xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

ff7b58b6e4827e815ace89a2af8cf4fc2ffcfe0e

113

py

Python

pyslide/contour/__init__.py

sarthakpati/pyslide

57a28ae3d236a30405814bfed6a89cac82a814d8

[ "MIT" ]

47

2017-11-03T03:10:06.000Z

2022-02-13T14:42:57.000Z

pyslide/contour/__init__.py

sarthakpati/pyslide

57a28ae3d236a30405814bfed6a89cac82a814d8

[ "MIT" ]

5

2017-11-03T03:40:29.000Z

2021-04-13T20:31:56.000Z

pyslide/contour/__init__.py

sarthakpati/pyslide

57a28ae3d236a30405814bfed6a89cac82a814d8

[ "MIT" ]

11

2017-11-03T03:10:10.000Z

2021-04-13T13:55:29.000Z

# -*- coding: utf-8 -*- from ._adjust import * from ._check import * from ._rela import * from ._split import *

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py

Python

haferml/__init__.py

emptymalei/haferml

ba193ce1c022c89fb4e88924b7bb7a05b676929a

[ "MIT" ]

11

2021-04-17T18:51:45.000Z

2021-06-25T19:42:25.000Z

haferml/__init__.py

emptymalei/haferml

ba193ce1c022c89fb4e88924b7bb7a05b676929a

[ "MIT" ]

3

2021-04-29T19:24:15.000Z

2021-05-21T04:30:54.000Z

haferml/__init__.py

emptymalei/haferml

ba193ce1c022c89fb4e88924b7bb7a05b676929a

[ "MIT" ]

2

2021-06-10T00:55:43.000Z

2021-12-30T07:37:07.000Z

from haferml.version import __version__

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py

Python

tests/cases/resources/tests/async/__init__.py

cchmc-bmi-os/serrano

ffecaa8e866423386e8a8c2432f99dd02ae7b4c1

[ "BSD-2-Clause" ]

6

2015-01-16T14:27:54.000Z

2020-08-27T16:32:52.000Z

tests/cases/resources/tests/async/__init__.py

cchmc-bmi-os/serrano

ffecaa8e866423386e8a8c2432f99dd02ae7b4c1

[ "BSD-2-Clause" ]

52

2015-01-05T19:11:18.000Z

2017-02-16T14:28:38.000Z

tests/cases/resources/tests/async/__init__.py

cchmc-bmi-os/serrano

ffecaa8e866423386e8a8c2432f99dd02ae7b4c1

[ "BSD-2-Clause" ]

6

2015-07-29T18:52:04.000Z

2020-01-02T16:04:01.000Z

from .base import * # noqa from .exporter import * # noqa from .preview import * # noqa from .query import * # noqa

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py

Python

integration/tests_ok/predicates_string.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

integration/tests_ok/predicates_string.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

integration/tests_ok/predicates_string.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

from flask import request from app import app @app.route("/predicates-string") def predicates_string(): return "Hello World!" @app.route("/predicates-string-empty") def predicates_string_empty(): return "" @app.route("/predicates-string-unicode") def predicates_string_unicode(): return "\u2708"

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441084d18db6660b6c3ce4efb0a657dd1f3a4613

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py

Python

scidb/plugins/sandbox/__init__.py

oxdc/sci.db

0a751a0e05e7ad4c83c350e32e32ea9ce5831cbb

[ "MIT" ]

null

scidb/plugins/sandbox/__init__.py

oxdc/sci.db

0a751a0e05e7ad4c83c350e32e32ea9ce5831cbb

[ "MIT" ]

null

scidb/plugins/sandbox/__init__.py

oxdc/sci.db

0a751a0e05e7ad4c83c350e32e32ea9ce5831cbb

[ "MIT" ]

null

from .sandbox import SandboxManager

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6

443cc1c6e2d990e86edc9ab3e69d68e2403f006a

33

py

Python

devin/__init__.py

peterskipper/devin

9822637ebcee64ae22f5180030715e9583e97243

[ "MIT" ]

null

devin/__init__.py

peterskipper/devin

9822637ebcee64ae22f5180030715e9583e97243

[ "MIT" ]

null

devin/__init__.py

peterskipper/devin

9822637ebcee64ae22f5180030715e9583e97243

[ "MIT" ]

null

from devin.cli import devin_main

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4477f699cabfdb87f1d308d97c9bb6d1ee56a275

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py

Python

pokemons/tests/mocks.py

vanessa/pokebattle

3017ad226bc05cc06cb5eb34455c13d959be10ab

[ "MIT" ]

2

2018-03-16T15:33:31.000Z

2018-05-08T17:53:22.000Z

pokemons/tests/mocks.py

vanessa/pokebattle

3017ad226bc05cc06cb5eb34455c13d959be10ab

[ "MIT" ]

3

2018-05-02T18:38:51.000Z

2018-05-08T20:03:43.000Z

pokemons/tests/mocks.py

vanessa/pokebattle

3017ad226bc05cc06cb5eb34455c13d959be10ab

[ "MIT" ]

2

2018-03-16T02:32:20.000Z

2018-03-16T14:17:15.000Z

# pylint: skip-file POKEAPI_POKEMON_LIST_EXAMPLE = { "count": 949, "previous": None, "results": [ { "url": "https://pokeapi.co/api/v2/pokemon/21/", "name": "spearow" }, { "url": "https://pokeapi.co/api/v2/pokemon/22/", "name": "fearow" } ] } POKEAPI_POKEMON_DATA_EXAMPLE_FIRST = { "forms": [ { "url": "https://pokeapi.co/api/v2/pokemon-form/21/", "name": "spearow" } ], "stats": [ { "stat": { "url": "https://pokeapi.co/api/v2/stat/6/", "name": "speed" }, "effort": 1, "base_stat": 70 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/5/", "name": "special-defense" }, "effort": 0, "base_stat": 31 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/4/", "name": "special-attack" }, "effort": 0, "base_stat": 31 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/3/", "name": "defense" }, "effort": 0, "base_stat": 30 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/2/", "name": "attack" }, "effort": 0, "base_stat": 60 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/1/", "name": "hp" }, "effort": 0, "base_stat": 40 } ], "name": "spearow", "weight": 20, "sprites": { "back_female": None, "back_shiny_female": None, "back_default": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/back/21.png", "front_female": None, "front_shiny_female": None, "back_shiny": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/back/shiny/21.png", "front_default": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/21.png", "front_shiny": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/shiny/21.png" }, "id": 21, "order": 30, "base_experience": 52 } POKEAPI_POKEMON_DATA_EXAMPLE_SECOND = { "forms": [ { "url": "https://pokeapi.co/api/v2/pokemon-form/22/", "name": "fearow" } ], "stats": [ { "stat": { "url": "https://pokeapi.co/api/v2/stat/6/", "name": "speed" }, "effort": 2, "base_stat": 100 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/5/", "name": "special-defense" }, "effort": 0, "base_stat": 31 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/4/", "name": "special-attack" }, "effort": 0, "base_stat": 31 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/3/", "name": "defense" }, "effort": 0, "base_stat": 65 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/2/", "name": "attack" }, "effort": 0, "base_stat": 90 }, { "stat": { "url": "https://pokeapi.co/api/v2/stat/1/", "name": "hp" }, "effort": 0, "base_stat": 40 } ], "name": "fearow", "weight": 100, "sprites": { "back_female": None, "back_shiny_female": None, "back_default": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/back/22.png", "front_female": None, "front_shiny_female": None, "back_shiny": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/back/shiny/22.png", "front_default": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/22.png", "front_shiny": "https://raw.githubusercontent.com/PokeAPI/sprites/master/sprites/pokemon/shiny/22.png" }, "id": 22, "order": 30, "base_experience": 52 }

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py

Python

nyuseu/tests/test_views.py

foxmask/nyuseu

e563bec3be46be0f0430987560b1126872f97a5f

[ "BSD-3-Clause" ]

1

2020-09-04T20:41:33.000Z

nyuseu/tests/test_views.py

foxmask/nyuseu

e563bec3be46be0f0430987560b1126872f97a5f

[ "BSD-3-Clause" ]

4

2020-09-06T20:30:20.000Z

2020-09-09T12:08:35.000Z

nyuseu/tests/test_views.py

foxmask/nyuseu

e563bec3be46be0f0430987560b1126872f97a5f

[ "BSD-3-Clause" ]

null

# coding: utf-8 from django.test import RequestFactory, TestCase from django.contrib.messages.storage.fallback import FallbackStorage from nyuseu.models import Feeds, Folders, Articles from nyuseu.views import ArticlesListView, ArticlesDetailView,\ marked_as_read, marked_as_unread, read_later, unread_later class ArticlesListViewTestCase(TestCase): def create_stuff(self): folder = Folders.objects.create(title="FolderD") title = 'Le Free de la passion' url = 'https://foxmask.github.io/feeds/all.atom.xml' status = True feeds = Feeds.objects.create(folder=folder, title=title, url=url, status=status) title = 'TEST TITLE' image = '' text = 'TEST' read = False Articles.objects.create(feeds=feeds, title=title, image=image, text=text, read=read) return feeds def setUp(self): super(ArticlesListViewTestCase, self).setUp() # Every test needs access to the request factory. self.factory = RequestFactory() def test_all_articles_list(self): template = "nyuseu/articles_list.html" # Setup request and view. request = RequestFactory().get('/') view = ArticlesListView.as_view(template_name=template) # Run. response = view(request) # Check. self.assertEqual(response.status_code, 200) self.assertEqual(response.template_name[0], "nyuseu/articles_list.html") def test_articles_list_from_feeds(self): feeds = self.create_stuff() template = "nyuseu/articles_list.html" # Setup request and view. request = RequestFactory().get('feeds/{}/'.format(feeds.id)) kwargs = {'feeds': feeds.id} view = ArticlesListView.as_view(template_name=template)(request, **kwargs) # Run. # response = view(request) # Check. self.assertEqual(view.status_code, 200) self.assertEqual(view.template_name[0], "nyuseu/articles_list.html") def test_articles_list_no_page_size(self): feeds = self.create_stuff() template = "nyuseu/articles_list.html" # Setup request and view. request = RequestFactory().get('feeds/{}/'.format(feeds.id)) kwargs = {'feeds': feeds.id} view = ArticlesListView.as_view(template_name=template)(request, **kwargs) # Run. # response = view(request) # Check. self.assertEqual(view.status_code, 200) self.assertEqual(view.template_name[0], "nyuseu/articles_list.html") def test_articles_page_one(self): template = "nyuseu/articles_list.html" # Setup request and view. request = RequestFactory().get('/?page=1') view = ArticlesListView.as_view(template_name=template) # Run. response = view(request) # Check. self.assertEqual(response.status_code, 200) self.assertEqual(response.template_name[0], "nyuseu/articles_list.html") class ArticlesDetailViewTestCase(TestCase): def create_articles(self): folder = Folders.objects.create(title="FolderC") title = 'Le Free de la passion' url = 'https://foxmask.github.io/feeds/all.atom.xml' status = True feeds = Feeds.objects.create(folder=folder, title=title, url=url, status=status) title = 'TEST TITLE' image = '' text = 'TEST' read = False article = Articles.objects.create(feeds=feeds, title=title, image=image, text=text, read=read) return article def setUp(self): super(ArticlesDetailViewTestCase, self).setUp() # Every test needs access to the request factory. self.factory = RequestFactory() def test_articles_detail(self): article = self.create_articles() template = "nyuseu/articles_detail.html" # Setup request and view. request = RequestFactory().get('articles/{}/'.format(article.id)) view = ArticlesDetailView.as_view(template_name=template) # Run. response = view(request, pk=article.id) # Check. self.assertEqual(response.status_code, 200) self.assertEqual(response.template_name[0], "nyuseu/articles_detail.html") class ViewFunction(TestCase): def create_articles(self): folder = Folders.objects.create(title="FolderC") title = 'Le Free de la passion' url = 'https://foxmask.github.io/feeds/all.atom.xml' status = True feeds = Feeds.objects.create(folder=folder, title=title, url=url, status=status) title = 'TEST TITLE' image = '' text = 'TEST' read = False article = Articles.objects.create(feeds=feeds, title=title, image=image, text=text, read=read) return article def setUp(self): super(ViewFunction, self).setUp() self.request = RequestFactory().get('/') def test_marked_as_read(self): article = self.create_articles() # Setup request and view. setattr(self.request, 'session', 'session') messages = FallbackStorage(self.request) setattr(self.request, '_messages', messages) response = marked_as_read(request=self.request, article_id=article.id) # Check. self.assertEqual(response.status_code, 302) def test_marked_as_unread(self): article = self.create_articles() # Setup request and view. setattr(self.request, 'session', 'session') messages = FallbackStorage(self.request) setattr(self.request, '_messages', messages) response = marked_as_unread(request=self.request, article_id=article.id) # Check. self.assertEqual(response.status_code, 302) def test_read_later(self): article = self.create_articles() # Setup request and view. setattr(self.request, 'session', 'session') messages = FallbackStorage(self.request) setattr(self.request, '_messages', messages) response = read_later(request=self.request, article_id=article.id) # Check. self.assertEqual(response.status_code, 302) def test_unread_later(self): article = self.create_articles() # Setup request and view. setattr(self.request, 'session', 'session') messages = FallbackStorage(self.request) setattr(self.request, '_messages', messages) response = unread_later(request=self.request, article_id=article.id) # Check. self.assertEqual(response.status_code, 302)

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448b301ed671bfb542b24261be4858e0ba91ffaa

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py

Python

tests/test_cog.py

vlro/terracotta

26ef2f61bd8306fd8fecd27288df6426a6751534

[ "MIT" ]

448

2018-03-06T09:38:42.000Z

2022-03-31T12:58:02.000Z

tests/test_cog.py

vlro/terracotta

26ef2f61bd8306fd8fecd27288df6426a6751534

[ "MIT" ]

154

2018-11-28T08:13:18.000Z

2022-03-31T09:01:26.000Z

tests/test_cog.py

vlro/terracotta

26ef2f61bd8306fd8fecd27288df6426a6751534

[ "MIT" ]

59

2018-12-14T15:41:17.000Z

2022-02-17T23:55:52.000Z

import pytest import affine import rasterio from rasterio.io import MemoryFile from rasterio.shutil import copy from rasterio.enums import Resampling import numpy as np BASE_PROFILE = { 'driver': 'GTiff', 'dtype': 'uint16', 'nodata': 0, 'count': 1, 'crs': {'init': 'epsg:32637'}, 'transform': affine.Affine( 2.0, 0.0, 694920.0, 0.0, -2.0, 2055666.0 ) } def test_validate_optimized(tmpdir): from terracotta import cog outfile = str(tmpdir / 'raster.tif') raster_data = 1000 * np.random.rand(512, 512).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1], tiled=True, blockxsize=256, blockysize=256 ) with MemoryFile() as mf, mf.open(**profile) as dst: dst.write(raster_data, 1) overviews = [2 ** j for j in range(1, 4)] dst.build_overviews(overviews, Resampling.nearest) copy(dst, outfile, copy_src_overviews=True, **profile) assert cog.validate(outfile) def test_validate_optimized_small(tmpdir): from terracotta import cog outfile = str(tmpdir / 'raster.tif') raster_data = 1000 * np.random.rand(128, 128).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1] ) with rasterio.open(outfile, 'w', **profile) as dst: dst.write(raster_data, 1) assert cog.validate(outfile) def test_validate_unoptimized(tmpdir): from terracotta import cog outfile = str(tmpdir / 'raster.tif') raster_data = 1000 * np.random.rand(512, 512).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1] ) with rasterio.open(outfile, 'w', **profile) as dst: dst.write(raster_data, 1) assert not cog.validate(outfile) def test_validate_no_overviews(tmpdir): from terracotta import cog outfile = str(tmpdir / 'raster.tif') raster_data = 1000 * np.random.rand(512, 512).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1], tiled=True, blockxsize=256, blockysize=256 ) with rasterio.open(outfile, 'w', **profile) as dst: dst.write(raster_data, 1) assert not cog.validate(outfile) def test_validate_not_tiled(tmpdir): from terracotta import cog outfile = str(tmpdir / 'raster.tif') raster_data = 1000 * np.random.rand(512, 512).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1] ) with rasterio.open(outfile, 'w', **profile) as dst: dst.write(raster_data, 1) overviews = [2 ** j for j in range(1, 4)] dst.build_overviews(overviews, Resampling.nearest) assert not cog.validate(outfile) def test_validate_wrong_offset(tmpdir): from terracotta import cog outfile = str(tmpdir / 'raster.tif') raster_data = 1000 * np.random.rand(512, 512).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1], tiled=True, blockxsize=256, blockysize=256 ) with rasterio.open(outfile, 'w', **profile) as dst: dst.write(raster_data, 1) overviews = [2 ** j for j in range(1, 4)] dst.build_overviews(overviews, Resampling.nearest) assert not cog.validate(outfile) def test_validate_external_overview(tmpdir): import os from terracotta import cog outfile = str(tmpdir / 'raster.tif') raster_data = 1000 * np.random.rand(512, 512).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1], tiled=True, blockxsize=256, blockysize=256 ) with rasterio.Env(TIFF_USE_OVR=True): with rasterio.open(outfile, 'w', **profile) as dst: dst.write(raster_data, 1) overviews = [2 ** j for j in range(1, 4)] dst.build_overviews(overviews, Resampling.nearest) assert os.path.isfile(f'{outfile}.ovr') assert not cog.validate(outfile) @pytest.mark.filterwarnings("ignore:Dataset has no geotransform set") def test_validate_not_gtiff(tmpdir): from terracotta import cog outfile = str(tmpdir / 'raster.png') raster_data = 1000 * np.random.rand(512, 512).astype(np.uint16) profile = BASE_PROFILE.copy() profile.update( height=raster_data.shape[0], width=raster_data.shape[1], driver='PNG' ) with rasterio.open(outfile, 'w', **profile) as dst: dst.write(raster_data, 1) assert not cog.validate(outfile)

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448b897dfde902dacd8aedc31d7581f16773d4cf

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py

Python

tests/test_customrest.py

hexatester/dapodik

d89c0fb899c89e866527f6b7b57f741abd6444ea

[ "MIT" ]

4

2021-02-01T15:19:35.000Z

2022-01-26T02:47:21.000Z

tests/test_customrest.py

hexatester/dapodik

d89c0fb899c89e866527f6b7b57f741abd6444ea

[ "MIT" ]

3

2020-01-08T17:07:15.000Z

2020-01-08T18:05:12.000Z

tests/test_customrest.py

hexatester/dapodik

d89c0fb899c89e866527f6b7b57f741abd6444ea

[ "MIT" ]

2

2021-08-04T13:48:08.000Z

2021-12-25T02:36:49.000Z

import attr from dapodik.base import BaseDapodik from dapodik.customrest import BaseCustomrest from dapodik.customrest import Wilayah def test_base_customresr(): assert issubclass(BaseCustomrest, BaseDapodik) def test_member(): assert attr.has(Wilayah)

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13,755

py

Python

pyne/tests/test_fluka.py

AllSafeCyberSecur1ty/Nuclear-Engineering

302d6dcc7c0a85a9191098366b076cf9cb5a9f6e

[ "MIT" ]

1

2022-03-26T20:01:13.000Z

pyne/tests/test_fluka.py

AllSafeCyberSecur1ty/Nuclear-Engineering

302d6dcc7c0a85a9191098366b076cf9cb5a9f6e

[ "MIT" ]

null

pyne/tests/test_fluka.py

AllSafeCyberSecur1ty/Nuclear-Engineering

302d6dcc7c0a85a9191098366b076cf9cb5a9f6e

[ "MIT" ]

1

2022-03-26T19:59:13.000Z

#!/usr/bin/python import os import nose.tools from nose.plugins.skip import SkipTest from nose.tools import assert_equal from pyne import fluka # Mesh specific imports from pyne.mesh import Mesh, StatMesh, MeshError, HAVE_PYMOAB # Test Usrbin and UsrbinTally classes def test_single_usrbin(): """Test a usrbin file containing a single tally.""" if not HAVE_PYMOAB: raise SkipTest thisdir = os.path.dirname(__file__) usrbin_file = os.path.join(thisdir, "fluka_usrbin_single.lis") usrbin_object = fluka.Usrbin(usrbin_file) # Test UsrbinTally attributes expected_xbounds = [-3.0, 0.0, 3.0, 6.0] expected_ybounds = [-3.0, -1.0, 1.0, 3.0] expected_zbounds = [-3.0, -2.0, -1.0, 0.0] assert_equal(usrbin_object.tally["single_n"].coord_sys, "Cartesian") assert_equal(usrbin_object.tally["single_n"].name, "single_n") assert_equal(usrbin_object.tally["single_n"].particle, "8") assert_equal(usrbin_object.tally["single_n"].x_bounds, expected_xbounds) assert_equal(usrbin_object.tally["single_n"].y_bounds, expected_ybounds) assert_equal(usrbin_object.tally["single_n"].z_bounds, expected_zbounds) # Test error and part data values match expected_part_data = [ 1.0984e-02, 4.1051e-03, 1.0636e-03, 2.1837e-02, 5.5610e-03, 1.9119e-03, 1.0971e-02, 3.3943e-03, 1.2456e-03, 1.6615e-02, 2.9501e-03, 7.4597e-04, 1.0395e-01, 6.1186e-03, 1.4997e-03, 1.7421e-02, 3.0824e-03, 7.3878e-04, 1.8097e-02, 5.2532e-03, 2.1572e-03, 1.0465e-01, 6.2611e-03, 1.8829e-03, 1.7323e-02, 5.5092e-03, 2.1418e-03, ] expected_error_data = [ 5.0179e00, 1.6521e01, 1.3973e01, 4.2025e00, 8.1766e00, 1.1465e01, 7.2005e00, 1.0479e01, 1.5640e01, 5.5994e00, 1.3275e01, 2.7617e01, 7.3788e-01, 6.7200e00, 1.9092e01, 7.3670e00, 1.3018e01, 2.8866e01, 5.7221e00, 1.5916e01, 2.6001e01, 8.3490e-01, 1.6715e01, 1.2759e01, 5.0763e00, 1.1420e01, 1.0040e01, ] for i, v_e in enumerate( usrbin_object.tally["single_n"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["single_n"].part_data_tag[v_e] assert_equal(usrbin_object.tally["single_n"].part_data_tag.name, "part_data_8") expected = expected_part_data[i] assert_equal(read, expected) for i, v_e in enumerate( usrbin_object.tally["single_n"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["single_n"].error_data_tag[v_e] assert_equal( usrbin_object.tally["single_n"].error_data_tag.name, "error_data_8" ) expected = expected_error_data[i] assert_equal(read, expected) def test_multiple_usrbin(): """Test a usrbin file containing multiple (two) tallies.""" if not HAVE_PYMOAB: raise SkipTest thisdir = os.path.dirname(__file__) usrbin_file = os.path.join(thisdir, "fluka_usrbin_multiple.lis") usrbin_object = fluka.Usrbin(usrbin_file) # Tally #1: # Test UsrbinTally attributes expected_xbounds = [-3.0, 0.0, 3.0, 6.0] expected_ybounds = [-3.0, -1.0, 1.0, 3.0] expected_zbounds = [-3.0, -2.0, -1.0, 0.0] assert_equal(usrbin_object.tally["multi_p"].coord_sys, "Cartesian") assert_equal(usrbin_object.tally["multi_p"].name, "multi_p") assert_equal(usrbin_object.tally["multi_p"].particle, "7") assert_equal(usrbin_object.tally["multi_p"].x_bounds, expected_xbounds) assert_equal(usrbin_object.tally["multi_p"].y_bounds, expected_ybounds) assert_equal(usrbin_object.tally["multi_p"].z_bounds, expected_zbounds) # Test error and part data values match expected_part_data = [ 7.5083e-04, 1.7570e-04, 3.3361e-05, 1.1232e-03, 3.4735e-04, 1.5816e-04, 6.2264e-04, 2.3071e-04, 8.3469e-05, 1.6700e-03, 4.1785e-04, 7.6990e-05, 3.3842e-03, 9.2931e-04, 2.4958e-04, 1.0121e-03, 2.7993e-04, 6.1043e-05, 7.7401e-04, 3.2480e-04, 9.3145e-06, 1.4245e-03, 4.3352e-04, 1.7392e-04, 7.3166e-04, 2.4210e-04, 1.4804e-04, ] expected_error_data = [ 2.2149e01, 7.4509e01, 1.0000e02, 2.4621e01, 4.6383e01, 3.3621e01, 2.1616e01, 7.5885e01, 1.0000e02, 2.0067e01, 3.3654e01, 6.1265e01, 1.8407e01, 1.6239e01, 5.2119e01, 1.5791e01, 3.8452e01, 1.0000e02, 7.6577e00, 3.5290e01, 1.0000e02, 8.3702e00, 5.3283e01, 6.2602e01, 1.1655e01, 6.2289e01, 6.7541e01, ] for i, v_e in enumerate( usrbin_object.tally["multi_p"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["multi_p"].part_data_tag[v_e] assert_equal(usrbin_object.tally["multi_p"].part_data_tag.name, "part_data_7") expected = expected_part_data[i] assert_equal(read, expected) for i, v_e in enumerate( usrbin_object.tally["multi_p"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["multi_p"].error_data_tag[v_e] assert_equal(usrbin_object.tally["multi_p"].error_data_tag.name, "error_data_7") expected = expected_error_data[i] assert_equal(read, expected) # Tally #2: # Test UsrbinTally attributes expected_xbounds = [-3.0, 0.0, 3.0, 6.0] expected_ybounds = [-3.0, -1.0, 1.0, 3.0] expected_zbounds = [-3.0, -2.0, -1.0, 0.0] assert_equal(usrbin_object.tally["multi_n"].coord_sys, "Cartesian") assert_equal(usrbin_object.tally["multi_n"].name, "multi_n") assert_equal(usrbin_object.tally["multi_n"].particle, "8") assert_equal(usrbin_object.tally["multi_n"].x_bounds, expected_xbounds) assert_equal(usrbin_object.tally["multi_n"].y_bounds, expected_ybounds) assert_equal(usrbin_object.tally["multi_n"].z_bounds, expected_zbounds) # Test error and part data values match expected_part_data = [ 1.0984e-02, 4.1051e-03, 1.0636e-03, 2.1837e-02, 5.5610e-03, 1.9119e-03, 1.0971e-02, 3.3943e-03, 1.2456e-03, 1.6615e-02, 2.9501e-03, 7.4597e-04, 1.0395e-01, 6.1186e-03, 1.4997e-03, 1.7421e-02, 3.0824e-03, 7.3878e-04, 1.8097e-02, 5.2532e-03, 2.1572e-03, 1.0465e-01, 6.2611e-03, 1.8829e-03, 1.7323e-02, 5.5092e-03, 2.1418e-03, ] expected_error_data = [ 5.0179e00, 1.6521e01, 1.3973e01, 4.2025e00, 8.1766e00, 1.1465e01, 7.2005e00, 1.0479e01, 1.5640e01, 5.5994e00, 1.3275e01, 2.7617e01, 7.3788e-01, 6.7200e00, 1.9092e01, 7.3670e00, 1.3018e01, 2.8866e01, 5.7221e00, 1.5916e01, 2.6001e01, 8.3490e-01, 1.6715e01, 1.2759e01, 5.0763e00, 1.1420e01, 1.0040e01, ] for i, v_e in enumerate( usrbin_object.tally["multi_n"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["multi_n"].part_data_tag[v_e] assert usrbin_object.tally["multi_n"].part_data_tag.name == "part_data_8" expected = expected_part_data[i] assert_equal(read, expected) for i, v_e in enumerate( usrbin_object.tally["multi_n"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["multi_n"].error_data_tag[v_e] assert usrbin_object.tally["multi_n"].error_data_tag.name == "error_data_8" expected = expected_error_data[i] assert_equal(read, expected) def test_degenerate_usrbin(): """Test usrbin file containing tallies with different number of bins in each direction. """ if not HAVE_PYMOAB: raise SkipTest thisdir = os.path.dirname(__file__) usrbin_file = os.path.join(thisdir, "fluka_usrbin_degenerate.lis") usrbin_object = fluka.Usrbin(usrbin_file) # Tally #1: # Test UsrbinTally attributes expected_xbounds = [-3.0, 0.0, 3.0, 6.0] expected_ybounds = [-3.0, 0.0, 3.0] expected_zbounds = [-3.0, 0.0] assert_equal(usrbin_object.tally["degen1"].coord_sys, "Cartesian") assert_equal(usrbin_object.tally["degen1"].name, "degen1") assert_equal(usrbin_object.tally["degen1"].particle, "8") assert_equal(usrbin_object.tally["degen1"].x_bounds, expected_xbounds) assert_equal(usrbin_object.tally["degen1"].y_bounds, expected_ybounds) assert_equal(usrbin_object.tally["degen1"].z_bounds, expected_zbounds) # Test error and part data values match expected_part_data = [ 3.5279e-02, 4.7334e-03, 1.4458e-03, 3.6242e-02, 4.6521e-03, 1.5292e-03, ] expected_error_data = [ 1.2016e00, 6.4313e00, 7.7312e00, 2.0235e00, 9.4199e00, 8.0514e00, ] for i, v_e in enumerate( usrbin_object.tally["degen1"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["degen1"].part_data_tag[v_e] assert usrbin_object.tally["degen1"].part_data_tag.name == "part_data_8" expected = expected_part_data[i] assert_equal(read, expected) for i, v_e in enumerate( usrbin_object.tally["degen1"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["degen1"].error_data_tag[v_e] assert usrbin_object.tally["degen1"].error_data_tag.name == "error_data_8" expected = expected_error_data[i] assert_equal(read, expected) # Tally #2: # Test UsrbinTally attributes expected_xbounds = [-3.0, 1.5, 6.0] expected_ybounds = [-3.0, 3.0] expected_zbounds = [-3.0, -2.0, -1.0, 0.0] assert_equal(usrbin_object.tally["degen2"].coord_sys, "Cartesian") assert_equal(usrbin_object.tally["degen2"].name, "degen2") assert_equal(usrbin_object.tally["degen2"].particle, "8") assert_equal(usrbin_object.tally["degen2"].x_bounds, expected_xbounds) assert_equal(usrbin_object.tally["degen2"].y_bounds, expected_ybounds) assert_equal(usrbin_object.tally["degen2"].z_bounds, expected_zbounds) # Test error and part data values match expected_part_data = [ 1.1543e-02, 2.0295e-03, 3.2603e-02, 1.4229e-03, 3.3492e-02, 2.7923e-03, ] expected_error_data = [ 2.7321e00, 5.2342e00, 7.4679e-01, 4.2862e00, 1.3090e00, 1.4151e01, ] for i, v_e in enumerate( usrbin_object.tally["degen2"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["degen2"].part_data_tag[v_e] assert usrbin_object.tally["degen2"].part_data_tag.name == "part_data_8" expected = expected_part_data[i] assert_equal(read, expected) for i, v_e in enumerate( usrbin_object.tally["degen2"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["degen2"].error_data_tag[v_e] assert usrbin_object.tally["degen2"].error_data_tag.name == "error_data_8" expected = expected_error_data[i] assert_equal(read, expected) # Tally #3: # Test UsrbinTally attributes expected_xbounds = [-3.0, 6.0] expected_ybounds = [-3.0, -1.0, 1.0, 3.0] expected_zbounds = [-3.0, -1.5, 0.0] assert_equal(usrbin_object.tally["degen3"].coord_sys, "Cartesian") assert_equal(usrbin_object.tally["degen3"].name, "degen3") assert_equal(usrbin_object.tally["degen3"].particle, "8") assert_equal(usrbin_object.tally["degen3"].x_bounds, expected_xbounds) assert_equal(usrbin_object.tally["degen3"].y_bounds, expected_ybounds) assert_equal(usrbin_object.tally["degen3"].z_bounds, expected_zbounds) # Test error and part data values match expected_part_data = [ 5.8037e-03, 1.3260e-02, 5.6046e-03, 7.9677e-03, 4.3111e-02, 8.1349e-03, ] expected_error_data = [ 6.1913e00, 2.3684e00, 4.6124e00, 3.2523e00, 1.3714e00, 4.3161e00, ] for i, v_e in enumerate( usrbin_object.tally["degen3"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["degen3"].part_data_tag[v_e] assert usrbin_object.tally["degen3"].part_data_tag.name == "part_data_8" expected = expected_part_data[i] assert_equal(read, expected) for i, v_e in enumerate( usrbin_object.tally["degen3"].structured_iterate_hex("zyx") ): read = usrbin_object.tally["degen3"].error_data_tag[v_e] assert usrbin_object.tally["degen3"].error_data_tag.name == "error_data_8" expected = expected_error_data[i] assert_equal(read, expected) # test file writing to catch upstream changes in mesh def test_mesh_write(): if not HAVE_PYMOAB: raise SkipTest thisdir = os.path.dirname(__file__) usrbin_file = os.path.join(thisdir, "fluka_usrbin_single.lis") usrbin_object = fluka.Usrbin(usrbin_file) data = usrbin_object.tally["single_n"] data.write_hdf5("test_fluka_data.h5m")

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925055150527191de22b372bad8f3d205df1a42c

4,742

py

Python

tt/test/test_datatable.py

anthonyoteri/timetrack2

3d246f640647ff9e231b37eefb5d75ca4186efcd

[ "BSD-3-Clause" ]

null

tt/test/test_datatable.py

anthonyoteri/timetrack2

3d246f640647ff9e231b37eefb5d75ca4186efcd

[ "BSD-3-Clause" ]

68

2018-01-30T13:57:25.000Z

2018-05-02T16:08:08.000Z

tt/test/test_datatable.py

anthonyoteri/timetrack2

3d246f640647ff9e231b37eefb5d75ca4186efcd

[ "BSD-3-Clause" ]

null

# Copyright (C) 2018, Anthony Oteri # All rights reserved from tt.datatable import Datatable from unittest import mock def test_basic_table(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable(table=rows) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["1", "2", "3"], ["4", "5", "6"]] def test_basic_table_append(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable() for r in rows: t.append(r) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["1", "2", "3"], ["4", "5", "6"]] def test_basic_table_labels(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable(table=rows, labels=["row_0", "row_1"]) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["Row_0", "1", "2", "3"], ["Row_1", "4", "5", "6"]] def test_basic_table_append_with_labels(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable() for i, r in enumerate(rows): t.append(r, label="row_%d" % i) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["Row_0", "1", "2", "3"], ["Row_1", "4", "5", "6"]] def test_basic_table_not_enough_labels(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable(table=rows, labels=["row_0"]) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["Row_0", "1", "2", "3"], [None, "4", "5", "6"]] def test_basic_table_summary(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable(table=rows, summaries=["row_0", "row_1"], summary_header="summary") headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3", "summary"] assert table == [["1", "2", "3", "row_0"], ["4", "5", "6", "row_1"]] def test_basic_table_append_with_summary(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable() for i, r in enumerate(rows): t.append(r, summary="row_%d" % i) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["1", "2", "3", "row_0"], ["4", "5", "6", "row_1"]] def test_basic_table_not_enough_summaries(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable(table=rows, summaries=["row_0"]) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["1", "2", "3", "row_0"], ["4", "5", "6", None]] def test_basic_table_missing_values(): rows = [{"col_1": "1", "col_3": "3"}, {"col_2": "5", "col_3": "6"}] t = Datatable(table=rows) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3"] assert table == [["1", None, "3"], [None, "5", "6"]] def test_basic_table_extra_column(): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] t = Datatable(table=rows, headers=["col_1", "col_2", "col_3", "col_4"]) headers, table = t._make() assert headers == ["Col_1", "Col_2", "Col_3", "Col_4"] assert table == [["1", "2", "3", None], ["4", "5", "6", None]] @mock.patch("tabulate.tabulate") def test_table_string_conversion(tabulate, mocker): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] table_fmt = mocker.MagicMock() t = Datatable(table=rows, table_fmt=table_fmt) tabulate.return_value = "" str(t) headers = ["Col_1", "Col_2", "Col_3"] table = [["1", "2", "3"], ["4", "5", "6"]] tabulate.assert_called_once_with(table, headers, tablefmt=table_fmt) @mock.patch("tabulate.tabulate") def test_table_string_conversion_with_caption(tabulate, mocker): rows = [ {"col_1": "1", "col_2": "2", "col_3": "3"}, {"col_1": "4", "col_2": "5", "col_3": "6"}, ] table_fmt = mocker.MagicMock() t = Datatable(table=rows, table_fmt=table_fmt) t.caption = "Foo" tabulate.return_value = "Bar" assert "Foo\nBar" == str(t)

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py

Python

tests/test_code/py/subset_find_exception/zero.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

1

2022-03-16T13:44:35.000Z

tests/test_code/py/subset_find_exception/zero.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

null

tests/test_code/py/subset_find_exception/zero.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

null

def private(): pass class Abra: def other(): private()

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2beebd4d3a25c80fdd642652ef4fdba1a26d0c17

41

py

Python

patheng/__init__.py

kamakazikamikaze/patheng

956237bb50259d2536d772302dda6ecf8901b4a0

[ "Unlicense" ]

null

patheng/__init__.py

kamakazikamikaze/patheng

956237bb50259d2536d772302dda6ecf8901b4a0

[ "Unlicense" ]

null

patheng/__init__.py

kamakazikamikaze/patheng

956237bb50259d2536d772302dda6ecf8901b4a0

[ "Unlicense" ]

null

from . import elk, utils, crypto, oauth2

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1

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6

a600e4270c26cf31d45d138f16a50b5679bb7805

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py

Python

tools/processor/engines/lib/__init__.py

Skarlett/tumblr_boobs

bdbb7ebabfb6d6290ce830f6c4b32711f2911d6a

[ "MIT" ]

null

tools/processor/engines/lib/__init__.py

Skarlett/tumblr_boobs

bdbb7ebabfb6d6290ce830f6c4b32711f2911d6a

[ "MIT" ]

null

tools/processor/engines/lib/__init__.py

Skarlett/tumblr_boobs

bdbb7ebabfb6d6290ce830f6c4b32711f2911d6a

[ "MIT" ]

null

from . import imagehash

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null

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1

0

1

0

6

a62a916cbf34239ac1ef60a49e9b83e93b4cc309

1,217

py

Python

agent_admin_sdk/client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

5

2019-07-31T04:11:05.000Z

2021-01-07T03:23:20.000Z

agent_admin_sdk/client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

null

agent_admin_sdk/client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import agent_admin_sdk.api.admin_task.admin_task_client import agent_admin_sdk.api.agent.agent_client import agent_admin_sdk.api.org.org_client import agent_admin_sdk.api.org_init.org_init_client import agent_admin_sdk.api.plugin.plugin_client import agent_admin_sdk.api.plugin_version.plugin_version_client class Client(object): def __init__(self, server_ip="", server_port=0, service_name=""): self.admin_task = agent_admin_sdk.api.admin_task.admin_task_client.AdminTaskClient(server_ip, server_port, service_name) self.agent = agent_admin_sdk.api.agent.agent_client.AgentClient(server_ip, server_port, service_name) self.org = agent_admin_sdk.api.org.org_client.OrgClient(server_ip, server_port, service_name) self.org_init = agent_admin_sdk.api.org_init.org_init_client.OrgInitClient(server_ip, server_port, service_name) self.plugin = agent_admin_sdk.api.plugin.plugin_client.PluginClient(server_ip, server_port, service_name) self.plugin_version = agent_admin_sdk.api.plugin_version.plugin_version_client.PluginVersionClient(server_ip, server_port, service_name)

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null

0

1

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1

0

6

a65943876f77c68f170860bc377af66b6737a2b7

43

py

Python

sewer/http_providers/__init__.py

aphexer/sewer

1012d76349c6a369132c6b0201d5fc3322072f4c

[ "MIT" ]

null

sewer/http_providers/__init__.py

aphexer/sewer

1012d76349c6a369132c6b0201d5fc3322072f4c

[ "MIT" ]

null

sewer/http_providers/__init__.py

aphexer/sewer

1012d76349c6a369132c6b0201d5fc3322072f4c

[ "MIT" ]

null

from .common import BaseHttp # noqa: F401

21.5

42

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null

0

1

0

1

0

1

0

6

a6cb637a32c30bdb8286f5f2422fc36dfaa23f49

184

py

Python

tests/experimental-features/environment.py

stevegibson/behave-webdriver

c0130bb59217d5a32a44efe9d9c588851a7b9f58

[ "MIT" ]

null

tests/experimental-features/environment.py

stevegibson/behave-webdriver

c0130bb59217d5a32a44efe9d9c588851a7b9f58

[ "MIT" ]

null

tests/experimental-features/environment.py

stevegibson/behave-webdriver

c0130bb59217d5a32a44efe9d9c588851a7b9f58

[ "MIT" ]

null

from behave_webdriver import BehaveDriver def before_all(context): context.behave_driver = BehaveDriver.headless_chrome() def after_all(context): context.behave_driver.quit()

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6

4700533085bb891e8070034702468cd15220387e

249

py

Python

examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py

rpatil524/dagster

6f918d94cbd543ab752ab484a65e3a40fd441716

[ "Apache-2.0" ]

4,606

2018-06-21T17:45:20.000Z

2022-03-31T23:39:42.000Z

examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py

rpatil524/dagster

6f918d94cbd543ab752ab484a65e3a40fd441716

[ "Apache-2.0" ]

6,221

2018-06-12T04:36:01.000Z

2022-03-31T21:43:05.000Z

examples/docs_snippets/docs_snippets/concepts/partitions_schedules_sensors/schedule_from_partitions.py

rpatil524/dagster

6f918d94cbd543ab752ab484a65e3a40fd441716

[ "Apache-2.0" ]

619

2018-08-22T22:43:09.000Z

2022-03-31T22:48:06.000Z

"""isort:skip_file""" from .partitioned_job import do_stuff_partitioned # start_marker from dagster import build_schedule_from_partitioned_job do_stuff_partitioned_schedule = build_schedule_from_partitioned_job(do_stuff_partitioned) # end_marker

24.9

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null

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1

0

1

0

6

4714102eff9848074a5d3fea3ea31ecabbd7c603

177

py

Python

tests/components/default_config/conftest.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/default_config/conftest.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

tests/components/default_config/conftest.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""default_config session fixtures.""" import pytest @pytest.fixture(autouse=True) def default_config_mock_async_zeroconf(mock_async_zeroconf): """Auto mock zeroconf."""

