xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

0c236bda3f95e3ddc5296e36748b8192b8c4cba7

243

py

Python

python/itertools/__init__.py

mxdzi/hackerrank

4455f73e4479a4204b2e1167253f6a02351aa5b7

[ "MIT" ]

null

python/itertools/__init__.py

mxdzi/hackerrank

4455f73e4479a4204b2e1167253f6a02351aa5b7

[ "MIT" ]

null

python/itertools/__init__.py

mxdzi/hackerrank

4455f73e4479a4204b2e1167253f6a02351aa5b7

[ "MIT" ]

null

__all__ = [ 'q1_itertools_product', 'q2_itertools_permutations', 'q3_itertools_combinations', 'q4_itertools_combinations_with_replacement', 'q5_compress_the_string', 'q6_iterables_and_iterators', 'q7_maximize_it' ]

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0c2409bc9c62a060ea1dd970501ce9b60b90f455

328

py

Python

flask_app/errors.py

yaelmi3/backslash

edf39caf97af2c926da01c340a83648f4874e97e

[ "BSD-3-Clause" ]

17

2015-11-25T13:02:38.000Z

2021-12-14T20:18:36.000Z

flask_app/errors.py

yaelmi3/backslash

edf39caf97af2c926da01c340a83648f4874e97e

[ "BSD-3-Clause" ]

533

2015-11-24T12:47:13.000Z

2022-02-12T07:59:08.000Z

flask_app/errors.py

parallelsystems/backslash

577cdd18d5f665a8b493c4b2e2a605b7e0f6e11b

[ "BSD-3-Clause" ]

15

2015-11-22T13:25:54.000Z

2022-02-16T19:23:11.000Z

from flask import render_template, make_response errors = {} def _define_custom_error_page(code): def _handler(err): return make_response(render_template("errors/{}.html".format(code)), code) errors[code] = _handler _define_custom_error_page(500) _define_custom_error_page(404) _define_custom_error_page(403)

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py

Python

psltdsim/dtc/__init__.py

thadhaines/PSLTDSim

1bc598f3733c1369c164f54249e5f7757e6bf466

[ "MIT" ]

null

psltdsim/dtc/__init__.py

thadhaines/PSLTDSim

1bc598f3733c1369c164f54249e5f7757e6bf466

[ "MIT" ]

null

psltdsim/dtc/__init__.py

thadhaines/PSLTDSim

1bc598f3733c1369c164f54249e5f7757e6bf466

[ "MIT" ]

null

# This imports functions that will be available as psltdsim.dynamicAgents.* from .DTCAgent import DTCAgent from .DTCTimerAgent import DTCTimerAgent from .RTAgent import RTAgent from .parseAction import parseAction

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0c38e3332260e7fc0191653cbfb0f3694ed9a495

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py

Python

test.py

chapman-phys227-2016s/hw-4-ChinmaiRaman

d339b093f6b4a682b6c527616b1506ef5ae82aef

[ "MIT" ]

null

test.py

chapman-phys227-2016s/hw-4-ChinmaiRaman

d339b093f6b4a682b6c527616b1506ef5ae82aef

[ "MIT" ]

null

test.py

chapman-phys227-2016s/hw-4-ChinmaiRaman

d339b093f6b4a682b6c527616b1506ef5ae82aef

[ "MIT" ]

null

def test_test(): assert(1 == 1) # I had no nosetests because I implemented all of the homework in ipython as instructed. However, Travis CI was throwing an error because of this, so I had to create a bogus test file.

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0c3ad67ed646e4b7d18d94656f58b4e08b815f26

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py

Python

src/canuvit/__init__.py

k-sriram/canuvit

e75028999531506982724771f33dcd7514ed4e99

[ "Apache-2.0" ]

2

2021-10-31T10:06:47.000Z

2021-11-01T06:24:59.000Z

src/canuvit/__init__.py

k-sriram/canuvit

e75028999531506982724771f33dcd7514ed4e99

[ "Apache-2.0" ]

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2021-11-01T05:41:43.000Z

2021-11-01T18:05:12.000Z

src/canuvit/__init__.py

k-sriram/canuvit

e75028999531506982724771f33dcd7514ed4e99

[ "Apache-2.0" ]

1

2021-10-31T11:32:46.000Z

from .canuvit import observe_VIS, observe_UV, observe from ._canuvit_version import __version__

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py

Python

finance/financeutil.py

codingwithchad/finance

4202692024ec0137670ff02a13b2f92f17da0cb2

[ "MIT" ]

null

finance/financeutil.py

codingwithchad/finance

4202692024ec0137670ff02a13b2f92f17da0cb2

[ "MIT" ]

null

finance/financeutil.py

codingwithchad/finance

4202692024ec0137670ff02a13b2f92f17da0cb2

[ "MIT" ]

null

import re def toFloat(amount): if '(' in amount: amount = amount.strip('()$') return float(amount) * -1 else: amount = amount.strip('$') return float(amount)

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5

a74d571a905e6e494e789c67ff0a2b132b7c707c

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py

Python

meituan/api/__init__.py

farseer810/openmeituan

307991ea64fee949917c261c06dee68187b14321

[ "MIT" ]

null

meituan/api/__init__.py

farseer810/openmeituan

307991ea64fee949917c261c06dee68187b14321

[ "MIT" ]

null

meituan/api/__init__.py

farseer810/openmeituan

307991ea64fee949917c261c06dee68187b14321

[ "MIT" ]

null

# -*- coding: utf-8 -*- from meituan.api.micro import MeituanMicroPay

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5

a7505eacaa01312322dc65d07be2824c79ccf29c

141

py

Python

pub_site/src/pub_site/api/__init__.py

webee/pay

b48c6892686bf3f9014bb67ed119506e41050d45

[ "W3C" ]

1

2019-10-14T11:51:49.000Z

pub_site/src/pub_site/api/__init__.py

webee/pay

b48c6892686bf3f9014bb67ed119506e41050d45

[ "W3C" ]

null

pub_site/src/pub_site/api/__init__.py

webee/pay

b48c6892686bf3f9014bb67ed119506e41050d45

[ "W3C" ]

null

# -*- coding: utf-8 -*- from flask import Blueprint api_mod = Blueprint('api', __name__) from . import views from . import cheque, account

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5

a7ccf755ab86975553a2ea8993dc919235aa710c

36

py

Python

jupyterlabpymolpysnips/MolecularRepresentation/solventRadius.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

jupyterlabpymolpysnips/MolecularRepresentation/solventRadius.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

jupyterlabpymolpysnips/MolecularRepresentation/solventRadius.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

cmd.do('set solvent_radius, 1.55;')

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5

38ec7a6afa2cc9ef1ef1a43849f55f486be9abb9

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py

Python

gdcdatamodel/__init__.py

uc-cdis/gdcdatamodel

731c6fee160586dde4e5ff3bc76f131201c71543

[ "Apache-2.0" ]

27

2016-06-24T20:32:44.000Z

2022-01-17T07:53:48.000Z

gdcdatamodel/__init__.py

NCI-GDC/gdcdatamodel

924fc8ab695b1cbb0131636ffcb6d3881db2e200

[ "Apache-2.0" ]

63

2016-07-20T21:40:11.000Z

2021-08-12T18:39:21.000Z

gdcdatamodel/__init__.py

uc-cdis/gdcdatamodel

731c6fee160586dde4e5ff3bc76f131201c71543

[ "Apache-2.0" ]

5

2016-10-20T20:00:09.000Z

2020-08-14T08:55:40.000Z

from gdcdatamodel import *

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ac11aee85d37a76ac849a4a1d3713cb6ab068203

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py

Python

CodeWars/8 Kyu/Difference of Volumes of Cuboids.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/8 Kyu/Difference of Volumes of Cuboids.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/8 Kyu/Difference of Volumes of Cuboids.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

def find_difference(a, b): return abs((a[1]*a[2]*a[0])-b[1]*b[2]*b[0])

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ac293d09119264fa8ea62514289ce6ca148733f9

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py

Python

3/3.4.4.3.py

cmp0xff/python_for_ss

4085c1c96bf9b65072ee257890097ba1e2be3653

[ "BSD-3-Clause" ]

null

3/3.4.4.3.py

cmp0xff/python_for_ss

4085c1c96bf9b65072ee257890097ba1e2be3653

[ "BSD-3-Clause" ]

null

3/3.4.4.3.py

cmp0xff/python_for_ss

4085c1c96bf9b65072ee257890097ba1e2be3653

[ "BSD-3-Clause" ]

null

from string import ascii_lowercase def main(): print ascii_lowercase print zip(ascii_lowercase, range(1,27)) print dict(zip(ascii_lowercase, range(1,27))) print sorted(dict(zip(ascii_lowercase, range(1,27))).items()) if __name__ == '__main__': main()

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ac2e4e59acb3bf90b68dc451136cca7a45bcff72

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py

Python

citekit/citation.py

hedythedev/citekit.py

7d0a7120e1a272af8c6cbbbbd721c3fa1299d927

[ "MIT" ]

1

2020-08-19T08:53:40.000Z

citekit/citation.py

hedythedev/citekit.py

7d0a7120e1a272af8c6cbbbbd721c3fa1299d927

[ "MIT" ]

null

citekit/citation.py

hedythedev/citekit.py

7d0a7120e1a272af8c6cbbbbd721c3fa1299d927

[ "MIT" ]

null

class Citation: """Basic citation class""" def __init__(self, data: dict): self.data = data @property def data_(self): return self.data def __str__(self): return str(self.data) def __repr(self): return str(self.data)

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ac8a3d4118eaf87b5a218d0aa0f56128bbc03dce

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py

Python

projects/importing/__init__.py

tuomas777/kaavapino

ef2a6c70a29063fd22053598e3beba9f92c63295

[ "MIT" ]

null

projects/importing/__init__.py

tuomas777/kaavapino

ef2a6c70a29063fd22053598e3beba9f92c63295

[ "MIT" ]

null

projects/importing/__init__.py

tuomas777/kaavapino

ef2a6c70a29063fd22053598e3beba9f92c63295

[ "MIT" ]

1

2017-12-20T12:54:30.000Z

from .attribute import AttributeImporter, AttributeImporterException # noqa

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214

py

Python

data_reports/utils.py

methods/phe-cv19-site

fd5f877b8a0725a9893fa3c24a54e9495e749744

[ "MIT" ]

1

2020-09-21T16:35:16.000Z

data_reports/utils.py

methods/phe-cv19-site

fd5f877b8a0725a9893fa3c24a54e9495e749744

[ "MIT" ]

14

2020-03-25T10:29:26.000Z

2022-01-13T03:45:38.000Z

data_reports/utils.py

methods/phe-cv19-site

fd5f877b8a0725a9893fa3c24a54e9495e749744

[ "MIT" ]

null

from data_reports.models import UsageReport def create_daily_usage_report(): page_views_report_file = UsageReport.generate_report('page_views') downloads_report_file = UsageReport.generate_report('downloads')

35.666667

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3beef30626fc36ef5f17ad9761a22806f03b9af7

14,970

py

Python

tests/e2e/test_provider_saml.py

BeryJu/passbook

350f0d836580f4411524614f361a76c4f27b8a2d

[ "MIT" ]

15

2020-01-05T09:09:57.000Z

2020-11-28T05:27:39.000Z

tests/e2e/test_provider_saml.py

BeryJu/passbook

350f0d836580f4411524614f361a76c4f27b8a2d

[ "MIT" ]

302

2020-01-21T08:03:59.000Z

2020-12-04T05:04:57.000Z

tests/e2e/test_provider_saml.py

BeryJu/passbook

350f0d836580f4411524614f361a76c4f27b8a2d

[ "MIT" ]

3

2020-03-04T08:21:59.000Z

2020-08-01T20:37:18.000Z

"""test SAML Provider flow""" from json import loads from sys import platform from time import sleep from unittest.case import skipUnless from docker import DockerClient, from_env from docker.models.containers import Container from docker.types import Healthcheck from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as ec from authentik.core.models import Application from authentik.core.tests.utils import create_test_cert from authentik.flows.models import Flow from authentik.policies.expression.models import ExpressionPolicy from authentik.policies.models import PolicyBinding from authentik.providers.saml.models import SAMLBindings, SAMLPropertyMapping, SAMLProvider from authentik.sources.saml.processors.constants import SAML_BINDING_POST from tests.e2e.utils import SeleniumTestCase, apply_migration, object_manager, retry @skipUnless(platform.startswith("linux"), "requires local docker") class TestProviderSAML(SeleniumTestCase): """test SAML Provider flow""" container: Container def setup_client(self, provider: SAMLProvider, force_post: bool = False) -> Container: """Setup client saml-sp container which we test SAML against""" client: DockerClient = from_env() metadata_url = ( self.url( "authentik_api:samlprovider-metadata", pk=provider.pk, ) + "?download" ) if force_post: metadata_url += f"&force_binding={SAML_BINDING_POST}" container = client.containers.run( image="ghcr.io/beryju/saml-test-sp:latest", detach=True, network_mode="host", auto_remove=True, healthcheck=Healthcheck( test=["CMD", "wget", "--spider", "http://localhost:9009/health"], interval=5 * 100 * 1000000, start_period=1 * 100 * 1000000, ), environment={ "SP_ENTITY_ID": provider.issuer, "SP_SSO_BINDING": "urn:oasis:names:tc:SAML:2.0:bindings:HTTP-POST", "SP_METADATA_URL": metadata_url, }, ) while True: container.reload() status = container.attrs.get("State", {}).get("Health", {}).get("Status") if status == "healthy": return container self.logger.info("Container failed healthcheck") sleep(1) @retry() @apply_migration("authentik_flows", "0008_default_flows") @apply_migration("authentik_flows", "0011_flow_title") @apply_migration("authentik_flows", "0010_provider_flows") @apply_migration("authentik_crypto", "0002_create_self_signed_kp") @object_manager def test_sp_initiated_implicit(self): """test SAML Provider flow SP-initiated flow (implicit consent)""" # Bootstrap all needed objects authorization_flow = Flow.objects.get( slug="default-provider-authorization-implicit-consent" ) provider: SAMLProvider = SAMLProvider.objects.create( name="saml-test", acs_url="http://localhost:9009/saml/acs", audience="authentik-e2e", issuer="authentik-e2e", sp_binding=SAMLBindings.POST, authorization_flow=authorization_flow, signing_kp=create_test_cert(), ) provider.property_mappings.set(SAMLPropertyMapping.objects.all()) provider.save() Application.objects.create( name="SAML", slug="authentik-saml", provider=provider, ) self.container = self.setup_client(provider) self.driver.get("http://localhost:9009") self.login() self.wait_for_url("http://localhost:9009/") body = loads(self.driver.find_element(By.CSS_SELECTOR, "pre").text) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/name"], [self.user.name], ) self.assertEqual( body["attr"][ "http://schemas.microsoft.com/ws/2008/06/identity/claims/windowsaccountname" ], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/username"], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/uid"], [str(self.user.pk)], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/emailaddress"], [self.user.email], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/upn"], [self.user.email], ) @retry() @apply_migration("authentik_flows", "0008_default_flows") @apply_migration("authentik_flows", "0011_flow_title") @apply_migration("authentik_flows", "0010_provider_flows") @apply_migration("authentik_crypto", "0002_create_self_signed_kp") @object_manager def test_sp_initiated_explicit(self): """test SAML Provider flow SP-initiated flow (explicit consent)""" # Bootstrap all needed objects authorization_flow = Flow.objects.get( slug="default-provider-authorization-explicit-consent" ) provider: SAMLProvider = SAMLProvider.objects.create( name="saml-test", acs_url="http://localhost:9009/saml/acs", audience="authentik-e2e", issuer="authentik-e2e", sp_binding=SAMLBindings.POST, authorization_flow=authorization_flow, signing_kp=create_test_cert(), ) provider.property_mappings.set(SAMLPropertyMapping.objects.all()) provider.save() app = Application.objects.create( name="SAML", slug="authentik-saml", provider=provider, ) self.container = self.setup_client(provider) self.driver.get("http://localhost:9009") self.login() self.wait.until(ec.presence_of_element_located((By.CSS_SELECTOR, "ak-flow-executor"))) flow_executor = self.get_shadow_root("ak-flow-executor") consent_stage = self.get_shadow_root("ak-stage-consent", flow_executor) self.assertIn( app.name, consent_stage.find_element(By.CSS_SELECTOR, "#header-text").text, ) consent_stage.find_element( By.CSS_SELECTOR, ("[type=submit]"), ).click() self.wait_for_url("http://localhost:9009/") body = loads(self.driver.find_element(By.CSS_SELECTOR, "pre").text) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/name"], [self.user.name], ) self.assertEqual( body["attr"][ "http://schemas.microsoft.com/ws/2008/06/identity/claims/windowsaccountname" ], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/username"], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/uid"], [str(self.user.pk)], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/emailaddress"], [self.user.email], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/upn"], [self.user.email], ) @retry() @apply_migration("authentik_flows", "0008_default_flows") @apply_migration("authentik_flows", "0011_flow_title") @apply_migration("authentik_flows", "0010_provider_flows") @apply_migration("authentik_crypto", "0002_create_self_signed_kp") @object_manager def test_sp_initiated_explicit_post(self): """test SAML Provider flow SP-initiated flow (explicit consent) (POST binding)""" # Bootstrap all needed objects authorization_flow = Flow.objects.get( slug="default-provider-authorization-explicit-consent" ) provider: SAMLProvider = SAMLProvider.objects.create( name="saml-test", acs_url="http://localhost:9009/saml/acs", audience="authentik-e2e", issuer="authentik-e2e", sp_binding=SAMLBindings.POST, authorization_flow=authorization_flow, signing_kp=create_test_cert(), ) provider.property_mappings.set(SAMLPropertyMapping.objects.all()) provider.save() app = Application.objects.create( name="SAML", slug="authentik-saml", provider=provider, ) self.container = self.setup_client(provider, True) self.driver.get("http://localhost:9009") self.login() self.wait.until(ec.presence_of_element_located((By.CSS_SELECTOR, "ak-flow-executor"))) flow_executor = self.get_shadow_root("ak-flow-executor") consent_stage = self.get_shadow_root("ak-stage-consent", flow_executor) self.assertIn( app.name, consent_stage.find_element(By.CSS_SELECTOR, "#header-text").text, ) consent_stage.find_element( By.CSS_SELECTOR, ("[type=submit]"), ).click() self.wait_for_url("http://localhost:9009/") body = loads(self.driver.find_element(By.CSS_SELECTOR, "pre").text) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/name"], [self.user.name], ) self.assertEqual( body["attr"][ "http://schemas.microsoft.com/ws/2008/06/identity/claims/windowsaccountname" ], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/username"], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/uid"], [str(self.user.pk)], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/emailaddress"], [self.user.email], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/upn"], [self.user.email], ) @retry() @apply_migration("authentik_flows", "0008_default_flows") @apply_migration("authentik_flows", "0011_flow_title") @apply_migration("authentik_flows", "0010_provider_flows") @apply_migration("authentik_crypto", "0002_create_self_signed_kp") @object_manager def test_idp_initiated_implicit(self): """test SAML Provider flow IdP-initiated flow (implicit consent)""" # Bootstrap all needed objects authorization_flow = Flow.objects.get( slug="default-provider-authorization-implicit-consent" ) provider: SAMLProvider = SAMLProvider.objects.create( name="saml-test", acs_url="http://localhost:9009/saml/acs", audience="authentik-e2e", issuer="authentik-e2e", sp_binding=SAMLBindings.POST, authorization_flow=authorization_flow, signing_kp=create_test_cert(), ) provider.property_mappings.set(SAMLPropertyMapping.objects.all()) provider.save() Application.objects.create( name="SAML", slug="authentik-saml", provider=provider, ) self.container = self.setup_client(provider) self.driver.get( self.url( "authentik_providers_saml:sso-init", application_slug=provider.application.slug, ) ) self.login() sleep(1) self.wait_for_url("http://localhost:9009/") body = loads(self.driver.find_element(By.CSS_SELECTOR, "pre").text) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/name"], [self.user.name], ) self.assertEqual( body["attr"][ "http://schemas.microsoft.com/ws/2008/06/identity/claims/windowsaccountname" ], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/username"], [self.user.username], ) self.assertEqual( body["attr"]["http://schemas.goauthentik.io/2021/02/saml/uid"], [str(self.user.pk)], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/emailaddress"], [self.user.email], ) self.assertEqual( body["attr"]["http://schemas.xmlsoap.org/ws/2005/05/identity/claims/upn"], [self.user.email], ) @retry() @apply_migration("authentik_flows", "0008_default_flows") @apply_migration("authentik_flows", "0011_flow_title") @apply_migration("authentik_flows", "0010_provider_flows") @apply_migration("authentik_crypto", "0002_create_self_signed_kp") @object_manager def test_sp_initiated_denied(self): """test SAML Provider flow SP-initiated flow (Policy denies access)""" # Bootstrap all needed objects authorization_flow = Flow.objects.get( slug="default-provider-authorization-implicit-consent" ) negative_policy = ExpressionPolicy.objects.create( name="negative-static", expression="return False" ) provider: SAMLProvider = SAMLProvider.objects.create( name="saml-test", acs_url="http://localhost:9009/saml/acs", audience="authentik-e2e", issuer="authentik-e2e", sp_binding=SAMLBindings.POST, authorization_flow=authorization_flow, signing_kp=create_test_cert(), ) provider.property_mappings.set(SAMLPropertyMapping.objects.all()) provider.save() app = Application.objects.create( name="SAML", slug="authentik-saml", provider=provider, ) PolicyBinding.objects.create(target=app, policy=negative_policy, order=0) self.container = self.setup_client(provider) self.driver.get("http://localhost:9009/") self.login() self.wait.until(ec.presence_of_element_located((By.CSS_SELECTOR, "header > h1"))) self.assertEqual( self.driver.find_element(By.CSS_SELECTOR, "header > h1").text, "Permission denied", )

