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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b889e86e0a94bf54d90a0d8e3809a08fa855b2f6 | 200 | py | Python | zvt/recorders/joinquant/finance_qtr/__init__.py | markqiu/zvt | 1bcfb71279f2652c3600f0f8e45d941f98ceaa10 | [
"MIT"
] | 6 | 2020-09-03T10:02:00.000Z | 2021-02-04T02:51:47.000Z | zvt/recorders/joinquant/finance_qtr/__init__.py | wlwd13303/zvt | 23105a5bfdc3a5080c6c22d11e9e53d216688dea | [
"MIT"
] | null | null | null | zvt/recorders/joinquant/finance_qtr/__init__.py | wlwd13303/zvt | 23105a5bfdc3a5080c6c22d11e9e53d216688dea | [
"MIT"
] | 2 | 2020-07-08T04:15:40.000Z | 2021-06-08T08:51:31.000Z | # -*- coding: utf-8 -*-
from zvt.recorders.joinquant.finance_qtr.china_stock_income_statement_qtr_recorder import *
from zvt.recorders.joinquant.finance_qtr.china_stock_cash_flow_qtr_recorder import * | 66.666667 | 91 | 0.845 | 29 | 200 | 5.413793 | 0.586207 | 0.089172 | 0.203822 | 0.318471 | 0.573248 | 0.573248 | 0.573248 | 0.573248 | 0 | 0 | 0 | 0.005319 | 0.06 | 200 | 3 | 92 | 66.666667 | 0.829787 | 0.105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
b2149e5515a9b2e2fa6b855bf590d85d4ea54f3f | 110,591 | py | Python | qualys_cs_api/api/registry_api.py | jlk/qualys-cs-python-client | e2e39fd64d41fd6671d45343843ef36fa3ab59a4 | [
"Apache-2.0"
] | null | null | null | qualys_cs_api/api/registry_api.py | jlk/qualys-cs-python-client | e2e39fd64d41fd6671d45343843ef36fa3ab59a4 | [
"Apache-2.0"
] | null | null | null | qualys_cs_api/api/registry_api.py | jlk/qualys-cs-python-client | e2e39fd64d41fd6671d45343843ef36fa3ab59a4 | [
"Apache-2.0"
] | 1 | 2020-05-15T04:20:48.000Z | 2020-05-15T04:20:48.000Z | # coding: utf-8
"""
Container Security APIs
All features of the Container Security are available through REST APIs.<br/>Access support information at www.qualys.com/support/<br/><br/><b>Permissions:</b><br/>User must have the Container module enabled<br/>User must have API ACCESS permission # noqa: E501
... | 53.117675 | 489 | 0.62657 | 13,138 | 110,591 | 5.01606 | 0.024966 | 0.038725 | 0.059483 | 0.024582 | 0.979894 | 0.976692 | 0.974067 | 0.969758 | 0.965949 | 0.957421 | 0 | 0.01399 | 0.300675 | 110,591 | 2,081 | 490 | 53.1432 | 0.838115 | 0.475283 | 0 | 0.811518 | 0 | 0 | 0.194906 | 0.065861 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038743 | false | 0 | 0.005236 | 0 | 0.082723 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b29a6f3baaddf80c3b1e86a7874a671920097023 | 21,543 | py | Python | cinder/tests/unit/api/v3/test_group_snapshots.py | 2020human/cinder | 04528318848620e4ce2639ea2dd5323783dc7a1f | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/api/v3/test_group_snapshots.py | 2020human/cinder | 04528318848620e4ce2639ea2dd5323783dc7a1f | [
"Apache-2.0"
] | null | null | null | cinder/tests/unit/api/v3/test_group_snapshots.py | 2020human/cinder | 04528318848620e4ce2639ea2dd5323783dc7a1f | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2016 EMC Corporation.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 43.697769 | 78 | 0.570348 | 2,249 | 21,543 | 5.160071 | 0.088039 | 0.105299 | 0.046876 | 0.032572 | 0.821542 | 0.799052 | 0.78897 | 0.766738 | 0.751314 | 0.713744 | 0 | 0.007981 | 0.336954 | 21,543 | 492 | 79 | 43.786585 | 0.804467 | 0.032493 | 0 | 0.75644 | 0 | 0 | 0.097954 | 0.033388 | 0 | 0 | 0 | 0 | 0.103045 | 1 | 0.042155 | false | 0 | 0.035129 | 0 | 0.079625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b2ac571a355e52266fbb237ce4228917534e4002 | 88,425 | py | Python | examples/prevention.py | git-afsantos/hpl-rv-gen | 3ffb2298bc8706669b00980b01e9e23fffdd839a | [
"MIT"
] | 1 | 2021-07-16T05:19:27.000Z | 2021-07-16T05:19:27.000Z | examples/prevention.py | git-afsantos/hpl-rv-gen | 3ffb2298bc8706669b00980b01e9e23fffdd839a | [
"MIT"
] | null | null | null | examples/prevention.py | git-afsantos/hpl-rv-gen | 3ffb2298bc8706669b00980b01e9e23fffdd839a | [
"MIT"
] | null | null | null | class PropertyMonitor(object):
__slots__ = (
'_lock', # concurrency control
'_state', # currently active state
'_pool', # MsgRecord deque to hold temporary records
'witness', # MsgRecord list of observed events
'on_enter_scope', # callback upo... | 35.684019 | 177 | 0.496692 | 9,952 | 88,425 | 4.185993 | 0.015072 | 0.082191 | 0.049641 | 0.060059 | 0.996783 | 0.995727 | 0.995727 | 0.995727 | 0.995727 | 0.995727 | 0 | 0.015033 | 0.407215 | 88,425 | 2,477 | 178 | 35.698426 | 0.779728 | 0.079073 | 0 | 0.974268 | 0 | 0.006655 | 0.075354 | 0 | 0 | 0 | 0 | 0 | 0.033718 | 1 | 0.075421 | false | 0.007542 | 0 | 0.001775 | 0.22449 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a27c5c33826f2e8ec0d032de4fd8df3852021af2 | 142 | py | Python | gym-sapyen/gym_sapyen/envs/__init__.py | MRzNone/SAPIEN-Release | ae6662b7fb8f3c65a0eb6bb3bc3d7d53001d846e | [
"MIT"
] | null | null | null | gym-sapyen/gym_sapyen/envs/__init__.py | MRzNone/SAPIEN-Release | ae6662b7fb8f3c65a0eb6bb3bc3d7d53001d846e | [
"MIT"
] | null | null | null | gym-sapyen/gym_sapyen/envs/__init__.py | MRzNone/SAPIEN-Release | ae6662b7fb8f3c65a0eb6bb3bc3d7d53001d846e | [
"MIT"
] | null | null | null | from gym_sapyen.envs.sapyen_env import SapyenEnv
from gym_sapyen.envs.ant import AntEnv
from gym_sapyen.envs.halfcheetah import HalfCheetahEnv | 47.333333 | 54 | 0.880282 | 22 | 142 | 5.5 | 0.5 | 0.173554 | 0.322314 | 0.421488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.077465 | 142 | 3 | 54 | 47.333333 | 0.923664 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a2b28096582d4145484b6da7a11a47227a7b2ba0 | 247 | py | Python | ALC/__init__.py | SimiPixel/automatic_label_correction | c3e785cd9e2b185b4306e92677c1838a883eb2b3 | [
"MIT"
] | null | null | null | ALC/__init__.py | SimiPixel/automatic_label_correction | c3e785cd9e2b185b4306e92677c1838a883eb2b3 | [
"MIT"
] | null | null | null | ALC/__init__.py | SimiPixel/automatic_label_correction | c3e785cd9e2b185b4306e92677c1838a883eb2b3 | [
"MIT"
] | null | null | null | from .automatic_data_enhancement import AutomaticDataEnhancement
from .binary_cluster_correction import BinaryClusterCorrection
from .cluster_correction import ClusterCorrection
from .nearest_neighbour_correction import NearestNeighbourCorrection
| 49.4 | 68 | 0.919028 | 23 | 247 | 9.565217 | 0.608696 | 0.218182 | 0.209091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064777 | 247 | 4 | 69 | 61.75 | 0.952381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a2b714ee9389e69c22aa48c443cfc3b99f807e9c | 60,306 | py | Python | setup.py | Halftruth08/Game_AI | 629dbe9481568b024495c64e97fff27215bd606b | [
"MIT"
] | 1 | 2017-09-26T13:23:34.000Z | 2017-09-26T13:23:34.000Z | setup.py | Halftruth08/Game_AI | 629dbe9481568b024495c64e97fff27215bd606b | [
"MIT"
] | 5 | 2019-06-15T17:22:32.000Z | 2021-03-22T17:15:59.000Z | setup.py | Halftruth08/Game_AI | 629dbe9481568b024495c64e97fff27215bd606b | [
"MIT"
] | 1 | 2017-09-25T01:01:09.000Z | 2017-09-25T01:01:09.000Z | from setuptools import setup
setup(
name='codenames',
version='0.1.0',
packages=['virtualenv.lib.python3.6.distutils', 'virtualenv.lib.python3.6.encodings',
'virtualenv.lib.python3.6.importlib', 'virtualenv.lib.python3.6.collections',
'virtualenv.lib.python3.6.site-packages.pip'... | 86.398281 | 122 | 0.692502 | 6,949 | 60,306 | 5.976256 | 0.054252 | 0.221315 | 0.340485 | 0.357509 | 0.975896 | 0.974476 | 0.969708 | 0.910544 | 0.714007 | 0.513304 | 0 | 0.029645 | 0.171592 | 60,306 | 697 | 123 | 86.522238 | 0.801633 | 0 | 0 | 0 | 0 | 0.238506 | 0.791331 | 0.789606 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.00431 | 0 | 0.00431 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
a2d8f9980da6372870482a9f917bf39f100c872e | 17,445 | py | Python | dev/writeCCode.py | gmarupilla/libSEDML | 3a2a207d78afccefb4389b65fea9eeb7e446d09e | [
"BSD-2-Clause"
] | 1 | 2020-10-21T01:41:14.000Z | 2020-10-21T01:41:14.000Z | dev/writeCCode.py | gmarupilla/libSEDML | 3a2a207d78afccefb4389b65fea9eeb7e446d09e | [
"BSD-2-Clause"
] | null | null | null | dev/writeCCode.py | gmarupilla/libSEDML | 3a2a207d78afccefb4389b65fea9eeb7e446d09e | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
#
# @file writeCCode.py
# @brief Create the C code for a class
# @author Sarah Keating
#
import sys
import fileHeaders
import generalFunctions
import strFunctions
def writeConstructors(element, package, output):
indent = strFunctions.getIndent(element)
output.write('/**\n')
output.writ... | 44.27665 | 203 | 0.63961 | 2,303 | 17,445 | 4.780287 | 0.067738 | 0.249796 | 0.146062 | 0.085021 | 0.823781 | 0.801254 | 0.786902 | 0.774185 | 0.764647 | 0.743937 | 0 | 0.015597 | 0.136314 | 17,445 | 394 | 204 | 44.27665 | 0.715073 | 0.038005 | 0 | 0.686441 | 0 | 0.048023 | 0.297202 | 0.042415 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031073 | false | 0 | 0.011299 | 0 | 0.062147 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a2f4ad23bbab3adab7c1544d3c0fa638f2eaf743 | 10,113 | py | Python | attacks/weights/norms.py | davidstutz/random-bit-error-robustness | 59d8533c8db87ba1b220a64032cf929e5d67fbfa | [
"Unlicense"
] | null | null | null | attacks/weights/norms.py | davidstutz/random-bit-error-robustness | 59d8533c8db87ba1b220a64032cf929e5d67fbfa | [
"Unlicense"
] | null | null | null | attacks/weights/norms.py | davidstutz/random-bit-error-robustness | 59d8533c8db87ba1b220a64032cf929e5d67fbfa | [
"Unlicense"
] | null | null | null | """
Norms for weight attacks.
"""
import torch
import common.torch
class Norm:
def __init__(self):
"""
Constructor.
"""
self.norms = []
""" ([float]) Norms per layer. """
def __call__(self, model, perturbed_model, layers, quantization=None, quantization_contexts=None)... | 34.397959 | 119 | 0.641452 | 1,064 | 10,113 | 5.941729 | 0.085526 | 0.126542 | 0.048086 | 0.045555 | 0.909206 | 0.909206 | 0.909206 | 0.903353 | 0.890066 | 0.890066 | 0 | 0.002995 | 0.273707 | 10,113 | 293 | 120 | 34.515358 | 0.857726 | 0.35311 | 0 | 0.775862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043103 | 1 | 0.086207 | false | 0 | 0.017241 | 0 | 0.232759 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0c44919ccc746bfb862c413a0d310cce9b8d061d | 178 | py | Python | app/models/__init__.py | galbino/miocardiopediatra | 8b60bbce45d15616058a81f6c329f6eaa063f07f | [
"MIT"
] | null | null | null | app/models/__init__.py | galbino/miocardiopediatra | 8b60bbce45d15616058a81f6c329f6eaa063f07f | [
"MIT"
] | 2 | 2019-11-06T00:37:17.000Z | 2019-11-07T23:10:06.000Z | app/models/__init__.py | galbino/miocardiopediatra | 8b60bbce45d15616058a81f6c329f6eaa063f07f | [
"MIT"
] | null | null | null | from app.models.User import User
from app.models.FAQ import *
from app.models.Anamnese import *
from app.models.Especialidade import Especialidade
from app.models.Exame import *
| 29.666667 | 50 | 0.814607 | 27 | 178 | 5.37037 | 0.333333 | 0.241379 | 0.448276 | 0.262069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11236 | 178 | 5 | 51 | 35.6 | 0.917722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
0c56c33d49106d0a495d02e8a344adb562ac79a6 | 98 | py | Python | src/__main__.py | AlbertSuarez/hackeps-pokemonwebspider | 362502e6dd89055c9311cbf7981a8477da32dc53 | [
"MIT"
] | null | null | null | src/__main__.py | AlbertSuarez/hackeps-pokemonwebspider | 362502e6dd89055c9311cbf7981a8477da32dc53 | [
"MIT"
] | null | null | null | src/__main__.py | AlbertSuarez/hackeps-pokemonwebspider | 362502e6dd89055c9311cbf7981a8477da32dc53 | [
"MIT"
] | 1 | 2019-11-10T21:27:22.000Z | 2019-11-10T21:27:22.000Z | from src import pokemon_web_spider
if __name__ == '__main__':
pokemon_web_spider.generate()
| 16.333333 | 34 | 0.765306 | 13 | 98 | 4.846154 | 0.769231 | 0.31746 | 0.507937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153061 | 98 | 5 | 35 | 19.6 | 0.759036 | 0 | 0 | 0 | 1 | 0 | 0.081633 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
38f22b58d7d098238b57358da5d33d853ef1c2af | 135 | py | Python | generic/data_provider/batchifier.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | generic/data_provider/batchifier.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | generic/data_provider/batchifier.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | class AbstractBatchifier(object):
def filter(self, games):
return games
def apply(self, games):
return games
| 16.875 | 33 | 0.637037 | 15 | 135 | 5.733333 | 0.6 | 0.209302 | 0.348837 | 0.465116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.281481 | 135 | 7 | 34 | 19.285714 | 0.886598 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.4 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 8 |
ac2c91cbd1075ba7e524560567d07e5c0bf7ab9a | 4,005 | py | Python | helper_scripts/csv_to_items.py | osagha/turktools | 389c1243e837e946080b28a5ca83faf62890f4b4 | [
"Unlicense",
"MIT"
] | null | null | null | helper_scripts/csv_to_items.py | osagha/turktools | 389c1243e837e946080b28a5ca83faf62890f4b4 | [
"Unlicense",
"MIT"
] | null | null | null | helper_scripts/csv_to_items.py | osagha/turktools | 389c1243e837e946080b28a5ca83faf62890f4b4 | [
"Unlicense",
"MIT"
] | null | null | null | import csv
contexts = ['context-low-bias', 'context-positive-bias', 'context-negative-bias']
answers = ['answer-high-certainty', 'answer-low-certainty', 'answer-reductive-answer', 'answer-exhaustive-answer', 'answer-non-answer']
# create prior items text file
out_file_lines = []
with open('stimuli/relevance_stimuli_a... | 37.429907 | 135 | 0.609238 | 520 | 4,005 | 4.523077 | 0.119231 | 0.10119 | 0.173469 | 0.19898 | 0.869048 | 0.869048 | 0.869048 | 0.869048 | 0.812925 | 0.796344 | 0 | 0.002701 | 0.260424 | 4,005 | 106 | 136 | 37.783019 | 0.791357 | 0.03221 | 0 | 0.829545 | 0 | 0 | 0.200207 | 0.132266 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.011364 | 0 | 0.011364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
ac575718613b23892ad7b591cc5481cee6c07fa5 | 48 | py | Python | src/blueprints/credit/__init__.py | ingvalles/serverless-flask-challenge | ff5c8d2b31fd49d5c9e39648589974dd2a39e1de | [
"Unlicense"
] | null | null | null | src/blueprints/credit/__init__.py | ingvalles/serverless-flask-challenge | ff5c8d2b31fd49d5c9e39648589974dd2a39e1de | [
"Unlicense"
] | null | null | null | src/blueprints/credit/__init__.py | ingvalles/serverless-flask-challenge | ff5c8d2b31fd49d5c9e39648589974dd2a39e1de | [
"Unlicense"
] | null | null | null | from src.blueprints.credit.routes import credit
| 24 | 47 | 0.854167 | 7 | 48 | 5.857143 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 48 | 1 | 48 | 48 | 0.931818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 7 |
ac8c2ee215c64ae21ae469430899615208b6d6f2 | 184 | py | Python | colour/volume/datasets/__init__.py | OmarWagih1/colour | bdc880a2783ff523dafb19f1233212dd03a639bd | [
"BSD-3-Clause"
] | 2 | 2020-06-20T03:44:41.000Z | 2020-06-20T14:08:41.000Z | colour/volume/datasets/__init__.py | OmarWagih1/colour | bdc880a2783ff523dafb19f1233212dd03a639bd | [
"BSD-3-Clause"
] | null | null | null | colour/volume/datasets/__init__.py | OmarWagih1/colour | bdc880a2783ff523dafb19f1233212dd03a639bd | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from .optimal_colour_stimuli import ILLUMINANT_OPTIMAL_COLOUR_STIMULI
__all__ = ['ILLUMINANT_OPTIMAL_COLOUR_STIMULI']
| 23 | 69 | 0.815217 | 22 | 184 | 6.045455 | 0.545455 | 0.293233 | 0.451128 | 0.451128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006061 | 0.103261 | 184 | 7 | 70 | 26.285714 | 0.8 | 0.11413 | 0 | 0 | 0 | 0 | 0.204969 | 0.204969 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
3bd75b583dc60920dbaa3159e030e85ba8dbd63c | 571 | py | Python | Examples/TV_Remote/pronto_code_converter.py | alex-sherman/MRPC-ESP8266 | 5e7cef34657411b026fed933b84594c8a446af93 | [
"MIT"
] | 2 | 2017-09-28T21:29:26.000Z | 2021-02-02T05:36:58.000Z | Examples/TV_Remote/pronto_code_converter.py | alex-sherman/MRPC-ESP8266 | 5e7cef34657411b026fed933b84594c8a446af93 | [
"MIT"
] | null | null | null | Examples/TV_Remote/pronto_code_converter.py | alex-sherman/MRPC-ESP8266 | 5e7cef34657411b026fed933b84594c8a446af93 | [
