hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7c381806df4f9a8daef26e21cae152813d0d29b1 | 1,548 | py | Python | predict.py | faroit/deep-fireball | b37d08cb5b15359c363e7816fc7c163c1709a5ac | [
"MIT"
] | null | null | null | predict.py | faroit/deep-fireball | b37d08cb5b15359c363e7816fc7c163c1709a5ac | [
"MIT"
] | null | null | null | predict.py | faroit/deep-fireball | b37d08cb5b15359c363e7816fc7c163c1709a5ac | [
"MIT"
] | null | null | null | # elsewhere...
import pandas as pd
from keras.models import model_from_json
import random
import sys
import numpy as np
maxlen = 15
step = 3
df = pd.read_pickle('articles.pandas')
text = str.join(' ', df.text.tolist())
chars = set(text)
print('total chars:', len(chars))
char_indices = dict((c, i) for i, c in enumer... | 25.8 | 67 | 0.646641 | 222 | 1,548 | 4.418919 | 0.400901 | 0.03262 | 0.026504 | 0.014271 | 0.042813 | 0.042813 | 0 | 0 | 0 | 0 | 0 | 0.01793 | 0.207364 | 1,548 | 59 | 68 | 26.237288 | 0.781581 | 0.046512 | 0 | 0.04878 | 0 | 0 | 0.084861 | 0.016293 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.121951 | 0 | 0.170732 | 0.121951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c3890eac8b3049a655feef5c632c8c9d2d8f1d4 | 4,200 | py | Python | tests/simulation/test_container.py | Zavioer/SIR-simulation-IBM-ESI | 45a7b1d4f0e3cec8dcd8284e00f25386b6e77c58 | [
"MIT"
] | null | null | null | tests/simulation/test_container.py | Zavioer/SIR-simulation-IBM-ESI | 45a7b1d4f0e3cec8dcd8284e00f25386b6e77c58 | [
"MIT"
] | 37 | 2020-05-19T20:11:53.000Z | 2020-06-19T11:26:41.000Z | tests/simulation/test_container.py | Zavioer/SIR-simulation-IBM-ESI | 45a7b1d4f0e3cec8dcd8284e00f25386b6e77c58 | [
"MIT"
] | 1 | 2020-05-25T08:10:21.000Z | 2020-05-25T08:10:21.000Z | import unittest
from simulation import container
from simulation import person
class ContainerTestCase(unittest.TestCase):
def setUp(self) -> None:
self.box = container.Container(100, 1000, 300, 1, 0.5)
self.s_instance = person.Person(x=0, y=0, infection_probability=0.25,
... | 49.411765 | 87 | 0.627143 | 513 | 4,200 | 4.808967 | 0.255361 | 0.045399 | 0.028375 | 0.024321 | 0.254966 | 0.19619 | 0.114309 | 0.083502 | 0.083502 | 0.083502 | 0 | 0.036938 | 0.290952 | 4,200 | 84 | 88 | 50 | 0.791471 | 0 | 0 | 0.058824 | 0 | 0 | 0.275476 | 0 | 0 | 0 | 0 | 0 | 0.161765 | 1 | 0.161765 | false | 0 | 0.044118 | 0 | 0.220588 | 0.147059 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c38a782a768dd6c26c320e977f3ea8c8bc5e836 | 1,403 | py | Python | pontoon/base/migrations/0007_auto_20150710_0944.py | Tratty/pontoon | ecb903d72f9274f02137b16669cc3c5859f6329c | [
"BSD-3-Clause"
] | 3 | 2020-01-27T12:26:20.000Z | 2022-02-03T09:56:02.000Z | pontoon/base/migrations/0007_auto_20150710_0944.py | texnoman/pontoon-src | 6b40ac229605e99966c3bdd1510b772c89d4de24 | [
"BSD-3-Clause"
] | 1 | 2021-03-24T12:33:03.000Z | 2021-03-24T12:50:19.000Z | pontoon/base/migrations/0007_auto_20150710_0944.py | texnoman/pontoon-src | 6b40ac229605e99966c3bdd1510b772c89d4de24 | [
"BSD-3-Clause"
] | 4 | 2020-01-26T21:28:43.000Z | 2021-06-10T15:25:19.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import pontoon.base.models
class Migration(migrations.Migration):
dependencies = [
("base", "0006_auto_20150602_0616"),
]
operations = [
migrations.AddField(
model_name="... | 28.06 | 63 | 0.459729 | 122 | 1,403 | 5.131148 | 0.47541 | 0.043131 | 0.054313 | 0.057508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030525 | 0.416251 | 1,403 | 49 | 64 | 28.632653 | 0.733822 | 0.014968 | 0 | 0.209302 | 0 | 0 | 0.115942 | 0.016667 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.069767 | 0 | 0.139535 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c3b77cba219a97b12762ac1a37f632c5f68d380 | 11,331 | py | Python | platformio/project/commands/init.py | ufo2011/platformio-core | 0ceae62701731f8b32c34d7993a34dea34aea59c | [
"Apache-2.0"
] | null | null | null | platformio/project/commands/init.py | ufo2011/platformio-core | 0ceae62701731f8b32c34d7993a34dea34aea59c | [
"Apache-2.0"
] | null | null | null | platformio/project/commands/init.py | ufo2011/platformio-core | 0ceae62701731f8b32c34d7993a34dea34aea59c | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2014-present PlatformIO <contact@platformio.org>
#
# 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 appli... | 31.828652 | 119 | 0.662519 | 1,472 | 11,331 | 4.991848 | 0.280571 | 0.035384 | 0.009526 | 0.009254 | 0.189303 | 0.15841 | 0.126293 | 0.105471 | 0.088051 | 0.078253 | 0 | 0.002177 | 0.2299 | 11,331 | 355 | 120 | 31.91831 | 0.839904 | 0.064602 | 0 | 0.228856 | 0 | 0 | 0.159669 | 0.00328 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054726 | false | 0 | 0.049751 | 0 | 0.129353 | 0.019901 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c3f358dbfca775c5fb0e3b7866f5656395f8320 | 8,749 | py | Python | WebIOPi-0.7.1/python/webiopi/devices/analog/__init__.py | MORIMOTO520212/Arm-crawler | 95dca0ea9485e4c20a0910687362010604331b55 | [
"MIT"
] | 1 | 2020-04-25T00:55:45.000Z | 2020-04-25T00:55:45.000Z | WebIOPi-0.7.1/python/webiopi/devices/analog/__init__.py | MORIMOTO520212/Arm-crawler | 95dca0ea9485e4c20a0910687362010604331b55 | [
"MIT"
] | 4 | 2015-05-28T23:20:13.000Z | 2015-05-28T23:24:01.000Z | services/webiopi/src/python/webiopi/devices/analog/__init__.py | creative-workflow/pi-setup | d6d28cb8d34ef71b1e8ac95dd94099bfad08837a | [
"MIT"
] | 1 | 2022-03-29T01:58:02.000Z | 2022-03-29T01:58:02.000Z | # Copyright 2012-2013 Eric Ptak - trouch.com
#
# 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 l... | 32.403704 | 100 | 0.606927 | 957 | 8,749 | 5.430512 | 0.196447 | 0.042332 | 0.030787 | 0.02309 | 0.374062 | 0.214547 | 0.14085 | 0.100635 | 0.063691 | 0.063691 | 0 | 0.022366 | 0.259001 | 8,749 | 269 | 101 | 32.524164 | 0.779269 | 0.069151 | 0 | 0.287081 | 0 | 0 | 0.113449 | 0.041344 | 0 | 0 | 0 | 0 | 0 | 1 | 0.196172 | false | 0 | 0.009569 | 0.057416 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c3f8ea43badcc3a68b54f56814ef9f940a1de25 | 3,142 | py | Python | osc_choochoo/tests/v1/test_train.py | dtroyer/osc-loco | 57119ab84528933da9cbcd57dcd4f5b842a58186 | [
"Apache-2.0"
] | 1 | 2019-01-15T10:02:06.000Z | 2019-01-15T10:02:06.000Z | osc_choochoo/tests/v1/test_train.py | dtroyer/osc-loco | 57119ab84528933da9cbcd57dcd4f5b842a58186 | [
"Apache-2.0"
] | 1 | 2018-03-03T13:28:09.000Z | 2018-03-03T13:28:09.000Z | osc_choochoo/tests/v1/test_train.py | dtroyer/osc-loco | 57119ab84528933da9cbcd57dcd4f5b842a58186 | [
"Apache-2.0"
] | 1 | 2018-03-03T12:31:24.000Z | 2018-03-03T12:31:24.000Z | # Copyright 2013 Nebula Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 29.092593 | 77 | 0.624761 | 375 | 3,142 | 5.088 | 0.389333 | 0.031447 | 0.023585 | 0.02673 | 0.231656 | 0.175052 | 0.150943 | 0.150943 | 0.111111 | 0.111111 | 0 | 0.007996 | 0.283577 | 3,142 | 107 | 78 | 29.364486 | 0.839627 | 0.237747 | 0 | 0.171875 | 0 | 0 | 0.044229 | 0 | 0 | 0 | 0 | 0 | 0.078125 | 1 | 0.09375 | false | 0 | 0.078125 | 0 | 0.234375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4069a9b6ece4c3708be4cbcbdf02893a94dc6d | 1,134 | py | Python | scripts/firefox-wrapper.py | darioncassel/OmniCrawl | 62317e07340df7eb758a1b8de80679b6d4293d49 | [
"MIT"
] | 2 | 2021-12-02T20:30:23.000Z | 2022-01-05T01:38:45.000Z | scripts/firefox-wrapper.py | darioncassel/OmniCrawl | 62317e07340df7eb758a1b8de80679b6d4293d49 | [
"MIT"
] | null | null | null | scripts/firefox-wrapper.py | darioncassel/OmniCrawl | 62317e07340df7eb758a1b8de80679b6d4293d49 | [
"MIT"
] | 4 | 2021-09-16T01:28:05.000Z | 2022-03-20T21:38:06.000Z | #!/usr/bin/env python3
import sys
from os.path import dirname, abspath, join
import subprocess
# Note this does not resolve symbolic links
# https://stackoverflow.com/a/17806123
FIREFOX_BINARY = join(dirname(abspath(__file__)), 'firefox')
argvs = list(sys.argv)
argvs[0] = FIREFOX_BINARY
# geckdriver will run `firef... | 30.648649 | 83 | 0.686067 | 162 | 1,134 | 4.635802 | 0.425926 | 0.117177 | 0.111851 | 0.063915 | 0.149134 | 0.149134 | 0.090546 | 0.090546 | 0.090546 | 0 | 0 | 0.017641 | 0.200176 | 1,134 | 36 | 84 | 31.5 | 0.810364 | 0.263668 | 0 | 0.26087 | 0 | 0 | 0.050725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.130435 | 0 | 0.130435 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c409487091269b7e314c05627f47667f44be8cd | 37,177 | py | Python | src/pretix/base/payment.py | whiteyhat/pretix | 34d1fcf077a92765cd796d81d1aa6695d4801a9a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/pretix/base/payment.py | whiteyhat/pretix | 34d1fcf077a92765cd796d81d1aa6695d4801a9a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/pretix/base/payment.py | whiteyhat/pretix | 34d1fcf077a92765cd796d81d1aa6695d4801a9a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import json
import logging
from collections import OrderedDict
from decimal import ROUND_HALF_UP, Decimal
from typing import Any, Dict, Union
import pytz
from django import forms
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.dispatch import receiver
from django.fo... | 42.536613 | 124 | 0.63047 | 4,425 | 37,177 | 5.181017 | 0.155706 | 0.009465 | 0.019192 | 0.01012 | 0.365524 | 0.316497 | 0.257524 | 0.229957 | 0.201518 | 0.181235 | 0 | 0.002633 | 0.295236 | 37,177 | 873 | 125 | 42.585338 | 0.872371 | 0.320709 | 0 | 0.399586 | 0 | 0 | 0.162504 | 0.017036 | 0 | 0 | 0 | 0 | 0 | 1 | 0.138716 | false | 0.00207 | 0.060041 | 0.05176 | 0.378882 | 0.00207 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c41415e2c7a8ce5f2d75904be89b903c2cdfef0 | 633 | py | Python | tests/AssertFail/run.py | sag-tgo/EPL_assert_demo | a43541e4472dfab7da6538ae9f220b5e042d158c | [
"Apache-2.0"
] | null | null | null | tests/AssertFail/run.py | sag-tgo/EPL_assert_demo | a43541e4472dfab7da6538ae9f220b5e042d158c | [
"Apache-2.0"
] | null | null | null | tests/AssertFail/run.py | sag-tgo/EPL_assert_demo | a43541e4472dfab7da6538ae9f220b5e042d158c | [
"Apache-2.0"
] | null | null | null | from pysys.basetest import BaseTest
from apama.correlator import CorrelatorHelper
import os
class PySysTest(BaseTest):
def execute(self):
corr = CorrelatorHelper(self, name='correlator')
corr.start(logfile='correlator.log')
corr.injectEPL(os.getenv('APAMA_HOME','') + '/monitors/ManagementImpl.mon')
corr.injec... | 33.315789 | 77 | 0.737757 | 74 | 633 | 6.283784 | 0.513514 | 0.111828 | 0.103226 | 0.090323 | 0.163441 | 0.163441 | 0.163441 | 0 | 0 | 0 | 0 | 0 | 0.094787 | 633 | 18 | 78 | 35.166667 | 0.811518 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 0.118483 | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0.142857 | false | 0 | 0.214286 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c419b5717a91fec1bbd9b0db3fdfc3ceb131303 | 1,231 | py | Python | src/beast/python/beast/env/ReadEnvFile_test.py | Ziftr/stellard | 626514cbbb2c6c2b6844315ca98a2bfcbca0b43d | [
"BSL-1.0"
] | 58 | 2015-01-07T09:10:59.000Z | 2019-07-15T14:34:01.000Z | src/beast/python/beast/env/ReadEnvFile_test.py | Ziftr/stellard | 626514cbbb2c6c2b6844315ca98a2bfcbca0b43d | [
"BSL-1.0"
] | 12 | 2015-01-02T00:01:45.000Z | 2018-04-25T12:35:02.000Z | src/beast/python/beast/env/ReadEnvFile_test.py | Ziftr/stellard | 626514cbbb2c6c2b6844315ca98a2bfcbca0b43d | [
"BSL-1.0"
] | 23 | 2015-01-04T00:13:27.000Z | 2019-02-15T18:01:17.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
from unittest import TestCase
from beast.env.ReadEnvFile import read_env_file
from beast.util import Terminal
Terminal.CAN_CHANGE_COLOR = False
JSON = """
{
"FOO": "foo",
"BAR": "bar bar bar",
"CPPFLAGS": "-std=c++11 -frtti -fno... | 23.673077 | 82 | 0.680747 | 174 | 1,231 | 4.66092 | 0.396552 | 0.066584 | 0.066584 | 0.04439 | 0.477189 | 0.353884 | 0.218249 | 0.218249 | 0.218249 | 0.218249 | 0 | 0.009852 | 0.175467 | 1,231 | 51 | 83 | 24.137255 | 0.789163 | 0 | 0 | 0.051282 | 0 | 0 | 0.421608 | 0 | 0 | 0 | 0 | 0 | 0.102564 | 1 | 0.076923 | false | 0 | 0.102564 | 0 | 0.205128 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c46de4fdbd3dc2c58b659d8b01a5d17658d1622 | 14,736 | py | Python | aiida/cmdline/params/options/test_interactive.py | tomzhang/aiida_core | 949810e9f3daff0f748c5c9aa1dde4f5222bb49b | [
"BSD-2-Clause"
] | 1 | 2019-04-29T12:39:31.000Z | 2019-04-29T12:39:31.000Z | aiida/cmdline/params/options/test_interactive.py | tomzhang/aiida_core | 949810e9f3daff0f748c5c9aa1dde4f5222bb49b | [
"BSD-2-Clause"
] | null | null | null | aiida/cmdline/params/options/test_interactive.py | tomzhang/aiida_core | 949810e9f3daff0f748c5c9aa1dde4f5222bb49b | [
"BSD-2-Clause"
] | null | null | null | """Unit tests for the InteractiveOption."""
from __future__ import absolute_import
import unittest
import click
from click.testing import CliRunner
from click.types import IntParamType
from aiida.cmdline.params.options.interactive import InteractiveOption
from aiida.cmdline.params.options import NON_INTERACTIVE
cla... | 38.984127 | 106 | 0.636401 | 1,688 | 14,736 | 5.454384 | 0.133294 | 0.048224 | 0.04073 | 0.052134 | 0.657978 | 0.612252 | 0.558054 | 0.532638 | 0.480395 | 0.472901 | 0 | 0.007643 | 0.25414 | 14,736 | 377 | 107 | 39.087533 | 0.830043 | 0.244503 | 0 | 0.49537 | 0 | 0 | 0.082059 | 0 | 0 | 0 | 0 | 0 | 0.287037 | 1 | 0.152778 | false | 0 | 0.032407 | 0.00463 | 0.236111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4747750d4783fac45721046885fc982b92a07c | 3,195 | py | Python | scripts/migration/migrate_registered_meta.py | fabmiz/osf.io | 8d86af3f0a6e5388bd5b18383e68e27b65a66247 | [
"Apache-2.0"
] | null | null | null | scripts/migration/migrate_registered_meta.py | fabmiz/osf.io | 8d86af3f0a6e5388bd5b18383e68e27b65a66247 | [
"Apache-2.0"
] | null | null | null | scripts/migration/migrate_registered_meta.py | fabmiz/osf.io | 8d86af3f0a6e5388bd5b18383e68e27b65a66247 | [
"Apache-2.0"
] | null | null | null | """
Changes existing registered_meta on a node to new schema layout
required for the prereg-prize
"""
import json
import sys
import logging
from modularodm import Q
from framework.mongo import database as db
from framework.mongo.utils import from_mongo
from framework.transactions.context import TokuTransaction
from ... | 29.859813 | 111 | 0.576526 | 361 | 3,195 | 4.889197 | 0.34349 | 0.055524 | 0.020397 | 0.013598 | 0.038527 | 0.015864 | 0 | 0 | 0 | 0 | 0 | 0.004682 | 0.331455 | 3,195 | 106 | 112 | 30.141509 | 0.821629 | 0.074178 | 0 | 0.126437 | 0 | 0 | 0.125891 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0.011494 | 0.126437 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c484eb9bf609790d2ba9c1adb147528492648ab | 2,108 | py | Python | graph/tsp.py | pingrunhuang/CodeChallenge | a8e5274e04c47d851836197907266418af4f1a22 | [
"MIT"
] | null | null | null | graph/tsp.py | pingrunhuang/CodeChallenge | a8e5274e04c47d851836197907266418af4f1a22 | [
"MIT"
] | null | null | null | graph/tsp.py | pingrunhuang/CodeChallenge | a8e5274e04c47d851836197907266418af4f1a22 | [
"MIT"
] | null | null | null | """
given a fully connected undirected graph(If no path exists between two cities, adding an arbitrarily long edge will complete the graph without affecting the optimal tour),
find the path with the lowest cost in total for a salesman to travel from a given start vertex
"""
import time
class Edge:
def __init__(sel... | 29.690141 | 171 | 0.576376 | 278 | 2,108 | 4.23741 | 0.31295 | 0.0382 | 0.040747 | 0.025467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012873 | 0.29981 | 2,108 | 71 | 172 | 29.690141 | 0.78523 | 0.182163 | 0 | 0.104167 | 0 | 0 | 0.01489 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145833 | false | 0.020833 | 0.020833 | 0.020833 | 0.3125 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c487be5e97c4669f698df37e679a53c19c84c61 | 515 | py | Python | firstBadVersion.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | firstBadVersion.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | firstBadVersion.py | pflun/learningAlgorithms | 3101e989488dfc8a56f1bf256a1c03a837fe7d97 | [
"MIT"
] | null | null | null | # The isBadVersion API is already defined for you.
