xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

eabb21d1966ce74869f30e3f2e3446bf01b5f6df

45

py

Python

model/__init__.py

yuranusduke/CMT-Convolutional-NN-Meets-ViT

dfc6654956a0defba7b7d8bb9e4a6f219cdb9ad5

[ "MIT" ]

13

2021-07-16T02:57:17.000Z

2021-09-02T10:19:14.000Z

model/__init__.py

yuranusduke/CMT-Convolutional-NN-Meets-ViT

dfc6654956a0defba7b7d8bb9e4a6f219cdb9ad5

[ "MIT" ]

2

2021-07-24T22:39:36.000Z

2021-08-05T11:19:47.000Z

model/__init__.py

yuranusduke/CMT-Convolutional-NN-Meets-ViT

dfc6654956a0defba7b7d8bb9e4a6f219cdb9ad5

[ "MIT" ]

3

2021-07-24T18:48:44.000Z

2021-09-02T10:19:16.000Z

from .cmt import CMT_Ti, CMT_XS, CMT_S, CMT_B

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eae4403beedf5600ca039d8db9cc72f33782ab65

96

py

Python

bitmovin_api_sdk/encoding/inputs/generic_s3/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/inputs/generic_s3/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/inputs/generic_s3/customdata/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.inputs.generic_s3.customdata.customdata_api import CustomdataApi

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5

d8002bd5ab8ea9d83f6bdb5195b4e12a023770bd

69

py

Python

digitgenerator/__init__.py

kutvonenaki/python-handwritten-digit-gen

fff19cb187beac3f1e2927a325661fe3de8b4acb

[ "MIT" ]

null

digitgenerator/__init__.py

kutvonenaki/python-handwritten-digit-gen

fff19cb187beac3f1e2927a325661fe3de8b4acb

[ "MIT" ]

null

digitgenerator/__init__.py

kutvonenaki/python-handwritten-digit-gen

fff19cb187beac3f1e2927a325661fe3de8b4acb

[ "MIT" ]

null

from .digitgenerator_main import Digitgenerator from .VAE import Vae

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d821e00d7afef158af284991512d88c38669904b

169

py

Python

ex007.py

LeoWshington/Exercicios_CursoEmVideo_Python

294d14d9aaab5e32aaf39d70b0cd1266f0b55a02

[ "MIT" ]

null

ex007.py

LeoWshington/Exercicios_CursoEmVideo_Python

294d14d9aaab5e32aaf39d70b0cd1266f0b55a02

[ "MIT" ]

null

ex007.py

LeoWshington/Exercicios_CursoEmVideo_Python

294d14d9aaab5e32aaf39d70b0cd1266f0b55a02

[ "MIT" ]

null

nota1 = float(input('Primeira nota do aluno: ')) nota2 = float(input('Segunda nota do aluno: ')) print(f'A média entre {nota1} e {nota2} é {(nota1 + nota2) / 2 :.1f}.')

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5

dc2f0854f51ceba7f37e92f3de3f3350fe848c93

10,237

py

Python

tests/tune/test_tune_IC_grid.py

mtcrawshaw/meta-world

b511885af4405715c7b35f8295cef88021a926be

[ "MIT" ]

4

2021-09-21T07:24:26.000Z

2022-03-25T00:28:33.000Z

tests/tune/test_tune_IC_grid.py

mtcrawshaw/meta

b511885af4405715c7b35f8295cef88021a926be

[ "MIT" ]

null

tests/tune/test_tune_IC_grid.py

mtcrawshaw/meta

b511885af4405715c7b35f8295cef88021a926be

[ "MIT" ]

null

""" Unit tests for IC grid search in meta/tune/tune.py. """ import os import json from typing import Dict, Any, Tuple from meta.tune.tune import tune from tests.tune.templates import resume_template IC_GRID_CONFIG_PATH = os.path.join("configs", "tune_IC_grid.json") def test_tune_IC_grid_values() -> None: """ Runs hyperparameter IC grid search and makes sure that the correct parameter combinations are used for training. """ # Load hyperparameter search config. with open(IC_GRID_CONFIG_PATH, "r") as config_file: config = json.load(config_file) # Construct expected param value intervals. param_intervals = { "initial_lr": [1e-5, 1e-3], "num_layers": [1, 8], "recurrent": [True, False], } # Run training and extract actual configs from results. results = tune(config) actual_configs = [ config_results["config"] for config_results in results["iterations"] ] # Verify configs from training. iteration = 0 best_param_vals: Dict[str, float] = {} for param_name, param_values in param_intervals.items(): param_fitnesses = {} for param_val in param_values: # Check values. for best_param_name, best_param_val in best_param_vals.items(): found, result = dict_search(actual_configs[iteration], best_param_name) assert found assert result == best_param_val # Store fitnesses for comparison. param_fitnesses[param_val] = results["iterations"][iteration]["fitness"] iteration += 1 best_param_val = dict_argmax(param_fitnesses) best_param_vals[param_name] = best_param_val def test_tune_IC_grid_metrics() -> None: """ Runs hyperparameter IC grid search and compares metrics against a saved baseline. """ # Load hyperparameter search config. with open(IC_GRID_CONFIG_PATH, "r") as config_file: config = json.load(config_file) # Modify default training config. config["base_train_config"]["baseline_metrics_filename"] = "tune_IC_grid" # Run training. tune(config) def test_tune_IC_grid_early_stop_param() -> None: """ Runs hyperparameter IC grid search until an early stop point between params. """ # Load hyperparameter search config. with open(IC_GRID_CONFIG_PATH, "r") as config_file: config = json.load(config_file) # Modify default training config to stop early. config["early_stop"] = {"param_num": 2, "val_num": 0, "trials": 0} # Run training. results = tune(config) # Check results. param_iterations = ( lambda p: p["num_values"] if "num_values" in p else len(p["choices"]) ) expected_iterations = 0 param_names = list(config["search_params"].keys()) for i in range(config["early_stop"]["param_num"]): expected_iterations += param_iterations(config["search_params"][param_names[i]]) assert len(results["iterations"]) == expected_iterations for config_results in results["iterations"]: assert len(config_results["trials"]) == config["trials_per_config"] def test_tune_IC_grid_early_stop_iteration() -> None: """ Runs hyperparameter IC grid search until an early stop point between iterations. """ # Load hyperparameter search config. with open(IC_GRID_CONFIG_PATH, "r") as config_file: config = json.load(config_file) # Modify default training config to stop early. config["early_stop"] = {"param_num": 1, "val_num": 1, "trials": 0} # Run training. results = tune(config) # Check results. param_iterations = ( lambda p: p["num_values"] if "num_values" in p else len(p["choices"]) ) expected_iterations = 0 param_names = list(config["search_params"].keys()) for i in range(config["early_stop"]["param_num"]): expected_iterations += param_iterations(config["search_params"][param_names[i]]) expected_iterations += config["early_stop"]["val_num"] assert len(results["iterations"]) == expected_iterations for config_results in results["iterations"]: assert len(config_results["trials"]) == config["trials_per_config"] def test_tune_IC_grid_early_stop_trial() -> None: """ Runs hyperparameter IC grid search until an early stop point between trials of an iteration. """ # Load hyperparameter search config. with open(IC_GRID_CONFIG_PATH, "r") as config_file: config = json.load(config_file) # Modify default training config to stop early. config["early_stop"] = {"param_num": 2, "val_num": 1, "trials": 1} # Run training. results = tune(config) # Check results. param_iterations = ( lambda p: p["num_values"] if "num_values" in p else len(p["choices"]) ) expected_iterations = 0 param_names = list(config["search_params"].keys()) for i in range(config["early_stop"]["param_num"]): expected_iterations += param_iterations(config["search_params"][param_names[i]]) expected_iterations += config["early_stop"]["val_num"] assert len(results["iterations"]) == expected_iterations for config_results in results["iterations"]: assert len(config_results["trials"]) == config["trials_per_config"] def test_tune_IC_grid_resume_iteration() -> None: """ Runs partial training, saves a checkpoint between iterations, then resumes from checkpoint and finishes training, comparing results against a non-interrupted version. """ # Set up case. save_name = "test_tune_IC_grid_resume_iteration" config_path = IC_GRID_CONFIG_PATH early_stops = [{"param_num": 1, "val_num": 1, "trials": 0}] baseline_name = "tune_IC_grid" results_name = "tune_IC_grid" # Call template. resume_template(save_name, config_path, early_stops, baseline_name, results_name) def test_tune_IC_grid_resume_trial() -> None: """ Runs partial training, saves a checkpoint between trials, then resumes from checkpoint and finishes training, comparing results against a non-interrupted version. """ # Set up case. save_name = "test_tune_IC_grid_resume_trial" config_path = IC_GRID_CONFIG_PATH early_stops = [{"param_num": 2, "val_num": 1, "trials": 1}] baseline_name = "tune_IC_grid" results_name = "tune_IC_grid" # Call template. resume_template(save_name, config_path, early_stops, baseline_name, results_name) def test_tune_IC_grid_resume_x2_iteration_x2() -> None: """ Runs partial training, saves checkpoint between iterations, resumes from checkpoint, runs more training, saves checkpoint between iterations, resumes from checkpoint and finishes training. Then compares results against a non-interrupted version. """ # Set up case. save_name = "test_tune_IC_grid_resume_x2_iteration_x2" config_path = IC_GRID_CONFIG_PATH early_stops = [ {"param_num": 1, "val_num": 0, "trials": 0}, {"param_num": 2, "val_num": 1, "trials": 0}, ] baseline_name = "tune_IC_grid" results_name = "tune_IC_grid" # Call template. resume_template(save_name, config_path, early_stops, baseline_name, results_name) def test_tune_IC_grid_resume_x2_trial_x2() -> None: """ Runs partial training, saves checkpoint between trials, resumes from checkpoint, runs more training, saves checkpoint between trials, resumes from checkpoint and finishes training. Then compares results against a non-interrupted version. """ # Set up case. save_name = "test_tune_IC_grid_resume_x2_trial_x2" config_path = IC_GRID_CONFIG_PATH early_stops = [ {"param_num": 0, "val_num": 1, "trials": 1}, {"param_num": 1, "val_num": 0, "trials": 1}, ] baseline_name = "tune_IC_grid" results_name = "tune_IC_grid" # Call template. resume_template(save_name, config_path, early_stops, baseline_name, results_name) def test_tune_IC_grid_resume_x2_iteration_trial() -> None: """ Runs partial training, saves checkpoint between iterations, resumes from checkpoint, runs more training, saves checkpoint between trials, resumes from checkpoint and finishes training. Then compares results against a non-interrupted version. """ # Set up case. save_name = "test_tune_IC_grid_resume_x2_iteration_trial" config_path = IC_GRID_CONFIG_PATH early_stops = [ {"param_num": 1, "val_num": 0, "trials": 0}, {"param_num": 2, "val_num": 0, "trials": 1}, ] baseline_name = "tune_IC_grid" results_name = "tune_IC_grid" # Call template. resume_template(save_name, config_path, early_stops, baseline_name, results_name) def test_tune_IC_grid_resume_x2_trial_iteration() -> None: """ Runs partial training, saves checkpoint between trials, resumes from checkpoint, runs more training, saves checkpoint between iterations, resumes from checkpoint and finishes training. Then compares results against a non-interrupted version. """ # Set up case. save_name = "test_tune_IC_grid_resume_x2_trial_iteration" config_path = IC_GRID_CONFIG_PATH early_stops = [ {"param_num": 0, "val_num": 1, "trials": 1}, {"param_num": 2, "val_num": 0, "trials": 0}, ] baseline_name = "tune_IC_grid" results_name = "tune_IC_grid" # Call template. resume_template(save_name, config_path, early_stops, baseline_name, results_name) def dict_argmax(d: Dict[Any, Any]) -> Any: """ Compute argmax for a dictionary with numerical values. """ argmax = None best_val = None for arg, val in d.items(): if argmax is None or val > best_val: argmax = arg best_val = val return argmax def dict_search(d: Dict[str, Any], key: str) -> Tuple[bool, Any]: """ Recursively search through a dictionary to find the value corresponding to ``key``. """ for k, v in d.items(): if k == key: return True, v elif isinstance(v, dict): found, result = dict_search(v, key) if found: return True, result return False, None

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dc39e808967c7cc1679fc3017b5929b1087076a9

843

py

Python

addons/odoo_view_advanced/controllers/controllers.py

stivenramireza/advanced-odoo-views

dc51ae8fdd622b1307a15d2f4ed65d8aff20abd8

[ "MIT" ]

null

addons/odoo_view_advanced/controllers/controllers.py

stivenramireza/advanced-odoo-views

dc51ae8fdd622b1307a15d2f4ed65d8aff20abd8

[ "MIT" ]

null

addons/odoo_view_advanced/controllers/controllers.py

stivenramireza/advanced-odoo-views

dc51ae8fdd622b1307a15d2f4ed65d8aff20abd8

[ "MIT" ]

1

2021-05-09T07:25:12.000Z

# from odoo import http # class OdooModelAdvanced(http.Controller): # @http.route('/odoo_view_advanced/odoo_view_advanced/', auth='public') # def index(self, **kw): # return "Hello, world" # @http.route('/odoo_view_advanced/odoo_view_advanced/objects/', auth='public') # def list(self, **kw): # return http.request.render('odoo_view_advanced.listing', { # 'root': '/odoo_view_advanced/odoo_view_advanced', # 'objects': http.request.env['odoo_view_advanced.odoo_view_advanced'].search([]), # }) # @http.route('/odoo_view_advanced/odoo_view_advanced/objects/<model("odoo_view_advanced.odoo_view_advanced"):obj>/', auth='public') # def object(self, obj, **kw): # return http.request.render('odoo_view_advanced.object', { # 'object': obj # })

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dc41afe0d1238d2b51c4843c38a0ef05ac4012a9

38

py

Python

onmt/ape/models/__init__.py

aeceou/OpenNAPE-py

9ee9126f85be40b3e83c58ebd58ea56aeaa06a4d

[ "MIT" ]

1

2021-09-17T05:33:37.000Z

onmt/ape/models/__init__.py

aeceou/OpenNAPE-py

9ee9126f85be40b3e83c58ebd58ea56aeaa06a4d

[ "MIT" ]

null

onmt/ape/models/__init__.py

aeceou/OpenNAPE-py

9ee9126f85be40b3e83c58ebd58ea56aeaa06a4d

[ "MIT" ]

null

"""Module defining models for APE."""

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5

dc629357cb9f51d3438da1eb261219f75df7766f

10,827

py

Python

flask_tutorial/tests/test_rummikub.py

nadbot/rummikubSolver

c4aab6e6a3ba2ee50b01e57a818a489ed09e50ce

[ "MIT" ]

null

flask_tutorial/tests/test_rummikub.py

nadbot/rummikubSolver

c4aab6e6a3ba2ee50b01e57a818a489ed09e50ce

[ "MIT" ]

null

flask_tutorial/tests/test_rummikub.py

nadbot/rummikubSolver

c4aab6e6a3ba2ee50b01e57a818a489ed09e50ce

[ "MIT" ]

null

# import flask_tutorial.rummikub.rummikub as r from flask_tutorial.rummikub.Player import Player import flask_tutorial.rummikub.rummikub_functions as rf import pytest def test_piece_stack(): """ Test that tests whether the piece stack is working properly """ piece_stack = rf.create_piece_stack() items = [] for i in range(0, 106): item = rf.get_random_chip(piece_stack) # test that each item is different assert item not in items items.append(item) assert len(piece_stack) == 105 - i assert len(piece_stack) == 0 def test_draw(): piece_stack = rf.create_piece_stack() player = Player(0, 'Player0', []) player.draw(rf.get_random_chip(piece_stack)) assert len(player.hand) == 1 player.draw(rf.get_random_chip(piece_stack)) assert len(player.hand) == 2 def test_correct_move(): gameboard = [[(1, 'black', 0), (1, 'yellow', 0), (1, 'blue', 0)]] new_gameboard = [[(1, 'black', 0), (1, 'yellow', 0), (1, 'blue', 0), (1, 'red', 0)]] correct = rf.correct_move(gameboard, new_gameboard, [(1, 'red', 0)]) assert correct gameboard = [[(1, 'black', 0), (1, 'yellow', 0), (1, 'blue', 0)], [(2, 'blue', 0), (3, 'blue', 1), (4, 'blue', 0)]] new_gameboard = [[(1, 'black', 0), (1, 'yellow', 0), (1, 'blue', 0), (1, 'red', 0)], [(2, 'blue', 0), (3, 'blue', 1), (4, 'blue', 0)]] correct = rf.correct_move(gameboard, new_gameboard, [(1, 'red', 0)]) assert correct gameboard = [] new_gameboard = [[(2, 'blue', 0), (3, 'blue', 1), (4, 'blue', 0)]] correct = rf.correct_move(gameboard, new_gameboard, [(2, 'blue', 0), (3, 'blue', 1), (4, 'blue', 0)]) assert correct # testcases that should be failing # adding less than 3 items gameboard = [] new_gameboard = [[(2, 'blue', 0), (3, 'blue', 1)]] correct = rf.correct_move(gameboard, new_gameboard, [(2, 'blue', 0), (3, 'blue', 1)]) assert not correct # adding more items than new one gameboard = [] new_gameboard = [[(2, 'blue', 0), (3, 'blue', 1), (4, 'blue', 0)]] correct = rf.correct_move(gameboard, new_gameboard, [(2, 'blue', 0), (3, 'blue', 1)]) assert not correct def test_move_go_out(): # TODO pass def test_move_add_single_chip_to_three_of_kind(): player = Player(0, 'Player_test', [(1, 'red', 0)]) player.entered_game = True gameboard = [[(1, 'black', 0), (1, 'yellow', 0), (1, 'blue', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'black', 0), (1, 'blue', 0), (1, 'yellow', 0), (1, 'red', 0)]]) def test_move_add_single_chip_to_street(): player = Player(0, 'Player_test', [(4, 'red', 0)]) player.entered_game = True gameboard = [[(5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(4, 'red', 0), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]]) # check that it does not work if color is different player = Player(0, 'Player_test', [(4, 'blue', 0)]) player.entered_game = True gameboard = [[(5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert not modified_gameboard # check that it works when other chip with same value is used player = Player(0, 'Player_test', [(4, 'red', 1)]) player.entered_game = True gameboard = [[(5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(4, 'red', 1), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]]) # check different street player = Player(0, 'Player_test', [(1, 'red', 0)]) player.entered_game = True gameboard = [[(2, 'red', 0), (3, 'red', 0), (4, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0), (4, 'red', 0)]]) # check appending at end player = Player(0, 'Player_test', [(4, 'red', 0)]) player.entered_game = True gameboard = [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0), (4, 'red', 0)]]) def test_splitting_street(): # does not work if exactly same chip is used twice player = Player(0, 'Player_test', [(4, 'red', 1)]) player.entered_game = True gameboard = [[(2, 'red', 0), (3, 'red', 0), (4, 'red', 0), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(2, 'red', 0), (3, 'red', 0), (4, 'red', 0)], [(4, 'red', 1), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]]) \ or equals(street, [[(2, 'red', 0), (3, 'red', 0), (4, 'red', 1)], [(4, 'red', 0), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0)]]) def test_street_from_three_of_kinds(): player = Player(0, 'Player_test', [(4, 'red', 0)]) player.entered_game = True gameboard = [[(1, 'red', 0), (1, 'black', 0), (1, 'blue', 0)], [(2, 'red', 0), (2, 'black', 0), (2, 'blue', 0)], [(3, 'red', 0), (3, 'black', 0), (3, 'blue', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0), (4, 'red', 0)], [(1, 'black', 0), (2, 'black', 0), (3, 'black', 0)], [(1, 'blue', 0), (2, 'blue', 0), (3, 'blue', 0)]]) # having 4 three of a kind player = Player(0, 'Player_test', [(4, 'red', 0)]) player.entered_game = True gameboard = [[(1, 'red', 0), (1, 'black', 0), (1, 'blue', 0), (1, 'yellow', 0)], [(2, 'red', 0), (2, 'black', 0), (2, 'blue', 0), (2, 'yellow', 0)], [(3, 'red', 0), (3, 'black', 0), (3, 'blue', 0), (3, 'yellow', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0), (4, 'red', 0)], [(1, 'black', 0), (2, 'black', 0), (3, 'black', 0)], [(1, 'blue', 0), (2, 'blue', 0), (3, 'blue', 0)], [(1, 'yellow', 0), (2, 'yellow', 0), (3, 'yellow', 0)]]) def test_three_of_kinds_from_streets(): player = Player(0, 'Player_test', [(3, 'yellow', 0)]) player.entered_game = True gameboard = [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0)], [(1, 'black', 0), (2, 'black', 0), (3, 'black', 0)], [(1, 'blue', 0), (2, 'blue', 0), (3, 'blue', 0)], [(1, 'yellow', 0), (2, 'yellow', 0), (3, 'yellow', 1)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (1, 'black', 0), (1, 'blue', 0)], [(2, 'red', 0), (2, 'black', 0), (2, 'blue', 0)], [(3, 'red', 0), (3, 'black', 0), (3, 'blue', 0), (3, 'yellow', 0)], [(1, 'yellow', 0), (2, 'yellow', 0), (3, 'yellow', 1)]]) def test_add_two_chips(): player = Player(0, 'Player_test', [(4, 'red', 0), (5, 'red', 0)]) player.entered_game = True gameboard = [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0), (4, 'red', 0), (5, 'red', 0)]]) player = Player(0, 'Player_test', [(5, 'red', 0), (4, 'red', 0)]) player.entered_game = True gameboard = [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0), (4, 'red', 0), (5, 'red', 0)]]) def test_add_two_chips_extra_items(): player = Player(0, 'Player_test', [(5, 'red', 0), (8, 'red', 0), (4, 'red', 0), (11, 'red', 0)]) player.entered_game = True gameboard = [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0)]] street, modified_gameboard, added = rf.move(player, gameboard) assert equals(street, [[(1, 'red', 0), (2, 'red', 0), (3, 'red', 0), (4, 'red', 0), (5, 'red', 0)]]) def test_move(): # TODO # TODO test the following: Why is there no 2,3,4,5??? # [[(9, 'black', 1), (9, 'blue', 0), (9, 'red', 0), (9, 'yellow', 1)], # [(9, 'red', 1), (9, 'black', 1), (9, 'blue', 0), (9, 'yellow', 1)], # [(9, 'blue', 0), (9, 'red', 0), (9, 'yellow', 1)], # [(9, 'black', 1), (9, 'red', 0), (9, 'yellow', 1)], # [(9, 'black', 1), (9, 'blue', 0), (9, 'yellow', 1)], # [(9, 'black', 1), (9, 'blue', 0), (9, 'red', 0)], # [(9, 'red', 1), (9, 'blue', 0), (9, 'yellow', 1)], # [(9, 'red', 1), (9, 'black', 1), (9, 'yellow', 1)], # [(9, 'red', 1), (9, 'black', 1), (9, 'blue', 0)], # [(1, 'red', 1), (2, 'red', 1), (3, 'red', 0), (4, 'red', 0), # (5, 'red', 0), (6, 'red', 0), (7, 'red', 0), (8, 'red', 0), (9, 'red', 0)], # [(4, 'red', 0), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0), (8, 'red', 0), (9, 'red', 0)], # [(5, 'red', 0), (6, 'red', 0), (7, 'red', 0), (8, 'red', 0), (9, 'red', 0)], # [(5, 'red', 1), (6, 'red', 0), (7, 'red', 0), (8, 'red', 0), (9, 'red', 0)], # [(1, 'red', 1), (2, 'red', 1), (3, 'red', 0), (4, 'red', 0), (5, 'red', 0), # (6, 'red', 0), (7, 'red', 0), (8, 'red', 0)], # [(4, 'red', 0), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0), (8, 'red', 0)], # [(5, 'red', 0), (6, 'red', 0), (7, 'red', 0), (8, 'red', 0)], # [(5, 'red', 1), (6, 'red', 0), (7, 'red', 0), (8, 'red', 0)], # [(4, 'red', 0), (5, 'red', 0), (6, 'red', 0), (7, 'red', 0)], # [(5, 'red', 1), (6, 'red', 0), (7, 'red', 0)], # [(1, 'red', 1), (2, 'red', 1), (3, 'red', 0), (4, 'red', 0), (5, 'red', 0), (6, 'red', 0)], # [(4, 'red', 0), (5, 'red', 0), (6, 'red', 0)], # [(1, 'red', 1), (2, 'red', 1), (3, 'red', 0), (4, 'red', 0), (5, 'red', 0)], # [(1, 'red', 1), (2, 'red', 1), (3, 'red', 0), (4, 'red', 0)], # [(1, 'red', 1), (2, 'red', 1), (3, 'red', 0)]] pass def equals(a, b): a.sort() b.sort() if len(a) != len(b): return False for element_a, element_b in zip(a, b): if type(element_a) == list and type(element_b) == list: element_a.sort() element_b.sort() if len(element_a) != len(element_b): return False for item_a, item_b in zip(element_a, element_b): if item_a != item_b: return False else: if element_a != element_b: return False return True

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3.170412

0.080524

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0.027564

0.036228

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0.137255

0

null

0

1

0

null

0

5

dc8ff3d602fcbbb1e4062a77c99adb027ecf2668

155

py

Python

project/urls.py

CONABIO-audio/irekua-autocomplete

fc8b31f86d8b51f172d25e7987af4d70cdf22e2c

[ "BSD-4-Clause" ]

null

project/urls.py

CONABIO-audio/irekua-autocomplete

fc8b31f86d8b51f172d25e7987af4d70cdf22e2c

[ "BSD-4-Clause" ]

11

2020-04-26T23:56:07.000Z

2022-03-12T00:03:40.000Z

project/urls.py

CONABIO-audio/irekua-autocomplete

fc8b31f86d8b51f172d25e7987af4d70cdf22e2c

[ "BSD-4-Clause" ]

null

from django.conf.urls import url from django.conf.urls import include urlpatterns = [ url(r'^autocomplete/', include('irekua_autocomplete.urls')), ]

19.375

64

0.741935

20

155

5.7

0.55

0.175439

0.245614

0.315789

0.421053

0

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155

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22.142857

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1

0

null

0

1

0

5

dcadf524b968fac3b9c7200f822cdb0665735b9c

129

py

Python

codebase/sys.argv.py

0sifr/comparachecksum

2ea51a1457779bfbbb239f0b8a7576ce762bd738

[ "MIT" ]

null

codebase/sys.argv.py

0sifr/comparachecksum

2ea51a1457779bfbbb239f0b8a7576ce762bd738

[ "MIT" ]

null

codebase/sys.argv.py

0sifr/comparachecksum

2ea51a1457779bfbbb239f0b8a7576ce762bd738

[ "MIT" ]

null

from pprint import pprint import sys folder = [sys.argv[1], sys.argv[2]] print(len(sys.argv)) print(folder[0]) print(folder[1])

18.428571

36

0.713178

23

129

4

0.478261

0.228261

0

0.034783

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129

6

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21.5

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0

false

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0.333333

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0.333333

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null

1

0

1

0

null

0

1

0

1

0

5

f4986b038f4a7e145b2e2b608cea0f58ed9ff88c

86

py

Python

Formatters/__init__.py

Tamilarasan-Aruchamy/stream-bms-data-AkshayUHegde

040070eab4fdf4ffb800212005d3ffa17fcfd74f

[ "MIT" ]

null

Formatters/__init__.py

Tamilarasan-Aruchamy/stream-bms-data-AkshayUHegde

040070eab4fdf4ffb800212005d3ffa17fcfd74f

[ "MIT" ]

null

Formatters/__init__.py

Tamilarasan-Aruchamy/stream-bms-data-AkshayUHegde

040070eab4fdf4ffb800212005d3ffa17fcfd74f

[ "MIT" ]

1

2021-06-13T16:54:06.000Z

from .CustomFormatter import CustomFormatter from .JSONFormatter import JSONFormatter

28.666667

44

0.883721

8

86

9.5

0.5

0

0.093023

86

2

45

43

0.974359

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f49baba8d37fc058af033c6db83b0c43db8354b9

81

py

Python

honeywell_hpma115s0/__init__.py

FEEprojects/honeywell-hpma115s0

917a51834e06cf61514afd53be75839c97ee4f06

[ "MIT" ]

6

2019-01-24T10:57:59.000Z

2021-03-16T20:25:41.000Z

honeywell_hpma115s0/__init__.py

FEEprojects/honeywell-hpma115s0

917a51834e06cf61514afd53be75839c97ee4f06

[ "MIT" ]

null

honeywell_hpma115s0/__init__.py

FEEprojects/honeywell-hpma115s0

917a51834e06cf61514afd53be75839c97ee4f06

[ "MIT" ]

3

2019-05-16T08:49:14.000Z

2019-12-18T16:09:55.000Z

from .honeywell_hpma115s0 import HoneywellReading, Honeywell, HoneywellException

40.5

80

0.888889

7

81

10.142857

0.857143

0

0.053333

0.074074

81

1

81

0.893333

0

1

0

true

0

1

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1

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1

null

0

1

0

null

0

1

0

1

0

5

7605c442ec6d3bb08fc83d78127cc809e9dcfa59

281

py

Python

gcloud/rest/core/__init__.py

gunjanswitchco/gcloud-rest

bf6af906880c25500d8e76b5ce3f807968185780

[ "MIT" ]

null

gcloud/rest/core/__init__.py

gunjanswitchco/gcloud-rest

bf6af906880c25500d8e76b5ce3f807968185780

[ "MIT" ]

null

gcloud/rest/core/__init__.py

gunjanswitchco/gcloud-rest

bf6af906880c25500d8e76b5ce3f807968185780

[ "MIT" ]

null

from pkg_resources import get_distribution __version__ = get_distribution('gcloud-rest').version from gcloud.rest.core.util import backoff from gcloud.rest.core.util import decode from gcloud.rest.core.util import encode __all__ = ['__version__', 'backoff', 'decode', 'encode']

28.1

56

0.793594

38

281

5.473684

0.394737

0.192308

0.201923

0.259615

0.403846

0

0.099644

281

9

57

31.222222

0.822134

0

0.145907

0

1

0

false

0

0.666667

0

0.666667

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null

0

1

0

1

0

null

0

1

0

1

0

5

bfe46ad1e1fb5564cdc88728d108c88b0e4a3944

42

py

Python

Test.py

JMoraza/TodayILearned

b65c6ad5046f76cd3fa0e611bce8e03b4881aff7

[ "MIT" ]

null

Test.py

JMoraza/TodayILearned

b65c6ad5046f76cd3fa0e611bce8e03b4881aff7

[ "MIT" ]

null

Test.py

JMoraza/TodayILearned

b65c6ad5046f76cd3fa0e611bce8e03b4881aff7

[ "MIT" ]

null

print('Hello!') print('I am new here!')

8.4

23

0.595238

7

42

3.571429

0.857143

0

0.166667

42

4

24

10.5

0.714286

0

0.487805

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

bffd8c59a7afac46612d69a928454349044ef015

37

py

Python

botx/bots/mixins/__init__.py

ExpressApp/pybotx

97c8b1ce5d45a05567ed01d545cb43174a2dcbb9

[ "MIT" ]

13

2021-01-21T12:43:10.000Z

2022-03-23T11:11:59.000Z

botx/bots/mixins/__init__.py

ExpressApp/pybotx

97c8b1ce5d45a05567ed01d545cb43174a2dcbb9

[ "MIT" ]

259

2020-02-26T08:51:03.000Z

2022-03-23T11:08:36.000Z

botx/bots/mixins/__init__.py

ExpressApp/pybotx

97c8b1ce5d45a05567ed01d545cb43174a2dcbb9

[ "MIT" ]

5

2019-12-02T16:19:22.000Z

2021-11-22T20:33:34.000Z

"""Definition for mixins for bot."""

18.5

36

0.675676

5

37

5

0.8

0

0.135135

37

1

37

0.78125

0.810811

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

871fdb7ccf5381d973382b6b194bf536e157c5f4

131

py

Python

scrach.py

ecoresystems/distributed_system_course_project

aabce71861bb6ce19c7f3f280fa73d2fa90160b3

[ "MIT" ]

null

scrach.py

ecoresystems/distributed_system_course_project

aabce71861bb6ce19c7f3f280fa73d2fa90160b3

[ "MIT" ]

2

2020-07-19T12:21:06.000Z

2021-03-10T06:54:55.000Z

scrach.py

ecoresystems/distributed_system_course_project

aabce71861bb6ce19c7f3f280fa73d2fa90160b3

[ "MIT" ]

null

import time start_time = time.time() for i in range(10000): print(i) eof = time.time()-start_time print(eof) print(type(eof))

14.555556

28

0.694656

23

131

3.869565

0.478261

0.269663

0.292135

0

0.045045

0.152672

131

9

29

14.555556

0.756757

0

1

0

false

0

0.142857

0

0.142857

0.428571

1

0

null

1

0

1

0

null

0

1

0

5

874d4b1d14d4d89360351b7cb6f00a96c7833570

90

py

Python

python/compat/PaxHeaders.47482/argparse.py

xiaobinglu/openvswitch

b206a49997a51909d73fd5c11784c17aa885f76b

[ "Apache-2.0" ]

null

python/compat/PaxHeaders.47482/argparse.py

xiaobinglu/openvswitch

b206a49997a51909d73fd5c11784c17aa885f76b

[ "Apache-2.0" ]

null

python/compat/PaxHeaders.47482/argparse.py

xiaobinglu/openvswitch

b206a49997a51909d73fd5c11784c17aa885f76b

[ "Apache-2.0" ]

null

30 mtime=1440116301.986479262 30 atime=1440176559.433245607 30 ctime=1440177385.097311129

22.5

29

0.866667

12

90

6.5

0.833333

0

0.75

0.066667

90

3

30

0.178571

0

null

0

null

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

5e897d27da8ea9a88bd3d5c136b2eb844f650ad2

302

py

Python

src/tf_restore_helper/__init__.py

dogfish182/tf-restore-helper

51b5c45d5c9e012bcce33db3f4c0355010113f55

[ "MIT" ]

null

src/tf_restore_helper/__init__.py

dogfish182/tf-restore-helper

51b5c45d5c9e012bcce33db3f4c0355010113f55

[ "MIT" ]

191

2021-05-03T18:29:39.000Z

2022-03-29T10:18:33.000Z

src/tf_restore_helper/__init__.py

dogfish182/tf-restore-helper

51b5c45d5c9e012bcce33db3f4c0355010113f55

[ "MIT" ]

null

"""Tf Restore Helper.""" from .tf_restore_helper import get_aws_client from .tf_restore_helper import TerraformImportData from .tf_restore_helper import Workload # This is to 'use' the module(s), so lint doesn't complain __all__ = ["get_aws_client", "setup_logger", "TerraformImportData", "Workload"]

37.75

79

0.788079

43

302

5.186047

0.581395

0.161435

0.269058

0.255605

0.336323

0

0.109272

302

7

80

43.142857

0.828996

0.251656

0

0.240909

0

1

0

false

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

0d7f670af7b8c0980815d8cd4a6159b6ff57d028

1,758

py

Python

tests/test_waitgroup.py

juv-shun/py-waitgroup

aec39bed8faab30339a4b826235ba4dec1052e6e

[ "MIT" ]

null

tests/test_waitgroup.py

juv-shun/py-waitgroup

aec39bed8faab30339a4b826235ba4dec1052e6e

[ "MIT" ]

null

tests/test_waitgroup.py

juv-shun/py-waitgroup

aec39bed8faab30339a4b826235ba4dec1052e6e

[ "MIT" ]

null

import multiprocessing as multi import threading import unittest import waitgroup class WaitGroupProcessTest(unittest.TestCase): def setUp(self): self.wg = waitgroup.WaitGroupProcess() def test_add(self): self.wg.add() self.assertEqual(self.wg.count.value, 1) self.wg.add() self.assertEqual(self.wg.count.value, 2) def test_done(self): self.wg.count.value = 10 self.wg.done() self.assertEqual(self.wg.count.value, 9) self.wg.done() self.assertEqual(self.wg.count.value, 8) def test_wait(self): self.wg.count.value = 3 multi.Process(target=self._decrease_count).start() self.wg.wait() self.assertEqual(self.wg.count.value, 0) def _decrease_count(self): import time time.sleep(2) with self.wg.condition: self.wg.count.value = 0 self.wg.condition.notify_all() class WaitGroupThreadTest(unittest.TestCase): def setUp(self): self.wg = waitgroup.WaitGroupThread() def test_add(self): self.wg.add() self.assertEqual(self.wg.count, 1) self.wg.add() self.assertEqual(self.wg.count, 2) def test_done(self): self.wg.count = 10 self.wg.done() self.assertEqual(self.wg.count, 9) self.wg.done() self.assertEqual(self.wg.count, 8) def test_wait(self): self.wg.count = 3 threading.Thread(target=self._decrease_count).start() self.wg.wait() self.assertEqual(self.wg.count, 0) def _decrease_count(self): import time time.sleep(2) with self.wg.condition: self.wg.count = 0 self.wg.condition.notify_all()

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0.333333

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null

0

1

0

null

0

5

0d82e0795ccaa1d275f69aaa1c0133be3e15b820

143

py

Python

app_odoo_customize/models/__init__.py

masami10/centron_addons

e0fe82965cce285868d84c8ad698634e1478c399

[ "MIT" ]

1

2021-03-03T07:00:14.000Z

app_odoo_customize/models/__init__.py

masami10/centron_addons

e0fe82965cce285868d84c8ad698634e1478c399

[ "MIT" ]

null

app_odoo_customize/models/__init__.py

masami10/centron_addons

e0fe82965cce285868d84c8ad698634e1478c399

[ "MIT" ]

1

2020-06-30T03:31:07.000Z

# -*- coding: utf-8 -*- import ir_ui_view import app_theme_config_settings import base_language_install import mail_thread import res_company

17.875

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1

0

1

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5

0da9f645c72e0b170f4b09ffc6188adcd35f8e7e

248

py

Python

src/back/model/admin.py

circleTreeF/2020_GRP_Team17

e29bac4f5de54d34049da6549c82fefab3c016f5

[ "MIT" ]

null

src/back/model/admin.py

circleTreeF/2020_GRP_Team17

e29bac4f5de54d34049da6549c82fefab3c016f5

[ "MIT" ]

null

src/back/model/admin.py

circleTreeF/2020_GRP_Team17

e29bac4f5de54d34049da6549c82fefab3c016f5

[ "MIT" ]

null

from django.contrib import admin from .models import NormalRoadTemplate, AbnormalRoadTemplate # Register your models here. admin.site.register(NormalRoadTemplate) admin.site.register(AbnormalRoadTemplate) # admin.site.register(BadPointsTemplates)

31

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0.850806

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null

0

1

0

1

0

5

218ab5cc842968d7e5133cd6497a40e2045761d3

332

py

Python

flask/test/data/box_state.py

spaudanjo/boxtribute

c29311a38721277a07b5e1dbcf36cf12bcd8b727

[ "Apache-2.0" ]

3

2020-10-17T06:37:10.000Z

2021-06-08T16:58:38.000Z

flask/test/data/box_state.py

spaudanjo/boxtribute

c29311a38721277a07b5e1dbcf36cf12bcd8b727

[ "Apache-2.0" ]

166

2020-10-25T20:45:32.000Z

2022-03-28T08:18:26.000Z

flask/test/data/box_state.py

spaudanjo/boxtribute

c29311a38721277a07b5e1dbcf36cf12bcd8b727

[ "Apache-2.0" ]

4

2021-01-01T18:03:57.000Z

2022-03-10T08:43:23.000Z

import pytest from boxwise_flask.models.box_state import BoxState def default_box_state_data(): mock_box_state = {"id": 1, "label": "1"} return mock_box_state @pytest.fixture() def default_box_state(): return default_box_state_data() def create_default_box_state(): BoxState.create(**default_box_state_data())

19.529412

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null

1

0

null

0

1

0

1

0

5

219075796b3ea5307a3fe4c99d597c8d615f5d2a

42

py

Python

tests/__init__.py

Daem0n-th/videofy

73dadb1ef25a5515dd9db94bc4fd7a45fa0fe4dd

[ "MIT" ]

1

2021-08-03T17:00:42.000Z

tests/__init__.py

Daem0n-th/videofy

73dadb1ef25a5515dd9db94bc4fd7a45fa0fe4dd

[ "MIT" ]

59

2021-08-09T15:26:52.000Z

2022-03-30T12:21:40.000Z

tests/__init__.py

Daem0n-th/videofy

73dadb1ef25a5515dd9db94bc4fd7a45fa0fe4dd

[ "MIT" ]

1

2021-08-08T16:29:30.000Z

"""Test suite for the videofy package."""

21

41

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42

4.833333

1

0

0.142857

42

1

42

0.805556

0.833333

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

21a71c25782a4d2393b82d4461aca08f22757104

450

py

Python

__init__.py

bambu/binaryninja-machosymbols

8f9e127eae903c39abe3a92b862c057a203ab6e2

[ "MIT" ]

7

2017-05-21T16:49:31.000Z

2021-04-06T04:17:37.000Z

__init__.py

bambu/binaryninja-machosymbols

8f9e127eae903c39abe3a92b862c057a203ab6e2

[ "MIT" ]

1

2019-07-04T20:12:09.000Z

__init__.py

bambu/binaryninja-machosymbols

8f9e127eae903c39abe3a92b862c057a203ab6e2

[ "MIT" ]

2

2017-05-19T18:52:27.000Z

2017-06-21T04:18:28.000Z

from binaryninja import PluginCommand import macho_symbols PluginCommand.register( 'Mach-O Bind symbols', 'Generate bind symbols', macho_symbols.generate_bind_symbols ) PluginCommand.register( 'Mach-O Selrefs symbols', 'Generate selrefs symbols', macho_symbols.generate_selrefs ) PluginCommand.register( 'Mach-O Objc function symbols', 'Generate objc function symbols', macho_symbols.generate_function_names )

20.454545

41

0.76

50

450

6.66

0.3

0.27027

0.225225

0.234234

0.198198

0

0.166667

450

21

42

21.428571

0.888

0

0.176471

1

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0.32

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1

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true

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0

null

1

0

1

0

null

0

1

0

5

21b54727fb1956393be9be8a91c2c14cc75bd954

51

py

Python

heaphopper/analysis/__init__.py

angr/heaphopper

fa0efa8e71908bd05cd07a2ac0c73dbc5d445ae1

[ "BSD-2-Clause" ]

185

2018-08-05T03:03:47.000Z

2022-02-15T06:32:22.000Z

heaphopper/analysis/__init__.py

angr/heaphopper

fa0efa8e71908bd05cd07a2ac0c73dbc5d445ae1

[ "BSD-2-Clause" ]

11

2018-08-06T11:09:07.000Z

2020-07-14T05:26:23.000Z

heaphopper/analysis/__init__.py

angr/heaphopper

fa0efa8e71908bd05cd07a2ac0c73dbc5d445ae1

[ "BSD-2-Clause" ]

19

2018-08-05T03:03:50.000Z

2022-02-24T10:44:00.000Z

from .tracer import * from .identify_bins import *

17

28

0.764706

7

51

5.428571

0.714286

0

0.156863

51

2

29

25.5

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true

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null

0

1

0

1

0

1

0

5

21dd5052fd31f18713d48426c0b2a133d6cd4db3

77

py

Python

python/joinPath.py

mattiasholm/powershell

41212c9e0fbf81dbae3e39751d593be46662e098

[ "MIT" ]

2

2018-06-15T16:16:41.000Z

2018-08-29T09:40:20.000Z

python/joinPath.py

mattiasholm/powershell

41212c9e0fbf81dbae3e39751d593be46662e098

[ "MIT" ]

null

python/joinPath.py

mattiasholm/powershell

41212c9e0fbf81dbae3e39751d593be46662e098

[ "MIT" ]

null

#!/usr/bin/env python3 import os print(os.path.join('~', 'repos', 'code'))

12.833333

41

0.623377

12

77

4

0.916667

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0.014706

0.116883

77

5

42

15.4

0.691176

0.272727

0

0.181818

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true

0

0.5

0

0.5

1

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null

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0

null

0

1

0

1

0

1

0

5

0dfbb9dc57d1d68b8e3a8ca46ead3bd4e27503ed

126

py

Python

src/engine/SCons/__main__.py

moroten/scons

20927b42ed4f0cb87f51287fa3b4b6cf915afcf8

[ "MIT" ]

171

2019-11-08T07:24:03.000Z

2022-03-31T13:06:03.000Z

src/engine/SCons/__main__.py

moroten/scons

20927b42ed4f0cb87f51287fa3b4b6cf915afcf8

[ "MIT" ]

702

2019-11-12T11:23:37.000Z

2022-03-31T11:04:26.000Z

src/engine/SCons/__main__.py

moroten/scons

20927b42ed4f0cb87f51287fa3b4b6cf915afcf8

[ "MIT" ]

43

2019-11-12T22:04:24.000Z

2022-02-27T14:32:48.000Z

import SCons.Script # this does all the work, and calls sys.exit # with the proper exit status when done. SCons.Script.main()

25.2

44

0.761905

22

126

4.363636

0.818182

0.229167

0

0.15873

126

4

45

31.5

0.90566

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1

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true

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1

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null

0

1

0

1

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5

df00b433b11f21a2aeeb0a6d15402f50c0a54d33

159

py

Python

TheAttendance/attendanceApp/admin.py

cmadisonne/AttendanceTracker

885f14d6bc2bc21b7c9f568c6e6fe6f6daf6d75e

[ "Apache-2.0" ]

null

TheAttendance/attendanceApp/admin.py

cmadisonne/AttendanceTracker

885f14d6bc2bc21b7c9f568c6e6fe6f6daf6d75e

[ "Apache-2.0" ]

null

TheAttendance/attendanceApp/admin.py

cmadisonne/AttendanceTracker

885f14d6bc2bc21b7c9f568c6e6fe6f6daf6d75e

[ "Apache-2.0" ]

null

from django.contrib import admin # Register your models here. from .models import clockIn,clockOut admin.site.register(clockIn) admin.site.register(clockOut)

22.714286

36

0.81761

22

159

5.909091

0.545455

0.138462

0.261538

0

0.100629

159

7

37

22.714286

0.909091

0.163522

0

1

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true

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null

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1

0

null

0

1

0

1

0

5

df6bc129f34589ef55c92880d7d39f89311b5bd2

108

py

Python

src/demo/demo.py

synxlin/Chinese_speech_recognition

035f87ffbb7de4eb0b35ce247ff20fa52132b8ff

[ "MIT" ]

10

2018-08-16T09:06:19.000Z

2021-10-14T07:39:08.000Z

src/demo/demo.py

synxlin/Chinese_speech_recognition

035f87ffbb7de4eb0b35ce247ff20fa52132b8ff

[ "MIT" ]

2

2018-05-24T07:30:57.000Z

2018-07-14T01:40:49.000Z

src/demo/demo.py

synxlin/Chinese_speech_recognition

035f87ffbb7de4eb0b35ce247ff20fa52132b8ff

[ "MIT" ]

1

2019-03-12T01:39:33.000Z

#/usr/bin/env python #-*- coding: utf-8 -*- import os import sys import ui.main ui.main.app.run()

12

23

0.611111

18

108

3.666667

0.777778

0.181818

0

0.011765

0.212963

108

8

24

13.5

0.764706

0.37037

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

10bf05d356b0b36b5b545e62dda4bc169fa8f288

3,350

py

Python

old_algs/agentv6_alg.py

tomarbeiter/yahtzee-rl

51b09ca059740e798061fdeb31cda2b56255ca07

[ "Apache-2.0" ]

null

old_algs/agentv6_alg.py

tomarbeiter/yahtzee-rl

51b09ca059740e798061fdeb31cda2b56255ca07

[ "Apache-2.0" ]

null

old_algs/agentv6_alg.py

tomarbeiter/yahtzee-rl

51b09ca059740e798061fdeb31cda2b56255ca07

[ "Apache-2.0" ]

null

from yahtzee_singleV5 import YahtzeeSinglePlayerV5 import math from agentv6 import AgentV6 import time env = YahtzeeSinglePlayerV5() agent = AgentV6(1, 0.99, 0.99) # Main algorithm for i in range(1, 10001): if i < 1000: agent.eps = 1 else: # eps decay agent.eps = math.exp(-0.00025 * i + 0.25) if i >= 9900: agent.eps = 0.05 done = False first_roll = True time1 = time.perf_counter() while done is False: turns_left = env.ytz.remaining_turns # Player must roll all 5 dice on first roll of each turn if first_roll: new_state, possible_actions, reward, done, debug = env.step(76, agent.action_space, agent.state_space) new_action = agent.get_action(env.ytz, new_state, possible_actions) agent.update_q(76, 516096, new_action, new_state, reward) action = new_action state = new_state first_roll = False else: new_state, possible_actions, reward, done, debug = env.step(action, agent.action_space, agent.state_space) new_action = agent.get_action(env.ytz, new_state, possible_actions) # if it isn't scoring, update as usual if action >= 13: agent.update_q(action, state, new_action, new_state, reward) action = new_action state = new_state # If it is scoring, new_state and new_action are junk else: agent.update_q(action, state, 76, 516096, reward) if turns_left > env.ytz.remaining_turns: first_roll = True time2 = time.perf_counter() print(time2 - time1) agent.scores.append(env.ytz.c_player.score) agent.iterations.append(i) env.reset() # Data output agent.max_score = max(agent.scores) agent.games_played = agent.iterations[-1] agent.avg_score = sum(agent.scores) / agent.games_played agent.last_avg_score = sum(agent.scores[-100:]) / 100 agent.write_data("./data/agentv6/envV5/100kv1.txt") agent.generate_plot("./data/agentv6/envV5/100kv1.png") agent.eps = 0 done = False first_roll = True while done is False: turns_left = env.ytz.remaining_turns # Player must roll all 5 dice on first roll of each turn if first_roll: new_state, possible_actions, reward, done, debug = env.step(76, agent.action_space, agent.state_space) new_action = agent.get_action(env.ytz, new_state, possible_actions) agent.update_q(76, 946176, new_action, new_state, reward) action = new_action state = new_state first_roll = False else: new_state, possible_actions, reward, done, debug = env.step(agent.action_space[action], agent.action_space, agent.state_space) new_action = agent.get_action(env.ytz, new_state, possible_actions) # if it isn't scoring, update as usual if action >= 13: agent.update_q(action, state, new_action, new_state, reward) action = new_action state = new_state # If it is scoring, new_state and new_action are junk else: agent.update_q(action, state, 76, 516096, reward) if turns_left > env.ytz.remaining_turns: first_roll = True agent.scores.append(env.ytz.c_player.score) agent.iterations.append(i) env.reset()

38.068182

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470

3,350

4.459574

0.217021

0.068702

0.061069

0.087786

0.781011

0.744275

0.71374

0

0.04257

0.256716

3,350

88

135

38.068182

0.799197

0.096716

0

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0

0.02055

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1

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false

0

0.054795

0

0.054795

0.013699

0

null

0

1

0

null

0

5

10f799d276892bb3a0572f7e1c3782922396aac3

17

py

Python

Python Programs/helloAll.py

fe2o3Akshay/letshack

a72a29f8916731765efa518ba9cf54f102e2bc97

[ "MIT" ]

8

2020-10-02T15:20:45.000Z

2020-10-13T07:00:05.000Z

Python Programs/helloAll.py

fe2o3Akshay/letshack

a72a29f8916731765efa518ba9cf54f102e2bc97

[ "MIT" ]

6

2020-10-04T05:39:31.000Z

2020-10-17T12:32:51.000Z

Python Programs/helloAll.py

fe2o3Akshay/letshack

a72a29f8916731765efa518ba9cf54f102e2bc97

[ "MIT" ]

96

2020-10-04T04:55:56.000Z

2020-10-30T09:56:05.000Z

print("helloAll")

17

0.764706

2

17

6.5

1

0

17

1

17

0.764706

0

0.444444

0

1

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true

0

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0

null

0

1

0

null

0

1

0

1

0

5

10fe304fcfb91af06d9e571f30c27cb0c3ebcbf8

242

py

Python

bandit/algorithms/BaseBanditAlgorithm.py

MarcoAlmada/bandit-panda

787b8f8ea41e318a54c5c1db160801e4ff201383

[ "MIT" ]

6

2016-04-09T14:46:51.000Z

2019-04-16T21:46:58.000Z

bandit/algorithms/BaseBanditAlgorithm.py

MarcoAlmada/bandit-panda

787b8f8ea41e318a54c5c1db160801e4ff201383

[ "MIT" ]

null

bandit/algorithms/BaseBanditAlgorithm.py

MarcoAlmada/bandit-panda

787b8f8ea41e318a54c5c1db160801e4ff201383

[ "MIT" ]

1

2019-11-16T17:34:12.000Z

class BaseBanditAlgorithm(): def initialize(self, n_arms): raise NotImplementedError() def select_arm(self): raise NotImplementedError() def update(self, chosen_arm, reward): raise NotImplementedError()

22

41

0.681818

23

242

7.043478

0.608696

0.444444

0.333333

0

0.231405

242

10

42

24.2

0.870968

0

0.428571

0

1

0.428571

false

0

0.571429

0

1

0

null

1

0

null

0

1

0

1

0

5

800570638e12579e43230fa844b27361d3290ae7

23

py

Python

aict_tools/scripts/__init__.py

LukasBeiske/aict-tools

ccf61c051c58040cf4b676180ae7184021d1b81b

[ "MIT" ]

4

2018-10-05T14:34:47.000Z

2021-01-22T11:57:26.000Z

aict_tools/scripts/__init__.py

LukasBeiske/aict-tools

ccf61c051c58040cf4b676180ae7184021d1b81b

[ "MIT" ]

48

2018-05-14T12:48:12.000Z

2021-05-24T10:58:46.000Z

aict_tools/scripts/__init__.py

fact-project/classifier-tools

ee091fc933110ff008e32df02ee12a97e412e8b3

[ "MIT" ]

7

2018-08-20T13:45:44.000Z

2021-07-14T13:13:59.000Z

# put executables here

11.5

22

0.782609

3

23

6

1

0

0.173913

23

1

23

0.947368

0.869565

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

8026dc3542fabc9e1ddf46ca9fa5822f3836ba89

395

py

Python

class coding itc255/item.py

cagunning/itc255_class_coding1

81364b80886afdf771c1938493dc9eed8b412452

[ "Apache-2.0" ]

null

class coding itc255/item.py

cagunning/itc255_class_coding1

81364b80886afdf771c1938493dc9eed8b412452

[ "Apache-2.0" ]

null

class coding itc255/item.py

cagunning/itc255_class_coding1

81364b80886afdf771c1938493dc9eed8b412452

[ "Apache-2.0" ]

null

class Item(): def __init__(self, itemnum, itemname, itemprice): self.itemnum=itemnum self.itemname=itemname self.itemprice=itemprice def getItemNumber(self): return self.itemnum def getItemName(self): return self.itemname def getItemPrice(self): return self.itemprice def __str__(self): return self.itemname

