xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

aa36eeeeb4a90c0aa0bc0cab9ddd3271c23ecf9a

3,206

py

Python

hseling-api-iceform/hseling_api_iceform/models.py

dkbrz/hseling-repo-iceform

581926a0dca3ec463eb59bada8eefa047f24b256

[ "MIT" ]

null

hseling-api-iceform/hseling_api_iceform/models.py

dkbrz/hseling-repo-iceform

581926a0dca3ec463eb59bada8eefa047f24b256

[ "MIT" ]

null

hseling-api-iceform/hseling_api_iceform/models.py

dkbrz/hseling-repo-iceform

581926a0dca3ec463eb59bada8eefa047f24b256

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ DB Models: Text Token TextContent - full corpus ClusterFilters - search NgramEntries - ngram entry coordinates """ from flask_sqlalchemy import SQLAlchemy from sqlalchemy import ForeignKey db = SQLAlchemy() class Text(db.Model): """ Table with text names (names of sagas) """ id = db.Column(db.Integer, primary_key=True) text_name = db.Column(db.Text) class Token(db.Model): """ Token word_form: form in text lemma: lemma """ id = db.Column(db.Integer, primary_key=True) word_form = db.Column(db.Text) lemma = db.Column(db.Text) pos = db.Column(db.Text) class TextContent(db.Model): """ TextContent text: foreign key (Text) chapter: chapter index paragraph: index of paragraph in chapter sentence: index of sentence in paragraph sentence_unique: unique sentence ID (in all texts) token: token object (with lemma and word form) text_obj: text with id and name """ id = db.Column(db.Integer, primary_key=True) text = db.Column(db.Integer, ForeignKey("text.id")) chapter = db.Column(db.Integer) paragraph = db.Column(db.Integer) sentence = db.Column(db.Integer) sentence_unique = db.Column(db.Integer) idx = db.Column(db.Integer) token_id = db.Column(db.Integer, ForeignKey("token.id")) # relationships token = db.relationship("Token", uselist=False, primaryjoin="Token.id==TextContent.token_id") text_obj = db.relationship("Text", uselist=False, primaryjoin="Text.id==TextContent.text") class ClusterFilters(db.Model): """ ClusterFilters cluster_id: unique cluster identifier short_ngram_id: POS model cluster: cluster id within short_ngram group unique_text: number of texts where this cluster occurs n_entries: number of entries (in all texts) text: textual representation """ id = db.Column(db.Integer, primary_key=True) cluster_id = db.Column(db.Integer) short_ngram_id = db.Column(db.Integer) cluster = db.Column(db.Integer) n_entries = db.Column(db.Integer) unique_text = db.Column(db.Integer) text = db.Column(db.Text) verb_text = db.Column(db.Text) class FinalClusters(db.Model): id = db.Column(db.Integer, primary_key=True) cluster_id = db.Column(db.Integer) short_ngram_id = db.Column(db.Integer) cluster = db.Column(db.Integer) n_entries = db.Column(db.Integer) unique_text = db.Column(db.Integer) text = db.Column(db.Text) verb_text = db.Column(db.Text) class NgramEntries(db.Model): """ NgramEntries - coordinates of ngram entries start, end: word indices of the first and last words """ id = db.Column(db.Integer, primary_key=True) short_ngram_id = db.Column(db.Integer) cluster_id = db.Column(db.Integer) text = db.Column(db.Integer, ForeignKey("text.id")) chapter = db.Column(db.Integer) paragraph = db.Column(db.Integer) sentence = db.Column(db.Integer) sentence_unique = db.Column(db.Integer) start = db.Column(db.Integer) end = db.Column(db.Integer) text_obj = db.relationship("Text", uselist=False, primaryjoin="Text.id==NgramEntries.text")

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null

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null

0

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aa43035bffecfb1cef00f4af24ebad0b85e2dbea

1,274

py

Python

stepik_selenium_final/pages/product_page.py

vshagur/stepik-selenium-final

86842dc5c23f87c846a02a3d6f18c89c94935f23

[ "MIT" ]

null

stepik_selenium_final/pages/product_page.py

vshagur/stepik-selenium-final

86842dc5c23f87c846a02a3d6f18c89c94935f23

[ "MIT" ]

null

stepik_selenium_final/pages/product_page.py

vshagur/stepik-selenium-final

86842dc5c23f87c846a02a3d6f18c89c94935f23

[ "MIT" ]

1

2020-07-12T11:57:17.000Z

from stepik_selenium_final.locators import ProductPageLocators from stepik_selenium_final.pages import BasePage class ProductPage(BasePage): def __init__(self, browser, url): super().__init__(browser, url) self.title = None self.price = None def add_product_to_cart(self): self.title = self.get_element(*ProductPageLocators.PRODUCT_TITLE).text self.price = self.get_element(*ProductPageLocators.PRODUCT_PRICE).text self.get_element(*ProductPageLocators.ADD_TO_CART_BUTTON).click() def check_message_product_added_to_cart(self): text = self.get_element(*ProductPageLocators.MESSAGE_PRODUCT_ADDED).text assert self.title == text def check_not_message_product_added_to_cart(self): assert self.is_not_element_present(*ProductPageLocators.MESSAGE_PRODUCT_ADDED), \ "Success message is presented, but should not be" def check_message_product_added_to_cart_is_disappearing(self): assert self.is_disappearing_element(*ProductPageLocators.MESSAGE_PRODUCT_ADDED), \ "Success message should disappear" def check_message_cart_total(self): text = self.get_element(*ProductPageLocators.MESSAGE_CART_TOTAL).text assert self.price == text

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null

0

1

0

2

a4ae1483214c461caccbaa8423f72cab68bed529

600

py

Python

ACME/geometry/poly_corner_cosines.py

mauriziokovacic/ACME

2615b66dd4addfd5c03d9d91a24c7da414294308

[ "MIT" ]

3

2019-10-23T23:10:55.000Z

2021-09-01T07:30:14.000Z

ACME/geometry/poly_corner_cosines.py

mauriziokovacic/ACME-Python

2615b66dd4addfd5c03d9d91a24c7da414294308

[ "MIT" ]

null

ACME/geometry/poly_corner_cosines.py

mauriziokovacic/ACME-Python

2615b66dd4addfd5c03d9d91a24c7da414294308

[ "MIT" ]

1

2020-07-11T11:35:43.000Z

from ..math.acos import * from ..math.dot import * from ..math.normvec import * from .poly_edges import * def poly_corner_cosines(P, T): """ Returns the per polygon corner cosines Parameters ---------- P : Tensor a (N, D,) points set tensor T : LongTensor a (M, T,) topology tensor Returns ------- Tensor the (T, M,) corner cosines tensor """ E = torch.cat([normr(e).unsqueeze(0) for e in poly_edges(P, T)], dim=0) E = torch.cat((E[-1].unsqueeze(0), E), dim=0) return dot(E[1:], -E[:-1], dim=2).squeeze().t()

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null

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null

0

1

0

1

0

2

a4b88904224a7e9d2272f52544cf3713982a6999

1,121

py

Python

mydemoapp/models.py

Kartik-CR7/MyDemoProject

6415b70ca8279964fc96fa4df2ee320a915f6e25

[ "bzip2-1.0.6" ]

null

mydemoapp/models.py

Kartik-CR7/MyDemoProject

6415b70ca8279964fc96fa4df2ee320a915f6e25

[ "bzip2-1.0.6" ]

8

2021-03-19T04:46:59.000Z

2022-03-12T00:10:00.000Z

mydemoapp/models.py

Kartik-CR7/MyDemoProject

6415b70ca8279964fc96fa4df2ee320a915f6e25

[ "bzip2-1.0.6" ]

null

from django.db import models from django.core.validators import MaxLengthValidator from django_resized import ResizedImageField from PIL import Image # Create your models here. class Like(models.Model): id = models.AutoField(primary_key = True) sess_response = models.CharField(max_length=100) button_id = models.CharField(max_length=50,default=0) # (validators=[MaxLengthValidator(50)])#we can give MaxLengthValidators to validate the length of integer field. class BT_Contact(models.Model): Contact_id = models.AutoField(primary_key = True) First_Name = models.CharField(max_length = 50,default='Default_name') Last_Name = models.CharField(max_length = 50,default= 'Default_lastname') Emailid = models.CharField(max_length= 100 ,default='Default@email.com') Message = models.CharField(max_length= 800 ,default= 'No_Message') class BT_Imageupload(models.Model): Image_id = models.AutoField(primary_key= True) Image_name = models.CharField(max_length=200,default='Unnamed_Image') Image = ResizedImageField(size=[800,800],upload_to='Media/',blank=True,quality=100)

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null

0

1

0

2

a4bef0301771c959e6bdd061b645fed4cecf3b2b

1,409

py

Python

scripts/nodes/filter/sensor.py

AutonomousFieldRoboticsLab/jetyak_uav_utils

7926df2cf34b0be2647b62896c98af82ca6f1e53

[ "MIT" ]

null

scripts/nodes/filter/sensor.py

AutonomousFieldRoboticsLab/jetyak_uav_utils

7926df2cf34b0be2647b62896c98af82ca6f1e53

[ "MIT" ]

null

scripts/nodes/filter/sensor.py

AutonomousFieldRoboticsLab/jetyak_uav_utils

7926df2cf34b0be2647b62896c98af82ca6f1e53

[ "MIT" ]

1

2021-12-09T01:30:58.000Z

import numpy as np class Sensor: """ Sensor class Handles the sensor data and measurements Updates R matrix using the residuals """ def __init__(self, ID, Rnom, H, N, chiCritical): self.ID = ID self.R = Rnom self.H = H self.N = N self.Rnom = Rnom self.chiC = chiCritical self.residuals = None self.Z = None def setZ(self, measurement): self.Z = measurement def getID(self): return self.ID def getZ(self): return self.Z def getChi(self): return self.chiC def getR(self): return self.R def getH(self): return self.H def updateR(self, r, P): if (r is not None) and (P is not None): if self.residuals is None: self.residuals = np.transpose(r) elif self.residuals.shape[0] < self.N: self.residuals = np.concatenate((self.residuals, np.transpose(r)), axis = 0) else: self.residuals = np.concatenate((self.residuals[1:], np.transpose(r)), axis = 0) if self.residuals.shape[0] == self.N: res = np.asmatrix(self.residuals) hatRdiag = np.array(np.diagonal(((res.T * res) / self.N) - P)) for i in range(hatRdiag.shape[0]): if hatRdiag[i] < self.Rnom[i,i]: hatRdiag[i] = self.Rnom[i,i] # if self.ID == 'jgps' or self.ID == 'tag': # print self.ID # print "Residuals: ", r # print "P: ", P # print "New R: ", np.diag(hatRdiag) self.R = np.diag(hatRdiag)

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1,409

3.976852

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1,409

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false

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null

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null

0

1

0

1

0

2

a4cfb8f9c948786a719f38a876ae84e9ed8b699e

559

py

Python

src/framestructure/__init__.py

FongAnthonyM/python-framestructure

64a12f4c9e401445dc58263ec9f49621d27127eb

[ "MIT" ]

null

src/framestructure/__init__.py

FongAnthonyM/python-framestructure

64a12f4c9e401445dc58263ec9f49621d27127eb

[ "MIT" ]

18

2021-12-16T14:26:49.000Z

2022-03-28T14:32:28.000Z

src/framestructure/__init__.py

FongAnthonyM/python-framestructure

64a12f4c9e401445dc58263ec9f49621d27127eb

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ __init__.py framestructure provides several classes for creating structures of dataframes. """ # Package Header # from .__header__ import * # Header # __author__ = __author__ __credits__ = __credits__ __maintainer__ = __maintainer__ __email__ = __email__ # Imports # # Local Packages # from .dataframeinterface import DataFrameInterface from .blankdataframe import BlankDataFrame from .dataframe import DataFrame from .timeseriesframe import * from .directorytimeframe import * from .filetimeframe import *

24.304348

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null

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null

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1

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2

a4cfcd7aca9677a1f8cb4d104d8e6941f5eefb30

277

py

Python

pyamazon/Helpers/utility.py

Essam3152/test

9b8a16d35ad4cb4538500d29c7598247ac8992b9

[ "MIT" ]

12

2021-12-01T15:29:45.000Z

2022-03-23T01:12:01.000Z

pyamazon/Helpers/utility.py

Essam3152/test

9b8a16d35ad4cb4538500d29c7598247ac8992b9

[ "MIT" ]

null

pyamazon/Helpers/utility.py

Essam3152/test

9b8a16d35ad4cb4538500d29c7598247ac8992b9

[ "MIT" ]

11

2021-11-20T17:25:46.000Z

2021-11-22T10:14:15.000Z

import re def sort_urls(url_list,reverse=True): return sorted(url_list, key=lambda k: k['bandwidth'], reverse=reverse) def name_checker(name): name = name.replace("'", "") name = re.findall(r"([\w\d-]+)", name) return ' '.join([x for x in name])

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277

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0

null

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null

0

1

0

1

0

2

a4d7b44cdbc954b024600fd31d36d74375304da1

3,811

py

Python

src/icalendar/caselessdict.py

devlitz/icalendar

f7154d55280c33cc4cf08dbbb78414dd00b5506b

[ "BSD-2-Clause" ]

3

2015-12-30T05:32:55.000Z

2021-06-15T15:04:49.000Z

src/icalendar/caselessdict.py

devlitz/icalendar

f7154d55280c33cc4cf08dbbb78414dd00b5506b

[ "BSD-2-Clause" ]

null

src/icalendar/caselessdict.py

devlitz/icalendar

f7154d55280c33cc4cf08dbbb78414dd00b5506b

[ "BSD-2-Clause" ]

1

2017-05-05T02:48:37.000Z

# -*- coding: utf-8 -*- from icalendar.compat import iteritems from icalendar.parser_tools import to_unicode try: from collections import OrderedDict except ImportError: from ordereddict import OrderedDict def canonsort_keys(keys, canonical_order=None): """Sorts leading keys according to canonical_order. Keys not specified in canonical_order will appear alphabetically at the end. """ canonical_map = dict((k, i) for i, k in enumerate(canonical_order or [])) head = [k for k in keys if k in canonical_map] tail = [k for k in keys if k not in canonical_map] return sorted(head, key=lambda k: canonical_map[k]) + sorted(tail) def canonsort_items(dict1, canonical_order=None): """Returns a list of items from dict1, sorted by canonical_order. """ return [(k, dict1[k]) for \ k in canonsort_keys(dict1.keys(), canonical_order)] class CaselessDict(OrderedDict): """A dictionary that isn't case sensitive, and only uses strings as keys. Values retain their case. """ def __init__(self, *args, **kwargs): """Set keys to upper for initial dict. """ super(CaselessDict, self).__init__(*args, **kwargs) for key, value in self.items(): key_upper = to_unicode(key).upper() if key != key_upper: super(CaselessDict, self).__delitem__(key) self[key_upper] = value def __getitem__(self, key): key = to_unicode(key) return super(CaselessDict, self).__getitem__(key.upper()) def __setitem__(self, key, value): key = to_unicode(key) super(CaselessDict, self).__setitem__(key.upper(), value) def __delitem__(self, key): key = to_unicode(key) super(CaselessDict, self).__delitem__(key.upper()) def __contains__(self, key): key = to_unicode(key) return super(CaselessDict, self).__contains__(key.upper()) def get(self, key, default=None): key = to_unicode(key) return super(CaselessDict, self).get(key.upper(), default) def setdefault(self, key, value=None): key = to_unicode(key) return super(CaselessDict, self).setdefault(key.upper(), value) def pop(self, key, default=None): key = to_unicode(key) return super(CaselessDict, self).pop(key.upper(), default) def popitem(self): return super(CaselessDict, self).popitem() def has_key(self, key): key = to_unicode(key) return super(CaselessDict, self).__contains__(key.upper()) def update(self, *args, **kwargs): # Multiple keys where key1.upper() == key2.upper() will be lost. mappings = list(args) + [kwargs] for mapping in mappings: if hasattr(mapping, 'items'): mapping = iteritems(mapping) for key, value in mapping: self[key] = value def copy(self): return type(self)(super(CaselessDict, self).copy()) def __repr__(self): return '%s(%s)' % (type(self).__name__, dict(self)) def __eq__(self, other): return self is other or dict(self.items()) == dict(other.items()) # A list of keys that must appear first in sorted_keys and sorted_items; # must be uppercase. canonical_order = None def sorted_keys(self): """Sorts keys according to the canonical_order for the derived class. Keys not specified in canonical_order will appear at the end. """ return canonsort_keys(self.keys(), self.canonical_order) def sorted_items(self): """Sorts items according to the canonical_order for the derived class. Items not specified in canonical_order will appear at the end. """ return canonsort_items(self, self.canonical_order)

34.333333

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2

a4faddb7db9d31dc2fe74d8d9ade291833862364

1,326

py

Python

fhq-server-tests/run_tests.py

Sardcaster/fhq-server

9154363c0e303afdb1489919d844b837767dd879

[ "MIT" ]

null

fhq-server-tests/run_tests.py

Sardcaster/fhq-server

9154363c0e303afdb1489919d844b837767dd879

[ "MIT" ]

null

fhq-server-tests/run_tests.py

Sardcaster/fhq-server

9154363c0e303afdb1489919d844b837767dd879

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import sys import os import subprocess import fhqtest import signal import time import traceback import libtestfhq import libtestwebserver import libtestusers import libtestscoreboard import libtestpublicevents import libteststats import libtestquests import libtestleaks import libtestgames import libtestknowledgebase import libtestserversettings tests_passed = False tests = [ libtestwebserver, libtestusers, libtestgames, libtestquests, libtestscoreboard, libtestpublicevents, libtestleaks, libtestknowledgebase, libtestserversettings, libteststats ] try: fhqtest.print_header(" > > > TESTS: begin ") libtestfhq.start_server() fhqtest.init_enviroment() for t in tests: fhqtest.print_header(" > > > " + t.test_name + ": begin ") try: t.run_tests() except Exception as e: fhqtest.deinit_enviroment() fhqtest.throw_err("Some tests wrong") exit(-1) fhqtest.print_header(" > > > " + t.test_name + ": end ") tests_passed = True finally: fhqtest.print_header(" > > > TESTS: end ") if tests_passed: fhqtest.print_success("All tests passed") else: fhqtest.log_err("Some tests failed") libtestfhq.stop_server()

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null

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null

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3504302dd6ef49bfee5a7219fb474010306ae444

609

py

Python

Module02/guess_primer.py

biomed-bioinformatics-bootcamp/bmes-t580-2019-coursework-Buisse

e8661fa3d1658cc67001551f21937900c7631b57

[ "MIT" ]

null

Module02/guess_primer.py

biomed-bioinformatics-bootcamp/bmes-t580-2019-coursework-Buisse

e8661fa3d1658cc67001551f21937900c7631b57

[ "MIT" ]

null

Module02/guess_primer.py

biomed-bioinformatics-bootcamp/bmes-t580-2019-coursework-Buisse

e8661fa3d1658cc67001551f21937900c7631b57

[ "MIT" ]

null

import random print('--------------------------') print('----------GUESS THAT PRIMER GAME') print('--------------------------') goal = random.choice('ACGT') goal += random.choice('ACGT') goal += random.choice('ACGT') goal += random.choice('ACGT') goal += random.choice('ACGT') print(goal) guess = 'NNNN' name = input('Player what is your name?') while guess != goal: guess = input('Guess a 5 bp primer') misses = 0 for i in range(len(guess)): if guess [i] != goal[i]: misses += 1 if misses > 0: print('Sorry, you guess %i bases wrong. Play again?' %misses)

21

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3505337c3a5e1ae3c2fd1b436d2e77323402910d

1,008

py

Python

Python_OOP/Inheritance/demo.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

Python_OOP/Inheritance/demo.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

Python_OOP/Inheritance/demo.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

class Person: def __init__(self, name, age): self.name = name self.age = age def __repr__(self): return f'Hello, my name is {self.name} and im {self.age}' class Student(Person): def __init__(self, name, age, grade): super().__init__(name, age) # super(Student, self).__init__(name, age) # Person.__init__(self, name, age) self.grade = grade def __repr__(self): return f'{super().__repr__()} Im a {self.__class__.__name__} and my grade is {self.grade}' class Worker(Person): def __init__(self, name, age, salary): super().__init__(name, age) self.salary = salary def __repr__(self): return f'{super().__repr__()} Im a {self.__class__.__name__} and my salary is {self.salary}' person = Person('Bebe Ivan', 12) student = Student('Bebe Ivan', 12, 6) worker = Worker('Tati Ivan', 24, 600) print(person) print(student) print(worker) print(Worker.mro()) # MRO -> в какъв ред се изпълнява кода

25.846154

100

0.62996

140

1,008

4.078571

0.257143

0.085814

0.084063

0.105079

0.366025

0.294221

0.168126

0

0.01287

0.229167

1,008

38

101

26.526316

0.722008

0.109127

0

0.2

0

0.08

0.263982

0.055928

0

1

0.24

false

0

0.12

0.48

0.16

0

null

0

null

0

1

0

1

0

2

350c45beb746b5466c38b3247bfad2ac874e7157

174

py

Python

AtCoder/ABC/000-159/ABC127_C.py

sireline/PyCode

8578467710c3c1faa89499f5d732507f5d9a584c

[ "MIT" ]

null

AtCoder/ABC/000-159/ABC127_C.py

sireline/PyCode

8578467710c3c1faa89499f5d732507f5d9a584c

[ "MIT" ]

null

AtCoder/ABC/000-159/ABC127_C.py

sireline/PyCode

8578467710c3c1faa89499f5d732507f5d9a584c

[ "MIT" ]

null

N, M = [int(n) for n in input().split()] L, R = (1, N) for i in range(M): l, r = [int(n) for n in input().split()] L, R = (max(l, L), min(r, R)) print(max(0, R-L+1))

24.857143

44

0.482759

41

174

2.04878

0.390244

0.142857

0.166667

0.190476

0.52381

0

0.022727

0.241379

174

6

45

29

0.613636

0

1

0

false

0

0.166667

0

null

0

1

0

1

0

null

0

2

350d79ec4bea5beff627e5acda4dd571cea02065

415

tac

Python

vmcache/service.tac

belm0/vmprof-server

c26f93b5bfec977da33bc62841251dbb956b7f5a

[ "MIT" ]

35

2015-06-14T06:50:32.000Z

2022-02-24T22:26:56.000Z

vmcache/service.tac

belm0/vmprof-server

c26f93b5bfec977da33bc62841251dbb956b7f5a

[ "MIT" ]

31

2015-06-25T12:12:35.000Z

2022-03-17T12:55:30.000Z

vmcache/service.tac

belm0/vmprof-server

c26f93b5bfec977da33bc62841251dbb956b7f5a

[ "MIT" ]

23

2015-08-23T17:17:17.000Z

2022-03-17T12:56:28.000Z

import sys from twisted.internet.protocol import Factory from twisted.internet import endpoints from twisted.internet import reactor from vmcache.cache import CacheFactory from twisted.application import internet, service factory = CacheFactory() application = service.Application("cached application data (LRU scheme)") server = endpoints.serverFromString(reactor, "unix:./cache.socket") server.listen(factory)

29.642857

73

0.824096

49

415

6.979592

0.469388

0.128655

0.166667

0.146199

0

0.098795

415

13

74

31.923077

0.914439

0

0.13253

0

1

0

false

0

0.6

0

0.6

0

null

0

null

0

1

0

1

0

2

350eafe1f55f87030928447123886f1cd0feef9d

3,349

py

Python

tests/test_relex_snowball.py

cjcourt/cdesnowball

ed08637a06d72d3ef83296bfb686a682df0d4443

[ "MIT" ]

13

2018-06-25T14:07:07.000Z

2022-02-16T17:00:11.000Z

tests/test_relex_snowball.py

cjcourt/cdesnowball

ed08637a06d72d3ef83296bfb686a682df0d4443

[ "MIT" ]

null

tests/test_relex_snowball.py

cjcourt/cdesnowball

ed08637a06d72d3ef83296bfb686a682df0d4443

[ "MIT" ]

4

2020-02-26T08:34:26.000Z

2021-03-18T17:33:36.000Z

# -*- coding: utf-8 -*- """ Test relex snowball """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import io import sys import logging import os import unittest from chemdataextractor.relex import Snowball, ChemicalRelationship, Relation, Entity from chemdataextractor.model import BaseModel, StringType, ListType, ModelType, Compound from chemdataextractor.parse.elements import I, R, Any, OneOrMore, Optional from chemdataextractor.parse.common import lrb, rrb, delim from chemdataextractor.parse.actions import join, merge from chemdataextractor.parse.cem import chemical_name from chemdataextractor.doc import Sentence logging.basicConfig(level=logging.DEBUG) log = logging.getLogger(__name__) # Create a new model class CurieTemperature(BaseModel): specifier = StringType() value = StringType() units = StringType() # Add to the available models Compound.curie_temperatures = ListType(ModelType(CurieTemperature)) # Define a very basic entity tagger specifier = (I('curie') + I('temperature') + Optional(lrb | delim) + Optional(R('^T(C|c)(urie)?')) + Optional(rrb) | R('^T(C|c)(urie)?'))('specifier').add_action(join) units = (R('^[CFK]\.?$'))('units').add_action(merge) value = (R('^\d+(\.\,\d+)?$'))('value') # Let the entities be any combination of chemical names, specifier values and units entities = (chemical_name | specifier | value + units) # Now create a very generic parse phrase that will match any combination of these entities curie_temperature_phrase = (entities + OneOrMore(entities | Any()))('curie_temperature') curie_temp_entities = [chemical_name, specifier, value, units] # Define the relationship and give it a name curie_temp_relationship = ChemicalRelationship(curie_temp_entities, curie_temperature_phrase, name='curie_temperatures') # class TestSnowball(unittest.TestCase): # maxDiff = None # training_corpus = 'tests/data/relex/curie_training/' # snowball_pkl = 'tests/data/relex/curie_temperatures.pkl' # snowball_pkl_py2 = 'tests/data/relex/curie_temperatures_py2.pkl' # def test_load_snowball(self): # if sys.version_info[0] == 2: # sb = Snowball.load(self.snowball_pkl_py2) # else: # sb = Snowball.load(self.snowball_pkl) # self.assertIsInstance(sb, Snowball) # def test_extract(self): # if sys.version_info[0] == 2: # curie_temp_snowball = Snowball.load(self.snowball_pkl_py2) # else: # curie_temp_snowball = Snowball.load(self.snowball_pkl) # curie_temp_snowball.save_file_name = 'curie_test_output' # test_sentence = Sentence('BiFeO3 is ferromagnetic with a curie temperature of 1103 K and this is very interesting') # result = curie_temp_snowball.extract(test_sentence) # self.assertEqual(len(result), 1) # expected_entities = [Entity('BiFeO3', chemical_name, 0, 1), Entity('curie temperature', specifier, 0,0), Entity('1103', value, 0,0), Entity('K', units, 0,0)] # expected_relation = Relation(expected_entities, confidence=1.0) # self.assertEqual(result[0], expected_relation) # self.assertEqual(result[0].confidence, expected_relation.confidence) if __name__ == '__main__': unittest.main()

38.056818

167

0.727381

415

3,349

5.657831

0.33494

0.062606

0.027257

0.040886

0.153322

0.120102

0.07368

0.037479

0

0.011368

0.159451

3,349

87

168

38.494253

0.822735

0.505225

0

0.081014

0

1

0

false

0

0.5

0

0.625

0.03125

0

null

0

null

0

1

0

1

0

2

3513991b0e2d3d74dd80f852d3355113d00be1be

450

py

Python

src/hgbot_infra/fake_MSC.py

huegli/hgbot_infra

1a3e388c92745f60b3b97fcfed57070f02b7b4a1

[ "BSD-3-Clause" ]

null

src/hgbot_infra/fake_MSC.py

huegli/hgbot_infra

1a3e388c92745f60b3b97fcfed57070f02b7b4a1

[ "BSD-3-Clause" ]

null

src/hgbot_infra/fake_MSC.py

huegli/hgbot_infra

1a3e388c92745f60b3b97fcfed57070f02b7b4a1

[ "BSD-3-Clause" ]

null

"""Fake Motor Speed Control for use in CI environments w/o real hardware""" class MotorSpeedControl(object): def __init__(self): self._fail_safe = False self.foundChip = True pass def Init(self): pass def SetCommsFailsafe(self, state): self._fail_safe = state def MotorsOff(self): pass def SetMotor1(self, speed): pass def SetMotor2(self, speed): pass

16.666667

75

0.604444

53

450

4.981132

0.566038

0.106061

0.083333

0

0.006472

0.313333

450

26

76

17.307692

0.847896

0.153333

0

0.333333

0

1

0.4

false

0.333333

0

0.466667

0

null

0

null

0

1

0

1

0

2

351f1d44429b277ad279e110c88ef06f8d8ba37e

721

py

Python

ocd_backend/secrets.default.py

fletcher91/open-raadsinformatie

a1626453e43ffb6c2aef17587f611ad622a8d9a9

[ "CC-BY-4.0" ]

1

2021-03-16T19:17:30.000Z

ocd_backend/secrets.default.py

fletcher91/open-raadsinformatie

a1626453e43ffb6c2aef17587f611ad622a8d9a9

[ "CC-BY-4.0" ]

null

ocd_backend/secrets.default.py

fletcher91/open-raadsinformatie

a1626453e43ffb6c2aef17587f611ad622a8d9a9

[ "CC-BY-4.0" ]

null

# This file is used to store password secrets which are not to be committed # to git. The key has to match one of the sources in the ocd_backend/sources # directory. If there a secret is required but not supplied in this file, the # program will fail. A secret like gegevensmagazijn will also match postfixes # like gegevensmagazijn-moties. The most specific secret is used, so secrets # like gegevensmagazijn-a will match gegevensmagazijn-a-moties. # # Example: # SECRETS = { # 'gegevensmagazijn': ( # "some_user", # "some_password", # ), # 'gegevensmagazijn-a': ( # "some_user", # "some_password", # ), # } SECRETS = { '<ID>': ( "<USERNAME>", "<PASSWORD>", ), }

27.730769

77

0.65742

91

721

5.153846

0.527473

0.127932

0.051173

0.085288

0

0.231623

721

25

78

28.84

0.84657

0.837725

0

0.244898

0

1

0

false

0.166667

0

null

0

1

0

null

0

1

0

2

3534920018d2e437be9d99c660408b8891b56367

520

py

Python

tests/r/test_pneumon.py

hajime9652/observations

2c8b1ac31025938cb17762e540f2f592e302d5de

[ "Apache-2.0" ]

199

2017-07-24T01:34:27.000Z

2022-01-29T00:50:55.000Z

tests/r/test_pneumon.py

hajime9652/observations

2c8b1ac31025938cb17762e540f2f592e302d5de

[ "Apache-2.0" ]

46

2017-09-05T19:27:20.000Z

2019-01-07T09:47:26.000Z

tests/r/test_pneumon.py

hajime9652/observations

2c8b1ac31025938cb17762e540f2f592e302d5de

[ "Apache-2.0" ]

45

2017-07-26T00:10:44.000Z

2022-03-16T20:44:59.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import shutil import sys import tempfile from observations.r.pneumon import pneumon def test_pneumon(): """Test module pneumon.py by downloading pneumon.csv and testing shape of extracted data has 3470 rows and 15 columns """ test_path = tempfile.mkdtemp() x_train, metadata = pneumon(test_path) try: assert x_train.shape == (3470, 15) except: shutil.rmtree(test_path) raise()

21.666667

46

0.755769

72

520

5.180556

0.569444

0.080429

0.128686

0

0.028103

0.178846

520

23

47

22.608696

0.845433

0.219231

0

0.066667

1

0.066667

false

0

0.466667

0

0.533333

0.066667

0

null

0

null

0

1

0

1

0

2

35380d78049f0487bb0c82853fb6090d2f10b02f

495

py

Python

source/jwk.py

janmojzis/acmeshell

a972706906263ebbc0cdf3ad205bbe2645937836

[ "CC0-1.0" ]

5

2018-07-25T14:10:52.000Z

2021-12-04T21:36:15.000Z

source/jwk.py

janmojzis/acmeshell

a972706906263ebbc0cdf3ad205bbe2645937836

[ "CC0-1.0" ]

1

2018-06-21T10:21:48.000Z

source/jwk.py

janmojzis/acmeshell

a972706906263ebbc0cdf3ad205bbe2645937836

[ "CC0-1.0" ]

1

2019-11-25T17:19:09.000Z

from tobase64 import tobase64 from tobytes import tobytes import hashlib def jwk(e, n): """ Create JSON Web Key from RSA exponent end modulus """ return { "e": tobase64(e), "kty": "RSA", "n": tobase64(n) } def jwkthumb(e, n): """ JSON Web Key Thumbprint SHA256 from RSA exponent end modulus """ js = '{"e":"%s","kty":"RSA","n":"%s"}' % (tobase64(e), tobase64(n)) return tobase64(hashlib.sha256(tobytes(js)).digest())

23.571429

75

0.565657

64

495

4.375

0.390625

0.092857

0.071429

0.128571

0.178571

0

0.055402

0.270707

495

20

76

24.75

0.720222

0.222222

0

0.115385

0.091716

0

1

0.25

false

0

0.375

0

0.875

0

null

0

null

0

1

0

1

0

2

353e14d9658722579711ef0ef0ac7ca3c4704db5

270

py

Python

intents/helpers/logging.py

dario-chiappetta/dialogflow_agents

ecb03bdce491a3c9d6769816507f3027fd5a60d1

[ "Apache-2.0" ]

6

2021-06-24T12:22:21.000Z

2021-07-21T21:06:19.000Z

intents/helpers/logging.py

dario-chiappetta/dialogflow_agents

ecb03bdce491a3c9d6769816507f3027fd5a60d1

[ "Apache-2.0" ]

