xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

c7aa2635f7e1d5416d843dacc6078257816ee795

2,268

py

Python

src/encoded/server_defaults.py

beta-cell-network/beta-cell-nw

093b078fdb7932ebfcbc0715aeeb2261eda3ee52

[ "MIT" ]

4

2018-01-04T22:31:08.000Z

2021-07-15T17:39:16.000Z

src/encoded/server_defaults.py

beta-cell-network/beta-cell-nw

093b078fdb7932ebfcbc0715aeeb2261eda3ee52

[ "MIT" ]

7

2017-10-31T23:47:47.000Z

2022-01-10T00:12:42.000Z

src/encoded/server_defaults.py

beta-cell-network/beta-cell-nw

093b078fdb7932ebfcbc0715aeeb2261eda3ee52

[ "MIT" ]

10

2017-09-14T00:57:07.000Z

2021-07-27T23:41:14.000Z

from datetime import datetime from jsonschema_serialize_fork import NO_DEFAULT from pyramid.security import effective_principals from pyramid.threadlocal import get_current_request from string import ( digits, ascii_uppercase, ) import random import uuid from snovault.schema_utils import server_default A...

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null

0

1

0

c7b0b81ceafaed0e74acb2a5f98af6b65a8f276d

1,850

py

Python

tests/test_api_account_state.py

luisparravicini/ioapi

f9d60a28032fd54163ea15b8256aba1d48ec4dcc

[ "MIT" ]

null

tests/test_api_account_state.py

luisparravicini/ioapi

f9d60a28032fd54163ea15b8256aba1d48ec4dcc

[ "MIT" ]

null

tests/test_api_account_state.py

luisparravicini/ioapi

f9d60a28032fd54163ea15b8256aba1d48ec4dcc

[ "MIT" ]

1

2020-05-03T04:34:32.000Z

import unittest import os import json import requests import requests_mock from ioapi import api_url, IOService, AuthorizationError, UnexpectedResponseCodeError class APIAccountStateTestCase(unittest.TestCase): def setUp(self): self.service = IOService() @requests_mock.mock() def test_account_st...

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0.318182

0

null

0

null

0

1

0

c7b4d983814129255c3038e65a92199d05319e32

6,061

py

Python

tobit.py

AlvaroCorrales/tobit

6993b1cfe58010cd59aac477ced3c2525342244f

[ "MIT" ]

1

2021-04-13T03:14:01.000Z

tobit.py

AlvaroCorrales/tobit

6993b1cfe58010cd59aac477ced3c2525342244f

[ "MIT" ]

null

tobit.py

AlvaroCorrales/tobit

6993b1cfe58010cd59aac477ced3c2525342244f

[ "MIT" ]

null

import math import warnings import numpy as np import pandas as pd from scipy.optimize import minimize import scipy.stats from scipy.stats import norm # edit from scipy.special import log_ndtr from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error, mean_absolute_error def sp...

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0.07507

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0.007634

0

null

0

null

0

1

0

c7b509b05f7f3079575b9250d0a2891a9795c878

1,554

py

Python

setup.py

Raymond38324/hagworm

196d4735719f586d52a1cd9f21aedd00e16b59b0

[ "Apache-2.0" ]

null

setup.py

Raymond38324/hagworm

196d4735719f586d52a1cd9f21aedd00e16b59b0

[ "Apache-2.0" ]

null

setup.py

Raymond38324/hagworm

196d4735719f586d52a1cd9f21aedd00e16b59b0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import setuptools with open(r'README.md', r'r', encoding="utf8") as stream: long_description = stream.read() setuptools.setup( name=r'hagworm', version=r'3.0.0', license=r'Apache License Version 2.0', platforms=[r'all'], author=r'Shaobo.Wang', author_email=r'wsb310...

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1,554

54

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0

0.04

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0

1

0

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0

0.02

0

null

0

null

0

1

0

c7b7578b3382d7cf2565fe8fe7621c5d451e663b

1,374

py

Python

conduit_rest/radish/conduit_rest_steps.py

dduleba/tw2019-ui-tests

5f149c6c2bdb9f2d69a02c038248374f6b0b5903

[ "MIT" ]

1

2019-09-27T23:12:07.000Z

conduit_rest/radish/conduit_rest_steps.py

dduleba/conduit-tests

5f149c6c2bdb9f2d69a02c038248374f6b0b5903

[ "MIT" ]

null

conduit_rest/radish/conduit_rest_steps.py

dduleba/conduit-tests

5f149c6c2bdb9f2d69a02c038248374f6b0b5903

[ "MIT" ]

null

import time from faker import Faker from radish_ext.radish.step_config import StepConfig from conduit.client import ConduitClient, ConduitConfig class ConduitStepsConfig(StepConfig): def __init__(self, context): super().__init__(context) self._faker = None self.client = ConduitClient(Co...

31.227273

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0.04439

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0.269287

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0.807769

0.008734

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0.032258

0.387097

0

null

0

null

0

1

0

c7b94b2b66d38c20024028b233b4eaed057202d2

5,057

py

Python

SPAE/read_write.py

simon-schuler/SPAE

2b970e30838da258b969b316488e7963d66119be

[ "MIT" ]

null

SPAE/read_write.py

simon-schuler/SPAE

2b970e30838da258b969b316488e7963d66119be

[ "MIT" ]

1

2021-04-12T20:28:55.000Z

SPAE/read_write.py

simon-schuler/SPAE

2b970e30838da258b969b316488e7963d66119be

[ "MIT" ]

null

#Writing MOOG parameter file for the parameter, abundance, and error calculations. #The parameter file only needs to be written once, at beginning of the routine, because the output #files are overwritten with each itereation of the routine, only minimal output data are needed. # #The user can choose to have the param...

41.45082

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0.489816

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5,057

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0.049938

0.013317

0.135664

0.052434

0.034124

0

0.010283

0.384615

5,057

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false

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0

0.060976

0.158537

0

null

0

null

0

1

0

c7ba2b5a0bc557fae2df973eed4ab42b40580f6e

1,862

py

Python

lectures/optimization/optimization_plots.py

carolinalvarez/ose-course-scientific-computing

4b816fa81320c88fc5f35b203f0541e0a1a00939

[ "MIT" ]

null

lectures/optimization/optimization_plots.py

carolinalvarez/ose-course-scientific-computing

4b816fa81320c88fc5f35b203f0541e0a1a00939

[ "MIT" ]

null

lectures/optimization/optimization_plots.py

carolinalvarez/ose-course-scientific-computing

4b816fa81320c88fc5f35b203f0541e0a1a00939

[ "MIT" ]

null

"""Plots for optimization lecture.""" import matplotlib.pyplot as plt import numpy as np from matplotlib import cm def plot_contour(f, allvecs, legend_path): """Plot contour graph for function f.""" # Create array from values with at least two dimensions. allvecs = np.atleast_2d(allvecs) X, Y, Z = _g...

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3.740741

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0.013501

0.032403

0.20162

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0.068407

0

0.026912

0.241676

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0

0.066667

0

0.177778

0

null

0

null

0

1

0

c7ba60efd06c8906b83387592b8347e6da526db9

7,141

py

Python

gdsfactory/functions.py

simbilod/gdsfactory

4d76db32674c3edb4d16260e3177ee29ef9ce11d

[ "MIT" ]

null

gdsfactory/functions.py

simbilod/gdsfactory

4d76db32674c3edb4d16260e3177ee29ef9ce11d

[ "MIT" ]

null

gdsfactory/functions.py

simbilod/gdsfactory

4d76db32674c3edb4d16260e3177ee29ef9ce11d

[ "MIT" ]

null

"""All functions return a Component so you can easily pipe or compose them. There are two types of functions: - decorators: return the original component - containers: return a new component """ from functools import lru_cache, partial import numpy as np from omegaconf import OmegaConf from pydantic import validate...

25.967273

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0.254894

0.220478

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0.011473

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7,141

274

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0.223022

0

null

0

null

0

1

0

c7ba7f82e01986b93c50e54b040c99061ee59d08

26,640

py

Python

OverlayUFOs/Overlay UFOs.roboFontExt/lib/OverlayUFOs.py

connordavenport/fbOpenTools

794c71d504cea1248c256bea11d5249b0a4144a1

[ "Unlicense" ]

null

OverlayUFOs/Overlay UFOs.roboFontExt/lib/OverlayUFOs.py

connordavenport/fbOpenTools

794c71d504cea1248c256bea11d5249b0a4144a1

[ "Unlicense" ]

null

OverlayUFOs/Overlay UFOs.roboFontExt/lib/OverlayUFOs.py

connordavenport/fbOpenTools

794c71d504cea1248c256bea11d5249b0a4144a1

[ "Unlicense" ]

null

#coding=utf-8 from __future__ import division """ # OVERLAY UFOS For anyone looking in here, sorry the code is so messy. This is a standalone version of a script with a lot of dependencies. """ import os from AppKit import * #@PydevCodeAnalysisIgnore from vanilla import * #@PydevCodeAnalysisIgnore from mojo.drawingT...

39.118943

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0.005899

0.008848

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0.149823

0.136387

0.112007

0.073011

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0.010941

0.249453

0

null

0

null

0

1

0

c7bb3480194f9fe2fbc061710221cb965aa24166

9,368

py

Python

pyteamup/Calendar.py

LogicallyUnfit/pyTeamUp

a398fe6808d506ca4e05090b58e0a697aa1f46e5

[ "MIT" ]

5

2019-04-11T14:52:19.000Z

2022-03-13T10:39:22.000Z

pyteamup/Calendar.py

LogicallyUnfit/pyTeamUp

a398fe6808d506ca4e05090b58e0a697aa1f46e5

[ "MIT" ]

9

2019-04-11T14:49:59.000Z

2021-11-30T08:34:31.000Z

pyteamup/Calendar.py

LogicallyUnfit/pyTeamUp

a398fe6808d506ca4e05090b58e0a697aa1f46e5

[ "MIT" ]

3

2019-04-11T14:17:00.000Z

2021-07-15T06:59:13.000Z

import requests import json import datetime import sys from dateutil.parser import parse as to_datetime try: import pandas as pd except: pass from pyteamup.utils.utilities import * from pyteamup.utils.constants import * from pyteamup.Event import Event class Calendar: def __init__(self, cal_id, api_key):...

39.694915

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0.175652

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9,368

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false

0.011834

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0.017751

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0.023669

0

null

0

null

0

1

0

c7bde259829ba295ad5078b7f30b72f3fddb4e13

1,608

py

Python

examples/ws2812/main.py

ivankravets/pumbaa

2a1869cc204e3128516ed6fa9f89529aedec1702

[ "MIT" ]

69

2016-09-04T18:36:18.000Z

2021-07-04T21:51:54.000Z

examples/ws2812/main.py

ivankravets/pumbaa

2a1869cc204e3128516ed6fa9f89529aedec1702

[ "MIT" ]

42

2016-09-02T20:10:19.000Z

2020-07-01T05:54:01.000Z

examples/ws2812/main.py

ivankravets/pumbaa

2a1869cc204e3128516ed6fa9f89529aedec1702

[ "MIT" ]

11

2016-09-29T14:33:23.000Z

2021-02-28T19:30:49.000Z

# # @section License # # The MIT License (MIT) # # Copyright (c) 2016-2017, Erik Moqvist # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation # files (the "Software"), to deal in the Software without # restriction, including without limitation ...

29.236364

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0.028037

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0.041065

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1,608

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1

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0

0.166667

0

null

0

null

0

1

0

c7be4754a949474c9764e2ad170025656a516b5f

740

py

Python

reports/urls.py

aysiu/manana

8af8b57c72f6154affdb5f3a9a3469a49e5818fe

[ "Apache-2.0" ]

9

2016-02-16T23:53:40.000Z

2020-07-13T16:04:18.000Z

reports/urls.py

aysiu/manana

8af8b57c72f6154affdb5f3a9a3469a49e5818fe

[ "Apache-2.0" ]

null

reports/urls.py

aysiu/manana

8af8b57c72f6154affdb5f3a9a3469a49e5818fe

[ "Apache-2.0" ]

4

2016-02-16T23:56:13.000Z

2019-05-20T15:12:14.000Z

from django.conf.urls import patterns, include, url urlpatterns = patterns('reports.views', url(r'^index/*$', 'index'), url(r'^dashboard/*$', 'dashboard'), url(r'^$', 'index'), url(r'^detail/(?P<serial>[^/]+)$', 'detail'), url(r'^detailpkg/(?P<serial>[^/]+)/(?P<manifest_name>[^/]+)$', 'detail_pkg')...

41.111111

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82

41.111111

0.627329

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0

0.066667

0

null

0

null

0

1

0

c7be660a1e99ce3791843752d3993ac9fa123bdb

5,812

py

Python

BackEnd/venv/lib/python3.8/site-packages/pytest_flask/fixtures.py

MatheusBrodt/App_LabCarolVS

9552149ceaa9bee15ef9a45fab2983c6651031c4

[ "MIT" ]

null

BackEnd/venv/lib/python3.8/site-packages/pytest_flask/fixtures.py

MatheusBrodt/App_LabCarolVS

9552149ceaa9bee15ef9a45fab2983c6651031c4

[ "MIT" ]

1

2019-08-20T18:42:14.000Z

BackEnd/venv/lib/python3.8/site-packages/pytest_flask/fixtures.py

MatheusBrodt/App_LabCarolVS

9552149ceaa9bee15ef9a45fab2983c6651031c4

[ "MIT" ]

1

2019-08-20T18:11:48.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import time import multiprocessing import pytest import socket import signal import os import logging try: from urllib2 import URLError, urlopen except ImportError: from urllib.error import URLError from urllib.request import urlopen from flask import _request...