23.235294

53

0.635443

41

395

5.926829

0.317073

0.164609

0.230453

0.18107

0

0.286076

395

17

54

23.235294

0.861702

0

0.153846

0

1

0.384615

false

0

0.307692

0.769231

0

null

0

1

0

null

0

1

0

1

0

5

803133a491aa861836482043b41326370aaa097e

347

py

Python

ipython/startup/import_statsmodels.py

dycw/dotfiles2

9e23c4989e9813080da3658a8f98dbb1e03776f2

[ "MIT" ]

null

ipython/startup/import_statsmodels.py

dycw/dotfiles2

9e23c4989e9813080da3658a8f98dbb1e03776f2

[ "MIT" ]

null

ipython/startup/import_statsmodels.py

dycw/dotfiles2

9e23c4989e9813080da3658a8f98dbb1e03776f2

[ "MIT" ]

null

from contextlib import suppress with suppress(ModuleNotFoundError): import statsmodels # noqa: F401 import statsmodels.api as sm # noqa: F401 from statsmodels.regression.linear_model import OLS # noqa: F401 from statsmodels.tsa.ar_model import AutoReg # noqa: F401 from statsmodels.tsa.stattools import acf # noqa: F401

34.7

69

0.752161

44

347

5.886364

0.477273

0.15444

0.138996

0.266409

0.200772

0

0.053381

0.190202

347

9

70

38.555556

0.868327

0.15562

0

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true

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0.857143

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0.857143

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null

0

1

0

1

0

1

0

5

803b8cb9bbd20d5f1280c9e7a9d67ee9f3172ac2

95

py

Python

colors.py

compmonk/playlister

5dac6ec9108cb2f2f4e960cabe6a8cb4f10d9931

[ "MIT" ]

1

2017-09-16T05:00:08.000Z

colors.py

compmonk/playlister

5dac6ec9108cb2f2f4e960cabe6a8cb4f10d9931

[ "MIT" ]

null

colors.py

compmonk/playlister

5dac6ec9108cb2f2f4e960cabe6a8cb4f10d9931

[ "MIT" ]

null

class bcolors: INFO = '\033[92m' WARNING = '\033[93m' ERROR = '\033[91m' RESET = '\033[0m'

15.833333

21

0.589474

14

95

4

0.785714

0

0.246753

0.189474

95

5

22

19

0.480519

0

0.326316

0

1

0

false

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

804b67d0cf2be4b1446d37eea6c11638ebbb03ec

3,615

py

Python

src/frontend/views/contributions_view.py

sanderland/katago-server

6414fab080d007c05068a06ff4f25907b92848bd

[ "MIT" ]

null

src/frontend/views/contributions_view.py

sanderland/katago-server

6414fab080d007c05068a06ff4f25907b92848bd

[ "MIT" ]

null

src/frontend/views/contributions_view.py

sanderland/katago-server

6414fab080d007c05068a06ff4f25907b92848bd

[ "MIT" ]

null

from django.views.generic import ListView from django.shortcuts import get_object_or_404 from django.db.models import Sum from src.apps.games.models import GameCountByUser, RecentGameCountByUser, DayGameCountByUser from src.apps.runs.models import Run from . import view_utils class ContributionsView(ListView): template_name = "pages/contributions.html" context_object_name = "all_time_user_list" def get_queryset(self): return \ GameCountByUser \ .objects \ .all() \ .values("username") \ .annotate( total_num_training_rows=Sum("total_num_training_rows"), total_num_training_games=Sum("total_num_training_games"), total_num_rating_games=Sum("total_num_rating_games"), ) \ .order_by("-total_num_training_rows") def get_context_data(self, **kwargs): context = super().get_context_data(**kwargs) context["has_multiple_runs"] = Run.objects.count() > 1 context["top_recent_user_list"] = ( RecentGameCountByUser \ .objects \ .all() \ .values("username") \ .annotate( total_num_training_rows=Sum("total_num_training_rows"), total_num_training_games=Sum("total_num_training_games"), total_num_rating_games=Sum("total_num_rating_games"), ) \ .order_by("-total_num_training_rows") .all()[:30] ) context["top_day_user_list"] = ( DayGameCountByUser \ .objects \ .all() \ .values("username") \ .annotate( total_num_training_rows=Sum("total_num_training_rows"), total_num_training_games=Sum("total_num_training_games"), total_num_rating_games=Sum("total_num_rating_games"), ) \ .order_by("-total_num_training_rows") .all()[:30] ) return context class ContributionsByRunView(ListView): template_name = "pages/contributions_by_run.html" context_object_name = "all_time_user_list" def get_queryset(self): self.run = get_object_or_404(Run, name=self.kwargs["run"]) self.current_run = Run.objects.select_current_or_latest() return \ GameCountByUser \ .objects \ .filter(run=self.run) \ .values("username") \ .annotate( total_num_training_rows=Sum("total_num_training_rows"), total_num_training_games=Sum("total_num_training_games"), total_num_rating_games=Sum("total_num_rating_games"), ) \ .order_by("-total_num_training_rows") def get_context_data(self, **kwargs): context = super().get_context_data(**kwargs) context["top_recent_user_list"] = ( RecentGameCountByUser \ .objects \ .filter(run=self.run) \ .values("username") \ .annotate( total_num_training_rows=Sum("total_num_training_rows"), total_num_training_games=Sum("total_num_training_games"), total_num_rating_games=Sum("total_num_rating_games"), ) \ .order_by("-total_num_training_rows") .all()[:30] ) context["top_day_user_list"] = ( DayGameCountByUser \ .objects \ .filter(run=self.run) \ .values("username") \ .annotate( total_num_training_rows=Sum("total_num_training_rows"), total_num_training_games=Sum("total_num_training_games"), total_num_rating_games=Sum("total_num_rating_games"), ) \ .order_by("-total_num_training_rows") .all()[:30] ) context["run"] = self.run context["current_run"] = self.current_run context["is_older_run"] = self.run != self.current_run context["show_older_runs"] = Run.objects.count() > 1 return context

31.99115

92

0.676625

436

3,615

5.178899

0.16055

0.148804

0.212578

0.159433

0.779008

0.706377

0.669619

0

0.005556

0.20332

3,615

112

93

32.276786

0.778472

0

0.792079

0

0.230152

0.169571

0

1

0.039604

false

0

0.059406

0.009901

0.19802

0

null

0

1

0

1

0

1

0

1

0

null

0

5

33c2d50474eaa0e6654d9405407f66bdd735515e

169

py

Python

tracker/app/api/__init__.py

JelteF/bottor

3a6a1ba7fe90c0989c585e9cd01fcc0393b726ae

[ "MIT" ]

4

2015-05-24T17:30:30.000Z

2017-11-27T20:25:53.000Z

tracker/app/api/__init__.py

JelteF/bottor

3a6a1ba7fe90c0989c585e9cd01fcc0393b726ae

[ "MIT" ]

null

tracker/app/api/__init__.py

JelteF/bottor

3a6a1ba7fe90c0989c585e9cd01fcc0393b726ae

[ "MIT" ]

null

"""__init__.py - API's.""" from .peer import peer_api from .matrix import matrix_api from .upload import upload_api from .task import task_api from .job import job_api

21.125

30

0.769231

29

169

4.172414

0.37931

0.231405

0

0.142012

169

7

31

24.142857

0.834483

0.118343

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

33d235667371e2e55707741b00e4183b1b985c4f

39

py

Python

pyxa/cli/commands/project_template/__init__.py

xames3/pyxa

7d15b403c5f71efe4fba5bbeb5666bd7f44db3c6

[ "Apache-2.0" ]

1

2019-05-12T14:29:55.000Z

charlotte/__init__.py

xames3/charlotte

6df0a20824ab228fcce748842c4a570d29d39d74

[ "Apache-2.0" ]

1

2019-12-12T16:29:52.000Z

2019-12-13T07:20:07.000Z

charlotte/utils/__init__.py

xames3/charlotte

6df0a20824ab228fcce748842c4a570d29d39d74

[ "Apache-2.0" ]

2

2019-11-10T11:17:05.000Z

2020-06-25T12:31:19.000Z

# Wow. You're too curious, aren't you?

19.5

38

0.666667

8

39

3.25

0.875

0

0.179487

39

1

39

0.8125

0.923077

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

33ed8db6a7c94a6376b4e68a76330e6bcc7caa2e

28,857

py

Python

fairseq_ext/amr_spec/old_action_info_binarize.py

IBM/transition-amr-parser

dfd8352ea2ee3ff153b691edb6cd7ee541d53b2e

[ "Apache-2.0" ]

76

2019-11-25T04:00:15.000Z

2022-03-31T00:33:44.000Z

fairseq_ext/amr_spec/old_action_info_binarize.py

IBM/transition-amr-parser

dfd8352ea2ee3ff153b691edb6cd7ee541d53b2e

[ "Apache-2.0" ]

22

2019-10-10T09:39:24.000Z

2022-03-28T06:39:06.000Z

fairseq_ext/amr_spec/old_action_info_binarize.py

IBM/transition-amr-parser

dfd8352ea2ee3ff153b691edb6cd7ee541d53b2e

[ "Apache-2.0" ]

20

2019-10-08T17:02:17.000Z

2022-03-20T01:43:42.000Z

import os import itertools from multiprocessing import Pool import time import torch import numpy as np from tqdm import tqdm from transition_amr_parser.action_pointer.o8_state_machine import AMRStateMachine from .action_info import get_actions_states from ..tokenizer import tokenize_line_tab from ..binarize import make_builder # TODO move this to data folder from ..data.data_utils import load_indexed_dataset from ..utils import time_since # reference: fairseq binarizer.py def safe_readline(f): pos = f.tell() while True: try: return f.readline() except UnicodeDecodeError: pos -= 1 f.seek(pos) # search where this character begins # a class implementation to allow for multiprocessing class ActionStatesBinarizer: def __init__(self, actions_dict): self.actions_dict = actions_dict self.canonical_actions = AMRStateMachine.canonical_actions self.canonical_act_ids = AMRStateMachine.canonical_action_to_dict(actions_dict) def binarize(self, en_file, actions_file, consumer, tokenize=tokenize_line_tab, en_offset=0, en_end=-1, actions_offset=0, actions_end=-1): # NOTE here we scan two files, and their sizes are different, thus we need to have different offsets for them # (and make sure the file positions match) when we process part of files in multiprocessing if tokenize is None: tokenize = tokenize_line_tab with open(en_file, 'r', encoding='utf-8') as f, open(actions_file, 'r', encoding='utf-8') as g: f.seek(en_offset) # next(f) breaks f.tell(), hence readline() must be used line = safe_readline(f) g.seek(actions_offset) actions = safe_readline(g) count = 0 start = time.time() while line: if en_end > 0 and f.tell() > en_end: assert actions_end > 0 and g.tell() > actions_end break actions_states = get_actions_states(tokens=tokenize(line), actions=tokenize(actions)) # construct actions states tensors allowed_cano_actions = actions_states['allowed_cano_actions'] vocab_mask = torch.zeros(len(allowed_cano_actions), len(self.actions_dict), dtype=torch.uint8) for i, act_allowed in enumerate(allowed_cano_actions): # vocab_ids_allowed = list(set().union(*[set(canonical_act_ids[act]) for act in act_allowed])) # this is a bit faster than above vocab_ids_allowed = list( itertools.chain.from_iterable( [self.canonical_act_ids[act] for act in act_allowed] ) ) vocab_mask[i][vocab_ids_allowed] = 1 actions_nodemask = torch.tensor(actions_states['actions_nodemask'], dtype=torch.uint8) token_cursors = torch.tensor(actions_states['token_cursors']) # graph structure information actions_edge_mask = torch.tensor(actions_states['actions_edge_mask'], dtype=torch.uint8) actions_edge_cur_node = torch.tensor(actions_states['actions_edge_cur_node']) actions_edge_pre_node = torch.tensor(actions_states['actions_edge_pre_node']) actions_edge_direction = torch.tensor(actions_states['actions_edge_direction']) consumer(vocab_mask, actions_nodemask, token_cursors, actions_edge_mask, actions_edge_cur_node, actions_edge_pre_node, actions_edge_direction) count += 1 if count % 1000 == 0: print(f'\r processed {count} en-actions pairs (time: {time_since(start)})', end='') line = f.readline() actions = g.readline() print('') # return any useful statistics return {} @staticmethod def find_offsets_paired(en_filename, actions_filename, num_chunks): """Find the file offsets of two files which are paired line by line; the offsets must match.""" with open(en_filename, 'r', encoding='utf-8') as f, open(actions_filename, 'r', encoding='utf-8') as g: nlines_en = sum(1 for line in f) nlines_actions = sum(1 for line in g) assert nlines_en == nlines_actions chunk_nlines = nlines_en // num_chunks en_offsets = [0 for _ in range(num_chunks + 1)] actions_offsets = [0 for _ in range(num_chunks + 1)] f.seek(0) g.seek(0) for i in range(1, num_chunks): for j in range(chunk_nlines): safe_readline(f) safe_readline(g) en_offsets[i] = f.tell() actions_offsets[i] = g.tell() return en_offsets, actions_offsets @staticmethod def find_offsets(filename, num_chunks): """Only works for a single file; chunks are divided by file size (#bytes).""" with open(filename, 'r', encoding='utf-8') as f: size = os.fstat(f.fileno()).st_size chunk_size = size // num_chunks offsets = [0 for _ in range(num_chunks + 1)] for i in range(1, num_chunks): f.seek(chunk_size * i) safe_readline(f) offsets[i] = f.tell() return offsets # same functionality as above, but without design for multiprocessing def get_actions_states_file(en_file, actions_file, actions_dict, consumer=None, canonical_act_ids=None, tokenize=None): """Build actions information such as masks for restricted action space, masks for node generating actions, token cursor positions, etc. Save them into binary files. Args: en_file (str): English sentence file path. actions_file (str): actions file path. actions_dict (fairseq.data.Dict): action word dictionary. canonical_act_ids (dict): a dictionary mapping from canonical action names to ids in the action word vocabulary. tokenize (callable): a function to tokenize a line of string to a list of tokens. Note: - the states for each action sequence include the last CLOSE action, which will be removed if eos token is not appended at the end of each sequence. """ tgt_vocab_masks = [] # a list of 2-D tensors of size (seq_len, tgt_vocab_size) tgt_actnode_masks = [] # a list of 1-D tensors of size (seq_len,) tgt_src_cursors = [] # a list of 1-D tensors of size (seq_len,) # graph structure tgt_actedge_masks = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_cur_nodes = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_pre_nodes = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_directions = [] # a list of 1-D tensors of size (seq_len,) if canonical_act_ids is None: assert actions_dict is not None canonical_act_ids = AMRStateMachine.canonical_action_to_dict(actions_dict) if tokenize is None: def tokenize(line): return line.strip().split('\t') with open(en_file, 'r') as f, open(actions_file, 'r') as g: for tokens, actions in tqdm(zip(f, g)): if tokens.strip(): tokens = tokenize(tokens) actions = tokenize(actions) assert tokens[-1] == '<ROOT>' actions_states = get_actions_states(tokens=tokens, actions=actions) # construct actions states tensors allowed_cano_actions = actions_states['allowed_cano_actions'] vocab_mask = torch.zeros(len(allowed_cano_actions), len(actions_dict), dtype=torch.uint8) for i, act_allowed in enumerate(allowed_cano_actions): # vocab_ids_allowed = list(set().union(*[set(canonical_act_ids[act]) for act in act_allowed])) # this is a bit faster than above vocab_ids_allowed = list( itertools.chain.from_iterable( [canonical_act_ids[act] for act in act_allowed] ) ) vocab_mask[i][vocab_ids_allowed] = 1 tgt_vocab_masks.append(vocab_mask) actions_nodemask = torch.tensor(actions_states['actions_nodemask'], dtype=torch.uint8) tgt_actnode_masks.append(actions_nodemask) token_cursors = torch.tensor(actions_states['token_cursors']) tgt_src_cursors.append(token_cursors) # graph structure information actions_edge_mask = torch.tensor(actions_states['actions_edge_mask'], dtype=torch.uint8) actions_edge_cur_node = torch.tensor(actions_states['actions_edge_cur_node']) actions_edge_pre_node = torch.tensor(actions_states['actions_edge_pre_node']) actions_edge_direction = torch.tensor(actions_states['actions_edge_direction']) tgt_actedge_masks.append(actions_edge_mask) tgt_actedge_cur_nodes.append(actions_edge_cur_node) tgt_actedge_pre_nodes.append(actions_edge_pre_node) tgt_actedge_directions.append(actions_edge_direction) if consumer is not None: consumer(vocab_mask, actions_nodemask, token_cursors, actions_edge_mask, actions_edge_cur_node, actions_edge_pre_node, actions_edge_direction) return tgt_vocab_masks, tgt_actnode_masks, tgt_src_cursors, \ tgt_actedge_masks, tgt_actedge_cur_nodes, tgt_actedge_pre_nodes, tgt_actedge_directions def binarize_actstates_tolist(en_file, actions_file, actions_dict=None, tokenize=tokenize_line_tab, action_state_binarizer=None, en_offset=0, en_end=-1, actions_offset=0, actions_end=-1): """Get the action states and save to lists.""" tgt_vocab_masks = [] # a list of 2-D tensors of size (seq_len, tgt_vocab_size) tgt_actnode_masks = [] # a list of 1-D tensors of size (seq_len,) tgt_src_cursors = [] # a list of 1-D tensors of size (seq_len,) # graph structure tgt_actedge_masks = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_cur_nodes = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_pre_nodes = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_directions = [] # a list of 1-D tensors of size (seq_len,) def consumer(vocab_mask, actions_nodemask, token_cursors, actions_edge_mask, actions_edge_cur_node, actions_edge_pre_node, actions_edge_direction): tgt_vocab_masks.append(vocab_mask) tgt_actnode_masks.append(actions_nodemask) tgt_src_cursors.append(token_cursors) # graph structure tgt_actedge_masks.append(actions_edge_mask) tgt_actedge_cur_nodes.append(actions_edge_cur_node) tgt_actedge_pre_nodes.append(actions_edge_pre_node) tgt_actedge_directions.append(actions_edge_direction) return if action_state_binarizer is None: assert actions_dict is not None action_state_binarizer = ActionStatesBinarizer(actions_dict) action_state_binarizer.binarize(en_file, actions_file, consumer, tokenize=tokenize, en_offset=en_offset, en_end=en_end, actions_offset=actions_offset, actions_end=actions_end) # OR (for the same results, but should not be used when the function is called for multiprocessing) # _ = get_actions_states_file(en_file, actions_file, actions_dict, consumer=consumer, tokenize=tokenize) return tgt_vocab_masks, tgt_actnode_masks, tgt_src_cursors, \ tgt_actedge_masks, tgt_actedge_cur_nodes, tgt_actedge_pre_nodes, tgt_actedge_directions # TODO not working for num_workers > 1: need to figure out how to properly return tensor values from Pool def binarize_actstates_tolist_workers(en_file, actions_file, actions_dict=None, action_state_binarizer=None, tokenize=tokenize_line_tab, num_workers=1): """Get the action states and save to binary files, allowing multiprocessing to speed up.""" print('-' * 100) print(f'Generate and process action states information (number of workers: {num_workers}):') print(f'[English sentence file: {en_file}]') print(f'[AMR actions file: {actions_file}]') print('processing ...', end=' ') start = time.time() en_offsets, actions_offsets = ActionStatesBinarizer.find_offsets_paired(en_file, actions_file, num_workers) if action_state_binarizer is None: assert actions_dict is not None action_state_binarizer = ActionStatesBinarizer(actions_dict) pool = None # multiprocessing if num_workers > 1: pool = Pool(processes=num_workers - 1) res = [] for worker_id in range(1, num_workers): res.append(pool.apply_async( binarize_actstates_tolist, ( en_file, actions_file, actions_dict, tokenize, action_state_binarizer, en_offsets[worker_id], en_offsets[worker_id + 1], actions_offsets[worker_id], actions_offsets[worker_id + 1] ), )) pool.close() # main process tgt_vocab_masks = [] # a list of 2-D tensors of size (seq_len, tgt_vocab_size) tgt_actnode_masks = [] # a list of 1-D tensors of size (seq_len,) tgt_src_cursors = [] # a list of 1-D tensors of size (seq_len,) # graph structure tgt_actedge_masks = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_cur_nodes = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_pre_nodes = [] # a list of 1-D tensors of size (seq_len,) tgt_actedge_directions = [] # a list of 1-D tensors of size (seq_len,) def consumer(vocab_mask, actions_nodemask, token_cursors, actions_edge_mask, actions_edge_cur_node, actions_edge_pre_node, actions_edge_direction): tgt_vocab_masks.append(vocab_mask) tgt_actnode_masks.append(actions_nodemask) tgt_src_cursors.append(token_cursors) # graph structure tgt_actedge_masks.append(actions_edge_mask) tgt_actedge_cur_nodes.append(actions_edge_cur_node) tgt_actedge_pre_nodes.append(actions_edge_pre_node) tgt_actedge_directions.append(actions_edge_direction) return action_state_binarizer.binarize(en_file, actions_file, consumer, tokenize=tokenize, en_offset=0, en_end=en_offsets[1], actions_offset=0, actions_end=actions_offsets[1]) # merge the files from multiple workers to the main process if num_workers > 1: pool.join() for worker_id in range(1, num_workers): import pdb pdb.set_trace() # tgt_vocab_masks += res[worker_id - 1].get()[0] # tgt_actnode_masks += res[worker_id - 1].get()[1] # tgt_src_cursors += res[worker_id - 1].get()[2] # tgt_actedge_masks += res[worker_id - 1].get()[3] # tgt_actedge_cur_nodes += res[worker_id - 1].get()[4] # tgt_actedge_pre_nodes += res[worker_id - 1].get()[5] # tgt_actedge_directions += res[worker_id - 1].get()[6] print('finished !') print(f'Processed data saved to lists.') print(f'Total time elapsed: {time_since(start)}') print('-' * 100) return tgt_vocab_masks, tgt_actnode_masks, tgt_src_cursors, \ tgt_actedge_masks, tgt_actedge_cur_nodes, tgt_actedge_pre_nodes, tgt_actedge_directions def binarize_actstates_tofile(en_file, actions_file, out_file_pref, actions_dict=None, impl='mmap', tokenize=tokenize_line_tab, action_state_binarizer=None, en_offset=0, en_end=-1, actions_offset=0, actions_end=-1): """Get the action states and save to binary files.""" out_file_tgt_vocab_masks = out_file_pref + '.vocab_masks' + '.bin' index_file_tgt_vocab_masks = out_file_pref + '.vocab_masks' + '.idx' out_file_tgt_actnode_masks = out_file_pref + '.actnode_masks' + '.bin' index_file_tgt_actnode_masks = out_file_pref + '.actnode_masks' + '.idx' out_file_tgt_src_cursors = out_file_pref + '.src_cursors' + '.bin' index_file_tgt_src_cursors = out_file_pref + '.src_cursors' + '.idx' # graph structure out_file_tgt_actedge_masks = out_file_pref + '.actedge_masks' + '.bin' index_file_tgt_actedge_masks = out_file_pref + '.actedge_masks' + '.idx' out_file_tgt_actedge_cur_nodes = out_file_pref + '.actedge_cur_nodes' + '.bin' index_file_tgt_actedge_cur_nodes = out_file_pref + '.actedge_cur_nodes' + '.idx' out_file_tgt_actedge_pre_nodes = out_file_pref + '.actedge_pre_nodes' + '.bin' index_file_tgt_actedge_pre_nodes = out_file_pref + '.actedge_pre_nodes' + '.idx' out_file_tgt_actedge_directions = out_file_pref + '.actedge_directions' + '.bin' index_file_tgt_actedge_directions = out_file_pref + '.actedge_directions' + '.idx' ds_tgt_vocab_masks = make_builder(out_file_tgt_vocab_masks, impl=impl, dtype=np.uint8) ds_tgt_actnode_masks = make_builder(out_file_tgt_actnode_masks, impl=impl, dtype=np.uint8) ds_tgt_src_cursors = make_builder(out_file_tgt_src_cursors, impl=impl, dtype=np.int64) # graph structure ds_tgt_actedge_masks = make_builder(out_file_tgt_actedge_masks, impl=impl, dtype=np.uint8) ds_tgt_actedge_cur_nodes = make_builder(out_file_tgt_actedge_cur_nodes, impl=impl, dtype=np.int64) ds_tgt_actedge_pre_nodes = make_builder(out_file_tgt_actedge_pre_nodes, impl=impl, dtype=np.int64) ds_tgt_actedge_directions = make_builder(out_file_tgt_actedge_directions, impl=impl, dtype=np.int64) def consumer(vocab_mask, actions_nodemask, token_cursors, actions_edge_mask, actions_edge_cur_node, actions_edge_pre_node, actions_edge_direction): ds_tgt_vocab_masks.add_item(vocab_mask.view(-1)) # NOTE here we flatten the 2-D tensor ds_tgt_actnode_masks.add_item(actions_nodemask) ds_tgt_src_cursors.add_item(token_cursors) # graph structure ds_tgt_actedge_masks.add_item(actions_edge_mask) ds_tgt_actedge_cur_nodes.add_item(actions_edge_cur_node) ds_tgt_actedge_pre_nodes.add_item(actions_edge_pre_node) ds_tgt_actedge_directions.add_item(actions_edge_direction) return if action_state_binarizer is None: assert actions_dict is not None action_state_binarizer = ActionStatesBinarizer(actions_dict) action_state_binarizer.binarize(en_file, actions_file, consumer, tokenize=tokenize, en_offset=en_offset, en_end=en_end, actions_offset=actions_offset, actions_end=actions_end) # OR (for the same results, but should not be used when the function is called for multiprocessing) # _ = get_actions_states_file(en_file, actions_file, actions_dict, consumer=consumer, tokenize=tokenize) ds_tgt_vocab_masks.finalize(index_file_tgt_vocab_masks) ds_tgt_actnode_masks.finalize(index_file_tgt_actnode_masks) ds_tgt_src_cursors.finalize(index_file_tgt_src_cursors) # graph structure ds_tgt_actedge_masks.finalize(index_file_tgt_actedge_masks) ds_tgt_actedge_cur_nodes.finalize(index_file_tgt_actedge_cur_nodes) ds_tgt_actedge_pre_nodes.finalize(index_file_tgt_actedge_pre_nodes) ds_tgt_actedge_directions.finalize(index_file_tgt_actedge_directions) return def binarize_actstates_tofile_workers(en_file, actions_file, out_file_pref, actions_dict=None, action_state_binarizer=None, impl='mmap', tokenize=tokenize_line_tab, num_workers=1): """Get the action states and save to binary files, allowing multiprocessing to speed up.""" print('-' * 100) print(f'Generate and process action states information (number of workers: {num_workers}):') print(f'[English sentence file: {en_file}]') print(f'[AMR actions file: {actions_file}]') print('processing ...', end=' ') start = time.time() en_offsets, actions_offsets = ActionStatesBinarizer.find_offsets_paired(en_file, actions_file, num_workers) if action_state_binarizer is None: assert actions_dict is not None action_state_binarizer = ActionStatesBinarizer(actions_dict) pool = None # multiprocessing if num_workers > 1: pool = Pool(processes=num_workers - 1) for worker_id in range(1, num_workers): out_file_pref_temp = out_file_pref + f'{worker_id}' pool.apply_async( binarize_actstates_tofile, ( en_file, actions_file, out_file_pref_temp, actions_dict, impl, tokenize, action_state_binarizer, en_offsets[worker_id], en_offsets[worker_id + 1], actions_offsets[worker_id], actions_offsets[worker_id + 1] ), callback=None ) pool.close() # main process out_file_tgt_vocab_masks = out_file_pref + '.vocab_masks' + '.bin' index_file_tgt_vocab_masks = out_file_pref + '.vocab_masks' + '.idx' out_file_tgt_actnode_masks = out_file_pref + '.actnode_masks' + '.bin' index_file_tgt_actnode_masks = out_file_pref + '.actnode_masks' + '.idx' out_file_tgt_src_cursors = out_file_pref + '.src_cursors' + '.bin' index_file_tgt_src_cursors = out_file_pref + '.src_cursors' + '.idx' # graph structure out_file_tgt_actedge_masks = out_file_pref + '.actedge_masks' + '.bin' index_file_tgt_actedge_masks = out_file_pref + '.actedge_masks' + '.idx' out_file_tgt_actedge_cur_nodes = out_file_pref + '.actedge_cur_nodes' + '.bin' index_file_tgt_actedge_cur_nodes = out_file_pref + '.actedge_cur_nodes' + '.idx' out_file_tgt_actedge_pre_nodes = out_file_pref + '.actedge_pre_nodes' + '.bin' index_file_tgt_actedge_pre_nodes = out_file_pref + '.actedge_pre_nodes' + '.idx' out_file_tgt_actedge_directions = out_file_pref + '.actedge_directions' + '.bin' index_file_tgt_actedge_directions = out_file_pref + '.actedge_directions' + '.idx' ds_tgt_vocab_masks = make_builder(out_file_tgt_vocab_masks, impl=impl, dtype=np.uint8) ds_tgt_actnode_masks = make_builder(out_file_tgt_actnode_masks, impl=impl, dtype=np.uint8) ds_tgt_src_cursors = make_builder(out_file_tgt_src_cursors, impl=impl, dtype=np.int64) # graph structure ds_tgt_actedge_masks = make_builder(out_file_tgt_actedge_masks, impl=impl, dtype=np.uint8) ds_tgt_actedge_cur_nodes = make_builder(out_file_tgt_actedge_cur_nodes, impl=impl, dtype=np.int64) ds_tgt_actedge_pre_nodes = make_builder(out_file_tgt_actedge_pre_nodes, impl=impl, dtype=np.int64) ds_tgt_actedge_directions = make_builder(out_file_tgt_actedge_directions, impl=impl, dtype=np.int64) def consumer(vocab_mask, actions_nodemask, token_cursors, actions_edge_mask, actions_edge_cur_node, actions_edge_pre_node, actions_edge_direction): ds_tgt_vocab_masks.add_item(vocab_mask.view(-1)) # NOTE here we flatten the 2-D tensor ds_tgt_actnode_masks.add_item(actions_nodemask) ds_tgt_src_cursors.add_item(token_cursors) # graph structure ds_tgt_actedge_masks.add_item(actions_edge_mask) ds_tgt_actedge_cur_nodes.add_item(actions_edge_cur_node) ds_tgt_actedge_pre_nodes.add_item(actions_edge_pre_node) ds_tgt_actedge_directions.add_item(actions_edge_direction) return action_state_binarizer.binarize(en_file, actions_file, consumer, tokenize=tokenize, en_offset=0, en_end=en_offsets[1], actions_offset=0, actions_end=actions_offsets[1]) # merge the files from multiple workers to the main process if num_workers > 1: pool.join() for worker_id in range(1, num_workers): out_file_pref_temp = out_file_pref + f'{worker_id}' ds_tgt_vocab_masks.merge_file_(out_file_pref_temp + '.vocab_masks') ds_tgt_actnode_masks.merge_file_(out_file_pref_temp + '.actnode_masks') ds_tgt_src_cursors.merge_file_(out_file_pref_temp + '.src_cursors') # graph structure ds_tgt_actedge_masks.merge_file_(out_file_pref_temp + '.actedge_masks') ds_tgt_actedge_cur_nodes.merge_file_(out_file_pref_temp + '.actedge_cur_nodes') ds_tgt_actedge_pre_nodes.merge_file_(out_file_pref_temp + '.actedge_pre_nodes') ds_tgt_actedge_directions.merge_file_(out_file_pref_temp + '.actedge_directions') os.remove(out_file_pref_temp + '.vocab_masks' + '.bin') os.remove(out_file_pref_temp + '.vocab_masks' + '.idx') os.remove(out_file_pref_temp + '.actnode_masks' + '.bin') os.remove(out_file_pref_temp + '.actnode_masks' + '.idx') os.remove(out_file_pref_temp + '.src_cursors' + '.bin') os.remove(out_file_pref_temp + '.src_cursors' + '.idx') # graph structure os.remove(out_file_pref_temp + '.actedge_masks' + '.bin') os.remove(out_file_pref_temp + '.actedge_masks' + '.idx') os.remove(out_file_pref_temp + '.actedge_cur_nodes' + '.bin') os.remove(out_file_pref_temp + '.actedge_cur_nodes' + '.idx') os.remove(out_file_pref_temp + '.actedge_pre_nodes' + '.bin') os.remove(out_file_pref_temp + '.actedge_pre_nodes' + '.idx') os.remove(out_file_pref_temp + '.actedge_directions' + '.bin') os.remove(out_file_pref_temp + '.actedge_directions' + '.idx') # finalize to save the dtype and size and index info ds_tgt_vocab_masks.finalize(index_file_tgt_vocab_masks) ds_tgt_actnode_masks.finalize(index_file_tgt_actnode_masks) ds_tgt_src_cursors.finalize(index_file_tgt_src_cursors) # graph structure ds_tgt_actedge_masks.finalize(index_file_tgt_actedge_masks) ds_tgt_actedge_cur_nodes.finalize(index_file_tgt_actedge_cur_nodes) ds_tgt_actedge_pre_nodes.finalize(index_file_tgt_actedge_pre_nodes) ds_tgt_actedge_directions.finalize(index_file_tgt_actedge_directions) print('finished !') print(f'Processed data saved to path with prefix: {out_file_pref}') print(f'Total time elapsed: {time_since(start)}') print('-' * 100) return def load_actstates_fromfile(file_pref, actions_dict, impl='mmap'): """Load the action states from binary files""" file_pref_tgt_vocab_masks = file_pref + '.vocab_masks' file_pref_tgt_actnode_masks = file_pref + '.actnode_masks' file_pref_tgt_src_cursors = file_pref + '.src_cursors' # graph structure file_pref_tgt_actedge_masks = file_pref + '.actedge_masks' file_pref_tgt_actedge_cur_nodes = file_pref + '.actedge_cur_nodes' file_pref_tgt_actedge_pre_nodes = file_pref + '.actedge_pre_nodes' file_pref_tgt_actedge_directions = file_pref + '.actedge_directions' tgt_vocab_masks = load_indexed_dataset(file_pref_tgt_vocab_masks, actions_dict, impl) tgt_actnode_masks = load_indexed_dataset(file_pref_tgt_actnode_masks, None, impl) tgt_src_cursors = load_indexed_dataset(file_pref_tgt_src_cursors, None, impl) # graph structure tgt_actedge_masks = load_indexed_dataset(file_pref_tgt_actedge_masks, None, impl) tgt_actedge_cur_nodes = load_indexed_dataset(file_pref_tgt_actedge_cur_nodes, None, impl) tgt_actedge_pre_nodes = load_indexed_dataset(file_pref_tgt_actedge_pre_nodes, None, impl) tgt_actedge_directions = load_indexed_dataset(file_pref_tgt_actedge_directions, None, impl) return tgt_vocab_masks, tgt_actnode_masks, tgt_src_cursors, \ tgt_actedge_masks, tgt_actedge_cur_nodes, tgt_actedge_pre_nodes, tgt_actedge_directions

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d50f434b6d70731db143e5ee022731d0ee156bee

108

py

Python

gpt/config.py

wyu-du/formality_emnlp19

8f55e71138f14e5c26d1a63fce6e4b42f318f53b

[ "MIT" ]

1

2021-06-10T14:54:37.000Z

gpt/config.py

wyu-du/formality_emnlp19

8f55e71138f14e5c26d1a63fce6e4b42f318f53b

[ "MIT" ]

null

gpt/config.py

wyu-du/formality_emnlp19

8f55e71138f14e5c26d1a63fce6e4b42f318f53b

[ "MIT" ]

null

from gpt.src import encoder text_enc = encoder.get_encoder('gpt/models/117M') config_path='gpt/models/117M'

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1d207130603ada17ede5b92d6a68c5ee74c45e31

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py

Python

v4/evaluate/extractor/__init__.py

windszzlang/CBCP_End2End_Causality_Extraction

c0fb7f09d3138698efb1fc389eba7ea9547a5193

[ "Apache-2.0" ]

null

v4/evaluate/extractor/__init__.py

windszzlang/CBCP_End2End_Causality_Extraction

c0fb7f09d3138698efb1fc389eba7ea9547a5193

[ "Apache-2.0" ]

null

v4/evaluate/extractor/__init__.py

windszzlang/CBCP_End2End_Causality_Extraction

c0fb7f09d3138698efb1fc389eba7ea9547a5193

[ "Apache-2.0" ]

null

# must use . to change path from .causality_extractor import CausalityExtractor

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1d54ea74143ee72842c1ce1894f057e4622124fa

215

py

Python

tests/test_settings.py

Icheka/django-stripe-api-integration

2c26fdc4d4b85786fa933063f6eda2c81a8fd045

[ "MIT" ]

5

2017-07-01T22:28:58.000Z

2018-05-26T01:14:01.000Z

tests/test_settings.py

Icheka/django-stripe-api-integration

2c26fdc4d4b85786fa933063f6eda2c81a8fd045

[ "MIT" ]

55

2017-06-06T09:21:01.000Z

2019-07-10T11:18:31.000Z

tests/test_settings.py

Icheka/django-stripe-api-integration

2c26fdc4d4b85786fa933063f6eda2c81a8fd045

[ "MIT" ]

3

2017-11-03T14:40:30.000Z

2019-02-26T05:19:30.000Z

from django.test import TestCase from aa_stripe.settings import stripe_settings class TestSettings(TestCase): def test_defaults(self): self.assertEqual(stripe_settings.PENDING_WEBHOOKS_THRESHOLD, 20)

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5

1d54fb42693f356502c01def06a57c2add922aad

69

py

Python

Bonus.py

S0obi/SnakesAndLadders

7ba40668f5fc9d2ed13e4361ca13bd9735e44ae6

[ "MIT" ]

null

Bonus.py

S0obi/SnakesAndLadders

7ba40668f5fc9d2ed13e4361ca13bd9735e44ae6

[ "MIT" ]

null

Bonus.py

S0obi/SnakesAndLadders

7ba40668f5fc9d2ed13e4361ca13bd9735e44ae6

[ "MIT" ]

null

class Bonus: def __init__(self, type): self.type = type

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5

1d5718cdd187fda653a17cdabd2f2fd9cfaf7102

43

py

Python

examples/example_mkdir.py

juancarlospaco/thatlib

37403983c228521b992ad592231957a1c7af01f2

[ "MIT" ]

31

2021-05-12T16:54:34.000Z

2022-02-17T12:36:52.000Z

examples/example_mkdir.py

juancarlospaco/thatlib

37403983c228521b992ad592231957a1c7af01f2

[ "MIT" ]

1

2021-07-23T02:58:07.000Z

2021-09-03T21:53:29.000Z

examples/example_mkdir.py

juancarlospaco/thatlib

37403983c228521b992ad592231957a1c7af01f2

[ "MIT" ]

1

2021-05-12T22:12:20.000Z

from thatlib import mkdir mkdir("example")

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1d64eb3189f99f3ae60c0aa000496a01f244c30c

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py

Python

epytope/Data/pssms/arb/mat/A_0219_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/arb/mat/A_0219_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/arb/mat/A_0219_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

A_0219_9 = {0: {'A': 0.2420334938061355, 'C': -0.12964532145406094, 'E': -0.30716253311729963, 'D': -0.20136070573849837, 'G': 0.09315559829464488, 'F': 0.414085377622071, 'I': -0.11091042509341746, 'H': -0.40154576951031906, 'K': -0.11190222068525454, 'M': -0.16860437072777687, 'L': 0.20901824078912526, 'N': 0.032287878091663676, 'Q': 0.11764813950492131, 'P': -0.4510381206036012, 'S': -0.2651472265026922, 'R': -0.4731550123861466, 'T': -0.28413749083180867, 'W': 0.2955906501791419, 'V': -0.09635304020464032, 'Y': 0.7408657058985775}, 1: {'A': -0.41943263805417924, 'C': -0.6061935504333876, 'E': -0.6076150068101372, 'D': -0.607213243223602, 'G': -0.42689370995900866, 'F': -0.26210331331656417, 'I': -0.10967350782637802, 'H': -0.6288986336633852, 'K': -0.6139266374902476, 'M': 1.190384146568963, 'L': 1.4017298248353962, 'N': -0.6067032731427604, 'Q': 0.05055904458391644, 'P': -0.6281390090418096, 'S': -0.607352492311383, 'R': -0.6344244536958641, 'T': -0.4094068917461391, 'W': -0.607724675232467, 'V': -0.3341434179358044, 'Y': -0.5821559530728522}, 2: {'A': 0.03151441917923293, 'C': -0.5230670093085569, 'E': -0.43100928136539085, 'D': 0.09133983002015222, 'G': -0.10854506054292079, 'F': -0.039475930714978576, 'I': -0.25845810564074134, 'H': 0.05885721963591881, 'K': -0.3618581378273778, 'M': 0.9018137470311799, 'L': 0.2321708275679429, 'N': 0.07831164228003454, 'Q': 0.22144506774368122, 'P': 0.05214050830759903, 'S': 0.08094336297852421, 'R': -0.558514130048989, 'T': -0.15441584094409533, 'W': 0.18996836396566266, 'V': -0.5017537954964252, 'Y': 0.369764095683107}, 3: {'A': -0.28626087976730247, 'C': -0.025125042713760825, 'E': 0.47178602649403406, 'D': 0.7623297880080667, 'G': 0.3136472556573316, 'F': -0.3657171680025016, 'I': -0.21747542126833005, 'H': -0.5194043975409929, 'K': -0.293285801247425, 'M': -0.22636485330335548, 'L': -0.1553118171029022, 'N': -0.0979392609940178, 'Q': 0.17191291166213873, 'P': 0.05158066081625252, 'S': 0.10243891992817417, 'R': -0.3305725976478324, 'T': -0.2792916406115506, 'W': -0.31829212874127993, 'V': -0.47387241520285656, 'Y': -0.40070222297241603}, 4: {'A': -0.0664630090303782, 'C': 0.08906413209160546, 'E': -0.01631783995225214, 'D': 0.2811505654670672, 'G': 0.2699699503925373, 'F': -0.23462556888397043, 'I': -0.29073835177154284, 'H': -0.3009509959974252, 'K': -0.14121867364784013, 'M': 0.0678370240476132, 'L': -0.24882748064831306, 'N': 0.18968866265159356, 'Q': -0.37324808981501906, 'P': -0.09042667420234526, 'S': 0.09594153430999246, 'R': -0.5370676695087087, 'T': 0.18691516307466047, 'W': 0.7048833323442629, 'V': 0.08399414782445343, 'Y': 0.5009958670368024}, 5: {'A': 0.07878350356281144, 'C': 0.2795393513032944, 'E': -0.09436084459364735, 'D': -0.009535790747915907, 'G': -0.03321434575342667, 'F': -0.25484921353296797, 'I': 0.35957002643872255, 'H': -0.06394434795697493, 'K': -0.1414000989242711, 'M': -0.028836961840174796, 'L': 0.1073770390964023, 'N': -0.12028478909114225, 'Q': 0.07539197454994266, 'P': -0.1708262132646714, 'S': 0.2049606141156023, 'R': -0.5078537547759676, 'T': 0.07290481680957006, 'W': -0.29945826510496754, 'V': 0.1495075300850585, 'Y': 0.013283264778613241}, 6: {'A': 0.01411226130059054, 'C': 0.06692290277721402, 'E': -0.06340146779041687, 'D': 0.1746866532150916, 'G': -0.25992464000755505, 'F': 0.5009868235293345, 'I': 0.06355712998714634, 'H': 0.35077213192757506, 'K': -0.26925800741860245, 'M': -0.013849751311046675, 'L': -0.32758688479932485, 'N': -0.22385598526874687, 'Q': -0.06336166705835866, 'P': 0.47510097331107193, 'S': -0.2906131684624784, 'R': -0.47252967044892613, 'T': -0.11343812404340384, 'W': 0.221827025663051, 'V': -0.2039985639445891, 'Y': 0.29109835352637226}, 7: {'A': -0.2214844136003379, 'C': 0.253972043605802, 'E': -0.11180878646892282, 'D': 0.04866386625383542, 'G': 0.21129609322137066, 'F': 0.09675763577527521, 'I': -0.478466495950241, 'H': -0.22278119575014163, 'K': 0.0024895662503172412, 'M': -0.08637762364986003, 'L': -0.16451622726927184, 'N': 0.14658405355475607, 'Q': -0.22460008840640644, 'P': 0.06863736746483798, 'S': 0.02806708910872769, 'R': 0.17046998008080952, 'T': 0.12640810468428135, 'W': -0.325349814172603, 'V': -0.051103104718504995, 'Y': 0.4213757307211304}, 8: {'A': 0.48788428252771016, 'C': -0.02730369832594655, 'E': -0.6113264720739239, 'D': -0.6061935504333876, 'G': -4.0, 'F': -0.553306353566414, 'I': 0.3385355359756546, 'H': -0.612884043508607, 'K': -0.6261305872802506, 'M': 0.006175759526607426, 'L': 0.1606962734073028, 'N': -0.5384273463457844, 'Q': -0.530233857024553, 'P': -4.0, 'S': -0.22209665774387793, 'R': -0.6118447637583928, 'T': 0.3905794756125614, 'W': -0.6207885684222972, 'V': 1.2769558604632072, 'Y': -0.6997587692314469}, -1: {'slope': 0.10404992803361, 'intercept': -0.3897501239679909}}

4,797

0.702731

559

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6.026834

0.379249

0.005343

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0.078174

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0.044098

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null

0

1

0

1

0

null

0

5

1d9b27389fb8302675e8ee2f398066b71819484d

179

py

Python

moneydog/lib/util.py

Falldog/moneydog

86e7cab1c0b35f07d1fe42e699e1159f57f1bef5

[ "Apache-2.0" ]

null

moneydog/lib/util.py

Falldog/moneydog

86e7cab1c0b35f07d1fe42e699e1159f57f1bef5

[ "Apache-2.0" ]

null

moneydog/lib/util.py

Falldog/moneydog

86e7cab1c0b35f07d1fe42e699e1159f57f1bef5

[ "Apache-2.0" ]

null

from datetime import date, datetime def str2datetime(s): return datetime.strptime(s, '%Y-%m-%d') def str2date(s): return datetime.strptime(s[:10], '%Y-%m-%d').date()

16.272727

55

0.648045

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179

4.296296

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0.12069

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0.396552

0.413793

0

0.02649

0.156425

179

10

56

17.9

0.741722

0

0.089888

0

1

0.4

false

0

0.2

0.4

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0

1

0

null

0

1

0

null

0

1

0

1

0

5

d53d79f82aad288e4198342930d91c1398f4ae2e

13,031

py

Python

tests/registry_searcher.py

joachimmetz/dfwinreg

1b7f552f48f54e7b2d259c73b91b1d9980129544

[ "Apache-2.0" ]

3

2019-12-16T14:59:54.000Z

2020-05-22T12:20:06.000Z

tests/registry_searcher.py

nwoolr20/dfwinreg

3cae45c90501b2f5663a041bf29edbbb3bb5c73b

[ "Apache-2.0" ]

null

tests/registry_searcher.py

nwoolr20/dfwinreg

3cae45c90501b2f5663a041bf29edbbb3bb5c73b

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for the Windows Registry searcher.""" import unittest from dfwinreg import fake from dfwinreg import registry from dfwinreg import registry_searcher from tests import registry as test_registry from tests import test_lib class FindSpecTest(test_lib.BaseTestCase): """Tests for the find specification.""" # pylint: disable=protected-access def testInitialize(self): """Tests the __init__ function.""" find_spec = registry_searcher.FindSpec() self.assertIsNotNone(find_spec) find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') self.assertIsNotNone(find_spec) find_spec = registry_searcher.FindSpec( key_path=['HKEY_CURRENT_USER', 'Software', 'Microsoft']) self.assertIsNotNone(find_spec) find_spec = registry_searcher.FindSpec( key_path_glob='HKEY_CURRENT_USER\\*\\Microsoft') self.assertIsNotNone(find_spec) find_spec = registry_searcher.FindSpec( key_path_glob=['HKEY_CURRENT_USER', '*', 'Microsoft']) self.assertIsNotNone(find_spec) find_spec = registry_searcher.FindSpec( key_path_regex='HKEY_CURRENT_USER\\.*\\Microsoft') self.assertIsNotNone(find_spec) find_spec = registry_searcher.FindSpec( key_path_regex=['HKEY_CURRENT_USER', '.*', 'Microsoft']) self.assertIsNotNone(find_spec) with self.assertRaises(TypeError): registry_searcher.FindSpec(key_path=('bogus', 0)) with self.assertRaises(TypeError): registry_searcher.FindSpec(key_path_glob=('bogus', 0)) with self.assertRaises(TypeError): registry_searcher.FindSpec(key_path_regex=('bogus', 0)) with self.assertRaises(ValueError): registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft', key_path_glob='HKEY_CURRENT_USER\\*\\Microsoft') def testCheckKeyPath(self): """Tests the _CheckKeyPath function.""" find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') registry_key = fake.FakeWinRegistryKey( 'Microsoft', key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec._CheckKeyPath(registry_key, 3) self.assertTrue(result) result = find_spec._CheckKeyPath(registry_key, 0) self.assertTrue(result) # Test incorrect search depth. result = find_spec._CheckKeyPath(registry_key, 1) self.assertFalse(result) # Test invalid search depth. result = find_spec._CheckKeyPath(registry_key, -1) self.assertFalse(result) result = find_spec._CheckKeyPath(registry_key, 99) self.assertFalse(result) # Test find specification with regular expression. find_spec = registry_searcher.FindSpec( key_path_regex=['HKEY_CURRENT_USER', 'Software', 'Microsoft']) registry_key = fake.FakeWinRegistryKey( 'Microsoft', key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec._CheckKeyPath(registry_key, 3) self.assertTrue(result) # Test find specification without key_path_segments. find_spec._key_path_segments = None result = find_spec._CheckKeyPath(registry_key, 3) self.assertFalse(result) # Test find specification with invalid regular expression. find_spec = registry_searcher.FindSpec( key_path_regex=['HKEY_CURRENT_USER', 'Software', 'Mi(rosoft']) registry_key = fake.FakeWinRegistryKey( 'Microsoft', key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec._CheckKeyPath(registry_key, 3) self.assertFalse(result) def testCompareWithKeyPathSegment(self): """Test the _CompareWithKeyPathSegment function.""" find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec._CompareWithKeyPathSegment('Microsoft', 2) self.assertTrue(result) result = find_spec._CompareWithKeyPathSegment('Microsoft', 1) self.assertFalse(result) find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Bogus') result = find_spec._CompareWithKeyPathSegment('Microsoft', 2) self.assertFalse(result) def testAtLastKeyPathSegment(self): """Test the AtLastKeyPathSegment function.""" find_spec = registry_searcher.FindSpec() result = find_spec.AtLastKeyPathSegment(2) self.assertFalse(result) find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec.AtLastKeyPathSegment(0) self.assertFalse(result) result = find_spec.AtLastKeyPathSegment(2) self.assertTrue(result) result = find_spec.AtLastKeyPathSegment(5) self.assertTrue(result) def testAtMaximumDepth(self): """Tests the AtMaximumDepth function.""" find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec.AtMaximumDepth(1) self.assertFalse(result) result = find_spec.AtMaximumDepth(5) self.assertTrue(result) def testCompareKeyPath(self): """Test the CompareKeyPath function.""" registry_key = fake.FakeWinRegistryKey( 'Microsoft', key_path='HKEY_CURRENT_USER\\Software\\Microsoft') find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec.CompareKeyPath(registry_key) self.assertTrue(result) find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Bogus') result = find_spec.CompareKeyPath(registry_key) self.assertFalse(result) def testCompareNameWithKeyPathSegment(self): """Test the CompareNameWithKeyPathSegment function.""" registry_key = fake.FakeWinRegistryKey( 'Microsoft', key_path='HKEY_CURRENT_USER\\Software\\Microsoft') find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec.CompareNameWithKeyPathSegment(registry_key, 2) self.assertTrue(result) result = find_spec.CompareNameWithKeyPathSegment(registry_key, 1) self.assertFalse(result) find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Bogus') result = find_spec.CompareNameWithKeyPathSegment(registry_key, 2) self.assertFalse(result) def testHasKeyPath(self): """Test the HasKeyPath function.""" find_spec = registry_searcher.FindSpec() result = find_spec.HasKeyPath() self.assertFalse(result) find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec.HasKeyPath() self.assertTrue(result) def testIsLastKeyPathSegment(self): """Test the IsLastKeyPathSegment function.""" find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec.IsLastKeyPathSegment(0) self.assertFalse(result) result = find_spec.IsLastKeyPathSegment(2) self.assertTrue(result) result = find_spec.IsLastKeyPathSegment(5) self.assertFalse(result) def testMatches(self): """Tests the Matches function.""" find_spec = registry_searcher.FindSpec( key_path='HKEY_CURRENT_USER\\Software\\Microsoft') registry_key = fake.FakeWinRegistryKey( 'Microsoft', key_path='HKEY_CURRENT_USER\\Software\\Microsoft') result = find_spec.Matches(registry_key, 3) self.assertEqual(result, (True, True)) result = find_spec.Matches(registry_key, 1) self.assertEqual(result, (False, False)) result = find_spec.Matches(registry_key, 0) self.assertEqual(result, (False, True)) # Test find specification without key_path_segments. find_spec._key_path_segments = None result = find_spec.Matches(registry_key, 3) self.assertEqual(result, (True, None)) class WinRegistrySearcherTest(test_lib.BaseTestCase): """Tests for the Windows Registry searcher.""" # pylint: disable=protected-access def testInitialize(self): """Tests the __init__ function.""" with self.assertRaises(ValueError): registry_searcher.WinRegistrySearcher(None) # TODO: add tests for _FindInKey def testFind(self): """Tests the Find function.""" test_path = self._GetTestFilePath(['SYSTEM']) self._SkipIfPathNotExists(test_path) win_registry = registry.WinRegistry( registry_file_reader=test_registry.TestREGFWinRegistryFileReader()) registry_file = win_registry._OpenFile(test_path) key_path_prefix = win_registry.GetRegistryFileMapping(registry_file) win_registry.MapFile(key_path_prefix, registry_file) searcher = registry_searcher.WinRegistrySearcher(win_registry) # Test with key path. find_spec = registry_searcher.FindSpec( key_path='HKEY_LOCAL_MACHINE\\System\\ControlSet001') expected_key_paths = ['HKEY_LOCAL_MACHINE\\System\\ControlSet001'] key_paths = list(searcher.Find(find_specs=[find_spec])) self.assertEqual(key_paths, expected_key_paths) # Test with key path glob. find_spec = registry_searcher.FindSpec( key_path_glob='HKEY_LOCAL_MACHINE\\System\\ControlSet001\\*') expected_key_paths = [ 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Control', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Enum', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Hardware Profiles', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Policies', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Services'] key_paths = list(searcher.Find(find_specs=[find_spec])) self.assertEqual(key_paths, expected_key_paths) # Test with key path regular expression. find_spec = registry_searcher.FindSpec( key_path_regex=[ 'HKEY_LOCAL_MACHINE', 'System', 'ControlSet001', '.*']) expected_key_paths = [ 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Control', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Enum', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Hardware Profiles', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Policies', 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Services'] key_paths = list(searcher.Find(find_specs=[find_spec])) self.assertEqual(key_paths, expected_key_paths) # Test with CurrentControlSet. find_spec = registry_searcher.FindSpec( key_path_glob='HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\*') expected_key_paths = [ 'HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Control', 'HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Enum', 'HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Hardware Profiles', 'HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Policies', 'HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Services'] key_paths = list(searcher.Find(find_specs=[find_spec])) self.assertEqual(key_paths, expected_key_paths) # Test without find specifications. win_registry = registry.WinRegistry( registry_file_reader=test_registry.TestREGFWinRegistryFileReader( emulate_virtual_keys=False)) registry_file = win_registry._OpenFile(test_path) key_path_prefix = win_registry.GetRegistryFileMapping(registry_file) win_registry.MapFile(key_path_prefix, registry_file) searcher = registry_searcher.WinRegistrySearcher(win_registry) key_paths = list(searcher.Find()) self.assertEqual(len(key_paths), 21512) def testGetKeyByPath(self): """Tests the GetKeyByPath function.""" test_path = self._GetTestFilePath(['SYSTEM']) self._SkipIfPathNotExists(test_path) win_registry = registry.WinRegistry( registry_file_reader=test_registry.TestREGFWinRegistryFileReader()) registry_file = win_registry._OpenFile(test_path) key_path_prefix = win_registry.GetRegistryFileMapping(registry_file) win_registry.MapFile(key_path_prefix, registry_file) searcher = registry_searcher.WinRegistrySearcher(win_registry) registry_key = searcher.GetKeyByPath( 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Control') self.assertIsNotNone(registry_key) registry_key = searcher.GetKeyByPath( 'HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Control') self.assertIsNotNone(registry_key) def testSplitKeyPath(self): """Tests the SplitKeyPath function.""" test_path = self._GetTestFilePath(['SYSTEM']) self._SkipIfPathNotExists(test_path) win_registry = registry.WinRegistry( registry_file_reader=test_registry.TestREGFWinRegistryFileReader()) registry_file = win_registry._OpenFile(test_path) key_path_prefix = win_registry.GetRegistryFileMapping(registry_file) win_registry.MapFile(key_path_prefix, registry_file) searcher = registry_searcher.WinRegistrySearcher(win_registry) path_segments = searcher.SplitKeyPath( 'HKEY_LOCAL_MACHINE\\System\\ControlSet001\\Control') self.assertEqual(len(path_segments), 4) if __name__ == '__main__': unittest.main()