# @param version, an integer
# @return a bool
# def isBadVersion(version):
class Solution(object):
def firstBadVersion(self, n):
start = 1
end = n
while start + 1 < end:
mid = start + (end - start) / 2
if isBadVersi... | 22.391304 | 50 | 0.524272 | 56 | 515 | 4.821429 | 0.553571 | 0.044444 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009646 | 0.396117 | 515 | 22 | 51 | 23.409091 | 0.858521 | 0.227184 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4ae67259cc4af329dd35bc62e3ceddb69e3a57 | 7,190 | py | Python | cogs/remind.py | LoganHaug/reminder-bot | 1bb1853b79e0299240a214e947e8bc29ed34e46e | [
"MIT"
] | 2 | 2021-01-02T04:30:54.000Z | 2021-01-02T04:30:54.000Z | cogs/remind.py | LoganHaug/reminder-bot | 1bb1853b79e0299240a214e947e8bc29ed34e46e | [
"MIT"
] | 8 | 2021-01-02T02:06:04.000Z | 2021-03-15T06:05:50.000Z | cogs/remind.py | LoganHaug/reminder-bot | 1bb1853b79e0299240a214e947e8bc29ed34e46e | [
"MIT"
] | 2 | 2021-01-02T01:50:06.000Z | 2021-01-02T20:02:58.000Z | import asyncio
from typing import Union
import datetime
import time
from discord.ext import commands
import yaml
from cogs import checks
import database
import utils
# Loads the repeating interval dictionary
with open("conversions.yml", "r") as conversion_file:
conversion_dict = yaml.load(conversion_file, Loade... | 36.683673 | 362 | 0.568985 | 771 | 7,190 | 5.189364 | 0.246433 | 0.029993 | 0.017996 | 0.025494 | 0.205449 | 0.150462 | 0.132967 | 0.112222 | 0.102224 | 0.07998 | 0 | 0.000211 | 0.339917 | 7,190 | 195 | 363 | 36.871795 | 0.842815 | 0.080668 | 0 | 0.189873 | 0 | 0.006329 | 0.146201 | 0.016383 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012658 | false | 0 | 0.056962 | 0 | 0.075949 | 0.006329 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4b0703a1999f5fa6b05313d2f3c64b1a7c6c84 | 948 | py | Python | setup.py | csengor/toraman_py | 5cb7b39ae073ecc2adcb7cea83b79492ac5aa485 | [
"MIT"
] | 2 | 2020-02-01T08:21:11.000Z | 2021-03-12T13:58:26.000Z | setup.py | csengor/toraman_py | 5cb7b39ae073ecc2adcb7cea83b79492ac5aa485 | [
"MIT"
] | null | null | null | setup.py | csengor/toraman_py | 5cb7b39ae073ecc2adcb7cea83b79492ac5aa485 | [
"MIT"
] | null | null | null | import setuptools
from toraman.version import __version__
with open('README.md', 'r') as input_file:
long_description = input_file.read()
setuptools.setup(
name='toraman',
version=__version__,
author='Çağatay Onur Şengör',
author_email='contact@csengor.com',
description='A computer-assisted t... | 30.580645 | 116 | 0.667722 | 99 | 948 | 6.20202 | 0.69697 | 0.09772 | 0.087948 | 0.09772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002639 | 0.200422 | 948 | 30 | 117 | 31.6 | 0.807388 | 0 | 0 | 0.074074 | 0 | 0 | 0.415612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.074074 | 0 | 0.074074 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4b2f5648b8aa2f586e693897cf20f646266eed | 457 | py | Python | declarations_site/cms_pages/migrations/0015_auto_20150615_0201.py | li-ar/declarations.com.ua | 343cd86cc5a4bd895f2859ed896728f6416ac223 | [
"MIT"
] | 32 | 2015-04-01T15:17:35.000Z | 2021-05-02T20:46:33.000Z | declarations_site/cms_pages/migrations/0015_auto_20150615_0201.py | li-ar/declarations.com.ua | 343cd86cc5a4bd895f2859ed896728f6416ac223 | [
"MIT"
] | 52 | 2015-03-23T21:37:04.000Z | 2022-02-10T07:27:13.000Z | declarations_site/cms_pages/migrations/0015_auto_20150615_0201.py | li-ar/declarations.com.ua | 343cd86cc5a4bd895f2859ed896728f6416ac223 | [
"MIT"
] | 18 | 2015-03-16T22:10:44.000Z | 2021-11-01T12:56:12.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('cms_pages', '0014_homepage_news_count'),
]
operations = [
migrations.AlterField(
model_name='newspage',
... | 21.761905 | 67 | 0.608315 | 44 | 457 | 6.045455 | 0.795455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015106 | 0.275711 | 457 | 20 | 68 | 22.85 | 0.78852 | 0.045952 | 0 | 0 | 0 | 0 | 0.110599 | 0.0553 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4b6fc1c38e59243da6f002769c9090efca9c53 | 4,112 | py | Python | tests/models/test_grad_norm.py | nightlessbaron/pytorch-lightning | 239bea5c29cef0d1a0cfb319de5dbc9227aa2a53 | [
"Apache-2.0"
] | 3 | 2021-01-28T14:04:17.000Z | 2021-09-08T12:00:11.000Z | tests/models/test_grad_norm.py | nightlessbaron/pytorch-lightning | 239bea5c29cef0d1a0cfb319de5dbc9227aa2a53 | [
"Apache-2.0"
] | 8 | 2020-10-27T22:39:24.000Z | 2021-01-24T16:41:34.000Z | tests/models/test_grad_norm.py | nightlessbaron/pytorch-lightning | 239bea5c29cef0d1a0cfb319de5dbc9227aa2a53 | [
"Apache-2.0"
] | 1 | 2022-03-21T18:37:54.000Z | 2022-03-21T18:37:54.000Z | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 35.756522 | 115 | 0.674611 | 582 | 4,112 | 4.580756 | 0.369416 | 0.030008 | 0.020255 | 0.031508 | 0.046512 | 0.025506 | 0 | 0 | 0 | 0 | 0 | 0.011017 | 0.227383 | 4,112 | 114 | 116 | 36.070175 | 0.82814 | 0.260214 | 0 | 0.057143 | 0 | 0 | 0.038474 | 0.008955 | 0 | 0 | 0 | 0 | 0.071429 | 1 | 0.071429 | false | 0 | 0.114286 | 0 | 0.242857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4b952636f3e94167bbd00880673a8dc5635803 | 2,278 | py | Python | deep_speech_2/decoder.py | Canpio/models | 72874de98fba93592edee42b776e3d876b1d5504 | [
"Apache-2.0"
] | 1 | 2020-11-19T14:47:28.000Z | 2020-11-19T14:47:28.000Z | deep_speech_2/decoder.py | JiayiFeng/models | 72874de98fba93592edee42b776e3d876b1d5504 | [
"Apache-2.0"
] | null | null | null | deep_speech_2/decoder.py | JiayiFeng/models | 72874de98fba93592edee42b776e3d876b1d5504 | [
"Apache-2.0"
] | null | null | null | """
CTC-like decoder utilitis.
"""
from itertools import groupby
import numpy as np
def ctc_best_path_decode(probs_seq, vocabulary):
"""
Best path decoding, also called argmax decoding or greedy decoding.
Path consisting of the most probable tokens are further post-processed to
remove consecutive... | 37.344262 | 79 | 0.68525 | 296 | 2,278 | 5.158784 | 0.327703 | 0.057629 | 0.027505 | 0.047151 | 0.436149 | 0.436149 | 0.285527 | 0.239686 | 0.239686 | 0.239686 | 0 | 0.003486 | 0.244513 | 2,278 | 60 | 80 | 37.966667 | 0.883789 | 0.513608 | 0 | 0 | 0 | 0 | 0.139511 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.105263 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4d61daea2ec370e51d0a70c14c812f08cd827f | 1,491 | py | Python | setup.py | swtwsk/dbt-airflow-manifest-parser | fae0049fb8ff3bc7a78488a48a31023f67fbeef3 | [
"Apache-2.0"
] | null | null | null | setup.py | swtwsk/dbt-airflow-manifest-parser | fae0049fb8ff3bc7a78488a48a31023f67fbeef3 | [
"Apache-2.0"
] | null | null | null | setup.py | swtwsk/dbt-airflow-manifest-parser | fae0049fb8ff3bc7a78488a48a31023f67fbeef3 | [
"Apache-2.0"
] | null | null | null | """dbt_airflow_factory module."""
from setuptools import find_packages, setup
with open("README.md") as f:
README = f.read()
# Runtime Requirements.
INSTALL_REQUIRES = ["pytimeparse==1.1.8"]
# Dev Requirements
EXTRA_REQUIRE = {
"tests": [
"pytest>=6.2.2, <7.0.0",
"pytest-cov>=2.8.0, <3.0.0",... | 28.132075 | 78 | 0.613011 | 195 | 1,491 | 4.584615 | 0.517949 | 0.044743 | 0.057047 | 0.058166 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052676 | 0.210597 | 1,491 | 52 | 79 | 28.673077 | 0.706882 | 0.044936 | 0 | 0.068182 | 0 | 0 | 0.453776 | 0.073395 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.022727 | 0 | 0.022727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4f383bc1d3e78bec978541f8102910be2e6494 | 1,489 | py | Python | karabo_bridge/tests/test_serialize.py | European-XFEL/karabo-bridge-py | c4b2847b837ae7156640cb8f787fcf96ac7f632e | [
"BSD-3-Clause"
] | 6 | 2018-01-23T15:20:43.000Z | 2022-02-28T13:20:50.000Z | karabo_bridge/tests/test_serialize.py | European-XFEL/karabo-bridge | a56f2bb57eecd49ebcdc9077234df8e76e725a6f | [
"BSD-3-Clause"
] | 43 | 2018-01-24T16:12:49.000Z | 2021-05-27T14:56:42.000Z | karabo_bridge/tests/test_serialize.py | European-XFEL/karabo-bridge | a56f2bb57eecd49ebcdc9077234df8e76e725a6f | [
"BSD-3-Clause"
] | 4 | 2018-03-04T10:09:43.000Z | 2018-05-03T14:49:27.000Z | import numpy as np
import pytest
from karabo_bridge import serialize, deserialize
from .utils import compare_nested_dict
def test_serialize(data, protocol_version):
msg = serialize(data, protocol_version=protocol_version)
assert isinstance(msg, list)
d, m = deserialize(msg)
compare_nested_dict(data... | 31.020833 | 87 | 0.715917 | 182 | 1,489 | 5.637363 | 0.258242 | 0.190058 | 0.092593 | 0.109162 | 0.589669 | 0.535088 | 0.464912 | 0.432749 | 0.432749 | 0.432749 | 0 | 0.035513 | 0.167898 | 1,489 | 47 | 88 | 31.680851 | 0.792575 | 0 | 0 | 0.258065 | 0 | 0 | 0.106783 | 0 | 0 | 0 | 0 | 0 | 0.225806 | 1 | 0.16129 | false | 0 | 0.129032 | 0 | 0.290323 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c4fc346cb91cacd807ee64d79b21152c687d93c | 2,029 | py | Python | indico/testing/fixtures/util.py | bpedersen2/indico | 8410ee5f8f8530a8692f3dd2d4015c3074b0aa30 | [
"MIT"
] | 1 | 2021-12-27T17:51:27.000Z | 2021-12-27T17:51:27.000Z | indico/testing/fixtures/util.py | bpedersen2/indico | 8410ee5f8f8530a8692f3dd2d4015c3074b0aa30 | [
"MIT"
] | 5 | 2021-04-08T19:26:47.000Z | 2022-01-24T16:30:18.000Z | indico/testing/fixtures/util.py | bpedersen2/indico | 8410ee5f8f8530a8692f3dd2d4015c3074b0aa30 | [
"MIT"
] | 2 | 2019-02-24T17:29:10.000Z | 2021-04-08T19:23:27.000Z | # This file is part of Indico.
# Copyright (C) 2002 - 2021 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
import inspect
from datetime import datetime
import freezegun
import pytest
from sqlalchemy import DateTi... | 32.725806 | 80 | 0.706752 | 258 | 2,029 | 5.399225 | 0.468992 | 0.028715 | 0.022972 | 0.040201 | 0.041637 | 0.041637 | 0 | 0 | 0 | 0 | 0 | 0.005009 | 0.212913 | 2,029 | 61 | 81 | 33.262295 | 0.867251 | 0.383933 | 0 | 0.066667 | 0 | 0 | 0.021685 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.2 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c508b5e90ac0bb6b42082e2791baf6ee6cd6d24 | 704 | py | Python | config.py | RomashkaGang/Update_Checker | 1763ec5d8110462a72f5015abdc5c5be3e3c9498 | [
"MIT"
] | null | null | null | config.py | RomashkaGang/Update_Checker | 1763ec5d8110462a72f5015abdc5c5be3e3c9498 | [
"MIT"
] | null | null | null | config.py | RomashkaGang/Update_Checker | 1763ec5d8110462a72f5015abdc5c5be3e3c9498 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# encoding: utf-8
import os
# 是否启用调试 若启用 将不再忽略检查过程中发生的任何异常
# 建议在开发环境中启用 在生产环境中禁用
DEBUG_ENABLE = False
# SQLite 数据库文件名
SQLITE_FILE = "saved.db"
# 日志文件名
LOG_FILE = "log.txt"
# 是否启用日志
ENABLE_LOGGER = True
# 循环检查的间隔时间(默认: 180分钟)
LOOP_CHECK_INTERVAL = 180 * 60
# 代理服务器
PROXIES = "127.0.0.1:1080"... | 16 | 88 | 0.681818 | 101 | 704 | 4.584158 | 0.663366 | 0.030238 | 0.051836 | 0.060475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042808 | 0.170455 | 704 | 43 | 89 | 16.372093 | 0.75 | 0.285511 | 0 | 0 | 0 | 0 | 0.179959 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c51d615d63f8eb8639b0e23a11927b8ddf8f7ce | 567 | py | Python | scripts/count.py | hellocit/kadai2 | 896acc2394ea522d4b0d32db31321aea5b5f5dbd | [
"BSD-3-Clause"
] | null | null | null | scripts/count.py | hellocit/kadai2 | 896acc2394ea522d4b0d32db31321aea5b5f5dbd | [
"BSD-3-Clause"
] | null | null | null | scripts/count.py | hellocit/kadai2 | 896acc2394ea522d4b0d32db31321aea5b5f5dbd | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import rospy
from std_msgs.msg import Int32
import time
rospy.init_node('count') # ノード名「count」に設定
pub = rospy.Publisher('count_up', Int32, queue_size=1) # パブリッシャ「count_up」を作成
rate = rospy.Rate(10) # 10Hzで実行
n = 0
time.sleep(2)
w... | 24.652174 | 77 | 0.502646 | 76 | 567 | 3.671053 | 0.605263 | 0.050179 | 0.078853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050704 | 0.373898 | 567 | 22 | 78 | 25.772727 | 0.735211 | 0.112875 | 0 | 0.111111 | 0 | 0 | 0.068136 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c52d32a4a5ef2c93209163ebb29e7bf07a94aa5 | 2,028 | py | Python | rx/concurrency/timeoutscheduler.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2018-11-16T09:07:13.000Z | 2018-11-16T09:07:13.000Z | rx/concurrency/timeoutscheduler.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | rx/concurrency/timeoutscheduler.py | yutiansut/RxPY | c3bbba77f9ebd7706c949141725e220096deabd4 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-05-08T08:23:08.000Z | 2020-05-08T08:23:08.000Z | import logging
from threading import Timer
from datetime import timedelta
from rx.core import Scheduler, Disposable
from rx.disposables import SingleAssignmentDisposable, CompositeDisposable
from .schedulerbase import SchedulerBase
log = logging.getLogger("Rx")
class TimeoutScheduler(SchedulerBase):
"""A sched... | 28.971429 | 83 | 0.668146 | 208 | 2,028 | 6.461538 | 0.298077 | 0.057292 | 0.033482 | 0.053571 | 0.480655 | 0.459821 | 0.459821 | 0.459821 | 0.459821 | 0.427083 | 0 | 0.001299 | 0.240631 | 2,028 | 69 | 84 | 29.391304 | 0.871429 | 0.103057 | 0 | 0.418605 | 0 | 0 | 0.00723 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.186047 | false | 0 | 0.139535 | 0 | 0.465116 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c53272867356ba8303ec22e79720d622e10756c | 2,330 | py | Python | vgazer/version/custom_checker/inputproto.py | edomin/vgazer | 3ffe64f2517cbfbe0b0292bacc9fbf7391687e76 | [
"CC0-1.0"
] | 2 | 2020-10-09T13:51:04.000Z | 2020-11-11T12:29:41.000Z | vgazer/version/custom_checker/inputproto.py | edomin/vgazer | 3ffe64f2517cbfbe0b0292bacc9fbf7391687e76 | [
"CC0-1.0"
] | null | null | null | vgazer/version/custom_checker/inputproto.py | edomin/vgazer | 3ffe64f2517cbfbe0b0292bacc9fbf7391687e76 | [
"CC0-1.0"
] | null | null | null | import requests
from bs4 import BeautifulSoup
def Check(auth, mirrors):
response = requests.get("https://www.x.org/releases/individual/proto/")
html = response.content.decode("utf-8")
parsedHtml = BeautifulSoup(html, "html.parser")
links = parsedHtml.find_all("a")
maxVersionMajor = -1
maxVers... | 40.877193 | 76 | 0.574249 | 198 | 2,330 | 6.752525 | 0.30303 | 0.047868 | 0.048616 | 0.052356 | 0.564697 | 0.507853 | 0.507853 | 0.507853 | 0.489155 | 0.489155 | 0 | 0.016466 | 0.322318 | 2,330 | 56 | 77 | 41.607143 | 0.830272 | 0 | 0 | 0.431373 | 0 | 0 | 0.053219 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.039216 | 0 | 0.078431 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c53ef04b71561a704af8d84b7b218d0cc32e017 | 11,781 | py | Python | src/pandas_profiling/model/summary_helpers.py | briangrahamww/pandas-profiling | 62f8e3fd81720d444041069191c4aacd03d79ad5 | [
"MIT"
] | null | null | null | src/pandas_profiling/model/summary_helpers.py | briangrahamww/pandas-profiling | 62f8e3fd81720d444041069191c4aacd03d79ad5 | [
"MIT"
] | 4 | 2021-11-01T15:17:07.000Z | 2022-01-26T15:22:15.000Z | src/pandas_profiling/model/summary_helpers.py | briangrahamww/pandas-profiling | 62f8e3fd81720d444041069191c4aacd03d79ad5 | [
"MIT"
] | null | null | null | import os
import string
from collections import Counter
from datetime import datetime
from functools import partial
from pathlib import Path
from typing import Optional
import numpy as np
import pandas as pd
from scipy.stats.stats import chisquare
from tangled_up_in_unicode import block, block_abbr, categor... | 31.5 | 88 | 0.641881 | 1,473 | 11,781 | 4.898846 | 0.154786 | 0.032428 | 0.023559 | 0.02439 | 0.301414 | 0.221868 | 0.173503 | 0.114468 | 0.110588 | 0.075111 | 0 | 0.001011 | 0.244037 | 11,781 | 373 | 89 | 31.58445 | 0.80923 | 0.097275 | 0 | 0.111607 | 0 | 0 | 0.108726 | 0.021665 | 0 | 0 | 0 | 0.005362 | 0 | 1 | 0.075893 | false | 0 | 0.058036 | 0.004464 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c54e5deea62f99049023a90de0d70c094863c10 | 10,143 | py | Python | inverse_warp.py | ZephyrII/competitive_colaboration | a557d1e23ef2c0b8e3794f085a79bfffb860f9df | [
"MIT"
] | 357 | 2019-03-12T07:17:32.000Z | 2022-03-24T14:13:24.000Z | inverse_warp.py | DevLooptt/SJTU-CS386-2021Fall-DIP-Project | 2167e089be80ca01911ba55c07b83c9f26f147e7 | [
"MIT"
] | 27 | 2019-03-11T19:16:11.000Z | 2021-05-30T13:30:19.000Z | inverse_warp.py | DevLooptt/SJTU-CS386-2021Fall-DIP-Project | 2167e089be80ca01911ba55c07b83c9f26f147e7 | [
"MIT"
] | 66 | 2019-03-27T14:16:22.000Z | 2021-11-11T12:40:33.000Z | # Author: Anurag Ranjan
