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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
538a493d99ff3d905d532327c5a14418aa3d3b7e | 10,614 | py | Python | scripts/biotimesql.py | Jay-Iam/retriever | 26e321cdb86fcb4cb78184c4bf5c0c6902a97d2c | [
"MIT"
] | null | null | null | scripts/biotimesql.py | Jay-Iam/retriever | 26e321cdb86fcb4cb78184c4bf5c0c6902a97d2c | [
"MIT"
] | 1 | 2019-02-23T14:11:34.000Z | 2019-02-28T21:18:51.000Z | scripts/biotimesql.py | harshitbansal05/retriever | a5b849ee5ed3cc8a92f8aff93e5ec2ba54599213 | [
"MIT"
] | 1 | 2020-01-06T11:37:54.000Z | 2020-01-06T11:37:54.000Z | # -*- coding: utf-8 -*-
#retriever
import csv
from pkg_resources import parse_version
from retriever.lib.models import Table
from retriever.lib.templates import Script
try:
from retriever.lib.defaults import VERSION
try:
from retriever.lib.tools import open_fr, open_fw, open_csvw
except ImportEr... | 39.022059 | 216 | 0.531939 | 1,105 | 10,614 | 4.885068 | 0.224434 | 0.072249 | 0.055576 | 0.048166 | 0.326973 | 0.316969 | 0.316969 | 0.316969 | 0.316969 | 0.299555 | 0 | 0.026086 | 0.299322 | 10,614 | 271 | 217 | 39.166052 | 0.699745 | 0.029489 | 0 | 0.233766 | 0 | 0.004329 | 0.209917 | 0.002334 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008658 | false | 0 | 0.04329 | 0 | 0.056277 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538b8d9cb91e4b908b2574c10cefedcf90ea344f | 6,356 | py | Python | day5.py | PLCoster/adventofcode2019 | 7aad1503dcf80b127b21191850ad9c93f91a602a | [
"MIT"
] | 1 | 2019-12-09T21:26:22.000Z | 2019-12-09T21:26:22.000Z | day5.py | PLCoster/adventofcode2019 | 7aad1503dcf80b127b21191850ad9c93f91a602a | [
"MIT"
] | null | null | null | day5.py | PLCoster/adventofcode2019 | 7aad1503dcf80b127b21191850ad9c93f91a602a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 2 11:06:59 2019
@author: Paul
"""
def read_data(filename):
"""
Reads csv file into a list, and converts to ints
"""
data = []
f = open(filename, 'r')
for line in f:
data += line.strip('\n').split(',')
... | 34.73224 | 92 | 0.522498 | 938 | 6,356 | 3.506397 | 0.221748 | 0.024324 | 0.027364 | 0.018243 | 0.378535 | 0.364853 | 0.343569 | 0.297355 | 0.297355 | 0.297355 | 0 | 0.105316 | 0.369572 | 6,356 | 182 | 93 | 34.923077 | 0.715498 | 0.512429 | 0 | 0.358974 | 0 | 0 | 0.048188 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0 | 0 | 0.051282 | 0.064103 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538cf8a863a1cdd537656657d4741a5309d4d759 | 8,079 | py | Python | test/test_purchasing.py | jacob22/accounting | e2fceea880e3f056703ba97b6cf52b73cd7af93b | [
"Apache-2.0"
] | null | null | null | test/test_purchasing.py | jacob22/accounting | e2fceea880e3f056703ba97b6cf52b73cd7af93b | [
"Apache-2.0"
] | null | null | null | test/test_purchasing.py | jacob22/accounting | e2fceea880e3f056703ba97b6cf52b73cd7af93b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2019 Open End AB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 39.409756 | 89 | 0.564179 | 868 | 8,079 | 5.163594 | 0.300691 | 0.026104 | 0.042169 | 0.024543 | 0.510933 | 0.421464 | 0.403614 | 0.376841 | 0.296073 | 0.231147 | 0 | 0.034464 | 0.317614 | 8,079 | 204 | 90 | 39.602941 | 0.778523 | 0.112143 | 0 | 0.344156 | 0 | 0 | 0.116305 | 0.03233 | 0 | 0 | 0 | 0 | 0.045455 | 1 | 0.058442 | false | 0 | 0.084416 | 0 | 0.168831 | 0.019481 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538d31ed98e59299719777fcb1330ca052cef24d | 1,455 | py | Python | iot/downstream/fog_processes.py | SENERGY-Platform/senergy-connector | 7198f6b2ec08b3c09c53755f259a2711921fdcbe | [
"Apache-2.0"
] | null | null | null | iot/downstream/fog_processes.py | SENERGY-Platform/senergy-connector | 7198f6b2ec08b3c09c53755f259a2711921fdcbe | [
"Apache-2.0"
] | null | null | null | iot/downstream/fog_processes.py | SENERGY-Platform/senergy-connector | 7198f6b2ec08b3c09c53755f259a2711921fdcbe | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 InfAI (CC SES)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in... | 31.630435 | 96 | 0.648797 | 186 | 1,455 | 4.88172 | 0.580645 | 0.066079 | 0.028634 | 0.035242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00932 | 0.262543 | 1,455 | 45 | 97 | 32.333333 | 0.836906 | 0.380756 | 0 | 0 | 0 | 0 | 0.049826 | 0.035921 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.136364 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538daa45b22d9013e84ef526505b8753b513ae7f | 2,522 | py | Python | day07/test.py | mpirnat/aoc2016 | 1aec59aca01541d0d1c30f85d4668959c82fa35c | [