34.2021

75

0.737626

1,424

13,031

6.439607

0.098315

0.061941

0.054962

0.082443

0.856161

0.806543

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0.658015

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0

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0.157317

13,031

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1

0

1

0

null

0

5

d57d020325ac0e79a9ccfe60fcfd10914cc0cfcc

143

py

Python

lib/solutions/SUM/sum_solution.py

DPNT-Sourcecode/CHK-ogoj01

7d5ae9cc2698d8203e0f223d36b1c5dd75f6ab8d

[ "Apache-2.0" ]

null

lib/solutions/SUM/sum_solution.py

DPNT-Sourcecode/CHK-ogoj01

7d5ae9cc2698d8203e0f223d36b1c5dd75f6ab8d

[ "Apache-2.0" ]

null

lib/solutions/SUM/sum_solution.py

DPNT-Sourcecode/CHK-ogoj01

7d5ae9cc2698d8203e0f223d36b1c5dd75f6ab8d

[ "Apache-2.0" ]

null

# noinspection PyShadowingBuiltins,PyUnusedLocal def compute(value1: int, value2: int) -> int: return int(value1 + value2)

23.833333

48

0.671329

14

143

6.857143

0.642857

0

0.036697

0.237762

143

5

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28.6

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false

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null

0

1

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null

0

1

0

1

0

5

d59a27eeeea6ddfb58b46ba1cd5abac84af191eb

451

py

Python

webapp/libs/backends/errors.py

sangwonl/stage34

03b0b25ba843a781d059c33b4df9824636876853

[ "MIT" ]

9

2016-08-01T05:13:59.000Z

2020-05-12T04:35:13.000Z

webapp/libs/backends/errors.py

sangwonl/stage34

03b0b25ba843a781d059c33b4df9824636876853

[ "MIT" ]

38

2016-08-14T01:07:14.000Z

2021-06-10T21:05:25.000Z

webapp/libs/backends/errors.py

sangwonl/stage34

03b0b25ba843a781d059c33b4df9824636876853

[ "MIT" ]

3

2016-11-24T00:05:56.000Z

2018-11-28T04:34:25.000Z

class GitRepoCloneError(Exception): pass class GitRepoPullError(Exception): pass class DockerComposeExecError(Exception): pass class DockerInspectExecError(Exception): pass class UpdateLocalHostError(Exception): pass class NginxReloadError(Exception): pass class StageConfigNotFoundError(Exception): pass class InvalidStageConfigError(Exception): pass class InvalidStageConfigError(Exception): pass

12.885714

42

0.764967

36

451

9.583333

0.305556

0.33913

0.417391

0.237681

0.275362

0

0.175166

451

34

43

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0

0.611111

0

1

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true

0.5

0

0.5

0

null

1

0

null

0

1

0

5

d5a3bedd97f996adda9f2731f6a80199176164bc

213

py

Python

src/error_handlers.py

develamove/courier-api

8a946178ece9b563d8dafdc8ef9277898d7bb041

[ "MIT" ]

null

src/error_handlers.py

develamove/courier-api

8a946178ece9b563d8dafdc8ef9277898d7bb041

[ "MIT" ]

null

src/error_handlers.py

develamove/courier-api

8a946178ece9b563d8dafdc8ef9277898d7bb041

[ "MIT" ]

null

from src.utils import response_creator, SERVER_ERROR @response_creator def handle_db_error(error): return 'Can\'t connect to main database', dict(database=['Can\'t connect to main database']), SERVER_ERROR

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5

6342c122790879e063b8332b5871c5e65601d335

459

py

Python

python全栈/day47/day47-5 匹配开头和结尾.py

Ringo-li/python_exercise_100

2c6c42b84a88ffbbac30c67ffbd7bad3418eda14

[ "MIT" ]

null

python全栈/day47/day47-5 匹配开头和结尾.py

Ringo-li/python_exercise_100

2c6c42b84a88ffbbac30c67ffbd7bad3418eda14

[ "MIT" ]

null

python全栈/day47/day47-5 匹配开头和结尾.py

Ringo-li/python_exercise_100

2c6c42b84a88ffbbac30c67ffbd7bad3418eda14

[ "MIT" ]

null

import re # ^ 匹配开头 match_obj = re.match("^n.{3,}", "node") if match_obj: result = match_obj.group() print(result) else: print("fail to match") # $ 匹配结尾 match_obj = re.match("n.{3,}\d$", "nodes2") if match_obj: result = match_obj.group() print(result) else: print("fail to match") # [^] 除了指定字符外都匹配 match_obj = re.match("c[^eft]o", "coo") if match_obj: result = match_obj.group() print(result) else: print("fail to match")

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636f47eeb823ef550b329acfab1b248729007d3d

426

py

Python

ChromProcess/Writers/__init__.py

thijsdejong10/ChromProcess

aba9c261824d0f29e0a92d7ca7c4a78e03249d62

[ "BSD-3-Clause" ]

null

ChromProcess/Writers/__init__.py

thijsdejong10/ChromProcess

aba9c261824d0f29e0a92d7ca7c4a78e03249d62

[ "BSD-3-Clause" ]

null

ChromProcess/Writers/__init__.py

thijsdejong10/ChromProcess

aba9c261824d0f29e0a92d7ca7c4a78e03249d62

[ "BSD-3-Clause" ]

null

from .chromatogram import chromatogram_to_csv from .chromatogram import chromatogram_to_peak_collection from .peak import peak_to_entry_text from .peak_collection import peak_collection_to_csv from .peak_collection_series import peak_collection_series_to_data_report from .mass_spectra import mass_spectrum_to_string_cols from .mass_spectra import mass_spectrum_to_string_rows from .data_report import data_report_to_csv

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63a0b2170eab4190459b70babda4f1316b9ada95

196

py

Python

glue/viewers/image/qt/__init__.py

HPLegion/glue

1843787ccb4de852dfe103ff58473da13faccf5f

[ "BSD-3-Clause" ]

550

2015-01-08T13:51:06.000Z

2022-03-31T11:54:47.000Z

glue/viewers/image/qt/__init__.py

HPLegion/glue

1843787ccb4de852dfe103ff58473da13faccf5f

[ "BSD-3-Clause" ]

1,362

2015-01-03T19:15:52.000Z

2022-03-30T13:23:11.000Z

glue/viewers/image/qt/__init__.py

HPLegion/glue

1843787ccb4de852dfe103ff58473da13faccf5f

[ "BSD-3-Clause" ]

142

2015-01-08T13:08:00.000Z

2022-03-18T13:25:57.000Z

from .data_viewer import ImageViewer # noqa from .standalone_image_viewer import StandaloneImageViewer # noqa def setup(): from glue.config import qt_client qt_client.add(ImageViewer)

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1

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5

63bc3063d6e020ab6b09156a20dc8491d43b5641

125

py

Python

office365/sharepoint/fields/field_choice.py

rikeshtailor/Office365-REST-Python-Client

ca7bfa1b22212137bb4e984c0457632163e89a43

[ "MIT" ]

544

2016-08-04T17:10:16.000Z

2022-03-31T07:17:20.000Z

office365/sharepoint/fields/field_choice.py

rikeshtailor/Office365-REST-Python-Client

ca7bfa1b22212137bb4e984c0457632163e89a43

[ "MIT" ]

438

2016-10-11T12:24:22.000Z

2022-03-31T19:30:35.000Z

office365/sharepoint/fields/field_choice.py

rikeshtailor/Office365-REST-Python-Client

ca7bfa1b22212137bb4e984c0457632163e89a43

[ "MIT" ]

202

2016-08-22T19:29:40.000Z

2022-03-30T20:26:15.000Z

from office365.sharepoint.fields.field import Field class FieldChoice(Field): """Represents a choice field control."""

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1

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5

89627eb77769348c33eb4a104e9589cbc7f63b54

159,556

py

Python

rknn/rknn_api/examples/rknn_ssd_demo/model/rockrobo_box_priors.py

ronjian/rknpu

f6dd30f8d4d33b85905349cf980ddceaacb3d3cf

[ "BSD-3-Clause" ]

null

rknn/rknn_api/examples/rknn_ssd_demo/model/rockrobo_box_priors.py

ronjian/rknpu

f6dd30f8d4d33b85905349cf980ddceaacb3d3cf

[ "BSD-3-Clause" ]

null

rknn/rknn_api/examples/rknn_ssd_demo/model/rockrobo_box_priors.py

ronjian/rknpu

f6dd30f8d4d33b85905349cf980ddceaacb3d3cf

[ "BSD-3-Clause" ]

null

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0.75, 1.3857097625732422, 0.4618570804595947 ), ( 0.75, 0.75, 0.8717798590660095, 0.8717798590660095 ), ( 0.5, 0.5, 0.9500000476837158, 0.9500000476837158 ), ( 0.5, 0.5000000596046448, 0.6717514991760254, 1.3435029983520508 ), ( 0.5000000596046448, 0.5, 1.3435029983520508, 0.6717514991760254 ), ( 0.5, 0.5, 0.5484827756881714, 1.6454482078552246 ), ( 0.5, 0.5, 1.6455304622650146, 0.5484553575515747 ), ( 0.5, 0.5, 0.9746794700622559, 0.9746794700622559 ), ) # %% line1 = " " line2 = " " line3 = " " line4 = " " for anchor in anchors: e1, e2, e3, e4 = anchor e1, e2, e3, e4 = str(e1), str(e2), str(e3), str(e4) line1 += e1 line1 += " " line2 += e2 line2 += " " line3 += e3 line3 += " " line4 += e4 line4 += " " with open("rockrobo_box_priors.txt", 'w') as wf: wf.write(line1 + "\n") wf.write(line2 + "\n") wf.write(line3 + "\n") wf.write(line4 + "\n") # %%

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899fce9f863d549533bed961b01e25110f213b6c

2,310

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Python

app/server.py

LandRegistry/lr-styleguide-website

a0f4c449f1c7b2d54d7f022c3dd4ec2f8024a7b5

[ "MIT" ]

1

2016-10-10T09:38:23.000Z

app/server.py

LandRegistry/lr-styleguide-website

a0f4c449f1c7b2d54d7f022c3dd4ec2f8024a7b5

[ "MIT" ]

null

app/server.py

LandRegistry/lr-styleguide-website

a0f4c449f1c7b2d54d7f022c3dd4ec2f8024a7b5

[ "MIT" ]

1

2021-04-11T06:05:59.000Z

import os from flask import Flask, render_template from flask.ext import assets app = Flask(__name__) env = assets.Environment(app) env.register( 'styleguide_website', assets.Bundle( 'demo/sass/styleguide-examples.scss', filters='scss', output='demo/css/styleguide-examples.css' ) ) # Small thing to allow source code examples in a template app.jinja_env.globals['include_raw'] = lambda filename : app.jinja_loader.get_source(app.jinja_env, filename)[0] # General base styles @app.route('/') def home(): return render_template('styleguide/index.html') @app.route('/typography') def typography(): return render_template('styleguide/typography.html') @app.route('/icons') def icons(): return render_template('styleguide/icons.html') @app.route('/layout') def layout(): return render_template('styleguide/layout.html') @app.route('/forms') def forms(): return render_template('styleguide/forms.html') @app.route('/buttons-and-similar-controls') def buttons_and_similar_controls(): return render_template('styleguide/buttons_and_similar_controls.html') @app.route('/tables-and-data-display') def tables_and_data_display(): return render_template('styleguide/tables_and_data_display.html') @app.route('/panels-and-callouts') def panels_and_callouts(): return render_template('styleguide/panels_and_callouts.html') @app.route('/sticky-panel') def sticky_panel(): return render_template('styleguide/sticky_panel.html') @app.route('/dividers') def dividers(): return render_template('styleguide/dividers.html') @app.route('/utilities') def utilities(): return render_template('styleguide/utilities.html') # Components @app.route('/breadcrumbs') def breadcrumbs(): return render_template('styleguide/breadcrumbs.html') @app.route('/case-list') def case_list(): return render_template('styleguide/case_list.html') @app.route('/pagination') def pagination(): return render_template('styleguide/pagination.html') @app.route('/search-results') def search_results(): return render_template('styleguide/search_results.html') if __name__ == '__main__': # Bind to PORT if defined, otherwise default to 5000. port = int(os.environ.get('PORT', 5000)) app.run(host='0.0.0.0', port=port, debug=True)

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89a73308280c422712abdc545a4b5ff98effa0c0

102,074

py

Python

calfem/core.py

opetlund/TMM4135-CALFEM

e15621a6fec3bef7f07cfbc9abb80ad10551d6d0

[ "MIT" ]

null

calfem/core.py

opetlund/TMM4135-CALFEM

e15621a6fec3bef7f07cfbc9abb80ad10551d6d0

[ "MIT" ]

null

calfem/core.py

opetlund/TMM4135-CALFEM

e15621a6fec3bef7f07cfbc9abb80ad10551d6d0

[ "MIT" ]