# Copyright (c) 2019, Anurag Ranjan
# All rights reserved.
# based on github.com/ClementPinard/SfMLearner-Pytorch
from __future__ import division
import torch
from torch.autograd import Variable
pixel_coords = None
def set_id_grid(depth):
global pixel_coords
b, h, w = depth.size()
... | 35.714789 | 136 | 0.602484 | 1,638 | 10,143 | 3.592796 | 0.159341 | 0.015633 | 0.005607 | 0.006797 | 0.425998 | 0.383857 | 0.357009 | 0.357009 | 0.353271 | 0.337978 | 0 | 0.036207 | 0.234842 | 10,143 | 283 | 137 | 35.840989 | 0.722072 | 0.242729 | 0 | 0.296053 | 0 | 0 | 0.028659 | 0 | 0 | 0 | 0 | 0 | 0.019737 | 1 | 0.078947 | false | 0 | 0.019737 | 0 | 0.164474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c5685982f284836ad84a3186b0e3af7e951a8fa | 7,853 | py | Python | lingvo/core/egdd.py | ramonsanabria/lingvo | f38dc3801d36ed08a4117d4a66e6f1f10f76909d | [
"Apache-2.0"
] | null | null | null | lingvo/core/egdd.py | ramonsanabria/lingvo | f38dc3801d36ed08a4117d4a66e6f1f10f76909d | [
"Apache-2.0"
] | null | null | null | lingvo/core/egdd.py | ramonsanabria/lingvo | f38dc3801d36ed08a4117d4a66e6f1f10f76909d | [
"Apache-2.0"
] | null | null | null | # Lint as: python2, python3
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | 42.448649 | 80 | 0.696676 | 1,078 | 7,853 | 4.765306 | 0.227273 | 0.072416 | 0.031147 | 0.031341 | 0.248783 | 0.158848 | 0.108624 | 0.079034 | 0.068912 | 0.053728 | 0 | 0.009359 | 0.210875 | 7,853 | 184 | 81 | 42.679348 | 0.81959 | 0.356042 | 0 | 0.019048 | 0 | 0 | 0.017705 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.104762 | 0.028571 | 0.219048 | 0.009524 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c56c7d2316646a3222e3085d34d2f51b63f5dac | 3,556 | py | Python | examples/nn_cudamat.py | cloudspectatordevelopment/cudamat | d26cf019a7855077b7d4344ae1a3202a156c5170 | [
"BSD-3-Clause"
] | 526 | 2015-01-05T14:33:10.000Z | 2022-03-09T12:41:37.000Z | examples/nn_cudamat.py | cloudspectatordevelopment/cudamat | d26cf019a7855077b7d4344ae1a3202a156c5170 | [
"BSD-3-Clause"
] | 71 | 2015-01-01T01:03:09.000Z | 2021-10-01T06:57:07.000Z | examples/nn_cudamat.py | cloudspectatordevelopment/cudamat | d26cf019a7855077b7d4344ae1a3202a156c5170 | [
"BSD-3-Clause"
] | 139 | 2015-01-13T21:23:38.000Z | 2022-02-24T03:26:34.000Z | # This file shows how to implement a single hidden layer neural network for
# performing binary classification on the GPU using cudamat.
from __future__ import division
import pdb
import time
import numpy as np
import cudamat as cm
from cudamat import learn as cl
import util
# initialize CUDA
cm.cublas_init()
# load... | 26.537313 | 80 | 0.683071 | 594 | 3,556 | 3.875421 | 0.240741 | 0.050825 | 0.013032 | 0.017376 | 0.256733 | 0.172459 | 0.144222 | 0.100782 | 0.071242 | 0.071242 | 0 | 0.030892 | 0.18982 | 3,556 | 133 | 81 | 26.736842 | 0.768136 | 0.188695 | 0 | 0.135135 | 0 | 0 | 0.03359 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.094595 | 0 | 0.094595 | 0.054054 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c57f754fa08c4237dd780441aaf7916aa4b730c | 3,530 | py | Python | tests/test_publish.py | oarepo/oarepo-references-draft | 7e5ad4225c4ace9781d5de952c3765a65b33fd8e | [
"MIT"
] | null | null | null | tests/test_publish.py | oarepo/oarepo-references-draft | 7e5ad4225c4ace9781d5de952c3765a65b33fd8e | [
"MIT"
] | null | null | null | tests/test_publish.py | oarepo/oarepo-references-draft | 7e5ad4225c4ace9781d5de952c3765a65b33fd8e | [
"MIT"
] | null | null | null | import uuid
from invenio_indexer.api import RecordIndexer
from invenio_pidstore.models import PersistentIdentifier, PIDStatus
from invenio_records_draft.api import RecordContext
from invenio_records_draft.proxies import current_drafts
from invenio_search import RecordsSearch, current_search, current_search_client
from... | 40.574713 | 99 | 0.608215 | 380 | 3,530 | 5.413158 | 0.236842 | 0.03403 | 0.046184 | 0.038892 | 0.457948 | 0.424404 | 0.403986 | 0.376276 | 0.257657 | 0.22071 | 0 | 0.026235 | 0.265722 | 3,530 | 86 | 100 | 41.046512 | 0.767361 | 0 | 0 | 0.178082 | 0 | 0 | 0.136261 | 0.021246 | 0 | 0 | 0 | 0 | 0.068493 | 1 | 0.013699 | false | 0 | 0.109589 | 0 | 0.123288 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c591440c5e8dee3c070bc7ca52d3ba19f2b4743 | 5,580 | py | Python | examples/ROS/tiscamera.py | xiaotiansf/tiscamera | 8451449788f7429621240e2bbce065d65c5ac10e | [
"Apache-2.0"
] | null | null | null | examples/ROS/tiscamera.py | xiaotiansf/tiscamera | 8451449788f7429621240e2bbce065d65c5ac10e | [
"Apache-2.0"
] | null | null | null | examples/ROS/tiscamera.py | xiaotiansf/tiscamera | 8451449788f7429621240e2bbce065d65c5ac10e | [
"Apache-2.0"
] | null | null | null | import os
import subprocess
from collections import namedtuple
import gi
gi.require_version("Gst", "1.0")
gi.require_version("Tcam", "0.1")
from gi.repository import Tcam, Gst, GLib, GObject
DeviceInfo = namedtuple("DeviceInfo", "status name identifier connection_type")
CameraProperty = namedtuple("CameraProperty", ... | 36.953642 | 170 | 0.624014 | 707 | 5,580 | 4.837341 | 0.292786 | 0.042105 | 0.035088 | 0.019006 | 0.398246 | 0.371637 | 0.33655 | 0.30731 | 0.263158 | 0.236257 | 0 | 0.01609 | 0.264875 | 5,580 | 150 | 171 | 37.2 | 0.81765 | 0.248208 | 0 | 0.192308 | 0 | 0.076923 | 0.251469 | 0.093279 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0.012821 | 0.064103 | 0 | 0.192308 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c59c1fafc0db31d12d2731c296964f8cac7b7ce | 274 | py | Python | helpers/config.py | bertrand-caron/cv_blog_flask | ce779db31805f0b1a7bbc9a6f09a7d3fe1af74b2 | [
"MIT"
] | null | null | null | helpers/config.py | bertrand-caron/cv_blog_flask | ce779db31805f0b1a7bbc9a6f09a7d3fe1af74b2 | [
"MIT"
] | null | null | null | helpers/config.py | bertrand-caron/cv_blog_flask | ce779db31805f0b1a7bbc9a6f09a7d3fe1af74b2 | [
"MIT"
] | null | null | null | from typing import Dict, Any
from yaml import load
def get_config() -> Dict[str, Any]:
try:
return load(open('config/config.yml').read())
except Exception as e:
raise Exception('ERROR: Missing config/config.yml file.') from e
CONFIG = get_config()
| 24.909091 | 72 | 0.671533 | 40 | 274 | 4.55 | 0.6 | 0.098901 | 0.164835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.208029 | 274 | 10 | 73 | 27.4 | 0.83871 | 0 | 0 | 0 | 0 | 0 | 0.20073 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c59df650fcdcb09e11e3c4ab2f95de326942e41 | 4,758 | py | Python | raman/unmixing.py | falckt/raman | 8f9fae0e211dd49cebaba98e71787bb663be8fcf | [
"BSD-3-Clause"
] | 1 | 2020-05-21T11:56:32.000Z | 2020-05-21T11:56:32.000Z | raman/unmixing.py | falckt/raman | 8f9fae0e211dd49cebaba98e71787bb663be8fcf | [
"BSD-3-Clause"
] | null | null | null | raman/unmixing.py | falckt/raman | 8f9fae0e211dd49cebaba98e71787bb663be8fcf | [
"BSD-3-Clause"
] | null | null | null | # Author: Tillmann Falck <tf-raman@lucidus.de>
#
# License: BSD 3 clause
#
# SPDX-License-Identifier: BSD-3-Clause
import collections
from itertools import product
import cvxpy as cp
import numpy as np
def sunsal_tv(A, Y, lambda_1, lambda_tv, sweep='prod', tv_type='iso', additional_constraint='none'):
r"""
S... | 34.985294 | 125 | 0.640395 | 692 | 4,758 | 4.254335 | 0.316474 | 0.03091 | 0.022079 | 0.02038 | 0.071332 | 0.021739 | 0.021739 | 0.016984 | 0 | 0 | 0 | 0.025719 | 0.240017 | 4,758 | 135 | 126 | 35.244444 | 0.78844 | 0.464061 | 0 | 0.147541 | 0 | 0 | 0.07315 | 0 | 0 | 0 | 0 | 0 | 0.016393 | 1 | 0.016393 | false | 0 | 0.065574 | 0 | 0.114754 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c5c4475e9ffb17b4a7ed0975ab0f7646445b8ba | 4,011 | py | Python | account.py | MaherClinc/stockly-bs | 4a2c5741673b85bee9100afef0b404520cb10b5d | [
"MIT"
] | null | null | null | account.py | MaherClinc/stockly-bs | 4a2c5741673b85bee9100afef0b404520cb10b5d | [
"MIT"
] | null | null | null | account.py | MaherClinc/stockly-bs | 4a2c5741673b85bee9100afef0b404520cb10b5d | [
"MIT"
] | null | null | null | from sqlalchemy import exc
from sqlalchemy.sql.expression import func
from models import Watchlist, Portfolio, Activity
from app import db
import metric
def buy_stock(ticker, units):
unit_price = metric.get_price(ticker)
total_price = units * unit_price
max_id = db.session.query(func.max(Activity.activity... | 36.463636 | 126 | 0.667913 | 518 | 4,011 | 4.978764 | 0.15251 | 0.054285 | 0.038387 | 0.032571 | 0.651415 | 0.651415 | 0.61962 | 0.59209 | 0.59209 | 0.538969 | 0 | 0.006993 | 0.215657 | 4,011 | 109 | 127 | 36.798165 | 0.812778 | 0 | 0 | 0.448276 | 0 | 0 | 0.044933 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.057471 | 0 | 0.310345 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c5c6bcf1d0acee591337a1dbb0080fdcf270c1f | 3,175 | py | Python | scripts/addons/kekit/ke_fit2grid.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2020-04-16T22:12:40.000Z | 2022-01-22T17:18:45.000Z | scripts/addons/kekit/ke_fit2grid.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | null | null | null | scripts/addons/kekit/ke_fit2grid.py | Tilapiatsu/blender-custom_conf | 05592fedf74e4b7075a6228b8448a5cda10f7753 | [
"MIT"
] | 2 | 2019-05-16T04:01:09.000Z | 2020-08-25T11:42:26.000Z | bl_info = {
"name": "ke_fit2grid",
"author": "Kjell Emanuelsson",
"category": "Modeling",
"version": (1, 0, 2),
"blender": (2, 80, 0),
}
import bpy
import bmesh
from .ke_utils import get_loops, correct_normal, average_vector
from mathutils import Vector, Matrix
def fit_to_grid(co, grid):
x, y,... | 31.75 | 102 | 0.521575 | 370 | 3,175 | 4.294595 | 0.345946 | 0.031466 | 0.035242 | 0.055381 | 0.14034 | 0.028949 | 0 | 0 | 0 | 0 | 0 | 0.013236 | 0.309921 | 3,175 | 99 | 103 | 32.070707 | 0.712004 | 0.072756 | 0 | 0.084507 | 0 | 0 | 0.127891 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070423 | false | 0 | 0.056338 | 0.014085 | 0.253521 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c5e0af3e6fbbe4ea83ab673bc82739437ec8f74 | 453 | py | Python | python/day5-1.py | Aerdan/adventcode-2020 | 83120aa8c7fc9d1f2d34780610401e3c6d4f583b | [
"BSD-1-Clause"
] | null | null | null | python/day5-1.py | Aerdan/adventcode-2020 | 83120aa8c7fc9d1f2d34780610401e3c6d4f583b | [
"BSD-1-Clause"
] | null | null | null | python/day5-1.py | Aerdan/adventcode-2020 | 83120aa8c7fc9d1f2d34780610401e3c6d4f583b | [
"BSD-1-Clause"
] | null | null | null | #!/usr/bin/env python3
def binary(code, max, bits):
ret = []
for i in range(max):
ret.append(bits[code[i]])
return int(''.join(ret), base=2)
mid = 0
with open('input5.txt') as f:
for line in f.readlines():
line = line[:-1]
row = binary(line[:7], 7, {'F': '0', 'B': '1'})
... | 19.695652 | 55 | 0.487859 | 73 | 453 | 3.027397 | 0.589041 | 0.090498 | 0.099548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044025 | 0.298013 | 453 | 22 | 56 | 20.590909 | 0.650943 | 0.046358 | 0 | 0 | 0 | 0 | 0.04186 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0 | 0 | 0.142857 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c5fa2ddc156126b4dccbe0c281c6059666eccf4 | 501 | py | Python | dummy_server.py | dpmkl/heimdall | 184f169f0be9f6b6b708364725f5db8b1f249d9c | [
"MIT"
] | null | null | null | dummy_server.py | dpmkl/heimdall | 184f169f0be9f6b6b708364725f5db8b1f249d9c | [
"MIT"
] | null | null | null | dummy_server.py | dpmkl/heimdall | 184f169f0be9f6b6b708364725f5db8b1f249d9c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import SimpleHTTPServer
import SocketServer
import logging
PORT = 8000
class GetHandler(SimpleHTTPServer.SimpleHTTPRequestHandler):
def do_GET(self):
self.send_response(200)
self.send_header('Content-type','text/html')
self.end_headers()
self.wfile.write("Hel... | 25.05 | 64 | 0.682635 | 59 | 501 | 5.711864 | 0.745763 | 0.047478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019802 | 0.193613 | 501 | 20 | 65 | 25.05 | 0.814356 | 0.03992 | 0 | 0 | 0 | 0 | 0.081081 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c605332955c4b043be9f4d88d8eb7ca6bb505c8 | 934 | py | Python | scripts/49-cat-logs.py | jmviz/xd | f905e5c61b2835073b19cc3fa0d6917432fa7ece | [
"MIT"
] | 179 | 2016-03-05T03:14:56.000Z | 2022-02-12T22:48:55.000Z | scripts/49-cat-logs.py | jmviz/xd | f905e5c61b2835073b19cc3fa0d6917432fa7ece | [
"MIT"
] | 24 | 2016-02-14T07:43:42.000Z | 2021-12-14T01:09:54.000Z | scripts/49-cat-logs.py | jmviz/xd | f905e5c61b2835073b19cc3fa0d6917432fa7ece | [
"MIT"
] | 25 | 2016-02-19T20:35:03.000Z | 2022-01-31T09:15:44.000Z | #!/usr/bin/env python3
# Usage:
# $0 -o log.txt products/
#
# concatenates .log files (even those in subdirs or .zip) and combines into a single combined.log
from xdfile.utils import find_files_with_time, open_output, get_args
import boto3
# from boto.s3.connection import S3Connection
import os
def main():
a... | 29.1875 | 121 | 0.671306 | 140 | 934 | 4.371429 | 0.578571 | 0.058824 | 0.042484 | 0.055556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019894 | 0.192719 | 934 | 31 | 122 | 30.129032 | 0.791777 | 0.275161 | 0 | 0 | 0 | 0 | 0.113772 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.2 | 0 | 0.266667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c62e1ba59e97f238e09a86895f6c890c24d960e | 5,819 | py | Python | CLIP-ViL-Direct/vqa/pythia_clip_grid_feature.py | HermannLiang/CLIP-ViL | 49c28bc5ece1aacfcbfd9c8810db70663ca0516a | [
"MIT"
] | null | null | null | CLIP-ViL-Direct/vqa/pythia_clip_grid_feature.py | HermannLiang/CLIP-ViL | 49c28bc5ece1aacfcbfd9c8810db70663ca0516a | [
"MIT"
] | null | null | null | CLIP-ViL-Direct/vqa/pythia_clip_grid_feature.py | HermannLiang/CLIP-ViL | 49c28bc5ece1aacfcbfd9c8810db70663ca0516a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Grid features extraction script.
