n if '-' in file_number or '_' in file_number:\n link = '<a href=\"http://doc.cern.ch/cgi-bin/setlink?base=pauli&categ=&id=\"%s\">Fulltext</a>' % file_number\n out.append(link)\n\n if coll in ['74', '75'] and \\\n 'BUL-SA-' not in bfo.field('037__a') and \\\n bfo.field('088__a'):\n # Weekly bulletin\n link = 'Published in <a href=\"http://bulletin.cern.ch/eng/bulletin.php?bullno=' + \\\n bfo.field('088__a') +'\">CERN weekly bulletin ' + bfo.field('088__a') + '</a>' + \\\n ' (' + bfo.field('260__c') + ')'\n out.append(link)\n\n return separator.join(out)","def render(links, enum=False):\n if not enum:\n return \"\\n\".join(links)\n return \"\\n\".join(\"%s. %s\" % ((i + 1), l) for i, l in enumerate(links))","def htmlize(self, obj, rooturl):\n\n\t\tif isinstance(obj, basestring):\n\t\t\tif obj.startswith(\"@\"):\n\n\t\t\t\t# Button link...\n\t\t\t\ttry:\n\t\t\t\t\tmod, ns, objid, value = obj[1:].split(\":\")\n\t\t\t\texcept ValueError:\n\t\t\t\t\tpass\n\t\t\t\telse:\n\t\t\t\t\ttarget_url = rooturl + mod + \"/\" + ns + \"/\" + objid\n\t\t\t\t\tfl = \"<form method=\\\"post\\\" action=\\\"\" + cgi.escape(target_url, True)\n\t\t\t\t\tfl += \"\\\"><input type=\\\"submit\\\" name=\\\"cmd\\\" value=\\\"\"\n\t\t\t\t\tfl += cgi.escape(value, True) + \"\\\"/></form>\"\n\t\t\t\t\treturn fl\n\n\t\t\tif obj == '':\n\t\t\t\treturn \"<br/>\"\n\n\t\t\treturn cgi.escape(obj)\n\n\t\tif isinstance(obj, list):\n\t\t\tout = \"</li><li>\".join(self.htmlize(item, rooturl) for item in obj)\n\t\t\treturn \"<ul><li>\" + out + \"</li></ul>\"\n\n\t\tif isinstance(obj, tuple):\n\t\t\tout = \"\".join(self.htmlize(item, rooturl) for item in obj)\n\t\t\treturn out\n\t\t\t#return \"<p>\" + out + \"</p>\"\n\n\t\tif isinstance(obj, dict) or isinstance(obj, weakref.WeakValueDictionary):\n\t\t\tout = \"</li><li>\".join(\n\t\t\t\t\"<b>\" + cgi.escape(repr(k)) + \"</b>: \" + self.htmlize(obj[k], rooturl)\n\t\t\t\tfor k\n\t\t\t\tin sorted(obj.iterkeys())\n\t\t\t)\n\t\t\treturn \"<ul><li>\" + out + \"</li></ul>\"\n\n\t\tif hasattr(obj, '_chiral_introspect') \\\n\t\t and hasattr(obj._chiral_introspect, 'im_self') \\\n\t\t and obj._chiral_introspect.im_self is not None:\n\t\t\treturn \"<a href=\\\"\" + cgi.escape(\n\t\t\t\trooturl + obj._chiral_introspect.__module__ + (\"/%s/%s\" % obj._chiral_introspect())\n\t\t\t) + \"\\\">\" + cgi.escape(repr(obj)) + \"</a>\"\n\n\t\treturn \"<i>\" + cgi.escape(repr(obj)) + \"</i>\"","def link(self):\n return f\"[{self.numbered_title}]({self.html_url})\"","def pformat(object):\r\n return PrettyPrinter().pformat(object)","def links(self):\n return self._links_tpl.expand(self._identity, self._record)","def _format_to_link(self, commit):\n return os.path.join(self.mount, \"commits-by-hash\", self._hash_updir(commit), commit) + \"/\"","def formatArrayHyperlink(txt, lnk, filename):\n if oapackage.oahelper.oaIsBinary(filename):\n ss = e.a(txt + e.small(\" (binary)\"), href=lnk, class_=\"binarylink\")\n else:\n ss = e.a(txt, href=lnk, class_=\"normal\")\n return ss","def __repr__(self):\n\n return '%s(%s)' % (self, self._format_entries(),)","def get_pretty_links(self, source):\n data = self.get_links(source)\n to_return = []\n for ind in data:\n if ind == '':\n continue\n if len(ind[2]) > 300:\n ind[2] = ind[2][:297] + '...'\n to_return.append([ind[1], ind[2], ind[3][0], ind[3][1]])\n if source == 'twitter':\n to_return[-1].append(ind[3][2])\n return to_return","def comma_seperated_admin_links(objs):\n anchors = []\n for obj in objs:\n anchors.append('<a href=\"%s\">%s</a>' % (get_obj_admin_path(obj), obj.title))\n return ', '.join(anchors)","def __str__(self):\n table = 'objects'.join(self.galcat.__str__().split('objects')[1:])\n return self.__repr__()+'\\n'+table","def url(self):\n if self.term_type != 'C':\n url_fmt = self.path_level_url_fmt\n url_info = {'id': self.term_type}\n else:\n url_fmt = self.obj_level_url_fmt\n url_info = {'org_prefix': self.org_prefix, 'id': self.term_id}\n\n return url_fmt % url_info","def to_html(obj):\n return highlight(\"json\", json.dumps(obj, sort_keys=False, indent=4))","def format_link(self):\n self.url = sys.argv[1]\n video_link_regex = re.compile(\n r'(https?://)?(www\\.)?youtube\\.(com|nl)/watch\\?v=([\\w-]+)')\n playlist_link_regex = re.compile(\n r'(https?://)?(www\\.)?youtube\\.(com|nl)/playlist\\?list=([\\w-]+)')\n # check if it's a single video link\n if video_link_regex.search(self.url):\n result_regex = video_link_regex.search(self.url)\n self. url = result_regex.group().split('&')[0]\n self.show_formats()\n # check if it's a playlist link\n elif playlist_link_regex.search(self.url):\n logging. debug('Yes it a playlist')\n result_regex = playlist_link_regex.search(self.url)\n playlist_link = result_regex.group().split('&')[0]\n self. get_videos_in_playlist()\n # check if link is not a youtube link\n else:\n logging.debug('Not even a yt link')\n sys. exit()","def formatted(self) -> str:\r\n ...","def __repr__ (self):\n\t\t# return (\"%s %s\" % (self.name, self.ppDate (self.modtime)))\t\n\t\tlabel = self.name\n\t\tif self.islink:\n\t\t\tlabel = \"%s (link)\" % label\n\t\tif self.isalias:\n\t\t\tlabel = \"%s (alias)\" % label\n\t\ts = ''\n\t\tif 0:\n\t\t\ts = \"%s%s (%s)\" % (myglobals.getIndent(self.level), \n\t\t\t\t\t\t\t\t self.compactDate (self.modtime),\n\t\t\t\t\t\t\t\t self.name)\n\t\t\ts += \"\\n\\t%s - \"\n\t\ts += \"%s - %s (%s)\" % (self.compactDate(self.firstTime),\n\t\t\t\t\t\t\t\t self.compactDate(self.lastTime),\n\t\t\t\t\t\t\t\t self.compactDate(self.lastLine))\n\t\treturn s;","def format_value(obj, field_name):\n display_func = getattr(obj, 'get_%s_display' % field_name, None)\n if display_func:\n return display_func()\n value = getattr(obj, field_name)\n\n if isinstance(value, models.fields.files.FieldFile):\n if value:\n return mark_safe('<a href=\"%s\">%s</a>' % (\n value.url,\n os.path.basename(value.name),\n ))\n else:\n return ''\n\n if isinstance(value, models.Model):\n return format_value_instance(value)\n\n if isinstance(value, models.Manager):\n return mark_safe(', '.join(\n [format_value_instance(instance) for instance in value.all()]\n ))\n if value is None:\n value = \"\"\n return value","def generate_link_kml(self, d):\n return \"\"\"\\\n <NetworkLink>\n <name>%(image_filename)s</name>\n <Region>\n <Lod>\n <minLodPixels>%(minlodpixels)d</minLodPixels>\n <maxLodPixels>-1</maxLodPixels>\n </Lod>\n <LatLonAltBox>\n <north>%(north).14f</north>\n <south>%(south).14f</south>\n <east>%(east).14f</east>\n <west>%(west).14f</west>\n </LatLonAltBox>\n </Region>\n <Link>\n <href>%(link_url)s</href>\n <viewRefreshMode>onRegion</viewRefreshMode>\n </Link>\n </NetworkLink>\"\"\" % d","def render(objects,\n output_encoding,\n title_force_uppercase,\n msdos_eol_style,\n omit_fields_mapping={}):","def link(self, obj):\n return format_html(\n '<a href=\"{url}\">{url}</a>',\n url='https://sms.cam.ac.uk/media/{}'.format(obj.id)\n )","def format(self, obj):\n return json.dumps(obj, sort_keys=True, indent=4, separators=(',', ': '))","def _object2style(self, selector, token):\r\n\r\n obj = self._object2style_helper(\"\", token)\r\n # insert items in the order they were found in the document\r\n minify = True\r\n if not minify:\r\n arr = [\" %s: %s;\" % (k, v) for k, v in obj.items()]\r\n body = \"\\n\".join(arr)\r\n return \"%s {\\n%s\\n}\" % (selector, body)\r\n else:\r\n arr = [\"%s:%s\" % (k, v) for k, v in obj.items()]\r\n body = \";\".join(arr)\r\n return \"%s {%s}\" % (selector, body)","def __repr__(self):\n format_string = self.__class__.__name__ + '('\n for t in self.transforms:\n format_string += f'\\n {t}'\n format_string += '\\n)'\n return format_string","def append_links(self, lines, lang):\n lines.append(\"verbatim \")\n lines.append(\"section Links\")\n lines.append(\"external http://polcasaglia.blogspot.com Blog\")\n lines.append(\"external http://www.uisp-fe.it/calcio.php UISP\" )\n lines.append(\"verbatim \")\n return lines","def reportLink(self, citName, end1, end2):\n assert citName and end1 and end2\n osh = ObjectStateHolder(citName)\n osh.setAttribute(\"link_end1\", end1)\n osh.setAttribute(\"link_end2\", end2)\n return osh","def to_markdown(self):\n s = \"[\" + self.label + \"]\"\n if self.is_reflink:\n s += \": \" + self.url\n else:\n s += \"(\" + self.url + \")\"\n return s","def __html__(self) -> str:\n components = [\n self.attributee_html,\n f'\"{self.linked_title}\"',\n self.date.string if self.date else '',\n ]\n return self.components_to_html(components)","def makeBackrefLink(self, info, g_links, i):\n atts, content, infoid, link = '', '', '', ''\n if 'def' in info:\n link = info['def']['link']\n backlink_type = link or g_links\n i_ = self.encode_high(i)\n allow_inc = i not in self.syms\n i_ = int(i_)\n\n if backlink_type == \"!\":\n return ''\n elif backlink_type == '^':\n return \"\"\"<sup><a href=\"#noteref%s\">%s</a></sup>\"\"\" % (\n info['refids'][0], i\n )\n else:\n result = []\n for refid in info['refids']:\n i_entity = self.decode_high(i_)\n sup = \"\"\"<sup><a href=\"#noteref%s\">%s</a></sup>\"\"\" % (\n refid, i_entity\n )\n if allow_inc:\n i_ += 1\n result.append(sup)\n result = ' '.join(result)\n return result","def parseDocObjectsToStrings(records, obj_type):\n for doc in records:\n for key, value in doc.items():\n # all dates should look the same\n if isinstance(value, datetime.datetime):\n doc[key] = datetime.datetime.strftime(value,\n \"%Y-%m-%d %H:%M:%S\")\n if key == \"_id\" or key == \"id\":\n doc[\"recid\"] = str(value)\n doc[\"details\"] = \"<a href='\"+getHREFLink(doc, obj_type)+\"'>\"\\\n \"<div class='icon-container'>\"\\\n \"<span class='ui-icon ui-icon-document'></span>\"\\\n \"</div>\"\\\n \"</a>\"\n elif key == \"password_reset\":\n doc['password_reset'] = None\n elif key == \"campaign\":\n camps = []\n for campdict in value:\n camps.append(campdict['name'])\n doc[key] = \"|||\".join(camps)\n elif key == \"source\":\n srcs = []\n for srcdict in doc[key]:\n srcs.append(srcdict['name'])\n doc[key] = \"|||\".join(srcs)\n elif key == \"tags\":\n tags = []\n for tag in doc[key]:\n tags.append(tag)\n doc[key] = \"|||\".join(tags)\n elif key == \"is_active\":\n if value:\n doc[key] = \"True\"\n else:\n doc[key] = \"False\"\n elif key == \"tickets\":\n tickets = []\n for ticketdict in value:\n tickets.append(ticketdict['ticket_number'])\n doc[key] = \"|||\".join(tickets)\n elif key == \"datatype\":\n doc[key] = value.keys()[0]\n elif key == \"to\":\n doc[key] = len(value)\n elif key == \"thumb\":\n doc['url'] = reverse(\"crits.screenshots.views.render_screenshot\",\n args=(unicode(doc[\"_id\"]),))\n elif key==\"results\" and obj_type == \"AnalysisResult\":\n doc[key] = len(value)\n elif isinstance(value, list):\n if value:\n for item in value:\n if not isinstance(item, basestring):\n break\n else:\n doc[key] = \",\".join(value)\n else:\n doc[key] = \"\"\n doc[key] = html_escape(doc[key])\n value = doc[key].strip()\n if isinstance(value, unicode) or isinstance(value, str):\n val = ' '.join(value.split())\n val = val.replace('\"',\"'\")\n doc[key] = val\n return records","def __str__(self):\n return self.getBooksString() + \"\\n\" + self.getPatronsString()","def user2Link(user): \n # could also look up mail addrs via a table lookup, etc\n return '<a href=\"mailto:%(user)s@somewebsite.com\">%(user)s</a>' % {\"user\": user}","def format(self) -> str:","def format_item_display(self, obj):\n return u\"%s - %s\" % (escape(obj.nombre),obj.rfc)","def get_links(self, obj):\n request = self.context['request']\n detail_name = '{}-detail'.format(get_model_name(obj.__class__))\n return {\n 'self': reverse(detail_name, kwargs={'pk': obj.pk}, request=request),\n }","def xml_add_links(cls, data):\n xml = \"\"\n chunk = '<link rel=\"%s\" href=\"%s\" title=\"%s\" />'\n links = data.pop(config.LINKS, {})\n ordered_links = OrderedDict(sorted(links.items()))\n for rel, link in ordered_links.items():\n if rel == \"related\":\n # add data relation links back for\n # future processing of hateoas attributes\n data.update({config.LINKS: {rel: link}})\n\n elif isinstance(link, list):\n xml += \"\".join(\n chunk % (rel, escape(d[\"href\"]), escape(d[\"title\"]))\n for d in link\n )\n else:\n xml += \"\".join(chunk % (rel, escape(link[\"href\"]), link[\"title\"]))\n return xml","def make_to_string(front, mid, back, empty_repr):\n \"*** YOUR CODE HERE ***\"\n def printer(lnk):\n if lnk == Link.empty:\n return empty_repr\n else:\n return front + str(lnk.first) + mid + printer(lnk.rest) + back\n return printer","def custom_links(context, obj):\n content_type = ContentType.objects.get_for_model(obj)\n custom_links = CustomLink.objects.filter(content_types=content_type, enabled=True)\n if not custom_links:\n return ''\n\n # Pass select context data when rendering the CustomLink\n link_context = {\n 'object': obj,\n 'debug': context.get('debug', False), # django.template.context_processors.debug\n 'request': context['request'], # django.template.context_processors.request\n 'user': context['user'], # django.contrib.auth.context_processors.auth\n 'perms': context['perms'], # django.contrib.auth.context_processors.auth\n }\n template_code = ''\n group_names = {}\n\n for cl in custom_links:\n\n # Organize custom links by group\n if cl.group_name and cl.group_name in group_names:\n group_names[cl.group_name].append(cl)\n elif cl.group_name:\n group_names[cl.group_name] = [cl]\n\n # Add non-grouped links\n else:\n try:\n rendered = cl.render(link_context)\n if rendered:\n template_code += LINK_BUTTON.format(\n rendered['link'], rendered['link_target'], cl.button_class, rendered['text']\n )\n except Exception as e:\n template_code += f'<a class=\"btn btn-sm btn-outline-dark\" disabled=\"disabled\" title=\"{e}\">' \\\n f'<i class=\"mdi mdi-alert\"></i> {cl.name}</a>\\n'\n\n # Add grouped links to template\n for group, links in group_names.items():\n\n links_rendered = []\n\n for cl in links:\n try:\n rendered = cl.render(link_context)\n if rendered:\n links_rendered.append(\n GROUP_LINK.format(rendered['link'], rendered['link_target'], rendered['text'])\n )\n except Exception as e:\n links_rendered.append(\n f'<li><a class=\"dropdown-item\" disabled=\"disabled\" title=\"{e}\"><span class=\"text-muted\">'\n f'<i class=\"mdi mdi-alert\"></i> {cl.name}</span></a></li>'\n )\n\n if links_rendered:\n template_code += GROUP_BUTTON.format(\n links[0].button_class, group, ''.join(links_rendered)\n )\n\n return mark_safe(template_code)","def format_url(self, url, text):\r\n return u'<a href=\"%s\">%s</a>' % (escape(url), text)","def object_view_with_links(obj, request):\n _view = _object_view(obj, request)\n obj_link = obj_ui_link = \"\"\n # UI link to the real business object referenced as topic\n if isinstance(obj, Posting):\n obj_ui_link = request.link(obj, app=get_root(request).child(\"activitystream\"))\n else:\n try:\n obj_link = request.link(obj, app=_get_collection_app(request))\n except morepath.error.LinkError:\n pass\n obj_ui_link = get_ui_link(request, obj) or \"\"\n _view.update({\n \"object_id\": obj_link,\n \"object_ui_link\": obj_ui_link})\n return _view","def get_links(self):\n links = \"\"\n if self.title != \"\":\n links += html_link_to_tag(\n plain_to_html(self.title), self.title, self.proc\n )\n return links + \\\n html_unordered_list([x.get_links() for x in self.subsections])","def link_doc(link_source, link_type, links):\n ldoc_id = link_doc_id(link_source, link_type, links)\n curr_time = datetime.datetime.utcnow()\n ldoc = {\n '_id': ldoc_id,\n 'type': 'link',\n 'time': {'year': curr_time.year,\n 'month': curr_time.month,\n 'day': curr_time.day,\n 'iso': curr_time.isoformat()\n },\n 'source': link_source,\n 'link_type': link_type,\n 'links': links\n }\n return ldoc","def format_item(self,obj):\n return unicode(obj)","def get_str(self, obj):\n if self.pretty:\n return pprint.pformat(obj)\n else:\n return str(obj)","def generate_link_attr(d: Dict):\n d.update({\"link\": urljoin(\"https://vdb-kasf1i23nr1kl2j4.rapid7.com/v1/content/\", d.get(\"identifier\"))})","def output(self):\n entry = []\n entry.append('''<entry>\n <title mode=\"escaped\" type=\"text/html\">%(title)s</title>\n <link rel=\"alternate\" type=\"text/html\" href=\"%(url)s\" />\n <issued>%(issued)s</issued>\n <modified>%(modified)s</modified>\n ''' % self.__dict__)\n \n if self.feed:\n entry.append('''<link rel=\"service.feed\" type=\"application/atom+xml\" href=\"%s\" title=\"%s\" />''' % (self.feed, self.feed_title))\n if self.comments:\n entry.append('''<link rel=\"comments\" type=\"application/atom+xml\" href=\"%s\" />''' % self.comments)\n if self.author:\n entry.append('''<author>%s</author>''' % self.author.output())\n for person in self.contributors:\n entry.append('''<contributor>%s</contributor>''' % person.output())\n if self.id:\n entry.append('''<id>%s</id>''' % self.id)\n if self.created:\n entry.append('''<created>%s</created>''' % self.created)\n if self.summary:\n entry.append('''<summary type=\"application/xhtml+xml\" xml:base=\"%s\" xml:space=\"preserve\">\n <div xmlns=\"http://www.w3.org/1999/xhtml\">%s</div></summary>''' % (self.base_url, self.summary))\n if self.content:\n #entry.append('''<content type=\"application/xhtml+xml\" xml:base=\"%s\" xml:space=\"preserve\">\n # <div xmlns=\"http://www.w3.org/1999/xhtml\">%s</div></content>''' % (self.base_url, self.content))\n entry.append('''<content type=\"text/html\" mode=\"escaped\" xml:base=\"%s\" xml:space=\"preserve\">%s</content>''' % (self.base_url, self.content))\n \n entry.append('''</entry>''')\n return '\\n'.join(entry)","def formatall(obj):\n result = \"\"\n if isinstance(obj, list):\n# i = 0\n for obj in obj:\n #printf(\">>> [%d] >>> \", i)\n result += format(obj)\n result += \"\\n\"\n# i += 1\n return result\n if isinstance(obj, dict):\n for key, value in obj.items():\n result += \"%-15s : \" % key\n result += format(value)\n result += \"\\n\"\n return result\n return format(obj)","def __init__(self, name, attrs={}):\n URLFormat.__init__(self, name, attrs)","def __init__(self, name, attrs={}):\n URLFormat.__init__(self, name, attrs)","def __init__(self, name, attrs={}):\n URLFormat.__init__(self, name, attrs)","def __init__(self, name, attrs={}):\n URLFormat.__init__(self, name, attrs)","def __repr__(self):\n dbline = ' - {0}'\n fcline = ' + {0}'\n output = ['{0} ({1})'.format(self.name, self.url)]\n output.append('-' * len(output[0]))\n output.append(' {0}'.format(self.mxd))\n for db in self._dbnames:\n output.append(dbline.format(db))\n for fc in sorted(self._datastructure[db]):\n output.append(fcline.format(fc))\n output.append('')\n output.append('')\n return '\\n'.join(output)","def __repr__(self):\n return pprint.saferepr(self.redirects)","def make_links(traceback):\r\n\r\n lwords = traceback.split('\"')\r\n\r\n # Making the short circuit compatible with <= python2.4\r\n result = (len(lwords) != 0) and lwords[0] or ''\r\n\r\n i = 1\r\n\r\n while i < len(lwords):\r\n link = make_link(lwords[i])\r\n\r\n if link == '':\r\n result += '\"' + lwords[i]\r\n else:\r\n result += link\r\n\r\n if i + 1 < len(lwords):\r\n result += lwords[i + 1]\r\n i = i + 1\r\n\r\n i = i + 1\r\n\r\n return result","def prettyformat(self):\n \n import re\n\n html = self.get_htmlsrc()\n if type(html) == type([]):\n html = html[0]\n if type(html) != type(\"\"):\n try:\n html = str(html)\n except:\n html = html.__str__()\n \n tmp = BeautifulSoup(html)\n base = self.target_baseurl()\n# aitems = tmp.findAll(\"a\",href=re.compile(\"^\\/\"))\n aitems = tmp.findAll(\"a\",href=re.compile(\"^[^hH]\"))\n for i in aitems:\n u = i['href']\n if u[0] != '/':\n i['href'] = base + '/' + u\n else: \n i['href'] = base + u\n# imgitems = tmp.findAll(\"img\",src=re.compile(\"^\\/\"))\n imgitems = tmp.findAll(\"img\",src=re.compile(\"^[^hH]\"))\n for j in imgitems:\n v = j['src']\n if v[0] != '/':\n j['src'] = base + '/' + v\n else: \n j['src'] = base + v\n return tmp","def __str__(self):\n if self.external_form:\n return self.external_form\n if self.url:\n return self.format('url')\n if self.uuid:\n return self.format('uuid')\n return self.format('path')","def format_link(attrs: Dict[tuple, str], new: bool = False):\n try:\n p = urlparse(attrs[(None, 'href')])\n except KeyError:\n # no href, probably an anchor\n return attrs\n\n if not any([p.scheme, p.netloc, p.path]) and p.fragment:\n # the link isn't going anywhere, probably a fragment link\n return attrs\n\n c = urlparse(settings.SITE_URL)\n if p.netloc != c.netloc:\n # link is external - secure and mark\n attrs[(None, 'target')] = '_blank'\n attrs[(None, 'class')] = attrs.get((None, 'class'), '') + ' external'\n attrs[(None, 'rel')] = 'nofollow noopener noreferrer'\n\n return attrs","def getExpandedLinks():","def link_the_references(obj, path):\n if not obj:\n log.bug(\"obj non è un parametro valido: %s\" % obj)\n return\n\n if not path:\n log.bug(\"path non è un parametro valido: %s\" % path)\n return\n\n # -------------------------------------------------------------------------\n\n for attr_name, attr_value in obj.__dict__.iteritems():\n if attr_name[0] == \"_\" or attr_name in obj.VOLATILES:\n continue\n\n # Cerca eventuali riferimenti da collegare alle istanze nei dati che\n # si rifanno a delle classi con altri attributi (che quindi hanno un\n # modulo da dove reperirle)\n if attr_name in obj.SCHEMA and obj.SCHEMA[attr_name][0]:\n if isinstance(attr_value, list):\n for i, sub_value in enumerate(attr_value):\n sub_path = \"%s.%s[%s]\" % (path, attr_name, i)\n link_the_references(sub_value, sub_path)\n elif isinstance(attr_value, dict):\n for key, sub_value in attr_value.iteritems():\n sub_path = \"%s.%s[%s]\" % (path, attr_name, repr(key))\n link_the_references(sub_value, sub_path)\n elif attr_value:\n link_the_references(attr_value, \"%s.%s\" % (path, attr_name))\n\n # Se la variabile si trova nel dizionario REFERENCES della classe\n # allora probabilmente è un dato precedentemente acquisito come\n # stringa ma che deve essere convertito al riferimento di dato\n elif attr_name in obj.REFERENCES or attr_name in obj.WEAKREFS:\n # La variabile di riferimento può benissimo essere None, già di\n # default è così, significa che non ha trovato nessuna etichetta\n # relativa nel file del dato, questo è normale per etichette\n # facoltative\n if attr_value is None:\n continue\n\n # Se la variabile si trova nel dizionario WEAKREFS della classe\n # si comporta come una variabile relativa alle REFERENCES\n # tuttavia se questa viene rimossa dal gioco il riferimento\n # debole va a mancare automaticamente\n if attr_name in obj.WEAKREFS:\n table_names = obj.WEAKREFS[attr_name]\n else:\n # Le tabelle per la ricerca del riferimento possono essere più\n # d'una, ognuna delle quali però deve possere delle chiavi\n # differenti tra loro (come per esempio il database dei mob\n # e quello degli oggetti)\n table_names = obj.REFERENCES[attr_name]\n\n # Se var è una stringa allora cerca il riferimento tra le tabelle\n if isinstance(attr_value, basestring):\n var = _search_the_reference(attr_name, attr_value, table_names, path)\n if var and attr_name in obj.WEAKREFS:\n setattr(obj, attr_name, weakref.ref(var or None))\n else:\n setattr(obj, attr_name, var or None)\n # Se var è una lista allora deve trovare tutti i riferimenti di\n # ogni elemento che sono identificati da un codice-stringa\n elif type(attr_value) == list:\n new_list = []\n for v in attr_value:\n value = _search_the_reference(attr_name, v, table_names, path)\n if value:\n if attr_name in obj.WEAKREFS:\n new_list.append(weakref.ref(value))\n else:\n new_list.append(value)\n setattr(obj, attr_name, new_list)\n elif type(attr_value) == dict:\n # (TD)\n raise NotImplementedError","def print_link(link):\n print('<' + helper(link).rstrip() + '>')","def _inline(line):\n if len(line) == 0:\n return ''\n\n # Regexp of protocols supported in hyperlinks (should be protocols that\n # we can expect web browsers to support)\n protocols = \"https?|ftp|sftp|file|afs|nfs\"\n\n\n # Prepare usual links: prefix every \"www.\" with \"http://\"\n # unless there is a // before\n line = re.sub('(^|\\s|[^\\/])(www\\.)', '\\\\1http://\\\\2', line, re.I);\n\n # replace the @ sign with an HTML entity, if it is used within\n # an url (e.g. for pointers to mailing lists). This way, the\n # @ sign doesn't get mangled in the e-mail markup code\n # below. See bug #2689 on http://gna.org/ for reference.\n line = re.sub(\"([a-z]+://[^<>[:space:]]+)@\", \"\\\\1@\", line, re.I)\n\n # Prepare the markup for normal links, e.g. http://test.org, by\n # surrounding them with braces []\n # (& = begin of html entities, it means a end of string unless\n # it is & which itself is the entity for &)\n line = re.sub('(^|\\s|[^\\[])((' + protocols + '):\\/\\/(&|[^\\s&]+[a-z0-9\\/^])+)',\n '\\\\1[\\\\2]', line, re.I)\n\n # do a markup for mail links, e.g. info@support.org\n # (do not use utils_emails, this does extensive database\n # search on the string\n # and replace addresses in several fashion. Here we just want to make\n # a link). Make sure that 'cvs -d:pserver:anonymous@cvs.sv.gnu.org:/...'\n # is NOT replaced.\n line = re.sub(\"(^|\\s)([a-z0-9_+-.]+@([a-z0-9_+-]+\\.)+[a-z]+)(\\s|$)\",\n '\\\\1' + '<a href=\"mailto:\\\\2\">\\\\2</a>' + '\\\\4', line, re.I)\n\n # Links between items\n # FIXME: it should be i18n, but in a clever way, meaning that everytime\n # a form is submitted with such string, the string get converted in\n # english so we always get the links found without having a regexp\n # including every possible language.\n # Trackers URLs disabled until trackers are actually implemented :)\n #trackers = {\n # \"bugs?\" : \"bugs/?\",\n # \"support|sr\" : \"support/?\",\n # \"tasks?\" : \"task/?\",\n # \"patch\" : \"patch/?\",\n # # In this case, we make the link pointing to support, it wont matter,\n # # the download page is in every tracker and does not check if the tracker\n # # is actually used\n # \"files?\" : \"support/download.php?file_id=\",\n # }\n #for regexp,link in trackers:\n # # Allows only two white space between the string and the numeric id\n # # to avoid having too time consuming regexp. People just have to pay\n # # attention.\n # line = re.sub(\"(^|\\s|\\W)($regexp)\\s{0,2}#([0-9]+)\",\n # '\\1<em><a href=\"' + 'sys_home'\n # + link + '\\\\3\">\\\\2 #\\\\3</a></em>',\n # line, re.I)\n\n # add an internal link for comments\n line = re.sub('(comments?)\\s{0,2}#([0-9]+)',\n '<em><a href=\"#comment\\\\2\">\\\\1 #\\\\2</a></em>',\n line, re.I)\n\n # Add support for named hyperlinks, e.g.\n # [http://savane-forge.org/ Text] -> <a href=\"http://savane-forge.org/\">Text</a>\n line = re.sub(\n # find the opening brace '['\n '\\['\n # followed by the protocol, either http:// or https://\n + '((' + protocols + '):\\/\\/'\n # match any character except whitespace or the closing\n # brace ']' for the actual link\n + '[^\\s\\]]+)'\n # followed by at least one whitespace\n + '\\s+'\n # followed by any character (non-greedy) and the\n # next closing brace ']'\n + '(.+?)\\]',\n '<a href=\"\\\\1\">\\\\3</a>', line)\n\n # Add support for unnamed hyperlinks, e.g.\n # [http://savane-forge.org/] -> <a href=\"http://savane-forge.org/\">http://savane-forge.org/</a> \n line = re.sub(\n # find the opening brace '['\n '\\['\n # followed by the protocol, either http:// or https://\n # (FIXME: which protocol does it makes sense to support, which one\n # should we ignore?)\n + '((' + protocols + '):\\/\\/'\n # match any character except whitespace (non-greedy) for\n # the actual link, followed by the closing brace ']'\n + '[^\\s]+?)\\]',\n '<a href=\"\\\\1\">\\\\1</a>', line)\n\n # *word* -> <strong>word</strong>\n line = re.sub(\n # find an asterisk\n '\\*'\n # then one character (except a space or asterisk)\n + '([^* ]'\n # then (optionally) any character except asterisk\n + '[^*]*?)'\n # then an asterisk\n + '\\*',\n '<strong>\\\\1</strong>', line)\n\n # _word_ -> <em>word</em>\n line = re.sub(\n # allow for the pattern to start at the beginning of a line.\n # if it doesn't start there, the character before the slash\n # must be either whitespace or the closing brace '>', to\n # allow for nested html tags (e.g. <p>_markup_</p>).\n # Additionally, the opening brace may appear.\n # See bug #10571 on http://gna.org/ for reference.\n '(^|\\s+|>|\\()'\n # match the underscore\n + '_'\n # match any character (non-greedy)\n + '(.+?)'\n # match the ending underscore and either end of line or\n # a non-word character\n + '_(\\W|$)',\n '\\\\1<em>\\\\2</em>\\\\3',\n line)\n\n return line","def __str__(self) -> str:\n outstr = self.access\n if self.demux is not None:\n outstr += \"/\" + self.demux\n outstr += \"://\" + self.url\n if self.title is not None or \\\n self.chapter is not None or \\\n self.endtitle is not None or \\\n self.endchapter is not None:\n outstr += '#'\n if self.title is not None:\n outstr += self.title\n if self.chapter is not None:\n outstr += \":\" + self.chapter\n if self.endtitle is not None or \\\n self.endchapter is not None:\n outstr += '-'\n if self.endtitle is not None:\n outstr += self.endtitle\n if self.endchapter is not None:\n outstr += ':' + self.endchapter\n if self.options is not None:\n for option in self.options.items():\n outstr += ' :' + option\n return outstr","def antweb_links(request, format='csv'):\n\n\n\ttaxonomy = []\n\tif request.GET.get('taxon_code'):\n\t\ttaxonomy = Taxonomy.objects.raw(\"\"\"\n\t\tSELECT taxon_code, subfamily_name, genus_name, species_name\n\t\tFROM map_taxonomy_list\n\t\tWHERE taxon_code = %s\n\t\t\"\"\", [request.GET.get('taxon_code')])\n\t\t\n\t\t# serialize to JSON\n\t\tjson_objects = [{'key': t.taxon_code, 'speciesName': t.species_name, 'genusName': t.genus_name, 'subfamilyName': t.subfamily_name} for t in taxonomy]\n\t\t\n\t\treturn JSONResponse({'taxonomy': json_objects})\n\t\t\n\telif request.GET.get('genus_name'):\n\t\ttaxonomy = Taxonomy.objects.raw(\"\"\"\n\t\tSELECT genus_name, subfamily_name,taxon_code\n\t\tFROM map_taxonomy_list\n\t\tWHERE genus_name = %s\n\t\tGROUP BY genus_name, subfamily_name,taxon_code\n\t\t\"\"\", [request.GET.get('genus_name')])\n\t\t\n\t\t# serialize to JSON\n\t\tjson_objects = [{'key': t.genus_name, 'subfamilyName': t.subfamily_name} for t in taxonomy]\n\t\t\n\t\treturn JSONResponse({'taxonomy': json_objects})\n\t\n\telse:\n\t\treturn JSONResponse({'taxonomy': []})","def format_link(self, link):\n new_link = \"/\".join(link.split(\"/\")[0:3])\n return \"http://www.imdb.com\" + new_link","def __str__ (self) :\n\t\ttext_rule = \"\"\n\t\t\n\t\tfor key, rules in self.production_rules.items() :\n\t\t\ttext_rule += \"\\nRULE \" + key + \" = [\\n\\t\"\n\t\t\trule_in_a_line = []\n\t\t\tfor rule in rules :\n\t\t\t\t#rule_in_a_line.append(\" + \".join([r.val+\"(\"+r.type+\")\" for r in rule]))\n\t\t\t\trule_in_a_line.append(\" + \".join([r.