null

# -*- coding: iso-8859-15 -*- """ CALFEM Core module Contains all the functions implementing CALFEM standard functionality """ from scipy.sparse.linalg import dsolve import numpy as np import logging as cflog def error(msg): """Write ``msg`` to error log.""" cflog.error(" calfem.core: "+msg) def info(msg): """Write ``msg`` to info log.""" cflog.info(" calfem.core: "+msg) def spring1e(ep): """ Compute element stiffness matrix for spring element. :param float ep: spring stiffness or analog quantity (ep = k). :return mat Ke: stiffness matrix, dim(Ke)= 2 x 2 """ k = ep return np.mat([[k,-k],[-k,k]],'d') def spring1s(ep,ed): """ Compute element force in spring element (spring1e). :param float ep: spring stiffness or analog quantity :param list ed: element displacements [d0, d1] :return float es: element force [N] """ k = ep return k*(ed[1]-ed[0]); def bar1e(ep): """ Compute element stiffness matrix for spring element. :param ep float: spring stiffness or analog quantity :return mat Ke: stiffness matrix, dim(Ke)= 2 x 2 """ k = ep return np.mat([[k,-k],[-k,k]],'d') def bar1s(ep,ed): """ Compute element force in spring element (spring1e). :param float ep: spring stiffness or analog quantity :param list ed: element displacements [d0, d1] :return float es: element force """ k = ep return k*(ed[1]-ed[0]); def bar2e(ex,ey,ep): """ Compute the element stiffness matrix for two dimensional bar element. :param list ex: element x coordinates [x1, x2] :param list ey: element y coordinates [y1, y2] :param list ep: [E, A]: E - Young's modulus, A - Cross section area :return mat Ke: stiffness matrix, [4 x 4] """ E=ep[0] A=ep[1] b = np.mat([[ex[1]-ex[0]],[ey[1]-ey[0]]]) L = np.asscalar(np.sqrt(b.T*b)) Kle = np.mat([[1.,-1.],[-1.,1.]])*E*A/L n = np.asarray(b.T/L).reshape(2,) G = np.mat([ [n[0],n[1],0.,0.], [0.,0.,n[0],n[1]] ]) return G.T*Kle*G def bar2g(ex,ey,ep,N): """ Compute element stiffness matrix for two dimensional geometric nonlinear bar element. :param list ex: element x coordinates [x1, x2] :param list ey: element y coordinates [y1, y2] :param list ep: element properties [E, A], E - Young's modulus, A - Cross section area :param float N: normal force :return mat Ke: stiffness matrix [4 x 4] """ E = ep[0] A = ep[1] b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b.T/L).reshape(2,) G = np.mat([ [ n[0], n[1], 0., 0. ], [-n[1], n[0], 0., 0. ], [ 0., 0., n[0], n[1]], [ 0., 0., -n[1], n[0]] ]) Kle = E*A/L*np.mat([ [ 1, 0,-1, 0], [ 0, 0, 0, 0], [-1, 0, 1, 0], [ 0, 0, 0, 0] ])+N/L*np.mat([ [ 0, 0, 0, 0], [ 0, 1, 0,-1], [ 0, 0, 0, 0], [ 0,-1, 0, 1] ]) return G.T*Kle*G def bar2s(ex,ey,ep,ed): """ Compute normal force in two dimensional bar element. :param list ex: element x coordinates [x1, x2] :param list ey: element y coordinates [y1, y2] :param list ep: element properties [E, A], E - Young's modulus, A - Cross section area :param list ed: element displacements [u1, u2, u3, u4] :return float N: element foce [N] """ E=ep[0] A=ep[1] b = np.mat([[ex[1]-ex[0]],[ey[1]-ey[0]]]) L = np.asscalar(np.sqrt(b.T*b)) #Kle = np.mat([[1.,-1.],[-1.,1.]])*E*A/L n = np.asarray(b.T/L).reshape(2,) G = np.mat([ [n[0],n[1],0.,0.], [0.,0.,n[0],n[1]] ]) u=np.asmatrix(ed).T N=E*A/L*np.mat([[-1.,1.]])*G*u return np.asscalar(N) def bar3e(ex,ey,ez,ep): """ Compute element stiffness matrix for three dimensional bar element. :param list ex: element x coordinates [x1, x2] :param list ey: element y coordinates [y1, y2] :param list ez: element z coordinates [z1, z2] :param list ep: element properties [E, A], E - Young's modulus, A - Cross section area :return mat Ke: stiffness matrix, [6 x 6] """ E = ep[0] A = ep[1] b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]], [ez[1]-ez[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b.T/L).reshape(3) G = np.mat([ [ n[0], n[1], n[2], 0., 0., 0. ], [ 0., 0., 0., n[0], n[1], n[2]] ]) Kle = E*A/L*np.mat([ [ 1,-1], [-1, 1] ]) return G.T*Kle*G def bar3s(ex,ey,ez,ep,ed): """ Compute normal force in three dimensional bar element. :param list ex: element x coordinates [x1, x2] :param list ey: element y coordinates [y1, y2] :param list ez: element z coordinates [z1, z2] :param list ep: element properties [E, A], E - Young's modulus, A - Cross section area :param list ed: element displacements [u1, ..., u6] :return float N: normal force """ E = ep[0] A = ep[1] b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]], [ez[1]-ez[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b.T/L).reshape(3) G = np.mat([ [ n[0], n[1], n[2], 0. , 0. , 0. ], [ 0. , 0. , 0. , n[0], n[1], n[2]] ]) #Kle = E*A/L*np.mat([ # [ 1,-1], # [-1, 1] #]) u = np.asmatrix(ed).T N = E*A/L*np.mat([[-1.,1.]])*G*u return np.asscalar(N) def beam2e(ex,ey,ep,eq=None): """ Compute the stiffness matrix for a two dimensional beam element. :param list ex: element x coordinates [x1, x2] :param list ey: element y coordinates [y1, y2] :param list ep: element properties [E, A, I], E - Young's modulus, A - Cross section area, I - Moment of inertia :param list eq: distributed loads, local directions [qx, qy] :return mat Ke: element stiffness matrix [6 x 6] :return mat fe: element stiffness matrix [6 x 1] (if eq!=None) """ b=np.mat([[ex[1]-ex[0]],[ey[1]-ey[0]]]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b.T/L).reshape(2,) E=ep[0] A=ep[1] I=ep[2] qx=0. qy=0. if not eq is None: qx=eq[0] qy=eq[1] Kle = np.mat([ [E*A/L, 0., 0., -E*A/L, 0., 0. ], [ 0., 12*E*I/L**3., 6*E*I/L**2., 0., -12*E*I/L**3., 6*E*I/L**2. ], [ 0., 6*E*I/L**2., 4*E*I/L, 0., -6*E*I/L**2., 2*E*I/L ], [-E*A/L, 0., 0., E*A/L, 0., 0. ], [ 0., -12*E*I/L**3.,-6*E*I/L**2., 0., 12*E*I/L**3.,-6*E*I/L**2. ], [ 0., 6*E*I/L**2., 2*E*I/L, 0., -6*E*I/L**2., 4*E*I/L ] ]) fle=L*np.mat([qx/2, qy/2, qy*L/12, qx/2, qy/2, -qy*L/12]).T G=np.mat([ [ n[0], n[1], 0., 0., 0., 0.], [-n[1], n[0], 0., 0., 0., 0.], [0., 0., 1., 0., 0., 0.], [0., 0., 0., n[0], n[1], 0.], [0., 0., 0., -n[1], n[0], 0.], [0., 0., 0., 0., 0., 1.] ]) Ke=G.T*Kle*G fe=G.T*fle if eq is None: return Ke else: return Ke,fe def beam2s(ex,ey,ep,ed,eq=None,nep=None): """ Compute section forces in two dimensional beam element (beam2e). Parameters: ex = [x1 x2] ey = [y1 y2] element node coordinates ep = [E A I] element properties, E: Young's modulus A: cross section area I: moment of inertia ed = [u1 ... u6] element displacements eq = [qx qy] distributed loads, local directions nep number of evaluation points ( default=2 ) Returns: es = [ N1 V1 M1 section forces, local directions, in N2 V2 M2 n points along the beam, dim(es)= n x 3 .........] edi = [ u1 v1 element displacements, local directions, u2 v2 in n points along the beam, dim(es)= n x 2 .......] eci = [ x1 local x-coordinates of the evaluation x2 points, (x1=0 and xn=L) ...] """ EA=ep[0]*ep[1] EI=ep[0]*ep[2] b=np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b.T/L).reshape(2,) qx=0. qy=0. if not eq is None: qx=eq[0] qy=eq[1] ne=2 if nep!=None: ne = nep C=np.mat([ [0., 0., 0., 1., 0., 0.], [0., 0., 0., 0., 0., 1.], [0., 0., 0., 0., 1., 0.], [L, 0., 0., 1., 0., 0.], [0., L**3, L**2, 0., L, 1.], [0., 3*L**2, 2*L, 0., 1., 0.] ]) G=np.mat([ [ n[0], n[1], 0., 0., 0., 0.], [-n[1], n[0], 0., 0., 0., 0.], [0., 0., 1., 0., 0., 0.], [0., 0., 0., n[0], n[1], 0.], [0., 0., 0., -n[1], n[0], 0.], [0., 0., 0., 0., 0., 1.] ]) M=np.ravel(C.I*(G*np.asmatrix(ed).T-np.matrix([0., 0., 0., -qx*L**2/(2*EA), qy*L**4/(24*EI), qy*L**3/(6*EI)]).T)) A=np.matrix([M[0],M[3]]).T B=np.matrix([M[1],M[2],M[4],M[5]]).T x=np.asmatrix(np.arange(0.,L+L/(ne-1),L/(ne-1))).T zero=np.asmatrix(np.zeros([len(x)])).T one=np.asmatrix(np.ones([len(x)])).T u=np.concatenate((x,one),1)*A-np.power(x,2)*qx/(2*EA) du=np.concatenate((one,zero),1)*A-x*qx/EA v=np.concatenate((np.power(x,3),np.power(x,2),x,one),1)*B+np.power(x,4)*qy/(24*EI) d2v=np.concatenate((6*x,2*one,zero,zero),1)*B+np.power(x,2)*qy/(2*EI) d3v=np.concatenate((6*one,zero,zero,zero),1)*B+x*qy/EI N=EA*du M=EI*d2v V=-EI*d3v edi=np.concatenate((u,v),1) eci=x es=np.concatenate((N,V,M),1) return (es,edi,eci) def beam2t(ex,ey,ep,eq=None): """ Compute the stiffness matrix for a two dimensional elastic Timoshenko beam element. Parameters: ex = [x1 x2] ey = [y1 y2] element node coordinates ep = [E G A I ks] element properties E: Young's modulus G: Shear modulus A: Cross section area I: Moment of inertia ks: Shear correction factor eq = [qx qy] distributed loads, local directions Returns: Ke element stiffness matrix (6 x 6) fe element load vector (6 x 1) """ b = np.mat([[ex[1]-ex[0]],[ey[1]-ey[0]]]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b.T/L).reshape(2) E = ep[0] Gm = ep[1] A = ep[2] I = ep[3] ks = ep[4] qx = 0. qy = 0. if eq != None: qx = eq[0] qy = eq[1] m = (12/L**2)*(E*I/(Gm*A*ks)) Kle = E/(1+m)*np.mat([ [A*(1+m)/L, 0., 0., -A*(1+m)/L, 0., 0. ], [0., 12*I/L**3., 6*I/L**2., 0., -12*I/L**3., 6*I/L**2. ], [0., 6*I/L**2., 4*I*(1+m/4.)/L, 0., -6*I/L**2., 2*I*(1-m/2)/L], [-A*(1+m)/L, 0., 0., A*(1+m)/L, 0., 0. ], [0., -12*I/L**3.,-6*I/L**2., 0., 12*I/L**3.,-6*I/L**2. ], [0., 6*I/L**2., 2*I*(1-m/2)/L, 0., -6*I/L**2., 4*I*(1+m/4)/L] ]) fle = L*np.mat([qx/2, qy/2, qy*L/12, qx/2, qy/2, -qy*L/12]).T G = np.mat([ [ n[0], n[1], 0., 0., 0., 0.], [-n[1], n[0], 0., 0., 0., 0.], [ 0., 0., 1., 0., 0., 0.], [ 0., 0., 0., n[0], n[1], 0.], [ 0., 0., 0., -n[1], n[0], 0.], [ 0., 0., 0., 0., 0., 1.] ]) Ke = G.T*Kle*G fe = G.T*fle if eq == None: return Ke else: return Ke,fe def beam2ts(ex,ey,ep,ed,eq=None,np=None): """ Compute section forces in two dimensional beam element (beam2e). Parameters: ex = [x1, x2] ey = [y1, y2] element node coordinates ep = [E,G,A,I,ks] element properties, E: Young's modulus G: shear modulus A: cross section area I: moment of inertia ed = [u1, ... ,u6] element displacements eq = [qx, qy] distributed loads, local directions n number of evaluation points ( default=2 ) Returns: es = [[N1,V1,M1], section forces, local directions, in [N2,V2,M2], n points along the beam, dim(es)= n x 3 ..........] edi = [[u1,v1,teta1], element displacements, local directions, [u2,v2,teta2], and rotation of cross section at .............] in n points along the beam, dim(es)= n x 2 (Note! Rotation of the cross section is not equal to dv/dx for Timoshenko beam element) eci = [[x1], local x-coordinates of the evaluation [x2], points, (x1=0 and xn=L) ....] """ EA = ep[0]*ep[2] EI = ep[0]*ep[3] GAK = ep[1]*ep[2]*ep[4] alfa = EI/GAK b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b.T/L).reshape(2) qx = 0. qy = 0. if eq != None: qx = eq[0] qy = eq[1] ne = 2 if np != None: ne = np C = np.mat([ [ 0., 0., 0., 1., 0., 0.], [ 0., 0., 0., 0., 0., 1.], [ 0., 6*alfa, 0., 0., 1., 0.], [ L, 0., 0., 1., 0., 0.], [ 0., L**3, L**2, 0., L, 1.], [ 0., 3*(L**2+2*alfa), 2*L, 0., 1., 0.] ]) G = np.mat([ [ n[0], n[1], 0., 0., 0., 0.], [-n[1], n[0], 0., 0., 0., 0.], [ 0., 0., 1., 0., 0., 0.], [ 0., 0., 0., n[0], n[1], 0.], [ 0., 0., 0.,-n[1], n[0], 0.], [ 0., 0., 0., 0., 0., 1.] ]) M = np.ravel(C.I*(G*np.asmatrix(ed).T-np.mat([0., 0., 0., -qx*L**2/(2*EA), qy*L**4/(24*EI)-qy*L**2/(2*GAK), qy*L**3/(6*EI)]).T)) C2 = np.mat([M[0], M[3]]).T C4 = np.mat([M[1], M[2], M[4], M[5]]).T x = np.asmatrix(np.arange(0., L+L/(ne-1), L/(ne-1))).T zero = np.asmatrix(np.zeros([len(x)])).T one = np.asmatrix(np.ones([len(x)])).T u = np.concatenate((x,one),1)*C2-qx/(2*EA)*np.power(x,2) du = np.concatenate((one,zero),1)*C2-qx*x/EA v = np.concatenate((np.power(x,3),np.power(x,2),x,one),1)*C4+qy/(24*EI)*np.np.power(x,4)-qy/(2*GAK)*np.power(x,2) dv = np.concatenate((3*np.power(x,2),2*x,one,zero),1)*C4+qy*np.power(x,3)/(6*EI)-qy*x/GAK teta = np.concatenate((3*(np.power(x,2)+2*alfa*one),2*x,one,zero),1)*C4+qy*np.power(x,3)/(6*EI) dteta = np.concatenate((6*x,2*one,zero,zero),1)*C4+qy*np.power(x,2)/(2*EI) N = EA*du M = EI*dteta V = GAK*(dv-teta) es = np.concatenate((N,V,M),1) edi = np.concatenate((u,v,teta),1) eci = x if np != None: return es,edi,eci else: return es def beam2w(ex,ey,ep,eq=None): """ Compute the stiffness matrix for a two dimensional beam element on elastic foundation. Parameters: ex = [x1, x2] ey = [y1, y2] element node coordinates ep = [E,A,I,ka,kt] element properties, E: Young's modulus A: cross section area I: moment of inertia ka: axial foundation stiffness kt: transversal foundation stiffness eq = [qx, qy] distributed loads, local directions Returns: Ke beam stiffness matrix (6 x 6) fe element load vector (6 x 1) """ b = np.mat([[ex[1]-ex[0]],[ey[1]-ey[0]]]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b/L).reshape(2) E,A,I,ka,kt = ep qx = 0 qy = 0 if eq != None: qx,qy = eq K1 = np.mat([ [ E*A/L, 0, 0, -E*A/L, 0, 0 ], [ 0, 12*E*I/L**3, 6*E*I/L**2, 0, -12*E*I/L**3, 6*E*I/L**2], [ 0, 6*E*I/L**2, 4*E*I/L, 0, -6*E*I/L**2, 2*E*I/L ], [-E*A/L, 0, 0, E*A/L, 0, 0 ], [ 0, -12*E*I/L**3,-6*E*I/L**2, 0, 12*E*I/L**3,-6*E*I/L**2], [ 0, 6*E*I/L**2, 2*E*I/L, 0, -6*E*I/L**2, 4*E*I/L ] ]) K2 = L/420*np.mat([ [ 140*ka, 0, 0, 70*ka, 0, 0 ], [ 0, 156*kt, 22*kt*L, 0, 54*kt, -13*kt*L ], [ 0, 22*kt*L, 4*kt*L**2, 0, 13*kt*L,-3*kt*L**2], [ 70*ka, 0, 0, 140*ka, 0, 0 ], [ 0, 54*kt, 13*kt*L, 0, 156*kt, -22*kt*L ], [ 0, -13*kt*L,-3*kt*L**2, 0, -22*kt*L, 4*kt*L**2] ]) Kle = K1+K2 fle = L*np.mat([qx/2, qy/2, qy*L/12, qx/2, qy/2, -qy*L/12]).T G = np.mat([ [ n[0], n[1], 0, 0, 0, 0], [-n[1], n[0], 0, 0, 0, 0], [ 0, 0, 1, 0, 0, 0], [ 0, 0, 0, n[0], n[1], 0], [ 0, 0, 0,-n[1], n[0], 0], [ 0, 0, 0, 0, 0, 1] ]) Ke = G.T*Kle*G fe = G.T*fle if eq != None: return Ke,fe else: return Ke def beam2ws(ex,ey,ep,ed,eq=None): """ Compute section forces in a two dimensional beam element on elastic foundation. Parameters: ex = [x1, x2] ey = [y1, y2] element node coordinates ep = [E,A,I,ka,kt] element properties, E: Young's modulus A: cross section area I: moment of inertia ka: axial foundation stiffness kt: transversal foundation stiffness ed = [u1, ... ,u6] element displacement vector eq = [qx, qy] distributed loads, local directions Returns: es = [[N1, V1, M1], [N2, V2, M2]] element forces, local direction """ if np.asmatrix(ed).shape[0] > 1: cferror("Only one row is allowed in the ed matrix !!!") return b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b/L).reshape(2,) E,A,I,ka,kt = ep qx = 0 qy = 0 if eq != None: qx,qy = eq K1 = np.mat([ [ E*A/L, 0, 0, -E*A/L, 0, 0 ], [ 0, 12*E*I/L**3, 6*E*I/L**2, 0, -12*E*I/L**3, 6*E*I/L**2], [ 0, 6*E*I/L**2, 4*E*I/L, 0, -6*E*I/L**2, 2*E*I/L ], [-E*A/L, 0, 0, E*A/L, 0, 0 ], [ 0, -12*E*I/L**3,-6*E*I/L**2, 0, 12*E*I/L**3,-6*E*I/L**2], [ 0, 6*E*I/L**2, 2*E*I/L, 0, -6*E*I/L**2, 4*E*I/L ] ]) K2 = L/420*np.mat([ [ 140*ka, 0, 0, 70*ka, 0, 0 ], [ 0, 156*kt, 22*kt*L, 0, 54*kt, -13*kt*L ], [ 0, 22*kt*L, 4*kt*L**2, 0, 13*kt*L,-3*kt*L**2], [ 70*ka, 0, 0, 140*ka, 0, 0 ], [ 0, 54*kt, 13*kt*L, 0, 156*kt, -22*kt*L ], [ 0, -13*kt*L,-3*kt*L**2, 0, -22*kt*L, 4*kt*L**2] ]) Kle = K1+K2 fle = L*np.mat([qx/2, qy/2, qy*L/12, qx/2, qy/2, -qy*L/12]).T G = np.mat([ [ n[0], n[1], 0, 0, 0, 0], [-n[1], n[0], 0, 0, 0, 0], [ 0, 0, 1, 0, 0, 0], [ 0, 0, 0, n[0], n[1], 0], [ 0, 0, 0,-n[1], n[0], 0], [ 0, 0, 0, 0, 0, 1] ]) P = Kle*G*np.asmatrix(ed).T-fle es = np.mat([ [-P[0,0],-P[1,0],-P[2,0]], [ P[3,0], P[4,0], P[5,0]] ]) return es def beam2g(ex,ey,ep,N,eq=None): """ Compute the element stiffness matrix for a two dimensional beam element with respect to geometric nonlinearity. Parameters: ex = [x1, x2] ey = [y1, y2] element node coordinates ep = [E,A,I] element properties; E: Young's modulus A: cross section area I: moment of inertia N axial force in the beam eq distributed transverse load Returns: Ke element stiffness matrix (6 x 6) fe element load vector (6 x 1) """ if eq != None: if np.size(eq) > 1: cferror("eq should be a scalar !!!") return else: q = eq[0] else: q = 0 b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b/L).reshape(2,) E,A,I = ep rho = -N*L**2/(np.pi**2*E*I) kL = np.pi*np.sqrt(abs(rho))+np.finfo(float).eps if rho > 0: f1 = (kL/2)/np.tan(kL/2) f2 = (1/12.)*kL**2/(1-f1) f3 = f1/4+3*f2/4 f4 = -f1/2+3*f2/2 f5 = f1*f2 h = 6*(2/kL**2-(1+np.cos(kL))/(kL*np.sin(kL))) elif rho < 0: f1 = (kL/2)/np.tanh(kL/2) f2 = -(1/12.)*kL**2/(1-f1) f3 = f1/4+3*f2/4 f4 = -f1/2+3*f2/2 f5 = f1*f2 h = -6*(2/kL**2-(1+np.cosh(kL))/(kL*np.sinh(kL))) else: f1 = f2 = f3 = f4 = f5 = h = 1 Kle = np.mat([ [ E*A/L, 0., 0., -E*A/L, 0., 0. ], [ 0., 12*E*I*f5/L**3., 6*E*I*f2/L**2., 0., -12*E*I*f5/L**3., 6*E*I*f2/L**2.], [ 0., 6*E*I*f2/L**2., 4*E*I*f3/L, 0., -6*E*I*f2/L**2., 2*E*I*f4/L ], [-E*A/L, 0., 0., E*A/L, 0., 0. ], [ 0., -12*E*I*f5/L**3.,-6*E*I*f2/L**2., 0., 12*E*I*f5/L**3.,-6*E*I*f2/L**2.], [ 0., 6*E*I*f2/L**2., 2*E*I*f4/L, 0., -6*E*I*f2/L**2., 4*E*I*f3/L ] ]) fle = q*L*np.mat([0.,1/2.,L*h/12,0.,1/2.,-L*h/12]).T G = np.mat([ [ n[0], n[1], 0, 0, 0, 0], [-n[1], n[0], 0, 0, 0, 0], [ 0, 0, 1, 0, 0, 0], [ 0, 0, 0, n[0], n[1], 0], [ 0, 0, 0,-n[1], n[0], 0], [ 0, 0, 0, 0, 0, 1] ]) Ke = G.T*Kle*G fe = G.T*fle if eq != None: return Ke,fe else: return Ke def beam2gs(ex,ey,ep,ed,N,eq=None): """ Calculate section forces in a two dimensional nonlinear beam element. Parameters: ex = [x1, x2] ey = [y1, y2] element node coordinates ep = [E,A,I] element properties; E: Young's modulus A: cross section area I: moment of inertia ed = [u1, ... ,u6] element displacement vector N axial force eq = [qy] distributed transverse load Returns: es = [[N1,V1,M1], element forces, local directions [N2,V2,M2]] """ if eq != None: eq = eq[0] else: eq = 0 b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b/L).reshape(2,) E,A,I = ep rho = -N*L**2/(np.pi**2*E*I) eps = 2.2204e-16 kL = np.pi*np.sqrt(abs(rho))+eps if rho > 0: f1 = (kL/2)/np.tan(kL/2) f2 = (1/12.)*kL**2/(1-f1) f3 = f1/4+3*f2/4 f4 = -f1/2+3*f2/2 f5 = f1*f2 h = 6*(2/kL**2-(1+np.cos(kL))/(kL*np.sin(kL))) elif rho < 0: f1 = (kL/2)/np.tanh(kL/2) f2 = -(1/12.)*kL**2/(1-f1) f3 = f1/4+3*f2/4 f4 = -f1/2+3*f2/2 f5 = f1*f2 h = -6*(2/kL**2-(1+np.cosh(kL))/(kL*np.sinh(kL))) else: f1 = f2 = f3 = f4 = f5 = h = 1 Kle = np.mat([ [ E*A/L, 0, 0, -E*A/L, 0, 0 ], [ 0, 12*E*I*f5/L**3, 6*E*I*f2/L**2, 0, -12*E*I*f5/L**3, 6*E*I*f2/L**2], [ 0, 6*E*I*f2/L**2, 4*E*I*f3/L, 0, -6*E*I*f2/L**2, 2*E*I*f4/L ], [-E*A/L, 0, 0, E*A/L, 0, 0 ], [ 0, -12*E*I*f5/L**3,-6*E*I*f2/L**2, 0, 12*E*I*f5/L**3,-6*E*I*f2/L**2], [ 0, 6*E*I*f2/L**2, 2*E*I*f4/L, 0, -6*E*I*f2/L**2, 4*E*I*f3/L ] ]) fle = eq*L*np.mat([0,1/2.,L*h/12,0,1/2.,-L*h/12]).T G = np.mat([ [ n[0], n[1], 0, 0, 0, 0], [-n[1], n[0], 0, 0, 0, 0], [ 0, 0, 1, 0, 0, 0], [ 0, 0, 0, n[0], n[1], 0], [ 0, 0, 0,-n[1], n[0], 0], [ 0, 0, 0, 0, 0, 1] ]) u = np.asmatrix(ed).T P = Kle*G*u-fle es = np.mat([ [-P[0,0],-P[1,0],-P[2,0]], [ P[3,0], P[4,0], P[5,0]] ]) return es def beam2d(ex,ey,ep): """ Calculate the stiffness matrix Ke, the mass matrix Me and the damping matrix Ce for a 2D elastic Bernoulli beam element. Parameters: ex = [x1, x2] ey = [y1, y2] element node coordinates ep = [E,A,I,m,(a,b)] element properties; E: Young's modulus A: cross section area I: moment of inertia m: mass per unit length a,b: damping coefficients, Ce=aMe+bKe Returns: Ke element stiffness matrix (6 x 6) Me element mass martix Ce element damping matrix, optional """ b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n = np.asarray(b/L).reshape(2,) a = 0 b = 0 if np.size(ep) == 4: E,A,I,m = ep elif np.size(ep) == 6: E,A,I,m,a,b = ep Kle = np.mat([ [ E*A/L, 0, 0, -E*A/L, 0, 0 ], [ 0, 12*E*I/L**3, 6*E*I/L**2, 0, -12*E*I/L**3, 6*E*I/L**2], [ 0, 6*E*I/L**2, 4*E*I/L, 0, -6*E*I/L**2, 2*E*I/L ], [-E*A/L, 0, 0, E*A/L, 0, 0 ], [ 0, -12*E*I/L**3,-6*E*I/L**2, 0, 12*E*I/L**3,-6*E*I/L**2], [ 0, 6*E*I/L**2, 2*E*I/L, 0, -6*E*I/L**2, 4*E*I/L ] ]) Mle = m*L/420*np.mat([ [ 140, 0, 0, 70, 0, 0 ], [ 0, 156, 22*L, 0, 54, -13*L ], [ 0, 22*L, 4*L**2, 0, 13*L,-3*L**2], [ 70, 0, 0, 140, 0, 0 ], [ 0, 54, 13*L, 0, 156, -22*L ], [ 0, -13*L,-3*L**2, 0, -22*L, 4*L**2] ]) Cle = a*Mle+b*Kle G = np.mat([ [ n[0], n[1], 0, 0, 0, 0], [-n[1], n[0], 0, 0, 0, 0], [ 0, 0, 1, 0, 0, 0], [ 0, 0, 0, n[0], n[1], 0], [ 0, 0, 0,-n[1], n[0], 0], [ 0, 0, 0, 0, 0, 1] ]) Ke = G.T*Kle*G Me = G.T*Mle*G Ce = G.T*Cle*G if np.size(ep) == 4: return Ke,Me elif np.size(ep) == 6: return Ke,Me,Ce def beam3e(ex,ey,ez,eo,ep,eq=None): """ Calculate the stiffness matrix for a 3D elastic Bernoulli beam element. Parameters: ex = [x1 x2] ey = [y1 y2] ez = [z1 z2] element node coordinates eo = [xz yz zz] orientation of local z axis ep = [E G A Iy Iz Kv] element properties E: Young's modulus G: Shear modulus A: Cross section area Iy: Moment of inertia, local y-axis Iz: Moment of inertia, local z-axis Kv: Saint-Venant's torsion constant eq = [qx qy qz qw] distributed loads Returns: Ke beam stiffness matrix (12 x 12) fe equivalent nodal forces (12 x 1) """ b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]], [ez[1]-ez[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n1 = np.asarray(b.T/L).reshape(3,) eo = np.asmatrix(eo) lc = np.asscalar(np.sqrt(eo*eo.T)) n3 = np.asarray(eo/lc).reshape(3,) E,Gs,A,Iy,Iz,Kv = ep qx = 0. qy = 0. qz = 0. qw = 0. if eq != None: qx,qy,qz,qw = eq a = E*A/L b = 12*E*Iz/L**3 c = 6*E*Iz/L**2 d = 12*E*Iy/L**3 e = 6*E*Iy/L**2 f = Gs*Kv/L g = 2*E*Iy/L h = 2*E*Iz/L Kle = np.mat([ [ a, 0, 0, 0, 0, 0, -a, 0, 0, 0, 0, 0 ], [ 0, b, 0, 0, 0, c, 0,-b, 0, 0, 0, c ], [ 0, 0, d, 0,-e, 0, 0, 0,-d, 0,-e, 0 ], [ 0, 0, 0, f, 0, 0, 0, 0, 0,-f, 0, 0 ], [ 0, 0,-e, 0, 2*g, 0, 0, 0, e, 0, g, 0 ], [ 0, c, 0, 0, 0, 2*h, 0,-c, 0, 0, 0, h ], [-a, 0, 0, 0, 0, 0, a, 0, 0, 0, 0, 0 ], [ 0,-b, 0, 0, 0, -c, 0, b, 0, 0, 0, -c ], [ 0, 0,-d, 0, e, 0, 0, 0, d, 0, e, 0 ], [ 0, 0, 0,-f, 0, 0, 0, 0, 0, f, 0, 0 ], [ 0, 0,-e, 0, g, 0, 0, 0, e, 0, 2*g, 0 ], [ 0, c, 0, 0, 0, h, 0,-c, 0, 0, 0, 2*h] ]) fle = L/2*np.mat([qx, qy, qz, qw, -qz*L/6, qy*L/6, qx, qy, qz, qw, qz*L/6, -qy*L/6]).T n2 = np.array([0.,0.,0.]) n2[0] = n3[1]*n1[2]-n3[2]*n1[1] n2[1] = -n1[2]*n3[0]+n1[0]*n3[2] n2[2] = n3[0]*n1[1]-n1[0]*n3[1] #An = np.append([n1,n2],[n3],0) G = np.mat([ [ n1[0], n1[1], n1[2], 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ n2[0], n2[1], n2[2], 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ n3[0], n3[1], n3[2], 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, n1[0], n1[1], n1[2], 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, n2[0], n2[1], n2[2], 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, n3[0], n3[1], n3[2], 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, n1[0], n1[1], n1[2], 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, n2[0], n2[1], n2[2], 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, n3[0], n3[1], n3[2], 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, n1[0], n1[1], n1[2]], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, n2[0], n2[1], n2[2]], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, n3[0], n3[1], n3[2]] ]) Ke = G.T*Kle*G fe = G.T*fle if eq == None: return Ke else: return Ke,fe def beam3s(ex,ey,ez,eo,ep,ed,eq=None,n=None): """ Calculate the variation of the section forces and displacements along a three-dimensional beam element. Parameters: ex = [x1 x2] element node coordinates ey = [y1 y2] ez = [z1 z2] eo = [xz yz zz] orientation of local z axis ep = [E G A Iy Iz Kv] element properties E: Young's modulus G: Shear modulus A: Cross section area Iy: Moment of inertia, local y-axis Iz: Moment of inertia, local z-axis Kv: Saint-Venant's torsion constant ed the element displacement vector from the global coordinate system eq = [qx qy qz qw] the disibuted axial, transversal and torsional loads n the number of point in which displacements and section forces are to be computed Returns: es = [[N1,Vy1,Vz1,T1,My1,Mz1], section forces in n points along [N2,Vy2,Vz2,T2,My2,Mz2], the local x-axis [..,...,...,..,...,...], [Nn,Vyn,Vzn,Tn,Myn,Mzn]] edi = [[u1,v1,w1,fi1], displacements in n points along [u2,v2,w2,fi2], the local x-axis [..,..,..,...], [un,vn,wn,fin]] eci = [[x1], local x-coordinates of the evaluation [x2], points [..], [xn]] """ b = np.mat([ [ex[1]-ex[0]], [ey[1]-ey[0]], [ez[1]-ez[0]] ]) L = np.asscalar(np.sqrt(b.T*b)) n1 = np.asarray(b.T/L).reshape(3,) eo = np.asmatrix(eo) lc = np.asscalar(np.sqrt(eo*eo.T)) n3 = np.asarray(eo/lc).reshape(3,) EA = ep[0]*ep[2] EIy = ep[0]*ep[3] EIz = ep[0]*ep[4] GKv = ep[1]*ep[5] qx = 0. qy = 0. qz = 0. qw = 0. if eq != None: qx,qy,qz,qw = eq ne = 2 if n != None: ne = n n2 = np.array([0.,0.,0.]) n2[0] = n3[1]*n1[2]-n3[2]*n1[1] n2[1] = -n1[2]*n3[0]+n1[0]*n3[2] n2[2] = n3[0]*n1[1]-n1[0]*n3[1] G = np.mat([ [ n1[0], n1[1], n1[2], 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ n2[0], n2[1], n2[2], 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ n3[0], n3[1], n3[2], 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, n1[0], n1[1], n1[2], 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, n2[0], n2[1], n2[2], 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, n3[0], n3[1], n3[2], 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, n1[0], n1[1], n1[2], 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, n2[0], n2[1], n2[2], 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, n3[0], n3[1], n3[2], 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, n1[0], n1[1], n1[2]], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, n2[0], n2[1], n2[2]], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, n3[0], n3[1], n3[2]] ]) u = G*np.asmatrix(ed).T-np.array([ # u is the local element displacement [ 0 ], # vector minus the particular solution [ 0 ], # to the beam's diff.eq:s [ 0 ], [ 0 ], [ 0 ], [ 0 ], [-qx*L**2/(2*EA) ], [ qy*L**4/(24*EIz)], [ qz*L**4/(24*EIy)], [-qw*L**2/(2*GKv) ], [-qz*L**3/(6*EIy) ], [ qy*L**3/(6*EIz) ] ]) C = np.mat([ [ 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], [ 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [ 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [ L, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,], [ 0, 0, L**3, L**2, L, 1, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, L**3, L**2, L, 1, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, L, 1], [ 0, 0, 0, 0, 0, 0,-3*L**2,-2*L, -1, 0, 0, 0], [ 0, 0, 3*L**2, 2*L, 1, 0, 0, 0, 0, 0, 0, 0], ]) m = np.linalg.inv(C)*u eci = np.zeros((ne,1)) es = np.zeros((ne,6)) edi = np.zeros((ne,4)) for i in np.arange(ne): x = i*L/(ne-1) eci[i,0] = x es[i,:] = (np.mat([ [ EA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0,-6*EIz, 0, 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0,-6*EIy, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, GKv, 0], [ 0, 0, 0, 0, 0, 0,-6*EIy*x,-2*EIy, 0, 0, 0, 0], [ 0, 0, 6*EIz*x, 2*EIz, 0, 0, 0, 0, 0, 0, 0, 0] ])*m+np.array([-qx*x,-qy*x,-qz*x,-qw*x,-qz*x**2/2,qy*x**2/2]).reshape(6,1)).T edi[i,:] = (np.mat([ [ x, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [ 0, 0, x**3, x**2, x, 1, 0, 0, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 0, x**3, x**2, x, 1, 0, 0], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, x, 1] ])*m+np.array([-qx*x**2/(2*EA),qy*x**4/(24*EIz),qz*x**4/(24*EIy),-qw*x**2/(2*GKv)]).reshape(4,1)).T if n == None: return es else: return es,edi,eci def flw2te(ex,ey,ep,D,eq=None): """ Compute element stiffness (conductivity) matrix for a triangular field element. Parameters: ex = [x1 x2 x3] ey = [y1 y2 y3] element coordinates ep = [t] element thickness D = [kxx kxy; kyx kyy] constitutive matrix eq heat supply per unit volume Returns: Ke element 'stiffness' matrix (3 x 3) fe element load vector (3 x 1) """ t=ep[0]; if eq==None: eq=0. exm = np.asmatrix(ex) eym = np.asmatrix(ey) C=np.asmatrix(np.hstack([np.ones((3,1)),exm.T,eym.T])) B=np.matrix([ [0.,1.,0.], [0.,0.,1.] ])*C.I A=0.5*np.linalg.det(C) Ke=B.T*D*B*t*A fe=np.matrix([[1.,1.,1.]]).T*eq*A*t/3 if eq==0.: return Ke else: return Ke, fe def flw2ts(ex,ey,D,ed): """ Compute flows or corresponding quantities in the triangular field element. Parameters: ex = [x1 x2 x3] ey = [y1 y2 y3] element coordinates D = [kxx kxy kyx kyy] constitutive matrix ed =[u1 u2 u3] u1,u2,u3: nodal values .. .. ..; Returns: es=[ qx qy ] ... ..] element flows et=[ gx gy ] ... ..] element gradients """ if len(ex.shape)>1: qs = np.zeros([ex.shape[0],2]) qt = np.zeros([ex.shape[0],2]) row = 0 for exr, eyr, edr in zip(ex, ey, ed): exm = np.asmatrix(exr) eym = np.asmatrix(eyr) edm = np.asmatrix(edr) C=np.asmatrix(np.hstack([np.ones((3,1)),exm.T,eym.T])) B=np.matrix([ [0.,1.,0.], [0.,0.,1.] ])*C.I qs[row,:]=(-D*B*edm.T).T qt[row,:]=(B*edm.T).T row += 1 return qs, qt else: exm = np.asmatrix(ex) eym = np.asmatrix(ey) edm = np.asmatrix(ed) C=np.asmatrix(np.hstack([np.ones((3,1)),exm.T,eym.T])) B=np.matrix([ [0.,1.,0.], [0.,0.,1.] ])*C.I qs=-D*B*edm.T qt=B*edm.T return qs.T, qt.T def flw2qe(ex,ey,ep,D,eq=None): """ Compute element stiffness (conductivity) matrix for a triangular field element. Parameters: ex = [x1, x2, x3, x4] ey = [y1, y2, y3, y4] element coordinates ep = [t] element thickness D = [[kxx, kxy], [kyx, kyy]] constitutive matrix eq heat supply per unit volume Returns: Ke element 'stiffness' matrix (4 x 4) fe element load vector (4 x 1) """ xc = sum(ex)/4. yc = sum(ey)/4. K = np.zeros((5,5)) f = np.zeros((5,1)) if eq == None: k1 = flw2te([ex[0],ex[1],xc],[ey[0],ey[1],yc],ep,D) K = assem(np.array([1,2,5]),K,k1) k1 = flw2te([ex[1],ex[2],xc],[ey[1],ey[2],yc],ep,D) K = assem(np.array([2,3,5]),K,k1) k1 = flw2te([ex[2],ex[3],xc],[ey[2],ey[3],yc],ep,D) K = assem(np.array([3,4,5]),K,k1) k1 = flw2te([ex[3],ex[0],xc],[ey[3],ey[0],yc],ep,D) K = assem(np.array([4,1,5]),K,k1) else: k1,f1 = flw2te([ex[0],ex[1],xc],[ey[0],ey[1],yc],ep,D,eq) K,f = assem(np.array([1,2,5]),K,k1,f,f1) k1,f1 = flw2te([ex[1],ex[2],xc],[ey[1],ey[2],yc],ep,D,eq) K,f = assem(np.array([2,3,5]),K,k1,f,f1) k1,f1 = flw2te([ex[2],ex[3],xc],[ey[2],ey[3],yc],ep,D,eq) K,f = assem(np.array([3,4,5]),K,k1,f,f1) k1,f1 = flw2te([ex[3],ex[0],xc],[ey[3],ey[0],yc],ep,D,eq) K,f = assem(np.array([4,1,5]),K,k1,f,f1) Ke1,fe1 = statcon(K,f,np.array([5])); Ke = Ke1 fe = fe1 if eq == None: return Ke else: return Ke,fe def flw2qs(ex,ey,ep,D,ed,eq=None): """ Compute flows or corresponding quantities in the quadrilateral field element. Parameters: ex = [x1, x2, x3, x4] ey = [y1, y2, y3, y4] element coordinates ep = [t] element thickness D = [[kxx, kxy], [kyx, kyy]] constitutive matrix ed = [[u1, u2, u3, u4], [.., .., .., ..]] u1,u2,u3,u4: nodal values eq heat supply per unit volume Returns: es = [[qx, qy], [.., ..]] element flows et = [[gx, gy], [.., ..]] element gradients """ K = np.zeros((5,5)) f = np.zeros((5,1)) xm = sum(ex)/4 ym = sum(ey)/4 if eq == None: q = 0 else: q = eq En = np.array([ [1,2,5], [2,3,5], [3,4,5], [4,1,5] ]) ex1 = np.array([ex[0],ex[1],xm]) ey1 = np.array([ey[0],ey[1],ym]) ex2 = np.array([ex[1],ex[2],xm]) ey2 = np.array([ey[1],ey[2],ym]) ex3 = np.array([ex[2],ex[3],xm]) ey3 = np.array([ey[2],ey[3],ym]) ex4 = np.array([ex[3],ex[0],xm]) ey4 = np.array([ey[3],ey[0],ym]) if eq == None: k1 = flw2te(ex1,ey1,ep,D) K = assem(En[0],K,k1) k1 = flw2te(ex2,ey2,ep,D) K = assem(En[1],K,k1) k1 = flw2te(ex3,ey3,ep,D) K = assem(En[2],K,k1) k1 = flw2te(ex4,ey4,ep,D) K = assem(En[3],K,k1) else: k1,f1 = flw2te(ex1,ey1,ep,D,q) K,f = assem(En[0],K,k1,f,f1) k1,f1 = flw2te(ex2,ey2,ep,D,q) K,f = assem(En[1],K,k1,f,f1) k1,f1 = flw2te(ex3,ey3,ep,D,q) K,f = assem(En[2],K,k1,f,f1) k1,f1 = flw2te(ex4,ey4,ep,D,q) K,f = assem(En[3],K,k1,f,f1) if ed.ndim==1: ed = np.array([ed]) ni,nj = np.shape(ed) a = np.zeros((5,ni)) for i in range(ni): a[np.ix_(range(5),[i])],r = np.asarray(solveq(K,f,np.arange(1,5),ed[i])) s1,t1 = flw2ts(ex1,ey1,D,a[np.ix_(En[0,:]-1,np.arange(ni))].T) s2,t2 = flw2ts(ex2,ey2,D,a[np.ix_(En[1,:]-1,np.arange(ni))].T) s3,t3 = flw2ts(ex3,ey3,D,a[np.ix_(En[2,:]-1,np.arange(ni))].T) s4,t4 = flw2ts(ex4,ey4,D,a[np.ix_(En[3,:]-1,np.arange(ni))].T) es = (s1+s2+s3+s4)/4. et = (t1+t2+t3+t4)/4. return es,et def flw2i4e(ex,ey,ep,D,eq=None): """ Compute element stiffness (conductivity) matrix for 4 node isoparametric field element Parameters: ex = [x1 x2 x3 x4] element coordinates ey = [y1 y2 y3 y4] ep = [t ir] thickness and integration rule D = [[kxx kxy], [kyx kyy]] constitutive matrix eq heat supply per unit volume Returns: Ke element 'stiffness' matrix (4 x 4) fe element load vector (4 x 1) """ t = ep[0] ir = ep[1] ngp = ir*ir if eq == None: q = 0 else: q = eq if ir == 1: g1 = 0.0 w1 = 2.0 gp = np.mat([g1,g1]) w = np.mat([w1,w1]) elif ir == 2: g1 = 0.577350269189626 w1 = 1 gp = np.mat([ [-g1,-g1], [ g1,-g1], [-g1, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w1, w1], [ w1, w1], [ w1, w1] ]) elif ir == 3: g1 = 0.774596669241483 g2 = 0. w1 = 0.555555555555555 w2 = 0.888888888888888 gp = np.mat([ [-g1,-g1], [-g2,-g1], [ g1,-g1], [-g1, g2], [ g2, g2], [ g1, g2], [-g1, g1], [ g2, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w2, w1], [ w1, w1], [ w1, w2], [ w2, w2], [ w1, w2], [ w1, w1], [ w2, w1], [ w1, w1] ]) else: cfinfo("Used number of integration points not implemented") wp = np.multiply(w[:,0],w[:,1]) xsi = gp[:,0] eta = gp[:,1] r2 = ngp*2 N = np.multiply((1-xsi),(1-eta))/4. N = np.append(N,np.multiply((1+xsi),(1-eta))/4.,axis=1) N = np.append(N,np.multiply((1+xsi),(1+eta))/4.,axis=1) N = np.append(N,np.multiply((1-xsi),(1+eta))/4.,axis=1) dNr = np.mat(np.zeros((r2,4))) dNr[0:r2:2,0] = -(1-eta)/4. dNr[0:r2:2,1] = (1-eta)/4. dNr[0:r2:2,2] = (1+eta)/4. dNr[0:r2:2,3] = -(1+eta)/4. dNr[1:r2+1:2,0] = -(1-xsi)/4. dNr[1:r2+1:2,1] = -(1+xsi)/4. dNr[1:r2+1:2,2] = (1+xsi)/4. dNr[1:r2+1:2,3] = (1-xsi)/4. Ke1 = np.mat(np.zeros((4,4))) fe1 = np.mat(np.zeros((4,1))) JT = dNr*np.mat([ex,ey]).T for i in range(ngp): indx = np.array([2*(i+1)-1,2*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobi determinant == 0") JTinv = np.linalg.inv(JT[indx-1,:]) B = JTinv*dNr[indx-1,:] Ke1 = Ke1+B.T*D*B*detJ*np.asscalar(wp[i]) fe1 = fe1+N[i,:].T*detJ*wp[i] if eq == None: return Ke1*t else: return Ke1*t,fe1*t*eq def flw2i4s(ex,ey,ep,D,ed): """ Compute flows or corresponding quantities in the 4 node isoparametric element. Parameters: ex = [x1 x2 x3 x4] element coordinates ey = [y1 y2 y3 y4] ep = [t ir] thickness and integration rule D = [[kxx kxy], [kyx kyy]] constitutive matrix ed = [u1, u2, u3, u4] u1,u2,u3,u4: nodal values Returns: es = [[qx, qy], [.., ..]] element flows et = [[qx, qy], [... ..]] element gradients eci=[[ix1, iy1], Gauss point location vector [... ...], nint: number of integration points [ix(nint), iy(nint)] """ t = ep[0] ir = ep[1] ngp = ir*ir if ir == 1: g1 = 0.0 w1 = 2.0 gp = np.mat([g1,g1]) w = np.mat([w1,w1]) elif ir == 2: g1 = 0.577350269189626 w1 = 1 gp = np.mat([ [-g1,-g1], [ g1,-g1], [-g1, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w1, w1], [ w1, w1], [ w1, w1] ]) elif ir == 3: g1 = 0.774596669241483 g2 = 0. w1 = 0.555555555555555 w2 = 0.888888888888888 gp = np.mat([ [-g1,-g1], [-g2,-g1], [ g1,-g1], [-g1, g2], [ g2, g2], [ g1, g2], [-g1, g1], [ g2, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w2, w1], [ w1, w1], [ w1, w2], [ w2, w2], [ w1, w2], [ w1, w1], [ w2, w1], [ w1, w1] ]) else: cfinfo("Used number of integration points not implemented") wp = np.multiply(w[:,0],w[:,1]) xsi = gp[:,0] eta = gp[:,1] r2 = ngp*2 N = np.multiply((1-xsi),(1-eta))/4. N = np.append(N,np.multiply((1+xsi),(1-eta))/4.,axis=1) N = np.append(N,np.multiply((1+xsi),(1+eta))/4.,axis=1) N = np.append(N,np.multiply((1-xsi),(1+eta))/4.,axis=1) dNr = np.mat(np.zeros((r2,4))) dNr[0:r2:2,0] = -(1-eta)/4. dNr[0:r2:2,1] = (1-eta)/4. dNr[0:r2:2,2] = (1+eta)/4. dNr[0:r2:2,3] = -(1+eta)/4. dNr[1:r2+1:2,0] = -(1-xsi)/4. dNr[1:r2+1:2,1] = -(1+xsi)/4. dNr[1:r2+1:2,2] = (1+xsi)/4. dNr[1:r2+1:2,3] = (1-xsi)/4. eci = N*np.mat([ex,ey]).T if ed.ndim == 1: ed = np.array([ed]) red,ced = np.shape(ed) JT = dNr*np.mat([ex,ey]).T es = np.mat(np.zeros((ngp*red,2))) et = np.mat(np.zeros((ngp*red,2))) for i in range(ngp): indx = np.array([2*(i+1)-1,2*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobi determinatn == 0") JTinv = np.linalg.inv(JT[indx-1,:]) B = JTinv*dNr[indx-1,:] p1 = -D*B*ed.T p2 = B*ed.T es[i:ngp*red:ngp,:] = p1.T et[i:ngp*red:ngp,:] = p2.T return es,et,eci def flw2i8e(ex,ey,ep,D,eq=None): """ Compute element stiffness (conductivity) matrix for 8 node isoparametric field element. Parameters: ex = [x1, ..., x8] element coordinates ey = [y1, ..., y8] ep = [t, ir] thickness and integration rule D = [[kxx, kxy], [kyx, kyy]] constitutive matrix eq heat supply per unit volume Returns: Ke element 'stiffness' matrix (8 x 8) fe element load vector (8 x 1) """ t = ep[0] ir = ep[1] ngp = ir*ir if eq == None: q = 0 else: q = eq if ir == 1: g1 = 0.0 w1 = 2.0 gp = np.mat([g1,g1]) w = np.mat([w1,w1]) elif ir == 2: g1 = 0.577350269189626 w1 = 1 gp = np.mat([ [-g1,-g1], [ g1,-g1], [-g1, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w1, w1], [ w1, w1], [ w1, w1] ]) elif ir == 3: g1 = 0.774596669241483 g2 = 0. w1 = 0.555555555555555 w2 = 0.888888888888888 gp = np.mat([ [-g1,-g1], [-g2,-g1], [ g1,-g1], [-g1, g2], [ g2, g2], [ g1, g2], [-g1, g1], [ g2, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w2, w1], [ w1, w1], [ w1, w2], [ w2, w2], [ w1, w2], [ w1, w1], [ w2, w1], [ w1, w1] ]) else: cfinfo("Used number of integration points not implemented") wp = np.multiply(w[:,0],w[:,1]) xsi = gp[:,0] eta = gp[:,1] r2 = ngp*2 N = np.multiply(np.multiply(-(1-xsi),(1-eta)),(1+xsi+eta))/4. N = np.append(N,np.multiply(np.multiply(-(1+xsi),(1-eta)),(1-xsi+eta))/4.,axis=1) N = np.append(N,np.multiply(np.multiply(-(1+xsi),(1+eta)),(1-xsi-eta))/4.,axis=1) N = np.append(N,np.multiply(np.multiply(-(1-xsi),(1+eta)),(1+xsi-eta))/4.,axis=1) N = np.append(N,np.multiply((1-np.multiply(xsi,xsi)),(1-eta))/2.,axis=1) N = np.append(N,np.multiply((1+xsi),(1-np.multiply(eta,eta)))/2.,axis=1) N = np.append(N,np.multiply((1-np.multiply(xsi,xsi)),(1+eta))/2.,axis=1) N = np.append(N,np.multiply((1-xsi),(1-np.multiply(eta,eta)))/2.,axis=1) dNr = np.mat(np.zeros((r2,8))) dNr[0:r2:2,0] = -(-np.multiply((1-eta),(1+xsi+eta))+np.multiply((1-xsi),(1-eta)))/4. dNr[0:r2:2,1] = -(np.multiply((1-eta),(1-xsi+eta))-np.multiply((1+xsi),(1-eta)))/4. dNr[0:r2:2,2] = -(np.multiply((1+eta),(1-xsi-eta))-np.multiply((1+xsi),(1+eta)))/4. dNr[0:r2:2,3] = -(-np.multiply((1+eta),(1+xsi-eta))+np.multiply((1-xsi),(1+eta)))/4. dNr[0:r2:2,4] = -np.multiply(xsi,(1-eta)) dNr[0:r2:2,5] = (1-np.multiply(eta,eta))/2. dNr[0:r2:2,6] = -np.multiply(xsi,(1+eta)) dNr[0:r2:2,7] = -(1-np.multiply(eta,eta))/2. dNr[1:r2+1:2,0] = -(-np.multiply((1-xsi),(1+xsi+eta))+np.multiply((1-xsi),(1-eta)))/4. dNr[1:r2+1:2,1] = -(-np.multiply((1+xsi),(1-xsi+eta))+np.multiply((1+xsi),(1-eta)))/4. dNr[1:r2+1:2,2] = -(np.multiply((1+xsi),(1-xsi-eta))-np.multiply((1+xsi),(1+eta)))/4. dNr[1:r2+1:2,3] = -(np.multiply((1-xsi),(1+xsi-eta))-np.multiply((1-xsi),(1+eta)))/4. dNr[1:r2+1:2,4] = -(1-np.multiply(xsi,xsi))/2. dNr[1:r2+1:2,5] = -np.multiply(eta,(1+xsi)) dNr[1:r2+1:2,6] = (1-np.multiply(xsi,xsi))/2. dNr[1:r2+1:2,7] = -np.multiply(eta,(1-xsi)) Ke1 = np.mat(np.zeros((8,8))) fe1 = np.mat(np.zeros((8,1))) JT = dNr*np.mat([ex,ey]).T for i in range(ngp): indx = np.array([2*(i+1)-1,2*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobideterminanten lika med noll!") JTinv = np.linalg.inv(JT[indx-1,:]) B = JTinv*dNr[indx-1,:] Ke1 = Ke1+B.T*D*B*detJ*np.asscalar(wp[i]) fe1 = fe1+N[i,:].T*detJ*wp[i] if eq != None: return Ke1*t,fe1*t*q else: return Ke1*t def flw2i8s(ex,ey,ep,D,ed): """ Compute flows or corresponding quantities in the 8 node isoparametric element. Parameters: ex = [x1,x2,x3....,x8] element coordinates ey = [y1,y2,y3....,y8] ep = [t,ir] thickness and integration rule D = [[kxx,kxy], [kyx,kyy]] constitutive matrix ed = [u1,....,u8] u1,....,u8: nodal values Returns: es = [[qx,qy], [..,..]] element flows et = [[qx,qy], [..,..]] element gradients eci=[[ix1,iy1], Gauss point location vector [...,...], nint: number of integration points [ix(nint),iy(nint)]] """ t = ep[0] ir = ep[1] ngp = ir*ir if ir == 1: g1 = 0.0 w1 = 2.0 gp = np.mat([g1,g1]) w = np.mat([w1,w1]) elif ir == 2: g1 = 0.577350269189626 w1 = 1 gp = np.mat([ [-g1,-g1], [ g1,-g1], [-g1, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w1, w1], [ w1, w1], [ w1, w1] ]) elif ir == 3: g1 = 0.774596669241483 g2 = 0. w1 = 0.555555555555555 w2 = 0.888888888888888 gp = np.mat([ [-g1,-g1], [-g2,-g1], [ g1,-g1], [-g1, g2], [ g2, g2], [ g1, g2], [-g1, g1], [ g2, g1], [ g1, g1] ]) w = np.mat([ [ w1, w1], [ w2, w1], [ w1, w1], [ w1, w2], [ w2, w2], [ w1, w2], [ w1, w1], [ w2, w1], [ w1, w1] ]) else: cfinfo("Used number of integration points not implemented") wp = np.multiply(w[:,0],w[:,1]) xsi = gp[:,0] eta = gp[:,1] r2 = ngp*2 N = np.multiply(np.multiply(-(1-xsi),(1-eta)),(1+xsi+eta))/4. N = np.append(N,np.multiply(np.multiply(-(1+xsi),(1-eta)),(1-xsi+eta))/4.,axis=1) N = np.append(N,np.multiply(np.multiply(-(1+xsi),(1+eta)),(1-xsi-eta))/4.,axis=1) N = np.append(N,np.multiply(np.multiply(-(1-xsi),(1+eta)),(1+xsi-eta))/4.,axis=1) N = np.append(N,np.multiply((1-np.multiply(xsi,xsi)),(1-eta))/2.,axis=1) N = np.append(N,np.multiply((1+xsi),(1-np.multiply(eta,eta)))/2.,axis=1) N = np.append(N,np.multiply((1-np.multiply(xsi,xsi)),(1+eta))/2.,axis=1) N = np.append(N,np.multiply((1-xsi),(1-np.multiply(eta,eta)))/2.,axis=1) dNr = np.mat(np.zeros((r2,8))) dNr[0:r2:2,0] = -(-np.multiply((1-eta),(1+xsi+eta))+np.multiply((1-xsi),(1-eta)))/4. dNr[0:r2:2,1] = -(np.multiply((1-eta),(1-xsi+eta))-np.multiply((1+xsi),(1-eta)))/4. dNr[0:r2:2,2] = -(np.multiply((1+eta),(1-xsi-eta))-np.multiply((1+xsi),(1+eta)))/4. dNr[0:r2:2,3] = -(-np.multiply((1+eta),(1+xsi-eta))+np.multiply((1-xsi),(1+eta)))/4. dNr[0:r2:2,4] = -np.multiply(xsi,(1-eta)) dNr[0:r2:2,5] = (1-np.multiply(eta,eta))/2. dNr[0:r2:2,6] = -np.multiply(xsi,(1+eta)) dNr[0:r2:2,7] = -(1-np.multiply(eta,eta))/2. dNr[1:r2+1:2,0] = -(-np.multiply((1-xsi),(1+xsi+eta))+np.multiply((1-xsi),(1-eta)))/4. dNr[1:r2+1:2,1] = -(-np.multiply((1+xsi),(1-xsi+eta))+np.multiply((1+xsi),(1-eta)))/4. dNr[1:r2+1:2,2] = -(np.multiply((1+xsi),(1-xsi-eta))-np.multiply((1+xsi),(1+eta)))/4. dNr[1:r2+1:2,3] = -(np.multiply((1-xsi),(1+xsi-eta))-np.multiply((1-xsi),(1+eta)))/4. dNr[1:r2+1:2,4] = -(1-np.multiply(xsi,xsi))/2. dNr[1:r2+1:2,5] = -np.multiply(eta,(1+xsi)) dNr[1:r2+1:2,6] = (1-np.multiply(xsi,xsi))/2. dNr[1:r2+1:2,7] = -np.multiply(eta,(1-xsi)) eci = N*np.mat([ex,ey]).T if ed.ndim == 1: ed = np.array([ed]) red,ced = np.shape(ed) JT = dNr*np.mat([ex,ey]).T es = np.mat(np.zeros((ngp*red,2))) et = np.mat(np.zeros((ngp*red,2))) for i in range(ngp): indx = np.array([2*(i+1)-1,2*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobi determinant == 0") JTinv = np.linalg.inv(JT[indx-1,:]) B = JTinv*dNr[indx-1,:] p1 = -D*B*ed.T p2 = B*ed.T es[i:ngp*red:ngp,:] = p1.T et[i:ngp*red:ngp,:] = p2.T return es,et,eci def flw3i8e(ex,ey,ez,ep,D,eq=None): """ Compute element stiffness (conductivity) matrix for 8 node isoparametric field element. Parameters: ex = [x1,x2,x3,...,x8] ey = [y1,y2,y3,...,y8] element coordinates ez = [z1,z2,z3,...,z8] ep = [ir] Ir: Integration rule D = [[kxx,kxy,kxz], [kyx,kyy,kyz], [kzx,kzy,kzz]] constitutive matrix eq heat supply per unit volume Output: Ke element 'stiffness' matrix (8 x 8) fe element load vector (8 x 1) """ ir = ep[0] ngp = ir*ir*ir if eq == None: q = 0 else: q = eq if ir == 2: g1 = 0.577350269189626 w1 = 1 gp = np.mat([ [-1,-1,-1], [ 1,-1,-1], [ 1, 1,-1], [-1, 1,-1], [-1,-1, 1], [ 1,-1, 1], [ 1, 1, 1], [-1, 1, 1] ])*g1 w = np.mat(np.ones((8,3)))*w1 elif ir == 3: g1 = 0.774596669241483 g2 = 0. w1 = 0.555555555555555 w2 = 0.888888888888888 gp = np.mat(np.zeros((27,3))) w = np.mat(np.zeros((27,3))) I1 = np.array([-1,0,1,-1,0,1,-1,0,1]) I2 = np.array([0,-1,0,0,1,0,0,1,0]) gp[:,0] = np.mat([I1,I1,I1]).reshape(27,1)*g1 gp[:,0] = np.mat([I2,I2,I2]).reshape(27,1)*g2+gp[:,0] I1 = abs(I1) I2 = abs(I2) w[:,0] = np.mat([I1,I1,I1]).reshape(27,1)*w1 w[:,0] = np.mat([I2,I2,I2]).reshape(27,1)*w2+w[:,0] I1 = np.array([-1,-1,-1,0,0,0,1,1,1]) I2 = np.array([0,0,0,1,1,1,0,0,0]) gp[:,1] = np.mat([I1,I1,I1]).reshape(27,1)*g1 gp[:,1] = np.mat([I2,I2,I2]).reshape(27,1)*g2+gp[:,1] I1 = abs(I1) I2 = abs(I2) w[:,1] = np.mat([I1,I1,I1]).reshape(27,1)*w1 w[:,1] = np.mat([I2,I2,I2]).reshape(27,1)*w2+w[:,1] I1 = np.array([-1,-1,-1,-1,-1,-1,-1,-1,-1]) I2 = np.array([0,0,0,0,0,0,0,0,0]) I3 = abs(I1) gp[:,2] = np.mat([I1,I2,I3]).reshape(27,1)*g1 gp[:,2] = np.mat([I2,I3,I2]).reshape(27,1)*g2+gp[:,2] w[:,2] = np.mat([I3,I2,I3]).reshape(27,1)*w1 w[:,2] = np.mat([I2,I3,I2]).reshape(27,1)*w2+w[:,2] else: cfinfo("Used number of integration points not implemented") return wp = np.multiply(np.multiply(w[:,0],w[:,1]),w[:,2]) xsi = gp[:,0] eta = gp[:,1] zet = gp[:,2] r2 = ngp*3 N = np.multiply(np.multiply((1-xsi),(1-eta)),(1-zet))/8. N = np.append(N,np.multiply(np.multiply((1+xsi),(1-eta)),(1-zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1+xsi),(1+eta)),(1-zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1-xsi),(1+eta)),(1-zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1-xsi),(1-eta)),(1+zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1+xsi),(1-eta)),(1+zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1+xsi),(1+eta)),(1+zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1-xsi),(1+eta)),(1+zet))/8.,axis=1) dNr = np.mat(np.zeros((r2,8))) dNr[0:r2:3,0]= np.multiply(-(1-eta),(1-zet)) dNr[0:r2:3,1]= np.multiply((1-eta),(1-zet)) dNr[0:r2:3,2]= np.multiply((1+eta),(1-zet)) dNr[0:r2:3,3]= np.multiply(-(1+eta),(1-zet)) dNr[0:r2:3,4]= np.multiply(-(1-eta),(1+zet)) dNr[0:r2:3,5]= np.multiply((1-eta),(1+zet)) dNr[0:r2:3,6]= np.multiply((1+eta),(1+zet)) dNr[0:r2:3,7]= np.multiply(-(1+eta),(1+zet)) dNr[1:r2+1:3,0] = np.multiply(-(1-xsi),(1-zet)) dNr[1:r2+1:3,1] = np.multiply(-(1+xsi),(1-zet)) dNr[1:r2+1:3,2] = np.multiply((1+xsi),(1-zet)) dNr[1:r2+1:3,3] = np.multiply((1-xsi),(1-zet)) dNr[1:r2+1:3,4] = np.multiply(-(1-xsi),(1+zet)) dNr[1:r2+1:3,5] = np.multiply(-(1+xsi),(1+zet)) dNr[1:r2+1:3,6] = np.multiply((1+xsi),(1+zet)) dNr[1:r2+1:3,7] = np.multiply((1-xsi),(1+zet)) dNr[2:r2+2:3,0] = np.multiply(-(1-xsi),(1-eta)) dNr[2:r2+2:3,1] = np.multiply(-(1+xsi),(1-eta)) dNr[2:r2+2:3,2] = np.multiply(-(1+xsi),(1+eta)) dNr[2:r2+2:3,3] = np.multiply(-(1-xsi),(1+eta)) dNr[2:r2+2:3,4] = np.multiply((1-xsi),(1-eta)) dNr[2:r2+2:3,5] = np.multiply((1+xsi),(1-eta)) dNr[2:r2+2:3,6] = np.multiply((1+xsi),(1+eta)) dNr[2:r2+2:3,7] = np.multiply((1-xsi),(1+eta)) dNr = dNr/8. Ke1 = np.mat(np.zeros((8,8))) fe1 = np.mat(np.zeros((8,1))) JT = dNr*np.mat([ex,ey,ez]).T for i in range(ngp): indx = np.array([3*(i+1)-2,3*(i+1)-1,3*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobi determinant == 0") JTinv = np.linalg.inv(JT[indx-1,:]) B = JTinv*dNr[indx-1,:] Ke1 = Ke1+B.T*D*B*detJ*np.asscalar(wp[i]) fe1 = fe1+N[i,:].T*detJ*wp[i] if eq != None: return Ke1,fe1*q else: return Ke1 def flw3i8s(ex,ey,ez,ep,D,ed): """ Compute flows or corresponding quantities in the 8 node (3-dim) isoparametric field element. Parameters: ex = [x1,x2,x3,...,x8] ey = [y1,y2,y3,...,y8] element coordinates ez = [z1,z2,z3,...,z8] ep = [ir] Ir: Integration rule D = [[kxx,kxy,kxz], [kyx,kyy,kyz], [kzx,kzy,kzz]] constitutive matrix ed = [[u1,....,u8], element nodal values [..,....,..]] Output: es = [[qx,qy,qz], [..,..,..]] element flows(s) et = [[qx,qy,qz], element gradients(s) [..,..,..]] eci = [[ix1,ix1,iz1], location vector [...,...,...], nint: number of integration points [ix(nint),iy(nint),iz(nint)]] """ ir = ep[0] ngp = ir*ir*ir if ir == 2: g1 = 0.577350269189626 w1 = 1 gp = np.mat([ [-1,-1,-1], [ 1,-1,-1], [ 1, 1,-1], [-1, 1,-1], [-1,-1, 1], [ 1,-1, 1], [ 1, 1, 1], [-1, 1, 1] ])*g1 w = np.mat(np.ones((8,3)))*w1 elif ir == 3: g1 = 0.774596669241483 g2 = 0. w1 = 0.555555555555555 w2 = 0.888888888888888 gp = np.mat(np.zeros((27,3))) w = np.mat(np.zeros((27,3))) I1 = np.array([-1,0,1,-1,0,1,-1,0,1]) I2 = np.array([0,-1,0,0,1,0,0,1,0]) gp[:,0] = np.mat([I1,I1,I1]).reshape(27,1)*g1 gp[:,0] = np.mat([I2,I2,I2]).reshape(27,1)*g2+gp[:,0] I1 = abs(I1) I2 = abs(I2) w[:,0] = np.mat([I1,I1,I1]).reshape(27,1)*w1 w[:,0] = np.mat([I2,I2,I2]).reshape(27,1)*w2+w[:,0] I1 = np.array([-1,-1,-1,0,0,0,1,1,1]) I2 = np.array([0,0,0,1,1,1,0,0,0]) gp[:,1] = np.mat([I1,I1,I1]).reshape(27,1)*g1 gp[:,1] = np.mat([I2,I2,I2]).reshape(27,1)*g2+gp[:,1] I1 = abs(I1) I2 = abs(I2) w[:,1] = np.mat([I1,I1,I1]).reshape(27,1)*w1 w[:,1] = np.mat([I2,I2,I2]).reshape(27,1)*w2+w[:,1] I1 = np.array([-1,-1,-1,-1,-1,-1,-1,-1,-1]) I2 = np.array([0,0,0,0,0,0,0,0,0]) I3 = abs(I1) gp[:,2] = np.mat([I1,I2,I3]).reshape(27,1)*g1 gp[:,2] = np.mat([I2,I3,I2]).reshape(27,1)*g2+gp[:,2] w[:,2] = np.mat([I3,I2,I3]).reshape(27,1)*w1 w[:,2] = np.mat([I2,I3,I2]).reshape(27,1)*w2+w[:,2] else: cfinfo("Used number of integration points not implemented") return wp = np.multiply(np.multiply(w[:,0],w[:,1]),w[:,2]) xsi = gp[:,0] eta = gp[:,1] zet = gp[:,2] r2 = ngp*3 N = np.multiply(np.multiply((1-xsi),(1-eta)),(1-zet))/8. N = np.append(N,np.multiply(np.multiply((1+xsi),(1-eta)),(1-zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1+xsi),(1+eta)),(1-zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1-xsi),(1+eta)),(1-zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1-xsi),(1-eta)),(1+zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1+xsi),(1-eta)),(1+zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1+xsi),(1+eta)),(1+zet))/8.,axis=1) N = np.append(N,np.multiply(np.multiply((1-xsi),(1+eta)),(1+zet))/8.,axis=1) dNr = np.mat(np.zeros((r2,8))) dNr[0:r2:3,0]= np.multiply(-(1-eta),(1-zet)) dNr[0:r2:3,1]= np.multiply((1-eta),(1-zet)) dNr[0:r2:3,2]= np.multiply((1+eta),(1-zet)) dNr[0:r2:3,3]= np.multiply(-(1+eta),(1-zet)) dNr[0:r2:3,4]= np.multiply(-(1-eta),(1+zet)) dNr[0:r2:3,5]= np.multiply((1-eta),(1+zet)) dNr[0:r2:3,6]= np.multiply((1+eta),(1+zet)) dNr[0:r2:3,7]= np.multiply(-(1+eta),(1+zet)) dNr[1:r2+1:3,0] = np.multiply(-(1-xsi),(1-zet)) dNr[1:r2+1:3,1] = np.multiply(-(1+xsi),(1-zet)) dNr[1:r2+1:3,2] = np.multiply((1+xsi),(1-zet)) dNr[1:r2+1:3,3] = np.multiply((1-xsi),(1-zet)) dNr[1:r2+1:3,4] = np.multiply(-(1-xsi),(1+zet)) dNr[1:r2+1:3,5] = np.multiply(-(1+xsi),(1+zet)) dNr[1:r2+1:3,6] = np.multiply((1+xsi),(1+zet)) dNr[1:r2+1:3,7] = np.multiply((1-xsi),(1+zet)) dNr[2:r2+2:3,0] = np.multiply(-(1-xsi),(1-eta)) dNr[2:r2+2:3,1] = np.multiply(-(1+xsi),(1-eta)) dNr[2:r2+2:3,2] = np.multiply(-(1+xsi),(1+eta)) dNr[2:r2+2:3,3] = np.multiply(-(1-xsi),(1+eta)) dNr[2:r2+2:3,4] = np.multiply((1-xsi),(1-eta)) dNr[2:r2+2:3,5] = np.multiply((1+xsi),(1-eta)) dNr[2:r2+2:3,6] = np.multiply((1+xsi),(1+eta)) dNr[2:r2+2:3,7] = np.multiply((1-xsi),(1+eta)) dNr = dNr/8. eci = N*np.mat([ex,ey,ez]).T if ed.ndim == 1: ed = np.array([ed]) red,ced = np.shape(ed) JT = dNr*np.mat([ex,ey,ez]).T es = np.mat(np.zeros((ngp*red,3))) et = np.mat(np.zeros((ngp*red,3))) for i in range(ngp): indx = np.array([3*(i+1)-2,3*(i+1)-1,3*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobideterminanten lika med noll!") JTinv = np.linalg.inv(JT[indx-1,:]) B = JTinv*dNr[indx-1,:] p1 = -D*B*ed.T p2 = B*ed.T es[i:ngp*red:ngp,:] = p1.T et[i:ngp*red:ngp,:] = p2.T return es,et,eci def plante(ex,ey,ep,D,eq=None): """ Calculate the stiffness matrix for a triangular plane stress or plane strain element. Parameters: ex = [x1,x2,x3] element coordinates ey = [y1,y2,y3] ep = [ptype,t] ptype: analysis type t: thickness D constitutive matrix eq = [[bx], bx: body force x-dir [by]] by: body force y-dir Returns: Ke element stiffness matrix (6 x 6) fe equivalent nodal forces (6 x 1) (if eq is given) """ ptype,t = ep bx = 0.0 by = 0.0 if not eq is None: bx = eq[0] by = eq[1] C = np.mat([ [1, ex[0], ey[0], 0, 0, 0], [0, 0, 0, 1, ex[0], ey[0]], [1, ex[1], ey[1], 0, 0, 0], [0, 0, 0, 1, ex[1], ey[1]], [1, ex[2], ey[2], 0, 0, 0], [0, 0, 0, 1, ex[2], ey[2]] ]) A = 0.5*np.linalg.det(np.mat([ [1, ex[0], ey[0]], [1, ex[1], ey[1]], [1, ex[2], ey[2]] ])) # --------- plane stress -------------------------------------- if ptype == 1: B = np.mat([ [0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1], [0, 0, 1, 0, 1, 0] ])*np.linalg.inv(C) colD = D.shape[1] if colD > 3: Cm = np.linalg.inv(D) Dm = np.linalg.inv(Cm[np.ix_((0,1,3),(0,1,3))]) else: Dm = D Ke = B.T*Dm*B*A*t fe = A/3*np.mat([bx,by,bx,by,bx,by]).T*t if eq is None: return Ke else: return Ke,fe.T #--------- plane strain -------------------------------------- elif ptype == 2: B = np.mat([ [0, 1, 0, 0, 0, 0,], [0, 0, 0, 0, 0, 1,], [0, 0, 1, 0, 1, 0,] ])*np.linalg.inv(C) colD = D.shape[1] if colD > 3: Dm = D[np.ix_((0,1,3),(0,1,3))] else: Dm = D Ke = B.T*Dm*B*A*t fe = A/3*np.mat([bx,by,bx,by,bx,by]).T*t if eq == None: return Ke else: return Ke,fe.T else: cfinfo("Error ! Check first argument, ptype=1 or 2 allowed") if eq == None: return None else: return None,None def plants(ex,ey,ep,D,ed): """ Calculate element normal and shear stress for a triangular plane stress or plane strain element. INPUT: ex = [x1 x2 x3] element coordinates ey = [y1 y2 y3] ep = [ptype t ] ptype: analysis type t: thickness D constitutive matrix ed =[u1 u2 ...u6 element displacement vector ...... ] one row for each element OUTPUT: es = [ sigx sigy [sigz] tauxy element stress matrix ...... ] one row for each element et = [ epsx epsy [epsz] gamxy element strain matrix ...... ] one row for each element """ ptype=ep[0] if np.ndim(ex) == 1: ex = np.array([ex]) if np.ndim(ey) == 1: ey = np.array([ey]) if np.ndim(ed) == 1: ed = np.array([ed]) rowed=ed.shape[0] rowex=ex.shape[0] # --------- plane stress -------------------------------------- if ptype==1: colD = D.shape[1] if colD>3: Cm = np.linalg.inv(D) Dm = np.linalg.inv(Cm[np.ix_((0,1,3),(0,1,3))]) else: Dm = D incie=0 if rowex==1: incie=0 else: incie=1 et=np.zeros([rowed,colD]) es=np.zeros([rowed,colD]) ie=0 for i in range(rowed): C = np.matrix( [[1, ex[ie,0], ey[ie,0], 0, 0, 0 ], [0, 0, 0, 1, ex[ie,0], ey[ie,0] ], [1, ex[ie,1], ey[ie,1], 0, 0, 0 ], [0, 0, 0, 1, ex[ie,1], ey[ie,1] ], [1, ex[ie,2], ey[ie,2], 0, 0, 0 ], [0, 0, 0, 1, ex[ie,2], ey[ie,2] ]] ) B = np.matrix([ [0,1,0,0,0,0], [0,0,0,0,0,1], [0,0,1,0,1,0]])*np.linalg.inv(C) ee=B*np.asmatrix(ed[ie,:]).T if colD>3: ss=np.zeros([colD,1]) ss[[0,1,3]]=Dm*ee ee=Cm*ss else: ss=Dm*ee et[ie,:] = ee.T es[ie,:] = ss.T ie = ie + incie return es, et def plantf(ex,ey,ep,es): """ Compute internal element force vector in a triangular element in plane stress or plane strain. Parameters: ex = [x1,x2,x3] node coordinates ey = [y1,y2,y3] ep = [ptype,t] ptype: analysis type t: thickness es = [[sigx,sigy,[sigz],tauxy] element stress matrix [ ...... ]] one row for each element OUTPUT: fe = [[f1],[f2],...,[f8]] internal force vector """ ptype,t = ep colD = es.shape[1] #--------- plane stress -------------------------------------- if ptype == 1: C = np.mat([ [ 1, ex[0], ey[0], 0, 0, 0 ], [ 0, 0, 0, 1, ex[0], ey[0]], [ 1, ex[1], ey[1], 0, 0, 0 ], [ 0, 0, 0, 1, ex[1], ey[1]], [ 1, ex[2], ey[2], 0, 0, 0 ], [ 0, 0, 0, 1, ex[2], ey[2]] ]) A = 0.5*np.linalg.det(np.mat([ [ 1, ex[0], ey[0]], [ 1, ex[1], ey[1]], [ 1, ex[2], ey[2]] ])) B = np.mat([ [ 0, 1, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 1], [ 0, 0, 1, 0, 1, 0] ])*np.linalg.inv(C) if colD > 3: stress = np.asmatrix(es[np.ix_((0,1,3))]) else: stress = np.asmatrix(es) ef = (A*t*B.T*stress.T).T return np.reshape(np.asarray(ef),6) #--------- plane strain -------------------------------------- elif ptype == 2: C = np.mat([ [ 1, ex[0], ey[0], 0, 0, 0 ], [ 0, 0, 0, 1, ex[0], ey[0]], [ 1, ex[1], ey[1], 0, 0, 0 ], [ 0, 0, 0, 1, ex[1], ey[1]], [ 1, ex[2], ey[2], 0, 0, 0 ], [ 0, 0, 0, 1, ex[2], ey[2]] ]) A = 0.5*np.linalg.det(np.mat([ [ 1, ex[0], ey[0]], [ 1, ex[1], ey[1]], [ 1, ex[2], ey[2]] ])) B = np.mat([ [ 0, 1, 0, 0, 0, 0], [ 0, 0, 0, 0, 0, 1], [ 0, 0, 1, 0, 1, 0] ])*np.linalg.inv(C) if colD > 3: stress = np.asmatrix(es[np.ix_((1,2,4))]) else: stress = np.asmatrix(es) ef = (A*t*B.T*stress.T).T return np.reshape(np.asarray(ef),6) else: cfinfo("Error ! Check first argument, ptype=1 or 2 allowed") return None def platre(ex,ey,ep,D,eq=None): """ Calculate the stiffness matrix for a rectangular plate element. NOTE! Element sides must be parallel to the coordinate axis. Parameters: ex = [x1,x2,x3,x4] element coordinates ey = [y1,y2,y3,y4] ep = [t] thicknes D constitutive matrix for plane stress eq = [qz] load/unit area Returns: Ke element stiffness matrix (12 x 12) fe equivalent nodal forces (12 x 1) """ Lx = (ex[2]-ex[0]).astype(float) Ly = (ey[2]-ey[0]).astype(float) t = ep[0] D = t**3/12.*D A1 = Ly/(Lx**3) A2 = Lx/(Ly**3) A3 = 1/Lx/Ly A4 = Ly/(Lx**2) A5 = Lx/(Ly**2) A6 = 1/Lx A7 = 1/Ly A8 = Ly/Lx A9 = Lx/Ly C1 = 4*A1*D[0,0]+4*A2*D[1,1]+2*A3*D[0,1]+5.6*A3*D[2,2] C2 = -4*A1*D[0,0]+2*A2*D[1,1]-2*A3*D[0,1]-5.6*A3*D[2,2] C3 = 2*A1*D[0,0]-4*A2*D[1,1]-2*A3*D[0,1]-5.6*A3*D[2,2] C4 = -2*A1*D[0,0]-2*A2*D[1,1]+2*A3*D[0,1]+5.6*A3*D[2,2] C5 = 2*A5*D[1,1]+A6*D[0,1]+0.4*A6*D[2,2] C6 = 2*A4*D[0,0]+A7*D[0,1]+0.4*A7*D[2,2] C7 = 2*A5*D[1,1]+0.4*A6*D[2,2] C8 = 2*A4*D[0,0]+0.4*A7*D[2,2] C9 = A5*D[1,1]-A6*D[0,1]-0.4*A6*D[2,2] C10 = A4*D[0,0]-A7*D[0,1]-0.4*A7*D[2,2] C11 = A5*D[1,1]-0.4*A6*D[2,2] C12 = A4*D[0,0]-0.4*A7*D[2,2] C13 = 4/3.*A9*D[1,1]+8/15.*A8*D[2,2] C14 = 4/3.*A8*D[0,0]+8/15.*A9*D[2,2] C15 = 2/3.*A9*D[1,1]-8/15.*A8*D[2,2] C16 = 2/3.*A8*D[0,0]-8/15.*A9*D[2,2] C17 = 2/3.*A9*D[1,1]-2/15.*A8*D[2,2] C18 = 2/3.*A8*D[0,0]-2/15.*A9*D[2,2] C19 = 1/3.*A9*D[1,1]+2/15.*A8*D[2,2] C20 = 1/3.*A8*D[0,0]+2/15.*A9*D[2,2] C21 = D[0,1] Keq = np.mat(np.zeros((12,12))) Keq[0,0:13] = C1,C5,-C6,C2,C9,-C8,C4,C11,-C12,C3,C7,-C10 Keq[1,1:13] = C13,-C21,C9,C15,0,-C11,C19,0,-C7,C17,0 Keq[2,2:13] = C14,C8,0,C18,C12,0,C20,-C10,0,C16 Keq[3,3:13] = C1,C5,C6,C3,C7,C10,C4,C11,C12 Keq[4,4:13] = C13,C21,-C7,C17,0,-C11,C19,0 Keq[5,5:13] = C14,C10,0,C16,-C12,0,C20 Keq[6,6:13] = C1,-C5,C6,C2,-C9,C8 Keq[7,7:13] = C13,-C21,-C9,C15,0 Keq[8,8:13] = C14,-C8,0,C18 Keq[9,9:13] = C1,-C5,-C6 Keq[10,10:13] = C13,C21 Keq[11,11] = C14 Keq = Keq.T+Keq-np.diag(np.diag(Keq)) if eq != None: q = eq R1 = q*Lx*Ly/4 R2 = q*Lx*Ly**2/24 R3 = q*Ly*Lx**2/24 feq = np.mat([R1,R2,-R3,R1,R2,R3,R1,-R2,R3,R1,-R2,-R3]) if eq != None: return Keq,feq else: return Keq def planqe(ex,ey,ep,D,eq=None): """ Calculate the stiffness matrix for a quadrilateral plane stress or plane strain element. Parameters: ex=[x1 x2 x3 x4] element coordinates ey=[y1 y2 y3 y4] ep = [ptype, t] ptype: analysis type t: element thickness D constitutive matrix eq = [bx; bx: body force in x direction by] by: body force in y direction OUTPUT: Ke : element stiffness matrix (8 x 8) fe : equivalent nodal forces (row array) """ K=np.zeros((10,10)) f=np.zeros((10,1)) xm=sum(ex)/4. ym=sum(ey)/4. b1 = eq if eq is not None else np.array([[0],[0]]) ke1, fe1 = plante(np.array([ex[0], ex[1], xm]), np.array([ey[0], ey[1], ym]), ep, D, b1) K, f = assem(np.array([1, 2, 3, 4, 9, 10]), K, ke1, f, fe1) ke1, fe1 = plante(np.array([ex[1], ex[2], xm]), np.array([ey[1], ey[2], ym]), ep, D, b1) K, f = assem(np.array([3, 4, 5, 6, 9, 10]), K, ke1, f, fe1) ke1, fe1 = plante(np.array([ex[2], ex[3], xm]), np.array([ey[2], ey[3], ym]), ep, D, b1) K, f = assem(np.array([5, 6, 7, 8, 9, 10]), K, ke1, f, fe1) ke1, fe1 = plante(np.array([ex[3], ex[0], xm]), np.array([ey[3], ey[0], ym]), ep, D, b1) K, f = assem(np.array([7, 8, 1, 2, 9, 10]), K, ke1, f, fe1) Ke, fe = statcon(K, f, np.array([[9],[10]])) if eq == None: return Ke else: return Ke,fe def planqs(ex,ey,ep,D,ed,eq=None): """ Calculate element normal and shear stress for a quadrilateral plane stress or plane strain element. Parameters: ex = [x1 x2 x3 x4] element coordinates ey = [y1 y2 y3 y4] ep = [ptype, t] ptype: analysis type t: thickness D constitutive matrix ed = [u1 u2 ..u8] element displacement vector eq = [[bx] bx: body force in x direction [by]] by: body force in y direction OUTPUT: es = [ sigx sigy (sigz) tauxy] element stress array et = [ epsx epsy (epsz) gamxy] element strain array """ if ex.shape != (4,) or ey.shape != (4,) or ed.shape != (8,): raise ValueError('Error ! PLANQS: only one element at the time (ex, ey, ed must be a row arrays)') K = np.zeros((10,10)) f = np.zeros((10,1)) xm = sum(ex)/4. ym = sum(ey)/4. b1 = eq if eq is not None else np.array([[0],[0]]) ex1 = np.array([ex[0], ex[1], xm]) ey1 = np.array([ey[0], ey[1], ym]) ex2 = np.array([ex[1], ex[2], xm]) ey2 = np.array([ey[1], ey[2], ym]) ex3 = np.array([ex[2], ex[3], xm]) ey3 = np.array([ey[2], ey[3], ym]) ex4 = np.array([ex[3], ex[0], xm]) ey4 = np.array([ey[3], ey[0], ym]) ke1, fe1 = plante(ex1, ey1, ep, D, b1) K, f = assem(np.array([1, 2, 3, 4, 9, 10]), K, ke1, f, fe1) ke1,fe1 = plante(ex2, ey2, ep, D, b1) K, f = assem(np.array([3, 4, 5, 6, 9, 10]), K, ke1, f, fe1) ke1, fe1 = plante(ex3, ey3, ep, D, b1) K, f = assem(np.array([5, 6, 7, 8, 9, 10]), K, ke1, f, fe1) ke1, fe1 = plante(ex4, ey4, ep, D, b1) K, f = assem(np.array([7, 8, 1, 2, 9, 10]), K, ke1, f, fe1) A1 = 0.5 * np.linalg.det( np.hstack([np.ones((3,1)), np.mat(ex1).T, np.mat(ey1).T]) ) A2 = 0.5 * np.linalg.det( np.hstack([np.ones((3,1)), np.mat(ex2).T, np.mat(ey2).T]) ) A3 = 0.5 * np.linalg.det( np.hstack([np.ones((3,1)), np.mat(ex3).T, np.mat(ey3).T]) ) A4 = 0.5 * np.linalg.det( np.hstack([np.ones((3,1)), np.mat(ex4).T, np.mat(ey4).T]) ) Atot = A1+A2+A3+A4; a, _ = solveq(K, f, np.array(range(1,9)), ed) # ni = ed.shape[0] # a = np.mat(empty((10,ni))) # for i in range(ni): # a[:,i] = solveq(K, f, np.array(range(1,9)), ed[i,:])[0] # #a = np.hstack([a, solveq(K, f, np.hstack([matrix(range(1,9)).T, ed[i,:].T]) ) ]) s1, t1 = plants(ex1, ey1, ep, D, np.hstack([a[[0, 1, 2, 3, 8, 9], :].T]) ); s2, t2 = plants(ex2, ey2, ep, D, np.hstack([a[[2, 3, 4, 5, 8, 9], :].T]) ); s3, t3 = plants(ex3, ey3, ep, D, np.hstack([a[[4, 5, 6, 7, 8, 9], :].T]) ); s4, t4 = plants(ex4, ey4, ep, D, np.hstack([a[[6, 7, 0, 1, 8, 9], :].T]) ); es = (s1*A1+s2*A2+s3*A3+s4*A4)/Atot; et = (t1*A1+t2*A2+t3*A3+t4*A4)/Atot; return es[0], et[0] #[0] because these are 1-by-3 arrays and we want row arrays out. def plani4e(ex,ey,ep,D,eq=None): """ Calculate the stiffness matrix for a 4 node isoparametric element in plane strain or plane stress. Parameters: ex = [x1 ... x4] element coordinates. Row array ey = [y1 ... y4] ep =[ptype, t, ir] ptype: analysis type t : thickness ir: integration rule D constitutive matrix eq = [bx; by] bx: body force in x direction by: body force in y direction Any array with 2 elements acceptable Returns: Ke : element stiffness matrix (8 x 8) fe : equivalent nodal forces (8 x 1) """ ptype=ep[0] t=ep[1] ir=ep[2] ngp=ir*ir if eq is None: q = np.zeros((2,1)) else: q = np.reshape(eq, (2,1)) #--------- gauss points -------------------------------------- if ir == 1: g1 = 0.0 w1 = 2.0 gp = np.mat([g1,g1]) w = np.mat([w1,w1]) elif ir == 2: g1 = 0.577350269189626 w1 = 1 gp = np.mat([ [-g1,-g1], [ g1,-g1], [-g1, g1], [ g1, g1]]) w = np.mat([ [ w1, w1], [ w1, w1], [ w1, w1], [ w1, w1]]) elif ir == 3: g1 = 0.774596669241483 g2 = 0. w1 = 0.555555555555555 w2 = 0.888888888888888 gp = np.mat([ [-g1,-g1], [-g2,-g1], [ g1,-g1], [-g1, g2], [ g2, g2], [ g1, g2], [-g1, g1], [ g2, g1], [ g1, g1]]) w = np.mat([ [ w1, w1], [ w2, w1], [ w1, w1], [ w1, w2], [ w2, w2], [ w1, w2], [ w1, w1], [ w2, w1], [ w1, w1]]) else: cfinfo("Used number of integration points not implemented") wp = np.multiply(w[:,0],w[:,1]) xsi = gp[:,0] eta = gp[:,1] r2 = ngp*2 # Shape Functions N = np.multiply((1-xsi),(1-eta))/4. N = np.append(N,np.multiply((1+xsi),(1-eta))/4.,axis=1) N = np.append(N,np.multiply((1+xsi),(1+eta))/4.,axis=1) N = np.append(N,np.multiply((1-xsi),(1+eta))/4.,axis=1) dNr = np.mat(np.zeros((r2,4))) dNr[0:r2:2,0] = -(1-eta)/4. dNr[0:r2:2,1] = (1-eta)/4. dNr[0:r2:2,2] = (1+eta)/4. dNr[0:r2:2,3] = -(1+eta)/4. dNr[1:r2+1:2,0] = -(1-xsi)/4. dNr[1:r2+1:2,1] = -(1+xsi)/4. dNr[1:r2+1:2,2] = (1+xsi)/4. dNr[1:r2+1:2,3] = (1-xsi)/4. # Ke1 = np.mat(np.zeros((8,8))) fe1 = np.mat(np.zeros((8,1))) JT = dNr*np.mat([ex,ey]).T # --------- plane stress -------------------------------------- if ptype==1: colD=np.shape(D)[0] if colD>3: Cm=np.linalg.inv(D) Dm=np.linalg.inv(Cm[ np.ix_([0,1,3],[0,1,3]) ]) else: Dm=D # B=np.matrix(np.zeros((3,8))) N2=np.matrix(np.zeros((2,8))) for i in range(ngp): indx = np.array([2*(i+1)-1,2*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobi determinant equal or less than zero!") JTinv = np.linalg.inv(JT[indx-1,:]) dNx=JTinv*dNr[indx-1,:] # index_array_even=np.array([0,2,4,6]) index_array_odd=np.array([1,3,5,7]) # counter=0 for index in index_array_even: B[0,index] = dNx[0,counter] B[2,index] = dNx[1,counter] N2[0,index]=N[i,counter] counter=counter+1 # counter=0 for index in index_array_odd: B[1,index] = dNx[1,counter] B[2,index] = dNx[0,counter] N2[1,index] =N[i,counter] counter=counter+1 # Ke1 = Ke1+B.T*Dm*B*detJ*np.asscalar(wp[i])*t fe1 = fe1 + N2.T * q * detJ * np.asscalar(wp[i]) * t return Ke1,fe1 #--------- plane strain -------------------------------------- elif ptype==2: # colD=np.shape(D)[0] if colD>3: Dm = D[np.ix_([0,1,3],[0,1,3])] else: Dm = D # B=np.matrix(np.zeros((3,8))) N2=np.matrix(np.zeros((2,8))) for i in range(ngp): indx = np.array([2*(i+1)-1,2*(i+1)]) detJ = np.linalg.det(JT[indx-1,:]) if detJ < 10*np.finfo(float).eps: cfinfo("Jacobideterminant equal or less than zero!") JTinv = np.linalg.inv(JT[indx-1,:]) dNx=JTinv*dNr[indx-1,:] # index_array_even=np.array([0,2,4,6]) index_array_odd=np.array([1,3,5,7]) # counter=0 for index in index_array_even: # B[0,index] = dNx[0,counter] B[2,index] = dNx[1,counter] N2[0,index]=N[i,counter] # counter=counter+1 # counter=0 for index in index_array_odd: B[1,index] = dNx[1,counter] B[2,index] = dNx[0,counter] N2[1,index] =N[i,counter] counter=counter+1 # Ke1 = Ke1 + B.T * Dm * B * detJ * np.asscalar(wp[i]) * t fe1 = fe1+N2.T*q*detJ*np.asscalar(wp[i])*t return Ke1,fe1 else: cfinfo("Error ! Check first argument, ptype=1 or 2 allowed") def assem(edof,K,Ke,f=None,fe=None): """ Assemble element matrices Ke ( and fe ) into the global stiffness matrix K ( and the global force vector f ) according to the topology matrix edof. Parameters: edof dof topology array K the global stiffness matrix Ke element stiffness matrix f the global force vector fe element force vector Output parameters: K the new global stiffness matrix f the new global force vector fe element force vector """ if edof.ndim == 1: idx = edof-1 K[np.ix_(idx,idx)] = K[np.ix_(idx,idx)] + Ke if (not f is None) and (not fe is None): f[np.ix_(idx)] = f[np.ix_(idx)] + fe else: for row in edof: idx = row-1 K[np.ix_(idx,idx)] = K[np.ix_(idx,idx)] + Ke if (not f is None) and (not fe is None): f[np.ix_(idx)] = f[np.ix_(idx)] + fe if f is None: return K else: return K,f def solveq(K,f,bcPrescr,bcVal=None): """ Solve static FE-equations considering boundary conditions. Parameters: K global stiffness matrix, dim(K)= nd x nd f global load vector, dim(f)= nd x 1 bcPrescr 1-dim integer array containing prescribed dofs. bcVal 1-dim float array containing prescribed values. If not given all prescribed dofs are assumed 0. Returns: a solution including boundary values Q reaction force vector dim(a)=dim(Q)= nd x 1, nd : number of dof's """ nDofs = K.shape[0] nPdofs = bcPrescr.shape[0] if bcVal is None: bcVal = np.zeros([nPdofs],'d') bc = np.ones(nDofs, 'bool') bcDofs = np.arange(nDofs) bc[np.ix_(bcPrescr-1)] = False bcDofs = bcDofs[bc] fsys = f[bcDofs]-K[np.ix_((bcDofs),(bcPrescr-1))]*np.asmatrix(bcVal).reshape(nPdofs,1) asys = np.linalg.solve(K[np.ix_((bcDofs),(bcDofs))], fsys); a = np.zeros([nDofs,1]) a[np.ix_(bcPrescr-1)] = np.asmatrix(bcVal).reshape(nPdofs,1) a[np.ix_(bcDofs)] = asys Q=K*np.asmatrix(a)-f return (np.asmatrix(a),Q) def spsolveq(K,f,bcPrescr,bcVal=None): """ Solve static FE-equations considering boundary conditions. Parameters: K global stiffness matrix, dim(K)= nd x nd f global load vector, dim(f)= nd x 1 bcPrescr 1-dim integer array containing prescribed dofs. bcVal 1-dim float array containing prescribed values. If not given all prescribed dofs are assumed 0. Returns: a solution including boundary values Q reaction force vector dim(a)=dim(Q)= nd x 1, nd : number of dof's """ nDofs = K.shape[0] nPdofs = bcPrescr.shape[0] if bcVal is None: bcVal = np.zeros([nPdofs],'d') bc = np.ones(nDofs, 'bool') bcDofs = np.arange(nDofs) bc[np.ix_(bcPrescr-1)] = False bcDofs = bcDofs[bc] bcVal_m = np.asmatrix(bcVal).reshape(nPdofs,1) info("Preparing system matrix...") mask = np.ones(K.shape[0], dtype=bool) mask[bcDofs] = False info("step 1... converting K->CSR") Kcsr = K.asformat("csr") info("step 2... Kt") #Kt1 = K[bcDofs] #Kt = Kt1[:,bcPrescr] Kt = K[np.ix_((bcDofs),(bcPrescr-1))] info("step 3... fsys") fsys = f[bcDofs]-Kt*bcVal_m info("step 4... Ksys") Ksys1 = Kcsr[bcDofs] Ksys = Ksys1[:,bcDofs] #Ksys = Kcsr[np.ix_((bcDofs),(bcDofs))] info ("done...") info("Solving system...") asys = dsolve.spsolve(Ksys, fsys); info("Reconstructing full a...") a = np.zeros([nDofs,1]) a[np.ix_(bcPrescr-1)] = bcVal_m a[np.ix_(bcDofs)] = np.asmatrix(asys).transpose() a_m = np.asmatrix(a) Q=K*a_m-f info("done...") return (a_m,Q) def extractEldisp(edof,a): """ Extract element displacements from the global displacement vector according to the topology matrix edof. Parameters: a the global displacement vector edof dof topology array Returns: ed: element displacement array """ ed = None if edof.ndim==1: nDofs = len(edof) ed = np.zeros([nDofs]) idx = edof-1 ed[:] = a[np.ix_(idx)].T else: nElements = edof.shape[0] nDofs = edof.shape[1] ed = np.zeros([nElements,nDofs]) i=0 for row in edof: idx = row-1 ed[i,:]=a[np.ix_(idx)].T i+=1 return ed def statcon(K,f,cd): """ Condensation of static FE-equations according to the vector cd. Parameters: K global stiffness matrix, dim(K) = nd x nd f global load vector, dim(f)= nd x 1 cd vector containing dof's to be eliminated dim(cd)= nc x 1, nc: number of condensed dof's Returns: K1 condensed stiffness matrix, dim(K1)= (nd-nc) x (nd-nc) f1 condensed load vector, dim(f1)= (nd-nc) x 1 """ nd,nd = np.shape(K) cd = (cd-1).flatten() aindx = np.arange(nd) aindx = np.delete(aindx,cd,0) bindx = cd Kaa = np.mat(K[np.ix_(aindx,aindx)]) Kab = np.mat(K[np.ix_(aindx,bindx)]) Kbb = np.mat(K[np.ix_(bindx,bindx)]) fa = np.mat(f[aindx]) fb = np.mat(f[bindx]) K1 = Kaa-Kab*Kbb.I*Kab.T f1 = fa-Kab*Kbb.I*fb return K1,f1 def c_mul(a, b): return eval(hex((np.long(a) * b) & 0xFFFFFFFF)[:-1]) def dofHash(dof): if len(dof)==1: return dof[0] value = 0x345678 for item in dof: value = c_mul(1000003, value) ^ hash(item) value = value ^ len(dof) if value == -1: value = -2 return value def createdofs(nCoords,nDof): """ Create dof array [nCoords x nDof] """ return np.arange(nCoords*nDof).reshape(nCoords,nDof)+1 def coordxtr(edof,coords,dofs): """ Create element coordinate matrices ex, ey, ez from edof coord and dofs matrices. Parameters: edof [nel x (nen * nnd)], nnd = number of node dofs coords [ncoords x ndims], ndims = node dimensions dofs [ncoords x nnd] Returns: ex if ndims = 1 ex, ey if ndims = 2 ex, ey, ez if ndims = 3 """ # Create dictionary with dof indices dofDict = {} nDofs = np.size(dofs,1) nElements = np.size(edof,0) nDimensions = np.size(coords,1) nElementDofs = np.size(edof,1) nElementNodes = int(nElementDofs/nDofs) idx = 0 for dof in dofs: dofDict[dofHash(dof)] = idx idx += 1 # Loop over edof and extract element coords ex = np.zeros((nElements,nElementNodes)) ey = np.zeros((nElements,nElementNodes)) ez = np.zeros((nElements,nElementNodes)) elementIdx = 0 for etopo in edof: for i in range(nElementNodes): i0 = i*nDofs i1 = i*nDofs+nDofs-1 dof = [] if i0==i1: dof = [etopo[i*nDofs]] else: dof = etopo[i*nDofs:(i*nDofs+nDofs)] nodeCoord = coords[dofDict[dofHash(dof)]] if nDimensions>=1: ex[elementIdx,i] = nodeCoord[0] if nDimensions>=2: ey[elementIdx,i] = nodeCoord[1] if nDimensions>=3: ez[elementIdx,i] = nodeCoord[2] elementIdx += 1 if nDimensions==1: return ex if nDimensions==2: return ex, ey if nDimensions==3: return ex, ey, ez def hooke(ptype,E,v): """ Calculate the material matrix for a linear elastic and isotropic material. Parameters: ptype= 1: plane stress 2: plane strain 3: axisymmetry 4: three dimensional E Young's modulus v Poissons const. Returns: D material matrix """ if ptype == 1: D = E*np.matrix( [[1, v, 0], [v, 1, 0], [0, 0, (1-v)/2]] )/(1-v**2); elif ptype == 2: D = E/(1+v)*np.matrix( [[1-v, v, v, 0], [v, 1-v, v, 0], [v, v, 1-v, 0], [0, 0, 0, (1-2*v)/2]] )/(1-2*v) elif ptype == 3: D = E/(1+v)*np.matrix( [[1-v, v, v, 0], [v, 1-v, v, 0], [v, v, 1-v, 0], [0, 0, 0, (1-2*v)/2]] )/(1-2*v) elif ptype == 4: D = E*np.matrix( [[1-v, v, v, 0, 0, 0], [v, 1-v, v, 0, 0, 0], [v, v, 1-v, 0, 0, 0], [0, 0, 0, (1-2*v)/2, 0, 0], [0, 0, 0, 0, (1-2*v)/2, 0], [0, 0, 0, 0, 0, (1-2*v)/2]] )/(1+v)/(1-2*v) else: cfinfo("ptype not supported.") return D def effmises(es,ptype): """ Calculate effective von mises stresses. Parameters: es ptype= 1: plane stress 2: plane strain 3: axisymmetry 4: three dimensional es = [[sigx,sigy,[sigz],tauxy] element stress matrix [ ...... ]] one row for each element Returns: eseff = [eseff_0 .. eseff_nel-1] """ nel = np.size(es,0) escomps = np.size(es, 1) eseff = np.zeros([nel]) if ptype == 1: sigxx = es[:,0] sigyy = es[:,1] sigxy = es[:,2] eseff = np.sqrt(sigxx*sigxx+sigyy*sigyy-sigxx*sigyy+3*sigxy*sigxy) return eseff def stress2nodal(eseff, edof): """ Convert element effective stresses to nodal effective stresses. Parameters: eseff = [eseff_0 .. eseff_nel-1] edof = [dof topology array] Returns: ev: element value array [[ev_0_0 ev_0_1 ev_0_nen-1 ] .. ev_nel-1_0 ev_nel-1_1 ev_nel-1_nen-1] """ values = np.zeros(edof.max()) elnodes = int(np.size(edof,1) / 2) for etopo, eleseff in zip(edof, eseff): values[etopo-1] = values[etopo-1] + eleseff / elnodes evtemp = extractEldisp(edof,values) ev = evtemp[:,range(0,elnodes*2,2)] return ev