28.213592

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0.097799

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false

0

0.111111

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0.435185

0

null

0

null

0

1

0

c7be8fc77e58c39c645eb0be54b3d89d725dc934

7,700

py

Python

tableauserverclient/server/endpoint/endpoint.py

jorwoods/server-client-python

fefd6f18d8a6617829c6323879d2c3ed77a4cda6

[ "CC0-1.0", "MIT" ]

1

2021-12-22T21:34:17.000Z

tableauserverclient/server/endpoint/endpoint.py

jorwoods/server-client-python

fefd6f18d8a6617829c6323879d2c3ed77a4cda6

[ "CC0-1.0", "MIT" ]

null

tableauserverclient/server/endpoint/endpoint.py

jorwoods/server-client-python

fefd6f18d8a6617829c6323879d2c3ed77a4cda6

[ "CC0-1.0", "MIT" ]

null

from .exceptions import ( ServerResponseError, InternalServerError, NonXMLResponseError, EndpointUnavailableError, ) from functools import wraps from xml.etree.ElementTree import ParseError from ..query import QuerySet import logging try: from distutils2.version import NormalizedVersion as Version ...

33.189655

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false

0

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0.337931

0

null

0

null

0

1

0

c7c0ec1f2d22d969372f765fb0d7aef4a98be04f

4,617

py

Python

spec/test_importer.py

lajohnston/anki-freeplane

746e3dd714653df428f0541609b9c51e29cd2726

[ "MIT" ]

15

2016-10-06T00:27:26.000Z

2022-03-04T04:24:50.000Z

spec/test_importer.py

eljay26/anki-freeplane

746e3dd714653df428f0541609b9c51e29cd2726

[ "MIT" ]

null

spec/test_importer.py

eljay26/anki-freeplane

746e3dd714653df428f0541609b9c51e29cd2726

[ "MIT" ]

6

2016-11-08T06:55:47.000Z

2021-03-24T22:15:14.000Z

import unittest from freeplane_importer.importer import Importer from mock import Mock from mock import MagicMock from mock import call from freeplane_importer.model_not_found_exception import ModelNotFoundException class TestImporter(unittest.TestCase): def setUp(self): self.mock_collection = Mock() ...

38.157025

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4.925926

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0.607715

0.602158

0.457012

0.405361

0.338673

0

0.005879

0.189517

4,617

120

91

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0

0.258427

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0

0.179775

1

0.179775

false

0

0.269663

0

0.460674

0

null

0

null

0

1

0

c7c11d6e36451e4175726cdb9543215d1fb0fff9

1,089

py

Python

analysis/fitexp.py

mfkasim91/idcovid19

3e51b16354581a4e0defc635f837f93faff26afc

[ "BSD-3-Clause" ]

null

analysis/fitexp.py

mfkasim91/idcovid19

3e51b16354581a4e0defc635f837f93faff26afc

[ "BSD-3-Clause" ]

null

analysis/fitexp.py

mfkasim91/idcovid19

3e51b16354581a4e0defc635f837f93faff26afc

[ "BSD-3-Clause" ]

null

import argparse import numpy as np from scipy.stats import linregress import matplotlib.pyplot as plt parser = argparse.ArgumentParser() parser.add_argument("--plot", action="store_const", default=False, const=True) args = parser.parse_args() data = np.loadtxt("../data/data.csv", skiprows=1, usecols=list(range(1,8)),...

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null

0

null

0

1

0

c7c399f4aa408e4541e327b125cd44ba175da7ef

1,901

py

Python

percept/plot.py

joshleeb/PerceptronVis

2d0e2f1969e11498533f190f5598c174b7584513

[ "MIT" ]

null

percept/plot.py

joshleeb/PerceptronVis

2d0e2f1969e11498533f190f5598c174b7584513

[ "MIT" ]

null

percept/plot.py

joshleeb/PerceptronVis

2d0e2f1969e11498533f190f5598c174b7584513

[ "MIT" ]

null

import matplotlib.lines as lines import matplotlib.pyplot as plt COLOR_CLASSIFICATIONS = [ 'black', # Unclassified 'blue', # Classified True (1) 'red' # Classified False (0) ] def generate_line(ax, p0, p1, color='black', style='-'): ''' Generates a line between points p0 and p1 which...

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0.035503

0.032967

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0

0.030429

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80

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0.78769

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0

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1

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0

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0.026316

0.342105

0

null

0

null

0

1

0

c7c444c1fb4481f333fa9c3252930b474ff296c2

27,392

py

Python

openpype/hosts/flame/api/lib.py

j-cube/OpenPype

f0849cbd08070a320d19bb55b7e368189a57e3ab

[ "MIT" ]

1

2022-02-08T15:40:41.000Z

openpype/hosts/flame/api/lib.py

zafrs/OpenPype

4b8e7e1ed002fc55b31307efdea70b0feaed474f

[ "MIT" ]

2

2022-03-18T01:46:03.000Z

2022-03-18T01:46:16.000Z

openpype/hosts/flame/api/lib.py

zafrs/OpenPype

4b8e7e1ed002fc55b31307efdea70b0feaed474f

[ "MIT" ]

null

import sys import os import re import json import pickle import tempfile import itertools import contextlib import xml.etree.cElementTree as cET from copy import deepcopy from xml.etree import ElementTree as ET from pprint import pformat from .constants import ( MARKER_COLOR, MARKER_DURATION, MARKER_NAME, ...

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null

0

null

0

1

0

c7c5220186916c25d94c94c265afef27d8cdfced

1,287

py

Python

newanalysis/plot_performances.py

nriesterer/cogsci-individualization

da97bf0a6b53f440670e22ff591348f3d3fab230

[ "MIT" ]

null

newanalysis/plot_performances.py

nriesterer/cogsci-individualization

da97bf0a6b53f440670e22ff591348f3d3fab230

[ "MIT" ]

null

newanalysis/plot_performances.py

nriesterer/cogsci-individualization

da97bf0a6b53f440670e22ff591348f3d3fab230

[ "MIT" ]

null

import sys import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns if len(sys.argv) != 3: print('usage: python plot_performances.py <group_csv> <indiv_csv>') exit() group_file = sys.argv[1] indiv_file = sys.argv[2] # Load the data df_group = pd.read_csv(group_file) df_i...

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1,287

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99

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0.033333

0

null

0

null

0

1

0

c7c66a8f8b52a73b0ced73b9208760d1628d3b03

3,165

py

Python

integration_test/basic_op_capi.py

cl9200/nbase-arc

47c124b11b0bb2e8a8428c6d628ce82dc24c1ade

[ "Apache-2.0" ]

null

integration_test/basic_op_capi.py

cl9200/nbase-arc

47c124b11b0bb2e8a8428c6d628ce82dc24c1ade

[ "Apache-2.0" ]

null

integration_test/basic_op_capi.py

cl9200/nbase-arc

47c124b11b0bb2e8a8428c6d628ce82dc24c1ade

[ "Apache-2.0" ]

null

# # Copyright 2015 Naver Corp. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing...

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114

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null

0

null

0

1

0

c7c6a85099fcd6a3265a36a9b36bdf7fa4e9b9a7

5,509

py

Python

examples/scripts/flopy_lake_example.py

andrewcalderwood/flopy

0432ce96a0a5eec4d20adb4d384505632a2db3dc

[ "CC0-1.0", "BSD-3-Clause" ]

351

2015-01-03T15:18:48.000Z

2022-03-31T09:46:43.000Z

examples/scripts/flopy_lake_example.py

andrewcalderwood/flopy

0432ce96a0a5eec4d20adb4d384505632a2db3dc

[ "CC0-1.0", "BSD-3-Clause" ]

1,256

2015-01-15T21:10:42.000Z

2022-03-31T22:43:06.000Z

examples/scripts/flopy_lake_example.py

andrewcalderwood/flopy

0432ce96a0a5eec4d20adb4d384505632a2db3dc

[ "CC0-1.0", "BSD-3-Clause" ]

553

2015-01-31T22:46:48.000Z

2022-03-31T17:43:35.000Z

import os import sys import numpy as np import matplotlib.pyplot as plt import flopy def run(): workspace = os.path.join("lake") # make sure workspace directory exists if not os.path.exists(workspace): os.makedirs(workspace) fext = "png" narg = len(sys.argv) iarg = 0 if narg > 1:...

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0

null

0

null

0

1

0

c7c6afa7ba07a568b76988ebc296a4b468c42738

11,428

py

Python

P2/Caso2/clustering.py

Ocete/Inteligenica-de-Negocio

0c3bb3914893c608790002743530aba535be7249

[ "MIT" ]

null

P2/Caso2/clustering.py

Ocete/Inteligenica-de-Negocio

0c3bb3914893c608790002743530aba535be7249

[ "MIT" ]

null

P2/Caso2/clustering.py

Ocete/Inteligenica-de-Negocio

0c3bb3914893c608790002743530aba535be7249

[ "MIT" ]

null

# -*- coding: utf-8 -*- ''' Documentación sobre clustering en Python: http://scikit-learn.org/stable/modules/clustering.html http://www.learndatasci.com/k-means-clustering-algorithms-python-intro/ http://hdbscan.readthedocs.io/en/latest/comparing_clustering_algorithms.html https://joernhees.de...

37.468852

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0.127454

0.113907

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11,428

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0

null

0

null

0

1

0

c7c71735421912226dadf924d3330fb19e4f6af5

9,029

py

Python

signal_processing/ecg_preproc.py

DeepPSP/cpsc2020

47acb884ea1f2f819e564d8a17ad37001ed0df27

[ "BSD-3-Clause" ]

1

2021-12-07T11:44:48.000Z

signal_processing/ecg_preproc.py

wenh06/cpsc2020

47acb884ea1f2f819e564d8a17ad37001ed0df27

[ "BSD-3-Clause" ]

null

signal_processing/ecg_preproc.py

wenh06/cpsc2020

47acb884ea1f2f819e564d8a17ad37001ed0df27

[ "BSD-3-Clause" ]

1

2021-05-25T14:56:02.000Z

""" preprocess of (single lead) ecg signal: band pass --> remove baseline --> find rpeaks --> denoise (mainly deal with motion artefact) TODO: 1. motion artefact detection, and slice the signal into continuous (no motion artefact within) segments 2. to add References: ----------- [1] https://github...

34.59387

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0.248799

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0.021583

0

null

0

null

0

1

0

c7c75c3cc68eb1ff8bc4c52efd3bee52faa60a5f

761

bzl

Python

ocaml/bootstrap.bzl

mobileink/obazl

eb9d10d1aac040dbc05a038265276e3ab3a52233

[ "Apache-2.0" ]

null

ocaml/bootstrap.bzl

mobileink/obazl

eb9d10d1aac040dbc05a038265276e3ab3a52233

[ "Apache-2.0" ]

null

ocaml/bootstrap.bzl

mobileink/obazl

eb9d10d1aac040dbc05a038265276e3ab3a52233

[ "Apache-2.0" ]

null

## mv to //:WORKSPACE.bzl ocaml_configure load("//ocaml/_bootstrap:ocaml.bzl", _ocaml_configure = "ocaml_configure") # load("//ocaml/_bootstrap:obazl.bzl", _obazl_configure = "obazl_configure") load("//ocaml/_rules:ocaml_repository.bzl" , _ocaml_repository = "ocaml_repository") # load("//ocaml/_rules:opam_confi...

38.05

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0.141002

0.085343

0.393321

0.274583

0

0.115637

761

19

97

40.052632

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0.649146

0

0.367188

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0

1

0

false

0

null

0

null

0

1

0

c7c9b4be102dc7ada3fac5b424f329fc54878619

3,021

py

Python

simple/facenet.py

taflahi/facenet

64e74744437e18978782b497b42300b8d4a2342b

[ "MIT" ]

5

2018-09-25T21:04:39.000Z

2020-09-03T20:07:37.000Z

simple/facenet.py

SoloSynth1/facenet

64e74744437e18978782b497b42300b8d4a2342b

[ "MIT" ]

null

simple/facenet.py

SoloSynth1/facenet

64e74744437e18978782b497b42300b8d4a2342b

[ "MIT" ]

14

2018-10-15T00:03:24.000Z

2020-08-11T05:04:24.000Z

import tensorflow as tf from .. src.align import detect_face from .. src import facenet from .. simple import download_model import sys import os from os.path import expanduser import copy import cv2 import numpy as np from scipy import spatial minsize = 20 # minimum size of face threshold = [0.6, 0.7, 0.7] # three ...