"MIT"
] | 1 | 2017-03-13T02:30:54.000Z | 2017-03-13T02:30:54.000Z | # Some sites give IR codes in this weird pronto format
# Cut off the preamble and footer and find which value represents a 1 in the spacing
code = "0000 0016 0000 0016 0000 0016 0000 003F 0000 003F 0000 003F 0000 0016 0000 003F 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0000 0016 0... | 95.166667 | 333 | 0.744308 | 110 | 571 | 3.863636 | 0.354545 | 0.376471 | 0.564706 | 0.451765 | 0.611765 | 0.611765 | 0.611765 | 0.611765 | 0.611765 | 0.489412 | 0 | 0.555076 | 0.189142 | 571 | 6 | 334 | 95.166667 | 0.362851 | 0.236427 | 0 | 0 | 0 | 0.5 | 0.762673 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9 |
3bf9fdfba2dc1f0af5d203127895ff577f3f1ab5 | 81 | py | Python | kevin/developing/notation/__init__.py | cantbeblank96/kevin_toolbox | a258b2a42c9b4d042decb193354ecb7419bd837c | [
"MIT"
] | null | null | null | kevin/developing/notation/__init__.py | cantbeblank96/kevin_toolbox | a258b2a42c9b4d042decb193354ecb7419bd837c | [
"MIT"
] | null | null | null | kevin/developing/notation/__init__.py | cantbeblank96/kevin_toolbox | a258b2a42c9b4d042decb193354ecb7419bd837c | [
"MIT"
] | null | null | null | from .write import Kevin_Notation_Writer
from .read import Kevin_Notation_Reader
| 27 | 40 | 0.876543 | 12 | 81 | 5.583333 | 0.666667 | 0.328358 | 0.567164 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.098765 | 81 | 2 | 41 | 40.5 | 0.917808 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
0202146ed214ebaff3e8bfae0e22f1064cdd5442 | 154 | py | Python | test/test_fan_failure.py | erichaase/topcoder-python | de285d8092a94f2ec1b5c0c33eba55b5c27a5390 | [
"MIT"
] | 1 | 2017-03-25T17:40:57.000Z | 2017-03-25T17:40:57.000Z | test/test_fan_failure.py | erichaase/topcoder-python | de285d8092a94f2ec1b5c0c33eba55b5c27a5390 | [
"MIT"
] | null | null | null | test/test_fan_failure.py | erichaase/topcoder-python | de285d8092a94f2ec1b5c0c33eba55b5c27a5390 | [
"MIT"
] | null | null | null | from test.assert_json import assert_json
from topcoder.fan_failure import solution
def test_fan_failure ():
assert_json('fan_failure', solution)
| 25.666667 | 44 | 0.792208 | 22 | 154 | 5.227273 | 0.454545 | 0.26087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 154 | 5 | 45 | 30.8 | 0.871212 | 0 | 0 | 0 | 0 | 0 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.25 | true | 0 | 0.5 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
028892e3e48151db42f67943eea0c8cb278ee0f9 | 1,764 | py | Python | Homework/2.homework/Tests/test_add.py | mevljas/Quality_and_testing | 6a39610084b1538eae270682a6842270e8971b7f | [
"MIT"
] | null | null | null | Homework/2.homework/Tests/test_add.py | mevljas/Quality_and_testing | 6a39610084b1538eae270682a6842270e8971b7f | [
"MIT"
] | null | null | null | Homework/2.homework/Tests/test_add.py | mevljas/Quality_and_testing | 6a39610084b1538eae270682a6842270e8971b7f | [
"MIT"
] | null | null | null | import pexpect
def test_bst_print():
baza = pexpect.pexpect()
try:
baza.expect("command>")
baza.send("add")
baza.expect("add> EMSO:")
baza.send("3105940500232")
baza.expect("add> NAME:")
baza.send("Janez Albert")
baza.expect("add> SURNAME:")
b... | 24.164384 | 48 | 0.524376 | 195 | 1,764 | 4.671795 | 0.220513 | 0.285401 | 0.228321 | 0.115258 | 0.787047 | 0.759605 | 0.759605 | 0.759605 | 0.759605 | 0.759605 | 0 | 0.046266 | 0.301587 | 1,764 | 72 | 49 | 24.5 | 0.693182 | 0 | 0 | 0.672414 | 0 | 0 | 0.266024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.017241 | 0.017241 | null | null | 0.068966 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
5a32a99db50efa45125e7e6383dc64180d794e73 | 39,026 | py | Python | scripts/tf_cnn_benchmarks/leading_indicators_test.py | kyuucr/benchmarks | 5054769776afbec4f920d6e4b6d4dc325a9ed1d2 | [
"Apache-2.0"
] | null | null | null | scripts/tf_cnn_benchmarks/leading_indicators_test.py | kyuucr/benchmarks | 5054769776afbec4f920d6e4b6d4dc325a9ed1d2 | [
"Apache-2.0"
] | null | null | null | scripts/tf_cnn_benchmarks/leading_indicators_test.py | kyuucr/benchmarks | 5054769776afbec4f920d6e4b6d4dc325a9ed1d2 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 36.269517 | 106 | 0.709527 | 5,089 | 39,026 | 5.097662 | 0.082138 | 0.060597 | 0.064143 | 0.086501 | 0.807455 | 0.792113 | 0.770989 | 0.756341 | 0.732673 | 0.715866 | 0 | 0.029255 | 0.189822 | 39,026 | 1,075 | 107 | 36.303256 | 0.791227 | 0.203198 | 0 | 0.718367 | 0 | 0 | 0.070934 | 0.003906 | 0 | 0 | 0 | 0.00186 | 0.001361 | 1 | 0.161905 | false | 0 | 0.016327 | 0.005442 | 0.221769 | 0.005442 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5a555d4a5772cfcd1bdc368d802d1889747b5363 | 7,372 | py | Python | gcp/api/osv_service_v1_pb2_grpc.py | pombredanne/osv | 1763d62d5780d20f142f79fb6c4d98b27fe4e8ca | [
"Apache-2.0"
] | 483 | 2021-02-05T18:54:17.000Z | 2022-03-29T20:38:07.000Z | gcp/api/osv_service_v1_pb2_grpc.py | pombredanne/osv | 1763d62d5780d20f142f79fb6c4d98b27fe4e8ca | [
"Apache-2.0"
] | 142 | 2021-02-05T23:35:58.000Z | 2022-03-31T04:18:12.000Z | gcp/api/osv_service_v1_pb2_grpc.py | pombredanne/osv | 1763d62d5780d20f142f79fb6c4d98b27fe4e8ca | [
"Apache-2.0"
] | 63 | 2021-02-06T11:50:39.000Z | 2022-03-30T09:42:34.000Z | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from osv import vulnerability_pb2 as osv_dot_vulnerability__pb2
import osv_service_v1_pb2 as osv__service__v1__pb2
class OSVStub(object):
"""Open source vu... | 41.886364 | 99 | 0.662235 | 677 | 7,372 | 6.849335 | 0.155096 | 0.043131 | 0.051758 | 0.064697 | 0.805693 | 0.797714 | 0.758896 | 0.726116 | 0.726116 | 0.726116 | 0 | 0.010513 | 0.264514 | 7,372 | 175 | 100 | 42.125714 | 0.844707 | 0.085323 | 0 | 0.661654 | 1 | 0 | 0.068103 | 0.030737 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075188 | false | 0 | 0.022556 | 0.030075 | 0.150376 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
ce4545d81de8d9b80a2abfb8e8e25f1c2f19f7cb | 463 | py | Python | api/mon/tasks.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 97 | 2016-11-15T14:44:23.000Z | 2022-03-13T18:09:15.000Z | api/mon/tasks.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 334 | 2016-11-17T19:56:57.000Z | 2022-03-18T10:45:53.000Z | api/mon/tasks.py | klebed/esdc-ce | 2c9e4591f344247d345a83880ba86777bb794460 | [
"Apache-2.0"
] | 33 | 2017-01-02T16:04:13.000Z | 2022-02-07T19:20:24.000Z | # noinspection PyUnresolvedReferences
from api.mon.base.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.mon.vm.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.mon.node.tasks import * # noqa: F401,F403
# noinspection PyUnresolvedReferences
from api.mon.a... | 42.090909 | 62 | 0.792657 | 56 | 463 | 6.553571 | 0.267857 | 0.463215 | 0.517711 | 0.558583 | 0.956403 | 0.773842 | 0.773842 | 0.773842 | 0.773842 | 0.773842 | 0 | 0.073529 | 0.118791 | 463 | 10 | 63 | 46.3 | 0.82598 | 0.559395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 12 |
ce8be91c6ee2caf166dd7dcbb46b7c7dc59a529d | 5,993 | py | Python | loldib/getratings/models/NA/na_vi/na_vi_top.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_vi/na_vi_top.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_vi/na_vi_top.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from getratings.models.ratings import Ratings
class NA_Vi_Top_Aatrox(Ratings):
pass
class NA_Vi_Top_Ahri(Ratings):
pass
class NA_Vi_Top_Akali(Ratings):
pass
class NA_Vi_Top_Alistar(Ratings):
pass
class NA_Vi_Top_Amumu(Ratings):
pass
class NA_Vi_Top_Anivia(Ratings):
pass
class NA_Vi_Top_... | 14.371703 | 46 | 0.745203 | 972 | 5,993 | 4.168724 | 0.151235 | 0.238401 | 0.306515 | 0.408687 | 0.777641 | 0.777641 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185383 | 5,993 | 416 | 47 | 14.40625 | 0.829988 | 0 | 0 | 0.498195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498195 | 0.00361 | 0 | 0.501805 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
0c99c3535e0be2a2018d4456b0f4326cea4fa65f | 28,885 | py | Python | sdk/luminesce/api/multi_query_execution_api.py | finbourne/luminesce-sdk-python-preview | 7af198cfa9c0fbd619272fb90601162fb7db0a67 | [
"MIT"
] | null | null | null | sdk/luminesce/api/multi_query_execution_api.py | finbourne/luminesce-sdk-python-preview | 7af198cfa9c0fbd619272fb90601162fb7db0a67 | [
"MIT"
] | null | null | null | sdk/luminesce/api/multi_query_execution_api.py | finbourne/luminesce-sdk-python-preview | 7af198cfa9c0fbd619272fb90601162fb7db0a67 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
FINBOURNE Honeycomb Web API
FINBOURNE Technology # noqa: E501
The version of the OpenAPI document: 1.9.129
Contact: info@finbourne.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 c... | 54.193246 | 788 | 0.635451 | 3,549 | 28,885 | 4.988166 | 0.107354 | 0.034796 | 0.056149 | 0.018302 | 0.908151 | 0.895272 | 0.887194 | 0.884709 | 0.85172 | 0.82664 | 0 | 0.019399 | 0.293301 | 28,885 | 532 | 789 | 54.295113 | 0.847352 | 0.555859 | 0 | 0.588745 | 1 | 0 | 0.195758 | 0.040446 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.021645 | 0 | 0.082251 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0c9ed086afaf750c83021054897bc97fb22f031d | 26,990 | py | Python | tests/test_observable/test_merge.py | christiansandberg/RxPY | 036027d2858ea6c9d45839c863bd791e5bb50c36 | [
"MIT"
] | null | null | null | tests/test_observable/test_merge.py | christiansandberg/RxPY | 036027d2858ea6c9d45839c863bd791e5bb50c36 | [
"MIT"
] | null | null | null | tests/test_observable/test_merge.py | christiansandberg/RxPY | 036027d2858ea6c9d45839c863bd791e5bb50c36 | [
"MIT"
] | null | null | null | import unittest
import reactivex
from reactivex import operators as ops
from reactivex.testing import ReactiveTest, TestScheduler
on_next = ReactiveTest.on_next
on_completed = ReactiveTest.on_completed
on_error = ReactiveTest.on_error
subscribe = ReactiveTest.subscribe
subscribed = ReactiveTest.subscribed
disposed = ... | 31.09447 | 88 | 0.496925 | 2,946 | 26,990 | 4.311948 | 0.064834 | 0.15209 | 0.065496 | 0.085964 | 0.908683 | 0.89412 | 0.87869 | 0.859167 | 0.853893 | 0.806266 | 0 | 0.113624 | 0.395443 | 26,990 | 867 | 89 | 31.130334 | 0.664889 | 0 | 0 | 0.803689 | 0 | 0 | 0.000741 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 1 | 0.083004 | false | 0 | 0.00527 | 0.040843 | 0.130435 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0cc2079f06f690caddc243dc13586990eb90d47f | 14,806 | py | Python | test/test_docker.py | ai-traders/dojo | ad5a2490ccab466f80a0840d7d98688540817239 | [
"Apache-2.0"
] | 9 | 2019-03-13T10:46:06.000Z | 2019-07-16T19:28:22.000Z | test/test_docker.py | ai-traders/dojo | ad5a2490ccab466f80a0840d7d98688540817239 | [
"Apache-2.0"
] | 4 | 2019-02-05T16:07:42.000Z | 2019-05-03T11:06:28.000Z | test/test_docker.py | ai-traders/dojo | ad5a2490ccab466f80a0840d7d98688540817239 | [
"Apache-2.0"
] | 1 | 2019-03-05T19:38:43.000Z | 2019-03-05T19:38:43.000Z | from test.support.common import *
def clean_up_docker_container():
run_shell('docker ps -a -q --filter "name=testdojorunid" | xargs --no-run-if-empty docker stop')
run_shell('docker ps -a -q --filter "name=testdojorunid" | xargs --no-run-if-empty docker rm')
def test_docker_container_is_removed():
resul... | 54.634686 | 177 | 0.749088 | 2,150 | 14,806 | 4.879535 | 0.104186 | 0.115528 | 0.173291 | 0.202173 | 0.856925 | 0.823849 | 0.806691 | 0.787818 | 0.753026 | 0.73482 | 0 | 0.018794 | 0.141091 | 14,806 | 271 | 178 | 54.634686 | 0.806165 | 0.128326 | 0 | 0.610526 | 0 | 0.015789 | 0.246558 | 0.066423 | 0 | 0 | 0 | 0 | 0.526316 | 1 | 0.084211 | false | 0.005263 | 0.005263 | 0 | 0.089474 | 0.010526 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
0cd6679e257b3859ec55fb663a117a00ac93c258 | 8,972 | py | Python | scripts/achived/post_plotting.py | nmningmei/metacognition | 734082e247cc7fc9d277563e2676e10692617a3f | [
"MIT"
] | 3 | 2019-07-09T15:37:46.000Z | 2019-07-17T16:28:02.000Z | scripts/achived/post_plotting.py | nmningmei/metacognition | 734082e247cc7fc9d277563e2676e10692617a3f | [
"MIT"
] | null | null | null | scripts/achived/post_plotting.py | nmningmei/metacognition | 734082e247cc7fc9d277563e2676e10692617a3f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 23 22:48:24 2018
@author: ning
"""
import os
working_dir = ''
import pandas as pd
pd.options.mode.chained_assignment = None
import seaborn as sns
import numpy as np
from sklearn.model_selection import StratifiedKFold,permutation_test_score
from sklearn.ensemble import Ran... | 40.414414 | 90 | 0.372938 | 731 | 8,972 | 4.477428 | 0.218878 | 0.014665 | 0.029331 | 0.027498 | 0.81821 | 0.776963 | 0.759242 | 0.750076 | 0.729911 | 0.729911 | 0 | 0.022852 | 0.47325 | 8,972 | 221 | 91 | 40.597285 | 0.6697 | 0.244204 | 0 | 0.714286 | 0 | 0 | 0.203594 | 0.032248 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.079365 | 0 | 0.079365 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0b8db954c70b52760627e847eac6c2834e104e9e | 879 | py | Python | unit_test/sklearn_like_toolkit/search_param/test_ParamOpt.py | demetoir/MLtools | 8c42fcd4cc71728333d9c116ade639fe57d50d37 | [
"MIT"
] | null | null | null | unit_test/sklearn_like_toolkit/search_param/test_ParamOpt.py | demetoir/MLtools | 8c42fcd4cc71728333d9c116ade639fe57d50d37 | [
"MIT"
] | null | null | null | unit_test/sklearn_like_toolkit/search_param/test_ParamOpt.py | demetoir/MLtools | 8c42fcd4cc71728333d9c116ade639fe57d50d37 | [
"MIT"
] | null | null | null | from script.sklearn_like_toolkit.ClassifierPack import ClassifierPack
from script.sklearn_like_toolkit.param_search.ParamOpt import ParamOpt
def test_ParamOpt():
clf_pack = ClassifierPack(['skDecisionTreeClf'])
dtree = clf_pack['skDecisionTreeClf']
from sklearn.datasets import load_iris
data... | 26.636364 | 71 | 0.671217 | 117 | 879 | 4.854701 | 0.299145 | 0.049296 | 0.059859 | 0.073944 | 0.852113 | 0.753521 | 0.753521 | 0.753521 | 0.753521 | 0.753521 | 0 | 0.014706 | 0.226394 | 879 | 32 | 72 | 27.46875 | 0.820588 | 0 | 0 | 0.782609 | 0 | 0 | 0.080283 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.173913 | 0 | 0.217391 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0b9ab4f2b169b1bcf3ff597e2b67e4659d98c4a4 | 2,297 | py | Python | tests/terraform/checks/provider/aws/test_credentials.py | jamesholland-uk/checkov | d73fd4bd7096d48ab3434a92a177bcc55605460a | [
"Apache-2.0"
] | 1 | 2022-02-20T21:20:39.000Z | 2022-02-20T21:20:39.000Z | tests/terraform/checks/provider/aws/test_credentials.py | jamesholland-uk/checkov | d73fd4bd7096d48ab3434a92a177bcc55605460a | [
"Apache-2.0"
] | 3 | 2022-03-07T20:37:31.000Z | 2022-03-21T20:20:14.000Z | tests/terraform/checks/provider/aws/test_credentials.py | jamesholland-uk/checkov | d73fd4bd7096d48ab3434a92a177bcc55605460a | [
"Apache-2.0"
] | null | null | null | import unittest
import hcl2
from checkov.terraform.checks.provider.aws.credentials import check
from checkov.common.models.enums import CheckResult
class TestCredentials(unittest.TestCase):
def test_success_empty(self):
hcl_res = hcl2.loads(
"""
provider "aws" {}
"""
... | 30.626667 | 71 | 0.569003 | 229 | 2,297 | 5.423581 | 0.218341 | 0.144928 | 0.040258 | 0.056361 | 0.808374 | 0.802738 | 0.802738 | 0.778583 | 0.778583 | 0.778583 | 0 | 0.012234 | 0.323901 | 2,297 | 74 | 72 | 31.040541 | 0.787508 | 0 | 0 | 0.540541 | 0 | 0 | 0.039573 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 1 | 0.135135 | false | 0.054054 | 0.108108 | 0 | 0.27027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
e7fc9b20884411350ccdb2d7459239dd9946a222 | 2,282 | py | Python | tests/test_scoring.py | Menelau/pymfe | 4e43c9210a19e3123d9d24a22efa4e65099ed129 | [
"MIT"
] | 1 | 2021-11-26T08:17:00.000Z | 2021-11-26T08:17:00.000Z | tests/test_scoring.py | Menelau/pymfe | 4e43c9210a19e3123d9d24a22efa4e65099ed129 | [
"MIT"
] | null | null | null | tests/test_scoring.py | Menelau/pymfe | 4e43c9210a19e3123d9d24a22efa4e65099ed129 | [
"MIT"
] | null | null | null | """Test module for General class metafeatures."""