__str__() for r in rule]))\n\t\t\ttext_rule += \"\\n\\t\".join(rule_in_a_line) + \"\\n]\"\n\t\ttext_rule += \"\\n\\n\"\n\t\t\n\t\ttext_rule += \"LABELS = \" + json.dumps (self.labels, indent=2) + '\\n\\n'\n\n\t\ttext_rule += \"STRUCT = [\\n{}\\n]\\n\\n\".format(\n\t\t\t\"\".join([\n\t\t\t\t\"\\t{} : {{\\n\\t\\t{}\\n\\t}}\\n\".format (\n\t\t\t\t\tkey, \", \\n\\t\\t\".join(val)\n\t\t\t\t) for key, val in self.keeper.items()\n\t\t\t])\n\t\t)\n\t\ttext_rule += \"STRNODE = [\\n{}\\n]\\n\\n\".format(\n\t\t\t\"\".join(self.strnodes)\n\t\t)\n\t\tfor regex, label in self.tokens :\n\t\t\ttext_rule += \"TOKEN \" + label + \" = regex('\" + regex + \"')\\n\"\n\n\t\treturn text_rule","def __repr__(self):\n args = []\n if self.name != \"alpha\":\n args.append(repr(self.name))\n if self.propertiesstr:\n args.append(repr(self.propertiesstr))\n elif self.propertiesstr:\n args.append(\"attr=%r\" % self.propertiesstr)\n return \"%s(%s)\" % (type(self).__name__, \", \".join(args))"],"string":"[\n \"def object_formatter(v, c, m, p):\\n return Markup('<a href=\\\"{0}\\\">{1}</a>'.format(\\n link_func(m), text))\",\n \"def __repr__(self):\\n if self.rest:\\n rest_repr = ', ' + repr(self.rest)\\n else:\\n rest_repr = ''\\n return 'Link({0}{1})'.format(self.first, rest_repr)\",\n \"def linkify(obj, link_text=''):\\n try:\\n lst = []\\n # if obj is not a list, convert it into a list\\n if not getattr(obj, '__iter__', False):\\n obj = [obj]\\n for item in obj:\\n if hasattr(item, 'child'):\\n item = item.child\\n if link_text == '':\\n l_text = unicode(item)\\n else:\\n try:\\n link_text = link_text.encode('ascii')\\n l_text = getattr(item, link_text, link_text)\\n except UnicodeEncodeError:\\n l_text = link_text\\n if not (isinstance(item, Content) and\\n isinstance(l_text, SafeText)):\\n l_text = filter.force_escape(l_text)\\n format_args = (item.get_absolute_url(), l_text)\\n lst.append(mark_safe('<a href=\\\\'%s\\\\'>%s</a>' % format_args))\\n\\n # nonlists obj's should be returned as nonlists\\n return lst[0] if len(lst) == 1 else lst\\n except:\\n return ''\",\n \"def fmt(e):\\n name = str(e.label.first() if hasattr(e, 'label') and e.label else e)\\n if re.match(r'^[a-z]+://', name):\\n return link.format(name=name, url=name)\\n if hasattr(e, 'label') and e.label:\\n name = e.label.first()\\n url = name if re.match(r'^[a-z]+://', name) else '#' + name\\n return link.format(name=name, url=url)\\n elif re.match(r'^[a-z]+://', str(e)):\\n return link.format(name=e, url=e)\\n else:\\n return str(e).replace('owl.', 'owl:')\",\n \"def __repr__(self):\\n ## return str(self.first) + \\\" -> \\\" + repr(self.rest)\\n if self.rest is Link.empty:\\n rest_str = \\\"\\\"\\n else:\\n rest_str = \\\", \\\" + repr(self.rest)\\n return \\\"Link({0}{1})\\\".format(self.first, rest_str)\",\n \"def __str__(self):\\n\\t\\treturn '{0} ({1})'.format (self.name, self.link)\",\n \"def format(self, obj):\\n pass\",\n \"def format(self, obj):\\n pass\",\n \"def __repr__(self):\\n if self.rest is Link.empty:\\n rest = ''\\n else:\\n rest = ', ' + repr(self.rest)\\n return 'Link({0}{1})'.format(self.first, rest)\",\n \"def format_link_segment(value):\\n format_type = json_api_settings.FORMAT_RELATED_LINKS\\n return format_value(value, format_type)\",\n \"def href(obj):\\n if isinstance(obj, Filing):\\n return reverse('filing', args=(obj.region, obj.name, obj.period_name))\\n else:\\n raise ValueError('cannot build a URL for {}.{} objects'.format(\\n type(obj).__module__, type(obj).__name__))\",\n \"def __str__(self):\\n return '<a href=\\\"%s\\\" class=\\\"%s\\\" %s>%s</a>' % (self.url, self.cssclass, self.options, self.text)\",\n \"def to_html(self) -> str:\\n return f'''\\n <a href=\\\"{self.link}\\\"> ({self.source_name}, {self.timestamp.strftime('%Y')}) </a>\\n '''\",\n \"def linkified_description(self):\\n links = []\\n def linkify(matchobj, links=links):\\n if '|' in matchobj.group(1):\\n url = matchobj.group(1).split('|')\\n link = format_html('<a href=\\\"{0}\\\" target=\\\"_blank\\\">{1}</a>', url[0], url[1])\\n else:\\n link = format_html('<a href=\\\"{0}\\\" target=\\\"_blank\\\">{1}</a>', self.url, matchobj.group(1))\\n links.append(link)\\n return '{%d}' % (len(links) - 1)\\n\\n fmt = re.sub(r'\\\\[\\\\[([^\\\\]]+)\\\\]\\\\]', linkify, self.description)\\n return format_html(fmt, *links)\",\n \"def link(self, obj):\\n return format_html(\\n '<a href=\\\"{url}\\\">{url}</a>',\\n url='https://sms.cam.ac.uk/collection/{}'.format(obj.id)\\n )\",\n \"def linkify(field_name):\\n def _linkify(obj):\\n linked_obj = getattr(obj, field_name)\\n if linked_obj is None:\\n return '-'\\n app_label = linked_obj._meta.app_label\\n model_name = linked_obj._meta.model_name\\n view_name = f'admin:{app_label}_{model_name}_change'\\n link_url = reverse(view_name, args=[linked_obj.pk])\\n return format_html('<a href=\\\"{}\\\">{}</a>', link_url, linked_obj)\\n\\n _linkify.short_description = field_name # Sets column name\\n return _linkify\",\n \"def linkify(field_name):\\n\\n def _linkify(obj):\\n linked_obj = getattr(obj, field_name)\\n if linked_obj is None:\\n return '-'\\n app_label = linked_obj._meta.app_label\\n model_name = linked_obj._meta.model_name\\n view_name = f'admin:{app_label}_{model_name}_change'\\n link_url = reverse(view_name, args=[linked_obj.pk])\\n return format_html('<a href=\\\"{}\\\">{}</a>', link_url, linked_obj)\\n\\n _linkify.short_description = field_name # Sets column name\\n return _linkify\",\n \"def _format_obj(cls, **kwargs):\\n def doc_rebuilder(obj):\\n if kwargs.pop('_VOID_',False):\\n return ''\\n try:\\n doc = getattr(obj,'__doc__')\\n assert doc\\n except:\\n return ''\\n else:\\n return doc.format(**kwargs) # str(doc).format(**kwargs)\\n return doc_rebuilder\",\n \"def generate_link(resources):\\n\\n links = \\\"\\\"\\n for i, resource in enumerate(resources):\\n link = \\\"<\\\" + resource[\\\"path\\\"] + \\\">\\\"\\n if \\\"parameters\\\" in resource:\\n for parameter in resource[\\\"parameters\\\"]:\\n link += \\\";\\\" + str(parameter) + \\\"=\\\" + str(resource[\\\"parameters\\\"][parameter])\\n links += link\\n if i != len(resources) - 1:\\n links += \\\",\\\"\\n return links\",\n \"def pretty(self, **kwargs):\\r\\n raise NotImplementedError\",\n \"def gen_links(text):\\n return []\",\n \"def deriveLinkfromObject(obj, scale=1, parent_link=True, parent_objects=True,\\n reparent_children=True, nameformat='', scaleByBoundingBox=False):\\n log('Deriving link from ' + nUtils.getObjectName(obj), level=\\\"INFO\\\")\\n # create armature/bone\\n bUtils.toggleLayer('link', True)\\n bpy.ops.object.select_all(action='DESELECT')\\n bpy.ops.object.armature_add()\\n newlink = bpy.context.active_object\\n newlink.name = obj.name + \\\"_link\\\"\\n newlink.matrix_world = obj.matrix_world\\n newlink.phobostype = 'link'\\n if scaleByBoundingBox:\\n bound_box = (\\n max([c[0] for c in obj.bound_box]),\\n max([c[1] for c in obj.bound_box]),\\n max([c[2] for c in obj.bound_box]),\\n )\\n newlink.scale = [max(bound_box)*scale] * 3\\n else:\\n newlink.scale = [scale] * 3\\n if obj.parent is not None and parent_link:\\n eUtils.parentObjectsTo(newlink, obj.parent)\\n if parent_objects:\\n eUtils.parentObjectsTo(obj, newlink)\\n if reparent_children:\\n eUtils.parentObjectsTo(list(obj.children), newlink)\\n if bpy.context.scene.phoboswireframesettings.links:\\n newlink.display_type = \\\"WIRE\\\"\\n return newlink\",\n \"def getLink(self):\",\n \"def _format(self):\\n output = f\\\"\\\\n{color('>>> DUMP')} from {self.filename}: {color(f'L{self.line}')} in {color(f'{self.method}()')}\\\"\\n\\n for name, obj in self.objects.items():\\n output += f\\\"\\\\n\\\\n{color(f' - {name}:')}\\\\n\\\"\\n output += f\\\" {pformat(obj, width=110, indent=4)}\\\"\\n\\n output += color(\\\"\\\\n\\\\n<<< END\\\")\\n return output\",\n \"def format(self):\\n ...\",\n \"def format_element(bfo, links=\\\"no\\\", category=\\\"yes\\\", mirrors=\\\"yes\\\"):\\n\\n arxiv=get_arxiv(bfo, category=\\\"no\\\")\\n\\n if len(arxiv) == 0:\\n return\\n\\n out = ''\\n if links == 'yes':\\n arxiv_ref = arxiv[0] # Take only first one\\n out += '''\\n<a href=\\\"http://arXiv.org/abs/%(ref)s\\\">Abstract</a> and\\n<a href=\\\"http://arXiv.org/ps/%(ref)s\\\">Postscript</a>\\n and <a href=\\\"http://arXiv.org/pdf/%(ref)s\\\">PDF</a> from arXiv.org'''% \\\\\\n {'ref': arxiv_ref}\\n\\n if mirrors.lower()=='yes':\\n out+='''\\n (mirrors:\\n<a href=\\\"http://au.arXiv.org/abs/%(ref)s\\\">au</a>\\n\\n<a href=\\\"http://br.arXiv.org/%(ref)s\\\">br</a>\\n<a href=\\\"http://cn.arXiv.org/abs/%(ref)s\\\">cn</a>\\n<a href=\\\"http://de.arXiv.org/abs/%(ref)s\\\">de</a>\\n<a href=\\\"http://es.arXiv.org/abs/%(ref)s\\\">es</a>\\n<a href=\\\"http://fr.arXiv.org/abs/%(ref)s\\\">fr</a>\\n<a href=\\\"http://il.arXiv.org/abs/%(ref)s\\\">il</a>\\n<a href=\\\"http://in.arXiv.org/abs/%(ref)s\\\">in</a>\\n<a href=\\\"http://it.arXiv.org/abs/%(ref)s\\\">it</a>\\n<a href=\\\"http://jp.arXiv.org/abs/%(ref)s\\\">jp</a>\\n<a href=\\\"http://kr.arXiv.org/abs/%(ref)s\\\">kr</a>\\n<a href=\\\"http://ru.arXiv.org/abs/%(ref)s\\\">ru</a>\\n<a href=\\\"http://tw.arXiv.org/abs/%(ref)s\\\">tw</a>\\n<a href=\\\"http://uk.arXiv.org/abs/%(ref)s\\\">uk</a>\\n<a href=\\\"http://aps.arXiv.org/abs/%(ref)s\\\">aps</a>\\n<a href=\\\"http://lanl.arXiv.org/abs/%(ref)s\\\">lanl</a>)''' % \\\\\\n {'ref': arxiv_ref}\\n\\n\\n else: # print only value\\n out = ', '.join(get_arxiv(bfo,category))\\n\\n return out\",\n \"def __str__(self, printODData = False):\\n networkStr = \\\"Link\\\\tFlow\\\\tCost\\\\n\\\"\\n for ij in sorted(self.link, key=lambda ij : self.link[ij].sortKey):\\n networkStr += \\\"%s\\\\t%f\\\\t%f\\\\n\\\" % (ij, self.link[ij].flow, self.link[ij].cost)\\n if printODData == True:\\n networkStr += \\\"\\\\n\\\"\\n networkStr += \\\"OD pair\\\\tDemand\\\\tLeastCost\\\\n\\\"\\n for ODpair in self.ODpair:\\n networkStr += \\\"%s\\\\t%f\\\\t%f\\\\n\\\" % (ODpair, self.ODpair[ODpair].demand, self.ODpair[ODpair].leastCost)\\n return networkStr\",\n \"def detail_link(db_obj, text=None):\\n\\n def build_link(obj):\\n name = str(obj) if text is None else text\\n return _make_link(obj.detail_url(), name)\\n\\n return mark_safe(', '.join(map(build_link, as_list(db_obj))))\",\n \"def undo_format_link_segment(value):\\n\\n if json_api_settings.FORMAT_RELATED_LINKS:\\n return format_value(value, \\\"underscore\\\")\\n\\n return value\",\n \"def format(obj): # pylint: disable=W0622\\n# print '>>', obj\\n if hasattr(obj, 'format'):\\n return obj.format()\\n return \\\"%s\\\" % obj\",\n \"def pybb_link(object, anchor=''):\\n\\n url = hasattr(object, 'get_absolute_url') and object.get_absolute_url() or None\\n #noinspection PyRedeclaration\\n anchor = anchor or smart_text(object)\\n return mark_safe('<a href=\\\"%s\\\">%s</a>' % (url, escape(anchor)))\",\n \"def _generate_links(self):\\n index = 0\\n links = \\\"\\\"\\n for ch in self.text:\\n if ch == '[':\\n links += \\\"(^\\\"\\n elif ch == ']':\\n links += \\\")$|\\\"\\n index += 1\\n elif links[-1:] != '|' and links != \\\"\\\":\\n links += ch\\n self.links = compile(links[:-1].lower())\",\n \"def exportLineageLink(fromObject, toObject, linkType, csvFile):\\n # TODO: add error checking\\n row = [linkType, \\\"\\\", \\\"\\\", fromObject, toObject]\\n csvFile.writerow(row)\\n return\",\n \"def __str__(self) -> str:\\n obj_dict: Dict[str, Any] = {}\\n obj_dict[\\\"doc\\\"] = self.doc\\n obj_dict[\\\"type\\\"] = self.type\\n obj_dict[\\\"name\\\"] = self.name\\n\\n line_range = self.line_range()\\n obj_dict[\\\"start_line\\\"] = line_range[0]\\n obj_dict[\\\"end_line\\\"] = line_range[1]\\n\\n obj_dict[\\\"children\\\"] = []\\n\\n for child in self.children.values():\\n obj_dict[\\\"children\\\"].append(json.loads(str(child)))\\n\\n return json.dumps(obj_dict)\",\n \"def format_element(bfo, style, separator='; ', elec_loc_field='1'):\\n\\n urls = []\\n coll = bfo.field('960__a')\\n\\n if '1' in elec_loc_field:\\n urls = bfo.fields('8564_')\\n\\n if '2' in elec_loc_field:\\n urls.extend(bfo.fields('85642'))\\n\\n out = []\\n\\n if style != \\\"\\\":\\n style = 'class=\\\"'+style+'\\\"'\\n\\n for url in urls:\\n if coll in ['31', '32'] and \\\\\\n url.get('x', '') == 'map':\\n # Periodicals\\n continue\\n\\n elif coll in ['74', '75'] and \\\\\\n 'BUL-SA-' not in bfo.field('037__a') and \\\\\\n bfo.field('088__a'):\\n # Weekly bulletin\\n continue\\n\\n\\n elif url.has_key('u'):\\n\\n label = url.get('y', '')\\n if coll in ['60', '61', '62', '63', '69'] or \\\\\\n coll in ['81', '82', '83', '84', '86','87','88', '89', '115', '117']:\\n # Council documents +\\n # Photos\\n label = escape(url.get('z', ''))\\n if label.lower() in ['', 'access to fulltext document', 'access to document', 'full text']:\\n label = \\\"Fulltext\\\"\\n if label.lower() in ['audio files']:\\n label = '<img src=http://cdsweb.cern.ch/img/speaker.png border=\\\"0\\\">' + \\\\\\n label\\n\\n\\n link = '<a ' + style + ' href=\\\"' + url['u'] + '\\\">' + \\\\\\n label + '</a>'\\n out.append(link)\\n\\n if coll == '05':\\n file_numbers = bfo.field('927__a')\\n for file_number in file_numbers:\\n if '-' in file_number or '_' in file_number:\\n link = '<a href=\\\"http://doc.cern.ch/cgi-bin/setlink?base=pauli&categ=&id=\\\"%s\\\">Fulltext</a>' % file_number\\n out.append(link)\\n\\n if coll in ['74', '75'] and \\\\\\n 'BUL-SA-' not in bfo.field('037__a') and \\\\\\n bfo.field('088__a'):\\n # Weekly bulletin\\n link = 'Published in <a href=\\\"http://bulletin.cern.ch/eng/bulletin.php?bullno=' + \\\\\\n bfo.field('088__a') +'\\\">CERN weekly bulletin ' + bfo.field('088__a') + '</a>' + \\\\\\n ' (' + bfo.field('260__c') + ')'\\n out.append(link)\\n\\n return separator.join(out)\",\n \"def render(links, enum=False):\\n if not enum:\\n return \\\"\\\\n\\\".join(links)\\n return \\\"\\\\n\\\".join(\\\"%s. %s\\\" % ((i + 1), l) for i, l in enumerate(links))\",\n \"def htmlize(self, obj, rooturl):\\n\\n\\t\\tif isinstance(obj, basestring):\\n\\t\\t\\tif obj.startswith(\\\"@\\\"):\\n\\n\\t\\t\\t\\t# Button link...\\n\\t\\t\\t\\ttry:\\n\\t\\t\\t\\t\\tmod, ns, objid, value = obj[1:].split(\\\":\\\")\\n\\t\\t\\t\\texcept ValueError:\\n\\t\\t\\t\\t\\tpass\\n\\t\\t\\t\\telse:\\n\\t\\t\\t\\t\\ttarget_url = rooturl + mod + \\\"/\\\" + ns + \\\"/\\\" + objid\\n\\t\\t\\t\\t\\tfl = \\\"<form method=\\\\\\\"post\\\\\\\" action=\\\\\\\"\\\" + cgi.escape(target_url, True)\\n\\t\\t\\t\\t\\tfl += \\\"\\\\\\\"><input type=\\\\\\\"submit\\\\\\\" name=\\\\\\\"cmd\\\\\\\" value=\\\\\\\"\\\"\\n\\t\\t\\t\\t\\tfl += cgi.escape(value, True) + \\\"\\\\\\\"/></form>\\\"\\n\\t\\t\\t\\t\\treturn fl\\n\\n\\t\\t\\tif obj == '':\\n\\t\\t\\t\\treturn \\\"<br/>\\\"\\n\\n\\t\\t\\treturn cgi.escape(obj)\\n\\n\\t\\tif isinstance(obj, list):\\n\\t\\t\\tout = \\\"</li><li>\\\".join(self.htmlize(item, rooturl) for item in obj)\\n\\t\\t\\treturn \\\"<ul><li>\\\" + out + \\\"</li></ul>\\\"\\n\\n\\t\\tif isinstance(obj, tuple):\\n\\t\\t\\tout = \\\"\\\".join(self.htmlize(item, rooturl) for item in obj)\\n\\t\\t\\treturn out\\n\\t\\t\\t#return \\\"<p>\\\" + out + \\\"</p>\\\"\\n\\n\\t\\tif isinstance(obj, dict) or isinstance(obj, weakref.WeakValueDictionary):\\n\\t\\t\\tout = \\\"</li><li>\\\".join(\\n\\t\\t\\t\\t\\\"<b>\\\" + cgi.escape(repr(k)) + \\\"</b>: \\\" + self.htmlize(obj[k], rooturl)\\n\\t\\t\\t\\tfor k\\n\\t\\t\\t\\tin sorted(obj.iterkeys())\\n\\t\\t\\t)\\n\\t\\t\\treturn \\\"<ul><li>\\\" + out + \\\"</li></ul>\\\"\\n\\n\\t\\tif hasattr(obj, '_chiral_introspect') \\\\\\n\\t\\t and hasattr(obj._chiral_introspect, 'im_self') \\\\\\n\\t\\t and obj._chiral_introspect.im_self is not None:\\n\\t\\t\\treturn \\\"<a href=\\\\\\\"\\\" + cgi.escape(\\n\\t\\t\\t\\trooturl + obj._chiral_introspect.__module__ + (\\\"/%s/%s\\\" % obj._chiral_introspect())\\n\\t\\t\\t) + \\\"\\\\\\\">\\\" + cgi.escape(repr(obj)) + \\\"</a>\\\"\\n\\n\\t\\treturn \\\"<i>\\\" + cgi.escape(repr(obj)) + \\\"</i>\\\"\",\n \"def link(self):\\n return f\\\"[{self.numbered_title}]({self.html_url})\\\"\",\n \"def pformat(object):\\r\\n return PrettyPrinter().pformat(object)\",\n \"def links(self):\\n return self._links_tpl.expand(self._identity, self._record)\",\n \"def _format_to_link(self, commit):\\n return os.path.join(self.mount, \\\"commits-by-hash\\\", self._hash_updir(commit), commit) + \\\"/\\\"\",\n \"def formatArrayHyperlink(txt, lnk, filename):\\n if oapackage.oahelper.oaIsBinary(filename):\\n ss = e.a(txt + e.small(\\\" (binary)\\\"), href=lnk, class_=\\\"binarylink\\\")\\n else:\\n ss = e.a(txt, href=lnk, class_=\\\"normal\\\")\\n return ss\",\n \"def __repr__(self):\\n\\n return '%s(%s)' % (self, self._format_entries(),)\",\n \"def get_pretty_links(self, source):\\n data = self.get_links(source)\\n to_return = []\\n for ind in data:\\n if ind == '':\\n continue\\n if len(ind[2]) > 300:\\n ind[2] = ind[2][:297] + '...'\\n to_return.append([ind[1], ind[2], ind[3][0], ind[3][1]])\\n if source == 'twitter':\\n to_return[-1].append(ind[3][2])\\n return to_return\",\n \"def comma_seperated_admin_links(objs):\\n anchors = []\\n for obj in objs:\\n anchors.append('<a href=\\\"%s\\\">%s</a>' % (get_obj_admin_path(obj), obj.title))\\n return ', '.join(anchors)\",\n \"def __str__(self):\\n table = 'objects'.join(self.galcat.__str__().split('objects')[1:])\\n return self.__repr__()+'\\\\n'+table\",\n \"def url(self):\\n if self.term_type != 'C':\\n url_fmt = self.path_level_url_fmt\\n url_info = {'id': self.term_type}\\n else:\\n url_fmt = self.obj_level_url_fmt\\n url_info = {'org_prefix': self.org_prefix, 'id': self.term_id}\\n\\n return url_fmt % url_info\",\n \"def to_html(obj):\\n return highlight(\\\"json\\\", json.dumps(obj, sort_keys=False, indent=4))\",\n \"def format_link(self):\\n self.url = sys.argv[1]\\n video_link_regex = re.compile(\\n r'(https?://)?(www\\\\.)?youtube\\\\.(com|nl)/watch\\\\?v=([\\\\w-]+)')\\n playlist_link_regex = re.compile(\\n r'(https?://)?(www\\\\.)?youtube\\\\.(com|nl)/playlist\\\\?list=([\\\\w-]+)')\\n # check if it's a single video link\\n if video_link_regex.search(self.url):\\n result_regex = video_link_regex.search(self.url)\\n self. url = result_regex.group().split('&')[0]\\n self.show_formats()\\n # check if it's a playlist link\\n elif playlist_link_regex.search(self.url):\\n logging. debug('Yes it a playlist')\\n result_regex = playlist_link_regex.search(self.url)\\n playlist_link = result_regex.group().split('&')[0]\\n self. get_videos_in_playlist()\\n # check if link is not a youtube link\\n else:\\n logging.debug('Not even a yt link')\\n sys. exit()\",\n \"def formatted(self) -> str:\\r\\n ...\",\n \"def __repr__ (self):\\n\\t\\t# return (\\\"%s %s\\\" % (self.name, self.ppDate (self.modtime)))\\t\\n\\t\\tlabel = self.name\\n\\t\\tif self.islink:\\n\\t\\t\\tlabel = \\\"%s (link)\\\" % label\\n\\t\\tif self.isalias:\\n\\t\\t\\tlabel = \\\"%s (alias)\\\" % label\\n\\t\\ts = ''\\n\\t\\tif 0:\\n\\t\\t\\ts = \\\"%s%s (%s)\\\" % (myglobals.getIndent(self.level), \\n\\t\\t\\t\\t\\t\\t\\t\\t self.compactDate (self.modtime),\\n\\t\\t\\t\\t\\t\\t\\t\\t self.name)\\n\\t\\t\\ts += \\\"\\\\n\\\\t%s - \\\"\\n\\t\\ts += \\\"%s - %s (%s)\\\" % (self.compactDate(self.firstTime),\\n\\t\\t\\t\\t\\t\\t\\t\\t self.compactDate(self.lastTime),\\n\\t\\t\\t\\t\\t\\t\\t\\t self.compactDate(self.lastLine))\\n\\t\\treturn s;\",\n \"def format_value(obj, field_name):\\n display_func = getattr(obj, 'get_%s_display' % field_name, None)\\n if display_func:\\n return display_func()\\n value = getattr(obj, field_name)\\n\\n if isinstance(value, models.fields.files.FieldFile):\\n if value:\\n return mark_safe('<a href=\\\"%s\\\">%s</a>' % (\\n value.url,\\n os.path.basename(value.name),\\n ))\\n else:\\n return ''\\n\\n if isinstance(value, models.Model):\\n return format_value_instance(value)\\n\\n if isinstance(value, models.Manager):\\n return mark_safe(', '.join(\\n [format_value_instance(instance) for instance in value.all()]\\n ))\\n if value is None:\\n value = \\\"\\\"\\n return value\",\n \"def generate_link_kml(self, d):\\n return \\\"\\\"\\\"\\\\\\n <NetworkLink>\\n <name>%(image_filename)s</name>\\n <Region>\\n <Lod>\\n <minLodPixels>%(minlodpixels)d</minLodPixels>\\n <maxLodPixels>-1</maxLodPixels>\\n </Lod>\\n <LatLonAltBox>\\n <north>%(north).14f</north>\\n <south>%(south).14f</south>\\n <east>%(east).14f</east>\\n <west>%(west).14f</west>\\n </LatLonAltBox>\\n </Region>\\n <Link>\\n <href>%(link_url)s</href>\\n <viewRefreshMode>onRegion</viewRefreshMode>\\n </Link>\\n </NetworkLink>\\\"\\\"\\\" % d\",\n \"def render(objects,\\n output_encoding,\\n title_force_uppercase,\\n msdos_eol_style,\\n omit_fields_mapping={}):\",\n \"def link(self, obj):\\n return format_html(\\n '<a href=\\\"{url}\\\">{url}</a>',\\n url='https://sms.cam.ac.uk/media/{}'.format(obj.id)\\n )\",\n \"def format(self, obj):\\n return json.dumps(obj, sort_keys=True, indent=4, separators=(',', ': '))\",\n \"def _object2style(self, selector, token):\\r\\n\\r\\n obj = self._object2style_helper(\\\"\\\", token)\\r\\n # insert items in the order they were found in the document\\r\\n minify = True\\r\\n if not minify:\\r\\n arr = [\\\" %s: %s;\\\" % (k, v) for k, v in obj.items()]\\r\\n body = \\\"\\\\n\\\".join(arr)\\r\\n return \\\"%s {\\\\n%s\\\\n}\\\" % (selector, body)\\r\\n else:\\r\\n arr = [\\\"%s:%s\\\" % (k, v) for k, v in obj.items()]\\r\\n body = \\\";\\\".join(arr)\\r\\n return \\\"%s {%s}\\\" % (selector, body)\",\n \"def __repr__(self):\\n format_string = self.__class__.__name__ + '('\\n for t in self.transforms:\\n format_string += f'\\\\n {t}'\\n format_string += '\\\\n)'\\n return format_string\",\n \"def append_links(self, lines, lang):\\n lines.append(\\\"verbatim \\\")\\n lines.append(\\\"section Links\\\")\\n lines.append(\\\"external http://polcasaglia.blogspot.com Blog\\\")\\n lines.append(\\\"external http://www.uisp-fe.it/calcio.php UISP\\\" )\\n lines.append(\\\"verbatim \\\")\\n return lines\",\n \"def reportLink(self, citName, end1, end2):\\n assert citName and end1 and end2\\n osh = ObjectStateHolder(citName)\\n osh.setAttribute(\\\"link_end1\\\", end1)\\n osh.setAttribute(\\\"link_end2\\\", end2)\\n return osh\",\n \"def to_markdown(self):\\n s = \\\"[\\\" + self.label + \\\"]\\\"\\n if self.is_reflink:\\n s += \\\": \\\" + self.url\\n else:\\n s += \\\"(\\\" + self.url + \\\")\\\"\\n return s\",\n \"def __html__(self) -> str:\\n components = [\\n self.attributee_html,\\n f'\\\"{self.linked_title}\\\"',\\n self.date.string if self.date else '',\\n ]\\n return self.components_to_html(components)\",\n \"def makeBackrefLink(self, info, g_links, i):\\n atts, content, infoid, link = '', '', '', ''\\n if 'def' in info:\\n link = info['def']['link']\\n backlink_type = link or g_links\\n i_ = self.encode_high(i)\\n allow_inc = i not in self.syms\\n i_ = int(i_)\\n\\n if backlink_type == \\\"!\\\":\\n return ''\\n elif backlink_type == '^':\\n return \\\"\\\"\\\"<sup><a href=\\\"#noteref%s\\\">%s</a></sup>\\\"\\\"\\\" % (\\n info['refids'][0], i\\n )\\n else:\\n result = []\\n for refid in info['refids']:\\n i_entity = self.decode_high(i_)\\n sup = \\\"\\\"\\\"<sup><a href=\\\"#noteref%s\\\">%s</a></sup>\\\"\\\"\\\" % (\\n refid, i_entity\\n )\\n if allow_inc:\\n i_ += 1\\n result.append(sup)\\n result = ' '.join(result)\\n return result\",\n \"def parseDocObjectsToStrings(records, obj_type):\\n for doc in records:\\n for key, value in doc.items():\\n # all dates should look the same\\n if isinstance(value, datetime.datetime):\\n doc[key] = datetime.datetime.strftime(value,\\n \\\"%Y-%m-%d %H:%M:%S\\\")\\n if key == \\\"_id\\\" or key == \\\"id\\\":\\n doc[\\\"recid\\\"] = str(value)\\n doc[\\\"details\\\"] = \\\"<a href='\\\"+getHREFLink(doc, obj_type)+\\\"'>\\\"\\\\\\n \\\"<div class='icon-container'>\\\"\\\\\\n \\\"<span class='ui-icon ui-icon-document'></span>\\\"\\\\\\n \\\"</div>\\\"\\\\\\n \\\"</a>\\\"\\n elif key == \\\"password_reset\\\":\\n doc['password_reset'] = None\\n elif key == \\\"campaign\\\":\\n camps = []\\n for campdict in value:\\n camps.append(campdict['name'])\\n doc[key] = \\\"|||\\\".join(camps)\\n elif key == \\\"source\\\":\\n srcs = []\\n for srcdict in doc[key]:\\n srcs.append(srcdict['name'])\\n doc[key] = \\\"|||\\\".join(srcs)\\n elif key == \\\"tags\\\":\\n tags = []\\n for tag in doc[key]:\\n tags.append(tag)\\n doc[key] = \\\"|||\\\".join(tags)\\n elif key == \\\"is_active\\\":\\n if value:\\n doc[key] = \\\"True\\\"\\n else:\\n doc[key] = \\\"False\\\"\\n elif key == \\\"tickets\\\":\\n tickets = []\\n for ticketdict in value:\\n tickets.append(ticketdict['ticket_number'])\\n doc[key] = \\\"|||\\\".join(tickets)\\n elif key == \\\"datatype\\\":\\n doc[key] = value.keys()[0]\\n elif key == \\\"to\\\":\\n doc[key] = len(value)\\n elif key == \\\"thumb\\\":\\n doc['url'] = reverse(\\\"crits.screenshots.views.render_screenshot\\\",\\n args=(unicode(doc[\\\"_id\\\"]),))\\n elif key==\\\"results\\\" and obj_type == \\\"AnalysisResult\\\":\\n doc[key] = len(value)\\n elif isinstance(value, list):\\n if value:\\n for item in value:\\n if not isinstance(item, basestring):\\n break\\n else:\\n doc[key] = \\\",\\\".join(value)\\n else:\\n doc[key] = \\\"\\\"\\n doc[key] = html_escape(doc[key])\\n value = doc[key].strip()\\n if isinstance(value, unicode) or isinstance(value, str):\\n val = ' '.join(value.split())\\n val = val.replace('\\\"',\\\"'\\\")\\n doc[key] = val\\n return records\",\n \"def __str__(self):\\n return self.getBooksString() + \\\"\\\\n\\\" + self.getPatronsString()\",\n \"def user2Link(user): \\n # could also look up mail addrs via a table lookup, etc\\n return '<a href=\\\"mailto:%(user)s@somewebsite.com\\\">%(user)s</a>' % {\\\"user\\\": user}\",\n \"def format(self) -> str:\",\n \"def format_item_display(self, obj):\\n return u\\\"%s - %s\\\" % (escape(obj.nombre),obj.rfc)\",\n \"def get_links(self, obj):\\n request = self.context['request']\\n detail_name = '{}-detail'.format(get_model_name(obj.__class__))\\n return {\\n 'self': reverse(detail_name, kwargs={'pk': obj.pk}, request=request),\\n }\",\n \"def xml_add_links(cls, data):\\n xml = \\\"\\\"\\n chunk = '<link rel=\\\"%s\\\" href=\\\"%s\\\" title=\\\"%s\\\" />'\\n links = data.pop(config.LINKS, {})\\n ordered_links = OrderedDict(sorted(links.items()))\\n for rel, link in ordered_links.items():\\n if rel == \\\"related\\\":\\n # add data relation links back for\\n # future processing of hateoas attributes\\n data.update({config.LINKS: {rel: link}})\\n\\n elif isinstance(link, list):\\n xml += \\\"\\\".join(\\n chunk % (rel, escape(d[\\\"href\\\"]), escape(d[\\\"title\\\"]))\\n for d in link\\n )\\n else:\\n xml += \\\"\\\".join(chunk % (rel, escape(link[\\\"href\\\"]), link[\\\"title\\\"]))\\n return xml\",\n \"def make_to_string(front, mid, back, empty_repr):\\n \\\"*** YOUR CODE HERE ***\\\"\\n def printer(lnk):\\n if lnk == Link.empty:\\n return empty_repr\\n else:\\n return front + str(lnk.first) + mid + printer(lnk.rest) + back\\n return printer\",\n \"def custom_links(context, obj):\\n content_type = ContentType.objects.get_for_model(obj)\\n custom_links = CustomLink.objects.filter(content_types=content_type, enabled=True)\\n if not custom_links:\\n return ''\\n\\n # Pass select context data when rendering the CustomLink\\n link_context = {\\n 'object': obj,\\n 'debug': context.get('debug', False), # django.template.context_processors.debug\\n 'request': context['request'], # django.template.context_processors.request\\n 'user': context['user'], # django.contrib.auth.context_processors.auth\\n 'perms': context['perms'], # django.contrib.auth.context_processors.auth\\n }\\n template_code = ''\\n group_names = {}\\n\\n for cl in custom_links:\\n\\n # Organize custom links by group\\n if cl.group_name and cl.group_name in group_names:\\n group_names[cl.group_name].append(cl)\\n elif cl.group_name:\\n group_names[cl.group_name] = [cl]\\n\\n # Add non-grouped links\\n else:\\n try:\\n rendered = cl.render(link_context)\\n if rendered:\\n template_code += LINK_BUTTON.format(\\n rendered['link'], rendered['link_target'], cl.button_class, rendered['text']\\n )\\n except Exception as e:\\n template_code += f'<a class=\\\"btn btn-sm btn-outline-dark\\\" disabled=\\\"disabled\\\" title=\\\"{e}\\\">' \\\\\\n f'<i class=\\\"mdi mdi-alert\\\"></i> {cl.name}</a>\\\\n'\\n\\n # Add grouped links to template\\n for group, links in group_names.items():\\n\\n links_rendered = []\\n\\n for cl in links:\\n try:\\n rendered = cl.render(link_context)\\n if rendered:\\n links_rendered.append(\\n GROUP_LINK.format(rendered['link'], rendered['link_target'], rendered['text'])\\n )\\n except Exception as e:\\n links_rendered.append(\\n f'<li><a class=\\\"dropdown-item\\\" disabled=\\\"disabled\\\" title=\\\"{e}\\\"><span class=\\\"text-muted\\\">'\\n f'<i class=\\\"mdi mdi-alert\\\"></i> {cl.name}</span></a></li>'\\n )\\n\\n if links_rendered:\\n template_code += GROUP_BUTTON.format(\\n links[0].button_class, group, ''.join(links_rendered)\\n )\\n\\n return mark_safe(template_code)\",\n \"def format_url(self, url, text):\\r\\n return u'<a href=\\\"%s\\\">%s</a>' % (escape(url), text)\",\n \"def object_view_with_links(obj, request):\\n _view = _object_view(obj, request)\\n obj_link = obj_ui_link = \\\"\\\"\\n # UI link to the real business object referenced as topic\\n if isinstance(obj, Posting):\\n obj_ui_link = request.link(obj, app=get_root(request).child(\\\"activitystream\\\"))\\n else:\\n try:\\n obj_link = request.link(obj, app=_get_collection_app(request))\\n except morepath.error.LinkError:\\n pass\\n obj_ui_link = get_ui_link(request, obj) or \\\"\\\"\\n _view.update({\\n \\\"object_id\\\": obj_link,\\n \\\"object_ui_link\\\": obj_ui_link})\\n return _view\",\n \"def get_links(self):\\n links = \\\"\\\"\\n if self.title != \\\"\\\":\\n links += html_link_to_tag(\\n plain_to_html(self.title), self.title, self.proc\\n )\\n return links + \\\\\\n html_unordered_list([x.get_links() for x in self.subsections])\",\n \"def link_doc(link_source, link_type, links):\\n ldoc_id = link_doc_id(link_source, link_type, links)\\n curr_time = datetime.datetime.utcnow()\\n ldoc = {\\n '_id': ldoc_id,\\n 'type': 'link',\\n 'time': {'year': curr_time.year,\\n 'month': curr_time.month,\\n 'day': curr_time.day,\\n 'iso': curr_time.isoformat()\\n },\\n 'source': link_source,\\n 'link_type': link_type,\\n 'links': links\\n }\\n return ldoc\",\n \"def format_item(self,obj):\\n return unicode(obj)\",\n \"def get_str(self, obj):\\n if self.pretty:\\n return pprint.pformat(obj)\\n else:\\n return str(obj)\",\n \"def generate_link_attr(d: Dict):\\n d.update({\\\"link\\\": urljoin(\\\"https://vdb-kasf1i23nr1kl2j4.rapid7.com/v1/content/\\\", d.get(\\\"identifier\\\"))})\",\n \"def output(self):\\n entry = []\\n entry.append('''<entry>\\n <title mode=\\\"escaped\\\" type=\\\"text/html\\\">%(title)s</title>\\n <link rel=\\\"alternate\\\" type=\\\"text/html\\\" href=\\\"%(url)s\\\" />\\n <issued>%(issued)s</issued>\\n <modified>%(modified)s</modified>\\n ''' % self.