"""
import argparse
import os
import torch
import tqdm
from fvcore.common.file_io import PathManager
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.engine import default_setup
from detectron2.eva... | 40.978873 | 131 | 0.687231 | 781 | 5,819 | 4.8758 | 0.318822 | 0.036765 | 0.031513 | 0.044118 | 0.265756 | 0.221901 | 0.19354 | 0.128414 | 0.120273 | 0.120273 | 0 | 0.048473 | 0.195223 | 5,819 | 141 | 132 | 41.269504 | 0.764681 | 0.129232 | 0 | 0.117647 | 0 | 0 | 0.114138 | 0.018095 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.147059 | 0 | 0.22549 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c6577b07dcade6abb36fc14d4e83aa262bb9bef | 2,514 | py | Python | src/node.py | aerendon/blockchain-basics | e3168afd097b26d23a09fd30e74e07b695e577d1 | [
"MIT"
] | 6 | 2018-08-09T14:36:35.000Z | 2021-03-23T06:53:01.000Z | src/node.py | aerendon/blockchain-basics | e3168afd097b26d23a09fd30e74e07b695e577d1 | [
"MIT"
] | null | null | null | src/node.py | aerendon/blockchain-basics | e3168afd097b26d23a09fd30e74e07b695e577d1 | [
"MIT"
] | null | null | null | from flask import Flask, request
import time
import requests
import json
from blockchain import Blockchain
from block import Block
app = Flask(__name__)
blockchain = Blockchain()
peers = set()
@app.route('/add_nodes', methods=['POST'])
def register_new_peers():
nodes = request.get_json()
if not nodes:
... | 25.917526 | 120 | 0.668258 | 323 | 2,514 | 5.003096 | 0.278638 | 0.029703 | 0.02599 | 0.024752 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011022 | 0.206046 | 2,514 | 96 | 121 | 26.1875 | 0.798597 | 0 | 0 | 0 | 0 | 0 | 0.138027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112676 | false | 0 | 0.084507 | 0.014085 | 0.366197 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c6a104628420af03301492fef43b77ba98e1a64 | 6,840 | py | Python | examples/pytorch/mnist/plot.py | ThomasRot/rational_activations | 1fa26d1ee5f3c916eda00c899afa96eccb960143 | [
"MIT"
] | null | null | null | examples/pytorch/mnist/plot.py | ThomasRot/rational_activations | 1fa26d1ee5f3c916eda00c899afa96eccb960143 | [
"MIT"
] | null | null | null | examples/pytorch/mnist/plot.py | ThomasRot/rational_activations | 1fa26d1ee5f3c916eda00c899afa96eccb960143 | [
"MIT"
] | null | null | null | import torch
import numpy as np
import pickle
torch.manual_seed(17)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
np.random.seed(17)
import argparse
import torch.nn as nn
import torch.nn.functional as F
import matplotlib
import os
from rational.torch import Rational, RecurrentRationa... | 45.90604 | 134 | 0.55424 | 739 | 6,840 | 4.987821 | 0.339648 | 0.053717 | 0.032284 | 0.016278 | 0.254205 | 0.197504 | 0.197504 | 0.156267 | 0.156267 | 0.133478 | 0 | 0.018986 | 0.322368 | 6,840 | 148 | 135 | 46.216216 | 0.776268 | 0.066374 | 0 | 0.178862 | 0 | 0.00813 | 0.12553 | 0.018202 | 0 | 0 | 0 | 0 | 0 | 1 | 0.01626 | false | 0 | 0.105691 | 0 | 0.130081 | 0.065041 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c6a234a8099f1c0f0c886e2b520d9f41e36c635 | 7,093 | py | Python | fts/fluxrss.py | AetherBlack/Veille-Informatique | e80451c5eb21f43ac1a9baac3342ad0d4102d18b | [
"Linux-OpenIB"
] | null | null | null | fts/fluxrss.py | AetherBlack/Veille-Informatique | e80451c5eb21f43ac1a9baac3342ad0d4102d18b | [
"Linux-OpenIB"
] | null | null | null | fts/fluxrss.py | AetherBlack/Veille-Informatique | e80451c5eb21f43ac1a9baac3342ad0d4102d18b | [
"Linux-OpenIB"
] | null | null | null | #!/usr/bin/python3
from urllib.parse import urlparse
import feedparser
import requests
import asyncio
import discord
import hashlib
import os
from const import CHANNEL_RSS, WAIT_UNTIL_NEW_CHECK, \
SQLITE_FOLDER_NAME, SQLITE_FILE_NAME
from fts.database import Database
from fts.cleandatabase import CleanDatabase
... | 36.188776 | 123 | 0.537572 | 814 | 7,093 | 4.603194 | 0.219902 | 0.024019 | 0.020817 | 0.022418 | 0.151855 | 0.127035 | 0.083267 | 0.083267 | 0.083267 | 0.064585 | 0 | 0.005692 | 0.380798 | 7,093 | 195 | 124 | 36.374359 | 0.84745 | 0.302552 | 0 | 0.08 | 0 | 0 | 0.029224 | 0 | 0 | 0 | 0.001758 | 0 | 0 | 1 | 0.053333 | false | 0 | 0.133333 | 0 | 0.24 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c6a29fe050821e14428d8ec0b7f5f5436d84fcb | 11,691 | py | Python | src/poke_env/player/player_network_interface.py | kiyohiro8/poke-env | 7a1a4b155e8a73bd712d44e70c4192f8032d7e6f | [
"MIT"
] | null | null | null | src/poke_env/player/player_network_interface.py | kiyohiro8/poke-env | 7a1a4b155e8a73bd712d44e70c4192f8032d7e6f | [
"MIT"
] | null | null | null | src/poke_env/player/player_network_interface.py | kiyohiro8/poke-env | 7a1a4b155e8a73bd712d44e70c4192f8032d7e6f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""This module defines a base class for communicating with showdown servers.
"""
import json
import logging
import requests
import websockets # pyre-ignore
from abc import ABC
from abc import abstractmethod
from asyncio import CancelledError
from asyncio import ensure_future
from asyncio impo... | 36.307453 | 88 | 0.610042 | 1,295 | 11,691 | 5.34749 | 0.214672 | 0.039856 | 0.015018 | 0.017329 | 0.134874 | 0.061083 | 0.042455 | 0.034079 | 0.022527 | 0.01704 | 0 | 0.003677 | 0.302113 | 11,691 | 321 | 89 | 36.420561 | 0.845079 | 0.146694 | 0 | 0.112903 | 0 | 0 | 0.09367 | 0.008747 | 0 | 0 | 0 | 0 | 0.037634 | 1 | 0.032258 | false | 0.026882 | 0.096774 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c6cbf4764a2e4e9b78da1978c82aa4f5d7862ce | 3,637 | py | Python | tests/conftest.py | priyatharsan/beyond | 1061b870407d316d43e4d1351a7ec026629685ae | [
"MIT"
] | null | null | null | tests/conftest.py | priyatharsan/beyond | 1061b870407d316d43e4d1351a7ec026629685ae | [
"MIT"
] | null | null | null | tests/conftest.py | priyatharsan/beyond | 1061b870407d316d43e4d1351a7ec026629685ae | [
"MIT"
] | null | null | null | import numpy as np
from pytest import fixture, mark, skip
from unittest.mock import patch
from pathlib import Path
from beyond.config import config
from beyond.dates.eop import Eop
from beyond.frames.stations import create_station
from beyond.io.tle import Tle
from beyond.propagators.keplernum import KeplerNum
from be... | 27.141791 | 89 | 0.653011 | 495 | 3,637 | 4.678788 | 0.452525 | 0.030225 | 0.020725 | 0.028497 | 0.208981 | 0.145078 | 0.11399 | 0.11399 | 0.11399 | 0.079447 | 0 | 0.150788 | 0.232334 | 3,637 | 133 | 90 | 27.345865 | 0.678725 | 0.119054 | 0 | 0.2 | 0 | 0 | 0.182193 | 0.008555 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122222 | false | 0.011111 | 0.144444 | 0.033333 | 0.377778 | 0.011111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c6d185f736a9be6f5e0a171cd9fc68f8a4ce031 | 12,105 | py | Python | kornia/color/adjust.py | carlosb1/kornia | a2b34d497314e7ed65f114401efdd3cc9ba2077c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | kornia/color/adjust.py | carlosb1/kornia | a2b34d497314e7ed65f114401efdd3cc9ba2077c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | kornia/color/adjust.py | carlosb1/kornia | a2b34d497314e7ed65f114401efdd3cc9ba2077c | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from typing import Union
import torch
import torch.nn as nn
from kornia.color.hsv import rgb_to_hsv, hsv_to_rgb
from kornia.constants import pi
def adjust_saturation_raw(input: torch.Tensor, saturation_factor: Union[float, torch.Tensor]) -> torch.Tensor:
r"""Adjust color saturation of an image. Expecting input ... | 34.884726 | 110 | 0.671871 | 1,695 | 12,105 | 4.694985 | 0.107965 | 0.131314 | 0.056296 | 0.058055 | 0.677934 | 0.656446 | 0.613471 | 0.541468 | 0.439055 | 0.396708 | 0 | 0.006588 | 0.222553 | 12,105 | 346 | 111 | 34.985549 | 0.839018 | 0.316563 | 0 | 0.255034 | 0 | 0 | 0.12825 | 0.009215 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114094 | false | 0 | 0.033557 | 0.033557 | 0.261745 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c6ea33d579371cc05a40f107c83af6d179fcd7a | 1,418 | py | Python | pommerman/__init__.py | rmccann01/playground | 354041cd1d9b70ffe82c18fb5b4035fab721eb92 | [
"Apache-2.0"
] | 725 | 2018-02-14T09:48:18.000Z | 2022-03-29T03:04:28.000Z | pommerman/__init__.py | rmccann01/playground | 354041cd1d9b70ffe82c18fb5b4035fab721eb92 | [
"Apache-2.0"
] | 214 | 2018-02-16T22:00:41.000Z | 2022-03-11T23:26:20.000Z | pommerman/__init__.py | rmccann01/playground | 354041cd1d9b70ffe82c18fb5b4035fab721eb92 | [
"Apache-2.0"
] | 265 | 2018-02-15T05:33:46.000Z | 2022-03-11T03:04:17.000Z | '''Entry point into the pommerman module'''
import gym
import inspect
from . import agents
from . import configs
from . import constants
from . import forward_model
from . import helpers
from . import utility
from . import network
gym.logger.set_level(40)
REGISTRY = None
def _register():
global REGISTRY
REGI... | 26.754717 | 76 | 0.682652 | 185 | 1,418 | 5.043243 | 0.437838 | 0.085745 | 0.02358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001805 | 0.218618 | 1,418 | 52 | 77 | 27.269231 | 0.840253 | 0.131171 | 0 | 0 | 0 | 0 | 0.083607 | 0 | 0 | 0 | 0 | 0 | 0.054054 | 1 | 0.054054 | false | 0 | 0.27027 | 0 | 0.351351 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c71eb8f52ad23f62b8d9e0d27dc37cf322f70c3 | 3,148 | py | Python | tensorflow_datasets/structured/dart/dart_test.py | harsh020/datasets | b4ad3617b279ec65356e696c4c860458621976f6 | [
"Apache-2.0"
] | 1 | 2020-12-10T06:37:27.000Z | 2020-12-10T06:37:27.000Z | tensorflow_datasets/structured/dart/dart_test.py | Jinwook-shim/datasets | 815037e87150e3c8a557d91a68b07e8ffb6a2a86 | [
"Apache-2.0"
] | null | null | null | tensorflow_datasets/structured/dart/dart_test.py | Jinwook-shim/datasets | 815037e87150e3c8a557d91a68b07e8ffb6a2a86 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors.
#
# 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 appl... | 28.880734 | 80 | 0.493011 | 294 | 3,148 | 5.132653 | 0.482993 | 0.042412 | 0.039761 | 0.055666 | 0.2167 | 0.155732 | 0.132538 | 0.132538 | 0.132538 | 0.063618 | 0 | 0.018568 | 0.401207 | 3,148 | 108 | 81 | 29.148148 | 0.781963 | 0.19155 | 0 | 0.211765 | 0 | 0 | 0.38361 | 0.017419 | 0 | 0 | 0 | 0 | 0.011765 | 1 | 0.011765 | false | 0 | 0.058824 | 0 | 0.105882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c72f8f31e7cf39a7edd3dbce8585cf8da069b38 | 9,085 | py | Python | exp/exp_informer_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 8 | 2022-01-19T20:47:36.000Z | 2022-03-20T05:11:04.000Z | exp/exp_informer_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 2 | 2022-02-17T06:14:25.000Z | 2022-02-17T08:43:57.000Z | exp/exp_informer_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 5 | 2022-02-15T04:16:27.000Z | 2022-03-29T01:21:41.000Z | from data.data_loader_dad import (
NASA_Anomaly,
WADI
)
from exp.exp_basic import Exp_Basic
from models.model import Informer
from utils.tools import EarlyStopping, adjust_learning_rate
from utils.metrics import metric
from sklearn.metrics import classification_report
import numpy as np
import torch
import t... | 36.051587 | 113 | 0.557292 | 1,115 | 9,085 | 4.295067 | 0.165022 | 0.060138 | 0.037586 | 0.045103 | 0.349551 | 0.314053 | 0.30403 | 0.289831 | 0.275632 | 0.26018 | 0 | 0.006192 | 0.324491 | 9,085 | 252 | 114 | 36.051587 | 0.774157 | 0.013979 | 0 | 0.188482 | 0 | 0.005236 | 0.038217 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041885 | false | 0 | 0.073298 | 0 | 0.157068 | 0.041885 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c73ce1a389f347a8681ff6c30c8fe84612d252e | 9,270 | py | Python | tests/components/mysensors/conftest.py | liangleslie/core | cc807b4d597daaaadc92df4a93c6e30da4f570c6 | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | tests/components/mysensors/conftest.py | liangleslie/core | cc807b4d597daaaadc92df4a93c6e30da4f570c6 | [
"Apache-2.0"
] | 24,710 | 2016-04-13T08:27:26.000Z | 2020-03-02T12:59:13.000Z | tests/components/mysensors/conftest.py | liangleslie/core | cc807b4d597daaaadc92df4a93c6e30da4f570c6 | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Provide common mysensors fixtures."""