import pytest
import numpy as np
from pymfe.scoring import accuracy
from pymfe.scoring import balanced_accuracy
from pymfe.scoring import f1
def test_accuracy():
y_true = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0])
y_pred = np.array([1, 1, 1, 1, 1, 0, 0, 0, 0, 0... | 36.806452 | 68 | 0.528046 | 529 | 2,282 | 2.172023 | 0.056711 | 0.21584 | 0.255875 | 0.257615 | 0.887728 | 0.821584 | 0.818103 | 0.817232 | 0.817232 | 0.800696 | 0 | 0.181659 | 0.249781 | 2,282 | 61 | 69 | 37.409836 | 0.489486 | 0.018843 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.272727 | 1 | 0.068182 | false | 0 | 0.113636 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
f0182d93e564b82ed836b9ec1acb22b5c294c5f9 | 1,545 | py | Python | problem-008/main.py | stevancorre/project-euler | abf99969f0235e7740840bcbf4b23a3f8470fa2b | [
"MIT"
] | null | null | null | problem-008/main.py | stevancorre/project-euler | abf99969f0235e7740840bcbf4b23a3f8470fa2b | [
"MIT"
] | null | null | null | problem-008/main.py | stevancorre/project-euler | abf99969f0235e7740840bcbf4b23a3f8470fa2b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Stévan Corre <stevancorre@protonmail.com>
# Date: 04/12/2021
import math
def product_of(ns):
product = 1
for n in ns:
product *= n
return product
def solve():
result = 0
source = "73167176531330624919225119674426574742355349194... | 45.441176 | 1,015 | 0.846602 | 73 | 1,545 | 17.780822 | 0.643836 | 0.013867 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.734635 | 0.104854 | 1,545 | 33 | 1,016 | 46.818182 | 0.203905 | 0.071845 | 0 | 0 | 0 | 0 | 0.711888 | 0.699301 | 0 | 1 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0 | 0.294118 | 0.058824 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f06fb72a5a2252ee8edb3ffb1bde0cd70b8a2ba4 | 81,820 | py | Python | sdk/python/pulumi_newrelic/nrql_alert_condition.py | bob-bins/pulumi-newrelic | f8a121fb7d6e6ad979d3ccf72467b9e89769e305 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_newrelic/nrql_alert_condition.py | bob-bins/pulumi-newrelic | f8a121fb7d6e6ad979d3ccf72467b9e89769e305 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_newrelic/nrql_alert_condition.py | bob-bins/pulumi-newrelic | f8a121fb7d6e6ad979d3ccf72467b9e89769e305 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | 59.204052 | 526 | 0.686201 | 10,166 | 81,820 | 5.324415 | 0.037576 | 0.06686 | 0.073714 | 0.029264 | 0.962552 | 0.955919 | 0.948862 | 0.945795 | 0.943781 | 0.933436 | 0 | 0.004798 | 0.212906 | 81,820 | 1,381 | 527 | 59.246923 | 0.835699 | 0.434674 | 0 | 0.890306 | 1 | 0.007653 | 0.166116 | 0.072849 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16199 | false | 0.001276 | 0.008929 | 0 | 0.267857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
6501353b0ccda822b1119f34ca9acccdf3fc9f18 | 121 | py | Python | 04higher_order_functions_modules_std_lambdas_inheritance/my_module.py | DrSloth/first_steps_in_python | 36e56bfd4da89bc644d2adbc2ea5010a071f2c4c | [
"MIT"
] | 2 | 2022-02-18T09:03:07.000Z | 2022-02-18T09:03:16.000Z | 04higher_order_functions_modules_std_lambdas_inheritance/my_module.py | DrSloth/first_steps_in_python | 36e56bfd4da89bc644d2adbc2ea5010a071f2c4c | [
"MIT"
] | null | null | null | 04higher_order_functions_modules_std_lambdas_inheritance/my_module.py | DrSloth/first_steps_in_python | 36e56bfd4da89bc644d2adbc2ea5010a071f2c4c | [
"MIT"
] | null | null | null | # This module contains a function to print Hello, World!
# Prints Hello, World!
def hello():
print("Hello, World!")
| 20.166667 | 56 | 0.68595 | 17 | 121 | 4.882353 | 0.647059 | 0.361446 | 0.361446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190083 | 121 | 5 | 57 | 24.2 | 0.846939 | 0.619835 | 0 | 0 | 0 | 0 | 0.302326 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
3324581aa82e2b9e1bb643ed6389a5890676034b | 6,028 | py | Python | tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[de_DE-2011] 1.py | ghlecl/holidata | 1db24d4aecab7ec7a007720987d84ffb0988b6db | [
"MIT"
] | null | null | null | tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[de_DE-2011] 1.py | ghlecl/holidata | 1db24d4aecab7ec7a007720987d84ffb0988b6db | [
"MIT"
] | null | null | null | tests/snapshots/snap_test_holidata/test_holidata_produces_holidays_for_locale_and_year[de_DE-2011] 1.py | ghlecl/holidata | 1db24d4aecab7ec7a007720987d84ffb0988b6db | [
"MIT"
] | null | null | null | [
{
'date': '2011-01-01',
'description': 'Neujahr',
'locale': 'de-DE',
'notes': '',
'region': '',
'type': 'NF'
},
{
'date': '2011-01-06',
'description': 'Heilige drei Könige',
'locale': 'de-DE',
'notes': '',
'region': 'B... | 22 | 51 | 0.37077 | 479 | 6,028 | 4.665971 | 0.146138 | 0.1217 | 0.152125 | 0.228188 | 0.822819 | 0.821029 | 0.811186 | 0.778076 | 0.778076 | 0.724832 | 0 | 0.07491 | 0.397644 | 6,028 | 274 | 52 | 22 | 0.540622 | 0 | 0 | 0.620438 | 0 | 0 | 0.390446 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
6825b92437b2decac156c71d71cfbd6456858669 | 108 | py | Python | spec_version.py | antonvh/ev3dev-lang-python | 7dd6a657d998476c3258863998cae34ea161baa1 | [
"MIT"
] | 1 | 2020-12-01T23:23:33.000Z | 2020-12-01T23:23:33.000Z | spec_version.py | antonvh/ev3dev-lang-python | 7dd6a657d998476c3258863998cae34ea161baa1 | [
"MIT"
] | null | null | null | spec_version.py | antonvh/ev3dev-lang-python | 7dd6a657d998476c3258863998cae34ea161baa1 | [
"MIT"
] | 1 | 2020-12-01T23:23:34.000Z | 2020-12-01T23:23:34.000Z | # ~autogen spec_version
spec_version = "spec: 0.9.3-pre-r2, kernel: v3.16.7-ckt16-7-ev3dev-ev3"
# ~autogen
| 21.6 | 71 | 0.703704 | 20 | 108 | 3.7 | 0.75 | 0.297297 | 0.405405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135417 | 0.111111 | 108 | 4 | 72 | 27 | 0.635417 | 0.277778 | 0 | 0 | 1 | 1 | 0.72 | 0.346667 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d7a9feddc8c1b28c75d579ce48b9fe064b15ddec | 119 | py | Python | python_20740628/chapter_one/6.py | vimm0/python_exercise | 7773d95b4c25b82a9d014f7a814ac83df9ebac17 | [
"MIT"
] | null | null | null | python_20740628/chapter_one/6.py | vimm0/python_exercise | 7773d95b4c25b82a9d014f7a814ac83df9ebac17 | [
"MIT"
] | null | null | null | python_20740628/chapter_one/6.py | vimm0/python_exercise | 7773d95b4c25b82a9d014f7a814ac83df9ebac17 | [
"MIT"
] | 1 | 2018-01-04T16:27:31.000Z | 2018-01-04T16:27:31.000Z | def check_palindrome(str):
return str == str[::-1]
print(check_palindrome('palpa'))
print(check_palindrome('radar')) | 19.833333 | 32 | 0.731092 | 16 | 119 | 5.25 | 0.5625 | 0.535714 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009174 | 0.084034 | 119 | 6 | 33 | 19.833333 | 0.761468 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0.25 | 0.5 | 0.5 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 |
d7f9937de321ef353dde5adfe61aa9c9997e6117 | 3,190 | py | Python | build/lib/pypse/operators.py | HankelBao/PyPse | 0022226703592ef030f8d4cdb94cdb089d36edb5 | [
"MIT"
] | 9 | 2018-11-25T15:31:21.000Z | 2021-03-17T20:24:57.000Z | build/lib/pypse/operators.py | HankelBao/PyPse | 0022226703592ef030f8d4cdb94cdb089d36edb5 | [
"MIT"
] | null | null | null | build/lib/pypse/operators.py | HankelBao/PyPse | 0022226703592ef030f8d4cdb94cdb089d36edb5 | [
"MIT"
] | 2 | 2019-02-02T17:42:35.000Z | 2020-12-08T16:25:50.000Z | from lark import Tree
from .values import Value, ValueType
from .debug import DebugOutput
class Operator():
priority = 0
def operate(value1: Value, value2: Value) -> Value:
pass
def debug_output():
DebugOutput.output("anonymous operator")
class OperatorAdd(Operator):
priority = 2
... | 27.982456 | 85 | 0.663636 | 378 | 3,190 | 5.338624 | 0.116402 | 0.121407 | 0.225471 | 0.124876 | 0.827552 | 0.81219 | 0.81219 | 0.793855 | 0.793855 | 0.793855 | 0 | 0.020476 | 0.249843 | 3,190 | 113 | 86 | 28.230089 | 0.822817 | 0.015361 | 0 | 0.625 | 0 | 0 | 0.007964 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.0125 | 0.0375 | 0 | 0.575 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
cc1ac9d48b670d93f673abd781103ddf70895605 | 1,584 | py | Python | dash_fcast/distributions/utils.py | dsbowen/dash-fcast | b589dfa370e8170f76893ba2f484bf03eaca7522 | [
"MIT"
] | null | null | null | dash_fcast/distributions/utils.py | dsbowen/dash-fcast | b589dfa370e8170f76893ba2f484bf03eaca7522 | [
"MIT"
] | 1 | 2021-05-26T12:55:28.000Z | 2021-05-27T12:15:48.000Z | dash_fcast/distributions/utils.py | dsbowen/dash-fcast | b589dfa370e8170f76893ba2f484bf03eaca7522 | [
"MIT"
] | null | null | null | from scipy.stats._continuous_distns import expon_gen, gamma_gen
class reflect():
def pdf(self, x, *args, **kwargs):
return super().pdf(-x, *args, **kwargs)
def logpdf(self, x, *args, **kwargs):
return super().logpdf(-x, *args, **kwargs)
def cdf(self, x, *args, **kwargs):
return 1... | 25.967213 | 63 | 0.569444 | 210 | 1,584 | 4.161905 | 0.22381 | 0.297483 | 0.237986 | 0.264302 | 0.398169 | 0.306636 | 0.128146 | 0 | 0 | 0 | 0 | 0.007432 | 0.23548 | 1,584 | 61 | 64 | 25.967213 | 0.714286 | 0.147096 | 0 | 0 | 0 | 0 | 0.008969 | 0 | 0 | 0 | 0 | 0.016393 | 0 | 1 | 0.392857 | false | 0 | 0.035714 | 0.392857 | 0.928571 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
0be132164364ba05a50c33f7d7f0ce57460713e7 | 11,745 | py | Python | rlkit/demos/source/encoder_dict_to_mdp_path_loader.py | anair13/rlkit | 028885a6528b9d871d1946671f84ad93d90eded1 | [
"MIT"
] | 11 | 2020-01-24T17:16:42.000Z | 2022-01-30T23:07:06.000Z | rlkit/demos/source/encoder_dict_to_mdp_path_loader.py | anair13/rlkit | 028885a6528b9d871d1946671f84ad93d90eded1 | [
"MIT"
] | null | null | null | rlkit/demos/source/encoder_dict_to_mdp_path_loader.py | anair13/rlkit | 028885a6528b9d871d1946671f84ad93d90eded1 | [
"MIT"
] | 3 | 2020-04-13T09:17:25.000Z | 2021-10-16T08:03:10.000Z | from collections import OrderedDict
import pickle
import numpy as np
import torch
import torch.optim as optim
from torch import nn as nn
import torch.nn.functional as F
import copy
import rlkit.torch.pytorch_util as ptu
from rlkit.core.eval_util import create_stats_ordered_dict
from rlkit.torch.torch_rl_algorithm impor... | 35.376506 | 117 | 0.595317 | 1,354 | 11,745 | 4.878139 | 0.127031 | 0.027252 | 0.027252 | 0.013323 | 0.875852 | 0.872672 | 0.861771 | 0.861771 | 0.849659 | 0.836336 | 0 | 0.006324 | 0.313325 | 11,745 | 332 | 118 | 35.376506 | 0.812647 | 0.01192 | 0 | 0.863481 | 0 | 0 | 0.055191 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03413 | false | 0 | 0.064846 | 0 | 0.133106 | 0.027304 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f097efe23e1c24c07bb3add977603ab04023f660 | 5,522 | py | Python | printacc/accounts/models.py | rozumalex/printacc | 419f080ce91a737077c0b3d1e98f961fc41e2850 | [
"MIT"
] | null | null | null | printacc/accounts/models.py | rozumalex/printacc | 419f080ce91a737077c0b3d1e98f961fc41e2850 | [
"MIT"
] | null | null | null | printacc/accounts/models.py | rozumalex/printacc | 419f080ce91a737077c0b3d1e98f961fc41e2850 | [
"MIT"
] | 1 | 2021-04-08T04:31:19.000Z | 2021-04-08T04:31:19.000Z | from django.db import models
from django.utils import timezone
from django.contrib.auth.models import AbstractUser
from .managers import AccountManager
class Account(AbstractUser):
objects = AccountManager()
is_admin = models.BooleanField(default=False, verbose_name='Admin')
is_dealer = models.BooleanFi... | 31.375 | 78 | 0.646143 | 677 | 5,522 | 5.057607 | 0.138848 | 0.055491 | 0.079439 | 0.107477 | 0.804322 | 0.754381 | 0.702979 | 0.693341 | 0.62354 | 0.600175 | 0 | 0.004786 | 0.243209 | 5,522 | 175 | 79 | 31.554286 | 0.814549 | 0 | 0 | 0.626984 | 0 | 0 | 0.020283 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.031746 | 0.126984 | 0.730159 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
f099a93691f9c459d75553970d0bfda3051f9e34 | 10,915 | py | Python | tests/test_exclusions.py | zreichert/pytest_mark_checker | 990a579635b3ba394a9780f6ab934e4983b00ef1 | [
"Apache-2.0"
] | null | null | null | tests/test_exclusions.py | zreichert/pytest_mark_checker | 990a579635b3ba394a9780f6ab934e4983b00ef1 | [
"Apache-2.0"
] | 6 | 2018-04-24T14:00:08.000Z | 2018-09-14T15:06:13.000Z | tests/test_exclusions.py | zreichert/pytest_mark_checker | 990a579635b3ba394a9780f6ab934e4983b00ef1 | [
"Apache-2.0"
] | 1 | 2018-04-26T15:51:00.000Z | 2018-04-26T15:51:00.000Z | # -*- coding: utf-8 -*-
"""Tests for validating rules processing exclusions for test methods and functions. (Driven by the 'exclude_methods'
and 'exclude_functions' options.)
