xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

021d5769d36b572a0f2addec694597fefa3cfa6f

158

py

Python

Backend/order/urls.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

[ "MIT" ]

null

Backend/order/urls.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

[ "MIT" ]

null

Backend/order/urls.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

[ "MIT" ]

null

from django.urls import path from . import views urlpatterns = [ path('checkout/', views.checkout), path('orders/', views.OrdersList.as_view()), ]

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null

0

1

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3

022fd56061f4a128f54c059a42d1bbaadf434720

322

py

Python

src/homework/models/__init__.py

nvo87/education-backend

1f008bd396b5dde4483af611532826a9bca9fef5

[ "MIT" ]

62

2021-09-22T18:38:26.000Z

2022-03-29T06:09:42.000Z

src/homework/models/__init__.py

nvo87/education-backend

1f008bd396b5dde4483af611532826a9bca9fef5

[ "MIT" ]

50

2021-09-16T07:17:31.000Z

2022-03-26T12:06:58.000Z

src/homework/models/__init__.py

nvo87/education-backend

1f008bd396b5dde4483af611532826a9bca9fef5

[ "MIT" ]

16

2021-10-17T17:43:31.000Z

2022-03-26T11:22:45.000Z

from homework.models.answer import Answer from homework.models.answer_access_log_entry import AnswerAccessLogEntry from homework.models.answer_cross_check import AnswerCrossCheck from homework.models.question import Question __all__ = [ 'Answer', 'AnswerAccessLogEntry', 'AnswerCrossCheck', 'Question', ]

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024580a7ff506aa3cbda6d46122b84b1603a6c05

794

py

Python

pywikibot/families/omegawiki_family.py

shizhao/pywikibot-core

8441a1cd0e8dd5d3701f1c5e26077e40a40937ee

[ "MIT" ]

null

pywikibot/families/omegawiki_family.py

shizhao/pywikibot-core

8441a1cd0e8dd5d3701f1c5e26077e40a40937ee

[ "MIT" ]

null

pywikibot/families/omegawiki_family.py

shizhao/pywikibot-core

8441a1cd0e8dd5d3701f1c5e26077e40a40937ee

[ "MIT" ]

null

# -*- coding: utf-8 -*- __version__ = '$Id: 024580a7ff506aa3cbda6d46122b84b1603a6c05 $' from pywikibot import family # Omegawiki, the Ultimate online dictionary class Family(family.Family): def __init__(self): family.Family.__init__(self) self.name = 'omegawiki' self.langs['omegawiki'] = 'www.omegawiki.org' # On most Wikipedias page names must start with a capital letter, but some # languages don't use this. self.nocapitalize = self.langs.keys() def hostname(self,code): return 'www.omegawiki.org' def version(self, code): return "1.16alpha" def scriptpath(self, code): return '' def path(self, code): return '/index.php' def apipath(self, code): return '/api.php'

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null

0

1

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1

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3

02591a0ba3663c70495908f0fded2d81e95b4ceb

474

py

Python

Entities/element.py

JoseleSolis/Proceso-de-aprendizaje

0c6ee3a64ad48501dd42d2abcb5bf8b4cbb4f370

[ "MIT" ]

null

Entities/element.py

JoseleSolis/Proceso-de-aprendizaje

0c6ee3a64ad48501dd42d2abcb5bf8b4cbb4f370

[ "MIT" ]

null

Entities/element.py

JoseleSolis/Proceso-de-aprendizaje

0c6ee3a64ad48501dd42d2abcb5bf8b4cbb4f370

[ "MIT" ]

2

2022-02-07T05:42:57.000Z

2022-02-13T11:05:21.000Z

class Element: dependencies = [] def __init__(self, name): self.name = name def add_dependencies(self, *elements): for element in elements: if not self.dependencies.__contains__(element): self.dependencies.append(element) def remove_dependencies(self, *elements): for element in elements: if self.dependencies.__contains__(element): self.dependencies.remove(element)

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025c55086785bd2358aa07697fa9e5ff75a7e9fe

2,268

py

Python

github/migrations/0007_auto_20201003_1239.py

h3nnn4n/git-o-matic-9k

d8241cc768591e0f41c02b2057d7b56697a4cc86

[ "MIT" ]

null

github/migrations/0007_auto_20201003_1239.py

h3nnn4n/git-o-matic-9k

d8241cc768591e0f41c02b2057d7b56697a4cc86

[ "MIT" ]

null

github/migrations/0007_auto_20201003_1239.py

h3nnn4n/git-o-matic-9k

d8241cc768591e0f41c02b2057d7b56697a4cc86

[ "MIT" ]

null

# Generated by Django 3.1.2 on 2020-10-03 12:39 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('github', '0006_repository_open_issues_count'), ] operations = [ migrations.RenameField( model_name='developer', old_name='user_name', new_name='login', ), migrations.AddField( model_name='developer', name='bio', field=models.TextField(blank=True), ), migrations.AddField( model_name='developer', name='company', field=models.TextField(blank=True), ), migrations.AddField( model_name='developer', name='created_at', field=models.DateTimeField(default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='developer', name='email', field=models.TextField(blank=True), ), migrations.AddField( model_name='developer', name='followers', field=models.IntegerField(default=0), ), migrations.AddField( model_name='developer', name='following', field=models.IntegerField(default=0), ), migrations.AddField( model_name='developer', name='location', field=models.TextField(blank=True), ), migrations.AddField( model_name='developer', name='name', field=models.TextField(default=''), preserve_default=False, ), migrations.AddField( model_name='developer', name='public_gists', field=models.IntegerField(default=0), ), migrations.AddField( model_name='developer', name='public_repos', field=models.IntegerField(default=0), ), migrations.AddField( model_name='developer', name='updated_at', field=models.DateTimeField(default=django.utils.timezone.now), preserve_default=False, ), ]

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02842784fc821e743357ee9efac57212bf1f6827

326

py

Python

src/utils.py

fabiob/wwwsqldesigner-aws

5518eae682e8228be30b094c6015054b3cddf8f3

[ "MIT" ]

null

src/utils.py

fabiob/wwwsqldesigner-aws

5518eae682e8228be30b094c6015054b3cddf8f3

[ "MIT" ]

null

src/utils.py

fabiob/wwwsqldesigner-aws

5518eae682e8228be30b094c6015054b3cddf8f3

[ "MIT" ]

1

2021-04-04T09:41:51.000Z

from .env import S3_PREFIX def respond(body=None, mime="text/plain", code=200, headers={}): h = {"Content-Type": mime} h.update(headers) return {"statusCode": code, "body": body, "headers": h} def fn(keyword): return f'{S3_PREFIX}{keyword}.xml' def fix(filename): return filename[len(S3_PREFIX):-4]

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3

65febfc830676365453c5d43b397d3e86ac87c5f

471

py

Python

invenio_flow/decorators.py

egabancho/invenio-flow

583e55d17ab6aabd20bc4a46d098f034c0d0f693

[ "MIT" ]

null

invenio_flow/decorators.py

egabancho/invenio-flow

583e55d17ab6aabd20bc4a46d098f034c0d0f693

[ "MIT" ]

null

invenio_flow/decorators.py

egabancho/invenio-flow

583e55d17ab6aabd20bc4a46d098f034c0d0f693

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (C) 2020 Esteban J. G. Gabancho. # # Invenio-Flow is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. """Useful decorators.""" from celery import shared_task from .api import Task def task(*args, **kwargs): """Wrapper around shared task to set default base class.""" kwargs.setdefault('base', Task) return shared_task(*args, **kwargs)

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5a06baf447f7c7644ae324b314d4d848bee4ba67

12,225

py

Python

app_api/serializers.py

pkucsie/SIEPServer

00b0637eb8302135dfc772fccd18cd749a93e5c6

[ "Apache-2.0" ]

2

2021-02-12T10:02:42.000Z

2021-03-15T13:08:04.000Z

app_api/serializers.py

pkucsie/SIEPServer

00b0637eb8302135dfc772fccd18cd749a93e5c6

[ "Apache-2.0" ]

null

app_api/serializers.py

pkucsie/SIEPServer

00b0637eb8302135dfc772fccd18cd749a93e5c6

[ "Apache-2.0" ]

null

import datetime import time from utils import utils from rest_framework import serializers from rest_framework.relations import StringRelatedField from app_api.models import Album, Info, Order, Coupon, Integral, Notice, Lesson, Question, Cart, Setup, User, Bill, Address, Catalog, Log, \ ReadType, Teacher, Comment, \ Hot, Recharge, LabelFollow, Student, Navigation, Read, Article, History, Qa, ArticleType, UserNotice, Slider, \ UserLesson, Nav, LabelType, \ IntegralType, Label, Footer, CommonPathConfig, StudentType, LessonType, LessonHardType, Chapter, Term, QaType, \ RechargeAction, RechargePay, \ CouponRange, CouponStatus, OrderItem, OrderStatus, Consult, ReadChapterItem, ReadChapter, LogType, VipGuest, Judge, \ Organization, TaskTimeline, Project, Score, WXAdmin, WXUser class ConsultSerializer(serializers.ModelSerializer): class Meta: model = Consult fields = "__all__" class OrderStatusSerializer(serializers.ModelSerializer): class Meta: model = OrderStatus fields = ["text", "code"] class OrderItemSerializer(serializers.ModelSerializer): class Meta: model = OrderItem fields = "__all__" class OrderWaySerializer(serializers.ModelSerializer): class Meta: model = RechargePay fields = ["text", "code"] class OrderListSerializer(serializers.ModelSerializer): status = OrderStatusSerializer() way = OrderWaySerializer() list = OrderItemSerializer(many=True) class Meta: model = Order fields = "__all__" class OrderSerializer(serializers.ModelSerializer): class Meta: model = Order fields = "__all__" class OrderInfoSerializer(serializers.ModelSerializer): list = OrderItemSerializer(many=True) class Meta: model = Order fields = "__all__" class CouponRangeSerializer(serializers.ModelSerializer): class Meta: model = CouponRange fields = ["text", "code"] class CouponStatusSerializer(serializers.ModelSerializer): class Meta: model = CouponStatus fields = ["text", "code"] class CouponSerializer(serializers.ModelSerializer): range = CouponRangeSerializer() status = CouponStatusSerializer() starttime = serializers.DateTimeField(format="%Y.%m.%d") endtime = serializers.DateTimeField(format="%Y.%m.%d") class Meta: model = Coupon fields = "__all__" class IntegralSerializer(serializers.ModelSerializer): class Meta: model = Integral fields = "__all__" class UserNoticeSerializer(serializers.ModelSerializer): class Meta: model = UserNotice fields = "__all__" class NoticeSerializer(serializers.ModelSerializer): class Meta: model = Notice fields = "__all__" class LabelTypeHomeSerializer(serializers.ModelSerializer): class Meta: model = LabelType fields = ["code", "title"] class LabelTypeSerializer(serializers.ModelSerializer): text = serializers.CharField(source="title") class Meta: model = LabelType fields = ["code", "text"] class LessonTypeSerializer(serializers.ModelSerializer): class Meta: model = LessonType fields = ["code", "text"] class LabelSerializer(serializers.ModelSerializer): type = LabelTypeSerializer() class Meta: model = Label fields = "__all__" class LabelInnerLessonSerializer(serializers.ModelSerializer): class Meta: model = Label fields = ["title"] class LessonHardTypeSerializer(serializers.ModelSerializer): class Meta: model = LessonHardType fields = ["code", "text"] class TaskTimelineSerializer(serializers.ModelSerializer): class Meta: model = TaskTimeline fields = "__all__" class OrganizationSerializer(serializers.ModelSerializer): class Meta: model = Organization fields = "__all__" class VipGuestSerializer(serializers.ModelSerializer): class Meta: model = VipGuest fields = "__all__" class JudgeSerializer(serializers.ModelSerializer): class Meta: model = Judge fields = "__all__" class ScoreSerializer(serializers.ModelSerializer): class Meta: model = Score fields = "__all__" class ProjectSerializer(serializers.ModelSerializer): class Meta: model = Project fields = "__all__" class TeacherSerializer(serializers.ModelSerializer): class Meta: model = Teacher fields = "__all__" class LessonSerializer(serializers.ModelSerializer): category = LabelTypeSerializer() type = LessonTypeSerializer() labels = StringRelatedField(many=True) teacher = TeacherSerializer() class Meta: model = Lesson fields = "__all__" class LessonInfoSerializer(serializers.ModelSerializer): category = LabelTypeSerializer() type = LessonTypeSerializer() labels = StringRelatedField(many=True) hard = LessonHardTypeSerializer() teacher = TeacherSerializer() class Meta: model = Lesson fields = "__all__" class TermSerializer(serializers.ModelSerializer): class Meta: model = Term fields = "__all__" class ChapterSerializer(serializers.ModelSerializer): term = TermSerializer(many=True) class Meta: model = Chapter fields = "__all__" class QuestionSerializer(serializers.ModelSerializer): class Meta: model = Question fields = "__all__" class CartSerializer(serializers.ModelSerializer): class Meta: model = Cart fields = "__all__" class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = "__all__" class AddressSerializer(serializers.ModelSerializer): class Meta: model = Address fields = "__all__" class CatalogSerializer(serializers.ModelSerializer): class Meta: model = Catalog fields = "__all__" class LogTypeSerializer(serializers.ModelSerializer): class Meta: model = LogType fields = ["text", "code"] class LogSerializer(serializers.ModelSerializer): type = LogTypeSerializer() class Meta: model = Log fields = "__all__" class ReadTypeSerializer(serializers.ModelSerializer): class Meta: model = ReadType fields = "__all__" class CommentSerializer(serializers.ModelSerializer): class Meta: model = Comment fields = "__all__" class HotSerializer(serializers.ModelSerializer): class Meta: model = Hot fields = "__all__" class RechargeActionSerializer(serializers.ModelSerializer): class Meta: model = RechargeAction fields = ["text", "code"] class RechargePaySerializer(serializers.ModelSerializer): action = RechargeActionSerializer class Meta: model = RechargePay fields = ["text", "code"] class RechargeListSerializer(serializers.ModelSerializer): action = RechargeActionSerializer() way = RechargePaySerializer() class Meta: model = Recharge fields = "__all__" class BillSerializer(serializers.ModelSerializer): way = RechargePaySerializer() orderno = serializers.SerializerMethodField() class Meta: model = Bill fields = "__all__" @staticmethod def get_orderno(obj): year = datetime.datetime.now().year month = datetime.datetime.now().month day = datetime.datetime.now().day if month < 10: month = f'0{month}' if day < 10: day = f'0{day}' return f'{year}{month}{day}{int(time.time())}' class RechargeSerializer(serializers.ModelSerializer): class Meta: model = Recharge fields = "__all__" class LabelFollowSerializer(serializers.ModelSerializer): class Meta: model = LabelFollow fields = "__all__" class StudentTypeSerializer(serializers.ModelSerializer): class Meta: model = StudentType fields = ["code", "text"] class StudentSerializer(serializers.ModelSerializer): type = StudentTypeSerializer() class Meta: model = Student fields = "__all__" class NavigationSerializer(serializers.ModelSerializer): class Meta: model = Navigation fields = "__all__" class ReadChapterItemSerializer(serializers.ModelSerializer): class Meta: model = ReadChapterItem fields = "__all__" class ReadChapterSerializer(serializers.ModelSerializer): data = ReadChapterItemSerializer(source="chapter_item", many=True) class Meta: model = ReadChapter fields = "__all__" class ReadSerializer(serializers.ModelSerializer): author = TeacherSerializer() tryRead = serializers.SerializerMethodField() class Meta: model = Read fields = "__all__" @staticmethod def get_tryRead(obj): chapters = ReadChapter.objects.filter(read=obj).values_list("id", flat=True) chapter_items = ReadChapterItem.objects.filter(read_chapter_id__in=chapters, isTry=True).values_list("title", flat=True) return chapter_items class ReadInfoSerializer(serializers.ModelSerializer): author = TeacherSerializer() chapter = ReadChapterSerializer(many=True) class Meta: model = Read fields = "__all__" class ArticleSerializer(serializers.ModelSerializer): type = serializers.IntegerField(source="type.code") class Meta: model = Article fields = "__all__" class HistorySerializer(serializers.ModelSerializer): class Meta: model = History fields = "__all__" class QaTypeSerializer(serializers.ModelSerializer): class Meta: model = QaType fields = ["text", "code"] class QaSerializer(serializers.ModelSerializer): status = QaTypeSerializer(source="type") class Meta: model = Qa fields = "__all__" class ArticleTypeSerializer(serializers.ModelSerializer): class Meta: model = ArticleType fields = "__all__" class SliderSerializer(serializers.ModelSerializer): class Meta: model = Slider fields = "__all__" class UserLessonSerializer(serializers.ModelSerializer): type = LessonTypeSerializer() class Meta: model = UserLesson fields = "__all__" class NavSerializer(serializers.ModelSerializer): class Meta: model = Nav fields = "__all__" class IntegralTypeSerializer(serializers.ModelSerializer): class Meta: model = IntegralType fields = "__all__" class FooterSerializer(serializers.ModelSerializer): class Meta: model = Footer fields = "__all__" class CommonPathConfigSerializer(serializers.ModelSerializer): class Meta: model = CommonPathConfig fields = "__all__" class AlbumSerializer(serializers.ModelSerializer): class Meta: model = Album fields = "__all__" class InfoSerializer(serializers.ModelSerializer): class Meta: model = Info fields = "__all__" class SetupSerializer(serializers.ModelSerializer): class Meta: model = Setup fields = "__all__" class WxuserSerializer(serializers.ModelSerializer): def to_representation(self, instance): """Convert `username` to lowercase.""" ret = super().to_representation(instance) ret['USER_LOGIN_TIME'] = utils.get_agostr(ret['USER_LOGIN_TIME']) ret['USER_BIRTH'] = utils.get_age(ret['USER_BIRTH']) return ret class Meta: model = WXUser fields = "__all__" class WxuserFullSerializer(serializers.ModelSerializer): def to_representation(self, instance): """Convert `username` to lowercase.""" ret = super().to_representation(instance) ret['USER_BIRTH'] = utils.get_ymd(ret['USER_BIRTH']) return ret class Meta: model = WXUser fields = "__all__" class WxadminSerializer(serializers.ModelSerializer): class Meta: model = WXAdmin fields = "__all__"

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197

py

Python

tests/test_problem16.py

nolanwrightdev/blind-75-python

b92ef3449eb0143c760ddd339897a3f0a2972830

[ "MIT" ]

6

2020-02-01T23:29:51.000Z

2022-02-20T20:46:56.000Z

tests/test_problem16.py

nolanwrightdev/blind-75-python

b92ef3449eb0143c760ddd339897a3f0a2972830

[ "MIT" ]

null

tests/test_problem16.py

nolanwrightdev/blind-75-python

b92ef3449eb0143c760ddd339897a3f0a2972830

[ "MIT" ]

null

import unittest from problems.problem16 import solution class Test(unittest.TestCase): def test(self): self.assertTrue(solution([2, 3, 1, 1, 4])) self.assertFalse(solution([3, 2, 1, 0, 4]))

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py

Python

src/past/types/oldstr.py

kianmeng/python-future

80523f383fbba1c6de0551e19d0277e73e69573c

[ "MIT" ]

908

2015-01-01T21:20:45.000Z

2022-03-29T20:47:16.000Z

src/past/types/oldstr.py

kianmeng/python-future

80523f383fbba1c6de0551e19d0277e73e69573c

[ "MIT" ]

402

2015-01-04T01:30:19.000Z

2022-03-24T11:56:38.000Z

src/past/types/oldstr.py

kianmeng/python-future

80523f383fbba1c6de0551e19d0277e73e69573c

[ "MIT" ]

305

2015-01-18T19:29:37.000Z

2022-03-24T09:40:09.000Z

""" Pure-Python implementation of a Python 2-like str object for Python 3. """ from numbers import Integral from past.utils import PY2, with_metaclass if PY2: from collections import Iterable else: from collections.abc import Iterable _builtin_bytes = bytes class BaseOldStr(type): def __instancecheck__(cls, instance): return isinstance(instance, _builtin_bytes) def unescape(s): r""" Interprets strings with escape sequences Example: >>> s = unescape(r'abc\\def') # i.e. 'abc\\\\def' >>> print(s) 'abc\def' >>> s2 = unescape('abc\\ndef') >>> len(s2) 8 >>> print(s2) abc def """ return s.encode().decode('unicode_escape') class oldstr(with_metaclass(BaseOldStr, _builtin_bytes)): """ A forward port of the Python 2 8-bit string object to Py3 """ # Python 2 strings have no __iter__ method: @property def __iter__(self): raise AttributeError def __dir__(self): return [thing for thing in dir(_builtin_bytes) if thing != '__iter__'] # def __new__(cls, *args, **kwargs): # """ # From the Py3 bytes docstring: # bytes(iterable_of_ints) -> bytes # bytes(string, encoding[, errors]) -> bytes # bytes(bytes_or_buffer) -> immutable copy of bytes_or_buffer # bytes(int) -> bytes object of size given by the parameter initialized with null bytes # bytes() -> empty bytes object # # Construct an immutable array of bytes from: # - an iterable yielding integers in range(256) # - a text string encoded using the specified encoding # - any object implementing the buffer API. # - an integer # """ # # if len(args) == 0: # return super(newbytes, cls).__new__(cls) # # Was: elif isinstance(args[0], newbytes): # # We use type() instead of the above because we're redefining # # this to be True for all unicode string subclasses. Warning: # # This may render newstr un-subclassable. # elif type(args[0]) == newbytes: # return args[0] # elif isinstance(args[0], _builtin_bytes): # value = args[0] # elif isinstance(args[0], unicode): # if 'encoding' not in kwargs: # raise TypeError('unicode string argument without an encoding') # ### # # Was: value = args[0].encode(**kwargs) # # Python 2.6 string encode() method doesn't take kwargs: # # Use this instead: # newargs = [kwargs['encoding']] # if 'errors' in kwargs: # newargs.append(kwargs['errors']) # value = args[0].encode(*newargs) # ### # elif isinstance(args[0], Iterable): # if len(args[0]) == 0: # # What is this? # raise ValueError('unknown argument type') # elif len(args[0]) > 0 and isinstance(args[0][0], Integral): # # It's a list of integers # value = b''.join([chr(x) for x in args[0]]) # else: # raise ValueError('item cannot be interpreted as an integer') # elif isinstance(args[0], Integral): # if args[0] < 0: # raise ValueError('negative count') # value = b'\x00' * args[0] # else: # value = args[0] # return super(newbytes, cls).__new__(cls, value) def __repr__(self): s = super(oldstr, self).__repr__() # e.g. b'abc' on Py3, b'abc' on Py3 return s[1:] def __str__(self): s = super(oldstr, self).__str__() # e.g. "b'abc'" or "b'abc\\ndef' # TODO: fix this: assert s[:2] == "b'" and s[-1] == "'" return unescape(s[2:-1]) # e.g. 'abc' or 'abc\ndef' def __getitem__(self, y): if isinstance(y, Integral): return super(oldstr, self).__getitem__(slice(y, y+1)) else: return super(oldstr, self).__getitem__(y) def __getslice__(self, *args): return self.__getitem__(slice(*args)) def __contains__(self, key): if isinstance(key, int): return False def __native__(self): return bytes(self) __all__ = ['oldstr']

31.860294

95

0.558505

522

4,333

4.44636

0.333333

0.038776

0.040931

0.090478

0.049117

0.028436

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0.01688

0.316409

4,333

135

96

32.096296

0.766712

0.593815

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0.051282

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0.019267

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0.007407

0.025641

1

0.25641

false

0

0.102564

0.666667

0

null

0

null

0

1

0

1

0

3

5a408ec9d28877bdb362b94265d0d74be34141c1

91

py

Python

Code coach problems/Easy/Python/Skee-Ball.py

Djivs/sololearn-code-solutions

7727dd97f79863a88841548770481f6f2abdc7bf

[ "MIT" ]

1

2020-07-27T07:32:57.000Z

Code coach problems/Easy/Python/Skee-Ball.py

Djivs/sololearn-code-solutions

7727dd97f79863a88841548770481f6f2abdc7bf

[ "MIT" ]

null

Code coach problems/Easy/Python/Skee-Ball.py

Djivs/sololearn-code-solutions

7727dd97f79863a88841548770481f6f2abdc7bf

[ "MIT" ]

1

2020-11-07T12:45:21.000Z

a = int(input()) b = int(input()) if a >=b*12: print("Buy it!") else: print("Try again")

13

19

0.56044

17

91

3

0.705882

0.313725

0

0.026667

0.175824

91

6

20

15.166667

0.653333

0

0.175824

0

1

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false

0

0.333333

1

0

null

1

0

1

0

null

0

3

5a75c828e876ed3a1b7b9389dd4545aaaf2d9462

466

py

Python

examples/panflute/myemph.py

jacobwhall/panflute

281ddeaebd2c2c94f457f3da785037cadf69389e

[ "BSD-3-Clause" ]

361

2016-04-26T18:23:30.000Z

2022-03-24T20:58:18.000Z

examples/panflute/myemph.py

jacobwhall/panflute

281ddeaebd2c2c94f457f3da785037cadf69389e

[ "BSD-3-Clause" ]

164

2016-04-27T18:42:55.000Z

2022-02-13T23:34:17.000Z

examples/panflute/myemph.py

jacobwhall/panflute

281ddeaebd2c2c94f457f3da785037cadf69389e

[ "BSD-3-Clause" ]

62

2016-06-15T13:33:54.000Z

2021-11-20T07:33:07.000Z

#!/usr/bin/env python import panflute as pf """ Pandoc filter that causes emphasis to be rendered using the custom macro '\myemph{...}' rather than '\emph{...}' in latex. Other output formats are unaffected. """ def latex(s): return pf.RawInline(s, format='latex') def myemph(e, doc): if type(e)==pf.Emph and doc.format=='latex': return pf.Span(latex('\\myemph{'), *e.items, latex('}')) if __name__ == "__main__": pf.toJSONFilter(myemph)

21.181818

64

0.654506

67

466

4.432836

0.686567

0.053872

0

0.171674

466

21

65

22.190476

0.76943

0.042918

0

0.101083

0

1

0.25

false

0

0.125

0.625

0

null

0

null

0

1

0

1

0

3

ce4b095948b8f81b5b5833c6dcab9d8f5bd587a5

290

py

Python

advisor/api/urls.py

Sachin-c/api-test

c8242de24375149dcbc14e30b44d9a77d9771034

[ "MIT", "BSD-3-Clause" ]

null

advisor/api/urls.py

Sachin-c/api-test

c8242de24375149dcbc14e30b44d9a77d9771034

[ "MIT", "BSD-3-Clause" ]

null

advisor/api/urls.py

Sachin-c/api-test

c8242de24375149dcbc14e30b44d9a77d9771034

[ "MIT", "BSD-3-Clause" ]

null

from django.urls import path from advisor.api.views import ( # api_advisor_view, api_advisor_view_post, ) app_name = 'advisor' urlpatterns = [ path('admin/advisor/', api_advisor_view_post, name="post"), # path('user/<int:id>/advisor/', api_advisor_view, name="detail"), ]

22.307692

70

0.7

40

290

4.8

0.45

0.208333

0.291667

0.1875

0

0.151724

290

12

71

24.166667

0.780488

0.282759

0

0.121951

0

1

0

false

0

0.25

0

0.25

0

null

1

0

null

0

3

ce5beb636533234d09e40c6e181344e4d00f51e7

371

py

Python

sched_slack_bot/reminder/sender.py

Germandrummer92/SchedSlackBot

d211f7c0d78eb8ebbc1f22cc186c94fc61bad491

[ "MIT" ]

null

sched_slack_bot/reminder/sender.py

Germandrummer92/SchedSlackBot

d211f7c0d78eb8ebbc1f22cc186c94fc61bad491

[ "MIT" ]

null

sched_slack_bot/reminder/sender.py

Germandrummer92/SchedSlackBot

d211f7c0d78eb8ebbc1f22cc186c94fc61bad491

[ "MIT" ]

null

import abc from sched_slack_bot.model.reminder import Reminder class ReminderSender(abc.ABC): @abc.abstractmethod def send_reminder(self, reminder: Reminder) -> None: raise NotImplementedError("Not Implemented") @abc.abstractmethod def send_skip_message(self, reminder: Reminder) -> None: raise NotImplementedError("Not Implemented")

24.733333

60

0.738544

41

371

6.560976

0.512195

0.04461

0.148699

0.178439

0.460967

0

0.175202

371

14

61

26.5

0.879085

0

0.444444

0

0.080863

0

1

0.222222

false

0

0.222222

0

0.555556

0

null

0

1

0

null

0

1

0

1

0

3

ce642e6e7a09fb0be794de1dfe62d3f787626a2a

52

py

Python

tests/django/__init__.py

estudio89/maestro-python

331079cb3f0c10de2e19210cbade793544510f33

[ "BSD-3-Clause" ]

null

tests/django/__init__.py

estudio89/maestro-python

331079cb3f0c10de2e19210cbade793544510f33

[ "BSD-3-Clause" ]

null

tests/django/__init__.py

estudio89/maestro-python

331079cb3f0c10de2e19210cbade793544510f33

[ "BSD-3-Clause" ]

null

default_app_config = "tests.django.apps.MyAppConfig"

52

0.846154

7

52

6

1

0

0.038462

52

1

52

0.84

0

0.54717

0

1

0

false

0

1

0

null

0

1

0

1

null

0

3

ce827ac31d171b94c54c1e52af75d3c49aac0651

2,270

py

Python

src/tables.py

tallywiesenberg/dating-data-dividend

0a4f3d7784e9902631a79dce1efb12fc39e74963

[ "MIT" ]

null

src/tables.py

tallywiesenberg/dating-data-dividend

0a4f3d7784e9902631a79dce1efb12fc39e74963

[ "MIT" ]

null

src/tables.py

tallywiesenberg/dating-data-dividend

0a4f3d7784e9902631a79dce1efb12fc39e74963

[ "MIT" ]

null

from flask_login import UserMixin from werkzeug.security import generate_password_hash, check_password_hash from .extensions import db class User(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(80), unique=True, nullable=False) password = db.Column(db.String(200), nullable=False) address = db.Column(db.String(44), unique=True, nullable=False) left_swipes_given = db.Column(db.Integer, nullable=False) right_swipes_given = db.Column(db.Integer, nullable=False) matches = db.Column(db.Integer, nullable=False) bio = db.Column(db.String(240)) time_logged = db.Column(db.Float, nullable=False) gender = db.Column(db.String(10), nullable=False) gender_preference = db.Column(db.String(10), nullable=False) def __repr__(self): return f'{self.id} -- {self.username} -- {self.password} -- {self.address}' def set_password(self, password): '''Create hashed password''' self.password = generate_password_hash(password, method='sha256') def check_password(self, password): return check_password_hash(self.password, password) def set_address(self, address): '''Set address from placeholder to real-deal after connecting with metamask''' self.address = address # class UserData(db.Model): # id = db.Column(db.Integer, primary_key=True) # left_swipes_given = db.Column(db.Integer, nullable=False) # right_swipes_given = db.Column(db.Integer, nullable=False) # matches = db.Column(db.Integer, nullable=False) # bio = db.Column(db.String(240)) # path_to_photos = db.Column(db.String(20), nullable=False) # user_id = db.Column(db.String(44), # # db.ForeignKey('user_login.id'), # nullable=False) class Swipe(db.Model): id = db.Column(db.Integer, primary_key=True) timestamp = db.Column(db.DateTime, nullable=False) decision = db.Column(db.Boolean, nullable=False) #The user that swipes front_user = db.Column(db.String(44), # db.ForeignKey('user_login.id'), nullable=False) #The user that is swiped upon back_user = db.Column(db.String(44), # db.ForeignKey('user_login.id'), nullable=False) match = db.Column(db.Boolean, nullable=False)

40.535714

84

0.697797

314

2,270

4.926752

0.254777

0.124111

0.155139

0.113769

0.486102

0.460246

0.421461

0.381383

0

0.014831

0.168282

2,270

56

85

40.535714

0.804555

0.290308

0

0.125

1

0.03125

0.044739

0

1

0.125

false

0.21875

0.09375

0.0625

0.875

0

null

0

1

0

null

0

1

0

1

0

3

ce92edbc18e65275ac6f2bfc1a972e464010433f

205

py

Python

django_ecommerce/contact/admin.py

marshallhumble/Python_Web

d0d31647c882f30422f31aa62ecd61ae7ad87123

[ "MIT" ]

null

django_ecommerce/contact/admin.py

marshallhumble/Python_Web

d0d31647c882f30422f31aa62ecd61ae7ad87123

[ "MIT" ]

null

django_ecommerce/contact/admin.py

marshallhumble/Python_Web

d0d31647c882f30422f31aa62ecd61ae7ad87123

[ "MIT" ]

null

from django.contrib import admin from .models import ContactForm class ContactFormAdmin(admin.ModelAdmin): class Meta: model = ContactForm admin.site.register(ContactForm, ContactFormAdmin)

20.5

50

0.780488

22

205

7.272727

0.636364

0

0.156098

205

9

51

22.777778

0.924855

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

3

ce96c92938a6d505e9a78e6bd30465ac609c886c

2,238

py

Python

libs/dataset/pipeline.py

arnasRad/vits

c0e0689d8c24049a2531dd5d52fc96a594389db2

[ "MIT" ]

null

libs/dataset/pipeline.py

arnasRad/vits

c0e0689d8c24049a2531dd5d52fc96a594389db2

[ "MIT" ]

null

libs/dataset/pipeline.py

arnasRad/vits

c0e0689d8c24049a2531dd5d52fc96a594389db2

[ "MIT" ]

null

import re import string from libs.dataset.core import SampleEntry, oov_replacement_vocabulary, letter_replacements __word_start_regex = f'[ \t\n]|^|[{string.punctuation}]' __word_end_regex = f'[ \t\n]|$|[{string.punctuation}]' def does_not_have_numbers(s: SampleEntry): return not any(char.isdigit() for char in s.text) def waveform_not_longer_than(target_length): def step(s: SampleEntry): return s.duration < target_length return step def waveform_not_shorter_than(target_length): def step(s: SampleEntry): return s.duration > target_length return step def replace_oov(line): for symbol, replacement in oov_replacement_vocabulary.items(): line = re.sub(fr"{symbol}", replacement, line) line = re.sub(r"[ ]{2,}", ' ', line) line = re.sub(r"\n\s*\n", r'\n', line) return line def test_replace_oov(): assert replace_oov("vien_as") == "vien as" assert replace_oov("vien«as") == "vienas" assert replace_oov("vien\xadas") == "vienas" assert replace_oov("vien®as") == "vienas" assert replace_oov("vien°as") == "vienas" assert replace_oov("vien²as") == "vienas" assert replace_oov("vien»as") == "vienas" assert replace_oov("vienʼas") == "vien'as" assert replace_oov("vien˚as") == "vienas" assert replace_oov("vien‒as") == "vien-as" assert replace_oov("vien–as") == "vien-as" assert replace_oov("vien—as") == "vien-as" assert replace_oov("vien‘as") == "vien'as" assert replace_oov("vien’as") == "vien'as" assert replace_oov("vien“as") == 'vien"as' assert replace_oov("vien”as") == 'vien"as' assert replace_oov("vien„as") == 'vien"as' assert replace_oov("vien\\as") == "vienas" assert replace_oov("vien,,as") == 'vien"as' def replace_letter_to_sound(line): for letter, sound in letter_replacements.items(): line = re.sub(fr"({__word_start_regex})[{letter.lower()}{letter.upper()}]+({__word_end_regex})", fr"\1{sound}\2", line) return line def test_replace_letter_to_sound(): assert replace_letter_to_sound("aAa b C d e f g h I J k L M n") == "aã bė̃ cė̃ dė̃ eẽ ef̃ gė̃ hãš iĩ jòt kã el̃ em̃ eñ" assert replace_letter_to_sound("vienas du aaaa") == "vienas du aã"

34.430769

130

0.662645

348

2,238

4.103448

0.29023

0.147059

0.212885

0.238095

0.620448

0.471989

0.316527

0.257703

0.236695

0

0.002159

0.172029

2,238

64

131

34.96875

0.759849

0

0.125

0

0.020833

0.247096

0.061215

0

0.4375

1

0.1875

false

0

0.0625

0.395833

0

null

0

1

0

null

0

1

0

3

ce9e402973e2cfeb24237745cb68e27f8bb1a25f

72

py

Python

lxml2json/__init__.py

meteozond/lxml2json

502b3512dcb0ae034469a2cedd7661a4801c4425

[ "MIT" ]

null

lxml2json/__init__.py

meteozond/lxml2json

502b3512dcb0ae034469a2cedd7661a4801c4425

[ "MIT" ]

null

lxml2json/__init__.py

meteozond/lxml2json

502b3512dcb0ae034469a2cedd7661a4801c4425

[ "MIT" ]

null

#!/usr/bin/env python from functions import convert name = "convert"

18

30

0.722222

10

72

5.2

0.9

0

0.166667

72

3

31

24

0.866667

0.277778

0

0.145833

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

cec871b2942200cdc40d51b006698874939d3556

144

py

Python

sutta_publisher/src/sutta_publisher/edition_parsers/__init__.py

suttacentral/publications

878befcfeb7af7f2f511697f2769cd00441aec57

[ "CC0-1.0" ]

1

2022-02-16T09:02:58.000Z

sutta_publisher/src/sutta_publisher/edition_parsers/__init__.py

suttacentral/publications

878befcfeb7af7f2f511697f2769cd00441aec57

[ "CC0-1.0" ]

43

2022-02-07T11:37:29.000Z

2022-03-30T08:54:55.000Z

sutta_publisher/src/sutta_publisher/edition_parsers/__init__.py

suttacentral/publications

878befcfeb7af7f2f511697f2769cd00441aec57

[ "CC0-1.0" ]

null

from .epub import EpubEdition from .html import HtmlEdition from .pdf import PdfEdition __all__ = ["EpubEdition", "HtmlEdition", "PdfEdition"]

24

54

0.777778

16

144

6.75

0.5625

0

0.125

144

5

55

28.8

0.857143

0

0.222222

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

3

0c6b6942a6015b98ac3474b28a14d6d14c8b2df9

121

py

Python

G53IDS/run.py

jayBana/InventoryMan

0826f9c98062fb6600f77a721311cbf27719e528

[ "Apache-2.0" ]

null

G53IDS/run.py

jayBana/InventoryMan

0826f9c98062fb6600f77a721311cbf27719e528

[ "Apache-2.0" ]

null

G53IDS/run.py

jayBana/InventoryMan

0826f9c98062fb6600f77a721311cbf27719e528

[ "Apache-2.0" ]

null

from server.controller.app import app as webapp # import Flask app so that it can be launched with gunicorn app = webapp

30.25

59

0.793388

21

121

4.571429

0.761905

0

0.173554

121

3

60

40.333333

0.96

0.471074

0

1

0

false

0

0.5

0

0.5

0

1

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null

0

1

0

null

0

1

0

3

0c7a5201b457dc27f7c1cc8f8c9c04dfe54b1dc5

12,423

py

Python

test/unit/test_localdb.py

muchu1983/104_cameo

8c7f78de198a5bd8d870589402e3b7e8b59f520a

[ "BSD-3-Clause" ]

null

test/unit/test_localdb.py

muchu1983/104_cameo

8c7f78de198a5bd8d870589402e3b7e8b59f520a

[ "BSD-3-Clause" ]

null

test/unit/test_localdb.py

muchu1983/104_cameo

8c7f78de198a5bd8d870589402e3b7e8b59f520a

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Copyright (C) 2015, MuChu Hsu Contributed by Muchu Hsu (muchu1983@gmail.com) This file is part of BSD license <https://opensource.org/licenses/BSD-3-Clause> """ import unittest import logging from cameo.localdb import LocalDbForCurrencyApi from cameo.localdb import LocalDbForTECHORANGE from cameo.localdb import LocalDbForBNEXT from cameo.localdb import LocalDbForPEDAILY from cameo.localdb import LocalDbForINSIDE from cameo.localdb import LocalDbForTECHCRUNCH from cameo.localdb import LocalDbForJD from cameo.localdb import LocalDbForCROWDCUBE from cameo.localdb import LocalDbForCRUNCHBASE """ 測試本地端資料庫存取 """ class LocalDbTest(unittest.TestCase): #準備 def setUp(self): logging.basicConfig(level=logging.INFO) #收尾 def tearDown(self): pass """ #測試幣別轉換API 本地端資料庫存取 def test_localdb_for_currency_api(self): self.db = LocalDbForCurrencyApi() logging.info("LocalDbTest.test_getMongoDbClient") self.assertIsNotNone(self.db.mongodb) #測試 techorange 本地端資料庫存取 def test_localdb_for_techorange(self): logging.info("LocalDbTest.test_localdb_for_techorange") db = LocalDbForTECHORANGE() db.clearTestData() #清除前次測試資料 db.insertTagIfNotExists(strTagName="tag_for_unit_test") self.assertEquals(db.fetchallNotObtainedTagName()[0], "tag_for_unit_test") db.updateTagStatusIsGot(strTagName="tag_for_unit_test") self.assertEquals(db.fetchallCompletedObtainedTagName()[0], "tag_for_unit_test") db.insertNewsUrlAndNewsTagMappingIfNotExists(strNewsUrl="http://news/for/unit/test", strTagName="tag_for_unit_test") self.assertEquals(db.fetchallNewsUrlByTagName(strTagName="tag_for_unit_test")[0], "http://news/for/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.updateNewsStatusIsGot(strNewsUrl="http://news/for/unit/test") self.assertTrue(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.updateNewsStatusIsNotGot(strNewsUrlPart="/for/unit") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.clearTestData() #清除本次測試資料 #測試 bnext 本地端資料庫存取 def test_localdb_for_bnext(self): logging.info("LocalDbTest.test_localdb_for_bnext") db = LocalDbForBNEXT() db.clearTestData() #清除前次測試資料 db.insertTagIfNotExists(strTagName="tag_for_unit_test") self.assertEquals(db.fetchallNotObtainedTagName()[0], "tag_for_unit_test") db.updateTagStatusIsGot(strTagName="tag_for_unit_test") self.assertEquals(db.fetchallCompletedObtainedTagName()[0], "tag_for_unit_test") db.insertNewsUrlAndNewsTagMappingIfNotExists(strNewsUrl="http://news/for/unit/test", strTagName="tag_for_unit_test") self.assertEquals(db.fetchallNewsUrlByTagName(strTagName="tag_for_unit_test")[0], "http://news/for/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.updateNewsStatusIsGot(strNewsUrl="http://news/for/unit/test") self.assertTrue(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.clearTestData() #清除本次測試資料 #測試 pedaily 本地端資料庫存取 def test_localdb_for_pedaily(self): logging.info("LocalDbTest.test_localdb_for_pedaily") db = LocalDbForPEDAILY() db.clearTestData() #清除前次測試資料 db.insertCategoryIfNotExists(strCategoryName="category_for_unit_test") self.assertEquals(db.fetchallNotObtainedCategoryName()[0], "category_for_unit_test") db.updateCategoryStatusIsGot(strCategoryName="category_for_unit_test") self.assertEquals(db.fetchallCompletedObtainedCategoryName()[0], "category_for_unit_test") db.insertNewsUrlIfNotExists(strNewsUrl="http://news/for/unit/test", strCategoryName="category_for_unit_test") self.assertEquals(db.fetchallNewsUrlByCategoryName(strCategoryName="category_for_unit_test")[0], "http://news/for/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.updateNewsStatusIsGot(strNewsUrl="http://news/for/unit/test") self.assertTrue(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) self.assertEquals(db.fetchallCompletedObtainedNewsUrl(), ["http://news/for/unit/test"]) db.updateNewsStatusIsNotGot(strNewsUrl="http://news/for/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.clearTestData() #清除本次測試資料 #測試 inside 本地端資料庫存取 def test_localdb_for_inside(self): logging.info("LocalDbTest.test_localdb_for_inside") db = LocalDbForINSIDE() db.clearTestData() #清除前次測試資料 db.insertTagIfNotExists(strTagPage1Url="http://tag_for_unit_test/p1") self.assertEquals(db.fetchallNotObtainedTagPage1Url()[0], "http://tag_for_unit_test/p1") db.updateTagStatusIsGot(strTagPage1Url="http://tag_for_unit_test/p1") self.assertEquals(db.fetchallCompletedObtainedTagPage1Url()[0], "http://tag_for_unit_test/p1") db.insertNewsUrlAndNewsTagMappingIfNotExists(strNewsUrl="http://news/for/unit/test", strTagPage1Url="http://tag_for_unit_test/p1") self.assertEquals(db.fetchallNewsUrlByTagPage1Url(strTagPage1Url="http://tag_for_unit_test/p1")[0], "http://news/for/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.updateNewsStatusIsGot(strNewsUrl="http://news/for/unit/test") self.assertTrue(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.updateNewsStatusIsNotGot(strNewsUrlPart="/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.clearTestData() #清除本次測試資料 #測試 techcrunch 本地端資料庫存取 def test_localdb_for_techcrunch(self): logging.info("LocalDbTest.test_localdb_for_techcrunch") db = LocalDbForTECHCRUNCH() db.clearTestData() #清除前次測試資料 db.insertTopicIfNotExists(strTopicPage1Url="http://topic_for_unit_test") self.assertEquals(db.fetchallNotObtainedTopicUrl()[0], "http://topic_for_unit_test") db.updateTopicStatusIsGot(strTopicPage1Url="http://topic_for_unit_test") self.assertEquals(db.fetchallCompletedObtainedTopicUrl()[0], "http://topic_for_unit_test") db.insertNewsUrlIfNotExists(strNewsUrl="http://news/for/unit/test", strTopicPage1Url="http://topic_for_unit_test") self.assertEquals(db.fetchallNewsUrlByTopicUrl(strTopicPage1Url="http://topic_for_unit_test")[0], "http://news/for/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.updateNewsStatusIsGot(strNewsUrl="http://news/for/unit/test") self.assertTrue(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) self.assertEquals(db.fetchallCompletedObtainedNewsUrl(), ["http://news/for/unit/test"]) db.updateNewsStatusIsNotGot(strNewsUrl="http://news/for/unit/test") self.assertFalse(db.checkNewsIsGot(strNewsUrl="http://news/for/unit/test")) db.clearTestData() #清除本次測試資料 #測試京東眾籌本地端資料庫存取 def test_localdb_for_jd(self): logging.info("LocalDbTest.test_localdb_for_jd") db = LocalDbForJD() db.clearTestData() #清除前次測試資料 db.insertCategoryIfNotExists(strCategoryPage1Url="http://category_for_unit_test", strCategoryName="category_for_unit_test") self.assertEquals(db.fetchCategoryNameByUrl(strCategoryPage1Url="http://category_for_unit_test"), "category_for_unit_test") self.assertEquals(db.fetchallNotObtainedCategoryUrl()[0], "http://category_for_unit_test") db.updateCategoryStatusIsGot(strCategoryPage1Url="http://category_for_unit_test") self.assertEquals(db.fetchallCompletedObtainedCategoryUrl()[0], "http://category_for_unit_test") db.insertProjectUrlIfNotExists(strProjectUrl="http://project/for/unit/test", strCategoryPage1Url="http://category_for_unit_test") db.insertFunderUrlIfNotExists(strFunderUrl="http://funder/for/unit/test", strCategoryPage1Url="http://category_for_unit_test") self.assertEquals(db.fetchallProjectUrlByCategoryUrl(strCategoryPage1Url="http://category_for_unit_test")[0], "http://project/for/unit/test") self.assertEquals(db.fetchallFunderUrlByCategoryUrl(strCategoryPage1Url="http://category_for_unit_test")[0], "http://funder/for/unit/test") self.assertFalse(db.checkProjectIsGot(strProjectUrl="http://project/for/unit/test")) self.assertFalse(db.checkFunderIsGot(strFunderUrl="http://funder/for/unit/test")) db.updateProjectStatusIsGot(strProjectUrl="http://project/for/unit/test") db.updateFunderStatusIsGot(strFunderUrl="http://funder/for/unit/test") self.assertTrue(db.checkProjectIsGot(strProjectUrl="http://project/for/unit/test")) self.assertTrue(db.checkFunderIsGot(strFunderUrl="http://funder/for/unit/test")) self.assertEquals(db.fetchallCompletedObtainedProjectUrl(), ["http://project/for/unit/test"]) self.assertEquals(db.fetchallCompletedObtainedFunderUrl(), ["http://funder/for/unit/test"]) db.updateProjectStatusIsNotGot(strProjectUrl="http://project/for/unit/test") db.updateFunderStatusIsNotGot(strFunderUrl="http://funder/for/unit/test") self.assertFalse(db.checkProjectIsGot(strProjectUrl="http://project/for/unit/test")) self.assertFalse(db.checkFunderIsGot(strFunderUrl="http://funder/for/unit/test")) db.clearTestData() #清除本次測試資料 #測試 crowdcube 本地端資料庫存取 def test_localdb_for_crowdcube(self): logging.info("LocalDbTest.test_localdb_for_crowdcube") db = LocalDbForCROWDCUBE() db.clearTestData() #清除前次測試資料 db.insertAccountIfNotExists(strEmail="ebucdworc+0100@gmail.com", strPassword="bee520") db.insertAccountIfNotExists(strEmail="ebucdworc+0101@gmail.com", strPassword="bee520") (strAccountEmail, strAccountPassword) = db.fetchRandomReadyAccount() self.assertTrue(strAccountEmail.startswith("ebucdworc")) db.insertCompanyUrlIfNotExists(strCompanyUrl="http://company/for/unit/test") self.assertEquals(db.fetchallNotObtainedCompanyUrl(), ["http://company/for/unit/test"]) self.assertFalse(db.checkCompanyIsGot(strCompanyUrl="http://company/for/unit/test")) db.updateCompanyStatusIsGot(strCompanyUrl="http://company/for/unit/test") self.assertTrue(db.checkCompanyIsGot(strCompanyUrl="http://company/for/unit/test")) self.assertEquals(db.fetchallCompletedObtainedCompanyUrl(), ["http://company/for/unit/test"]) db.updateCompanyStatusIsNotGot(strCompanyUrl="http://company/for/unit/test") self.assertFalse(db.checkCompanyIsGot(strCompanyUrl="http://company/for/unit/test")) db.clearTestData() #清除本次測試資料 """ #測試 crunchbase 本地端資料庫存取 def test_localdb_for_crunchbase(self): logging.info("LocalDbTest.test_localdb_for_crunchbase") db = LocalDbForCRUNCHBASE() db.clearTestData() #清除前次測試資料 db.insertAccountIfNotExists(strEmail="esabhcnurc+0100@gmail.com", strPassword="bee520") db.insertAccountIfNotExists(strEmail="esabhcnurc+0101@gmail.com", strPassword="bee520") (strAccountEmail, strAccountPassword) = db.fetchRandomReadyAccount() self.assertTrue(strAccountEmail.startswith("esabhcnurc")) db.insertOrganizationUrlIfNotExists(strOrganizationUrl="http://organization/for/unit/test") self.assertEquals(db.fetchallNotObtainedOrganizationUrl(), ["http://organization/for/unit/test"]) self.assertFalse(db.checkOrganizationIsGot(strOrganizationUrl="http://organization/for/unit/test")) db.updateOrganizationStatusIsGot(strOrganizationUrl="http://organization/for/unit/test") self.assertTrue(db.checkOrganizationIsGot(strOrganizationUrl="http://organization/for/unit/test")) self.assertEquals(db.fetchallCompletedObtainedOrganizationUrl(), ["http://organization/for/unit/test"]) db.updateOrganizationStatusIsNotGot(strOrganizationUrl="http://organization/for/unit/test") self.assertFalse(db.checkOrganizationIsGot(strOrganizationUrl="http://organization/for/unit/test")) db.clearTestData() #清除本次測試資料 #測試開始 if __name__ == "__main__": unittest.main(exit=False)

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0.018192

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false

0.114286

0.314286

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0

null

0

1

0

null

0

1

0

3

0c98a8571671f7ec771a67037041f3b8e9ba1d24

274

py

Python

tests/test_tradera.py

paeronskruven/lw

a2e4b6363656812a0857a8b2cf69be3e710afe94

[ "MIT" ]

null

tests/test_tradera.py

paeronskruven/lw

a2e4b6363656812a0857a8b2cf69be3e710afe94

[ "MIT" ]

null

tests/test_tradera.py

paeronskruven/lw

a2e4b6363656812a0857a8b2cf69be3e710afe94

[ "MIT" ]

null

import lw.sources.tradera def test_valid_query(): results = lw.sources.tradera.TraderaSource().query('a') assert len(list(results)) > 0 def test_invalid_query(): results = lw.sources.tradera.TraderaSource().query('abc123') assert len(list(results)) == 0

22.833333

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0.70438

36

274

5.25

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0.222222

0.708995

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0.145985

274

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0.285714

false

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null

0

1

0

null

0

1

0

3

0c9a4fc23573fcb066eaa1cdddfd05b22ff7fab8

10,370

py

Python

tests/__init__.py

pywikibot-catfiles/file-metadata

79c585dcb67b966f02485136c4d875d5b5365230

[ "MIT" ]

10

2016-07-15T07:07:53.000Z

2022-02-17T07:41:03.000Z

tests/__init__.py

AbdealiJK/file-metadata

79c585dcb67b966f02485136c4d875d5b5365230

[ "MIT" ]

48

2016-03-14T06:44:36.000Z

2016-07-13T00:35:54.000Z

tests/__init__.py

pywikibot-catfiles/file-metadata

79c585dcb67b966f02485136c4d875d5b5365230

[ "MIT" ]

5

2017-04-24T07:02:22.000Z

2020-12-14T06:23:57.000Z

# -*- coding: utf-8 -*- from __future__ import (division, absolute_import, unicode_literals, print_function) # flake8: noqa (unused import and line too long due to links) import os import random import string import struct import wave try: import unittest except ImportError: import unittest2 as unittest try: import unittest.mock as mock except ImportError: import mock from file_metadata._compat import makedirs, which from file_metadata.utilities import download CACHE_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'files') file_download_links = { # Audio 'wikiexample.ogg': 'https://upload.wikimedia.org/wikipedia/commons/c/c8/Example.ogg', 'drums.mid': 'https://upload.wikimedia.org/wikipedia/commons/6/61/Drum_sample.mid', 'bell.wav': 'https://upload.wikimedia.org/wikipedia/commons/9/97/156064_marcolo91_bicycle-bell.wav', 'bell.flac': 'https://upload.wikimedia.org/wikipedia/commons/b/b2/Bell-ring.flac', 'bell.oga': 'https://upload.wikimedia.org/wikipedia/commons/6/6c/Announcement_on_a_wharf.oga', 'bell.ogg': 'https://upload.wikimedia.org/wikipedia/commons/3/34/Sound_Effect_-_Door_Bell.ogg', 'multiline_ffprobe.ogg': 'https://upload.wikimedia.org/wikipedia/commons/5/58/17650_thoschi_issyk-kul.ogg', # Videos 'veins.ogv': 'https://upload.wikimedia.org/wikipedia/commons/f/f2/POROS_3.ogv', 'ogg_video.ogg': 'https://upload.wikimedia.org/wikipedia/commons/e/e3/2010-06-06-V-German-Flag.ogg', 'sample.webm': 'https://upload.wikimedia.org/wikipedia/commons/a/a5/02_Punktion_des_ausgebildeten_Knopflochs%281%29.webm', # Images 'ball.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/5/51/1-ball.svg/226px-1-ball.svg.png', 'ball.svg': 'https://upload.wikimedia.org/wikipedia/commons/5/51/1-ball.svg', 'red.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/6/62/Pure_Red.svg/100px-Pure_Red.svg.png', 'green.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/c/c5/Pure_Green.svg/100px-Pure_Green.svg.png', 'blue.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/7/77/Pure_Blue.svg/100px-Pure_Blue.svg.png', 'red.svg': 'https://upload.wikimedia.org/wikipedia/commons/6/62/Pure_Red.svg', 'green.svg': 'https://upload.wikimedia.org/wikipedia/commons/c/c5/Pure_Green.svg', 'blue.svg': 'https://upload.wikimedia.org/wikipedia/commons/7/77/Pure_Blue.svg', 'animated.svg': 'https://upload.wikimedia.org/wikipedia/commons/f/fd/Animated_pendulum.svg', 'animated.gif': 'https://upload.wikimedia.org/wikipedia/commons/d/d7/123_Numbers.gif', 'animated.png': 'https://upload.wikimedia.org/wikipedia/commons/b/b5/Load.png', 'static.gif': 'https://upload.wikimedia.org/wikipedia/commons/e/ed/Pix.gif', 'cmyk.jpg': 'https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/17-barcodes-1-e_ces_2012_01.jpg/524px-17-barcodes-1-e_ces_2012_01.jpg', 'unknown_cmyk.jpg': 'https://upload.wikimedia.org/wikipedia/commons/f/f3/TeXML_dtd.jpg', # SVG files with different mimetypes 'image_svg_xml.svg': 'https://upload.wikimedia.org/wikipedia/commons/6/62/Pure_Red.svg', 'text_plain.svg': 'https://upload.wikimedia.org/wikipedia/commons/5/57/Color_icon_white.svg', 'text_html.svg': 'https://upload.wikimedia.org/wikipedia/commons/f/fd/Animated_pendulum.svg', 'application_xml.svg': 'https://upload.wikimedia.org/wikipedia/commons/0/0b/Sieve_of_Eratosthenes_animation.svg', # Images with special exifdata: 'canon_face.jpg': 'https://upload.wikimedia.org/wikipedia/commons/7/7b/Annagrah-2_041.JPG', 'nonascii_exifdata.jpg': 'https://upload.wikimedia.org/wikipedia/commons/d/d5/2013-04-25_21-09-18-ecl-lune-mosaic.jpg', # Images of faces 'mona_lisa.jpg': 'https://upload.wikimedia.org/wikipedia/commons/7/7d/Mona_Lisa_color_restoration.jpg', 'michael_jackson.jpg': 'https://upload.wikimedia.org/wikipedia/commons/7/7e/Michaeljackson_%28cropped%29.jpg', 'charlie_chaplin.jpg': 'https://upload.wikimedia.org/wikipedia/commons/0/00/Charlie_Chaplin.jpg', 'baby_face.jpg': 'https://upload.wikimedia.org/wikipedia/commons/1/10/Portrait_of_a_male_baby_%285866018681%29.jpg', 'baby_partial_face.jpg': 'https://upload.wikimedia.org/wikipedia/commons/1/1f/Sweet_Baby_Kisses_Family_Love.jpg', 'old_face.jpg': 'https://upload.wikimedia.org/wikipedia/commons/1/11/Brazil_%283042571516%29_%282%29.jpg', 'beard_face.jpg': 'https://upload.wikimedia.org/wikipedia/commons/6/61/Oskar_Almgren%2C_Stockholm%2C_Sweden_%285859501260%29_%282%29.jpg', 'cat_face.jpg': 'https://upload.wikimedia.org/wikipedia/commons/thumb/c/c4/Savannah_Cat_portrait.jpg/400px-Savannah_Cat_portrait.jpg', 'monkey_face.jpg': 'https://upload.wikimedia.org/wikipedia/commons/2/27/Baby_ginger_monkey.jpg', 'woman.xcf': 'https://upload.wikimedia.org/wikipedia/commons/a/af/Beatrix_Podolska_pedagog_muzykolog_Krakow_2008.xcf', # Barcodes / QR Codes / Data matrices 'qrcode.jpg': 'https://upload.wikimedia.org/wikipedia/commons/5/5b/Qrcode_wikipedia.jpg', 'barcode.png': 'https://upload.wikimedia.org/wikipedia/commons/1/1f/Rationalized-codabar.png', 'datamatrix.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/e/e8/Datamatrix.svg/200px-Datamatrix.svg.png', 'multibarcodes.png': 'https://upload.wikimedia.org/wikipedia/commons/9/98/DHL_Online-Frankierung_-_Paket_bis_5_kg_-_D-USA.png', 'vertical_barcode.jpg': 'https://upload.wikimedia.org/wikipedia/commons/9/9c/Final_Ida_Pasto_vs._Santa_Fe.jpg', 'huge.png': 'https://upload.wikimedia.org/wikipedia/commons/3/31/Grand_paris_express.png', 'blank.xcf': 'https://upload.wikimedia.org/wikipedia/commons/e/e2/Blank_file.xcf', 'example.tiff': 'https://upload.wikimedia.org/wikipedia/commons/b/b0/Dabigatran_binding_pockets.tiff', # Line drawings 'simple_line_drawing.jpg': 'https://upload.wikimedia.org/wikipedia/commons/c/c6/Destilacija_rakije.jpg', 'detailed_line_drawing.jpg': 'https://upload.wikimedia.org/wikipedia/commons/d/db/Compound_Microscope_1876.JPG', 'very_detailed_line_drawing.jpg': 'https://upload.wikimedia.org/wikipedia/commons/c/cb/Hospital_ward_on_Red_Rover.jpg', 'dark_line_drawing.jpg': 'https://upload.wikimedia.org/wikipedia/commons/3/3e/Bird_in_flight_line_drawing_art.jpg', # Logos 'wikimedia_logo.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/8/81/Wikimedia-logo.svg/768px-Wikimedia-logo.svg.png', 'wikidata_logo.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/f/ff/Wikidata-logo.svg/1024px-Wikidata-logo.svg.png', 'wikipedia_logo.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/d/de/Wikipedia_Logo_1.0.png/768px-Wikipedia_Logo_1.0.png', 'commons_logo.png': 'https://upload.wikimedia.org/wikipedia/commons/thumb/4/4a/Commons-logo.svg/571px-Commons-logo.svg.png', # Geocoded images 'geotag_osaka.jpg': 'https://upload.wikimedia.org/wikipedia/commons/5/50/Honda_STEPWGN_SPADA%E3%83%BBCool_Spirit_%28RP3%29_rear.JPG', # Monochrome colors 'blackwhite_monochrome.jpg': 'https://upload.wikimedia.org/wikipedia/commons/2/27/0218_-_Taormina_-_Badia_Vecchia_-_Foto_Giovanni_Dall%27Orto%2C_20-May-2008.jpg', 'blue_monochrome.jpg': 'https://upload.wikimedia.org/wikipedia/commons/9/9f/Paolo_Monti_-_Serie_fotografica_-_BEIC_6358396.jpg', 'green_monochrome.jpg': 'https://upload.wikimedia.org/wikipedia/commons/e/ea/Edvard-dawkins.jpg', 'sepia_monochrome.jpg': 'https://upload.wikimedia.org/wikipedia/commons/c/c7/1926_Hupmobile.jpg', # Color calibrations 'it8_top_bar.jpg': 'https://upload.wikimedia.org/wikipedia/commons/thumb/9/97/Waterfall_at_Schooner_Head_house_%28NYPL_b11707223-G89F198_003B%29.tiff/lossy-page1-1280px-Waterfall_at_Schooner_Head_house_%28NYPL_b11707223-G89F198_003B%29.tiff.jpg', 'it8_bottom_bar.jpg': 'https://upload.wikimedia.org/wikipedia/commons/thumb/b/b5/Two_boys_sitting_in_a_garden_%28NYPL_b11528957-G90F452_008B%29.tiff/lossy-page1-996px-Two_boys_sitting_in_a_garden_%28NYPL_b11528957-G90F452_008B%29.tiff.jpg', # Application files 'text.pdf': 'https://upload.wikimedia.org/wikipedia/commons/a/a7/Life_of_Future.pdf', 'image.pdf': 'https://upload.wikimedia.org/wikipedia/commons/4/40/AugerTransition1.pdf', 'empty.djvu': 'https://upload.wikimedia.org/wikipedia/commons/4/42/Vuota.djvu', } def fetch_file(name, overwrite=False): """ Fetch a file based on the given key. If the file is not found, it is created appropriately by either generating it or downloading it from elsewhere. :param name: The name (key) of the file that is needed. :param overwrite: Force overwrite if file exists. :return: The absolute path of the requested file. """ filepath = os.path.join(CACHE_DIR, name) makedirs(CACHE_DIR, exist_ok=True) if os.path.exists(filepath) and not overwrite: # Use cached file return filepath # Miscellaneous files if name == 'ascii.txt': with open(filepath, 'w') as file_handler: file_handler.writelines([ string.ascii_lowercase, '\n', string.ascii_uppercase, '\n', string.digits, '\n', string.punctuation, '\n']) elif name == 'file.bin': with open(filepath, 'wb') as file_hander: allascii = ''.join(chr(i) for i in range(128)) file_hander.write(allascii.encode('ascii')) # Music files elif name == "noise.wav": wav_file = wave.open(filepath, 'w') wav_file.setparams((1, 2, 44100, 0, 'NONE', 'not compressed')) for _ in range(44100): # 1 second value = struct.pack('h', random.randint(-32767, 32767)) wav_file.writeframes(value) wav_file.close() elif name in file_download_links: download(file_download_links[name], filepath) else: raise ValueError('Asked to fetch unknown file {0}.'.format(name)) return filepath def which_sideeffect(unavailable_executables): def wrapper(command, *args, **kwargs): if command in unavailable_executables: return None return which(command, *args, **kwargs) return wrapper def is_toolserver(): return os.environ.get('INSTANCEPROJECT', None) == 'tools' def is_travis(): return os.environ.get('TRAVIS', None) == 'true'

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null

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1

0

1

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null

0

3

0cae04c95140cd33bca1362795247caf69458f47

9,770

py

Python

fugue/column/functions.py

kvnkho/fugue

5f3fe8f1fb72632e5b5987d720c1d1ef546e4682

[ "Apache-2.0" ]

547

2020-09-22T08:30:14.000Z

2022-03-30T23:11:05.000Z

fugue/column/functions.py

kvnkho/fugue

5f3fe8f1fb72632e5b5987d720c1d1ef546e4682

[ "Apache-2.0" ]

196

2020-09-22T23:08:26.000Z

2022-03-26T21:22:48.000Z

fugue/column/functions.py

kvnkho/fugue

5f3fe8f1fb72632e5b5987d720c1d1ef546e4682

[ "Apache-2.0" ]

37

2020-09-23T17:05:00.000Z

2022-03-29T18:26:52.000Z

from typing import Any, Optional import pyarrow as pa from fugue.column.expressions import ( ColumnExpr, _FuncExpr, _to_col, function, ) from triad import Schema def coalesce(*args: Any) -> ColumnExpr: """SQL ``COALESCE`` function :param args: If a value is not :class:`~fugue.column.expressions.ColumnExpr` then it's converted to a literal column by :func:`~fugue.column.expressions.col` .. note:: this function can infer neither type nor alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f f.coalesce(col("a"), col("b")+col("c"), 1) """ return function("COALESCE", *[_to_col(x) for x in args]) def min(col: ColumnExpr) -> ColumnExpr: # pylint: disable=redefined-builtin """SQL ``MIN`` function (aggregation) :param col: the column to find min .. note:: * this function can infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f # assume col a has type double f.min(col("a")) # CAST(MIN(a) AS double) AS a f.min(-col("a")) # CAST(MIN(-a) AS double) AS a # neither type nor alias can be inferred in the following cases f.min(col("a")+1) f.min(col("a")+col("b")) # you can specify explicitly # CAST(MIN(a+b) AS int) AS x f.min(col("a")+col("b")).cast(int).alias("x") """ assert isinstance(col, ColumnExpr) return _SameTypeUnaryAggFuncExpr("MIN", col) def max(col: ColumnExpr) -> ColumnExpr: # pylint: disable=redefined-builtin """SQL ``MAX`` function (aggregation) :param col: the column to find max .. note:: * this function can infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f # assume col a has type double f.max(col("a")) # CAST(MAX(a) AS double) AS a f.max(-col("a")) # CAST(MAX(-a) AS double) AS a # neither type nor alias can be inferred in the following cases f.max(col("a")+1) f.max(col("a")+col("b")) # you can specify explicitly # CAST(MAX(a+b) AS int) AS x f.max(col("a")+col("b")).cast(int).alias("x") """ assert isinstance(col, ColumnExpr) return _SameTypeUnaryAggFuncExpr("MAX", col) def count(col: ColumnExpr) -> ColumnExpr: """SQL ``COUNT`` function (aggregation) :param col: the column to find count .. note:: * this function cannot infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f f.count(col("*")) # COUNT(*) f.count(col("a")) # COUNT(a) AS a # you can specify explicitly # CAST(COUNT(a) AS double) AS a f.count(col("a")).cast(float) """ assert isinstance(col, ColumnExpr) return _UnaryAggFuncExpr("COUNT", col) def count_distinct(col: ColumnExpr) -> ColumnExpr: """SQL ``COUNT DISTINCT`` function (aggregation) :param col: the column to find distinct element count .. note:: * this function cannot infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f f.count_distinct(col("*")) # COUNT(DISTINCT *) f.count_distinct(col("a")) # COUNT(DISTINCT a) AS a # you can specify explicitly # CAST(COUNT(DISTINCT a) AS double) AS a f.count_distinct(col("a")).cast(float) """ assert isinstance(col, ColumnExpr) return _UnaryAggFuncExpr("COUNT", col, arg_distinct=True) def avg(col: ColumnExpr) -> ColumnExpr: """SQL ``AVG`` function (aggregation) :param col: the column to find average .. note:: * this function cannot infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f f.avg(col("a")) # AVG(a) AS a # you can specify explicitly # CAST(AVG(a) AS double) AS a f.avg(col("a")).cast(float) """ assert isinstance(col, ColumnExpr) return _UnaryAggFuncExpr("AVG", col) def sum(col: ColumnExpr) -> ColumnExpr: # pylint: disable=redefined-builtin """SQL ``SUM`` function (aggregation) :param col: the column to find sum .. note:: * this function cannot infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f f.sum(col("a")) # SUM(a) AS a # you can specify explicitly # CAST(SUM(a) AS double) AS a f.sum(col("a")).cast(float) """ assert isinstance(col, ColumnExpr) return _UnaryAggFuncExpr("SUM", col) def first(col: ColumnExpr) -> ColumnExpr: """SQL ``FIRST`` function (aggregation) :param col: the column to find first .. note:: * this function can infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f # assume col a has type double f.first(col("a")) # CAST(FIRST(a) AS double) AS a f.first(-col("a")) # CAST(FIRST(-a) AS double) AS a # neither type nor alias can be inferred in the following cases f.first(col("a")+1) f.first(col("a")+col("b")) # you can specify explicitly # CAST(FIRST(a+b) AS int) AS x f.first(col("a")+col("b")).cast(int).alias("x") """ assert isinstance(col, ColumnExpr) return _SameTypeUnaryAggFuncExpr("FIRST", col) def last(col: ColumnExpr) -> ColumnExpr: """SQL ``LAST`` function (aggregation) :param col: the column to find last .. note:: * this function can infer type from ``col`` type * this function can infer alias from ``col``'s inferred alias .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f # assume col a has type double f.last(col("a")) # CAST(LAST(a) AS double) AS a f.last(-col("a")) # CAST(LAST(-a) AS double) AS a # neither type nor alias can be inferred in the following cases f.last(col("a")+1) f.last(col("a")+col("b")) # you can specify explicitly # CAST(LAST(a+b) AS int) AS x f.last(col("a")+col("b")).cast(int).alias("x") """ assert isinstance(col, ColumnExpr) return _SameTypeUnaryAggFuncExpr("LAST", col) def is_agg(column: Any) -> bool: """Check if a column contains aggregation operation :param col: the column to check :return: whether the column is :class:`~fugue.column.expressions.ColumnExpr` and contains aggregation operations .. admonition:: New Since :class: hint **0.6.0** .. admonition:: Examples .. code-block:: python import fugue.column.functions as f assert not f.is_agg(1) assert not f.is_agg(col("a")) assert not f.is_agg(col("a")+lit(1)) assert f.is_agg(f.max(col("a"))) assert f.is_agg(-f.max(col("a"))) assert f.is_agg(f.max(col("a")+1)) assert f.is_agg(f.max(col("a"))+f.min(col("a")))) """ if isinstance(column, _UnaryAggFuncExpr): return True if isinstance(column, _FuncExpr): return any(is_agg(x) for x in column.args) or any( is_agg(x) for x in column.kwargs.values() ) return False class _UnaryAggFuncExpr(_FuncExpr): def __init__(self, func: str, col: ColumnExpr, arg_distinct: bool = False): super().__init__(func, col, arg_distinct=arg_distinct) def infer_alias(self) -> ColumnExpr: return ( self if self.output_name != "" else self.alias(self.args[0].infer_alias().output_name) ) def _copy(self) -> _FuncExpr: return _UnaryAggFuncExpr(self.func, *self.args, **self.kwargs) class _SameTypeUnaryAggFuncExpr(_UnaryAggFuncExpr): def _copy(self) -> _FuncExpr: return _SameTypeUnaryAggFuncExpr(self.func, *self.args, **self.kwargs) def infer_type(self, schema: Schema) -> Optional[pa.DataType]: return self.as_type or self.args[0].infer_type(schema)

26.334232

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0.572467

1,255

9,770

4.410359

0.097211

0.028907

0.03523

0.046974

0.754652

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0.661427

0.552123

0.509846

0

0.005801

0.294268

9,770

370

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26.405405

0.796954

0.672979

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0.254237

false

0

0.067797

0.627119

0

null

0

1

0

null

0

1

0

1

0

3

0cb24ca44f49e7024594f31e5eea8a2d6ed7620b

1,437

py

Python

Source Files/auth.py

clever-username/baseball-card-inventory

9940ba746072892961b7ade586e63f7deb26d2e6

[ "MIT" ]

1

2021-05-18T21:32:43.000Z

Source Files/auth.py

clever-username/baseball-card-inventory

9940ba746072892961b7ade586e63f7deb26d2e6

[ "MIT" ]

null

Source Files/auth.py

clever-username/baseball-card-inventory

9940ba746072892961b7ade586e63f7deb26d2e6

[ "MIT" ]

2

2015-05-18T14:52:01.000Z

2015-05-19T18:21:51.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """This program prompts for a password.""" import authentication import getpass def login(username, maxattempts=3): """This function takes input from a user and checks the password. Arg: username(str): String input from user. maxattempts(int): Max attempts for login. Return: auth(boolean): True or False if user successfully authenticated before hitting maximum no. of failed attempts. Examples: >>>login('mike', 4) Incorrect username or password. You have 4 attempts. Incorrect username or password. You have 3 attempts. Incorrect username or password. You have 2 attempts. Incorrect username or password. You have 1 attempts. Incorrect username or password. You have 0 attempts. False """ auth = False user_login = 'Please enter your password: ' auth_fail = "Incorrect username or password. You have" ' {} ' "attempts." attempt = 1 while attempt <= maxattempts: passwd = getpass.getpass(user_login) message = authentication.authenticate(username, passwd) if message: auth = True break else: print auth_fail.format(maxattempts - attempt) attempt += 1 return auth

31.933333

78

0.592206

156

1,437

5.429487

0.461538

0.120425

0.134593

0.191263

0.27863

0.198347

0

0.01046

0.334725

1,437

44

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32.659091

0.875523

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0.143617

0

null

0.294118

0.117647

null

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0

null

0

1

0

null

0

1

0

1

0

3

0cb26210fdbce5c2de9ff66cfbeec89817eff49b

267

py

Python

tests/test_utils.py

yehzhang/dscraper

6fd1a4238795e9eb01b9dd8329a84495a70979d1

[ "Apache-2.0" ]

1

2017-08-13T09:50:06.000Z

tests/test_utils.py

yehzhang/dscraper

6fd1a4238795e9eb01b9dd8329a84495a70979d1

[ "Apache-2.0" ]

null

tests/test_utils.py

yehzhang/dscraper

6fd1a4238795e9eb01b9dd8329a84495a70979d1

[ "Apache-2.0" ]

null

import unittest import logging import xml.etree.ElementTree as et import dscraper.utils as utils logger = logging.getLogger(__name__) class TestUtils(unittest.TestCase): XML_FILES = ( 'tests/resources/1.xml', ) def setUp(self): pass

14.833333

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5.454545

0.727273

0

0.004808

0.220974

267

17

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15.705882

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0

0.078947

0

1

0.090909

false

0.090909

0.363636

0

0.636364

0

null

0

null

0

1

0

1

0

3

0cb8ec1c4a754eeb4820931d43bc795cf047e17e

187

py

Python

api/messages/csv_file.py

pikanezi/Roadkill

b2c69294afa4cce810fa898f3aa1cb467bffa413

[ "MIT" ]

null

api/messages/csv_file.py

pikanezi/Roadkill

b2c69294afa4cce810fa898f3aa1cb467bffa413

[ "MIT" ]

null

api/messages/csv_file.py

pikanezi/Roadkill

b2c69294afa4cce810fa898f3aa1cb467bffa413

[ "MIT" ]

null

__author__ = 'Vincent' from protorpc import messages class CsvFile(messages.Message): file = messages.BytesField(1, required=True) name = messages.StringField(2, required=False)

26.714286

50

0.759358

22

187

6.272727

0.818182

0

0.012422

0.139037

187

7

50

26.714286

0.844721

0

0.037234

0

1

0

false

0

0.2

0

0.8

0

1

0

null

0

1

0

null

0

1

0

3

0cc46073749631b895fb07e8351d82807fbd6e14

2,140

py

Python

lms_app/v1/serializers/user_serializers.py

Etomovich/lms-backend

e586abc44a0e74ed28da7a77f6ef31230995c84b

[ "MIT" ]

null

lms_app/v1/serializers/user_serializers.py

Etomovich/lms-backend

e586abc44a0e74ed28da7a77f6ef31230995c84b

[ "MIT" ]

1

2021-06-02T00:45:56.000Z

lms_app/v1/serializers/user_serializers.py

Etomovich/lms-backend

e586abc44a0e74ed28da7a77f6ef31230995c84b

[ "MIT" ]

null

from flask_restplus import Namespace, fields class UserDataModel(object): """Represents the user data transfer object.""" api = Namespace( 'user', description='user authentication and signup resources' ) this_user = api.model('Register input data', { 'username': fields.String( required=True, description="username" ), 'first_name': fields.String( required=True, description="user's first name" ), 'last_name': fields.String( required=True, description="user's last name" ), 'national_id': fields.Integer( required=True, description="user's national ID" ), 'role': fields.String( required=True, description="user's role" ), 'date_joined': fields.String( required=True, description="Date joined timestamp" ), 'email': fields.String( required=True, description="user's email" ), 'phone_number': fields.String( required=True, description="user's last name" ), 'password': fields.String( required=True, description="user's password" ), 'retype_password': fields.String( required=True, description="Retype password" ), 'officer_username': fields.String( required=False, description="Enter officer name" ), 'location': fields.String( required=False, description="Enter location" ), 'officer_info': fields.String( required=False, description="Add officer information" ), 'farmer_info': fields.String( required=False, description="Add farmer information" ), }) login_user = api.model('Login input data', { 'password': fields.String( required=True, description="Add your password" ), 'username': fields.String( required=False, description="Add your username" ), 'email': fields.String( required=False, description="Add you email" ) })

33.4375

70

0.574299

200

2,140

6.085

0.275

0.157765

0.262942

0.197206

0.589975

0.509449

0.287592

0.118324

0.078883

0

0.309813

2,140

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33.968254

0.823968

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0

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0.1

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0

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0

null

0

1

0

null

0

1

0

3

0cd6ed4cd564901c9d6e6419361c7b61b1d56dfb

120

py

Python

CF_Functions/Arcade/WordPower.py

glickmac/Misc_Scripts

7e18be79b84a309a1e79935f4470ea915141938d

[ "MIT" ]

null

CF_Functions/Arcade/WordPower.py

glickmac/Misc_Scripts

7e18be79b84a309a1e79935f4470ea915141938d

[ "MIT" ]

null

CF_Functions/Arcade/WordPower.py

glickmac/Misc_Scripts

7e18be79b84a309a1e79935f4470ea915141938d

[ "MIT" ]

1

2020-07-30T17:37:12.000Z

def wordPower(word): num = dict(zip(string.ascii_lowercase, range(1,27))) return sum([num[ch] for ch in word])

24

56

0.666667

20

120

3.95

0.85

0

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120

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false

0

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1

0

null

0

1

0

null

0

1

0

3

0cfc5802ff58618fd079fd5185d9edd8be7eda97

13,342

py

Python

source/rttov_test/profile-datasets-py/div83/027.py

bucricket/projectMAScorrection

89489026c8e247ec7c364e537798e766331fe569

[ "BSD-3-Clause" ]

null

source/rttov_test/profile-datasets-py/div83/027.py

bucricket/projectMAScorrection

89489026c8e247ec7c364e537798e766331fe569

[ "BSD-3-Clause" ]

1

2022-03-12T12:19:59.000Z

source/rttov_test/profile-datasets-py/div83/027.py

bucricket/projectMAScorrection

89489026c8e247ec7c364e537798e766331fe569

[ "BSD-3-Clause" ]

null

""" Profile ../profile-datasets-py/div83/027.py file automaticaly created by prof_gen.py script """ self["ID"] = "../profile-datasets-py/div83/027.py" self["Q"] = numpy.array([ 1.51831800e+00, 2.02599600e+00, 2.94787100e+00, 3.99669400e+00, 4.71653800e+00, 4.89106600e+00, 5.14399400e+00, 5.67274800e+00, 6.02338400e+00, 6.09836300e+00, 6.08376300e+00, 6.01126400e+00, 5.91866500e+00, 5.77584700e+00, 5.59481900e+00, 5.41637100e+00, 5.26750200e+00, 5.10689400e+00, 4.98576500e+00, 4.90039600e+00, 4.80689700e+00, 4.63989800e+00, 4.46443000e+00, 4.30135100e+00, 4.16606300e+00, 4.06766300e+00, 4.01361400e+00, 3.95640400e+00, 3.87825500e+00, 3.79394600e+00, 3.73623600e+00, 3.72919600e+00, 3.74067600e+00, 3.78187600e+00, 3.81900500e+00, 3.85233500e+00, 3.88512500e+00, 3.91148500e+00, 3.92466500e+00, 3.92849500e+00, 3.93905400e+00, 3.97355400e+00, 4.02951400e+00, 4.05710400e+00, 4.04558400e+00, 4.02228400e+00, 4.01040400e+00, 4.00572400e+00, 4.00641400e+00, 4.08608300e+00, 4.44130000e+00, 5.00126500e+00, 5.73600700e+00, 6.83860300e+00, 8.34002000e+00, 9.95999100e+00, 1.13537700e+01, 1.24435500e+01, 1.36048100e+01, 1.55239600e+01, 1.77784800e+01, 1.93991200e+01, 2.00516000e+01, 1.97941100e+01, 1.89638400e+01, 1.84148600e+01, 1.82331700e+01, 1.84861600e+01, 2.02668900e+01, 3.24805400e+01, 6.31028200e+01, 1.09865900e+02, 1.71694500e+02, 2.41407700e+02, 3.05073900e+02, 3.60772800e+02, 4.04902000e+02, 4.16543400e+02, 4.04623200e+02, 3.59892400e+02, 3.06567000e+02, 3.03443900e+02, 4.25764600e+02, 8.75110500e+02, 1.60701300e+03, 2.52645100e+03, 3.50894400e+03, 4.39830900e+03, 5.05090900e+03, 5.40195000e+03, 5.54486300e+03, 5.86218200e+03, 6.10752900e+03, 6.83105600e+03, 6.63557500e+03, 6.44820100e+03, 6.26853800e+03, 6.09616900e+03, 5.93072700e+03, 5.77187200e+03, 5.61926500e+03]) self["P"] = numpy.array([ 5.00000000e-03, 1.61000000e-02, 3.84000000e-02, 7.69000000e-02, 1.37000000e-01, 2.24400000e-01, 3.45400000e-01, 5.06400000e-01, 7.14000000e-01, 9.75300000e-01, 1.29720000e+00, 1.68720000e+00, 2.15260000e+00, 2.70090000e+00, 3.33980000e+00, 4.07700000e+00, 4.92040000e+00, 5.87760000e+00, 6.95670000e+00, 8.16550000e+00, 9.51190000e+00, 1.10038000e+01, 1.26492000e+01, 1.44559000e+01, 1.64318000e+01, 1.85847000e+01, 2.09224000e+01, 2.34526000e+01, 2.61829000e+01, 2.91210000e+01, 3.22744000e+01, 3.56505000e+01, 3.92566000e+01, 4.31001000e+01, 4.71882000e+01, 5.15278000e+01, 5.61260000e+01, 6.09895000e+01, 6.61253000e+01, 7.15398000e+01, 7.72396000e+01, 8.32310000e+01, 8.95204000e+01, 9.61138000e+01, 1.03017000e+02, 1.10237000e+02, 1.17778000e+02, 1.25646000e+02, 1.33846000e+02, 1.42385000e+02, 1.51266000e+02, 1.60496000e+02, 1.70078000e+02, 1.80018000e+02, 1.90320000e+02, 2.00989000e+02, 2.12028000e+02, 2.23442000e+02, 2.35234000e+02, 2.47408000e+02, 2.59969000e+02, 2.72919000e+02, 2.86262000e+02, 3.00000000e+02, 3.14137000e+02, 3.28675000e+02, 3.43618000e+02, 3.58966000e+02, 3.74724000e+02, 3.90893000e+02, 4.07474000e+02, 4.24470000e+02, 4.41882000e+02, 4.59712000e+02, 4.77961000e+02, 4.96630000e+02, 5.15720000e+02, 5.35232000e+02, 5.55167000e+02, 5.75525000e+02, 5.96306000e+02, 6.17511000e+02, 6.39140000e+02, 6.61192000e+02, 6.83667000e+02, 7.06565000e+02, 7.29886000e+02, 7.53628000e+02, 7.77790000e+02, 8.02371000e+02, 8.27371000e+02, 8.52788000e+02, 8.78620000e+02, 9.04866000e+02, 9.31524000e+02, 9.58591000e+02, 9.86067000e+02, 1.01395000e+03, 1.04223000e+03, 1.07092000e+03, 1.10000000e+03]) self["CO2"] = numpy.array([ 375.9234, 375.9232, 375.9219, 375.9195, 375.9172, 375.9142, 375.9041, 375.8819, 375.8607, 375.8617, 375.8997, 375.9717, 376.0398, 376.0858, 376.1489, 376.212 , 376.224 , 376.2321, 376.2481, 376.2772, 376.3252, 376.3663, 376.4023, 376.4224, 376.4504, 376.4865, 376.5545, 376.6335, 376.7605, 376.8966, 377.0446, 377.2036, 377.3766, 377.5606, 377.7106, 377.8485, 378.0765, 378.4945, 378.9365, 379.6475, 380.4225, 381.0245, 381.4085, 381.8025, 381.8315, 381.8625, 381.8985, 381.9405, 381.9845, 382.0364, 382.0903, 382.5651, 383.1618, 383.8894, 384.7668, 385.5962, 386.1156, 386.6532, 386.7607, 386.854 , 386.8701, 386.8645, 386.8732, 386.8913, 386.9157, 386.9449, 386.9669, 386.9788, 386.9602, 386.9034, 386.8186, 386.7075, 386.6086, 386.5187, 386.4681, 386.4315, 386.4595, 386.5189, 386.6375, 386.8447, 387.1073, 387.3124, 387.433 , 387.3937, 387.2297, 386.9659, 386.6525, 386.3522, 386.1188, 385.9826, 385.9361, 385.8209, 385.7317, 385.4548, 385.5337, 385.6074, 385.6771, 385.744 , 385.8082, 385.8699, 385.9291]) self["CO"] = numpy.array([ 0.2205447 , 0.2185316 , 0.2145434 , 0.2078282 , 0.1977631 , 0.1839901 , 0.1511932 , 0.09891954, 0.0827345 , 0.05454007, 0.02926452, 0.01534331, 0.01021024, 0.00922827, 0.00895567, 0.00841368, 0.00791632, 0.0076217 , 0.00749041, 0.00745301, 0.00740799, 0.00741502, 0.00746624, 0.00760092, 0.00775626, 0.00793258, 0.0081303 , 0.00834271, 0.00844155, 0.00854593, 0.00861921, 0.00869836, 0.00895125, 0.009236 , 0.00956421, 0.00993273, 0.01050776, 0.01155325, 0.01277055, 0.01483604, 0.01745463, 0.02009092, 0.02248201, 0.0252159 , 0.0250677 , 0.0249136 , 0.0248554 , 0.0248671 , 0.0248747 , 0.0248604 , 0.02484549, 0.02830606, 0.03349511, 0.03954063, 0.04649641, 0.05393566, 0.05777834, 0.06203953, 0.06291754, 0.06367061, 0.06376177, 0.06365417, 0.06355173, 0.06345124, 0.063449 , 0.06353453, 0.06376724, 0.06416551, 0.06445159, 0.0646028 , 0.06451203, 0.06417925, 0.06369376, 0.06310236, 0.06261609, 0.06216137, 0.06196 , 0.06180874, 0.06178709, 0.06208905, 0.06263239, 0.06350083, 0.06423774, 0.06476787, 0.06481747, 0.06471838, 0.06458966, 0.06447546, 0.06438733, 0.06432344, 0.06428367, 0.06423741, 0.0641983 , 0.06589368, 0.07015209, 0.07475692, 0.0797395 , 0.08513432, 0.09097941, 0.09731644, 0.1041912 ]) self["T"] = numpy.array([ 189.265, 197.336, 211.688, 227.871, 242.446, 252.765, 259.432, 262.908, 263.411, 262.202, 261.422, 259.368, 255.095, 250.075, 244.792, 239.205, 235.817, 231.46 , 227.966, 225.935, 225.115, 222.382, 219.723, 218.152, 217.875, 218.211, 218.288, 218.294, 217.949, 217.202, 216.158, 214.964, 215.259, 215.053, 215.409, 216.081, 216.441, 216.152, 215.427, 215.082, 216.198, 217.247, 217.006, 216.373, 216.342, 217.088, 218.419, 219.839, 220.797, 220.946, 221.423, 222.504, 223.822, 225.134, 226.221, 226.93 , 227.275, 227.405, 227.434, 227.346, 227.212, 227.246, 227.566, 228.2 , 229.083, 230.094, 231.117, 232.121, 233.086, 234.01 , 235.064, 236.351, 237.928, 239.892, 242.039, 244.306, 246.651, 249.025, 251.415, 253.802, 256.16 , 258.448, 260.591, 262.445, 264.071, 265.349, 266.233, 266.969, 267.78 , 268.72 , 269.42 , 270.502, 271.421, 273.317, 273.317, 273.317, 273.317, 273.317, 273.317, 273.317, 273.317]) self["N2O"] = numpy.array([ 0.00161 , 0.00187 , 0.00205999, 0.00220999, 0.00233999, 0.00235999, 0.00157999, 0.00186999, 0.00519997, 0.00870995, 0.00838995, 0.00955994, 0.01208993, 0.01432992, 0.0171399 , 0.02172988, 0.02788985, 0.03756981, 0.04630977, 0.05168975, 0.05680973, 0.05922973, 0.06028973, 0.06131974, 0.07010971, 0.07957968, 0.08867964, 0.09929961, 0.1101496 , 0.1206295 , 0.1301795 , 0.1371795 , 0.1439595 , 0.1505294 , 0.1651494 , 0.1848693 , 0.2034792 , 0.2285391 , 0.252299 , 0.2748389 , 0.2840589 , 0.2926288 , 0.3004188 , 0.3072488 , 0.3129187 , 0.3172487 , 0.3200187 , 0.3209987 , 0.3209987 , 0.3209987 , 0.3209986 , 0.3209984 , 0.3209982 , 0.3209978 , 0.3209973 , 0.3209968 , 0.3209964 , 0.320996 , 0.3209956 , 0.320995 , 0.3209943 , 0.3209938 , 0.3209936 , 0.3209936 , 0.3209939 , 0.3209941 , 0.3209941 , 0.3209941 , 0.3209935 , 0.3209896 , 0.3209797 , 0.3209647 , 0.3209449 , 0.3209225 , 0.3209021 , 0.3208842 , 0.32087 , 0.3208663 , 0.3208701 , 0.3208845 , 0.3209016 , 0.3209026 , 0.3208633 , 0.3207191 , 0.3204841 , 0.320189 , 0.3198736 , 0.3195881 , 0.3193787 , 0.319266 , 0.3192201 , 0.3191182 , 0.3190395 , 0.3188072 , 0.31887 , 0.3189301 , 0.3189878 , 0.3190431 , 0.3190962 , 0.3191472 , 0.3191962 ]) self["O3"] = numpy.array([ 0.1903137 , 0.2192386 , 0.3077081 , 0.5440408 , 0.8590299 , 1.170854 , 1.499102 , 1.864289 , 2.273556 , 2.805293 , 3.409769 , 4.028786 , 4.806182 , 5.619898 , 6.411164 , 7.147361 , 7.51202 , 7.648961 , 7.644362 , 7.556123 , 7.446574 , 7.281136 , 6.952659 , 6.604492 , 6.296854 , 6.008776 , 5.751387 , 5.520268 , 5.311749 , 5.111921 , 4.890092 , 4.593293 , 4.298724 , 3.882905 , 3.380027 , 2.799559 , 2.288161 , 2.031152 , 2.018272 , 2.047542 , 1.969722 , 1.685453 , 1.220825 , 0.9176053 , 0.8929574 , 0.9542592 , 1.004996 , 1.034796 , 1.031726 , 1.019046 , 0.8797071 , 0.6484178 , 0.4105526 , 0.2529783 , 0.1943934 , 0.201197 , 0.2459162 , 0.322179 , 0.3977806 , 0.4292413 , 0.4255834 , 0.3930204 , 0.3461121 , 0.2989281 , 0.2606191 , 0.2321107 , 0.2069452 , 0.1838146 , 0.1618567 , 0.1410414 , 0.1225313 , 0.1061913 , 0.09214328, 0.08133816, 0.07293074, 0.06636085, 0.06143102, 0.05859298, 0.05740586, 0.05732126, 0.05783027, 0.05809797, 0.05651443, 0.05019414, 0.0404447 , 0.03280082, 0.02944741, 0.02902179, 0.02945348, 0.02918976, 0.02836743, 0.02750451, 0.02608958, 0.02225294, 0.02225732, 0.02226152, 0.02226555, 0.02226941, 0.02227312, 0.02227668, 0.02228009]) self["CH4"] = numpy.array([ 0.1059488, 0.1201298, 0.1306706, 0.1417254, 0.1691352, 0.209023 , 0.2345078, 0.2578465, 0.2845033, 0.328699 , 0.3987896, 0.4800421, 0.5668716, 0.6510682, 0.7280449, 0.7954147, 0.8518465, 0.8903115, 0.9281374, 0.9731752, 1.016085 , 1.071595 , 1.131985 , 1.189835 , 1.247015 , 1.302185 , 1.355285 , 1.400504 , 1.442154 , 1.464494 , 1.488464 , 1.514124 , 1.541544 , 1.560774 , 1.579304 , 1.596804 , 1.612894 , 1.627174 , 1.638294 , 1.650024 , 1.662373 , 1.675353 , 1.688973 , 1.722213 , 1.729283 , 1.736683 , 1.741733 , 1.745103 , 1.749093 , 1.755483 , 1.762122 , 1.770021 , 1.77847 , 1.785498 , 1.790785 , 1.795642 , 1.79793 , 1.800308 , 1.800506 , 1.800632 , 1.800498 , 1.800295 , 1.800414 , 1.800704 , 1.800856 , 1.800867 , 1.800517 , 1.799787 , 1.798434 , 1.796372 , 1.794017 , 1.791393 , 1.789133 , 1.787118 , 1.785875 , 1.784886 , 1.784827 , 1.785476 , 1.788046 , 1.791395 , 1.795229 , 1.798224 , 1.800263 , 1.801052 , 1.800931 , 1.80036 , 1.799234 , 1.797877 , 1.796739 , 1.796035 , 1.795827 , 1.795294 , 1.79488 , 1.793604 , 1.793966 , 1.794315 , 1.794639 , 1.794951 , 1.795249 , 1.795536 , 1.795812 ]) self["CTP"] = 500.0 self["CFRACTION"] = 0.0 self["IDG"] = 0 self["ISH"] = 0 self["ELEVATION"] = 0.0 self["S2M"]["T"] = 273.317 self["S2M"]["Q"] = 5619.26541873 self["S2M"]["O"] = 0.022280094739 self["S2M"]["P"] = 905.85559 self["S2M"]["U"] = 0.0 self["S2M"]["V"] = 0.0 self["S2M"]["WFETC"] = 100000.0 self["SKIN"]["SURFTYPE"] = 0 self["SKIN"]["WATERTYPE"] = 1 self["SKIN"]["T"] = 273.317 self["SKIN"]["SALINITY"] = 35.0 self["SKIN"]["FOAM_FRACTION"] = 0.0 self["SKIN"]["FASTEM"] = numpy.array([ 3. , 5. , 15. , 0.1, 0.3]) self["ZENANGLE"] = 0.0 self["AZANGLE"] = 0.0 self["SUNZENANGLE"] = 0.0 self["SUNAZANGLE"] = 0.0 self["LATITUDE"] = 45.309 self["GAS_UNITS"] = 2 self["BE"] = 0.0 self["COSBK"] = 0.0 self["DATE"] = numpy.array([2007, 4, 1]) self["TIME"] = numpy.array([0, 0, 0])

57.508621

92

0.570979

2,008

13,342

3.792331

0.461155

0.008667

0.011031

0.019961

0.013395

0.006303

0

0.701882

0.267126

13,342

231

93

57.757576

0.076907

0.00712

0

0.018819

0.002645

0

1

0

true

0

null

0

1

0

1

0

null

0

1

0

3

0cfe0c2510332685f3cc3783752192ba32a124ab

329

py

Python

PythonExercicios/ex020.py

github-felipe/ExerciciosEmPython-cursoemvideo

0045464a287f21b6245554a975588cf06c5b476d

[ "MIT" ]

null

PythonExercicios/ex020.py

github-felipe/ExerciciosEmPython-cursoemvideo

0045464a287f21b6245554a975588cf06c5b476d

[ "MIT" ]

null

PythonExercicios/ex020.py

github-felipe/ExerciciosEmPython-cursoemvideo

0045464a287f21b6245554a975588cf06c5b476d

[ "MIT" ]

null

from random import shuffle a1 = str(input('Digite o nome de um aluno: ')) a2 = str(input('Digite o nome de outro aluno: ')) a3 = str(input('Digite o nome de mais outro aluno: ')) a4 = str(input('Digite o nome do último aluno: ')) lista = [a1, a2, a3, a4] shuffle(lista) print(f'A ordem de apresentação é: \033[34m{lista}\033[m')

36.555556

58

0.680851

60

329

3.733333

0.5

0.142857

0.25

0.267857

0.366071

0.28125

0

0.058182

0.164134

329

8

59

41.125

0.756364

0

0.519757

0.06383

0

1

0

false

0

0.125

0

0.125

0

null

0

1

0

1

0

null

0

3

0b3f444aab07f3ace7008a9a2f44f279835a4a8e

25,437

py

Python

analyses/seasonality_paper_st/lai_only/shap_interaction/model_analysis_shap_interaction_1.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

analyses/seasonality_paper_st/lai_only/shap_interaction/model_analysis_shap_interaction_1.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

analyses/seasonality_paper_st/lai_only/shap_interaction/model_analysis_shap_interaction_1.py

akuhnregnier/wildfire-analysis

a04deada145cec864051d2fb15aec1a53a0246b9

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os from pathlib import Path from wildfires.utils import handle_array_job_args try: # This will only work after the path modification carried out in the job script. from specific import ( CACHE_DIR, SimpleCache, get_model, data_split_cache, get_shap_values, ) except ImportError: """Not running as an HPC job yet.""" def func(): # Used to re-compute specific failed jobs, `None` otherwise. indices = [ 0, 1, 2, 3, 4, 7, 8, 9, 15, 61, 62, 63, 64, 65, 66, 68, 69, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 92, 93, 102, 103, 119, 120, 121, 122, 123, 128, 129, 130, 132, 169, 170, 171, 172, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 188, 189, 200, 201, 208, 209, 229, 230, 231, 232, 233, 235, 236, 237, 242, 260, 261, 275, 276, 277, 278, 280, 281, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 302, 303, 333, 334, 335, 336, 337, 345, 346, 347, 349, 366, 367, 382, 383, 384, 385, 390, 391, 397, 401, 402, 403, 404, 405, 406, 407, 408, 409, 419, 420, 446, 447, 448, 449, 450, 456, 457, 458, 465, 479, 480, 488, 489, 490, 491, 492, 493, 499, 500, 501, 502, 503, 505, 506, 507, 508, 509, 520, 521, 532, 533, 548, 549, 550, 551, 552, 553, 554, 555, 556, 561, 562, 563, 564, 579, 580, 595, 596, 601, 602, 603, 604, 606, 608, 620, 621, 646, 647, 648, 649, 651, 652, 653, 654, 655, 664, 665, 666, 667, 680, 681, 698, 699, 704, 705, 706, 707, 708, 709, 717, 718, 735, 736, 737, 738, 739, 740, 741, 742, 743, 751, 752, 753, 754, 768, 769, 801, 802, 808, 809, 810, 811, 814, 815, 823, 824, 856, 857, 858, 859, 860, 861, 862, 863, 864, 868, 869, 870, 871, 892, 893, 936, 937, 946, 947, 948, 949, 950, 951, 966, 967, 977, 978, 1001, 1002, 1003, 1004, 1005, 1006, 1008, 1009, 1010, 1013, 1014, 1015, 1016, 1049, 1050, 1054, 1055, 1056, 1057, 1058, 1059, 1064, 1065, 1073, 1074, 1086, 1087, 1088, 1089, 1090, 1091, 1094, 1095, 1096, 1100, 1101, 1102, 1104, 1126, 1128, 1129, 1130, 1131, 1132, 1133, 1139, 1140, 1147, 1148, 1163, 1164, 1165, 1166, 1167, 1168, 1170, 1171, 1172, 1173, 1174, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1217, 1218, 1230, 1231, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1267, 1268, 1275, 1276, 1277, 1281, 1282, 1283, 1284, 1286, 1287, 1294, 1295, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1324, 1325, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1345, 1346, 1360, 1361, 1362, 1363, 1366, 1367, 1368, 1369, 1370, 1380, 1381, 1393, 1394, 1395, 1398, 1403, 1404, 1405, 1406, 1407, 1408, 1411, 1412, 1426, 1427, 1428, 1429, 1430, 1438, 1439, 1449, 1450, 1451, 1452, 1454, 1455, 1456, 1457, 1458, 1459, 1462, 1463, 1471, 1472, 1473, 1474, 1475, 1485, 1486, 1494, 1496, 1497, 1498, 1503, 1504, 1505, 1506, 1507, 1508, 1514, 1515, 1521, 1522, 1529, 1530, 1531, 1536, 1537, 1538, 1540, 1541, 1562, 1564, 1565, 1566, 1572, 1574, 1575, 1576, 1577, 1578, 1579, 1584, 1585, 1591, 1592, 1604, 1605, 1606, 1616, 1617, 1618, 1619, 1620, 1643, 1644, 1645, 1646, 1658, 1659, 1660, 1661, 1662, 1663, 1664, 1672, 1673, 1677, 1678, 1689, 1690, 1691, 1706, 1707, 1708, 1709, 1710, 1737, 1740, 1741, 1742, 1750, 1751, 1752, 1753, 1754, 1755, 1756, 1764, 1765, 1769, 1770, 1776, 1781, 1782, 1791, 1792, 1793, 1794, 1795, 1826, 1827, 1828, 1829, 1836, 1837, 1838, 1839, 1840, 1843, 1844, 1851, 1852, 1855, 1856, 1862, 1863, 1864, 1876, 1877, 1878, 1879, 1880, 1901, 1903, 1904, 1905, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1927, 1928, 1939, 1940, 1957, 1958, 1959, 1962, 1964, 1965, 1966, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1981, 1982, 2004, 2005, 2027, 2028, 2051, 2053, 2054, 2056, 2059, 2060, 2061, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2095, 2096, 2102, 2103, 2131, 2132, 2133, 2134, 2185, 2187, 2188, 2189, 2192, 2193, 2194, 2201, 2202, 2203, 2204, 2205, 2206, 2207, 2222, 2225, 2226, 2235, 2236, 2255, 2256, 2257, 2258, 2313, 2316, 2317, 2320, 2323, 2324, 2326, 2336, 2337, 2338, 2339, 2340, 2341, 2342, 2345, 2350, 2351, 2364, 2365, 2387, 2388, 2389, 2390, 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3696, 3698, 3701, 3708, 3709, 3714, 3715, 3718, 3719, 3740, 3741, 3743, 3745, 3746, 3747, 3748, 3749, 3759, 3791, 3792, 3793, 3794, 3795, 3796, 3798, 3799, 3800, 3801, 3802, 3811, 3812, 3813, 3814, 3815, 3816, 3818, 3826, 3827, 3829, 3830, 3839, 3840, 3856, 3857, 3858, 3859, 3860, 3861, 3872, 3904, 3905, 3907, 3908, 3909, 3910, 3911, 3912, 3913, 3914, 3915, 3916, 3922, 3923, 3924, 3925, 3926, 3927, 3929, 3933, 3934, 3935, 3940, 3941, 3946, 3947, 3969, 3970, 3971, 3972, 3973, 3974, 3975, 3985, 4017, 4020, 4021, 4022, 4023, 4024, 4025, 4026, 4027, 4028, 4029, 4034, 4035, 4036, 4037, 4038, 4039, 4042, 4050, 4051, 4052, 4053, 4054, 4058, 4059, 4069, 4071, 4072, 4073, 4074, 4075, 4076, 4082, 4100, 4102, 4103, 4104, 4105, 4106, 4108, 4109, 4112, 4113, 4114, 4115, 4116, 4117, 4118, 4119, 4120, 4121, 4122, 4127, 4128, 4129, 4130, 4131, 4144, 4145, 4158, 4160, 4161, 4162, 4163, 4164, 4165, 4166, 4172, 4175, 4177, 4178, 4201, 4202, 4203, 4204, 4205, 4206, 4207, 4208, 4210, 4211, 4212, 4213, 4214, 4223, 4224, 4225, 4226, 4227, 4228, 4229, 4234, 4235, 4236, 4237, 4238, 4248, 4261, 4263, 4264, 4265, 4266, 4267, 4268, 4269, 4270, 4285, 4288, 4292, 4298, 4299, 4318, 4322, 4323, 4324, 4325, 4326, 4329, 4330, 4333, 4334, 4336, 4338, 4339, 4340, 4341, 4342, 4345, 4350, 4351, 4352, 4353, 4354, 4366, 4367, 4380, 4382, 4387, 4388, 4389, 4390, 4391, 4392, 4393, 4399, 4403, 4411, 4415, 4416, 4426, 4427, 4444, 4445, 4446, 4447, 4448, 4449, 4450, 4451, 4452, 4453, 4457, 4458, 4459, 4460, 4462, 4464, 4466, 4467, 4475, 4476, 4477, 4478, 4479, 4498, 4499, 4507, 4509, 4510, 4511, 4512, 4513, 4514, 4515, 4524, 4525, 4526, 4533, 4539, 4540, 4549, 4550, 4563, 4566, 4568, 4569, 4570, 4571, 4573, 4574, 4575, 4576, 4578, 4582, 4583, 4584, 4585, 4586, 4587, 4588, 4596, 4597, 4598, 4599, 4600, 4601, 4609, 4610, 4624, 4626, 4627, 4628, 4629, 4630, 4631, 4632, 4638, 4646, 4652, 4653, 4659, 4660, 4669, 4672, 4673, 4674, 4675, 4677, 4678, 4681, 4682, 4683, 4687, 4688, 4689, 4690, 4691, 4692, 4693, 4702, 4703, 4704, 4705, 4706, 4707, 4708, 4723, 4724, 4737, 4739, 4740, 4741, 4742, 4743, 4744, 4745, 4746, 4759, 4768, 4772, 4773, 4779, 4795, 4801, 4802, 4803, 4804, 4806, 4807, 4809, 4810, 4812, 4820, 4821, 4822, 4823, 4825, 4826, 4828, 4829, 4838, 4839, 4840, 4841, 4842, 4843, 4844, 4845, 4858, 4859, 4890, 4891, 4892, 4894, 4895, 4896, 4897, 4898, 4899, 4900, 4911, 4912, 4913, 4915, 4921, 4924, 4925, 4935, 4936, 4957, 4959, 4960, 4961, 4962, 4964, 4965, 4966, 4967, 4969, 4970, 4973, 4977, 4978, 4979, 4980, 4981, 4982, 4990, 4991, 4992, 4993, 4994, 4996, 4997, 4998, 5025, 5028, 5031, 5032, 5033, 5034, 5035, 5036, 5037, 5045, 5046, 5047, 5049, 5054, 5055, 5059, 5060, 5071, 5072, 5105, 5107, 5108, 5109, 5110, 5116, 5118, 5119, 5120, 5122, 5123, 5124, 5126, 5127, 5128, 5137, 5138, 5139, 5140, 5141, 5142, 5143, 5144, 5174, 5176, 5178, 5179, 5180, 5181, 5182, 5183, 5184, 5188, 5189, 5195, 5200, 5201, 5202, 5205, 5206, 5207, 5208, 5213, 5214, 5232, 5233, 5234, 5235, 5236, 5237, 5238, 5239, 5240, 5241, 5242, 5245, 5248, 5249, 5250, 5253, 5254, 5256, 5260, 5261, 5262, 5263, 5264, 5266, 5267, 5268, 5289, 5290, 5292, 5293, 5294, 5295, 5296, 5297, 5298, 5299, 5300, 5306, 5308, 5309, 5310, 5319, 5320, 5327, 5328, 5339, 5340, 5352, 5353, 5354, 5355, 5356, 5357, 5358, 5359, 5361, 5366, 5367, 5368, 5369, 5370, 5371, 5376, 5380, 5381, 5382, 5383, 5384, 5385, 5386, 5387, 5418, 5419, 5421, 5422, 5423, 5424, 5425, 5426, 5427, 5430, 5431, 5438, 5439, 5440, 5441, 5448, 5449, 5454, 5455, 5460, 5461, 5482, 5483, 5484, 5485, 5486, 5488, 5489, 5490, 5491, 5499, 5500, 5501, 5502, 5503, 5504, 5511, 5515, 5516, 5517, 5518, 5519, 5520, 5521, 5522, 5538, 5556, 5557, 5559, 5560, 5561, 5562, 5563, 5564, 5565, 5570, 5571, 5577, 5579, 5580, 5582, 5587, 5588, 5592, 5593, 5601, 5627, 5628, 5629, 5630, 5631, 5633, 5634, 5635, 5636, 5639, 5640, 5641, 5643, 5644, 5645, 5652, 5653, 5654, 5655, 5656, 5657, 5658, 5659, 5660, 5672, 5696, 5697, 5698, 5700, 5701, 5702, 5703, 5704, 5705, 5706, 5710, 5711, 5715, 5716, 5717, 5719, 5723, 5724, 5727, 5728, 5738, 5764, 5765, 5766, 5767, 5769, 5770, 5771, 5772, 5782, 5783, 5784, 5786, 5787, 5788, 5794, 5798, 5799, 5800, 5801, 5802, 5803, 5804, 5805, 5815, 5816, 5837, 5838, 5839, 5840, 5842, 5843, 5844, 5845, 5846, 5847, 5848, 5850, 5851, 5855, 5857, 5858, 5860, 5871, 5872, 5874, 5875, 5899, 5900, 5901, 5902, 5905, 5906, 5907, 5908, 5913, 5914, 5915, 5916, 5917, 5918, 5920, 5926, 5927, 5928, 5929, 5930, 5931, 5932, 5933, 5940, 5941, 5963, 5964, 5965, 5966, 5967, 5968, 5969, 5970, 5972, 5973, 5974, 5975, 5976, 5978, 5979, 5982, 5983, 5990, 5994, 5995, 5997, ] index = int(os.environ["PBS_ARRAY_INDEX"]) if indices is not None: index = indices[index] print("Index:", index) X_train, X_test, y_train, y_test = data_split_cache.load() rf = get_model() job_samples = 50 tree_path_dependent_shap_interact_cache = SimpleCache( f"tree_path_dependent_shap_interact_{index}_{job_samples}", cache_dir=os.path.join(CACHE_DIR, "shap_interaction"), ) @tree_path_dependent_shap_interact_cache def cached_get_interact_shap_values(model, X): return get_shap_values(model, X, interaction=True) cached_get_interact_shap_values( rf, X_train[index * job_samples : (index + 1) * job_samples] ) if __name__ == "__main__": handle_array_job_args( Path(__file__).resolve(), func, ncpus=1, mem="7gb", walltime="11:00:00", max_index=1734, )

14.16314

84

0.298306

1,926

25,437

3.904465

0.949637

0.005319

0.006782

0.008378

0.02008

0.009043

0

0.704385

0.627904

25,437

1,795

85

14.171031

0.090122

0.007116

0

0.004402

0.002181

0

1

0.001126

false

0

0.002815

0.000563

0.004505

0.000563

0

null

0

1

0

1

0

null

0

3

0b4cc6aa957df616a9c14313fa9b9ee7ec6d0837

1,434

py

Python

calculators/static_dipolar_couplings/dcc.py

jlorieau/nmr

15224342a9277da8b02e10027644c86ac3769db1

[ "MIT" ]

null

calculators/static_dipolar_couplings/dcc.py

jlorieau/nmr

15224342a9277da8b02e10027644c86ac3769db1

[ "MIT" ]

null

calculators/static_dipolar_couplings/dcc.py

jlorieau/nmr

15224342a9277da8b02e10027644c86ac3769db1

[ "MIT" ]

null

from math import pi u0 = 4.*pi*1E-7 # T m /A hbar = 1.0545718E-34 # J s # 1 T = kg s^-2 A-1 = J A^-1 m^-2 g = { '1H' : 267.513E6, # rad T^-1 s^-1 '13C': 67.262E6, '15N': -27.116E6, 'e': 176086E6 } # nuc_i, nuc_j: nucleus string. ex: '1H' # r_ij: distance in Angstroms DCC = lambda nuc_i, nuc_j, r_ij: -1.*(u0*g[nuc_i]*g[nuc_j]*hbar)/(4.*pi*(r_ij*1E-10)**3) print('-'*30) print('1H-15N (1.02A): {:> 8.1f} Hz'.format(DCC('1H','15N', 1.02)/(2.*pi), 'Hz')) print('1H-15N (1.04A): {:> 8.1f} Hz'.format(DCC('1H','15N', 1.04)/(2.*pi), 'Hz')) print('-'*30) print('1H-13C (1.1A): {:> 8.1f} Hz'.format(DCC('1H','13C', 1.1)/(2.*pi), 'Hz')) print('-'*30) print('1H-1H (1.00A): {:> 8.1f} Hz'.format(DCC('1H','1H', 1.0)/(2.*pi), 'Hz')) print('1H-1H (2.4A): {:> 8.1f} Hz'.format(DCC('1H','1H', 2.4)/(2.*pi), 'Hz')) print('1H-1H (2.8A): {:> 8.1f} Hz'.format(DCC('1H','1H', 2.8)/(2.*pi), 'Hz')) print('-'*30) print('13C-13C (1.53A): {:> 8.1f} Hz'.format(DCC('13C','13C', 1.53)/(2.*pi), 'Hz')) print('-'*30) print('1H-e (1A): {:> 8.1f} MHz'.format(DCC('1H','e', 1.0)/(1E6*2.*pi), 'Hz')) print('1H-e (5A): {:> 8.1f} kHz'.format(DCC('1H','e', 5.0)/(1E3*2.*pi), 'Hz')) print('1H-e (10A): {:> 8.1f} kHz'.format(DCC('1H','e', 10.0)/(1E3*2.*pi), 'Hz')) print('1H-e (50A): {:> 8.1f} kHz'.format(DCC('1H','e', 50.0)/(1E3*2.*pi), 'Hz')) print('1H-e (100A): {:> 8.1f} Hz'.format(DCC('1H','e', 100.0)/(2.*pi), 'Hz')) print('-'*30)

34.142857

89

0.502092

299

1,434

2.377926

0.247492

0.050633

0.084388

0.168776

0.548523

0.492264

0.405063

0.181435

0

0.177885

0.129707

1,434

41

90

34.97561

0.391827

0.085774

0

0.214286

0

0.307515

0

1

0

false

0

0.035714

0

0.035714

0.642857

0

null

0

1

0

1

0

null

0

1

0

3

0b7345be2719bd8b7fdccdbf2d4ec3d3cec346b7

314

py

Python

Lower_Upper_Counter/Lower_Upper_Counter.py

GracjanBuczek/Python

655801ae58ed7ef21f7da2f69f649c556b20aaee

[ "MIT" ]

null

Lower_Upper_Counter/Lower_Upper_Counter.py

GracjanBuczek/Python

655801ae58ed7ef21f7da2f69f649c556b20aaee

[ "MIT" ]

null

Lower_Upper_Counter/Lower_Upper_Counter.py

GracjanBuczek/Python

655801ae58ed7ef21f7da2f69f649c556b20aaee

[ "MIT" ]

null

x = input("Enter sentence: ") count={"Uppercase":0, "Lowercase":0} for i in x: if i.isupper(): count["Uppercase"]+=1 elif i.islower(): count["Lowercase"]+=1 else: pass print ("There is:", count["Uppercase"], "uppercases.") print ("There is:", count["Lowercase"], "lowercases.")

26.166667

54

0.582803

39

314

4.692308

0.589744

0.229508

0.131148

0.185792

0

0.016064

0.207006

314

11

55

28.545455

0.718876

0

0.350318

0

1

0

false

0.090909

0

0.181818

0

null

1

0

1

0

null

0

1

0

3

0b8b1ecbeb3c81d6b86bae93b7d7c89aca388a29

893

py

Python

mapclientplugins/loadcsvstep/utils/processCSV.py

mahyar-osn/mapclientplugins.loadcsvstep

2d483d4054f4c30247303e8d4eba706b70364158

[ "Apache-2.0" ]

null

mapclientplugins/loadcsvstep/utils/processCSV.py

mahyar-osn/mapclientplugins.loadcsvstep

2d483d4054f4c30247303e8d4eba706b70364158

[ "Apache-2.0" ]

null

mapclientplugins/loadcsvstep/utils/processCSV.py

mahyar-osn/mapclientplugins.loadcsvstep

2d483d4054f4c30247303e8d4eba706b70364158

[ "Apache-2.0" ]

null

import pandas as pd class ProcessCSV: """ A general class to read in and process a csv format file using pandas. """ def __init__(self, filename, delim=',', header=None, usecols=None, dtype=None, ignore=False, *args): self._filename = filename self._args = args self._df = self._readFile(delim=delim, header=header, usecols=usecols, dtype=dtype, ignore=ignore) def _readFile(self, delim=',', header=None, usecols=None, dtype=None, ignore=False): df = pd.read_csv(self._filename, sep=delim, header=header, usecols=usecols, dtype=dtype) if ignore: df.dropna(how="all", inplace=True) return df.fillna(0) def getCoordinates(self): return self._df[['map X', 'map Y', 'map Z']] def getGene(self): return self._df.iloc[:, 8:] def getID(self): return self._df['Sample Name']

28.806452

106

0.631579

120

893

4.583333

0.433333

0.08

0.076364

0.087273

0.316364

0.167273

0

0.002924

0.234043

893

30

107

29.766667

0.80117

0.078387

0

0.038605

0

1

0.294118

false

0

0.058824

0.176471

0.647059

0

null

0

null

0

1

0

1

0

3

0b96aaa21f422ac0c7d22576279c69b61dd42c95

154

py

Python

Test/two/payments/momo/urls.py

titan256/Python-Django-Assignment

9f56f69ea7182456729116e27435231925d24d11

[ "MIT" ]

null

Test/two/payments/momo/urls.py

titan256/Python-Django-Assignment

9f56f69ea7182456729116e27435231925d24d11

[ "MIT" ]

9

2020-06-05T23:53:04.000Z

2022-02-10T08:33:32.000Z

Test/two/payments/momo/urls.py

titan256/Python-Django-Assignment

9f56f69ea7182456729116e27435231925d24d11

[ "MIT" ]

null

from django.contrib import admin from django.urls import path , include from . import views urlpatterns = [ path('',views.index,name='index') ]

19.25

38

0.701299

20

154

5.4

0.6

0.185185

0

0.188312

154

8

39

19.25

0.864

0

0.032258

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

0bb9728183f6cd95e86f2c16d976742c14283f39

149

py

Python

api/urls.py

kirklennon/Clickbait

9ce97d38b3dce78ce151b285a0cc55ddbb7b58be

[ "MIT" ]

1

2020-08-29T09:31:22.000Z

api/urls.py

kirklennon/Clickbait

9ce97d38b3dce78ce151b285a0cc55ddbb7b58be

[ "MIT" ]

null

api/urls.py

kirklennon/Clickbait

9ce97d38b3dce78ce151b285a0cc55ddbb7b58be

[ "MIT" ]

null

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

21.285714

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0.644295

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149

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7

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21.285714

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null

0

1

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null

0

1

0

3

0bc0b1a713ee07a7da22300f41d7eef91e9cf3f3

1,621

py

Python

games/migrations/0004_auto_20150726_1430.py

rnelson/library

5f327c188f2847151dcfc92de0dc4f43f24096bf

[ "MIT" ]

null

games/migrations/0004_auto_20150726_1430.py

rnelson/library

5f327c188f2847151dcfc92de0dc4f43f24096bf

[ "MIT" ]

null

games/migrations/0004_auto_20150726_1430.py

rnelson/library

5f327c188f2847151dcfc92de0dc4f43f24096bf

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('games', '0003_auto_20150725_1737'), ] operations = [ migrations.AlterField( model_name='game', name='description', field=models.TextField(null=True), ), migrations.AlterField( model_name='game', name='max_players', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='game', name='max_time', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='game', name='min_players', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='game', name='min_time', field=models.IntegerField(null=True), ), migrations.AlterField( model_name='game', name='name', field=models.CharField(max_length=255), ), migrations.AlterField( model_name='game', name='url', field=models.URLField(null=True), ), migrations.AlterField( model_name='publisher', name='country', field=models.CharField(max_length=2, null=True), ), migrations.AlterField( model_name='publisher', name='url', field=models.URLField(null=True), ), ]

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5.929078

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0.215311

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0

null

1

0

null

0

3

f00939c44715cbb46e21a3b0bd4e2b066d1b7f29

2,549

py

Python

extras/pyrepl/console.py

dillionhacker/python222

205414c33fba8166167fd8a6a03eda1a68f16316

[ "Apache-2.0" ]

1

2019-05-27T00:58:46.000Z

extras/pyrepl/console.py

tuankien2601/python222

205414c33fba8166167fd8a6a03eda1a68f16316

[ "Apache-2.0" ]

null

extras/pyrepl/console.py

tuankien2601/python222

205414c33fba8166167fd8a6a03eda1a68f16316

[ "Apache-2.0" ]

null

# Copyright 2000-2004 Michael Hudson mwh@python.net # # All Rights Reserved # # # Permission to use, copy, modify, and distribute this software and # its documentation for any purpose is hereby granted without fee, # provided that the above copyright notice appear in all copies and # that both that copyright notice and this permission notice appear in # supporting documentation. # # THE AUTHOR MICHAEL HUDSON DISCLAIMS ALL WARRANTIES WITH REGARD TO # THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY # AND FITNESS, IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, # INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER # RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF # CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN # CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. class Event: """An Event. `evt' is 'key' or somesuch.""" def __init__(self, evt, data, raw=''): self.evt = evt self.data = data self.raw = raw def __repr__(self): return 'Event(%r, %r)'%(self.evt, self.data) class Console: """Attributes: screen, height, width, """ def refresh(self, screen, xy): pass def prepare(self): pass def restore(self): pass def move_cursor(self, x, y): pass def set_cursor_vis(self, vis): pass def getheightwidth(self): """Return (height, width) where height and width are the height and width of the terminal window in characters.""" pass def get_event(self, block=1): """Return an Event instance. Returns None if |block| is false and there is no event pending, otherwise waits for the completion of an event.""" pass def beep(self): pass def clear(self): """Wipe the screen""" pass def finish(self): """Move the cursor to the end of the display and otherwise get ready for end. XXX could be merged with restore? Hmm.""" pass def flushoutput(self): """Flush all output to the screen (assuming there's some buffering going on somewhere).""" pass def forgetinput(self): """Forget all pending, but not yet processed input.""" pass def getpending(self): """Return the characters that have been typed but not yet processed.""" pass def wait(self): """Wait for an event.""" pass

27.117021

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false

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null

0

1

0

1

0

1

0

3

f015bf5e2e71b04cd941a3ba7f14c687b44c2b00

263

py

Python

apps/transactions/__init__.py

lsdlab/djshop_toturial

6d450225cc05e6a1ecd161de2b522e1af0b68cc0

[ "MIT" ]

null

apps/transactions/__init__.py

lsdlab/djshop_toturial

6d450225cc05e6a1ecd161de2b522e1af0b68cc0

[ "MIT" ]

6

2020-06-07T15:18:58.000Z

2021-09-22T19:07:33.000Z

apps/transactions/__init__.py

lsdlab/djshop_toturial

6d450225cc05e6a1ecd161de2b522e1af0b68cc0

[ "MIT" ]

null

from django.apps import AppConfig class TransactionsConfig(AppConfig): name = 'apps.transactions' verbose_name = "Transactions" def ready(self): import apps.transactions.signals default_app_config = 'apps.transactions.TransactionsConfig'

20.230769

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0.752852

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263

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263

12

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21.916667

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0.247148

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0

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1

0

null

1

0

null

0

1

0

3

f01e36c7e52b2f29e3153f9812f722135e5763dd

2,483

py

Python

Curso em Video/D_045.py

tonmarcondes/UNIVESP

a66a623d4811e8f3f9e2999f09e38a4470035ae2

[ "MIT" ]

null

Curso em Video/D_045.py

tonmarcondes/UNIVESP

a66a623d4811e8f3f9e2999f09e38a4470035ae2

[ "MIT" ]

null

Curso em Video/D_045.py

tonmarcondes/UNIVESP

a66a623d4811e8f3f9e2999f09e38a4470035ae2

[ "MIT" ]

null

import random cor = { 'fim':'\033[m', 'amarelo':'\033[1;033m', 'vermelho':'\033[1;031m', 'vermelhof':'\033[7;031m', 'azul':'\033[1;034m', 'verde':'\033[1;32m', 'verdef':'\033[7;32m', 'branco':'\033[1;030m' } print(''' Escolha uma das opções abaixo: \t {}1{} {}PEDRA{}: \t {}2{} {}PAPEL{}: \t {}3{} {}TESOURA{}:'''.format( cor['vermelho'], cor['fim'], cor['azul'], cor['fim'], cor['vermelho'], cor['fim'], cor['azul'], cor['fim'], cor['vermelho'], cor['fim'], cor['azul'], cor['fim'] )) eu = int(input('\t ')) if eu == 1: me = 'PEDRA' elif eu == 2: me = 'PAPEL' else: me = 'TESOURA' pc = ['PEDRA', 'PAPEL', 'TESOURA'] random.shuffle(pc) if eu < 1 or eu > 3: print('\n\t\t{}ESCOLHA UM VALOR VÁLIDO{}\n'.format(cor['vermelho'], cor['fim'])) elif eu == 1 and pc[0] == 'PEDRA' or eu == 2 and pc[0] == 'PAPEL' or eu == 3 and pc[0] == 'TESOURA': print('{}EU{}: {}\t\t{}PC{}: {}'.format(cor['vermelho'], cor['fim'], me, cor['vermelho'], cor['fim'], pc[0])) print('{} EMPATE, JOGUE OUTRA VEZ {}\n'.format(cor['vermelhof'], cor['fim'])) elif eu == 1 and pc[0] == 'PAPEL': print('{}EU{}: {}\t\t{}PC{}: {}'.format(cor['vermelho'], cor['fim'], me, cor['vermelho'], cor['fim'], pc[0])) print('PAPEL {}EMBRULHA{} PEDRA\n'.format(cor['amarelo'], cor['fim'])) elif eu == 1 and pc[0] == 'PAPEL': print('{}EU{}: {}\t\t{}PC{}: {}'.format(cor['vermelho'], cor['fim'], me, cor['vermelho'], cor['fim'], pc[0])) print('PEDRA {}QUEBRA{} TESOURA\n'.format(cor['amarelo'], cor['fim'])) elif eu == 2 and pc[0] == 'PEDRA': print('{}EU{}: {}\t\t{}PC{}: {}'.format(cor['vermelho'], cor['fim'], me, cor['vermelho'], cor['fim'], pc[0])) print('PAPEL {}EMBRULHA{} PEDRA\n'.format(cor['amarelo'], cor['fim'])) elif eu == 2 and pc[0] == 'TESOURA': print('{}EU{}: {}\t\t{}PC{}: {}'.format(cor['vermelho'], cor['fim'], me, cor['vermelho'], cor['fim'], pc[0])) print('TESOURA {}CORTA{} PAPEL\n'.format(cor['amarelo'], cor['fim'])) elif eu == 3 and pc[0] == 'PEDRA': print('{}EU{}: {}\t\t{}PC{}: {}'.format(cor['vermelho'], cor['fim'], me, cor['vermelho'], cor['fim'], pc[0])) print('PEDRA {}QUEBRA{} TESOURA\n'.format(cor['amarelo'], cor['fim'])) else: print('{}EU{}: {}\t\t{}PC{}: {}'.format(cor['vermelho'], cor['fim'], me, cor['vermelho'], cor['fim'], pc[0])) print('TESOURA {}CORTA{} PAPEL\n'.format(cor['amarelo'], cor['fim']))