27

2021-06-05T10:41:08.000Z

2021-11-01T17:29:38.000Z

intents/helpers/logging.py

dariowho/intents

ecb03bdce491a3c9d6769816507f3027fd5a60d1

[ "Apache-2.0" ]

null

import json class jsondict(dict): """ A dictionary that is serialized to JSON when casted to `str`. This is convenient in logs. """ def __str__(self): return json.dumps(self, indent=2) def __repr__(self): return self.__str__()

19.285714

73

0.625926

36

270

4.361111

0.694444

0.127389

0

0.005102

0.274074

270

13

74

20.769231

0.795918

0.32963

0

1

0.333333

false

0

0.166667

0.333333

1

0

null

0

null

0

1

0

1

0

2

101e8f19fec5996b4135ab21dd8ee960a387292b

829

py

Python

FUNDASTORE/APPS/PRODUCTOS/models.py

GabrielB-07/FundaStore-cgb

b509a9743a651344b32dd7a40ab789f1db48e54b

[ "CC0-1.0" ]

null

FUNDASTORE/APPS/PRODUCTOS/models.py

GabrielB-07/FundaStore-cgb

b509a9743a651344b32dd7a40ab789f1db48e54b

[ "CC0-1.0" ]

null

FUNDASTORE/APPS/PRODUCTOS/models.py

GabrielB-07/FundaStore-cgb

b509a9743a651344b32dd7a40ab789f1db48e54b

[ "CC0-1.0" ]

null

from django.db import models # Create your models here. class Categoria(models.Model): cat_id = models.AutoField(primary_key=True) cat_nombre = models.CharField(max_length=128) cat_itbms = models.DecimalField(max_digits=8,decimal_places=2) def __str__(self): return self.cat_nombre class Producto(models.Model): pro_id = models.AutoField(primary_key=True) pro_nombre = models.CharField(max_length=128) pro_precio = models.DecimalField(max_digits=8,decimal_places=2) pro_stock = models.IntegerField() pro_descripcion = models.TextField(null=True) pro_categoria = models.ForeignKey(to=Categoria,on_delete=models.CASCADE,null=True) pro_imagen = models.ImageField(upload_to='PRODUCTOS',max_length=128,default='default.png') def __str__(self): return self.pro_nombre

37.681818

94

0.75392

114

829

5.210526

0.45614

0.045455

0.060606

0.080808

0.424242

0.356902

0.141414

0

0.018284

0.14234

829

22

95

37.681818

0.817159

0.028951

0

0.117647

0

0.024876

0

1

0.117647

false

0

0.058824

0.117647

1

0

null

0

null

0

1

0

2

1020444fe5040aee5d11e10ed482da8714a70dd0

84

py

Python

openbox/utils/fanova/__version__.py

Dee-Why/lite-bo

804e93b950148fb98b7e52bd56c713edacdb9b6c

[ "BSD-3-Clause" ]

184

2021-06-02T06:35:25.000Z

2022-03-31T10:33:11.000Z

openbox/utils/fanova/__version__.py

ZongWei-HUST/open-box

011791aba4e44b20a6544020c73601638886d143

[ "MIT" ]

16

2021-11-15T11:13:57.000Z

2022-03-24T12:51:17.000Z

openbox/utils/fanova/__version__.py

ZongWei-HUST/open-box

011791aba4e44b20a6544020c73601638886d143

[ "MIT" ]

24

2021-06-18T04:52:57.000Z

2022-03-30T11:14:03.000Z

# License: MIT """ https://github.com/automl/fanova """ __version__ = "2.0.20.dev"

12

32

0.642857

12

84

4.166667

1

0

0.054054

0.119048

84

6

33

14

0.621622

0.547619

0

0.333333

0

1

0

false

0

1

0

null

0

1

0

null

0

2

102e0e33927ce030021968e9e39203b71da74267

169

py

Python

Draft/Find all the opposites in the array.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

6

2020-09-03T09:32:25.000Z

2020-12-07T04:10:01.000Z

Draft/Find all the opposites in the array.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

1

2021-12-13T15:30:21.000Z

Draft/Find all the opposites in the array.py

mwk0408/codewars_solutions

9b4f502b5f159e68024d494e19a96a226acad5e5

[ "MIT" ]

null

def find_opposites(seq): check=set() res=set() for i in seq: if -i in check: res.add(abs(i)) check.add(i) return sorted(res)

21.125

27

0.514793

26

169

3.307692

0.576923

0.069767

0

0.35503

169

8

28

21.125

0.788991

0

1

0.125

false

0

0.25

0

1

0

null

0

1

0

null

0

2

102efa23f602a5c990941d58b8b9fa8d80682c83

1,354

py

Python

utils/import_envs.py

mcx-lab/rl-baselines3-zoo

f89938be3b4d9769d9562e7b3d6d1342461adc5c

[ "MIT" ]

null

utils/import_envs.py

mcx-lab/rl-baselines3-zoo

f89938be3b4d9769d9562e7b3d6d1342461adc5c

[ "MIT" ]

19

2021-08-23T03:21:10.000Z

2021-11-26T07:36:42.000Z

utils/import_envs.py

mcx-lab/rl-baselines3-zoo

f89938be3b4d9769d9562e7b3d6d1342461adc5c

[ "MIT" ]

null

try: import pybullet_envs # pytype: disable=import-error except ImportError: pybullet_envs = None try: import highway_env # pytype: disable=import-error except ImportError: highway_env = None try: import neck_rl # pytype: disable=import-error except ImportError: neck_rl = None try: import mocca_envs # pytype: disable=import-error except ImportError: mocca_envs = None try: import custom_envs # pytype: disable=import-error except ImportError: custom_envs = None try: import gym_donkeycar # pytype: disable=import-error except ImportError: gym_donkeycar = None try: import panda_gym # pytype: disable=import-error except ImportError: panda_gym = None """Set up gym interface for simulation environments.""" import gym from gym.envs.registration import registry, make, spec def register(env_id, *args, **kvargs): if env_id in registry.env_specs: return else: return gym.envs.registration.register(env_id, *args, **kvargs) register( env_id="A1GymEnv-v0", entry_point="blind_walking.envs.gym_envs:A1GymEnv", max_episode_steps=1000, reward_threshold=1000.0, ) register( env_id="A1BlindWalkingBulletEnv-v0", entry_point="blind_walking.envs.gym_envs:A1BlindWalkingBulletEnv", max_episode_steps=2000, reward_threshold=2000.0, )

21.83871

70

0.727474

174

1,354

5.477011

0.316092

0.066107

0.139559

0.176285

0.435467

0.387198

0.21511

0.073452

0

0.021739

0.184638

1,354

61

71

22.196721

0.841486

0.149188

0

0.340426

0

0.113866

0.103765

0

1

0.021277

false

0

0.340426

0

0.404255

0

null

0

1

0

null

0

1

0

2

1033e36427a4a13f830410dceac3133444553fab

230

py

Python

Python/Numpy/np-min-and-max.py

ekant1999/HackerRank

084d4550b4eaf130837ab26a4efdbcaf8b667cdc

[ "MIT" ]

9

2017-03-19T16:27:31.000Z

2022-02-17T11:42:21.000Z

Python/Numpy/np-min-and-max.py

ekant1999/HackerRank

084d4550b4eaf130837ab26a4efdbcaf8b667cdc

[ "MIT" ]

null

Python/Numpy/np-min-and-max.py

ekant1999/HackerRank

084d4550b4eaf130837ab26a4efdbcaf8b667cdc

[ "MIT" ]

6

2019-02-18T11:26:24.000Z

2022-03-21T14:13:15.000Z

import numpy n, m = map(int, raw_input().split()) a = [] for i in range(n): a += map(int, raw_input().split()) a = numpy.array(a) a = numpy.reshape(a, (n,m)) a_min = numpy.min(a, axis = 1) print numpy.max(a_min)

16.428571

37

0.573913

43

230

2.976744

0.488372

0.03125

0.140625

0.21875

0.3125

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230

14

38

16.428571

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null

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0

null

0

1

0

null

0

1

0

2

1061ed7d8a04fbf2ca86dbbc43f9362ac4bebc82

1,022

py

Python

blog/routers/authentication.py

thoeunsopheara/fastapi_crash_course

5442dcbc552b72d6588db73eb62290d607a641ba

[ "MIT" ]

null

blog/routers/authentication.py

thoeunsopheara/fastapi_crash_course

5442dcbc552b72d6588db73eb62290d607a641ba

[ "MIT" ]

null

blog/routers/authentication.py

thoeunsopheara/fastapi_crash_course

5442dcbc552b72d6588db73eb62290d607a641ba

[ "MIT" ]

null

from fastapi import APIRouter, Depends, HTTPException, status from fastapi.security import OAuth2PasswordRequestForm from sqlalchemy.orm import Session from datetime import datetime, timedelta from .. import schemas, database, models from ..hashing import Hash from ..token import create_access_token get_db = database.get_db routers = APIRouter(tags=['authentication']) @routers.post('/login') def login(request: OAuth2PasswordRequestForm = Depends(), db: Session = Depends(get_db)): user = db.query(models.User).filter(models.User.email == request.username).first() if not user: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail='invalid credential') if not Hash.verify(request.password, user.password): raise HTTPException(status_code=status.HTTP_403_FORBIDDEN) # access_token_expire = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES) access_token = create_access_token(data={'sub': user.email}) return {'access_token': access_token, 'token_type': 'bearer'}

39.307692

95

0.772016

128

1,022

5.984375

0.453125

0.100522

0.044386

0.073107

0.099217

0

0.008949

0.125245

1,022

25

96

40.88

0.847875

0.066536

0

0.072555

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0.055556

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0.166667

0.388889

0

0.5

0

null

0

null

0

1

0

2

106a831d0a359c893ad604042389b6a80aad99fd

2,202

py

Python

cleanup.py

timfox456/question_generator

5f8052c99c1d9e7ccca145b554135c382edd14fc

[ "MIT" ]

null

cleanup.py

timfox456/question_generator

5f8052c99c1d9e7ccca145b554135c382edd14fc

[ "MIT" ]

null

cleanup.py

timfox456/question_generator

5f8052c99c1d9e7ccca145b554135c382edd14fc

[ "MIT" ]

null

import csv import re def cleanup(input_row): item_type = input_row[18] for i in input_row: i = re.sub(r'<a.*?>|</a> ', '', i) i = re.sub(r'<\/LI><LI>', '\.', i) i = re.sub(r'<.*?>', '', i) return_str = "" return_str += "The product Name is " + input_row[1] + ".\n" return_str += "The product category is" + input_row[2] + ".\n" return_str += "The price is " + input_row[3] + ".\n" return_str += "The average customer rating is " + input_row[4] + ".\n" for item in input_row[5].split(','): item = re.sub(r'<a.*?>|</a> ', '', item) item = re.sub(r'<\/LI><LI>', '\.', item) item = re.sub(r'<.*?>', '', item) return_str += item + ".\n" return_str += "The color is " + input_row[6] + ".\n" return_str += "The color group is " + input_row[7] + ".\n" return_str += "The size is " + input_row[8] + ".\n" return_str += "The gender is " + input_row[9] + ".\n" return_str += "The item type is " + input_row[11] + ".\n" for item in input_row[12].split(','): item = re.sub(r'<a.*?>|</a> ', '', item) item = re.sub(r'<\/LI><LI>', '\.', item) item = re.sub(r'<.*?>', '', item) return_str += "It has " + item + ".\n" return_str += "The category is " + input_row[13] + ".\n" return_str += "The condition is " + input_row[14] + ".\n" for item in input_row[15].split(','): item = re.sub(r'<a.*?>|</a> ', '', item) item = re.sub(r'<\/LI><LI>', '\.', item) item = re.sub(r'<.*?>', '', item) return_str += "It is " + item + ".\n" return_str += "The item is designed for " + input_row[16] + ".\n" return_str += "The item type is " + input_row[18] + ".\n" return_str += "The item type is " + input_row[19] + ".\n" return_str += "The fit is " + input_row[20] + ".\n" input_row[20] = re.sub(r'<\/LI><LI>', '.\n', input_row[20]) input_row[20] = re.sub(r'<.*?>', '', input_row[20]) for item in input_row[21].split('.'): item = re.sub(r'<\/LI><LI>', '.\n', item) item = re.sub(r'<.*?>', '', item) return_str += "It is " + item + ".\n" return return_str

38.631579

75

0.485922

328

2,202

3.115854

0.17378

0.203523

0.093933

0.178082

0.548924

0.434442

0.330724

0.239726

0

0.024149

0.266576

2,202

56

76

39.321429

0.608669

0

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0.228286

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0.021739

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0

null

1

0

1

0

null

0

2

10a26a3cfd70fe2c9c23fe0cb12510c2faa0329c

1,160

py

Python

apis_core/apis_vis/api_views.py

sviatoplok/apis-core

c23718af2a51598e32684b9b954b594ceef1f0f7

[ "MIT" ]

1

2019-09-02T09:14:06.000Z

apis_core/apis_vis/api_views.py

sviatoplok/apis-core

c23718af2a51598e32684b9b954b594ceef1f0f7

[ "MIT" ]

null

apis_core/apis_vis/api_views.py

sviatoplok/apis-core

c23718af2a51598e32684b9b954b594ceef1f0f7

[ "MIT" ]

null

from django.contrib.contenttypes.models import ContentType from rest_framework.generics import ListAPIView from .serializers import * from apis_core.apis_relations.models import PersonInstitution from django_filters.rest_framework import DjangoFilterBackend from rest_framework import filters class GetVisJson(ListAPIView): filter_backends = (DjangoFilterBackend, filters.SearchFilter) depth = 2 # TODO: add a generic filter thing def get_serializer(self, instance=None, data=None, many=False, partial=False): vis = self.request.query_params.get('vis', None) if vis == 'av-age': return VisAgeSerializer(self.get_queryset(), many=False) elif vis == 'avg-relations': return AvRelations(self.get_queryset(), many=False) else: return None def get_queryset(self, **kwargs): relation = self.kwargs['relation'].lower() relation_model = ContentType.objects.get( app_label='apis_relations', model=relation).model_class() print("from get_queryset {}".format(relation)) queryset = relation_model.objects.all() return queryset

37.419355

82

0.706897

133

1,160

6.030075

0.481203

0.054863

0.042394

0.047382

0.05985

0

0.001076

0.199138

1,160

30

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0

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false

0

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0.625

0.041667

0

null

0

null

0

1

0

1

0

2

10b3c9f6423784a65ff34c0db0d900171ca89cc9

321

py

Python

depricated/update_weights.py

uglyboxer/learn_nums

8f8f4595b75e0978df54bf7b21f273560de0e119

[ "Unlicense" ]

null

depricated/update_weights.py

uglyboxer/learn_nums

8f8f4595b75e0978df54bf7b21f273560de0e119

[ "Unlicense" ]

null

depricated/update_weights.py

uglyboxer/learn_nums

8f8f4595b75e0978df54bf7b21f273560de0e119

[ "Unlicense" ]

null

def update_weights(weights, error, l_rate, vector): """Takes in a given weight, error, learning rate, and vector element Retuns updated weight """ return [weight + (elem * l_rate * error) for elem, weight in zip(vector, weights)] if __name__ == '__main__': print(update_weights((.1, .1, .2), -6, .1, (.5, .5, .5)))

35.666667

83

0.669782

49

321

4.142857

0.591837

0.128079

0

0.02974

0.161994

321

8

84

40.125

0.724907

0.271028

0

0.035556

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0.25

false

0

0.5

0.25

0

null

0

1

0

null

0

1

0

2

10beb94e98eade865dc1a805ab56c4818b645bbf

621

py

Python

tests/test_compat.py

sarah-vanderlaan/pyjwt

b65e1ac6dc4d11801f3642eaab34ae6a54162c18

[ "MIT" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

tests/test_compat.py

sarah-vanderlaan/pyjwt

b65e1ac6dc4d11801f3642eaab34ae6a54162c18

[ "MIT" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

tests/test_compat.py

sarah-vanderlaan/pyjwt

b65e1ac6dc4d11801f3642eaab34ae6a54162c18

[ "MIT" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

from jwt.compat import constant_time_compare from jwt.utils import force_bytes class TestCompat: def test_constant_time_compare_returns_true_if_same(self): assert constant_time_compare( force_bytes('abc'), force_bytes('abc') ) def test_constant_time_compare_returns_false_if_diff_lengths(self): assert not constant_time_compare( force_bytes('abc'), force_bytes('abcd') ) def test_constant_time_compare_returns_false_if_totally_different(self): assert not constant_time_compare( force_bytes('abcd'), force_bytes('efgh') )

31.05

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5.126582

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0.328395

0.140741

0.622222

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621

19

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0.4

0

null

1

0

null

0

2

52bb79d07a96b79b2e4b1cc343749e3e44d8504a

205

py

Python

PYTHON_VERSION/CC_PostProc.py

Cocytee/CamoGen

750e92e5e9d1467dbd2e5c9fe0ea16d6d4861a92

[ "Unlicense" ]

1

2021-04-22T05:40:16.000Z

PYTHON_VERSION/CC_Settings.py

Cocytee/CamoGen

750e92e5e9d1467dbd2e5c9fe0ea16d6d4861a92

[ "Unlicense" ]

null

PYTHON_VERSION/CC_Settings.py

Cocytee/CamoGen

750e92e5e9d1467dbd2e5c9fe0ea16d6d4861a92

[ "Unlicense" ]

null

# Camo setting and processign settings #processing setting #resolution #smoothing #saturation #noise #etc.. #camo setting #Xshift #Yshift #etc.. #save settings #saveloc #savetype

12.8125

39

0.678049

21

205

6.619048

0.761905

0.158273

0

0.234146

205

15

40

13.666667

0.88535

0.731707

0

null

0

null

0

null

0

null

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true

0

null

1

0

null

0

null

0

1

0

2

52c88de14e72b0248fe2d1834a044b1a2d3d96c2

5,657

py

Python

CODE/corpus-prep/manage_name_entity.py

pegahani/REUS

3de7505fcf971333e294c490371d7b429d8fc9d0

[ "MIT" ]

null

CODE/corpus-prep/manage_name_entity.py

pegahani/REUS

3de7505fcf971333e294c490371d7b429d8fc9d0

[ "MIT" ]

null

CODE/corpus-prep/manage_name_entity.py

pegahani/REUS

3de7505fcf971333e294c490371d7b429d8fc9d0

[ "MIT" ]

null

import xml.etree.ElementTree as ET from meeting import meeting class manage_name_enity(meeting): def get_entities_type(self): if self.corpus_type == 'MAN': schema = "../../AMI/ami_public_manual/ontologies/ne-types.xml" tree = ET.parse(schema) #a root for entity types self.root_entity_types = tree.getroot() return def get_entities_roots(self): file_name = self.get_file_name() entities_files = [] participants = [i for i in self.get_participants().keys()] entities_roots = dict.fromkeys(participants) if self.corpus_type == 'MAN': for key in participants: entities_files.append(self.file + "/namedEntities/" + file_name + '.' + key + ".ne.xml") for item in range(len(participants)): tree_ = ET.parse(entities_files[item]) entities_roots[participants[item]] = tree_.getroot() return entities_roots def find_entity_type(self, entity_id): """ this function get the entity id and finds its name in ne-types.xml file :param entity_id: :return: """ #TODO we can get other information from entity type files. it depends what we need exactly for child in self.root_entity_types.findall('ne-type'): if child.attrib['{http://nite.sourceforge.net/}id'] == entity_id: return child.attrib['name'] else: for grand_child in child.findall('ne-type'): if grand_child.attrib['{http://nite.sourceforge.net/}id'] == entity_id: return grand_child.attrib['name'] else: for grand_grand_child in grand_child.findall('ne-type'): if grand_grand_child.attrib['{http://nite.sourceforge.net/}id'] == entity_id: return grand_grand_child.attrib['name'] else: for descendant in grand_grand_child.findall('ne-type'): if descendant.attrib['{http://nite.sourceforge.net/}id'] == entity_id: return descendant.attrib['name'] return def get_entity_list(self, speaker): file = open('./manuel_corpus_name_entities/' + self.meeting + '.' + speaker + '.txt', 'w') root_entities_speaker = self.get_entities_roots()[speaker] root_words_speaker = self.get_roots_words()[speaker] for child in root_entities_speaker: tempo = child[0].attrib['href'] founded = tempo.find('(') entity_type = tempo[founded+1:-1] words_included = child[1].attrib['href'] (start, stop) = self.get_words_interval_for_speaker(words_included) if stop != None: file.write(self.get_word_interval(start, stop, root_words_speaker) + ' : ' + self.find_entity_type(entity_type)+ '\n') else: file.write(self.get_Word(start, root_words_speaker, speaker) + ' : ' + self.find_entity_type(entity_type) + '\n') file.close() return # ex = manage_name_enity('MAN', 'meet_2') # ex.initializations() # ex.get_meeting_list() # meeting_list = ['meet_1', 'meet_2', 'meet_3', 'meet_4', 'meet_5', 'meet_6', 'meet_7', 'meet_8', 'meet_10', 'meet_11', 'meet_12', 'meet_13', 'meet_14', 'meet_15', 'meet_16', 'meet_17', 'meet_18', 'meet_19', 'meet_20', 'meet_21', 'meet_22', 'meet_23', 'meet_25', 'meet_26', 'meet_27', 'meet_28', 'meet_29', 'meet_30', 'meet_31', 'meet_32', 'meet_33', 'meet_34', 'meet_35', 'meet_36', 'meet_37', 'meet_38', 'meet_39', 'meet_40', 'meet_41', 'meet_42', 'meet_43', 'meet_44', 'meet_45', 'meet_46', 'meet_47', 'meet_48', 'meet_49', 'meet_50', 'meet_51', 'meet_51b', 'meet_52', 'meet_53', 'meet_54', 'meet_55', 'meet_56', 'meet_57', 'meet_58', 'meet_59', 'meet_60', 'meet_61', 'meet_62', 'meet_63', 'meet_64', 'meet_65', 'meet_66', 'meet_67', 'meet_68', 'meet_69', 'meet_70', 'meet_71', 'meet_72', 'meet_73', 'meet_74', 'meet_75', 'meet_76', 'meet_77', 'meet_78', 'meet_79', 'meet_80', 'meet_81', 'meet_82', 'meet_83', 'meet_84', 'meet_85', 'meet_86', 'meet_87', 'meet_88', 'meet_89', 'meet_90', 'meet_91', 'meet_92', 'meet_93', 'meet_94', 'meet_95', 'meet_96', 'meet_97', 'meet_98', 'meet_99', 'meet_112', 'meet_113', 'meet_114', 'meet_115', 'meet_116', 'meet_117', 'meet_118', 'meet_119', 'meet_120', 'meet_121', 'meet_122', 'meet_123', 'meet_124', 'meet_125', 'meet_126', 'meet_127', 'meet_128', 'meet_129', 'meet_130', 'meet_131', 'meet_132', 'meet_133', 'meet_134', 'meet_135', 'meet_136', 'meet_137', 'meet_138', 'meet_139', 'meet_140', 'meet_141', 'meet_142', 'meet_143', 'meet_144', 'meet_145', 'meet_146', 'meet_147', 'meet_148', 'meet_149', 'meet_150', 'meet_151', 'meet_156', 'meet_157', 'meet_158', 'meet_159', 'meet_160', 'meet_161', 'meet_162', 'meet_163', 'meet_164', 'meet_165', 'meet_166', 'meet_167', 'meet_168', 'meet_169', 'meet_170', 'meet_171', 'meet_172', 'meet_188', 'meet_173', 'meet_174', 'meet_175', 'meet_176', 'meet_177', 'meet_178', 'meet_179', 'meet_180', 'meet_181', 'meet_182', 'meet_183', 'meet_184', 'meet_185', 'meet_186', 'meet_187'] t = meeting_list.index('meet_187') # print meeting_list[0] for meeting in meeting_list[t+1:]: print meeting ex = manage_name_enity("MAN", meeting) ex.get_entities_type() ex.initializations() ex.get_meeting_list() ex.get_participants() ex.get_entities_roots() for speaker in ex.get_participants().keys(): ex.get_entity_list(speaker)

52.869159

1,962

0.610571

785

5,657

4.049682

0.351592

0.025165

0.02202

0.018874

0.195974

0.158855

0.089022

0.066373

0.052532

0

0.094881

0.223086

5,657

107

1,963

52.869159

0.628441

0.03836

0

0.136364

0

0.298527

0.015295

0

0.009346

0

null

0

0.030303

null

0.015152

0

null

0

1

0

null

0

1

0

2

52cb75a6fb0baab6ecea231a0130accf41e80359

768

py

Python

test/test_odt_brf_synopsis.py

peter88213/yWrestler

32a152e8b814983ecaef6e9861df1d6b7008568d

[ "MIT" ]

null

test/test_odt_brf_synopsis.py

peter88213/yWrestler

32a152e8b814983ecaef6e9861df1d6b7008568d

[ "MIT" ]

null

test/test_odt_brf_synopsis.py

peter88213/yWrestler

32a152e8b814983ecaef6e9861df1d6b7008568d

[ "MIT" ]

null

"""Integration tests for the pyWriter project. Test the odt brief synopsis. For further information see https://github.com/peter88213/PyWriter Published under the MIT License (https://opensource.org/licenses/mit-license.php) """ from pywriter.odt.odt_brief_synopsis import OdtBriefSynopsis from pywriter.test.export_test import ExportTest import unittest class NrmOpr(ExportTest, unittest.TestCase): _exportClass = OdtBriefSynopsis # The test methods must be defined here to identify the source of failure. def test_yw7_to_exp(self): super().test_yw7_to_exp() def test_yw7_to_exp_ui(self): super().test_yw7_to_exp_ui() def main(): unittest.main() if __name__ == '__main__': main()

25.6

82

0.714844

101

768

5.178218

0.534653

0.053537

0.068834

0.091778

0.145315

0.080306

0

0.014658

0.200521

768

29

83

26.482759

0.837134

0.386719

0

0.018391

0

1

0.230769

false

0

0.230769

0

0.615385

0

null

0

null

0

1

0

1

0

2

52dd6a557d3d16e969524b0a507af135081d6741

1,447

py

Python

var/spack/repos/builtin/packages/r-fit-models/package.py

varioustoxins/spack

cab0e4cb240f34891a6d753f3393e512f9a99e9a

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

null

var/spack/repos/builtin/packages/r-fit-models/package.py

varioustoxins/spack

cab0e4cb240f34891a6d753f3393e512f9a99e9a

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

6

2022-01-08T08:41:11.000Z

2022-03-14T19:28:07.000Z

var/spack/repos/builtin/packages/r-fit-models/package.py

foeroyingur/spack

5300cbbb2e569190015c72d0970d25425ea38647

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

null

# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class RFitModels(RPackage): """Compare Fitted Models The fit.models function and its associated methods (coefficients, print, summary, plot, etc.) were originally provided in the robust package to compare robustly and classically fitted model objects. See chapters 2, 3, and 5 in Insightful (2002) 'Robust Library User's Guide' <https://robust.r-forge.r-project.org/Robust.pdf>). The aim of the fit.models package is to separate this fitted model object comparison functionality from the robust package and to extend it to support fitting methods (e.g., classical, robust, Bayesian, regularized, etc.) more generally.""" homepage = "https://cloud.r-project.org/package=fit.models" url = "https://cloud.r-project.org/src/contrib/fit.models_0.5-14.tar.gz" list_url = "https://cloud.r-project.org/src/contrib/Archive/fit.models" version('0.64', sha256='f70806bfa85a05337fa5a665264d640e307584714a07a329fbe96c86b0e864da') version('0.5-14', sha256='93b9d119e97b36c648a19c891fc5e69f5306eb5b9bac16bf377555057afd4b6e') version('0.5-13', sha256='7df545fce135159e9abf0a19076628d3ec2999e89f018e142a7a970428823d48') depends_on('r-lattice', type=('build', 'run'))

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96

0.748445

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1,447

5.806452

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0.05

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0

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null

0

1

0

2

52eddd7473758b1d8a62f5b79b517a892bcf0980

7,797

py

Python

tests/utils/test_el_utils.py

adolnik/oozie-to-airflow

e4eed9098fb91c234a2c9c6505ca84a54e6a9e32

[ "Apache-2.0" ]

61

2019-05-23T14:41:53.000Z

2022-03-03T11:33:38.000Z

tests/utils/test_el_utils.py

adolnik/oozie-to-airflow

e4eed9098fb91c234a2c9c6505ca84a54e6a9e32

[ "Apache-2.0" ]

505

2019-05-20T15:21:09.000Z

2022-03-01T23:10:31.000Z

tests/utils/test_el_utils.py

adolnik/oozie-to-airflow

e4eed9098fb91c234a2c9c6505ca84a54e6a9e32

[ "Apache-2.0" ]

33

2019-05-23T01:30:47.000Z

2022-03-28T10:25:09.000Z

# -*- coding: utf-8 -*- # Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests EL utils""" import tempfile import unittest import unittest.mock from parameterized import parameterized from o2a.converter.exceptions import ParseException from o2a.utils import el_utils from o2a.utils.el_utils import normalize_path, escape_string_with_python_escapes, replace_url_el # pylint: disable=too-many-public-methods from o2a.o2a_libs.property_utils import PropertySet class TestELUtils(unittest.TestCase): def test_parse_els_no_file(self): expected_properties = {} props = PropertySet(job_properties={"key": "value"}, config={}, action_node_properties={}) self.assertEqual(expected_properties, el_utils.extract_evaluate_properties(None, props=props)) def test_parse_els_file(self): prop_file = tempfile.NamedTemporaryFile("w", delete=False) prop_file.write("#comment\n" "key=value") prop_file.close() job_properties = {"test": "answer"} props = PropertySet(job_properties=job_properties, config={}, action_node_properties={}) expected = {"key": "value"} self.assertEqual(expected, el_utils.extract_evaluate_properties(prop_file.name, props=props)) def test_parse_els_file_list(self): # Should remain unchanged, as the conversion from a comma-separated string to a List will # occur before writing to file. prop_file = tempfile.NamedTemporaryFile("w", delete=False) prop_file.write("#comment\n" "key=value,value2,${test}") prop_file.close() job_properties = {"test": "answer"} props = PropertySet(config={}, job_properties=job_properties, action_node_properties={}) expected = {"key": "value,value2,answer"} self.assertEqual(expected, el_utils.extract_evaluate_properties(prop_file.name, props=props)) def test_parse_els_multiple_line_with_back_references(self): # Should remain unchanged, as the conversion from a comma-separated string to a List will # occur before writing to file. prop_file = tempfile.NamedTemporaryFile("w", delete=False) prop_file.write( """ #comment key=value,value2,${test} key2=value key3=refer${key2} key4=refer${key5} key5=test """ ) prop_file.close() job_properties = {"test": "answer"} props = PropertySet(config={}, job_properties=job_properties, action_node_properties={}) expected = { "key": "value,value2,answer", "key2": "value", "key3": "refervalue", "key4": "refer${key5}", # no forward-references "key5": "test", } self.assertEqual(expected, el_utils.extract_evaluate_properties(prop_file.name, props=props)) @parameterized.expand( [ ("${nameNode}/examples/output-data/demo/pig-node", "/examples/output-data/demo/pig-node"), ("${nameNode}/examples/output-data/demo/pig-node2", "/examples/output-data/demo/pig-node2"), ("hdfs:///examples/output-data/demo/pig-node2", "/examples/output-data/demo/pig-node2"), ] ) def test_normalize_path_green_path(self, oozie_path, expected_result): cluster = "my-cluster" region = "europe-west3" job_properties = {"nameNode": "hdfs://localhost:8020"} config = {"dataproc_cluster": cluster, "gcp_region": region} result = normalize_path(oozie_path, props=PropertySet(config=config, job_properties=job_properties)) self.assertEqual(expected_result, result) @parameterized.expand( [ ("${nameNode}/examples/output-data/demo/pig-node", "/examples/output-data/demo/pig-node"), ("${nameNode}/examples/output-data/demo/pig-node2", "/examples/output-data/demo/pig-node2"), ("hdfs:///examples/output-data/demo/pig-node2", "/examples/output-data/demo/pig-node2"), ("/examples/output-data/demo/pig-node", "/examples/output-data/demo/pig-node"), ] ) def test_normalize_path_with_allow_no_schema(self, oozie_path, expected_result): cluster = "my-cluster" region = "europe-west3" job_properties = {"nameNode": "hdfs://localhost:8020"} config = {"dataproc_cluster": cluster, "gcp_region": region} result = normalize_path( oozie_path, props=PropertySet(config=config, job_properties=job_properties), allow_no_schema=True ) self.assertEqual(expected_result, result) @parameterized.expand( [ ("${nameNode_1}/examples/output-data/demo/pig-node",), ("/examples/output-data/demo/pig-node",), ("http:///examples/output-data/demo/pig-node2",), ] ) def test_normalize_path_red_path(self, oozie_path): cluster = "my-cluster" region = "europe-west3" job_properties = {"nameNode": "hdfs://localhost:8020"} config = {"dataproc_cluster": cluster, "gcp_region": region} with self.assertRaisesRegex(ParseException, "Unknown path format. "): normalize_path(oozie_path, props=PropertySet(config=config, job_properties=job_properties)) @parameterized.expand( [("http:///examples/output-data/demo/pig-node2",), ("ftp:///examples/output-data/demo/pig-node2",)] ) def test_normalize_path_red_path_allowed_no_schema(self, oozie_path): cluster = "my-cluster" region = "europe-west3" job_properties = {"nameNode": "hdfs://localhost:8020"} config = {"dataproc_cluster": cluster, "gcp_region": region} with self.assertRaisesRegex(ParseException, "Unknown path format. "): normalize_path( oozie_path, props=PropertySet(config=config, job_properties=job_properties), allow_no_schema=True, ) @parameterized.expand( [ ( "${nameNode}/examples/output-data/demo/pig-node", "{{nameNode}}/examples/output-data/demo/pig-node", ), ( "${nameNode}/examples/output-data/demo/pig-node2", "{{nameNode}}/examples/output-data/demo/pig-node2", ), ("hdfs:///examples/output-data/demo/pig-node2", "hdfs:///examples/output-data/demo/pig-node2"), ] ) def test_replace_url_el_green_path(self, oozie_url, expected_result): cluster = "my-cluster" region = "europe-west3" job_properties = {"nameNode": "hdfs://localhost:8020"} config = {"dataproc_cluster": cluster, "gcp_region": region} result = replace_url_el(oozie_url, props=PropertySet(config=config, job_properties=job_properties)) self.assertEqual(expected_result, result) @parameterized.expand( [ ("test", "'test'"), ("ą", "'\\xc4\\x85'"), ("'", "'\\''"), ( "This string is \" replaced with 'Escaped one'", "'This string is \" replaced with \\'Escaped one\\''", ), ('"', "'\"'"), ] ) def test_escape_python_string(self, input_string, expected_string): self.assertEqual(expected_string, escape_string_with_python_escapes(input_string))