__dict__)\\n \\n if self.feed:\\n entry.append('''<link rel=\\\"service.feed\\\" type=\\\"application/atom+xml\\\" href=\\\"%s\\\" title=\\\"%s\\\" />''' % (self.feed, self.feed_title))\\n if self.comments:\\n entry.append('''<link rel=\\\"comments\\\" type=\\\"application/atom+xml\\\" href=\\\"%s\\\" />''' % self.comments)\\n if self.author:\\n entry.append('''<author>%s</author>''' % self.author.output())\\n for person in self.contributors:\\n entry.append('''<contributor>%s</contributor>''' % person.output())\\n if self.id:\\n entry.append('''<id>%s</id>''' % self.id)\\n if self.created:\\n entry.append('''<created>%s</created>''' % self.created)\\n if self.summary:\\n entry.append('''<summary type=\\\"application/xhtml+xml\\\" xml:base=\\\"%s\\\" xml:space=\\\"preserve\\\">\\n <div xmlns=\\\"http://www.w3.org/1999/xhtml\\\">%s</div></summary>''' % (self.base_url, self.summary))\\n if self.content:\\n #entry.append('''<content type=\\\"application/xhtml+xml\\\" xml:base=\\\"%s\\\" xml:space=\\\"preserve\\\">\\n # <div xmlns=\\\"http://www.w3.org/1999/xhtml\\\">%s</div></content>''' % (self.base_url, self.content))\\n entry.append('''<content type=\\\"text/html\\\" mode=\\\"escaped\\\" xml:base=\\\"%s\\\" xml:space=\\\"preserve\\\">%s</content>''' % (self.base_url, self.content))\\n \\n entry.append('''</entry>''')\\n return '\\\\n'.join(entry)\",\n \"def formatall(obj):\\n result = \\\"\\\"\\n if isinstance(obj, list):\\n# i = 0\\n for obj in obj:\\n #printf(\\\">>> [%d] >>> \\\", i)\\n result += format(obj)\\n result += \\\"\\\\n\\\"\\n# i += 1\\n return result\\n if isinstance(obj, dict):\\n for key, value in obj.items():\\n result += \\\"%-15s : \\\" % key\\n result += format(value)\\n result += \\\"\\\\n\\\"\\n return result\\n return format(obj)\",\n \"def __init__(self, name, attrs={}):\\n URLFormat.__init__(self, name, attrs)\",\n \"def __init__(self, name, attrs={}):\\n URLFormat.__init__(self, name, attrs)\",\n \"def __init__(self, name, attrs={}):\\n URLFormat.__init__(self, name, attrs)\",\n \"def __init__(self, name, attrs={}):\\n URLFormat.__init__(self, name, attrs)\",\n \"def __repr__(self):\\n dbline = ' - {0}'\\n fcline = ' + {0}'\\n output = ['{0} ({1})'.format(self.name, self.url)]\\n output.append('-' * len(output[0]))\\n output.append(' {0}'.format(self.mxd))\\n for db in self._dbnames:\\n output.append(dbline.format(db))\\n for fc in sorted(self._datastructure[db]):\\n output.append(fcline.format(fc))\\n output.append('')\\n output.append('')\\n return '\\\\n'.join(output)\",\n \"def __repr__(self):\\n return pprint.saferepr(self.redirects)\",\n \"def make_links(traceback):\\r\\n\\r\\n lwords = traceback.split('\\\"')\\r\\n\\r\\n # Making the short circuit compatible with <= python2.4\\r\\n result = (len(lwords) != 0) and lwords[0] or ''\\r\\n\\r\\n i = 1\\r\\n\\r\\n while i < len(lwords):\\r\\n link = make_link(lwords[i])\\r\\n\\r\\n if link == '':\\r\\n result += '\\\"' + lwords[i]\\r\\n else:\\r\\n result += link\\r\\n\\r\\n if i + 1 < len(lwords):\\r\\n result += lwords[i + 1]\\r\\n i = i + 1\\r\\n\\r\\n i = i + 1\\r\\n\\r\\n return result\",\n \"def prettyformat(self):\\n \\n import re\\n\\n html = self.get_htmlsrc()\\n if type(html) == type([]):\\n html = html[0]\\n if type(html) != type(\\\"\\\"):\\n try:\\n html = str(html)\\n except:\\n html = html.__str__()\\n \\n tmp = BeautifulSoup(html)\\n base = self.target_baseurl()\\n# aitems = tmp.findAll(\\\"a\\\",href=re.compile(\\\"^\\\\/\\\"))\\n aitems = tmp.findAll(\\\"a\\\",href=re.compile(\\\"^[^hH]\\\"))\\n for i in aitems:\\n u = i['href']\\n if u[0] != '/':\\n i['href'] = base + '/' + u\\n else: \\n i['href'] = base + u\\n# imgitems = tmp.findAll(\\\"img\\\",src=re.compile(\\\"^\\\\/\\\"))\\n imgitems = tmp.findAll(\\\"img\\\",src=re.compile(\\\"^[^hH]\\\"))\\n for j in imgitems:\\n v = j['src']\\n if v[0] != '/':\\n j['src'] = base + '/' + v\\n else: \\n j['src'] = base + v\\n return tmp\",\n \"def __str__(self):\\n if self.external_form:\\n return self.external_form\\n if self.url:\\n return self.format('url')\\n if self.uuid:\\n return self.format('uuid')\\n return self.format('path')\",\n \"def format_link(attrs: Dict[tuple, str], new: bool = False):\\n try:\\n p = urlparse(attrs[(None, 'href')])\\n except KeyError:\\n # no href, probably an anchor\\n return attrs\\n\\n if not any([p.scheme, p.netloc, p.path]) and p.fragment:\\n # the link isn't going anywhere, probably a fragment link\\n return attrs\\n\\n c = urlparse(settings.SITE_URL)\\n if p.netloc != c.netloc:\\n # link is external - secure and mark\\n attrs[(None, 'target')] = '_blank'\\n attrs[(None, 'class')] = attrs.get((None, 'class'), '') + ' external'\\n attrs[(None, 'rel')] = 'nofollow noopener noreferrer'\\n\\n return attrs\",\n \"def getExpandedLinks():\",\n \"def link_the_references(obj, path):\\n if not obj:\\n log.bug(\\\"obj non è un parametro valido: %s\\\" % obj)\\n return\\n\\n if not path:\\n log.bug(\\\"path non è un parametro valido: %s\\\" % path)\\n return\\n\\n # -------------------------------------------------------------------------\\n\\n for attr_name, attr_value in obj.__dict__.iteritems():\\n if attr_name[0] == \\\"_\\\" or attr_name in obj.VOLATILES:\\n continue\\n\\n # Cerca eventuali riferimenti da collegare alle istanze nei dati che\\n # si rifanno a delle classi con altri attributi (che quindi hanno un\\n # modulo da dove reperirle)\\n if attr_name in obj.SCHEMA and obj.SCHEMA[attr_name][0]:\\n if isinstance(attr_value, list):\\n for i, sub_value in enumerate(attr_value):\\n sub_path = \\\"%s.%s[%s]\\\" % (path, attr_name, i)\\n link_the_references(sub_value, sub_path)\\n elif isinstance(attr_value, dict):\\n for key, sub_value in attr_value.iteritems():\\n sub_path = \\\"%s.%s[%s]\\\" % (path, attr_name, repr(key))\\n link_the_references(sub_value, sub_path)\\n elif attr_value:\\n link_the_references(attr_value, \\\"%s.%s\\\" % (path, attr_name))\\n\\n # Se la variabile si trova nel dizionario REFERENCES della classe\\n # allora probabilmente è un dato precedentemente acquisito come\\n # stringa ma che deve essere convertito al riferimento di dato\\n elif attr_name in obj.REFERENCES or attr_name in obj.WEAKREFS:\\n # La variabile di riferimento può benissimo essere None, già di\\n # default è così, significa che non ha trovato nessuna etichetta\\n # relativa nel file del dato, questo è normale per etichette\\n # facoltative\\n if attr_value is None:\\n continue\\n\\n # Se la variabile si trova nel dizionario WEAKREFS della classe\\n # si comporta come una variabile relativa alle REFERENCES\\n # tuttavia se questa viene rimossa dal gioco il riferimento\\n # debole va a mancare automaticamente\\n if attr_name in obj.WEAKREFS:\\n table_names = obj.WEAKREFS[attr_name]\\n else:\\n # Le tabelle per la ricerca del riferimento possono essere più\\n # d'una, ognuna delle quali però deve possere delle chiavi\\n # differenti tra loro (come per esempio il database dei mob\\n # e quello degli oggetti)\\n table_names = obj.REFERENCES[attr_name]\\n\\n # Se var è una stringa allora cerca il riferimento tra le tabelle\\n if isinstance(attr_value, basestring):\\n var = _search_the_reference(attr_name, attr_value, table_names, path)\\n if var and attr_name in obj.WEAKREFS:\\n setattr(obj, attr_name, weakref.ref(var or None))\\n else:\\n setattr(obj, attr_name, var or None)\\n # Se var è una lista allora deve trovare tutti i riferimenti di\\n # ogni elemento che sono identificati da un codice-stringa\\n elif type(attr_value) == list:\\n new_list = []\\n for v in attr_value:\\n value = _search_the_reference(attr_name, v, table_names, path)\\n if value:\\n if attr_name in obj.WEAKREFS:\\n new_list.append(weakref.ref(value))\\n else:\\n new_list.append(value)\\n setattr(obj, attr_name, new_list)\\n elif type(attr_value) == dict:\\n # (TD)\\n raise NotImplementedError\",\n \"def print_link(link):\\n print('<' + helper(link).rstrip() + '>')\",\n \"def _inline(line):\\n if len(line) == 0:\\n return ''\\n\\n # Regexp of protocols supported in hyperlinks (should be protocols that\\n # we can expect web browsers to support)\\n protocols = \\\"https?|ftp|sftp|file|afs|nfs\\\"\\n\\n\\n # Prepare usual links: prefix every \\\"www.\\\" with \\\"http://\\\"\\n # unless there is a // before\\n line = re.sub('(^|\\\\s|[^\\\\/])(www\\\\.)', '\\\\\\\\1http://\\\\\\\\2', line, re.I);\\n\\n # replace the @ sign with an HTML entity, if it is used within\\n # an url (e.g. for pointers to mailing lists). This way, the\\n # @ sign doesn't get mangled in the e-mail markup code\\n # below. See bug #2689 on http://gna.org/ for reference.\\n line = re.sub(\\\"([a-z]+://[^<>[:space:]]+)@\\\", \\\"\\\\\\\\1@\\\", line, re.I)\\n\\n # Prepare the markup for normal links, e.g. http://test.org, by\\n # surrounding them with braces []\\n # (& = begin of html entities, it means a end of string unless\\n # it is & which itself is the entity for &)\\n line = re.sub('(^|\\\\s|[^\\\\[])((' + protocols + '):\\\\/\\\\/(&|[^\\\\s&]+[a-z0-9\\\\/^])+)',\\n '\\\\\\\\1[\\\\\\\\2]', line, re.I)\\n\\n # do a markup for mail links, e.g. info@support.org\\n # (do not use utils_emails, this does extensive database\\n # search on the string\\n # and replace addresses in several fashion. Here we just want to make\\n # a link). Make sure that 'cvs -d:pserver:anonymous@cvs.sv.gnu.org:/...'\\n # is NOT replaced.\\n line = re.sub(\\\"(^|\\\\s)([a-z0-9_+-.]+@([a-z0-9_+-]+\\\\.)+[a-z]+)(\\\\s|$)\\\",\\n '\\\\\\\\1' + '<a href=\\\"mailto:\\\\\\\\2\\\">\\\\\\\\2</a>' + '\\\\\\\\4', line, re.I)\\n\\n # Links between items\\n # FIXME: it should be i18n, but in a clever way, meaning that everytime\\n # a form is submitted with such string, the string get converted in\\n # english so we always get the links found without having a regexp\\n # including every possible language.\\n # Trackers URLs disabled until trackers are actually implemented :)\\n #trackers = {\\n # \\\"bugs?\\\" : \\\"bugs/?\\\",\\n # \\\"support|sr\\\" : \\\"support/?\\\",\\n # \\\"tasks?\\\" : \\\"task/?\\\",\\n # \\\"patch\\\" : \\\"patch/?\\\",\\n # # In this case, we make the link pointing to support, it wont matter,\\n # # the download page is in every tracker and does not check if the tracker\\n # # is actually used\\n # \\\"files?\\\" : \\\"support/download.php?file_id=\\\",\\n # }\\n #for regexp,link in trackers:\\n # # Allows only two white space between the string and the numeric id\\n # # to avoid having too time consuming regexp. People just have to pay\\n # # attention.\\n # line = re.sub(\\\"(^|\\\\s|\\\\W)($regexp)\\\\s{0,2}#([0-9]+)\\\",\\n # '\\\\1<em><a href=\\\"' + 'sys_home'\\n # + link + '\\\\\\\\3\\\">\\\\\\\\2 #\\\\\\\\3</a></em>',\\n # line, re.I)\\n\\n # add an internal link for comments\\n line = re.sub('(comments?)\\\\s{0,2}#([0-9]+)',\\n '<em><a href=\\\"#comment\\\\\\\\2\\\">\\\\\\\\1 #\\\\\\\\2</a></em>',\\n line, re.I)\\n\\n # Add support for named hyperlinks, e.g.\\n # [http://savane-forge.org/ Text] -> <a href=\\\"http://savane-forge.org/\\\">Text</a>\\n line = re.sub(\\n # find the opening brace '['\\n '\\\\['\\n # followed by the protocol, either http:// or https://\\n + '((' + protocols + '):\\\\/\\\\/'\\n # match any character except whitespace or the closing\\n # brace ']' for the actual link\\n + '[^\\\\s\\\\]]+)'\\n # followed by at least one whitespace\\n + '\\\\s+'\\n # followed by any character (non-greedy) and the\\n # next closing brace ']'\\n + '(.+?)\\\\]',\\n '<a href=\\\"\\\\\\\\1\\\">\\\\\\\\3</a>', line)\\n\\n # Add support for unnamed hyperlinks, e.g.\\n # [http://savane-forge.org/] -> <a href=\\\"http://savane-forge.org/\\\">http://savane-forge.org/</a> \\n line = re.sub(\\n # find the opening brace '['\\n '\\\\['\\n # followed by the protocol, either http:// or https://\\n # (FIXME: which protocol does it makes sense to support, which one\\n # should we ignore?)\\n + '((' + protocols + '):\\\\/\\\\/'\\n # match any character except whitespace (non-greedy) for\\n # the actual link, followed by the closing brace ']'\\n + '[^\\\\s]+?)\\\\]',\\n '<a href=\\\"\\\\\\\\1\\\">\\\\\\\\1</a>', line)\\n\\n # *word* -> <strong>word</strong>\\n line = re.sub(\\n # find an asterisk\\n '\\\\*'\\n # then one character (except a space or asterisk)\\n + '([^* ]'\\n # then (optionally) any character except asterisk\\n + '[^*]*?)'\\n # then an asterisk\\n + '\\\\*',\\n '<strong>\\\\\\\\1</strong>', line)\\n\\n # _word_ -> <em>word</em>\\n line = re.sub(\\n # allow for the pattern to start at the beginning of a line.\\n # if it doesn't start there, the character before the slash\\n # must be either whitespace or the closing brace '>', to\\n # allow for nested html tags (e.g. <p>_markup_</p>).\\n # Additionally, the opening brace may appear.\\n # See bug #10571 on http://gna.org/ for reference.\\n '(^|\\\\s+|>|\\\\()'\\n # match the underscore\\n + '_'\\n # match any character (non-greedy)\\n + '(.+?)'\\n # match the ending underscore and either end of line or\\n # a non-word character\\n + '_(\\\\W|$)',\\n '\\\\\\\\1<em>\\\\\\\\2</em>\\\\\\\\3',\\n line)\\n\\n return line\",\n \"def __str__(self) -> str:\\n outstr = self.access\\n if self.demux is not None:\\n outstr += \\\"/\\\" + self.demux\\n outstr += \\\"://\\\" + self.url\\n if self.title is not None or \\\\\\n self.chapter is not None or \\\\\\n self.endtitle is not None or \\\\\\n self.endchapter is not None:\\n outstr += '#'\\n if self.title is not None:\\n outstr += self.title\\n if self.chapter is not None:\\n outstr += \\\":\\\" + self.chapter\\n if self.endtitle is not None or \\\\\\n self.endchapter is not None:\\n outstr += '-'\\n if self.endtitle is not None:\\n outstr += self.endtitle\\n if self.endchapter is not None:\\n outstr += ':' + self.endchapter\\n if self.options is not None:\\n for option in self.options.items():\\n outstr += ' :' + option\\n return outstr\",\n \"def antweb_links(request, format='csv'):\\n\\n\\n\\ttaxonomy = []\\n\\tif request.GET.get('taxon_code'):\\n\\t\\ttaxonomy = Taxonomy.objects.raw(\\\"\\\"\\\"\\n\\t\\tSELECT taxon_code, subfamily_name, genus_name, species_name\\n\\t\\tFROM map_taxonomy_list\\n\\t\\tWHERE taxon_code = %s\\n\\t\\t\\\"\\\"\\\", [request.GET.get('taxon_code')])\\n\\t\\t\\n\\t\\t# serialize to JSON\\n\\t\\tjson_objects = [{'key': t.taxon_code, 'speciesName': t.species_name, 'genusName': t.genus_name, 'subfamilyName': t.subfamily_name} for t in taxonomy]\\n\\t\\t\\n\\t\\treturn JSONResponse({'taxonomy': json_objects})\\n\\t\\t\\n\\telif request.GET.get('genus_name'):\\n\\t\\ttaxonomy = Taxonomy.objects.raw(\\\"\\\"\\\"\\n\\t\\tSELECT genus_name, subfamily_name,taxon_code\\n\\t\\tFROM map_taxonomy_list\\n\\t\\tWHERE genus_name = %s\\n\\t\\tGROUP BY genus_name, subfamily_name,taxon_code\\n\\t\\t\\\"\\\"\\\", [request.GET.get('genus_name')])\\n\\t\\t\\n\\t\\t# serialize to JSON\\n\\t\\tjson_objects = [{'key': t.genus_name, 'subfamilyName': t.subfamily_name} for t in taxonomy]\\n\\t\\t\\n\\t\\treturn JSONResponse({'taxonomy': json_objects})\\n\\t\\n\\telse:\\n\\t\\treturn JSONResponse({'taxonomy': []})\",\n \"def format_link(self, link):\\n new_link = \\\"/\\\".join(link.split(\\\"/\\\")[0:3])\\n return \\\"http://www.imdb.com\\\" + new_link\",\n \"def __str__ (self) :\\n\\t\\ttext_rule = \\\"\\\"\\n\\t\\t\\n\\t\\tfor key, rules in self.production_rules.items() :\\n\\t\\t\\ttext_rule += \\\"\\\\nRULE \\\" + key + \\\" = [\\\\n\\\\t\\\"\\n\\t\\t\\trule_in_a_line = []\\n\\t\\t\\tfor rule in rules :\\n\\t\\t\\t\\t#rule_in_a_line.append(\\\" + \\\".join([r.val+\\\"(\\\"+r.type+\\\")\\\" for r in rule]))\\n\\t\\t\\t\\trule_in_a_line.append(\\\" + \\\".join([r.__str__() for r in rule]))\\n\\t\\t\\ttext_rule += \\\"\\\\n\\\\t\\\".join(rule_in_a_line) + \\\"\\\\n]\\\"\\n\\t\\ttext_rule += \\\"\\\\n\\\\n\\\"\\n\\t\\t\\n\\t\\ttext_rule += \\\"LABELS = \\\" + json.dumps (self.labels, indent=2) + '\\\\n\\\\n'\\n\\n\\t\\ttext_rule += \\\"STRUCT = [\\\\n{}\\\\n]\\\\n\\\\n\\\".format(\\n\\t\\t\\t\\\"\\\".join([\\n\\t\\t\\t\\t\\\"\\\\t{} : {{\\\\n\\\\t\\\\t{}\\\\n\\\\t}}\\\\n\\\".format (\\n\\t\\t\\t\\t\\tkey, \\\", \\\\n\\\\t\\\\t\\\".join(val)\\n\\t\\t\\t\\t) for key, val in self.keeper.items()\\n\\t\\t\\t])\\n\\t\\t)\\n\\t\\ttext_rule += \\\"STRNODE = [\\\\n{}\\\\n]\\\\n\\\\n\\\".format(\\n\\t\\t\\t\\\"\\\".join(self.strnodes)\\n\\t\\t)\\n\\t\\tfor regex, label in self.tokens :\\n\\t\\t\\ttext_rule += \\\"TOKEN \\\" + label + \\\" = regex('\\\" + regex + \\\"')\\\\n\\\"\\n\\n\\t\\treturn text_rule\",\n \"def __repr__(self):\\n args = []\\n if self.name != \\\"alpha\\\":\\n args.append(repr(self.name))\\n if self.propertiesstr:\\n args.append(repr(self.propertiesstr))\\n elif self.propertiesstr:\\n args.append(\\\"attr=%r\\\" % self.propertiesstr)\\n return \\\"%s(%s)\\\" % (type(self).__name__, \\\", \\\".join(args))\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.784745","0.6504912","0.64552146","0.6426217","0.62232155","0.6217698","0.60861593","0.60861593","0.60610193","0.60496616","0.5940354","0.59321237","0.5914688","0.58717525","0.5870953","0.5845969","0.5824419","0.58027077","0.57641745","0.57560444","0.57327914","0.5715841","0.5698075","0.5693841","0.5693164","0.5693031","0.56775624","0.5668995","0.5656696","0.5642389","0.56277734","0.56265193","0.56124365","0.5593817","0.55695003","0.5533753","0.55312","0.5523837","0.55153847","0.5514151","0.5511813","0.5500131","0.5493986","0.549361","0.5491652","0.54671484","0.545604","0.54496294","0.5447277","0.54109913","0.5408396","0.5405952","0.5401387","0.53867877","0.5381744","0.5377864","0.5376137","0.5372304","0.53598523","0.5345939","0.53452367","0.5344011","0.5325346","0.53231794","0.5319263","0.5313906","0.5297503","0.5290494","0.5289116","0.5278131","0.5275255","0.5267903","0.5262328","0.52602017","0.52481854","0.5234007","0.5231144","0.52290934","0.52284575","0.52253824","0.5223548","0.52196616","0.52196616","0.52196616","0.52196616","0.5208965","0.520751","0.5204973","0.5202219","0.5195024","0.51940584","0.5193685","0.51848644","0.51815224","0.5181074","0.5177807","0.5171653","0.51646614","0.51598763","0.5157449"],"string":"[\n \"0.784745\",\n \"0.6504912\",\n \"0.64552146\",\n \"0.6426217\",\n \"0.62232155\",\n \"0.6217698\",\n \"0.60861593\",\n \"0.60861593\",\n \"0.60610193\",\n \"0.60496616\",\n \"0.5940354\",\n \"0.59321237\",\n \"0.5914688\",\n \"0.58717525\",\n \"0.5870953\",\n \"0.5845969\",\n \"0.5824419\",\n \"0.58027077\",\n \"0.57641745\",\n \"0.57560444\",\n \"0.57327914\",\n \"0.5715841\",\n \"0.5698075\",\n \"0.5693841\",\n \"0.5693164\",\n \"0.5693031\",\n \"0.56775624\",\n \"0.5668995\",\n \"0.5656696\",\n \"0.5642389\",\n \"0.56277734\",\n \"0.56265193\",\n \"0.56124365\",\n \"0.5593817\",\n \"0.55695003\",\n \"0.5533753\",\n \"0.55312\",\n \"0.5523837\",\n \"0.55153847\",\n \"0.5514151\",\n \"0.5511813\",\n \"0.5500131\",\n \"0.5493986\",\n \"0.549361\",\n \"0.5491652\",\n \"0.54671484\",\n \"0.545604\",\n \"0.54496294\",\n \"0.5447277\",\n \"0.54109913\",\n \"0.5408396\",\n \"0.5405952\",\n \"0.5401387\",\n \"0.53867877\",\n \"0.5381744\",\n \"0.5377864\",\n \"0.5376137\",\n \"0.5372304\",\n \"0.53598523\",\n \"0.5345939\",\n \"0.53452367\",\n \"0.5344011\",\n \"0.5325346\",\n \"0.53231794\",\n \"0.5319263\",\n \"0.5313906\",\n \"0.5297503\",\n \"0.5290494\",\n \"0.5289116\",\n \"0.5278131\",\n \"0.5275255\",\n \"0.5267903\",\n \"0.5262328\",\n \"0.52602017\",\n \"0.52481854\",\n \"0.5234007\",\n \"0.5231144\",\n \"0.52290934\",\n \"0.52284575\",\n \"0.52253824\",\n \"0.5223548\",\n \"0.52196616\",\n \"0.52196616\",\n \"0.52196616\",\n \"0.52196616\",\n \"0.5208965\",\n \"0.520751\",\n \"0.5204973\",\n \"0.5202219\",\n \"0.5195024\",\n \"0.51940584\",\n \"0.5193685\",\n \"0.51848644\",\n \"0.51815224\",\n \"0.5181074\",\n \"0.5177807\",\n \"0.5171653\",\n \"0.51646614\",\n \"0.51598763\",\n \"0.5157449\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.72780514"},"document_rank":{"kind":"string","value":"1"}}},{"rowIdx":4799,"cells":{"query":{"kind":"string","value":"Format object view link."},"document":{"kind":"string","value":"def object_formatter(v, c, m, p):\n return Markup('<a href=\"{0}\">{1}</a>'.format(\n link_func(m), text))"},"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 link(text, link_func):\n def object_formatter(v, c, m, p):\n \"\"\"Format object view link.\"\"\"\n return Markup('<a href=\"{0}\">{1}</a>'.format(\n link_func(m), text))\n return object_formatter","def link(self, obj):\n return format_html(\n '<a href=\"{url}\">{url}</a>',\n url='https://sms.cam.ac.uk/collection/{}'.format(obj.id)\n )","def object_view_with_links(obj, request):\n _view = _object_view(obj, request)\n obj_link = obj_ui_link = \"\"\n # UI link to the real business object referenced as topic\n if isinstance(obj, Posting):\n obj_ui_link = request.link(obj, app=get_root(request).child(\"activitystream\"))\n else:\n try:\n obj_link = request.link(obj, app=_get_collection_app(request))\n except morepath.error.LinkError:\n pass\n obj_ui_link = get_ui_link(request, obj) or \"\"\n _view.update({\n \"object_id\": obj_link,\n \"object_ui_link\": obj_ui_link})\n return _view","def link(self, obj):\n return format_html(\n '<a href=\"{url}\">{url}</a>',\n url='https://sms.cam.ac.uk/media/{}'.format(obj.id)\n )","def _change_link(self, obj, display_text=None):\n if not obj:\n return '?'\n fragments = [obj._meta.app_label, obj._meta.model_name, 'change']\n change_url = reverse(\"admin:{}\".format('_'.join(fragments)),\n args=(obj.id,))\n display_text = display_text or unicode(obj)\n return format_html(\"<a href={}>{}</a>\", change_url, display_text)","def href(obj):\n if isinstance(obj, Filing):\n return reverse('filing', args=(obj.region, obj.name, obj.period_name))\n else:\n raise ValueError('cannot build a URL for {}.{} objects'.format(\n type(obj).__module__, type(obj).__name__))","def view_link(self, obj):\n if obj.cwr:\n url = reverse(\n 'admin:music_publisher_ackimport_change', args=(obj.id,))\n url += '?preview=true'\n return mark_safe(\n '<a href=\"{}\" target=\"_blank\">View CWR</a>'.format(url))","def pybb_link(object, anchor=''):\n\n url = hasattr(object, 'get_absolute_url') and object.get_absolute_url() or None\n #noinspection PyRedeclaration\n anchor = anchor or smart_text(object)\n return mark_safe('<a href=\"%s\">%s</a>' % (url, escape(anchor)))","def viewurilink(uri) :\n\tname = schema.uri_to_name(uri)\n\tif name :\n\t\turl = '/view/name/' + quote(name)\n\telif uri[:7] == \"http://\" :\n\t\turl = '/view/uri/' + uri[7:]\n\telse :\n\t\turl = '/view/uri?id=' + uri\n\t\n\treturn '<a href=\"%s\">%s</a>' % (url, name or n.shorten(uri))","def detail_link(db_obj, text=None):\n\n def build_link(obj):\n name = str(obj) if text is None else text\n return _make_link(obj.detail_url(), name)\n\n return mark_safe(', '.join(map(build_link, as_list(db_obj))))","def view_bed_link(unused1, unused2, model, unused3):\n del unused1, unused2, unused3\n return (\n Markup(\n u\"<a href='%s'>%s</a>\"\n % (url_for(\"bed.index_view\", search=model.bed.name), model.bed.name)\n )\n if model.bed\n else u\"\"\n )","def linkify(field_name):\n def _linkify(obj):\n linked_obj = getattr(obj, field_name)\n if linked_obj is None:\n return '-'\n app_label = linked_obj._meta.app_label\n model_name = linked_obj._meta.model_name\n view_name = f'admin:{app_label}_{model_name}_change'\n link_url = reverse(view_name, args=[linked_obj.pk])\n return format_html('<a href=\"{}\">{}</a>', link_url, linked_obj)\n\n _linkify.short_description = field_name # Sets column name\n return _linkify","def view_link(self, obj):\n if obj.cwr:\n url = reverse(\n 'admin:music_publisher_cwrexport_change', args=(obj.id,))\n url += '?preview=true'\n return mark_safe(\n '<a href=\"{}\" target=\"_blank\">View CWR</a>'.format(url))","def linkify(field_name):\n\n def _linkify(obj):\n linked_obj = getattr(obj, field_name)\n if linked_obj is None:\n return '-'\n app_label = linked_obj._meta.app_label\n model_name = linked_obj._meta.model_name\n view_name = f'admin:{app_label}_{model_name}_change'\n link_url = reverse(view_name, args=[linked_obj.pk])\n return format_html('<a href=\"{}\">{}</a>', link_url, linked_obj)\n\n _linkify.short_description = field_name # Sets column name\n return _linkify","def item_link(self, obj):\n if obj.item is None:\n return '\\N{EM DASH}'\n\n return format_html(\n '<a href=\"{}\">{}</a>',\n reverse('admin:mediaplatform_mediaitem_change', args=(obj.item.pk,)),\n obj.item.title if obj.item.title != '' else '[Untitled]'\n )","def __str__(self):\n\t\treturn '{0} ({1})'.format (self.name, self.link)","def format(self, obj):\n pass","def format(self, obj):\n pass","def fmt(e):\n name = str(e.label.first() if hasattr(e, 'label') and e.label else e)\n if re.match(r'^[a-z]+://', name):\n return link.format(name=name, url=name)\n if hasattr(e, 'label') and e.label:\n name = e.label.first()\n url = name if re.match(r'^[a-z]+://', name) else '#' + name\n return link.format(name=name, url=url)\n elif re.match(r'^[a-z]+://', str(e)):\n return link.format(name=e, url=e)\n else:\n return str(e).replace('owl.', 'owl:')","def get_object_view_url(self, nuxeo_id):\n parts = urlparse.urlsplit(self.nx.conf[\"api\"])\n url = \"{}://{}/Nuxeo/nxdoc/default/{}/view_documents\".format(parts.scheme, parts.netloc, nuxeo_id) \n return url","def getLink(self):","def cook(self, obj, request, field_name):\n view_url = ''\n edit_url = ''\n \n if hasattr(obj, 'get_absolute_url'):\n view_url = obj.get_absolute_url();\n if request.user.has_perm('%s.change_%s' %(obj._meta.app_label, obj._meta.model_name)):\n\t\t\tedit_url = reverse('admin:%s_%s_change' %(obj._meta.app_label, obj._meta.model_name), args=[obj.id])\n\t\t\n result = {'text': unicode(obj),\n 'view_url': view_url,\n 'edit_url': edit_url\n }\n return result","def deriveLinkfromObject(obj, scale=1, parent_link=True, parent_objects=True,\n reparent_children=True, nameformat='', scaleByBoundingBox=False):\n log('Deriving link from ' + nUtils.getObjectName(obj), level=\"INFO\")\n # create armature/bone\n bUtils.toggleLayer('link', True)\n bpy.ops.object.select_all(action='DESELECT')\n bpy.ops.object.armature_add()\n newlink = bpy.context.active_object\n newlink.name = obj.name + \"_link\"\n newlink.matrix_world = obj.matrix_world\n newlink.phobostype = 'link'\n if scaleByBoundingBox:\n bound_box = (\n max([c[0] for c in obj.bound_box]),\n max([c[1] for c in obj.bound_box]),\n max([c[2] for c in obj.bound_box]),\n )\n newlink.scale = [max(bound_box)*scale] * 3\n else:\n newlink.scale = [scale] * 3\n if obj.parent is not None and parent_link:\n eUtils.parentObjectsTo(newlink, obj.parent)\n if parent_objects:\n eUtils.parentObjectsTo(obj, newlink)\n if reparent_children:\n eUtils.parentObjectsTo(list(obj.children), newlink)\n if bpy.context.scene.phoboswireframesettings.links:\n newlink.display_type = \"WIRE\"\n return newlink","def view_family_link(unused1, unused2, model, unused3):\n del unused1, unused2, unused3\n return (\n Markup(\n u\"<a href='%s'>%s</a>\"\n % (url_for(\"family.index_view\", search=model.family.internal_id), model.family,)\n )\n if model.family\n else u\"\"\n )","def render_url(self, object_id):\r\n return reverse(\"%s:insert_%s_%s_render\" % (\r\n self.admin_site.name,\r\n self.model._meta.app_label,\r\n self.model._meta.module_name\r\n ), args=(object_id,))","def build_url_long(self, obj):\n if obj.slug:\n url = self.request.build_absolute_uri(reverse('build_repo', args=(obj.slug,)))\n return '<a href=\"%s\" target=\"_blank\">%s<a>' % (url, url)\n else:\n return ''","def view_invoice_link(unused1, unused2, model, unused3):\n del unused1, unused2, unused3\n return (\n Markup(\n u\"<a href='%s'>%s</a>\"\n % (\n url_for(\"invoice.index_view\", search=model.invoice.id),\n model.invoice.invoiced_at.date()\n if model.invoice.invoiced_at\n else \"In progress\",\n )\n )\n if model.invoice\n else u\"\"\n )","def command_view(arguments):\n global current_mode, current_name\n current_mode = Mode.links\n current_name = arguments[0]\n return 'Now viewing entity \"' + current_name + '\"'","def linkify(obj, link_text=''):\n try:\n lst = []\n # if obj is not a list, convert it into a list\n if not getattr(obj, '__iter__', False):\n obj = [obj]\n for item in obj:\n if hasattr(item, 'child'):\n item = item.child\n if link_text == '':\n l_text = unicode(item)\n else:\n try:\n link_text = link_text.encode('ascii')\n l_text = getattr(item, link_text, link_text)\n except UnicodeEncodeError:\n l_text = link_text\n if not (isinstance(item, Content) and\n isinstance(l_text, SafeText)):\n l_text = filter.force_escape(l_text)\n format_args = (item.get_absolute_url(), l_text)\n lst.append(mark_safe('<a href=\\'%s\\'>%s</a>' % format_args))\n\n # nonlists obj's should be returned as nonlists\n return lst[0] if len(lst) == 1 else lst\n except:\n return ''","def renderView(self):\n html = \"\"\n if self.lms.lms == \"other\":\n html += \"_______________________________<br/>\"\n url = \"http://%s\" % self.lms.otherUrl\n html += \"<br/><b>%s </b>\" % self.lms.otherLabel\n html += '<a href=\"%s\">%s</a>' % (url, url) \n return html","def work_link(self, obj):\n url = reverse('admin:music_publisher_work_change', args=[obj.work.id])\n link = '<a href=\"{}\">{}</a>'.format(url, obj.work)\n return mark_safe(link)","def __str__(self):\n return '<a href=\"%s\" class=\"%s\" %s>%s</a>' % (self.url, self.cssclass, self.options, self.text)","def urlLink(self, text=None, url=None, attrs={}):\n if not text:\n text = self.titleOrId()\n text = escape(text)\n if not self.checkRemotePerm(\"View\", self):\n return text\n if not url:\n url = self.getPrimaryUrlPath()\n if len(attrs):\n return '<a href=\"%s\" %s>%s</a>' % (url,\n ' '.join('%s=\"%s\"' % (x,y) for x,y in attrs.items()),\n text)\n else:\n return '<a href=\"%s\">%s</a>' % (url, text)","def show_orion_url(self, obj):\n return obj.orion_url","def link(self):\n return f\"[{self.numbered_title}]({self.html_url})\"","def get_link(self, path, method, view):\n description = self.get_description(path, method, view)\n\n fields = []\n if '---' not in description:\n fields += self.get_path_fields(path, method, view)\n fields += self.get_serializer_fields(path, method, view)\n fields += self.get_pagination_fields(path, method, view)\n fields += self.get_filter_fields(path, method, view)\n\n if description:\n vals = list(yaml.load_all(description))\n description, para_lst = vals[0], vals[1]\n if para_lst and para_lst.get('parameters'):\n for para in para_lst['parameters']:\n fields.append(coreapi.Field(\n name=para['name'],\n required=para['required'],\n location=para.get('paramType', 'query'),\n description=para['description'],\n type=para.get('type', 'string')\n ))\n\n if fields and any([field.location in ('form', 'body') for field in fields]):\n # encoding = self.get_encoding(path, method, view)\n encoding = 'multipart/form-data'\n else:\n encoding = None\n\n\n if self.url and path.startswith('/'):\n path = path[1:]\n\n return coreapi.Link(\n url=urlparse.urljoin(self.url, path),\n action=method.lower(),\n encoding=encoding,\n fields=fields,\n description=description\n )","def _generate_context_link(\n context: mlrun.MLClientCtx, link_text: str = \"view in MLRun\"\n ) -> str:\n return (\n '<a href=\"{}/{}/{}/jobs/monitor/{}/overview\" target=\"_blank\">{}</a>'.format(\n config.resolve_ui_url(),\n config.ui.projects_prefix,\n context.project,\n context.uid,\n link_text,\n )\n )","def _format_to_link(self, commit):\n return os.path.join(self.mount, \"commits-by-hash\", self._hash_updir(commit), commit) + \"/\"","def edit_link(db_object, text=None):\n if text is None:\n text = 'edit'\n return _make_link(db_object.update_url(), text)","def object_view(request, simulation, object_name):\n owner = can_edit(request.user, simulation)\n query = get_query(object_name, simulation)\n large_count = query.count() > OBJECT_THRESHOLD\n network_empty = False\n if object_name == 'link':\n # Allow the user to edit links only if there are at least two centroids,\n # one crossing and one congestion function.