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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1bcfde6f2e7e3b6d5e886265903731eb5376b4e9 | 1,889 | py | Python | test2.py | YANGYANTEST/chunyun | 1d2b341a267d867c60ccfe6592e4120248e055c4 | [
"MIT"
] | null | null | null | test2.py | YANGYANTEST/chunyun | 1d2b341a267d867c60ccfe6592e4120248e055c4 | [
"MIT"
] | null | null | null | test2.py | YANGYANTEST/chunyun | 1d2b341a267d867c60ccfe6592e4120248e055c4 | [
"MIT"
] | null | null | null |
import requests
date="2018-01-19"
fromstation="hangzhou"
tostation="shanghai"
url='https://kyfw.12306.cn/otn/leftTicket/queryZ?leftTicketDTO.train_date={}&leftTicketDTO.from_station={}BJP&leftTicketDTO.to_station={}&purpose_codes=ADULT'.format(date,fromstation,tostation)
print(url)
# r=requests.get(url)
# print(r.jso... | 62.966667 | 492 | 0.789836 | 320 | 1,889 | 4.609375 | 0.38125 | 0.021695 | 0.027119 | 0.04339 | 0.813559 | 0.813559 | 0.813559 | 0.813559 | 0.813559 | 0.813559 | 0 | 0.052231 | 0.026998 | 1,889 | 30 | 493 | 62.966667 | 0.750272 | 0.286395 | 0 | 0 | 0 | 0.25 | 0.803922 | 0.585784 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.25 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
1bd6af6ab3b81a356dcca93bb17f6fd5adf25ded | 19,582 | py | Python | autogalaxy/profiles/light_profiles/light_profiles_snr.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | null | null | null | autogalaxy/profiles/light_profiles/light_profiles_snr.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | null | null | null | autogalaxy/profiles/light_profiles/light_profiles_snr.py | caoxiaoyue/PyAutoGalaxy | ad2b4b27404f5bf0f65ba9a0cd7c3ee6570e2d05 | [
"MIT"
] | null | null | null | import numpy as np
from typing import Tuple
import autoarray as aa
from autogalaxy.profiles.light_profiles import light_profiles as lp
from scipy.optimize import root_scalar
class LightProfileSNR:
def __init__(self, signal_to_noise_ratio: float = 10.0):
"""
This light profile class s... | 39.559596 | 120 | 0.619089 | 2,382 | 19,582 | 4.91016 | 0.106213 | 0.011286 | 0.053352 | 0.070793 | 0.816518 | 0.807114 | 0.785995 | 0.785995 | 0.780181 | 0.776761 | 0 | 0.018572 | 0.309825 | 19,582 | 494 | 121 | 39.639676 | 0.846837 | 0.504085 | 0 | 0.730159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084656 | false | 0 | 0.026455 | 0 | 0.185185 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
940798838107d30e16b395ff17ec45e35c2a9806 | 20,970 | py | Python | biserici_inlemnite/app/migrations/0050_auto_20210927_1505.py | ck-tm/biserici-inlemnite | c9d12127b92f25d3ab2fcc7b4c386419fe308a4e | [
"MIT"
] | null | null | null | biserici_inlemnite/app/migrations/0050_auto_20210927_1505.py | ck-tm/biserici-inlemnite | c9d12127b92f25d3ab2fcc7b4c386419fe308a4e | [
"MIT"
] | null | null | null | biserici_inlemnite/app/migrations/0050_auto_20210927_1505.py | ck-tm/biserici-inlemnite | c9d12127b92f25d3ab2fcc7b4c386419fe308a4e | [
"MIT"
] | null | null | null | # Generated by Django 3.1.13 on 2021-09-27 12:05
from django.db import migrations, models
import django.db.models.deletion
import modelcluster.fields
import wagtail.core.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailimages', '0023_add_choose_permissions'),
('app', '0049... | 60.782609 | 178 | 0.60434 | 2,050 | 20,970 | 6.030732 | 0.066829 | 0.050231 | 0.054356 | 0.085416 | 0.912885 | 0.912885 | 0.912885 | 0.912885 | 0.912885 | 0.912885 | 0 | 0.001525 | 0.249642 | 20,970 | 344 | 179 | 60.959302 | 0.784175 | 0.002194 | 0 | 0.751479 | 1 | 0 | 0.166189 | 0.031594 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.017751 | 0 | 0.026627 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
846f5511c7cd13ebe2bbc394dec148e431e88b00 | 2,120 | py | Python | SubX/compute_subx_anom.py | Sijie-umn/SSF-MIP | 89636846cc11950c9fd851e58ea410cef72d9b90 | [
"MIT"
] | 6 | 2021-10-18T01:16:57.000Z | 2022-03-18T07:32:00.000Z | SubX/compute_subx_anom.py | Sijie-umn/SSF-MIP | 89636846cc11950c9fd851e58ea410cef72d9b90 | [
"MIT"
] | null | null | null | SubX/compute_subx_anom.py | Sijie-umn/SSF-MIP | 89636846cc11950c9fd851e58ea410cef72d9b90 | [
"MIT"
] | 2 | 2021-12-27T01:40:02.000Z | 2022-01-17T12:32:13.000Z | from netCDF4 import Dataset
import pandas as pd
import numpy as np
for model in ['NCEP', 'GMAO']:
tmp2m_week34 = pd.read_hdf('tmp2m_{}.h5'.format(model)).reset_index()
tmp2m_week34_climo = pd.read_hdf('tmp2m_{}_climo.h5'.format(model))
tmp2m_week34_climo['climo'] = tmp2m_week34_climo['tmp2m']
tmp2m_we... | 58.888889 | 155 | 0.713208 | 298 | 2,120 | 4.721477 | 0.157718 | 0.422175 | 0.181947 | 0.156361 | 0.931059 | 0.90263 | 0.867093 | 0.867093 | 0.867093 | 0.867093 | 0 | 0.102442 | 0.111321 | 2,120 | 35 | 156 | 60.571429 | 0.644374 | 0 | 0 | 0.733333 | 0 | 0 | 0.192925 | 0.025472 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
848fbcfbd996f24ac332bfad27929748b792b85b | 4,092 | py | Python | pasd/conversion.py | andreww5au/PaSD-client | 5ed7ff3e8b529c440fbfecb8c3159516285496c4 | [
"MIT"
] | null | null | null | pasd/conversion.py | andreww5au/PaSD-client | 5ed7ff3e8b529c440fbfecb8c3159516285496c4 | [
"MIT"
] | null | null | null | pasd/conversion.py | andreww5au/PaSD-client | 5ed7ff3e8b529c440fbfecb8c3159516285496c4 | [
"MIT"
] | null | null | null | """
Scaling functions that take PCB and modbus register version numbers, and convert raw
register values into real values.
"""
def scale_5v(value, reverse=False, pcb_version=0):
"""
Given a raw register value and the PCB version number, find out what scale and offset are needed, convert the raw
value to a... | 41.755102 | 119 | 0.699413 | 642 | 4,092 | 4.425234 | 0.17757 | 0.070398 | 0.056318 | 0.035199 | 0.794087 | 0.780711 | 0.76276 | 0.76276 | 0.740936 | 0.740936 | 0 | 0.042065 | 0.233138 | 4,092 | 97 | 120 | 42.185567 | 0.863289 | 0.738514 | 0 | 0.62963 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034642 | 0.010309 | 0 | 1 | 0.185185 | false | 0 | 0 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
04dea5e5dcd04a26839cc140c621f7661afacef1 | 164 | py | Python | partial_date/__init__.py | jherskovic/django_partial_date | ecd98344f6512281c425277a18a7ff91260458a6 | [
"MIT"
] | null | null | null | partial_date/__init__.py | jherskovic/django_partial_date | ecd98344f6512281c425277a18a7ff91260458a6 | [
"MIT"
] | null | null | null | partial_date/__init__.py | jherskovic/django_partial_date | ecd98344f6512281c425277a18a7ff91260458a6 | [
"MIT"
] | null | null | null | from partial_date.fields import PartialDate, PartialDateField
from partial_date.forms import PartialDateFormField
from partial_date.widget import PartialDateWidget
| 41 | 61 | 0.896341 | 19 | 164 | 7.578947 | 0.578947 | 0.229167 | 0.3125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079268 | 164 | 3 | 62 | 54.666667 | 0.953642 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
b6bfd45374c9b443edf712ab693da67e4ce46883 | 47 | py | Python | src/lib/test/decimaltestdata/__init__.py | DTenore/skulpt | 098d20acfb088d6db85535132c324b7ac2f2d212 | [
"MIT"
] | 2,671 | 2015-01-03T08:23:25.000Z | 2022-03-31T06:15:48.000Z | src/lib/test/decimaltestdata/__init__.py | wakeupmuyunhe/skulpt | a8fb11a80fb6d7c016bab5dfe3712517a350b347 | [
"MIT"
] | 972 | 2015-01-05T08:11:00.000Z | 2022-03-29T13:47:15.000Z | src/lib/test/decimaltestdata/__init__.py | wakeupmuyunhe/skulpt | a8fb11a80fb6d7c016bab5dfe3712517a350b347 | [
"MIT"
] | 845 | 2015-01-03T19:53:36.000Z | 2022-03-29T18:34:22.000Z | import _sk_fail; _sk_fail._("decimaltestdata")
| 23.5 | 46 | 0.808511 | 6 | 47 | 5.5 | 0.666667 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06383 | 47 | 1 | 47 | 47 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0.319149 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
8e0538de4a184c00078ea0df2f27fe533441604d | 3,631 | py | Python | SimTools/broken.test_ORF_eliminator.py | ShepherdCode/Soars2021 | ab4f304eaa09e52d260152397a6c53d7a05457da | [
"MIT"
] | 1 | 2021-08-16T14:49:04.000Z | 2021-08-16T14:49:04.000Z | SimTools/broken.test_ORF_eliminator.py | ShepherdCode/Soars2021 | ab4f304eaa09e52d260152397a6c53d7a05457da | [
"MIT"
] | null | null | null | SimTools/broken.test_ORF_eliminator.py | ShepherdCode/Soars2021 | ab4f304eaa09e52d260152397a6c53d7a05457da | [
"MIT"
] | null | null | null | import pytest
from ORF_eliminator import ORF_eliminator
from RNA_describe import RNA_describer
from RNA_describe import ORF_counter
from RNA_describe import ORF_RE
class Test_ORF_eliminator:
'''
Test to see if ORF_eliminator recreates the sequence
without ORF!
In rna, clearly we have a ORF of length 6.... | 30.771186 | 66 | 0.590746 | 451 | 3,631 | 4.578714 | 0.181818 | 0.037772 | 0.069734 | 0.072639 | 0.824697 | 0.801453 | 0.801453 | 0.801453 | 0.798063 | 0.798063 | 0 | 0.014356 | 0.32856 | 3,631 | 118 | 67 | 30.771186 | 0.83265 | 0.069127 | 0 | 0.857143 | 0 | 0 | 0.098857 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.071429 | false | 0 | 0.059524 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6d1acea6c55d41d01519b3de9caf78adc008581f | 75 | py | Python | almacen_api/__init__.py | xyla-io/almacen_api | 07497c64e6d1d52296a20dde106bc1af36f27114 | [
"MIT"
] | null | null | null | almacen_api/__init__.py | xyla-io/almacen_api | 07497c64e6d1d52296a20dde106bc1af36f27114 | [
"MIT"
] | null | null | null | almacen_api/__init__.py | xyla-io/almacen_api | 07497c64e6d1d52296a20dde106bc1af36f27114 | [
"MIT"
] | null | null | null | from almacen_api.api import AlmacenAPI, api
from almacen_api.app import app | 37.5 | 43 | 0.853333 | 13 | 75 | 4.769231 | 0.461538 | 0.354839 | 0.451613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106667 | 75 | 2 | 44 | 37.5 | 0.925373 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
6d446eb63bb01f5af329d4b6422c7feea4daca19 | 106,288 | py | Python | nova/tests/unit/scheduler/test_host_manager.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/scheduler/test_host_manager.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/scheduler/test_host_manager.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright (c) 2011 OpenStack Foundation'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n... | 12.224037 | 88 | 0.606117 | 16,096 | 106,288 | 3.853752 | 0.02833 | 0.178269 | 0.080606 | 0.067258 | 0.939916 | 0.921248 | 0.898759 | 0.884169 | 0.860729 | 0.839932 | 0 | 0.006387 | 0.089596 | 106,288 | 8,694 | 89 | 12.225443 | 0.634651 | 0 | 0 | 0.972395 | 0 | 0 | 0.375358 | 0.042978 | 0 | 0 | 0 | 0 | 0.013688 | 0 | null | null | 0.00069 | 0.00253 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
ed95630427f2cc0fa6115167f4083a93272c222d | 33,986 | py | Python | anno_repo/tf_record.py | annomator/annomator_package_beta_0.1 | 134d5c3b2818cf196021ed1ce61424259e80d7f6 | [
"Apache-2.0"
] | 14 | 2019-03-28T06:00:28.000Z | 2022-02-28T06:13:28.000Z | anno_repo/tf_record.py | annomator/annomator_package_beta_0.1 | 134d5c3b2818cf196021ed1ce61424259e80d7f6 | [
"Apache-2.0"
] | 16 | 2020-01-28T22:12:17.000Z | 2022-02-10T00:13:24.000Z | anno_repo/tf_record.py | annomator/annomator_package_beta_0.1 | 134d5c3b2818cf196021ed1ce61424259e80d7f6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Annomator Written by Arend Smits
# Copyright 2019 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... | 39.749708 | 128 | 0.609839 | 4,216 | 33,986 | 4.625474 | 0.075427 | 0.027076 | 0.040613 | 0.040101 | 0.903441 | 0.89939 | 0.898313 | 0.893595 | 0.886108 | 0.883903 | 0 | 0.009785 | 0.296328 | 33,986 | 854 | 129 | 39.796253 | 0.805645 | 0.109192 | 0 | 0.882716 | 0 | 0 | 0.083595 | 0.01528 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020062 | false | 0 | 0.018519 | 0.007716 | 0.061728 | 0.084877 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
edacfc2629f202848d268c38c5d0bcd93dfff92b | 87 | py | Python | loadbank/__init__.py | kanosuke/loadbank | d16e71fd60371fc034127cb9cb2b67d83d4bc4e5 | [
"MIT"
] | null | null | null | loadbank/__init__.py | kanosuke/loadbank | d16e71fd60371fc034127cb9cb2b67d83d4bc4e5 | [
"MIT"
] | null | null | null | loadbank/__init__.py | kanosuke/loadbank | d16e71fd60371fc034127cb9cb2b67d83d4bc4e5 | [
"MIT"
] | null | null | null | from .load_bank import load_bank_classifier
from .load_bank import load_bank_regressor
| 29 | 43 | 0.885057 | 14 | 87 | 5.071429 | 0.428571 | 0.450704 | 0.338028 | 0.507042 | 0.732394 | 0.732394 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091954 | 87 | 2 | 44 | 43.5 | 0.898734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 8 |
edc2cdc5eadd714bdbf227eff949ac748e60b7b1 | 8,784 | py | Python | reduction/imaging_continuum.py | keflavich/W51_VLA-16B-202 | 4c743c5d001e097f1d184a550e6d21441ca02f2d | [
"BSD-3-Clause"
] | null | null | null | reduction/imaging_continuum.py | keflavich/W51_VLA-16B-202 | 4c743c5d001e097f1d184a550e6d21441ca02f2d | [
"BSD-3-Clause"
] | null | null | null | reduction/imaging_continuum.py | keflavich/W51_VLA-16B-202 | 4c743c5d001e097f1d184a550e6d21441ca02f2d | [
"BSD-3-Clause"
] | null | null | null | # SB1 may have terrible calibration (is 2x as faint, and wasn't appropriately
# statwt'd b/c it didn't go through the pipeline)
vis = [#'16B-202.sb32532587.eb32875589.57663.07622001157.ms',
'16B-202.sb32957824.eb33105444.57748.63243916667.ms',
'16B-202.sb32957824.eb33142274.57752.64119381944.ms',
'... | 41.046729 | 157 | 0.654485 | 993 | 8,784 | 5.731118 | 0.186304 | 0.098401 | 0.084871 | 0.125461 | 0.911615 | 0.911615 | 0.911615 | 0.904059 | 0.904059 | 0.904059 | 0 | 0.069163 | 0.185223 | 8,784 | 213 | 158 | 41.239437 | 0.726003 | 0.020036 | 0 | 0.909091 | 0 | 0.005682 | 0.2448 | 0.091433 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
edcf6d2f8de4e1a2fe9730822e8b52477312820d | 1,166 | py | Python | temboo/core/Library/PagerDuty/Incidents/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/PagerDuty/Incidents/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/PagerDuty/Incidents/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | from temboo.Library.PagerDuty.Incidents.AcknowledgeIncident import AcknowledgeIncident, AcknowledgeIncidentInputSet, AcknowledgeIncidentResultSet, AcknowledgeIncidentChoreographyExecution
