xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

4e0d346534f0cd20c64f85f0fdb70567bfe1e8d7

354

py

Python

Aulas/Aula1_print.py

alessonsousa/Python3

49600ff4368f999c0fb608c796e2d11942edf09f

[ "MIT" ]

null

Aulas/Aula1_print.py

alessonsousa/Python3

49600ff4368f999c0fb608c796e2d11942edf09f

[ "MIT" ]

null

Aulas/Aula1_print.py

alessonsousa/Python3

49600ff4368f999c0fb608c796e2d11942edf09f

[ "MIT" ]

null

#Para mostra qualquer coisa na tela, Você usa o print() print('Alesson', 'Sousa', sep='_')# O função sep='-' fala para o print o que colocar para separa os nome print('Alesson', 'Sousa', sep='_', end='\n')#esse end='' é para fala o que vc quer no final da linha do print #Exemplo #123.456.789-00 print('123','456','789', sep='.', end='-') print('00')

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4e15cecc08b1cde9ac107937e12fe6ec9240cb6d

190

py

Python

api/suids/urls.py

CenterForOpenScience/SHARE

c7715af2881f6fa23197d4e7c381d90169a90ed1

[ "Apache-2.0" ]

87

2015-01-06T18:24:45.000Z

2021-08-08T07:59:40.000Z

api/suids/urls.py

fortress-biotech/SHARE

9c5a05dd831447949fa6253afec5225ff8ab5d4f

[ "Apache-2.0" ]

442

2015-01-01T19:16:01.000Z

2022-03-30T21:10:26.000Z

api/suids/urls.py

fortress-biotech/SHARE

9c5a05dd831447949fa6253afec5225ff8ab5d4f

[ "Apache-2.0" ]

67

2015-03-10T16:32:58.000Z

2021-11-12T16:33:41.000Z

from rest_framework.routers import SimpleRouter from api.suids import views router = SimpleRouter() router.register(r'suids', views.SuidViewSet, basename='suid') urlpatterns = router.urls

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4e269250407fa19774fcf1e0e1854392032b9961

569

py

Python

pyrecard/subscription/plan.py

DiegoMagg/pyrecard

4a7adc0342703b4eae6c42eabd2f7cd5e1a4d10f

[ "MIT" ]

6

2020-09-03T12:56:49.000Z

2020-09-03T13:28:31.000Z

pyrecard/subscription/plan.py

DiegoMagg/pyrecard

4a7adc0342703b4eae6c42eabd2f7cd5e1a4d10f

[ "MIT" ]

4

2020-08-25T15:28:54.000Z

2020-08-31T17:08:13.000Z

pyrecard/subscription/plan.py

DiegoMagg/pyrecard

4a7adc0342703b4eae6c42eabd2f7cd5e1a4d10f

[ "MIT" ]

null

from pyrecard.utils.pyrequest import pyrequest PLAN_PATH = '/assinaturas/v1/plans' def create(json): return pyrequest('POST', PLAN_PATH, json) def alter(plan_code, json): return pyrequest('PUT', f'{PLAN_PATH}/{plan_code}', json) def activate(plan_code): return pyrequest('PUT', f'{PLAN_PATH}/{plan_code}/activate') def inactivate(plan_code): return pyrequest('PUT', f'{PLAN_PATH}/{plan_code}/inactivate') def fetch(plan_code): return pyrequest('GET', f'{PLAN_PATH}/{plan_code}') def fetch_all(): return pyrequest('GET', PLAN_PATH)

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4e363f620d0dd72062004bc406ce4122903589f9

7,414

py

Python

socialdistribution/api/adapters.py

CMPUT404-F21T0/CMPUT404-Project-BetterSocial

04a621915108a434d50e900165cefdb0d4cca45c

[ "Apache-2.0" ]

null

socialdistribution/api/adapters.py

CMPUT404-F21T0/CMPUT404-Project-BetterSocial

04a621915108a434d50e900165cefdb0d4cca45c

[ "Apache-2.0" ]

2

2021-10-29T20:18:57.000Z

2021-12-04T14:57:34.000Z

socialdistribution/api/adapters.py

CMPUT404-F21T0/CMPUT404-Project-BetterSocial

04a621915108a434d50e900165cefdb0d4cca45c

[ "Apache-2.0" ]

null

from typing import Dict, Union, Optional from uuid import UUID import requests from requests.auth import HTTPBasicAuth from yarl import URL class BaseAdapter: """Default handlers for a given node connection. Methods should be overridden for each team, as needed.""" def __init__(self) -> None: super().__init__() self.session = requests.session() self.session.headers['Accept'] = 'application/json' def post_inbox_item(self, request, *args, **kwargs): return request def send_to_inbox(self, node, author_uuid: Union[str, UUID], post_json: Dict, *args, **kwargs) -> requests.Response: return self.session.post( self.get_inbox_url(node, author_uuid), auth = HTTPBasicAuth(node.node_username, node.node_password), json = post_json ) def get_author(self, node, author_uuid: Union[str, UUID], *args, **kwargs) -> requests.Response: return self.session.get( self.get_author_url(node, author_uuid), auth = HTTPBasicAuth(node.node_username, node.node_password) ) def get_authors(self, node, *args, **kwargs) -> requests.Response: return self.session.get( self.get_authors_url(node), params = { 'size': 1000 }, headers = { 'Accept': 'application/json' }, auth = HTTPBasicAuth(node.node_username, node.node_password) ) def shape_author(self, node, author_uuid: Union[str, UUID], response: requests.Response, *args, **kwargs) -> Optional[Dict]: if response.ok: return response.json() else: return None def shape_authors(self, node, response: requests.Response, *args, **kwargs) -> Optional[Dict]: if response.ok: return response.json() else: return None def get_author_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs) -> str: if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid / '').human_repr() def get_authors_url(self, node, *args, **kwargs) -> str: return (URL(node.host) / node.prefix / 'authors' / '').human_repr() def get_followers(self, node, author_uuid: Union[str, UUID], *args, **kwargs): if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return self.session.get( self.get_followers_url(node, author_uuid), auth = HTTPBasicAuth(node.node_username, node.node_password) ) def get_followers_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs) -> str: if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid / 'followers' / '').human_repr() def send_friend_request(self, node, author_uuid: Union[str, UUID], follower_json: Dict, *args, **kwargs): return self.session.post( self.get_inbox_url(node, author_uuid), auth = HTTPBasicAuth(node.node_username, node.node_password), json = follower_json ) def get_inbox_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs): if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid / 'inbox' / '').human_repr() def remove_follower(self, node, author_uuid: Union[str, UUID], user_uuid: Union[str, UUID], *args, **kwargs): return self.session.delete( self.get_follower_url(node, author_uuid, user_uuid), auth = HTTPBasicAuth(node.node_username, node.node_password) ) def get_follower_url(self, node, author_uuid: Union[str, UUID], user_uuid: Union[str, UUID], *args, **kwargs) -> str: if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) if isinstance(user_uuid, UUID): user_uuid = str(user_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid / 'follower' / user_uuid / '').human_repr() def get_posts(self, node, author_uuid: Union[str, UUID], *args, **kwargs): if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return requests.get( self.get_posts_url(node, author_uuid, include_slash = True), headers = { 'Accept': 'application/json' }, auth = HTTPBasicAuth(node.node_username, node.node_password) # Shouldn't need but in case ) def get_posts_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs): url = URL(node.host) / node.prefix / 'author' / str(author_uuid) / 'posts' if kwargs.get('include_slash') and kwargs['include_slash'] == True: url /= '' return url.human_repr() class Team1Adapter(BaseAdapter): pass class Team4Adapter(BaseAdapter): def get_author_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs) -> str: if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid).human_repr() def get_followers_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs) -> str: if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid / 'followers').human_repr() def get_follower_url(self, node, author_uuid: Union[str, UUID], user_uuid: Union[str, UUID], *args, **kwargs) -> str: if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) if isinstance(user_uuid, UUID): user_uuid = str(user_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid / 'follower' / user_uuid).human_repr() def get_inbox_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs): if isinstance(author_uuid, UUID): author_uuid = str(author_uuid) return (URL(node.host) / node.prefix / 'author' / author_uuid / 'inbox').human_repr() def get_posts_url(self, node, author_uuid: Union[str, UUID], *args, **kwargs): return super().get_posts_url(node, author_uuid, *args, include_slash = False) class Team7Adapter(BaseAdapter): def shape_author(self, node, author_uuid: Union[str, UUID], *args, **kwargs) -> Optional[Dict]: response = super().get_author(node, author_uuid, *args, **kwargs) if response.ok: if node.host in response.json()['id']: return response.json() else: return None def shape_authors(self, node, *args, **kwargs) -> Optional[Dict]: response = super().get_authors(node, *args, **kwargs) if response.ok: output_json = response.json() new_items = list() for item in output_json['items']: if node.host in item['id']: new_items.append(item) output_json['items'] = new_items return output_json # A global list of adapters that are tied to nodes via the database. registered_adapters: Dict[str, BaseAdapter] = { 'default': BaseAdapter(), 'team_1': Team1Adapter(), 'team_4': Team4Adapter(), 'team_7': Team7Adapter(), }

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1

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3

9d84b7b6381a6f3c016023bcfd74caa6a922fa9b

625

py

Python

tests/test_jupyter_integration.py

boeddeker/graphviz

acf79bca4518781cad02c102e89ec4e9ce757088

[ "MIT" ]

null

tests/test_jupyter_integration.py

boeddeker/graphviz

acf79bca4518781cad02c102e89ec4e9ce757088

[ "MIT" ]

null

tests/test_jupyter_integration.py

boeddeker/graphviz

acf79bca4518781cad02c102e89ec4e9ce757088

[ "MIT" ]

null

import pytest from graphviz import jupyter_integration def test_get_jupyter_format_mimetype_invalid_raises_unknown(): with pytest.raises(ValueError, match=r'unknown'): jupyter_integration.get_jupyter_format_mimetype('Brian!') def test_get_jupyter_mimetype_format_normalizes(): assert jupyter_integration.get_jupyter_mimetype_format( jupyter_integration.get_jupyter_format_mimetype('jpg')) == 'jpeg' def test_get_jupyter_mimetype_format_raises_unsupported(): with pytest.raises(ValueError, match='unsupported'): jupyter_integration.get_jupyter_mimetype_format('A boy called Brian!')

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1

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3

9d874b69262d199893f7832d8c3dfc78745d2cab

544

py

Python

sarsa.py

lukaspestalozzi/URLNN-Project2

425d3a14f063d91ae4b6183aa866fa074dc1d791

[ "MIT" ]

null

sarsa.py

lukaspestalozzi/URLNN-Project2

425d3a14f063d91ae4b6183aa866fa074dc1d791

[ "MIT" ]

null

sarsa.py

lukaspestalozzi/URLNN-Project2

425d3a14f063d91ae4b6183aa866fa074dc1d791

[ "MIT" ]

null

import mountaincar as mc import numpy as np from collections import namedtuple from collections import defaultdict import matplotlib.pylab as plb import matplotlib.pyplot as plt from time import time State = namedtuple('State', ['x', 'v']) class SarsaMountainCar(object): def __init__(self, learning_rate=0.1, reward_factor=0.95, eligibility_decay=0.7): self.learning_rate = learning_rate self.reward_factor = reward_factor self.eligibility_decay = eligibility_decay def _vizualize(self): pass

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null

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0

1

0

3

9d9d2695df7ed5d007311b6af26fc83339dd2f8b

526

py

Python

src/test/python/loader_native.py

dlech/xlang

ace2c924cc1fbecd05804866e183124cbb73bd48

[ "MIT" ]

null

src/test/python/loader_native.py

dlech/xlang

ace2c924cc1fbecd05804866e183124cbb73bd48

[ "MIT" ]

null

src/test/python/loader_native.py

dlech/xlang

ace2c924cc1fbecd05804866e183124cbb73bd48

[ "MIT" ]

1

2022-01-23T06:01:40.000Z

import sys sys.path.append("./generated") sys.path.append("../../package/pywinrt/projection/pywinrt") import _winrt _winrt.init_apartment(_winrt.MTA) def import_ns(ns): import importlib.machinery import importlib.util module_name = "_winrt_" + ns.replace('.', '_') loader = importlib.machinery.ExtensionFileLoader(module_name, _winrt.__file__) spec = importlib.util.spec_from_loader(module_name, loader) module = importlib.util.module_from_spec(spec) loader.exec_module(module) return module

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526

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null

0

1

0

1

0

3

9da16db4956d4af0439ae0a5ca6c02568b1d609f

53,171

py

Python

src/pytris.py

CSID-DGU/2019-2-OSSPC-MDJ-1

2987e11b65bc9e31a30cadd39eea4214e2261998

[ "MIT" ]

1

2019-09-24T04:55:29.000Z

src/pytris.py

CSID-DGU/2019-2-OSSPC-MDJ-1

2987e11b65bc9e31a30cadd39eea4214e2261998

[ "MIT" ]

null

src/pytris.py

CSID-DGU/2019-2-OSSPC-MDJ-1

2987e11b65bc9e31a30cadd39eea4214e2261998

[ "MIT" ]

7

2019-09-24T05:14:24.000Z

2019-12-10T04:15:28.000Z

#!/usr/bin/env python # coding: utf-8 import pygame import operator from mino import * from random import * from pygame.locals import * from ui import * from screeninfo import get_monitors from pygame.surface import Surface import sys from function import * #화면크기 조정 screen_width = 0 screen_height = 0 for m in get_monitors(): screen_width = int(m.width*0.7) screen_height = int(m.height*0.7) # Define block_size = 25 width = 10 # Board width height = 20 # Board height framerate = 30 # Bigger -> Slower framerate_n = 30 pygame.init() size = [screen_width, screen_height] clock = pygame.time.Clock() screen = pygame.display.set_mode(size) pygame.time.set_timer(pygame.USEREVENT, framerate * 10) pygame.time.set_timer(pygame.USEREVENT, framerate_n * 10) pygame.display.set_caption("ACOTRIS™") background_file = '../assets/images/backgroundimage.png' # draw single board def draw_single_board(next, hold, score, level, goal, matrix): screen.fill(ui_variables.black) background_image_alpha(screen, background_file,screen_width, screen_height) # Draw next mino grid_n = tetrimino.mino_map[next - 1][0] for i in range(4): for j in range(4): dx = screen_width*0.692 + block_size * j dy = screen_height*0.22 + block_size * i if grid_n[i][j] != 0: pygame.draw.rect( screen, ui_variables.t_color[grid_n[i][j]], Rect(dx, dy, block_size*0.9, block_size*0.9) ) # Draw hold mino grid_h = tetrimino.mino_map[hold - 1][0] if hold_mino != -1: for i in range(4): for j in range(4): dx = screen_width*0.252 + block_size * j dy = screen_height*0.22 + block_size * i if grid_h[i][j] != 0: pygame.draw.rect( screen, ui_variables.t_color[grid_h[i][j]], Rect(dx, dy, block_size*0.9, block_size*0.9) ) # Set max score if score > 999999: score = 999999 # Draw texts text_hold = ui_variables.DG_v_small.render("HOLD", 1, ui_variables.white) text_next = ui_variables.DG_v_small.render("NEXT", 1, ui_variables.white) text_score = ui_variables.DG_v_small.render("SCORE", 1, ui_variables.white) score_value = ui_variables.DG_v_small.render(str(score), 1, ui_variables.white) text_level = ui_variables.DG_v_small.render("LEVEL", 1, ui_variables.white) level_value = ui_variables.DG_v_small.render(str(level), 1, ui_variables.white) text_goal = ui_variables.DG_v_small.render("GOAL", 1, ui_variables.white) goal_value = ui_variables.DG_v_small.render(str(goal), 1, ui_variables.white) aco = ui_variables.DG_v_small.render("ACO level", 1, ui_variables.white) screen.blit(text_hold, (screen_width*0.25, screen_height*0.15)) screen.blit(text_level, (screen_width*0.25, screen_height*0.35)) screen.blit(level_value, (screen_width*0.25, screen_height*0.4)) screen.blit(text_goal, (screen_width*0.25, screen_height*0.65)) screen.blit(goal_value, (screen_width*0.25, screen_height*0.7)) screen.blit(text_next, (screen_width*0.69, screen_height*0.15)) screen.blit(aco, (screen_width*0.69, screen_height*0.35)) screen.blit(text_score, (screen_width*0.69, screen_height*0.65)) screen.blit(score_value, (screen_width*0.69, screen_height*0.7))\ # 플레이 화면에 아코 사진 aco_level(level, int(screen_width*0.68), int(screen_height*0.41)) # Draw board for x in range(width): for y in range(height): dx = screen_width*0.4 + block_size * x dy = screen_height*0.1 + block_size * y draw_block(screen,dx, dy, ui_variables.t_color[matrix[x][y + 1]], block_size) def draw_multi_board_1(next, hold_n, score, level, goal, matrix_n): # Draw next mino_player1 grid_n = tetrimino.mino_map[next - 1][0] for x in range(4): for y in range(4): dx = screen_width*0.39 + block_size * 0.72 * y dy = screen_height*0.23 + block_size * 0.72 * x if grid_n[x][y] != 0: pygame.draw.rect( screen, ui_variables.t_color[grid_n[x][y]], Rect(dx, dy, block_size * 0.7, block_size * 0.7) ) # Draw hold mino_player1 grid_h = tetrimino.mino_map[hold_n - 1][0] if hold_mino_n != -1: for x in range(4): for y in range(4): dx = screen_width*0.095 + block_size * 0.72 * y dy = screen_height*0.23 + block_size * 0.72 * x if grid_h[x][y] != 0: pygame.draw.rect( screen, ui_variables.t_color[grid_h[x][y]], Rect(dx, dy, block_size * 0.7, block_size * 0.7) ) # Set max score if score > 999999: score = 999999 # Draw texts text_hold = ui_variables.DG_v_small.render("HOLD", 1, ui_variables.white) text_next = ui_variables.DG_v_small.render("NEXT", 1, ui_variables.white) text_score = ui_variables.DG_v_small.render("SCORE", 1, ui_variables.white) score_value = ui_variables.DG_v_small.render(str(score), 1, ui_variables.white) text_level = ui_variables.DG_v_small.render("LEVEL", 1, ui_variables.white) level_value = ui_variables.DG_v_small.render(str(level), 1, ui_variables.white) text_goal = ui_variables.DG_v_small.render("GOAL", 1, ui_variables.white) goal_value = ui_variables.DG_v_small.render(str(goal), 1, ui_variables.white) # Place texts for player1 screen.blit(text_hold, (screen_width*0.091, screen_height*0.15)) screen.blit(text_level, (screen_width*0.083, screen_height*0.43)) screen.blit(level_value, (screen_width*0.11, screen_height*0.48)) screen.blit(text_goal, (screen_width*0.092, screen_height*0.7)) screen.blit(goal_value, (screen_width*0.115, screen_height*0.75)) screen.blit(text_next, (screen_width*0.389, screen_height*0.15)) screen.blit(text_score, (screen_width*0.388, screen_height*0.7)) screen.blit(score_value, (screen_width*0.393, screen_height*0.75)) #aco_level(screen_width*0.38, screen_height*0.48) aco = ui_variables.DG_v_small.render("ACO level", 1, ui_variables.white) screen.blit(aco, (screen_width*0.39, screen_height*0.43)) aco_level(level1, screen_width*0.38, screen_height*0.48) # Draw board - player1 for x in range(width): for y in range(height): dx = screen_width*0.15 + block_size * x dy = screen_height*0.1 + block_size * y draw_block(screen, dx, dy, ui_variables.t_color[matrix_n[x][y + 1]], block_size) # Draw multi board def draw_multi_board_2(next, hold, score, level, goal, matrix): # Draw next mino_player grid_m = tetrimino.mino_map[next - 1][0] # Draw next mino_player2 for x in range(4): for y in range(4): dx = screen_width*0.84 + block_size * 0.72 * y dy = screen_height*0.23 + block_size * 0.72 * x if grid_m[x][y] != 0: pygame.draw.rect( screen, ui_variables.t_color[grid_m[x][y]], Rect(dx,dy, block_size*0.7, block_size*0.7) ) # Draw hold mino_player1 grid_i = tetrimino.mino_map[hold - 1][0] # Draw hold mino_player2 if hold_mino != -1: for x in range(4): for y in range(4): dx = screen_width*0.55 + block_size * 0.72 * y dy = screen_height*0.23 + block_size * 0.72 * x if grid_i[x][y] != 0: pygame.draw.rect( screen, ui_variables.t_color[grid_i[x][y]], Rect(dx, dy, block_size * 0.7, block_size * 0.7) ) # Set max score if score > 999999: score = 999999 # Draw texts text_hold = ui_variables.DG_v_small.render("HOLD", 1, ui_variables.white) text_next = ui_variables.DG_v_small.render("NEXT", 1, ui_variables.white) text_score = ui_variables.DG_v_small.render("SCORE", 1, ui_variables.white) score_value = ui_variables.DG_v_small.render(str(score), 1, ui_variables.white) text_level = ui_variables.DG_v_small.render("LEVEL", 1, ui_variables.white) level_value = ui_variables.DG_v_small.render(str(level), 1, ui_variables.white) text_goal = ui_variables.DG_v_small.render("GOAL", 1, ui_variables.white) goal_value = ui_variables.DG_v_small.render(str(goal), 1, ui_variables.white) # Place texts for player2 screen.blit(text_hold, (screen_width*0.546, screen_height*0.15)) screen.blit(text_level, (screen_width*0.54, screen_height*0.43)) screen.blit(level_value, (screen_width*0.546, screen_height*0.48)) screen.blit(text_goal, (screen_width*0.54, screen_height*0.7)) screen.blit(goal_value, (screen_width*0.562, screen_height*0.75)) screen.blit(text_next, (screen_width*0.84, screen_height*0.15)) screen.blit(text_score, (screen_width*0.845, screen_height*0.7)) screen.blit(score_value, (screen_width*0.85, screen_height*0.75)) #aco_level(screen_width*0.84, screen_height*0.48) aco = ui_variables.DG_v_small.render("ACO level", 1, ui_variables.white) screen.blit(aco, (screen_width*0.845, screen_height*0.43)) aco_level(level, screen_width*0.84, screen_height*0.48) # Draw board - player2 for i in range(width): for j in range(height): di = screen_width*0.6 + block_size * i dj = screen_height*0.1 + block_size * j draw_block(screen, di, dj, ui_variables.t_color[matrix[i][j + 1]], block_size) #background image def background_image(filename, width, height, blit_pos): background = pygame.image.load(filename) picture = pygame.transform.scale(background,(width, height)) screen.blit(picture,(0,blit_pos)) def aco_level(level, x, y): # 플레이 화면에 아코 사진 if type == 1: screen.blit(rect_aco1, (x, y)) if level >=5 and level <=9: screen.blit(rect_aco2, (x, y)) elif level >= 10: screen.blit(rect_aco3, (x, y)) elif type == 2: screen.blit(rect_aco2, (x, y)) if level >= 10: screen.blit(rect_aco3, (x, y)) elif type == 3: screen.blit(rect_aco3, (x, y)) # insert image x,y 이미지 위치, r이미지 가로 길이, c이미지 세로 길이 def insert_image(image, x, y, r, c): photo = pygame.transform.scale(image, (r, c)) screen.blit(photo, (x, y)) # image image_aco1 = pygame.image.load('../assets/images/aco1.png') image_aco2 = pygame.image.load('../assets/images/aco2.png') image_aco3 = pygame.image.load('../assets/images/aco3.png') image_manual = pygame.image.load('../assets/images/manual.png') image_winner = pygame.image.load('../assets/images/winner1.png') image_trophy = pygame.image.load('../assets/images/trophy.png') rect_aco1b = pygame.image.load('../assets/images/aco1.png').convert() rect_aco2b = pygame.image.load('../assets/images/aco2.png').convert() rect_aco3b = pygame.image.load('../assets/images/aco3.png').convert() rect_aco1 = pygame.transform.scale(rect_aco1b, (int(screen_width*0.12), int(screen_height*0.13))) rect_aco2 = pygame.transform.scale(rect_aco2b, (int(screen_width*0.13), int(screen_height*0.16))) rect_aco3 = pygame.transform.scale(rect_aco3b, (int(screen_width*0.14), int(screen_height*0.18))) # Initial values blink = False start_single = False # sinlge mode start_multi = False # multi mode pause = False done = False game_over = False multi_over = False show_score = False show_manual = False screen_Start = True game_mode = False score = 0 score_n = 0 level = 1 level_n = 1 goal = 1 goal_n = 1 bottom_count = 0 bottom_count_n = 0 hard_drop = False hard_drop_n = False player = 0 dx, dy = 3, 0 # Minos location status dp, dq = 3, 0 rotation = 0 # Minos rotation status rotation_n = 0 mino = randint(1, 7) # Current mino mino_n = randint(1,7) next_mino = randint(1, 7) # Next mino next_mino_n = randint(1,7) hold = False # Hold status hold_n=False hold_mino = -1 # Holded mino hold_mino_n = -1 name_location = 0 name = [65, 65, 65] #모드 별 아코 사진 넣을려고 만듦 type = 0 level1 = 0 level2 = 0 with open('leaderboard.txt') as f: lines = f.readlines() lines = [line.rstrip('\n') for line in open('leaderboard.txt')] leaders = {} for i in lines: leaders[i.split(' ')[0]] = int(i.split(' ')[1]) leaders = sorted(leaders.items(), key=operator.itemgetter(1), reverse=True) matrix= [[0 for y in range(height + 1)] for x in range(width)] # Board matrix matrix_n = [[0 for k in range(height + 1)] for p in range(width)] ########################################################### # Loop Start ########################################################### while not done: # Pause screen if pause: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == USEREVENT: pygame.time.set_timer(pygame.USEREVENT, 300) if start_single == True: draw_single_board(next_mino, hold_mino, score, level, goal, matrix) elif start_multi == True: draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) #pause시 화면 불투명하게 pause_surface = screen.convert_alpha() pause_surface.fill((0, 0, 0, 0)) pygame.draw.rect(pause_surface, ui_variables.black_t, [0, 0, int(screen_width), int(screen_height)]) screen.blit(pause_surface, (0, 0)) pause_text = ui_variables.DG_70.render("PAUSED", 1, ui_variables.white) pause_start = ui_variables.DG_small.render("Press esc to continue", 1, ui_variables.white) screen.blit(pause_text, (screen_width*0.415, screen_height*0.35)) if blink: screen.blit(pause_start, (screen_width*0.36, screen_height*0.6)) blink = False else: blink = True pygame.display.update() elif event.type == KEYDOWN: erase_mino(dx, dy, mino, rotation, matrix) erase_mino(dp, dq, mino_n, rotation_n, matrix_n) if event.key == K_ESCAPE: pause = False pygame.time.set_timer(pygame.USEREVENT, 1) elif event.key == K_q: done = True # Game screen # Start_single screen elif start_single: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == USEREVENT: # Set speed if not game_over: keys_pressed = pygame.key.get_pressed() if keys_pressed[K_DOWN]: pygame.time.set_timer(pygame.USEREVENT, framerate * 1) else: pygame.time.set_timer(pygame.USEREVENT, framerate * 10) # Draw a mino draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) # Erase a mino if not game_over: erase_mino(dx, dy, mino, rotation, matrix) # Move mino down if not is_bottom(dx, dy, mino, rotation, matrix): dy += 1 # Create new mino else: if hard_drop or bottom_count == 6: hard_drop = False bottom_count = 0 score += 10 * level draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) if is_stackable(next_mino, matrix): mino = next_mino next_mino = randint(1, 7) dx, dy = 3, 0 rotation = 0 hold = False else: start_single = False game_over = True single = True pygame.time.set_timer(pygame.USEREVENT, 1) else: bottom_count += 1 # Erase line erase_count = 0 for j in range(21): is_full = True for i in range(10): if matrix[i][j] == 0: is_full = False if is_full: erase_count += 1 k = j while k > 0: for i in range(10): matrix[i][k] = matrix[i][k - 1] k -= 1 if erase_count == 1: score += 50 * level elif erase_count == 2: score += 150 * level elif erase_count == 3: score += 350 * level elif erase_count == 4: score += 1000 * level # Increase level goal -= erase_count if goal < 1 and level < 15: level += 1 goal += level * 5 framerate = int(framerate * 0.8) elif event.type == KEYDOWN: erase_mino(dx, dy, mino, rotation, matrix) if event.key == K_ESCAPE: pause = True #Q누르면 창 나가짐 elif event.key == K_q: done = True # Hard drop elif event.key == K_SPACE: while not is_bottom(dx, dy, mino, rotation, matrix): dy += 1 hard_drop = True pygame.time.set_timer(pygame.USEREVENT, 1) draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) # Hold elif event.key == K_LSHIFT: if hold == False: if hold_mino == -1: hold_mino = mino mino = next_mino next_mino = randint(1, 7) else: hold_mino, mino = mino, hold_mino dx, dy = 3, 0 rotation = 0 hold = True draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) # Turn right elif event.key == K_UP: if is_turnable_r(dx, dy, mino, rotation, matrix): rotation += 1 # Kick elif is_turnable_r(dx, dy - 1, mino, rotation, matrix): dy -= 1 rotation += 1 elif is_turnable_r(dx + 1, dy, mino, rotation, matrix): dx += 1 rotation += 1 elif is_turnable_r(dx - 1, dy, mino, rotation, matrix): dx -= 1 rotation += 1 elif is_turnable_r(dx, dy - 2, mino, rotation, matrix): dy -= 2 rotation += 1 elif is_turnable_r(dx + 2, dy, mino, rotation, matrix): dx += 2 rotation += 1 elif is_turnable_r(dx - 2, dy, mino, rotation, matrix): dx -= 2 rotation += 1 if rotation == 4: rotation = 0 draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) # Turn left elif event.key == K_z or event.key == K_LCTRL: if is_turnable_l(dx, dy, mino, rotation, matrix): rotation -= 1 # Kick elif is_turnable_l(dx, dy - 1, mino, rotation, matrix): dy -= 1 rotation -= 1 elif is_turnable_l(dx + 1, dy, mino, rotation, matrix): dx += 1 rotation -= 1 elif is_turnable_l(dx - 1, dy, mino, rotation, matrix): dx -= 1 rotation -= 1 elif is_turnable_l(dx, dy - 2, mino, rotation, matrix): dy -= 2 rotation += 1 elif is_turnable_l(dx + 2, dy, mino, rotation, matrix): dx += 2 rotation += 1 elif is_turnable_l(dx - 2, dy, mino, rotation, matrix): dx -= 2 if rotation == -1: rotation = 3 draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) # Move left elif event.key == K_LEFT: if not is_leftedge(dx, dy, mino, rotation, matrix): dx -= 1 draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) # Move right elif event.key == K_RIGHT: if not is_rightedge(dx, dy, mino, rotation, matrix): dx += 1 draw_mino(dx, dy, mino, rotation, matrix) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) pygame.display.update() # Start_multi screen elif start_multi: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == USEREVENT: screen.fill(ui_variables.black) background_image_alpha(screen, background_file, screen_width, screen_height) if not multi_over: keys_pressed = pygame.key.get_pressed() if keys_pressed[K_DOWN]: pygame.time.set_timer(pygame.USEREVENT, framerate*1) else: pygame.time.set_timer(pygame.USEREVENT, framerate*10) draw_mino(dx, dy, mino, rotation, matrix) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) # Erase a mino if not multi_over: erase_mino(dx, dy, mino, rotation, matrix) # Move mino down if not is_bottom(dx, dy, mino, rotation, matrix): dy += 1 # Create new mino else: if hard_drop or bottom_count == 6: hard_drop = False bottom_count = 0 score += 10 * level draw_mino(dx, dy, mino, rotation, matrix) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) if is_stackable(next_mino, matrix): mino = next_mino next_mino = randint(1, 7) dx, dy = 3, 0 rotation = 0 hold = False else: start_multi = False multi_over = True player = 1 single = False pygame.time.set_timer(pygame.USEREVENT, 1) else: bottom_count += 1 # Erase line erase_count = 0 for j in range(21): is_full = True for i in range(10): if matrix[i][j] == 0: is_full = False if is_full: erase_count += 1 k = j while k > 0: for i in range(10): matrix[i][k] = matrix[i][k - 1] k -= 1 if erase_count == 1: score += 50 * level elif erase_count == 2: score += 150 * level elif erase_count == 3: score += 350 * level elif erase_count == 4: score += 1000 * level # Increase level goal -= erase_count if goal < 1 and level < 15: level += 1 goal += level * 5 framerate = int(framerate * 0.8) level_2 = level draw_mino(dp, dq, mino_n, rotation_n ,matrix_n) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) if not multi_over: erase_mino(dp, dq, mino_n, rotation_n, matrix_n) # Move mino down if not is_bottom(dp, dq, mino_n, rotation_n, matrix_n): dq += 1 else: if hard_drop_n or bottom_count_n == 6: hard_drop_n = False bottom_count_n = 0 score_n+=10*level_n draw_mino(dp, dq, mino_n, rotation_n, matrix_n) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) if is_stackable(next_mino_n, matrix_n): mino_n = next_mino_n next_mino_n = randint(1,7) dp, dq = 3, 0 rotation_n = 0 hold_n = False else: start_multi = False multi_over= True player = 2 single = False pygame.time.set_timer(pygame.USEREVENT, 1) else: bottom_count_n += 1 erase_count_n = 0 for j in range(21): is_full_n = True for i in range(10): if matrix_n[i][j] == 0: is_full_n = False if is_full_n: erase_count_n += 1 k = j while k > 0: for i in range(10): matrix_n[i][k] = matrix_n[i][k-1] k -= 1 if erase_count_n == 1: score_n += 50 * level_n elif erase_count_n == 2: score_n += 150 * level_n elif erase_count_n == 3: score_n += 350 * level_n elif erase_count_n == 4: score_n += 1000 * level_n # Increase level goal_n -= erase_count_n if goal_n < 1 and level_n < 15: level_n += 1 goal_n += level_n * 5 framerate_n = int(framerate_n * 0.8) level1 = level_n elif event.type == KEYDOWN: erase_mino(dx, dy, mino, rotation, matrix) erase_mino(dp, dq, mino_n, rotation_n, matrix_n) if event.key == K_ESCAPE: pause = True #Q누르면 창 나가짐 elif event.key == K_q: done = True # Hard drop elif event.key == K_SPACE: while not is_bottom(dx, dy, mino, rotation, matrix): dy += 1 hard_drop = True pygame.time.set_timer(pygame.USEREVENT, framerate) draw_mino(dx, dy, mino, rotation, matrix) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) elif event.key == K_LCTRL: while not is_bottom(dp, dq, mino_n, rotation_n, matrix_n): dq += 1 hard_drop_n = True pygame.time.set_timer(pygame.USEREVENT, framerate_n) draw_mino(dp, dq, mino_n, rotation_n, matrix_n) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) # Hold elif event.key == K_RSHIFT: if hold == False: if hold_mino == -1: hold_mino = mino mino = next_mino next_mino = randint(1, 7) else: hold_mino, mino = mino, hold_mino dx, dy = 3, 0 rotation = 0 hold = True draw_mino(dx, dy, mino, rotation, matrix) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) elif event.key == K_LSHIFT: if hold_n == False: if hold_mino_n == -1: hold_mino_n = mino_n mino_n = next_mino_n next_mino_n = randint(1,7) else: hold_mino_n, mino_n = mino_n, hold_mino_n dp, dq = 3, 0 rotation_n = 0 hold_n = True draw_mino(dp, dq, mino_n, rotation_n, matrix_n) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) # Turn right elif event.key == K_UP : if is_turnable_r(dx, dy, mino, rotation, matrix): rotation += 1 # Kick elif is_turnable_r(dx, dy - 1, mino, rotation, matrix): dy -= 1 rotation += 1 elif is_turnable_r(dx + 1, dy, mino, rotation, matrix): dx += 1 rotation += 1 elif is_turnable_r(dx - 1, dy, mino, rotation, matrix): dx -= 1 rotation += 1 elif is_turnable_r(dx, dy - 2, mino, rotation, matrix): dy -= 2 rotation += 1 elif is_turnable_r(dx + 2, dy, mino, rotation, matrix): dx += 2 rotation += 1 elif is_turnable_r(dx - 2, dy, mino, rotation, matrix): dx -= 2 rotation += 1 if rotation == 4: rotation = 0 draw_mino(dx, dy, mino, rotation, matrix) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) elif event.key == K_w: if is_turnable_r(dp, dq, mino_n, rotation_n, matrix_n): rotation_n += 1 # Kick elif is_turnable_r(dp, dq - 1, mino_n, rotation_n, matrix_n): dq -= 1 rotation_n += 1 elif is_turnable_r(dp + 1, dq, mino_n,rotation_n, matrix_n): dp += 1 rotation_n += 1 elif is_turnable_r(dp - 1, dq, mino_n, rotation_n, matrix_n): dp -= 1 rotation_n += 1 elif is_turnable_r(dp, dq - 2, mino_n, rotation_n, matrix_n): dq -= 2 rotation_n+= 1 elif is_turnable_r(dp + 2, dq, mino_n,rotation_n, matrix_n): dp += 2 rotation_n+= 1 elif is_turnable_r(dp - 2, dq, mino_n, rotation_n, matrix_n): dp -= 2 rotation_n += 1 if rotation_n == 4: rotation_n = 0 draw_mino(dp, dq, mino_n, rotation_n, matrix_n) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) # Move left elif event.key == K_LEFT: if not is_leftedge(dx, dy, mino, rotation, matrix): dx -= 1 draw_mino(dx, dy, mino, rotation, matrix) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) elif event.key == K_a: if not is_leftedge(dp, dq, mino_n, rotation_n, matrix_n): dp -= 1 draw_mino(dp, dq, mino_n, rotation_n, matrix_n) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) # Move right elif event.key == K_RIGHT: if not is_rightedge(dx, dy, mino, rotation, matrix): dx += 1 draw_mino(dx, dy, mino, rotation, matrix) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) elif event.key == K_d: if not is_rightedge(dp, dq, mino_n, rotation_n, matrix_n): dp += 1 draw_mino(dp, dq, mino_n, rotation_n, matrix_n) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) pygame.display.update() # Game over screen elif game_over: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == USEREVENT: pygame.time.set_timer(pygame.USEREVENT, 300) over_text_1 = ui_variables.DG_70.render("GAME OVER", 1, ui_variables.white) over_start = ui_variables.DG_v_small.render("Press return to continue", 1, ui_variables.white) draw_single_board(next_mino, hold_mino, score, level, goal, matrix) #pause시 화면 불투명하게 over_surface = screen.convert_alpha() over_surface.fill((0, 0, 0, 0)) pygame.draw.rect(over_surface, ui_variables.black_t, [0, 0, int(screen_width), int(screen_height)]) screen.blit(over_surface, (0, 0)) name_1 = ui_variables.DGM40.render(chr(name[0]), 1, ui_variables.white) name_2 = ui_variables.DGM40.render(chr(name[1]), 1, ui_variables.white) name_3 = ui_variables.DGM40.render(chr(name[2]), 1, ui_variables.white) underbar_1 = ui_variables.DGM40.render("_", 1, ui_variables.white) underbar_2 = ui_variables.DGM40.render("_", 1, ui_variables.white) underbar_3 = ui_variables.DGM40.render("_", 1, ui_variables.white) screen.blit(over_text_1, (int(screen_width*0.37), int(screen_height*0.2))) screen.blit(name_1, (int(screen_width*0.4), int(screen_height*0.5))) screen.blit(name_2, (int(screen_width*0.5), int(screen_height*0.5))) screen.blit(name_3, (int(screen_width*0.6), int(screen_height*0.5))) if blink: screen.blit(over_start, (int(screen_width*0.38), int(screen_height*0.7))) blink = False else: if name_location == 0: screen.blit(underbar_1, (int(screen_width*0.4), int(screen_height*0.52))) elif name_location == 1: screen.blit(underbar_2, (int(screen_width*0.5), int(screen_height*0.52))) elif name_location == 2: screen.blit(underbar_3, (int(screen_width*0.6), int(screen_height*0.52))) blink = True pygame.display.update() elif event.type == KEYDOWN: if event.key == K_RETURN: outfile = open('leaderboard.txt','a') outfile.write(chr(name[0]) + chr(name[1]) + chr(name[2]) + ' ' + str(score) + '\n') outfile.close() pygame.time.set_timer(pygame.USEREVENT, 1) sys.exit() game_over = False hold = False dx, dy = 3, 0 dp, dq = 3, 0 rotation = 0 rotation_n =0 mino = randint(1, 7) mino_n = randint(1,7) next_mino = randint(1, 7) next_mino_n = randint(1,7) hold_mino = -1 hold_mino_n = -1 framerate = 30 framerate_n = 30 score = 0 score_n = 0 level = 1 level_n = 1 goal = level * 5 goal_n = level_n*5 bottom_count = 0 bottom_count_n = 0 hard_drop = False hard_drop_n = False if event.key == K_RIGHT: if name_location != 2: name_location += 1 else: name_location = 0 pygame.time.set_timer(pygame.USEREVENT, 1) elif event.key == K_LEFT: if name_location != 0: name_location -= 1 else: name_location = 2 pygame.time.set_timer(pygame.USEREVENT, 1) elif event.key == K_UP: if name[name_location] != 90: name[name_location] += 1 else: name[name_location] = 65 pygame.time.set_timer(pygame.USEREVENT, 1) elif event.key == K_DOWN: if name[name_location] != 65: name[name_location] -= 1 else: name[name_location] = 90 pygame.time.set_timer(pygame.USEREVENT, 1) elif event.key == K_q: done = True elif multi_over: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == USEREVENT: pygame.time.set_timer(pygame.USEREVENT, 300) title = "ACOTRIS" winner_text = "{}P win".format(player) title_text_1 = ui_variables.DG_big.render(title, 1, ui_variables.white) over_text_1 = ui_variables.DG_70.render(winner_text, 1, ui_variables.white) draw_multi_board_1(next_mino_n, hold_mino_n, score_n, level_n, goal_n, matrix_n) draw_multi_board_2(next_mino, hold_mino, score, level, goal, matrix) #pause시 화면 불투명하게 over_surface = screen.convert_alpha() over_surface.fill((0, 0, 0, 0)) pygame.draw.rect(over_surface, ui_variables.black_t, [0, 0, int(screen_width), int(screen_height)]) screen.blit(over_surface, (0, 0)) screen.blit(title_text_1,(int(screen_width*0.35), int(screen_height*0.1))) screen.blit(over_text_1, (int(screen_width*0.39), int(screen_height*0.75))) insert_image(image_winner, screen_width*0.25, screen_height*0.12, int(screen_width*0.55), int(screen_height*0.65)) insert_image(image_trophy, screen_width*0.21, screen_height*0.13, int(screen_width*0.1), int(screen_height*0.18)) insert_image(image_trophy, screen_width*0.7, screen_height*0.13, int(screen_width*0.1), int(screen_height*0.18)) pygame.display.update() if event.type == KEYDOWN: if event.key == K_q: done = True elif event.key == K_RETURN: done = True elif game_mode: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == KEYDOWN: keys = pygame.key.get_pressed() # Q누르면 창 나가짐 if event.key == K_q: done = True elif keys[pygame.K_s] and keys[pygame.K_e]: start_single = True level = 1 goal = level * 5 type = 1 elif keys[pygame.K_s] and keys[pygame.K_r]: level = 5 start_single = True goal = level * 5 type = 2 elif keys[pygame.K_s] and keys[pygame.K_t]: level = 10 start_single = True goal = level * 5 type = 3 elif keys[pygame.K_m] and keys[pygame.K_e]: level = 1 goal = level * 5 level_n = 1 goal_n = level_n*5 start_multi= True type = 1 elif keys[pygame.K_m] and keys[pygame.K_r]: level = 5 goal = level * 5 level_n = 5 goal_n = level_n*5 start_multi = True type = 2 elif keys[pygame.K_m] and keys[pygame.K_t]: level = 10 start_multi = True goal = level * 5 level_n = 10 goal_n = level_n*5 type = 3 elif event.type == USEREVENT: pygame.time.set_timer(pygame.USEREVENT, 300) screen.fill(ui_variables.black) background_image(background_file, screen_width, int(screen_height/2), int(screen_height/2)) game_mode_title = ui_variables.DG_small.render("게임옵션설정(두개의 키를 동시에 눌러주세요!)", 1, ui_variables.white) game_mode_choice = ui_variables.DG_v_small.render("게임모드설정", 1, ui_variables.white) game_mode_speed = ui_variables.DG_v_small.render("게임속도설정", 1, ui_variables.white) game_mode_single = ui_variables.DG_v_small.render("● Single 모드 (S키)", 1, ui_variables.white) game_mode_single_des = ui_variables.DG_v_small.render("혼자서 재미있게 하기!!", 1, ui_variables.white) game_mode_multi = ui_variables.DG_v_small.render("● Multi 모드 (M키)", 1, ui_variables.white) game_mode_multi_des = ui_variables.DG_v_small.render("둘이서 재미있게 하기!!", 1, ui_variables.white) game_speed_easy = ui_variables.DG_v_small.render("● 아코 모드(E키)", 1, ui_variables.white) game_speed_normal = ui_variables.DG_v_small.render("● 엉아코 모드(R키)", 1, ui_variables.white) game_speed_hard = ui_variables.DG_v_small.render("● 졸업코 모드(T키)", 1, ui_variables.white) game_speed_easy_des = ui_variables.DG_v_small.render("EASY 모드!", 1, ui_variables.white) game_speed_normal_des = ui_variables.DG_v_small.render("NORMAL 모드!!", 1, ui_variables.white) game_speed_hard_des = ui_variables.DG_v_small.render("HARD 모드!!!", 1, ui_variables.white) pygame.draw.line(screen, ui_variables.white, [0, int(screen_height*0.055)], [screen_width,int(screen_height*0.055)],2) screen.blit(game_mode_title, (int(screen_width*0.1)+int(int(screen_width*0.3)*0.4), int(screen_height*0.065))) pygame.draw.line(screen, ui_variables.white, [0, int(screen_height*0.125)], [screen_width,int(screen_height*0.125)],2) pygame.draw.rect(screen, ui_variables.white, [int(screen_width*0.175), int(screen_height*0.2), int(screen_width*0.2), int(screen_height*0.075)], 2) pygame.draw.rect(screen, ui_variables.white, [int(screen_width*0.625), int(screen_height*0.2), int(screen_width*0.2), int(screen_height*0.075)], 2) screen.blit(game_mode_choice, (int(screen_width*0.198), int(screen_height*0.215))) screen.blit(game_mode_speed, (int(screen_width*0.655), int(screen_height*0.215))) screen.blit(game_mode_single, (int(screen_width*0.15), int(screen_height*0.35))) screen.blit(game_mode_multi, (int(screen_width*0.15), int(screen_height*0.55))) screen.blit(game_mode_single_des, (int(screen_width*0.179), int(screen_height*0.4))) screen.blit(game_mode_multi_des, (int(screen_width*0.179), int(screen_height*0.6))) screen.blit(game_speed_easy, (int(screen_width*0.6), int(screen_height*0.3))) screen.blit(game_speed_normal, (int(screen_width*0.6), int(screen_height*0.45))) screen.blit(game_speed_hard, (int(screen_width*0.6), int(screen_height*0.6))) screen.blit(game_speed_easy_des, (int(screen_width*0.65), int(screen_height*0.35))) screen.blit(game_speed_normal_des, (int(screen_width*0.65), int(screen_height*0.5))) screen.blit(game_speed_hard_des, (int(screen_width*0.65), int(screen_height*0.65))) insert_image(image_aco1, int(screen_width*0.79), int(screen_height*0.295), int(screen_width*0.1), int(screen_height*0.1)) insert_image(image_aco2, int(screen_width*0.8), int(screen_height*0.445), int(screen_width*0.1), int(screen_height*0.1)) insert_image(image_aco3, int(screen_width*0.8), int(screen_height*0.595), int(screen_width*0.1), int(screen_height*0.1)) pygame.display.update() # Manual screen elif show_manual: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == KEYDOWN: if event.key == K_SPACE: game_mode = True elif event.key == K_q: done = True elif event.type == USEREVENT: pygame.time.set_timer(pygame.USEREVENT, 300) screen.fill(ui_variables.black) background_image('../assets/images/manual.png', screen_width, screen_height, 0) show_score_manual = ui_variables.DG_small.render("Manual", 1, ui_variables.white) show_desc1_manual = ui_variables.DGM23.render("Pytris는 테트리스 게임으로 총 7가지 모양의 블록이 위에서 아래로", 1, ui_variables.white) show_desc2_manual = ui_variables.DGM23.render("떨어질 때 블록을 회전, 이동, 낙하 시켜 빈 곳으로 블록을 끼워 넣어", 1, ui_variables.white) show_desc3_manual = ui_variables.DGM23.render("한 라인을 채우면 라인이 제거되면서 점수를 얻는 방식입니다.", 1, ui_variables.white) pygame.draw.line(screen, ui_variables.white, [0, int(screen_height*0.055)], [screen_width,int(screen_height*0.055)],2) screen.blit(show_score_manual, (int(screen_width*0.3)+int(int(screen_width*0.3)*0.5), int(screen_height*0.06))) screen.blit(show_desc1_manual, (int(screen_width*0.05)+int(int(screen_width*0.1)*0.5), int(screen_height*0.15))) screen.blit(show_desc2_manual, (int(screen_width*0.05)+int(int(screen_width*0.1)*0.5), int(screen_height*0.2))) screen.blit(show_desc3_manual, (int(screen_width*0.05)+int(int(screen_width*0.1)*0.5), int(screen_height*0.25))) pygame.draw.line(screen, ui_variables.white, [0, int(screen_height*0.125)], [screen_width,int(screen_height*0.125)],2) title_start = ui_variables.DGM23.render("<Press space to start>", 1, ui_variables.white) screen.blit(title_start, (screen_width*0.37, screen_height*0.75)) pygame.display.update() # Show score elif show_score: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == KEYDOWN: # Q누르면 창 나가짐 if event.key == K_q: done = True #space누르면 매뉴얼 창으로 elif event.key == K_SPACE: show_manual = True elif event.type == USEREVENT: pygame.time.set_timer(pygame.USEREVENT, 300) screen.fill(ui_variables.black) background_image(background_file, screen_width, int(screen_height/2), int(screen_height/2)) show_score_list = list() i = 0 try: while i<10: j=0 temp = ui_variables.DG_small.render('%2d' % ((i+1))+'등 '+'{:>6s}'.format(leaders[i][j]) + ' ' + '{:<8s}'.format(str(leaders[i][j+1])), 1, ui_variables.white) show_score_list.append(temp) i+=1 except: show_manual = True show_name_y = int(screen_height*0.17) prop = (show_name_y*0.3) for element in show_score_list: screen.blit(element, (int(screen_width*0.3)+int(int(screen_width*0.3)*0.25), show_name_y)) show_name_y += prop show_button_right = ui_variables.DGM23.render("<Press space to start>", 1, ui_variables.white) show_score_title = ui_variables.DG_small.render("Ranking", 1, ui_variables.white) pygame.draw.line(screen, ui_variables.white, [0, int(screen_height*0.055)], [screen_width,int(screen_height*0.055)],2) screen.blit(show_score_title, (int(screen_width*0.3)+int(int(screen_width*0.3)*0.5), int(screen_height*0.065))) pygame.draw.line(screen, ui_variables.white, [0, int(screen_height*0.125)], [screen_width,int(screen_height*0.125)],2) screen.blit(show_button_right, (int(screen_width*0.33)+int(int(screen_width*0.33)*0.2), show_name_y+prop)) pygame.display.flip() # Start screen else: for event in pygame.event.get(): if event.type == QUIT: done = True elif event.type == KEYDOWN: if event.key == K_SPACE: show_score=True #Q 누르면 창 나가짐 elif event.key == K_q: done = True screen.fill(ui_variables.white) background_image(background_file, screen_width, int(screen_height/2), int(screen_height/2)) insert_image(image_aco1, screen_width*0.52, screen_height*0.29, 150, 130) insert_image(image_aco2, screen_width*0.65, screen_height*0.22, 180, 180) insert_image(image_aco3, screen_width*0.8, screen_height*0.18, 210, 210) title = ui_variables.DG_big.render("ACOTRIS", 1, ui_variables.black) title_uni = ui_variables.DG_small.render("in DGU", 1, ui_variables.black) title_start = ui_variables.DGM23.render("<Press space to start>", 1, ui_variables.white) title_info = ui_variables.DGM13.render("Copyright (c) 2017 Jason Kim All Rights Reserved.", 1, ui_variables.white) if blink: screen.blit(title_start, (91, 195)) blink = False else: blink = True screen.blit(title, (screen_width*0.028, screen_height*0.3)) screen.blit(title_uni, (screen_width*0.37, screen_height*0.3)) screen.blit(title_start, (screen_width*0.37, screen_height*0.55)) screen.blit(title_info, (screen_width*0.35, screen_height*0.93)) if not show_score: pygame.display.update() clock.tick(3) pygame.quit()