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109

0.647685

889

7,797

5.498313

0.212598

0.066489

0.092062

0.11252

0.725655

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0.652414

0.637889

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0.394161

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0

null

0

1

0

1

0

null

0

2

52f5fd554efe1d9dc4814f2a802926ad49c6dc96

284

py

Python

style_transfer/layer.py

haonguyen1107/style_transfer

8df9b20ce8ebc446cf2c0a67393001b3cf318fed

[ "MIT" ]

null

style_transfer/layer.py

haonguyen1107/style_transfer

8df9b20ce8ebc446cf2c0a67393001b3cf318fed

[ "MIT" ]

6

2021-05-21T16:38:24.000Z

2022-02-10T02:01:14.000Z

style_transfer/layer.py

haonguyen1107/style_transfer

8df9b20ce8ebc446cf2c0a67393001b3cf318fed

[ "MIT" ]

null

import numpy as np import tensorflow as tf def upsample_nearest(inputs, scale): shape = tf.shape(input=inputs) n, h, w, c = shape[0], shape[1], shape[2], shape[3] return tf.image.resize(inputs, tf.stack([h*scale, w*scale]), method=tf.image.ResizeMethod.NEAREST_NEIGHBOR)

35.5

111

0.707746

47

284

4.234043

0.595745

0.070352

0

0.016461

0.144366

284

8

111

35.5

0.802469

0

1

0.166667

false

0

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

2

52f6af1720ba0dec0d1ab65abeda14c9c6638dc8

4,827

py

Python

securedblog/settings.py

Drop-G/SecuredBlog

7ebe7da91bb744486ccf48b7d86ff7603669c4db

[ "MIT" ]

null

securedblog/settings.py

Drop-G/SecuredBlog

7ebe7da91bb744486ccf48b7d86ff7603669c4db

[ "MIT" ]

null

securedblog/settings.py

Drop-G/SecuredBlog

7ebe7da91bb744486ccf48b7d86ff7603669c4db

[ "MIT" ]

null

""" Django settings for securedblog project. Generated by 'django-admin startproject' using Django 3.1.4. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path import django_heroku import os import environ env = environ.Env( # set casting, default value DEBUG=(bool, False) ) # reading .env file environ.Env.read_env() # False if not in os.environ DEBUG = env('DEBUG') # Raises django's ImproperlyConfigured exception if SECRET_KEY not in os.environ SECRET_KEY = env('SECRET_KEY') # Parse database connection url strings like psql://user:pass@127.0.0.1:8458/db DATABASES = { # read os.environ['DATABASE_URL'] and raises ImproperlyConfigured exception if not found 'default': env.db(), # read os.environ['SQLITE_URL'] 'extra': env.db('SQLITE_URL', default='sqlite:////tmp/my-tmp-sqlite.db') } CACHES = { # read os.environ['CACHE_URL'] and raises ImproperlyConfigured exception if not found 'default': env.cache(), # read os.environ['REDIS_URL'] 'redis': env.cache('REDIS_URL') } # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = ["secured-blog.herokuapp.com"] # Application definition INSTALLED_APPS = [ 'blog.apps.BlogConfig', 'users.apps.UsersConfig', 'crispy_forms', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'fontawesome-free', 'storages', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'securedblog.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'securedblog.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' STATIC_ROOT = os.path.join(BASE_DIR,'staticfiles') CRISPY_TEMPLATE_PACK = 'bootstrap4' MEDIA_ROOT = os.path.join(BASE_DIR,'media') MEDIA_URL = '/media/' LOGIN_REDIRECT_URL = 'security-home' LOGIN_URL = 'login' # AWS_ACCESS_KEY_ID = env('AWS_ACCESS_KEY_ID') # AWS_SECRET_ACCESS_KEY = env('AWS_SECRET_ACCESS_KEY') # AWS_STORAGE_BUCKET_NAME = env('AWS_STORAGE_BUCKET_NAME') # AWS_DEFAULT_ACL = 'public-read' # AWS_S3_FILE_OVERWRITE = False # AWS_DEFAULT_ACL = None # DEFAULT_FILE_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage' # AWS_S3_REGION_NAME = 'us-east-2' # AWS_S3_SIGNATURE_VERSION = 's3v4' # AWS_QUERYSTRING_AUTH=False EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend' EMAIL_HOST = 'smtp.gmail.com' EMAIL_PORT = 587 EMAIL_USE_TLS = True EMAIL_HOST_USER = env('EMAIL_USER') EMAIL_HOST_PASSWORD = env('EMAIL_PASS') django_heroku.settings(locals())

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null

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1

0

null

0

1

0

2

5e000b0b38aee109135c65234832568d1fd44b1b

518

py

Python

estampes/tools/__init__.py

jbloino/estampes

39d248cba3541f684c4684661a1664fc42157bdb

[ "MIT" ]

null

estampes/tools/__init__.py

jbloino/estampes

39d248cba3541f684c4684661a1664fc42157bdb

[ "MIT" ]

2

2021-06-07T12:51:35.000Z

2021-07-14T17:14:24.000Z

estampes/tools/__init__.py

jbloino/estampes

39d248cba3541f684c4684661a1664fc42157bdb

[ "MIT" ]

null

"""Module with different tools to facilitate data operations in ESTAMPES This module provides different simple tools, by submodules to facilitate common operations like conversions, transformations... The tools are gathered by submodules based on their intended use: `atom` Atom-specific tools. `comp` Related to basic software/computing operations (ex: mem. units). `math` Simple math functions. `vib` Related to vibrations, for instance eigenvectors orientations. See submodules for details. """

30.470588

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null

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1

0

null

0

1

0

2

5e110e3b6bd0ef87b51a828ee6028ea35db35d83

468

py

Python

visualDet3D/networks/detectors/yolomono3d_core.py

jovialio/visualDet3D

5a54e4547576e4eb23d768746b2bdb2b4f25753f

[ "Apache-2.0" ]

250

2021-02-02T02:23:18.000Z

2022-03-31T11:00:10.000Z

visualDet3D/networks/detectors/yolomono3d_core.py

jovialio/visualDet3D

5a54e4547576e4eb23d768746b2bdb2b4f25753f

[ "Apache-2.0" ]

56

2021-02-03T08:32:11.000Z

2022-03-30T01:41:46.000Z

visualDet3D/networks/detectors/yolomono3d_core.py

jovialio/visualDet3D

5a54e4547576e4eb23d768746b2bdb2b4f25753f

[ "Apache-2.0" ]

45

2021-02-25T02:01:15.000Z

2022-03-03T10:32:58.000Z

import numpy as np import torch.nn as nn import torch import math import time from visualDet3D.networks.backbones import resnet class YoloMono3DCore(nn.Module): """Some Information about YoloMono3DCore""" def __init__(self, backbone_arguments=dict()): super(YoloMono3DCore, self).__init__() self.backbone =resnet(**backbone_arguments) def forward(self, x): x = self.backbone(x['image']) x = x[0] return x

24.631579

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null

0

null

0

1

0

1

0

2

5e260803c3c6580bff0c9245566a0a51c9544936

1,302

py

Python

LeetCode/Problems/667_beautiful_arrangement.py

hooyao/LeetCode-Py3

f462b66ae849f4332a4b150f206dd49c7519e83b

[ "MIT" ]

null

LeetCode/Problems/667_beautiful_arrangement.py

hooyao/LeetCode-Py3

f462b66ae849f4332a4b150f206dd49c7519e83b

[ "MIT" ]

null

LeetCode/Problems/667_beautiful_arrangement.py

hooyao/LeetCode-Py3

f462b66ae849f4332a4b150f206dd49c7519e83b

[ "MIT" ]

null

import sys class Solution: def constructArray(self, n, k): """ :type n: int :type k: int :rtype: List[int] """ result = [] k_left = k i = 1 j = n idx = 0 while i <= j: if k == 1: result.append(i) i += 1 else: if idx == 0: result.append(i) i += 1 else: if k_left > 1: if idx % 2 == 1: result.append(j) j -= 1 k_left -= 1 else: result.append(i) i += 1 k_left -= 1 else: last = result[-1] if last > j: result.append(j) j -= 1 else: result.append(i) i += 1 idx += 1 return result def main(*args): solution = Solution() print(solution.constructArray(6, 3)) if __name__ == '__main__': main(*sys.argv[1:])

24.111111

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1,302

3.176991

0.300885

0.200557

0.144847

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0.350975

0.228412

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false

0

0.02439

0

0.121951

0.02439

0

null

1

0

1

0

null

0

2

eaae66bedd922a4e82d4370e92ec3578413a7199

478

py

Python

querybook/server/lib/engine_status_checker/null_checker.py

darapuk/querybook

5ff8ab9d093505b1c7474f3ad5dbc48da8ae7bed

[ "Apache-2.0" ]

null

querybook/server/lib/engine_status_checker/null_checker.py

darapuk/querybook

5ff8ab9d093505b1c7474f3ad5dbc48da8ae7bed

[ "Apache-2.0" ]

null

querybook/server/lib/engine_status_checker/null_checker.py

darapuk/querybook

5ff8ab9d093505b1c7474f3ad5dbc48da8ae7bed

[ "Apache-2.0" ]

null

from .base_checker import BaseEngineStatusChecker, EngineStatus from const.query_execution import QueryEngineStatus class NullChecker(BaseEngineStatusChecker): @classmethod def NAME(cls) -> str: return "NullChecker" @classmethod def check(cls, engine_id: int, uid: int) -> EngineStatus: """Perform the check Override if you want custom results """ return {"status": QueryEngineStatus.UNAVAILABLE.value, "messages": []}

29.875

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0.698745

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478

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false

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0.777778

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0

2

eabed358854f4e132cc5dcdc9eb98532c1a9b517

528

py

Python

tests/example_wf/test_handler_python_version.py

MacHu-GWU/afwf-project

09ba89da9ec03c125031bb7cc01bcdf0042d3408

[ "MIT" ]

null

tests/example_wf/test_handler_python_version.py

MacHu-GWU/afwf-project

09ba89da9ec03c125031bb7cc01bcdf0042d3408

[ "MIT" ]

null

tests/example_wf/test_handler_python_version.py

MacHu-GWU/afwf-project

09ba89da9ec03c125031bb7cc01bcdf0042d3408

[ "MIT" ]

null

# -*- coding: utf-8 -*- import pytest from afwf.example_wf.handlers.python_version import handler class TestHandler: def test_get_all_python_version(self): versions = handler.get_all_python_version() assert "2.7.8" in versions assert "3.6.15" in versions assert "3.7.13" in versions assert "3.8.13" in versions assert "3.9.9" in versions if __name__ == "__main__": import os basename = os.path.basename(__file__) pytest.main([basename, "-s", "--tb=native"])

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0.21118

0.118012

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0.227273

528

21

60

25.142857

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0.039773

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0.071429

false

0

0.214286

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0.357143

0

null

0

1

0

null

0

2

eabf94fdd828f484110a645f4effc81e590226b8

6,050

py

Python

nebula2/data/ResultSet.py

knwng/nebula-python

b37877736eb8cd740110797d7923442e74435b32

[ "Apache-2.0" ]

null

nebula2/data/ResultSet.py

knwng/nebula-python

b37877736eb8cd740110797d7923442e74435b32

[ "Apache-2.0" ]

null

nebula2/data/ResultSet.py

knwng/nebula-python

b37877736eb8cd740110797d7923442e74435b32

[ "Apache-2.0" ]

null

#!/usr/bin/env python # --coding:utf-8-- # Copyright (c) 2020 vesoft inc. All rights reserved. # # This source code is licensed under Apache 2.0 License, # attached with Common Clause Condition 1.0, found in the LICENSES directory. from nebula2.common.ttypes import ErrorCode from nebula2.data.DataObject import DataSetWrapper class ResultSet(object): def __init__(self, resp, all_latency, decode_type='utf-8', timezone_offset: int = 0): """Constructor method :param resp: the response from the service :param all_latency: the execution time from the time the client sends the request to the time the response is received and the data is decoded :param decode_type: the decode_type for decode binary value, it comes from the service, but now the service not return, use utf-8 default :param timezone_offset: the timezone offset for calculate local time, it comes from the service """ self._decode_type = decode_type self._resp = resp self._data_set_wrapper = None self._all_latency = all_latency self._timezone_offset = timezone_offset if self._resp.data is not None: self._data_set_wrapper = DataSetWrapper(data_set=resp.data, decode_type=self._decode_type, timezone_offset=self._timezone_offset) def is_succeeded(self): """check the response from the sesrvice is succeeded :return: bool """ return self._resp.error_code == ErrorCode.SUCCEEDED def error_code(self): """if the response is failed, the service return the error code :return: nebula2.common.ttypes.ErrorCode """ return self._resp.error_code def space_name(self): """get the space for the current operation :return: space name or '' """ if self._resp.space_name is None: return '' return self._resp.space_name.decode(self._decode_type) def error_msg(self): """if the response is failed, the service return the error message :return: error message """ if self._resp.error_msg is None: return '' return self._resp.error_msg.decode(self._decode_type) def comment(self): """the comment return by service, it maybe some warning message :return: comment message """ if self._resp.error_msg is None: return '' return self._resp.comment.decode(self._decode_type) def latency(self): """the time the server processes the request :return: latency """ return self._resp.latency_in_us def whole_latency(self): """the execution time from the time the client sends the request to the time the response is received and the data is decoded :return: all_latency """ return self._all_latency def plan_desc(self): """get plan desc, whe user want to get the execute plan use `PROFILE` and `EXPLAIN` :return:plan desc """ return self._resp.plan_desc def is_empty(self): """the data of response is empty :return: true of false """ return self._data_set_wrapper is None or self._data_set_wrapper.get_row_size() == 0 def keys(self): """get the column names :return: column names """ if self._data_set_wrapper is None: return [] return self._data_set_wrapper.get_col_names() def row_size(self): """get the row size :return: row size """ if self._data_set_wrapper is None: return 0 return len(self._data_set_wrapper.get_rows()) def col_size(self): """get column size :return: column size """ if self._data_set_wrapper is None: return 0 return len(self._data_set_wrapper.get_col_names()) def get_row_types(self): """get the value type of the row :return: list<int> ttypes.Value.__EMPTY__ = 0 ttypes.Value.NVAL = 1 ttypes.Value.BVAL = 2 ttypes.Value.IVAL = 3 ttypes.Value.FVAL = 4 ttypes.Value.SVAL = 5 ttypes.Value.DVAL = 6 ttypes.Value.TVAL = 7 ttypes.Value.DTVAL = 8 ttypes.Value.VVAL = 9 ttypes.Value.EVAL = 10 ttypes.Value.PVAL = 11 ttypes.Value.LVAL = 12 ttypes.Value.MVAL = 13 ttypes.Value.UVAL = 14 ttypes.Value.GVAL = 15 ttypes.Value.GGVAL = 16 """ if self._data_set_wrapper is None: return [] return self._data_set_wrapper.get_row_types() def row_values(self, row_index): """get row values :param row_index: :return: list<ValueWrapper> """ if self._data_set_wrapper is None: return [] return self._data_set_wrapper.row_values(row_index) def column_values(self, key): """get column values :param key: the specified column name :return: list<ValueWrapper> """ if self._data_set_wrapper is None: return [] return self._data_set_wrapper.column_values(key) def rows(self): """get all rows :return: list<Row> """ if self._data_set_wrapper is None: return [] return self._data_set_wrapper.get_rows() def __iter__(self): """the iterator for per row :return: iter """ return iter(self._data_set_wrapper) def __repr__(self): return "{}({})".format(self.__class__.__name__, self._data_set_wrapper) def __eq__(self, other): if not isinstance(other, self.__class__): return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not (self == other)

29.086538

95

0.600496

767

6,050

4.494133

0.230769

0.042646

0.063824

0.104439

0.343777

0.284305

0.261967

0.257905

0.251523

0

0.010152

0.316198

6,050

207

96

29.227053

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0.370083

0

0.253333

0

0.003439

0

1

0.28

false

0

0.026667

0.733333

0

null

0

null

0

1

0

1

0

2

eaca64e35014042a9f7e5fd5db5aa4ea086467ed

3,031

py

Python

tests/managers/test_custom_managers.py

brosner/django-sqlalchemy

3f427d726acac2469ba2b39c59210bde574591e5

[ "BSD-3-Clause" ]

4

2015-11-14T13:54:56.000Z

2020-06-05T15:04:48.000Z

tests/managers/test_custom_managers.py

brosner/django-sqlalchemy

3f427d726acac2469ba2b39c59210bde574591e5

[ "BSD-3-Clause" ]

null

tests/managers/test_custom_managers.py

brosner/django-sqlalchemy

3f427d726acac2469ba2b39c59210bde574591e5

[ "BSD-3-Clause" ]

3

2015-11-25T10:56:46.000Z

2021-07-13T19:19:42.000Z

from django_sqlalchemy.test import * from django_sqlalchemy.backend import metadata from django.db import models # An example of a custom manager called "objects". class PersonManager(models.Manager): def get_fun_people(self): return self.filter(fun=True) class Person(models.Model): first_name = models.CharField(max_length=30) last_name = models.CharField(max_length=30) fun = models.BooleanField() objects = PersonManager() def __unicode__(self): return u"%s %s" % (self.first_name, self.last_name) # An example of a custom manager that sets get_query_set(). class PublishedBookManager(models.Manager): def get_query_set(self): return super(PublishedBookManager, self).get_query_set().filter(is_published=True) class Book(models.Model): title = models.CharField(max_length=50) author = models.CharField(max_length=30) is_published = models.BooleanField() published_objects = PublishedBookManager() authors = models.ManyToManyField(Person, related_name='books') def __unicode__(self): return self.title # An example of providing multiple custom managers. class FastCarManager(models.Manager): def get_query_set(self): return super(FastCarManager, self).get_query_set().filter(top_speed__gt=150) class Car(models.Model): name = models.CharField(max_length=10) mileage = models.IntegerField() top_speed = models.IntegerField(help_text="In miles per hour.") cars = models.Manager() fast_cars = FastCarManager() def __unicode__(self): return self.name metadata.create_all() p1 = Person(first_name='Bugs', last_name='Bunny', fun=True) p1.save() p2 = Person(first_name='Droopy', last_name='Dog', fun=False) p2.save() b1 = Book(title='How to program', author='Rodney Dangerfield', is_published=True) b1.save() b2 = Book(title='How to be smart', author='Albert Einstein', is_published=False) b2.save() c1 = Car(name='Corvette', mileage=21, top_speed=180) c1.save() c2 = Car(name='Neon', mileage=31, top_speed=100) c2.save() class TestCustomManager(object): def setup(self): pass def test_should_see_custom_manager_method(self): assert_list_same([p1], Person.objects.get_fun_people()) def test_should_extend_default_manager(self): assert_instance_of(PublishedBookManager, p2.books) @raises(AttributeError) def test_should_not_contain_a_default_manager_if_custom_provided(self): Book.objects def test_should_extend_default_manager_with_related_manager(self): assert_instance_of(PersonManager, b2.authors) def test_should_only_return_published_objects(self): assert_list_same([b1], Book.published_objects.all()) def test_should_order_by(self): assert_list_same([c1, c2], Car.cars.order_by('name')) assert_list_same([c1], Car.fast_cars.all()) def test_should_return_default_manager_as_first_manager_in_class(self): assert_list_same([c1, c2], Car._default_manager.order_by('name'))

31.905263

90

0.734411

414

3,031

5.091787

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0.023245

0.043169

0.056926

0.237666

0.147059

0.063567

0.039848

0

0.017167

0.154404

3,031

94

91

32.244681

0.805306

0.051468

0

0.074627

0

0.044584

0

0.104478

1

0.208955

false

0.014925

0.044776

0.089552

0.656716

0

null

0

null

0

1

0

1

0

2

eace1818ea0e4bfbaf3d5f8eb0e2206012c172db

258

py

Python

main.py

Aulig/easee-kostal-control

b14c66e90f1bfaaebfc5db124f861cdc69c6d166

[ "MIT" ]

null

main.py

Aulig/easee-kostal-control

b14c66e90f1bfaaebfc5db124f861cdc69c6d166

[ "MIT" ]

null

main.py

Aulig/easee-kostal-control

b14c66e90f1bfaaebfc5db124f861cdc69c6d166

[ "MIT" ]

null

import asyncio import platform import telegram_helper if platform.system() == "Windows": # otherwise some "RuntimeError: Event loop is closed" occur asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) telegram_helper.run_bot()

23.454545

75

0.794574

30

258

6.633333

0.7

0.140704

0

0.124031

258

10

76

25.8

0.880531

0.22093

0

0.035176

0

1

0

true

0

0.5

0

0.5

0

null

0

null

0

1

0

1

0

2

eaceda788ea8f95ceee341a5354da8160c0cf03f

3,930

py

Python

mara_page/acl.py

mara/mara-page

1756505593ed77587312ab06c325265fc87403ab

[ "MIT" ]

4

2018-02-07T13:21:16.000Z

2020-02-27T09:38:44.000Z

mara_page/acl.py

mara/mara-page

1756505593ed77587312ab06c325265fc87403ab

[ "MIT" ]

4

2017-05-19T10:22:58.000Z

2020-10-14T15:29:56.000Z

mara_page/acl.py

mara/mara-page

1756505593ed77587312ab06c325265fc87403ab

[ "MIT" ]

2

2017-07-27T16:14:57.000Z

2020-02-06T12:55:55.000Z

"""A minimal API for defining ACL protected resources and querying permissions""" import functools import typing import flask class AclResource: def __init__(self, name: str, rank: int = 1, children: typing.Optional[typing.List['AclResource']] = None): """ A resource that is protected by an acl Args: name: An identifier of the resource, must be unique among its parents rank: How to sort entries within siblings description: An optional help text children: A list of sub-entries """ self.name = name self.rank = rank self.children = [] self.parent = None if children: for child in children: self.add_child(child) def add_child(self, child: 'AclResource'): self.children.append(child) child.set_parent(self) def set_parent(self, parent: 'AclResource'): """Sets the parent of the entry""" self.parent = parent def __repr__(self): return '<AclResource "' + self.name + '">' def current_user_has_permission(resource: AclResource) -> bool: """ Whether the current user is allowed to access a specific resource. """ return current_user_has_permissions([resource])[0][1] def current_user_has_permissions(resources: [AclResource]) -> [[AclResource, bool]]: """ Determines whether the currently logged in user has permissions for a list of resources. Implement actual behavior by patching the function. """ return list(map(lambda resource: [resource, True], resources)) def current_user_email(): """ Returns the email address of the currently logged in user. Implement actual behavior by patching the function. """ return 'guest@localhost' def user_has_permission(email: str, resource: AclResource) -> bool: """ Whether a user is allowed to access a specific resource. """ return user_has_permissions(email, [resource])[0][1] def user_has_permissions(email: str, resources: [AclResource]) -> [[AclResource, bool]]: """ Determines whether a user has permissions for a list of resources. Implement actual behavior by patching the function. """ return map(lambda resource: [resource, True], resources) def require_permission(resource: AclResource, do_abort: bool = True, abort_message="Sorry, but you don't have enough permissions to view this page.", return_message="Not enough permissions.") \ -> typing.Callable: """ A decorator for protecting a resource by acl Args: resource: The resource for which user permissions are required do_abort: When true, a http exception is raised if the the user does not have permission (useful when protecting whole pages). When false, a small error message is returned (useful for ajax handlers). abort_message: The text of the "permission denied" http exception return_message: The text of the returned "permission denied" inline content Returns: The wrapped function """ def decorator(f): def wrapper(*args, **kwargs): if not current_user_has_permission(resource): if do_abort: flask.abort(403, abort_message) else: return inline_permission_denied_message(return_message) else: return f(*args, **kwargs) functools.update_wrapper(wrapper, f) return wrapper return decorator def inline_permission_denied_message(message="Not enough permissions"): """Returns a an inline html element that signals insufficient permissions""" return f'<span style="font-style:italic;color:#aaa"><span class="fa fa-lock"> </span> {message}</span>'

32.75

107

0.642494

468

3,930

5.290598

0.316239

0.025444

0.043619

0.030291

0.260097

0.201131

0.159128

0.12601

0.105816

0.070275

0

0.002799

0.272774

3,930

119

108

33.02521

0.863541

0.368448

0

0.04

0

0.02

0.116792

0.01851

0

1

0.26

false

0

0.06

0.02

0.56

0

null

0

null

0

1

0

1

0

2

eaeb0aafeda9486cc364b3613b1b2607d5038f02

180

py

Python

lachesis/__init__.py

j1fig/lachesis

ac732db825e5fd411da2ea280401a099e93ce2ce

[ "MIT" ]

null

lachesis/__init__.py

j1fig/lachesis

ac732db825e5fd411da2ea280401a099e93ce2ce

[ "MIT" ]

null

lachesis/__init__.py

j1fig/lachesis

ac732db825e5fd411da2ea280401a099e93ce2ce

[ "MIT" ]

null

from flask import Flask app = Flask(__name__) import lachesis.views from lachesis.models.database import init_db, clear_db if __name__ == '__main__': app.run(debug=True)

13.846154

54

0.75

26

180

4.653846

0.653846

0

0.161111

180

12

55

15

0.801325

0

0.044444

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

null

0

1

0

2

eaffe84271bc67de67a5a8f9f5947f5334e627da

3,067

py

Python

rarity_lookup.py

Demonliquid/ero-drop-bot

6b8358cc5a9bca57e7e3f7c99b80be162cfe85b3

[ "MIT" ]

null

rarity_lookup.py

Demonliquid/ero-drop-bot

6b8358cc5a9bca57e7e3f7c99b80be162cfe85b3

[ "MIT" ]

null

rarity_lookup.py

Demonliquid/ero-drop-bot

6b8358cc5a9bca57e7e3f7c99b80be162cfe85b3

[ "MIT" ]

null

# %% import pandas as pd import requests from collections import Counter # %% def collection1_add_ids(coll1): for address in coll1["address"]: try: condicion = coll1["address"] == address coll1.loc[condicion, "coll1_ids"] = ",".join(coll1_add_columns(address)) except: pass def collection2_add_ids(coll2): for address in coll2["address"]: try: condicion = coll2["address"] == address coll2.loc[condicion, "coll2_ids"] = ",".join(coll2_add_columns(address)) except: pass def coll1_add_columns(holder_address): account_nft_balance = get_coll1_NFT_balance(holder_address) nfts_user_currently_has = get_coll1_nft_ids_holders(account_nft_balance) return nfts_user_currently_has def coll2_add_columns(holder_address): account_nft_balance = get_coll2_NFT_balance(holder_address) nfts_user_currently_has = get_coll2_nft_ids_holders(account_nft_balance) return nfts_user_currently_has def get_coll1_NFT_balance(holder_address): bscscan_api_key = "T6R9ZY3EPH1D7MRH2X3V8VW6WRK6F4YH2F" coll1_contract = "0xb0dfe92fc62b48611716dc9fa0d3a2187c1c854d" url = f"https://api.bscscan.com/api?module=account&action=tokennfttx&contractaddress={coll1_contract}&address={holder_address}&page=1&offset=100&startblock=0&endblock=999999999&sort=asc&apikey={bscscan_api_key}" response = requests.get(url) data = response.json() return data["result"] def get_coll2_NFT_balance(holder_address): bscscan_api_key = "T6R9ZY3EPH1D7MRH2X3V8VW6WRK6F4YH2F" coll2_contract = "0x4502eb52a587d58b339576dbe3b09f96aeb54dd1" url = f"https://api.bscscan.com/api?module=account&action=tokennfttx&contractaddress={coll2_contract}&address={holder_address}&page=1&offset=100&startblock=0&endblock=999999999&sort=asc&apikey={bscscan_api_key}" response = requests.get(url) data = response.json() return data["result"] def get_coll1_nft_ids_holders(account_nft_balance): all_nft_transaction_ids = [] for nft in account_nft_balance: if nft["tokenSymbol"] == "ECLC": all_nft_transaction_ids.append(nft["tokenID"]) nft_count = Counter(all_nft_transaction_ids) nfts_user_currently_has = [] for nft_id in nft_count: if nft_count[nft_id] % 2 != 0: nfts_user_currently_has.append(nft_id) return nfts_user_currently_has def get_coll2_nft_ids_holders(account_nft_balance): all_nft_transaction_ids = [] for nft in account_nft_balance: if nft["tokenSymbol"] == "ECLC2": all_nft_transaction_ids.append(nft["tokenID"]) nft_count = Counter(all_nft_transaction_ids) nfts_user_currently_has = [] for nft_id in nft_count: if nft_count[nft_id] % 2 != 0: nfts_user_currently_has.append(nft_id) return nfts_user_currently_has # %% coll1 = pd.read_csv(r"collection1_holders.csv") coll2 = pd.read_csv(r"collection2_holders.csv") # %% collection1_add_ids(coll1) collection2_add_ids(coll2) # %% coll1 # %%

31.618557

215

0.727747

395

3,067

5.281013

0.202532

0.057526

0.081496

0.095877

0.739693

0.701342

0.698466

0.579099

0.534995

0

0.057087

0.171829

3,067

96

216

31.947917

0.764173

0.005543

0

0.515152

0

0.030303

0.232337

0.065067

0

0.027604

0

1

0.121212

false

0.030303

0.045455

0

0.257576

0

null

0

1

0

null

0

2

d82f9146a4d781d967c08f8b48f65831718062ad

235

py

Python

Numeric Patterns/numericpattern6.py

Daksh777/Python-PatternHouse

ab801631c2e1f5ed3cc12a26c959d41a5e51273d

[ "MIT" ]

8

2021-03-20T11:26:35.000Z

2022-01-05T02:39:15.000Z

Numeric Patterns/numericpattern6.py

Daksh777/Python-PatternHouse

ab801631c2e1f5ed3cc12a26c959d41a5e51273d

[ "MIT" ]

851

2021-04-02T09:08:15.000Z

2022-01-12T11:26:57.000Z

Numeric Patterns/numericpattern6.py

Daksh777/Python-PatternHouse

ab801631c2e1f5ed3cc12a26c959d41a5e51273d

[ "MIT" ]

15

2021-04-13T06:10:17.000Z

2022-01-08T05:07:21.000Z

# Numeric Pattern 6 """ 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 """ i = 0 nums = list(range(1, 50, 2)) for _ in range(5): j = i + 5 row = " ".join(map(str, nums[i:j])) print(row) i = j

11.75

39

0.523404

54

235

2.259259

0.796296

0.032787

0

0.335443

0.32766

235

19

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12.368421

0.436709

0.374468

0

0.007299

0

1

0

false

0

0.142857

0

null

0

1

0

1

0

null

0

2

d8321955bdfea3d14eb1f1c1b9dd4346c9f70150

1,137

py

Python

custom_components/example_load_platform/sensor.py

satori99/example-custom-config

157f46ff2aca689902d4199a2d0ed23055cec4b6

[ "Apache-2.0" ]

null

custom_components/example_load_platform/sensor.py

satori99/example-custom-config

157f46ff2aca689902d4199a2d0ed23055cec4b6

[ "Apache-2.0" ]

null

custom_components/example_load_platform/sensor.py

satori99/example-custom-config

157f46ff2aca689902d4199a2d0ed23055cec4b6

[ "Apache-2.0" ]

null

"""Platform for sensor integration.""" from homeassistant.const import TEMP_CELSIUS from homeassistant.helpers.entity import Entity from . import DOMAIN def setup_platform(hass, config, add_entities, discovery_info=None): """Set up the sensor platform.""" # We only want this platform to be set up via discovery. if discovery_info is None: return add_entities([ExampleSensor()]) class ExampleSensor(Entity): """Representation of a sensor.""" def __init__(self): """Initialize the sensor.""" self._state = None @property def name(self): """Return the name of the sensor.""" return 'Example Temperature' @property def state(self): """Return the state of the sensor.""" return self._state @property def unit_of_measurement(self): """Return the unit of measurement.""" return TEMP_CELSIUS def update(self): """Fetch new state data for the sensor. This is the only method that should fetch new data for Home Assistant. """ self._state = self.hass.data[DOMAIN]['temperature']

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d8377ddf37c94bba76e26d842cc8f2b8bd0c5ac2