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982832f42fe8df21a279f8ca2affe9a7ac5c88b3

158

py

Python

backend/equipment_control/admin.py

MeherajUlMahmmud/11th-Hour-Assistance

9084636b914d72f89ca972bd0edfdad54548a344

[ "MIT" ]

1

2021-09-15T19:08:09.000Z

backend/equipment_control/admin.py

MeherajUlMahmmud/CSE412-Project

9084636b914d72f89ca972bd0edfdad54548a344

[ "MIT" ]

null

backend/equipment_control/admin.py

MeherajUlMahmmud/CSE412-Project

9084636b914d72f89ca972bd0edfdad54548a344

[ "MIT" ]

null

from django.contrib import admin from equipment_control.models import * admin.site.register(EquipmentRequestModel) admin.site.register(EquipmentPostModel)

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982cd02a4dff54ede22d32d8da7b97a98283f03c

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py

Python

Game26/modules/__init__.py

ttkaixin1998/pikachupythongames

609a3a5a2be3f5a187c332c7980bb5bb14548f02

[ "MIT" ]

4,013

2018-06-16T08:00:02.000Z

2022-03-30T11:48:14.000Z

Game26/modules/__init__.py

pigbearcat/Games

b8c47ef1bcce9a9db3f3730c162e6e8e08b508a2

[ "MIT" ]

22

2018-10-18T00:15:50.000Z

2022-01-13T08:16:15.000Z

Game26/modules/__init__.py

pigbearcat/Games

b8c47ef1bcce9a9db3f3730c162e6e8e08b508a2

[ "MIT" ]

2,172

2018-07-20T04:03:14.000Z

2022-03-31T14:18:29.000Z

'''initialize''' from .sprites import * from .gamelevels import *

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985b71b16db350c747ee4df023f23f46c69725b1

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py

Python

revolt/plugins/commands/__init__.py

ppotatoo/revolt.py

56d09b050e26898c6051eaee3fdd268a5b16bc22

[ "MIT" ]

null

revolt/plugins/commands/__init__.py

ppotatoo/revolt.py

56d09b050e26898c6051eaee3fdd268a5b16bc22

[ "MIT" ]

null

revolt/plugins/commands/__init__.py

ppotatoo/revolt.py

56d09b050e26898c6051eaee3fdd268a5b16bc22

[ "MIT" ]

null

from .bot import Bot from .command import Command from .context import Context

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5

98657470bc0179a77327ae6c03e55176772d0d0a

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py

Python

k2/python/tests/numerical_gradient_check_test.py

BuildJet/k2

9b21fc4b97cd3e746b6526cd47359bb024d06b15

[ "Apache-2.0" ]

1

2021-03-03T03:30:40.000Z

k2/python/tests/numerical_gradient_check_test.py

BuildJet/k2

9b21fc4b97cd3e746b6526cd47359bb024d06b15

[ "Apache-2.0" ]

1

2021-03-27T15:52:06.000Z

k2/python/tests/numerical_gradient_check_test.py

BuildJet/k2

9b21fc4b97cd3e746b6526cd47359bb024d06b15

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # # Copyright (c) 2020 Xiaomi Corporation (authors: Fangjun Kuang) # # See ../../../LICENSE for clarification regarding multiple authors # To run this single test, use # # ctest --verbose -R numerical_gradient_check_test_py import unittest import k2 import torch class TestNumericalGradientCheck(unittest.TestCase): def test_get_tot_scores(self): def my_func(scores: torch.Tensor, switch: torch.Tensor) -> torch.Tensor: s = ''' 0 4 1 0 0 1 1 0 1 2 1 0 1 3 1 0 2 7 1 0 3 7 1 0 4 6 1 0 4 8 1 0 5 9 -1 0 6 9 -1 0 7 9 -1 0 8 9 -1 0 9 ''' fsa = k2.Fsa.from_str(s).to(scores.device) fsa_vec = k2.create_fsa_vec([fsa]) assert scores.requires_grad is True fsa_vec.scores = scores.to(torch.float32) log_semiring = switch[0].item() == 1 log_like = fsa_vec.get_tot_scores(log_semiring=log_semiring, use_double_scores=True) return -2 * log_like devices = [torch.device('cpu')] if torch.cuda.is_available(): devices.append(torch.device('cuda')) for device in devices: s = torch.randn(12) s.requires_grad_(True) s = s.to(torch.float64) torch.autograd.gradcheck(my_func, (s, torch.tensor([1])), eps=1e-2) torch.autograd.gradcheck(my_func, (s, torch.tensor([0])), eps=1e-2) def test_get_tot_scores_multiple_fsas(self): def my_func(scores: torch.Tensor, switch: torch.Tensor) -> torch.Tensor: s1 = ''' 0 4 1 0 0 1 1 0 1 2 1 0 1 3 1 0 2 7 1 0 3 7 1 0 4 6 1 0 4 8 1 0 5 9 -1 0 6 9 -1 0 7 9 -1 0 8 9 -1 0 9 ''' s2 = ''' 0 1 1 0 0 2 2 0 1 2 3 0 1 3 4 0 2 3 5 0 3 4 6 0 3 5 -1 0 4 5 -1 0 5 ''' s3 = ''' 0 1 1 0 0 2 2 0 1 3 -1 0 2 3 -1 0 3 ''' fsa1 = k2.Fsa.from_str(s1).to(scores.device) fsa2 = k2.Fsa.from_str(s2).to(scores.device) fsa3 = k2.Fsa.from_str(s3).to(scores.device) fsa_vec = k2.create_fsa_vec([fsa1, fsa2, fsa3]) assert scores.requires_grad is True fsa_vec.scores = scores.to(torch.float32) log_semiring = switch[0].item() == 1 log_like = fsa_vec.get_tot_scores(log_semiring=log_semiring, use_double_scores=True) return -1.25 * log_like devices = [torch.device('cpu')] if torch.cuda.is_available(): devices.append(torch.device('cuda')) for device in devices: s = torch.randn(24) s.requires_grad_(True) s = s.to(torch.float64) torch.autograd.gradcheck(my_func, (s, torch.tensor([1])), eps=1e-2) torch.autograd.gradcheck(my_func, (s, torch.tensor([0])), eps=1e-2) def test_index_add_contiguous(self): def my_func(index: torch.Tensor, value: torch.Tensor, src: torch.Tensor) -> torch.Tensor: saved = torch.zeros_like(src).to(torch.float32) k2.index_add(index, value, saved) return src + saved devices = [torch.device('cpu')] if torch.cuda.is_available(): devices.append(torch.device('cuda', 0)) for device in devices: num_elements = torch.randint(10, 100, (1,)).item() src = torch.rand(num_elements, dtype=torch.float32).to(device) src.requires_grad_(True) src = src.to(torch.float64) num_indexes = num_elements * torch.randint(2, 10, (1,)).item() index = torch.randint(-1, num_elements, (num_indexes,), dtype=torch.int32).to(device) value = torch.rand(num_indexes, dtype=torch.float32).to(device) torch.autograd.gradcheck(my_func, (index, value, src), eps=1e-3, atol=1e-3, rtol=1e-3) def test_index_add_non_contiguous(self): def my_func(index: torch.Tensor, value: torch.Tensor, src: torch.Tensor) -> torch.Tensor: saved = torch.zeros_like(src).to(torch.float32) k2.index_add(index, value, saved) return src + saved devices = [torch.device('cpu')] if torch.cuda.is_available(): devices.append(torch.device('cuda', 0)) for device in devices: num_elements = torch.randint(100, 10000, (1,)).item() src = torch.rand(num_elements, dtype=torch.float32).to(device) src.requires_grad_(True) src = src.to(torch.float64) src_stride = torch.randint(2, 8, (1,)).item() src = src[::src_stride] num_elements = src.numel() num_indexes = num_elements * torch.randint(2, 10, (1,)).item() index = torch.randint(0, num_elements, (num_indexes,), dtype=torch.int32).to(device) value_stride = torch.randint(2, 6, (1,)).item() value = torch.rand(num_indexes * value_stride, dtype=torch.float32).to(device) value = value[::value_stride] assert src.is_contiguous() is False assert index.is_contiguous() assert value.is_contiguous() is False torch.autograd.gradcheck(my_func, (index, value, src), eps=1e-2, atol=1e-2, rtol=1e-2) def test_index_select_1d(self): def my_func(src: torch.Tensor, index: torch.Tensor) -> torch.Tensor: return k2.index_select(src.to(torch.float32), index) devices = [torch.device('cpu')] if torch.cuda.is_available(): devices.append(torch.device('cuda', 0)) for device in devices: num_elements = torch.randint(10, 100, (1,)).item() src = torch.rand(num_elements, dtype=torch.float32).to(device) src.requires_grad_(True) src = src.to(torch.float64) num_indexes = num_elements * torch.randint(2, 10, (1,)).item() index = torch.randint(-1, num_elements, (num_indexes,), dtype=torch.int32).to(device) torch.autograd.gradcheck(my_func, (src, index), eps=1e-3, atol=1e-3, rtol=1e-3) def test_index_select_2d(self): def my_func(src: torch.Tensor, index: torch.Tensor) -> torch.Tensor: return k2.index_select(src.to(torch.float32), index) devices = [torch.device('cpu')] if torch.cuda.is_available(): devices.append(torch.device('cuda', 0)) for device in devices: num_rows = torch.randint(1, 20, size=(1,)).item() num_cols = torch.randint(1, 20, size=(1,)).item() a = torch.rand((num_rows, num_cols), dtype=torch.float64, device=device).contiguous() a.requires_grad_(True) b = torch.randint(-1, num_rows, size=(100,), device=device, dtype=torch.int32) assert a.is_contiguous() torch.autograd.gradcheck(my_func, (a, b), eps=1e-3, atol=1e-3, rtol=1e-3) if __name__ == '__main__': torch.manual_seed(20210109) unittest.main()

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989c84c6051f8eeaa492e687fff370f80b5f96b7

170

py

Python

gettingstarted/python/ex2/producer.py

crossbario/idma-examples

abfef1a5885365d4480bca6258f6f6bc6d57b1e4

[ "Apache-2.0" ]

null

gettingstarted/python/ex2/producer.py

crossbario/idma-examples

abfef1a5885365d4480bca6258f6f6bc6d57b1e4

[ "Apache-2.0" ]

2

2020-06-23T20:22:19.000Z

2020-09-23T17:33:45.000Z

gettingstarted/python/ex2/producer.py

isabella232/idma-examples

abfef1a5885365d4480bca6258f6f6bc6d57b1e4

[ "Apache-2.0" ]

2

2020-06-23T17:25:02.000Z

2021-05-15T18:44:17.000Z

# coding=utf8 # connect to WAMP router, join a realm (no authentication), publish (non-XBR, plain WAMP) events to topic # and register a procedure (non-XBR, plain WAMP)

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null

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5

7f28d9f844e66d4e08786d03eec84e5038e8725a

580

py

Python

validator/credit_card.py

gpmarchi/credit-card-validator

01d02e9fd50e76e88e3d13aa71a0350f6b69615c

[ "MIT" ]

null

validator/credit_card.py

gpmarchi/credit-card-validator

01d02e9fd50e76e88e3d13aa71a0350f6b69615c

[ "MIT" ]

null

validator/credit_card.py

gpmarchi/credit-card-validator

01d02e9fd50e76e88e3d13aa71a0350f6b69615c

[ "MIT" ]

null

import validator.common_functions as commons class CreditCard: def __init__(self, card_number=""): commons.is_valid_number_in_string(card_number) self.__card_number = card_number def get_major_industry_identifier(self): return self.__card_number[0] def get_issuer_identification_number(self): return self.__card_number[0:6] def get_account_number(self): return self.__card_number[6:-1] def get_checksum(self): return self.__card_number[-1] def get_card_number(self): return self.__card_number

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7f2d05cebf3a52b8c4cb8339d44baae6fef0c4bf

69

py

Python

gpflow/covariances/__init__.py

antonykamp/GPflow

1831a5d19a50ff525af0ce931c8b82f6306d8196

[ "Apache-2.0" ]

1,724

2016-01-21T18:10:26.000Z

2022-03-22T20:03:57.000Z

gpflow/covariances/__init__.py

antonykamp/GPflow

1831a5d19a50ff525af0ce931c8b82f6306d8196

[ "Apache-2.0" ]

1,713

2016-02-26T13:09:35.000Z

2022-03-31T14:39:30.000Z

gpflow/covariances/__init__.py

antonykamp/GPflow

1831a5d19a50ff525af0ce931c8b82f6306d8196

[ "Apache-2.0" ]

519

2016-02-17T19:04:45.000Z

2022-03-26T00:13:13.000Z

from . import kufs, kuus, multioutput from .dispatch import Kuf, Kuu

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0

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0

5

7f2ec43d3b9e55bf35fb2b453776f35ac4a4ac5e

64

py

Python

eksmigrator/__main__.py

ahrizvi/eks-node-migrator

2972c3011f81cda9c78dabb13ec6449ce70506ab

[ "Apache-2.0" ]

1

2021-11-23T22:34:23.000Z

eksmigrator/__main__.py

ahrizvi/eks-node-migrator

2972c3011f81cda9c78dabb13ec6449ce70506ab

[ "Apache-2.0" ]

null

eksmigrator/__main__.py

ahrizvi/eks-node-migrator

2972c3011f81cda9c78dabb13ec6449ce70506ab

[ "Apache-2.0" ]

null

import sys from eksmigrator.cli import main main(sys.argv[1:])

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7f8367a7b851ffa484783adb70286ffaf3ac28ce

184

py

Python

Workshops/25.11.2017 - Python. The Basics - Volume 1 -/Python Codes/4/1_variables.py

Act862/PyLam-Edu

c53114a56da8e5803495acc3c82da1b36ddd452b

[ "MIT" ]

null

Workshops/25.11.2017 - Python. The Basics - Volume 1 -/Python Codes/4/1_variables.py

Act862/PyLam-Edu

c53114a56da8e5803495acc3c82da1b36ddd452b

[ "MIT" ]

3

2018-11-30T08:30:49.000Z

2018-11-30T08:38:02.000Z

Workshops/25.11.2017 - Python. The Basics - Volume 1 -/Python Codes/4/1_variables.py

Act862/PyLam-Edu

c53114a56da8e5803495acc3c82da1b36ddd452b

[ "MIT" ]

2

2018-07-01T14:11:47.000Z

2018-11-04T01:06:55.000Z

x = 5 y = 3.15 name = "George" flag = True print("The value of x is: ", x) print("The value of y is: ", y) print("The value of name is: ", name) print("The value of flag is: ", flag)

18.4

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0.608696

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184

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0.285714

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184

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null

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1

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5

7fb0b611cdea9c6a4938f3ca255eb9a919021e8f

218

py

Python

todolist/todolist/urls.py

khan-asim/TodoList-App

86f3b0b0859f28100278ca1c305d6a61287f157f

[ "MIT" ]

null

todolist/todolist/urls.py

khan-asim/TodoList-App

86f3b0b0859f28100278ca1c305d6a61287f157f

[ "MIT" ]

null

todolist/todolist/urls.py

khan-asim/TodoList-App

86f3b0b0859f28100278ca1c305d6a61287f157f

[ "MIT" ]

null

from django.conf.urls import include, url from django.contrib import admin urlpatterns = [ # url(r'^$', include('todos.urls')), url(r'^todos/', include('todos.urls')), url(r'^admin/', admin.site.urls), ]

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0.642202

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218

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false

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1

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null

0

1

0

1

0

5

7fb29cb7ea108786257b8da60a2b8f5a79f7285c

160

py

Python

authors/apps/article_rating/admin.py

andela/ah-backend-dojo

f2b14f15c4af906da846cafe722f13868d58371f

[ "BSD-3-Clause" ]

3

2019-05-01T10:41:09.000Z

2021-04-25T22:17:20.000Z

authors/apps/article_rating/admin.py

andela/ah-backend-dojo

f2b14f15c4af906da846cafe722f13868d58371f

[ "BSD-3-Clause" ]

24

2019-04-23T14:56:21.000Z

2021-12-13T19:58:37.000Z

authors/apps/article_rating/admin.py

andela/ah-backend-dojo

f2b14f15c4af906da846cafe722f13868d58371f

[ "BSD-3-Clause" ]

4

2019-06-29T10:40:32.000Z

2022-01-04T11:44:53.000Z

from django.contrib import admin from authors.apps.article_rating.models import ArticleRating # Register your models here. admin.site.register(ArticleRating)

22.857143

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true

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null

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5

f6bb3754b700dec9c2e39e70d0506efc52382ae6

5,144

py

Python

course_catalog/migrations/0066_podcast_podcastepisode.py

mitodl/open-discussions

ab6e9fac70b8a1222a84e78ba778a7a065c20541

[ "BSD-3-Clause" ]

12

2017-09-27T21:23:27.000Z

2020-12-25T04:31:30.000Z

course_catalog/migrations/0066_podcast_podcastepisode.py

mitodl/open-discussions

ab6e9fac70b8a1222a84e78ba778a7a065c20541

[ "BSD-3-Clause" ]

3,293

2017-06-30T18:16:01.000Z

2022-03-31T18:01:34.000Z

course_catalog/migrations/0066_podcast_podcastepisode.py

mitodl/open-discussions

ab6e9fac70b8a1222a84e78ba778a7a065c20541

[ "BSD-3-Clause" ]

1

2020-04-13T12:19:57.000Z

# Generated by Django 2.2.10 on 2020-04-06 16:02 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [("course_catalog", "0065_higher_prices")] operations = [ migrations.CreateModel( name="Podcast", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("created_on", models.DateTimeField(auto_now_add=True)), ("updated_on", models.DateTimeField(auto_now=True)), ("title", models.CharField(max_length=256)), ("short_description", models.TextField(blank=True, null=True)), ("podcast_id", models.CharField(max_length=80, unique=True)), ("full_description", models.TextField(blank=True, null=True)), ("image_src", models.URLField(blank=True, max_length=400, null=True)), ("published", models.BooleanField(default=True)), ("url", models.URLField(max_length=2048, null=True)), ("searchable", models.BooleanField(default=True)), ( "offered_by", models.ManyToManyField( blank=True, to="course_catalog.LearningResourceOfferor" ), ), ( "topics", models.ManyToManyField(blank=True, to="course_catalog.CourseTopic"), ), ], options={"abstract": False}, ), migrations.AlterField( model_name="favoriteitem", name="content_type", field=models.ForeignKey( limit_choices_to={ "model__in": ( "course", "bootcamp", "userlist", "program", "video", "podcast", "podcastepisode", ) }, on_delete=django.db.models.deletion.CASCADE, to="contenttypes.ContentType", ), ), migrations.AlterField( model_name="userlistitem", name="content_type", field=models.ForeignKey( limit_choices_to={ "model__in": ( "course", "bootcamp", "program", "video", "podcast", "podcastepisode", ) }, on_delete=django.db.models.deletion.CASCADE, to="contenttypes.ContentType", ), ), migrations.CreateModel( name="PodcastEpisode", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("created_on", models.DateTimeField(auto_now_add=True)), ("updated_on", models.DateTimeField(auto_now=True)), ("title", models.CharField(max_length=256)), ("short_description", models.TextField(blank=True, null=True)), ("episode_id", models.CharField(max_length=80)), ("full_description", models.TextField(blank=True, null=True)), ("image_src", models.URLField(blank=True, max_length=400, null=True)), ("last_modified", models.DateTimeField(blank=True, null=True)), ("published", models.BooleanField(default=True)), ("transcript", models.TextField(blank=True, default="")), ("url", models.URLField(max_length=2048, null=True)), ("searchable", models.BooleanField(default=True)), ("duration", models.CharField(blank=True, max_length=10, null=True)), ( "offered_by", models.ManyToManyField( blank=True, to="course_catalog.LearningResourceOfferor" ), ), ( "podcast", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="episodes", to="course_catalog.Podcast", ), ), ( "topics", models.ManyToManyField(blank=True, to="course_catalog.CourseTopic"), ), ], options={"unique_together": {("podcast", "episode_id")}}, ), ]

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0.446734

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0.661002

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null

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1

0

1

0

1

0

null

0

5

f6bc24ce04f78862dc8ecfd91502348da4f386a8

137

py

Python

app/core/apps.py

MaiLyLe/appreciateu-backend-code

e498dc4070ae3f6e8650cdff750ee82816d60919

[ "MIT" ]

null

app/core/apps.py

MaiLyLe/appreciateu-backend-code

e498dc4070ae3f6e8650cdff750ee82816d60919

[ "MIT" ]

null

app/core/apps.py

MaiLyLe/appreciateu-backend-code

e498dc4070ae3f6e8650cdff750ee82816d60919

[ "MIT" ]

null

from django.apps import AppConfig class CoreConfig(AppConfig): """Auto-generated AppConfig class for Core app""" name = 'core'

19.571429

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0.715328

17

137

5.764706

0.764706

0.285714

0

0.182482

137

6

54

22.833333

0.875

0.313869

0

1

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1

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1

0

null

0

1

0

5

1004d0bc22c522f1ad6e64c37bc5aed0b54c3ff2

177

py

Python

scenarios/bank_account_verification_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

12

2015-04-12T06:18:33.000Z

2021-03-03T23:54:19.000Z

scenarios/bank_account_verification_show/executable.py

takwas/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

1

2021-11-24T20:10:19.000Z

scenarios/bank_account_verification_show/executable.py

takwas/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

14

2015-03-23T17:52:06.000Z

2021-11-24T11:04:15.000Z

import balanced balanced.configure('ak-test-2eKlj1ZDfAcZSARMf3NMhBHywDej0avSY') verification = balanced.BankAccountVerification.fetch('/verifications/BZ3SVvXTx85CrYo8045tr2cU')

44.25

96

0.875706

13

177

11.923077

0.846154

0

0.070175

0.033898

177

4

96

44.25

0.836257

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0.449438

0

1

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false

0

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0.333333

0

1

0

1

null

0

1

0

1

null

0

1

0

5

63e4a998efe8bc1cecbe6f00e4f0ce4b48da2da5

23

py

Python

Aulas/a19/a16.py

rafaelbhcosta/Python_para_iniciantes

f6b750b71e3a9d6701b29cc6e8b09aad2649c700

[ "MIT" ]

null

Aulas/a19/a16.py

rafaelbhcosta/Python_para_iniciantes

f6b750b71e3a9d6701b29cc6e8b09aad2649c700

[ "MIT" ]

null

Aulas/a19/a16.py

rafaelbhcosta/Python_para_iniciantes

f6b750b71e3a9d6701b29cc6e8b09aad2649c700

[ "MIT" ]

null

# Condições e repetição

23

0.826087

3

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1

0

0.130435

23

1

23

0.95

0.913043

0

null

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null

1

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true

0

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1

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null

0

1

0

1

0

null

0

1

0

5

63ea14a9994ae5b5e3b115878dfe9c00dfaee5ce

64

py

Python

main.py

oleglpts/swig-example

98f8f1b93a0f52ec478b1590ea17d507f9eb423c

[ "MIT" ]

null

main.py

oleglpts/swig-example

98f8f1b93a0f52ec478b1590ea17d507f9eb423c

[ "MIT" ]

null

main.py

oleglpts/swig-example

98f8f1b93a0f52ec478b1590ea17d507f9eb423c

[ "MIT" ]

null

#!/usr/bin/python3 from test_wget import test_wget test_wget()

12.8

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64

4.272727

0.636364

0.510638

0

0.017544

0.109375

64

4

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0.265625

0

1

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true

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1

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1

0

null

0

1

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1

0

5

63f80555d84235c2257bcff12ba80da01ca4f53e

7,373

py

Python

lcp_video/benchmarks/real_time_data_analysis.py

vstadnytskyi/lcp-video

a65f9c8ecd370d975128af67427f3dd8141bf667

[ "BSD-3-Clause" ]

null

lcp_video/benchmarks/real_time_data_analysis.py

vstadnytskyi/lcp-video

a65f9c8ecd370d975128af67427f3dd8141bf667

[ "BSD-3-Clause" ]

null

lcp_video/benchmarks/real_time_data_analysis.py

vstadnytskyi/lcp-video

a65f9c8ecd370d975128af67427f3dd8141bf667

[ "BSD-3-Clause" ]

null

""" benchmark file to test conversion of raw byte stream to image format """ def save_frame_to_hdf5_file(fsrc, key = 'images', compression = 0): """ a benchmark function that would test the write speed from an hdf5 file """ preparation = "" preparation += "from h5py import File;" preparation += "from tempfile import gettempdir;" preparation += "import os;" preparation += "root = gettempdir()" preparation += "filename_dst = os.path.join(root,'test_destination.hdf5')" preparation += "filename_dst = os.path.join(root,'test_destination.hdf5')" testcode = '' def hits_1(): """ """ pass def benchmark_get_mono12packed_conversion_mask(): from lcp_video.analysis import get_mono12packed_conversion_mask from ubcs_auxiliary.save_load_object import load_from_file from time import time import timeit from numpy import array preparation= '' preparation += "from lcp_video.analysis import get_mono12packed_conversion_mask;" preparation += "length=1,height = 2048; width = 2448;" testcode = 'mask = get_mono12packed_conversion_mask(int(width*height*length*1.5))' t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"{round(temp.mean(),3)} +- {round(temp.std(),3)}") def benchmark_mono12packed_to_image(): #mono12packed_to_image(rawdata, height, width, mask) from lcp_video.analysis import get_mono12packed_conversion_mask from ubcs_auxiliary.save_load_object import load_from_file from time import time import timeit from numpy import array preparation = "" testcode = 'data = mono12packed_to_image(rawdata,height,width,mask)' preparation += "from ubcs_auxiliary.save_load_object import load_from_file;" preparation += "from lcp_video.analysis import get_mono12packed_conversion_mask;" preparation += "from lcp_video.analysis import mono12packed_to_image;" preparation += "rawdata = load_from_file('lcp_video/test_data/flir_rawdata_mono12packed.pkl');" preparation += "length=1,height = 2048; width = 2448;" preparation += "mask = get_mono12packed_conversion_mask(int(width*height*1.5));" preparation += 'from numpy import vstack, tile, hstack, arange,reshape,vstack, tile, hstack, arange,reshape;' print('tested code') print("l1: data_Nx8 = ((rawdata.reshape((-1,1)) & (2**arange(8))) != 0)") print("l2: data_N8x1 = data_Nx8.flatten()") print("l3: data_Mx12 = data_N8x1.reshape((int(rawdata.shape[0]/1.5),12))") print("l4: data = (data_Mx12*mask).sum(axis=1)") print("l5: data.reshape((length,height,width)).astype('int16')") t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"full code: {round(temp.mean(),3)} +- {round(temp.std(),3)}") testcode = "data_Nx8 = ((rawdata.reshape((-1,1)) & (2**arange(8))) != 0);" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line1: {round(temp.mean(),3)} +- {round(temp.std(),3)}") preparation +=testcode testcode = "data_N8x1 = data_Nx8.flatten();" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line2: {round(temp.mean(),3)} +- {round(temp.std(),3)}") preparation +=testcode testcode = "data_Mx12 = data_N8x1.reshape((int(rawdata.shape[0]/1.5),12)).astype('int16');" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line3: {round(temp.mean(),3)} +- {round(temp.std(),3)}") preparation +=testcode testcode = "data = (data_Mx12*mask).sum(axis=1);" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line4: {round(temp.mean(),3)} +- {round(temp.std(),3)}") preparation +=testcode testcode = "data.reshape((height,width)).astype('int16');" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line5: {round(temp.mean(),3)} +- {round(temp.std(),3)}") preparation +=testcode def benchmark_mono12p_to_image(N = 2): #mono12packed_to_image(rawdata, height, width, mask) from ubcs_auxiliary.save_load_object import load_from_file from time import time import timeit from numpy import array preparation = "" testcode = 'data = mono12p_to_image(rawdata,length,height,width,mask,mask8)' preparation += "from ubcs_auxiliary.save_load_object import load_from_file;" preparation += 'from numpy import vstack, tile, hstack, arange,reshape, vstack, tile, hstack, arange,reshape, packbits, reshape, int16, concatenate, array;' preparation += "from lcp_video.analysis import mono12p_to_image;" preparation += "from lcp_video.analysis import get_mono12p_conversion_mask,get_mono12p_conversion_mask_8bit;" preparation += f"length = {int(N)};height = 2048; width = 2448;" preparation += "rawdata = load_from_file('lcp_video/test_data/flir_rawdata_mono12p.pkl'); rawdata = array([rawdata]*length);" preparation += "mask = get_mono12p_conversion_mask(int(width*height*length*1.5));" preparation += "mask8 = get_mono12p_conversion_mask_8bit(int(width*height*length*1.5));" t_full = timeit.Timer(testcode,preparation) print('tested code') print("1: data_Nx8 = ((rawdata.reshape((-1,1)) & (mask8)) != 0)") print("2: data_N8x1 = data_Nx8.flatten()") print("3: data_Mx12 = data_N8x1.reshape((int(rawdata.shape[-1]*length/1.5),12)).astype('int16')") print("4: data = (data_Mx12 * mask)).T.sum(axis=0)") print("5: data.reshape((length,height,width)).astype('int16')')") temp = array(t_full.repeat(4,20))/20 print(f"Full function: {round(temp.mean(),3)} +- {round(temp.std(),3)}") testcode = 'data_Nx8 = ((rawdata.reshape((-1,1)) & (mask8)) != 0);' t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line1: {round(temp.mean(),3)} +- {round(temp.std(),3)} with min of {round(temp.min(),3)} ") preparation +=testcode testcode = 'data_N8x1 = data_Nx8.flatten();' t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line2: {round(temp.mean(),3)} +- {round(temp.std(),3)} with min of {round(temp.min(),3)} ") preparation +=testcode testcode = "data_Mx12 = data_N8x1.reshape((int(rawdata.shape[-1]*length/1.5),12));" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line3: {round(temp.mean(),3)} +- {round(temp.std(),3)} with min of {round(temp.min(),3)} ") preparation +=testcode testcode = "data = (data_Mx12*mask).T.sum(axis=0);" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line4: {round(temp.mean(),3)} +- {round(temp.std(),3)} with min of {round(temp.min(),3)} ") preparation +=testcode testcode = "data.reshape((length,height,width)).astype('int16');" t = timeit.Timer(testcode,preparation) temp = array(t.repeat(4,20))/20 print(f"line5: {round(temp.mean(),3)} +- {round(temp.std(),3)} with min of {round(temp.min(),3)} ") def profile_mono12p_to_image(): from ubcs_auxiliary.save_load_object import load_from_file from lcp_video.analysis import mono12p_to_image mono12p = load_from_file('lcp_video/test_data/flir_rawdata_mono12p.pkl') height = 2048 width = 2448 data = mono12p_to_image(mono12p,height,width)

43.886905

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7,373

4.743164

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0.050854

0.080296

0.830142

0.801318

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0.726992

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7,373

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0.476563

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1

0.046875

false

0.007813

0.21875

0

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0.195313

0

null

0

1

0

1

0

null

0

5

1209fd715290099bd761eefae18a8340332ab121

264

py

Python

src/wai/bynning/extraction/__init__.py

waikato-datamining/bynning

01b7368d4dc1094651d7cbe067576dfb3756a1d3

[ "MIT" ]

null

src/wai/bynning/extraction/__init__.py

waikato-datamining/bynning

01b7368d4dc1094651d7cbe067576dfb3756a1d3

[ "MIT" ]

null

src/wai/bynning/extraction/__init__.py

waikato-datamining/bynning

01b7368d4dc1094651d7cbe067576dfb3756a1d3

[ "MIT" ]

null

from ._ConstantExtractor import ConstantExtractor from ._Extractor import Extractor from ._IdentityExtractor import IdentityExtractor from ._IndexExtractor import IndexExtractor from ._LabelExtractor import LabelExtractor from ._SizeExtractor import SizeExtractor

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5

120df784a1da64073a642e72d49d0afdcc5b0ea7

17,038

py

Python

test/test_space_handler.py

TiddlySpace/tiddlyspace

5f2139340d2d9e3a37068b5c58ecb2e599d798b8

[ "BSD-3-Clause" ]

32

2015-01-04T10:54:29.000Z

2022-01-22T16:45:24.000Z

test/test_space_handler.py

TiddlySpace/tiddlyspace

5f2139340d2d9e3a37068b5c58ecb2e599d798b8

[ "BSD-3-Clause" ]

4

2016-12-08T14:04:26.000Z

2018-02-20T10:23:33.000Z

test/test_space_handler.py

TiddlySpace/tiddlyspace

5f2139340d2d9e3a37068b5c58ecb2e599d798b8

[ "BSD-3-Clause" ]

14

2015-01-19T23:18:20.000Z

2021-06-22T01:10:08.000Z

""" Test and flesh a /spaces handler-space. GET /spaces: list all spaces GET /spaces/{space_name}: 204 if exist GET /spaces/{space_name}/members: list all members PUT /spaces/{space_name}: create a space PUT /spaces/{space_name}/members/{member_name}: add a member DELETE /spaces/{space_name}/members/{member_name}: remove a member POST /spaces/{space_name}: Handle subscription, the data package is JSON as {"subscriptions": ["space1", "space2", "space3"]} """ import simplejson import httplib2 import wsgi_intercept import py.test from wsgi_intercept import httplib2_intercept from httpexceptor import HTTP409 from tiddlyweb.model.bag import Bag from tiddlyweb.model.recipe import Recipe from tiddlyweb.model.user import User from tiddlywebplugins.tiddlyspace.spaces import _update_policy, _make_policy from test.fixtures import make_test_env, make_fake_space, get_auth SYSTEM_SPACES = ['system-plugins', 'system-info', 'system-images', 'system-theme', 'system-applications'] SYSTEM_URLS = ['http://system-plugins.0.0.0.0:8080/', 'http://system-info.0.0.0.0:8080/', 'http://system-applications.0.0.0.0:8080/', 'http://system-images.0.0.0.0:8080/', 'http://system-theme.0.0.0.0:8080/'] def setup_module(module): make_test_env(module) httplib2_intercept.install() from tiddlyweb.config import config config['blacklisted_spaces'] = ['scrappy'] wsgi_intercept.add_wsgi_intercept('0.0.0.0', 8080, app_fn) wsgi_intercept.add_wsgi_intercept('cdent.0.0.0.0', 8080, app_fn) wsgi_intercept.add_wsgi_intercept('extra.0.0.0.0', 8080, app_fn) make_fake_space(module.store, 'cdent') user = User('cdent') user.set_password('cow') module.store.put(user) user = User('fnd') user.set_password('bird') module.store.put(user) user = User('psd') user.set_password('cat') module.store.put(user) def test_spaces_list(): http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces', method='GET') assert response['status'] == '200' assert response['cache-control'] == 'no-cache, no-transform' info = simplejson.loads(content) uris = [uri for _, uri in [item.values() for item in info]] names = [name for name, _ in [item.values() for item in info]] expected_uris = ['http://0.0.0.0:8080/', 'http://cdent.0.0.0.0:8080/'] expected_uris.extend(SYSTEM_URLS) expected_names = ['cdent', 'frontpage'] expected_names.extend(SYSTEM_SPACES) assert sorted(uris) == sorted(expected_uris) assert sorted(names) == sorted(expected_names) make_fake_space(store, 'fnd') response, content = http.request('http://0.0.0.0:8080/spaces', method='GET') assert response['status'] == '200' info = simplejson.loads(content) uris = [uri for _, uri in [item.values() for item in info]] assert 'http://cdent.0.0.0.0:8080/' in uris assert 'http://fnd.0.0.0.0:8080/' in uris def test_space_exist(): http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/cdent', method='GET') assert response['status'] == '204' assert content == '' http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/nancy', method='GET') assert response['status'] == '404' assert 'There is nothing at this address.' in content def test_space_members(): http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/cdent/members', method='GET') assert response['status'] == '401' cookie = get_auth('cdent', 'cow') response, content = http.request('http://0.0.0.0:8080/spaces/cdent/members', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='GET') assert response['status'] == '200' assert response['cache-control'] == 'no-cache, no-transform' info = simplejson.loads(content) assert info == ['cdent'] response, content = http.request('http://0.0.0.0:8080/spaces/nancy/members', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='GET') response['status'] == '404' def test_create_space(): cookie = get_auth('cdent', 'cow') http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/cdent', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='PUT') assert response['status'] == '409' response, content = http.request('http://0.0.0.0:8080/spaces/extra', method='GET') assert response['status'] == '404' response, content = http.request('http://0.0.0.0:8080/spaces/extra', method='PUT') assert response['status'] == '403' response, content = http.request('http://0.0.0.0:8080/spaces/extra', method='PUT', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, ) assert response['status'] == '201' assert response['location'] == 'http://extra.0.0.0.0:8080/' response, content = http.request('http://0.0.0.0:8080/spaces/extra/members', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='GET') response['status'] == '200' info = simplejson.loads(content) assert info == ['cdent'], content response, content = http.request('http://extra.0.0.0.0:8080/bags/extra_public/tiddlers/SiteInfo.json') assert response['status'] == '200' info = simplejson.loads(content) assert 'Space extra' in info['text'] response, content = http.request( 'http://extra.0.0.0.0:8080/GettingStarted.json') assert response['status'] == '200' info = simplejson.loads(content) assert info['bag'] == 'extra_public' bag = store.get(Bag('extra_public')) assert bag.policy.owner == 'cdent' assert bag.policy.read == [] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent'] assert bag.policy.write == ['cdent'] assert bag.policy.create == ['cdent'] assert bag.policy.delete == ['cdent'] bag = store.get(Bag('extra_private')) assert bag.policy.owner == 'cdent' assert bag.policy.read == ['cdent'] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent'] assert bag.policy.write == ['cdent'] assert bag.policy.create == ['cdent'] assert bag.policy.delete == ['cdent'] bag = store.get(Bag('extra_archive')) assert bag.policy.owner == 'cdent' assert bag.policy.read == ['cdent'] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent'] assert bag.policy.write == ['cdent'] assert bag.policy.create == ['cdent'] assert bag.policy.delete == ['cdent'] recipe = store.get(Recipe('extra_public')) assert recipe.policy.owner == 'cdent' assert recipe.policy.read == [] assert recipe.policy.accept == ['NONE'] assert recipe.policy.manage == ['cdent'] assert recipe.policy.write == ['cdent'] assert recipe.policy.create == ['cdent'] assert recipe.policy.delete == ['cdent'] recipe_list = recipe.get_recipe() assert len(recipe_list) == 7 assert recipe_list[0][0] == 'system' assert recipe_list[1][0] == 'tiddlyspace' assert recipe_list[2][0] == 'system-plugins_public' assert recipe_list[3][0] == 'system-info_public' assert recipe_list[4][0] == 'system-images_public' assert recipe_list[5][0] == 'system-theme_public' assert recipe_list[6][0] == 'extra_public' recipe = store.get(Recipe('extra_private')) recipe_list = recipe.get_recipe() assert recipe.policy.owner == 'cdent' assert recipe.policy.read == ['cdent'] assert recipe.policy.accept == ['NONE'] assert recipe.policy.manage == ['cdent'] assert recipe.policy.write == ['cdent'] assert recipe.policy.create == ['cdent'] assert recipe.policy.delete == ['cdent'] assert len(recipe_list) == 8 assert recipe_list[0][0] == 'system' assert recipe_list[1][0] == 'tiddlyspace' assert recipe_list[2][0] == 'system-plugins_public' assert recipe_list[3][0] == 'system-info_public' assert recipe_list[4][0] == 'system-images_public' assert recipe_list[5][0] == 'system-theme_public' assert recipe_list[6][0] == 'extra_public' assert recipe_list[7][0] == 'extra_private' def test_reserved_space_name(): cookie = get_auth('cdent', 'cow') http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/www', method='PUT', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, ) assert response['status'] == '409' assert 'Invalid space name: www' in content def test_case_in_space(): cookie = get_auth('cdent', 'cow') http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/CeXtRa', method='PUT', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, ) assert response['status'] == '409' def test_chars_in_space(): testcases = [ ('foo', '201'), ('bAr', '409'), ('f0o', '201'), ('fo0', '201'), ('0foo', '201'), ('foo-bar', '201'), ('foo-bar-baz', '201'), ('-foo', '409'), ('foo-', '409'), ] cookie = get_auth('cdent', 'cow') http = httplib2.Http() for name, status in testcases: response, content = http.request('http://0.0.0.0:8080/spaces/%s' % name, method='PUT', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, ) assert response['status'] == status def test_add_a_member(): cookie = get_auth('cdent', 'cow') http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/extra/members/fnd', method='PUT', ) assert response['status'] == '403', content response, content = http.request('http://extra.0.0.0.0:8080/spaces/extra/members/fnd', method='PUT', ) assert response['status'] == '403', content response, content = http.request('http://0.0.0.0:8080/spaces/extra/members/fnd', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='PUT', ) assert response['status'] == '403' response, content = http.request('http://extra.0.0.0.0:8080/spaces/extra/members/fnd', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='PUT', ) assert response['status'] == '204' response, content = http.request('http://0.0.0.0:8080/spaces/extra/members', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='GET') assert response['status'] == '200', content info = simplejson.loads(content) assert info == ['cdent', 'fnd'] bag = store.get(Bag('extra_private')) assert bag.policy.owner == 'cdent' assert bag.policy.read == ['cdent', 'fnd'] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent', 'fnd'] assert bag.policy.write == ['cdent', 'fnd'] assert bag.policy.create == ['cdent', 'fnd'] assert bag.policy.delete == ['cdent', 'fnd'] bag = store.get(Bag('extra_archive')) assert bag.policy.owner == 'cdent' assert bag.policy.read == ['cdent', 'fnd'] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent', 'fnd'] assert bag.policy.write == ['cdent', 'fnd'] assert bag.policy.create == ['cdent', 'fnd'] assert bag.policy.delete == ['cdent', 'fnd'] bag = store.get(Bag('extra_public')) assert bag.policy.owner == 'cdent' assert bag.policy.read == [] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent', 'fnd'] assert bag.policy.write == ['cdent', 'fnd'] assert bag.policy.create == ['cdent', 'fnd'] assert bag.policy.delete == ['cdent', 'fnd'] # authed user not in space may not add people cookie = get_auth('psd', 'cat') response, content = http.request('http://0.0.0.0:8080/spaces/extra/members/psd', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='PUT', ) assert response['status'] == '403' cookie = get_auth('fnd', 'bird') response, content = http.request('http://extra.0.0.0.0:8080/spaces/extra/members/psd', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='PUT', ) assert response['status'] == '204' cookie = get_auth('fnd', 'bird') response, content = http.request('http://extra.0.0.0.0:8080/spaces/extra/members/mary', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='PUT', ) assert response['status'] == '409' def test_update_policy_nonstandard(): policy = _make_policy('jon') setattr(policy, 'write', ['ANY']) setattr(policy, 'read', ['fnd']) py.test.raises(HTTP409, '_update_policy(policy, add="jon")') setattr(policy, 'write', []) setattr(policy, 'create', ['NONE']) py.test.raises(HTTP409, '_update_policy(policy, add="jon")') def test_delete_member(): cookie = get_auth('fnd', 'bird') http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/extra/members/psd', method='DELETE', ) assert response['status'] == '403' response, content = http.request('http://extra.0.0.0.0:8080/spaces/extra/members/psd', method='DELETE', ) assert response['status'] == '403' response, content = http.request('http://0.0.0.0:8080/spaces/extra/members/psd', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='DELETE', ) assert response['status'] == '403' response, content = http.request('http://extra.0.0.0.0:8080/spaces/extra/members/psd', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='DELETE', ) assert response['status'] == '204' # delete self response, content = http.request('http://extra.0.0.0.0:8080/spaces/extra/members/fnd', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, method='DELETE', ) assert response['status'] == '204' bag = store.get(Bag('extra_private')) assert bag.policy.owner == 'cdent' assert bag.policy.read == ['cdent'] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent'] assert bag.policy.write == ['cdent'] assert bag.policy.create == ['cdent'] assert bag.policy.delete == ['cdent'] bag = store.get(Bag('extra_archive')) assert bag.policy.owner == 'cdent' assert bag.policy.read == ['cdent'] assert bag.policy.accept == ['NONE'] assert bag.policy.manage == ['cdent'] assert bag.policy.write == ['cdent'] assert bag.policy.create == ['cdent'] assert bag.policy.delete == ['cdent'] def test_subscription(): cookie = get_auth('cdent', 'cow') http = httplib2.Http() subscriptions = simplejson.dumps({'subscriptions': ['extra']}) response, content = http.request('http://0.0.0.0:8080/spaces/cdent', method='POST', headers={ 'Content-Type': 'application/json', }, body=subscriptions) assert response['status'] == '403' response, content = http.request('http://0.0.0.0:8080/spaces/cdent', method='POST', headers={ 'Content-Type': 'application/json', 'Cookie': 'tiddlyweb_user="%s"' % cookie, }, body='') assert response['status'] == '409' response, content = http.request('http://0.0.0.0:8080/spaces/cdent', method='POST', headers={ 'Content-Type': 'application/json', 'Cookie': 'tiddlyweb_user="%s"' % cookie, }, body=subscriptions) assert response['status'] == '204' def test_blacklisted_subscription(): cookie = get_auth('cdent', 'cow') http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces/scrappy', method='PUT', headers={'Cookie': 'tiddlyweb_user="%s"' % cookie}, ) assert response['status'] == '201' subscriptions = simplejson.dumps({'subscriptions': ['scrappy']}) response, content = http.request('http://0.0.0.0:8080/spaces/cdent', method='POST', headers={ 'Content-Type': 'application/json', 'Cookie': 'tiddlyweb_user="%s"' % cookie, }, body=subscriptions) assert response['status'] == '409' assert 'Subscription not allowed to space: scrappy' in content def test_list_my_spaces(): http = httplib2.Http() response, content = http.request('http://0.0.0.0:8080/spaces?mine=1', method='GET') assert response['status'] == '200' info = simplejson.loads(content) assert 'fnd' not in info