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179

0.514134

6,714

53,171

3.841823

0.063896

0.065674

0.056951

0.040862

0.802512

0.753702

0.714856

0.650229

0.61964

0.577188

0

0.045269

0.383875

53,171

1,286

180

41.346034

0.74188

0.025992

0

0.627789

0

0.018535

0.005719

0

1

0.006085

false

0

0.010142

0

0.016227

0

null

0

1

0

null

0

3

9da1ed6becdb22c4f8292e530b55e6268710e72f

1,346

py

Python

tests/test_status.py

ehdgua01/blocksync

da0198dde87d284ea3c9472c10f51028e05014a0

[ "MIT" ]

5

2020-06-03T09:30:15.000Z

2021-12-14T23:48:47.000Z

tests/test_status.py

ehdgua01/blocksync

da0198dde87d284ea3c9472c10f51028e05014a0

[ "MIT" ]

2

2021-03-19T07:37:57.000Z

2021-06-18T11:54:46.000Z

tests/test_status.py

ehdgua01/blocksync

da0198dde87d284ea3c9472c10f51028e05014a0

[ "MIT" ]

null

from blocksync._consts import ByteSizes from blocksync._status import Blocks def test_initialize_status(fake_status): # Expect: Set chunk size assert fake_status.chunk_size == fake_status.src_size // fake_status.workers def test_add_block(fake_status): # Expect: Add each blocks and calculate done block fake_status.add_block("same") fake_status.add_block("same") fake_status.add_block("diff") assert fake_status.blocks == Blocks(same=2, diff=1, done=3) def test_get_rate(fake_status): # Expect: Return 0.00 when nothing done assert fake_status.rate == 0.00 fake_status.block_size = ByteSizes.MiB fake_status.src_size = fake_status.dest_size = ByteSizes.MiB * 10 # Expect: Return 50.00 when half done fake_status.add_block("same") fake_status.add_block("same") fake_status.add_block("same") fake_status.add_block("diff") fake_status.add_block("diff") assert fake_status.rate == 50.00 # Expect: Return 100.00 when all done fake_status.add_block("same") fake_status.add_block("same") fake_status.add_block("same") fake_status.add_block("diff") fake_status.add_block("diff") assert fake_status.rate == 100.00 # Expect: Return 100.00 when exceeding the total size fake_status.add_block("diff") assert fake_status.rate == 100.00

30.590909

80

0.724368

204

1,346

4.509804

0.22549

0.304348

0.197826

0.273913

0.543478

0.436957

0.419565

0

0.035009

0.172363

1,346

43

81

31.302326

0.790844

0.173106

0

0.592593

0

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0

0.222222

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0.111111

false

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0.074074

0

0.185185

0

null

1

0

null

0

3

9da20747a22e24702a7eb51c79e588aff84309dd

275

py

Python

tests/helpers.py

hawkfish/sudoku

eaae1aa3080032266db0fcfc8a6520a9cb5690fe

[ "MIT" ]

null

tests/helpers.py

hawkfish/sudoku

eaae1aa3080032266db0fcfc8a6520a9cb5690fe

[ "MIT" ]

null

tests/helpers.py

hawkfish/sudoku

eaae1aa3080032266db0fcfc8a6520a9cb5690fe

[ "MIT" ]

null

#!/usr/bin/python3 import os def readFixture(sdk): f = open(os.path.join('tests', 'fixtures', sdk), 'r') lines = f.readlines() f.close() return [ line.strip('\n') for line in lines] def valuesFromDisplay(display): return [value-1 for value in display]

21.153846

57

0.643636

40

275

4.425

0.7

0

0.009009

0.192727

275

12

58

22.916667

0.788288

0.061818

0

0.062257

0

1

0.25

false

0

0.125

0.625

0

null

0

null

0

1

0

1

0

3

9dcae389894300bd7f91c57ac11fc79ac0e2fd30

14,770

py

Python

backend/core/migrations/0001_initial.py

mashuq/academia

571b3db58de4a70210ebd9d92c0f152016aec861

[ "Unlicense" ]

null

backend/core/migrations/0001_initial.py

mashuq/academia

571b3db58de4a70210ebd9d92c0f152016aec861

[ "Unlicense" ]

null

backend/core/migrations/0001_initial.py

mashuq/academia

571b3db58de4a70210ebd9d92c0f152016aec861

[ "Unlicense" ]

null

# Generated by Django 3.1.6 on 2021-02-25 05:46 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('contenttypes', '0002_remove_content_type_name'), ] operations = [ migrations.CreateModel( name='Answer', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('mark', models.FloatField()), ], ), migrations.CreateModel( name='Assessment', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=256)), ('contribution', models.FloatField()), ('start_date', models.DateTimeField()), ('end_date', models.DateTimeField()), ], ), migrations.CreateModel( name='Course', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=256)), ('code', models.CharField(max_length=10)), ('description', models.TextField()), ('curriculum', models.TextField(blank=True, null=True)), ('image', models.ImageField(upload_to='course_images/')), ('visible', models.BooleanField()), ], ), migrations.CreateModel( name='CourseCategory', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=256)), ], ), migrations.CreateModel( name='Lesson', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=512)), ], ), migrations.CreateModel( name='Question', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('mark', models.FloatField()), ('polymorphic_ctype', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_core.question_set+', to='contenttypes.contenttype')), ], options={ 'abstract': False, 'base_manager_name': 'objects', }, ), migrations.CreateModel( name='Section', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=256)), ('start_date', models.DateTimeField()), ('end_date', models.DateTimeField()), ('visible', models.BooleanField()), ('course', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.course')), ], ), migrations.CreateModel( name='Session', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=512)), ('serial', models.IntegerField()), ('course', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.course')), ], ), migrations.CreateModel( name='Testimonial', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('testimonial', models.CharField(max_length=4000)), ('name', models.CharField(max_length=64)), ('identity', models.CharField(max_length=128)), ('serial', models.IntegerField()), ], ), migrations.CreateModel( name='AudioLesson', fields=[ ('lesson_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.lesson')), ('embed', models.TextField()), ('audio_type', models.CharField(choices=[('SOUNDCLOUD', 'SoundCloud')], default='SOUNDCLOUD', max_length=32)), ], bases=('core.lesson',), ), migrations.CreateModel( name='BroadAnswer', fields=[ ('answer_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.answer')), ('answer', models.TextField()), ], bases=('core.answer',), ), migrations.CreateModel( name='BroadQuestion', fields=[ ('question_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.question')), ('question', models.CharField(max_length=512)), ], options={ 'abstract': False, 'base_manager_name': 'objects', }, bases=('core.question',), ), migrations.CreateModel( name='MultipleChoiceAnswer', fields=[ ('answer_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.answer')), ('answer', models.CharField(max_length=128)), ], bases=('core.answer',), ), migrations.CreateModel( name='MultipleChoiceQuestion', fields=[ ('question_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.question')), ('question', models.CharField(max_length=512)), ('choice1', models.CharField(max_length=128)), ('choice2', models.CharField(max_length=128)), ('choice3', models.CharField(max_length=128)), ('choice4', models.CharField(max_length=128)), ('correct_choice', models.CharField(max_length=128)), ], options={ 'abstract': False, 'base_manager_name': 'objects', }, bases=('core.question',), ), migrations.CreateModel( name='NoteLesson', fields=[ ('lesson_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.lesson')), ('note', models.FileField(upload_to='course_files/')), ], bases=('core.lesson',), ), migrations.CreateModel( name='ShortAnswer', fields=[ ('answer_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.answer')), ('answer', models.CharField(max_length=2048)), ], bases=('core.answer',), ), migrations.CreateModel( name='ShortQuestion', fields=[ ('question_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.question')), ('question', models.CharField(max_length=512)), ], options={ 'abstract': False, 'base_manager_name': 'objects', }, bases=('core.question',), ), migrations.CreateModel( name='VideoLesson', fields=[ ('lesson_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='core.lesson')), ('link', models.CharField(max_length=512)), ('video_type', models.CharField(choices=[('YOUTUBE', 'YouTube')], default='YOUTUBE', max_length=32)), ], bases=('core.lesson',), ), migrations.CreateModel( name='Teacher', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=128)), ('gender', models.CharField(choices=[('MALE', 'Male'), ('FEMALE', 'Female')], max_length=6)), ('date_of_birth', models.DateTimeField(null=True)), ('biography', models.TextField(null=True)), ('profile_picture', models.ImageField(null=True, upload_to='')), ('teacher_type', models.CharField(choices=[('MAIN', 'Main'), ('ASSISTANT', 'Assistant')], max_length=32)), ('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Student', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=128)), ('gender', models.CharField(choices=[('MALE', 'Male'), ('FEMALE', 'Female')], max_length=6)), ('date_of_birth', models.DateTimeField()), ('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.AddField( model_name='question', name='session', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.session'), ), migrations.AddField( model_name='lesson', name='session', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.session'), ), migrations.AddField( model_name='course', name='course_category', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='core.coursecategory'), ), migrations.CreateModel( name='AssessmentResult', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('total_mark', models.FloatField()), ('assessment', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.assessment')), ('student', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.student')), ], ), migrations.AddField( model_name='assessment', name='section', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.section'), ), migrations.AddField( model_name='answer', name='assessment', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.assessment'), ), migrations.AddField( model_name='answer', name='student', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.student'), ), migrations.CreateModel( name='Admin', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=128)), ('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='SessionSection', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('visible', models.BooleanField()), ('section', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.section')), ('session', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.session')), ], options={ 'unique_together': {('section', 'session')}, }, ), migrations.CreateModel( name='SectionTeacher', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('section', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.section')), ('teacher', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.teacher')), ], options={ 'unique_together': {('section', 'teacher')}, }, ), migrations.CreateModel( name='Enrolment', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('final_grade', models.FloatField()), ('section', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.section')), ('student', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.student')), ], options={ 'unique_together': {('section', 'student')}, }, ), migrations.CreateModel( name='AssessmentQuestion', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('assessment', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.assessment')), ('question', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.question')), ], options={ 'unique_together': {('assessment', 'question')}, }, ), ]

47.491961

207

0.561882

1,369

14,770

5.913806

0.119065

0.032609

0.055336

0.086957

0.740983

0.713809

0.684906

0.679718

0.661314

0.642416

0

0.009835

0.290928

14,770

310

208

47.645161

0.763201

0.003047

0

0.693069

1

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0.134619

0.007132

0

1

0

false

0

0.009901

0

0.023102

0

null

0

1

0

1

0

1

0

null

0

3

9ddcc75effef9735c94806309f3290c831fcccf5

219

py

Python

UnityEngine/HideFlags/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

UnityEngine/HideFlags/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

UnityEngine/HideFlags/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

from UdonPie import UnityEngine from UdonPie.Undefined import * class HideFlags: def __new__(cls, arg1=None): ''' :returns: HideFlags :rtype: UnityEngine.HideFlags ''' pass

18.25

37

0.611872

21

219

6.190476

0.714286

0.169231

0

0.006536

0.30137

219

11

38

19.909091

0.843137

0.223744

0

1

0.2

false

0.2

0.4

0

0.8

0

1

0

null

0

null

0

1

0

3

d1a20a252ae1bd2bda733e48649244f828568be5

2,840

py

Python

S4/S4 Library/generated/protocolbuffers/ResourceKey_pb2.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

1

2021-05-20T19:33:37.000Z

S4/S4 Library/generated/protocolbuffers/ResourceKey_pb2.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

S4/S4 Library/generated/protocolbuffers/ResourceKey_pb2.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

from google.protobuf import descriptor from google.protobuf import message from google.protobuf import reflection from google.protobuf import descriptor_pb2 DESCRIPTOR = descriptor.FileDescriptor(name='ResourceKey.proto', package='EA.Sims4.Network', serialized_pb='\n\x11ResourceKey.proto\x12\x10EA.Sims4.Network"<\n\x0bResourceKey\x12\x0c\n\x04type\x18\x01 \x02(\r\x12\r\n\x05group\x18\x02 \x02(\r\x12\x10\n\x08instance\x18\x03 \x02(\x04"G\n\x0fResourceKeyList\x124\n\rresource_keys\x18\x01 \x03(\x0b2\x1d.EA.Sims4.Network.ResourceKeyB\x0eB\x0cResourceKeys') _RESOURCEKEY = descriptor.Descriptor(name='ResourceKey', full_name='EA.Sims4.Network.ResourceKey', filename=None, file=DESCRIPTOR, containing_type=None, fields=[descriptor.FieldDescriptor(name='type', full_name='EA.Sims4.Network.ResourceKey.type', index=0, number=1, type=13, cpp_type=3, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), descriptor.FieldDescriptor(name='group', full_name='EA.Sims4.Network.ResourceKey.group', index=1, number=2, type=13, cpp_type=3, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), descriptor.FieldDescriptor(name='instance', full_name='EA.Sims4.Network.ResourceKey.instance', index=2, number=3, type=4, cpp_type=4, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None)], extensions=[], nested_types=[], enum_types=[], options=None, is_extendable=False, extension_ranges=[], serialized_start=39, serialized_end=99) _RESOURCEKEYLIST = descriptor.Descriptor(name='ResourceKeyList', full_name='EA.Sims4.Network.ResourceKeyList', filename=None, file=DESCRIPTOR, containing_type=None, fields=[descriptor.FieldDescriptor(name='resource_keys', full_name='EA.Sims4.Network.ResourceKeyList.resource_keys', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None)], extensions=[], nested_types=[], enum_types=[], options=None, is_extendable=False, extension_ranges=[], serialized_start=101, serialized_end=172) _RESOURCEKEYLIST.fields_by_name['resource_keys'].message_type = _RESOURCEKEY DESCRIPTOR.message_types_by_name['ResourceKey'] = _RESOURCEKEY DESCRIPTOR.message_types_by_name['ResourceKeyList'] = _RESOURCEKEYLIST class ResourceKey(message.Message, metaclass=reflection.GeneratedProtocolMessageType): DESCRIPTOR = _RESOURCEKEY class ResourceKeyList(message.Message, metaclass=reflection.GeneratedProtocolMessageType): DESCRIPTOR = _RESOURCEKEYLIST

167.058824

1,189

0.817254

384

2,840

5.838542

0.239583

0.049955

0.040143

0.648082

0.604371

0.400089

0

0.038604

0.051408

2,840

16

1,190

177.5

0.793615

0

0.071429

0.221831

0.175352

0

1

0

false

0

0.285714

0

0.571429

0

null

0

1

0

null

0

1

0

3

d1a8c0ef8c78390a7389441f044f0c0970746917

529

py

Python

src/Python/701-800/744.NextGreatestLetter.py

Peefy/PeefyLeetCode

92156e4b48ba19e3f02e4286b9f733e9769a1dee

[ "Apache-2.0" ]

2

2018-05-03T07:50:03.000Z

2018-06-17T04:32:13.000Z

src/Python/701-800/744.NextGreatestLetter.py

Peefy/PeefyLeetCode

92156e4b48ba19e3f02e4286b9f733e9769a1dee

[ "Apache-2.0" ]

null

src/Python/701-800/744.NextGreatestLetter.py

Peefy/PeefyLeetCode

92156e4b48ba19e3f02e4286b9f733e9769a1dee

[ "Apache-2.0" ]

3

2018-11-09T14:18:11.000Z

2021-11-17T15:23:52.000Z

class Solution: def nextGreatestLetter(self, letters, target): """ :type letters: List[str] :type target: str :rtype: str """ for l in letters: if l > target: return l return letters[0] if __name__ == '__main__': solution = Solution() print(solution.nextGreatestLetter(["c", "f", "j"], "a")) print(solution.nextGreatestLetter(["c", "f", "j"], "c")) print(solution.nextGreatestLetter(["c", "f", "j"], "k")) else: pass

23

60

0.529301

56

529

4.857143

0.482143

0.143382

0.341912

0.352941

0.375

0

0.002717

0.304348

529

22

61

24.045455

0.736413

0.102079

0

0.046189

0

1

0.076923

false

0.076923

0

0.307692

0.230769

0

null

0

1

0

null

0

1

0

3

d1ac6a90c4729800926b6568f7d2006371d58651

540

py

Python

it/versions/structures/default/python/bar/v2_1.py

nezdolik/reproto

2d69d8efca518a6ea23a4182b29872fcc62a1a71

[ "Apache-2.0", "MIT" ]

null

it/versions/structures/default/python/bar/v2_1.py

nezdolik/reproto

2d69d8efca518a6ea23a4182b29872fcc62a1a71

[ "Apache-2.0", "MIT" ]

null

it/versions/structures/default/python/bar/v2_1.py

nezdolik/reproto

2d69d8efca518a6ea23a4182b29872fcc62a1a71

[ "Apache-2.0", "MIT" ]

null

class Other: def __init__(self, name21): self.name21 = name21 def get_name21(self): return self.name21 @staticmethod def decode(data): f_name21 = data["name21"] if not isinstance(f_name21, unicode): raise Exception("not a string") return Other(f_name21) def encode(self): data = dict() if self.name21 is None: raise Exception("name21: is a required field") data["name21"] = self.name21 return data def __repr__(self): return "<Other name21:{!r}>".format(self.name21)

18.62069

52

0.648148

72

540

4.694444

0.402778

0.177515

0.094675

0

0.072464

0.233333

540

28

53

19.285714

0.743961

0

0.12963

0

1

0.263158

false

0

0.105263

0.526316

0

null

0

null

0

1

0

1

0

3

d1e1409d73a3d66b1d9667d3a5d80cc9f1d444f5

1,915

py

Python

modele/Case.py

JordanSamhi/BricksBreaker

e2efb28e5ec43056e9665479920523576c692a6b

[ "MIT" ]

null

modele/Case.py

JordanSamhi/BricksBreaker

e2efb28e5ec43056e9665479920523576c692a6b

[ "MIT" ]

null

modele/Case.py

JordanSamhi/BricksBreaker

e2efb28e5ec43056e9665479920523576c692a6b

[ "MIT" ]

null

''' Une case est definie par sa couleur, ses coordonnees et un acces a la grille pour recuperer ses voisins ''' class Case(): def __init__(self, x, y, couleur, grille): self._x = x self._y = y self._couleur = couleur self._grille = grille self.GREY = "grey" def getCouleur(self): return self._couleur def getCouleurOriginale(self): if self._couleur[-1] == "3": return self._couleur[:-1]+"2" return self._couleur def getX(self): return self._x def getY(self): return self._y def setX(self, x): self._x = x def setY(self, y): self._y = y def setCouleur(self, couleur): self._couleur = couleur def getNord(self): if self.getY() > 0: return self._grille[self._y-1][self._x] return None def getSud(self): if self.getY() < len(self._grille) - 1: return self._grille[self._y+1][self._x] return None def getEst(self): if self.getX() < len(self._grille) - 1: return self._grille[self._y][self._x+1] return None def getOuest(self): if self.getX() > 0: return self._grille[self._y][self._x-1] return None def getVoisins(self): return [self.getNord(), self.getSud(), self.getEst(), self.getOuest()] def getGrille(self): return self._grille def surbrillance(self): self._couleur = self._couleur[:-1] + "2" def couleurParDefaut(self): self._couleur = self._couleur[:-1] + "3" def detruire(self): self.setCouleur(self.GREY) def estDetruite(self): return self._couleur == self.GREY

26.232877

79

0.515927

223

1,915

4.264574

0.224215

0.138801

0.088328

0.084122

0.256572

0.197687

0.168244

0

0.013289

0.371279

1,915

73

80

26.232877

0.776578

0.053786

0

0.235294

0

0.004648

0

1

0.352941

false

0

0.117647

0.686275

0

null

0

null

0

1

0

1

0

3

d1e30a27cb089668fb5805462b206c1f85c6621d

2,900

py

Python

tests/test_markdown.py

tripleee/ChatExchange

5509c7ec1efd5b55d4051d6966bcae7d72e84620

[ "Apache-2.0", "MIT" ]

64

2015-02-26T02:56:57.000Z

2021-11-07T20:40:11.000Z

tests/test_markdown.py

tripleee/ChatExchange

5509c7ec1efd5b55d4051d6966bcae7d72e84620

[ "Apache-2.0", "MIT" ]

53

2015-01-29T03:37:23.000Z

2021-08-15T11:09:05.000Z

tests/test_markdown.py

tripleee/ChatExchange

5509c7ec1efd5b55d4051d6966bcae7d72e84620

[ "Apache-2.0", "MIT" ]

39

2015-02-11T16:37:40.000Z

2021-01-12T18:53:40.000Z

import sys import logging if sys.version_info[:2] <= (2, 6): logging.Logger.getChild = lambda self, suffix:\ self.manager.getLogger('.'.join((self.name, suffix)) if self.root is not self else suffix) import pytest from chatexchange.markdown_detector import markdown logger = logging.getLogger(__name__) def test_markdown(): assert markdown('no markdown here') is None assert markdown(' code formatting') is not None assert markdown('hello `code` here') is not None assert markdown('bare url https://example.com/link gets linked') is not None assert markdown('[hello](http://example.com/hello)') is not None assert markdown('adjacent[hello](http://example.com/hello)text') is not None assert markdown('adjacent.[hello](https://example.com/hello).x') is not None assert markdown('[ftp](ftp://example.com/link) works too') is not None assert markdown('text with *italics*') is not None assert markdown('and **bold** too') is not None assert markdown('*not italics') is None assert markdown('**not bold either') is None assert markdown('***not both neither too also as well') is None assert markdown('****not bold or italic') is None # Odd corner cases: many backticks assert markdown('two ``backticks`` code') is not None assert markdown('unpaired `single double`` fail') is None assert markdown('unpaired `single triple``` fail') is None # Weirdly, 'unpaired ``double triple```' gets rendered as # 'unpaired <code>double triple</code>`' #assert markdown('unpaired ``double triple``` fail') is not None assert markdown('``````````````````18 ticks``````````````````') is not None # Odd corner cases: broken links assert markdown( '[](http://example.com/link) gets linked inside parens') is not None assert markdown('[no link]() is not linked') is None assert markdown('[mailto is not linked](mailto:self@example.com)') is None assert markdown('[sftp](sftp://example.com/link) is not linked') is None assert markdown('[ftps](ftps://example.com/link) is not linked') is None assert markdown( '[https://example.com/no-link]() link in square brackets') is not None assert markdown( 'empty anchor, link in parens [](https://example.com/)') is not None # Odd corner cases: mixed bold and italics assert markdown('this is ***bold italics***') is not None assert markdown('this is **bold and *italics* too**') is not None assert markdown( 'this is *italics and **bold** and **more** too*') is not None # Odd corner cases: broken bold or italics assert markdown('**unpaired neither*') is None assert markdown('*unpaired nor**') is None assert markdown('***unpaired** in the end') is None # chat actually briefly formats as bold italics, then reverts #assert markdown('****this is weird****') is None

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d1e35468812dfeba245515055cc9981eeb5b168b

313

py

Python

test.py

QBitor/Neuromorphic_AE_Tools

b20f5f931e82888dfc4eebd7b19b2746d142d4bb

[ "MIT" ]

4

2019-02-19T14:19:14.000Z

2019-07-29T02:46:47.000Z

test.py

ndouard/Neuromorphic_AE_Tools

b20f5f931e82888dfc4eebd7b19b2746d142d4bb

[ "MIT" ]

null

test.py

ndouard/Neuromorphic_AE_Tools

b20f5f931e82888dfc4eebd7b19b2746d142d4bb

[ "MIT" ]

2

2018-03-05T22:52:53.000Z

2018-09-13T21:47:00.000Z

x_indexes = [i for i, j in enumerate(xaddr)] if j == myxaddr] y_indexes = [i for i, j in enumerate(yaddr)] if j == myyaddr] print('x_indexes: ' + str(x_indexes)) print('y_indexes:' +str(y_indexes)) # keep common indexes common = [i for i, j in zip(x_indexes, y_indexes) if i == j] print('common: ' + str(common))

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py

Python

Django/env_python3.6.1/Lib/site-packages/setupfiles/__init__.py

archu2020/python-2

19c626ca9fd37168db8a7ac075fd80c8e2971313

[ "Apache-2.0" ]

48

2017-12-24T12:19:55.000Z

2022-02-26T13:14:27.000Z

Django/env_python3.6.1/Lib/site-packages/setupfiles/__init__.py

17610178081/python

3975c678d985c468deecd03560d882e9d316bb63

[ "Apache-2.0" ]

6

2017-11-10T19:45:18.000Z

2017-11-12T14:50:42.000Z

Django/env_python3.6.1/Lib/site-packages/setupfiles/__init__.py

17610178081/python

3975c678d985c468deecd03560d882e9d316bb63

[ "Apache-2.0" ]

113

2017-08-09T03:10:04.000Z

2022-03-26T16:05:01.000Z

#!/usr/bin/env python import distutils from setupfiles.dist import DistributionMetadata from setupfiles.setup import setup __all__ = ["setup"] distutils.dist.DistributionMetadata = DistributionMetadata distutils.core.setup = setup

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ae06e563dacfb2f601bc91857ad8c0255bdbcc8b

1,292

py

Python

env/Lib/site-packages/OpenGL/GLES2/EXT/sRGB_write_control.py

5gconnectedbike/Navio2

8c3f2b5d8bbbcea1fc08739945183c12b206712c

[ "BSD-3-Clause" ]

210

2016-04-09T14:26:00.000Z

2022-03-25T18:36:19.000Z

env/Lib/site-packages/OpenGL/GLES2/EXT/sRGB_write_control.py

5gconnectedbike/Navio2

8c3f2b5d8bbbcea1fc08739945183c12b206712c

[ "BSD-3-Clause" ]

72

2016-09-04T09:30:19.000Z

2022-03-27T17:06:53.000Z

env/Lib/site-packages/OpenGL/GLES2/EXT/sRGB_write_control.py

5gconnectedbike/Navio2

8c3f2b5d8bbbcea1fc08739945183c12b206712c

[ "BSD-3-Clause" ]

64

2016-04-09T14:26:49.000Z

2022-03-21T11:19:47.000Z

'''OpenGL extension EXT.sRGB_write_control This module customises the behaviour of the OpenGL.raw.GLES2.EXT.sRGB_write_control to provide a more Python-friendly API Overview (from the spec) This extension's intent is to expose new functionality which allows an application the ability to decide if the conversion from linear space to sRGB is necessary by enabling or disabling this conversion at framebuffer write or blending time. An application which passes non-linear vector data to a shader may not want the color conversion occurring, and by disabling conversion the application can be simplified, sometimes in very significant and more optimal ways. The official definition of this extension is available here: http://www.opengl.org/registry/specs/EXT/sRGB_write_control.txt ''' from OpenGL import platform, constant, arrays from OpenGL import extensions, wrapper import ctypes from OpenGL.raw.GLES2 import _types, _glgets from OpenGL.raw.GLES2.EXT.sRGB_write_control import * from OpenGL.raw.GLES2.EXT.sRGB_write_control import _EXTENSION_NAME def glInitSrgbWriteControlEXT(): '''Return boolean indicating whether this extension is available''' from OpenGL import extensions return extensions.hasGLExtension( _EXTENSION_NAME ) ### END AUTOGENERATED SECTION

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3

ae07a130b3eed404ad6c84e0c2e825a8a33c151b

595

bzl

Python

source/bazel/deps/osdialog/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

33

2019-05-30T07:43:32.000Z

2021-12-30T13:12:32.000Z

source/bazel/deps/osdialog/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

371

2019-05-16T15:23:50.000Z

2021-09-04T15:45:27.000Z

source/bazel/deps/osdialog/get.bzl

luxe/unilang

6c8a431bf61755f4f0534c6299bd13aaeba4b69e

[ "MIT" ]

6

2019-08-22T17:37:36.000Z

2020-11-07T07:15:32.000Z

# Do not edit this file directly. # It was auto-generated by: code/programs/reflexivity/reflexive_refresh load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") def osdialog(): http_archive( name="osdialog" , build_file="//bazel/deps/osdialog:build.BUILD" , sha256="3fc6dabcf1fcfdca5fd87f2474a113e17212da4211b3fa3deecd263a6a59dc26" , strip_prefix="osdialog-a3ca84070c620b186f475ea17b86e65efab5ce57" , urls = [ "https://github.com/Unilang/osdialog/archive/a3ca84070c620b186f475ea17b86e65efab5ce57.tar.gz", ], )

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null

0

1

0

1

0

null

0

1

0

3

ae1dba2c9332b1aaf3dca98391c5242cc59d4eab

322

py

Python

jd/api/rest/ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest.py

jof2jc/jd

691bf22c68ed88fb3fb32bfb43dd6da75024994a

[ "MIT" ]

null

jd/api/rest/ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest.py

jof2jc/jd

691bf22c68ed88fb3fb32bfb43dd6da75024994a

[ "MIT" ]

null

jd/api/rest/ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest.py

jof2jc/jd

691bf22c68ed88fb3fb32bfb43dd6da75024994a

[ "MIT" ]

null

from jd.api.base import RestApi class ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest(RestApi): def __init__(self,domain,port=80): RestApi.__init__(self,domain, port) self.assFid = None def getapiname(self): return 'jingdong.com.jd.ql.basic.ws.glsc.GlscBasicSecondaryWS.getAssortByFid'

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null

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null

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1

0

3

ae209fc837cb7fa92d358e927f5a60ae96f43be3

682

py

Python

tensorflow_gnn/tools/generate_training_data_test.py

mattdangerw/gnn

f39d3ea0d8fc6e51cf58814873fc1502c12554ae

[ "Apache-2.0" ]

611

2021-11-18T06:04:10.000Z

2022-03-29T11:46:42.000Z

tensorflow_gnn/tools/generate_training_data_test.py

mattdangerw/gnn

f39d3ea0d8fc6e51cf58814873fc1502c12554ae

[ "Apache-2.0" ]

25

2021-11-18T17:21:12.000Z

2022-03-31T06:36:55.000Z

tensorflow_gnn/tools/generate_training_data_test.py

mattdangerw/gnn

f39d3ea0d8fc6e51cf58814873fc1502c12554ae

[ "Apache-2.0" ]

52

2021-11-18T23:12:30.000Z

2022-03-27T06:31:08.000Z

"""Unit tests for generate training data test.""" from os import path from absl import flags import tensorflow as tf from tensorflow_gnn.tools import generate_training_data from tensorflow_gnn.utils import test_utils FLAGS = flags.FLAGS class GenerateDataTest(tf.test.TestCase): def test_generate_training_data(self): schema_filename = test_utils.get_resource("examples/schemas/mpnn.pbtxt") output_filename = path.join(FLAGS.test_tmpdir, "examples.tfrecords") generate_training_data.generate_training_data( schema_filename, output_filename, "tfrecord", 64) self.assertTrue(path.exists(output_filename)) if __name__ == "__main__": tf.test.main()

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null

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1

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3

ae21fa093e46f99cba061fc2247a9c451b1f519b

218

py

Python

FullContact/utils.py

KamalAwasthi/FullContact

fa2e9f29079064b015848d980ddbb8da51f323c9

[ "Apache-2.0" ]

2

2018-05-31T16:21:06.000Z

2019-11-28T11:58:12.000Z

FullContact/utils.py

KamalAwasthi/FullContact

fa2e9f29079064b015848d980ddbb8da51f323c9

[ "Apache-2.0" ]

null

FullContact/utils.py

KamalAwasthi/FullContact

fa2e9f29079064b015848d980ddbb8da51f323c9

[ "Apache-2.0" ]

2

2018-02-12T16:37:08.000Z

2019-11-28T11:58:24.000Z

import requests def getContacts(email): payload = {'email': email} r = requests.get('https://api.fullcontact.com/v2/person.json', params=payload, headers={"X-FullContact-APIKey": "841831f8eef0a46f"}) return r.text

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218

6

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0

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null

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1

0

null

0

1

0

3

ae340b92aadfe682e4f7ba5a3b3a05872dd322d2

192

py

Python

pyravendb/data/counters.py

CDuPlooy/ravendb-python-client

dbe51ee8eea166e0d9e60897ab480dd9a693366b

[ "MIT" ]

19

2019-02-16T14:39:38.000Z

2022-03-23T12:27:00.000Z

pyravendb/data/counters.py

CDuPlooy/ravendb-python-client

dbe51ee8eea166e0d9e60897ab480dd9a693366b

[ "MIT" ]

24

2018-10-21T07:31:21.000Z

2022-03-27T17:27:29.000Z

pyravendb/data/counters.py

CDuPlooy/ravendb-python-client

dbe51ee8eea166e0d9e60897ab480dd9a693366b

[ "MIT" ]

14

2018-08-14T07:58:46.000Z

2022-01-05T12:20:08.000Z

from enum import Enum class CounterOperationType(Enum): none = "None" increment = "Increment" delete = "Delete" get = "Get" def __str__(self): return self.value

16

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3

ae3c1e0a31bb35705167a39456828a45fbe7fc2b

157

py

Python

lessons/Test_and_function_programming_in_Python/project/tests/test_sum_benchmark.py

johnklee/oo_dp_lesson

06814a88b86b38435e0ed8f305ce9e50c1aac1f6

[ "MIT" ]

null

lessons/Test_and_function_programming_in_Python/project/tests/test_sum_benchmark.py

johnklee/oo_dp_lesson

06814a88b86b38435e0ed8f305ce9e50c1aac1f6

[ "MIT" ]

7

2021-06-07T03:52:37.000Z

2022-03-14T11:07:31.000Z

lessons/Test_and_function_programming_in_Python/project/tests/test_sum_benchmark.py

johnklee/oo_dp_lesson

06814a88b86b38435e0ed8f305ce9e50c1aac1f6

[ "MIT" ]

null

from my_sum import sum def test_sum_benchmark(benchmark): hundred_one_list = [1] * 100 result = benchmark(sum, hundred_one_list) assert result == 100