"""
# ======================================================================================================================
# Imports
# ======... | 32.777778 | 120 | 0.622721 | 1,215 | 10,915 | 5.401646 | 0.123457 | 0.051501 | 0.037635 | 0.045558 | 0.856163 | 0.838641 | 0.809995 | 0.802225 | 0.800549 | 0.761237 | 0 | 0.017957 | 0.229592 | 10,915 | 332 | 121 | 32.876506 | 0.762516 | 0.348694 | 0 | 0.77381 | 0 | 0 | 0.38248 | 0.116852 | 0 | 0 | 0 | 0 | 0.077381 | 1 | 0.077381 | false | 0.071429 | 0.005952 | 0 | 0.130952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
f0f21e632729a2193e3acef46ed979a5688547f9 | 8,326 | py | Python | hiddenfigures/tests/stats/dropshot_test.py | millcityrunner/carball | c94cb8caf2f00e616409d2c22b73475e6268fffa | [
"Apache-2.0"
] | null | null | null | hiddenfigures/tests/stats/dropshot_test.py | millcityrunner/carball | c94cb8caf2f00e616409d2c22b73475e6268fffa | [
"Apache-2.0"
] | null | null | null | hiddenfigures/tests/stats/dropshot_test.py | millcityrunner/carball | c94cb8caf2f00e616409d2c22b73475e6268fffa | [
"Apache-2.0"
] | null | null | null | import unittest
from hiddenfigures.analysis.analysis_manager import AnalysisManager
from hiddenfigures.tests.utils import run_analysis_test_on_replay, get_raw_replays
from hiddenfigures.generated.api.stats.dropshot_pb2 import DAMAGED, DESTROYED
class Test_Dropshot():
def test_single_damage(self, replay_cache):... | 55.139073 | 108 | 0.725198 | 1,078 | 8,326 | 5.219852 | 0.079777 | 0.110894 | 0.1571 | 0.213258 | 0.915052 | 0.909366 | 0.882886 | 0.869735 | 0.854629 | 0.814111 | 0 | 0.044487 | 0.187365 | 8,326 | 150 | 109 | 55.506667 | 0.787171 | 0 | 0 | 0.495327 | 1 | 0 | 0.015494 | 0.005285 | 0 | 0 | 0 | 0 | 0.691589 | 1 | 0.093458 | false | 0 | 0.037383 | 0 | 0.140187 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
50077d2b9c95c392a29e8c3a8da944c166fcc7ba | 3,574 | py | Python | users/forms.py | omzi/django-blog | 560799a5d5624ea4a50ed8b8cc60c8bcbc651ab7 | [
"MIT"
] | 1 | 2021-05-05T13:57:36.000Z | 2021-05-05T13:57:36.000Z | users/forms.py | omzi/django-blog | 560799a5d5624ea4a50ed8b8cc60c8bcbc651ab7 | [
"MIT"
] | null | null | null | users/forms.py | omzi/django-blog | 560799a5d5624ea4a50ed8b8cc60c8bcbc651ab7 | [
"MIT"
] | null | null | null | from django.contrib.auth.forms import UserCreationForm, UserChangeForm, PasswordChangeForm, PasswordResetForm
from django.contrib.auth.models import User
from django import forms
from django.core.exceptions import ValidationError
class RegistrationForm(UserCreationForm):
username = forms.CharField(label='Username... | 56.730159 | 186 | 0.72188 | 416 | 3,574 | 6.096154 | 0.161058 | 0.069401 | 0.097397 | 0.108438 | 0.766167 | 0.751577 | 0.72358 | 0.72358 | 0.72358 | 0.640773 | 0 | 0.010964 | 0.132345 | 3,574 | 63 | 187 | 56.730159 | 0.806837 | 0 | 0 | 0.478261 | 0 | 0 | 0.266573 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0.304348 | 0.086957 | 0 | 0.695652 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
502a9d053857ba0e436d96a3af14b408438af774 | 10,095 | py | Python | octopus/modules/es/tests/unit/test_sanitisation.py | richard-jones/magnificent-octopus | 4a65f5a3e919af61887302d2911849233347f18f | [
"Apache-2.0"
] | 2 | 2016-02-22T04:31:30.000Z | 2021-08-03T23:58:36.000Z | octopus/modules/es/tests/unit/test_sanitisation.py | richard-jones/magnificent-octopus | 4a65f5a3e919af61887302d2911849233347f18f | [
"Apache-2.0"
] | 9 | 2015-01-04T14:00:05.000Z | 2021-12-13T19:35:07.000Z | octopus/modules/es/tests/unit/test_sanitisation.py | richard-jones/magnificent-octopus | 4a65f5a3e919af61887302d2911849233347f18f | [
"Apache-2.0"
] | 3 | 2016-09-09T13:39:45.000Z | 2018-02-19T14:23:12.000Z | from unittest import TestCase
from octopus.modules.es import sanitise
class TestModels(TestCase):
def setUp(self):
super(TestModels, self).setUp()
def tearDown(self):
super(TestModels, self).tearDown()
def test_01_basic_success(self):
query = {
"query" : {"match_all" :... | 30.044643 | 118 | 0.346409 | 662 | 10,095 | 5.13142 | 0.155589 | 0.02355 | 0.044157 | 0.045334 | 0.855166 | 0.825729 | 0.801001 | 0.777451 | 0.745952 | 0.662644 | 0 | 0.013269 | 0.507281 | 10,095 | 336 | 119 | 30.044643 | 0.669682 | 0.010797 | 0 | 0.630508 | 0 | 0 | 0.165865 | 0 | 0 | 0 | 0 | 0 | 0.040678 | 1 | 0.040678 | false | 0 | 0.00678 | 0 | 0.050847 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
acc4d4274a16ea826c0dbe038c70d8dc38be764a | 350,426 | py | Python | lbpketappipig/Data_11_MagUp_lbpketappipig.py | Williams224/davinci-scripts | 730642d2ff13543eca4073a4ce0932631195de56 | [
"MIT"
] | null | null | null | lbpketappipig/Data_11_MagUp_lbpketappipig.py | Williams224/davinci-scripts | 730642d2ff13543eca4073a4ce0932631195de56 | [
"MIT"
] | null | null | null | lbpketappipig/Data_11_MagUp_lbpketappipig.py | Williams224/davinci-scripts | 730642d2ff13543eca4073a4ce0932631195de56 | [
"MIT"
] | null | null | null | #-- GAUDI jobOptions generated on Sun Feb 7 01:33:09 2016
#-- Contains event types :
#-- 90000000 - 3886 files - 297532269 events - 4488.35 GBytes
#-- Extra information about the data processing phases:
#-- Processing Pass Step-127013
#-- StepId : 127013
#-- StepName : Stripping21r1-Merging-DV-v36r1
#--... | 89.623018 | 118 | 0.833083 | 50,595 | 350,426 | 5.616405 | 0.078367 | 0.300857 | 0.150428 | 0.300857 | 0.888852 | 0.888852 | 0.888852 | 0.888852 | 0.888852 | 0.888666 | 0 | 0.347978 | 0.01142 | 350,426 | 3,909 | 119 | 89.645945 | 0.472294 | 0.001547 | 0 | 0 | 1 | 0.999229 | 0.955215 | 0.955203 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.000514 | 0 | 0.000514 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 15 |
acd79e3533bcc4a536c6c3b3257c1d3e5fb2c4e4 | 437 | py | Python | tests/test_context.py | ningyixue/AIPI530_Final_Project | b95353ffd003692a37a59042dfcd744a18b7e802 | [
"MIT"
] | 565 | 2020-08-01T02:44:28.000Z | 2022-03-30T15:00:54.000Z | tests/test_context.py | ningyixue/AIPI530_Final_Project | b95353ffd003692a37a59042dfcd744a18b7e802 | [
"MIT"
] | 144 | 2020-08-01T03:45:10.000Z | 2022-03-30T14:51:16.000Z | tests/test_context.py | ningyixue/AIPI530_Final_Project | b95353ffd003692a37a59042dfcd744a18b7e802 | [
"MIT"
] | 103 | 2020-08-26T13:27:34.000Z | 2022-03-31T12:24:27.000Z | from d3rlpy.context import disable_parallel, get_parallel_flag, parallel
def test_parallel():
assert not get_parallel_flag()
with parallel():
assert get_parallel_flag()
with disable_parallel():
assert not get_parallel_flag()
assert get_parallel_flag()
assert not get_par... | 27.3125 | 72 | 0.704805 | 54 | 437 | 5.333333 | 0.240741 | 0.305556 | 0.416667 | 0.347222 | 0.715278 | 0.715278 | 0.590278 | 0.590278 | 0.444444 | 0.444444 | 0 | 0.002967 | 0.228833 | 437 | 15 | 73 | 29.133333 | 0.851632 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.583333 | 1 | 0.083333 | true | 0 | 0.083333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4a17ae374709b77704deca0baa98401f9412a475 | 23,347 | py | Python | hdf5index.py | CodingNowNow/jiaoyi | 57513f8cf0d282fa70ac9e8e76ff785d7a2a019c | [
"MIT"
] | 1 | 2019-03-22T06:36:56.000Z | 2019-03-22T06:36:56.000Z | hdf5index.py | nvsnvyu/hikyuu | 57513f8cf0d282fa70ac9e8e76ff785d7a2a019c | [
"MIT"
] | null | null | null | hdf5index.py | nvsnvyu/hikyuu | 57513f8cf0d282fa70ac9e8e76ff785d7a2a019c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf8 -*-
# cp936
"""
建立HDF5索引
"""
import datetime
import tables
class IndexRecord(tables.IsDescription):
datetime = tables.UInt64Col() #IGNORE:E1101
start = tables.UInt64Col() #IGNORE:E1101
def UpdateWeekIndex(h5file):
try:
group = h5file.getNode("/... | 32.381415 | 103 | 0.544524 | 2,488 | 23,347 | 4.937299 | 0.062701 | 0.065939 | 0.048844 | 0.034191 | 0.854038 | 0.826522 | 0.822208 | 0.819766 | 0.811381 | 0.802752 | 0 | 0.070457 | 0.345269 | 23,347 | 720 | 104 | 32.426389 | 0.733155 | 0.031096 | 0 | 0.795222 | 0 | 0 | 0.056319 | 0.007001 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.001706 | 0.005119 | null | null | 0.011945 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
c5abdcdf0011c5eff02c7431597d1902c2e051a9 | 31,060 | py | Python | Codigo/Method.py | NicholasAlmeidaPinto/SimuladoresPythonIC | f0e1b072823b89095d8d75b78e6cb09414fc5d76 | [
"MIT"
] | null | null | null | Codigo/Method.py | NicholasAlmeidaPinto/SimuladoresPythonIC | f0e1b072823b89095d8d75b78e6cb09414fc5d76 | [
"MIT"
] | null | null | null | Codigo/Method.py | NicholasAlmeidaPinto/SimuladoresPythonIC | f0e1b072823b89095d8d75b78e6cb09414fc5d76 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 9 09:03:01 2017
@author: Nicholas de Almeida Pinto
"""
#import numpy as np
#Function that defines and calculates the TVD's method
def First_TVD(Sw,N, mio, miw, j, porosity, deltt, deltx, delty):
for i in range(N):
for k in range(N):
... | 60.428016 | 215 | 0.398551 | 7,460 | 31,060 | 1.658177 | 0.020509 | 0.274535 | 0.244462 | 0.205335 | 0.928052 | 0.923363 | 0.921665 | 0.921342 | 0.920534 | 0.915198 | 0 | 0.058976 | 0.266838 | 31,060 | 513 | 216 | 60.545809 | 0.484235 | 0.201062 | 0 | 0.880637 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023873 | false | 0 | 0.007958 | 0.002653 | 0.058355 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
c5e115af3c072382a00c110d88f4fb99ea9de793 | 146 | py | Python | pystellibs/future/__init__.py | lcjohnso/pystellibs | 3df5d029df61e5488c5dae3422ec8b616298e85f | [
"MIT"
] | 5 | 2016-10-25T13:37:55.000Z | 2020-11-03T09:46:17.000Z | pystellibs/future/__init__.py | lcjohnso/pystellibs | 3df5d029df61e5488c5dae3422ec8b616298e85f | [
"MIT"
] | 2 | 2018-06-01T21:50:29.000Z | 2019-01-05T21:12:14.000Z | pystellibs/future/__init__.py | lcjohnso/pystellibs | 3df5d029df61e5488c5dae3422ec8b616298e85f | [
"MIT"
] | 3 | 2016-10-18T16:52:39.000Z | 2019-11-13T20:09:56.000Z | import matplotlib.path
if hasattr(matplotlib.path.Path, 'contains_points'):
from matplotlib.path import Path
else:
from .path import Path
| 24.333333 | 52 | 0.767123 | 20 | 146 | 5.55 | 0.45 | 0.378378 | 0.252252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.150685 | 146 | 5 | 53 | 29.2 | 0.895161 | 0 | 0 | 0 | 0 | 0 | 0.10274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
c5ef9b34d2c806413107877160ef807fd5daeb11 | 5,967 | py | Python | construct/lib/binary.py | tmr232/construct | 208df16e51f8fc35f5c924a5cabc623eb425bc4e | [
"MIT"
] | 2 | 2016-06-04T16:49:11.000Z | 2017-07-21T10:21:12.000Z | construct/lib/binary.py | tmr232/construct | 208df16e51f8fc35f5c924a5cabc623eb425bc4e | [
"MIT"
] | 1 | 2019-10-28T16:26:19.000Z | 2019-10-28T21:38:18.000Z | construct/lib/binary.py | tmr232/construct | 208df16e51f8fc35f5c924a5cabc623eb425bc4e | [
"MIT"
] | 2 | 2016-03-18T04:30:35.000Z | 2018-03-28T16:57:43.000Z | import six
from construct.lib.py3compat import int2byte
if six.PY3:
def int_to_bin(number, width = 32):
r"""
Convert an integer into its binary representation in a bytes object.