from __future__ import annotations
from collections.abc import AsyncGenerator, Callable, Generator
import json
from typing import Any
from unittest.mock import AsyncMock, MagicMock, patch
from mysensors import BaseSyncGateway
from mysensors.persistence import MySensorsJSONDeco... | 31.530612 | 87 | 0.73247 | 1,147 | 9,270 | 5.681779 | 0.145597 | 0.060764 | 0.041737 | 0.030382 | 0.369649 | 0.268835 | 0.144852 | 0.070278 | 0.058616 | 0.044192 | 0 | 0.002317 | 0.161812 | 9,270 | 293 | 88 | 31.638225 | 0.836422 | 0.114132 | 0 | 0.163043 | 0 | 0 | 0.095554 | 0.063957 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146739 | false | 0 | 0.086957 | 0 | 0.36413 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c76c121d957b364e4b6f2fa9125b58b9c909aee | 4,086 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/course_groups/migrations/0001_initial.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/course_groups/migrations/0001_initial.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/course_groups/migrations/0001_initial.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2019-01-02T14:38:50.000Z | 2019-01-02T14:38:50.000Z | from django.db import migrations, models
from django.conf import settings
from opaque_keys.edx.django.models import CourseKeyField
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | 49.829268 | 159 | 0.618698 | 405 | 4,086 | 6.041975 | 0.259259 | 0.022885 | 0.051083 | 0.046996 | 0.437679 | 0.383327 | 0.341643 | 0.308132 | 0.308132 | 0.308132 | 0 | 0.00526 | 0.255507 | 4,086 | 81 | 160 | 50.444444 | 0.799145 | 0 | 0 | 0.506494 | 0 | 0 | 0.21953 | 0.0465 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038961 | 0 | 0.077922 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c77100c5bc822f15ee0cc031b607fff7a7b2f70 | 899 | py | Python | parsl/tests/test_error_handling/test_resource_spec.py | MatthewBM/parsl | f11417a0255ed290fd0d78ffa1bc52cfe7a06301 | [
"Apache-2.0"
] | null | null | null | parsl/tests/test_error_handling/test_resource_spec.py | MatthewBM/parsl | f11417a0255ed290fd0d78ffa1bc52cfe7a06301 | [
"Apache-2.0"
] | null | null | null | parsl/tests/test_error_handling/test_resource_spec.py | MatthewBM/parsl | f11417a0255ed290fd0d78ffa1bc52cfe7a06301 | [
"Apache-2.0"
] | null | null | null | import parsl
from parsl.app.app import python_app
from parsl.tests.configs.local_threads import config
from parsl.executors.errors import UnsupportedFeatureError
from parsl.executors import WorkQueueExecutor
@python_app
def double(x, parsl_resource_specification={}):
return x * 2
def test_resource(n=2):
spe... | 26.441176 | 58 | 0.676307 | 104 | 899 | 5.653846 | 0.480769 | 0.061224 | 0.061224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007299 | 0.238042 | 899 | 33 | 59 | 27.242424 | 0.851095 | 0 | 0 | 0 | 0 | 0 | 0.038932 | 0 | 0 | 0 | 0 | 0 | 0.074074 | 1 | 0.074074 | false | 0 | 0.185185 | 0.037037 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c78f1b09da753afd4fbe81d818781bc202c7f29 | 9,565 | py | Python | cincan/file_tool.py | cincanproject/cincan-command | b8cde81931b1c8583ac7daa1327520fb9f06856e | [
"MIT"
] | 1 | 2022-03-11T02:37:42.000Z | 2022-03-11T02:37:42.000Z | cincan/file_tool.py | cincanproject/cincan-command | b8cde81931b1c8583ac7daa1327520fb9f06856e | [
"MIT"
] | null | null | null | cincan/file_tool.py | cincanproject/cincan-command | b8cde81931b1c8583ac7daa1327520fb9f06856e | [
"MIT"
] | null | null | null | import pathlib
import re
from typing import List, Optional, Dict, Set, Tuple, Iterable
import shlex
class FileMatcher:
"""Match files based on a pattern"""
def __init__(self, match_string: str, include: bool):
self.match_string = match_string
self.exact = '*' not in match_string
self.ab... | 41.228448 | 119 | 0.576477 | 1,240 | 9,565 | 4.258065 | 0.187903 | 0.0375 | 0.019697 | 0.011364 | 0.082955 | 0.0375 | 0.019697 | 0.019697 | 0 | 0 | 0 | 0.002198 | 0.334135 | 9,565 | 231 | 120 | 41.406926 | 0.826817 | 0.205332 | 0 | 0.235294 | 0 | 0 | 0.00362 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076471 | false | 0 | 0.023529 | 0 | 0.205882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c7958cdc1aac4d3672c25246775beb5da7fc72d | 997 | py | Python | aws_interface/cloud/auth/set_me.py | hubaimaster/aws-interface | 162dd056546d58b6eb29afcae1c3c2d78e4309b2 | [
"Apache-2.0"
] | 53 | 2018-10-02T05:58:54.000Z | 2020-09-15T08:58:26.000Z | aws_interface/cloud/auth/set_me.py | hubaimaster/aws-interface | 162dd056546d58b6eb29afcae1c3c2d78e4309b2 | [
"Apache-2.0"
] | 52 | 2018-09-26T05:16:09.000Z | 2022-03-11T23:51:14.000Z | aws_interface/cloud/auth/set_me.py | hubaimaster/aws-interface | 162dd056546d58b6eb29afcae1c3c2d78e4309b2 | [
"Apache-2.0"
] | 10 | 2019-03-11T16:35:14.000Z | 2019-10-23T08:03:54.000Z |
from cloud.permission import Permission, NeedPermission
from cloud.message import error
# Define the input output format of the function.
# This information is used when creating the *SDK*.
info = {
'input_format': {
'session_id': 'str',
'field': 'str',
'value?': 'str',
},
'output_... | 24.317073 | 83 | 0.608826 | 121 | 997 | 4.876033 | 0.495868 | 0.071186 | 0.050847 | 0.040678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.250752 | 997 | 40 | 84 | 24.925 | 0.789826 | 0.110331 | 0 | 0.066667 | 0 | 0 | 0.193878 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0.033333 | 0.066667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c79e8c0feadf546c1f7ffb56f2c6aded823808d | 4,647 | py | Python | arcade/examples/sprite_bullets_enemy_aims.py | LiorAvrahami/arcade | fce254a9eb89629de1f99d57a63759a2953184e9 | [
"MIT"
] | 1 | 2020-01-18T04:48:38.000Z | 2020-01-18T04:48:38.000Z | arcade/examples/sprite_bullets_enemy_aims.py | LiorAvrahami/arcade | fce254a9eb89629de1f99d57a63759a2953184e9 | [
"MIT"
] | 1 | 2019-08-11T18:47:27.000Z | 2019-08-12T03:02:11.000Z | arcade/examples/sprite_bullets_enemy_aims.py | LiorAvrahami/arcade | fce254a9eb89629de1f99d57a63759a2953184e9 | [
"MIT"
] | null | null | null | """
Show how to have enemies shoot bullets aimed at the player.
If Python and Arcade are installed, this example can be run from the command line with:
python -m arcade.examples.sprite_bullets_enemy_aims
"""
import arcade
import math
import os
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
SCREEN_TITLE = "Sprites and Bullet... | 32.957447 | 98 | 0.624919 | 631 | 4,647 | 4.434231 | 0.304279 | 0.039314 | 0.027877 | 0.038599 | 0.163331 | 0.163331 | 0.132952 | 0.115082 | 0.115082 | 0.115082 | 0 | 0.012515 | 0.295029 | 4,647 | 140 | 99 | 33.192857 | 0.841575 | 0.306004 | 0 | 0.112676 | 0 | 0 | 0.079861 | 0.065341 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084507 | false | 0 | 0.042254 | 0 | 0.140845 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c7e4ec9d240f0bbb6bcb11b797135aad6a43254 | 1,342 | py | Python | amnesia/modules/mime/model.py | silenius/amnesia | ba5e3ac79a89da599c22206ad1fd17541855f74c | [
"BSD-2-Clause"
] | 4 | 2015-05-08T10:57:56.000Z | 2021-05-17T04:32:11.000Z | amnesia/modules/mime/model.py | silenius/amnesia | ba5e3ac79a89da599c22206ad1fd17541855f74c | [
"BSD-2-Clause"
] | 6 | 2019-12-26T16:43:41.000Z | 2022-02-28T11:07:54.000Z | amnesia/modules/mime/model.py | silenius/amnesia | ba5e3ac79a89da599c22206ad1fd17541855f74c | [
"BSD-2-Clause"
] | 1 | 2019-09-23T14:08:11.000Z | 2019-09-23T14:08:11.000Z | # -*- coding: utf-8 -*-
# pylint: disable=E1101
from sqlalchemy import sql
from sqlalchemy import orm
from sqlalchemy.orm.exc import NoResultFound
from .. import Base
# http://www.iana.org/assignments/media-types/media-types.xhtml
class MimeMajor(Base):
"""Mime major"""
def __init__(self, name):
... | 21.645161 | 63 | 0.568554 | 150 | 1,342 | 4.92 | 0.42 | 0.054201 | 0.065041 | 0.04065 | 0.056911 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007361 | 0.291356 | 1,342 | 61 | 64 | 22 | 0.768665 | 0.093145 | 0 | 0.108108 | 0 | 0 | 0.007601 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135135 | false | 0 | 0.108108 | 0.027027 | 0.378378 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c7ea1a87be56599bff87dd5b87938ba5b672c0b | 14,385 | py | Python | launcher/src/main/scripts/bin/launcher.py | iyersathya/airlift | 27e981a50cee655ff4e1e13801ba5a55991f93ce | [
"Apache-2.0"
] | null | null | null | launcher/src/main/scripts/bin/launcher.py | iyersathya/airlift | 27e981a50cee655ff4e1e13801ba5a55991f93ce | [
"Apache-2.0"
] | 35 | 2019-09-27T23:27:54.000Z | 2021-10-06T14:57:28.000Z | launcher/src/main/scripts/bin/launcher.py | iyersathya/airlift | 27e981a50cee655ff4e1e13801ba5a55991f93ce | [
"Apache-2.0"
] | 21 | 2019-09-21T06:13:58.000Z | 2021-08-10T20:05:09.000Z | #!/usr/bin/env python
import errno
import os
import platform
import sys
import traceback
from fcntl import flock, LOCK_EX, LOCK_NB
from optparse import OptionParser
from os import O_RDWR, O_CREAT, O_WRONLY, O_APPEND
from os.path import basename, dirname, exists, realpath
from os.path import join as pathjoin
from sign... | 31.136364 | 135 | 0.639694 | 1,929 | 14,385 | 4.646449 | 0.161223 | 0.01562 | 0.021756 | 0.020529 | 0.241883 | 0.190115 | 0.146491 | 0.127747 | 0.07531 | 0.038157 | 0 | 0.003436 | 0.231213 | 14,385 | 461 | 136 | 31.203905 | 0.807035 | 0.066597 | 0 | 0.230303 | 0 | 0 | 0.165118 | 0.01604 | 0.00303 | 0 | 0 | 0 | 0.009091 | 1 | 0.090909 | false | 0.00303 | 0.039394 | 0 | 0.193939 | 0.048485 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c7f557e50cc992f1ad5414b88efb2c8bf4f59f5 | 1,213 | py | Python | code/sim/test.py | vectorcrumb/Ballbot_IEE2913 | 5ab54825b2bfadae251e2c6bfaaa7f8fcdae77a0 | [
"MIT"
] | null | null | null | code/sim/test.py | vectorcrumb/Ballbot_IEE2913 | 5ab54825b2bfadae251e2c6bfaaa7f8fcdae77a0 | [
"MIT"
] | null | null | null | code/sim/test.py | vectorcrumb/Ballbot_IEE2913 | 5ab54825b2bfadae251e2c6bfaaa7f8fcdae77a0 | [
"MIT"
] | null | null | null | from direct.showbase.ShowBase import ShowBase
from direct.task import Task
from direct.actor.Actor import Actor
import numpy as np
class MyApp(ShowBase):
def __init__(self):
ShowBase.__init__(self)
# Load environment model
self.scene = self.loader.loadModel("models/environment")
# ... | 32.783784 | 85 | 0.649629 | 157 | 1,213 | 4.968153 | 0.401274 | 0.046154 | 0.035897 | 0.015385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043103 | 0.234955 | 1,213 | 37 | 86 | 32.783784 | 0.797414 | 0.135202 | 0 | 0 | 0 | 0 | 0.072867 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c80d22f73704982f5f02b4193bf4d13e0699eda | 5,914 | py | Python | src/pandas_profiling/model/describe.py | briangrahamww/pandas-profiling | 62f8e3fd81720d444041069191c4aacd03d79ad5 | [
"MIT"
] | null | null | null | src/pandas_profiling/model/describe.py | briangrahamww/pandas-profiling | 62f8e3fd81720d444041069191c4aacd03d79ad5 | [
"MIT"
] | 4 | 2021-11-01T15:17:07.000Z | 2022-01-26T15:22:15.000Z | src/pandas_profiling/model/describe.py | briangrahamww/pandas-profiling | 62f8e3fd81720d444041069191c4aacd03d79ad5 | [
"MIT"
] | null | null | null | """Organize the calculation of statistics for each series in this DataFrame."""
import warnings
from datetime import datetime
from typing import Optional
import pandas as pd
from tqdm.auto import tqdm
from visions import VisionsTypeset
from pandas_profiling.config import Settings
from pandas_profiling.model.correlati... | 30.328205 | 88 | 0.615996 | 599 | 5,914 | 5.894825 | 0.248748 | 0.019824 | 0.039649 | 0.048145 | 0.097706 | 0.068536 | 0.053243 | 0.031719 | 0.031719 | 0.031719 | 0 | 0.000243 | 0.305208 | 5,914 | 194 | 89 | 30.484536 | 0.85909 | 0.148461 | 0 | 0.067669 | 0 | 0 | 0.11443 | 0.009485 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007519 | false | 0 | 0.097744 | 0 | 0.112782 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c813b2cc84c9caa5444e2c87441c4626db990da | 1,114 | py | Python | maxOfferNum.py | Ruanxingzhi/King-of-Pigeon | 38d6191c93c2d485b2e5cf163f06b9f2a5dacbec | [
"MIT"
] | null | null | null | maxOfferNum.py | Ruanxingzhi/King-of-Pigeon | 38d6191c93c2d485b2e5cf163f06b9f2a5dacbec | [
"MIT"
] | null | null | null | maxOfferNum.py | Ruanxingzhi/King-of-Pigeon | 38d6191c93c2d485b2e5cf163f06b9f2a5dacbec | [
"MIT"
] | null | null | null | import operator
class Std(object):
def __init__(self):
self.name = ''
self.offerNum = 0
self.offers = []
stds = []
stdsDict = {}
index = 0
def readStd(name,camper):
global stds
global stdsDict
global index
if name not in stdsDict:
newStd = Std()
newStd.name... | 26.52381 | 68 | 0.56553 | 140 | 1,114 | 4.385714 | 0.378571 | 0.078176 | 0.078176 | 0.071661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007614 | 0.292639 | 1,114 | 42 | 69 | 26.52381 | 0.771574 | 0 | 0 | 0 | 0 | 0 | 0.109417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.027778 | 0 | 0.111111 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c81a099c1328ddb836ac7f6bc808bcec8ce85e6 | 5,525 | py | Python | tabnine-vim/third_party/ycmd/third_party/python-future/setup.py | MrMonk3y/vimrc | 950230fb3fd7991d1234c2ab516ec03245945677 | [
"MIT"
] | 2 | 2018-04-16T03:08:42.000Z | 2021-01-06T10:21:49.000Z | tabnine-vim/third_party/ycmd/third_party/python-future/setup.py | MrMonk3y/vimrc | 950230fb3fd7991d1234c2ab516ec03245945677 | [
"MIT"
] | null | null | null | tabnine-vim/third_party/ycmd/third_party/python-future/setup.py | MrMonk3y/vimrc | 950230fb3fd7991d1234c2ab516ec03245945677 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import absolute_import, print_function
import os
import os.path
import sys
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
if sys.argv[-1] == 'publish':
os.system('python setup.py sdist upload')
sys.exit()
NAME = "futur... | 29.864865 | 95 | 0.523439 | 531 | 5,525 | 5.344633 | 0.40113 | 0.042283 | 0.052854 | 0.016913 | 0.10148 | 0.054968 | 0.054968 | 0.054968 | 0.054968 | 0.054968 | 0 | 0.011638 | 0.362353 | 5,525 | 184 | 96 | 30.027174 | 0.793926 | 0.131041 | 0 | 0.013333 | 0 | 0 | 0.343508 | 0.051432 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.006667 | 0.06 | 0 | 0.06 | 0.013333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c82276d6def1d1d6f137aa1788b787b2da8110f | 3,009 | py | Python | python-百度翻译调用/Baidu_translate/com/translate/baidu/stackoverflow_question_handler.py | wangchuanli001/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 12 | 2019-12-07T01:44:55.000Z | 2022-01-27T14:13:30.000Z | python-百度翻译调用/Baidu_translate/com/translate/baidu/stackoverflow_question_handler.py | hujiese/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 23 | 2020-05-23T03:56:33.000Z | 2022-02-28T07:54:45.000Z | python-百度翻译调用/Baidu_translate/com/translate/baidu/stackoverflow_question_handler.py | hujiese/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 7 | 2019-12-20T04:48:56.000Z | 2021-11-19T02:23:45.000Z | import requests
from bs4 import BeautifulSoup
import urllib.request
import os
import random
import time
def html(url):
user_agents = [
'Mozilla/5.0 (Windows; U; Windows NT 5.1; it; rv:1.8.1.11) Gecko/20071127 Firefox/2.0.0.11',
'Opera/9.25 (Windows NT 5.1; U; en)',
'Mozilla/4.0 (compatible... | 42.985714 | 164 | 0.623463 | 453 | 3,009 | 4.024283 | 0.373068 | 0.043884 | 0.024685 | 0.018102 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.074802 | 0.204719 | 3,009 | 69 | 165 | 43.608696 | 0.687004 | 0.03988 | 0 | 0 | 0 | 0.131148 | 0.427235 | 0.065489 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032787 | false | 0.016393 | 0.098361 | 0 | 0.131148 | 0.016393 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c82c0f597ec23a15334ec51934c9484615b1b1f | 2,541 | py | Python | Research/data_loader.py | ALEXKIRNAS/Kaggle-C-CORE-Iceberg-Classifier-Challenge | d8b06969c9393cfce6d9ac96b58c9d365ff4369d | [
"MIT"
] | null | null | null | Research/data_loader.py | ALEXKIRNAS/Kaggle-C-CORE-Iceberg-Classifier-Challenge | d8b06969c9393cfce6d9ac96b58c9d365ff4369d | [
"MIT"
] | null | null | null | Research/data_loader.py | ALEXKIRNAS/Kaggle-C-CORE-Iceberg-Classifier-Challenge | d8b06969c9393cfce6d9ac96b58c9d365ff4369d | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
from keras.utils import to_categorical
from sklearn.model_selection import KFold, train_test_split
def load_data(path):
train = pd.read_json(os.path.join(path, "./train.json"))
test = pd.read_json(os.path.join(path, "./test.json"))
return (train, test)
... | 34.337838 | 92 | 0.562377 | 354 | 2,541 | 3.776836 | 0.268362 | 0.044877 | 0.017951 | 0.026926 | 0.34555 | 0.293194 | 0.293194 | 0.231862 | 0.231862 | 0.231862 | 0 | 0.063673 | 0.307753 | 2,541 | 73 | 93 | 34.808219 | 0.696418 | 0 | 0 | 0.156863 | 0 | 0 | 0.025974 | 0 | 0 | 0 | 0.00551 | 0 | 0 | 1 | 0.078431 | false | 0 | 0.098039 | 0 | 0.254902 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c839f4dc74ac86e89c284ecfbdaf987fd07d858 | 554 | py | Python | Problem_09.py | Habbo3/Project-Euler | 1a01d67f72b9cfb606d13df91af89159b588216e | [
"MIT"
] | null | null | null | Problem_09.py | Habbo3/Project-Euler | 1a01d67f72b9cfb606d13df91af89159b588216e | [
"MIT"
] | null | null | null | Problem_09.py | Habbo3/Project-Euler | 1a01d67f72b9cfb606d13df91af89159b588216e | [
"MIT"
] | null | null | null | """
A Pythagorean triplet is a set of three natural numbers, a < b < c, for which,
a2 + b2 = c2
For example, 32 + 42 = 9 + 16 = 25 = 52.
There exists exactly one Pythagorean triplet for which a + b + c = 1000.
Find the product abc.