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1,572

14,970

5.655852

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0.773816

0.766505

0

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0.074713

0

null

0

1

0

null

0

5

ce05d9b027d5c2254b9507fc74bbf23fb5cdca48

53

py

Python

reader/__init__.py

climberwb/bert-pli

0e6eda7a23b7502c86eab4c0d889fad1bbb57155

[ "MIT" ]

5

2020-12-24T01:46:40.000Z

2022-03-18T19:15:10.000Z

reader/__init__.py

climberwb/bert-pli

0e6eda7a23b7502c86eab4c0d889fad1bbb57155

[ "MIT" ]

1

2021-04-05T14:27:24.000Z

reader/__init__.py

climberwb/bert-pli

0e6eda7a23b7502c86eab4c0d889fad1bbb57155

[ "MIT" ]

4

2020-12-28T09:20:13.000Z

2021-12-10T13:33:21.000Z

from .reader import init_dataset, init_test_dataset

26.5

52

0.849057

8

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5.25

0.75

0

0.113208

53

1

53

0.893617

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null

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null

0

1

0

1

0

1

0

5

ce211f8e0952d9dccff9f1862a243f8adcfb962f

10,109

py

Python

keops_utils.py

plantonsanti/PartialMatchingVarifolds

032486e146262f6a2d08ec27215cc817eddb2928

[ "MIT" ]

2

2021-07-01T03:30:07.000Z

2021-12-17T10:04:39.000Z

keops_utils.py

plantonsanti/PartialMatchingVarifolds

032486e146262f6a2d08ec27215cc817eddb2928

[ "MIT" ]

null

keops_utils.py

plantonsanti/PartialMatchingVarifolds

032486e146262f6a2d08ec27215cc817eddb2928

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Feb 19 11:30:25 2019 @author: pantonsanti """ import torch from pykeops.torch import kernel_product, LazyTensor, Genred, Vi, Vj from pykeops.torch.kernel_product.formula import * ################### GPU management #########################" # torch type and device def TestCuda(verbose = True): use_cuda = torch.cuda.is_available() if(verbose): print("Use cuda : ",use_cuda) torchdeviceId = torch.device('cuda:0') if use_cuda else 'cpu' torchdtype = torch.float32 KernelMethod = 'CPU' if(use_cuda): torch.cuda.set_device(torchdeviceId) KernelMethod = 'auto' # PyKeOps counterpart KeOpsdeviceId = torchdeviceId.index # id of Gpu device (in case Gpu is used) KeOpsdtype = torchdtype.__str__().split('.')[1] # 'float32' #print(KeOpsdtype) return use_cuda,torchdeviceId,torchdtype,KeOpsdeviceId,KeOpsdtype,KernelMethod use_cuda,torchdeviceId,torchdtype,KeOpsdeviceId,KeOpsdtype,KernelMethod = TestCuda(verbose=False) ############################################################ # function to transfer data on Gpu only if we use the Gpu def CpuOrGpu(x): if use_cuda: if type(x)==tuple: x = tuple(map(lambda x:x.cuda(device=torchdeviceId),x)) else: x = x.cuda(device=torchdeviceId) return x ################################################################### # Define "Gaussian-CauchyBinet" kernel :math:`(K(x,y,u,v)b)_i = \sum_j \exp(-\|x_i-y_j\|^2) \langle u_i,v_j\rangle^2 b_j` def GaussLinKernel(sigma): x, y, u, v, b = Vi(0,3), Vj(1,3), Vi(2,3), Vj(3,3), Vj(4,1) gamma = 1 / (sigma * sigma) D2 = x.sqdist(y) K = (-D2*gamma).exp() * (u*v).sum()**2 return (K*b).sum_reduction(axis=1) def OrientedGaussLinKernel(sigma): x, y, u, v, b = Vi(0,3), Vj(1,3), Vi(2,3), Vj(3,3), Vj(4,1) gamma = 1 / (sigma * sigma) D2 = x.sqdist(y) K = (-D2*gamma).exp() * ((u*v).sum()).exp() return (K*b).sum_reduction(axis=1) def SobolevKernel(): D2 = x.sqdist(y) K = D2.pow(3/2) return (K).sum_reduction(axis=1) def GenericGaussKernel(ref_scale,list_coefs = [1]): """ Given a deformation scale for the kernels, generates the sum of the kernels at the scale divided by the coeff. Parameters ---------- ref_scale : torch tensor The scale of the deformations kernels (that is to be divided by the coefficients of list_coefs) list_coefs : list of floats The coefficients that will divide the deformations scale and ponder the kernels. Returns ------- K : kernel -or sum of kernels- funtion. """ def K(x,y,b = None): """ The kernel function. Parameters ---------- x,y : torch tensor The points x.shape = (n_pts_x, dim) y.shape = (n_pts_y, dim) b (Optional) : torch tensor Optional momenta or weights. Default: None Returns ------- a_i : LazyTensor If b is None, a_i = sum_j exp(-|x_i-y_j|^2) else, a_i = sum_j exp(-|x_i-y_j|^2).b_i """ x_i = LazyTensor( x[:,None,:] ) # x_i.shape = (n_pts_x, 1, dim) y_j = LazyTensor( y[None,:,:] ) # y_j.shape = ( 1, n_pts_y,dim) D_ij = ((x_i - y_j)**2).sum(dim=2) # Symbolic (n_pts_x,n_pts_y,1) matrix of squared distances ref_scale2 = 1/(ref_scale**2) weighting = 1/len(list_coefs) for i,coef in enumerate(list_coefs): c2 = coef**2*ref_scale2 if i==0: K_ij = weighting*(- D_ij*c2).exp() # # Symbolic (n_pts_x,n_pts_y,1) matrix else: K_ij += weighting*(- D_ij*c2).exp() # # Symbolic (n_pts_x,n_pts_y,1) matrix if b is None: a_i = K_ij.sum(axis=1) else: b = LazyTensor( b[None,:,:] ) a_i = (K_ij*b).sum(axis=1) return a_i return K def PartialWeightedGaussLinKernel(sigma, epsilon = 0.0001): """ Given a deformation scale for the kernels, generates the sum of the kernels at the scale divided by the coeff. Parameters ---------- ref_scale : torch tensor The scale of the deformations kernels (that is to be divided by the coefficients of list_coefs) list_coefs : list of floats The coefficients that will divide the deformations scale and ponder the kernels. Returns ------- K : kernel -or sum of kernels- funtion. """ gamma = 1/sigma**2 def min_x1(x): return .5*(x+1-(epsilon+(x-1)**2).sqrt()) def K(x, y, u, v, omega_x, omega_y, by): """ The kernel function. Parameters ---------- x,y : torch tensor The points x.shape = (n_pts_x, dim) y.shape = (n_pts_y, dim) b (Optional) : list of integers Optional momenta. Default: None Returns ------- a_i : LazyTensor If b is None, a_i = sum_j exp(-|x_i-y_j|^2) else, a_i = sum_j exp(-|x_i-y_j|^2).b_i """ x_i = LazyTensor( x[:,None,:] ) # x_i.shape = (n_pts_x, 1, dim) y_j = LazyTensor( y[None,:,:] ) # y_j.shape = ( 1, n_pts_y,dim) b_j = LazyTensor( by[None,:] ) u_i = LazyTensor( u[:,None,:] ) v_j = LazyTensor( v[None,:,:] ) D_ij = ((x_i - y_j)**2).sum(dim=2) # Symbolic (n_pts_x,n_pts_y,1) matrix of squared distances omega_ij = (- D_ij*gamma).exp() * (u_i*v_j).sum()**2 M_compare = LazyTensor(omega_x[:,None,:])*LazyTensor((1/omega_y)[None,:,:]) matrix_weights = min_x1(M_compare) omega_weighted_ij = (matrix_weights*omega_ij*b_j).sum(dim=1) #(n_pts_y,n_pts_y) LAZZY TENSOR return omega_weighted_ij return K def PartialWeightedGaussKernel(sigma, epsilon = 0.0001): """ Given a deformation scale for the kernels, generates the sum of the kernels at the scale divided by the coeff. Parameters ---------- ref_scale : torch tensor The scale of the deformations kernels (that is to be divided by the coefficients of list_coefs) list_coefs : list of floats The coefficients that will divide the deformations scale and ponder the kernels. Returns ------- K : kernel -or sum of kernels- funtion. """ gamma = 1/sigma**2 def min_x1(x): return .5*(x+1-(epsilon+(x-1)**2).sqrt()) def K(x, y, omega_x, omega_y, by): """ The kernel function. Parameters ---------- x,y : torch tensor The points x.shape = (n_pts_x, dim) y.shape = (n_pts_y, dim) b (Optional) : list of integers Optional momenta. Default: None Returns ------- a_i : LazyTensor If b is None, a_i = sum_j exp(-|x_i-y_j|^2) else, a_i = sum_j exp(-|x_i-y_j|^2).b_i """ x_i = LazyTensor( x[:,None,:] ) # x_i.shape = (n_pts_x, 1, dim) y_j = LazyTensor( y[None,:,:] ) # y_j.shape = ( 1, n_pts_y,dim) b_j = LazyTensor( by[None,:] ) D_ij = ((x_i - y_j)**2).sum(dim=2) # Symbolic (n_pts_x,n_pts_y,1) matrix of squared distances omega_ij = (- D_ij*gamma).exp() M_compare = LazyTensor(omega_x[:,None,:])*LazyTensor((1/omega_y)[None,:,:]) matrix_weights = min_x1(M_compare) omega_weighted_ij = (matrix_weights*omega_ij*b_j).sum(dim=1) #(n_pts_y,n_pts_y) LAZZY TENSOR return omega_weighted_ij return K def PartialWeightedGaussLinKernelOriented(sigma, epsilon = 0.0001): """ Given a deformation scale for the kernels, generates the sum of the kernels at the scale divided by the coeff. Parameters ---------- ref_scale : torch tensor The scale of the deformations kernels (that is to be divided by the coefficients of list_coefs) list_coefs : list of floats The coefficients that will divide the deformations scale and ponder the kernels. Returns ------- K : kernel -or sum of kernels- funtion. """ gamma = 1/sigma**2 def min_x1(x): return .5*(x+1-(epsilon+(x-1)**2).sqrt()) def K(x, y, u, v, omega_x, omega_y, by): """ The kernel function. Parameters ---------- x,y : torch tensor The points x.shape = (n_pts_x, dim) y.shape = (n_pts_y, dim) b (Optional) : list of integers Optional momenta. Default: None Returns ------- a_i : LazyTensor If b is None, a_i = sum_j exp(-|x_i-y_j|^2) else, a_i = sum_j exp(-|x_i-y_j|^2).b_i """ x_i = LazyTensor( x[:,None,:] ) # x_i.shape = (n_pts_x, 1, dim) y_j = LazyTensor( y[None,:,:] ) # y_j.shape = ( 1, n_pts_y,dim) b_j = LazyTensor( by[None,:] ) u_i = LazyTensor( u[:,None,:] ) v_j = LazyTensor( v[None,:,:] ) D_ij = ((x_i - y_j)**2).sum(dim=2) # Symbolic (n_pts_x,n_pts_y,1) matrix of squared distances omega_ij = (- D_ij*gamma).exp() * ((u_i*v_j).sum()).exp() M_compare = LazyTensor(omega_x[:,None,:])*LazyTensor((1/omega_y)[None,:,:]) matrix_weights = min_x1(M_compare) omega_weighted_ij = (matrix_weights*omega_ij*b_j).sum(dim=1) #(n_pts_y,n_pts_y) LAZZY TENSOR return omega_weighted_ij return K ############################################################### ################# SOME WRAPPING FUNCTIONS ##################### ############################################################### def Sum3GaussKernel(sigma = 100): list_coefs = [1., 2., 4.] K = GenericGaussKernel(sigma,list_coefs) return K def Sum4GaussKernel(sigma = 100): list_coefs = [1., 4., 8., 16.] K = GenericGaussKernel(sigma,list_coefs) return K def Sum4GaussKernel_bis(sigma = 100): list_coefs = [1., 2., 4., 8.] K = GenericGaussKernel(sigma,list_coefs) return K

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0

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false

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0

null

0

1

0

null

0

5

ce2b2dec6239a96e5c90d1b1662991dde06f6433

472

py

Python

server.py

Shamanskiy/portphotolio

8f5db0a6a2fa0eb6ed642947845c91fb0b70b4ea

[ "MIT" ]

null

server.py

Shamanskiy/portphotolio

8f5db0a6a2fa0eb6ed642947845c91fb0b70b4ea

[ "MIT" ]

1

2020-08-11T19:00:48.000Z

server.py

Shamanskiy/portphotolio

8f5db0a6a2fa0eb6ed642947845c91fb0b70b4ea

[ "MIT" ]

null

from flask import Flask, render_template app = Flask(__name__) @app.route('/') def home(): return render_template("home.html") @app.route('/white_sea') def white_sea(): return render_template("white_sea.html") @app.route('/crimea') def crimea(): return render_template("crimea.html") @app.route('/test') def test(): return render_template("test.html") if __name__ == "__main__": app.run(debug=True) #app.run(host='192.168.0.4',port = "5010")

19.666667

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null

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1

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1

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5

cbec4d9e2db4c5d7b23fa5bafaf5807f6658a7b8

6,485

py

Python

tests/integration/views/surveys/test_upload_survey.py

uk-gov-mirror/ONSdigital.ras-frontstage

4bf0f779f37d2a9ce7efe9f11c9b55a7a398faae

[ "MIT" ]

null

tests/integration/views/surveys/test_upload_survey.py

uk-gov-mirror/ONSdigital.ras-frontstage

4bf0f779f37d2a9ce7efe9f11c9b55a7a398faae

[ "MIT" ]

null

tests/integration/views/surveys/test_upload_survey.py

uk-gov-mirror/ONSdigital.ras-frontstage

4bf0f779f37d2a9ce7efe9f11c9b55a7a398faae

[ "MIT" ]