22.428571

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null

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3

ae581ce55f5c70d548f9c9c2e1e5bda4e73bac54

11,401

py

Python

segmentron/utils/visualize.py

GhadeerElmkaiel/Trans2Seg

6717db602205cbed494ae1913ac7cbbca8e83463

[ "Apache-2.0" ]

null

segmentron/utils/visualize.py

GhadeerElmkaiel/Trans2Seg

6717db602205cbed494ae1913ac7cbbca8e83463

[ "Apache-2.0" ]

null

segmentron/utils/visualize.py

GhadeerElmkaiel/Trans2Seg

6717db602205cbed494ae1913ac7cbbca8e83463

[ "Apache-2.0" ]

null

import os import logging import numpy as np import torch from PIL import Image #from torchsummary import summary from thop import profile __all__ = ['get_color_pallete', 'print_iou', 'set_img_color', 'show_prediction', 'show_colorful_images', 'save_colorful_images'] def print_iou(iu, mean_pixel_acc, class_names=None, show_no_back=False): n = iu.size lines = [] for i in range(n): if class_names is None: cls = 'Class %d:' % (i + 1) else: cls = '%d %s' % (i + 1, class_names[i]) # lines.append('%-8s: %.3f%%' % (cls, iu[i] * 100)) mean_IU = np.nanmean(iu) mean_IU_no_back = np.nanmean(iu[1:]) if show_no_back: lines.append('mean_IU: %.3f%% || mean_IU_no_back: %.3f%% || mean_pixel_acc: %.3f%%' % ( mean_IU * 100, mean_IU_no_back * 100, mean_pixel_acc * 100)) else: lines.append('mean_IU: %.3f%% || mean_pixel_acc: %.3f%%' % (mean_IU * 100, mean_pixel_acc * 100)) lines.append('=================================================') line = "\n".join(lines) print(line) @torch.no_grad() def show_flops_params(model, device, input_shape=[1, 3, 512, 512]): #summary(model, tuple(input_shape[1:]), device=device) input = torch.randn(*input_shape).to(torch.device(device)) flops, params = profile(model, inputs=(input,), verbose=False) logging.info('{} flops: {:.3f}G input shape is {}, params: {:.3f}M'.format( model.__class__.__name__, flops / 1000000000, input_shape[1:], params / 1000000)) def set_img_color(img, label, colors, background=0, show255=False): for i in range(len(colors)): if i != background: img[np.where(label == i)] = colors[i] if show255: img[np.where(label == 255)] = 255 return img def show_prediction(img, pred, colors, background=0): im = np.array(img, np.uint8) set_img_color(im, pred, colors, background) out = np.array(im) return out def show_colorful_images(prediction, palettes): im = Image.fromarray(palettes[prediction.astype('uint8').squeeze()]) im.show() def save_colorful_images(prediction, filename, output_dir, palettes): ''' :param prediction: [B, H, W, C] ''' im = Image.fromarray(palettes[prediction.astype('uint8').squeeze()]) fn = os.path.join(output_dir, filename) out_dir = os.path.split(fn)[0] if not os.path.exists(out_dir): os.mkdir(out_dir) im.save(fn) def get_color_pallete(npimg, dataset='cityscape'): """Visualize image. Parameters ---------- npimg : numpy.ndarray Single channel image with shape `H, W, 1`. dataset : str, default: 'pascal_voc' The dataset that model pretrained on. ('pascal_voc', 'ade20k') Returns ------- out_img : PIL.Image Image with color pallete """ # recovery boundary if dataset in ('pascal_voc', 'pascal_aug'): npimg[npimg == -1] = 255 # put colormap if dataset == 'ade20k': npimg = npimg + 1 out_img = Image.fromarray(npimg.astype('uint8')) out_img.putpalette(adepallete) return out_img elif dataset == 'cityscape': out_img = Image.fromarray(npimg.astype('uint8')) out_img.putpalette(cityscapepallete) return out_img elif dataset == 'trans10kv2' or dataset == 'transparent11': out_img = Image.fromarray(npimg.astype('uint8')) out_img.putpalette(trans10kv2pallete) return out_img elif dataset == 'pascal_voc': out_img = Image.fromarray(npimg.astype('uint8')) out_img.putpalette(vocpallete) return out_img elif dataset == 'sber_dataset': out_img = Image.fromarray(npimg.astype('uint8')) out_img.putpalette(sberpallete) return out_img elif dataset == 'sber_dataset_all': out_img = Image.fromarray(npimg.astype('uint8')) out_img.putpalette(sberallpallete) return out_img elif dataset == 'sber_dataset_all_no_fu': out_img = Image.fromarray(npimg.astype('uint8')) out_img.putpalette(sberallNoFUpallete) return out_img def _getvocpallete(num_cls): n = num_cls pallete = [0] * (n * 3) for j in range(0, n): lab = j pallete[j * 3 + 0] = 0 pallete[j * 3 + 1] = 0 pallete[j * 3 + 2] = 0 i = 0 while (lab > 0): pallete[j * 3 + 0] |= (((lab >> 0) & 1) << (7 - i)) pallete[j * 3 + 1] |= (((lab >> 1) & 1) << (7 - i)) pallete[j * 3 + 2] |= (((lab >> 2) & 1) << (7 - i)) i = i + 1 lab >>= 3 return pallete vocpallete = _getvocpallete(256) adepallete = [ 0, 0, 0, 120, 120, 120, 180, 120, 120, 6, 230, 230, 80, 50, 50, 4, 200, 3, 120, 120, 80, 140, 140, 140, 204, 5, 255, 230, 230, 230, 4, 250, 7, 224, 5, 255, 235, 255, 7, 150, 5, 61, 120, 120, 70, 8, 255, 51, 255, 6, 82, 143, 255, 140, 204, 255, 4, 255, 51, 7, 204, 70, 3, 0, 102, 200, 61, 230, 250, 255, 6, 51, 11, 102, 255, 255, 7, 71, 255, 9, 224, 9, 7, 230, 220, 220, 220, 255, 9, 92, 112, 9, 255, 8, 255, 214, 7, 255, 224, 255, 184, 6, 10, 255, 71, 255, 41, 10, 7, 255, 255, 224, 255, 8, 102, 8, 255, 255, 61, 6, 255, 194, 7, 255, 122, 8, 0, 255, 20, 255, 8, 41, 255, 5, 153, 6, 51, 255, 235, 12, 255, 160, 150, 20, 0, 163, 255, 140, 140, 140, 250, 10, 15, 20, 255, 0, 31, 255, 0, 255, 31, 0, 255, 224, 0, 153, 255, 0, 0, 0, 255, 255, 71, 0, 0, 235, 255, 0, 173, 255, 31, 0, 255, 11, 200, 200, 255, 82, 0, 0, 255, 245, 0, 61, 255, 0, 255, 112, 0, 255, 133, 255, 0, 0, 255, 163, 0, 255, 102, 0, 194, 255, 0, 0, 143, 255, 51, 255, 0, 0, 82, 255, 0, 255, 41, 0, 255, 173, 10, 0, 255, 173, 255, 0, 0, 255, 153, 255, 92, 0, 255, 0, 255, 255, 0, 245, 255, 0, 102, 255, 173, 0, 255, 0, 20, 255, 184, 184, 0, 31, 255, 0, 255, 61, 0, 71, 255, 255, 0, 204, 0, 255, 194, 0, 255, 82, 0, 10, 255, 0, 112, 255, 51, 0, 255, 0, 194, 255, 0, 122, 255, 0, 255, 163, 255, 153, 0, 0, 255, 10, 255, 112, 0, 143, 255, 0, 82, 0, 255, 163, 255, 0, 255, 235, 0, 8, 184, 170, 133, 0, 255, 0, 255, 92, 184, 0, 255, 255, 0, 31, 0, 184, 255, 0, 214, 255, 255, 0, 112, 92, 255, 0, 0, 224, 255, 112, 224, 255, 70, 184, 160, 163, 0, 255, 153, 0, 255, 71, 255, 0, 255, 0, 163, 255, 204, 0, 255, 0, 143, 0, 255, 235, 133, 255, 0, 255, 0, 235, 245, 0, 255, 255, 0, 122, 255, 245, 0, 10, 190, 212, 214, 255, 0, 0, 204, 255, 20, 0, 255, 255, 255, 0, 0, 153, 255, 0, 41, 255, 0, 255, 204, 41, 0, 255, 41, 255, 0, 173, 0, 255, 0, 245, 255, 71, 0, 255, 122, 0, 255, 0, 255, 184, 0, 92, 255, 184, 255, 0, 0, 133, 255, 255, 214, 0, 25, 194, 194, 102, 255, 0, 92, 0, 255] cityscapepallete = [ 128, 64, 128, 244, 35, 232, 70, 70, 70, 102, 102, 156, 190, 153, 153, 153, 153, 153, 250, 170, 30, 220, 220, 0, 107, 142, 35, 152, 251, 152, 0, 130, 180, 220, 20, 60, 255, 0, 0, 0, 0, 142, 0, 0, 70, 0, 60, 100, 0, 80, 100, 0, 0, 230, 119, 11, 32, ] trans10kv2pallete = [ 0, 0, 0, 120, 120, 70, 235, 255, 7, 6, 230, 230, 204, 255, 4, 120, 120, 120, 140, 140, 140, 255, 51, 7, 224, 5, 255, 204, 5, 255, 150, 5, 61, 4, 250, 7] sberpallete = [ 255, 255, 255, 255, 0, 0, 0, 0, 0, ] # sberallpallete = [ # 102, 255, 102, # Mirror # 51, 221, 255, # Glass # 245, 147, 49, # FU # 184, 61, 245, # Other Optical Surface # 250, 50, 83, # Floor # 0, 0, 0, # ] sberallNoFUpallete = [ 102, 255, 102, # Mirror 51, 221, 255, # Glass # 245, 147, 49, # FU 250, 50, 83, # Floor 184, 61, 245, # Other Optical Surface 0, 0, 0, ] sberallpallete = [ 102, 255, 102, # Mirror 51, 221, 255, # Glass 245, 147, 49, # FU 184, 61, 245, # Other Optical Surface 250, 50, 83, # Floor 0, 0, 0, 6, 6, 6, 7, 7, 7, 8, 8, 8, 9, 9, 9, 10, 10, 10, 11, 11, 11, 12, 12, 12, 13, 13, 13, 14, 14, 14, 15, 15, 15, 16, 16, 16, 17, 17, 17, 18, 18, 18, 19, 19, 19, 20, 20, 20, 21, 21, 21, 22, 22, 22, 23, 23, 23, 24, 24, 24, 25, 25, 25, 26, 26, 26, 27, 27, 27, 28, 28, 28, 29, 29, 29, 30, 30, 30, 31, 31, 31, 32, 32, 32, 33, 33, 33, 34, 34, 34, 35, 35, 35, 36, 36, 36, 37, 37, 37, 38, 38, 38, 39, 39, 39, 40, 40, 40, 41, 41, 41, 42, 42, 42, 43, 43, 43, 44, 44, 44, 45, 45, 45, 46, 46, 46, 47, 47, 47, 48, 48, 48, 49, 49, 49, 50, 50, 50, 51, 51, 51, 52, 52, 52, 53, 53, 53, 54, 54, 54, 55, 55, 55, 56, 56, 56, 57, 57, 57, 58, 58, 58, 59, 59, 59, 60, 60, 60, 61, 61, 61, 62, 62, 62, 63, 63, 63, 64, 64, 64, 65, 65, 65, 66, 66, 66, 67, 67, 67, 68, 68, 68, 69, 69, 69, 70, 70, 70, 71, 71, 71, 72, 72, 72, 73, 73, 73, 74, 74, 74, 75, 75, 75, 76, 76, 76, 77, 77, 77, 78, 78, 78, 79, 79, 79, 80, 80, 80, 81, 81, 81, 82, 82, 82, 83, 83, 83, 84, 84, 84, 85, 85, 85, 86, 86, 86, 87, 87, 87, 88, 88, 88, 89, 89, 89, 90, 90, 90, 91, 91, 91, 92, 92, 92, 93, 93, 93, 94, 94, 94, 95, 95, 95, 96, 96, 96, 97, 97, 97, 98, 98, 98, 99, 99, 99, 100, 100, 100, 101, 101, 101, 102, 102, 102, 103, 103, 103, 104, 104, 104, 105, 105, 105, 106, 106, 106, 107, 107, 107, 108, 108, 108, 109, 109, 109, 110, 110, 110, 111, 111, 111, 112, 112, 112, 113, 113, 113, 114, 114, 114, 115, 115, 115, 116, 116, 116, 117, 117, 117, 118, 118, 118, 119, 119, 119, 120, 120, 120, 121, 121, 121, 122, 122, 122, 123, 123, 123, 124, 124, 124, 125, 125, 125, 126, 126, 126, 127, 127, 127, 128, 128, 128, 129, 129, 129, 130, 130, 130, 131, 131, 131, 132, 132, 132, 133, 133, 133, 134, 134, 134, 135, 135, 135, 136, 136, 136, 137, 137, 137, 138, 138, 138, 139, 139, 139, 140, 140, 140, 141, 141, 141, 142, 142, 142, 143, 143, 143, 144, 144, 144, 145, 145, 145, 146, 146, 146, 147, 147, 147, 148, 148, 148, 149, 149, 149, 150, 150, 150, 151, 151, 151, 152, 152, 152, 153, 153, 153, 154, 154, 154, 155, 155, 155, 156, 156, 156, 157, 157, 157, 158, 158, 158, 159, 159, 159, 160, 160, 160, 161, 161, 161, 162, 162, 162, 163, 163, 163, 164, 164, 164, 165, 165, 165, 166, 166, 166, 167, 167, 167, 168, 168, 168, 169, 169, 169, 170, 170, 170, 171, 171, 171, 172, 172, 172, 173, 173, 173, 174, 174, 174, 175, 175, 175, 176, 176, 176, 177, 177, 177, 178, 178, 178, 179, 179, 179, 180, 180, 180, 181, 181, 181, 182, 182, 182, 183, 183, 183, 184, 184, 184, 185, 185, 185, 186, 186, 186, 187, 187, 187, 188, 188, 188, 189, 189, 189, 190, 190, 190, 191, 191, 191, 192, 192, 192, 193, 193, 193, 194, 194, 194, 195, 195, 195, 196, 196, 196, 197, 197, 197, 198, 198, 198, 199, 199, 199, 200, 200, 200, 201, 201, 201, 202, 202, 202, 203, 203, 203, 204, 204, 204, 205, 205, 205, 206, 206, 206, 207, 207, 207, 208, 208, 208, 209, 209, 209, 210, 210, 210, 211, 211, 211, 212, 212, 212, 213, 213, 213, 214, 214, 214, 215, 215, 215, 216, 216, 216, 217, 217, 217, 218, 218, 218, 219, 219, 219, 220, 220, 220, 221, 221, 221, 222, 222, 222, 223, 223, 223, 224, 224, 224, 225, 225, 225, 226, 226, 226, 227, 227, 227, 228, 228, 228, 229, 229, 229, 230, 230, 230, 231, 231, 231, 232, 232, 232, 233, 233, 233, 234, 234, 234, 235, 235, 235, 236, 236, 236, 237, 237, 237, 238, 238, 238, 239, 239, 239, 240, 240, 240, 241, 241, 241, 242, 242, 242, 243, 243, 243, 244, 244, 244, 245, 245, 245, 246, 246, 246, 247, 247, 247, 248, 248, 248, 249, 249, 249, 250, 250, 250, 251, 251, 251, 252, 252, 252, 253, 253, 253, 254, 254, 254, 255, 255, 255]

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smileyjoe_io/constant.py

SmileyJoe/smileyjoe_io

29e3b55e33f17f799f59801158499809fcce0af4

[ "MIT" ]

null

smileyjoe_io/constant.py

SmileyJoe/smileyjoe_io

29e3b55e33f17f799f59801158499809fcce0af4

[ "MIT" ]

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2020-02-11T23:34:28.000Z

2020-06-05T17:33:09.000Z

smileyjoe_io/constant.py

SmileyJoe/smileyjoe_io

29e3b55e33f17f799f59801158499809fcce0af4

[ "MIT" ]

null

SUB_SECRET = 'secret' SUB_MAIN = 'main'

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py

Python

crawlerhttp/http_header_generator.py

mcmin001/NBCrawler

ec6a348e32889fb9252651b203a725a39b6836ec

[ "Apache-2.0" ]

null

crawlerhttp/http_header_generator.py

mcmin001/NBCrawler

ec6a348e32889fb9252651b203a725a39b6836ec

[ "Apache-2.0" ]

null

crawlerhttp/http_header_generator.py

mcmin001/NBCrawler

ec6a348e32889fb9252651b203a725a39b6836ec

[ "Apache-2.0" ]

null

def get_http_header(user_agent): # 字典数据类型 dict headers = { 'user-agent': user_agent } return headers

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src/radixlib/constants.py

0xOmarA/RadixLib

85d75a47d4c4df4c1a319b74857ae2c513933623

[ "MIT" ]

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2022-01-12T16:52:28.000Z

2022-03-24T18:05:47.000Z

src/radixlib/constants.py

0xOmarA/RadixLib

85d75a47d4c4df4c1a319b74857ae2c513933623

[ "MIT" ]

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2022-01-12T17:01:55.000Z

2022-02-12T15:14:16.000Z

src/radixlib/constants.py

0xOmarA/RadixLib

85d75a47d4c4df4c1a319b74857ae2c513933623

[ "MIT" ]

1

2022-01-21T04:28:07.000Z

from typing import Dict XRD_RRI: Dict[str, str] = { "mainnet": "xrd_rr1qy5wfsfh", "stokenet": "xrd_tr1qyf0x76s", "betanet": "xrd_br1qy73gwac", "localnet": "" }

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ginger/scripts/templates/app_templates/app_name/urls.py

vivsh/django-ginger

d293109becc72845a23f2aeb732ed808a7a67d69

[ "MIT" ]

null

ginger/scripts/templates/app_templates/app_name/urls.py

vivsh/django-ginger

d293109becc72845a23f2aeb732ed808a7a67d69

[ "MIT" ]

null

ginger/scripts/templates/app_templates/app_name/urls.py

vivsh/django-ginger

d293109becc72845a23f2aeb732ed808a7a67d69

[ "MIT" ]

null

from django.conf.urls import url, patterns from . import views urlpatterns = patterns("", )

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Python

mobula/solvers/LRUpdater.py

wkcn/mobula

4eec938d6477776f5f2d68bcf41de83fb8da5195

[ "MIT" ]

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2017-07-15T02:13:18.000Z

2022-01-01T09:37:59.000Z

mobula/solvers/LRUpdater.py

wkcn/mobula

4eec938d6477776f5f2d68bcf41de83fb8da5195

[ "MIT" ]

3

2018-06-22T13:55:12.000Z

2020-01-29T01:41:13.000Z

mobula/solvers/LRUpdater.py

wkcn/mobula

4eec938d6477776f5f2d68bcf41de83fb8da5195

[ "MIT" ]

8

2017-09-03T12:42:54.000Z

2020-09-27T03:38:59.000Z

#coding=utf-8 import numpy as np # TODO: MULTISTEP LR_POLICY_NUM = 7 class LR_POLICY: FIXED, STEP, EXP, INV, MULTISTEP, POLY, SIGMOID = range(LR_POLICY_NUM) class LRUpdater: def __init__(self, *args, **kwargs): if "base_lr" in kwargs: self.base_lr = kwargs["base_lr"] else: self.base_lr = kwargs.get("lr", 1.0) self.gamma = kwargs.get("gamma", None) self.stepsize = kwargs.get("stepsize", None) self.power = kwargs.get("power", None) self.max_iter = kwargs.get("max_iter", None) self.method = None self.lr_policy = kwargs.get("lr_policy", LR_POLICY.FIXED) self.set_policy(self.lr_policy) def set_policy(self, p): self.lr_policy = p self.method = LRUpdater.METHODS[p] def get_lr(self, iter_num): return self.method(self, iter_num) def fixed(self, iter_num): return self.base_lr def step(self, iter_num): # gamma, stepsize return self.base_lr * np.power(self.gamma, (iter_num // self.stepsize)) def exp(self, iter_num): # gamma return self.base_lr * np.power(self.gamma, iter_num) def inv(self, iter_num): # gamma, power return self.base_lr * np.power(1.0 + self.gamma * iter_num, -self.power) def poly(self, iter_num): # power, max_iter return self.base_lr * np.power(1 - iter_num * 1.0 / self.max_iter, self.power) def sigmoid(self, iter_num): # gamma, stepsize return self.base_lr * (1.0 / (1.0 + np.exp(-self.gamma * (iter_num - self.stepsize)))) LRUpdater.METHODS = [None] * LR_POLICY_NUM LRUpdater.METHODS[LR_POLICY.FIXED] = LRUpdater.fixed LRUpdater.METHODS[LR_POLICY.STEP] = LRUpdater.step LRUpdater.METHODS[LR_POLICY.EXP] = LRUpdater.exp LRUpdater.METHODS[LR_POLICY.INV] = LRUpdater.inv LRUpdater.METHODS[LR_POLICY.POLY] = LRUpdater.poly LRUpdater.METHODS[LR_POLICY.SIGMOID] = LRUpdater.sigmoid

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Python

urdubiometer/scanner/__init__.py

urdubiometer/urdubiometer

034c1efc0403352caa9c5c944cf9450b8833bb24

[ "BSD-3-Clause" ]

null

urdubiometer/scanner/__init__.py

urdubiometer/urdubiometer

034c1efc0403352caa9c5c944cf9450b8833bb24

[ "BSD-3-Clause" ]

220

2019-07-30T19:20:59.000Z

2022-03-28T10:33:19.000Z

urdubiometer/scanner/__init__.py

urdubiometer/urdubiometer

034c1efc0403352caa9c5c944cf9450b8833bb24

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """Sub-level package for Scanner, a metrical scanner in Urdu BioMeter.""" __author__ = """A. Sean Pue""" __email__ = "a@seanpue.com" from .scanner import * # noqa from .ghazal import * # noqa from .types import * # noqa

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Chapter 02/Chap02_Example2.9.py

bpbpublications/Programming-Techniques-using-Python

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[ "MIT" ]

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Chapter 02/Chap02_Example2.9.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 02/Chap02_Example2.9.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

s1 = "I am a beginner in python \nI will study the concepts to be familiar with this language.\nIt is a very user friendly language" print("The long string is: \n" + s1) # -- L1 s2 = """The long string is: I am a beginner in python I will study the concepts to be familiar with this language. It is a very user friendly language""" print(s2) # -- L2

40.222222

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0.69337

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1

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null

0

3

887318ae1de3947a937b8a9fff9e751422b6ec84

4,059

py

Python

python/quantization.py

simnalamburt/snippets

8ba4cfcb1305d2b82ea892e3305613eeb7ba382b

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

31

2016-01-27T07:03:25.000Z

2022-02-25T07:59:11.000Z

python/quantization.py

simnalamburt/snippets

8ba4cfcb1305d2b82ea892e3305613eeb7ba382b

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

1

2015-01-26T01:27:21.000Z

2015-01-30T16:16:30.000Z

python/quantization.py

simnalamburt/snippets

8ba4cfcb1305d2b82ea892e3305613eeb7ba382b

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

3

2017-02-07T04:17:56.000Z

2020-06-12T05:01:31.000Z

import numpy as np min, max = -0.8777435, 0.57090986 M = np.asmatrix([ [0.02355068, -0.50542802, 0.16642167, -0.44872788, -0.05130898, 0.13320047, 0.41464597, -0.55703336, 0.52567458, 0.23784444, 0.15049535, 0.16599870, -0.28757980, 0.22277315, 0.56460077, -0.70838273, -0.61990398, -0.39724344, -0.09969769, 0.45835119, 0.02840372, 0.09637213, 0.04063996, -0.16667950, -0.68209213, -0.09524837, 0.27514741, 0.02957204, -0.11251312, -0.43414843], [-0.31239739, -0.13213386, -0.59719753, -0.16117097, 0.29835659, -0.21633907, -0.55013347, -0.22406115, -0.47912723, -0.08179668, 0.46718585, 0.38543564, -0.49470344, -0.35172677, -0.23060481, -0.39899889, -0.18135746, -0.54352880, -0.28287631, -0.05576789, 0.20255803, 0.18899839, 0.36582524, 0.43294433, 0.21794824, -0.62954980, -0.52842420, 0.00261285, 0.23226254, 0.27430296], [-0.12496945, 0.27272177, 0.09565081, -0.19869098, 0.40514281, 0.30038768, -0.13575996, -0.01735646, 0.31392211, -0.34690821, -0.26467761, 0.27735108, 0.25757775, 0.56070799, 0.48236406, -0.16126287, -0.56543708, -0.52047604, 0.31337339, 0.31964961, -0.19712290, 0.29141095, 0.25103137, -0.49437916, -0.00175839, -0.39314604, -0.46974984, -0.24069642, -0.07134162, 0.38584659], [-0.22494942, -0.23908727, -0.14118181, 0.25917593, -0.46544874, 0.21652603, 0.11955780, -0.08858330, 0.11210553, 0.15425776, 0.35051644, 0.12857421, -0.31161663, -0.10459967, 0.28051424, 0.35245281, 0.21058421, -0.38336727, -0.53721315, -0.45408809, 0.17018577, 0.37464410, 0.25320616, -0.50858176, 0.03510477, 0.28646398, -0.49693882, 0.31466347, 0.34066224, 0.39151987], [-0.24122262, -0.18464386, -0.50166339, -0.06581594, 0.23343681, -0.28764677, -0.28263095, 0.47374201, -0.14122090, 0.41170570, -0.27171388, -0.76247406, -0.43367779, -0.41885039, -0.58815128, 0.16303478, -0.15360811, 0.40358800, 0.28507465, 0.11577206, -0.05193469, 0.10712312, 0.37356687, 0.17525157, -0.61338550, 0.28956139, 0.04172062, 0.19050168, -0.36498675, -0.48431775], [0.20951799, -0.57114357, 0.16709965, 0.28986153, -0.48571789, 0.17514014, 0.42663154, -0.58854365, -0.49951825, -0.69118619, -0.12997085, 0.20892869, -0.27441102, 0.25154045, 0.33150116, 0.22571780, 0.00198699, -0.21132891, 0.54626226, -0.39937377, 0.09991331, 0.16465400, -0.31479383, 0.19637901, 0.27371463, -0.35296553, 0.32819411, 0.33079246, 0.09111243, -0.15263695], [0.23110701, -0.82688808, 0.35345000, -0.63799143, 0.10259465, -0.67562747, 0.06791017, -0.55785728, 0.11328468, 0.03148035, 0.06963930, -0.40473521, 0.15695126, 0.10480986, 0.06786098, 0.05529213, -0.06358500, 0.39808711, -0.46259707, -0.41053730, 0.23919414, 0.06440434, -0.55259717, 0.17278855, -0.26870996, -0.59644037, -0.20437278, -0.15572956, -0.62037915, 0.20436110], [0.43668377, 0.03184615, -0.79770166, 0.30957624, -0.29246098, 0.41470772, -0.39726156, 0.08003121, 0.32232824, 0.18267424, -0.46286914, -0.52988207, 0.40305007, 0.43693665, 0.57090986, -0.71393168, 0.16701773, -0.01028878, 0.03239791, -0.39907083, 0.20838976, 0.25748143, 0.24718748, -0.05084279, -0.52348840, -0.07115566, -0.33007148, 0.18890919, 0.40487564, 0.28275076], [0.00545317, 0.05541809, -0.29821581, -0.69852740, 0.23890208, -0.58182591, 0.37835562, -0.12874492, -0.24086623, -0.18621640, 0.20001458, -0.55234039, 0.40093267, 0.19279823, -0.56214923, -0.12595257, -0.13790886, 0.04751531, -0.31666499, 0.33546147, 0.19133377, 0.01450487, -0.69050521, -0.15352796, 0.31702802, 0.13524684, 0.08716883, 0.35998338, 0.36140910, -0.18685688], [0.13561521, 0.09853959, 0.23551922, -0.37978131, -0.26070073, 0.43132550, -0.10494933, 0.07914228, 0.04663205, -0.41666678, 0.16825140, 0.51182604, 0.13776678, -0.68972874, -0.72430468, -0.10668162, 0.29812980, -0.13480635, -0.66627938, 0.01717626, -0.11104345, 0.31376141, 0.39751169, -0.19769318, -0.28220543, 0.13042673, 0.42700538, 0.08965667, 0.18087055, -0.87774348], ]) S = (max - min)/127.0 result = np.clip(np.ceil(M/S).astype(int), -128, 127).tolist() print( '\n'.join( ' '.join(str(e) for e in row) for row in result ) )

156.115385

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null

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1

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1

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null

0

3

8875c6d752de20720e19e0bcf7801a8392c5567b

220

py

Python

int/Lib/site-packages/hn/__init__.py

yoniv/shellHN-main

767e78f54403ebd3193ee9ada8672cfc06705967

[ "MIT" ]

null

int/Lib/site-packages/hn/__init__.py

yoniv/shellHN-main

767e78f54403ebd3193ee9ada8672cfc06705967

[ "MIT" ]

null

int/Lib/site-packages/hn/__init__.py

yoniv/shellHN-main

767e78f54403ebd3193ee9ada8672cfc06705967

[ "MIT" ]

1

2021-09-22T10:41:46.000Z

""" Python API for Hacker News. @author Karan Goel @email karan@goel.im """ __title__ = 'hackernews' __author__ = 'Karan Goel' __license__ = 'MIT' __copyright__ = 'Copyright 2014 Karan Goel' from .hn import HN, Story

15.714286

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0.689655

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0.20979

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0.021739

0.163636

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13

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0.755435

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0

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0.2

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0.2

0

1

0

null

1

0

null

0

3

88b0a8ec143545a862b4e668eb425512ef141839

295

py

Python

incal_lib/exportres.py

barel-mishal/InCal_lib

3aa63ebccf2ed3277fac55049c88178541cbb94b

[ "MIT" ]

null

incal_lib/exportres.py

barel-mishal/InCal_lib

3aa63ebccf2ed3277fac55049c88178541cbb94b

[ "MIT" ]

null

incal_lib/exportres.py

barel-mishal/InCal_lib

3aa63ebccf2ed3277fac55049c88178541cbb94b

[ "MIT" ]

null

import numpy as np import pandas as pd from collections import OrderedDict, Counter import itertools from typing import * Group = tuple[str, list[int]] Groups = list[Group] def df_groups(groups: Groups) -> pd.DataFrame: return pd.DataFrame(dict_groups.values(), index=dict_groups.keys())

22.692308

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0.762712

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295

5.162791

0.604651

0.108108

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295

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0.111111

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0.555556

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0.777778

0

null

0

null

0

1

0

3

31f5361ec9609ecfe4d1234a6a87870a550e57fe

316

py

Python

depccg/lang.py

masashi-y/myccg

263fd0afa7a619626fc2d506016625b6068bb27b

[ "MIT" ]

75

2017-05-01T09:32:56.000Z

2022-03-07T02:57:31.000Z

depccg/lang.py

masashi-y/myccg

263fd0afa7a619626fc2d506016625b6068bb27b

[ "MIT" ]

23

2017-05-10T08:28:57.000Z

2022-02-15T05:15:25.000Z

depccg/lang.py

masashi-y/myccg

263fd0afa7a619626fc2d506016625b6068bb27b

[ "MIT" ]

15

2017-05-08T13:02:33.000Z

2022-03-07T01:40:26.000Z

import logging logger = logging.getLogger(__name__) GLOBAL_LANG_NAME = 'en' def set_global_language_to(lang: str) -> None: global GLOBAL_LANG_NAME logger.info('Setting the global language config to: %s', lang) GLOBAL_LANG_NAME = lang def get_global_language() -> str: return GLOBAL_LANG_NAME

17.555556

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45

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0.466667

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0.259259

0

0.177215

316

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0.136508

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0.222222

false

0

0.111111

0.444444

0

null

0

1

0

null

0

1

0

1

0

3

ee3d2db0fde263da3c3eb73afde2fa65a46b2a9d

445

py

Python

models/batchnorm.py

JingweiJ/JointActorActionSeg

d33904f3f2c02094bb0a32bfec3105affff59426

[ "MIT" ]

11

2018-12-12T00:44:09.000Z

2022-01-24T13:25:37.000Z

models/batchnorm.py

JingweiJ/JointActorActionSeg

d33904f3f2c02094bb0a32bfec3105affff59426

[ "MIT" ]

1

2019-04-24T08:25:12.000Z

models/batchnorm.py

JingweiJ/JointActorActionSeg

d33904f3f2c02094bb0a32bfec3105affff59426

[ "MIT" ]

3

2018-12-21T08:13:20.000Z

2020-07-08T22:54:09.000Z

import keras.layers as KL class BatchNorm(KL.BatchNormalization): """Batch Normalization class. Subclasses the Keras BN class and hardcodes training=False so the BN layer doesn't update during training. Batch normalization has a negative effect on training if batches are small so we disable it here. """ def call(self, inputs, training=None): return super(self.__class__, self).call(inputs, training=False)

37.083333

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0.732584

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0.111801

0

0.197753

445

12

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37.083333

0.901961

0.521348

0

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0.25

false

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0.25

1

0

null

0

null

0

1

0

1

0

3

ee7ca142b0ca37407f34d60f1083590fe6f55203

1,179

py

Python

setup.py

jjk01/muMap

fe879039d025d62b51a70a088f3b0b275e134d9b

[ "BSD-3-Clause" ]

8

2021-11-23T10:44:02.000Z

2022-02-23T20:56:05.000Z

setup.py

jjk01/muMap

fe879039d025d62b51a70a088f3b0b275e134d9b

[ "BSD-3-Clause" ]

null

setup.py

jjk01/muMap

fe879039d025d62b51a70a088f3b0b275e134d9b

[ "BSD-3-Clause" ]

2

2021-12-05T16:52:15.000Z

2022-03-31T22:15:09.000Z

#! /usr/bin/env python from setuptools import setup VERSION = "1.0" AUTHOR = "James Klatzow, Virginie Uhlmann" AUTHOR_EMAIL = "uhlmann@ebi.ac.uk" setup( name="microMatch", version=VERSION, description="3D shape correspondence for microscopy data", author=AUTHOR, author_email=AUTHOR_EMAIL, packages=[ "mumatch", ], classifiers=[ "Intended Audience :: Science/Research", "Intended Audience :: Developers", "License :: OSI Approved", "Programming Language :: C", "Programming Language :: Python", "Topic :: Software Development", "Topic :: Scientific/Engineering", "Operating System :: POSIX", "Operating System :: Unix", "Operating System :: MacOS", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: " "Implementation :: CPython", ], url="https://github.com/uhlmanngroup/muMatch", python_requires=">=3.6", )

29.475

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0.605598

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1,179

6.283186

0.584071

0.214085

0.246479

0.183099

0

0.015927

0.254453

1,179

39

74

30.230769

0.791809

0.017812

0

0.058824

0

0.585134

0.019015

0

1

0

false

0

0.029412

0

0.029412

0

null

1

0

null

0

3

c9df6ba0ed0d28f7270862edcecc5a88bc403d3d

615

py

Python

arcade/rainbow.py

itsMadesh/python-personal-programs

05355aa098afd87b345c9a2ca21b48552bf5a23b

[ "MIT" ]

null

arcade/rainbow.py

itsMadesh/python-personal-programs

05355aa098afd87b345c9a2ca21b48552bf5a23b

[ "MIT" ]

null

arcade/rainbow.py

itsMadesh/python-personal-programs

05355aa098afd87b345c9a2ca21b48552bf5a23b

[ "MIT" ]

null

import arcade arcade.open_window(500,750,"Rainbow") arcade.set_background_color(arcade.color.SKY_BLUE) arcade.start_render() arcade.draw_parabola_filled(25,80,500,300,arcade.color.RED,0) arcade.draw_parabola_filled(50,80,470,280,arcade.color.ORANGE,0) arcade.draw_parabola_filled(75,80,440,260,arcade.color.YELLOW ,0) arcade.draw_parabola_filled(100,80,410,240,arcade.color.GREEN,0) arcade.draw_parabola_filled(125,80,380,220,arcade.color.BLUE,0) arcade.draw_parabola_filled(150,80,350,200,arcade.color.INDIGO,0) arcade.draw_parabola_filled(175,80,320,180,arcade.color.VIOLET,0) arcade.finish_render() arcade.run()

43.928571

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null

0

1

0

3

c9e3019d7f86a0fcc9bd9c9aa1f3b2b74e02646a

9,232

py

Python

tests/data/pandas_valid_data.py

craft-ai/craft-ai-client-python

3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3

[ "BSD-3-Clause" ]

14

2016-08-26T07:06:57.000Z

2020-09-22T07:41:21.000Z

tests/data/pandas_valid_data.py

craft-ai/craft-ai-client-python

3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3

[ "BSD-3-Clause" ]

94

2016-08-02T14:07:59.000Z

2021-10-06T11:50:52.000Z

tests/data/pandas_valid_data.py

craft-ai/craft-ai-client-python

3d8b3d9a49c0c70964deaeb9645130dd54f9a0b3

[ "BSD-3-Clause" ]

8

2017-02-07T12:05:57.000Z

2021-10-14T09:45:30.000Z

import pandas as pd import numpy as np from numpy.random import randn from craft_ai.pandas import MISSING_VALUE, OPTIONAL_VALUE from random import random, randint NB_OPERATIONS = 300 NB_MANY_OPERATIONS = 1000 SIMPLE_AGENT_BOOSTING_CONFIGURATION = { "model_type": "boosting", "context": { "a": {"type": "enum"}, "b": {"type": "continuous"}, "c": {"type": "continuous"}, "d": {"type": "continuous"}, "e": {"type": "timezone"}, }, "output": ["a"], "min_samples_per_leaf": 1, "operations_as_events": True, "tree_max_operations": 50000, "num_iterations": 20, "learning_rate": 0.5, } AGENT_BOOSTING_CONFIGURATION_WITHOUT_TIMEZONE = { "model_type": "boosting", "context": { "a": {"type": "enum"}, "b": {"type": "continuous"}, "c": {"type": "day_of_week", "is_generated": True}, "d": {"type": "timezone"}, }, "output": ["a"], "min_samples_per_leaf": 1, "operations_as_events": True, "tree_max_operations": 50000, "num_iterations": 20, "learning_rate": 0.5, } SIMPLE_AGENT_BOOSTING_CONFIGURATION_WITH_GEN_TYPE = { "model_type": "boosting", "context": { "a": {"type": "enum"}, "b": {"type": "continuous"}, "c": {"type": "continuous"}, "d": {"type": "continuous"}, "e": {"type": "timezone"}, "f": {"type": "day_of_week", "is_generated": True}, "g": {"type": "month_of_year"}, }, "output": ["a"], "min_samples_per_leaf": 1, "operations_as_events": True, "tree_max_operations": 50000, "num_iterations": 20, "learning_rate": 0.5, } SIMPLE_AGENT_CONFIGURATION = { "context": { "a": {"type": "continuous"}, "b": {"type": "continuous"}, "c": {"type": "continuous"}, "d": {"type": "continuous"}, "e": {"type": "continuous"}, }, "output": ["a"], "time_quantum": 100, "min_samples_per_leaf": 1, } AGENT_BOOSTING_WITHOUT_TIMEZONE_DATA = pd.DataFrame( [[str(randint(1, 3)), random()] for i in range(NB_OPERATIONS)], columns=["a", "b"], index=pd.date_range("20200101", periods=NB_OPERATIONS, freq="T").tz_localize( "Europe/Paris" ), ) SIMPLE_AGENT_BOOSTING_DATA = pd.DataFrame( [ [str(randint(1, 3)), random(), random(), random(), "+01:00"] for i in range(NB_OPERATIONS) ], columns=["a", "b", "c", "d", "e"], index=pd.date_range("20200101", periods=NB_OPERATIONS, freq="T").tz_localize( "Europe/Paris" ), ) SIMPLE_AGENT_BOOSTING_MANY_DATA = pd.DataFrame( [ [str(randint(1, 3)), random(), random(), random(), "+01:00"] for i in range(NB_MANY_OPERATIONS) ], columns=["a", "b", "c", "d", "e"], index=pd.date_range("20200101", periods=NB_MANY_OPERATIONS, freq="T").tz_localize( "Europe/Paris" ), ) SIMPLE_AGENT_DATA = pd.DataFrame( randn(NB_OPERATIONS, 5), columns=["a", "b", "c", "d", "e"], index=pd.date_range("20200101", periods=NB_OPERATIONS, freq="T").tz_localize( "Europe/Paris" ), ) SIMPLE_AGENT_MANY_DATA = pd.DataFrame( randn(NB_MANY_OPERATIONS, 5), columns=["a", "b", "c", "d", "e"], index=pd.date_range("20200101", periods=NB_MANY_OPERATIONS, freq="T").tz_localize( "Europe/Paris" ), ) SIMPLE_AGENT_DATA_DICT = [ { "timestamp": 1558741230, "context": {"a": 10, "b": 10, "c": 10, "d": 10, "e": 10}, }, {"timestamp": 1558741331, "context": {"a": 10, "b": 11, "c": 12, "e": 13}}, {"timestamp": 1558741432, "context": {"a": 13, "b": 44, "c": 33, "d": 22}}, {"timestamp": 1558741533, "context": {"a": 11, "d": 55, "e": 55}}, {"timestamp": 1558741634, "context": {"a": 33, "c": 66, "d": 22, "e": 44}}, {"timestamp": 1558741735, "context": {"a": 1, "b": 33, "c": 33, "d": 44}}, ] COMPLEX_AGENT_CONFIGURATION = { "context": { "a": {"type": "continuous"}, "b": {"type": "enum"}, "tz": {"type": "timezone"}, }, "output": ["b"], "time_quantum": 100, "min_samples_per_leaf": 1, "operations_as_events": True, "learning_period": 3600 * 24 * 365, "tree_max_operations": 50000, } COMPLEX_AGENT_CONFIGURATION_2 = { "context": { "a": {"type": "continuous"}, "b": {"type": "enum"}, "tz": {"type": "timezone"}, }, "output": ["a"], "time_quantum": 100, "min_samples_per_leaf": 1, "operations_as_events": True, "learning_period": 3600 * 24 * 365, "tree_max_operations": 50000, } COMPLEX_AGENT_DATA = pd.DataFrame( [ [1, "Pierre", "+02:00"], [2, "Paul"], [3], [4], [5, "Jacques"], [6], [7], [8, np.nan, "+01:00"], [9], [10], ], columns=["a", "b", "tz"], index=pd.date_range("20200101", periods=10, freq="D").tz_localize("Europe/Paris"), ) COMPLEX_AGENT_DATA_2 = pd.DataFrame( [ [1, "Pierre", "+02:00", [8, 9]], [2, "Paul"], [3], [4], [5, "Jacques"], [6], [7], [8, np.nan, "+01:00", [1, 2, 3]], [9], [10], ], columns=["a", "b", "tz", "arrays"], index=pd.date_range("20200101", periods=10, freq="D").tz_localize("Europe/Paris"), ) DATETIME_AGENT_CONFIGURATION = { "context": { "a": {"type": "continuous"}, "b": {"type": "enum"}, "myTimeOfDay": {"type": "time_of_day"}, "myCoolTimezone": {"type": "timezone"}, }, "output": ["b"], "time_quantum": 3600, "min_samples_per_leaf": 1, } DATETIME_AGENT_DATA = pd.DataFrame( [ [1, "Pierre", "+02:00"], [2, "Paul"], [3, np.nan, "+04:00"], [4], [5, "Jacques", "UTC"], [6], [7, np.nan, "+08:00"], [8], [9], [10, np.nan, "+10:00"], ], columns=["a", "b", "myCoolTimezone"], index=pd.date_range("20200101 00:00:00", periods=10, freq="H").tz_localize("UTC"), ) MISSING_AGENT_CONFIGURATION = { "context": { "a": {"type": "continuous"}, "b": {"type": "enum"}, "tz": {"type": "timezone"}, }, "output": ["a"], "time_quantum": 100, "min_samples_per_leaf": 1, } MISSING_AGENT_DATA = pd.DataFrame( [ [1, MISSING_VALUE, "+02:00"], [2, "Paul"], [3, OPTIONAL_VALUE], [4], [5, "Jacques"], [6], [np.nan, OPTIONAL_VALUE], [8, None, "+01:00"], [9], [10], ], columns=["a", "b", "tz"], index=pd.date_range("20200101", periods=10, freq="D").tz_localize("Europe/Paris"), ) MISSING_AGENT_DATA_DECISION = pd.DataFrame( [[1, MISSING_VALUE, "+02:00"], [3, OPTIONAL_VALUE]], columns=["a", "b", "tz"], index=pd.date_range("20200101", periods=2, freq="D").tz_localize("Europe/Paris"), ) INVALID_PYTHON_IDENTIFIER_CONFIGURATION = { "context": { "a": {"type": "continuous"}, "1_b": {"type": "enum"}, "None": {"type": "enum"}, "_c": {"type": "enum"}, "tz": {"type": "timezone"}, }, "output": ["a"], "time_quantum": 100, "min_samples_per_leaf": 1, } INVALID_PYTHON_IDENTIFIER_DATA = pd.DataFrame( [ [1, "Pierre", "Mignon", "Toto", "+02:00"], [2, "Paul"], [3], [4, "Tata", "Tutu"], [5, "Jacques"], [6], [7], [8, np.nan, np.nan, np.nan, "+01:00"], [9], [10], ], columns=["a", "1_b", "None", "_c", "tz"], index=pd.date_range("20200101", periods=10, freq="D").tz_localize("Europe/Paris"), ) INVALID_PYTHON_IDENTIFIER_DECISION = pd.DataFrame( [ [1, "Pierre", "Mignon", "Toto", "+02:00"], [2, "Paul", "Mignon", "Toto", "+02:00"], [3, "Tata", "Tutu", "Toto", "+02:00"], ], columns=["a", "1_b", "None", "_c", "tz"], index=pd.date_range("20200101", periods=3, freq="D").tz_localize("Europe/Paris"), ) EMPTY_TREE = { "_version": "2.0.0", "configuration": { "context": { "a": {"type": "continuous"}, "b": {"type": "enum"}, "tz": {"type": "timezone"}, }, "output": ["b"], "time_quantum": 100, "min_samples_per_leaf": 1, }, "trees": { "b": {"output_values": [], "prediction": {"confidence": 0, "nb_samples": 0}} }, } VALID_GENERATOR_CONFIGURATION = { "context": { "a": {"type": "continuous"}, "b": {"type": "continuous"}, "c": {"type": "continuous"}, "d": {"type": "continuous"}, "e": {"type": "continuous"}, }, "output": ["a"], "time_quantum": 100, "operations_as_events": True, "learning_period": 6000000, "tree_max_operations": 50000, "filter": ["test_filter"], } VALID_COMPLEX_GENERATOR_CONFIGURATION = { "context": { "a": {"type": "continuous"}, "b": {"type": "enum"}, "tz": {"type": "timezone"}, }, "output": ["b"], "time_quantum": 100, "operations_as_events": True, "learning_period": 6000000, "tree_max_operations": 50000, "filter": ["test_filter"], } VALID_TIMESTAMP = 1577833200 VALID_LAST_TIMESTAMP = 1577847600

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a0011285cd812341126bdf7a6b702e5a57d05603

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py

Python

old/Lissajous/Lissajous.py

Tony031218/manim-projects

b243dec0f0a007649a92938e90d60eccb4c7dd15

[ "Apache-2.0" ]

45

2019-10-08T23:58:20.000Z

2020-05-20T03:49:15.000Z

old/Lissajous/Lissajous.py

Tony031218/manim-projects

b243dec0f0a007649a92938e90d60eccb4c7dd15

[ "Apache-2.0" ]

null

old/Lissajous/Lissajous.py

Tony031218/manim-projects

b243dec0f0a007649a92938e90d60eccb4c7dd15

[ "Apache-2.0" ]