"""
solved = False
for a in range(1, 1000):
for b in range(1, 1000):
for c in range(... | 24.086957 | 78 | 0.601083 | 101 | 554 | 3.29703 | 0.435644 | 0.03003 | 0.045045 | 0.108108 | 0.09009 | 0 | 0 | 0 | 0 | 0 | 0 | 0.099751 | 0.276173 | 554 | 23 | 79 | 24.086957 | 0.730673 | 0.409747 | 0 | 0.333333 | 0 | 0 | 0.1375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c83aa67c0a65ae58c0709d1dc148cd1d75e4a56 | 2,862 | py | Python | fanscribed/apps/transcripts/tests/test_transcripts.py | fanscribed/fanscribed | 89b14496459f81a152df38ed5098fba2b087a1d7 | [
"MIT"
] | 8 | 2015-01-05T07:04:02.000Z | 2016-07-19T17:56:46.000Z | fanscribed/apps/transcripts/tests/test_transcripts.py | fanscribed/fanscribed | 89b14496459f81a152df38ed5098fba2b087a1d7 | [
"MIT"
] | 32 | 2015-03-18T18:51:00.000Z | 2021-06-10T20:37:33.000Z | fanscribed/apps/transcripts/tests/test_transcripts.py | fanscribed/fanscribed | 89b14496459f81a152df38ed5098fba2b087a1d7 | [
"MIT"
] | 5 | 2015-02-10T21:15:32.000Z | 2016-06-02T17:26:14.000Z | from decimal import Decimal
import os
from django.test import TestCase
from unipath import Path
from ....utils import refresh
from ...media import tests
from ..models import Transcript, TranscriptMedia
MEDIA_TESTDATA_PATH = Path(tests.__file__).parent.child('testdata')
RAW_MEDIA_PATH = MEDIA_TESTDATA_PATH.child('r... | 33.27907 | 90 | 0.628931 | 347 | 2,862 | 5.051873 | 0.299712 | 0.162578 | 0.067884 | 0.079863 | 0.351398 | 0.351398 | 0.292641 | 0.292641 | 0.233314 | 0.208785 | 0 | 0.042416 | 0.242138 | 2,862 | 85 | 91 | 33.670588 | 0.765791 | 0.015024 | 0 | 0.15873 | 0 | 0 | 0.065364 | 0.020604 | 0 | 0 | 0 | 0 | 0.31746 | 1 | 0.047619 | false | 0 | 0.126984 | 0 | 0.206349 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c83fd89c702ba9d9dcb725c78535f9419ea8d70 | 2,771 | py | Python | buildAncestryFeats.py | BurcinSayin/pf2 | bcd362dc0a750b8ee59cd19ecff9cf5be4f34b19 | [
"MIT"
] | null | null | null | buildAncestryFeats.py | BurcinSayin/pf2 | bcd362dc0a750b8ee59cd19ecff9cf5be4f34b19 | [
"MIT"
] | null | null | null | buildAncestryFeats.py | BurcinSayin/pf2 | bcd362dc0a750b8ee59cd19ecff9cf5be4f34b19 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
import requests
import json
import datetime
import codecs
import re
featHolder = {}
featHolder['name'] = 'Pathfinder 2.0 Ancestry feat list'
featHolder['date'] = datetime.date.today().strftime("%B %d, %Y")
def get_details(link):
res = requests.get(link)
res.raise_for_status()
... | 34.209877 | 155 | 0.572717 | 347 | 2,771 | 4.518732 | 0.432277 | 0.013393 | 0.022959 | 0.030612 | 0.110969 | 0.110969 | 0.080357 | 0.080357 | 0.080357 | 0.080357 | 0 | 0.011846 | 0.268856 | 2,771 | 80 | 156 | 34.6375 | 0.762093 | 0.16817 | 0 | 0.103448 | 0 | 0 | 0.128272 | 0.023124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.103448 | 0 | 0.172414 | 0.017241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c84005ad03ff1fb7961f46195db1060fc63cb16 | 861 | py | Python | Random_item_selector_module.py | Jahronimo/public_question_book_framework | 812bd11b104de013e930536713b8134d046642d5 | [
"MIT"
] | null | null | null | Random_item_selector_module.py | Jahronimo/public_question_book_framework | 812bd11b104de013e930536713b8134d046642d5 | [
"MIT"
] | null | null | null | Random_item_selector_module.py | Jahronimo/public_question_book_framework | 812bd11b104de013e930536713b8134d046642d5 | [
"MIT"
] | 1 | 2020-03-07T10:53:30.000Z | 2020-03-07T10:53:30.000Z | import random
def Randomise(questions_lists):
import random
import secrets
secure_random = secrets.SystemRandom()# creates a secure random object.
group_of_items = questions_lists
num_qustion_t_select = num_question_to_display
list_of_random_item... | 47.833333 | 86 | 0.682927 | 111 | 861 | 4.81982 | 0.522523 | 0.11215 | 0.061682 | 0.095327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004594 | 0.24158 | 861 | 17 | 87 | 50.647059 | 0.814701 | 0.283391 | 0 | 0.166667 | 0 | 0 | 0.047463 | 0.037643 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.25 | 0 | 0.333333 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8421979f69cbc7cf5cd9ec5a87a153ab3efc74 | 1,228 | py | Python | python_scrape/test_functions.py | jose-marquez89/tech-job-landscape | 0b509536e7ba22885f50c82da8cf990b65373090 | [
"MIT"
] | null | null | null | python_scrape/test_functions.py | jose-marquez89/tech-job-landscape | 0b509536e7ba22885f50c82da8cf990b65373090 | [
"MIT"
] | null | null | null | python_scrape/test_functions.py | jose-marquez89/tech-job-landscape | 0b509536e7ba22885f50c82da8cf990b65373090 | [
"MIT"
] | null | null | null | import unittest
import scrape
class TestScrapeFunctions(unittest.TestCase):
def test_build_url(self):
url = scrape.build_url("indeed",
"/jobs?q=Data+Scientist&l=Texas&start=10",
join_next=True)
expected = ("https://www.indeed.com/"
... | 34.111111 | 78 | 0.556189 | 135 | 1,228 | 4.881481 | 0.355556 | 0.084977 | 0.054628 | 0.081942 | 0.30349 | 0.30349 | 0.206373 | 0.141123 | 0 | 0 | 0 | 0.020238 | 0.315961 | 1,228 | 35 | 79 | 35.085714 | 0.764286 | 0 | 0 | 0.071429 | 0 | 0 | 0.220684 | 0.112378 | 0 | 0 | 0 | 0 | 0.214286 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c85f5102089b2dbe1aa3c33bc6b5354992888f4 | 466 | py | Python | pybook/ch10/DeckOfCards.py | YanhaoXu/python-learning | 856687a71635a2ca67dab49d396c238f128e5ec0 | [
"MIT"
] | 2 | 2021-12-06T13:29:48.000Z | 2022-01-20T11:39:45.000Z | pybook/ch10/DeckOfCards.py | YanhaoXu/python-learning | 856687a71635a2ca67dab49d396c238f128e5ec0 | [
"MIT"
] | null | null | null | pybook/ch10/DeckOfCards.py | YanhaoXu/python-learning | 856687a71635a2ca67dab49d396c238f128e5ec0 | [
"MIT"
] | null | null | null | import random
# Create a deck of cards
deck = [x for x in range(52)]
# Create suits and ranks lists
suits = ["Spades", "Hearts", "Diamonds", "Clubs"]
ranks = ["Ace", "2", "3", "4", "5", "6", "7", "8", "9",
"10", "Jack", "Queen", "King"]
# Shuffle the cards
random.shuffle(deck)
# Display the first four card... | 24.526316 | 61 | 0.575107 | 74 | 466 | 3.621622 | 0.621622 | 0.05597 | 0.052239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046448 | 0.214592 | 466 | 18 | 62 | 25.888889 | 0.685792 | 0.2103 | 0 | 0 | 0 | 0 | 0.192837 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8673116b02c8c1dd21b123ad5da8653dbefe4c | 3,410 | py | Python | nlpgnn/gnn/RGCNConv.py | ojipadeson/NLPGNN | 7c43d2f0cb2b16c046c930037fd505c5c4f36db4 | [
"MIT"
] | 263 | 2020-05-19T10:40:26.000Z | 2022-03-25T05:22:49.000Z | nlpgnn/gnn/RGCNConv.py | Kuan-Louis/NLPGNN | b9ecec2c6df1b3e40a54511366dcb6085cf90c34 | [
"MIT"
] | 7 | 2020-05-18T23:02:55.000Z | 2021-04-29T18:27:43.000Z | nlpgnn/gnn/RGCNConv.py | Kuan-Louis/NLPGNN | b9ecec2c6df1b3e40a54511366dcb6085cf90c34 | [
"MIT"
] | 56 | 2020-05-19T05:59:36.000Z | 2022-03-14T06:21:33.000Z | #! usr/bin/env python3
# -*- coding:utf-8 -*-
"""
@Author:Kaiyin Zhou
Usage:
node_embeddings = tf.random.normal(shape=(5, 3))
adjacency_lists = [
tf.constant([[0, 1], [2, 4], [2, 4]], dtype=tf.int32),
tf.constant([[0, 1], [2, 4], [2, 4]], dtype=tf.int32)
]
layer... | 35.894737 | 97 | 0.575367 | 378 | 3,410 | 4.880952 | 0.325397 | 0.039024 | 0.04065 | 0.034688 | 0.211924 | 0.159892 | 0.115989 | 0.115989 | 0.115989 | 0.115989 | 0 | 0.013089 | 0.327859 | 3,410 | 94 | 98 | 36.276596 | 0.791885 | 0.172141 | 0 | 0.060606 | 0 | 0 | 0.010909 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0.030303 | 0.030303 | 0 | 0.136364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c87af0c38dbd1633d14f5192f2da57d1ebe0d89 | 73,923 | py | Python | addons/project/models/project.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/project/models/project.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | addons/project/models/project.py | SHIVJITH/Odoo_Machine_Test | 310497a9872db7844b521e6dab5f7a9f61d365a4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
import ast
from datetime import timedelta, datetime
from random import randint
from odoo import api, fields, models, tools, SUPERUSER_ID, _
from odoo.exceptions import UserError, AccessError, ValidationError, RedirectWa... | 51.550209 | 249 | 0.645577 | 9,265 | 73,923 | 4.905343 | 0.07728 | 0.024358 | 0.006337 | 0.008009 | 0.40235 | 0.326351 | 0.266656 | 0.198513 | 0.167642 | 0.147597 | 0 | 0.002246 | 0.229009 | 73,923 | 1,433 | 250 | 51.586183 | 0.795171 | 0.069424 | 0 | 0.193772 | 0 | 0.013841 | 0.219468 | 0.037133 | 0 | 0 | 0 | 0.000698 | 0 | 1 | 0.086505 | false | 0 | 0.007785 | 0.00692 | 0.281142 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8849369fcbb1dad3eb48e7b50645532c6e90e9 | 1,670 | py | Python | app/config.py | Maethorin/pivocram | f1709f5ee76d0280601efa87f3af8e89c2968f43 | [
"MIT"
] | 5 | 2016-04-02T15:07:03.000Z | 2021-06-25T14:48:55.000Z | app/config.py | Maethorin/pivocram | f1709f5ee76d0280601efa87f3af8e89c2968f43 | [
"MIT"
] | 2 | 2016-04-28T20:14:04.000Z | 2016-05-01T18:37:05.000Z | app/config.py | Maethorin/pivocram | f1709f5ee76d0280601efa87f3af8e89c2968f43 | [
"MIT"
] | 1 | 2018-07-27T10:52:04.000Z | 2018-07-27T10:52:04.000Z | # -*- coding: utf-8 -*-
"""
Config File for enviroment variables
"""
import os
from importlib import import_module
class Config(object):
"""
Base class for all config variables
"""
DEBUG = False
TESTING = False
DEVELOPMENT = False
CSRF_ENABLED = True
SQLALCHEMY_DATABASE_URI = os.envi... | 23.521127 | 115 | 0.671856 | 199 | 1,670 | 5.502513 | 0.472362 | 0.080365 | 0.021918 | 0.054795 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002317 | 0.224551 | 1,670 | 71 | 116 | 23.521127 | 0.843243 | 0.322156 | 0 | 0.137931 | 0 | 0 | 0.092885 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0.034483 | 0.172414 | 0 | 0.862069 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c88cdba00ccf459ff19909681f6bd97e0741c61 | 6,306 | py | Python | pytests/docs/docs.py | ramalingam-cb/testrunner | 81cea7a5a493cf0c67fca7f97c667cd3c6ad2142 | [
"Apache-2.0"
] | null | null | null | pytests/docs/docs.py | ramalingam-cb/testrunner | 81cea7a5a493cf0c67fca7f97c667cd3c6ad2142 | [
"Apache-2.0"
] | null | null | null | pytests/docs/docs.py | ramalingam-cb/testrunner | 81cea7a5a493cf0c67fca7f97c667cd3c6ad2142 | [
"Apache-2.0"
] | null | null | null | import time
import logger
from basetestcase import BaseTestCase
from couchbase_helper.documentgenerator import DocumentGenerator
from membase.api.rest_client import RestConnection
from couchbase_helper.documentgenerator import BlobGenerator
class DocsTests(BaseTestCase):
def setUp(self):
super(DocsTests, ... | 55.80531 | 121 | 0.579607 | 775 | 6,306 | 4.512258 | 0.234839 | 0.034315 | 0.04461 | 0.050043 | 0.498713 | 0.441807 | 0.391192 | 0.391192 | 0.391192 | 0.263655 | 0 | 0.025547 | 0.310974 | 6,306 | 112 | 122 | 56.303571 | 0.779287 | 0.018395 | 0 | 0.129032 | 0 | 0 | 0.098779 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043011 | false | 0 | 0.064516 | 0 | 0.11828 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c898d721c85859465a77ce43f10791adda1d063 | 1,890 | py | Python | lichthi.py | truongaxin123/lichthidtu | 77ba75974769ab1fdd1281b6088a1734dc0a3a83 | [
"MIT"
] | null | null | null | lichthi.py | truongaxin123/lichthidtu | 77ba75974769ab1fdd1281b6088a1734dc0a3a83 | [
"MIT"
] | null | null | null | lichthi.py | truongaxin123/lichthidtu | 77ba75974769ab1fdd1281b6088a1734dc0a3a83 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
import requests
from urllib.request import urlretrieve
ROOT = 'http://pdaotao.duytan.edu.vn'
def get_url_sub(sub, id_, page):
all_td_tag = []
for i in range(1, page+1):
print('http://pdaotao.duytan.edu.vn/EXAM_LIST/?page={}&lang=VN'.format(i))
r = requests.get('ht... | 35 | 93 | 0.595767 | 282 | 1,890 | 3.787234 | 0.319149 | 0.060861 | 0.044944 | 0.050562 | 0.364232 | 0.291199 | 0.235019 | 0.161985 | 0.161985 | 0.161985 | 0 | 0.014199 | 0.21746 | 1,890 | 53 | 94 | 35.660377 | 0.707911 | 0.044444 | 0 | 0.046512 | 0 | 0 | 0.199002 | 0.012749 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.069767 | 0 | 0.209302 | 0.186047 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8a2cc8e8cd0ae17cdb81c0889eb3b2e10339c2 | 10,998 | py | Python | appengine/uploader/main.py | isabella232/feedloader | c0417480804d406a83d1aedcb7e7d719058fdbfd | [
"Apache-2.0"
] | 5 | 2021-02-15T12:49:12.000Z | 2022-01-12T06:28:41.000Z | appengine/uploader/main.py | google/feedloader | f6a25569bc3d7d4ee326961fd3b01e45fc3858e4 | [
"Apache-2.0"
] | 1 | 2021-06-18T15:30:16.000Z | 2021-06-18T15:30:16.000Z | appengine/uploader/main.py | isabella232/feedloader | c0417480804d406a83d1aedcb7e7d719058fdbfd | [
"Apache-2.0"
] | 4 | 2021-02-16T17:28:00.000Z | 2021-06-18T15:27:52.000Z | # coding=utf-8
# Copyright 2021 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 38.055363 | 148 | 0.738498 | 1,489 | 10,998 | 5.247817 | 0.209537 | 0.023036 | 0.019196 | 0.012798 | 0.316995 | 0.256207 | 0.206808 | 0.182109 | 0.171871 | 0.1441 | 0 | 0.002681 | 0.185943 | 10,998 | 288 | 149 | 38.1875 | 0.870099 | 0.307965 | 0 | 0.164557 | 0 | 0.025316 | 0.130639 | 0.017991 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050633 | false | 0 | 0.113924 | 0 | 0.259494 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8a6aee7b7a77f1d1c85df07a12dedc044587d5 | 17,730 | py | Python | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/transforms.py | BadDevCode/lumberyard | 3d688932f919dbf5821f0cb8a210ce24abe39e9e | [
"AML"