from temboo.Library.PagerDuty.Incidents.CountIncidents import CountIncidents, CountIncidentsInputSet, CountIncidentsResultSet, Count... | 145.75 | 187 | 0.915952 | 77 | 1,166 | 13.87013 | 0.441558 | 0.065543 | 0.111423 | 0.170412 | 0.229401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042024 | 1,166 | 7 | 188 | 166.571429 | 0.956133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
edfc46f614aeb441228b2f6603654c77fc5a3242 | 188 | py | Python | src/pipeline/main.py | domfp13/DataEngineering-DBT | 637d4675b5d6a708ae99eb31bee3a745d3e64dc1 | [
"MIT"
] | 1 | 2021-04-02T21:22:19.000Z | 2021-04-02T21:22:19.000Z | src/pipeline/main.py | domfp13/DataEngineering-DBT | 637d4675b5d6a708ae99eb31bee3a745d3e64dc1 | [
"MIT"
] | null | null | null | src/pipeline/main.py | domfp13/DataEngineering-DBT | 637d4675b5d6a708ae99eb31bee3a745d3e64dc1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Created by Luis Enrique Fuentes Plata
from __init__ import load_raw_netflix_titles
if __name__ == "__main__":
load_raw_netflix_titles('netflix_titles.csv') | 23.5 | 49 | 0.75 | 26 | 188 | 4.692308 | 0.769231 | 0.319672 | 0.229508 | 0.327869 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006211 | 0.143617 | 188 | 8 | 49 | 23.5 | 0.751553 | 0.31383 | 0 | 0 | 0 | 0 | 0.204724 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
b67440d1dd54ac31e31ee777544db0389fcf7e2d | 6,847 | py | Python | tests/unit/test_CXRGBAColor.py | docinfosci/canvasxpress-python | 532a981b04d0f50bbde1852c695117a6220f4589 | [
"MIT"
] | 4 | 2021-03-18T17:23:40.000Z | 2022-02-01T19:07:01.000Z | tests/unit/test_CXRGBAColor.py | docinfosci/canvasxpress-python | 532a981b04d0f50bbde1852c695117a6220f4589 | [
"MIT"
] | 8 | 2021-04-30T20:46:57.000Z | 2022-03-10T07:25:31.000Z | tests/unit/test_CXRGBAColor.py | docinfosci/canvasxpress-python | 532a981b04d0f50bbde1852c695117a6220f4589 | [
"MIT"
] | 1 | 2022-02-03T00:35:14.000Z | 2022-02-03T00:35:14.000Z | import json
from copy import copy, deepcopy
import pytest
from canvasxpress.config.type import CXRGBAColor, CXBool
def test_CXRGBAColor_init():
subject: CXRGBAColor = CXRGBAColor(
label="1",
value={'r': 128, 'g': 128, 'b': 128, 'a': 0.5}
)
assert subject.label == "1"
assert subject.v... | 37.010811 | 86 | 0.605959 | 993 | 6,847 | 4.091641 | 0.054381 | 0.019198 | 0.128477 | 0.129953 | 0.857741 | 0.830175 | 0.78981 | 0.769136 | 0.71745 | 0.66035 | 0 | 0.089003 | 0.205784 | 6,847 | 184 | 87 | 37.211957 | 0.658146 | 0 | 0 | 0.478873 | 0 | 0 | 0.05915 | 0.003067 | 0 | 0 | 0 | 0 | 0.471831 | 1 | 0.077465 | false | 0 | 0.028169 | 0 | 0.105634 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b6a301f255eb43199d0125d35d99576b52cd9f25 | 23,390 | py | Python | similarweb/base.py | audiencepi/SimilarWeb-Python | 4bf5e2315815cb622bd64714573f8df29339e615 | [
"MIT"
] | 4 | 2019-04-20T16:32:46.000Z | 2021-10-30T14:14:25.000Z | similarweb/base.py | audiencepi/SimilarWeb-Python | 4bf5e2315815cb622bd64714573f8df29339e615 | [
"MIT"
] | null | null | null | similarweb/base.py | audiencepi/SimilarWeb-Python | 4bf5e2315815cb622bd64714573f8df29339e615 | [
"MIT"
] | 3 | 2017-10-11T16:04:23.000Z | 2020-10-26T15:04:09.000Z | import requests
import json
from abc import ABCMeta, abstractmethod
from similarweb.exceptions import InvalidResponseException, InvalidEndpointException
from similarweb import utils
class SimilarWeb(object):
__metaclass__ = ABCMeta
def __init__(self, api_key):
"""
Parameters
---------... | 27.812128 | 116 | 0.597349 | 2,610 | 23,390 | 5.135632 | 0.062452 | 0.055506 | 0.041779 | 0.0188 | 0.867204 | 0.861907 | 0.859893 | 0.84997 | 0.817443 | 0.787526 | 0 | 0.001888 | 0.297991 | 23,390 | 840 | 117 | 27.845238 | 0.814434 | 0.166439 | 0 | 0.789954 | 0 | 0 | 0.140588 | 0.075727 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.011416 | 0.009132 | 0.347032 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fced7d210271c1e01297dccfa5abbdc59a88b29c | 8,303 | py | Python | tema5/function_aproximator/deep.py | luguzman/ia-course | 71cc0eeaa77d6c44ca85067391aeaee40a8fd14b | [
"MIT"
] | null | null | null | tema5/function_aproximator/deep.py | luguzman/ia-course | 71cc0eeaa77d6c44ca85067391aeaee40a8fd14b | [
"MIT"
] | null | null | null | tema5/function_aproximator/deep.py | luguzman/ia-course | 71cc0eeaa77d6c44ca85067391aeaee40a8fd14b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 8 11:17:49 2018
@author: juangabriel
"""
import torch
class DeepActor(torch.nn.Module):
def __init__(self, input_shape, output_shape, device = torch.device("cpu")):
"""
Una red neuronal convolucional profunda que produci... | 47.718391 | 149 | 0.580634 | 1,086 | 8,303 | 4.361878 | 0.143646 | 0.087186 | 0.05742 | 0.074309 | 0.812328 | 0.798185 | 0.781085 | 0.769897 | 0.738231 | 0.727887 | 0 | 0.035588 | 0.319764 | 8,303 | 174 | 150 | 47.718391 | 0.803116 | 0.334457 | 0 | 0.727273 | 0 | 0 | 0.002345 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080808 | false | 0 | 0.010101 | 0 | 0.171717 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bf7be829cbd97a16c845b109ffdb8002402baa5e | 234 | py | Python | utils/ascii.py | Vaansh/Zendesk-Ticket-Viewer | bb836c19432f51426dc99de9e33fd762da7f263c | [
"MIT"
] | null | null | null | utils/ascii.py | Vaansh/Zendesk-Ticket-Viewer | bb836c19432f51426dc99de9e33fd762da7f263c | [
"MIT"
] | null | null | null | utils/ascii.py | Vaansh/Zendesk-Ticket-Viewer | bb836c19432f51426dc99de9e33fd762da7f263c | [
"MIT"
] | null | null | null | import utils.helpers as helpers
def logo() -> str:
return helpers.get_string_from_text_file("utils/data/logo.txt")
def application_name() -> str:
return helpers.get_string_from_text_file("utils/data/application_name.txt")
| 23.4 | 79 | 0.764957 | 35 | 234 | 4.828571 | 0.485714 | 0.106509 | 0.189349 | 0.224852 | 0.544379 | 0.544379 | 0.544379 | 0.544379 | 0.544379 | 0.544379 | 0 | 0 | 0.119658 | 234 | 9 | 80 | 26 | 0.820388 | 0 | 0 | 0 | 0 | 0 | 0.213675 | 0.132479 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | true | 0 | 0.2 | 0.4 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
bfcec866d5b9f581254d00f38baaab07922191df | 13,007 | py | Python | deucevalere/tests/test_client_valere_validate_metadata.py | BenjamenMeyer/deuce-valere | e9ba7d96825e81e51ddd5f99f1464990969a8f07 | [
"Apache-2.0"
] | null | null | null | deucevalere/tests/test_client_valere_validate_metadata.py | BenjamenMeyer/deuce-valere | e9ba7d96825e81e51ddd5f99f1464990969a8f07 | [
"Apache-2.0"
] | null | null | null | deucevalere/tests/test_client_valere_validate_metadata.py | BenjamenMeyer/deuce-valere | e9ba7d96825e81e51ddd5f99f1464990969a8f07 | [
"Apache-2.0"
] | null | null | null | """
Deuce Valere - Tests - Client - Valere - Validate Metadata
"""
import functools
import json
import mock
from deuceclient.tests import *
import httpretty
from deucevalere.tests import *
from deucevalere.tests.client_base import TestValereClientBase
from deucevalere.tests.client_base import calculate_ref_modified
... | 42.368078 | 78 | 0.538249 | 1,189 | 13,007 | 5.603028 | 0.092515 | 0.049535 | 0.084209 | 0.063795 | 0.88547 | 0.870459 | 0.854398 | 0.854398 | 0.854398 | 0.854398 | 0 | 0.002911 | 0.392481 | 13,007 | 306 | 79 | 42.506536 | 0.840167 | 0.004459 | 0 | 0.834746 | 0 | 0 | 0.004636 | 0.003555 | 0 | 0 | 0 | 0 | 0.110169 | 1 | 0.131356 | false | 0 | 0.033898 | 0.084746 | 0.254237 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
449b1e5a31a1161c5dd68ca2464186bb19046e90 | 1,007 | py | Python | Level2/Lessons12980/gamjapark.py | StudyForCoding/ProgrammersLevel | dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25 | [
"MIT"
] | null | null | null | Level2/Lessons12980/gamjapark.py | StudyForCoding/ProgrammersLevel | dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25 | [
"MIT"
] | null | null | null | Level2/Lessons12980/gamjapark.py | StudyForCoding/ProgrammersLevel | dc957b1c02cc4383a93b8cbf3d739e6c4d88aa25 | [
"MIT"
] | 1 | 2021-04-05T07:35:59.000Z | 2021-04-05T07:35:59.000Z | # 점프와 순간이동
def solution(n):
ans = 0
while n > 0:
if n % 2 != 0:
ans+= 1
n //= 2
return ans
'''
채점을 시작합니다.
정확성 테스트
테스트 1 〉 통과 (0.00ms, 10.2MB)
테스트 2 〉 통과 (0.00ms, 10.1MB)
테스트 3 〉 통과 (0.00ms, 10.2MB)
테스트 4 〉 통과 (0.00ms, 10.2MB)
테스트 5 〉 통과 (0.01ms, 10.2MB)
테스트 6 〉 통과 (0.00ms, 10.2... | 21.425532 | 28 | 0.550149 | 263 | 1,007 | 2.212928 | 0.174905 | 0.14433 | 0.19244 | 0.19244 | 0.812715 | 0.802406 | 0.756014 | 0.103093 | 0.103093 | 0.103093 | 0 | 0.300133 | 0.252234 | 1,007 | 46 | 29 | 21.891304 | 0.435591 | 0.007944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
44fc5c74323f2aa700807512f25fbcd5d5860605 | 1,194 | py | Python | prediction_models/reg_regression.py | MrHuff/general_ds_pipeline | c11440d7e54329931d3b1a4cb5b7f1c855a208cb | [
"MIT"
] | null | null | null | prediction_models/reg_regression.py | MrHuff/general_ds_pipeline | c11440d7e54329931d3b1a4cb5b7f1c855a208cb | [
"MIT"
] | null | null | null | prediction_models/reg_regression.py | MrHuff/general_ds_pipeline | c11440d7e54329931d3b1a4cb5b7f1c855a208cb | [
"MIT"
] | null | null | null | from sklearn.linear_model import Ridge,Lasso,ElasticNet
from utils.other import calc_r2
class ridge_regression():
def __init__(self,X_tr,Y_tr):
self.X_tr = X_tr
self.Y_tr = Y_tr
def fit(self,hparams):
self.model = Ridge(alpha=hparams['alpha'])
self.model.fit(self.X_tr, self.Y_t... | 29.85 | 55 | 0.632328 | 200 | 1,194 | 3.465 | 0.145 | 0.08658 | 0.090909 | 0.069264 | 0.832612 | 0.832612 | 0.832612 | 0.832612 | 0.832612 | 0.832612 | 0 | 0.011148 | 0.248744 | 1,194 | 40 | 56 | 29.85 | 0.761427 | 0 | 0 | 0.771429 | 0 | 0 | 0.012552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.257143 | false | 0 | 0.057143 | 0 | 0.485714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
78191030b58f41a3df717bf52e30bc9f6373f718 | 2,225 | py | Python | tests/messages.py | destos/bonfo | ac6052769f873c743ca14cffbc6d348b321495b7 | [
"MIT"
] | null | null | null | tests/messages.py | destos/bonfo | ac6052769f873c743ca14cffbc6d348b321495b7 | [
"MIT"
] | 1 | 2022-03-31T01:54:53.000Z | 2022-03-31T01:54:53.000Z | tests/messages.py | destos/bonfo | ac6052769f873c743ca14cffbc6d348b321495b7 | [
"MIT"
] | null | null | null | # V1.43 messages
# PID advanced
# does not include feedforward data or vbat sag comp or thrust linearization
# pid_advanced = b"$M>2^\x00\x00\x00\x00x00\x00\x00\x00\x04\x00\x00\x00\x00\x00\x00\x00\x007\x00\xfa\x00\xd8\x0e\x00\x00\x00\x00\x01\x01\x00\n\x14H\x00H\x00H\x00\x00\x15\x1a\x00(\x14\x00\xc8\x0fd\x04\x00\xb1"
p... | 45.408163 | 231 | 0.719101 | 452 | 2,225 | 3.488938 | 0.318584 | 0.395688 | 0.473684 | 0.517438 | 0.446417 | 0.414077 | 0.414077 | 0.374128 | 0.317692 | 0.317692 | 0 | 0.278181 | 0.071011 | 2,225 | 48 | 232 | 46.354167 | 0.484761 | 0.229663 | 0 | 0 | 0 | 0.333333 | 0.773075 | 0.6408 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
7888668d739d548b5a0d66b6038aa3131ce64748 | 6,343 | py | Python | Radar.py | rickyspy/Pedestrian-Model-Evaluation | ae36807d2d9928ee69148a956febedf2b6d76ea8 | [
"MIT"
] | 3 | 2020-01-21T08:31:08.000Z | 2022-03-10T19:54:25.000Z | Radar.py | chraibi/Pedestrian-Model-Evaluation | 97f75c5e108c1fdcea7beb76e41b36c1af85f738 | [
"MIT"
] | 2 | 2020-03-06T14:02:08.000Z | 2021-06-19T05:24:36.000Z | Radar.py | chraibi/Pedestrian-Model-Evaluation | 97f75c5e108c1fdcea7beb76e41b36c1af85f738 | [
"MIT"
] | 3 | 2020-03-06T18:44:18.000Z | 2022-02-28T14:42:15.000Z | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
def RadarFigure(scoreslist, linestylelist, modelnamelist):
# 模板数据和标签
dataLenth = 8
angles = np.linspace((1 / 4) * np.pi, (2 + 1 / 4) * np.pi, dataLenth, endpoint=False)
angles = np.concatenate((angles, [a... | 45.633094 | 121 | 0.574965 | 855 | 6,343 | 4.207018 | 0.208187 | 0.073395 | 0.00973 | 0.010008 | 0.810398 | 0.788713 | 0.775368 | 0.775368 | 0.765916 | 0.755908 | 0 | 0.052541 | 0.267854 | 6,343 | 138 | 122 | 45.963768 | 0.722007 | 0.178622 | 0 | 0.822222 | 0 | 0 | 0.084062 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.033333 | 0 | 0.055556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
78a5dc13145e1e6b10ba1f289dd839344c35ef17 | 41 | py | Python | lib/IPCE/Lib/fepy/codecs_errors.py | AustralianDisabilityLimited/MultiversePlatform | 7e1aad33d48b9e47f3db2ca638cb57592336ddb7 | [
"MIT"
] | 33 | 2015-02-16T02:52:08.000Z | 2022-02-18T08:46:32.000Z | lib/IPCE/Lib/fepy/codecs_errors.py | bensku/MultiversePlatform | 7e1aad33d48b9e47f3db2ca638cb57592336ddb7 | [
"MIT"
] | 1 | 2017-09-09T18:50:23.000Z | 2020-12-29T18:13:56.000Z | lib/IPCE/Lib/fepy/codecs_errors.py | bensku/MultiversePlatform | 7e1aad33d48b9e47f3db2ca638cb57592336ddb7 | [
"MIT"
] | 31 | 2015-02-07T16:20:24.000Z | 2022-02-23T15:02:43.000Z | def install():
import _codecs_errors
| 13.666667 | 25 | 0.731707 | 5 | 41 | 5.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195122 | 41 | 2 | 26 | 20.5 | 0.848485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0.5 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
78c4cc3a0ed904c9e2e09930952f8c7091ef3a74 | 786 | py | Python | pytorch_projects/common_pytorch/io_pytorch.py | KGMSFT/integral-human-pose | d3ad4117ed71c580d2ab17987e15f9b2c3318a3b | [
"MIT"
] | 472 | 2018-07-20T04:01:04.000Z | 2022-01-20T07:28:06.000Z | pytorch_projects/common_pytorch/io_pytorch.py | KGMSFT/integral-human-pose | d3ad4117ed71c580d2ab17987e15f9b2c3318a3b | [
"MIT"
] | 44 | 2018-09-17T06:39:13.000Z | 2021-09-10T06:22:27.000Z | pytorch_projects/common_pytorch/io_pytorch.py | KGMSFT/integral-human-pose | d3ad4117ed71c580d2ab17987e15f9b2c3318a3b | [
"MIT"
] | 88 | 2018-07-22T13:10:16.000Z | 2022-03-21T11:21:38.000Z | import torch
def save_model(state, model_prefix, logger, epoch):
file_path = '{}_epoch{}.pth.tar'.format(model_prefix, str(epoch))
torch.save(state, file_path)
logger.info("Write Model into {}".format(file_path))
def save_latest_model(state, model_prefix, logger):
'''
Save a latest ckpt to automat... | 31.44 | 69 | 0.701018 | 111 | 786 | 4.738739 | 0.252252 | 0.136882 | 0.085551 | 0.119772 | 0.851711 | 0.756654 | 0.756654 | 0.756654 | 0.756654 | 0.756654 | 0 | 0 | 0.165394 | 786 | 24 | 70 | 32.75 | 0.801829 | 0.133588 | 0 | 0.384615 | 0 | 0 | 0.177196 | 0.035439 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.076923 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
78c6f423db42c15e253274b099edebd748140397 | 3,885 | py | Python | tests/chainermn_tests/iterators_tests/test_synchronized_iterator.py | zaltoprofen/chainer | 3b03f9afc80fd67f65d5e0395ef199e9506b6ee1 | [
"MIT"
] | 3,705 | 2017-06-01T07:36:12.000Z | 2022-03-30T10:46:15.000Z | tests/chainermn_tests/iterators_tests/test_synchronized_iterator.py | hitsgub/chainer | 20d4d70f5cdacc1f24f243443f5bebc2055c8f8e | [
"MIT"
] | 5,998 | 2017-06-01T06:40:17.000Z | 2022-03-08T01:42:44.000Z | tests/chainermn_tests/iterators_tests/test_synchronized_iterator.py | hitsgub/chainer | 20d4d70f5cdacc1f24f243443f5bebc2055c8f8e | [
"MIT"
] | 1,150 | 2017-06-02T03:39:46.000Z | 2022-03-29T02:29:32.000Z | import chainer
import chainer.testing
import chainermn
import numpy as np
import pytest
import unittest
class TestSynchronizedIterator(unittest.TestCase):
def setUp(self):
self.communicator = chainermn.create_communicator('naive')
if self.communicator.size < 2:
pytest.skip("This test... | 38.465347 | 77 | 0.559073 | 410 | 3,885 | 5.182927 | 0.204878 | 0.165647 | 0.042353 | 0.060235 | 0.852235 | 0.839529 | 0.839529 | 0.812235 | 0.812235 | 0.812235 | 0 | 0.016827 | 0.357529 | 3,885 | 100 | 78 | 38.85 | 0.834535 | 0.029086 | 0 | 0.740741 | 0 | 0 | 0.009552 | 0 | 0 | 0 | 0 | 0 | 0.074074 | 1 | 0.061728 | false | 0 | 0.074074 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1550e768382ac6a9d41a5d5f195c664c139f8e82 | 51,685 | py | Python | model_train.py | hxttkl/KDD_CUP_AutoGraph_AutoEnsemble | 88b766eb66e33d51ca350b22485bd9839e193ab2 | [
"MIT"
] | 9 | 2020-08-26T12:37:31.000Z | 2021-11-01T07:26:28.000Z | model_train.py | hxttkl/KDD_CUP_AutoGraph_AutoEnsemble | 88b766eb66e33d51ca350b22485bd9839e193ab2 | [
"MIT"
] | null | null | null | model_train.py | hxttkl/KDD_CUP_AutoGraph_AutoEnsemble | 88b766eb66e33d51ca350b22485bd9839e193ab2 | [
"MIT"
] | 1 | 2020-08-05T08:43:58.000Z | 2020-08-05T08:43:58.000Z | from __future__ import with_statement # Required in 2.5
import torch
import torch.nn.functional as F
from sub_models import GatedGNN
from sub_models import GatedGCN
from sub_models_di import GatedGNN_di
from sub_models_di import GatedGIN_di
from sub_models import GatedGIN
from sub_models import Lin2_APPNP
from sub_mode... | 35.352257 | 115 | 0.542382 | 6,496 | 51,685 | 4.169643 | 0.028171 | 0.034557 | 0.042236 | 0.033671 | 0.946799 | 0.939452 | 0.935797 | 0.935797 | 0.934542 | 0.927601 | 0 | 0.021498 | 0.324117 | 51,685 | 1,461 | 116 | 35.376454 | 0.753872 | 0.001316 | 0 | 0.914986 | 0 | 0 | 0.005309 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028818 | false | 0.00072 | 0.019452 | 0 | 0.111671 | 0.025937 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1578ce4d1ca504c7e7f3532f870430539d4b0517 | 1,655 | py | Python | python/src/main/python/pyalink/alink/tests/examples/operator/batch/test_mlpc.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | python/src/main/python/pyalink/alink/tests/examples/operator/batch/test_mlpc.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | python/src/main/python/pyalink/alink/tests/examples/operator/batch/test_mlpc.py | wenwei8268/Alink | c00702538c95a32403985ebd344eb6aeb81749a7 | [
"Apache-2.0"
] | null | null | null | import unittest
from pyalink.alink import *
class TestMlpc(unittest.TestCase):
def test_mlpc(self):
URL = "https://alink-test-data.oss-cn-hangzhou.aliyuncs.com/iris.csv"
SCHEMA_STR = "sepal_length double, sepal_width double, petal_length double, petal_width double, category string";
data... | 38.488372 | 121 | 0.648943 | 159 | 1,655 | 6.591195 | 0.345912 | 0.034351 | 0.022901 | 0.032443 | 0.870229 | 0.870229 | 0.870229 | 0.870229 | 0.870229 | 0.870229 | 0 | 0.008614 | 0.228399 | 1,655 | 42 | 122 | 39.404762 | 0.81206 | 0 | 0 | 0.774194 | 0 | 0.064516 | 0.281571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.064516 | 0 | 0.16129 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
15a884c56a5cce0cd33a3185a3597c408ebdec65 | 11,736 | py | Python | uniqueWord.py | Gokender/movie-genre-analyser | 7f401b18d8790c2785f900bfe49acad2549a63b6 | [
"MIT"
] | null | null | null | uniqueWord.py | Gokender/movie-genre-analyser | 7f401b18d8790c2785f900bfe49acad2549a63b6 | [
"MIT"
] | null | null | null | uniqueWord.py | Gokender/movie-genre-analyser | 7f401b18d8790c2785f900bfe49acad2549a63b6 | [
"MIT"
] | null | null | null | import codecs
def uniqueWord(list_1, list_2):
list_res = []
for it in list_1:
try:
#print(it)
if it not in list_2:
list_res.append(it)
except Exception as e:
continue
return list_res
movie_genres = ['drama','action','comedy','sci-f... | 29.049505 | 127 | 0.746847 | 1,569 | 11,736 | 5.277884 | 0.039516 | 0.32001 | 0.318802 | 0.382562 | 0.868373 | 0.796884 | 0.796884 | 0.79616 | 0.793865 | 0.793865 | 0 | 0.002973 | 0.140167 | 11,736 | 403 | 128 | 29.121588 | 0.817659 | 0.007157 | 0 | 0.685714 | 0 | 0 | 0.067102 | 0.026033 | 0 | 0 | 0 | 0 | 0 | 1 | 0.003571 | false | 0 | 0.003571 | 0 | 0.010714 | 0.046429 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
ecd10b9869045896f487b3579ab5cf7f42a7361d | 28,879 | py | Python | sdk/python/pulumi_azure/core/resource_group_cost_management_export.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 109 | 2018-06-18T00:19:44.000Z | 2022-02-20T05:32:57.000Z | sdk/python/pulumi_azure/core/resource_group_cost_management_export.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 663 | 2018-06-18T21:08:46.000Z | 2022-03-31T20:10:11.000Z | sdk/python/pulumi_azure/core/resource_group_cost_management_export.py | henriktao/pulumi-azure | f1cbcf100b42b916da36d8fe28be3a159abaf022 | [
"ECL-2.0",
"Apache-2.0"
] | 41 | 2018-07-19T22:37:38.000Z | 2022-03-14T10:56:26.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 51.847397 | 239 | 0.700509 | 3,107 | 28,879 | 6.216608 | 0.074026 | 0.061507 | 0.048563 | 0.053068 | 0.875641 | 0.860678 | 0.851411 | 0.836293 | 0.823557 | 0.804504 | 0 | 0.00548 | 0.210187 | 28,879 | 556 | 240 | 51.940647 | 0.841335 | 0.350878 | 0 | 0.656566 | 1 | 0 | 0.199861 | 0.139862 | 0 | 0 | 0 | 0 | 0 | 1 | 0.158249 | false | 0.003367 | 0.023569 | 0 | 0.276094 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bf0c283fe3e98b1923fe91da088f24e4e8e980e7 | 433 | py | Python | Codewars/8kyu/logical-calculator/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codewars/8kyu/logical-calculator/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codewars/8kyu/logical-calculator/Python/test.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python - 2.7.6
Test.describe('Basic tests')
Test.assert_equals(logical_calc([True, False], 'AND'), False)
Test.assert_equals(logical_calc([True, False], 'OR'), True)
Test.assert_equals(logical_calc([True, False], 'XOR'), True)
Test.assert_equals(logical_calc([True, True, False], 'AND'), False)
Test.assert_equals(lo... | 39.363636 | 67 | 0.725173 | 65 | 433 | 4.646154 | 0.261538 | 0.198676 | 0.317881 | 0.456954 | 0.860927 | 0.860927 | 0.860927 | 0.754967 | 0.754967 | 0.609272 | 0 | 0.007538 | 0.080831 | 433 | 10 | 68 | 43.3 | 0.751256 | 0.032333 | 0 | 0 | 0 | 0 | 0.064748 | 0 | 0 | 0 | 0 | 0 | 0.857143 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
1796a7ff3c77ed1c764d63ec643fad5d8a60746a | 8,199 | py | Python | iclientpy/test/rest/cmd/wxreceiver/test_WXHookReceiver.py | SuperMap/iClientPython | 5e741c1efda9b12d321909428bd5c95e22482ea7 | [
"Apache-2.0"
] | 28 | 2018-04-19T07:11:34.000Z | 2022-02-24T08:31:08.000Z | iclientpy/test/rest/cmd/wxreceiver/test_WXHookReceiver.py | SuperMap/iClientPython | 5e741c1efda9b12d321909428bd5c95e22482ea7 | [
"Apache-2.0"
] | 3 | 2019-05-06T07:58:45.000Z | 2020-11-18T21:16:38.000Z | iclientpy/test/rest/cmd/wxreceiver/test_WXHookReceiver.py | SuperMap/iClientPython | 5e741c1efda9b12d321909428bd5c95e22482ea7 | [
"Apache-2.0"
] | 8 | 2018-06-14T02:29:53.000Z | 2020-11-03T01:36:35.000Z | from unittest import TestCase
from unittest.mock import MagicMock
from iclientpy.rest.cmd.wxreceiver.server import WXHookReceiver
class WXHookReceiverTest(TestCase):
def setUp(self):
self._msg_fun = MagicMock()
self._crypt = MagicMock()
class Receiver(WXHookReceiver):
... | 75.220183 | 589 | 0.746189 | 751 | 8,199 | 7.94008 | 0.154461 | 0.080496 | 0.03354 | 0.024652 | 0.871877 | 0.865504 | 0.862318 | 0.856113 | 0.856113 | 0.856113 | 0 | 0.102499 | 0.131357 | 8,199 | 108 | 590 | 75.916667 | 0.734766 | 0.014148 | 0 | 0.533333 | 0 | 0.077778 | 0.508162 | 0.491462 | 0 | 0 | 0 | 0 | 0.088889 | 1 | 0.133333 | false | 0.011111 | 0.033333 | 0.033333 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bd5d154f1dd2b5140de7f73dc030d0dc3e275134 | 18,574 | py | Python | tests/app/v2_company_companyinfolist_test.py | BoostryJP/ibet-Wallet-API | da7323a298bdb746e93da8a9b57a5da1dd6f14ac | [
"Apache-2.0"
] | 6 | 2021-06-16T02:06:21.000Z | 2021-09-20T09:50:56.000Z | tests/app/v2_company_companyinfolist_test.py | BoostryJP/ibet-Wallet-API | da7323a298bdb746e93da8a9b57a5da1dd6f14ac | [
"Apache-2.0"
] | 68 | 2021-04-06T03:44:54.000Z | 2022-03-29T02:00:02.000Z | tests/app/v2_company_companyinfolist_test.py | BoostryJP/ibet-Wallet-API | da7323a298bdb746e93da8a9b57a5da1dd6f14ac | [
"Apache-2.0"
] | null | null | null | """
Copyright BOOSTRY 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 in writing,
software distr... | 88.028436 | 1,905 | 0.820071 | 1,185 | 18,574 | 12.713924 | 0.227848 | 0.009292 | 0.008363 | 0.00916 | 0.875481 | 0.86818 | 0.862206 | 0.862206 | 0.859419 | 0.859419 | 0 | 0.099137 | 0.107731 | 18,574 | 210 | 1,906 | 88.447619 | 0.809932 | 0.048778 | 0 | 0.544218 | 0 | 0.040816 | 0.691811 | 0.62556 | 0 | 1 | 0 | 0 | 0.061224 | 1 | 0.040816 | false | 0 | 0.068027 | 0 | 0.136054 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
bd63536a97a8490de9d6c0a13697247da486a27c | 58,841 | py | Python | unittests/test_units.py | YangyangFu/MPCPy | c9980cbfe7b5ea21b003c2c0bab800099dccf3f1 | [
"BSD-3-Clause-LBNL"
] | 96 | 2017-03-31T09:59:44.000Z | 2022-03-23T18:39:37.000Z | unittests/test_units.py | kuzha/MPCPy | 9f78aa68236f87d39a50de54978c5064f9cc13c6 | [
"BSD-3-Clause-LBNL"
] | 150 | 2017-03-03T17:28:34.000Z | 2021-02-24T20:03:24.000Z | unittests/test_units.py | kuzha/MPCPy | 9f78aa68236f87d39a50de54978c5064f9cc13c6 | [
"BSD-3-Clause-LBNL"
] | 32 | 2017-04-24T18:22:40.000Z | 2022-03-29T17:51:20.000Z | # -*- coding: utf-8 -*-
"""
This module contains the classes for testing the units of mpcpy.
"""
import unittest
from mpcpy import variables
from mpcpy import units
#%% Temperature tests
class Temperature(unittest.TestCase):
def setUp(self):
self.quantity_name = 'Temperature';
def test_K(self... | 49.157059 | 79 | 0.624055 | 7,562 | 58,841 | 4.710394 | 0.026977 | 0.097698 | 0.133914 | 0.103762 | 0.924481 | 0.921561 | 0.919876 | 0.919876 | 0.857496 | 0.805362 | 0 | 0.024963 | 0.268826 | 58,841 | 1,197 | 80 | 49.157059 | 0.802966 | 0.251814 | 0 | 0.455587 | 0 | 0 | 0.022731 | 0.00163 | 0 | 0 | 0 | 0 | 0.623209 | 1 | 0.164756 | false | 0 | 0.004298 | 0 | 0.209169 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bd67b74baae72d17c5b4ea4b2b8ccaf285a221ba | 113 | py | Python | config.py | Andrew-Pei/mtcnn | abb5d1e60ea442ab20bfbd2c1df7b7d5488e1d46 | [
"MIT"
] | null | null | null | config.py | Andrew-Pei/mtcnn | abb5d1e60ea442ab20bfbd2c1df7b7d5488e1d46 | [
"MIT"
] | null | null | null | config.py | Andrew-Pei/mtcnn | abb5d1e60ea442ab20bfbd2c1df7b7d5488e1d46 | [
"MIT"
] | null | null | null | str0="2"
str1="/data1/pbw_deepfake/test/extract_face_jpg/"+str0
str2="/data1/pbw_deepfake/test/"+str0+"/**/*_jpg" | 37.666667 | 54 | 0.734513 | 18 | 113 | 4.333333 | 0.611111 | 0.205128 | 0.410256 | 0.512821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072072 | 0.017699 | 113 | 3 | 55 | 37.666667 | 0.630631 | 0 | 0 | 0 | 0 | 0 | 0.675439 | 0.587719 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
da06bec9746e2406bb9f2492871cdd080cc6206d | 25,945 | py | Python | dfirtrack_config/tests/assignment/test_assignment_toggle.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | null | null | null | dfirtrack_config/tests/assignment/test_assignment_toggle.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | 6 | 2022-03-16T12:30:51.000Z | 2022-03-28T01:34:45.000Z | dfirtrack_config/tests/assignment/test_assignment_toggle.py | thomas-kropeit/dfirtrack | b1e0e659af7bc8085cfe2d269ddc651f9f4ba585 | [
"Apache-2.0"
] | null | null | null | import urllib.parse
from django.contrib.auth.models import User
from django.test import TestCase
from dfirtrack_config.models import UserConfigModel
def set_user_config_toogle_false(test_user):
"""set toggle flags in user config to false"""
# get config
user_config = UserConfigModel.objects.get(user_co... | 37.277299 | 88 | 0.659125 | 2,767 | 25,945 | 5.916516 | 0.027467 | 0.058029 | 0.065848 | 0.062855 | 0.982408 | 0.979048 | 0.975383 | 0.930426 | 0.910207 | 0.900678 | 0 | 0.007954 | 0.24895 | 25,945 | 695 | 89 | 37.330935 | 0.832187 | 0.147504 | 0 | 0.493298 | 0 | 0 | 0.183718 | 0.132818 | 0 | 0 | 0 | 0 | 0.131367 | 1 | 0.101877 | false | 0.077748 | 0.010724 | 0 | 0.120643 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
da6c9d86f6ad200921b70c3091f8099a5f0b70de | 45,950 | py | Python | awswrangler/s3/_write.py | zacharycarter/aws-data-wrangler | 7bae813a5a72602e441c79555b038d2db34f5c22 | [
"Apache-2.0"
] | null | null | null | awswrangler/s3/_write.py | zacharycarter/aws-data-wrangler | 7bae813a5a72602e441c79555b038d2db34f5c22 | [
"Apache-2.0"
] | null | null | null | awswrangler/s3/_write.py | zacharycarter/aws-data-wrangler | 7bae813a5a72602e441c79555b038d2db34f5c22 | [
"Apache-2.0"
] | null | null | null | """Amazon S3 Write Module (PRIVATE)."""
import csv
import logging
import uuid
from typing import Dict, List, Optional, Tuple, Union
import boto3 # type: ignore
import pandas as pd # type: ignore
import pyarrow as pa # type: ignore
import pyarrow.lib # type: ignore
import pyarrow.parquet # type: ignore
import s3f... | 41.321942 | 119 | 0.626899 | 5,578 | 45,950 | 5.040337 | 0.072427 | 0.01942 | 0.022408 | 0.030731 | 0.852036 | 0.829984 | 0.818922 | 0.812662 | 0.801031 | 0.790254 | 0 | 0.010388 | 0.254211 | 45,950 | 1,111 | 120 | 41.359136 | 0.810032 | 0.472252 | 0 | 0.719844 | 0 | 0.001946 | 0.084529 | 0.011012 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015564 | false | 0.01751 | 0.025292 | 0 | 0.054475 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
16f1c6cc1e118e4a3fbf7a0d16571e61a1c4a39e | 90 | py | Python | pymicrofluidics/pymicrofluidics/__init__.py | julou/PyMicrofluidics | 0934861e49b7abc85d965ebf7d6b1d2bec050343 | [
"MIT"
] | null | null | null | pymicrofluidics/pymicrofluidics/__init__.py | julou/PyMicrofluidics | 0934861e49b7abc85d965ebf7d6b1d2bec050343 | [
"MIT"
] | 3 | 2018-03-22T10:44:48.000Z | 2021-06-10T14:11:01.000Z | pymicrofluidics/pymicrofluidics/__init__.py | julou/PyMicrofluidics | 0934861e49b7abc85d965ebf7d6b1d2bec050343 | [
"MIT"
] | 2 | 2018-03-22T10:36:57.000Z | 2018-03-22T10:39:54.000Z | #import pymicrofluidics.microfluidics_class
#import pymicrofluidics.microfluidics_plotting | 45 | 46 | 0.922222 | 8 | 90 | 10.125 | 0.625 | 0.518519 | 0.839506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 90 | 2 | 46 | 45 | 0.931034 | 0.966667 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 1 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e50040262f66f9ad4d170d2fce353c033bd67032 | 9,021 | py | Python | tests/test_triggers.py | syseleven/rebootmgr | 681a98efbc2472ef6587cacf8eb813a711b750e2 | [
"MIT"
] | 11 | 2018-11-14T11:14:59.000Z | 2021-08-03T07:54:24.000Z | tests/test_triggers.py | syseleven/rebootmgr | 681a98efbc2472ef6587cacf8eb813a711b750e2 | [
"MIT"
] | 9 | 2018-11-14T10:20:57.000Z | 2020-03-17T12:38:25.000Z | tests/test_triggers.py | syseleven/rebootmgr | 681a98efbc2472ef6587cacf8eb813a711b750e2 | [
"MIT"
] | 3 | 2019-02-07T11:34:38.000Z | 2019-02-08T13:02:00.000Z | from rebootmgr.main import cli as rebootmgr
import datetime
import pytest
import socket
def test_reboot_not_required(run_cli, forward_consul_port, default_config, reboot_task):
result = run_cli(rebootmgr, ["-v", "--check-triggers"])
assert "No reboot necessary" in result.output
assert result.exit_code =... | 36.820408 | 124 | 0.703026 | 1,219 | 9,021 | 4.889253 | 0.102543 | 0.028188 | 0.074161 | 0.044631 | 0.906711 | 0.881544 | 0.868624 | 0.84396 | 0.824161 | 0.784396 | 0 | 0.013294 | 0.166168 | 9,021 | 244 | 125 | 36.971311 | 0.779048 | 0.034697 | 0 | 0.748503 | 0 | 0 | 0.15054 | 0.049759 | 0 | 0 | 0 | 0.004098 | 0.299401 | 1 | 0.11976 | false | 0 | 0.023952 | 0.005988 | 0.149701 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e538ddaf756249b14b6607b838711008c6ff807d | 16,389 | py | Python | lang/python/github/com/metaprov/modelaapi/services/prediction/v1/prediction_pb2_grpc.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | 5 | 2022-02-18T03:40:10.000Z | 2022-03-01T16:11:24.000Z | lang/python/github/com/metaprov/modelaapi/services/prediction/v1/prediction_pb2_grpc.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | 1 | 2022-01-07T19:59:25.000Z | 2022-02-04T01:21:14.000Z | lang/python/github/com/metaprov/modelaapi/services/prediction/v1/prediction_pb2_grpc.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | 1 | 2022-03-25T10:21:43.000Z | 2022-03-25T10:21:43.000Z | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from github.com.metaprov.modelaapi.services.prediction.v1 import prediction_pb2 as github_dot_com_dot_metaprov_dot_modelaapi_dot_services_dot_prediction_dot_v1_d... | 61.845283 | 182 | 0.748917 | 1,673 | 16,389 | 6.829647 | 0.069337 | 0.097847 | 0.04516 | 0.05645 | 0.904691 | 0.904691 | 0.904691 | 0.877385 | 0.867145 | 0.841589 | 0 | 0.007778 | 0.191958 | 16,389 | 264 | 183 | 62.079545 | 0.855018 | 0.048813 | 0 | 0.504505 | 1 | 0 | 0.107535 | 0.081022 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072072 | false | 0 | 0.009009 | 0.031532 | 0.126126 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e55947574844c8550134507453cdc8789a21b882 | 4,819 | py | Python | authors/apps/favorites/tests/test_favorites.py | deferral/ah-django | b80ad485339dbb02b74d9b2093543bf8173d51de | [
"BSD-3-Clause"
] | 1 | 2019-04-12T08:34:10.000Z | 2019-04-12T08:34:10.000Z | authors/apps/favorites/tests/test_favorites.py | deferral/ah-django | b80ad485339dbb02b74d9b2093543bf8173d51de | [
"BSD-3-Clause"
] | 18 | 2019-03-26T02:17:38.000Z | 2019-04-26T08:57:47.000Z | authors/apps/favorites/tests/test_favorites.py | deferral/ah-django | b80ad485339dbb02b74d9b2093543bf8173d51de | [
"BSD-3-Clause"
] | 1 | 2019-11-22T11:52:32.000Z | 2019-11-22T11:52:32.000Z | from rest_framework import status
from .base_test import FavoriteTestBase, generate_slug_url
class FavoritesTestCase(FavoriteTestBase):
"""
Test Class containing tests for Favorite Module
"""
def test_favorite_own_article(self):
"""
User should be able to favorite his/her article
... | 36.78626 | 75 | 0.653248 | 561 | 4,819 | 5.379679 | 0.142603 | 0.062956 | 0.059642 | 0.069251 | 0.870444 | 0.870444 | 0.825712 | 0.817429 | 0.758118 | 0.752816 | 0 | 0.005909 | 0.262503 | 4,819 | 130 | 76 | 37.069231 | 0.843275 | 0.100228 | 0 | 0.753086 | 1 | 0 | 0.067231 | 0 | 0 | 0 | 0 | 0 | 0.17284 | 1 | 0.08642 | false | 0 | 0.024691 | 0 | 0.123457 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
e5b0f2c372fdf8d1b4a5c7d3bc39f579868c7624 | 137 | py | Python | src/loralay/modeling/led_hetformer/__init__.py | laudao/loralay-modeling | a7c89717bac4f0ef9ed820544c4d27e2fe2e4228 | [
"Apache-2.0"
] | null | null | null | src/loralay/modeling/led_hetformer/__init__.py | laudao/loralay-modeling | a7c89717bac4f0ef9ed820544c4d27e2fe2e4228 | [
"Apache-2.0"
] | null | null | null | src/loralay/modeling/led_hetformer/__init__.py | laudao/loralay-modeling | a7c89717bac4f0ef9ed820544c4d27e2fe2e4228 | [
"Apache-2.0"
] | null | null | null | from .modeling_led_hetformer import LEDHeterformerForConditionalGeneration
from .configuration_led_hetformer import LEDHeterformerConfig | 68.5 | 75 | 0.927007 | 12 | 137 | 10.25 | 0.666667 | 0.195122 | 0.292683 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.058394 | 137 | 2 | 76 | 68.5 | 0.953488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e5ca31afa0b3a7223a177bbc5c79b36c407bf8e6 | 79 | py | Python | src/generator/utils.py | altostratous/ancc | 583bb1fd0aa6f0ef649b89909b623ae291ebc6f6 | [
"MIT"
] | null | null | null | src/generator/utils.py | altostratous/ancc | 583bb1fd0aa6f0ef649b89909b623ae291ebc6f6 | [
"MIT"
] | null | null | null | src/generator/utils.py | altostratous/ancc | 583bb1fd0aa6f0ef649b89909b623ae291ebc6f6 | [
"MIT"
] | null | null | null | def indval(x):
return '@' + str(x)
def immval(x):
return '#' + str(x) | 13.166667 | 23 | 0.506329 | 12 | 79 | 3.333333 | 0.5 | 0.35 | 0.5 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.265823 | 79 | 6 | 24 | 13.166667 | 0.689655 | 0 | 0 | 0 | 0 | 0 | 0.025 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 |
e5df56c53e98dfbcd92cde7e56e330f0e0a22616 | 355 | py | Python | tests/internal/instance_type/test_instance_type_r5a_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | null | null | null | tests/internal/instance_type/test_instance_type_r5a_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | null | null | null | tests/internal/instance_type/test_instance_type_r5a_auto.py | frolovv/aws.ec2.compare | 582805823492f833d65c0441c4a14dce697c12aa | [
"Apache-2.0"
] | 1 | 2021-12-15T11:58:22.000Z | 2021-12-15T11:58:22.000Z |
# Testing module instance_type.r5a
import pytest
import ec2_compare.internal.instance_type.r5a
def test_get_internal_data_instance_type_r5a_get_instances_list():
assert len(ec2_compare.internal.instance_type.r5a.get_instances_list()) > 0
def test_get_internal_data_instance_type_r5a_get():
assert len(ec2_compare.i... | 35.5 | 77 | 0.850704 | 56 | 355 | 4.946429 | 0.339286 | 0.259928 | 0.32491 | 0.259928 | 0.826715 | 0.826715 | 0.613718 | 0.613718 | 0.613718 | 0 | 0 | 0.033435 | 0.073239 | 355 | 9 | 78 | 39.444444 | 0.808511 | 0.090141 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 10 |
e5e1ccdf8c4a82c52966d10e46ad0354723fcbb9 | 24,146 | py | Python | tests/test_compute_response.py | jborean93/ntlm_auth | 417db8b6fb0f9b5f86f314e257b8a4893f74c057 | [
"MIT"
] | 46 | 2016-12-23T03:35:14.000Z | 2022-02-18T20:48:25.000Z | tests/test_compute_response.py | jborean93/ntlm_auth | 417db8b6fb0f9b5f86f314e257b8a4893f74c057 | [
"MIT"
] | 29 | 2016-08-28T22:58:13.000Z | 2021-05-05T19:20:32.000Z | tests/test_compute_response.py | jborean93/ntlm_auth | 417db8b6fb0f9b5f86f314e257b8a4893f74c057 | [
"MIT"
] | 21 | 2016-12-20T14:23:08.000Z | 2020-10-02T19:06:56.000Z | import struct
import time
from ntlm_auth.compute_response import ComputeResponse, get_windows_timestamp
from ntlm_auth.constants import AvId, AvFlags
from ntlm_auth.messages import ChallengeMessage, TargetInfo
class TestGeneric(object):
def test_get_timestamp_format(self):
actual1 = struct.unpack("<q", ... | 47.813861 | 79 | 0.550526 | 3,444 | 24,146 | 3.716899 | 0.082753 | 0.14952 | 0.165221 | 0.141551 | 0.906726 | 0.901101 | 0.875244 | 0.864698 | 0.850402 | 0.850402 | 0 | 0.197077 | 0.308623 | 24,146 | 504 | 80 | 47.90873 | 0.569726 | 0.017353 | 0 | 0.819861 | 0 | 0.027714 | 0.359182 | 0.33599 | 0 | 0 | 0 | 0 | 0.071594 | 1 | 0.04157 | false | 0.036952 | 0.011547 | 0 | 0.060046 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f92d5aa972d7c967f4f62f458c51a7d1eaf220fb | 206 | py | Python | app/views/alekseyl/__init__.py | iu5team/rms | 179bba96fd72eacb89e01f8d75d9ab6a4e4a875a | [
"MIT"
] | null | null | null | app/views/alekseyl/__init__.py | iu5team/rms | 179bba96fd72eacb89e01f8d75d9ab6a4e4a875a | [
"MIT"
] | 38 | 2016-04-06T10:29:45.000Z | 2016-05-18T19:50:20.000Z | app/views/alekseyl/__init__.py | iu5team/rms | 179bba96fd72eacb89e01f8d75d9ab6a4e4a875a | [
"MIT"
] | null | null | null | from app.views.alekseyl.active_record import employee
from app.views.alekseyl.active_record import task
from app.views.alekseyl.domain_model import employee
from app.views.alekseyl.domain_model import task | 41.2 | 53 | 0.864078 | 32 | 206 | 5.4375 | 0.34375 | 0.16092 | 0.275862 | 0.45977 | 0.954023 | 0.954023 | 0.862069 | 0 | 0 | 0 | 0 | 0 | 0.07767 | 206 | 5 | 54 | 41.2 | 0.915789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 9 |
00b708554d2ad26732bfbcc4263af430ce672da6 | 151 | py | Python | legoformer/data/__init__.py | Sirish07/LegoFormer | c2173cd107a8e29ed45b086d3956d240fc394d6c | [
"MIT"
] | 25 | 2021-07-04T06:28:59.000Z | 2022-03-12T22:39:06.000Z | legoformer/data/__init__.py | Sirish07/LegoFormer | c2173cd107a8e29ed45b086d3956d240fc394d6c | [
"MIT"
] | 2 | 2021-08-25T09:17:44.000Z | 2021-09-23T11:41:41.000Z | legoformer/data/__init__.py | Sirish07/LegoFormer | c2173cd107a8e29ed45b086d3956d240fc394d6c | [
"MIT"
] | 2 | 2021-07-09T00:37:24.000Z | 2021-08-31T18:04:28.000Z | from legoformer.data.transforms import *
from legoformer.data.dataset import ShapeNetDataset
from legoformer.data.datamodule import ShapeNetDataModule
| 37.75 | 57 | 0.874172 | 17 | 151 | 7.764706 | 0.529412 | 0.318182 | 0.409091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07947 | 151 | 3 | 58 | 50.333333 | 0.94964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
dacfb1d13e066d3ce0ac55ecde5783ad53e42de9 | 64,432 | py | Python | axi_noc/tb16x4/counts.py | vhnatyk/vlsistuff | 0981097bd19a0c482728dcc5048a3615ac9a9a90 | [
"MIT"
] | 26 | 2018-03-17T18:14:22.000Z | 2022-03-14T07:23:13.000Z | axi_noc/tb16x4/counts.py | psumesh/vlsistuff | 1fe64b093d0581d99c7d826b74c31b8655fa0b31 | [
"MIT"
] | 1 | 2019-10-16T10:31:11.000Z | 2019-10-17T04:14:53.000Z | axi_noc/tb16x4/counts.py | psumesh/vlsistuff | 1fe64b093d0581d99c7d826b74c31b8655fa0b31 | [
"MIT"
] | 7 | 2018-07-16T07:51:25.000Z | 2022-02-15T14:22:54.000Z |
import logs
import veri
def monitorStuff(Net):
Val = logs.peek(Net)
if Val!=0:
logs.log_error('PANIC activated on %s %s'%(Net,veri.peek(Net)))
return 1
return 0
def monitorStuffs():
panics=0
counts += monitorStuff("tb.dut.merger0.axi_rd_4_merger.a_rcount")
counts += monitorStu... | 106.499174 | 165 | 0.773187 | 12,339 | 64,432 | 3.644704 | 0.005187 | 0.098061 | 0.076047 | 0.136085 | 0.996086 | 0.996086 | 0.996086 | 0.996086 | 0.996086 | 0.99602 | 0 | 0.02978 | 0.078594 | 64,432 | 604 | 166 | 106.675497 | 0.727732 | 0 | 0 | 0 | 0 | 0 | 0.681287 | 0.644271 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005 | false | 0 | 0.003333 | 0 | 0.011667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
dae3fd8a9ab67d65cd280a0da07c6d141901db2d | 158 | py | Python | models/user_models.py | htrismicristo/cajero_api | 160781d4569eac2ccc88647452560e395ef69d0d | [
"MIT"
] | null | null | null | models/user_models.py | htrismicristo/cajero_api | 160781d4569eac2ccc88647452560e395ef69d0d | [
"MIT"
] | null | null | null | models/user_models.py | htrismicristo/cajero_api | 160781d4569eac2ccc88647452560e395ef69d0d | [
"MIT"
] | null | null | null | from pydantic import BaseModel
class UserIn(BaseModel):
username: str
password: str
class UserOut(BaseModel):
username: str
password: str
| 13.166667 | 30 | 0.708861 | 18 | 158 | 6.222222 | 0.555556 | 0.303571 | 0.357143 | 0.5 | 0.553571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.227848 | 158 | 11 | 31 | 14.363636 | 0.918033 | 0 | 0 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.285714 | 0.142857 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
dae53036f10da4b837c5d68205204a21f8380d43 | 425 | py | Python | enigmatoolbox/permutation_testing/__init__.py | saratheriver/ENIGMA | c26483bfeb9e035b7ab5f56998d17155aece584f | [
"BSD-3-Clause"
] | 49 | 2020-08-31T15:52:37.000Z | 2022-01-25T12:24:56.000Z | enigmatoolbox/permutation_testing/__init__.py | saratheriver/ENIGMA | c26483bfeb9e035b7ab5f56998d17155aece584f | [
"BSD-3-Clause"
] | 7 | 2020-10-23T09:54:31.000Z | 2022-03-26T03:50:56.000Z | enigmatoolbox/permutation_testing/__init__.py | MICA-MNI/ENIGMA | db879bb21f680bb39c2aa4bd34a9f44d1b1090cd | [
"BSD-3-Clause"
] | 9 | 2020-09-21T11:57:06.000Z | 2022-03-08T18:09:58.000Z | from .permutation_testing import (spin_test, shuf_test, centroid_extraction_sphere,
rotate_parcellation, perm_sphere_p, get_subcortical_distance,
MoranRandomization)
__all__ = ['spin_test', 'shuf_test',
'centroid_extraction_sphere',
... | 47.222222 | 95 | 0.64 | 37 | 425 | 6.72973 | 0.513514 | 0.064257 | 0.096386 | 0.128514 | 0.875502 | 0.875502 | 0.875502 | 0.875502 | 0.875502 | 0.875502 | 0 | 0 | 0.284706 | 425 | 8 | 96 | 53.125 | 0.819079 | 0 | 0 | 0 | 0 | 0 | 0.277647 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
dae54b3691cd10a8e2b3b4665e747d2bebb53269 | 203 | py | Python | data/Translation testing 2022-3-16/c2p-helloworld/c++helloworldtranslationwithoutincludes.py | LANCHERBA/CodeGen | fdb8717658945b81af148787c8303a97a00c615c | [
"MIT"
] | null | null | null | data/Translation testing 2022-3-16/c2p-helloworld/c++helloworldtranslationwithoutincludes.py | LANCHERBA/CodeGen | fdb8717658945b81af148787c8303a97a00c615c | [
"MIT"
] | null | null | null | data/Translation testing 2022-3-16/c2p-helloworld/c++helloworldtranslationwithoutincludes.py | LANCHERBA/CodeGen | fdb8717658945b81af148787c8303a97a00c615c | [
"MIT"
] | null | null | null | def test_sympy__physics__quantum__cartesian__PxKet():
from sympy.physics.quantum.cartesian import PxKet
assert _test_args(PxKet(x, y))
# Hello world to a function related to quantum physics...
| 29 | 57 | 0.783251 | 29 | 203 | 5.103448 | 0.655172 | 0.162162 | 0.256757 | 0.378378 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 203 | 6 | 58 | 33.833333 | 0.850575 | 0.270936 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
daf3408915818a2ada6ac54bc3405a6200b680b6 | 9,157 | py | Python | UNR21-bootcamp/the-cat/decode.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:00:41.000Z | 2022-03-27T06:00:41.000Z | UNR21-bootcamp/the-cat/decode.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | null | null | null | UNR21-bootcamp/the-cat/decode.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:01:42.000Z | 2022-03-27T06:01:42.000Z | a = bytes.fromhex("2d2d35386632366631626364653230613734633136396233383465303233333434300d0a436f6e74656e742d446973706f736974696f6e3a20666f726d2d646174613b206e616d653d227a6970223b2066696c656e616d653d226e79616e2e7a6970220d0a0d0a504b030414000000080052998951643d7ca94e100000520c010007001c006e79616e2e736855540900030b05d15f0b0... | 2,289.25 | 8,983 | 0.993448 | 32 | 9,157 | 284.28125 | 0.65625 | 0.001539 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.631711 | 0.00131 | 9,157 | 4 | 8,984 | 2,289.25 | 0.36304 | 0 | 0 | 0 | 0 | 0.25 | 0.991592 | 0.987879 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
975d6e40e16d587438511bdb629057b7e4d1156c | 546,092 | py | Python | experiment_results/sim_product_state_2_copies_20190610T110047Z.py | carstenblank/Quantum-classifier-with-tailored-quantum-kernels---Supplemental | 7c3188f0b71e825bc8ce2b1577a93d10b34abdbc | [
"Apache-2.0"
] | 11 | 2020-02-18T14:14:40.000Z | 2021-10-10T12:19:23.000Z | experiment_results/sim_product_state_2_copies_20190610T110047Z.py | carstenblank/Quantum-classifier-with-tailored-quantum-kernels---Supplemental | 7c3188f0b71e825bc8ce2b1577a93d10b34abdbc | [
"Apache-2.0"
] | null | null | null | experiment_results/sim_product_state_2_copies_20190610T110047Z.py | carstenblank/Quantum-classifier-with-tailored-quantum-kernels---Supplemental | 7c3188f0b71e825bc8ce2b1577a93d10b34abdbc | [
"Apache-2.0"
] | 2 | 2020-07-08T23:17:01.000Z | 2021-09-27T03:13:32.000Z | # -*- coding: utf-8 -*-
# Copyright 2019 Carsten Blank
#
# 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 la... | 1,210.847007 | 500,450 | 0.49241 | 84,612 | 546,092 | 3.159918 | 0.013651 | 0.106034 | 0.033931 | 0.080586 | 0.962912 | 0.955728 | 0.953498 | 0.943613 | 0.943224 | 0.941728 | 0 | 0.179017 | 0.129204 | 546,092 | 451 | 500,451 | 1,210.847007 | 0.383227 | 0.001047 | 0 | 0.233945 | 0 | 0.288991 | 0.530093 | 0.101872 | 0 | 0 | 0.001386 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
97b3b82c33d49eae96285d84d8e75545c921e813 | 298,347 | py | Python | services/waas/src/oci_cli_waas/generated/waas_cli.py | honzajavorek/oci-cli | 6ea058afba323c6b3b70e98212ffaebb0d31985e | [
"Apache-2.0"
] | null | null | null | services/waas/src/oci_cli_waas/generated/waas_cli.py | honzajavorek/oci-cli | 6ea058afba323c6b3b70e98212ffaebb0d31985e | [
"Apache-2.0"
] | null | null | null | services/waas/src/oci_cli_waas/generated/waas_cli.py | honzajavorek/oci-cli | 6ea058afba323c6b3b70e98212ffaebb0d31985e | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
# Copyright (c) 2016, 2019, Oracle and/or its affiliates. All rights reserved.
from __future__ import print_function
import click
import oci # noqa: F401
import six # noqa: F401
import sys # noqa: F401
from oci_cli.cli_root import cli
from oci_cli import cli_constants # noqa: F401
from oci_cli impo... | 74.999246 | 1,085 | 0.729111 | 42,780 | 298,347 | 4.883567 | 0.02604 | 0.035985 | 0.028375 | 0.012464 | 0.888651 | 0.868351 | 0.847683 | 0.82891 | 0.812329 | 0.795509 | 0 | 0.003603 | 0.16094 | 298,347 | 3,977 | 1,086 | 75.018104 | 0.830968 | 0.015526 | 0 | 0.751054 | 0 | 0.107766 | 0.45548 | 0.036526 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028597 | false | 0.032812 | 0.004214 | 0 | 0.032812 | 0.00873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c11e90eba4eaf4106afba5b9460a4ced360e581e | 11,057 | py | Python | boto3_type_annotations_with_docs/boto3_type_annotations/opsworks/waiter.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 119 | 2018-12-01T18:20:57.000Z | 2022-02-02T10:31:29.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/opsworks/waiter.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 15 | 2018-11-16T00:16:44.000Z | 2021-11-13T03:44:18.000Z | boto3_type_annotations_with_docs/boto3_type_annotations/opsworks/waiter.py | cowboygneox/boto3_type_annotations | 450dce1de4e066b939de7eac2ec560ed1a7ddaa2 | [
"MIT"
] | 11 | 2019-05-06T05:26:51.000Z | 2021-09-28T15:27:59.000Z | from typing import Dict
from typing import List
from botocore.waiter import Waiter
class AppExists(Waiter):
def wait(self, StackId: str = None, AppIds: List = None, WaiterConfig: Dict = None):
"""
Polls :py:meth:`OpsWorks.Client.describe_apps` every 1 seconds until a successful state is reached. A... | 44.947154 | 205 | 0.599982 | 1,193 | 11,057 | 5.550712 | 0.104778 | 0.012836 | 0.043038 | 0.047569 | 0.927514 | 0.927514 | 0.910148 | 0.888553 | 0.88659 | 0.88659 | 0 | 0.017184 | 0.315818 | 11,057 | 245 | 206 | 45.130612 | 0.858163 | 0.749299 | 0 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0.285714 | 0.142857 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
c1750929afeab7906d139305e92b47f91306ebbb | 5,552 | py | Python | clean_py/tests/conftest.py | ccc118/clean-py | 47d9b19e625b8d3b08555809291056d96e421e64 | [
"MIT"
] | null | null | null | clean_py/tests/conftest.py | ccc118/clean-py | 47d9b19e625b8d3b08555809291056d96e421e64 | [
"MIT"
] | null | null | null | clean_py/tests/conftest.py | ccc118/clean-py | 47d9b19e625b8d3b08555809291056d96e421e64 | [
"MIT"
] | null | null | null | import os
import sys
from pathlib import Path
import pytest
def pytest_configure():
pytest.test_dir = Path(os.path.dirname(os.path.realpath(__file__)))
pytest.file_dir = pytest.test_dir / "test_files"
pytest.example_notebook = pytest.file_dir / "example_notebook.ipynb"
pytest.example_script = pytest.... | 70.278481 | 1,101 | 0.604287 | 961 | 5,552 | 3.3923 | 0.130073 | 0.017791 | 0.07362 | 0.092025 | 0.785276 | 0.785276 | 0.770552 | 0.762577 | 0.762577 | 0.762577 | 0 | 0.073981 | 0.208754 | 5,552 | 78 | 1,102 | 71.179487 | 0.668108 | 0 | 0 | 0.180328 | 0 | 0.098361 | 0.892651 | 0.210735 | 0.04918 | 0 | 0 | 0 | 0 | 1 | 0.098361 | true | 0 | 0.196721 | 0.081967 | 0.42623 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c17e1d09a8a98b70030d2ac7bb2e78da6eb98d5c | 11,195 | py | Python | py/HW3/option_models/sabr.py | PanyuLi/ASP | cf8694217ab0d5d248a24770f317b6783a3b64a0 | [
"MIT"
] | null | null | null | py/HW3/option_models/sabr.py | PanyuLi/ASP | cf8694217ab0d5d248a24770f317b6783a3b64a0 | [
"MIT"
] | null | null | null | py/HW3/option_models/sabr.py | PanyuLi/ASP | cf8694217ab0d5d248a24770f317b6783a3b64a0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 10
@author: jaehyuk
"""
import numpy as np
from . import normal
from . import bsm
import scipy.integrate as spint
import sys
sys.path.insert(sys.path.index('') + 1, 'C:/Users/cherr/Documents/GitHub/PyFeng')
import pyfeng as pf
'''
MC model class for Beta=1
'''
class ... | 33.219585 | 130 | 0.560965 | 1,686 | 11,195 | 3.624555 | 0.097865 | 0.051546 | 0.027491 | 0.035346 | 0.935526 | 0.930944 | 0.927344 | 0.91098 | 0.91098 | 0.91098 | 0 | 0.038057 | 0.312282 | 11,195 | 336 | 131 | 33.318452 | 0.755683 | 0.208397 | 0 | 0.877005 | 0 | 0 | 0.004713 | 0.004713 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085562 | false | 0 | 0.032086 | 0 | 0.245989 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c17e4ab4b6de7e402286c075a47f14ab29b7a20e | 1,887 | py | Python | tests/test_ospath.py | dgilland/ladder | 393e3ef950cd6222175aa9a6833e51ee35a20f53 | [
"MIT"
] | 3 | 2015-08-05T03:24:58.000Z | 2018-09-03T19:48:27.000Z | tests/test_ospath.py | dgilland/ladder | 393e3ef950cd6222175aa9a6833e51ee35a20f53 | [
"MIT"
] | 1 | 2018-03-05T18:09:52.000Z | 2018-03-05T18:09:52.000Z | tests/test_ospath.py | dgilland/ladder | 393e3ef950cd6222175aa9a6833e51ee35a20f53 | [
"MIT"
] | 1 | 2018-03-05T18:07:19.000Z | 2018-03-05T18:07:19.000Z |
from unittest import TestCase
from ladder import OSPath
class TestOSPath(TestCase):
def test_empty_path(self):
self.assertEqual(str(OSPath()), '')
def test_single_slash_path(self):
self.assertEqual(str(OSPath('/')), '/')
def test_initialized_path(self):
self.assertEqual(str(OSP... | 34.309091 | 69 | 0.63646 | 248 | 1,887 | 4.737903 | 0.157258 | 0.122553 | 0.11234 | 0.102128 | 0.801702 | 0.766809 | 0.71234 | 0.71234 | 0.645957 | 0.645957 | 0 | 0.00133 | 0.202968 | 1,887 | 54 | 70 | 34.944444 | 0.77992 | 0 | 0 | 0.3 | 0 | 0 | 0.184518 | 0.090668 | 0 | 0 | 0 | 0 | 0.425 | 1 | 0.225 | false | 0 | 0.05 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c1a9642c63d353965b77b77c9a34f942119f4052 | 4,861 | py | Python | tests/index/test_index__scan.py | radiac/serac | 61ac873aa53784a554fc44a799732f5d325a3f94 | [
"BSD-3-Clause"
] | null | null | null | tests/index/test_index__scan.py | radiac/serac | 61ac873aa53784a554fc44a799732f5d325a3f94 | [
"BSD-3-Clause"
] | null | null | null | tests/index/test_index__scan.py | radiac/serac | 61ac873aa53784a554fc44a799732f5d325a3f94 | [
"BSD-3-Clause"
] | null | null | null | """
Test scan() in serac/index/index.py
"""
import os
from pathlib import Path
from serac.index.index import scan
from serac.index.models import File
from ..mocks import DatabaseTest, FilesystemTest, mock_file_archive
class TestIndexScan(DatabaseTest, FilesystemTest):
def test_single_dir__all_files_add(self, fs... | 39.520325 | 88 | 0.645752 | 637 | 4,861 | 4.814757 | 0.122449 | 0.063906 | 0.114118 | 0.117705 | 0.855233 | 0.807304 | 0.796544 | 0.783828 | 0.716335 | 0.684382 | 0 | 0.006729 | 0.205102 | 4,861 | 122 | 89 | 39.844262 | 0.787008 | 0.0072 | 0 | 0.55914 | 0 | 0 | 0.126401 | 0.009963 | 0 | 0 | 0 | 0 | 0.483871 | 1 | 0.086022 | false | 0 | 0.053763 | 0 | 0.150538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c1bd2e8c9d292297d8d26070cdaefce7edc60f76 | 3,013 | py | Python | mysite/ViralScreener/models.py | memtech3/Viral-Screener | 1940a7e097a9f5b7eb78f001c0a9623b398c020e | [
"MIT"
] | 1 | 2020-03-25T22:23:35.000Z | 2020-03-25T22:23:35.000Z | mysite/ViralScreener/models.py | memtech3/Viral-Screener | 1940a7e097a9f5b7eb78f001c0a9623b398c020e | [
"MIT"
] | 7 | 2020-03-23T04:51:55.000Z | 2020-03-25T22:23:14.000Z | mysite/ViralScreener/models.py | memtech3/Viral-Screener | 1940a7e097a9f5b7eb78f001c0a9623b398c020e | [
"MIT"
] | null | null | null | from django.db import models
from django.conf import settings
from django.utils import timezone
# Create your models here.
class AlertMessage(models.Model):
name = models.CharField(max_length=200)
color = models.CharField(max_length=200, choices=[('success', 'green'), ('primary', 'blue'), ('warning', 'yellow'... | 44.308824 | 140 | 0.679721 | 357 | 3,013 | 5.588235 | 0.232493 | 0.12782 | 0.153383 | 0.204511 | 0.782456 | 0.768922 | 0.75188 | 0.75188 | 0.709774 | 0.709774 | 0 | 0.020016 | 0.154331 | 3,013 | 68 | 141 | 44.308824 | 0.762951 | 0.026552 | 0 | 0.694915 | 0 | 0 | 0.076109 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084746 | false | 0 | 0.050847 | 0.084746 | 0.864407 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
c1d172ba99eff34e577f914c7b73d2768fe92720 | 2,200 | py | Python | pybot/whatsapp/util/WaitUtil.py | iren86/whatsapp-pybot | 28f0d855f53090cb9a0c88bdbca29f6f93efc95e | [
"MIT"
] | 4 | 2017-08-15T10:04:11.000Z | 2019-09-01T08:28:42.000Z | pybot/whatsapp/util/WaitUtil.py | iren86/whatsapp-pybot | 28f0d855f53090cb9a0c88bdbca29f6f93efc95e | [
"MIT"
] | null | null | null | pybot/whatsapp/util/WaitUtil.py | iren86/whatsapp-pybot | 28f0d855f53090cb9a0c88bdbca29f6f93efc95e | [
"MIT"
] | 2 | 2019-08-27T19:14:03.000Z | 2019-10-12T21:50:03.000Z | # -*- coding: utf-8 -*-
import time
from pybot.whatsapp.core.LoggerFactory import get_logger
POLL_FREQUENCY = 0.5
# message will be posted every POLL_FREQUENCY * POST_WAIT_MSG_EVERY_ITERATION second
POST_WAIT_MSG_EVERY_ITERATION = 10
logger = get_logger()
def wait_for_result(method, timeout, wait_msg=None):
""... | 24.444444 | 96 | 0.565909 | 279 | 2,200 | 4.265233 | 0.218638 | 0.10084 | 0.055462 | 0.07563 | 0.805882 | 0.733613 | 0.733613 | 0.733613 | 0.733613 | 0.733613 | 0 | 0.009582 | 0.335909 | 2,200 | 89 | 97 | 24.719101 | 0.804928 | 0.115 | 0 | 0.8 | 0 | 0 | 0.054404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0.05 | 0.033333 | 0 | 0.183333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a9bf9edc8e638f330662df094722c79a41e1d026 | 3,546 | py | Python | ecs/tasks/migrations/0010_distinct_names.py | programmierfabrik/ecs | 2389a19453e21b2ea4e40b272552bcbd42b926a9 | [
"Apache-2.0"
] | 9 | 2017-02-13T18:17:13.000Z | 2020-11-21T20:15:54.000Z | ecs/tasks/migrations/0010_distinct_names.py | programmierfabrik/ecs | 2389a19453e21b2ea4e40b272552bcbd42b926a9 | [
"Apache-2.0"
] | 2 | 2021-05-20T14:26:47.000Z | 2021-05-20T14:26:48.000Z | ecs/tasks/migrations/0010_distinct_names.py | programmierfabrik/ecs | 2389a19453e21b2ea4e40b272552bcbd42b926a9 | [
"Apache-2.0"
] | 4 | 2017-04-02T18:48:59.000Z | 2021-11-23T15:40:35.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tasks', '0009_task_review_for'),
]
operations = [
migrations.RunSQL('''
with n as (
update workf... | 30.834783 | 61 | 0.498308 | 340 | 3,546 | 5.017647 | 0.141176 | 0.126612 | 0.036928 | 0.068581 | 0.822978 | 0.759672 | 0.705744 | 0.705744 | 0.705744 | 0.401524 | 0 | 0.007231 | 0.454033 | 3,546 | 114 | 62 | 31.105263 | 0.873967 | 0.005922 | 0 | 0.72 | 0 | 0 | 0.934431 | 0.045984 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.02 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e704f06d325d5dcd5aacd677496df9c60e4fe384 | 47 | py | Python | backend/app/views/analyze_digests/__init__.py | Edinburgh-Genome-Foundry/CUBA | d57565951ead619ef9263e8b356b451001fb910f | [
"MIT"
] | 15 | 2018-02-12T13:12:13.000Z | 2021-08-15T11:37:59.000Z | backend/app/views/analyze_digests/__init__.py | Edinburgh-Genome-Foundry/CUBA | d57565951ead619ef9263e8b356b451001fb910f | [
"MIT"
] | 9 | 2020-06-05T17:54:54.000Z | 2022-02-12T12:03:19.000Z | backend/app/views/analyze_digests/__init__.py | Edinburgh-Genome-Foundry/CUBA | d57565951ead619ef9263e8b356b451001fb910f | [
"MIT"
] | 3 | 2018-10-18T13:08:50.000Z | 2020-08-17T14:09:46.000Z | from .AnalyzeDigests import AnalyzeDigestsView
| 23.5 | 46 | 0.893617 | 4 | 47 | 10.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085106 | 47 | 1 | 47 | 47 | 0.976744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e7637aaafc574d9fe13298f9e3e8e5bb68c542aa | 124 | py | Python | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/viper/calculators/calc_ber.py | PascalGuenther/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 82 | 2016-06-29T17:24:43.000Z | 2021-04-16T06:49:17.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/viper/calculators/calc_ber.py | PascalGuenther/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 6 | 2022-01-12T18:22:08.000Z | 2022-03-25T10:19:27.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/viper/calculators/calc_ber.py | PascalGuenther/gecko_sdk | 2e82050dc8823c9fe0e8908c1b2666fb83056230 | [
"Zlib"
] | 56 | 2016-08-02T10:50:50.000Z | 2021-07-19T08:57:34.000Z | from pyradioconfig.parts.bobcat.calculators.calc_ber import Calc_BER_Bobcat
class calc_ber_viper(Calc_BER_Bobcat):
pass | 31 | 75 | 0.854839 | 19 | 124 | 5.210526 | 0.578947 | 0.282828 | 0.262626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08871 | 124 | 4 | 76 | 31 | 0.876106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 7 |
99c8729dd19d7fa5f0661ffa4bfe98f31f3d26f0 | 14,964 | py | Python | BookClub/tests/views/action_views/test_join_club_view.py | amir-rahim/BookClubSocialNetwork | b69a07cd33592f700214252a64c7c1c53845625d | [
"MIT"
] | 4 | 2022-02-04T02:11:48.000Z | 2022-03-12T21:38:01.000Z | BookClub/tests/views/action_views/test_join_club_view.py | amir-rahim/BookClubSocialNetwork | b69a07cd33592f700214252a64c7c1c53845625d | [
"MIT"
] | 51 | 2022-02-01T18:56:23.000Z | 2022-03-31T15:35:37.000Z | BookClub/tests/views/action_views/test_join_club_view.py | amir-rahim/BookClubSocialNetwork | b69a07cd33592f700214252a64c7c1c53845625d | [
"MIT"
] | null | null | null | """Unit Testing of the Join Club view."""
from django.contrib import messages
from django.core.exceptions import ObjectDoesNotExist
from django.test import TestCase, tag
from django.urls import reverse
from BookClub.models import User, Club, ClubMembership
from BookClub.tests.helpers import LogInTester
@tag("views",... | 58.225681 | 116 | 0.680634 | 1,647 | 14,964 | 5.9915 | 0.068002 | 0.048642 | 0.027868 | 0.062829 | 0.905047 | 0.900993 | 0.900993 | 0.900993 | 0.889947 | 0.88407 | 0 | 0.007702 | 0.210438 | 14,964 | 256 | 117 | 58.453125 | 0.827507 | 0.029404 | 0 | 0.798165 | 0 | 0 | 0.069872 | 0.008829 | 0 | 0 | 0 | 0 | 0.275229 | 1 | 0.087156 | false | 0.073395 | 0.027523 | 0 | 0.123853 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
4171cc573a219efb4c66383c0e807efee309c6d1 | 180 | py | Python | Python/Category/builtins.py | wurui1994/test | 027cef75f98dbb252b322113dacd4a9a6997d84f | [
"MIT"
] | 27 | 2017-12-19T09:15:36.000Z | 2021-07-30T13:02:00.000Z | Python/Category/builtins.py | wurui1994/test | 027cef75f98dbb252b322113dacd4a9a6997d84f | [
"MIT"
] | null | null | null | Python/Category/builtins.py | wurui1994/test | 027cef75f98dbb252b322113dacd4a9a6997d84f | [
"MIT"
] | 29 | 2018-04-10T13:25:54.000Z | 2021-12-24T01:51:03.000Z |
# print([callable(getattr(__builtins__, attr)) for attr in dir(__builtins__)])
print([(attr,type(getattr(__builtins__, attr))) for attr in dir(__builtins__)])
# print 'hello'*100
| 36 | 79 | 0.738889 | 24 | 180 | 4.875 | 0.458333 | 0.25641 | 0.324786 | 0.376068 | 0.752137 | 0.752137 | 0.752137 | 0.752137 | 0.752137 | 0 | 0 | 0.018405 | 0.094444 | 180 | 4 | 80 | 45 | 0.699387 | 0.522222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 |
68fac8d2f86ab04b3685489b6b71aca1265871fb | 35,910 | py | Python | models/ModelSet.py | mourmoerl/med_segmentation | 36b757253f92a862d195549d2ebbb1f3ca3a4469 | [
"Apache-2.0"
] | null | null | null | models/ModelSet.py | mourmoerl/med_segmentation | 36b757253f92a862d195549d2ebbb1f3ca3a4469 | [
"Apache-2.0"
] | null | null | null | models/ModelSet.py | mourmoerl/med_segmentation | 36b757253f92a862d195549d2ebbb1f3ca3a4469 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
from tensorflow.keras.layers import *
import tensorflow.keras.backend as K
from tensorflow.keras.utils import multi_gpu_model
from .blocks import *
# from .loss_Function import *
import models.loss_function as loss_function
from .metrics import *
from util import convert_tf_optimizer
import copy... | 45.862069 | 130 | 0.561487 | 4,903 | 35,910 | 3.892515 | 0.054253 | 0.063663 | 0.052083 | 0.069688 | 0.832172 | 0.811056 | 0.79497 | 0.78601 | 0.771706 | 0.758501 | 0 | 0.027824 | 0.287413 | 35,910 | 782 | 131 | 45.920716 | 0.718004 | 0.059844 | 0 | 0.734349 | 0 | 0 | 0.079177 | 0.012401 | 0 | 0 | 0 | 0 | 0.001692 | 1 | 0.025381 | false | 0 | 0.015228 | 0 | 0.087986 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
68fe97f8253d81c4b3376564ff0c281d6ff0a99e | 106 | py | Python | stable_baselines3/ppo/__init__.py | koulakis/stable-baselines3 | 08e7519381e800edc6bbd09577f14381b7341873 | [
"MIT"
] | 1 | 2020-06-24T16:57:19.000Z | 2020-06-24T16:57:19.000Z | stable_baselines3/ppo/__init__.py | koulakis/stable-baselines3 | 08e7519381e800edc6bbd09577f14381b7341873 | [
"MIT"
] | null | null | null | stable_baselines3/ppo/__init__.py | koulakis/stable-baselines3 | 08e7519381e800edc6bbd09577f14381b7341873 | [
"MIT"
] | null | null | null | from stable_baselines3.ppo.ppo import PPO
from stable_baselines3.ppo.policies import MlpPolicy, CnnPolicy
| 35.333333 | 63 | 0.867925 | 15 | 106 | 6 | 0.533333 | 0.222222 | 0.444444 | 0.511111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020619 | 0.084906 | 106 | 2 | 64 | 53 | 0.907216 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
ec4bd40d335af8d8c1de608b0db2d5fbbc9ceba3 | 18,728 | py | Python | data_service/views/stock_price.py | freelancing-solutions/GCP-Based-Database-as-a-Service | 7d6a12c33db238ca2f748bf4ddea6d2cf3c16da3 | [
"MIT"
] | 1 | 2021-04-15T19:45:04.000Z | 2021-04-15T19:45:04.000Z | data_service/views/stock_price.py | freelancing-solutions/pinydesk | 7d6a12c33db238ca2f748bf4ddea6d2cf3c16da3 | [
"MIT"
] | 516 | 2021-05-02T11:46:36.000Z | 2022-03-29T06:09:49.000Z | data_service/views/stock_price.py | freelancing-solutions/pinydesk | 7d6a12c33db238ca2f748bf4ddea6d2cf3c16da3 | [
"MIT"
] | 1 | 2021-09-04T22:40:14.000Z | 2021-09-04T22:40:14.000Z | import typing
import functools
from google.api_core.exceptions import RetryError, Aborted
from flask import current_app, jsonify
from google.cloud.ndb.exceptions import BadRequestError, BadQueryError
from data_service.main import cache_stocks
from data_service.config.exceptions import DataServiceError
from data_service... | 53.204545 | 144 | 0.618753 | 2,148 | 18,728 | 5.121043 | 0.067039 | 0.076091 | 0.080182 | 0.025455 | 0.897727 | 0.861455 | 0.839273 | 0.814091 | 0.782636 | 0.745364 | 0 | 0.007883 | 0.288819 | 18,728 | 351 | 145 | 53.356125 | 0.818004 | 0.001442 | 0 | 0.711039 | 0 | 0 | 0.090899 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038961 | false | 0 | 0.038961 | 0 | 0.295455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6b921769b23c87f873be8bbcfafb61eeb16af251 | 1,818 | py | Python | Insert.py | ArchinDeepakTV/Covid_System | a2aa8acb10ed23c7a7e94dcf1ff51815d847ad2f | [
"MIT"
] | null | null | null | Insert.py | ArchinDeepakTV/Covid_System | a2aa8acb10ed23c7a7e94dcf1ff51815d847ad2f | [
"MIT"
] | null | null | null | Insert.py | ArchinDeepakTV/Covid_System | a2aa8acb10ed23c7a7e94dcf1ff51815d847ad2f | [
"MIT"
] | null | null | null | #!/usr/bin/python
import psycopg2
from config import config
def insert_hospitals(ID):
""" insert a new vendor into the vendors table """
sql = """INSERT INTO hospitals(hospital_id)
VALUES(%s) RETURNING hospital_id;"""
conn = None
vendor_id = None
try:
# read database configu... | 27.545455 | 56 | 0.59516 | 215 | 1,818 | 4.967442 | 0.283721 | 0.044944 | 0.016854 | 0.022472 | 0.85206 | 0.85206 | 0.85206 | 0.85206 | 0.85206 | 0.85206 | 0 | 0.00565 | 0.318482 | 1,818 | 65 | 57 | 27.969231 | 0.856336 | 0.289329 | 0 | 0.75 | 0 | 0 | 0.116996 | 0.017391 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.15 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6ba008f822964168fef5f7aa17e630694a23ff1c | 145 | py | Python | python/utils/math_functions.py | memgraph/mage | 8c389146dfce35c436e941b04655d9f758351e46 | [
"Apache-2.0"
] | 67 | 2021-01-29T08:38:11.000Z | 2022-03-22T08:39:47.000Z | python/utils/math_functions.py | memgraph/mage | 8c389146dfce35c436e941b04655d9f758351e46 | [
"Apache-2.0"
] | 35 | 2021-04-12T12:51:17.000Z | 2022-03-18T13:24:39.000Z | python/utils/math_functions.py | memgraph/mage | 8c389146dfce35c436e941b04655d9f758351e46 | [
"Apache-2.0"
] | 4 | 2021-07-20T10:59:12.000Z | 2021-12-15T08:07:11.000Z | from typing import List
import numpy as np
def normalize(an_array: List[float]) -> List[float]:
return np.array(an_array) / sum(an_array)
| 18.125 | 52 | 0.724138 | 24 | 145 | 4.25 | 0.583333 | 0.205882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.165517 | 145 | 7 | 53 | 20.714286 | 0.842975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
6bc8eea28a1899074b23c53e6b3e9d203085f48f | 2,143 | py | Python | datasets/create_imagenets_t1.py | akshitac8/OW-DETR | 9d6705f059a1eb51ea6edfa26ee624abeb67c775 | [
"Apache-2.0"
] | 7 | 2022-03-29T22:38:05.000Z | 2022-03-30T11:47:00.000Z | datasets/create_imagenets_t1.py | akshitac8/OW-DETR | 9d6705f059a1eb51ea6edfa26ee624abeb67c775 | [
"Apache-2.0"
] | null | null | null | datasets/create_imagenets_t1.py | akshitac8/OW-DETR | 9d6705f059a1eb51ea6edfa26ee624abeb67c775 | [
"Apache-2.0"
] | null | null | null | from pycocotools.coco import COCO
import numpy as np
T1_CLASS_NAMES = [
"airplane","bicycle","bird","boat","bus","car",
"cat","cow","dog","horse","motorcycle","sheep",
"train","elephant","bear","zebra","giraffe","truck","person"
]
# Train
coco_annotation_file = '../../data/coco/annotations/instances_tra... | 29.763889 | 121 | 0.699487 | 323 | 2,143 | 4.430341 | 0.263158 | 0.083857 | 0.041929 | 0.072676 | 0.856744 | 0.856744 | 0.856744 | 0.792453 | 0.739343 | 0.739343 | 0 | 0.014682 | 0.141857 | 2,143 | 71 | 122 | 30.183099 | 0.763458 | 0.004666 | 0 | 0.754717 | 0 | 0 | 0.188732 | 0.1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037736 | 0 | 0.037736 | 0.150943 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d4056a327e646aeecd145b5d60afad3f463641ef | 8,665 | py | Python | pvae/models/architectures.py | thanosvlo/Causal-Future-Prediction-in-a-Minkowski-Space-Time | 0e0539a122484ce9869aca9acd436a24c2597908 | [
"MIT"
] | 8 | 2020-08-31T20:34:44.000Z | 2021-05-26T20:32:22.000Z | pvae/models/architectures.py | thanosvlo/Causal-Future-Prediction-in-a-Minkowski-Space-Time | 0e0539a122484ce9869aca9acd436a24c2597908 | [
"MIT"
] | null | null | null | pvae/models/architectures.py | thanosvlo/Causal-Future-Prediction-in-a-Minkowski-Space-Time | 0e0539a122484ce9869aca9acd436a24c2597908 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from numpy import prod
from pvae.utils import Constants
from pvae.ops.manifold_layers import GeodesicLayer, MobiusLayer, LogZero, ExpZero
def extra_hidden_layer(hidden_dim, non_lin):
return nn.Sequential(nn.Linear(hidden_dim, hidden_dim), non_lin)... | 42.684729 | 120 | 0.659319 | 1,235 | 8,665 | 4.375709 | 0.089069 | 0.079941 | 0.03997 | 0.049963 | 0.858438 | 0.839748 | 0.813101 | 0.80792 | 0.786825 | 0.777572 | 0 | 0.015238 | 0.212349 | 8,665 | 202 | 121 | 42.89604 | 0.776557 | 0.058742 | 0 | 0.701299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.038961 | 0.012987 | 0.324675 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d44a786ce96802bfa86843baaae3cff6940ca5e4 | 82 | py | Python | ips/ip/spi_slave/__init__.py | zld012739/zldrepository | 5635b78a168956091676ef4dd99fa564be0e5ba0 | [
"MIT"
] | null | null | null | ips/ip/spi_slave/__init__.py | zld012739/zldrepository | 5635b78a168956091676ef4dd99fa564be0e5ba0 | [
"MIT"
] | null | null | null | ips/ip/spi_slave/__init__.py | zld012739/zldrepository | 5635b78a168956091676ef4dd99fa564be0e5ba0 | [
"MIT"
] | null | null | null | from spi_slave_partial import get_ip_name
from spi_slave_partial import SPI_SLAVE
| 27.333333 | 41 | 0.902439 | 15 | 82 | 4.466667 | 0.533333 | 0.358209 | 0.358209 | 0.567164 | 0.746269 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097561 | 82 | 2 | 42 | 41 | 0.905405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
d44dc61b476043323b5403724c449de7b8be2a09 | 10,519 | py | Python | yt_dlp/extractor/taobao.py | cpanel10x/yt-dlp | 49c19b7912d5b7261a26df701356c0e41eb78daf | [
"Unlicense"
] | null | null | null | yt_dlp/extractor/taobao.py | cpanel10x/yt-dlp | 49c19b7912d5b7261a26df701356c0e41eb78daf | [
"Unlicense"
] | null | null | null | yt_dlp/extractor/taobao.py | cpanel10x/yt-dlp | 49c19b7912d5b7261a26df701356c0e41eb78daf | [
"Unlicense"
] | null | null | null | # coding: utf-8
from .common import InfoExtractor
import json
from ..utils import (
int_or_none,
js_to_json,
mimetype2ext,
ExtractorError,
)
class TmallIE(InfoExtractor):
IE_NAME = 'tmall:product'
_VALID_URL = r'https?:\/\/(?:(?:www|[a-z]{2})\.)?detail\.tmall\.com\/.*?id\=(?P<id>\d+)'
_TEST... | 39.25 | 119 | 0.506227 | 1,237 | 10,519 | 4.192401 | 0.151172 | 0.050135 | 0.075202 | 0.080216 | 0.861743 | 0.830698 | 0.814886 | 0.804859 | 0.785577 | 0.769958 | 0 | 0.025165 | 0.323795 | 10,519 | 267 | 120 | 39.397004 | 0.703922 | 0.126533 | 0 | 0.764706 | 0 | 0.036199 | 0.320297 | 0.116015 | 0 | 0 | 0 | 0.003745 | 0 | 1 | 0.022624 | false | 0 | 0.013575 | 0 | 0.167421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d46593561d87d673d3876da4721157ac7aacc8ed | 244 | py | Python | VSCode_work/chapter5/chapter5_5_4.py | yangyahu-1994/Python-Crash-Course | 6f8ef7fe8466d88931a0d3cc423ba5d966663b9d | [
"MIT"
] | 12 | 2020-10-22T14:03:27.000Z | 2022-03-28T08:14:22.000Z | VSCode_work/chapter5/chapter5_5_4.py | yangyahu-1994/Python-Crash-Course | 6f8ef7fe8466d88931a0d3cc423ba5d966663b9d | [
"MIT"
] | null | null | null | VSCode_work/chapter5/chapter5_5_4.py | yangyahu-1994/Python-Crash-Course | 6f8ef7fe8466d88931a0d3cc423ba5d966663b9d | [
"MIT"
] | 9 | 2020-12-22T10:22:12.000Z | 2022-03-28T08:14:53.000Z | alien_color = 'green'
if alien_color == 'green':
print("You get 5 points.")
else:
print("\nYou get 10 points.")
alien_color = 'yellow'
if alien_color == 'green':
print("You get 5 points.")
else:
print("\nYou get 10 points.") | 17.428571 | 33 | 0.627049 | 36 | 244 | 4.138889 | 0.361111 | 0.268456 | 0.302013 | 0.228188 | 0.791946 | 0.791946 | 0.791946 | 0.791946 | 0.791946 | 0.791946 | 0 | 0.031088 | 0.209016 | 244 | 14 | 34 | 17.428571 | 0.740933 | 0 | 0 | 0.8 | 0 | 0 | 0.387755 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
d470a1de6b5ba86e7a7f7c163885d3267a68ae5b | 58,743 | py | Python | lang/python/github/com/metaprov/modelaapi/services/common/v1/common_pb2.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | null | null | null | lang/python/github/com/metaprov/modelaapi/services/common/v1/common_pb2.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | null | null | null | lang/python/github/com/metaprov/modelaapi/services/common/v1/common_pb2.py | metaprov/modeldapi | ee05693832051dcd990ee4f061715d7ae0787340 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: github.com/metaprov/modelaapi/services/common/v1/common.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf impo... | 53.5 | 4,912 | 0.759376 | 7,642 | 58,743 | 5.57027 | 0.052342 | 0.052622 | 0.083466 | 0.094719 | 0.822825 | 0.794987 | 0.786929 | 0.783053 | 0.778942 | 0.769428 | 0 | 0.040525 | 0.115333 | 58,743 | 1,097 | 4,913 | 53.548769 | 0.778595 | 0.024939 | 0 | 0.708616 | 1 | 0.003872 | 0.235486 | 0.206633 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.018393 | 0 | 0.018393 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
00f8bd1bdbd6a530e6abd504790d7e727e868047 | 11,635 | py | Python | test/rest_basic/test_message_logic.py | amstee/NeoRestAPI | 9c0e28a82ae0d23bab03993340df73383a9454af | [
"Apache-2.0"
] | 3 | 2018-09-20T16:27:39.000Z | 2019-10-29T23:35:14.000Z | test/rest_basic/test_message_logic.py | amstee/NeoRestAPI | 9c0e28a82ae0d23bab03993340df73383a9454af | [
"Apache-2.0"
] | 1 | 2021-02-08T20:23:30.000Z | 2021-02-08T20:23:30.000Z | test/rest_basic/test_message_logic.py | amstee/NeoRestAPI | 9c0e28a82ae0d23bab03993340df73383a9454af | [
"Apache-2.0"
] | null | null | null | import unittest
import json
from config.loader import neo_config
from api import NeoAPI
from config.database import db
from models.User import User as UserModel
from models.UserToCircle import UserToCircle
from models.Conversation import Conversation
from models.Circle import Circle
from models.UserToConversat... | 47.489796 | 120 | 0.621143 | 1,284 | 11,635 | 5.488318 | 0.091122 | 0.029516 | 0.022137 | 0.031361 | 0.881936 | 0.871009 | 0.866042 | 0.866042 | 0.843763 | 0.843763 | 0 | 0.022222 | 0.261281 | 11,635 | 244 | 121 | 47.684426 | 0.797673 | 0 | 0 | 0.777778 | 0 | 0 | 0.154684 | 0.040383 | 0 | 0 | 0 | 0 | 0.155556 | 1 | 0.071111 | false | 0.026667 | 0.053333 | 0 | 0.137778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2e2a47f91e67be7110cb25aa26a809c53a9dd0ba | 9,834 | py | Python | MLNN.py | billybishop21/Algo_Signals_2.0 | 07541de6cdc0de0c050f7c38173ee0ded33a6d19 | [
"MIT"
] | null | null | null | MLNN.py | billybishop21/Algo_Signals_2.0 | 07541de6cdc0de0c050f7c38173ee0ded33a6d19 | [
"MIT"
] | null | null | null | MLNN.py | billybishop21/Algo_Signals_2.0 | 07541de6cdc0de0c050f7c38173ee0ded33a6d19 | [
"MIT"
] | 1 | 2021-10-16T12:48:21.000Z | 2021-10-16T12:48:21.000Z | import pandas as pd
from pathlib import Path
# import tensorflow as tf
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler,OneHotEncoder
import sqlalchemy
# import h5py
# import hvp... | 41.493671 | 135 | 0.71446 | 1,361 | 9,834 | 4.982366 | 0.13299 | 0.012535 | 0.0146 | 0.011503 | 0.831441 | 0.828049 | 0.814629 | 0.807845 | 0.802389 | 0.802389 | 0 | 0.007305 | 0.178666 | 9,834 | 236 | 136 | 41.669492 | 0.83224 | 0.306793 | 0 | 0.751938 | 0 | 0 | 0.115658 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.093023 | 0 | 0.139535 | 0.077519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2e39d9dab0e286e805715035597f03de08f7d904 | 9,264 | py | Python | vanilla_cmu/net/utils/graph.py | ericchen321/DMGNN | 759adf63d97d8b69fb30ccaaed0332e66699a1fa | [
"MIT"
] | 100 | 2020-03-15T17:48:44.000Z | 2022-03-22T18:26:47.000Z | vanilla_cmu/net/utils/graph.py | ericchen321/DMGNN | 759adf63d97d8b69fb30ccaaed0332e66699a1fa | [
"MIT"
] | 11 | 2020-03-30T11:55:45.000Z | 2021-08-31T04:54:18.000Z | vanilla_cmu/net/utils/graph.py | ericchen321/DMGNN | 759adf63d97d8b69fb30ccaaed0332e66699a1fa | [
"MIT"
] | 23 | 2020-03-22T21:55:25.000Z | 2022-03-11T20:36:36.000Z | import numpy as np
class Graph_J():
def __init__(self, layout='cmu', strategy='uniform', max_hop=1, dilation=1):
self.max_hop = max_hop
self.dilation = dilation
self.get_edge(layout)
self.hop_dis = get_hop_distance(self.num_node, self.edge, max_hop=max_hop)
self.get_adjacen... | 40.454148 | 93 | 0.503886 | 1,313 | 9,264 | 3.347296 | 0.072353 | 0.101934 | 0.127645 | 0.071672 | 0.912173 | 0.909898 | 0.903754 | 0.882821 | 0.872127 | 0.863936 | 0 | 0.042958 | 0.35924 | 9,264 | 228 | 94 | 40.631579 | 0.697439 | 0.028713 | 0 | 0.805128 | 0 | 0 | 0.011676 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.005128 | 0.015385 | 0.128205 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
cf3538009a237dab4300e27c779760872164ce6c | 286 | py | Python | Florence/VariationalPrinciple/__init__.py | jdlaubrie/florence | 830dca4a34be00d6e53cbec3007c10d438b27f57 | [
"MIT"
] | 65 | 2017-08-04T10:21:13.000Z | 2022-02-21T21:45:09.000Z | Florence/VariationalPrinciple/__init__.py | jdlaubrie/florence | 830dca4a34be00d6e53cbec3007c10d438b27f57 | [
"MIT"
] | 6 | 2018-06-03T02:29:20.000Z | 2022-01-18T02:30:22.000Z | Florence/VariationalPrinciple/__init__.py | jdlaubrie/florence | 830dca4a34be00d6e53cbec3007c10d438b27f57 | [
"MIT"
] | 10 | 2018-05-30T09:44:10.000Z | 2021-05-18T08:06:51.000Z | from .VariationalPrinciple import *
from .DisplacementFormulation import *
from .DisplacementPotentialFormulation import *
from .LaplacianFormulation import *
from .ExplicitPenaltyContactFormulation import *
from .CoupleStressFormulation import *
from .FlexoelectricFormulation import * | 40.857143 | 48 | 0.856643 | 21 | 286 | 11.666667 | 0.428571 | 0.244898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094406 | 286 | 7 | 49 | 40.857143 | 0.945946 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
cf69d0e6d9fbdd6655d5199aa084545f7ed81e82 | 189 | py | Python | flanaapis/geolocation/__init__.py | AlberLC/flanaapis | a1124d0fc8c77b7baa459b63a789fc4b22799ee2 | [
"MIT"
] | 1 | 2022-01-26T09:20:47.000Z | 2022-01-26T09:20:47.000Z | flanaapis/geolocation/__init__.py | AlberLC/flanaapis | a1124d0fc8c77b7baa459b63a789fc4b22799ee2 | [
"MIT"
] | null | null | null | flanaapis/geolocation/__init__.py | AlberLC/flanaapis | a1124d0fc8c77b7baa459b63a789fc4b22799ee2 | [
"MIT"
] | null | null | null | from flanaapis.geolocation.functions import *
from flanaapis.geolocation.google_maps import *
from flanaapis.geolocation.models import *
from flanaapis.geolocation.open_street_map import *
| 37.8 | 51 | 0.851852 | 23 | 189 | 6.869565 | 0.478261 | 0.329114 | 0.607595 | 0.56962 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084656 | 189 | 4 | 52 | 47.25 | 0.913295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
d8746d2a9032ed89a1792300b14306eb7e0aa07e | 3,516 | py | Python | tests/help/test_timing.py | pfeairheller/hio | 44669adb62c81357491f9f6157312bc1313b56cf | [
"Apache-2.0"
] | 1 | 2021-04-07T19:10:28.000Z | 2021-04-07T19:10:28.000Z | tests/help/test_timing.py | pfeairheller/hio | 44669adb62c81357491f9f6157312bc1313b56cf | [
"Apache-2.0"
] | 4 | 2021-03-30T20:50:19.000Z | 2022-01-06T17:16:18.000Z | tests/help/test_timing.py | pfeairheller/hio | 44669adb62c81357491f9f6157312bc1313b56cf | [
"Apache-2.0"
] | 3 | 2021-04-08T19:35:36.000Z | 2021-06-03T13:39:05.000Z | # -*- encoding: utf-8 -*-
"""
tests.help.test_timing module
"""
import time
import pytest
from hio.help.timing import TimerError, RetroTimerError
from hio.help.timing import Timer, MonoTimer
def test_timer():
"""
Test Timer class
"""
timer = Timer()
assert timer.duration == 0.0
assert timer.... | 26.43609 | 66 | 0.650739 | 488 | 3,516 | 4.655738 | 0.090164 | 0.305018 | 0.118838 | 0.178257 | 0.891725 | 0.851232 | 0.84507 | 0.84507 | 0.808979 | 0.797535 | 0 | 0.08164 | 0.230091 | 3,516 | 132 | 67 | 26.636364 | 0.757665 | 0.038111 | 0 | 0.787879 | 0 | 0 | 0.002417 | 0 | 0 | 0 | 0 | 0 | 0.636364 | 1 | 0.020202 | false | 0 | 0.040404 | 0 | 0.060606 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
d8a92b6f97ade3f8d3cdbaa3d3f9c9fc3e7a2d32 | 23,831 | py | Python | UI/queries2.py | gustavo-moura/ABCSystem | bdd98d1b18033af81437cc85502659fc4484937d | [
"MIT"
] | 1 | 2018-06-13T15:20:48.000Z | 2018-06-13T15:20:48.000Z | UI/queries2.py | gustavo-moura/ABCSystem | bdd98d1b18033af81437cc85502659fc4484937d | [
"MIT"
] | null | null | null | UI/queries2.py | gustavo-moura/ABCSystem | bdd98d1b18033af81437cc85502659fc4484937d | [
"MIT"
] | null | null | null | import os
os.chdir("C:\\oraclexe\\instantclient_12_2")
import cx_Oracle
class connection():
def hello():
print("Hello world")
def connect():
# opening connection
ORACLE_CONNECT = "a9762942/a9762942@(DESCRIPTION=(SOURCE_ROUTE=OFF)(ADDRESS_LIST=(ADDRESS=(PROTOCOL=TCP)(HOST=grad.icmc.us... | 48.046371 | 1,066 | 0.620117 | 3,187 | 23,831 | 4.527142 | 0.060559 | 0.054062 | 0.036388 | 0.031189 | 0.918838 | 0.906016 | 0.897976 | 0.891392 | 0.882104 | 0.875866 | 0 | 0.029464 | 0.260837 | 23,831 | 496 | 1,067 | 48.046371 | 0.789611 | 0.148336 | 0 | 0.813889 | 0 | 0.094444 | 0.458969 | 0.225216 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061111 | false | 0 | 0.005556 | 0 | 0.175 | 0.061111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
2b08972e87fd41e343da08531ee9b59f7b54b839 | 2,274 | py | Python | katana-cli/cli/commands/cmd_resources.py | tgogos/katana-slice_manager | 75e47751d1566ad9cea54cf715cfe36dae1debc4 | [
"Apache-2.0"
] | 55 | 2019-07-24T15:52:11.000Z | 2022-03-27T22:58:59.000Z | katana-cli/cli/commands/cmd_resources.py | tgogos/katana-slice_manager | 75e47751d1566ad9cea54cf715cfe36dae1debc4 | [
"Apache-2.0"
] | 39 | 2019-12-16T13:53:08.000Z | 2022-01-29T15:58:20.000Z | katana-cli/cli/commands/cmd_resources.py | tgogos/katana-slice_manager | 75e47751d1566ad9cea54cf715cfe36dae1debc4 | [
"Apache-2.0"
] | 20 | 2019-07-25T09:17:33.000Z | 2022-03-28T03:34:38.000Z | import requests
import json
import click
@click.group()
def cli():
"""Query Resources"""
pass
@click.command()
def ls():
"""
List all resources
"""
url = "http://localhost:8000/api/resources"
r = None
try:
r = requests.get(url, timeout=30)
r.raise_for_status()
... | 27.071429 | 59 | 0.646438 | 275 | 2,274 | 5.298182 | 0.210909 | 0.115305 | 0.197666 | 0.046671 | 0.803706 | 0.803706 | 0.737817 | 0.72615 | 0.72615 | 0.72615 | 0 | 0.011429 | 0.230431 | 2,274 | 83 | 60 | 27.39759 | 0.821143 | 0.047054 | 0 | 0.746032 | 0 | 0 | 0.125236 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0.015873 | 0.047619 | 0 | 0.111111 | 0.190476 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
99a68869a93b9816cce769b8e77521f0faceef56 | 3,149 | py | Python | scripts/constants/models_config.py | daniele21/DL_soccer_prediction_v2 | 97bafe911fd8883d6679cf55fd0fff34db67ef06 | [
"MIT"
] | null | null | null | scripts/constants/models_config.py | daniele21/DL_soccer_prediction_v2 | 97bafe911fd8883d6679cf55fd0fff34db67ef06 | [
"MIT"
] | null | null | null | scripts/constants/models_config.py | daniele21/DL_soccer_prediction_v2 | 97bafe911fd8883d6679cf55fd0fff34db67ef06 | [
"MIT"
] | null | null | null | from scripts.constants.configs import *
from scripts.constants.league import *
from scripts.constants.paths import *
SERIE_A_PARAMS = {
"league": {
"league_name": SERIE_A,
"n_prev_match": 10,
"league_dir": DATA_DIR,
... | 37.939759 | 69 | 0.31375 | 207 | 3,149 | 4.521739 | 0.304348 | 0.025641 | 0.076923 | 0.051282 | 0.770299 | 0.770299 | 0.762821 | 0.762821 | 0.762821 | 0.762821 | 0 | 0.053558 | 0.584948 | 3,149 | 83 | 70 | 37.939759 | 0.662586 | 0.012385 | 0 | 0.782051 | 0 | 0 | 0.183076 | 0.0074 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
51070da0314109329c30570f1992d31a99ca856d | 27,479 | py | Python | auth/tests.py | arcturus5340/julia | 6bb7b6e956edc9b16f773926978679dd6031e959 | [
"MIT"
] | 13 | 2018-10-20T17:31:00.000Z | 2022-03-06T23:02:48.000Z | auth/tests.py | arcturus5340/julia | 6bb7b6e956edc9b16f773926978679dd6031e959 | [
"MIT"
] | 4 | 2019-10-08T18:24:38.000Z | 2021-06-10T20:06:26.000Z | auth/tests.py | arcturus5340/julia | 6bb7b6e956edc9b16f773926978679dd6031e959 | [
"MIT"
] | 6 | 2018-10-29T00:58:55.000Z | 2020-03-25T14:02:18.000Z | from django.core.files.uploadedfile import SimpleUploadedFile
from django.contrib.auth.models import Group
from django.core.files import File
from django.core import mail
from django.contrib import auth
from django.conf import settings
from rest_framework.test import APIClient, APITestCase
from rest_framework import s... | 42.935938 | 144 | 0.667892 | 3,181 | 27,479 | 5.546998 | 0.061301 | 0.079909 | 0.053783 | 0.085463 | 0.902239 | 0.878322 | 0.86098 | 0.842732 | 0.820856 | 0.80187 | 0 | 0.010624 | 0.2019 | 27,479 | 639 | 145 | 43.00313 | 0.793945 | 0 | 0 | 0.69428 | 0 | 0 | 0.178027 | 0.066414 | 0 | 0 | 0 | 0 | 0.220907 | 1 | 0.092702 | false | 0.09073 | 0.019724 | 0 | 0.116371 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
510819c79f4d238a067b709b1c181a406135bf71 | 7,795 | py | Python | pid.py | elhamalamoudi/deepPID | a6b80abeebda3c86fd99dc37805977e8994b6c36 | [
"MIT"
] | 5 | 2020-08-24T18:41:21.000Z | 2022-01-02T03:46:50.000Z | pid.py | elhamalamoudi/deepPID | a6b80abeebda3c86fd99dc37805977e8994b6c36 | [
"MIT"
] | null | null | null | pid.py | elhamalamoudi/deepPID | a6b80abeebda3c86fd99dc37805977e8994b6c36 | [
"MIT"
] | 10 | 2020-06-17T13:03:10.000Z | 2022-02-24T07:43:35.000Z | import numpy as np
class pid_controller():
def __init__(self,set_point,n_actions=6, dt = 0.1):
self.dt = dt
self.actions=n_actions
self.set_point = set_point
self.action_vx = np.zeros(3)
self.action_wz = np.zeros(3)
self.u = np.zeros(6)
self.u0 = np.zeros(6)
... | 27.839286 | 122 | 0.523669 | 1,274 | 7,795 | 3.122449 | 0.044741 | 0.126697 | 0.044243 | 0.042232 | 0.992459 | 0.987682 | 0.987682 | 0.987431 | 0.987431 | 0.987431 | 0 | 0.072642 | 0.313021 | 7,795 | 280 | 123 | 27.839286 | 0.670215 | 0.030019 | 0 | 0.959184 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.005102 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
513e9142ab5295398e9919fd3068027f62400fa5 | 14,426 | py | Python | The dawn of Otrozhny/menuTabs.py | SeoFernando25/The-dawn-of-Otrozhny | b42f3ca71c477e2b76e5189e790e70c930712c24 | [
"MIT"
] | null | null | null | The dawn of Otrozhny/menuTabs.py | SeoFernando25/The-dawn-of-Otrozhny | b42f3ca71c477e2b76e5189e790e70c930712c24 | [
"MIT"
] | null | null | null | The dawn of Otrozhny/menuTabs.py | SeoFernando25/The-dawn-of-Otrozhny | b42f3ca71c477e2b76e5189e790e70c930712c24 | [
"MIT"
] | null | null | null | # Just placed some draw functions here because
# otherwise it would become messy
import textDraw
import renderer
import colors
import entities
def render_tutorial_tab_1():
textDraw.message_display_MB(
renderer.SCREEN,
"Enemy Status",
renderer.SCREEN_WIDTH... | 31.497817 | 84 | 0.601345 | 1,736 | 14,426 | 4.766705 | 0.145737 | 0.241692 | 0.17281 | 0.180665 | 0.812447 | 0.811722 | 0.785619 | 0.781269 | 0.770151 | 0.76858 | 0 | 0.045956 | 0.315195 | 14,426 | 457 | 85 | 31.56674 | 0.791679 | 0.005338 | 0 | 0.791123 | 0 | 0 | 0.139329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013055 | false | 0.002611 | 0.010444 | 0 | 0.023499 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
51487c8d1e6f5ed35bf205f07fbd7463e41233bc | 150 | py | Python | kfac/modules/__init__.py | saeedsoori/kfac_pytorch | a49d6f30daf6d1e989df9b13e1ca42f1d0742a44 | [
"MIT"
] | 35 | 2020-05-15T16:51:23.000Z | 2022-02-23T20:23:44.000Z | kfac/modules/__init__.py | MLHPC/Distributed_KFAC_Pytorch | cfd6d54012cf23d832818ce302d2d2d049da4936 | [
"MIT"
] | 18 | 2020-04-27T19:36:05.000Z | 2022-03-25T22:14:16.000Z | kfac/modules/__init__.py | MLHPC/Distributed_KFAC_Pytorch | cfd6d54012cf23d832818ce302d2d2d049da4936 | [
"MIT"
] | 14 | 2020-05-24T17:22:14.000Z | 2022-03-17T19:31:07.000Z | from .lstm import LSTM, LSTMCellBase, LSTMCellKFAC, LSTMCell, LSTMLayer
__all__ = ['LSTM', 'LSTMCellBase', 'LSTMCellKFAC', 'LSTMCell', 'LSTMLayer']
| 30 | 75 | 0.74 | 14 | 150 | 7.642857 | 0.571429 | 0.299065 | 0.523364 | 0.672897 | 0.841122 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113333 | 150 | 4 | 76 | 37.5 | 0.804511 | 0 | 0 | 0 | 0 | 0 | 0.302013 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
5aa29f5cfc53ae5b3c761ca50474349257001bba | 140 | py | Python | code/solve_single_lin.py | thanever/DID | 018d901ec8a4d47645c83ab1807ed2e345829ad7 | [
"MIT"
] | null | null | null | code/solve_single_lin.py | thanever/DID | 018d901ec8a4d47645c83ab1807ed2e345829ad7 | [
"MIT"
] | null | null | null | code/solve_single_lin.py | thanever/DID | 018d901ec8a4d47645c83ab1807ed2e345829ad7 | [
"MIT"
] | 1 | 2021-10-03T04:14:48.000Z | 2021-10-03T04:14:48.000Z | def solve_single_lin(opt_x_s):
'''
solve one opt_x[s]
'''
opt_x_s.solve(solver='MOSEK', verbose = True)
return opt_x_s | 17.5 | 49 | 0.621429 | 24 | 140 | 3.25 | 0.541667 | 0.205128 | 0.25641 | 0.25641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.242857 | 140 | 8 | 50 | 17.5 | 0.735849 | 0.128571 | 0 | 0 | 0 | 0 | 0.046729 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
5ab75873a3c8b28eb0dd0d7210e12d8c50fc10ae | 3,728 | py | Python | results_plots/fall2021/dist_vs_inner_steps_neurips_workshop.py | brando90/Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective | 45c4fabf35d6d8d19e49092e84e8ac9fa55aee8d | [
"MIT"
] | null | null | null | results_plots/fall2021/dist_vs_inner_steps_neurips_workshop.py | brando90/Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective | 45c4fabf35d6d8d19e49092e84e8ac9fa55aee8d | [
"MIT"
] | null | null | null | results_plots/fall2021/dist_vs_inner_steps_neurips_workshop.py | brando90/Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective | 45c4fabf35d6d8d19e49092e84e8ac9fa55aee8d | [
"MIT"
] | null | null | null | # %%
# ml + loss vs inner steps (Sigmoid best val)
import numpy as np
import matplotlib.pyplot as plt
from pylab import MaxNLocator
from pathlib import Path
print('running')
save_plot = True
# save_plot = False
# - data for distance
inner_steps_for_dist = [1, 2, 4, 8, 16, 32]
meta_test_cca = [0.2801, 0.2866, 0.2... | 31.327731 | 142 | 0.72559 | 624 | 3,728 | 4.123397 | 0.238782 | 0.08939 | 0.045472 | 0.04042 | 0.802565 | 0.774582 | 0.774582 | 0.753206 | 0.753206 | 0.740381 | 0 | 0.134627 | 0.115343 | 3,728 | 119 | 143 | 31.327731 | 0.645543 | 0.162554 | 0 | 0.75 | 0 | 0.046875 | 0.177513 | 0.072487 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.046875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5adce3c727491251c9abf4ace3f6cc7ed99e2faf | 18,549 | py | Python | cifar10.py | QFaceblue/keras-yolo3 | cbb83adc103ed80f40e0d8d88a597d72def9dd3c | [
"MIT"
] | null | null | null | cifar10.py | QFaceblue/keras-yolo3 | cbb83adc103ed80f40e0d8d88a597d72def9dd3c | [
"MIT"
] | null | null | null | cifar10.py | QFaceblue/keras-yolo3 | cbb83adc103ed80f40e0d8d88a597d72def9dd3c | [
"MIT"
] | null | null | null | import keras
from keras import backend as K
from keras import optimizers, regularizers
from keras.datasets import cifar10, cifar100
from keras.models import Sequential,Model,load_model
from keras.layers import Conv2D, Dense, Flatten, MaxPooling2D,GlobalAveragePooling2D, Input, Activation,Dropout
from keras.layers.norma... | 36.585799 | 155 | 0.626611 | 2,575 | 18,549 | 4.331262 | 0.111068 | 0.021519 | 0.014346 | 0.012911 | 0.856362 | 0.834125 | 0.823904 | 0.810006 | 0.801937 | 0.801937 | 0 | 0.076645 | 0.238234 | 18,549 | 506 | 156 | 36.658103 | 0.712668 | 0.187234 | 0 | 0.760479 | 0 | 0.017964 | 0.079539 | 0.0468 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050898 | false | 0 | 0.032934 | 0 | 0.146707 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
51ad50f1d91a2099a5a0112f44a6ad1948ec0956 | 113 | py | Python | openselfsup/version.py | yoyoyoohh/PolSAR_SelfSup | 281b40a6500fde5b4837247015edab3a5e32dbfb | [
"Apache-2.0"
] | 1 | 2022-02-16T01:37:17.000Z | 2022-02-16T01:37:17.000Z | openselfsup/version.py | yoyoyoohh/PolSAR_SelfSup | 281b40a6500fde5b4837247015edab3a5e32dbfb | [
"Apache-2.0"
] | null | null | null | openselfsup/version.py | yoyoyoohh/PolSAR_SelfSup | 281b40a6500fde5b4837247015edab3a5e32dbfb | [
"Apache-2.0"
] | null | null | null | # GENERATED VERSION FILE
# TIME: Tue Oct 26 14:07:11 2021
__version__ = '0.3.0+dc45206'
short_version = '0.3.0'
| 18.833333 | 32 | 0.699115 | 21 | 113 | 3.52381 | 0.714286 | 0.216216 | 0.243243 | 0.27027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.242105 | 0.159292 | 113 | 5 | 33 | 22.6 | 0.536842 | 0.469027 | 0 | 0 | 1 | 0 | 0.315789 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
51af1402bd138a0d43f31650c79c2fa00544952d | 22,582 | py | Python | ctplanet/Hydrostatic.py | AlbertoJimenezDiaz/ctplanet | 66651288abfb2c8588aec3bca1af160b1ec1d574 | [
"BSD-3-Clause"
] | 4 | 2019-07-31T13:52:59.000Z | 2020-09-12T06:35:24.000Z | ctplanet/Hydrostatic.py | AlbertoJimenezDiaz/ctplanet | 66651288abfb2c8588aec3bca1af160b1ec1d574 | [
"BSD-3-Clause"
] | null | null | null | ctplanet/Hydrostatic.py | AlbertoJimenezDiaz/ctplanet | 66651288abfb2c8588aec3bca1af160b1ec1d574 | [
"BSD-3-Clause"
] | 4 | 2018-10-30T04:36:55.000Z | 2020-09-12T06:35:32.000Z | '''
Functions for calculating the shape of hydrostatic density interfaces and their
gravitational potential in a planet with a non-hydrostatic lithosphere.
'''
import numpy as np
import scipy.linalg.lapack as lapack
import pyshtools as pysh
# ==== HydrostaticShapeLith ====
def HydrostaticShapeLith(radius, rho, ilit... | 39.273043 | 79 | 0.462227 | 3,158 | 22,582 | 3.281507 | 0.079481 | 0.010422 | 0.024703 | 0.031844 | 0.85757 | 0.835279 | 0.818392 | 0.791759 | 0.7741 | 0.760977 | 0 | 0.059825 | 0.409308 | 22,582 | 574 | 80 | 39.341463 | 0.71707 | 0.262244 | 0 | 0.84438 | 0 | 0 | 0.034185 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005764 | false | 0 | 0.008646 | 0 | 0.020173 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
51d1a6a092ee373d0669a282b65b0270b3008598 | 680 | py | Python | python--exercicios/ex027.py | Eliezer2000/python | 12abb54c6536acb2f36b8f34bf51ec765857eb75 | [
"MIT"
] | null | null | null | python--exercicios/ex027.py | Eliezer2000/python | 12abb54c6536acb2f36b8f34bf51ec765857eb75 | [
"MIT"
] | null | null | null | python--exercicios/ex027.py | Eliezer2000/python | 12abb54c6536acb2f36b8f34bf51ec765857eb75 | [
"MIT"
] | null | null | null | n = str(input('Digite seu nome : ')).strip()
print('Muito prazer em te conhecer ! ')
nome = n.split()
print('O seu primeiro nome é: {}'.format(nome[0]))
print('O seu último nome é: {}'.format(nome[len(nome)-1]))
#n = str(input('Digite seu nome completo : ')).strip()
#print('Olá! Prazer em te conhecer ! ')
#nome = n.s... | 34 | 60 | 0.635294 | 113 | 680 | 3.823009 | 0.247788 | 0.083333 | 0.125 | 0.208333 | 0.900463 | 0.900463 | 0.849537 | 0.849537 | 0.849537 | 0.849537 | 0 | 0.010292 | 0.142647 | 680 | 19 | 61 | 35.789474 | 0.730703 | 0.652941 | 0 | 0 | 0 | 0 | 0.426667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.6 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 8 |
51dc31ed2ec1fa0acd2e376926c9c8b9a24b3c48 | 80 | py | Python | ksa_vat/jinja/utils.py | Craftint/ksa_vat | 1939d4fc1eafc2ce62e3297eeb6dacbdd906c1f8 | [
"MIT"
] | 21 | 2021-07-17T10:24:41.000Z | 2021-12-16T13:29:05.000Z | ksa_vat/jinja/utils.py | Craftint/ksa_vat | 1939d4fc1eafc2ce62e3297eeb6dacbdd906c1f8 | [
"MIT"
] | 7 | 2021-11-03T11:52:45.000Z | 2021-12-28T08:41:54.000Z | ksa_vat/jinja/utils.py | Craftint/ksa_vat | 1939d4fc1eafc2ce62e3297eeb6dacbdd906c1f8 | [
"MIT"
] | 28 | 2021-07-31T08:13:34.000Z | 2022-03-15T06:16:28.000Z | import json
def string_to_json(json_string):
return json.loads(json_string) | 20 | 34 | 0.8 | 13 | 80 | 4.615385 | 0.538462 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 80 | 4 | 34 | 20 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
51f8183ccb834afc1b1fba61b1bca1778ad7e2ca | 106 | py | Python | azure_eventhubs_client/__init__.py | KnockriInc/azure_eventhubs_client | 6c1d63ac1034ea47cf7cf3386348544146557111 | [
"MIT"
] | 1 | 2019-04-03T15:32:36.000Z | 2019-04-03T15:32:36.000Z | build/lib/azure_eventhubs_client/__init__.py | KnockriInc/azure_eventhubs_client | 6c1d63ac1034ea47cf7cf3386348544146557111 | [
"MIT"
] | null | null | null | build/lib/azure_eventhubs_client/__init__.py | KnockriInc/azure_eventhubs_client | 6c1d63ac1034ea47cf7cf3386348544146557111 | [
"MIT"
] | 1 | 2019-03-29T19:39:13.000Z | 2019-03-29T19:39:13.000Z | from azure_eventhubs_client.consumer import Consumer
from azure_eventhubs_client.producer import Producer
| 35.333333 | 52 | 0.90566 | 14 | 106 | 6.571429 | 0.5 | 0.195652 | 0.391304 | 0.521739 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075472 | 106 | 2 | 53 | 53 | 0.938776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
5c5383f5ead4b3035a615afac4215914efe1bcdb | 109 | py | Python | recipes/Python/577269_Import_modules/recipe-577269.py | tdiprima/code | 61a74f5f93da087d27c70b2efe779ac6bd2a3b4f | [
"MIT"
] | 2,023 | 2017-07-29T09:34:46.000Z | 2022-03-24T08:00:45.000Z | recipes/Python/577269_Import_modules/recipe-577269.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 32 | 2017-09-02T17:20:08.000Z | 2022-02-11T17:49:37.000Z | recipes/Python/577269_Import_modules/recipe-577269.py | unhacker/code | 73b09edc1b9850c557a79296655f140ce5e853db | [
"MIT"
] | 780 | 2017-07-28T19:23:28.000Z | 2022-03-25T20:39:41.000Z | relative_to_current = lambda *x: __import__('os').path.join(__import__('os').path.dirname(__file__), *x)
| 54.5 | 108 | 0.715596 | 15 | 109 | 4.266667 | 0.733333 | 0.25 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091743 | 109 | 1 | 109 | 109 | 0.646465 | 0 | 0 | 0 | 0 | 0 | 0.036697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 1 | null | null | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
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