\n nb_centroids = get_query('centroid', simulation).count()\n nb_crossings = get_query('crossing', simulation).count()\n nb_functions = get_query('function', simulation).count()\n network_empty = not (nb_centroids >= 2 and nb_crossings >= 1\n and nb_functions >= 1)\n import_form = ImportForm()\n context = {\n 'simulation': simulation,\n 'owner': owner,\n 'count': query.count(),\n 'object': object_name,\n 'large_count': large_count,\n 'network_empty': network_empty,\n 'import_form': import_form,\n }\n return render(request, 'metro_app/object_view.html', context)","def make_link_to(self, index, caption):\n \n # index is an int\n return '<a href=\"/log/'+str(index)+'\"> '+caption+' '+str(index)+'</a>'","def _render_link(self, url):\n # The method handlers for the 'text/html' set a flag to indicate that it's to be\n # rendered in a browser. If so, we'll render the link as clickable <a href=\"...\">.\n if self.is_html:\n return f\"<a href='{url}'>{url}</a>\"\n return url","def to_html(self) -> str:\n return f'''\n <a href=\"{self.link}\"> ({self.source_name}, {self.timestamp.strftime('%Y')}) </a>\n '''","def view_sample_link(unused1, unused2, model, unused3):\n del unused1, unused2, unused3\n return (\n Markup(\n u\"<a href='%s'>%s</a>\"\n % (url_for(\"sample.index_view\", search=model.sample.internal_id), model.sample,)\n )\n if model.sample\n else u\"\"\n )","def channel_link(self, obj):\n if obj.channel is None:\n return '\\N{EM DASH}'\n\n return format_html(\n '<a href=\"{}\">{}</a>',\n reverse('admin:mediaplatform_channel_change', args=(obj.channel.pk,)),\n obj.channel.title if obj.channel.title != '' else '[Untitled]'\n )","def object_url(self, object_t, object_id=None, relation=None):\n if object_t not in self.objects_types:\n raise TypeError(f\"{object_t} is not a valid type\")\n request_items = (\n str(item) for item in [object_t, object_id, relation] if item is not None\n )\n request_path = \"/\".join(request_items)\n return self.url(request_path)","def __url(self, object):\n return '/'.join(object.getPhysicalPath())","def exac_link(variant_obj):\n url_template = (\"http://exac.broadinstitute.org/variant/\"\n \"{this[chromosome]}-{this[position]}-{this[reference]}\"\n \"-{this[alternative]}\")\n return url_template.format(this=variant_obj)","def calendar_view_link(calendar):\n linkdef = {\n \"label\": calendar.name, \"modal\": True,\n \"title\": _(\"View calendar detail\")\n }\n if calendar.__class__.__name__ == \"UserCalendar\":\n linkdef[\"url\"] = reverse(\n \"modoboa_radicale:user_calendar_detail\", args=[calendar.pk]\n )\n else:\n linkdef[\"url\"] = reverse(\n \"modoboa_radicale:shared_calendar_detail\", args=[calendar.pk]\n )\n return render_link(linkdef)","def get_links(self, obj):\n request = self.context['request']\n detail_name = '{}-detail'.format(get_model_name(obj.__class__))\n return {\n 'self': reverse(detail_name, kwargs={'pk': obj.pk}, request=request),\n }","def format_link_segment(value):\n format_type = json_api_settings.FORMAT_RELATED_LINKS\n return format_value(value, format_type)","def make_absolute_object_link(db,id,bytes = []):\n href = db.locals[\"db_url\"] +\"/dispatcher.py/\" + \"/\".join(str(x) for x in id)\n if bytes:\n href += byte_query(bytes)\n return href","def __repr__(self):\n if self.rest:\n rest_repr = ', ' + repr(self.rest)\n else:\n rest_repr = ''\n return 'Link({0}{1})'.format(self.first, rest_repr)","def format_item_display(self, obj):\n return u\"%s - %s\" % (escape(obj.nombre),obj.rfc)","def format_link(self):\n self.url = sys.argv[1]\n video_link_regex = re.compile(\n r'(https?://)?(www\\.)?youtube\\.(com|nl)/watch\\?v=([\\w-]+)')\n playlist_link_regex = re.compile(\n r'(https?://)?(www\\.)?youtube\\.(com|nl)/playlist\\?list=([\\w-]+)')\n # check if it's a single video link\n if video_link_regex.search(self.url):\n result_regex = video_link_regex.search(self.url)\n self. url = result_regex.group().split('&')[0]\n self.show_formats()\n # check if it's a playlist link\n elif playlist_link_regex.search(self.url):\n logging. debug('Yes it a playlist')\n result_regex = playlist_link_regex.search(self.url)\n playlist_link = result_regex.group().split('&')[0]\n self. get_videos_in_playlist()\n # check if link is not a youtube link\n else:\n logging.debug('Not even a yt link')\n sys. exit()","def gnomad_link(variant_obj):\n url_template = (\"http://gnomad.broadinstitute.org/variant/{this[chromosome]}-\"\n \"{this[position]}-{this[reference]}-{this[alternative]}\")\n return url_template.format(this=variant_obj)","def label_link(self, obj):\n if not obj.record_label:\n return None\n url = reverse(\n 'admin:music_publisher_label_change', args=[obj.record_label.id])\n link = '<a href=\"{}\">{}</a>'.format(url, obj.record_label)\n return mark_safe(link)","def url_for_object(self, key: typing.Optional[str]=None) -> str:\n ...","def requestShowLink(self, *args, **kwargs): # real signature unknown\n pass","def entry_shortlink(request, object_id):\n entry = get_object_or_404(Entry, pk=object_id)\n return redirect(entry, permanent=True)","def make_object_link(philo_id, hit_bytes):\n href = \"./\" + \"/\".join(str(x) for x in philo_id) + byte_query(hit_bytes)\n return href","def view_family_sample_link(unused1, unused2, model, unused3):\n\n del unused1, unused2, unused3\n\n return Markup(\n u\"<a href='%s'>%s</a>\"\n % (url_for(\"familysample.index_view\", search=model.internal_id), model.internal_id,)\n )","def get_anchor_tag(self):\n return f\"<a href={self.get_absolute_url()}>{self.display_name}</a>\"","async def link_to(self, *args):\n pass","def format_link(self, link):\n new_link = \"/\".join(link.split(\"/\")[0:3])\n return \"http://www.imdb.com\" + new_link","def path_for(objectid):","def url(self):\n if self.term_type != 'C':\n url_fmt = self.path_level_url_fmt\n url_info = {'id': self.term_type}\n else:\n url_fmt = self.obj_level_url_fmt\n url_info = {'org_prefix': self.org_prefix, 'id': self.term_id}\n\n return url_fmt % url_info","def format_match(self, obj):\n return self.format_item_display(obj)","def format_match(self, obj):\n return self.format_item_display(obj)","def url_to_edit(obj):\n return reverse(\n 'admin:%s_%s_change' % (obj._meta.app_label, obj._meta.model_name),\n args=[obj.id]\n )","def print_link(link):\n print('<' + helper(link).rstrip() + '>')","def format_url(self, url, text):\r\n return u'<a href=\"%s\">%s</a>' % (escape(url), text)","def get_url(self):\n if self.object_id is None:\n return '{0}/{1}'.format(self.parent.get_url(), self.path)\n\n return '{0}/{1}/{2}'.format(self.parent.get_url(), self.path,\n self.object_id.replace('/', '-'))","def __repr__(self):\n ## return str(self.first) + \" -> \" + repr(self.rest)\n if self.rest is Link.empty:\n rest_str = \"\"\n else:\n rest_str = \", \" + repr(self.rest)\n return \"Link({0}{1})\".format(self.first, rest_str)","def render_summary(self, record, value):\n review_link = reverse('review-detail', kwargs={'ods_code': record.organisations.all()[0].ods_code, 'cobrand': 'choices', 'api_posting_id': record.api_posting_id})\n return mark_safe(u'<a href=\"{0}\">{1}</a>'.format(review_link, conditional_escape(value)))","def format_url(self, command):\n\n return '{}{}'.format(self.url,command)","def get_obj_admin_path(obj):\n from django.contrib.contenttypes.models import ContentType\n content_type = ContentType.objects.get_for_model(obj)\n return '/admin/%s/%s/%s' % (content_type.app_label, content_type.model, str(obj.pk))","def html_link(self):\n if self.id:\n unescaped_url = f'/themes/{self.name or \"\"}--{self.id}'\n return mark_safe(f'<a href=\"{self.url_path}\" target=\"_blank\">{unescaped_url}</a>')\n else:\n return 'Pas encore live'","def process_link(self, env, refnode, has_explicit_title, title, target):\n refnode['json:name'] = normalize_object_name(target)\n return title, normalize_object_name(target)","def format(obj): # pylint: disable=W0622\n# print '>>', obj\n if hasattr(obj, 'format'):\n return obj.format()\n return \"%s\" % obj","def playlist_link(self, obj):\n if obj.playlist is None:\n return '\\N{EM DASH}'\n\n return format_html(\n '<a href=\"{}\">{}</a>',\n reverse('admin:mediaplatform_playlist_change', args=(obj.playlist.pk,)),\n obj.playlist.title if obj.playlist.title != '' else '[Untitled]'\n )","def version_absolute_url_path(self, obj,date=None):\n date = date if date is not None else obj.bobobase_modification_time()\n version = '/%s%s' % (self.prefix, int(date.timeTime()))\n local_path = self.absolute_url_path()\n parent_path = local_path.replace('/'+self.id, '')\n obj_path = obj.absolute_url_path()\n return local_path + version + obj_path.replace(parent_path, '')","def render_name(self, record):\n return format_html(\n \"\"\"<a href=\"#\" class=\"js-view-edit\"\n data-toggle=\"tooltip\" data-url=\"{0}\"\n title=\"{1}\">{2}</a>\"\"\",\n reverse('table:view_edit', kwargs={'pk': record['id']}),\n _('Change the columns present in the view'),\n record['name'],\n )","def get_href(self, obj: Profile):\n request = self.context['request']\n return reverse('accounts:profile', request=request, kwargs={'pk': obj.id})","def view_application_link(unused1, unused2, model, unused3):\n del unused1, unused2, unused3\n return (\n Markup(\n u\"<a href='%s'>%s</a>\"\n % (\n url_for(\"application.index_view\", search=model.application.tag),\n model.application.tag,\n )\n )\n if model.application\n else u\"\"\n )","def subscriber_detail(self):\n model_name = Subscriber._meta.object_name.lower()\n app_label = self._meta.app_label\n link = '/admin/%s/%s/' % (app_label, model_name)\n link += '?campaign__id=%d' % self.id\n display_link = _(\"<a href='%(link)s'>%(name)s</a>\") % \\\n {'link': link, 'name': _('details')}\n return display_link","def link_view(context, request):\n can_edit = ptah.checkPermission(ptah_cms.ModifyContent, context)\n\n if can_edit:\n vform = form.DisplayForm(context, request) # needs better UI\n vform.fields = Link.__type__.fieldset\n vform.content = {\n 'title': context.title,\n 'description': context.description,\n 'href': context.href}\n vform.update()\n # the below render() would display form html without enclosing layout\n #return vform.render()\n\n \"\"\"\n this should render the display form with layout applied\n The layout is the \"wrapping HTML\" e.g. ptah_app layout you\n see at http://localhost:8080/\n \"\"\"\n layout = view.queryLayout(request, context)\n return layout(vform.render())\n\n raise HTTPFound(location=context.href)","def to_projectlink(self):\n\n thumb_image_url = reverse('project_serve_file', args=[self.short_name,self.logo])\n\n args = {\"abreviation\":self.short_name,\n \"title\":self.short_name,\n \"description\":self.description,\n \"URL\":reverse('comicsite.views.site', args=[self.short_name]),\n \"download URL\":\"\",\n \"submission URL\":self.get_submission_URL(),\n \"event name\":self.event_name,\n \"year\":\"\",\n \"event URL\":self.event_url,\n \"image URL\":self.logo,\n \"thumb_image_url\":thumb_image_url,\n \"website section\":\"active challenges\",\n \"overview article url\":self.publication_url,\n \"overview article journal\":self.publication_journal_name,\n \"overview article citations\":\"\",\n \"overview article date\":\"\",\n \"submission deadline\":\"\",\n \"workshop date\":self.workshop_date,\n \"open for submission\":\"yes\" if self.is_open_for_submissions else \"no\",\n \"data download\":\"yes\" if self.offers_data_download else \"no\",\n \"dataset downloads\":self.number_of_downloads,\n \"registered teams\":\"\",\n \"submitted results\":self.number_of_submissions,\n \"last submission date\":self.last_submission_date,\n \"hosted on comic\":True,\n \"created at\":self.created_at\n }\n\n projectlink = ProjectLink(args)\n return projectlink","def linkified_description(self):\n links = []\n def linkify(matchobj, links=links):\n if '|' in matchobj.group(1):\n url = matchobj.group(1).split('|')\n link = format_html('<a href=\"{0}\" target=\"_blank\">{1}</a>', url[0], url[1])\n else:\n link = format_html('<a href=\"{0}\" target=\"_blank\">{1}</a>', self.url, matchobj.group(1))\n links.append(link)\n return '{%d}' % (len(links) - 1)\n\n fmt = re.sub(r'\\[\\[([^\\]]+)\\]\\]', linkify, self.description)\n return format_html(fmt, *links)","def link(self, link):\r\n return links.Link(self, link)","def cal_link(self):\n return get_host() + reverse('events:detail', args=[self.id])","def user2Link(user): \n # could also look up mail addrs via a table lookup, etc\n return '<a href=\"mailto:%(user)s@somewebsite.com\">%(user)s</a>' % {\"user\": user}","def undo_format_link_segment(value):\n\n if json_api_settings.FORMAT_RELATED_LINKS:\n return format_value(value, \"underscore\")\n\n return value","def format_value(obj, field_name):\n display_func = getattr(obj, 'get_%s_display' % field_name, None)\n if display_func:\n return display_func()\n value = getattr(obj, field_name)\n\n if isinstance(value, models.fields.files.FieldFile):\n if value:\n return mark_safe('<a href=\"%s\">%s</a>' % (\n value.url,\n os.path.basename(value.name),\n ))\n else:\n return ''\n\n if isinstance(value, models.Model):\n return format_value_instance(value)\n\n if isinstance(value, models.Manager):\n return mark_safe(', '.join(\n [format_value_instance(instance) for instance in value.all()]\n ))\n if value is None:\n value = \"\"\n return value","def edit_link(instance):\n\n try:\n content_type = ContentType.objects.get_for_model(instance.__class__)\n except AttributeError:\n raise ValueError('Passed value must be registered model instance')\n else:\n model_admin_change_link = 'admin:{app}_{model}_change'.format(\n app=content_type.app_label,\n model=content_type.model\n )\n return reverse(model_admin_change_link, args=(instance.id,))","def get_absolute_url(self):\n\t\treturn reverse('source-detail', args=[str(self.id)])","def _render_link(self, context, name, label, extra=''):\n product = Product.select(self.env, where={'name' : name})\n if product:\n product = product[0]\n href = context.href.products(product.prefix)\n if 'PRODUCT_VIEW' in context.perm(product.resource):\n return tag.a(label, class_='product', href=href + extra)\n elif 'PRODUCT_CREATE' in context.perm('product', name):\n return tag.a(label, class_='missing product', \n href=context.href('products', action='new'),\n rel='nofollow')\n return tag.a(label, class_='missing product')","def _format_obj(cls, **kwargs):\n def doc_rebuilder(obj):\n if kwargs.pop('_VOID_',False):\n return ''\n try:\n doc = getattr(obj,'__doc__')\n assert doc\n except:\n return ''\n else:\n return doc.format(**kwargs) # str(doc).format(**kwargs)\n return doc_rebuilder","def render(self, context):\n try:\n # Retrieve the object instance.\n obj = Variable(self.obj).resolve(context)\n except VariableDoesNotExist:\n obj = self.obj\n \n try:\n urlname = 'admin:%s_%s_change' % (\n obj._meta.app_label, obj._meta.module_name\n )\n url = reverse(urlname, args=(obj.pk,))\n except NoReverseMatch, err:\n if settings.TEMPLATE_DEBUG:\n print \"Got an exception resolving an admin url: \", err\n return ''\n \n if self.varname:\n context[self.varname] = url\n else:\n return url","def get_absolute_url(self):\n return reverse('model-detail-view', args=[str(self.id)])"],"string":"[\n \"def link(text, link_func):\\n def object_formatter(v, c, m, p):\\n \\\"\\\"\\\"Format object view link.\\\"\\\"\\\"\\n return Markup('<a href=\\\"{0}\\\">{1}</a>'.format(\\n link_func(m), text))\\n return object_formatter\",\n \"def link(self, obj):\\n return format_html(\\n '<a href=\\\"{url}\\\">{url}</a>',\\n url='https://sms.cam.ac.uk/collection/{}'.format(obj.id)\\n )\",\n \"def object_view_with_links(obj, request):\\n _view = _object_view(obj, request)\\n obj_link = obj_ui_link = \\\"\\\"\\n # UI link to the real business object referenced as topic\\n if isinstance(obj, Posting):\\n obj_ui_link = request.link(obj, app=get_root(request).child(\\\"activitystream\\\"))\\n else:\\n try:\\n obj_link = request.link(obj, app=_get_collection_app(request))\\n except morepath.error.LinkError:\\n pass\\n obj_ui_link = get_ui_link(request, obj) or \\\"\\\"\\n _view.update({\\n \\\"object_id\\\": obj_link,\\n \\\"object_ui_link\\\": obj_ui_link})\\n return _view\",\n \"def link(self, obj):\\n return format_html(\\n '<a href=\\\"{url}\\\">{url}</a>',\\n url='https://sms.cam.ac.uk/media/{}'.format(obj.id)\\n )\",\n \"def _change_link(self, obj, display_text=None):\\n if not obj:\\n return '?'\\n fragments = [obj._meta.app_label, obj._meta.model_name, 'change']\\n change_url = reverse(\\\"admin:{}\\\".format('_'.join(fragments)),\\n args=(obj.id,))\\n display_text = display_text or unicode(obj)\\n return format_html(\\\"<a href={}>{}</a>\\\", change_url, display_text)\",\n \"def href(obj):\\n if isinstance(obj, Filing):\\n return reverse('filing', args=(obj.region, obj.name, obj.period_name))\\n else:\\n raise ValueError('cannot build a URL for {}.{} objects'.format(\\n type(obj).__module__, type(obj).__name__))\",\n \"def view_link(self, obj):\\n if obj.cwr:\\n url = reverse(\\n 'admin:music_publisher_ackimport_change', args=(obj.id,))\\n url += '?preview=true'\\n return mark_safe(\\n '<a href=\\\"{}\\\" target=\\\"_blank\\\">View CWR</a>'.format(url))\",\n \"def pybb_link(object, anchor=''):\\n\\n url = hasattr(object, 'get_absolute_url') and object.get_absolute_url() or None\\n #noinspection PyRedeclaration\\n anchor = anchor or smart_text(object)\\n return mark_safe('<a href=\\\"%s\\\">%s</a>' % (url, escape(anchor)))\",\n \"def viewurilink(uri) :\\n\\tname = schema.uri_to_name(uri)\\n\\tif name :\\n\\t\\turl = '/view/name/' + quote(name)\\n\\telif uri[:7] == \\\"http://\\\" :\\n\\t\\turl = '/view/uri/' + uri[7:]\\n\\telse :\\n\\t\\turl = '/view/uri?id=' + uri\\n\\t\\n\\treturn '<a href=\\\"%s\\\">%s</a>' % (url, name or n.shorten(uri))\",\n \"def detail_link(db_obj, text=None):\\n\\n def build_link(obj):\\n name = str(obj) if text is None else text\\n return _make_link(obj.detail_url(), name)\\n\\n return mark_safe(', '.join(map(build_link, as_list(db_obj))))\",\n \"def view_bed_link(unused1, unused2, model, unused3):\\n del unused1, unused2, unused3\\n return (\\n Markup(\\n u\\\"<a href='%s'>%s</a>\\\"\\n % (url_for(\\\"bed.index_view\\\", search=model.bed.name), model.bed.name)\\n )\\n if model.bed\\n else u\\\"\\\"\\n )\",\n \"def linkify(field_name):\\n def _linkify(obj):\\n linked_obj = getattr(obj, field_name)\\n if linked_obj is None:\\n return '-'\\n app_label = linked_obj._meta.app_label\\n model_name = linked_obj._meta.model_name\\n view_name = f'admin:{app_label}_{model_name}_change'\\n link_url = reverse(view_name, args=[linked_obj.pk])\\n return format_html('<a href=\\\"{}\\\">{}</a>', link_url, linked_obj)\\n\\n _linkify.short_description = field_name # Sets column name\\n return _linkify\",\n \"def view_link(self, obj):\\n if obj.cwr:\\n url = reverse(\\n 'admin:music_publisher_cwrexport_change', args=(obj.id,))\\n url += '?preview=true'\\n return mark_safe(\\n '<a href=\\\"{}\\\" target=\\\"_blank\\\">View CWR</a>'.format(url))\",\n \"def linkify(field_name):\\n\\n def _linkify(obj):\\n linked_obj = getattr(obj, field_name)\\n if linked_obj is None:\\n return '-'\\n app_label = linked_obj._meta.app_label\\n model_name = linked_obj._meta.model_name\\n view_name = f'admin:{app_label}_{model_name}_change'\\n link_url = reverse(view_name, args=[linked_obj.pk])\\n return format_html('<a href=\\\"{}\\\">{}</a>', link_url, linked_obj)\\n\\n _linkify.short_description = field_name # Sets column name\\n return _linkify\",\n \"def item_link(self, obj):\\n if obj.item is None:\\n return '\\\\N{EM DASH}'\\n\\n return format_html(\\n '<a href=\\\"{}\\\">{}</a>',\\n reverse('admin:mediaplatform_mediaitem_change', args=(obj.item.pk,)),\\n obj.item.title if obj.item.title != '' else '[Untitled]'\\n )\",\n \"def __str__(self):\\n\\t\\treturn '{0} ({1})'.format (self.name, self.link)\",\n \"def format(self, obj):\\n pass\",\n \"def format(self, obj):\\n pass\",\n \"def fmt(e):\\n name = str(e.label.first() if hasattr(e, 'label') and e.label else e)\\n if re.match(r'^[a-z]+://', name):\\n return link.format(name=name, url=name)\\n if hasattr(e, 'label') and e.label:\\n name = e.label.first()\\n url = name if re.match(r'^[a-z]+://', name) else '#' + name\\n return link.format(name=name, url=url)\\n elif re.match(r'^[a-z]+://', str(e)):\\n return link.format(name=e, url=e)\\n else:\\n return str(e).replace('owl.', 'owl:')\",\n \"def get_object_view_url(self, nuxeo_id):\\n parts = urlparse.urlsplit(self.nx.conf[\\\"api\\\"])\\n url = \\\"{}://{}/Nuxeo/nxdoc/default/{}/view_documents\\\".format(parts.scheme, parts.netloc, nuxeo_id) \\n return url\",\n \"def getLink(self):\",\n \"def cook(self, obj, request, field_name):\\n view_url = ''\\n edit_url = ''\\n \\n if hasattr(obj, 'get_absolute_url'):\\n view_url = obj.get_absolute_url();\\n if request.user.has_perm('%s.change_%s' %(obj._meta.app_label, obj._meta.model_name)):\\n\\t\\t\\tedit_url = reverse('admin:%s_%s_change' %(obj._meta.app_label, obj._meta.model_name), args=[obj.id])\\n\\t\\t\\n result = {'text': unicode(obj),\\n 'view_url': view_url,\\n 'edit_url': edit_url\\n }\\n return result\",\n \"def deriveLinkfromObject(obj, scale=1, parent_link=True, parent_objects=True,\\n reparent_children=True, nameformat='', scaleByBoundingBox=False):\\n log('Deriving link from ' + nUtils.getObjectName(obj), level=\\\"INFO\\\")\\n # create armature/bone\\n bUtils.toggleLayer('link', True)\\n bpy.ops.object.select_all(action='DESELECT')\\n bpy.ops.object.armature_add()\\n newlink = bpy.context.active_object\\n newlink.name = obj.name + \\\"_link\\\"\\n newlink.matrix_world = obj.matrix_world\\n newlink.phobostype = 'link'\\n if scaleByBoundingBox:\\n bound_box = (\\n max([c[0] for c in obj.bound_box]),\\n max([c[1] for c in obj.bound_box]),\\n max([c[2] for c in obj.bound_box]),\\n )\\n newlink.scale = [max(bound_box)*scale] * 3\\n else:\\n newlink.scale = [scale] * 3\\n if obj.parent is not None and parent_link:\\n eUtils.parentObjectsTo(newlink, obj.parent)\\n if parent_objects:\\n eUtils.parentObjectsTo(obj, newlink)\\n if reparent_children:\\n eUtils.parentObjectsTo(list(obj.children), newlink)\\n if bpy.context.scene.phoboswireframesettings.links:\\n newlink.display_type = \\\"WIRE\\\"\\n return newlink\",\n \"def view_family_link(unused1, unused2, model, unused3):\\n del unused1, unused2, unused3\\n return (\\n Markup(\\n u\\\"<a href='%s'>%s</a>\\\"\\n % (url_for(\\\"family.index_view\\\", search=model.family.internal_id), model.family,)\\n )\\n if model.family\\n else u\\\"\\\"\\n )\",\n \"def render_url(self, object_id):\\r\\n return reverse(\\\"%s:insert_%s_%s_render\\\" % (\\r\\n self.admin_site.name,\\r\\n self.model._meta.app_label,\\r\\n self.model._meta.module_name\\r\\n ), args=(object_id,))\",\n \"def build_url_long(self, obj):\\n if obj.slug:\\n url = self.request.build_absolute_uri(reverse('build_repo', args=(obj.slug,)))\\n return '<a href=\\\"%s\\\" target=\\\"_blank\\\">%s<a>' % (url, url)\\n else:\\n return ''\",\n \"def view_invoice_link(unused1, unused2, model, unused3):\\n del unused1, unused2, unused3\\n return (\\n Markup(\\n u\\\"<a href='%s'>%s</a>\\\"\\n % (\\n url_for(\\\"invoice.index_view\\\", search=model.invoice.id),\\n model.invoice.invoiced_at.date()\\n if model.invoice.invoiced_at\\n else \\\"In progress\\\",\\n )\\n )\\n if model.invoice\\n else u\\\"\\\"\\n )\",\n \"def command_view(arguments):\\n global current_mode, current_name\\n current_mode = Mode.links\\n current_name = arguments[0]\\n return 'Now viewing entity \\\"' + current_name + '\\\"'\",\n \"def linkify(obj, link_text=''):\\n try:\\n lst = []\\n # if obj is not a list, convert it into a list\\n if not getattr(obj, '__iter__', False):\\n obj = [obj]\\n for item in obj:\\n if hasattr(item, 'child'):\\n item = item.child\\n if link_text == '':\\n l_text = unicode(item)\\n else:\\n try:\\n link_text = link_text.encode('ascii')\\n l_text = getattr(item, link_text, link_text)\\n except UnicodeEncodeError:\\n l_text = link_text\\n if not (isinstance(item, Content) and\\n isinstance(l_text, SafeText)):\\n l_text = filter.force_escape(l_text)\\n format_args = (item.get_absolute_url(), l_text)\\n lst.append(mark_safe('<a href=\\\\'%s\\\\'>%s</a>' % format_args))\\n\\n # nonlists obj's should be returned as nonlists\\n return lst[0] if len(lst) == 1 else lst\\n except:\\n return ''\",\n \"def renderView(self):\\n html = \\\"\\\"\\n if self.lms.lms == \\\"other\\\":\\n html += \\\"_______________________________<br/>\\\"\\n url = \\\"http://%s\\\" % self.lms.otherUrl\\n html += \\\"<br/><b>%s </b>\\\" % self.lms.otherLabel\\n html += '<a href=\\\"%s\\\">%s</a>' % (url, url) \\n return html\",\n \"def work_link(self, obj):\\n url = reverse('admin:music_publisher_work_change', args=[obj.work.id])\\n link = '<a href=\\\"{}\\\">{}</a>'.format(url, obj.work)\\n return mark_safe(link)\",\n \"def __str__(self):\\n return '<a href=\\\"%s\\\" class=\\\"%s\\\" %s>%s</a>' % (self.url, self.cssclass, self.options, self.text)\",\n \"def urlLink(self, text=None, url=None, attrs={}):\\n if not text:\\n text = self.titleOrId()\\n text = escape(text)\\n if not self.checkRemotePerm(\\\"View\\\", self):\\n return text\\n if not url:\\n url = self.getPrimaryUrlPath()\\n if len(attrs):\\n return '<a href=\\\"%s\\\" %s>%s</a>' % (url,\\n ' '.join('%s=\\\"%s\\\"' % (x,y) for x,y in attrs.items()),\\n text)\\n else:\\n return '<a href=\\\"%s\\\">%s</a>' % (url, text)\",\n \"def show_orion_url(self, obj):\\n return obj.orion_url\",\n \"def link(self):\\n return f\\\"[{self.numbered_title}]({self.html_url})\\\"\",\n \"def get_link(self, path, method, view):\\n description = self.get_description(path, method, view)\\n\\n fields = []\\n if '---' not in description:\\n fields += self.get_path_fields(path, method, view)\\n fields += self.get_serializer_fields(path, method, view)\\n fields += self.get_pagination_fields(path, method, view)\\n fields += self.get_filter_fields(path, method, view)\\n\\n if description:\\n vals = list(yaml.load_all(description))\\n description, para_lst = vals[0], vals[1]\\n if para_lst and para_lst.get('parameters'):\\n for para in para_lst['parameters']:\\n fields.append(coreapi.Field(\\n name=para['name'],\\n required=para['required'],\\n location=para.get('paramType', 'query'),\\n description=para['description'],\\n type=para.get('type', 'string')\\n ))\\n\\n if fields and any([field.location in ('form', 'body') for field in fields]):\\n # encoding = self.get_encoding(path, method, view)\\n encoding = 'multipart/form-data'\\n else:\\n encoding = None\\n\\n\\n if self.url and path.startswith('/'):\\n path = path[1:]\\n\\n return coreapi.Link(\\n url=urlparse.urljoin(self.url, path),\\n action=method.lower(),\\n encoding=encoding,\\n fields=fields,\\n description=description\\n )\",\n \"def _generate_context_link(\\n context: mlrun.MLClientCtx, link_text: str = \\\"view in MLRun\\\"\\n ) -> str:\\n return (\\n '<a href=\\\"{}/{}/{}/jobs/monitor/{}/overview\\\" target=\\\"_blank\\\">{}</a>'.format(\\n config.resolve_ui_url(),\\n config.ui.projects_prefix,\\n context.project,\\n context.uid,\\n link_text,\\n )\\n )\",\n \"def _format_to_link(self, commit):\\n return os.path.join(self.mount, \\\"commits-by-hash\\\", self._hash_updir(commit), commit) + \\\"/\\\"\",\n \"def edit_link(db_object, text=None):\\n if text is None:\\n text = 'edit'\\n return _make_link(db_object.update_url(), text)\",\n \"def object_view(request, simulation, object_name):\\n owner = can_edit(request.user, simulation)\\n query = get_query(object_name, simulation)\\n large_count = query.count() > OBJECT_THRESHOLD\\n network_empty = False\\n if object_name == 'link':\\n # Allow the user to edit links only if there are at least two centroids,\\n # one crossing and one congestion function.\\n nb_centroids = get_query('centroid', simulation).count()\\n nb_crossings = get_query('crossing', simulation).count()\\n nb_functions = get_query('function', simulation).count()\\n network_empty = not (nb_centroids >= 2 and nb_crossings >= 1\\n and nb_functions >= 1)\\n import_form = ImportForm()\\n context = {\\n 'simulation': simulation,\\n 'owner': owner,\\n 'count': query.count(),\\n 'object': object_name,\\n 'large_count': large_count,\\n 'network_empty': network_empty,\\n 'import_form': import_form,\\n }\\n return render(request, 'metro_app/object_view.html', context)\",\n \"def make_link_to(self, index, caption):\\n \\n # index is an int\\n return '<a href=\\\"/log/'+str(index)+'\\\"> '+caption+' '+str(index)+'</a>'\",\n \"def _render_link(self, url):\\n # The method handlers for the 'text/html' set a flag to indicate that it's to be\\n # rendered in a browser. If so, we'll render the link as clickable <a href=\\\"...