42.084746

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0.515103

365

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0.153425

0.136044

0.197029

0.239249

0.724003

0.695856

0.67631

0

0.038854

0.170761

2,483

58

115

42.810345

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0

null

0

1

0

1

0

null

0

3

f022af95545ca83849a19b9cfbeb75f2ed9c4fd0

181

py

Python

transitfeed_web/__init__.py

ed-g/transitfeed_web

1e9be7152823641c450612b27cace99a1efe0b4f

[ "Apache-2.0" ]

null

transitfeed_web/__init__.py

ed-g/transitfeed_web

1e9be7152823641c450612b27cace99a1efe0b4f

[ "Apache-2.0" ]

null

transitfeed_web/__init__.py

ed-g/transitfeed_web

1e9be7152823641c450612b27cace99a1efe0b4f

[ "Apache-2.0" ]

null

#!/usr/bin/env python2 import sys import transitfeed import run_transitfeed_web_server import util def main(): print ("Hello, world.") if __name__ == '__main__': main()

12.928571

33

0.707182

24

181

4.875

0.75

0

0.006711

0.176796

181

13

34

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0.778523

0.116022

0

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1

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true

0

0.5

0

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1

0

null

0

null

0

1

0

1

0

3

f023dd97d1d559d5d0d17b6855fef5c568625d43

236

py

Python

loadenv.py

Natsu-dev/otenki

d962d44737a68a4751fd58051a670be4ecf852ce

[ "MIT" ]

null

loadenv.py

Natsu-dev/otenki

d962d44737a68a4751fd58051a670be4ecf852ce

[ "MIT" ]

null

loadenv.py

Natsu-dev/otenki

d962d44737a68a4751fd58051a670be4ecf852ce

[ "MIT" ]

null

import os from os.path import join, dirname from dotenv import load_dotenv load_dotenv(verbose=True) dotenv_path = join(dirname(__file__), '.env') load_dotenv(verbose=True, dotenv_path=dotenv_path) TOKEN = os.getenv('DISCORD_TOKEN')

21.454545

50

0.792373

36

236

4.888889

0.416667

0.170455

0.193182

0.238636

0.352273

0

0.101695

236

10

51

23.6

0.830189

0

0.072034

0

1

0

false

0

0.428571

0

0.428571

0

null

0

1

0

null

0

1

0

3

f029112ff9d652c6d8e36f9059cb703264d4ebbd

739

py

Python

Hartree-Fock_H2/utils.py

WonhoZhung/CH502

c64a174fe7218e6e86c84c73e6df441fb5074211

[ "MIT" ]

null

Hartree-Fock_H2/utils.py

WonhoZhung/CH502

c64a174fe7218e6e86c84c73e6df441fb5074211

[ "MIT" ]

null

Hartree-Fock_H2/utils.py

WonhoZhung/CH502

c64a174fe7218e6e86c84c73e6df441fb5074211

[ "MIT" ]

null

#---------------------------------------------------------------------- # Basis Set Exchange # Version v0.8.13 # https://www.basissetexchange.org #---------------------------------------------------------------------- # Basis set: STO-3G # Description: STO-3G Minimal Basis (3 functions/AO) # Role: orbital # Version: 1 (Data from Gaussian09) #---------------------------------------------------------------------- # BASIS "ao basis" PRINT # #BASIS SET: (3s) -> [1s] # H S # 0.3425250914E+01 0.1543289673E+00 # 0.6239137298E+00 0.5353281423E+00 # 0.1688554040E+00 0.4446345422E+00 # END A_LIST = [3.425250914 , 0.6239137298, 0.1688554040] D_LIST = [0.1543289673, 0.5353281423, 0.4446345422]

35.190476

71

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75

739

4.506667

0.64

0.035503

0

0.248796

0.156969

739

20

72

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0.29374

0.810555

0

1

0

false

0

null

0

1

0

1

0

null

0

3

f02f263b4792b69303bcdec39c484284dc805802

1,221

py

Python

src/prefect/engine/result_handlers/secret_result_handler.py

trapped/prefect

128f11570c35e7156d65ba65fdcbc1f4ccd7c2b7

[ "Apache-2.0" ]

1

2019-12-20T07:43:55.000Z

src/prefect/engine/result_handlers/secret_result_handler.py

trapped/prefect

128f11570c35e7156d65ba65fdcbc1f4ccd7c2b7

[ "Apache-2.0" ]

null

src/prefect/engine/result_handlers/secret_result_handler.py

trapped/prefect

128f11570c35e7156d65ba65fdcbc1f4ccd7c2b7

[ "Apache-2.0" ]

null

import json from typing import Any import prefect from prefect.engine.result_handlers import ResultHandler class SecretResultHandler(ResultHandler): """ Hook for storing and retrieving sensitive task results from a Secret store. Only intended to be used for Secret tasks. Args: - secret_task (Task): the Secret Task that this result handler will be used for """ def __init__(self, secret_task: "prefect.tasks.secrets.Secret") -> None: self.secret_task = secret_task super().__init__() def read(self, name: str) -> Any: """ Read a secret from a provided name with the provided Secret class; this method actually retrieves the secret from the Secret store. Args: - name (str): the name of the secret to retrieve Returns: - Any: the deserialized result """ return self.secret_task.run() # type: ignore def write(self, result: Any) -> str: """ Returns the name of the secret. Args: - result (Any): the result to write Returns: - str: the JSON representation of the result """ return self.secret_task.name

27.133333

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0.626536

152

1,221

4.934211

0.388158

0.093333

0.074667

0.032

0.117333

0

0.299754

1,221

44

105

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0.877193

0.489762

0

0.0587

0

1

0.25

false

0

0.333333

0

0.833333

0

null

0

null

0

1

0

1

0

1

0

3

f03f530e1dc98bcc4544ec79667fa0181fc768d4

373

py

Python

tests/data_elements/test_other_double.py

GalBenZvi/dicom_parser

fc3e892ebf99c4e5d62cb5e7de7df341baf445fe

[ "MIT" ]

11

2020-08-08T21:41:54.000Z

2021-07-27T12:48:31.000Z

tests/data_elements/test_other_double.py

GalBenZvi/dicom_parser

fc3e892ebf99c4e5d62cb5e7de7df341baf445fe

[ "MIT" ]

45

2020-03-03T14:32:16.000Z

2021-07-30T16:42:17.000Z

tests/data_elements/test_other_double.py

GalBenZvi/dicom_parser

fc3e892ebf99c4e5d62cb5e7de7df341baf445fe

[ "MIT" ]

6

2021-10-19T09:19:22.000Z

2022-03-13T19:26:10.000Z

""" Definition of the :class:`OtherDoubleTestCase` class. """ from dicom_parser.data_elements.other_double import OtherDouble from tests.test_data_element import DataElementTestCase class OtherDoubleTestCase(DataElementTestCase): """ Tests for the :class:`~dicom_parser.data_elements.other_double.OtherDouble` class. """ TEST_CLASS = OtherDouble

23.3125

65

0.766756

40

373

6.925

0.475

0.057762

0.108303

0.166065

0.245487

0

0.144772

373

15

66

24.866667

0.868339

0.364611

0

1

0

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

3

f076d7596035ea99f16b2ee688410ac4e2c0be9a

2,292

py

Python

tests/coro.py

dshean/sliderule-python

3cf9a6c65987705354cb536d71f85a32fbb24d15

[ "BSD-3-Clause" ]

1

2021-04-09T22:01:33.000Z

tests/coro.py

dshean/sliderule-python

3cf9a6c65987705354cb536d71f85a32fbb24d15

[ "BSD-3-Clause" ]

null

tests/coro.py

dshean/sliderule-python

3cf9a6c65987705354cb536d71f85a32fbb24d15

[ "BSD-3-Clause" ]

null

# python import sys import h5coro ############################################################################### # DATA ############################################################################### # set resource resource = "file:///data/ATLAS/ATL06_20200714160647_02950802_003_01.h5" # expected single read h_li_exp_1 = [3432.17578125, 3438.776611328125, 3451.01123046875, 3462.688232421875, 3473.559326171875] # expected parallel read h_li_exp_2 = { '/gt1l/land_ice_segments/h_li': [3432.17578125, 3438.776611328125, 3451.01123046875, 3462.688232421875, 3473.559326171875], '/gt2l/land_ice_segments/h_li': [3263.659912109375, 3258.362548828125, 3.4028234663852886e+38, 3233.031494140625, 3235.200927734375], '/gt3l/land_ice_segments/h_li': [3043.489013671875, 3187.576171875, 3.4028234663852886e+38, 4205.04248046875, 2924.724365234375]} ############################################################################### # UTILITY FUNCTIONS ############################################################################### def check_results(act, exp): if type(exp) == dict: for dataset in exp: for i in range(len(exp[dataset])): if exp[dataset][i] != act[dataset][i]: print("Failed parallel read test") return False print("Passed parallel read test") return True else: for i in range(len(exp)): if exp[i] != act[i]: print("Failed single read test") return False print("Passed single read test") return True ############################################################################### # MAIN ############################################################################### if __name__ == '__main__': # Open H5Coro File # h5file = h5coro.file(resource) # Perform Single Read # h_li_1 = h5file.read("/gt1l/land_ice_segments/h_li", 0, 19, 5) check_results(h_li_1, h_li_exp_1) # Perform Parallel Read # datasets = [["/gt1l/land_ice_segments/h_li", 0, 19, 5], ["/gt2l/land_ice_segments/h_li", 0, 19, 5], ["/gt3l/land_ice_segments/h_li", 0, 19, 5]] h_li_2 = h5file.readp(datasets) check_results(h_li_2, h_li_exp_2)

38.2

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0.505236

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2,292

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0.136116

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0.193717

2,292

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0.125

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0

1

0

1

0

null

0

1

0

3

b2cabd96c3fc001d2729753488a402fc76f755f0

8,187

py

Python

tests/test_skipping.py

pytask-dev/pytask

b6769b48abda44c6261b9a7b58865f8844423c13

[ "MIT" ]

41

2020-07-24T15:19:19.000Z

2022-03-17T17:40:57.000Z

tests/test_skipping.py

pytask-dev/pytask

b6769b48abda44c6261b9a7b58865f8844423c13

[ "MIT" ]

240

2020-06-26T21:37:49.000Z

2022-03-31T08:56:56.000Z

tests/test_skipping.py

pytask-dev/pytask

b6769b48abda44c6261b9a7b58865f8844423c13

[ "MIT" ]

null

import textwrap from contextlib import ExitStack as does_not_raise # noqa: N813 import pytest from _pytask.mark import Mark from _pytask.outcomes import Skipped from _pytask.outcomes import SkippedAncestorFailed from _pytask.outcomes import SkippedUnchanged from _pytask.skipping import pytask_execute_task_setup from pytask import cli from pytask import main class DummyClass: pass @pytest.mark.end_to_end def test_skip_unchanged(tmp_path): source = """ def task_dummy(): pass """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) session = main({"paths": tmp_path}) assert session.execution_reports[0].success session = main({"paths": tmp_path}) assert isinstance(session.execution_reports[0].exc_info[1], SkippedUnchanged) @pytest.mark.end_to_end def test_skip_unchanged_w_dependencies_and_products(tmp_path): source = """ import pytask @pytask.mark.depends_on("in.txt") @pytask.mark.produces("out.txt") def task_dummy(depends_on, produces): produces.write_text(depends_on.read_text()) """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) tmp_path.joinpath("in.txt").write_text("Original content of in.txt.") session = main({"paths": tmp_path}) assert session.execution_reports[0].success assert tmp_path.joinpath("out.txt").read_text() == "Original content of in.txt." session = main({"paths": tmp_path}) assert isinstance(session.execution_reports[0].exc_info[1], SkippedUnchanged) assert tmp_path.joinpath("out.txt").read_text() == "Original content of in.txt." @pytest.mark.end_to_end def test_skipif_ancestor_failed(tmp_path): source = """ import pytask @pytask.mark.produces("out.txt") def task_first(): assert 0 @pytask.mark.depends_on("out.txt") def task_second(): pass """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) session = main({"paths": tmp_path}) assert not session.execution_reports[0].success assert isinstance(session.execution_reports[0].exc_info[1], Exception) assert not session.execution_reports[1].success assert isinstance(session.execution_reports[1].exc_info[1], SkippedAncestorFailed) @pytest.mark.end_to_end def test_if_skip_decorator_is_applied_to_following_tasks(tmp_path): source = """ import pytask @pytask.mark.skip @pytask.mark.produces("out.txt") def task_first(): assert 0 @pytask.mark.depends_on("out.txt") def task_second(): pass """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) session = main({"paths": tmp_path}) assert session.execution_reports[0].success assert isinstance(session.execution_reports[0].exc_info[1], Skipped) assert session.execution_reports[1].success assert isinstance(session.execution_reports[1].exc_info[1], Skipped) @pytest.mark.end_to_end @pytest.mark.parametrize( "mark_string", ["@pytask.mark.skip", "@pytask.mark.skipif(True, reason='bla')"] ) def test_skip_if_dependency_is_missing(tmp_path, mark_string): source = f""" import pytask {mark_string} @pytask.mark.depends_on("in.txt") def task_first(): assert 0 """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) session = main({"paths": tmp_path}) assert session.execution_reports[0].success assert isinstance(session.execution_reports[0].exc_info[1], Skipped) @pytest.mark.end_to_end @pytest.mark.parametrize( "mark_string", ["@pytask.mark.skip", "@pytask.mark.skipif(True, reason='bla')"] ) def test_skip_if_dependency_is_missing_only_for_one_task(runner, tmp_path, mark_string): source = f""" import pytask {mark_string} @pytask.mark.depends_on("in.txt") def task_first(): assert 0 @pytask.mark.depends_on("in.txt") def task_second(): assert 0 """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) result = runner.invoke(cli, [tmp_path.as_posix()]) assert result.exit_code == 4 assert "in.txt" in result.output assert "task_first" not in result.output assert "task_second" in result.output @pytest.mark.end_to_end def test_if_skipif_decorator_is_applied_skipping(tmp_path): source = """ import pytask @pytask.mark.skipif(condition=True, reason="bla") @pytask.mark.produces("out.txt") def task_first(): assert False @pytask.mark.depends_on("out.txt") def task_second(): assert False """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) session = main({"paths": tmp_path}) node = session.collection_reports[0].node assert len(node.markers) == 1 assert node.markers[0].name == "skipif" assert node.markers[0].args == () assert node.markers[0].kwargs == {"condition": True, "reason": "bla"} assert session.execution_reports[0].success assert isinstance(session.execution_reports[0].exc_info[1], Skipped) assert session.execution_reports[1].success assert isinstance(session.execution_reports[1].exc_info[1], Skipped) assert session.execution_reports[0].exc_info[1].args[0] == "bla" @pytest.mark.end_to_end def test_if_skipif_decorator_is_applied_execute(tmp_path): source = """ import pytask @pytask.mark.skipif(False, reason="bla") @pytask.mark.produces("out.txt") def task_first(produces): with open(produces, "w") as f: f.write("hello world.") @pytask.mark.depends_on("out.txt") def task_second(): pass """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) session = main({"paths": tmp_path}) node = session.collection_reports[0].node assert len(node.markers) == 1 assert node.markers[0].name == "skipif" assert node.markers[0].args == (False,) assert node.markers[0].kwargs == {"reason": "bla"} assert session.execution_reports[0].success assert session.execution_reports[0].exc_info is None assert session.execution_reports[1].success assert session.execution_reports[1].exc_info is None @pytest.mark.end_to_end def test_if_skipif_decorator_is_applied_any_condition_matches(tmp_path): """Any condition of skipif has to be True and only their message is shown.""" source = """ import pytask @pytask.mark.skipif(condition=False, reason="I am fine") @pytask.mark.skipif(condition=True, reason="No, I am not.") @pytask.mark.produces("out.txt") def task_first(): assert False @pytask.mark.depends_on("out.txt") def task_second(): assert False """ tmp_path.joinpath("task_dummy.py").write_text(textwrap.dedent(source)) session = main({"paths": tmp_path}) node = session.collection_reports[0].node assert len(node.markers) == 2 assert node.markers[0].name == "skipif" assert node.markers[0].args == () assert node.markers[0].kwargs == {"condition": True, "reason": "No, I am not."} assert node.markers[1].name == "skipif" assert node.markers[1].args == () assert node.markers[1].kwargs == {"condition": False, "reason": "I am fine"} assert session.execution_reports[0].success assert isinstance(session.execution_reports[0].exc_info[1], Skipped) assert session.execution_reports[1].success assert isinstance(session.execution_reports[1].exc_info[1], Skipped) assert session.execution_reports[0].exc_info[1].args[0] == "No, I am not." @pytest.mark.unit @pytest.mark.parametrize( ("marker_name", "expectation"), [ ("skip_unchanged", pytest.raises(SkippedUnchanged)), ("skip_ancestor_failed", pytest.raises(SkippedAncestorFailed)), ("skip", pytest.raises(Skipped)), ("", does_not_raise()), ], ) def test_pytask_execute_task_setup(marker_name, expectation): class Task: pass task = Task() kwargs = {"reason": ""} if marker_name == "skip_ancestor_failed" else {} task.markers = [Mark(marker_name, (), kwargs)] with expectation: pytask_execute_task_setup(task)

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1,104

8,187

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0.117755

0.078991

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0.65021

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0.167338

8,187

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false

0.029126

0.087379

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0.145631

0

null

0

1

0

1

0

null

0

3

b2cf11ab3d7e9318bb55599575d25a729b83ace2

319

py

Python

mayan/apps/dependencies/permissions.py

CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons

0e4e919fd2e1ded6711354a0330135283e87f8c7

[ "Apache-2.0" ]

2

2021-09-12T19:41:19.000Z

2021-09-12T19:41:20.000Z

mayan/apps/dependencies/permissions.py

CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons

0e4e919fd2e1ded6711354a0330135283e87f8c7

[ "Apache-2.0" ]

37

2021-09-13T01:00:12.000Z

2021-10-02T03:54:30.000Z

mayan/apps/dependencies/permissions.py

CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons

0e4e919fd2e1ded6711354a0330135283e87f8c7

[ "Apache-2.0" ]

1

2021-09-22T13:17:30.000Z

from django.utils.translation import ugettext_lazy as _ from mayan.apps.permissions import PermissionNamespace namespace = PermissionNamespace(label=_('Dependencies'), name='dependencies') permission_dependencies_view = namespace.add_permission( label=_('View dependencies'), name='dependencies_view' )

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0.793103

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7.65625

0.59375

0.130612

0.228571

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0.115987

319

9

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0

1

0

1

0

null

0

1

0

3

b2d75b157f57c7832de3185889e5c4f8fbd90377

234

py

Python

faketranslate/metadata.py

HeywoodKing/faketranslate

683821eccd0004305c9f1bbfa0aae16f5fbcd829

[ "MIT" ]

null

faketranslate/metadata.py

HeywoodKing/faketranslate

683821eccd0004305c9f1bbfa0aae16f5fbcd829

[ "MIT" ]

null

faketranslate/metadata.py

HeywoodKing/faketranslate

683821eccd0004305c9f1bbfa0aae16f5fbcd829

[ "MIT" ]

null

# -*- encoding: utf-8 -*- """ @File : metadata.py @Time : 2020/1/1 @Author : flack @Email : opencoding@hotmail.com @ide : PyCharm @project : faketranslate @description : 描述 """

23.4

40

0.491453

22

234

5.227273

0.954545

0

0.04698

0.363248

234

10

41

23.4

0.724832

0.961538

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

3

b2d93cfb63dcf1ebc579a1abfad61711545c68bf

628

py

Python

app/main/controller/sample_controller.py

Eliotdoesprogramming/python.flask.sqlalchemy.Rest_Api_Template

3f0a98ae4676aef9ecdf0df70eb9d1990fee6182

[ "MIT" ]

null

app/main/controller/sample_controller.py

Eliotdoesprogramming/python.flask.sqlalchemy.Rest_Api_Template

3f0a98ae4676aef9ecdf0df70eb9d1990fee6182

[ "MIT" ]

null

app/main/controller/sample_controller.py

Eliotdoesprogramming/python.flask.sqlalchemy.Rest_Api_Template

3f0a98ae4676aef9ecdf0df70eb9d1990fee6182

[ "MIT" ]

null

from flask import Flask from flask_sqlalchemy import SQLAlchemy from service.api_service import Service class SampleController(object): def __init__(self,app:Flask,db:SQLAlchemy,service:Service) -> None: self.app=app self.db=db self.service=service self.add_routes(app) def add_routes(self,app:Flask): app.add_url_rule('/example',methods=['GET'],view_func=self.example) app.add_url_rule('/example',methods=['POST'],view_func=self.add_example) def example(self): return self.service.example() def add_example(self): return self.service.add_example()

39.25

80

0.703822

86

628

4.94186

0.302326

0.049412

0.056471

0.061176

0.258824

0.127059

0

0.179936

628

16

81

39.25

0.825243

0

0.036566

0

1

0.25

false

0

0.1875

0.125

0.625

0

null

0

null

0

1

0

1

0

3

b2e1c343a37dcd72cd8cbdfb5d12721802108339

296

py

Python

digin/leads/views.py

yhung119/cs411-digin

55e884ff0c26ca06056219e6cb641dc1ceae1f56

[ "Apache-2.0" ]

null

digin/leads/views.py

yhung119/cs411-digin

55e884ff0c26ca06056219e6cb641dc1ceae1f56

[ "Apache-2.0" ]

null

digin/leads/views.py

yhung119/cs411-digin

55e884ff0c26ca06056219e6cb641dc1ceae1f56

[ "Apache-2.0" ]

null

from django.shortcuts import render from leads.models import Lead from leads.serializers import LeadSerializer from rest_framework import generics # Create your views here. class LeadListCreate(generics.ListCreateAPIView): queryset = Lead.objects.all() serializer_class = LeadSerializer

29.6

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0.820946

35

296

6.885714

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0

0.128378

296

9

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32.888889

0.934109

0.077703

0

1

0

false

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

1

0

3

b2eaad3cf6ba61735dc17fc8cd249e0de4bd056b

8,879

py

Python

examples/json_serializer.py

trisongz/lazycls

701bad1a358ed3bb136347d0c5eb81de3201f6a3

[ "MIT" ]

2

2021-12-02T00:13:16.000Z

2022-02-26T11:18:33.000Z

examples/json_serializer.py

trisongz/lazycls

701bad1a358ed3bb136347d0c5eb81de3201f6a3

[ "MIT" ]

null

examples/json_serializer.py

trisongz/lazycls

701bad1a358ed3bb136347d0c5eb81de3201f6a3

[ "MIT" ]

null

""" This test will show how to use the various Json serializer(s) """ from lazy.io.pathz import get_path from lazy.serialize import SimdJson, OrJson, Json, Serializer from lazy.utils import get_logger, timer logger = get_logger('lazytest') test_file = './files/naics_codes.json' test_path = get_path(test_file, resolve=True) test_keys = [ '112930', '11299', '112990', '1131', '11311', '113110', '1132', '11321', '113210', '1133', '11331', '113310', '1141', '11411', '114111', '114112', '114119', '1142', '11421', '114210', '1151', '11511', '115111', '115112', '115113', '115114', '115115', '115116', '1152', '11521', '115210', '1153', '11531', '115310', '2111', '21112', '211120', '21113', '211130', '2121', '21211', '212111', '212112', '212113', '2122', '21221', '212210', '21222', '212221', '212222', '21223', '212230', '21229', '212291', '212299', '2123', '21231', '212311', '212312', '212313', '212319', '21232', '212321', '212322', '212324', '212325', '21239', '212391', '212392', '212393', '212399', '2131', '21311', '213111', '213112', '213113', '213114', '213115', '2211', '22111', '221111', '221112', '221113', '221114', '221115', '221116', '221117', '221118', '22112', '221121', '221122', '2212', '22121', '221210', '2213', '22131', '221310', '22132', '221320', '22133', '221330', '2361', '23611', '236115', '236116', '236117', '236118', '2362', '23621', '236210', '23622', '236220', '2371', '23711', '237110', '23712', '237120', '23713', '237130', '2372', '23721', '237210', '2373', '23731', '237310', '2379', '23799', '237990', '2381', '23811', '238110', '32412', '324121', '324122', '32419', '324191', '324199', '3251', '32511', '325110', '32512', '325120', '32513', '325130', '32518', '325180', '32519', '325193', '325194', '325199', '3252', '32521', '325211', '325212', '32522', '325220', '3253', '32531', '325311', '325312', '325314', '32532', '325320', '3254', '32541', '325411', '325412', '325413', '325414', '3255', '32551', '325510', '32552', '325520', '3256', '32561', '325611', '325612', '325613', '32562', '325620', '3259', '32591', '325910', '32592', '325920', '32599', '325991', '325992', '325998', '3261', '32611', '326111', '326112', '326113', '32612', '326121', '326122', '32613', '326130', '32614', '326140', '32615', '326150', '32616', '326160', '32619', '326191', '326199', '3262', '32621', '326211', '326212', '32622', '326220', '32629', '326291', '326299', '3271', '32711', '327110', '32712', '327120', '3272', '32721', '327211', '327212', '327213', '327215', '3273', '32731', '327310', '32732', '327320', '32733', '327331', '327332', '32739', '327390', '3274', '32741', '327410', '32742', '327420', '3279', '32791', '327910', '32799', '327991', '327992', '327993', '327999', '3311', '33111', '331110', '3312', '33121', '331210', '33122', '3312', '333413', '333414', '333415', '3335', '33351', '333511', '333514', '333515', '333517', '333519', '3336', '33361', '333611', '333612', '333613', '333618', '3339', '33391', '333912', '333914', '33392', '333921', '333922', '333923', '333924', '33399', '333991', '333992', '333993', '333994', '333995', '333996', '333997', '333999', '3341', '33411', '334111', '334112', '334118', '3342', '33421', '334210', '33422', '334220', '33429', '334290', '3343', '33431', '334310', '3344', '33441', '334412', '334413', '334416', '334417', '334418', '334419', '3345', '33451', '334510', '334511', '334512', '334513', '334514', '334515', '334516', '334517', '334519', '3346', '33461', '334613', '334614', '3351', '33511', '335110', '33512', '335121', '335122', '335129', '3352', '33521', '335210', '33522', '335220', '3353', '33531', '335311', '335312', '335313', '335314', '3359', '33591', '335911', '335912', '33592', '335921', '335929', '33593', '335931', '335932', '33599', '335991', '335999', '3361', '33611', '336111', '519190', '5211', '52111', '521110', '5221', '52211', '522110', '52212', '522120', '52213', '522130', '52219', '522190', '5222', '52221', '522210', '52222', '522220', '52229', '522291', '522292', '522293', '522294', '522298', '5223', '52231', '522310', '52232', '522320', '52239', '522390', '5231', '52311', '523110', '52312', '523120', '52313', '523130', '52314', '523140', '5232', '52321', '523210', '5239', '52391', '7113', '71131', '711310', '71132', '711320', '7114', '71141', '711410', '7115', '71151', '711510', '7121', '71211', '712110', '71212', '712120', '71213', '712130', '71219', '712190', '7131', '71311', '713110', '71312', '713120', '7132', '71321', '713210', '71329', '713290', '7139', '71391', '713910', '71392', '713920', '71393', '713930', '71394', '713940', '71395', '713950', '71399', '713990', '7211', '72111', '721110', '72112', '721120', '72119', '721191', '721199', '7212', '72121', '721211', '721214', '7213', '72131', '721310', '7223', '72231', '722310', '72232', '722320', '72233', '722330', '7224', '72241', '722410', '7225', '72251', '722511', '722513', '722514', '722515', '8111', '81111', '811111', '811112', '811113', '811118', '81112', '811121', '811122', '81119', '811191', '811192', '811198', '8112', '81121', '811211', '811212', '811213', '811219', '8113', '81131', '811310', '8114', '81141', '811411', '811412', '81142', '811420', '81143', '811430', '81149', '811490', '8121', '81211', '812111', ] def get_text(): s = timer() text = test_path.read_text() logger(f'Time to Read Text: {timer(s, as_string=True, short=True)}') return text def test_simdjson(): js = timer() text = get_text() t = SimdJson.parse(text) logger(f'[SimdJson] Time to Parse: {timer(js, as_string=True, short=True)}') num_keys = len(t.keys) logger(f'[SimdJson] Time to Load {num_keys} Keys: {timer(js, as_string=True, short=True)}') lt = timer() for i in test_keys: _ = t[i] logger(f'[SimdJson] Time to Read {len(test_keys)} Items: {timer(lt, as_string=True, short=True)}') lt = timer() _ = SimdJson.dumps(t) logger(f'[SimdJson] Time to Dump {len(test_keys)} Items: {timer(lt, as_string=True, short=True)}') logger(f'[SimdJson] Completed Test in: {timer(js, as_string=True, short=True)}') logger('----------------------------------------------------------------') def test_orjson(): js = timer() text = get_text() t = OrJson.loads(text) num_keys = len(t.keys()) logger(f'[OrJson] Time to Load with {num_keys} Total Items: {timer(js, as_string=True, short=True)}') lt = timer() for i in test_keys: _ = t[i] logger(f'[OrJson] Time to Read {len(test_keys)} Items: {timer(lt, as_string=True, short=True)}') lt = timer() _ = OrJson.dumps(t) logger(f'[OrJson] Time to Dump {len(test_keys)} Items: {timer(lt, as_string=True, short=True)}') logger(f'[OrJson] Completed Test in: {timer(js, as_string=True, short=True)}') logger('----------------------------------------------------------------') def test_json(): js = timer() text = get_text() ## Explicitly disable Parser Json.parser_enabled = False t = Json.loads(text) logger(f'[Json] Time to Load: {timer(js, as_string=True, short=True)}') lt = timer() for i in test_keys: _ = t[i] logger(f'[Json] Time to [Loads]Read {len(test_keys)} Items: {timer(lt, as_string=True, short=True)}') t = Json.parse(text) logger(f'[Json] Time to Parse: {timer(js, as_string=True, short=True)}') lt = timer() for i in test_keys: _ = t[i] logger(f'[Json] Time to [Parse]Read {len(test_keys)} Items: {timer(lt, as_string=True, short=True)}') lt = timer() _ = Json.dumps(t) logger(f'[Json] Time to Dump {len(test_keys)} Items: {timer(lt, as_string=True, short=True)}') logger(f'[Json] Completed Test in: {timer(js, as_string=True, short=True)}') logger('----------------------------------------------------------------') """ Expected Results Time to Read Text: 0.00095 secs [OrJson] Time to Load with 2077 Total Items: 0.00378 secs [OrJson] Time to Read 520 Items: 2e-05 secs [OrJson] Time to Dump 520 Items: 0.00097 secs [OrJson] Completed Test in: 0.00497 secs ---------------------------------------------------------------- Time to Read Text: 0.00022 secs [Json] Time to Load: 0.00234 secs [Json] Time to [Loads]Read 520 Items: 2e-05 secs [Json] Time to Parse: 0.0032 secs [Json] Time to [Parse]Read 520 Items: 0.00237 secs [Json] Time to Dump 520 Items: 0.00238 secs [Json] Completed Test in: 0.00814 secs ---------------------------------------------------------------- Time to Read Text: 0.00023 secs [SimdJson] Time to Parse: 0.00051 secs [SimdJson] Time to Load 2077 Keys: 0.00214 secs [SimdJson] Time to Read 520 Items: 0.00011 secs [SimdJson] Time to Dump 520 Items: 0.00365 secs [SimdJson] Completed Test in: 0.00611 secs ---------------------------------------------------------------- """ if __name__ == '__main__': test_orjson() test_json() test_simdjson()

75.245763

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0.582273

1,102

8,879

4.629764

0.553539

0.032928

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0.053312

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0.139655

8,879

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75.888889

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0

1

0

1

0

1

0

null

0

3

b2fa730dbd73b043c294390890c9c13d76abf7ce

1,685

py

Python

tests/stdlib_test.py

misantroop/jsonpickle

97f4a05ccffe8593458b4b787c3fc97622f23cec

[ "BSD-3-Clause" ]

null

tests/stdlib_test.py

misantroop/jsonpickle

97f4a05ccffe8593458b4b787c3fc97622f23cec

[ "BSD-3-Clause" ]

1

2019-04-03T20:19:40.000Z

tests/stdlib_test.py

parsons-kyle-89/jsonpickle

2828dd4a247bbae9d37a3d78194caaaeadeb2ed2

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """Test miscellaneous objects from the standard library""" import uuid import unittest import jsonpickle class UUIDTestCase(unittest.TestCase): def test_random_uuid(self): u = uuid.uuid4() encoded = jsonpickle.encode(u) decoded = jsonpickle.decode(encoded) expect = u.hex actual = decoded.hex self.assertEqual(expect, actual) def test_known_uuid(self): expect = '28b56adbd18f44e2a5556bba2f23e6f6' exemplar = uuid.UUID(expect) encoded = jsonpickle.encode(exemplar) decoded = jsonpickle.decode(encoded) actual = decoded.hex self.assertEqual(expect, actual) class BytesTestCase(unittest.TestCase): def test_bytestream(self): expect = (b'\x89HDF\r\n\x1a\n\x00\x00\x00\x00\x00\x08\x08\x00' b'\x04\x00\x10\x00\x00\x00\x00\x00\x00\x00\x00\x00' b'\x00\x00\x00\x00\xff\xff\xff\xff\xff\xff\xff\xffh' b'\x848\x00\x00\x00\x00\x00\xff\xff\xff\xff\xff\xff' b'\xff\xff\x00\x00\x00\x00\x00\x00\x00\x00`\x00\x00' b'\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00' b'\x00\x88\x00\x00\x00\x00\x00\x00\x00\xa8\x02\x00' b'\x00\x00\x00\x00\x00\x01\x00\x01\x00') encoded = jsonpickle.encode(expect) actual = jsonpickle.decode(encoded) self.assertEqual(expect, actual) def suite(): suite = unittest.TestSuite() suite.addTest(unittest.makeSuite(UUIDTestCase)) suite.addTest(unittest.makeSuite(BytesTestCase)) return suite if __name__ == '__main__': unittest.main(defaultTest='suite')

30.089286

70

0.629674

219

1,685

4.785388

0.273973

0.269084

0.326336

0.332061

0.329198

0.280534

0.277672

0.175573

0.157443

0.122137

0

0.131008

0.234421

1,685

55

71

30.636364

0.681395

0.04451

0

0.184211

0

0.184211

0.262469

0.254364

0

0.078947

1

0.105263

false

0

0.078947

0

0.263158

0

null

1

0

null

0

3

b2fd53048e194cb59b5b4420a7e50d932868c531

1,878

py

Python

glance/rpc/common.py

Quinton/glance

7674bc8963a3bec21f719c48f40e8a3fc0846e6f

[ "Apache-2.0" ]

5

2017-04-23T05:50:36.000Z

2019-03-12T09:45:20.000Z

glance/rpc/common.py

Quinton/glance

7674bc8963a3bec21f719c48f40e8a3fc0846e6f

[ "Apache-2.0" ]

null

glance/rpc/common.py

Quinton/glance

7674bc8963a3bec21f719c48f40e8a3fc0846e6f

[ "Apache-2.0" ]

2

2018-08-16T11:41:18.000Z

2018-10-21T06:56:50.000Z

#!/usr/bin/env python #encode=utf-8 #vim: tabstop=4 shiftwidth=4 softtabstop=4 #Created on 2013-8-17 #Copyright 2013 nuoqingyun xuqifeng import copy import logging import traceback class RPCException(Exception): message = "An Unknown RPC related exception occurred" def __init__(self, message = None, **kwargs): self.kwargs = kwargs if not message: try: message = self.message % kwargs except Exception as e: message = self.message super(RPCException, self).__init__(message) class RemoteError(RPCException): message = "Remote error: %(exc_type)s %(value)s\n%(traceback)s" def __init__(self, exc_type = None, value = None, traceback = None): self.exc_type = exc_type self.value = value self.traceback = traceback super(RemoteError, self).__init__(exc_type = exc_type, value = value, traceback = traceback) class Timeout(RPCException): """ """ message = "Timeout while waiting on RPC response" class InvalidRPCConnectionReuse(RPCException): message = "Invalid reuse of an RPC Connection" class Connection(object): def close(self): raise NotImplementedError() def create_consumer(self, topic, proxy, fanout = False): raise NotImplementedError() def create_worker(self, topic, proxy, pool_name): raise NotImplementedError() def consumer_in_thread(self): raise NotImplementedError() def _sage_log(log_func, mes, msg_data): """ """ pass def serialize_remote_exception(failure_info): """ """ pass def deserialize_remote_exception(conf, data): """ """ pass

22.357143

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0.596912

193

1,878

5.621762

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0.03871

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0.313632

1,878

83

74

22.626506

0.830101

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0

0.100679

0.014824

0

1

0.219512

false

0.073171

0

0.512195

0

null

0

null

0

1

0

1

0

1

0

3

6502f4ca30fdd305a49eeefeb8dc2c19d45c0e83

2,598

py

Python

dit/divergences/tests/test_jensen_shannon_divergence.py

chebee7i/dit

59626e34c7938fddeec140522dd2a592ba4f42ef

[ "BSD-2-Clause" ]

null

dit/divergences/tests/test_jensen_shannon_divergence.py

chebee7i/dit

59626e34c7938fddeec140522dd2a592ba4f42ef

[ "BSD-2-Clause" ]

null

dit/divergences/tests/test_jensen_shannon_divergence.py

chebee7i/dit

59626e34c7938fddeec140522dd2a592ba4f42ef

[ "BSD-2-Clause" ]

null

""" Tests for dit.divergences.jensen_shannon_divergence. """ from nose.tools import assert_almost_equal, assert_raises from dit import Distribution from dit.exceptions import ditException from dit.divergences.jensen_shannon_divergence import ( jensen_shannon_divergence as JSD, jensen_shannon_divergence_pmf as JSD_pmf ) def test_jsd0(): """ Test the JSD of a distribution but with weights misspecified.""" d1 = Distribution("AB", [0.5, 0.5]) assert_raises(ditException, JSD, d1, d1) def test_jsd1(): """ Test the JSD of a distribution with itself """ d1 = Distribution("AB", [0.5, 0.5]) jsd = JSD([d1, d1]) assert_almost_equal(jsd, 0) def test_jsd2(): """ Test the JSD with half-overlapping distributions """ d1 = Distribution("AB", [0.5, 0.5]) d2 = Distribution("BC", [0.5, 0.5]) jsd = JSD([d1, d2]) assert_almost_equal(jsd, 0.5) def test_jsd3(): """ Test the JSD with disjoint distributions """ d1 = Distribution("AB", [0.5, 0.5]) d2 = Distribution("CD", [0.5, 0.5]) jsd = JSD([d1, d2]) assert_almost_equal(jsd, 1.0) def test_jsd4(): """ Test the JSD with half-overlapping distributions with weights """ d1 = Distribution("AB", [0.5, 0.5]) d2 = Distribution("BC", [0.5, 0.5]) jsd = JSD([d1, d2], [0.25, 0.75]) assert_almost_equal(jsd, 0.40563906222956625) def test_jsd5(): """ Test that JSD fails when more weights than dists are given """ d1 = Distribution("AB", [0.5, 0.5]) d2 = Distribution("BC", [0.5, 0.5]) assert_raises(ditException, JSD, [d1, d2], [0.1, 0.6, 0.3]) def test_jsd_pmf1(): """ Test the JSD of a distribution with itself """ d1 = [0.5, 0.5] jsd = JSD_pmf([d1, d1]) assert_almost_equal(jsd, 0) def test_jsd_pmf2(): """ Test the JSD with half-overlapping distributions """ d1 = [0.5, 0.5, 0.0] d2 = [0.0, 0.5, 0.5] jsd = JSD_pmf([d1, d2]) assert_almost_equal(jsd, 0.5) def test_jsd_pmf3(): """ Test the JSD with disjoint distributions """ d1 = [0.5, 0.5, 0.0, 0.0] d2 = [0.0, 0.0, 0.5, 0.5] jsd = JSD_pmf([d1, d2]) assert_almost_equal(jsd, 1.0) def test_jsd_pmf4(): """ Test the JSD with half-overlapping distributions with weights """ d1 = [0.5, 0.5, 0.0] d2 = [0.0, 0.5, 0.5] jsd = JSD_pmf([d1, d2], [0.25, 0.75]) assert_almost_equal(jsd, 0.40563906222956625) def test_jsd_pmf5(): """ Test that JSD fails when more weights than dists are given """ d1 = [0.5, 0.5, 0.0] d2 = [0.0, 0.5, 0.5] assert_raises(ditException, JSD_pmf, [d1, d2], [0.1, 0.6, 0.2, 0.1])

30.928571

73

0.624326

432

2,598

3.631944

0.157407

0.050988

0.043977

0.048439

0.807521

0.758445

0.738687

0.674952

0.590822

0.463352

0

0.107108

0.209392

2,598

83

74

31.301205

0.656767

0.243264

0

0.482143

0

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0

0.214286

1

0.196429

false

0

0.071429

0

0.267857

0

null

0

1

0

null

0

3

6506db5995970d6837a7164f54f13ccdaecfc008

1,651

py

Python

steampipe_alchemy/models/aws_route53_resolver_rule.py

RyanJarv/steampipe_alchemy

c8a31303252c1bd8d83d0f9c429d7d0ef7e1690f

[ "BSD-3-Clause" ]

9

2021-04-21T04:21:01.000Z

2021-06-19T19:33:36.000Z

steampipe_alchemy/models/aws_route53_resolver_rule.py

RyanJarv/steampipe_alchemy

c8a31303252c1bd8d83d0f9c429d7d0ef7e1690f

[ "BSD-3-Clause" ]

null

steampipe_alchemy/models/aws_route53_resolver_rule.py

RyanJarv/steampipe_alchemy

c8a31303252c1bd8d83d0f9c429d7d0ef7e1690f

[ "BSD-3-Clause" ]

1

2021-04-26T21:08:20.000Z

from sqlalchemy import Column from sqlalchemy.types import JSON, Text, Boolean, TIMESTAMP, BigInteger from sqlalchemy.dialects import postgresql as psql from steampipe_alchemy.mixins import FormatMixins from steampipe_alchemy import Base class AwsRoute53ResolverRule(Base, FormatMixins): __tablename__ = 'aws_route53_resolver_rule' tags = Column('tags', JSON, nullable=True) akas = Column('akas', JSON, nullable=True) target_ips = Column('target_ips', JSON, nullable=True) tags_src = Column('tags_src', JSON, nullable=True) resolver_rule_associations = Column('resolver_rule_associations', JSON, nullable=True) domain_name = Column('domain_name', Text, nullable=True) owner_id = Column('owner_id', Text, nullable=True) resolver_endpoint_id = Column('resolver_endpoint_id', Text, nullable=True) rule_type = Column('rule_type', Text, nullable=True) share_status = Column('share_status', Text, nullable=True) status_message = Column('status_message', Text, nullable=True) creation_time = Column('creation_time', Text, nullable=True) modification_time = Column('modification_time', Text, nullable=True) title = Column('title', Text, nullable=True) partition = Column('partition', Text, nullable=True) region = Column('region', Text, nullable=True) name = Column('name', Text, nullable=True) account_id = Column('account_id', Text, nullable=True) id = Column('id', Text, nullable=True) arn = Column('arn', Text, primary_key=True, nullable=True) status = Column('status', Text, nullable=True) creator_request_id = Column('creator_request_id', Text, nullable=True)

53.258065

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207

1,651

5.705314

0.2657

0.223539

0.216765

0.076207

0

0.002827

0.142944

1,651

31

91

53.258065

0.831802

0

0.1477

0.030872

0

1

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false

0

0.172414

0

1

0

null

1

0

null

0

1

0

3

650d548dfcf197b677b3b51c6953dea2bc1cb40b

305

py

Python

codes/Ex036.py

BelfortJoao/Curso-phyton01

79376233be228f39bf548f90b8d9bd5419ac067a

[ "MIT" ]

3

2021-08-17T14:02:14.000Z

2021-08-19T02:37:30.000Z

codes/Ex036.py

BelfortJoao/Curso-phyton01

79376233be228f39bf548f90b8d9bd5419ac067a

[ "MIT" ]

null

codes/Ex036.py

BelfortJoao/Curso-phyton01

79376233be228f39bf548f90b8d9bd5419ac067a

[ "MIT" ]

null

x = float(input('Qual o valor da casa que quer comprar? ')) y = int(input("em quantos anos quer comprar a casa? ")) z = int(input("Qual seu salario? ")) w = y*12 if x / w > (z/100)*30: print("Voce não pode comprar a casa") else: print('Voce pode comprar a casa a parcela é de {:.2f}'.format(x/y))

33.888889

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58

305

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0.603448

0.123711

0.185567

0.164948

0

0.032787

0.2

305

8

72

38.125

0.762295

0

0.55082

0

1

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false

0

0.25

0

null

0

1

0

1

0

null

0

3

6514ff55c2d00ee1deed3eaa7d8b92b095c218ad

141

py

Python

featureflags/__init__.py

enverbisevac/ff-python-server-sdk

e7c809229d13517e0bf4b28fc0a556e693c9034e

[ "Apache-2.0" ]

null

featureflags/__init__.py

enverbisevac/ff-python-server-sdk

e7c809229d13517e0bf4b28fc0a556e693c9034e

[ "Apache-2.0" ]

null

featureflags/__init__.py

enverbisevac/ff-python-server-sdk

e7c809229d13517e0bf4b28fc0a556e693c9034e

[ "Apache-2.0" ]

null

"""Top-level package for Feature Flag Server SDK.""" __author__ = """Enver Bisevac""" __email__ = "enver@bisevac.com" __version__ = "0.1.0"

23.5

52

0.695035

19

141

4.526316

0.842105

0.27907

0

0.02439

0.12766

141

5

53

28.2

0.674797

0.326241

0

0.393258

0

1

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false

0

1

0

null

1

0

1

0

null

0

3

65192f76bf69dd1b91580c7c3d8c5be7720e2e54

410

py

Python

peerplays/blockchainobject.py

farisshajahan/python-peerplays

260e43d39307554f5c35574fe7a6f5451a51697f

[ "MIT" ]

10

2019-03-14T03:09:42.000Z

2021-03-17T10:20:05.000Z

peerplays/blockchainobject.py

farisshajahan/python-peerplays

260e43d39307554f5c35574fe7a6f5451a51697f

[ "MIT" ]

8

2019-04-02T17:07:20.000Z

2020-04-30T08:24:01.000Z

peerplays/blockchainobject.py

farisshajahan/python-peerplays

260e43d39307554f5c35574fe7a6f5451a51697f

[ "MIT" ]

4

2019-04-02T17:00:22.000Z

2021-08-09T11:28:20.000Z

# -*- coding: utf-8 -*- from .instance import BlockchainInstance from graphenecommon.blockchainobject import ( BlockchainObject as GrapheneBlockchainObject, BlockchainObjects as GrapheneBlockchainObjects, ObjectCache, ) @BlockchainInstance.inject class BlockchainObject(GrapheneBlockchainObject): pass @BlockchainInstance.inject class BlockchainObjects(GrapheneBlockchainObjects): pass

22.777778

51

0.807317

30

410

11.033333

0.566667

0.145015

0.175227

0

0.002801

0.129268

410

17

52

24.117647

0.92437

0.05122

0

0.333333

0

1

0

true

0.166667

0

0.333333

0

1

null

0

null

0

1

0

3

65411b851445a48f4001d24e9d3426293a327569

243

py

Python

src/data_curation/dataset_manager/views.py

NovaSBE-DSKC/retention-evaluation

5b68b9282f0b5479a9dc5238faef68067c76b861

[ "MIT" ]

null

src/data_curation/dataset_manager/views.py

NovaSBE-DSKC/retention-evaluation

5b68b9282f0b5479a9dc5238faef68067c76b861

[ "MIT" ]

null

src/data_curation/dataset_manager/views.py

NovaSBE-DSKC/retention-evaluation

5b68b9282f0b5479a9dc5238faef68067c76b861

[ "MIT" ]

null

from src.data_curation.dataset_manager import get_meta import pandas as pd def view_all(): return get_meta() def get_docs(id): df = get_meta() docs = df[df["id"] == id]["docs"].iloc[0] df = pd.read_json(docs) return df

17.357143

54

0.654321

41

243

3.682927

0.560976

0.139073

0

0.005208

0.209877

243

13

55

18.692308

0.78125

0

0.024691

0

1

0.222222

false

0

0.222222

0.111111

0.666667

0

null

0

null

0

1

0

1

0

3

654ad9f66cc00d76dc7800cff09e9d14c95e20e3

2,259

py

Python

tpdatasrc/tpgamefiles/rules/char_class/class020_archmage.py

edoipi/TemplePlus

f0e552289822fea908f16daa379fa568b1bd286d

[ "MIT" ]

null

tpdatasrc/tpgamefiles/rules/char_class/class020_archmage.py

edoipi/TemplePlus

f0e552289822fea908f16daa379fa568b1bd286d

[ "MIT" ]

null

tpdatasrc/tpgamefiles/rules/char_class/class020_archmage.py

edoipi/TemplePlus

f0e552289822fea908f16daa379fa568b1bd286d

[ "MIT" ]

null

from toee import * import char_class_utils ################################################### def GetConditionName(): return "Archmage" def GetSpellCasterConditionName(): return "Archmage Spellcasting" def GetCategory(): return "Core 3.5 Ed Prestige Classes" def GetClassDefinitionFlags(): return CDF_CoreClass def GetClassHelpTopic(): return "TAG_ARCHMAGES" classEnum = stat_level_archmage ################################################### class_feats = { } class_skills = (skill_alchemy, skill_concentration, skill_craft, skill_knowledge_all, skill_profession, skill_search, skill_spellcraft) def IsEnabled(): return 1 def GetHitDieType(): return 4 def GetSkillPtsPerLevel(): return 2 def GetBabProgression(): return base_attack_bonus_type_non_martial def IsFortSaveFavored(): return 0 def IsRefSaveFavored(): return 0 def IsWillSaveFavored(): return 1 def GetSpellListType(): return spell_list_type_arcane def GetSpellSourceType(): return spell_source_type_arcane def IsClassSkill(skillEnum): return char_class_utils.IsClassSkill(class_skills, skillEnum) def IsClassFeat(featEnum): return char_class_utils.IsClassFeat(class_feats, featEnum) def GetClassFeats(): return class_feats def IsAlignmentCompatible( alignment): return 1 def CanCastArcaneLvl7(obj): # TODO: generalize (to support other arcane classes) if obj.stat_level_get(stat_level_sorcerer) >= 14: return 1 if obj.stat_level_get(stat_level_wizard) >= 13: return 1 def HasSpellFocusInTwoSchool( obj ): sf1 = 0 for p in range(feat_spell_focus_abjuration, feat_spell_focus_transmutation+1): if obj.has_feat(p): sf1 = p break if sf1 == 0: return 0 sf2 = 0 for p in range(feat_spell_focus_abjuration, feat_spell_focus_transmutation+1): if obj.has_feat(p) and p != sf1: sf2 = p break if sf2 == 0: return 0 return 1 def ObjMeetsPrereqs( obj ): return 0 # WIP # skill ranks (only Disable Device since Escape Artist, Decipher Script and Knowledge Arcana aren't implemented in ToEE) if obj.skill_ranks_get(skill_spellcraft) < 15: return 0 if (not obj.has_feat(feat_skill_focus_spellcraft)): return 0 if (not CanCastArcaneLvl7(obj)): return 0 if (not HasSpellFocusInTwoSchool(obj)): return 0 return 1

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20.916667

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null

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null

0

1

0

1

0

3

e8df842f0c6982487b7ca3ace562a894cc9d1940

606

py

Python

exposures/generate_passwords.py

jarnoln/exposures

bbae3f79078048d25b77e178db6c0801ffe9f97e

[ "MIT" ]

null

exposures/generate_passwords.py

jarnoln/exposures

bbae3f79078048d25b77e178db6c0801ffe9f97e

[ "MIT" ]

null

exposures/generate_passwords.py

jarnoln/exposures

bbae3f79078048d25b77e178db6c0801ffe9f97e

[ "MIT" ]

null

#!/usr/bin/env python import random import argparse def generate_passwords(password_file_path): password_file = open(password_file_path, 'w') chars = 'abcdefghijklmnopqrstuvxyz01234567890_-!*' secret_key = ''.join(random.SystemRandom().choice(chars) for _ in range(50)) password_file.write("SECRET_KEY = '%s'\n" % secret_key) password_file.close() if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('password_file_path', help='Where password file will be placed') args = parser.parse_args() generate_passwords(args.password_file_path)

31.894737

88

0.737624

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606

5.586667

0.586667

0.229117

0.152745

0

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0.141914

606

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0.780769

0.033003

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false

0.461538

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1

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null

0

1

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3

330000bbbc4cd1509f76a97c2471648387f8c603

332

py

Python

src/data/dbConnection.py

leonardoleyva/api-agenda-uas

697740a0a3feebb2ada01133db020fcf5127e1de

[ "MIT" ]

1

2022-03-13T02:28:29.000Z

src/data/dbConnection.py

leonardoleyva/api-agenda-uas

697740a0a3feebb2ada01133db020fcf5127e1de

[ "MIT" ]

null

src/data/dbConnection.py

leonardoleyva/api-agenda-uas

697740a0a3feebb2ada01133db020fcf5127e1de

[ "MIT" ]

null

from firebase_admin import firestore from google.cloud.firestore_v1.base_client import BaseClient from ..core.app import App class DBConnection(App): def __init__(self) -> None: super().__init__() self.__db: BaseClient = firestore.client() def getDBInstance(self) -> BaseClient: return self.__db

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null

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null

0

1

0

1

0

3

331719a2a5a244761348d8660d5c741b1f74d90f

2,921

py

Python

tests/test1.py

pedroramaciotti/Cloudtropy

bce1cc1cd6c5217ac20cf5a98491d10c6a8905b2

[ "MIT" ]

null

tests/test1.py

pedroramaciotti/Cloudtropy

bce1cc1cd6c5217ac20cf5a98491d10c6a8905b2

[ "MIT" ]

null

tests/test1.py

pedroramaciotti/Cloudtropy

bce1cc1cd6c5217ac20cf5a98491d10c6a8905b2

[ "MIT" ]

1

2021-03-10T14:04:04.000Z

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits import mplot3d # from scipy.stats import entropy import sys sys.path.append('../') import cloudtropy # data gen_dim = 2 gen_N = 300 lims = (-2,6) scale = 0.2 X = np.random.uniform(low=lims[0],high=lims[1],size=(10000,2)) # background X = np.concatenate([X,scale*np.random.randn(gen_N,gen_dim)+np.array([0,0])] ) X = np.concatenate([X,scale*np.random.randn(gen_N,gen_dim)+np.array([4,0])] ) X = np.concatenate([X,scale*np.random.randn(gen_N,gen_dim)+np.array([0,4])] ) X = np.concatenate([X,scale*np.random.randn(gen_N,gen_dim)+np.array([4,4])] ) # input parameters N_grid = 80 delta_c = 0.35 # grid,pmf = cloudtropy.pmf(X,N=N_grid,delta_c=delta_c,lims=[(-2,6),(-2,6)]) grid,pmf = cloudtropy.pmf(X,d=0.1,delta_c=delta_c,lims=[(-2,6),(-2,6)]) entropy = cloudtropy.entropy(X,base=2,N=N_grid,delta_c=delta_c,lims=[(-3,7),(-3,7)]) print(cloudtropy.entropy(X,base=2,d=0.1,delta_c=delta_c,lims=[(-3,7),(-3,7)])) ############## All in one fig = plt.figure(figsize=(14,3)) # ax1 = fig.add_subplot(1,4,1) # levels = np.linspace(0,flat_pmf.max(),40) ax1.scatter(X[:,0], X[:,1],s=1,alpha=0.1,color='k') ax1.set_xlabel('x'),ax1.set_ylabel('y') ax1.set_xlim(lims),ax1.set_xlim(lims) ax1.axis('equal') # ax2 = fig.add_subplot(1,3,2,projection='3d') ax2.plot_surface(grid[0], grid[1], pmf,cmap='coolwarm', edgecolor='none',shade='interp') ax2.set_xlabel('x'),ax2.set_ylabel('y')#,ax.set_zlabel('PMF',rotation=90) ax2.view_init(elev=60, azim=-45) # ax3 = fig.add_subplot(1,3,3) cs = ax3.contourf(grid[0], grid[1], pmf, levels=np.linspace(0,pmf.max(),40), cmap='Purples_r') ax3.set_xlabel('x'),ax3.set_ylabel('y') ax3.set_title('Entropy = %.3f'%entropy) ax3.set_xlim(lims),ax3.set_xlim(lims), ax3.axis('equal') cbar = fig.colorbar(cs) # plt.tight_layout() # plt.savefig('all.pdf') plt.savefig('all.png',dpi=400) ############## Separate fig = plt.figure(figsize=(4,3)) # ax1 = fig.add_subplot(1,1,1) # levels = np.linspace(0,flat_pmf.max(),40) ax1.scatter(X[:,0], X[:,1],s=1,alpha=0.1,color='k') ax1.set_xlabel('x'),ax1.set_ylabel('y') ax1.set_xlim(lims),ax1.set_xlim(lims) ax1.axis('equal') plt.savefig('scatter.png',dpi=400) # fig = plt.figure(figsize=(4,3)) # ax2 = fig.add_subplot(1,1,1,projection='3d') ax2.plot_surface(grid[0], grid[1], pmf,cmap='coolwarm', edgecolor='none',shade='interp') ax2.set_xlabel('x'),ax2.set_ylabel('y')#,ax.set_zlabel('PMF',rotation=90) ax2.view_init(elev=60, azim=-45) plt.savefig('surf.png',dpi=400) # fig = plt.figure(figsize=(4,3)) # ax3 = fig.add_subplot(1,1,1) cs = ax3.contourf(grid[0], grid[1], pmf, levels=np.linspace(0,pmf.max(),40), cmap='Purples_r') # ax3.set_xlabel('x'),ax3.set_ylabel('y') # ax3.set_title('Entropy = %.3f'%entropy) ax3.set_xlim(lims),ax3.set_xlim(lims), ax3.axis('equal') cbar = fig.colorbar(cs) # plt.tight_layout() # plt.savefig('all.pdf') plt.savefig('contour_simple.png',dpi=400)

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0.220615

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0.045738

0.043659

0.808212

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0

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null

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1

0

1

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null

0

3

331dc380a0542f7715a2dea44ae9eaa75a2bf837

193

py

Python

RecoLocalCalo/HGCalRecProducers/python/HeterogeneousHEBRecHitGPUtoSoA_cfi.py

Purva-Chaudhari/cmssw

32e5cbfe54c4d809d60022586cf200b7c3020bcf

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

RecoLocalCalo/HGCalRecProducers/python/HeterogeneousHEBRecHitGPUtoSoA_cfi.py

Purva-Chaudhari/cmssw

32e5cbfe54c4d809d60022586cf200b7c3020bcf

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

RecoLocalCalo/HGCalRecProducers/python/HeterogeneousHEBRecHitGPUtoSoA_cfi.py

Purva-Chaudhari/cmssw

32e5cbfe54c4d809d60022586cf200b7c3020bcf

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms HEBRecHitGPUtoSoAProd = cms.EDProducer('HEBRecHitGPUtoSoA', HEBRecHitGPUTok = cms.InputTag('HEBRecHitGPUProd'))

38.6

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0.663212

14

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193

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null

0

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null

0

1

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3

33270a402f92d2ec94e2db647e7c5d239b6f78fe

3,733

py

Python

temboo/core/Library/LittleSis/Relationship/GetOneRelationship.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/LittleSis/Relationship/GetOneRelationship.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/LittleSis/Relationship/GetOneRelationship.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

# -*- coding: utf-8 -*- ############################################################################### # # GetOneRelationship # Retrieves information about any known relationship between two entities in LittleSis according their IDs. # # Python versions 2.6, 2.7, 3.x # # Copyright 2014, Temboo Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, # either express or implied. See the License for the specific # language governing permissions and limitations under the License. # # ############################################################################### from temboo.core.choreography import Choreography from temboo.core.choreography import InputSet from temboo.core.choreography import ResultSet from temboo.core.choreography import ChoreographyExecution import json class GetOneRelationship(Choreography): def __init__(self, temboo_session): """ Create a new instance of the GetOneRelationship Choreo. A TembooSession object, containing a valid set of Temboo credentials, must be supplied. """ super(GetOneRelationship, self).__init__(temboo_session, '/Library/LittleSis/Relationship/GetOneRelationship') def new_input_set(self): return GetOneRelationshipInputSet() def _make_result_set(self, result, path): return GetOneRelationshipResultSet(result, path) def _make_execution(self, session, exec_id, path): return GetOneRelationshipChoreographyExecution(session, exec_id, path) class GetOneRelationshipInputSet(InputSet): """ An InputSet with methods appropriate for specifying the inputs to the GetOneRelationship Choreo. The InputSet object is used to specify input parameters when executing this Choreo. """ def set_APIKey(self, value): """ Set the value of the APIKey input for this Choreo. ((required, string) The API Key obtained from LittleSis.org.) """ super(GetOneRelationshipInputSet, self)._set_input('APIKey', value) def set_EntityIDs(self, value): """ Set the value of the EntityIDs input for this Choreo. ((required, string) The IDs of the entities between which you want to find relationships. Format is a semicolon delimited string (e.g. 1026;1)) """ super(GetOneRelationshipInputSet, self)._set_input('EntityIDs', value) def set_ResponseFormat(self, value): """ Set the value of the ResponseFormat input for this Choreo. ((optional, string) Format of the response returned by LittleSis.org. Acceptable inputs: xml or json. Defaults to xml) """ super(GetOneRelationshipInputSet, self)._set_input('ResponseFormat', value) class GetOneRelationshipResultSet(ResultSet): """ A ResultSet with methods tailored to the values returned by the GetOneRelationship Choreo. The ResultSet object is used to retrieve the results of a Choreo execution. """ def getJSONFromString(self, str): return json.loads(str) def get_Response(self): """ Retrieve the value for the "Response" output from this Choreo execution. (The response from LittleSis.org.) """ return self._output.get('Response', None) class GetOneRelationshipChoreographyExecution(ChoreographyExecution): def _make_result_set(self, response, path): return GetOneRelationshipResultSet(response, path)

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0.021722

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0.056245

0

0.006246

0.185106

3,733

92

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false

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0

null

0

null

0

1

0

1

0

3

3327fef21614dc3511498e572fb63b8ff5adf0a3

9,385

py

Python

rec_to_nwb/test/processing/tools/test_beartype.py

jihyunbak/rec_to_nwb

6e65f8bf0a4faa4d986483ec2442ba19d70c92a9

[ "Apache-2.0" ]

8

2020-05-29T13:48:35.000Z

2021-11-19T04:24:48.000Z

rec_to_nwb/test/processing/tools/test_beartype.py

jihyunbak/rec_to_nwb

6e65f8bf0a4faa4d986483ec2442ba19d70c92a9

[ "Apache-2.0" ]

12

2020-11-13T01:36:32.000Z

2022-01-23T20:35:55.000Z

rec_to_nwb/test/processing/tools/test_beartype.py

jihyunbak/rec_to_nwb

6e65f8bf0a4faa4d986483ec2442ba19d70c92a9

[ "Apache-2.0" ]

3

2020-10-20T06:52:45.000Z

2021-07-06T23:00:53.000Z

#!/usr/bin/env python3 """ `py.test`-driven unit test suite for the `@beartype` decorator, implementing a rudimentary subset of PEP 484-style type checking based on Python 3.x function annotations. Usage ---------- These tests assume the `@beartype` decorator and all utility functions (e.g., `_check_type_annotation()`) and globals (e.g., `_PARAMETER_KIND_IGNORED`) required by this decorator to reside in a top-level module named `beartype`. If this is the case, these tests may be run as is with: $ py.test -k test_beartype See Also ---------- https://stackoverflow.com/a/37961120/2809027 Stackoverflow answer introducing the `@beartype` decorator. """ from unittest import TestCase import typing import pytest from testfixtures import should_raise from rec_to_nwb.processing.tools.beartype.beartype import beartype class TestBearyype(TestCase): def test_beartype_noop(self) -> None: """ Test bear typing of a function with no function annotations, reducing to _no_ type checking. """ # Unannotated function to be type checked. @beartype def khorne(gork, mork): return gork + mork # Call this function and assert the expected return value. assert khorne('WAAAGH!', '!HGAAAW') == 'WAAAGH!!HGAAAW' # ....................{ TESTS ~ pass : param }.................... def test_beartype_pass_param_keyword_and_positional(self) -> None: """ Test bear typing of a function call successfully passed both annotated positional and keyword parameters. """ # Function to be type checked. @beartype def slaanesh(daemonette: str, keeper_of_secrets: str) -> str: return daemonette + keeper_of_secrets # Call this function with both positional and keyword arguments and assert # the expected return value. assert slaanesh( 'Seeker of Decadence', keeper_of_secrets="N'Kari") == ( "Seeker of DecadenceN'Kari") def test_beartype_pass_param_keyword_only(self) -> None: """ Test bear typing of a function call successfully passed an annotated keyword-only parameter following an `*` or `*args` parameter. """ # Function to be type checked. @beartype def changer_of_ways(sky_shark: str, *, chaos_spawn: str) -> str: return sky_shark + chaos_spawn # Call this function with keyword arguments and assert the expected return # value. assert changer_of_ways( 'Screamers', chaos_spawn="Mith'an'driarkh") == ( "ScreamersMith'an'driarkh") def test_beartype_pass_param_tuple(self) -> None: """ Test bear typing of a function call successfully passed a parameter annotated as a tuple. """ # Function to be type checked. @beartype def genestealer(tyranid: str, hive_fleet: (str, int)) -> str: return tyranid + str(hive_fleet) # Call this function with each of the two types listed in the above tuple. assert genestealer( 'Norn-Queen', hive_fleet='Behemoth') == 'Norn-QueenBehemoth' assert genestealer( 'Carnifex', hive_fleet=0xDEADBEEF) == 'Carnifex3735928559' def test_type_check_pass_param_custom(self) -> None: """ Test bear typing of a function call successfully passed a parameter annotated as a user-defined rather than builtin type. """ # User-defined type. class CustomTestStr(str): pass # Function to be type checked. @beartype def hrud(gugann: str, delphic_plague: CustomTestStr) -> str: return gugann + delphic_plague # Call this function with each of the two types listed in the above tuple. assert hrud( 'Troglydium hruddi', delphic_plague=CustomTestStr('Delphic Sink')) == ( 'Troglydium hruddiDelphic Sink') def test_type_check_pass_typing_module(self) -> None: """ Test bear typing of a function call successfully passed a parameter annotated with an abstract type from the typing module. """ MyMap = typing.Mapping @beartype def function(par: MyMap, ameter: MyMap) -> MyMap: result = par.copy() result.update(ameter) return result assert function({1:1}, {2:2}) == {1:1, 2:2} def test_type_check_pass_parameterized_typing_module(self) -> None: """ Test bear typing of a function call successfully passed a parameter annotated with a parametirized abstract type from the typing module. """ MyMap = typing.Mapping @beartype def function(par: MyMap, ameter: MyMap) -> MyMap: result = par.copy() result.update(ameter) return result assert function({1:1}, {2:2}) == {1:1, 2:2} # ....................{ TESTS ~ pass : return }.................... def test_type_check_pass_return_none(self) -> None: """ Test bear typing of a function call successfully returning `None` and annotated as such. """ # Function to be type checked. @beartype def xenos(interex: str, diasporex: str) -> None: interex + diasporex # Call this function and assert no value to be returned. assert xenos( 'Luna Wolves', diasporex='Iron Hands Legion') is None # ....................{ TESTS ~ fail }.................... def test_beartype_fail_keyword_unknown(self) -> None: """ Test bear typing of an annotated function call passed an unrecognized keyword parameter. """ # Annotated function to be type checked. @beartype def tau(kroot: str, vespid: str) -> str: return kroot + vespid # Call this function with an unrecognized keyword parameter and assert the # expected exception. with pytest.raises(TypeError) as exception: tau(kroot='Greater Good', nicassar='Dhow') # For readability, this should be a "TypeError" synopsizing the exact issue # raised by the Python interpreter on calling the original function rather # than a "TypeError" failing to synopsize the exact issue raised by the # wrapper type-checking the original function. Since the function # annotations defined above guarantee that the exception message of the # latter will be suffixed by "not a str", ensure this is *NOT* the case. assert not str(exception.value).endswith('not a str') def test_beartype_fail_param_name(self) -> None: """ Test bear typing of a function accepting a parameter name reserved for use by the `@beartype` decorator. """ # Define a function accepting a reserved parameter name and assert the # expected exception. @beartype @should_raise(NameError) def jokaero(weaponsmith: str, __beartype_func: str) -> str: return weaponsmith + __beartype_func # ....................{ TESTS ~ fail : type }.................... def test_beartype_fail_param_type(self) -> None: """ Test bear typing of an annotated function call failing a parameter type check. """ # Annotated function to be type checked. @beartype def eldar(isha: str, asuryan: (str, int)) -> str: return isha + asuryan # Call this function with an invalid type and assert the expected exception. with pytest.raises(TypeError): eldar('Mother of the Eldar', 100.100) def test_beartype_fail_return_type(self) -> None: """ Test bear typing of an annotated function call failing a return type check. """ # Annotated function to be type checked. @beartype def necron(star_god: str, old_one: str) -> str: return 60e6 # Call this function and assert the expected exception. with pytest.raises(TypeError): necron("C'tan", 'Elder Thing') # ....................{ TESTS ~ fail : annotation }.................... def test_beartype_fail_annotation_param(self) -> None: """ Test bear typing of a function with an unsupported parameter annotation. """ # Assert the expected exception from attempting to type check a function # with a parameter annotation that is *NOT* a type. with pytest.raises(TypeError): @beartype def nurgle(nurgling: str, great_unclean_one: 'Bringer of Poxes') -> str: return nurgling + great_unclean_one def test_beartype_fail_annotation_return(self) -> None: """ Test bear typing of a function with an unsupported return annotation. """ # Assert the expected exception from attempting to type check a function # with a return annotation that is *NOT* a type. with pytest.raises(TypeError): @beartype def tzeentch(disc: str, lord_of_change: str) -> 'Player of Games': return disc + lord_of_change

36.235521

84

0.613213

1,098

9,385

5.138434

0.247723

0.01737

0.029777

0.039702

0.468983

0.414392

0.394895

0.346508

0.333038

0.278979

0

0.008391

0.288865

9,385

258

85

36.375969

0.836979

0.444113

0

0.326531

0

0.07681

0.005051

0

0.002104

0

0.102041

1

0.285714

false

0.081633

0.05102

0.112245

0.489796

0

null

0

null

0

1

0

1

0

1

0

3

3339f7cf782a2803830764348c1674b391c59c54

113

py

Python

DigitalMeLib/servers/gedis/GedisProcessManager.py

jdelrue/digital_me

e5c92c405c0cea419ce18d25863f35d1bfe5a428

[ "Apache-2.0" ]

null

DigitalMeLib/servers/gedis/GedisProcessManager.py

jdelrue/digital_me

e5c92c405c0cea419ce18d25863f35d1bfe5a428

[ "Apache-2.0" ]

72

2018-08-01T06:13:46.000Z

2019-02-01T15:50:20.000Z

DigitalMeLib/servers/gedis/GedisProcessManager.py

jdelrue/digital_me

e5c92c405c0cea419ce18d25863f35d1bfe5a428

[ "Apache-2.0" ]

2

2018-08-05T08:09:13.000Z

2018-11-21T13:11:28.000Z

from jumpscale import j JSBASE = j.application.jsbase_get_class() class GedisProcessManager(JSBASE): pass

14.125

41

0.778761

14

113

6.142857

0.714286

0

0.150442

113

7

42

16.142857

0.895833

0

1

0

false

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

333a9b81c1942bff823966256c44e46de0b7f8db

1,753

py

Python

install/install.py

naztronaut/FCW

e272f29dda54f8a18f9ff533de598bb0bfd29099

[ "MIT" ]

4

2021-01-03T05:54:23.000Z

2021-08-06T19:39:04.000Z

install/install.py

naztronaut/FCW

e272f29dda54f8a18f9ff533de598bb0bfd29099

[ "MIT" ]

4

2020-10-15T17:09:31.000Z

2022-03-26T00:46:48.000Z

install/install.py

naztronaut/FCW

e272f29dda54f8a18f9ff533de598bb0bfd29099

[ "MIT" ]

1

2021-01-17T14:12:43.000Z

# install.py # Version: 1.0.0 # Installs dependencies needed for FCW # Author: Nazmus Nasir # Website: https://www.easyprogramming.net import os from shutil import copy2 def install_dependencies(): print("================== Start Installing PIP and venv ==================") os.system("sudo apt install python3-pip python3-venv -y") print("================== Completed Installing PIP ==================") print("================== Start Updating PIP ==================") os.system("sudo pip3 install --upgrade pip") print("================== Completed Updating PIP ==================") print("================== Start Installing Setuptools and Libatlas ==================") os.system("sudo apt install python-setuptools libatlas-base-dev -y") print("================== Completed Installing Setuptools and Libatlas ==================") print("================== Start Installing Fortran ==================") os.system("sudo apt install libatlas3-base libgfortran5 -y") print("================== Completed Installing Fortran ==================") print("================== Start Installing rpi_ws281x ==================") os.system("sudo pip3 install rpi_ws281x") print("================== Completed Installing rpi_ws281x ==================") print("================== Start Installing Apache ==================") os.system("sudo apt install apache2 -y") print("================== Completed Installing Apache ==================") print("================== Start Installing Mod WSGI ==================") os.system("sudo apt install libapache2-mod-wsgi-py3 -y") print("================== Completed Installing Mod WSGI ==================") install_dependencies()

40.767442

95

0.503708

157

1,753

5.592357

0.350318

0.079727

0.095672

0.085421

0.177677

0

0.014521

0.135767

1,753

42

96

41.738095

0.565017

0.070736

0

0.738594

0.01418

0

1

0.04

true

0

0.08

0

0.12

0.56

0

null

0

1

0

null

0

1

0

1

0

3

3344e7fbcc20c1b88448cf2bc6b2cea4cf5be780

331

py

Python

Part_3_advanced/m14_metaclass/register_cls/homework_1_solution/example_system/bike.py

Mikma03/InfoShareacademy_Python_Courses

3df1008c8c92831bebf1625f960f25b39d6987e6

[ "MIT" ]

null

Part_3_advanced/m14_metaclass/register_cls/homework_1_solution/example_system/bike.py

Mikma03/InfoShareacademy_Python_Courses

3df1008c8c92831bebf1625f960f25b39d6987e6

[ "MIT" ]

null

Part_3_advanced/m14_metaclass/register_cls/homework_1_solution/example_system/bike.py

Mikma03/InfoShareacademy_Python_Courses

3df1008c8c92831bebf1625f960f25b39d6987e6

[ "MIT" ]

null

from example_system.serializable import RegisteredSerializable class Bike(RegisteredSerializable): def __init__(self, brand: str, model: str) -> None: super().__init__(brand, model) self.brand = brand self.model = model def __str__(self) -> str: return f"Bike: {self.brand} {self.model}"

27.583333

62

0.667674

38

331

5.473684

0.473684

0.129808

0.134615

0

0.220544

331

11

63

30.090909

0.806202

0

0.093656

0

1

0.25

false

0

0.125

0.625

0

null

0

null

0

1

0

1

0

3

334572d04bea77a18ada43a30928987b98727f24

107

py

Python

authentication/authenticator.py

gabrielbazan/http_auth

5d86669ead6beedd8d980031d09d7dedfc1033fd

[ "MIT" ]

null

authentication/authenticator.py

gabrielbazan/http_auth

5d86669ead6beedd8d980031d09d7dedfc1033fd

[ "MIT" ]

null

authentication/authenticator.py

gabrielbazan/http_auth

5d86669ead6beedd8d980031d09d7dedfc1033fd

[ "MIT" ]

null

class Authenticator(object): def authenticate(self, credentials): raise NotImplementedError()

21.4

40

0.728972

9

107

8.666667

1

0

0.186916

107

4

41

26.75

0.896552

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

3

3349c42d9a6787f22dabc4fb2936a9e909a361bb

121

py

Python

EX10 dolar carteira.py

RODRIGOKTK/Python-exercicios

f7985f2c277aae8b158bdeea4f2493febaaf06c5

[ "Unlicense" ]

null

EX10 dolar carteira.py

RODRIGOKTK/Python-exercicios

f7985f2c277aae8b158bdeea4f2493febaaf06c5

[ "Unlicense" ]

null

EX10 dolar carteira.py

RODRIGOKTK/Python-exercicios

f7985f2c277aae8b158bdeea4f2493febaaf06c5

[ "Unlicense" ]

null

carteira=float(input('Quanto tem na carteira: ')) dolar=3.27 print('Equivalente em dolares: %.2f ' %(carteira/dolar))

30.25

57

0.702479

17

121

5

0.823529

0.305882

0

0.037736

0.123967

121

3

58

40.333333

0.764151

0

0.449153

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

3

334e95ed5c389e7fbe37935a81f7aca297e6dd30

2,367

py

Python

tests/factorys.py

ireneontheway5/pymilvus

b812449a98602b4370b3b3430bdeb18b24035e53

[ "Apache-2.0" ]

null

tests/factorys.py

ireneontheway5/pymilvus

b812449a98602b4370b3b3430bdeb18b24035e53

[ "Apache-2.0" ]

null

tests/factorys.py

ireneontheway5/pymilvus

b812449a98602b4370b3b3430bdeb18b24035e53

[ "Apache-2.0" ]

null

# STL imports import random import logging import string import time import datetime import random import struct import sys from functools import wraps # Third party imports import numpy as np import faker from faker.providers import BaseProvider logging.getLogger('faker').setLevel(logging.ERROR) sys.path.append('.') def gen_vectors(num, dim): return [[random.random() for _ in range(dim)] for _ in range(num)] def gen_single_vector(dim): return [[random.random() for _ in range(dim)]] def gen_vector(nb, d, seed=np.random.RandomState(1234)): xb = seed.rand(nb, d).astype("float32") return xb.tolist() def gen_unique_str(str=None): prefix = "".join(random.choice(string.ascii_letters + string.digits) for _ in range(8)) return prefix if str is None else str + "_" + prefix def get_current_day(): return time.strftime('%Y-%m-%d', time.localtime()) def get_last_day(day): tmp = datetime.datetime.now() - datetime.timedelta(days=day) return tmp.strftime('%Y-%m-%d') def get_next_day(day): tmp = datetime.datetime.now() + datetime.timedelta(days=day) return tmp.strftime('%Y-%m-%d') def gen_long_str(num): string = '' for _ in range(num): char = random.choice('tomorrow') string += char class FakerProvider(BaseProvider): def collection_name(self): return 'collection_names' + str(random.randint(1000, 9999)) def name(self): return 'name' + str(random.randint(1000, 9999)) def dim(self): return random.randint(0, 999) fake = faker.Faker() fake.add_provider(FakerProvider) def collection_name_factory(): return fake.collection_name() def records_factory(dimension, nq): return [[random.random() for _ in range(dimension)] for _ in range(nq)] def binary_records_factory(dim, nq): # uint8 values range is [0, 256), so we specify the high range is 256. xnb = np.random.randint(256, size=[nq, (dim // 8)], dtype="uint8") xb = [bytes(b) for b in xnb] return xb def integer_factory(nq): return [random.randint(0, 128) for _ in range(nq)] def time_it(func): @wraps(func) def inner(*args, **kwrgs): pref = time.perf_counter() result = func(*args, **kwrgs) delt = time.perf_counter() - pref print(f"[{func.__name__}][{delt:.4}s]") return result return inner

22.330189

91

0.669624

338

2,367

4.568047

0.366864

0.025907

0.051813

0.040803

0.213731

0.194301

0.141192

0.09715

0

0.02361

0.194761

2,367

105

92

22.542857

0.786464

0.042248

0

0.061538

0

0.044189

0.012815

0

1

0.261538

false

0

0.184615

0.138462

0.707692

0.015385

0

null

0

null

0

1

0

1

0

3

3367ac8d7631adea65a66b8a1b9f9c5b430f34ba

335

py

Python

src/eduid_graphdb/exceptions.py

SUNET/eduid-groupdb

c9b4631ff944211eab82595f005bc7e707142216

[ "BSD-3-Clause" ]

1

2020-09-05T03:14:37.000Z

src/eduid_graphdb/exceptions.py

SUNET/eduid-graphdb

c9b4631ff944211eab82595f005bc7e707142216

[ "BSD-3-Clause" ]

null

src/eduid_graphdb/exceptions.py

SUNET/eduid-graphdb

c9b4631ff944211eab82595f005bc7e707142216

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- __author__ = 'lundberg' class EduIDGroupDBError(Exception): pass class VersionMismatch(EduIDGroupDBError): pass class MultipleReturnedError(EduIDGroupDBError): pass class MultipleUsersReturned(MultipleReturnedError): pass class MultipleGroupsReturned(MultipleReturnedError): pass

13.958333

52

0.758209

25

335

10

0.52

0.144

0.208

0

0.003559

0.161194

335

23

53

14.565217

0.886121

0.062687

0

0.454545

0

0.025641

0

1

0

false

0.454545

0

0.454545

0

1

0

null

0

1

0

null

0

1

0

3

681d29014f10010799276f1e756503fc734bd148

21

py

Python

portfolio/Python/scrapy/loi/__init__.py

0--key/lib

ba7a85dda2b208adc290508ca617bdc55a5ded22

[ "Apache-2.0" ]

null

portfolio/Python/scrapy/loi/__init__.py

0--key/lib

ba7a85dda2b208adc290508ca617bdc55a5ded22

[ "Apache-2.0" ]

null

portfolio/Python/scrapy/loi/__init__.py

0--key/lib

ba7a85dda2b208adc290508ca617bdc55a5ded22

[ "Apache-2.0" ]

5

2016-03-22T07:40:46.000Z

2021-05-30T16:12:21.000Z

ACCOUNT_NAME = 'Loi'

10.5

20

0.714286

3

21

4.666667

1

0

0.142857

21

1

21

0.777778

0

0.142857

0

1

0

false

0

1

0

null

0

1

0

null

0

3

681e352b042459db2c73a2cf9e2013e8047fcc1a

600

py

Python

tests/test_parametrized_circuit.py

mdrft/Blueqat

878d24e2038063e32b4d391a03bc2c2be0600470

[ "Apache-2.0" ]

25

2018-09-16T22:54:48.000Z

2019-02-22T01:21:30.000Z

tests/test_parametrized_circuit.py

mdrft/blueqat

6c5f26b377bc3ce0d02adec8b9132d70870b3d95

[ "Apache-2.0" ]

22

2018-09-20T02:47:56.000Z

2019-02-08T05:25:30.000Z

tests/test_parametrized_circuit.py

mdrft/blueqat

6c5f26b377bc3ce0d02adec8b9132d70870b3d95

[ "Apache-2.0" ]

5

2018-10-23T04:56:04.000Z

2019-02-13T14:02:31.000Z

from blueqat import Circuit, ParametrizedCircuit def compare_circuit(c1: Circuit, c2: Circuit) -> bool: return repr(c1) == repr(c2) def test_parametrized1(): assert compare_circuit( ParametrizedCircuit().ry('a')[0].rz('b')[0].subs([1.2, 3.4]), Circuit().ry(1.2)[0].rz(3.4)[0]) def test_parametrized2(): assert compare_circuit( ParametrizedCircuit().ry('a')[0].rz('b')[0].subs({'a': 1.2, 'b': 3.4}), Circuit().ry(1.2)[0].rz(3.4)[0]) def test_parametrized3(): assert compare_circuit( ParametrizedCircuit().subs([]), Circuit() )

26.086957

79

0.605

83

600

4.289157

0.325301

0.292135

0.168539

0.328652

0.432584

0

0.063655

0.188333

600

22

80

27.272727

0.667351

0

0.3125

0

0.01

0

0.1875

1

0.25

false

0

0.0625

0.375

0

null

1

0

1

0

null

0

1

0

3

682755414252899eae0fb1b519e05847d5ff143c

56

py

Python

djangoautoconf/keys_default/admin_account_template.py

weijia/djangoautoconf

590acfdcc6a3e051a2048ba1dbf980f908a7af91

[ "BSD-3-Clause" ]

null

djangoautoconf/keys_default/admin_account_template.py

weijia/djangoautoconf

590acfdcc6a3e051a2048ba1dbf980f908a7af91

[ "BSD-3-Clause" ]

null

djangoautoconf/keys_default/admin_account_template.py

weijia/djangoautoconf

590acfdcc6a3e051a2048ba1dbf980f908a7af91

[ "BSD-3-Clause" ]

null

admin_username = "richard" admin_password = "richard666"

28

29

0.803571

6

56

7.166667

0.833333

0

0.058824

0.089286

56

2

29

28

0.784314

0

0.298246

0

1

0

false

0.5

0

1

0

null

0

1

0

null

0

1

0

3

682eb91e753309f5167c5c3ce7b313c8b3f7ea9a

120

py

Python

Oefeningen/standalone/list_comprehension_4.py

Seviran/Python_3

e30ead250129d25bbc0a7ee2f6298775b2f4529a

[ "MIT" ]

null

Oefeningen/standalone/list_comprehension_4.py

Seviran/Python_3

e30ead250129d25bbc0a7ee2f6298775b2f4529a

[ "MIT" ]

null

Oefeningen/standalone/list_comprehension_4.py

Seviran/Python_3

e30ead250129d25bbc0a7ee2f6298775b2f4529a

[ "MIT" ]

null

string_input = "amazing" vowels = "aeiou" answer = [char for char in string_input if char not in vowels] print(answer)

20

62

0.741667

19

120

4.578947

0.631579

0.252874

0

0.166667

120

5

63

24

0.87

0

0.10084

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

3

6837cc30692c462a7a0c489ba23cd6a7b34c84cf

402

py

Python

db/db_connector.py

waynshang/stock_institution

72b0374ed148f1bdb4e276422a095411ab564455

[ "MIT" ]

1

2021-05-29T11:08:09.000Z

db/db_connector.py

waynshang/stock_institution

72b0374ed148f1bdb4e276422a095411ab564455

[ "MIT" ]

1

2021-08-03T12:36:46.000Z

db/db_connector.py

waynshang/stock_institution

72b0374ed148f1bdb4e276422a095411ab564455

[ "MIT" ]

null

from config import secret from utils import getLogger DEBUG = getLogger() class MysqlConnection: def __init__(self, database, server_name): self.host = secret[server_name]['mysql']['host'] self.port = secret[server_name]['mysql']['port'] self.username = secret[server_name]['mysql']['username'] self.password = secret[server_name]['mysql']['password'] self.database = database

33.5

60

0.711443

49

402

5.653061

0.408163

0.180505

0.231047

0.303249

0

0.141791

402

11

61

36.545455

0.802899

0

0.109453

0

1

0.1

false

0.1

0.2

0

0.4

0

null

0

1

0

null

0

1

0

3

684188842440f0302697bdfa81cff956f82483fa

266

py

Python

server/medication_icons/admin.py

nickdotreid/opioid-mat-decision-aid

bbc2a0d8931d59cd6ab64b0b845e88c8dc1af5d1

[ "MIT" ]

null

server/medication_icons/admin.py

nickdotreid/opioid-mat-decision-aid

bbc2a0d8931d59cd6ab64b0b845e88c8dc1af5d1

[ "MIT" ]

27

2018-09-30T07:59:21.000Z

2020-11-05T19:25:41.000Z

server/medication_icons/admin.py

nickdotreid/opioid-mat-decision-aid

bbc2a0d8931d59cd6ab64b0b845e88c8dc1af5d1

[ "MIT" ]

null

from django.contrib import admin from imagekit.admin import AdminThumbnail from .models import Icon @admin.register(Icon) class IconAdmin(admin.ModelAdmin): list_display = ('name', 'icon_thumbnail') icon_thumbnail = AdminThumbnail(image_field='thumbnail')

26.6

60

0.785714

32

266

6.40625

0.59375

0.126829

0

0.120301

266

9

61

29.555556

0.876068

0

0.101504

0

1

0

false

0

0.428571

0

0.857143

0

null

0

1

0

null

0

1

0

1

0

3

6842dd797c24725a8fb09ac24488ca4ad6bea4a3

245

py

Python

dlutils/models/sklearn/classification.py

chelseajohn/dlapplication

d2eaba9077320f5a33e122b99691577fe899e1d6

[ "Apache-2.0" ]

2

2020-05-07T05:08:54.000Z

2020-05-13T10:14:53.000Z

dlutils/models/sklearn/classification.py

chelseajohn/dlapplication

d2eaba9077320f5a33e122b99691577fe899e1d6

[ "Apache-2.0" ]

null

dlutils/models/sklearn/classification.py

chelseajohn/dlapplication

d2eaba9077320f5a33e122b99691577fe899e1d6

[ "Apache-2.0" ]

3

2020-05-06T18:49:37.000Z

2020-07-13T05:11:56.000Z

def getSKLearnLogisticRegression(self, regParam, dim=1): from DLplatform.learning.batch.sklearnClassifiers import LogisticRegression learner = LogisticRegression(regParam = regParam, dim = dim) return learner

49

83

0.718367

21

245

8.380952

0.714286

0.125

0

0.005236

0.220408

245

5

84

49

0.91623

0

null

0

0.25

null

0

1

0

null

0

1

0

null

0

1

0

3

68587aa670f83d82520736428332f2bf416f400e

254

py

Python

funcion_mutacion.py

J0SU3IC3/Proyecto_Algoritmo_Genetico

bcf98d335def651726b17154624c96ee3b8cfdeb

[ "BSD-2-Clause" ]

null

funcion_mutacion.py

J0SU3IC3/Proyecto_Algoritmo_Genetico

bcf98d335def651726b17154624c96ee3b8cfdeb

[ "BSD-2-Clause" ]

null

funcion_mutacion.py

J0SU3IC3/Proyecto_Algoritmo_Genetico

bcf98d335def651726b17154624c96ee3b8cfdeb

[ "BSD-2-Clause" ]

null

import random def mutacion(indiv): alea_1=random.randint(0,len(indiv)-1) alea_2 = random.randint(0, len(indiv)-1) interc_1=indiv[alea_1] interc_2=indiv[alea_2] indiv[alea_1] = interc_2 indiv[alea_2] = interc_1 return indiv

19.538462

44

0.681102

43

254

3.790698

0.302326

0.276074

0.184049

0.208589

0.613497

0.331288

0

0.068627

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254

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685f6ab1c2d0c0bbd4bb81f5a339300b7344f2f1

258

py

Python

placement/serializers.py

uditpd3000/SCP-Backend

604c9040faf5652d31bf923d647684ff8f272dc7

[ "Apache-2.0" ]

5

2021-06-21T18:36:56.000Z

2021-08-04T04:07:56.000Z

placement/serializers.py

uditpd3000/SCP-Backend

604c9040faf5652d31bf923d647684ff8f272dc7

[ "Apache-2.0" ]

23

2021-05-31T13:41:13.000Z

2021-07-23T08:12:17.000Z

placement/serializers.py

uditpd3000/SCP-Backend

604c9040faf5652d31bf923d647684ff8f272dc7

[ "Apache-2.0" ]

30

2021-05-31T10:53:14.000Z

2022-03-01T12:56:36.000Z

from rest_framework import serializers from .models import Placement class PlacementSerializer(serializers.ModelSerializer): class Meta: model = Placement fields = ("key", "placement_name", "company", "role", "description", "deadline")

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null

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1

0

null

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1

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6862d3264687638cc92a1818114ac16c66aeabc5

688

py

Python

classifier/cal.py

EnviewFulda/SeagrassExplorer

0f6a0e15d1ffb8220e951c52ec1634e7a0763f4e

[ "BSD-2-Clause" ]

null

classifier/cal.py

EnviewFulda/SeagrassExplorer

0f6a0e15d1ffb8220e951c52ec1634e7a0763f4e

[ "BSD-2-Clause" ]

null

classifier/cal.py

EnviewFulda/SeagrassExplorer

0f6a0e15d1ffb8220e951c52ec1634e7a0763f4e

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python import numpy as np def ini(): '''initialization Args: Returns: ''' pass def accuracy(Yte_predict, Yte): '''verification of the correct label with the predicted one Args: Yte_predict (list): predicted labels (by computer) Yte (list): true labels (by human) Returns: accuracy (list): congruity ''' return np.mean(Yte_predict == Yte) def ratio(Yte_predict): '''Percentage portion of array Args: Yte_predict (list): predicted labels (by computer) Returns: accuracy (list): relative part of the labels "1" in the array ''' return np.mean(Yte_predict == 1)

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null

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686a214c567ebd3ab53753f4ce246c0fac04cd72

109

py

Python

Python/Arrays/Solution.py

chessmastersan/HackerRank

850319e6f79e7473afbb847d28edde7b2cdfc37d

[ "MIT" ]

2

2019-08-07T19:58:20.000Z

2019-08-27T00:06:09.000Z

Python/Arrays/Solution.py

chessmastersan/HackerRank

850319e6f79e7473afbb847d28edde7b2cdfc37d

[ "MIT" ]

1

2020-06-11T19:09:48.000Z

Python/Arrays/Solution.py

chessmastersan/HackerRank

850319e6f79e7473afbb847d28edde7b2cdfc37d

[ "MIT" ]

7

2019-08-27T00:06:11.000Z

2021-12-11T10:01:45.000Z

#author SANKALP SAXENA def arrays(arr): arr.reverse() l = numpy.array(arr, float) return l

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109

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109

9

32

12.111111

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0.25

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null

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1

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null

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1

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3

6892e2003fc1c2b7ef39326cbcdfaa61a234e1ef

185

py

Python

insights_messaging/downloaders/localfs.py

dpensi/insights-core-messaging

a964cecdf5cbb57407dae9e9208a31fc5e9318e4

[ "Apache-2.0" ]

6

2019-12-12T14:19:30.000Z

2020-04-08T16:20:04.000Z

insights_messaging/downloaders/localfs.py

dpensi/insights-core-messaging

a964cecdf5cbb57407dae9e9208a31fc5e9318e4

[ "Apache-2.0" ]

14

2020-01-27T17:04:39.000Z

2021-03-16T15:18:30.000Z

insights_messaging/downloaders/localfs.py

dpensi/insights-core-messaging

a964cecdf5cbb57407dae9e9208a31fc5e9318e4

[ "Apache-2.0" ]

13

2019-12-16T09:32:38.000Z

2021-05-05T12:39:38.000Z

import os from contextlib import contextmanager class LocalFS: @contextmanager def get(self, src): path = os.path.realpath(os.path.expanduser(src)) yield path

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5.521739

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185

9

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null

0

1

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null

0

1

0

3

68b43353f299ef2ed5654c73d7e6db582ed331bb

132

py

Python

src/clarityv2/homepage/urls.py

Clarity-89/clarityv2

7c4af765c5473778fc0750d1505f8b5f1724e5c5

[ "MIT" ]

null

src/clarityv2/homepage/urls.py

Clarity-89/clarityv2

7c4af765c5473778fc0750d1505f8b5f1724e5c5

[ "MIT" ]

1

2022-03-11T23:38:16.000Z

src/clarityv2/homepage/urls.py

Clarity-89/clarityv2

7c4af765c5473778fc0750d1505f8b5f1724e5c5

[ "MIT" ]

null

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

16.5

50

0.704545

16

132

5.75

0.75

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132

7

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false

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null

0

1

0

null

0

1

0

3

d7a7c1b8bf94815da1b2a43d746bb8543d773174

1,106

py

Python

Cita.py

Desquivel501/Backend_Proyecto2_IPC1

b983682eef4bcc379f6d57bf034675bf623fb33d

[ "Apache-2.0" ]

null

Cita.py

Desquivel501/Backend_Proyecto2_IPC1

b983682eef4bcc379f6d57bf034675bf623fb33d

[ "Apache-2.0" ]

null

Cita.py

Desquivel501/Backend_Proyecto2_IPC1

b983682eef4bcc379f6d57bf034675bf623fb33d

[ "Apache-2.0" ]

null

class Cita: def __init__(self,id,solicitante,fecha,hora,motivo,estado,doctor): self.id = id self.solicitante = solicitante self.fecha = fecha self.hora = hora self.motivo = motivo self.estado = estado self.doctor = doctor def getId(self): return self.id def getSolicitante(self): return self.solicitante def getFecha(self): return self.fecha def getHora(self): return self.hora def getMotivo(self): return self.motivo def getEstado(self): return self.estado def getDoctor(self): return self.doctor def setSolicitante(self,solicitante): self.solicitante = solicitante def setFecha(self,fecha): self.fecha = fecha def setHora(self,hora): self.hora = hora def setMotivo(self,motivo): self.motivo = motivo def setEstado(self,estado): self.estado = estado def setDoctor(self,doctor): self.doctor = doctor

20.867925

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5.333333

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0.157051

0

0.351718

1,106

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false

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null

0

null

0

1

0

1

0

3

d7b71be599126f3487b3d6c940f7c879926c6044

1,491

py

Python

gravityspytools/search/models.py

Gravity-Spy/gravityspytools

23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0

[ "BSD-3-Clause" ]

4

2019-03-11T12:32:24.000Z

2020-12-01T06:31:39.000Z

gravityspytools/search/models.py

johnwick211/gravityspytools

23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0

[ "BSD-3-Clause" ]

19

2018-01-29T21:28:39.000Z

2020-07-14T18:38:23.000Z

gravityspytools/search/models.py

johnwick211/gravityspytools

23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0

[ "BSD-3-Clause" ]

4

2018-02-02T16:47:16.000Z

2020-12-01T06:31:49.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models from django.contrib.auth.models import User from django.contrib.postgres.fields import ArrayField # Create your models here. """ class NewSearch(models.Model): SINGLEVIEW = 'similarityindex' MULTIVIEW = 'updated_similarity_index' DATABASE_CHOICES = ( (MULTIVIEW, 'Multiview Model'), (SINGLEVIEW, 'Single View Model'), ) H1 = "\'H1\'" H1L1 = "\'H1\', \'L1\'" H1L1V1 = "\'H1\', \'L1\', \'V1\'" L1 = "\'L1\'" L1V1 = "\'L1\', \'V1\'" V1 = "\'V1\'" IFO_CHOICES = ( (H1L1, 'H1 L1'), (H1, 'H1'), (H1L1V1, 'H1 L1 V1'), (L1, 'L1'), (L1V1, 'L1 V1'), (V1, 'V1'), ) database = models.ChoiceField(choices=DATABASE_CHOICES,) howmany = models.IntegerField(label='How many similar images would you like to return', max_value=500, min_value=1) zooid = models.CharField(label = 'This is the Zooniverse assigned random ID of the image (an integer value)', max_length=10, required=False) imageid = models.CharField(label='The GravitySpy uniqueid (this is the 10 character hash that uniquely identifies all gravity spy images)', max_length=10, required=False) ifo = models.ChoiceField(choices=IFO_CHOICES,) user = models.ForeignKey(User) new_subjects = ArrayField(models.CharField(max_length=10), blank=True) created_at = models.DateTimeField(auto_now_add=True) """

31.723404

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1,491

5.130435

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null

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1

0

1

0

1

0

3

cc14238d3a5df01ff014ec40e1bf90f7a196fccb

18,170

py

Python

python/examples/kaitai/msgpack.py

carsonharmon/binaryninja-api

f7ad332ad69d370aa29cd54f4c7307da4d9173e2

[ "MIT" ]

1

2021-04-05T15:01:23.000Z

python/examples/kaitai/msgpack.py

carsonharmon/binaryninja-api

f7ad332ad69d370aa29cd54f4c7307da4d9173e2

[ "MIT" ]

null

python/examples/kaitai/msgpack.py

carsonharmon/binaryninja-api

f7ad332ad69d370aa29cd54f4c7307da4d9173e2

[ "MIT" ]

1

2021-06-10T04:27:19.000Z

# This is a generated file! Please edit source .ksy file and use kaitai-struct-compiler to rebuild from pkg_resources import parse_version from .kaitaistruct import __version__ as ks_version, KaitaiStruct, KaitaiStream, BytesIO import collections if parse_version(ks_version) < parse_version('0.7'): raise Exception("Incompatible Kaitai Struct Python API: 0.7 or later is required, but you have %s" % (ks_version)) class Msgpack(KaitaiStruct): """MessagePack (msgpack) is a system to serialize arbitrary structured data into a compact binary stream. .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md """ SEQ_FIELDS = ["b1", "int_extra", "float_32_value", "float_64_value", "str_len_8", "str_len_16", "str_len_32", "str_value", "num_array_elements_16", "num_array_elements_32", "array_elements", "num_map_elements_16", "num_map_elements_32", "map_elements"] def __init__(self, _io, _parent=None, _root=None): self._io = _io self._parent = _parent self._root = _root if _root else self self._debug = collections.defaultdict(dict) def _read(self): self._debug['b1']['start'] = self._io.pos() self.b1 = self._io.read_u1() self._debug['b1']['end'] = self._io.pos() self._debug['int_extra']['start'] = self._io.pos() _on = self.b1 if _on == 211: self.int_extra = self._io.read_s8be() elif _on == 209: self.int_extra = self._io.read_s2be() elif _on == 210: self.int_extra = self._io.read_s4be() elif _on == 208: self.int_extra = self._io.read_s1() elif _on == 205: self.int_extra = self._io.read_u2be() elif _on == 207: self.int_extra = self._io.read_u8be() elif _on == 204: self.int_extra = self._io.read_u1() elif _on == 206: self.int_extra = self._io.read_u4be() self._debug['int_extra']['end'] = self._io.pos() if self.is_float_32: self._debug['float_32_value']['start'] = self._io.pos() self.float_32_value = self._io.read_f4be() self._debug['float_32_value']['end'] = self._io.pos() if self.is_float_64: self._debug['float_64_value']['start'] = self._io.pos() self.float_64_value = self._io.read_f8be() self._debug['float_64_value']['end'] = self._io.pos() if self.is_str_8: self._debug['str_len_8']['start'] = self._io.pos() self.str_len_8 = self._io.read_u1() self._debug['str_len_8']['end'] = self._io.pos() if self.is_str_16: self._debug['str_len_16']['start'] = self._io.pos() self.str_len_16 = self._io.read_u2be() self._debug['str_len_16']['end'] = self._io.pos() if self.is_str_32: self._debug['str_len_32']['start'] = self._io.pos() self.str_len_32 = self._io.read_u4be() self._debug['str_len_32']['end'] = self._io.pos() if self.is_str: self._debug['str_value']['start'] = self._io.pos() self.str_value = (self._io.read_bytes(self.str_len)).decode(u"UTF-8") self._debug['str_value']['end'] = self._io.pos() if self.is_array_16: self._debug['num_array_elements_16']['start'] = self._io.pos() self.num_array_elements_16 = self._io.read_u2be() self._debug['num_array_elements_16']['end'] = self._io.pos() if self.is_array_32: self._debug['num_array_elements_32']['start'] = self._io.pos() self.num_array_elements_32 = self._io.read_u4be() self._debug['num_array_elements_32']['end'] = self._io.pos() if self.is_array: self._debug['array_elements']['start'] = self._io.pos() self.array_elements = [None] * (self.num_array_elements) for i in range(self.num_array_elements): if not 'arr' in self._debug['array_elements']: self._debug['array_elements']['arr'] = [] self._debug['array_elements']['arr'].append({'start': self._io.pos()}) _t_array_elements = Msgpack(self._io) _t_array_elements._read() self.array_elements[i] = _t_array_elements self._debug['array_elements']['arr'][i]['end'] = self._io.pos() self._debug['array_elements']['end'] = self._io.pos() if self.is_map_16: self._debug['num_map_elements_16']['start'] = self._io.pos() self.num_map_elements_16 = self._io.read_u2be() self._debug['num_map_elements_16']['end'] = self._io.pos() if self.is_map_32: self._debug['num_map_elements_32']['start'] = self._io.pos() self.num_map_elements_32 = self._io.read_u4be() self._debug['num_map_elements_32']['end'] = self._io.pos() if self.is_map: self._debug['map_elements']['start'] = self._io.pos() self.map_elements = [None] * (self.num_map_elements) for i in range(self.num_map_elements): if not 'arr' in self._debug['map_elements']: self._debug['map_elements']['arr'] = [] self._debug['map_elements']['arr'].append({'start': self._io.pos()}) _t_map_elements = self._root.MapTuple(self._io, self, self._root) _t_map_elements._read() self.map_elements[i] = _t_map_elements self._debug['map_elements']['arr'][i]['end'] = self._io.pos() self._debug['map_elements']['end'] = self._io.pos() class MapTuple(KaitaiStruct): SEQ_FIELDS = ["key", "value"] def __init__(self, _io, _parent=None, _root=None): self._io = _io self._parent = _parent self._root = _root if _root else self self._debug = collections.defaultdict(dict) def _read(self): self._debug['key']['start'] = self._io.pos() self.key = Msgpack(self._io) self.key._read() self._debug['key']['end'] = self._io.pos() self._debug['value']['start'] = self._io.pos() self.value = Msgpack(self._io) self.value._read() self._debug['value']['end'] = self._io.pos() @property def is_array_32(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-array """ if hasattr(self, '_m_is_array_32'): return self._m_is_array_32 if hasattr(self, '_m_is_array_32') else None self._m_is_array_32 = self.b1 == 221 return self._m_is_array_32 if hasattr(self, '_m_is_array_32') else None @property def int_value(self): if hasattr(self, '_m_int_value'): return self._m_int_value if hasattr(self, '_m_int_value') else None if self.is_int: self._m_int_value = (self.pos_int7_value if self.is_pos_int7 else (self.neg_int5_value if self.is_neg_int5 else 4919)) return self._m_int_value if hasattr(self, '_m_int_value') else None @property def str_len(self): if hasattr(self, '_m_str_len'): return self._m_str_len if hasattr(self, '_m_str_len') else None if self.is_str: self._m_str_len = ((self.b1 & 31) if self.is_fix_str else (self.str_len_8 if self.is_str_8 else (self.str_len_16 if self.is_str_16 else self.str_len_32))) return self._m_str_len if hasattr(self, '_m_str_len') else None @property def is_fix_array(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-array """ if hasattr(self, '_m_is_fix_array'): return self._m_is_fix_array if hasattr(self, '_m_is_fix_array') else None self._m_is_fix_array = (self.b1 & 240) == 144 return self._m_is_fix_array if hasattr(self, '_m_is_fix_array') else None @property def is_map(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-map """ if hasattr(self, '_m_is_map'): return self._m_is_map if hasattr(self, '_m_is_map') else None self._m_is_map = ((self.is_fix_map) or (self.is_map_16) or (self.is_map_32)) return self._m_is_map if hasattr(self, '_m_is_map') else None @property def is_array(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-array """ if hasattr(self, '_m_is_array'): return self._m_is_array if hasattr(self, '_m_is_array') else None self._m_is_array = ((self.is_fix_array) or (self.is_array_16) or (self.is_array_32)) return self._m_is_array if hasattr(self, '_m_is_array') else None @property def is_float(self): if hasattr(self, '_m_is_float'): return self._m_is_float if hasattr(self, '_m_is_float') else None self._m_is_float = ((self.is_float_32) or (self.is_float_64)) return self._m_is_float if hasattr(self, '_m_is_float') else None @property def is_str_8(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-str """ if hasattr(self, '_m_is_str_8'): return self._m_is_str_8 if hasattr(self, '_m_is_str_8') else None self._m_is_str_8 = self.b1 == 217 return self._m_is_str_8 if hasattr(self, '_m_is_str_8') else None @property def is_fix_map(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-map """ if hasattr(self, '_m_is_fix_map'): return self._m_is_fix_map if hasattr(self, '_m_is_fix_map') else None self._m_is_fix_map = (self.b1 & 240) == 128 return self._m_is_fix_map if hasattr(self, '_m_is_fix_map') else None @property def is_int(self): if hasattr(self, '_m_is_int'): return self._m_is_int if hasattr(self, '_m_is_int') else None self._m_is_int = ((self.is_pos_int7) or (self.is_neg_int5)) return self._m_is_int if hasattr(self, '_m_is_int') else None @property def is_bool(self): if hasattr(self, '_m_is_bool'): return self._m_is_bool if hasattr(self, '_m_is_bool') else None self._m_is_bool = ((self.b1 == 194) or (self.b1 == 195)) return self._m_is_bool if hasattr(self, '_m_is_bool') else None @property def is_str_16(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-str """ if hasattr(self, '_m_is_str_16'): return self._m_is_str_16 if hasattr(self, '_m_is_str_16') else None self._m_is_str_16 = self.b1 == 218 return self._m_is_str_16 if hasattr(self, '_m_is_str_16') else None @property def is_float_64(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-float """ if hasattr(self, '_m_is_float_64'): return self._m_is_float_64 if hasattr(self, '_m_is_float_64') else None self._m_is_float_64 = self.b1 == 203 return self._m_is_float_64 if hasattr(self, '_m_is_float_64') else None @property def is_map_16(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-map """ if hasattr(self, '_m_is_map_16'): return self._m_is_map_16 if hasattr(self, '_m_is_map_16') else None self._m_is_map_16 = self.b1 == 222 return self._m_is_map_16 if hasattr(self, '_m_is_map_16') else None @property def is_neg_int5(self): if hasattr(self, '_m_is_neg_int5'): return self._m_is_neg_int5 if hasattr(self, '_m_is_neg_int5') else None self._m_is_neg_int5 = (self.b1 & 224) == 224 return self._m_is_neg_int5 if hasattr(self, '_m_is_neg_int5') else None @property def pos_int7_value(self): if hasattr(self, '_m_pos_int7_value'): return self._m_pos_int7_value if hasattr(self, '_m_pos_int7_value') else None if self.is_pos_int7: self._m_pos_int7_value = self.b1 return self._m_pos_int7_value if hasattr(self, '_m_pos_int7_value') else None @property def is_nil(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-nil """ if hasattr(self, '_m_is_nil'): return self._m_is_nil if hasattr(self, '_m_is_nil') else None self._m_is_nil = self.b1 == 192 return self._m_is_nil if hasattr(self, '_m_is_nil') else None @property def float_value(self): if hasattr(self, '_m_float_value'): return self._m_float_value if hasattr(self, '_m_float_value') else None if self.is_float: self._m_float_value = (self.float_32_value if self.is_float_32 else self.float_64_value) return self._m_float_value if hasattr(self, '_m_float_value') else None @property def num_array_elements(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-array """ if hasattr(self, '_m_num_array_elements'): return self._m_num_array_elements if hasattr(self, '_m_num_array_elements') else None if self.is_array: self._m_num_array_elements = ((self.b1 & 15) if self.is_fix_array else (self.num_array_elements_16 if self.is_array_16 else self.num_array_elements_32)) return self._m_num_array_elements if hasattr(self, '_m_num_array_elements') else None @property def neg_int5_value(self): if hasattr(self, '_m_neg_int5_value'): return self._m_neg_int5_value if hasattr(self, '_m_neg_int5_value') else None if self.is_neg_int5: self._m_neg_int5_value = -((self.b1 & 31)) return self._m_neg_int5_value if hasattr(self, '_m_neg_int5_value') else None @property def bool_value(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-bool """ if hasattr(self, '_m_bool_value'): return self._m_bool_value if hasattr(self, '_m_bool_value') else None if self.is_bool: self._m_bool_value = self.b1 == 195 return self._m_bool_value if hasattr(self, '_m_bool_value') else None @property def is_pos_int7(self): if hasattr(self, '_m_is_pos_int7'): return self._m_is_pos_int7 if hasattr(self, '_m_is_pos_int7') else None self._m_is_pos_int7 = (self.b1 & 128) == 0 return self._m_is_pos_int7 if hasattr(self, '_m_is_pos_int7') else None @property def is_array_16(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-array """ if hasattr(self, '_m_is_array_16'): return self._m_is_array_16 if hasattr(self, '_m_is_array_16') else None self._m_is_array_16 = self.b1 == 220 return self._m_is_array_16 if hasattr(self, '_m_is_array_16') else None @property def is_str(self): if hasattr(self, '_m_is_str'): return self._m_is_str if hasattr(self, '_m_is_str') else None self._m_is_str = ((self.is_fix_str) or (self.is_str_8) or (self.is_str_16) or (self.is_str_32)) return self._m_is_str if hasattr(self, '_m_is_str') else None @property def is_fix_str(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-str """ if hasattr(self, '_m_is_fix_str'): return self._m_is_fix_str if hasattr(self, '_m_is_fix_str') else None self._m_is_fix_str = (self.b1 & 224) == 160 return self._m_is_fix_str if hasattr(self, '_m_is_fix_str') else None @property def is_str_32(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-str """ if hasattr(self, '_m_is_str_32'): return self._m_is_str_32 if hasattr(self, '_m_is_str_32') else None self._m_is_str_32 = self.b1 == 219 return self._m_is_str_32 if hasattr(self, '_m_is_str_32') else None @property def num_map_elements(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-map """ if hasattr(self, '_m_num_map_elements'): return self._m_num_map_elements if hasattr(self, '_m_num_map_elements') else None if self.is_map: self._m_num_map_elements = ((self.b1 & 15) if self.is_fix_map else (self.num_map_elements_16 if self.is_map_16 else self.num_map_elements_32)) return self._m_num_map_elements if hasattr(self, '_m_num_map_elements') else None @property def is_float_32(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-float """ if hasattr(self, '_m_is_float_32'): return self._m_is_float_32 if hasattr(self, '_m_is_float_32') else None self._m_is_float_32 = self.b1 == 202 return self._m_is_float_32 if hasattr(self, '_m_is_float_32') else None @property def is_map_32(self): """ .. seealso:: Source - https://github.com/msgpack/msgpack/blob/master/spec.md#formats-map """ if hasattr(self, '_m_is_map_32'): return self._m_is_map_32 if hasattr(self, '_m_is_map_32') else None self._m_is_map_32 = self.b1 == 223 return self._m_is_map_32 if hasattr(self, '_m_is_map_32') else None

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256

0.616346

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18,170

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0.059369

0.086215

0.087405

0.120702

0.815776

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0.623427

0.566544

0.512734

0.480032

0

0.032418

0.258118

18,170

466

257

38.991416

0.716172

0.10743

0

0.353535

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null

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1

0

1

0

null

0

3

cc17e63865e94c50206dc38b7367c698252eecb5

23

py

Python

FileUtils/__init__.py

cognitiveqe/cqepyutils

7d83f2bbe667294802c2ca9f20a42e1fa3e635d5

[ "MIT" ]

null

FileUtils/__init__.py

cognitiveqe/cqepyutils

7d83f2bbe667294802c2ca9f20a42e1fa3e635d5

[ "MIT" ]

null

FileUtils/__init__.py

cognitiveqe/cqepyutils

7d83f2bbe667294802c2ca9f20a42e1fa3e635d5

[ "MIT" ]

null

__all__ = ['FileUtils']

23

0.695652

2

23

6

1

0

0.086957

23

1

23

0.571429

0

0.375

0

1

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0

1

0

null

0

1

0

null

0

3

0bc7213c09c10b1bc55de9468af8657cffd677c7

1,020

py

Python

Tests/testApi.py

garnachod/ConcursoPolicia

f123595afc697ddfa862114a228d7351e2f8fd73

[ "Apache-2.0" ]

null

Tests/testApi.py

garnachod/ConcursoPolicia

f123595afc697ddfa862114a228d7351e2f8fd73

[ "Apache-2.0" ]

null

Tests/testApi.py

garnachod/ConcursoPolicia

f123595afc697ddfa862114a228d7351e2f8fd73

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import sys lib_path = os.path.abspath('../') sys.path.append(lib_path) from API.APITextos import APITextos if __name__ == '__main__': """ users = APITextos.getUsersSimilar_user_all_topic("Taxigate", "ar", 100, 1) for user in users: print user.screen_name + "\t"+ user.location users = APITextos.getUsersSimilar_user_all_topic("abosofyan7", "ar", 100, 1) for user in users: print user.screen_name + "\t"+ user.location print "" print "" users = APITextos.getUsersSimilar_user_all_topic("nightwalker_109", "ar", 100, 1) for user in users: print user.screen_name + "\t"+ user.location """ users = APITextos.getUsersSimilar_user_all_topic("@nvidia", "en", 100, 897) if users != False: for user in users: print user.screen_name + "\t"+ user.location """ users = APITextos.getUsersSimilar_text_all_topic("hola mundo", "es", 100, 714) if users != False: for user in users: print user.screen_name + "\t"+ user.location """

29.142857

83

0.67549

140

1,020

4.7

0.307143

0.106383

0.220365

0.106383

0.706687

0.582067

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0.034689

0.180392

1,020

35

84

29.142857

0.752392

0.020588

0

0.068966

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null

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0

1

0

1

0

null

0

1

0

3

0bcf6189d3d5a0a37bc27a9c69ab2228205c0630

5,103

py

Python

test/simple_imputation/test_logistic_regression.py

macarro/imputena

3a94ae1419a2af0d9707b20546ee078929ce99e8

[ "MIT" ]

6

2020-04-27T21:21:47.000Z

2022-03-30T03:02:54.000Z

test/simple_imputation/test_logistic_regression.py

macarro/imputena

3a94ae1419a2af0d9707b20546ee078929ce99e8

[ "MIT" ]

1

2021-07-01T18:49:27.000Z

test/simple_imputation/test_logistic_regression.py

macarro/imputena

3a94ae1419a2af0d9707b20546ee078929ce99e8

[ "MIT" ]

null

import unittest from imputena import logistic_regression from test.example_data import * class TestLogisticRegression(unittest.TestCase): # Positive tests ---------------------------------------------------------- def test_logistic_regression_returning(self): """ Positive test data: Correct data frame (df_breast_cancer) The data frame (df_breast_cancer) contains 15 NA values. logistic_regression() should impute 7 of them. Checks that the original series remains unmodified and that the returned series contains 8 NA values. """ # 1. Arrange df = generate_df_breast_cancer() # 2. Act df2 = logistic_regression(df, 'class', ['thickness', 'uniformity']) # 3. Assert self.assertEqual(df.isna().sum().sum(), 15) self.assertEqual(df2.isna().sum().sum(), 8) def test_logistic_regression_inplace(self): """ Positive test data: Correct data frame (df_breast_cancer) The data frame (df_breast_cancer) contains 15 NA values. logistic_regression() should impute 7 of them. Checks that the data frame contains 8 NA values after the operation. """ # 1. Arrange df = generate_df_breast_cancer() # 2. Act logistic_regression( df, 'class', ['thickness', 'uniformity'], inplace=True) # 3. Assert self.assertEqual(df.isna().sum().sum(), 8) def test_logistic_regression_implicit_predictors(self): """ Positive test data: Correct data frame (df_breast_cancer) predictors: None The data frame (df_breast_cancer) contains 15 NA values. logistic_regression() should impute 7 of them. Checks that the original series remains unmodified and that the returned series contains 8 NA values. """ # 1. Arrange df = generate_df_breast_cancer() # 2. Act df2 = logistic_regression(df, 'class') # 3. Assert self.assertEqual(df.isna().sum().sum(), 15) self.assertEqual(df2.isna().sum().sum(), 8) def test_logistic_regression_complete(self): """ Positive test data: Correct data frame (df_breast_cancer) regressions: 'complete' The data frame (df_breast_cancer) contains 15 NA values. logistic_regression() should impute 3 of them. Checks that the original series remains unmodified and that the returned series contains 12 NA values. """ # 1. Arrange df = generate_df_breast_cancer() # 2. Act df2 = logistic_regression( df, 'class', ['thickness', 'uniformity'], regressions='complete') # 3. Assert self.assertEqual(df.isna().sum().sum(), 15) self.assertEqual(df2.isna().sum().sum(), 12) # Negative tests ---------------------------------------------------------- def test_logistic_regression_wrong_type(self): """ Negative test data: array (unsupported type) Checks that the function raises a TypeError if the data is passed as an array. """ # 1. Arrange data = [2, 4, np.nan, 1] # 2. Act & 3. Assert with self.assertRaises(TypeError): logistic_regression(data) def test_logistic_regression_wrong_dependent(self): """ Negative test data: Correct data frame (df_breast_cancer) dependent: 'z' (not a column of df_breast_cancer) Checks that the function raises a ValueError if the column specified as the dependent variable doesn't exist in the data. """ # 1. Arrange df = generate_df_breast_cancer() # 2. Act & 3. Assert with self.assertRaises(ValueError): logistic_regression(df, 'z', ['thickness', 'uniformity']) def test_logistic_regression_wrong_predictor(self): """ Negative test data: Correct data frame (df_breast_cancer) predictors: ['thickness', 'z'] ('z' is not a column of df_breast_cancer) Checks that the function raises a ValueError if one of the column s specified as the predictor variables doesn't exist in the data. """ # 1. Arrange df = generate_df_breast_cancer() # 2. Act & 3. Assert with self.assertRaises(ValueError): logistic_regression(df, 'class', ['thickness', 'z']) def test_logistic_regression_wrong_regressions(self): """ Negative test data: Correct data frame (df_breast_cancer) regressions: 'z' (not a valid value) Checks that the function raises a ValueError if the value passed for the parameter regressions is not valid. """ # 1. Arrange df = generate_df_breast_cancer() # 2. Act & 3. Assert with self.assertRaises(ValueError): logistic_regression( df, 'class', ['thickness', 'uniformity'], regressions='z')

31.89375

79

0.600039

585

5,103

5.080342

0.174359

0.127187

0.094213

0.062921

0.796433

0.74428

0.720054

0.698856

0.678668

0.636945

0

0.016837

0.290025

5,103

159

80

32.09434

0.803478

0.447972

0

0.404762

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0

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1

0.190476

false

0

0.071429

0

0.285714

0

null

0

1

0

1

0

null

0

3

0bf1df4821a7ee776dde7f0d63b87186e9b1ce95

209

py

Python

djangox/lib/python3.8/site-packages/allauth/socialaccount/providers/draugiem/urls.py

DemarcusL/django_wiki_lab

3b7cf18af7e0f89c94d10eb953ca018a150a2f55

[ "MIT" ]

6,342

2015-01-01T07:40:30.000Z

2022-03-31T04:18:30.000Z

djangox/lib/python3.8/site-packages/allauth/socialaccount/providers/draugiem/urls.py

DemarcusL/django_wiki_lab

3b7cf18af7e0f89c94d10eb953ca018a150a2f55

[ "MIT" ]

2,198

2015-01-02T15:17:45.000Z

2022-03-28T10:20:43.000Z

djangox/lib/python3.8/site-packages/allauth/socialaccount/providers/draugiem/urls.py

DemarcusL/django_wiki_lab

3b7cf18af7e0f89c94d10eb953ca018a150a2f55

[ "MIT" ]

2,928

2015-01-01T10:44:13.000Z

2022-03-31T03:20:16.000Z

from django.urls import path from . import views urlpatterns = [ path("draugiem/login/", views.login, name="draugiem_login"), path("draugiem/callback/", views.callback, name="draugiem_callback"), ]

20.9

73

0.712919

25

209

5.88

0.44

0.163265

0

0.138756

209

9

74

23.222222

0.816667

0

0.30622

0

1

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false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

0403e4d350613ff44a670bf3891877f93092864d

324

py

Python

cryptodoge/cmds/units.py

grayfallstown-cryptodoge/cryptodoge

ffeb5218ce184a56073a5dc0ac5acddba3728bd4

[ "Apache-2.0" ]

10

2021-08-21T17:41:51.000Z

2022-02-09T04:28:12.000Z

cryptodoge/cmds/units.py

grayfallstown-cryptodoge/cryptodoge

ffeb5218ce184a56073a5dc0ac5acddba3728bd4

[ "Apache-2.0" ]

1

2021-12-15T21:23:38.000Z

cryptodoge/cmds/units.py

grayfallstown-cryptodoge/cryptodoge

ffeb5218ce184a56073a5dc0ac5acddba3728bd4

[ "Apache-2.0" ]

2

2021-08-21T18:22:59.000Z

2021-12-10T07:12:18.000Z

from typing import Dict # The rest of the codebase uses mojos everywhere. # Only use these units for user facing interfaces. units: Dict[str, int] = { "cryptodoge": 10 ** 6, # 1 cryptodoge (XCD) is 1,000,000 mojo (1 million) "mojo:": 1, "colouredcoin": 10 ** 3, # 1 coloured coin is 1000 colouredcoin mojos }

32.4

78

0.67284

49

324

4.44898

0.714286

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0

0.082677

0.216049

324

9

79

36

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0.580247

0

0.206107

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0.111111

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true

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null

0

1

0

null

0

1

0

1

0

3

0405fb654ca1caa004613619d41e36289a568124

853

bzl

Python

integration/bazel_workspace_tests/bazel_ngtsc_plugin/packages.bzl

John-Cassidy/angular

6375fa79875c0fe7b815efc45940a6e6f5c9c9eb

[ "MIT" ]

95,154

2015-01-01T04:52:07.000Z

2022-03-31T21:33:49.000Z

integration/bazel_workspace_tests/bazel_ngtsc_plugin/packages.bzl

John-Cassidy/angular

6375fa79875c0fe7b815efc45940a6e6f5c9c9eb

[ "MIT" ]

45,008

2015-01-03T23:36:09.000Z

2022-03-31T23:57:28.000Z

integration/bazel_workspace_tests/bazel_ngtsc_plugin/packages.bzl

John-Cassidy/angular

6375fa79875c0fe7b815efc45940a6e6f5c9c9eb

[ "MIT" ]

30,083

2015-01-02T20:55:07.000Z

2022-03-31T21:03:16.000Z

ANGULAR_PACKAGES_CONFIG = [ ("@angular/animations", struct(entry_points = ["browser"])), ("@angular/common", struct(entry_points = ["http/testing", "http", "testing"])), ("@angular/compiler", struct(entry_points = ["testing"])), ("@angular/core", struct(entry_points = ["testing"])), ("@angular/forms", struct(entry_points = [])), ("@angular/platform-browser", struct(entry_points = ["testing", "animations"])), ("@angular/platform-browser-dynamic", struct(entry_points = ["testing"])), ("@angular/router", struct(entry_points = [])), ] ANGULAR_PACKAGES = [ struct( name = name[len("@angular/"):], entry_points = config.entry_points, platform = config.platform if hasattr(config, "platform") else "browser", module_name = name, ) for name, config in ANGULAR_PACKAGES_CONFIG ]

40.619048

84

0.638921

87

853

6.08046

0.287356

0.20794

0.257089

0.181474

0.175803

0

0.168816

853

20

85

42.65

0.746121

0

0.284877

0.067995

0

1

0

false

0

null

1

0

null

0

3

044fa9bc2b971a59a7630fd706352bd033dc7523

2,761

py

Python

legacy/zero_training.py

GabrielePicco/pytorch-lightning

0d6dfd42d8965347a258e3d20e83bddd344e718f

[ "Apache-2.0" ]

4

2021-07-27T14:39:02.000Z

2022-03-07T10:57:13.000Z

legacy/zero_training.py

GabrielePicco/pytorch-lightning

0d6dfd42d8965347a258e3d20e83bddd344e718f

[ "Apache-2.0" ]

2

2021-07-03T07:07:32.000Z

2022-03-10T16:07:20.000Z

legacy/zero_training.py

GabrielePicco/pytorch-lightning

0d6dfd42d8965347a258e3d20e83bddd344e718f

[ "Apache-2.0" ]

1

2021-02-16T00:47:46.000Z

# Copyright The PyTorch Lightning team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import os import torch from torch.utils.data import Dataset import pytorch_lightning as pl PATH_LEGACY = os.path.dirname(__file__) class RandomDataset(Dataset): def __init__(self, size, length: int = 100): self.len = length self.data = torch.randn(length, size) def __getitem__(self, index): return self.data[index] def __len__(self): return self.len class DummyModel(pl.LightningModule): def __init__(self): super().__init__() self.layer = torch.nn.Linear(32, 2) def forward(self, x): return self.layer(x) def _loss(self, batch, prediction): # An arbitrary loss to have a loss that updates the model weights during `Trainer.fit` calls return torch.nn.functional.mse_loss(prediction, torch.ones_like(prediction)) def _step(self, batch, batch_idx): output = self.layer(batch) loss = self._loss(batch, output) # return {'loss': loss} # used for PL<1.0 return loss # used for PL >= 1.0 def training_step(self, batch, batch_idx): return self._step(batch, batch_idx) def validation_step(self, batch, batch_idx): self._step(batch, batch_idx) def test_step(self, batch, batch_idx): self._step(batch, batch_idx) def configure_optimizers(self): optimizer = torch.optim.SGD(self.layer.parameters(), lr=0.1) lr_scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=1) return [optimizer], [lr_scheduler] def train_dataloader(self): return torch.utils.data.DataLoader(RandomDataset(32, 64)) def val_dataloader(self): return torch.utils.data.DataLoader(RandomDataset(32, 64)) def test_dataloader(self): return torch.utils.data.DataLoader(RandomDataset(32, 64)) def main_train(dir_path, max_epochs: int = 5): trainer = pl.Trainer( default_root_dir=dir_path, checkpoint_callback=True, max_epochs=max_epochs, ) model = DummyModel() trainer.fit(model) if __name__ == '__main__': path_dir = os.path.join(PATH_LEGACY, 'checkpoints', str(pl.__version__)) main_train(path_dir)

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py

Python

tests/test_euclidean_distance.py

danielwardega141196/unittests-with-pytest

8dbedbe87fbfc5786856872dff6873395e6f4726

[ "MIT" ]

null

tests/test_euclidean_distance.py

danielwardega141196/unittests-with-pytest

8dbedbe87fbfc5786856872dff6873395e6f4726

[ "MIT" ]

null

tests/test_euclidean_distance.py

danielwardega141196/unittests-with-pytest

8dbedbe87fbfc5786856872dff6873395e6f4726

[ "MIT" ]

null

from application.euclidean_distance import euclidean_distance def test_euclidean_distance(): point_a = (0, 0) point_b = (3, 4) distance_between_a_and_b = euclidean_distance(point_a, point_b) assert distance_between_a_and_b == 5 point_c = (-2, 3) point_d = (2, 3) distance_between_c_and_d = euclidean_distance(point_c, point_d) assert distance_between_c_and_d == 4

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