null

import io import logging import unittest import requests_mock from unittest.mock import patch from requests.models import Response from structlog import wrap_logger from frontstage import app from frontstage.exceptions.exceptions import CiUploadError from tests.integration.mocked_services import business_party, case, encoded_jwt_token, survey, url_upload_ci, url_banner_api logger = wrap_logger(logging.getLogger(__name__)) @requests_mock.mock() class TestUploadSurvey(unittest.TestCase): def setUp(self): self.app = app.test_client() self.app.set_cookie('localhost', 'authorization', 'session_key') self.headers = { "Authorization": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX2lkIjoicmluZ3JhbUBub3d3aGVyZS5jb20iLCJ1c2VyX3Njb3BlcyI6WyJjaS5yZWFkIiwiY2kud3JpdGUiXX0.se0BJtNksVtk14aqjp7SvnXzRbEKoqXb8Q5U9VVdy54" # NOQA } self.survey_file = dict(file=(io.BytesIO(b'my file contents'), "testfile.xlsx")) self.patcher = patch('redis.StrictRedis.get', return_value=encoded_jwt_token) self.patcher.start() def tearDown(self): self.patcher.stop() @patch('frontstage.controllers.collection_instrument_controller.upload_collection_instrument') @patch('frontstage.controllers.party_controller.is_respondent_enrolled') def test_upload_survey_success(self, mock_request, *_): mock_request.get(url_banner_api, status_code=404) self.survey_file = dict(file=(io.BytesIO(b'my file contents'), "testfile.xlsx")) response = self.app.post(f'/surveys/upload-survey?case_id={case["id"]}&business_party_id={business_party["id"]}' f'&survey_short_name={survey["shortName"]}', data=self.survey_file) self.assertEqual(response.status_code, 200) @patch('frontstage.controllers.collection_instrument_controller.upload_collection_instrument') @patch('frontstage.controllers.party_controller.is_respondent_enrolled') def test_upload_survey_fail_unexpected_error(self, mock_request, _, upload_ci): mock_request.get(url_banner_api, status_code=404) error_response = Response() error_response.status_code = 500 error_response.url = url_upload_ci error_message = "fail" error = CiUploadError(logger, error_response, error_message) upload_ci.side_effect = error self.survey_file = dict(file=(io.BytesIO(b'my file contents'), "testfile.xlsx")) response = self.app.post(f'/surveys/upload-survey?case_id={case["id"]}&business_party_id={business_party["id"]}' f'&survey_short_name={survey["shortName"]}', data=self.survey_file) self.assertEqual(response.status_code, 302) self.assertTrue('/surveys/upload-failed'.encode() in response.data) @patch('frontstage.controllers.collection_instrument_controller.upload_collection_instrument') @patch('frontstage.controllers.party_controller.is_respondent_enrolled') def test_upload_survey_fail_type_error(self, mock_request, _, upload_ci): mock_request.get(url_banner_api, status_code=404) error_response = Response() error_response.status_code = 500 error_response.url = url_upload_ci error_message = ".xlsx format" error = CiUploadError(logger, error_response, error_message) upload_ci.side_effect = error self.survey_file = dict(file=(io.BytesIO(b'my file contents'), "testfile.xlsx")) response = self.app.post(f'/surveys/upload-survey?case_id={case["id"]}&business_party_id={business_party["id"]}' f'&survey_short_name={survey["shortName"]}', data=self.survey_file) self.assertEqual(response.status_code, 302) self.assertTrue('/surveys/upload-failed'.encode() in response.data) @patch('frontstage.controllers.collection_instrument_controller.upload_collection_instrument') @patch('frontstage.controllers.party_controller.is_respondent_enrolled') def test_upload_survey_fail_char_limit_error(self, mock_request, _, upload_ci): mock_request.get(url_banner_api, status_code=404) error_response = Response() error_response.status_code = 500 error_response.url = url_upload_ci error_message = "50 characters" error = CiUploadError(logger, error_response, error_message) upload_ci.side_effect = error self.survey_file = dict(file=(io.BytesIO(b'my file contents'), "testfile.xlsx")) response = self.app.post(f'/surveys/upload-survey?case_id={case["id"]}&business_party_id={business_party["id"]}' f'&survey_short_name={survey["shortName"]}', data=self.survey_file) self.assertEqual(response.status_code, 302) self.assertTrue('/surveys/upload-failed'.encode() in response.data) @patch('frontstage.controllers.collection_instrument_controller.upload_collection_instrument') @patch('frontstage.controllers.party_controller.is_respondent_enrolled') def test_upload_survey_fail_size_error(self, mock_request, _, upload_ci): mock_request.get(url_banner_api, status_code=404) error_response = Response() error_response.status_code = 500 error_response.url = url_upload_ci error_message = "File too large" error = CiUploadError(logger, error_response, error_message) upload_ci.side_effect = error self.survey_file = dict(file=(io.BytesIO(b'my file contents'), "testfile.xlsx")) response = self.app.post(f'/surveys/upload-survey?case_id={case["id"]}&business_party_id={business_party["id"]}' f'&survey_short_name={survey["shortName"]}', data=self.survey_file) self.assertEqual(response.status_code, 302) self.assertTrue('/surveys/upload-failed'.encode() in response.data) def test_upload_survey_content_too_long(self, mock_request): mock_request.get(url_banner_api, status_code=404) file_data = 'a' * 21 * 1024 * 1024 over_size_file = dict(file=(io.BytesIO(file_data.encode()), "testfile.xlsx")) response = self.app.post(f'/surveys/upload-survey?case_id={case["id"]}&business_party_id={business_party["id"]}' f'&survey_short_name={survey["shortName"]}', data=over_size_file) self.assertEqual(response.status_code, 302) self.assertTrue('/surveys/upload-failed'.encode() in response.data)

53.595041

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6,485

5.661538

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0

null

0

1

0

null

0

5

cbf0399b4f484a831ba30853d17c2a1afe39558d

102

py

Python

taxon-sets/all/nexusTofasta.py

lzlniu/GAGA_project

5ba6a2bb5dfa406c9b5d742d0a0d896cdd30be1f

[ "Apache-2.0" ]

null

taxon-sets/all/nexusTofasta.py

lzlniu/GAGA_project

5ba6a2bb5dfa406c9b5d742d0a0d896cdd30be1f

[ "Apache-2.0" ]

null

taxon-sets/all/nexusTofasta.py

lzlniu/GAGA_project

5ba6a2bb5dfa406c9b5d742d0a0d896cdd30be1f

[ "Apache-2.0" ]

null

import sys from Bio import SeqIO SeqIO.write(SeqIO.parse(sys.argv[1], "nexus"), sys.argv[2], "fasta")

25.5

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4.055556

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0

1

0

5

023437f3bc64e08b1c0753c4a09d2014e7ae4c4d

67

py

Python

MNIST/test.py

guessable/machineLearning

69be1f53918c29d27c1a8707ea92ce71c0cc1bfb

[ "MIT" ]

5

2020-09-13T09:41:49.000Z

2022-03-27T01:22:23.000Z

MNIST/test.py

guessable/machineLearning

69be1f53918c29d27c1a8707ea92ce71c0cc1bfb

[ "MIT" ]

null

MNIST/test.py

guessable/machineLearning

69be1f53918c29d27c1a8707ea92ce71c0cc1bfb

[ "MIT" ]

null

#!/usr/bin/env python3 # _*_ coding:utf-8 _*_ # author:CT # TODO

9.571429

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3.8

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null

0

1

0

1

0

5

023680f93927aeb6b1fcd95e7478caf9d0b1bb0b

280

py

Python

src/yellowdog_client/model/exceptions/session_close_exception.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

src/yellowdog_client/model/exceptions/session_close_exception.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

src/yellowdog_client/model/exceptions/session_close_exception.py

yellowdog/yellowdog-sdk-python-public

da69a7d6e45c92933e34fefcaef8b5d98dcd6036

[ "Apache-2.0" ]

null

from dataclasses import dataclass, field from .base_custom_exception import BaseCustomException from .error_type import ErrorType @dataclass class SessionCloseException(BaseCustomException): errorType: ErrorType = field(default=ErrorType.SessionCloseException, init=False)

28

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8.357143

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31.111111

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null

0

1

0

1

0

1

0

5

0278894670a342d9e91455cfd659a7984393ff19

587

py

Python

atividade009.py

henrikysena/Atividades_CursosEmVideo_Python

2890c67ea4be2cde6f42c2489d4c96b47d7b597e

[ "MIT" ]

null

atividade009.py

henrikysena/Atividades_CursosEmVideo_Python

2890c67ea4be2cde6f42c2489d4c96b47d7b597e

[ "MIT" ]

null

atividade009.py

henrikysena/Atividades_CursosEmVideo_Python

2890c67ea4be2cde6f42c2489d4c96b47d7b597e

[ "MIT" ]

null

t = int(input('Digite um número para ver sua tabudada: ')) print('-='*6) # o {:2} é pra deixar alinhadinho unidade com unidade e dezena com dezena print('{} * {:2} = {}'.format(t, 1, t*1)) print('{} * {:2} = {}'.format(t, 2, t*2)) print('{} * {:2} = {}'.format(t, 3, t*3)) print('{} * {:2} = {}'.format(t, 4, t*4)) print('{} * {:2} = {}'.format(t, 5, t*5)) print('{} * {:2} = {}'.format(t, 6, t*6)) print('{} * {:2} = {}'.format(t, 7, t*7)) print('{} * {:2} = {}'.format(t, 8, t*8)) print('{} * {:2} = {}'.format(t, 9, t*9)) print('{} * {:2} = {}'.format(t, 10, t*10)) print('-='*6)

30.894737

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587

18

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null

0

1

0

5

5a0e8f9773e3a0e473b3d0d8379f1a829f9f7a00

27

py

Python

Sentip/__init__.py

hhej/Sentip

bc25ae4b8b248b86362f3fc29394235763a04981

[ "MIT" ]

1

2021-05-28T08:01:00.000Z

Sentip/__init__.py

hhej/Sentip

bc25ae4b8b248b86362f3fc29394235763a04981

[ "MIT" ]

null

Sentip/__init__.py

hhej/Sentip

bc25ae4b8b248b86362f3fc29394235763a04981

[ "MIT" ]

null

from Sentip.Sentip import *

27

0.814815

4

27

5.5

0.75

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27

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27

0.916667

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0

1

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null

0

1

0

null

0

1

0

1

0

5

5a3e521b841f100f6baec3959d4c686465e9bb18

37

py

Python

tests/__init__.py

gecBurton/csv-json

27cdf1cddcd6afa9c0d13baacdef13d89a002122

[ "MIT" ]

null

tests/__init__.py

gecBurton/csv-json

27cdf1cddcd6afa9c0d13baacdef13d89a002122

[ "MIT" ]

4

2021-01-31T11:15:12.000Z

2021-01-31T11:19:56.000Z

tests/__init__.py

gecBurton/csvjson

27cdf1cddcd6afa9c0d13baacdef13d89a002122

[ "MIT" ]

null

"""Unit test package for csvjson."""

18.5

36

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5

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5

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37

1

37

0.78125

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0

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1

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1

0

null

0

1

0

5

5a55e4c19eec5cd071f5749a5c8a69cc8eb37a46

22

py

Python

samflow/__init__.py

samesense/chilin

d61893d58dc7ff98293ae9d3d11a03a247040404

[ "BSD-3-Clause" ]

29

2016-09-27T15:33:27.000Z

2021-07-14T03:26:53.000Z

samflow/__init__.py

samesense/chilin

d61893d58dc7ff98293ae9d3d11a03a247040404

[ "BSD-3-Clause" ]

15

2015-11-22T13:12:03.000Z

2022-01-19T02:18:25.000Z

samflow/__init__.py

samesense/chilin

d61893d58dc7ff98293ae9d3d11a03a247040404

[ "BSD-3-Clause" ]

9

2015-03-30T14:37:26.000Z

2019-06-20T19:06:07.000Z

__author__ = 'ad9075'

11

21

0.727273

2

22

6

1

0

0.210526

0.136364

22

1

22

0.421053

0

0.272727

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

5a601f112604eeffb3eb5ed71dd75b488660948c

45

py

Python

src/__init__.py

CGUSTM/fwu_gen_metadata

cf9a20aca775e874823f39a4f38ad748a2e2197d

[ "BSD-2-Clause" ]

null

src/__init__.py

CGUSTM/fwu_gen_metadata

cf9a20aca775e874823f39a4f38ad748a2e2197d

[ "BSD-2-Clause" ]

1

2021-12-17T17:29:30.000Z

src/__init__.py

CGUSTM/fwu_gen_metadata

cf9a20aca775e874823f39a4f38ad748a2e2197d

[ "BSD-2-Clause" ]

1

2021-10-04T07:52:35.000Z

#!/usr/bin/env python3 #-*-encoding:utf-8*-

11.25

22

0.622222

7

45

4

1

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0.04878

0.088889

45

3

23

15

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0

1

0

null

0

1

0

5

ce7ba0b7f376b99d837267d4dd31daf95d97b759

43

py

Python

WalletException.py

3crabs/wallet

dbabf9c830420ba883b753d1e9a12ff7074bd4fa

[ "WTFPL" ]

1

2020-04-10T12:20:16.000Z

WalletException.py

3crabs/wallet

dbabf9c830420ba883b753d1e9a12ff7074bd4fa

[ "WTFPL" ]

3

2020-04-15T16:27:32.000Z

2020-05-07T17:16:50.000Z

WalletException.py

3crabs/wallet

dbabf9c830420ba883b753d1e9a12ff7074bd4fa

[ "WTFPL" ]

null

class WalletException(Exception): pass

14.333333

33

0.767442

4

43

8.25

1

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0.162791

43

2

34

21.5

0.916667

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true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

ce9d32719f9a8a7bd15a44d7fdf7778cbb2a418e

86

py

Python

vendas/admin.py

G3Amis/CRM-Vendas

03c20ab7d5300014f66d5975fdec27b20bce2581

[ "MIT" ]

null

vendas/admin.py

G3Amis/CRM-Vendas

03c20ab7d5300014f66d5975fdec27b20bce2581

[ "MIT" ]

null

vendas/admin.py

G3Amis/CRM-Vendas

03c20ab7d5300014f66d5975fdec27b20bce2581

[ "MIT" ]

null

from django.contrib import admin from .models import Venda admin.site.register(Venda)

21.5

32

0.825581

13

86

5.461538

0.692308

0

0.104651

86

4

33

21.5

0.922078

0

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true

0

0.666667

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0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

cea5a1a8a5382890dd72046faf74f3d5e4d66d43

50

py

Python

kings_and_pigs/ai/states/__init__.py

yumauri/kings_and_pigs

f22be6bbe988f430d72b5ce55283b78d3cc3fe9e

[ "MIT" ]

null

kings_and_pigs/ai/states/__init__.py

yumauri/kings_and_pigs

f22be6bbe988f430d72b5ce55283b78d3cc3fe9e

[ "MIT" ]

2

2021-12-02T11:05:53.000Z

2021-12-23T18:19:23.000Z

kings_and_pigs/ai/states/__init__.py

yumauri/kings_and_pigs

f22be6bbe988f430d72b5ce55283b78d3cc3fe9e

[ "MIT" ]

null

from .idle import Idle from .patrol import Patrol

16.666667

26

0.8

8

50

5

0.5

0

0.16

50

2

27

25

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

cec81ef03e0a9d718f1186dadd21229c5a943fd1

239

py

Python

tests/__init__.py

mukaiu/HanLP

a5daff93a1cb0a58b6f1cee3c8e64bdd07171820

[ "Apache-2.0" ]

1

2020-01-02T06:03:49.000Z

tests/__init__.py

Lankovski/HanLP

69ad19aa56a656cad007993bb1716b3018d80751

[ "Apache-2.0" ]

null

tests/__init__.py

Lankovski/HanLP

69ad19aa56a656cad007993bb1716b3018d80751

[ "Apache-2.0" ]

1

2020-01-11T19:56:42.000Z

# -*- coding:utf-8 -*- # Author: hankcs # Date: 2019-06-13 23:43 import os from tests.resources import project_root def cdroot(): """ cd to project root, so models are saved in the root folder """ os.chdir(project_root)

17.071429

62

0.65272

37

239

4.162162

0.810811

0.214286

0

0.069892

0.221757

239

13

63

18.384615

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0.493724

0

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0.25

true

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null

1

0

null

0

1

0

1

0

1

0

5

cecaa7aef6afe3fed88fdb495c42cfb15fa75ebb

226

py

Python

jsdb/data.py

talwrii/jsdb

a1134856326bee8625c4a893d595113506597b44

[ "BSD-2-Clause" ]

2

2020-08-28T19:15:11.000Z

2020-09-05T01:49:25.000Z

jsdb/data.py

talwrii/jsdb

a1134856326bee8625c4a893d595113506597b44

[ "BSD-2-Clause" ]

null

jsdb/data.py

talwrii/jsdb

a1134856326bee8625c4a893d595113506597b44

[ "BSD-2-Clause" ]

null

import types import collections JSON_TYPES = (types.NoneType, bool, list, float, int, str, unicode, collections.MutableMapping, collections.MutableSequence) JSON_VALUE_TYPES = (types.NoneType, bool, float, int, str, unicode)

37.666667

124

0.792035

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null

0

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0c69bc8a8603785fbb0dee5eec6b7197c562db6e

81

py

Python

reddit.py

Pyprohly/powershell-bot

8da0831f09af95b2524a1988c44b6d6cb6d0ae0b

[ "MIT" ]

4

2019-02-03T21:01:30.000Z

2019-04-15T19:09:27.000Z

reddit.py

Pyprohly/powershell-bot

8da0831f09af95b2524a1988c44b6d6cb6d0ae0b

[ "MIT" ]

null

reddit.py

Pyprohly/powershell-bot

8da0831f09af95b2524a1988c44b6d6cb6d0ae0b

[ "MIT" ]

null

import praw from config import praw_config reddit = praw.Reddit(**praw_config)

13.5

35

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12

81

5.166667

0.416667

0.322581

0

0.135802

81

5

36

16.2

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1

0

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null

0

1

0

1

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5

0c6d5c7691fc43a1ca6b1827fb215fe8f66c0b73

252

py

Python

problem_5.py

vineeths96/SVM-and-Neural-Networks

84d734542d4f7fc718c49a8d63db07b0597ccbc7

[ "MIT" ]

2

2020-12-07T09:51:40.000Z

2021-05-03T18:29:23.000Z

problem_5.py

vineeths96/SVM-and-Neural-Networks

84d734542d4f7fc718c49a8d63db07b0597ccbc7

[ "MIT" ]

null

problem_5.py

vineeths96/SVM-and-Neural-Networks

84d734542d4f7fc718c49a8d63db07b0597ccbc7

[ "MIT" ]

4

2021-02-22T16:36:50.000Z

2021-09-14T12:50:36.000Z

from problem_5.problem_5_SVM import problem_5_SVM from problem_5.problem_5_DNN import problem_5_DNN from problem_5.problem_5_LSTM import problem_5_LSTM # Problem 5 SVM problem_5_SVM() # Problem 5 DNN problem_5_DNN() # Problem 5 CNN problem_5_LSTM()

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0caa3ab93d9279dc94eb0550b33317b1d966400e

290

py

Python

examples/jsonConfig_EXAMPLE.py

TanmoySG/configPy

2be9b53e8d945227a4f26638472c385062980e64

[ "MIT" ]

1

2022-01-20T11:58:32.000Z

examples/jsonConfig_EXAMPLE.py

TanmoySG/configPy

2be9b53e8d945227a4f26638472c385062980e64

[ "MIT" ]

21

2022-01-19T09:19:16.000Z

2022-02-16T07:15:58.000Z

examples/jsonConfig_EXAMPLE.py

TanmoySG/configPy

2be9b53e8d945227a4f26638472c385062980e64

[ "MIT" ]

null

from configPy import JSONConfigParser importedConfigs = JSONConfigParser(configFilePath="./configFiles/sampleJSONConfig.json").getConfigurations() print("Sample JSONConfigParser Test") print("Module Name: ", importedConfigs["module_name"]) print("Purpose: ", importedConfigs["purpose"])

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0.068966

290

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109

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1

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null

0

1

0

1

0

5

0cb2fd73d767b7c8e894964183a474457ad60924

3,200

py

Python

leetcode_python/Hash_table/find-anagram-mappings.py

yennanliu/Python_basics

6a597442d39468295946cefbfb11d08f61424dc3

[ "Unlicense" ]

18

2019-08-01T07:45:02.000Z

2022-03-31T18:05:44.000Z

leetcode_python/Hash_table/find-anagram-mappings.py

yennanliu/Python_basics

6a597442d39468295946cefbfb11d08f61424dc3

[ "Unlicense" ]

null

leetcode_python/Hash_table/find-anagram-mappings.py

yennanliu/Python_basics

6a597442d39468295946cefbfb11d08f61424dc3

[ "Unlicense" ]

15

2019-12-29T08:46:20.000Z

2022-03-08T14:14:05.000Z

""" LeetCode 760. Find Anagram Mappings Given two lists Aand B, and B is an anagram of A. B is an anagram of A means B is made by randomizing the order of the elements in A. We want to find an index mapping P, from A to B. A mapping P[i] = j means the ith element in A appears in B at index j. These lists A and B may contain duplicates. If there are multiple answers, output any of them. For example, given A = [12, 28, 46, 32, 50] B = [50, 12, 32, 46, 28] We should return [1, 4, 3, 2, 0] as P[0] = 1 because the 0th element of A appears at B[1], and P[1] = 4 because the 1st element of A appears at B[4], and so on. Note: A, B have equal lengths in range [1, 100]. A[i], B[i] are integers in range [0, 10^5]. """ # Time: O(n) # Space: O(n) # Given two lists Aand B, and B is an anagram of A. # B is an anagram of A means B is made by randomizing the order of the elements in A. # # We want to find an index mapping P, from A to B. A mapping P[i] = j # means the ith element in A appears in B at index j. # # These lists A and B may contain duplicates. If there are multiple answers, output any of them. # # For example, given # A = [12, 28, 46, 32, 50] # B = [50, 12, 32, 46, 28] # # We should return # [1, 4, 3, 2, 0] # as P[0] = 1 because the 0th element of A appears at B[1], and P[1] = 4 # because the 1st element of A appears at B[4], and so on. # # Note: # - A, B have equal lengths in range [1, 100]. # - A[i], B[i] are integers in range [0, 10^5]. # V0 import collections class Solution(object): def anagramMappings(self, A, B): """ :type A: List[int] :type B: List[int] :rtype: List[int] """ dmap = collections.defaultdict(list) for i, x in enumerate(B): dmap[x].append(i) return [dmap[x].pop() for x in A] # V0' class Solution(object): def anagramMappings(self, A, B): res = [] for i in A: res.append(B.index(i)) return res # V1 from collections import OrderedDict class Solution(object): def anagramMappings(self, A, B): lookup=OrderedDict() for i in A: #print (i) if i in B: #lookup[B.index(i)] = i lookup[i] = B.index(i) else: pass #print (lookup) return list(lookup.values()) # V2 # http://bookshadow.com/weblog/2018/01/07/leetcode-find-anagram-mappings/ import collections class Solution(object): def anagramMappings(self, A, B): """ :type A: List[int] :type B: List[int] :rtype: List[int] """ dmap = collections.defaultdict(list) for i, x in enumerate(B): dmap[x].append(i) return [dmap[x].pop() for x in A] # V3 import collections class Solution(object): def anagramMappings(self, A, B): """ :type A: List[int] :type B: List[int] :rtype: List[int] """ lookup = collections.defaultdict(collections.deque) for i, n in enumerate(B): lookup[n].append(i) result = [] for n in A: result.append(lookup[n].popleft()) return result

27.586207

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0.475

0

null

0

1

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null

0

5

0cb828278e341584d18db46279076d39e55b9509

150

py

Python

ConcurringAndParallelism/CPU_boundProblem/SillyFunction.py

Raghvender1205/Advance-Python

bc922d86a1a9b3f31b2ea61ab8c3e9e40b7049eb

[ "MIT" ]

null

ConcurringAndParallelism/CPU_boundProblem/SillyFunction.py

Raghvender1205/Advance-Python

bc922d86a1a9b3f31b2ea61ab8c3e9e40b7049eb

[ "MIT" ]

null

ConcurringAndParallelism/CPU_boundProblem/SillyFunction.py

Raghvender1205/Advance-Python

bc922d86a1a9b3f31b2ea61ab8c3e9e40b7049eb

[ "MIT" ]

null

def cpu_bound(n): return sum(i * i for i in range(n)) if __name__ == "__main__": n = int(input()) res = cpu_bound(n) print(res)

21.428571

40

0.56

25

150

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0

0.286667

150

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41

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1

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null

1

0

1

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null

0

1

0

5

0cc26bb368a9e733082de23355516efcf81b6071

465

py

Python

plotly/graph_objs/violin/__init__.py

gnestor/plotly.py

a8ae062795ddbf9867b8578fe6d9e244948c15ff

[ "MIT" ]

12

2020-04-18T18:10:22.000Z

2021-12-06T10:11:15.000Z

plotly/graph_objs/violin/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

27

2020-04-28T21:23:12.000Z

2021-06-25T15:36:38.000Z

plotly/graph_objs/violin/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

6

2020-04-18T23:07:08.000Z

2021-11-18T07:53:06.000Z

from ._unselected import Unselected from plotly.graph_objs.violin import unselected from ._stream import Stream from ._selected import Selected from plotly.graph_objs.violin import selected from ._meanline import Meanline from ._marker import Marker from plotly.graph_objs.violin import marker from ._line import Line from ._hoverlabel import Hoverlabel from plotly.graph_objs.violin import hoverlabel from ._box import Box from plotly.graph_objs.violin import box

33.214286

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465

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0.196335

0.248691

0.405759

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0.111828

465

13

48

35.769231

0.924939

0

1

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true

0

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null

0

1

0

null

0

1

0

1

0

1

0

5

0cd92bf346f1e55bea651a3210c320350dc853ce

71

py

Python

meshparty/meshwork/__init__.py

aplbrain/MeshParty-1

c8ed01dd6ac2827bac3f9ff955b26cb2cd2c17b3

[ "Apache-2.0" ]

16

2019-02-28T01:25:06.000Z

2022-03-10T23:26:37.000Z

meshparty/meshwork/__init__.py

aplbrain/MeshParty-1

c8ed01dd6ac2827bac3f9ff955b26cb2cd2c17b3

[ "Apache-2.0" ]

61

2019-01-12T01:32:31.000Z

2022-02-03T12:29:29.000Z

meshparty/meshwork/__init__.py

aplbrain/MeshParty-1

c8ed01dd6ac2827bac3f9ff955b26cb2cd2c17b3

[ "Apache-2.0" ]

14

2018-09-18T15:43:48.000Z

2022-02-08T17:46:17.000Z

from .meshwork import Meshwork, load_meshwork from . import algorithms

23.666667

45

0.830986

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71

6.444444

0.555556

0

0.126761

71

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0.935484

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0

true

0

1

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null

0

1

0

1

0

1

0

5

0cda1ac264897172650e317a210b50ba6b656421

657

py

Python

hello.py

steven1695-cmis/steven1695-cmis-cs2

ccaaa58c45cfb7602b236a7df85e91bc13486f24

[ "CC0-1.0" ]

null

hello.py

steven1695-cmis/steven1695-cmis-cs2

ccaaa58c45cfb7602b236a7df85e91bc13486f24

[ "CC0-1.0" ]

null

hello.py

steven1695-cmis/steven1695-cmis-cs2

ccaaa58c45cfb7602b236a7df85e91bc13486f24

[ "CC0-1.0" ]

null

print "Hello World" print "LOOLOLOLOL" print "I'm so good at programming. LLOLOL" print "Git gud kid" print "Eternal shame...." print False print True print 2 print 3.1415926535 print False print 03 print ("Nathan", "Happiness", "joy", "depression", 5) print "Scew you mate", "You're a terrible friend" print "how old are you?" "5?" DanielsGPA = 1.4 print DanielsGPA DanielsLoveLife = 2 print DanielsLoveLife print DanielsGPA - DanielsLoveLife print DanielsGPA + DanielsLoveLife print DanielsGPA * DanielsLoveLife print DanielsGPA / DanielsLoveLife print DanielsGPA ** DanielsLoveLife print DanielsGPA % DanielsLoveLife print DanielsGPA // DanielsLoveLife

24.333333

53

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26

54

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0

0.08

0

0.253049

0

null

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null

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null

1

0

null

0

1

0

1

0

5

0b45a28169501545765263c9f1a028a095cec797

199

py

Python

devilry/devilry_message/tests/test_utils.py

aless80/devilry-django

416c262e75170d5662542f15e2d7fecf5ab84730

[ "BSD-3-Clause" ]

29

2015-01-18T22:56:23.000Z

2020-11-10T21:28:27.000Z

devilry/devilry_message/tests/test_utils.py

aless80/devilry-django

416c262e75170d5662542f15e2d7fecf5ab84730

[ "BSD-3-Clause" ]

786

2015-01-06T16:10:18.000Z

2022-03-16T11:10:50.000Z

devilry/devilry_message/tests/test_utils.py

aless80/devilry-django

416c262e75170d5662542f15e2d7fecf5ab84730

[ "BSD-3-Clause" ]

15

2015-04-06T06:18:43.000Z

2021-02-24T12:28:30.000Z

from devilry.devilry_message.utils.subject_generator import SubjectTextGenerator class SubjectTextTestGenerator(SubjectTextGenerator): def get_subject_text(self): return 'Test subject'

28.428571

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6

81

33.166667

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0

1

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1

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5

0b4d0a942af8185c13a69583a502476c61fa0cb1

54

py

Python

datafaucet/elastic/__init__.py

SylarCS/datalabframework

273d91aa04ffb1e86c3a9ca7d58722cfd98537ae

[ "MIT" ]

1

2019-10-31T08:38:47.000Z

datafaucet/elastic/__init__.py

SylarCS/datalabframework

273d91aa04ffb1e86c3a9ca7d58722cfd98537ae

[ "MIT" ]

null

datafaucet/elastic/__init__.py

SylarCS/datalabframework

273d91aa04ffb1e86c3a9ca7d58722cfd98537ae

[ "MIT" ]

3

2019-06-25T09:26:40.000Z

2019-07-16T10:00:03.000Z

from datafaucet.elastic.readwrite import read, write

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1

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5

0b899b935b7dc1d467e414b628b6a76d4b1f84bb

1,586

py

Python

tests/test_to_multipoly.py

SaveTheRbtz/h3-py

f59a1eafed8915d4c35417bf60a6a2f169ea9f23

[ "Apache-2.0" ]

498

2018-07-30T22:45:48.000Z

2022-03-30T13:59:45.000Z

tests/test_to_multipoly.py

SaveTheRbtz/h3-py

f59a1eafed8915d4c35417bf60a6a2f169ea9f23

[ "Apache-2.0" ]

199

2018-07-31T16:55:23.000Z

2022-03-29T16:45:44.000Z

tests/test_to_multipoly.py

SaveTheRbtz/h3-py

f59a1eafed8915d4c35417bf60a6a2f169ea9f23

[ "Apache-2.0" ]

107

2018-07-30T21:09:24.000Z

2022-01-30T22:58:44.000Z

import h3 def test_h3_set_to_multi_polygon(): h = '8928308280fffff' hexes = h3.k_ring(h, 1) mpoly = h3.h3_set_to_multi_polygon(hexes) out = h3.polyfill_polygon(mpoly[0][0], 9, holes=None, lnglat_order=False) assert out == hexes def test_2_polys(): h = '8928308280fffff' hexes = h3.hex_ring(h, 2) hexes = hexes | {h} # hexes should be a center hex, and the 2-ring around it # (with the 1-ring being absent) out = [ h3.polyfill_polygon(poly[0], 9, holes=poly[1:], lnglat_order=False) for poly in h3.h3_set_to_multi_polygon(hexes, geo_json=False) ] assert set.union(*out) == hexes def test_2_polys_json(): h = '8928308280fffff' hexes = h3.hex_ring(h, 2) hexes = hexes | {h} # hexes should be a center hex, and the 2-ring around it # (with the 1-ring being absent) # not deterministic which poly is first.. poly1, poly2 = h3.h3_set_to_multi_polygon(hexes, geo_json=True) assert {len(poly1), len(poly2)} == {1, 2} for poly in poly1, poly2: for loop in poly: assert loop[0] == loop[-1] def test_2_polys_not_json(): h = '8928308280fffff' hexes = h3.hex_ring(h, 2) hexes = hexes | {h} # hexes should be a center hex, and the 2-ring around it # (with the 1-ring being absent) # not deterministic which poly is first.. poly1, poly2 = h3.h3_set_to_multi_polygon(hexes, geo_json=False) assert {len(poly1), len(poly2)} == {1, 2} for poly in poly1, poly2: for loop in poly: assert loop[0] != loop[-1]

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null

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null

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0ba8eabab929f6c591148673213f76672df907e9

46

py

Python

revgraph/core/functions/operations/gradient/__init__.py

shhoalex/revgraph

7060945aa46fbd9584861715f15b6fc8037ba53f

[ "MIT" ]

9

2020-06-27T07:01:00.000Z

2020-10-23T13:50:04.000Z

revgraph/core/functions/operations/gradient/__init__.py

shinghinho/revgraph

7060945aa46fbd9584861715f15b6fc8037ba53f

[ "MIT" ]

null

revgraph/core/functions/operations/gradient/__init__.py

shinghinho/revgraph

7060945aa46fbd9584861715f15b6fc8037ba53f

[ "MIT" ]

null

from .base import * from .optimizers import *

15.333333

25

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0.666667

0

0.173913

46

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26

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0

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0

1

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1

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0

1

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null

0

1

0

1

0

5

e7ec00e6ff95d820a85e84be5ed2dd1c6d71d4f7

136

py

Python

jupyter_MyNodejs_kernel/__main__.py

nufeng1999/jupyter-MyNodejs-kernel

729e0c975d2087304b84418f30d33f9f2ed50dd4

[ "MIT" ]

null

jupyter_MyNodejs_kernel/__main__.py

nufeng1999/jupyter-MyNodejs-kernel

729e0c975d2087304b84418f30d33f9f2ed50dd4

[ "MIT" ]

null

jupyter_MyNodejs_kernel/__main__.py

nufeng1999/jupyter-MyNodejs-kernel

729e0c975d2087304b84418f30d33f9f2ed50dd4

[ "MIT" ]

null

from ipykernel.kernelapp import IPKernelApp from .kernel import MyNodejsKernel IPKernelApp.launch_instance(kernel_class=MyNodejsKernel)

34

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124

py

Python

Grokking Algorithms/sum-dc.py

danielfsousa/algorithms-solutions

038c0c0bf6d89ffb1ecea596e7d4bb9bd4154ff1

[ "MIT" ]

1

2020-03-17T23:54:32.000Z

Grokking Algorithms/sum-dc.py

danielfsousa/algorithms-solutions

038c0c0bf6d89ffb1ecea596e7d4bb9bd4154ff1

[ "MIT" ]

null

Grokking Algorithms/sum-dc.py

danielfsousa/algorithms-solutions

038c0c0bf6d89ffb1ecea596e7d4bb9bd4154ff1

[ "MIT" ]

null

def sum(arr): if len(arr) == 1: return arr[0] return arr[0] + sum(arr[1:]) print(sum([2, 2, 4, 6])) # 14

15.5

32

0.475806

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1

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1

0

null

0

1

0

5

f063d67ef7bb09ebb932a25b98e2dc06a51338ff

405

py

Python

tests/test_simple_time.py

jaden-git/simple-utils

8526ea9a8357665722627ab2c44da527c2884006

[ "Apache-2.0" ]

1

2021-03-08T09:54:05.000Z

tests/test_simple_time.py

jaden-git/simple-utils

8526ea9a8357665722627ab2c44da527c2884006

[ "Apache-2.0" ]

null

tests/test_simple_time.py

jaden-git/simple-utils

8526ea9a8357665722627ab2c44da527c2884006

[ "Apache-2.0" ]

null

import datetime import simple_utils def test_get_kst(): print(simple_utils.time.get_kst()) def test_get_kst_ymd(): print(simple_utils.time.get_kst_ymd()) def get_month_dt_list(): print(simple_utils.time.get_month_dt_list(datetime.datetime(2015, 1, 1))) # def get_kst(): # return datetime.now(timezone('Asia/Seoul')) # def get_kst_ymd(): # return get_kst().strftime('%Y-%m-%d')

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null

0

1

0

1

0

5

f074be859421d873066f6f8e55c38ec5f267a72f

89

py

Python

util/env.py

xmadsen/mafia-slack

3ec384173e538a99c8b419be09e0e459bd84df64

[ "MIT" ]

null

util/env.py

xmadsen/mafia-slack

3ec384173e538a99c8b419be09e0e459bd84df64

[ "MIT" ]

null

util/env.py

xmadsen/mafia-slack

3ec384173e538a99c8b419be09e0e459bd84df64

[ "MIT" ]

null

import os def getEnvVar(name): if name in os.environ: return os.environ[name]

22.25

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null

0

1

0

1

0

5

b2d0eadd78d0ad142d573283d1ee2d301507c29c

115

py

Python

programming_languages_classification/algorithms/__init__.py

contimatteo/Programming-Languages-Classification

34ccf1bd403f55226ed5131d57265df45d314b6f

[ "MIT" ]

1

2022-03-18T12:54:52.000Z

programming_languages_classification/algorithms/__init__.py

contimatteo/Programming-Languages-Classification

34ccf1bd403f55226ed5131d57265df45d314b6f

[ "MIT" ]

5

2021-11-10T19:58:25.000Z

2022-03-19T18:17:41.000Z

programming_languages_classification/algorithms/__init__.py

contimatteo/programming-language-classifier

60847ab91cff4dc20ded1a024d272c75956194a0

[ "MIT" ]

null

# /usr/bin/env python3 from .bayes import NaiveBayes from .svm import SVM from .cnn import CNN from .nn import NN

16.428571

29

0.756522

20

115

4.35

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0.173913

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5

650d5ecc34b604375e16eed1fa3b97b5b7ec81c9

164

py

Python

crontabdb/admin.py

mnosinov/celery_crontab_in_database

2f90e9892e9a702453e9d45cadc9eaeb2a9060be

[ "MIT" ]

null

crontabdb/admin.py

mnosinov/celery_crontab_in_database

2f90e9892e9a702453e9d45cadc9eaeb2a9060be

[ "MIT" ]

null

crontabdb/admin.py

mnosinov/celery_crontab_in_database

2f90e9892e9a702453e9d45cadc9eaeb2a9060be

[ "MIT" ]

1

2022-03-26T02:11:50.000Z

from django.contrib import admin from .models import Scheduler class SchedulerAdmin(admin.ModelAdmin): pass admin.site.register(Scheduler, SchedulerAdmin)

14.909091

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null

0

1

0

1

0

5

6524d0f28cbb2b97eb3a3697d3c68789a4b5ad9b

7,302

py

Python

model.py

TachyonFTL/multirelational-poincare

488b744f060037e6ef896a3343906c01707ae8ad

[ "MIT" ]

null

model.py

TachyonFTL/multirelational-poincare

488b744f060037e6ef896a3343906c01707ae8ad

[ "MIT" ]

null

model.py

TachyonFTL/multirelational-poincare

488b744f060037e6ef896a3343906c01707ae8ad

[ "MIT" ]

null

import numpy as np import torch.nn.functional as F from torch import nn from utils import * class MuRP(torch.nn.Module): def __init__(self, d, dim): super(MuRP, self).__init__() self.Eh = torch.nn.Embedding(len(d.entities), dim, padding_idx=0) self.Eh.weight.data = (1e-3 * torch.randn((len(d.entities), dim), dtype=torch.double, device="cuda")) self.rvh = torch.nn.Embedding(len(d.relations), dim, padding_idx=0) self.rvh.weight.data = (1e-3 * torch.randn((len(d.relations), dim), dtype=torch.double, device="cuda")) self.Wu = torch.nn.Parameter(torch.tensor(np.random.uniform(-1, 1, (len(d.relations), dim)), dtype=torch.double, requires_grad=True, device="cuda")) #self.bs = torch.nn.Parameter(torch.zeros(len(d.entities), dtype=torch.double, requires_grad=True, device="cuda")) #self.bo = torch.nn.Parameter(torch.zeros(len(d.entities), dtype=torch.double, requires_grad=True, device="cuda")) self.loss = torch.nn.BCEWithLogitsLoss() def forward(self, u_idx, r_idx, v_idx): u = self.Eh.weight[u_idx] v = self.Eh.weight[v_idx] Ru = self.Wu[r_idx] rvh = self.rvh.weight[r_idx] u = torch.where(torch.norm(u, 2, dim=-1, keepdim=True) >= 1, u/(torch.norm(u, 2, dim=-1, keepdim=True)-1e-5), u) v = torch.where(torch.norm(v, 2, dim=-1, keepdim=True) >= 1, v/(torch.norm(v, 2, dim=-1, keepdim=True)-1e-5), v) rvh = torch.where(torch.norm(rvh, 2, dim=-1, keepdim=True) >= 1, rvh/(torch.norm(rvh, 2, dim=-1, keepdim=True)-1e-5), rvh) u_e = p_log_map(u) u_W = u_e * Ru u_m = p_exp_map(u_W) v_m = p_sum(v, rvh) u_m = torch.where(torch.norm(u_m, 2, dim=-1, keepdim=True) >= 1, u_m/(torch.norm(u_m, 2, dim=-1, keepdim=True)-1e-5), u_m) v_m = torch.where(torch.norm(v_m, 2, dim=-1, keepdim=True) >= 1, v_m/(torch.norm(v_m, 2, dim=-1, keepdim=True)-1e-5), v_m) sqdist = (2.*artanh(torch.clamp(torch.norm(p_sum(-u_m, v_m), 2, dim=-1), 1e-10, 1-1e-5)))**2 return -sqdist # + self.bs[u_idx] + self.bo[v_idx] # Test: # Number of data points: 5842 # Hits @10: 0.9984594317014721 # Hits @3: 0.984594317014721 # Hits @1: 0.8623758986648408 # Mean rank: 1.2516261554262238 # Mean reciprocal rank: 0.923340773888485 class MuRE(torch.nn.Module): def __init__(self, d, dim): super(MuRE, self).__init__() self.E = torch.nn.Embedding(len(d.entities), dim, padding_idx=0) self.E.weight.data = self.E.weight.data.double() self.E.weight.data = (1e-3 * torch.randn((len(d.entities), dim), dtype=torch.double, device="cuda")) self.Wu = torch.nn.Parameter(torch.tensor(np.random.uniform(-1, 1, (len(d.relations), dim)), dtype=torch.double, requires_grad=True, device="cuda")) print(self.Wu) self.rv = torch.nn.Embedding(len(d.relations), dim, padding_idx=0) self.rv.weight.data = self.rv.weight.data.double() self.rv.weight.data = (1e-3 * torch.randn((len(d.relations), dim), dtype=torch.double, device="cuda")) self.bs = torch.nn.Parameter(torch.zeros(len(d.entities), dtype=torch.double, requires_grad=True, device="cuda")) self.bo = torch.nn.Parameter(torch.zeros(len(d.entities), dtype=torch.double, requires_grad=True, device="cuda")) self.loss = torch.nn.BCEWithLogitsLoss() def forward(self, u_idx, r_idx, v_idx): u = self.E.weight[u_idx] v = self.E.weight[v_idx] Ru = self.Wu[r_idx] rv = self.rv.weight[r_idx] u_size = u.size() print(u.size()) print(Ru.size()) exit() u_W = u * Ru sqdist = torch.sum(torch.pow(u_W - (v+rv), 2), dim=-1) return -sqdist + self.bs[u_idx] + self.bo[v_idx] class EMuRP(torch.nn.Module): def __init__(self, d, dim, dim_hidden, dim_euclid, pretrain_embedding): super(EMuRP, self).__init__() self.Eh = torch.nn.Embedding(len(d.entities), dim, padding_idx=0) self.Eh.weight.data = (1e-3 * torch.randn((len(d.entities), dim), dtype=torch.double, device="cuda")) self.rvh = torch.nn.Embedding(len(d.relations), dim, padding_idx=0) self.rvh.weight.data = (1e-3 * torch.randn((len(d.relations), dim), dtype=torch.double, device="cuda")) self.Wu = torch.nn.Parameter(torch.tensor(np.random.uniform(-1, 1, (len(d.relations), dim)), dtype=torch.double, requires_grad=True, device="cuda")) # self.bs = torch.nn.Parameter(torch.zeros(len(d.entities), dtype=torch.double, requires_grad=True, device="cuda")) # self.bo = torch.nn.Parameter(torch.zeros(len(d.entities), dtype=torch.double, requires_grad=True, device="cuda")) self.euclidean = nn.Embedding(len(d.entities), dim_euclid, padding_idx=0) self.embedding.weight.data.copy_(pretrain_embedding) self.embedding.weight.requires_grad = False self.euclidean_map_0 = nn.Linear(dim_euclid, dim_hidden) self.euclidean_map_1 = nn.Linear(dim_hidden, dim) # self.projection = nn.Linear(dim_euclid, dim) self.loss = torch.nn.BCEWithLogitsLoss() self.loss_1 = torch.nn.MSELoss() def forward(self, u_idx, r_idx, v_idx, phase=1): if phase == 1: u = self.Eh.weight[u_idx] v = self.Eh.weight[v_idx] return self.forward_1(u, r_idx, v) elif phase == 2: return self.forward_2(u_idx, r_idx, v_idx) else: u, v = self.forward_2(u_idx, r_idx, v_idx) return self.forward_1(u, r_idx, v) def forward_1(self, u, r_idx, v): Ru = self.Wu[r_idx] rvh = self.rvh.weight[r_idx] u = torch.where(torch.norm(u, 2, dim=-1, keepdim=True) >= 1, u / (torch.norm(u, 2, dim=-1, keepdim=True) - 1e-5), u) v = torch.where(torch.norm(v, 2, dim=-1, keepdim=True) >= 1, v / (torch.norm(v, 2, dim=-1, keepdim=True) - 1e-5), v) rvh = torch.where(torch.norm(rvh, 2, dim=-1, keepdim=True) >= 1, rvh / (torch.norm(rvh, 2, dim=-1, keepdim=True) - 1e-5), rvh) u_e = p_log_map(u) u_W = u_e * Ru u_m = p_exp_map(u_W) v_m = p_sum(v, rvh) u_m = torch.where(torch.norm(u_m, 2, dim=-1, keepdim=True) >= 1, u_m / (torch.norm(u_m, 2, dim=-1, keepdim=True) - 1e-5), u_m) v_m = torch.where(torch.norm(v_m, 2, dim=-1, keepdim=True) >= 1, v_m / (torch.norm(v_m, 2, dim=-1, keepdim=True) - 1e-5), v_m) sqdist = (2. * artanh(torch.clamp(torch.norm(p_sum(-u_m, v_m), 2, dim=-1), 1e-10, 1 - 1e-5))) ** 2 return -sqdist def forward_2(self, u_idx, r_idx, v_idx): u = self.euclidean(u_idx) v = self.euclidean(v_idx) return self.euclidean_map_1(F.relu(self.euclidean_map_0(u))), \ self.euclidean_map_1(F.relu(self.euclidean_map_0(v)))

49.337838

123

0.578882

1,133

7,302

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0.096205

0.039587

0.028276

0.059012

0.799852

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0.772068

0.759774

0.72117

0

0.041344

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7,302

147

124

49.673469

0.709302

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0.026549

0

null

0

1

0

null

0

5

652c6c90f2aa315619b5e124037b28cf3a13518b

251

py

Python

Cheetah/Unspecified.py

yegorich/cheetah3

35571a00395c4ef937a08ae5a3686700a53bd1d1

[ "MIT" ]

111

2017-03-04T11:35:50.000Z

2022-02-15T08:10:28.000Z

Cheetah/Unspecified.py

yegorich/cheetah3

35571a00395c4ef937a08ae5a3686700a53bd1d1

[ "MIT" ]

49

2017-03-21T18:31:43.000Z

2022-02-20T11:30:40.000Z

Cheetah/Unspecified.py

yegorich/cheetah3

35571a00395c4ef937a08ae5a3686700a53bd1d1

[ "MIT" ]

38

2017-03-21T00:44:43.000Z

2021-09-18T09:45:13.000Z

try: from ds.sys.Unspecified import Unspecified except ImportError: class _Unspecified: def __repr__(self): return 'Unspecified' def __str__(self): return 'Unspecified' Unspecified = _Unspecified()

22.818182

46

0.63745

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251

6.521739

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0.28

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251

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0

null

0

1

0

1

0

5

654b7b3c1371f62e5e6ab5752d8e2c722039caa6

4,921

py

Python

tests/test_basic.py

gwurster/ApplyPlus

56b88eb3cb63a887065cb172d1604498e4dd49f9

[ "MIT" ]

1

2021-08-01T01:42:04.000Z

tests/test_basic.py

gwurster/ApplyPlus

56b88eb3cb63a887065cb172d1604498e4dd49f9

[ "MIT" ]

5

2021-09-07T00:31:43.000Z

2022-03-11T15:39:18.000Z

tests/test_basic.py

gwurster/ApplyPlus

56b88eb3cb63a887065cb172d1604498e4dd49f9

[ "MIT" ]

1

2021-04-16T18:16:05.000Z

#!/usr/bin/env python3 import unittest import sys import os import re sys.path.append(os.path.join(os.path.dirname(__file__), "..", ".")) import scripts.patch_context.context_changes as context import scripts.patch_apply.patchParser as parse def GenerateTestName(filename): if filename.endswith('.patch'): filename = filename[:-6] filename = filename.replace('-', '_') filename = re.sub( r'[^\w]+', '', filename, flags=re.ASCII ) return filename class AppliedPatchTests(type): def __new__(mcls, name, bases, attrs): obj = super().__new__(mcls, name, bases, attrs) patchpath = os.path.abspath( os.path.join(os.path.dirname(__file__), 'patches', 'applied')) for filename in os.listdir(patchpath): if not filename.endswith('.patch'): continue testname = GenerateTestName(filename) filename = os.path.join(patchpath, filename) if not hasattr(obj, 'test_' + testname): setattr(obj, 'test_' + testname, mcls.build_test(filename)) return obj def build_test(test_filename): def f(self): patch_file = parse.PatchFile(test_filename) patch_file.getPatch() # There should only be one hunk in this file. self.assertEqual( len(patch_file.patches), 1 ) for hunk in patch_file.patches: result = context.context_changes(hunk) self.assertEqual(result.messages, "No context related issues found.") for hunk in patch_file.patches: filename = os.path.join( os.getcwd(), hunk.getFileName() ) self.assertTrue( os.path.isfile(filename), filename ) result = hunk.canApply() self.assertFalse( result, hunk ) return f class TestApplied(unittest.TestCase, metaclass=AppliedPatchTests): def setUp(self): self.oldcwd=os.getcwd() os.chdir(os.path.dirname(__file__)) def tearDown(self): os.chdir(self.oldcwd) pass class PatchTests(type): def __new__(mcls, name, bases, attrs): obj = super().__new__(mcls, name, bases, attrs) patchpath = os.path.abspath( os.path.join(os.path.dirname(__file__), 'patches', 'clean')) for filename in os.listdir(patchpath): if not filename.endswith('.patch'): continue testname = GenerateTestName(filename) filename = os.path.join(patchpath, filename) if not hasattr(obj, 'test_' + testname): setattr(obj, 'test_' + testname, mcls.build_test(filename)) return obj def build_test(test_filename): def f(self): patch_file = parse.PatchFile(test_filename) patch_file.getPatch() # There should only be one hunk in this file. self.assertEqual( len(patch_file.patches), 1 ) for hunk in patch_file.patches: result = context.context_changes(hunk) self.assertEqual(result.messages, "No context related issues found.") for hunk in patch_file.patches: filename = os.path.join( os.getcwd(), hunk.getFileName() ) self.assertTrue( os.path.isfile(filename), filename ) result = hunk.canApply() self.assertTrue( result, hunk ) return f class TestPatches(unittest.TestCase, metaclass=PatchTests): def setUp(self): self.oldcwd=os.getcwd() os.chdir(os.path.dirname(__file__)) def tearDown(self): os.chdir(self.oldcwd) def test_no_patch(self): patch_file = parse.PatchFile("patches/does-not-exist.patch") self.assertRaises( FileNotFoundError, patch_file.getPatch ) def test_no_file(self): patch_file = parse.PatchFile("patches/no-file.patch") patch_file.getPatch() # There should only be one hunk in this file. self.assertEqual( len(patch_file.patches), 1 ) for hunk in patch_file.patches: result = context.context_changes(hunk) self.assertRegex(result.messages, r'^The file .* does not exist$') def test_name_change(self): patch_file = parse.PatchFile("patches/name-change.patch") patch_file.getPatch() # There should only be one hunk in this file. self.assertEqual( len(patch_file.patches), 1 ) for hunk in patch_file.patches: result = context.context_changes(hunk) self.assertRegex(result.messages, r'^The file .* does not exist$') def test_two_changes(self): patch_file = parse.PatchFile("patches/clean/two-changes.patch") patch_file.getPatch() # There should only be one hunk in this file. self.assertEqual( len(patch_file.patches), 2 ) if __name__ == "__main__": unittest.main()

33.026846

85

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0

null

0

1

0

null

0

5

e8eca9cc2907a1ee91ee3e45b7e7d7ffd88a0067

1,223

py

Python

utilities/configUtilities.py

devonps/talesfromticronem

6b6e9b039b0091cce2f52677974eeb832cf13e36

[ "MIT" ]

4

2020-04-11T12:29:52.000Z

2021-01-25T00:37:56.000Z

utilities/configUtilities.py

devonps/talesfromticronem

6b6e9b039b0091cce2f52677974eeb832cf13e36

[ "MIT" ]

66

2020-04-06T09:36:45.000Z

2022-03-12T00:36:29.000Z

utilities/configUtilities.py

devonps/talesfromticronem

6b6e9b039b0091cce2f52677974eeb832cf13e36

[ "MIT" ]

null

import configparser def load_config(): config = configparser.ConfigParser() config.read('config.ini') return config def get_config_value_as_string(configfile, section, parameter): # strip quotes from the string raw_parameter = configfile[section][parameter] clean_parm = raw_parameter.translate({ord(i): None for i in '\"\''}) return clean_parm def get_config_value_as_text(configfile, section, parameter): return configfile[section][parameter] def get_config_value_as_integer(configfile, section, parameter): return int(configfile[section][parameter]) def get_config_value_as_float(configfile, section, parameter): return float(configfile[section][parameter]) def get_config_file_sections(configfile): return configfile.sections() def set_config_value(configfile, section, parameter, value): configfile[section][parameter] = value def get_config_value_as_list(configfile, section, parameter): my_str = get_config_value_as_text(configfile, section, parameter) # now break this out into a list mylist = my_str.split(",") return mylist def update_game_state(configfile, section, parameter, value): configfile[section][parameter] = value

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1,223

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null

1

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null

0

1

0

1

0

5

3331792980d99edf1303becc52c8f51fc94d418a

157

py

Python

My_blog/blueprints/blog.py

SinTod/My_blog

024d9032b59d97678dea75acc73a31150e81c540

[ "MIT" ]

null

My_blog/blueprints/blog.py

SinTod/My_blog

024d9032b59d97678dea75acc73a31150e81c540

[ "MIT" ]

null

My_blog/blueprints/blog.py

SinTod/My_blog

024d9032b59d97678dea75acc73a31150e81c540

[ "MIT" ]

null

# -*- coding:utf-8 -*- ''' * @Author: SinTod * @Date: 2018-10-15 17:33:14 * @Desc: ''' from flask import Blueprint blog_bp = Blueprint('blog', __name__)

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py

Python

aliyun-python-sdk-ecs/aliyunsdkecs/__init__.py

silent-beaters/aliyun-openapi-python-sdk

7a025eabdad622af07affc3a7beeae1c5def469d

[ "Apache-2.0" ]

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2015-07-24T01:32:41.000Z

2022-03-25T01:28:18.000Z

aliyun-python-sdk-ecs/aliyunsdkecs/__init__.py

silent-beaters/aliyun-openapi-python-sdk

7a025eabdad622af07affc3a7beeae1c5def469d

[ "Apache-2.0" ]

363

2015-10-20T03:15:00.000Z

2022-03-08T12:26:19.000Z

aliyun-python-sdk-ecs/aliyunsdkecs/__init__.py

silent-beaters/aliyun-openapi-python-sdk

7a025eabdad622af07affc3a7beeae1c5def469d

[ "Apache-2.0" ]

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2015-09-22T07:19:02.000Z

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__version__ = '4.24.11'

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py

Python

aws/api/KMS.py

fdimant/aws-security-test

f751661e4b9a7a2c09c7a0464700e078820cf384

[ "Apache-2.0" ]

9

2017-07-07T17:24:05.000Z

2021-05-18T14:49:29.000Z

aws/api/KMS.py

mikhailadvani/cis-aws-automation

f751661e4b9a7a2c09c7a0464700e078820cf384

[ "Apache-2.0" ]

1

2017-08-20T13:54:29.000Z

aws/api/KMS.py

mikhailadvani/cis-aws-automation

f751661e4b9a7a2c09c7a0464700e078820cf384

[ "Apache-2.0" ]

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2017-04-07T16:43:41.000Z

2020-11-07T15:37:39.000Z

import boto3 class KMS: def __init__(self): self.kms = boto3.client('kms') def getKeys(self): return self.kms.list_keys() def getRotationStatus(self, keyId): return self.kms.get_key_rotation_status(KeyId=keyId) def describeKey(self, keyId): return self.kms.describe_key(KeyId=keyId)

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py

Python

lib/nn/__init__.py

zhjpqq/Detectron.pytorch

8315af319cd29b8884a7c0382c4700a96bf35bbc

[ "MIT" ]

2,837

2018-04-16T17:29:46.000Z

2022-03-31T12:03:49.000Z

lib/nn/__init__.py

zhjpqq/Detectron.pytorch

8315af319cd29b8884a7c0382c4700a96bf35bbc

[ "MIT" ]

208

2018-04-17T12:46:12.000Z

2021-07-30T14:40:15.000Z

lib/nn/__init__.py

zhjpqq/Detectron.pytorch

8315af319cd29b8884a7c0382c4700a96bf35bbc

[ "MIT" ]

624

2018-04-16T20:52:25.000Z

2022-03-19T12:51:21.000Z

from .modules import * from .parallel import DataParallel from . import init

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py

Python

docs/tests/E1128.py

mrfyda/codacy-pylint-python3

e360f6c0407edebe274835d3a881d67e96adf8ba

[ "Apache-2.0" ]

17

2016-01-26T13:30:04.000Z

2022-03-06T21:11:42.000Z

docs/tests/E1128.py

mrfyda/codacy-pylint-python3

e360f6c0407edebe274835d3a881d67e96adf8ba

[ "Apache-2.0" ]

50

2019-08-14T16:14:45.000Z

2022-03-31T11:00:50.000Z

docs/tests/E1128.py

mrfyda/codacy-pylint-python3

e360f6c0407edebe274835d3a881d67e96adf8ba

[ "Apache-2.0" ]

15

2015-11-18T12:18:50.000Z

2021-01-17T22:21:41.000Z

##Patterns: E1128 def test(): return None ##Err: E1128 no_value_returned = test()

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py

Python

python/hidebound/__init__.py

theNewFlesh/nerve

4e430db20cf69cb065318806edf13656b5b035c0

[ "MIT" ]

3

2020-05-18T11:56:50.000Z

2021-12-27T17:23:34.000Z

python/hidebound/__init__.py

theNewFlesh/nerve

4e430db20cf69cb065318806edf13656b5b035c0

[ "MIT" ]

8

2021-05-17T23:44:44.000Z

2021-07-13T00:58:04.000Z

python/hidebound/__init__.py

theNewFlesh/nerve

4e430db20cf69cb065318806edf13656b5b035c0

[ "MIT" ]

1

2020-12-04T20:04:00.000Z

''' A local database framework for defining and validating assets. Author: Alex Braun Email: Alexander.G.Braun@gmail.com Github: https://github.com/theNewFlesh ''' import hidebound.core # noqa F401 import hidebound.exporters # noqa F401 import hidebound.server # noqa F401

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py

Python

features/environment.py

aragaer/pa2human

855eafe35bfd332ac8ecd59cc84d66ac9f9a41d4

[ "MIT" ]

null

features/environment.py

aragaer/pa2human

855eafe35bfd332ac8ecd59cc84d66ac9f9a41d4

[ "MIT" ]

null

features/environment.py

aragaer/pa2human

855eafe35bfd332ac8ecd59cc84d66ac9f9a41d4

[ "MIT" ]

null

from runner import Runner def before_all(context): context.runner = Runner()

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py

Python

plots.py

Carmen-Lewis/SolarRadiation_QC

e396eba0112ee3c8d8b0ef3ecd73e639ba4a825b

[ "MIT" ]

null

plots.py

Carmen-Lewis/SolarRadiation_QC

e396eba0112ee3c8d8b0ef3ecd73e639ba4a825b

[ "MIT" ]

null

plots.py

Carmen-Lewis/SolarRadiation_QC

e396eba0112ee3c8d8b0ef3ecd73e639ba4a825b

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Fri May 21 14:16:00 2021 @author: Carmen Lewis (carmen@solarXY.org) Test and result plots for QC tests. """ import matplotlib.pyplot as plt from matplotlib.pylab import rcParams plt.rcParams.update({'font.size': 12, 'font.family': 'cmr10', 'mathtext.fontset': 'cm'}) import datetime as dt from calendar import monthrange import pandas as pd import seaborn as sns import numpy as np #colour range cl = ['#9e0142','#d53e4f','#f46d43','#fdae61', '#abdda4', '#66c2a5', '#3288bd', '#5e4fa2'] def GHI(df): rcParams['figure.figsize'] = 20, 2 fig, ax = plt.subplots(1, 1) #slice dataset to specific year & month df1 = df[(df['DateTime'].dt.year == 2019) & (df['DateTime'].dt.month == 1)] ax.plot(df1['SumSW'], lw=0.8, color=cl[1], label='Calculated') ax.plot(df1['GHI'], lw=0.8, color='black', label='Measured') ax.legend() def DAA_compareTestPlot(df): rcParams['figure.figsize'] = 20, 10 fig, ax = plt.subplots(3, 1, sharex=True, sharey=True) #slice dataset to specific year & month df1 = df[(df['DateTime'].dt.year == 2019) & (df['DateTime'].dt.month == 1)] ax[0].title.set_text('DAA: QC Physical Tests') ax[0].plot(df1['DateTime'], df1['GHI'], lw=0.8, color='black') ax[0].plot(df1['G_flag1'], lw=5, color=cl[1]) ax[0].plot(df1['G_flag2'], lw=5, color=cl[6]) ax[0].set_ylabel('GHI') ax[0].set_ylim(0, 1490) ax[0].set_xlim(dt.datetime(2019, 1, 1, 0, 0, 0), dt.datetime(2019, 1, 30, 23, 59, 0)) ax[0].text(dt.datetime(2019, 1, 1, 5, 30, 0), 1350, 'T1') ax[0].text(dt.datetime(2019, 1, 29, 12, 0, 0), 1350, "Failed: %s" %df1['F_G1_fail'].count()) ax[1].plot(df1['DateTime'], df1['DNI'], lw=0.8, color='black') #ax[1].plot(df1['F_I1_fail'], lw=5, color=cl[1]) ax[1].set_ylabel('DNI') ax[1].text(dt.datetime(2019, 1, 1, 5, 30, 0), 1350, 'T2') ax[1].text(dt.datetime(2019, 1, 29, 12, 0, 0), 1350, "Failed: %s" %df1['F_I1_fail'].count()) ax[2].plot(df1['DateTime'], df1['DHI'], lw=0.8, color='black') ax[2].plot(df1['D_flag1'], lw=5, color=cl[1]) ax[2].plot(df1['D_flag2'], lw=5, color=cl[6]) ax[2].set_ylabel('DHI') ax[2].set_xlabel('Date') ax[2].text(dt.datetime(2019, 1, 1, 5, 30, 0), 1350, 'T3') ax[2].text(dt.datetime(2019, 1, 29, 12, 0, 0), 1350, "Failed: %s" %df1['F_D1_fail'].count()) fig.subplots_adjust(wspace=0, hspace=0) plt.savefig('ComparativeTests_DAA.png', bbox_inches='tight', format='png', dpi=600) def DAA_physicalTestPlot(df): rcParams['figure.figsize'] = 20, 10 fig, ax = plt.subplots(3, 1, sharex=True, sharey=True) #slice dataset to specific year & month df1 = df[(df['DateTime'].dt.year == 2019) & (df['DateTime'].dt.month == 1)] ax[0].title.set_text('DAA: QC Physical Tests') ax[0].plot(df1['DateTime'], df1['GHI'], lw=0.8, color='black') ax[0].plot(df1['F_G1_fail'], lw=5, color=cl[1]) ax[0].set_ylabel('GHI') ax[0].set_ylim(0, 1490) ax[0].set_xlim(dt.datetime(2019, 1, 1, 0, 0, 0), dt.datetime(2019, 1, 30, 23, 59, 0)) ax[0].text(dt.datetime(2019, 1, 1, 5, 30, 0), 1350, 'T1') ax[0].text(dt.datetime(2019, 1, 29, 12, 0, 0), 1350, "Failed: %s" %df1['F_G1_fail'].count()) ax[1].plot(df1['DateTime'], df1['DNI'], lw=0.8, color='black') ax[1].plot(df1['F_I1_fail'], lw=5, color=cl[1]) ax[1].set_ylabel('DNI') ax[1].text(dt.datetime(2019, 1, 1, 5, 30, 0), 1350, 'T2') ax[1].text(dt.datetime(2019, 1, 29, 12, 0, 0), 1350, "Failed: %s" %df1['F_I1_fail'].count()) ax[2].plot(df1['DateTime'], df1['DHI'], lw=0.8, color='black') ax[2].plot(df1['F_D1_fail'], lw=5, color=cl[1]) ax[2].set_ylabel('DHI') ax[2].set_xlabel('Date') ax[2].text(dt.datetime(2019, 1, 1, 5, 30, 0), 1350, 'T3') ax[2].text(dt.datetime(2019, 1, 29, 12, 0, 0), 1350, "Failed: %s" %df1['F_D1_fail'].count()) fig.subplots_adjust(wspace=0, hspace=0) plt.savefig('PhysicalTests_DAA.png', bbox_inches='tight', format='png', dpi=600) def press_temp(df): #rcParams['figure.figsize'] = 20, 2 #fig, ax = plt.subplots(2, 1) df['year'] = df.index.year piv = pd.pivot_table(df, index=['doy'], columns=['year'], values=['T']) piv.plot() piv = pd.pivot_table(df, index=['doy'], columns=['year'], values=['P']) piv.plot() #ax.plot(piv) #ax.legend()

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0406e85a6e0d580f5b96996c601e636eebb5c3b1

276

py

Python

dbsg/plugins/__init__.py

jjj4x/dbsg

c7379883e9f68453740ccfc21f49f4d2eaa8dc25

[ "Apache-2.0" ]

null

dbsg/plugins/__init__.py

jjj4x/dbsg

c7379883e9f68453740ccfc21f49f4d2eaa8dc25

[ "Apache-2.0" ]

null

dbsg/plugins/__init__.py

jjj4x/dbsg

c7379883e9f68453740ccfc21f49f4d2eaa8dc25

[ "Apache-2.0" ]

null

""" All the standard plugins. Importing the package all the plugins will be auto-registered. """ from dbsg.plugins.json_plugin import JSONPlugin from dbsg.plugins.python3_7_plugin import Python37Plugin from dbsg.plugins.raw_introspection_plugin import RAWIntrospectionPlugin

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040d9e152654985493c2f8ebacc66261f4dae5e2

153

py

Python

pygsuite/docs/footers.py

gitter-badger/pygsuite

536766c36f653edbc7585141f1c3327f508e19da

[ "MIT" ]

null

pygsuite/docs/footers.py

gitter-badger/pygsuite

536766c36f653edbc7585141f1c3327f508e19da

[ "MIT" ]

null

pygsuite/docs/footers.py

gitter-badger/pygsuite

536766c36f653edbc7585141f1c3327f508e19da

[ "MIT" ]

null

class Footers(object): def __init__(self, footers: dict, document): # TODO self._footers = footers self._document = document

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04397be770313179dfdda0b4a967450bb1be6e88

31

py

Python

digipathos/__init__.py

bresan/digipathos_plant_pathology

fab70cb42e1ee8e32ec76ad04126b299d1ef3d9f

[ "MIT" ]

25

2020-02-05T11:17:01.000Z

2020-05-25T20:36:12.000Z

digipathos/__init__.py

bresan/digipathos_plant_pathology

fab70cb42e1ee8e32ec76ad04126b299d1ef3d9f

[ "MIT" ]

1

2020-09-19T09:18:26.000Z

digipathos/__init__.py

bresan/digipathos_plant_pathology

fab70cb42e1ee8e32ec76ad04126b299d1ef3d9f

[ "MIT" ]

7

2020-07-15T04:07:40.000Z

2021-02-20T10:37:47.000Z

# import digipathos.cli.browser

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f0a425084682c4fbfb7d4618e35b79edca2c5bfb

186

py

Python

src/graph_transpiler/webdnn/backend/fallback/kernels/sqrt.py

urantialife/webdnn

dedc5da424288594cdfa605a015ddc7a3afcf2b7

[ "MIT" ]

1

2021-04-09T15:55:35.000Z

src/graph_transpiler/webdnn/backend/fallback/kernels/sqrt.py

urantialife/webdnn

dedc5da424288594cdfa605a015ddc7a3afcf2b7

[ "MIT" ]

null

src/graph_transpiler/webdnn/backend/fallback/kernels/sqrt.py

urantialife/webdnn

dedc5da424288594cdfa605a015ddc7a3afcf2b7

[ "MIT" ]

null

from webdnn.backend.fallback.kernels.elementwise import register_elementwise_kernel from webdnn.graph.operators.sqrt import Sqrt register_elementwise_kernel(Sqrt, "y = Math.sqrt(x0);")

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py

Python

flask_request_arg/__init__.py

Martlark/flask-request-arg

d6694beb0fa9d39ca93728a4e3b9391c07e4b013

[ "Apache-2.0" ]

null

flask_request_arg/__init__.py

Martlark/flask-request-arg

d6694beb0fa9d39ca93728a4e3b9391c07e4b013

[ "Apache-2.0" ]

null

flask_request_arg/__init__.py

Martlark/flask-request-arg

d6694beb0fa9d39ca93728a4e3b9391c07e4b013

[ "Apache-2.0" ]

null

from .request_arg import *

13.5

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5

0b1910e46b068e97be9b9a730f8ab47ae27896ad

68

py

Python

apps/characters/models/__init__.py

Sult/daf

a4da9e8c96f70577e2490c05e82bdf7d0de1a563

[ "MIT" ]

null

apps/characters/models/__init__.py

Sult/daf

a4da9e8c96f70577e2490c05e82bdf7d0de1a563

[ "MIT" ]

null

apps/characters/models/__init__.py

Sult/daf

a4da9e8c96f70577e2490c05e82bdf7d0de1a563

[ "MIT" ]

null

from .characters import * from .skills import * from .misc import *

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9bde0210672871d7ee2f66ffbf2f4b459713d3f2

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py

Python

Tr4PrFnPredLib/tokenizer/Tokenizer.py

Tr4PrFnPred/TransformerProteinFunctionPredLib

115dd4105631f96e05409fd9e7f6186ecb5df898

[ "MIT" ]

1

2021-04-13T21:03:10.000Z

Tr4PrFnPredLib/tokenizer/Tokenizer.py

Tr4PrFnPred/TransformerProteinFunctionPredLib

115dd4105631f96e05409fd9e7f6186ecb5df898

[ "MIT" ]

1

2021-04-13T22:27:45.000Z

Tr4PrFnPredLib/tokenizer/Tokenizer.py

Tr4PrFnPred/Tr4PrFnPredLib

115dd4105631f96e05409fd9e7f6186ecb5df898

[ "MIT" ]

null

from abc import ABC, abstractmethod class Tokenizer(ABC): @abstractmethod def tokenize(self, sequence): pass

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1

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null

0

1

0

1

0

5

5004f03a18ba7d558186e8658cb7b71d9925ea43

129

py

Python

src/tokens/__init__.py

thelennylord/yamu

60c7130278cde696561b3de1c997f8e843ecc116

[ "MIT" ]

null

src/tokens/__init__.py

thelennylord/yamu

60c7130278cde696561b3de1c997f8e843ecc116

[ "MIT" ]

null

src/tokens/__init__.py

thelennylord/yamu

60c7130278cde696561b3de1c997f8e843ecc116

[ "MIT" ]

null

from .indentation_token import IndentationToken from .literal_token import LiteralToken from .redirect_token import RedirectToken

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1

0

null

0

1

0

1

0

5

500e4bea0a2b75bda57c4efaebce3f226d71cada

213

py

Python

balebot/filters/photo_filter.py

ehsanbarkhordar/reminder_bot

c72e664c71658dd2ec30bb610ffc836b53f000b9

[ "MIT" ]

null

balebot/filters/photo_filter.py

ehsanbarkhordar/reminder_bot

c72e664c71658dd2ec30bb610ffc836b53f000b9

[ "MIT" ]

null

balebot/filters/photo_filter.py

ehsanbarkhordar/reminder_bot

c72e664c71658dd2ec30bb610ffc836b53f000b9

[ "MIT" ]

null

from balebot.models.messages.photo_message import PhotoMessage from balebot.filters.filter import Filter class PhotoFilter(Filter): def match(self, message): return isinstance(message, PhotoMessage)

26.625

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0.140845

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7

63

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0

1

0.2

false

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0.2

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1

0

null

0

1

0

null

0

1

0

5

50257186174d8f0f0f336694e7a9860a20a73227

45

py

Python

src/functions/authorizers/slack/authorizer.py

brysontyrrell/Jackalope-Serverless

502ef727db4492f1a471b1dbeae7431a31705ce4

[ "MIT" ]

null

src/functions/authorizers/slack/authorizer.py

brysontyrrell/Jackalope-Serverless

502ef727db4492f1a471b1dbeae7431a31705ce4

[ "MIT" ]

null

src/functions/authorizers/slack/authorizer.py

brysontyrrell/Jackalope-Serverless

502ef727db4492f1a471b1dbeae7431a31705ce4

[ "MIT" ]

null

def lambda_handler(event, context): pass

15

35

0.733333

6

45

5.333333

1

0

0.177778

45

2

36

22.5

0.864865

0

1

0.5

false

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

503ae58c08283cd5aafe01089de3a24516fb4f79

77

py

Python

divmachines/topk/lfp/__init__.py

DanielMorales9/FactorizationPyTorch

50f0644fdb4a903550fb3f1ba78fb9fb8649ceb1

[ "MIT" ]

4

2017-12-14T22:34:35.000Z

2019-07-12T17:18:34.000Z

divmachines/topk/lfp/__init__.py

DanielMorales9/FactorizationPyTorch

50f0644fdb4a903550fb3f1ba78fb9fb8649ceb1

[ "MIT" ]

null

divmachines/topk/lfp/__init__.py

DanielMorales9/FactorizationPyTorch

50f0644fdb4a903550fb3f1ba78fb9fb8649ceb1

[ "MIT" ]

1

2017-12-14T22:35:00.000Z

from .mf import MF_LFP from .fm import FM_LFP __all__ = ['MF_LFP', 'FM_LFP']

19.25

30

0.714286

15

77

3.133333

0.4

0.212766

0

0.155844

77

4

30

19.25

0.723077

0

0.153846

0

1

0

false

0

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0

0.666667

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0

null

1

0

1

0

null

0

1

0

1

0

5

503c364e1d372de082dd176caaf7aad5697dd0c1

245

py

Python

website/maintenance/admin/maintenance_provider.py

JobDoesburg/landolfio

4cbf31c2e6f93745f5aa0d20893bf20f3acecc6e

[ "MIT" ]

1

2021-02-24T14:33:09.000Z

website/maintenance/admin/maintenance_provider.py

JobDoesburg/landolfio

4cbf31c2e6f93745f5aa0d20893bf20f3acecc6e

[ "MIT" ]

2

2022-01-13T04:03:38.000Z

2022-03-12T01:03:10.000Z

website/maintenance/admin/maintenance_provider.py

JobDoesburg/landolfio

4cbf31c2e6f93745f5aa0d20893bf20f3acecc6e

[ "MIT" ]

null

from django.contrib import admin from maintenance.models import MaintenanceProvider @admin.register(MaintenanceProvider) class AssetMaintenanceTicketAdmin(admin.ModelAdmin): class Media: """Necessary to use AutocompleteFilter."""

24.5

52

0.795918

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245

8.478261

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0

0.130612

245

9

53

27.222222

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0

1

0

true

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null

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0

null

0

1

0

1

0

1

0

5

ac8fb0a3485e44d61352b2ab0d7fd88199adf3d6

207

py

Python

tests/test_syntax.py

PrVrSs/pywebidl2

4f4d541495c4734b9e3f096fb409f1165b213bc2

[ "MIT" ]

2

2020-06-16T11:39:36.000Z

2022-03-01T11:55:59.000Z

tests/test_syntax.py

PrVrSs/pywebidl2

4f4d541495c4734b9e3f096fb409f1165b213bc2

[ "MIT" ]

null

tests/test_syntax.py

PrVrSs/pywebidl2

4f4d541495c4734b9e3f096fb409f1165b213bc2

[ "MIT" ]

null

import json from pywebidl2 import pretty_parse def test_syntax(syntax_fixture): with syntax_fixture.baseline.open() as expected: assert pretty_parse(syntax_fixture.idl) == json.load(expected)

23

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0.772947

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207

5.5

0.642857

0.253247

0

0.005682

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207

8

71

25.875

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0

0.2

1

0.2

false

0

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0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

aca93251cac59a6b9706bee9e2ed6d4360ea69ec

83

py

Python

atlas/scripts/utils/__init__.py

Leitemfa/atlas

59da38f63bb9f40ab0cf4b96fbc787b68ebecd7c

[ "BSD-3-Clause" ]

null

atlas/scripts/utils/__init__.py

Leitemfa/atlas

59da38f63bb9f40ab0cf4b96fbc787b68ebecd7c

[ "BSD-3-Clause" ]

null

atlas/scripts/utils/__init__.py

Leitemfa/atlas

59da38f63bb9f40ab0cf4b96fbc787b68ebecd7c

[ "BSD-3-Clause" ]

1

2019-12-18T03:02:09.000Z

from . import parsers_bbmap, parsers_checkm from .utils import gen_names_for_range

27.666667

43

0.855422

13

83

5.076923

0.769231

0

0.108434

83

2

44

41.5

0.891892

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

acc79a39fdb73350e374677050dcfea577ff0e19

83

py

Python

spideroptic/bootstrap.py

fearless-spider/spideroptic-cli

f74b88ae9eeafa8a11e2b94c64b847f39792c0bb

[ "BSD-3-Clause" ]

7

2019-05-17T06:56:37.000Z

2022-03-18T16:54:48.000Z

spideroptic/bootstrap.py

fearless-spider/spideroptic-cli

f74b88ae9eeafa8a11e2b94c64b847f39792c0bb

[ "BSD-3-Clause" ]

5

2018-12-07T13:06:35.000Z

2019-12-13T15:32:51.000Z

spideroptic/bootstrap.py

fearless-spider/spideroptic-cli

f74b88ae9eeafa8a11e2b94c64b847f39792c0bb

[ "BSD-3-Clause" ]

9

2019-08-22T06:15:39.000Z

2021-10-04T09:08:50.000Z

from .controllers.base import Base def load(app): app.handler.register(Base)

13.833333

34

0.73494

12

83

5.083333

0.75

0

0.156627

83

5

35

16.6

0.871429

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

acd1d0933bd96f2c1b17e538e3b170a245d00e13

41

py

Python

src/back/tests/__init__.py

khamidou/kite

c049faf8522c8346c22c70f2a35a35db6b4a155d

[ "BSD-3-Clause" ]

136

2015-01-06T01:14:35.000Z

2022-01-20T17:04:52.000Z

src/back/tests/__init__.py

marufsiddiqui/kite

6cc1c644c6101f3b076969ad2c732842ed71f09b

[ "BSD-3-Clause" ]

3

2016-01-14T21:37:10.000Z

2019-04-17T02:44:08.000Z

src/back/tests/__init__.py

marufsiddiqui/kite

6cc1c644c6101f3b076969ad2c732842ed71f09b

[ "BSD-3-Clause" ]

38

2015-02-28T14:12:26.000Z

2021-01-17T21:01:02.000Z

# used to debug interactively unit tests

20.5

40

0.804878

6

41

5.5

1

0

0.170732

41

1

41

0.970588

0.926829

0

null

0

null

0

null

0

null

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null

true

0

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null

0

1

0

1

0

null

0

1

0

5

ace6055aa6b589b4cb0439e022e237fc508d62c5

261

py

Python

apps/methodologies/admin.py

l3l3l/vulnman

f9d520dbf9f6838c459741bb1173a0382d5ecfd6

[ "MIT" ]

null

apps/methodologies/admin.py

l3l3l/vulnman

f9d520dbf9f6838c459741bb1173a0382d5ecfd6

[ "MIT" ]

null

apps/methodologies/admin.py

l3l3l/vulnman

f9d520dbf9f6838c459741bb1173a0382d5ecfd6

[ "MIT" ]

null

from django.contrib import admin from apps.methodologies import models # Register your models here. admin.site.register(models.Methodology) admin.site.register(models.Task) admin.site.register(models.ProjectMethodology) admin.site.register(models.ProjectTask)

29

46

0.83908

34

261

6.441176

0.470588

0.164384

0.310502

0.420091

0

0.068966

261

8

47

32.625

0.901235

0.099617

0

1

0

true

0

0.333333

0

0.333333

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null

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1

0

1

0

null

0

1

0

1

0

5

4a0583c081927bd3e331b829d8c6926f68fb849b

138

py

Python

lib/egauge/constants.py

goztrk/django-htk

c56bf112e5d627780d2f4288460eae5cce80fa9e

[ "MIT" ]

206

2015-10-15T07:05:08.000Z

2021-02-19T11:48:36.000Z

lib/egauge/constants.py

goztrk/django-htk

c56bf112e5d627780d2f4288460eae5cce80fa9e

[ "MIT" ]

8

2017-10-16T10:18:31.000Z

2022-03-09T14:24:27.000Z

lib/egauge/constants.py

goztrk/django-htk

c56bf112e5d627780d2f4288460eae5cce80fa9e

[ "MIT" ]

61

2015-10-15T08:12:44.000Z

2022-03-10T12:25:06.000Z

EGAUGE_API_URLS = { 'stored' : 'http://%s.egaug.es/cgi-bin/egauge-show', 'instantaneous' : 'http://%s.egaug.es/cgi-bin/egauge', }

27.6

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138

4.2

0.6

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0.238095

0.285714

0.571429

0

0.130435

138

4

59

34.5

0.7

0

0.652174

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

c5d126936a264cd6702b646ce0d614e0c82ac2ab

40

py

Python

{{cookiecutter.proj}}/settings.py

ruffyleaf/py-crisp

95cca5828f336fecee39e4f9c17e7abf7baf4fbd

[ "MIT" ]

11

2016-06-23T03:59:12.000Z

2018-12-06T04:14:16.000Z

{{cookiecutter.proj}}/settings.py

ruffyleaf/py-crisp

95cca5828f336fecee39e4f9c17e7abf7baf4fbd

[ "MIT" ]

null

{{cookiecutter.proj}}/settings.py

ruffyleaf/py-crisp

95cca5828f336fecee39e4f9c17e7abf7baf4fbd

[ "MIT" ]

4

2015-08-28T08:59:49.000Z

2021-11-30T08:04:44.000Z

# Put all Project related settings here

20

39

0.8

6

40

5.333333

1

0

0.175

40

1

40

0.969697

0.925

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

c5de6d7f57dedae890f903baa2e66d6bd6753612

92

py

Python

manyq/__init__.py

exaQ-ai/manyQ

d943fc76d8ba1f858193fd4a1cd338b090252b5d

[ "Apache-2.0" ]

null

manyq/__init__.py

exaQ-ai/manyQ

d943fc76d8ba1f858193fd4a1cd338b090252b5d

[ "Apache-2.0" ]

null

manyq/__init__.py

exaQ-ai/manyQ

d943fc76d8ba1f858193fd4a1cd338b090252b5d

[ "Apache-2.0" ]

null

from .manyq import Qreg, initQreg, runQ, measureAll, makeShots, H, CX, CZ,RZ,SX,X,Z, fSIM,IN

92

0.728261

17

92

3.941176

1

0

0.119565

92

1

92

0.82716

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c5f7ce6b519ce0b6d61d1e34078d101c9b87a389

964

py

Python

tests/__init__.py

mandagill/WAUnit

cf8d3612ccbe0889b9cd4bdf6cd0a7785d04cc9c

[ "Apache-2.0" ]

8

2016-03-18T06:21:02.000Z

2020-07-17T09:14:18.000Z

tests/__init__.py

mandagill/WAUnit

cf8d3612ccbe0889b9cd4bdf6cd0a7785d04cc9c

[ "Apache-2.0" ]

5

2016-08-09T03:39:42.000Z

2020-04-26T21:46:17.000Z

tests/__init__.py

mandagill/WAUnit

cf8d3612ccbe0889b9cd4bdf6cd0a7785d04cc9c

[ "Apache-2.0" ]

5

2017-01-30T18:54:10.000Z

2020-03-15T12:26:49.000Z

# Copyright (c) 2016 Joao Correia. All rights reserved. # # This program is licensed to you under the Apache License Version 2.0, # and you may not use this file except in compliance with the Apache License Version 2.0. # You may obtain a copy of the Apache License Version 2.0 at http://www.apache.org/licenses/LICENSE-2.0. # # Unless required by applicable law or agreed to in writing, # software distributed under the Apache License Version 2.0 is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the Apache License Version 2.0 for the specific language governing permissions and limitations there under. # # Version: 0.1.0 # URL: - # # Authors: Joao Correia <joao.correia@gmail.com> https://joaocorreia.io # Copyright: Copyright (c) 2016 Joao Correia # License: Apache License Version 2.0 from waunit_parsers import * from waunit_utils import * from proxy_server import *

43.818182

113

0.75

152

964

4.736842

0.552632

0.019444

0.166667

0.175

0.2875

0.1875

0.083333

0

0.031606

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21

114

45.904762

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1

0

true

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1

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1

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1

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null

0

1

0

1

0

1

0

5

c5fc229929a1e0b2ddc52bd4ccbc5c9e1a06a53b

207

py

Python

todolist/admin.py

yusukhobok/TodoAPI

9f9d93b54cfe3c841dbe2de91798c5e6a28c7edf

[ "MIT" ]

null

todolist/admin.py

yusukhobok/TodoAPI

9f9d93b54cfe3c841dbe2de91798c5e6a28c7edf

[ "MIT" ]

6

2020-06-05T20:06:44.000Z

2021-09-22T18:08:06.000Z

todolist/admin.py

Yus27/TodoAPI

1308aeac356b2168cec02045aa6774b16443d17b

[ "MIT" ]

null

from django.contrib import admin from .models import Todo, Category # from rest_framework.authtoken.models import Token admin.site.register(Todo) admin.site.register(Category) # admin.site.register(Token)

23

51

0.811594

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0.305389

0

0.096618

207

8

52

25.875

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0.36715

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

680b65f11bc89af5a0393872911fedd8f84c0f95

7,719

py

Python

proper_forms/validators.py

jpsca/pforms

77c9da93e5224e79bb147aa873f28951e972bb21

[ "MIT" ]

2

2020-09-30T22:41:00.000Z

2020-12-04T16:47:17.000Z

proper_forms/validators.py

jpsca/hyperform

d5c450ad8684a853fed26f8c2606877151125a9e

[ "MIT" ]

2

2021-11-18T18:01:28.000Z

2021-11-18T18:03:29.000Z

proper_forms/validators.py

jpsca/hyperform

d5c450ad8684a853fed26f8c2606877151125a9e

[ "MIT" ]

null

import datetime from itertools import groupby __all__ = ( "After", "AfterNow", "Before", "BeforeNow", "Confirmed", "InRange", "LessThan", "LongerThan", "MoreThan", "ShorterThan", ) def validate_values(values, test, message): for value in values: if not test(value): return False, message return True class After(object): """Validates than the date happens after another. date (date|datetime): The soonest valid date. message (str): Error message to raise in case of a validation error. """ message = "Enter a valid date after %s." def __init__(self, dt, message=None): assert isinstance(dt, datetime.date) if not isinstance(dt, datetime.datetime): dt = datetime.datetime(dt.year, dt.month, dt.day) self.dt = dt if message is None: message = self.message % "{}-{:02d}-{:02d}".format( dt.year, dt.month, dt.day ) self.message = message def __call__(self, values): def test(value): assert isinstance(value, datetime.date) if not isinstance(value, datetime.datetime): value = datetime.datetime(value.year, value.month, value.day) return value >= self.dt return validate_values(values, test, self.message) class AfterNow(object): """Validates than the date happens after now. This will work with both date and datetime values. message (str): Error message to raise in case of a validation error. """ message = "Enter a valid date in the future." def __init__(self, message=None): if message is not None: self.message = message def __call__(self, values): v = After(datetime.datetime.utcnow(), self.message) return v(values) class Before(object): """Validates than the date happens before another. date (date|datetime): The latest valid date. message (str): Error message to raise in case of a validation error. """ message = "Enter a valid date before %s." def __init__(self, dt, message=None): assert isinstance(dt, datetime.date) if not isinstance(dt, datetime.datetime): dt = datetime.datetime(dt.year, dt.month, dt.day) self.dt = dt if message is None: message = self.message % "{}-{:02d}-{:02d}".format( dt.year, dt.month, dt.day ) self.message = message def __call__(self, values): def test(value): assert isinstance(value, datetime.date) if not isinstance(value, datetime.datetime): value = datetime.datetime(value.year, value.month, value.day) return value <= self.dt return validate_values(values, test, self.message) class BeforeNow(object): """Validates than the date happens before now. This will work with both date and datetime values. message (str): Error message to raise in case of a validation error. """ message = "Enter a valid date in the past." def __init__(self, message=None): if message is not None: self.message = message def __call__(self, values): v = Before(datetime.datetime.utcnow(), self.message) return v(values) class Confirmed(object): """Validates that a value is identical every time has been repeated. Classic use is for password confirmation fields. message (str): Error message to raise in case of a validation error. """ message = "Values doesn't match." def __init__(self, message=None): if message is not None: self.message = message def __call__(self, values): if len(values) < 2: return False g = groupby(values) if next(g, True) and not next(g, False): return True return False, self.message class InRange(object): """Validates that a value is between a minimum and maximum value. This will work with integers, floats, decimals and strings. minval (int|float): The minimum value acceptable. maxval (int|float): The maximum value acceptable. message (str): Error message to raise in case of a validation error. """ message = "Number must be between %s and %s." def __init__(self, minval, maxval, message=None): self.minval = minval self.maxval = maxval if message is None: message = self.message % (minval, maxval) self.message = message def __call__(self, values): def test(value): if value < self.minval: return False if value > self.maxval: return False return True return validate_values(values, test, self.message) class LessThan(object): """Validates that a value is less or equal than another. This will work with integers, floats, decimals and strings. value (int|float): The maximum value acceptable. message (str): Error message to raise in case of a validation error. """ message = "Number must be less than %s." def __init__(self, value, message=None): self.value = value if message is None: message = self.message % (value,) self.message = message def __call__(self, values): def test(value): return value <= self.value return validate_values(values, test, self.message) class LongerThan(object): """Validates the length of a value is longer or equal than minimum. length (int): The minimum required length of the value. message (str): Error message to raise in case of a validation error. """ message = "Field must be at least %s character long." def __init__(self, length, message=None): assert isinstance(length, int) self.length = length if message is None: message = self.message % (length,) self.message = message def __call__(self, values): def test(value): return len(value) >= self.length return validate_values(values, test, self.message) class MoreThan(object): """Validates that a value is greater or equal than another. This will work with any integers, floats, decimals and strings. value (int|float): The minimum value acceptable. message (str): Error message to raise in case of a validation error. """ message = "Number must be greater than %s." def __init__(self, value, message=None): self.value = value if message is None: message = self.message % (value,) self.message = message def __call__(self, values): def test(value): return value >= self.value return validate_values(values, test, self.message) class ShorterThan(object): """Validates the length of a value is shorter or equal than maximum. length (int): The maximum allowed length of the value. message (str): Error message to raise in case of a validation error. """ message = "Field cannot be longer than %s characters." def __init__(self, length, message=None): assert isinstance(length, int) self.length = length if message is None: message = self.message % (length,) self.message = message def __call__(self, values): def test(value): return len(value) <= self.length return validate_values(values, test, self.message)

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7,719

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false

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0

null

0

1

0

1

0

null

0

5

a83a7e4aa4ec5d133358995b84263448d54bb2db

145

py

Python

CondTools/RPC/python/RPCCPPFLinkMapPopConAnalyzer_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

CondTools/RPC/python/RPCCPPFLinkMapPopConAnalyzer_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

CondTools/RPC/python/RPCCPPFLinkMapPopConAnalyzer_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from CondCore.CondDB.CondDB_cfi import * from CondTools.RPC.RPCCPPFLinkMapPopConAnalyzer_cfi import *

24.166667

60

0.848276

18

145

6.722222

0.722222

0.14876

0

0.096552

145

5

61

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0

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0

true

0

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1

0

null

0

1

0

1

0

1

0

5

a866a8df7c8e75398b25280778b61aa641c36f5f

49

py

Python

model/__init__.py

massquantity/DNN-implementation

bca336749a2076fa2873f57d9c2b6f98ebf18a0d

[ "MIT" ]

null

model/__init__.py

massquantity/DNN-implementation

bca336749a2076fa2873f57d9c2b6f98ebf18a0d

[ "MIT" ]

null

model/__init__.py

massquantity/DNN-implementation

bca336749a2076fa2873f57d9c2b6f98ebf18a0d

[ "MIT" ]

null

from .Network import Network, Network_mini_batch

24.5

48

0.857143

7

49

5.714286

0.714286

0

0.102041

49

1

49

0.909091

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1

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true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

5

a87bff55e0954c4f02368ff0a12cc1c96d24dad6

350

py

Python

tests/__init__.py

vishalbelsare/flexsolve

bbce46636b4498f5cb651a2bd1f8dc2c054ad72d

[ "MIT" ]

10

2020-04-02T05:28:41.000Z

2022-03-07T23:31:32.000Z

tests/__init__.py

vishalbelsare/flexsolve

bbce46636b4498f5cb651a2bd1f8dc2c054ad72d

[ "MIT" ]

null

tests/__init__.py

vishalbelsare/flexsolve

bbce46636b4498f5cb651a2bd1f8dc2c054ad72d

[ "MIT" ]

2

2020-07-21T14:22:36.000Z

2020-08-20T19:16:12.000Z

# -*- coding: utf-8 -*- """ Created on Fri Jun 26 12:38:20 2020 @author: yrc2 """ import pytest from .test_fixedpoint_array_solvers import test_fixedpoint_array_solvers from .test_scalar_solvers import test_scalar_solvers @pytest.mark.skip(reason="Runs all tests") def test_flexsolve(): test_fixedpoint_array_solvers() test_scalar_solvers()

25

72

0.777143

51

350

5.019608

0.588235

0.164063

0.222656

0.304688

0

0.045455

0.12

350

14

73

25

0.785714

0.208571

0

0.051852

0

1

0.142857

true

0

0.428571

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a8a5c04d536a65db5ca4c011aa6d67e5bb28da85

178

py

Python

wsgi_dogfood.py

jinjiaho/project57

32fdefa42b0a220efb0b7ca6552150f8d4c56c88

[ "MIT" ]

null

wsgi_dogfood.py

jinjiaho/project57

32fdefa42b0a220efb0b7ca6552150f8d4c56c88

[ "MIT" ]

7

2020-03-24T15:38:55.000Z

2022-01-13T00:42:41.000Z

wsgi_dogfood.py

jinjiaho/project57

32fdefa42b0a220efb0b7ca6552150f8d4c56c88

[ "MIT" ]

1

2017-10-03T09:40:20.000Z

from application import application if __name__ == '__main__': application.config.from_object('config.Config') application.config.from_pyfile('dogfood.py') application.run()

25.428571

48

0.792135

21

178

6.238095

0.571429

0.259542

0.320611

0

0.08427

178

6

49

29.666667

0.803681

0

0.174157

0

1

0

true

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

1

0

5

769090cd77258937ae713ec4a7fe4fdc08215ffe

238

py

Python

credentials.py

jeffsgrover/twitter-bot-python-heroku

ad3d637afb5e45bb356d16f8ac66aab627e2846b

[ "MIT" ]

null

credentials.py

jeffsgrover/twitter-bot-python-heroku

ad3d637afb5e45bb356d16f8ac66aab627e2846b

[ "MIT" ]

null

credentials.py

jeffsgrover/twitter-bot-python-heroku

ad3d637afb5e45bb356d16f8ac66aab627e2846b

[ "MIT" ]

null

CONSUMER_KEY= '107M6FEPg8nJYe4VGOq6GYFpi' CONSUMER_SECRET= 'UN5eZUbv4s3uMU6XymncY1ZgRNaOqoP4t9mSmVH8XwB6DXwPvi' ACCESS_KEY='1491446054675525637-aNTtW6SoFA4gK2tptrhjdwUQJ78Kaq' ACCESS_SECRET= 'yoS7owUAzAFPrjOoYxmzeZkOKac0OdDohUIg4snIzhNB9'

59.5

69

0.920168

13

238

16.538462

0.692308

0

0.189655

0.02521

238

4

70

59.5

0.737069

0

0.711297

0

1

0

false

0

1

0

1

null

0

1

0

1

null

0

5

76c98732dd63e56d4e5840348f3c3a1706a8f12b

569

py

Python

errors/handlers.py

sigma5710/python-flaskblog

50de7cd02db90a5822e8f0810ac42540be9a0ed2

[ "MIT" ]

null

errors/handlers.py

sigma5710/python-flaskblog

50de7cd02db90a5822e8f0810ac42540be9a0ed2

[ "MIT" ]

null

errors/handlers.py

sigma5710/python-flaskblog

50de7cd02db90a5822e8f0810ac42540be9a0ed2

[ "MIT" ]

null

from flask import Blueprint, render_template errors = Blueprint('errors', __name__) # 'app_errorhandler' decorator applies to the entire application # instead of just working on this blueprint @errors.app_errorhandler(404) def error_404(error): # return 2 values # 2nd value is code returned by page return render_template('errors/404.html'), 404 @errors.app_errorhandler(403) def error_403(error): return render_template('errors/403.html'), 403 @errors.app_errorhandler(500) def error_500(error): return render_template('errors/500.html'), 500

28.45

64

0.764499

80

569

5.25

0.475

0.133333

0.190476

0.185714

0.147619

0

0.077551

0.13884

569

20

65

28.45

0.779592

0.272408

0

0.12439

0

1

0.272727

false

0

0.090909

0.272727

0.636364

0.181818

0

null

0

1

0

null

0

1

0

1

0

5

4f20703717d9dd15cbb4b996c1c28f65d68cfd0a

75

py

Python

lib/datasets/__init__.py

vlievin/dgm-template

719d52378947d06d35e030f4bd967e833fa67dea

[ "MIT" ]

1

2020-10-29T10:32:55.000Z

lib/datasets/__init__.py

vlievin/dgm-template

719d52378947d06d35e030f4bd967e833fa67dea

[ "MIT" ]

null

lib/datasets/__init__.py

vlievin/dgm-template

719d52378947d06d35e030f4bd967e833fa67dea

[ "MIT" ]

null

from .binmnist import BinMNIST from .initialization import init_dataloaders

37.5

44

0.88

9

75

7.222222

0.666667

0

0.093333

75

2

44

37.5

0.955882

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4f6aaae2214ebe6a06a7ef3238e6c0bb698825bc

91

py

Python

tests/module.py

simonpercivall/bettertimeit

2a327efead373237df4196dbde4b4f6b6387a95a

[ "PSF-2.0" ]

7

2015-03-16T16:57:47.000Z

2020-12-08T08:26:10.000Z

tests/module.py

simonpercivall/bettertimeit

2a327efead373237df4196dbde4b4f6b6387a95a

[ "PSF-2.0" ]

null

tests/module.py

simonpercivall/bettertimeit

2a327efead373237df4196dbde4b4f6b6387a95a

[ "PSF-2.0" ]

1

2020-12-08T08:26:11.000Z

a = 5 b = 3 def timeit_1(): print(a + b) c = 8 def timeit_2(): print(a + b + c)

8.272727

20

0.472527

19

91

2.157895

0.578947

0.439024

0.341463

0.390244

0

0.084746

0.351648

91

10

21

9.1

0.610169

0

1

0.285714

false

0

0.285714

1

0

null

1

0

null

0

1

0

5

4fa118cc427dc22993b9d8aba912c1bf778b51ac

17,958

py

Python

helios/south_migrations/0001_initial.py

nti-ufop/helios-server

57c43fd300b856a6429d85e49f7156d0da21de22

[ "Apache-2.0" ]

2

2017-05-15T09:57:51.000Z

2018-10-02T19:58:54.000Z

helios/south_migrations/0001_initial.py

nti-ufop/helios-server

57c43fd300b856a6429d85e49f7156d0da21de22

[ "Apache-2.0" ]

6

2016-03-31T16:43:45.000Z

2018-01-06T00:44:08.000Z

helios/south_migrations/0001_initial.py

nti-ufop/helios-server

57c43fd300b856a6429d85e49f7156d0da21de22

[ "Apache-2.0" ]

6

2016-02-23T10:44:42.000Z

2020-01-12T12:17:29.000Z

# encoding: utf-8 import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Election' db.create_table('helios_election', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('admin', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['helios_auth.User'])), ('uuid', self.gf('django.db.models.fields.CharField')(max_length=50)), ('short_name', self.gf('django.db.models.fields.CharField')(max_length=100)), ('name', self.gf('django.db.models.fields.CharField')(max_length=250)), ('description', self.gf('django.db.models.fields.TextField')()), ('public_key', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('private_key', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('questions', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('eligibility', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('openreg', self.gf('django.db.models.fields.BooleanField')(default=False)), ('featured_p', self.gf('django.db.models.fields.BooleanField')(default=False)), ('use_voter_aliases', self.gf('django.db.models.fields.BooleanField')(default=False)), ('cast_url', self.gf('django.db.models.fields.CharField')(max_length=500)), ('created_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('modified_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('frozen_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('archived_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('registration_starts_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('voting_starts_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('voting_ends_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('tallying_starts_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('voting_started_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('voting_extended_until', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('voting_ended_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('tallying_started_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('tallying_finished_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('tallies_combined_at', self.gf('django.db.models.fields.DateTimeField')(default=None, null=True)), ('voters_hash', self.gf('django.db.models.fields.CharField')(max_length=100, null=True)), ('encrypted_tally', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('result', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('result_proof', self.gf('helios_auth.jsonfield.JSONField')(null=True)), )) db.send_create_signal('helios', ['Election']) # Adding model 'ElectionLog' db.create_table('helios_electionlog', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('election', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['helios.Election'])), ('log', self.gf('django.db.models.fields.CharField')(max_length=500)), ('at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), )) db.send_create_signal('helios', ['ElectionLog']) # Adding model 'VoterFile' db.create_table('helios_voterfile', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('election', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['helios.Election'])), ('voter_file', self.gf('django.db.models.fields.files.FileField')(max_length=250)), ('uploaded_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('processing_started_at', self.gf('django.db.models.fields.DateTimeField')(null=True)), ('processing_finished_at', self.gf('django.db.models.fields.DateTimeField')(null=True)), ('num_voters', self.gf('django.db.models.fields.IntegerField')(null=True)), )) db.send_create_signal('helios', ['VoterFile']) # Adding model 'Voter' db.create_table('helios_voter', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('election', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['helios.Election'])), ('name', self.gf('django.db.models.fields.CharField')(max_length=200, null=True)), ('voter_type', self.gf('django.db.models.fields.CharField')(max_length=100)), ('voter_id', self.gf('django.db.models.fields.CharField')(max_length=100)), ('uuid', self.gf('django.db.models.fields.CharField')(max_length=50)), ('alias', self.gf('django.db.models.fields.CharField')(max_length=100, null=True)), ('vote', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('vote_hash', self.gf('django.db.models.fields.CharField')(max_length=100, null=True)), ('cast_at', self.gf('django.db.models.fields.DateTimeField')(null=True)), )) db.send_create_signal('helios', ['Voter']) # Adding model 'CastVote' db.create_table('helios_castvote', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('voter', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['helios.Voter'])), ('vote', self.gf('helios_auth.jsonfield.JSONField')()), ('vote_hash', self.gf('django.db.models.fields.CharField')(max_length=100)), ('cast_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('verified_at', self.gf('django.db.models.fields.DateTimeField')(null=True)), ('invalidated_at', self.gf('django.db.models.fields.DateTimeField')(null=True)), )) db.send_create_signal('helios', ['CastVote']) # Adding model 'AuditedBallot' db.create_table('helios_auditedballot', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('election', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['helios.Election'])), ('raw_vote', self.gf('django.db.models.fields.TextField')()), ('vote_hash', self.gf('django.db.models.fields.CharField')(max_length=100)), ('added_at', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), )) db.send_create_signal('helios', ['AuditedBallot']) # Adding model 'Trustee' db.create_table('helios_trustee', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('election', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['helios.Election'])), ('uuid', self.gf('django.db.models.fields.CharField')(max_length=50)), ('name', self.gf('django.db.models.fields.CharField')(max_length=200)), ('email', self.gf('django.db.models.fields.EmailField')(max_length=75)), ('secret', self.gf('django.db.models.fields.CharField')(max_length=100)), ('public_key', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('public_key_hash', self.gf('django.db.models.fields.CharField')(max_length=100)), ('secret_key', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('pok', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('decryption_factors', self.gf('helios_auth.jsonfield.JSONField')(null=True)), ('decryption_proofs', self.gf('helios_auth.jsonfield.JSONField')(null=True)), )) db.send_create_signal('helios', ['Trustee']) def backwards(self, orm): # Deleting model 'Election' db.delete_table('helios_election') # Deleting model 'ElectionLog' db.delete_table('helios_electionlog') # Deleting model 'VoterFile' db.delete_table('helios_voterfile') # Deleting model 'Voter' db.delete_table('helios_voter') # Deleting model 'CastVote' db.delete_table('helios_castvote') # Deleting model 'AuditedBallot' db.delete_table('helios_auditedballot') # Deleting model 'Trustee' db.delete_table('helios_trustee') models = { 'helios_auth.user': { 'Meta': {'unique_together': "(('user_type', 'user_id'),)", 'object_name': 'User'}, 'admin_p': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'info': ('helios_auth.jsonfield.JSONField', [], {}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True'}), 'token': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'user_id': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'user_type': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'helios.auditedballot': { 'Meta': {'object_name': 'AuditedBallot'}, 'added_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'election': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['helios.Election']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'raw_vote': ('django.db.models.fields.TextField', [], {}), 'vote_hash': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'helios.castvote': { 'Meta': {'object_name': 'CastVote'}, 'cast_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'invalidated_at': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}), 'verified_at': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}), 'vote': ('helios_auth.jsonfield.JSONField', [], {}), 'vote_hash': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'voter': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['helios.Voter']"}) }, 'helios.election': { 'Meta': {'object_name': 'Election'}, 'admin': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['helios_auth.User']"}), 'archived_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'cast_url': ('django.db.models.fields.CharField', [], {'max_length': '500'}), 'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'description': ('django.db.models.fields.TextField', [], {}), 'eligibility': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'encrypted_tally': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'featured_p': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'frozen_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'modified_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '250'}), 'openreg': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'private_key': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'public_key': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'questions': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'registration_starts_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'result': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'result_proof': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'short_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'tallies_combined_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'tallying_finished_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'tallying_started_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'tallying_starts_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'use_voter_aliases': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'uuid': ('django.db.models.fields.CharField', [], {'max_length': '50'}), 'voters_hash': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True'}), 'voting_ended_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'voting_ends_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'voting_extended_until': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'voting_started_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}), 'voting_starts_at': ('django.db.models.fields.DateTimeField', [], {'default': 'None', 'null': 'True'}) }, 'helios.electionlog': { 'Meta': {'object_name': 'ElectionLog'}, 'at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'election': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['helios.Election']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'log': ('django.db.models.fields.CharField', [], {'max_length': '500'}) }, 'helios.trustee': { 'Meta': {'object_name': 'Trustee'}, 'decryption_factors': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'decryption_proofs': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'election': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['helios.Election']"}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '200'}), 'pok': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'public_key': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'public_key_hash': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'secret': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'secret_key': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'uuid': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'helios.voter': { 'Meta': {'object_name': 'Voter'}, 'alias': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True'}), 'cast_at': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}), 'election': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['helios.Election']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '200', 'null': 'True'}), 'uuid': ('django.db.models.fields.CharField', [], {'max_length': '50'}), 'vote': ('helios_auth.jsonfield.JSONField', [], {'null': 'True'}), 'vote_hash': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True'}), 'voter_id': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'voter_type': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'helios.voterfile': { 'Meta': {'object_name': 'VoterFile'}, 'election': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['helios.Election']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'num_voters': ('django.db.models.fields.IntegerField', [], {'null': 'True'}), 'processing_finished_at': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}), 'processing_started_at': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}), 'uploaded_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'voter_file': ('django.db.models.fields.files.FileField', [], {'max_length': '250'}) } } complete_apps = ['helios']

69.069231

121

0.59628

1,979

17,958

5.265286

0.069227

0.101344

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0.25144

0.831958

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0.799232

0.761036

0.686564

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0

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122

69.335907

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0.040359

0

null

0

1

0

null

0

5

4fa8200c8b2901c4ee2320a13a73ba41556afde3

55

py

Python

loss/__init__.py

Ramsha04/kits19-challenge

d8ec97001c7ab668d802e266a4a1fcafcb456701

[ "MIT" ]

39

2019-08-15T17:43:02.000Z

2022-03-23T07:22:29.000Z

loss/__init__.py

linggood/kits19-challenge

1fb9b0d0622314054f2433c4f87ed2892ef38c21

[ "MIT" ]

15

2019-09-10T04:12:52.000Z

2021-11-01T14:07:49.000Z

loss/__init__.py

linggood/kits19-challenge

1fb9b0d0622314054f2433c4f87ed2892ef38c21

[ "MIT" ]

17

2019-11-18T01:31:08.000Z

2022-03-18T12:31:56.000Z

from .generalized_dice_loss import GeneralizedDiceLoss

27.5

54

0.909091

6

55

8

1

0

0.072727

55

1

55

0.941176

0

1

0

true

0

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0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

4fae57cddd37e057a7b9185fcaf5b91209189437

71

py

Python

N2G/__init__.py

jinjamator/N2G

2467924abd9fc8f2dd569339cd9cb982488d9cd2

[ "MIT" ]

1

2022-01-01T20:44:49.000Z

N2G/__init__.py

jinjamator/N2G

2467924abd9fc8f2dd569339cd9cb982488d9cd2

[ "MIT" ]

null

N2G/__init__.py

jinjamator/N2G

2467924abd9fc8f2dd569339cd9cb982488d9cd2

[ "MIT" ]

null

from .N2G_DrawIO import drawio_diagram from .N2G_yEd import yed_diagram

35.5

38

0.873239

12

71

4.833333

0.5

0.241379

0

0.03125

0.098592

71

2

39

35.5

0.875

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

96cd8b1ab9dd395bb91833b5714a9c5cd5e08388

56

py

Python

countries_field/tests/__init__.py

anatoliy-larin/django-countries-field

3ecf39fe24b9fb450da11a52d2746e79437fe955

[ "Unlicense" ]

2

2015-06-25T08:19:23.000Z

2021-07-02T23:46:04.000Z

countries_field/tests/__init__.py

anatoliy-larin/django-countries-field

3ecf39fe24b9fb450da11a52d2746e79437fe955

[ "Unlicense" ]

null

countries_field/tests/__init__.py

anatoliy-larin/django-countries-field

3ecf39fe24b9fb450da11a52d2746e79437fe955

[ "Unlicense" ]

2

2015-03-23T16:10:54.000Z

2019-10-16T15:09:54.000Z

#coding: utf-8 from models import * from tests import *

14

20

0.732143

9

56

4.555556

0.777778

0

0.021739

0.178571

56

3

21

18.666667

0.869565

0.232143

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8c062a86d599ddbc1803a814daf07586a06940d7

52

py

Python

src/ekpmeasure/analysis/FE_switching/__init__.py

marwahaha/ekpmeasure

8a0e52f0393849b496d9df13d84fcef11b733f59

[ "MIT" ]

null

src/ekpmeasure/analysis/FE_switching/__init__.py

marwahaha/ekpmeasure

8a0e52f0393849b496d9df13d84fcef11b733f59

[ "MIT" ]

null

src/ekpmeasure/analysis/FE_switching/__init__.py

marwahaha/ekpmeasure

8a0e52f0393849b496d9df13d84fcef11b733f59

[ "MIT" ]

null

from .main import * from .functions_on_data import *

26

32

0.788462

8

52

4.875

0.75

0

0.134615

52

2

32

26

0.866667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8c3ee44f47f7ba991ed5a7b3ca6e9d04b8c024e0

203

py

Python

src/accounts/tests.py

Makerspace-Door/door_commander

11ffcd08dff45ffaae35cdbd0e09180658e34442

[ "BSD-3-Clause" ]

1

2021-11-06T10:55:06.000Z

src/accounts/tests.py

Makerspace-Door/door_commander

11ffcd08dff45ffaae35cdbd0e09180658e34442

[ "BSD-3-Clause" ]

5

2021-09-21T20:37:30.000Z

2021-11-23T10:34:15.000Z

src/accounts/tests.py

Makerspace-Door/door_commander

11ffcd08dff45ffaae35cdbd0e09180658e34442

[ "BSD-3-Clause" ]

null

from django.test import TestCase # Create your tests here. from django.contrib.staticfiles.testing import StaticLiveServerTestCase from django.contrib.auth import get_user_model User = get_user_model()

29

71

0.842365

28

203

5.964286

0.607143

0.179641

0.203593

0

0.103448

203

6

72

33.833333

0.917582

0.1133

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

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1

0

5