\\\">.\\n if self.is_html:\\n return f\\\"<a href='{url}'>{url}</a>\\\"\\n return url\",\n \"def to_html(self) -> str:\\n return f'''\\n <a href=\\\"{self.link}\\\"> ({self.source_name}, {self.timestamp.strftime('%Y')}) </a>\\n '''\",\n \"def view_sample_link(unused1, unused2, model, unused3):\\n del unused1, unused2, unused3\\n return (\\n Markup(\\n u\\\"<a href='%s'>%s</a>\\\"\\n % (url_for(\\\"sample.index_view\\\", search=model.sample.internal_id), model.sample,)\\n )\\n if model.sample\\n else u\\\"\\\"\\n )\",\n \"def channel_link(self, obj):\\n if obj.channel is None:\\n return '\\\\N{EM DASH}'\\n\\n return format_html(\\n '<a href=\\\"{}\\\">{}</a>',\\n reverse('admin:mediaplatform_channel_change', args=(obj.channel.pk,)),\\n obj.channel.title if obj.channel.title != '' else '[Untitled]'\\n )\",\n \"def object_url(self, object_t, object_id=None, relation=None):\\n if object_t not in self.objects_types:\\n raise TypeError(f\\\"{object_t} is not a valid type\\\")\\n request_items = (\\n str(item) for item in [object_t, object_id, relation] if item is not None\\n )\\n request_path = \\\"/\\\".join(request_items)\\n return self.url(request_path)\",\n \"def __url(self, object):\\n return '/'.join(object.getPhysicalPath())\",\n \"def exac_link(variant_obj):\\n url_template = (\\\"http://exac.broadinstitute.org/variant/\\\"\\n \\\"{this[chromosome]}-{this[position]}-{this[reference]}\\\"\\n \\\"-{this[alternative]}\\\")\\n return url_template.format(this=variant_obj)\",\n \"def calendar_view_link(calendar):\\n linkdef = {\\n \\\"label\\\": calendar.name, \\\"modal\\\": True,\\n \\\"title\\\": _(\\\"View calendar detail\\\")\\n }\\n if calendar.__class__.__name__ == \\\"UserCalendar\\\":\\n linkdef[\\\"url\\\"] = reverse(\\n \\\"modoboa_radicale:user_calendar_detail\\\", args=[calendar.pk]\\n )\\n else:\\n linkdef[\\\"url\\\"] = reverse(\\n \\\"modoboa_radicale:shared_calendar_detail\\\", args=[calendar.pk]\\n )\\n return render_link(linkdef)\",\n \"def get_links(self, obj):\\n request = self.context['request']\\n detail_name = '{}-detail'.format(get_model_name(obj.__class__))\\n return {\\n 'self': reverse(detail_name, kwargs={'pk': obj.pk}, request=request),\\n }\",\n \"def format_link_segment(value):\\n format_type = json_api_settings.FORMAT_RELATED_LINKS\\n return format_value(value, format_type)\",\n \"def make_absolute_object_link(db,id,bytes = []):\\n href = db.locals[\\\"db_url\\\"] +\\\"/dispatcher.py/\\\" + \\\"/\\\".join(str(x) for x in id)\\n if bytes:\\n href += byte_query(bytes)\\n return href\",\n \"def __repr__(self):\\n if self.rest:\\n rest_repr = ', ' + repr(self.rest)\\n else:\\n rest_repr = ''\\n return 'Link({0}{1})'.format(self.first, rest_repr)\",\n \"def format_item_display(self, obj):\\n return u\\\"%s - %s\\\" % (escape(obj.nombre),obj.rfc)\",\n \"def format_link(self):\\n self.url = sys.argv[1]\\n video_link_regex = re.compile(\\n r'(https?://)?(www\\\\.)?youtube\\\\.(com|nl)/watch\\\\?v=([\\\\w-]+)')\\n playlist_link_regex = re.compile(\\n r'(https?://)?(www\\\\.)?youtube\\\\.(com|nl)/playlist\\\\?list=([\\\\w-]+)')\\n # check if it's a single video link\\n if video_link_regex.search(self.url):\\n result_regex = video_link_regex.search(self.url)\\n self. url = result_regex.group().split('&')[0]\\n self.show_formats()\\n # check if it's a playlist link\\n elif playlist_link_regex.search(self.url):\\n logging. debug('Yes it a playlist')\\n result_regex = playlist_link_regex.search(self.url)\\n playlist_link = result_regex.group().split('&')[0]\\n self. get_videos_in_playlist()\\n # check if link is not a youtube link\\n else:\\n logging.debug('Not even a yt link')\\n sys. exit()\",\n \"def gnomad_link(variant_obj):\\n url_template = (\\\"http://gnomad.broadinstitute.org/variant/{this[chromosome]}-\\\"\\n \\\"{this[position]}-{this[reference]}-{this[alternative]}\\\")\\n return url_template.format(this=variant_obj)\",\n \"def label_link(self, obj):\\n if not obj.record_label:\\n return None\\n url = reverse(\\n 'admin:music_publisher_label_change', args=[obj.record_label.id])\\n link = '<a href=\\\"{}\\\">{}</a>'.format(url, obj.record_label)\\n return mark_safe(link)\",\n \"def url_for_object(self, key: typing.Optional[str]=None) -> str:\\n ...\",\n \"def requestShowLink(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def entry_shortlink(request, object_id):\\n entry = get_object_or_404(Entry, pk=object_id)\\n return redirect(entry, permanent=True)\",\n \"def make_object_link(philo_id, hit_bytes):\\n href = \\\"./\\\" + \\\"/\\\".join(str(x) for x in philo_id) + byte_query(hit_bytes)\\n return href\",\n \"def view_family_sample_link(unused1, unused2, model, unused3):\\n\\n del unused1, unused2, unused3\\n\\n return Markup(\\n u\\\"<a href='%s'>%s</a>\\\"\\n % (url_for(\\\"familysample.index_view\\\", search=model.internal_id), model.internal_id,)\\n )\",\n \"def get_anchor_tag(self):\\n return f\\\"<a href={self.get_absolute_url()}>{self.display_name}</a>\\\"\",\n \"async def link_to(self, *args):\\n pass\",\n \"def format_link(self, link):\\n new_link = \\\"/\\\".join(link.split(\\\"/\\\")[0:3])\\n return \\\"http://www.imdb.com\\\" + new_link\",\n \"def path_for(objectid):\",\n \"def url(self):\\n if self.term_type != 'C':\\n url_fmt = self.path_level_url_fmt\\n url_info = {'id': self.term_type}\\n else:\\n url_fmt = self.obj_level_url_fmt\\n url_info = {'org_prefix': self.org_prefix, 'id': self.term_id}\\n\\n return url_fmt % url_info\",\n \"def format_match(self, obj):\\n return self.format_item_display(obj)\",\n \"def format_match(self, obj):\\n return self.format_item_display(obj)\",\n \"def url_to_edit(obj):\\n return reverse(\\n 'admin:%s_%s_change' % (obj._meta.app_label, obj._meta.model_name),\\n args=[obj.id]\\n )\",\n \"def print_link(link):\\n print('<' + helper(link).rstrip() + '>')\",\n \"def format_url(self, url, text):\\r\\n return u'<a href=\\\"%s\\\">%s</a>' % (escape(url), text)\",\n \"def get_url(self):\\n if self.object_id is None:\\n return '{0}/{1}'.format(self.parent.get_url(), self.path)\\n\\n return '{0}/{1}/{2}'.format(self.parent.get_url(), self.path,\\n self.object_id.replace('/', '-'))\",\n \"def __repr__(self):\\n ## return str(self.first) + \\\" -> \\\" + repr(self.rest)\\n if self.rest is Link.empty:\\n rest_str = \\\"\\\"\\n else:\\n rest_str = \\\", \\\" + repr(self.rest)\\n return \\\"Link({0}{1})\\\".format(self.first, rest_str)\",\n \"def render_summary(self, record, value):\\n review_link = reverse('review-detail', kwargs={'ods_code': record.organisations.all()[0].ods_code, 'cobrand': 'choices', 'api_posting_id': record.api_posting_id})\\n return mark_safe(u'<a href=\\\"{0}\\\">{1}</a>'.format(review_link, conditional_escape(value)))\",\n \"def format_url(self, command):\\n\\n return '{}{}'.format(self.url,command)\",\n \"def get_obj_admin_path(obj):\\n from django.contrib.contenttypes.models import ContentType\\n content_type = ContentType.objects.get_for_model(obj)\\n return '/admin/%s/%s/%s' % (content_type.app_label, content_type.model, str(obj.pk))\",\n \"def html_link(self):\\n if self.id:\\n unescaped_url = f'/themes/{self.name or \\\"\\\"}--{self.id}'\\n return mark_safe(f'<a href=\\\"{self.url_path}\\\" target=\\\"_blank\\\">{unescaped_url}</a>')\\n else:\\n return 'Pas encore live'\",\n \"def process_link(self, env, refnode, has_explicit_title, title, target):\\n refnode['json:name'] = normalize_object_name(target)\\n return title, normalize_object_name(target)\",\n \"def format(obj): # pylint: disable=W0622\\n# print '>>', obj\\n if hasattr(obj, 'format'):\\n return obj.format()\\n return \\\"%s\\\" % obj\",\n \"def playlist_link(self, obj):\\n if obj.playlist is None:\\n return '\\\\N{EM DASH}'\\n\\n return format_html(\\n '<a href=\\\"{}\\\">{}</a>',\\n reverse('admin:mediaplatform_playlist_change', args=(obj.playlist.pk,)),\\n obj.playlist.title if obj.playlist.title != '' else '[Untitled]'\\n )\",\n \"def version_absolute_url_path(self, obj,date=None):\\n date = date if date is not None else obj.bobobase_modification_time()\\n version = '/%s%s' % (self.prefix, int(date.timeTime()))\\n local_path = self.absolute_url_path()\\n parent_path = local_path.replace('/'+self.id, '')\\n obj_path = obj.absolute_url_path()\\n return local_path + version + obj_path.replace(parent_path, '')\",\n \"def render_name(self, record):\\n return format_html(\\n \\\"\\\"\\\"<a href=\\\"#\\\" class=\\\"js-view-edit\\\"\\n data-toggle=\\\"tooltip\\\" data-url=\\\"{0}\\\"\\n title=\\\"{1}\\\">{2}</a>\\\"\\\"\\\",\\n reverse('table:view_edit', kwargs={'pk': record['id']}),\\n _('Change the columns present in the view'),\\n record['name'],\\n )\",\n \"def get_href(self, obj: Profile):\\n request = self.context['request']\\n return reverse('accounts:profile', request=request, kwargs={'pk': obj.id})\",\n \"def view_application_link(unused1, unused2, model, unused3):\\n del unused1, unused2, unused3\\n return (\\n Markup(\\n u\\\"<a href='%s'>%s</a>\\\"\\n % (\\n url_for(\\\"application.index_view\\\", search=model.application.tag),\\n model.application.tag,\\n )\\n )\\n if model.application\\n else u\\\"\\\"\\n )\",\n \"def subscriber_detail(self):\\n model_name = Subscriber._meta.object_name.lower()\\n app_label = self._meta.app_label\\n link = '/admin/%s/%s/' % (app_label, model_name)\\n link += '?campaign__id=%d' % self.id\\n display_link = _(\\\"<a href='%(link)s'>%(name)s</a>\\\") % \\\\\\n {'link': link, 'name': _('details')}\\n return display_link\",\n \"def link_view(context, request):\\n can_edit = ptah.checkPermission(ptah_cms.ModifyContent, context)\\n\\n if can_edit:\\n vform = form.DisplayForm(context, request) # needs better UI\\n vform.fields = Link.__type__.fieldset\\n vform.content = {\\n 'title': context.title,\\n 'description': context.description,\\n 'href': context.href}\\n vform.update()\\n # the below render() would display form html without enclosing layout\\n #return vform.render()\\n\\n \\\"\\\"\\\"\\n this should render the display form with layout applied\\n The layout is the \\\"wrapping HTML\\\" e.g. ptah_app layout you\\n see at http://localhost:8080/\\n \\\"\\\"\\\"\\n layout = view.queryLayout(request, context)\\n return layout(vform.render())\\n\\n raise HTTPFound(location=context.href)\",\n \"def to_projectlink(self):\\n\\n thumb_image_url = reverse('project_serve_file', args=[self.short_name,self.logo])\\n\\n args = {\\\"abreviation\\\":self.short_name,\\n \\\"title\\\":self.short_name,\\n \\\"description\\\":self.description,\\n \\\"URL\\\":reverse('comicsite.views.site', args=[self.short_name]),\\n \\\"download URL\\\":\\\"\\\",\\n \\\"submission URL\\\":self.get_submission_URL(),\\n \\\"event name\\\":self.event_name,\\n \\\"year\\\":\\\"\\\",\\n \\\"event URL\\\":self.event_url,\\n \\\"image URL\\\":self.logo,\\n \\\"thumb_image_url\\\":thumb_image_url,\\n \\\"website section\\\":\\\"active challenges\\\",\\n \\\"overview article url\\\":self.publication_url,\\n \\\"overview article journal\\\":self.publication_journal_name,\\n \\\"overview article citations\\\":\\\"\\\",\\n \\\"overview article date\\\":\\\"\\\",\\n \\\"submission deadline\\\":\\\"\\\",\\n \\\"workshop date\\\":self.workshop_date,\\n \\\"open for submission\\\":\\\"yes\\\" if self.is_open_for_submissions else \\\"no\\\",\\n \\\"data download\\\":\\\"yes\\\" if self.offers_data_download else \\\"no\\\",\\n \\\"dataset downloads\\\":self.number_of_downloads,\\n \\\"registered teams\\\":\\\"\\\",\\n \\\"submitted results\\\":self.number_of_submissions,\\n \\\"last submission date\\\":self.last_submission_date,\\n \\\"hosted on comic\\\":True,\\n \\\"created at\\\":self.created_at\\n }\\n\\n projectlink = ProjectLink(args)\\n return projectlink\",\n \"def linkified_description(self):\\n links = []\\n def linkify(matchobj, links=links):\\n if '|' in matchobj.group(1):\\n url = matchobj.group(1).split('|')\\n link = format_html('<a href=\\\"{0}\\\" target=\\\"_blank\\\">{1}</a>', url[0], url[1])\\n else:\\n link = format_html('<a href=\\\"{0}\\\" target=\\\"_blank\\\">{1}</a>', self.url, matchobj.group(1))\\n links.append(link)\\n return '{%d}' % (len(links) - 1)\\n\\n fmt = re.sub(r'\\\\[\\\\[([^\\\\]]+)\\\\]\\\\]', linkify, self.description)\\n return format_html(fmt, *links)\",\n \"def link(self, link):\\r\\n return links.Link(self, link)\",\n \"def cal_link(self):\\n return get_host() + reverse('events:detail', args=[self.id])\",\n \"def user2Link(user): \\n # could also look up mail addrs via a table lookup, etc\\n return '<a href=\\\"mailto:%(user)s@somewebsite.com\\\">%(user)s</a>' % {\\\"user\\\": user}\",\n \"def undo_format_link_segment(value):\\n\\n if json_api_settings.FORMAT_RELATED_LINKS:\\n return format_value(value, \\\"underscore\\\")\\n\\n return value\",\n \"def format_value(obj, field_name):\\n display_func = getattr(obj, 'get_%s_display' % field_name, None)\\n if display_func:\\n return display_func()\\n value = getattr(obj, field_name)\\n\\n if isinstance(value, models.fields.files.FieldFile):\\n if value:\\n return mark_safe('<a href=\\\"%s\\\">%s</a>' % (\\n value.url,\\n os.path.basename(value.name),\\n ))\\n else:\\n return ''\\n\\n if isinstance(value, models.Model):\\n return format_value_instance(value)\\n\\n if isinstance(value, models.Manager):\\n return mark_safe(', '.join(\\n [format_value_instance(instance) for instance in value.all()]\\n ))\\n if value is None:\\n value = \\\"\\\"\\n return value\",\n \"def edit_link(instance):\\n\\n try:\\n content_type = ContentType.objects.get_for_model(instance.__class__)\\n except AttributeError:\\n raise ValueError('Passed value must be registered model instance')\\n else:\\n model_admin_change_link = 'admin:{app}_{model}_change'.format(\\n app=content_type.app_label,\\n model=content_type.model\\n )\\n return reverse(model_admin_change_link, args=(instance.id,))\",\n \"def get_absolute_url(self):\\n\\t\\treturn reverse('source-detail', args=[str(self.id)])\",\n \"def _render_link(self, context, name, label, extra=''):\\n product = Product.select(self.env, where={'name' : name})\\n if product:\\n product = product[0]\\n href = context.href.products(product.prefix)\\n if 'PRODUCT_VIEW' in context.perm(product.resource):\\n return tag.a(label, class_='product', href=href + extra)\\n elif 'PRODUCT_CREATE' in context.perm('product', name):\\n return tag.a(label, class_='missing product', \\n href=context.href('products', action='new'),\\n rel='nofollow')\\n return tag.a(label, class_='missing product')\",\n \"def _format_obj(cls, **kwargs):\\n def doc_rebuilder(obj):\\n if kwargs.pop('_VOID_',False):\\n return ''\\n try:\\n doc = getattr(obj,'__doc__')\\n assert doc\\n except:\\n return ''\\n else:\\n return doc.format(**kwargs) # str(doc).format(**kwargs)\\n return doc_rebuilder\",\n \"def render(self, context):\\n try:\\n # Retrieve the object instance.\\n obj = Variable(self.obj).resolve(context)\\n except VariableDoesNotExist:\\n obj = self.obj\\n \\n try:\\n urlname = 'admin:%s_%s_change' % (\\n obj._meta.app_label, obj._meta.module_name\\n )\\n url = reverse(urlname, args=(obj.pk,))\\n except NoReverseMatch, err:\\n if settings.TEMPLATE_DEBUG:\\n print \\\"Got an exception resolving an admin url: \\\", err\\n return ''\\n \\n if self.varname:\\n context[self.varname] = url\\n else:\\n return url\",\n \"def get_absolute_url(self):\\n return reverse('model-detail-view', args=[str(self.id)])\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.73224676","0.7216829","0.7124374","0.68019325","0.65847546","0.64726907","0.64016116","0.63936055","0.6361755","0.635381","0.63412184","0.63111347","0.6248648","0.6244252","0.61723745","0.61185104","0.6079688","0.6079688","0.60349536","0.6026926","0.6017183","0.6002368","0.59222513","0.5901884","0.5883708","0.5872645","0.58527756","0.5842337","0.58284605","0.58029336","0.58029217","0.5792112","0.5787524","0.5786158","0.577088","0.57589257","0.57504374","0.5735008","0.57175756","0.57063144","0.5688553","0.56777245","0.56621176","0.5660761","0.56483155","0.56337404","0.56256706","0.5608898","0.5590851","0.558507","0.557859","0.55728716","0.5563868","0.55496395","0.55481774","0.5540833","0.5526031","0.5523063","0.55175793","0.5502691","0.5502625","0.5496755","0.5495098","0.54707795","0.54370236","0.5428369","0.54063267","0.54008967","0.54008967","0.5388686","0.5378782","0.53771055","0.5367568","0.53553843","0.5355195","0.53477806","0.5329413","0.53293824","0.5326268","0.5313031","0.5310645","0.5294537","0.5293742","0.52923715","0.5288311","0.52865934","0.5285031","0.52790004","0.5276834","0.5275771","0.5274485","0.526663","0.5265255","0.524917","0.5248437","0.5247382","0.52417517","0.52333325","0.5229363","0.52293473"],"string":"[\n \"0.73224676\",\n \"0.7216829\",\n \"0.7124374\",\n \"0.68019325\",\n \"0.65847546\",\n \"0.64726907\",\n \"0.64016116\",\n \"0.63936055\",\n \"0.6361755\",\n \"0.635381\",\n \"0.63412184\",\n \"0.63111347\",\n \"0.6248648\",\n \"0.6244252\",\n \"0.61723745\",\n \"0.61185104\",\n \"0.6079688\",\n \"0.6079688\",\n \"0.60349536\",\n \"0.6026926\",\n \"0.6017183\",\n \"0.6002368\",\n \"0.59222513\",\n \"0.5901884\",\n \"0.5883708\",\n \"0.5872645\",\n \"0.58527756\",\n \"0.5842337\",\n \"0.58284605\",\n \"0.58029336\",\n \"0.58029217\",\n \"0.5792112\",\n \"0.5787524\",\n \"0.5786158\",\n \"0.577088\",\n \"0.57589257\",\n \"0.57504374\",\n \"0.5735008\",\n \"0.57175756\",\n \"0.57063144\",\n \"0.5688553\",\n \"0.56777245\",\n \"0.56621176\",\n \"0.5660761\",\n \"0.56483155\",\n \"0.56337404\",\n \"0.56256706\",\n \"0.5608898\",\n \"0.5590851\",\n \"0.558507\",\n \"0.557859\",\n \"0.55728716\",\n \"0.5563868\",\n \"0.55496395\",\n \"0.55481774\",\n \"0.5540833\",\n \"0.5526031\",\n \"0.5523063\",\n \"0.55175793\",\n \"0.5502691\",\n \"0.5502625\",\n \"0.5496755\",\n \"0.5495098\",\n \"0.54707795\",\n \"0.54370236\",\n \"0.5428369\",\n \"0.54063267\",\n \"0.54008967\",\n \"0.54008967\",\n \"0.5388686\",\n \"0.5378782\",\n \"0.53771055\",\n \"0.5367568\",\n \"0.53553843\",\n \"0.5355195\",\n \"0.53477806\",\n \"0.5329413\",\n \"0.53293824\",\n \"0.5326268\",\n \"0.5313031\",\n \"0.5310645\",\n \"0.5294537\",\n \"0.5293742\",\n \"0.52923715\",\n \"0.5288311\",\n \"0.52865934\",\n \"0.5285031\",\n \"0.52790004\",\n \"0.5276834\",\n \"0.5275771\",\n \"0.5274485\",\n \"0.526663\",\n \"0.5265255\",\n \"0.524917\",\n \"0.5248437\",\n \"0.5247382\",\n \"0.52417517\",\n \"0.52333325\",\n \"0.5229363\",\n \"0.52293473\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.75110674"},"document_rank":{"kind":"string","value":"0"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":47,"numItemsPerPage":100,"numTotalItems":95772,"offset":4700,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3MzgyNzEyNiwic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3NzM4MzA3MjYsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.z2yXtnVrp6eKQxsPtAg_lIseEKiTl3XvL6--CSWDED824TlaFRVEaJkVfeMJPaSzFojXoYs-wMZcZQMFnhMiCg","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 |
|---|---|---|---|---|---|---|
Scans the given image for the 'ntraps' number of trap intensity peaks. Then extracts the 1dimensional gaussian profiles across the traps and returns a list of the amplitudes. | def guess_image(which_cam, image, ntraps):
threshes = [0.5, 0.65]
## Image Conditioning ##
margin = 10
threshold = np.max(image)*threshes[which_cam]
im = image.transpose()
x_len = len(im)
peak_locs = np.zeros(x_len)
peak_vals = np.zeros(x_len)
## Trap Peak Detection ##
for i in range(x_len):
if i < margin or x_len - i < margin:
peak_locs[i] = 0
peak_vals[i] = 0
else:
peak_locs[i] = np.argmax(im[i])
peak_vals[i] = max(im[i])
## Trap Range Detection ##
first = True
pos_first, pos_last = 0, 0
left_pos = 0
for i, p in enumerate(peak_vals):
if p > threshold:
left_pos = i
elif p < threshold and left_pos != 0:
if first:
pos_first = (left_pos + i) // 2
first = False
pos_last = (left_pos + i) // 2
left_pos = 0
## Separation Value ##
separation = (pos_last - pos_first) / ntraps # In Pixels
## Initial Guesses ##
means0 = np.linspace(pos_first, pos_last, ntraps).tolist()
waists0 = (separation * np.ones(ntraps) / 2).tolist()
ampls0 = (max(peak_vals) * 0.7 * np.ones(ntraps)).tolist()
_params0 = [means0, waists0, ampls0, [0.06]]
params0 = [item for sublist in _params0 for item in sublist]
xdata = np.arange(x_len)
plt.figure()
plt.plot(xdata, peak_vals)
plt.plot(xdata, wrapper_fit_func(xdata, ntraps, params0), '--r') # Initial Guess
plt.xlim((pos_first - margin, pos_last + margin))
plt.legend(["Data", "Guess", "Fit"])
plt.show(block=False) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def analyze_image(which_cam, image, ntraps, iteration=0, verbose=False):\n threshes = [0.5, 0.6]\n margin = 10\n threshold = np.max(image) * threshes[which_cam]\n im = image.transpose()\n\n x_len = len(im)\n peak_locs = np.zeros(x_len)\n peak_vals = np.zeros(x_len)\n\n ## Trap Peak Detectio... | [
"0.5896619",
"0.5877746",
"0.52297366",
"0.5136815",
"0.50773364",
"0.504893",
"0.50198776",
"0.4991051",
"0.49902415",
"0.4987427",
"0.4953718",
"0.4843196",
"0.48095766",
"0.48035288",
"0.479248",
"0.47632834",
"0.4758519",
"0.47351038",
"0.47328326",
"0.4723849",
"0.470226... | 0.52466863 | 2 |
Scans the given image for the 'ntraps' number of trap intensity peaks. Then extracts the 1dimensional gaussian profiles across the traps and returns a list of the amplitudes. | def analyze_image(which_cam, image, ntraps, iteration=0, verbose=False):
threshes = [0.5, 0.6]
margin = 10
threshold = np.max(image) * threshes[which_cam]
im = image.transpose()
x_len = len(im)
peak_locs = np.zeros(x_len)
peak_vals = np.zeros(x_len)
## Trap Peak Detection ##
for i in range(x_len):
if i < margin or x_len - i < margin:
peak_locs[i] = 0
peak_vals[i] = 0
else:
peak_locs[i] = np.argmax(im[i])
peak_vals[i] = max(im[i])
## Trap Range Detection ##
first = True
pos_first, pos_last = 0, 0
left_pos = 0
for i, p in enumerate(peak_vals):
if p > threshold:
left_pos = i
elif left_pos != 0:
if first:
pos_first = (left_pos + i) // 2
first = False
pos_last = (left_pos + i) // 2
left_pos = 0
## Separation Value ##
separation = (pos_last - pos_first) / ntraps # In Pixels
## Initial Guesses ##
means0 = np.linspace(pos_first, pos_last, ntraps).tolist()
waists0 = (separation * np.ones(ntraps) / 2).tolist()
ampls0 = (max(peak_vals) * 0.7 * np.ones(ntraps)).tolist()
_params0 = [means0, waists0, ampls0, [0.06]]
params0 = [item for sublist in _params0 for item in sublist]
## Fitting ##
if verbose:
print("Fitting...")
xdata = np.arange(x_len)
popt, pcov = curve_fit(lambda x, *params_0: wrapper_fit_func(x, ntraps, params_0),
xdata, peak_vals, p0=params0)
if verbose:
print("Fit!")
plt.figure()
plt.plot(xdata, peak_vals) # Data
if iteration:
plt.plot(xdata, wrapper_fit_func(xdata, ntraps, params0), '--r') # Initial Guess
plt.plot(xdata, wrapper_fit_func(xdata, ntraps, popt)) # Fit
plt.title("Iteration: %d" % iteration)
else:
plt.title("Final Product")
plt.xlim((pos_first - margin, pos_last + margin))
plt.legend(["Data", "Guess", "Fit"])
plt.show(block=False)
print("Fig_Newton")
trap_powers = np.frombuffer(popt[2 * ntraps:3 * ntraps])
return trap_powers | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def trapfilt_taps(N, phil, alfa):\n\n\n\n tt = arange(-N/2,N/2 + 1) # Time axis for h(t) \n # ***** Generate impulse response ht here *****\n ht = zeros(len(tt))\n ix = where(tt != 0)[0]\n if alfa != 0:\n ht[ix] = ((sin(2*pi*phil*tt[ix]))/(pi*tt[ix]))*((s... | [
"0.587632",
"0.52485836",
"0.5228704",
"0.5138485",
"0.5076651",
"0.50504184",
"0.5020896",
"0.49921283",
"0.49873865",
"0.4987357",
"0.49527085",
"0.48427442",
"0.48109403",
"0.4805407",
"0.47939897",
"0.47633266",
"0.47571003",
"0.47376722",
"0.47331765",
"0.47273827",
"0.4... | 0.5898754 | 0 |
Given the opened camera object and the Slider object connected to the camera's exposure, adjusts the exposure to just below clipping. Binary Search | def fix_exposure(cam, slider, verbose=False):
margin = 10
exp_t = MAX_EXP / 2
cam._set_exposure(exp_t * u.milliseconds)
time.sleep(0.5)
print("Fetching Frame")
im = cam.latest_frame()
x_len = len(im)
right, left = MAX_EXP, 0
inc = right / 10
for _ in range(10):
## Determine if Clipping or Low-Exposure ##
gap = 255
for i in range(x_len):
if i < margin or x_len - i < margin:
continue
else:
gap = min(255 - max(im[i]), gap)
## Make Appropriate Adjustment ##
if gap == 0:
if verbose:
print("Clipping at: ", exp_t)
right = exp_t
elif gap > 50:
if verbose:
print("Closing gap: ", gap, " w/ exposure: ", exp_t)
left = exp_t
else:
if verbose:
print("Final Exposure: ", exp_t)
return
if inc < 0.01:
exp_t -= inc if gap == 0 else -inc
else:
exp_t = (right + left) / 2
inc = (right - left) / 10
slider.set_val(exp_t)
time.sleep(1)
im = cam.latest_frame() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_exposure(self, expo):\n if expo == 0:\n self.exposure = 0\n elif expo == 1:\n self.exposure = min(9, self.exposure+1)\n elif expo == -1:\n self.exposure = max(-9, self.exposure-1)\n self.drone.set_exposure(self.exposure)\n log.info(f\"EXPO... | [
"0.59731835",
"0.5947797",
"0.5704381",
"0.5572308",
"0.5527399",
"0.54456806",
"0.54195607",
"0.5414224",
"0.5396532",
"0.53867406",
"0.5374971",
"0.5353075",
"0.52843153",
"0.52828944",
"0.52818215",
"0.52474177",
"0.5239085",
"0.5233961",
"0.52310765",
"0.52299416",
"0.522... | 0.71824807 | 0 |
We specify the FNN based networks over here. A single network produce both s and t parts. Coupling Layer currently comprises of 1 full transform but this can be made more complex. | def coupling_layer_specifications(hyper_params):
D = hyper_params['data_dim']
H = hyper_params['rnvp_num_hidden_units']
d_1 = np.int(D//2) if D%2 == 0 else np.int(D//2) + 1
d_2 = np.int(D - d_1)
assert(d_1 + d_2 == D)
coupling_layer_sizes = []
coupling_layer_sizes.append([d_1, H, H, 2*d_2])
coupling_layer_sizes.append([d_2, H, H, 2*d_1])
return coupling_layer_sizes | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, channel):\n super(CoarseFineFlownet, self).__init__()\n in_c = channel * 2\n conv1 = nn.Sequential(nn.Conv2d(in_c, 24, 5, 2, 2), nn.ReLU(True))\n conv2 = nn.Sequential(nn.Conv2d(24, 24, 3, 1, 1), nn.ReLU(True))\n conv3 = nn.Sequential(nn.Conv2d(24, 24, 5, 2, 2)... | [
"0.68114513",
"0.6745461",
"0.67398894",
"0.67094636",
"0.6685526",
"0.6679833",
"0.66453695",
"0.6631616",
"0.65937024",
"0.65893584",
"0.65746665",
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"0.6550034",
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"0.65442574",
"0.6542558",
"0.65119946",
"0.64806116",
"0.64779437",
"0.64562774",
"0.6... | 0.0 | -1 |
draw all beads in 3D | def draw_beads_3d(ax,beads):
nslice,nptcl,ndim = beads.shape
com = beads.mean(axis=0) # center of mass of each particle, used to label the particles only
ptcls = []
for iptcl in range(nptcl):
mypos = beads[:,iptcl,:] # all time slices for particle iptcl
pos = np.insert(mypos,0,mypos[-1],axis=0) # close beads
line = ax.plot(pos[:,0],pos[:,1],pos[:,2],marker='o') # draw particle
text = ax.text(com[iptcl,0],com[iptcl,1],com[iptcl,2],'ptcl %d' % iptcl,fontsize=20) # label particle
ptcls.append( (line,text) )
return ptcls | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def render_wireframe_3d(self, **kwds):\n wireframe = [];\n for l in self.lines:\n l_coords = self.coordinates_of(l)\n wireframe.append( line3d(l_coords, **kwds))\n for a in self.arrows:\n a_coords = self.coordinates_of(a)\n wireframe.append(arrow3d(a... | [
"0.67704284",
"0.6621511",
"0.6335428",
"0.62092894",
"0.612173",
"0.6121571",
"0.6106901",
"0.60958236",
"0.6095626",
"0.6073754",
"0.60695255",
"0.60470665",
"0.6022389",
"0.60214126",
"0.6004602",
"0.5997901",
"0.5991583",
"0.5977998",
"0.59440416",
"0.59368646",
"0.593158... | 0.6539542 | 2 |
thermodynmic estimator of the kinetic energy | def thermodynamic_kinetic(paths,lam,tau):
nslice,nptcl,ndim,nconf = paths.shape
ke = ndim*nptcl/2./tau * np.ones(nconf)
for islice in range(nslice):
r2_arr = (paths[islice]-paths[(islice+1)%nslice])**2. # (nptcl,ndim,nconf)
r2 = r2_arr.sum(axis=0).sum(axis=0) # (nconf,)
ke -= r2/(4.*lam*tau**2.)/nslice
return ke | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def price_heston_mc(kappa_,theta_,sigma_,rho_,r_,T_,L_,V0_,S0_,K0_,N_):\r\n esp_ = monte_carlo(kappa_,theta_,sigma_,rho_,r_,T_,L_,V0_,S0_,K0_,N_)\r\n return exp(-r_*T_)*esp_",
"def kineticEnergy(self):\n return self.params['kinetic']",
"def energyK(k):\r\n C1 = 9.7846113e-07\r\n C2 = 12.2638... | [
"0.685864",
"0.6753086",
"0.66774917",
"0.65416646",
"0.64236945",
"0.6406966",
"0.6316658",
"0.6298241",
"0.6277267",
"0.6244753",
"0.62259036",
"0.62029636",
"0.61880386",
"0.61798847",
"0.6175505",
"0.6172549",
"0.6145199",
"0.6102385",
"0.6071389",
"0.6060328",
"0.6001661... | 0.6054048 | 20 |
Fetches prediction field from prediction byte array. After TensorRT inference, prediction data is saved in byte array and returned by object detection network. This byte array contains several pieces of data about prediction we call one such piece a prediction field. The prediction fields layout is described in TRT_PREDICTION_LAYOUT. This function, given prediction byte array returned by network, staring index of given prediction and field name of interest, returns prediction field data corresponding to given arguments. | def fetch_prediction_field(field_name, detection_out, pred_start_idx):
return detection_out[pred_start_idx + TRT_PREDICTION_LAYOUT[field_name]] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_predict(path=MODEL_PATH, version=VERSION, namePredictor=DEFAULT_PREDICTOR):\n logging.info(\"trying to load {}\".format(path + namePredictor + version + '.npz'))\n return np.load(path + namePredictor + version + '.npz')['pred']",
"async def predict(params: predict_text):\n tweet = params.text\n... | [
"0.55769396",
"0.5293517",
"0.52770144",
"0.5273354",
"0.5251776",
"0.52444863",
"0.522911",
"0.51298296",
"0.507966",
"0.5062503",
"0.50453293",
"0.5021716",
"0.5021298",
"0.5006652",
"0.5005181",
"0.50023496",
"0.49902007",
"0.49683675",
"0.4965189",
"0.4964087",
"0.4936551... | 0.7810624 | 0 |
Parses command line arguments and adjusts internal data structures. | def parse_commandline_arguments():
# Define script command line arguments
parser = argparse.ArgumentParser(description='Run object detection inference on input image.')