12

2019-08-15T08:07:22.000Z

2020-05-09T12:34:14.000Z

from manimlib.imports import * from manim_projects.tony_useful.imports import * class Test2DLissajousFromLinesIntersection(Scene): def construct(self): circle_x = Circle(color=RED).shift(UP * 2.5) circle_y = Circle(color=RED).shift(LEFT * 2.5) theta = ValueTracker(0) point_x = Dot().add_updater(lambda m: m.move_to(circle_x.point_at_angle(1 * theta.get_value()))) point_y = Dot().add_updater(lambda m: m.move_to(circle_y.point_at_angle(3 * theta.get_value()))) line_x = Line(UP * 6 , DOWN * 6).add_updater(lambda m: m.move_to(point_x.get_center()[0] * RIGHT)).set_color(GRAY) line_y = Line(LEFT * 8, RIGHT * 8).add_updater(lambda m: m.move_to(point_y.get_center()[1] * UP)).set_color(GRAY) P = Dot(color=BLUE).add_updater(lambda m: m.move_to(line_intersection(line_x.get_start_and_end(), line_y.get_start_and_end()))) path = TracedPath(P.get_center, stroke_width=6, stroke_color=BLUE, min_distance_to_new_point=0.01) self.add(circle_x, circle_y, point_x, point_y, line_x, line_y, P, path) self.wait() self.play(theta.increment_value, PI * 4, run_time=10, rate_func=linear) self.wait() class Test2DLissajousFromParametricFunction(Scene): def construct(self): line = ParametricFunction( lambda t: [np.sin(1 * t + PI / 2), np.sin(3 * t), 0], t_min=0, t_max=4 * TAU, color=BLUE ) w = ValueTracker(1) line.add_updater( lambda m: m.become( ParametricFunction( lambda t: [np.sin(1 * t + PI / 2), np.sin(w.get_value() * t), 0], t_min=0, t_max=4 * TAU, color=BLUE ) ) ) self.add(line) self.wait() self.play(w.increment_value, 8, run_time=10, rate_func=linear) self.wait() class Dot3D(Sphere): CONFIG = { "radius": 0.08, "checkerboard_colors": [WHITE, WHITE], "stroke_width": 0, } class Line_(VGroup): CONFIG = { "nums": 100, } def __init__(self, start, end, **kwargs): VGroup.__init__(self) total = end - start unit = total / self.nums self.add(Line(start, start + unit, **kwargs)) for i in range(self.nums - 1): now_start = self[-1].get_end() now_end = now_start + unit self.add(Line(now_start, now_end, **kwargs)) class Line__(VGroup): CONFIG = { "buff_": 0.02 } def __init__(self, start, end, **kwargs): VGroup.__init__(self) base = Line(start, end, **kwargs) if start[0] != 0: self.add(base.copy().shift([0, -self.buff_, self.buff_])) self.add(base.copy().shift([0, self.buff_, -self.buff_])) self.add(base.copy().shift([0, self.buff_, self.buff_])) self.add(base.copy().shift([0, -self.buff_, -self.buff_])) elif start[1] != 0: self.add(base.copy().shift([-self.buff_, 0, self.buff_])) self.add(base.copy().shift([ self.buff_, 0, -self.buff_])) self.add(base.copy().shift([ self.buff_, 0, self.buff_])) self.add(base.copy().shift([-self.buff_, 0, -self.buff_])) else: self.add(base.copy().shift([-self.buff_, self.buff_, 0])) self.add(base.copy().shift([ self.buff_, -self.buff_, 0])) self.add(base.copy().shift([ self.buff_, self.buff_, 0])) self.add(base.copy().shift([-self.buff_, -self.buff_, 0])) class Test3DLissajousFromPlaneIntersection(ThreeDScene): CONFIG = { "camera_config": { "background_color": WHITE }, "dot_class": Dot3D, "plane_use_ploygon": False, "line_class": Line, } def construct(self): axes = ThreeDAxes() # self.add(axes) self.set_camera_orientation(phi=70*DEGREES, theta=45*DEGREES) # self.set_camera_orientation(distance=1000000) self.begin_ambient_camera_rotation(rate=0.5) circle_x = Circle(color=RED).rotate(PI / 2, RIGHT).shift(DOWN * 2.5).set_shade_in_3d() circle_y = Circle(color=RED).rotate(PI / 2, DOWN).shift(LEFT * 2.5).set_shade_in_3d() circle_z = Circle(color=RED).shift(IN * 2.5).set_shade_in_3d() theta = ValueTracker(0) point_x = self.dot_class().add_updater(lambda m: m.move_to(circle_x.point_at_angle(1 * theta.get_value()))).set_shade_in_3d().set_color(GREEN) point_y = self.dot_class().add_updater(lambda m: m.move_to(circle_y.point_at_angle(2 * theta.get_value()))).set_shade_in_3d().set_color(ORANGE) point_z = self.dot_class().add_updater(lambda m: m.move_to(circle_z.point_at_angle(3 * theta.get_value()))).set_shade_in_3d().set_color(PURPLE) if self.plane_use_ploygon: plane_x = Polygon( np.array([ 2.5, 2.5, 0]), np.array([-2.5, 2.5, 0]), np.array([-2.5, -2.5, 0]), np.array([ 2.5, -2.5, 0]), fill_color=GREEN, fill_opacity=0.3, stroke_width=0 ).set_shade_in_3d().add_updater(lambda m: m.move_to(point_x.get_center()[2] * OUT)) plane_y = Polygon( np.array([ 2.5, 0, 2.5]), np.array([-2.5, 0, 2.5]), np.array([-2.5, 0, -2.5]), np.array([ 2.5, 0, -2.5]), fill_color=ORANGE, fill_opacity=0.3, stroke_width=0 ).set_shade_in_3d().add_updater(lambda m: m.move_to(point_y.get_center()[1] * UP)) plane_z = Polygon( np.array([0, 2.5, 2.5]), np.array([0, -2.5, 2.5]), np.array([0, -2.5, -2.5]), np.array([0, 2.5, -2.5]), fill_color=PURPLE, fill_opacity=0.3, stroke_width=0 ).set_shade_in_3d().add_updater(lambda m: m.move_to(point_z.get_center()[0] * RIGHT)) else: plane_x = ParametricSurface( lambda u, v: np.array([u, v, 0]), u_min=-2.5, u_max=2.5, v_min=-2.5, v_max=2.5, checkerboard_colors=None, fill_color=GREEN, fill_opacity=0.3, stroke_width=0 ).add_updater(lambda m: m.move_to(point_x.get_center()[2] * OUT)) plane_y = ParametricSurface( lambda u, v: np.array([u, 0, v]), u_min=-2.5, u_max=2.5, v_min=-2.5, v_max=2.5, checkerboard_colors=None, fill_color=ORANGE, fill_opacity=0.3, stroke_width=0 ).add_updater(lambda m: m.move_to(point_y.get_center()[1] * UP)) plane_z = ParametricSurface( lambda u, v: np.array([0, u, v]), u_min=-2.5, u_max=2.5, v_min=-2.5, v_max=2.5, checkerboard_colors=None, fill_color=PURPLE, fill_opacity=0.3, stroke_width=0 ).add_updater(lambda m: m.move_to(point_z.get_center()[0] * RIGHT)) line_x = self.line_class( np.array([-2.5, 0, 0]), np.array([ 2.5, 0, 0]), fill_color=GOLD_E, stroke_width=2 ).add_updater(lambda m: m.move_to(point_y.get_center()[1] * UP + point_x.get_center()[2] * OUT)) line_y = self.line_class( np.array([0, -2.5, 0]), np.array([0, 2.5, 0]), fill_color=GOLD_E, stroke_width=2 ).add_updater(lambda m: m.move_to(point_z.get_center()[0] * RIGHT + point_x.get_center()[2] * OUT)) line_z = self.line_class( np.array([0, 0, -2.5]), np.array([0, 0, 2.5]), fill_color=GOLD_E, stroke_width=2 ).add_updater(lambda m: m.move_to(point_z.get_center()[0] * RIGHT + point_y.get_center()[1] * UP)) P = self.dot_class().set_shade_in_3d(False) P.add_updater(lambda m: m.move_to(np.array([point_z.get_center()[0], point_y.get_center()[1], point_x.get_center()[2]]))) path = TracedPath(P.get_center, stroke_width=6, stroke_color=BLUE, min_distance_to_new_point=0.01) self.add(circle_x, circle_y, circle_z, point_x, point_y, point_z, P, path, plane_x, plane_y, plane_z, line_x, line_y, line_z) self.wait() self.play(theta.increment_value, PI * 4, run_time=10, rate_func=linear) self.wait(3) self.stop_ambient_camera_rotation() self.wait() self.move_camera(phi=0, theta=TAU, distance=10000) self.wait(2) self.move_camera(phi=PI/2, theta=TAU, distance=10000) self.wait(2) self.move_camera(phi=PI/2, theta=TAU+PI/2, distance=10000) self.wait(2) self.move_camera(phi=70*DEGREES, theta=TAU+45*DEGREES) self.wait() class Test3DLissajousFromParametricFunction(ThreeDScene): def construct(self): self.set_camera_orientation(phi=90*DEGREES, theta=45*DEGREES, distance=10000) line = ParametricFunction( lambda t: np.array([np.sin(2 * t + PI / 2), np.sin(2 * t), np.sin(3 * t)]), t_min=0, t_max=4 * TAU, color=BLUE ).scale(2.5) self.add(line) self.wait() self.begin_ambient_camera_rotation(rate=1) self.wait(10) class Intro2DLissajous(Scene): CONFIG = { "camera_config": { "background_color": WHITE } } def construct(self): para = TexMobject("(", "\\cos \\theta", ",", "\\sin 3\\theta", ")").set_color(BLACK) para.scale(1.7).to_corner(DR) circle_x = Circle(color=RED)#.shift(UP * 2.5) circle_y = Circle(color=RED)#.shift(LEFT * 2.5) self.wait() self.play(ShowCreation(VGroup(circle_x, circle_y))) self.wait() self.play( circle_x.shift, UP * 2.5, circle_y.shift, LEFT * 2.5 ) self.wait() theta = ValueTracker(0) theta_label = TexMobject("\\theta = ").scale(1.7).to_corner(DL).set_color(BLACK) theta_value = DecimalNumber(0, num_decimal_places=2).set_color(BLACK).scale(1.7).next_to(theta_label, RIGHT) def updater_of_point_x(obj): obj.move_to(circle_x.point_at_angle(1 * theta.get_value())) point_x = Dot(color=GOLD).add_updater(updater_of_point_x) point_y = Dot(color=GOLD).add_updater(lambda m: m.move_to(circle_y.point_at_angle(3 * theta.get_value()))) line_x = Line(UP * 6 , DOWN * 6, stroke_width=2).add_updater(lambda m: m.move_to(point_x.get_center()[0] * RIGHT)).set_color(GRAY).set_opacity(0.6) line_y = Line(LEFT * 8, RIGHT * 8, stroke_width=2).add_updater(lambda m: m.move_to(point_y.get_center()[1] * UP)).set_color(GRAY).set_opacity(0.6) self.play(ShowCreation(point_x)) self.play(ShowCreation(line_x)) self.wait() self.play(theta.increment_value, PI * 2, run_time=5, rate_func=linear) self.play(Write(para[1])) theta.set_value(0) point_x.remove_updater(updater_of_point_x) self.wait() self.play(ShowCreation(point_y)) self.play(ShowCreation(line_y)) self.wait() self.play(theta.increment_value, PI * 2, run_time=5, rate_func=linear) self.play(Write(para[3])) self.wait() theta.set_value(0) point_x.add_updater(updater_of_point_x) P = Dot(color=BLUE).add_updater(lambda m: m.move_to([point_x.get_center()[0], point_y.get_center()[1], 0])) path = TracedPath(P.get_center, stroke_width=6, stroke_color=BLUE, min_distance_to_new_point=0.01) self.wait() self.play( ShowCreation(P), FadeIn(VGroup(para[0], para[2], para[4])), FadeIn(VGroup(theta_label, theta_value)) ) theta_value.add_updater(lambda m: m.set_value(theta.get_value())) self.add(path) self.wait() self.play(theta.increment_value, PI * 4, run_time=10, rate_func=linear) self.wait(3) class ALotOf2DLissajous(Scene): CONFIG = { "camera_config": { "background_color": WHITE } } def construct(self): w = ValueTracker(1) label = VGroup( DecimalNumber(0).set_color(BLACK).scale(2), TexMobject(":").set_color(BLACK).scale(2), TexMobject("3").set_color(BLACK).scale(2) ).arrange(RIGHT) label.to_corner(UL, buff=1) label[0].add_updater(lambda m: m.set_value(w.get_value())) line = ParametricFunction( lambda t: [np.cos(1 * t), np.sin(3 * t), 0], t_min=0, t_max=6*TAU, color=BLUE ) def updater_of_line(obj): new = ParametricFunction( lambda t: [np.cos(w.get_value() * t), np.sin(3 * t), 0], t_min=0, t_max=6*TAU, color=BLUE ) obj.become(new) self.play(FadeIn(line), FadeIn(label)) self.wait() for i in range(6): line.add_updater(updater_of_line) self.play(w.increment_value, 1, run_time=1, rate_func=linear) line.remove_updater(updater_of_line) self.wait() self.wait() line.add_updater(updater_of_line) self.play(w.set_value, 1) line.remove_updater(updater_of_line) self.wait(2) def smooth2(t, inflection=6): error = sigmoid(-inflection / 2) return np.clip( (sigmoid(inflection * (t - 0.5)) - error) / (1 - 2 * error), 0, 1, ) class From2DTo3DLissajous(ThreeDScene): CONFIG = { "camera_config": { "background_color": WHITE } } def construct(self): axes = ThreeDAxes(number_line_config={"include_tip": False}) self.set_camera_orientation(phi=0*DEGREES, theta=90*DEGREES, distance=10000) line = ParametricFunction( lambda t: np.array([np.cos(1 * t), np.sin(3 * t), np.sin(2 * t)]), t_min=0, t_max=4 * TAU, color=BLUE ) self.add(line) self.wait() self.play(FadeIn(axes)) self.wait() self.move_camera(phi=70*DEGREES, theta=135*DEGREES, rate_func=smooth2, run_time=5) self.begin_ambient_camera_rotation(rate=0.8) self.wait(10) self.play(FadeOut(axes), FadeOut(line)) self.wait() class ReadyTo3DLissajous(ThreeDScene): CONFIG = { "camera_config": { "background_color": WHITE }, "dot_class": Dot3D, "line_class": Line, } def construct(self): axes = ThreeDAxes() # self.add(axes) self.set_camera_orientation(phi=70*DEGREES, theta=45*DEGREES) # self.set_camera_orientation(distance=1000000) self.begin_ambient_camera_rotation(rate=0.25) circle_x = Circle(color=RED).rotate(PI / 2, RIGHT).shift(DOWN * 2.5).set_shade_in_3d() circle_y = Circle(color=RED).rotate(PI / 2, DOWN).shift(LEFT * 2.5).set_shade_in_3d() circle_z = Circle(color=RED).shift(IN * 2.5).set_shade_in_3d() self.wait() self.play( ShowCreation(VGroup(circle_x, circle_y, circle_z)) ) theta = ValueTracker(0) def updater_of_point_x(m): m.move_to(circle_x.point_at_angle(1 * theta.get_value())) def updater_of_point_y(m): m.move_to(circle_y.point_at_angle(2 * theta.get_value())) def updater_of_point_z(m): m.move_to(circle_z.point_at_angle(3 * theta.get_value())) point_x = self.dot_class().add_updater(updater_of_point_x).set_color(GREEN) def updater_of_plane_x(m): m.move_to(point_x.get_center()[2] * OUT) plane_x = ParametricSurface( lambda u, v: np.array([u, v, 0]), u_min=-2.5, u_max=2.5, v_min=-2.5, v_max=2.5, checkerboard_colors=None, fill_color=GREEN, fill_opacity=0.3, stroke_width=0 ).add_updater(updater_of_plane_x) self.wait() self.play(ShowCreation(point_x)) self.play(ShowCreation(plane_x)) self.wait() self.play(theta.increment_value, PI*2, run_time=5, rate_func=linear) self.wait() point_x.remove_updater(updater_of_point_x) plane_x.remove_updater(updater_of_plane_x) theta.set_value(0) point_y = self.dot_class().add_updater(updater_of_point_y).set_color(ORANGE) def updater_of_plane_y(m): m.move_to(point_y.get_center()[1] * UP) plane_y = ParametricSurface( lambda u, v: np.array([u, 0, v]), u_min=-2.5, u_max=2.5, v_min=-2.5, v_max=2.5, checkerboard_colors=None, fill_color=ORANGE, fill_opacity=0.3, stroke_width=0 ).add_updater(updater_of_plane_y) line_x = self.line_class( np.array([-2.5, 0, 0]), np.array([ 2.5, 0, 0]), fill_color=GOLD_E, stroke_width=2 ).add_updater(lambda m: m.move_to(point_y.get_center()[1] * UP + point_x.get_center()[2] * OUT)) self.wait() self.play(ShowCreation(point_y)) self.play(ShowCreation(plane_y)) self.play(ShowCreation(line_x)) self.wait() self.play(theta.increment_value, PI*2, run_time=5, rate_func=linear) self.wait() point_y.remove_updater(updater_of_point_y) plane_y.remove_updater(updater_of_plane_y) theta.set_value(0) point_z = self.dot_class().add_updater(updater_of_point_z).set_color(PURPLE) def updater_of_plane_z(m): m.move_to(point_z.get_center()[0] * RIGHT) plane_z = ParametricSurface( lambda u, v: np.array([0, u, v]), u_min=-2.5, u_max=2.5, v_min=-2.5, v_max=2.5, checkerboard_colors=None, fill_color=PURPLE, fill_opacity=0.3, stroke_width=0 ).add_updater(updater_of_plane_z) line_y = self.line_class( np.array([0, -2.5, 0]), np.array([0, 2.5, 0]), fill_color=GOLD_E, stroke_width=2 ).add_updater(lambda m: m.move_to(point_z.get_center()[0] * RIGHT + point_x.get_center()[2] * OUT)) line_z = self.line_class( np.array([0, 0, -2.5]), np.array([0, 0, 2.5]), fill_color=GOLD_E, stroke_width=2 ).add_updater(lambda m: m.move_to(point_z.get_center()[0] * RIGHT + point_y.get_center()[1] * UP)) self.wait() self.play(ShowCreation(point_z)) self.play(ShowCreation(plane_z)) self.play(ShowCreation(line_y), ShowCreation(line_z)) self.wait() self.play(theta.increment_value, PI*2, run_time=5, rate_func=linear) self.wait() theta.set_value(0) P = self.dot_class().set_shade_in_3d(False) P.add_updater(lambda m: m.move_to(np.array([point_z.get_center()[0], point_y.get_center()[1], point_x.get_center()[2]]))) self.wait() self.play(ShowCreation(P)) self.stop_ambient_camera_rotation() self.wait() self.move_camera(phi=70*DEGREES, theta=405*DEGREES) class DualAxisIllusion(ThreeDScene): CONFIG = { "camera_config": { "background_color": WHITE } } def construct(self): self.set_camera_orientation(phi=90*DEGREES, theta=45*DEGREES, distance=10000, gamma=90*DEGREES) line = ParametricFunction( lambda t: np.array([np.cos(2 * t), np.sin(2 * t), 0.6 * np.sin(3 * t)]), t_min=0, t_max=4 * TAU, color=BLUE, stroke_width=20 ).scale(2) self.add(line) self.wait() self.begin_ambient_camera_rotation(rate=0.8) self.wait(10) class EndScene(ThreeDScene): CONFIG = { "camera_config": { "background_color": WHITE } } def construct(self): self.set_camera_orientation(phi=90*DEGREES, theta=45*DEGREES, distance=10000, gamma=90*DEGREES) line = ParametricFunction( lambda t: np.array([np.cos(2 * t), np.sin(2 * t), 0.6 * np.sin(3 * t)]), t_min=0, t_max=4 * TAU, color=BLUE, stroke_width=20 ).scale(2) self.play(FadeIn(line)) self.wait() self.begin_ambient_camera_rotation(rate=0.5) self.wait(6) bg = Rectangle(width=16, height=10).set_fill(color=BLACK, opacity=0.8) self.camera.add_fixed_in_frame_mobjects(bg) self.wait() self.play(FadeIn(bg)) thanks = Group( Text("特别鸣谢", font="Source Han Sans CN").scale(0.55).set_color(RED), ImageMobject("GZTime.png").scale(0.3), Text("@GZTime", font="Source Han Serif CN").scale(0.35).set_color(BLUE), ImageMobject("cigar.png").scale(0.3), Text("@cigar666", font="Source Han Serif CN").scale(0.35).set_color(BLUE) ) self.camera.add_fixed_in_frame_mobjects(thanks) thanks[0].to_corner(UR) thanks[2].next_to(thanks[0], DOWN, aligned_edge=RIGHT) thanks[1].next_to(thanks[2], LEFT) thanks[3].next_to(thanks[1], DOWN) thanks[4].next_to(thanks[3], RIGHT) thanks[1:].next_to(thanks[0], DOWN, aligned_edge=RIGHT) thanks[1].scale(1.5, about_point=thanks[1].get_center()) refer = VGroup( Text("参考", font="Source Han Sans CN").scale(0.55).set_color(RED), Text("[1] Wikipedia利萨茹曲线 https://en.wikipedia.org/wiki/Lissajous_curve", font="Source Han Serif CN").scale(0.3), Text("[2] processing利萨如图形 https://www.bilibili.com/video/av33110155", font="Source Han Serif CN").scale(0.3), Text("[3] 双轴错觉 https://killedbyapixel.github.io/Dual-Axis-Illusion/", font="Source Han Serif CN").scale(0.3), Text("[4] 双周错觉代码仓库 https://github.com/KilledByAPixel/Dual-Axis-Illusion", font="Source Han Serif CN").scale(0.3), ) self.camera.add_fixed_in_frame_mobjects(refer) refer.arrange(DOWN, aligned_edge=LEFT) refer.to_corner(DL) self.wait() self.play(FadeInFromDown(thanks)) self.play(FadeIn(refer)) self.wait(10) class VideoCover(Scene): def construct(self): background = Rectangle(width=18, height=3.5, fill_opacity=0.7, fill_color=BLACK, stroke_width=0).shift(DOWN*0.5) title = VGroup( Text("可视/三维", font="Source Han Serif CN", color=BLUE).scale(1), Text("Lissajous图形", font="Source Han Serif CN", color=RED).scale(1.2) ).arrange(DOWN, aligned_edge=RIGHT, buff=0.4) title_bg = VGroup( Text("可视/三维", font="Source Han Serif CN", color=BLUE_B).scale(1).set_stroke(width=12, opacity=0.4), Text("Lissajous图形", font="Source Han Serif CN", color=RED_B).scale(1.2).set_stroke(width=12, opacity=0.4) ).arrange(DOWN, aligned_edge=RIGHT, buff=0.4) title.to_edge(RIGHT, buff=1.3).shift(DOWN*0.5) title_bg.to_edge(RIGHT, buff=1.3).shift(DOWN*0.5) author = VGroup( TextMobject("@鹤翔万里", background_stroke_width=0).scale(1.2).set_color([YELLOW, RED]), TextMobject("@\ GZTime", background_stroke_width=0).scale(1.2).set_color([WHITE, BLUE]) ).arrange(DOWN, aligned_edge=LEFT) author.shift(LEFT*4 + DOWN*0.5) self.add(background, title_bg, title, author)

39.60371

157

0.584245

3,393

23,485

3.817271

0.076628

0.011272

0.014824

0.019765

0.790766

0.742048

0.716414

0.688774

0.661288

0.611025

0

0.040372

0.268043

23,485

592

158

39.670608

0.713089

0.0066

0

0.502959

0

0.039491

0

1

0.043393

false

0

0.003945

0

0.096647

0

null

0

1

0

1

0

null

0

3

a00dbbabf32006769aba7ac26d4086798f8f5b92

75

py

Python

Py26/01/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

Py26/01/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

Py26/01/main.py

xhexe/Py8R

44238c5403e7f76988760a040bf5c292824c22e7

[ "WTFPL" ]

null

inp = input("Enter string: ") input_string = ord(inp) print(input_string)

15

29

0.72

11

75

4.727273

0.545455

0.423077

0

0.133333

75

4

30

18.75

0.8

0

0.186667

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

3

4e55091a618968c01ac26471c9cd251dd97a71d7

9,578

py

Python

argocd_client/models/application_application_sync_request.py

thepabloaguilar/argocd-client

a6c4ff268a63ee6715f9f837b9225b798aa6bde2

[ "BSD-3-Clause" ]

1

2021-09-29T11:57:07.000Z

argocd_client/models/application_application_sync_request.py

thepabloaguilar/argocd-client

a6c4ff268a63ee6715f9f837b9225b798aa6bde2

[ "BSD-3-Clause" ]

1

2020-09-09T00:28:57.000Z

argocd_client/models/application_application_sync_request.py

thepabloaguilar/argocd-client

a6c4ff268a63ee6715f9f837b9225b798aa6bde2

[ "BSD-3-Clause" ]

2

2020-10-13T18:31:59.000Z

2021-02-15T12:52:33.000Z

# coding: utf-8 """ Consolidate Services Description of all APIs # noqa: E501 The version of the OpenAPI document: version not set Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from argocd_client.configuration import Configuration class ApplicationApplicationSyncRequest(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ openapi_types = { 'dry_run': 'bool', 'infos': 'list[V1alpha1Info]', 'manifests': 'list[str]', 'name': 'str', 'prune': 'bool', 'resources': 'list[V1alpha1SyncOperationResource]', 'retry_strategy': 'V1alpha1RetryStrategy', 'revision': 'str', 'strategy': 'V1alpha1SyncStrategy' } attribute_map = { 'dry_run': 'dryRun', 'infos': 'infos', 'manifests': 'manifests', 'name': 'name', 'prune': 'prune', 'resources': 'resources', 'retry_strategy': 'retryStrategy', 'revision': 'revision', 'strategy': 'strategy' } def __init__(self, dry_run=None, infos=None, manifests=None, name=None, prune=None, resources=None, retry_strategy=None, revision=None, strategy=None, local_vars_configuration=None): # noqa: E501 """ApplicationApplicationSyncRequest - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration() self.local_vars_configuration = local_vars_configuration self._dry_run = None self._infos = None self._manifests = None self._name = None self._prune = None self._resources = None self._retry_strategy = None self._revision = None self._strategy = None self.discriminator = None if dry_run is not None: self.dry_run = dry_run if infos is not None: self.infos = infos if manifests is not None: self.manifests = manifests if name is not None: self.name = name if prune is not None: self.prune = prune if resources is not None: self.resources = resources if retry_strategy is not None: self.retry_strategy = retry_strategy if revision is not None: self.revision = revision if strategy is not None: self.strategy = strategy @property def dry_run(self): """Gets the dry_run of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The dry_run of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: bool """ return self._dry_run @dry_run.setter def dry_run(self, dry_run): """Sets the dry_run of this ApplicationApplicationSyncRequest. :param dry_run: The dry_run of this ApplicationApplicationSyncRequest. # noqa: E501 :type: bool """ self._dry_run = dry_run @property def infos(self): """Gets the infos of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The infos of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: list[V1alpha1Info] """ return self._infos @infos.setter def infos(self, infos): """Sets the infos of this ApplicationApplicationSyncRequest. :param infos: The infos of this ApplicationApplicationSyncRequest. # noqa: E501 :type: list[V1alpha1Info] """ self._infos = infos @property def manifests(self): """Gets the manifests of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The manifests of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: list[str] """ return self._manifests @manifests.setter def manifests(self, manifests): """Sets the manifests of this ApplicationApplicationSyncRequest. :param manifests: The manifests of this ApplicationApplicationSyncRequest. # noqa: E501 :type: list[str] """ self._manifests = manifests @property def name(self): """Gets the name of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The name of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: str """ return self._name @name.setter def name(self, name): """Sets the name of this ApplicationApplicationSyncRequest. :param name: The name of this ApplicationApplicationSyncRequest. # noqa: E501 :type: str """ self._name = name @property def prune(self): """Gets the prune of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The prune of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: bool """ return self._prune @prune.setter def prune(self, prune): """Sets the prune of this ApplicationApplicationSyncRequest. :param prune: The prune of this ApplicationApplicationSyncRequest. # noqa: E501 :type: bool """ self._prune = prune @property def resources(self): """Gets the resources of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The resources of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: list[V1alpha1SyncOperationResource] """ return self._resources @resources.setter def resources(self, resources): """Sets the resources of this ApplicationApplicationSyncRequest. :param resources: The resources of this ApplicationApplicationSyncRequest. # noqa: E501 :type: list[V1alpha1SyncOperationResource] """ self._resources = resources @property def retry_strategy(self): """Gets the retry_strategy of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The retry_strategy of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: V1alpha1RetryStrategy """ return self._retry_strategy @retry_strategy.setter def retry_strategy(self, retry_strategy): """Sets the retry_strategy of this ApplicationApplicationSyncRequest. :param retry_strategy: The retry_strategy of this ApplicationApplicationSyncRequest. # noqa: E501 :type: V1alpha1RetryStrategy """ self._retry_strategy = retry_strategy @property def revision(self): """Gets the revision of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The revision of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: str """ return self._revision @revision.setter def revision(self, revision): """Sets the revision of this ApplicationApplicationSyncRequest. :param revision: The revision of this ApplicationApplicationSyncRequest. # noqa: E501 :type: str """ self._revision = revision @property def strategy(self): """Gets the strategy of this ApplicationApplicationSyncRequest. # noqa: E501 :return: The strategy of this ApplicationApplicationSyncRequest. # noqa: E501 :rtype: V1alpha1SyncStrategy """ return self._strategy @strategy.setter def strategy(self, strategy): """Sets the strategy of this ApplicationApplicationSyncRequest. :param strategy: The strategy of this ApplicationApplicationSyncRequest. # noqa: E501 :type: V1alpha1SyncStrategy """ self._strategy = strategy def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, ApplicationApplicationSyncRequest): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, ApplicationApplicationSyncRequest): return True return self.to_dict() != other.to_dict()

29.112462

200

0.618292

960

9,578

6.052083

0.129167

0.037177

0.241652

0.199828

0.472806

0.383305

0.365577

0.168158

0.058176

0.013081

0

0.017934

0.295573

9,578

328

201

29.20122

0.84319

0.387764

0

0.089655

1

0

0.06882

0.011236

0

1

0.165517

false

0

0.027586

0

0.324138

0.013793

0

null

0

1

0

1

0

null

0

3

4e6138843998a3ede92abaaa70a1ae3fc7c18aae

711

py

Python

losses.py

dhaulagiri0/AniGen

bd845a29e771544ade1f64b94f967d8e178952f8

[ "MIT" ]

null

losses.py

dhaulagiri0/AniGen

bd845a29e771544ade1f64b94f967d8e178952f8

[ "MIT" ]

null

losses.py

dhaulagiri0/AniGen

bd845a29e771544ade1f64b94f967d8e178952f8

[ "MIT" ]

null

import tensorflow as tf from tensorflow.keras import backend #DEPRECATED # An implementation of wasserstein used for a naive implementation of WGAN # calculate wasserstein loss def wasserstein_loss(y_true, y_pred): return backend.mean(y_true * y_pred) # Define the loss functions for the discriminator, # which should be (fake_loss - real_loss). # We will add the gradient penalty later to this loss function. def discriminator_loss(real_img, fake_img): real_loss = tf.reduce_mean(real_img) fake_loss = tf.reduce_mean(fake_img) return real_loss, fake_loss, fake_loss - real_loss # Define the loss functions for the generator. def generator_loss(fake_img): return -tf.reduce_mean(fake_img)

32.318182

74

0.78481

111

711

4.810811

0.414414

0.059925

0.067416

0.037453

0.17603

0.104869

0

0.151899

711

21

75

33.857143

0.885572

0.431786

0

1

0.3

false

0

0.2

0.8

0

null

0

null

0

1

0

1

0

3

4e63749234da693d5c1f2625bba0bf9c3d524e3f

274

py

Python

testproject/fiber_test/tests/test_templatetags/test_fiber_version.py

bsimons/django-fiber

0f4b03217a4aeba6b48908825507fbe8c5732c8d

[ "Apache-2.0" ]

143

2015-01-06T01:15:22.000Z

2017-07-08T04:10:08.000Z

testproject/fiber_test/tests/test_templatetags/test_fiber_version.py

bsimons/django-fiber

0f4b03217a4aeba6b48908825507fbe8c5732c8d

[ "Apache-2.0" ]

44

2015-01-22T14:21:32.000Z

2017-05-31T16:59:23.000Z

testproject/fiber_test/tests/test_templatetags/test_fiber_version.py

bsimons/django-fiber

0f4b03217a4aeba6b48908825507fbe8c5732c8d

[ "Apache-2.0" ]

53

2015-01-21T21:48:49.000Z

2017-06-12T07:33:13.000Z

import fiber from django.test import SimpleTestCase from ...test_util import RenderMixin class TestFiberVersion(RenderMixin, SimpleTestCase): def test_fiber_version(self): self.assertRendered('{% load fiber_tags %}{% fiber_version %}', str(fiber.__version__))

30.444444

95

0.766423

31

274

6.483871

0.548387

0.179104

0

0.131387

274

8

96

34.25

0.844538

0

0.145985

0

0.166667

1

0.166667

false

0

0.5

0

0.833333

0

null

0

1

0

null

0

1

0

1

0

3

4e6b7f322b294819ab5b4b631d1bcc760d50a431

618

py

Python

examples/testpetsc.py

DDMGNI/viVlasov1D

901dd058711f6943eb6497b941bc115a64e822de

[ "MIT" ]

2

2018-09-13T12:39:07.000Z

2019-04-05T04:55:59.000Z

examples/testpetsc.py

DDMGNI/viVlasov1D

901dd058711f6943eb6497b941bc115a64e822de

[ "MIT" ]

null

examples/testpetsc.py

DDMGNI/viVlasov1D

901dd058711f6943eb6497b941bc115a64e822de

[ "MIT" ]

null

import numpy as np def temperature(x): pass def density(x, L): # weak Jeans instability # density = 1. + 0.01 * np.cos(0.8 * (x - 0.5 * L)) # strong Jeans instability # density = 1. + 0.01 * np.cos(0.1 * (x - 0.5 * L)) # linear Landau damping # return 1. + 0.01 * np.cos(0.5 * (x - 0.5 * L)) # nonlinear Landau damping density = 1. + (np.cos(0.5 * x)) return density def distribution(x, y): # if y <= 2. and y >= -2.: # f = 1. # else: # f = 0. f = 1. + 0.5 * (np.cos(x + y*np.pi) - np.cos(x - y*np.pi)) return f

16.263158

62

0.469256

102

618

2.843137

0.323529

0.103448

0.082759

0.062069

0.372414

0.337931

0.227586

0

0.085213

0.354369

618

37

63

16.702703

0.641604

0.530744

0

1

0.333333

false

0.111111

0

0.666667

0

null

0

null

0

1

0

1

0

1

0

3

4ea392c525c167ab6e4487bc47072399df2ebdf7

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py

Python

non-regression-tests/config.py

etalab-ia/piaf-ml

cd006b905d4c3e6a358326a42b84179724b00e5f

[ "MIT" ]

5

2021-06-22T08:51:53.000Z

2021-12-14T17:26:32.000Z

non-regression-tests/config.py

etalab-ia/piaf-ml

cd006b905d4c3e6a358326a42b84179724b00e5f

[ "MIT" ]

55

2021-06-16T07:58:16.000Z

2021-08-30T10:30:26.000Z

non-regression-tests/config.py

etalab-ia/piaf-ml

cd006b905d4c3e6a358326a42b84179724b00e5f

[ "MIT" ]

null

import os parameter_tuning_options = { "experiment_name": "non-regression-tests", # Tuning method alternatives: # - "optimization": use bayesian optimisation # - "grid_search" "tuning_method": "grid_search", # Additionnal options for the grid search method "use_cache": False, # Additionnal options for the optimization method "optimization_ncalls": 10, } parameters_fquad = { "k_retriever": [5], "k_title_retriever" : [1], # must be present, but only used when retriever_type == title_bm25 "k_reader_per_candidate": [20], "k_reader_total": [10], "reader_model_version": ["053b085d851196110d7a83d8e0f077d0a18470be"], "retriever_model_version": ["1a01b38498875d45f69b2a6721bf6fe87425da39"], "dpr_model_version": ["v1.0"], "retriever_type": ["bm25"], # Can be bm25, sbert, dpr, title or title_bm25 "squad_dataset": [ os.getenv("DATA_DIR") + "/non-regression-tests/fquad_dataset.json" ], "filter_level": [None], "preprocessing": [False], "boosting" : [1], #default to 1 "split_by": ["word"], # Can be "word", "sentence", or "passage" "split_length": [1000], } # A dictionnary specifying the criteria a test result must pass. Keys are # metrics names and keys are predicates on the corresponding metric which must # return true if the value is satisfying. pass_criteria_fquad = { "reader_topk_accuracy_has_answer": # metric ~= 0.747 +/- 1% lambda metric: abs(metric / 0.747 - 1) < 0.01 } parameters_dila = { "k_retriever": [1], "k_title_retriever" : [1], # must be present, but only used when retriever_type == title_bm25 "k_reader_per_candidate": [20], "k_reader_total": [10], "reader_model_version": ["053b085d851196110d7a83d8e0f077d0a18470be"], "retriever_model_version": ["1a01b38498875d45f69b2a6721bf6fe87425da39"], "dpr_model_version": ["v1.0"], "retriever_type": ["bm25"], # Can be bm25, sbert, dpr, title or title_bm25 "squad_dataset": [ os.getenv("SRC_DIR") + "/piaf-ml/clients/dila/knowledge_base/squad.json"], "filter_level": [None], "preprocessing": [False], "boosting" : [1], #default to 1 "split_by": ["word"], # Can be "word", "sentence", or "passage" "split_length": [1000], } # A dictionnary specifying the criteria a test result must pass. Keys are # metrics names and keys are predicates on the corresponding metric which must # return true if the value is satisfying. pass_criteria_dila = { "reader_topk_accuracy_has_answer": # metric ~= 0.427 +/- 1% lambda metric: abs(metric / 0.427 - 1) < 0.01 } tests = [ (parameters_fquad, parameter_tuning_options, pass_criteria_fquad), (parameters_dila, parameter_tuning_options, pass_criteria_dila), ]

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Python

scuttlecrab/main.py

PUMBA-1997/scuttlecrab.py

13e0074b7d94af81bf5c13feb5a3d036bc71f133

[ "Apache-2.0" ]

4

2022-01-05T14:16:07.000Z

2022-01-09T07:29:08.000Z

scuttlecrab/main.py

Fabrizio1663/scuttlecrab.py

13e0074b7d94af81bf5c13feb5a3d036bc71f133

[ "Apache-2.0" ]

null

scuttlecrab/main.py

Fabrizio1663/scuttlecrab.py

13e0074b7d94af81bf5c13feb5a3d036bc71f133

[ "Apache-2.0" ]

null

from scuttlecrab.classes.bot import CustomBot bot = CustomBot()

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14fbcce3feb4c4d3755700befad3fb8381ba83ea

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py

Python

carnival/migrations/0011_auto_20191017_1045.py

farro4069/allez

c6ba374ee03cb01a494a4f6fe8ae0d0de5ce463c

[ "BSD-2-Clause" ]

null

carnival/migrations/0011_auto_20191017_1045.py

farro4069/allez

c6ba374ee03cb01a494a4f6fe8ae0d0de5ce463c

[ "BSD-2-Clause" ]

null

carnival/migrations/0011_auto_20191017_1045.py

farro4069/allez

c6ba374ee03cb01a494a4f6fe8ae0d0de5ce463c

[ "BSD-2-Clause" ]

null

# Generated by Django 2.1.4 on 2019-10-17 00:45 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('carnival', '0010_auto_20191013_1246'), ] operations = [ migrations.AlterField( model_name='register', name='prime_one', field=models.BooleanField(default=False), ), migrations.AlterField( model_name='register', name='prime_three', field=models.BooleanField(default=False), ), migrations.AlterField( model_name='register', name='prime_two', field=models.BooleanField(default=False), ), ]

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py

Python

enote/__init__.py

tkjacobsen/enote

b8150885733599016b2d0b1d36f03e62ca8e3cdc

[ "MIT" ]

16

2015-04-30T22:36:57.000Z

2021-04-29T16:38:17.000Z

enote/__init__.py

tkjacobsen/enote

b8150885733599016b2d0b1d36f03e62ca8e3cdc

[ "MIT" ]

1

2017-02-18T18:42:31.000Z

2017-02-18T18:48:47.000Z

enote/__init__.py

tkjacobsen/enote

b8150885733599016b2d0b1d36f03e62ca8e3cdc

[ "MIT" ]

2

2017-06-03T08:00:28.000Z

2017-07-15T16:50:47.000Z

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null

0

3

094be0cf0f33e0827cc74563503d2f32fbf9ae51

1,787

py

Python

solver.py

tamnguyen820/SudokuSolver

a4adf311fca7bdbf7d2e5f7a676197e39218e53a

[ "MIT" ]

null

solver.py

tamnguyen820/SudokuSolver

a4adf311fca7bdbf7d2e5f7a676197e39218e53a

[ "MIT" ]

null

solver.py

tamnguyen820/SudokuSolver

a4adf311fca7bdbf7d2e5f7a676197e39218e53a

[ "MIT" ]

null

''' For testing with the text version ''' b = [ [1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], ] def print_board(board): for i in range(len(board)): if i % 3 == 0 and i != 0: print("- - - - - - - - - - - -") for j in range(len(board[0])): if j % 3 == 0 and j != 0: print(" | ", end="") print(board[i][j], end="") if j == 8: print() else: print(" ", end="") def find_empty_cell(board): for row in range(len(board)): for col in range(len(board[0])): if board[row][col] == 0: return (row, col) return False def is_valid(board, target, pos): # Check row and col for i in range(len(board[0])): if (pos[1] != i and target == board[pos[0]][i]) or \ (pos[0] != i and target == board[i][pos[1]]): return False # Check sub-grid brow = pos[0]//3 bcol = pos[1]//3 for i in range(3): for j in range(3): if (i, j) != pos and target == board[brow*3+i][bcol*3+j]: return False return True def solve(board): empty = find_empty_cell(board) if not empty: return True row, col = empty for i in range(0, 10): if is_valid(board, i, (row, col)): board[row][col] = i if solve(board): return True board[row][col] = 0 return False

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0

3

11b7cee72a017b56ab9f447f74c1610717cfe52e

8,784

py

Python

tests/st/ops/gpu/test_scatter_nd_func_op.py

PowerOlive/mindspore

bda20724a94113cedd12c3ed9083141012da1f15

[ "Apache-2.0" ]

1

2021-12-27T13:42:29.000Z

tests/st/ops/gpu/test_scatter_nd_func_op.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

null

tests/st/ops/gpu/test_scatter_nd_func_op.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

null

# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ import numpy as np import pytest import mindspore.context as context import mindspore.nn as nn from mindspore import Tensor, Parameter import mindspore.common.dtype as mstype import mindspore.ops as ops context.set_context(mode=context.GRAPH_MODE, device_target="GPU") func_map = { "update": ops.ScatterNdUpdate, "add": ops.ScatterNdAdd, "sub": ops.ScatterNdSub, } class TestScatterNdFuncNet(nn.Cell): def __init__(self, func, lock, inputx, indices, updates): super(TestScatterNdFuncNet, self).__init__() self.scatter_func = func_map[func](use_locking=lock) self.inputx = Parameter(inputx, name="inputx") self.indices = Parameter(indices, name="indices") self.updates = Parameter(updates, name="updates") def construct(self): out = self.scatter_func(self.inputx, self.indices, self.updates) return out def scatter_nd_func_net(func, inputx, indices, updates): lock = True net = TestScatterNdFuncNet(func, lock, inputx, indices, updates) return net() def scatter_nd_func_use_locking_false_net(func, inputx, indices, updates): lock = False net = TestScatterNdFuncNet(func, lock, inputx, indices, updates) return net() @pytest.mark.level0 @pytest.mark.platform_x86_gpu_traning @pytest.mark.env_onecard def test_scatter_nd_func_small_float32(): inputx = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mstype.float32) indices = Tensor(np.array([[0, 0], [1, 1]]), mstype.int32) updates = Tensor(np.array([1.0, 2.2]), mstype.float32) # update output = scatter_nd_func_net("update", inputx, indices, updates) expected = np.array([[1.0, 0.3, 3.6], [0.4, 2.2, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # add output = scatter_nd_func_net("add", inputx, indices, updates) expected = np.array([[0.9, 0.3, 3.6], [0.4, 2.7, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # sub output = scatter_nd_func_net("sub", inputx, indices, updates) expected = np.array([[-1.1, 0.3, 3.6], [0.4, -1.7, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_gpu_training @pytest.mark.env_onecard def test_scatter_nd_func_input_updated(): inputx = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mstype.float32) indices = Tensor(np.array([[0, 0], [1, 1]]), mstype.int32) updates = Tensor(np.array([1.0, 2.2]), mstype.float32) lock = True # update net = TestScatterNdFuncNet("update", lock, inputx, indices, updates) output = net() expected = np.array([[1.0, 0.3, 3.6], [0.4, 2.2, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # add net = TestScatterNdFuncNet("add", lock, inputx, indices, updates) output = net() expected = np.array([[0.9, 0.3, 3.6], [0.4, 2.7, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # sub net = TestScatterNdFuncNet("sub", lock, inputx, indices, updates) output = net() expected = np.array([[-1.1, 0.3, 3.6], [0.4, -1.7, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_gpu_traning @pytest.mark.env_onecard def test_scatter_nd_func_small_float32_using_locking_false(): inputx = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mstype.float32) indices = Tensor(np.array([[0, 0], [1, 1]]), mstype.int32) updates = Tensor(np.array([1.0, 2.2]), mstype.float32) # update output = scatter_nd_func_use_locking_false_net("update", inputx, indices, updates) expected = np.array([[1.0, 0.3, 3.6], [0.4, 2.2, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # add output = scatter_nd_func_use_locking_false_net("add", inputx, indices, updates) expected = np.array([[0.9, 0.3, 3.6], [0.4, 2.7, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # sub output = scatter_nd_func_use_locking_false_net("sub", inputx, indices, updates) expected = np.array([[-1.1, 0.3, 3.6], [0.4, -1.7, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_gpu_traning @pytest.mark.env_onecard def test_scatter_nd_func_small_int32(): inputx = Tensor(np.array([1, 2, 3, 4, 5, 6, 7, 8]), mstype.float32) indices = Tensor(np.array([[4], [3], [1], [7]]), mstype.int32) updates = Tensor(np.array([9, 10, 11, 12]), mstype.float32) # update output = scatter_nd_func_net("update", inputx, indices, updates) expected = np.array([1, 11, 3, 10, 9, 6, 7, 12]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # add output = scatter_nd_func_net("add", inputx, indices, updates) expected = np.array([1, 13, 3, 14, 14, 6, 7, 20]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # sub output = scatter_nd_func_net("sub", inputx, indices, updates) expected = np.array([1, -9, 3, -6, -4, 6, 7, -4]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_gpu_traning @pytest.mark.env_onecard def test_scatter_nd_func_multi_dims(): inputx = Tensor(np.zeros((4, 4, 4)), mstype.float32) indices = Tensor(np.array([[0], [2]]), mstype.int32) updates = Tensor( np.array( [ [[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]], [[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]], ] ), mstype.float32, ) # update output = scatter_nd_func_net("update", inputx, indices, updates) expected = np.array( [ [[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]], [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], [[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]], [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], ] ) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # add output = scatter_nd_func_net("add", inputx, indices, updates) expected = np.array( [ [[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]], [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], [[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]], [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], ] ) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # sub output = scatter_nd_func_net("sub", inputx, indices, updates) expected = np.array( [ [[-5, -5, -5, -5], [-6, -6, -6, -6], [-7, -7, -7, -7], [-8, -8, -8, -8]], [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], [[-5, -5, -5, -5], [-6, -6, -6, -6], [-7, -7, -7, -7], [-8, -8, -8, -8]], [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], ] ) np.testing.assert_array_almost_equal(output.asnumpy(), expected) @pytest.mark.level0 @pytest.mark.platform_x86_gpu_traning @pytest.mark.env_onecard def test_scatter_nd_func_one_value(): inputx = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mstype.float32) indices = Tensor(np.array([[0, 1]]), mstype.int32) updates = Tensor(np.array([1.0]), mstype.float32) # update output = scatter_nd_func_net("update", inputx, indices, updates) expected = np.array([[-0.1, 1.0, 3.6], [0.4, 0.5, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # add output = scatter_nd_func_net("add", inputx, indices, updates) expected = np.array([[-0.1, 1.3, 3.6], [0.4, 0.5, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected) # sub output = scatter_nd_func_net("sub", inputx, indices, updates) expected = np.array([[-0.1, -0.7, 3.6], [0.4, 0.5, -3.2]]) np.testing.assert_array_almost_equal(output.asnumpy(), expected)

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0

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1

0

1

0

null

0

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11bc0b3cb2807ff10941fab0ad8b5ff296d80b41

253

py

Python

pages/wacs.py

irzaip/selevaporum

05754f2a8152185f550e1135feb94fdc85e4046c

[ "MIT" ]

null

pages/wacs.py

irzaip/selevaporum

05754f2a8152185f550e1135feb94fdc85e4046c

[ "MIT" ]

null

pages/wacs.py

irzaip/selevaporum

05754f2a8152185f550e1135feb94fdc85e4046c

[ "MIT" ]

null

import collections from numpy.core.defchararray import lower import streamlit as st import numpy as np import pandas as pd from pages import utils def app(): st.title("WhatApp Customer Service") st.subheader("Where automation matters")

25.3

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1

0

1

0

3

11d7cc28fca1672a8acd01df3e20ebc2577f0edc

3,127

py

Python

dipy/reconst/tests/test_odf.py

Garyfallidis/dipy

4341b734995d6f51ac9c16df26a7de00c46f57ef

[ "BSD-3-Clause" ]

3

2015-07-31T20:43:18.000Z

2019-07-26T13:58:07.000Z

dipy/reconst/tests/test_odf.py

Garyfallidis/dipy

4341b734995d6f51ac9c16df26a7de00c46f57ef

[ "BSD-3-Clause" ]

9

2015-05-13T17:44:42.000Z

2018-05-27T20:09:55.000Z

dipy/reconst/tests/test_odf.py

Garyfallidis/dipy

4341b734995d6f51ac9c16df26a7de00c46f57ef

[ "BSD-3-Clause" ]

3

2016-08-05T22:43:16.000Z

2017-06-23T18:35:13.000Z

import numpy as np from numpy.testing import assert_array_equal from ..odf import OdfFit, OdfModel, gfa from dipy.core.triangle_subdivide import (create_half_unit_sphere, disperse_charges) from nose.tools import (assert_almost_equal, assert_equal, assert_raises, assert_true) class SimpleOdfModel(OdfModel): def __init__(self): v, e, f = create_half_unit_sphere(4) self.set_odf_vertices(v, e) self.odf = (v * [1, 2, 3]).sum(-1) def evaluate_odf(self, signal): return self.odf def test_OdfModelfit(): data = np.zeros((10,2)) # Test basic case model = SimpleOdfModel() odffit = model.fit(data, normalize_peaks=1) assert_array_equal(odffit.gfa, gfa(model.odf)) assert_array_equal(odffit.peak_values[:, 0], 1.) assert_array_equal(odffit.peak_values[:, 1:], 0.) mn, mx = model.odf.min(), model.odf.max() assert_array_equal(odffit.qa[:, 0], (mx - mn) / mx) assert_array_equal(odffit.qa[:, 1:], 0.) assert_array_equal(odffit.peak_indices[:, 0], 53) assert_array_equal(odffit.peak_indices[:, 1:], -1) # Test that odf array matches and is right shape odffit = model.fit(data, return_odf=True) expected_shape = (len(data), len(model.odf)) assert_equal(odffit.odf.shape, expected_shape) assert_true((model.odf == odffit.odf).all()) assert_array_equal(odffit.peak_values[:, 0], model.odf.max()) # Test mask mask = (np.arange(10) % 2) == 1 odffit = model.fit(data, mask=mask, normalize_peaks=True) assert_array_equal(odffit.gfa[~mask], 0) assert_array_equal(odffit.qa[~mask], 0) assert_array_equal(odffit.peak_values[~mask], 0) assert_array_equal(odffit.peak_indices[~mask], -1) assert_array_equal(odffit.gfa[mask], gfa(model.odf)) assert_array_equal(odffit.peak_values[mask, 0], 1.) assert_array_equal(odffit.peak_values[mask, 1:], 0.) mn, mx = model.odf.min(), model.odf.max() assert_array_equal(odffit.qa[mask, 0], (mx - mn) / mx) assert_array_equal(odffit.qa[mask, 1:], 0.) assert_array_equal(odffit.peak_indices[mask, 0], 53) assert_array_equal(odffit.peak_indices[mask, 1:], -1) def test_OdfModelgetpeaks(): model = SimpleOdfModel() peaks = model.get_directions(None) assert_array_equal(peaks, model.odf_vertices[[53]]) class TestOdfModel(): def test_angular_distance(self): model = SimpleOdfModel() assert_almost_equal(model.angular_distance_threshold, 45) model.angular_distance_threshold = 60 assert_almost_equal(model.angular_distance_threshold, 60) assert_almost_equal(model._cos_distance_threshold, .5) def test_set_odf_vertices(self): model = OdfModel() v, e, f = create_half_unit_sphere(4) model.set_odf_vertices(v, e) assert_array_equal(v, model.odf_vertices) assert_array_equal(e, model.odf_edges) assert_array_equal(abs(v.dot(v.T)), model._distance_matrix) assert_raises(ValueError, model.set_odf_vertices, v[:, :2], e) assert_raises(ValueError, model.set_odf_vertices, v/2, e)

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null

0

1

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3

11e827caf9a2f6b79a2d0287af4086e1ef14f2b8

269

py

Python

bindings/kepler.gl-jupyter/keplergl/__init__.py

sw1227/kepler.gl

14c35fc048a745faab0c6770cab7a4625ccedda3

[ "MIT" ]

4,297

2019-05-04T01:29:14.000Z

2022-03-31T19:28:10.000Z

bindings/kepler.gl-jupyter/keplergl/__init__.py

sw1227/kepler.gl

14c35fc048a745faab0c6770cab7a4625ccedda3

[ "MIT" ]

968

2019-05-05T16:13:03.000Z

2022-03-30T13:11:31.000Z

bindings/kepler.gl-jupyter/keplergl/__init__.py

sw1227/kepler.gl

14c35fc048a745faab0c6770cab7a4625ccedda3

[ "MIT" ]

1,082

2019-05-04T15:55:24.000Z

2022-03-30T16:27:53.000Z

from ._version import version_info, __version__ from .keplergl import * def _jupyter_nbextension_paths(): return [{ 'section': 'notebook', 'src': 'static', 'dest': 'keplergl-jupyter', 'require': 'keplergl-jupyter/extension' }]

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0

null

0

1

0

1

0

3

eeaca61d7f8a12d9407b89ba0d429021d517e4c0

179

py

Python

problem0650.py

kmarcini/Project-Euler-Python

d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3

[ "BSD-3-Clause" ]

null

problem0650.py

kmarcini/Project-Euler-Python

d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3

[ "BSD-3-Clause" ]

null

problem0650.py

kmarcini/Project-Euler-Python

d644e8e1ec4fac70a9ab407ad5e1f0a75547c8d3

[ "BSD-3-Clause" ]

null

########################### # # #650 Divisors of Binomial Product - Project Euler # https://projecteuler.net/problem=650 # # Code by Kevin Marciniak # ###########################

19.888889

51

0.502793

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179

5.625

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0.117318

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null

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null

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0

null

0

1

0

null

0

1

0

3

eef278f2f4e2c217a17b9bdf16a63771a1fe90a6

107

py

Python

Guitarist.py

Stanels42/pythonic-garage-band

7dfdec84073720998368cc2042bed011244c88ae

[ "MIT" ]

1

2021-10-01T09:48:42.000Z

Guitarist.py

Stanels42/pythonic-garage-band

7dfdec84073720998368cc2042bed011244c88ae

[ "MIT" ]

1

2019-12-06T04:22:11.000Z

Guitarist.py

Stanels42/pythonic-garage-band

7dfdec84073720998368cc2042bed011244c88ae

[ "MIT" ]

1

2019-12-06T19:39:55.000Z

from Musician import Musician class Guitarist(Musician): solo = 'Guitar Sounds' instrument = 'Guitar'

17.833333

29

0.747664

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null

0

1

0

null

0

1

0

3

e10a689e78f45e04945a350aa7275406f0c3d7c2

72

py

Python

numberstest.py

dreadnaught-ETES/school

9faa2b6379db8f819872b8597896f5291812c5d6

[ "CC0-1.0" ]

null

numberstest.py

dreadnaught-ETES/school

9faa2b6379db8f819872b8597896f5291812c5d6

[ "CC0-1.0" ]

null

numberstest.py

dreadnaught-ETES/school

9faa2b6379db8f819872b8597896f5291812c5d6

[ "CC0-1.0" ]

null

import math result=(math.pow(3,2)+1)*(math.fmod(16,7))/7 print(result)

24

45

0.680556

15

72

3.266667

0.733333

0

0.104478

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72

3

46

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1

0

null

0

1

0

null

0

1

0

3

012152e2a37577150f9d63f073997bc92e0bc861

197

py

Python

source/applications/advanced/hand_eye_calibration/ur_hand_eye_calibration/3rdParty/rtde-2.3.6/setup.py

ebruun/python-samples

746e5090f45659c60f01bf831a0308966d713b21

[ "BSD-3-Clause" ]

10

2020-12-03T22:59:39.000Z

2022-03-27T07:31:42.000Z

source/applications/advanced/hand_eye_calibration/ur_hand_eye_calibration/3rdParty/rtde-2.3.6/setup.py

ebruun/python-samples

746e5090f45659c60f01bf831a0308966d713b21

[ "BSD-3-Clause" ]

55

2019-07-23T09:05:27.000Z

2020-11-02T14:42:55.000Z

source/applications/advanced/hand_eye_calibration/ur_hand_eye_calibration/3rdParty/rtde-2.3.6/setup.py

ebruun/python-samples

746e5090f45659c60f01bf831a0308966d713b21

[ "BSD-3-Clause" ]

4

2020-01-09T08:36:23.000Z

2020-09-12T20:28:31.000Z

# -*- coding: utf-8 -*- from setuptools import setup setup( name="UrRtde", packages=["rtde"], version=1.0, description="Real-Time Data Exchange (RTDE) python client + examples", )

19.7

74

0.639594

24

197

5.25

0.916667

0

0.018987

0.19797

197

9

75

21.888889

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0.106599

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true

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0.142857

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0

null

0

1

0

null

0

1

0

3

0124ac8c7a202aa897f92f830d9e99028d3f1d5a

1,113

py

Python

places/admin.py

moshthepitt/shulezote

e903a208948ab5294183e2a8c2dac9360a184654

[ "MIT" ]

2

2015-12-02T08:14:34.000Z

2020-12-16T19:56:46.000Z

places/admin.py

moshthepitt/shulezote

e903a208948ab5294183e2a8c2dac9360a184654

[ "MIT" ]

4

2016-10-04T12:15:42.000Z

2021-06-10T19:47:39.000Z

places/admin.py

moshthepitt/shulezote

e903a208948ab5294183e2a8c2dac9360a184654

[ "MIT" ]

1

2018-08-20T14:19:32.000Z

from django.contrib import admin from places.models import County, Constituency, Province, District from places.models import Division, Location, SubLocation, SchoolZone class CountyAdmin(admin.ModelAdmin): search_fields = ['name'] class ProvinceAdmin(admin.ModelAdmin): search_fields = ['name'] class DistrictAdmin(admin.ModelAdmin): search_fields = ['name'] class DivisionAdmin(admin.ModelAdmin): search_fields = ['name'] class ConstituencyAdmin(admin.ModelAdmin): search_fields = ['name'] class LocationAdmin(admin.ModelAdmin): search_fields = ['name'] class SubLocationAdmin(admin.ModelAdmin): search_fields = ['name'] class SchoolZoneAdmin(admin.ModelAdmin): search_fields = ['name'] admin.site.register(County, CountyAdmin) admin.site.register(Province, ProvinceAdmin) admin.site.register(District, DistrictAdmin) admin.site.register(Division, DivisionAdmin) admin.site.register(Constituency, ConstituencyAdmin) admin.site.register(Location, LocationAdmin) admin.site.register(SubLocation, SubLocationAdmin) admin.site.register(SchoolZone, SchoolZoneAdmin)

24.195652

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0.779874

117

1,113

7.350427

0.25641

0.139535

0.195349

0.251163

0.32907

0.293023

0

0.111411

1,113

45

70

24.733333

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0.296296

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1

0

false

0

0.111111

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0.703704

0

null

0

1

0

null

0

1

0

3

013d0a444d8fcc0b669cdc39b7c00090f97916cd

110

py

Python

iFarm/iFarmapp/urls.py

vmakar0v/smart-farm

47bd7be4b40bbca57492ae5b8da09cc0635bfa2a

[ "Apache-2.0" ]

null

iFarm/iFarmapp/urls.py

vmakar0v/smart-farm

47bd7be4b40bbca57492ae5b8da09cc0635bfa2a

[ "Apache-2.0" ]

null

iFarm/iFarmapp/urls.py

vmakar0v/smart-farm

47bd7be4b40bbca57492ae5b8da09cc0635bfa2a

[ "Apache-2.0" ]

null

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

15.714286

41

0.681818

16

110

4.5625

0.625

0.136986

0

0.181818

110

6

42

18.333333

0.811111

0

0.054545

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

0145f0c317a0b7c0a803c27a724e95a60c8be847

226

py

Python

example.py

austitech/Tokenizer

005bd6772ef3298b222c05e3357bf22961978a57

[ "MIT" ]

null

example.py

austitech/Tokenizer

005bd6772ef3298b222c05e3357bf22961978a57

[ "MIT" ]

null

example.py

austitech/Tokenizer

005bd6772ef3298b222c05e3357bf22961978a57

[ "MIT" ]

null

from tokenizer import StringTokenizer from token import tokentype text = open('test.ex', 'r').read() t = StringTokenizer(text=text, tokentype=tokentype) token_generator = t.create_token_generator() print(token_generator)

18.833333

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226

5.965517

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0.110619

226

11

52

20.545455

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0.333333

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0.333333

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1

0

null

1

0

null

0

1

0

3

014640d43ebc7a1a3b58c97712655fc4e51f491b

6,887

py

Python

src/genie/libs/parser/iosxe/tests/ShowPlatformSoftwareFed/cli/equal/golden_output3_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowPlatformSoftwareFed/cli/equal/golden_output3_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowPlatformSoftwareFed/cli/equal/golden_output3_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output ={ "lentry_label": { 24: { "aal": { "deagg_vrf_id": 0, "eos0": {"adj_hdl": "0xf9000002", "hw_hdl": "0x7f02737e2ca8"}, "eos1": {"adj_hdl": "0xf9000002", "hw_hdl": "0x7f02737e2a98"}, "id": 1996488716, "lbl": 24, "lspa_handle": "0", }, "adj": { 109: { "adj": "0xdf000026", "ifnum": "0x33", "link_type": "MPLS", "si": "0x7f0273423ab8", }, 139: { "adj": "0x5c000037", "ifnum": "0x36", "link_type": "MPLS", "si": "0x7f02737a2348", }, }, "backwalk_cnt": 0, "label": { 31: { "adj_handle": "0x62000061", "bwalk_cnt": 0, "collapsed_oce": 0, "flags": {"0x1": ["REAL"]}, "label_aal": { 1644167265: { "adj_flags": "0", "di_id": "0x526d", "dmac": "0027.90bf.2ee7", "label_type": 2, "lbl": 0, "link_type": 2, "phdl": "0xab000447", "ref_cnt": 1, "rewrite_type": "PSH1(119)", "ri": "0x7f02737e8a98", "ri_id": "0x4e", "si": "0x7f02737c1b08", "si_id": "0x4034", "smac": "00a7.42d6.c41f", "sub_type": 0, "vlan_id": 0, "vrf_id": 0, } }, "link_type": "MPLS", "local_adj": 0, "local_label": 24, "modify_cnt": 0, "olbl_changed": 0, "outlabel": "(34, 0)", "pdflags": {"0": ["INSTALL_HW_OK"]}, "subwalk_cnt": 0, "unsupported_recursion": 0, }, 32: { "adj_handle": "0x89000062", "bwalk_cnt": 0, "collapsed_oce": 0, "flags": {"0x1": ["REAL"]}, "label_aal": { 2298478690: { "adj_flags": "0", "di_id": "0x5268", "dmac": "00a7.42ce.f69f", "label_type": 2, "lbl": 0, "link_type": 2, "phdl": "0x7c000442", "ref_cnt": 1, "rewrite_type": "PSH1(119)", "ri": "0x7f027379b138", "ri_id": "0x24", "si": "0x7f02737a4d58", "si_id": "0x4035", "smac": "00a7.42d6.c41f", "sub_type": 0, "vlan_id": 0, "vrf_id": 0, } }, "link_type": "MPLS", "local_adj": 0, "local_label": 24, "modify_cnt": 0, "olbl_changed": 0, "outlabel": "(29, 0)", "pdflags": {"0": ["INSTALL_HW_OK"]}, "subwalk_cnt": 0, "unsupported_recursion": 0, }, }, "lb": { 38: { "aal": { "af": 0, "ecr_id": 4177526786, "ecr_type": "0", "ecrh": "0x7f02737e49f8(28:2)", "hwhdl": ":1937656312 " "::0x7f02737e11c8,0x7f02737e2728,0x7f02737e11c8,0x7f02737e2728", "ref": 3, }, "bwalk": {"in_prog": 0, "nested": 0, "req": 0}, "bwalk_cnt": 0, "ecr_map_objid": 0, "ecrh": "0xf9000002", "finish_cnt": 0, "flags": "0", "link_type": "IP", "local_label": 24, "modify_cnt": 0, "mpls_ecr": 1, "num_choices": 2, "old_ecrh": "0", "path_inhw": 2, "subwalk_cnt": 0, } }, "lentry_hdl": "0x7700000c", "lspa_handle": "0", "modify_cnt": 8, "nobj": ["LB", " 38"], "sw_enh_ecr_scale": { 38: { "adjs": 2, "ecr_adj": { 1644167265: { "adj_lentry": "[eos0:0x7f02734123b8 " "eos1:0x7f02737ec5e8]", "di_id": 20499, "is_mpls_adj": 1, "l3adj_flags": "0x100000", "recirc_adj_id": 3120562239, "rih": "0x7f02737e0bf8(74)", "sih": "0x7f02737e11c8(182)", }, 2298478690: { "adj_lentry": "[eos0:0x7f02737e6dd8 " "eos1:0x7f02737b21d8]", "di_id": 20499, "is_mpls_adj": 1, "l3adj_flags": "0x100000", "recirc_adj_id": 1442840640, "rih": "0x7f02737dcbe8(75)", "sih": "0x7f02737e2728(183)", }, 2483028067: { "di_id": 20499, "rih": "0x7f02737eaa18(52)", "sih": "0x7f02737e4c08(170)", }, }, "ecr_hwhdl": "0x7f02737e49f8", "ecrhdl": "0xf9000002", "eos": 1, "llabel": 24, "mixed_adj": "0", "mod_cnt": 0, "pmismatch": 0, "pordermatch": 0, "prev_npath": 0, "reprogram_hw": "0", } }, } } }

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null

0

1

0

1

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null

0

3

0146de801330617849875f5bc5ee04e2b90625fa

3,610

py

Python

tests/test_simulator_utility.py

tancheng/cache-sim

adfcbec961543a8424988cbadacb575c551f3cc3

[ "MIT" ]

27

2016-02-06T20:49:19.000Z

2021-11-02T03:11:26.000Z

tests/test_simulator_utility.py

tancheng/cache-sim

adfcbec961543a8424988cbadacb575c551f3cc3

[ "MIT" ]

5

2020-02-24T18:57:11.000Z

2021-09-01T00:27:18.000Z

tests/test_simulator_utility.py

tancheng/cache-sim

adfcbec961543a8424988cbadacb575c551f3cc3

[ "MIT" ]

16

2016-02-06T20:49:06.000Z

2022-01-14T02:49:14.000Z

#!/usr/bin/env python3 import nose.tools as nose from cachesimulator.bin_addr import BinaryAddress from cachesimulator.word_addr import WordAddress def test_get_bin_addr_unpadded(): """get_bin_addr should return unpadded binary address of word address""" nose.assert_equal( BinaryAddress(word_addr=WordAddress(180)), '10110100') def test_get_bin_addr_padded(): """get_bin_addr should return padded binary address of word address""" nose.assert_equal( BinaryAddress(word_addr=WordAddress(44), num_addr_bits=8), '00101100') def test_prettify_bin_addr_16_bit(): """prettify_bin_addr should prettify 8-bit string into groups of 3""" nose.assert_equal( BinaryAddress.prettify('1010101110101011', min_bits_per_group=3), '1010 1011 1010 1011') def test_prettify_bin_addr_8_bit(): """prettify_bin_addr should prettify 8-bit string into groups of 3""" nose.assert_equal( BinaryAddress.prettify('10101011', min_bits_per_group=3), '1010 1011') def test_prettify_bin_addr_7_bit(): """prettify_bin_addr should prettify 7-bit string into groups of 3""" nose.assert_equal( BinaryAddress.prettify('1011010', min_bits_per_group=3), '101 1010') def test_prettify_bin_addr_6_bit(): """prettify_bin_addr should prettify 6-bit string into groups of 3""" nose.assert_equal( BinaryAddress.prettify('101011', min_bits_per_group=3), '101 011') def test_prettify_bin_addr_5_bit(): """prettify_bin_addr should prettify 5-bit string into groups of 3""" nose.assert_equal( BinaryAddress.prettify('10110', min_bits_per_group=3), '10110') def test_get_tag_5_bit(): """get_tag should return correct 5 tag bits for an address""" nose.assert_equal( BinaryAddress('10110100').get_tag(num_tag_bits=5), '10110') def test_get_tag_0_bit(): """get_tag should return None if no bits are allocated to a tag""" nose.assert_is_none( BinaryAddress('10110100').get_tag(num_tag_bits=0)) def test_get_index_2_bit(): """get_index should return correct 2 index bits for an address""" nose.assert_equal( BinaryAddress('11111101').get_index( num_offset_bits=1, num_index_bits=2), '10') def test_get_index_0_bit(): """get_index should return None if no bits are allocated to an index""" nose.assert_is_none( BinaryAddress('11111111').get_index( num_offset_bits=1, num_index_bits=0)) def test_get_offset_2_bit(): """get_offset should return correct 2 offset bits for an address""" nose.assert_equal( BinaryAddress('11111101').get_offset(num_offset_bits=2), '01') def test_get_offset_0_bit(): """get_offset should return None if no bits are allocated to an offset""" nose.assert_is_none( BinaryAddress('10110100').get_offset(num_offset_bits=0)) def test_get_consecutive_words_1_word(): """get_consecutive_words should return same word for 1-word blocks""" nose.assert_equal( WordAddress(23).get_consecutive_words(num_words_per_block=1), [23]) def test_get_consecutive_words_2_word(): """get_consecutive_words should return correct words for 2-word blocks""" nose.assert_equal( WordAddress(22).get_consecutive_words(num_words_per_block=2), [22, 23]) def test_get_consecutive_words_4_word(): """get_consecutive_words should return correct words for 4-word blocks""" nose.assert_equal( WordAddress(21).get_consecutive_words(num_words_per_block=4), [20, 21, 22, 23])

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0.713573

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3,610

4.564639

0.163498

0.046647

0.081216

0.116618

0.835485

0.66389

0.525198

0.391087

0.372761

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0.078465

0.184488

3,610

115

78

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0.737092

0.289751

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0.25

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0.25

true

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0

null

0

1

0

null

0

1

0

3

0176442d3722d717b493ddc5a58d8dea96dab8d8

521

py

Python

UNF/data/field.py

waterzxj/UNF

5eda8e7c60116735f595f4b21b24547708b36cf5

[ "Apache-2.0" ]

86

2020-02-23T13:38:11.000Z

2022-03-01T12:09:28.000Z

UNF/data/field.py

Dreamliking/UNF

5eda8e7c60116735f595f4b21b24547708b36cf5

[ "Apache-2.0" ]

2

2020-04-20T08:33:05.000Z

2020-05-13T13:43:08.000Z

UNF/data/field.py

Dreamliking/UNF

5eda8e7c60116735f595f4b21b24547708b36cf5

[ "Apache-2.0" ]

14

2020-03-07T05:21:44.000Z

2021-05-09T16:57:23.000Z

#coding:utf-8 """ 对处理数据域的抽象 """ from torchtext.data.field import RawField, Field, LabelField class WordField(Field): """ 数据词域的抽象 """ def __init__(self, **kwarg): print(kwarg) super(WordField, self).__init__(**kwarg) class CharField(Field): """ 数据字符域的抽象 """ def __init__(self, **kwarg): super(CharField, self).__init__(**kwarg) class SiteField(Field): """ 站点域的抽象 """ def __init__(self, **kwarg): super(SiteField, self).__init__(**kwarg)

17.965517

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0.596929

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521

5.415094

0.45283

0.073171

0.114983

0.167247

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0.002532

0.241843

521

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61

18.607143

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false

0

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0.090909

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null

0

1

0

null

0

1

0

1

0

3

6d82b1a75112fd7c369738ca11d64f3111ccd886

234

py

Python

Ch3/same_name3.py

dmdinh22/ATBS

3ddd331757cc434faa5f27997b178f8a39e3b5d2

[ "MIT" ]

null

Ch3/same_name3.py

dmdinh22/ATBS

3ddd331757cc434faa5f27997b178f8a39e3b5d2

[ "MIT" ]

null

Ch3/same_name3.py

dmdinh22/ATBS

3ddd331757cc434faa5f27997b178f8a39e3b5d2

[ "MIT" ]

null

def spam(): global eggs eggs = "spam" # this is the global var def bacon(): eggs = "bacon" # this is a local var def ham(): print(eggs) # this is the global var eggs = 42 # this is the global var spam() print(eggs)

16.714286

42

0.619658

39

234

3.717949

0.358974

0.165517

0.186207

0.310345

0.372414

0

0.011696

0.269231

234

13

43

18

0.836257

0.376068

0

0.2

0

0.06383

0

1

0.3

false

0

0.3

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0

null

0

1

0

null

0

1

0

3

6d86c4391d19b15cd170a51c7f4c70bd4a42f337

265

py

Python

app/table.py

aamnv/fred-cli

86810e93242a90dd8ed1fbbd8999275dbd1da1cc

[ "MIT" ]

8

2020-08-28T15:15:14.000Z

2021-02-02T07:54:02.000Z

app/table.py

aamnv/fred-cli

86810e93242a90dd8ed1fbbd8999275dbd1da1cc

[ "MIT" ]

null

app/table.py

aamnv/fred-cli

86810e93242a90dd8ed1fbbd8999275dbd1da1cc

[ "MIT" ]

1

2021-03-05T10:27:32.000Z

from tabulate import tabulate def make_table(series_data): table = tabulate(series_data, headers='keys', tablefmt='github') return table def make_data_table_footer(series_metadata): table = tabulate(series_metadata, headers='keys') return table

22.083333

68

0.754717

34

265

5.647059

0.441176

0.072917

0.197917

0

0.154717

265

12

69

22.083333

0.857143

0

0.285714

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0.052632

0

1

0.285714

false

0

0.142857

0

0.714286

0

null

0

1

0

null

0

1

0

1

0

3

6dace628e580ac178333748655d75c5708c2a7c6

502

py

Python

main/views/admin/dashboard/dashboard_controller.py

tiberiucorbu/av-website

f26f44a367d718316442506b130a7034697670b8

[ "MIT" ]

null

main/views/admin/dashboard/dashboard_controller.py

tiberiucorbu/av-website

f26f44a367d718316442506b130a7034697670b8

[ "MIT" ]

null

main/views/admin/dashboard/dashboard_controller.py

tiberiucorbu/av-website

f26f44a367d718316442506b130a7034697670b8

[ "MIT" ]

null

# coding: utf-8 from flask.ext import wtf import flask import wtforms import auth import config import model import util from main import app ############################################################################### # Admin Stuff ############################################################################### @app.route('/admin/') @auth.admin_required def admin(): return flask.render_template( 'admin/dashboard/dashboard.html', title='Admin', html_class='admin', )

19.307692

79

0.482072

47

502

5.085106

0.574468

0

0.002299

0.133466

502

25

80

20.08

0.547126

0.049801

0

0.148734

0.094937

0

1

0.0625

true

0

0.5

0.0625

0.625

0

null

0

null

0

1

0

1

0

1

0

3

6db2c1ba2f0973e1c395b6375ee992a3997ea0f6

2,967

py

Python

mlib/boot/lang.py

mgroth0/mlib

0442ed51eab417b6972f885605afd351892a3a9a

[ "MIT" ]

1

2020-06-16T17:26:45.000Z

mlib/boot/lang.py

mgroth0/mlib

0442ed51eab417b6972f885605afd351892a3a9a

[ "MIT" ]

null

mlib/boot/lang.py

mgroth0/mlib

0442ed51eab417b6972f885605afd351892a3a9a

[ "MIT" ]

null

import collections import os from pathlib import Path def setter(f): return property(None, f) enum = enumerate def esorted(l): return enum(sorted(l)) def cn(o): return o.__class__.__name__ def strcmp(s1, s2, ignore_case=False): if ignore_case: return s1.lower() == s2.lower() return s1 == s2 def inv_map(d): return {v: k for k, v in d.items()} def num2str(num): return str(num) def isblank(s): return len(s.replace(' ', '').replace('\t', '').replace('\n', '').replace('\r', '')) == 0 def notblank(s): return not isblank(s) def isblankstr(s): return isstr(s) and isblank(s) def composed(*decs): # https://stackoverflow.com/questions/5409450/can-i-combine-two-decorators-into-a-single-one-in-python def deco(f): for dec in reversed(decs): f = dec(f) return f return deco def listkeys(d): from mlib.boot.stream import li return li(d.keys()) def listvalues(d): from mlib.boot.stream import li return li(d.values()) def all_or_break(li, lamb): for o in li: if not lamb(o): return False return True def strrep(s, s1, s2): return s.replace(s1, s2) def classname(o): return o.__class__.__name__ def simple_classname(o): return classname(o).split('.')[-1] def isa(o, name): return classname(o) == name def isnumber(o): import numpy as np return isinstsafe(o, int) or isinstsafe(o, float) or isinstsafe(o, np.long) def will_break_numpy(o): return not isnumber(o) and not isstr(o) and not isbool(o) and not islist(o) def isinstsafe(o, c): from mlib.inspect import all_superclasses return isinstance(o, c) or c in all_superclasses(o.__class__) def isslice(v): return isinstance(v, slice) def isint(v): import numpy as np return isinstance(v, int) or isinstance(v, np.int64) def isdict(v): return isinstance(v, dict) def isdictsafe(v): return isinstance(v, collections.Mapping) def islistsafe(v): return isinstance(v, collections.Sequence) def iscls(v): return isinstance(v, type) def isfun(v): return callable(v) and not iscls(v) def isdigit(s): return s.isdigit() def isstr(v): from mlib.str import StringExtension return isinstance(v, str) or isinstance(v, StringExtension) def istuple(v): return isinstance(v, tuple) def islist(v): return isinstance(v, list) def isbool(v): return isinstance(v, bool) def isitr(v): import typing return isinstance(v, collections.Iterable) or isinstance(v, typing.Iterable) # not sure if I need both def is_non_str_itr(o): return isitr(o) and not isstr(o) def addpath(p): import sys sys.path.append(p) def ismac(): import platform return platform.system() == 'Darwin' def islinux(): import platform return platform.system() == 'Linux' def pwd(): return os.getcwd() HOME = str(Path.home()) DESKTOP = os.path.join(HOME, 'Desktop') DEBUG = True NORMAL = False

20.894366

107

0.664307

456

2,967

4.25

0.335526

0.079463

0.096491

0.074303

0.157895

0.057792

0.037152

0

0.009334

0.205595

2,967

141

108

21.042553

0.812898

0.041793

0

0.061224

0

0.009155

0

1

0.397959

false

0

0.132653

0.255102

0.887755

0

null

0

null

0

1

0

1

0

3

6dea9c8146d56fa2b4a9cdd2da0bad21ab08f14c

1,078

py

Python

test/solutions/test_checkout.py

DPNT-Sourcecode/CHK-mxxq01

85be1ef3e87a6490d1490b64596de25d7e3cb60e

[ "Apache-2.0" ]

null

test/solutions/test_checkout.py

DPNT-Sourcecode/CHK-mxxq01

85be1ef3e87a6490d1490b64596de25d7e3cb60e

[ "Apache-2.0" ]

null

test/solutions/test_checkout.py

DPNT-Sourcecode/CHK-mxxq01

85be1ef3e87a6490d1490b64596de25d7e3cb60e

[ "Apache-2.0" ]

null

import unittest from lib.solutions.checkout import checkout class TestSum(unittest.TestCase): def test_checkout(self): self.assertEqual(checkout("ABC"), 50+30+20) self.assertEqual(checkout("ABCCCD"), 50+30+20*3+15) self.assertEqual(checkout("AAA"), 130) self.assertEqual(checkout("AAAAB"), 130+50+30) self.assertEqual(checkout("AAAAAAAAB"), 130+200+30) self.assertEqual(checkout("EEBB"), 40*2+30) self.assertEqual(checkout("EEBBB"), 40*2+45) self.assertEqual(checkout("EEEEBBB"), 40*4+30) self.assertEqual(checkout("FF"), 20) self.assertEqual(checkout("FFF"), 20) self.assertEqual(checkout("FFFFF"), 40) self.assertEqual(checkout("FFFFFF"), 40) def test_group_buy(self): self.assertEqual(checkout("ZZTSR"), 50+20+45) self.assertEqual(checkout("ZZZ"), 45) self.assertEqual(checkout("ZZZZ"), 45+21) self.assertEqual(checkout("ZZZX"), 45+17) self.assertEqual(checkout("ZZZZXS"), 45*2) if __name__ == '__main__': unittest.main()

35.933333

59

0.646568

132

1,078

5.19697

0.363636

0.37172

0.569971

0.145773

0

0.085812

0.189239

1,078

29

60

37.172414

0.699085

0

0.081633

0

0.708333

1

0.083333

false

0

0.083333

0

0.208333

0

null

1

0

null

0

1

0

3

6df1e73647be403745ebe4c69e672889f9a73f91

162

py

Python

obdlive/obd/urls.py

hoke-t/OBDLive

524fb53fad5924b8371d2fce8d7a482bd8112362

[ "MIT" ]

8

2018-12-15T16:41:21.000Z

2021-10-03T21:19:11.000Z

obdlive/obd/urls.py

hoke-t/OBDLive

524fb53fad5924b8371d2fce8d7a482bd8112362

[ "MIT" ]

null

obdlive/obd/urls.py

hoke-t/OBDLive

524fb53fad5924b8371d2fce8d7a482bd8112362

[ "MIT" ]

1

2020-07-27T18:15:58.000Z

from django.urls import path from . import views urlpatterns = [ path('', views.dashboard, name='dashboard'), path('dtcs/', views.dtcs, name='dtcs'), ]

18

48

0.654321

20

162

5.3

0.5

0

0.17284

162

8

49

20.25

0.791045

0

0.111111

0

1

0

false

0

0.333333

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0.333333

0

1

0

null

0

1

0

null

0

1

0

3

6df6c6b55d592803eb12aa9541c59df303c76397

155

py

Python

app/core/urls.py

kmnkit/web-todo

e06e42f5b68b2b9473fad820857634a9c5c0dadf

[ "MIT" ]

null

app/core/urls.py

kmnkit/web-todo

e06e42f5b68b2b9473fad820857634a9c5c0dadf

[ "MIT" ]

null

app/core/urls.py

kmnkit/web-todo

e06e42f5b68b2b9473fad820857634a9c5c0dadf

[ "MIT" ]

null

from django.urls import path from teams.views import TeamListView app_name = "core" urlpatterns = [ path("", TeamListView.as_view(), name="home"), ]

17.222222

50

0.709677

20

155

5.4

0.75

0

0.154839

155

8

51

19.375

0.824427

0

0.051613

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

6df9c88395294e4e4698984383fb2662d33b928e

2,617

py

Python

qtum_bridge/R8Blockchain/ethereumblockchain.py

Robin8Put/pmes

338bec94162098f05b75bad035417317e1252fd2

[ "Apache-2.0" ]

5

2018-07-31T07:37:09.000Z

2019-05-27T04:40:38.000Z

eth_bridge/R8Blockchain/ethereumblockchain.py

Robin8Put/pmes

338bec94162098f05b75bad035417317e1252fd2

[ "Apache-2.0" ]

4

2018-08-01T11:11:54.000Z

2022-03-11T23:20:53.000Z

qtum_bridge/R8Blockchain/ethereumblockchain.py

Robin8Put/pmes

338bec94162098f05b75bad035417317e1252fd2

[ "Apache-2.0" ]

5

2018-06-09T07:42:04.000Z

2018-12-28T21:15:52.000Z

from web3 import Web3, IPCProvider, HTTPProvider from web3.middleware import geth_poa_middleware from R8Blockchain.blockchain_handler import BlockchainHandler from hashlib import sha256 import codecs from web3.contract import ConciseContract class EthereumBlockchain(BlockchainHandler): def __init__(self, eth_rpc): self.w3 = eth_rpc self.w3.middleware_stack.inject(geth_poa_middleware, layer=0) self.decode_hex = codecs.getdecoder("hex_codec") self.encode_hex = codecs.getencoder("hex_codec") @classmethod def from_ipc_path(cls, ipc_path): return cls(Web3(IPCProvider(ipc_path))) @classmethod def from_http_provider(cls, http_provider): return cls(Web3(HTTPProvider(http_provider))) def reload_http_provider(self, http_provider): self.w3 = Web3(HTTPProvider(http_provider)) def reload_ipc_path(self, ipc_path): self.w3 = Web3(IPCProvider(ipc_path)) def get_last_block_hash(self): return self.encode_hex(self.w3.eth.getBlock('latest').hash)[0].decode() def get_second_last_block_hash(self): return self.encode_hex(self.w3.eth.getBlock(self.get_block_count()-1).hash)[0].decode() def get_last_block_id(self): return self.get_block_id(self.get_block_count()) def get_second_last_block_id(self): return self.get_block_id(self.get_block_count()-1) def get_block_id(self, height): block_hash = self.get_block_hash(height) l = sha256(self.decode_hex(block_hash)[0]).hexdigest() r = hex(height) return l[0:10] + r[2:].rjust(10, '0') def get_block_hash(self, height): return self.encode_hex(self.w3.eth.getBlock(height).hash)[0].decode() def get_block_count(self): return self.w3.eth.blockNumber def get_unspent(self): accounts = self.w3.personal.listAccounts return {acc: self.w3.eth.getBalance(acc) for acc in accounts} def get_accounts(self): return self.w3.personal.listAccounts def get_balance(self): res = 0 for account in self.get_accounts(): res += self.w3.eth.getBalance(account) return res def from_hex_address(self, address): return address if __name__ == '__main__': eth_blockchain = EthereumBlockchain.from_ipc_path(ipc_path='/home/artem/.ethereum/rinkeby/geth.ipc') res = eth_blockchain.get_last_block_hash() print(eth_blockchain.get_block_count()) res = eth_blockchain.get_block_hash(1200) print(res) print(eth_blockchain.get_balance()) print(eth_blockchain.get_unspent())

30.788235

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2,617

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31.154762

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0.014526

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0.271186

false

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0.101695

0.169492

0.610169

0.067797

0

null

0

null

0

1

0

1

0

3

09735c1ad6c8d9ce147599ce6ceedfef6549b227

116

py

Python

001085StepikPythonIntrO/Stepik001085PythonIntrOсh01p04st05С05_20200410.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001085StepikPythonIntrO/Stepik001085PythonIntrOсh01p04st05С05_20200410.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

001085StepikPythonIntrO/Stepik001085PythonIntrOсh01p04st05С05_20200410.py

SafonovMikhail/python_000577

739f764e80f1ca354386f00b8e9db1df8c96531d

[ "Apache-2.0" ]

null

n = float(input()) m = float(input()) max = max(n, m) min = min(n, m) time = max - min print(time // 60, time % 60)

16.571429

28

0.560345

22

116

2.954545

0.409091

0.307692

0

0.043956

0.215517

116

6

29

19.333333

0.67033

0

1

0

false

0

0.166667

1

0

null

1

0

1

0

null

0

3

097d4bce40bb327df22e412c466f7654eaea0ad3

282

py

Python

code/chapter-2/exercise2_8.py

Kevin-Oudai/python-solutions

d67f6b14723b000fec0011c3e8156b805eb288f7

[ "MIT" ]

null

code/chapter-2/exercise2_8.py

Kevin-Oudai/python-solutions

d67f6b14723b000fec0011c3e8156b805eb288f7

[ "MIT" ]

null

code/chapter-2/exercise2_8.py

Kevin-Oudai/python-solutions

d67f6b14723b000fec0011c3e8156b805eb288f7

[ "MIT" ]

null

mass = eval(input("Enter the amount of water in kilograms: ")) initial_temp = eval(input("Enter the initial temperature: ")) final_temp = eval(input("Enter the final temperature: ")) energy = mass * (final_temp - initial_temp) * 4184 print("The energy needed is {}".format(energy))

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1

0

null

0

3

097f69d052a1e922b006db68fee1c80d1a486da1

1,482

py

Python

kaggle-lung-cancer-approach2/modules/ctscan.py

flaviostutz/datascience-snippets

768083c4eda972bc1f6548baa86751e0405bda9b

[ "MIT" ]

2

2017-06-05T17:25:55.000Z

2018-02-04T04:01:13.000Z

kaggle-lung-cancer-approach2/modules/ctscan.py

flaviostutz/datascience-snippets

768083c4eda972bc1f6548baa86751e0405bda9b

[ "MIT" ]

null

kaggle-lung-cancer-approach2/modules/ctscan.py

flaviostutz/datascience-snippets

768083c4eda972bc1f6548baa86751e0405bda9b

[ "MIT" ]

null

import glob import SimpleITK as sitk import numpy as np class CTScanMhd(object): def __init__(self, base_dir, filename): self.filename = filename self.coords = None self.base_dir = base_dir path = glob.glob(self.base_dir + '/*/' + self.filename + '.mhd') self.ds = sitk.ReadImage(path[0]) self.image = sitk.GetArrayFromImage(self.ds) def set_coords(self, coords): self.coords = (coords[2], coords[1], coords[0]) def get_resolution(self): return self.ds.GetSpacing() def get_origin(self): return self.ds.GetOrigin() def get_ds(self): return self.ds def get_voxel_coords(self): origin = self.get_origin() resolution = self.get_resolution() voxel_coords = [np.absolute(self.coords[j]-origin[j])/resolution[j] \ for j in range(len(self.coords))] return tuple(voxel_coords) def get_image(self): return self.image def get_subimage(self, center, dims): self.set_coords(center) x, y, z = self.get_voxel_coords() subImage = self.image[int(z-dims[0]/2):int(z+dims[0]/2), int(y-dims[1]/2):int(y+dims[1]/2), int(x-dims[2]/2):int(x+dims[2]/2)] return subImage def get_normalized_image(self, minHU, maxHU): #maxHU = 400. #minHU = -1000. img = (self.image - minHU) / (maxHU - minHU) img[img>1] = 1. img[img<0] = 0. return img

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1,482

4.105769

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0.04918

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null

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null

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1

0

3

09871d53ff57c8147e01e850c7f2f9d9467db849

89,305

py

Python

tests/unit/pywbemcli/test_class_cmds.py

pywbem/pywbemtools

6b7c3f124324fd3ab7cffb82bc98c8f9555317e4

[ "Apache-2.0" ]

8

2017-04-01T13:55:00.000Z

2022-03-15T18:28:47.000Z

tests/unit/pywbemcli/test_class_cmds.py

pywbem/pywbemtools

6b7c3f124324fd3ab7cffb82bc98c8f9555317e4

[ "Apache-2.0" ]

918

2017-03-03T14:29:03.000Z

2022-03-29T15:32:16.000Z

tests/unit/pywbemcli/test_class_cmds.py

pywbem/pywbemtools

6b7c3f124324fd3ab7cffb82bc98c8f9555317e4

[ "Apache-2.0" ]