Width is the amount of bits to generate. If width is larger than the actual
amount of bits required to r... | 31.739362 | 83 | 0.516005 | 837 | 5,967 | 3.594982 | 0.157706 | 0.035892 | 0.026587 | 0.023928 | 0.92456 | 0.92456 | 0.92456 | 0.909937 | 0.876703 | 0.876703 | 0 | 0.074143 | 0.369365 | 5,967 | 187 | 84 | 31.909091 | 0.725485 | 0.368359 | 0 | 0.706422 | 0 | 0 | 0.027682 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091743 | false | 0 | 0.018349 | 0 | 0.201835 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
681a6a8f948814dc0845d6f964af7ca6a09490d3 | 160 | py | Python | domain/services/connect.py | Srinjay-hack/Buddy | 155b9ba58a20bf043493213dd8349f61012fc480 | [
"Apache-2.0"
] | null | null | null | domain/services/connect.py | Srinjay-hack/Buddy | 155b9ba58a20bf043493213dd8349f61012fc480 | [
"Apache-2.0"
] | null | null | null | domain/services/connect.py | Srinjay-hack/Buddy | 155b9ba58a20bf043493213dd8349f61012fc480 | [
"Apache-2.0"
] | null | null | null | from domain.models import Caller,Assistant
from accounts.models import Caller as ConnectCaller
from accounts.models import Assistant as ConnectAssistant
| 14.545455 | 57 | 0.83125 | 20 | 160 | 6.65 | 0.5 | 0.270677 | 0.270677 | 0.360902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.14375 | 160 | 10 | 58 | 16 | 0.970803 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a88124bdd0a8d6d705d0b3e8ff19123ccf577665 | 550 | py | Python | eval_covid19china_timm-regnetx_002_MedianBlur.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | eval_covid19china_timm-regnetx_002_MedianBlur.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | eval_covid19china_timm-regnetx_002_MedianBlur.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | import os
ls=["python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_0_MedianBlur.yml",
"python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_1_MedianBlur.yml",
"python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_2_MedianBlur.yml",
"p... | 50 | 104 | 0.849091 | 80 | 550 | 5.4625 | 0.3 | 0.114416 | 0.1373 | 0.217391 | 0.897025 | 0.897025 | 0.897025 | 0.897025 | 0.897025 | 0.897025 | 0 | 0.057803 | 0.056364 | 550 | 11 | 105 | 50 | 0.7842 | 0 | 0 | 0 | 0 | 0 | 0.880218 | 0.653358 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
a8b3ea68d6b426525fb29ef103c406483a9e5e90 | 18,847 | py | Python | tests/test_json.py | atilaneves/reggae-python | 6d98e487733dfb2f870296e96ccd12b7f7a4d09a | [
"BSD-3-Clause"
] | null | null | null | tests/test_json.py | atilaneves/reggae-python | 6d98e487733dfb2f870296e96ccd12b7f7a4d09a | [
"BSD-3-Clause"
] | null | null | null | tests/test_json.py | atilaneves/reggae-python | 6d98e487733dfb2f870296e96ccd12b7f7a4d09a | [
"BSD-3-Clause"
] | null | null | null | from reggae.build import Target, Build, optional
from reggae.rules import * # noqa
from json import dumps, loads
import pytest
def test_target():
tgt = Target("foo.d")
assert tgt.jsonify() == {"type": "fixed",
"command": {},
"outputs": ["foo.d"],
... | 35.695076 | 79 | 0.356555 | 1,342 | 18,847 | 4.914307 | 0.07228 | 0.10235 | 0.114026 | 0.106141 | 0.856255 | 0.851099 | 0.851099 | 0.828355 | 0.814253 | 0.790751 | 0 | 0.00119 | 0.464955 | 18,847 | 527 | 80 | 35.762808 | 0.652816 | 0.000212 | 0 | 0.802548 | 0 | 0 | 0.234754 | 0 | 0 | 0 | 0 | 0 | 0.061571 | 1 | 0.03397 | false | 0 | 0.029724 | 0 | 0.063694 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a8b5519df60f2ca13484dd498dc214ede3da8cfb | 997 | py | Python | run-framework-scidb.py | danutrusu/framework_thesis | be2d6f2484a66d83994baded369bc832b9583563 | [
"MIT"
] | null | null | null | run-framework-scidb.py | danutrusu/framework_thesis | be2d6f2484a66d83994baded369bc832b9583563 | [
"MIT"
] | null | null | null | run-framework-scidb.py | danutrusu/framework_thesis | be2d6f2484a66d83994baded369bc832b9583563 | [
"MIT"
] | null | null | null | import os
#os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 100MB -d 1,2,3,4,5 --datatype char")
#os.system("./run.sh operations -s scidb --system-configs conf/scidb.properties --datadir $(pwd)/data --load --generate --sizes 100MB -d 1,2,3,4,... | 124.625 | 166 | 0.7001 | 164 | 997 | 4.256098 | 0.176829 | 0.068768 | 0.094556 | 0.111748 | 0.988539 | 0.988539 | 0.988539 | 0.988539 | 0.974212 | 0.974212 | 0 | 0.051168 | 0.098295 | 997 | 7 | 167 | 142.428571 | 0.72525 | 0.49348 | 0 | 0 | 1 | 0.75 | 0.890438 | 0.125498 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
a8bf1424fc402737312ac37ee2bc23dcc09c6adb | 92 | py | Python | base.py | augustinharter/sba | 43c08c02fe98a007b9f9dcad53db0c0410bc4f0f | [
"MIT"
] | null | null | null | base.py | augustinharter/sba | 43c08c02fe98a007b9f9dcad53db0c0410bc4f0f | [
"MIT"
] | null | null | null | base.py | augustinharter/sba | 43c08c02fe98a007b9f9dcad53db0c0410bc4f0f | [
"MIT"
] | null | null | null | import numpy as np
import torch as T
import torch.nn as nn
import torch.nn.functional as F
| 15.333333 | 31 | 0.782609 | 19 | 92 | 3.789474 | 0.473684 | 0.458333 | 0.361111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.184783 | 92 | 5 | 32 | 18.4 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
7660919a6a38ad95b8f534eabc8831a9915b5aef | 17,575 | py | Python | tensorpack/models/l1_norm.py | ToWeRT1An/tensorpack | f343e65b3c92fdf92cda7a90e8d7fd9df622b1b1 | [
"Apache-2.0"
] | 1 | 2019-08-26T08:55:43.000Z | 2019-08-26T08:55:43.000Z | tensorpack/models/l1_norm.py | ToWeRT1An/tensorpack | f343e65b3c92fdf92cda7a90e8d7fd9df622b1b1 | [
"Apache-2.0"
] | 7 | 2019-12-16T21:58:30.000Z | 2022-02-10T00:17:01.000Z | tensorpack/models/l1_norm.py | T1anZhenYu/tensorpack | f343e65b3c92fdf92cda7a90e8d7fd9df622b1b1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# File: batch_norm.py
import re
import six
import os
from ..compat import tfv1 as tf # this should be avoided first in model code
from tensorflow.python.training import moving_averages
from tensorpack.tfutils.summary import add_moving_summary, add_param_summary,add_tensor_summary
from ..tfuti... | 43.610422 | 101 | 0.585092 | 2,213 | 17,575 | 4.416629 | 0.097153 | 0.050645 | 0.033251 | 0.061387 | 0.806834 | 0.796808 | 0.786577 | 0.76949 | 0.754758 | 0.744117 | 0 | 0.01853 | 0.29377 | 17,575 | 403 | 102 | 43.610422 | 0.768933 | 0.065661 | 0 | 0.740525 | 0 | 0 | 0.061669 | 0 | 0 | 0 | 0 | 0 | 0.005831 | 1 | 0.058309 | false | 0 | 0.046647 | 0.008746 | 0.166181 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
76711aa5d70435c0a6f5c16daa696c4962327352 | 552 | py | Python | tests/mangle.py | ZYAZP/python2 | 7dc3b62eff51e1decb4a408122e77630fdc1687d | [
"MIT"
] | 1,062 | 2015-11-18T01:04:33.000Z | 2022-03-29T07:13:30.000Z | tests/mangle.py | ArrowSides/onelinerizer | 7dc3b62eff51e1decb4a408122e77630fdc1687d | [
"MIT"
] | 26 | 2015-11-17T06:58:07.000Z | 2022-01-15T18:11:16.000Z | tests/mangle.py | ArrowSides/onelinerizer | 7dc3b62eff51e1decb4a408122e77630fdc1687d | [
"MIT"
] | 100 | 2015-11-17T09:01:22.000Z | 2021-09-12T13:58:28.000Z | __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c = 0, 1, 2, 3, 4, 5, 6, 7, 8
print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c
class A(object):
__a = 9
print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c, _B__c
def f(self):
print __a, _A__a, _B__a, __b, _A__b, _B__b, __c, _A__c... | 34.5 | 83 | 0.583333 | 125 | 552 | 1.392 | 0.16 | 0.218391 | 0.206897 | 0.275862 | 0.810345 | 0.810345 | 0.810345 | 0.810345 | 0.810345 | 0.810345 | 0 | 0.029557 | 0.264493 | 552 | 15 | 84 | 36.8 | 0.399015 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.357143 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 |
76901622cb873db301e08d962facfe2ed9177ee7 | 36,382 | py | Python | tool/SoDark.py | MrWhiteSoul/WannaTool | 78df7eee605367d04e3e77bfa5865afda680eb4f | [
"MIT"
] | 70 | 2020-04-10T09:50:57.000Z | 2022-03-31T23:26:46.000Z | tool/SoDark.py | Acc3ssGr4nt3d/WannaTool | 5aba765597f35e221e619c231890fb3af9fc156e | [
"MIT"
] | 1 | 2021-12-12T12:20:17.000Z | 2021-12-12T12:22:31.000Z | tool/SoDark.py | Acc3ssGr4nt3d/WannaTool | 5aba765597f35e221e619c231890fb3af9fc156e | [
"MIT"
] | 19 | 2020-04-10T06:26:56.000Z | 2022-03-20T03:08:54.000Z | import marshal,zlib,base64
exec(marshal.loads(zlib.decompress(base64.b16decode("789CEDBD09741C497618185985AB0AF70DF04CA249102089FB6613CD068F2639CD6B0AEC069B1C363A51990012A80B955924D0035A96DBB646B22C6BA5952FDDA3DD91666C4BD6D81E49F6589675F8D23596656B77EDF7B49E1DAF65EBD9FB56AB95BDE395E57F446466556501209BAD1E8D1B644566C69D... | 12,127.333333 | 36,354 | 0.999505 | 12 | 36,382 | 3,030.333333 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.635944 | 0.000082 | 36,382 | 2 | 36,355 | 18,191 | 0.363644 | 0 | 0 | 0 | 0 | 0 | 0.997636 | 0.997636 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 12 |
76cf14cb16153e9545d11e8565f9c2fb268aeaa9 | 74,534 | py | Python | sdk/python/pulumi_alicloud/slb/rule.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 42 | 2019-03-18T06:34:37.000Z | 2022-03-24T07:08:57.000Z | sdk/python/pulumi_alicloud/slb/rule.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 152 | 2019-04-15T21:03:44.000Z | 2022-03-29T18:00:57.000Z | sdk/python/pulumi_alicloud/slb/rule.py | pulumi/pulumi-alicloud | 9c34d84b4588a7c885c6bec1f03b5016e5a41683 | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2020-08-26T17:30:07.000Z | 2021-07-05T01:37:45.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 61.905316 | 409 | 0.681139 | 9,924 | 74,534 | 4.937727 | 0.034563 | 0.08014 | 0.073283 | 0.053875 | 0.968838 | 0.961981 | 0.956145 | 0.9519 | 0.949022 | 0.939451 | 0 | 0.007572 | 0.220356 | 74,534 | 1,203 | 410 | 61.956775 | 0.835691 | 0.480667 | 0 | 0.876791 | 1 | 0 | 0.114891 | 0.028695 | 0 | 0 | 0 | 0 | 0 | 1 | 0.167622 | false | 0.001433 | 0.007163 | 0 | 0.275072 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
4f497964a17ba87394cba31ac5cd687e45701a08 | 301 | py | Python | python/list_to_string.py | codevscolor/codevscolor | 35ef9042bdc86f45ef87795c35963b75fb64d5d7 | [
"Apache-2.0"
] | 6 | 2019-04-26T03:11:54.000Z | 2021-05-07T21:48:29.000Z | python/list_to_string.py | akojif/codevscolor | 56db3dffeac8f8d76ff8fcf5656770f33765941f | [
"Apache-2.0"
] | null | null | null | python/list_to_string.py | akojif/codevscolor | 56db3dffeac8f8d76ff8fcf5656770f33765941f | [
"Apache-2.0"
] | 26 | 2019-02-23T14:50:46.000Z | 2022-02-04T23:44:24.000Z | #example 1
dummy_list = ["one","two","three","four","five","six"]
separator = ' '
result_string = separator.join(dummy_list)
print(result_string)
#example 2
dummy_list = ["one","two","three","four","five","six"]
separator = ','
result_string = separator.join(dummy_list)
print(result_string)
| 15.05 | 54 | 0.684385 | 40 | 301 | 4.95 | 0.4 | 0.181818 | 0.121212 | 0.151515 | 0.919192 | 0.919192 | 0.919192 | 0.919192 | 0.919192 | 0.919192 | 0 | 0.007491 | 0.112957 | 301 | 19 | 55 | 15.842105 | 0.734082 | 0.059801 | 0 | 0.75 | 0 | 0 | 0.163701 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4f84d9cf7a96955190402529480de26edd297756 | 630 | py | Python | evaluate.py | zlxy9892/chatbot-retrieval-based-smn | 65ae5391f0a01b84f998cbbec1e04eda30ddd569 | [
"Apache-2.0"
] | 5 | 2018-09-05T02:52:17.000Z | 2021-04-29T01:12:27.000Z | evaluate.py | zlxy9892/chatbot-retrieval-based-smn | 65ae5391f0a01b84f998cbbec1e04eda30ddd569 | [
"Apache-2.0"
] | 1 | 2020-05-30T13:19:46.000Z | 2020-05-30T13:19:46.000Z | evaluate.py | zlxy9892/chatbot-retrieval-based-smn | 65ae5391f0a01b84f998cbbec1e04eda30ddd569 | [
"Apache-2.0"
] | null | null | null | def ComputeR10_1(scores,labels,count = 10):
total = 0
correct = 0
for i in range(len(labels)):
if labels[i] == 1:
total = total+1
sublist = scores[i:i+count]
if max(sublist) == scores[i]:
correct = correct + 1
print(float(correct)/ total )
def... | 30 | 43 | 0.520635 | 82 | 630 | 3.97561 | 0.268293 | 0.159509 | 0.171779 | 0.110429 | 0.803681 | 0.803681 | 0.803681 | 0.803681 | 0.803681 | 0.803681 | 0 | 0.044335 | 0.355556 | 630 | 21 | 44 | 30 | 0.758621 | 0 | 0 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.1 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4f8ecb5d638d88e72dab5dee3cbc82eb0b76e10e | 4,875 | py | Python | backend/api/schedule/tests/test_schedule_invitation.py | patrick91/pycon | 9d7e15f540adcf0eaceb61fdbf67206d6aef73ec | [
"MIT"
] | 2 | 2017-07-18T21:51:25.000Z | 2017-12-23T11:08:39.000Z | backend/api/schedule/tests/test_schedule_invitation.py | patrick91/pycon | 9d7e15f540adcf0eaceb61fdbf67206d6aef73ec | [
"MIT"
] | 23 | 2017-07-18T20:22:38.000Z | 2018-01-05T05:45:15.000Z | backend/api/schedule/tests/test_schedule_invitation.py | patrick91/pycon | 9d7e15f540adcf0eaceb61fdbf67206d6aef73ec | [
"MIT"
] | 2 | 2017-07-18T21:27:33.000Z | 2017-07-18T22:07:03.000Z | import datetime
from pytest import mark
from schedule.models import ScheduleItem
pytestmark = mark.django_db
def test_fetch_an_invitation(
submission_factory,
graphql_client,
user,
schedule_item_factory,
slot_factory,
day_factory,
):
graphql_client.force_login(user)
submission = sub... | 25.259067 | 82 | 0.590154 | 438 | 4,875 | 6.374429 | 0.173516 | 0.04298 | 0.054441 | 0.04298 | 0.889327 | 0.889327 | 0.872135 | 0.837034 | 0.837034 | 0.837034 | 0 | 0.030778 | 0.306872 | 4,875 | 192 | 83 | 25.390625 | 0.795502 | 0 | 0 | 0.773723 | 0 | 0 | 0.074183 | 0 | 0 | 0 | 0 | 0 | 0.058394 | 1 | 0.029197 | false | 0 | 0.021898 | 0 | 0.051095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4ffb0183f1a4d73a0046957acf4f4563eecd144c | 21,935 | py | Python | SCN.py | Tnorm/SCN | a89b829f86c16fc9359330427bdb71bd8b16349e | [
"MIT"
] | null | null | null | SCN.py | Tnorm/SCN | a89b829f86c16fc9359330427bdb71bd8b16349e | [
"MIT"
] | null | null | null | SCN.py | Tnorm/SCN | a89b829f86c16fc9359330427bdb71bd8b16349e | [
"MIT"
] | 1 | 2019-06-24T07:04:00.000Z | 2019-06-24T07:04:00.000Z | #### SIMPLICIAL COMPLEX NEURAL NETWORK LEARN FUNCTIONS!
import torch
from torch.autograd import Variable
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm
class SCN(torch.nn.Module):
def __init__(self, visible_num, input_dim, visible_units, depth, model=1):
super(SCN, self).... | 45.985325 | 111 | 0.587782 | 3,152 | 21,935 | 3.914657 | 0.053617 | 0.027555 | 0.020423 | 0.019856 | 0.971067 | 0.965313 | 0.958587 | 0.95105 | 0.947808 | 0.92933 | 0 | 0.023194 | 0.257032 | 21,935 | 476 | 112 | 46.081933 | 0.733939 | 0.494051 | 0 | 0.723958 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.026042 | 0.026042 | 0.276042 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8b4762a27a32d1804b51e8cc84e795ae6aad3ae3 | 44,226 | py | Python | mapel/voting/metrics/lp.py | szufix/mapel | 9eaacf7963021ea3eab701a14efd82cf1bfc5c5b | [
"MIT"
] | 3 | 2020-02-15T11:37:30.000Z | 2021-02-21T11:46:10.000Z | mapel/voting/metrics/lp.py | szufix/mapel | 9eaacf7963021ea3eab701a14efd82cf1bfc5c5b | [
"MIT"
] | 9 | 2020-03-24T11:08:57.000Z | 2020-03-24T11:48:04.000Z | mapel/voting/metrics/lp.py | szufix/mapel | 9eaacf7963021ea3eab701a14efd82cf1bfc5c5b | [
"MIT"
] | 4 | 2020-04-21T17:47:50.000Z | 2022-03-25T16:41:04.000Z | #!/usr/bin/env python
import os
try:
import cplex
except ImportError:
cplex = None
import numpy as np
from mapel.voting.metrics.inner_distances import hamming
# FOR SUBELECTIONS
def solve_lp_voter_subelection(election_1, election_2, metric_name='0'):
""" LP solver for voter subelection problem """
... | 34.632733 | 134 | 0.467666 | 5,592 | 44,226 | 3.526645 | 0.041488 | 0.084478 | 0.105421 | 0.036256 | 0.877643 | 0.863749 | 0.821865 | 0.796511 | 0.752599 | 0.710258 | 0 | 0.023567 | 0.386922 | 44,226 | 1,276 | 135 | 34.659875 | 0.703769 | 0.043006 | 0 | 0.7979 | 0 | 0 | 0.056566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020997 | false | 0.001312 | 0.006562 | 0 | 0.048556 | 0.010499 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
8c670bd80a26f44623ab287ff7aadedb2184afce | 14,028 | py | Python | finley/test/python/run_trilinosComplexSolversOnFinley.py | markendr/esys-escript.github.io | 0023eab09cd71f830ab098cb3a468e6139191e8d | [
"Apache-2.0"
] | null | null | null | finley/test/python/run_trilinosComplexSolversOnFinley.py | markendr/esys-escript.github.io | 0023eab09cd71f830ab098cb3a468e6139191e8d | [
"Apache-2.0"
] | null | null | null | finley/test/python/run_trilinosComplexSolversOnFinley.py | markendr/esys-escript.github.io | 0023eab09cd71f830ab098cb3a468e6139191e8d | [
"Apache-2.0"
] | null | null | null |
##############################################################################
#
# Copyright (c) 2003-2018 by The University of Queensland
# http://www.uq.edu.au
#
# Primary Business: Queensland, Australia
# Licensed under the Apache License, version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
#
# Development unt... | 34.895522 | 102 | 0.721699 | 1,499 | 14,028 | 6.615077 | 0.104069 | 0.064542 | 0.038725 | 0.051634 | 0.897338 | 0.889976 | 0.873538 | 0.871117 | 0.871117 | 0.857604 | 0 | 0.018777 | 0.187553 | 14,028 | 401 | 103 | 34.982544 | 0.851277 | 0.0427 | 0 | 0.809689 | 0 | 0 | 0.044527 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.221453 | false | 0.00692 | 0.024221 | 0 | 0.363322 | 0.00346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
8c792c195a520a7c0db7d35e44bfe815ead9cb45 | 1,067 | py | Python | data-engineering/labs-concurrent-distributed-programming/config.py | xR86/ml-stuff | 2a1b79408897171b78032ff2531ab6f8b18be6c4 | [
"MIT"
] | 3 | 2018-12-11T03:03:15.000Z | 2020-02-11T19:38:07.000Z | data-engineering/labs-concurrent-distributed-programming/config.py | xR86/ml-stuff | 2a1b79408897171b78032ff2531ab6f8b18be6c4 | [
"MIT"
] | 6 | 2017-05-31T20:58:32.000Z | 2021-02-16T23:13:15.000Z | data-engineering/labs-concurrent-distributed-programming/config.py | xR86/ml-stuff | 2a1b79408897171b78032ff2531ab6f8b18be6c4 | [
"MIT"
] | null | null | null | CONFIG = dict({
'demo_battery': [
{
'protocol': 'UDP',
'setup': 'single',
'mode': 'simple',
'size': '1MB',
'test_count': 1
}
],
'full_battery': [
{
'protocol': 'UDP',
'setup': 'single',
'mode': 'simple',
'size': '1MB',
'test_count': 3
},
{
'protocol': 'UDP',
'setup': 'si... | 14.226667 | 21 | 0.453608 | 105 | 1,067 | 4.504762 | 0.190476 | 0.190275 | 0.266385 | 0.266385 | 0.959831 | 0.959831 | 0.959831 | 0.959831 | 0.959831 | 0.930233 | 0 | 0.028609 | 0.279288 | 1,067 | 74 | 22 | 14.418919 | 0.586476 | 0 | 0 | 0.637681 | 0 | 0 | 0.435801 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
8c7dbf9e8e3f22fa948818b20f9b851b189bc115 | 80 | py | Python | src/hello/helloWorld.py | codeWriter9/python-starter | 1786406cffad3253bbeb3362c800d296641f953b | [
"MIT"
] | null | null | null | src/hello/helloWorld.py | codeWriter9/python-starter | 1786406cffad3253bbeb3362c800d296641f953b | [
"MIT"
] | null | null | null | src/hello/helloWorld.py | codeWriter9/python-starter | 1786406cffad3253bbeb3362c800d296641f953b | [
"MIT"
] | null | null | null | from hello import helloWorldUtil
def hello_world():
return "Hello World!!"
| 16 | 32 | 0.7375 | 10 | 80 | 5.8 | 0.7 | 0.344828 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175 | 80 | 4 | 33 | 20 | 0.878788 | 0 | 0 | 0 | 0 | 0 | 0.1625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 8 |
5069cddc609260e3cfc5a9be138b957bc7229fcd | 5,693 | py | Python | imcsdk/mometa/aaa/AaaUserPasswordExpiration.py | vadimkuznetsov/imcsdk | ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8 | [
"Apache-2.0"
] | null | null | null | imcsdk/mometa/aaa/AaaUserPasswordExpiration.py | vadimkuznetsov/imcsdk | ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8 | [
"Apache-2.0"
] | null | null | null | imcsdk/mometa/aaa/AaaUserPasswordExpiration.py | vadimkuznetsov/imcsdk | ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8 | [
"Apache-2.0"
] | 1 | 2019-11-10T18:42:04.000Z | 2019-11-10T18:42:04.000Z | """This module contains the general information for AaaUserPasswordExpiration ManagedObject."""
from ...imcmo import ManagedObject
from ...imccoremeta import MoPropertyMeta, MoMeta
from ...imcmeta import VersionMeta
class AaaUserPasswordExpirationConsts:
ADMIN_ACTION_RESTORE_DEFAULT = "restore-default"
class A... | 61.880435 | 220 | 0.659758 | 503 | 5,693 | 7.264414 | 0.180915 | 0.056924 | 0.17734 | 0.175151 | 0.813355 | 0.803503 | 0.803503 | 0.803503 | 0.803503 | 0.803503 | 0 | 0.033931 | 0.187248 | 5,693 | 91 | 221 | 62.56044 | 0.755781 | 0.022835 | 0 | 0.571429 | 0 | 0 | 0.305531 | 0.136012 | 0 | 0 | 0.01261 | 0 | 0 | 1 | 0.014286 | false | 0.371429 | 0.042857 | 0 | 0.171429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
5085ede90f07436e9c56aac40f444c1ff54931e8 | 221 | py | Python | tests/micropython/viper_const.py | sebi5361/micropython | 6c054cd124bc6229bee127128264dc0829dea53c | [
"MIT"
] | 198 | 2017-03-24T23:23:54.000Z | 2022-01-07T07:14:00.000Z | tests/micropython/viper_const.py | sebi5361/micropython | 6c054cd124bc6229bee127128264dc0829dea53c | [
"MIT"
] | 509 | 2017-03-28T19:37:18.000Z | 2022-03-31T20:31:43.000Z | tests/micropython/viper_const.py | sebi5361/micropython | 6c054cd124bc6229bee127128264dc0829dea53c | [
"MIT"
] | 187 | 2017-03-24T23:23:58.000Z | 2022-02-25T01:48:45.000Z | # test loading constants in viper functions
@micropython.viper
def f():
return b'bytes'
print(f())
@micropython.viper
def f():
@micropython.viper
def g() -> int:
return 123
return g
print(f()())
| 14.733333 | 43 | 0.628959 | 30 | 221 | 4.633333 | 0.533333 | 0.345324 | 0.410072 | 0.28777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017751 | 0.235294 | 221 | 14 | 44 | 15.785714 | 0.804734 | 0.18552 | 0 | 0.454545 | 0 | 0 | 0.02809 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.272727 | true | 0 | 0 | 0.181818 | 0.545455 | 0.181818 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
508ad3506135a4f73824667aeafcdbeaf42b8c78 | 1,499 | py | Python | tests/test_common.py | pythonerheaven/helloworld | b00746d5f0eff7aa65719b0d22525c387860e991 | [
"Apache-2.0"
] | 2 | 2018-02-02T04:42:12.000Z | 2021-01-21T07:03:36.000Z | tests/test_common.py | htq310542/helloworld | 90605529ef67c0c3397bbd8f00336962e80aa863 | [
"Apache-2.0"
] | null | null | null | tests/test_common.py | htq310542/helloworld | 90605529ef67c0c3397bbd8f00336962e80aa863 | [
"Apache-2.0"
] | 1 | 2018-02-02T04:42:13.000Z | 2018-02-02T04:42:13.000Z |
hk_trading = 1
is_hk_trade = 1
us_trading = 1
trading = hk_trading if is_hk_trade else us_trading
print(trading)
print(hk_trading)
hk_trading = 1
is_hk_trade = 1
us_trading = 0
trading = hk_trading if is_hk_trade else us_trading
print(trading)
print(hk_trading)
hk_trading = 1
is_hk_trade = 0
us_trading = 0
tradin... | 16.11828 | 67 | 0.721147 | 269 | 1,499 | 3.743494 | 0.167286 | 0.214499 | 0.142999 | 0.142999 | 0.762661 | 0.762661 | 0.762661 | 0.762661 | 0.762661 | 0.752731 | 0 | 0.028381 | 0.200801 | 1,499 | 93 | 68 | 16.11828 | 0.812187 | 0.052035 | 0 | 0.793651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.31746 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
50981f545f36d31d30d83fafc02796279a8dfaf9 | 4,327 | py | Python | test/pyaz/keyvault/storage/sas_definition/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | null | null | null | test/pyaz/keyvault/storage/sas_definition/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | 9 | 2021-09-24T16:37:24.000Z | 2021-12-24T00:39:19.000Z | test/pyaz/keyvault/storage/sas_definition/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | null | null | null | import json, subprocess
from .... pyaz_utils import get_cli_name, get_params
def create(disabled=None, vault_name, account_name, name, template_uri, sas_type, validity_period, __SAS_DEFINITION_ATTRIBUTES=None, tags=None):
params = get_params(locals())
command = "az keyvault storage sas-definition create " ... | 37.301724 | 183 | 0.676681 | 536 | 4,327 | 5.380597 | 0.102612 | 0.07767 | 0.055479 | 0.058252 | 0.926838 | 0.913662 | 0.913662 | 0.913662 | 0.913662 | 0.913662 | 0 | 0.004676 | 0.209152 | 4,327 | 115 | 184 | 37.626087 | 0.838106 | 0 | 0 | 0.830189 | 0 | 0 | 0.09822 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.018868 | null | null | 0.226415 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
50a5c4f656459f8146fc8237fc681a772ae68c63 | 26,628 | py | Python | influxdb_client/service/invocable_scripts_service.py | wasted925/influxdb-client-python | afee531fd1dc244b3d9d270e262b0a1865a7c89d | [
"MIT"
] | 380 | 2019-09-19T20:20:10.000Z | 2022-03-31T12:59:33.000Z | influxdb_client/service/invocable_scripts_service.py | wasted925/influxdb-client-python | afee531fd1dc244b3d9d270e262b0a1865a7c89d | [
"MIT"
] | 362 | 2019-09-16T11:53:29.000Z | 2022-03-29T03:11:59.000Z | influxdb_client/service/invocable_scripts_service.py | wasted925/influxdb-client-python | afee531fd1dc244b3d9d270e262b0a1865a7c89d | [
"MIT"
] | 130 | 2019-09-20T08:02:35.000Z | 2022-03-30T16:44:45.000Z | # coding: utf-8
"""
Influx OSS API Service.
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
OpenAPI spec version: 2.0.0
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import re # noqa: F401
# python... | 39.981982 | 132 | 0.62438 | 3,173 | 26,628 | 4.935708 | 0.05925 | 0.045974 | 0.069727 | 0.027584 | 0.944256 | 0.938446 | 0.926569 | 0.918077 | 0.911053 | 0.906839 | 0 | 0.018528 | 0.288568 | 26,628 | 665 | 133 | 40.042105 | 0.808171 | 0.313204 | 0 | 0.787293 | 1 | 0 | 0.179481 | 0.051827 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035912 | false | 0 | 0.008287 | 0 | 0.096685 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
50e05bdf7e63b090fd2258b624bea8c108fd4a66 | 123,504 | py | Python | embyapi/api/library_service_api.py | stanionascu/python-embyapi | a3f7aa49aea4052277cc43605c0d89bc6ff21913 | [
"BSD-3-Clause"
] | null | null | null | embyapi/api/library_service_api.py | stanionascu/python-embyapi | a3f7aa49aea4052277cc43605c0d89bc6ff21913 | [
"BSD-3-Clause"
] | null | null | null | embyapi/api/library_service_api.py | stanionascu/python-embyapi | a3f7aa49aea4052277cc43605c0d89bc6ff21913 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
"""
Emby Server API
Explore the Emby Server API # noqa: E501
OpenAPI spec version: 4.1.1.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import ... | 43.334737 | 352 | 0.625202 | 14,545 | 123,504 | 5.064627 | 0.020832 | 0.046915 | 0.021286 | 0.027367 | 0.983086 | 0.976746 | 0.973909 | 0.972307 | 0.966497 | 0.965547 | 0 | 0.01483 | 0.286946 | 123,504 | 2,849 | 353 | 43.349947 | 0.821654 | 0.380886 | 0 | 0.836269 | 1 | 0 | 0.197884 | 0.050244 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037182 | false | 0 | 0.002609 | 0 | 0.095238 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
50f1a935fc342c6cc7f4dadc08f4fbeaca65dfe0 | 98 | py | Python | geometric_vector_perceptron/__init__.py | AspirinCode/geometric-vector-perceptron | 0bb57b6f4bf181c00b3855b81bff8cdd0fdd901d | [
"MIT"
] | null | null | null | geometric_vector_perceptron/__init__.py | AspirinCode/geometric-vector-perceptron | 0bb57b6f4bf181c00b3855b81bff8cdd0fdd901d | [
"MIT"
] | null | null | null | geometric_vector_perceptron/__init__.py | AspirinCode/geometric-vector-perceptron | 0bb57b6f4bf181c00b3855b81bff8cdd0fdd901d | [
"MIT"
] | 1 | 2021-11-28T17:35:44.000Z | 2021-11-28T17:35:44.000Z | from geometric_vector_perceptron.geometric_vector_perceptron import GVP, GVPDropout, GVPLayerNorm
| 49 | 97 | 0.908163 | 11 | 98 | 7.727273 | 0.727273 | 0.352941 | 0.588235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061224 | 98 | 1 | 98 | 98 | 0.923913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
e8440169ab6b1304cb155867cb0c8952ae9a4c3f | 160 | py | Python | ai_awesome/model.py | wiktorlazarski/ai-awesome-project-template | f4c93306e6ca7dc7f4fb1638e160eaa879a542b5 | [
"Apache-2.0"
] | 15 | 2022-01-22T13:58:10.000Z | 2022-03-29T18:57:18.000Z | ai_awesome/model.py | wiktorlazarski/ai-awesome-project-template | f4c93306e6ca7dc7f4fb1638e160eaa879a542b5 | [
"Apache-2.0"
] | null | null | null | ai_awesome/model.py | wiktorlazarski/ai-awesome-project-template | f4c93306e6ca7dc7f4fb1638e160eaa879a542b5 | [
"Apache-2.0"
] | null | null | null | import torch
class NeuralNet(torch.nn.Module):
def __init__(self):
pass
def forward(self, X: torch.Tensor) -> torch.Tensor:
return X
| 16 | 55 | 0.63125 | 21 | 160 | 4.619048 | 0.666667 | 0.226804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2625 | 160 | 9 | 56 | 17.777778 | 0.822034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.166667 | 0.166667 | 0.166667 | 0.833333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 7 |
2cf3d14001280f6546128060e4f38c1ea967b05e | 1,449 | py | Python | library/test/test_measures.py | pupuis/drep | f5f8d8029321a2f2160f443dbfe1387edb651568 | [
"MIT"
] | null | null | null | library/test/test_measures.py | pupuis/drep | f5f8d8029321a2f2160f443dbfe1387edb651568 | [
"MIT"
] | null | null | null | library/test/test_measures.py | pupuis/drep | f5f8d8029321a2f2160f443dbfe1387edb651568 | [
"MIT"
] | null | null | null | import unittest
import library.measures as measures
import numpy as np
class DummyEstimator:
def __init__(self, y):
self.y = y
def predict(self, x, collapse = False):
return self.y
class MeasuresTest(unittest.TestCase):
def test_diversity_on_completely_agreeing_estimators(self):
... | 34.5 | 78 | 0.709455 | 164 | 1,449 | 6.060976 | 0.237805 | 0.144869 | 0.181087 | 0.190141 | 0.808853 | 0.760563 | 0.746479 | 0.746479 | 0.746479 | 0.746479 | 0 | 0.011824 | 0.182885 | 1,449 | 41 | 79 | 35.341463 | 0.827703 | 0 | 0 | 0.37931 | 0 | 0 | 0.041408 | 0 | 0 | 0 | 0 | 0 | 0.172414 | 1 | 0.241379 | false | 0 | 0.103448 | 0.034483 | 0.448276 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
2cfd67e6830225786889170f21bc719c86e4b8fd | 130 | py | Python | app/main/__init__.py | 8by8-org/usvotes | e2af8b2d8b986bf36804bae1c784bc78b54dc412 | [
"MIT"
] | null | null | null | app/main/__init__.py | 8by8-org/usvotes | e2af8b2d8b986bf36804bae1c784bc78b54dc412 | [
"MIT"
] | null | null | null | app/main/__init__.py | 8by8-org/usvotes | e2af8b2d8b986bf36804bae1c784bc78b54dc412 | [
"MIT"
] | 1 | 2021-12-18T21:57:40.000Z | 2021-12-18T21:57:40.000Z | from flask import Blueprint
main = Blueprint('main', __name__)
from app.main import starter_views
from app.main import error_pages | 32.5 | 34 | 0.823077 | 20 | 130 | 5.05 | 0.55 | 0.257426 | 0.217822 | 0.336634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 130 | 4 | 35 | 32.5 | 0.878261 | 0 | 0 | 0 | 0 | 0 | 0.030534 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.75 | 0 | 0.75 | 0.5 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
fa32e749dd81bc046ff3f6ec56f42d7afed2980b | 258 | py | Python | pynumdiff/augmented_data/__init__.py | fossabot/PyNumDiff | dccad2ad7a875f2ecccb0db2bb6e2afa392916d1 | [
"MIT"
] | null | null | null | pynumdiff/augmented_data/__init__.py | fossabot/PyNumDiff | dccad2ad7a875f2ecccb0db2bb6e2afa392916d1 | [
"MIT"
] | null | null | null | pynumdiff/augmented_data/__init__.py | fossabot/PyNumDiff | dccad2ad7a875f2ecccb0db2bb6e2afa392916d1 | [
"MIT"
] | null | null | null | from pynumdiff.augmented_data.__augmented_data__ import linearmodel as linearmodel
from pynumdiff.augmented_data.__augmented_data__ import nonlinearmodel as nonlinearmodel
from pynumdiff.augmented_data.__augmented_data__ import __integrate__ as __integrate__ | 86 | 88 | 0.910853 | 30 | 258 | 6.966667 | 0.3 | 0.373206 | 0.315789 | 0.373206 | 0.645933 | 0.645933 | 0.645933 | 0 | 0 | 0 | 0 | 0 | 0.065891 | 258 | 3 | 89 | 86 | 0.86722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
fa4154e77a344515245e030a0334d98d42085174 | 15,536 | py | Python | controlimcap/decoders/memory.py | SikandarBakht/asg2cap | d8a6360eaccdb8c3add5f9c4f6fd72764e47e762 | [
"MIT"
] | 169 | 2020-03-15T08:41:39.000Z | 2022-03-30T09:36:17.000Z | controlimcap/decoders/memory.py | wtr850/asg2cap | 97a1d866d4a2b86c1f474bb168518f97eb2f8b96 | [
"MIT"
] | 25 | 2020-05-23T15:14:00.000Z | 2022-03-10T06:20:31.000Z | controlimcap/decoders/memory.py | wtr850/asg2cap | 97a1d866d4a2b86c1f474bb168518f97eb2f8b96 | [
"MIT"
] | 25 | 2020-04-02T10:08:01.000Z | 2021-12-09T12:10:10.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
import caption.decoders.attention
from framework.modules.embeddings import Embedding
from framework.modules.global_attention import GlobalAttention
from controlimcap.decoders.cfattention import ContentFlowAttentionDecoder
class MemoryDecoder(caption... | 41.989189 | 110 | 0.706488 | 2,247 | 15,536 | 4.52826 | 0.076992 | 0.062801 | 0.01769 | 0.022408 | 0.927666 | 0.9143 | 0.902703 | 0.89199 | 0.880786 | 0.87715 | 0 | 0.012582 | 0.18145 | 15,536 | 369 | 111 | 42.102981 | 0.787529 | 0.091594 | 0 | 0.884921 | 0 | 0 | 0.014167 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039683 | false | 0 | 0.027778 | 0 | 0.115079 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
d7286ce807fa966a7dd7ef3ae79c567719b439d5 | 108 | py | Python | models/storage/__init__.py | smbdsbrain/sick_bastard | e99b7a5eca1d8e5f52676aabbabefd9aca5cd446 | [
"WTFPL"
] | null | null | null | models/storage/__init__.py | smbdsbrain/sick_bastard | e99b7a5eca1d8e5f52676aabbabefd9aca5cd446 | [
"WTFPL"
] | null | null | null | models/storage/__init__.py | smbdsbrain/sick_bastard | e99b7a5eca1d8e5f52676aabbabefd9aca5cd446 | [
"WTFPL"
] | null | null | null | from models.storage.mongo import MongoStorage # noqa
from models.storage.mongo import MongoStorage # noqa
| 36 | 53 | 0.814815 | 14 | 108 | 6.285714 | 0.5 | 0.227273 | 0.386364 | 0.5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0.12963 | 108 | 2 | 54 | 54 | 0.93617 | 0.083333 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 12 |
ad38508dfcafee00022ef62d4fc31b2630397290 | 356 | py | Python | mod1-previous-concepts/logs.py | uoc-santiloopz/graphs-complexity | 2bd75155a10a4d6caa09db4cdc3ac37fb18e850a | [
"Apache-2.0"
] | null | null | null | mod1-previous-concepts/logs.py | uoc-santiloopz/graphs-complexity | 2bd75155a10a4d6caa09db4cdc3ac37fb18e850a | [
"Apache-2.0"
] | null | null | null | mod1-previous-concepts/logs.py | uoc-santiloopz/graphs-complexity | 2bd75155a10a4d6caa09db4cdc3ac37fb18e850a | [
"Apache-2.0"
] | null | null | null | def letUsCalculate():
print("Where n is the number of ELEMENTS in the SET, and R is the samples taken in the function\n")
print("///////////////////////////////\n")
print("///////////////////////////////\n")
print("///////////////////////////////\n")
print("///////////////////////////////\n")
pr... | 50.857143 | 103 | 0.390449 | 37 | 356 | 3.756757 | 0.567568 | 0.215827 | 0.201439 | 0.345324 | 0.215827 | 0.215827 | 0.215827 | 0.215827 | 0 | 0 | 0 | 0 | 0.146067 | 356 | 7 | 104 | 50.857143 | 0.457237 | 0 | 0 | 0.571429 | 0 | 0.142857 | 0.703081 | 0.369748 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | true | 0 | 0 | 0 | 0.142857 | 0.857143 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 |
ad4e9582098f8dbd96fd4f1e4574056d47540639 | 44,585 | py | Python | venv/Lib/site-packages/pyo/lib/randoms.py | mintzer/pupillometry-rf-back | cfa86fa984a49dce0123798f8de5b838c02e10d5 | [
"CC-BY-4.0"
] | null | null | null | venv/Lib/site-packages/pyo/lib/randoms.py | mintzer/pupillometry-rf-back | cfa86fa984a49dce0123798f8de5b838c02e10d5 | [
"CC-BY-4.0"
] | null | null | null | venv/Lib/site-packages/pyo/lib/randoms.py | mintzer/pupillometry-rf-back | cfa86fa984a49dce0123798f8de5b838c02e10d5 | [
"CC-BY-4.0"
] | null | null | null | """
Set of objects that implement different kinds of random noise generators.
"""
from __future__ import absolute_import
"""
Copyright 2009-2015 Olivier Belanger
This file is part of pyo, a python module to help digital signal
processing script creation.
pyo is free software: you can redistribute it and/or modify
i... | 29.274458 | 119 | 0.537064 | 5,689 | 44,585 | 4.136579 | 0.081561 | 0.021417 | 0.048953 | 0.012238 | 0.815068 | 0.794034 | 0.775507 | 0.761186 | 0.745931 | 0.731823 | 0 | 0.034167 | 0.339599 | 44,585 | 1,522 | 120 | 29.293693 | 0.765079 | 0.434137 | 0 | 0.788091 | 0 | 0 | 0.013618 | 0 | 0 | 0 | 0 | 0 | 0.06655 | 1 | 0.197898 | false | 0 | 0.005254 | 0.003503 | 0.276708 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a8dc309af88502161d08131386290afd3f714a3d | 34,449 | py | Python | sdk/python/pulumi_gcp/compute/managed_ssl_certificate.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 121 | 2018-06-18T19:16:42.000Z | 2022-03-31T06:06:48.000Z | sdk/python/pulumi_gcp/compute/managed_ssl_certificate.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 492 | 2018-06-22T19:41:03.000Z | 2022-03-31T15:33:53.000Z | sdk/python/pulumi_gcp/compute/managed_ssl_certificate.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 43 | 2018-06-19T01:43:13.000Z | 2022-03-23T22:43:37.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 45.268068 | 163 | 0.647305 | 3,895 | 34,449 | 5.570732 | 0.087291 | 0.056779 | 0.050327 | 0.048668 | 0.894737 | 0.870311 | 0.851184 | 0.840538 | 0.834132 | 0.813163 | 0 | 0.004372 | 0.263056 | 34,449 | 760 | 164 | 45.327632 | 0.850317 | 0.49386 | 0 | 0.716172 | 1 | 0 | 0.111149 | 0.047921 | 0 | 0 | 0 | 0 | 0 | 1 | 0.161716 | false | 0.0033 | 0.023102 | 0 | 0.283828 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
a8e26eb6189ec035dc6752547efc06b547b37256 | 10,749 | py | Python | bayesian_quadrature/tests/test_gauss_c.py | jhamrick/bayesian-quadrature | b7245cb6ccb96606da7caf1c516631c410f5dc1b | [
"MIT"
] | 13 | 2015-02-04T15:21:32.000Z | 2020-11-20T23:12:12.000Z | bayesian_quadrature/tests/test_gauss_c.py | jhamrick/bayesian-quadrature | b7245cb6ccb96606da7caf1c516631c410f5dc1b | [
"MIT"
] | 1 | 2018-07-20T20:02:55.000Z | 2018-07-20T20:02:55.000Z | bayesian_quadrature/tests/test_gauss_c.py | jhamrick/bayesian-quadrature | b7245cb6ccb96606da7caf1c516631c410f5dc1b | [
"MIT"
] | 3 | 2017-04-24T06:48:36.000Z | 2021-12-12T19:05:10.000Z | import numpy as np
import scipy.stats
import pytest
from .. import gauss_c
from .. import linalg_c as la
from . import util
import logging
logger = logging.getLogger("bayesian_quadrature")
logger.setLevel("DEBUG")
DTYPE = util.DTYPE
options = util.options
def test_mvn_logpdf():
util.npseed()
x_mean = opti... | 27.491049 | 82 | 0.581077 | 1,977 | 10,749 | 2.924633 | 0.049064 | 0.056728 | 0.044967 | 0.079903 | 0.901245 | 0.876167 | 0.872708 | 0.8523 | 0.831546 | 0.815981 | 0 | 0.023893 | 0.229045 | 10,749 | 390 | 83 | 27.561538 | 0.673826 | 0 | 0 | 0.700704 | 0 | 0 | 0.02577 | 0 | 0 | 0 | 0 | 0 | 0.073944 | 1 | 0.066901 | false | 0 | 0.024648 | 0 | 0.09507 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0f2d17d68964a29ad200326d5b751864001a4e22 | 10,944 | py | Python | test/test_attestation.py | verifiably/checker | 7fafed98b61c99196a21924082c6f47f530186db | [
"Apache-2.0"
] | null | null | null | test/test_attestation.py | verifiably/checker | 7fafed98b61c99196a21924082c6f47f530186db | [
"Apache-2.0"
] | null | null | null | test/test_attestation.py | verifiably/checker | 7fafed98b61c99196a21924082c6f47f530186db | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
import base64
import cbor2
import json
from OpenSSL import crypto
import pytest
from verifiably_checker import attestation
EXAMPLE_ATT_DOC = "hEShATgioFkQ36lpbW9kdWxlX2lkeCdpLTBkZGIwM2Y2ZjFmMTVjOGFmLWVuYzAxN2ZiOGIyOTc0MDc2ZTlmZGlnZXN0ZlNIQTM4NGl0aW1lc3RhbXAbAAABf7izKm5kc... | 100.40367 | 5,924 | 0.92288 | 396 | 10,944 | 25.292929 | 0.335859 | 0.011382 | 0.007788 | 0.014477 | 0.113818 | 0.103834 | 0.099441 | 0.099441 | 0.094748 | 0.094748 | 0 | 0.260799 | 0.04386 | 10,944 | 108 | 5,925 | 101.333333 | 0.696388 | 0.005026 | 0 | 0.447761 | 0 | 0.014925 | 0.78578 | 0.777512 | 0 | 1 | 0 | 0 | 0.089552 | 1 | 0.104478 | false | 0 | 0.119403 | 0 | 0.223881 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0f6d45df57dca5b17eed065e874e0d6a7e4c827c | 127 | py | Python | CA117/Lab_8/swapletters_51.py | PRITI1999/OneLineWonders | 91a7368e0796e5a3b5839c9165f9fbe5460879f5 | [
"MIT"
] | 6 | 2016-02-04T00:15:20.000Z | 2019-10-13T13:53:16.000Z | CA117/Lab_8/swapletters_51.py | PRITI1999/OneLineWonders | 91a7368e0796e5a3b5839c9165f9fbe5460879f5 | [
"MIT"
] | 2 | 2016-03-14T04:01:36.000Z | 2019-10-16T12:45:34.000Z | CA117/Lab_8/swapletters_51.py | PRITI1999/OneLineWonders | 91a7368e0796e5a3b5839c9165f9fbe5460879f5 | [
"MIT"
] | 10 | 2016-02-09T14:38:32.000Z | 2021-05-25T08:16:26.000Z | (lambda l:print(''.join([l[i+1]+l[i]for i in range(0,len(l)-1,2)])+(l[-1]if len(l)%2else'')))(list(__import__("sys").argv[1]))
| 63.5 | 126 | 0.582677 | 29 | 127 | 2.413793 | 0.62069 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057851 | 0.047244 | 127 | 1 | 127 | 127 | 0.520661 | 0 | 0 | 0 | 0 | 0 | 0.023622 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 7 |
7e859b407f053ddd022ae4460df909ffd88041ed | 59,341 | py | Python | luma/oled/const.py | morpheus200/luma.oled | 74492ef4ea3374c02d139731855fff7a43c79f7a | [
"MIT"
] | 582 | 2017-01-17T00:01:33.000Z | 2022-03-30T17:46:42.000Z | luma/oled/const.py | morpheus200/luma.oled | 74492ef4ea3374c02d139731855fff7a43c79f7a | [
"MIT"
] | 182 | 2017-01-12T15:01:19.000Z | 2022-03-24T21:06:10.000Z | luma/oled/const.py | morpheus200/luma.oled | 74492ef4ea3374c02d139731855fff7a43c79f7a | [
"MIT"
] | 112 | 2017-01-15T02:29:26.000Z | 2022-03-30T17:36:56.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2014-18 Richard Hull and contributors
# See LICENSE.rst for details.
from luma.core.const import common
class ssd1306(common):
CHARGEPUMP = 0x8D
COLUMNADDR = 0x21
COMSCANDEC = 0xC8
COMSCANINC = 0xC0
EXTERNALVCC = 0x1
MEMORYMODE = 0x20
PAGEADDR = 0x... | 99.565436 | 7,053 | 0.624829 | 10,320 | 59,341 | 3.603973 | 0.141279 | 0.619794 | 0.895572 | 1.158928 | 0.635523 | 0.589385 | 0.568171 | 0.480252 | 0.448256 | 0.440863 | 0 | 0.314314 | 0.220286 | 59,341 | 595 | 7,054 | 99.732773 | 0.485898 | 0.224432 | 0 | 0.156309 | 0 | 0.030132 | 0.385371 | 0.370038 | 0 | 1 | 0.092652 | 0.001681 | 0 | 1 | 0 | false | 0 | 0.001883 | 0 | 0.084746 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0e52800152dc4132c09824b1c29076f289c161e3 | 6,796 | py | Python | Server-Test-PDP-Exd/2.Ballot/run.py | Parwatsingh/OptSmart | 0564abdd04e7bc37a3586982a1d7ca5a97be88d5 | [
"Apache-2.0"
] | 1 | 2021-03-13T08:55:13.000Z | 2021-03-13T08:55:13.000Z | Server-Test-PDP-Exd/2.Ballot/run.py | Parwatsingh/OptSmart | 0564abdd04e7bc37a3586982a1d7ca5a97be88d5 | [
"Apache-2.0"
] | null | null | null | Server-Test-PDP-Exd/2.Ballot/run.py | Parwatsingh/OptSmart | 0564abdd04e7bc37a3586982a1d7ca5a97be88d5 | [
"Apache-2.0"
] | null | null | null | import subprocess
#subprocess.call("make")
GenAUs = ["g++", "-std=c++17", "GenAUs.cpp", "-o", "genAUs", "-O3", "-g"]
subprocess.call(GenAUs)
print("\n\n\n---------------- Workload 1 ----------------\n")
cmd = ["./genAUs", "100", "900", "50", "1000", "0"]
subprocess.call(cmd)
subprocess.call(["python", "run.py"], cwd="... | 40.452381 | 73 | 0.534579 | 856 | 6,796 | 4.244159 | 0.064252 | 0.377649 | 0.440407 | 0.506468 | 0.959262 | 0.950454 | 0.9455 | 0.9455 | 0.9455 | 0.9455 | 0 | 0.034548 | 0.067245 | 6,796 | 167 | 74 | 40.694611 | 0.538571 | 0.132872 | 0 | 0.813559 | 0 | 0 | 0.433799 | 0.155548 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.008475 | 0 | 0.008475 | 0.161017 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
0e53eefb00a151b2108cafb122e3c212edc3e7f0 | 4,257 | py | Python | code/sentiment.py | JonaBenja/lad-assignment1 | d4eeafda1032dd8dbe2b049b3008f3b4ad8c6c74 | [
"Apache-2.0"
] | null | null | null | code/sentiment.py | JonaBenja/lad-assignment1 | d4eeafda1032dd8dbe2b049b3008f3b4ad8c6c74 | [
"Apache-2.0"
] | null | null | null | code/sentiment.py | JonaBenja/lad-assignment1 | d4eeafda1032dd8dbe2b049b3008f3b4ad8c6c74 | [
"Apache-2.0"
] | null | null | null | from polyglot.text import Text
from statistics import mean
import pandas as pd
from collections import defaultdict, Counter
import matplotlib.pyplot as plt
import numpy as np
"""
DUTCH
"""
# Prepare dictionaries
sents_sentiment = defaultdict(list)
# Read in data
tsv_file = "../data/nl/decoded_nl_greta_overview.tsv"
... | 32.746154 | 94 | 0.698379 | 598 | 4,257 | 4.842809 | 0.247492 | 0.058011 | 0.047652 | 0.026243 | 0.861188 | 0.861188 | 0.861188 | 0.861188 | 0.861188 | 0.861188 | 0 | 0.015367 | 0.174536 | 4,257 | 130 | 95 | 32.746154 | 0.808765 | 0.12544 | 0 | 0.813953 | 0 | 0 | 0.110624 | 0.041621 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.069767 | 0 | 0.093023 | 0.023256 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0e7a792774694d631aa13835df29f4d31c3043a8 | 72 | py | Python | Python 3/juego_aun_sin_nombre/nombredejuego.py | DarkShadow4/python | 4cd94e0cf53ee06c9c31e9272572ca9656697c30 | [
"MIT"
] | null | null | null | Python 3/juego_aun_sin_nombre/nombredejuego.py | DarkShadow4/python | 4cd94e0cf53ee06c9c31e9272572ca9656697c30 | [
"MIT"
] | null | null | null | Python 3/juego_aun_sin_nombre/nombredejuego.py | DarkShadow4/python | 4cd94e0cf53ee06c9c31e9272572ca9656697c30 | [
"MIT"
] | 1 | 2020-08-19T17:25:22.000Z | 2020-08-19T17:25:22.000Z | import sys, pygame
# Main Game
def GetMovement():
""" """
pass
| 10.285714 | 18 | 0.569444 | 8 | 72 | 5.125 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.277778 | 72 | 6 | 19 | 12 | 0.788462 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
0e899df236b62cac8c3e686ca972c178ab27afa8 | 198 | py | Python | temboo/core/Library/Stripe/Account/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/Stripe/Account/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/Stripe/Account/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | from temboo.Library.Stripe.Account.RetrieveAccountDetails import RetrieveAccountDetails, RetrieveAccountDetailsInputSet, RetrieveAccountDetailsResultSet, RetrieveAccountDetailsChoreographyExecution
| 99 | 197 | 0.929293 | 11 | 198 | 16.727273 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035354 | 198 | 1 | 198 | 198 | 0.963351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
7ebdaee9ca66e441cbb82f950e139148327a97d8 | 14,766 | py | Python | test/python/pulse/test_utils.py | Sahar2/qiskit-terra | 19fbaeb68f2b279c9748384e919e1d1b006860f2 | [
"Apache-2.0"
] | null | null | null | test/python/pulse/test_utils.py | Sahar2/qiskit-terra | 19fbaeb68f2b279c9748384e919e1d1b006860f2 | [
"Apache-2.0"
] | null | null | null | test/python/pulse/test_utils.py | Sahar2/qiskit-terra | 19fbaeb68f2b279c9748384e919e1d1b006860f2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2019.
#
# 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 modif... | 49.885135 | 97 | 0.652851 | 1,869 | 14,766 | 5.05511 | 0.107544 | 0.061389 | 0.047417 | 0.034293 | 0.900614 | 0.900614 | 0.900614 | 0.893099 | 0.872248 | 0.863146 | 0 | 0.025451 | 0.233645 | 14,766 | 295 | 98 | 50.054237 | 0.809473 | 0.144995 | 0 | 0.850679 | 0 | 0 | 0.018074 | 0 | 0 | 0 | 0 | 0.00678 | 0.099548 | 1 | 0.090498 | false | 0 | 0.040724 | 0 | 0.149321 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
7ec2ef9277ea8e85846f07500d7f39944caaee4b | 462 | py | Python | src/cronos/constants.py | fentas/staketaxcsv | ad37a32d8864111dbf88e926b80eb4ccacb921c6 | [
"MIT"
] | null | null | null | src/cronos/constants.py | fentas/staketaxcsv | ad37a32d8864111dbf88e926b80eb4ccacb921c6 | [
"MIT"
] | null | null | null | src/cronos/constants.py | fentas/staketaxcsv | ad37a32d8864111dbf88e926b80eb4ccacb921c6 | [
"MIT"
] | null | null | null | # todo: make this configurable
EXCHANGE_CRONOS_BLOCKCHAIN = "Cronos"
CUR_CRONOS = "CRO"
MILLION = 100000000.0
CURRENCIES = {
"ibc/14F9BC3E44B8A9C1BE1FB08980FAB87034C9905EF17CF2F5008FC085218811CC": "OSMO",
"ibc/EB2CED20AB0466F18BE49285E56B31306D4C60438A022EA995BA65D5E3CF7E09": "SCRT",
"ibc/FA0006F056DB6719B8... | 46.2 | 83 | 0.822511 | 27 | 462 | 13.962963 | 0.814815 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.410926 | 0.088745 | 462 | 10 | 84 | 46.2 | 0.484561 | 0.060606 | 0 | 0 | 0 | 0 | 0.685912 | 0.628176 | 0 | 1 | 0 | 0.1 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
7ed92b31c5181b2aa0b59a07c0666dce2d82d744 | 94,655 | py | Python | figureFunctions.py | conbraun/hodgkinHuxleyModel_Research | 336ca3276b681ee685fac70bd087f90a8c687b23 | [
"MIT"
] | null | null | null | figureFunctions.py | conbraun/hodgkinHuxleyModel_Research | 336ca3276b681ee685fac70bd087f90a8c687b23 | [
"MIT"
] | null | null | null | figureFunctions.py | conbraun/hodgkinHuxleyModel_Research | 336ca3276b681ee685fac70bd087f90a8c687b23 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import math
def recallQuestion1Data():
data_1 = np.array([-124.07267743966287, -96.50906793839974, -83.69271938498048, -75.25080640630922, -68.94545843715301, -63.910735318666404, -59.719435437194456... | 334.469965 | 2,036 | 0.795996 | 10,127 | 94,655 | 7.400711 | 0.116323 | 0.003522 | 0.007112 | 0.001868 | 0.934701 | 0.930844 | 0.925974 | 0.925334 | 0.923466 | 0.921505 | 0 | 0.767703 | 0.066494 | 94,655 | 283 | 2,037 | 334.469965 | 0.080488 | 0.007195 | 0 | 0.259414 | 0 | 0 | 0.008227 | 0.002884 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037657 | false | 0 | 0.020921 | 0 | 0.062762 | 0.008368 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
7ef64e3728f5f0c8aca85346e0af93007c894ac3 | 240 | py | Python | Testes Basicos/format.py | gustavoLuuD/estudos_python | c8d3e97913d8fc2d046c7a1942b24800779438f5 | [
"MIT"
] | null | null | null | Testes Basicos/format.py | gustavoLuuD/estudos_python | c8d3e97913d8fc2d046c7a1942b24800779438f5 | [
"MIT"
] | null | null | null | Testes Basicos/format.py | gustavoLuuD/estudos_python | c8d3e97913d8fc2d046c7a1942b24800779438f5 | [
"MIT"
] | null | null | null | print("{:f}".format(123.5)) # 123.500000
print("{:.2f}".format(123.5)) # 123.50
print("{:7.2f}".format(123.5)) # 123.50
print("{:07.2f}".format(123.5)) # 0123.50
print("{:d}".format(123)) # 0123
print(f"Eu sei contar até {1234}") | 40 | 44 | 0.575 | 42 | 240 | 3.285714 | 0.404762 | 0.326087 | 0.289855 | 0.282609 | 0.318841 | 0.318841 | 0.318841 | 0 | 0 | 0 | 0 | 0.27619 | 0.125 | 240 | 6 | 45 | 40 | 0.380952 | 0.158333 | 0 | 0 | 0 | 0 | 0.269036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 |
add1bfb790d36509c7d34c46a8a5bb503cd25703 | 519 | py | Python | venv/Lib/site-packages/konlpy/hangul.py | movierecommend-chatbot/chat-bot | fc40c1937e8f597230578c1957305ad22f8280e4 | [
"bzip2-1.0.6"
] | null | null | null | venv/Lib/site-packages/konlpy/hangul.py | movierecommend-chatbot/chat-bot | fc40c1937e8f597230578c1957305ad22f8280e4 | [
"bzip2-1.0.6"
] | null | null | null | venv/Lib/site-packages/konlpy/hangul.py | movierecommend-chatbot/chat-bot | fc40c1937e8f597230578c1957305ad22f8280e4 | [
"bzip2-1.0.6"
] | null | null | null | #! /usr/bin/python
# -*- coding: utf-8 -*-
def compose_char(char):
return NotImplementedError
def compose(string):
return NotImplementedError
def decompose_char(char):
return NotImplementedError
def decompose(string, aslist=False):
l = (decompose_char(c) for c in string)
if aslist:
... | 14.828571 | 43 | 0.620424 | 57 | 519 | 5.578947 | 0.54386 | 0.314465 | 0.264151 | 0.207547 | 0.226415 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002604 | 0.260116 | 519 | 34 | 44 | 15.264706 | 0.825521 | 0.105973 | 0 | 0.266667 | 0 | 0 | 0.002278 | 0 | 0 | 0 | 0 | 0.058824 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.2 | 0.733333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
adffcbf2f391b71d8fde39d0d9e499ecc83df09b | 2,802 | py | Python | tests/utils/test_utils_has_lost.py | battleforcastile/battleforcastile | 65223fcb56ecc550f1a7c7b70beadff22c866d85 | [
"MIT"
] | null | null | null | tests/utils/test_utils_has_lost.py | battleforcastile/battleforcastile | 65223fcb56ecc550f1a7c7b70beadff22c866d85 | [
"MIT"
] | 1 | 2021-08-21T10:16:03.000Z | 2021-08-21T10:16:03.000Z | tests/utils/test_utils_has_lost.py | battleforcastile/battleforcastile | 65223fcb56ecc550f1a7c7b70beadff22c866d85 | [
"MIT"
] | null | null | null | from battleforcastile.utils.has_lost import has_lost
def test_if_has_lost_is_true_when_character_has_lower_value_and_an_empty_hand():
state = {
'hero': {
'value': 10
},
'board': [[], []],
'enemy': {
'value': 20
}
}
num_cards_in_hand_hero = 0
... | 28.30303 | 95 | 0.577802 | 364 | 2,802 | 3.903846 | 0.104396 | 0.135116 | 0.168895 | 0.236453 | 0.948628 | 0.938072 | 0.938072 | 0.933849 | 0.92822 | 0.92822 | 0 | 0.018302 | 0.298001 | 2,802 | 98 | 96 | 28.591837 | 0.704118 | 0 | 0 | 0.670588 | 0 | 0 | 0.092077 | 0 | 0 | 0 | 0 | 0 | 0.070588 | 1 | 0.070588 | false | 0 | 0.011765 | 0 | 0.082353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bc039ad3cf1ece508f29574d0c504b375b924109 | 17,915 | py | Python | bLib/trash.py | scottwedge/blib | 9a035dafad46fb2723562f19b4549a4216c2cf7d | [
"MIT"
] | 7 | 2020-07-15T08:40:34.000Z | 2022-03-02T07:00:02.000Z | bLib/trash.py | scottwedge/blib | 9a035dafad46fb2723562f19b4549a4216c2cf7d | [
"MIT"
] | 2 | 2020-05-20T01:37:38.000Z | 2020-05-20T01:55:35.000Z | bLib/trash.py | scottwedge/blib | 9a035dafad46fb2723562f19b4549a4216c2cf7d | [
"MIT"
] | 2 | 2020-05-20T01:32:47.000Z | 2020-11-25T07:59:24.000Z |
self.cur_inp = radamsa.radamsa(testcase.fullpath)
while not self.cur_inp:
self.cur_inp = radamsa.radamsa(testcase.fullpath)
self.logger.info('mutating ' + testcase)
r = self.executor.exec_one(self.cur_inp)
if r == OK:
pass
elif r == CRASH:
self.logger.info('testcase result in a crash')
... | 26.580119 | 84 | 0.688585 | 2,688 | 17,915 | 4.431548 | 0.098214 | 0.039456 | 0.027032 | 0.013432 | 0.873741 | 0.862576 | 0.85779 | 0.837727 | 0.837727 | 0.834201 | 0 | 0.007034 | 0.166788 | 17,915 | 674 | 85 | 26.580119 | 0.790983 | 0 | 0 | 0.8473 | 0 | 0 | 0.085125 | 0 | 0 | 0 | 0.000816 | 0.001484 | 0 | 0 | null | null | 0.001862 | 0 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
bc3ac99bf8f85c9552b873d1229ecaaef282d0e7 | 99,172 | py | Python | dlkit/manager_impls/repository/managers.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 2 | 2018-02-23T12:16:11.000Z | 2020-10-08T17:54:24.000Z | dlkit/manager_impls/repository/managers.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 87 | 2017-04-21T18:57:15.000Z | 2021-12-13T19:43:57.000Z | dlkit/manager_impls/repository/managers.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 1 | 2018-03-01T16:44:25.000Z | 2018-03-01T16:44:25.000Z | """Manager utility implementations of repository managers."""
# pylint: disable=no-init
# Numerous classes don't require __init__.
# pylint: disable=too-many-public-methods
# Number of methods are defined in specification
# pylint: disable=too-many-ancestors
# Inheritance defined in specification
from ..o... | 41.442541 | 155 | 0.640816 | 9,796 | 99,172 | 6.33432 | 0.023785 | 0.052215 | 0.031587 | 0.036099 | 0.956697 | 0.921967 | 0.889897 | 0.823387 | 0.803984 | 0.783259 | 0 | 0 | 0.265055 | 99,172 | 2,392 | 156 | 41.459866 | 0.851343 | 0.666065 | 0 | 0.577825 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.298507 | false | 0 | 0.010661 | 0 | 0.501066 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
70c3a4e66a458130d30abfeb7d2aff4b3c4d00a5 | 18,264 | py | Python | varsom_avalanche_client/api/avalanche_warning_by_coordinates_api.py | NVE/python-varsom-avalanche-client | c7787bf070d8ea91efd3a2a9e7782eedd4961528 | [
"MIT"
] | null | null | null | varsom_avalanche_client/api/avalanche_warning_by_coordinates_api.py | NVE/python-varsom-avalanche-client | c7787bf070d8ea91efd3a2a9e7782eedd4961528 | [
"MIT"
] | null | null | null | varsom_avalanche_client/api/avalanche_warning_by_coordinates_api.py | NVE/python-varsom-avalanche-client | c7787bf070d8ea91efd3a2a9e7782eedd4961528 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Snøskredvarsel API
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: v5.0.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
im... | 44.655257 | 143 | 0.625876 | 2,085 | 18,264 | 5.265707 | 0.078657 | 0.044448 | 0.068859 | 0.110939 | 0.952273 | 0.950906 | 0.945259 | 0.934876 | 0.933509 | 0.932143 | 0 | 0.014556 | 0.277814 | 18,264 | 408 | 144 | 44.764706 | 0.817817 | 0.305081 | 0 | 0.786667 | 1 | 0 | 0.260012 | 0.101846 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031111 | false | 0 | 0.017778 | 0 | 0.093333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
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