parser.add_argument('input_img_path', metavar='INPUT_IMG_PATH',
help='an image file to run inference on')
parser.add_argument('-p', '--precision', type=int, choices=[32, 16], default=32,
help='desired TensorRT float precision to build an engine with')
parser.add_argument('-b', '--max_batch_size', type=int, default=1,
help='max TensorRT engine batch size')
parser.add_argument('-w', '--workspace_dir',
help='sample workspace directory')
parser.add_argument('-fc', '--flatten_concat',
help='path of built FlattenConcat plugin')
# Parse arguments passed
args = parser.parse_args()
# Set FlattenConcat TRT plugin path and
# workspace dir path if passed by user
if args.flatten_concat:
PATHS.set_flatten_concat_plugin_path(args.flatten_concat)
if args.workspace_dir:
PATHS.set_workspace_dir_path(args.workspace_dir)
if not os.path.exists(PATHS.get_workspace_dir_path()):
os.makedirs(PATHS.get_workspace_dir_path())
# Verify Paths after adjustments. This also exits script if verification fails
PATHS.verify_all_paths()
# Fetch TensorRT engine path and datatype
trt_engine_datatype = TRT_PRECISION_TO_DATATYPE[args.precision]
trt_engine_path = PATHS.get_engine_path(trt_engine_datatype,
args.max_batch_size)
if not os.path.exists(os.path.dirname(trt_engine_path)):
os.makedirs(os.path.dirname(trt_engine_path))
parsed = {
'input_img_path': args.input_img_path,
'max_batch_size': args.max_batch_size,
'trt_engine_datatype': trt_engine_datatype,
'trt_engine_path': trt_engine_path
}
return parsed | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_arguments(self):\n \n for arg in sys.argv[1:]:\n (key, sep, value) = arg.partition(\"=\")\n if sep != \"=\":\n raise ProcessorError(\"Illegal argument '%s'\" % arg)\n self.update_data(key, value)",
"def parse_arguments(args):",
"def __pars... | [
"0.7812506",
"0.7636276",
"0.7270536",
"0.720011",
"0.71367455",
"0.712731",
"0.6990735",
"0.6976223",
"0.69415474",
"0.6897431",
"0.6839291",
"0.68086874",
"0.67994547",
"0.67840666",
"0.6775619",
"0.67488694",
"0.6741559",
"0.6727123",
"0.67215323",
"0.67038643",
"0.6699622... | 0.0 | -1 |
Check if directories on the path, and create them if not. | def check_dir(path):
if not os.path.exists(path):
os.makedirs(path) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _check_path(path):\n os.system(\"if [ ! -d \" + path + \" ]; then mkdir -p \" + path + \"; fi\")",
"def _check_dirs(self):\r\n for dir in [self.papers_dir,\r\n self.buffer_dir]:\r\n if not os.path.exists(dir):\r\n message = f'Dir not exists: {dir}. M... | [
"0.7897075",
"0.78796077",
"0.7873436",
"0.7844147",
"0.7843228",
"0.78394854",
"0.7821767",
"0.7799039",
"0.77543813",
"0.77469003",
"0.77352756",
"0.7700688",
"0.7690964",
"0.7684836",
"0.7626432",
"0.75970924",
"0.7586215",
"0.75739735",
"0.75739735",
"0.75736177",
"0.7571... | 0.78439754 | 4 |
Get a dictionary with the important tags for DAGMC geometries inputs | def get_dagmc_tags(my_core):
dagmc_tags = {}
dagmc_tags['geom_dim'] = my_core.tag_get_handle('GEOM_DIMENSION', size=1, tag_type=types.MB_TYPE_INTEGER,
storage_type=types.MB_TAG_SPARSE, create_if_missing=True) # geometric dimension
dagmc_tags['category'] = my_core.tag_get_handle('CATEGORY', size=32, tag_type=types.MB_TYPE_OPAQUE,
storage_type=types.MB_TAG_SPARSE, create_if_missing=True) # the category
dagmc_tags['global_id'] = my_core.tag_get_handle('GLOBAL_ID', size=1, tag_type=types.MB_TYPE_INTEGER,
storage_type=types.MB_TAG_SPARSE, create_if_missing=True) # id
return dagmc_tags | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getTag(self, inputs, tag):\n result = {}\n for into in inputs:\n for i in into:\n if i in self.sim.agents:\n agentTags = self.sim.agents[i].access[\"tags\"]\n if tag in agentTags:\n result[i] = agentTags[tag]\n... | [
"0.6049964",
"0.5798417",
"0.5783547",
"0.56233895",
"0.56191564",
"0.5531968",
"0.54956996",
"0.5407354",
"0.54043907",
"0.5376861",
"0.5376861",
"0.53438914",
"0.53383356",
"0.5330779",
"0.5323087",
"0.5323087",
"0.5323087",
"0.5323087",
"0.5323087",
"0.5323087",
"0.5323087... | 0.6765775 | 0 |
Get a dictionary with MOAB ranges for each of the requested entity types inputs | def get_native_ranges(my_core, meshset, entity_types):
native_ranges = {}
for entity_type in entity_types:
native_ranges[entity_type] = my_core.get_entities_by_type(
meshset, entity_type)
return native_ranges | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_entityset_ranges(my_core, meshset, geom_dim):\n\n entityset_ranges = {}\n entityset_types = ['Nodes', 'Curves', 'Surfaces', 'Volumes']\n for dimension, set_type in enumerate(entityset_types):\n entityset_ranges[set_type] = my_core.get_entities_by_type_and_tag(meshset, types.MBENTITYSET, geo... | [
"0.65154475",
"0.600458",
"0.5998008",
"0.5853334",
"0.5807972",
"0.5797119",
"0.562755",
"0.562755",
"0.55852807",
"0.55669194",
"0.5557111",
"0.5455386",
"0.54513985",
"0.5441645",
"0.53997433",
"0.53997433",
"0.5393903",
"0.5376995",
"0.5375735",
"0.53752905",
"0.5361025",... | 0.6155824 | 1 |
Get a dictionary with MOAB Ranges that are specific to the types.MBENTITYSET type inputs | def get_entityset_ranges(my_core, meshset, geom_dim):
entityset_ranges = {}
entityset_types = ['Nodes', 'Curves', 'Surfaces', 'Volumes']
for dimension, set_type in enumerate(entityset_types):
entityset_ranges[set_type] = my_core.get_entities_by_type_and_tag(meshset, types.MBENTITYSET, geom_dim,
[dimension])
return entityset_ranges | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getRangeMM(self) -> float:\n ...",
"def range_dic_(df_):\n range_dic = {}\n for man in df_['maneuver']:\n trial_indx = df_.index[df_['maneuver'] == man].tolist()\n range_ = (min(trial_indx), max(trial_indx))\n range_dic.update({man: range_})\n return range_dic",
"def ra... | [
"0.59818125",
"0.5639009",
"0.5639009",
"0.5624772",
"0.5565236",
"0.5513016",
"0.5494546",
"0.5442198",
"0.54400784",
"0.5380527",
"0.5366019",
"0.5358748",
"0.5318177",
"0.5313223",
"0.52917475",
"0.5266361",
"0.5262664",
"0.5223182",
"0.5186198",
"0.517666",
"0.5118012",
... | 0.6958238 | 0 |
This function will return data about the number of triangles on each vertex in a file inputs | def get_triangles_per_vertex(my_core, native_ranges):
t_p_v_data = []
tri_dimension = 2
for vertex in native_ranges[types.MBVERTEX]:
t_p_v_data.append(my_core.get_adjacencies(vertex, tri_dimension).size())
return np.array(t_p_v_data) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def count_triangles(self, file):\n self.nibble(80)\n return struct.unpack(\"@i\", self.nibble(4))[0]",
"def get_num_vertices(triangles):\n return numpy.amax(numpy.reshape(triangles, -1)) + 1",
"def count_cells(fpath):\n cells = []\n for i in range(40):\n fname = f\"{fpath}/Mesh2d_... | [
"0.7772032",
"0.68836695",
"0.6398507",
"0.6369426",
"0.6362666",
"0.6353974",
"0.6323438",
"0.6275137",
"0.6170703",
"0.6165812",
"0.6144632",
"0.613628",
"0.61066425",
"0.6011404",
"0.59843576",
"0.59520715",
"0.5947087",
"0.594126",
"0.5935394",
"0.59270984",
"0.59270984",... | 0.64086694 | 2 |
This function will return data about the number of triangles on each surface in a file inputs | def get_triangles_per_surface(my_core, entity_ranges):
t_p_s = {}
for surface in entity_ranges['Surfaces']:
t_p_s[surface] = my_core.get_entities_by_type(
surface, types.MBTRI).size()
return t_p_s | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def count_triangles(self, file):\n self.nibble(80)\n return struct.unpack(\"@i\", self.nibble(4))[0]",
"def get_num_vertices(triangles):\n return numpy.amax(numpy.reshape(triangles, -1)) + 1",
"def count_cells(fpath):\n cells = []\n for i in range(40):\n fname = f\"{fpath}/Mesh2d_... | [
"0.78216827",
"0.65307426",
"0.64875203",
"0.6224915",
"0.6100354",
"0.60187995",
"0.59512895",
"0.5924314",
"0.59203315",
"0.5906817",
"0.59059787",
"0.5882943",
"0.5867339",
"0.585497",
"0.58549577",
"0.5812365",
"0.57997227",
"0.57795846",
"0.57746047",
"0.57551175",
"0.57... | 0.6084134 | 5 |
Get the number of surfaces that each volume in a given file contains inputs | def get_surfaces_per_volume(my_core, entityset_ranges):
s_p_v = {}
for volumeset in entityset_ranges['Volumes']:
s_p_v[volumeset] = my_core.get_child_meshsets(volumeset).size()
return s_p_v | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def countsubcatchments(inputfilename=FileSettings.settingsdict['inputfilename']):\r\n global count\r\n with open(inputfilename, 'r') as swmmput:\r\n contents = swmmput.readlines()\r\n count = len(contents)\r\n return(count)",
"def count_triangles(self, file):\n self.nibble(80)\n ... | [
"0.62458247",
"0.6179542",
"0.61321104",
"0.59735066",
"0.5963068",
"0.5940635",
"0.5933851",
"0.58621955",
"0.5853695",
"0.58389825",
"0.5696593",
"0.569234",
"0.56829655",
"0.5678511",
"0.56699306",
"0.5660936",
"0.5654335",
"0.5653217",
"0.5644729",
"0.56445545",
"0.562478... | 0.613363 | 2 |
Get triangles of a volume if geom_dim is 3 Get triangles of a surface if geom_dim is 2 Else get all the triangles inputs | def get_tris(my_core, meshset, geom_dim):
# get triangles of a volume
if my_core.tag_get_data(geom_dim, meshset)[0][0] == 3:
entities = my_core.create_meshset()
for surface in my_core.get_child_meshsets(meshset):
my_core.add_entities(entities, my_core.get_entities_by_type(surface, types.MBTRI))
tris = my_core.get_entities_by_type(entities, types.MBTRI)
# get triangles of a surface
elif my_core.tag_get_data(geom_dim, meshset)[0][0] == 2:
entities = my_core.create_meshset()
my_core.add_entities(entities, my_core.get_entities_by_type(meshset, types.MBTRI))
tris = my_core.get_entities_by_type(entities, types.MBTRI)
else:
# get all the triangles
tris = my_core.get_entities_by_type(meshset, types.MBTRI)
return tris | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def split_triangles(mesh):\n triangles = np.asarray(mesh.triangles).copy()\n vertices = np.asarray(mesh.vertices).copy()\n\n triangles_3 = np.zeros_like(triangles)\n vertices_3 = np.zeros((len(triangles) * 3, 3), dtype=vertices.dtype)\n\n for index_triangle, t in enumerate(triangles):\n index... | [
"0.6223683",
"0.6053743",
"0.6050365",
"0.57075876",
"0.5699507",
"0.56639516",
"0.563397",
"0.56318665",
"0.56237847",
"0.5588242",
"0.55818903",
"0.54913247",
"0.5476087",
"0.5466476",
"0.5459577",
"0.54140794",
"0.53891593",
"0.5373516",
"0.53725284",
"0.5370129",
"0.53510... | 0.5960203 | 3 |
Get side lengths of triangle inputs | def get_tri_side_length(my_core, tri):
side_lengths = []
s = 0
coord_list = []
verts = list(my_core.get_adjacencies(tri, 0))
for vert in verts:
coords = my_core.get_coords(vert)
coord_list.append(coords)
for side in range(3):
side_lengths.append(np.linalg.norm(coord_list[side]-coord_list[side-2]))
# The indices of coord_list includes the "-2" because this way each side will be matched up with both
# other sides of the triangle (IDs: (Side 0, Side 1), (Side 1, Side 2), (Side 2, Side 0))
return side_lengths | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def calc_side_lengths(triangles):\n first_vec = [2, 0, 1]\n second_vec = [1, 2, 0]\n sides = triangles[:, first_vec] - triangles[:, second_vec]\n lengths = np.sqrt(np.sum(sides**2, axis=2))\n return lengths",
"def get_edge_lengths(points: np.ndarray, triangles: np.ndarray) -> np.ndarray:\n edge... | [
"0.80329156",
"0.73527324",
"0.6605369",
"0.6578953",
"0.653027",
"0.6457566",
"0.6410448",
"0.6380816",
"0.6373851",
"0.634458",
"0.63425255",
"0.62799424",
"0.62611526",
"0.62526083",
"0.6235124",
"0.6221507",
"0.62141633",
"0.61444443",
"0.6128147",
"0.61095893",
"0.610488... | 0.7491572 | 1 |
Get the coarseness of area. Coarseness is calculated by dividing surface area of a surface by number of triangles in that surface. inputs | def get_coarseness(my_core, meshset, entity_ranges, geom_dim):
coarseness = []
for surface in entity_ranges:
surf_area = get_area_triangle(my_core, surface, geom_dim)
coarseness.append(len(surf_area)/sum(surf_area))
return coarseness | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def compute_surface_area(self):\n return np.sum(self._find_triangle_areas())",
"def compute_area(self):\r\n\r\n \"\"\"Косое произведение векторов\r\n A = (x2-x1; y2-y1; z2-z1)\r\n B = (x3-x1; y3-y1; z3-z1)\r\n S = 0.5*sqrt((Ay*Bz - Az*By)^2 + (Az*Bx - Ax*Bz)^2 + (Ax*By - Ay*Bx)... | [
"0.72606695",
"0.69087756",
"0.6878328",
"0.6759182",
"0.66357255",
"0.662495",
"0.6603431",
"0.6533843",
"0.65235794",
"0.6498596",
"0.64894485",
"0.643404",
"0.64310247",
"0.63980806",
"0.63846767",
"0.6348388",
"0.6340205",
"0.63149506",
"0.62920696",
"0.62676907",
"0.6259... | 0.6548548 | 7 |
Cleans the line from geometrical shape characters and replaces these with space. | def clean_text_from_geometrical_shape_unicode(line):
line = re.sub(r"([\u25A0-\u25FF])", " ", line)
return line | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clean(line):\n line = line.strip('\\n').strip()\n line = line.replace('\\xe2\\x80\\x93', '-')\n line = line.replace('\\xe2\\x80\\x99', '\\'')\n\n return line",
"def clean(line):\n line = line.lower().replace(\"\\n\",\" \").replace(\"\\r\",\"\").replace(',',\"\").replace(\">\",\"> \").replace(\... | [
"0.6750238",
"0.6354936",
"0.60908276",
"0.60867965",
"0.6052043",
"0.5917007",
"0.58838075",
"0.58618855",
"0.5852398",
"0.58450764",
"0.5843433",
"0.584121",
"0.5809004",
"0.5809004",
"0.5773769",
"0.5744268",
"0.573116",
"0.57237",
"0.56972486",
"0.5695229",
"0.5684892",
... | 0.8284751 | 1 |
Cleans the line from private unicode characters and replaces these with space. | def clean_text_from_private_unicode(line):
line = re.sub(r"([\uE000-\uF8FF]|\uD83C[\uDF00-\uDFFF]|\uD83D[\uDC00-\uDDFF])", " ", line)
return line | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clean_text_from_geometrical_shape_unicode(line):\n line = re.sub(r\"([\\u25A0-\\u25FF])\", \" \", line)\n return line",
"def clean_text_from_geometrical_shape_unicode(line):\n line = re.sub(r\"([\\u25A0-\\u25FF])\", \" \", line)\n return line",
"def RemoveNonUtf8BadChars(line):\n return \"\"... | [
"0.6923628",
"0.6923628",
"0.6871189",
"0.68013835",
"0.6612186",
"0.6590212",
"0.643773",
"0.6276485",
"0.6224105",
"0.6136164",
"0.60882586",
"0.6054826",
"0.6043292",
"0.60300654",
"0.6018717",
"0.6001594",
"0.5968716",
"0.59620196",
"0.59620196",
"0.5959176",
"0.593358",
... | 0.8404962 | 1 |
Clears the text from latin supplement unicodes. | def clean_text_from_latin_supplement_unicode(text):
return re.sub(r"([\u0080-\u00FF])", " ", text) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def removeNonAsciiFromText(self, text):\n\t\treturn ''.join([i if ord(i) < 128 else '' for i in text])",
"def remove_unicode(text):\n regex = r\"(\\\\u....)\"\n text = re.sub(regex, ' ', text)\n return text",
"def removeUnicode(text):\n text = re.sub(r'(\\\\u[0-9A-Fa-f]+)',r'', text) \n te... | [
"0.69256425",
"0.6896335",
"0.68667537",
"0.67069024",
"0.66337216",
"0.65545833",
"0.6554385",
"0.6529281",
"0.6484313",
"0.6460039",
"0.6445077",
"0.64252377",
"0.64120406",
"0.6407746",
"0.6383768",
"0.6383287",
"0.6367802",
"0.6363216",
"0.6355911",
"0.631609",
"0.6307571... | 0.6754026 | 4 |
Clears the text from general punctuation unicodes | def clean_text_from_general_punctuation_unicode(text):
return re.sub(r"([\u2000-\u206F])", " ", text) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def remove_punct(self,text):",
"def clear_punctuation(document):\n return re.sub(r'\\D', '', str(document))",
"def remove_punctuation(self, text):\n punct = string.punctuation\n trantab = str.maketrans(punct, len(punct) * ' ')\n return text.translate(trantab)",
"def remove_punctuation... | [
"0.8042368",
"0.7765066",
"0.7309863",
"0.729243",
"0.72679365",
"0.7266738",
"0.7264455",
"0.72357666",
"0.7194123",
"0.719088",
"0.7137011",
"0.7126668",
"0.7068454",
"0.7044288",
"0.7034183",
"0.70212454",
"0.70147127",
"0.6998983",
"0.6979322",
"0.69668394",
"0.6941041",
... | 0.7302177 | 4 |
Clear the text from any characters that would prevent matching words with regex. These include special punctuations, bullet points, new lines etc. | def clean_text_from_nonbasic_characters(text):
text = re.sub(r"([^\u0000-\u007F])", " ", text)
text = replace_newline_with_space(text).strip()
text = text.replace("_", "")
text = clean_text_from_multiple_consecutive_whitespaces(text)
return text | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def CLEAN(text):\n return _control_char_re.sub('', text)",
"def removeSpecialChars(self) -> None:\n self.text = re.sub('[^a-zA-z0-9\\n\\.\\s]', '', self.text)",
"def remove_non_alphabetic_text(text):\n return RegexFilters.replace_non_alphabetic_text(text, \"\")",
"def remove_punctations_fun(se... | [
"0.788221",
"0.77547354",
"0.76948416",
"0.7690904",
"0.76164234",
"0.76150995",
"0.76150995",
"0.76150995",
"0.76150995",
"0.76150995",
"0.76150995",
"0.75909275",
"0.7558085",
"0.7538756",
"0.75204813",
"0.75020224",
"0.74994344",
"0.7429214",
"0.73992103",
"0.73870385",
"0... | 0.72454876 | 29 |
returns a scikitlearn style model/pipeline | def get_model(name):
try:
from .model_defs import get_model_from_def
model = get_model_from_def(name)
logger.info("Model {n} loaded from model_defs module".format(n=name))
except NameError:
try:
model = get_model_from_yaml(name)
logger.info("Model {n} loaded from yaml".format(n=name))
except KeyError:
try:
from .model_defs import parse_model_name
model = parse_model_name(name)
logger.info("Model {n} parsed from name".format(n=name))
except NameError:
sys.exit("Unknown model {n}".format(n=name))
if not hasattr(model, 'name'):
model.name = name
return model | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def make_pipeline():\n universe = TradableStocksUS('Real Estate') | TradableStocksUS('Utilities') | \\\n TradableStocksUS('Consumer Staples') | TradableStocksUS('Technology') | \\\n TradableStocksUS('Financials') | TradableStocksUS('Energy') | ... | [
"0.62133336",
"0.619528",
"0.6192642",
"0.6129727",
"0.60924697",
"0.60888034",
"0.60504484",
"0.59715533",
"0.59501135",
"0.5866584",
"0.58635634",
"0.5856176",
"0.57757",
"0.5774506",
"0.5752574",
"0.5752574",
"0.5741443",
"0.5726265",
"0.5723943",
"0.5714648",
"0.57145613"... | 0.0 | -1 |
return a model as defines in model_search.yaml | def get_model_from_yaml(name):
filename = pkg_resources.resource_filename('empirical_lsm', 'data/model_search.yaml')
with open(filename) as f:
model_dict = yaml.load(f)[name]
return get_model_from_dict(model_dict) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_model(model=gin.REQUIRED):\n return model",
"def get_model(*args):\n return Model()",
"def get_model(model):\n all_models = cmd.get_object_list()\n\n if len(all_models) == 0:\n logging.parser_error('No models are opened.')\n return\n\n model = model.lower()\n\n if mode... | [
"0.72097623",
"0.6948634",
"0.67616165",
"0.67475533",
"0.66909075",
"0.66902417",
"0.66678",
"0.6573517",
"0.65641904",
"0.65121186",
"0.651177",
"0.6477959",
"0.6459214",
"0.6455929",
"0.64499646",
"0.6413741",
"0.6407674",
"0.64009804",
"0.6380913",
"0.6357358",
"0.6337721... | 0.6980467 | 1 |
Return a sklearn model pipeline from a model_dict | def get_model_from_dict(model_dict):
pipe_list = []
if 'transforms' in model_dict:
# For basic scikit-learn transforms
transforms = model_dict['transforms'].copy()
if 'scaler' in transforms:
scaler = transforms.pop('scaler')
pipe_list.append(get_scaler(scaler))
if 'pca' in transforms:
transforms.pop('pca')
pipe_list.append(get_pca())
if 'poly' in transforms:
args = transforms.pop('poly')
pipe_list.append(get_poly(args))
if len(transforms) > 0:
raise Exception("unknown transforms: %s" % repr(transforms))
if 'args' in model_dict:
model = get_model_class(model_dict['class'], model_dict['args'])
else:
model = get_model_class(model_dict['class'])
if 'clusterregression' in model_dict:
from empirical_lsm.clusterregression import ModelByCluster
clusterer = model_dict['clusterregression']['class']
cluster_args = model_dict['clusterregression']['args']
model = ModelByCluster(
get_clusterer(clusterer, cluster_args),
model)
pipe_list.append(model)
pipe = make_pipeline(*pipe_list)
if 'lag' in model_dict:
params = model_dict['lag']
pipe = get_lagger(pipe, params)
elif 'markov' in model_dict:
params = model_dict['markov']
pipe = get_markov_wrapper(pipe, params)
if 'forcing_vars' in model_dict:
pipe.forcing_vars = model_dict['forcing_vars']
else:
logger.warning("Warning: no forcing vars, using defaults (all)")
pipe.forcing_vars = get_config(['vars', 'met'])
if 'description' in model_dict:
pipe.description = model_dict['description']
return pipe | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def make_pipeline(model):\n\n steps = [\n (\"imp\", SimpleImputer(strategy=\"most_frequent\")),\n (\"norm\", MinMaxScaler()),\n (\"reg\", model)\n ]\n pipeline = Pipeline(steps=steps)\n\n return pipeline",
"def build_model():\n # Build ML pipeline using random forest classifie... | [
"0.6688918",
"0.64640874",
"0.64640874",
"0.6416069",
"0.6381701",
"0.636211",
"0.6302781",
"0.62598276",
"0.62242967",
"0.6168712",
"0.6149896",
"0.6133813",
"0.6130566",
"0.61174124",
"0.6096542",
"0.6070486",
"0.6065497",
"0.60585046",
"0.6046623",
"0.6042597",
"0.603112",... | 0.771603 | 0 |
Return a Lag wrapper for a pipeline. | def get_lagger(pipe, kwargs):
from .transforms import LagWrapper
return LagWrapper(pipe, **kwargs) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def pipeline(self) -> Pipeline:\n if self._to_pipeline is None:\n raise AttributeError(\n \"pipeline not available because `to_pipeline` was not set on __init__.\"\n )\n return self._to_pipeline(self)",
"def get_pipeline(tag=None):\n\n\n data_science_pipeline... | [
"0.614468",
"0.5957362",
"0.59200114",
"0.58368886",
"0.5657546",
"0.54006594",
"0.53980225",
"0.53207415",
"0.53056926",
"0.53035724",
"0.5302075",
"0.52976626",
"0.5268746",
"0.52655923",
"0.5263156",
"0.52361935",
"0.52361935",
"0.52285284",
"0.52276915",
"0.5182775",
"0.5... | 0.8226096 | 0 |
Return a markov wrapper for a pipeline. | def get_markov_wrapper(pipe, kwargs):
from .transforms import MarkovWrapper
return MarkovWrapper(pipe, **kwargs) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build_own_pipeline() -> Pipeline:\n clf = svm.LinearSVC(C=2, loss='hinge')\n vect = TfidfVectorizer(ngram_range=(1, 2))\n\n pipeline = None\n ##### Write code here #######\n pipeline = Pipeline([\n ('vect', vect),\n ('tfidf', TfidfTransformer()),\n ('clf', clf)\n ])\n ... | [
"0.6571192",
"0.6444065",
"0.6408322",
"0.60807306",
"0.6047931",
"0.5914984",
"0.59031147",
"0.58204484",
"0.5804149",
"0.5747107",
"0.5725643",
"0.5704614",
"0.5703797",
"0.56960964",
"0.56624687",
"0.56623226",
"0.5654284",
"0.562496",
"0.5591383",
"0.55484897",
"0.5527152... | 0.83327645 | 0 |
Return a scikitlearn clusterer from name and args. | def get_clusterer(name, kwargs):
if name == 'KMeans':
from sklearn.cluster import KMeans
return KMeans(**kwargs)
if name == 'MiniBatchKMeans':
from sklearn.cluster import MiniBatchKMeans
return MiniBatchKMeans(**kwargs) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def show_cluster(name: str) -> Cluster:\n environment = EnvironmentProvider().environment\n return environment.clusters[name]",
"def create_marker_cluster(name: str):\n return MarkerCluster(name=name)",
"def launch_example_cluster_cmd(*args, **kwargs):\n return launch_example_cluster(*args, **k... | [
"0.5950856",
"0.58060235",
"0.5799281",
"0.5795873",
"0.5752199",
"0.56631964",
"0.55473256",
"0.5533583",
"0.5423363",
"0.54131496",
"0.53921217",
"0.53843373",
"0.53843373",
"0.53843373",
"0.5361153",
"0.5359831",
"0.53507227",
"0.53416944",
"0.5282299",
"0.5266684",
"0.526... | 0.7380628 | 0 |
get a sklearn scaler from a scaler name | def get_scaler(scaler):
if scaler == 'standard':
from sklearn.preprocessing import StandardScaler
return StandardScaler()
if scaler == 'minmax':
from sklearn.preprocessing import MinMaxScaler
return MinMaxScaler() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __create_scaler_type(self):\n\n if self.scalertype == \"standard\":\n return StandardScaler()\n if self.scalertype == \"minmax\":\n return MinMaxScaler(feature_range=self.featureRange)\n assert True, \"An error occured when creating a scaler of type '{}'\".format(self... | [
"0.68367714",
"0.63356686",
"0.620714",
"0.61540365",
"0.58169883",
"0.57977337",
"0.57299215",
"0.57015646",
"0.56682044",
"0.5622776",
"0.5611353",
"0.55854297",
"0.5540283",
"0.5517815",
"0.5501262",
"0.54594105",
"0.5455747",
"0.5352761",
"0.5330781",
"0.5323924",
"0.5315... | 0.81780565 | 0 |
get a PCA decomposition | def get_pca():
from sklearn.decomposition import PCA
return PCA() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getPCA(data):\n #covM = np.cov(data.T) #note that np.cov define row as variables, col as observations\n #corM = np.corrcoef(data.T) # we will use correlation matrix instead of cov.\n covM = np.cov(data.T)\n eigvalue,eigvector = np.linalg.eig(covM) # each col of the eigvector matrix corresponds to o... | [
"0.76003706",
"0.74183345",
"0.73857856",
"0.73070925",
"0.7215321",
"0.7163089",
"0.7066037",
"0.7064292",
"0.7050474",
"0.7049609",
"0.70191026",
"0.7006228",
"0.6999517",
"0.6968802",
"0.6924137",
"0.68874854",
"0.6884852",
"0.68622917",
"0.67792535",
"0.6774958",
"0.67328... | 0.84510195 | 0 |
get a PolynomialFeatures transform | def get_poly(kwargs):
from sklearn.preprocessing import PolynomialFeatures
return PolynomialFeatures(**kwargs) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def generate_polynomial_features(self, X) :\n\n n,d = X.shape\n\n ### ========== TODO : START ========== ###\n # part b: modify to create matrix for simple linear model\n # part g: modify to create matrix for polynomial model\n Phi = X\n m = self.m_\n\n if m == 1:\n... | [
"0.7088703",
"0.69679934",
"0.66370046",
"0.6578305",
"0.6512583",
"0.6453376",
"0.63881963",
"0.6234599",
"0.6210643",
"0.6198964",
"0.61715096",
"0.61595196",
"0.6012623",
"0.60067403",
"0.595723",
"0.5934394",
"0.58879584",
"0.5873344",
"0.582992",
"0.5797094",
"0.57733417... | 0.77433574 | 0 |
return a scikitlearn model class, and the required arguments | def get_model_class(class_name, kwargs={}):
# , Perceptron, PassiveAggressiveRegressor
# , NuSVR, LinearSVR
if class_name == 'LinearRegression':
from sklearn.linear_model import LinearRegression
return LinearRegression(**kwargs)
if class_name == 'SGDRegressor':
from sklearn.linear_model import SGDRegressor
return SGDRegressor(**kwargs)
if class_name == 'SVR':
from sklearn.svm import SVR
return SVR(**kwargs)
if class_name == 'DecisionTreeRegressor':
from sklearn.tree import DecisionTreeRegressor
return DecisionTreeRegressor(**kwargs)
if class_name == 'ExtraTreesRegressor':
from sklearn.ensemble import ExtraTreesRegressor
return ExtraTreesRegressor(**kwargs)
if class_name == 'KNeighborsRegressor':
from sklearn.neighbors import KNeighborsRegressor
return KNeighborsRegressor(**kwargs)
if class_name == 'MLPRegressor':
from sklearn.neural_network import MLPRegressor
return MLPRegressor(**kwargs)
raise Exception("Unknown Model class") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self):\n self.name = \"Schaffer\"\n objectives = [o_sh_1, o_sh_2]\n decisions = [Decision(-10 ** 5, 10 ** 5)]\n Model.__init__(self, objectives, None, decisions)",
"def modelClass(self):\n raise NotImplementedError",
"def __init__(self):\n self.name = \"Kursaw... | [
"0.6693503",
"0.65363216",
"0.6457696",
"0.64020926",
"0.6377376",
"0.6377376",
"0.6377376",
"0.6377376",
"0.6377376",
"0.6333438",
"0.6327423",
"0.6295708",
"0.60578156",
"0.6057667",
"0.6044534",
"0.60367906",
"0.5996065",
"0.5984835",
"0.5975537",
"0.59328324",
"0.59180677... | 0.55198646 | 68 |
Initialize with normalized columns | def normc_init(std=1.0, axis=0):
def _initializer(shape, dtype=None, partition_info=None): # pylint: disable=W0613
out = np.random.randn(*shape).astype(np.float32)
out *= std / np.sqrt(np.square(out).sum(axis=axis, keepdims=True))
return tf.constant(out)
return _initializer | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build_normalized(self):\n for row, s in enumerate(self.S):\n for col, t in enumerate(self.T):\n\n if self.symmetric and row > col:\n pass\n\n elif self.symmetric and row == col:\n self.normalized_mat[row, col] = 1\n\n ... | [
"0.62527007",
"0.61988616",
"0.6170687",
"0.6163979",
"0.601633",
"0.59947926",
"0.5964604",
"0.59518266",
"0.5946991",
"0.5934487",
"0.5933899",
"0.59310675",
"0.59298176",
"0.587819",
"0.5838801",
"0.5835919",
"0.5826909",
"0.5814432",
"0.5814432",
"0.5799486",
"0.5779557",... | 0.0 | -1 |
Gated recurrent unit (GRU) with nunits cells. | def call(self, inputs, state):
x, new = inputs
while len(state.get_shape().as_list()) > len(new.get_shape().as_list()):
new = tf.expand_dims(new,len(new.get_shape().as_list()))
h = state * (1.0 - new)
hx = tf.concat([h, x], axis=1)
mr = tf.sigmoid(tf.matmul(hx, self.w1) + self.b1)
# r: read strength. m: 'member strength
m, r = tf.split(mr, 2, axis=1)
rh_x = tf.concat([r * h, x], axis=1)
htil = tf.tanh(tf.matmul(rh_x, self.w2) + self.b2)
h = m * h + (1.0 - m) * htil
return h, h | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build_gru_cell(num_units, dropout):\n cell = tf.nn.rnn_cell.GRUCell(num_units)\n if dropout:\n result = tf.nn.rnn_cell.DropoutWrapper(cell,\n output_keep_prob=1-dropout)\n return result",
"def _initialize_gru_cell(self, num_units):\n return gru_cell.Laye... | [
"0.721755",
"0.66543376",
"0.6298048",
"0.62718433",
"0.5896392",
"0.5840149",
"0.57050383",
"0.5683324",
"0.56716853",
"0.5620621",
"0.56158394",
"0.56078464",
"0.55852866",
"0.5582799",
"0.5549927",
"0.55428386",
"0.5535521",
"0.551115",
"0.5498461",
"0.54404557",
"0.538380... | 0.0 | -1 |
create base passwords for consumer threads to crypt | def generate_data(q, maxlen=2, minlen=1):
alphabet = 'ab'
alphabet = printable
for l in range(minlen, maxlen+1):
for s in product(alphabet, repeat=l):
q.put( ''.join(s) ) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def passwordGen() :\n\treturn __randomString(12)",
"def generate_password(c, user=\"root\"):\n passw = subprocess.run(\n [\n \"nix\",\n \"run\",\n \"--inputs-from\",\n \".#\",\n \"nixpkgs#xkcdpass\",\n \"--\",\n \"-d-\",\n ... | [
"0.68011814",
"0.6634942",
"0.65811294",
"0.6548595",
"0.6521094",
"0.64116335",
"0.6410874",
"0.6394931",
"0.63810545",
"0.637443",
"0.6355256",
"0.63321126",
"0.63251275",
"0.6267523",
"0.62596804",
"0.62588465",
"0.6251437",
"0.62477094",
"0.6220845",
"0.62131107",
"0.6190... | 0.0 | -1 |
pull data from the queue and add to database | def record_data(q):
db = psycopg2.connect(
dbname='rainbow',
host='humpy',
user='rainbow',
password='bowrain',
);
cur = db.cursor();
while True:
vals = q.get()
for val in vals:
#print val['h']
try:
cur.execute("""
INSERT INTO three_des
(pass, hash)
VALUES(%(p)s, %(h)s)
""",
val
)
except:
print "Failed to insert"
db.commit()
q.task_done() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def worker(self, queue):\n with sa.create_engine(dsn).connect() as dbcon:\n while True:\n if queue.qsize() == 0:\n sleep(1)\n if queue.qsize() == 0:\n break\n continue\n item = queue.get(... | [
"0.6866185",
"0.6528412",
"0.65014994",
"0.6360959",
"0.6359229",
"0.6332785",
"0.6331364",
"0.63042796",
"0.62166846",
"0.621502",
"0.6206312",
"0.618142",
"0.61665404",
"0.6134651",
"0.61273587",
"0.61071765",
"0.6074403",
"0.60732526",
"0.6055935",
"0.6055481",
"0.60451365... | 0.0 | -1 |
Check GMail E.g. messages,unseen = imap.check_gmail('username.com','password') | def check_gmail(username, password):
i = imaplib.IMAP4_SSL('imap.gmail.com')
try:
i.login(username, password)
x, y = i.status('INBOX', '(MESSAGES UNSEEN)')
messages = int(re.search('MESSAGES\s+(\d+)', y[0]).group(1))
unseen = int(re.search('UNSEEN\s+(\d+)', y[0]).group(1))
return messages, unseen
except:
return False, 0 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def checkEmail():\n\tpop_conn = poplib.POP3_SSL('pop.gmail.com')\n\tpop_conn.user('')\n\tpop_conn.pass_('')\n\t#Get messages from server:\n\tmessages = [pop_conn.retr(i) for i in range(1, len(pop_conn.list()[1]) + 1)]\n\t# Concat message pieces:\n\tmessages = [\"\\n\".join(mssg[1]) for mssg in messages]\n\t#Parse ... | [
"0.70329154",
"0.6592309",
"0.64842856",
"0.636004",
"0.6350439",
"0.62164766",
"0.6210396",
"0.6174336",
"0.60854125",
"0.6038846",
"0.6019747",
"0.5920456",
"0.58898234",
"0.5836752",
"0.5829357",
"0.57975626",
"0.57911247",
"0.57865626",
"0.5757906",
"0.57237977",
"0.56982... | 0.8364727 | 0 |
Converts a raw packet to a dpkt packet regarding of link type. | def iplayer_from_raw(raw, linktype=1):
if linktype == 1: # ethernet
pkt = dpkt.ethernet.Ethernet(raw)
ip = pkt.data
elif linktype == 101: # raw
ip = dpkt.ip.IP(raw)
else:
raise Exception("unknown PCAP linktype")
return ip | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_packet(linktype, packet):\n link_layer = parse_Ethernet(packet) if linktype == pcapy.DLT_EN10MB else parse_Cooked(packet)\n if link_layer['payload_type'] in ['IPv4', 'IPv6']:\n network_layer = parse_IPv4(link_layer['payload']) if link_layer['payload_type'] == 'IPv4' else parse_IPv6(link_laye... | [
"0.68164754",
"0.62622094",
"0.5889911",
"0.5856772",
"0.5697665",
"0.52689415",
"0.5258935",
"0.52217716",
"0.5157317",
"0.51023954",
"0.5042225",
"0.5041668",
"0.49423012",
"0.49230462",
"0.4902196",
"0.4897916",
"0.4865398",
"0.48552364",
"0.4845798",
"0.48386303",
"0.4838... | 0.63520455 | 1 |
Parse a packet from a pcap just enough to gain a flow description tuple | def flowtuple_from_raw(raw, linktype=1):
ip = iplayer_from_raw(raw, linktype)
if isinstance(ip, dpkt.ip.IP):
sip, dip = socket.inet_ntoa(ip.src), socket.inet_ntoa(ip.dst)
proto = ip.p
sport, dport = 0, 0
l3 = ip.data
# try to get the layer 3 source and destination port, but its ok if this fails,
# which will happen when we get IP fragments or packets with invalid checksums
try:
sport, dport = l3.sport, l3.dport
except AttributeError:
pass
else:
sip, dip, proto = 0, 0, -1
sport, dport = 0, 0
flowtuple = (sip, dip, sport, dport, proto)
return flowtuple | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def parse_packet(packet, traffic_type, pkt_type, exp_dst, step):\n packet_count = 0\n if(traffic_type == \"encap\"):\n if(pkt_type == \"stp\"):\n for i in packet:\n if ((packet[i]['Ethernet']['IP']['src'] == DST_IP) and\n (packet[i]['Ethernet']['IP']['dst']... | [
"0.7090595",
"0.7003652",
"0.69936156",
"0.66334194",
"0.65440345",
"0.65436566",
"0.6405004",
"0.63479155",
"0.6322695",
"0.628168",
"0.62721276",
"0.6175732",
"0.60703814",
"0.6070341",
"0.60200423",
"0.60150564",
"0.5997884",
"0.5978716",
"0.5949455",
"0.59455645",
"0.5936... | 0.573576 | 29 |
Get the payload from a packet, the data below TCP/UDP basically | def payload_from_raw(raw, linktype=1):
ip = iplayer_from_raw(raw, linktype)
try: return ip.data.data
except:
return "" | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_payload(packet):\n #payload_len = get_payload_length(packet)\n adaptation_field_len = TS.get_adaptation_field_length(packet)\n header_size = 4 + adaptation_field_len\n return packet[header_size:]",
"def get_tcp_packet_payload(pkt: dpkt.ethernet.Ethernet) -> bytes:\n eth = dpkt.ethernet.Eth... | [
"0.8326517",
"0.78962934",
"0.7087218",
"0.6683006",
"0.6564376",
"0.65308803",
"0.6511432",
"0.65108025",
"0.6451101",
"0.63990587",
"0.6355475",
"0.63496506",
"0.6315682",
"0.62409586",
"0.62407076",
"0.6233684",
"0.62289816",
"0.62234855",
"0.61914325",
"0.61500925",
"0.61... | 0.65222436 | 6 |
Extract all packets belonging to the same flow from a pcap packet iterator | def next_connection_packets(piter, linktype=1):
first_ft = None
for ts, raw in piter:
ft = flowtuple_from_raw(raw, linktype)
if not first_ft: first_ft = ft
sip, dip, sport, dport, proto = ft
if not (first_ft == ft or first_ft == (dip, sip, dport, sport, proto)):
break
yield {
"src": sip, "dst": dip, "sport": sport, "dport": dport, "proto": proto,
"raw": payload_from_raw(raw, linktype).encode("base64"), "direction": first_ft == ft,
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def filter(self):\n # outfile = open(self.newpcap, 'wb')\n # writer = dpkt.pcap.Writer(outfile)\n f = open(self.pcapfile, 'rb')\n packets = dpkt.pcap.Reader(f)\n\n for timestamp, buf in packets:\n eth = dpkt.ethernet.Ethernet(buf)\n if not isinstance(eth.dat... | [
"0.6305733",
"0.6296941",
"0.6157458",
"0.5966342",
"0.58530146",
"0.58158106",
"0.5761478",
"0.5597372",
"0.5591383",
"0.5550107",
"0.5509687",
"0.5483427",
"0.5468516",
"0.54531425",
"0.53616995",
"0.52512836",
"0.5180603",
"0.51701915",
"0.5169873",
"0.5168804",
"0.5165378... | 0.67187 | 0 |
Open a PCAP, seek to a packet offset, then get all packets belonging to the same connection | def packets_for_stream(fobj, offset):
pcap = dpkt.pcap.Reader(fobj)
pcapiter = iter(pcap)
ts, raw = pcapiter.next()
fobj.seek(offset)
for p in next_connection_packets(pcapiter, linktype=pcap.datalink()):
yield p | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def print_packets(pcap):\n\n # For each packet in the pcap process the contents\n for timestamp, buf, hdr_len in pcap:\n \n # Unpack the Ethernet frame (mac src/dst, ethertype)\n eth = dpkt.ethernet.Ethernet(buf)\n # print('Ethernet Frame: ', mac_addr(eth.src), mac_addr(eth.dst), ... | [
"0.5710354",
"0.5529603",
"0.5436237",
"0.5389503",
"0.5370659",
"0.5341635",
"0.5319951",
"0.5312948",
"0.5296589",
"0.52821374",
"0.5232271",
"0.5231817",
"0.5208476",
"0.52023923",
"0.51755023",
"0.5116855",
"0.5112408",
"0.5110333",
"0.5092085",
"0.5089987",
"0.5086152",
... | 0.69073343 | 0 |
batch sort helper with temporary files, supports sorting large stuff | def batch_sort(input_iterator, output_path, buffer_size=1024**2, output_class=None):
if not output_class:
output_class = input_iterator.__class__
chunks = []
try:
while True:
current_chunk = list(islice(input_iterator,buffer_size))
if not current_chunk:
break
current_chunk.sort()
output_chunk_name = os.path.join(TMPD, "%06i" % len(chunks))
output_chunk = output_class(output_chunk_name)
for elem in current_chunk:
output_chunk.write(elem.obj)
output_chunk.close()
chunks.append(input_iterator.__class__(output_chunk_name))
output_file = output_class(output_path)
for elem in heapq.merge(*chunks):
output_file.write(elem.obj)
output_file.close()
except:
raise
finally:
for chunk in chunks:
try:
chunk.close()
os.remove(chunk.name)
except Exception:
pass | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def batchSort(input, output, key, buffer_size, tempdir):\n def merge(key=None, *iterables):\n if key is None:\n keyed_iterables = iterables\n else:\n Keyed = namedtuple(\"Keyed\", [\"key\", \"obj\"])\n keyed_iterables = [(Keyed(key(obj), obj) for obj in iterable)\n... | [
"0.72347873",
"0.69368804",
"0.66853625",
"0.66780645",
"0.6673519",
"0.65403235",
"0.6349198",
"0.61560905",
"0.60991603",
"0.6048404",
"0.60408694",
"0.60184044",
"0.6008325",
"0.59858507",
"0.59529555",
"0.5915996",
"0.5901437",
"0.59011704",
"0.58594245",
"0.5847667",
"0.... | 0.68566626 | 2 |
Use SortCap class together with batch_sort to sort a pcap | def sort_pcap(inpath, outpath):
inc = SortCap(inpath)
batch_sort(inc, outpath, output_class=lambda path: WriteCap(path, linktype=inc.linktype))
return 0 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def external_sort(input_file_name, block_size, output_file_name=None):\n if output_file_name is None:\n output_file_name = input_file_name\n sorter = ExternalSort(input_file_name, block_size, output_file_name)\n sorter.run()",
"def step020():\n logger.logMessage('Begin: Sorting records')\n ... | [
"0.55296206",
"0.5489133",
"0.5482073",
"0.5391432",
"0.53850245",
"0.53489995",
"0.5328854",
"0.52847326",
"0.5241572",
"0.5189761",
"0.5177634",
"0.51613575",
"0.51465315",
"0.5137804",
"0.5135673",
"0.51097757",
"0.51089555",
"0.51009786",
"0.5096934",
"0.5095022",
"0.5090... | 0.7660257 | 0 |
test that the StrainData.fetch_open_frame works as expected | def test_fetch_open_frame(self):
import requests
pesummary_data = StrainData.fetch_open_frame(
"GW190412", IFO="L1", duration=32, sampling_rate=4096.,
channel="L1:GWOSC-4KHZ_R1_STRAIN", format="hdf5"
)
N = len(pesummary_data)
np.testing.assert_almost_equal(N * pesummary_data.dt.value, 32.)
np.testing.assert_almost_equal(1. / pesummary_data.dt.value, 4096.)
assert pesummary_data.IFO == "L1"
_data = requests.get(
"https://www.gw-openscience.org/eventapi/html/GWTC-2/GW190412/v3/"
"L-L1_GWOSC_4KHZ_R1-1239082247-32.gwf"
)
with open("L-L1_GWOSC_4KHZ_R1-1239082247-32.gwf", "wb") as f:
f.write(_data.content)
data2 = TimeSeries.read(
"L-L1_GWOSC_4KHZ_R1-1239082247-32.gwf",
channel="L1:GWOSC-4KHZ_R1_STRAIN"
)
np.testing.assert_almost_equal(pesummary_data.value, data2.value)
np.testing.assert_almost_equal(
pesummary_data.times.value, data2.times.value
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_fetch_open_data(self):\n args = [\"L1\", 1126259446, 1126259478]\n pesummary_data = StrainData.fetch_open_data(*args)\n gwpy_data = TimeSeries.fetch_open_data(*args)\n np.testing.assert_almost_equal(pesummary_data.value, gwpy_data.value)\n np.testing.assert_almost_equal(... | [
"0.73446274",
"0.65186745",
"0.6414948",
"0.6280164",
"0.61943877",
"0.6105646",
"0.5987783",
"0.596136",
"0.5908009",
"0.5907794",
"0.59036356",
"0.5877466",
"0.5877377",
"0.5873337",
"0.5770271",
"0.57309335",
"0.57286495",
"0.5710138",
"0.569773",
"0.56320137",
"0.5627794"... | 0.81294215 | 0 |
Test that the gwpy methods are still the same | def test_fetch_open_data(self):
args = ["L1", 1126259446, 1126259478]
pesummary_data = StrainData.fetch_open_data(*args)
gwpy_data = TimeSeries.fetch_open_data(*args)
np.testing.assert_almost_equal(pesummary_data.value, gwpy_data.value)
np.testing.assert_almost_equal(
pesummary_data.times.value, gwpy_data.times.value
)
assert isinstance(pesummary_data.gwpy, TimeSeries)
np.testing.assert_almost_equal(
pesummary_data.gwpy.value, gwpy_data.value
)
np.testing.assert_almost_equal(
pesummary_data.gwpy.times.value, gwpy_data.times.value
)
assert pesummary_data.IFO == "L1"
assert list(pesummary_data.strain_dict.keys()) == ["L1"]
np.testing.assert_almost_equal(
pesummary_data.strain_dict["L1"].value, gwpy_data.value
)
np.testing.assert_almost_equal(
pesummary_data.strain_dict["L1"].times.value, gwpy_data.times.value
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_method(self):\n self.assertEqual(self.method, 'modified strong collision')",
"def test_required_methods(self):",
"def test_identical(self):\n write this test!",
"def test_class_ne_method(self, test_instances):\n a, b, c = test_instances\n\n assert a != c\n assert b... | [
"0.68101746",
"0.6541694",
"0.65237844",
"0.65063614",
"0.6301085",
"0.62971485",
"0.61756206",
"0.61576486",
"0.6139045",
"0.6088883",
"0.6029623",
"0.602739",
"0.6020766",
"0.60056776",
"0.5970609",
"0.5970609",
"0.5970609",
"0.5970609",
"0.5970609",
"0.5945786",
"0.5943556... | 0.0 | -1 |
Test that the plotting methods work as expected | def test_plots(self):
args = ["L1", 1126259446, 1126259478]
pesummary_data = StrainData.fetch_open_data(*args)
fig = pesummary_data.plot(type="td")
assert isinstance(fig, matplotlib.figure.Figure)
fig = pesummary_data.plot(type="fd")
assert isinstance(fig, matplotlib.figure.Figure)
fig = pesummary_data.plot(1126259446 + 20., type="omegascan")
assert isinstance(fig, matplotlib.figure.Figure)
fig = pesummary_data.plot(type="spectrogram")
assert isinstance(fig, matplotlib.figure.Figure) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_plotting():\n specs = _read_schrodinger('tests/test_data/{}.inp'.format(PROBLEM))\n xint, yint = _interpolate(specs['interpolxydecs'][:, 0],\n specs['interpolxydecs'][:, 1], specs['xopt'])\n\n energies = np.loadtxt('tests/test_data/energies_{}.ref'.format(PROBLEM))\n ... | [
"0.7648768",
"0.75122124",
"0.72958684",
"0.7275574",
"0.72454226",
"0.7222819",
"0.7141116",
"0.70794994",
"0.7067178",
"0.70542",
"0.70453763",
"0.7018102",
"0.70058864",
"0.6963196",
"0.6957051",
"0.6953664",
"0.6890608",
"0.6844756",
"0.6818328",
"0.67763114",
"0.67755586... | 0.6778257 | 19 |
Return elements e of s for which f(e) is true. | def filter_link(f, s):
if s is Link.empty:
return s
else:
filtered = filter_link(f, s.rest)
if f(s.first):
return Link(s.first, filtered)
else:
return filtered | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def selectElements(self, f, elements):\n if isinstance(elements, types.StringTypes):\n m = self.elementIndex(elements)\n return f[m]\n if elements:\n fs = []\n k = 0\n for s in elements:\n k = self.elementIndex(s)\n ... | [
"0.58423346",
"0.57762986",
"0.572943",
"0.56309384",
"0.55529606",
"0.554871",
"0.5516751",
"0.54883784",
"0.5471321",
"0.54678047",
"0.54397553",
"0.5426767",
"0.54211754",
"0.5374095",
"0.5334541",
"0.5296604",
"0.5284521",
"0.52649575",
"0.52402025",
"0.51693165",
"0.5168... | 0.5204124 | 19 |
Return true if set s contains value v as an element. >>> s = Link(1, Link(3, Link(2))) >>> contains(s, 2) True >>> contains(s, 4) False | def contains(s, v):
head = s
while not empty(head):
if head.first == v:
return True
head = head.rest
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __contains__(self, v):\n for i in self:\n if v in i:\n return True\n False",
"def contains(s, v):\n if empty(s):\n return False\n elif s.first == v:\n return True\n else:\n return contains(s.rest, v)",
"def has(self, v):\n return ... | [
"0.7584771",
"0.7085561",
"0.6912982",
"0.6782562",
"0.6782562",
"0.6781164",
"0.6648094",
"0.6498835",
"0.647441",
"0.64625543",
"0.6434304",
"0.64121056",
"0.6409181",
"0.64012474",
"0.63954437",
"0.6387302",
"0.63849604",
"0.6380661",
"0.634651",
"0.63379276",
"0.63075536"... | 0.7024014 | 2 |
Return Set s adjoin v | def adjoin(s, v):
if contains(s, v):
return s
else:
return Link(v, s) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_join(self):\n s = djset()\n s.add([1, 2, 3])\n s.add([4, 5, 6])\n s.add([2, 5])\n self.assertEquals({1, 2, 3, 4, 5, 6}, s.data[1])\n self.assertFalse(2 in s.data)",
"def getSets():",
"def aspset(self):\n try:\n return pset([x.aspset() for x in self])\n... | [
"0.6154213",
"0.60516834",
"0.59407765",
"0.58840305",
"0.58840305",
"0.582477",
"0.57098496",
"0.5630604",
"0.5627058",
"0.5624518",
"0.5581384",
"0.555813",
"0.5543269",
"0.5482053",
"0.54482526",
"0.544728",
"0.54431444",
"0.5377867",
"0.5345894",
"0.5336256",
"0.5320816",... | 0.5403839 | 17 |
Add v to a ordered set s and return s. >>> s = Link(1, Link(3, Link(5))) >>> add(s, 0) Link(0, Link(1, Link(3, Link(5)))) >>> add(s, 4) Link(0, Link(1, Link(3, Link(4, Link(5))))) >>> add(s, 6) Link(0, Link(1, Link(3, Link(4, Link(5, Link(6)))))) >>> t = Link(1) >>> add(t, 0) Link(0, Link(1)) | def add(s, v):
if empty(s):
return Link(v)
head = s
if head.first > v:
# s = Link(v, s) #error: assigment, then s will rebind to a new object
# s.first, s.rest = v, s # error s.rest = s
s.first, s.rest = v, Link(s.first, s.rest)
return s
# head.first <= v
while not empty(head.rest) and head.rest.first <= v:
head = head.rest
if head.first == v:
return s
else:
head.rest = Link(v, head.rest)
return s | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def add(s, v):\n if empty(s):\n return Link(v)\n if s.first > v:\n s.first, s.rest = v, Link(s.first, s.rest)\n elif s.first < v and empty(s.rest):\n s.rest = Link(v, s.rest)\n elif s.first < v:\n add(s.rest, v)\n return s",
"def add(self, s):\n current = self.fi... | [
"0.7793301",
"0.6587982",
"0.6429319",
"0.6309428",
"0.61591506",
"0.60639244",
"0.5989767",
"0.5989767",
"0.58004624",
"0.5777832",
"0.5752884",
"0.56904775",
"0.56822777",
"0.56809616",
"0.56809616",
"0.56750697",
"0.5661514",
"0.56589",
"0.561813",
"0.5617699",
"0.55932224... | 0.7641497 | 1 |
Tests models trained on segmented logmel spectrograms. | def test_wind_mel_model(preds_paths, data_val):
# Load model predicitions - allowing for possibility of ensemble
model_preds = np.stack([np.load(pred_path) for pred_path in preds_paths])
model_preds = np.mean(model_preds, axis=0)
# Get ids and true labels
labels = []
ids = []
for example in data_val:
labels.append(example[1])
ids.append(example[2])
# Calculate accuracy and label-predication pairs
num_examples = 0
num_correct = 0
current_id = None
current_label = None
c_matrix = np.zeros((50, 50))
for i in range(len(ids)):
label = labels[i]
id = ids[i]
# Check to see if new example has entered
if id != current_id:
# Evaluate previous id fully - will not enter on first iteration
if current_id:
current_prediction_probs /= num_ids
prediction = np.argmax(current_prediction_probs)
# update lab_pred counts
c_matrix[int(current_label), int(prediction)] += 1
# Increment correct prediction counter if prediction correct
if prediction == current_label:
num_correct += 1
# reset and increment variables
num_examples += 1
current_id = id
current_label = label
num_ids = 1
current_prediction_probs = model_preds[i]
else:
num_ids += 1
current_prediction_probs += model_preds[i]
accuracy = num_correct / num_examples
print(f"{num_correct} / {num_examples} = {accuracy:.4f}")
return accuracy, c_matrix | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_models(directorio=''):\r\n \r\n print('The trained models will be tested now')\r\n start = time.time()\r\n \r\n busqueda = \"ls \" + directorio + \"/*.h5 > model_names.txt\"\r\n\r\n os.system(busqueda)\r\n\r\n X = np.load(directorio + '/Xtest.npy')\r\n diccio = np.load(directorio +... | [
"0.6325506",
"0.6192102",
"0.6124805",
"0.60204524",
"0.6009529",
"0.5962141",
"0.59607697",
"0.59232557",
"0.589596",
"0.58899426",
"0.58750546",
"0.58347756",
"0.5821097",
"0.58149606",
"0.5804652",
"0.578651",
"0.5777658",
"0.57776195",
"0.5773679",
"0.5771149",
"0.575928"... | 0.0 | -1 |
Performs cross validation on a segmented logmel spectrogram trained model. | def cv(preds_path_stem, num_ensemble=1):
fold_accs = []
fold_c_matricies = []
for fold in range(1, 6):
data_val = load_dataset(
f'Data/esc50_mel_wind_tfr/raw/fold_{fold}.tfrecords')
pred_paths=[f'{preds_path_stem}preds_fold_{i}_{fold}.npy'
for i in range(1, num_ensemble+1)]
fold_acc, fold_c_matrix = test_wind_mel_model(pred_paths, data_val)
fold_accs.append(fold_acc)
fold_c_matricies.append(fold_c_matrix)
cv_acc = np.mean(fold_accs)
cv_acc_std = np.std(fold_accs)
c_matrix = np.sum(fold_c_matricies, axis=0) / np.sum(fold_c_matricies)
np.save(f'{preds_path_stem}cmatrix_{num_ensemble}.npy', c_matrix)
print(f"The cross validation accuracy is {cv_acc:.4f} "
f"+/- 1.96 * {cv_acc_std:.4f}") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def run(self, df: pd.DataFrame, model: Any):\n print(f'Running cross validation with the following model:\\n{model}')\n\n df['timestamp'] = pd.to_datetime(df['timestamp'])\n\n date_1 = datetime.datetime(year=2016, month=1, day=1)\n date_2 = datetime.datetime(year=2016, month=4, day=1)\n... | [
"0.67092973",
"0.6439459",
"0.6373035",
"0.63298774",
"0.6288726",
"0.61524415",
"0.6071506",
"0.6043888",
"0.6030679",
"0.60297436",
"0.6009352",
"0.5996283",
"0.59651506",
"0.5964834",
"0.5883891",
"0.5877334",
"0.5846096",
"0.57740736",
"0.5755319",
"0.5751334",
"0.5747167... | 0.0 | -1 |
DO NOT CALL THIS FUNCTION UNLESS YOU HAVE DATA YOU WANT TO STORE IT DELETES THE CURRENT DATA. | def store_images(database):
# image folder
folder_path = os.getcwd() + '/Data/Test'
img_width, img_height = 224, 224
images = []
label = []
for _, dirs, _ in os.walk(folder_path, topdown=True):
for directory in dirs:
sub_folder_path = os.path.join(folder_path, directory)
for _, _, files in os.walk(sub_folder_path):
for name in files:
if name != '.DS_Store':
img = os.path.join(sub_folder_path, name)
img = image.load_img(img, target_size=(img_width, img_height))
img = image.img_to_array(img)
img = np.expand_dims(img, axis=0)
images.append(img)
label.append(directory)
images = np.vstack(images)
model = Model()
predictions = model.model.predict(images, batch_size=10)
db_actions.reinitialize_table(database)
for i in range(100):
prediction = predictions[i, :]
normalized_prediction = prediction / np.sum(prediction)
db_actions.add_encoding(database, normalized_prediction, label[i])
print("Sum is: {}".format(np.sum(normalized_prediction))) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def clearData():\n Co8PersistentData.__dataDict.clear()",
"def clear_data(self):\n if isinstance(self.data, DataManager):\n self.data._update_keys(clear=True)\n else:\n self.data = {}",
"def clear_storage(self):\r\n raise NotImplementedError('override me')",
... | [
"0.69582635",
"0.67999136",
"0.67593694",
"0.6599251",
"0.6595057",
"0.6536432",
"0.6519219",
"0.649931",
"0.64161766",
"0.6401068",
"0.63972634",
"0.6385674",
"0.63851345",
"0.6344443",
"0.6343384",
"0.63345444",
"0.63222915",
"0.63222915",
"0.6261738",
"0.62559605",
"0.6239... | 0.0 | -1 |
Checks that household is in editing state. | def clean(self):
cleaned_data = super().clean()
if any(self.errors):
# Don't bother validating unless each field is valid on its own
return
if not self.household.editing:
raise forms.ValidationError("Household is not in editing mode.") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def can_edit(self):\n return self.state not in (\n 'scanning', 'resulted', 'cancelled', 'aborted')",
"def is_edit(self):\n return self._tag == 'edit'",
"def _check_is_editable(self, raise_error: bool = True) -> bool:",
"def is_editable(self) -> bool | None:\n return self.check... | [
"0.7178205",
"0.71516967",
"0.7085395",
"0.69433004",
"0.6895201",
"0.68161714",
"0.68161714",
"0.66513175",
"0.6608026",
"0.6533432",
"0.6527401",
"0.6448996",
"0.6317548",
"0.62204605",
"0.6207848",
"0.61636037",
"0.6070379",
"0.6058616",
"0.5964224",
"0.5950804",
"0.593502... | 0.66041714 | 9 |
Checks that total of all weights is 100. Weights may be negative. | def clean(self):
if any(self.errors):
# Don't bother validating unless each form is valid on its own
return
if self.get_total_weights() != 100:
raise forms.ValidationError("Weights must sum to 100; try normalizing.") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_weight_is_positive(self):\n nt.assert_greater(self.herb.weight, 0)",
"def test_weighted_total(self):\r\n self.weighted_setup()\r\n self.submit_question_answer('H1P1', {'2_1': 'Correct', '2_2': 'Correct'})\r\n self.submit_question_answer('FinalQuestion', {'2_1': 'Correct', '2_... | [
"0.65198725",
"0.6382042",
"0.63662297",
"0.6255529",
"0.62205875",
"0.61262256",
"0.6087317",
"0.598844",
"0.59880143",
"0.5920109",
"0.5900693",
"0.5828325",
"0.58246195",
"0.5804198",
"0.57612586",
"0.5741681",
"0.5738628",
"0.5719216",
"0.56939536",
"0.56896657",
"0.56883... | 0.54984707 | 38 |
Returns area of a circle | def area(self):
return math.pi * self._r ** 2 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def circle_area(circle):\n return pi * circle.radius * circle.radius",
"def area_of_circle(radius):\n return radius",
"def circle_area(radius):\n area = radius ** 2 * math.pi\n return area",
"def area(self):\n\t\t#print (self.radius*self.radius*math.pi)\n\t\tcircle_area = (self.radius*self.radius... | [
"0.9091267",
"0.8981688",
"0.87279946",
"0.8713818",
"0.8643989",
"0.8638605",
"0.85790324",
"0.8510922",
"0.84058666",
"0.84058666",
"0.8388797",
"0.8306146",
"0.82901704",
"0.8135795",
"0.8114081",
"0.8105787",
"0.8105787",
"0.8066629",
"0.8049314",
"0.8016954",
"0.80149436... | 0.7715051 | 29 |
Alternate constructor using diameter rather than radius | def from_diameter(cls, val):
if val < 0:
raise ValueError('Diameter must be greater than 0')
return cls(val / 2) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self, radius=1, thickness=1, inner_radius=0):\n\n super().__init__()\n self.radius = radius\n self.inner_radius = inner_radius\n self.thickness = thickness",
"def diameter(self, diameter):\n self.radius = diameter / 2",
"def __init__(self, radius):\n self.... | [
"0.7655539",
"0.7464638",
"0.71278536",
"0.7123325",
"0.7113612",
"0.71134126",
"0.7005773",
"0.69776356",
"0.68636364",
"0.67984104",
"0.678745",
"0.678745",
"0.6740642",
"0.6733681",
"0.6701746",
"0.6677398",
"0.6677398",
"0.66244286",
"0.6590522",
"0.6543615",
"0.64221567"... | 0.67468303 | 12 |
Returns the object data in serializable format | def serialize(self):
return {
'username': self.username,
'email': self.email,
'joinedDate': self.joinedDate
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def GetDataAsObject(self):",
"def serialize(self, obj):\n return obj",
"def data(self):\n retval = copy.deepcopy(self.__dict__)\n retval[\"_Serializable_classname\"] = type(self).__name__\n retval[\"_Serializable_version\"] = \"1.0\"\n return retval",
"def to_data(self):\n ... | [
"0.7632179",
"0.74436677",
"0.7407177",
"0.7401359",
"0.7355684",
"0.73262495",
"0.7152773",
"0.71378213",
"0.7084737",
"0.70828056",
"0.70691866",
"0.7051947",
"0.7041008",
"0.7032165",
"0.7026014",
"0.701268",
"0.70110273",
"0.69258404",
"0.6858589",
"0.68336546",
"0.682847... | 0.0 | -1 |
Generates an auth token for the given user id. | def generateAuthToken(self):
try:
payload = {
'exp': datetime.utcnow() + timedelta(days=0, minutes=30),
'iat': datetime.utcnow(),
'sub': self.id
}
return jwt.encode(payload, current_app.config['SECRET_KEY'], algorithm='HS256').decode()
except Exception as error:
print(error)
return error | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def token_generate(self, user_id):\n try:\n payload = {\n 'exp': datetime.utcnow() + timedelta(minutes=200),\n 'iat': datetime.utcnow(),\n 'sub': user_id\n }\n encoded_token = jwt.encode(\n payload, current_app.conf... | [
"0.75365555",
"0.7299488",
"0.71115804",
"0.710188",
"0.690935",
"0.685729",
"0.6822128",
"0.6820735",
"0.68139696",
"0.67837673",
"0.67776555",
"0.6730933",
"0.66888976",
"0.6683402",
"0.6680387",
"0.66462904",
"0.66453385",
"0.65843165",
"0.6561365",
"0.6530449",
"0.6494656... | 0.65751797 | 18 |
Decodes the auth token | def decodeAuthToken(authToken):
try:
return jwt.decode(authToken, current_app.config['SECRET_KEY'], algorithm='HS256')['sub']
except jwt.ExpiredSignatureError:
return 'signature expired, Please login again'
except jwt.InvalidTokenError:
return 'Invalid token' | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def decode_auth_token(auth_token):\n try:\n payload = jwt.decode(auth_token, Config.SECRET_KEY,algorithms='HS256')\n return payload\n except jwt.ExpiredSignatureError:\n return 'Signature expired. Please log in again.'\n except jwt.InvalidTokenError:\n ... | [
"0.78745645",
"0.7660959",
"0.76199704",
"0.7532894",
"0.7487862",
"0.7487477",
"0.74580514",
"0.7387891",
"0.73657256",
"0.7325584",
"0.7293769",
"0.72489196",
"0.72383934",
"0.7121377",
"0.7056912",
"0.6959151",
"0.6953844",
"0.69251376",
"0.6916667",
"0.6878888",
"0.686526... | 0.7564726 | 3 |
Returns the Saved news object data in serializable format | def serialize(self):
return {
"id": self.id,
"headline": self.headline,
"url": self.url,
"image": self.image,
"shortDescription": self.shortDescription,
"saved": True,
"date": self.date,
"savedDate": self.savedDate
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def serialized_data(self):\n return {\n 'id': self.id,\n 'start_time': str(self.start_time),\n 'venue_id': self.venue_id,\n 'venue_name': self.venue.name,\n 'venue_image_link': self.venue.image_link,\n 'artist_id': self.artist_id,\n ... | [
"0.67177093",
"0.67075676",
"0.66094065",
"0.6601732",
"0.6585369",
"0.6565495",
"0.6531196",
"0.649494",
"0.64723766",
"0.64716303",
"0.64442974",
"0.64352673",
"0.6431501",
"0.64202684",
"0.64165074",
"0.64140564",
"0.64076835",
"0.64070576",
"0.6395844",
"0.6394233",
"0.63... | 0.6998519 | 0 |
This method is responsible for getting the messages to respond with Also covers analytics events for those messages for e.g. click, view | def respond_to_message(self):
MessageEventHandler(self.state, self.meta_data, self.message_data).handle_events(events=self.events)
data = Converter(self.state).get_messages(meta_data=self.meta_data, message_data=self.message_data)
outgoing_messages = data.get("messages", [])
events_to_publish = data.get("publish_events", [])
agent_messages = [message["message"] for message in outgoing_messages if message["sending_to"] == "AGENT"]
user_messages = [message["message"] for message in outgoing_messages if message["sending_to"] == "USER"]
agent_response = Util.send_messages(messages=agent_messages, sending_to="AGENT")
user_response = Util.send_messages(messages=user_messages, sending_to="USER")
if agent_response or user_response:
Util.update_state(meta_data=self.meta_data, state=self.state)
Util.log_events(meta_data=self.meta_data, state=self.state, events=events_to_publish)
return 1 | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def process_messages(self):\n pass",
"def handle_message(self, message):",
"def handle_messages():\n print(\"Handling Messages\")\n payload = request.get_data()\n for sender, incoming_message, payload in messaging_events(payload):\n # The following statements check which options the user... | [
"0.64154905",
"0.63751894",
"0.635842",
"0.62978166",
"0.6275776",
"0.62662673",
"0.6228096",
"0.6210156",
"0.6176662",
"0.6156185",
"0.6149644",
"0.61168385",
"0.60755175",
"0.6055626",
"0.6054083",
"0.6031606",
"0.6029565",
"0.6019241",
"0.5985364",
"0.5980711",
"0.59471154... | 0.69531924 | 0 |
This method is responsible for responding to events hit on synchronous api | def respond_to_events(self):
event_response = MessageEventHandler(self.state, self.meta_data, self.message_data).handle_events(events=self.events)
if event_response == []:
return {}
return event_response[0] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"async def run(self):\n current_status = \"Init\"\n while self.expected_status != current_status:\n await asyncio.sleep(1)\n async with aiohttp.ClientSession() as session:\n async with session.get(self.url) as response:\n api_call_result = await ... | [
"0.7191567",
"0.6846686",
"0.6839081",
"0.66729146",
"0.66401607",
"0.66307336",
"0.6543804",
"0.64999104",
"0.6479456",
"0.64707613",
"0.64707613",
"0.64252007",
"0.6379528",
"0.6327033",
"0.6313674",
"0.62806183",
"0.6274699",
"0.62721395",
"0.62186",
"0.621285",
"0.6212222... | 0.0 | -1 |
Commence the update of a vm using the data read from the API | def update(vm_data: Dict[str, Any], span: Span) -> bool:
vm_id = vm_data['id']
# Generate the necessary template data
child_span = opentracing.tracer.start_span('generate_template_data', child_of=span)
template_data = Windows._get_template_data(vm_data, child_span)
child_span.finish()
# Check that the data was successfully generated
if template_data is None:
error = f'Failed to retrieve template data for VM #{vm_id}.'
Windows.logger.error(error)
vm_data['errors'].append(error)
span.set_tag('failed_reason', 'template_data_failed')
return False
# Check that all of the necessary keys are present
if not all(template_data[key] is not None for key in Windows.template_keys):
missing_keys = [
f'"{key}"' for key in Windows.template_keys if template_data[key] is None
]
error_msg = f'Template Data Error, the following keys were missing from the VM update data: ' \
f'{", ".join(missing_keys)}.'
Windows.logger.error(error_msg)
vm_data['errors'].append(error_msg)
span.set_tag('failed_reason', 'template_data_keys_missing')
return False
# If everything is okay, commence updating the VM
host_name = template_data.pop('host_name')
# Render the update command
child_span = opentracing.tracer.start_span('generate_command', child_of=span)
cmd = utils.JINJA_ENV.get_template('vm/hyperv/commands/update.j2').render(**template_data)
child_span.finish()
# Open a client and run the two necessary commands on the host
updated = False
try:
child_span = opentracing.tracer.start_span('update_vm', child_of=span)
response = Windows.deploy(cmd, host_name, child_span)
span.set_tag('host', host_name)
child_span.finish()
except WinRMError as err:
error = f'Exception occurred while attempting to update VM #{vm_id} on {host_name}.'
Windows.logger.error(error, exc_info=True)
vm_data['errors'].append(f'{error} Error: {err}')
span.set_tag('failed_reason', 'winrm_error')
else:
# Check the stdout and stderr for messages
if response.std_out:
msg = response.std_out.strip()
Windows.logger.debug(f'VM update command for VM #{vm_id} generated stdout\n{msg}')
updated = 'VM Successfully Updated' in msg
# Check if the error was parsed to ensure we're not logging invalid std_err output
if response.std_err and '#< CLIXML\r\n' not in response.std_err:
msg = response.std_err.strip()
Windows.logger.error(f'VM update command for VM #{vm_id} generated stderr\n{msg}')
# Check if we need to restart the VM as well
if template_data['restart']:
# Also render and deploy the restart_cmd template
restart_cmd = utils.JINJA_ENV.get_template('vm/hyperv/commands/restart.j2').render(**template_data)
# Attempt to execute the restart command
Windows.logger.debug(f'Executing restart command for VM #{vm_id}')
child_span = opentracing.tracer.start_span('restart_vm', child_of=span)
response = Windows.deploy(restart_cmd, host_name, child_span)
child_span.finish()
if response.std_out:
msg = response.std_out.strip()
Windows.logger.debug(f'VM restart command for VM #{vm_id} generated stdout\n{msg}')
# Check if the error was parsed to ensure we're not logging invalid std_err output
if response.std_err and '#< CLIXML\r\n' not in response.std_err:
msg = response.std_err.strip()
error = f'VM restart command for VM #{vm_id} generated stderr\n{msg}'
vm_data['errors'].append(error)
Windows.logger.error(error)
return updated | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def update():\n return 'update api in put'",
"def update(self, params):",
"def _update_from_rest_data(self) -> None:",
"def vm_update(args):\n ip1 = args.ip1\n flavor = args.flavor\n numcpus = args.numcpus\n memory = args.memory\n plan = args.plan\n autostart = args.autostart\n noauto... | [
"0.67325056",
"0.65831465",
"0.64099467",
"0.6401777",
"0.6338021",
"0.62686175",
"0.62686175",
"0.62686175",
"0.62686175",
"0.62159324",
"0.62159324",
"0.61146724",
"0.61023915",
"0.60943973",
"0.6088066",
"0.60478616",
"0.60464793",
"0.60435563",
"0.6035188",
"0.6035188",
"... | 0.6388902 | 4 |
Given the vm data from the API, create a dictionary that contains all of the necessary keys for the template The keys will be checked in the update method and not here, this method is only concerned with fetching the data that it can. | def _get_template_data(vm_data: Dict[str, Any], span: Span) -> Optional[Dict[str, Any]]:
vm_id = vm_data['id']
Windows.logger.debug(f'Compiling template data for VM #{vm_id}')
data: Dict[str, Any] = {key: None for key in Windows.template_keys}
data['vm_identifier'] = f'{vm_data["project"]["id"]}_{vm_id}'
# changes
changes: Dict[str, Any] = {
'ram': False,
'cpu': False,
'storages': False,
}
updates = vm_data['history'][0]
try:
if updates['ram_quantity'] is not None:
# RAM is needed in MB for the updater but we take it in in GB (1024, not 1000)
changes['ram'] = vm_data['ram'] * 1024
except KeyError:
pass
try:
if updates['cpu_quantity'] is not None:
changes['cpu'] = vm_data['cpu']
except KeyError:
pass
# Fetch the drive information for the update
try:
if len(updates['storage_histories']) != 0:
Windows.logger.debug(f'Fetching drives for VM #{vm_id}')
child_span = opentracing.tracer.start_span('fetch_drive_updates', child_of=span)
changes['storages'] = Windows.fetch_drive_updates(vm_data)
child_span.finish()
except KeyError:
pass
# Add changes to data
data['changes'] = changes
data['storage_type'] = vm_data['storage_type']
data['vms_path'] = settings.HYPERV_VMS_PATH
# Get the host name of the server
host_name = None
for interface in vm_data['server_data']['interfaces']:
if interface['enabled'] is True and interface['ip_address'] is not None:
if IPAddress(str(interface['ip_address'])).version == 6:
host_name = interface['hostname']
break
if host_name is None:
error = f'Host ip address not found for the server # {vm_data["server_id"]}.'