"MIT"
] | null | null | null | day07/test.py | mpirnat/aoc2016 | 1aec59aca01541d0d1c30f85d4668959c82fa35c | [
"MIT"
] | null | null | null | day07/test.py | mpirnat/aoc2016 | 1aec59aca01541d0d1c30f85d4668959c82fa35c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import unittest
from day07 import has_abba, get_abba_allowed_strings, get_abba_disallowed_strings
from day07 import supports_tls, count_tls_addresses
from day07 import find_abas, supports_ssl, count_ssl_addresses
class TestFindingABBASequences(unittest.TestCase):
cases = (
('abba', ... | 27.714286 | 81 | 0.635607 | 292 | 2,522 | 5.284247 | 0.273973 | 0.093325 | 0.057032 | 0.077771 | 0.407647 | 0.375243 | 0.353856 | 0.353856 | 0.300713 | 0.300713 | 0 | 0.005157 | 0.231166 | 2,522 | 90 | 82 | 28.022222 | 0.790614 | 0.00793 | 0 | 0.212121 | 0 | 0 | 0.10076 | 0.019192 | 0 | 0 | 0 | 0 | 0.121212 | 1 | 0.121212 | false | 0 | 0.060606 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538e1ba9c8f2894b4bdf8950c5cd9a8fa42ed826 | 4,787 | py | Python | rlnets/PG.py | HTRPOCODES/HTRPO-v2 | 7e085e8077e6caa38d192bbd33b41c49b36ad6a6 | [
"MIT"
] | 7 | 2020-02-24T15:05:20.000Z | 2021-08-24T02:27:13.000Z | rlnets/PG.py | ZhangHanbo/Deep-Reinforcement-Learning-Package | 10ab418fcb4807747ebe162920f3df1e80b80a2a | [
"MIT"
] | null | null | null | rlnets/PG.py | ZhangHanbo/Deep-Reinforcement-Learning-Package | 10ab418fcb4807747ebe162920f3df1e80b80a2a | [
"MIT"
] | 1 | 2020-04-11T13:08:23.000Z | 2020-04-11T13:08:23.000Z | import torch
import numpy as np
import torch.nn.functional as F
from torch.autograd import Variable
from basenets.MLP import MLP
from basenets.Conv import Conv
from torch import nn
class FCPG_Gaussian(MLP):
def __init__(self,
n_inputfeats,
n_actions,
sigma,
... | 34.192857 | 91 | 0.48569 | 483 | 4,787 | 4.621118 | 0.248447 | 0.053763 | 0.032258 | 0.045699 | 0.694444 | 0.694444 | 0.653226 | 0.630376 | 0.59543 | 0.561828 | 0 | 0.01652 | 0.430959 | 4,787 | 139 | 92 | 34.438849 | 0.802863 | 0.091707 | 0 | 0.68254 | 0 | 0 | 0.017329 | 0 | 0 | 0 | 0 | 0.007194 | 0 | 1 | 0.063492 | false | 0 | 0.055556 | 0 | 0.18254 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538e7c69b579d9dbd9a344fd3df293fc4cfca562 | 10,057 | py | Python | tensorflow/python/kernel_tests/sparse_tensors_map_ops_test.py | m4rkl1u/tensorflow | 90a8825c7ae9719e8969d45040b4155b0e7de130 | [
"Apache-2.0"
] | 2 | 2018-12-05T10:58:40.000Z | 2019-01-24T11:36:01.000Z | tensorflow/python/kernel_tests/sparse_tensors_map_ops_test.py | m4rkl1u/tensorflow | 90a8825c7ae9719e8969d45040b4155b0e7de130 | [
"Apache-2.0"
] | null | null | null | tensorflow/python/kernel_tests/sparse_tensors_map_ops_test.py | m4rkl1u/tensorflow | 90a8825c7ae9719e8969d45040b4155b0e7de130 | [
"Apache-2.0"
] | 2 | 2019-02-26T16:21:15.000Z | 2020-12-04T17:48:17.000Z | # Copyright 2015 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... | 42.079498 | 80 | 0.704484 | 1,308 | 10,057 | 5.127676 | 0.17737 | 0.028329 | 0.054272 | 0.029521 | 0.521545 | 0.460713 | 0.382138 | 0.331892 | 0.331892 | 0.280602 | 0 | 0.031189 | 0.187034 | 10,057 | 238 | 81 | 42.256303 | 0.789139 | 0.083424 | 0 | 0.237288 | 0 | 0 | 0.031332 | 0.01349 | 0 | 0 | 0 | 0 | 0.135593 | 1 | 0.056497 | false | 0 | 0.073446 | 0 | 0.163842 | 0.00565 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538f0d9adeec1b1a9f1d17d56827c035463ad1c5 | 1,412 | py | Python | ceph/tests/conftest.py | remicalixte/integrations-core | b115e18c52820fe1a92495f538fdc14ddf83cfe1 | [
"BSD-3-Clause"
] | 1 | 2021-03-24T13:00:14.000Z | 2021-03-24T13:00:14.000Z | ceph/tests/conftest.py | remicalixte/integrations-core | b115e18c52820fe1a92495f538fdc14ddf83cfe1 | [
"BSD-3-Clause"
] | null | null | null | ceph/tests/conftest.py | remicalixte/integrations-core | b115e18c52820fe1a92495f538fdc14ddf83cfe1 | [
"BSD-3-Clause"
] | null | null | null | # (C) Datadog, Inc. 2018-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
import os
import pytest
from datadog_checks.dev import docker_run
from datadog_checks.dev.conditions import CheckDockerLogs
from datadog_checks.dev.subprocess import run_command
from .common import BAS... | 32.837209 | 115 | 0.659348 | 183 | 1,412 | 4.961749 | 0.562842 | 0.072687 | 0.056167 | 0.066079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015288 | 0.212465 | 1,412 | 42 | 116 | 33.619048 | 0.801259 | 0.160057 | 0 | 0.068966 | 0 | 0.034483 | 0.312977 | 0.108567 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.206897 | 0 | 0.241379 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538f4e290b42893ff7be5c3f3a19a555501eb1e6 | 3,025 | py | Python | federation/hostmeta/fetchers.py | weex/federation | 01357aacb04b076442ce5f803a0fc65df5a74d09 | [