8,210

py

Python

tccli/services/__init__.py

ws0416/tencentcloud-cli

0a90fa77c8be1efa30b196a3eeb31b8be1f6a325

[ "Apache-2.0" ]

null

tccli/services/__init__.py

ws0416/tencentcloud-cli

0a90fa77c8be1efa30b196a3eeb31b8be1f6a325

[ "Apache-2.0" ]

null

tccli/services/__init__.py

ws0416/tencentcloud-cli

0a90fa77c8be1efa30b196a3eeb31b8be1f6a325

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import imp def action_caller(service): cur_path = os.path.dirname(os.path.abspath(__file__)) fp, pathname, desc = imp.find_module(service, [cur_path]) mod = imp.load_module("tccli.services." + service, fp, pathname, desc) return mod.action_caller SERVICE_VERSIONS = { "aa": [ "2020-02-24" ], "aai": [ "2018-05-22" ], "af": [ "2020-02-26" ], "afc": [ "2020-02-26" ], "ame": [ "2019-09-16" ], "ams": [ "2020-12-29", "2020-06-08" ], "antiddos": [ "2020-03-09" ], "apcas": [ "2020-11-27" ], "ape": [ "2020-05-13" ], "api": [ "2020-11-06" ], "apigateway": [ "2018-08-08" ], "asr": [ "2019-06-14" ], "asw": [ "2020-07-22" ], "autoscaling": [ "2018-04-19" ], "ba": [ "2020-07-20" ], "batch": [ "2017-03-12" ], "bda": [ "2020-03-24" ], "billing": [ "2018-07-09" ], "bizlive": [ "2019-03-13" ], "bm": [ "2018-04-23" ], "bmeip": [ "2018-06-25" ], "bmlb": [ "2018-06-25" ], "bmvpc": [ "2018-06-25" ], "bri": [ "2019-03-28" ], "btoe": [ "2021-05-14", "2021-03-03" ], "cam": [ "2019-01-16" ], "captcha": [ "2019-07-22" ], "cat": [ "2018-04-09" ], "cbs": [ "2017-03-12" ], "ccc": [ "2020-02-10" ], "cdb": [ "2017-03-20" ], "cdn": [ "2018-06-06" ], "cds": [ "2018-04-20" ], "cfs": [ "2019-07-19" ], "cfw": [ "2019-09-04" ], "chdfs": [ "2020-11-12", "2019-07-18" ], "cii": [ "2021-04-08", "2020-12-10" ], "cim": [ "2019-03-18" ], "cis": [ "2018-04-08" ], "ckafka": [ "2019-08-19" ], "clb": [ "2018-03-17" ], "cloudaudit": [ "2019-03-19" ], "cloudhsm": [ "2019-11-12" ], "cls": [ "2020-10-16" ], "cme": [ "2019-10-29" ], "cmq": [ "2019-03-04" ], "cms": [ "2019-03-21" ], "cpdp": [ "2019-08-20" ], "cr": [ "2018-03-21" ], "cvm": [ "2017-03-12" ], "cwp": [ "2018-02-28" ], "cws": [ "2018-03-12" ], "cynosdb": [ "2019-01-07" ], "dayu": [ "2018-07-09" ], "dbbrain": [ "2021-05-27", "2019-10-16" ], "dc": [ "2018-04-10" ], "dcdb": [ "2018-04-11" ], "dlc": [ "2021-01-25" ], "dnspod": [ "2021-03-23" ], "domain": [ "2018-08-08" ], "drm": [ "2018-11-15" ], "ds": [ "2018-05-23" ], "dtf": [ "2020-05-06" ], "dts": [ "2018-03-30" ], "ecc": [ "2018-12-13" ], "ecdn": [ "2019-10-12" ], "ecm": [ "2019-07-19" ], "eiam": [ "2021-04-20" ], "eis": [ "2021-06-01", "2020-07-15" ], "emr": [ "2019-01-03" ], "es": [ "2018-04-16" ], "facefusion": [ "2018-12-01" ], "faceid": [ "2018-03-01" ], "fmu": [ "2019-12-13" ], "ft": [ "2020-03-04" ], "gaap": [ "2018-05-29" ], "gme": [ "2018-07-11" ], "gpm": [ "2020-08-20" ], "gs": [ "2019-11-18" ], "gse": [ "2019-11-12" ], "habo": [ "2018-12-03" ], "hcm": [ "2018-11-06" ], "iai": [ "2020-03-03", "2018-03-01" ], "ic": [ "2019-03-07" ], "ie": [ "2020-03-04" ], "iir": [ "2020-04-17" ], "ims": [ "2020-12-29", "2020-07-13" ], "iot": [ "2018-01-23" ], "iotcloud": [ "2021-04-08", "2018-06-14" ], "iotexplorer": [ "2019-04-23" ], "iottid": [ "2019-04-11" ], "iotvideo": [ "2020-12-15", "2019-11-26" ], "iotvideoindustry": [ "2020-12-01" ], "kms": [ "2019-01-18" ], "lighthouse": [ "2020-03-24" ], "live": [ "2018-08-01" ], "lp": [ "2020-02-24" ], "mariadb": [ "2017-03-12" ], "market": [ "2019-10-10" ], "memcached": [ "2019-03-18" ], "mgobe": [ "2020-10-14", "2019-09-29" ], "mna": [ "2021-01-19" ], "mongodb": [ "2019-07-25", "2018-04-08" ], "monitor": [ "2018-07-24" ], "mps": [ "2019-06-12" ], "mrs": [ "2020-09-10" ], "ms": [ "2018-04-08" ], "msp": [ "2018-03-19" ], "mvj": [ "2019-09-26" ], "nlp": [ "2019-04-08" ], "npp": [ "2019-08-23" ], "oceanus": [ "2019-04-22" ], "ocr": [ "2018-11-19" ], "organization": [ "2018-12-25" ], "partners": [ "2018-03-21" ], "postgres": [ "2017-03-12" ], "privatedns": [ "2020-10-28" ], "rce": [ "2020-11-03" ], "redis": [ "2018-04-12" ], "rkp": [ "2019-12-09" ], "rp": [ "2020-02-24" ], "rum": [ "2021-06-22" ], "scf": [ "2018-04-16" ], "ses": [ "2020-10-02" ], "smpn": [ "2019-08-22" ], "sms": [ "2021-01-11", "2019-07-11" ], "soe": [ "2018-07-24" ], "solar": [ "2018-10-11" ], "sqlserver": [ "2018-03-28" ], "ssa": [ "2018-06-08" ], "ssl": [ "2019-12-05" ], "sslpod": [ "2019-06-05" ], "ssm": [ "2019-09-23" ], "sts": [ "2018-08-13" ], "taf": [ "2020-02-10" ], "tag": [ "2018-08-13" ], "tat": [ "2020-10-28" ], "tav": [ "2019-01-18" ], "tbaas": [ "2018-04-16" ], "tbm": [ "2018-01-29" ], "tbp": [ "2019-06-27", "2019-03-11" ], "tcaplusdb": [ "2019-08-23" ], "tcb": [ "2018-06-08" ], "tcex": [ "2020-07-27" ], "tci": [ "2019-03-18" ], "tcr": [ "2019-09-24" ], "tdmq": [ "2020-02-17" ], "tem": [ "2021-07-01", "2020-12-21" ], "tia": [ "2018-02-26" ], "tic": [ "2020-11-17" ], "ticm": [ "2018-11-27" ], "tics": [ "2018-11-15" ], "tiems": [ "2019-04-16" ], "tiia": [ "2019-05-29" ], "tione": [ "2019-10-22" ], "tiw": [ "2019-09-19" ], "tke": [ "2018-05-25" ], "tkgdq": [ "2019-04-11" ], "tms": [ "2020-12-29", "2020-07-13" ], "tmt": [ "2018-03-21" ], "trtc": [ "2019-07-22" ], "tse": [ "2020-12-07" ], "tsf": [ "2018-03-26" ], "tsw": [ "2021-04-12", "2020-09-24" ], "tts": [ "2019-08-23" ], "ump": [ "2020-09-18" ], "vm": [ "2020-12-29", "2020-07-09" ], "vms": [ "2020-09-02" ], "vod": [ "2018-07-17" ], "vpc": [ "2017-03-12" ], "waf": [ "2018-01-25" ], "wav": [ "2021-01-29" ], "wss": [ "2018-04-26" ], "youmall": [ "2018-02-28" ], "yunjing": [ "2018-02-28" ], "yunsou": [ "2019-11-15", "2018-05-04" ], "zj": [ "2019-01-21" ] }

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null

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1

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null

0

2

dc256420565ff5137b20577f0eef257e2096fca7

3,096

py

Python

glue/python/HudiInitLoadNYTaxiData.py

bhavintandel/aws-glue-hudi-cdc

fe82b4ec9f50a8a2c2bd3243a4fc48dfb4f9194b

[ "MIT" ]

null

glue/python/HudiInitLoadNYTaxiData.py

bhavintandel/aws-glue-hudi-cdc

fe82b4ec9f50a8a2c2bd3243a4fc48dfb4f9194b

[ "MIT" ]

null

glue/python/HudiInitLoadNYTaxiData.py

bhavintandel/aws-glue-hudi-cdc

fe82b4ec9f50a8a2c2bd3243a4fc48dfb4f9194b

[ "MIT" ]

null

import sys from pyspark.context import SparkContext from pyspark.sql.session import SparkSession from awsglue.context import GlueContext from awsglue.job import Job from awsglue.dynamicframe import DynamicFrame from pyspark.sql.functions import col, to_timestamp, monotonically_increasing_id, to_date, when from awsglue.utils import getResolvedOptions from pyspark.sql.types import * from datetime import datetime args = getResolvedOptions(sys.argv, ['JOB_NAME','curated_bucket']) spark = SparkSession.builder.config('spark.serializer','org.apache.spark.serializer.KryoSerializer').config('spark.sql.hive.convertMetastoreParquet','false').getOrCreate() sc = spark.sparkContext glueContext = GlueContext(sc) job = Job(glueContext) job.init(args['JOB_NAME'], args) yellow_tripdata_schema = StructType([ StructField("vendorid",IntegerType(),True), StructField("tpep_pickup_datetime",TimestampType(),True), StructField("tpep_dropoff_datetime",TimestampType(),True), StructField("passenger_count", IntegerType(), True), StructField("trip_distance", DoubleType(), True), StructField("ratecodeid", IntegerType(), True), StructField("store_and_fwd_flag", StringType(), True), StructField("pulocationid", IntegerType(), True), StructField("dolocationid", IntegerType(), True), StructField("payment_type", IntegerType(), True), StructField("fare_amount", DoubleType(), True), StructField("extra", DoubleType(), True), StructField("mta_tax", DoubleType(), True), StructField("tip_amount", DoubleType(), True), StructField("tolls_amount", DoubleType(), True), StructField("improvement_surcharge", DoubleType(), True), StructField("total_amount", DoubleType(), True), StructField("congestion_surcharge", DoubleType(), True), StructField("pk_col", LongType(), True)]) inputDf = spark.read.schema(yellow_tripdata_schema).option("header", "true").csv("s3://nyc-tlc/trip data/yellow_tripdata_{2018,2019,2020}*.csv").withColumn("pk_col",monotonically_increasing_id() + 1) commonConfig = {'className' : 'org.apache.hudi', 'hoodie.datasource.hive_sync.use_jdbc':'false', 'hoodie.datasource.write.precombine.field': 'tpep_pickup_datetime', 'hoodie.datasource.write.recordkey.field': 'pk_col', 'hoodie.table.name': 'ny_yellow_trip_data', 'hoodie.consistency.check.enabled': 'true', 'hoodie.datasource.hive_sync.database': 'default', 'hoodie.datasource.hive_sync.table': 'ny_yellow_trip_data', 'hoodie.datasource.hive_sync.enable': 'true', 'path': 's3://' + args['curated_bucket'] + '/default/ny_yellow_trip_data'} unpartitionDataConfig = {'hoodie.datasource.hive_sync.partition_extractor_class': 'org.apache.hudi.hive.NonPartitionedExtractor', 'hoodie.datasource.write.keygenerator.class': 'org.apache.hudi.keygen.NonpartitionedKeyGenerator'} initLoadConfig = {'hoodie.bulkinsert.shuffle.parallelism': 68, 'hoodie.datasource.write.operation': 'bulk_insert'} combinedConf = {**commonConfig, **unpartitionDataConfig, **initLoadConfig} glueContext.write_dynamic_frame.from_options(frame = DynamicFrame.fromDF(inputDf, glueContext, "inputDf"), connection_type = "marketplace.spark", connection_options = combinedConf)

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dc2a7e5a9f05bb3e39315ef03bc85b79b991924e

1,792

py

Python

6.0001/ps0/helloworld.py

ramanakshay/MITOCW

4b6e30c2304e9a25586e12eaa105d09635c4476e

[ "CC-BY-4.0", "MIT" ]

3

2021-04-26T09:15:04.000Z

2022-02-23T10:28:35.000Z

6.0001/ps0/helloworld.py

ramanakshay/MITOCW

4b6e30c2304e9a25586e12eaa105d09635c4476e

[ "CC-BY-4.0", "MIT" ]

null

6.0001/ps0/helloworld.py

ramanakshay/MITOCW

4b6e30c2304e9a25586e12eaa105d09635c4476e

[ "CC-BY-4.0", "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Jul 20 09:42:33 2019 @author: aksha """ #printing examples #print("Hello World") # #print("The Lion King") #print ("was released in 1996") #print("by Disney.") # #print("4*8 is", 4*8) #print("2**2**2 is", 2**2**2) #print("1+2+3+4+5 is", 1+2+3+4+5) #input and variables #print("Halt!") #user_input = input("Who goes there? ") #print("You may pass,", user_input) # #a=123.4 #b1 = 'spam' #first_name = 'bill' #b = 432 #c = a+b #print('a+b =', c) #print('first name is', first_name) #print('Emails have a lot of', b1) #assignment #a = 1 #print(a) #a = a + 1 #print(a) #a = a*3 #print(a) #number = float(input("Type in a number: ")) #integer = int(input("Type in an integer: ")) #text = input("Type in a string: ") #print("Number is", number) #print("number is a", type(number)) #print("number*2 =", number*2) #print('integer is', integer) #print('it is a', type(integer)) #print('integer*2 =', integer*2) #print(text) #print(type(text)) #print(text*5) #F to C #fahr_temp = float(input("Fahranheit Temperature: ")) #celc_temp = (fahr_temp - 32)*(5/9) #print("Celcius Temperature: ", celc_temp) #math #weightkg = float(input('Enter weight in kilograms: ')) #stonemass = round(weightkg*2.2/14) #print('you weigh', stonemass,'stones. ') #variables #variablesareboxes = 1 #print(variablesareboxes) #variablesareboxes = 288 #print(variablesareboxes) #red = 10 #blue = 8 #print(red, blue) #red = blue #print(red, blue) #yellow = red + blue #print(yellow) #red = red+3 #print(yellow) #print(red) #stringsandvariables #question = "What did you have for breakfast?" #print(question) #answer = input() #print("nice. you had " + answer) #concatenation

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null

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dc3d3954443643a675f92d6039955453e5e5708f

356

py

Python

strongr/secretsdomain/handler/listsecretshandler.py

bigr-erasmusmc/StrongR

48573e170771a251f629f2d13dba7173f010a38c

[ "Apache-2.0" ]

null

strongr/secretsdomain/handler/listsecretshandler.py

bigr-erasmusmc/StrongR

48573e170771a251f629f2d13dba7173f010a38c

[ "Apache-2.0" ]

null

strongr/secretsdomain/handler/listsecretshandler.py

bigr-erasmusmc/StrongR

48573e170771a251f629f2d13dba7173f010a38c

[ "Apache-2.0" ]

null

import strongr.core.gateways from strongr.secretsdomain.model import Secret import itertools class ListSecretsHandler(): def __call__(self, query): session = strongr.core.gateways.Gateways.sqlalchemy_session() result = session.query(Secret.key).order_by(Secret.key).all() return list(itertools.chain.from_iterable(result))

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null

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null

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1

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0

2

dc4715c494e22dfca736cca8075c6e5f3be6f505

1,364

py

Python

src/oaipmh/tests/createdata_deleted_records.py

unt-libraries/pyoai

a8160d73ff3b5de20c9a5b358f9c555316245523

[ "BSD-3-Clause" ]

58

2015-02-06T17:54:33.000Z

2022-02-03T11:30:08.000Z

src/oaipmh/tests/createdata_deleted_records.py

unt-libraries/pyoai

a8160d73ff3b5de20c9a5b358f9c555316245523

[ "BSD-3-Clause" ]

40

2015-01-15T15:20:36.000Z

2022-03-09T09:12:09.000Z

src/oaipmh/tests/createdata_deleted_records.py

unt-libraries/pyoai

a8160d73ff3b5de20c9a5b358f9c555316245523

[ "BSD-3-Clause" ]

45

2015-02-08T14:14:54.000Z

2022-02-03T16:15:33.000Z

from fakeserver import FakeCreaterServerProxy # tied to the server at EUR.. server = FakeCreaterServerProxy( 'http://dspace.ubib.eur.nl/oai/', '/home/eric/CVS_checkouts/oai/tests/fake2') #deleted record print "GetRecord" header, metadata, about = server.getRecord( metadataPrefix='oai_dc', identifier='hdl:1765/1160') print "identifier:", header.identifier() print "datestamp:", header.datestamp() print "setSpec:", header.setSpec() print "isDeleted:", header.isDeleted() print #normal record print "GetRecord" header, metadata, about = server.getRecord( metadataPrefix='oai_dc', identifier='hdl:1765/1162') print "identifier:", header.identifier() print "datestamp:", header.datestamp() print "setSpec:", header.setSpec() print "isDeleted:", header.isDeleted() print print "ListRecords" for header, metadata, about in server.listRecords( from_=datetime(2004, 01, 01), until=datetime(2004, 02, 01), metadataPrefix='oai_dc'): print "header" print "identifier:", header.identifier() print "datestamp:", header.datestamp() print "setSpec:", header.setSpec() print "isDeleted:", header.isDeleted() print "metadata" if metadata is not None: for fieldname in metadata.getMap().keys(): print "%s:" % fieldname, metadata.getField(fieldname) print "about" print about print server.save()

29.652174

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null

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1

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2

dc475c60813e74e92a1e2d038ce43f9cf10f51dd

464

py

Python

Bioinformatics-Armory/src/Read_Quality_Distribution.py

crf1111/Bio-Informatics-Learning

2ccc02d7a23584c12aee44c5620160cdcaf70bd4

[ "MIT" ]

1

2018-10-10T19:03:52.000Z

Bioinformatics-Armory/src/Read_Quality_Distribution.py

crf1111/Bio-Informatics-Learning

2ccc02d7a23584c12aee44c5620160cdcaf70bd4

[ "MIT" ]

null

Bioinformatics-Armory/src/Read_Quality_Distribution.py

crf1111/Bio-Informatics-Learning

2ccc02d7a23584c12aee44c5620160cdcaf70bd4

[ "MIT" ]

null

from Bio import SeqIO avg = 21 def main(fname): records = list(SeqIO.parse(fname,'fastq')) num = 0 for record in records: vs = record.letter_annotations['phred_quality'] if sum(vs)/float(len(vs)) < avg: num += 1 print num # record = records[0] # print record.letter_annotations['phred_quality'] if __name__ == '__main__': import sys, os fname = os.path.join(os.getcwd(),sys.argv[-1]) main(fname)

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0

null

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0

null

0

1

0

2

dc49162e6a22e46043d1be7363c0e347e677374d

2,856

py

Python

synapse/util/debug.py

mweinelt/synapse

42a9ea37e4c6ff9d91b530c40d366446b9fc2234

[ "Apache-2.0" ]

1

2017-02-03T18:58:29.000Z

synapse/util/debug.py

mweinelt/synapse

42a9ea37e4c6ff9d91b530c40d366446b9fc2234

[ "Apache-2.0" ]

null

synapse/util/debug.py

mweinelt/synapse

42a9ea37e4c6ff9d91b530c40d366446b9fc2234

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2015, 2016 OpenMarket Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from twisted.internet import defer, reactor from functools import wraps from synapse.util.logcontext import LoggingContext, PreserveLoggingContext def debug_deferreds(): """Cause all deferreds to wait for a reactor tick before running their callbacks. This increases the chance of getting a stack trace out of a defer.inlineCallback since the code waiting on the deferred will get a chance to add an errback before the deferred runs.""" # Helper method for retrieving and restoring the current logging context # around a callback. def with_logging_context(fn): context = LoggingContext.current_context() def restore_context_callback(x): with PreserveLoggingContext(context): return fn(x) return restore_context_callback # We are going to modify the __init__ method of defer.Deferred so we # need to get a copy of the old method so we can still call it. old__init__ = defer.Deferred.__init__ # We need to create a deferred to bounce the callbacks through the reactor # but we don't want to add a callback when we create that deferred so we # we create a new type of deferred that uses the old __init__ method. # This is safe as long as the old __init__ method doesn't invoke an # __init__ using super. class Bouncer(defer.Deferred): __init__ = old__init__ # We'll add this as a callback to all Deferreds. Twisted will wait until # the bouncer deferred resolves before calling the callbacks of the # original deferred. def bounce_callback(x): bouncer = Bouncer() reactor.callLater(0, with_logging_context(bouncer.callback), x) return bouncer # We'll add this as an errback to all Deferreds. Twisted will wait until # the bouncer deferred resolves before calling the errbacks of the # original deferred. def bounce_errback(x): bouncer = Bouncer() reactor.callLater(0, with_logging_context(bouncer.errback), x) return bouncer @wraps(old__init__) def new__init__(self, *args, **kargs): old__init__(self, *args, **kargs) self.addCallbacks(bounce_callback, bounce_errback) defer.Deferred.__init__ = new__init__

39.666667

78

0.721989

407

2,856

4.899263

0.400491

0.03009

0.027081

0.016048

0.17653

0.16349

0.1334

0

0.006726

0.219188

2,856

71

79

40.225352

0.887444

0.585084

0

0.153846

0

1

0.230769

false

0

0.115385

0

0.576923

0

null

0

null

0

1

0

1

0

2

dc4edcd32b38488ad3df20ac8d2685f6b5dcb947

474

py

Python

src/genie/libs/parser/junos/tests/ShowOspfInterfaceBrief/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/junos/tests/ShowOspfInterfaceBrief/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/junos/tests/ShowOspfInterfaceBrief/cli/equal/golden_output_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "instance": { "master": { "areas": { "0.0.0.1": { "interfaces": { "ge-0/0/2.0": { "state": "BDR", "dr_id": "10.16.2.2", "bdr_id": "10.64.4.4", "nbrs_count": 5, } } } } } } }

24.947368

50

0.202532

32

474

2.875

0.65625

0.065217

0

0.128049

0.654008

474

18

51

26.333333

0.432927

0

0.196203

0

1

0

false

0

null

0

1

0

1

0

null

0

2

dc5faf9776d8e685857ee4d038850a2f228ca354

2,959

py

Python

raven/utils/serializer/base.py

alex/raven

28227282891d7eb7e3600a458d0d8c7164f63dcb

[ "BSD-3-Clause" ]

1

2015-11-08T12:45:40.000Z

raven/utils/serializer/base.py

alex/raven

28227282891d7eb7e3600a458d0d8c7164f63dcb

[ "BSD-3-Clause" ]

null

raven/utils/serializer/base.py

alex/raven

28227282891d7eb7e3600a458d0d8c7164f63dcb

[ "BSD-3-Clause" ]

null

""" raven.utils.serializer.base ~~~~~~~~~~~~~~~~~~~~~~~~~~~ :copyright: (c) 2010 by the Sentry Team, see AUTHORS for more details. :license: BSD, see LICENSE for more details. """ from raven.utils.encoding import to_string, to_unicode from raven.utils.serializer.manager import register from types import ClassType, TypeType from uuid import UUID def has_sentry_metadata(value): try: return callable(value.__getattribute__('__sentry__')) except: return False class Serializer(object): types = () def __init__(self, manager): self.manager = manager def can(self, value): """ Given ``value``, return a boolean describing whether this serializer can operate on the given type """ return isinstance(value, self.types) def serialize(self, value): """ Given ``value``, coerce into a JSON-safe type. """ return value def recurse(self, value): """ Given ``value``, recurse (using the parent serializer) to handle coercing of newly defined values. """ return self.manager.transform(value) @register class IterableSerializer(Serializer): types = (tuple, list, set, frozenset) def serialize(self, value): try: return type(value)(self.recurse(o) for o in value) except Exception: # We may be dealing with something like a namedtuple class value_type(list): __name__ = type(value).__name__ return value_type(self.recurse(o) for o in value) @register class UUIDSerializer(Serializer): types = (UUID,) def serialize(self, value): return repr(value) @register class DictSerializer(Serializer): types = (dict,) def serialize(self, value): return dict((to_string(k), self.recurse(v)) for k, v in value.iteritems()) @register class UnicodeSerializer(Serializer): types = (unicode,) def serialize(self, value): return to_unicode(value) @register class StringSerializer(Serializer): types = (str,) def serialize(self, value): return to_string(value) @register class TypeSerializer(Serializer): types = (ClassType, TypeType,) def can(self, value): return not super(TypeSerializer, self).can(value) and has_sentry_metadata(value) def serialize(self, value): return self.recurse(value.__sentry__()) @register class BooleanSerializer(Serializer): types = (bool,) def serialize(self, value): return bool(value) @register class FloatSerializer(Serializer): types = (float,) def serialize(self, value): return float(value) @register class IntegerSerializer(Serializer): types = (int,) def serialize(self, value): return int(value) @register class LongSerializer(Serializer): types = (long,) def serialize(self, value): return long(value)

21.757353

88

0.64515

336

2,959

5.577381

0.324405

0.067236

0.093917

0.123266

0.15635

0.055496

0.024546

0

0.00179

0.244677

2,959

135

89

21.918519

0.836689

0.158499

0

0.328947

0

0.004172

0

1

0.210526

false

0

0.052632

0.131579

0.789474

0

null

0

null

0

1

0

1

0

2

dc66d84e1bf16da4de12b75a38558fd627c4ead0

192

py

Python

PyCharm/Aulas/Aula10.py

gabrieldtc/CursoEmVideoPython

01a2540bb3754c1182837cef52bbf59541e6e845

[ "MIT" ]

null

PyCharm/Aulas/Aula10.py

gabrieldtc/CursoEmVideoPython

01a2540bb3754c1182837cef52bbf59541e6e845

[ "MIT" ]

null

PyCharm/Aulas/Aula10.py

gabrieldtc/CursoEmVideoPython

01a2540bb3754c1182837cef52bbf59541e6e845

[ "MIT" ]

null

nome = str(input('Qual é o seu nome? ')).strip().upper() if nome == 'GABRIEL': print('Que lindo nome você tem!') else: print('Seu nome é tão normal!') print('Bom dia, {}'.format(nome))

32

56

0.619792

31

192

3.83871

0.709677

0.117647

0

0.171875

192

6

57

32

0.748428

0

0.430052

0

1

0

false

0

0.5

0

null

0

1

0

null

0

1

0

2

dc6c1da4d4280d16c5d6cf72dbcc85984b19b939

660

py

Python

assets/views.py

continual-delivery/stratahq

64d9f42fc4298f6d0854441f0e514ecb042bfd9d

[ "Unlicense" ]

1

2018-12-05T00:13:49.000Z

assets/views.py

continual-delivery/stratahq

64d9f42fc4298f6d0854441f0e514ecb042bfd9d

[ "Unlicense" ]

null

assets/views.py

continual-delivery/stratahq

64d9f42fc4298f6d0854441f0e514ecb042bfd9d

[ "Unlicense" ]

null

from django.shortcuts import get_object_or_404, render from django.http import HttpResponse from django.views import generic from django.contrib.auth.mixins import LoginRequiredMixin from management.models import Customer, Environment, CustomerEnvironment from assets.models import TaskHistory, Server, Application class IndexView(LoginRequiredMixin, generic.ListView): login_url = '/login' redirect_field_name = 'next' template_name = 'home/index.html' context_object_name = 'latest_task_list' def get_queryset(self): """Return the last five published questions.""" return TaskHistory.objects.order_by('-start_time')[:5]

38.823529

72

0.780303

81

660

6.185185

0.716049

0.07984

0

0.007042

0.139394

660

17

73

38.823529

0.875

0.062121

0

0.084691

0

1

0.076923

false

0

0.461538

0

1

0

null

0

null

0

1

0

1

0

2

dc6d99d2b7168731ff2c1981f4a5025f54380833

30,636

py

Python

qccalculator/qcplots.py

bigbio/qccalculator

40b8637caacac774b963f2d1f81f838880581a58

[ "Apache-2.0" ]

1

2022-01-11T19:40:44.000Z

qccalculator/qcplots.py

bigbio/qccalculator

40b8637caacac774b963f2d1f81f838880581a58

[ "Apache-2.0" ]

1

2020-10-05T14:52:25.000Z

qccalculator/qcplots.py

bigbio/qccalculator

40b8637caacac774b963f2d1f81f838880581a58

[ "Apache-2.0" ]