] | 1,738 | 2017-09-21T10:59:12.000Z | 2022-03-31T21:05:46.000Z | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/transforms.py | olivier-be/lumberyard | 3d688932f919dbf5821f0cb8a210ce24abe39e9e | [
"AML"
] | 427 | 2017-09-29T22:54:36.000Z | 2022-02-15T19:26:50.000Z | dev/Gems/CloudGemMetric/v1/AWS/python/windows/Lib/numba/transforms.py | olivier-be/lumberyard | 3d688932f919dbf5821f0cb8a210ce24abe39e9e | [
"AML"
] | 671 | 2017-09-21T08:04:01.000Z | 2022-03-29T14:30:07.000Z | """
Implement transformation on Numba IR
"""
from __future__ import absolute_import, print_function
from collections import namedtuple, defaultdict
import logging
from numba.analysis import compute_cfg_from_blocks, find_top_level_loops
from numba import ir, errors, ir_utils
from numba.analysis import compute_use_def... | 33.579545 | 84 | 0.60846 | 2,184 | 17,730 | 4.779762 | 0.184982 | 0.013794 | 0.022991 | 0.01389 | 0.164096 | 0.110547 | 0.059584 | 0.039659 | 0.031804 | 0.031804 | 0 | 0.002125 | 0.310039 | 17,730 | 527 | 85 | 33.643264 | 0.851222 | 0.182121 | 0 | 0.120235 | 0 | 0 | 0.06584 | 0.002592 | 0 | 0 | 0 | 0 | 0.008798 | 1 | 0.085044 | false | 0 | 0.026393 | 0.005865 | 0.196481 | 0.002933 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8a815c2ee01b343fc690c138951a4c479fece7 | 6,453 | py | Python | tests/test_masked_inference_wsi_dataset.py | HabibMrad/MONAI | 1314701c15623422574b0153d746666dc6004454 | [
"Apache-2.0"
] | 1 | 2022-01-04T21:38:23.000Z | 2022-01-04T21:38:23.000Z | tests/test_masked_inference_wsi_dataset.py | HabibMrad/MONAI | 1314701c15623422574b0153d746666dc6004454 | [
"Apache-2.0"
] | null | null | null | tests/test_masked_inference_wsi_dataset.py | HabibMrad/MONAI | 1314701c15623422574b0153d746666dc6004454 | [
"Apache-2.0"
] | null | null | null | import os
import unittest
from unittest import skipUnless
import numpy as np
from numpy.testing import assert_array_equal
from parameterized import parameterized
from monai.apps.pathology.datasets import MaskedInferenceWSIDataset
from monai.apps.utils import download_url
from monai.utils import optional_import
from t... | 27 | 95 | 0.501937 | 681 | 6,453 | 4.53304 | 0.152717 | 0.071914 | 0.067055 | 0.068027 | 0.580175 | 0.56495 | 0.556527 | 0.537739 | 0.526401 | 0.514091 | 0 | 0.08339 | 0.314272 | 6,453 | 238 | 96 | 27.113445 | 0.614237 | 0 | 0 | 0.399061 | 0 | 0.004695 | 0.158841 | 0.004959 | 0 | 0 | 0 | 0 | 0.023474 | 1 | 0.023474 | false | 0 | 0.056338 | 0 | 0.084507 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8eb61b685c469f781463c9f7be05e90e8308c7 | 1,408 | py | Python | neural_network/backup_casestudy/denbigh/tf_RNN.py | acceleratedmaterials/AMDworkshop_demo | e7c2b931e023fc00ff7494b8acb2181f5c75bc4e | [
"MIT"
] | 5 | 2019-04-02T03:20:43.000Z | 2021-07-13T18:23:26.000Z | neural_network/backup_casestudy/denbigh/tf_RNN.py | NUS-SSE/AMDworkshop_demo | edbd6c60957dd0d83c3ef43c7e9e28ef1fef3bd9 | [
"MIT"
] | null | null | null | neural_network/backup_casestudy/denbigh/tf_RNN.py | NUS-SSE/AMDworkshop_demo | edbd6c60957dd0d83c3ef43c7e9e28ef1fef3bd9 | [
"MIT"
] | 5 | 2019-05-12T17:41:58.000Z | 2021-06-08T04:38:35.000Z | # -*- coding: utf-8 -*-
'''
Framework: Tensorflow
Training samples: 1600
Validation samples: 400
RNN with 128 units
Optimizer: Adam
Epoch: 100
Loss: Cross Entropy
Activation function: Relu for network and Soft-max for regression
Regularization: Drop-out, keep_prob = 0.8
Accuracy of Validation set: 95%
'''
from __future... | 37.052632 | 76 | 0.769176 | 214 | 1,408 | 4.897196 | 0.490654 | 0.04771 | 0.017176 | 0.028626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039216 | 0.130682 | 1,408 | 38 | 77 | 37.052632 | 0.816993 | 0.371449 | 0 | 0 | 0 | 0 | 0.052874 | 0.027586 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8eba30a07960e7e0f748300f8823eed9acd88c | 5,569 | py | Python | code/tests/test_tile_tf.py | Nocty-chan/cs224n-squad | 0c0b342621e038aba8e20ff411da13dfa173351d | [
"Apache-2.0"
] | 2 | 2018-04-15T06:13:41.000Z | 2019-07-25T20:22:34.000Z | code/tests/test_tile_tf.py | Nocty-chan/cs224n-squad | 0c0b342621e038aba8e20ff411da13dfa173351d | [
"Apache-2.0"
] | 1 | 2020-11-10T04:51:36.000Z | 2020-11-10T04:51:36.000Z | code/tests/test_tile_tf.py | Nocty-chan/cs224n-squad | 0c0b342621e038aba8e20ff411da13dfa173351d | [
"Apache-2.0"
] | 3 | 2018-08-08T08:48:04.000Z | 2020-02-10T09:52:41.000Z | import numpy as np
import tensorflow as tf
H = 2
N = 2
M = 3
BS = 10
def my_softmax(arr):
max_elements = np.reshape(np.max(arr, axis = 2), (BS, N, 1))
arr = arr - max_elements
exp_array = np.exp(arr)
print (exp_array)
sum_array = np.reshape(np.sum(exp_array, axis=2), (BS, N, 1))
return exp_arra... | 41.87218 | 99 | 0.625606 | 978 | 5,569 | 3.40593 | 0.160532 | 0.019814 | 0.018013 | 0.018013 | 0.208646 | 0.104773 | 0.059442 | 0.02882 | 0 | 0 | 0 | 0.050568 | 0.225893 | 5,569 | 132 | 100 | 42.189394 | 0.722106 | 0.223379 | 0 | 0 | 0 | 0 | 0.039499 | 0 | 0 | 0 | 0 | 0 | 0.042553 | 1 | 0.074468 | false | 0 | 0.021277 | 0 | 0.170213 | 0.042553 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c8edd5a1cedfd0895ce2bb9c6148ce0241c7af7 | 7,174 | py | Python | specutils/tests/test_smoothing.py | hamogu/specutils | b873f2ac9b3c207c9e670246d102f46a9606d6ed | [
"BSD-3-Clause"
] | null | null | null | specutils/tests/test_smoothing.py | hamogu/specutils | b873f2ac9b3c207c9e670246d102f46a9606d6ed | [
"BSD-3-Clause"
] | null | null | null | specutils/tests/test_smoothing.py | hamogu/specutils | b873f2ac9b3c207c9e670246d102f46a9606d6ed | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import pytest
from astropy import convolution
from scipy.signal import medfilt
import astropy.units as u
from ..spectra.spectrum1d import Spectrum1D
from ..tests.spectral_examples import simulated_spectra
from ..manipulation.smoothing import (convolution_smooth, box_smooth,
... | 32.609091 | 98 | 0.730694 | 940 | 7,174 | 5.393617 | 0.156383 | 0.059961 | 0.037475 | 0.051479 | 0.63787 | 0.608679 | 0.594675 | 0.531558 | 0.509467 | 0.509467 | 0 | 0.023034 | 0.195149 | 7,174 | 219 | 99 | 32.757991 | 0.85504 | 0.340117 | 0 | 0.432099 | 0 | 0 | 0.01071 | 0 | 0 | 0 | 0 | 0 | 0.123457 | 1 | 0.123457 | false | 0 | 0.098765 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c909452f19de7c50d60c569038b33d1b55f15c0 | 909 | py | Python | modules/interpolator.py | buulikduong/1d_sgl_solver | 03ce0b362d45acbbd3bb35e7b604ba97982eea92 | [
"BSD-2-Clause"
] | null | null | null | modules/interpolator.py | buulikduong/1d_sgl_solver | 03ce0b362d45acbbd3bb35e7b604ba97982eea92 | [
"BSD-2-Clause"
] | null | null | null | modules/interpolator.py | buulikduong/1d_sgl_solver | 03ce0b362d45acbbd3bb35e7b604ba97982eea92 | [
"BSD-2-Clause"
] | 2 | 2020-09-01T13:02:49.000Z | 2021-08-15T09:10:17.000Z | """Module interpolating mathematical functions out of support points"""
from scipy.interpolate import interp1d, lagrange, CubicSpline
def interpolator(x_sup, y_sup, method):
"""Interpolates a mathematical function from a given set of
points using either linear, polynomial or cubic spline for the
interpol... | 29.322581 | 71 | 0.672167 | 113 | 909 | 5.309735 | 0.495575 | 0.033333 | 0.033333 | 0.053333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002933 | 0.249725 | 909 | 30 | 72 | 30.3 | 0.876833 | 0.454345 | 0 | 0.25 | 0 | 0 | 0.080357 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c9227a3cbdbdfda32f8e1f7af19e23d5f84fca1 | 946 | py | Python | games.py | cpratim/DSA-Research-Paper | ebb856ef62f8a04aa72380e39afdde958eed529a | [
"MIT"
] | null | null | null | games.py | cpratim/DSA-Research-Paper | ebb856ef62f8a04aa72380e39afdde958eed529a | [
"MIT"
] | null | null | null | games.py | cpratim/DSA-Research-Paper | ebb856ef62f8a04aa72380e39afdde958eed529a | [
"MIT"
] | null | null | null | import json
import matplotlib.pyplot as plt
from pprint import pprint
import numpy as np
from scipy.stats import linregress
from util.stats import *
with open('data/game_stats.json', 'r') as f:
df = json.load(f)
X, y = [], []
for match, stats in df.items():
home, away = stats['home'], stats['away']
if home['mp'] !... | 22 | 51 | 0.64482 | 167 | 946 | 3.60479 | 0.443114 | 0.016611 | 0.039867 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010152 | 0.167019 | 946 | 43 | 52 | 22 | 0.753807 | 0 | 0 | 0 | 0 | 0 | 0.119324 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.171429 | 0 | 0.171429 | 0.085714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c924b0af1eb750ce0d3f38bab21b79619b4ba48 | 6,255 | py | Python | src/generate_data.py | gycggd/leaf-classification | b37dd4a6a262562c454038218c1472329e54128b | [
"MIT"
] | null | null | null | src/generate_data.py | gycggd/leaf-classification | b37dd4a6a262562c454038218c1472329e54128b | [
"MIT"
] | null | null | null | src/generate_data.py | gycggd/leaf-classification | b37dd4a6a262562c454038218c1472329e54128b | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
import tensorflow as tf
from keras.preprocessing.image import ImageDataGenerator
from keras.preprocessing.image import img_to_array, load_img
from keras.utils.np_utils import to_categorical
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.preproces... | 36.794118 | 116 | 0.672422 | 976 | 6,255 | 4.036885 | 0.17623 | 0.016244 | 0.007614 | 0.013959 | 0.371574 | 0.313706 | 0.232995 | 0.218782 | 0.218782 | 0.196447 | 0 | 0.014229 | 0.191047 | 6,255 | 169 | 117 | 37.011834 | 0.764427 | 0.040608 | 0 | 0.125984 | 0 | 0 | 0.078552 | 0.011341 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086614 | false | 0 | 0.070866 | 0.023622 | 0.228346 | 0.125984 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c93f115e357ee6abe4ee6a425a0e90b87246382 | 1,834 | py | Python | setup.py | Parquery/pynumenc | f14abab40b7d08c55824bf1da5b2a7026c0a7282 | [
"MIT"
] | 1 | 2018-11-09T16:16:08.000Z | 2018-11-09T16:16:08.000Z | setup.py | Parquery/numenc-py | f14abab40b7d08c55824bf1da5b2a7026c0a7282 | [
"MIT"
] | 2 | 2018-11-09T12:51:40.000Z | 2018-11-09T12:53:55.000Z | setup.py | Parquery/pynumenc | f14abab40b7d08c55824bf1da5b2a7026c0a7282 | [
"MIT"
] | 2 | 2019-02-26T12:40:11.000Z | 2019-06-17T07:42:35.000Z | """A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
import os
from setuptools import setup, find_packages, Extension
import pynumenc_meta
# pylint: disable=redefined-builtin
here = os.path.abspath(os.path.dirname(__file__)) # ... | 31.084746 | 81 | 0.630316 | 211 | 1,834 | 5.241706 | 0.563981 | 0.086799 | 0.036166 | 0.0434 | 0.050633 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022933 | 0.215376 | 1,834 | 58 | 82 | 31.62069 | 0.745657 | 0.138495 | 0 | 0.046512 | 0 | 0 | 0.327597 | 0.01912 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.069767 | 0 | 0.069767 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c95786ebe742f8164fbbe85994a95220ade7338 | 3,074 | py | Python | Models/License-Plate-Recognition-Nigerian-vehicles-master/License-Plate-Recognition-Nigerian-vehicles-master/ocr.py | nipunjain099/AutoGuard | 8217cd03af7927590ef3a160ecb7d9bc9f50d101 | [
"MIT"
] | 147 | 2018-12-23T09:44:36.000Z | 2022-03-03T15:38:33.000Z | Models/License-Plate-Recognition-Nigerian-vehicles-master/License-Plate-Recognition-Nigerian-vehicles-master/ocr.py | nipunjain099/AutoGuard | 8217cd03af7927590ef3a160ecb7d9bc9f50d101 | [
"MIT"
] | 17 | 2018-12-25T16:04:34.000Z | 2022-01-13T00:44:21.000Z | Models/License-Plate-Recognition-Nigerian-vehicles-master/License-Plate-Recognition-Nigerian-vehicles-master/ocr.py | nipunjain099/AutoGuard | 8217cd03af7927590ef3a160ecb7d9bc9f50d101 | [
"MIT"
] | 77 | 2018-12-19T03:03:14.000Z | 2022-03-13T17:00:38.000Z | import numpy as np
from skimage.transform import resize
from skimage import measure
from skimage.measure import regionprops
class OCROnObjects():
def __init__(self, license_plate):
character_objects = self.identify_boundary_objects(license_plate)
self.get_regions(character_objects, license_pla... | 43.914286 | 155 | 0.59987 | 327 | 3,074 | 5.464832 | 0.311927 | 0.120873 | 0.094572 | 0.080582 | 0.266928 | 0.266928 | 0.201455 | 0.201455 | 0.158926 | 0.105204 | 0 | 0.026005 | 0.311971 | 3,074 | 70 | 156 | 43.914286 | 0.818913 | 0.130124 | 0 | 0.22449 | 0 | 0 | 0.011705 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.081633 | 0 | 0.204082 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c974ea9b476fd86b7ac61a4ae4dbd0512a02f64 | 1,711 | py | Python | letsencrypt/setup.py | ccppuu/certbot | 9fead41aaf93dde0d36d4aef6fded8dd306c1ddc | [
"Apache-2.0"
] | 1 | 2017-12-20T20:06:11.000Z | 2017-12-20T20:06:11.000Z | letsencrypt/setup.py | cpu/certbot | 9fead41aaf93dde0d36d4aef6fded8dd306c1ddc | [
"Apache-2.0"
] | null | null | null | letsencrypt/setup.py | cpu/certbot | 9fead41aaf93dde0d36d4aef6fded8dd306c1ddc | [
"Apache-2.0"
] | null | null | null | import codecs
import os
import sys
from setuptools import setup
from setuptools import find_packages
def read_file(filename, encoding='utf8'):
"""Read unicode from given file."""