"BSD-3-Clause"
] | 93 | 2016-11-26T10:52:13.000Z | 2022-01-15T20:07:35.000Z | federation/hostmeta/fetchers.py | weex/federation | 01357aacb04b076442ce5f803a0fc65df5a74d09 | [
"BSD-3-Clause"
] | 75 | 2016-10-18T10:15:44.000Z | 2019-10-05T22:16:32.000Z | federation/hostmeta/fetchers.py | weex/federation | 01357aacb04b076442ce5f803a0fc65df5a74d09 | [
"BSD-3-Clause"
] | 9 | 2017-04-08T08:03:45.000Z | 2021-09-13T22:00:48.000Z | import json
from typing import Dict, Optional
import requests
from federation.hostmeta.parsers import (
parse_nodeinfo_document, parse_nodeinfo2_document, parse_statisticsjson_document, parse_mastodon_document,
parse_matrix_document, parse_misskey_document)
from federation.utils.network import fetch_document
... | 28.809524 | 110 | 0.668099 | 375 | 3,025 | 5.221333 | 0.208 | 0.067416 | 0.042901 | 0.110827 | 0.480592 | 0.433606 | 0.417773 | 0.417773 | 0.417773 | 0.395812 | 0 | 0.006879 | 0.231074 | 3,025 | 104 | 111 | 29.086538 | 0.83405 | 0.038678 | 0 | 0.506024 | 0 | 0 | 0.056129 | 0.025826 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072289 | false | 0 | 0.060241 | 0 | 0.325301 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538fd4b4cff424f1346a608bba50033518ef9ea5 | 2,582 | py | Python | features/analysis_features.py | iag0g0mes/t2_fis_driving_style | 7f62ac3e67e65e7bd1273a2f845eb05820e95b70 | [
"Apache-2.0"
] | 5 | 2021-04-20T16:03:37.000Z | 2022-03-11T00:13:11.000Z | features/analysis_features.py | iag0g0mes/t2_fis_driving_style | 7f62ac3e67e65e7bd1273a2f845eb05820e95b70 | [
"Apache-2.0"
] | 1 | 2021-04-21T02:35:38.000Z | 2021-04-21T12:54:14.000Z | features/analysis_features.py | iag0g0mes/t2fis_driving_style | 7f62ac3e67e65e7bd1273a2f845eb05820e95b70 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from typing import Any, Dict, List, Tuple, NoReturn
import argparse
import os
def parse_arguments() -> Any:
"""Parse command line arguments."""
parser = argparse.ArgumentParser()
parser.add_argument(
"--data_dir",
default="",
type=str,
help="Directory where the features (npy files) a... | 23.907407 | 88 | 0.606119 | 371 | 2,582 | 4.043127 | 0.331536 | 0.028 | 0.045333 | 0.032 | 0.201333 | 0.096 | 0.072 | 0.072 | 0 | 0 | 0 | 0.027171 | 0.201782 | 2,582 | 107 | 89 | 24.130841 | 0.700631 | 0.134392 | 0 | 0.04918 | 0 | 0.016393 | 0.281066 | 0.062811 | 0 | 0 | 0 | 0 | 0.032787 | 1 | 0.032787 | false | 0 | 0.065574 | 0 | 0.114754 | 0.098361 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
538fed081c6f7c33b40d25f1c7cac9cd82761148 | 2,916 | py | Python | python-watcher-2.0.0/watcher/tests/notifications/test_service_notifications.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | null | null | null | python-watcher-2.0.0/watcher/tests/notifications/test_service_notifications.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | python-watcher-2.0.0/watcher/tests/notifications/test_service_notifications.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # -*- encoding: utf-8 -*-
# Copyright (c) 2017 Servionica
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 37.384615 | 79 | 0.607339 | 318 | 2,916 | 5.41195 | 0.484277 | 0.051133 | 0.037769 | 0.018594 | 0.087159 | 0.059268 | 0.059268 | 0.059268 | 0.059268 | 0 | 0 | 0.024558 | 0.301783 | 2,916 | 77 | 80 | 37.87013 | 0.820727 | 0.196845 | 0 | 0.113208 | 0 | 0 | 0.177128 | 0.061909 | 0 | 0 | 0 | 0 | 0.037736 | 1 | 0.056604 | false | 0 | 0.169811 | 0 | 0.264151 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
539267e2204960bd72eacaf1dd33c30f2edce8d2 | 1,270 | py | Python | dca_models/deform_offsets_module.py | vatsalag99/Deformable-Channel-Attention | d904135fd7be45331a16d9cb84e44f8e1ff5c07e | [
"MIT"
] | 1 | 2020-12-01T20:57:09.000Z | 2020-12-01T20:57:09.000Z | dca_models/deform_offsets_module.py | vatsalag99/Deformable-Channel-Attention | d904135fd7be45331a16d9cb84e44f8e1ff5c07e | [
"MIT"
] | null | null | null | dca_models/deform_offsets_module.py | vatsalag99/Deformable-Channel-Attention | d904135fd7be45331a16d9cb84e44f8e1ff5c07e | [
"MIT"
] | null | null | null | import torch
from torch import nn
from torch.nn.parameter import Parameter
from einops import rearrange, reduce, repeat
class dca_offsets_layer(nn.Module):
"""Constructs a Offset Generation module.
"""
def __init__(self, channel, n_offsets):
super(dca_offsets_layer, self).__init__()
self.... | 35.277778 | 82 | 0.640157 | 178 | 1,270 | 4.38764 | 0.393258 | 0.076825 | 0.070423 | 0.046095 | 0.112676 | 0.112676 | 0.069142 | 0 | 0 | 0 | 0 | 0.014508 | 0.240157 | 1,270 | 35 | 83 | 36.285714 | 0.794819 | 0.088976 | 0 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.166667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53990709c9653095e01a4f58d04ac79451da6d42 | 3,921 | py | Python | src/syft/lib/__init__.py | godormad/PySyft | fcb3374b6318dcccf377175fb8db6f70e9e1d1e3 | [
"Apache-2.0"
] | null | null | null | src/syft/lib/__init__.py | godormad/PySyft | fcb3374b6318dcccf377175fb8db6f70e9e1d1e3 | [
"Apache-2.0"
] | null | null | null | src/syft/lib/__init__.py | godormad/PySyft | fcb3374b6318dcccf377175fb8db6f70e9e1d1e3 | [
"Apache-2.0"
] | null | null | null | # stdlib
import importlib
import sys
from typing import Any
from typing import Any as TypeAny
from typing import Dict as TypeDict
from typing import Optional
# third party
from packaging import version
# syft relative
from ..ast.globals import Globals
from ..lib.python import create_python_ast
from ..lib.torch import... | 35.972477 | 88 | 0.665902 | 486 | 3,921 | 5.117284 | 0.226337 | 0.033776 | 0.025734 | 0.024125 | 0.185364 | 0.133092 | 0.10776 | 0.10776 | 0.10776 | 0.10776 | 0 | 0.00034 | 0.250446 | 3,921 | 108 | 89 | 36.305556 | 0.845866 | 0.090283 | 0 | 0.105263 | 0 | 0 | 0.100703 | 0.016315 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039474 | false | 0.013158 | 0.276316 | 0 | 0.355263 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5399748c26ec62ec3b268e3e29283c1ccc28b398 | 8,742 | py | Python | scripts/griffin_GC_counts.py | GavinHaLab/Griffin | 83942189c0e3e62ac533d6b6a5ffd7d2dfd2d4b3 | [
"BSD-3-Clause-Clear"
] | 1 | 2021-09-08T05:43:15.000Z | 2021-09-08T05:43:15.000Z | scripts/griffin_GC_counts.py | GavinHaLab/Griffin | 83942189c0e3e62ac533d6b6a5ffd7d2dfd2d4b3 | [
"BSD-3-Clause-Clear"
] | null | null | null | scripts/griffin_GC_counts.py | GavinHaLab/Griffin | 83942189c0e3e62ac533d6b6a5ffd7d2dfd2d4b3 | [
"BSD-3-Clause-Clear"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
import pysam
import os
import pandas as pd
import numpy as np
import time
import argparse
import sys
from multiprocessing import Pool
# In[ ]:
# ##arguments for testing
# bam_file_path = '/fh/scratch/delete90/ha_g/realigned_bams/cfDNA_MBC_ULP_hg38/realign_bam_pa... | 33.366412 | 241 | 0.636811 | 1,220 | 8,742 | 4.332787 | 0.240164 | 0.049943 | 0.037457 | 0.031782 | 0.260121 | 0.19126 | 0.146046 | 0.125615 | 0.081347 | 0.052213 | 0 | 0.011662 | 0.22512 | 8,742 | 261 | 242 | 33.494253 | 0.768674 | 0.309883 | 0 | 0.036697 | 0 | 0 | 0.152726 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009174 | false | 0 | 0.073395 | 0 | 0.082569 | 0.155963 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
5399b6c7047b5726e42c8b72d0dc40c3dfb01acf | 4,372 | py | Python | task2/04-task2-upload-dim-tables.py | canovasjm/InterviewProject_JuanCanovas | 6ff385c66664328cea0678454560e89e44851e24 | [
"MIT"
] | null | null | null | task2/04-task2-upload-dim-tables.py | canovasjm/InterviewProject_JuanCanovas | 6ff385c66664328cea0678454560e89e44851e24 | [
"MIT"
] | null | null | null | task2/04-task2-upload-dim-tables.py | canovasjm/InterviewProject_JuanCanovas | 6ff385c66664328cea0678454560e89e44851e24 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 1 18:17:07 2021
@author: jm
"""
# %% required libraries
import numpy as np
import pandas as pd
from sqlalchemy import create_engine
# %% connect to DB
# create connection using pymssql
engine = create_engine('mssql+pymssql://sa:<YourStrong@Passw... | 34.698413 | 133 | 0.730101 | 631 | 4,372 | 4.873217 | 0.212361 | 0.072846 | 0.028618 | 0.038699 | 0.347317 | 0.273496 | 0.212358 | 0.14374 | 0.124228 | 0.028618 | 0 | 0.010772 | 0.12946 | 4,372 | 125 | 134 | 34.976 | 0.797162 | 0.335087 | 0 | 0 | 0 | 0 | 0.23317 | 0.056802 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.029412 | 0.088235 | 0 | 0.088235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
539a58166d003e0486119a3a4445a376e8149b19 | 6,897 | py | Python | cogs/server.py | vikasbaghel1001/Kanna-Chan | 6f74978cb73b66cdb0952351a7e84a9e4ef4ebeb | [
"MIT"
] | 5 | 2021-10-17T07:29:42.000Z | 2022-03-23T11:01:58.000Z | cogs/server.py | vikasbaghel1001/Kanna-Chan | 6f74978cb73b66cdb0952351a7e84a9e4ef4ebeb | [
"MIT"
] | 1 | 2021-10-17T08:14:09.000Z | 2021-10-17T08:14:09.000Z | cogs/server.py | vikasbaghel1001/Kanna-Chan | 6f74978cb73b66cdb0952351a7e84a9e4ef4ebeb | [
"MIT"
] | 4 | 2021-07-12T04:20:22.000Z | 2021-10-01T03:29:50.000Z | import discord
from discord.ext import commands
arrow = "<a:right:877425183839891496>"
kwee = "<:kannawee:877036162122924072>"
kdance = "<a:kanna_dance:877038778798207016>"
kbored = "<:kanna_bored:877036162827583538>"
ksmug = "<:kanna_smug:877038777896427560>"
heart = "<a:explosion_heart:877426228775227392>"
class Se... | 54.307087 | 636 | 0.641438 | 915 | 6,897 | 4.774863 | 0.346448 | 0.019226 | 0.035248 | 0.048066 | 0.204166 | 0.186313 | 0.173724 | 0.138705 | 0.094759 | 0.055848 | 0 | 0.076276 | 0.258663 | 6,897 | 127 | 637 | 54.307087 | 0.778212 | 0 | 0 | 0.380165 | 0 | 0.090909 | 0.568136 | 0.07263 | 0 | 0 | 0.00232 | 0 | 0 | 1 | 0.016529 | false | 0 | 0.016529 | 0 | 0.057851 | 0.008264 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
539b84ee2616f61a9bf370a8a3b1b21465720328 | 10,016 | py | Python | paho/mqtt/subscribe.py | RandomGamer342/TTM4115-plantsensor | e63c34160d284bb6fd26563eeba949d54026348b | [
"MIT"
] | 8 | 2017-01-17T02:25:08.000Z | 2019-07-24T13:39:55.000Z | python/lib/python3.4/site-packages/paho/mqtt/subscribe.py | nidiascampos/smartgreen | d574d90918702ac3bd383ed77d673f871576c5b0 | [
"Apache-2.0"
] | 5 | 2018-11-20T16:57:21.000Z | 2019-03-17T19:59:52.000Z | python/lib/python3.4/site-packages/paho/mqtt/subscribe.py | nidiascampos/smartgreen | d574d90918702ac3bd383ed77d673f871576c5b0 | [
"Apache-2.0"
] | 9 | 2017-01-19T03:56:05.000Z | 2020-03-10T04:03:20.000Z | # Copyright (c) 2016 Roger Light <roger@atchoo.org>
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Eclipse Public License v1.0
# and Eclipse Distribution License v1.0 which accompany this distribution.
#
# The Eclipse Public License is available at
# ... | 38.523077 | 92 | 0.648862 | 1,304 | 10,016 | 4.921012 | 0.172546 | 0.02244 | 0.01122 | 0.012155 | 0.506311 | 0.490416 | 0.485429 | 0.47904 | 0.467508 | 0.467508 | 0 | 0.009149 | 0.26887 | 10,016 | 259 | 93 | 38.671815 | 0.867131 | 0.597644 | 0 | 0.278351 | 0 | 0 | 0.088998 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051546 | false | 0.030928 | 0.030928 | 0 | 0.123711 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
539b8675dc9b20bffab7e413aa5943d934069113 | 1,561 | py | Python | py/2017/day24/aoc_day_24.py | cs-cordero/advent-of-code | 614b8f78b43c54ef180a7dc411a0d1366a62944f | [
"MIT"
] | null | null | null | py/2017/day24/aoc_day_24.py | cs-cordero/advent-of-code | 614b8f78b43c54ef180a7dc411a0d1366a62944f | [
"MIT"
] | null | null | null | py/2017/day24/aoc_day_24.py | cs-cordero/advent-of-code | 614b8f78b43c54ef180a7dc411a0d1366a62944f | [
"MIT"
] | 2 | 2019-12-01T15:33:27.000Z | 2020-12-14T05:37:23.000Z | from collections import defaultdict
def solution():
starting_components = d[0]
best_scores = []
for component in starting_components:
n_a, n_b = get_ports(component)
nxt_port = n_a if n_b == 0 else n_b
best_scores.append(recurse(component, set(), nxt_port, 0))
print("fuck", max... | 27.875 | 88 | 0.59385 | 228 | 1,561 | 3.842105 | 0.307018 | 0.013699 | 0.077626 | 0.02968 | 0.136986 | 0.100457 | 0.100457 | 0.050228 | 0 | 0 | 0 | 0.028746 | 0.264574 | 1,561 | 55 | 89 | 28.381818 | 0.734321 | 0.090967 | 0 | 0 | 0 | 0 | 0.024165 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.029412 | 0.029412 | 0.176471 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
539eb7f2ba00a494348f5e2c2412e8b083606e64 | 1,048 | py | Python | live-plotting.py | rmhsawyer/EC601-Final-Project-Mapping_User_Face_To_Emoji | 05a61dca25ef6dc6827e3389a753eb65a09c1813 | [
"Apache-2.0"
] | null | null | null | live-plotting.py | rmhsawyer/EC601-Final-Project-Mapping_User_Face_To_Emoji | 05a61dca25ef6dc6827e3389a753eb65a09c1813 | [
"Apache-2.0"
] | 22 | 2017-11-10T21:37:20.000Z | 2017-12-05T22:36:50.000Z | live-plotting.py | rmhsawyer/EC601-Final-Project | 05a61dca25ef6dc6827e3389a753eb65a09c1813 | [
"Apache-2.0"
] | 3 | 2017-10-30T20:07:18.000Z | 2017-12-03T00:47:18.000Z | #draw the predictions from real-time.py
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib import style
style.use('fivethirtyeight')
fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
def animate(i):
graph_data = open('emotion.txt', 'r').read()
lines = graph_data.split('\n'... | 24.952381 | 78 | 0.605916 | 147 | 1,048 | 4.176871 | 0.380952 | 0.034202 | 0.087948 | 0.09772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020672 | 0.26145 | 1,048 | 41 | 79 | 25.560976 | 0.77261 | 0.03626 | 0 | 0 | 0 | 0 | 0.029732 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.085714 | 0 | 0.114286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53a13df64d25ae2c757b6265afa2baab533adc4f | 3,122 | py | Python | libs/Rack.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 22 | 2015-01-16T01:36:32.000Z | 2020-06-08T00:46:18.000Z | libs/Rack.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 8 | 2015-12-28T18:56:19.000Z | 2019-04-01T17:33:48.000Z | libs/Rack.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 13 | 2015-01-13T20:56:22.000Z | 2022-02-23T06:01:17.000Z | from KeyValueTree import KeyValueTree
from truth.models import KeyValue as TruthKeyValue, Truth
from systems.models import KeyValue as KeyValue
from django.test.client import RequestFactory
from api_v2.keyvalue_handler import KeyValueHandler
import json
factory = RequestFactory()
class Rack:
rack_name = None
... | 34.688889 | 122 | 0.575593 | 380 | 3,122 | 4.476316 | 0.236842 | 0.053498 | 0.042328 | 0.023516 | 0.221046 | 0.205761 | 0.205761 | 0.174015 | 0.126984 | 0.065256 | 0 | 0.009447 | 0.321909 | 3,122 | 89 | 123 | 35.078652 | 0.794048 | 0 | 0 | 0.234568 | 0 | 0 | 0.078475 | 0.016336 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061728 | false | 0.037037 | 0.08642 | 0 | 0.345679 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53a2e756b6afda167f3e4ff4e520ec037aac6965 | 9,526 | py | Python | poem.py | xcollantes/poetry-generator | 456c9702f0105b49b8c3edbb55043a10efbf359b | [
"MIT"
] | null | null | null | poem.py | xcollantes/poetry-generator | 456c9702f0105b49b8c3edbb55043a10efbf359b | [
"MIT"
] | null | null | null | poem.py | xcollantes/poetry-generator | 456c9702f0105b49b8c3edbb55043a10efbf359b | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import print_function
import datetime
import os
import random
import sys
import uuid
import base64
import yaml
import re
try:
import en
except:
print("DOWNLOD NODECUBE")
print("""wget https://www.nodebox.net/code/data/media/linguistics.zip
unzip lingui... | 39.526971 | 97 | 0.43607 | 909 | 9,526 | 4.524752 | 0.182618 | 0.039387 | 0.107221 | 0.054461 | 0.460491 | 0.385363 | 0.356188 | 0.324824 | 0.319232 | 0.319232 | 0 | 0.0165 | 0.43376 | 9,526 | 240 | 98 | 39.691667 | 0.746014 | 0.025089 | 0 | 0.339535 | 0 | 0 | 0.076426 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018605 | false | 0 | 0.051163 | 0 | 0.088372 | 0.023256 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53a4815531cf8a3d91a379873dd45b934995baa1 | 20,346 | py | Python | src/ncstyler/console.py | starofrainnight/ncstyler | d13a6fa330b955db1cb9aa7a6ff1751ec41e82eb | [
"MIT"
] | null | null | null | src/ncstyler/console.py | starofrainnight/ncstyler | d13a6fa330b955db1cb9aa7a6ff1751ec41e82eb | [
"MIT"
] | null | null | null | src/ncstyler/console.py | starofrainnight/ncstyler | d13a6fa330b955db1cb9aa7a6ff1751ec41e82eb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import argparse
import CppHeaderParser
import re
import sys
import yaml
import copy
import six
import os.path
import traceback
class CppDefine(dict):
def __init__(self):
self["name"] = None
self["parameters"] = []
self["line_number"] = -1
class CppDefineParameter(dic... | 38.172608 | 97 | 0.524182 | 2,118 | 20,346 | 4.74882 | 0.140227 | 0.097534 | 0.038179 | 0.024558 | 0.332969 | 0.215948 | 0.161762 | 0.102804 | 0.069 | 0.058958 | 0 | 0.003676 | 0.371572 | 20,346 | 532 | 98 | 38.244361 | 0.782966 | 0.073823 | 0 | 0.246883 | 0 | 0.002494 | 0.106685 | 0.019252 | 0 | 0 | 0 | 0.00188 | 0 | 1 | 0.042394 | false | 0.007481 | 0.022444 | 0.002494 | 0.129676 | 0.007481 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53a4ae1a747ba84b0abf192cd72d5b27b2b5e891 | 1,527 | py | Python | theone/wsgi/server.py | laozijiaojiangnan/TheOne | 73c1e7cee545c2eb2b2118f2dbf2d4d0c56e3824 | [
"Apache-2.0"
] | null | null | null | theone/wsgi/server.py | laozijiaojiangnan/TheOne | 73c1e7cee545c2eb2b2118f2dbf2d4d0c56e3824 | [
"Apache-2.0"
] | null | null | null | theone/wsgi/server.py | laozijiaojiangnan/TheOne | 73c1e7cee545c2eb2b2118f2dbf2d4d0c56e3824 | [
"Apache-2.0"
] | null | null | null | import typing as t
from http.server import HTTPServer, BaseHTTPRequestHandler
from . import response as resp
class WsgiServer(HTTPServer):
pass
class WsgiHandel(BaseHTTPRequestHandler):
def handle(self) -> None:
handle_response = SimpleHandler(self.wfile)
handle_response.send()
class Sim... | 28.277778 | 105 | 0.612967 | 186 | 1,527 | 4.919355 | 0.376344 | 0.144262 | 0.052459 | 0.065574 | 0.076503 | 0.076503 | 0 | 0 | 0 | 0 | 0 | 0.002646 | 0.257367 | 1,527 | 53 | 106 | 28.811321 | 0.804233 | 0.085789 | 0 | 0.066667 | 0 | 0.033333 | 0.142532 | 0.105383 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0.033333 | 0.1 | 0 | 0.366667 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53a59bcf9df24d2abf9133b0c94be6aa674beda0 | 4,462 | py | Python | pytorch_translate/attention/multihead_attention.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | 1 | 2019-06-14T20:20:39.000Z | 2019-06-14T20:20:39.000Z | pytorch_translate/attention/multihead_attention.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | null | null | null | pytorch_translate/attention/multihead_attention.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
from fairseq.modules import multihead_attention as fair_multihead
from pytorch_translate.attention import (
BaseAttention,
attention_utils,
register_attention,
)
@register_attention("multihead")
class MultiheadAttention(BaseAttention):
"""
Multiheaded Scaled Dot Product At... | 35.412698 | 85 | 0.62528 | 581 | 4,462 | 4.53012 | 0.266781 | 0.054711 | 0.054711 | 0.055851 | 0.2519 | 0.202128 | 0.105243 | 0.105243 | 0.086246 | 0.079407 | 0 | 0.009006 | 0.303227 | 4,462 | 125 | 86 | 35.696 | 0.837568 | 0.463469 | 0 | 0.038462 | 0 | 0 | 0.05038 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 1 | 0.038462 | false | 0 | 0.038462 | 0 | 0.134615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53a892c5198d37c345b5950774654f861533af79 | 2,904 | py | Python | problems/Kelvin_Helmholtz/problem.py | sddyates/mars | a56735bd344b7337151fb419b1c832b0c702ea69 | [
"MIT"
] | 1 | 2019-12-20T20:29:14.000Z | 2019-12-20T20:29:14.000Z | problems/Kelvin_Helmholtz/problem.py | sddyates/mars | a56735bd344b7337151fb419b1c832b0c702ea69 | [
"MIT"
] | 3 | 2019-08-30T08:12:16.000Z | 2020-05-15T16:19:53.000Z | problems/Kelvin_Helmholtz/problem.py | sddyates/mars | a56735bd344b7337151fb419b1c832b0c702ea69 | [
"MIT"
] | 1 | 2019-12-21T03:51:30.000Z | 2019-12-21T03:51:30.000Z |
from mars import main_loop
import numpy as np
from mars.settings import *
class Problem:
"""
Synopsis
--------
User class for the Kelvin-Helmholtz instability
Args
----
None
Methods
-------
initialise
Set all variables in each cell to initialise the simulation.
i... | 24.2 | 68 | 0.490358 | 364 | 2,904 | 3.785714 | 0.335165 | 0.01016 | 0.010885 | 0.036284 | 0.123367 | 0.123367 | 0.068215 | 0.068215 | 0.04209 | 0.04209 | 0 | 0.06859 | 0.367424 | 2,904 | 119 | 69 | 24.403361 | 0.681546 | 0.088499 | 0 | 0 | 0 | 0 | 0.229215 | 0 | 0 | 0 | 0 | 0.008403 | 0 | 1 | 0.040541 | false | 0 | 0.040541 | 0.013514 | 0.108108 | 0.013514 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53aaad486aeb5cf94c98b45787e68241bed70175 | 2,001 | py | Python | tests/test_minhash.py | azachar/pyminhash | 8a595fb25fe7172ea31d604fe8a40b8c11f1b8af | [
"MIT"
] | null | null | null | tests/test_minhash.py | azachar/pyminhash | 8a595fb25fe7172ea31d604fe8a40b8c11f1b8af | [
"MIT"
] | null | null | null | tests/test_minhash.py | azachar/pyminhash | 8a595fb25fe7172ea31d604fe8a40b8c11f1b8af | [
"MIT"
] | null | null | null | import pytest
from pyminhash import MinHash
from pyminhash.datasets import load_data
def test__sparse_vector():
df = load_data()
myMinHasher = MinHash(10)
res = myMinHasher._sparse_vectorize(df, 'name')
assert res.columns.tolist() == ['name', 'sparse_vector']
assert res['sparse_vector'].dtype == ... | 30.318182 | 102 | 0.667166 | 278 | 2,001 | 4.535971 | 0.284173 | 0.033307 | 0.031721 | 0.066614 | 0.333862 | 0.222046 | 0.187153 | 0.141158 | 0.071372 | 0.071372 | 0 | 0.033375 | 0.191404 | 2,001 | 65 | 103 | 30.784615 | 0.745983 | 0 | 0 | 0.28 | 0 | 0 | 0.10095 | 0 | 0 | 0 | 0 | 0 | 0.28 | 1 | 0.14 | false | 0 | 0.06 | 0 | 0.22 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ac58babeeeae8a59ad21aa748c5f201e132f9d | 1,325 | py | Python | openpicle/caravel.py | DX-MON/OpenPICle | c036333f807b1b4959af22bde8c4cac553ef162f | [
"BSD-3-Clause"
] | null | null | null | openpicle/caravel.py | DX-MON/OpenPICle | c036333f807b1b4959af22bde8c4cac553ef162f | [
"BSD-3-Clause"
] | null | null | null | openpicle/caravel.py | DX-MON/OpenPICle | c036333f807b1b4959af22bde8c4cac553ef162f | [
"BSD-3-Clause"
] | null | null | null | # SPDX-License-Identifier: BSD-3-Clause
from amaranth import Elaboratable, Module, Signal, ResetInserter, EnableInserter
__all__ = (
'PIC16Caravel',
)
class PIC16Caravel(Elaboratable):
def elaborate(self, platform):
from .pic16 import PIC16
from .soc.busses.qspi import QSPIBus
m = Module()
reset = Signal()
... | 25 | 82 | 0.682264 | 196 | 1,325 | 4.545918 | 0.357143 | 0.039282 | 0.050505 | 0.022447 | 0.029181 | 0.029181 | 0 | 0 | 0 | 0 | 0 | 0.018851 | 0.159245 | 1,325 | 52 | 83 | 25.480769 | 0.780969 | 0.027925 | 0 | 0 | 0 | 0 | 0.024883 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.071429 | 0.02381 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ad1ae14a311f840335b9dec9f60aa2cc4425a1 | 2,615 | py | Python | cogs/stats.py | est73/raid-shack | 727b79a50a0ff5a5fc1cdfe03d51ba6703343b2e | [
"MIT"
] | null | null | null | cogs/stats.py | est73/raid-shack | 727b79a50a0ff5a5fc1cdfe03d51ba6703343b2e | [
"MIT"
] | null | null | null | cogs/stats.py | est73/raid-shack | 727b79a50a0ff5a5fc1cdfe03d51ba6703343b2e | [
"MIT"
] | null | null | null | from discord.ext import commands
import discord
class Stats(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command()
@commands.has_permissions(manage_channels=True)
async def stats(self, ctx):
members = await ctx.guild.fetch_members(limit=None).flatten()
mem... | 35.337838 | 84 | 0.507457 | 291 | 2,615 | 4.402062 | 0.285223 | 0.046838 | 0.070258 | 0.074941 | 0.144418 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012666 | 0.396176 | 2,615 | 73 | 85 | 35.821918 | 0.798607 | 0 | 0 | 0 | 0 | 0 | 0.17782 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031746 | false | 0 | 0.031746 | 0 | 0.079365 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b14303d9879fe4fc46ca016bb6d34bfedbf48e | 35,783 | py | Python | inquire/agents/dempref.py | HARPLab/inquire | fa74eb10e5391a0f226753668a31527c68fc6962 | [
"BSD-3-Clause"
] | null | null | null | inquire/agents/dempref.py | HARPLab/inquire | fa74eb10e5391a0f226753668a31527c68fc6962 | [
"BSD-3-Clause"
] | null | null | null | inquire/agents/dempref.py | HARPLab/inquire | fa74eb10e5391a0f226753668a31527c68fc6962 | [
"BSD-3-Clause"
] | null | null | null | """
An agent which uses demonstrations and preferences.
Code adapted from Learning Reward Functions
by Integrating Human Demonstrations and Preferences.