2

2020-01-17T15:56:46.000Z

2020-02-12T18:49:30.000Z

# Copyright 2018 IBM Corp. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Tests the class command """ from __future__ import absolute_import, print_function import sys import os from packaging.version import parse as parse_version import pytest from pywbem import __version__ as pywbem_version from .cli_test_extensions import CLITestsBase, PYWBEM_0, \ FAKEURL_STR from .common_options_help_lines import CMD_OPTION_NAMES_ONLY_HELP_LINE, \ CMD_OPTION_HELP_HELP_LINE, CMD_OPTION_SUMMARY_HELP_LINE, \ CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_PROPERTYLIST_HELP_LINE, \ CMD_OPTION_INCLUDE_CLASSORIGIN_HELP_LINE, \ CMD_OPTION_LOCAL_ONLY_CLASS_HELP_LINE, CMD_OPTION_NO_QUALIFIERS_HELP_LINE, \ CMD_OPTION_MULTIPLE_NAMESPACE_HELP_LINE, \ CMD_OPTION_ASSOCIATION_FILTER_HELP_LINE, \ CMD_OPTION_INDICATION_FILTER_HELP_LINE, \ CMD_OPTION_EXPERIMENTAL_FILTER_HELP_LINE, \ CMD_OPTION_DEPRECATED_FILTER_HELP_LINE, \ CMD_OPTION_SINCE_FILTER_HELP_LINE, \ CMD_OPTION_SCHEMA_FILTER_HELP_LINE, \ CMD_OPTION_SUBCLASSOF_FILTER_HELP_LINE, \ CMD_OPTION_LEAFCLASSES_FILTER_HELP_LINE _PYWBEM_VERSION = parse_version(pywbem_version) # pywbem 1.0.0 or later PYWBEM_1_0_0 = _PYWBEM_VERSION.release >= (1, 0, 0) # Mock scripts with setup() function are supported MOCK_SETUP_SUPPORTED = sys.version_info >= (3, 5) TEST_DIR = os.path.dirname(__file__) # A mof file that defines basic qualifier decls, classes, and instances # but not tied to the DMTF classes. SIMPLE_MOCK_FILE = 'simple_mock_model.mof' INVOKE_METHOD_MOCK_FILE_0 = 'simple_mock_invokemethod_v0.py' INVOKE_METHOD_MOCK_FILE_1 = 'simple_mock_invokemethod_v1old.py' INVOKE_METHOD_MOCK_FILE = INVOKE_METHOD_MOCK_FILE_0 if PYWBEM_0 else \ INVOKE_METHOD_MOCK_FILE_1 SIMPLE_ASSOC_MOCK_FILE = 'simple_assoc_mock_model.mof' QUALIFIER_FILTER_MODEL = 'qualifier_filter_model.mof' TREE_TEST_MOCK_FILE = 'tree_test_mock_model.mof' SIMPLE_INTEROP_MOCK_FILE = 'simple_interop_mock_script.py' # # The following list defines the help for each command in terms of particular # parts of lines that are to be tested.//FakedUrl:5988 # For each test, try to include: # 1. The usage line and in particular the argument component # 2. The single # 2. The last line CMD_OPTION_HELP_HELP_LINE # CLASS_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class COMMAND [ARGS] [COMMAND-OPTIONS]', 'Command group for CIM classes.', CMD_OPTION_HELP_HELP_LINE, 'associators List the classes associated with a class.', 'delete Delete a class.', 'enumerate List top classes or subclasses of a class in a namespace.', 'find List the classes with matching class names on the server.', 'get Get a class.', 'invokemethod Invoke a method on a class.', 'references List the classes referencing a class.', 'tree Show the subclass or superclass hierarchy for a class.', ] CLASS_ASSOCIATORS_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class associators CLASSNAME ' '[COMMAND-OPTIONS]', 'List the classes associated with a class.', '--ac, --assoc-class CLASSNAME Filter the result set by association class', '--rc, --result-class CLASSNAME Filter the result set by result class', '-r, --role PROPERTYNAME Filter the result set by source end role', '--rr, --result-role PROPERTYNAME Filter the result set by far end role', CMD_OPTION_NO_QUALIFIERS_HELP_LINE, CMD_OPTION_INCLUDE_CLASSORIGIN_HELP_LINE, CMD_OPTION_PROPERTYLIST_HELP_LINE, CMD_OPTION_NAMES_ONLY_HELP_LINE, CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_SUMMARY_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] CLASS_DELETE_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class delete CLASSNAME ' '[COMMAND-OPTIONS]', 'Delete a class.', '-f, --force Same as --include-instances.', '--include-instances Delete any instances of the class as well.', CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] CLASS_ENUMERATE_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class enumerate CLASSNAME ' '[COMMAND-OPTIONS]', 'List top classes or subclasses of a class in a namespace.', '--di, --deep-inheritance Include the complete subclass hierarchy', CMD_OPTION_LOCAL_ONLY_CLASS_HELP_LINE, CMD_OPTION_NO_QUALIFIERS_HELP_LINE, CMD_OPTION_INCLUDE_CLASSORIGIN_HELP_LINE, CMD_OPTION_NAMES_ONLY_HELP_LINE, CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_SUMMARY_HELP_LINE, # NOTE: The FILTER options are a group. Define all of them. CMD_OPTION_ASSOCIATION_FILTER_HELP_LINE, CMD_OPTION_INDICATION_FILTER_HELP_LINE, CMD_OPTION_EXPERIMENTAL_FILTER_HELP_LINE, CMD_OPTION_DEPRECATED_FILTER_HELP_LINE, CMD_OPTION_SINCE_FILTER_HELP_LINE, CMD_OPTION_SCHEMA_FILTER_HELP_LINE, CMD_OPTION_SUBCLASSOF_FILTER_HELP_LINE, CMD_OPTION_LEAFCLASSES_FILTER_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] CLASS_FIND_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class find CLASSNAME-GLOB ' '[COMMAND-OPTIONS]', 'List the classes with matching class names on the server.', '-s, --sort Sort by namespace. Default is to sort by', CMD_OPTION_MULTIPLE_NAMESPACE_HELP_LINE, # FILTER OPTIONS CMD_OPTION_ASSOCIATION_FILTER_HELP_LINE, CMD_OPTION_INDICATION_FILTER_HELP_LINE, CMD_OPTION_EXPERIMENTAL_FILTER_HELP_LINE, CMD_OPTION_DEPRECATED_FILTER_HELP_LINE, CMD_OPTION_SINCE_FILTER_HELP_LINE, CMD_OPTION_SCHEMA_FILTER_HELP_LINE, CMD_OPTION_SUBCLASSOF_FILTER_HELP_LINE, CMD_OPTION_LEAFCLASSES_FILTER_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] CLASS_GET_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class get CLASSNAME [COMMAND-OPTIONS]', 'Get a class.', CMD_OPTION_LOCAL_ONLY_CLASS_HELP_LINE, CMD_OPTION_NO_QUALIFIERS_HELP_LINE, CMD_OPTION_INCLUDE_CLASSORIGIN_HELP_LINE, CMD_OPTION_PROPERTYLIST_HELP_LINE, CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] CLASS_INVOKEMETHOD_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class invokemethod CLASSNAME ' 'METHODNAME [COMMAND-OPTIONS]', 'Invoke a method on a class.', '-p, --parameter PARAMETERNAME=VALUE Specify a method input parameter', CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] CLASS_REFERENCES_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class references CLASSNAME ' '[COMMAND-OPTIONS]', 'List the classes referencing a class.', '--rc, --result-class CLASSNAME Filter the result set by result class', '-r, --role PROPERTYNAME Filter the result set by source end role', CMD_OPTION_NO_QUALIFIERS_HELP_LINE, CMD_OPTION_INCLUDE_CLASSORIGIN_HELP_LINE, CMD_OPTION_PROPERTYLIST_HELP_LINE, CMD_OPTION_NAMES_ONLY_HELP_LINE, CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_SUMMARY_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] CLASS_TREE_HELP_LINES = [ 'Usage: pywbemcli [GENERAL-OPTIONS] class tree CLASSNAME [COMMAND-OPTIONS]', 'Show the subclass or superclass hierarchy for a class.', '-s, --superclasses Show the superclass hierarchy.', ' -d, --detail Show details about the class: the Version', CMD_OPTION_NAMESPACE_HELP_LINE, CMD_OPTION_HELP_HELP_LINE, ] # pylint: disable=line-too-long CIMFOO_SUB_SUB = """ [Description ( "Subclass of CIM_Foo_sub" )] class CIM_Foo_sub_sub : CIM_Foo_sub { string cimfoo_sub_sub; string cimfoo_sub; [Key ( true ), Description ( "This is key property." )] string InstanceID; [Description ( "This is Uint32 property." )] uint32 IntegerProp; [Description ( "Embedded instance property" ), EmbeddedInstance ( "CIM_FooEmb3" )] string cimfoo_emb3; [Description ( "Sample method with input and output parameters" )] uint32 Method1( [IN ( false ), OUT ( true ), Description ( "Response param 2" )] string OutputParam2); [Description ( "Method with in and out parameters" )] uint32 Fuzzy( [IN ( true ), OUT ( true ), Description ( "Define data to be returned in output parameter" )] string TestInOutParameter, [IN ( true ), OUT ( true ), Description ( "Test of ref in/out parameter" )] CIM_FooRef1 REF TestRef, [IN ( false ), OUT ( true ), Description ( "Rtns method name if exists on input" )] string OutputParam, [IN ( true ), Description ( "Defines return value if provided." )] uint32 OutputRtnValue); [Description ( "Static method with in and out parameters" ), Static ( true )] uint32 FuzzyStatic( [IN ( true ), OUT ( true ), Description ( "Define data to be returned in output parameter" )] string TestInOutParameter, [IN ( true ), OUT ( true ), Description ( "Test of ref in/out parameter" )] CIM_Foo REF TestRef, [IN ( false ), OUT ( true ), Description ( "Rtns method name if exists on input" )] string OutputParam, [IN ( true ), Description ( "Defines return value if provided." )] uint32 OutputRtnValue, [IN ( true ), Description ( "Embedded instance parameter" ), EmbeddedInstance ( "CIM_FooEmb1" )] string cimfoo_emb1); [Description ( "Method with no parameters but embedded instance return" ), EmbeddedInstance ( "CIM_FooEmb2" )] string DeleteNothing(); }; """ # noqa: E501 # pylint: enable=line-too-long CIMFOO_SUB_SUB_NO_QUALS = """ class CIM_Foo_sub_sub : CIM_Foo_sub { string cimfoo_sub_sub; string cimfoo_sub; string InstanceID; uint32 IntegerProp; string cimfoo_emb3; uint32 Method1( string OutputParam2); uint32 Fuzzy( string TestInOutParameter, CIM_FooRef1 REF TestRef, string OutputParam, uint32 OutputRtnValue); uint32 FuzzyStatic( string TestInOutParameter, CIM_Foo REF TestRef, string OutputParam, uint32 OutputRtnValue, string cimfoo_emb1); string DeleteNothing(); }; """ # TODO: This never referenced REFERENCES_CLASS_RTN = [ FAKEURL_STR + '/root/cimv2:TST_Lineage', 'class TST_Lineage {', '', ' string InstanceID;', '', ' TST_Person REF parent;', '', ' TST_Person REF child;', '', '};', '', FAKEURL_STR + '/root/cimv2:TST_MemberOfFamilyCollection', 'class TST_MemberOfFamilyCollection {', '', ' TST_Person REF family;', '', ' TST_Person REF member;', '', '};', ''] # TODO: This never referenced REFERENCES_CLASS_RTN2 = [ FAKEURL_STR + '/root/cimv2:TST_MemberOfFamilyCollection', 'class TST_MemberOfFamilyCollection {', '', ' TST_Person REF family;', '', ' TST_Person REF member;', '', '};', '', ''] REFERENCES_CLASS_RTN_QUALS2 = [ FAKEURL_STR + '/root/cimv2:TST_MemberOfFamilyCollection', ' [Association ( true ),', ' Description ( " Family gathers person to family." )]', 'class TST_MemberOfFamilyCollection {', ' [key ( true )]', ' TST_Person REF family;', ' [key ( true )]', ' TST_Person REF member;', '};'] OK = True # mark tests OK when they execute correctly RUN = True # Mark OK = False and current test case being created RUN FAIL = False # Any test currently FAILING or not tested yet TEST_CASES = [ # List of testcases. # Each testcase is a list with the following items: # * desc: Description of testcase. # * inputs: String, or tuple/list of strings, or dict of 'env', 'args', # 'general', and 'stdin'. See the 'inputs' parameter of # CLITestsBase.command_test() in cli_test_extensions.py for detailed # documentation. # * exp_response: Dictionary of expected responses (stdout, stderr, rc) and # test definition (test: <testname>). See the 'exp_response' parameter # of CLITestsBase.command_test() in cli_test_extensions.py for # detailed documentation. # * mock: None, name of file (.mof or .py), or list thereof. # * condition: If True the test is executed, if 'pdb' the test breaks in the # the debugger, if 'verbose' print verbose messages, if False the test # is skipped. ['Verify class command --help response', ['--help'], {'stdout': CLASS_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command --help command order', ['--help'], {'stdout': r'Commands:' '.*\n enumerate' '.*\n get' '.*\n delete' '.*\n invokemethod' '.*\n references' '.*\n associators' '.*\n find' '.*\n tree', 'test': 'regex'}, None, OK], ['Verify class command -h response', ['-h'], {'stdout': CLASS_HELP_LINES, 'test': 'innows'}, None, OK], # # Enumerate command and its options # ['Verify class command enumerate --help response', ['enumerate', '--help'], {'stdout': CLASS_ENUMERATE_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command enumerate -h response', ['enumerate', '-h'], {'stdout': CLASS_ENUMERATE_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command enumerate CIM_Foo', ['enumerate', 'CIM_Foo'], {'stdout': ['[Description ( "Subclass of CIM_Foo" )]'], 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --lo', ['enumerate', 'CIM_Foo', '--lo'], {'stdout': ' [Description ( "Subclass of CIM_Foo" )]', 'test': 'startswith'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --lo', ['enumerate', 'CIM_Foo', '--local-only'], {'stdout': ' [Description ( "Subclass of CIM_Foo" )]', 'test': 'startswith'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo_sub', ['enumerate', 'CIM_Foo_sub'], {'stdout': CIMFOO_SUB_SUB, 'test': 'linesnows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo local-only', ['enumerate', 'CIM_Foo', '--local-only'], {'stdout': ' [Description ( "Subclass of CIM_Foo" )]', 'test': 'startswith'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo -no-qualifiers', ['enumerate', 'CIM_Foo_sub', '--no-qualifiers'], {'stdout': CIMFOO_SUB_SUB_NO_QUALS, 'test': 'linesnows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --di', ['enumerate', 'CIM_Foo', '--di'], {'stdout': ' [Description ( "Subclass of CIM_Foo" )]', 'test': 'startswith'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --deep-inheritance', ['enumerate', 'CIM_Foo', '--deep-inheritance'], {'stdout': ' [Description ( "Subclass of CIM_Foo" )]', 'test': 'startswith'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --ico', ['enumerate', 'CIM_Foo', '--ico'], {'stdout': ' [Description ( "Subclass of CIM_Foo" )]', 'test': 'startswith'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --include-classorigin', ['enumerate', 'CIM_Foo', '--include-classorigin'], {'stdout': ' [Description ( "Subclass of CIM_Foo" )]', 'test': 'startswith'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --no names only', ['enumerate', 'CIM_Foo', '--no'], {'stdout': ['CIM_Foo', 'CIM_Foo_sub', 'CIM_Foo_sub2'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --names only', ['enumerate', 'CIM_Foo', '--names-only'], {'stdout': ['CIM_Foo', 'CIM_Foo_sub', 'CIM_Foo_sub2'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate --no names only - table', {'args': ['enumerate', '--no'], 'general': ['--output-format', 'table']}, {'stdout': """Classnames: +--------------+ | Class Name | |--------------| | CIM_BaseEmb | | CIM_BaseRef | | CIM_Foo | | CIM_FooAssoc | +--------------+ """, 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --no names only - table', {'args': ['enumerate', 'CIM_Foo', '--no'], 'general': ['--output-format', 'table']}, {'stdout': """Classnames: +--------------+ | Class Name | |--------------| | CIM_Foo_sub | | CIM_Foo_sub2 | +--------------+ """, 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo --names-only', ['enumerate', 'CIM_Foo', '--names-only'], {'stdout': ['CIM_Foo', 'CIM_Foo_sub', 'CIM_Foo_sub2'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo summary table', ['enumerate', 'CIM_Foo', '-s'], {'stdout': ['2 CIMClass(s) returned'], 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo summary, table', ['enumerate', 'CIM_Foo', '--summary'], {'stdout': ['2 CIMClass(s) returned'], 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo summary table output', {'args': ['enumerate', 'CIM_Foo', '--summary'], 'general': ['--output-format', 'table']}, {'stdout': ["""Summary of CIMClass returned +---------+------------+ | Count | CIM Type | |---------+------------| | 2 | CIMClass | +---------+------------+ """], 'test': 'linesnows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo names and --di --no', ['enumerate', 'CIM_Foo', '--di', '--no'], {'stdout': ['CIM_Foo_sub', 'CIM_Foo_sub2', 'CIM_Foo_sub_sub'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo names and --deep-inheritance ' '--names-only', ['enumerate', 'CIM_Foo', '--names-only', '--deep-inheritance'], {'stdout': ['CIM_Foo_sub', 'CIM_Foo_sub2', 'CIM_Foo_sub_sub'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate CIM_Foo include qualifiers', ['enumerate', 'CIM_Foo'], {'stdout': ['Key ( true )', '[Description (', 'class CIM_Foo'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get with xml output format).', {'args': ['enumerate'], 'general': ['--output-format', 'repr']}, {'stdout': [r"CIMClass\(classname='CIM_Foo', superclass=None,", r"'InstanceID': CIMProperty\(name='InstanceID', value=None,"], 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get with repr output format).', {'args': ['enumerate'], 'general': ['--output-format', 'txt']}, {'stdout': ["CIMClass(classname='CIM_BaseEmb', ...)", "CIMClass(classname='CIM_BaseRef', ...)", "CIMClass(classname='CIM_Foo', ...)", "CIMClass(classname='CIM_FooAssoc', ...)"], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate with repr output format).', {'args': ['enumerate'], 'general': ['--output-format', 'xml']}, {'stdout': ['<CLASS( | .+ )NAME="CIM_Foo">', '<PROPERTY( | .+ )NAME="InstanceID"', '<PROPERTY( | .+ )NAME="IntegerProp"', '<METHOD( | .+ )NAME="DeleteNothing"'], 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate --di --no --namespace', ['enumerate', '--di', '--no', '-n', 'interop'], {'stdout': ['CIM_Namespace', 'CIM_ObjectManager'], 'test': 'in'}, SIMPLE_INTEROP_MOCK_FILE, OK], # # Enumerate commands with the filter options # ['Verify class command enumerate with --association filter.', ['enumerate', '--association', '--names-only'], {'stdout': ['TST_Lineage', 'TST_MemberOfFamilyCollection'], 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command enumerate with --association filter --summary.', ['enumerate', '--association', '--summary'], {'stdout': ['2 CIMClass(s) returned'], 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command enumerate with --association filter.', ['enumerate', '--association', '--names-only'], {'stdout': ['TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionDep', 'TST_MemberOfFamilyCollectionExp'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --association filter --summary.', ['enumerate', '--association', '--summary'], {'stdout': ['4 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --association filter and no ' 'qualifiers.', ['enumerate', '--association', '--nq'], {'stdout': ['class TST_Lineage {', 'string InstanceID;', 'TST_Person REF parent;', 'TST_Person REF child;', 'class TST_MemberOfFamilyCollection {', 'TST_Person REF family;', 'TST_Person REF member;', '};'], 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command enumerate with --no-association filter and ' 'no-qualifiers. Tests no qualifiers on parameters', ['enumerate', '--no-association', '--no-qualifiers'], {'stdout': ['class CIM_Foo {', 'string InstanceID;', 'uint32 IntegerProp;', 'string cimfoo_emb3;', 'uint32 Fuzzy(', 'string TestInOutParameter,', 'CIM_FooRef1 REF TestRef,', 'string OutputParam,', 'uint32 OutputRtnValue);', 'uint32 FuzzyStatic(', 'string TestInOutParameter,', 'CIM_Foo REF TestRef,', 'string OutputParam,', 'uint32 OutputRtnValue,', 'string cimfoo_emb1);', 'string DeleteNothing();', '};'], 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate with --no-association filter, simple mod.', ['enumerate', '--no-association', '--names-only'], {'stdout': ['TST_FamilyCollection', 'TST_Person'], 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command enumerate with --no-association, --summary.', ['enumerate', '--no-association', '--summary'], {'stdout': ['2 CIMClass(s) returned'], 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command enumerate with --no-association filter qual filt.', ['enumerate', '--no-association', '--names-only'], {'stdout': ['BLA_Person', 'EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_FamilyCollection', 'TST_Indication', 'TST_IndicationDeprecated', 'TST_IndicationExperimental', 'TST_Person'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-association, --summary.', ['enumerate', '--no-association', '--summary'], {'stdout': ['10 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --indication filter.', ['enumerate', '--indication', '--names-only'], {'stdout': ['TST_Indication', 'TST_IndicationDeprecated', 'TST_IndicationExperimental'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --indication filter --summary.', ['enumerate', '--indication', '--summary'], {'stdout': ['3 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-indication filter.', ['enumerate', '--no-indication', '--names-only'], {'stdout': ['BLA_Person', 'EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_FamilyCollection', 'TST_FamilyCollection', 'TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionExp', 'TST_Person'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-indication filter, --summary.', ['enumerate', '--no-indication', '--summary'], {'stdout': ['11 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimentat filter.', ['enumerate', '--experimental', '--names-only'], {'stdout': ['EXP_TestExperimental1', ' EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_IndicationExperimental', 'TST_MemberOfFamilyCollectionExp'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimentat filter -- summary.', ['enumerate', '--experimental', '--summary'], {'stdout': ['6 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-experimental filter.', ['enumerate', '--no-experimental', '--names-only'], {'stdout': ['BLA_Person', 'TST_FamilyCollection', 'TST_Indication', 'TST_IndicationDeprecated', 'TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionDep', 'TST_Person'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-experimental, --summary.', ['enumerate', '--no-experimental', '--summary'], {'stdout': ['8 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimental, --association.', ['enumerate', '--experimental', '--association', '--names-only'], {'stdout': ['EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_IndicationExperimental', 'TST_MemberOfFamilyCollectionExp'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimental, --association, ' '--summary', ['enumerate', '--experimental', '--association', '--summary'], {'stdout': ['6 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimental , --no-association.', ['enumerate', '--experimental', '--no-association', '--names-only'], {'stdout': ['EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_IndicationExperimental'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --indication and --experimental.', ['enumerate', '--experimental', '--indication', '--names-only'], {'stdout': ['TST_IndicationExperimental'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --indication, --no-experimental.', ['enumerate', '--no-experimental', '--indication', '--names-only'], {'stdout': ['TST_Indication', 'TST_IndicationDeprecated'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-indication, --no-experimental, ' '--no-association', ['enumerate', '--no-experimental', '--no-indication', '--no-association', '--names-only'], {'stdout': ['BLA_Person', 'TST_FamilyCollection', 'TST_Person'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --deprecated, --no-association.', ['enumerate', '--deprecated', '--no-association', '--names-only'], {'stdout': ['TST_IndicationDeprecated', 'TST_MemberOfFamilyCollectionDep'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --deprecated, --no-association, ' '--summary', ['enumerate', '--deprecated', '--no-association', '--summary'], {'stdout': ['2 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-deprecated, --association', ['enumerate', '--no-deprecated', '--association', '--names-only'], {'stdout': ['BLA_Person', 'EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_FamilyCollection', 'TST_Indication', 'TST_IndicationExperimental', 'TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionExp', 'TST_Person'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --no-deprecated, --no-association' '--summary', ['enumerate', '--no-deprecated', '--association', '--summary'], {'stdout': ['12 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimental, --since 2.42.0.', ['enumerate', '--experimental', '--since', '2.42.0', '--names-only'], {'stdout': ['TST_IndicationExperimental'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimental and --since 2.42.0' '--summary', ['enumerate', '--experimental', '--since', '2.42.0', '--summary'], {'stdout': ['3 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimental and --since 2.45.0.', ['enumerate', '--experimental', '--since', '2.45.0', '--names-only'], {'stdout': [], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --experimental and --since 2.45.x.', ['enumerate', '--experimental', '--since', '2.45.x', '--names-only'], {'stderr': ['--since option value invalid. ', 'Must contain 3 integer elements', '2.45.x'], 'rc': 1, 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --indication and --since 2.45.', ['enumerate', '--experimental', '--since', '2.45', '--names-only'], {'stderr': ['Version value must contain 3 integer elements (int.int.int)', '2.45'], 'rc': 1, 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "TST".', ['enumerate', '--schema', 'TST', '--names-only'], {'stdout': ['TST_FamilyCollection', 'TST_Indication', 'TST_IndicationDeprecated', 'TST_IndicationExperimental', 'TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionDep', 'TST_MemberOfFamilyCollectionExp', 'TST_Person', ], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "BLA".', ['enumerate', '--schema', 'BLA', '--names-only'], {'stdout': ['BLA_Person', ], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "EXP".', ['enumerate', '--schema', 'EXP', '--names-only'], {'stdout': ['EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "EXP" --summary', ['enumerate', '--schema', 'EXP', '--summary'], {'stdout': ['4 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "EXP" and --experimental.', ['enumerate', '--schema', 'EXP', '--experimental', '--names-only'], {'stdout': ['EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "EXP" and --experimental.', ['enumerate', '--schema', 'EXP', '--experimental', '--summary'], {'stdout': ['4 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "EXP",--experimental, ' '--summary.', ['enumerate', '--schema', 'EXP', '--experimental', '--summary'], {'stdout': ['4 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "EXP" , --no-experimental.', ['enumerate', '--schema', 'EXP', '--no-experimental', '--names-only'], {'stdout': [], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "EXP" , --no-experimental ' '--summary', ['enumerate', '--schema', 'EXP', '--no-experimental', '--summary'], {'stdout': ['0 objects returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --schema "NOT_EXIST".', ['enumerate', '--schema', 'NOT_EXIST', '--names-only'], {'stdout': [], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --subclass-of TST_Person.', ['enumerate', '--subclass-of', 'TST_Person', '--di', '--names-only'], {'stdout': ['TST_PersonClsDep', 'TST_PersonDep', 'TST_PersonExp', 'TST_PersonExpProperty', 'TST_PersonPropDep', 'TST_PersonSub'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --subclass-of TST_Person --summary.', ['enumerate', '--subclass-of', 'TST_Person', '--di', '--summary'], {'stdout': ['6 CIMClass(s) returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --subclass-of TST_Person ' '-- association--summary .', ['enumerate', '--association', '--subclass-of', 'TST_Person', '--di', '--summary'], {'stdout': ['0 objects returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --subclass-of TST_PersonDep.', ['enumerate', '--subclass-of', 'TST_PersonDep', '--di', '--names-only'], {'stdout': [], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --subclass-of TST_PersonDep ' '--summary.', ['enumerate', '--subclass-of', 'TST_PersonDep', '--di', '--summary'], {'stdout': ['0 objects returned'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --subclass-of NOT_EXIST excepts.', ['enumerate', '--subclass-of', 'NOT_EXIST', '--names-only'], {'stderr': ['Classname NOT_EXIST for "subclass-of" not found'], 'rc': 1, 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify instance command enumerate CIM_Foo_sub2, w --verbose rtns msg.', {'args': ['enumerate', 'CIM_Foo_sub2'], 'general': ['--verbose']}, {'stdout': 'No objects returned', 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], # # Enumerate errors # ['Verify class command enumerate nonexistent class name', ['enumerate', 'CIM_FClassDoesNotExist'], {'stderr': ['CIMError', 'CIM_ERR_INVALID_CLASS'], 'rc': 1, 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate table output fails).', {'args': ['enumerate'], 'general': ['--output-format', 'table']}, {'stderr': ['Output format "table"', 'not allowed', 'Only CIM formats:'], 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], # # Test class get # ['Verify class command get --help response', ['get', '--help'], {'stdout': CLASS_GET_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command get -h response', ['get', '-h'], {'stdout': CLASS_GET_HELP_LINES, 'test': 'innows'}, None, OK], # command get local-only option ['Verify class command get not local-only. Tests for property names', ['get', 'CIM_Foo_sub2'], {'stdout': ['string cimfoo_sub2;', 'InstanceID', 'IntegerProp', 'Fuzzy', 'Key ( true )', 'IN ( false )'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get local-only(--lo)).', ['get', 'CIM_Foo_sub2', '--lo'], {'stdout': ['class CIM_Foo_sub2 : CIM_Foo {', '', ' string cimfoo_sub2;', '', '};', ''], 'test': 'patterns'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get local-only. Tests whole response', ['get', 'CIM_Foo_sub2', '--local-only'], {'stdout': ['class CIM_Foo_sub2 : CIM_Foo {', '', ' string cimfoo_sub2;', '', '};', ''], 'test': 'patterns'}, SIMPLE_MOCK_FILE, OK], # includequalifiers. Test the flag that excludes qualifiers ['Verify class command get without qualifiers. Tests whole response', ['get', 'CIM_Foo_sub2', '--nq'], {'stdout': ['class CIM_Foo_sub2 : CIM_Foo {', '', ' string cimfoo_sub2;', '', ' string InstanceID;', '', ' uint32 IntegerProp;', '', ' string cimfoo_emb3;', '', ' uint32 Fuzzy(', ' string TestInOutParameter,', ' CIM_FooRef1 REF TestRef,', ' string OutputParam,', ' uint32 OutputRtnValue);', '', ' uint32 FuzzyStatic(', ' string TestInOutParameter,', ' CIM_Foo REF TestRef,', ' string OutputParam,', ' uint32 OutputRtnValue,', ' string cimfoo_emb1);', '', ' string DeleteNothing();', '', '};', ''], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get without qualifiers. Tests whole response', ['get', 'CIM_Foo_sub2', '--no-qualifiers'], {'stdout': ['class CIM_Foo_sub2 : CIM_Foo {', '', ' string cimfoo_sub2;', '', ' string InstanceID;', '', ' uint32 IntegerProp;', '', ' string cimfoo_emb3;', '', ' uint32 Fuzzy(', ' string TestInOutParameter,', ' CIM_FooRef1 REF TestRef,', ' string OutputParam,', ' uint32 OutputRtnValue);', '', ' uint32 FuzzyStatic(', ' string TestInOutParameter,', ' CIM_Foo REF TestRef,', ' string OutputParam,', ' uint32 OutputRtnValue,', ' string cimfoo_emb1);', '', ' string DeleteNothing();', '', '};', ''], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], # pylint: disable=line-too-long ['Verify class command get with propertylist. Tests whole response', ['get', 'CIM_Foo_sub2', '--pl', 'InstanceID'], {'stdout': ['class CIM_Foo_sub2 : CIM_Foo {', '', ' [Key ( true ),', ' Description ( "This is key property." )]', ' string InstanceID;', '', ' [Description ( "Method with in and out parameters" )]', ' uint32 Fuzzy(', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Define data to be returned in output parameter" )]', # noqa: E501 ' string TestInOutParameter,', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Test of ref in/out parameter" )]', ' CIM_FooRef1 REF TestRef,', ' [IN ( false ),', ' OUT ( true ),', ' Description ( "Rtns method name if exists on input" )]', # noqa: E501 ' string OutputParam,', ' [IN ( true ),', ' Description ( "Defines return value if provided." )]', # noqa: E501 ' uint32 OutputRtnValue);', '', ' [Description ( "Static method with in and out parameters" ),', # noqa: E501 ' Static ( true )]', ' uint32 FuzzyStatic(', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Define data to be returned in output parameter" )]', # noqa: E501 ' string TestInOutParameter,', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Test of ref in/out parameter" )]', ' CIM_Foo REF TestRef,', ' [IN ( false ),', ' OUT ( true ),', ' Description ( "Rtns method name if exists on input" )]', # noqa: E501 ' string OutputParam,', ' [IN ( true ),', ' Description ( "Defines return value if provided." )]', # noqa: E501 ' uint32 OutputRtnValue,', ' [IN ( true ),', ' Description ( "Embedded instance parameter" ),', ' EmbeddedInstance ( "CIM_FooEmb1" )]', ' string cimfoo_emb1);', '', ' [Description ( "Method with no parameters but embedded instance return" ),', # noqa: E501 ' EmbeddedInstance ( "CIM_FooEmb2" )]', ' string DeleteNothing();', '', '};', ''], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get with empty propertylist. Tests whole ' 'response', ['get', 'CIM_Foo_sub2', '--pl', '""'], {'stdout': ['class CIM_Foo_sub2 : CIM_Foo {', '', ' [Description ( "Method with in and out parameters" )]', ' uint32 Fuzzy(', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Define data to be returned in output parameter" )]', # noqa: E501 ' string TestInOutParameter,', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Test of ref in/out parameter" )]', ' CIM_FooRef1 REF TestRef,', ' [IN ( false ),', ' OUT ( true ),', ' Description ( "Rtns method name if exists on input" )]', # noqa: E501 ' string OutputParam,', ' [IN ( true ),', ' Description ( "Defines return value if provided." )]', # noqa: E501 ' uint32 OutputRtnValue);', '', ' [Description ( "Static method with in and out parameters" ),', # noqa: E501 ' Static ( true )]', ' uint32 FuzzyStatic(', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Define data to be returned in output parameter" )]', # noqa: E501 ' string TestInOutParameter,', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Test of ref in/out parameter" )]', ' CIM_Foo REF TestRef,', ' [IN ( false ),', ' OUT ( true ),', ' Description ( "Rtns method name if exists on input" )]', # noqa: E501 ' string OutputParam,', ' [IN ( true ),', ' Description ( "Defines return value if provided." )]', # noqa: E501 ' uint32 OutputRtnValue,', ' [IN ( true ),', ' Description ( "Embedded instance parameter" ),', ' EmbeddedInstance ( "CIM_FooEmb1" )]', ' string cimfoo_emb1);', '', ' [Description ( "Method with no parameters but embedded instance return" ),', # noqa: E501 ' EmbeddedInstance ( "CIM_FooEmb2" )]', ' string DeleteNothing();', '', '};', ''], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], # pylint: enable=line-too-long ['Verify class command get with xml output format).', {'args': ['get', 'CIM_Foo'], 'general': ['--output-format', 'repr']}, {'stdout': [r"CIMClass\(classname='CIM_Foo', superclass=None,", r"'InstanceID': CIMProperty\(name='InstanceID', value=None,"], 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get with repr output format).', {'args': ['get', 'CIM_Foo'], 'general': ['--output-format', 'txt']}, {'stdout': ["CIMClass(classname='CIM_Foo', ...)"], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get with repr output format).', {'args': ['get', 'CIM_Foo'], 'general': ['--output-format', 'xml']}, {'stdout': ['<CLASS( | .+ )NAME="CIM_Foo">', '<PROPERTY( | .+ )NAME="InstanceID"', '<PROPERTY( | .+ )NAME="IntegerProp"', '<METHOD( | .+ )NAME="DeleteNothing"'], 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], # pylint: disable=line-too-long ['Verify class command get with propertylist and classorigin,', ['get', 'CIM_Foo_sub2', '--pl', 'InstanceID', '--ico'], {'stdout': ['class CIM_Foo_sub2 : CIM_Foo {', ' [Key ( true ),', ' Description ( "This is key property." )]', ' string InstanceID;', ' [Description ( "Method with in and out parameters" )]', ' uint32 Fuzzy(', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Define data to be returned in ' 'output parameter" )]', ' string TestInOutParameter,', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Test of ref in/out parameter" )]', ' CIM_FooRef1 REF TestRef,', ' [IN ( false ),', ' OUT ( true ),', ' Description ( "Rtns method name if exists on ' 'input" )]', ' string OutputParam,', ' [IN ( true ),', ' Description ( "Defines return value if ' 'provided." )]', ' uint32 OutputRtnValue);', ' [Description ( "Static method with in and out ' 'parameters" ),', ' Static ( true )]', ' uint32 FuzzyStatic(', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Define data to be returned in ' 'output parameter" )]', ' string TestInOutParameter,', ' [IN ( true ),', ' OUT ( true ),', ' Description ( "Test of ref in/out parameter" )]', ' CIM_Foo REF TestRef,', ' [IN ( false ),', ' OUT ( true ),', ' Description ( "Rtns method name if exists on ' 'input" )]', ' string OutputParam,', ' [IN ( true ),', ' Description ( "Defines return value if ' 'provided." )]', ' uint32 OutputRtnValue,', ' [IN ( true ),', ' Description ( "Embedded instance parameter" ),', ' EmbeddedInstance ( "CIM_FooEmb1" )]', ' string cimfoo_emb1);', ' [Description ( "Method with no parameters but embedded instance return" ),', # noqa: E501 ' EmbeddedInstance ( "CIM_FooEmb2" )]', ' string DeleteNothing();', '};', ''], 'test': 'linesnows'}, SIMPLE_MOCK_FILE, OK], # pylint: enable=line-too-long ['Verify class command enumerate --di --no --namespace', ['get', 'CIM_Namespace', '-n', 'interop'], {'stdout': ['class CIM_Namespace', 'string ObjectManagerCreationClassName;'], 'test': 'innows'}, SIMPLE_INTEROP_MOCK_FILE, OK], # get command errors ['Verify class command get invalid classname', ['get', 'CIM_Argh'], {'stderr': ['CIMError', 'CIM_ERR_NOT_FOUND', '6'], 'rc': 1, 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command get invalid namespace', ['get', 'CIM_Foo', '--namespace', 'Argh'], {'stderr': ['CIMError', 'CIM_ERR_INVALID_NAMESPACE', '3'], 'rc': 1, 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command enumerate table output fails).', {'args': ['get', 'CIM_Foo'], 'general': ['--output-format', 'table']}, {'stderr': ['Output format "table" ', 'not allowed', 'Only CIM formats:'], 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], # # find command # ['Verify class command find --help response', ['find', '--help'], {'stdout': CLASS_FIND_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command find -h response', ['find', '-h'], {'stdout': CLASS_FIND_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command find simple name in all namespaces', ['find', 'CIM_*'], {'stdout': [" root/cimv2: CIM_Foo", " root/cimv2: CIM_Foo_sub", " root/cimv2: CIM_Foo_sub2", " root/cimv2: CIM_Foo_sub_sub"], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command find simple name in all namespaces wo case', ['find', 'cim_*'], {'stdout': [" root/cimv2: CIM_Foo", " root/cimv2: CIM_Foo_sub", " root/cimv2: CIM_Foo_sub2", " root/cimv2: CIM_Foo_sub_sub"], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command find simple name in all namespaces lead wc', ['find', '*sub_sub*'], {'stdout': [" root/cimv2: CIM_Foo_sub_sub"], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command find simple name in all namespaces wo case', ['find', '*sub_su?*'], {'stdout': [" root/cimv2: CIM_Foo_sub_sub"], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command find simple name in known namespace', ['find', 'CIM_*', '-n', 'root/cimv2'], {'stdout': [" root/cimv2: CIM_BaseEmb", " root/cimv2: CIM_BaseRef", " root/cimv2: CIM_Foo", " root/cimv2: CIM_FooAssoc", " root/cimv2: CIM_FooEmb1", " root/cimv2: CIM_FooEmb2", " root/cimv2: CIM_FooEmb3", " root/cimv2: CIM_FooRef1", " root/cimv2: CIM_FooRef2", " root/cimv2: CIM_Foo_sub", " root/cimv2: CIM_Foo_sub2", " root/cimv2: CIM_Foo_sub_sub"], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command find simple name in interop namespace', ['find', 'CIM_*'], {'stdout': [" interop: CIM_Namespace", " interop: CIM_ObjectManager"], 'test': 'in'}, SIMPLE_INTEROP_MOCK_FILE, OK], ['Verify class command find name in known namespace -o grid', {'general': ['-o', 'grid'], 'args': ['find', 'CIM_*', '-n', 'root/cimv2']}, {'stdout': ['Find class CIM_*', '+-------------+-----------------+', '| Namespace | Classname |', '+=============+=================+', '| root/cimv2 | CIM_BaseEmb |', '+-------------+-----------------+', '| root/cimv2 | CIM_BaseRef |', '+-------------+-----------------+', '| root/cimv2 | CIM_Foo |', '+-------------+-----------------+', '| root/cimv2 | CIM_FooAssoc |', '+-------------+-----------------+', '| root/cimv2 | CIM_FooEmb1 |', '+-------------+-----------------+', '| root/cimv2 | CIM_FooEmb2 |', '+-------------+-----------------+', '| root/cimv2 | CIM_FooEmb3 |', '+-------------+-----------------+', '| root/cimv2 | CIM_FooRef1 |', '+-------------+-----------------+', '| root/cimv2 | CIM_FooRef2 |', '+-------------+-----------------+', '| root/cimv2 | CIM_Foo_sub |', '+-------------+-----------------+', '| root/cimv2 | CIM_Foo_sub2 |', '+-------------+-----------------+', '| root/cimv2 | CIM_Foo_sub_sub |', '+-------------+-----------------+'], 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command verify nothing found for BLAH_ regex', ['find', 'BLAH_*', '-n', 'root/cimv2'], {'stdout': "", 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command find simple name in known namespace with wildcard', ['find', '*sub2', '-n', 'root/cimv2'], {'stdout': " root/cimv2: CIM_Foo_sub2", 'test': 'lines'}, SIMPLE_MOCK_FILE, OK], ['Verify class command find with --association filter', ['find', '*TST_*', '-n', 'root/cimv2', '--association'], {'stdout': ['TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionExp'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --indication filter', ['find', '*TST_*', '-n', 'root/cimv2', '--indication'], {'stdout': ['TST_Indication', 'root/cimv2:TST_IndicationExperimental'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --indication & -no-experimental filters', ['find', '*TST_*', '-n', 'root/cimv2', '--indication', '--no-experimental'], {'stdout': ['TST_Indication'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --association & --experimental filters', ['find', '*TST_*', '-n', 'root/cimv2', '--association', '--experimental'], {'stdout': ['TST_MemberOfFamilyCollectionExp'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --no-association & --no-experimental, ' 'filters', ['find', 'TST_*', '-n', 'root/cimv2', '--no-association', '--no-experimental', '--no-indication'], {'stdout': ['root/cimv2: TST_FamilyCollection', 'root/cimv2: TST_Person', 'root/cimv2: TST_PersonClsDep', 'root/cimv2: TST_PersonDep', 'root/cimv2: TST_PersonPropDep', 'root/cimv2: TST_PersonSub'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --no-association & --deprecated, ', ['find', 'TST_*', '-n', 'root/cimv2', '--no-association', '--deprecated'], {'stdout': ['root/cimv2: TST_IndicationDeprecated', 'root/cimv2: TST_PersonClsDep', 'root/cimv2: TST_PersonDep', 'root/cimv2: TST_PersonExpProperty', 'root/cimv2: TST_PersonPropDep'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --experimental and --since 2.42.0.', ['find', "*", '--experimental', '--since', '2.42.0'], {'stdout': ['TST_IndicationExperimental'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --experimental and --since 2.45.0.', ['find', "*", '--experimental', '--since', '2.45.0'], {'stdout': [], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --experimental and --since 2.45.x.', ['find', "*", '--experimental', '--since', '2.45.x'], {'stderr': ['--since option value invalid. ', 'Must contain 3 integer elements', '2.45.x'], 'rc': 1, 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --schema "BLA".', ['find', '*', '--schema', 'BLA'], {'stdout': ['BLA_Person', ], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --schema "EXP".', ['find', '*', '--schema', 'EXP'], {'stdout': ['EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --schema "EXP". test not-innows', ['find', '*', '--schema', 'EXP'], {'stdout': ['BLA_Person', 'TST_FamilyCollection', 'TST_Indication', 'TST_IndicationDeprecated', 'TST_IndicationExperimental', 'TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionDep', 'TST_MemberOfFamilyCollectionExp', 'TST_Person', 'TST_PersonClsDep', 'TST_PersonDep', 'TST_PersonExp', 'TST_PersonExpProperty', 'TST_PersonPropDep', 'TST_PersonSub'], 'test': 'not-innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --schema "EXP" and --experimental.', ['find', '*', '--schema', 'EXP', '--experimental'], {'stdout': ['EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --subclass-of.', ['find', '*', '--subclass-of', 'TST_Person'], {'stdout': ['root/cimv2: TST_PersonClsDep', 'root/cimv2: TST_PersonDep', 'root/cimv2: TST_PersonExp', 'root/cimv2: TST_PersonExpProperty', 'root/cimv2: TST_PersonPropDep', 'root/cimv2: TST_PersonSub'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command find with --subclass-of.', ['find', '*Sub', '--subclass-of', 'TST_Person'], {'stdout': ['root/cimv2: TST_PersonSub'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], # Tests with --leaf-classes ['Verify class command enumerate with --leaf-classes. test innows', ['enumerate', '--di', '--no', '--leaf-classes'], {'stdout': ['BLA_Person', 'EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_FamilyCollection', 'TST_Indication', 'TST_IndicationDeprecated', 'TST_IndicationExperimental', 'TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionDep', 'TST_MemberOfFamilyCollectionExp', 'TST_PersonClsDep', 'TST_PersonDep', 'TST_PersonExp', 'TST_PersonExpProperty', 'TST_PersonPropDep', 'TST_PersonSub'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --leaf-classes. test not-innows', ['enumerate', '--di', '--no', '--leaf-classes'], {'stdout': ['TST_Person'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --leaf-classes & --subclass-of', ['enumerate', '--di', '--no', '--leaf-classes', '--subclass-of', 'TST_Person'], {'stdout': ['TST_PersonClsDep', 'TST_PersonDep', 'TST_PersonExp' 'TST_PersonExpProperty', 'TST_PersonPropDep', 'TST_PersonSub'], 'test': 'innows'}, QUALIFIER_FILTER_MODEL, OK], ['Verify class command enumerate with --leaf-classes & --subclass-of, ' 'not-innows', ['enumerate', '--di', '--no', '--leaf-classes', '--subclass-of', 'TST_Person'], {'stdout': ['BLA_Person', 'EXP_TestExperimental1', 'EXP_TestExperimental2', 'EXP_TestExperimental3', 'EXP_TestExperimental4', 'TST_FamilyCollection', 'TST_Indication', 'TST_IndicationDeprecated', 'TST_IndicationExperimental', 'TST_Lineage', 'TST_MemberOfFamilyCollection', 'TST_MemberOfFamilyCollectionDep', 'TST_MemberOfFamilyCollectionExp'], 'test': 'not-innows'}, QUALIFIER_FILTER_MODEL, OK], # # command "class delete" # ['Verify class command delete --help response', ['delete', '--help'], {'stdout': CLASS_DELETE_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command delete -h response', ['delete', '-h'], {'stdout': CLASS_DELETE_HELP_LINES, 'test': 'innows'}, None, OK], # Class delete successful ['Verify class command delete successful with no subclasses, ' '--force (deprecated)', {'args': ['delete', 'CIM_Foo_sub_sub', '--force'], 'general': ['--warn']}, {'stderr': ['DeprecationWarning: The --force / -f option has been ' 'deprecated'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete successful with no subclasses, ' '-f (deprecated)', {'args': ['delete', 'CIM_Foo_sub_sub', '-f'], 'general': ['--warn']}, {'stderr': ['DeprecationWarning: The --force / -f option has been ' 'deprecated'], 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete successful with no subclasses, ' '--include-instances', ['delete', 'CIM_Foo_sub_sub', '--include-instances'], {'stdout': ['Deleted instance root/cimv2:CIM_Foo_sub_sub.', 'Deleted class CIM_Foo_sub_sub'], 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete successful with no subclasses, --namespace ' 'and --include-instances', ['delete', 'CIM_Foo_sub_sub', '--namespace', 'root/cimv2', '--include-instances'], {'stdout': ['Deleted instance root/cimv2:CIM_Foo_sub_sub.', 'Deleted class CIM_Foo_sub_sub'], 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete (interactive) successful with no subclasses, ' '--include-instances, --dry-run', {'stdin': ['class delete CIM_Foo_sub_sub --include-instances --dry-run', 'class get CIM_Foo_sub_sub', 'instance count CIM_Foo_sub_sub']}, {'stdout': ['Dry run: Deleted instance root/cimv2:CIM_Foo_sub_sub.' 'InstanceID="CIM_Foo_sub_sub1"', 'Dry run: Deleted class CIM_Foo_sub_sub', 'class CIM_Foo_sub_sub : CIM_Foo_sub {', 'root/cimv2 CIM_Foo_sub_sub 3'], 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], # Class delete errors ['Verify class command delete no classname', ['delete'], {'stderr': ['Error: Missing argument .CLASSNAME.'], 'rc': 2, 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete nonexistent classname fails', ['delete', 'Argh'], {'stderr': ['CIMError', 'CIM_ERR_INVALID_CLASS', '5'], 'rc': 1, 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail instances exist', ['delete', 'CIM_Foo_sub_sub'], {'stderr': 'Cannot delete class CIM_Foo_sub_sub because it has ' '3 instances', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail subclasses exist', ['delete', 'CIM_Foo'], {'stderr': 'Cannot delete class CIM_Foo because it has 12 instances', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail subclasses exist, --include-instances', ['delete', 'CIM_Foo', '--include-instances'], {'stderr': 'Cannot delete class CIM_Foo because these classes depend on ' 'it: CIM_Foo_sub, CIM_Foo_sub2', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail referencing class CIM_FooRef1 exist', ['delete', 'CIM_FooRef1'], {'stderr': 'Cannot delete class CIM_FooRef1 because it has 1 instances', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail referencing class CIM_FooRef1 exist, ' '--include-instances', ['delete', 'CIM_FooRef1', '--include-instances'], {'stderr': 'Cannot delete class CIM_FooRef1 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail referencing class CIM_FooRef2 exist', ['delete', 'CIM_FooRef2'], {'stderr': 'Cannot delete class CIM_FooRef2 because it has 1 instances', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail referencing class CIM_FooRef2 exist, ' '--include-instances', ['delete', 'CIM_FooRef2', '--include-instances'], {'stderr': 'Cannot delete class CIM_FooRef2 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail referencing class CIM_FooAssoc exist', ['delete', 'CIM_FooAssoc'], {'stderr': 'Cannot delete class CIM_FooAssoc because it has 1 instances', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete succesd for referencing class CIM_FooAssoc, ' '--include-instances', ['delete', 'CIM_FooAssoc', '--include-instances'], {'stdout': '', 'test': 'in'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail embedding class CIM_FooEmb1 exist', ['delete', 'CIM_FooEmb1'], {'stderr': 'Cannot delete class CIM_FooEmb1 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail embedding class CIM_FooEmb1 exist, ' '--include-instances', ['delete', 'CIM_FooEmb1', '--include-instances'], {'stderr': 'Cannot delete class CIM_FooEmb1 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail embedding class CIM_FooEmb2 exist', ['delete', 'CIM_FooEmb2'], {'stderr': 'Cannot delete class CIM_FooEmb2 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail embedding class CIM_FooEmb2 exist, ' '--include-instances', ['delete', 'CIM_FooEmb2', '--include-instances'], {'stderr': 'Cannot delete class CIM_FooEmb2 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail embedding class CIM_FooEmb3 exist', ['delete', 'CIM_FooEmb3'], {'stderr': 'Cannot delete class CIM_FooEmb3 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fail embedding class CIM_FooEmb3 exist, ' '--include-instances', ['delete', 'CIM_FooEmb3', '--include-instances'], {'stderr': 'Cannot delete class CIM_FooEmb3 because these classes depend ' 'on it: CIM_Foo', 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command delete fails if instance provider rejects delete', {'args': ['delete', 'CIM_Foo_sub_sub', '--include-instances']}, {'stderr': ['CIM_ERR_FAILED', 'Deletion of CIM_Foo_sub_sub instances is rejected'], 'rc': 1, 'test': 'innows'}, [SIMPLE_MOCK_FILE, 'reject_deleteinstance_provider.py'], MOCK_SETUP_SUPPORTED], ['Verify class command delete using --namespace interop fails because of ' 'instances', ['delete', 'CIM_ObjectManager', '-n', 'interop'], {'stderr': ['Cannot delete class', 'instances'], 'rc': 1, 'test': 'innows'}, SIMPLE_INTEROP_MOCK_FILE, OK], # # command "class tree" # ['Verify class command tree --help response', ['tree', '--help'], {'stdout': CLASS_TREE_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command tree -h response', ['tree', '-h'], {'stdout': CLASS_TREE_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command tree top down. Uses simple mock, no argument', ['tree'], {'stdout': """root +-- CIM_BaseEmb | +-- CIM_FooEmb1 | +-- CIM_FooEmb2 | +-- CIM_FooEmb3 +-- CIM_BaseRef | +-- CIM_FooRef1 | +-- CIM_FooRef2 +-- CIM_Foo | +-- CIM_Foo_sub | | +-- CIM_Foo_sub_sub | +-- CIM_Foo_sub2 +-- CIM_FooAssoc """, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command tree top down starting at defined class ', ['tree', 'CIM_Foo_sub'], {'stdout': """CIM_Foo_sub +-- CIM_Foo_sub_sub """, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command tree top down starting at leaf class', ['tree', 'CIM_Foo_sub'], {'stdout': """CIM_Foo_sub_sub """, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command tree bottom up. -s', ['tree', '-s', 'CIM_Foo_sub_sub'], {'stdout': """root +-- CIM_Foo +-- CIM_Foo_sub +-- CIM_Foo_sub_sub """, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command tree -s from top class', ['tree', '-s', 'CIM_Foo'], {'stdout': """root +-- CIM_Foo """, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command tree bottom up. --superclasses', ['tree', '--superclasses', 'CIM_Foo_sub_sub'], {'stdout': """root +-- CIM_Foo +-- CIM_Foo_sub +-- CIM_Foo_sub_sub """, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify class command tree with --detail', ['tree', '--detail'], {'stdout': """root +-- CIM_Foo (Version=2.30.0) | +-- CIM_Foo_sub (Version=2.31.0) | +-- CIM_Foo_sub_sub (Version=2.20.1) +-- CIM_Foo_no_version () +-- CIM_Indication (Abstract,Indication,Version=2.24.0) +-- CIM_Indication_no_version (Abstract,Indication) +-- TST_Lineage (Association,Version=2.20.1) +-- TST_Lineage_no_version (Association) """, 'test': 'innows'}, TREE_TEST_MOCK_FILE, OK], # class tree' error tests ['Verify class command tree with invalid CLASSNAME fails', ['tree', '-s', 'CIM_Foo_subx'], {'stderr': ['CIMError:'], 'rc': 1, 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], ['Verify class command tree with superclass option, CLASSNAME fails', ['tree', '-s'], {'stderr': ['Error: CLASSNAME argument required for --superclasses ' 'option'], 'rc': 1, 'test': 'regex'}, SIMPLE_MOCK_FILE, OK], # # associators command tests # # ['Verify class command associators --help response', ['associators', '--help'], {'stdout': CLASS_ASSOCIATORS_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command associators -h response', ['associators', '-h'], {'stdout': CLASS_ASSOCIATORS_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command associators simple request,', ['associators', 'TST_Person'], {'stdout': [FAKEURL_STR + '/root/cimv2:TST_Person', 'class TST_Person {', '', ' [Key ( true ),', ' Description ( "This is key prop" )]', ' string name;', '', ' string extraProperty = "defaultvalue";', '', ' [ValueMap { "1", "2" },', ' Values { "female", "male" }]', ' uint16 gender;', '', ' [ValueMap { "1", "2" },', ' Values { "books", "movies" }]', ' uint16 likes[];', '', '};', ''], 'test': 'lines'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command associators simple request names only,', ['associators', 'TST_Person', '--names-only'], {'stdout': [FAKEURL_STR + '/root/cimv2:TST_Person'], 'test': 'lines'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command associators simple request, one parameter', ['associators', 'TST_Person', '--ac', 'TST_MemberOfFamilyCollection'], {'stdout': [FAKEURL_STR + '/root/cimv2:TST_Person', 'class TST_Person {', '', ' [Key ( true ),', ' Description ( "This is key prop" )]', ' string name;', '', ' string extraProperty = "defaultvalue";', '', ' [ValueMap { "1", "2" },', ' Values { "female", "male" }]', ' uint16 gender;', '', ' [ValueMap { "1", "2" },', ' Values { "books", "movies" }]', ' uint16 likes[];', '', '};', ''], 'test': 'lines'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command associators request, all filters long', ['associators', 'TST_Person', '--assoc-class', 'TST_MemberOfFamilyCollection', '--role', 'member', '--result-role', 'family', '--result-class', 'TST_Person'], {'stdout': [FAKEURL_STR + '/root/cimv2:TST_Person', 'class TST_Person {', '', ' [Key ( true ),', ' Description ( "This is key prop" )]', ' string name;', '', ' string extraProperty = "defaultvalue";', '', ' [ValueMap { "1", "2" },', ' Values { "female", "male" }]', ' uint16 gender;', '', ' [ValueMap { "1", "2" },', ' Values { "books", "movies" }]', ' uint16 likes[];', '', '};', ''], 'test': 'lines'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command associators request, all filters short', ['associators', 'TST_Person', '--ac', 'TST_MemberOfFamilyCollection', '-r', 'member', '--rr', 'family', '--rc', 'TST_Person'], {'stdout': [FAKEURL_STR + '/root/cimv2:TST_Person', 'class TST_Person {', '', ' [Key ( true ),', ' Description ( "This is key prop" )]', ' string name;', '', ' string extraProperty = "defaultvalue";', '', ' [ValueMap { "1", "2" },', ' Values { "female", "male" }]', ' uint16 gender;', '', ' [ValueMap { "1", "2" },', ' Values { "books", "movies" }]', ' uint16 likes[];', '', '};', ''], 'test': 'lines'}, SIMPLE_ASSOC_MOCK_FILE, OK], # Behavior changed pywbem 0.15.0 to exception rtn ['Verify class command associators request, all filters short, -ac ' 'not valid class', ['associators', 'TST_Person', '--ac', 'TST_MemberOfFamilyCollectionx', '-r', 'member', '--rr', 'family', '--rc', 'TST_Person'], {'stderr': ['CIM_ERR_INVALID_PARAMETER'], 'rc': 1, 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], # Behavior changed pywbem 0.15.0 to exception rtn ['Verify class command associators request, all filters short, -r ' 'not valid role', ['associators', 'TST_Person', '--ac', 'TST_MemberOfFamilyCollection', '-r', 'memberx', '--rr', 'family', '--rc', 'TST_Person'], {'stdout': [], 'test': 'lines'}, SIMPLE_ASSOC_MOCK_FILE, OK], # Behavior changed pywbem 0.15.0 to exception rtn ['Verify class command associators request, all filters short, --rc ' 'does not valid class', ['associators', 'TST_Person', '--ac', 'TST_MemberOfFamilyCollection', '-r', 'member', '--rr', 'family', '--rc', 'TST_Personx'], {'stderr': ['CIM_ERR_INVALID_PARAMETER'], 'rc': 1, 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], # Behavior changed pywbem 0.15.0 to exception rtn ['Verify class command associators request, all filters long ' 'does not pass test', ['associators', 'TST_Person', '--assoc-class', 'TST_MemberOfFamilyCollection', '--role', 'member', '--result-role', 'family', '--result-class', 'TST_Personx'], {'stderr': ['CIM_ERR_INVALID_PARAMETER'], 'rc': 1, 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], # Associator errors ['Verify class command associators no CLASSNAME', ['associators'], {'stderr': ['Error: Missing argument .CLASSNAME.'], 'rc': 2, 'test': 'regex'}, None, OK], # Behavior changed pywbem 0.15.0 to exception rtn ['Verify class command associators non-existent CLASSNAME rtns error', ['associators', 'CIM_Nonexistentclass'], {'stderr': ["CIM_ERR_INVALID_PARAMETER"], 'rc': 1, 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command associators non-existent namespace fails', ['associators', 'TST_Person', '--namespace', 'blah'], {'stderr': ['CIMError', 'CIM_ERR_INVALID_NAMESPACE'], 'rc': 1, 'test': 'regex'}, SIMPLE_ASSOC_MOCK_FILE, OK], # # references command tests # ['Verify class command references --help response', ['references', '--help'], {'stdout': CLASS_REFERENCES_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command references -h response', ['references', '-h'], {'stdout': CLASS_REFERENCES_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command references simple request', ['references', 'TST_Person'], {'stdout': ['class TST_Lineage {', 'Lineage defines the relationship', 'string InstanceID;', 'TST_Person REF parent;', 'TST_Person REF child;', '[Association ( true )', 'Description ( " Family gathers person to family." )', 'class TST_MemberOfFamilyCollection {', '[key ( true )]', 'TST_Person REF family;', 'TST_Person REF member;', ], 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command references simple request -o', ['references', 'TST_Person', '--no'], {'stdout': [FAKEURL_STR + '/root/cimv2:TST_Lineage', FAKEURL_STR + '/root/cimv2:TST_MemberOfFamilyCollection'], 'test': 'linesnows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command references request, all filters long', ['references', 'TST_Person', '--role', 'member', '--result-class', 'TST_MemberOfFamilyCollection'], {'stdout': REFERENCES_CLASS_RTN_QUALS2, 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command references request, filters short', ['references', 'TST_Person', '-r', 'member', '--rc', 'TST_MemberOfFamilyCollection'], {'stdout': REFERENCES_CLASS_RTN_QUALS2, 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command refereces table output fails).', {'args': ['associators', 'TST_Person'], 'general': ['--output-format', 'table']}, {'stderr': ['Output format "table" ', 'not allowed', 'Only CIM formats:'], 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], # Reference errors ['Verify class command references no CLASSNAME', ['references'], {'stderr': ['Error: Missing argument .CLASSNAME.'], 'rc': 2, 'test': 'regex'}, None, OK], # Behavior changed pywbem 0.15.0, references bad param rtns except. ['Verify class command references non-existent CLASSNAME rtns error', ['references', 'CIM_Nonexistentclass'], {'stderr': ["CIM_ERR_INVALID_PARAMETER"], 'rc': 1, 'test': 'innows'}, SIMPLE_ASSOC_MOCK_FILE, OK], ['Verify class command references non-existent namespace fails', ['references', 'TST_Person', '--namespace', 'blah'], {'stderr': ['CIMError', 'CIM_ERR_INVALID_NAMESPACE'], 'rc': 1, 'test': 'regex'}, SIMPLE_ASSOC_MOCK_FILE, OK], # # invokemethod command tests # ['Verify class command invokemethod --help response', ['invokemethod', '--help'], {'stdout': CLASS_INVOKEMETHOD_HELP_LINES, 'test': 'innows'}, None, OK], ['Verify class command invokemethod -h response', ['invokemethod', '-h'], {'stdout': CLASS_INVOKEMETHOD_HELP_LINES, 'test': 'innows'}, None, OK], # # class invokemethod command without parameters # ['Verify class command invokemethod CIM_Foo.FuzzyStatic() - no in parms', ['invokemethod', 'CIM_Foo', 'FuzzyStatic'], {'stdout': ["ReturnValue=0"], 'rc': 0, 'test': 'lines'}, [SIMPLE_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], OK], ['Verify class command invokemethod CIM_Foo.FuzzyStatic() with --namespace', ['invokemethod', 'CIM_Foo', 'FuzzyStatic', '--namespace', 'root/cimv2'], {'stdout': ["ReturnValue=0"], 'rc': 0, 'test': 'lines'}, [SIMPLE_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], OK], # Cannot do a test with interop as default because of issue #991 ['Verify class command invokemethod CIM_Foo.FuzzyStatic() with --namespace' ' interop not found to validate that --namspace used', ['invokemethod', 'CIM_Foo', 'FuzzyStatic', '--namespace', 'interop'], {'stderr': ["CIM_ERR_NOT_FOUND", "not found in namespace 'interop'"], 'rc': 1, 'test': 'innows'}, [SIMPLE_INTEROP_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], OK], ['Verify class command invokemethod CIM_Foo.FuzzyStatic() - one in parm', ['invokemethod', 'CIM_Foo', 'FuzzyStatic', '-p', 'TestInOutParameter="blah"'], {'stdout': ['ReturnValue=0', 'TestInOutParameter=', 'blah'], 'rc': 0, 'test': 'innows'}, [SIMPLE_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], OK], ['Verify class command invokemethod fails Invalid Class', ['invokemethod', 'CIM_Foox', 'FuzzyStatic'], {'stderr': ['CIMError', '6'], 'rc': 1, 'test': 'innows'}, [SIMPLE_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], OK], ['Verify class command invokemethod fails Invalid Method', ['invokemethod', 'CIM_Foo', 'Fuzzyx'], {'stderr': ['Class CIM_Foo does not have a method Fuzzyx'], 'rc': 1, 'test': 'innows'}, [SIMPLE_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], OK], ['Verify class command invokemethod fails non-static method, pywbem 1.0', ['invokemethod', 'CIM_Foo', 'Fuzzy'], {'stderr': ["Non-static method 'Fuzzy' in class 'CIM_Foo'"], 'rc': 1, 'test': 'innows'}, [SIMPLE_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], PYWBEM_1_0_0], ['Verify class command invokemethod succeeds non-static method, pywbem 0.x', ['invokemethod', 'CIM_Foo', 'Fuzzy'], {'stdout': ['ReturnValue=0'], 'rc': 0, 'test': 'innows'}, [SIMPLE_MOCK_FILE, INVOKE_METHOD_MOCK_FILE], not PYWBEM_1_0_0], ['Verify class command invokemethod fails Method not registered', ['invokemethod', 'CIM_Foo', 'Fuzzy'], {'stderr': ['CIMError'], 'rc': 1, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify --timestats gets stats output. Cannot test with lines,execution ' 'time is variable.', {'args': ['get', 'CIM_Foo'], 'general': ['--timestats']}, {'stdout': ['Operation Count Errors', 'GetClass 1 0'], 'rc': 0, 'test': 'innows'}, SIMPLE_MOCK_FILE, OK], ['Verify single command with stdin works', {'stdin': ['class get -h']}, {'stdout': ['Usage: pywbemcli [GENERAL-OPTIONS] class get '], 'rc': 0, 'test': 'innows'}, None, OK], ['Verify multiple commands with stdin work', {'stdin': ['class get -h', 'class enumerate -h']}, {'stdout': ['Usage: pywbemcli [GENERAL-OPTIONS] class enumerate ', 'Usage: pywbemcli [GENERAL-OPTIONS] class get '], 'rc': 0, 'test': 'innows'}, None, OK], ] # TODO command class delete. Extend this test to use stdin (delete, test) # namespace # TODO: add test for errors: class invalid, namespace invalid # other tests. Test local-only on top level class TestSubcmdClass(CLITestsBase): # pylint: disable=too-few-public-methods """ Test all of the class command variations. """ command_group = 'class' @pytest.mark.parametrize( "desc, inputs, exp_response, mock, condition", TEST_CASES) def test_class(self, desc, inputs, exp_response, mock, condition): """ Common test method for those commands and options in the class command that can be tested. This includes: * Subcommands like help that do not require access to a server * Subcommands that can be tested with a single execution of a pywbemcli command. """ self.command_test(desc, self.command_group, inputs, exp_response, mock, condition)