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5

1243e7ca7a643469bdc0666fc8afeea65d35cc40

15,558

py

Python

app/lpd/tests/alphabet.py

stfc-aeg/lpd-detector

7bc0d9700a3d3992a4541f05e1434aba0d056dcc

[ "Apache-2.0" ]

null

app/lpd/tests/alphabet.py

stfc-aeg/lpd-detector

7bc0d9700a3d3992a4541f05e1434aba0d056dcc

[ "Apache-2.0" ]

20

2018-10-04T07:36:22.000Z

2020-05-18T13:10:42.000Z

app/lpd/tests/alphabet.py

stfc-aeg/lpd-detector

7bc0d9700a3d3992a4541f05e1434aba0d056dcc

[ "Apache-2.0" ]

null

''' Alphabet.py - A collection of functions to help draw letters on an ASIC ''' import argparse, sys from datetime import datetime class Alphabet(): def __init__(self, fileName=None): if fileName == None: raise Exception("Alphabet Object created without fileName argument!") else: self.file = open(fileName, "w") def horizontalLine(self, tile, asic, start, stop): ''' Draws a straight line from 'start' until 'stop', targeting 'asic' and 'tile' Note: stop must be greater than start ''' if not stop >= start: raise Exception("stop (%s) must be greater than start (%s) " % (stop, start)) for index in range(0, 512, 16): lowerLimit = index upperLimit = index +16 if (start >= lowerLimit and start < upperLimit) and (stop < lowerLimit or stop >= upperLimit): raise Exception("start (%s) not on same horizontal line as stop (%s) " % (start, stop)) xmlString = ' \n' % (start, stop, tile, asic) for pixel in range(start, stop+1): # xmlString += ' <mux_decoder tile="%s" asic="%s" pixel="%s" value="4"/>\n' % (tile, asic, pixel) # # xmlString += ' <mux_decoder ' if tile != None: xmlString += 'tile="%s" ' % tile if asic != None: xmlString += 'asic="%s" ' % asic xmlString += 'pixel="%s" value="4"/>\n' % pixel self.file.write( xmlString) def verticalLine(self, tile, asic, start, stop): ''' Draws a straight line from 'start' until 'stop', targeting 'asic' and 'tile' Note: stop must be greater than start ''' if not stop >= start: raise Exception("stop (%s) must be greater than start (%s) " % (stop, start)) if not (start % 16 and stop % 16): raise Exception("start (%s) not on same vertical line as stop (%s) " % (start, stop)) xmlString = ' \n' % (start, stop, tile, asic) for pixel in range(start, stop+1, 16): xmlString += ' <mux_decoder ' if tile != None: xmlString += 'tile="%s" ' % tile if asic != None: xmlString += 'asic="%s" ' % asic xmlString += 'pixel="%s" value="4"/>\n' % pixel self.file.write( xmlString) def singlePixel(self, tile, asic, pixel): ''' Place a single pixel within a specified tile and ASIC ''' if not ( -1 < pixel < 512): raise Exception("singlePixel() pixel (%s) outside valid range " % ( pixel)) xmlString = ' <mux_decoder tile="%s" asic="%s" pixel="%s" value="4"/>\n' % (tile, asic, pixel) self.file.write( xmlString) def insertComment(self, comment): xmlString = '\n\n \n' % (comment) self.file.write( xmlString) def __del__(self): self.file.close() if __name__ == '__main__': a = Alphabet(fileName = "test.xml") a.insertComment( " This is the file generated by Alphabet.py and does not constitute a full, valid XML Setup Params XML file.") currentTime = str( datetime.now()) a.insertComment( " This file generated on: %s" % currentTime) # Draw 10 - On eight ASICs within one tile (tile, asic) = (10, None) a.insertComment( "TILE 10, Labelled Numeral 10") (start, stop) = (115, 227) a.verticalLine( tile, asic, start, stop) (start, stop) = (119, 231) a.verticalLine( tile, asic, start, stop) (start, stop) = (132, 148) a.verticalLine( tile, asic, start, stop) (start, stop) = (165, 181) a.verticalLine( tile, asic, start, stop) (start, stop) = (198, 214) a.verticalLine( tile, asic, start, stop) (start, stop) = (100, 102) a.horizontalLine( tile, asic, start, stop) (start, stop) = (244, 246) a.horizontalLine( tile, asic, start, stop) number = 15 (tile, asic) = (number, None) a.insertComment( "TILE %s, Labelled Numeral %s" % (number, number)) (start, stop) = (33, 241) a.verticalLine( tile, asic, start, stop) (start, stop) = (34, 36) a.horizontalLine( tile, asic, start, stop) (start, stop) = (50, 52) a.horizontalLine( tile, asic, start, stop) # # Draw 0 - On one ASIC of every tile # (tile, asic) = (None, 0) # a.insertComment( "Numeral 0") # (start, stop) = (339, 451) #115, 227) # a.verticalLine( tile, asic, start, stop) # (start, stop) = (343, 455) #119, 231) # a.verticalLine( tile, asic, start, stop) # (start, stop) = (356, 372)#132, 148) # a.verticalLine( tile, asic, start, stop) # (start, stop) = (389, 405) #165, 181) # a.verticalLine( tile, asic, start, stop) # (start, stop) = (422, 438) #198, 214) # a.verticalLine( tile, asic, start, stop) # (start, stop) = (324, 326) #100, 102) # a.horizontalLine( tile, asic, start, stop) # (start, stop) = (468, 470) #244, 246) # a.horizontalLine( tile, asic, start, stop) # if False: #True = "XFEL SUPE" False = "R KLASSE !" # # Draw F # asic = 6 # a.insertComment( "Letter F") # (start, stop) = (466, 476) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (258, 264) # a.horizontalLine( 0, asic, start, stop) # # # Draw E # asic=5 # a.insertComment( "Letter E") # (start, stop) = (34, 45) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (466, 476) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (258, 263) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # # Draw L # asic=4 # a.insertComment( "Letter L") # (start, stop) = (34, 45) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # # Draw S # asic=3 # a.insertComment( "Letter S") # (start, stop) = (34, 45) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=61, tile=0, asic=asic) # # (start, stop) = (77, 237) # a.verticalLine( 0, asic, start, stop) # a.singlePixel(pixel=252, tile=0, asic=asic) # # (start, stop) = (260, 267) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=275, tile=0, asic=asic) # # (start, stop) = (290, 434) # a.verticalLine( 0, asic, start, stop) # a.singlePixel(pixel=451, tile=0, asic=asic) # # (start, stop) = (468, 476) # a.horizontalLine( 0, asic, start, stop) # # # Draw U # asic=2 # a.insertComment( "Letter U") # a.singlePixel(pixel=51, tile=0, asic=asic) # (start, stop) = (36, 44) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=61, tile=0, asic=asic) # # (start, stop) = (66, 466) # a.verticalLine( 0, asic, start, stop) # # (start, stop) = (78, 478) # a.verticalLine( 0, asic, start, stop) # # # Draw P # asic=1 # a.insertComment( "Letter P") # (start, stop) = (466, 474) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=459, tile=0, asic=asic) # (start, stop) = (300, 444) # a.verticalLine( 0, asic, start, stop) # # a.singlePixel(pixel=283, tile=0, asic=asic) # (start, stop) = (258, 266) # a.horizontalLine( 0, asic, start, stop) # # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # # Draw E # asic=0 # a.insertComment( "Letter E") # (start, stop) = (34, 45) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (466, 476) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (258, 263) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # else: # # # Draw R # asic=7 # a.insertComment( "Letter R") # (start, stop) = (466, 474) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=459, tile=0, asic=asic) # (start, stop) = (300, 444) # a.verticalLine( 0, asic, start, stop) # # a.singlePixel(pixel=283, tile=0, asic=asic) # (start, stop) = (258, 266) # a.horizontalLine( 0, asic, start, stop) # # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # a.singlePixel(pixel=46, tile=0, asic=asic) # a.singlePixel(pixel=62, tile=0, asic=asic) # a.singlePixel(pixel=77, tile=0, asic=asic) # a.singlePixel(pixel=93, tile=0, asic=asic) # a.singlePixel(pixel=109, tile=0, asic=asic) # a.singlePixel(pixel=108, tile=0, asic=asic) # a.singlePixel(pixel=124, tile=0, asic=asic) # a.singlePixel(pixel=140, tile=0, asic=asic) # a.singlePixel(pixel=139, tile=0, asic=asic) # a.singlePixel(pixel=155, tile=0, asic=asic) # a.singlePixel(pixel=171, tile=0, asic=asic) # a.singlePixel(pixel=170, tile=0, asic=asic) # a.singlePixel(pixel=186, tile=0, asic=asic) # a.singlePixel(pixel=202, tile=0, asic=asic) # a.singlePixel(pixel=201, tile=0, asic=asic) # a.singlePixel(pixel=217, tile=0, asic=asic) # a.singlePixel(pixel=233, tile=0, asic=asic) # a.singlePixel(pixel=249, tile=0, asic=asic) # # # # Draw K # asic=6 # a.insertComment( "Letter K") # (start, stop) = (258, 264) # a.horizontalLine( 0, asic, start, stop) # # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # a.singlePixel(pixel=46, tile=0, asic=asic) # a.singlePixel(pixel=62, tile=0, asic=asic) # a.singlePixel(pixel=77, tile=0, asic=asic) # a.singlePixel(pixel=93, tile=0, asic=asic) # a.singlePixel(pixel=109, tile=0, asic=asic) # a.singlePixel(pixel=108, tile=0, asic=asic) # a.singlePixel(pixel=124, tile=0, asic=asic) # a.singlePixel(pixel=140, tile=0, asic=asic) # a.singlePixel(pixel=139, tile=0, asic=asic) # a.singlePixel(pixel=155, tile=0, asic=asic) # a.singlePixel(pixel=171, tile=0, asic=asic) # a.singlePixel(pixel=170, tile=0, asic=asic) # a.singlePixel(pixel=186, tile=0, asic=asic) # a.singlePixel(pixel=202, tile=0, asic=asic) # a.singlePixel(pixel=201, tile=0, asic=asic) # a.singlePixel(pixel=217, tile=0, asic=asic) # a.singlePixel(pixel=233, tile=0, asic=asic) # # a.singlePixel(pixel=478, tile=0, asic=asic) # a.singlePixel(pixel=462, tile=0, asic=asic) # a.singlePixel(pixel=445, tile=0, asic=asic) # a.singlePixel(pixel=429, tile=0, asic=asic) # a.singlePixel(pixel=413, tile=0, asic=asic) # a.singlePixel(pixel=396, tile=0, asic=asic) # a.singlePixel(pixel=380, tile=0, asic=asic) # a.singlePixel(pixel=363, tile=0, asic=asic) # a.singlePixel(pixel=347, tile=0, asic=asic) # a.singlePixel(pixel=330, tile=0, asic=asic) # a.singlePixel(pixel=314, tile=0, asic=asic) # a.singlePixel(pixel=298, tile=0, asic=asic) # a.singlePixel(pixel=281, tile=0, asic=asic) # a.singlePixel(pixel=265, tile=0, asic=asic) # a.singlePixel(pixel=249, tile=0, asic=asic) # # # Draw L # asic=5 # a.insertComment( "Letter L") # (start, stop) = (34, 45) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # # Draw A # asic=4 # a.insertComment( "Letter A") # a.singlePixel(pixel=34, tile=0, asic=asic) # a.singlePixel(pixel=45, tile=0, asic=asic) # (start, stop) = (51, 147) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (164, 260) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (277, 373) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (390, 454) # a.verticalLine( 0, asic, start, stop) # # (start, stop) = (471, 472) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (262, 265) # a.horizontalLine( 0, asic, start, stop) # # (start, stop) = (60, 156) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (171, 267) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (282, 378) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (393, 457) # a.verticalLine( 0, asic, start, stop) # # # Draw S # asic=3 # a.insertComment( "Letter S") # (start, stop) = (34, 44) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=61, tile=0, asic=asic) # # (start, stop) = (77, 237) # a.verticalLine( 0, asic, start, stop) # a.singlePixel(pixel=252, tile=0, asic=asic) # # (start, stop) = (260, 267) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=275, tile=0, asic=asic) # # (start, stop) = (290, 434) # a.verticalLine( 0, asic, start, stop) # a.singlePixel(pixel=451, tile=0, asic=asic) # # (start, stop) = (468, 476) # a.horizontalLine( 0, asic, start, stop) # # # Draw S # asic=2 # a.insertComment( "Letter S") # (start, stop) = (34, 44) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=61, tile=0, asic=asic) # # (start, stop) = (77, 237) # a.verticalLine( 0, asic, start, stop) # a.singlePixel(pixel=252, tile=0, asic=asic) # # (start, stop) = (260, 267) # a.horizontalLine( 0, asic, start, stop) # a.singlePixel(pixel=275, tile=0, asic=asic) # # (start, stop) = (290, 434) # a.verticalLine( 0, asic, start, stop) # a.singlePixel(pixel=451, tile=0, asic=asic) # # (start, stop) = (468, 476) # a.horizontalLine( 0, asic, start, stop) # # # Draw E # asic=1 # a.insertComment( "Letter E") # (start, stop) = (34, 45) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (466, 476) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (258, 263) # a.horizontalLine( 0, asic, start, stop) # (start, stop) = (34, 466) # a.verticalLine( 0, asic, start, stop) # # # # Draw "!" # asic=0 # a.insertComment( "Letter '!'") # (start, stop) = (104, 472) # a.verticalLine( 0, asic, start, stop) # (start, stop) = (105, 473) # a.verticalLine( 0, asic, start, stop) # # a.singlePixel(pixel=40, tile=0, asic=asic) # a.singlePixel(pixel=41, tile=0, asic=asic) # a.singlePixel(pixel=57, tile=0, asic=asic) # a.singlePixel(pixel=56, tile=0, asic=asic)

36.097448

133

0.538051

1,966

15,558

4.247711

0.125636

0.172434

0.151

0.115196

0.829601

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0.794635

0.72171

0.651539

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0.113924

0

null

0

1

0

1

0

null

0

5

1264ece0586dfcb3fab7b990e8912b744e097dd2

65

py

Python

aiohttp_auth/__init__.py

gnarlychicken/aiohttp_auth

3d55236889fb14b662279b050de18d43842bb886

[ "MIT" ]

12

2016-02-27T21:57:51.000Z

2020-10-26T13:57:47.000Z

aiohttp_auth/__init__.py

gnarlychicken/aiohttp_auth

3d55236889fb14b662279b050de18d43842bb886

[ "MIT" ]

5

2016-07-22T15:51:48.000Z

2021-09-07T21:48:01.000Z

aiohttp_auth/__init__.py

gnarlychicken/aiohttp_auth

3d55236889fb14b662279b050de18d43842bb886

[ "MIT" ]

8

2016-02-15T04:58:31.000Z

2019-01-21T14:17:16.000Z

from .auth import auth_middleware from .acl import acl_middleware

32.5

33

0.861538

10

65

5.4

0.5

0

0.107692

65

2

34

32.5

0.931034

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0

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null

0

1

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1

0

1

0

5

89cb4e28be0c31ba4a3eb24af9e21c6bb7d0a53d

79

py

Python

gui/buttons/createtable.py

tonymorony/DiceCC-GUI

89dbdcf9fe762fe673a0c8c90d461efc10ab31e4

[ "MIT" ]

null

gui/buttons/createtable.py

tonymorony/DiceCC-GUI

89dbdcf9fe762fe673a0c8c90d461efc10ab31e4

[ "MIT" ]

null

gui/buttons/createtable.py

tonymorony/DiceCC-GUI

89dbdcf9fe762fe673a0c8c90d461efc10ab31e4

[ "MIT" ]

1

2019-01-04T05:52:38.000Z

from kivy.uix.button import Button class CreateTableButton(Button): pass

13.166667

34

0.772152

10

79

6.1

0.8

0

0.164557

79

5

35

15.8

0.924242

0

1

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true

0.333333

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0.666667

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1

0

null

0

1

0

null

0

1

0

5

89e467b5fa2ce70405beb15ab10090f03bdad4e8

136

py

Python

cover_letter/urls.py

radoslawdabrowski/personal-website-framework

c33f16811caa2aafdfd84c22af8c37ee0ab97720

[ "Apache-2.0" ]

1

2021-11-06T15:22:15.000Z

cover_letter/urls.py

radoslawdabrowski/personal-website-framework

c33f16811caa2aafdfd84c22af8c37ee0ab97720

[ "Apache-2.0" ]

92

2019-12-04T22:24:35.000Z

2022-03-12T00:11:21.000Z

cover_letter/urls.py

radoslawdabrowski/personal-website

b3d4f92ea51b40b104449259a376134aeb11766b

[ "MIT" ]

1

2019-05-07T21:23:57.000Z

from django.urls import path from .views import cover_main_view urlpatterns = [ path('', cover_main_view, name="cover_main_view") ]

22.666667

53

0.757353

20

136

4.85

0.55

0.278351

0.402062

0

0.139706

136

6

54

22.666667

0.82906

0

0.109489

0

1

0

false

0

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0

null

1

0

1

0

null

0

1

0

5

89f5b7cf35fc6480927c7ae4f3257017b0366e1a

212

py

Python

graphenemodeling/experiments/transport.py

gholdman1/Graphene-Modeling

61fdf5941f4c43866e846902a21e58e5e1b2a47e

[ "MIT" ]

1

2020-06-16T01:35:26.000Z

graphenemodeling/experiments/transport.py

gholdman1/Graphene-Modeling

61fdf5941f4c43866e846902a21e58e5e1b2a47e

[ "MIT" ]

null

graphenemodeling/experiments/transport.py

gholdman1/Graphene-Modeling

61fdf5941f4c43866e846902a21e58e5e1b2a47e

[ "MIT" ]

2

2020-03-25T19:37:09.000Z

2020-07-24T13:23:45.000Z

""" ================================================== Transport (:mod:`experiments.transport`) ================================================== """ class TransportExperiment: def __init__(self): pass

14.133333

50

0.353774

10

212

7.1

0.9

0

0.09434

212

14

51

15.142857

0.369792

0.669811

0

1

0.333333

false

0.333333

0

0.666667

0

1

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null

0

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0

null

0

1

0

1

0

1

0

5

d6055f3a571d0959f9040bbb2a9e4da4f2729fd6

66

py

Python

SloppyCell/Vandermonde/__init__.py

robertvsiii/sloppycell

caf6daa09f2202acccf26ad31890fddaf4af82e8

[ "BSD-3-Clause" ]

null

SloppyCell/Vandermonde/__init__.py

robertvsiii/sloppycell

caf6daa09f2202acccf26ad31890fddaf4af82e8

[ "BSD-3-Clause" ]

1

2019-04-15T21:08:12.000Z

SloppyCell/Vandermonde/__init__.py

jurquiza/SloppyCellUrquiza2019

a9f64d9d4172c82735813f09e48f36777a714e9c

[ "BSD-3-Clause" ]

null

import decompHess import clusterScripts import VdmPairwise as Vdm

16.5

25

0.878788

8

66

7.25

0.75

0

0.121212

66

3

26

22

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d61cf09187561965053f638f27d1629a7b6616a0

261

py

Python

ossreport/cmd/banner.py

craftslab/ossreport

7c60963af28e9cc22a4c107c58b697e02261d105

[ "Apache-2.0" ]

null

ossreport/cmd/banner.py

craftslab/ossreport

7c60963af28e9cc22a4c107c58b697e02261d105

[ "Apache-2.0" ]

null

ossreport/cmd/banner.py

craftslab/ossreport

7c60963af28e9cc22a4c107c58b697e02261d105

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """figlet -f smslant <message>""" BANNER = """ ____ ___________ _______ ____ ___ ______ / __ \/ __/ __/ _ \/ __/ _ \/ __ \/ _ \/_ __/ / /_/ /\ \_\ \/ , _/ _// ___/ /_/ / , _/ / / \____/___/___/_/|_/___/_/ \____/_/|_| /_/ """

26.1

47

0.45977

8

261

4.625

1

0

0.005076

0.245211

261

9

48

29

0.182741

0.191571

0

0.333333

0.907317

0.121951

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

d6205b7099ccea98e9ca4fde1ecf67879c06b7bc

428

py

Python

nfv/nfv-common/nfv_common/tasks/__init__.py

SidneyAn/nfv

5f0262a5b6ea4be59f977b9c587c483cbe0e373d

[ "Apache-2.0" ]

2

2020-02-07T19:01:36.000Z

2022-02-23T01:41:46.000Z

nfv/nfv-common/nfv_common/tasks/__init__.py

SidneyAn/nfv

5f0262a5b6ea4be59f977b9c587c483cbe0e373d

[ "Apache-2.0" ]

1

2021-01-14T12:02:25.000Z

nfv/nfv-common/nfv_common/tasks/__init__.py

SidneyAn/nfv

5f0262a5b6ea4be59f977b9c587c483cbe0e373d

[ "Apache-2.0" ]

2

2021-01-13T08:39:21.000Z

2022-02-09T00:21:55.000Z

# # Copyright (c) 2015-2016 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # from nfv_common.tasks._task import Task # noqa: F401 from nfv_common.tasks._task import TASK_PRIORITY # noqa: F401 from nfv_common.tasks._task_future import TaskFuture # noqa: F401 from nfv_common.tasks._task_scheduler import TaskScheduler # noqa: F401 from nfv_common.tasks._task_worker_pool import TaskWorkerPool # noqa: F401

38.909091

75

0.792056

64

428

5.0625

0.46875

0.108025

0.200617

0.277778

0.5

0

0.066845

0.126168

428

10

76

42.8

0.799465

0.324766

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d62bf8e7f57002916487dc3f81e4148ad7b1ed02

2,152

py

Python

atlas/foundations_events/src/test/consumers/jobs/failed/test_error_data.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

296

2020-03-16T19:55:00.000Z

2022-01-10T19:46:05.000Z

atlas/foundations_events/src/test/consumers/jobs/failed/test_error_data.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

57

2020-03-17T11:15:57.000Z

2021-07-10T14:42:27.000Z

atlas/foundations_events/src/test/consumers/jobs/failed/test_error_data.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

38

2020-03-17T21:06:05.000Z

2022-02-08T03:19:34.000Z

import unittest from mock import Mock from foundations_events.consumers.jobs.failed.error_data import ErrorData class TestErrorData(unittest.TestCase): def setUp(self): import json self._redis = Mock() self._serializer = Mock() self._serializer.dumps.side_effect = json.dumps self._consumer = ErrorData(self._redis, self._serializer) def test_call_saved_json_job_error_data(self): input_data = {'job_id': 'my really big net', 'error_information': {'exception_type': 'The really bad kind'} } self._consumer.call(input_data, None, None) self._redis.set.assert_called_with('jobs:my really big net:error_information', '{"exception_type": "The really bad kind"}') def test_call_saved_json_job_error_data_different_job(self): input_data = {'job_id': 'my really massive net', 'error_information': {'exception_type': 'The really bad kind'} } self._consumer.call(input_data, None, None) self._redis.set.assert_called_with('jobs:my really massive net:error_information', '{"exception_type": "The really bad kind"}') def test_call_saved_json_job_error_data_different_error_data(self): input_data = {'job_id': 'my really massive net', 'error_information': {'trace': 'A really long trace'} } self._consumer.call(input_data, None, None) self._redis.set.assert_called_with('jobs:my really massive net:error_information', '{"trace": "A really long trace"}') def test_call_saved_json_job_error_data_different_serializer(self): import yaml self._serializer.dumps.side_effect = lambda value: yaml.dump( value, default_flow_style=False) input_data = {'job_id': 'my really big net', 'error_information': {'exception_type': 'The really bad kind'} } self._consumer.call(input_data, None, None) self._redis.set.assert_called_with('jobs:my really big net:error_information', 'exception_type: The really bad kind\n')

42.196078

135

0.658457

271

2,152

4.911439

0.221402

0.054095

0.1142

0.126221

0.767844

0.724267

0.706987

0.659654

0

0.237454

2,152

50

136

43.04

0.811091

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0

0.283589

0.039052

0

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1

0.135135

false

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0.135135

0

0.297297

0

null

0

1

0

null

0

5

d63f669eb70401fded7bf7353874b3554bf290d2

126,093

py

Python

nova/virt/vmwareapi/vm_util.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/virt/vmwareapi/vm_util.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/virt/vmwareapi/vm_util.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