with codecs.open(filename, encoding=encoding) as fd:
return fd.read()
here = os.path.abspath(os.path.dirname(__file__))
... | 27.15873 | 61 | 0.630625 | 180 | 1,711 | 5.9 | 0.555556 | 0.071563 | 0.094162 | 0.073446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009946 | 0.236119 | 1,711 | 62 | 62 | 27.596774 | 0.802601 | 0.043834 | 0 | 0.041667 | 0 | 0 | 0.442331 | 0.015951 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020833 | false | 0 | 0.104167 | 0 | 0.145833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c9af51ba1243be5af3bd0e724c771174bb964d2 | 1,007 | py | Python | problem_solving/python/algorithms/greedy/marcs_cakewalk.py | kcc3/hackerrank-solutions | f862b44b840bd447d99dc148f6bb5e2f5bfb8a86 | [
"MIT"
] | null | null | null | problem_solving/python/algorithms/greedy/marcs_cakewalk.py | kcc3/hackerrank-solutions | f862b44b840bd447d99dc148f6bb5e2f5bfb8a86 | [
"MIT"
] | null | null | null | problem_solving/python/algorithms/greedy/marcs_cakewalk.py | kcc3/hackerrank-solutions | f862b44b840bd447d99dc148f6bb5e2f5bfb8a86 | [
"MIT"
] | 1 | 2020-06-04T09:23:19.000Z | 2020-06-04T09:23:19.000Z | def marcs_cakewalk(calorie):
"""Hackerrank Problem: https://www.hackerrank.com/challenges/marcs-cakewalk/problem
Marc loves cupcakes, but he also likes to stay fit. Each cupcake has a calorie count, and Marc can walk a distance
to expend those calories. If Marc has eaten j cupcakes so far, after eating a c... | 37.296296 | 118 | 0.683217 | 154 | 1,007 | 4.38961 | 0.590909 | 0.096154 | 0.08432 | 0.056213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026008 | 0.236346 | 1,007 | 26 | 119 | 38.730769 | 0.853056 | 0.631579 | 0 | 0 | 0 | 0 | 0.024691 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c9bc57e7e9891072399e9288ee87401c640bfb4 | 1,583 | py | Python | coronaindiatracker/coronatracker/views.py | ankitgoswami23/CoronaIndiaTracker | b2e116a595b3c69ccefa93b60833c09aa07b5eed | [
"Unlicense"
] | 2 | 2020-07-26T05:57:27.000Z | 2020-07-26T07:12:15.000Z | coronaindiatracker/coronatracker/views.py | ankee23/CoronaIndiaTracker | b2e116a595b3c69ccefa93b60833c09aa07b5eed | [
"Unlicense"
] | null | null | null | coronaindiatracker/coronatracker/views.py | ankee23/CoronaIndiaTracker | b2e116a595b3c69ccefa93b60833c09aa07b5eed | [
"Unlicense"
] | 1 | 2020-11-26T08:52:11.000Z | 2020-11-26T08:52:11.000Z | from django.shortcuts import render
import requests
from bs4 import BeautifulSoup
def corona_data(request):
"Testaaaa"
corona_html = requests.get("https://www.mygov.in/covid-19")
soup = BeautifulSoup(corona_html.content, 'html.parser')
state_wise_data = soup.find_all('div', class_='views-row')
inf... | 45.228571 | 113 | 0.642451 | 201 | 1,583 | 4.840796 | 0.323383 | 0.071942 | 0.051387 | 0.077081 | 0.274409 | 0.248715 | 0.057554 | 0 | 0 | 0 | 0 | 0.009112 | 0.168035 | 1,583 | 34 | 114 | 46.558824 | 0.729689 | 0.005054 | 0 | 0 | 0 | 0 | 0.245736 | 0.013266 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.103448 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c9c1524555fded271e617bca48b5b1e6a1e9ace | 6,082 | py | Python | compare.py | geohackweek/ghw2019_wiggles | 9b636db8d97986e038a301e36b808e820ccc525f | [
"BSD-3-Clause"
] | 3 | 2019-10-09T19:42:12.000Z | 2021-05-28T00:10:54.000Z | compare.py | geohackweek/ghw2019_wiggles | 9b636db8d97986e038a301e36b808e820ccc525f | [
"BSD-3-Clause"
] | 1 | 2019-09-11T16:37:59.000Z | 2019-09-11T16:37:59.000Z | compare.py | geohackweek/ghw2019_wiggles | 9b636db8d97986e038a301e36b808e820ccc525f | [
"BSD-3-Clause"
] | 3 | 2019-09-10T20:41:59.000Z | 2019-09-10T20:42:57.000Z | # Script tests GPD model using UW truth data
# Test outputs:
# - type of event tested [EQS, EQP, SUS, SUP, THS, THP, SNS, SNP, PXS, PXP]
# - phase [P, S, N] Note: N - not detected
# - model time offset (t_truth - t_model_pick)
import numpy
import math
import string
import datetime
import sys
import os
im... | 37.312883 | 132 | 0.561822 | 824 | 6,082 | 4.01335 | 0.231796 | 0.023284 | 0.012096 | 0.015119 | 0.180224 | 0.151799 | 0.125189 | 0.125189 | 0.112489 | 0.112489 | 0 | 0.014822 | 0.290036 | 6,082 | 162 | 133 | 37.54321 | 0.751042 | 0.162775 | 0 | 0.101563 | 0 | 0 | 0.06065 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0.007813 | 0.070313 | 0 | 0.1875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c9c7b65355934d322e4085f42e442dbe2ee0d7d | 7,012 | py | Python | ultitrackerapi/ultitrackerapi/extract_and_upload_video.py | atheheath/ultitracker-api | 5d7ea7ae97c53faf02416f17baf11ed09fd55276 | [
"MIT"
] | null | null | null | ultitrackerapi/ultitrackerapi/extract_and_upload_video.py | atheheath/ultitracker-api | 5d7ea7ae97c53faf02416f17baf11ed09fd55276 | [
"MIT"
] | 7 | 2020-03-27T03:33:52.000Z | 2020-03-30T02:33:04.000Z | ultitrackerapi/ultitrackerapi/extract_and_upload_video.py | atheheath/ultitracker-api | 5d7ea7ae97c53faf02416f17baf11ed09fd55276 | [
"MIT"
] | null | null | null | import argparse
import boto3
import datetime
import json
import os
import posixpath
import re
import shutil
import tempfile
import uuid
from concurrent import futures
from multiprocessing import Pool
from ultitrackerapi import get_backend, get_logger, get_s3Client, video
backend_instance = get_backend()
logger = ... | 33.711538 | 138 | 0.673987 | 829 | 7,012 | 5.359469 | 0.19421 | 0.049516 | 0.079226 | 0.103984 | 0.367995 | 0.345712 | 0.269187 | 0.160927 | 0.059194 | 0.022507 | 0 | 0.005557 | 0.230034 | 7,012 | 208 | 139 | 33.711538 | 0.817374 | 0.00328 | 0 | 0.143713 | 0 | 0 | 0.23941 | 0.085861 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02994 | false | 0 | 0.077844 | 0 | 0.113772 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7c9c87d15e24804e84e87528b8a9f5ba5b08422f | 3,265 | py | Python | Chapter03/scikit_soft_voting_2knn.py | PacktPublishing/Hands-On-Ensemble-Learning-with-Python | db9b90189dbebbc6ab5ebba0e2e173ba80197c35 | [
"MIT"
] | 31 | 2019-07-21T00:36:52.000Z | 2022-02-25T15:38:21.000Z | Chapter03/scikit_soft_voting_2knn.py | tokiran/Hands-On-Ensemble-Learning-with-Python | 739ecda33fb75dc1df1366abf4a79c34cc0c2026 | [
"MIT"
] | null | null | null | Chapter03/scikit_soft_voting_2knn.py | tokiran/Hands-On-Ensemble-Learning-with-Python | 739ecda33fb75dc1df1366abf4a79c34cc0c2026 | [
"MIT"
] | 30 | 2019-07-06T00:22:44.000Z | 2022-02-04T02:44:17.000Z | # --- SECTION 1 ---
# Import the required libraries
from sklearn import datasets, naive_bayes, svm, neighbors
from sklearn.ensemble import VotingClassifier
from sklearn.metrics import accuracy_score
# Load the dataset
breast_cancer = datasets.load_breast_cancer()
x, y = breast_cancer.data, breast_cancer.target
... | 28.640351 | 92 | 0.67902 | 471 | 3,265 | 4.5138 | 0.26327 | 0.023518 | 0.016463 | 0.028222 | 0.182502 | 0.085607 | 0 | 0 | 0 | 0 | 0 | 0.032148 | 0.190199 | 3,265 | 113 | 93 | 28.893805 | 0.771936 | 0.266156 | 0 | 0 | 0 | 0 | 0.053452 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.087719 | 0 | 0.087719 | 0.087719 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca170e48f979878209316e327d77080c8c15058 | 2,662 | py | Python | qiskit/ml/datasets/iris.py | stefan-woerner/aqua | 12e1b867e254977d9c5992612a7919d8fe016cb4 | [
"Apache-2.0"
] | 504 | 2018-12-15T16:34:03.000Z | 2022-03-26T11:24:53.000Z | qiskit/ml/datasets/iris.py | stefan-woerner/aqua | 12e1b867e254977d9c5992612a7919d8fe016cb4 | [
"Apache-2.0"
] | 746 | 2018-12-16T16:44:42.000Z | 2021-07-10T16:59:43.000Z | qiskit/ml/datasets/iris.py | stefan-woerner/aqua | 12e1b867e254977d9c5992612a7919d8fe016cb4 | [
"Apache-2.0"
] | 421 | 2018-12-22T14:49:00.000Z | 2022-03-04T09:47:07.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 38.028571 | 78 | 0.696093 | 369 | 2,662 | 4.850949 | 0.403794 | 0.086034 | 0.06648 | 0.058659 | 0.157542 | 0.075978 | 0.036872 | 0.036872 | 0 | 0 | 0 | 0.011967 | 0.215252 | 2,662 | 69 | 79 | 38.57971 | 0.844902 | 0.258077 | 0 | 0.051282 | 0 | 0 | 0.026194 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.205128 | 0 | 0.25641 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca18b95086348a6dec0e89454f15ffded086574 | 16,864 | py | Python | tests/h/views/api_auth_test.py | discodavey/h | 7bff8478b3a5b936de82ac9fcd89b355f4afd3aa | [
"MIT"
] | null | null | null | tests/h/views/api_auth_test.py | discodavey/h | 7bff8478b3a5b936de82ac9fcd89b355f4afd3aa | [
"MIT"
] | 5 | 2017-12-26T14:22:20.000Z | 2018-04-02T02:56:38.000Z | tests/h/views/api_auth_test.py | discodavey/h | 7bff8478b3a5b936de82ac9fcd89b355f4afd3aa | [
"MIT"
] | 1 | 2021-03-12T09:45:04.000Z | 2021-03-12T09:45:04.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
import json
import mock
import pytest
from oauthlib.oauth2 import InvalidRequestFatalError
from oauthlib.common import Request as OAuthRequest
from pyramid import httpexceptions
from h._compat import urlparse
from h.exceptions import O... | 41.131707 | 147 | 0.694141 | 1,895 | 16,864 | 5.864908 | 0.111346 | 0.089437 | 0.027533 | 0.019435 | 0.684002 | 0.610041 | 0.560464 | 0.511337 | 0.474087 | 0.456271 | 0 | 0.007584 | 0.21027 | 16,864 | 409 | 148 | 41.232274 | 0.826926 | 0.001245 | 0 | 0.446254 | 0 | 0.003257 | 0.10801 | 0.013063 | 0 | 0 | 0 | 0 | 0.117264 | 1 | 0.153094 | false | 0 | 0.055375 | 0.009772 | 0.273616 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca1d5b32a32a25d088eb63410921b9a5e64742f | 1,306 | py | Python | tools/build/v2/test/conditionals.py | juslee/boost-svn | 6d5a03c1f5ed3e2b23bd0f3ad98d13ff33d4dcbb | [
"BSL-1.0"
] | 1 | 2018-12-15T19:55:56.000Z | 2018-12-15T19:55:56.000Z | tools/build/v2/test/conditionals.py | smart-make/boost | 46509a094f8a844eefd5bb8a0030b739a04d79e1 | [
"BSL-1.0"
] | null | null | null | tools/build/v2/test/conditionals.py | smart-make/boost | 46509a094f8a844eefd5bb8a0030b739a04d79e1 | [
"BSL-1.0"
] | null | null | null | #!/usr/bin/python
# Copyright 2003 Dave Abrahams
# Copyright 2002, 2003, 2004 Vladimir Prus
# Distributed under the Boost Software License, Version 1.0.
# (See accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
# Test conditional properties.
import BoostBuild
t = BoostBuild.Tester(... | 26.653061 | 78 | 0.712864 | 204 | 1,306 | 4.5 | 0.436275 | 0.098039 | 0.042484 | 0.052288 | 0.396514 | 0.305011 | 0.305011 | 0.305011 | 0.239651 | 0.239651 | 0 | 0.019147 | 0.120214 | 1,306 | 48 | 79 | 27.208333 | 0.779809 | 0.420368 | 0 | 0.5 | 0 | 0 | 0.560484 | 0.254032 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca44058ba24c0424d8558e54e0f3abd230491fa | 12,813 | py | Python | spiders/juejin_spider.py | sunhailin-Leo/TeamLeoX_BlogsCrawler | 389ff31e02bdff415c8bc470a3a48da1acb14c4c | [
"MIT"
] | null | null | null | spiders/juejin_spider.py | sunhailin-Leo/TeamLeoX_BlogsCrawler | 389ff31e02bdff415c8bc470a3a48da1acb14c4c | [
"MIT"
] | null | null | null | spiders/juejin_spider.py | sunhailin-Leo/TeamLeoX_BlogsCrawler | 389ff31e02bdff415c8bc470a3a48da1acb14c4c | [
"MIT"
] | null | null | null | import time
from typing import Dict, List, Tuple, Optional
from utils.logger_utils import LogManager
from utils.str_utils import check_is_json
from config import LOG_LEVEL, PROCESS_STATUS_FAIL
from utils.time_utils import datetime_str_change_fmt
from utils.exception_utils import LoginException, ParseDataException
from... | 42.287129 | 157 | 0.558807 | 1,371 | 12,813 | 4.873085 | 0.170678 | 0.048496 | 0.050292 | 0.019907 | 0.340668 | 0.256698 | 0.210148 | 0.161054 | 0.115552 | 0.094896 | 0 | 0.004866 | 0.342387 | 12,813 | 302 | 158 | 42.427152 | 0.788037 | 0.008039 | 0 | 0.172414 | 0 | 0 | 0.117652 | 0.039296 | 0 | 0 | 0 | 0.003311 | 0 | 1 | 0.030651 | false | 0.011494 | 0.034483 | 0 | 0.095785 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca486af10b1cca3904ea233b441a3077ec0bb6b | 3,653 | py | Python | NAS/PaddleSlim/train_supernet.py | naviocean/SimpleCVReproduction | 61b43e3583977f42e6f91ef176ec5e1701e98d33 | [
"Apache-2.0"
] | 923 | 2020-01-11T06:36:53.000Z | 2022-03-31T00:26:57.000Z | NAS/PaddleSlim/train_supernet.py | Twenty3hree/SimpleCVReproduction | 9939f8340c54dbd69b0017cecad875dccf428f26 | [
"Apache-2.0"
] | 25 | 2020-02-27T08:35:46.000Z | 2022-01-25T08:54:19.000Z | NAS/PaddleSlim/train_supernet.py | Twenty3hree/SimpleCVReproduction | 9939f8340c54dbd69b0017cecad875dccf428f26 | [
"Apache-2.0"
] | 262 | 2020-01-02T02:19:40.000Z | 2022-03-23T04:56:16.000Z | from paddle.vision.transforms import (
ToTensor, RandomHorizontalFlip, RandomResizedCrop, SaturationTransform, Compose,
HueTransform, BrightnessTransform, ContrastTransform, RandomCrop, Normalize, RandomRotation
)
from paddle.vision.datasets import Cifar100
from paddle.io import DataLoader
from paddle.optimizer... | 33.209091 | 108 | 0.680537 | 505 | 3,653 | 4.786139 | 0.306931 | 0.050062 | 0.056268 | 0.019859 | 0.274721 | 0.228382 | 0.201076 | 0.189905 | 0.189905 | 0.169632 | 0 | 0.112231 | 0.185327 | 3,653 | 109 | 109 | 33.513761 | 0.699933 | 0.163701 | 0 | 0.093023 | 0 | 0 | 0.040736 | 0.031866 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.116279 | 0 | 0.116279 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca4b5308f48cb161081920789f0cfaed577f79d | 28,560 | py | Python | slashtags/mixins/commands.py | Myst1c-a/phen-cogs | 672f9022ddbbd9a84b0a05357347e99e64a776fc | [
"MIT"
] | null | null | null | slashtags/mixins/commands.py | Myst1c-a/phen-cogs | 672f9022ddbbd9a84b0a05357347e99e64a776fc | [
"MIT"
] | null | null | null | slashtags/mixins/commands.py | Myst1c-a/phen-cogs | 672f9022ddbbd9a84b0a05357347e99e64a776fc | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2020-present phenom4n4n
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, pub... | 37.777778 | 165 | 0.630882 | 3,365 | 28,560 | 5.211293 | 0.144131 | 0.021442 | 0.040203 | 0.058964 | 0.401175 | 0.324133 | 0.271499 | 0.229642 | 0.203923 | 0.152372 | 0 | 0.003117 | 0.269818 | 28,560 | 755 | 166 | 37.827815 | 0.837585 | 0.042647 | 0 | 0.305369 | 0 | 0.001678 | 0.129653 | 0.013486 | 0 | 0 | 0.000315 | 0 | 0 | 1 | 0.006711 | false | 0.003356 | 0.031879 | 0 | 0.072148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca53e88f3dd2e94b942b008b7daf5b989a2b7df | 3,493 | py | Python | product_spider/spiders/jk_spider.py | Pandaaaa906/product_spider | cc7f865f53fd3ed68f4869be3ba917c8373dfcf2 | [
"MIT"
] | null | null | null | product_spider/spiders/jk_spider.py | Pandaaaa906/product_spider | cc7f865f53fd3ed68f4869be3ba917c8373dfcf2 | [
"MIT"
] | null | null | null | product_spider/spiders/jk_spider.py | Pandaaaa906/product_spider | cc7f865f53fd3ed68f4869be3ba917c8373dfcf2 | [
"MIT"
] | null | null | null | import json
import re
from string import ascii_uppercase
from time import time
from urllib.parse import urljoin
import scrapy
from more_itertools import first
from scrapy import Request
from product_spider.items import JkProduct, JKPackage
from product_spider.utils.functions import strip
class JkPrdSpider(scrapy.Sp... | 45.960526 | 142 | 0.566562 | 441 | 3,493 | 4.328798 | 0.310658 | 0.015715 | 0.026192 | 0.03143 | 0.147721 | 0.080671 | 0.030382 | 0.030382 | 0 | 0 | 0 | 0.004958 | 0.249356 | 3,493 | 75 | 143 | 46.573333 | 0.723112 | 0 | 0 | 0 | 0 | 0.015152 | 0.23361 | 0.073862 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.151515 | 0 | 0.287879 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca69cf8d56aa0d6b0aa339f56249d7cdfe3ab0c | 15,717 | py | Python | env/LaneChangeEnv_v2.py | byq-luo/Lane_change_RL | 3409238db939e6722441219b4c2dc66033611069 | [
"MIT"
] | 4 | 2021-03-11T03:05:31.000Z | 2022-03-22T08:45:20.000Z | env/LaneChangeEnv_v2.py | byq-luo/Lane_change_RL | 3409238db939e6722441219b4c2dc66033611069 | [
"MIT"
] | null | null | null | env/LaneChangeEnv_v2.py | byq-luo/Lane_change_RL | 3409238db939e6722441219b4c2dc66033611069 | [
"MIT"
] | 5 | 2021-06-18T11:32:34.000Z | 2021-12-31T08:10:51.000Z | import os
import sys
import random
import datetime
import gym
from gym import spaces
import numpy as np
from env.IDM import IDM
from env.Road import Road
from env.Vehicle import Vehicle
import math
# add sumo/tools into python environment
if 'SUMO_HOME' in os.environ:
tools = os.path.join(os.environ['SUMO_HOME'], ... | 40.507732 | 131 | 0.56283 | 1,965 | 15,717 | 4.38117 | 0.17659 | 0.062609 | 0.029388 | 0.026135 | 0.324196 | 0.261819 | 0.220815 | 0.176559 | 0.140434 | 0.128238 | 0 | 0.023418 | 0.326207 | 15,717 | 387 | 132 | 40.612403 | 0.789518 | 0.306674 | 0 | 0.153846 | 0 | 0 | 0.049113 | 0.016498 | 0 | 0 | 0 | 0.005168 | 0.027149 | 1 | 0.054299 | false | 0 | 0.054299 | 0.004525 | 0.140271 | 0.004525 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7ca6e02f50310d3c489fa5cfd14dac9866b27eaa | 5,466 | py | Python | cidr/o365/o365.py | jblukach/distillery | 4087debb496d7dfc4c425c2e68246e1b0726168b | [
"Apache-2.0"
] | 1 | 2021-11-10T12:56:09.000Z | 2021-11-10T12:56:09.000Z | cidr/o365/o365.py | jblukach/distillery | 4087debb496d7dfc4c425c2e68246e1b0726168b | [
"Apache-2.0"
] | null | null | null | cidr/o365/o365.py | jblukach/distillery | 4087debb496d7dfc4c425c2e68246e1b0726168b | [
"Apache-2.0"
] | 1 | 2021-11-05T03:16:32.000Z | 2021-11-05T03:16:32.000Z | import boto3
import ipaddress
import json
import logging
import os
import requests
import uuid
logger = logging.getLogger()
logger.setLevel(logging.INFO)
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table(os.environ['DYNAMODB_TABLE'])
client = boto3.client('ssm')
def downloader(instance, latest, param... | 47.12069 | 115 | 0.51921 | 486 | 5,466 | 5.794239 | 0.228395 | 0.035156 | 0.042614 | 0.049006 | 0.527699 | 0.470881 | 0.470881 | 0.401634 | 0.323509 | 0.323509 | 0 | 0.016733 | 0.354921 | 5,466 | 115 | 116 | 47.530435 | 0.781906 | 0 | 0 | 0.135922 | 0 | 0 | 0.212221 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019417 | false | 0.009709 | 0.067961 | 0 | 0.097087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |