xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

668a69950d894c5be476b21543db749add8b52d5

180

py

Python

allauth/socialaccount/providers/pivotaltracker/urls.py

rawjam/django-allauth

2daa33178aa1ab749581c494f4c39e1c72ad5c7b

[ "MIT" ]

null

allauth/socialaccount/providers/pivotaltracker/urls.py

rawjam/django-allauth

2daa33178aa1ab749581c494f4c39e1c72ad5c7b

[ "MIT" ]

null

allauth/socialaccount/providers/pivotaltracker/urls.py

rawjam/django-allauth

2daa33178aa1ab749581c494f4c39e1c72ad5c7b

[ "MIT" ]

null

from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns from provider import PivotalTrackerProvider urlpatterns = default_urlpatterns(PivotalTrackerProvider)

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py

Python

tests/test_photokit.py

oPromessa/osxphotos

0d7e324f0262093727147b9f22ed275e962e8725

[ "MIT" ]

656

2019-08-14T14:10:44.000Z

2022-03-28T15:25:42.000Z

tests/test_photokit.py

oPromessa/osxphotos

0d7e324f0262093727147b9f22ed275e962e8725

[ "MIT" ]

557

2019-10-14T19:00:02.000Z

2022-03-28T00:48:30.000Z

tests/test_photokit.py

oPromessa/osxphotos

0d7e324f0262093727147b9f22ed275e962e8725

[ "MIT" ]

58

2019-12-27T01:39:33.000Z

2022-02-26T22:18:49.000Z

""" test photokit.py methods """ import os import pathlib import tempfile import pytest from osxphotos.photokit import ( LivePhotoAsset, PhotoAsset, PhotoLibrary, VideoAsset, PHOTOS_VERSION_CURRENT, PHOTOS_VERSION_ORIGINAL, PHOTOS_VERSION_UNADJUSTED, ) skip_test = "OSXPHOTOS_TEST_EXPORT" not in os.environ pytestmark = pytest.mark.skipif( skip_test, reason="Skip if not running with author's personal library." ) UUID_DICT = { "plain_photo": { "uuid": "C6C712C5-9316-408D-A3C3-125661422DA9", "filename": "IMG_8844.JPG", }, "hdr": {"uuid": "DD641004-4E37-4233-AF31-CAA0896490B2", "filename": "IMG_6162.JPG"}, "selfie": { "uuid": "C925CFDC-FF2B-4E71-AC9D-C669B6453A8B", "filename": "IMG_1929.JPG", }, "video": { "uuid": "F4430659-7B17-487E-8029-8C1ABEBE23DF", "filename": "IMG_9411.TRIM.MOV", }, "hasadjustments": { "uuid": "2F252D2C-C9DE-4BE1-8610-9F968C634D3D", "filename": "IMG_2860.JPG", "adjusted_size": 3012634, "unadjusted_size": 2580058, }, "slow_mo": { "uuid": "160447F8-4EB0-4FAE-A26A-3D32EA698F75", "filename": "IMG_4055.MOV", }, "live_photo": { "uuid": "8EC216A2-0032-4934-BD3F-04C6259B3304", "filename": "IMG_3259.HEIC", "filename_video": "IMG_3259.mov", }, "burst": { "uuid": "CDE4E5D9-1428-41E6-8569-EC0C45FD8E5A", "filename": "IMG_8196.JPG", "burst_selected": 4, "burst_all": 5, }, "raw+jpeg": { "uuid": "E3DD04AF-CB65-4D9B-BB79-FF4C955533DB", "filename": "IMG_1994.JPG", "raw_filename": "IMG_1994.CR2", "unadjusted_size": 16128420, "uti_raw": "com.canon.cr2-raw-image", "uti": "public.jpeg", }, } def test_fetch_uuid(): """test fetch_uuid""" uuid = UUID_DICT["plain_photo"]["uuid"] filename = UUID_DICT["plain_photo"]["filename"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) assert isinstance(photo, PhotoAsset) def test_plain_photo(): """test plain_photo""" uuid = UUID_DICT["plain_photo"]["uuid"] filename = UUID_DICT["plain_photo"]["filename"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) assert photo.original_filename == filename assert photo.raw_filename is None assert photo.isphoto assert not photo.ismovie def test_raw_plus_jpeg(): """test RAW+JPEG""" uuid = UUID_DICT["raw+jpeg"]["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) assert photo.original_filename == UUID_DICT["raw+jpeg"]["filename"] assert photo.raw_filename == UUID_DICT["raw+jpeg"]["raw_filename"] assert photo.uti_raw() == UUID_DICT["raw+jpeg"]["uti_raw"] assert photo.uti() == UUID_DICT["raw+jpeg"]["uti"] def test_hdr(): """test hdr""" uuid = UUID_DICT["hdr"]["uuid"] filename = UUID_DICT["hdr"]["filename"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) assert photo.original_filename == filename assert photo.hdr def test_burst(): """test burst and burstid""" test_dict = UUID_DICT["burst"] uuid = test_dict["uuid"] filename = test_dict["filename"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) assert photo.original_filename == filename assert photo.burst assert photo.burstid # def test_selfie(): # """ test selfie """ # uuid = UUID_DICT["selfie"]["uuid"] # filename = UUID_DICT["selfie"]["filename"] # lib = PhotoLibrary() # photo = lib.fetch_uuid(uuid) # assert photo.original_filename == filename # assert photo.selfie def test_video(): """test ismovie""" uuid = UUID_DICT["video"]["uuid"] filename = UUID_DICT["video"]["filename"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) assert isinstance(photo, VideoAsset) assert photo.original_filename == filename assert photo.ismovie assert not photo.isphoto def test_slow_mo(): """test slow_mo""" test_dict = UUID_DICT["slow_mo"] uuid = test_dict["uuid"] filename = test_dict["filename"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) assert isinstance(photo, VideoAsset) assert photo.original_filename == filename assert photo.ismovie assert photo.slow_mo assert not photo.isphoto ### PhotoAsset def test_export_photo_original(): """test PhotoAsset.export""" test_dict = UUID_DICT["hasadjustments"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_ORIGINAL) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem assert export_path.stat().st_size == test_dict["unadjusted_size"] def test_export_photo_unadjusted(): """test PhotoAsset.export""" test_dict = UUID_DICT["hasadjustments"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_UNADJUSTED) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem assert export_path.stat().st_size == test_dict["unadjusted_size"] def test_export_photo_current(): """test PhotoAsset.export""" test_dict = UUID_DICT["hasadjustments"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem assert export_path.stat().st_size == test_dict["adjusted_size"] def test_export_photo_raw(): """test PhotoAsset.export for raw component""" test_dict = UUID_DICT["raw+jpeg"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, raw=True) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["raw_filename"] assert export_path.stem == pathlib.Path(filename).stem assert export_path.stat().st_size == test_dict["unadjusted_size"] ### VideoAsset def test_export_video_original(): """test VideoAsset.export""" test_dict = UUID_DICT["video"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_ORIGINAL) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem def test_export_video_unadjusted(): """test VideoAsset.export""" test_dict = UUID_DICT["video"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_UNADJUSTED) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem def test_export_video_current(): """test VideoAsset.export""" test_dict = UUID_DICT["video"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_CURRENT) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem ### Slow-Mo VideoAsset def test_export_slow_mo_original(): """test VideoAsset.export for slow mo video""" test_dict = UUID_DICT["slow_mo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_ORIGINAL) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem def test_export_slow_mo_unadjusted(): """test VideoAsset.export for slow mo video""" test_dict = UUID_DICT["slow_mo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_UNADJUSTED) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem def test_export_slow_mo_current(): """test VideoAsset.export for slow mo video""" test_dict = UUID_DICT["slow_mo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_CURRENT) export_path = pathlib.Path(export_path[0]) assert export_path.is_file() filename = test_dict["filename"] assert export_path.stem == pathlib.Path(filename).stem ### LivePhotoAsset def test_export_live_original(): """test LivePhotoAsset.export""" test_dict = UUID_DICT["live_photo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_ORIGINAL) for f in export_path: filepath = pathlib.Path(f) assert filepath.is_file() filename = test_dict["filename"] assert filepath.stem == pathlib.Path(filename).stem def test_export_live_unadjusted(): """test LivePhotoAsset.export""" test_dict = UUID_DICT["live_photo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_UNADJUSTED) for file in export_path: filepath = pathlib.Path(file) assert filepath.is_file() filename = test_dict["filename"] assert filepath.stem == pathlib.Path(filename).stem def test_export_live_current(): """test LivePhotAsset.export""" test_dict = UUID_DICT["live_photo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, version=PHOTOS_VERSION_CURRENT) for file in export_path: filepath = pathlib.Path(file) assert filepath.is_file() filename = test_dict["filename"] assert filepath.stem == pathlib.Path(filename).stem def test_export_live_current_just_photo(): """test LivePhotAsset.export""" test_dict = UUID_DICT["live_photo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, photo=True, video=False) assert len(export_path) == 1 assert export_path[0].lower().endswith(".heic") def test_export_live_current_just_video(): """test LivePhotAsset.export""" test_dict = UUID_DICT["live_photo"] uuid = test_dict["uuid"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) with tempfile.TemporaryDirectory(prefix="photokit_test") as tempdir: export_path = photo.export(tempdir, photo=False, video=True) assert len(export_path) == 1 assert export_path[0].lower().endswith(".mov") def test_fetch_burst_uuid(): """test fetch_burst_uuid""" test_dict = UUID_DICT["burst"] uuid = test_dict["uuid"] filename = test_dict["filename"] lib = PhotoLibrary() photo = lib.fetch_uuid(uuid) bursts_selected = lib.fetch_burst_uuid(photo.burstid) assert len(bursts_selected) == test_dict["burst_selected"] assert isinstance(bursts_selected[0], PhotoAsset) bursts_all = lib.fetch_burst_uuid(photo.burstid, all=True) assert len(bursts_all) == test_dict["burst_all"] assert isinstance(bursts_all[0], PhotoAsset)

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Python

knowit/providers/__init__.py

labrys/knowit

eea9ac18e38c930230cf81b5dca4a9af9fb10d4e

[ "MIT" ]

null

knowit/providers/__init__.py

labrys/knowit

eea9ac18e38c930230cf81b5dca4a9af9fb10d4e

[ "MIT" ]

null

knowit/providers/__init__.py

labrys/knowit

eea9ac18e38c930230cf81b5dca4a9af9fb10d4e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Provider package.""" from __future__ import unicode_literals from .enzyme import EnzymeProvider from .ffmpeg import FFmpegProvider from .mediainfo import MediaInfoProvider

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py

Python

problems/incorrect_division_method.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

problems/incorrect_division_method.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

problems/incorrect_division_method.py

stereoabuse/codewars

d6437afaef38c3601903891b8b9cb0f84c108c54

[ "MIT" ]

null

## Incorrect division method ## 8 kyu ## https://www.codewars.com/kata/54d1c59aba326343c80000e7 def divide_numbers(x,y): return x / y

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py

Python

hello.py

Lifereborn/cs3240-labdemo

20db420273e78b4a905ec7e3a21fc717d71dc301

[ "MIT" ]

null

hello.py

Lifereborn/cs3240-labdemo

20db420273e78b4a905ec7e3a21fc717d71dc301

[ "MIT" ]

null

hello.py

Lifereborn/cs3240-labdemo

20db420273e78b4a905ec7e3a21fc717d71dc301

[ "MIT" ]

null

from helper import greetings greetings("hi!")

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py

Python

shopping_cart/exc.py

godfrey-leung/shopping

e57c8246961fc3bd5dbffd05e7ffd2ed43a8867a

[ "MIT" ]

null

shopping_cart/exc.py

godfrey-leung/shopping

e57c8246961fc3bd5dbffd05e7ffd2ed43a8867a

[ "MIT" ]

null

shopping_cart/exc.py

godfrey-leung/shopping

e57c8246961fc3bd5dbffd05e7ffd2ed43a8867a

[ "MIT" ]

null

class InstanceNotFound(Exception): """ Raise if an instance is not found in the database """ class InvalidValue(Exception): """ Raise if an invalid value is given """ class OverDemand(Exception): """ Raise if excess demand is requested """ class InvalidAmount(Exception): """ Raise if an invalid total/tax/discount amount is assigned to a shopping cart """

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Python

gavia/__init__.py

brett-hosking/gavia

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[ "MIT" ]

null

gavia/__init__.py

brett-hosking/gavia

d771235902b9a949efa92a1954d47dac8b1b527f

[ "MIT" ]

null

gavia/__init__.py

brett-hosking/gavia

d771235902b9a949efa92a1954d47dac8b1b527f

[ "MIT" ]

null

# Package modules from gavia import camera from gavia import vizualise from gavia import nav from gavia import gps from gavia import log from gavia import time # For nested packages from gavia import image

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py

Python

detection/pixel_link/util/dec.py

HLIG/HUAWEI_OCR2019

1070d6291072e0223c2624f686766d0f3065e9c6

[ "MIT" ]

211

2020-04-13T02:56:57.000Z

2022-03-30T11:22:46.000Z

detection/pixel_link/util/dec.py

HLIG/HUAWEI_OCR2019

1070d6291072e0223c2624f686766d0f3065e9c6

[ "MIT" ]

41

2020-04-14T20:08:58.000Z

2022-03-28T15:08:30.000Z

detection/pixel_link/util/dec.py

HLIG/HUAWEI_OCR2019

1070d6291072e0223c2624f686766d0f3065e9c6

[ "MIT" ]

47

2020-04-13T10:17:11.000Z

2022-02-21T02:06:16.000Z

#encoding=utf-8 import logging import time def print_calling(fn): def wrapper(*args1, ** args2): s = "calling function %s"%(fn.__name__) logging.info(s) start = time.time() ret = fn(*args1, **args2) end = time.time() # s = "%s. time used = %f seconds"%(s, (end - start)) s = "function [%s] has been called, taking %f seconds"%(fn.__name__, (end - start)) logging.debug(s) return ret return wrapper def print_test(fn): def wrapper(*args1, ** args2): s = "running test: %s..."%(fn.__name__) logging.info(s) ret = fn(*args1, **args2) s = "running test: %s...succeed"%(fn.__name__) logging.debug(s) return ret return wrapper def print_calling_in_short(fn): def wrapper(*args1, ** args2): start = time.time() ret = fn(*args1, **args2) end = time.time() s = "function [%s] has been called, taking %f seconds"%(fn.__name__, (end - start)) logging.debug(s) return ret return wrapper import collections counter = collections.defaultdict(int) count_times =collections.defaultdict(int) def print_calling_in_short_for_tf(fn): import tensorflow as tf import util def wrapper(*args1, ** args2): start = time.time() thread_name = util.thread.get_current_thread_name() ret = fn(*args1, **args2) end = time.time() counter[fn.__name__] = counter[fn.__name__] + (end - start) count_times[fn.__name__] += 1 all_time = sum([counter[name] for name in counter]) * 1.0 for name in counter: # tf.logging.info('\t %s: %f, %f seconds'%(name, counter[name] / all_time, counter[name])) tf.logging.info('\t %s: %d callings, %fsper calling'%(name, count_times[name], counter[name] * 1.0 / count_times[name])) s = "Thread [%s]:function [%s] has been called, taking %f seconds"%(thread_name, fn.__name__, (end - start)) tf.logging.info(s) return ret return wrapper def timeit(fn): import util def wrapper(*args1, ** args2): start = time.time() thread_name = util.thread.get_current_thread_name() ret = fn(*args1, **args2) end = time.time() counter[fn.__name__] = counter[fn.__name__] + (end - start) count_times[fn.__name__] += 1 all_time = sum([counter[name] for name in counter]) * 1.0 for name in counter: logging.info('\t %s: %f, %f seconds'%(name, counter[name] / all_time, counter[name])) logging.info('\t %s: %d callings, %f seconds per calling'%(name, count_times[name], counter[name] * 1.0 / count_times[name])) s = "Thread [%s]:function [%s] has been called, taking %f seconds"%(thread_name, fn.__name__, (end - start)) # logging.info(s) return ret return wrapper

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py

Python

apps/presupuesto/admin.py

edilio/cubanoshaciamiami.com

541a22998b7c7ad3acda784c5657bfdf79cc7f07

[ "MIT" ]

null

apps/presupuesto/admin.py

edilio/cubanoshaciamiami.com

541a22998b7c7ad3acda784c5657bfdf79cc7f07

[ "MIT" ]

null

apps/presupuesto/admin.py

edilio/cubanoshaciamiami.com

541a22998b7c7ad3acda784c5657bfdf79cc7f07

[ "MIT" ]

null

from django.contrib import admin from .models import TipoDeGasto, PresupuestoDeGasto admin.site.register(TipoDeGasto) admin.site.register(PresupuestoDeGasto)

27.333333

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0.829268

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0

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6609a45086c57a15190dcecf91e35dfc73259aed

78

py

Python

answers/001/answer1.py

PyLadiesTokyo/pyladies-tokyo-homework

3727451d073eb6e9b48f3cd0561c3b64b109f3a5

[ "Apache-2.0" ]

null

answers/001/answer1.py

PyLadiesTokyo/pyladies-tokyo-homework

3727451d073eb6e9b48f3cd0561c3b64b109f3a5

[ "Apache-2.0" ]

null

answers/001/answer1.py

PyLadiesTokyo/pyladies-tokyo-homework

3727451d073eb6e9b48f3cd0561c3b64b109f3a5

[ "Apache-2.0" ]

1

2020-12-27T13:05:44.000Z

# 1から10までの整数を表示する for num in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]: print(num)

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44

0.538462

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78

2.625

0.9375

0

0.245614

0.269231

78

3

45

26

0.491228

0.192308

0

1

0

false

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null

0

1

0

1

0

1

0

null

0

1

0

5

6638916f5159760226a21213fab0fff099a144f2

158

py

Python

segments/segmentsCommon.py

pinfort/jpeg-analyzer

5e68a1125d8626f34fdac2cf094cef5a2a8a1b58

[ "MIT" ]

5

2018-12-09T01:32:24.000Z

2019-10-23T17:38:50.000Z

segments/segmentsCommon.py

pinfort/jpeg-analyzer

5e68a1125d8626f34fdac2cf094cef5a2a8a1b58

[ "MIT" ]

null

segments/segmentsCommon.py

pinfort/jpeg-analyzer

5e68a1125d8626f34fdac2cf094cef5a2a8a1b58

[ "MIT" ]

2

2018-12-09T01:41:56.000Z

2019-09-28T03:10:04.000Z

from abc import ABCMeta, abstractmethod class SegmentsCommon(metaclass=ABCMeta): @abstractmethod def analyze(self, marker, body): pass

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0.702532

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158

6.9375

0.875

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0

0.227848

158

6

42

26.333333

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0

1

0.2

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1

0

1

0

null

0

1

0

1

0

5

663b03b22a0af9984081680da2ed3fb151315440

86

py

Python

autofront/tests/simple_test.py

JimmyLamothe/autofront

d179e54411f5d53046a5fa52b4430e09b01ebaca

[ "BSD-3-Clause" ]

1

2020-11-16T22:18:03.000Z

autofront/tests/simple_test.py

JimmyLamothe/autofront

d179e54411f5d53046a5fa52b4430e09b01ebaca

[ "BSD-3-Clause" ]

null

autofront/tests/simple_test.py

JimmyLamothe/autofront

d179e54411f5d53046a5fa52b4430e09b01ebaca

[ "BSD-3-Clause" ]

null

import autofront from simple_functions import foo autofront.add(foo) autofront.run()

14.333333

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86

5.833333

0.666667

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0.104651

86

5

33

17.2

0.909091

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1

0

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1

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1

0

5

663b6588c78c4b2d7f4f5cddb71f7f5b145f3ce6

54

py

Python

prototype/data/datasets/__init__.py

ModelTC/mqbench-paper

8d25a3b63c0cde4d904f77439fc435b49b0b33d4

[ "Apache-2.0" ]

6

2021-09-26T03:24:26.000Z

2022-03-17T09:19:18.000Z

prototype/data/datasets/__init__.py

TheGreatCold/mqbench-paper

8d25a3b63c0cde4d904f77439fc435b49b0b33d4

[ "Apache-2.0" ]

null

prototype/data/datasets/__init__.py

TheGreatCold/mqbench-paper

8d25a3b63c0cde4d904f77439fc435b49b0b33d4

[ "Apache-2.0" ]

2

2021-09-01T03:22:06.000Z

2021-09-19T06:16:38.000Z

from .imagenet_dataset import ImageNetDataset # noqa

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5

b0a2caf9d2447dd1aa1058366507843de22c310d

143

py

Python

coding/learn_celery/config.py

yatao91/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

3

2021-05-25T16:58:52.000Z

2022-02-05T09:37:17.000Z

coding/learn_celery/config.py

yataosu/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

null

coding/learn_celery/config.py

yataosu/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

null

# -*- coding: utf-8 -*- broker_url = 'redis://192.168.33.10/0' result_backend = 'redis://192.168.33.10/1' imports = ('learn_celery.tasks',)

17.875

42

0.629371

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143

3.782609

0.782609

0.183908

0.252874

0.298851

0.344828

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0.18254

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143

7

43

20.428571

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0.533333

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1

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null

0

1

0

5

b0a772eb4ccf5983bb0eef911f8bafb1f815a766

161

py

Python

scenarios/settlement_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

12

2015-04-12T06:18:33.000Z

2021-03-03T23:54:19.000Z

scenarios/settlement_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

1

2021-11-24T20:10:19.000Z

scenarios/settlement_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

14

2015-03-23T17:52:06.000Z

2021-11-24T11:04:15.000Z

import balanced balanced.configure('ak-test-2eKlj1ZDfAcZSARMf3NMhBHywDej0avSY') settlement = balanced.Settlement.fetch('/settlements/ST6HmBuLJSEa82oUwId1AShW')

32.2

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1

0

1

null

0

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0

5

b0c414717803420c137b57f5097d0149ee8b7ac9

2,285

py

Python

Coursera/Google_IT_Automation_with_Python/01_Crash_Course_on_Python/Week_5/wk5_mod3_ex2.py

ssolomon2020/Self_Study_Python_Training

b253093b185f4a0d98cb8565f5fcf2b0e4a99556

[ "MIT" ]

null

Coursera/Google_IT_Automation_with_Python/01_Crash_Course_on_Python/Week_5/wk5_mod3_ex2.py

ssolomon2020/Self_Study_Python_Training

b253093b185f4a0d98cb8565f5fcf2b0e4a99556

[ "MIT" ]

null

Coursera/Google_IT_Automation_with_Python/01_Crash_Course_on_Python/Week_5/wk5_mod3_ex2.py

ssolomon2020/Self_Study_Python_Training

b253093b185f4a0d98cb8565f5fcf2b0e4a99556

[ "MIT" ]

null

# Specialization: Google IT Automation with Python # Course 01: Crash Course with Python # Week 5 Module Part 3 Exercise 02 # Student: Shawn Solomon # Learning Platform: Coursera.org # Let’s expand a bit on our Clothing classes from the previous in-video question. Your mission: # Finish the "Stock_by_Material" method and iterate over the amount of each item of a given # material that is in stock. When you’re finished, the script should add up to 10 cotton Polo shirts. # class Clothing: # stock={ 'name': [],'material' :[], 'amount':[]} # def __init__(self,name): # material = "" # self.name = name # def add_item(self, name, material, amount): # Clothing.stock['name'].append(self.name) # Clothing.stock['material'].append(self.material) # Clothing.stock['amount'].append(amount) # def Stock_by_Material(self, material): # count=0 # n=0 # for item in Clothing.stock['___']: # if item == material: # count += Clothing.___['amount'][n] # n+=1 # return count # # class shirt(Clothing): # material="Cotton" # class pants(Clothing): # material="Cotton" # # polo = shirt("Polo") # sweatpants = pants("Sweatpants") # polo.add_item(polo.name, polo.material, 4) # sweatpants.add_item(sweatpants.name, sweatpants.material, 6) # current_stock = polo.Stock_by_Material("Cotton") # print(current_stock) class Clothing: stock={ 'name': [],'material': [], 'amount': []} def __init__(self,name): material = "" self.name = name def add_item(self, name, material, amount): Clothing.stock['name'].append(self.name) Clothing.stock['material'].append(self.material) Clothing.stock['amount'].append(amount) def Stock_by_Material(self, material): count=0 n=0 for item in Clothing.stock['material']: if item == material: count += Clothing.stock['amount'][n] n+=1 return count class shirt(Clothing): material="Cotton" class pants(Clothing): material="Cotton" polo = shirt("Polo") sweatpants = pants("Sweatpants") polo.add_item(polo.name, polo.material, 4) sweatpants.add_item(sweatpants.name, sweatpants.material, 6) current_stock = polo.Stock_by_Material("Cotton") print(current_stock)

33.115942

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0

null

0

1

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null

0

5

b0d95d877dbc18f3a49976b9ba5deae89d43a171

350

py

Python

finished/python_principles/05_type_check.py

UltiRequiem/daily-python-practice

31f72c45378be90b8fcadd30d7042819ee551a17

[ "MIT" ]

8

2021-05-29T23:30:12.000Z

2021-09-24T03:25:44.000Z

finished/python_principles/05_type_check.py

UltiRequiem/daily-python-practice

31f72c45378be90b8fcadd30d7042819ee551a17

[ "MIT" ]

null

finished/python_principles/05_type_check.py

UltiRequiem/daily-python-practice

31f72c45378be90b8fcadd30d7042819ee551a17

[ "MIT" ]

6

2021-06-02T14:20:24.000Z

2021-08-19T00:49:26.000Z

""" Your function should return True if both parameters are integers, and False otherwise. """ def only_ints(a, b) -> bool: return type(a) == int and type(b) == int def tests() -> None: print(only_ints(4, 8)) print(only_ints(4, "u")) print(only_ints("a", 4)) print(only_ints(4, True)) if __name__ == "__main__": tests()

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3.777778

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0

0.018182

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18

87

19.444444

0.723636

0.245714

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0.039063

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0.222222

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0.111111

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0

null

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null

0

1

0

1

0

1

0

5

b0ed5b6a6f6876d6d3b9b9b973debc09d4041302

136

py

Python

bot/permissions.py

Yakov-Varnaev/Epicker_bot

da077e0bcfbd41a2efaed74d71e7c4c818b842c0

[ "MIT" ]

null

bot/permissions.py

Yakov-Varnaev/Epicker_bot

da077e0bcfbd41a2efaed74d71e7c4c818b842c0

[ "MIT" ]

null

bot/permissions.py

Yakov-Varnaev/Epicker_bot

da077e0bcfbd41a2efaed74d71e7c4c818b842c0

[ "MIT" ]

null

from aiogram import types import config async def is_admin(message: types.Message): return message.from_user.id in config.ADMINS

17

48

0.786765

21

136

5

0.714286

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0.154412

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19.428571

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null

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1

0

1

0

1

0

5

9fe326bc9f4e12d04244fe6f4b5e92ea0f66a315

88

py

Python

Algorithm/__init__.py

DSC-Bennett-University/AI-ML-Starter

5dc411c686a703c37eaf7e88db184cb8972ad2d1

[ "MIT" ]

1

2021-10-01T05:54:02.000Z

Algorithm/__init__.py

DSC-Bennett-University/AI-ML-Starter

5dc411c686a703c37eaf7e88db184cb8972ad2d1

[ "MIT" ]

7

2021-09-21T11:38:50.000Z

2021-10-06T10:28:11.000Z

Algorithm/__init__.py

DSC-Bennett-University/AI-ML-Starter

5dc411c686a703c37eaf7e88db184cb8972ad2d1

[ "MIT" ]

4

2021-09-21T12:08:05.000Z

2021-10-01T05:54:08.000Z

from .template import template from .tools import tools from .LinearReg import LinearReg

29.333333

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0.840909

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6.166667

0.416667

0

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88

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29.333333

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1

0

5

b00943e9be2f2f8a05e1b1e0bcce1f1c5bb49902

68

py

Python

exquiro/parsers/openponk/__init__.py

xhusar2/conceptual_model_parser

63eea4ab8b967a6d2ee612ffb4a06b93e97d0043

[ "MIT" ]

null

exquiro/parsers/openponk/__init__.py

xhusar2/conceptual_model_parser

63eea4ab8b967a6d2ee612ffb4a06b93e97d0043

[ "MIT" ]

null

exquiro/parsers/openponk/__init__.py

xhusar2/conceptual_model_parser

63eea4ab8b967a6d2ee612ffb4a06b93e97d0043

[ "MIT" ]

null

from .openpondk_class_diagram_parser import OpenponkClsDiagramParser

68

0.941176

7

68

8.714286

1

0

0.044118

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1

68

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true

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null

0

1

0

1

0

1

0

5

b04e83f0c6c5bd946cc75a63519557d702719e38

2,142

py

Python

pythingspeak/test_pythingspeak.py

mdauphin/pythingspeak

d5971e9347b17a14221564a368fe032ca6acaa03

[ "MIT" ]

null

pythingspeak/test_pythingspeak.py

mdauphin/pythingspeak

d5971e9347b17a14221564a368fe032ca6acaa03

[ "MIT" ]

null

pythingspeak/test_pythingspeak.py

mdauphin/pythingspeak

d5971e9347b17a14221564a368fe032ca6acaa03

[ "MIT" ]

null

#-*- coding: utf-8 -*- import pythingspeak import unittest class TestPyThingSpeak(unittest.TestCase): def test_update(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.update( [ 1, 2 ] ) self.assertTrue(results) def test_feeds(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.feeds() self.assertTrue(results) def test_last(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.last() self.assertTrue(results) def test_entry(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.entry(1) self.assertTrue(results) def test_fields(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.fields(1) self.assertTrue(results) def test_fields(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.fields(1) self.assertTrue(results) def test_last_field(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.last_field(1) self.assertTrue(results) def test_status_update(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.status_update() self.assertTrue(results) def test_list_public_channels(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.list_public_channels() self.assertTrue(results) def test_list_my_channels(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.list_my_channels() self.assertTrue(results) def test_view_channel(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.view_channel() self.assertTrue(results) def test_create_channel(self): ts = pythingspeak.ThingSpeak( channel_id=59596, api_key='ISXCEH1JHRQR85O4' ) results = ts.create_channel() self.assertTrue(results) if __name__ == '__main__': unittest.main()

31.5

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null

0

1

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5

c680e030b9ebdb230ac43be3ba2a8e742227cf78

113

py

Python

tests/test_spliceai_wrapper.py

RipollJ/spliceai-wrapper

29adcc7c93fa45bec953e9df078151653f419a73

[ "MIT" ]

2

2020-05-27T12:55:22.000Z

2020-05-30T12:59:49.000Z

tests/test_spliceai_wrapper.py

RipollJ/spliceai-wrapper

29adcc7c93fa45bec953e9df078151653f419a73

[ "MIT" ]

3

2019-10-08T03:38:55.000Z

2021-11-15T17:51:09.000Z

tests/test_spliceai_wrapper.py

RipollJ/spliceai-wrapper

29adcc7c93fa45bec953e9df078151653f419a73

[ "MIT" ]

2

2020-05-19T12:48:57.000Z

2020-05-20T05:44:21.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `spliceai_wrapper` package.""" import pytest # noqa

18.833333

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1

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1

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5

c687f6be8dfca9ca6885acd96b6da1567a4b50ba

270

py

Python

slbo/policies/uniform_policy.py

LinZichuan/AdMRL

50a22d4d480e99125cc91cc65dfcc0df4a883ac6

[ "MIT" ]

27

2020-06-17T11:40:17.000Z

2021-11-16T07:39:33.000Z

slbo/policies/uniform_policy.py

LinZichuan/AdMRL

50a22d4d480e99125cc91cc65dfcc0df4a883ac6

[ "MIT" ]

3

2020-06-19T07:01:48.000Z

2020-06-19T07:14:57.000Z

slbo/policies/uniform_policy.py

LinZichuan/AdMRL

50a22d4d480e99125cc91cc65dfcc0df4a883ac6

[ "MIT" ]

5

2020-11-19T01:11:24.000Z

2021-12-24T09:03:56.000Z

import numpy as np from . import BasePolicy class UniformPolicy(BasePolicy): def __init__(self, dim_action): self.dim_action = dim_action def get_actions(self, states): return np.random.uniform(-1., 1., states.shape[:-1] + (self.dim_action,))

24.545455

81

0.685185

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270

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1

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5

c6ac1de06c12088cfd7b5e0c3570e7c36efacf0e

68

py

Python

libMap/__init__.py

ChrisSJard/PythonGUI-WinApplication1

54f658e7d345a63d09bff683a635d01d57856e6e

[ "Apache-2.0" ]

null

libMap/__init__.py

ChrisSJard/PythonGUI-WinApplication1

54f658e7d345a63d09bff683a635d01d57856e6e

[ "Apache-2.0" ]

null

libMap/__init__.py

ChrisSJard/PythonGUI-WinApplication1

54f658e7d345a63d09bff683a635d01d57856e6e

[ "Apache-2.0" ]

null

''' MAP v-SCREEN gargle test - Shimadzu 8020 H Date: 30/11/2020 '''

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68

4

44

17

0.589286

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1

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1

0

null

0

1

0

5

c6b8d428a66aa6d3e2e0df39f78679dd2657686d

105

py

Python

Programs/functions/returnFunction.py

LuciKritZ/python

ed5500f5aad3cb15354ca5ebf71748029fc6ae77

[ "MIT" ]

null

Programs/functions/returnFunction.py

LuciKritZ/python

ed5500f5aad3cb15354ca5ebf71748029fc6ae77

[ "MIT" ]

null

Programs/functions/returnFunction.py

LuciKritZ/python

ed5500f5aad3cb15354ca5ebf71748029fc6ae77

[ "MIT" ]

null

def display(): def message(): return "Hello" return message fun = display() print(fun())

15

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105

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0.266667

105

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0.666667

0.166667

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null

0

1

0

null

0

1

0

1

0

5

c6e3e9d0abc03b1874ad93609b620dcead66d6e3

4,874

py

Python

repairfiles.py

MrForg3t/sourcecodetrm

de9ce6eb1714d28998ef1f4a2ebc05cd7bf7d78f

[ "MIT" ]

null

repairfiles.py

MrForg3t/sourcecodetrm

de9ce6eb1714d28998ef1f4a2ebc05cd7bf7d78f

[ "MIT" ]

null

repairfiles.py

MrForg3t/sourcecodetrm

de9ce6eb1714d28998ef1f4a2ebc05cd7bf7d78f

[ "MIT" ]

null

from urllib import request from os import path, system from platform import system as osInfo from time import sleep from urllib import request def repairFileMain(): print("\n") repairAppData() sleep(.2) print("\n") repairEssential() sleep(.2) print("\n") def repairAppData(): try: if osInfo() == "Windows": if not path.exists("data"): system("mkdir data") else: print("No needed to repair data directory.") if not path.exists("data/appData.json"): response = request.urlretrieve("https://raw.githubusercontent.com/MrForg3t/tfxdwn/main/data/appData.json", "data/appData.json") sleep(0.1) print("data/appData.json successfully repaired.") else: print("No needed to repair data/appData.json.") sleep(.2) if not path.exists("data/uuidData.json"): system("type nul > data/uuidData.json") print("data/uuidData.json successfully repaired.") else: print("No needed to repair data/uuidData.json.") if osInfo() == "Darwin": if not path.exists("data"): system("mkdir data") else: print("No needed to repair data directory.") if not path.exists("data/appData.json"): response = request.urlretrieve("https://raw.githubusercontent.com/MrForg3t/tfxdwn/main/data/appData.json", "data/appData.json") sleep(0.1) print("data/appData.json successfully repaired.") else: print("No needed to repair data/appData.json.") sleep(.2) if not path.exists("data/uuidData.json"): system("touch data/uuidData.json") print("data/uuidData.json successfully repaired.") else: print("No needed to repair data/uuidData.json.") if osInfo() == "Linux": if not path.exists("data"): system("mkdir data") else: print("No needed to repair data directory.") if not path.exists("data/appData.json"): response = request.urlretrieve("https://raw.githubusercontent.com/MrForg3t/tfxdwn/main/data/appData.json", "data/appData.json") sleep(0.1) print("data/appData.json successfully repaired.") else: print("No needed to repair data/appData.json.") sleep(.2) if not path.exists("data/uuidData.json"): system("touch data/uuidData.json") print("data/uuidData.json successfully repaired.") else: print("No needed to repair data/uuidData.json.") except Exception as error: print(f"Error: {error}") def repairEssential(): try: if osInfo() == "Windows": if not path.exists("main.exe"): response = request.urlretrieve("https://github.com/MrForg3t/tfxdwn/blob/main/main.exe?raw=true", "main.exe") print("main.exe successfully repaired") sleep(.1) else: print("No needed to repair main.exe.") if not path.exists("launcher.exe"): response = request.urlretrieve("https://github.com/MrForg3t/tfxdwn/blob/main/launcher.exe?raw=true", "launcher.exe") print("launcher.exe successfully repaired") sleep(.1) else: print("No needed to repair launcher.exe.") if not path.exists("uuid_gen.exe"): response = request.urlretrieve("https://github.com/MrForg3t/tfxdwn/blob/main/uuid_gen.exe?raw=true", "uuid_gen.exe") print("uuidgen.exe successfully repaired") sleep(.1) else: print("No needed to repair uuid_gen.exe.") if not path.exists("checkfileint.exe"): response = request.urlretrieve("https://github.com/MrForg3t/tfxdwn/blob/main/checkfileint.exe?raw=true", "checkfileint.exe") print("checkfileint.exe successfully repaired") sleep(.1) else: print("No needed to repair checkfileint.exe.") if osInfo() == "Darwin": print("Not supported for now on that platform.") if osInfo() == "Linux": print("Not supported for now on that platform.") except Exception as error: print(f"Error: {error}") if __name__ == '__main__': repairFileMain() sleep(7)

33.156463

144

0.533032

510

4,874

5.070588

0.143137

0.063805

0.087007

0.075406

0.79389

0.773009

0.695282

0

0.00724

0.348174

4,874

147

145

33.156463

0.806736

0

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0.038835

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0.029126

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0

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null

0

1

0

1

0

1

0

null

0

5

c6f5b57e9157f7c17bb6f3082af0b5d89d425e82

298

py

Python

main.py

pesikj/DataAnalysisUsingPython

00269a7a7b5388fbbdcf3ddadd951a80a07f9c3a

[ "MIT" ]

null

main.py

pesikj/DataAnalysisUsingPython

00269a7a7b5388fbbdcf3ddadd951a80a07f9c3a

[ "MIT" ]

null

main.py

pesikj/DataAnalysisUsingPython

00269a7a7b5388fbbdcf3ddadd951a80a07f9c3a

[ "MIT" ]

null

from statistical_hypothesis_testing.plots import plots_z_test from statistical_hypothesis_testing.tails import Tail #plots_z_test.create_critical_region_plot(alphas=[0.1, 0.05, 0.01], tails=Tail.RIGHT_TAILED) plots_z_test.create_p_value_plot(0.5109,alpha=0.05,lang='cs', tails=Tail.RIGHT_TAILED)

42.571429

92

0.842282

52

298

4.480769

0.519231

0.077253

0.128755

0.274678

0

0.056738

0.053691

298

6

93

49.666667

0.769504

0.305369

0

0.009709

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1

0

null

0

1

0

1

0

1

0

5

05b273137ad8f8c40be4550bda786ffd468b9e75

362

py

Python

src/ef/external_field_uniform.py

tnakaicode/ChargedPaticle-LowEnergy

47b751bcada2af7fc50cef587a48b1a3c12bcbba

[ "MIT" ]

6

2019-04-14T06:19:40.000Z

2021-09-14T13:46:26.000Z

src/ef/external_field_uniform.py

tnakaicode/ChargedPaticle-LowEnergy

47b751bcada2af7fc50cef587a48b1a3c12bcbba

[ "MIT" ]

31

2018-03-02T12:05:20.000Z

2019-02-20T09:29:08.000Z

src/ef/external_field_uniform.py

tnakaicode/ChargedPaticle-LowEnergy

47b751bcada2af7fc50cef587a48b1a3c12bcbba

[ "MIT" ]

10

2017-12-21T15:16:55.000Z

2020-10-31T23:59:50.000Z

from ef.external_field import ExternalField class ExternalFieldUniform(ExternalField): def __init__(self, name, electric_or_magnetic, uniform_field_vector): super().__init__(name, electric_or_magnetic) self.uniform_field_vector = uniform_field_vector def get_at_points(self, positions, time): return self.uniform_field_vector

30.166667

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362

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0.18677

0.280156

0.171206

0

0.160221

362

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74

32.909091

0.845395

0

1

0.285714

false

0

0.142857

0.714286

0

null

0

1

0

null

0

1

0

1

0

5

05b8e002f7910268a9002f66a3d07f197f31db7a

1,778

py

Python

utils/cloud/cloud_client/__init__.py

alexfdo/asr_eval

d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3

[ "MIT" ]

3

2020-03-06T17:20:34.000Z

2021-09-09T09:18:48.000Z

utils/cloud/cloud_client/__init__.py

alexfdo/asr_eval

d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3

[ "MIT" ]

1

2020-02-03T18:25:08.000Z

utils/cloud/cloud_client/__init__.py

alexfdo/asr_eval

d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3

[ "MIT" ]

1

2020-01-29T19:47:54.000Z

# coding: utf-8 # flake8: noqa """ ASR documentation No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 1.0.dev Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import # import apis into sdk package from cloud_client.api.packages_api import PackagesApi from cloud_client.api.recognize_api import RecognizeApi from cloud_client.api.session_api import SessionApi # import ApiClient from cloud_client.cloud_api_client import CloudApiClient from cloud_client.configuration import Configuration # import models into sdk package from cloud_client.models.advanced_recognition_request_dto import AdvancedRecognitionRequestDto from cloud_client.models.asr_advanced_result_dto import ASRAdvancedResultDto from cloud_client.models.asr_result_dto import ASRResultDto from cloud_client.models.audio_file_dto import AudioFileDto from cloud_client.models.auth_request_dto import AuthRequestDto from cloud_client.models.auth_response_dto import AuthResponseDto from cloud_client.models.auth_status_dto import AuthStatusDto from cloud_client.models.message_dto import MessageDto from cloud_client.models.package_dto import PackageDto from cloud_client.models.recognition_request_dto import RecognitionRequestDto from cloud_client.models.sessionless_recognition_request_dto import SessionlessRecognitionRequestDto from cloud_client.models.start_session_request import StartSessionRequest from cloud_client.models.status_dto import StatusDto from cloud_client.models.stream_request_dto import StreamRequestDto from cloud_client.models.stream_response_dto import StreamResponseDto from cloud_client.models.word_dto import WordDto

41.348837

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1,778

6.227848

0.324895

0.128049

0.213415

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0.090786

0.051491

0

0.004329

0.090551

1,778

42

120

42.333333

0.908472

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0

1

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1

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true

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null

0

1

0

1

0

null

0

1

0

1

0

5

05e108ee92867afb8794b956bcf9b413dc00ac01

206

py

Python

webSys/dbweb/util/__init__.py

Qiumy/FIF

8c9c58504ecab510dc0a96944f0031a3fd513d74

[ "Apache-2.0" ]

2

2018-12-21T02:01:03.000Z

2019-10-17T08:07:04.000Z

webSys/dbweb/util/__init__.py

Qiumy/FIF

8c9c58504ecab510dc0a96944f0031a3fd513d74

[ "Apache-2.0" ]

null

webSys/dbweb/util/__init__.py

Qiumy/FIF

8c9c58504ecab510dc0a96944f0031a3fd513d74

[ "Apache-2.0" ]

1

2018-06-01T07:56:09.000Z

#! /usr/bin/env python # -*- coding: utf-8 -*- from flask import Blueprint filter_blueprint = Blueprint('filters', __name__) # Register all the filter. from . import time_process, text_process, user_manage

29.428571

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206

5.214286

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206

7

53

29.428571

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null

0

1

0

null

0

1

0

1

0

5

af2638ff33d3fba5e4671ad6ba6d98342710dd02

91

py

Python

models/retinanet/__init__.py

lihaojia24/pytorch-dt

0a8bda73d2055e960ac4840c651b5dff61bc4f5f

[ "MIT" ]

null

models/retinanet/__init__.py

lihaojia24/pytorch-dt

0a8bda73d2055e960ac4840c651b5dff61bc4f5f

[ "MIT" ]

null

models/retinanet/__init__.py

lihaojia24/pytorch-dt

0a8bda73d2055e960ac4840c651b5dff61bc4f5f

[ "MIT" ]

null

from .fpn import FPN50 from .net import RetinaNet from .box_coder import RetinaBoxCoder

22.75

38

0.802198

13

91

5.538462

0.692308

0

0.026316

0.164835

91

3

39

30.333333

0.921053

0

1

0

true

0

1

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

af747dc207dec3cbffc1da1f8850f8e0ae2ec7ff

110

py

Python

lianapy/graphics.py

mlincett/lianapy

e38c58ffd11a886b5c025621d6ed60516ceb5b2a

[ "MIT" ]

null

lianapy/graphics.py

mlincett/lianapy

e38c58ffd11a886b5c025621d6ed60516ceb5b2a

[ "MIT" ]

null

lianapy/graphics.py

mlincett/lianapy

e38c58ffd11a886b5c025621d6ed60516ceb5b2a

[ "MIT" ]

null

def figure(nrows=1, ncols=1, figsize=(6,6), dpi=150): return plt.subplots(nrows, nclos, figsize, dpi=dpi)

36.666667

55

0.690909

19

110

4

0.684211

0

0.072917

0.127273

110

2

56

55

0.71875

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

af9f58fe0e660b08a353e17203614fe5d6b9e0d5

46

py

Python

chatbot/__init__.py

rdorado79/chatbotlib

bfe44593fe218d13a8c55f80f0c13db67605a5b2

[ "MIT" ]

null

chatbot/__init__.py

rdorado79/chatbotlib

bfe44593fe218d13a8c55f80f0c13db67605a5b2

[ "MIT" ]

null

chatbot/__init__.py

rdorado79/chatbotlib

bfe44593fe218d13a8c55f80f0c13db67605a5b2

[ "MIT" ]

null

# Example package with a console entry point

15.333333

44

0.782609

7

46

5.142857

1

0

0.195652

46

2

45

23

0.972973

0.913043

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

bb6dc22e8ea52200d58eae5889b340543ca4b618

51

py

Python

spacy_thai/__init__.py

KoichiYasuoka/spaCy-Thai

e70aedbd3c8c88e317a4c254d91b3d4151655d1d

[ "MIT" ]

15

2020-09-26T20:59:12.000Z

2022-03-10T05:14:53.000Z

spacy_thai/__init__.py

KoichiYasuoka/spaCy-Thai

e70aedbd3c8c88e317a4c254d91b3d4151655d1d

[ "MIT" ]

4

2020-12-13T18:58:08.000Z

2022-02-21T01:07:37.000Z

spacy_thai/__init__.py

KoichiYasuoka/spaCy-Thai

e70aedbd3c8c88e317a4c254d91b3d4151655d1d

[ "MIT" ]

3

2020-09-27T11:25:42.000Z

2021-05-13T08:48:03.000Z

from .spacy_thai import ThaiTagger,ThaiParser,load

25.5

50

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51

6.142857

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0.078431

51

1

51

0.914894

0

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true

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1

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1

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0

null

0

1

0

1

0

1

0

5

bb809b94005596a2a1d4a23ab288a44cc7045e25

141

py

Python

program5.py

kashifrepo/Python-Saylani

1ac9fe05012ad716d4ef30d771d9828f91221ac6

[ "Apache-2.0" ]

null

program5.py

kashifrepo/Python-Saylani

1ac9fe05012ad716d4ef30d771d9828f91221ac6

[ "Apache-2.0" ]

null

program5.py

kashifrepo/Python-Saylani

1ac9fe05012ad716d4ef30d771d9828f91221ac6

[ "Apache-2.0" ]

null

# Program no 5 1stname = input(" Enter 1st name ") lastname = input(" Enter last name ") print 1stname[::-1] print lastname[::-1]

20.142857

38

0.617021

19

141

4.578947

0.631579

0.229885

0

0.055556

0.234043

141

7

39

20.142857

0.75

0.085106

0

0.270492

0

null

0

null

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

5

bb94c39fa96235061eee688defe888eb7cca4d44

238

py

Python

utils/schedulers.py

Shawn-Guo-CN/EmergentNumerals

ef9786e5bd6c8c456143ad305742340e510f5edb

[ "MIT" ]

2

2019-08-16T21:37:55.000Z

2019-08-18T18:11:28.000Z

utils/schedulers.py

Shawn-Guo-CN/EmergentNumerals

ef9786e5bd6c8c456143ad305742340e510f5edb

[ "MIT" ]

null

utils/schedulers.py

Shawn-Guo-CN/EmergentNumerals

ef9786e5bd6c8c456143ad305742340e510f5edb

[ "MIT" ]

null

from utils.conf import args def tau_scheduler(acc): return args.tau # if acc > 0.95: # return 0.1 # elif acc > 0.9: # return 0.5 # elif acc > 0.8: # return 1.0 # else: # return args.tau

19.833333

27

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37

238

3.27027

0.513514

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0.214876

0

0.087248

0.37395

238

12

28

19.833333

0.724832

0.491597

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

5

bbd438523d7877e78c030d4778fb9485bdd7f4ad

478

py

Python

cymon_v2/komand_cymon_v2/actions/__init__.py

killstrelok/insightconnect-plugins

911358925f4233ab273dbd8172e8b7b9188ebc01

[ "MIT" ]

1

2020-03-18T09:14:55.000Z

cymon_v2/komand_cymon_v2/actions/__init__.py

killstrelok/insightconnect-plugins

911358925f4233ab273dbd8172e8b7b9188ebc01

[ "MIT" ]

1

2021-02-23T23:57:37.000Z

cymon_v2/komand_cymon_v2/actions/__init__.py

killstrelok/insightconnect-plugins

911358925f4233ab273dbd8172e8b7b9188ebc01

[ "MIT" ]

null

# GENERATED BY KOMAND SDK - DO NOT EDIT from .create_feed.action import CreateFeed from .get_feed_details.action import GetFeedDetails from .get_report_document.action import GetReportDocument from .list_all_feeds.action import ListAllFeeds from .list_user_feeds.action import ListUserFeeds from .search.action import Search from .submit_report.action import SubmitReport from .submit_reports_in_bulk.action import SubmitReportsInBulk from .update_feed.action import UpdateFeed

43.454545

62

0.864017

66

478

6.045455

0.515152

0.270677

0.080201

0

0.094142

478

10

63

47.8

0.921478

0.077406

0

1

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

bbdf983b5082ed39dd9de59fc5860b7d988b933b

290

py

Python

align/cli.py

kba/cis-ocrd-py

4b6d2a29ac82cf1ec734a87314a6c774271d09bc

[ "MIT" ]

null

align/cli.py

kba/cis-ocrd-py

4b6d2a29ac82cf1ec734a87314a6c774271d09bc

[ "MIT" ]

null

align/cli.py

kba/cis-ocrd-py

4b6d2a29ac82cf1ec734a87314a6c774271d09bc

[ "MIT" ]

null

import click from ocrd.decorators import ocrd_cli_options, ocrd_cli_wrap_processor from align.aligner import Aligner @click.command() @ocrd_cli_options def cis_ocrd_align(*args, **kwargs): # kwargs['cache_enabled'] = False return ocrd_cli_wrap_processor(Aligner, *args, **kwargs)

26.363636

69

0.786207

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0.487805

0.130233

0.186047

0

0.117241

290

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70

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0

null

0

1

0

null

0

1

0

1

0

5

a52e756102241b8ea4824f9de3490cd248e22558

14,034

py

Python

graphGenerator.py

carlklier/flappai-bird

ea640005494eaf70abc22c41e502593a8aff436f

[ "Apache-2.0" ]

null

graphGenerator.py

carlklier/flappai-bird

ea640005494eaf70abc22c41e502593a8aff436f

[ "Apache-2.0" ]

null

graphGenerator.py

carlklier/flappai-bird

ea640005494eaf70abc22c41e502593a8aff436f

[ "Apache-2.0" ]

null

#%% import base64 import matplotlib.pyplot as plt import numpy as np import json from ast import literal_eval data1encoded = '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' data1bytes = base64.b64decode(data1encoded) data1 = json.loads(data1bytes.decode('utf8')) data2encoded = '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' data2bytes = base64.b64decode(data2encoded) data2 = json.loads(data2bytes.decode('utf8')) scores1 = [] gravity1 = [] pipeInterval1 = [] pipeHeight1 = [] for data in data1["data"]: scores1.append(data['score']) gravity1.append(data['gravity']) pipeInterval1.append(data['pipeInterval']) pipeHeight1.append(data['pipeheight']) scores2 = [] gravity2 = [] pipeInterval2 = [] pipeHeight2 = [] for data in data2["data"]: scores2.append(data['score']) gravity2.append(data['gravity']) pipeInterval2.append(data['pipeInterval']) pipeHeight2.append(data['pipeheight']) x = np.arange(1, 24, 1) fig, ax = plt.subplots() # Create a figure containing a single axes. ax.plot(x, scores1, label='JOE') ax.plot(x, scores2, label='DALTON') plt.xticks(x) ax.set_xlabel('Playthrough') ax.set_ylabel('Score') ax.set_title('Scores over the playthroughs') ax.legend() fig2, ax2 = plt.subplots() # Create a figure containing a single axes. ax2.plot(x, gravity1, label='player1') ax2.plot(x, gravity2, label='player2') plt.xticks(x) ax2.set_xlabel('Playthrough') ax2.set_ylabel('Gravity') ax2.set_title('Gravity strength over 10 playthroughs') ax2.legend() fig3, ax3 = plt.subplots() # Create a figure containing a single axes. ax3.plot(x, pipeInterval1, label='player1') ax3.plot(x, pipeInterval2, label='player2') plt.xticks(x) ax3.set_xlabel('Playthrough') ax3.set_ylabel('Pipe Interval Distance') ax3.set_title('Pipe interval distance over 10 playthroughs') ax3.legend() fig4, ax4 = plt.subplots() # Create a figure containing a single axes. ax4.plot(x, pipeHeight1, label='player1') ax4.plot(x, pipeHeight2, label='player2') plt.xticks(x) ax4.set_xlabel('Playthrough') ax4.set_ylabel('Pipe Height') ax4.set_title('Pipe height over 10 playthroughs') ax4.legend() # %% import csv import base64 import matplotlib.pyplot as plt import numpy as np import json data = [] with open('notddaEnabledData.csv') as csvfile: reader = csv.reader(csvfile) for row in reader: data.append(row[0]) allData = [] for testerData in data: dataBytes = base64.b64decode(testerData) jsonData = json.loads(dataBytes.decode('utf8')) scores = [] pipeInterval = [] pipeHeight = [] i = 0 for run in jsonData["data"]: if(i != 0 and run['pipeInterval'] == 1410.5): break scores.append(run['score']) pipeInterval.append(run['pipeInterval']) pipeHeight.append(run['pipeheight']) i = i + 1 xvals = np.arange(1, len(scores) + 1, 1) playerData = {"xvals":xvals, "scores":scores, "pipeInterval":pipeInterval, "pipeHeight":pipeHeight} allData.append(playerData) fig, ax = plt.subplots() ax.set_xlabel('Playthrough') ax.set_ylabel('Score') ax.set_title('DDA Enabled Scores') for i in range(len(allData)): ax.plot(allData[i]["xvals"], allData[i]["scores"], label='player' + str(i)) ax.legend() fig, ax = plt.subplots() ax.set_xlabel('Playthrough') ax.set_ylabel('pipeInterval') ax.set_title('Baseline pipeInterval Distances') for i in range(len(allData)): ax.plot(allData[i]["xvals"], allData[i]["pipeInterval"], label='player' + str(i)) ax.legend() fig, ax = plt.subplots() ax.set_xlabel('Playthrough') ax.set_ylabel('pipeHeight') ax.set_title('Baseline pipeHeight Distances') for i in range(len(allData)): ax.plot(allData[i]["xvals"], allData[i]["pipeHeight"], label='player' + str(i)) ax.legend() # %% import csv import base64 import matplotlib.pyplot as plt import numpy as np import json dataEnabled = [] with open('ddaEnabledData.csv') as csvfile: reader = csv.reader(csvfile) for row in reader: dataEnabled.append(row[0]) dataNotEnabled = [] with open('notddaEnabledData.csv') as csvfile: reader = csv.reader(csvfile) for row in reader: dataNotEnabled.append(row[0]) allDataEnabled = [] for testerData in dataEnabled: dataBytes = base64.b64decode(testerData) jsonData = json.loads(dataBytes.decode('utf8')) scores = [] pipeInterval = [] pipeHeight = [] i = 0 for run in jsonData["data"]: if(i != 0 and run['pipeInterval'] == 1410.5): break scores.append(run['score']) pipeInterval.append(run['pipeInterval']) pipeHeight.append(run['pipeheight']) i = i + 1 xvals = np.arange(1, len(scores) + 1, 1) playerData = {"xvals":xvals, "scores":scores, "pipeInterval":pipeInterval, "pipeHeight":pipeHeight} allDataEnabled.append(playerData) allDataNotEnabled = [] for testerData in dataNotEnabled: dataBytes = base64.b64decode(testerData) jsonData = json.loads(dataBytes.decode('utf8')) scores = [] pipeInterval = [] pipeHeight = [] i = 0 for run in jsonData["data"]: if(i != 0 and run['pipeInterval'] == 1410.5): break scores.append(run['score']) pipeInterval.append(run['pipeInterval']) pipeHeight.append(run['pipeheight']) i = i + 1 xvals = np.arange(1, len(scores) + 1, 1) playerData = {"xvals":xvals, "scores":scores, "pipeInterval":pipeInterval, "pipeHeight":pipeHeight} allDataNotEnabled.append(playerData) fig, ax = plt.subplots() #plt.legend(bbox_to_anchor=(1.04,1), loc="upper left") ax.set_xlabel('Playthrough') ax.set_ylabel('Score') ax.set_title('DDA vs. Baseline Scores') for i in range(len(allDataEnabled)): ax.plot(allDataEnabled[i]["xvals"], allDataEnabled[i]["scores"], label='DDA_Enabled', color='green') for i in range(len(allDataNotEnabled)): ax.plot(allDataNotEnabled[i]["xvals"], allDataNotEnabled[i]["scores"], label='Baseline', color='red') handles, labels = plt.gca().get_legend_handles_labels() labels, ids = np.unique(labels, return_index=True) handles = [handles[i] for i in ids] plt.legend(handles, labels, loc='best') #ax.legend() # %%

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a544d907f7886fe6cd4c85cf8051e8844cf738ac

54

py

Python

flask_api/app/common/__init__.py

brennanhfredericks/network-monitor-server

7c811d7851aee5d069569306c46dff39d8d52400

[ "MIT" ]

null

flask_api/app/common/__init__.py

brennanhfredericks/network-monitor-server

7c811d7851aee5d069569306c46dff39d8d52400

[ "MIT" ]

null

flask_api/app/common/__init__.py

brennanhfredericks/network-monitor-server

7c811d7851aee5d069569306c46dff39d8d52400

[ "MIT" ]

null

from .appifaceprog import api from .database import db

27

29

0.833333

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54

5.625

0.75

0

0.12963

54

2

30

27

0.957447

0

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0

null

0

1

0

1

0

1

0

5

3c212a108eea23aed5b72646850bf521126d934b

251

py

Python

krb5ticket/errors.py

degagne/python-krb5ticket

1113e0b51e8eac36f6c85cce10e86e2c82ca4828

[ "MIT" ]

2

2021-12-09T05:41:34.000Z

2022-03-18T18:23:24.000Z

krb5ticket/errors.py

degagne/python-krb5ticket

1113e0b51e8eac36f6c85cce10e86e2c82ca4828

[ "MIT" ]

null

krb5ticket/errors.py

degagne/python-krb5ticket

1113e0b51e8eac36f6c85cce10e86e2c82ca4828

[ "MIT" ]

null

class KeytabFileNotExists(RuntimeError): """ Raised when a Kerberos keytab file doesn't exist. """ pass class KtutilCommandNotFound(RuntimeError): """ Raised when ``ktutil`` command-line interface not found. """ pass

19.307692

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0.661355

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251

6.64

0.8

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0.26506

0

0.23506

251

12

61

20.916667

0.864583

0.422311

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

3c7be908e5d846fc839b0269f1d2587bd74e3afb

409

py

Python

identities.py

Nandan-18/Algebraic-Identites

7ba979fbddbf1d487e728ed41aafd1eed5e3e100

[ "MIT" ]

null

identities.py

Nandan-18/Algebraic-Identites

7ba979fbddbf1d487e728ed41aafd1eed5e3e100

[ "MIT" ]

null

identities.py

Nandan-18/Algebraic-Identites

7ba979fbddbf1d487e728ed41aafd1eed5e3e100

[ "MIT" ]

null

# Supporting Module # identities.py def exp1(a, b): return a ** 2 + 2 * a * b + b ** 2 def exp2(a, b): return a ** 2 - 2 * a * b + b ** 2 def exp3(a, b): return (a + b) * (a - b) def exp4(a, b): return (a + b) ** 2 - 2 * a * b def exp5(a, b): return a ** 3 + 3 * a ** 2 * b + 3 * a * b ** 2 + b ** 3 def exp6(a, b): return a ** 3 - 3 * a ** 2 * b + 3 * a * b ** 2 - b ** 3

15.148148

60

0.405868

82

409

2.02439

0.195122

0.168675

0.289157

0.325301

0.578313

0.457831

0

0.102362

0.378973

409

26

61

15.730769

0.551181

0.075795

0

1

0.5

false

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

b1f0550c1843ad31adf65e89fa5211ad4acfccfc

1,328

py

Python

tests/iterators/pull_test.py

SSouik/pyutil

d2250fb585679e49eb9056a3051bf239a58c2e8b

[ "MIT" ]

null

tests/iterators/pull_test.py

SSouik/pyutil

d2250fb585679e49eb9056a3051bf239a58c2e8b

[ "MIT" ]

21

2022-01-05T04:51:33.000Z

2022-01-28T05:45:57.000Z

tests/iterators/pull_test.py

SSouik/pyutil

d2250fb585679e49eb9056a3051bf239a58c2e8b

[ "MIT" ]

null

import pytest from pyutil import pull def test_pull_with_empty_list(): lst = [] pull(lst, 1) expected = [] assert lst == expected def test_pull_when_list_has_values(): lst = [1, 2, 3, 4, 5] pull(lst, 2) expected = [1, 3, 4, 5] assert lst == expected def test_pull_when_list_has_values_2(): lst = [1, 2, 3, 4, 5] pull(lst, 2, 3, 4) expected = [1, 5] assert lst == expected def test_pull_when_list_has_values_3(): lst = [1, 2, 3, 4, 5] pull(lst, 1, 4) expected = [2, 3, 5] assert lst == expected def test_pull_when_list_has_values_4(): lst = [{"foo": 1, "bar": 2}, {"abc": 1, "def": 2}] pull(lst, {"foo": 1, "bar": 2}) expected = [{"abc": 1, "def": 2}] assert lst == expected def test_pull_when_list_has_duplicate_values(): lst = [1, 2, 2, 3, 4, 4, 5] pull(lst, 2) expected = [1, 3, 4, 4, 5] assert lst == expected def test_pull_when_list_has_duplicate_values_2(): lst = [1, 2, 2, 3, 4, 4, 5] pull(lst, 2, 3, 4) expected = [1, 5] assert lst == expected def test_pull_when_list_has_duplicate_values_3(): lst = [1, 2, 2, 3, 4, 4, 5] pull(lst, 2, 4) expected = [1, 3, 5] assert lst == expected def test_pull_seq_is_not_a_list(): with pytest.raises(TypeError): pull("foo", 1)

20.75

54

0.582831

224

1,328

3.21875

0.138393

0.027739

0.137309

0.221914

0.762829

0.726768

0.662968

0.603329

0

0.083333

0.259036

1,328

63

55

21.079365

0.64939

0

0.444444

0

0.020331

0

0.177778

1

0.2

false

0

0.044444

0

0.244444

0

null

0

1

0

1

0

1

0

null

0

5

3cc9c9c6db3e02d74038abeb59341c1138d3a879

70

py

Python

saleor/plugins/category/notify_event.py

hoangtuananh97/saleor

94ad493ef61302fb458822868fc2b4a884ec2065

[ "CC-BY-4.0" ]

null

saleor/plugins/category/notify_event.py

hoangtuananh97/saleor

94ad493ef61302fb458822868fc2b4a884ec2065

[ "CC-BY-4.0" ]

4

2021-09-06T03:55:32.000Z

2021-10-15T08:47:58.000Z

saleor/plugins/category/notify_event.py

hoangtuananh97/saleor

94ad493ef61302fb458822868fc2b4a884ec2065

[ "CC-BY-4.0" ]

null

def send_category_notify(): print("Plugin Category when created")

23.333333

41

0.757143

9

70

5.666667

0.888889

0

0.142857

70

2

42

35

0.85

0

0.4

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

a72b62dfb661d28b942c1bbe2cd44f6d11909efd

10,504

py

Python

tests/test_word_distance.py

hasibaasma/alfpy

c8c0c1300108015746320cede2207ac57e630d3e

[ "MIT" ]

19

2017-02-20T17:42:02.000Z

2021-12-16T19:07:17.000Z

tests/test_word_distance.py

eggleader/alfpy

e0782e9551458ef17ab29df8af13fc0f8925e894

[ "MIT" ]

3

2018-03-12T23:54:27.000Z

2020-12-09T21:53:19.000Z

tests/test_word_distance.py

eggleader/alfpy

e0782e9551458ef17ab29df8af13fc0f8925e894

[ "MIT" ]

6

2016-12-06T09:12:04.000Z

2021-09-24T14:40:47.000Z

import unittest from alfpy import word_pattern from alfpy import word_vector from alfpy import word_distance from alfpy.utils import distmatrix from . import utils class DistanceTest(unittest.TestCase, utils.ModulesCommonTest): def __init__(self, *args, **kwargs): super(DistanceTest, self).__init__(*args, **kwargs) utils.ModulesCommonTest.set_test_data() self.pattern = word_pattern.create(self.dna_records.seq_list, 2) self.counts = word_vector.Counts(self.dna_records.length_list, self.pattern) self.freqs = word_vector.Freqs(self.dna_records.length_list, self.pattern) def test_angle_cos_diss_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'angle_cos_diss') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.2797355 0.1500672', 'seq2 0.2797355 0.0000000 0.1261027', 'seq3 0.1500672 0.1261027 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_angle_cos_evol_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'angle_cos_evol') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.3281368 0.1625980', 'seq2 0.3281368 0.0000000 0.1347925', 'seq3 0.1625980 0.1347925 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_diff_abs_add_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'diff_abs_add') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.0810458 0.0507937', 'seq2 0.0810458 0.0000000 0.0526611', 'seq3 0.0507937 0.0526611 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_diff_abs_mult1_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'diff_abs_mult1') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.0621975 0.0501075', 'seq2 0.0621975 0.0000000 0.0955847', 'seq3 0.0501075 0.0955847 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_diff_abs_mult2_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'diff_abs_mult2') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.0621975 0.0404611', 'seq2 0.0621975 0.0000000 0.0531478', 'seq3 0.0404611 0.0531478 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_euclid_seqlen1_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'euclid_seqlen1') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.0065879 0.0032065', 'seq2 0.0065879 0.0000000 0.0041065', 'seq3 0.0032065 0.0041065 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_euclid_seqlen2_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'euclid_seqlen2') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.0072101 0.0038263', 'seq2 0.0072101 0.0000000 0.0039866', 'seq3 0.0038263 0.0039866 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_manhattan_freqs(self): dist = word_distance.Distance(self.freqs, 'manhattan') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 1.2156863 0.7619048", "seq2 1.2156863 0.0000000 0.7899160", "seq3 0.7619048 0.7899160 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_chebyshev_freqs(self): dist = word_distance.Distance(self.freqs, 'chebyshev') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 0.1936275 0.1250000", "seq2 0.1936275 0.0000000 0.1428571", "seq3 0.1250000 0.1428571 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_braycurtis_freqs(self): dist = word_distance.Distance(self.freqs, 'braycurtis') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 0.6078431 0.3809524", "seq2 0.6078431 0.0000000 0.3949580", "seq3 0.3809524 0.3949580 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_diff_abs_mult_freqs(self): dist = word_distance.Distance(self.freqs, 'diff_abs_mult') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 0.0621975 0.0404611", "seq2 0.0621975 0.0000000 0.0531478", "seq3 0.0404611 0.0531478 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_kld_freqs(self): dist = word_distance.Distance(self.freqs, 'kld') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 0.0932800 0.0435210", "seq2 0.0932800 0.0000000 0.0447391", "seq3 0.0435210 0.0447391 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_lcc_freqs(self): dist = word_distance.Distance(self.freqs, 'lcc') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 0.6205496 0.4017554", "seq2 0.6205496 0.0000000 0.2550506", "seq3 0.4017554 0.2550506 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_canberra_freqs(self): dist = word_distance.Distance(self.freqs, 'canberra') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 10.3372258 7.1836838", "seq2 10.3372258 0.0000000 6.6280959", "seq3 7.1836838 6.6280959 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_minkowski_freqs(self): dist = word_distance.Distance(self.freqs, 'minkowski') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 0.3763512 0.2532387", "seq2 0.3763512 0.0000000 0.2603008", "seq3 0.2532387 0.2603008 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_minkowski_throws_exception(self): dist = word_distance.Distance(self.freqs, 'minkowski') with self.assertRaises(Exception) as context: dist.pwdist_minkowski(0, 1, 0.2) self.assertIn('p must be at least 1', str(context.exception)) def test_jsd_freqs(self): dist = word_distance.Distance(self.freqs, 'jsd') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [ " 3", "seq1 0.0000000 0.4608882 0.2550278", "seq2 0.4608882 0.0000000 0.2457790", "seq3 0.2550278 0.2457790 0.0000000" ] self.assertEqual(matrix.format(), "\n".join(data)) def test_euclid_squared_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'euclid_squared') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.1416402 0.0641298', 'seq2 0.1416402 0.0000000 0.0677565', 'seq3 0.0641298 0.0677565 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_euclid_norm_counts(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.counts, 'euclid_norm') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 7.5498344 5.4772256', 'seq2 7.5498344 0.0000000 4.3588989', 'seq3 5.4772256 4.3588989 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_euclid_norm_freqs(self): # The result of this method is identical to that from decaf+py. dist = word_distance.Distance(self.freqs, 'euclid_norm') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.3763512 0.2532387', 'seq2 0.3763512 0.0000000 0.2603008', 'seq3 0.2532387 0.2603008 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) def test_google_freqs(self): dist = word_distance.Distance(self.freqs, 'google') matrix = distmatrix.create(self.dna_records.id_list, dist) data = [' 3', 'seq1 0.0000000 0.6078431 0.3809524', 'seq2 0.6078431 0.0000000 0.3949580', 'seq3 0.3809524 0.3949580 0.0000000'] self.assertEqual(matrix.format(), "\n".join(data)) if __name__ == '__main__': unittest.main()

43.949791

77

0.58035

1,298

10,504

4.566256

0.117874

0.080985

0.053147

0.070862

0.726843

0.7233

0.71149

0.630167

0

0.210411

0.305027

10,504

238

78

44.134454

0.601507

0.05893

0

0.365

0

0.279927

0

0.11

1

0.11

false

0

0.03

0

0.145

0

null

0

1

0

1

0

1

0

null

0

5

59945bb43aee8c097a1605b49beb38bfd751d29b

25

py

Python

1795.py

heltonricardo/URI

160cca22d94aa667177c9ebf2a1c9864c5e55b41

[ "MIT" ]

6

2021-04-13T00:33:43.000Z

2022-02-10T10:23:59.000Z

1795.py

heltonricardo/URI

160cca22d94aa667177c9ebf2a1c9864c5e55b41

[ "MIT" ]

null

1795.py

heltonricardo/URI

160cca22d94aa667177c9ebf2a1c9864c5e55b41

[ "MIT" ]

3

2021-03-23T18:42:24.000Z

2022-02-10T10:24:07.000Z

print(3 ** int(input()))

12.5

24

0.56

4

25

3.5

1

0

0.045455

0.12

25

1

25

0.590909

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

59d013d73876feaa26a2738bca986d2343c60672

38

py

Python

cours/texte-et-binaire/tmp/main.py

boisgera/python-fr

583f7eae7baa949461464e9b53a415be16c1dd3e

[ "CC-BY-4.0" ]

null

cours/texte-et-binaire/tmp/main.py

boisgera/python-fr

583f7eae7baa949461464e9b53a415be16c1dd3e

[ "CC-BY-4.0" ]

null

cours/texte-et-binaire/tmp/main.py

boisgera/python-fr

583f7eae7baa949461464e9b53a415be16c1dd3e

[ "CC-BY-4.0" ]

null

print("Hello") 1 / 0 print("world!")

7.6

15

0.578947

6

38

3.666667

0.833333

0

0.0625

0.157895

38

4

16

9.5

0.625

0

0.297297

0

1

0

true

0

0.666667

1

0

null

0

1

0

null

0

1

0

1

0

5

ab7c6369edf868cf9d86121ac9188f5575e5dd08

50

py

Python

fltk/datasets/data_distribution/__init__.py

tudelft-eemcs-dml/fltk-testbed-gr-4

3472d80903a0d0993af9cf2e6347aeb81d1a0515

[ "BSD-2-Clause" ]

1

2022-03-24T10:14:31.000Z

fltk/datasets/data_distribution/__init__.py

tudelft-eemcs-dml/fltk-testbed-gr-4

3472d80903a0d0993af9cf2e6347aeb81d1a0515

[ "BSD-2-Clause" ]

2

2021-05-11T12:48:14.000Z

2021-05-11T12:49:24.000Z

fltk/datasets/data_distribution/__init__.py

tudelft-eemcs-dml/fltk-testbed-gr-4

3472d80903a0d0993af9cf2e6347aeb81d1a0515

[ "BSD-2-Clause" ]

2

2021-05-03T17:40:18.000Z

2021-05-11T09:34:30.000Z

from .iid_equal import distribute_batches_equally

25

49

0.9

7

50

6

1

0

0.08

50

1

50

0.913043

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ab8d450cb3702c82bd719fcd4bb6236e74377687

244

py

Python

src/core/exc.py

arnulfojr/nginx-proxy-yml

afa090f11034076f00e4bf49ffef65a7f157c923

[ "MIT" ]

1

2021-11-16T04:18:43.000Z

src/core/exc.py

arnulfojr/nginx-proxy-yml

afa090f11034076f00e4bf49ffef65a7f157c923

[ "MIT" ]

1

2021-06-01T22:01:31.000Z

src/core/exc.py

arnulfojr/nginx-proxy-yml

afa090f11034076f00e4bf49ffef65a7f157c923

[ "MIT" ]

null

class CoreException(Exception): def __init__(self, message): self.message = message class ValidationError(CoreException): def __init__(self, message, errors=[]): super().__init__(message) self.errors = errors

22.181818

43

0.672131

24

244

6.333333

0.416667

0.217105

0.144737

0.236842

0

0.217213

244

10

44

24.4

0.795812

0

1

0.285714

false

0

0.571429

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

abedb7b5e1c8f300b4bf64a7a429b96267ce296d

210

py

Python

coding/learn_python/function_object/reduce_mul_demo.py

yatao91/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

3

2021-05-25T16:58:52.000Z

2022-02-05T09:37:17.000Z

coding/learn_python/function_object/reduce_mul_demo.py

yataosu/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

null

coding/learn_python/function_object/reduce_mul_demo.py

yataosu/learning_road

e88dc43de98e35922bfc71c222ec71766851e618

[ "MIT" ]

null

# -*- coding: UTF-8 -*- from functools import reduce from operator import mul def fact_lambda(n): return reduce(lambda a, b: a * b, range(1, n+1)) def fact_mul(n): return reduce(mul, range(1, n+1))

17.5

52

0.647619

37

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abf8894b09295d75fbe3b3b420d30f7d1212e4ff

257

py

Python

authentication/models.py

mzazakeith/Therapy101

be00dd988c6b636f52b57638e70c89da3acbf1a3

[ "MIT" ]

null

authentication/models.py

mzazakeith/Therapy101

be00dd988c6b636f52b57638e70c89da3acbf1a3

[ "MIT" ]

15

2020-06-05T18:55:18.000Z

2022-03-08T22:20:14.000Z

authentication/models.py

mzazakeith/Therapy101

be00dd988c6b636f52b57638e70c89da3acbf1a3

[ "MIT" ]

null

from django.contrib.auth.models import AbstractUser from django.db import models class User(AbstractUser): is_slta = models.BooleanField(default=False) is_slt = models.BooleanField(default=False) is_parent = models.BooleanField(default=False)

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2806153fe5679750056acfcdb852bf9fdff951e3

374

py

Python

src/python_pachyderm/experimental/mixin/__init__.py

sjezewski/pypachy

4bc022d0c73140475f9bd0acd5c0e7204609de26

[ "Apache-2.0" ]

2

2017-02-01T14:22:34.000Z

2017-02-01T19:58:54.000Z

src/python_pachyderm/experimental/mixin/__init__.py

sjezewski/pypachy

4bc022d0c73140475f9bd0acd5c0e7204609de26

[ "Apache-2.0" ]

3

2018-02-13T20:40:59.000Z

2018-02-13T22:23:41.000Z

src/python_pachyderm/experimental/mixin/__init__.py

sjezewski/pypachy

4bc022d0c73140475f9bd0acd5c0e7204609de26

[ "Apache-2.0" ]

null

""" Exposes an experimental mixin for each pachyderm service. These mixins should not be used directly; instead, you should use ``python_pachyderm.experimental.Client()``. The mixins exist exclusively in order to provide better code organization, because we have several mixins, rather than one giant :class:`Client <python_pachyderm.experimental.client.Client>` class. """

41.555556

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f9f39e941eb9fa32c988e9be54fb0bea84a7c4e4

45

py

Python

nautobot_plugin_nornir/tests/__init__.py

FragmentedPacket/nautobot-plugin-nornir

ef3ce9e1eb1d8e04002f0f5c3f5e34389ada20cb

[ "Apache-2.0" ]

13

2021-02-28T00:21:31.000Z

2022-03-10T13:04:50.000Z

nautobot_plugin_nornir/tests/__init__.py

rileyL6122428/nautobot-plugin-nornir

67773960aebe4df5e6cda11f1c7e0bfd93c24fee

[ "Apache-2.0" ]

18

2021-03-13T03:24:09.000Z

2022-02-28T15:24:51.000Z

nautobot_plugin_nornir/tests/__init__.py

rileyL6122428/nautobot-plugin-nornir

67773960aebe4df5e6cda11f1c7e0bfd93c24fee

[ "Apache-2.0" ]

14

2021-03-04T03:21:16.000Z

2021-12-20T10:20:55.000Z

"""Unit tests for nautobot_plugin_nornir."""

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e66279995933e8ecb67f6f34946455046a6bef43

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py

Python

protonn/vis/__init__.py

protoNN-ai/protoNN

812fd524a8c2de49612bbb1fc991c503fe3f1202

[ "Apache-2.0" ]

3

2018-06-20T08:37:13.000Z

2019-02-21T00:14:47.000Z

protonn/vis/__init__.py

protoNN-ai/protoNN

812fd524a8c2de49612bbb1fc991c503fe3f1202

[ "Apache-2.0" ]

null

protonn/vis/__init__.py

protoNN-ai/protoNN

812fd524a8c2de49612bbb1fc991c503fe3f1202

[ "Apache-2.0" ]

null

from .vis import df_from_file, df_from_dir, filter_by, PivotTable from .lines import plot_lines

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5

05311a2863ffbf10e5b4872464958a44b018f474

2,929

py

Python

src/benchmark/probe_training_wrapper.py

dumpmemory/PEARL_v1

df46be5ed86ba7850486b578a8926aa151e7bf87

[ "MIT" ]

24

2021-06-10T04:09:00.000Z

2021-11-02T11:23:35.000Z

src/benchmark/probe_training_wrapper.py

dumpmemory/PEARL_v1

df46be5ed86ba7850486b578a8926aa151e7bf87

[ "MIT" ]

1

2021-06-08T15:27:38.000Z

2021-06-08T15:41:05.000Z

src/benchmark/probe_training_wrapper.py

dumpmemory/PEARL_v1

df46be5ed86ba7850486b578a8926aa151e7bf87

[ "MIT" ]

4

2021-06-10T02:28:12.000Z

2021-08-24T13:00:14.000Z

from .probe import ProbeTrainer # train using embeddings def train_embeddings(encoder, probe_type, num_epochs, lr, patience, wandb, save_dir, batch_size, tr_episodes, val_episodes, tr_labels, val_labels, test_episodes, test_labels, use_encoder=False, save_interval=100): if use_encoder: enc = encoder else: enc = None probe_trainer = ProbeTrainer(encoder=enc, epochs=num_epochs, lr=lr, batch_size=batch_size, patience=patience, wandb=wandb, fully_supervised=False, save_dir=save_dir, representation_len=encoder.feature_size) probe_trainer.train(tr_episodes, val_episodes, tr_labels, val_labels, save_interval=save_interval) final_accuracies, final_f1_scores = probe_trainer.test(test_episodes, test_labels) wandb.log(final_accuracies) wandb.log(final_f1_scores) # train using images def train_images(encoder, probe_type, num_epochs, lr, patience, wandb, save_dir, batch_size, tr_episodes, val_episodes, tr_labels, val_labels, test_episodes, test_labels, save_interval=100): probe_trainer = ProbeTrainer(encoder=encoder, epochs=num_epochs, lr=lr, batch_size=batch_size, patience=patience, wandb=wandb, fully_supervised=False, save_dir=save_dir, representation_len=encoder.feature_size) probe_trainer.train(tr_episodes, val_episodes, tr_labels, val_labels, save_interval=save_interval) final_accuracies, final_f1_scores = probe_trainer.test(test_episodes, test_labels) wandb.log(final_accuracies) wandb.log(final_f1_scores) # main training method def run_probe_training(training_input, encoder, probe_type, num_epochs, lr, patience, wandb, save_dir, batch_size, tr_episodes, val_episodes, tr_labels, val_labels, test_episodes, test_labels, use_encoder=False, save_interval=100): if training_input == 'embeddings': train_embeddings(encoder, probe_type, num_epochs, lr, patience, wandb, save_dir, batch_size, tr_episodes, val_episodes, tr_labels, val_labels, test_episodes, test_labels, use_encoder=use_encoder, save_interval=save_interval) elif training_input == 'images': train_images(encoder, probe_type, num_epochs, lr, patience, wandb, save_dir, batch_size, tr_episodes, val_episodes, tr_labels, val_labels, test_episodes, test_labels, save_interval=save_interval) else: print("Invalid input...choose either 'embeddings' and 'images'")

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null

0

1

0

null

0

5

053b82076a707b4cf23d2d9a676fce87856d471c

17,136

py

Python

tests/test_crawler.py

jacopoabbate/datavault-api-python-client

70c3113b56db77de3835b4210dd7bffb22b34c9f

[ "MIT" ]

null

tests/test_crawler.py

jacopoabbate/datavault-api-python-client

70c3113b56db77de3835b4210dd7bffb22b34c9f

[ "MIT" ]

null

tests/test_crawler.py

jacopoabbate/datavault-api-python-client

70c3113b56db77de3835b4210dd7bffb22b34c9f

[ "MIT" ]

null

import datetime import pytest import requests from datavault_api_client import crawler from datavault_api_client.data_structures import DiscoveredFileInfo class TestCleanRawFilename: @pytest.mark.parametrize( "datavault_assigned_name, expected_cleaned_filename", [ ("WATCHLIST_username_676_20200610.txt.bz2", "WATCHLIST_676_20200610.txt.bz2"), ("CROSSREF_903_20200610.txt.bz2", "CROSSREF_903_20200610.txt.bz2"), ("COREREF_945_20200610.txt.bz2", "COREREF_945_20200610.txt.bz2"), ("REPLAY_794_20200316.txt.bz2", "REPLAY_794_20200316.txt.bz2"), ("SEDOL_794_20200316.txt.bz2", "SEDOL_794_20200316.txt.bz2"), ("CUSIP_794_20200316.txt.bz2", "CUSIP_794_20200316.txt.bz2"), ("PREMREF_794_20200316.txt.bz2", "PREMREF_794_20200316.txt.bz2"), ], ) def test_name_cleaning(self, datavault_assigned_name, expected_cleaned_filename): # Setup - none # Exercise cleaned_filename = crawler.clean_raw_filename(datavault_assigned_name) # Verify assert cleaned_filename == expected_cleaned_filename # Cleanup - none class TestParseSourceFromName: def test_source_id_parser(self): # Setup filename_to_parse = "WATCHLIST_945_20201201.txt.bz2" # Exercise parsed_source_id = crawler.parse_source_from_name(filename_to_parse) # Verify expected_source_id = "945" assert parsed_source_id == expected_source_id # Cleanup - none class TestParseReferenceDate: def test_reference_date_parser(self): # Setup filename_to_parse = "WATCHLIST_945_20201201.txt.bz2" # Exercise parsed_reference_date = crawler.parse_reference_date(filename_to_parse) # Verify expected_reference_date = datetime.datetime(year=2020, month=12, day=1) assert parsed_reference_date == expected_reference_date # Cleanup - none class TestCreateDiscoveredFileObject: def test_discovered_file_object_creation(self): # Setup file_node = { 'name': 'WATCHLIST_accountname_945_20201130.txt.bz2', 'fid': '20201130-S945_WATCHLIST_accountname_0_0', 'parent': '/v2/list/2020/11/30/S945/WATCHLIST', 'url': '/v2/data/2020/11/30/S945/WATCHLIST/20201130-S945_WATCHLIST_accountname_0_0', 'size': 78994869, 'md5sum': 'bf703f867cad0b414d84fac0c9bfe0e5', 'createdAt': '2020-11-30T23:22:36', 'updatedAt': '2020-11-30T23:22:36', 'writable': False, 'directory': False } # Exercise created_discovered_file_object = crawler.create_discovered_file_object(file_node) # Verify expected_discovered_file_object = DiscoveredFileInfo( file_name='WATCHLIST_945_20201130.txt.bz2', download_url=( "https://api.icedatavault.icedataservices.com/v2/data/2020/11/30/S945/WATCHLIST/" "20201130-S945_WATCHLIST_accountname_0_0" ), source_id=945, reference_date=datetime.datetime(year=2020, month=11, day=30), size=78994869, md5sum="bf703f867cad0b414d84fac0c9bfe0e5", ) assert created_discovered_file_object == expected_discovered_file_object # Cleanup - none class TestInitializeSearch: def test_initialization_of_search_from_instrument_url( self, mocked_datavault_api_instrument_level, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list/2020/07/16/S367/WATCHLIST" credentials = ("username", "password") # Exercise stack, leaf_nodes = crawler.initialise_search(url, credentials, session) # Verify expected_stack = [] expected_leaf_nodes = [ DiscoveredFileInfo( file_name="WATCHLIST_367_20200716.txt.bz2", download_url=( "https://api.icedatavault.icedataservices.com/v2/data/2020/07/16/S367/" "WATCHLIST/20200716-S367_WATCHLIST_username_0_0" ), source_id=367, reference_date=datetime.datetime(year=2020, month=7, day=16), size=100145874, md5sum="fb34325ec9262adc74c945a9e7c9b465", ) ] assert stack == expected_stack assert leaf_nodes == expected_leaf_nodes # Cleanup - none def test_initialisation_of_search_from_instrument_url_and_not_matching_source_id( self, mocked_datavault_api_instrument_level, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list/2020/07/16/S367/WATCHLIST" credentials = ("username", "password") source_id = 945 # Exercise stack, leaf_nodes = crawler.initialise_search(url, credentials, session, source_id) # Verify assert stack == [] assert leaf_nodes == [] # Cleanup - none def test_initialisation_of_search_from_instrument_url_and_matching_source_id( self, mocked_datavault_api_instrument_level, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list/2020/07/16/S367/WATCHLIST" credentials = ("username", "password") source_id = 367 # Exercise stack, leaf_nodes = crawler.initialise_search(url, credentials, session, source_id) # Verify assert stack == [] assert leaf_nodes == [ DiscoveredFileInfo( file_name="WATCHLIST_367_20200716.txt.bz2", download_url=( "https://api.icedatavault.icedataservices.com/v2/data/2020/07/16/S367/" "WATCHLIST/20200716-S367_WATCHLIST_username_0_0" ), source_id=367, reference_date=datetime.datetime(year=2020, month=7, day=16), size=100145874, md5sum="fb34325ec9262adc74c945a9e7c9b465", ) ] # Cleanup - none def test_initialisation_of_search_from_top_level( self, mocked_top_level_datavault_api, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") # Exercise stack, leaf_nodes = crawler.initialise_search(url, credentials, session) # Verify expected_stack = [ { 'name': '2020', 'parent': '/v2/list', 'url': '/v2/list/2020', 'size': 0, 'createdAt': '2020-01-01T00:00:00', 'updatedAt': '2020-12-01T00:00:00', 'writable': False, 'directory': True }, ] expected_leaf_nodes = [] assert stack == expected_stack assert leaf_nodes == expected_leaf_nodes def test_initialisation_behaviour_with_error_code( self, mocked_top_level_datavault_api_failed_request, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") # Exercise with pytest.raises(requests.exceptions.HTTPError): crawler.initialise_search(url, credentials, session) class TestCreateNodeUrl: def test_creation_of_node_url(self): # Setup url_path = "v2/list/2020/11/30/S945" # Exercise node_url = crawler.create_node_url(url_path) # Verify expected_url = "https://api.icedatavault.icedataservices.com/v2/list/2020/11/30/S945" assert node_url == expected_url # Cleanup - none class TestTraverseApiDirectoryTree: def test_traversal_of_api_directory_tree( self, mocked_datavault_api_single_source_single_day, mocked_files_available_to_download_single_source_single_day, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") leaf_nodes = [] # Exercise discovered_files = crawler.traverse_api_directory_tree( session, credentials, session.get(url).json(), leaf_nodes ) # Verify expected_files = mocked_files_available_to_download_single_source_single_day assert ( discovered_files.sort(key=lambda x: x.file_name) == expected_files.sort(key=lambda x: x.file_name) ) # Cleanup - none def test_traversal_of_api_directory_tree_with_not_matching_source_id( self, mocked_datavault_api_single_source_single_day, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") leaf_nodes = [] source_id = 673 # Exercise discovered_files = crawler.traverse_api_directory_tree( session, credentials, session.get(url).json(), leaf_nodes, source_id ) # Verify assert discovered_files == [] # Cleanup - none def test_traversal_of_api_directory_tree_with_matching_source_id( self, mocked_datavault_api_multiple_sources_single_day, mocked_files_available_to_download_multiple_sources_single_day, ): # Setup session = requests.Session() url = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") leaf_nodes = [] source_id = 367 # Exercise discovered_files = crawler.traverse_api_directory_tree( session, credentials, session.get(url).json(), leaf_nodes, source_id ) discovered_files.sort(key=lambda x: x.file_name) # Verify expected_files = [ file for file in mocked_files_available_to_download_multiple_sources_single_day if file.source_id == int(source_id) ] expected_files.sort(key=lambda x: x.file_name) assert discovered_files == expected_files # Cleanup - none def test_traversal_of_api_directory_tree_with_empty_stack( self ): # Setup session = requests.Session() credentials = ("username", "password") stack = [] leaf_nodes = [] # Exercise discovered_files = crawler.traverse_api_directory_tree( session, credentials, stack, leaf_nodes ) # Verify # expected_files = [ # file for file in mocked_set_of_files_available_to_download_multiple_sources_single_day # if file.source == source_id # ] assert discovered_files == [] # Cleanup - none def test_traversal_of_api_directory_tree_with_failed_request_down_the_line( self, mocked_datavault_api_with_down_the_line_failed_request, ): # Setup session = requests.Session() credentials = ("username", "password") stack = [ { 'name': '2020', 'parent': '/v2/list', 'url': '/v2/list/2020', 'size': 0, 'createdAt': '2020-01-01T00:00:00', 'updatedAt': '2020-12-02T00:00:00', 'writable': False, 'directory': True, }, ] leaf_nodes = [] # Exercise # Verify with pytest.raises(requests.exceptions.HTTPError): crawler.traverse_api_directory_tree(session, credentials, stack, leaf_nodes) # Cleanup - none def test_traversal_of_api_directory_with_repeated_node_in_stack( self, mocked_datavault_api_with_repeated_node ): # Setup session = requests.Session() credentials = ("username", "password") stack = [ { 'name': '2020', 'parent': '/v2/list', 'url': '/v2/list/2020', 'size': 0, 'createdAt': '2020-01-01T00:00:00', 'updatedAt': '2020-12-02T00:00:00', 'writable': False, 'directory': True, }, ] leaf_nodes = [] # Exercise discovered_instruments = crawler.traverse_api_directory_tree( session, credentials, stack, leaf_nodes ) # Verify assert discovered_instruments == [ DiscoveredFileInfo( file_name='COREREF_945_20201201.txt.bz2', download_url=( "https://api.icedatavault.icedataservices.com/v2/data/2020/12/01/S945/CORE/" "20201201-S945_CORE_ALL_0_0" ), source_id=945, reference_date=datetime.datetime(year=2020, month=12, day=1), size=15680, md5sum='c9cc20020def775933be0be9690a9b5a', ) ] # Cleanup - none class TestDatavaultCrawl: def test_crawler_with_instrument_level_url( self, mocked_datavault_api_instrument_level, mocked_files_available_to_download_single_instrument, ): # Setup url_to_crawl = ( "https://api.icedatavault.icedataservices.com/v2/list/2020/07/16/S367/WATCHLIST" ) credentials = ("username", "password") # Exercise discovered_files = crawler.datavault_crawler(url_to_crawl, credentials) # Verify assert discovered_files == mocked_files_available_to_download_single_instrument # Cleanup - none def test_crawler_with_single_source_and_single_day_setup( self, mocked_datavault_api_single_source_single_day, mocked_files_available_to_download_single_source_single_day, ): # Setup url_to_crawl = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") # Exercise discovered_files = crawler.datavault_crawler(url_to_crawl, credentials) # Verify expected_files = mocked_files_available_to_download_single_source_single_day expected_files.sort(key=lambda x: x.file_name, reverse=True) assert discovered_files == expected_files # Cleanup - none def test_crawler_with_single_source_and_multiple_days_setup( self, mocked_datavault_api_single_source_multiple_days, mocked_files_available_to_download_single_source_multiple_days, ): # Setup url_to_crawl = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") # Exercise discovered_files = crawler.datavault_crawler(url_to_crawl, credentials) discovered_files.sort(key=lambda x: x.file_name) # Verify expected_files = mocked_files_available_to_download_single_source_multiple_days expected_files.sort(key=lambda x: x.file_name) assert discovered_files == expected_files # Cleanup - none def test_crawler_under_multiple_sources_and_single_day_scenario( self, mocked_datavault_api_multiple_sources_single_day, mocked_files_available_to_download_multiple_sources_single_day ): # Setup url_to_crawl = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") # Exercise discovered_files = crawler.datavault_crawler(url_to_crawl, credentials) discovered_files.sort(key=lambda x: x.file_name) # Verify expected_files = mocked_files_available_to_download_multiple_sources_single_day expected_files.sort(key=lambda x: x.file_name) assert discovered_files == expected_files # Cleanup - none def test_crawler_under_select_source_scenario( self, mocked_datavault_api_multiple_sources_single_day, mocked_files_available_to_download_multiple_sources_single_day, ): # Setup url_to_crawl = "https://api.icedatavault.icedataservices.com/v2/list" credentials = ("username", "password") # Exercise discovered_files = crawler.datavault_crawler(url_to_crawl, credentials, source_id=207) discovered_files.sort(key=lambda x: x.file_name) # Verify expected_files = [ file for file in mocked_files_available_to_download_multiple_sources_single_day if file.source_id == 207 ] expected_files.sort(key=lambda x: x.file_name) assert discovered_files == expected_files # Cleanup - none

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0.025714

0.185396

0.071349

0

0.065714

1

0.06

false

0.045714

0.014286

0

0.097143

0

null

0

1

0

1

0

null

0

5

057bdb050500b53da7e385ff2282c3ebb232fe64

121

py

Python

hcaptcha/__init__.py

yunusbyrak/py-hcaptcha

f429bfaba7619c2ac255ae101423d72c2866aa09

[ "MIT" ]

1

2022-01-09T23:49:03.000Z

hcaptcha/__init__.py

bryonpokemon/py-hcaptcha

92f723c8f5180d921731d7d04deb637099514a2e

[ "MIT" ]

null

hcaptcha/__init__.py

bryonpokemon/py-hcaptcha

92f723c8f5180d921731d7d04deb637099514a2e

[ "MIT" ]

1

2022-01-09T23:49:03.000Z

from .challenges import Challenge from .solvers import Solver from .agents import random_agent from .exceptions import *

24.2

33

0.826446

16

121

6.1875

0.625

0

0.132231

121

4

34

30.25

0.942857

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5567063c93ec8ddf93486996ed882ce5ca8b8b9d

206

py

Python

fauxblog/admin.py

nickobrad/faux

cecb03e97a176149606dc88373d1844fc1f6b23c

[ "MIT" ]

null

fauxblog/admin.py

nickobrad/faux

cecb03e97a176149606dc88373d1844fc1f6b23c

[ "MIT" ]

null

fauxblog/admin.py

nickobrad/faux

cecb03e97a176149606dc88373d1844fc1f6b23c

[ "MIT" ]

null

from django.contrib import admin from .models import Category, ImagePost, Location # Register your models here. admin.site.register(ImagePost) admin.site.register(Category) admin.site.register(Location)

20.6

49

0.81068

27

206

6.185185

0.481481

0.161677

0.305389

0

0.101942

206

9

50

22.888889

0.902703

0.126214

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

55a6a32920fa2fc82181f6e01d6935314fa6f974

137

py

Python

transiter_ny_mta/transiter_ny_mta/__init__.py

Pizza-Ratz/transiter-ny

40091d3ff0c1b9e046b0d3ca708acb81df5019c6

[ "MIT" ]

1

2021-01-25T16:02:14.000Z

transiter_ny_mta/transiter_ny_mta/__init__.py

Pizza-Ratz/transiter-ny

40091d3ff0c1b9e046b0d3ca708acb81df5019c6

[ "MIT" ]

null

transiter_ny_mta/transiter_ny_mta/__init__.py

Pizza-Ratz/transiter-ny

40091d3ff0c1b9e046b0d3ca708acb81df5019c6

[ "MIT" ]

1

2021-07-02T14:34:04.000Z

from .alertsparser import AlertsParser from .subwaytripsparser import SubwayTripsParser from .stationscsvparser import StationsCsvParser

34.25

48

0.890511

12

137

10.166667

0.416667

0

0.087591

137

3

49

45.666667

0.976

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

e9576153377cb8542e00446bc31a32f660d4a2a6

99

py

Python

examples/port_demo.py

smilelight/lightUtils

e9b7ed35ed50cf6b7c6284fe60918ce4dc71beac

[ "MIT" ]

2

2020-01-23T02:03:19.000Z

2020-12-13T09:05:45.000Z

examples/port_demo.py

smilelight/lightUtils

e9b7ed35ed50cf6b7c6284fe60918ce4dc71beac

[ "MIT" ]

null

examples/port_demo.py

smilelight/lightUtils

e9b7ed35ed50cf6b7c6284fe60918ce4dc71beac

[ "MIT" ]

null

from lightutils import get_free_tcp_port port = get_free_tcp_port() print(port) print(type(port))

16.5

40

0.808081

17

99

4.352941

0.529412

0.189189

0.27027

0.378378

0

0.10101

99

5

41

19.8

0.831461

0

1

0

false

0

0.25

0

0.25

0.5

1

0

null

0

1

0

1

0

null

0

1

0

5

e96d84302227c0aff1faeef0969afac44cd9a679

228

py

Python

sitator/visualization/__init__.py

lekah/sitator

0f9c84989758eb7b76be8104a94a8d6decd27b55

[ "MIT" ]

8

2018-10-05T18:02:24.000Z

2021-02-22T20:24:58.000Z

sitator/visualization/__init__.py

lekah/sitator

0f9c84989758eb7b76be8104a94a8d6decd27b55

[ "MIT" ]

6

2019-02-21T04:33:01.000Z

2021-01-06T20:05:25.000Z

sitator/visualization/__init__.py

lekah/sitator

0f9c84989758eb7b76be8104a94a8d6decd27b55

[ "MIT" ]

6

2018-08-11T21:43:59.000Z

2021-12-21T06:32:12.000Z

from .common import layers, grid, plotter, DEFAULT_COLORS, set_axes_equal from .atoms import plot_atoms, plot_points from .SiteNetworkPlotter import SiteNetworkPlotter from .SiteTrajectoryPlotter import SiteTrajectoryPlotter

28.5

73

0.855263

26

228

7.307692

0.615385

0

0.105263

228

7

74

32.571429

0.931373

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

759014d40b4767cde83fe06211c68c1440c3f6c4

14

py

Python

noop.py

OpenIotNetwork/echo-firmware

007ead22704231f320abdc1ce32430a6d69a57f7

[ "Apache-2.0" ]

1

2021-03-08T18:34:06.000Z

noop.py

OpenIotNetwork/echo-firmware

007ead22704231f320abdc1ce32430a6d69a57f7

[ "Apache-2.0" ]

null

noop.py

OpenIotNetwork/echo-firmware

007ead22704231f320abdc1ce32430a6d69a57f7

[ "Apache-2.0" ]

null

print("NOOP")

7

13

0.642857

2

14

4.5

1

0

0.071429

14

1

14

0.692308

0

0.285714

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

75903cb74255d9a040c92dad9af5ac01cf28b1cb

54

py

Python

srichand_cloudmesh_ex2.py

futuresystems/465-srijchand

f52127dfd2cefa7836e25b3ca8a4d81f8ec041ab

[ "Apache-2.0" ]

null

srichand_cloudmesh_ex2.py

futuresystems/465-srijchand

f52127dfd2cefa7836e25b3ca8a4d81f8ec041ab

[ "Apache-2.0" ]

null

srichand_cloudmesh_ex2.py

futuresystems/465-srijchand

f52127dfd2cefa7836e25b3ca8a4d81f8ec041ab

[ "Apache-2.0" ]

null

import cloudmesh print cloudmesh.shell("cloud list")

13.5

35

0.796296

7

54

6.142857

0.857143

0

0.111111

54

3

36

18

0.895833

0

0.188679

0

null

0

0.5

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

75b72dca2e43b5612d13506d6b92693bca1eea41

192

py

Python

1_Python/Aulas/Aula13a.py

guilhermebaos/Curso-em-Video-Python

0e67f6f59fa3216889bd2dde4a26b532c7c545fd

[ "MIT" ]

null

1_Python/Aulas/Aula13a.py

guilhermebaos/Curso-em-Video-Python

0e67f6f59fa3216889bd2dde4a26b532c7c545fd

[ "MIT" ]

null

1_Python/Aulas/Aula13a.py

guilhermebaos/Curso-em-Video-Python

0e67f6f59fa3216889bd2dde4a26b532c7c545fd

[ "MIT" ]

null

for a in range(0,6): print('Olá!', a) print('Parei. \n') for b in range(6, 0, -1): print('Olá1', b) print('Parei. \n') for c in range(0, 6, 2): print('Olá!', c) print('Parei. \n')

19.2

25

0.53125

38

192

2.684211

0.394737

0.205882

0.323529

0.176471

0

0.059211

0.208333

192

9

26

21.333333

0.611842

0

0.333333

0

0.203125

0

1

0

false

0

0.666667

0

null

1

0

1

0

null

0

1

0

5

75eea75e6047e89d14c6be50606878240e707caf

41

py

Python

tests/components/mqtt_json/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/mqtt_json/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

tests/components/mqtt_json/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Tests for the mqtt_json component."""

20.5

40

0.707317

6

41

4.666667

1

0

0.121951

41

1

41

0.777778

0.829268

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

75efc068bea2e00c99851509afc17f84c017599e

123

py

Python

src/compiler/handler.py

neolang/neopy

92f328ed6c2f3c40ec04b889477aa8fe916711f1

[ "MIT" ]

1

2018-11-18T08:01:28.000Z

src/compiler/handler.py

neolang/neopy

92f328ed6c2f3c40ec04b889477aa8fe916711f1

[ "MIT" ]

2

2018-11-18T08:02:07.000Z

2018-11-19T06:20:35.000Z

src/compiler/handler.py

neolang/neopy

92f328ed6c2f3c40ec04b889477aa8fe916711f1

[ "MIT" ]

null

def compile_files(fp_list): for fp in fp_list: __compile_file(fp) def __compile_file(file_pointer): pass

15.375

33

0.699187

19

123

4

0.526316

0.263158

0

0.227642

123

7

34

17.571429

0.8

0

1

0.4

false

0.2

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

75f7e09f370f1d9746b214f2177f7c3fe2f5c339

81

py

Python

coreapi/models/__init__.py

recentfahim/smartbusinessbd

61a74ae629f2c6e2317c41da23476c8780446e84

[ "Apache-2.0" ]

null

coreapi/models/__init__.py

recentfahim/smartbusinessbd

61a74ae629f2c6e2317c41da23476c8780446e84

[ "Apache-2.0" ]

null

coreapi/models/__init__.py

recentfahim/smartbusinessbd

61a74ae629f2c6e2317c41da23476c8780446e84

[ "Apache-2.0" ]

null

from .city import City from .company import Company from .country import Country

20.25

28

0.814815

12

81

5.5

0.416667

0

0.148148

81

3

29

27

0.956522

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f9466d3c2d2932494116e2cb70d044cef50ea795

266

py

Python

pollbot/helper/display/management.py

3wille/ultimate-poll-bot

7a99659df463a891b20a1ab424665cd84d4242b4

[ "MIT" ]

null

pollbot/helper/display/management.py

3wille/ultimate-poll-bot

7a99659df463a891b20a1ab424665cd84d4242b4

[ "MIT" ]

null

pollbot/helper/display/management.py

3wille/ultimate-poll-bot

7a99659df463a891b20a1ab424665cd84d4242b4

[ "MIT" ]

null

"""The poll management text.""" from .poll import get_poll_text def get_poll_management_text(session, poll, show_warning=False): """Create the management interface for a poll.""" poll_text = get_poll_text(session, poll, show_warning) return poll_text

26.6

64

0.74812

39

266

4.820513

0.435897

0.170213

0.191489

0.202128

0.276596

0

0.154135

266

9

65

29.555556

0.835556

0.259399

0

1

0.25

false

0

0.25

0

0.75

0

null

0

1

0

1

0

null

0

1

0

1

0

5

f9773a9cbbac8043bcf3bf565130d13c371454b2

96

py

Python

src/wavestate/iirrational/external/tabulate/__init__.py

wavestate/wavestate-iirrational

01d6dba8b2131fa2a099a74f17e6540f30cee606

[ "Apache-2.0" ]

null

src/wavestate/iirrational/external/tabulate/__init__.py

wavestate/wavestate-iirrational

01d6dba8b2131fa2a099a74f17e6540f30cee606

[ "Apache-2.0" ]

null

src/wavestate/iirrational/external/tabulate/__init__.py

wavestate/wavestate-iirrational

01d6dba8b2131fa2a099a74f17e6540f30cee606

[ "Apache-2.0" ]

null

""" External libraries packaged with for version stability """ from .tabulate import tabulate

13.714286

54

0.770833

11

96

6.727273

0.909091

0

0.15625

96

6

55

16

0.91358

0.5625

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f9850dd79a394638d5a5c2e62aadd31fb4c2407b

96

py

Python

venv/lib/python3.8/site-packages/poetry/core/_vendor/packaging/tags.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/poetry/core/_vendor/packaging/tags.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/poetry/core/_vendor/packaging/tags.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/68/e2/05/188e3a14bbe42690f0cbce7c7c576b1dbc9d3d1bb571a2d3908f144cea

96

0.895833

9

96

9.555556

1

0

0.385417

0

96

1

96

0.510417

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

null

1

0

1

0

5

f9ae44085aad4c16f6592f43de3a099254f05d59

47

py

Python

conjur/util/__init__.py

mbjahnoon/conjur-api-python3

ec1f62bb1baf2bdcd34d2fb92c97db724f761020

[ "Apache-2.0" ]

16

2019-05-17T15:34:59.000Z

2021-11-08T10:30:21.000Z

conjur/util/__init__.py

mbjahnoon/conjur-api-python3

ec1f62bb1baf2bdcd34d2fb92c97db724f761020

[ "Apache-2.0" ]

301

2019-05-07T18:27:10.000Z

2022-01-26T13:03:49.000Z

conjur/util/__init__.py

cyberark/cyberark-conjur-cli

2507e8769808643d89efa7e2496cfc14f505bd7e

[ "Apache-2.0" ]

10

2019-07-30T17:00:13.000Z

2022-01-20T17:00:34.000Z

""" util This package is for util modules """

7.833333

32

0.659574

7

47

4.428571

0.857143

0

0.212766

47

5

33

9.4

0.837838

0.808511

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

f9ba31abc310c48d834cebff8aeef25ad2407242

138

py

Python

project_data_app/urls.py

chrisba11/kickstarter_projects

08a341d01428d20c384546773a853fc7d99a6140

[ "MIT" ]

null

project_data_app/urls.py

chrisba11/kickstarter_projects

08a341d01428d20c384546773a853fc7d99a6140

[ "MIT" ]

null

project_data_app/urls.py

chrisba11/kickstarter_projects

08a341d01428d20c384546773a853fc7d99a6140

[ "MIT" ]

null

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

23

53

0.753623

19

138

5.210526

0.578947

0.333333

0.30303

0

0.137681

138

6

54

23

0.831933

0

0.086331

0

1

0

false

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

5

f9dab830b35494d6660350f19bc8089f5510126e

116

py

Python

test/__init__.py

elagheb/at_commands

51f1fa553b651b639aa3d1e1b3ac4ff07322f7a0

[ "BSD-2-Clause" ]

null

test/__init__.py

elagheb/at_commands

51f1fa553b651b639aa3d1e1b3ac4ff07322f7a0

[ "BSD-2-Clause" ]

null

test/__init__.py

elagheb/at_commands

51f1fa553b651b639aa3d1e1b3ac4ff07322f7a0

[ "BSD-2-Clause" ]

null

import unittest import unittest.mock as mock from unittest.mock import patch __all__ = ['unittest','mock','patch']

19.333333

37

0.767241

16

116

5.3125

0.4375

0.423529

0

0.12069

116

5

38

23.2

0.833333

0

0.146552

0

1

0

false

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ddc806857072eff9c83a07e28e06781742f5341f

1,304

py

Python

leds/rgbLed.py

JDRyder/stardust

a1b1de99e7d10c18f7243217a72aa5e7a3566e74

[ "MIT" ]

null

leds/rgbLed.py

JDRyder/stardust

a1b1de99e7d10c18f7243217a72aa5e7a3566e74

[ "MIT" ]

null

leds/rgbLed.py

JDRyder/stardust

a1b1de99e7d10c18f7243217a72aa5e7a3566e74

[ "MIT" ]

null

import board import neopixel import time pixels = neopixel.NeoPixel(board.D21, 1) GREEN = (255, 0, 0) # RED = (0,255,0) # BLUE = (0,0,255) # YELLOW = (255,255,0) # CYAN = (255,0,255) # VIOLET = (0,127,255) # WHITE = (255,255,255) # OFF = (0,0,0) # def off(): pixels[0] = OFF def startup(): pixels[0] = GREEN time.sleep(1) pixels[0] = RED time.sleep(1) pixels[0] = BLUE time.sleep(1) pixels[0] = YELLOW time.sleep(1) pixels[0] = CYAN time.sleep(1) pixels[0] = VIOLET time.sleep(1) pixels[0] = WHITE time.sleep(1) pixels[0] = OFF def statusOk(): pixels[0] = GREEN time.sleep(0.5) pixels[0] = OFF time.sleep(0.5) pixels[0] = GREEN time.sleep(0.5) pixels[0] = OFF time.sleep(0.5) def bmpError(): pixels[0] = BLUE time.sleep(1) pixels[0] = OFF time.sleep(1) pixels[0] = BLUE time.sleep(1) pixels[0] = OFF time.sleep(1) def vemlError(): pixels[0] = YELLOW time.sleep(1) pixels[0] = OFF time.sleep(1) pixels[0] = YELLOW time.sleep(1) pixels[0] = OFF time.sleep(1) def samError(): pixels[0] = RED time.sleep(1) pixels[0] = OFF time.sleep(1) pixels[0] = RED time.sleep(1) pixels[0] = OFF time.sleep(1) def scd30Error(): pixels[0] = CYAN time.sleep(1) pixels[0] = OFF time.sleep(1) pixels[0] = CYAN time.sleep(1) pixels[0] = OFF time.sleep(1)

15.162791

40

0.624233

230

1,304

3.53913

0.117391

0.249386

0.282555

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0.710074

0.674447

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85

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15.341176

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0.72

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1

0

1

0

1

0

null

0

5

ddd0c824e4d2d1eee0fd05d787911e01b80ce07a

53

py

Python

Week1/sumofdigits_teacher.py

CrazyDi/Python1

016dd77ace04fccfec61edf37ec5a990ead6c4ef

[ "Unlicense" ]

null

Week1/sumofdigits_teacher.py

CrazyDi/Python1

016dd77ace04fccfec61edf37ec5a990ead6c4ef

[ "Unlicense" ]

null

Week1/sumofdigits_teacher.py

CrazyDi/Python1

016dd77ace04fccfec61edf37ec5a990ead6c4ef

[ "Unlicense" ]

null

import sys print(sum([int(x) for x in sys.argv[1]]))

17.666667

41

0.660377

12

53

2.916667

0.833333

0

0.021739

0.132075

53

3

41

17.666667

0.73913

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

fb07a1b009f2ec4dd007b6d28b15a16a4abfeb17

29

py

Python

python/callback/func/func.py

qingkaikong/useful_script

2547931dd11dbff7438e323ff4cd168427ff92ce

[ "BSD-3-Clause" ]

4

2016-03-16T17:06:42.000Z

2021-07-26T15:43:42.000Z

python/callback/func/func.py

qingkaikong/useful_script

2547931dd11dbff7438e323ff4cd168427ff92ce

[ "BSD-3-Clause" ]

null

python/callback/func/func.py

qingkaikong/useful_script

2547931dd11dbff7438e323ff4cd168427ff92ce

[ "BSD-3-Clause" ]

3

2015-12-01T20:38:19.000Z

2020-12-15T20:10:34.000Z

def test(a, b): print b()

14.5

15

0.517241

6

29

2.5

0.833333

0

0.275862

29

2

16

14.5

0.714286

0

null

0

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

fb1c201f8580630fba487344ba7ea5b8003a9260

111

py

Python

projectdjangoportfolio/jobs/admin.py

DevLuDaley/Portfolio

c7215a3b1e5337f9bbb2863bba598b3064ef69e5

[ "MIT" ]

null

projectdjangoportfolio/jobs/admin.py

DevLuDaley/Portfolio

c7215a3b1e5337f9bbb2863bba598b3064ef69e5

[ "MIT" ]

null

projectdjangoportfolio/jobs/admin.py

DevLuDaley/Portfolio

c7215a3b1e5337f9bbb2863bba598b3064ef69e5

[ "MIT" ]

null

from django.contrib import admin from.models import Job admin.site.register(Job) # Register your models here.

18.5

32

0.801802

17

111

5.235294

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0.126126

111

5

33

22.2

0.917526

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1

0

true

0

0.666667

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null

0

1

0

1

0

1

0

5

34a3b4a7e1966e32d27cb46659df093776257437

69

py

Python

omnia_timeseries/__init__.py

equinor/omnia-timeseries-python

02cb4fe5eef3703725cb16f1a3d2c7094b3d623d

[ "MIT" ]

5

2021-06-18T10:09:09.000Z

2022-03-04T13:14:57.000Z

omnia_timeseries/__init__.py

equinor/omnia-timeseries-python

02cb4fe5eef3703725cb16f1a3d2c7094b3d623d

[ "MIT" ]

3

2021-05-27T08:49:10.000Z

2021-11-12T11:17:21.000Z

omnia_timeseries/__init__.py

equinor/omnia-timeseries-python

02cb4fe5eef3703725cb16f1a3d2c7094b3d623d

[ "MIT" ]

1

2021-10-06T09:39:08.000Z

from omnia_timeseries.api import TimeseriesAPI, TimeseriesEnvironment

69

0.913043

7

69

8.857143

1

0

0.057971

69

1

69

0.953846

0

1

0

true

0

1

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1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

34aad533350d28ac32ca85f8601235b5751af580

283

py

Python

Mundo 3/Aula 16 - Tuplas/Ex074 - Maior e menor valor com tupla.py

Ruben-974/Exercicios-Python

11fc5c7c64c1b5e5f54f59821847987d4878764c

[ "MIT" ]

null

Mundo 3/Aula 16 - Tuplas/Ex074 - Maior e menor valor com tupla.py

Ruben-974/Exercicios-Python

11fc5c7c64c1b5e5f54f59821847987d4878764c

[ "MIT" ]

null

Mundo 3/Aula 16 - Tuplas/Ex074 - Maior e menor valor com tupla.py

Ruben-974/Exercicios-Python

11fc5c7c64c1b5e5f54f59821847987d4878764c

[ "MIT" ]

null

from random import randint n = (randint(1, 9), randint(1, 9), randint(1, 9), randint(1, 9), randint(1, 9)) print('Os números sorteados foram: ', end='') for c in n: print(c, end=' ') print(f'\nO maior valor sorteado foi: {max(n)}') print(f'O menor valor sorteado foi: {min(n)}')

35.375

79

0.639576

51

283

3.54902

0.509804

0.220994

0.248619

0.353591

0.248619

0

0.042017

0.159011

283

7

80

40.428571

0.718487

0

0.363958

0

1

0

false

0

0.142857

0

0.142857

0.571429

0

null

1

0

1

0

null

0

1

0

5

34b0627ddf54dc4030ea1fef447d1fe5ea946c8c

297

py

Python

moviepy/video/fx/all/__init__.py

odidev/moviepy

b19a690fe81b17fa582622d1c0ebe73e4e6380e7

[ "MIT" ]

8,558

2015-01-03T05:14:12.000Z

2022-03-31T21:45:38.000Z

moviepy/video/fx/all/__init__.py

odidev/moviepy

b19a690fe81b17fa582622d1c0ebe73e4e6380e7

[ "MIT" ]

1,592

2015-01-02T22:12:54.000Z

2022-03-30T13:10:40.000Z

moviepy/video/fx/all/__init__.py

odidev/moviepy

b19a690fe81b17fa582622d1c0ebe73e4e6380e7

[ "MIT" ]

1,332

2015-01-02T18:01:53.000Z

2022-03-31T22:47:28.000Z

""" moviepy.video.fx.all is deprecated. Use the fx method directly from the clip instance (e.g. ``clip.resize(...)``) or import the function from moviepy.video.fx instead. """ import warnings from moviepy.video.fx import * # noqa F401,F403 warnings.warn(f"\nMoviePy: {__doc__}", UserWarning)

22.846154

77

0.723906

44

297

4.795455

0.659091

0.170616

0.199052

0.170616

0

0.023346

0.13468

297

12

78

24.75

0.797665

0.619529

0

0.190476

0

1

0

true

0

0.666667

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

5

34b2720c17b7d23f1bc3687785eec5b224b79560

109

py

Python

hello_world.py

TruthLacksLyricism/learning-python

7a279ad0698860b612fc6b76ff99c81acd29d31b

[ "MIT" ]

null

hello_world.py

TruthLacksLyricism/learning-python

7a279ad0698860b612fc6b76ff99c81acd29d31b

[ "MIT" ]

null

hello_world.py

TruthLacksLyricism/learning-python

7a279ad0698860b612fc6b76ff99c81acd29d31b

[ "MIT" ]

null

print "This line will be printed." x = "rachel" if x == "rachel": print "Rachel" print "Hello, World!"

13.625

34

0.623853

16

109

4.25

0.6875

0.205882

0

0.220183

109

7

35

15.571429

0.8

0

0.522936

0

null

0

null

0.6

1

0

null

1

0

1

0

null

0

1

0

1

0

5

34c5294b5c38bdcb5b04e56497ca943887aae731

53

py

Python

gramex/apps/nlg/__init__.py

joshuamosesb/gramex

e416cb609698b5941a18b06743c853dee50e0500

[ "MIT" ]

1

2020-05-17T18:03:44.000Z

gramex/apps/nlg/__init__.py

joshuamosesb/gramex

e416cb609698b5941a18b06743c853dee50e0500

[ "MIT" ]

null

gramex/apps/nlg/__init__.py

joshuamosesb/gramex

e416cb609698b5941a18b06743c853dee50e0500

[ "MIT" ]

null

from .nlgsearch import templatize # NOQA: F401

26.5

52

0.698113

6

53

6.166667

1

0

0.075

0.245283

53

1

53

0.85

0.188679

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

34fa480bc9c2232054eb51335128e85dbc56e507

169

py

Python

mskit/metric/__init__.py

gureann/MSKit

8b360d38288100476740ad808e11b6c1b454dc2c

[ "MIT" ]

null

mskit/metric/__init__.py

gureann/MSKit

8b360d38288100476740ad808e11b6c1b454dc2c

[ "MIT" ]

null

mskit/metric/__init__.py

gureann/MSKit

8b360d38288100476740ad808e11b6c1b454dc2c

[ "MIT" ]

null

from . import similarity from .distance import frechet_dist from .similarity import pcc, sa from . import robust from .robust import iqr, cv, fwhm, count_missing_values

28.166667

55

0.804734

25

169

5.32

0.6

0.150376

0

0.142012

169

5

56

33.8

0.917241

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

34ff02f32b21e2a010eed7ca24f81bd53b637b63

73

py

Python

syft_tensorflow/serde/__init__.py

shubham3121/PySyft-TensorFlow

a8a6e47f206e324469dbeb995dc7117c09438ba0

[ "Apache-2.0" ]

39

2019-10-02T13:48:03.000Z

2022-01-22T21:18:43.000Z

syft_tensorflow/serde/__init__.py

shubham3121/PySyft-TensorFlow

a8a6e47f206e324469dbeb995dc7117c09438ba0

[ "Apache-2.0" ]

19

2019-10-10T22:04:47.000Z

2020-12-15T18:00:34.000Z

syft_tensorflow/serde/__init__.py

shubham3121/PySyft-TensorFlow

a8a6e47f206e324469dbeb995dc7117c09438ba0

[ "Apache-2.0" ]

12

2019-10-24T15:11:27.000Z

2022-03-25T09:03:52.000Z

from syft_tensorflow.serde.serde import MAP_TF_SIMPLIFIERS_AND_DETAILERS

36.5

72

0.917808

11

73

5.636364

0.909091

0

0.054795

73

1

73

0.898551

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

550d81bb5bc1c79a79d6bdfe74dcdeb0caf47b8e

6,269

py

Python

webui/forms/dag.py

blawson/dataforj

2b666f303b628ceced425e2bdb7f93ae2ccc2a73

[ "Apache-2.0" ]

1

2021-04-30T02:15:33.000Z

webui/forms/dag.py

blawson/dataforj

2b666f303b628ceced425e2bdb7f93ae2ccc2a73

[ "Apache-2.0" ]

null

webui/forms/dag.py

blawson/dataforj

2b666f303b628ceced425e2bdb7f93ae2ccc2a73

[ "Apache-2.0" ]