19.666667

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1

0

1

0

6

5b320a772745ff439dd87cb2e156a326154b897a

269

py

Python

snmpagent_unity/unity_impl/PoolRaidLevels.py

factioninc/snmp-unity-agent

3525dc0fac60d1c784dcdd7c41693544bcbef843

[ "Apache-2.0" ]

2

2019-03-01T11:14:59.000Z

2019-10-02T17:47:59.000Z

snmpagent_unity/unity_impl/PoolRaidLevels.py

factioninc/snmp-unity-agent

3525dc0fac60d1c784dcdd7c41693544bcbef843

[ "Apache-2.0" ]

2

2019-03-01T11:26:29.000Z

2019-10-11T18:56:54.000Z

snmpagent_unity/unity_impl/PoolRaidLevels.py

factioninc/snmp-unity-agent

3525dc0fac60d1c784dcdd7c41693544bcbef843

[ "Apache-2.0" ]

1

2019-10-03T21:09:17.000Z

class PoolRaidLevels(object): def read_get(self, name, idx_name, unity_client): return unity_client.get_pool_raid_levels(idx_name) class PoolRaidLevelsColumn(object): def get_idx(self, name, idx, unity_client): return unity_client.get_pools()

29.888889

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0.747212

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269

5.108108

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0.232804

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8

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1

0

null

0

1

0

1

0

6

5b50bd49d0f319efdbee540aa7b5b1a6d4e7be51

67

py

Python

qmotor/message/__init__.py

yulinfeng000/qmotor

ad3e9eea291f5b87e09fcdd5e42f1eb13d752565

[ "MIT" ]

null

qmotor/message/__init__.py

yulinfeng000/qmotor

ad3e9eea291f5b87e09fcdd5e42f1eb13d752565

[ "MIT" ]

null

qmotor/message/__init__.py

yulinfeng000/qmotor

ad3e9eea291f5b87e09fcdd5e42f1eb13d752565

[ "MIT" ]

null

from .common import * from .matcher import * from .builder import *

22.333333

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5.555556

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0.4

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true

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0

null

0

1

0

1

0

1

0

6

5b6b00405a78b2f835ea67732a929c0b3ad3172b

42

py

Python

thespian/__init__.py

dendron2000/Thespian

0acbc5a0803f6d2be3421ea6eb08c6beecbf3802

[ "MIT" ]

210

2015-08-31T19:39:34.000Z

2020-01-10T08:07:48.000Z

thespian/__init__.py

dendron2000/Thespian

0acbc5a0803f6d2be3421ea6eb08c6beecbf3802

[ "MIT" ]

85

2017-04-08T19:28:42.000Z

2022-03-23T15:25:49.000Z

thespian/__init__.py

dendron2000/Thespian

0acbc5a0803f6d2be3421ea6eb08c6beecbf3802

[ "MIT" ]

47

2015-09-01T19:24:20.000Z

2020-01-02T20:03:05.000Z

"Actor System for concurrent execution."

14

40

0.785714

5

42

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1

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2

41

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true

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null

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0

1

0

1

0

null

0

1

0

6

5b7b5fbf0c4582cdbe06b98044a020bcfc799c08

154

py

Python

daiquiri/exceptions.py

aipescience/daiquiri-admin

63d93bbbee0617178deb2e329e294c447d44137c

[ "Apache-2.0" ]

null

daiquiri/exceptions.py

aipescience/daiquiri-admin

63d93bbbee0617178deb2e329e294c447d44137c

[ "Apache-2.0" ]

null

daiquiri/exceptions.py

aipescience/daiquiri-admin

63d93bbbee0617178deb2e329e294c447d44137c

[ "Apache-2.0" ]

null

class DaiquiriException(Exception): def __init__(self, errors): self.errors = errors def __str__(self): return repr(self.errors)

22

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false

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0

1

0

null

0

1

0

1

0

6

5b9949671e74aec3cfcb695b8712b55493527378

13,248

py

Python

update_evolution_markets.py

youth4ever/bittrex

9d6b70f81b74df7377d39414408eb0d8a4ed8b15

[ "MIT" ]

null

update_evolution_markets.py

youth4ever/bittrex

9d6b70f81b74df7377d39414408eb0d8a4ed8b15

[ "MIT" ]

null

update_evolution_markets.py

youth4ever/bittrex

9d6b70f81b74df7377d39414408eb0d8a4ed8b15

[ "MIT" ]

null

# Created by Bogdan Trif on 25-01-2018 , 7:10 PM. import time import pymysql from conf.db_conn import * from includes.DB_functions import * from includes.app_functions import * t1 = time.time() debug_level = 0 date = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime() ) connection = pymysql.connect( host= HOST, port=3306, user=USER, passwd=PASSWD, db=DB1 ) cur = connection.cursor() update_evolution_table_log = 'tmp/update_evolution_table.log' valid_MARKETS = 'tmp/valid_Markets.txt' t2 = time.time() file_append_with_text(update_evolution_table_log, str(date)+ ' update _evolution MARKETS read_file_line_by_line took ' + str(round((t2-t1)*1000,2)) + ' ms' ) def update_evolution_market(market): prep_MarketQuery = 'SELECT id, last_price, buy_vs_sell, volume FROM `market_name` ORDER BY ID DESC LIMIT 1;' prep_MarketResult = cur.execute(prep_MarketQuery.replace('market_name', market)) if prep_MarketResult == 1 : row = cur.fetchone() # if debug_level >= 2 : print('row : ', row ) last_id = row[0] last_price = float(row[1]) last_BuyVsSell = float( row[2] ) last_Vol = float(row[3]) ######### Updating / CREATING the rows MARKETS to the _evolution table ################# prep_evolutionSelect = "select market, pr_ch_1m from _evolution where market = 'market_name' ;" # if debug_level >= 3 : print('prep_evolutionSelect --->', prep_evolutionSelect ) try : prep_evolutionResult = cur.execute(prep_evolutionSelect.replace('market_name', market)) # if debug_level >= 3 : print('prep_evolutionResult --> ', prep_evolutionResult ) ##### If there is no row in evolution table, insert one if prep_evolutionResult == 0 : # if debug_level >= 3 : # print('there is no such row in the evolution table. THIS WILL BE CREATED RIGHT NOW !' ) createRowQuery = QUERIES['evolution_initial_insert'] # if debug_level >= 3 : print(' createRowQuery --> ', createRowQuery) createRowResult = cur.execute( createRowQuery , (market ) ) # if debug_level >= 3 : print('=== createRowResult ', createRowResult) # connection.commit() ##### If there is a table UPDATE the existing values in the row market : elif prep_evolutionResult == 1 : # if debug_level >= 3 : print('We will update all the values up to the corresponding times') first_market_query = cur.execute(QUERIES['first_market_row'].replace('market_name' , market) ) market_first_id = cur.fetchone()[0] # if debug_level >= 3 : print('market_first_id = ', market_first_id ) last_market_query = cur.execute(QUERIES['last_market_row'].replace('market_name' , market) ) market_last_id = cur.fetchone()[0] # if debug_level >= 3 : print('market_last_id = ', market_last_id ) max_time_diff = market_last_id - market_first_id ##### DO THE UPDATES : i = 0 PR_CH, BvS_CH = [], [] upd_ch_Str = '' while Times[i] <= max_time_diff : # if debug_level >= 3 : print(Times[i],' ', Periods[i]) value_behind = market_last_id-Times[i] # if debug_level >= 3 : print('value of the price / BuyvsSell behind = ', value_behind ) #### FIRST SELECT OLD VALUES : ############### price_and_buy_vs_sell_select = cur.execute( QUERIES['custom_price_and_buy_vs_sell_market'].replace('market_name', market), value_behind ) ######## PRICE & BUY_VS_SELL CHANGE ######### # if debug_level >= 4 : print(' price_and_buy_vs_sell_select ----------->', price_and_buy_vs_sell_select ) rowa = cur.fetchone() previous_price, previous_buy_vs_sell = float(rowa[0]), float(rowa[1]) # if debug_level >= 3 : print('previous_price, previous_buy_vs_sell = ', previous_price, previous_buy_vs_sell ) priceChange = round( (( float(last_price) - previous_price ) / previous_price) * 100 , 2) buy_vs_sellChange = round( (( float(last_BuyVsSell) - previous_buy_vs_sell ) / previous_buy_vs_sell) * 100 , 2) # if debug_level >= 3 : # print('previous_price = ', previous_price, ' the most recent price = ', last_price , ' priceChange = ' , priceChange ) # print('previous_buy_vs_sell = ', previous_buy_vs_sell, ' the most recent buy_vs_sell = ', last_BuyVsSell , ' buy_vs_sellChange = ' , buy_vs_sellChange ) PR_CH.append(priceChange) BvS_CH.append(buy_vs_sellChange) upd_ch_Str += 'pr_ch_'+str(Periods[i])+' = %s,' i+=1 # if debug_level >= 3 : print('PR_CH = ', PR_CH ,' BvS_CH = ', BvS_CH) ########## CONSTRUCTING THE UPDATE QUERY , WE WILL UPDATE ALL Fields ONLY ONCE ! Like in example bellow : ## UPDATE `_evolution` SET pr_ch_2m=1.23, pr_ch_5m=-0.78 WHERE market='BTC-1ST'; upd_BvS_Str = upd_ch_Str.replace('pr_ch_', 'BvsS_ch_') upd_BvS_Str = upd_BvS_Str.rstrip(',') update_Str = upd_ch_Str + upd_BvS_Str # print('update_Str : ', update_Str, '\n') update_evolution_Query = "UPDATE `_evolution` SET " + update_Str + " WHERE market='market_name';" # if debug_level >= 3 : print('update_evolution_Query : ', update_evolution_Query) VALUES_tuple = tuple(PR_CH) + tuple(BvS_CH) # if debug_level >= 3 : print('VALUES tuple :::: ', VALUES_tuple ) update_evolution_market = cur.execute(update_evolution_Query.replace('market_name', market) , VALUES_tuple ) except : # if debug_level >= 3 : print('To complete afterwards') with open(valid_MARKETS, 'r') as f : for cnt, line in enumerate(f) : market = line.rstrip('\n') if debug_level >= 1 : print(str(cnt+1),'. ', market ) update_evolution_market(market) # # # prep_MarketQuery = 'SELECT id, last_price, buy_vs_sell, volume FROM `market_name` ORDER BY ID DESC LIMIT 1;' # prep_MarketResult = cur.execute(prep_MarketQuery.replace('market_name', market)) # if prep_MarketResult == 1 : # row = cur.fetchone() # if debug_level >= 2 : print('row : ', row ) # # last_id = row[0] # last_price = float(row[1]) # last_BuyVsSell = float( row[2] ) # last_Vol = float(row[3]) # # # # ######### Updating / CREATING the rows MARKETS to the _evolution table ################# # prep_evolutionSelect = "select market, pr_ch_1m from _evolution where market = 'market_name' ;" # if debug_level >= 3 : print('prep_evolutionSelect --->', prep_evolutionSelect ) # try : # prep_evolutionResult = cur.execute(prep_evolutionSelect.replace('market_name', market)) # if debug_level >= 3 : print('prep_evolutionResult --> ', prep_evolutionResult ) # # ##### If there is no row in evolution table, insert one # if prep_evolutionResult == 0 : # if debug_level >= 3 : # print('there is no such row in the evolution table. THIS WILL BE CREATED RIGHT NOW !' ) # createRowQuery = QUERIES['evolution_initial_insert'] # if debug_level >= 3 : # print(' createRowQuery --> ', createRowQuery) # createRowResult = cur.execute( createRowQuery , (market ) ) # if debug_level >= 3 : # print('=== createRowResult ', createRowResult) # connection.commit() # # # # ##### If there is a table UPDATE the existing values in the row market : # elif prep_evolutionResult == 1 : # if debug_level >= 3 : # print('We will update all the values up to the corresponding times') # # first_market_query = cur.execute(QUERIES['first_market_row'].replace('market_name' , market) ) # market_first_id = cur.fetchone()[0] # if debug_level >= 3 : print('market_first_id = ', market_first_id ) # # last_market_query = cur.execute(QUERIES['last_market_row'].replace('market_name' , market) ) # market_last_id = cur.fetchone()[0] # if debug_level >= 3 : print('market_last_id = ', market_last_id ) # # max_time_diff = market_last_id - market_first_id # # ##### DO THE UPDATES : # i = 0 # PR_CH, BvS_CH = [], [] # upd_ch_Str = '' # while Times[i] <= max_time_diff : # if debug_level >= 3 : print(Times[i],' ', Periods[i]) # value_behind = market_last_id-Times[i] # if debug_level >= 3 : print('value of the price / BuyvsSell behind = ', value_behind ) # # #### FIRST SELECT OLD VALUES : ############### # price_and_buy_vs_sell_select = cur.execute( QUERIES['custom_price_and_buy_vs_sell_market'].replace('market_name', market), value_behind ) # ######## PRICE & BUY_VS_SELL CHANGE ######### # if debug_level >= 4 : print(' price_and_buy_vs_sell_select ----------->', price_and_buy_vs_sell_select ) # rowa = cur.fetchone() # previous_price, previous_buy_vs_sell = float(rowa[0]), float(rowa[1]) # if debug_level >= 3 : print('previous_price, previous_buy_vs_sell = ', previous_price, previous_buy_vs_sell ) # # priceChange = round( (( float(last_price) - previous_price ) / previous_price) * 100 , 2) # buy_vs_sellChange = round( (( float(last_BuyVsSell) - previous_buy_vs_sell ) / previous_buy_vs_sell) * 100 , 2) # # if debug_level >= 3 : # print('previous_price = ', previous_price, ' the most recent price = ', last_price , ' priceChange = ' , priceChange ) # print('previous_buy_vs_sell = ', previous_buy_vs_sell, ' the most recent buy_vs_sell = ', last_BuyVsSell , ' buy_vs_sellChange = ' , buy_vs_sellChange ) # # PR_CH.append(priceChange) # BvS_CH.append(buy_vs_sellChange) # upd_ch_Str += 'pr_ch_'+str(Periods[i])+' = %s,' # # # i+=1 # # if debug_level >= 3 : print('PR_CH = ', PR_CH ,' BvS_CH = ', BvS_CH) # # ########## CONSTRUCTING THE UPDATE QUERY , WE WILL UPDATE ALL Fields ONLY ONCE ! Like in example bellow : # ## UPDATE `_evolution` SET pr_ch_2m=1.23, pr_ch_5m=-0.78 WHERE market='BTC-1ST'; # # upd_BvS_Str = upd_ch_Str.replace('pr_ch_', 'BvsS_ch_') # upd_BvS_Str = upd_BvS_Str.rstrip(',') # update_Str = upd_ch_Str + upd_BvS_Str # # print('update_Str : ', update_Str, '\n') # update_evolution_Query = "UPDATE `_evolution` SET " + update_Str + " WHERE market='market_name';" # # if debug_level >= 3 : print('update_evolution_Query : ', update_evolution_Query) # VALUES_tuple = tuple(PR_CH) + tuple(BvS_CH) # # if debug_level >= 3 : print('VALUES tuple :::: ', VALUES_tuple ) # update_evolution_market = cur.execute(update_evolution_Query.replace('market_name', market) , VALUES_tuple ) # # # # # # # except : # if debug_level >= 3 : # print('To complete afterwards') connection.commit() t3 = time.time() file_append_with_text(update_evolution_table_log, str(date)+ ' _evolution table UPDATE took ' + str(round((t3-t2)*1000,2)) + ' ms' ) file_append_with_text(update_evolution_table_log, '---'*30 ) connection.close()

51.548638

190

0.530571

1,441

13,248

4.563498

0.129771

0.057786

0.067518

0.06326

0.909519

0.903285

0

0.016137

0.354469

13,248

256

191

51.75

0.752806

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0

0.111978

0.028412

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false

0.014925

0.074627

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0.089552

0.029851

0

null

0

1

0

null

0

6

5bac72a378e411fc11d06f0cd1fa9428a642f70a

66

py

Python

acq4/analysis/tools/poissonScore/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

47

2015-01-05T16:18:10.000Z

2022-03-16T13:09:30.000Z

acq4/analysis/tools/poissonScore/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

48

2015-04-19T16:51:41.000Z

2022-03-31T14:48:16.000Z

acq4/analysis/tools/poissonScore/__init__.py

sensapex/acq4

9561ba73caff42c609bd02270527858433862ad8

[ "MIT" ]

32

2015-01-15T14:11:49.000Z

2021-07-15T13:44:52.000Z

from __future__ import print_function from .poissonScore import *

22

37

0.848485

8

66

6.375

0.75

0

0.121212

66

2

38

33

0.87931

0

1

0

true

0

1

0

1

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f348a58e791f17d20237fb104fe99ee9fe0419f5

170

py

Python

Important-Backend/pluscodedecoder.py

taaaahahaha/SIH-Ignite

91cc84f34825fc5c0cf8c1ef2e2698b1020a1ae1

[ "MIT" ]

null

Important-Backend/pluscodedecoder.py

taaaahahaha/SIH-Ignite

91cc84f34825fc5c0cf8c1ef2e2698b1020a1ae1

[ "MIT" ]

null

Important-Backend/pluscodedecoder.py

taaaahahaha/SIH-Ignite

91cc84f34825fc5c0cf8c1ef2e2698b1020a1ae1

[ "MIT" ]

null

import openlocationcode openlocationcode.decode('8F6CCQCW+2F') # [34.42, 8.796125, 34.420125, 8.79625, 34.4200625, 8.7961875, 10] # openlocationcode.decode('7JFJ4V47+PH')

42.5

66

0.764706

23

170

5.652174

0.695652

0.338462

0

0.322785

0.070588

170

4

67

42.5

0.5

0.605882

0

0.169231

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

6

f35132a119852ddb054ec81ac665a34cd0fdf0e9

167

py

Python

pyllusion/psychopy/__init__.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

pyllusion/psychopy/__init__.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

pyllusion/psychopy/__init__.py

RebeccaHirst/Pyllusion

9944076e38bced0eabb49c607482b71809150bdb

[ "MIT" ]

null

""" Pyllusion submodule. """ from .psychopy_line import psychopy_line from .psychopy_circles import psychopy_circle from .psychopy_rectangle import psychopy_rectangle

23.857143

50

0.844311

20

167

6.75

0.45

0.266667

0

0.095808

167

6

51

27.833333

0.89404

0.11976

0

1

0

true

0

1

0

1

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1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

f35722427c11be156da9bffcb3b983df53536ac3

324

py

Python

asserts/sourse/test_base_app.py

gresm/pygame_february

e6a59ba3a98d1d12bbbf13e30e676fd52721abb6

[ "Apache-2.0" ]

2

2021-04-07T12:47:47.000Z

2021-04-08T10:40:02.000Z

asserts/sourse/test_base_app.py

gresm/pygame_february

e6a59ba3a98d1d12bbbf13e30e676fd52721abb6

[ "Apache-2.0" ]

null

asserts/sourse/test_base_app.py

gresm/pygame_february

e6a59ba3a98d1d12bbbf13e30e676fd52721abb6

[ "Apache-2.0" ]

1

2021-04-04T14:57:41.000Z

from unittest import TestCase class TestBaseApp(TestCase): def test_run(self): pass def test_loop(self): pass def test_handle_input(self): pass def test_check_events(self): pass def test_handle_event(self): pass def test_key_pressed(self): pass

14.727273

32

0.617284

41

324

4.634146

0.463415

0.221053

0.289474

0.394737

0.221053

0

0.317901

324

21

33

15.428571

0.859729

0

0.428571

0

1

0.428571

false

0.428571

0.071429

0

0.571429

0

null

1

0

null

0

1

0

1

0

1

0

6

f377c94809000c9e51ccf4374552bce10f13dffb

70

py

Python

example/test_all.py

waiteperspectives/Morelia

e6e6180d688c6bdf538f6b43a97755c76329646a

[ "MIT" ]

17

2015-11-18T02:49:47.000Z

2019-12-22T08:46:26.000Z

example/test_all.py

waiteperspectives/Morelia

e6e6180d688c6bdf538f6b43a97755c76329646a

[ "MIT" ]

230

2015-04-28T16:48:20.000Z

2022-03-25T13:01:07.000Z

example/test_all.py

waiteperspectives/Morelia

e6e6180d688c6bdf538f6b43a97755c76329646a

[ "MIT" ]

8

2015-04-16T07:45:35.000Z

2019-06-20T17:09:49.000Z

from test_acceptance import * # noqa from test_unit import * # noqa

23.333333

37

0.742857

10

70

5

0.6

0.32

0

0.2

70

2

38

35

0.892857

0.128571

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

f3c988bf69533063a1949c4c935878ce6cc8183c

80

py

Python

bert/etl/security.py

jbcurtin/bert

956e1647b590ac13b679579231b085895778d807

[ "MIT" ]

2

2019-08-28T21:39:50.000Z

2019-12-17T10:53:28.000Z

bert/etl/security.py

jbcurtin/bert

956e1647b590ac13b679579231b085895778d807

[ "MIT" ]

19

2019-09-04T21:19:12.000Z

2021-03-28T22:10:32.000Z

bert/etl/security.py

jbcurtin/bert

956e1647b590ac13b679579231b085895778d807

[ "MIT" ]

1

2019-08-28T21:39:53.000Z

import enum class AccessLevel(enum.Enum): PUBLIC_READ: str = 'public-read'

16

36

0.725

11

80

5.181818

0.636364

0.350877

0

0.1625

80

4

37

20

0.850746

0

0.1375

0

1

0

true

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

344feefc2f2389cc0134f488b74560650e430245

17,895

py

Python

donkeycar/parts/ml/keras.py

alanwells/donkey

8ea6d255266923fa819e04bc7c6b37800184bb22

[ "MIT" ]

null

donkeycar/parts/ml/keras.py

alanwells/donkey

8ea6d255266923fa819e04bc7c6b37800184bb22

[ "MIT" ]

null

donkeycar/parts/ml/keras.py

alanwells/donkey

8ea6d255266923fa819e04bc7c6b37800184bb22

[ "MIT" ]

1

2018-11-07T12:06:09.000Z

''' pilots.py Methods to create, use, save and load pilots. Pilots contain the highlevel logic used to determine the angle and throttle of a vehicle. Pilots can include one or more models to help direct the vehicles motion. ''' import os import numpy as np import keras from ... import utils import donkeycar as dk from donkeycar import utils import pdb class KerasPilot(): def load(self, model_path): self.model = keras.models.load_model(model_path) def train(self, train_gen, val_gen, saved_model_path, epochs=500, steps=100, train_split=0.8): """ train_gen: generator that yields an array of images an array of """ #checkpoint to save model after each epoch save_best = keras.callbacks.ModelCheckpoint(saved_model_path, monitor='val_loss', verbose=1, save_best_only=True, mode='min') #stop training if the validation error stops improving. early_stop = keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=.0005, patience=5, verbose=1, mode='auto') callbacks_list = [save_best, early_stop] hist = self.model.fit_generator( train_gen, steps_per_epoch=steps, epochs=epochs, verbose=1, validation_data=val_gen, callbacks=callbacks_list, validation_steps=steps*(1.0 - train_split)) return hist class KerasCategorical(KerasPilot): def __init__(self, model=None, *args, **kwargs): super(KerasCategorical, self).__init__(*args, **kwargs) if model: self.model = model else: self.model = default_categorical() def run(self, img_arr): img_arr = img_arr.reshape((1,) + img_arr.shape) angle_binned, throttle = self.model.predict(img_arr) #angle_certainty = max(angle_binned[0]) angle_unbinned = utils.linear_unbin(angle_binned) return angle_unbinned, throttle[0][0] class KerasCategoricalCropped(KerasPilot): def __init__(self, model=None, *args, **kwargs): super(KerasCategoricalCropped, self).__init__(*args, **kwargs) if model: self.model = model else: self.model = categorical_cropped() def run(self, img_arr): img_arr = img_arr[60:,:] img_arr = img_arr.reshape((1,) + img_arr.shape) angle_binned, throttle = self.model.predict(img_arr) #angle_certainty = max(angle_binned[0]) angle_unbinned = utils.linear_unbin(angle_binned) return angle_unbinned, throttle[0][0] class KerasLinear(KerasPilot): def __init__(self, model=None, num_outputs=None, *args, **kwargs): super(KerasLinear, self).__init__(*args, **kwargs) if model: self.model = model elif num_outputs is not None: self.model = default_n_linear(num_outputs) else: self.model = default_linear() def run(self, img_arr): img_arr = img_arr.reshape((1,) + img_arr.shape) outputs = self.model.predict(img_arr) #print(len(outputs), outputs) steering = outputs[0] throttle = outputs[1] return steering[0][0], throttle[0][0] class CommaLinear(KerasPilot): def __init__(self, model=None, num_outputs=None, *args, **kwargs): super(CommaLinear, self).__init__(*args, **kwargs) if model: self.model = model else: self.model = comma_linear() def run(self, img_arr): img_arr = img_arr.reshape((1,) + img_arr.shape) output = self.model.predict(img_arr) steering = output[0][0] throttle = 0.5 #comma model is steering only. hardcode throttle return steering, throttle def default_categorical(): from keras.layers import Input, Dense, merge from keras.models import Model from keras.layers import Convolution2D, MaxPooling2D, Reshape, BatchNormalization from keras.layers import Activation, Dropout, Flatten, Dense img_in = Input(shape=(120, 160, 3), name='img_in') # First layer, input layer, Shape comes from camera.py resolution, RGB x = img_in #x = BatchNormalization(epsilon=0.001, axis=1)(x) x = Convolution2D(24, (5,5), strides=(2,2), activation='relu')(x) # 24 features, 5 pixel x 5 pixel kernel (convolution, feauture) window, 2wx2h stride, relu activation x = Convolution2D(32, (5,5), strides=(2,2), activation='relu')(x) # 32 features, 5px5p kernel window, 2wx2h stride, relu activatiion x = Convolution2D(64, (5,5), strides=(2,2), activation='relu')(x) # 64 features, 5px5p kernal window, 2wx2h stride, relu x = Convolution2D(64, (3,3), strides=(2,2), activation='relu')(x) # 64 features, 3px3p kernal window, 2wx2h stride, relu x = Convolution2D(64, (3,3), strides=(1,1), activation='relu')(x) # 64 features, 3px3p kernal window, 1wx1h stride, relu # Possibly add MaxPooling (will make it less sensitive to position in image). Camera angle fixed, so may not to be needed x = Flatten(name='flattened')(x) # Flatten to 1D (Fully connected) x = Dense(100, activation='relu')(x) # Classify the data into 100 features, make all negatives 0 x = Dropout(.1)(x) # Randomly drop out (turn off) 10% of the neurons (Prevent overfitting) x = Dense(50, activation='relu')(x) # Classify the data into 50 features, make all negatives 0 x = Dropout(.1)(x) # Randomly drop out 10% of the neurons (Prevent overfitting) #categorical output of the angle angle_out = Dense(15, activation='softmax', name='angle_out')(x) # Connect every input with every output and output 15 hidden units. Use Softmax to give percentage. 15 categories and find best one based off percentage 0.0-1.0 #continous output of throttle throttle_out = Dense(1, activation='relu', name='throttle_out')(x) # Reduce to 1 number, Positive number only model = Model(inputs=[img_in], outputs=[angle_out, throttle_out]) model.compile(optimizer='adam', loss={'angle_out': 'categorical_crossentropy', 'throttle_out': 'mean_absolute_error'}, loss_weights={'angle_out': 0.9, 'throttle_out': .001}) return model def default_linear(): from keras.layers import Input, Dense, merge from keras.models import Model from keras.layers import Convolution2D, MaxPooling2D, Reshape, BatchNormalization from keras.layers import Activation, Dropout, Flatten, Dense img_in = Input(shape=(120,160,3), name='img_in') x = img_in x = Convolution2D(24, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(32, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(64, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(64, (3,3), strides=(2,2), activation='relu')(x) x = Convolution2D(64, (3,3), strides=(1,1), activation='relu')(x) x = Flatten(name='flattened')(x) x = Dense(100, activation='linear')(x) x = Dropout(.1)(x) x = Dense(50, activation='linear')(x) x = Dropout(.1)(x) #categorical output of the angle angle_out = Dense(1, activation='linear', name='angle_out')(x) #continous output of throttle throttle_out = Dense(1, activation='linear', name='throttle_out')(x) model = Model(inputs=[img_in], outputs=[angle_out, throttle_out]) model.compile(optimizer='adam', loss={'angle_out': 'mean_squared_error', 'throttle_out': 'mean_squared_error'}, loss_weights={'angle_out': 0.5, 'throttle_out': .5}) return model def default_relu(): from keras.layers import Input, Dense, merge from keras.models import Model from keras.layers import Convolution2D, MaxPooling2D, Reshape, BatchNormalization from keras.layers import Activation, Dropout, Flatten, Dense img_in = Input(shape=(120,160,3), name='img_in') x = img_in x = Convolution2D(24, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(32, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(64, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(64, (3,3), strides=(2,2), activation='relu')(x) x = Convolution2D(64, (3,3), strides=(1,1), activation='relu')(x) x = Flatten(name='flattened')(x) x = Dense(100, activation='relu')(x) x = Dropout(.1)(x) x = Dense(50, activation='relu')(x) x = Dropout(.1)(x) #categorical output of the angle angle_out = Dense(1, activation='relu', name='angle_out')(x) #continous output of throttle throttle_out = Dense(1, activation='relu', name='throttle_out')(x) model = Model(inputs=[img_in], outputs=[angle_out, throttle_out]) model.compile(optimizer='rmsprop', loss={'angle_out': 'mean_squared_error', 'throttle_out': 'mean_squared_error'}, loss_weights={'angle_out': 0.9, 'throttle_out': .001}) return model def nvidia_categorical(): from keras.layers import Input, Dense, merge from keras.models import Model from keras.layers import Convolution2D, MaxPooling2D, Reshape, BatchNormalization from keras.layers import Activation, Dropout, Flatten, Dense img_in = Input(shape=(120, 160, 3), name='img_in') # First layer, input layer, Shape comes from camera.py resolution, RGB x = img_in x = BatchNormalization(epsilon=0.001, axis=1)(x) x = Convolution2D(24, (5,5), strides=(2,2), activation='relu')(x) # 24 features, 5 pixel x 5 pixel kernel (convolution, feauture) window, 2wx2h stride, relu activation x = Convolution2D(32, (5,5), strides=(2,2), activation='relu')(x) # 32 features, 5px5p kernel window, 2wx2h stride, relu activatiion x = Convolution2D(64, (5,5), strides=(2,2), activation='relu')(x) # 64 features, 5px5p kernal window, 2wx2h stride, relu x = Convolution2D(64, (3,3), strides=(2,2), activation='relu')(x) # 64 features, 3px3p kernal window, 2wx2h stride, relu x = Convolution2D(64, (3,3), strides=(1,1), activation='relu')(x) # 64 features, 3px3p kernal window, 1wx1h stride, relu # Possibly add MaxPooling (will make it less sensitive to position in image). Camera angle fixed, so may not to be needed x = Flatten(name='flattened')(x) # Flatten to 1D (Fully connected) x = Dense(1164, activation='relu')(x) x = Dropout(.1)(x) # Randomly drop out (turn off) 10% of the neurons (Prevent x = Dense(100, activation='relu')(x) # Classify the data into 100 features, make all negatives 0overfitting) x = Dropout(.1)(x) # Randomly drop out 10% of the neurons (Prevent overfitting) x = Dense(50, activation='relu')(x) # Classify the data into 50 features, make all negatives 0 x = Dropout(.1)(x) # Randomly drop out 10% of the neurons (Prevent overfitting) #categorical output of the angle angle_out = Dense(15, activation='softmax', name='angle_out')(x) # Connect every input with every output and output 15 hidden units. Use Softmax to give percentage. 15 categories and find best one based off percentage 0.0-1.0 #continous output of throttle throttle_out = Dense(1, activation='relu', name='throttle_out')(x) # Reduce to 1 number, Positive number only model = Model(inputs=[img_in], outputs=[angle_out, throttle_out]) model.compile(optimizer='adam', loss={'angle_out': 'categorical_crossentropy', 'throttle_out': 'mean_absolute_error'}, loss_weights={'angle_out': 0.5, 'throttle_out': 0.5}) return model def categorical_cropped(): from keras.layers import Input, Dense, merge from keras.models import Model from keras.layers import Convolution2D, MaxPooling2D, Reshape, BatchNormalization from keras.layers import Activation, Dropout, Flatten, Dense img_in = Input(shape=(60, 160, 3), name='img_in') # First layer, input layer, Shape comes from camera.py resolution, RGB x = img_in #x = BatchNormalization(epsilon=0.001, axis=1)(x) x = Convolution2D(24, (5,5), strides=(2,2), padding="same", activation='relu')(x) # 24 features, 5 pixel x 5 pixel kernel (convolution, feauture) window, 2wx2h stride, relu activation x = Convolution2D(32, (5,5), strides=(2,2), padding="same", activation='relu')(x) # 32 features, 5px5p kernel window, 2wx2h stride, relu activatiion x = Convolution2D(64, (5,5), strides=(2,2), padding="same", activation='relu')(x) # 64 features, 5px5p kernal window, 2wx2h stride, relu x = Convolution2D(64, (3,3), strides=(2,2), padding="same", activation='relu')(x) # 64 features, 3px3p kernal window, 2wx2h stride, relu x = Convolution2D(64, (3,3), strides=(1,1), padding="same", activation='relu')(x) # 64 features, 3px3p kernal window, 1wx1h stride, relu # Possibly add MaxPooling (will make it less sensitive to position in image). Camera angle fixed, so may not to be needed x = Flatten(name='flattened')(x) # Flatten to 1D (Fully connected) x = Dense(100, activation='relu')(x) # Classify the data into 100 features, make all negatives 0 x = Dropout(.1)(x) # Randomly drop out (turn off) 10% of the neurons (Prevent overfitting) x = Dense(50, activation='relu')(x) # Classify the data into 50 features, make all negatives 0 x = Dropout(.1)(x) # Randomly drop out 10% of the neurons (Prevent overfitting) #categorical output of the angle angle_out = Dense(15, activation='softmax', name='angle_out')(x) # Connect every input with every output and output 15 hidden units. Use Softmax to give percentage. 15 categories and find best one based off percentage 0.0-1.0 #continous output of throttle throttle_out = Dense(1, activation='relu', name='throttle_out')(x) # Reduce to 1 number, Positive number only model = Model(inputs=[img_in], outputs=[angle_out, throttle_out]) model.compile(optimizer='adam', loss={'angle_out': 'categorical_crossentropy', 'throttle_out': 'mean_absolute_error'}, loss_weights={'angle_out': 0.9, 'throttle_out': .001}) return model def default_n_linear(num_outputs): from keras.layers import Input, Dense, merge from keras.models import Model from keras.layers import Convolution2D, MaxPooling2D, Reshape, BatchNormalization from keras.layers import Activation, Dropout, Flatten, Cropping2D, Lambda img_in = Input(shape=(120,160,3), name='img_in') x = img_in x = Cropping2D(cropping=((60,0), (0,0)))(x) #trim 60 pixels off top x = Lambda(lambda x: x/127.5 - 1.)(x) # normalize and re-center x = Convolution2D(24, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(32, (5,5), strides=(2,2), activation='relu')(x) x = Convolution2D(64, (5,5), strides=(1,1), activation='relu')(x) x = Convolution2D(64, (3,3), strides=(1,1), activation='relu')(x) x = Convolution2D(64, (3,3), strides=(1,1), activation='relu')(x) x = Flatten(name='flattened')(x) x = Dense(100, activation='relu')(x) x = Dropout(.1)(x) x = Dense(50, activation='relu')(x) x = Dropout(.1)(x) outputs = [] for i in range(num_outputs): outputs.append(Dense(1, activation='linear', name='n_outputs' + str(i))(x)) model = Model(inputs=[img_in], outputs=outputs) model.compile(optimizer='adam', loss='mse') return model def comma_linear(): from keras.models import Sequential from keras.layers import Dense, Dropout, Flatten, Lambda, ELU from keras.layers.convolutional import Convolution2D ch, row, col = 3, 120, 160 # camera format model = Sequential() model.add(Lambda(lambda x: x/127.5 - 1., input_shape=(row, col, ch), output_shape=(row, col, ch))) model.add(Convolution2D(16, (8, 8), strides=(4, 4), padding="same")) model.add(ELU()) model.add(Convolution2D(32, (5, 5), strides=(2, 2), padding="same")) model.add(ELU()) model.add(Convolution2D(64, (5, 5), strides=(2, 2), padding="same")) model.add(Flatten()) model.add(Dropout(.2)) model.add(ELU()) model.add(Dense(512)) model.add(Dropout(.5)) model.add(ELU()) model.add(Dense(1)) model.compile(optimizer="adam", loss="mse") return model

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twads/__init__.py

jdgillespie91/twitter-ads

9485fd2a196e47b012bb1209634a76b89732dfca

[ "MIT" ]

null

twads/__init__.py

jdgillespie91/twitter-ads

9485fd2a196e47b012bb1209634a76b89732dfca

[ "MIT" ]

null

twads/__init__.py

jdgillespie91/twitter-ads

9485fd2a196e47b012bb1209634a76b89732dfca

[ "MIT" ]

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from .main import Client # noqa

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code/node/models/__init__.py

Intelligent-Systems-Phystech/2022-Project-109

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[ "MIT" ]

null

code/node/models/__init__.py

Intelligent-Systems-Phystech/2022-Project-109

14ff4c844afd817e37c803af87c95fabc505fb10

[ "MIT" ]

null

code/node/models/__init__.py

Intelligent-Systems-Phystech/2022-Project-109

14ff4c844afd817e37c803af87c95fabc505fb10

[ "MIT" ]

null

from .cde import NeuralCde # noqa: F401 from .eegnet import EegNet # noqa: F401 #from .erpcov_ts_lr import erpcov_ts_lr # noqa: F401 from .lmu import LmuLstm # noqa: F401 from .ode_lstm import OdeLstm # noqa: F401 #import numpy

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Python

segmentation_models_pytorch/unet_3D/__init__.py

bartoszptak/segmentation_models.pytorch

7f443f7ae39a58841adce1f3a7973d6f4bcd052a

[ "MIT" ]

null

segmentation_models_pytorch/unet_3D/__init__.py

bartoszptak/segmentation_models.pytorch

7f443f7ae39a58841adce1f3a7973d6f4bcd052a

[ "MIT" ]

null

segmentation_models_pytorch/unet_3D/__init__.py

bartoszptak/segmentation_models.pytorch

7f443f7ae39a58841adce1f3a7973d6f4bcd052a

[ "MIT" ]

null

from .model import Unet_3D

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1b6f8f779eb0f6eae6d667985ba6793ea818f112

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py

Python

semana_03/django/produtos/views.py

luispaulojr/cursoPython

24aaa73741508986d7f747be8f3822889be81025

[ "MIT" ]

null

semana_03/django/produtos/views.py

luispaulojr/cursoPython

24aaa73741508986d7f747be8f3822889be81025

[ "MIT" ]

null

semana_03/django/produtos/views.py

luispaulojr/cursoPython

24aaa73741508986d7f747be8f3822889be81025

[ "MIT" ]

null

from django.shortcuts import render # Create your views here. def metodoProdutos(request): return render(request, 'produtox/index.html')

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Python

retrobiocat_web/__init__.py

ihayhurst/RetroBioCat

d674897459c0ab65faad5ed3017c55cf51bcc020

[ "MIT" ]

9

2020-12-01T16:33:02.000Z

2022-01-19T20:02:42.000Z

retrobiocat_web/__init__.py

ihayhurst/RetroBioCat

d674897459c0ab65faad5ed3017c55cf51bcc020

[ "MIT" ]

4

2020-10-02T14:38:32.000Z

2021-08-02T09:23:58.000Z

retrobiocat_web/__init__.py

ihayhurst/RetroBioCat

d674897459c0ab65faad5ed3017c55cf51bcc020

[ "MIT" ]

6

2021-01-14T07:48:36.000Z

2022-03-20T17:34:27.000Z

import datetime from retrobiocat_web.version import version __version__ = version from retrobiocat_web.retro.generation.network_generation.network import Network

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Python

tccli/services/bm/__init__.py

tarnover/tencentcloud-cli

5b0537913a33884a20d7663405a8aa1c2276b41a

[ "Apache-2.0" ]

null

tccli/services/bm/__init__.py

tarnover/tencentcloud-cli

5b0537913a33884a20d7663405a8aa1c2276b41a

[ "Apache-2.0" ]

null

tccli/services/bm/__init__.py

tarnover/tencentcloud-cli

5b0537913a33884a20d7663405a8aa1c2276b41a

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from tccli.services.bm.bm_client import register_arg from tccli.services.bm.bm_client import get_actions_info from tccli.services.bm.bm_client import AVAILABLE_VERSION_LIST

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py

Python

rpyg/__init__.py

mimiflynn/pyrpg

f61904c0ccd336ec1ab2a408d7a9add6a5c433b5

[ "MIT" ]

null

rpyg/__init__.py

mimiflynn/pyrpg

f61904c0ccd336ec1ab2a408d7a9add6a5c433b5

[ "MIT" ]

3

2018-05-31T16:15:03.000Z

2018-06-05T19:02:34.000Z

rpyg/__init__.py

mimiflynn/pyrpg

f61904c0ccd336ec1ab2a408d7a9add6a5c433b5

[ "MIT" ]

null

from rpyg.engine.core import Rpyg

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py

Python

blaze/chrome/devtools.py

muralisr/blaze

e0d183af441cfe63ba1346cd0d6d8ac76ff494ca

[ "MIT" ]

5

2020-12-16T03:13:59.000Z

2022-03-06T07:16:39.000Z

blaze/chrome/devtools.py

muralisr/blaze

e0d183af441cfe63ba1346cd0d6d8ac76ff494ca

[ "MIT" ]

9

2020-09-25T23:25:59.000Z

2022-03-11T23:45:14.000Z

blaze/chrome/devtools.py

muralisr/blaze

e0d183af441cfe63ba1346cd0d6d8ac76ff494ca

[ "MIT" ]

3

2019-10-16T21:22:07.000Z

2020-07-21T13:38:22.000Z

""" This module implements methods interacting with Chrome DevTools """ import json import os import subprocess import sys import tempfile from typing import Optional from blaze.action.policy import Policy from blaze.config.client import ClientEnvironment from blaze.config.config import Config from blaze.logger import logger from blaze.mahimahi import MahiMahiConfig from .har import har_from_json, Har def capture_har_in_replay_server( url: str, config: Config, client_env: ClientEnvironment, policy: Optional[Policy] = None, cache_time: Optional[int] = None, user_data_dir: Optional[str] = None, extract_critical_requests: Optional[bool] = False, ) -> Har: """ capture_har spawns a headless chrome instance and connects to its remote debugger in order to extract the HAR file generated by loading the given URL. The har capturer is launched inside a replay shell using the specified Mahimahi config, which means that the webpage needs to have been recorded before calling this method """ log = logger.with_namespace("capture_har_in_replay_server") if not config.env_config or not config.env_config.replay_dir: raise ValueError("replay_dir must be specified") policy = policy or Policy.from_dict({}) mahimahi_config = MahiMahiConfig(config=config, policy=policy, client_environment=client_env) with tempfile.TemporaryDirectory() as temp_dir: policy_file = os.path.join(temp_dir, "policy.json") output_file = os.path.join(temp_dir, "har.json") trace_file = os.path.join(temp_dir, "trace_file") with open(policy_file, "w") as f: log.debug("writing push policy file", policy_file=policy_file) f.write(json.dumps(policy.as_dict)) with open(trace_file, "w") as f: log.debug("writing trace file", trace_file=trace_file) f.write(mahimahi_config.formatted_trace_file) # configure the HAR capturer cmd = mahimahi_config.har_capture_cmd( share_dir=temp_dir, har_output_file_name="har.json", policy_file_name="policy.json", link_trace_file_name="trace_file", capture_url=url, cache_time=cache_time, user_data_dir=user_data_dir, extract_critical_requests=extract_critical_requests, ) # spawn the HAR capturer process log.debug("spawning har capturer", url=url, cmd=cmd) har_capture_proc = subprocess.run(cmd, stdout=sys.stderr, stderr=sys.stderr, timeout=300) har_capture_proc.check_returncode() with open(output_file, "r") as f: return har_from_json(f.read()) def capture_si_in_replay_server( url: str, config: Config, client_env: ClientEnvironment, policy: Optional[Policy] = None, cache_time: Optional[int] = None, user_data_dir: Optional[str] = None, extract_critical_requests: Optional[bool] = False, ) -> float: """ capture_har spawns a headless chrome instance and connects to its remote debugger in order to extract the HAR file generated by loading the given URL. The har capturer is launched inside a replay shell using the specified Mahimahi config, which means that the webpage needs to have been recorded before calling this method """ log = logger.with_namespace("capture_si_in_replay_server") if not config.env_config or not config.env_config.replay_dir: raise ValueError("replay_dir must be specified") policy = policy or Policy.from_dict({}) mahimahi_config = MahiMahiConfig(config=config, policy=policy, client_environment=client_env) with tempfile.TemporaryDirectory() as temp_dir: policy_file = os.path.join(temp_dir, "policy.json") output_file = os.path.join(temp_dir, "si.json") trace_file = os.path.join(temp_dir, "trace_file") with open(policy_file, "w") as f: log.debug("writing push policy file", policy_file=policy_file) f.write(json.dumps(policy.as_dict)) with open(trace_file, "w") as f: log.debug("writing trace file", trace_file=trace_file) f.write(mahimahi_config.formatted_trace_file) # configure the SI (speed index) capturer cmd = mahimahi_config.si_capture_cmd( share_dir=temp_dir, si_output_file_name="si.json", policy_file_name="policy.json", link_trace_file_name="trace_file", capture_url=url, cache_time=cache_time, user_data_dir=user_data_dir, extract_critical_requests=extract_critical_requests, ) # spawn the SI capturer process log.debug("spawning SI capturer", url=url, cmd=cmd) si_capture_proc = subprocess.run(cmd, stdout=sys.stderr, stderr=sys.stderr) si_capture_proc.check_returncode() with open(output_file, "r") as f: return float(f.read())

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6

945c4fb23a2432481d6edb642d0cdf70926877c8

171

py

Python

python/8kyu/pick_a_set_of_first_elements.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

3

2021-06-08T01:57:13.000Z

2021-06-26T10:52:47.000Z

python/8kyu/pick_a_set_of_first_elements.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

null

python/8kyu/pick_a_set_of_first_elements.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

2

2021-06-10T21:20:13.000Z

2021-06-30T10:13:26.000Z

"""Kata url: https://www.codewars.com/kata/572b77262bedd351e9000076.""" from typing import List def first(seq: List[int], n: int = 1) -> List[int]: return seq[:n]

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null

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0

1

0

6

946bdf8246dab017eabdf2063218f70f474666b2

27

py

Python

brian2/codegen/runtime/GSLweave_rt/__init__.py

rgerkin/brian2

34761a58b0d4c2275194e648449419b3dd73286b

[ "BSD-2-Clause" ]

2

2020-03-20T13:30:19.000Z

2020-03-20T13:30:57.000Z

brian2/codegen/runtime/GSLweave_rt/__init__.py

rgerkin/brian2

34761a58b0d4c2275194e648449419b3dd73286b

[ "BSD-2-Clause" ]

null

brian2/codegen/runtime/GSLweave_rt/__init__.py

rgerkin/brian2

34761a58b0d4c2275194e648449419b3dd73286b

[ "BSD-2-Clause" ]

null

from .GSLweave_rt import *

13.5

26

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null

0

1

0

1

0

1

0

6

9480e31abe67aa3ee41e23dd8246e47620979bef

130

py

Python

testing/ejemplo/config.py

rauljrz/curso_python

f241125f0a51c39899f5d59537dca9e7b4c53489

[ "Apache-2.0" ]

null

testing/ejemplo/config.py

rauljrz/curso_python

f241125f0a51c39899f5d59537dca9e7b4c53489

[ "Apache-2.0" ]

null

testing/ejemplo/config.py

rauljrz/curso_python

f241125f0a51c39899f5d59537dca9e7b4c53489

[ "Apache-2.0" ]

null

from pathlib import Path def carpeta_ssh(): """Funcion que devuelve ruta de configuracion ssh.""" return Path.home() / ".ssh"

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6

849b41cadb555aabaf7db3f7f686222807c3c6f5

21

py

Python

cadence/langs/__init__.py

tomaarsen/cadence

c6878c6224aac6c26efc9dbd59a1de551df85e8f

[ "MIT" ]

12

2021-03-29T17:41:26.000Z

2022-02-03T07:30:05.000Z

cadence/langs/__init__.py

tomaarsen/cadence

c6878c6224aac6c26efc9dbd59a1de551df85e8f

[ "MIT" ]

1

2021-03-30T11:12:44.000Z

2021-03-30T14:56:50.000Z

cadence/langs/__init__.py

tomaarsen/cadence

c6878c6224aac6c26efc9dbd59a1de551df85e8f

[ "MIT" ]

3

2021-03-29T18:52:27.000Z

2022-01-15T06:50:21.000Z

from .langs import *

10.5

20

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5

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6

84c878711ca48396e667dba1ae087abf0eea4bba

12,022

py

Python

src/cm/migrations/0001_initial.py

didorothy/Consulting

f8943f5275c75a1ca1a1bf2b36743e47ba921625

[ "BSD-3-Clause" ]

null

src/cm/migrations/0001_initial.py

didorothy/Consulting

f8943f5275c75a1ca1a1bf2b36743e47ba921625

[ "BSD-3-Clause" ]

null

src/cm/migrations/0001_initial.py

didorothy/Consulting

f8943f5275c75a1ca1a1bf2b36743e47ba921625

[ "BSD-3-Clause" ]

1

2022-03-06T21:16:52.000Z

# -*- coding: utf-8 -*- import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Customer' db.create_table('cm_customer', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('name', self.gf('django.db.models.fields.CharField')(max_length=500)), ('address1', self.gf('django.db.models.fields.CharField')(max_length=1000, blank=True)), ('address2', self.gf('django.db.models.fields.CharField')(max_length=1000, blank=True)), ('city', self.gf('django.db.models.fields.CharField')(max_length=255, blank=True)), ('state', self.gf('django.contrib.localflavor.us.models.USStateField')(max_length=2, null=True, blank=True)), ('postal_code', self.gf('django.db.models.fields.CharField')(max_length=30, blank=True)), ('phone', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)), ('email', self.gf('django.db.models.fields.EmailField')(max_length=75, blank=True)), ('notes', self.gf('django.db.models.fields.TextField')(blank=True)), )) db.send_create_signal('cm', ['Customer']) # Adding model 'Contact' db.create_table('cm_contact', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('customer', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.Customer'])), ('first_name', self.gf('django.db.models.fields.CharField')(max_length=255)), ('last_name', self.gf('django.db.models.fields.CharField')(max_length=255)), ('email', self.gf('django.db.models.fields.EmailField')(max_length=75, blank=True)), ('phone', self.gf('django.db.models.fields.CharField')(max_length=100, blank=True)), ('notes', self.gf('django.db.models.fields.TextField')(blank=True)), )) db.send_create_signal('cm', ['Contact']) # Adding model 'Project' db.create_table('cm_project', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('customer', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.Customer'])), ('title', self.gf('django.db.models.fields.CharField')(max_length=255)), ('description', self.gf('django.db.models.fields.TextField')(blank=True)), ('estimate', self.gf('django.db.models.fields.DecimalField')(max_digits=20, decimal_places=4)), ('rate', self.gf('django.db.models.fields.DecimalField')(default='45.0', max_digits=20, decimal_places=2)), ('complete', self.gf('django.db.models.fields.BooleanField')(default=False)), )) db.send_create_signal('cm', ['Project']) # Adding model 'TimeEntry' db.create_table('cm_timeentry', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('project', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.Project'])), ('description', self.gf('django.db.models.fields.TextField')(blank=True)), ('start', self.gf('django.db.models.fields.DateTimeField')()), ('stop', self.gf('django.db.models.fields.DateTimeField')(null=True, blank=True)), ('invoice_line_item', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.InvoiceLineItem'], null=True, blank=True)), )) db.send_create_signal('cm', ['TimeEntry']) # Adding model 'Invoice' db.create_table('cm_invoice', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('invoice_number', self.gf('django.db.models.fields.CharField')(max_length=255)), ('customer', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.Customer'])), ('project', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.Project'], null=True, blank=True)), ('invoice_date', self.gf('django.db.models.fields.DateField')()), ('invoice_total', self.gf('django.db.models.fields.DecimalField')(max_digits=18, decimal_places=2)), ('paid', self.gf('django.db.models.fields.BooleanField')(default=False)), )) db.send_create_signal('cm', ['Invoice']) # Adding model 'InvoiceLineItem' db.create_table('cm_invoicelineitem', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('invoice', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.Invoice'])), ('description', self.gf('django.db.models.fields.CharField')(max_length=500)), ('quantity', self.gf('django.db.models.fields.DecimalField')(max_digits=18, decimal_places=2)), ('price', self.gf('django.db.models.fields.DecimalField')(max_digits=18, decimal_places=2)), )) db.send_create_signal('cm', ['InvoiceLineItem']) # Adding model 'Payment' db.create_table('cm_payment', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('invoice', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['cm.Invoice'])), ('payment_type', self.gf('django.db.models.fields.CharField')(max_length=30)), ('transaction_number', self.gf('django.db.models.fields.CharField')(max_length=50)), ('date_received', self.gf('django.db.models.fields.DateField')()), ('pay_date', self.gf('django.db.models.fields.DateField')()), ('amount', self.gf('django.db.models.fields.DecimalField')(max_digits=18, decimal_places=2)), )) db.send_create_signal('cm', ['Payment']) def backwards(self, orm): # Deleting model 'Customer' db.delete_table('cm_customer') # Deleting model 'Contact' db.delete_table('cm_contact') # Deleting model 'Project' db.delete_table('cm_project') # Deleting model 'TimeEntry' db.delete_table('cm_timeentry') # Deleting model 'Invoice' db.delete_table('cm_invoice') # Deleting model 'InvoiceLineItem' db.delete_table('cm_invoicelineitem') # Deleting model 'Payment' db.delete_table('cm_payment') models = { 'cm.contact': { 'Meta': {'object_name': 'Contact'}, 'customer': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.Customer']"}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'notes': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'phone': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}) }, 'cm.customer': { 'Meta': {'object_name': 'Customer'}, 'address1': ('django.db.models.fields.CharField', [], {'max_length': '1000', 'blank': 'True'}), 'address2': ('django.db.models.fields.CharField', [], {'max_length': '1000', 'blank': 'True'}), 'city': ('django.db.models.fields.CharField', [], {'max_length': '255', 'blank': 'True'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '500'}), 'notes': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'phone': ('django.db.models.fields.CharField', [], {'max_length': '100', 'blank': 'True'}), 'postal_code': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'state': ('django.contrib.localflavor.us.models.USStateField', [], {'max_length': '2', 'null': 'True', 'blank': 'True'}) }, 'cm.invoice': { 'Meta': {'ordering': "('-invoice_date',)", 'object_name': 'Invoice'}, 'customer': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.Customer']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'invoice_date': ('django.db.models.fields.DateField', [], {}), 'invoice_number': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'invoice_total': ('django.db.models.fields.DecimalField', [], {'max_digits': '18', 'decimal_places': '2'}), 'paid': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'project': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.Project']", 'null': 'True', 'blank': 'True'}) }, 'cm.invoicelineitem': { 'Meta': {'ordering': "('invoice', 'id')", 'object_name': 'InvoiceLineItem'}, 'description': ('django.db.models.fields.CharField', [], {'max_length': '500'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'invoice': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.Invoice']"}), 'price': ('django.db.models.fields.DecimalField', [], {'max_digits': '18', 'decimal_places': '2'}), 'quantity': ('django.db.models.fields.DecimalField', [], {'max_digits': '18', 'decimal_places': '2'}) }, 'cm.payment': { 'Meta': {'ordering': "('pay_date',)", 'object_name': 'Payment'}, 'amount': ('django.db.models.fields.DecimalField', [], {'max_digits': '18', 'decimal_places': '2'}), 'date_received': ('django.db.models.fields.DateField', [], {}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'invoice': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.Invoice']"}), 'pay_date': ('django.db.models.fields.DateField', [], {}), 'payment_type': ('django.db.models.fields.CharField', [], {'max_length': '30'}), 'transaction_number': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'cm.project': { 'Meta': {'object_name': 'Project'}, 'complete': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'customer': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.Customer']"}), 'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'estimate': ('django.db.models.fields.DecimalField', [], {'max_digits': '20', 'decimal_places': '4'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'rate': ('django.db.models.fields.DecimalField', [], {'default': "'45.0'", 'max_digits': '20', 'decimal_places': '2'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '255'}) }, 'cm.timeentry': { 'Meta': {'object_name': 'TimeEntry'}, 'description': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'invoice_line_item': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.InvoiceLineItem']", 'null': 'True', 'blank': 'True'}), 'project': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['cm.Project']"}), 'start': ('django.db.models.fields.DateTimeField', [], {}), 'stop': ('django.db.models.fields.DateTimeField', [], {'null': 'True', 'blank': 'True'}) } } complete_apps = ['cm']

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1708893273dfec468ba0752033c479f85d9c81aa

19

py

Python

neo_backend/api/views/__init__.py

what-digital/blockselfie-bacckend

231ffd92b1fc570a58ec5058d7f04d065c3866ba

[ "MIT" ]

2

2018-11-04T17:51:32.000Z

2018-11-05T14:21:41.000Z

neo_backend/api/views/__init__.py

what-digital/blockselfie-backend

231ffd92b1fc570a58ec5058d7f04d065c3866ba

[ "MIT" ]

null

neo_backend/api/views/__init__.py

what-digital/blockselfie-backend

231ffd92b1fc570a58ec5058d7f04d065c3866ba

[ "MIT" ]

null

from .sc import *

6.333333

17

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1

0

1

0

1

0

6

ca63a0e350d108aa4c218f1721388238b1b8c7fa

11,035

py

Python

iridauploader/tests/parsers/directory/test_sample_parser.py

COMBAT-SARS-COV-2/irida-uploader

b9d04d187d6a5a9fdcaef5b27135965ffac99db0

[ "Apache-2.0" ]

7

2019-01-25T16:56:11.000Z

2021-01-12T15:32:08.000Z

iridauploader/tests/parsers/directory/test_sample_parser.py

COMBAT-SARS-COV-2/irida-uploader

b9d04d187d6a5a9fdcaef5b27135965ffac99db0

[ "Apache-2.0" ]

80

2019-01-29T14:54:26.000Z

2022-03-25T18:51:51.000Z

iridauploader/tests/parsers/directory/test_sample_parser.py

COMBAT-SARS-COV-2/irida-uploader

b9d04d187d6a5a9fdcaef5b27135965ffac99db0

[ "Apache-2.0" ]

9

2019-03-14T09:58:05.000Z

2022-01-06T20:14:45.000Z

import unittest from os import path from unittest.mock import patch import iridauploader.parsers.directory.sample_parser as sample_parser from iridauploader.parsers.exceptions import SampleSheetError import iridauploader.model as model path_to_module = path.abspath(path.dirname(__file__)) if len(path_to_module) == 0: path_to_module = '.' class TestVerifySampleSheetFileNamesInFileList(unittest.TestCase): """ test file existence verification function """ def setUp(self): print("\nStarting " + self.__module__ + ": " + self._testMethodName) def test_valid(self): sheet_file = path.join(path_to_module, "fake_dir_data", "SampleList_simple.csv") run_data_directory_file_list = ["file_1.fastq.gz", "file_2.fastq.gz"] sample_parser.verify_sample_sheet_file_names_in_file_list(sheet_file, run_data_directory_file_list) def test_file_names_do_not_match_paired_end(self): sheet_file = path.join(path_to_module, "fake_dir_data", "SampleList_simple.csv") run_data_directory_file_list = ["file_1.fastq.gz", "file_a.fastq.gz"] with self.assertRaises(SampleSheetError): sample_parser.verify_sample_sheet_file_names_in_file_list(sheet_file, run_data_directory_file_list) def test_file_names_do_not_match_single_end(self): sheet_file = path.join(path_to_module, "fake_dir_data", "no_reverse.csv") run_data_directory_file_list = ["file_a.fastq.gz"] with self.assertRaises(SampleSheetError): sample_parser.verify_sample_sheet_file_names_in_file_list(sheet_file, run_data_directory_file_list) class TestBuildSampleListFromSampleSheetWithAbsPath(unittest.TestCase): """ test parsing the list of samples from a sample sheet """ def setUp(self): print("\nStarting " + self.__module__ + ": " + self._testMethodName) def test_valid(self): """ Given a valid sample sheet, parse correctly :return: """ sheet_file = path.join(path_to_module, "fake_dir_data", "SampleList_simple.csv") file_path_1 = path.join(path_to_module, "fake_dir_data", "file_1.fastq.gz") file_path_2 = path.join(path_to_module, "fake_dir_data", "file_2.fastq.gz") res = sample_parser.build_sample_list_from_sample_sheet_with_abs_path(sheet_file) # Check we have 1 sample self.assertEqual(len(res), 1) # Check if data is correct self.assertEqual(res[0].sample_name, "my-sample-1") self.assertEqual(res[0].get_uploadable_dict()["sample_project"], "75") self.assertEqual(res[0].get_uploadable_dict()["File_Forward"], "file_1.fastq.gz") self.assertEqual(res[0].get_uploadable_dict()["File_Reverse"], "file_2.fastq.gz") self.assertEqual(res[0].sequence_file.file_list[0], file_path_1) self.assertEqual(res[0].sequence_file.file_list[1], file_path_2) @patch("iridauploader.parsers.directory.sample_parser._parse_samples") def test_valid_full_file_path(self, mock_parse_samples): """ Given a valid sample sheet with full file paths, parse correctly :return: """ sheet_file = path.join(path_to_module, "fake_dir_data", "SampleList_simple.csv") file_path_1 = path.join(path_to_module, "fake_dir_data", "file_1.fastq.gz") file_path_2 = path.join(path_to_module, "fake_dir_data", "file_2.fastq.gz") sample_list = [ model.Sample( sample_name='my-sample-1', description="", sample_number=0, samp_dict={ ('sample_project', '75'), ('File_Forward', path.abspath(file_path_1)), ('File_Reverse', path.abspath(file_path_2)) } ) ] mock_parse_samples.return_value = sample_list res = sample_parser.build_sample_list_from_sample_sheet_with_abs_path(sheet_file) mock_parse_samples.assert_called_with(sheet_file) # Check we have 1 sample self.assertEqual(len(res), 1) # Check if data is correct self.assertEqual(res[0].sample_name, "my-sample-1") self.assertEqual(res[0].get_uploadable_dict()["sample_project"], "75") self.assertEqual(res[0].get_uploadable_dict()["File_Forward"], path.abspath(file_path_1)) self.assertEqual(res[0].get_uploadable_dict()["File_Reverse"], path.abspath(file_path_2)) self.assertEqual(res[0].sequence_file.file_list[0], file_path_1) self.assertEqual(res[0].sequence_file.file_list[1], file_path_2) def test_no_forward_read(self): """ No Valid files were found with names given in sample sheet :return: """ directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "list_no_forward.csv") with self.assertRaises(SampleSheetError): res = sample_parser.build_sample_list_from_sample_sheet_with_abs_path(file_path) def test_no_reverse_read(self): """ The file list in the sample sheet is invalid :return: """ directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "list_no_reverse.csv") with self.assertRaises(SampleSheetError): res = sample_parser.build_sample_list_from_sample_sheet_with_abs_path(file_path) class TestBuildSampleListFromSampleSheetNoVerify(unittest.TestCase): """ test parsing the list of samples from a sample sheet These samplelists are built without verification that the files exist But we still check the positive test cases """ def setUp(self): print("\nStarting " + self.__module__ + ": " + self._testMethodName) def test_valid(self): """ Given a valid sample sheet, parse correctly :return: """ sheet_file = path.join(path_to_module, "fake_dir_data", "SampleList_simple.csv") file_name_1 = "file_1.fastq.gz" file_name_2 = "file_2.fastq.gz" res = sample_parser.build_sample_list_from_sample_sheet_no_verify(sheet_file) # Check we have 1 sample self.assertEqual(len(res), 1) # Check if data is correct self.assertEqual(res[0].sample_name, "my-sample-1") self.assertEqual(res[0].get_uploadable_dict()["sample_project"], "75") self.assertEqual(res[0].get_uploadable_dict()["File_Forward"], file_name_1) self.assertEqual(res[0].get_uploadable_dict()["File_Reverse"], file_name_2) self.assertEqual(res[0].sequence_file.file_list[0], file_name_1) self.assertEqual(res[0].sequence_file.file_list[1], file_name_2) class TestOnlySingleOrPairedInSampleList(unittest.TestCase): """ test boolean of if there is only one of paired or single end files in a list of samples """ def setUp(self): print("\nStarting " + self.__module__ + ": " + self._testMethodName) def test_mixed_paired_and_single_reads(self): directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "list_mixed.csv") sample_list = sample_parser.build_sample_list_from_sample_sheet_with_abs_path(file_path) res = sample_parser.only_single_or_paired_in_sample_list(sample_list) self.assertFalse(res) def test_only_single_end_reads(self): directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "no_reverse.csv") sample_list = sample_parser.build_sample_list_from_sample_sheet_with_abs_path(file_path) res = sample_parser.only_single_or_paired_in_sample_list(sample_list) self.assertTrue(res) def test_only_paired_end_reads(self): directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "SampleList.csv") sample_list = sample_parser.build_sample_list_from_sample_sheet_with_abs_path(file_path) res = sample_parser.only_single_or_paired_in_sample_list(sample_list) self.assertTrue(res) class TestParseSamples(unittest.TestCase): """ Test validity or invalidity of parsed samples """ def setUp(self): print("\nStarting " + self.__module__ + ": " + self._testMethodName) def test_valid(self): """ Given a valid sample sheet, parse correctly :return: """ sheet_file = path.join(path_to_module, "fake_dir_data", "SampleList_simple.csv") file_name_1 = "file_1.fastq.gz" file_name_2 = "file_2.fastq.gz" res = sample_parser._parse_samples(sheet_file) # Check we have 1 sample self.assertEqual(len(res), 1) # Check if data is correct self.assertEqual(res[0].sample_name, "my-sample-1") self.assertEqual(res[0].get_uploadable_dict()["sample_project"], "75") self.assertEqual(res[0].get_uploadable_dict()["File_Forward"], file_name_1) self.assertEqual(res[0].get_uploadable_dict()["File_Reverse"], file_name_2) def test_no_forward_read(self): """ No Valid files were found with names given in sample sheet :return: """ directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "no_forward.csv") with self.assertRaises(SampleSheetError): res = sample_parser._parse_samples(file_path) def test_no_reverse_read(self): """ The file list in the sample sheet is invalid :return: """ directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "no_reverse.csv") res = sample_parser._parse_samples(file_path) # This should have an empty file reverse self.assertEqual(res[0]["File_Reverse"], "") def test_no_reverse_read_with_comma(self): """ The file list in the sample sheet is invalid :return: """ directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "no_reverse_with_comma.csv") res = sample_parser._parse_samples(file_path) # This should have an empty file reverse self.assertEqual(res[0]["File_Reverse"], "") def test_no_read_files_in_list(self): """ The file list in the sample sheet is invalid :return: """ directory = path.join(path_to_module, "fake_dir_data") file_path = path.join(directory, "no_read_files.csv") with self.assertRaises(SampleSheetError): res = sample_parser._parse_samples(file_path)

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0.097115

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0.202532

0.031646

0

null

0

1

0

null

0

6

ca888d85992f8704708691da1b48ab497161d8ce

128

py

Python

wallpaper/monitor/generic.py

gabbpuy/wallpaper

ec5fdeeb92d1a6285e1ac2ec3b0164929b7ea305

[ "BSD-2-Clause" ]

1

2021-06-01T21:24:42.000Z

wallpaper/monitor/generic.py

gabbpuy/wallpaper

ec5fdeeb92d1a6285e1ac2ec3b0164929b7ea305

[ "BSD-2-Clause" ]

null

wallpaper/monitor/generic.py

gabbpuy/wallpaper

ec5fdeeb92d1a6285e1ac2ec3b0164929b7ea305

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from .monitor import Monitor def get_monitors(size): return Monitor("Generic", size, size, 1, 0),

18.285714

48

0.648438

18

128

4.555556

0.777778

0

0.028571

0.179688

128

6

49

21.333333

0.752381

0.164063

0

0.066667

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0.333333

false

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null

0

1

0

null

0

1

0

1

0

6

ca992bf92d5d1b8735d16f79e78a5bc00a1c2a61

114

py

Python

db_conn/query/sc_soccer/__init__.py

szkkteam/db_conn

06cf0bc98b92ce542e7475afdd33eb5eb9f27645

[ "MIT" ]

null

db_conn/query/sc_soccer/__init__.py

szkkteam/db_conn

06cf0bc98b92ce542e7475afdd33eb5eb9f27645

[ "MIT" ]

null

db_conn/query/sc_soccer/__init__.py

szkkteam/db_conn

06cf0bc98b92ce542e7475afdd33eb5eb9f27645

[ "MIT" ]

null

from .tables import * from .insert import * from .update import * from .select import * from .complex import *

22.8

22

0.710526

15

114

5.4

0.466667

0.493827

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114

5

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null

0

1

0

1

0

1

0

6

04a44ded7b0346c2d6cca43cf66bbd67e1c16e35

16,404

py

Python

tests/unit/dataactvalidator/test_b9_object_class_program_activity.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

1

2018-10-29T12:54:44.000Z

tests/unit/dataactvalidator/test_b9_object_class_program_activity.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

tests/unit/dataactvalidator/test_b9_object_class_program_activity.py

COEJKnight/one

6a5f8cd9468ab368019eb2597821b7837f74d9e2

[ "CC0-1.0" ]

null

from tests.unit.dataactcore.factories.staging import ObjectClassProgramActivityFactory from tests.unit.dataactcore.factories.domain import ProgramActivityFactory from tests.unit.dataactcore.factories.job import SubmissionFactory from tests.unit.dataactvalidator.utils import number_of_errors, query_columns _FILE = 'b9_object_class_program_activity' def test_column_headers(database): expected_subset = {'row_number', 'agency_identifier', 'main_account_code', 'program_activity_name', 'program_activity_code'} actual = set(query_columns(_FILE, database)) assert (actual & expected_subset) == expected_subset def test_success(database): """ Testing valid program activity name for the corresponding TAS/TAFS as defined in Section 82 of OMB Circular A-11. """ op_1 = ObjectClassProgramActivityFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test') op_2 = ObjectClassProgramActivityFactory(row_number=2, agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[op_1, op_2, pa]) == 0 def test_success_fiscal_year(database): """ Testing valid name for FY that matches with budget_year""" op = ObjectClassProgramActivityFactory(row_number=1, submission_id='1', agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test') pa_1 = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') pa_2 = ProgramActivityFactory(budget_year=2017, agency_id='test2', allocation_transfer_id='test2', account_number='test2', program_activity_name='test2', program_activity_code='test2') submission = SubmissionFactory(submission_id='1', reporting_fiscal_year='2017') assert number_of_errors(_FILE, database, models=[op, pa_1, pa_2], submission=submission) == 0 def test_failure_fiscal_year(database): """ Testing invalid name for FY, not matches with budget_year""" op = ObjectClassProgramActivityFactory(row_number=1, submission_id='1', agency_identifier='test4', main_account_code='test4', program_activity_name='test4', program_activity_code='test4') pa_1 = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') pa_2 = ProgramActivityFactory(budget_year=2017, agency_id='test2', allocation_transfer_id='test2', account_number='test2', program_activity_name='test2', program_activity_code='test2') pa_3 = ProgramActivityFactory(budget_year=2018, agency_id='test3', allocation_transfer_id='test3', account_number='test3', program_activity_name='test3', program_activity_code='test3') pa_4 = ProgramActivityFactory(budget_year=2019, agency_id='test4', allocation_transfer_id='test4', account_number='test4', program_activity_name='test4', program_activity_code='test4') submission = SubmissionFactory(submission_id='1', reporting_fiscal_year='2017') assert number_of_errors(_FILE, database, models=[op, pa_1, pa_2, pa_3, pa_4], submission=submission) == 1 def test_success_unknown_value(database): """ Testing valid Unknown/other program activity name with '0000' code """ op = ObjectClassProgramActivityFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='Unknown/Other', program_activity_code='0000') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[op, pa]) == 0 def test_success_ignore_blank_program_activity_name(database): """ Testing program activity name validation to ignore blanks if monetary sum is 0 """ op = ObjectClassProgramActivityFactory(row_number=1, beginning_period_of_availa=2016, agency_identifier='test', main_account_code='test', program_activity_name='', program_activity_code='test', deobligations_recov_by_pro_cpe=0, gross_outlay_amount_by_pro_cpe=0, gross_outlay_amount_by_pro_fyb=0, gross_outlays_delivered_or_cpe=0, gross_outlays_delivered_or_fyb=0, gross_outlays_undelivered_cpe=0, gross_outlays_undelivered_fyb=0, obligations_delivered_orde_cpe=0, obligations_delivered_orde_fyb=0, obligations_incurred_by_pr_cpe=0, obligations_undelivered_or_cpe=0, obligations_undelivered_or_fyb=0, ussgl480100_undelivered_or_cpe=0, ussgl480100_undelivered_or_fyb=0, ussgl480200_undelivered_or_cpe=0, ussgl480200_undelivered_or_fyb=0, ussgl483100_undelivered_or_cpe=0, ussgl483200_undelivered_or_cpe=0, ussgl487100_downward_adjus_cpe=0, ussgl487200_downward_adjus_cpe=0, ussgl488100_upward_adjustm_cpe=0, ussgl488200_upward_adjustm_cpe=0, ussgl490100_delivered_orde_cpe=0, ussgl490100_delivered_orde_fyb=0, ussgl490200_delivered_orde_cpe=0, ussgl490800_authority_outl_cpe=0, ussgl490800_authority_outl_fyb=0, ussgl493100_delivered_orde_cpe=0, ussgl497100_downward_adjus_cpe=0, ussgl497200_downward_adjus_cpe=0, ussgl498100_upward_adjustm_cpe=0, ussgl498200_upward_adjustm_cpe=0) pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[op, pa]) == 0 def test_success_ignore_case(database): """ Testing program activity validation to ignore case """ op = ObjectClassProgramActivityFactory(row_number=1, beginning_period_of_availa=2016, agency_identifier='test', main_account_code='test', program_activity_name='TEST', program_activity_code='test') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[op, pa]) == 0 def test_failure_program_activity_name(database): """ Testing invalid program activity name for the corresponding TAS/TAFS as defined in Section 82 of OMB Circular A-11. """ op_1 = ObjectClassProgramActivityFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test_wrong', program_activity_code='test') op_2 = ObjectClassProgramActivityFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test_wrong', program_activity_code='0000') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[op_1, op_2, pa]) == 1 def test_failure_program_activity_code(database): op_1 = ObjectClassProgramActivityFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='test', program_activity_code='test_wrong') op_2 = ObjectClassProgramActivityFactory(row_number=1, agency_identifier='test', main_account_code='test', program_activity_name='Unknown/Other', program_activity_code='123456') pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') assert number_of_errors(_FILE, database, models=[op_1, op_2, pa]) == 1 def test_failure_empty_activity_name(database): """ Testing program activity name validation to not ignore blanks if monetary sum is not 0 """ pa = ProgramActivityFactory(budget_year=2016, agency_id='test', allocation_transfer_id='test', account_number='test', program_activity_name='test', program_activity_code='test') # one monetary amount not 0 op = ObjectClassProgramActivityFactory(row_number=1, beginning_period_of_availa=2016, agency_identifier='test', main_account_code='test', program_activity_name='', program_activity_code='test', deobligations_recov_by_pro_cpe=2, gross_outlay_amount_by_pro_cpe=0, gross_outlay_amount_by_pro_fyb=0, gross_outlays_delivered_or_cpe=0, gross_outlays_delivered_or_fyb=0, gross_outlays_undelivered_cpe=0, gross_outlays_undelivered_fyb=0, obligations_delivered_orde_cpe=0, obligations_delivered_orde_fyb=0, obligations_incurred_by_pr_cpe=0, obligations_undelivered_or_cpe=0, obligations_undelivered_or_fyb=0, ussgl480100_undelivered_or_cpe=0, ussgl480100_undelivered_or_fyb=0, ussgl480200_undelivered_or_cpe=0, ussgl480200_undelivered_or_fyb=0, ussgl483100_undelivered_or_cpe=0, ussgl483200_undelivered_or_cpe=0, ussgl487100_downward_adjus_cpe=0, ussgl487200_downward_adjus_cpe=0, ussgl488100_upward_adjustm_cpe=0, ussgl488200_upward_adjustm_cpe=0, ussgl490100_delivered_orde_cpe=0, ussgl490100_delivered_orde_fyb=0, ussgl490200_delivered_orde_cpe=0, ussgl490800_authority_outl_cpe=0, ussgl490800_authority_outl_fyb=0, ussgl493100_delivered_orde_cpe=0, ussgl497100_downward_adjus_cpe=0, ussgl497200_downward_adjus_cpe=0, ussgl498100_upward_adjustm_cpe=0, ussgl498200_upward_adjustm_cpe=0) assert number_of_errors(_FILE, database, models=[op, pa]) == 1 # several monetary amounts not 0 op = ObjectClassProgramActivityFactory(row_number=1, beginning_period_of_availa=2016, agency_identifier='test', main_account_code='test', program_activity_name='', program_activity_code='test', deobligations_recov_by_pro_cpe=2, gross_outlay_amount_by_pro_cpe=0, gross_outlay_amount_by_pro_fyb=0, gross_outlays_delivered_or_cpe=0, gross_outlays_delivered_or_fyb=0, gross_outlays_undelivered_cpe=0, gross_outlays_undelivered_fyb=0, obligations_delivered_orde_cpe=0, obligations_delivered_orde_fyb=-2, obligations_incurred_by_pr_cpe=0, obligations_undelivered_or_cpe=0, obligations_undelivered_or_fyb=0, ussgl480100_undelivered_or_cpe=0, ussgl480100_undelivered_or_fyb=0, ussgl480200_undelivered_or_cpe=0, ussgl480200_undelivered_or_fyb=-0.4, ussgl483100_undelivered_or_cpe=0, ussgl483200_undelivered_or_cpe=0, ussgl487100_downward_adjus_cpe=0.4, ussgl487200_downward_adjus_cpe=0, ussgl488100_upward_adjustm_cpe=0, ussgl488200_upward_adjustm_cpe=0, ussgl490100_delivered_orde_cpe=0, ussgl490100_delivered_orde_fyb=0, ussgl490200_delivered_orde_cpe=0, ussgl490800_authority_outl_cpe=0, ussgl490800_authority_outl_fyb=0, ussgl493100_delivered_orde_cpe=0, ussgl497100_downward_adjus_cpe=0, ussgl497200_downward_adjus_cpe=0, ussgl498100_upward_adjustm_cpe=0, ussgl498200_upward_adjustm_cpe=0) assert number_of_errors(_FILE, database, models=[op, pa]) == 1 # all monetary amounts not 0 op = ObjectClassProgramActivityFactory(row_number=1, beginning_period_of_availa=2016, agency_identifier='test', main_account_code='test', program_activity_name='', program_activity_code='test', deobligations_recov_by_pro_cpe=2, gross_outlay_amount_by_pro_cpe=100, gross_outlay_amount_by_pro_fyb=-0.00003, gross_outlays_delivered_or_cpe=10, gross_outlays_delivered_or_fyb=5, gross_outlays_undelivered_cpe=5, gross_outlays_undelivered_fyb=5, obligations_delivered_orde_cpe=5, obligations_delivered_orde_fyb=-2, obligations_incurred_by_pr_cpe=5, obligations_undelivered_or_cpe=5, obligations_undelivered_or_fyb=5, ussgl480100_undelivered_or_cpe=5, ussgl480100_undelivered_or_fyb=5, ussgl480200_undelivered_or_cpe=5, ussgl480200_undelivered_or_fyb=-0.4, ussgl483100_undelivered_or_cpe=5, ussgl483200_undelivered_or_cpe=5, ussgl487100_downward_adjus_cpe=0.4, ussgl487200_downward_adjus_cpe=5, ussgl488100_upward_adjustm_cpe=5, ussgl488200_upward_adjustm_cpe=5, ussgl490100_delivered_orde_cpe=5, ussgl490100_delivered_orde_fyb=5, ussgl490200_delivered_orde_cpe=5, ussgl490800_authority_outl_cpe=5, ussgl490800_authority_outl_fyb=5, ussgl493100_delivered_orde_cpe=5, ussgl497100_downward_adjus_cpe=5, ussgl497200_downward_adjus_cpe=5, ussgl498100_upward_adjustm_cpe=5, ussgl498200_upward_adjustm_cpe=5) assert number_of_errors(_FILE, database, models=[op, pa]) == 1

71.321739

119

0.623506

1,702

16,404

5.548766

0.091657

0.028801

0.072427

0.053579

0.846569

0.804638

0.794896

0.792143

0.763342

0

0.071058

0.305962

16,404

229

120

71.633188

0.758454

0.04377

0

0.624204

0

0.042235

0.004735

0

0.076433

1

0.063694

false

0

0.025478

0

0.089172

0

null

0

1

0

null

0

6

04a5a695a5fcabe7083d7e5122e03dfb9ec66d54

2,775

py

Python

python/problem8.py

arthurshmidt/euler

de3676364722241e7ef454b7dd47dc2692279114

[ "MIT" ]

null

python/problem8.py

arthurshmidt/euler

de3676364722241e7ef454b7dd47dc2692279114

[ "MIT" ]

null

python/problem8.py

arthurshmidt/euler

de3676364722241e7ef454b7dd47dc2692279114

[ "MIT" ]

null

# The four adjacent digits in the 1000-digit number that have the greatest # product are 9 × 9 × 8 × 9 = 5832. # # 73167176531330624919225119674426574742355349194934 # 96983520312774506326239578318016984801869478851843 # 85861560789112949495459501737958331952853208805511 # 12540698747158523863050715693290963295227443043557 # 66896648950445244523161731856403098711121722383113 # 62229893423380308135336276614282806444486645238749 # 30358907296290491560440772390713810515859307960866 # 70172427121883998797908792274921901699720888093776 # 65727333001053367881220235421809751254540594752243 # 52584907711670556013604839586446706324415722155397 # 53697817977846174064955149290862569321978468622482 # 83972241375657056057490261407972968652414535100474 # 82166370484403199890008895243450658541227588666881 # 16427171479924442928230863465674813919123162824586 # 17866458359124566529476545682848912883142607690042 # 24219022671055626321111109370544217506941658960408 # 07198403850962455444362981230987879927244284909188 # 84580156166097919133875499200524063689912560717606 # 05886116467109405077541002256983155200055935729725 # 71636269561882670428252483600823257530420752963450 # # Find the thirteen adjacent digits in the 1000-digit number that have the greatest # product. What is the value of this product? if __name__ == "__main__": index = 0 temp = 1 product = 0 string_num = "" num = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450" print(len(num)) for i in range(0,len(num)-13): for v in range(0,13): temp *= int(num[i+v]) if temp > product: product = temp index = i temp = 1 for w in range(0,13): string_num = string_num + num[index+w] print(f"index: {index}, number: {string_num}, product: {product}")

57.8125

1,012

0.868829

131

2,775

18.335878

0.48855

0.014988

0.009992

0.01582

0.049958

0

0.808045

0.095135

2,775

47

1,013

59.042553

0.147352

0.452252

0

0.117647

0

0.713137

0.670241

0

1

0

false

0

0.117647

0

1

null

0

1

0

1

0

1

0

1

null

0

6

04a6a60e4ed36e0b207d2c0550af17a2348ddd4b

2,040

py

Python

python/tests/explainer/perpendicular_bisector.py

geometer/sandbox

373ec96e69df76744a19b51f7caa865cbc6b58cd

[ "Apache-2.0" ]

6

2020-04-19T11:26:18.000Z

2021-06-21T18:42:51.000Z

python/tests/explainer/perpendicular_bisector.py

geometer/sandbox

373ec96e69df76744a19b51f7caa865cbc6b58cd

[ "Apache-2.0" ]

31

2020-04-21T17:24:39.000Z

2020-08-27T15:59:12.000Z

python/tests/explainer/perpendicular_bisector.py

geometer/sandbox

373ec96e69df76744a19b51f7caa865cbc6b58cd

[ "Apache-2.0" ]

null

from sandbox import Scene from sandbox.property import PointsCollinearityProperty, SameOrOppositeSideProperty from .base import ExplainerTest class ThreePointsOnPerpendicularBisectorCollinearity1(ExplainerTest): def createScene(self): scene = Scene() A, B, C = scene.nondegenerate_triangle(labels=('A', 'B', 'C')).points D = scene.free_point(label='D') E = scene.free_point(label='E') A.segment(C).congruent_constraint(B.segment(C)) A.segment(D).congruent_constraint(B.segment(D)) A.segment(E).congruent_constraint(B.segment(E)) return scene def test(self): A = self.scene.get('A') B = self.scene.get('B') C = self.scene.get('C') D = self.scene.get('D') E = self.scene.get('E') prop0 = PointsCollinearityProperty(C, D, E, True) prop1 = SameOrOppositeSideProperty(D.segment(E), A, B, False) self.assertIn(prop0, self.explainer.context) self.assertNotIn(prop1, self.explainer.context) self.assertEqual(len(self.explainer.explanation(prop0).reason.all_premises), 6) class ThreePointsOnPerpendicularBisectorCollinearity2(ExplainerTest): def createScene(self): scene = Scene() A, B, C = scene.nondegenerate_triangle(labels=('A', 'B', 'C')).points D = scene.free_point(label='D') E = scene.free_point(label='E') A.segment(C).congruent_constraint(B.segment(C)) A.segment(D).congruent_constraint(B.segment(D)) A.segment(E).congruent_constraint(B.segment(E)) D.not_equal_constraint(E) return scene def test(self): A = self.scene.get('A') B = self.scene.get('B') C = self.scene.get('C') D = self.scene.get('D') E = self.scene.get('E') prop0 = PointsCollinearityProperty(C, D, E, True) prop1 = SameOrOppositeSideProperty(D.segment(E), A, B, False) self.assertIn(prop0, self.explainer.context) self.assertIn(prop1, self.explainer.context)

37.090909

87

0.642647

252

2,040

5.142857

0.198413

0.083333

0.092593

0.125

0.704475

0

0.007524

0.218137

2,040

54

88

37.777778

0.805016

0

0.8

0

0.009804

0

0.111111

1

0.088889

false

0

0.066667

0

0.244444

0

null

0

1

0

1

0

null

0

6

04c79fd8181fb7085179cad9a55e285699a28f9b

48

py

Python

brutelogger/__init__.py

giuse/brutelogger

1979576b7d78f2e35cdf12b936d912783f7a1d34

[ "MIT" ]

1

2021-05-14T10:21:35.000Z

brutelogger/__init__.py

giuse/brutelogger

1979576b7d78f2e35cdf12b936d912783f7a1d34

[ "MIT" ]

null

brutelogger/__init__.py

giuse/brutelogger

1979576b7d78f2e35cdf12b936d912783f7a1d34

[ "MIT" ]

null

from brutelogger.brutelogger import BruteLogger

24

47

0.895833

5

48

8.6

0.6

0

0.083333

48

1

48

0.977273

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

04cc1c4ea7eddf281db797b317f9a62bf677dac7

74

py

Python

src/bitstream_python/__init__.py

devast8a/bitstream

b834b31083bfff0d42c508363bd97fba78161d92

[ "MIT" ]

null

src/bitstream_python/__init__.py

devast8a/bitstream

b834b31083bfff0d42c508363bd97fba78161d92

[ "MIT" ]

2

2016-02-27T04:49:57.000Z

2016-02-27T04:50:58.000Z

src/bitstream_python/__init__.py

devast8a/bitstream_python

b834b31083bfff0d42c508363bd97fba78161d92

[ "MIT" ]

null

from bitstream import * import types_python_primitives import types_numpy

18.5

30

0.878378

10

74

6.2

0.7

0.354839

0

0.108108

74

3

31

24.666667

0.939394

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

04ea8f3034f0d15cde9f6b3005d6282d7a547dee

32

py

Python

littleweb/__init__.py

lujin123/asynclittle

b215113d63a99b1ece0948acf860d405e45d74c2

[ "Apache-2.0" ]

1

2019-06-20T15:55:49.000Z

littleweb/__init__.py

lujin123/asynclittle

b215113d63a99b1ece0948acf860d405e45d74c2

[ "Apache-2.0" ]

null

littleweb/__init__.py

lujin123/asynclittle

b215113d63a99b1ece0948acf860d405e45d74c2

[ "Apache-2.0" ]

null

# Created by lujin at 10/12/2017

32

0.75

7

32

3.428571

1

0

0.296296

0.15625

32

1

32

0.592593

0.9375

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

6

b6e4bb1815f48df5f13bb1d170b1b0b61834b332

154

py

Python

zzr_mailer/content/models/__init__.py

AHRJ/mailer

a16f66b45b782676d5138c5102734573fded8a48

[ "MIT" ]

null

zzr_mailer/content/models/__init__.py

AHRJ/mailer

a16f66b45b782676d5138c5102734573fded8a48

[ "MIT" ]

10

2021-07-09T08:26:33.000Z

2022-03-31T07:17:52.000Z

zzr_mailer/content/models/__init__.py

AHRJ/mailer

a16f66b45b782676d5138c5102734573fded8a48

[ "MIT" ]

null

from .advertisement import Advertisement # noqa from .article import Article # noqa from .journal import Journal # noqa from .news import News # noqa

30.8

48

0.766234

20

154

5.9

0.35

0.20339

0

0.181818

154

4

49

38.5

0.936508

0.123377

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

b6e577df84a5880325f470701d06927e94aa872f

292

py

Python

molecule/resources/tests/default_pyenv_root.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

molecule/resources/tests/default_pyenv_root.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

molecule/resources/tests/default_pyenv_root.py

hurricanehrndz/ansible-pyenv

fd1db76d1baf98ba70d801725097a752071fcda3

[ "MIT" ]

null

def get_pyenv_root(): return "/usr/local/pyenv" def get_user(): return "root" def get_group(): return "root" def get_rc_file(): return "/etc/profile.d/pyenv.sh" def get_python_test_case(): return "3.9.0", True def get_venv_test_case(): return "neovim", True

12.695652

36

0.650685

46

292

3.869565

0.521739

0.202247

0.146067

0.179775

0

0.012931

0.205479

292

22

37

13.272727

0.75431

0

0.166667

0

0.19863

0.078767

0

1

0.5

true

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

6

8e116a521cc2e4cd114d40fbf4676381c32fce31

188

py

Python

backend/db/entities/laporan/shift.py

R-N/sistem_gaji_vue_thrift

9ba800b4d8e7849e2c6c4016cb32633caab087be

[ "MIT" ]

null

backend/db/entities/laporan/shift.py

R-N/sistem_gaji_vue_thrift

9ba800b4d8e7849e2c6c4016cb32633caab087be

[ "MIT" ]

null

backend/db/entities/laporan/shift.py

R-N/sistem_gaji_vue_thrift

9ba800b4d8e7849e2c6c4016cb32633caab087be

[ "MIT" ]

null

from sqlalchemy.orm import reconstructor from .base import DbLaporanEntity from ..mixin import MxShiftBase, MxCommited class DbShift(MxCommited, MxShiftBase, DbLaporanEntity): pass

20.888889

56

0.81383

20

188

7.65

0.65

0

0.132979

188

8

57

23.5

0.93865

0

1

0

true

0.2

0.6

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

6

f3e9fd893919c29001a1515fb29a637eb4f50c48

131

py

Python

generate_zip.py

tormak/zipper-swapper

ecd342d82dcc762ea71022fa03868c82759d157e

[ "Apache-2.0" ]

null

generate_zip.py

tormak/zipper-swapper

ecd342d82dcc762ea71022fa03868c82759d157e

[ "Apache-2.0" ]

null

generate_zip.py

tormak/zipper-swapper

ecd342d82dcc762ea71022fa03868c82759d157e

[ "Apache-2.0" ]

null

import zipfile import sys with zipfile.ZipFile('test.zip', 'a') as file_zip: file_zip.write('12.txt') file_zip.write('2')

18.714286

50

0.687023

22

131

3.954545

0.590909

0.241379

0.275862

0

0.027027

0.152672

131

6

51

21.833333

0.756757

0

0.122137

0

1

0

true

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

6d133ca2afa0576d2090debedeb9334e295f706c

3,934

py

Python

panel_disconnect.py

RentadroneCL/model-definition

9dab1f1a808a1efc54d64144745277396c145ff7

[ "MIT" ]

2

2020-01-22T19:54:16.000Z

2020-02-07T12:20:17.000Z

panel_disconnect.py

RentadroneCL/model-definition

9dab1f1a808a1efc54d64144745277396c145ff7

[ "MIT" ]

4

2020-06-03T00:27:22.000Z

2020-07-15T17:15:23.000Z

panel_disconnect.py

RentadroneCL/model-definition

9dab1f1a808a1efc54d64144745277396c145ff7

[ "MIT" ]

1

2020-01-21T22:38:22.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Mar 17 13:55:42 2020 @author: dlsaavedra """ import numpy as np def disconnect(image, boxes, obj_thresh = 0.5, area_min = 400, merge = 0, z_thresh = 1.8): new_boxes = [] for num, box in enumerate(boxes): xmin = box.xmin + merge xmax = box.xmax - merge ymin = box.ymin + merge ymax = box.ymax - merge if xmin > 0 and ymin > 0 and xmax < image.shape[1] and ymax < image.shape[0] and box.get_score() > obj_thresh: area = (ymax - ymin)*(xmax - xmin) z_score = np.sum(image[np.int(ymin):np.int(ymax), np.int(xmin):np.int(xmax)]) / area if area > area_min: box.z_score = z_score new_boxes.append(box) #boxes_area_score[str(num)] = {'xmin': xmin, 'xmax': xmax, 'ymin': ymin, 'ymax': ymax, 'score' : score, 'area' : area} mean_score = np.mean([box.z_score for box in new_boxes]) sd_score = np.std([box.z_score for box in new_boxes]) new_boxes = [box for box in new_boxes if (box.z_score - mean_score)/sd_score > z_thresh] for box in new_boxes: z_score = (box.z_score - mean_score)/sd_score box.classes[0] = min((z_score-z_thresh)*0.5/(3-z_thresh)+ 0.5, 1) box.score = -1 return new_boxes def disconnect_plot(image, boxes, obj_thresh = 0.5, area_min = 400, merge = 0, z_thresh = 1.8): new_boxes = [] for num, box in enumerate(boxes): xmin = box.xmin + merge xmax = box.xmax - merge ymin = box.ymin + merge ymax = box.ymax - merge if xmin > 0 and ymin > 0 and xmax < image.shape[1] and ymax < image.shape[0] and box.get_score() > obj_thresh: area = (ymax - ymin)*(xmax - xmin) z_score = np.sum(image[np.int(ymin):np.int(ymax), np.int(xmin):np.int(xmax)]) / area if area > area_min: box.z_score = z_score new_boxes.append(box) #boxes_area_score[str(num)] = {'xmin': xmin, 'xmax': xmax, 'ymin': ymin, 'ymax': ymax, 'score' : score, 'area' : area} mean_score = np.mean([box.z_score for box in new_boxes]) sd_score = np.std([box.z_score for box in new_boxes]) normal_score = ([box.z_score for box in new_boxes] - mean_score)/sd_score # plt.figure() # _ = plt.hist(normal_score, bins='auto') # arguments are passed to np.histogram # plt.title("Histogram with 'auto' bins") # plt.show() # # plt.figure() # mean = np.mean([boxes_area_score[i]['area'] for i in boxes_area_score]) # sd = np.std([boxes_area_score[i]['area'] for i in boxes_area_score]) # normal = ([boxes_area_score[i]['area'] for i in boxes_area_score] - mean)/sd # _ = plt.hist(normal, bins='auto') # arguments are passed to np.histogram # plt.title("Histogram with 'auto' bins") # plt.show() new_boxes = [box for box in new_boxes if (box.z_score - mean_score)/sd_score > z_thresh] for box in new_boxes: z_score = (box.z_score - mean_score)/sd_score box.classes[0] = min((z_score-z_thresh)*0.5/(3-z_thresh)+ 0.5, 1) colors = plt.cm.brg(np.linspace(0, 1, 21)).tolist() plt.figure(figsize=(10,6)) plt.imshow(I,cmap = 'gray') current_axis = plt.gca() for box in new_boxes: color = colors[2] #boxes_area_score[key]['score_norm'] = (boxes_area_score[key]['score'] - mean) / sd #z_score = (box.score - mean_score) / sd_score #z_score = (boxes_area_score[key]['area'] ) ### Escribe el z-score #if z_score > 1: current_axis.text((box.xmin + box.xmax)/2, (box.ymin+ box.ymax)/2, '%.2f' % box.classes[0], size='x-large', color='white', bbox={'facecolor':color, 'alpha':1.0}) return new_boxes

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py

Python

mindefuse/problem/secret/__init__.py

sinistro14/mindefuse

c7371a81731d0b9a03d3ef18f91c336e4135c17d

[ "MIT" ]

null

mindefuse/problem/secret/__init__.py

sinistro14/mindefuse

c7371a81731d0b9a03d3ef18f91c336e4135c17d

[ "MIT" ]

1

2019-08-22T19:51:12.000Z

mindefuse/problem/secret/__init__.py

sinistro14/mindefuse

c7371a81731d0b9a03d3ef18f91c336e4135c17d

[ "MIT" ]

null

#!/usr/bin/env python3.7 from .secret import Secret from .secret_types import SecretTypes from .secret_factory import SecretFactory

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edb5aac8197239c588429007ced012e9659b4a1f

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py

Python

vcauth/admin.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

5

2021-01-14T03:34:42.000Z

2022-03-07T15:34:18.000Z

vcauth/admin.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

551

2020-10-19T00:02:38.000Z

2022-03-30T02:18:22.000Z

vcauth/admin.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

null

from django.contrib import admin from django.contrib.auth.models import User from vcauth.user_admin import CustomUserAdmin admin.site.unregister(User) admin.site.register(User, CustomUserAdmin)

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6121c390b795f28167daa872759644b141c80430

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py

Python

uk_election_timetables/elections/__init__.py

DemocracyClub/uk-election-timetables

2541f9e5050a393906bafa2b70709fe650de3f32

[ "MIT" ]

2

2020-11-14T15:56:56.000Z

2021-01-11T11:11:09.000Z

uk_election_timetables/elections/__init__.py

DemocracyClub/uk-election-timetables

2541f9e5050a393906bafa2b70709fe650de3f32

[ "MIT" ]

12

2020-11-18T20:27:43.000Z

2021-12-15T10:47:01.000Z

uk_election_timetables/elections/__init__.py

DemocracyClub/uk-election-timetables

2541f9e5050a393906bafa2b70709fe650de3f32

[ "MIT" ]

null

from uk_election_timetables.elections.scottish_parliament import * from uk_election_timetables.elections.senedd_cymru import * from uk_election_timetables.elections.greater_london_assembly import * from uk_election_timetables.elections.northern_ireland_assembly import * from uk_election_timetables.elections.local import * from uk_election_timetables.elections.uk_parliament import * from uk_election_timetables.elections.police_and_crime_commissioner import * from uk_election_timetables.elections.mayor import *

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612a97a90be2b64abb318b18fd0688833b207c63

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py

Python

01-Deploy-To-AWS/sls-flask-ml-test/utils/__init__.py

amitkml/TSAI-DeepVision-EVA4.0-Phase-2

f9e232b3eb6ce20f522136523e79208ed85a1f28

[ "MIT" ]

1

2021-03-21T08:45:05.000Z

01-Deploy-To-AWS/sls-flask-ml-test/utils/__init__.py

amitkml/TSAI-DeepVision-EVA4.0-Phase-2

f9e232b3eb6ce20f522136523e79208ed85a1f28

[ "MIT" ]

null

01-Deploy-To-AWS/sls-flask-ml-test/utils/__init__.py

amitkml/TSAI-DeepVision-EVA4.0-Phase-2

f9e232b3eb6ce20f522136523e79208ed85a1f28

[ "MIT" ]

null

from .imagenet_utils import idx2label from .model_utils import transform_image, classify_image from .logger import setup_logger from .upload_utils import allowed_file

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6

b63f1f74164c085ea50cbab7a7c7b3c78e2d8ec3

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py

Python

pymm/__init__.py

lancekindle/pymm

77f0cfc32a6819781cf61e3c311f1340406e3fba

[ "MIT" ]

12

2015-09-26T07:52:49.000Z

2021-07-09T00:26:09.000Z

pymm/__init__.py

lancekindle/pymm

77f0cfc32a6819781cf61e3c311f1340406e3fba

[ "MIT" ]

2

2015-10-06T12:54:25.000Z

2015-10-29T17:50:34.000Z

pymm/__init__.py

lancekindle/pymm

77f0cfc32a6819781cf61e3c311f1340406e3fba

[ "MIT" ]

7

2015-10-05T13:22:26.000Z

2021-09-03T18:32:41.000Z

from .pymm import *

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fcacfa149dcd871ed680e984e72f46019265f5af

3,437

py

Python

backend/tests/test_passport.py

ryanmahan/police-data-trust

e001e699adbc416f26a4f8fa64d56a1ef17e76fb

[ "MIT" ]

null

backend/tests/test_passport.py

ryanmahan/police-data-trust

e001e699adbc416f26a4f8fa64d56a1ef17e76fb

[ "MIT" ]

null

backend/tests/test_passport.py

ryanmahan/police-data-trust

e001e699adbc416f26a4f8fa64d56a1ef17e76fb

[ "MIT" ]

null

import pytest from backend.database.models.passport_request import RequestStatus from backend.database.models.types.enums import UserRole from ..database import PassportRequest, User from .conftest import example_password def test_create_request(client, db_session, example_user): res = client.post( "api/v1/passportRequests", json={ "role": UserRole.PASSPORT, "user_id": example_user.id, }, ) print(res) db_request = db_session.query(PassportRequest).filter(PassportRequest.user_id == example_user.id).first() assert (db_request is not None) assert res.status_code == 200 def test_double_request(client, db_session, example_user): res = client.post( "api/v1/passportRequests", json={ "role": UserRole.PASSPORT, "user_id": example_user.id, }, ) db_count = db_session.query(PassportRequest).filter(PassportRequest.user_id == example_user.id).first() assert (db_count is not None) assert res.status_code == 200 res = client.post( "api/v1/passportRequests", json={ "role": UserRole.PASSPORT, "user_id": example_user.id, }, ) db_count = db_session.query(PassportRequest).filter(PassportRequest.user_id == example_user.id).count() assert db_count == 1 assert res.status_code == 400 def test_approve_request(client, db_session, example_user, admin_user): request = PassportRequest( user_id = example_user.id, role = UserRole.PASSPORT ) db_session.add(request); db_session.commit(); login_res = client.post( "api/v1/auth/login", json = { "email": admin_user.email, "password": example_password, } ) res = client.put( "api/v1/passportRequests/{}/status".format(request.id), json={ "status": RequestStatus.APPROVED, }, headers={ "Authorization": "Bearer {0}".format(login_res.json["access_token"]) }, ) db_user = User.get(example_user.id) assert res.status_code == 200 assert db_user.role == UserRole.PASSPORT def test_deny_request(client, db_session, example_user, admin_user): request = PassportRequest( user_id = example_user.id, role = UserRole.PASSPORT ) db_session.add(request); db_session.commit(); login_res = client.post( "api/v1/auth/login", json = { "email": admin_user.email, "password": example_password, } ) res = client.put( "api/v1/passportRequests/{}/status".format(request.id), json={ "status": RequestStatus.DENIED, }, headers={ "Authorization": "Bearer {0}".format(login_res.json["access_token"]) }, ) db_user = User.get(example_user.id) assert res.status_code == 200 assert db_user.role == UserRole.PUBLIC def test_get_request(db_session, client, admin_user, example_user): request = PassportRequest( user_id = example_user.id, role = UserRole.PASSPORT ) db_session.add(request); db_session.commit(); login_res = client.post( "api/v1/auth/login", json={ "email": admin_user.email, "password": example_password, } ) res = client.get( "api/v1/passportRequests/{0}".format(request.id), headers={ "Authorization": "Bearer {0}".format(login_res.json["access_token"]) }, ) assert res.status_code == 200 assert res.json["user_id"] == example_user.id assert res.json["role"] == request.role

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6

fcdbcb6e97797fdf0895dab3bb21f3eb00c82cfa

2,988

gyp

Python

Deps/libmikmod-gyp/libmikmod.gyp

Marisa-Chan/surreal

fd8136209941347a4f83645c461a0249dc85a281

[ "Artistic-1.0" ]

4

2016-12-22T01:42:44.000Z

2018-09-21T22:13:23.000Z

Deps/libmikmod-gyp/libmikmod.gyp

Marisa-Chan/surreal

fd8136209941347a4f83645c461a0249dc85a281

[ "Artistic-1.0" ]

null

Deps/libmikmod-gyp/libmikmod.gyp

Marisa-Chan/surreal

fd8136209941347a4f83645c461a0249dc85a281

[ "Artistic-1.0" ]

null

{ "variables": { "library%": "shared_library", "mikmod_dir%": "../libmikmod" }, "target_defaults": { "include_dirs": [ "include", "<(mikmod_dir)/include" ], "defines": [ "HAVE_CONFIG_H" ], "cflags": [ "-Wall", "-finline-functions", "-funroll-loops", "-ffast-math" ], "target_conditions": [ ["OS == 'win'", { "defines": [ "WIN32" ] }], ["OS != 'win'", { "defines": [ "unix" ] }], ["_type == 'shared_library' and OS == 'win'", { "defines": [ "DLL_EXPORTS" ] }], ["_type == 'shared_library' and OS == 'linux'", { "cflags": [ "-fPIC" ] }] ], "default_configuration": "Release", "configurations": { "Debug": { "defines": [ "MIKMOD_DEBUG" ], "cflags": [ "-g3", "-Werror" ], "msvs_settings": { "VCCLCompilerTool": { "RuntimeLibrary": 3 } } }, "Release": { "cflags": [ "-g", "-O2" ], "msvs_settings": { "VCCLCompilerTool": { "RuntimeLibrary": 2 } } } } }, "targets": [ { "target_name": "mikmod", "type": "<(library)", "product_dir": "../../System", "sources": [ "<(mikmod_dir)/drivers/drv_nos.c", "<(mikmod_dir)/drivers/drv_raw.c", "<(mikmod_dir)/drivers/drv_stdout.c", "<(mikmod_dir)/drivers/drv_wav.c", "<(mikmod_dir)/loaders/load_669.c", "<(mikmod_dir)/loaders/load_amf.c", "<(mikmod_dir)/loaders/load_asy.c", "<(mikmod_dir)/loaders/load_dsm.c", "<(mikmod_dir)/loaders/load_far.c", "<(mikmod_dir)/loaders/load_gdm.c", "<(mikmod_dir)/loaders/load_gt2.c", "<(mikmod_dir)/loaders/load_it.c", "<(mikmod_dir)/loaders/load_imf.c", "<(mikmod_dir)/loaders/load_m15.c", "<(mikmod_dir)/loaders/load_med.c", "<(mikmod_dir)/loaders/load_mod.c", "<(mikmod_dir)/loaders/load_mtm.c", "<(mikmod_dir)/loaders/load_okt.c", "<(mikmod_dir)/loaders/load_s3m.c", "<(mikmod_dir)/loaders/load_stm.c", "<(mikmod_dir)/loaders/load_stx.c", "<(mikmod_dir)/loaders/load_ult.c", "<(mikmod_dir)/loaders/load_uni.c", "<(mikmod_dir)/loaders/load_xm.c", "<(mikmod_dir)/mmio/mmalloc.c", "<(mikmod_dir)/mmio/mmerror.c", "<(mikmod_dir)/mmio/mmio.c", "<(mikmod_dir)/playercode/mdriver.c", "<(mikmod_dir)/playercode/mdreg.c", "<(mikmod_dir)/playercode/mdulaw.c", "<(mikmod_dir)/playercode/mloader.c", "<(mikmod_dir)/playercode/mlreg.c", "<(mikmod_dir)/playercode/mlutil.c", "<(mikmod_dir)/playercode/mplayer.c", "<(mikmod_dir)/playercode/munitrk.c", "<(mikmod_dir)/playercode/mwav.c", "<(mikmod_dir)/playercode/npertab.c", "<(mikmod_dir)/playercode/sloader.c", "<(mikmod_dir)/playercode/virtch.c", "<(mikmod_dir)/playercode/virtch2.c", "<(mikmod_dir)/playercode/virtch_common.c" ], "all_dependent_settings": { "include_dirs": [ "include", "<(mikmod_dir)/include" ] }, "conditions": [ ["OS != 'win'", { "libraries": [ "-lm" ] }] ] } ] }

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py

Python

ckan/ckanext-spatial/ckanext/spatial/tests/functional/test_package.py

lorenzoeusepi77/ckan

3a620e9c81ba1750d12941c02184092d507f71df

[ "Apache-2.0" ]

null

ckan/ckanext-spatial/ckanext/spatial/tests/functional/test_package.py

lorenzoeusepi77/ckan

3a620e9c81ba1750d12941c02184092d507f71df

[ "Apache-2.0" ]

null

ckan/ckanext-spatial/ckanext/spatial/tests/functional/test_package.py

lorenzoeusepi77/ckan

3a620e9c81ba1750d12941c02184092d507f71df

[ "Apache-2.0" ]

null

import json from nose.tools import assert_equals from ckan.model import Session from ckan.lib.helpers import url_for try: import ckan.new_tests.helpers as helpers import ckan.new_tests.factories as factories except ImportError: import ckan.tests.helpers as helpers import ckan.tests.factories as factories from ckanext.spatial.model import PackageExtent from ckanext.spatial.geoalchemy_common import legacy_geoalchemy from ckanext.spatial.tests.base import SpatialTestBase class TestSpatialExtra(SpatialTestBase, helpers.FunctionalTestBase): def test_spatial_extra(self): app = self._get_test_app() user = factories.User() env = {'REMOTE_USER': user['name'].encode('ascii')} dataset = factories.Dataset(user=user) offset = url_for(controller='package', action='edit', id=dataset['id']) res = app.get(offset, extra_environ=env) form = res.forms[1] form['extras__0__key'] = u'spatial' form['extras__0__value'] = self.geojson_examples['point'] res = helpers.submit_and_follow(app, form, env, 'save') assert 'Error' not in res, res package_extent = Session.query(PackageExtent) \ .filter(PackageExtent.package_id == dataset['id']).first() geojson = json.loads(self.geojson_examples['point']) assert_equals(package_extent.package_id, dataset['id']) if legacy_geoalchemy: assert_equals(Session.scalar(package_extent.the_geom.x), geojson['coordinates'][0]) assert_equals(Session.scalar(package_extent.the_geom.y), geojson['coordinates'][1]) assert_equals(Session.scalar(package_extent.the_geom.srid), self.db_srid) else: from sqlalchemy import func assert_equals( Session.query(func.ST_X(package_extent.the_geom)).first()[0], geojson['coordinates'][0]) assert_equals( Session.query(func.ST_Y(package_extent.the_geom)).first()[0], geojson['coordinates'][1]) assert_equals(package_extent.the_geom.srid, self.db_srid) def test_spatial_extra_edit(self): app = self._get_test_app() user = factories.User() env = {'REMOTE_USER': user['name'].encode('ascii')} dataset = factories.Dataset(user=user) offset = url_for(controller='package', action='edit', id=dataset['id']) res = app.get(offset, extra_environ=env) form = res.forms[1] form['extras__0__key'] = u'spatial' form['extras__0__value'] = self.geojson_examples['point'] res = helpers.submit_and_follow(app, form, env, 'save') assert 'Error' not in res, res res = app.get(offset, extra_environ=env) form = res.forms[1] form['extras__0__key'] = u'spatial' form['extras__0__value'] = self.geojson_examples['polygon'] res = helpers.submit_and_follow(app, form, env, 'save') assert 'Error' not in res, res package_extent = Session.query(PackageExtent) \ .filter(PackageExtent.package_id == dataset['id']).first() assert_equals(package_extent.package_id, dataset['id']) if legacy_geoalchemy: assert_equals( Session.scalar(package_extent.the_geom.geometry_type), 'ST_Polygon') assert_equals( Session.scalar(package_extent.the_geom.srid), self.db_srid) else: from sqlalchemy import func assert_equals( Session.query( func.ST_GeometryType(package_extent.the_geom)).first()[0], 'ST_Polygon') assert_equals(package_extent.the_geom.srid, self.db_srid) def test_spatial_extra_bad_json(self): app = self._get_test_app() user = factories.User() env = {'REMOTE_USER': user['name'].encode('ascii')} dataset = factories.Dataset(user=user) offset = url_for(controller='package', action='edit', id=dataset['id']) res = app.get(offset, extra_environ=env) form = res.forms[1] form['extras__0__key'] = u'spatial' form['extras__0__value'] = u'{"Type":Bad Json]' res = helpers.webtest_submit(form, extra_environ=env, name='save') assert 'Error' in res, res assert 'Spatial' in res assert 'Error decoding JSON object' in res def test_spatial_extra_bad_geojson(self): app = self._get_test_app() user = factories.User() env = {'REMOTE_USER': user['name'].encode('ascii')} dataset = factories.Dataset(user=user) offset = url_for(controller='package', action='edit', id=dataset['id']) res = app.get(offset, extra_environ=env) form = res.forms[1] form['extras__0__key'] = u'spatial' form['extras__0__value'] = u'{"Type":"Bad_GeoJSON","a":2}' res = helpers.webtest_submit(form, extra_environ=env, name='save') assert 'Error' in res, res assert 'Spatial' in res assert 'Error creating geometry' in res

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1e4807ed7d647e37b97a0870abc07079c3523802

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py

Python

windowsbuild/MSVC2017/python/3.7.7/Lib/site-packages/shiboken2_generator/__init__.py

Tech-XCorp/visit-deps

23e2bd534bf9c332d6b7d32310495f1f65b1b936

[ "BSD-3-Clause" ]

null

windowsbuild/MSVC2017/python/3.7.7/Lib/site-packages/shiboken2_generator/__init__.py

Tech-XCorp/visit-deps

23e2bd534bf9c332d6b7d32310495f1f65b1b936

[ "BSD-3-Clause" ]

null

windowsbuild/MSVC2017/python/3.7.7/Lib/site-packages/shiboken2_generator/__init__.py

Tech-XCorp/visit-deps

23e2bd534bf9c332d6b7d32310495f1f65b1b936

[ "BSD-3-Clause" ]

null

__version__ = "5.14.2.3" __version_info__ = (5, 14, 2.3, "", "")

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py

Python

app/app/calc.py

JosephKithome/recipeApi

98497f8bf6e9a36a50c26cbc573b0b2fdab826d3

[ "MIT" ]

null

app/app/calc.py

JosephKithome/recipeApi

98497f8bf6e9a36a50c26cbc573b0b2fdab826d3

[ "MIT" ]

null

app/app/calc.py

JosephKithome/recipeApi

98497f8bf6e9a36a50c26cbc573b0b2fdab826d3

[ "MIT" ]

null

def add(x, y): """Sum two numbers""" return x + y def subtract(x, y): """Subtract two numbers""" return x - y

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py

Python

unit_tests/web_tests/test_web_config.py

hep-gc/cloud-scheduler-2

180d9dc4f8751cf8c8254518e46f83f118187e84

[ "Apache-2.0" ]

null

unit_tests/web_tests/test_web_config.py

hep-gc/cloud-scheduler-2

180d9dc4f8751cf8c8254518e46f83f118187e84

[ "Apache-2.0" ]

null

unit_tests/web_tests/test_web_config.py

hep-gc/cloud-scheduler-2

180d9dc4f8751cf8c8254518e46f83f118187e84

[ "Apache-2.0" ]

null

if __name__ == "__main__" or __name__ == "test_web_config": __package__ = 'cloudscheduler.unit_tests.web_tests' import unittest import sys from . import web_test_setup_cleanup as wtsc from . import web_test_assertions_v2 as wta from . import web_test_page_objects as pages from . import web_test_helpers as helpers class TestWebConfigCommon(unittest.TestCase): """A class for the config tests that should be repeated in all iterations.""" @classmethod def setUpClass(cls): cls.page = pages.ConfigPage(cls.driver, cls.gvar['address']) cls.oversize = cls.gvar['oversize'] def setUp(self): self.page.get_homepage() self.page.click_top_nav('System Config') def test_web_config_find(self): # Finds the config page pass # All tests in this file should reverse themselves if they perform any saved # action # Tests are organized by file, because each one is unique # Currently, the tested files are: # condor_poller.py # Tests for condor_poller.py def test_web_config_update_condor_poller_batch_commit_size(self): # Changes the condor poller's batch commit size and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_value_batch_commit_size() self.page.type_batch_commit_size('40') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_batch_commit_size(), '40') # reverse self.page.type_batch_commit_size(original) self.page.click_update_config() def test_web_config_update_condor_poller_batch_commit_size_float(self): # Tries to change the condor poller's batch commit size to a float self.page.click_side_button('condor_poller.py') self.page.type_batch_commit_size('50.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_batch_commit_size(), '50.5') def test_web_config_update_condor_poller_batch_commit_size_string(self): # Tries to change the condor poller's batch commit size to a string self.page.click_side_button('condor_poller.py') self.page.type_batch_commit_size('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_batch_commit_size(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_batch_commit_size_too_big(self): # Tris to change the condor poller's batch commit size to an int that's too large for the database self.page.click_side_button('condor_poller.py') self.page.type_batch_commit_size(str(self.oversize['int_11'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_batch_commit_size(), str(self.oversize['int_11'])) def test_web_config_update_condor_poller_delete_cycle_interval(self): # Changes the condor poller's delete cycle interval (and reverses it) self.page.click_side_button('condor_poller.py') original = self.page.get_value_delete_cycle_interval() self.page.type_delete_cycle_interval('5') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_delete_cycle_interval(), '5') # reverse self.page.type_delete_cycle_interval(original) self.page.click_update_config() def test_web_config_update_condor_poller_delete_cycle_interval_float(self): # Tries to change the condor poller's delete cycle interval to a float self.page.click_side_button('condor_poller.py') self.page.type_delete_cycle_interval('1.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_delete_cycle_interval(), '1.5') def test_web_config_update_condor_poller_delete_cycle_interval_string(self): # Tries to change the condor poller's delete cycle interval to a string self.page.click_side_button('condor_poller.py') self.page.type_delete_cycle_interval('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_delete_cycle_interval(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_delete_cycle_interval_too_big(self): # Tries to change the condor poller's delete cycle interval to an int that's too big for the database self.page.click_side_button('condor_poller.py') self.page.type_delete_cycle_interval(str(self.oversize['bigint_20'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertFalse(self.page.get_value_delete_cycle_interval(), str(self.oversize['bigint_20'])) def test_web_config_update_condor_poller_log_level(self): # Changes the condor poller's log level and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_text_log_level() self.page.select_log_level('WARNING') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_text_log_level(), 'WARNING') # reverse self.page.select_log_level(original) self.page.click_update_config() def test_web_config_update_condor_poller_retire_interval(self): # Changes the condor poller's retire interval and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_value_retire_interval() self.page.type_retire_interval('1024') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_retire_interval(), '1024') # reverse self.page.type_retire_interval(original) self.page.click_update_config() def test_web_config_update_condor_poller_retire_interval_float(self): # Tries to change the condor poller's retire interval to a float self.page.click_side_button('condor_poller.py') self.page.type_retire_interval('1200.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_retire_interval(), '1200.5') def test_web_config_update_condor_poller_retire_interval_string(self): # Tries to change the condor poller's retire interval to a string self.page.click_side_button('condor_poller.py') self.page.type_retire_interval('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_retire_interval(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_retire_interval_too_big(self): # Tries to change the condor poller's retire interval to an int that's too big for the database self.page.click_side_button('condor_poller.py') self.page.type_retire_interval(str(self.oversize['int_11'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.driver.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_retire_interval(), str(self.oversize['int_11'])) def test_web_config_update_condor_poller_retire_off(self): # Changes the condor poller's retire attribute and reverses it self.page.click_side_button('condor_poller.py') self.page.click_retire_off() self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) # TODO: Assertion? #self.assertEqual(self.page.get_value_batch_commit_size(), '40') # reverse self.page.click_retire_off() self.page.click_update_config() def test_web_config_update_condor_poller_sleep_interval_command(self): # Changes the condor poller's command sleep interval and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_value_sleep_interval_command() self.page.type_sleep_interval_command('16') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_sleep_interval_command(), '16') # reverse self.page.type_sleep_interval_command(original) self.page.click_update_config() def test_web_config_update_condor_poller_sleep_interval_command_float(self): # Tries to change the condor poller's command sleep interval to a float self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_command('15.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_command(), '15.5') def test_web_config_update_condor_poller_sleep_interval_command_string(self): # Tries to change the condor poller's command sleep interval to a string self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_command('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_command(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_sleep_interval_command_too_big(self): # Tries to change the condor poller's command sleep interval to one that's too big for the database self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_command(str(self.oversize['int_11'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_command(), str(self.oversize['int_11'])) def test_web_config_update_condor_poller_sleep_interval_condor_gsi(self): # Changes the condor poller's GSI sleep interval and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_value_sleep_interval_condor_gsi() self.page.type_sleep_interval_condor_gsi('4096') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_sleep_interval_condor_gsi(), '4096') # reverse self.page.type_sleep_interval_condor_gsi(original) self.page.click_update_config() def test_web_config_update_condor_poller_sleep_interval_condor_gsi_float(self): # Tries to change the condor poller's GSI sleep interval to a float self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_condor_gsi('3600.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_condor_gsi(), '3600.5') def test_web_config_update_condor_poller_sleep_interval_condor_gsi_string(self): # Tries to change the condor poller's GSI sleep interval to a string self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_condor_gsi('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_condor_gsi(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_sleep_interval_condor_gsi_too_big(self): # Tries to change the condor poller's GSI sleep interval to an int that's too big for the database self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_condor_gsi(str(self.oversize['int_11'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_condor_gsi(), str(self.oversize['int_11'])) def test_web_config_update_condor_poller_sleep_interval_job(self): # Changes the condor poller's job sleep interval and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_value_sleep_interval_job() self.page.type_sleep_interval_job('16') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_sleep_interval_job(), '16') # reverse self.page.type_sleep_interval_job(original) self.page.click_update_config() def test_web_config_update_condor_poller_sleep_interval_job_float(self): # Tries to change the condor poller's job sleep interval to a float self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_job('15.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_job(), '15.5') def test_web_config_update_condor_poller_sleep_interval_job_string(self): # Tries to change the condor poller's job sleep interval to a string self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_job('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_job(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_sleep_interval_job_too_big(self): # Tries to change the condor poller's job sleep interval to an int that's too big for the database self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_job(str(self.oversize['int_11'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_job(), str(self.oversize['int_11'])) def test_web_config_update_condor_poller_sleep_interval_machine(self): # Changes the condor poller's machine sleep interval and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_value_sleep_interval_machine() self.page.type_sleep_interval_machine('16') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_sleep_interval_machine(), '16') # reverse self.page.type_sleep_interval_machine(original) self.page.click_update_config() def test_web_config_update_condor_poller_sleep_interval_machine_float(self): # Tries to change the condor poller's machine sleep interval to a float self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_machine('15.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_machine(), '15.5') def test_web_config_update_condor_poller_sleep_interval_machine_string(self): # Tries to change the condor poller's machine sleep interval to a string self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_machine('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_machine(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_sleep_interval_machine_too_big(self): # Tries to change the condor poller's machine sleep interval to an int that's too big for the database self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_machine(str(self.oversize['int_11'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_machine(), str(self.oversize['int_11'])) def test_web_config_update_condor_poller_sleep_interval_worker_gsi(self): # Changes the condor poller's worker GSI sleep interval and reverses it self.page.click_side_button('condor_poller.py') original = self.page.get_value_sleep_interval_worker_gsi() self.page.type_sleep_interval_worker_gsi('4096') self.page.click_update_config() self.assertFalse(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertEqual(self.page.get_value_sleep_interval_worker_gsi(), '4096') # reverse self.page.type_sleep_interval_worker_gsi(original) self.page.click_update_config() def test_web_config_update_condor_poller_sleep_interval_worker_gsi_float(self): # Tries to change the condor poller's worker GSI sleep interval to a float self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_worker_gsi('3600.5') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_worker_gsi(), '3600.5') def test_web_config_update_condor_poller_sleep_interval_worker_gsi_string(self): # Tries to change the condor poller's worker GSI sleep interval to a string self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_worker_gsi('invalid-web-test') self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_condor_gsi(), 'invalid-web-test') @unittest.skip("No apparent maximum size") def test_web_config_update_condor_poller_sleep_interval_worker_gsi_too_big(self): # Tries to change the condor poler's worker GSI sleep interval to an int that's too big for the database self.page.click_side_button('condor_poller.py') self.page.type_sleep_interval_worker_gsi(str(self.oversize['int_11'])) self.page.click_update_config() self.assertTrue(self.page.error_message_displayed()) self.page.click_top_nav('System Config') self.assertNotEqual(self.page.get_value_sleep_interval_worker_gsi(), str(self.oversize['int_11'])) @classmethod def tearDownClass(cls): wtsc.cleanup(cls) class TestWebConfigSuperUserFirefox(TestWebConfigCommon): """A class to test config operations via the web interface, in Firefox, with a super user.""" @classmethod def setUpClass(cls): try: wtsc.setup(cls, 2, ['config'], browser='firefox') super(TestWebConfigSuperUserFirefox, cls).setUpClass() print("\nConfig Tests:") except: print("Error in test setup") super(TestWebConfigSuperUserFirefox, cls).tearDownClass() raise class TestWebConfigSuperUserChromium(TestWebConfigCommon): """A class to test config operations via the web interface, in Chromium, with a super user.""" @classmethod def setUpClass(cls): try: wtsc.setup(cls, 2, ['config'], browser='chromium') super(TestWebConfigSuperUserChromium, cls).setUpClass() print("\nConfig Tests (Chromium):") except: print("Error in test setup") super(TestWebConfigSuperUserChromium, cls).tearDownClass() raise class TestWebConfigSuperUserOpera(TestWebConfigCommon): """A class to test config operations via the web interface, in Opera, with a super user.""" @classmethod def setUpClass(cls): try: wtsc.setup(cls, 2, ['config'], browser='opera') super(TestWebConfigSuperUserOpera, cls).setUpClass() print("\nConfig Tests (Opera):") except: print("Error in test setup") super(TestWebConfigSuperUserOpera, cls).tearDownClass() raise class TestWebConfigSuperUserChrome(TestWebConfigCommon): """A class to test config operations via the web interface, in Chrome, with a super user.""" @classmethod def setUpClass(cls): try: wtsc.setup(cls, 2, ['config'], browser='chrome') super(TestWebConfigSuperUserChrome, cls).setUpClass() print("\nConfig Tests (Chrome):") except: print("Error in test setup") super(TestWebConfigSuperUserChrome, cls).tearDownClass() raise if __name__ == "__main__": runner = unittest.TextTestRunner(verbosity=2) tests = [ TestWebConfigSuperUserFirefox, TestWebConfigSuperUserChromium, TestWebConfigSuperUserOpera, TestWebConfigSuperUserChrome ] suite = helpers.parse_command_line_arguments(sys.argv, tests, False) runner.run(suite)

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0.723722

3,116

23,147

5.053915

0.059371

0.118364

0.093282

0.053086

0.898209

0.882906

0.860554

0.815405

0.802451

0.793434

0

0.007396

0.182183

23,147

455

113

50.872527

0.824511

0.143993

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0.001773

0

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false

0.00289

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0

0.153179

0.023121

0

null

0

1

0

null

0

6

1eb8c42283005adaaac6f07c7c289aa0b7535c66

171

py

Python

python/testData/inspections/AddCallSuperSingleStarParamInSuperInit_after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/AddCallSuperSingleStarParamInSuperInit_after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/AddCallSuperSingleStarParamInSuperInit_after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class A: def __init__(self, *, kw_only, optional_kw_only=None): pass class B(A): def __init__(self, *, kw_only): super().__init__(kw_only=kw_only)

24.428571

58

0.631579

26

171

3.461538

0.461538

0.333333

0.177778

0.266667

0.4

0

0.22807

171

7

59

24.428571

0.681818

0

1

0.333333

false

0.166667

0

0.666667

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

6

1ec860624124c8102d6b14fdef152255cdd04425

146

py

Python

gits/preprocess/crawlers/crawler.py

BabyCakes13/GlacierImagePredictor

07665dee1a6f77cf5b10da81df5cca880e2e8551

[ "Apache-2.0" ]

null

gits/preprocess/crawlers/crawler.py

BabyCakes13/GlacierImagePredictor

07665dee1a6f77cf5b10da81df5cca880e2e8551

[ "Apache-2.0" ]

38

2021-03-08T16:03:56.000Z

2021-06-28T12:46:22.000Z

gits/preprocess/crawlers/crawler.py

BabyCakes13/GlacierImagePredictor

07665dee1a6f77cf5b10da81df5cca880e2e8551

[ "Apache-2.0" ]

null

class Crawler: def __init__(self, root): self._root = root def crawl(self): pass def crawl_into(self): pass

14.6

29

0.554795

18

146

4.166667

0.5

0.213333

0

0.356164

146

9

30

16.222222

0.797872

0

0.285714

0

1

0.428571

false

0.285714

0

0.571429

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

1ed31225d65e2bb025d8d6baff027959ecb0a34a

43

py

Python

optimus/validation/__init__.py

ctsit/optimus

e073edf36228c78bb7fb5a863a8808c47bf53496

[ "Apache-2.0" ]

null

optimus/validation/__init__.py

ctsit/optimus

e073edf36228c78bb7fb5a863a8808c47bf53496

[ "Apache-2.0" ]

4

2017-05-16T15:49:56.000Z

2018-09-18T20:02:24.000Z

optimus/validation/__init__.py

ctsit/optimus

e073edf36228c78bb7fb5a863a8808c47bf53496

[ "Apache-2.0" ]

3

2017-05-16T13:59:50.000Z

2018-10-01T14:19:53.000Z

from optimus.validation.validator import *

21.5

42

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5

43

7.2

1

0

0.093023

43

1

43

0.923077

0

1

0

true

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1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

1ed32df848a71f3683fc504fca07c621c5d5a412

59,022

py

Python

tests/test_compiler.py

Bakuriu/feanor-csv

e69929ae333d118771db4f3a91067d3b5ed84bf3

[ "Apache-2.0" ]

1

2018-10-05T02:03:35.000Z

tests/test_compiler.py

Bakuriu/feanor-csv

e69929ae333d118771db4f3a91067d3b5ed84bf3

[ "Apache-2.0" ]

30

2018-07-09T20:37:53.000Z

2018-10-05T07:04:55.000Z

tests/test_compiler.py

Bakuriu/feanor-csv

e69929ae333d118771db4f3a91067d3b5ed84bf3

[ "Apache-2.0" ]