2

2020-06-01T22:00:39.000Z

2021-04-24T08:57:21.000Z

# import math, datetime # import tempfile # import base64 # import re # import numpy as np # from enum import Enum # import os # from statistics import mean, median, stdev # from typing import List, Dict, Set, Any, Optional, Callable # import pyopenms as oms # from collections import defaultdict # import itertools # # class PlotType(Enum): # PNG = 1 # SVG = 2 # PLOTLY = 3 # # def handle_plot_format(pp, plot_type: PlotType, hosturl="http://localhost", port=5000): # if plot_type == PlotType.PLOTLY: # plotly = importr('plotly') # ppp = plotly.ggplotly(pp) # htmlwidgets = importr('htmlwidgets') # serverstructure_library_destination = "lib" # with tempfile.NamedTemporaryFile() as t: # htmlwidgets.saveWidget(ppp, t.name, libdir="replaceme", selfcontained = False) # # start stupid fix to get all the recent libs written in the flask lib directory # htmlwidgets.saveWidget(ppp, 'bof', libdir=serverstructure_library_destination, selfcontained = False) # os.remove('bof') # # end stupid fix # with open(t.name, "r") as f: # s = f.read() # s = s.replace("replaceme", "{h}{p}/{l}".format(h=hosturl, # l=serverstructure_library_destination, # p="" if port is None else ":"+str(port))) # return s # else: # with tempfile.NamedTemporaryFile() as t: # if plot_type == PlotType.SVG: # grdevices = importr('grDevices') # grdevices.svg(file=t.name) # pp.plot() # grdevices.dev_off() # # with open(t.name, "r") as f: # s = f.read() # else: # grdevices = importr('grDevices') # grdevices.png(file=t.name, width=512, height=512) # pp.plot() # grdevices.dev_off() # # with open(t.name, "rb") as fb: # s = base64.b64encode(fb.read()).decode() # return s # # def plot_TIC(tic_table, start_time, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d= {'RT': robjects.POSIXct((tuple([start_time + datetime.timedelta(seconds=i) for i in tic_table.value['RT']]))), # 'int': robjects.FloatVector(tuple(tic_table.value['int'])) } # dataf = robjects.DataFrame(d) # scales = importr('scales') # c0 = robjects.r('c(0,0)') # # lim_maj=int(max(tic_table.value['RT'])//(60*30)) # lim_min=int(max(tic_table.value['RT'])//(60*10))+1 # b_maj=robjects.POSIXct(tuple([start_time + datetime.timedelta(seconds=60*30* i) for i in range(0,lim_maj+1)])) # b_min=robjects.POSIXct(tuple([start_time + datetime.timedelta(seconds=60*10* i) for i in range(0,lim_min+1)])) # # axislabels = robjects.StrVector(tuple([(datetime.datetime.fromtimestamp(60*30* i)).strftime("%H:%M") for i in range(0,lim_maj+1)])) # # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_line() + \ # ggplot2.aes_string(x='RT', y='int') + \ # ggplot2.scale_x_datetime(breaks=b_maj, minor_breaks=b_min, labels = axislabels, expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Intensity", x="Time") + \ # ggplot2.ggtitle("TIC") # #does not work: date_minor_breaks=scales.date_breaks("5 minutes") # # scales.date_format("%H:%M") # # # ltb = robjects.r('theme(plot.margin = unit(c(.1,1,.1,.1), "cm"))') # # pp = pp + ltb # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_SN(table, mslevel=2, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d= {'SN': robjects.FloatVector(tuple(table.value['SN'])) } # dataf = robjects.DataFrame(d) # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # m = median(table.value['SN']) # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_histogram(binwidth=.5, colour="black", fill="white") + \ # ggplot2.aes_string(x='SN', y='..density..') + \ # ggplot2.geom_density(alpha=.1, fill="green") + \ # ggplot2.geom_vline(ggplot2.aes(xintercept='median(SN, na.rm=TRUE)'), color="red", linetype="dashed", size=1) + \ # ggplot2.geom_text(ggplot2.aes_string(x=str(m), y=rinf, label="'median={}'".format(str(round(m,2))) ), hjust="left", vjust="top") + \ # ggplot2.scale_x_continuous(expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(x="S/N") + \ # ggplot2.ggtitle("S/N distribution in MS{} spectra".format(str(mslevel))) # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_dppm(psm_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d= {'deltaPPM': robjects.FloatVector(tuple(psm_table.value['delta_ppm'])) } # dataf = robjects.DataFrame(d) # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # m = median(psm_table.value['delta_ppm']) # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_histogram(binwidth=.5, colour="black", fill="white") + \ # ggplot2.aes_string(x='deltaPPM', y='..density..') + \ # ggplot2.geom_density(alpha=.1, fill="green") + \ # ggplot2.geom_vline(ggplot2.aes(xintercept='median(deltaPPM, na.rm=TRUE)'), color="red", linetype="dashed", size=1) + \ # ggplot2.geom_text(ggplot2.aes_string(x=str(m), y=rinf, label="'median={}'".format(str(round(m,2))) ), hjust="left", vjust="top") + \ # ggplot2.scale_x_continuous(expand=c0, limit=c10) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(x=parse('paste(Delta, "ppm")'), y="Frequency density") + \ # ggplot2.ggtitle("Mass error distribution") # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_dppm_over_time(psm_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d= {'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in psm_table.value['RT']]))), # 'deltaPPM': robjects.FloatVector(tuple(psm_table.value['delta_ppm'])) } # dataf = robjects.DataFrame(d) # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # # b=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10)])) # lim_maj=int(max(psm_table.value['RT'])//(60*30)) # lim_min=int(max(psm_table.value['RT'])//(60*10))+1 # b_maj=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*30* i) for i in range(0,lim_maj+1)])) # b_min=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10* i) for i in range(0,lim_min+1)])) # # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # # # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_point(alpha=0.5) + \ # ggplot2.aes_string(x='RT',y='deltaPPM') + \ # ggplot2.scale_x_datetime(breaks=b_maj, minor_breaks=b_min, labels = scales.date_format("%H:%M"), expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.stat_smooth(colour="red", method="loess", span=0.2) + \ # ggplot2.geom_hline(yintercept=0, colour="blue") + \ # ggplot2.geom_hline(yintercept=stdev(psm_table.value['delta_ppm']) ,linetype="dotted", colour="green") + \ # ggplot2.geom_hline(yintercept=-stdev(psm_table.value['delta_ppm']) ,linetype="dotted", colour="green") + \ # ggplot2.labs(y=parse('paste(Delta, "ppm")'), x="Time") + \ # ggplot2.ggtitle(parse('paste(Delta, "ppm over time")')) # # return handle_plot_format(pp, plot_type, hosturl, port) # # # TODO needs cv refinement # def plot_scorecorrelatenoise(psm_table, prec_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # scrtyp = list(filter(lambda x: x!="RT" and x!="c", psm_table.value.keys()))[0] # mah! # # npa_psm = np.array([psm_table.value['RT'], # psm_table.value[scrtyp]]) # npa_psm = npa_psm[:,npa_psm[0].argsort()] # # npa_prc = np.array([prec_table.value['RT'], # prec_table.value['SN']]) # npa_prc = npa_prc[:,npa_prc[0].argsort()] # # # which of these are identified??? # idinter = np.intersect1d(np.around(npa_prc[0], decimals=4),np.around(npa_psm[0], decimals=4), assume_unique=True, return_indices=True) # rpy2.robjects.numpy2ri.activate() # dataf = robjects.DataFrame( {'SN': npa_prc[:,idinter[1]][1] , # 'score': npa_psm[:,idinter[2]][1] }) # # stats = importr('stats') # base = importr('base') # r2 = np.around(np.float(base.summary(stats.lm('SN~score^2', data=dataf))[7][0]), decimals=4) # 7 is r.squared, 8 is adj.r.squared - find out more with items() # # TODO check # c0 = robjects.r('c(0,0)') # pp = ggplot2.ggplot(dataf) + \ # ggplot2.aes_string(x='score', y='SN') + \ # ggplot2.geom_point() + \ # ggplot2.geom_smooth(method = "lm", formula = "y~poly(x,2)", se=False) + \ # ggplot2.scale_x_continuous(expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(x="score({})".format(scrtyp), y="S/N") + \ # ggplot2.ggtitle("ID score and noise correlation (quadratic R.squared={r2})".format(r2=r2)) # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_lengths(seq_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # regex_mod = r'($[^\(]*$)' # regex_noaa = r'([^A-Za-z])' # # TODO test this: '.(iTRAQ4plex)M(Oxidation)C(Carbamidomethyl)HNVNR' # d= {'PeptideSequence': robjects.StrVector(tuple(seq_table.value['peptide'])), # 'Length': robjects.IntVector(tuple([len(re.sub(regex_noaa, '', re.sub(regex_mod, '', x))) for x in seq_table.value['peptide']])) } # dataf = robjects.DataFrame(d) # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # m = mean(d['Length']) # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_histogram(binwidth=1, origin = -0.5, colour="black", fill="white") + \ # ggplot2.aes_string(x='Length') + \ # ggplot2.geom_vline(ggplot2.aes(xintercept='mean(Length, na.rm=TRUE)'), color="red", linetype="dashed", size=1) + \ # ggplot2.geom_text(ggplot2.aes_string(x=str(m), y=rinf, label="'mean={}'".format(str(round(m,2))) ), hjust="left", vjust="top") + \ # ggplot2.scale_x_continuous(expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Count") + \ # ggplot2.ggtitle("Length distribution of identified peptide sequences") # # parse('paste(Delta, "ppm")' does not work in ggplot2.ggtitle # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_topn(prec_table, surv_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # h = np.histogram(prec_table.value['RT'], bins=surv_table.value['RT']+[surv_table.value['RT'][-1]+surv_table.value['RT'][-2]]) # # d= {'SN': robjects.FloatVector(tuple(surv_table.value['SN'])), # 'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in surv_table.value['RT']]))), # 'TopN': robjects.IntVector(tuple(h[0])) } # dataf = robjects.DataFrame(d) # # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # m = median(d['TopN']) # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_histogram(binwidth=1, origin = -0.5, colour="black", fill="white") + \ # ggplot2.aes_string(x='TopN') + \ # ggplot2.geom_vline(ggplot2.aes(xintercept='median(TopN, na.rm=TRUE)'), color="red", linetype="dashed", size=1) + \ # ggplot2.geom_text(ggplot2.aes_string(x=str(m), y=rinf, label="'median={}'".format(str(round(m))) ), hjust="left", vjust="top") + \ # ggplot2.scale_x_continuous(breaks=scales.pretty_breaks(), expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Count") + \ # ggplot2.ggtitle("TopN sampling") # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_topn_sn(prec_table, surv_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # h = np.histogram(prec_table.value['RT'], bins=surv_table.value['RT']+[surv_table.value['RT'][-1]+surv_table.value['RT'][-2]]) # qs = np.quantile(surv_table.value['SN'], [.25,.5,.75]) # d= {'SN': robjects.FloatVector(tuple(surv_table.value['SN'])), # 'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in surv_table.value['RT']]))), # 'TopN': robjects.IntVector(tuple(h[0])), # 'SN.quartile': robjects.FactorVector((tuple( ['q1' if v < qs[0] else 'q2' if qs[0]<v<qs[1] else 'q3' if qs[1]<v<qs[2] else 'q4' for v in surv_table.value['SN']] )))} # dataf = robjects.DataFrame(d) # # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # m = median(d['TopN']) # pp = ggplot2.ggplot(dataf) + \ # ggplot2.aes_string(x='TopN', fill='SN.quartile') + \ # ggplot2.geom_histogram(binwidth=1, origin = -0.5) + \ # ggplot2.geom_vline(ggplot2.aes(xintercept='median(TopN, na.rm=TRUE)'), color="red", linetype="dashed", size=1) + \ # ggplot2.geom_text(ggplot2.aes_string(x=str(m), y=rinf, label="'median={}'".format(str(round(m))) ), hjust="left", vjust="top") + \ # ggplot2.scale_x_continuous(breaks=scales.pretty_breaks(), expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Count") + \ # ggplot2.ggtitle("TopN sampling") # # parse('paste(Delta, "ppm")' does not work in ggplot2.ggtitle # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_topn_rt(prec_table, surv_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # h = np.histogram(prec_table.value['RT'], bins=surv_table.value['RT']+[surv_table.value['RT'][-1]+surv_table.value['RT'][-2]]) # # d= {'SN': robjects.FloatVector(tuple(surv_table.value['SN'])), # 'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in surv_table.value['RT']]))), # 'TopN': robjects.IntVector(tuple(h[0])) } # dataf = robjects.DataFrame(d) # # b=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10)])) # lim_maj=int(max(surv_table.value['RT'])//(60*30)) # lim_min=int(max(surv_table.value['RT'])//(60*10))+1 # b_maj=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*30* i) for i in range(0,lim_maj+1)])) # b_min=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10* i) for i in range(0,lim_min+1)])) # # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_col(width = 1) + \ # ggplot2.aes_string(x='RT',y='TopN') + \ # ggplot2.scale_x_datetime(breaks=b_maj, minor_breaks=b_min, labels = scales.date_format("%H:%M"), expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Count", x="TopN sampling range") + \ # ggplot2.ggtitle("TopN utilisation") # # # # TODO also plot real histogram with color of SN or target/decoy? # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_idmap(prec_table, psm_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d_psm= {'MZ': robjects.FloatVector(tuple(psm_table.value['MZ'])), # 'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in psm_table.value['RT']]))), # 'col': robjects.FactorVector(tuple(["identified"]*len(psm_table.value['MZ']))) } # dataf_psm = robjects.DataFrame(d_psm) # # d_prc= {'MZ': robjects.FloatVector(tuple(prec_table.value['precursor_mz'])), # 'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in prec_table.value['RT']]))), # 'col': robjects.FactorVector(tuple(["recorded"]*len(prec_table.value['precursor_mz']))) } # dataf_prc = robjects.DataFrame(d_prc) # # b=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10)])) # lim_maj=int(max(prec_table.value['RT'])//(60*30)) # lim_min=int(max(prec_table.value['RT'])//(60*10))+1 # b_maj=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*30* i) for i in range(0,lim_maj+1)])) # b_min=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10* i) for i in range(0,lim_min+1)])) # # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # # pp = ggplot2.ggplot(dataf_prc) + \ # ggplot2.geom_point() + \ # ggplot2.aes_string(x='RT',y='MZ', colour='col') + \ # ggplot2.scale_x_datetime(breaks=b_maj, minor_breaks=b_min, labels = scales.date_format("%H:%M"), expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="m/z", x="Time") + \ # ggplot2.geom_point(data=dataf_psm) + \ # ggplot2.ggtitle("ID map") # # ltb = robjects.r('theme(legend.title=element_blank())') # pp = pp + ltb # # # TODO also plot real histogram with color of SN or target/decoy? # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_gravy(gravy_table, start_time, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d= {'RT': robjects.POSIXct((tuple([start_time + datetime.timedelta(seconds=i) for i in gravy_table.value['RT']]))), # 'gravy': robjects.FloatVector(tuple(gravy_table.value['gravy'])) } # dataf = robjects.DataFrame(d) # scales = importr('scales') # c0 = robjects.r('c(0,0)') # # lim_maj=int(max(gravy_table.value['RT'])//(60*30)) # lim_min=int(max(gravy_table.value['RT'])//(60*10))+1 # b_maj=robjects.POSIXct(tuple([start_time + datetime.timedelta(seconds=60*30* i) for i in range(0,lim_maj+1)])) # b_min=robjects.POSIXct(tuple([start_time + datetime.timedelta(seconds=60*10* i) for i in range(0,lim_min+1)])) # # axislabels = robjects.StrVector(tuple([(datetime.datetime.fromtimestamp(60*30* i)).strftime("%H:%M") for i in range(0,lim_maj+1)])) # # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_point(alpha=0.5) + \ # ggplot2.aes_string(x='RT', y='gravy') + \ # ggplot2.scale_x_datetime(breaks=b_maj, minor_breaks=b_min, labels = axislabels, expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="GRAVY", x="Time") + \ # ggplot2.ylim(robjects.r('c(-3,3)')) + \ # ggplot2.geom_line(y=0, colour="blue") + \ # ggplot2.stat_smooth(colour="red", method="loess", span=0.2) + \ # ggplot2.ggtitle("Hydropathy index (Kyte-Doolittle)") # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_charge(prec_table, psm_table=None, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d_prc= {'c': robjects.IntVector(tuple(prec_table.value['precursor_c'])), # 'col': robjects.FactorVector(tuple(["recorded"]*len(prec_table.value['precursor_c']))) } # dataf = robjects.DataFrame(d_prc) # # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_bar() + \ # ggplot2.aes_string(x='c',fill='col') + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.scale_x_continuous(breaks=scales.pretty_breaks(), expand=c0) + \ # ggplot2.labs(x="Charge state", y="Count") + \ # ggplot2.ggtitle("Charge states") + \ # robjects.r('theme(legend.title=element_blank())') # # # TODO N/A handling??? # # if psm_table: # d_prc= {'c': robjects.IntVector(tuple(psm_table.value['c'])), # 'col': robjects.FactorVector(tuple(["identified"]*len(psm_table.value['c']))) } # dataf_id = robjects.DataFrame(d_prc) # pp = pp + ggplot2.geom_bar(data=dataf_id) # # # TODO also plot real histogram with color of SN or target/decoy? # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_peaknum(table, mslevel=2, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d= {'peakcount': robjects.IntVector(tuple(table.value['peakcount']))} # dataf = robjects.DataFrame(d) # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # m = mean(d['peakcount']) # binw = round(m/15)+1 #+1 avoids 0 binwidth # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_histogram(binwidth=binw, origin = -0.5, colour="black", fill="white") + \ # ggplot2.aes_string(x='peakcount') + \ # ggplot2.geom_vline(ggplot2.aes(xintercept='mean(peakcount, na.rm=TRUE)'), color="red", linetype="dashed", size=1) + \ # ggplot2.geom_text(ggplot2.aes_string(x=str(m), y=rinf, label="'mean={}'".format(str(round(m,2))) ), hjust="left", vjust="top") + \ # ggplot2.scale_x_continuous(expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Count") + \ # ggplot2.ggtitle("Peak count distribution for MS{} spectra".format(str(mslevel))) # # return handle_plot_format(pp, plot_type, hosturl, port) # # # TODO unfinished # def plot_intensities(table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # grdevices = importr('grDevices') # d= {'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in table.value['RT']]))), # 'int': robjects.FloatVector(tuple(table.value['int']))} # dataf = robjects.DataFrame(d) # scales = importr('scales') # cow = importr('cowplot') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # combiaxis1 = robjects.r('theme(axis.text.x = element_blank(), axis.ticks.x = element_blank(), plot.margin=unit(c(1,1,-0.1,1), "cm"))') # combiaxis2 = robjects.r('theme(axis.text.y = element_blank(), axis.ticks = element_blank(), plot.margin=unit(c(-0.1,1,1,1), "cm"))') # # ht = ggplot2.ggplot(dataf) + \ # ggplot2.geom_histogram(bins=100) + \ # ggplot2.aes_string(x='int') + \ # combiaxis1 + \ # ggplot2.labs(y="Count", x= robjects.r('element_blank()') ) + \ # ggplot2.ggtitle("Intensity distribution") # # bx = ggplot2.ggplot(dataf) + \ # ggplot2.geom_boxplot() + \ # ggplot2.aes_string(x=1, y='int') + \ # ggplot2.coord_flip() + \ # combiaxis2 + \ # ggplot2.labs(x="", y="Intensities") # # # pracma = importr('pracma') # # AUC <- trapz(QCTIC$MS.1000894_.sec.,QCTIC$MS.1000285) # # auc = np.trapz(table.value['int'], x=table.value['RT']) # # # Qs <- quantile(QCTIC$MS.1000285,prob = c(0.25, 0.5, 0.75)) # # Qs <- data.frame(Qs) # # qs = np.quantile(table.value['int'], [.25,.5,.75]) # # pp = cow.plot_grid(ht,bx, ncol = 1, align = 'v', axis = 'l', rel_heights = robjects.r('c(1,.25)')) # # # grdevices.png(file="tests/grid_png_func.png", width=512, height=512) # # c = cow.plot_grid(ht,bx, ncol = 1, align = 'v', axis = 'l', rel_heights = robjects.r('c(1,.25)')) # # c.plot() # # grdevices.dev_off() # # return handle_plot_format(pp, plot_type, hosturl, port) # # # TODO unfinished # def plot_events(tic_table, surv_table, prec_table, psm_table=None, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # datasources = [("Chromatogram", tic_table),("MS1",surv_table),("MS2", prec_table)] # if psm_table: # datasources.append(("Identifications",psm_table)) # # dataf = robjects.DataFrame({}) # for annot, tab in datasources: # if annot == "Chromatogram": # #quartiles of total intensity recorded # tic = np.sum(tab.value['int']) # vec = (np.cumsum(tab.value['int'])/tic) # qs = [.25,.5,.75] # else: # vec = [i[0]+1 for i in enumerate(tab.value['RT'])] # qs = np.quantile(vec, [.25,.5,.75]) # # d_c= {'Time': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in tab.value['RT']]))), # 'Quartile': robjects.FactorVector((tuple( ['q1' if v < qs[0] else 'q2' if qs[0]<v<qs[1] else 'q3' if qs[1]<v<qs[2] else 'q4' for v in vec] ))) # } # td = (DataFrame(d_c). # group_by('Quartile'). # summarize(n='n()', mx='max(Time)', mi='min(Time)'). # mutate(group="'"+annot+"'", dt='hms::as.hms(mx-mi)') ) # dataf = dataf.rbind(td) # # dataf = ( DataFrame(dataf).arrange('Quartile') ) # scales = importr('scales') # chron = importr('chron') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # # # TODO time axis fix and Hz annotations # b=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10)])) # lim_maj=int(max(tic_table.value['RT'])//(60*30)) # lim_min=int(max(tic_table.value['RT'])//(60*10))+1 # b_maj=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*30* i) for i in range(0,lim_maj+1)])) # b_min=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10* i) for i in range(0,lim_min+1)])) # # # TODO shitty time scale still does not work with stacked bars # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_bar(stat='identity', position = ggplot2.position_fill(reverse = True)) + \ # ggplot2.aes_string(x='group',y='mx',fill='Quartile') + \ # ggplot2.coord_flip() + \ # chron.scale_y_chron(format ="%H:%M:%S") + \ # ggplot2.labs(x="Events", y="Time") + \ # ggplot2.ggtitle("Quartiles of Chromatographic, MS1, MS2, and identification events over RT") # # dataf.to_csvfile('tests/events.csv') # return handle_plot_format(pp, plot_type, hosturl, port) # # ggplot2.scale_y_datetime(breaks=b_maj, minor_breaks=b_min,labels = scales.date_format("%H:%M"), expand=c0) + \ # # def plot_targetdecoy(peptideids: List[oms.PeptideIdentification], plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # rid: Dict[int,Any] = defaultdict(lambda: defaultdict(int)) # # for idspec in peptideids: # for rank,psm in enumerate(idspec.getHits()): # rid[rank+1][psm.getMetaValue('target_decoy').decode()] += 1 # # # TODO beware no decoy in test data # # scales = importr('scales') # c0 = robjects.r('c(0,0)') # # transposed_rid = list(zip(*[(list(itertools.chain(*sorted(x[1].items()))))+[x[0]] for x in rid.items()])) # d= {'type': robjects.StrVector(transposed_rid[0]), # 'count': robjects.IntVector(transposed_rid[1]) , # 'rank': robjects.IntVector(transposed_rid[2]) } # dataf = robjects.DataFrame(d) # pp = ggplot2.ggplot(dataf) + \ # ggplot2.aes_string(fill='type', y='count', x='rank') + \ # ggplot2.geom_bar(position='dodge', stat='identity') + \ # ggplot2.scale_x_continuous(breaks=scales.pretty_breaks(max(transposed_rid[2]))) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Count", x='Rank') + \ # ggplot2.ggtitle("Target/Decoy") # # # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_coverage(coverage_table, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d = {'Accession': robjects.StrVector(tuple(coverage_table['Accession'])), # 'Coverage': robjects.FloatVector(tuple(coverage_table['Coverage'])), # 'TD': robjects.FactorVector(tuple(coverage_table['TD'])), # 'Length': robjects.FloatVector(tuple(coverage_table['Length']))} # dataf = robjects.DataFrame(d) # c0 = robjects.r('c(0,0)') # pp = ggplot2.ggplot(dataf) + \ # ggplot2.aes_string(y='Coverage', x='Length', text='Accession', color='TD') + \ # ggplot2.geom_point() + \ # ggplot2.scale_x_continuous(expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.labs(y="Coverage", x='Protein length') + \ # ggplot2.ggtitle("Protein DB Coverage") # # # with open("tests/plotly_test/deleteme.html","w") as f: # # f.write(qcplots.handle_plot_format(pp, qcplots.PlotType.PLOTLY,hosturl="",port="")) # return handle_plot_format(pp, plot_type, hosturl, port) # # def plot_traptime(table, mslevel=2, plot_type=PlotType.PNG, hosturl="http://localhost", port=5000): # d= {'ioninjectiontime': robjects.FloatVector(tuple(table.value['iontraptime'])), # 'RT': robjects.POSIXct((tuple([datetime.datetime.fromtimestamp(i) for i in table.value['RT']]))) } # dataf = robjects.DataFrame(d) # # m = mean(table.value['iontraptime']) # # b=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10)])) # lim_maj=int(max(table.value['RT'])//(60*30)) # lim_min=int(max(table.value['RT'])//(60*10))+1 # b_maj=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*30* i) for i in range(0,lim_maj+1)])) # b_min=robjects.POSIXct(tuple([datetime.datetime.fromtimestamp(60*10* i) for i in range(0,lim_min+1)])) # # scales = importr('scales') # rinf = robjects.r('Inf') # c0 = robjects.r('c(0,0)') # c10 = robjects.r('c(-10,10)') # lt = robjects.r("as.POSIXct('{}', tz = '')".format(str(datetime.datetime.fromtimestamp(table.value['RT'][ len(table.value['RT'])//2 ])))) # # pp = ggplot2.ggplot(dataf) + \ # ggplot2.geom_line() + \ # ggplot2.aes_string(x='RT',y='ioninjectiontime') + \ # ggplot2.scale_x_datetime(breaks=b_maj, minor_breaks=b_min, labels = scales.date_format("%H:%M"), expand=c0) + \ # ggplot2.scale_y_continuous(expand=c0) + \ # ggplot2.stat_smooth(colour="red", method="loess", span=0.2) + \ # ggplot2.labs(y="Ion injection time", x="Time") + \ # ggplot2.geom_text(ggplot2.aes_string(x=lt, y=rinf, label="'mean={}'".format(str(round(m,2))) ), hjust="left", vjust="top") + \ # ggplot2.ggtitle("Ion injection time over RT") # # return handle_plot_format(pp, plot_type, hosturl, port)

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dc9aa560f4da61f8d0128a006844e3fa51e8e950

466

py

Python

organizations/views.py

tarequeh/django-modularblog

08b111fd12ab102d16224569e8064c6e6c76cd89

[ "MIT" ]

null

organizations/views.py

tarequeh/django-modularblog

08b111fd12ab102d16224569e8064c6e6c76cd89

[ "MIT" ]

null

organizations/views.py

tarequeh/django-modularblog

08b111fd12ab102d16224569e8064c6e6c76cd89

[ "MIT" ]

1

2021-02-05T18:49:27.000Z

from rest_framework import viewsets from organizations.models import Organization from organizations.permissions import OrgPermissions from organizations.serializers import OrgSerializer class OrgViewSet(viewsets.ModelViewSet): """ API endpoints for Organizations """ http_method_names = ['options', 'head', 'get', 'patch'] queryset = Organization.objects.all() permission_classes = (OrgPermissions,) serializer_class = OrgSerializer

27.411765

59

0.76824

45

466

7.844444

0.688889

0.144476

0

0.152361

466

16

60

29.125

0.893671

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0.045346

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false

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null

0

null

0

1

0

1

0

2

dc9b687754219df96a73d5c05f99287d7a3dcefa

3,006

py

Python

test/tumblr_post_extractor.py

imsesaok/tumbl-down

2faba20b58778e4f40344ff199f067b0914aa28c

[ "BSD-3-Clause" ]

null

test/tumblr_post_extractor.py

imsesaok/tumbl-down

2faba20b58778e4f40344ff199f067b0914aa28c

[ "BSD-3-Clause" ]

1

2022-03-29T01:24:36.000Z

test/tumblr_post_extractor.py

cherryband/tumbl-down

2faba20b58778e4f40344ff199f067b0914aa28c

[ "BSD-3-Clause" ]

null

#!/usr/bin/python import unittest import extractor.tumblr_post as extractor class TumblrPostTestCase(unittest.TestCase): # noinspection SpellCheckingInspection def test_extract_tumblr_image_links(self): # test single image self.assertEqual(extractor.extract_tumblr_images("kiminukii", '656015203710976000'), [ "https://64.media.tumblr.com/656c1b0e9008c5daa813c1530c7b4610/f994f9125257a26d-3f/s2048x3072/4a9f313d9f73f21bcc53facda98ad2fb681530c2.jpg"]) # test multiple images self.assertEqual( extractor.extract_tumblr_images("zandraart", '662604327475707904'), [ "https://64.media.tumblr.com/7ce02d1c06accb2db65ffae410592807/b718ff429b370a25-d4/s640x960/dff9bb177424a46c598be9768abf6d7ace8276af.png", "https://64.media.tumblr.com/8173aec87f24dad743c8607721c5fe06/b718ff429b370a25-c4/s640x960/f64312a68a8f8999dc3efad84b7777f8f62db00a.png", "https://64.media.tumblr.com/c95be592fed81a52e597f524930207f8/b718ff429b370a25-36/s640x960/189ff2d22791c6110e2d2bbf9c0c8f5338b3a786.png"]) self.assertEqual( extractor.extract_tumblr_images("kittenwitchandthebadvibes", '661792902683525120'), [ "https://64.media.tumblr.com/c1500c8ad3c53c8dd3768b70bed09134/ccffdfdc14aead67-2f/s1280x1920/1837f31750522ceaed01f0b6679fc71492de6afe.gifv", "https://64.media.tumblr.com/0b3958305e93b69bd446fa5ad8c6f4b2/ccffdfdc14aead67-f6/s1280x1920/e0e346f72539cf303e9ea3a7cb8e2185ace9c2f3.gifv", "https://64.media.tumblr.com/b8a53976248ae44c1a595ffacbbe483d/ccffdfdc14aead67-e4/s1280x1920/53b3a4f0e34550b07dd0da44e2f25caa1ad18612.gifv"]) # test single image without viewer self.assertEqual( extractor.extract_tumblr_images("maruti-bitamin", '663149423546777600'), [ "https://64.media.tumblr.com/bdf1a1b5dd22c7bb961452c86994e9bb/f4a9103f1a6f2e3c-6c/s1280x1920/3319e9b6809c8f9d7d56d3da49951762d0e70e54.jpg"]) # test video self.assertEqual(extractor.extract_tumblr_images("simonalkenmayer", '664168073150988288'), []) # test post without media self.assertEqual(extractor.extract_tumblr_images("stuckwith-harry", '640948223894290432'), []) # test tumblr post with custom domain self.assertEqual( extractor.extract_tumblr_images("dailyskyfox", '656342309663801344'), [ "https://64.media.tumblr.com/6f508a4fc1a07ca20cdf786b730c982d/61ae23b5425caadf-52/s2048x3072/cf2cbfec7d5323d1cbd345eeb442d70eeed8c5d9.png"]) # test invalid blog and post id with self.assertRaises(ValueError): extractor.extract_tumblr_images("temmiechang", 'temmiechang') with self.assertRaises(ValueError): extractor.extract_tumblr_images("I am a teapot.", '346409543733251134')

56.716981

169

0.711577

233

3,006

9.081545

0.429185

0.061437

0.093573

0.119093

0.293006

0.243384

0.05482

0

0.291097

0.196607

3,006

53

170

56.716981

0.585093

0.075183

0

0.228571

0

0.257143

0.540765

0.009019

0

0.257143

1

0.028571

false

0

0.057143

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null

0

1

0

1

0

null

0

2

dc9cb878c2c40ddd0c9b5c031b4df49295f39d5a

1,019

py

Python

twitoff/models.py

ik-okoro/Twitoff-20

0a3484298e55bbdb1e9dc2e336360d0c1a52cb82

[ "MIT" ]

null

twitoff/models.py

ik-okoro/Twitoff-20

0a3484298e55bbdb1e9dc2e336360d0c1a52cb82

[ "MIT" ]

null

twitoff/models.py

ik-okoro/Twitoff-20

0a3484298e55bbdb1e9dc2e336360d0c1a52cb82

[ "MIT" ]

null

""" SQLAlchemy models and utility functions for Twitoff Application """ from flask_sqlalchemy import SQLAlchemy DB = SQLAlchemy() class User(DB.Model): """ Twitter User Table that will correspond to tweets - SQLAlchemy syntax """ id= DB.Column(DB.BigInteger, primary_key = True) # id column (primary key) name = DB.Column(DB.String, nullable = False) newest_tweet_id = DB.Column(DB.BigInteger) # keeps track of recent tweet def __repr__(self): return "<User: {}>".format(self.name) class Tweet(DB.Model): """ Tweet text data - associated with Users Table """ id = DB.Column(DB.BigInteger, primary_key = True) # id column (primary key) text = DB.Column(DB.Unicode(300)) vect = DB.Column(DB.PickleType, nullable = False) user_id = DB.Column(DB.BigInteger, DB.ForeignKey("user.id"), nullable = False) user = DB.relationship("User", backref = DB.backref("tweets", lazy = True)) def __repr__(self): return "<Tweet: {}>".format(self.text)

32.870968

82

0.670265

134

1,019

4.992537

0.425373

0.083707

0.104634

0.071749

0.227205

0.161435

0

0.003667

0.197252

1,019

31

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0.814181

0.251227

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false

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0.0625

0.125

0.9375

0

null

0

null

0

1

0

2

dcac9a4ad8e38debabf3f0ddbfff75cd5f32b0df

280

py

Python

generic_views/display_views/views.py

markbirds/Django-Code-Repo

b55762d2dab00640acf2e8e00ddc66716d53c6b5

[ "MIT" ]

1

2021-11-25T00:02:36.000Z

generic_views/display_views/views.py

markbirds/Django-Code-Repo

b55762d2dab00640acf2e8e00ddc66716d53c6b5

[ "MIT" ]

null

generic_views/display_views/views.py

markbirds/Django-Code-Repo

b55762d2dab00640acf2e8e00ddc66716d53c6b5

[ "MIT" ]

null

from django.shortcuts import render from django.views.generic import ListView, DetailView from .models import DisplayViewModel # Create your views here. class UserListView(ListView): model = DisplayViewModel class DetailListView(DetailView): model = DisplayViewModel

20

53

0.8

30

280

7.466667

0.6

0.089286

0

0.146429

280

13

54

21.538462

0.937238

0.082143

0

0.285714

0

1

0

false

0

0.428571

0

1

0

null

0

null

0

1

0

1

0

2

dcb6ba4f5c7eea84b4921e229dd0a17704f4c997

150

py

Python

class/lect/Lect-18/tf2.py

MikenzieAlasca/F21-1010

a7c15b8d9bf84f316aa6921f6d8a588c513a22b8

[ "MIT" ]

5

2021-09-09T21:08:14.000Z

2021-12-14T02:30:52.000Z

class/lect/Lect-18/tf2.py

MikenzieAlasca/F21-1010

a7c15b8d9bf84f316aa6921f6d8a588c513a22b8

[ "MIT" ]

null

class/lect/Lect-18/tf2.py

MikenzieAlasca/F21-1010

a7c15b8d9bf84f316aa6921f6d8a588c513a22b8

[ "MIT" ]

8

2021-09-09T17:46:07.000Z

2022-02-08T22:41:35.000Z

import tensorflow as tf c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]]) b = tf.math.segment_sum(c, tf.constant([0, 0, 1])) print(c) print(b)

18.75

54

0.58

34

150

2.529412

0.588235

0.069767

0.255814

0.093023

0

0.114504

0.126667

150

7

55

21.428571

0.541985

0

1

0

false

0

0.2

0

0.2

0.4

0

null

0

1

0

1

0

null

0

2

f4a3db561fb8835ed7cbd5dfe1d0b107dfb2d96f

256

py

Python

tql/utils/__init__.py

Jie-Yuan/1_DataMining

f5338388b4f883233f350d4fb9c5903180883430

[ "Apache-2.0" ]

14

2019-06-25T13:46:32.000Z

2020-10-27T02:04:59.000Z

tql/utils/__init__.py

Jie-Yuan/2_DataMining

f5338388b4f883233f350d4fb9c5903180883430

[ "Apache-2.0" ]

null

tql/utils/__init__.py

Jie-Yuan/2_DataMining

f5338388b4f883233f350d4fb9c5903180883430

[ "Apache-2.0" ]

7

2019-06-25T13:26:16.000Z

2020-10-27T02:05:03.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ __title__ = '__init__.py' __author__ = 'JieYuan' __mtime__ = '18-12-17' """ from .string import cprint, cstring group_by_step = lambda ls, step=3: [ls[idx: idx + step] for idx in range(0, len(ls), step)]

21.333333

91

0.648438

40

256

3.7

0.825

0.081081

0

0.041667

0.15625

256

11

92

23.272727

0.643519

0.445313

0

1

0

false

0

0.5

0

0.5

0

null

0

null

0

1

0

1

0

2

f4a7a85ae626d9f02c82466e4ce1b8012dbc35f2

6,100

py

Python

frameworks/compile/slang/tests/test.py

touxiong88/92_mediatek

5e96a7bb778fd9d9b335825584664e0c8b5ff2c7

[ "Apache-2.0" ]

1

2022-01-07T01:53:19.000Z

frameworks/compile/slang/tests/test.py

touxiong88/92_mediatek

5e96a7bb778fd9d9b335825584664e0c8b5ff2c7

[ "Apache-2.0" ]

null

frameworks/compile/slang/tests/test.py

touxiong88/92_mediatek

5e96a7bb778fd9d9b335825584664e0c8b5ff2c7

[ "Apache-2.0" ]