1

2021-04-30T03:27:20.000Z

from django import forms from crispy_forms.helper import FormHelper from crispy_forms.layout import Layout, Div, Submit, HTML, Button, Row, Field from crispy_forms.bootstrap import AppendedText, PrependedText, FormActions from webui.dataforj import get_flow class SelectedStepForm(forms.Form): step_name = forms.CharField(label='Step name', max_length=100) class AddSourceForm(forms.Form): step_name = forms.CharField(label='Step name', max_length=100) step_description = forms.CharField(label='Step description') uri = forms.CharField(label='URI, i.e. location of the source data') format_type = forms.CharField(label='Format of the data (e.g. CSV, Parquet, etc)') options_text = forms.CharField(widget=forms.Textarea, required=False, label='Options seperated by newlines in the form k=v, e.g. delimiter=True') helper = FormHelper() helper.form_class = 'form-horizontal' helper.layout = Layout( Field('step_name', css_class='input-xlarge'), Field('step_description', css_class='input-xlarge'), Field('uri', css_class='input-xlarge'), Field('format_type', css_class='input-xlarge'), Field('options_text', css_class='input-xlarge'), FormActions( Submit('new', 'Add Sournce', css_class="btn-primary") ) ) class AddChildForm(forms.Form): CHOICES=[ ('sql', 'SQL'), ('pyspark', 'PySpark'), ('union', 'Union'), ('sink', 'Sink') ] step_type = forms.ChoiceField(label='Choose the type of step you wish to create', choices=CHOICES, widget=forms.RadioSelect) helper = FormHelper() helper.form_class = 'form-horizontal' helper.layout = Layout( Field('step_type', css_class='input-xlarge') ) def create_dependson_tuple(flow): depends_on_list=[step.name for step in flow._steps.values() if step.dagre_type != 'Sink'] return tuple((name, name) for name in depends_on_list) class AddSinkForm(forms.Form): step_name = forms.CharField(label='Step name', max_length=100) step_description = forms.CharField(label='Step description') depends_ons = forms.ChoiceField(label='Which step should become input for this one', choices=[]) uri = forms.CharField(label='URI, i.e. location of the source data') format_type = forms.CharField(label='Format of the data (e.g. CSV, Parquet, etc)') mode = forms.CharField(label='Mode (e.g. overwrite)') options_text = forms.CharField(widget=forms.Textarea, label='Options seperated by newlines in the form k=v, e.g. delimiter=True', required=False) helper = FormHelper() helper.form_class = 'form-horizontal' helper.layout = Layout( Field('step_type', css_class='input-xlarge'), Field('step_name', css_class='input-xlarge'), Field('step_description', css_class='input-xlarge'), Field('depends_ons', rows="3", css_class='input-xlarge'), Field('uri', css_class='input-xlarge'), Field('format_type', css_class='input-xlarge'), Field('mode', css_class='input-xlarge'), Field('options_text', css_class='input-xlarge') ) def __init__(self, *args, **kwargs): flow = kwargs.pop('flow') super(AddSinkForm, self).__init__(*args, **kwargs) self.fields['depends_ons'].choices = create_dependson_tuple(flow) class AddUnionForm(forms.Form): step_name = forms.CharField(label='Step name', max_length=100) step_description = forms.CharField(label='Step description') depends_ons = forms.MultipleChoiceField(label='Which steps should become input for this one', choices=[]) helper = FormHelper() helper.form_class = 'form-horizontal' helper.layout = Layout( Field('step_type', css_class='input-xlarge'), Field('step_name', css_class='input-xlarge'), Field('step_description', css_class='input-xlarge'), Field('depends_ons', rows="3", css_class='input-xlarge') ) def __init__(self, *args, **kwargs): flow = kwargs.pop('flow') super(AddUnionForm, self).__init__(*args, **kwargs) self.fields['depends_ons'].choices = create_dependson_tuple(flow) class AddSqlForm(forms.Form): step_name = forms.CharField(label='Step name', max_length=100) step_description = forms.CharField(label='Step description') depends_ons = forms.MultipleChoiceField(label='Which steps should become input for this one', choices=[]) sql_file_path = forms.CharField(label='Location where the SQL code will be stored') helper = FormHelper() helper.form_class = 'form-horizontal' helper.layout = Layout( Field('step_type', css_class='input-xlarge'), Field('step_name', css_class='input-xlarge'), Field('step_description', css_class='input-xlarge'), Field('depends_ons', rows="3", css_class='input-xlarge'), Field('sql_file_path', css_class='input-xlarge') ) def __init__(self, *args, **kwargs): flow = kwargs.pop('flow') super(AddSqlForm, self).__init__(*args, **kwargs) self.fields['depends_ons'].choices = create_dependson_tuple(flow) class AddPySparkForm(forms.Form): step_name = forms.CharField(label='Step name', max_length=100) step_description = forms.CharField(label='Step description') depends_ons = forms.MultipleChoiceField(label='Which steps should become input for this one', choices=[]) pyspark_file_path = forms.CharField(label='Location where the PySpark code will be stored') helper = FormHelper() helper.form_class = 'form-horizontal' helper.layout = Layout( Field('step_type', css_class='input-xlarge'), Field('step_name', css_class='input-xlarge'), Field('step_description', css_class='input-xlarge'), Field('depends_ons', rows="3", css_class='input-xlarge'), Field('pyspark_file_path', css_class='input-xlarge') ) def __init__(self, *args, **kwargs): flow = kwargs.pop('flow') super(AddPySparkForm, self).__init__(*args, **kwargs) self.fields['depends_ons'].choices = create_dependson_tuple(flow)

40.445161

128

0.667092

776

6,269

5.198454

0.161082

0.057511

0.090233

0.131879

0.796232

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0.765245

0.743927

0

0.004369

0.196682

6,269

154

129

40.707792

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0

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0

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0.041322

false

0

0.041322

0

0.413223

0

null

0

1

0

null

0

5

9b37f557e5299f598ed6cf66a7877c41c10b6ac2

3,212

py

Python

src/endtype_controller/__init__.py

CadworkMontreal/CwAPI3D

5a2c15ad9f334d6dbfa55d59b6a855ac5667f289

[ "MIT" ]

null

src/endtype_controller/__init__.py

CadworkMontreal/CwAPI3D

5a2c15ad9f334d6dbfa55d59b6a855ac5667f289

[ "MIT" ]

null

src/endtype_controller/__init__.py

CadworkMontreal/CwAPI3D

5a2c15ad9f334d6dbfa55d59b6a855ac5667f289

[ "MIT" ]

null

from typing import List def create_new_endtype(endtype_name: str, endtype_id: int, folder_name: str) -> int: """Create a new endtype Args: endtype_name (str): name endtype_id (int): endtype id folder_name (str): folder name Returns: int: endtype id """ def get_endtype_id(name: str) -> int: """Gets the endtypeID by endtypename Args: name (str): endtype name Returns: int: endtype id """ def get_endtype_id_end(element_id: int) -> int: """Gets the endtypeID of the end face Args: arg0 (int): elmement ID Returns: int: endtype id """ def get_endtype_id_facet(element: int, face_number: int) -> int: """Gets the endtypeID of the face with a number Args: element (int): element ID face_number (int): face number Returns: int: endtype id """ def get_endtype_id_start(element: int) -> int: """Gets the endtypeID of the start face Args: element (int): element ID Returns: int: endtype id """ def get_endtype_name(endtype_id: int) -> str: """Get endtype name Args: endtype_id (int): endtype ID Returns: str: endtype name """ def get_endtype_name_end(element: int) -> str: """Get endtype name end Args: endtype_id (int): endtype ID Returns: str: endtype name """ def get_endtype_name_facet(element: int, face_number: int) -> str: """Gets the endtypename of the face with a number Args: element (int): element ID face_number (int): face number Returns: str: endtype name facet """ def get_endtype_name_start(element: int) -> str: """Gets the endtypename of the start face Args: element (int): element ID Returns: str: endtype name start """ def set_endtype_id_end(element: int, endtype_id: int) -> None: """Sets the endtype to end face by endtypeID Args: element (int): element ID endtype_id (int): endtype ID """ def set_endtype_id_facet(element: int, endtype_id: int, face_number: int) -> None: """Sets the endtype to a face by endtypeID Args: element (int): element ID endtype_id (int): endtype ID face_number (int): face number """ def set_endtype_id_start(element: int, endtype_id: int) -> None: """Sets the endtype to start face by endtypeID Args: element (int): element ID endtype_id (int): endtype ID """ def set_endtype_name_end(element: int, face_number: str) -> None: """Sets the endtype to end face by endtypename Args: element (int): element ID face_number (str): face number """ def set_endtype_name_facet(element: int, name: str, face_number: int) -> None: """Sets the endtype to a face by endtypename Args: element (int): element ID name (str): name face_number (int): face number """ def set_endtype_name_start(element: int, face_number: str) -> None: """Sets the endtype to start face by endtypename Args: element (int): element ID face_number (str): face number """

23.970149

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4.386207

0.082759

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0.110063

0.834382

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0.638889

0.528826

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3,212

134

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23.970149

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1

0

null

0

1

0

1

0

5

9b6a583e7f9d54f4d8150fa8893fc6c891b5dbd8

172

py

Python

falcon/core/events/handling/base_handler.py

jopereira/horus-tracer

03671206f02c5ebea18f5682b346f59884e0a538

[ "MIT" ]

21

2018-04-18T19:01:09.000Z

2021-11-24T19:22:33.000Z

falcon/core/events/handling/base_handler.py

jopereira/horus-tracer

03671206f02c5ebea18f5682b346f59884e0a538

[ "MIT" ]

29

2018-04-30T16:39:27.000Z

2021-04-03T16:04:19.000Z

falcon/core/events/handling/base_handler.py

jopereira/horus-tracer

03671206f02c5ebea18f5682b346f59884e0a538

[ "MIT" ]

7

2018-04-21T13:04:03.000Z

2021-03-07T08:24:26.000Z

class BaseHandler(object): def boot(self): pass def handle(self, cpu, data, size): raise NotImplementedError def shutdown(self): pass

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9b6ff38b27b5eaa149ea68c6674af0e96146a1de

28

py

Python

trump/extensions/source/tx-worldbankst/__init__.py

Equitable/trump

a2802692bc642fa32096374159eea7ceca2947b4

[ "BSD-3-Clause" ]

8

2015-03-14T13:09:46.000Z

2020-08-29T17:49:52.000Z

trump/extensions/source/tx-worldbankst/__init__.py

Equitable/trump

a2802692bc642fa32096374159eea7ceca2947b4

[ "BSD-3-Clause" ]

64

2015-03-14T12:14:17.000Z

2015-08-15T12:31:42.000Z

trump/extensions/source/tx-worldbankst/__init__.py

Equitable/trump

a2802692bc642fa32096374159eea7ceca2947b4

[ "BSD-3-Clause" ]

10

2015-03-14T12:18:02.000Z

2022-01-18T21:44:27.000Z

from worldbankstext import *

28

0.857143

3

28

8

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0.107143

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1

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0.96

0

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true

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0

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9b71684b4558f4e73ca309d8159aa55dc5c42ada

51

py

Python

storage/models/__init__.py

parveenchahal/python-common

4e5488615db3e0f8ba7f0bfeee87304a98fee2d5

[ "MIT" ]

null

storage/models/__init__.py

parveenchahal/python-common

4e5488615db3e0f8ba7f0bfeee87304a98fee2d5

[ "MIT" ]

null

storage/models/__init__.py

parveenchahal/python-common

4e5488615db3e0f8ba7f0bfeee87304a98fee2d5

[ "MIT" ]

null

from ._storage_entry_model import StorageEntryModel

51

0.921569

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1

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0.916667

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1

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5

9b79f3b170c6f1c8996ced8d0a625ff3c7e18cd9

4,856

py

Python

epytope/Data/pssms/arb/mat/B_5801_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/arb/mat/B_5801_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/arb/mat/B_5801_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

B_5801_9 = {0: {'A': -0.3411047643185575, 'C': 0.003633483019123024, 'E': -0.4818751780000427, 'D': -0.48635888961606405, 'G': -0.2552323225624609, 'F': -0.18023397304713804, 'I': 0.3607439895775445, 'H': 0.020686177466924322, 'K': 0.8273437122618179, 'M': 0.47430136579724197, 'L': 0.17966127012728303, 'N': -0.3291966962696378, 'Q': -0.21345233956382428, 'P': -0.5325369892850287, 'S': -0.16301393166900496, 'R': 0.027601955371264083, 'T': -0.18363093014019005, 'W': 0.10578368712358037, 'V': 0.052805213226038004, 'Y': -0.02429605455631148}, 1: {'A': 1.174860463273255, 'C': -0.2457666452096607, 'E': -0.5906915606703014, 'D': -0.548169630828652, 'G': 0.19969510117868258, 'F': -0.36554838520842226, 'I': -0.3276255291469775, 'H': -0.5376109875970715, 'K': -0.45690036967999276, 'M': -0.041595243905379574, 'L': -0.3505575547489804, 'N': -0.31767465208943557, 'Q': -0.3475029432425459, 'P': -0.5979633564295069, 'S': 1.2852802397755638, 'R': -0.534535428563245, 'T': 0.6447770595158945, 'W': -0.441133012859596, 'V': -0.1520364358887288, 'Y': -0.50951053028935}, 2: {'A': 0.2684471724541413, 'C': -0.22902610856967154, 'E': -0.43278624501578816, 'D': -0.06934855994261531, 'G': -0.06716035432846008, 'F': 0.10455873668111254, 'I': 0.1925134837370194, 'H': -0.23149990350621824, 'K': -0.46548913891902827, 'M': 0.3464088618155669, 'L': 0.18626735624915097, 'N': 0.38542411767568263, 'Q': -0.22383835157789417, 'P': -0.48532126156662114, 'S': 0.4532418271352197, 'R': -0.4544277107989695, 'T': 0.3260679087260621, 'W': 0.15010475497333664, 'V': 0.07161428162621108, 'Y': 0.017730490237516758}, 3: {'A': 0.37784956251501206, 'C': -0.4793875343459822, 'E': -0.08902382036802833, 'D': -0.20050905903977564, 'G': -0.06495306821998638, 'F': -0.0593473711437512, 'I': 0.09933541588624818, 'H': 0.03514885697831995, 'K': -0.06116699534123581, 'M': -0.040991791908567006, 'L': -0.0835037295409453, 'N': 0.004148481569409193, 'Q': 0.1711363775698798, 'P': 0.24374294428136922, 'S': 0.2637317211760683, 'R': -0.07428765491674041, 'T': -0.20527317097312292, 'W': -0.30252432168185744, 'V': 0.011206871127331007, 'Y': -0.12549661307016982}, 4: {'A': -0.0037956386025211923, 'C': 0.3425836755273221, 'E': 0.10837411544244627, 'D': -0.10977722569677738, 'G': -0.07429577634177878, 'F': -0.05545998502340835, 'I': 0.03806137859551105, 'H': -0.14042662908810716, 'K': -0.20302056052250367, 'M': 0.1420266411631764, 'L': -0.1064722376037199, 'N': -0.17401409416144922, 'Q': 0.11997316956010566, 'P': -0.04128125080580932, 'S': 0.19196080156121637, 'R': -0.3491766626926857, 'T': 0.48839925104094956, 'W': -0.1944017253597289, 'V': 0.3636334120779938, 'Y': 0.005288600613324553}, 5: {'A': 0.024240456081329534, 'C': -0.05403424525777517, 'E': -0.1372571018612249, 'D': 0.1998462489077772, 'G': 0.03626418238439089, 'F': -0.22385026969299843, 'I': -0.007118698099601649, 'H': 0.18750955312048573, 'K': -0.25639938785996624, 'M': -0.10761999816284834, 'L': -0.07945610243767709, 'N': -0.01336954634949329, 'Q': 0.03388141345430495, 'P': 0.3792426447667947, 'S': 0.14003490093027127, 'R': -0.35413455397288635, 'T': -0.040374278317003756, 'W': 0.17171048536053823, 'V': 0.0144078763897194, 'Y': 0.3456580758311246}, 6: {'A': -0.048764474656820316, 'C': 0.12527155006022642, 'E': 0.018375613094484246, 'D': -0.14355729462432953, 'G': -0.24198435176223246, 'F': 0.5050091762270842, 'I': -0.23409484528144958, 'H': 0.26461313711055967, 'K': -0.29103757239392125, 'M': 0.10614249980976018, 'L': 0.2980575675511649, 'N': -0.12749768289935284, 'Q': -0.05399490523715788, 'P': -0.04337669219017715, 'S': -0.14150596935678242, 'R': -0.3052744786829771, 'T': -0.016085631730931502, 'W': 0.40021875630643317, 'V': -0.12139104413894072, 'Y': 0.04764866712879748}, 7: {'A': -0.2887306170747365, 'C': -0.05546020707654955, 'E': 0.19614530507925096, 'D': -0.11508919814164928, 'G': -0.12096740474241689, 'F': 0.008661990458820913, 'I': 0.06185055066826462, 'H': 0.40470050115085127, 'K': -0.13793373991315833, 'M': -0.19958425618472464, 'L': 0.171498045363748, 'N': 0.09101485071050694, 'Q': 0.31543446904424916, 'P': -0.2442195336322221, 'S': 0.137140741872122, 'R': 0.10414695150169023, 'T': 0.1017840080220198, 'W': -0.10367157482864542, 'V': -0.04055738088903421, 'Y': 0.14643767030214036}, 8: {'A': -0.5774250143899277, 'C': -0.5489099143796122, 'E': -0.5419428470896012, 'D': -0.5395040580297729, 'G': -0.5145904975923917, 'F': 0.4800720103518297, 'I': -0.1826648609200773, 'H': -0.16754627174560963, 'K': -0.594895104992003, 'M': 0.019272566780701248, 'L': -0.43483232548876344, 'N': -0.44121647814689663, 'Q': -0.43432236841340954, 'P': -0.5419428470896012, 'S': -0.5417201571462467, 'R': -0.5221447856642065, 'T': -0.5509579040144501, 'W': 1.9927421718393323, 'V': -0.5507750466260991, 'Y': 0.1924242909646485}, -1: {'slope': 0.11072004198674867, 'intercept': -0.4166818572835276}}

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null

0

1

0

1

0

null

0

5

9b822cf2e09599ac604bde44effce84c6a2e3f54

54

py

Python

gr_module.py

GunarakulanGunaretnam/python-basic-fundamentals

c62bf939fbaef8895d28f85af9ef6ced70801f96

[ "Apache-2.0" ]

null

gr_module.py

GunarakulanGunaretnam/python-basic-fundamentals

c62bf939fbaef8895d28f85af9ef6ced70801f96

[ "Apache-2.0" ]

null

gr_module.py

GunarakulanGunaretnam/python-basic-fundamentals

c62bf939fbaef8895d28f85af9ef6ced70801f96

[ "Apache-2.0" ]

null

def print_name(): print("My name is Gunarakulan")

10.8

32

0.685185

8

54

4.5

0.75

0

0.185185

54

5

33

10.8

0.818182

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0

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0.5

true

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null

0

1

0

null

0

1

0

1

0

5

9ba95d022de0cbe77839799064d678253b042077

204

py

Python

tests/test_gluupostgres.py

danilosoarescardoso/cloud-native-edition

b8aa66119dc4440b1ca3741a4065c9ae7feb42fb

[ "Apache-2.0" ]

1

2021-04-04T04:25:49.000Z

tests/test_gluupostgres.py

danilosoarescardoso/cloud-native-edition

b8aa66119dc4440b1ca3741a4065c9ae7feb42fb

[ "Apache-2.0" ]

null

tests/test_gluupostgres.py

danilosoarescardoso/cloud-native-edition

b8aa66119dc4440b1ca3741a4065c9ae7feb42fb

[ "Apache-2.0" ]

null

import pygluu.kubernetes.postgres as module0 from pygluu.kubernetes.postgres import Postgres def test_base_exception(): try: var0 = module0.Postgres() except BaseException: pass

20.4

47

0.72549

23

204

6.347826

0.695652

0.219178

0.328767

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0.018634

0.210784

204

9

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22.666667

0.888199

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0.142857

false

0.142857

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1

0

null

1

0

1

0

null

0

1

0

5

9bbde6aa054a0343fb01e156fb53162fe6c254c5

96

py

Python

python/tests/test_linked_list.py

Leenhazaimeh/data-structures-and-algorithms

d55d55bf8c98e768cb929326b5ec8c18fb5c8384

[ "MIT" ]

null

python/tests/test_linked_list.py

Leenhazaimeh/data-structures-and-algorithms

d55d55bf8c98e768cb929326b5ec8c18fb5c8384

[ "MIT" ]

10

2021-07-29T18:56:48.000Z

2021-09-11T19:11:00.000Z

python/tests/test_linked_list.py

Leenhazaimeh/data-structures-and-algorithms

d55d55bf8c98e768cb929326b5ec8c18fb5c8384

[ "MIT" ]

3

2021-08-16T06:16:37.000Z

2021-12-05T14:29:51.000Z

# from linked_list.linked_list import LinkedList # def test_import(): # assert LinkedList

16

48

0.75

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5.75

0.666667

0.289855

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0.177083

96

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null

0

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5

32f125ad1d76b4e0fde9ddfeb972aeb7353e40c7

42

py

Python

downloads.py

Jamal135/fine-grained-sentiment-app

4754cefd77ccfa99b15a7721c3471aeacec650c9

[ "MIT" ]

null

downloads.py

Jamal135/fine-grained-sentiment-app

4754cefd77ccfa99b15a7721c3471aeacec650c9

[ "MIT" ]

null

downloads.py

Jamal135/fine-grained-sentiment-app

4754cefd77ccfa99b15a7721c3471aeacec650c9

[ "MIT" ]

null

import nltk nltk.download('vader_lexicon')

21

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0.833333

6

42

5.666667

0.833333

0

0.047619

42

2

30

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1

0

null

0

1

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1

0

5

fd00768ed39187f9b978abbf6c4d123c662329a9

121

py

Python

fuzzer/fuzzing_strategies/base_strategy/base_strategy.py

Dyfox100/Libstemmer_Fuzzer

263d6e64e007116a348d994851aa05e4c0c35358

[ "MIT" ]

null

fuzzer/fuzzing_strategies/base_strategy/base_strategy.py

Dyfox100/Libstemmer_Fuzzer

263d6e64e007116a348d994851aa05e4c0c35358

[ "MIT" ]

null

fuzzer/fuzzing_strategies/base_strategy/base_strategy.py

Dyfox100/Libstemmer_Fuzzer

263d6e64e007116a348d994851aa05e4c0c35358

[ "MIT" ]

null

import abc class Abstract_Strategy(metaclass=abc.ABCMeta): @abc.abstractmethod def generate(self): pass

17.285714

47

0.710744

14

121

6.071429

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20.166667

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null

0

1

0

1

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5

fd0f8e0645346f82a2ff9bdf244ca7d9bf72405b

186

py

Python

xauto/common/futils.py

sababa11/xauto

107e59344b4624941387a4dff0d439719075ebf4

[ "Apache-2.0" ]

null

xauto/common/futils.py

sababa11/xauto

107e59344b4624941387a4dff0d439719075ebf4

[ "Apache-2.0" ]

null

xauto/common/futils.py

sababa11/xauto

107e59344b4624941387a4dff0d439719075ebf4

[ "Apache-2.0" ]

null

import os import sys def get_workdir(): """ get_workdir() -> workdir: [str] Returns the current workdir. """ return os.path.realpath(os.path.dirname(sys.argv[0]))

15.5

57

0.629032

25

186

4.6

0.64

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0.006897

0.22043

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5

fd57c568a71d49ca653bf0ce40af26241330267b

190

py

Python

geosolver/text/generate_rules.py

mhrmm/geosolver

13ae2972c58d5ba4c4878576f9fba8569cc99629

[ "Apache-2.0" ]

83

2015-09-14T13:50:42.000Z

2022-03-12T10:24:38.000Z

geosolver/text/generate_rules.py

nehamjadhav/geosolver

13ae2972c58d5ba4c4878576f9fba8569cc99629

[ "Apache-2.0" ]

8

2021-07-21T09:55:42.000Z

2022-02-15T02:31:47.000Z

geosolver/text/generate_rules.py

nehamjadhav/geosolver

13ae2972c58d5ba4c4878576f9fba8569cc99629

[ "Apache-2.0" ]

33

2015-06-16T18:52:43.000Z

2021-12-16T08:58:27.000Z

from geosolver.ontology.ontology_definitions import FunctionSignature, signatures from geosolver.text.rule import TagRule from geosolver.utils.num import is_number __author__ = 'minjoon'

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5

b5e65e7ea71fdd5c4688f420edd49d985bd3eb75

89

py

Python

coding/calculate-5-6/code.py

mowshon/python-quiz

215fb23dbb0fa42b438f988e49172b87b48bade3

[ "MIT" ]

2

2020-07-17T21:08:26.000Z

2020-08-16T03:12:07.000Z

coding/calculate-5-6/code.py

mowshon/python-quiz

215fb23dbb0fa42b438f988e49172b87b48bade3

[ "MIT" ]

2

2021-06-08T22:04:35.000Z

2022-01-13T03:03:32.000Z

coding/calculate-5-6/code.py

mowshon/python-quiz

215fb23dbb0fa42b438f988e49172b87b48bade3

[ "MIT" ]

null

def calculate(num1, num2=4): res = num1 * num2 print(res) print(calculate(5, 6))

17.8

28

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4

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b5ea159a84e98d9a3984e6fe5b31678efa676891

143

py

Python

References/Geovana Neves/TCC_Geovana_Neves_GitHub/SUAVE_modifications/SUAVE-feature-constant_throttle_EAS/trunk/SUAVE/Analyses/Results.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

References/Geovana Neves/TCC_Geovana_Neves_GitHub/SUAVE_modifications/SUAVE-feature-constant_throttle_EAS/trunk/SUAVE/Analyses/Results.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

References/Geovana Neves/TCC_Geovana_Neves_GitHub/SUAVE_modifications/SUAVE-feature-constant_throttle_EAS/trunk/SUAVE/Analyses/Results.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

# Results.py # # Created: Jan 2015, T. Lukacyzk # Modified: Feb 2016, T. MacDonald from SUAVE.Core import Data class Results(Data): pass

15.888889

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Python

Testing/test_StableMotifs.py

jcrozum/StableMotifs

8a9d640d3e8b074e0f05e9b45b8ef8bef8d8b5c7

[ "MIT" ]

9

2020-04-03T14:18:06.000Z

2021-05-18T12:08:20.000Z

Testing/test_StableMotifs.py

jcrozum/StableMotifs

8a9d640d3e8b074e0f05e9b45b8ef8bef8d8b5c7

[ "MIT" ]

30

2020-04-06T16:08:45.000Z

2021-06-14T15:15:41.000Z

Testing/test_StableMotifs.py

jcrozum/StableMotifs

8a9d640d3e8b074e0f05e9b45b8ef8bef8d8b5c7

[ "MIT" ]

2

2021-01-14T15:21:51.000Z

2021-05-18T12:04:17.000Z

import sys sys.path.append('../') import unittest import sys sys.path.insert(0,"C:/Users/jcroz/github/StableMotifs") import pystablemotifs as sm import pyboolnet.file_exchange class test_StableMotifs(unittest.TestCase): rules='''A*=B B*=A C*=A or not D D*=C E*=B and F F*=E ''' rules_pbn = sm.format.booleannet2bnet(rules) primes = pyboolnet.file_exchange.bnet2primes(rules_pbn) ar = sm.AttractorRepertoire.from_primes(primes) diag = ar.succession_diagram def test_nr_of_attractors(self): self.assertEqual(len(self.ar.attractors),3) def test_booleannet2bnet(self): self.assertEqual(self.rules_pbn, 'A,\tB\nB,\tA\nC,\tA | !D\nD,\tC\nE,\tB & F\nF,\tE\n') def test_attractor_fixed_nodes_list(self): self.assertDictEqual(self.ar.attractors[0].logically_fixed_nodes, {'A': 0, 'B': 0, 'E': 0, 'F': 0}) self.assertDictEqual(self.ar.attractors[1].logically_fixed_nodes, {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 1, 'F': 1}) self.assertDictEqual(self.ar.attractors[2].logically_fixed_nodes, {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 0, 'F': 0}) def test_motif_reduction_dict(self): motif_history_list=[i.motif_history for i in self.diag.motif_reduction_dict.values()] validation_motif_history_list=[[],[{'A': 0, 'B': 0}], [{'A': 1, 'B': 1}], [{'A': 1, 'B': 1}, {'E': 1, 'F': 1}], [{'A': 1, 'B': 1}, {'E': 0, 'F': 0}], [{'E': 0, 'F': 0}], [{'E': 0, 'F': 0}, {'A': 0, 'B': 0}]] self.assertListEqual(motif_history_list,validation_motif_history_list) def test_AttractorRepertoire_attractor_states(self): max_simulate_size=20 ar = sm.AttractorRepertoire.from_primes(self.primes, max_simulate_size=max_simulate_size) attractors_dict_list=[] for a in ar.attractors: attractors_dict_list.append(a.attractor_dict) self.assertListEqual(attractors_dict_list, [{'A': 0, 'B': 0, 'C': 'X', 'D': 'X', 'E': 0, 'F': 0}, {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 1, 'F': 1}, {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 0, 'F': 0}]) #"pathological" example with a complex attractor on a "ghost" branch rules_pathological='''xA*= not xA and not xB or xC xB*= not xA and not xB or xC xC*= xA and xB''' rules_pbn_pathological = sm.format.booleannet2bnet(rules_pathological) primes_pathological = pyboolnet.file_exchange.bnet2primes(rules_pbn_pathological) ar_pathological = sm.AttractorRepertoire.from_primes(primes_pathological) diag_pathological = ar_pathological.succession_diagram def test_ghost_branch(self): ''' High level test of the correct identification of attractors that are not preceded by stable motif lockins. (ghost_branch is not a function in the module) ''' self.assertSetEqual(set(self.ar_pathological.attractors[0].stg.nodes()),set(['000', '010', '100'])) self.assertDictEqual(self.ar_pathological.attractors[1].logically_fixed_nodes,{'xA': 1, 'xB': 1, 'xC': 1}) # self.assertListEqual(self.diag_pathological.reduced_complex_attractor_list,[[{'000', '010', '100'}], None]) # self.assertListEqual(self.diag_pathological.attractor_fixed_nodes_list,[{}, {'xA': 1, 'xB': 1, 'xC': 1}]) def test_ghost_branch_with_max_simulate_size_0(self): ''' If we don't simulate the STG with brute force at all (max_simulate_size=0) the output should give a warning on the form of a "!" for nodes that potentially oscillate. ''' max_simulate_size=0 ar = sm.AttractorRepertoire.from_primes(self.primes_pathological, max_simulate_size=max_simulate_size) attractors_dict_list=[] for a in ar.attractors: attractors_dict_list.append(a.attractor_dict) self.assertListEqual(attractors_dict_list, [{'xA': '!', 'xB': '!', 'xC': 0}, {'xA': 1, 'xB': 1, 'xC': 1}]) def test_two_complex_attractors_on_the_same_branch(self): rules='''a* = !b | Z b* = c | Z c* = a & ~Z A* = ~B | Y B* = C | Y C* = A & ~Y Z* = ~(A & B & ~C) Y* = ~(a & b & ~c) ''' rules_pbn = sm.format.booleannet2bnet(rules) primes = pyboolnet.file_exchange.bnet2primes(rules_pbn) max_simulate_size=20 ar = sm.AttractorRepertoire.from_primes(primes, max_simulate_size=max_simulate_size) attractors_dict_list=[] for a in ar.attractors: attractors_dict_list.append(a.attractor_dict) self.assertListEqual(attractors_dict_list, [{'A': '1', 'B': '1', 'C': '0', 'Y': '1', 'Z': '0', 'a': 'X', 'b': 'X', 'c': 'X'}, {'A': 'X', 'B': 'X', 'C': 'X', 'Y': '0', 'Z': '1', 'a': '1', 'b': '1', 'c': '0'}]) max_simulate_size=0 ar = sm.AttractorRepertoire.from_primes(primes, max_simulate_size=max_simulate_size) attractors_dict_list=[] for a in ar.attractors: attractors_dict_list.append(a.attractor_dict) self.assertListEqual(attractors_dict_list, [{'A': '?', 'B': '?', 'C': '?', 'Y': '?', 'Z': '?', 'a': '?', 'b': '?', 'c': '?'}]) #Testing functions of export.py def test_networkx_succession_diagram_reduced_network_based(self): import pystablemotifs.export as ex rules='''A*=B B*=A C*=A or not D D*=C E*=B and F F*=E''' rules_pbn = sm.format.booleannet2bnet(rules) primes = pyboolnet.file_exchange.bnet2primes(rules_pbn) max_simulate_size=20 include_attractors_in_diagram=False ar = sm.AttractorRepertoire.from_primes(primes, max_simulate_size=max_simulate_size) GR=ex.networkx_succession_diagram_reduced_network_based(ar,include_attractors_in_diagram=include_attractors_in_diagram) self.assertDictEqual(dict(GR.nodes(data=True)),{0: {'label': '', 'virtual_nodes': []}, 1: {'label': '{A: 0, B: 0}', 'virtual_nodes': [{'A': 0, 'B': 0}]}, 2: {'label': '{A: 1, B: 1}', 'virtual_nodes': [{'A': 1, 'B': 1}]}, 3: {'label': '{A: 1, B: 1}, {E: 1, F: 1}', 'virtual_nodes': [{'A': 1, 'B': 1}, {'E': 1, 'F': 1}]}, 4: {'label': '{A: 1, B: 1}, {E: 0, F: 0}', 'virtual_nodes': [{'A': 1, 'B': 1}, {'E': 0, 'F': 0}]}, 5: {'label': '{E: 0, F: 0}', 'virtual_nodes': [{'E': 0, 'F': 0}]}, 6: {'label': '{E: 0, F: 0}, {A: 0, B: 0}', 'virtual_nodes': [{'E': 0, 'F': 0}, {'A': 0, 'B': 0}]}}) self.assertListEqual(list(GR.edges()), [(0, 1), (0, 2), (0, 5), (2, 3), (2, 4), (5, 6)]) def test_networkx_succession_diagram_reduced_network_based(self): import pystablemotifs.export as ex rules='''A*=B B*=A C*=A or not D D*=C E*=B and F F*=E''' rules_pbn = sm.format.booleannet2bnet(rules) primes = pyboolnet.file_exchange.bnet2primes(rules_pbn) max_simulate_size=20 include_attractors_in_diagram=False ar = sm.AttractorRepertoire.from_primes(primes, max_simulate_size=max_simulate_size) GR=ex.networkx_succession_diagram_reduced_network_based(ar,include_attractors_in_diagram=include_attractors_in_diagram) self.assertDictEqual(dict(GR.nodes(data=True)),{0: {'label': '', 'virtual_nodes': []}, 1: {'label': '{A: 0, B: 0}', 'virtual_nodes': [{'A': 0, 'B': 0}]}, 2: {'label': '{A: 1, B: 1}', 'virtual_nodes': [{'A': 1, 'B': 1}]}, 3: {'label': '{A: 1, B: 1}, {E: 1, F: 1}', 'virtual_nodes': [{'A': 1, 'B': 1}, {'E': 1, 'F': 1}]}, 4: {'label': '{A: 1, B: 1}, {E: 0, F: 0}', 'virtual_nodes': [{'A': 1, 'B': 1}, {'E': 0, 'F': 0}]}, 5: {'label': '{E: 0, F: 0}', 'virtual_nodes': [{'E': 0, 'F': 0}]}, 6: {'label': '{E: 0, F: 0}, {A: 0, B: 0}', 'virtual_nodes': [{'E': 0, 'F': 0}, {'A': 0, 'B': 0}]}}) self.assertListEqual(list(GR.edges()), [(0, 1), (0, 2), (0, 5), (2, 3), (2, 4), (5, 4), (5, 6) include_attractors_in_diagram=True GR=ex.networkx_succession_diagram_reduced_network_based(ar,include_attractors_in_diagram=include_attractors_in_diagram) self.assertDictEqual(dict(GR.nodes(data=True)),{0: {'label': '', 'virtual_nodes': []}, 1: {'label': '{A: 0, B: 0}', 'virtual_nodes': [{'A': 0, 'B': 0}]}, 2: {'label': '{A: 1, B: 1}', 'virtual_nodes': [{'A': 1, 'B': 1}]}, 3: {'label': '{A: 1, B: 1}, {E: 1, F: 1}', 'virtual_nodes': [{'A': 1, 'B': 1}, {'E': 1, 'F': 1}]}, 4: {'label': '{A: 1, B: 1}, {E: 0, F: 0}', 'virtual_nodes': [{'A': 1, 'B': 1}, {'E': 0, 'F': 0}]}, 5: {'label': '{E: 0, F: 0}', 'virtual_nodes': [{'E': 0, 'F': 0}]}, 6: {'label': '{E: 0, F: 0}, {A: 0, B: 0}', 'virtual_nodes': [{'E': 0, 'F': 0}, {'A': 0, 'B': 0}]}, 'A0': {'label': '{A: 0, B: 0, C: X, D: X, E: 0, F: 0}', 'virtual_nodes': {'A': 0, 'B': 0, 'C': 'X', 'D': 'X', 'E': 0, 'F': 0}}, 'A1': {'label': '{A: 1, B: 1, C: 1, D: 1, E: 1, F: 1}', 'virtual_nodes': {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 1, 'F': 1}}, 'A2': {'label': '{A: 1, B: 1, C: 1, D: 1, E: 0, F: 0}', 'virtual_nodes': {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 0, 'F': 0}}}) self.assertListEqual(list(GR.edges()), [(0, 1), (0, 2), (0, 5), (1, 'A0'), (2, 3), (2, 4), (3, 'A1'), (4, 'A2'), (5, 4), (5, 6), (6, 'A0')]) def test_networkx_succession_diagram_motif_based(self): import pystablemotifs.export as ex rules='''A*=B B*=A C*=A or not D D*=C E*=B and F F*=E''' rules_pbn = sm.format.booleannet2bnet(rules) primes = pyboolnet.file_exchange.bnet2primes(rules_pbn) max_simulate_size=20 include_attractors_in_diagram=False ar = sm.AttractorRepertoire.from_primes(primes, max_simulate_size=max_simulate_size) GM=ex.networkx_succession_diagram_motif_based(ar,include_attractors_in_diagram=include_attractors_in_diagram) self.assertDictEqual(dict(GM.nodes(data=True)),{(0, 1): {'label': '{A: 0, B: 0}', 'virtual_nodes': {'A': 0, 'B': 0}}, (0, 2): {'label': '{B: 1, A: 1}', 'virtual_nodes': {'B': 1, 'A': 1}}, (2, 3): {'label': '{E: 1, F: 1}', 'virtual_nodes': {'E': 1, 'F': 1}}, (2, 4): {'label': '{E: 0, F: 0}', 'virtual_nodes': {'E': 0, 'F': 0}}, (0, 5): {'label': '{E: 0, F: 0}', 'virtual_nodes': {'E': 0, 'F': 0}}, (5, 4): {'label': '{B: 1, A: 1}', 'virtual_nodes': {'B': 1, 'A': 1}}, (5, 6): {'label': '{A: 0, B: 0}', 'virtual_nodes': {'A': 0, 'B': 0}}}) self.assertListEqual(list(GM.edges()), [((0, 2), (2, 3)), ((0, 2), (2, 4)), ((0, 5), (5, 4)), ((0, 5), (5, 6))]) include_attractors_in_diagram=True ar = sm.AttractorRepertoire.from_primes(primes, max_simulate_size=max_simulate_size) GM=ex.networkx_succession_diagram_motif_based(ar,include_attractors_in_diagram=include_attractors_in_diagram) self.assertDictEqual(dict(GM.nodes(data=True)),{(0, 1): {'label': '{A: 0, B: 0}', 'virtual_nodes': {'A': 0, 'B': 0}}, (0, 2): {'label': '{B: 1, A: 1}', 'virtual_nodes': {'B': 1, 'A': 1}}, (2, 3): {'label': '{E: 1, F: 1}', 'virtual_nodes': {'E': 1, 'F': 1}}, (2, 4): {'label': '{E: 0, F: 0}', 'virtual_nodes': {'E': 0, 'F': 0}}, (0, 5): {'label': '{E: 0, F: 0}', 'virtual_nodes': {'E': 0, 'F': 0}}, (5, 4): {'label': '{B: 1, A: 1}', 'virtual_nodes': {'B': 1, 'A': 1}}, (5, 6): {'label': '{A: 0, B: 0}', 'virtual_nodes': {'A': 0, 'B': 0}}, 'A0': {'label': '{A: 0, B: 0, C: X, D: X, E: 0, F: 0}', 'virtual_nodes': {'A': 0, 'B': 0, 'C': 'X', 'D': 'X', 'E': 0, 'F': 0}}, 'A1': {'label': '{A: 1, B: 1, C: 1, D: 1, E: 1, F: 1}', 'virtual_nodes': {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 1, 'F': 1}}, 'A2': {'label': '{A: 1, B: 1, C: 1, D: 1, E: 0, F: 0}', 'virtual_nodes': {'A': 1, 'B': 1, 'C': 1, 'D': 1, 'E': 0, 'F': 0}}}) self.assertListEqual(list(GM.edges()), [((0, 1), 'A0'), ((0, 2), (2, 3)), ((0, 2), (2, 4)), ((2, 3), 'A1'), ((2, 4), 'A2'), ((0, 5), (5, 4)), ((0, 5), (5, 6)), ((5, 4), 'A2'), ((5, 6), 'A0')]) def test_networkx_succession_diagram_reduced_network_based_pathological_example(self): import pystablemotifs.export as ex rules=''' xA*= not xA and not xB or xC xB*= not xA and not xB or xC xC*= xA and xB ''' rules_pbn = sm.format.booleannet2bnet(rules) primes = pyboolnet.file_exchange.bnet2primes(rules_pbn) max_simulate_size=20 include_attractors_in_diagram=False ar = sm.AttractorRepertoire.from_primes(primes, max_simulate_size=max_simulate_size) GR=ex.networkx_succession_diagram_reduced_network_based(ar,include_attractors_in_diagram=include_attractors_in_diagram) self.assertDictEqual(dict(GR.nodes(data=True)),{0: {'label': '', 'virtual_nodes': []}, 1: {'label': '{xA: 1, xB: 1, xC: 1}', 'virtual_nodes': [{'xA': 1, 'xB': 1, 'xC': 1}]}}) self.assertListEqual(list(GR.edges()), [(0, 1)]) include_attractors_in_diagram=True GR=ex.networkx_succession_diagram_reduced_network_based(ar,include_attractors_in_diagram=include_attractors_in_diagram) self.assertDictEqual(dict(GR.nodes(data=True)),{0: {'label': '', 'virtual_nodes': []}, 1: {'label': '{xA: 1, xB: 1, xC: 1}', 'virtual_nodes': [{'xA': 1, 'xB': 1, 'xC': 1}]}, 'A0': {'label': '{xA: X, xB: X, xC: 0}', 'virtual_nodes': {'xA': 'X', 'xB': 'X', 'xC': 0}}, 'A1': {'label': '{xA: 1, xB: 1, xC: 1}', 'virtual_nodes': {'xA': 1, 'xB': 1, 'xC': 1}}}) self.assertListEqual(list(GR.edges()), [(0, 1), (0, 'A0'), (1, 'A1')]) if __name__ == '__main__': unittest.main()

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