begin_unit comment|'# Copyright (c) 2013 Hewlett-Packard Development Company, L.P.' nl|'\n' comment|'# Copyright (c) 2012 VMware, Inc.' nl|'\n' comment|'# Copyright (c) 2011 Citrix Systems, Inc.' nl|'\n' comment|'# Copyright 2011 OpenStack Foundation' nl|'\n' comment|'#' nl|'\n' comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\n' comment|'# a copy of the License at' nl|'\n' comment|'#' nl|'\n' comment|'# http://www.apache.org/licenses/LICENSE-2.0' nl|'\n' comment|'#' nl|'\n' comment|'# Unless required by applicable law or agreed to in writing, software' nl|'\n' comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT' nl|'\n' comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the' nl|'\n' comment|'# License for the specific language governing permissions and limitations' nl|'\n' comment|'# under the License.' nl|'\n' string|'"""\nThe VMware API VM utility module to build SOAP object specs.\n"""' newline|'\n' nl|'\n' name|'import' name|'collections' newline|'\n' name|'import' name|'copy' newline|'\n' name|'import' name|'functools' newline|'\n' nl|'\n' name|'from' name|'oslo_log' name|'import' name|'log' name|'as' name|'logging' newline|'\n' name|'from' name|'oslo_utils' name|'import' name|'excutils' newline|'\n' name|'from' name|'oslo_utils' name|'import' name|'units' newline|'\n' name|'from' name|'oslo_vmware' name|'import' name|'exceptions' name|'as' name|'vexc' newline|'\n' name|'from' name|'oslo_vmware' op|'.' name|'objects' name|'import' name|'datastore' name|'as' name|'ds_obj' newline|'\n' name|'from' name|'oslo_vmware' name|'import' name|'pbm' newline|'\n' name|'from' name|'oslo_vmware' name|'import' name|'vim_util' name|'as' name|'vutil' newline|'\n' name|'import' name|'six' newline|'\n' nl|'\n' name|'import' name|'nova' op|'.' name|'conf' newline|'\n' name|'from' name|'nova' name|'import' name|'exception' newline|'\n' name|'from' name|'nova' op|'.' name|'i18n' name|'import' name|'_' op|',' name|'_LE' op|',' name|'_LI' op|',' name|'_LW' newline|'\n' name|'from' name|'nova' op|'.' name|'network' name|'import' name|'model' name|'as' name|'network_model' newline|'\n' name|'from' name|'nova' op|'.' name|'virt' op|'.' name|'vmwareapi' name|'import' name|'constants' newline|'\n' name|'from' name|'nova' op|'.' name|'virt' op|'.' name|'vmwareapi' name|'import' name|'vim_util' newline|'\n' nl|'\n' DECL|variable|LOG name|'LOG' op|'=' name|'logging' op|'.' name|'getLogger' op|'(' name|'__name__' op|')' newline|'\n' nl|'\n' DECL|variable|CONF name|'CONF' op|'=' name|'nova' op|'.' name|'conf' op|'.' name|'CONF' newline|'\n' nl|'\n' DECL|variable|ALL_SUPPORTED_NETWORK_DEVICES name|'ALL_SUPPORTED_NETWORK_DEVICES' op|'=' op|'[' string|"'VirtualE1000'" op|',' string|"'VirtualE1000e'" op|',' nl|'\n' string|"'VirtualPCNet32'" op|',' string|"'VirtualSriovEthernetCard'" op|',' nl|'\n' string|"'VirtualVmxnet'" op|',' string|"'VirtualVmxnet3'" op|']' newline|'\n' nl|'\n' comment|'# A simple cache for storing inventory folder references.' nl|'\n' comment|'# Format: {inventory_path: folder_ref}' nl|'\n' DECL|variable|_FOLDER_PATH_REF_MAPPING name|'_FOLDER_PATH_REF_MAPPING' op|'=' op|'{' op|'}' newline|'\n' nl|'\n' comment|'# A cache for VM references. The key will be the VM name' nl|'\n' comment|'# and the value is the VM reference. The VM name is unique. This' nl|'\n' comment|'# is either the UUID of the instance or UUID-rescue in the case' nl|'\n' comment|'# that this is a rescue VM. This is in order to prevent' nl|'\n' comment|'# unnecessary communication with the backend.' nl|'\n' DECL|variable|_VM_REFS_CACHE name|'_VM_REFS_CACHE' op|'=' op|'{' op|'}' newline|'\n' nl|'\n' nl|'\n' DECL|class|Limits name|'class' name|'Limits' op|'(' name|'object' op|')' op|':' newline|'\n' nl|'\n' DECL|member|__init__ indent|' ' name|'def' name|'__init__' op|'(' name|'self' op|',' name|'limit' op|'=' name|'None' op|',' name|'reservation' op|'=' name|'None' op|',' nl|'\n' name|'shares_level' op|'=' name|'None' op|',' name|'shares_share' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""imits object holds instance limits for convenience."""' newline|'\n' name|'self' op|'.' name|'limit' op|'=' name|'limit' newline|'\n' name|'self' op|'.' name|'reservation' op|'=' name|'reservation' newline|'\n' name|'self' op|'.' name|'shares_level' op|'=' name|'shares_level' newline|'\n' name|'self' op|'.' name|'shares_share' op|'=' name|'shares_share' newline|'\n' nl|'\n' DECL|member|validate dedent|'' name|'def' name|'validate' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'self' op|'.' name|'shares_level' name|'in' op|'(' string|"'high'" op|',' string|"'normal'" op|',' string|"'low'" op|')' op|':' newline|'\n' indent|' ' name|'if' name|'self' op|'.' name|'shares_share' op|':' newline|'\n' indent|' ' name|'reason' op|'=' name|'_' op|'(' string|'"Share level \'%s\' cannot have share "' nl|'\n' string|'"configured"' op|')' op|'%' name|'self' op|'.' name|'shares_level' newline|'\n' name|'raise' name|'exception' op|'.' name|'InvalidInput' op|'(' name|'reason' op|'=' name|'reason' op|')' newline|'\n' dedent|'' name|'return' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'shares_level' op|'==' string|"'custom'" op|':' newline|'\n' indent|' ' name|'return' newline|'\n' dedent|'' name|'if' name|'self' op|'.' name|'shares_level' op|':' newline|'\n' indent|' ' name|'reason' op|'=' name|'_' op|'(' string|'"Share \'%s\' is not supported"' op|')' op|'%' name|'self' op|'.' name|'shares_level' newline|'\n' name|'raise' name|'exception' op|'.' name|'InvalidInput' op|'(' name|'reason' op|'=' name|'reason' op|')' newline|'\n' nl|'\n' DECL|member|has_limits dedent|'' dedent|'' name|'def' name|'has_limits' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'bool' op|'(' name|'self' op|'.' name|'limit' name|'or' nl|'\n' name|'self' op|'.' name|'reservation' name|'or' nl|'\n' name|'self' op|'.' name|'shares_level' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|class|ExtraSpecs dedent|'' dedent|'' name|'class' name|'ExtraSpecs' op|'(' name|'object' op|')' op|':' newline|'\n' nl|'\n' DECL|member|__init__ indent|' ' name|'def' name|'__init__' op|'(' name|'self' op|',' name|'cpu_limits' op|'=' name|'None' op|',' name|'hw_version' op|'=' name|'None' op|',' nl|'\n' name|'storage_policy' op|'=' name|'None' op|',' name|'cores_per_socket' op|'=' name|'None' op|',' nl|'\n' name|'memory_limits' op|'=' name|'None' op|',' name|'disk_io_limits' op|'=' name|'None' op|',' nl|'\n' name|'vif_limits' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""ExtraSpecs object holds extra_specs for the instance."""' newline|'\n' name|'self' op|'.' name|'cpu_limits' op|'=' name|'cpu_limits' name|'or' name|'Limits' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'memory_limits' op|'=' name|'memory_limits' name|'or' name|'Limits' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'disk_io_limits' op|'=' name|'disk_io_limits' name|'or' name|'Limits' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'vif_limits' op|'=' name|'vif_limits' name|'or' name|'Limits' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'hw_version' op|'=' name|'hw_version' newline|'\n' name|'self' op|'.' name|'storage_policy' op|'=' name|'storage_policy' newline|'\n' name|'self' op|'.' name|'cores_per_socket' op|'=' name|'cores_per_socket' newline|'\n' nl|'\n' nl|'\n' DECL|function|vm_refs_cache_reset dedent|'' dedent|'' name|'def' name|'vm_refs_cache_reset' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'global' name|'_VM_REFS_CACHE' newline|'\n' name|'_VM_REFS_CACHE' op|'=' op|'{' op|'}' newline|'\n' nl|'\n' nl|'\n' DECL|function|vm_ref_cache_delete dedent|'' name|'def' name|'vm_ref_cache_delete' op|'(' name|'id' op|')' op|':' newline|'\n' indent|' ' name|'_VM_REFS_CACHE' op|'.' name|'pop' op|'(' name|'id' op|',' name|'None' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|vm_ref_cache_update dedent|'' name|'def' name|'vm_ref_cache_update' op|'(' name|'id' op|',' name|'vm_ref' op|')' op|':' newline|'\n' indent|' ' name|'_VM_REFS_CACHE' op|'[' name|'id' op|']' op|'=' name|'vm_ref' newline|'\n' nl|'\n' nl|'\n' DECL|function|vm_ref_cache_get dedent|'' name|'def' name|'vm_ref_cache_get' op|'(' name|'id' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'_VM_REFS_CACHE' op|'.' name|'get' op|'(' name|'id' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_vm_ref_cache dedent|'' name|'def' name|'_vm_ref_cache' op|'(' name|'id' op|',' name|'func' op|',' name|'session' op|',' name|'data' op|')' op|':' newline|'\n' indent|' ' name|'vm_ref' op|'=' name|'vm_ref_cache_get' op|'(' name|'id' op|')' newline|'\n' name|'if' name|'not' name|'vm_ref' op|':' newline|'\n' indent|' ' name|'vm_ref' op|'=' name|'func' op|'(' name|'session' op|',' name|'data' op|')' newline|'\n' name|'vm_ref_cache_update' op|'(' name|'id' op|',' name|'vm_ref' op|')' newline|'\n' dedent|'' name|'return' name|'vm_ref' newline|'\n' nl|'\n' nl|'\n' DECL|function|vm_ref_cache_from_instance dedent|'' name|'def' name|'vm_ref_cache_from_instance' op|'(' name|'func' op|')' op|':' newline|'\n' indent|' ' op|'@' name|'functools' op|'.' name|'wraps' op|'(' name|'func' op|')' newline|'\n' DECL|function|wrapper name|'def' name|'wrapper' op|'(' name|'session' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' name|'id' op|'=' name|'instance' op|'.' name|'uuid' newline|'\n' name|'return' name|'_vm_ref_cache' op|'(' name|'id' op|',' name|'func' op|',' name|'session' op|',' name|'instance' op|')' newline|'\n' dedent|'' name|'return' name|'wrapper' newline|'\n' nl|'\n' nl|'\n' DECL|function|vm_ref_cache_from_name dedent|'' name|'def' name|'vm_ref_cache_from_name' op|'(' name|'func' op|')' op|':' newline|'\n' indent|' ' op|'@' name|'functools' op|'.' name|'wraps' op|'(' name|'func' op|')' newline|'\n' DECL|function|wrapper name|'def' name|'wrapper' op|'(' name|'session' op|',' name|'name' op|')' op|':' newline|'\n' indent|' ' name|'id' op|'=' name|'name' newline|'\n' name|'return' name|'_vm_ref_cache' op|'(' name|'id' op|',' name|'func' op|',' name|'session' op|',' name|'name' op|')' newline|'\n' dedent|'' name|'return' name|'wrapper' newline|'\n' nl|'\n' comment|'# the config key which stores the VNC port' nl|'\n' DECL|variable|VNC_CONFIG_KEY dedent|'' name|'VNC_CONFIG_KEY' op|'=' string|'\'config.extraConfig["RemoteDisplay.vnc.port"]\'' newline|'\n' nl|'\n' DECL|variable|VmdkInfo name|'VmdkInfo' op|'=' name|'collections' op|'.' name|'namedtuple' op|'(' string|"'VmdkInfo'" op|',' op|'[' string|"'path'" op|',' string|"'adapter_type'" op|',' nl|'\n' string|"'disk_type'" op|',' nl|'\n' string|"'capacity_in_bytes'" op|',' nl|'\n' string|"'device'" op|']' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_iface_id_option_value name|'def' name|'_iface_id_option_value' op|'(' name|'client_factory' op|',' name|'iface_id' op|',' name|'port_index' op|')' op|':' newline|'\n' indent|' ' name|'opt' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt' op|'.' name|'key' op|'=' string|'"nvp.iface-id.%d"' op|'%' name|'port_index' newline|'\n' name|'opt' op|'.' name|'value' op|'=' name|'iface_id' newline|'\n' name|'return' name|'opt' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_allocation_info dedent|'' name|'def' name|'_get_allocation_info' op|'(' name|'client_factory' op|',' name|'limits' op|',' name|'allocation_type' op|')' op|':' newline|'\n' indent|' ' name|'allocation' op|'=' name|'client_factory' op|'.' name|'create' op|'(' name|'allocation_type' op|')' newline|'\n' name|'if' name|'limits' op|'.' name|'limit' op|':' newline|'\n' indent|' ' name|'allocation' op|'.' name|'limit' op|'=' name|'limits' op|'.' name|'limit' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' comment|"# Set as 'umlimited'" nl|'\n' indent|' ' name|'allocation' op|'.' name|'limit' op|'=' op|'-' number|'1' newline|'\n' dedent|'' name|'if' name|'limits' op|'.' name|'reservation' op|':' newline|'\n' indent|' ' name|'allocation' op|'.' name|'reservation' op|'=' name|'limits' op|'.' name|'reservation' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'allocation' op|'.' name|'reservation' op|'=' number|'0' newline|'\n' dedent|'' name|'shares' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:SharesInfo'" op|')' newline|'\n' name|'if' name|'limits' op|'.' name|'shares_level' op|':' newline|'\n' indent|' ' name|'shares' op|'.' name|'level' op|'=' name|'limits' op|'.' name|'shares_level' newline|'\n' name|'if' op|'(' name|'shares' op|'.' name|'level' op|'==' string|"'custom'" name|'and' nl|'\n' name|'limits' op|'.' name|'shares_share' op|')' op|':' newline|'\n' indent|' ' name|'shares' op|'.' name|'shares' op|'=' name|'limits' op|'.' name|'shares_share' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'shares' op|'.' name|'shares' op|'=' number|'0' newline|'\n' dedent|'' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'shares' op|'.' name|'level' op|'=' string|"'normal'" newline|'\n' name|'shares' op|'.' name|'shares' op|'=' number|'0' newline|'\n' comment|"# The VirtualEthernetCardResourceAllocation has 'share' instead of" nl|'\n' comment|"# 'shares'." nl|'\n' dedent|'' name|'if' name|'hasattr' op|'(' name|'allocation' op|',' string|"'share'" op|')' op|':' newline|'\n' indent|' ' name|'allocation' op|'.' name|'share' op|'=' name|'shares' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'allocation' op|'.' name|'shares' op|'=' name|'shares' newline|'\n' dedent|'' name|'return' name|'allocation' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vm_create_spec dedent|'' name|'def' name|'get_vm_create_spec' op|'(' name|'client_factory' op|',' name|'instance' op|',' name|'data_store_name' op|',' nl|'\n' name|'vif_infos' op|',' name|'extra_specs' op|',' nl|'\n' name|'os_type' op|'=' name|'constants' op|'.' name|'DEFAULT_OS_TYPE' op|',' nl|'\n' name|'profile_spec' op|'=' name|'None' op|',' name|'metadata' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the VM Create spec."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' name|'config_spec' op|'.' name|'name' op|'=' name|'instance' op|'.' name|'uuid' newline|'\n' name|'config_spec' op|'.' name|'guestId' op|'=' name|'os_type' newline|'\n' comment|'# The name is the unique identifier for the VM.' nl|'\n' name|'config_spec' op|'.' name|'instanceUuid' op|'=' name|'instance' op|'.' name|'uuid' newline|'\n' name|'if' name|'metadata' op|':' newline|'\n' indent|' ' name|'config_spec' op|'.' name|'annotation' op|'=' name|'metadata' newline|'\n' comment|'# set the Hardware version' nl|'\n' dedent|'' name|'config_spec' op|'.' name|'version' op|'=' name|'extra_specs' op|'.' name|'hw_version' newline|'\n' nl|'\n' comment|'# Allow nested hypervisor instances to host 64 bit VMs.' nl|'\n' name|'if' name|'os_type' name|'in' op|'(' string|'"vmkernel5Guest"' op|',' string|'"vmkernel6Guest"' op|',' string|'"windowsHyperVGuest"' op|')' op|':' newline|'\n' indent|' ' name|'config_spec' op|'.' name|'nestedHVEnabled' op|'=' string|'"True"' newline|'\n' nl|'\n' comment|'# Append the profile spec' nl|'\n' dedent|'' name|'if' name|'profile_spec' op|':' newline|'\n' indent|' ' name|'config_spec' op|'.' name|'vmProfile' op|'=' op|'[' name|'profile_spec' op|']' newline|'\n' nl|'\n' dedent|'' name|'vm_file_info' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineFileInfo'" op|')' newline|'\n' name|'vm_file_info' op|'.' name|'vmPathName' op|'=' string|'"["' op|'+' name|'data_store_name' op|'+' string|'"]"' newline|'\n' name|'config_spec' op|'.' name|'files' op|'=' name|'vm_file_info' newline|'\n' nl|'\n' name|'tools_info' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:ToolsConfigInfo'" op|')' newline|'\n' name|'tools_info' op|'.' name|'afterPowerOn' op|'=' name|'True' newline|'\n' name|'tools_info' op|'.' name|'afterResume' op|'=' name|'True' newline|'\n' name|'tools_info' op|'.' name|'beforeGuestStandby' op|'=' name|'True' newline|'\n' name|'tools_info' op|'.' name|'beforeGuestShutdown' op|'=' name|'True' newline|'\n' name|'tools_info' op|'.' name|'beforeGuestReboot' op|'=' name|'True' newline|'\n' nl|'\n' name|'config_spec' op|'.' name|'tools' op|'=' name|'tools_info' newline|'\n' name|'config_spec' op|'.' name|'numCPUs' op|'=' name|'int' op|'(' name|'instance' op|'.' name|'vcpus' op|')' newline|'\n' name|'if' name|'extra_specs' op|'.' name|'cores_per_socket' op|':' newline|'\n' indent|' ' name|'config_spec' op|'.' name|'numCoresPerSocket' op|'=' name|'int' op|'(' name|'extra_specs' op|'.' name|'cores_per_socket' op|')' newline|'\n' dedent|'' name|'config_spec' op|'.' name|'memoryMB' op|'=' name|'int' op|'(' name|'instance' op|'.' name|'memory_mb' op|')' newline|'\n' nl|'\n' comment|'# Configure cpu information' nl|'\n' name|'if' name|'extra_specs' op|'.' name|'cpu_limits' op|'.' name|'has_limits' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'config_spec' op|'.' name|'cpuAllocation' op|'=' name|'_get_allocation_info' op|'(' nl|'\n' name|'client_factory' op|',' name|'extra_specs' op|'.' name|'cpu_limits' op|',' nl|'\n' string|"'ns0:ResourceAllocationInfo'" op|')' newline|'\n' nl|'\n' comment|'# Configure memory information' nl|'\n' dedent|'' name|'if' name|'extra_specs' op|'.' name|'memory_limits' op|'.' name|'has_limits' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'config_spec' op|'.' name|'memoryAllocation' op|'=' name|'_get_allocation_info' op|'(' nl|'\n' name|'client_factory' op|',' name|'extra_specs' op|'.' name|'memory_limits' op|',' nl|'\n' string|"'ns0:ResourceAllocationInfo'" op|')' newline|'\n' nl|'\n' dedent|'' name|'devices' op|'=' op|'[' op|']' newline|'\n' name|'for' name|'vif_info' name|'in' name|'vif_infos' op|':' newline|'\n' indent|' ' name|'vif_spec' op|'=' name|'_create_vif_spec' op|'(' name|'client_factory' op|',' name|'vif_info' op|',' nl|'\n' name|'extra_specs' op|'.' name|'vif_limits' op|')' newline|'\n' name|'devices' op|'.' name|'append' op|'(' name|'vif_spec' op|')' newline|'\n' nl|'\n' dedent|'' name|'serial_port_spec' op|'=' name|'create_serial_port_spec' op|'(' name|'client_factory' op|')' newline|'\n' name|'if' name|'serial_port_spec' op|':' newline|'\n' indent|' ' name|'devices' op|'.' name|'append' op|'(' name|'serial_port_spec' op|')' newline|'\n' nl|'\n' dedent|'' name|'config_spec' op|'.' name|'deviceChange' op|'=' name|'devices' newline|'\n' nl|'\n' comment|'# add vm-uuid and iface-id.x values for Neutron' nl|'\n' name|'extra_config' op|'=' op|'[' op|']' newline|'\n' name|'opt' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt' op|'.' name|'key' op|'=' string|'"nvp.vm-uuid"' newline|'\n' name|'opt' op|'.' name|'value' op|'=' name|'instance' op|'.' name|'uuid' newline|'\n' name|'extra_config' op|'.' name|'append' op|'(' name|'opt' op|')' newline|'\n' nl|'\n' name|'port_index' op|'=' number|'0' newline|'\n' name|'for' name|'vif_info' name|'in' name|'vif_infos' op|':' newline|'\n' indent|' ' name|'if' name|'vif_info' op|'[' string|"'iface_id'" op|']' op|':' newline|'\n' indent|' ' name|'extra_config' op|'.' name|'append' op|'(' name|'_iface_id_option_value' op|'(' name|'client_factory' op|',' nl|'\n' name|'vif_info' op|'[' string|"'iface_id'" op|']' op|',' nl|'\n' name|'port_index' op|')' op|')' newline|'\n' name|'port_index' op|'+=' number|'1' newline|'\n' nl|'\n' dedent|'' dedent|'' name|'if' op|'(' name|'CONF' op|'.' name|'vmware' op|'.' name|'console_delay_seconds' name|'and' nl|'\n' name|'CONF' op|'.' name|'vmware' op|'.' name|'console_delay_seconds' op|'>' number|'0' op|')' op|':' newline|'\n' indent|' ' name|'opt' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt' op|'.' name|'key' op|'=' string|"'keyboard.typematicMinDelay'" newline|'\n' name|'opt' op|'.' name|'value' op|'=' name|'CONF' op|'.' name|'vmware' op|'.' name|'console_delay_seconds' op|'*' number|'1000000' newline|'\n' name|'extra_config' op|'.' name|'append' op|'(' name|'opt' op|')' newline|'\n' nl|'\n' dedent|'' name|'config_spec' op|'.' name|'extraConfig' op|'=' name|'extra_config' newline|'\n' nl|'\n' comment|"# Set the VM to be 'managed' by 'OpenStack'" nl|'\n' name|'managed_by' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:ManagedByInfo'" op|')' newline|'\n' name|'managed_by' op|'.' name|'extensionKey' op|'=' name|'constants' op|'.' name|'EXTENSION_KEY' newline|'\n' name|'managed_by' op|'.' name|'type' op|'=' name|'constants' op|'.' name|'EXTENSION_TYPE_INSTANCE' newline|'\n' name|'config_spec' op|'.' name|'managedBy' op|'=' name|'managed_by' newline|'\n' nl|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|create_serial_port_spec dedent|'' name|'def' name|'create_serial_port_spec' op|'(' name|'client_factory' op|')' op|':' newline|'\n' indent|' ' string|'"""Creates config spec for serial port."""' newline|'\n' name|'if' name|'not' name|'CONF' op|'.' name|'vmware' op|'.' name|'serial_port_service_uri' op|':' newline|'\n' indent|' ' name|'return' newline|'\n' nl|'\n' dedent|'' name|'backing' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualSerialPortURIBackingInfo'" op|')' newline|'\n' name|'backing' op|'.' name|'direction' op|'=' string|'"server"' newline|'\n' name|'backing' op|'.' name|'serviceURI' op|'=' name|'CONF' op|'.' name|'vmware' op|'.' name|'serial_port_service_uri' newline|'\n' name|'backing' op|'.' name|'proxyURI' op|'=' name|'CONF' op|'.' name|'vmware' op|'.' name|'serial_port_proxy_uri' newline|'\n' nl|'\n' name|'connectable_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualDeviceConnectInfo'" op|')' newline|'\n' name|'connectable_spec' op|'.' name|'startConnected' op|'=' name|'True' newline|'\n' name|'connectable_spec' op|'.' name|'allowGuestControl' op|'=' name|'True' newline|'\n' name|'connectable_spec' op|'.' name|'connected' op|'=' name|'True' newline|'\n' nl|'\n' name|'serial_port' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualSerialPort'" op|')' newline|'\n' name|'serial_port' op|'.' name|'connectable' op|'=' name|'connectable_spec' newline|'\n' name|'serial_port' op|'.' name|'backing' op|'=' name|'backing' newline|'\n' comment|'# we are using unique negative integers as temporary keys' nl|'\n' name|'serial_port' op|'.' name|'key' op|'=' op|'-' number|'2' newline|'\n' name|'serial_port' op|'.' name|'yieldOnPoll' op|'=' name|'True' newline|'\n' name|'dev_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'dev_spec' op|'.' name|'operation' op|'=' string|'"add"' newline|'\n' name|'dev_spec' op|'.' name|'device' op|'=' name|'serial_port' newline|'\n' name|'return' name|'dev_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vm_boot_spec dedent|'' name|'def' name|'get_vm_boot_spec' op|'(' name|'client_factory' op|',' name|'device' op|')' op|':' newline|'\n' indent|' ' string|'"""Returns updated boot settings for the instance.\n\n The boot order for the instance will be changed to have the\n input device as the boot disk.\n """' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' name|'boot_disk' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualMachineBootOptionsBootableDiskDevice'" op|')' newline|'\n' name|'boot_disk' op|'.' name|'deviceKey' op|'=' name|'device' op|'.' name|'key' newline|'\n' name|'boot_options' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineBootOptions'" op|')' newline|'\n' name|'boot_options' op|'.' name|'bootOrder' op|'=' op|'[' name|'boot_disk' op|']' newline|'\n' name|'config_spec' op|'.' name|'bootOptions' op|'=' name|'boot_options' newline|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vm_resize_spec dedent|'' name|'def' name|'get_vm_resize_spec' op|'(' name|'client_factory' op|',' name|'vcpus' op|',' name|'memory_mb' op|',' name|'extra_specs' op|',' nl|'\n' name|'metadata' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Provides updates for a VM spec."""' newline|'\n' name|'resize_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' name|'resize_spec' op|'.' name|'numCPUs' op|'=' name|'vcpus' newline|'\n' name|'resize_spec' op|'.' name|'memoryMB' op|'=' name|'memory_mb' newline|'\n' name|'resize_spec' op|'.' name|'cpuAllocation' op|'=' name|'_get_allocation_info' op|'(' nl|'\n' name|'client_factory' op|',' name|'extra_specs' op|'.' name|'cpu_limits' op|',' nl|'\n' string|"'ns0:ResourceAllocationInfo'" op|')' newline|'\n' name|'if' name|'metadata' op|':' newline|'\n' indent|' ' name|'resize_spec' op|'.' name|'annotation' op|'=' name|'metadata' newline|'\n' dedent|'' name|'return' name|'resize_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|create_controller_spec dedent|'' name|'def' name|'create_controller_spec' op|'(' name|'client_factory' op|',' name|'key' op|',' nl|'\n' name|'adapter_type' op|'=' name|'constants' op|'.' name|'DEFAULT_ADAPTER_TYPE' op|',' nl|'\n' name|'bus_number' op|'=' number|'0' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds a Config Spec for the LSI or Bus Logic Controller\'s addition\n which acts as the controller for the virtual hard disk to be attached\n to the VM.\n """' newline|'\n' comment|'# Create a controller for the Virtual Hard Disk' nl|'\n' name|'virtual_device_config' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'virtual_device_config' op|'.' name|'operation' op|'=' string|'"add"' newline|'\n' name|'if' name|'adapter_type' op|'==' name|'constants' op|'.' name|'ADAPTER_TYPE_BUSLOGIC' op|':' newline|'\n' indent|' ' name|'virtual_controller' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualBusLogicController'" op|')' newline|'\n' dedent|'' name|'elif' name|'adapter_type' op|'==' name|'constants' op|'.' name|'ADAPTER_TYPE_LSILOGICSAS' op|':' newline|'\n' indent|' ' name|'virtual_controller' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualLsiLogicSASController'" op|')' newline|'\n' dedent|'' name|'elif' name|'adapter_type' op|'==' name|'constants' op|'.' name|'ADAPTER_TYPE_PARAVIRTUAL' op|':' newline|'\n' indent|' ' name|'virtual_controller' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:ParaVirtualSCSIController'" op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'virtual_controller' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualLsiLogicController'" op|')' newline|'\n' dedent|'' name|'virtual_controller' op|'.' name|'key' op|'=' name|'key' newline|'\n' name|'virtual_controller' op|'.' name|'busNumber' op|'=' name|'bus_number' newline|'\n' name|'virtual_controller' op|'.' name|'sharedBus' op|'=' string|'"noSharing"' newline|'\n' name|'virtual_device_config' op|'.' name|'device' op|'=' name|'virtual_controller' newline|'\n' name|'return' name|'virtual_device_config' newline|'\n' nl|'\n' nl|'\n' DECL|function|convert_vif_model dedent|'' name|'def' name|'convert_vif_model' op|'(' name|'name' op|')' op|':' newline|'\n' indent|' ' string|'"""Converts standard VIF_MODEL types to the internal VMware ones."""' newline|'\n' name|'if' name|'name' op|'==' name|'network_model' op|'.' name|'VIF_MODEL_E1000' op|':' newline|'\n' indent|' ' name|'return' string|"'VirtualE1000'" newline|'\n' dedent|'' name|'if' name|'name' op|'==' name|'network_model' op|'.' name|'VIF_MODEL_E1000E' op|':' newline|'\n' indent|' ' name|'return' string|"'VirtualE1000e'" newline|'\n' dedent|'' name|'if' name|'name' op|'==' name|'network_model' op|'.' name|'VIF_MODEL_PCNET' op|':' newline|'\n' indent|' ' name|'return' string|"'VirtualPCNet32'" newline|'\n' dedent|'' name|'if' name|'name' op|'==' name|'network_model' op|'.' name|'VIF_MODEL_SRIOV' op|':' newline|'\n' indent|' ' name|'return' string|"'VirtualSriovEthernetCard'" newline|'\n' dedent|'' name|'if' name|'name' op|'==' name|'network_model' op|'.' name|'VIF_MODEL_VMXNET' op|':' newline|'\n' indent|' ' name|'return' string|"'VirtualVmxnet'" newline|'\n' dedent|'' name|'if' name|'name' op|'==' name|'network_model' op|'.' name|'VIF_MODEL_VMXNET3' op|':' newline|'\n' indent|' ' name|'return' string|"'VirtualVmxnet3'" newline|'\n' dedent|'' name|'if' name|'name' name|'not' name|'in' name|'ALL_SUPPORTED_NETWORK_DEVICES' op|':' newline|'\n' indent|' ' name|'msg' op|'=' name|'_' op|'(' string|"'%s is not supported.'" op|')' op|'%' name|'name' newline|'\n' name|'raise' name|'exception' op|'.' name|'Invalid' op|'(' name|'msg' op|')' newline|'\n' dedent|'' name|'return' name|'name' newline|'\n' nl|'\n' nl|'\n' DECL|function|_create_vif_spec dedent|'' name|'def' name|'_create_vif_spec' op|'(' name|'client_factory' op|',' name|'vif_info' op|',' name|'vif_limits' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds a config spec for the addition of a new network\n adapter to the VM.\n """' newline|'\n' name|'network_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'network_spec' op|'.' name|'operation' op|'=' string|'"add"' newline|'\n' nl|'\n' comment|'# Keep compatible with other Hyper vif model parameter.' nl|'\n' name|'vif_info' op|'[' string|"'vif_model'" op|']' op|'=' name|'convert_vif_model' op|'(' name|'vif_info' op|'[' string|"'vif_model'" op|']' op|')' newline|'\n' nl|'\n' name|'vif' op|'=' string|"'ns0:'" op|'+' name|'vif_info' op|'[' string|"'vif_model'" op|']' newline|'\n' name|'net_device' op|'=' name|'client_factory' op|'.' name|'create' op|'(' name|'vif' op|')' newline|'\n' nl|'\n' comment|'# NOTE(asomya): Only works on ESXi if the portgroup binding is set to' nl|'\n' comment|'# ephemeral. Invalid configuration if set to static and the NIC does' nl|'\n' comment|'# not come up on boot if set to dynamic.' nl|'\n' name|'network_ref' op|'=' name|'vif_info' op|'[' string|"'network_ref'" op|']' newline|'\n' name|'network_name' op|'=' name|'vif_info' op|'[' string|"'network_name'" op|']' newline|'\n' name|'mac_address' op|'=' name|'vif_info' op|'[' string|"'mac_address'" op|']' newline|'\n' name|'backing' op|'=' name|'None' newline|'\n' name|'if' name|'network_ref' name|'and' name|'network_ref' op|'[' string|"'type'" op|']' op|'==' string|"'OpaqueNetwork'" op|':' newline|'\n' indent|' ' name|'backing' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualEthernetCardOpaqueNetworkBackingInfo'" op|')' newline|'\n' name|'backing' op|'.' name|'opaqueNetworkId' op|'=' name|'network_ref' op|'[' string|"'network-id'" op|']' newline|'\n' name|'backing' op|'.' name|'opaqueNetworkType' op|'=' name|'network_ref' op|'[' string|"'network-type'" op|']' newline|'\n' comment|'# Configure externalId' nl|'\n' name|'if' name|'network_ref' op|'[' string|"'use-external-id'" op|']' op|':' newline|'\n' comment|'# externalId is only supported from vCenter 6.0 onwards' nl|'\n' indent|' ' name|'if' name|'hasattr' op|'(' name|'net_device' op|',' string|"'externalId'" op|')' op|':' newline|'\n' indent|' ' name|'net_device' op|'.' name|'externalId' op|'=' name|'vif_info' op|'[' string|"'iface_id'" op|']' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'dp' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:DynamicProperty'" op|')' newline|'\n' name|'dp' op|'.' name|'name' op|'=' string|'"__externalId__"' newline|'\n' name|'dp' op|'.' name|'val' op|'=' name|'vif_info' op|'[' string|"'iface_id'" op|']' newline|'\n' name|'net_device' op|'.' name|'dynamicProperty' op|'=' op|'[' name|'dp' op|']' newline|'\n' dedent|'' dedent|'' dedent|'' name|'elif' op|'(' name|'network_ref' name|'and' nl|'\n' name|'network_ref' op|'[' string|"'type'" op|']' op|'==' string|'"DistributedVirtualPortgroup"' op|')' op|':' newline|'\n' indent|' ' name|'backing' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualEthernetCardDistributedVirtualPortBackingInfo'" op|')' newline|'\n' name|'portgroup' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:DistributedVirtualSwitchPortConnection'" op|')' newline|'\n' name|'portgroup' op|'.' name|'switchUuid' op|'=' name|'network_ref' op|'[' string|"'dvsw'" op|']' newline|'\n' name|'portgroup' op|'.' name|'portgroupKey' op|'=' name|'network_ref' op|'[' string|"'dvpg'" op|']' newline|'\n' name|'if' string|"'dvs_port_key'" name|'in' name|'network_ref' op|':' newline|'\n' indent|' ' name|'portgroup' op|'.' name|'portKey' op|'=' name|'network_ref' op|'[' string|"'dvs_port_key'" op|']' newline|'\n' dedent|'' name|'backing' op|'.' name|'port' op|'=' name|'portgroup' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'backing' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualEthernetCardNetworkBackingInfo'" op|')' newline|'\n' name|'backing' op|'.' name|'deviceName' op|'=' name|'network_name' newline|'\n' nl|'\n' dedent|'' name|'connectable_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualDeviceConnectInfo'" op|')' newline|'\n' name|'connectable_spec' op|'.' name|'startConnected' op|'=' name|'True' newline|'\n' name|'connectable_spec' op|'.' name|'allowGuestControl' op|'=' name|'True' newline|'\n' name|'connectable_spec' op|'.' name|'connected' op|'=' name|'True' newline|'\n' nl|'\n' name|'net_device' op|'.' name|'connectable' op|'=' name|'connectable_spec' newline|'\n' name|'net_device' op|'.' name|'backing' op|'=' name|'backing' newline|'\n' nl|'\n' comment|'# The Server assigns a Key to the device. Here we pass a -ve temporary key.' nl|'\n' comment|"# -ve because actual keys are +ve numbers and we don't" nl|'\n' comment|'# want a clash with the key that server might associate with the device' nl|'\n' name|'net_device' op|'.' name|'key' op|'=' op|'-' number|'47' newline|'\n' name|'net_device' op|'.' name|'addressType' op|'=' string|'"manual"' newline|'\n' name|'net_device' op|'.' name|'macAddress' op|'=' name|'mac_address' newline|'\n' name|'net_device' op|'.' name|'wakeOnLanEnabled' op|'=' name|'True' newline|'\n' nl|'\n' comment|'# vnic limits are only supported from version 6.0' nl|'\n' name|'if' name|'vif_limits' name|'and' name|'vif_limits' op|'.' name|'has_limits' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'hasattr' op|'(' name|'net_device' op|',' string|"'resourceAllocation'" op|')' op|':' newline|'\n' indent|' ' name|'net_device' op|'.' name|'resourceAllocation' op|'=' name|'_get_allocation_info' op|'(' nl|'\n' name|'client_factory' op|',' name|'vif_limits' op|',' nl|'\n' string|"'ns0:VirtualEthernetCardResourceAllocation'" op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'msg' op|'=' name|'_' op|'(' string|"'Limits only supported from vCenter 6.0 and above'" op|')' newline|'\n' name|'raise' name|'exception' op|'.' name|'Invalid' op|'(' name|'msg' op|')' newline|'\n' nl|'\n' dedent|'' dedent|'' name|'network_spec' op|'.' name|'device' op|'=' name|'net_device' newline|'\n' name|'return' name|'network_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_network_attach_config_spec dedent|'' name|'def' name|'get_network_attach_config_spec' op|'(' name|'client_factory' op|',' name|'vif_info' op|',' name|'index' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the vif attach config spec."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' name|'vif_spec' op|'=' name|'_create_vif_spec' op|'(' name|'client_factory' op|',' name|'vif_info' op|')' newline|'\n' name|'config_spec' op|'.' name|'deviceChange' op|'=' op|'[' name|'vif_spec' op|']' newline|'\n' name|'if' name|'vif_info' op|'[' string|"'iface_id'" op|']' name|'is' name|'not' name|'None' op|':' newline|'\n' indent|' ' name|'config_spec' op|'.' name|'extraConfig' op|'=' op|'[' name|'_iface_id_option_value' op|'(' name|'client_factory' op|',' nl|'\n' name|'vif_info' op|'[' string|"'iface_id'" op|']' op|',' nl|'\n' name|'index' op|')' op|']' newline|'\n' dedent|'' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_network_detach_config_spec dedent|'' name|'def' name|'get_network_detach_config_spec' op|'(' name|'client_factory' op|',' name|'device' op|',' name|'port_index' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the vif detach config spec."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' name|'virtual_device_config' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'virtual_device_config' op|'.' name|'operation' op|'=' string|'"remove"' newline|'\n' name|'virtual_device_config' op|'.' name|'device' op|'=' name|'device' newline|'\n' name|'config_spec' op|'.' name|'deviceChange' op|'=' op|'[' name|'virtual_device_config' op|']' newline|'\n' comment|'# If a key is already present then it cannot be deleted, only updated.' nl|'\n' comment|'# This enables us to reuse this key if there is an additional' nl|'\n' comment|'# attachment. The keys need to be preserved. This is due to the fact' nl|'\n' comment|'# that there is logic on the ESX that does the network wiring' nl|'\n' comment|'# according to these values. If they are changed then this will' nl|'\n' comment|'# break networking to and from the interface.' nl|'\n' name|'config_spec' op|'.' name|'extraConfig' op|'=' op|'[' name|'_iface_id_option_value' op|'(' name|'client_factory' op|',' nl|'\n' string|"'free'" op|',' nl|'\n' name|'port_index' op|')' op|']' newline|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_storage_profile_spec dedent|'' name|'def' name|'get_storage_profile_spec' op|'(' name|'session' op|',' name|'storage_policy' op|')' op|':' newline|'\n' indent|' ' string|'"""Gets the vm profile spec configured for storage policy."""' newline|'\n' name|'profile_id' op|'=' name|'pbm' op|'.' name|'get_profile_id_by_name' op|'(' name|'session' op|',' name|'storage_policy' op|')' newline|'\n' name|'if' name|'profile_id' op|':' newline|'\n' indent|' ' name|'client_factory' op|'=' name|'session' op|'.' name|'vim' op|'.' name|'client' op|'.' name|'factory' newline|'\n' name|'storage_profile_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualMachineDefinedProfileSpec'" op|')' newline|'\n' name|'storage_profile_spec' op|'.' name|'profileId' op|'=' name|'profile_id' op|'.' name|'uniqueId' newline|'\n' name|'return' name|'storage_profile_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vmdk_attach_config_spec dedent|'' dedent|'' name|'def' name|'get_vmdk_attach_config_spec' op|'(' name|'client_factory' op|',' nl|'\n' name|'disk_type' op|'=' name|'constants' op|'.' name|'DEFAULT_DISK_TYPE' op|',' nl|'\n' name|'file_path' op|'=' name|'None' op|',' nl|'\n' name|'disk_size' op|'=' name|'None' op|',' nl|'\n' name|'linked_clone' op|'=' name|'False' op|',' nl|'\n' name|'controller_key' op|'=' name|'None' op|',' nl|'\n' name|'unit_number' op|'=' name|'None' op|',' nl|'\n' name|'device_name' op|'=' name|'None' op|',' nl|'\n' name|'disk_io_limits' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the vmdk attach config spec."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' nl|'\n' name|'device_config_spec' op|'=' op|'[' op|']' newline|'\n' name|'virtual_device_config_spec' op|'=' name|'_create_virtual_disk_spec' op|'(' name|'client_factory' op|',' nl|'\n' name|'controller_key' op|',' name|'disk_type' op|',' name|'file_path' op|',' nl|'\n' name|'disk_size' op|',' name|'linked_clone' op|',' nl|'\n' name|'unit_number' op|',' name|'device_name' op|',' name|'disk_io_limits' op|')' newline|'\n' nl|'\n' name|'device_config_spec' op|'.' name|'append' op|'(' name|'virtual_device_config_spec' op|')' newline|'\n' nl|'\n' name|'config_spec' op|'.' name|'deviceChange' op|'=' name|'device_config_spec' newline|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_cdrom_attach_config_spec dedent|'' name|'def' name|'get_cdrom_attach_config_spec' op|'(' name|'client_factory' op|',' nl|'\n' name|'datastore' op|',' nl|'\n' name|'file_path' op|',' nl|'\n' name|'controller_key' op|',' nl|'\n' name|'cdrom_unit_number' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds and returns the cdrom attach config spec."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' nl|'\n' name|'device_config_spec' op|'=' op|'[' op|']' newline|'\n' name|'virtual_device_config_spec' op|'=' name|'create_virtual_cdrom_spec' op|'(' name|'client_factory' op|',' nl|'\n' name|'datastore' op|',' nl|'\n' name|'controller_key' op|',' nl|'\n' name|'file_path' op|',' nl|'\n' name|'cdrom_unit_number' op|')' newline|'\n' nl|'\n' name|'device_config_spec' op|'.' name|'append' op|'(' name|'virtual_device_config_spec' op|')' newline|'\n' nl|'\n' name|'config_spec' op|'.' name|'deviceChange' op|'=' name|'device_config_spec' newline|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vmdk_detach_config_spec dedent|'' name|'def' name|'get_vmdk_detach_config_spec' op|'(' name|'client_factory' op|',' name|'device' op|',' nl|'\n' name|'destroy_disk' op|'=' name|'False' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the vmdk detach config spec."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' nl|'\n' name|'device_config_spec' op|'=' op|'[' op|']' newline|'\n' name|'virtual_device_config_spec' op|'=' name|'detach_virtual_disk_spec' op|'(' name|'client_factory' op|',' nl|'\n' name|'device' op|',' nl|'\n' name|'destroy_disk' op|')' newline|'\n' nl|'\n' name|'device_config_spec' op|'.' name|'append' op|'(' name|'virtual_device_config_spec' op|')' newline|'\n' nl|'\n' name|'config_spec' op|'.' name|'deviceChange' op|'=' name|'device_config_spec' newline|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vm_extra_config_spec dedent|'' name|'def' name|'get_vm_extra_config_spec' op|'(' name|'client_factory' op|',' name|'extra_opts' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds extra spec fields from a dictionary."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' comment|'# add the key value pairs' nl|'\n' name|'extra_config' op|'=' op|'[' op|']' newline|'\n' name|'for' name|'key' op|',' name|'value' name|'in' name|'six' op|'.' name|'iteritems' op|'(' name|'extra_opts' op|')' op|':' newline|'\n' indent|' ' name|'opt' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt' op|'.' name|'key' op|'=' name|'key' newline|'\n' name|'opt' op|'.' name|'value' op|'=' name|'value' newline|'\n' name|'extra_config' op|'.' name|'append' op|'(' name|'opt' op|')' newline|'\n' name|'config_spec' op|'.' name|'extraConfig' op|'=' name|'extra_config' newline|'\n' dedent|'' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_device_capacity dedent|'' name|'def' name|'_get_device_capacity' op|'(' name|'device' op|')' op|':' newline|'\n' comment|'# Devices pre-vSphere-5.5 only reports capacityInKB, which has' nl|'\n' comment|'# rounding inaccuracies. Use that only if the more accurate' nl|'\n' comment|'# attribute is absent.' nl|'\n' indent|' ' name|'if' name|'hasattr' op|'(' name|'device' op|',' string|"'capacityInBytes'" op|')' op|':' newline|'\n' indent|' ' name|'return' name|'device' op|'.' name|'capacityInBytes' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'return' name|'device' op|'.' name|'capacityInKB' op|'*' name|'units' op|'.' name|'Ki' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_device_disk_type dedent|'' dedent|'' name|'def' name|'_get_device_disk_type' op|'(' name|'device' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'getattr' op|'(' name|'device' op|'.' name|'backing' op|',' string|"'thinProvisioned'" op|',' name|'False' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'constants' op|'.' name|'DISK_TYPE_THIN' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'if' name|'getattr' op|'(' name|'device' op|'.' name|'backing' op|',' string|"'eagerlyScrub'" op|',' name|'False' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'constants' op|'.' name|'DISK_TYPE_EAGER_ZEROED_THICK' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'return' name|'constants' op|'.' name|'DEFAULT_DISK_TYPE' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vmdk_info dedent|'' dedent|'' dedent|'' name|'def' name|'get_vmdk_info' op|'(' name|'session' op|',' name|'vm_ref' op|',' name|'uuid' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Returns information for the primary VMDK attached to the given VM."""' newline|'\n' name|'hardware_devices' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' nl|'\n' string|'"get_object_property"' op|',' nl|'\n' name|'vm_ref' op|',' nl|'\n' string|'"config.hardware.device"' op|')' newline|'\n' name|'if' name|'hardware_devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'hardware_devices' op|'.' name|'VirtualDevice' newline|'\n' dedent|'' name|'vmdk_file_path' op|'=' name|'None' newline|'\n' name|'vmdk_controller_key' op|'=' name|'None' newline|'\n' name|'disk_type' op|'=' name|'None' newline|'\n' name|'capacity_in_bytes' op|'=' number|'0' newline|'\n' nl|'\n' comment|'# Determine if we need to get the details of the root disk' nl|'\n' name|'root_disk' op|'=' name|'None' newline|'\n' name|'root_device' op|'=' name|'None' newline|'\n' name|'if' name|'uuid' op|':' newline|'\n' indent|' ' name|'root_disk' op|'=' string|"'%s.vmdk'" op|'%' name|'uuid' newline|'\n' dedent|'' name|'vmdk_device' op|'=' name|'None' newline|'\n' nl|'\n' name|'adapter_type_dict' op|'=' op|'{' op|'}' newline|'\n' name|'for' name|'device' name|'in' name|'hardware_devices' op|':' newline|'\n' indent|' ' name|'if' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDisk"' op|':' newline|'\n' indent|' ' name|'if' name|'device' op|'.' name|'backing' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDiskFlatVer2BackingInfo"' op|':' newline|'\n' indent|' ' name|'path' op|'=' name|'ds_obj' op|'.' name|'DatastorePath' op|'.' name|'parse' op|'(' name|'device' op|'.' name|'backing' op|'.' name|'fileName' op|')' newline|'\n' name|'if' name|'root_disk' name|'and' name|'path' op|'.' name|'basename' op|'==' name|'root_disk' op|':' newline|'\n' indent|' ' name|'root_device' op|'=' name|'device' newline|'\n' dedent|'' name|'vmdk_device' op|'=' name|'device' newline|'\n' dedent|'' dedent|'' name|'elif' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualLsiLogicController"' op|':' newline|'\n' indent|' ' name|'adapter_type_dict' op|'[' name|'device' op|'.' name|'key' op|']' op|'=' name|'constants' op|'.' name|'DEFAULT_ADAPTER_TYPE' newline|'\n' dedent|'' name|'elif' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualBusLogicController"' op|':' newline|'\n' indent|' ' name|'adapter_type_dict' op|'[' name|'device' op|'.' name|'key' op|']' op|'=' name|'constants' op|'.' name|'ADAPTER_TYPE_BUSLOGIC' newline|'\n' dedent|'' name|'elif' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualIDEController"' op|':' newline|'\n' indent|' ' name|'adapter_type_dict' op|'[' name|'device' op|'.' name|'key' op|']' op|'=' name|'constants' op|'.' name|'ADAPTER_TYPE_IDE' newline|'\n' dedent|'' name|'elif' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualLsiLogicSASController"' op|':' newline|'\n' indent|' ' name|'adapter_type_dict' op|'[' name|'device' op|'.' name|'key' op|']' op|'=' name|'constants' op|'.' name|'ADAPTER_TYPE_LSILOGICSAS' newline|'\n' dedent|'' name|'elif' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ParaVirtualSCSIController"' op|':' newline|'\n' indent|' ' name|'adapter_type_dict' op|'[' name|'device' op|'.' name|'key' op|']' op|'=' name|'constants' op|'.' name|'ADAPTER_TYPE_PARAVIRTUAL' newline|'\n' nl|'\n' dedent|'' dedent|'' name|'if' name|'root_disk' op|':' newline|'\n' indent|' ' name|'vmdk_device' op|'=' name|'root_device' newline|'\n' nl|'\n' dedent|'' name|'if' name|'vmdk_device' op|':' newline|'\n' indent|' ' name|'vmdk_file_path' op|'=' name|'vmdk_device' op|'.' name|'backing' op|'.' name|'fileName' newline|'\n' name|'capacity_in_bytes' op|'=' name|'_get_device_capacity' op|'(' name|'vmdk_device' op|')' newline|'\n' name|'vmdk_controller_key' op|'=' name|'vmdk_device' op|'.' name|'controllerKey' newline|'\n' name|'disk_type' op|'=' name|'_get_device_disk_type' op|'(' name|'vmdk_device' op|')' newline|'\n' nl|'\n' dedent|'' name|'adapter_type' op|'=' name|'adapter_type_dict' op|'.' name|'get' op|'(' name|'vmdk_controller_key' op|')' newline|'\n' name|'return' name|'VmdkInfo' op|'(' name|'vmdk_file_path' op|',' name|'adapter_type' op|',' name|'disk_type' op|',' nl|'\n' name|'capacity_in_bytes' op|',' name|'vmdk_device' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|variable|scsi_controller_classes dedent|'' name|'scsi_controller_classes' op|'=' op|'{' nl|'\n' string|"'ParaVirtualSCSIController'" op|':' name|'constants' op|'.' name|'ADAPTER_TYPE_PARAVIRTUAL' op|',' nl|'\n' string|"'VirtualLsiLogicController'" op|':' name|'constants' op|'.' name|'DEFAULT_ADAPTER_TYPE' op|',' nl|'\n' string|"'VirtualLsiLogicSASController'" op|':' name|'constants' op|'.' name|'ADAPTER_TYPE_LSILOGICSAS' op|',' nl|'\n' string|"'VirtualBusLogicController'" op|':' name|'constants' op|'.' name|'ADAPTER_TYPE_PARAVIRTUAL' op|',' nl|'\n' op|'}' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_scsi_adapter_type name|'def' name|'get_scsi_adapter_type' op|'(' name|'hardware_devices' op|')' op|':' newline|'\n' indent|' ' string|'"""Selects a proper iscsi adapter type from the existing\n hardware devices\n """' newline|'\n' name|'if' name|'hardware_devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'hardware_devices' op|'.' name|'VirtualDevice' newline|'\n' nl|'\n' dedent|'' name|'for' name|'device' name|'in' name|'hardware_devices' op|':' newline|'\n' indent|' ' name|'if' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' name|'in' name|'scsi_controller_classes' op|':' newline|'\n' comment|'# find the controllers which still have available slots' nl|'\n' indent|' ' name|'if' name|'len' op|'(' name|'device' op|'.' name|'device' op|')' op|'<' name|'constants' op|'.' name|'SCSI_MAX_CONNECT_NUMBER' op|':' newline|'\n' comment|'# return the first match one' nl|'\n' indent|' ' name|'return' name|'scsi_controller_classes' op|'[' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|']' newline|'\n' dedent|'' dedent|'' dedent|'' name|'raise' name|'exception' op|'.' name|'StorageError' op|'(' nl|'\n' name|'reason' op|'=' name|'_' op|'(' string|'"Unable to find iSCSI Target"' op|')' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_find_controller_slot dedent|'' name|'def' name|'_find_controller_slot' op|'(' name|'controller_keys' op|',' name|'taken' op|',' name|'max_unit_number' op|')' op|':' newline|'\n' indent|' ' name|'for' name|'controller_key' name|'in' name|'controller_keys' op|':' newline|'\n' indent|' ' name|'for' name|'unit_number' name|'in' name|'range' op|'(' name|'max_unit_number' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'unit_number' name|'not' name|'in' name|'taken' op|'.' name|'get' op|'(' name|'controller_key' op|',' op|'[' op|']' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'controller_key' op|',' name|'unit_number' newline|'\n' nl|'\n' nl|'\n' DECL|function|_is_ide_controller dedent|'' dedent|'' dedent|'' dedent|'' name|'def' name|'_is_ide_controller' op|'(' name|'device' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|"'VirtualIDEController'" newline|'\n' nl|'\n' nl|'\n' DECL|function|_is_scsi_controller dedent|'' name|'def' name|'_is_scsi_controller' op|'(' name|'device' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' name|'in' op|'[' string|"'VirtualLsiLogicController'" op|',' nl|'\n' string|"'VirtualLsiLogicSASController'" op|',' nl|'\n' string|"'VirtualBusLogicController'" op|',' nl|'\n' string|"'ParaVirtualSCSIController'" op|']' newline|'\n' nl|'\n' nl|'\n' DECL|function|_find_allocated_slots dedent|'' name|'def' name|'_find_allocated_slots' op|'(' name|'devices' op|')' op|':' newline|'\n' indent|' ' string|'"""Return dictionary which maps controller_key to list of allocated unit\n numbers for that controller_key.\n """' newline|'\n' name|'taken' op|'=' op|'{' op|'}' newline|'\n' name|'for' name|'device' name|'in' name|'devices' op|':' newline|'\n' indent|' ' name|'if' name|'hasattr' op|'(' name|'device' op|',' string|"'controllerKey'" op|')' name|'and' name|'hasattr' op|'(' name|'device' op|',' string|"'unitNumber'" op|')' op|':' newline|'\n' indent|' ' name|'unit_numbers' op|'=' name|'taken' op|'.' name|'setdefault' op|'(' name|'device' op|'.' name|'controllerKey' op|',' op|'[' op|']' op|')' newline|'\n' name|'unit_numbers' op|'.' name|'append' op|'(' name|'device' op|'.' name|'unitNumber' op|')' newline|'\n' dedent|'' name|'if' name|'_is_scsi_controller' op|'(' name|'device' op|')' op|':' newline|'\n' comment|'# the SCSI controller sits on its own bus' nl|'\n' indent|' ' name|'unit_numbers' op|'=' name|'taken' op|'.' name|'setdefault' op|'(' name|'device' op|'.' name|'key' op|',' op|'[' op|']' op|')' newline|'\n' name|'unit_numbers' op|'.' name|'append' op|'(' name|'device' op|'.' name|'scsiCtlrUnitNumber' op|')' newline|'\n' dedent|'' dedent|'' name|'return' name|'taken' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_bus_number_for_scsi_controller dedent|'' name|'def' name|'_get_bus_number_for_scsi_controller' op|'(' name|'devices' op|')' op|':' newline|'\n' indent|' ' string|'"""Return usable bus number when create new SCSI controller."""' newline|'\n' comment|'# Every SCSI controller will take a unique bus number' nl|'\n' name|'taken' op|'=' op|'[' name|'dev' op|'.' name|'busNumber' name|'for' name|'dev' name|'in' name|'devices' name|'if' name|'_is_scsi_controller' op|'(' name|'dev' op|')' op|']' newline|'\n' comment|'# The max bus number for SCSI controllers is 3' nl|'\n' name|'for' name|'i' name|'in' name|'range' op|'(' name|'constants' op|'.' name|'SCSI_MAX_CONTROLLER_NUMBER' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'i' name|'not' name|'in' name|'taken' op|':' newline|'\n' indent|' ' name|'return' name|'i' newline|'\n' dedent|'' dedent|'' name|'msg' op|'=' name|'_' op|'(' string|"'Only %d SCSI controllers are allowed to be '" nl|'\n' string|"'created on this instance.'" op|')' op|'%' name|'constants' op|'.' name|'SCSI_MAX_CONTROLLER_NUMBER' newline|'\n' name|'raise' name|'vexc' op|'.' name|'VMwareDriverException' op|'(' name|'msg' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|allocate_controller_key_and_unit_number dedent|'' name|'def' name|'allocate_controller_key_and_unit_number' op|'(' name|'client_factory' op|',' name|'devices' op|',' nl|'\n' name|'adapter_type' op|')' op|':' newline|'\n' indent|' ' string|'"""This function inspects the current set of hardware devices and returns\n controller_key and unit_number that can be used for attaching a new virtual\n disk to adapter with the given adapter_type.\n """' newline|'\n' name|'if' name|'devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'devices' op|'=' name|'devices' op|'.' name|'VirtualDevice' newline|'\n' nl|'\n' dedent|'' name|'taken' op|'=' name|'_find_allocated_slots' op|'(' name|'devices' op|')' newline|'\n' nl|'\n' name|'ret' op|'=' name|'None' newline|'\n' name|'if' name|'adapter_type' op|'==' name|'constants' op|'.' name|'ADAPTER_TYPE_IDE' op|':' newline|'\n' indent|' ' name|'ide_keys' op|'=' op|'[' name|'dev' op|'.' name|'key' name|'for' name|'dev' name|'in' name|'devices' name|'if' name|'_is_ide_controller' op|'(' name|'dev' op|')' op|']' newline|'\n' name|'ret' op|'=' name|'_find_controller_slot' op|'(' name|'ide_keys' op|',' name|'taken' op|',' number|'2' op|')' newline|'\n' dedent|'' name|'elif' name|'adapter_type' name|'in' name|'constants' op|'.' name|'SCSI_ADAPTER_TYPES' op|':' newline|'\n' indent|' ' name|'scsi_keys' op|'=' op|'[' name|'dev' op|'.' name|'key' name|'for' name|'dev' name|'in' name|'devices' name|'if' name|'_is_scsi_controller' op|'(' name|'dev' op|')' op|']' newline|'\n' name|'ret' op|'=' name|'_find_controller_slot' op|'(' name|'scsi_keys' op|',' name|'taken' op|',' number|'16' op|')' newline|'\n' dedent|'' name|'if' name|'ret' op|':' newline|'\n' indent|' ' name|'return' name|'ret' op|'[' number|'0' op|']' op|',' name|'ret' op|'[' number|'1' op|']' op|',' name|'None' newline|'\n' nl|'\n' comment|'# create new controller with the specified type and return its spec' nl|'\n' dedent|'' name|'controller_key' op|'=' op|'-' number|'101' newline|'\n' nl|'\n' comment|'# Get free bus number for new SCSI controller.' nl|'\n' name|'bus_number' op|'=' number|'0' newline|'\n' name|'if' name|'adapter_type' name|'in' name|'constants' op|'.' name|'SCSI_ADAPTER_TYPES' op|':' newline|'\n' indent|' ' name|'bus_number' op|'=' name|'_get_bus_number_for_scsi_controller' op|'(' name|'devices' op|')' newline|'\n' nl|'\n' dedent|'' name|'controller_spec' op|'=' name|'create_controller_spec' op|'(' name|'client_factory' op|',' name|'controller_key' op|',' nl|'\n' name|'adapter_type' op|',' name|'bus_number' op|')' newline|'\n' name|'return' name|'controller_key' op|',' number|'0' op|',' name|'controller_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_rdm_disk dedent|'' name|'def' name|'get_rdm_disk' op|'(' name|'hardware_devices' op|',' name|'uuid' op|')' op|':' newline|'\n' indent|' ' string|'"""Gets the RDM disk key."""' newline|'\n' name|'if' name|'hardware_devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'hardware_devices' op|'.' name|'VirtualDevice' newline|'\n' nl|'\n' dedent|'' name|'for' name|'device' name|'in' name|'hardware_devices' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDisk"' name|'and' nl|'\n' name|'device' op|'.' name|'backing' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' nl|'\n' string|'"VirtualDiskRawDiskMappingVer1BackingInfo"' name|'and' nl|'\n' name|'device' op|'.' name|'backing' op|'.' name|'lunUuid' op|'==' name|'uuid' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'device' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vmdk_create_spec dedent|'' dedent|'' dedent|'' name|'def' name|'get_vmdk_create_spec' op|'(' name|'client_factory' op|',' name|'size_in_kb' op|',' nl|'\n' name|'adapter_type' op|'=' name|'constants' op|'.' name|'DEFAULT_ADAPTER_TYPE' op|',' nl|'\n' name|'disk_type' op|'=' name|'constants' op|'.' name|'DEFAULT_DISK_TYPE' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the virtual disk create spec."""' newline|'\n' name|'create_vmdk_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:FileBackedVirtualDiskSpec'" op|')' newline|'\n' name|'create_vmdk_spec' op|'.' name|'adapterType' op|'=' name|'get_vmdk_adapter_type' op|'(' name|'adapter_type' op|')' newline|'\n' name|'create_vmdk_spec' op|'.' name|'diskType' op|'=' name|'disk_type' newline|'\n' name|'create_vmdk_spec' op|'.' name|'capacityKb' op|'=' name|'size_in_kb' newline|'\n' name|'return' name|'create_vmdk_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|create_virtual_cdrom_spec dedent|'' name|'def' name|'create_virtual_cdrom_spec' op|'(' name|'client_factory' op|',' nl|'\n' name|'datastore' op|',' nl|'\n' name|'controller_key' op|',' nl|'\n' name|'file_path' op|',' nl|'\n' name|'cdrom_unit_number' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds spec for the creation of a new Virtual CDROM to the VM."""' newline|'\n' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'config_spec' op|'.' name|'operation' op|'=' string|'"add"' newline|'\n' nl|'\n' name|'cdrom' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualCdrom'" op|')' newline|'\n' nl|'\n' name|'cdrom_device_backing' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualCdromIsoBackingInfo'" op|')' newline|'\n' name|'cdrom_device_backing' op|'.' name|'datastore' op|'=' name|'datastore' newline|'\n' name|'cdrom_device_backing' op|'.' name|'fileName' op|'=' name|'file_path' newline|'\n' nl|'\n' name|'cdrom' op|'.' name|'backing' op|'=' name|'cdrom_device_backing' newline|'\n' name|'cdrom' op|'.' name|'controllerKey' op|'=' name|'controller_key' newline|'\n' name|'cdrom' op|'.' name|'unitNumber' op|'=' name|'cdrom_unit_number' newline|'\n' name|'cdrom' op|'.' name|'key' op|'=' op|'-' number|'1' newline|'\n' nl|'\n' name|'connectable_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualDeviceConnectInfo'" op|')' newline|'\n' name|'connectable_spec' op|'.' name|'startConnected' op|'=' name|'True' newline|'\n' name|'connectable_spec' op|'.' name|'allowGuestControl' op|'=' name|'False' newline|'\n' name|'connectable_spec' op|'.' name|'connected' op|'=' name|'True' newline|'\n' nl|'\n' name|'cdrom' op|'.' name|'connectable' op|'=' name|'connectable_spec' newline|'\n' nl|'\n' name|'config_spec' op|'.' name|'device' op|'=' name|'cdrom' newline|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|_create_virtual_disk_spec dedent|'' name|'def' name|'_create_virtual_disk_spec' op|'(' name|'client_factory' op|',' name|'controller_key' op|',' nl|'\n' name|'disk_type' op|'=' name|'constants' op|'.' name|'DEFAULT_DISK_TYPE' op|',' nl|'\n' name|'file_path' op|'=' name|'None' op|',' nl|'\n' name|'disk_size' op|'=' name|'None' op|',' nl|'\n' name|'linked_clone' op|'=' name|'False' op|',' nl|'\n' name|'unit_number' op|'=' name|'None' op|',' nl|'\n' name|'device_name' op|'=' name|'None' op|',' nl|'\n' name|'disk_io_limits' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds spec for the creation of a new/ attaching of an already existing\n Virtual Disk to the VM.\n """' newline|'\n' name|'virtual_device_config' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'virtual_device_config' op|'.' name|'operation' op|'=' string|'"add"' newline|'\n' name|'if' op|'(' name|'file_path' name|'is' name|'None' op|')' name|'or' name|'linked_clone' op|':' newline|'\n' indent|' ' name|'virtual_device_config' op|'.' name|'fileOperation' op|'=' string|'"create"' newline|'\n' nl|'\n' dedent|'' name|'virtual_disk' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualDisk'" op|')' newline|'\n' nl|'\n' name|'if' name|'disk_type' op|'==' string|'"rdm"' name|'or' name|'disk_type' op|'==' string|'"rdmp"' op|':' newline|'\n' indent|' ' name|'disk_file_backing' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDiskRawDiskMappingVer1BackingInfo'" op|')' newline|'\n' name|'disk_file_backing' op|'.' name|'compatibilityMode' op|'=' string|'"virtualMode"' name|'if' name|'disk_type' op|'==' string|'"rdm"' name|'else' string|'"physicalMode"' newline|'\n' name|'disk_file_backing' op|'.' name|'diskMode' op|'=' string|'"independent_persistent"' newline|'\n' name|'disk_file_backing' op|'.' name|'deviceName' op|'=' name|'device_name' name|'or' string|'""' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'disk_file_backing' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDiskFlatVer2BackingInfo'" op|')' newline|'\n' name|'disk_file_backing' op|'.' name|'diskMode' op|'=' string|'"persistent"' newline|'\n' name|'if' name|'disk_type' op|'==' name|'constants' op|'.' name|'DISK_TYPE_THIN' op|':' newline|'\n' indent|' ' name|'disk_file_backing' op|'.' name|'thinProvisioned' op|'=' name|'True' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'if' name|'disk_type' op|'==' name|'constants' op|'.' name|'DISK_TYPE_EAGER_ZEROED_THICK' op|':' newline|'\n' indent|' ' name|'disk_file_backing' op|'.' name|'eagerlyScrub' op|'=' name|'True' newline|'\n' dedent|'' dedent|'' dedent|'' name|'disk_file_backing' op|'.' name|'fileName' op|'=' name|'file_path' name|'or' string|'""' newline|'\n' nl|'\n' name|'connectable_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualDeviceConnectInfo'" op|')' newline|'\n' name|'connectable_spec' op|'.' name|'startConnected' op|'=' name|'True' newline|'\n' name|'connectable_spec' op|'.' name|'allowGuestControl' op|'=' name|'False' newline|'\n' name|'connectable_spec' op|'.' name|'connected' op|'=' name|'True' newline|'\n' nl|'\n' name|'if' name|'not' name|'linked_clone' op|':' newline|'\n' indent|' ' name|'virtual_disk' op|'.' name|'backing' op|'=' name|'disk_file_backing' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'virtual_disk' op|'.' name|'backing' op|'=' name|'copy' op|'.' name|'copy' op|'(' name|'disk_file_backing' op|')' newline|'\n' name|'virtual_disk' op|'.' name|'backing' op|'.' name|'fileName' op|'=' string|'""' newline|'\n' name|'virtual_disk' op|'.' name|'backing' op|'.' name|'parent' op|'=' name|'disk_file_backing' newline|'\n' dedent|'' name|'virtual_disk' op|'.' name|'connectable' op|'=' name|'connectable_spec' newline|'\n' nl|'\n' comment|'# The Server assigns a Key to the device. Here we pass a -ve random key.' nl|'\n' comment|"# -ve because actual keys are +ve numbers and we don't" nl|'\n' comment|'# want a clash with the key that server might associate with the device' nl|'\n' name|'virtual_disk' op|'.' name|'key' op|'=' op|'-' number|'100' newline|'\n' name|'virtual_disk' op|'.' name|'controllerKey' op|'=' name|'controller_key' newline|'\n' name|'virtual_disk' op|'.' name|'unitNumber' op|'=' name|'unit_number' name|'or' number|'0' newline|'\n' name|'virtual_disk' op|'.' name|'capacityInKB' op|'=' name|'disk_size' name|'or' number|'0' newline|'\n' nl|'\n' name|'if' name|'disk_io_limits' name|'and' name|'disk_io_limits' op|'.' name|'has_limits' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'virtual_disk' op|'.' name|'storageIOAllocation' op|'=' name|'_get_allocation_info' op|'(' nl|'\n' name|'client_factory' op|',' name|'disk_io_limits' op|',' nl|'\n' string|"'ns0:StorageIOAllocationInfo'" op|')' newline|'\n' nl|'\n' dedent|'' name|'virtual_device_config' op|'.' name|'device' op|'=' name|'virtual_disk' newline|'\n' nl|'\n' name|'return' name|'virtual_device_config' newline|'\n' nl|'\n' nl|'\n' DECL|function|detach_virtual_disk_spec dedent|'' name|'def' name|'detach_virtual_disk_spec' op|'(' name|'client_factory' op|',' name|'device' op|',' name|'destroy_disk' op|'=' name|'False' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds spec for the detach of an already existing Virtual Disk from VM.\n """' newline|'\n' name|'virtual_device_config' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'virtual_device_config' op|'.' name|'operation' op|'=' string|'"remove"' newline|'\n' name|'if' name|'destroy_disk' op|':' newline|'\n' indent|' ' name|'virtual_device_config' op|'.' name|'fileOperation' op|'=' string|'"destroy"' newline|'\n' dedent|'' name|'virtual_device_config' op|'.' name|'device' op|'=' name|'device' newline|'\n' nl|'\n' name|'return' name|'virtual_device_config' newline|'\n' nl|'\n' nl|'\n' DECL|function|clone_vm_spec dedent|'' name|'def' name|'clone_vm_spec' op|'(' name|'client_factory' op|',' name|'location' op|',' nl|'\n' name|'power_on' op|'=' name|'False' op|',' name|'snapshot' op|'=' name|'None' op|',' name|'template' op|'=' name|'False' op|',' name|'config' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the VM clone spec."""' newline|'\n' name|'clone_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineCloneSpec'" op|')' newline|'\n' name|'clone_spec' op|'.' name|'location' op|'=' name|'location' newline|'\n' name|'clone_spec' op|'.' name|'powerOn' op|'=' name|'power_on' newline|'\n' name|'if' name|'snapshot' op|':' newline|'\n' indent|' ' name|'clone_spec' op|'.' name|'snapshot' op|'=' name|'snapshot' newline|'\n' dedent|'' name|'if' name|'config' name|'is' name|'not' name|'None' op|':' newline|'\n' indent|' ' name|'clone_spec' op|'.' name|'config' op|'=' name|'config' newline|'\n' dedent|'' name|'clone_spec' op|'.' name|'template' op|'=' name|'template' newline|'\n' name|'return' name|'clone_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|relocate_vm_spec dedent|'' name|'def' name|'relocate_vm_spec' op|'(' name|'client_factory' op|',' name|'datastore' op|'=' name|'None' op|',' name|'host' op|'=' name|'None' op|',' nl|'\n' name|'disk_move_type' op|'=' string|'"moveAllDiskBackingsAndAllowSharing"' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the VM relocation spec."""' newline|'\n' name|'rel_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineRelocateSpec'" op|')' newline|'\n' name|'rel_spec' op|'.' name|'datastore' op|'=' name|'datastore' newline|'\n' name|'rel_spec' op|'.' name|'diskMoveType' op|'=' name|'disk_move_type' newline|'\n' name|'if' name|'host' op|':' newline|'\n' indent|' ' name|'rel_spec' op|'.' name|'host' op|'=' name|'host' newline|'\n' dedent|'' name|'return' name|'rel_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_machine_id_change_spec dedent|'' name|'def' name|'get_machine_id_change_spec' op|'(' name|'client_factory' op|',' name|'machine_id_str' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the machine id change config spec."""' newline|'\n' name|'virtual_machine_config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' nl|'\n' name|'opt' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt' op|'.' name|'key' op|'=' string|'"machine.id"' newline|'\n' name|'opt' op|'.' name|'value' op|'=' name|'machine_id_str' newline|'\n' name|'virtual_machine_config_spec' op|'.' name|'extraConfig' op|'=' op|'[' name|'opt' op|']' newline|'\n' name|'return' name|'virtual_machine_config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_add_vswitch_port_group_spec dedent|'' name|'def' name|'get_add_vswitch_port_group_spec' op|'(' name|'client_factory' op|',' name|'vswitch_name' op|',' nl|'\n' name|'port_group_name' op|',' name|'vlan_id' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the virtual switch port group add spec."""' newline|'\n' name|'vswitch_port_group_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:HostPortGroupSpec'" op|')' newline|'\n' name|'vswitch_port_group_spec' op|'.' name|'name' op|'=' name|'port_group_name' newline|'\n' name|'vswitch_port_group_spec' op|'.' name|'vswitchName' op|'=' name|'vswitch_name' newline|'\n' nl|'\n' comment|'# VLAN ID of 0 means that VLAN tagging is not to be done for the network.' nl|'\n' name|'vswitch_port_group_spec' op|'.' name|'vlanId' op|'=' name|'int' op|'(' name|'vlan_id' op|')' newline|'\n' nl|'\n' name|'policy' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:HostNetworkPolicy'" op|')' newline|'\n' name|'nicteaming' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:HostNicTeamingPolicy'" op|')' newline|'\n' name|'nicteaming' op|'.' name|'notifySwitches' op|'=' name|'True' newline|'\n' name|'policy' op|'.' name|'nicTeaming' op|'=' name|'nicteaming' newline|'\n' nl|'\n' name|'vswitch_port_group_spec' op|'.' name|'policy' op|'=' name|'policy' newline|'\n' name|'return' name|'vswitch_port_group_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vnc_config_spec dedent|'' name|'def' name|'get_vnc_config_spec' op|'(' name|'client_factory' op|',' name|'port' op|')' op|':' newline|'\n' indent|' ' string|'"""Builds the vnc config spec."""' newline|'\n' name|'virtual_machine_config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' nl|'\n' name|'opt_enabled' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt_enabled' op|'.' name|'key' op|'=' string|'"RemoteDisplay.vnc.enabled"' newline|'\n' name|'opt_enabled' op|'.' name|'value' op|'=' string|'"true"' newline|'\n' name|'opt_port' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt_port' op|'.' name|'key' op|'=' string|'"RemoteDisplay.vnc.port"' newline|'\n' name|'opt_port' op|'.' name|'value' op|'=' name|'port' newline|'\n' name|'opt_keymap' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:OptionValue'" op|')' newline|'\n' name|'opt_keymap' op|'.' name|'key' op|'=' string|'"RemoteDisplay.vnc.keyMap"' newline|'\n' name|'opt_keymap' op|'.' name|'value' op|'=' name|'CONF' op|'.' name|'vnc' op|'.' name|'keymap' newline|'\n' nl|'\n' name|'extras' op|'=' op|'[' name|'opt_enabled' op|',' name|'opt_port' op|',' name|'opt_keymap' op|']' newline|'\n' nl|'\n' name|'virtual_machine_config_spec' op|'.' name|'extraConfig' op|'=' name|'extras' newline|'\n' name|'return' name|'virtual_machine_config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vnc_port dedent|'' name|'def' name|'get_vnc_port' op|'(' name|'session' op|')' op|':' newline|'\n' indent|' ' string|'"""Return VNC port for an VM or None if there is no available port."""' newline|'\n' name|'min_port' op|'=' name|'CONF' op|'.' name|'vmware' op|'.' name|'vnc_port' newline|'\n' name|'port_total' op|'=' name|'CONF' op|'.' name|'vmware' op|'.' name|'vnc_port_total' newline|'\n' name|'allocated_ports' op|'=' name|'_get_allocated_vnc_ports' op|'(' name|'session' op|')' newline|'\n' name|'max_port' op|'=' name|'min_port' op|'+' name|'port_total' newline|'\n' name|'for' name|'port' name|'in' name|'range' op|'(' name|'min_port' op|',' name|'max_port' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'port' name|'not' name|'in' name|'allocated_ports' op|':' newline|'\n' indent|' ' name|'return' name|'port' newline|'\n' dedent|'' dedent|'' name|'raise' name|'exception' op|'.' name|'ConsolePortRangeExhausted' op|'(' name|'min_port' op|'=' name|'min_port' op|',' nl|'\n' name|'max_port' op|'=' name|'max_port' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_allocated_vnc_ports dedent|'' name|'def' name|'_get_allocated_vnc_ports' op|'(' name|'session' op|')' op|':' newline|'\n' indent|' ' string|'"""Return an integer set of all allocated VNC ports."""' newline|'\n' comment|'# TODO(rgerganov): bug #1256944' nl|'\n' comment|'# The VNC port should be unique per host, not per vCenter' nl|'\n' name|'vnc_ports' op|'=' name|'set' op|'(' op|')' newline|'\n' name|'result' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vim_util' op|',' string|'"get_objects"' op|',' nl|'\n' string|'"VirtualMachine"' op|',' op|'[' name|'VNC_CONFIG_KEY' op|']' op|')' newline|'\n' name|'while' name|'result' op|':' newline|'\n' indent|' ' name|'for' name|'obj' name|'in' name|'result' op|'.' name|'objects' op|':' newline|'\n' indent|' ' name|'if' name|'not' name|'hasattr' op|'(' name|'obj' op|',' string|"'propSet'" op|')' op|':' newline|'\n' indent|' ' name|'continue' newline|'\n' dedent|'' name|'dynamic_prop' op|'=' name|'obj' op|'.' name|'propSet' op|'[' number|'0' op|']' newline|'\n' name|'option_value' op|'=' name|'dynamic_prop' op|'.' name|'val' newline|'\n' name|'vnc_port' op|'=' name|'option_value' op|'.' name|'value' newline|'\n' name|'vnc_ports' op|'.' name|'add' op|'(' name|'int' op|'(' name|'vnc_port' op|')' op|')' newline|'\n' dedent|'' name|'result' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|"'continue_retrieval'" op|',' nl|'\n' name|'result' op|')' newline|'\n' dedent|'' name|'return' name|'vnc_ports' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_object_for_value dedent|'' name|'def' name|'_get_object_for_value' op|'(' name|'results' op|',' name|'value' op|')' op|':' newline|'\n' indent|' ' name|'for' name|'object' name|'in' name|'results' op|'.' name|'objects' op|':' newline|'\n' indent|' ' name|'if' name|'object' op|'.' name|'propSet' op|'[' number|'0' op|']' op|'.' name|'val' op|'==' name|'value' op|':' newline|'\n' indent|' ' name|'return' name|'object' op|'.' name|'obj' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_object_for_optionvalue dedent|'' dedent|'' dedent|'' name|'def' name|'_get_object_for_optionvalue' op|'(' name|'results' op|',' name|'value' op|')' op|':' newline|'\n' indent|' ' name|'for' name|'object' name|'in' name|'results' op|'.' name|'objects' op|':' newline|'\n' indent|' ' name|'if' name|'hasattr' op|'(' name|'object' op|',' string|'"propSet"' op|')' name|'and' name|'object' op|'.' name|'propSet' op|':' newline|'\n' indent|' ' name|'if' name|'object' op|'.' name|'propSet' op|'[' number|'0' op|']' op|'.' name|'val' op|'.' name|'value' op|'==' name|'value' op|':' newline|'\n' indent|' ' name|'return' name|'object' op|'.' name|'obj' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_object_from_results dedent|'' dedent|'' dedent|'' dedent|'' name|'def' name|'_get_object_from_results' op|'(' name|'session' op|',' name|'results' op|',' name|'value' op|',' name|'func' op|')' op|':' newline|'\n' indent|' ' name|'while' name|'results' op|':' newline|'\n' indent|' ' name|'object' op|'=' name|'func' op|'(' name|'results' op|',' name|'value' op|')' newline|'\n' name|'if' name|'object' op|':' newline|'\n' indent|' ' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|"'cancel_retrieval'" op|',' nl|'\n' name|'results' op|')' newline|'\n' name|'return' name|'object' newline|'\n' dedent|'' name|'results' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|"'continue_retrieval'" op|',' nl|'\n' name|'results' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_vm_ref_from_name dedent|'' dedent|'' name|'def' name|'_get_vm_ref_from_name' op|'(' name|'session' op|',' name|'vm_name' op|')' op|':' newline|'\n' indent|' ' string|'"""Get reference to the VM with the name specified."""' newline|'\n' name|'vms' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vim_util' op|',' string|'"get_objects"' op|',' nl|'\n' string|'"VirtualMachine"' op|',' op|'[' string|'"name"' op|']' op|')' newline|'\n' name|'return' name|'_get_object_from_results' op|'(' name|'session' op|',' name|'vms' op|',' name|'vm_name' op|',' nl|'\n' name|'_get_object_for_value' op|')' newline|'\n' nl|'\n' nl|'\n' dedent|'' op|'@' name|'vm_ref_cache_from_name' newline|'\n' DECL|function|get_vm_ref_from_name name|'def' name|'get_vm_ref_from_name' op|'(' name|'session' op|',' name|'vm_name' op|')' op|':' newline|'\n' indent|' ' name|'return' op|'(' name|'_get_vm_ref_from_vm_uuid' op|'(' name|'session' op|',' name|'vm_name' op|')' name|'or' nl|'\n' name|'_get_vm_ref_from_name' op|'(' name|'session' op|',' name|'vm_name' op|')' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_vm_ref_from_uuid dedent|'' name|'def' name|'_get_vm_ref_from_uuid' op|'(' name|'session' op|',' name|'instance_uuid' op|')' op|':' newline|'\n' indent|' ' string|'"""Get reference to the VM with the uuid specified.\n\n This method reads all of the names of the VM\'s that are running\n on the backend, then it filters locally the matching\n instance_uuid. It is far more optimal to use\n _get_vm_ref_from_vm_uuid.\n """' newline|'\n' name|'vms' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vim_util' op|',' string|'"get_objects"' op|',' nl|'\n' string|'"VirtualMachine"' op|',' op|'[' string|'"name"' op|']' op|')' newline|'\n' name|'return' name|'_get_object_from_results' op|'(' name|'session' op|',' name|'vms' op|',' name|'instance_uuid' op|',' nl|'\n' name|'_get_object_for_value' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_vm_ref_from_vm_uuid dedent|'' name|'def' name|'_get_vm_ref_from_vm_uuid' op|'(' name|'session' op|',' name|'instance_uuid' op|')' op|':' newline|'\n' indent|' ' string|'"""Get reference to the VM.\n\n The method will make use of FindAllByUuid to get the VM reference.\n This method finds all VM\'s on the backend that match the\n instance_uuid, more specifically all VM\'s on the backend that have\n \'config_spec.instanceUuid\' set to \'instance_uuid\'.\n """' newline|'\n' name|'vm_refs' op|'=' name|'session' op|'.' name|'_call_method' op|'(' nl|'\n' name|'session' op|'.' name|'vim' op|',' nl|'\n' string|'"FindAllByUuid"' op|',' nl|'\n' name|'session' op|'.' name|'vim' op|'.' name|'service_content' op|'.' name|'searchIndex' op|',' nl|'\n' name|'uuid' op|'=' name|'instance_uuid' op|',' nl|'\n' name|'vmSearch' op|'=' name|'True' op|',' nl|'\n' name|'instanceUuid' op|'=' name|'True' op|')' newline|'\n' name|'if' name|'vm_refs' op|':' newline|'\n' indent|' ' name|'return' name|'vm_refs' op|'[' number|'0' op|']' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_vm_ref_from_extraconfig dedent|'' dedent|'' name|'def' name|'_get_vm_ref_from_extraconfig' op|'(' name|'session' op|',' name|'instance_uuid' op|')' op|':' newline|'\n' indent|' ' string|'"""Get reference to the VM with the uuid specified."""' newline|'\n' name|'vms' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vim_util' op|',' string|'"get_objects"' op|',' nl|'\n' string|'"VirtualMachine"' op|',' op|'[' string|'\'config.extraConfig["nvp.vm-uuid"]\'' op|']' op|')' newline|'\n' name|'return' name|'_get_object_from_results' op|'(' name|'session' op|',' name|'vms' op|',' name|'instance_uuid' op|',' nl|'\n' name|'_get_object_for_optionvalue' op|')' newline|'\n' nl|'\n' nl|'\n' dedent|'' op|'@' name|'vm_ref_cache_from_instance' newline|'\n' DECL|function|get_vm_ref name|'def' name|'get_vm_ref' op|'(' name|'session' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' string|'"""Get reference to the VM through uuid or vm name."""' newline|'\n' name|'uuid' op|'=' name|'instance' op|'.' name|'uuid' newline|'\n' name|'vm_ref' op|'=' op|'(' name|'search_vm_ref_by_identifier' op|'(' name|'session' op|',' name|'uuid' op|')' name|'or' nl|'\n' name|'_get_vm_ref_from_name' op|'(' name|'session' op|',' name|'instance' op|'.' name|'name' op|')' op|')' newline|'\n' name|'if' name|'vm_ref' name|'is' name|'None' op|':' newline|'\n' indent|' ' name|'raise' name|'exception' op|'.' name|'InstanceNotFound' op|'(' name|'instance_id' op|'=' name|'uuid' op|')' newline|'\n' dedent|'' name|'return' name|'vm_ref' newline|'\n' nl|'\n' nl|'\n' DECL|function|search_vm_ref_by_identifier dedent|'' name|'def' name|'search_vm_ref_by_identifier' op|'(' name|'session' op|',' name|'identifier' op|')' op|':' newline|'\n' indent|' ' string|'"""Searches VM reference using the identifier.\n\n This method is primarily meant to separate out part of the logic for\n vm_ref search that could be use directly in the special case of\n migrating the instance. For querying VM linked to an instance always\n use get_vm_ref instead.\n """' newline|'\n' name|'vm_ref' op|'=' op|'(' name|'_get_vm_ref_from_vm_uuid' op|'(' name|'session' op|',' name|'identifier' op|')' name|'or' nl|'\n' name|'_get_vm_ref_from_extraconfig' op|'(' name|'session' op|',' name|'identifier' op|')' name|'or' nl|'\n' name|'_get_vm_ref_from_uuid' op|'(' name|'session' op|',' name|'identifier' op|')' op|')' newline|'\n' name|'return' name|'vm_ref' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_host_ref_for_vm dedent|'' name|'def' name|'get_host_ref_for_vm' op|'(' name|'session' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' string|'"""Get a MoRef to the ESXi host currently running an instance."""' newline|'\n' nl|'\n' name|'vm_ref' op|'=' name|'get_vm_ref' op|'(' name|'session' op|',' name|'instance' op|')' newline|'\n' name|'return' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|'"get_object_property"' op|',' nl|'\n' name|'vm_ref' op|',' string|'"runtime.host"' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_host_name_for_vm dedent|'' name|'def' name|'get_host_name_for_vm' op|'(' name|'session' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' string|'"""Get the hostname of the ESXi host currently running an instance."""' newline|'\n' nl|'\n' name|'host_ref' op|'=' name|'get_host_ref_for_vm' op|'(' name|'session' op|',' name|'instance' op|')' newline|'\n' name|'return' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|'"get_object_property"' op|',' nl|'\n' name|'host_ref' op|',' string|'"name"' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vm_state dedent|'' name|'def' name|'get_vm_state' op|'(' name|'session' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' name|'vm_ref' op|'=' name|'get_vm_ref' op|'(' name|'session' op|',' name|'instance' op|')' newline|'\n' name|'vm_state' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|'"get_object_property"' op|',' nl|'\n' name|'vm_ref' op|',' string|'"runtime.powerState"' op|')' newline|'\n' name|'return' name|'vm_state' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_stats_from_cluster dedent|'' name|'def' name|'get_stats_from_cluster' op|'(' name|'session' op|',' name|'cluster' op|')' op|':' newline|'\n' indent|' ' string|'"""Get the aggregate resource stats of a cluster."""' newline|'\n' name|'vcpus' op|'=' number|'0' newline|'\n' name|'mem_info' op|'=' op|'{' string|"'total'" op|':' number|'0' op|',' string|"'free'" op|':' number|'0' op|'}' newline|'\n' comment|'# Get the Host and Resource Pool Managed Object Refs' nl|'\n' name|'prop_dict' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' nl|'\n' string|'"get_object_properties_dict"' op|',' nl|'\n' name|'cluster' op|',' nl|'\n' op|'[' string|'"host"' op|',' string|'"resourcePool"' op|']' op|')' newline|'\n' name|'if' name|'prop_dict' op|':' newline|'\n' indent|' ' name|'host_ret' op|'=' name|'prop_dict' op|'.' name|'get' op|'(' string|"'host'" op|')' newline|'\n' name|'if' name|'host_ret' op|':' newline|'\n' indent|' ' name|'host_mors' op|'=' name|'host_ret' op|'.' name|'ManagedObjectReference' newline|'\n' name|'result' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vim_util' op|',' nl|'\n' string|'"get_properties_for_a_collection_of_objects"' op|',' nl|'\n' string|'"HostSystem"' op|',' name|'host_mors' op|',' nl|'\n' op|'[' string|'"summary.hardware"' op|',' string|'"summary.runtime"' op|']' op|')' newline|'\n' name|'for' name|'obj' name|'in' name|'result' op|'.' name|'objects' op|':' newline|'\n' indent|' ' name|'hardware_summary' op|'=' name|'obj' op|'.' name|'propSet' op|'[' number|'0' op|']' op|'.' name|'val' newline|'\n' name|'runtime_summary' op|'=' name|'obj' op|'.' name|'propSet' op|'[' number|'1' op|']' op|'.' name|'val' newline|'\n' name|'if' op|'(' name|'runtime_summary' op|'.' name|'inMaintenanceMode' name|'is' name|'False' name|'and' nl|'\n' name|'runtime_summary' op|'.' name|'connectionState' op|'==' string|'"connected"' op|')' op|':' newline|'\n' comment|'# Total vcpus is the sum of all pCPUs of individual hosts' nl|'\n' comment|'# The overcommitment ratio is factored in by the scheduler' nl|'\n' indent|' ' name|'vcpus' op|'+=' name|'hardware_summary' op|'.' name|'numCpuThreads' newline|'\n' nl|'\n' dedent|'' dedent|'' dedent|'' name|'res_mor' op|'=' name|'prop_dict' op|'.' name|'get' op|'(' string|"'resourcePool'" op|')' newline|'\n' name|'if' name|'res_mor' op|':' newline|'\n' indent|' ' name|'res_usage' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|'"get_object_property"' op|',' nl|'\n' name|'res_mor' op|',' string|'"summary.runtime.memory"' op|')' newline|'\n' name|'if' name|'res_usage' op|':' newline|'\n' comment|"# maxUsage is the memory limit of the cluster available to VM's" nl|'\n' indent|' ' name|'mem_info' op|'[' string|"'total'" op|']' op|'=' name|'int' op|'(' name|'res_usage' op|'.' name|'maxUsage' op|'/' name|'units' op|'.' name|'Mi' op|')' newline|'\n' comment|"# overallUsage is the hypervisor's view of memory usage by VM's" nl|'\n' name|'consumed' op|'=' name|'int' op|'(' name|'res_usage' op|'.' name|'overallUsage' op|'/' name|'units' op|'.' name|'Mi' op|')' newline|'\n' name|'mem_info' op|'[' string|"'free'" op|']' op|'=' name|'mem_info' op|'[' string|"'total'" op|']' op|'-' name|'consumed' newline|'\n' dedent|'' dedent|'' dedent|'' name|'stats' op|'=' op|'{' string|"'vcpus'" op|':' name|'vcpus' op|',' string|"'mem'" op|':' name|'mem_info' op|'}' newline|'\n' name|'return' name|'stats' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_host_ref dedent|'' name|'def' name|'get_host_ref' op|'(' name|'session' op|',' name|'cluster' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Get reference to a host within the cluster specified."""' newline|'\n' name|'if' name|'cluster' name|'is' name|'None' op|':' newline|'\n' indent|' ' name|'results' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vim_util' op|',' string|'"get_objects"' op|',' nl|'\n' string|'"HostSystem"' op|')' newline|'\n' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|"'cancel_retrieval'" op|',' nl|'\n' name|'results' op|')' newline|'\n' name|'host_mor' op|'=' name|'results' op|'.' name|'objects' op|'[' number|'0' op|']' op|'.' name|'obj' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'host_ret' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|'"get_object_property"' op|',' nl|'\n' name|'cluster' op|',' string|'"host"' op|')' newline|'\n' name|'if' name|'not' name|'host_ret' name|'or' name|'not' name|'host_ret' op|'.' name|'ManagedObjectReference' op|':' newline|'\n' indent|' ' name|'msg' op|'=' name|'_' op|'(' string|"'No host available on cluster'" op|')' newline|'\n' name|'raise' name|'exception' op|'.' name|'NoValidHost' op|'(' name|'reason' op|'=' name|'msg' op|')' newline|'\n' dedent|'' name|'host_mor' op|'=' name|'host_ret' op|'.' name|'ManagedObjectReference' op|'[' number|'0' op|']' newline|'\n' nl|'\n' dedent|'' name|'return' name|'host_mor' newline|'\n' nl|'\n' nl|'\n' DECL|function|propset_dict dedent|'' name|'def' name|'propset_dict' op|'(' name|'propset' op|')' op|':' newline|'\n' indent|' ' string|'"""Turn a propset list into a dictionary\n\n PropSet is an optional attribute on ObjectContent objects\n that are returned by the VMware API.\n\n You can read more about these at:\n | http://pubs.vmware.com/vsphere-51/index.jsp\n | #com.vmware.wssdk.apiref.doc/\n | vmodl.query.PropertyCollector.ObjectContent.html\n\n :param propset: a property "set" from ObjectContent\n :return: dictionary representing property set\n """' newline|'\n' name|'if' name|'propset' name|'is' name|'None' op|':' newline|'\n' indent|' ' name|'return' op|'{' op|'}' newline|'\n' nl|'\n' dedent|'' name|'return' op|'{' name|'prop' op|'.' name|'name' op|':' name|'prop' op|'.' name|'val' name|'for' name|'prop' name|'in' name|'propset' op|'}' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vmdk_backed_disk_device dedent|'' name|'def' name|'get_vmdk_backed_disk_device' op|'(' name|'hardware_devices' op|',' name|'uuid' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'hardware_devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'hardware_devices' op|'.' name|'VirtualDevice' newline|'\n' nl|'\n' dedent|'' name|'for' name|'device' name|'in' name|'hardware_devices' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDisk"' name|'and' nl|'\n' name|'device' op|'.' name|'backing' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' nl|'\n' string|'"VirtualDiskFlatVer2BackingInfo"' name|'and' nl|'\n' name|'device' op|'.' name|'backing' op|'.' name|'uuid' op|'==' name|'uuid' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'device' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vmdk_volume_disk dedent|'' dedent|'' dedent|'' name|'def' name|'get_vmdk_volume_disk' op|'(' name|'hardware_devices' op|',' name|'path' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'hardware_devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'hardware_devices' op|'.' name|'VirtualDevice' newline|'\n' nl|'\n' dedent|'' name|'for' name|'device' name|'in' name|'hardware_devices' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDisk"' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'not' name|'path' name|'or' name|'path' op|'==' name|'device' op|'.' name|'backing' op|'.' name|'fileName' op|':' newline|'\n' indent|' ' name|'return' name|'device' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_res_pool_ref dedent|'' dedent|'' dedent|'' dedent|'' name|'def' name|'get_res_pool_ref' op|'(' name|'session' op|',' name|'cluster' op|')' op|':' newline|'\n' indent|' ' string|'"""Get the resource pool."""' newline|'\n' comment|'# Get the root resource pool of the cluster' nl|'\n' name|'res_pool_ref' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' nl|'\n' string|'"get_object_property"' op|',' nl|'\n' name|'cluster' op|',' nl|'\n' string|'"resourcePool"' op|')' newline|'\n' name|'return' name|'res_pool_ref' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_all_cluster_mors dedent|'' name|'def' name|'get_all_cluster_mors' op|'(' name|'session' op|')' op|':' newline|'\n' indent|' ' string|'"""Get all the clusters in the vCenter."""' newline|'\n' name|'try' op|':' newline|'\n' indent|' ' name|'results' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vim_util' op|',' string|'"get_objects"' op|',' nl|'\n' string|'"ClusterComputeResource"' op|',' op|'[' string|'"name"' op|']' op|')' newline|'\n' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|"'cancel_retrieval'" op|',' nl|'\n' name|'results' op|')' newline|'\n' name|'return' name|'results' op|'.' name|'objects' newline|'\n' nl|'\n' dedent|'' name|'except' name|'Exception' name|'as' name|'excep' op|':' newline|'\n' indent|' ' name|'LOG' op|'.' name|'warning' op|'(' name|'_LW' op|'(' string|'"Failed to get cluster references %s"' op|')' op|',' name|'excep' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_cluster_ref_by_name dedent|'' dedent|'' name|'def' name|'get_cluster_ref_by_name' op|'(' name|'session' op|',' name|'cluster_name' op|')' op|':' newline|'\n' indent|' ' string|'"""Get reference to the vCenter cluster with the specified name."""' newline|'\n' name|'all_clusters' op|'=' name|'get_all_cluster_mors' op|'(' name|'session' op|')' newline|'\n' name|'for' name|'cluster' name|'in' name|'all_clusters' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'hasattr' op|'(' name|'cluster' op|',' string|"'propSet'" op|')' name|'and' nl|'\n' name|'cluster' op|'.' name|'propSet' op|'[' number|'0' op|']' op|'.' name|'val' op|'==' name|'cluster_name' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'cluster' op|'.' name|'obj' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vmdk_adapter_type dedent|'' dedent|'' dedent|'' name|'def' name|'get_vmdk_adapter_type' op|'(' name|'adapter_type' op|')' op|':' newline|'\n' indent|' ' string|'"""Return the adapter type to be used in vmdk descriptor.\n\n Adapter type in vmdk descriptor is same for LSI-SAS, LSILogic & ParaVirtual\n because Virtual Disk Manager API does not recognize the newer controller\n types.\n """' newline|'\n' name|'if' name|'adapter_type' name|'in' op|'[' name|'constants' op|'.' name|'ADAPTER_TYPE_LSILOGICSAS' op|',' nl|'\n' name|'constants' op|'.' name|'ADAPTER_TYPE_PARAVIRTUAL' op|']' op|':' newline|'\n' indent|' ' name|'vmdk_adapter_type' op|'=' name|'constants' op|'.' name|'DEFAULT_ADAPTER_TYPE' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'vmdk_adapter_type' op|'=' name|'adapter_type' newline|'\n' dedent|'' name|'return' name|'vmdk_adapter_type' newline|'\n' nl|'\n' nl|'\n' DECL|function|create_vm dedent|'' name|'def' name|'create_vm' op|'(' name|'session' op|',' name|'instance' op|',' name|'vm_folder' op|',' name|'config_spec' op|',' name|'res_pool_ref' op|')' op|':' newline|'\n' indent|' ' string|'"""Create VM on ESX host."""' newline|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|'"Creating VM on the ESX host"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' name|'vm_create_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' nl|'\n' name|'session' op|'.' name|'vim' op|',' nl|'\n' string|'"CreateVM_Task"' op|',' name|'vm_folder' op|',' nl|'\n' name|'config' op|'=' name|'config_spec' op|',' name|'pool' op|'=' name|'res_pool_ref' op|')' newline|'\n' name|'try' op|':' newline|'\n' indent|' ' name|'task_info' op|'=' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'vm_create_task' op|')' newline|'\n' dedent|'' name|'except' name|'vexc' op|'.' name|'VMwareDriverException' op|':' newline|'\n' comment|'# An invalid guestId will result in an error with no specific fault' nl|'\n' comment|"# type and the generic error 'A specified parameter was not correct'." nl|'\n' comment|'# As guestId is user-editable, we try to help the user out with some' nl|'\n' comment|"# additional information if we notice that guestId isn't in our list of" nl|'\n' comment|'# known-good values.' nl|'\n' comment|"# We don't check this in advance or do anything more than warn because" nl|'\n' comment|"# we can't guarantee that our list of known-good guestIds is complete." nl|'\n' comment|"# Consequently, a value which we don't recognise may in fact be valid." nl|'\n' indent|' ' name|'with' name|'excutils' op|'.' name|'save_and_reraise_exception' op|'(' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'config_spec' op|'.' name|'guestId' name|'not' name|'in' name|'constants' op|'.' name|'VALID_OS_TYPES' op|':' newline|'\n' indent|' ' name|'LOG' op|'.' name|'warning' op|'(' name|'_LW' op|'(' string|"'vmware_ostype from image is not recognised: '" nl|'\n' string|"'\\'%(ostype)s\\'. An invalid os type may be '" nl|'\n' string|"'one cause of this instance creation failure'" op|')' op|',' nl|'\n' op|'{' string|"'ostype'" op|':' name|'config_spec' op|'.' name|'guestId' op|'}' op|')' newline|'\n' dedent|'' dedent|'' dedent|'' name|'LOG' op|'.' name|'debug' op|'(' string|'"Created VM on the ESX host"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' name|'return' name|'task_info' op|'.' name|'result' newline|'\n' nl|'\n' nl|'\n' DECL|function|destroy_vm dedent|'' name|'def' name|'destroy_vm' op|'(' name|'session' op|',' name|'instance' op|',' name|'vm_ref' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Destroy a VM instance. Assumes VM is powered off."""' newline|'\n' name|'try' op|':' newline|'\n' indent|' ' name|'if' name|'not' name|'vm_ref' op|':' newline|'\n' indent|' ' name|'vm_ref' op|'=' name|'get_vm_ref' op|'(' name|'session' op|',' name|'instance' op|')' newline|'\n' dedent|'' name|'LOG' op|'.' name|'debug' op|'(' string|'"Destroying the VM"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' name|'destroy_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'session' op|'.' name|'vim' op|',' string|'"Destroy_Task"' op|',' nl|'\n' name|'vm_ref' op|')' newline|'\n' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'destroy_task' op|')' newline|'\n' name|'LOG' op|'.' name|'info' op|'(' name|'_LI' op|'(' string|'"Destroyed the VM"' op|')' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' dedent|'' name|'except' name|'Exception' op|':' newline|'\n' indent|' ' name|'LOG' op|'.' name|'exception' op|'(' name|'_LE' op|'(' string|"'Destroy VM failed'" op|')' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|create_virtual_disk dedent|'' dedent|'' name|'def' name|'create_virtual_disk' op|'(' name|'session' op|',' name|'dc_ref' op|',' name|'adapter_type' op|',' name|'disk_type' op|',' nl|'\n' name|'virtual_disk_path' op|',' name|'size_in_kb' op|')' op|':' newline|'\n' comment|'# Create a Virtual Disk of the size of the flat vmdk file. This is' nl|'\n' comment|'# done just to generate the meta-data file whose specifics' nl|'\n' comment|'# depend on the size of the disk, thin/thick provisioning and the' nl|'\n' comment|'# storage adapter type.' nl|'\n' indent|' ' name|'LOG' op|'.' name|'debug' op|'(' string|'"Creating Virtual Disk of size "' nl|'\n' string|'"%(vmdk_file_size_in_kb)s KB and adapter type "' nl|'\n' string|'"%(adapter_type)s on the data store"' op|',' nl|'\n' op|'{' string|'"vmdk_file_size_in_kb"' op|':' name|'size_in_kb' op|',' nl|'\n' string|'"adapter_type"' op|':' name|'adapter_type' op|'}' op|')' newline|'\n' nl|'\n' name|'vmdk_create_spec' op|'=' name|'get_vmdk_create_spec' op|'(' nl|'\n' name|'session' op|'.' name|'vim' op|'.' name|'client' op|'.' name|'factory' op|',' nl|'\n' name|'size_in_kb' op|',' nl|'\n' name|'adapter_type' op|',' nl|'\n' name|'disk_type' op|')' newline|'\n' nl|'\n' name|'vmdk_create_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' nl|'\n' name|'session' op|'.' name|'vim' op|',' nl|'\n' string|'"CreateVirtualDisk_Task"' op|',' nl|'\n' name|'session' op|'.' name|'vim' op|'.' name|'service_content' op|'.' name|'virtualDiskManager' op|',' nl|'\n' name|'name' op|'=' name|'virtual_disk_path' op|',' nl|'\n' name|'datacenter' op|'=' name|'dc_ref' op|',' nl|'\n' name|'spec' op|'=' name|'vmdk_create_spec' op|')' newline|'\n' nl|'\n' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'vmdk_create_task' op|')' newline|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|'"Created Virtual Disk of size %(vmdk_file_size_in_kb)s"' nl|'\n' string|'" KB and type %(disk_type)s"' op|',' nl|'\n' op|'{' string|'"vmdk_file_size_in_kb"' op|':' name|'size_in_kb' op|',' nl|'\n' string|'"disk_type"' op|':' name|'disk_type' op|'}' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|copy_virtual_disk dedent|'' name|'def' name|'copy_virtual_disk' op|'(' name|'session' op|',' name|'dc_ref' op|',' name|'source' op|',' name|'dest' op|')' op|':' newline|'\n' indent|' ' string|'"""Copy a sparse virtual disk to a thin virtual disk.\n\n This is also done to generate the meta-data file whose specifics\n depend on the size of the disk, thin/thick provisioning and the\n storage adapter type.\n\n :param session: - session for connection\n :param dc_ref: - data center reference object\n :param source: - source datastore path\n :param dest: - destination datastore path\n :returns: None\n """' newline|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|'"Copying Virtual Disk %(source)s to %(dest)s"' op|',' nl|'\n' op|'{' string|"'source'" op|':' name|'source' op|',' string|"'dest'" op|':' name|'dest' op|'}' op|')' newline|'\n' name|'vim' op|'=' name|'session' op|'.' name|'vim' newline|'\n' name|'vmdk_copy_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' nl|'\n' name|'vim' op|',' nl|'\n' string|'"CopyVirtualDisk_Task"' op|',' nl|'\n' name|'vim' op|'.' name|'service_content' op|'.' name|'virtualDiskManager' op|',' nl|'\n' name|'sourceName' op|'=' name|'source' op|',' nl|'\n' name|'sourceDatacenter' op|'=' name|'dc_ref' op|',' nl|'\n' name|'destName' op|'=' name|'dest' op|')' newline|'\n' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'vmdk_copy_task' op|')' newline|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|'"Copied Virtual Disk %(source)s to %(dest)s"' op|',' nl|'\n' op|'{' string|"'source'" op|':' name|'source' op|',' string|"'dest'" op|':' name|'dest' op|'}' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|reconfigure_vm dedent|'' name|'def' name|'reconfigure_vm' op|'(' name|'session' op|',' name|'vm_ref' op|',' name|'config_spec' op|')' op|':' newline|'\n' indent|' ' string|'"""Reconfigure a VM according to the config spec."""' newline|'\n' name|'reconfig_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'session' op|'.' name|'vim' op|',' nl|'\n' string|'"ReconfigVM_Task"' op|',' name|'vm_ref' op|',' nl|'\n' name|'spec' op|'=' name|'config_spec' op|')' newline|'\n' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'reconfig_task' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|power_on_instance dedent|'' name|'def' name|'power_on_instance' op|'(' name|'session' op|',' name|'instance' op|',' name|'vm_ref' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Power on the specified instance."""' newline|'\n' nl|'\n' name|'if' name|'vm_ref' name|'is' name|'None' op|':' newline|'\n' indent|' ' name|'vm_ref' op|'=' name|'get_vm_ref' op|'(' name|'session' op|',' name|'instance' op|')' newline|'\n' nl|'\n' dedent|'' name|'LOG' op|'.' name|'debug' op|'(' string|'"Powering on the VM"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' name|'try' op|':' newline|'\n' indent|' ' name|'poweron_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' nl|'\n' name|'session' op|'.' name|'vim' op|',' nl|'\n' string|'"PowerOnVM_Task"' op|',' name|'vm_ref' op|')' newline|'\n' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'poweron_task' op|')' newline|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|'"Powered on the VM"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' dedent|'' name|'except' name|'vexc' op|'.' name|'InvalidPowerStateException' op|':' newline|'\n' indent|' ' name|'LOG' op|'.' name|'debug' op|'(' string|'"VM already powered on"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_vm_port_indices dedent|'' dedent|'' name|'def' name|'_get_vm_port_indices' op|'(' name|'session' op|',' name|'vm_ref' op|')' op|':' newline|'\n' indent|' ' name|'extra_config' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' nl|'\n' string|"'get_object_property'" op|',' nl|'\n' name|'vm_ref' op|',' nl|'\n' string|"'config.extraConfig'" op|')' newline|'\n' name|'ports' op|'=' op|'[' op|']' newline|'\n' name|'if' name|'extra_config' name|'is' name|'not' name|'None' op|':' newline|'\n' indent|' ' name|'options' op|'=' name|'extra_config' op|'.' name|'OptionValue' newline|'\n' name|'for' name|'option' name|'in' name|'options' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'option' op|'.' name|'key' op|'.' name|'startswith' op|'(' string|"'nvp.iface-id.'" op|')' name|'and' nl|'\n' name|'option' op|'.' name|'value' op|'!=' string|"'free'" op|')' op|':' newline|'\n' indent|' ' name|'ports' op|'.' name|'append' op|'(' name|'int' op|'(' name|'option' op|'.' name|'key' op|'.' name|'split' op|'(' string|"'.'" op|')' op|'[' number|'2' op|']' op|')' op|')' newline|'\n' dedent|'' dedent|'' dedent|'' name|'return' name|'ports' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_attach_port_index dedent|'' name|'def' name|'get_attach_port_index' op|'(' name|'session' op|',' name|'vm_ref' op|')' op|':' newline|'\n' indent|' ' string|'"""Get the first free port index."""' newline|'\n' name|'ports' op|'=' name|'_get_vm_port_indices' op|'(' name|'session' op|',' name|'vm_ref' op|')' newline|'\n' comment|'# No ports are configured on the VM' nl|'\n' name|'if' name|'not' name|'ports' op|':' newline|'\n' indent|' ' name|'return' number|'0' newline|'\n' dedent|'' name|'ports' op|'.' name|'sort' op|'(' op|')' newline|'\n' name|'configured_ports_len' op|'=' name|'len' op|'(' name|'ports' op|')' newline|'\n' comment|'# Find the first free port index' nl|'\n' name|'for' name|'port_index' name|'in' name|'range' op|'(' name|'configured_ports_len' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'port_index' op|'!=' name|'ports' op|'[' name|'port_index' op|']' op|':' newline|'\n' indent|' ' name|'return' name|'port_index' newline|'\n' dedent|'' dedent|'' name|'return' name|'configured_ports_len' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_vm_detach_port_index dedent|'' name|'def' name|'get_vm_detach_port_index' op|'(' name|'session' op|',' name|'vm_ref' op|',' name|'iface_id' op|')' op|':' newline|'\n' indent|' ' name|'extra_config' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' nl|'\n' string|"'get_object_property'" op|',' nl|'\n' name|'vm_ref' op|',' nl|'\n' string|"'config.extraConfig'" op|')' newline|'\n' name|'if' name|'extra_config' name|'is' name|'not' name|'None' op|':' newline|'\n' indent|' ' name|'options' op|'=' name|'extra_config' op|'.' name|'OptionValue' newline|'\n' name|'for' name|'option' name|'in' name|'options' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'option' op|'.' name|'key' op|'.' name|'startswith' op|'(' string|"'nvp.iface-id.'" op|')' name|'and' nl|'\n' name|'option' op|'.' name|'value' op|'==' name|'iface_id' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'int' op|'(' name|'option' op|'.' name|'key' op|'.' name|'split' op|'(' string|"'.'" op|')' op|'[' number|'2' op|']' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|power_off_instance dedent|'' dedent|'' dedent|'' dedent|'' name|'def' name|'power_off_instance' op|'(' name|'session' op|',' name|'instance' op|',' name|'vm_ref' op|'=' name|'None' op|')' op|':' newline|'\n' indent|' ' string|'"""Power off the specified instance."""' newline|'\n' nl|'\n' name|'if' name|'vm_ref' name|'is' name|'None' op|':' newline|'\n' indent|' ' name|'vm_ref' op|'=' name|'get_vm_ref' op|'(' name|'session' op|',' name|'instance' op|')' newline|'\n' nl|'\n' dedent|'' name|'LOG' op|'.' name|'debug' op|'(' string|'"Powering off the VM"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' name|'try' op|':' newline|'\n' indent|' ' name|'poweroff_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'session' op|'.' name|'vim' op|',' nl|'\n' string|'"PowerOffVM_Task"' op|',' name|'vm_ref' op|')' newline|'\n' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'poweroff_task' op|')' newline|'\n' name|'LOG' op|'.' name|'debug' op|'(' string|'"Powered off the VM"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' dedent|'' name|'except' name|'vexc' op|'.' name|'InvalidPowerStateException' op|':' newline|'\n' indent|' ' name|'LOG' op|'.' name|'debug' op|'(' string|'"VM already powered off"' op|',' name|'instance' op|'=' name|'instance' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|find_rescue_device dedent|'' dedent|'' name|'def' name|'find_rescue_device' op|'(' name|'hardware_devices' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' string|'"""Returns the rescue device.\n\n The method will raise an exception if the rescue device does not\n exist. The resuce device has suffix \'-rescue.vmdk\'.\n :param hardware_devices: the hardware devices for the instance\n :param instance: nova.objects.instance.Instance object\n :return: the rescue disk device object\n """' newline|'\n' name|'for' name|'device' name|'in' name|'hardware_devices' op|'.' name|'VirtualDevice' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDisk"' name|'and' nl|'\n' name|'device' op|'.' name|'backing' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' nl|'\n' string|"'VirtualDiskFlatVer2BackingInfo'" name|'and' nl|'\n' name|'device' op|'.' name|'backing' op|'.' name|'fileName' op|'.' name|'endswith' op|'(' string|"'-rescue.vmdk'" op|')' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'device' newline|'\n' nl|'\n' dedent|'' dedent|'' name|'msg' op|'=' name|'_' op|'(' string|"'Rescue device does not exist for instance %s'" op|')' op|'%' name|'instance' op|'.' name|'uuid' newline|'\n' name|'raise' name|'exception' op|'.' name|'NotFound' op|'(' name|'msg' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_ephemeral_name dedent|'' name|'def' name|'get_ephemeral_name' op|'(' name|'id' op|')' op|':' newline|'\n' indent|' ' name|'return' string|"'ephemeral_%d.vmdk'" op|'%' name|'id' newline|'\n' nl|'\n' nl|'\n' DECL|function|_detach_and_delete_devices_config_spec dedent|'' name|'def' name|'_detach_and_delete_devices_config_spec' op|'(' name|'client_factory' op|',' name|'devices' op|')' op|':' newline|'\n' indent|' ' name|'config_spec' op|'=' name|'client_factory' op|'.' name|'create' op|'(' string|"'ns0:VirtualMachineConfigSpec'" op|')' newline|'\n' name|'device_config_spec' op|'=' op|'[' op|']' newline|'\n' name|'for' name|'device' name|'in' name|'devices' op|':' newline|'\n' indent|' ' name|'virtual_device_config' op|'=' name|'client_factory' op|'.' name|'create' op|'(' nl|'\n' string|"'ns0:VirtualDeviceConfigSpec'" op|')' newline|'\n' name|'virtual_device_config' op|'.' name|'operation' op|'=' string|'"remove"' newline|'\n' name|'virtual_device_config' op|'.' name|'device' op|'=' name|'device' newline|'\n' name|'virtual_device_config' op|'.' name|'fileOperation' op|'=' string|'"destroy"' newline|'\n' name|'device_config_spec' op|'.' name|'append' op|'(' name|'virtual_device_config' op|')' newline|'\n' dedent|'' name|'config_spec' op|'.' name|'deviceChange' op|'=' name|'device_config_spec' newline|'\n' name|'return' name|'config_spec' newline|'\n' nl|'\n' nl|'\n' DECL|function|detach_devices_from_vm dedent|'' name|'def' name|'detach_devices_from_vm' op|'(' name|'session' op|',' name|'vm_ref' op|',' name|'devices' op|')' op|':' newline|'\n' indent|' ' string|'"""Detach specified devices from VM."""' newline|'\n' name|'client_factory' op|'=' name|'session' op|'.' name|'vim' op|'.' name|'client' op|'.' name|'factory' newline|'\n' name|'config_spec' op|'=' name|'_detach_and_delete_devices_config_spec' op|'(' nl|'\n' name|'client_factory' op|',' name|'devices' op|')' newline|'\n' name|'reconfigure_vm' op|'(' name|'session' op|',' name|'vm_ref' op|',' name|'config_spec' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_ephemerals dedent|'' name|'def' name|'get_ephemerals' op|'(' name|'session' op|',' name|'vm_ref' op|')' op|':' newline|'\n' indent|' ' name|'devices' op|'=' op|'[' op|']' newline|'\n' name|'hardware_devices' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' nl|'\n' string|'"get_object_property"' op|',' nl|'\n' name|'vm_ref' op|',' nl|'\n' string|'"config.hardware.device"' op|')' newline|'\n' nl|'\n' name|'if' name|'hardware_devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'hardware_devices' op|'.' name|'VirtualDevice' newline|'\n' nl|'\n' dedent|'' name|'for' name|'device' name|'in' name|'hardware_devices' op|':' newline|'\n' indent|' ' name|'if' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDisk"' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'device' op|'.' name|'backing' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' nl|'\n' string|'"VirtualDiskFlatVer2BackingInfo"' op|')' op|':' newline|'\n' indent|' ' name|'if' string|"'ephemeral'" name|'in' name|'device' op|'.' name|'backing' op|'.' name|'fileName' op|':' newline|'\n' indent|' ' name|'devices' op|'.' name|'append' op|'(' name|'device' op|')' newline|'\n' dedent|'' dedent|'' dedent|'' dedent|'' name|'return' name|'devices' newline|'\n' nl|'\n' nl|'\n' DECL|function|get_swap dedent|'' name|'def' name|'get_swap' op|'(' name|'session' op|',' name|'vm_ref' op|')' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|'"get_object_property"' op|',' nl|'\n' name|'vm_ref' op|',' string|'"config.hardware.device"' op|')' newline|'\n' nl|'\n' name|'if' name|'hardware_devices' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"ArrayOfVirtualDevice"' op|':' newline|'\n' indent|' ' name|'hardware_devices' op|'=' name|'hardware_devices' op|'.' name|'VirtualDevice' newline|'\n' nl|'\n' dedent|'' name|'for' name|'device' name|'in' name|'hardware_devices' op|':' newline|'\n' indent|' ' name|'if' op|'(' name|'device' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' string|'"VirtualDisk"' name|'and' nl|'\n' name|'device' op|'.' name|'backing' op|'.' name|'__class__' op|'.' name|'__name__' op|'==' nl|'\n' string|'"VirtualDiskFlatVer2BackingInfo"' name|'and' nl|'\n' string|"'swap'" name|'in' name|'device' op|'.' name|'backing' op|'.' name|'fileName' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'device' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_folder dedent|'' dedent|'' dedent|'' name|'def' name|'_get_folder' op|'(' name|'session' op|',' name|'parent_folder_ref' op|',' name|'name' op|')' op|':' newline|'\n' comment|'# Get list of child entities for the parent folder' nl|'\n' indent|' ' name|'prop_val' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'vutil' op|',' string|"'get_object_property'" op|',' nl|'\n' name|'parent_folder_ref' op|',' nl|'\n' string|"'childEntity'" op|')' newline|'\n' name|'if' name|'prop_val' op|':' newline|'\n' indent|' ' name|'child_entities' op|'=' name|'prop_val' op|'.' name|'ManagedObjectReference' newline|'\n' nl|'\n' comment|'# Return if the child folder with input name is already present' nl|'\n' name|'for' name|'child_entity' name|'in' name|'child_entities' op|':' newline|'\n' indent|' ' name|'if' name|'child_entity' op|'.' name|'_type' op|'!=' string|"'Folder'" op|':' newline|'\n' indent|' ' name|'continue' newline|'\n' dedent|'' name|'child_entity_name' op|'=' name|'vim_util' op|'.' name|'get_entity_name' op|'(' name|'session' op|',' name|'child_entity' op|')' newline|'\n' name|'if' name|'child_entity_name' op|'==' name|'name' op|':' newline|'\n' indent|' ' name|'return' name|'child_entity' newline|'\n' nl|'\n' nl|'\n' DECL|function|create_folder dedent|'' dedent|'' dedent|'' dedent|'' name|'def' name|'create_folder' op|'(' name|'session' op|',' name|'parent_folder_ref' op|',' name|'name' op|')' op|':' newline|'\n' indent|' ' string|'"""Creates a folder in vCenter\n\n A folder of \'name\' will be created under the parent folder.\n The moref of the folder is returned.\n """' newline|'\n' nl|'\n' name|'folder' op|'=' name|'_get_folder' op|'(' name|'session' op|',' name|'parent_folder_ref' op|',' name|'name' op|')' newline|'\n' name|'if' name|'folder' op|':' newline|'\n' indent|' ' name|'return' name|'folder' newline|'\n' dedent|'' name|'LOG' op|'.' name|'debug' op|'(' string|'"Creating folder: %(name)s. Parent ref: %(parent)s."' op|',' nl|'\n' op|'{' string|"'name'" op|':' name|'name' op|',' string|"'parent'" op|':' name|'parent_folder_ref' op|'.' name|'value' op|'}' op|')' newline|'\n' name|'try' op|':' newline|'\n' indent|' ' name|'folder' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'session' op|'.' name|'vim' op|',' string|'"CreateFolder"' op|',' nl|'\n' name|'parent_folder_ref' op|',' name|'name' op|'=' name|'name' op|')' newline|'\n' name|'LOG' op|'.' name|'info' op|'(' name|'_LI' op|'(' string|'"Created folder: %(name)s in parent %(parent)s."' op|')' op|',' nl|'\n' op|'{' string|"'name'" op|':' name|'name' op|',' string|"'parent'" op|':' name|'parent_folder_ref' op|'.' name|'value' op|'}' op|')' newline|'\n' dedent|'' name|'except' name|'vexc' op|'.' name|'DuplicateName' name|'as' name|'e' op|':' newline|'\n' indent|' ' name|'LOG' op|'.' name|'debug' op|'(' string|'"Folder already exists: %(name)s. Parent ref: %(parent)s."' op|',' nl|'\n' op|'{' string|"'name'" op|':' name|'name' op|',' string|"'parent'" op|':' name|'parent_folder_ref' op|'.' name|'value' op|'}' op|')' newline|'\n' name|'val' op|'=' name|'e' op|'.' name|'details' op|'[' string|"'object'" op|']' newline|'\n' name|'folder' op|'=' name|'vutil' op|'.' name|'get_moref' op|'(' name|'val' op|',' string|"'Folder'" op|')' newline|'\n' dedent|'' name|'return' name|'folder' newline|'\n' nl|'\n' nl|'\n' DECL|function|folder_ref_cache_update dedent|'' name|'def' name|'folder_ref_cache_update' op|'(' name|'path' op|',' name|'folder_ref' op|')' op|':' newline|'\n' indent|' ' name|'_FOLDER_PATH_REF_MAPPING' op|'[' name|'path' op|']' op|'=' name|'folder_ref' newline|'\n' nl|'\n' nl|'\n' DECL|function|folder_ref_cache_get dedent|'' name|'def' name|'folder_ref_cache_get' op|'(' name|'path' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'_FOLDER_PATH_REF_MAPPING' op|'.' name|'get' op|'(' name|'path' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|function|_get_vm_name dedent|'' name|'def' name|'_get_vm_name' op|'(' name|'display_name' op|',' name|'id' op|')' op|':' newline|'\n' indent|' ' name|'if' name|'display_name' op|':' newline|'\n' indent|' ' name|'return' string|"'%s (%s)'" op|'%' op|'(' name|'display_name' op|'[' op|':' number|'41' op|']' op|',' name|'id' op|'[' op|':' number|'36' op|']' op|')' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'return' name|'id' op|'[' op|':' number|'36' op|']' newline|'\n' nl|'\n' nl|'\n' DECL|function|rename_vm dedent|'' dedent|'' name|'def' name|'rename_vm' op|'(' name|'session' op|',' name|'vm_ref' op|',' name|'instance' op|')' op|':' newline|'\n' indent|' ' name|'vm_name' op|'=' name|'_get_vm_name' op|'(' name|'instance' op|'.' name|'display_name' op|',' name|'instance' op|'.' name|'uuid' op|')' newline|'\n' name|'rename_task' op|'=' name|'session' op|'.' name|'_call_method' op|'(' name|'session' op|'.' name|'vim' op|',' string|'"Rename_Task"' op|',' name|'vm_ref' op|',' nl|'\n' name|'newName' op|'=' name|'vm_name' op|')' newline|'\n' name|'session' op|'.' name|'_wait_for_task' op|'(' name|'rename_task' op|')' newline|'\n' dedent|'' endmarker|'' end_unit

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0.104629

126,093

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null

0

1

0

5

d641267f1da2f161fcc3ad9b70e4224131cfb7f9

17

py

Python

reddit2telegram/channels/r_wholesomememes/__init__.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/r_wholesomememes/__init__.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/r_wholesomememes/__init__.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

# Just empty file

17

0.764706

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null

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1

0

1

0

null

0

1

0

5

d658802a5d1fbddcb60df662bb239b9e03f9b686

35

py

Python

modules/2.79/bpy/types/TextureNodeTree.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/TextureNodeTree.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/TextureNodeTree.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

class TextureNodeTree: pass

5.833333

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null

0

1

0

null

0

1

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5

c399048bce7f8156df7d8bb7911313dfca4f5794

1,647

py

Python

functions.py

oza75/Hangman-game-python

6f7c48d02eaea38a4103c28b1f1479c36093ee0d

[ "MIT" ]

null

functions.py

oza75/Hangman-game-python

6f7c48d02eaea38a4103c28b1f1479c36093ee0d

[ "MIT" ]

null

functions.py

oza75/Hangman-game-python

6f7c48d02eaea38a4103c28b1f1479c36093ee0d

[ "MIT" ]

null

""" Cet module contiendra toutes les fonctions dont nous aurons besoin """ #------------------------------------------------------------ # @author Aboubacar Ouattara # @copyright All rights reserved #------------------------------------------------------------ from colored import fg,bg,attr import os #------------------------------------------------------------ # Cette fonction permet d'afficher un message avec couleur #------------------------------------------------------------ def printMessage(message,color="white",background=0,reset=0): if background != 0: print("%s%s %s %s" %(fg(color), bg(background), message,attr(reset))) else: print("%s %s %s" %(fg(color), message,attr(reset))) #------------------------------------------------------------ # Cette fonction permet de nettoyer le terminal #------------------------------------------------------------ def clearTerminal(): os.system("cls" if os.name=="nt" else "clear") #------------------------------------------------------------ # Cette fonction affiche le PENDU #------------------------------------------------------------ def hanged(): printMessage("\n PENDU! ",196) printMessage("\n ____________", 196); printMessage(" | // |",196); printMessage(" |// |",196); printMessage(" |/ (_)",196); printMessage(" | |",196); printMessage(" | /|\\",196); printMessage(" | |",196); printMessage(" | / \\",196); printMessage(" /|\\",196); printMessage(" / | \\",196); printMessage("#####################\n",196);

37.431818

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0.394657

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1,647

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0.254317

0.423862

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0.235479

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0.028846

0.179114

1,647

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0.272727

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1

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null

0

1

0

5

c3b190e6e472ff9772d1f729e8b64aace10f62ba

207

py

Python

pysm/models/__init__.py

NicolettaK/pysm

a0eb491c221507f484f496179c2c56e8e89dfaa5

[ "BSD-3-Clause" ]

null

pysm/models/__init__.py

NicolettaK/pysm

a0eb491c221507f484f496179c2c56e8e89dfaa5

[ "BSD-3-Clause" ]

1

2021-07-14T20:48:15.000Z

pysm/models/__init__.py

NicolettaK/pysm

a0eb491c221507f484f496179c2c56e8e89dfaa5

[ "BSD-3-Clause" ]

1

2021-07-15T11:38:38.000Z

from .dust import ModifiedBlackBody, DecorrelatedModifiedBlackBody from .power_law import PowerLaw from .template import Model, read_map, apply_smoothing, mpi_smoothing from .spdust import SpDust, SpDustPol

41.4

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0.68

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207

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51.75

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null

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1

0

1

0

5

c3c06267bf04bebd535d820b0e991244e5b54a1a

174

py

Python

maestral/config/__init__.py

LyzardKing/maestral-dropbox

c1b030de85b69f8867b6a8a6564921f5e851aa1c

[ "MIT" ]

1

2021-02-06T11:26:01.000Z

maestral/config/__init__.py

LyzardKing/maestral-dropbox

c1b030de85b69f8867b6a8a6564921f5e851aa1c

[ "MIT" ]

null

maestral/config/__init__.py

LyzardKing/maestral-dropbox

c1b030de85b69f8867b6a8a6564921f5e851aa1c

[ "MIT" ]

null

from .base import get_conf_path, list_configs from .main import MaestralConfig, MaestralState __all__ = ['get_conf_path', 'list_configs', 'MaestralConfig', 'MaestralState']

34.8

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0.341085

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174

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1

0

null

0

1

0

1

0

5

4ee436498816a747403ea92be6538e09f8e449d1

200

py

Python

tikzpy/tikz_environments/tikz_command.py

ltrujello/Tikz-Python

2fddcbde5f94074cb9c492f0f721c99a7fc6c2a4

[ "MIT" ]

4

2021-04-19T09:00:02.000Z

2022-03-20T09:39:04.000Z

tikzpy/tikz_environments/tikz_command.py

ltrujello/Tikz-Python

2fddcbde5f94074cb9c492f0f721c99a7fc6c2a4

[ "MIT" ]

null

tikzpy/tikz_environments/tikz_command.py

ltrujello/Tikz-Python

2fddcbde5f94074cb9c492f0f721c99a7fc6c2a4

[ "MIT" ]

null

class TikzCommand: """A class to handle manually typed Tikz code. """ def __init__(self, code: str) -> None: self.code = code def __repr__(self) -> str: return self.code

22.222222

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200

4.346154

0.615385

0.212389

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200

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1

0

1

0

null

0

1

0

1

0

5

f6166fa67b80444b97017b2b0d27d2da7e5d43e9

142

py

Python

django_inventory/apps/photos/admin.py

alka653/inventory

b8fc944962666652189ff73ae53b1c2194553e02

[ "Apache-2.0" ]

null

django_inventory/apps/photos/admin.py

alka653/inventory

b8fc944962666652189ff73ae53b1c2194553e02

[ "Apache-2.0" ]

null

django_inventory/apps/photos/admin.py

alka653/inventory

b8fc944962666652189ff73ae53b1c2194553e02

[ "Apache-2.0" ]

1

2020-06-08T11:57:08.000Z

from __future__ import absolute_import from django.contrib import admin from .models import GenericPhoto admin.site.register(GenericPhoto)

17.75

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0.84507

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142

6.388889

0.611111

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0.112676

142

7

39

20.285714

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0

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null

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null

0

1

0

1

0

1

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5

f65d5e6d6e047c247d56ca6c8f223ae24d7cf2c2

2,740

py

Python

MNIST/neural_test.py

necoleman/DataProjects

54ed57ef1bcef3749969cbbdf5aa5b4b4675ab34

[ "MIT" ]

null

MNIST/neural_test.py

necoleman/DataProjects

54ed57ef1bcef3749969cbbdf5aa5b4b4675ab34

[ "MIT" ]

null

MNIST/neural_test.py

necoleman/DataProjects

54ed57ef1bcef3749969cbbdf5aa5b4b4675ab34

[ "MIT" ]

null

import numpy as np import neural_net def initializeTraining(): zero = np.array([1.,1.,1.,1.,1., 1.,0.,0.,0.,1., 1.,0.,0.,0.,1., 1.,0.,0.,0.,1., 1.,1.,1.,1.,1.]) one = np.array([0.,0.,1.,0.,0., 0.,0.,1.,0.,0., 0.,0.,1.,0.,0., 0.,0.,1.,0.,0., 0.,0.,1.,0.,0.]) two = np.array([1.,1.,1.,1.,1., 0.,0.,0.,0.,1., 1.,1.,1.,1.,1., 1.,0.,0.,0.,0., 1.,1.,1.,1.,1.]) three = np.array([1.,1.,1.,1.,1., 0.,0.,0.,0.,1., 1.,1.,1.,1.,1., 0.,0.,0.,0.,1., 1.,1.,1.,1.,1.]) four = np.array([1.,0.,0.,0.,1., 1.,0.,0.,0.,1., 1.,1.,1.,1.,1., 0.,0.,0.,0.,1., 0.,0.,0.,0.,1.]) five = np.array([1.,1.,1.,1.,1., 1.,0.,0.,0.,0., 1.,1.,1.,1.,1., 0.,0.,0.,0.,1., 1.,1.,1.,1.,1.]) six = np.array([1.,1.,1.,1.,1., 1.,0.,0.,0.,0., 1.,1.,1.,1.,1., 1.,0.,0.,0.,1., 1.,1.,1.,1.,1.]) seven = np.array([1.,1.,1.,1.,1., 0.,0.,0.,0.,1., 0.,0.,0.,0.,1., 0.,0.,0.,0.,1., 0.,0.,0.,0.,1.]) eight = np.array([1.,1.,1.,1.,1., 1.,0.,0.,0.,1., 1.,1.,1.,1.,1., 1.,0.,0.,0.,1., 1.,1.,1.,1.,1.]) nine = np.array([1.,1.,1.,1.,1., 1.,0.,0.,0.,1., 1.,1.,1.,1.,1., 0.,0.,0.,0.,1., 1.,1.,1.,1.,1.]) return [zero,one,two,three,four,five,six,seven,eight,nine] def initializeTesting(): three = np.array([0.5,1.,1.,1.,0.7, 0.,0.,0.,0.5,1., 0.,1.,1.,1.,1., 0.,0.,0.,0.3,1., 1.,1.,1.,1.,0.6]) return three if __name__ == '__main__': print "This is a test of the neural_net.py classes." numlist = initializeTraining() test = initializeTesting() training_data = [] #print numlist for k in range(len(numlist)): train = numlist[k] output = np.zeros(10) output[k] = 1. training_data.append( (train,output) ) N = neural_net.Network(3,25,10,0.1) print N.predict( training_data[0][1] ) #N.train(training_data) test_data = test print test.shape print test print N.predict(test_data)

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9cab8be4076e7e1465fcae80cfe6390f959a38ac

168

py

Python

anime/admin.py

AniLite/API-v1.2

261625eb5918707f1a7ce74ae87b4db29fc002cc

[ "MIT" ]

2

2021-09-29T17:37:58.000Z

2021-09-29T18:10:14.000Z

anime/admin.py

AniLite/AniLite-API-v1.2

261625eb5918707f1a7ce74ae87b4db29fc002cc

[ "MIT" ]

null

anime/admin.py

AniLite/AniLite-API-v1.2

261625eb5918707f1a7ce74ae87b4db29fc002cc

[ "MIT" ]

null

from anime.models import Anime, Character, Genre from django.contrib import admin admin.site.register(Genre) admin.site.register(Anime) admin.site.register(Character)

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141f3bea2facfc4ee8b6312c1df5bcb0f48d271d

113

py

Python

tests/parser/choice.19.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/choice.19.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/choice.19.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ x | a | b | y. :- not a. :- not b. """ output = """ x | a | b | y. :- not a. :- not b. """

8.692308

15

0.309735

18

113

1.944444

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1

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null

0

5

143db5c4f92a6788364e35173f2a5c926a797bad

183

py

Python

widgets/__init__.py

WilfriedMercier/Sphere

69f2df96cbd6d887c029ff54a81e2db8b014450f

[ "MIT" ]

2

2020-10-18T19:57:38.000Z

2020-10-19T16:16:40.000Z

widgets/__init__.py

WilfriedMercier/Sphere

69f2df96cbd6d887c029ff54a81e2db8b014450f

[ "MIT" ]

1

2020-10-19T12:06:46.000Z

2020-10-19T12:17:42.000Z

widgets/__init__.py

WilfriedMercier/Sphere

69f2df96cbd6d887c029ff54a81e2db8b014450f

[ "MIT" ]

1

2020-10-18T21:41:54.000Z

from .tab import Tab from .plotWindow import PlotWindow from .configWindow import ConfigWindow from .validate import Validate from .entry import Entry

30.5

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183

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5

14411653000976cb8910a0330678028107147db8

701

py

Python

tests/decisions/k13_test.py

benoitc/pywebmachine

ee32a61e0dbcd89bc04391554968bd0b43f4c1cd

[ "MIT" ]

5

2015-03-29T03:20:10.000Z

2020-01-21T11:07:47.000Z

tests/decisions/k13_test.py

benoitc/pywebmachine

ee32a61e0dbcd89bc04391554968bd0b43f4c1cd

[ "MIT" ]

null

tests/decisions/k13_test.py

benoitc/pywebmachine

ee32a61e0dbcd89bc04391554968bd0b43f4c1cd

[ "MIT" ]

1

2015-07-18T03:26:39.000Z

import t class k13(t.Test): class TestResource(t.Resource): def generate_etag(self, req, rsp): return 'foo' def resource_exists(self, req, rsp): return True def to_html(self, req, rsp): return 'bar' def test_etag_match(self): self.req.headers['if-none-match'] = 'foo' self.go() t.eq(self.rsp.status, '304 Not Modified') t.eq(self.rsp.etag, 'foo') t.eq(self.rsp.body, '') def test_modified(self): self.req.headers['if-none-match'] = 'bar' self.go() t.eq(self.rsp.status, '200 OK') t.eq(self.rsp.etag, 'foo') t.eq(self.rsp.body, 'bar')

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701

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0.142857

0.52381

0

null

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1

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null

0

1

0

1

0

5

1488c9968924529c312b5b742c0383944a69dcd8

94

py

Python

tests/test_noop.py

chartbeat/django-two-factor-auth

5d52f6d221fc7a3353cd8cbaf4d057387f88e029

[ "MIT" ]

null

tests/test_noop.py

chartbeat/django-two-factor-auth

5d52f6d221fc7a3353cd8cbaf4d057387f88e029

[ "MIT" ]

null

tests/test_noop.py

chartbeat/django-two-factor-auth

5d52f6d221fc7a3353cd8cbaf4d057387f88e029

[ "MIT" ]

null

from django.test import TestCase class TestNoop(TestCase): def test(self): pass

13.428571

32

0.680851

12

94

5.333333

0.833333

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94

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false

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