1

2020-02-28T02:48:42.000Z

#!/usr/bin/python2.4 # # Copyright 2010-2012 Google Inc. All Rights Reserved. """Renderscript Compiler Test. Runs subdirectories of tests for the Renderscript compiler. """ import filecmp import glob import os import re import shutil import subprocess import sys __author__ = 'Android' class Options(object): def __init__(self): return verbose = 0 cleanup = 1 updateCTS = 0 def CompareFiles(actual, expect): """Compares actual and expect for equality.""" if not os.path.isfile(actual): if Options.verbose: print 'Could not find %s' % actual return False if not os.path.isfile(expect): if Options.verbose: print 'Could not find %s' % expect return False return filecmp.cmp(actual, expect, False) def UpdateFiles(src, dst): """Update dst if it is different from src.""" if not CompareFiles(src, dst): print 'Copying from %s to %s' % (src, dst) shutil.copyfile(src, dst) def GetCommandLineArgs(filename): """Extracts command line arguments from first comment line in a file.""" f = open(filename, 'r') line = f.readline() if line[0] == '/' and line [1] == '/': return line[2:].strip() else: return '' def ExecTest(dirname): """Executes an llvm-rs-cc test from dirname.""" passed = True if Options.verbose != 0: print 'Testing %s' % dirname os.chdir(dirname) stdout_file = open('stdout.txt', 'w+') stderr_file = open('stderr.txt', 'w+') cmd_string = ('../../../../../../out/host/linux-x86/bin/llvm-rs-cc ' '-o tmp/ -p tmp/ ' '-MD ' '-I ../../../../../../frameworks/rs/scriptc/ ' '-I ../../../../../../mediatek/external/clang/lib/Headers/') base_args = cmd_string.split() rs_files = glob.glob('*.rs') fs_files = glob.glob('*.fs') rs_files += fs_files; rs_files.sort() # Extra command line arguments can be placed as // comments at the start of # any .rs file. We automatically bundle up all of these extra args and invoke # llvm-rs-cc with them. extra_args_str = '' for rs_file in rs_files: extra_args_str += GetCommandLineArgs(rs_file) extra_args = extra_args_str.split() args = base_args + extra_args + rs_files if Options.verbose > 1: print 'Executing:', for arg in args: print arg, print # Execute the command and check the resulting shell return value. # All tests that are expected to FAIL have directory names that # start with 'F_'. Other tests that are expected to PASS have # directory names that start with 'P_'. ret = 0 try: ret = subprocess.call(args, stdout=stdout_file, stderr=stderr_file) except: passed = False stdout_file.flush() stderr_file.flush() if Options.verbose > 1: stdout_file.seek(0) stderr_file.seek(0) for line in stdout_file: print 'STDOUT>', line, for line in stderr_file: print 'STDERR>', line, stdout_file.close() stderr_file.close() if dirname[0:2] == 'F_': if ret == 0: passed = False if Options.verbose: print 'Command passed on invalid input' elif dirname[0:2] == 'P_': if ret != 0: passed = False if Options.verbose: print 'Command failed on valid input' else: passed = (ret == 0) if Options.verbose: print 'Test Directory name should start with an F or a P' if not CompareFiles('stdout.txt', 'stdout.txt.expect'): passed = False if Options.verbose: print 'stdout is different' if not CompareFiles('stderr.txt', 'stderr.txt.expect'): passed = False if Options.verbose: print 'stderr is different' if Options.updateCTS: # Copy resulting files to appropriate CTS directory (if different). if passed and glob.glob('IN_CTS'): cts_path = '../../../../../cts/' cts_res_raw_path = cts_path + 'tests/res/raw/' cts_src_path = cts_path + 'tests/tests/renderscript/src/' for bc_src in glob.glob('tmp/*.bc'): bc_dst = re.sub('tmp\/', cts_res_raw_path, bc_src, 1) UpdateFiles(bc_src, bc_dst) for java_src in glob.glob('tmp/android/renderscript/cts/*.java'): java_dst = re.sub('tmp\/', cts_src_path, java_src, 1) UpdateFiles(java_src, java_dst) if Options.cleanup: try: os.remove('stdout.txt') os.remove('stderr.txt') shutil.rmtree('tmp/') except: pass os.chdir('..') return passed def Usage(): """Print out usage information.""" print ('Usage: %s [OPTION]... [TESTNAME]...' 'Renderscript Compiler Test Harness\n' 'Runs TESTNAMEs (all tests by default)\n' 'Available Options:\n' ' -h, --help Help message\n' ' -n, --no-cleanup Don\'t clean up after running tests\n' ' -u, --update-cts Update CTS test versions\n' ' -v, --verbose Verbose output\n' ) % (sys.argv[0]), return def main(): passed = 0 failed = 0 files = [] failed_tests = [] for arg in sys.argv[1:]: if arg in ('-h', '--help'): Usage() return 0 elif arg in ('-n', '--no-cleanup'): Options.cleanup = 0 elif arg in ('-u', '--update-cts'): Options.updateCTS = 1 elif arg in ('-v', '--verbose'): Options.verbose += 1 else: # Test list to run if os.path.isdir(arg): files.append(arg) else: print >> sys.stderr, 'Invalid test or option: %s' % arg return 1 if not files: tmp_files = os.listdir('.') # Only run tests that are known to PASS or FAIL # Disabled tests can be marked D_ and invoked explicitly for f in tmp_files: if os.path.isdir(f) and (f[0:2] == 'F_' or f[0:2] == 'P_'): files.append(f) for f in files: if os.path.isdir(f): if ExecTest(f): passed += 1 else: failed += 1 failed_tests.append(f) print 'Tests Passed: %d\n' % passed, print 'Tests Failed: %d\n' % failed, if failed: print 'Failures:', for t in failed_tests: print t, return failed != 0 if __name__ == '__main__': sys.exit(main())

25.738397

79

0.609672

853

6,100

4.260258

0.264947

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0.044029

0.040451

0.131536

0.093561

0.066043

0.024766

0

0.010748

0.252623

6,100

236

80

25.847458

0.786357

0.106885

0

0.156069

0

0.209028

0.041021

0

null

0.080925

0.040462

null

0.115607

0

null

0

null

0

1

0

1

0

2

f4ab38ac0d5423a09cca0a2ccc135af8a2198949

809

py

Python

utils/quad.py

comp-physics/PyQBMMlib

ab53f49bd797b147a75e38bd7b64217940b5af8b

[ "MIT" ]

4

2021-09-27T07:57:37.000Z

2022-03-26T17:29:53.000Z

PyCav/unused/quad.py

comp-physics/PyCav

d118f64bb318055f751f96f92a52295c3a4edbb5

[ "MIT" ]

2

2020-11-18T03:10:14.000Z

2020-12-13T05:31:19.000Z

PyCav/unused/quad.py

comp-physics/PyCav

d118f64bb318055f751f96f92a52295c3a4edbb5

[ "MIT" ]

2

2020-11-09T22:05:13.000Z

2021-09-17T19:00:19.000Z

import math import numpy as np def quadrature_1d(weights, abscissas, moment_index): xi_to_idx = abscissas ** moment_index q = np.dot(weights, xi_to_idx) return q def quadrature_2d(weights, abscissas, moment_index, num_quadrature_nodes): q = 0.0 for i in range(num_quadrature_nodes): q += ( weights[i] * (abscissas[0][i] ** moment_index[0]) * (abscissas[1][i] ** moment_index[1]) ) return q def quadrature_3d(weights, abscissas, moment_index, num_quadrature_nodes): q = 0.0 for i in range(num_quadrature_nodes): q += ( weights[i] * abscissas[0, i] ** moment_index[0] * abscissas[1, i] ** moment_index[1] * abscissas[2, i] ** moment_index[2] ) return q

25.28125

74

0.588381

108

809

4.185185

0.268519

0.219027

0.132743

0.168142

0.584071

0

0.029877

0.296663

809

31

75

26.096774

0.764499

0

0.44

0

1

0.12

false

0

0.08

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0.32

0

null

1

0

1

0

null

0

2

f4aeaf181496d5324218c96bec0a06941cb33a68

3,345

py

Python

test_algorithm.py

tykkz/hasherapp

6ba44b0714021e405add5f326e777268ce135a04

[ "MIT" ]

null

test_algorithm.py

tykkz/hasherapp

6ba44b0714021e405add5f326e777268ce135a04

[ "MIT" ]

1

2020-11-03T19:30:39.000Z

test_algorithm.py

tykkz/hasherapp

6ba44b0714021e405add5f326e777268ce135a04

[ "MIT" ]

null

import unittest from algorithm import hash_text class TestHashText(unittest.TestCase): def setUp(self): self.avail_func_array = ['md5', 'sha1', 'sha256'] self.avail_func_array2 = ['sha256', 'sha224'] self.text = "hello" self.hello_pass_1 = {'sha1': 'aaf4c61ddcc5e8a2dabede0f3b482cd9aea9434d', 'sha256': '2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824', 'md5': '5d41402abc4b2a76b9719d911017c592'} self.hello_pass_100 = {'sha1': '3005a7cebc1edda34127c87c7bc79074e113015d', 'sha256': '0c7e20c4751943a4cf4ec6a2d17a520c8aaf1d2a714e2af1ad6667fd06c056de', 'md5': '3b8ca2de573942e58426494e9fcf8766'} def test_successful(self): self.assertEqual(self.hello_pass_1, hash_text(self.avail_func_array, self.text, 1)[1], "Correct hash values for one (1) pass of given hash algorithms") self.assertCountEqual(self.hello_pass_100, hash_text(self.avail_func_array, self.text, 100)[1], "Correct hash values for hundred (100) pass of given hash algorithms") def test_empty_function_array(self): self.assertFalse(hash_text([], self.text, 1)[0], "One should not use empty array for the hash algorithm list.") def test_none_function_array_type(self): self.assertFalse(hash_text(None, self.text, 1)[0], "Incorrect type for hash algorithms list.") def test_diferent_function_array(self): self.assertNotEqual(self.hello_pass_1, hash_text(self.avail_func_array2, self.text, 1), "Incorrect list of results, different hash algorithms used.") def test_none_text_type(self): self.assertFalse(hash_text(self.avail_func_array, None, 1)[0], "Incorrect type for text to be hashed.") def test_incorrect_text_type(self): self.assertFalse(hash_text(self.avail_func_array, 9999, 1)[0], "Incorrect type for the text parameter; should be of string type.") def test_none_pass_count_type(self): self.assertFalse(hash_text(self.avail_func_array, self.text, None)[0], "Incorrect type for pass count.") def test_different_pass_count(self): self.assertNotEqual(self.hello_pass_1, hash_text(self.avail_func_array, self.text, 9999), "Incorrect list of results, different hash algorithms used.") def test_incorrect_pass_count_type(self): self.assertFalse(hash_text(self.avail_func_array, self.text, self.text)[0], "Incorrect type for the pass count parameter; should be of integer type.") def test_pass_count_value(self): self.assertFalse(hash_text(self.avail_func_array, self.text, 0)[0], "Incorrect value for the pass count parameter; should be larger than zero.") self.assertFalse(hash_text(self.avail_func_array, self.text, -9999)[0], "Incorrect value for the pass count parameter; should be larger than zero.") self.assertFalse(hash_text(self.avail_func_array, self.text, 99999999)[0], "Incorrect value for the pass count parameter; should be smaller than 1000000.") if __name__ == '__main__': unittest.main()

53.951613

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0.414486

0.398598

0.39486

0

0.097609

0.237369

3,345

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0

null

0

1

0

1

0

2

f4bb0cf77323eccc4671b98f9bb87e3bba54bed2

827

py

Python

class3.py

itsforbasu/Python_class_files

05890fddb7287e8b558dc4931fa725367dbf9ad5

[ "MIT" ]

1

2019-03-04T08:50:53.000Z

class3.py

itsforbasu/Python_class_files

05890fddb7287e8b558dc4931fa725367dbf9ad5

[ "MIT" ]

null

class3.py

itsforbasu/Python_class_files

05890fddb7287e8b558dc4931fa725367dbf9ad5

[ "MIT" ]

2

2018-10-17T15:10:24.000Z

2020-06-27T04:00:02.000Z

# print(range(5)) # a = range(1,10,5) # for x in a: # print(x) # num =1 # rem = num%2 # if rem==0: # print('The number is even') # else: # print('The number is odd') # print("I am not inside if statement") # num = -2 # if num>0: # print("Number is positive") # if (num % 2) == 0: # print('Number is even') # else: # print('Number is odd') # elif num<0: # print("Number is negative") # else: # print("Number is zero") # var = False # if var: # print('Hello') # amount = int(input("Enter amount: ")) # if amount >= 1000: # discount = amount*0.10 # print ("Discount",discount) # else: # discount = amount*0.05 # print ("Discount",discount) # print ("Net payable:",amount-discount) var = 100 if(var == 100): print ("This is 100")

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827

3.794872

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827

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null

0

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2

f4ce3a8bfc78005eb207f76ea8594a1f71e6b623

2,439

py

Python

parsons/controlshift/controlshift.py

cmc333333/parsons

50804a3627117797570f1e9233c9bbad583f7831

[ "Apache-2.0" ]

3

2019-09-05T16:57:15.000Z

2019-10-01T19:56:58.000Z

parsons/controlshift/controlshift.py

cmc333333/parsons

50804a3627117797570f1e9233c9bbad583f7831

[ "Apache-2.0" ]

22

2019-09-03T13:23:37.000Z

2019-10-03T20:32:48.000Z

parsons/controlshift/controlshift.py

cmc333333/parsons

50804a3627117797570f1e9233c9bbad583f7831

[ "Apache-2.0" ]

2

2019-09-01T18:30:10.000Z

2019-10-03T20:07:46.000Z

from parsons.etl.table import Table from parsons.utilities import check_env from parsons.utilities.oauth_api_connector import OAuth2APIConnector class Controlshift(object): """ Instantiate the Controlshift class. Requires an API Application integration. For more info on setup, see: https://developers.controlshiftlabs.com/#authenticated-rest-api-quickstart-guide `Args:` hostname: str The URL for the homepage/login page of the organization's Controlshift instance (e.g. demo.controlshift.app). Not required if ``CONTROLSHIFT_HOSTNAME`` env variable is set. client_id: str The Client ID for your REST API Application. Not required if ``CONTROLSHIFT_CLIENT_ID`` env variable is set. client_secret: str The Client Secret for your REST API Application. Not required if ``CONTROLSHIFT_CLIENT_SECRET`` env variable is set. `Returns:` Controlshift Class """ def __init__(self, hostname=None, client_id=None, client_secret=None): self.hostname = check_env.check('CONTROLSHIFT_HOSTNAME', hostname) token_url = f'{self.hostname}/oauth/token' self.client = OAuth2APIConnector( self.hostname, client_id=check_env.check('CONTROLSHIFT_CLIENT_ID', client_id), client_secret=check_env.check('CONTROLSHIFT_CLIENT_SECRET', client_secret), token_url=token_url, auto_refresh_url=token_url ) def get_petitions(self) -> Table: """ Get a full list of all petitions, including ones that are unlaunched or otherwise not visible to the public. `Return:` Table Class """ next_page = 1 petitions = [] while next_page: response = self.client.get_request( f'{self.hostname}/api/v1/petitions', {'page': next_page}) next_page = response['meta']['next_page'] petitions.extend(response['petitions']) return Table(petitions) def get_signatures(self): pass def get_members(self): pass def get_partnerships(self): pass def get_events(self): pass def get_attendees(self): pass def get_calendars(self): pass def get_local_groups(self): pass

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0

null

0

null

0

1

0

1

0

2

f4d99c61b6c0161e836ae357ed392385bb80625b

365

py

Python

output/models/ms_data/particles/particles_jj004_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

1

2021-08-14T17:59:21.000Z

output/models/ms_data/particles/particles_jj004_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

4

2020-02-12T21:30:44.000Z

2020-04-15T20:06:46.000Z

output/models/ms_data/particles/particles_jj004_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

null

from output.models.ms_data.particles.particles_jj004_xsd.particles_jj004 import ( B as B, R, Doc, ) from output.models.ms_data.particles.particles_jj004_xsd.particles_jj004_imp import ( B as ImpB, ExtRefType, ImpElem1, ImpElem2, ) __all__ = [ "B", "R", "Doc", "ImpB", "ExtRefType", "ImpElem1", "ImpElem2", ]

16.590909

85

0.632877

44

365

4.954545

0.431818

0.256881

0.146789

0.165138

0.568807

0

0.057971

0.243836

365

21

86

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null

1

0

1

0

null

0

2

f4ef53015e7ac8df146831a06f0b38895ccaf08d

804

py

Python

JSS/CustomCallbacks.py

Sa3doun13/PADL-2022

a0581e07179f7d28617275ac8134fd03d1e69f4b

[ "MIT" ]

29

2021-07-19T02:42:08.000Z

2022-03-29T07:17:45.000Z

JSS/CustomCallbacks.py

Sa3doun13/PADL-2022

a0581e07179f7d28617275ac8134fd03d1e69f4b

[ "MIT" ]

15

2021-02-08T17:11:53.000Z

2021-06-18T09:00:30.000Z

JSS/CustomCallbacks.py

Sa3doun13/PADL-2022

a0581e07179f7d28617275ac8134fd03d1e69f4b

[ "MIT" ]

18

2021-07-15T03:29:22.000Z

2022-03-29T06:58:12.000Z

from typing import Dict from ray.rllib.agents.callbacks import DefaultCallbacks from ray.rllib.env import BaseEnv from ray.rllib.evaluation import MultiAgentEpisode, RolloutWorker from ray.rllib.policy import Policy from ray.rllib.utils.typing import PolicyID class CustomCallbacks(DefaultCallbacks): def __init__(self, legacy_callbacks_dict: Dict[str, callable] = None): super(CustomCallbacks, self).__init__(legacy_callbacks_dict) def on_episode_end(self, worker: "RolloutWorker", base_env: BaseEnv, policies: Dict[PolicyID, Policy], episode: MultiAgentEpisode, **kwargs): env = base_env.get_unwrapped()[0] if env.last_time_step != float('inf'): episode.custom_metrics['make_span'] = env.last_time_step

38.285714

74

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804

5.760417

0.489583

0.063291

0.108499

0.05425

0

0.001546

0.195274

804

20

75

40.2

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false

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0.6

0

null

0

null

0

1

0

1

0

2

f4fee38270658ece767acc57d0141477a47c6026

4,264

py

Python

schema_org/models.py

jermnelson/aristotle-library-apps

f742847cd20c5b5c3b46dd53dfc395a2e1caa240

[ "Apache-2.0" ]

2

2015-03-30T16:36:51.000Z

2016-06-15T01:39:47.000Z

schema_org/models.py

jermnelson/aristotle-library-apps

f742847cd20c5b5c3b46dd53dfc395a2e1caa240

[ "Apache-2.0" ]

2

2021-06-10T17:43:54.000Z

2021-12-13T19:40:08.000Z

schema_org/models.py

jermnelson/aristotle-library-apps

f742847cd20c5b5c3b46dd53dfc395a2e1caa240

[ "Apache-2.0" ]

1

2015-11-08T00:40:11.000Z

__author__ = "Jeremy Nelson" import json, os from stdnet import odm from aristotle.settings import PROJECT_HOME from aristotle.settings import ANNOTATION_REDIS, AUTHORITY_REDIS, CREATIVE_WORK_REDIS, INSTANCE_REDIS SCHEMA_RDFS = json.load(open(os.path.join(PROJECT_HOME, 'schema_org', 'fixures', 'all.json'), 'rb')) class Thing(odm.StdModel): """ Schema.org Thing Base Model available at http://schema.org/Thing """ additionalType = odm.ForeignField() description = odm.CharField() image = odm.CharField() name = odm.SymbolField() url = odm.SymbolField() def __unicode__(self): return self.name class Meta: abstract = True class CreativeWork(Thing): """ Schema.org Creative Work Model available at http://schema.org/CreativeWork """ about = odm.ForeignField() accountablePerson = odm.ForeignField('Person') aggregateRating = odm.SymbolField() alternativeHeadline = odm.SymbolField() associatedMedia = odm.SymbolField() audience = odm.SymbolField() audio = odm.CharField() author = odm.ManyToManyField() award = odm.ListField() comment = odm.ManyToManyField('UserComments') contentLocation = odm.ForeignField('Place') contentRating = odm.SymbolField() contributor = odm.ManyToManyField() copyrightHolder = odm.ForeignField() copyrightYear = odm.DateField() creator = odm.ManyToManyField() dateCreated = odm.SymbolField() dateModified = odm.SymbolField() datePublished = odm.SymbolField() discussionUrl = odm.SymbolField() editor = odm.ForeignField('Person') encoding = odm.ForeignField('MediaObject') genre = odm.SymbolField() headline = odm.CharField() inLanguage = odm.SymbolField() interactionCount = odm.SymbolField() isFamilyFriendly = odm.BooleanField() keywords = odm.SetField() mentions = odm.ManyToManyField() offers = odm.ManyToManyField('Offer') provider = odm.ManyToManyField() publisher = odm.ManyToManyField() publishingPrinciples = odm.CharField() review = odm.SymbolField('Review') sourceOrganization = odm.ForeignField('Organization') text = odm.CharField() thumbnailUrl = odm.CharField() version = odm.FloatField() video = odm.ForeignField('VideoObject') class Person(Base): additionalType = odm.SymbolField() description = odm.SymbolField() image = odm.SymbolField() name = odm.SymbolField() url = odm.SymbolField() additionalName = odm.SymbolField() address = odm.SymbolField() affiliation = odm.SymbolField() alumniOf = odm.SymbolField() award = odm.SymbolField() awards = odm.SymbolField() birthDate = odm.SymbolField() brand = odm.SymbolField() children = odm.SymbolField() colleague = odm.SymbolField() colleagues = odm.SymbolField() contactPoint = odm.SymbolField() contactPoints = odm.SymbolField() deathDate = odm.SymbolField() duns = odm.SymbolField() email = odm.SymbolField() familyName = odm.SymbolField() faxNumber = odm.SymbolField() follows = odm.SymbolField() gender = odm.SymbolField() givenName = odm.SymbolField() globalLocationNumber = odm.SymbolField() hasPOS = odm.SymbolField() homeLocation = odm.SymbolField() honorificPrefix = odm.SymbolField() honorificSuffix = odm.SymbolField() interactionCount = odm.SymbolField() isicV4 = odm.SymbolField() jobTitle = odm.SymbolField() knows = odm.SymbolField() makesOffer = odm.SymbolField() memberOf = odm.SymbolField() naics = odm.SymbolField() nationality = odm.SymbolField() owns = odm.SymbolField() parent = odm.SymbolField() parents = odm.SymbolField() performerIn = odm.SymbolField() relatedTo = odm.SymbolField() seeks = odm.SymbolField() sibling = odm.SymbolField() siblings = odm.SymbolField() spouse = odm.SymbolField() taxID = odm.SymbolField() telephone = odm.SymbolField() vatID = odm.SymbolField() workLocation = odm.SymbolField() worksFor = odm.SymbolField()

32.8

101

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387

4,264

7.255814

0.387597

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0.019231

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4,264

129

102

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false

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0.938596

0

null

1

0

null

0

1

0

2

760464bc93238c76444c656b97568d6883bcc5fe

2,885

py

Python

tests/index_jsonfile_test.py

Stidsty/dismantle

26fb8fe7ba97349a67498715bb47a19329b1a4c7

[ "Apache-2.0" ]

null

tests/index_jsonfile_test.py

Stidsty/dismantle

26fb8fe7ba97349a67498715bb47a19329b1a4c7

[ "Apache-2.0" ]

null

tests/index_jsonfile_test.py

Stidsty/dismantle

26fb8fe7ba97349a67498715bb47a19329b1a4c7

[ "Apache-2.0" ]

null

# Copyright 2021 Gary Stidston-Broadbent # # 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 json import JSONDecodeError import pytest from dismantle.index import IndexHandler, JsonFileIndexHandler def test_notfound(datadir): with pytest.raises(FileNotFoundError): JsonFileIndexHandler(datadir.join('index_notfound.json')) def test_blank(datadir): with pytest.raises(JSONDecodeError): JsonFileIndexHandler(datadir.join('index_blank.json')) def test_empty(datadir): index = JsonFileIndexHandler(datadir.join('index_empty.json')) assert len(index) == 0 def test_broken(datadir): with pytest.raises(JSONDecodeError): JsonFileIndexHandler(datadir.join('index_broken.json')) def test_populated(datadir): index = JsonFileIndexHandler(datadir.join('index_populated.json')) assert isinstance(index, IndexHandler) is True def test_rfc8089(datadir): path = 'file://' + str(datadir.join('index_populated.json')) index = JsonFileIndexHandler(path) assert isinstance(index, IndexHandler) is True def test_outdated(datadir): index = JsonFileIndexHandler(datadir.join('index_populated.json')) assert index.outdated is False def test_update(datadir): index = JsonFileIndexHandler(datadir.join('index_populated.json')) assert index.update() is True def test_length(datadir): index = JsonFileIndexHandler(datadir.join('index_populated.json')) assert len(index) == 6 assert len(index.find('@scope-one/package-one')) == 1 assert len(index.find('package-one')) == 3 assert len(index.find('package-two')) == 2 assert len(index.find('package-three')) == 1 assert len(index.find('@scope-one')) == 3 assert len(index.find('@scope-two')) == 2 assert len(index.find('@scope-three')) == 1 def test_populated_package_exists(datadir): index = JsonFileIndexHandler(datadir.join('index_populated.json')) package = index["@scope-one/package-one"] assert package["name"] == "@scope-one/package-one" assert package["version"] == "0.1.0" assert package["path"] == "@scope-one/package-one" def test_populated_package_nonexistant(datadir): index = JsonFileIndexHandler(datadir.join('index_populated.json')) with pytest.raises(KeyError): index["@scope-four/package-one"]

33.941176

79

0.710572

357

2,885

5.669468

0.305322

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0.086957

0.177866

0.474802

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0.071146

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0

null

0

1

0

null

0

1

0

2

76065c48cf54d50698fe18038c4e3fed59bd2812

1,549

py

Python

07-for-loop.py

deepaksamuel/python-tutorials

9e08c7b589e6b00c2c1781ad09fc76944c2f7c87

[ "MIT" ]

1

2022-02-20T17:31:09.000Z

07-for-loop.py

deepaksamuel/python-tutorials

9e08c7b589e6b00c2c1781ad09fc76944c2f7c87

[ "MIT" ]

null

07-for-loop.py

deepaksamuel/python-tutorials

9e08c7b589e6b00c2c1781ad09fc76944c2f7c87

[ "MIT" ]

1

2021-02-09T14:41:56.000Z

# in this tutorial, you will learn how to use for loop statement in python import numpy as np # Aim: We want to print "Hello" 10 times: # np.arange creates a sequence from 0-9. # in each loop i is given a number in the sequence (in order) # the ":" is the beginning of the loop" # The moment you press enter after the ":", a tab space (indent) is created for you in Spyder (and most python IDEs) # All statments with an indent are considered to be a part of that loop. # One should be careful not to create/delete extra spaces in the beginning of such statements. This will lead to problems. The indent space plays the role similar to that of curly brackets in C/C++ # To come out of the loop, at the end of the last statement of the loop, press shift + tab for i in np.arange(0,10): print("{0} Hello".format(i)) # observe the space before this statement (Don't delete it). Its called a indent which is auto created when you press enter after pressing the : characater. You can also press the tab button to create one. print("loop over") # Assignment # write a python code using loops to print out series like: # 1,1 # 1,2 # 1,4 # 1,5 # 2,1 # 2,2 # 2,3 # 2,4 # 2,5 # Hint: You will require a loop inside a loop. The second for loop statement must be singe indented and the content of the second for loop must be double indented. # In case, you could not do it, the answer is given below. # # # # # # # # for i in np.arange(1,3): # for j in np.arange(1,6): # print("{0},{1}".format(i,j)) # print("loop over")

33.673913

239

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1,549

3.72069

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0.025023

0.033364

0.02595

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0.026381

0.216914

1,549

45

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null

0

1

0

null

0

1

0

2

760cca81cf5a888224f8ca8f9ef1f4746f77c966

215

py

Python

app.py

VerdantFox/flask_authomatic_example

4aaa35bfb9b16675b561541151019b7528a25757

[ "MIT" ]

1

2020-06-10T22:46:07.000Z

app.py

VerdantFox/flask_authomatic_example

4aaa35bfb9b16675b561541151019b7528a25757

[ "MIT" ]

null

app.py

VerdantFox/flask_authomatic_example

4aaa35bfb9b16675b561541151019b7528a25757

[ "MIT" ]

1

2022-02-06T10:58:56.000Z

"""This is the main file called to run the flask application""" from dotenv import load_dotenv from root.factory import create_app if __name__ == "__main__": load_dotenv() app = create_app() app.run()

21.5

63

0.711628

32

215

4.40625

0.625

0.141844

0

0.195349

215

9

64

23.888889

0.815029

0.265116

0

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0.333333

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0.333333

0

null

0

1

0

null

0

1

0

2

7616c352204219b85bd25e7b51be85319a9dbf88

159

py

Python

stringexercicolista1.1.py

CarolShiny/Estudo-Python

3b9f791e7034abd83589d02e40695f1d972c045d

[ "MIT" ]

null

stringexercicolista1.1.py

CarolShiny/Estudo-Python

3b9f791e7034abd83589d02e40695f1d972c045d

[ "MIT" ]

null

stringexercicolista1.1.py

CarolShiny/Estudo-Python

3b9f791e7034abd83589d02e40695f1d972c045d

[ "MIT" ]

null

import stringExercicio #questão 6: programa frase = input("Digite uma frase:") .lower() resultado = stringExercicio.quantPontuacao(frase) print(resultado)

15.9

49

0.773585

17

159

7.235294

0.764706

0

0.007143

0.119497

159

9

50

17.666667

0.871429

0.119497

0

0.124088

0

1

0

false

0

0.25

0

0.25

1

0

null

0

1

0

null

0

2

762107436d6dd73e94bc0688afb514afbd72703e

680

py

Python

setup.py

tikazyq/google-analytics-api-wrapper

91ffc1d6b4cb810aea20541153d64730873903b9

[ "MIT" ]

6

2015-03-11T01:38:54.000Z

2021-07-09T21:40:12.000Z

setup.py

QPC-database/google-analytics-api-wrapper

91ffc1d6b4cb810aea20541153d64730873903b9

[ "MIT" ]

null

setup.py

QPC-database/google-analytics-api-wrapper

91ffc1d6b4cb810aea20541153d64730873903b9

[ "MIT" ]

1

2021-07-09T21:40:13.000Z

from distutils.core import setup setup( name='google-analytics-api-wrapper', version='0.1.4', packages=['analytics_query'], url='https://github.com/tikazyq/google-analytics-api-wrapper', download_url='https://github.com/tikazyq/google-analytics-api-wrapper/tarball/master', license='http://opensource.org/licenses/MIT', author='Yeqing Zhang', author_email='tikazyq@gmail.com', description='The Goolge Analytics wrapper is a convenient tool to extract data from GA via API. It is especially ' 'useful when the user has many GA profiles / web properties.', keywords=['google-analytics', 'ga', 'pandas', 'dataframe', 'api'] )

42.5

118

0.7

89

680

5.314607

0.674157

0.12685

0.114165

0.158562

0.207188

0

0.005236

0.157353

680

15

119

45.333333

0.820244

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0.041176

0

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true

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0.071429

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0.071429

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null

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null

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1

0

2

762bd538244a3b2885df930cc12fdb20bebc5149

1,415

py

Python

hippy/objects/boolobject.py

shendel/hippyvm

26cc6675612e4ddc4d1b425d2731d34c97355c45

[ "MIT" ]

1

2021-07-28T01:10:41.000Z

hippy/objects/boolobject.py

shendel/hippyvm

26cc6675612e4ddc4d1b425d2731d34c97355c45

[ "MIT" ]

null

hippy/objects/boolobject.py

shendel/hippyvm

26cc6675612e4ddc4d1b425d2731d34c97355c45

[ "MIT" ]

null

from hippy.objects.base import W_Object class W_BoolObject(W_Object): _immutable_fields_ = ['boolval'] supports_arithmetics = True def __init__(self, boolval): self.boolval = boolval def is_true(self, space): return self.boolval def str(self, space, quiet=False): if self.boolval: return '1' return '' def repr(self): return 'true' if self.boolval else 'false' def as_number(self, space): return space.newint(int(self.boolval)) def int_w(self, space): return int(self.boolval) def __repr__(self): return 'W_BoolObject(%s)' % self.boolval def var_dump(self, space, indent, recursion): if self.boolval: s = '%sbool(true)\n' % indent else: s = '%sbool(false)\n' % indent return s def var_export(self, space, indent, recursion, suffix): if self.boolval: s = '%strue%s' % (indent, suffix) else: s = '%sfalse%s' % (indent, suffix) return s def is_empty_value(self): return not self.boolval def overflow_convert(self, space): return self def eval_static(self, space): return self def serialize(self, space, builder, memo): builder.append("b:%d;" % self.boolval) return True w_True = W_BoolObject(True) w_False = W_BoolObject(False)

22.822581

59

0.592226

178

1,415

4.544944

0.314607

0.163164

0.092707

0.070457

0.054388

0

0.001006

0.297527

1,415

61

60

23.196721

0.812877

0

0.209302

0

0.059406

0

1

0.302326

false

0

0.023256

0.186047

0.697674

0

null

0

null

0

1

0

1

0

2

520dd3fd29330a1573443514868205af963608f5

1,425

py

Python

day8/task1.py

kohoutekkk/advent_of_code_2019

84ec02616e1f52a63281fb7333ffbaeaeacdc15e

[ "MIT" ]

null

day8/task1.py

kohoutekkk/advent_of_code_2019

84ec02616e1f52a63281fb7333ffbaeaeacdc15e

[ "MIT" ]

null

day8/task1.py

kohoutekkk/advent_of_code_2019

84ec02616e1f52a63281fb7333ffbaeaeacdc15e

[ "MIT" ]

null

op_str = 'acc +7' def parse_operation(operation_str): op_list = operation_str.strip().split() operation = op_list[0] op_sign = op_list[1][0] steps = op_list[1][1:] return {'operation': operation, 'sign': op_sign, 'steps': int(steps), 'visited': False} #print(parse_operation(op_str)) #operations_file = open('data/test_operations.txt') operations_file = open('data/operations.txt') operations_dicts = [parse_operation(item) for item in operations_file.readlines()] operations_file.close() #print(operations_dicts[0]) accumulator = 0 location = 0 cycle = False while 1 == 1: if operations_dicts[location]['visited']: break operations_dicts[location]['visited'] = True if operations_dicts[location]['operation'] == 'acc': if operations_dicts[location]['sign'] == '+': accumulator += operations_dicts[location]['steps'] elif operations_dicts[location]['sign'] == '-': accumulator -= operations_dicts[location]['steps'] location += 1 elif operations_dicts[location]['operation'] == 'nop': location += 1 elif operations_dicts[location]['operation'] == 'jmp': if operations_dicts[location]['sign'] == '+': location += operations_dicts[location]['steps'] elif operations_dicts[location]['sign'] == '-': location -= operations_dicts[location]['steps'] print(accumulator)

26.886792

91

0.654035

161

1,425

5.583851

0.254658

0.250278

0.332592

0.111235

0.400445

0.395996

0.295884

0

0.011265

0.190175

1,425

52

92

27.403846

0.767764

0.074386

0

0.193548

0

0.106789

0

1

0.032258

false

0

0.064516

0.032258

0

null

1

0

null

0

2

521faf2d7c3f99ab052738f2fa0d81a2572dc62c

228

py

Python

components/espcoredump/corefile/soc_headers/esp32s2.py

lovyan03/esp-idf

cd5d30b56a13b8f0933e8879be1f97724a88004a

[ "Apache-2.0" ]

8,747

2016-08-18T14:58:24.000Z

2022-03-31T20:58:55.000Z

components/espcoredump/corefile/soc_headers/esp32s2.py

lovyan03/esp-idf

cd5d30b56a13b8f0933e8879be1f97724a88004a

[ "Apache-2.0" ]

8,603

2016-08-20T08:55:56.000Z

2022-03-31T23:04:01.000Z

components/espcoredump/corefile/soc_headers/esp32s2.py

lovyan03/esp-idf

cd5d30b56a13b8f0933e8879be1f97724a88004a

[ "Apache-2.0" ]

6,380

2016-08-18T18:17:00.000Z

2022-03-31T22:25:57.000Z

SOC_IRAM_LOW = 0x40020000 SOC_IRAM_HIGH = 0x40070000 SOC_DRAM_LOW = 0x3ffb0000 SOC_DRAM_HIGH = 0x40000000 SOC_RTC_DRAM_LOW = 0x3ff9e000 SOC_RTC_DRAM_HIGH = 0x3ffa0000 SOC_RTC_DATA_LOW = 0x50000000 SOC_RTC_DATA_HIGH = 0x50002000

25.333333

30

0.859649

36

228

4.888889

0.416667

0.136364

0.113636

0

0.308824

0.105263

228

8

31

28.5

0.553922

0

0.350877

0

1

0

false

0

null

0

1

0

1

0

null

0

2

5238806be3b3ab2fa0f62f2c7a279c42b1dcd8cb

669

py

Python

companies/models.py

MattYu/ConcordiaAce

35eff7614652eb548e532dcf00e3a7296855285c

[ "MIT" ]

1

2021-06-14T06:54:16.000Z

companies/models.py

MattYu/ConcordiaAce

35eff7614652eb548e532dcf00e3a7296855285c

[ "MIT" ]

34

2020-04-05T01:14:31.000Z

2022-03-12T00:23:02.000Z

dockerizing-django/web/companies/models.py

MattYu/ConcordiaAce

35eff7614652eb548e532dcf00e3a7296855285c

[ "MIT" ]

null

from django.db import models from ace.constants import COMPANY_STATUS # Create your models here. class Company(models.Model): name = models.CharField(max_length = 100, default= "") address = models.CharField(max_length = 100, default= "") website = models.CharField(max_length = 100, default= "") profile = models.TextField(max_length = 1000, default= "") image = models.ImageField(upload_to='images/company/', default="images/company/company-logo-1") status = models.CharField(max_length = 20, default= "Pending", choices= COMPANY_STATUS) is_approved = models.BooleanField(default=False) def __str__(self): return self.name

41.8125

101

0.718984

83

669

5.638554

0.518072

0.096154

0.153846

0.205128

0.217949

0

0.02847

0.15994

669

16

102

41.8125

0.80427

0.035874

0

0.079193

0.045031

0

1

0.083333

false

0

0.166667

0.083333

1

0

null

0

1

0

null

0

1

0

2

523fa16f81bc2455855cae4b25cab7921ab0c142

14,438

py

Python

template/protocol/x509.py

clayne/syringe-1

4a431aa65c371a2018fca95145a3952ba802a609

[ "BSD-2-Clause" ]

25

2015-04-14T21:53:46.000Z

2022-03-30T19:15:24.000Z

template/protocol/x509.py

clayne/syringe-1

4a431aa65c371a2018fca95145a3952ba802a609

[ "BSD-2-Clause" ]

5

2020-03-23T20:19:59.000Z

2021-05-24T19:38:31.000Z

template/protocol/x509.py

clayne/syringe-1

4a431aa65c371a2018fca95145a3952ba802a609

[ "BSD-2-Clause" ]

7

2015-07-31T13:26:37.000Z

2021-03-05T19:35:37.000Z

import ptypes from . import ber from ptypes import * Protocol = ber.Protocol.copy(recurse=True) Universal = Protocol.lookup(ber.Universal.Class) Context = Protocol.lookup(ber.Context.Class) Application = Protocol.lookup(ber.Application.Class) @Universal.define class OBJECT_IDENTIFIER(ber.OBJECT_IDENTIFIER): id_at = lambda name, oid: tuple('.'.join([item, value]) for item, value in zip(['joint-iso-itu-t.ds.attributeType', '2.5.4'], [name, "{:d}".format(oid)])) _values_ = [ id_at('title', 12), id_at('dnQualifier', 46), id_at('countryName', 6), id_at('serialNumber', 5), id_at('pseudonym', 65), id_at('name', 41), id_at('surname', 4), id_at('givenName', 42), id_at('initials', 43), id_at('generationQualifier', 44), id_at('commonName', 3), id_at('localityName', 7), id_at('stateOrProvinceName', 8), id_at('organizationName', 10), id_at('organizationUnitName', 11), id_at('title', 12), id_at('dnQualifier', 46), ] # PKCS #7 & #9 _values_ += [ ('md5', '1.2.840.113549.2.5'), ('rsa', '1.3.14.3.2.1.1'), ('desMAC', '1.3.14.3.2.10'), ('rsaSignature', '1.3.14.3.2.11'), ('dsa', '1.3.14.3.2.12'), ('dsaWithSHA', '1.3.14.3.2.13'), ('mdc2WithRSASignature', '1.3.14.3.2.14'), ('shaWithRSASignature', '1.3.14.3.2.15'), ('dhWithCommonModulus', '1.3.14.3.2.16'), ('desEDE', '1.3.14.3.2.17'), ('sha', '1.3.14.3.2.18'), ('mdc-2', '1.3.14.3.2.19'), ('dsaCommon', '1.3.14.3.2.20'), ('dsaCommonWithSHA', '1.3.14.3.2.21'), ('rsaKeyTransport', '1.3.14.3.2.22'), ('keyed-hash-seal', '1.3.14.3.2.23'), ('md2WithRSASignature', '1.3.14.3.2.24'), ('md5WithRSASignature', '1.3.14.3.2.25'), ('sha1', '1.3.14.3.2.26'), ('dsaWithSHA1', '1.3.14.3.2.27'), ('dsaWithCommandSHA1', '1.3.14.3.2.28'), ('sha-1WithRSAEncryption', '1.3.14.3.2.29'), ('contentType', '1.2.840.113549.1.9.3'), ('messageDigest', '1.2.840.113549.1.9.4'), ('signingTime', '1.2.840.113549.1.9.5'), ('counterSignature', '1.2.840.113549.1.9.6'), ('challengePassword', '1.2.840.113549.1.9.7'), ('unstructuredAddress', '1.2.840.113549.1.9.8'), ('extendedCertificateAttributes', '1.2.840.113549.1.9.9'), ('rsaEncryption', '1.2.840.113549.1.1.1'), ('md2withRSAEncryption', '1.2.840.113549.1.1.2'), ('md4withRSAEncryption', '1.2.840.113549.1.1.3'), ('md5withRSAEncryption', '1.2.840.113549.1.1.4'), ('sha1withRSAEncryption', '1.2.840.113549.1.1.5'), ('rsaOAEPEncryptionSET', '1.2.840.113549.1.1.6'), ('dsa', '1.2.840.10040.4.1'), ('dsaWithSha1', '1.2.840.10040.4.3'), ('joint-iso-itu-t.ds.certificateExtension.authorityKeyIdentifier', (2,5,29,1)), ] class AttributeType(OBJECT_IDENTIFIER): pass class AttributeValue(ber.PrintableString): pass class AttributeTypeAndValue(ber.SEQUENCE): def __AttributeValue(self): p = self.getparent(AttributeTypeAndValue) res = p['type']['value'] return AttributeValue __AttributeValue.type = ber.PrintableString.type _fields_ = [ (AttributeType, 'type'), (__AttributeValue, 'value'), ] class RelativeDistinguishedName(ber.SET): def _object_(self): return dyn.clone(Packet, __object__=lambda self, _: AttributeTypeAndValue) class RDNSequence(ber.SEQUENCE): def _object_(self): return dyn.clone(Packet, __object__=lambda self, _: RelativeDistinguishedName) class Name(RDNSequence): pass class Version(pint.enum, ber.INTEGER): _values_ = [ ('v1', 0), ('v2', 1), ('v3', 2), ] class Version_DEFAULT(ber.Constructed): _fields_ = [ (Version, 'DEFAULT'), ] class CertificateSerialNumber(ber.INTEGER): pass class Time(ber.UTCTime): pass class Validity(ber.SEQUENCE): _fields_ = [ (Time, 'notBefore'), (Time, 'notAfter'), ] class UniqueIdentifier(ber.BIT_STRING): pass class AlgorithmIdentifier(ber.SEQUENCE): def __parameters(self): return ber.SEQUENCE __parameters.type = ber.SEQUENCE.type _fields_ = [ (OBJECT_IDENTIFIER, 'algorithm'), (__parameters, 'parameters'), ] class RSAPublicKey(ber.SEQUENCE): _fields_ = [ (ber.INTEGER, 'modulus'), (ber.INTEGER, 'publicExponent'), ] class SubjectPublicKeyInfo(ber.SEQUENCE): def __subjectPublicKey(self): p = self.getparent(SubjectPublicKeyInfo) res = p['algorithm']['value'] algorithm, parameters = (res[fld]['value'] if res.has(fld) else None for fld in ['algorithm', 'parameters']) algoIdentifier = tuple(algorithm.identifier()) # FIXME: this won't always be an RSAPublicKey as it depends # on the algorithm. t = dyn.clone(Packet, __object__=lambda self, _: RSAPublicKey) return dyn.clone(ber.BIT_STRING, _object_=t) __subjectPublicKey.type = ber.BIT_STRING.type _fields_ = [ (AlgorithmIdentifier, 'algorithm'), #(ber.BIT_STRING, 'subjectPublicKey'), (__subjectPublicKey, 'subjectPublicKey'), ] class KeyIdentifier(ber.OCTET_STRING): pass @Application.define class CountryName(ber.Constructed): tag = 1 _fields_ = [ (ber.NumericString, 'x121-dcc-code'), (ber.PrintableString, 'iso-3166-alpha2-code'), ] @Application.define class AdministrationDomainName(ber.Constructed): tag = 2 _fields_ = [ (ber.NumericString, 'numeric'), (ber.PrintableString, 'printable'), ] class X121Address(ber.NumericString): pass class NetworkAddress(ber.Constructed): _fields_ = [ (X121Address, 'address'), ] class TerminalIdentifier(ber.PrintableString): pass class PrivateDomainName(ber.Constructed): _fields_ = [ (ber.NumericString, 'numeric'), (ber.PrintableString, 'printable'), ] class OrganizationName(ber.PrintableString): pass class NumericUserIdentifier(ber.NumericString): pass class PersonalName(ber.SET): _fields_ = [ (dyn.clone(ber.PrintableString, type=(Context, 0)), 'surname'), (dyn.clone(ber.PrintableString, type=(Context, 1)), 'given-name'), (dyn.clone(ber.PrintableString, type=(Context, 2)), 'initials'), (dyn.clone(ber.PrintableString, type=(Context, 3)), 'generation-qualifier'), ] class OrganizationalUnitName(ber.PrintableString): pass class OrganizationalUnitNames(ber.SEQUENCE): def _object_(self): return dyn.clone(Packet, __object__=lambda self, _: OrganizationalUnitName) class BuiltInStandardAttributes(ber.SEQUENCE): _fields_ = [ (CountryName, 'country-name'), (AdministrationDomainName, 'administration-domain-name'), (dyn.clone(NetworkAddress, type=(Context, 0)), 'network-address'), (dyn.clone(TerminalIdentifier, type=(Context, 1)), 'terminal-identifier'), (dyn.clone(PrivateDomainName, type=(Context, 2)), 'private-domain-name'), (dyn.clone(OrganizationName, type=(Context, 3)), 'organization-name'), (dyn.clone(NumericUserIdentifier, type=(Context, 4)), 'numeric-user-identifier'), (dyn.clone(PersonalName, type=(Context, 5)), 'personal-name'), (dyn.clone(OrganizationalUnitNames, type=(Context, 6)), 'organizational-unit-names'), ] class BuiltInDomainDefinedAttribute(ber.SEQUENCE): _fields_ = [ (ber.PrintableString, 'type'), (ber.PrintableString, 'value'), ] class BuiltInDomainDefinedAttributes(ber.SEQUENCE): def _object_(self): return dyn.clone(Packet, __object__=lambda self, _: BuiltInDomainDefineAttribute) class ExtensionAttribute(ber.SEQUENCE): def __extension_attribute_value(self): p = self.getparent(ExtensionAttribute) t = p['extension-attribute-type']['value'] return ber.Constructed __extension_attribute_value.type = (Context, 1) _fields_ = [ (dyn.clone(ber.INTEGER, type=(Context, 0)), 'extension-attribute-type'), (__extension_attribute_value, 'extension-attribute-value'), ] class ExtensionAttributes(ber.SET): def _object_(self): return dyn.clone(Packet, __object__=lambda self, _: ExtensionAttribute) class ORAddress(ber.SEQUENCE): _fields_ = [ (BuiltInStandardAttributes, 'built-in-standard-attributes'), (BuiltInDomainDefinedAttributes, 'built-in-domain-defined-attributes'), (ExtensionAttributes, 'extension-attributes'), ] class TeletexString(ber.T61String): pass class DirectoryString(ber.Constructed): _fields_ = [ (TeletexString, 'teletexString'), (ber.PrintableString, 'printableString'), (ber.UniversalString, 'universalString'), (ber.UTF8String, 'utf8String'), (ber.BMPString, 'bmpString'), ] class EDIPartyName(ber.SEQUENCE): _fields_ = [ (dyn.clone(DirectoryString, type=(Context, 0)), 'nameAssigner'), (dyn.clone(DirectoryString, type=(Context, 1)), 'partyName'), ] class AnotherName(ber.SEQUENCE): def __value(self): p = self.getparent(AnotherName) t = p['type-id']['value'] return ber.Constructed __value.type = (Context, 0) _fields_ = [ (OBJECT_IDENTIFIER, 'type-id'), (__value, 'value'), ] class GeneralName(ber.Constructed): _fields_ = [ (dyn.clone(AnotherName, type=(Context, 0)), 'otherName'), (dyn.clone(ber.IA5String, type=(Context, 1)), 'rfc822Name'), (dyn.clone(ber.IA5String, type=(Context, 2)), 'dNSName'), (dyn.clone(ORAddress, type=(Context, 3)), 'x400Address'), (dyn.clone(Name, type=(Context, 4)), 'directoryName'), (dyn.clone(EDIPartyName, type=(Context, 5)), 'ediPartyName'), (dyn.clone(ber.IA5String, type=(Context, 6)), 'uniformResourceIdentifier'), (dyn.clone(ber.OCTET_STRING, type=(Context, 7)), 'iPAddress'), (dyn.clone(OBJECT_IDENTIFIER, type=(Context, 8)), 'registeredID'), ] class GeneralNames(ber.SEQUENCE): def _object_(self): return dyn.clone(Packet, __object__=lambda self, _: GeneralName) class AuthorityKeyIdentifier(ber.SEQUENCE): _fields_ = [ (dyn.clone(KeyIdentifier, type=(Context, 0)), 'keyIdentifier'), (dyn.clone(GeneralNames, type=(Context, 1)), 'authorityCertIssuer'), (dyn.clone(CertificateSerialNumber, type=(Context, 2)), 'authorityCertSerialNumber'), ] class Extension(ber.SEQUENCE): def __extnValue(self): p = self.getparent(Extension) extensionId = p['extnID']['value'] id = extensionId.identifier() # This octet string is actually der-encoded, so we should # return a packet type specifically for the x509 extensions. # However, since that isn't implemented we'll just return a # packet so that we can force its decoding. return Packet __extnValue.type = ber.OCTET_STRING.type _fields_ = [ (OBJECT_IDENTIFIER, 'extnID'), (ber.BOOLEAN, 'critical'), (__extnValue, 'extnValue'), ] class ExtensionList(ber.SEQUENCE): def _object_(self): return dyn.clone(Packet, __object__=lambda self, _: Extension) class Extensions(ber.SEQUENCE): _fields_ = [ (ExtensionList, 'items'), ] class TBSCertificate(ber.SEQUENCE): _fields_ = [ (dyn.clone(Version_DEFAULT, type=(Context, 0)), 'version'), (CertificateSerialNumber, 'serialNumber'), (AlgorithmIdentifier, 'signature'), (Name, 'issuer'), (Validity, 'validity'), (Name, 'subject'), (SubjectPublicKeyInfo, 'subjectPublicKeyInfo'), (dyn.clone(UniqueIdentifier, type=(Context, 1)), 'issuerUniqueID'), (dyn.clone(UniqueIdentifier, type=(Context, 2)), 'subjectUniqueID'), (dyn.clone(Extensions, type=(Context, 3)), 'extensions'), ] class Certificate(ber.SEQUENCE): _fields_ = [ (TBSCertificate, 'tbsCertificate'), (AlgorithmIdentifier, 'signatureAlgorithm'), (ber.BIT_STRING, 'signatureValue'), ] class Packet(ber.Packet): Protocol = Protocol def __object__(self, _): return Certificate if __name__ == '__main__': import sys, operator, ptypes, protocol.x509 as x509 from ptypes import * fromhex = operator.methodcaller('decode', 'hex') if sys.version_info.major < 3 else bytes.fromhex data = '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' z = x509.Packet(source=ptypes.prov.bytes(fromhex(data))) z=z.l cert = z['value'][0] print(cert['value']['version']) x = z['value']['tbscertificate']['value']['extensions']['value']['items']['value'] k = z.at(0x99).getparent(ber.Element) print(z['value']['tbsCertificate']['value']['issuer']['value'][0]['value'][0]) print(z['value']['tbsCertificate']['value']['issuer']['value'][0]['value'][0]['value']['type'])

36.737913

1,367

0.663665

1,412

14,438

6.643768

0.229462

0.033259

0.008954

0.011193

0.165334

0.119817

0.072913

0.053939

0

0.127065

0.186729

14,438

392

1,368

36.831633

0.671862

0.023895

0

0.185759

0

0.282346

0.126331

0

1

0.000284

0.002551

0

1

0.043344

false

0.043344

0.01548

0.027864

0.340557

0.018576

0

null

0

1

0

null

1

0

2

524fcf50fc6494b5d18340e9fd29179b1787171f

1,073

py

Python

js_locations/migrations/0007_auto_20190709_2309.py

compoundpartners/js-locations

3c0f756b2cad3867a7eec30b3c707d69a2dbdbe2

[ "BSD-3-Clause" ]

null

js_locations/migrations/0007_auto_20190709_2309.py

compoundpartners/js-locations

3c0f756b2cad3867a7eec30b3c707d69a2dbdbe2

[ "BSD-3-Clause" ]

null

js_locations/migrations/0007_auto_20190709_2309.py

compoundpartners/js-locations

3c0f756b2cad3867a7eec30b3c707d69a2dbdbe2

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.22 on 2019-07-09 23:09 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('js_locations', '0006_location_featured_image'), ] operations = [ migrations.AddField( model_name='location', name='nofollow', field=models.BooleanField(default=False, verbose_name='nofollow'), ), migrations.AddField( model_name='location', name='noindex', field=models.BooleanField(default=False, verbose_name='noindex'), ), migrations.AddField( model_name='location', name='show_on_sitemap', field=models.BooleanField(default=True, verbose_name='Show on sitemap'), ), migrations.AddField( model_name='location', name='show_on_xml_sitemap', field=models.BooleanField(default=True, verbose_name='Show on xml sitemap'), ), ]

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0.171975

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0.328025

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0

null

0

1

0

1

0

null

0

2

525e7e9d9138bcf85bfae7005527016132ee3722

230

py

Python

setup.py

fbraza/dsti-adaltas-testing-todo

1324c3d0f281c2de52ef7ee5d7352b42a0af41ff

[ "MIT" ]

null

setup.py

fbraza/dsti-adaltas-testing-todo

1324c3d0f281c2de52ef7ee5d7352b42a0af41ff

[ "MIT" ]

null

setup.py

fbraza/dsti-adaltas-testing-todo

1324c3d0f281c2de52ef7ee5d7352b42a0af41ff

[ "MIT" ]

null

from setuptools import setup setup( name="clitodo", version="1.0", py_modules=["todo"], install_requires=["Click", "plyvel"], entry_points=""" [console_scripts] todo=clitodo:cli """ )

16.428571

41

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24

230

5.333333

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0.011834

0.265217

230

13

42

17.692308

0.745562

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0.369565

0

1

0

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0.090909

0

1

0

null

0

null

0

1

0

2

5260daa4a94ce19c135584869f06cda3d4113aa8

1,299

py

Python

sbvar/utils.py

racng/sbvar

0db38c2888c88b7c0a51d273e28ddb2955de23b1

[ "MIT" ]

null

sbvar/utils.py

racng/sbvar

0db38c2888c88b7c0a51d273e28ddb2955de23b1

[ "MIT" ]

null

sbvar/utils.py

racng/sbvar

0db38c2888c88b7c0a51d273e28ddb2955de23b1

[ "MIT" ]

null

import numpy as np def meshes_to_meshvector(mesh_list): """ Reshape 2D mesh into tidy meshvector. Parameters ---------- mesh_list: list of arrays List of n mesh grids with matching dimension (ixj). Returns ------- mesh_vector: np.array Reshaped 2D array with ixj rows and n columns. """ return np.array(mesh_list).reshape(len(mesh_list), -1).T def vector_to_mesh(vector, dim1, dim2): """ Reshape 1D vector to mesh form Parameters ---------- vector: np.array 1D vector to be reshaped Returns ------- mesh: np.array Reshaped 2D mesh with `dim1` columns and `dim2` rows. This is consistent with np.meshgrid where the first dimension varies on the column axis. """ return np.array(vector).reshape((dim2, dim1)) def meshvector_to_meshes(mesh_vector, dim1, dim2): """ Reshape meshvector into list of meshes. Parameters ---------- mesh_vector: np.array 2D array with dim1 x dim2 rows and n columns. Returns ------- mesh_list: list of np.array List of n mesh grids, each with `dim1` columns and `dim2` rows. """ n = mesh_vector.shape[1] return [vector_to_mesh(mesh_vector[:, i], dim1, dim2) for i in range(n)]

27.0625

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1,299

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0.268668

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0.801053

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null

0

null

0

1

0

1

0

2

5267cf080c5bf152d6a0ba91dd0ca34026c200f5

408

py

Python

Day 6/hurdle2.py

bhargavpydimalla/100-Days-of-Python

f840b93f8cc67e036dcd0ac7c76b82711f4b641c

[ "MIT" ]

null

Day 6/hurdle2.py

bhargavpydimalla/100-Days-of-Python

f840b93f8cc67e036dcd0ac7c76b82711f4b641c

[ "MIT" ]

null

Day 6/hurdle2.py

bhargavpydimalla/100-Days-of-Python

f840b93f8cc67e036dcd0ac7c76b82711f4b641c

[ "MIT" ]

null

''' Visit the link : https://reeborg.ca/reeborg.html?lang=en&mode=python&menu=worlds%2Fmenus%2Freeborg_intro_en.json&name=Hurdle%202&url=worlds%2Ftutorial_en%2Fhurdle2.json ''' def turn_right(): turn_left() turn_left() turn_left() def complete(): move() turn_left() move() turn_right() move() turn_right() move() turn_left() while not at_goal(): complete()

18.545455

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0.15625

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0.125

0.132813

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408

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null

0

1

0

2

528995dc6b5ee3e0e1d63b669ee8fbf4f580e54a

2,082

py

Python

apps/users/models.py

jhelison/challenge-weef-twitter

3b3b970d9edd435e780b9747baee944b935eda5c

[ "MIT" ]

null

apps/users/models.py

jhelison/challenge-weef-twitter

3b3b970d9edd435e780b9747baee944b935eda5c

[ "MIT" ]

null

apps/users/models.py

jhelison/challenge-weef-twitter

3b3b970d9edd435e780b9747baee944b935eda5c

[ "MIT" ]

null

from django.db import models from django.contrib.auth.models import ( BaseUserManager, AbstractBaseUser, PermissionsMixin, ) class AccountManager(BaseUserManager): def create_user(self, email, name=None, password=None): if not email: raise ValueError("Users must have an email address") user = self.model(email=self.normalize_email(email), name=name) user.set_password(password) user.save(using=self._db) return user def create_superuser(self, name, email, password): user = self.create_user( name=name, email=self.normalize_email(email), password=password ) user.is_superuser = True user.is_staff = True user.save(using=self._db) class UserFollowing(models.Model): user_id = models.ForeignKey( "User", related_name="following", on_delete=models.CASCADE ) following_user_id = models.ForeignKey( "User", related_name="followers", on_delete=models.CASCADE ) created_at = models.DateTimeField(auto_now_add=True) class Meta: ordering = ["-created_at"] unique_together = (("user_id", "following_user_id"),) def __str__(self): return f"{self.user_id.email} | {self.following_user_id.email}" class User(AbstractBaseUser, PermissionsMixin): email = models.EmailField(verbose_name="email", unique=True) name = models.CharField(max_length=50) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) is_active = models.BooleanField(default=True) is_superuser = models.BooleanField(default=False) is_staff = models.BooleanField(default=False) USERNAME_FIELD = "email" REQUIRED_FIELDS = ["name"] objects = AccountManager() def __str__(self): return str(f"{self.email} | {self.name}") def count_followers(self): return UserFollowing.objects.filter(user_id=self).count() def count_following(self): return UserFollowing.objects.filter(following_user_id=self).count()

30.173913

75

0.6878

248

2,082

5.560484

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2,082

68

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0

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0.117647

false

0.078431

0.039216

0.078431

0.588235

0

null

0

null

0

1

0

1

0

2

529096a59ae8266c47bcf7f7a53fd55aa10045cf

5,470

py

Python

pyews/endpoint/getusersettings.py

swimlane/pyews

61cc60226b347a881ce653acc7af276c26b37de9

[ "MIT" ]

26

2019-05-04T03:02:53.000Z

2022-02-04T14:56:30.000Z

pyews/endpoint/getusersettings.py

swimlane/pyews

61cc60226b347a881ce653acc7af276c26b37de9

[ "MIT" ]

14

2019-07-30T15:32:27.000Z

2022-02-10T20:49:44.000Z

pyews/endpoint/getusersettings.py

swimlane/pyews

61cc60226b347a881ce653acc7af276c26b37de9

[ "MIT" ]

12

2019-10-18T14:14:09.000Z

2021-11-15T09:29:30.000Z

from ..service.autodiscover import Autodiscover, Authentication class GetUserSettings(Autodiscover): """GetUserSettings EWS Autodiscover endpoint retrieves the authenticated or provided users settings """ RESULTS_KEY = 'UserSettings' def __init__(self, user=None): """Retrieves the user settings for the authenticated or provided user. Args: user (str, optional): A user to retrieve user settings for. Defaults to None. """ self.user = user def soap(self): if not self.user: self.user = Authentication.credentials[0] return self.A_NAMESPACE.GetUserSettingsRequestMessage( self.A_NAMESPACE.Request( self.A_NAMESPACE.Users( self.A_NAMESPACE.User( self.A_NAMESPACE.Mailbox(self.user) ) ), self.A_NAMESPACE.RequestedSettings( self.A_NAMESPACE.Setting('InternalEwsUrl'), self.A_NAMESPACE.Setting('ExternalEwsUrl'), self.A_NAMESPACE.Setting('UserDisplayName'), self.A_NAMESPACE.Setting('UserDN'), self.A_NAMESPACE.Setting('UserDeploymentId'), self.A_NAMESPACE.Setting('InternalMailboxServer'), self.A_NAMESPACE.Setting('MailboxDN'), self.A_NAMESPACE.Setting('ActiveDirectoryServer'), self.A_NAMESPACE.Setting('EwsSupportedSchemas'), self.A_NAMESPACE.Setting('InternalRpcClientServer'), self.A_NAMESPACE.Setting('InternalEcpUrl'), self.A_NAMESPACE.Setting('InternalEcpVoicemailUrl'), self.A_NAMESPACE.Setting('InternalEcpEmailSubscriptionsUrl'), self.A_NAMESPACE.Setting('InternalEcpTextMessagingUrl'), self.A_NAMESPACE.Setting('InternalEcpDeliveryReportUrl'), self.A_NAMESPACE.Setting('InternalEcpRetentionPolicyTagsUrl'), self.A_NAMESPACE.Setting('InternalEcpPublishingUrl'), self.A_NAMESPACE.Setting('InternalOABUrl'), self.A_NAMESPACE.Setting('InternalUMUrl'), self.A_NAMESPACE.Setting('InternalWebClientUrls'), self.A_NAMESPACE.Setting('PublicFolderServer'), self.A_NAMESPACE.Setting('ExternalMailboxServer'), self.A_NAMESPACE.Setting('ExternalMailboxServerRequiresSSL'), self.A_NAMESPACE.Setting('ExternalMailboxServerAuthenticationMethods'), self.A_NAMESPACE.Setting('EcpVoicemailUrlFragment'), self.A_NAMESPACE.Setting('EcpEmailSubscriptionsUrlFragment'), self.A_NAMESPACE.Setting('EcpTextMessagingUrlFragment'), self.A_NAMESPACE.Setting('EcpDeliveryReportUrlFragment'), self.A_NAMESPACE.Setting('EcpRetentionPolicyTagsUrlFragment'), self.A_NAMESPACE.Setting('ExternalEcpUrl'), self.A_NAMESPACE.Setting('EcpPublishingUrlFragment'), self.A_NAMESPACE.Setting('ExternalEcpVoicemailUrl'), self.A_NAMESPACE.Setting('ExternalEcpEmailSubscriptionsUrl'), self.A_NAMESPACE.Setting('ExternalEcpTextMessagingUrl'), self.A_NAMESPACE.Setting('ExternalEcpDeliveryReportUrl'), self.A_NAMESPACE.Setting('EcpEmailSubscriptionsUrlFragment'), self.A_NAMESPACE.Setting('ExternalEcpRetentionPolicyTagsUrl'), self.A_NAMESPACE.Setting('ExternalEcpPublishingUrl'), self.A_NAMESPACE.Setting('ExternalOABUrl'), self.A_NAMESPACE.Setting('ExternalUMUrl'), self.A_NAMESPACE.Setting('ExternalWebClientUrls'), self.A_NAMESPACE.Setting('CrossOrganizationSharingEnabled'), self.A_NAMESPACE.Setting('AlternateMailboxes'), self.A_NAMESPACE.Setting('CasVersion'), self.A_NAMESPACE.Setting('InternalPop3Connections'), self.A_NAMESPACE.Setting('ExternalPop3Connections'), self.A_NAMESPACE.Setting('InternalImap4Connections'), self.A_NAMESPACE.Setting('ExternalImap4Connections'), self.A_NAMESPACE.Setting('InternalSmtpConnections'), self.A_NAMESPACE.Setting('ExternalSmtpConnections'), self.A_NAMESPACE.Setting('InternalServerExclusiveConnect'), self.A_NAMESPACE.Setting('ExternalServerExclusiveConnect'), self.A_NAMESPACE.Setting('ExchangeRpcUrl'), self.A_NAMESPACE.Setting('ShowGalAsDefaultView'), self.A_NAMESPACE.Setting('AutoDiscoverSMTPAddress'), self.A_NAMESPACE.Setting('InteropExternalEwsUrl'), self.A_NAMESPACE.Setting('ExternalEwsVersion'), self.A_NAMESPACE.Setting('InteropExternalEwsVersion'), self.A_NAMESPACE.Setting('MobileMailboxPolicyInterop'), self.A_NAMESPACE.Setting('GroupingInformation'), self.A_NAMESPACE.Setting('UserMSOnline'), self.A_NAMESPACE.Setting('MapiHttpEnabled') ) ), )

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0.292653

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0.045496

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0.001304

0.299269

5,470

94

92

58.191489

0.847378

0.046252

0

0.049383

0

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0.205143

0

1

0.024691

false

0

0.012346

0

0.074074

0

null

0

1

0

null

0

2

5291f1a67e8484b315c8a4244c2a08dbb0a15c56

283

py

Python

app/start.py

somkiatlee/myIoT

95fa3e721f31b7f7489b390ac53705a552979621

[ "MIT" ]

null

app/start.py

somkiatlee/myIoT

95fa3e721f31b7f7489b390ac53705a552979621

[ "MIT" ]

1

2021-05-04T03:15:37.000Z

app/start.py

somkiatlee/myIoT

95fa3e721f31b7f7489b390ac53705a552979621

[ "MIT" ]

null

from machine import Pin from time import sleep print('Version 2 installed using USB V2') led = Pin(2, Pin.OUT) while True: led.value(1) sleep(0.4) led.value(0) sleep(0.4) led.value(1) sleep(0.4) led.value(0) sleep(0.4) led.value(1) sleep(2)

15.722222

41

0.607774

51

283

3.372549

0.411765

0.232558

0.162791

0.232558

0.453488

0

0.080569

0.254417

283

18

42

15.722222

0.734597

0

0.6

0

0.112676

0

1

0

false

0

0.133333

0

0.133333

0.066667

0

null

1

0

1

0

null

0

2

bfe3b77de51b76cba7bb75f120490bdb308fb93e

181

py

Python

delog.py

honglan3/dji-sdk-dji-ftpd

d00b1a8c7189f3534dd63a58e4490cec18c67b45

[ "Unlicense" ]

23

2018-08-07T01:13:16.000Z

2021-02-25T00:42:37.000Z

delog.py

honglan3/dji-sdk-dji-ftpd

d00b1a8c7189f3534dd63a58e4490cec18c67b45

[ "Unlicense" ]

3

2018-08-03T12:26:02.000Z

2018-09-03T12:01:54.000Z

delog.py

honglan3/dji-sdk-dji-ftpd

d00b1a8c7189f3534dd63a58e4490cec18c67b45

[ "Unlicense" ]

3

2018-08-02T20:29:40.000Z

2018-08-13T14:53:51.000Z

#!/usr/bin/env python import sys import re if __name__ == '__main__': regex = re.compile('\x1b\[[0-9]*;[0-9]*H') for line in sys.stdin: print(regex.sub('', line).strip())

18.1

44

0.61326

30

181

3.433333

0.766667

0.038835

0

0.032895

0.160221

181

9

45

20.111111

0.644737

0.110497

0

0.175

0

1

0

false

0

0.333333

0

0.333333

0.166667

0

null

0

1

0

null

0

1

0

2

bfec7dee88c1cd8b2dfb30daf42647bac897d386

2,693

py

Python

OBD2_HACK/lib/obd/protocols/__init__.py

educampos28/OBD2_HACK

03dfb80f38e867a7447eceacc316ebfa8ead3a32

[ "MIT" ]

23

2018-06-04T22:26:00.000Z

2022-03-03T10:31:07.000Z

OBD2_HACK/lib/obd/protocols/__init__.py

educampos28/OBD2_HACK

03dfb80f38e867a7447eceacc316ebfa8ead3a32

[ "MIT" ]

null

OBD2_HACK/lib/obd/protocols/__init__.py

educampos28/OBD2_HACK

03dfb80f38e867a7447eceacc316ebfa8ead3a32

[ "MIT" ]

10

2018-12-10T16:17:34.000Z

2021-12-20T10:09:18.000Z

# -*- coding: utf-8 -*- ######################################################################## # # # python-OBD: A python OBD-II serial module derived from pyobd # # # # Copyright 2004 Donour Sizemore (donour@uchicago.edu) # # Copyright 2009 Secons Ltd. (www.obdtester.com) # # Copyright 2009 Peter J. Creath # # Copyright 2016 Brendan Whitfield (brendan-w.com) # # # ######################################################################## # # # protocols/__init__.py # # # # This file is part of python-OBD (a derivative of pyOBD) # # # # python-OBD is free software: you can redistribute it and/or modify # # it under the terms of the GNU General Public License as published by # # the Free Software Foundation, either version 2 of the License, or # # (at your option) any later version. # # # # python-OBD is distributed in the hope that it will be useful, # # but WITHOUT ANY WARRANTY; without even the implied warranty of # # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # # GNU General Public License for more details. # # # # You should have received a copy of the GNU General Public License # # along with python-OBD. If not, see <http://www.gnu.org/licenses/>. # # # ######################################################################## from .protocol import ECU from .protocol_unknown import UnknownProtocol from .protocol_legacy import SAE_J1850_PWM, \ SAE_J1850_VPW, \ ISO_9141_2, \ ISO_14230_4_5baud, \ ISO_14230_4_fast from .protocol_can import ISO_15765_4_11bit_500k, \ ISO_15765_4_29bit_500k, \ ISO_15765_4_11bit_250k, \ ISO_15765_4_29bit_250k, \ SAE_J1939

56.104167

72

0.379502

214

2,693

4.607477

0.565421

0.054767

0.036511

0.057809

0.083164

0.056795

0

0.067301

0.492388

2,693

47

73

57.297872

0.653987

0.656888

0

1

0

true

0

0.333333

0

0.333333

0

null

0

null

0

1

0

1

0

2

bfeeb9cce01b975064d94a00a5fb18acd7106402

18,826

py

Python

library/_builtins.py

creativemindplus/skybison

d1740e08d8de85a0a56b650675717da67de171a0

[ "CNRI-Python-GPL-Compatible" ]

278

2021-08-31T00:46:51.000Z

2022-02-13T19:43:28.000Z

library/_builtins.py

creativemindplus/skybison

d1740e08d8de85a0a56b650675717da67de171a0

[ "CNRI-Python-GPL-Compatible" ]

9

2021-11-05T22:28:43.000Z

2021-11-23T08:39:04.000Z

library/_builtins.py

tekknolagi/skybison

bea8fc2af0a70e7203b4c19f36c14a745512a335

[ "CNRI-Python-GPL-Compatible" ]

12

2021-08-31T07:49:54.000Z

2021-10-08T01:09:01.000Z

#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. (http://www.facebook.com) # $builtin-init-module$ # These values are injected by our boot process. flake8 has no knowledge about # their definitions and will complain without these circular assignments. _Unbound = _Unbound # noqa: F821 def _ContextVar_guard(obj): _builtin() def _Token_guard(obj): _builtin() def _builtin(): """This function acts as a marker to `freeze_modules.py` it should never actually be called.""" _unimplemented() def _address(c): _builtin() def _anyset_check(obj): _builtin() def _async_generator_finalizer(obj): _builtin() def _async_generator_guard(obj): _builtin() def _async_generator_op_iter_get_state(obj): _builtin() def _base_exception_cause(self): _builtin() def _base_exception_context(self): _builtin() def _base_exception_set_cause(self, value): _builtin() def _base_exception_set_context(self, value): _builtin() def _base_exception_set_traceback(self, value): _builtin() def _base_exception_traceback(self): _builtin() def _bool_check(self): "$intrinsic$" _builtin() def _bool_guard(self): "$intrinsic$" _builtin() def _bound_method(fn, owner): _builtin() def _bound_method_guard(obj): _builtin() def _builtin_type(name): """Returns the builtin type with name `name`. This even works before the type is initialized via a `class` statement and is intended to be used when a builtin type definition requires to reference itself.""" _builtin() def _byte_guard(obj): _builtin() def _bytearray_append(obj, item): _builtin() def _bytearray_check(obj): "$intrinsic$" _builtin() def _bytearray_clear(obj): _builtin() def _bytearray_contains(obj, key): _builtin() def _bytearray_contains_byteslike(obj, key): _builtin() def _bytearray_copy(obj): _builtin() def _bytearray_delitem(self, key): _builtin() def _bytearray_delslice(self, start, stop, step): _builtin() def _bytearray_getitem(self, key): _builtin() def _bytearray_getslice(self, start, stop, step): _builtin() def _bytearray_guard(obj): "$intrinsic$" _builtin() def _bytearray_join(self, iterable): _builtin() def _bytearray_len(self): "$intrinsic$" _builtin() def _bytearray_ljust(self, width, fillbyte): _builtin() def _bytearray_rjust(self, width, fillbyte): _builtin() def _bytearray_setitem(self, key, value): _builtin() def _bytearray_setslice(self, start, stop, step, value): _builtin() def _bytes_check(obj): "$intrinsic$" _builtin() def _bytes_contains(obj, key): _builtin() def _bytes_decode(obj, encoding): _builtin() def _bytes_decode_ascii(obj): _builtin() def _bytes_decode_utf_8(obj): _builtin() def _bytes_from_bytes(cls, value): _builtin() def _bytes_from_ints(source): _builtin() def _bytes_getitem(self, index): _builtin() def _bytes_getslice(self, start, stop, step): _builtin() def _bytes_guard(obj): "$intrinsic$" _builtin() def _bytes_join(self, iterable): _builtin() def _bytes_len(self): "$intrinsic$" _builtin() def _bytes_ljust(self, width, fillbyte): _builtin() def _bytes_maketrans(frm, to): _builtin() def _bytes_repeat(self, count): _builtin() def _bytes_replace(self, old, new, count): _builtin() def _bytes_split(self, sep, maxsplit): _builtin() def _bytes_split_whitespace(self, maxsplit): _builtin() def _byteslike_check(obj): "$intrinsic$" _builtin() def _byteslike_compare_digest(a, b): _builtin() def _byteslike_count(self, sub, start, end): _builtin() def _byteslike_endswith(self, suffix, start, end): _builtin() def _byteslike_find_byteslike(self, sub, start, end): _builtin() def _byteslike_find_int(self, sub, start, end): _builtin() def _byteslike_guard(obj): "$intrinsic$" _builtin() def _byteslike_rfind_byteslike(self, sub, start, end): _builtin() def _byteslike_rfind_int(self, sub, start, end): _builtin() def _byteslike_startswith(self, prefix, start, end): _builtin() def _caller_function(): _builtin() def _caller_locals(): _builtin() def _classmethod(function): _builtin() def _classmethod_isabstract(self): _builtin() def _code_check(obj): _builtin() def _code_guard(c): _builtin() def _code_new( cls, argcount, posonlyargcount, kwonlyargcount, nlocals, stacksize, flags, code, consts, names, varnames, filename, name, firstlineno, lnotab, freevars, cellvars, ): _builtin() def _code_set_filename(code, filename): _builtin() def _complex_check(obj): "$intrinsic$" _builtin() def _complex_checkexact(obj): _builtin() def _complex_imag(c): _builtin() def _complex_new(cls, imag, real): _builtin() def _complex_real(c): _builtin() def _compute_mro(type): _builtin() def _deque_guard(obj): "$intrinsic$" _builtin() def _dict_check(obj): "$intrinsic$" _builtin() def _dict_check_exact(obj): "$intrinsic$" _builtin() # TODO(T56301601): Move this into a type-specific file. def _dict_get(self, key, default=None): _builtin() def _dict_guard(obj): "$intrinsic$" _builtin() def _dict_items_guard(self): _builtin() def _dict_keys_guard(self): _builtin() def _dict_len(self): "$intrinsic$" _builtin() # TODO(T56301601): Move this into a type-specific file. def _dict_setitem(self, key, value): _builtin() # TODO(T56301601): Move this into a type-specific file. def _dict_update(self, other, kwargs): _builtin() def _divmod(number, divisor): _builtin() def _exec(code, module, implicit_globals): _builtin() def _float_check(obj): "$intrinsic$" _builtin() def _float_check_exact(obj): "$intrinsic$" _builtin() def _float_divmod(number, divisor): _builtin() def _float_format( value, format_code, precision, skip_sign, add_dot_0, use_alt_formatting ): _builtin() def _float_guard(obj): "$intrinsic$" _builtin() def _float_new_from_byteslike(cls, obj): _builtin() def _float_new_from_float(cls, obj): _builtin() def _float_new_from_str(cls, obj): _builtin() def _float_signbit(value): _builtin() def _frozenset_check(obj): "$intrinsic$" _builtin() def _frozenset_guard(obj): "$intrinsic$" _builtin() def _function_annotations(obj): _builtin() def _function_closure(obj): _builtin() def _function_defaults(obj): _builtin() def _function_globals(obj): _builtin() def _function_guard(obj): "$intrinsic$" _builtin() def _function_kwdefaults(obj): _builtin() def _function_lineno(function, pc): _builtin() def _function_new(self, code, mod, name, defaults, closure): _builtin() def _function_set_annotations(obj, annotations): _builtin() def _function_set_defaults(obj, defaults): _builtin() def _function_set_kwdefaults(obj, kwdefaults): _builtin() def _gc(): _builtin() def _get_asyncgen_hooks(): _builtin() def _get_member_byte(addr): _builtin() def _get_member_char(addr): _builtin() def _get_member_double(addr): _builtin() def _get_member_float(addr): _builtin() def _get_member_int(addr): _builtin() def _get_member_long(addr): _builtin() def _get_member_pyobject(addr, name): _builtin() def _get_member_short(addr): _builtin() def _get_member_string(addr): _builtin() def _get_member_ubyte(addr): _builtin() def _get_member_uint(addr): _builtin() def _get_member_ulong(addr): _builtin() def _get_member_ushort(addr): _builtin() def _heap_dump(filename): _builtin() def _instance_dunder_dict_set(obj, dict): _builtin() def _instance_delattr(obj, name): _builtin() def _instance_getattr(obj, name): _builtin() def _instance_guard(obj): _builtin() def _instance_overflow_dict(obj): _builtin() def _instance_setattr(obj, name, value): _builtin() def _instancemethod_func(obj): _builtin() def _int_check(obj): "$intrinsic$" _builtin() def _int_check_exact(obj): "$intrinsic$" _builtin() def _int_ctor(cls, x=_Unbound, base=_Unbound): _builtin() def _int_ctor_obj(cls, x): _builtin() def _int_from_bytes(cls, bytes, byteorder_big, signed): _builtin() def _int_guard(obj): "$intrinsic$" _builtin() def _int_new_from_byteslike(cls, x, base): _builtin() def _int_new_from_int(cls, value): _builtin() def _int_new_from_str(cls, x, base): _builtin() def _jit(func): """Compile the function's body to native code. Return the function. Useful as a decorator: @_jit def foo: pass """ _builtin() def _jit_fromlist(funcs): """Compile a list of function objects to native code.""" for func in funcs: _jit(func) def _jit_fromtype(type): _type_guard(type) for item in type.__dict__.values(): _jit(item) def _jit_iscompiled(func): """Return True if the given function is compiled and False otherwise.""" _builtin() def _list_append(self, item): "$intrinsic$" _builtin() def _list_check(obj): "$intrinsic$" _builtin() def _list_check_exact(obj): "$intrinsic$" _builtin() def _list_ctor(cls, iterable=()): _builtin() def _list_delitem(self, key): _builtin() def _list_delslice(self, start, stop, step): _builtin() def _list_extend(self, other): _builtin() def _list_getitem(self, key): "$intrinsic$" _builtin() def _list_getslice(self, start, stop, step): _builtin() def _list_guard(obj): "$intrinsic$" _builtin() def _list_len(self): "$intrinsic$" _builtin() def _list_new(size, fill=None): _builtin() def _list_setitem(self, key, value): "$intrinsic$" _builtin() def _list_setslice(self, start, stop, step, value): _builtin() def _list_sort(list): _builtin() def _list_sort_by_key(list): _builtin() def _list_swap(list, i, j): _builtin() def _lt(a, b): "Same as a < b." return a < b def _lt_key(obj, other): return _tuple_getitem(obj, 0) < _tuple_getitem(other, 0) def _mappingproxy_guard(obj): _builtin() def _mappingproxy_mapping(obj): _builtin() def _mappingproxy_set_mapping(obj, mapping): _builtin() def _memoryview_check(obj): _builtin() def _memoryview_getitem(obj, key): _builtin() def _memoryview_getslice(self, start, stop, step): _builtin() def _memoryview_guard(obj): "$intrinsic$" _builtin() def _memoryview_itemsize(obj): _builtin() def _memoryview_nbytes(self): _builtin() def _memoryview_setitem(self, key, value): _builtin() def _memoryview_setslice(self, start, stop, step, value): _builtin() def _memoryview_start(self): _builtin() def _mmap_check(obj): _builtin() def _module_dir(module): _builtin() def _module_proxy(module): _builtin() def _module_proxy_check(obj): _builtin() def _module_proxy_guard(module): _builtin() def _module_proxy_keys(self): _builtin() def _module_proxy_setitem(self, key, value): _builtin() def _module_proxy_values(self): _builtin() def _iter(self): _builtin() def _object_class_set(obj, name): _builtin() def _object_keys(self): _builtin() def _object_type_getattr(obj, name): """Looks up the named attribute on the object's type, resolving descriptors. Behaves like _PyObject_LookupSpecial.""" _builtin() def _object_type_hasattr(obj, name): _builtin() def _os_write(fd, buf): _builtin() def _os_error_subclass_from_errno(errno): _builtin() def _profiler_install(new_thread_func, call_func, return_func): _builtin() def _profiler_exclude(callable): """Call `callable` and disable opcode counting in the current thread for the duration of the call.""" _builtin() def _property(fget=None, fset=None, fdel=None, doc=None): """Has the same effect as property(), but can be used for bootstrapping.""" _builtin() def _property_isabstract(self): _builtin() def _pyobject_offset(instance, offset): _builtin() def _range_check(obj): "$intrinsic$" _builtin() def _range_guard(obj): "$intrinsic$" _builtin() def _range_len(self): _builtin() def _readline(prompt): _builtin() def _repr_enter(obj): _builtin() def _repr_leave(obj): _builtin() def _seq_index(obj): "$intrinsic$" _builtin() def _seq_iterable(obj): "$intrinsic$" _builtin() def _seq_set_index(obj, index): "$intrinsic$" _builtin() def _seq_set_iterable(obj, iterable): "$intrinsic$" _builtin() def _set_check(obj): "$intrinsic$" _builtin() def _set_function_flag_iterable_coroutine(code): _builtin() def _set_guard(obj): "$intrinsic$" _builtin() def _set_len(self): "$intrinsic$" _builtin() def _set_member_double(addr, value): _builtin() def _set_member_float(addr, value): _builtin() def _set_member_integral(addr, value, num_bytes): _builtin() def _set_member_integral_unsigned(addr, value, num_bytes): _builtin() def _set_member_pyobject(addr, value): _builtin() def _slice_check(obj): "$intrinsic$" _builtin() def _slice_guard(obj): "$intrinsic$" _builtin() def _slice_start(start, step, length): _builtin() def _staticmethod(func): _builtin() def _slice_start_long(start, step, length): _builtin() def _slice_step(step): _builtin() def _slice_step_long(step): _builtin() def _slice_stop(stop, step, length): _builtin() def _slice_stop_long(stop, step, length): _builtin() def _staticmethod_isabstract(self): _builtin() def _stop_iteration_ctor(cls, *args): _builtin() def _str_array_clear(self): _builtin() def _str_array_ctor(cls, source=_Unbound): _builtin() def _str_array_iadd(self, other): _builtin() def _str_center(self, width, fillchar): _builtin() def _str_check(obj): "$intrinsic$" _builtin() def _str_check_exact(obj): "$intrinsic$" _builtin() def _str_compare_digest(a, b): _builtin() def _str_count(self, sub, start, end): _builtin() def _str_ctor(cls, obj=_Unbound, encoding=_Unbound, errors=_Unbound): "$intrinsic$" _builtin() def _str_ctor_obj(cls, obj): _builtin() def _str_encode(self, encoding): _builtin() def _str_encode_ascii(self): _builtin() def _str_endswith(self, suffix, start, end): _builtin() def _str_getitem(self, key): _builtin() def _str_getslice(self, start, stop, step): _builtin() def _str_guard(obj): "$intrinsic$" _builtin() def _str_ischr(obj): _builtin() def _str_join(sep, iterable): _builtin() def _str_ljust(self, width, fillchar): _builtin() def _str_escape_non_ascii(s): _builtin() def _str_find(self, sub, start, end): _builtin() def _str_from_str(cls, value): _builtin() def _str_len(self): "$intrinsic$" _builtin() def _str_mod_fast_path(self, other): _builtin() def _str_partition(self, sep): _builtin() def _str_replace(self, old, newstr, count): _builtin() def _str_rfind(self, sub, start, end): _builtin() def _str_rjust(self, width, fillchar): _builtin() def _str_rpartition(self, sep): _builtin() def _str_split(self, sep, maxsplit): _builtin() def _str_splitlines(self, keepends): _builtin() def _str_startswith(self, prefix, start, end): _builtin() def _str_translate(obj, table): _builtin() def _structseq_getitem(structseq, index): _builtin() def _structseq_new_type(name, field_names, is_heaptype=True, num_in_sequence=_Unbound): _builtin() def _structseq_setitem(structseq, index, value): _builtin() def _super(cls): _builtin() def _super_ctor(cls, type=_Unbound, type_or_obj=_Unbound): _builtin() def _traceback_frame_get(self): _builtin() def _traceback_lineno_get(self): _builtin() def _traceback_next_get(self): _builtin() def _traceback_next_set(self, new_next): _builtin() def _tuple_check(obj): "$intrinsic$" _builtin() def _tuple_check_exact(obj): "$intrinsic$" _builtin() def _tuple_getitem(self, index): "$intrinsic$" _builtin() def _tuple_getslice(self, start, stop, step): _builtin() def _tuple_guard(obj): "$intrinsic$" _builtin() def _tuple_len(self): "$intrinsic$" _builtin() def _tuple_new(cls, old_tuple): _builtin() def _type(obj): "$intrinsic$" _builtin() def _type_ctor(cls, obj): _builtin() def _type_abstractmethods_del(self): _builtin() def _type_abstractmethods_get(self): _builtin() def _type_abstractmethods_set(self, value): _builtin() def _type_bases_del(self): _builtin() def _type_bases_get(self): _builtin() def _type_bases_set(self, value): _builtin() def _type_check(obj): "$intrinsic$" _builtin() def _type_check_exact(obj): "$intrinsic$" _builtin() def _type_dunder_call(self, *args, **kwargs): _builtin() def _type_guard(obj): "$intrinsic$" _builtin() def _type_issubclass(subclass, superclass): "$intrinsic$" _builtin() def _type_module_get(self): _builtin() def _type_module_set(self, value): _builtin() def _type_name_get(self): _builtin() def _type_name_set(self, value): _builtin() def _type_proxy(type_obj): _builtin() def _type_new(cls, name, bases, dict, is_heaptype): _builtin() def _type_proxy_check(obj): _builtin() def _type_proxy_get(self, key, default): _builtin() def _type_proxy_guard(obj): _builtin() def _type_proxy_keys(self): _builtin() def _type_proxy_len(self): _builtin() def _type_proxy_values(self): _builtin() def _type_qualname_get(self): _builtin() def _type_qualname_set(self, value): _builtin() def _type_subclass_guard(subclass, superclass): "$intrinsic$" _builtin() def _unimplemented(): """Prints a message and a stacktrace, and stops the program execution.""" _builtin() def _warn(message, category=None, stacklevel=1, source=None): """Calls warnings.warn.""" _builtin() def _weakref_callback(self): _builtin() def _weakref_check(self): "$intrinsic$" _builtin() def _weakref_guard(self): "$intrinsic$" _builtin() def _weakref_referent(self): _builtin() maxunicode = maxunicode # noqa: F821

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null

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bff76153095890d110b5a4fa0482b74c8d4c65ac

412

py

Python

geopoll/settings.py

callowayproject/django-geopoll

13e84f4d68b5f963bccbb3ca8f2530d1adaee0f9

[ "Apache-2.0" ]

1

2020-05-19T07:35:35.000Z

geopoll/settings.py

callowayproject/django-geopoll

13e84f4d68b5f963bccbb3ca8f2530d1adaee0f9

[ "Apache-2.0" ]

null

geopoll/settings.py

callowayproject/django-geopoll

13e84f4d68b5f963bccbb3ca8f2530d1adaee0f9

[ "Apache-2.0" ]

null

from django.conf import settings from django.db.models import get_model DEFAULT_SETTINGS = { 'MULTIPLE_SITES': False, 'USER_MODEL': 'auth.User', 'URL_MONTH_FORMAT': r'%b', } DEFAULT_SETTINGS.update(getattr(settings, GEOPOLL_SETTINGS, {})) MULTIPLE_SITES = DEFAULT_SETTINGS['MULTIPLE_SITES'] USER_MODEL = get_model(DEFAULT_SETTINGS['USER_MODEL']) MONTH_FORMAT = DEFAULT_SETTINGS['URL_MONTH_FORMAT']

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87110df7b32b5a645d8053aa9955685b80f6cef5

4,849

py

Python

podcast-backend/src/app/pcasts/__init__.py

cuappdev/archives

061d0f9cccf278363ffaeb27fc655743b1052ae5

[ "MIT" ]

null

podcast-backend/src/app/pcasts/__init__.py

cuappdev/archives

061d0f9cccf278363ffaeb27fc655743b1052ae5

[ "MIT" ]

null

podcast-backend/src/app/pcasts/__init__.py

cuappdev/archives

061d0f9cccf278363ffaeb27fc655743b1052ae5

[ "MIT" ]

null

from flask import Blueprint from app import * # PCasts Blueprint pcasts = Blueprint('pcasts', __name__, url_prefix='/api/v1') # Import all models from app.pcasts.models._all import * # Import all controllers from app.pcasts.controllers.google_sign_in_controller import * from app.pcasts.controllers.get_me_controller import * from app.pcasts.controllers.series_subscriptions_controller import * from app.pcasts.controllers.get_user_subscriptions_controller import * from app.pcasts.controllers.create_delete_bookmark_controller import * from app.pcasts.controllers.get_bookmarks_controller import * from app.pcasts.controllers.get_create_delete_recommendation_controller import * from app.pcasts.controllers.get_user_recommendations_controller import * from app.pcasts.controllers.create_delete_following_controller import * from app.pcasts.controllers.get_user_followers_controller import * from app.pcasts.controllers.get_user_followings_controller import * from app.pcasts.controllers.delete_listening_history_controller import * from app.pcasts.controllers.listening_history_controller import * from app.pcasts.controllers.clear_listening_history_controller import * from app.pcasts.controllers.get_feed_controller import * from app.pcasts.controllers.update_session_controller import * from app.pcasts.controllers.sign_out_controller import * from app.pcasts.controllers.search_episode_controller import * from app.pcasts.controllers.search_series_controller import * from app.pcasts.controllers.search_users_controller import * from app.pcasts.controllers.search_all_controller import * from app.pcasts.controllers.get_episodes_controller import * from app.pcasts.controllers.series_controller import * from app.pcasts.controllers.get_user_by_id_controller import * from app.pcasts.controllers.update_username_controller import * from app.pcasts.controllers.discover_series_controller import * from app.pcasts.controllers.discover_episodes_controller import * from app.pcasts.controllers.facebook_sign_in_controller import * from app.pcasts.controllers.merge_account_controller import * from app.pcasts.controllers.search_itunes_controller import * from app.pcasts.controllers.get_facebook_friends import * from app.pcasts.controllers.discover_series_for_topic_controller import * from app.pcasts.controllers.discover_series_for_user_controller import * from app.pcasts.controllers.discover_episodes_for_topic_controller import * from app.pcasts.controllers.discover_episodes_for_user_controller import * from app.pcasts.controllers.search_facebook_friends_controller import * from app.pcasts.controllers.get_topics_controller import * from app.pcasts.controllers.get_shares_controller import * from app.pcasts.controllers.create_delete_share_controller import * from app.pcasts.controllers.listening_history_dismiss_controller import * from app.pcasts.controllers.ignore_facebook_friends_controller import * from app.pcasts.controllers.subscribe_new_episode_controller import * from app.pcasts.controllers.get_new_episode_notification_controller import * from app.pcasts.controllers.update_new_episode_has_read_controller import * controllers = [ GoogleSignInController(), GetMeController(), SeriesSubscriptionsController(), GetUserSubscriptionsController(), CreateDeleteBookmarkController(), GetBookmarksController(), GetCreateDeleteRecommendationController(), GetUserRecommendationsController(), CreateDeleteFollowingController(), GetUserFollowersController(), GetUserFollowingsController(), DeleteListeningHistoryController(), ListeningHistoryController(), ClearListeningHistoryController(), GetFeedController(), UpdateSessionController(), SignOutController(), SearchEpisodeController(), SearchSeriesController(), SearchUsersController(), SearchAllController(), GetEpisodesController(), SeriesController(), GetUserByIdController(), UpdateUsernameController(), DiscoverSeriesController(), DiscoverEpisodesController(), FacebookSignInController(), MergeAccountController(), SearchiTunesController(), GetFacebookFriends(), DiscoverSeriesForTopicController(), DiscoverSeriesForUserController(), DiscoverEpisodesForTopicController(), DiscoverEpisodesForUserController(), SearchFacebookFriends(), GetTopicsController(), GetSharesController(), CreateDeleteShareController(), ListeningHistoryDismissController(), IgnoreFacebookFriendsController(), SubscribeNewEpisodeController(), GetNewEpisodeNotificationController(), UpdateNewEpisodeHasReadController(), ] # Setup all controllers for controller in controllers: pcasts.add_url_rule( controller.get_path(), controller.get_name(), controller.response, methods=controller.get_methods() )

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0.553301

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0.310044

0.04598

0

0.000229

0.098165

4,849

111

81

43.684685

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0.016292

0

0.002728

0

1

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false

0

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0

0.465347

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0

null

0

1

0

null

0

1

0

2

871c4c6416472ba9266b92945dd4db0eed61a195

1,101

py

Python

cryptoanalysis/cipher/caesar.py

CermakM/cryptoanalysis

02c157daa046915b46451eeec3bde93860082abc

[ "MIT" ]

null

cryptoanalysis/cipher/caesar.py

CermakM/cryptoanalysis

02c157daa046915b46451eeec3bde93860082abc

[ "MIT" ]

null

cryptoanalysis/cipher/caesar.py

CermakM/cryptoanalysis

02c157daa046915b46451eeec3bde93860082abc

[ "MIT" ]

null

""" Python API for encoding and decoding a stream with a given key using Caesar cipher Makes use of Vigener cipher - Caesar is just a simplification to key of lenght 1 """ import cryptoanalysis.cipher.vigener as vigener def encode(string: str, key: str) -> str: """ Encode string using the Caesar cipher with the given key :param string: string to be encoded :param key: letter to be used as given shift :return: encoded string :raises: ValueError if key len is invalid """ if len(key) > 1: raise ValueError("[ERROR] Length of a key may not exceed 1 for Caesar cipher") return vigener.encode(string, key) def decode(cipher: str, key: str) -> str: """ Decode string using the Caesar cipher with the given key :param cipher: ciphered text stream to be decoded :param key: letter to be used as given shift :return: decoded string :raises: ValueError if key len is invalid """ if len(key) > 1: raise ValueError("[ERROR] Length of a key may not exceed 1 for Caesar cipher") return vigener.decode(cipher, key)

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0

null

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null

0

1

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1

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2

871fdd8a110c57802360f6844430070e0d89001f

1,436

py

Python

lib/django-1.5/tests/regressiontests/queryset_pickle/models.py

enpi/Test

5fb2055c7cfd4cc91ff97471c529b041f21abeb6

[ "Apache-2.0" ]

3

2019-01-28T03:57:20.000Z

2020-02-20T01:37:33.000Z

lib/django-1.5/tests/regressiontests/queryset_pickle/models.py

enpi/Test

5fb2055c7cfd4cc91ff97471c529b041f21abeb6

[ "Apache-2.0" ]

1

2021-09-15T12:25:30.000Z

lib/django-1.5/tests/regressiontests/queryset_pickle/models.py

enpi/Test

5fb2055c7cfd4cc91ff97471c529b041f21abeb6

[ "Apache-2.0" ]

3

2019-01-18T11:33:56.000Z

2020-01-05T10:44:05.000Z

from __future__ import absolute_import import datetime from django.db import models from django.utils.translation import ugettext_lazy as _ def standalone_number(self): return 1 class Numbers(object): @staticmethod def get_static_number(self): return 2 @classmethod def get_class_number(self): return 3 def get_member_number(self): return 4 nn = Numbers() class Group(models.Model): name = models.CharField(_('name'), max_length=100) class Event(models.Model): group = models.ForeignKey(Group) class Happening(models.Model): when = models.DateTimeField(blank=True, default=datetime.datetime.now) name = models.CharField(blank=True, max_length=100, default=lambda:"test") number1 = models.IntegerField(blank=True, default=standalone_number) number2 = models.IntegerField(blank=True, default=Numbers.get_static_number) number3 = models.IntegerField(blank=True, default=Numbers.get_class_number) number4 = models.IntegerField(blank=True, default=nn.get_member_number) class Person(models.Model): name = models.CharField(max_length=200) class SocialProfile(models.Model): person = models.ForeignKey(Person) friends = models.ManyToManyField('self') class Post(models.Model): post_date = models.DateTimeField(default=datetime.datetime.now) class Material(models.Model): post = models.ForeignKey(Post, related_name='materials')

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872fd7e3c6cbd1ca7524bbde6c5bb81e7d12765b

751

py

Python

src/model.py

Lukasz1928/sentence-analogies

3168f0e41bde941ccf311d49d3d0024b2293d65f

[ "MIT" ]

null

src/model.py

Lukasz1928/sentence-analogies

3168f0e41bde941ccf311d49d3d0024b2293d65f

[ "MIT" ]

null

src/model.py

Lukasz1928/sentence-analogies

3168f0e41bde941ccf311d49d3d0024b2293d65f

[ "MIT" ]

null

from gensim.models import KeyedVectors class WordVectorModel: def __init__(self): self.model = KeyedVectors.load_word2vec_format('resources/cc.en.300.vec', binary=False) def get_word_vector(self, word): return self.model[word] def get_sentence_vectors(self, sentence): return [self.get_word_vector(w) for w in sentence] def predict_word(self, s1, s2, s3): s1 = self.get_sentence_vectors(s1) s2 = self.get_sentence_vectors(s2) s3 = self.get_sentence_vectors(s3) s1_sum = sum(s1) s2_sum = sum(s2) s3_sum = sum(s3) predicted_word_vector = [s2_sum - s1_sum + s3_sum] ms = self.model.most_similar(predicted_word_vector, topn=3) return ms

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