Windows.logger.error(error)
vm_data['errors'].append(error)
return None
# Add the host information to the data
data['host_name'] = host_name
# Determine restart
data['restart'] = vm_data['restart']
return data | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_template_data(vm_data: Dict[str, Any], span: Span) -> Optional[Dict[str, Any]]:\n vm_id = vm_data['id']\n Windows.logger.debug(f'Compiling template data for VM #{vm_id}')\n data: Dict[str, Any] = {key: None for key in Windows.template_keys}\n\n data['vm_identifier'] = f'{vm_dat... | [
"0.69213694",
"0.6188512",
"0.6179154",
"0.6003007",
"0.5900166",
"0.58198947",
"0.58040434",
"0.5778774",
"0.5772093",
"0.5710987",
"0.5700737",
"0.56920326",
"0.56712186",
"0.566643",
"0.564755",
"0.56175077",
"0.56043386",
"0.5603194",
"0.55743086",
"0.5572557",
"0.5553227... | 0.7405127 | 0 |
This updates the view of the hand, between rounds it displays a message. | def update(self, player_index=0, num_players=1, visible_scards = []):
self.visible_scards = visible_scards
self.controller._state.player_index = player_index
if self.num_players > num_players and self.controller._state.rules.Shared_Board \
and not self.need_updated_buttons:
# A player has left the game after the round has begun -- make adjustments so game can continue.
self.playerLeftGame(num_players)
self.num_players = num_players
if self.controller._state.round == -1:
self.mesgBetweenRounds(self.help_text)
if self.round_advance:
self.round_index = self.round_index + 1
if self.round_index < len(self.Meld_Threshold):
self.help_text[0] = 'This is the round of ' + str(self.Meld_Threshold[self.round_index]) + ' ! '
self.need_updated_buttons = True # used for Liverpool.
else:
self.help_text = ['Game has concluded. Scores for each round can be found in command window.']
self.round_advance = False
else:
if not self.round_index == self.controller._state.round:
# Need this to true up round_index if a player joins mid-game.
skipped_rounds = self.controller._state.round - self.round_index
for idx in range(skipped_rounds):
#todo: How to score latecomers should be moved to ruleset.
score = 0
self.controller.lateJoinScores(score)
self.round_index = self.controller._state.round
self.round_advance = True
# reset outline colors on ready buttons to what they need to be at the start of the "between rounds" state.
self.ready_color_idx = 2
self.not_ready_color_idx = 6
self.last_hand = self.current_hand
self.current_hand = self.controller.getHand()
if len(self.current_hand) == 0:
self.hand_info = []
elif not self.last_hand == self.current_hand:
self.hand_info = HandManagement.WrapHand(self, self.current_hand, self.hand_info)
HandManagement.ShowHolding(self, self.hand_info) # displays hand
self.RuleSetsButtons.ButtonDisplay(self) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def update_display(self):\n self._clear_screen()\n print('Your score is {}'.format(self._roboc.score))\n print(self._roboc.currentmaze)\n print(\"Your viewpoint:\")\n print(self._roboc.get_hidden_game(4))",
"def updateChat(self, ):\n self.__redrawChat()",
"def viewUpda... | [
"0.60637283",
"0.60512704",
"0.6037003",
"0.6004294",
"0.5950593",
"0.59421533",
"0.59291905",
"0.5891295",
"0.5876253",
"0.58727294",
"0.584074",
"0.5837629",
"0.58247244",
"0.58215046",
"0.5802971",
"0.5793627",
"0.57535934",
"0.57366675",
"0.5722204",
"0.5721105",
"0.57205... | 0.5553602 | 47 |
This runs instead of most of nextEvent when Shared_Board is True and there are ambiguous wild cards. It is looking for key strokes to designate ambiguous wild cards in runs. The mouse is ignored until you designate all the wilds (turn phase goes back to play). | def nextEventWildsOnBoard(self):
if self.controller._state.rules.Shared_Board and self.num_wilds > 0:
for self.event in pygame.event.get():
if self.event.type == pygame.QUIT:
# The window crashed, we should handle this
print("pygame crash, AAAHHH")
pygame.quit()
quit()
else:
# in Shared_Board games, check if there are wilds that need to be updated.
# All other events are ignored until play is finished.
HandManagement.wildsHiLoGetInput(self) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nextEvent(self):\n\n if self.controller._state.rules.Shared_Board:\n self.num_wilds = len(self.controller.unassigned_wilds_dict.keys())\n if self.num_wilds > 0:\n self.nextEventWildsOnBoard()\n\n for self.event in pygame.event.get():\n if self.event... | [
"0.7081879",
"0.6245746",
"0.61995095",
"0.61223036",
"0.5956481",
"0.58805364",
"0.5852858",
"0.5740237",
"0.57229996",
"0.57229334",
"0.57194364",
"0.571404",
"0.5688867",
"0.56664747",
"0.5663727",
"0.56603277",
"0.56460625",
"0.5638092",
"0.5631298",
"0.5616782",
"0.56125... | 0.7606982 | 0 |
This submits the next user input to the controller, In games with Shared_Board = False (e.g. HandAndFoot) key strokes don't do anything unless designating values for prepared wild cards, at which time the mouse is ignored unless you want to clear the prepared cards. In games with Shared_Board = True wilds on board might change designation upon other cards being played. IF designation cannot be handled automatically (= if wild can be at the beginning or end of a run) then it must be designated before play is completed. This is done in nextEvenWildsOnBoard. All other events are ignored until num_wilds == 0 OR play is canceled. | def nextEvent(self):
if self.controller._state.rules.Shared_Board:
self.num_wilds = len(self.controller.unassigned_wilds_dict.keys())
if self.num_wilds > 0:
self.nextEventWildsOnBoard()
for self.event in pygame.event.get():
if self.event.type == pygame.QUIT:
# The window crashed, we should handle this
print("pygame crash, AAAHHH")
pygame.quit()
quit()
if not self.controller._state.rules.Shared_Board and self.num_wilds > 0:
wild_instructions = 'Use the keyboard to designate your prepared wild cards \r\n '
wild_instructions = wild_instructions + '(use 0 for 10 and J, Q, or K for facecards).'
self.controller.note = wild_instructions
pos = pygame.mouse.get_pos()
if self.event.type == pygame.MOUSEBUTTONDOWN:
self.RuleSetsButtons.ClickedButton(self, pos)
for element in self.hand_info:
# cannot select prepared cards, so not included in logic below.
if element.img_clickable.isOver(pos):
if element.status == 1:
element.status = 0
element.img_clickable.changeOutline(0)
elif element.status == 0:
element.status = 1
element.img_clickable.changeOutline(2)
elif self.event.type == pygame.MOUSEMOTION:
self.RuleSetsButtons.MouseHiLight(self, pos)
HandManagement.MouseHiLight(self.hand_info, pos)
elif self.event.type == pygame.KEYDOWN:
if self.controller._state.rules.Buy_Option:
if self.controller.buying_opportunity:
if self.event.key == pygame.K_y:
self.controller.wantTopCard(True)
self.controller.note = 'You have signaled you want to buy the card.'
elif self.event.key == pygame.K_n:
self.controller.wantTopCard(False)
self.controller.note = 'You have signaled you do not want to buy the card.'
if not self.controller._state.rules.Shared_Board and self.num_wilds > 0:
HandManagement.ManuallyAssign(self) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def nextEventWildsOnBoard(self):\n\n if self.controller._state.rules.Shared_Board and self.num_wilds > 0:\n for self.event in pygame.event.get():\n if self.event.type == pygame.QUIT:\n # The window crashed, we should handle this\n print(\"pygam... | [
"0.72409004",
"0.64886266",
"0.6171364",
"0.59191036",
"0.59139985",
"0.5860547",
"0.57915825",
"0.5791442",
"0.5777218",
"0.57734597",
"0.5769721",
"0.5763385",
"0.5751395",
"0.5743939",
"0.5728276",
"0.5692042",
"0.56845224",
"0.5682954",
"0.56781256",
"0.56780386",
"0.5671... | 0.6859589 | 1 |
gathers selected cards in order to take action on selected cards (either discarding them or preparing them) | def gatherSelected(self):
self.selected_list = []
for element in self.hand_info:
if element.status == 1:
self.selected_list.append(element)
return self.selected_list | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def pick(self, pack, cards_owned, draft_info):\n pass",
"def card_sel(\n self, num=1, **kwargs\n ): # pylint: disable=too-many-locals, too-many-branches\n selectfrom = self.card_selSource(**kwargs)\n force = kwargs[\"force\"] if \"force\" in kwargs else False\n showdesc = k... | [
"0.6779038",
"0.64504594",
"0.6393454",
"0.6248788",
"0.6065166",
"0.60555077",
"0.60298246",
"0.6014514",
"0.6014514",
"0.5978343",
"0.5904059",
"0.5888115",
"0.5883593",
"0.5855397",
"0.58428776",
"0.584109",
"0.5830821",
"0.582095",
"0.5810005",
"0.5807255",
"0.5788884",
... | 0.5896568 | 11 |
Confirm a user is sure about a discard and then perform it once confirmed. | def discardConfirmation(self, confirmed, wrapped_discards):
discards = []
for element in wrapped_discards:
discards.append(element.card)
if self.discards != discards:
confirmed = False
self.discards = discards
if not confirmed:
self.controller.note = "Please confirm - discard " + "{0}".format(self.discards)
return True # ask for confirmation
else:
# confirmed is True, performing discard and removing discarded wrapped cards from hand_info.
if self.discard_confirm:
controller_response = self.controller.discard(self.discards)
if controller_response:
for element in wrapped_discards:
self.hand_info.remove(element)
return False # now that this is done, we don't have anything waiting on confirmation | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def confirm_with_abort() -> None:\n\n click.confirm(\n \"Are you sure you want to drop the users table?\",\n abort=True\n )\n\n click.echo(\"We have gotten to this point, so the user has confirmed.\")",
"def action_confirm(self):\n self.check_txt_ids()\n self.write({'state': ... | [
"0.6619172",
"0.65421534",
"0.63608795",
"0.6252194",
"0.62353194",
"0.6222551",
"0.61789745",
"0.6149395",
"0.61379594",
"0.6117161",
"0.6086858",
"0.6077924",
"0.6073165",
"0.60582376",
"0.60207057",
"0.60002977",
"0.59929824",
"0.5937757",
"0.593176",
"0.59203535",
"0.5888... | 0.72036105 | 0 |
print message where cards usually displayed until Ready button is clicked for next round. | def mesgBetweenRounds(self, message):
font = UIC.Medium_Text
y_offset = (UIC.Disp_Height * (1 - (UIC.Hand_Row_Fraction * 0.8)))
for message_string in message:
text_surface = font.render(message_string, True, UIC.Black)
text_rect = text_surface.get_rect()
text_rect.center = ((UIC.Disp_Width * 0.5), y_offset)
y_offset = y_offset + UIC.Medium_Text_Feed
self.display.blit(text_surface, text_rect) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def progress_game(self):\r\n\r\n if self.actions == len(self.players):\r\n # Reveal the 3 first cards\r\n output_text = \"Dealing the flop...\"\r\n\r\n self.new_output.emit(output_text)\r\n self.community_cards.flop()\r\n\r\n if self.actions == 2 * len(self... | [
"0.66662335",
"0.6361344",
"0.6316823",
"0.6280809",
"0.6178084",
"0.6174785",
"0.6170106",
"0.613654",
"0.61161566",
"0.61064357",
"0.6105633",
"0.60992396",
"0.6090242",
"0.6024819",
"0.6020871",
"0.5997386",
"0.5983832",
"0.59802616",
"0.59356964",
"0.593354",
"0.5915386",... | 0.0 | -1 |
Test Category model data insertion/types/field attributes | def test_category_model_entry(self): # PRUEBA DE CARGAR LA INFORMACION EN LOS MODELOS A TESTEAR
data = self.data1
self.assertTrue(isinstance(data, Category)) # REALIZA EL TESTEO | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_category_model_entry(self):\n data = self.data1\n self.assertTrue(isinstance(data, Category))\n self.assertEqual(str(data), 'django')",
"def test_create_category(self):\n pass",
"def test_category_has_access_to_model_data():\n category = Category()\n category_data = c... | [
"0.7511274",
"0.74611753",
"0.7387198",
"0.7346792",
"0.7272893",
"0.721909",
"0.6904485",
"0.69011027",
"0.6842334",
"0.67509025",
"0.67248386",
"0.6717649",
"0.6624068",
"0.656367",
"0.6542668",
"0.6540674",
"0.65404874",
"0.6470544",
"0.646362",
"0.64630693",
"0.64449406",... | 0.80247825 | 0 |
Test Category model default name | def test_category_model_entry(self):
data = self.data1
self.assertEqual(str(data), 'django') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __str__(self):\n return self.category_name",
"def test_category_name_label(self):\n\n cat = Category.objects.get(id=1)\n label_name = cat._meta.get_field('name').verbose_name\n self.assertEqual(label_name, 'name')",
"def make_test_category(self):\n\n c = Category(slug='te... | [
"0.69887996",
"0.69840467",
"0.6772042",
"0.6648228",
"0.6618688",
"0.6510455",
"0.6509711",
"0.6475036",
"0.64495313",
"0.63525605",
"0.6342909",
"0.62700176",
"0.6242026",
"0.6151665",
"0.61083674",
"0.60542405",
"0.6046889",
"0.59698623",
"0.5938677",
"0.5932067",
"0.59171... | 0.0 | -1 |
Test product model data insertion/types/field attributes | def test_products_model_entry(self):
data = self.data1
self.assertTrue(isinstance(data, Product))
self.assertEqual(str(data), 'django beginners') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_product_fields(self):\n\n prd = Product.objects.get(id=1)\n\n # test the type of name field\n prd_type = prd._meta.get_field('name').get_internal_type()\n self.assertEqual(prd_type, 'CharField')\n # label name\n max_length = prd._meta.get_field('name').max_length\... | [
"0.76896816",
"0.7435254",
"0.74246174",
"0.73524946",
"0.71989226",
"0.7134408",
"0.6947085",
"0.69248456",
"0.68103576",
"0.67975587",
"0.67713046",
"0.67241883",
"0.6704033",
"0.66982996",
"0.6688978",
"0.66654783",
"0.66048956",
"0.659939",
"0.6586787",
"0.6566571",
"0.65... | 0.7449101 | 1 |
Returns the number of lines of code | def get_line_count(blob):
return len(blob.split('\n')) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _getNewCodeLength(self):\n nb_lines = 0\n for line in self.body.splitlines():\n if not line.startswith(\"-\"):\n nb_lines += 1\n return nb_lines",
"def _getOldCodeLength(self):\n nb_lines = 0\n for line in self.body.splitlines():\n if not line.startswith(\"+\"):\n nb_li... | [
"0.7965521",
"0.7897408",
"0.75982934",
"0.7581331",
"0.74807435",
"0.7371733",
"0.7250094",
"0.7241558",
"0.72400385",
"0.72222334",
"0.7206555",
"0.7148526",
"0.71233124",
"0.709178",
"0.7083922",
"0.70714384",
"0.70620733",
"0.70620733",
"0.7023198",
"0.7015476",
"0.701469... | 0.68328536 | 31 |
Removes docstrings from code | def strip_docstring(blob):
docstring = True
while docstring == True:
match_docstring = re.search('\n\s*"""[^"""]*"""', blob)
if not match_docstring:
docstring = False
else:
blob = blob.replace(blob[match_docstring.span()[0]:match_docstring.span()[1]], '')
return blob | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def docstring_hack():\n pass",
"def main_docstring():",
"def undoc(func):\n return func",
"def remove_comments_and_docstrings(source):\n io_obj = StringIO(source)\n out = \"\"\n prev_toktype = tokenize.INDENT\n last_lineno = -1\n last_col = 0\n for tok in tokenize.generate_tokens(io_o... | [
"0.7418431",
"0.70061356",
"0.69807357",
"0.697398",
"0.692769",
"0.6822503",
"0.6774257",
"0.6732609",
"0.66039276",
"0.64539397",
"0.6381781",
"0.63537943",
"0.6343105",
"0.62978303",
"0.6271671",
"0.6246473",
"0.6230828",
"0.6230828",
"0.6230828",
"0.62265724",
"0.6169188"... | 0.67054003 | 8 |
Strips blank lines from the code | def strip_blanklines(blob):
lines = blob.split('\n')
return '\n'.join([line for line in lines if line.strip() != '']) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def remove_blank_lines(text):\n out_text = \"\"\n blank = True\n for line in text.splitlines(True):\n if line.isspace():\n if not blank:\n blank = True\n out_text = out_text + line\n else:\n blank = False\n out_text = out_text + ... | [
"0.7114437",
"0.70919764",
"0.7068101",
"0.68381476",
"0.6802601",
"0.6799396",
"0.6789069",
"0.66894",
"0.66618234",
"0.66358346",
"0.6598233",
"0.6583519",
"0.6565634",
"0.6527385",
"0.6515068",
"0.6499719",
"0.64757967",
"0.64706796",
"0.6467208",
"0.6441668",
"0.6440686",... | 0.68966925 | 3 |
Strips comments from the code | def strip_comments(blob, delim='#'):
lines = blob.split('\n')
return '\n'.join([line for line in lines if line.strip()[0] != delim]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _removeComments(code):\r\n # remove all occurance streamed comments (/*COMMENT */) from string\r\n text = re.sub(re.compile('/\\*.*?\\*/', re.DOTALL), '', code)\r\n # remove all occurance singleline comments (//COMMENT\\n ) from string\r\n return re.sub(re.compile('//.*?\\n'), '', t... | [
"0.75588655",
"0.75129175",
"0.749204",
"0.73860633",
"0.73546356",
"0.7324829",
"0.72374445",
"0.71416444",
"0.711339",
"0.6960461",
"0.6960461",
"0.6952356",
"0.6892819",
"0.68833077",
"0.6868674",
"0.6861091",
"0.6856785",
"0.676051",
"0.67446506",
"0.6728799",
"0.6727674"... | 0.6970854 | 9 |
Returns the total line count, nonblank line count, and net line count excluding comments and docstrings | def loc(blob, delim='#'):
total = get_line_count(blob)
blob = strip_blanklines(blob)
nonblank = get_line_count(blob)
blob = strip_docstring(blob)
blob = strip_comments(blob, delim)
net = get_line_count(blob)
num_inputs = len([m.start() for m in re.finditer('input ?\(', blob)])
return { 'total': total, 'nonblank': nonblank, 'net': net, 'num_inputs': num_inputs} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 11)",
"def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 4)",
"def test_line_count(self):\n self.assertEqual(analyze_text(self.filename)[0], 4)",
"def test_line_count(self):\n\t\tsel... | [
"0.7124473",
"0.7070284",
"0.7070284",
"0.70378745",
"0.68012744",
"0.6775583",
"0.6723244",
"0.66507286",
"0.6617019",
"0.6589754",
"0.6558442",
"0.64918953",
"0.6448747",
"0.6290716",
"0.6276412",
"0.62674546",
"0.62459767",
"0.6210425",
"0.61959755",
"0.61630034",
"0.60748... | 0.0 | -1 |
Returns the total, nonblank and net loc for all the python files in a directory | def get_folder_total(path):
files = os.listdir(path)
pythonfiles = ['%s/%s' % (path, filename) for filename in files if filename[-3:] == '.py']
total = { 'net': 0, 'total': 0, 'nonblank': 0, 'num_inputs':0 }
for filename in pythonfiles:
with open(filename, 'r') as thisfile:
blob = thisfile.read()
# print filename
thisloc = loc(blob)
for k, v in thisloc.items():
total[k] += v
return total | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def loc():\n file_types = (\n ['Python', 'py', '#']\n )\n\n click.echo('Lines of code\\n-------------')\n\n click.echo(\"{0}: {1}\".format(file_types[0], count_locs(file_types[1],\n file_types[2])))\n\n return None",
"def analyze_file... | [
"0.63941246",
"0.6148792",
"0.5896523",
"0.5792946",
"0.56846035",
"0.5674842",
"0.56738776",
"0.56557024",
"0.5595728",
"0.55465335",
"0.55265635",
"0.5509024",
"0.5490125",
"0.54562646",
"0.53724253",
"0.53600603",
"0.53305817",
"0.5296591",
"0.52905095",
"0.52354455",
"0.5... | 0.6992177 | 0 |
Returns the total, nonblank and net loc for all the python files in a directory | def get_num_unique_programs_and_users(path, scenarios):
unique_programs = set()
valid_u_ids = set()
for scenario in scenarios:
valid_u_ids.add(scenario[0]["UniqueId"])
for filename in glob.iglob(path + 'PythonTutor_Input_Data_Sessions_20*/**/*.py', recursive=True):
print(filename)
x = filename[filename.rfind('/') + 1:filename.rfind('_')]
if x not in valid_u_ids: continue
with open(filename, 'r') as thisfile:
blob = thisfile.read()
unique_programs.add(blob)
valid_ips = set()
not_valid_ips = set()
count = 0
for filename in glob.iglob(path + 'PythonTutor_Input_Data_Sessions_20*/**/*.json', recursive=True):
x = filename[filename.rfind('/') + 1:filename.rfind('_a')]
if x not in valid_u_ids: continue
with open(filename, 'r') as thisfile:
blob = json.load(thisfile)
if blob["ip"] in not_valid_ips:
pass
elif blob["ip"] in valid_ips:
valid_ips.remove(blob["ip"])
count += 1
not_valid_ips.add(blob["ip"])
else:
valid_ips.add(blob["ip"])
print(count)
print(len(valid_ips))
return unique_programs | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_folder_total(path):\n files = os.listdir(path)\n pythonfiles = ['%s/%s' % (path, filename) for filename in files if filename[-3:] == '.py']\n total = { 'net': 0, 'total': 0, 'nonblank': 0, 'num_inputs':0 }\n for filename in pythonfiles:\n with open(filename, 'r') as thisfile:\n ... | [
"0.6993405",
"0.6395879",
"0.614925",
"0.5898231",
"0.57934844",
"0.5683392",
"0.56749487",
"0.56739736",
"0.56560665",
"0.559616",
"0.55468976",
"0.5527279",
"0.55094504",
"0.5491219",
"0.54559195",
"0.5373519",
"0.5360052",
"0.53304",
"0.5296416",
"0.5291369",
"0.5234145",
... | 0.0 | -1 |
Just return the version number | def _sendVersion_result (self, (code, data)) :
assert code == "REPLY_HELLO"
return data | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def version_number() -> int:\n return 0",
"def get_version():\n return '%d.%d.%d' % version_info",
"def get_version():\n return 1",
"def get_version(self):\r\n\r\n return self.versions[0].number",
"def version(self):\n a = re.search('(?<=_V)\\d{1,2}', self.fname)\n if a is Non... | [
"0.8984848",
"0.8674616",
"0.83636147",
"0.82080185",
"0.81788445",
"0.8116403",
"0.81144017",
"0.81124747",
"0.8100697",
"0.79934955",
"0.79558516",
"0.79138756",
"0.790076",
"0.78910106",
"0.7832687",
"0.7817467",
"0.7802331",
"0.7774403",
"0.77695936",
"0.77678406",
"0.776... | 0.0 | -1 |
Get the process status | def queryStatus (self) :
return self.sendCommand("CMD_IN_QUERY_STATUS", "") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def status( self ):\n duration = datetime.datetime.now() - self.startTime\n status = {\n 'start': self.startTime.isoformat(),\n 'now': datetime.datetime.now().isoformat(),\n 'duration': duration.total_seconds(),\n 'bookmark': 0,\n 'events': 0,\n ... | [
"0.751286",
"0.7507033",
"0.71039456",
"0.7082734",
"0.70624167",
"0.7023819",
"0.69908047",
"0.6980245",
"0.69734716",
"0.6922125",
"0.69144756",
"0.69109225",
"0.6907264",
"0.685191",
"0.6851395",
"0.68222255",
"0.68154085",
"0.68061125",
"0.6799114",
"0.6755627",
"0.675542... | 0.0 | -1 |
Attempt to start the process | def sendStart (self, args) :
data = streamModule.WriteBuffer()
data.writeStruct('B', len(args))
for arg in args :
data.writeVarLen('B', arg)
return self.sendCommand("CMD_IN_DO_START", data.getvalue()).addCallback(self._sendStart_result) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def Start(self):\n\n\n\n assert not self._process, 'Start() can only be called once'\n self._process = subprocess.Popen(self._args)",
"def start(self):\n self._proc = self._get_subprocess()\n self._pid = self._proc.pid\n self._return_code = None",
"def start(self):\r\n return ... | [
"0.79140174",
"0.7580194",
"0.73277956",
"0.7258669",
"0.724767",
"0.7187015",
"0.7183471",
"0.7030207",
"0.7023982",
"0.70187926",
"0.7007485",
"0.69129544",
"0.6842755",
"0.6826997",
"0.68093807",
"0.672955",
"0.66865253",
"0.6634776",
"0.6593981",
"0.6587125",
"0.6586577",... | 0.0 | -1 |
Just return the REPLY_SUCCESS | def _sendStart_result (self, (code, data)) :
assert code == "REPLY_SUCCESS"
return code | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _tunnel_success(tunnel_returncode):\n return tunnel_returncode < 0",
"def execute_success(self, *args, **kwargs):\n return 0, self.shell_output, None",
"def action_success(self, resp):\n return resp[0] in SUCCESS_CODES",
"def action_success(self, resp):\n return resp[0] in SUCCESS... | [
"0.63443524",
"0.58786947",
"0.58400226",
"0.58400226",
"0.58263105",
"0.58013785",
"0.57647425",
"0.57602125",
"0.5742646",
"0.57332826",
"0.5728719",
"0.5713388",
"0.5706354",
"0.5559924",
"0.5558752",
"0.5544535",
"0.55265385",
"0.55088335",
"0.5459527",
"0.5437543",
"0.54... | 0.56434834 | 13 |
Send data to the process's stdin | def sendData (self, data) :
assert len(data) <= 255
return self.sendCommand("CMD_IN_DATA_STDIN", data).addCallback(self._sendData_result) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def write( self, data ):\n os.write( self.stdin.fileno(), data )",
"def stdin_read(self, data):\n self.write_master(data)",
"def send_data(sock):\n while True:\n data = sys.stdin.readline()\n sock.send(data.encode())",
"def send_msg(self, msg):\n self.proc.stdin.write(ms... | [
"0.7741889",
"0.7658585",
"0.76509887",
"0.75933856",
"0.7503921",
"0.7494124",
"0.7365971",
"0.7141076",
"0.7000852",
"0.6967747",
"0.6881967",
"0.68283165",
"0.67600954",
"0.6745928",
"0.6668038",
"0.6605815",
"0.6481066",
"0.64001137",
"0.63949114",
"0.6270043",
"0.6255672... | 0.65630895 | 16 |
Send a signal to the process | def sendSignal (self, signal) :
data = streamModule.WriteBuffer()
data.writeStruct('B', signal)
return self.sendCommand("CMD_IN_DO_KILL", data.getvalue()).addCallback(self._sendSignal_result) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def send_signal(self, sig):\n os.kill(self.pid, sig)",
"def send_signal(self, signal):\n self.kill()",
"def send_signal(self, sig):\n if self.thread.is_alive():\n self.process.send_signal(sig)\n else:\n lg.warning(\"Couldn't deliver signal \"\n ... | [
"0.83821654",
"0.82537395",
"0.78793293",
"0.7300469",
"0.7116897",
"0.7112409",
"0.7100441",
"0.7099212",
"0.68905115",
"0.6861185",
"0.6853869",
"0.68038225",
"0.67226195",
"0.6577294",
"0.65427446",
"0.65303904",
"0.6520947",
"0.64594877",
"0.6416063",
"0.6404712",
"0.6392... | 0.7512397 | 3 |
update self boexes with new frame's boxes | def update(self, new_boxes):
if len(self.lengths) > self.n_frames:
# delete oldest if exceed capacity
del self.boxes[0:self.lengths[0]]
del self.lengths[0]
self.lengths.append(len(new_boxes))
self.boxes.extend(new_boxes) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def changement_frame(self):\n\n for widget in self.fenetre_scores.winfo_children():\n widget.pack_forget()\n\n for widget in self.fenetre_regles.winfo_children():\n widget.pack_forget()\n\n for widget in self.frame_jeu.winfo_children():\n widget.pack_forget()\n... | [
"0.6689228",
"0.66155696",
"0.65819746",
"0.6271218",
"0.6260631",
"0.6133513",
"0.6128093",
"0.611145",
"0.60912585",
"0.6082675",
"0.6053892",
"0.6053803",
"0.6029776",
"0.6003047",
"0.596538",
"0.5959297",
"0.5884809",
"0.58832145",
"0.5862301",
"0.5841208",
"0.58308303",
... | 0.62919223 | 3 |
detect cars on image using historical information and heatmap | def detect(self, img, thresh_hold, show=False):
heat = np.zeros_like(img[:,:,0]).astype(np.float)
# heatmap for all boxes found in last n_frames frame
heat = add_heat(heat,self.boxes)
# threshold for multiple frames
thresh = thresh_hold*len(self.lengths)
# initialization
if len(self.lengths) == 0:
thresh = thresh_hold
heat = apply_threshold(heat,thresh)
# Visualize the heatmap when displaying
heatmap = np.clip(heat, 0, 255)
# Find final boxes from heatmap using label function
labels = label(heatmap)
draw_img = draw_labeled_bboxes(np.copy(img), labels)
if show:
plot_dual(draw_img, heatmap,'Car positions','Heat Map',cm2='hot')
return draw_img | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def find_cars(img, scale):\n img_boxes = [] # Clears img_boxes so we don't keep unwanted heatmap history\n count = 0\n draw_img = np.copy(img)\n\n # Make a heatmap of zeros\n heatmap = np.zeros_like(img[:, :, 0])\n\n # IMPORTANT : reading *.jpeg's (scaled 0-255, aka scaling needed), but\n # #... | [
"0.7544776",
"0.751789",
"0.69776064",
"0.68778455",
"0.6797643",
"0.6754273",
"0.6741402",
"0.6733516",
"0.6707194",
"0.669984",
"0.66010076",
"0.65580624",
"0.65305924",
"0.6255979",
"0.6248127",
"0.62139523",
"0.6213312",
"0.6186227",
"0.6084384",
"0.6077522",
"0.6051025",... | 0.6223624 | 15 |
pipeline for new frame image | def process_image(self, img):
show = False
# draw_image = np.copy(img)
# search all scale windows and return cars' windows
hots = search_scales(img,self.svc, self.X_scaler, self.orient,
self.pix_per_cell, self.cell_per_block, self.spatial_size, self.hist_bins)
# update the self boxes
self.update(hots)
# detect cars using threshold
window_image = self.detect(img, 2)
if show:
plt.imshow(window_image)
plt.show()
return window_image | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def run_frame(self, image):\n self.frame_idx += 1\n # run main pipeline\n t0 = datetime.now()\n disp = self.main_pipeline(image)\n t1 = datetime.now()\n logging.info('main pipeline: {}'.format(get_tdiff(t0, t1)))\n \n # prepare image sequence of 3 for trajectory pipeline\n t0 = datetime.... | [
"0.70714897",
"0.68649685",
"0.67296463",
"0.6588955",
"0.65738624",
"0.65543723",
"0.65153533",
"0.6485808",
"0.6470367",
"0.6332151",
"0.62973356",
"0.6296194",
"0.62521416",
"0.62226206",
"0.62107146",
"0.62040466",
"0.6200719",
"0.61632663",
"0.6150653",
"0.6135857",
"0.6... | 0.0 | -1 |
Add axes to a subfigure. | def add_axes(self, i, j, rect, **kw):
# Get image offset in figure coordinates
irev = self.nrows - 1 - i
subfig = self.pad + self.image
offset = self.margin.bottom_left + irev*subfig.ybox + j*subfig.xbox + self.pad.bottom_left
# Convert image rect to figure rect
imstart = Box(rect[0], rect[1])
imshape = Box(rect[2], rect[3])
figstart = (offset + imstart * self.image) / self.fig
figshape = imshape * self.image / self.fig
figrect = [figstart.x, figstart.y, figshape.x, figshape.y]
return self.figure.add_axes(figrect, **kw) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def add_subplot_axes(self, ax, rect, axis_bgcolor=None):\r\n # Modified from\r\n # https://stackoverflow.com/questions/17458580/\r\n box = ax.get_position()\r\n width, height = box.width, box.height\r\n subaxes_box = [(rect[0], rect[1]),\r\n (rect[0] + rect[... | [
"0.75483835",
"0.69776756",
"0.6920952",
"0.6792715",
"0.6734505",
"0.67272097",
"0.6658397",
"0.65871996",
"0.6570815",
"0.6514838",
"0.64744306",
"0.6344331",
"0.6338495",
"0.6338495",
"0.6338495",
"0.6302795",
"0.6281416",
"0.6270343",
"0.6264229",
"0.62637293",
"0.6255154... | 0.6709672 | 6 |
Construct quadrilateral mesh arrays from two grids. Intended for use with e.g. plt.pcolor. | def quad_mesh(x, y, cut_x_edges=False, cut_y_edges=False):
# Get 1d vertex vectors
xvert = get_1d_vertices(x, cut_edges=cut_x_edges)
yvert = get_1d_vertices(y, cut_edges=cut_y_edges)
# Reshape as multidimensional vectors
xvert = reshape_vector(xvert, dim=2, axis=1)
yvert = reshape_vector(yvert, dim=2, axis=0)
# Broadcast up to arrays
xmesh = xvert * np.ones_like(yvert)
ymesh = yvert * np.ones_like(xvert)
return xmesh, ymesh | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def meshgrid(x,y):\n x = asarray(x)\n y = asarray(y)\n numRows, numCols = len(y), len(x) # yes, reversed\n x = x.reshape(1,numCols)\n X = x.repeat(numRows, axis=0)\n\n y = y.reshape(numRows,1)\n Y = y.repeat(numCols, axis=1)\n return X, Y",
"def make_meshgrid(x, y, h=.02):\r\n x_min, ... | [
"0.72705615",
"0.6971521",
"0.6954679",
"0.694505",
"0.694505",
"0.6930976",
"0.6930976",
"0.6930976",
"0.6930976",
"0.6908422",
"0.6903842",
"0.69015664",
"0.6880629",
"0.6800234",
"0.6800234",
"0.6661612",
"0.6625001",
"0.66245806",
"0.63171464",
"0.62140924",
"0.6175486",
... | 0.56618655 | 43 |
Get vertices dividing a 1d grid. | def get_1d_vertices(grid, cut_edges=False):
if len(grid.shape) > 1:
raise ValueError("grid must be 1d array.")
diff = np.diff(grid)
vert = np.zeros(grid.size+1)
# Interior vertices: halfway between points
vert[1:-1] = grid[0:-1] + diff/2
# Edge vertices: tight or reflect
if cut_edges:
vert[0] = grid[0]
vert[-1] = grid[-1]
else:
vert[0] = grid[0] - diff[0]/2
vert[-1] = grid[-1] + diff[-1]/2
return vert | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def vertices(self):\n try:\n return self._vertices\n except:\n self._vertices = [list(x) for x in self.vertex_generator()]\n return self._vertices",
"def vertices(self):\n\n if self._faces is None:\n if self._vertices is None:\n retu... | [
"0.6591957",
"0.65517676",
"0.6523746",
"0.6520511",
"0.64833",
"0.64833",
"0.64218307",
"0.6383808",
"0.6376488",
"0.63350326",
"0.6328131",
"0.63177186",
"0.6316762",
"0.6278034",
"0.6251261",
"0.6179584",
"0.61629945",
"0.6152223",
"0.61260945",
"0.6122966",
"0.6108887",
... | 0.76482964 | 0 |
Compute padded image limits for x and y grids. | def pad_limits(xgrid, ygrid, xpad=0., ypad=0., square=None):
xmin, xmax = xgrid.min(), xgrid.max()
ymin, ymax = ygrid.min(), ygrid.max()
dx = xmax - xmin
dy = ymax - ymin
x0 = xmin - xpad*dx
x1 = xmax + xpad*dx
y0 = ymin - ypad*dy
y1 = ymax + ypad*dy
if square:
axis = square
ax_position = axis.get_position()
ax_height = ax_position.height * axis.figure.get_figheight()
ax_width = ax_position.width * axis.figure.get_figwidth()
ax_aspect = ax_height / ax_width
im_height = y1 - y0
im_width = x1 - x0
im_aspect = im_height / im_width
if (im_height/im_width) > (ax_height/ax_width):
# Image too tall
extra_w = im_height/ax_aspect - im_width
x0 -= extra_w / 2
x1 += extra_w / 2
else:
# Image too wide
extra_h = im_width*ax_aspect - im_height
y0 -= extra_h / 2
y1 += extra_h / 2
return [x0, x1, y0, y1] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def compute_image_bounds(pixel_meter_size, frame, beam_width_data, additional_pixel_padding_x=0, additional_pixel_padding_y=0):\n\n # Compute the projected locations of all samples so that we can get the extent\n all_bl = []\n all_br = []\n all_fr = []\n all_fl = []\n\n for beam_num in [0, frame.... | [
"0.6500194",
"0.6199433",
"0.6105291",
"0.60281",
"0.59161913",
"0.5894251",
"0.585068",
"0.58396924",
"0.5810349",
"0.5791982",
"0.57880354",
"0.5763434",
"0.57571024",
"0.57165116",
"0.57111406",
"0.5668063",
"0.56606424",
"0.565698",
"0.56563175",
"0.5641682",
"0.5641682",... | 0.7511422 | 0 |
Select plane from dataset. Intended for use with e.g. plt.pcolor. | def get_plane(dset, xaxis, yaxis, slices, **kw):
# Build quad meshes from sorted grids
xgrid = dset.dims[xaxis][0][indices[xaxis]]
ygrid = dset.dims[yaxis][0][indices[yaxis]]
xorder = np.argsort(xgrid)
yorder = np.argsort(ygrid)
xmesh, ymesh = quad_mesh(xgrid[xorder], ygrid[yorder], **kw)
# Select and arrange data
data = dset[slices]
if xi < yi:
data = data.T
data = data[yorder]
data = data[:, xorder]
return xmesh, ymesh, data | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def GetPlane(plane):\r\n pass",
"def plane(self):\n return plane(self.N, self.o)",
"def get_plane(self, scalar, plane, pval):\n\n if plane == 'yz' or plane == 'zy':\n # z along rows, y along columns\n return scalar[:, pval, :]\n elif plane == 'xz' or plane == '... | [
"0.63480055",
"0.62466025",
"0.6210041",
"0.6181447",
"0.60752785",
"0.59501004",
"0.5885949",
"0.5844385",
"0.5806675",
"0.57641417",
"0.5717144",
"0.5657449",
"0.5650415",
"0.5615462",
"0.5605463",
"0.55464685",
"0.55369604",
"0.5516311",
"0.5514092",
"0.5510669",
"0.551001... | 0.5889004 | 6 |
Identity function for string extraction. | def _(x):
return x | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def intern(string): # real signature unknown; restored from __doc__\n return \"\"",
"def identity_tokenizer(text):\n return text",
"def identity( arg ):\n return arg",
"def identification(self):\n return remove_whitespace(self.str_without_type())",
"def test_identity(self):\n\n s = r... | [
"0.6034306",
"0.5799975",
"0.5765744",
"0.57460624",
"0.5699749",
"0.5639867",
"0.5598918",
"0.5493786",
"0.5481133",
"0.54755294",
"0.54505527",
"0.5449481",
"0.5441116",
"0.5371032",
"0.5352636",
"0.5330441",
"0.5291735",
"0.5242051",
"0.52288747",
"0.52288747",
"0.52288747... | 0.0 | -1 |
Generate a object formatter for links.. | def link(text, link_func):
def object_formatter(v, c, m, p):
"""Format object view link."""
return Markup('<a href="{0}">{1}</a>'.format(
link_func(m), text))
return object_formatter | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def object_formatter(v, c, m, p):\n return Markup('<a href=\"{0}\">{1}</a>'.format(\n link_func(m), text))",
"def __repr__(self):\n if self.rest:\n rest_repr = ', ' + repr(self.rest)\n else:\n rest_repr = ''\n return 'Link({0}{1})'.format(self.first, r... | [
"0.784745",
"0.6504912",
"0.64552146",
"0.6426217",
"0.62232155",
"0.6217698",
"0.60861593",
"0.60861593",
"0.60610193",
"0.60496616",
"0.5940354",
"0.59321237",
"0.5914688",
"0.58717525",
"0.5870953",
"0.5845969",
"0.5824419",
"0.58027077",
"0.57641745",
"0.57560444",
"0.573... | 0.72780514 | 1 |
Format object view link. | def object_formatter(v, c, m, p):
return Markup('<a href="{0}">{1}</a>'.format(
link_func(m), text)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def link(text, link_func):\n def object_formatter(v, c, m, p):\n \"\"\"Format object view link.\"\"\"\n return Markup('<a href=\"{0}\">{1}</a>'.format(\n link_func(m), text))\n return object_formatter",
"def link(self, obj):\n return format_html(\n '<a href=\"{url... | [
"0.73224676",
"0.7216829",
"0.7124374",
"0.68019325",
"0.65847546",
"0.64726907",
"0.64016116",
"0.63936055",
"0.6361755",
"0.635381",
"0.63412184",
"0.63111347",
"0.6248648",
"0.6244252",
"0.61723745",
"0.61185104",
"0.6079688",
"0.6079688",
"0.60349536",
"0.6026926",
"0.601... | 0.75110674 | 0 |
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