35.127907

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0.620655

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0.019857

0.02813

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0

0.038205

0.254882

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0

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0

0.25

0.044118

0

null

0

null

0

1

0

c7cb514f4b628937e89d11a214a0267002c52972

1,515

py

Python

tests/test_messages/test_inbound/test_manage_all_link_record.py

michaeldavie/pyinsteon

e5b2e2910f4eff1474f158051fa71f75c2077dd6

[ "MIT" ]

15

2020-07-08T05:29:14.000Z

2022-03-24T18:56:26.000Z

tests/test_messages/test_inbound/test_manage_all_link_record.py

michaeldavie/pyinsteon

e5b2e2910f4eff1474f158051fa71f75c2077dd6

[ "MIT" ]

107

2019-06-03T09:23:02.000Z

2022-03-31T23:12:38.000Z

tests/test_messages/test_inbound/test_manage_all_link_record.py

michaeldavie/pyinsteon

e5b2e2910f4eff1474f158051fa71f75c2077dd6

[ "MIT" ]

16

2019-01-24T01:09:49.000Z

2022-02-24T03:48:42.000Z

"""Test Manage All-Link Record.""" import unittest from binascii import unhexlify from pyinsteon.address import Address from pyinsteon.constants import AckNak, ManageAllLinkRecordAction, MessageId from pyinsteon.protocol.messages.all_link_record_flags import \ AllLinkRecordFlags from tests import set_log_levels fr...

30.3

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0.654785

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0.040415

0.035233

0.047668

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0.060711

0.238944

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49

77

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0.047337

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0

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0

0.352941

0

null

0

null

0

1

0

c7cbc44076f7cb93b253c24fadcf22b9899a01e8

5,054

py

Python

Clock/Clock_Fig3F.py

chAwater/OpenFig

d37d59c6a77d76c7d8a9e8623ce94a95406f1843

[ "MIT" ]

null

Clock/Clock_Fig3F.py

chAwater/OpenFig

d37d59c6a77d76c7d8a9e8623ce94a95406f1843

[ "MIT" ]

null

Clock/Clock_Fig3F.py

chAwater/OpenFig

d37d59c6a77d76c7d8a9e8623ce94a95406f1843

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 # # Figure Info. # # | Title | Journal | Authors | Article Date | Code Date | Figure | Links | # |:------|:-------:|:-------:|:------------:|:---------:|:------:|:-----:| # |A microfluidic approach for experimentally modelling <br> the intercellular coupling system of a mammalian...

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0.062483

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0.051282

0

null

0

null

0

1

0

c7cbd8f6da109df8e878fcc548912f6a3815a1c2

10,733

py

Python

rameniaapp/views/report.py

awlane/ramenia

6bf8e75a1f279ac584daa4ee19927ffccaa67551

[ "MIT" ]

null

rameniaapp/views/report.py

awlane/ramenia

6bf8e75a1f279ac584daa4ee19927ffccaa67551

[ "MIT" ]

null

rameniaapp/views/report.py

awlane/ramenia

6bf8e75a1f279ac584daa4ee19927ffccaa67551

[ "MIT" ]

null

from django.shortcuts import render, HttpResponse, HttpResponseRedirect from django.template import loader from django.conf import settings from django.contrib.auth.models import User from rameniaapp.models import ReviewReport, ProfileReport, NoodleReport, Report, Review, Profile, Noodle from django.views.generic impor...

39.171533

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false

0

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0

0.447761

0

null

0

null

0

1

0

c7cf1b7d56bb02ccf14d9d4fb7fbc22544c1690f

512

py

Python

mjml/elements/head/mj_style.py

ESA-CCI-ODP/mjml-stub

ffd824923de85f3c02fca7f83ef6b540be048414

[ "MIT" ]

23

2020-10-02T14:52:21.000Z

2022-03-24T16:05:21.000Z

mjml/elements/head/mj_style.py

ESA-CCI-ODP/mjml-stub

ffd824923de85f3c02fca7f83ef6b540be048414

[ "MIT" ]

17

2020-10-07T14:48:06.000Z

2022-03-18T13:56:11.000Z

mjml/elements/head/mj_style.py

ESA-CCI-ODP/mjml-stub

ffd824923de85f3c02fca7f83ef6b540be048414

[ "MIT" ]

8

2021-01-13T11:54:41.000Z

2022-03-10T15:50:55.000Z

from ._head_base import HeadComponent __all__ = ['MjStyle'] class MjStyle(HeadComponent): @classmethod def default_attrs(cls): return { 'inline' : '', } def handler(self): add = self.context['add'] inline_attr = 'inlineStyle' if (self.get_attr('inl...

24.380952

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0.597656

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512

5.784314

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0

0.283203

512

20

90

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0

0.170588

0

1

0.142857

false

0

0.071429

0.357143

0

null

0

null

0

1

0

c7cf29c510e55652c76da9423af99e7754022e49

3,399

py

Python

model_zoo/official/nlp/bert/src/sample_process.py

i4oolish/mindspore

dac3be31d0f2c0a3516200f47af30980e566601b

[ "Apache-2.0" ]

2

2020-08-12T16:14:40.000Z

2020-12-04T03:05:57.000Z

model_zoo/official/nlp/bert/src/sample_process.py

dilingsong/mindspore

4276050f2494cfbf8682560a1647576f859991e8

[ "Apache-2.0" ]

null

model_zoo/official/nlp/bert/src/sample_process.py

dilingsong/mindspore

4276050f2494cfbf8682560a1647576f859991e8

[ "Apache-2.0" ]

null

# Copyright 2020 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to...

33.653465

78

0.562518

427

3,399

4.344262

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0.033962

0.051752

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0.241509

0.219946

0.205391

0

0.017932

0.294498

3,399

100

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0

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0

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0

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1

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false

0

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0.078947

0

null

0

null

0

1

0

c7d08a1b7fd50820c50ef7603b8e08a3f497a3ac

2,273

py

Python

lang_model/data_loader.py

alex44jzy/FancyALMLDLNLP

c55a67a51de72339f4ab13bd46008eb418d293a3

[ "MIT" ]

null

lang_model/data_loader.py

alex44jzy/FancyALMLDLNLP

c55a67a51de72339f4ab13bd46008eb418d293a3

[ "MIT" ]

null

lang_model/data_loader.py

alex44jzy/FancyALMLDLNLP

c55a67a51de72339f4ab13bd46008eb418d293a3

[ "MIT" ]

null

import torch from torch.nn import functional as F from torch.utils.data import Dataset from gensim.corpora.dictionary import Dictionary class LangDataset(Dataset): def __init__(self, src_sents, trg_sents, max_len=-1): self.src_sents = src_sents self.trg_sents = trg_sents # Create the voca...

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c7d378679d5e763e0a3427a5a59048ba70934d41

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py

Python

tests/pytests/scenarios/multimaster/conftest.py

lllamnyp/salt

de112e5b362191e3708e170b7eb8e990787ad412

[ "Apache-2.0" ]

null

tests/pytests/scenarios/multimaster/conftest.py

lllamnyp/salt

de112e5b362191e3708e170b7eb8e990787ad412

[ "Apache-2.0" ]

null

tests/pytests/scenarios/multimaster/conftest.py

lllamnyp/salt

de112e5b362191e3708e170b7eb8e990787ad412

[ "Apache-2.0" ]

null

import logging import os import shutil import subprocess import pytest import salt.utils.platform log = logging.getLogger(__name__) @pytest.fixture(scope="package", autouse=True) def skip_on_tcp_transport(request): if request.config.getoption("--transport") == "tcp": pytest.skip("Multimaster under the T...

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null

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null

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1

0

c7d59e3cde73fd0dad74b149197ee60ec8e8c83b

3,900

py

Python

demisto_sdk/commands/common/hook_validations/release_notes.py

yalonso7/demisto-sdk

4b832078cdadb0b604a064532975e8be68ac726a

[ "MIT" ]

null

demisto_sdk/commands/common/hook_validations/release_notes.py

yalonso7/demisto-sdk

4b832078cdadb0b604a064532975e8be68ac726a

[ "MIT" ]

null

demisto_sdk/commands/common/hook_validations/release_notes.py

yalonso7/demisto-sdk

4b832078cdadb0b604a064532975e8be68ac726a

[ "MIT" ]

null

from __future__ import print_function import itertools from demisto_sdk.commands.common.constants import VALIDATED_PACK_ITEM_TYPES from demisto_sdk.commands.common.errors import Errors from demisto_sdk.commands.common.hook_validations.base_validator import \ BaseValidator from demisto_sdk.commands.common.tools im...

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null

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1

0

c7d5fc15217b2b0e024e35082215227dc7639d0e

14,326

py

Python

PyOpenGL/PyGame/ex06/src/mathematics.py

hoppfull/Legacy-Python

43f465bfdb76c91f2ac16aabb0783fdf5f459adb

[ "MIT" ]

null

PyOpenGL/PyGame/ex06/src/mathematics.py

hoppfull/Legacy-Python

43f465bfdb76c91f2ac16aabb0783fdf5f459adb

[ "MIT" ]

null

PyOpenGL/PyGame/ex06/src/mathematics.py

hoppfull/Legacy-Python

43f465bfdb76c91f2ac16aabb0783fdf5f459adb

[ "MIT" ]

null

import numpy as np class ProjectionMatrix(): """This matrix provides projection distortion. Projection distortion is when things that are far away appear smaller and things that are close appear bigger. This works flawlessly so far. Takes in screen-size and provides near- and far clipping. fov is f...

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0.283658

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null

0

null

0

1

0

c7d672fb0397af44cf591c05913dd9f20b250483

1,652

py

Python

test_utils/mocks.py

radomd92/botjagwar

1dc96600c40041057a9f9afde38c31ca34b8db38

[ "MIT" ]

7

2015-01-23T17:24:04.000Z

2022-01-12T16:54:24.000Z

test_utils/mocks.py

radomd92/botjagwar

1dc96600c40041057a9f9afde38c31ca34b8db38

[ "MIT" ]

18

2017-12-09T01:11:23.000Z

2021-09-22T13:26:24.000Z

test_utils/mocks.py

radomd92/botjagwar

1dc96600c40041057a9f9afde38c31ca34b8db38

[ "MIT" ]

1

2015-06-22T02:17:55.000Z

from xml.dom import minidom import pywikibot from api.decorator import time_this SiteMock = pywikibot.Site class PageMock(pywikibot.Page): def __init__(self, *args, **kwargs): super(PageMock, self).__init__(*args, **kwargs) self.filename = "test_data/test_pages_%s.xml" % self.site.lang ...

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null

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0

c7d6da38ffc0a1fb86619973f197115c4b076c8a

5,796

py

Python

dl_tensorflow/deepdream.py

jarvisqi/deep_learning

988a5b0551ccf2c480a519c66aca149053826d30

[ "MIT" ]

32

2017-10-26T13:37:36.000Z

2021-03-24T09:06:45.000Z

dl_tensorflow/deepdream.py

2892778775/deep_learning

988a5b0551ccf2c480a519c66aca149053826d30

[ "MIT" ]

3

2018-11-19T05:55:46.000Z

2019-03-01T05:20:43.000Z

dl_tensorflow/deepdream.py

2892778775/deep_learning

988a5b0551ccf2c480a519c66aca149053826d30

[ "MIT" ]

38

2017-11-08T15:42:48.000Z

2021-05-10T00:42:33.000Z

import os from functools import partial from io import BytesIO import numpy as np import PIL.Image import scipy.misc import tensorflow as tf graph = tf.Graph() sess = tf.InteractiveSession(graph=graph) model_fn = "./models/tensorflow_inception_graph.pb" with tf.gfile.FastGFile(model_fn, 'rb') as f: graph_def = tf...

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null

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null

0

1

0

c7d6e3bbbed972de89ca1f857b7b3b2178ada3d2

1,829

py

Python

admin.py

BlueBlock/usage-reporter

e30bbef6d281944d62f716c37aff17861a653967

[ "MIT" ]

4

2018-08-30T06:16:35.000Z

2022-02-18T08:06:21.000Z

admin.py

BlueBlock/usage-reporter

e30bbef6d281944d62f716c37aff17861a653967

[ "MIT" ]

1

2018-03-29T17:04:44.000Z

admin.py

BlueBlock/usage-reporter

e30bbef6d281944d62f716c37aff17861a653967

[ "MIT" ]

4

2018-01-31T06:55:32.000Z

2022-01-16T10:39:18.000Z

import calendar import datetime import logging import os import webapp2 import dbmodel TESTING = os.environ.get('SERVER_SOFTWARE', '').startswith('Development') class ResetHandler(webapp2.RequestHandler): def get(self): timestamp = calendar.timegm(datetime.datetime.utcnow().timetuple()) self.re...

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0.25

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null

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null

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1

0

c7d717769a7df13adf5117eb840b41a6b41f5506

2,708

py

Python

napari/utils/colormaps/categorical_colormap_utils.py

Zac-HD/napari

102a7e8f845893c874d2b86f9371d41130100b89

[ "BSD-3-Clause" ]

1

2021-04-24T10:10:54.000Z

napari/utils/colormaps/categorical_colormap_utils.py

Zac-HD/napari

102a7e8f845893c874d2b86f9371d41130100b89

[ "BSD-3-Clause" ]

2

2021-05-17T02:15:08.000Z

2022-03-12T21:19:52.000Z

napari/utils/colormaps/categorical_colormap_utils.py

Zac-HD/napari

102a7e8f845893c874d2b86f9371d41130100b89

[ "BSD-3-Clause" ]

null

from dataclasses import dataclass from itertools import cycle from typing import Dict, Union import numpy as np from ...layers.utils.color_transformations import ( transform_color, transform_color_cycle, ) @dataclass(eq=False) class ColorCycle: """A dataclass to hold a color cycle for the fallback_color...