null

import unittest from feanor.builtin import BuiltInLibrary from feanor.dsl.ast import * from feanor.dsl.compiler import * from feanor.dsl.types import * from feanor.library import MockLibrary from feanor.schema import * class TestTypeInferencer(unittest.TestCase): def setUp(self): self.library = BuiltInLibrary({}, random) self.inferencer = TypeInferencer(self.library.compatibility()) def test_can_infer_type_of_a_type_name_node(self): got = self.inferencer.infer(TypeNameNode.of('int')) self.assertEqual(SimpleType('int'), got) def test_can_infer_type_of_a_type_name_node_with_producer(self): got = self.inferencer.infer(TypeNameNode.of('int', 'fixed')) self.assertEqual(SimpleType('int'), got) def test_inferring_type_of_type_name_node_sets_info_value(self): tree = TypeNameNode.of('int') self.inferencer.infer(tree) self.assertEqual({'type': SimpleType('int')}, tree.info) def test_inferring_type_of_type_name_node_with_producer_sets_info_value(self): tree = TypeNameNode.of('int', 'fixed') self.inferencer.infer(tree) self.assertEqual({'type': SimpleType('int')}, tree.info) def test_can_infer_type_of_a_reference_node(self): expected_type = SimpleType('int') inferencer = TypeInferencer(self.library.compatibility(), env={'a': expected_type}) got = inferencer.infer(ReferenceNode.of('a')) self.assertEqual(expected_type, got) def test_inferring_type_of_reference_node_sets_info_value(self): expected_type = SimpleType('int') tree = ReferenceNode.of('a') inferencer = TypeInferencer(self.library.compatibility(), env={'a': expected_type}) inferencer.infer(tree) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_call(self): expected_type = SimpleType('int') arg_type = SimpleType('float') env = {'a': arg_type} inferencer = TypeInferencer(self.library.compatibility(), env=env, func_env={'func': ([arg_type], expected_type)}) got = inferencer.infer(CallNode.of('func', [ReferenceNode.of('a')])) self.assertEqual(expected_type, got) def test_inferring_type_of_call_node_sets_info_value(self): expected_type = SimpleType('int') arg_type = SimpleType('float') env = {'a': arg_type} arg_node = ReferenceNode.of('a') tree = CallNode.of('func', [arg_node]) inferencer = TypeInferencer(self.library.compatibility(), env=env, func_env={'func': ([arg_type], expected_type)}) inferencer.infer(tree) self.assertEqual({'type': arg_type}, arg_node.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_call_when_called_with_compatible_argument(self): expected_type = SimpleType('int') arg_type = SimpleType('float') env = {'a': SimpleType('int')} inferencer = TypeInferencer(self.library.compatibility(), env=env, func_env={'func': ([arg_type], expected_type)}) got = inferencer.infer(CallNode.of('func', [ReferenceNode.of('a')])) self.assertEqual(expected_type, got) def test_can_infer_type_of_merge(self): inferencer = TypeInferencer(compatibility=SimpleCompatibility(upperbound=lambda x, y: y)) got = inferencer.infer(BinaryOpNode.of('+', TypeNameNode.of('int'), TypeNameNode.of('float'))) expected_type = SimpleType('float') self.assertEqual(expected_type, got) def test_inferring_type_of_merge_sets_info_value(self): left_arg = TypeNameNode.of('int') right_arg = TypeNameNode.of('float') tree = BinaryOpNode.of('+', left_arg, right_arg) left_arg_type = SimpleType('int') right_arg_type = SimpleType('float') expected_type = SimpleType('float') inferencer = TypeInferencer(compatibility=SimpleCompatibility(lambda x, y: y)) inferencer.infer(tree) self.assertEqual({'type': left_arg_type}, left_arg.info) self.assertEqual({'type': right_arg_type}, right_arg.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_choice(self): got = self.inferencer.infer(BinaryOpNode.of('|', TypeNameNode.of('int'), TypeNameNode.of('float'))) expected_type = ChoiceType([SimpleType('int'), SimpleType('float')]) self.assertEqual(expected_type, got) self.assertEqual(1, got.num_outputs) def test_inferring_type_of_choice_sets_info_value(self): left_arg = TypeNameNode.of('int') right_arg = TypeNameNode.of('float') tree = BinaryOpNode.of('|', left_arg, right_arg) left_arg_type = SimpleType('int') right_arg_type = SimpleType('float') expected_type = ChoiceType([left_arg_type, right_arg_type]) inferencer = TypeInferencer(compatibility=lambda x, y: True) inferencer.infer(tree) self.assertEqual({'type': left_arg_type}, left_arg.info) self.assertEqual({'type': right_arg_type}, right_arg.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_nested_choice(self): left_inner_choice = BinaryOpNode.of('|', TypeNameNode.of('int'), TypeNameNode.of('float')) right_inner_choice = BinaryOpNode.of('|', TypeNameNode.of('string'), TypeNameNode.of('float')) tree = BinaryOpNode.of('|', left_inner_choice, right_inner_choice) got = self.inferencer.infer(tree) expected_type = ChoiceType([SimpleType('int'), SimpleType('float'), SimpleType('string'), SimpleType('float')]) self.assertEqual(expected_type, got) self.assertEqual(1, got.num_outputs) def test_inferring_type_of_nested_choice_sets_info_value(self): left_arg = TypeNameNode.of('int') right_arg = TypeNameNode.of('float') left_inner_choice = BinaryOpNode.of('|', left_arg, right_arg) left_arg_2 = TypeNameNode.of('string') right_arg_2 = TypeNameNode.of('float') right_inner_choice = BinaryOpNode.of('|', left_arg_2, right_arg_2) tree = BinaryOpNode.of('|', left_inner_choice, right_inner_choice) left_arg_type = SimpleType('int') right_arg_type = SimpleType('float') left_arg_type_2 = SimpleType('string') right_arg_type_2 = SimpleType('float') left_inner_choice_type = ChoiceType([left_arg_type, right_arg_type]) right_inner_choice_type = ChoiceType([left_arg_type_2, right_arg_type_2]) expected_type = ChoiceType([left_arg_type, right_arg_type, left_arg_type_2, right_arg_type_2]) self.inferencer.infer(tree) self.assertEqual({'type': left_arg_type}, left_arg.info) self.assertEqual({'type': right_arg_type}, right_arg.info) self.assertEqual({'type': left_arg_type_2}, left_arg_2.info) self.assertEqual({'type': right_arg_type_2}, right_arg_2.info) self.assertEqual({'type': left_inner_choice_type}, left_inner_choice.info) self.assertEqual({'type': right_inner_choice_type}, right_inner_choice.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_concatenation(self): got = self.inferencer.infer(BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('float'))) expected_type = ParallelType([SimpleType('int'), SimpleType('float')]) self.assertEqual(expected_type, got) self.assertEqual(2, got.num_outputs) def test_inferring_type_of_concatenation_sets_info_value(self): left_arg = TypeNameNode.of('int') right_arg = TypeNameNode.of('float') tree = BinaryOpNode.of('.', left_arg, right_arg) left_arg_type = SimpleType('int') right_arg_type = SimpleType('float') expected_type = ParallelType([left_arg_type, right_arg_type]) self.inferencer.infer(tree) self.assertEqual({'type': left_arg_type}, left_arg.info) self.assertEqual({'type': right_arg_type}, right_arg.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_assignment(self): got = self.inferencer.infer(AssignNode.of(TypeNameNode.of('int'), 'a')) self.assertEqual(SimpleType('int'), got) def test_inferring_type_of_assignment_sets_info_value(self): expr = TypeNameNode.of('int') tree = AssignNode.of(expr, 'a') self.inferencer.infer(tree) expected_type = SimpleType('int') self.assertEqual({'type': expected_type}, expr.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_simple_projection(self): env = {'a': ParallelType([SimpleType('int'), SimpleType('float'), SimpleType('string')])} inferencer = TypeInferencer(self.library.compatibility(), env=env) got = inferencer.infer(ProjectionNode.of(ReferenceNode.of('a'), 1)) self.assertEqual(SimpleType('float'), got) def test_inferring_type_of_simple_projection_sets_info_value(self): expr_type = ParallelType([SimpleType('int'), SimpleType('float'), SimpleType('string')]) env = {'a': expr_type} expr = ReferenceNode.of('a') tree = ProjectionNode.of(expr, 1) inferencer = TypeInferencer(self.library.compatibility(), env=env) inferencer.infer(tree) expected_type = SimpleType('float') self.assertEqual({'type': expr_type}, expr.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_projection_with_multiple_indices(self): env = {'a': ParallelType([SimpleType('int'), SimpleType('float'), SimpleType('string')])} inferencer = TypeInferencer(self.library.compatibility(), env=env) got = inferencer.infer(ProjectionNode.of(ReferenceNode.of('a'), 1, 2)) self.assertEqual(ParallelType([SimpleType('float'), SimpleType('string')]), got) def test_inferring_type_of_projection_with_multiple_indices_sets_info_value(self): expr_type = ParallelType([SimpleType('int'), SimpleType('float'), SimpleType('string')]) env = {'a': expr_type} expr = ReferenceNode.of('a') tree = ProjectionNode.of(expr, 1, 2) inferencer = TypeInferencer(self.library.compatibility(), env=env) inferencer.infer(tree) expected_type = ParallelType([SimpleType('float'), SimpleType('string')]) self.assertEqual({'type': expr_type}, expr.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_merge_with_multiple_columns(self): left_inner_types = [SimpleType('int'), SimpleType('float')] left_ty = ParallelType(left_inner_types) right_inner_types = [SimpleType('int'), SimpleType('int')] right_ty = ParallelType(right_inner_types) env = { 'a': left_ty, 'b': right_ty, } left_expr = ReferenceNode.of('a') right_expr = ReferenceNode.of('b') inferencer = TypeInferencer(compatibility=SimpleCompatibility(lambda x, y: x), env=env) got = inferencer.infer(BinaryOpNode.of('+', left_expr, right_expr)) expected_type = ParallelType([SimpleType('int'), SimpleType('float')]) self.assertEqual(expected_type, got) self.assertEqual(2, expected_type.num_outputs) def test_inferring_type_of_merge_with_multiple_columns_sets_info_value(self): left_inner_types = [SimpleType('int'), SimpleType('float')] left_ty = ParallelType(left_inner_types) right_inner_types = [SimpleType('int'), SimpleType('int')] right_ty = ParallelType(right_inner_types) env = { 'a': left_ty, 'b': right_ty, } left_expr = ReferenceNode.of('a') right_expr = ReferenceNode.of('b') tree = BinaryOpNode.of('+', left_expr, right_expr) inferencer = TypeInferencer(compatibility=SimpleCompatibility(lambda x, y: x), env=env) inferencer.infer(tree) expected_type = ParallelType([SimpleType('int'), SimpleType('float')]) self.assertEqual({'type': left_ty}, left_expr.info) self.assertEqual({'type': right_ty}, right_expr.info) self.assertEqual({'type': expected_type}, tree.info) def test_can_infer_type_of_let_expression(self): got = self.inferencer.infer(LetNode.of([('a', TypeNameNode.of('int'))], ReferenceNode.of('a'))) self.assertEqual(SimpleType('int'), got) def test_inferring_type_of_let_expression_sets_info_value(self): assignment = AssignNode.of(TypeNameNode.of('int'), 'a') reference = ReferenceNode.of('a') tree = LetNode([assignment], reference) self.inferencer.infer(tree) self.assertEqual({'type': SimpleType('int')}, assignment.info) self.assertEqual({'type': SimpleType('int')}, reference.info) self.assertEqual({'type': SimpleType('int')}, tree.info) def test_can_infer_type_of_simple_expr(self): got = self.inferencer.infer(SimpleExprNode.of(LiteralNode.of(10))) self.assertEqual(SimpleType('int'), got) def test_inferring_type_of_simple_expr_sets_info_value(self): literal = LiteralNode.of(10) tree = SimpleExprNode.of(literal) self.inferencer.infer(tree) self.assertEqual({'type': SimpleType('int')}, literal.info) self.assertEqual({'type': SimpleType('int')}, tree.info) def test_can_infer_type_of_simple_expr_with_list(self): got = self.inferencer.infer(SimpleExprNode.of(LiteralNode.of([1,2,3]))) self.assertEqual(ParallelType(3*[SimpleType('int')]), got) def test_inferring_type_of_simple_expr_with_list_sets_info_value(self): literal = LiteralNode.of([1, 2, 3]) tree = SimpleExprNode.of(literal) self.inferencer.infer(tree) self.assertEqual({'type': ParallelType(3*[SimpleType('int')])}, literal.info) self.assertEqual({'type': ParallelType(3*[SimpleType('int')])}, tree.info) def test_can_infer_type_of_simple_expr_with_string(self): got = self.inferencer.infer(SimpleExprNode.of(LiteralNode.of("ciao"))) self.assertEqual(SimpleType('string'), got) def test_inferring_type_of_simple_expr_with_string_sets_info_value(self): literal = LiteralNode.of("ciao") tree = SimpleExprNode.of(literal) self.inferencer.infer(tree) self.assertEqual({'type': SimpleType('string')}, literal.info) self.assertEqual({'type': SimpleType('string')}, tree.info) def test_raises_error_when_merging_incompatible_types(self): with self.assertRaises(TypeError): self.inferencer.infer(BinaryOpNode.of('+', TypeNameNode.of('int'), TypeNameNode.of('string'))) def test_raises_error_when_merging_incompatible_types_with_more_columns(self): left_expr = ReferenceNode.of('a') right_expr = ReferenceNode.of('b') left_ty = ParallelType([SimpleType('int'), SimpleType('string')]) right_ty = ParallelType([SimpleType('int'), SimpleType('int')]) env = { 'a': left_ty, 'b': right_ty, } with self.assertRaises(TypeError): inferencer = TypeInferencer(self.library.compatibility(), env=env) inferencer.infer(BinaryOpNode.of('+', left_expr, right_expr)) def test_raises_error_when_reassigning_same_name(self): # assign inside assign with self.assertRaises(TypeError): inferencer = TypeInferencer(self.library.compatibility()) inferencer.infer(AssignNode.of(AssignNode.of(TypeNameNode.of('int'), 'a'), 'a')) # let inside assign with self.assertRaises(TypeError): inferencer = TypeInferencer(self.library.compatibility()) inferencer.infer(AssignNode.of(LetNode.of([('a', TypeNameNode.of('int'))], TypeNameNode.of('int')), 'a')) # assign inside let with self.assertRaises(TypeError): inferencer = TypeInferencer(self.library.compatibility()) inferencer.infer(LetNode.of([('a', AssignNode.of(TypeNameNode.of('int'), 'a'))], TypeNameNode.of('int'))) # let inside let with self.assertRaises(TypeError): inferencer = TypeInferencer(self.library.compatibility()) inferencer.infer(LetNode.of([('a', LetNode.of([('a', TypeNameNode.of('int'))], TypeNameNode.of('float')))], TypeNameNode.of('int'))) def test_raises_error_if_projecting_on_a_non_composite_node(self): with self.assertRaises(TypeError): self.inferencer.infer(ProjectionNode.of(TypeNameNode.of('int'), (0, 1))) def test_raises_error_if_projecting_indices_outside_output_dimension(self): with self.assertRaises(TypeError) as ctx: self.inferencer.infer( ProjectionNode.of(BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int')), 2)) self.assertEqual('Indices out of range for projection', str(ctx.exception)) def test_raises_error_if_function_called_with_incorrect_number_of_arguments(self): with self.assertRaises(TypeError) as ctx: inferencer = TypeInferencer(self.library.compatibility(), func_env={'ciao': ([SimpleType('int')], SimpleType('int'))}) inferencer.infer(CallNode.of('ciao', [TypeNameNode.of('int'), TypeNameNode.of('float')])) self.assertEqual('Incorrect number of arguments to function ciao: 2 instead of 1', str(ctx.exception)) def test_raises_error_if_function_called_with_unassignable_argument_type(self): # FIXME: compatibility is symmetric. So here we have no way of properly type checking a function call with self.assertRaises(TypeError) as ctx: inferencer = TypeInferencer(self.library.compatibility(), func_env={'ciao': ([SimpleType('int')], SimpleType('int'))}) inferencer.infer(CallNode.of('ciao', [TypeNameNode.of('float')])) self.assertEqual('Incompatible types for argument 0 of ciao: float instead of int', str(ctx.exception)) def test_raises_error_if_function_called_with_incompatible_argument_type(self): with self.assertRaises(TypeError) as ctx: inferencer = TypeInferencer(self.library.compatibility(), func_env={'ciao': ([SimpleType('int')], SimpleType('int'))}) inferencer.infer(CallNode.of('ciao', [TypeNameNode.of('string')])) self.assertEqual('Incompatible types for argument 0 of ciao: string instead of int', str(ctx.exception)) def test_raises_error_if_function_called_does_not_exist(self): with self.assertRaises(ValueError) as ctx: inferencer = TypeInferencer(self.library.compatibility()) inferencer.infer(CallNode.of('ciao', [TypeNameNode.of('string')])) self.assertEqual("Unknown function 'ciao'", str(ctx.exception)) def test_raises_error_if_merge_on_incompatible_parallel_types(self): with self.assertRaises(TypeError) as ctx: inferencer = TypeInferencer(self.library.compatibility(), env={ 'a': ParallelType([SimpleType('int')]), 'b': ParallelType([SimpleType('string')]) }) inferencer.infer(BinaryOpNode.of('+', ReferenceNode.of('a'), ReferenceNode.of('b'))) self.assertEqual("Incompatible types for merge: Parallel(int) and Parallel(string)", str(ctx.exception)) def test_raises_error_if_merge_on_incompatible_types(self): with self.assertRaises(TypeError) as ctx: inferencer = TypeInferencer(self.library.compatibility(), env={'a': ParallelType([SimpleType('int')]), 'b': SimpleType('float')}) inferencer.infer(BinaryOpNode.of('+', ReferenceNode.of('a'), ReferenceNode.of('b'))) self.assertEqual("Incompatible types for merge: Parallel(int) and float", str(ctx.exception)) def test_raises_error_if_trying_to_infer_type_of_literal_outside_simple_expr(self): with self.assertRaises(TypeError) as ctx: self.inferencer.infer(LiteralNode.of(5)) self.assertEqual("This expression can only appear inside a simple expression: 5", str(ctx.exception)) class TestPairBasedCompatibility(unittest.TestCase): def _make_compat(self, pairs): compat = PairBasedCompatibility() compat.add_upperbounds(pairs) return compat def test_simple_type_is_assignable_to_itself_always(self): compatibility = self._make_compat(set()) self.assertTrue(compatibility.is_assignable_to(SimpleType('int'), SimpleType('int'))) def test_simple_type_is_not_compatible_to_itself_if_not_provided(self): compatibility = self._make_compat(set()) self.assertFalse(compatibility.is_compatible(SimpleType('int'), SimpleType('int'))) def test_simple_type_is_compatible_with_itself_if_provided(self): compatibility = self._make_compat({('int', 'int')}) self.assertTrue(compatibility.is_compatible(SimpleType('int'), SimpleType('int'))) def test_simple_type_is_compatible_with_other_type_if_provided(self): compatibility = self._make_compat({('int', 'float')}) self.assertTrue(compatibility.is_compatible(SimpleType('int'), SimpleType('float'))) self.assertTrue(compatibility.is_compatible(SimpleType('float'), SimpleType('int'))) def test_simple_type_is_assignable_to_other_type_if_provided(self): compatibility = self._make_compat({('int', 'float')}) self.assertTrue(compatibility.is_assignable_to(SimpleType('int'), SimpleType('float'))) def test_simple_type_is_not_assignable_to_a_lowerbound(self): compatibility = self._make_compat({('int', 'float')}) self.assertFalse(compatibility.is_assignable_to(SimpleType('float'), SimpleType('int'))) def test_parallel_type_type_is_assignable_to_itself_always(self): compatibility = self._make_compat(set()) left = ParallelType([SimpleType('int'), SimpleType('float')]) right = ParallelType([SimpleType('int'), SimpleType('float')]) self.assertTrue(compatibility.is_assignable_to(left, right)) def test_parallel_type_type_is_not_compatible_to_itself_if_not_provided(self): compatibility = self._make_compat(set()) left = ParallelType([SimpleType('int'), SimpleType('float')]) right = ParallelType([SimpleType('int'), SimpleType('float')]) self.assertFalse(compatibility.is_compatible(left, right)) def test_parallel_type_type_is_compatible_with_itself_if_provided(self): compatibility = self._make_compat({('int', 'int'), ('float', 'float')}) left = ParallelType([SimpleType('int'), SimpleType('float')]) right = ParallelType([SimpleType('int'), SimpleType('float')]) self.assertTrue(compatibility.is_compatible(left, right)) def test_parallel_type_type_is_compatible_with_other_type_if_provided(self): compatibility = self._make_compat({('int', 'float', 'string')}) left = ParallelType([SimpleType('int'), SimpleType('float')]) right = ParallelType([SimpleType('float'), SimpleType('string')]) self.assertTrue(compatibility.is_compatible(left, right)) self.assertTrue(compatibility.is_compatible(right, left)) def test_parallel_type_type_is_assignable_to_other_type_if_provided(self): compatibility = self._make_compat({('int', 'float', 'float')}) left = ParallelType([SimpleType('int'), SimpleType('float')]) right = ParallelType([SimpleType('float'), SimpleType('float')]) self.assertTrue(compatibility.is_assignable_to(left, right)) def test_parallel_type_type_is_not_assignable_to_a_lowerbound(self): compatibility = self._make_compat({('int', 'float', 'float')}) left = ParallelType([SimpleType('int'), SimpleType('float')]) right = ParallelType([SimpleType('float'), SimpleType('float')]) self.assertFalse(compatibility.is_assignable_to(right, left)) def test_choice_type_type_is_assignable_to_itself_always(self): compatibility = self._make_compat(set()) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = ChoiceType([SimpleType('int'), SimpleType('float')]) self.assertTrue(compatibility.is_assignable_to(left, right)) def test_choice_type_type_is_not_compatible_to_itself_if_not_provided(self): compatibility = self._make_compat(set()) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = ChoiceType([SimpleType('int'), SimpleType('float')]) self.assertFalse(compatibility.is_compatible(left, right)) def test_choice_type_type_is_not_compatible_with_itself_if_provided_only_self_compatibilities(self): compatibility = self._make_compat({('int', 'int'), ('float', 'float')}) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = ChoiceType([SimpleType('int'), SimpleType('float')]) self.assertFalse(compatibility.is_compatible(left, right)) def test_choice_type_type_is_compatible_with_itself_if_provided_all_pairs(self): compatibility = self._make_compat({('int', 'int', 'float', 'float')}) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = ChoiceType([SimpleType('int'), SimpleType('float')]) self.assertTrue(compatibility.is_compatible(left, right)) def test_choice_type_type_is_compatible_with_other_type_if_provided_all_pairs(self): compatibility = self._make_compat({('int', 'float', 'float', 'string', 'string')}) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = SimpleType('string') self.assertTrue(compatibility.is_compatible(left, right)) self.assertTrue(compatibility.is_compatible(right, left)) def test_choice_type_type_is_not_compatible_with_other_type_if_provided_only_some_pairs(self): compatibility = self._make_compat({('int', 'float'), ('float', 'string')}) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = SimpleType('string') self.assertFalse(compatibility.is_compatible(left, right)) self.assertFalse(compatibility.is_compatible(right, left)) def test_choice_type_type_is_assignable_to_other_type_if_provided(self): compatibility = self._make_compat({('int', 'float', 'float')}) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = ChoiceType([SimpleType('float'), SimpleType('float')]) self.assertTrue(compatibility.is_assignable_to(left, right)) def test_choice_type_type_is_not_assignable_to_a_lowerbound(self): compatibility = self._make_compat({('int', 'float', 'float')}) left = ChoiceType([SimpleType('int'), SimpleType('float')]) right = ChoiceType([SimpleType('float'), SimpleType('float')]) self.assertFalse(compatibility.is_assignable_to(right, left)) def test_parallel_type_can_be_compatible_with_choice_type(self): compatibility = self._make_compat({('int', 'int', 'float', 'float')}) left_type = ChoiceType([ParallelType(2 * [SimpleType('int')]), ParallelType(2 * [SimpleType('float')])]) right_type = ParallelType(2 * [SimpleType('float')]) self.assertTrue(compatibility.is_compatible(left_type, right_type)) self.assertTrue(compatibility.is_compatible(right_type, left_type)) def test_simple_is_compatible_with_choice_type(self): compatibility = self._make_compat({('int', 'int', 'float', 'float')}) left_type = SimpleType('int') right_type = ChoiceType([SimpleType('int'), SimpleType('float')]) self.assertTrue(compatibility.is_compatible(left_type, right_type)) self.assertTrue(compatibility.is_compatible(right_type, left_type)) def test_any_type_is_compatible_with_anything(self): compatibility = self._make_compat(set()) self.assertTrue(compatibility.is_compatible(AnyType(), SimpleType('int'))) self.assertTrue(compatibility.is_compatible(SimpleType('int'), AnyType())) def test_can_assign_anything_to_any_type(self): compatibility = self._make_compat(set()) self.assertTrue(compatibility.is_assignable_to(SimpleType('int'), AnyType())) def test_any_type_cannot_be_assigned_to_int(self): compatibility = self._make_compat(set()) self.assertFalse(compatibility.is_assignable_to(AnyType(), SimpleType('int'))) def test_any_type_can_be_assigned_to_any_type(self): compatibility = self._make_compat(set()) self.assertTrue(compatibility.is_assignable_to(AnyType(), AnyType())) class TestDefaultCompatibility(unittest.TestCase): def setUp(self): self.compatibility = BuiltInLibrary({}, random).compatibility() self.compatibility.add_upperbounds({('int', 'int'), ('float', 'float')}) def test_identical_simple_types_are_compatible(self): self.assertTrue(self.compatibility.is_compatible(SimpleType('int'), SimpleType('int'))) def test_composite_types_of_same_class_with_one_identical_type_are_compatible(self): for cls in (ChoiceType, ParallelType): self.assertTrue( self.compatibility.is_compatible(cls(2 * [SimpleType('int')]), cls(2 * [SimpleType('int')]))) def test_two_non_compatible_simple_types_are_not_compatible(self): self.assertFalse(self.compatibility.is_compatible(SimpleType('int'), SimpleType('string'))) def test_two_different_compatible_simple_types_are_compatible(self): self.assertTrue(self.compatibility.is_compatible(SimpleType('int'), SimpleType('float'))) def test_composite_types_of_same_class_with_one_different_compatible_type_are_compatible(self): for cls in (ChoiceType, ParallelType): self.assertTrue( self.compatibility.is_compatible(cls([SimpleType('int')] * 2), cls([SimpleType('float')] * 2))) def test_composite_types_of_same_class_with_one_different_non_compatible_type_are_not_compatible(self): for cls in (ChoiceType, ParallelType): self.assertFalse( self.compatibility.is_compatible(cls([SimpleType('int')] * 2), cls([SimpleType('string')] * 2))) def test_composite_types_of_different_class_with_one_identical_type_are_not_compatible(self): arg = SimpleType('int') for first in [ChoiceType, ParallelType]: for second in [sec for sec in (ChoiceType, ParallelType) if sec != first]: self.assertFalse(self.compatibility.is_compatible(first([arg, arg]), second([arg, arg]))) def test_composite_types_with_multiple_incompatible_types_are_not_compatible(self): for cls in (ChoiceType, ParallelType): self.assertFalse(self.compatibility.is_compatible(cls([SimpleType('int'), SimpleType('string')]), cls([SimpleType('int'), SimpleType('not-string')]))) def test_parallel_type_with_one_dimension_is_compatible_with_simple_type(self): self.assertTrue(self.compatibility.is_compatible(ParallelType([SimpleType('int')]), SimpleType('int'))) # symmetric case: self.assertTrue(self.compatibility.is_compatible(SimpleType('int'), ParallelType([SimpleType('int')]))) def test_parallel_type_with_more_than_one_dimension_is_not_compatible_with_simple_type(self): self.assertFalse(self.compatibility.is_compatible(ParallelType([SimpleType('int')] * 2), SimpleType('int'))) # symmetric case: self.assertFalse(self.compatibility.is_compatible(SimpleType('int'), ParallelType([SimpleType('int')] * 2))) def test_choice_type_with_one_dimension_is_compatible_with_simple_type(self): self.assertTrue(self.compatibility.is_compatible(ChoiceType([SimpleType('int')]), SimpleType('int'))) # symmetric case: self.assertTrue(self.compatibility.is_compatible(SimpleType('int'), ChoiceType(2 * [SimpleType('int')]))) def test_choice_type_with_more_than_one_dimension_is_not_compatible_with_simple_type(self): self.assertFalse( self.compatibility.is_compatible(ChoiceType([ParallelType(2 * [SimpleType('int')])]), SimpleType('int'))) # symmetric case: self.assertFalse( self.compatibility.is_compatible(SimpleType('int'), ChoiceType([ParallelType(2 * [SimpleType('int')])]))) class TestCompiler(unittest.TestCase): def setUp(self): self.compiler = Compiler(MockLibrary()) def test_can_compile_a_type_name_node_with_no_config(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile(TypeNameNode.of('int')) self.assertEqual(schema, got) def test_compiling_a_type_name_node_with_no_config_sets_info_value(self): tree = TypeNameNode.of('int') self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': None, 'in_names': [], 'out_names': ['producer#0'], } self.assertEqual(expected_info, tree.info) def test_can_compile_a_type_name_node_with_producer_no_config(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='fixed') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile(TypeNameNode.of('int', 'fixed')) self.assertEqual(schema, got) def test_compiling_a_type_name_node_with_producer_no_config_sets_info_value(self): tree = TypeNameNode.of('int', 'fixed') self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': None, 'in_names': [], 'out_names': ['producer#0'], } self.assertEqual(expected_info, tree.info) def test_can_compile_a_type_name_node_with_config(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='int', config={'min': 10}) schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile(TypeNameNode.of('int', config={'min': 10})) self.assertEqual(schema, got) def test_compiling_a_type_name_node_with_config_sets_info_value(self): tree = TypeNameNode.of('int', config={'min': 10}) self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': None, 'in_names': [], 'out_names': ['producer#0'], } self.assertEqual(expected_info, tree.info) def test_can_compile_a_type_name_node_with_producer_config(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='fixed', config={'value': 10}) schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile(TypeNameNode.of('int', 'fixed', config={'value': 10})) self.assertEqual(schema, got) def test_compiling_a_type_name_node_with_producer_config_sets_info_value(self): tree = TypeNameNode.of('int', 'fixed', config={'value': 10}) self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': None, 'in_names': [], 'out_names': ['producer#0'], } self.assertEqual(expected_info, tree.info) def test_can_compile_an_assignment_of_a_type_name(self): schema = Schema() schema.add_column('a') schema.add_producer('producer#0', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) got = self.compiler.compile(AssignNode.of(TypeNameNode.of('int'), 'a')) self.assertEqual(schema, got) def test_compiling_an_assignment_of_a_type_name_sets_info_value(self): tree = AssignNode.of(TypeNameNode.of('int'), 'a') self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': 'a', 'in_names': ['producer#0'], 'out_names': ['a'], } self.assertEqual(expected_info, tree.info) def test_can_compile_concatenation_of_two_type_names(self): schema = Schema() schema.add_column('column#0') schema.add_column('column#1') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#1'], outputs=['column#1'], transformer=IdentityTransformer(1)) got = self.compiler.compile(BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int'))) self.assertEqual(schema, got) def test_compiling_concatenation_of_two_type_names_sets_info_value(self): tree = BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int')) self.compiler.compile(tree) expected_info = { 'type': ParallelType([SimpleType('int'), SimpleType('int')]), 'assigned_name': None, 'in_names': ['producer#0', 'producer#1'], 'out_names': ['producer#0', 'producer#1'], } self.assertEqual(expected_info, tree.info) def test_can_compile_choice_of_two_type_names(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='int') schema.add_transformer('transformer#0', inputs=['producer#0', 'producer#1'], outputs=['transformer#0'], transformer=ChoiceTransformer(2, 0.5, 0.5)) schema.add_transformer('transformer#1', inputs=['transformer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile(BinaryOpNode.of('|', TypeNameNode.of('int'), TypeNameNode.of('int'))) self.assertEqual(schema, got) def test_compiling_choice_of_two_type_names_sets_info_value(self): tree = BinaryOpNode.of('|', TypeNameNode.of('int'), TypeNameNode.of('int')) self.compiler.compile(tree) expected_info = { 'type': ChoiceType([SimpleType('int'), SimpleType('int')]), 'assigned_name': None, 'out_names': ['transformer#0'], 'in_names': ['producer#0', 'producer#1'], } self.assertEqual(expected_info, tree.info) def test_can_compile_merge_of_two_type_names(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='int') schema.add_transformer('transformer#0', inputs=['producer#0', 'producer#1'], outputs=['transformer#0#0'], transformer=MergeTransformer(2)) schema.add_transformer('transformer#1', inputs=['transformer#0#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile(BinaryOpNode.of('+', TypeNameNode.of('int'), TypeNameNode.of('int'))) self.assertEqual(schema, got) def test_compiling_merge_of_two_type_names_sets_info_value(self): tree = BinaryOpNode.of('+', TypeNameNode.of('int'), TypeNameNode.of('int')) self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': None, 'in_names': ['producer#0', 'producer#1'], 'out_names': ['transformer#0#0'], } self.assertEqual(expected_info, tree.info) def test_can_compile_reference(self): schema = Schema() schema.add_column('a') schema.add_column('column#1') schema.add_producer('producer#0', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#0'], outputs=['column#1'], transformer=IdentityTransformer(1)) got = self.compiler.compile( BinaryOpNode.of( '.', AssignNode.of(TypeNameNode.of('int'), 'a'), ReferenceNode.of('a') ) ) self.assertEqual(schema, got) def test_compiling_reference_sets_info_value(self): tree = BinaryOpNode.of('.', AssignNode.of(TypeNameNode.of('int'), 'a'), ReferenceNode.of('a')) self.compiler.compile(tree) expected_info = { 'type': ParallelType([SimpleType('int'), SimpleType('int')]), 'in_names': ['a', 'producer#0'], 'out_names': ['a', 'producer#0'], 'assigned_name': None, } self.assertEqual(expected_info, tree.info) def test_can_compile_with_two_references_same_values(self): schema = Schema() schema.add_column('a') schema.add_column('column#1') schema.add_column('column#2') schema.add_producer('producer#0', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#0'], outputs=['column#1'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#2', inputs=['producer#0'], outputs=['column#2'], transformer=IdentityTransformer(1)) got = self.compiler.compile( BinaryOpNode.of( '.', AssignNode.of(TypeNameNode.of('int'), 'a'), BinaryOpNode.of( '.', ReferenceNode.of('a'), ReferenceNode.of('a') ) )) self.assertEqual(schema, got) def test_compiling_with_two_references_same_values_sets_info_value(self): tree = BinaryOpNode.of( '.', AssignNode.of(TypeNameNode.of('int'), 'a'), BinaryOpNode.of( '.', ReferenceNode.of('a'), ReferenceNode.of('a'), ) ) self.compiler.compile(tree) expected_info = { 'type': ParallelType([SimpleType('int'), SimpleType('int'), SimpleType('int')]), 'assigned_name': None, 'in_names': ['a', 'producer#0', 'producer#0'], 'out_names': ['a', 'producer#0', 'producer#0'], } self.assertEqual(expected_info, tree.info) def test_can_compile_an_assignment_of_two_type_names(self): schema = Schema() schema.add_column('a#0') schema.add_column('a#1') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='float') schema.add_transformer('transformer#0', inputs=['producer#0', 'producer#1'], outputs=['a#0', 'a#1'], transformer=IdentityTransformer(2)) got = self.compiler.compile( AssignNode.of(BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('float')), 'a')) self.assertEqual(schema, got) def test_compiling_an_assignment_of_two_type_names_sets_info_value(self): tree = AssignNode.of(BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('float')), 'a') self.compiler.compile(tree) expected_info = { 'type': ParallelType([SimpleType('int'), SimpleType('float')]), 'assigned_name': 'a', 'in_names': ['producer#0', 'producer#1'], 'out_names': ['a#0', 'a#1'], } self.assertEqual(expected_info, tree.info) def test_can_compile_projection_of_concatenation(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='float') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile( ProjectionNode.of(BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('float')), 0)) self.assertEqual(schema, got) def test_compiling_projection_of_concatenation_sets_info_values(self): tree = ProjectionNode.of(BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('float')), 0) self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': None, 'in_names': ['producer#0', 'producer#1'], 'out_names': ['producer#0'], } self.assertEqual(expected_info, tree.info) def test_can_compile_double_assignment(self): schema = Schema() schema.add_column('b') schema.add_producer('producer#0', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['a'], outputs=['b'], transformer=IdentityTransformer(1)) got = self.compiler.compile(AssignNode.of(AssignNode.of(TypeNameNode.of('int'), 'a'), 'b')) self.assertEqual(schema, got) def test_compiling_double_assignment_sets_info_value(self): tree = AssignNode.of(AssignNode.of(TypeNameNode.of('int'), 'a'), 'b') self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': 'b', 'in_names': ['a'], 'out_names': ['b'], } self.assertEqual(expected_info, tree.info) def test_can_compile_triple_assignment(self): schema = Schema() schema.add_column('c') schema.add_producer('producer#0', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['a'], outputs=['b'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#2', inputs=['b'], outputs=['c'], transformer=IdentityTransformer(1)) got = self.compiler.compile(AssignNode.of(AssignNode.of(AssignNode.of(TypeNameNode.of('int'), 'a'), 'b'), 'c')) self.assertEqual(schema, got) def test_compiling_triple_assignment_sets_info_value(self): tree = AssignNode.of(AssignNode.of(AssignNode.of(TypeNameNode.of('int'), 'a'), 'b'), 'c') self.compiler.compile(tree) expected_info = { 'type': SimpleType('int'), 'assigned_name': 'c', 'in_names': ['b'], 'out_names': ['c'], } self.assertEqual(expected_info, tree.info) def test_can_compile_concatenation_with_assignment_inside(self): schema = Schema() schema.add_column('a') schema.add_column('column#1') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='float') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#1'], outputs=['column#1'], transformer=IdentityTransformer(1)) got = self.compiler.compile( BinaryOpNode.of('.', AssignNode.of(TypeNameNode.of('int'), 'a'), TypeNameNode.of('float'))) self.assertEqual(schema, got) def test_compiling_concatenation_with_assignment_inside_sets_info_value(self): tree = BinaryOpNode.of('.', AssignNode.of(TypeNameNode.of('int'), 'a'), TypeNameNode.of('float')) self.compiler.compile(tree) expected_info = { 'type': ParallelType([SimpleType('int'), SimpleType('float')]), 'assigned_name': None, 'in_names': ['a', 'producer#1'], 'out_names': ['a', 'producer#1'], } self.assertEqual(expected_info, tree.info) def test_can_compile_concatenation_with_assignment_inside_on_concat(self): schema = Schema() schema.add_column('a#0') schema.add_column('a#1') schema.add_column('column#2') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='int') schema.add_producer('producer#2', type='float') schema.add_transformer('transformer#0', inputs=['producer#0', 'producer#1'], outputs=['a#0', 'a#1'], transformer=IdentityTransformer(2)) schema.add_transformer('transformer#1', inputs=['producer#2'], outputs=['column#2'], transformer=IdentityTransformer(1)) got = self.compiler.compile(BinaryOpNode.of('.', AssignNode.of( BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int')), 'a'), TypeNameNode.of('float'))) self.assertEqual(schema, got) def test_compiling_concatenation_with_assignment_inside_on_concat_sets_info_value(self): tree = BinaryOpNode.of('.', AssignNode.of( BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int')), 'a'), TypeNameNode.of('float')) self.compiler.compile(tree) expected_info = { 'type': ParallelType([SimpleType('int'), SimpleType('int'), SimpleType('float')]), 'assigned_name': None, 'in_names': ['a#0', 'a#1', 'producer#2'], 'out_names': ['a#0', 'a#1', 'producer#2'], } self.assertEqual(expected_info, tree.info) def test_can_compile_simple_let_expression(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='int') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile(LetNode.of([('a', TypeNameNode.of('int'))], ReferenceNode.of('a'))) self.assertEqual(schema, got) def test_can_compile_expression_with_type_config(self): schema = Schema() schema.add_column('column#0') schema.add_producer('producer#0', type='int', config={'min': 10}) schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#0'], outputs=['column#0'], transformer=IdentityTransformer(1)) got = self.compiler.compile( LetNode.of([('a', TypeNameNode.of('int', config={'min': 10}))], ReferenceNode.of('a'))) self.assertEqual(schema, got) def test_when_compiling_multiple_expressions_number_of_outputs_per_expression_is_taken_into_account(self): schema = Schema() schema.add_column('INTERO') schema.add_column('FLOAT') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='float') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['INTERO'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#1'], outputs=['FLOAT'], transformer=IdentityTransformer(1)) expr = BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('float')) got = self.compiler.compile(expr, column_names=['INTERO', 'FLOAT']) self.assertEqual(schema, got) def test_when_providing_less_than_the_number_of_columns_values_are_selected(self): schema = Schema() schema.add_column('a') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='float') schema.add_transformer('transformer#0', inputs=['producer#1'], outputs=['a'], transformer=IdentityTransformer(1)) expr = BinaryOpNode.of('.', TypeNameNode.of('int'), AssignNode.of(TypeNameNode.of('float'), 'a')) got = self.compiler.compile(expr, column_names=['a']) self.assertEqual(schema, got) def test_can_compile_call_node(self): library = MockLibrary() func = lambda x: x library.register_function('ciao', func, [SimpleType('string')], SimpleType('string')) compiler = Compiler(library) schema = Schema() schema.add_column('a') schema.add_producer('producer#0', type='string') schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['transformer#0'], transformer=FunctionalTransformer(func)) schema.add_transformer('transformer#1', inputs=['transformer#0'], outputs=['a'], transformer=IdentityTransformer(1)) expr = CallNode.of('ciao', [TypeNameNode.of('string')]) got = compiler.compile(expr, column_names=['a']) self.assertEqual(schema, got) def test_can_compile_a_simple_expression(self): schema = Schema() schema.add_column('a') schema.add_producer('producer#0', type='fixed', config={'value': 5}) schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) expr = SimpleExprNode.of(LiteralNode.of(5)) got = self.compiler.compile(expr, column_names=['a']) self.assertEqual(schema, got) def test_can_compile_a_reference_to_an_env_var(self): library = MockLibrary() library.register_variable('ciao', 5, SimpleType('int')) compiler = Compiler(library) schema = Schema() schema.add_column('a') schema.add_producer('producer#0', type='fixed', config={'value': 5}) schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) expr = ReferenceNode.of('ciao') got = compiler.compile(expr, column_names=['a']) self.assertEqual(schema, got) def test_multiple_references_to_env_var_do_not_create_more_producers(self): library = MockLibrary() library.register_variable('ciao', 5, SimpleType('int')) compiler = Compiler(library) schema = Schema() schema.add_column('a') schema.add_column('b') schema.add_producer('producer#0', type='fixed', config={'value': 5}) schema.add_transformer('transformer#0', inputs=['producer#0'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#0'], outputs=['b'], transformer=IdentityTransformer(1)) expr = BinaryOpNode.of('.', ReferenceNode.of('ciao'), ReferenceNode.of('ciao')) got = compiler.compile(expr, column_names=['a', 'b']) self.assertEqual(schema, got) def test_example_with_merge(self): schema = Schema() schema.add_column('transformer#1#0') schema.add_producer('producer#0', type='int') schema.add_producer('producer#1', type='int') schema.add_producer('producer#2', type='float') schema.add_transformer('transformer#0', inputs=['producer#1'], outputs=['a'], transformer=IdentityTransformer(1)) schema.add_transformer('transformer#1', inputs=['producer#0', 'a'], outputs=['transformer#1#0'], transformer=MergeTransformer(2)) expr = BinaryOpNode.of('.', BinaryOpNode.of('+', TypeNameNode.of('int'), AssignNode.of(TypeNameNode.of('int'), 'a')), TypeNameNode.of('float')) got = self.compiler.compile(expr, column_names=['transformer#1#0']) self.assertEqual(schema, got) def test_example_with_merge_incompatible_num_of_outputs(self): expr = BinaryOpNode.of( '+', TypeNameNode.of('int'), BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int')) ) with self.assertRaises(TypeError): self.compiler.compile(expr, column_names=['transformer#1#0']) def test_example_with_merge_incompatible_num_of_outputs_more_outputs(self): expr = BinaryOpNode.of( '+', BinaryOpNode.of('.', TypeNameNode.of('int'), BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int'))), BinaryOpNode.of('.', TypeNameNode.of('int'), TypeNameNode.of('int')) ) with self.assertRaises(TypeError): self.compiler.compile(expr, column_names=['transformer#1#0']) def test_raises_error_with_invalid_binary_operator(self): with self.assertRaises(TypeError): self.compiler.compile(BinaryOpNode.of('<', TypeNameNode.of('int'), TypeNameNode.of('float'))) def test_raises_error_when_too_many_columns_specified(self): with self.assertRaises(TypeError) as ctx: self.compiler.compile(TypeNameNode.of('int'), column_names=['A', 'B']) self.assertEqual('defined 2 columns but only 1 values produced.', str(ctx.exception)) def test_raises_error_if_reference_is_not_defined_and_not_a_constant(self): with self.assertRaises(KeyError) as ctx: self.compiler.compile(ReferenceNode.of('@non_existent'), column_names=['A']) self.assertEqual("'@non_existent'", str(ctx.exception))

51.547598

138

0.652011

6,610

59,022

5.570045

0.037065

0.049785

0.038785

0.023222

0.89937

0.872019

0.838231

0.800532

0.760416

0.701939

0

0.007365

0.206296

59,022

1,144

139

51.592657

0.778572

0.003982

0

0.574037

0

0.091209

0

0.000874

0.182556

1

0.134888

false

0

0.007099

0

0.147059

0

null

0

1

0

null

0

6

94a44723921718171c92b4b68b7e734d4fc957ed

749

py

Python

app/admin/forms.py

lbgutierrez/kimble

35a5eb9a6899bd5840dbf88060cadbb60c52f946

[ "Apache-2.0" ]

null

app/admin/forms.py

lbgutierrez/kimble

35a5eb9a6899bd5840dbf88060cadbb60c52f946

[ "Apache-2.0" ]

null

app/admin/forms.py

lbgutierrez/kimble

35a5eb9a6899bd5840dbf88060cadbb60c52f946

[ "Apache-2.0" ]

null

from flask_wtf import FlaskForm from wtforms.fields.core import StringField from wtforms.widgets import TextArea from wtforms.validators import DataRequired, Length class CategoryForm( FlaskForm ): name = StringField( "Nombre", validators=[ DataRequired(), Length( 1, 64 ) ] ) alias = StringField( "Alias", validators=[ DataRequired(), Length( 1, 20 ) ] ) description = StringField( "Descripcion", widget=TextArea() ) class SubcategoryForm( FlaskForm ): name = StringField( "Nombre", validators=[ DataRequired(), Length( 1, 64 ) ] ) alias = StringField( "Alias", validators=[ DataRequired(), Length( 1, 20 ) ] ) description = StringField( "Descripcion", widget=TextArea(), validators=[ DataRequired(), Length( 1, 64 ) ] )

53.5

113

0.708945

75

749

7.066667

0.346667

0.203774

0.264151

0.273585

0.662264

0.603774

0

0.02381

0.158879

749

14

113

53.5

0.81746

0

0.333333

0

0.058667

0

1

0

false

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

94e36ba1cc9f80daa04caae769647906fb7dfdb7

130

py

Python

redirector/schemas.py

dyakovri/redirector-api

cd576d9b27b4de5777dd2112e9e355e8585dc44e

[ "BSD-2-Clause" ]

1

2022-03-23T17:56:15.000Z

redirector/schemas.py

dyakovri/redirector-api

cd576d9b27b4de5777dd2112e9e355e8585dc44e

[ "BSD-2-Clause" ]

null

redirector/schemas.py

dyakovri/redirector-api

cd576d9b27b4de5777dd2112e9e355e8585dc44e

[ "BSD-2-Clause" ]

null

from pydantic import BaseModel from pydantic.networks import AnyHttpUrl class NewRedirectUrl(BaseModel): url_to: AnyHttpUrl

18.571429

40

0.823077

15

130

7.066667

0.666667

0.226415

0

0.138462

130

6

41

21.666667

0.946429

0

1

0

true

0

0.5

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

94f80617de0ce79422651cb5bc79ab954d675f56

11,154

py

Python

2021/2021_09b.py

davidxiao93/Advent-of-Code

29503100ae4eb46b048fc3ab68ff0181c6f00ee5

[ "MIT" ]

null

2021/2021_09b.py

davidxiao93/Advent-of-Code

29503100ae4eb46b048fc3ab68ff0181c6f00ee5

[ "MIT" ]

null

2021/2021_09b.py

davidxiao93/Advent-of-Code

29503100ae4eb46b048fc3ab68ff0181c6f00ee5

[ "MIT" ]

null

from functools import reduce input = """9876543234679310943456798433456798998764321357921025689921987899896498799923491297654545679876212347 6987675036678939874567987012567897899975532467892334567890996789789989679895989398743236789865101456 5598983124589598765689765423678956789876543568943565678999765395679876598789678987654345998764313689 4349994235695329976789998634678946789987987679757678989398653234598767459654567998767499899875424568 3298987656795419899896459745989134568998998789968789699219772123987654398753456899989989689986576789 2126598787896998788902349897991013457899999997989994567909765244598875697542346789798764593987897897 1012349898999887567893956999543234967967988656799323459898954355699876989331238996659875691298998956 4123467999598765456789897987654347899659876545678912398767896466789987979210349965545996789399659235 3234598985439878567896789198795456789898765434189329987546789998994699867991467894534987899985432123 4347899876567989678965994349987897899909996521034998675323597899123989659889578943023498999875321014 5456987997689299989254789498798998999919989992129876543213456789239877545678989432145999998989432345 6567896798792109892123569987679999998898767889234997854324597994399765434689996565236789987698544456 7898945689899998763012458976597989987784345678949998985434989219987654323456899854345699996597655678 8949239796958899954124567895435678996543234567897889876599878998698765435678998765496978989498966899 9932198965346789867258789932124567987655123458976778987988769876569876646889019887989869979329987957 9893987896234568954345898743245798998766234567894567899875457987421987756799934999876649868912398946 8789876789195689875457999655466799679879845678913348987654346987630298867897895988965432946794459435 7653245678989799876767899867578954568989658799101234999869234598541349998976789876894321987895568910 9654134789678986988979989878989243456799767895312349898998945987676556789345698765789210398996678999 8765245696567895399898979999599012367899898986423498776566899999887687990296987984694331239989989888 9954346897379964219787767893478943479901999597434569653465678999998798921989896593789452398978998767 0976557898298965398656456794569894998919589439765698542324599689929899439976789432599543987767999656 2998678999997897987642347895698769867898478929876987321015689599845996598765678953498959876656897545 9859789899886789998756468998789655456797569999989996432326796498656789987654567894997899965545998968 7643996798654567949898979659897643245698979989994987543689895329868999998765678949876778964234899879 5432345697543458957999989545998732124569998967943198964599943210979098969876899129875467996446789989 8584557987654569767899993123989841034979987654599979989679985341989197854987989039654346789677899899 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9965799543567899987856975434567892987543656898989986569876753697897598767977898645698789975457568910 9899898632356792198977896565678969876532345689995987432987884789966449878956789876899899764325457891 6678997653458999299989979876799349865431334678953294321098765789654323989345999988967998955212345789 4599298964578998988998968987891234986210123689964498753129877897654312993234789999654987742101234699 3989129765679997667987899998910129876433234589876569876534988998973209894365678919869876543232348789 2878939876799896543566999879321236997645345679987893997699999529994698765489799201978997654343469892 3467899987986789432355698765432345698987456789298932398988965410989989876569895412399989765499598921 5679979999895678921234569989543456789998987891019643599877896329879879999678976523989878979988987932 6789568987784569990146678998656567899969898989998754988756899499764768998789897949876767989877656893 9893499976543478989236789239767898998756789878899869876645798987653456799898789498765456799765346789 6912987665421299879345678949879989976545698765789979865434687898432567895965689398754345678974235699 5439876543210987769967899999989567895431987543695491984323456989943458954397899999665265667895127678 6545997654521976458899910989996468986532398654599392395664677979894568965989959876543123456789024568 7666798766439894346778929878987347897747498765678989987775899866789789999878943997651016567892123456 8789899876598789234567898969876456798856569876789778998986798754989899989766959898764323456789236768 9898999987697655139879987655987898949987899987894566989987986543478999876745898759877467897897345679 8967998799798743016791098943498929956798999898913455678999876542359998765636789542976578949985498789 7649876549899752145892987632349547897899498769101234589212987656767899443323498931987989539876569893 8432987632999863236789876545678956789902349854213455678903498987898954321014567890198994321987689912""" points = dict() for y, line in enumerate(input.splitlines()): for x, c in enumerate(line): points[(x, y)] = int(c) basin_sizes = [] while True: basin_seed = next((p for p, h in points.items() if h < 9), None) if basin_seed is None: # no more basins break basin = set() points_to_check = [basin_seed] not_basin = set() while len(points_to_check) > 0: p = points_to_check.pop(0) basin.add(p) for x, y in [(0, -1), (1, 0), (0, 1), (-1, 0)]: point_to_check = (p[0] + x, p[1] + y) if point_to_check in basin or point_to_check in not_basin: continue if points.get(point_to_check, 10) < 9: points_to_check.append(point_to_check) else: not_basin.add(point_to_check) basin_sizes.append(len(basin)) for p in basin: del points[p] print( reduce( lambda a, b: a*b, sorted(basin_sizes, reverse=True)[:3] ) )

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Python

src/nanopie/services/http/base.py

michaelawyu/nanopie

32e84f072d03a6b3eff33920c929546c81969a64

[ "Apache-2.0" ]

1

2020-09-02T22:34:10.000Z

src/nanopie/services/http/base.py

michaelawyu/nanopie

32e84f072d03a6b3eff33920c929546c81969a64

[ "Apache-2.0" ]

null

src/nanopie/services/http/base.py

michaelawyu/nanopie

32e84f072d03a6b3eff33920c929546c81969a64

[ "Apache-2.0" ]

null

"""This module includes the base class for nanopie HTTP services. """ from abc import abstractmethod from typing import Callable, Dict, Optional from ..base import RPCService from .foundation import HTTPFoundationHandler from ...handler import SimpleHandler from .io import HTTPEndpoint from .methods import HTTPMethods from ...serialization.http import HTTPSerializationHandler from ...serialization.helpers import JSONSerializationHelper class HTTPService(RPCService): """The base class for all HTTP services.""" def __init__( self, serialization_helper: Optional[ "SerializationHelper" ] = JSONSerializationHelper(), *args, **kwargs ): """Initializes an HTTP service. Args: serialization_helper (SerializationHelper, Optional): The default serialization helper for all endpoints. *args: Other positional arguments. See `RPCService`. **kwargs: Other keyword arguments. See `RPCService`. """ super().__init__(*args, serialization_helper=serialization_helper, **kwargs) @abstractmethod def add_endpoint(self, endpoint: "HTTPEndpoint", **kwargs): """See the method `RPCService.add_endpoint`.""" pass def _rest_endpoint( self, name: str, rule: str, method: str, serialization_handler: Optional["SerializationHandler"] = None, authn_handler: Optional["AuthenticationHandler"] = None, logging_handler: Optional["LoggingHandler"] = None, tracing_handler: Optional["TracingHandler"] = None, extras: Optional[Dict] = None, **options ): """Adds a RESTful endpoint. Args: name (str): The name of the endpoint. rule (str): The rule associated with the endpoint. method (str): The HTTP method associated with the endpoint. authn_handler (AuthenticationHandler, Optional): The authentication handler for this endpoint. logging_handler (LoggingHandler, Optional): The logging handler for this endpoint. tracing_handler (TracingHandler, Optional): The tracing handler for this endpoint. serialization_helper (SerializationHelper, Optional): The serialization helper for this endpoint. extras (Dict, Optional): Additional information about the endpoint. **options: Other keyword arguments for configuring this endpoint. They vary according to the transport used. """ entrypoint = HTTPFoundationHandler(max_content_length=self.max_content_length) handler = entrypoint if authn_handler: handler = handler.add_route(name=name, handler=authn_handler) elif self.authn_handler: handler = handler.add_route(name=name, handler=self.authn_handler) if logging_handler: handler = handler.add_route(name=name, handler=logging_handler) elif self.logging_handler: handler = handler.add_route(name=name, handler=self.logging_handler) if tracing_handler: handler = handler.add_route(name=name, handler=tracing_handler) elif self.tracing_handler: handler = handler.add_route(name=name, handler=self.tracing_handler) if serialization_handler: handler = handler.add_route(name=name, handler=serialization_handler) def wrapper(func): simple_handler = SimpleHandler(func=func) handler.add_route(name=name, handler=simple_handler) endpoint = HTTPEndpoint( name=name, rule=rule, method=method, entrypoint=entrypoint, extras=extras, ) self.add_endpoint(endpoint, **options) return func return wrapper def create( self, name: str, rule: str, data_cls: "ModelMetaCls", headers_cls: Optional["ModelMetaCls"] = None, query_args_cls: Optional["ModelMetaCls"] = None, authn_handler: Optional["AuthenticationHandler"] = None, logging_handler: Optional["LoggingHandler"] = None, tracing_handler: Optional["TracingHandler"] = None, extras: Optional[Dict] = None, **options ): """The decorator for adding a CREATE endpoint. Args: name (str): The name of the endpoint. rule (str): The rule associated with the endpoint. data_cls (ModelMetaCls): The data model for the request payload (body). headers_cls (ModelMetaCls, Optional): The data model for the headers of the request. query_args_cls (ModelMetaCls, Optional): The data model for the query arguments in the URI of the request. authn_handler (AuthenticationHandler, Optional): The authentication handler for this endpoint. logging_handler (LoggingHandler, Optional): The logging handler for this endpoint. tracing_handler (TracingHandler, Optional): The tracing handler for this endpoint. extras (Dict, Optional): Additional information about the endpoint. **options: Other keyword arguments for configuring this endpoint. They vary according to the transport used. Usage: ```Python @svc.create(name="create_user", rule="/users/", ...) def create_user(): # Custom logic ``` """ serialization_handler = HTTPSerializationHandler( headers_cls=headers_cls, query_args_cls=query_args_cls, data_cls=data_cls, serialization_helper=self.serialization_helper, ) return self._rest_endpoint( name=name, rule=rule, method=HTTPMethods.POST, serialization_handler=serialization_handler, authn_handler=authn_handler, logging_handler=logging_handler, tracing_handler=tracing_handler, extras=extras, **options ) def add_create_endpoint(self, *args, func: Callable, **kwargs): """Adds a CREATE endpoint. Args: func (Callable): The function to process the request. *args: Other positional arguments. See the method `create`. **kwargs: Other keyword arguments. See the method `create`. """ return self.create(*args, **kwargs)(func) def get( self, name: str, rule: str, data_cls: Optional["ModelMetaCls"] = None, headers_cls: Optional["ModelMetaCls"] = None, query_args_cls: Optional["ModelMetaCls"] = None, authn_handler: Optional["AuthenticationHandler"] = None, logging_handler: Optional["LoggingHandler"] = None, tracing_handler: Optional["TracingHandler"] = None, extras: Optional[Dict] = None, **options ): """The decorator for adding a GET method. Args: name (str): The name of the endpoint. rule (str): The rule associated with the endpoint. data_cls (ModelMetaCls, Optional): The data model for the request payload (body). headers_cls (ModelMetaCls, Optional): The data model for the headers of the request. query_args_cls (ModelMetaCls, Optional): The data model for the query arguments in the URI of the request. authn_handler (AuthenticationHandler, Optional): The authentication handler for this endpoint. logging_handler (LoggingHandler, Optional): The logging handler for this endpoint. tracing_handler (TracingHandler, Optional): The tracing handler for this endpoint. extras (Dict, Optional): Additional information about the endpoint. **options: Other keyword arguments for configuring this endpoint. They vary according to the transport used. Usage: ```Python @svc.get(name="get_user", rule="/users/{int:user_id}", ...) def get_user(user_id): # Custom logic ``` """ serialization_handler = HTTPSerializationHandler( headers_cls=headers_cls, query_args_cls=query_args_cls, data_cls=data_cls, serialization_helper=self.serialization_helper, ) return self._rest_endpoint( name=name, rule=rule, method=HTTPMethods.GET, serialization_handler=serialization_handler, authn_handler=authn_handler, logging_handler=logging_handler, tracing_handler=tracing_handler, extras=extras, **options ) def add_get_endpoint(self, *args, func: Callable, **kwargs): """Adds a GET endpoint. Args: func (Callable): The function to process the request. *args: Other positional arguments. See the method `get`. **kwargs: Other keyword arguments. See the method `get`. """ return self.get(*args, **kwargs)(func) def update( self, name: str, rule: str, data_cls: "ModelMetaCls", headers_cls: Optional["ModelMetaCls"] = None, query_args_cls: Optional["ModelMetaCls"] = None, authn_handler: Optional["AuthenticationHandler"] = None, logging_handler: Optional["LoggingHandler"] = None, tracing_handler: Optional["TracingHandler"] = None, extras: Optional[Dict] = None, **options ): """The decorator for adding an UPDATE method. Args: name (str): The name of the endpoint. rule (str): The rule associated with the endpoint. data_cls (ModelMetaCls): The data model for the request payload (body). headers_cls (ModelMetaCls, Optional): The data model for the headers of the request. query_args_cls (ModelMetaCls, Optional): The data model for the query arguments in the URI of the request. authn_handler (AuthenticationHandler, Optional): The authentication handler for this endpoint. logging_handler (LoggingHandler, Optional): The logging handler for this endpoint. tracing_handler (TracingHandler, Optional): The tracing handler for this endpoint. extras (Dict, Optional): Additional information about the endpoint. **options: Other keyword arguments for configuring this endpoint. They vary according to the transport used. Usage: ```Python @svc.update(name="update_user", rule="/users/{int:user_id}", ...) def update_user(user_id): # Custom logic ``` """ serialization_handler = HTTPSerializationHandler( headers_cls=headers_cls, query_args_cls=query_args_cls, data_cls=data_cls, serialization_helper=self.serialization_helper, ) return self._rest_endpoint( name=name, rule=rule, method=HTTPMethods.PATCH, serialization_handler=serialization_handler, authn_handler=authn_handler, logging_handler=logging_handler, tracing_handler=tracing_handler, extras=extras, **options ) def add_update_endpoint(self, *args, func: Callable, **kwargs): """Adds an UPDATE endpoint. Args: func (Callable): The function to process the request. *args: Other positional arguments. See the method `update`. **kwargs: Other keyword arguments. See the method `update`. """ return self.update(*args, **kwargs)(func) def delete( self, name: str, rule: str, data_cls: Optional["ModelMetaCls"] = None, headers_cls: Optional["ModelMetaCls"] = None, query_args_cls: Optional["ModelMetaCls"] = None, authn_handler: Optional["AuthenticationHandler"] = None, logging_handler: Optional["LoggingHandler"] = None, tracing_handler: Optional["TracingHandler"] = None, extras: Optional[Dict] = None, **options ): """The decorator for adding a DELETE method. Args: name (str): The name of the endpoint. rule (str): The rule associated with the endpoint. data_cls (ModelMetaCls, Optional): The data model for the request payload (body). headers_cls (ModelMetaCls, Optional): The data model for the headers of the request. query_args_cls (ModelMetaCls, Optional): The data model for the query arguments in the URI of the request. authn_handler (AuthenticationHandler, Optional): The authentication handler for this endpoint. logging_handler (LoggingHandler, Optional): The logging handler for this endpoint. tracing_handler (TracingHandler, Optional): The tracing handler for this endpoint. extras (Dict, Optional): Additional information about the endpoint. **options: Other keyword arguments for configuring this endpoint. They vary according to the transport used. Usage: ```Python @svc.delete(name="delete_user", rule="/users/{int:user_id}", ...) def delete_user(user_id): # Custom logic ``` """ serialization_handler = HTTPSerializationHandler( headers_cls=headers_cls, query_args_cls=query_args_cls, data_cls=data_cls, serialization_helper=self.serialization_helper, ) return self._rest_endpoint( name=name, rule=rule, method=HTTPMethods.DELETE, serialization_handler=serialization_handler, authn_handler=authn_handler, logging_handler=logging_handler, tracing_handler=tracing_handler, extras=extras, **options ) def add_delete_endpoint(self, *args, func: Callable, **kwargs): """Adds a DELETE endpoint. Args: func (Callable): The function to process the request. *args: Other positional arguments. See the method `delete`. **kwargs: Other keyword arguments. See the method `delete`. """ return self.delete(*args, **kwargs)(func) def list( self, name: str, rule: str, data_cls: Optional["ModelMetaCls"] = None, headers_cls: Optional["ModelMetaCls"] = None, query_args_cls: Optional["ModelMetaCls"] = None, authn_handler: Optional["AuthenticationHandler"] = None, logging_handler: Optional["LoggingHandler"] = None, tracing_handler: Optional["TracingHandler"] = None, extras: Optional[Dict] = None, **options ): """The decorator for adding a LIST method. Args: name (str): The name of the endpoint. rule (str): The rule associated with the endpoint. data_cls (ModelMetaCls, Optional): The data model for the request payload (body). headers_cls (ModelMetaCls, Optional): The data model for the headers of the request. query_args_cls (ModelMetaCls, Optional): The data model for the query arguments in the URI of the request. authn_handler (AuthenticationHandler, Optional): The authentication handler for this endpoint. logging_handler (LoggingHandler, Optional): The logging handler for this endpoint. tracing_handler (TracingHandler, Optional): The tracing handler for this endpoint. extras (Dict, Optional): Additional information about the endpoint. **options: Other keyword arguments for configuring this endpoint. They vary according to the transport used. Usage: ```Python @svc.list(name="list_users", rule="/users/", ...) def list_users(): # Custom logic ``` """ serialization_handler = HTTPSerializationHandler( headers_cls=headers_cls, query_args_cls=query_args_cls, data_cls=data_cls, serialization_helper=self.serialization_helper, ) return self._rest_endpoint( name=name, rule=rule, method=HTTPMethods.GET, serialization_handler=serialization_handler, authn_handler=authn_handler, logging_handler=logging_handler, tracing_handler=tracing_handler, extras=extras, **options ) def add_list_endpoint(self, *args, func, **kwargs): """Adds a LIST endpoint. Args: func (Callable): The function to process the request. *args: Other positional arguments. See the method `list`. **kwargs: Other keyword arguments. See the method `list`. """ return self.list(*args, **kwargs)(func) def custom( self, name: str, rule: str, verb: str, method: str, data_cls: Optional["ModelMetaCls"] = None, headers_cls: Optional["ModelMetaCls"] = None, query_args_cls: Optional["ModelMetaCls"] = None, authn_handler: Optional["AuthenticationHandler"] = None, logging_handler: Optional["LoggingHandler"] = None, tracing_handler: Optional["TracingHandler"] = None, extras: Optional[Dict] = None, **options ): """The decorator for adding a custom method. Args: name (str): The name of the endpoint. rule (str): The rule associated with the endpoint. verb (str): The HTTP verb associated with the endpoint. data_cls (ModelMetaCls, Optional): The data model for the request payload (body). headers_cls (ModelMetaCls, Optional): The data model for the headers of the request. query_args_cls (ModelMetaCls, Optional): The data model for the query arguments in the URI of the request. authn_handler (AuthenticationHandler, Optional): The authentication handler for this endpoint. logging_handler (LoggingHandler, Optional): The logging handler for this endpoint. tracing_handler (TracingHandler, Optional): The tracing handler for this endpoint. extras (Dict, Optional): Additional information about the endpoint. **options: Other keyword arguments for configuring this endpoint. They vary according to the transport used. Usage: ```Python @svc.custom(name="verify_user", rule="/users/{int:user_id}", verb="GET", ...) def verify_user(user_id): # Custom logic ``` """ if rule.endswith("/"): rule = rule[:-1] rule = "{}:{}".format(rule, verb) if method not in HTTPMethods.supported_methods: raise ValueError( "{} is not a supported HTTP method ({}).".format( method, HTTPMethods.supported_methods ) ) serialization_handler = HTTPSerializationHandler( headers_cls=headers_cls, query_args_cls=query_args_cls, data_cls=data_cls, serialization_helper=self.serialization_helper, ) return self._rest_endpoint( name=name, rule=rule, method=method, serialization_handler=serialization_handler, authn_handler=authn_handler, logging_handler=logging_handler, tracing_handler=tracing_handler, extras=extras, **options ) def add_custom_endpoint(self, *args, func: Callable, **kwargs): """ "Adds a custom endpoint. Args: func (Callable): The function to process the request. *args: Other positional arguments. See the method `custom`. **kwargs: Other keyword arguments. See the method `custom`. """ self.custom(*args, **kwargs)(func)

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bf74d45a88cd276b17089e1d4afc5bb933924be4

41

py

Python

models/__init__.py

mlunax/shrtner-api

373e08863145b40ec7e52eccddd911da3f79540a

[ "MIT" ]

null

models/__init__.py

mlunax/shrtner-api

373e08863145b40ec7e52eccddd911da3f79540a

[ "MIT" ]

null

models/__init__.py

mlunax/shrtner-api

373e08863145b40ec7e52eccddd911da3f79540a

[ "MIT" ]

null

from .redirect_model import RedirectModel

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44ba6ab507bee531594dc45e9b92cf3753e9c32c

179

py

Python

paulmann/__init__.py

mjekovec2/paulmann-lights

b41b9caef611db7461d62fcf17bc7de71ec4e0bd

[ "MIT" ]

1

2020-10-13T09:42:01.000Z

paulmann/__init__.py

mjekovec2/paulmann-lights

b41b9caef611db7461d62fcf17bc7de71ec4e0bd

[ "MIT" ]

1

2021-12-26T01:54:41.000Z

2022-01-03T07:43:20.000Z

paulmann/__init__.py

mjekovec2/paulmann-lights

b41b9caef611db7461d62fcf17bc7de71ec4e0bd

[ "MIT" ]

2

2020-04-21T11:39:30.000Z

2021-12-28T20:40:52.000Z

from paulmann.paulmann import Paulmann from paulmann.models import State, Info from paulmann.exceptions import PaulmannAuthenticationError, PaulmannConnectionError, PaulmannError

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335

py

Python

app/main/__init__.py

DuncanArani/NEWS

b6cbd2794d5b3f71f66bcfb7feac1510d02c410c

[ "MIT" ]

null

app/main/__init__.py

DuncanArani/NEWS

b6cbd2794d5b3f71f66bcfb7feac1510d02c410c

[ "MIT" ]

null

app/main/__init__.py

DuncanArani/NEWS

b6cbd2794d5b3f71f66bcfb7feac1510d02c410c

[ "MIT" ]

null

# We import the Blueprint class from flask. We then initialize the Blueprint class by creating a variable main. The Blueprint class takes in 2 arguments. The name of the blueprint and the __name__ variable to find the location of the blueprint. from flask import Blueprint main = Blueprint('main',__name__) from . import views,errors

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6

78097666ad3a75f21be90197ad3b55483be0b372

106

py

Python

lectures/code/dict_del.py

naskoch/python_course

84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3

[ "MIT" ]

4

2015-08-10T17:46:55.000Z

2020-04-18T21:09:03.000Z

lectures/code/dict_del.py

naskoch/python_course

84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3

[ "MIT" ]

null

lectures/code/dict_del.py

naskoch/python_course

84adfd3f8d48ca3ad5837f7acc59d2fa051e95d3

[ "MIT" ]

2

2019-04-24T03:31:02.000Z

2019-05-13T07:36:06.000Z

>>> d = {1: 'one', 2: 'two', 3: 'three'} >>> del d[1] >>> d {2: 'two', 3: 'three'} >>> d.clear() >>> d {}

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null

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6

788d2f19cccfe2382f259ab8e0e6e4a79001b1f8

155

py

Python

src/processor/processing_node.py

PearCoding/SpriteRecourceCompiler

34dcd9175f92e580705a2f07998046a05a19329b

[ "MIT" ]

1

2016-04-16T21:33:58.000Z

src/processor/processing_node.py

PearCoding/SpriteRecourceCompiler

34dcd9175f92e580705a2f07998046a05a19329b

[ "MIT" ]

null

src/processor/processing_node.py

PearCoding/SpriteRecourceCompiler

34dcd9175f92e580705a2f07998046a05a19329b

[ "MIT" ]

null

class ProcessingNode: def execute(self, processor, img): raise NotImplementedError() def dependencies(self, processor): return []

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null

0

1

0

1

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6

78ab2a69ced3931fa292f1e6e726c05b71d01b38

703

py

Python

app/email.py

kilonzijnr/personal-blog

c26258a2b5494c0621d663a258213a6990f45e4e

[ "MIT" ]

null

app/email.py

kilonzijnr/personal-blog

c26258a2b5494c0621d663a258213a6990f45e4e

[ "MIT" ]

null

app/email.py

kilonzijnr/personal-blog

c26258a2b5494c0621d663a258213a6990f45e4e

[ "MIT" ]

null

from flask_mail import Message from flask import render_template from .import mail def mail_message(subject,template,to,**kwargs): sender_email = 'vkilonzi05@gmail.com' email = Message(subject, sender=sender_email, recipients=[to]) email.body = render_template(template + ".txt",**kwargs) email.html = render_template(template + ".html",**kwargs) mail.send(email) def notification_message(subject, template, to, **kwargs): sender_email = 'vkilonzi05@gmail.com' email = Message(subject, sender=sender_email, recipients=[to]) email.body = render_template(template + ".txt", **kwargs) email.html = render_template (template + ".html", **kwargs) mail.send(email)

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78b60f967f9cb54900f2792e459f29d96c09a302

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py

Python

Graphs.py

KrishnarajT/IP-Project-Youtube-Video-Downloader

12f3e829f82ee96fdc0ec68c79665f85f3725007

[ "MIT" ]

1

2020-11-22T06:49:23.000Z

Graphs.py

KrishnarajT/IP-Project-Youtube-Video-Downloader

12f3e829f82ee96fdc0ec68c79665f85f3725007

[ "MIT" ]

5

2021-04-06T18:39:13.000Z

2022-03-12T00:55:47.000Z

Graphs.py

KrishnarajT/IP-Project-Youtube-Video-Downloader

12f3e829f82ee96fdc0ec68c79665f85f3725007

[ "MIT" ]

2

2020-11-12T13:25:19.000Z

2020-11-12T13:33:29.000Z

# here is an example graph import numpy as np import File_IO as fio import matplotlib.pyplot as plt # All These functions plot the graph, and then save the figure in a folder. # These figues are then accessed by main.py to show in the statistics page. def plot_views_vs_videos(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ views_list = fio.read.get_views() plt.xlabel('Videos') plt.ylabel('views') plt.bar(range(len(views_list)), views_list, color = 'green') plt.savefig('Assets/Graphs/views_bar_graph.png') def plot_views_vs_videos_line(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ views_list = fio.read.get_views() for i in range(len(views_list)): if views_list[i] > 3e6: views_list[i] = 3e6 plt.xlabel('Videos') plt.ylabel('views') plt.plot(np.arange(len(views_list)), views_list, color = 'green') plt.savefig('Assets/Graphs/views_line_graph.png') def plot_views_vs_videos_hist(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ views_list = fio.read.get_views() bin_val = 1000 bins = [] Max = 0 for i in views_list: if i > Max: Max = i for i in range(15): bins.append(i*bin_val) plt.hist(views_list, bins, histtype='bar', rwidth=0.8, color = 'yellow') plt.xlabel('Views') plt.ylabel('Number of videos') plt.title('number of videos with views') plt.savefig('Assets/Graphs/views_hist_graph.png') def plot_likes_vs_videos_hist(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ # this list is the raw list from the file, contains '\n' at the end that we don't need video_likes = fio.read.get_likes() for i in range(len(video_likes)): if video_likes[i ] is None : video_likes[i] = 0 bin_val = 1000 bins = [] Max = 0 for i in video_likes: if i > Max: Max = i for i in range(15): bins.append(i*bin_val) plt.hist(video_likes, bins, histtype='bar', rwidth=0.8, color = 'yellow') plt.xlabel('Views') plt.ylabel('Number of videos') plt.title('Number of videos vs likes') plt.savefig('Assets/Graphs/likes_hist_graph.png') def plot_ratings_vs_videos(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ video_ratings = fio.read.get_ratings() for i in range(len(video_ratings)): if video_ratings[i ] is None : video_ratings[i] = 0.0 plt.xlabel('Videos') plt.ylabel('Ratings') # plots a simple graph that is saved as png in Assets/Graphs/. This file can then be accessed by other files. plt.plot(np.arange(len(video_ratings)), video_ratings, color = 'red') plt.savefig('Assets/Graphs/ratings_bar_graph.png') def plot_ratings_vs_videos_hist(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ # this list is the raw list from the file, contains '\n' at the end that we don't need video_ratings = fio.read.get_ratings() for i in range(len(video_ratings)): if video_ratings[i ] is None : video_ratings[i] = 0.0 bin_val = 0.25 bins = [] for i in range(8): bins.append(3+i*bin_val) print(bins) plt.hist(video_ratings, bins, histtype='bar', rwidth=0.8, color = 'pink') plt.xlabel('Views') plt.ylabel('Number of videos') plt.title('Number of videos vs ratings') plt.savefig('Assets/Graphs/ratings_hist_graph.png') def plot_likes_vs_videos(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ # this list is the raw list from the file, contains '\n' at the end that we don't need video_likes = fio.read.get_likes() for i in range(len(video_likes)): if video_likes[i ] is None : video_likes[i] = 0.0 for i in range(len(video_likes)): if video_likes[i] > 5e5: video_likes[i] = 5e5 plt.xlabel('Videos') plt.ylabel('likes') # plots a simple graph that is saved as png in Assets/Graphs/. This file can then be accessed by other files. plt.plot(np.arange(len(video_likes)), video_likes, color = 'green') plt.savefig('Assets/Graphs/likes_line_graph.png') def plot_dislikes_vs_videos(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ video_dislikes = fio.read.get_dislikes() for i in range(len(video_dislikes)): if video_dislikes[i ] is None : video_dislikes[i] = 0.0 for i in range(len(video_dislikes)): if video_dislikes[i] > 6e3: video_dislikes[i] = 6e3 plt.xlabel('Videos') plt.ylabel('dislikes') plt.bar(np.arange(len(video_dislikes)), video_dislikes, color = 'green') plt.savefig('Assets/Graphs/dislikes_bar_graph.png') def plot_dislikes_vs_videos_hist(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ # this list is the raw list from the file, contains '\n' at the end that we don't need video_dislikes = fio.read.get_dislikes() for i in range(len(video_dislikes)): if video_dislikes[i ] is None : video_dislikes[i] = 0 bin_val = 1000 bins = [] Max = 0 for i in video_dislikes: if i > Max: Max = i for i in range(15): bins.append(i*bin_val) plt.hist(video_dislikes, bins, histtype='bar', rwidth=0.8, color = 'yellow') plt.xlabel('Views') plt.ylabel('Number of videos') plt.title('Number of videos vs dislikes') plt.savefig('Assets/Graphs/dislikes_hist_graph.png') def plot_categories_vs_videos(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ # this list is the raw list from the file, contains '\n' at the end that we don't need video_categories = fio.read.get_categories() cat_list = ['Education', 'Science & Technology', 'Music', 'Autos & Vehicles', 'Entertainment', 'Howto & Style', 'People & Blogs'] cat_list_disp = ['Education', 'Science', 'Music', 'Vehicles', 'Entertain', 'How-to', 'People'] sorted_cats = [0 for i in range(len(cat_list))] for i in range(len(cat_list)): for j in range(i, len(video_categories)): if cat_list[i] == video_categories[j]: sorted_cats[i] += 1 # plots a simple graph that is saved as png in Assets/Graphs/. This file can then be accessed by other files. plt.bar(cat_list_disp, sorted_cats, color = 'orange') plt.savefig('Assets/Graphs/categories_bar_graph.png') def plot_categories_vs_videos_pie(): """ Plots a graph by looking at the data stored in the files, and then saves the graph in Assets/Graphs as png. None -> None """ # this list is the raw list from the file, contains '\n' at the end that we don't need video_categories = fio.read.get_categories() cat_list = ['Education', 'Science & Technology', 'Music', 'Autos & Vehicles', 'Entertainment', 'Howto & Style', 'People & Blogs'] cat_list_disp = ['Education', 'Science', 'Music', 'Vehicles', 'Entertain', 'How-to', 'People'] sorted_cats = [0 for i in range(len(cat_list))] for i in range(len(cat_list)): for j in range(i, len(video_categories)): if cat_list[i] == video_categories[j]: sorted_cats[i] += 1 # plots a simple graph that is saved as png in Assets/Graphs/. This file can then be accessed by other files. plt.pie(sorted_cats, labels = cat_list_disp,explode = (0.1, 0, 0, 0, 0, 0, 0), shadow = True ) plt.savefig('Assets/Graphs/categories_pie_chart.png') plot_views_vs_videos() plot_ratings_vs_videos_hist() plot_views_vs_videos_hist() plot_views_vs_videos_line() plot_ratings_vs_videos() plot_likes_vs_videos() plot_likes_vs_videos_hist() plot_dislikes_vs_videos() plot_dislikes_vs_videos_hist() plot_categories_vs_videos() plot_categories_vs_videos_pie()

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78ba7c9b0000987d9dad7d9a89b0b4459b1456c9

171

py

Python

PythonModules/SlicerVmtkCommonLib/__init__.py

jcfr/SlicerExtension-VMTK

bd031746a645744f150de343f128203ce747ee57

[ "Apache-2.0" ]

null

PythonModules/SlicerVmtkCommonLib/__init__.py

jcfr/SlicerExtension-VMTK

bd031746a645744f150de343f128203ce747ee57

[ "Apache-2.0" ]

null

PythonModules/SlicerVmtkCommonLib/__init__.py

jcfr/SlicerExtension-VMTK

bd031746a645744f150de343f128203ce747ee57

[ "Apache-2.0" ]

null

# import the vmtk common libs from Helper import * from LevelSetSegmentationLogic import * from VesselnessFilteringLogic import * from CenterlineComputationLogic import *

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6

15501f2e452f86b41baded5e1a494db3bbe7ea02

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py

Python

data_log/tests/test_dungeon_log.py

Itori/swarfarm

7192e2d8bca093b4254023bbec42b6a2b1887547

[ "Apache-2.0" ]

66

2017-09-11T04:46:00.000Z

2021-03-13T00:02:42.000Z

data_log/tests/test_dungeon_log.py

Itori/swarfarm

7192e2d8bca093b4254023bbec42b6a2b1887547

[ "Apache-2.0" ]

133

2017-09-24T21:28:59.000Z

2021-04-02T10:35:31.000Z

data_log/tests/test_dungeon_log.py

Itori/swarfarm

7192e2d8bca093b4254023bbec42b6a2b1887547

[ "Apache-2.0" ]

28

2017-08-30T19:04:32.000Z

2020-11-16T04:09:00.000Z

from bestiary.models import Level, GameItem from data_log import models from .test_log_views import BaseLogTest class CairosLogTests(BaseLogTest): fixtures = ['test_game_items', 'test_levels', 'test_summon_monsters'] def test_dungeon_result(self): self._do_log('BattleDungeonResult_V2/giants_b10_rune_drop.json') self.assertEqual(models.DungeonLog.objects.count(), 1) log = models.DungeonLog.objects.first() self.assertIsNotNone(log.success) self.assertIsNotNone(log.clear_time) def test_level_parsed_correctly(self): self._do_log('BattleDungeonResult_V2/giants_b5_unknown_scroll.json') log = models.DungeonLog.objects.first() self.assertEqual(log.level.dungeon.com2us_id, 8001) self.assertEqual(log.level.floor, 5) self._do_log('BattleDungeonResult_V2/dragon_b10_rune_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.level.dungeon.com2us_id, 9001) self.assertEqual(log.level.floor, 10) self._do_log('BattleDungeonResult_V2/hall_of_dark_small_essence_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.level.dungeon.com2us_id, 1001) self.assertEqual(log.level.floor, 10) def test_dungeon_failed(self): self._do_log('BattleDungeonResult_V2/giants_b10_failed.json') log = models.DungeonLog.objects.first() self.assertFalse(log.success) def test_dungeon_success(self): self._do_log('BattleDungeonResult_V2/giants_b10_rune_drop.json') log = models.DungeonLog.objects.first() self.assertTrue(log.success) def test_dungeon_rune_drop(self): self._do_log('BattleDungeonResult_V2/giants_b10_rune_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.runes.count(), 1) def test_dungeon_item_drop(self): self._do_log('BattleDungeonResult_V2/giants_b10_harmony_drop.json') log = models.DungeonLog.objects.first() # Expect Mana, Energy, Crystal, and Craft Item self.assertEqual(log.items.count(), 4) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CURRENCY, item__com2us_id=1).exists()) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CURRENCY, item__com2us_id=102).exists()) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CURRENCY, item__com2us_id=103).exists()) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CRAFT_STUFF, item__com2us_id=4001).exists()) def test_hoh_ignored(self): self._do_log('BattleDungeonResult_V2/hoh_light_rakshasa.json') log = models.DungeonLog.objects.first() self.assertIsNone(log) def test_essence_drop(self): self._do_log('BattleDungeonResult_V2/hall_of_dark_small_essence_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.items.filter(item__category=GameItem.CATEGORY_ESSENCE).count(), 1) item_drop = log.items.filter(item__category=GameItem.CATEGORY_ESSENCE).first() self.assertEqual(item_drop.item.com2us_id, 11005) self.assertEqual(item_drop.quantity, 5) def test_summon_scroll_drop(self): self._do_log('BattleDungeonResult_V2/giants_b5_unknown_scroll.json') log = models.DungeonLog.objects.first() self.assertEqual(log.items.filter(item__category=GameItem.CATEGORY_SUMMON_SCROLL).count(), 1) item_drop = log.items.filter(item__category=GameItem.CATEGORY_SUMMON_SCROLL).first() self.assertEqual(item_drop.item.com2us_id, 1) self.assertEqual(item_drop.quantity, 7) def test_secret_dungeon_drop(self): self._do_log('BattleDungeonResult_V2/hall_of_light_b1_howl_secret_dungeon_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.secret_dungeons.count(), 1) sd_drop = log.secret_dungeons.first() self.assertEqual(sd_drop.level.dungeon.com2us_id, 1051) def test_monster_drop(self): self._do_log('BattleDungeonResult_V2/giants_b5_rainbowmon_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.monsters.count(), 1) def test_artifact_drop(self): self._do_log('BattleDungeonResult_V2/punisher_b5_artifact_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.artifacts.count(), 1) def test_conversion_stone_drop(self): self._do_log('BattleDungeonResult_V2/punisher_b5_conversion_stone_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.items.count(), 2) item_drop = log.items.get(item__category=GameItem.CATEGORY_ARTIFACT_CRAFT) self.assertEqual(item_drop.quantity, 8) class ScenarioLogTests(BaseLogTest): fixtures = ['test_game_items', 'test_levels', 'test_summon_monsters'] def test_scenario_start(self): self._do_log('BattleScenarioStart/garen_normal_b1.json') self.assertEqual(models.DungeonLog.objects.count(), 1) log = models.DungeonLog.objects.first() self.assertEqual(log.battle_key, 1) self.assertIsNone(log.success) def test_scenario_result(self): self._do_log('BattleScenarioStart/garen_normal_b1.json') self._do_log('BattleScenarioResult/garen_normal_rune_drop.json') self.assertEqual(models.DungeonLog.objects.count(), 1) log = models.DungeonLog.objects.first() self.assertIsNotNone(log.success) self.assertIsNotNone(log.clear_time) def test_level_parsed_correctly(self): self._do_log('BattleScenarioStart/garen_normal_b1.json') log = models.DungeonLog.objects.first() self.assertEqual(log.level.dungeon.com2us_id, 1) self.assertEqual(log.level.difficulty, Level.DIFFICULTY_NORMAL) self.assertEqual(log.level.floor, 1) self._do_log('BattleScenarioStart/kabir_ruins_hard_b1.json') log = models.DungeonLog.objects.first() self.assertEqual(log.level.dungeon.com2us_id, 3) self.assertEqual(log.level.difficulty, Level.DIFFICULTY_HARD) self.assertEqual(log.level.floor, 1) self._do_log('BattleScenarioStart/faimon_hell_b3.json') log = models.DungeonLog.objects.first() self.assertEqual(log.level.dungeon.com2us_id, 9) self.assertEqual(log.level.difficulty, Level.DIFFICULTY_HELL) self.assertEqual(log.level.floor, 3) def test_scenario_failed(self): self._do_log('BattleScenarioStart/garen_normal_b1.json') self._do_log('BattleScenarioResult/garen_normal_failed.json') log = models.DungeonLog.objects.first() self.assertFalse(log.success) def test_scenario_success(self): self._do_log('BattleScenarioStart/garen_normal_b1.json') self._do_log('BattleScenarioResult/garen_normal_rune_drop.json') log = models.DungeonLog.objects.first() self.assertTrue(log.success) def test_scenario_rune_drop(self): self._do_log('BattleScenarioStart/garen_normal_b1.json') self._do_log('BattleScenarioResult/garen_normal_rune_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.runes.count(), 1) def test_scenario_monster_drop(self): self._do_log('BattleScenarioStart/faimon_hell_b1.json') self._do_log('BattleScenarioResult/faimon_hell_monster_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.monsters.count(), 1) def test_scenario_item_drop(self): self._do_log('BattleScenarioStart/faimon_hell_b1.json') self._do_log('BattleScenarioResult/faimon_hell_craft_drop.json') log = models.DungeonLog.objects.first() # Expect Mana, Energy, and Craft Item self.assertEqual(log.items.count(), 3) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CURRENCY, item__com2us_id=102).exists()) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CURRENCY, item__com2us_id=103).exists()) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CRAFT_STUFF, item__com2us_id=1003).exists()) class DimensionHoleTests(BaseLogTest): fixtures = ['test_game_items', 'test_levels'] def test_dungeon_result(self): self._do_log('BattleDimensionHoleDungeonResult_V2/beast_men_b1_rune_drop.json') self.assertEqual(models.DungeonLog.objects.count(), 1) log = models.DungeonLog.objects.first() self.assertIsNotNone(log.success) self.assertIsNotNone(log.clear_time) def test_practice_not_logged(self): view = self._do_log('BattleDimensionHoleDungeonResult_V2/ellunia_b1_practice.json') self.assertEqual(view.status_code, 200) self.assertEqual(models.DungeonLog.objects.count(), 0) def test_level_parsed_correctly(self): self._do_log('BattleDimensionHoleDungeonResult_V2/beast_men_b1_rune_drop.json') log = models.DungeonLog.objects.latest() self.assertEqual(log.level.dungeon.com2us_id, 3101) self.assertEqual(log.level.floor, 1) self._do_log('BattleDimensionHoleDungeonResult_V2/ellunia_b3_rune_ore_drop.json') log = models.DungeonLog.objects.latest() self.assertEqual(log.level.dungeon.com2us_id, 1202) self.assertEqual(log.level.floor, 3) self._do_log('BattleDimensionHoleDungeonResult_V2/sanctuary_b3_rune_drop.json') log = models.DungeonLog.objects.latest() self.assertEqual(log.level.dungeon.com2us_id, 1101) self.assertEqual(log.level.floor, 3) def test_success(self): self._do_log('BattleDimensionHoleDungeonResult_V2/ellunia_b3_rune_ore_drop.json') log = models.DungeonLog.objects.latest() self.assertTrue(log.success) def test_failed(self): self._do_log('BattleDimensionHoleDungeonResult_V2/sanctuary_b4_failed.json') log = models.DungeonLog.objects.latest() self.assertFalse(log.success) def test_ancient_rune_drop(self): self._do_log('BattleDimensionHoleDungeonResult_V2/beast_men_b1_rune_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.runes.count(), 1) rune = log.runes.first() self.assertTrue(rune.ancient) def test_item_drop(self): self._do_log('BattleDimensionHoleDungeonResult_V2/ellunia_b3_rune_ore_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.items.count(), 2) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CURRENCY, item__com2us_id=102).exists()) self.assertTrue(log.items.filter(item__category=GameItem.CATEGORY_CRAFT_STUFF, item__com2us_id=9002).exists()) def test_ancient_enchant_gem_drop(self): self._do_log('BattleDimensionHoleDungeonResult_V2/sanctuary_b5_gem_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.rune_crafts.count(), 1) craft = log.rune_crafts.first() self.assertEqual(craft.type, models.DungeonRuneCraftDrop.CRAFT_ANCIENT_GEM) def test_ancient_grindstone_drop(self): self._do_log('BattleDimensionHoleDungeonResult_V2/forest_b5_grind_drop.json') log = models.DungeonLog.objects.first() self.assertEqual(log.rune_crafts.count(), 1) craft = log.rune_crafts.first() self.assertEqual(craft.type, models.DungeonRuneCraftDrop.CRAFT_ANCIENT_GRINDSTONE)

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118

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11,547

5.596774

0.107994

0.095853

0.047362

0.114021

0.883724

0.850019

0.80228

0.747149

0.705049

0.660068

0

0.019545

0.162553

11,547

244

119

47.32377

0.805791

0.006928

0

0.535354

0

0.199581

0.189288

0

0.378788

1

0.151515

false

0

0.015152

0

0.19697

0

null

0

1

0

null

0

6

1552a6105e4adeba0130c66f46fab3a30af9b9ee

38

py

Python

newfile.py

Alexander-Goossens/cs3240-labdemo

505b768dc6fc33f4f6c247aa07be847d8d6863c9

[ "MIT" ]

null

newfile.py

Alexander-Goossens/cs3240-labdemo

505b768dc6fc33f4f6c247aa07be847d8d6863c9

[ "MIT" ]

null

newfile.py

Alexander-Goossens/cs3240-labdemo

505b768dc6fc33f4f6c247aa07be847d8d6863c9

[ "MIT" ]

null

print("New file with the new branch")

19

37

0.736842

7

38

4

0.857143

0

0.157895

38

2

37

19

0.875

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0.736842

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

157d528f821e02dc87dbc1ef7d308c6c6a3f83f6

32

py

Python

ofdft_ml/statslib/loader/__init__.py

HamletWantToCode/ofdft-ml

4115405b6f530cdf8956d0b5b353569ce7c09496

[ "MIT" ]

6

2019-01-16T07:00:27.000Z

2022-03-18T07:09:25.000Z

ofdft_ml/statslib/loader/__init__.py

HamletWantToCode/ofdft-ml

4115405b6f530cdf8956d0b5b353569ce7c09496

[ "MIT" ]

null

ofdft_ml/statslib/loader/__init__.py

HamletWantToCode/ofdft-ml

4115405b6f530cdf8956d0b5b353569ce7c09496

[ "MIT" ]

null

from .loader import Model_loader

32

0.875

5

32

5.4

0.8

0

0.09375

32

1

32

0.931034

0

1

0

true

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1

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null

0

1

0

null

0

1

0

1

0

1

0

6

158e0a71c912ad047f0146c304338dd50130a4d5

59

py

Python

simy/record/__init__.py

faical-yannick-congo/similarity

4b447a69294e89eb573af16e1153ede0cbdb3b9e

[ "MIT" ]

null

simy/record/__init__.py

faical-yannick-congo/similarity

4b447a69294e89eb573af16e1153ede0cbdb3b9e

[ "MIT" ]