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099bd56c8872287f3abf2cdee5e4888979d01b99

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py

Python

bigGay/__init__.py

MayaValentia/byleth-bot-dev

d22290156fdac597aca2dd6d83020dbb49ad8ff0

[ "MIT" ]

1

2020-08-12T18:46:49.000Z

bigGay/__init__.py

MayaValentia/byleth-bot-dev

d22290156fdac597aca2dd6d83020dbb49ad8ff0

[ "MIT" ]

null

bigGay/__init__.py

MayaValentia/byleth-bot-dev

d22290156fdac597aca2dd6d83020dbb49ad8ff0

[ "MIT" ]

2

2020-09-13T02:55:48.000Z

2021-02-11T09:34:07.000Z

from .bigGay import bigGay def setup(bot): cog = bigGay(bot) bot.add_cog(cog)

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09a28df0637d0c34e269ec275da4a8046d1b7543

385

py

Python

python-framework/libs/crypto.py

huangxingx/python-framework

a62618b0ee5ecff9de426327892cdd690d10510d

[ "MIT" ]

7

2019-10-24T03:26:22.000Z

2019-10-27T14:55:07.000Z

python-framework/libs/crypto.py

PJoemu/python-framework

a62618b0ee5ecff9de426327892cdd690d10510d

[ "MIT" ]

3

2021-06-08T19:13:10.000Z

2022-01-13T00:38:48.000Z

python-framework/libs/crypto.py

PJoemu/python-framework

a62618b0ee5ecff9de426327892cdd690d10510d

[ "MIT" ]

2

2019-10-25T03:54:51.000Z

2020-06-28T08:50:12.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # @author: x.huang # @date:17-8-17 from Crypto.Hash import MD5 def encrypto(val): # python3 需要把进行 encode # todo 更改项目加密 key m = MD5.new('python-framework'.encode('utf-8')) m.update(val.encode('utf-8')) return m.hexdigest() def decrypto(val): pass if __name__ == '__main__': print(encrypto('arhieason'))

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09c972c8ee2252231ba255a8d7fd24be9200e9e4

445

py

Python

chat/tests/factories.py

gurupratap-matharu/chatylon

d23ce4b9fa3954ad49fc18647ccf54cd0cc73cf8

[ "MIT" ]

4

2020-11-16T01:53:17.000Z

2021-09-01T06:02:31.000Z

chat/tests/factories.py

gurupratap-matharu/chatylon

d23ce4b9fa3954ad49fc18647ccf54cd0cc73cf8

[ "MIT" ]

null

chat/tests/factories.py

gurupratap-matharu/chatylon

d23ce4b9fa3954ad49fc18647ccf54cd0cc73cf8

[ "MIT" ]

null

import factory from chat.models import Chat, ChatRoom from users.factories import UserFactory class ChatRoomFactory(factory.django.DjangoModelFactory): class Meta: model = ChatRoom name = factory.Faker('word') class ChatFactory(factory.django.DjangoModelFactory): class Meta: model = Chat body = factory.Faker('sentence') author = factory.SubFactory(UserFactory) room = factory.SubFactory(ChatRoom)

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09cd5bd9b3afeaf12e00c4f547e27cdd27294e5a

394

py

Python

projecteuler/util/summation.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

1

2020-04-21T11:39:25.000Z

projecteuler/util/summation.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

7

2020-02-12T01:08:01.000Z

2022-02-10T11:56:56.000Z

projecteuler/util/summation.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

null

def sum_all_to(num: int) -> int: """ Return the sum of all numbers up to and including the input number """ return num * (num + 1) // 2 def square_pyramidal_number(num: int) -> int: """ Return the sum of the squares of all numbers up to and including the input number """ # https://en.wikipedia.org/wiki/Square_pyramidal_number return num * (num + 1) * (2 * num + 1) // 6

39.4

93

0.649746

64

394

3.90625

0.40625

0.048

0.072

0.12

0.648

0.512

0.336

0

0.019672

0.225888

394

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0.520305

0

1

0.5

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0

1

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null

0

1

0

null

0

1

0

1

0

3

61e6e408c9d358e1ba90de75b214eb2a33ce5303

2,663

py

Python

sourcecode/src/vx/lha/Main.py

ivarvb/LHA

b3b7613180d533468edf762195922b73c70c525c

[ "MIT" ]

null

sourcecode/src/vx/lha/Main.py

ivarvb/LHA

b3b7613180d533468edf762195922b73c70c525c

[ "MIT" ]

null

sourcecode/src/vx/lha/Main.py

ivarvb/LHA

b3b7613180d533468edf762195922b73c70c525c

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Author: Ivar """ from Description import * from Classification import * if __name__ == "__main__": inputdir = "../../../../data/LHA/dataset_1" outputdir = inputdir+"/csv/exp/"+Util.now() template = [ { "name":"RAD", "imagedir":"images_cleaned", "maskdir":"seg/seg_window", "masksubsetdir":"100", "parameters":{"tile_size":100}, "erode":[30] }, { "name":"RAD", "imagedir":"images_cleaned", "maskdir":"seg/seg_window", "masksubsetdir":"200", "parameters":{"tile_size":200}, "erode":[30] }, { "name":"RAD", "imagedir":"images_cleaned", "maskdir":"seg/seg_window", "masksubsetdir":"300", "parameters":{"tile_size":300}, "erode":[30] }, { "name":"LBP", "imagedir":"images_cleaned", "maskdir":"masks", "masksubsetdir":"100", "parameters":{"tile_size":100, "radius":5}, "erode":[30] }, { "name":"LBP", "imagedir":"images_cleaned", "maskdir":"masks", "masksubsetdir":"200", "parameters":{"tile_size":200, "radius":5}, "erode":[30] }, { "name":"LBP", "imagedir":"images_cleaned", "maskdir":"masks", "masksubsetdir":"300", "parameters":{"tile_size":300, "radius":5}, "erode":[30] }, { "name":"LBP", "imagedir":"images_cleaned", "maskdir":"masks", "masksubsetdir":"100", "parameters":{"tile_size":100, "radius":10}, "erode":[30] }, { "name":"LBP", "imagedir":"images_cleaned", "maskdir":"masks", "masksubsetdir":"200", "parameters":{"tile_size":200, "radius":10}, "erode":[30] }, { "name":"LBP", "imagedir":"images_cleaned", "maskdir":"masks", "masksubsetdir":"300", "parameters":{"tile_size":300, "radius":10}, "erode":[30] }, ] inputdir = "../../../../data/LHA/dataset_2" outputdir = inputdir+"/csv/exp/"+Util.now() Description.start(inputdir, outputdir, template) Classification.start(outputdir, outputdir) print("Complete in {}".format(outputdir))

23.156522

56

0.437852

208

2,663

5.456731

0.259615

0.111013

0.16652

0.222026

0.769163

0.652863

0

0.05099

0.374014

2,663

115

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23.156522

0.629874

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0

0.559524

0

0.343209

0.023086

0

1

0

false

0

0.02381

0

0.02381

0.011905

0

null

0

1

0

1

0

1

0

null

0

3

61e83a0c30e6a67dbfeb574d16e0f027af82160b

538

py

Python

randutils/lists.py

JoelLefkowitz/randutils

91bfb6a56676675edb241f11b602a46880520c72

[ "MIT" ]

1

2021-08-03T17:34:31.000Z

randutils/lists.py

JoelLefkowitz/randutils

91bfb6a56676675edb241f11b602a46880520c72

[ "MIT" ]

null

randutils/lists.py

JoelLefkowitz/randutils

91bfb6a56676675edb241f11b602a46880520c72

[ "MIT" ]

null

import numpy as np from .chance import by_chance from .exceptions import EmptyListError def pop_random_entry(lst): if not lst: raise EmptyListError index = np.random.randint(0, len(lst)) return lst.pop(index) def pick_random_entry(lst): if not lst: raise EmptyListError index = np.random.randint(0, len(lst)) return lst[index] def randomly_filter(lst, weight=0.1): return [i for i in lst if by_chance(weight)] def scramble(lst): return sorted(lst, key=lambda x: random.random())

18.551724

53

0.689591

82

538

4.439024

0.426829

0.041209

0.076923

0.087912

0.423077

0

0.009456

0.213755

538

28

54

19.214286

0.851064

0

0.352941

0

1

0.235294

false

0

0.176471

0.117647

0.647059

0

null

0

null

0

1

0

1

0

3

61f42117264c7b5f1ae0b590ff1b7ddfa85808ba

11,119

py

Python

test3.py

dg1223/GestureRecognition

07078b0b8340c8b94f42414efe0ed36158e8c0ea

[ "MIT" ]

2

2019-02-12T17:59:41.000Z

2019-10-27T03:36:08.000Z

test3.py

dg1223/GestureRecognition

07078b0b8340c8b94f42414efe0ed36158e8c0ea

[ "MIT" ]

null

test3.py

dg1223/GestureRecognition

07078b0b8340c8b94f42414efe0ed36158e8c0ea

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Aug 29 00:07:11 2015 @author: Shamir """ def CalculateValidData(): # Calculate the number of missing values in the array number_of_nan = len(readFile.values[m][pandas.isnull(readFile.values[m])]) length_of_array = len(readFile.values[m]) valid_datapoints = length_of_array - number_of_nan return valid_datapoints for i in range(len(os.listdir(sourcePath))): # we have 6 files corresponding to 6 gestures print 'i = ', i gesture = os.listdir(sourcePath)[i] # Jab, Uppercut, Throw, Jets, Block, Asgard #dataset = os.listdir(sourcePath + gesture)[0] # Train, Cross Validation, Test copy = False AngVel_array = [] for k in range(len(os.listdir(sourcePath + gesture))): sensor = os.listdir(sourcePath + gesture)[k] # Sensor15, Sensor16, Sensor17, Sensor18, Sensor19 sensorFolder = os.listdir(sourcePath + gesture + backslash + sensor) print sensorFolder for l in range(len(sensorFolder)): csvfile = sourcePath + gesture + backslash + sensor + backslash + sensorFolder[l] # full filepath readFile = pandas.read_csv(csvfile, header = None) readFile.values[1:] = readFile.values[1:].astype(float) velocityAlpha = ['Precession_' + sensor[6:]] velocityBeta = ['Nutation_' + sensor[6:]] velocityGamma = ['Spin_' + sensor[6:]] #print velocityAlpha velocityAlpha = np.asarray(velocityAlpha) velocityBeta = np.asarray(velocityBeta) velocityGamma = np.asarray(velocityGamma) #time = np.shape(readFile.values)[1] / frequency_euc if copy == True: print 'This is the If phase' for m in range(1, len(readFile.values)): # for every two files ??? ## need to add code to check if number_of_rows matches precession, nutation, spin = 0, 0, 0 for n in range(0, np.shape(readFile.values)[1] - 5, 3): alpha = n beta = n + 1 gamma = n + 2 alphaNext = n + 3 betaNext = n + 4 gammaNext = n + 5 try: precession += euclidean(readFile.values[m, alpha], readFile.values[m, alphaNext]) #print 'precession = ', precession nutation += euclidean(readFile.values[m, beta], readFile.values[m, betaNext]) spin += euclidean(readFile.values[m, gamma], readFile.values[m, gammaNext]) except ValueError: #print '1st catch (copy = True) at file, m, n = ', csvfile[-6:], m, n break valid_data = CalculateValidData() # Exclude missing values (we exclude 6 more values to remain within a safer margin) time = valid_data / frequency_euc precessionVelocity = precession/time #print 'precessionVelocity = ', precessionVelocity nutationVelocity = nutation/time spinVelocity = spin/time for n in range(0, np.shape(readFile.values)[1] - 3, 3): alpha = n beta = n + 1 gamma = n + 2 try: readFile.values[m, alpha] = (precessionVelocity * np.sin(readFile.values[m, gamma]) * np.sin(readFile.values[m, beta])) + (nutationVelocity * np.cos(readFile.values[m, gamma])) # alpha component readFile.values[m, beta] = (precessionVelocity * np.cos(readFile.values[m, gamma]) * np.sin(readFile.values[m, beta])) - (nutationVelocity * np.sin(readFile.values[m, gamma])) # beta component readFile.values[m, beta] = (precessionVelocity * np.cos(readFile.values[m, beta])) * spinVelocity # gamma compomemt except ValueError: #print '2nd catch (copy = True) at file, m, n = ', csvfile[-6:], m, n continue averageAlpha = np.sum(readFile.values[m, range(0, valid_data, 3)]) / time averageBeta = np.sum(readFile.values[m, range(1, valid_data, 3)]) / time averageGamma = np.sum(readFile.values[m, range(2, valid_data, 3)]) / time velocityAlpha = np.vstack((velocityAlpha, averageAlpha)) #print 'filename, m, velocityAlpha = ', csvfile[-6:], m, velocityAlpha velocityBeta = np.vstack((velocityBeta, averageBeta)) velocityGamma = np.vstack((velocityGamma, averageGamma)) columnSize = len(velocityAlpha) angular_velocity = np.zeros((len(velocityAlpha), 3)) angular_velocity = angular_velocity.astype(str) # to avoid string to float conversion error # Return the column vectors in a single 2D array angular_velocity[:,0] = velocityAlpha.reshape(1, columnSize) angular_velocity[:,1] = velocityBeta.reshape (1, columnSize) angular_velocity[:,2] = velocityGamma.reshape(1, columnSize) AngVel_array = np.hstack((AngVel_array, angular_velocity)) #print 'AngVel_array = ', AngVel_array else: print 'This is the Else phase' for m in range(1, len(readFile.values)): # for every two files ## need to add code to check if number_of_rows matches precession, nutation, spin = 0, 0, 0 for n in range(0, np.shape(readFile.values)[1] - 5, 3): alpha = n beta = n + 1 gamma = n + 2 alphaNext = n + 3 betaNext = n + 4 gammaNext = n + 5 try: precession += euclidean(readFile.values[m, alpha], readFile.values[m, alphaNext]) nutation += euclidean(readFile.values[m, beta], readFile.values[m, betaNext]) spin += euclidean(readFile.values[m, gamma], readFile.values[m, gammaNext]) except ValueError: #print '1st catch (copy = False) at print file, m, n = ', csvfile[-6:], m, n continue valid_data = CalculateValidData() time = valid_data / frequency_euc precessionVelocity = precession/time nutationVelocity = nutation/time spinVelocity = spin/time #print 'precession,nutation,spinVelocity = ', precessionVelocity, nutationVelocity, spinVelocity for n in range(0, np.shape(readFile.values)[1] - 3, 3): alpha = n beta = n + 1 gamma = n + 2 try: readFile.values[m, alpha] = (precessionVelocity * np.sin(readFile.values[m, gamma]) * np.sin(readFile.values[m, beta])) + (nutationVelocity * np.cos(readFile.values[m, gamma])) # alpha component readFile.values[m, beta] = (precessionVelocity * np.cos(readFile.values[m, gamma]) * np.sin(readFile.values[m, beta])) - (nutationVelocity * np.sin(readFile.values[m, gamma])) # beta component readFile.values[m, beta] = (precessionVelocity * np.cos(readFile.values[m, beta])) * spinVelocity # gamma compomemt except ValueError: #print '2nd catch (copy = True) at file, m, n = ', csvfile[-6:], m, n continue averageAlpha = np.sum(readFile.values[m, range(0, valid_data, 3)]) / time #print 'averageAlpha = ', averageAlpha averageBeta = np.sum(readFile.values[m, range(1, valid_data, 3)]) / time averageGamma = np.sum(readFile.values[m, range(2, valid_data, 3)]) / time velocityAlpha = np.vstack((velocityAlpha, averageAlpha)) #print 'filename, m, velocityAlpha = ', csvfile[-6:], m, velocityAlpha velocityBeta = np.vstack((velocityBeta, averageBeta)) velocityGamma = np.vstack((velocityGamma, averageGamma)) columnSize = len(velocityAlpha) angular_velocity = np.zeros((len(velocityAlpha), 3)) angular_velocity = angular_velocity.astype(str) # Return the column vectors in a single 2D array angular_velocity[:,0] = velocityAlpha.reshape(1, columnSize) angular_velocity[:,1] = velocityBeta.reshape (1, columnSize) angular_velocity[:,2] = velocityGamma.reshape(1, columnSize) AngVel_array = angular_velocity.copy() #print 'AngVel_array = ', AngVel_array copy = True # Create complete file structure/dataframe if i == 0: fullFile4 = DataFrame(AngVel_array) else: AngVel_array = DataFrame(AngVel_array) fullFile4 = pandas.concat([fullFile4, AngVel_array], join = 'inner')

63.176136

229

0.461462

958

11,119

5.296451

0.183716

0.137958

0.121206

0.044935

0.683879

0.6689

0.638549

0.611352

0

0.018528

0.451479

11,119

175

230

63.537143

0.813412

0.153431

0

0.708333

0

0.00817

0

null

0

null

0.033333

0

null

0

1

0

1

0

null

0

1

0

3

1106ac76603f4bd71050edfab94366e8d6245198

43,058

py

Python

tests/test_decision_maker/test_base.py

cyenyxe/agents-aea

c2aec9127028ae13def3f69fbc80d35400de1565

[ "Apache-2.0" ]

null

tests/test_decision_maker/test_base.py

cyenyxe/agents-aea

c2aec9127028ae13def3f69fbc80d35400de1565

[ "Apache-2.0" ]

1

2020-02-21T14:28:13.000Z

2020-03-05T14:53:53.000Z

tests/test_decision_maker/test_base.py

cyenyxe/agents-aea

c2aec9127028ae13def3f69fbc80d35400de1565

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # ------------------------------------------------------------------------------ # # Copyright 2018-2019 Fetch.AI Limited # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # ------------------------------------------------------------------------------ """This module contains tests for decision_maker.""" import os import time from queue import Queue from unittest import mock import pytest from web3.auto import Web3 import aea import aea.decision_maker.base from aea.configurations.base import PublicId from aea.crypto.ethereum import ETHEREUM from aea.crypto.fetchai import DEFAULT_FETCHAI_CONFIG from aea.crypto.ledger_apis import LedgerApis from aea.crypto.wallet import FETCHAI, Wallet from aea.decision_maker.base import DecisionMaker, OwnershipState, Preferences from aea.decision_maker.base import LedgerStateProxy from aea.decision_maker.messages.base import InternalMessage from aea.decision_maker.messages.state_update import StateUpdateMessage from aea.decision_maker.messages.transaction import TransactionMessage from aea.mail.base import Multiplexer, OutBox from aea.protocols.default.message import DefaultMessage from ..conftest import CUR_PATH, DUMMY_CONNECTION_PUBLIC_ID, DummyConnection MAX_REACTIONS = 10 class TestOwnershipState: """Test the base.py for DecisionMaker.""" @classmethod def setup_class(cls): """Initialise the class.""" cls.ownership_state = OwnershipState() def test_properties(self): """Test the assertion error for *_holdings.""" with pytest.raises(AssertionError): self.ownership_state.amount_by_currency_id with pytest.raises(AssertionError): self.ownership_state.quantities_by_good_id def test_initialisation(self): """Test the initialisation of the ownership_state.""" currency_endowment = {"FET": 100} good_endowment = {"good_id": 2} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) assert self.ownership_state.amount_by_currency_id is not None assert self.ownership_state.quantities_by_good_id is not None assert self.ownership_state.is_initialized def test_body(self): """Test the setter for the body.""" msg = InternalMessage() msg.body = {"test_key": "test_value"} other_msg = InternalMessage(body={"test_key": "test_value"}) assert msg == other_msg, "Messages should be equal." assert str(msg) == "InternalMessage(test_key=test_value)" assert msg._body is not None msg.body = {"Test": "My_test"} assert msg._body == { "Test": "My_test" }, "Message body must be equal with the above dictionary." msg.set("Test", 2) assert msg._body["Test"] == 2, "body['Test'] should be equal to 2." msg.unset("Test") assert "Test" not in msg._body.keys(), "Test should not exist." def test_transaction_is_affordable_agent_is_buyer(self): """Check if the agent has the money to cover the sender_amount (the agent=sender is the buyer).""" currency_endowment = {"FET": 100} good_endowment = {"good_id": 20} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": -1}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) assert self.ownership_state.is_affordable_transaction( tx_message=tx_message ), "We should have the money for the transaction!" def test_transaction_is_affordable_there_is_no_wealth(self): """Reject the transaction when there is no wealth exchange.""" currency_endowment = {"FET": 0} good_endowment = {"good_id": 0} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": 0}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 0}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) assert not self.ownership_state.is_affordable_transaction( tx_message=tx_message ), "We must reject the transaction." def tests_transaction_is_affordable_agent_is_the_seller(self): """Check if the agent has the goods (the agent=sender is the seller).""" currency_endowment = {"FET": 0} good_endowment = {"good_id": 0} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": 10}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 0}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) assert self.ownership_state.is_affordable_transaction( tx_message=tx_message ), "We must reject the transaction." def tests_transaction_is_affordable_else_statement(self): """Check that the function returns false if we cannot satisfy any if/elif statements.""" currency_endowment = {"FET": 0} good_endowment = {"good_id": 0} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": 10}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 50}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) assert not self.ownership_state.is_affordable_transaction( tx_message=tx_message ), "We must reject the transaction." def test_apply(self): """Test the apply function.""" currency_endowment = {"FET": 100} good_endowment = {"good_id": 2} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=5, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) list_of_transactions = [tx_message] state = self.ownership_state new_state = self.ownership_state.apply_transactions( transactions=list_of_transactions ) assert ( state != new_state ), "after applying a list_of_transactions must have a different state!" def test_transaction_update(self): """Test the transaction update when sending tokens.""" currency_endowment = {"FET": 100} good_endowment = {"good_id": 20} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) assert self.ownership_state.amount_by_currency_id == currency_endowment assert self.ownership_state.quantities_by_good_id == good_endowment tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=5, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) self.ownership_state._update(tx_message=tx_message) expected_amount_by_currency_id = {"FET": 75} expected_quantities_by_good_id = {"good_id": 30} assert ( self.ownership_state.amount_by_currency_id == expected_amount_by_currency_id ) assert ( self.ownership_state.quantities_by_good_id == expected_quantities_by_good_id ) def test_transaction_update_receive(self): """Test the transaction update when receiving tokens.""" currency_endowment = {"FET": 75} good_endowment = {"good_id": 30} self.ownership_state.init( amount_by_currency_id=currency_endowment, quantities_by_good_id=good_endowment, ) assert self.ownership_state.amount_by_currency_id == currency_endowment assert self.ownership_state.quantities_by_good_id == good_endowment tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": 20}, tx_sender_fee=5, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": -10}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) self.ownership_state._update(tx_message=tx_message) expected_amount_by_currency_id = {"FET": 90} expected_quantities_by_good_id = {"good_id": 20} assert ( self.ownership_state.amount_by_currency_id == expected_amount_by_currency_id ) assert ( self.ownership_state.quantities_by_good_id == expected_quantities_by_good_id ) class TestPreferencesDecisionMaker: """Test the preferences.""" @classmethod def setup_class(cls): """Initialise the class.""" cls.preferences = Preferences() cls.ownership_state = OwnershipState() cls.good_holdings = {"good_id": 2} cls.currency_holdings = {"FET": 100} cls.utility_params = {"good_id": 20.0} cls.exchange_params = {"FET": 10.0} cls.tx_fee = 9 def test_preferences_properties(self): """Test the properties of the preferences class.""" with pytest.raises(AssertionError): self.preferences.exchange_params_by_currency_id with pytest.raises(AssertionError): self.preferences.utility_params_by_good_id def test_preferences_init(self): """Test the preferences init().""" self.preferences.init( exchange_params_by_currency_id=self.exchange_params, utility_params_by_good_id=self.utility_params, tx_fee=self.tx_fee, ) assert self.preferences.utility_params_by_good_id is not None assert self.preferences.exchange_params_by_currency_id is not None assert self.preferences.transaction_fees["seller_tx_fee"] == 4 assert self.preferences.transaction_fees["buyer_tx_fee"] == 5 assert self.preferences.is_initialized def test_logarithmic_utility(self): """Calculate the logarithmic utility and checks that it is not none..""" self.preferences.init( utility_params_by_good_id=self.utility_params, exchange_params_by_currency_id=self.exchange_params, tx_fee=self.tx_fee, ) log_utility = self.preferences.logarithmic_utility( quantities_by_good_id=self.good_holdings ) assert log_utility is not None, "Log_utility must not be none." def test_linear_utility(self): """Calculate the linear_utility and checks that it is not none.""" linear_utility = self.preferences.linear_utility( amount_by_currency_id=self.currency_holdings ) assert linear_utility is not None, "Linear utility must not be none." def test_get_score(self): """Calculate the score.""" score = self.preferences.get_score( quantities_by_good_id=self.good_holdings, amount_by_currency_id=self.currency_holdings, ) linear_utility = self.preferences.linear_utility( amount_by_currency_id=self.currency_holdings ) log_utility = self.preferences.logarithmic_utility( quantities_by_good_id=self.good_holdings ) assert ( score == log_utility + linear_utility ), "The score must be equal to the sum of log_utility and linear_utility." def test_marginal_utility(self): """Test the marginal utility.""" delta_good_holdings = {"good_id": 1} delta_currency_holdings = {"FET": -5} self.ownership_state.init( amount_by_currency_id=self.currency_holdings, quantities_by_good_id=self.good_holdings, ) marginal_utility = self.preferences.marginal_utility( ownership_state=self.ownership_state, delta_quantities_by_good_id=delta_good_holdings, delta_amount_by_currency_id=delta_currency_holdings, ) assert marginal_utility is not None, "Marginal utility must not be none." def test_score_diff_from_transaction(self): """Test the difference between the scores.""" good_holdings = {"good_id": 2} currency_holdings = {"FET": 100} utility_params = {"good_id": 20.0} exchange_params = {"FET": 10.0} tx_fee = 3 self.ownership_state.init( amount_by_currency_id=currency_holdings, quantities_by_good_id=good_holdings ) self.preferences.init( utility_params_by_good_id=utility_params, exchange_params_by_currency_id=exchange_params, tx_fee=tx_fee, ) tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=self.preferences.transaction_fees["seller_tx_fee"], tx_counterparty_fee=self.preferences.transaction_fees["buyer_tx_fee"], tx_quantities_by_good_id={"good_id": 10}, info={"some_info_key": "some_info_value"}, ledger_id="fetchai", tx_nonce="transaction nonce", ) cur_score = self.preferences.get_score( quantities_by_good_id=good_holdings, amount_by_currency_id=currency_holdings ) new_state = self.ownership_state.apply_transactions([tx_message]) new_score = self.preferences.get_score( quantities_by_good_id=new_state.quantities_by_good_id, amount_by_currency_id=new_state.amount_by_currency_id, ) dif_scores = new_score - cur_score score_difference = self.preferences.get_score_diff_from_transaction( ownership_state=self.ownership_state, tx_message=tx_message ) assert ( score_difference == dif_scores ), "The calculated difference must be equal to the return difference from the function." @classmethod def teardown_class(cls): """Teardown any state that was previously setup with a call to setup_class.""" class TestDecisionMaker: """Test the decision maker.""" @classmethod def _patch_logger(cls): cls.patch_logger_warning = mock.patch.object( aea.decision_maker.base.logger, "warning" ) cls.mocked_logger_warning = cls.patch_logger_warning.__enter__() @classmethod def _unpatch_logger(cls): cls.mocked_logger_warning.__exit__() @classmethod def setup_class(cls): """Initialise the decision maker.""" cls._patch_logger() cls.multiplexer = Multiplexer( [DummyConnection(connection_id=DUMMY_CONNECTION_PUBLIC_ID)] ) cls.outbox = OutBox(cls.multiplexer) private_key_pem_path = os.path.join(CUR_PATH, "data", "fet_private_key.txt") eth_private_key_pem_path = os.path.join(CUR_PATH, "data", "fet_private_key.txt") cls.wallet = Wallet( {FETCHAI: private_key_pem_path, ETHEREUM: eth_private_key_pem_path} ) cls.ledger_apis = LedgerApis({FETCHAI: DEFAULT_FETCHAI_CONFIG}, FETCHAI) cls.agent_name = "test" cls.ownership_state = OwnershipState() cls.preferences = Preferences() cls.decision_maker = DecisionMaker( agent_name=cls.agent_name, max_reactions=MAX_REACTIONS, outbox=cls.outbox, wallet=cls.wallet, ledger_apis=cls.ledger_apis, ) cls.multiplexer.connect() cls.tx_id = "transaction0" cls.tx_sender_addr = "agent_1" cls.tx_counterparty_addr = "pk" cls.info = {"some_info_key": "some_info_value"} cls.ledger_id = "fetchai" cls.decision_maker.start() def test_properties(self): """Test the properties of the decision maker.""" assert self.decision_maker.outbox.empty() assert isinstance(self.decision_maker.message_in_queue, Queue) assert isinstance(self.decision_maker.message_out_queue, Queue) assert isinstance(self.decision_maker.ledger_apis, LedgerApis) assert isinstance(self.outbox, OutBox) def test_decision_maker_execute(self): """Test the execute method.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info=self.info, ledger_id=self.ledger_id, tx_nonce="Transaction nonce", ) self.decision_maker.message_in_queue.put_nowait(tx_message) # test that after a while the queue has been consumed. time.sleep(0.5) assert self.decision_maker.message_in_queue.empty() time.sleep(0.5) assert not self.decision_maker.message_out_queue.empty() # TODO test the content of the response. response = self.decision_maker.message_out_queue.get() # noqa def test_decision_maker_handle_state_update_initialize(self): """Test the handle method for a stateUpdate message with Initialize performative.""" good_holdings = {"good_id": 2} currency_holdings = {"FET": 100} utility_params = {"good_id": 20.0} exchange_params = {"FET": 10.0} tx_fee = 1 state_update_message = StateUpdateMessage( performative=StateUpdateMessage.Performative.INITIALIZE, amount_by_currency_id=currency_holdings, quantities_by_good_id=good_holdings, exchange_params_by_currency_id=exchange_params, utility_params_by_good_id=utility_params, tx_fee=tx_fee, ) self.decision_maker.handle(state_update_message) assert self.decision_maker.ownership_state.amount_by_currency_id is not None assert self.decision_maker.ownership_state.quantities_by_good_id is not None assert ( self.decision_maker.preferences.exchange_params_by_currency_id is not None ) assert self.decision_maker.preferences.utility_params_by_good_id is not None def test_decision_maker_handle_update_apply(self): """Test the handle method for a stateUpdate message with APPLY performative.""" good_holdings = {"good_id": 2} currency_holdings = {"FET": 100} currency_deltas = {"FET": -10} good_deltas = {"good_id": 1} state_update_message = StateUpdateMessage( performative=StateUpdateMessage.Performative.APPLY, amount_by_currency_id=currency_deltas, quantities_by_good_id=good_deltas, ) self.decision_maker.handle(state_update_message) expected_amount_by_currency_id = { key: currency_holdings.get(key, 0) + currency_deltas.get(key, 0) for key in set(currency_holdings) | set(currency_deltas) } expected_quantities_by_good_id = { key: good_holdings.get(key, 0) + good_deltas.get(key, 0) for key in set(good_holdings) | set(good_deltas) } assert ( self.decision_maker.ownership_state.amount_by_currency_id == expected_amount_by_currency_id ), "The amount_by_currency_id must be equal with the expected amount." assert ( self.decision_maker.ownership_state.quantities_by_good_id == expected_quantities_by_good_id ) # TODO this used to work with the testnet def test_decision_maker_handle_tx_message(self): """Test the handle tx message method.""" assert self.decision_maker.message_out_queue.empty() tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -2}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info=self.info, ledger_id=self.ledger_id, tx_nonce="Transaction nonce", ) with mock.patch.object( self.decision_maker.ledger_apis, "token_balance", return_value=1000000 ): with mock.patch.object( self.decision_maker.ledger_apis, "transfer", return_value="This is a test digest", ): self.decision_maker.handle(tx_message) assert not self.decision_maker.message_out_queue.empty() def test_decision_maker_handle_unknown_tx_message(self): """Test the handle tx message method.""" patch_logger_error = mock.patch.object(aea.decision_maker.base.logger, "error") mocked_logger_error = patch_logger_error.__enter__() with mock.patch( "aea.decision_maker.messages.transaction.TransactionMessage._is_consistent", return_value=True, ): tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -2}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info=self.info, ledger_id="bitcoin", ) self.decision_maker.handle(tx_message) mocked_logger_error.assert_called_with( "[test]: ledger_id=bitcoin is not supported" ) def test_decision_maker_handle_tx_message_not_ready(self): """Test that the decision maker is not ready to pursuit the goals.Cannot handle the message.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -2}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info=self.info, ledger_id=self.ledger_id, tx_nonce="Transaction nonce", ) with mock.patch.object( self.decision_maker.ledger_apis, "token_balance", return_value=1000000 ): with mock.patch.object( self.decision_maker.ledger_apis, "transfer", return_value="This is a test digest", ): with mock.patch( "aea.decision_maker.base.GoalPursuitReadiness.Status" ) as mocked_status: mocked_status.READY.value = False self.decision_maker.handle(tx_message) assert not self.decision_maker.goal_pursuit_readiness.is_ready tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -2}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info=self.info, ledger_id=self.ledger_id, tx_nonce="transaction nonce", ) self.decision_maker.handle(tx_message) assert not self.decision_maker.message_out_queue.empty() def test_decision_maker_hand_tx_ready_for_signing(self): """Test that the decision maker can handle a message that is ready for signing.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SIGNING, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 0}, ledger_id=self.ledger_id, info=self.info, signing_payload={"key": b"some_bytes"}, ) self.decision_maker.handle(tx_message) assert not self.decision_maker.message_out_queue.empty() def test_decision_maker_handle_tx_message_acceptable_for_settlement(self): """Test that a tx_message is acceptable for settlement.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -2}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, info=self.info, ledger_id=self.ledger_id, tx_nonce="Transaction nonce", ) with mock.patch.object( self.decision_maker, "_is_acceptable_for_settlement", return_value=True ): with mock.patch.object( self.decision_maker, "_settle_tx", return_value="tx_digest" ): self.decision_maker.handle(tx_message) assert not self.decision_maker.message_out_queue.empty() def test_decision_maker_tx_message_is_not_acceptable_for_settlement(self): """Test that a tx_message is not acceptable for settlement.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -2}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id=self.ledger_id, info=self.info, tx_nonce="Transaction nonce", ) with mock.patch.object( self.decision_maker, "_is_acceptable_for_settlement", return_value=True ): with mock.patch.object( self.decision_maker, "_settle_tx", return_value=None ): self.decision_maker.handle(tx_message) assert not self.decision_maker.message_out_queue.empty() def test_decision_maker_execute_w_wrong_input(self): """Test the execute method with wrong input.""" default_message = DefaultMessage( type=DefaultMessage.Type.BYTES, content=b"hello" ) self.decision_maker.message_in_queue.put_nowait(default_message) time.sleep(0.5) self.mocked_logger_warning.assert_called_with( "[{}]: Message received by the decision maker is not of protocol_id=internal.".format( self.agent_name ) ) def test_is_affordable_off_chain(self): """Test the off_chain message.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id="off_chain", info=self.info, tx_nonce="Transaction nonce", ) assert self.decision_maker._is_affordable(tx_message) def test_is_not_affordable_ledger_state_proxy(self): """Test that the tx_message is not affordable with initialized ledger_state_proxy.""" with mock.patch( "aea.decision_maker.messages.transaction.TransactionMessage._is_consistent", return_value=True, ): tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id="bitcoin", info=self.info, ) var = self.decision_maker._is_affordable(tx_message) assert not var def test_is_affordable_ledger_state_proxy(self): """Test that the tx_message is affordable with initialized ledger_state_proxy.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id=self.ledger_id, info=self.info, tx_nonce="Transaction nonce", ) with mock.patch.object( self.decision_maker, "_is_acceptable_for_settlement", return_value=True ): with mock.patch.object( self.decision_maker, "_settle_tx", return_value="tx_digest" ): self.decision_maker._is_affordable(tx_message) assert not self.decision_maker.message_out_queue.empty() def test_settle_tx_off_chain(self): """Test the off_chain message.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id="off_chain", info=self.info, tx_nonce="Transaction nonce", ) tx_digest = self.decision_maker._settle_tx(tx_message) assert tx_digest == "off_chain_settlement" def test_settle_tx_known_chain(self): """Test the off_chain message.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id=self.ledger_id, info=self.info, tx_nonce="Transaction nonce", ) with mock.patch.object( self.decision_maker.ledger_apis, "transfer", return_value="tx_digest" ): tx_digest = self.decision_maker._settle_tx(tx_message) assert tx_digest == "tx_digest" def test_is_utility_enhancing(self): """Test the utility enhancing for off_chain message.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id="off_chain", info=self.info, tx_nonce="Transaction nonce", ) self.decision_maker.ownership_state._quantities_by_good_id = None assert self.decision_maker._is_utility_enhancing(tx_message) def test_sign_tx_fetchai(self): """Test the private function sign_tx of the decision maker for fetchai ledger_id.""" tx_hash = Web3.keccak(text="some_bytes") tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SIGNING, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 0}, ledger_id=self.ledger_id, info=self.info, signing_payload={"tx_hash": tx_hash}, ) tx_signature = self.decision_maker._sign_tx(tx_message) assert tx_signature is not None def test_sign_tx_fetchai_is_acceptable_for_signing(self): """Test the private function sign_tx of the decision maker for fetchai ledger_id.""" tx_hash = Web3.keccak(text="some_bytes") tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SIGNING, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 0}, ledger_id=self.ledger_id, info=self.info, signing_payload={"tx_hash": tx_hash}, ) tx_signature = self.decision_maker._sign_tx(tx_message) assert tx_signature is not None def test_sing_tx_offchain(self): """Test the private function sign_tx for the offchain ledger_id.""" tx_hash = Web3.keccak(text="some_bytes") tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SIGNING, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id=self.tx_id, tx_sender_addr=self.tx_sender_addr, tx_counterparty_addr=self.tx_counterparty_addr, tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 0}, ledger_id="off_chain", info=self.info, signing_payload={"tx_hash": tx_hash}, ) tx_signature = self.decision_maker._sign_tx(tx_message) assert tx_signature is not None @classmethod def teardown_class(cls): """Tear the tests down.""" cls._unpatch_logger() cls.multiplexer.disconnect() cls.decision_maker.stop() class TestLedgerStateProxy: """Test the Ledger State Proxy.""" @classmethod def setup_class(cls): """Set up the test.""" cls.ledger_apis = LedgerApis({FETCHAI: DEFAULT_FETCHAI_CONFIG}, FETCHAI) cls.ledger_state_proxy = LedgerStateProxy(ledger_apis=cls.ledger_apis) def test_ledger_apis(self): """Test the returned ledger_apis.""" assert self.ledger_state_proxy.ledger_apis == self.ledger_apis, "Must be equal." def test_transaction_is_not_affordable(self): """Test if the transaction is affordable on the ledger.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": -20}, tx_sender_fee=0, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id="off_chain", info={"some_info_key": "some_info_value"}, tx_nonce="Transaction nonce", ) with mock.patch.object( self.ledger_state_proxy.ledger_apis, "token_balance", return_value=0 ): result = self.ledger_state_proxy.is_affordable_transaction( tx_message=tx_message ) assert not result def test_transaction_is_affordable(self): """Test if the transaction is affordable on the ledger.""" tx_message = TransactionMessage( performative=TransactionMessage.Performative.PROPOSE_FOR_SETTLEMENT, skill_callback_ids=[PublicId("author", "a_skill", "0.1.0")], tx_id="transaction0", tx_sender_addr="agent_1", tx_counterparty_addr="pk", tx_amount_by_currency_id={"FET": 20}, tx_sender_fee=5, tx_counterparty_fee=0, tx_quantities_by_good_id={"good_id": 10}, ledger_id="off_chain", info={"some_info_key": "some_info_value"}, tx_nonce="Transaction nonce", ) with mock.patch.object( self.ledger_state_proxy.ledger_apis, "token_balance", return_value=0 ): result = self.ledger_state_proxy.is_affordable_transaction( tx_message=tx_message ) assert result

41.925998

106

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0

null

0

1

0

1

0

null

0

3

1112cf8fd2ea3b082bd270c70d54466062312420

8,338

py

Python

personnages3d/filtre.py

mxbossard/personnages3d

87c2ab8dc9b502c0074f1dec04b832803dee1462

[ "Apache-2.0" ]

null

personnages3d/filtre.py

mxbossard/personnages3d

87c2ab8dc9b502c0074f1dec04b832803dee1462

[ "Apache-2.0" ]

null

personnages3d/filtre.py

mxbossard/personnages3d

87c2ab8dc9b502c0074f1dec04b832803dee1462

[ "Apache-2.0" ]

1

2021-10-01T02:03:42.000Z

"""Ce script est un exemple de matplotlib""" import numpy as np def moving_average(x, n, type='simple'): """ compute an n period moving average. type is 'simple' | 'exponential' """ x = np.asarray(x) if type == 'simple': weights = np.ones(n) else: weights = np.exp(np.linspace(-1., 0., n)) weights /= weights.sum() a = np.convolve(x, weights, mode='full')[:len(x)] a[:n] = a[n] return a[-1] if __name__ == '__main__': data = [[1.0], [1.12], [1.17], [1.18], [1.26], [1.33], [1.37], [1.4], [1.46], [1.49], [1.51], [1.52], [1.53], [1.51], [1.52], [1.52], [1.52], [1.51], [1.52], [1.51], [1.51], [1.51], [1.51], [1.52], [1.52], [1.54], [1.56], [1.59], [1.64], [1.69], [1.71], [1.73], [1.78], [1.83], [1.88], [1.94], [1.96], [2.01], [2.04], [2.1], [2.13], [2.16], [2.2], [2.27], [2.3], [2.37], [2.41], [2.46], [2.54], [2.58], [2.64], [2.67], [2.72], [2.76], [2.84], [2.89], [2.93], [2.97], [3.03], [3.08], [3.1], [3.15], [3.18], [3.24], [3.31], [3.33], [3.37], [3.42], [3.42], [3.44], [3.46], [3.51], [3.51], [3.55], [3.59], [3.6], [3.64], [3.63], [3.66], [3.65], [3.66], [3.69], [3.69], [3.71], [3.77], [3.76], [3.79], [3.84], [3.86], [3.94], [4.0], [4.08], [4.05], [4.11], [4.16], [4.24], [4.27], [4.35], [4.35], [4.42], [4.43], [4.47], [4.54], [4.57], [4.62], [4.64], [4.68], [4.74], [4.79], [4.84], [4.93], [4.95], [5.08], [5.15], [5.21], [5.25], [5.3], [5.35], [5.39], [5.46], [5.55], [5.57], [5.6], [5.7], [5.73], [5.77], [5.95], [5.93], [6.06], [6.1], [6.08], [6.13], [6.14], [6.17], [6.25], [6.36], [6.44], [6.61], [6.58], [6.59], [6.71], [6.75], [6.78], [6.8], [6.85], [6.84], [6.95], [6.9], [7.03], [7.03], [7.12], [7.17], [7.13], [7.11], [7.22], [7.25], [7.29], [7.4], [7.42], [7.44], [7.48], [7.46], [7.49], [7.39], [7.56], [7.64], [7.6], [7.64], [7.65], [7.63], [7.66], [7.6], [7.66], [7.62], [7.54], [7.44], [7.43], [7.38], [7.39], [7.22], [7.19], [7.04], [6.97], [6.92], [6.83], [6.83], [6.64], [6.58], [6.52], [6.44], [6.24], [6.24], [6.08], [5.99], [5.93], [5.89], [5.74], [5.65], [5.6], [5.51], [5.46], [5.39], [5.26], [5.2], [5.08], [4.94], [4.81], [4.75], [4.71], [4.66], [4.56], [4.44], [4.39], [4.33], [4.18], [4.15], [4.04], [3.96], [3.84], [3.75], [3.65], [3.58], [3.52], [3.46], [3.34], [3.29], [3.18], [3.11], [3.01], [2.97], [2.87], [2.79], [2.69], [2.59], [2.52], [2.44], [2.39], [2.29], [2.22], [2.15], [2.08], [2.03], [1.92], [1.82], [1.74], [1.68], [1.62], [1.55], [1.46], [1.42], [1.33], [1.27], [1.19], [1.14], [1.08], [1.03], [1.0], [0.93], [0.9], [0.85], [0.81], [0.78], [0.77], [0.73], [0.72], [0.69], [0.68], [0.66], [0.66], [0.65], [0.64], [0.64], [0.63], [0.63], [0.62], [0.61], [0.59], [0.59], [0.57], [0.56], [0.57], [0.56], [0.56], [0.55], [0.61], [0.61], [0.61], [0.61], [0.59], [0.61], [0.61], [0.61], [0.59], [0.59], [0.57], [0.55], [0.56], [0.56], [0.57], [0.57], [0.6], [0.56], [0.57], [0.57], [0.57], [0.56], [0.56], [0.57], [0.58], [0.57], [0.56], [0.55], [0.58], [0.57], [0.75], [0.74], [0.56], [0.56], [0.61], [0.55], [0.68], [0.55], [0.93], [0.71], [0.7], [0.74], [0.7], [0.69], [0.69], [0.52], [0.69], [0.52], [0.67], [0.52], [0.52], [0.52], [0.72], [0.65], [0.7], [0.71], [0.82], [0.93], [0.55], [0.74], [0.72], [0.75], [0.57], [0.58], [0.63], [0.63], [0.65], [0.69], [0.72], [0.79], [0.82], [0.83], [0.89], [0.94], [0.96], [1.03], [1.07], [1.11], [1.13], [1.17], [1.21], [1.23], [1.29], [1.32], [1.36], [1.41], [1.46], [1.5], [1.55], [1.58], [1.62], [1.65], [1.72], [1.74], [1.78], [1.82], [1.88], [1.91], [1.96], [2.01], [2.06], [2.11], [2.17], [2.24], [2.27], [2.31], [2.35], [2.4], [2.45], [2.48], [2.56], [2.59], [2.65], [2.68], [2.74], [2.78], [2.83], [2.86], [2.92], [2.98], [3.01], [3.1], [3.11], [3.18], [3.24], [3.26], [3.31], [3.42], [3.51], [3.56], [3.61], [3.68], [3.67], [3.78], [3.82], [3.83], [3.89], [3.93], [4.03], [4.06], [4.11], [4.19], [4.25], [4.27], [4.36], [4.42], [4.48], [4.53], [4.6], [4.62], [4.66], [4.76], [4.81], [4.91], [5.04], [4.96], [5.07], [5.23], [5.26], [5.33], [5.34], [5.43], [5.43], [5.53], [5.58], [5.61], [5.68], [5.72], [5.77], [5.9], [5.95], [6.04], [6.17], [6.15], [6.27], [6.21], [6.3], [6.36], [6.39], [6.45], [6.54], [6.7], [6.84], [6.78], [6.95], [6.83], [6.91], [6.89], [7.04], [7.22], [7.39], [7.42], [7.38], [7.36], [7.38], [7.45], [7.49], [7.51], [7.38], [7.44], [7.43], [7.43], [7.37], [7.4], [7.36], [7.43], [7.29], [7.26], [7.12], [7.08], [6.96], [6.84], [6.91], [6.78], [6.77], [6.72], [6.63], [6.62], [6.55], [6.51], [6.39], [6.26], [6.07], [6.02], [5.87], [5.85], [5.79], [5.74], [5.72], [5.63], [5.58], [5.51], [5.47], [5.38], [5.3], [5.25], [5.14], [5.08], [5.06], [4.95], [4.98], [4.96], [4.84], [4.83], [4.78], [4.75], [4.69], [4.65], [4.54], [4.47], [4.4], [4.35], [4.5], [4.21], [4.14], [4.1], [4.01], [3.95], [3.86], [3.74], [3.69], [3.63], [3.58], [3.5], [3.46], [3.4], [3.34], [3.27], [3.21], [3.15], [3.02], [2.99], [2.94], [2.85], [2.78], [2.7], [2.65], [2.61], [2.54], [2.5], [2.45], [2.4], [2.31], [2.24], [2.19], [2.16], [2.09], [2.01], [1.95], [1.91], [1.89], [1.83], [1.77], [1.73], [1.7], [1.64], [1.58], [1.52], [1.48], [1.43], [1.4], [1.36], [1.34], [1.31], [1.27], [1.27], [1.23], [1.22], [1.2], [1.2], [1.29], [1.27], [1.26], [1.3], [1.35], [1.4], [1.42], [1.45], [1.49], [1.54], [1.64], [1.69], [1.78], [1.82], [1.88], [1.93], [1.96], [1.98], [2.04], [2.1], [2.13], [2.19], [2.26], [2.3], [2.35], [2.42], [2.47], [2.52], [2.62], [2.68], [2.71], [2.76], [2.79], [2.8], [2.85], [2.89], [2.94], [3.03], [3.1], [3.17], [3.24], [3.25], [3.3], [3.33], [3.37], [3.42], [3.45], [3.5], [3.54], [3.59], [3.66], [3.69], [3.78], [3.84], [3.87], [3.91], [4.01], [4.02], [4.05], [4.1], [4.18], [4.24], [4.32], [4.41], [4.51], [4.54], [4.67], [4.69], [4.7], [4.73], [4.79], [4.87], [4.94], [5.07], [5.14], [5.17], [5.22], [5.32], [5.42], [5.49], [5.52], [5.59], [5.64], [5.68], [5.79], [5.91], [5.83], [5.92], [5.99], [6.05], [6.09], [6.16], [6.23], [6.43], [6.44], [6.51], [6.52], [6.74], [6.65], [6.66], [6.62], [6.77], [6.67], [6.84], [6.88], [6.97], [6.87], [6.88], [7.01], [7.16], [7.16], [7.31], [7.44], [7.4], [7.47], [7.51], [7.55], [7.49], [7.54], [7.61], [7.6], [7.57], [7.5], [7.71], [7.62], [7.53], [7.56], [7.53], [7.54], [7.48], [7.49], [7.41], [7.32], [7.22], [7.12], [7.1], [7.02], [6.91], [6.9], [6.93], [6.85], [6.8], [6.75], [6.6], [6.62], [6.48], [6.35], [6.27], [6.2], [6.09], [6.14], [5.95], [5.89], [5.67], [5.62], [5.52], [5.47], [5.39], [5.33], [5.18], [5.11], [5.05], [4.92], [4.89], [4.75], [4.71], [4.58], [4.49], [4.39], [4.29], [4.22], [4.13], [4.07], [4.0], [3.88], [3.8], [3.75], [3.63], [3.59], [3.52], [3.44], [3.34], [3.25], [3.15], [3.06], [3.0], [2.94], [2.83], [2.75], [2.65], [2.56], [2.51], [2.44], [2.34], [2.27], [2.21], [2.15], [2.09], [2.01], [1.95], [1.89], [1.83], [1.76], [1.68], [1.64], [1.55], [1.46], [1.41], [1.34], [1.26], [1.24], [1.15], [1.11], [1.06], [0.99], [0.95], [0.9], [0.83], [0.79], [0.75], [0.71], [0.67], [0.6], [0.56], [0.55], [0.56], [0.61], [0.53], [2.49], [1000]] print(len(data)) # 824 for i in range(750): d = [] for j in range(10): d.append(data[i + j]) d = np.ravel(d) m = moving_average(d, 8, type='simple') print(m)

63.166667

83

0.333173

1,751

8,338

1.580811

0.087379

0.01409

0.018786

0.010838

0.150289

0.071893

0.015896

0

0.390055

0.257136

8,338

131

84

63.648855

0.056829

0.013552

0

0.003659

0

1

0.008929

false

0

0.008929

0

0.026786

0.017857

0

1

null

0

1

0

1

0

null

0

3

111b82803ba6219820d34735a4253abbca5f8527

1,785

py

Python

tests/test_grizzly/steps/scenario/test_results.py

boffman/grizzly

eabe7b8f6cd7098914a1473928135c1e05758af7

[ "MIT" ]

null

tests/test_grizzly/steps/scenario/test_results.py

boffman/grizzly

eabe7b8f6cd7098914a1473928135c1e05758af7

[ "MIT" ]

9

2022-01-05T08:53:41.000Z

2022-03-31T07:26:05.000Z

tests/test_grizzly/steps/scenario/test_results.py

boffman/grizzly

eabe7b8f6cd7098914a1473928135c1e05758af7

[ "MIT" ]

null

from typing import cast from grizzly.context import GrizzlyContext from grizzly.steps import * # pylint: disable=unused-wildcard-import # noqa: F403 from ....fixtures import BehaveFixture def test_step_results_fail_ratio(behave_fixture: BehaveFixture) -> None: behave = behave_fixture.context grizzly = cast(GrizzlyContext, behave.grizzly) assert grizzly.scenario.validation.fail_ratio is None assert not grizzly.scenario.should_validate() step_results_fail_ratio(behave, 10) assert grizzly.scenario.validation.fail_ratio == 0.1 assert grizzly.scenario.should_validate() def test_step_results_avg_response_time(behave_fixture: BehaveFixture) -> None: behave = behave_fixture.context grizzly = cast(GrizzlyContext, behave.grizzly) assert grizzly.scenario.validation.avg_response_time is None assert not grizzly.scenario.should_validate() step_results_avg_response_time(behave, 200) assert grizzly.scenario.validation.avg_response_time == 200 assert grizzly.scenario.should_validate() def test_step_results_response_time_percentile(behave_fixture: BehaveFixture) -> None: behave = behave_fixture.context grizzly = cast(GrizzlyContext, behave.grizzly) assert grizzly.scenario.validation.response_time_percentile is None assert not grizzly.scenario.should_validate() step_results_response_time_percentile(behave, 95, 800) assert getattr(grizzly.scenario.validation, 'response_time_percentile', None) is not None response_time_percentile = grizzly.scenario.validation.response_time_percentile assert getattr(response_time_percentile, 'percentile', None) == 0.95 assert getattr(response_time_percentile, 'response_time', None) == 800 assert grizzly.scenario.should_validate()

36.428571

93

0.791036

218

1,785

6.220183

0.197248

0.143805

0.123894

0.128319

0.809735

0.70649

0.521386

0.476401

0.39823

0

0.015504

0.132773

1,785

48

94

37.1875

0.860465

0.028571

0

0.387097

0

0.027152

0.013865

0

0.451613

1

0.096774

false

0

0.129032

0

0.225806

0

null

0

1

0

null

0

1

0

3

112006d175386d520393db8a5fbf90e3082f8290

39

py

Python

orbit/__init__.py

CrossNox/orbit

1c803596b3477a91c122093c1f6e34333b6db42e

[ "Apache-2.0" ]

null

orbit/__init__.py

CrossNox/orbit

1c803596b3477a91c122093c1f6e34333b6db42e

[ "Apache-2.0" ]

null

orbit/__init__.py

CrossNox/orbit

1c803596b3477a91c122093c1f6e34333b6db42e

[ "Apache-2.0" ]

null

name = 'orbit' __version__ = '1.0.10'

9.75

22

0.615385

6

39

3.333333

1

0

0.125

0.179487

39

3

23

13

0.5

0

0.289474

0

1

0

false

0

1

0

null

0

1

0

null

0

3

11534d93e39e29332cbc56c2467f77183e5bab66

2,028

py

Python

tests/test_redirector.py

lawliet89/flask-redirector

8637c2bd0025bb48db8694c83ad64825a85825a5

[ "Apache-2.0" ]

null

tests/test_redirector.py

lawliet89/flask-redirector

8637c2bd0025bb48db8694c83ad64825a85825a5

[ "Apache-2.0" ]

1

2016-09-27T03:23:38.000Z

tests/test_redirector.py

lawliet89/flask-redirector

8637c2bd0025bb48db8694c83ad64825a85825a5

[ "Apache-2.0" ]

null

# coding=utf-8 """ Redirector tests """ from redirector import views def test_redirects_correctly(client): response = client.get('/foo/bar.html?foo=bar') assert response.status_code == 301 assert response.headers['Location'] == 'https://www.example.com/foo/bar.html?foo=bar' def test_normalize_port_normalizes_properly(): assert views.normalize_port('http', 80) == None assert views.normalize_port('https', 443) == None assert views.normalize_port('http', 8080) == 8080 assert views.normalize_port('http', '8080') == 8080 def test_make_base_url_with_root_base_path(): scheme = 'https' host = 'foo.bar' port = 80 base_path = '/' assert views.make_base_url(scheme, host, port, base_path) == 'https://foo.bar:80/' def test_make_base_url_with_non_root_base_path(): scheme = 'https' host = 'foo.bar' port = 80 base_path = '/fooooooooo/' assert views.make_base_url(scheme, host, port, base_path) == 'https://foo.bar:80/fooooooooo/' def test_make_redirect_url_with_root(): scheme = 'https' host = 'foo.bar' port = 80 base_path = '/aye/aye/captain/' path = '' expected = 'https://foo.bar:80/aye/aye/captain/' assert views.make_redirect_url(path, scheme, host, port, base_path) == expected def test_make_redirect_url_with_root_base_path(): scheme = 'https' host = 'foo.bar' port = 80 base_path = '/' path = 'aye/aye/captain?jump_overboard=true&depth=199' expected = 'https://foo.bar:80/aye/aye/captain?jump_overboard=true&depth=199' assert views.make_redirect_url(path, scheme, host, port, base_path) == expected def test_make_redirect_url_with_non_root_base_path(): scheme = 'https' host = 'foo.bar' port = 80 base_path = '/fooooooooo/' path = 'aye/aye/captain?jump_overboard=true&depth=199' expected = 'https://foo.bar:80/fooooooooo/aye/aye/captain?jump_overboard=true&depth=199' assert views.make_redirect_url(path, scheme, host, port, base_path) == expected

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1166eafac1780fdb1b04815e3dcee64d69f82e8c

314

py

Python

imgbase/filters.py

olajir/projbase

c434bf5ef0627e7161fe026885a778e8240a26a0

[ "MIT" ]

null

imgbase/filters.py

olajir/projbase

c434bf5ef0627e7161fe026885a778e8240a26a0

[ "MIT" ]

null

imgbase/filters.py

olajir/projbase

c434bf5ef0627e7161fe026885a778e8240a26a0

[ "MIT" ]

null

import numpy as np import skimage import skimage.morphology as morph import skimage.filters as filt import skimage.exposure as expo def get_corrected_image(iimage, gamma=0.25): """Return filtered image to detect spots.""" image = skimage.util.img_as_float(iimage) image **= gamma return image

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null

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11677e2c59bc64a37229b6462c616546dac9135c

398

py

Python

packages/python/yap_kernel/yap_ipython/utils/tests/test_sysinfo.py

ryandesign/yap

9a50d1a3d985ec559ebfbb8e9f4d4c6b88b30214

[ "Artistic-1.0-Perl", "ClArtistic" ]

90

2015-03-09T01:24:15.000Z

2022-02-24T13:56:25.000Z

packages/python/yap_kernel/yap_ipython/utils/tests/test_sysinfo.py

ryandesign/yap

9a50d1a3d985ec559ebfbb8e9f4d4c6b88b30214

[ "Artistic-1.0-Perl", "ClArtistic" ]

52

2016-02-14T08:59:37.000Z

2022-03-14T16:39:35.000Z

packages/python/yap_kernel/yap_ipython/utils/tests/test_sysinfo.py

ryandesign/yap

9a50d1a3d985ec559ebfbb8e9f4d4c6b88b30214

[ "Artistic-1.0-Perl", "ClArtistic" ]

27

2015-11-19T02:45:49.000Z

2021-11-25T19:47:58.000Z

# coding: utf-8 """Test suite for our sysinfo utilities.""" # Copyright (c) yap_ipython Development Team. # Distributed under the terms of the Modified BSD License. import json import nose.tools as nt from yap_ipython.utils import sysinfo def test_json_getsysinfo(): """ test that it is easily jsonable and don't return bytes somewhere. """ json.dumps(sysinfo.get_sys_info())

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fec502d06e7f6b4c2323778a4f480e3ca87b83f7

243

py

Python

appointment_booking/appointment_booking/doctype/visitor_appointment/tasks.py

smarty-india/appointment_booking

781b8883b749d78d543b21f39f9c1a12f16033ae

[ "MIT" ]

1

2021-02-10T05:13:29.000Z

appointment_booking/appointment_booking/doctype/visitor_appointment/tasks.py

smarty-india/appointment_booking

781b8883b749d78d543b21f39f9c1a12f16033ae

[ "MIT" ]

null

appointment_booking/appointment_booking/doctype/visitor_appointment/tasks.py

smarty-india/appointment_booking

781b8883b749d78d543b21f39f9c1a12f16033ae

[ "MIT" ]

7

2020-09-23T13:10:29.000Z

2021-12-28T19:03:34.000Z

import frappe def set_appointment_as_pending(): frappe.db.sql("""update `tabVisitor Appointment` set `status`='Pending' where appointment_date is not null and appointment_date < CURDATE() and `status` not in ('Closed', 'Cancelled')""")

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fecbabb08af60d46436a84bbcfcf8d984bfc2f0d

301

py

Python

import_descendants/test_example/__init__.py

ZumatechLtd/import-descendants

ad3dd65ae74dd98ae1eec68fad3b1fa775a5d74f

[ "Unlicense" ]

null

import_descendants/test_example/__init__.py

ZumatechLtd/import-descendants

ad3dd65ae74dd98ae1eec68fad3b1fa775a5d74f

[ "Unlicense" ]

null

import_descendants/test_example/__init__.py

ZumatechLtd/import-descendants

ad3dd65ae74dd98ae1eec68fad3b1fa775a5d74f

[ "Unlicense" ]

1

2020-03-23T13:59:40.000Z

# -*- coding: utf-8 -*- # (c) 2013 Bright Interactive Limited. All rights reserved. # http://www.bright-interactive.com | info@bright-interactive.com from import_descendants import import_descendants import sys this_module = sys.modules[__name__] import_descendants(this_module, globals(), locals())

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1

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null

0

1

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fed8fa9a87db15241481aa01020912d1d1d9aa17

91

py

Python

client/const.py

math2001/nine43

7749dc63b9717a6ee4ddc1723d6c59e16046fc01

[ "MIT" ]

null

client/const.py

math2001/nine43

7749dc63b9717a6ee4ddc1723d6c59e16046fc01

[ "MIT" ]

3

2019-04-27T06:34:34.000Z

2019-04-27T21:29:31.000Z

client/const.py

math2001/nine43

7749dc63b9717a6ee4ddc1723d6c59e16046fc01

[ "MIT" ]

null

MONO = "FiraMono-Medium" PORT = 9999 ISSUES = "https://github.com/math2001/nine43/issues"

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null

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3

fef4d3e2153fde18995213ace718d0a7d41c56ac

55

py

Python

test.py

SquarerFive/ursina

8d2a86a702a96fe2d3d3b608b87e755bf28cb2ae

[ "MIT" ]

null

test.py

SquarerFive/ursina

8d2a86a702a96fe2d3d3b608b87e755bf28cb2ae

[ "MIT" ]

null

test.py

SquarerFive/ursina

8d2a86a702a96fe2d3d3b608b87e755bf28cb2ae

[ "MIT" ]

null

import ursina app = ursina.Ursina(init_showbase=True)

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null

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3a0e24a4de9a8532f6e0fffca390853480dadb10

5,460

py

Python

PoPs/warning.py

brown170/fudge

4f818b0e0b0de52bc127dd77285b20ce3568c97a

[ "BSD-3-Clause" ]

14

2019-08-29T23:46:24.000Z

2022-03-21T10:16:25.000Z

PoPs/warning.py

brown170/fudge

4f818b0e0b0de52bc127dd77285b20ce3568c97a

[ "BSD-3-Clause" ]

1

2020-08-04T16:14:45.000Z

2021-12-01T01:54:34.000Z

PoPs/warning.py

brown170/fudge

4f818b0e0b0de52bc127dd77285b20ce3568c97a

[ "BSD-3-Clause" ]

2

2022-03-03T22:41:41.000Z

2022-03-03T22:54:43.000Z

# <<BEGIN-copyright>> # Copyright 2021, Lawrence Livermore National Security, LLC. # See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: BSD-3-Clause # <<END-copyright>> """ Store and report warnings and errors in a PoPs database. PoPs.check() returns a nested list of warning objects: >>> warnings = PoPs.check() >>> print( warnings ) May include or exclude specific classes of warning using the filter command. filter() returns a new context instance: >>> warnings2 = warnings.filter( exclude=[warning.unnormalizedGammas] ) Or, for easier searching you may wish to flatten the list (to get warnings alone without context messages): >>> flat = warnings.flatten() """ # FIXME context class and base warning class are both identical to stuff in fudge.warning. Move to external utility? __metaclass__ = type class context: """ Store warnings in context. This class contains location information (reactionSuite, reaction, etc) plus a nested list of warnings or other context instances """ def __init__( self, message='', warningList=None ): self.message = message self.warningList = warningList or [] def __len__( self ): return len(self.warningList) def __getitem__( self, idx ): return self.warningList[idx] def __str__( self ): if len(self.warningList) == 0: return self.message + ": no problems encountered" return '\n'.join(self.toStringList()) def __eq__( self, other ): return self.message == other.message and self.warningList == other.warningList def filter( self, include=None, exclude=None ): """ Filter warning list to only include (or exclude) specific classes of warning. For example: >>> newWarnings = warnings.filter( exclude=[warning.discreteLevelsOutOfOrder] ) Note that if both 'include' and 'exclude' lists are provided, exclude is ignored. """ if include is None and exclude is None: return self newWarningList = [] for warning in self.warningList: if isinstance(warning, context): newContext = warning.filter(include, exclude) if newContext: newWarningList.append(newContext) elif include is not None: if warning.__class__ in include: newWarningList.append(warning) else: # exclude is not None: if warning.__class__ not in exclude: newWarningList.append(warning) return context(self.message, newWarningList) def flatten( self ): """ From a nested hierarchy of warnings, get back a flat list for easier searching: >>> w = PoPs.check() >>> warningList = w.flatten() :return: list containing all of warnings """ List = [] for val in self.warningList: if isinstance(val, warning): List.append(val) else: List += val.flatten() return List def toStringList( self, indent='', dIndent=' ' ): """ Format warnings for printing. Returns a list of warning strings with indentation. """ s = ['%s%s' % (indent, self.message)] for warning in self.warningList: s += warning.toStringList(indent + dIndent) return s class warning: # FIXME make abstract base class? """ General warning class. Contains link to problem object, xpath in case the object leaves memory, and information about the warning or error. """ def __init__( self, obj=None ): self.obj = obj self.xpath = '' if hasattr(obj, 'toXLink'): self.xpath = obj.toXLink() def __str__( self ): return "Generic warning for %s" % self.xpath def __eq__( self, other ): return self.xpath == other.xpath def toStringList( self, indent='' ): return ['%sWARNING: %s' % (indent, self)] # # specific warning classes: # class NotImplemented(warning): def __init__( self, form, obj=None ): warning.__init__(self, obj) self.form = form def __str__( self ): return "Checking not yet implemented for %s type data" % self.form def __eq__( self, other ): return (self.form == other.form and self.xpath == other.xpath) class discreteLevelsOutOfOrder( warning ): def __init__(self, lidx, obj=None): warning.__init__(self, obj) self.lidx = lidx def __str__(self): return "Discrete level %s is out of order" % self.lidx def __eq__(self, other): return (self.lidx == other.lidx) class unnormalizedDecayProbabilities( warning ): def __init__(self, branchingSum, obj=None): warning.__init__(self, obj) self.branchingSum = branchingSum def __str__(self): return "Sum of decay probabilities = %s, should be 1.0!" % (self.branchingSum) def __eq__(self, other): return (self.xpath == other.xpath and self.branchingSum == other.branchingSum) class AliasToNonExistentParticle(warning): def __init__( self, id, pid, obj=None ): warning.__init__(self, obj) self.id = id self.pid = pid def __str__(self): return "Alias '%s' points to non-existant particle '%s'" % (self.id, self.pid) def __eq__(self, other): return (self.id == other.id and self.pid == other.pid)

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3

3a1a4878173988f64e8012e0966e1a78c639eef8

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py

Python

ToDo/settings/common.py

adarsh9780/2Do

b0f3067b34c49987a4bbb7b56813d73805d83918

[ "MIT" ]

null

ToDo/settings/common.py

adarsh9780/2Do

b0f3067b34c49987a4bbb7b56813d73805d83918

[ "MIT" ]

10

2020-01-03T16:56:27.000Z

2022-01-13T00:41:57.000Z

ToDo/settings/common.py

adarsh9780/2Do

b0f3067b34c49987a4bbb7b56813d73805d83918

[ "MIT" ]

null

""" Django settings for ToDo project. Generated by 'django-admin startproject' using Django 1.11. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '4@_rz2!t@z1jvzsw84+42xxr1v2yz7qhop$khg($i@8s5@73yd' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.11/howto/deployment/checklist/ ALLOWED_HOSTS = ['10.10.131.76', '127.0.0.1'] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', #Custom Apps 'CreateCard', #Crispy forms 'crispy_forms', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'ToDo.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [ os.path.join(BASE_DIR, "templates")], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'ToDo.wsgi.application' # Database # https://docs.djangoproject.com/en/1.11/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/1.11/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend' # Internationalization # https://docs.djangoproject.com/en/1.11/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'Asia/Kolkata' USE_I18N = True USE_L10N = True USE_TZ = False # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.11/howto/static-files/ STATIC_URL = '/static/' # This is where static files will be collected. STATIC_ROOT = os.path.join(BASE_DIR, 'Static_Root') # apart from looking in 'my_app/static', this setting will also # look for static files mentioned in below directories. # Remove the contents if you have one. # STATICFILES_DIRS = [ # os.path.join(BASE_DIR, "static"), # ] # Media settings MEDIA_URL = '/media/' MEDIA_ROOT = os.path.join(BASE_DIR, "Media_Root") # TWILIO_ACCOUNT_SID = os.environ['TWILIO_ACCOUNT_SID'] # TWILIO_AUTH_TOKEN = os.environ['TWILIO_AUTH_TOKEN'] # TWILIO_CALLER_ID = os.environ['TWILIO_CALLER_ID'] #for Twilio TWILIO_ACCOUNT_SID='ACf444eea774e6a2e4e0b81cd4b8cb3a8d' TWILIO_AUTH_TOKEN='4dd33e0cf293066f9df8d7d385d454f7' TWILIO_CALLER_ID='+18042943446' #Crispy form CRISPY_TEMPLATE_PACK = 'bootstrap4'

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3a1ad1cbd5fa6fd57f60b6cfe90e8e847de62504

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py

Python

openamundsen/modules/__init__.py

openamundsen/openamundsen

2ac09eb34b0c72c84c421a0dac08d114a05b7b1c

[ "MIT" ]

3

2021-05-28T06:46:36.000Z

2021-06-14T13:39:25.000Z

openamundsen/modules/__init__.py

openamundsen/openamundsen

2ac09eb34b0c72c84c421a0dac08d114a05b7b1c

[ "MIT" ]

22

2021-04-28T12:31:58.000Z

2022-03-09T18:29:12.000Z

openamundsen/modules/__init__.py

openamundsen/openamundsen

2ac09eb34b0c72c84c421a0dac08d114a05b7b1c

[ "MIT" ]

1

2021-06-01T12:48:54.000Z

from . import ( canopy, evapotranspiration, radiation, snow, soil, )

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