25.308411

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0.346667

0

null

0

null

0

1

0

c7d75d84ab48e0f55426fa5ef9b76cbde3951e30

7,027

py

Python

src/ipywidgets_toggle_buttons/abc_toggle_buttons_with_hide.py

stas-prokopiev/ipywidgets_toggle_buttons

84d1afde1d02c19fb6a41b20e17b9d2b1c7980e2

[ "MIT" ]

null

src/ipywidgets_toggle_buttons/abc_toggle_buttons_with_hide.py

stas-prokopiev/ipywidgets_toggle_buttons

84d1afde1d02c19fb6a41b20e17b9d2b1c7980e2

[ "MIT" ]

null

src/ipywidgets_toggle_buttons/abc_toggle_buttons_with_hide.py

stas-prokopiev/ipywidgets_toggle_buttons

84d1afde1d02c19fb6a41b20e17b9d2b1c7980e2

[ "MIT" ]

null

"""Abstract class for all toggle buttons""" # Standard library imports import logging from collections import OrderedDict # Third party imports import ipywidgets # Local imports from .abc_toggle_buttons import BaseToggleButtons from .layouts import DICT_LAYOUT_HBOX_ANY LOGGER = logging.getLogger(__name__) class Ba...

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0

null

0

null

0

1

0

c7d7886d9a5f7ae38bdb7d01f1fc136b75bb2a50

3,899

py

Python

Players/DWPMPlayer.py

jokvedaras/game-framework

9ff60e15d1beff54f94e280501929664ce59afe7

[ "Apache-2.0" ]

null

Players/DWPMPlayer.py

jokvedaras/game-framework

9ff60e15d1beff54f94e280501929664ce59afe7

[ "Apache-2.0" ]

null

Players/DWPMPlayer.py

jokvedaras/game-framework

9ff60e15d1beff54f94e280501929664ce59afe7

[ "Apache-2.0" ]

null

__author__ = 'Pat McClernan and Dan Wegmann' import Player import Message # input #0 for rock #1 for paper #2 for scissors # past move is array of numbers # our move followed by their move #Our strategy is to look at all past moves #In a large number of games, you would expect # each move to be seen an even amount ...

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0

null

0

1

0

c7d7ef9a92fb0bfab05a3bc1de9e8efb6f62b67d

1,023

py

Python

example/example.py

mowshon/age-and-gender

e5c912f6ba739f30a45c04208b6d16500e4488cd

[ "MIT" ]

81

2020-06-17T12:53:03.000Z

2022-03-11T20:02:46.000Z

example/example.py

mowshon/age-and-gender

e5c912f6ba739f30a45c04208b6d16500e4488cd

[ "MIT" ]

4

2020-06-18T09:28:12.000Z

2021-07-13T09:16:29.000Z

example/example.py

mowshon/age-and-gender

e5c912f6ba739f30a45c04208b6d16500e4488cd

[ "MIT" ]

17

2020-06-18T07:08:09.000Z

2022-03-31T03:56:58.000Z

from age_and_gender import * from PIL import Image, ImageDraw, ImageFont data = AgeAndGender() data.load_shape_predictor('models/shape_predictor_5_face_landmarks.dat') data.load_dnn_gender_classifier('models/dnn_gender_classifier_v1.dat') data.load_dnn_age_predictor('models/dnn_age_predictor_v1.dat') filename = 'test...

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null

0

null

0

1

0

c7d86ca9e9717fc1914525f4cf4555781fc27cb0

1,463

py

Python

code/generate_games.py

jppg/pygame-tictactoe

f7283a71bb289601b4b8ee0b0bdbe731e67fa8a7

[ "MIT" ]

null

code/generate_games.py

jppg/pygame-tictactoe

f7283a71bb289601b4b8ee0b0bdbe731e67fa8a7

[ "MIT" ]

null

code/generate_games.py

jppg/pygame-tictactoe

f7283a71bb289601b4b8ee0b0bdbe731e67fa8a7

[ "MIT" ]

null

from tictactoe import TicTacToe import random import csv import os gameNr = 1 gameLimit = 10000 lst_moves_1 = [] lst_moves_2 = [] while gameNr <= gameLimit: print("+++++++++++") print("Game#", gameNr) game = TicTacToe() tmp_moves_1 = [] tmp_moves_2 = [] while game.get_winner() == 0 and game....

27.603774

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0

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null

0

null

0

1

0

c7dc267a8e2592a1c24d3b8c06a265a370010c46

2,906

py

Python

stixcore/tmtc/tests/test_packets.py

nicHoch/STIXCore

16822bbb37046f8e6c03be51909cfc91e9822cf7

[ "BSD-3-Clause" ]

1

2022-03-31T13:42:43.000Z

stixcore/tmtc/tests/test_packets.py

nicHoch/STIXCore

16822bbb37046f8e6c03be51909cfc91e9822cf7

[ "BSD-3-Clause" ]

192

2020-11-03T22:40:19.000Z

2022-03-31T15:17:13.000Z

stixcore/tmtc/tests/test_packets.py

nicHoch/STIXCore

16822bbb37046f8e6c03be51909cfc91e9822cf7

[ "BSD-3-Clause" ]

3

2020-11-09T15:05:18.000Z

2022-01-21T07:52:51.000Z

import bitstring import pytest from stixcore.data.test import test_data from stixcore.idb.manager import IDBManager from stixcore.tmtc.packets import ( SOURCE_PACKET_HEADER_STRUCTURE, TC_DATA_HEADER_STRUCTURE, TM_DATA_HEADER_STRUCTURE, SourcePacketHeader, TCPacket, TMDataHeader, TMPacket, ...

41.514286

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null

0

null

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1

0

c7dcceeeb44aada8315f0c77d81c291531d15b79

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py

Python

mxnet/local_forward.py

rai-project/onnx_examples

45db7b3e03dd674f28aeef3fcb1e60f5bca47948

[ "MIT" ]

null

mxnet/local_forward.py

rai-project/onnx_examples

45db7b3e03dd674f28aeef3fcb1e60f5bca47948

[ "MIT" ]

null

mxnet/local_forward.py

rai-project/onnx_examples

45db7b3e03dd674f28aeef3fcb1e60f5bca47948

[ "MIT" ]

null

# run local models given a path, default to './mxnet_models/' import os import argparse import time import mxnet as mx import numpy as np file_path = os.path.realpath(__file__) dir_name = os.path.dirname(file_path) os.environ["MXNET_CUDNN_AUTOTUNE_DEFAULT"] = "0" class cuda_profiler_start(): import numba.cuda ...

27.651786

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null

0

null

0

1

0

c7de097e9b9739100654b069d9cac10ffe5b515c

1,198

py

Python

tests/test_get_angles.py

Mopolino8/lammps-data-file

5c9015d05fa1484a33c84e6cfb90cd4a7d99d133

[ "MIT" ]

13

2017-05-30T17:43:10.000Z

2021-08-06T04:21:44.000Z

tests/test_get_angles.py

njustcodingjs/lammps-data-file

3a0729b5ab4d2344326d09ac4ee1aab41442f14a

[ "MIT" ]

2

2018-05-28T15:35:32.000Z

2018-05-28T16:21:09.000Z

tests/test_get_angles.py

njustcodingjs/lammps-data-file

3a0729b5ab4d2344326d09ac4ee1aab41442f14a

[ "MIT" ]

10

2017-05-23T21:19:21.000Z

2022-03-08T02:18:00.000Z

from lammps_data.angles import get_angles def test_separate_diatomic_molecules_should_have_no_angles(): bonds = [(0, 1), (2, 3)] assert get_angles(bonds) == [] def test_molecule_with_two_bonds_should_have_one_angle(): bonds = [(0, 1), (1, 2)] assert get_angles(bonds) == [(0, 1, 2)] def test_differ...

33.277778

87

0.520033

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1,198

3.196629

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null

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c7e12276bc98092252c4149244dfdf01adca03b0

477

py

Python

9-Wine-Scaling.py

Pawel762/Class-7_homework

e79d2f8d218980d814443951dae7840f521ba191

[ "MIT" ]

null

9-Wine-Scaling.py

Pawel762/Class-7_homework

e79d2f8d218980d814443951dae7840f521ba191

[ "MIT" ]

null

9-Wine-Scaling.py

Pawel762/Class-7_homework

e79d2f8d218980d814443951dae7840f521ba191

[ "MIT" ]

null

from sklearn.preprocessing import StandardScaler from sklearn.datasets import load_wine from sklearn.model_selection import train_test_split wine = load_wine() columns_names = wine.feature_names y = wine.target X = wine.data print('Pre scaling X') print(X) scaler = StandardScaler() scaler.fit(X) scaled_features = sc...

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null

0

null

0

1

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c7e14941f3967e5d720a9a0637e48720262f173d

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py

Python

tests/conftest.py

szkkteam/flask-starter

7019036e7ee017ca5df9059d0b4a0d29005beab5

[ "MIT" ]

null

tests/conftest.py

szkkteam/flask-starter

7019036e7ee017ca5df9059d0b4a0d29005beab5

[ "MIT" ]

2

2021-03-31T19:36:44.000Z

2021-12-13T20:30:11.000Z

tests/conftest.py

szkkteam/flask-starter

7019036e7ee017ca5df9059d0b4a0d29005beab5

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # Common Python library imports import os import pytest # Pip package imports from collections import namedtuple from flask import template_rendered from flask_security.signals import ( reset_password_instructions_sent, user_confirmed, user_registered, ) # In...

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null

0

null

0

1

0

c7e5a0b18daf16984d985969f34fb443eae76979

3,733

py

Python

generate_figure9.py

IBM/Simultaneous-diagonalization

385545401395a2e07f109441db4751a5dcf8f0a4

[ "Apache-2.0" ]

null

generate_figure9.py

IBM/Simultaneous-diagonalization

385545401395a2e07f109441db4751a5dcf8f0a4

[ "Apache-2.0" ]

null

generate_figure9.py

IBM/Simultaneous-diagonalization

385545401395a2e07f109441db4751a5dcf8f0a4

[ "Apache-2.0" ]

1

2022-03-14T18:36:12.000Z

# Copyright 2022 IBM Inc. All rights reserved # SPDX-License-Identifier: Apache2.0 # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless ...

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null

0

null

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1

0

c7e5bf2a376cfb8077d1056296fc71ad74e416d7

793

py

Python

undeployed/legacy/Landsat/L7GapFiller_ArcInterface.py

NASA-DEVELOP/dnppy

8f7ef6f0653f5a4ea730ee557c72a2c89c06ce0b

[ "NASA-1.3" ]

65

2015-09-10T12:59:56.000Z

2022-02-27T22:09:03.000Z

undeployed/legacy/Landsat/L7GapFiller_ArcInterface.py

snowzm/dnppy

8f7ef6f0653f5a4ea730ee557c72a2c89c06ce0b

[ "NASA-1.3" ]

40

2015-04-08T19:23:30.000Z

2015-08-04T15:53:11.000Z

undeployed/legacy/Landsat/L7GapFiller_ArcInterface.py

snowzm/dnppy

8f7ef6f0653f5a4ea730ee557c72a2c89c06ce0b

[ "NASA-1.3" ]

45

2015-08-14T19:09:38.000Z

2022-02-15T18:53:16.000Z

#------------------------------------------------------------------------------- # Name: module1 # Purpose: # # Author: qgeddes # # Created: 25/04/2013 # Copyright: (c) qgeddes 2013 # Licence: <your licence> #------------------------------------------------------------------------------- import L7...

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null

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null

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c7e75b487c0cdec2958e2495ad3a66ff9804a5e3

1,855

py

Python

ingestion/tests/unit/great_expectations/test_ometa_validation_action.py

ulixius9/OpenMetadata

f121698d968717f0932f685ef2a512c2a4d92438

[ "Apache-2.0" ]

null

ingestion/tests/unit/great_expectations/test_ometa_validation_action.py

ulixius9/OpenMetadata

f121698d968717f0932f685ef2a512c2a4d92438

[ "Apache-2.0" ]

null

ingestion/tests/unit/great_expectations/test_ometa_validation_action.py

ulixius9/OpenMetadata

f121698d968717f0932f685ef2a512c2a4d92438

[ "Apache-2.0" ]

null

# Copyright 2022 Collate # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software...

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0

null

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c7e7bdfc8b236f444e8faf6ff083ca3ec5dec358

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py

Python

tests/integration/Containers.py

adnrs96/runtime

e824224317e6aa108cf06968474fc44fa33488d6

[ "Apache-2.0" ]

null

tests/integration/Containers.py

adnrs96/runtime

e824224317e6aa108cf06968474fc44fa33488d6

[ "Apache-2.0" ]

null

tests/integration/Containers.py

adnrs96/runtime

e824224317e6aa108cf06968474fc44fa33488d6

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from storyruntime.Containers import Containers from storyruntime.constants.ServiceConstants import ServiceConstants import storyscript def test_containers_format_command(story): """ Ensures a simple resolve can be performed """ story_text = 'alpine echo msg:"foo"\n' story....

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null

0

null

0

1

0

c7e91e12c70be5743a54ddceae5d419516ca3301

1,367

py

Python

project_name/core/admin.py

cosmunsoftwares/django-boilerplate

147aa7f59901d0fb95d41acf8ec118c6830267f8

[ "MIT" ]

3

2018-11-30T19:51:35.000Z

2020-10-20T00:28:49.000Z

project_name/core/admin.py

cosmun-softwares/django-boilerplate

147aa7f59901d0fb95d41acf8ec118c6830267f8

[ "MIT" ]

6

2020-04-09T20:00:45.000Z

2022-02-10T08:25:47.000Z

project_name/core/admin.py

cosmunsoftwares/django-boilerplate

147aa7f59901d0fb95d41acf8ec118c6830267f8

[ "MIT" ]

1

2018-08-27T21:44:44.000Z

from django.contrib import admin from django.shortcuts import redirect from django.utils.safestring import mark_safe from django.contrib.admin.widgets import AdminFileWidget class AdminImageWidget(AdminFileWidget): def render(self, name, value, attrs=None, renderer=None): output = [] if value and ...

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null

0

null

0

1

0

c7e9c8cc7086c2b1fd149895cfcda90298ab4af1

1,222

py

Python

src/5vents.py

subhash686/aoc-2021

a01fa07f94148b7072c3ba4c854b546862d3486a

[ "Apache-2.0" ]

null

src/5vents.py

subhash686/aoc-2021

a01fa07f94148b7072c3ba4c854b546862d3486a

[ "Apache-2.0" ]

null

src/5vents.py

subhash686/aoc-2021

a01fa07f94148b7072c3ba4c854b546862d3486a

[ "Apache-2.0" ]

null

import os plane = [[0 for i in range(1000)] for j in range(1000)] count = [0] def overlapping_vents(): path = os.getcwd() file_path = os.path.join(path, 'vents.txt') file1 = open(file_path, 'r') Lines = file1.readlines() for line in Lines: input = line.strip() points = input.spli...

22.218182

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0

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0.088889

0.022222

0

null

0

null

0

1

0

c7eb057d4134335a7eb1bab05618a4866e334bff

1,217

py

Python

problems/test_0073_m_plus_n_space.py

chrisxue815/leetcode_python

dec3c160d411a5c19dc8e9d96e7843f0e4c36820

[ "Unlicense" ]

1

2017-06-17T23:47:17.000Z

problems/test_0073_m_plus_n_space.py

chrisxue815/leetcode_python

dec3c160d411a5c19dc8e9d96e7843f0e4c36820

[ "Unlicense" ]

null

problems/test_0073_m_plus_n_space.py

chrisxue815/leetcode_python

dec3c160d411a5c19dc8e9d96e7843f0e4c36820

[ "Unlicense" ]

null

import unittest class Solution: def setZeroes(self, matrix): """ :type matrix: List[List[int]] :rtype: void Do not return anything, modify matrix in-place instead. """ rows = [0] * len(matrix) cols = [0] * len(matrix[0]) for i, row in enumerate(matrix): ...

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0.162162

0

null

0

null

0

1

0

c7edb1043a4f03dfdc950843e15b617197779da3

9,077

py

Python

tests/unit/test_juju.py

KellenRenshaw/hotsos

e3fc51ab7f8af606a5846a3486a7fda23d761583

[ "Apache-2.0" ]

null

tests/unit/test_juju.py

KellenRenshaw/hotsos

e3fc51ab7f8af606a5846a3486a7fda23d761583

[ "Apache-2.0" ]

null

tests/unit/test_juju.py

KellenRenshaw/hotsos

e3fc51ab7f8af606a5846a3486a7fda23d761583

[ "Apache-2.0" ]

null

import os import tempfile import mock from . import utils from hotsos.core.config import setup_config from hotsos.core.ycheck.scenarios import YScenarioChecker from hotsos.core.issues.utils import KnownBugsStore, IssuesStore from hotsos.plugin_extensions.juju import summary JOURNALCTL_CAPPEDPOSITIONLOST = """ Dec 2...

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null

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null

0

1

0

c7ef7d842b61d4e084cbe5d2d84903334c53e8d0

9,626

py

Python

tools/SPGAN/main.py

by-liu/OpenUnReID

2260d8e16588a992631c9c84e6cee4304ae8593d

[ "Apache-2.0" ]

null

tools/SPGAN/main.py

by-liu/OpenUnReID

2260d8e16588a992631c9c84e6cee4304ae8593d

[ "Apache-2.0" ]

null

tools/SPGAN/main.py

by-liu/OpenUnReID

2260d8e16588a992631c9c84e6cee4304ae8593d

[ "Apache-2.0" ]

null

import argparse import collections import shutil import sys import time from datetime import timedelta from pathlib import Path import torch from torch.nn.parallel import DataParallel, DistributedDataParallel try: # PyTorch >= 1.6 supports mixed precision training from torch.cuda.amp import autocast amp_su...

31.980066

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0

null

0

null

0

1

0

c7efcc01c957ea47bff3471d2bc47b9aa1291cde

1,907

py

Python

utility/data_download.py

LatvianPython/wind-experience

b634c020dff0a01152bb95b38e5f6f0e368d47f5

[ "MIT" ]

2

2018-12-20T20:31:21.000Z

2018-12-29T14:51:42.000Z

utility/data_download.py

LatvianPython/wind-experience

b634c020dff0a01152bb95b38e5f6f0e368d47f5

[ "MIT" ]

null

utility/data_download.py

LatvianPython/wind-experience

b634c020dff0a01152bb95b38e5f6f0e368d47f5

[ "MIT" ]

null

import logging import requests import multiprocessing import pathlib from typing import List from typing import Optional from typing import Tuple from typing import Dict from joblib import delayed from joblib import Parallel from datetime import date from datetime import timedelta logger = logging.getLogger(__name__) ...

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null

0

1

0

c7f2afbcc386f15d0c1677f0f7647f383dcc88bb

7,625

py

Python

model/net_qspline_A.py

jercoco/QSQF

6c435f8d4e1baf1937b06a52e63446f9a29f5ad8

[ "Apache-2.0" ]

null

model/net_qspline_A.py

jercoco/QSQF

6c435f8d4e1baf1937b06a52e63446f9a29f5ad8

[ "Apache-2.0" ]

null

model/net_qspline_A.py

jercoco/QSQF

6c435f8d4e1baf1937b06a52e63446f9a29f5ad8

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Created on Wed Oct 21 19:52:22 2020 #Plan A @author: 18096 """ '''Defines the neural network, loss function and metrics''' #from functools import reduce import torch import torch.nn as nn from torch.nn.functional import pad from torch.autograd import Variable import logging ...

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0

null

0

null

0

1

0

c7f3bbfe8ecf852146009a98359ee99148f7760a

11,124

py

Python

workflow_parser/datasource/log_engine.py

cyx1231st/workflow_parser

d2e78c191c75c7addda89e6e336be90f6ca9717d

[ "Apache-2.0" ]

null

workflow_parser/datasource/log_engine.py

cyx1231st/workflow_parser

d2e78c191c75c7addda89e6e336be90f6ca9717d

[ "Apache-2.0" ]

null

workflow_parser/datasource/log_engine.py

cyx1231st/workflow_parser

d2e78c191c75c7addda89e6e336be90f6ca9717d

[ "Apache-2.0" ]

null

# Copyright (c) 2017 Yingxin Cheng # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in wr...

36.352941

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11,124

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0.059908

0

null

0

null

0

1

0

c7f4992bb494868e3842c501796146ce55443adc

2,241

py

Python

checkpoint.py

GooLee0123/MBRNN

c313bc286b34a2f6e0cbc1ec0941c511ff8dc8d3

[ "MIT" ]

1

2021-12-07T03:59:51.000Z

checkpoint.py

GooLee0123/MBRNN

c313bc286b34a2f6e0cbc1ec0941c511ff8dc8d3

[ "MIT" ]

null

checkpoint.py

GooLee0123/MBRNN

c313bc286b34a2f6e0cbc1ec0941c511ff8dc8d3

[ "MIT" ]

1

2022-02-23T02:15:56.000Z

import logging import os import shutil import time import torch model_state = 'model_state.pt' trainer_state = 'trainer_state.pt' class Checkpoint(): def __init__(self, step, epoch, model, optim, path=None, opt=None): self.step = step self.epoch = epoch self.model = model self.o...

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0.000648

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77

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0

null

0

null

0

1

0

c7f4e1c0cff8588ab79a5f138125b800da16d5b8

4,250

py

Python

test/eval_mines_color.py

alalagong/LEDNet

5dee5ee4edc75c24e6cda50dc1661d8f0b1e6469

[ "MIT" ]

3

2019-08-13T07:21:23.000Z

2020-06-27T16:18:22.000Z

test/eval_mines_color.py

alalagong/LEDNet

5dee5ee4edc75c24e6cda50dc1661d8f0b1e6469

[ "MIT" ]

1

2020-12-14T05:56:44.000Z

test/eval_mines_color.py

alalagong/LEDNet

5dee5ee4edc75c24e6cda50dc1661d8f0b1e6469

[ "MIT" ]

1

2019-11-13T12:09:58.000Z

import numpy as np import torch import os import cv2 import importlib from dataset import * from PIL import Image from argparse import ArgumentParser from torch.autograd import Variable from torch.utils.data import DataLoader from torchvision.transforms import Compose, CenterCrop, Normalize, Resize from torchvision.tr...

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null

0

null

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0

1bdbd0dddd803ccbb1c990600d899d8ab9de0788

2,440

py

Python

tests/test_resource_linkage.py

firesock/pydantic-jsonapi

b7dc891892ab3439a71f78a9a5fd067c4d651ca8

[ "MIT" ]

null

tests/test_resource_linkage.py

firesock/pydantic-jsonapi

b7dc891892ab3439a71f78a9a5fd067c4d651ca8

[ "MIT" ]

null

tests/test_resource_linkage.py

firesock/pydantic-jsonapi

b7dc891892ab3439a71f78a9a5fd067c4d651ca8

[ "MIT" ]

null

import pytest from pytest import raises from pydantic_jsonapi.resource_linkage import ResourceLinkage from pydantic import BaseModel, ValidationError class ThingWithLinkageData(BaseModel): data: ResourceLinkage class TestResourceLinks: @pytest.mark.parametrize( 'linkage, message', [ ...

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null

0

null

0

1

0

1bdd2e9e5e9fd87db022a69e90bc6723cd058b21

2,046

py

Python

src/tensorflow/keras_cnn.py

del680202/MachineLearning-memo

29284ca24041969eeb59851a43ab6c28c685fae5

[ "Apache-2.0" ]

4

2017-04-24T15:01:55.000Z

2019-11-03T11:11:54.000Z

src/tensorflow/keras_cnn.py

aasd145tw/MachineLearning-memo

29284ca24041969eeb59851a43ab6c28c685fae5

[ "Apache-2.0" ]

null

src/tensorflow/keras_cnn.py

aasd145tw/MachineLearning-memo

29284ca24041969eeb59851a43ab6c28c685fae5

[ "Apache-2.0" ]

12

2017-05-10T13:39:17.000Z

2019-12-15T14:01:05.000Z

import numpy as np from keras.datasets import mnist from keras.models import Sequential from keras.layers.core import Dense, Dropout, Activation from keras.optimizers import SGD from keras.utils import np_utils import keras.callbacks import keras.backend.tensorflow_backend as KTF import tensorflow as tf batch_size = 1...

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null

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null

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1

0

1be156b5a97033cae1d2dce7ad771f398dbde2ad

4,942

py

Python

tests/blas/nodes/ger_test.py

xiacijie/dace

2d942440b1d7b139ba112434bfa78f754e10bfe5

[ "BSD-3-Clause" ]

1

2021-07-26T07:58:06.000Z

tests/blas/nodes/ger_test.py

xiacijie/dace

2d942440b1d7b139ba112434bfa78f754e10bfe5

[ "BSD-3-Clause" ]

null

tests/blas/nodes/ger_test.py

xiacijie/dace

2d942440b1d7b139ba112434bfa78f754e10bfe5

[ "BSD-3-Clause" ]

1

2021-03-04T13:01:48.000Z

#!/usr/bin/env python3 # Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved. from dace.transformation.dataflow.streaming_memory import StreamingMemory from dace.transformation.interstate.sdfg_nesting import InlineSDFG from dace.transformation.interstate.fpga_transform_sdfg import FPGATransformSDF...

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null

0

null

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1

0

1be16c8b647df2316a1c8f8f394a926e8273c86d

1,925

py

Python

spp.py

ninfueng/torch-cifar

f829c3375a9d9823cef4659f8bdfbd3800d51e80

[ "MIT" ]

null

spp.py

ninfueng/torch-cifar

f829c3375a9d9823cef4659f8bdfbd3800d51e80

[ "MIT" ]

null

spp.py

ninfueng/torch-cifar

f829c3375a9d9823cef4659f8bdfbd3800d51e80

[ "MIT" ]

null

import math from typing import List, Union import torch import torch.nn as nn import torch.nn.functional as F from torch import Tensor @torch.jit.script def spatial_pyramid_pool( input: Tensor, bins: Union[int, List[int]], mode: str = "max" ) -> Tensor: """Spatial Pyramid Pooling: https://arxiv.org/pdf/1406....

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0

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0

null

0

null

0

1

0

1be1d0ad6c2cd6a6b3082cd64ad7f9633b3033de

21,417

py

Python

src/SparseSC/utils/AzureBatch/azure_batch_client.py

wofein/SparseSC

fd8125015c65829458bfee2ae94c24981112d2d8

[ "MIT" ]

null

src/SparseSC/utils/AzureBatch/azure_batch_client.py

wofein/SparseSC

fd8125015c65829458bfee2ae94c24981112d2d8

[ "MIT" ]

null

src/SparseSC/utils/AzureBatch/azure_batch_client.py

wofein/SparseSC

fd8125015c65829458bfee2ae94c24981112d2d8

[ "MIT" ]

null

""" usage requires these additional modules pip install azure-batch azure-storage-blob jsonschema pyyaml && pip install git+https://github.com/microsoft/SparseSC.git@ad4bf27edb28f517508f6934f21eb65d17fb6543 && scgrad start usage: from SparseSC import fit, aggregate_batch_results from SparseSC.utils.azure_batch_clie...

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0.110778

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null

0

null

0

1

0

1be31bb2955f81221fbda20bbf33d2351c12d6c3

20,773

py

Python

covid19/COVID19/code/controller/main.py

zhanqingheng/COVID-19

d050ad2effedb9090865d1104ccd5c5d04343f53

[ "MIT" ]

16

2020-06-08T10:14:13.000Z

2022-03-30T02:44:04.000Z

covid19/COVID19/code/controller/main.py

zhanqingheng/COVID-19

d050ad2effedb9090865d1104ccd5c5d04343f53

[ "MIT" ]

1

2021-11-18T10:03:42.000Z

covid19/COVID19/code/controller/main.py

zhanqingheng/COVID-19

d050ad2effedb9090865d1104ccd5c5d04343f53

[ "MIT" ]

4

2021-03-06T04:44:03.000Z

2021-12-09T07:22:50.000Z

from flask import Flask, current_app from flask import render_template from flask import jsonify from jieba.analyse import extract_tags import string from DB import chinaSQL from DB import worldSQL app = Flask(__name__, template_folder='../../web', static_folder='../../static') @app.route('/', methods=["get", "post"...

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null

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null

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1

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1be41a8ed3e94194a6131c0c94be533e83696d98

3,402

py

Python

contrib/cirrus/podbot.py

juhp/libpod

bc7afd6d71da4173e4894ff352667a25987fa2ea

[ "Apache-2.0" ]

2

2021-09-20T00:29:06.000Z

2021-11-28T08:36:20.000Z

contrib/cirrus/podbot.py

juhp/libpod

bc7afd6d71da4173e4894ff352667a25987fa2ea

[ "Apache-2.0" ]

2

2020-01-04T03:31:18.000Z

2021-05-17T09:54:03.000Z

contrib/cirrus/podbot.py

juhp/libpod

bc7afd6d71da4173e4894ff352667a25987fa2ea

[ "Apache-2.0" ]

1

2019-04-08T21:58:07.000Z

#!/usr/bin/env python3 # Simple and dumb script to send a message to the #podman IRC channel on frenode # Based on example from: https://pythonspot.com/building-an-irc-bot/ import os import time import random import errno import socket import sys class IRC: response_timeout = 10 # seconds irc = socket.sock...

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null

0

null

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1

0

1be723fadb484c2875b98748f51d456625b23262

5,251

py

Python

topopt/mechanisms/problems.py

arnavbansal2764/topopt

74d8f17568a9d3349632e23840a9dc5b0d6c4d1f

[ "MIT" ]

53

2020-04-14T10:13:04.000Z

2022-02-24T03:16:57.000Z

topopt/mechanisms/problems.py

arnavbansal2764/topopt

74d8f17568a9d3349632e23840a9dc5b0d6c4d1f

[ "MIT" ]

5

2020-11-12T23:56:30.000Z

2021-09-30T19:24:06.000Z

topopt/mechanisms/problems.py

arnavbansal2764/topopt

74d8f17568a9d3349632e23840a9dc5b0d6c4d1f

[ "MIT" ]

15

2020-02-12T01:32:07.000Z

2022-02-20T02:44:55.000Z

"""Compliant mechanism synthesis problems using topology optimization.""" import numpy import scipy.sparse from ..problems import ElasticityProblem from .boundary_conditions import MechanismSynthesisBoundaryConditions from ..utils import deleterowcol class MechanismSynthesisProblem(ElasticityProblem): r""" ...

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null

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null

0

1

0

1be7ab6f787e652d44d15533e2b5246954d6801d

932

py

Python

tests/test_parse_icao24bit.py

Collen-Roller/arp

08eaa2dda3adb1dbd600597a6d03603669c8e06d

[ "MIT" ]

2

2020-10-28T17:03:14.000Z

2021-01-27T10:44:33.000Z

tests/test_parse_icao24bit.py

Collen-Roller/arp

08eaa2dda3adb1dbd600597a6d03603669c8e06d

[ "MIT" ]

8

2020-12-08T16:42:43.000Z

2020-12-29T00:41:33.000Z

tests/test_parse_icao24bit.py

Collen-Roller/arp

08eaa2dda3adb1dbd600597a6d03603669c8e06d

[ "MIT" ]

1

2020-12-09T20:35:52.000Z

import unittest from flydenity import Parser class TestParseIcao24Bit(unittest.TestCase): def setUp(self): self.parser = Parser() def test_parse_simple(self): match = self.parser.parse("3D2591", icao24bit=True) self.assertEqual(match, {"nation": "Germany", "description": "general", ...

35.846154

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0.375

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null

0

null

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1

0

1be82da5cbe879b6b36fe90dd23217980058a69e

465

py

Python

ever/util/_main.py

Bobholamovic/ever

f38060674a40ed53072b9d9be99cc656a830398f

[ "Apache-2.0" ]

22

2021-08-21T00:13:18.000Z

2022-03-28T19:38:10.000Z

ever/util/_main.py

Bobholamovic/ever

f38060674a40ed53072b9d9be99cc656a830398f

[ "Apache-2.0" ]

2

2021-09-01T06:28:38.000Z

2021-12-06T07:17:57.000Z

ever/util/_main.py

Bobholamovic/ever

f38060674a40ed53072b9d9be99cc656a830398f

[ "Apache-2.0" ]

6

2021-08-21T06:32:47.000Z

2022-02-10T07:41:29.000Z

import os def create_project(path): dirs = ['configs', 'module', 'data'] dirs = [os.path.join(path, d) for d in dirs] for d in dirs: os.makedirs(d) train_script = r""" import ever as er def train(trainer_name): trainer = er.trainer.get_trainer(trainer_name)() trainer.run() ...

19.375

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0.247312

465

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0.777143

0

0.381466

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0

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0.2

0.066667

0

null

0

null

0

1

0

1bea69b9a810613a8cdcc7d4cd5f8e74e2b87b61

687

py

Python

resthelper/tests/test_build_url.py

rklonner/resthelper

c129a7ff3efb5447aeb9794142c4d640261d962d

[ "MIT" ]

null

resthelper/tests/test_build_url.py

rklonner/resthelper

c129a7ff3efb5447aeb9794142c4d640261d962d

[ "MIT" ]

null

resthelper/tests/test_build_url.py

rklonner/resthelper

c129a7ff3efb5447aeb9794142c4d640261d962d

[ "MIT" ]

null

import unittest from resthelper.utils import build_restful_url class TestBuildUrl(unittest.TestCase): def test_is_restful_https_url(self): url = build_restful_url('https://jenkins1.tttech.com', 'testuser', '/rest/1.0/request') self.assertEqual(url, 'htt...

32.714286

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0.023121

0.244541

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0.333333

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null

0

null

0

1

0

1bee0a3b08699aa37d40800889d795e3cdf9fb23

2,918

py

Python

cwbot/kolextra/request/ItemDescriptionRequest.py

zeryl/RUcwbot

734716506066da599fcbc96d0a815a5e30f6e077

[ "BSD-3-Clause" ]

null

cwbot/kolextra/request/ItemDescriptionRequest.py

zeryl/RUcwbot

734716506066da599fcbc96d0a815a5e30f6e077

[ "BSD-3-Clause" ]

1

2019-04-15T02:48:19.000Z

2019-04-15T03:02:36.000Z

cwbot/kolextra/request/ItemDescriptionRequest.py

rlbond86/cwbot

2432a9c9d048b7600b53d5cb8f7ef608c6613258

[ "BSD-3-Clause" ]

null

from kol.request.GenericRequest import GenericRequest from kol.manager import PatternManager import re class ItemDescriptionRequest(GenericRequest): "Gets the description of an item and then parses various information from the response." _itemIdPattern = re.compile(r'(?i)') def...

42.911765

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0.224375

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0.002677

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false

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0.148936

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null

0

null

0

1

0

1bef48d1f47271bb3d6c33f78c3cf6b32220029d

3,578

py

Python

VokeScan.py

DaduVoke/VokeScan

a80c8e99ab74dd15a4f9bc3ba7e01abd81840f2c

[ "MIT" ]

2

2021-12-05T04:00:50.000Z

2022-03-24T17:53:26.000Z

VokeScan.py

DaduVoke/VokeScan

a80c8e99ab74dd15a4f9bc3ba7e01abd81840f2c

[ "MIT" ]

null

VokeScan.py

DaduVoke/VokeScan

a80c8e99ab74dd15a4f9bc3ba7e01abd81840f2c

[ "MIT" ]

null

import sys,time def sprint(str): for c in str + '\n': sys.stdout.write(c) sys.stdout.flush() time.sleep(3./90) from colorama import Fore, Back, Style sprint (Fore.RED + "გამარჯობა. tool-ი შექმინლია ლევან ყიფიანი-DaduVoke-ის მიერ @2021") import socket import _thread im...

18.162437

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0.037016

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196

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0.739982

0

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0.023957

0

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false

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0.147727

0

null

0

null

0

1

0

1bef4c913e56949ae48100d1d528ebecb2bb01d8

53,296

py

Python

agent/src/clacks/agent/objects/object.py

gonicus/clacks

da579f0acc4e48cf2e9451417ac6792282cf7ab6

[ "ZPL-2.1" ]

2

2015-01-26T07:15:19.000Z

2015-11-09T13:42:11.000Z

agent/src/clacks/agent/objects/object.py

gonicus/clacks

da579f0acc4e48cf2e9451417ac6792282cf7ab6

[ "ZPL-2.1" ]

null

agent/src/clacks/agent/objects/object.py

gonicus/clacks

da579f0acc4e48cf2e9451417ac6792282cf7ab6

[ "ZPL-2.1" ]

null

# This file is part of the clacks framework. # # http://clacks-project.org # # Copyright: # (C) 2010-2012 GONICUS GmbH, Germany, http://www.gonicus.de # # License: # GPL-2: http://www.gnu.org/licenses/gpl-2.0.html # # See the LICENSE file in the project's top-level directory for details. """ The object base class. ...

38.287356

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0.005006

0.018773

0.010013

0.133917

0

null

0

null

0

1

0

1bf4cd25d9e85b2b0cb4131798b2cd2ef33b36d7

10,926

py

Python

idaes/apps/matopt/materials/lattices/diamond_lattice.py

carldlaird/idaes-pse

cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f

[ "RSA-MD" ]

112

2019-02-11T23:16:36.000Z

2022-03-23T20:59:57.000Z

idaes/apps/matopt/materials/lattices/diamond_lattice.py

carldlaird/idaes-pse

cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f

[ "RSA-MD" ]

621

2019-03-01T14:44:12.000Z

2022-03-31T19:49:25.000Z

idaes/apps/matopt/materials/lattices/diamond_lattice.py

carldlaird/idaes-pse

cc7a32ca9fa788f483fa8ef85f3d1186ef4a596f

[ "RSA-MD" ]

154

2019-02-01T23:46:33.000Z

2022-03-23T15:07:10.000Z

################################################################################# # The Institute for the Design of Advanced Energy Systems Integrated Platform # Framework (IDAES IP) was produced under the DOE Institute for the # Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021 # by the softwar...

43.185771

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10,926

4.247295

0.188563

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0.021834

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0.347707

0.324418

0.276201

0.228166

0

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10,926

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115

43.357143

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1

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0.305419

0

null

0

null

0

1

0

1bf4f3ec8b611663d899f073f4f41ae66286507f

12,055

py

Python

elateridae_baits.py

AAFC-BICoE/elateridae-ortholog-baitset

8e17212a26539dfd79b414ffe8f243a906d32149

[ "MIT" ]

null

elateridae_baits.py

AAFC-BICoE/elateridae-ortholog-baitset

8e17212a26539dfd79b414ffe8f243a906d32149

[ "MIT" ]

null

elateridae_baits.py

AAFC-BICoE/elateridae-ortholog-baitset

8e17212a26539dfd79b414ffe8f243a906d32149

[ "MIT" ]

null

# coding: utf8 """ Ortholog Based Bait Design Script for creating Elateridae ortholog based baits suitable submission to myBaits Compares t_coffee AA alignment scores with nucleotide tranalignments to find conserved blocks Author Jackson Eyres jackson.eyres@canada.ca License: MIT Copywright: Government of Canada """ i...

36.41994

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12,055

4.532828

0.210859

0.020056

0.019499

0.016295

0.21351

0.157939

0.132591

0.109053

0.085933

0.081198

0

0.013413

0.28876

12,055

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118

36.530303

0.824003

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0

1

0.036458

false

0.015625

0.03125

0

0.098958

0.036458

0

null

0

null

0

1

0

1bf638f00910b809a7d45e1aeabdb75e4e5aef9c

1,361

py

Python

poilab.py

octeufer/Annotate_Optimize

32d9cecc0159882d3f962990aba07168c4a023f5

[ "Apache-2.0" ]

null

poilab.py

octeufer/Annotate_Optimize

32d9cecc0159882d3f962990aba07168c4a023f5

[ "Apache-2.0" ]

null

poilab.py

octeufer/Annotate_Optimize

32d9cecc0159882d3f962990aba07168c4a023f5

[ "Apache-2.0" ]

null

import sys import numpy as np sys.path.append("d:/data/annooptimize") import triangle import time tinternal = list() def labstart(): points,tri = triangle.gentri("d:/data/annooptimize/Annodata/200600/poise.shp") plabels = triangle.dynamicSize(points) conflictg = triangle.conflictgraphdy(points,...

38.885714

87

0.722998

152

1,361

6.473684

0.375

0.020325

0.069106

0.057927

0.137195

0

0.053726

0.152094

1,361

34

88

40.029412

0.79896

0

0.103448

0

0.121326

0.106255

0

1

0.034483

false

0

0.137931

0

0.206897

0

null

0

null

0

1

0

1bf7f1bc739f582663b9e33d97b9d4189cae0d04

473

py

Python

fitbit/__init__.py

erichilarysmithsr/python-fitbit

38cf916d0318aedc91b31d15431fa9c49a13d15f

[ "Apache-2.0" ]

null

fitbit/__init__.py

erichilarysmithsr/python-fitbit

38cf916d0318aedc91b31d15431fa9c49a13d15f

[ "Apache-2.0" ]

null

fitbit/__init__.py

erichilarysmithsr/python-fitbit

38cf916d0318aedc91b31d15431fa9c49a13d15f

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Fitbit API Library ------------------ :copyright: 2012-2015 ORCAS. :license: BSD, see LICENSE for more details. """ from .api import Fitbit, FitbitOauthClient, FitbitOauth2Client # Meta. __title__ = 'fitbit' __author__ = 'Issac Kelly and ORCAS' __author_email__ = 'bpitcher@orcasinc.com' ...

18.192308

62

0.684989

57

473

5.157895

0.719298

0.088435

0.115646

0.14966

0.197279

0

0.064356

0.145877

473

25

63

18.92

0.663366

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0

0.305921

0.069079

0

1

0

false

0

0.111111

0

0.111111

0

null

0

null

0

1

0

1bf7f576395a0ca86f448e1c60010a3d363f6af6

468

py

Python

bitcoinExchange/exchange/api/urls.py

pogginicolo98/start2impact_exchange

559c42cdeb2dec890d4b1145ed66a1a2f7c362cb

[ "MIT" ]

1

2021-09-08T16:39:07.000Z

bitcoinExchange/exchange/api/urls.py

pogginicolo98/start2impact_exchange

559c42cdeb2dec890d4b1145ed66a1a2f7c362cb

[ "MIT" ]

null

bitcoinExchange/exchange/api/urls.py

pogginicolo98/start2impact_exchange

559c42cdeb2dec890d4b1145ed66a1a2f7c362cb

[ "MIT" ]

null

from django.urls import include, path from exchange.api.views import LatestOrdersListAPIView, OrderViewSet, ProfileAPIView from rest_framework.routers import DefaultRouter router = DefaultRouter() router.register(r'orders', OrderViewSet, basename='orders') urlpatterns = [ path('profile/', ProfileAPIView.as_view()...

36

84

0.767094

51

468

6.980392

0.54902

0.106742

0.05618

0

0.100427

468

12

85

39

0.845606

0

0.130342

0

1

0

false

0

0.3

0

0.3

0

null

0

null

0

1

0

1bf8ddafa4dc0ba6cd6a406c255c3270696943bb

848

py

Python

kevin/aggregate/process_html.py

toddoh/thisisallabout_backend

a0c7bad675bd3fff97f99c3e2b49f19a1fef7640

[ "MIT" ]

null

kevin/aggregate/process_html.py

toddoh/thisisallabout_backend

a0c7bad675bd3fff97f99c3e2b49f19a1fef7640

[ "MIT" ]

5

2021-03-18T22:18:49.000Z

2022-03-11T23:40:56.000Z

kevin/aggregate/process_html.py

toddoh/thisisallabout_backend

a0c7bad675bd3fff97f99c3e2b49f19a1fef7640

[ "MIT" ]

1

2019-10-16T19:29:12.000Z

from bs4 import BeautifulSoup import requests import re def retrieveText(): print("Parsing text from online target") url = "https://www.whitehouse.gov/the-press-office/2017/10/16/remarks-president-trump-and-senate-majority-leader-mitch-mcconnell-joint" response = requests.get(url) soup = BeautifulSoup(...

38.545455

173

0.660377

102

848

5.480392

0.656863

0.028623

0.021467

0.050089

0

0.024286

0.174528

848

22

174

38.545455

0.774286

0.022406

0

0.0625

0.299517

0

1

0.0625

false

0

0.1875

0

0.3125

0.0625

0

null

0

null

0

1

0

1bf9ff44f1b06f0e0c18c710168ee340dcb2a97f

869

py

Python

cfmacro/_resources/examples/lambda.py

gchiesa/cfmacro

9c546b7930a54a9b44efffdf87401726981e1b2a

[ "MIT" ]

null

cfmacro/_resources/examples/lambda.py

gchiesa/cfmacro

9c546b7930a54a9b44efffdf87401726981e1b2a

[ "MIT" ]

1

2019-07-30T08:49:20.000Z

cfmacro/_resources/examples/lambda.py

gchiesa/cfmacro

9c546b7930a54a9b44efffdf87401726981e1b2a

[ "MIT" ]

null

# -*- coding: utf-8 -*- from cfmacro.processors import SgProcessor from cfmacro.core.engine import ProcessorEngine from cfmacro.core.template import TemplateProcessor def lambda_handler(event, context): """ Implement a core handler for security groups ingress / egress :param event: :param context: ...

28.966667

99

0.674338

85

869

6.788235

0.517647

0.057192

0.051993

0

0.001473

0.218642

869

29

100

29.965517

0.848306

0.143844

0

0.179021

0.032168

0

1

0.0625

false

0

0.1875

0

0.3125

0.125

0

null

0

null

0

1

0

1bfcaa846cbe80234230889e864b2dd049be6c62

8,038

py

Python

tf2qa/predict_long.py

mikelkl/TF2-QA

3bca786d26565335df45538714532d6d3c070a2b

[ "MIT" ]

17

2020-01-29T10:31:07.000Z

2022-01-10T03:36:00.000Z

tf2qa/predict_long.py

mikelkl/TF2-QA

3bca786d26565335df45538714532d6d3c070a2b

[ "MIT" ]

null

tf2qa/predict_long.py

mikelkl/TF2-QA

3bca786d26565335df45538714532d6d3c070a2b

[ "MIT" ]

4

2021-01-27T15:42:45.000Z

2021-12-12T20:41:51.000Z

import torch import argparse from roberta_modeling import RobertaJointForLong from transformers.modeling_roberta import RobertaConfig, RobertaModel from torch.utils.data import TensorDataset, SequentialSampler, DataLoader import utils from tqdm import tqdm import os import json import collections import pickle import p...

43.923497

122

0.686365

1,040

8,038

4.991346

0.206731

0.027548

0.032556

0.013485

0.372375

0.256983

0.219033

0.176074

0.111732

0.090541

0

0.006448

0.189599

8,038

182

123

44.164835

0.790451

0.040806

0

0.075188

0

0.163603

0.031938

0

1

0.037594

false

0

0.105263

0.007519

0.203008

0.067669

0

null

0

null

0

1

0

1bfcf985c108d567ad3614fe9d2baeec4a87e0f1

9,385

py

Python

city-infrastructure-platform/settings.py

City-of-Helsinki/city-infrastructure-platform

c14513a9e54405412085f1047f91ec58b263eac0

[ "CC0-1.0" ]

2

2020-11-23T22:08:58.000Z

2022-03-02T13:13:20.000Z

city-infrastructure-platform/settings.py

City-of-Helsinki/city-infrastructure-platform

c14513a9e54405412085f1047f91ec58b263eac0

[ "CC0-1.0" ]

170

2019-12-31T13:37:04.000Z

2022-03-12T14:03:35.000Z

city-infrastructure-platform/settings.py

City-of-Helsinki/city-infrastructure-platform

c14513a9e54405412085f1047f91ec58b263eac0

[ "CC0-1.0" ]

3

2020-05-08T05:58:02.000Z

2022-03-15T16:07:25.000Z

""" Django settings for city-infrastructure-platform project. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os import environ import sentry_sdk from djan...

31.599327

90

0.716356

1,089

9,385

5.909091

0.312213

0.036364

0.03108

0.017405

0.102409

0.072883

0.034965

0.030458

0.018648

0

0.00402

0.151838

9,385

296

91

31.706081

0.804397

0.11593

0

0.412491

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1

0

false

0.022321

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0

0.035714

0

null

0

null

0

1

0

1bfd7e8367e5e96a626394bb27f0b9266054e693

1,184

py

Python

test/tc/tet_tc_base_predict_multiclass.py

dumpmemory/Pytorch-NLU

864fb9acc7751fc51abd3d05d24b5a9a7eab7110

[ "Apache-2.0" ]

115

2021-08-29T04:28:40.000Z

2022-03-29T22:57:48.000Z

test/tc/tet_tc_base_predict_multiclass.py

dumpmemory/Pytorch-NLU

864fb9acc7751fc51abd3d05d24b5a9a7eab7110

[ "Apache-2.0" ]

2

2022-01-14T01:52:07.000Z

2022-03-04T11:40:10.000Z

test/tc/tet_tc_base_predict_multiclass.py

dumpmemory/Pytorch-NLU

864fb9acc7751fc51abd3d05d24b5a9a7eab7110

[ "Apache-2.0" ]

18

2021-09-23T06:41:10.000Z

2022-03-22T04:37:05.000Z

# !/usr/bin/python # -*- coding: utf-8 -*- # @time : 2021/7/25 19:30 # @author : Mo # @function: predict model, 预测模块-多类分类 # 适配linux import platform import json import sys import os path_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")) path_sys = os.path.join(path_root, "pytorch_nlu", "pyto...

32

104

0.663007

143

1,184

5.307692

0.671329

0.039526

0.02635

0.057971

0.065876

0

0.019427

0.173986

1,184

36

105

32.888889

0.756646

0.139358

0

0.086957

0

0.086957

0.368317

0.291089

0

1

0

false

0

0.217391

0

0.217391

0.173913

0

null

0

null

0

1

0

1bff51099f471eb1158044ba33a024f093e0aed7

3,079

py

Python

bin/nsa_fail/nsa_fail.py

changhoonhahn/SEDflow

4561ecfe3a38cc4c25df263d971a87e8a83f88ce

[ "MIT" ]

18

2022-03-16T03:11:04.000Z

2022-03-30T16:01:42.000Z

bin/nsa_fail/nsa_fail.py

changhoonhahn/SEDflow

4561ecfe3a38cc4c25df263d971a87e8a83f88ce

[ "MIT" ]

null

bin/nsa_fail/nsa_fail.py

changhoonhahn/SEDflow

4561ecfe3a38cc4c25df263d971a87e8a83f88ce

[ "MIT" ]

null

import os, sys import numpy as np from sedflow import obs as Obs from sedflow import train as Train from provabgs import infer as Infer from provabgs import models as Models #################################################### # input #################################################### sample = sys.argv[1] itrain...

33.107527

92

0.528743

405

3,079

3.896296

0.34321

0.045627

0.038023

0.039924

0.221166

0.200253

0.157161

0.130545

0.080482

0

0.027237

0.248782

3,079

92

93

33.467391

0.654994

0.126015

0

0.116667

0

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0.040254

0

1

0.016667

false

0

0.1

0

0.166667

0.066667

0

null

0

null

0

1

0

400075fe46c49c54066ef8f12574919b2debe75a

2,709

py

Python

studio/gs_provider.py

NunoEdgarGFlowHub/studio

42b221892a81535842ff25cbbcc434d6422a19e5

[ "Apache-2.0" ]

null

studio/gs_provider.py

NunoEdgarGFlowHub/studio

42b221892a81535842ff25cbbcc434d6422a19e5

[ "Apache-2.0" ]

null

studio/gs_provider.py

NunoEdgarGFlowHub/studio

42b221892a81535842ff25cbbcc434d6422a19e5

[ "Apache-2.0" ]

null

import json import time import re from .keyvalue_provider import KeyValueProvider from .gcloud_artifact_store import GCloudArtifactStore from .util import timeit class GSProvider(KeyValueProvider): def __init__(self, config, blocking_auth=True, verbose=10, store=None): self.config = config self.b...

31.137931

79

0.51495

279

2,709

4.817204

0.344086

0.049107

0.03869

0.02381

0.133929

0.053571

0

0.00486

0.392396

2,709

86

80

31.5

0.811665

0

0.098592

0

0.021779

0

1

0.056338

false

0.014085

0.084507

0

0.211268

0

null

0

null

0

1

0

40007ef606785b22cbc7c72b9274d6584b3f3fb5

46,830

py

Python

gslib/tests/test_ls.py

MikeJeffrey/gsutil

12f4258540ee83aee255ec1baf50e7e6faee10e2

[ "Apache-2.0" ]

null

gslib/tests/test_ls.py

MikeJeffrey/gsutil

12f4258540ee83aee255ec1baf50e7e6faee10e2

[ "Apache-2.0" ]

null

gslib/tests/test_ls.py

MikeJeffrey/gsutil

12f4258540ee83aee255ec1baf50e7e6faee10e2

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2013 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...

44.137606

103

0.688661

6,037

46,830

5.140136

0.118105

0.041185

0.034321

0.043312

0.608714

0.571461

0.5189

0.488415

0.433341

0.39757

0

0.013385

0.197523

46,830

1,060

104

44.179245

0.812347

0.177258

0

0.432895

0

0.112742

0.016274

0

0.000943

0.205263

1

0.093421

false

0

0.072368

0

0.172368

0.002632

0

null

0

null

0

1

0

4001b461738a1a675ced54e42a87a9e7681bbab2

2,217

py

Python

places/management/commands/load_places.py

aevtikheev/dvmn-yandex-afisha

7112977d6615124412b7e7ffc4abdcaa969b4078

[ "MIT" ]

null

places/management/commands/load_places.py

aevtikheev/dvmn-yandex-afisha

7112977d6615124412b7e7ffc4abdcaa969b4078

[ "MIT" ]

null

places/management/commands/load_places.py

aevtikheev/dvmn-yandex-afisha

7112977d6615124412b7e7ffc4abdcaa969b4078

[ "MIT" ]

null

import logging from urllib.parse import unquote, urlparse from pathlib import PurePosixPath import requests from requests.exceptions import ReadTimeout, ConnectionError, HTTPError from django.core.management.base import BaseCommand from django.core.files.base import ContentFile from places.models import Place, Image ...

39.589286

90

0.59991

229

2,217

5.628821

0.41048

0.048875

0.040341

0.041893

0.085337

0.046548

0

0.000646

0.30221

2,217

55

91

40.309091

0.832579

0

0.043478

0

0.143437

0.011277

0

1

0.043478

false

0

0.173913

0

0.26087

0

null

0

null

0

1

0

4002a9f7b6d3888657a9b000e3fb8c2cb6fac5dd

18,227

py

Python

gslib/utils/ls_helper.py

dickmao/gsutil

3b61bf0e6188f65f78c72c79ea3cb69e9c61da4b

[ "Apache-2.0" ]

1

2021-09-11T23:58:39.000Z

gslib/utils/ls_helper.py

shinfan/gsutil

45b5fc020bed44c6342fe70ce8b081aa222d9213

[ "Apache-2.0" ]

null

gslib/utils/ls_helper.py

shinfan/gsutil

45b5fc020bed44c6342fe70ce8b081aa222d9213

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2014 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless require...

36.971602

80

0.681242

2,226

18,227

5.352201

0.203504

0.024845

0.039282

0.045325

0.372587

0.34279

0.283028

0.231996

0.197079

0.177103

0

0.005071

0.242607

18,227

492

81

37.046748

0.85795

0.320184

0

0.285714

0

0.083132

0.003832

0

1

0.039867

false

0.006645

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0.225914

0

null

0

null

0

1

0

4004bec8c10906a7cd716dc8ff33d14546f3a2fe

1,527

py

Python

src/detector/pre_process_test_data.py

DomGonthier/PecheFantome

d031a8fe5faa2ef35f2c1dbb8241281ffda22429

[ "MIT" ]

null

src/detector/pre_process_test_data.py

DomGonthier/PecheFantome

d031a8fe5faa2ef35f2c1dbb8241281ffda22429

[ "MIT" ]

8

2020-02-19T20:03:44.000Z

2022-02-03T19:27:24.000Z

src/detector/pre_process_test_data.py

DomGonthier/PecheFantome

d031a8fe5faa2ef35f2c1dbb8241281ffda22429

[ "MIT" ]

3

2020-02-19T19:02:19.000Z

2021-12-14T14:06:25.000Z

import os from tqdm import tqdm import cv2 import numpy as np #pre process test data: path = "raw_test_data/" list_width = [] list_height = [] list_image = [] def pre_process(): print("analyze images") for Files in tqdm(os.listdir(path)): if "jpg" in Files: #print(Files) img = ...

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4004f14ddc4bfb878b0872bfe2604774deea7bcf

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py

Python

tensorflow/python/training/localhost_cluster_performance_test.py

connectthefuture/tensorflow

93812423fcd5878aa2c1d0b68dc0496980c8519d

[ "Apache-2.0" ]

101

2016-12-03T11:40:52.000Z

2017-12-23T02:02:03.000Z

tensorflow/python/training/localhost_cluster_performance_test.py

connectthefuture/tensorflow

93812423fcd5878aa2c1d0b68dc0496980c8519d

[ "Apache-2.0" ]

9

2016-12-14T03:27:46.000Z

2017-09-13T02:29:07.000Z

tensorflow/python/training/localhost_cluster_performance_test.py

connectthefuture/tensorflow

93812423fcd5878aa2c1d0b68dc0496980c8519d

[ "Apache-2.0" ]

47

2016-12-04T12:37:24.000Z

2018-01-14T18:13:07.000Z

# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...

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0

null

0

null

0

1

0

400c696eb52726be2cb58df8b7625711faea5a60

3,846

py

Python

src/utils.py

daochenzha/SimTSC

6e3200510e8e464049eab95db9540afdaf397f9c

[ "MIT" ]

23

2022-01-06T05:15:35.000Z

2022-03-28T08:08:14.000Z

src/utils.py

daochenzha/SimTSC

6e3200510e8e464049eab95db9540afdaf397f9c

[ "MIT" ]

2

2022-02-10T02:22:35.000Z

2022-03-28T16:45:17.000Z

src/utils.py

daochenzha/SimTSC

6e3200510e8e464049eab95db9540afdaf397f9c

[ "MIT" ]

5

2022-01-09T08:58:24.000Z

2022-01-19T09:52:43.000Z

import os import numpy as np import pandas as pd from sklearn.preprocessing import LabelEncoder def read_dataset_from_npy(path): """ Read dataset from .npy file """ data = np.load(path, allow_pickle=True) return data[()]['X'], data[()]['y'], data[()]['train_idx'], data[()]['test_idx'] def read_dataset...

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null

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400d71727dfe67b72a8bc6849bc10bc05b88d55b

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py

Python

mpinterfaces/mat2d/friction/analysis.py

yw-fang/MPInterfaces

ca2e43b590fdfbcf87a116c5c758e54cb7cb2d2e

[ "MIT" ]

56

2015-06-23T03:03:18.000Z

2022-02-06T16:41:34.000Z

mpinterfaces/mat2d/friction/analysis.py

yw-fang/MPInterfaces

ca2e43b590fdfbcf87a116c5c758e54cb7cb2d2e

[ "MIT" ]

21

2015-09-03T17:50:18.000Z

2022-03-01T02:26:34.000Z

mpinterfaces/mat2d/friction/analysis.py

joshgabriel/MPInterfaces

2799ae161fa94c78842092fb24ef468607afa465

[ "MIT" ]

50

2015-09-17T19:09:36.000Z

2021-11-15T19:13:20.000Z

from __future__ import print_function, division, unicode_literals import os import warnings import numpy as np from scipy import interpolate import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt from pymatgen.io.vasp.outputs import Vasprun from pymatgen.core.structure import Structure from pymatg...

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null

0

null

0

1

0

400f0a8fc2e264478738eb502734b3f76efaa361

1,380

py

Python

aiopylimit/tests/test_aiopylimit.py

zealotous/aiopylimit

0f93a06e751b97959835187a05311deaffaed9d8

[ "Apache-2.0" ]

4

2019-05-09T12:39:14.000Z

2022-01-05T20:36:06.000Z

aiopylimit/tests/test_aiopylimit.py

zealotous/aiopylimit

0f93a06e751b97959835187a05311deaffaed9d8

[ "Apache-2.0" ]

null

aiopylimit/tests/test_aiopylimit.py

zealotous/aiopylimit

0f93a06e751b97959835187a05311deaffaed9d8

[ "Apache-2.0" ]

1

2022-01-05T19:56:49.000Z

from aiopylimit import AIOPyRateLimit from aiopylimit import AIOPyRateLimitException import asynctest import asyncio class TestPyLimit(asynctest.TestCase): async def test_exception(self): limit = AIOPyRateLimit(10, 10) await self.assertAsyncRaises(AIOPyRateLimitException, ...

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0

null

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1

0

4010464a9caf650b2a6706b3ea8adb7b2458ae14

5,772

py

Python

bookworm/platform_services/_win32/tesseract_download.py

mush42/bookworm

a4bdd89363137a89a1bed1e9e072de4fb55576fd

[ "MIT" ]

18

2019-07-19T22:12:15.000Z

2020-08-26T17:45:19.000Z

bookworm/platform_services/_win32/tesseract_download.py

mush42/bookworm

a4bdd89363137a89a1bed1e9e072de4fb55576fd

[ "MIT" ]

44

2019-07-15T10:17:00.000Z

2020-07-26T11:22:53.000Z

bookworm/platform_services/_win32/tesseract_download.py

mush42/bookworm

a4bdd89363137a89a1bed1e9e072de4fb55576fd

[ "MIT" ]

9

2019-09-03T13:13:31.000Z

2020-08-25T13:55:27.000Z

# coding: utf-8 import sys import shutil import requests import wx from pathlib import Path from urllib.parse import urljoin, urlsplit from tempfile import TemporaryFile from zipfile import ZipFile from bookworm import typehints as t from bookworm import app from bookworm.http_tools import RemoteJsonResource, HttpReso...

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0

null

0

null

0

1

0

4010dc640b95065e204f3d03308d81598d5d3d22

2,448

py

Python

python/plugins/processing/algs/grass7/ext/v_proj.py

dyna-mis/Hilabeling

cb7d5d4be29624a20c8a367162dbc6fd779b2b52

[ "MIT" ]

null

python/plugins/processing/algs/grass7/ext/v_proj.py

dyna-mis/Hilabeling

cb7d5d4be29624a20c8a367162dbc6fd779b2b52

[ "MIT" ]

null

python/plugins/processing/algs/grass7/ext/v_proj.py

dyna-mis/Hilabeling

cb7d5d4be29624a20c8a367162dbc6fd779b2b52

[ "MIT" ]

1

2021-12-25T08:40:30.000Z

# -*- coding: utf-8 -*- """ *************************************************************************** v_proj.py --------- Date : November 2017 Copyright : (C) 2017 by Médéric Ribreux Email : medspx at medspx dot fr ****************************************...

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0

0.074074

0

null

0

null

0

1

0

401141d52ec8be8928fc937b5ae582051fa62e45

1,919

py

Python

examples/diode/gmsh_diode2d.py

QuantumOfMoose/devsim

22f888119059a86bfc87ba9e7d9ac2cc90dadfb6

[ "Apache-2.0" ]

null

examples/diode/gmsh_diode2d.py

QuantumOfMoose/devsim

22f888119059a86bfc87ba9e7d9ac2cc90dadfb6

[ "Apache-2.0" ]

null

examples/diode/gmsh_diode2d.py

QuantumOfMoose/devsim

22f888119059a86bfc87ba9e7d9ac2cc90dadfb6

[ "Apache-2.0" ]

null

# Copyright 2013 Devsim LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, s...

30.951613

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0

null

0

null

0

1

0

40114e46f1a2c773c276da8bbeeb5529999aac68

470

py

Python

python/astro_imaging/config.py

taranu/astro_imaging

a5a712576bd12762dc69f826703e077a859d8ec0

[ "Apache-2.0" ]

null

python/astro_imaging/config.py

taranu/astro_imaging

a5a712576bd12762dc69f826703e077a859d8ec0

[ "Apache-2.0" ]

null

python/astro_imaging/config.py

taranu/astro_imaging

a5a712576bd12762dc69f826703e077a859d8ec0

[ "Apache-2.0" ]

null

from dataclasses import dataclass import os path_base_default = os.getenv('ASTRO_IMAGING_DATA_PATH', default='./') @dataclass class Paths: base: str = path_base_default catalogs: str = None images: str = None def __post_init__(self): if self.catalogs is None: self.catalogs = os.p...

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0.5

0

null

0

null

0

1

0

4011b94aee384459cb359f2d52855f8d32eb9b50

8,018

py

Python

AT.py

MTandHJ/roboc

43e5b2f9ea520b76221a7334d34ef4aaf9b3334b

[ "MIT" ]

8

2021-06-07T11:02:38.000Z

2022-03-17T11:30:28.000Z

AT.py

MTandHJ/roboc

43e5b2f9ea520b76221a7334d34ef4aaf9b3334b

[ "MIT" ]

null

AT.py

MTandHJ/roboc

43e5b2f9ea520b76221a7334d34ef4aaf9b3334b

[ "MIT" ]

null

#!/usr/bin/env python from typing import Tuple import argparse from src.loadopts import * METHOD = "RobOC-AT" SAVE_FREQ = 5 PRINT_FREQ = 20 FMT = "{description}={scale}-{leverage}" \ "={learning_policy}-{optimizer}-{lr}" \ "={attack}-{epsilon:.4f}-{stepsize}-{steps}" \ "={batch_size}={trans...

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