10

2019-05-01T13:50:30.000Z

2019-05-09T18:11:24.000Z

simy/record/__init__.py

faical-yannick-congo/similarity

4b447a69294e89eb573af16e1153ede0cbdb3b9e

[ "MIT" ]

2

2019-05-01T13:47:34.000Z

2019-05-01T14:03:52.000Z

from .CalculationRelaxStatic import CalculationRelaxStatic

29.5

58

0.915254

4

59

13.5

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58

29.5

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null

0

1

0

1

0

1

0

6

15bb4a5ec76ee9218457fc33cedac638ef0a923a

27,553

py

Python

testing/test_util.py

matthewrsj/clisync

d89a0b2840494cc6622d45bc046b0589d0023e2e

[ "Apache-2.0" ]

null

testing/test_util.py

matthewrsj/clisync

d89a0b2840494cc6622d45bc046b0589d0023e2e

[ "Apache-2.0" ]

null

testing/test_util.py

matthewrsj/clisync

d89a0b2840494cc6622d45bc046b0589d0023e2e

[ "Apache-2.0" ]

null

from datetime import datetime import stat import ConfigParser from StringIO import StringIO import unittest from climesync import util from mock import patch, MagicMock class UtilTest(unittest.TestCase): def test_ts_error_no_error(self): ts_objects = [{"example": "object"}] assert not util.ts_error(*ts_objects) def test_ts_error_error(self): ts_objects = [{"example": "object"}, {"error": 404}] assert util.ts_error(*ts_objects) @patch("climesync.util.codecs.open") @patch("climesync.util.os.chmod") @patch("climesync.util.os.path") def test_create_config_default_path(self, mock_path, mock_chmod, mock_open): default_path = "~/.climesyncrc" fullpath = "/path/to/config" open_args = ["w", "utf-8-sig"] chmod_args = [stat.S_IRUSR | stat.S_IWUSR] mock_path.expanduser.return_value = fullpath util.create_config(path=default_path) mock_open.assert_called_with(fullpath, *open_args) mock_chmod.assert_called_with(fullpath, *chmod_args) @patch("climesync.util.codecs.open") @patch("climesync.util.os.chmod") @patch("climesync.util.os.path") def test_create_config_provided_path(self, mock_path, mock_chmod, mock_open): provided_path = "~/.config/climesync/config" fullpath = "/path/to/config" open_args = ["w", "utf-8-sig"] chmod_args = [stat.S_IRUSR | stat.S_IWUSR] mock_path.expanduser.return_value = fullpath util.create_config(path=provided_path) mock_open.assert_called_with(fullpath, *open_args) mock_chmod.assert_called_with(fullpath, *chmod_args) @patch("climesync.util.ConfigParser.RawConfigParser") @patch("climesync.util.codecs.open") @patch("climesync.util.os.path") def test_read_config_path_exists(self, mock_path, mock_open, _): fullpath = "/path/to/config" mock_path.expanduser.return_value = fullpath mock_path.isfile.return_value = True mock_file = MagicMock() mock_open.return_value.__enter__.return_value = mock_file mock_configparser = util.read_config() mock_configparser.readfp.assert_called_with(mock_file) @patch("climesync.util.ConfigParser.RawConfigParser") @patch("climesync.util.os.path") def test_read_config_path_not_exist(self, mock_path, _): fullpath = "/path/to/config" mock_path.expanduser.return_value = fullpath mock_path.isfile.return_value = False mock_configparser = util.read_config() mock_configparser.read.assert_not_called() @patch("climesync.util.codecs.open") @patch("climesync.util.ConfigParser.RawConfigParser") @patch("climesync.util.os.path") def test_read_config_parsing_error(self, mock_path, mock_rawconfigparser, _): fullpath = "/path/to/config" mock_path.expanduser.return_value = fullpath mock_path.isfile.return_value = True mock_parser = MagicMock() mock_parser.readfp.side_effect = ConfigParser.ParsingError("") mock_rawconfigparser.return_value = mock_parser result = util.read_config() assert result is None @patch("climesync.util.create_config") @patch("climesync.util.read_config") @patch("climesync.util.codecs.open") def test_write_config_file_exists(self, mock_open, mock_read_config, mock_create_config): section_name = "climesync" path = "~/.climesyncrc" key = "key" value = "value" mock_config = MagicMock() mock_config.sections.return_value = [section_name] mock_file = MagicMock(spec=file) mock_open.return_value.__enter__.return_value = mock_file mock_read_config.return_value = mock_config util.write_config(key, value, path=path) mock_create_config.assert_not_called() mock_config.set.assert_called_with(section_name, key, value) mock_config.add_section.assert_not_called() mock_config.write.assert_called_with(mock_file) @patch("climesync.util.create_config") @patch("climesync.util.read_config") @patch("climesync.util.codecs.open") def test_write_config_file_not_exist(self, mock_open, mock_read_config, mock_create_config): section_name = "climesync" path = "~/.climesyncrc" key = "key" value = "value" mock_config = MagicMock() mock_config.sections.return_value = [] mock_config.set.side_effect = [ConfigParser.NoSectionError(""), None] mock_read_config.return_value = mock_config util.write_config(key, value, path=path) mock_create_config.assert_called_with(path) mock_config.add_section.assert_called_with(section_name) @patch("climesync.util.create_config") @patch("climesync.util.read_config") def test_write_config_read_error(self, mock_read_config, mock_create_config): path = "~/.climesyncrc" key = "key" value = "value" mock_read_config.return_value = None util.write_config(key, value, path=path) mock_create_config.assert_not_called() @patch("climesync.util.os.path.exists") def test_session_exists_true(self, mock_exists): mock_exists.return_value = True assert util.session_exists() @patch("climesync.util.os.path.exists") def test_session_exists_false(self, mock_exists): mock_exists.return_value = False assert not util.session_exists() @patch("climesync.util.session_exists") @patch("climesync.util.codecs.open") def test_read_session(self, mock_open, mock_session_exists): mock_session_object = { "start_date": "2015-03-14", "start_time": "09:26", "project": "px", "issue_uri": "https://github.com/org/px/issues/42/", "user": "test" } mock_session_file_lines = [ "start_date: 2015-03-14", "start_time: 09:26", "project: px", "issue_uri: https://github.com/org/px/issues/42/", "user: test" ] mock_file = MagicMock(spec=file) mock_file.readlines.return_value = mock_session_file_lines mock_open.return_value.__enter__.return_value = mock_file mock_session_exists.return_value = True result = util.read_session() assert result == mock_session_object @patch("climesync.util.session_exists") @patch("climesync.util.codecs.open") def test_read_session_no_session(self, mock_open, mock_session_exists): mock_session_exists.return_value = False util.read_session() assert not mock_open.mock_calls @patch("climesync.util.session_exists") @patch("climesync.util.codecs.open") def test_create_session(self, mock_open, mock_session_exists): mock_session_object = { "start_date": "2015-03-14", "start_time": "09:26", "project": "px", "issue_uri": "https://github.com/org/px/issues/42/", "user": "test" } mock_file = MagicMock(spec=file) mock_open.return_value.__enter__.return_value = mock_file mock_session_exists.return_value = False util.create_session(mock_session_object) for k, v in mock_session_object.iteritems(): # Assert that the session data was written to the file assert any(k in args[0] and v in args[0] for _, args, __ in mock_file.mock_calls) @patch("climesync.util.session_exists") @patch("climesync.util.codecs.open") def test_create_session_existing_session(self, mock_open, mock_session_exists): mock_session_exists.return_value = True util.create_session({}) mock_open.assert_not_called() @patch("climesync.util.session_exists") @patch("climesync.util.os.remove") def test_clear_session(self, mock_remove, mock_session_exists): mock_session_exists.return_value = True util.clear_session() assert mock_remove.mock_calls @patch("climesync.util.session_exists") @patch("climesync.util.os.remove") def test_clear_session_no_session(self, mock_remove, mock_session_exists): mock_session_exists.return_value = False util.clear_session() assert not mock_remove.mock_calls def test_construct_clock_out_time(self): mocked_session = { "start_date": "2016-03-14", "start_time": "03:14", "project": "px", "activities": "dev docs", "user": "test" } mocked_now = datetime(2016, 3, 14, 4, 14) mocked_revisions = {"project": "py"} expected = { "duration": 3600, "date_worked": "2016-03-14", "project": "py", "activities": ["dev", "docs"], "user": "test" } result = util.construct_clock_out_time(mocked_session, mocked_now, mocked_revisions, None) assert result == expected def test_construct_clock_out_time_no_revisions(self): mocked_session = { "start_date": "2016-03-14", "start_time": "03:14", "project": "px", "activities": "dev docs", "user": "test" } mocked_now = datetime(2016, 3, 14, 4, 14) mocked_revisions = {} expected = { "duration": 3600, "date_worked": "2016-03-14", "project": "px", "activities": ["dev", "docs"], "user": "test" } result = util.construct_clock_out_time(mocked_session, mocked_now, mocked_revisions, None) assert result == expected def test_construct_clock_out_time_default_activity(self): mocked_session = { "start_date": "2016-03-14", "start_time": "03:14", "project": "px", "user": "test" } mocked_now = datetime(2016, 3, 14, 4, 14) mocked_revisions = {} mocked_project = {"default_activity": "dev"} expected = { "duration": 3600, "date_worked": "2016-03-14", "project": "px", "activities": ["dev"], "user": "test" } result = util.construct_clock_out_time(mocked_session, mocked_now, mocked_revisions, mocked_project) assert result == expected def test_construct_clock_out_time_invalid_project(self): mocked_session = { "start_date": "2016-03-14", "start_time": "03:14", "project": "px", "user": "test" } mocked_now = datetime(2016, 3, 14, 4, 14) mocked_revisions = {} mocked_project = {"error": "error"} result = util.construct_clock_out_time(mocked_session, mocked_now, mocked_revisions, mocked_project) assert result == {"error": "Invalid project"} def test_construct_clock_out_time_no_session(self): mocked_session = {} mocked_now = datetime.now() mocked_revisions = {} result = util.construct_clock_out_time(mocked_session, mocked_now, mocked_revisions, None) assert result == {"error": "No session data"} def test_construct_clock_out_time_invalid_session(self): mocked_session = { "invalid": "session" } mocked_now = datetime.now() mocked_revisions = {} result = util.construct_clock_out_time(mocked_session, mocked_now, mocked_revisions, None) assert result == {"error": "Invalid session data"} def test_construct_clock_out_time_negative_delta(self): mocked_session = { "start_date": "2016-03-14", "start_time": "03:14", "project": "px", "user": "test" } mocked_now = datetime(2016, 1, 1, 1, 1) mocked_revisions = {} result = util.construct_clock_out_time(mocked_session, mocked_now, mocked_revisions, None) assert result == {"error": "Invalid session date/time"} @patch("climesync.util.sys.stdout", new_callable=StringIO) def test_print_json_list(self, mock_stdout): key = "key" value = "value" test_response = [{key: value}] util.print_json(test_response) assert "{}: {}".format(key, value) in mock_stdout.getvalue() @patch("climesync.util.sys.stdout", new_callable=StringIO) def test_print_json_dict(self, mock_stdout): key = "key" value = "value" test_response = {key: value} util.print_json(test_response) assert "{}: {}".format(key, value) in mock_stdout.getvalue() def test_is_time(self): self.assertFalse(util.is_time("AhBm")) self.assertFalse(util.is_time("hm")) self.assertFalse(util.is_time("4h")) self.assertFalse(util.is_time("10m")) self.assertFalse(util.is_time("4hm")) self.assertFalse(util.is_time("h4m")) self.assertFalse(util.is_time("A4h10m")) self.assertFalse(util.is_time("4h10mA")) self.assertFalse(util.is_time("4h1A0m")) self.assertFalse(util.is_time("4.0h10m")) self.assertTrue(util.is_time("4h10m")) self.assertTrue(util.is_time("222355h203402340m")) self.assertTrue(util.is_time("0h10m")) def test_to_readable_time(self): self.assertEqual(util.to_readable_time(60), "0h1m") self.assertEqual(util.to_readable_time(3600), "1h0m") self.assertEqual(util.to_readable_time(1000), "0h16m") @patch("climesync.util.raw_input") def test_get_field_string(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = "Prompt: " mocked_input = "test input" mock_raw_input.return_value = mocked_input value = util.get_field(prompt) assert value == mocked_input mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_string_empty(self, mock_raw_input): prompt = "Prompt" mocked_input = ["", "value"] mock_raw_input.side_effect = mocked_input value = util.get_field(prompt) assert value == mocked_input[1] assert mock_raw_input.call_count == 2 @patch("climesync.util.raw_input") def test_get_field_string_optional(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = "(Optional) Prompt: " mocked_input = "" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, optional=True) assert value == "" mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_string_validated(self, mock_raw_input): prompt = "Prompt" validator = ["v1", "v2"] mocked_input = "v1" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, validator=validator) assert value == "v1" @patch("climesync.util.raw_input") def test_get_field_string_invalid(self, mock_raw_input): prompt = "Prompt" validator = ["v1", "v2"] mocked_input = ["v3", "v2"] mock_raw_input.side_effect = mocked_input value = util.get_field(prompt, validator=validator) assert value == "v2" @patch("climesync.util.raw_input") def test_get_field_bool_yes(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = "(y/n) Prompt: " mocked_input = "Y" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, field_type="?") assert value mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_bool_no(self, mock_raw_input): prompt = "Prompt" mocked_input = "N" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, field_type="?") assert not value @patch("climesync.util.raw_input") def test_get_field_bool_empty(self, mock_raw_input): prompt = "Prompt" mocked_input = ["", "yes"] mock_raw_input.side_effect = mocked_input value = util.get_field(prompt, field_type="?") assert value assert mock_raw_input.call_count == 2 @patch("climesync.util.raw_input") def test_get_field_bool_invalid(self, mock_raw_input): prompt = "Prompt" mocked_input = ["maybe", "yes"] mock_raw_input.side_effect = mocked_input value = util.get_field(prompt, field_type="?") assert value assert mock_raw_input.call_count == 2 @patch("climesync.util.raw_input") def test_get_field_bool_optional(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = "(Optional) (y/N) Prompt: " mocked_input = "" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, optional=True, field_type="?") assert value == "" mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_time(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = "(Time input - <value>h<value>m) Prompt: " mocked_input = "1h0m" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, field_type=":") assert value == "1h0m" mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_time_invalid(self, mock_raw_input): prompt = "Prompt" mocked_input = ["1 hour", "1h0m"] mock_raw_input.side_effect = mocked_input value = util.get_field(prompt, field_type=":") assert value == "1h0m" @patch("climesync.util.raw_input") def test_get_field_time_optional(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = \ "(Optional) (Time input - <value>h<value>m) Prompt: " mocked_input = "" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, optional=True, field_type=":") assert value == "" mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_list(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = "(Comma delimited) Prompt: " mocked_input = " v1 , v2, v3,v4" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, field_type="!") assert value == ["v1", "v2", "v3", "v4"] mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_list_single_value(self, mock_raw_input): prompt = "Prompt" mocked_input = "v1" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, field_type="!") assert value == ["v1"] @patch("climesync.util.raw_input") def test_get_field_list_empty(self, mock_raw_input): prompt = "Prompt" mocked_input = ["", "v1, v2"] mock_raw_input.side_effect = mocked_input value = util.get_field(prompt, field_type="!") assert value == ["v1", "v2"] @patch("climesync.util.raw_input") def test_get_field_list_optional(self, mock_raw_input): prompt = "Prompt" expected_formatted_prompt = "(Optional) (Comma delimited) Prompt: " mocked_input = "" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, optional=True, field_type="!") assert value == "" mock_raw_input.assert_called_with(expected_formatted_prompt) @patch("climesync.util.raw_input") def test_get_field_list_validated(self, mock_raw_input): prompt = "Prompt" validator = ["v1", "v2", "v3"] mocked_input = "v1, v3" mock_raw_input.return_value = mocked_input value = util.get_field(prompt, field_type="!", validator=validator) assert value == ["v1", "v3"] @patch("climesync.util.raw_input") def test_get_field_list_invalid(self, mock_raw_input): prompt = "Prompt" validator = ["v1", "v2", "v3"] mocked_input = ["v1, v4, v2", "v1, v2"] mock_raw_input.side_effect = mocked_input value = util.get_field(prompt, field_type="!", validator=validator) assert value == ["v1", "v2"] @patch("climesync.util.raw_input") def test_get_field_type_invalid(self, mock_raw_input): prompt = "Prompt" value = util.get_field(prompt, field_type="invalid") assert value == "" @patch("climesync.util.get_field") def test_get_fields(self, mock_get_field): fields = [ ("strval", "String value", ["str", "val"]), ("*optstrval", "Optional string value"), ("?boolval", "Bool value"), ("*?optboolval", "Optional bool value"), (":timeval", "Time value"), ("*:opttimeval", "Optional time value"), ("!listval", "List value", ["val1", "val2", "val3"]), ("*!optlistval", "Optional list value") ] mocked_input = ["str", "", True, False, "1h0m", "0h30m", ["val1", "val2"], []] expected_values = { "strval": "str", "boolval": True, "optboolval": False, "timeval": "1h0m", "opttimeval": "0h30m", "listval": ["val1", "val2"], } mock_get_field.side_effect = mocked_input values = util.get_fields(fields) assert values == expected_values @patch("climesync.util.get_field") @patch("climesync.util.read_config") def test_add_kv_pair_redundant(self, mock_read_config, mock_get_field): key = "redundant" value = "value" mock_config = MagicMock() mock_config.has_option.return_value = True mock_config.get.return_value = value mock_read_config.return_value = mock_config util.add_kv_pair(key, value) mock_get_field.assert_not_called() @patch("climesync.util.get_field") @patch("climesync.util.write_config") @patch("climesync.util.read_config") def test_add_kv_pair_no(self, mock_read_config, mock_write_config, mock_get_field): key = "key" value = "value" path = "~/.climesyncrc" mock_config = MagicMock() mock_config.has_option.return_value = True mock_config.get.return_value = None mock_read_config.return_value = mock_config mock_get_field.return_value = False util.add_kv_pair(key, value, path) mock_write_config.assert_not_called() @patch("climesync.util.get_field") @patch("climesync.util.write_config") @patch("climesync.util.read_config") def test_add_kv_pair(self, mock_read_config, mock_write_config, mock_get_field): key = "key" value = "value" path = "~/.climesyncrc" mock_config = MagicMock() mock_config.has_option.return_value = True mock_config.get.return_value = None mock_read_config.return_value = mock_config mock_get_field.return_value = True util.add_kv_pair(key, value, path) mock_write_config.assert_called_with(key, value, path) @patch("climesync.util.get_field") def test_get_user_permissions(self, mock_get_field): users = ["userone", "usertwo"] expected_permissions = { "userone": { "member": True, "spectator": False, "manager": False }, "usertwo": { "member": True, "spectator": True, "manager": True } } mocked_input = [True, False, False, True, True, True] mock_get_field.side_effect = mocked_input permissions = util.get_user_permissions(users) assert permissions == expected_permissions def test_get_user_permissions_empty(self): users = [] permissions = util.get_user_permissions(users) assert not permissions def test_fix_user_permissions(self): permissions = { "userzero": "0", "userone": "1", "usertwo": "2", "userthree": "3", "userfour": "4", "userfive": "5", "usersix": "6", "userseven": "7" } fixed_permissions = { "userzero": {"member": False, "spectator": False, "manager": False}, "userone": {"member": False, "spectator": False, "manager": True}, "usertwo": {"member": False, "spectator": True, "manager": False}, "userthree": {"member": False, "spectator": True, "manager": True}, "userfour": {"member": True, "spectator": False, "manager": False}, "userfive": {"member": True, "spectator": False, "manager": True}, "usersix": {"member": True, "spectator": True, "manager": False}, "userseven": {"member": True, "spectator": True, "manager": True} } fixed = util.fix_user_permissions(permissions) self.assertEqual(fixed, fixed_permissions) def test_fix_args_optional(self): args = { "<angle_arg>": "value", "--long-opt": "[list values]", "UPPER_ARG": "True", "--duration": "300", "--blank-arg": None } expected_args = { "angle_arg": "value", "long_opt": ["list", "values"], "upper_arg": True, "duration": 300, } fixed_args = util.fix_args(args, True) print fixed_args print expected_args assert fixed_args == expected_args def test_fix_args_nonoptional(self): args = { "<angle_arg>": "value", "--long-opt": "[list values]", "UPPER_ARG": "True", "--duration": "300", "--blank-arg": None, "invalidarg": None } expected_args = { "angle_arg": "value", "long_opt": ["list", "values"], "upper_arg": True, "duration": 300, "blank_arg": None } fixed_args = util.fix_args(args, False) assert fixed_args == expected_args

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6

ec61dda6419c5d74844abdcf6c1b6669a0586893

28

py

Python

bento/bars/system/__init__.py

mrkgnao/bento

4c1a06e26a206e3d94a126add810d834a4046ba0

[ "MIT" ]

null

bento/bars/system/__init__.py

mrkgnao/bento

4c1a06e26a206e3d94a126add810d834a4046ba0

[ "MIT" ]

null

bento/bars/system/__init__.py

mrkgnao/bento

4c1a06e26a206e3d94a126add810d834a4046ba0

[ "MIT" ]

null

from .cpu_bar import CPUBar

14

27

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5

28

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1

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6

ec7a0a8fd394278db5dc2a415d6d8bca171e88f2

2,748

py

Python

Mock Object/Tweet Checker/OrderedMockObjects.py

ElizaLo/Software-Testing

80561a09ac7e41c64cdb3b3579b61e5130f6d34f

[ "MIT" ]

null

Mock Object/Tweet Checker/OrderedMockObjects.py

ElizaLo/Software-Testing

80561a09ac7e41c64cdb3b3579b61e5130f6d34f

[ "MIT" ]

null

Mock Object/Tweet Checker/OrderedMockObjects.py

ElizaLo/Software-Testing

80561a09ac7e41c64cdb3b3579b61e5130f6d34f

[ "MIT" ]

null

import unittest import pytest from mock import Mock import TweetChecker class TweetTest(unittest.TestCase): @pytest.mark.run('first') def test_1(self): mock_twitter = Mock() TweetChecker.tweet(mock_twitter, "message") mock_twitter.PostUpdate.assert_called_with("message") @pytest.mark.run('second_to_last') def test_3(self): mock_twitter = Mock() TweetChecker.tweet(mock_twitter, "Say hello") mock_twitter.PostUpdate.assert_called_with("Say helo") @pytest.mark.run('second') def test_2(self): mock_twitter = Mock() TweetChecker.tweet(mock_twitter, "“Can’t repeat the past?…Why of course you can!” ― F. Scott Fitzgerald, The Great Gatsby") mock_twitter.PostUpdate.assert_called_with("“Can’t repeat the past?…Why of course you can!” ― F. Scott Fitzgerald, The Great Gatsby") @pytest.mark.run('last') def test_4(self): mock_twitter = Mock() TweetChecker.tweet(mock_twitter, "Hello, it's me") mock_twitter.PostUpdate.assert_called_with("Hello, it's me") ''' def test_3(self): mock_twitter = Mock() TweetChecker.tweet(mock_twitter, "He smiled understandingly-much more than understandingly. It was one of those rare smiles with a quality of eternal reassurance in it, that you may come across four or five times in life. It faced--or seemed to face--the whole eternal world for an instant, and then concentrated on you with an irresistible prejudice in your favor. It understood you just as far as you wanted to be understood, believed in you as you would like to believe in yourself, and assured you that it had precisely the impression of you that, at your best, you hoped to convey. ― F. Scott Fitzgerald, The Great Gatsby") mock_twitter.PostUpdate.assert_called_with("He smiled understandingly-much more than understandingly. It was one of those rare smiles with a quality of eternal reassurance in it, that you may come across four or five times in life. It faced--or seemed to face--the whole eternal world for an instant, and then concentrated on you with an irresistible prejudice in your favor. It understood you just as far as you wanted to be understood, believed in you as you would like to believe in yourself, and assured you that it had precisely the impression of you that, at your best, you hoped to convey. ― F. Scott Fitzgerald, The Great Gatsby") def test_4(self): mock_twitter = Mock() TweetChecker.tweet(mock_twitter, "“He looked at her the way all women want to be looked at by a man.” ― F. Scott Fitzgerald, The Great Gatsby") mock_twitter.PostUpdate.assert_called_with("message") ''' if __name__ == '__main__': unittest.main()

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2,748

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0.333333

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null

0

1

0

null

0

6

ecab81877859930e9054d8a942e9445b80cd23c0

68

py

Python

gpvdm_gui/gui/const_ver.py

roderickmackenzie/gpvdm

914fd2ee93e7202339853acaec1d61d59b789987

[ "BSD-3-Clause" ]

12

2016-09-13T08:58:13.000Z

2022-01-17T07:04:52.000Z

gpvdm_gui/gui/const_ver.py

roderickmackenzie/gpvdm

914fd2ee93e7202339853acaec1d61d59b789987

[ "BSD-3-Clause" ]

3

2017-11-11T12:33:02.000Z

2019-03-08T00:48:08.000Z

gpvdm_gui/gui/const_ver.py

roderickmackenzie/gpvdm

914fd2ee93e7202339853acaec1d61d59b789987

[ "BSD-3-Clause" ]

6

2019-01-03T06:17:12.000Z

2022-01-01T15:59:00.000Z

def const_ver(): return "v8.0" def is_gpvdm_next(): return False

11.333333

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0

1

0

null

0

1

0

1

0

6

ecb63eb2bf383c2b250e776e195296d530ee5ead

12,468

py

Python

qa/rpc-tests/dao-light-voting-cfund.py

mellowsharp/navcoin-core

6d4c580efa1e73791a18d8d2d8e9c9e90fd8e780

[ "MIT" ]

1

2020-08-28T02:32:47.000Z

qa/rpc-tests/dao-light-voting-cfund.py

mellowsharp/navcoin-core

6d4c580efa1e73791a18d8d2d8e9c9e90fd8e780

[ "MIT" ]

null

qa/rpc-tests/dao-light-voting-cfund.py

mellowsharp/navcoin-core

6d4c580efa1e73791a18d8d2d8e9c9e90fd8e780

[ "MIT" ]

2

2020-09-06T20:02:00.000Z

2020-11-19T18:47:42.000Z

#!/usr/bin/env python3 # Copyright (c) 2019 The Navcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. from test_framework.test_framework import NavCoinTestFramework from test_framework.cfund_util import * import time class LightVotingTest(NavCoinTestFramework): """Tests the voting from light wallets""" def __init__(self): super().__init__() self.setup_clean_chain = True self.num_nodes = 3 def setup_network(self, split=False): self.nodes = [] self.nodes = start_nodes(self.num_nodes, self.options.tmpdir, [["-debug=dao","-dandelion=0"]]*3) connect_nodes(self.nodes[0], 1) connect_nodes(self.nodes[1], 2) connect_nodes(self.nodes[2], 0) def run_test(self): # Get cfund parameters blocks_per_voting_cycle = self.nodes[0].cfundstats()["consensus"]["blocksPerVotingCycle"] self.nodes[0].staking(False) self.nodes[1].staking(False) self.nodes[2].staking(False) activate_softfork(self.nodes[0], "coldstaking_v2") votingkey = self.nodes[2].getnewaddress() coldstaking = self.nodes[0].getcoldstakingaddress(self.nodes[1].getnewaddress(),self.nodes[1].getnewaddress(),votingkey) self.nodes[0].sendtoaddress(votingkey, 100) self.nodes[0].sendtoaddress(coldstaking, 3000000) self.nodes[0].sendtoaddress(coldstaking, 3000000) self.nodes[0].sendtoaddress(coldstaking, 3000000) self.nodes[0].sendtoaddress(coldstaking, 3000000) self.nodes[0].sendtoaddress(coldstaking, 3000000) self.nodes[0].sendtoaddress(coldstaking, 3000000) self.nodes[0].donatefund(100000) slow_gen(self.nodes[0], 10) time.sleep(3) proposalid0 = self.nodes[0].createproposal(self.nodes[0].getnewaddress(), 100, 3600, "test")["hash"] slow_gen(self.nodes[0], 1) start_new_cycle(self.nodes[0]) reversed_hash = reverse_byte_str(proposalid0) vote_str = '6a' + 'c1' + 'c2' + 'c4' + '20' + reversed_hash voteno_str = '6a' + 'c1' + 'c2' + 'c5' + '20' + reversed_hash voteabs_str = '6a' + 'c1' + 'c2' + 'c7' + '20' + reversed_hash voterm_str = '6a' + 'c1' + 'c2' + 'c8' + '20' + reversed_hash rawtx=self.nodes[2].createrawtransaction([],{voteabs_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) sync_blocks(self.nodes) self.nodes[1].coinbaseoutputs([self.nodes[1].createrawtransaction( [], {voteno_str: 0}, "", 0)]) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getproposal(proposalid0)["votesYes"], 0) assert_equal(self.nodes[1].getproposal(proposalid0)["votesAbs"], 2) assert_equal(self.nodes[1].getproposal(proposalid0)["votesNo"], 0) # remove abstain vote rawtx=self.nodes[2].createrawtransaction([],{voterm_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) time.sleep(3) sync_blocks(self.nodes) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getproposal(proposalid0)["votesYes"], 0) assert_equal(self.nodes[1].getproposal(proposalid0)["votesAbs"], 2) assert_equal(self.nodes[1].getproposal(proposalid0)["votesNo"], 0) #start new cycle start_new_cycle(self.nodes[0]) #stake 2 blocks with no vote self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) #set vote to yes rawtx=self.nodes[2].createrawtransaction([],{vote_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) sync_blocks(self.nodes) time.sleep(3) #stake 2 blocks with yes vote self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getproposal(proposalid0)["votesYes"], 2) assert_equal(self.nodes[1].getproposal(proposalid0)["votesAbs"], 0) assert_equal(self.nodes[1].getproposal(proposalid0)["votesNo"], 0) #start new cycle start_new_cycle(self.nodes[0]) #2 yes votes self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) #remove votes rawtx=self.nodes[2].createrawtransaction([],{voterm_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) sync_blocks(self.nodes) time.sleep(3) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getproposal(proposalid0)["votesYes"], 2) assert_equal(self.nodes[1].getproposal(proposalid0)["votesAbs"], 0) assert_equal(self.nodes[1].getproposal(proposalid0)["votesNo"], 0) #start new cycle start_new_cycle(self.nodes[0]) rawtx=self.nodes[2].createrawtransaction([],{vote_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) sync_blocks(self.nodes) time.sleep(3) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) # print(self.nodes[0].getproposal(proposalid0)['status']) paymentReqid0 = self.nodes[0].createpaymentrequest(proposalid0, 10, "preq test")["hash"] slow_gen(self.nodes[0], 1) reversed_hash = reverse_byte_str(paymentReqid0) vote_str = '6a' + 'c1' + 'c3' + 'c4' + '20' + reversed_hash voteno_str = '6a' + 'c1' + 'c3' + 'c5' + '20' + reversed_hash voteabs_str = '6a' + 'c1' + 'c3' + 'c7' + '20' + reversed_hash voterm_str = '6a' + 'c1' + 'c3' + 'c8' + '20' + reversed_hash rawtx=self.nodes[2].createrawtransaction([],{voteabs_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) sync_blocks(self.nodes) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesYes"], 0) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesAbs"], 2) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesNo"], 0) rawtx=self.nodes[2].createrawtransaction([],{voterm_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) time.sleep(3) sync_blocks(self.nodes) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesYes"], 0) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesAbs"], 2) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesNo"], 0) #start new cycle start_new_cycle(self.nodes[0]) #stake 2 blocks with no vote self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) #set vote to yes rawtx=self.nodes[2].createrawtransaction([],{vote_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) sync_blocks(self.nodes) time.sleep(3) #stake 2 blocks with yes vote self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesYes"], 2) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesAbs"], 0) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesNo"], 0) #start new cycle start_new_cycle(self.nodes[0]) #2 yes votes self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) #remove votes rawtx=self.nodes[2].createrawtransaction([],{voterm_str:0,'6ac1':0.1}) rawtx = "08" + rawtx[2:] fundedrawtx=self.nodes[2].fundrawtransaction(rawtx,{'changeAddress':votingkey})['hex'] signedrawtx=self.nodes[2].signrawtransaction(fundedrawtx)['hex'] self.nodes[2].sendrawtransaction(signedrawtx) self.nodes[2].generatetoaddress(1, votingkey) sync_blocks(self.nodes) time.sleep(3) self.stake_block(self.nodes[1], False) self.stake_block(self.nodes[1], False) sync_blocks(self.nodes) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesYes"], 2) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesAbs"], 0) assert_equal(self.nodes[1].getpaymentrequest(paymentReqid0)["votesNo"], 0) def stake_block(self, node, mature = True): # Get the current block count to check against while we wait for a stake blockcount = node.getblockcount() # Turn staking on node.staking(True) # wait for a new block to be mined while node.getblockcount() == blockcount: #print("waiting for a new block...") time.sleep(1) # We got one #print("found a new block...") # Turn staking off node.staking(False) # Get the staked block block_hash = node.getbestblockhash() # Only mature the blocks if we asked for it if (mature): # Make sure the blocks are mature before we check the report slow_gen(node, 5, 0.5) self.sync_all() # return the block hash to the function caller return block_hash if __name__ == '__main__': LightVotingTest().main()

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bf03d9c33206f371612a12551af8879ea4a23748

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Python

main.py

vedenev/receptive_field_research

0811daeef16f47ead99be56e6e497261d822c242

[ "MIT" ]

null

main.py

vedenev/receptive_field_research

0811daeef16f47ead99be56e6e497261d822c242

[ "MIT" ]

null

main.py

vedenev/receptive_field_research

0811daeef16f47ead99be56e6e497261d822c242

[ "MIT" ]

null

import fire DEFAULT_SCRIPT = "scripts_list" def run_script(script: str = DEFAULT_SCRIPT) -> None: """ Type python3 main.py to get list of script names """ if script == DEFAULT_SCRIPT: from utils import print_scripts_list print_scripts_list() elif script == "experiment_field_size_vs_depth": from experiments import experiment_field_size_vs_depth experiment_field_size_vs_depth() elif script == "experiment_field_size_vs_depth_res": from experiments import experiment_field_size_vs_depth_res experiment_field_size_vs_depth_res() elif script == "plot_field_size_vs_depth": from visualization_utils import plot_field_size_vs_depth plot_field_size_vs_depth() elif script == "experiment_field_size_vs_depth_thiner": from experiments import experiment_field_size_vs_depth_thiner experiment_field_size_vs_depth_thiner() elif script == "experiment_field_size_by_forward_pass": from experiments import experiment_field_size_by_forward_pass experiment_field_size_by_forward_pass() elif script == 'experiment_field_size_by_forward_pass_for_shifted': from experiments import experiment_field_size_by_forward_pass_for_shifted experiment_field_size_by_forward_pass_for_shifted() elif script == "plot_field_size_by_forward_pass": from visualization_utils import plot_field_size_by_forward_pass plot_field_size_by_forward_pass() elif script == "experiment_field_size_by_forward_pass_constant": from experiments import experiment_field_size_by_forward_pass_constant experiment_field_size_by_forward_pass_constant() elif script == "experiment_field_size_resnet50": from experiments import experiment_field_size_resnet50 experiment_field_size_resnet50() elif script == "experiment_field_size_vs_depth_res_decomposed_init": from experiments import experiment_field_size_vs_depth_res_decomposed_init experiment_field_size_vs_depth_res_decomposed_init() elif script == "experiment_field_size_by_forward_pass_decomposed_init": from experiments import experiment_field_size_by_forward_pass_decomposed_init experiment_field_size_by_forward_pass_decomposed_init() elif script == "plot_field_size_by_forward_pass_decomposed_init": from visualization_utils import plot_field_size_by_forward_pass_decomposed_init plot_field_size_by_forward_pass_decomposed_init() elif script == "show_dataset": from visualization_utils import show_dataset show_dataset() elif script == "experiment_field_size_vs_depth_dot_circular": from experiments import experiment_field_size_vs_depth_dot_circular experiment_field_size_vs_depth_dot_circular() elif script == "experiment_field_size_resnet50_by_forward_pass": from experiments import experiment_field_size_resnet50_by_forward_pass experiment_field_size_resnet50_by_forward_pass() elif script == "plot_field_size_resnet": from visualization_utils import plot_field_size_resnet plot_field_size_resnet() elif script == "experiment_field_size_by_forward_pass_constant_output_image": from experiments import experiment_field_size_by_forward_pass_constant_output_image experiment_field_size_by_forward_pass_constant_output_image() else: print("unexpected script name, type python3 main.py to get help") if __name__ == '__main__': fire.Fire(run_script)

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Python

src/modeci_mdf/interfaces/actr/__init__.py

singular-value/MDF

227216ffb2c9beea8539829b0b891196787d33ee

[ "Apache-2.0" ]

null

src/modeci_mdf/interfaces/actr/__init__.py

singular-value/MDF

227216ffb2c9beea8539829b0b891196787d33ee

[ "Apache-2.0" ]

null

src/modeci_mdf/interfaces/actr/__init__.py

singular-value/MDF

227216ffb2c9beea8539829b0b891196787d33ee

[ "Apache-2.0" ]

null

from .exporter import actr_to_mdf

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py

Python

handlers/errors/__init__.py

roomdie/KingsEmpiresBot

6de6d033318fef1d243dc3347d91b67e84ee285a

[ "MIT" ]

null

handlers/errors/__init__.py

roomdie/KingsEmpiresBot

6de6d033318fef1d243dc3347d91b67e84ee285a

[ "MIT" ]

null

handlers/errors/__init__.py

roomdie/KingsEmpiresBot

6de6d033318fef1d243dc3347d91b67e84ee285a

[ "MIT" ]

null

from . import retry_after

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py

Python

hycohanz/__init__.py

Pablo097/hycohanz

123cd6b270ea28fd6dd8b7e85c7af53d512717d4

[ "BSD-2-Clause" ]

null

hycohanz/__init__.py

Pablo097/hycohanz

123cd6b270ea28fd6dd8b7e85c7af53d512717d4

[ "BSD-2-Clause" ]

null

hycohanz/__init__.py

Pablo097/hycohanz

123cd6b270ea28fd6dd8b7e85c7af53d512717d4

[ "BSD-2-Clause" ]

1

2022-03-03T15:41:57.000Z

from .hycohanz import *

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