"""
import itertools
import os
import time
from pathlib import Path
from typing import Dict, List
import arviz as az
from inquire.agents.agent import Agent
from inq... | 40.570295 | 123 | 0.506386 | 3,654 | 35,783 | 4.747126 | 0.151615 | 0.018448 | 0.016142 | 0.028479 | 0.304335 | 0.231062 | 0.184308 | 0.166551 | 0.155828 | 0.131097 | 0 | 0.006986 | 0.423944 | 35,783 | 881 | 124 | 40.616345 | 0.834522 | 0.211749 | 0 | 0.223154 | 0 | 0 | 0.03593 | 0.001862 | 0 | 0 | 0 | 0 | 0.011745 | 1 | 0.038591 | false | 0 | 0.028523 | 0 | 0.105705 | 0.003356 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b40880bc916c9f0a3ace8c04060a57ded76e7b | 24,347 | py | Python | virtual/lib/python3.8/site-packages/dns/zonefile.py | Lenus254/personal_blog | aac38e4b5372c86efa8e24db2e051fef8e5feef8 | [
"Unlicense"
] | 1 | 2022-01-27T05:54:14.000Z | 2022-01-27T05:54:14.000Z | virtual/lib/python3.8/site-packages/dns/zonefile.py | Lenus254/personal_blog | aac38e4b5372c86efa8e24db2e051fef8e5feef8 | [
"Unlicense"
] | null | null | null | virtual/lib/python3.8/site-packages/dns/zonefile.py | Lenus254/personal_blog | aac38e4b5372c86efa8e24db2e051fef8e5feef8 | [
"Unlicense"
] | null | null | null | # Copyright (C) Dnspython Contributors, see LICENSE for text of ISC license
# Copyright (C) 2003-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and ... | 38.9552 | 83 | 0.548897 | 2,826 | 24,347 | 4.611465 | 0.14862 | 0.017726 | 0.045887 | 0.042971 | 0.40907 | 0.311234 | 0.262431 | 0.251381 | 0.218462 | 0.206952 | 0 | 0.004008 | 0.364686 | 24,347 | 624 | 84 | 39.017628 | 0.838505 | 0.207541 | 0 | 0.410835 | 0 | 0 | 0.027668 | 0.004629 | 0 | 0 | 0 | 0 | 0.004515 | 1 | 0.054176 | false | 0.004515 | 0.031603 | 0.006772 | 0.133183 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b4099090d815c2fccdfff9285d6d8c4361e95f | 11,719 | py | Python | swift/common/daemon.py | fossabot/swift-1 | 63fc013b8b96484cede0e9901ad54676b8c93298 | [
"Apache-2.0"
] | null | null | null | swift/common/daemon.py | fossabot/swift-1 | 63fc013b8b96484cede0e9901ad54676b8c93298 | [
"Apache-2.0"
] | null | null | null | swift/common/daemon.py | fossabot/swift-1 | 63fc013b8b96484cede0e9901ad54676b8c93298 | [
"Apache-2.0"
] | 1 | 2020-03-09T19:58:52.000Z | 2020-03-09T19:58:52.000Z | # Copyright (c) 2010-2012 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 36.621875 | 79 | 0.63572 | 1,526 | 11,719 | 4.757536 | 0.247051 | 0.025069 | 0.019835 | 0.017906 | 0.184711 | 0.1427 | 0.085399 | 0.051791 | 0.033333 | 0.033333 | 0 | 0.003415 | 0.275365 | 11,719 | 319 | 80 | 36.736677 | 0.851507 | 0.364707 | 0 | 0.252941 | 0 | 0 | 0.057796 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135294 | false | 0.005882 | 0.052941 | 0.005882 | 0.264706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b5ca21f061bcccc9e7720c97265d2e56f05552 | 1,305 | py | Python | backend/api/v1/auth_module/auth_api.py | aroraenterprise/projecteos | e1fb0438af8cb59b77792523c6616c480b23a6f8 | [
"MIT"
] | null | null | null | backend/api/v1/auth_module/auth_api.py | aroraenterprise/projecteos | e1fb0438af8cb59b77792523c6616c480b23a6f8 | [
"MIT"
] | null | null | null | backend/api/v1/auth_module/auth_api.py | aroraenterprise/projecteos | e1fb0438af8cb59b77792523c6616c480b23a6f8 | [
"MIT"
] | null | null | null | """
Project: flask-rest
Author: Saj Arora
Description: Handle auth endpoints such as auth/signup, auth/login
"""
from api.v1 import make_json_ok_response, SageController, SageMethod
from api.v1.fundamentals import helper
from .auth_controller import AuthController
def sage_auth_signup_function(self, resource, **kwarg... | 36.25 | 104 | 0.744828 | 166 | 1,305 | 5.680723 | 0.451807 | 0.033934 | 0.063627 | 0.057264 | 0.26087 | 0.127253 | 0.127253 | 0.127253 | 0.127253 | 0.127253 | 0 | 0.001869 | 0.180077 | 1,305 | 36 | 105 | 36.25 | 0.879439 | 0.256705 | 0 | 0.333333 | 0 | 0 | 0.018828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.125 | 0 | 0.291667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b6650eb89817fbb23a4d021878f43cb942eb48 | 538 | py | Python | QuGraphy/state.py | Mohamed-ShehabEldin/QuGraphy | c43fe7128f91e7bd383393f5ff16ff613077e8d7 | [
"Apache-2.0"
] | null | null | null | QuGraphy/state.py | Mohamed-ShehabEldin/QuGraphy | c43fe7128f91e7bd383393f5ff16ff613077e8d7 | [
"Apache-2.0"
] | null | null | null | QuGraphy/state.py | Mohamed-ShehabEldin/QuGraphy | c43fe7128f91e7bd383393f5ff16ff613077e8d7 | [
"Apache-2.0"
] | null | null | null | #this file will contain function that related to vector state
from .density import * #we may use some functions from them and dependencies
def row2col(vec):
if np.ndim(vec)==1:
col=[]
for element in vec:
col.append([element])
return col
else:
return vec
def che... | 25.619048 | 79 | 0.633829 | 74 | 538 | 4.581081 | 0.608108 | 0.023599 | 0.088496 | 0.129794 | 0.176991 | 0.176991 | 0 | 0 | 0 | 0 | 0 | 0.015228 | 0.267658 | 538 | 21 | 80 | 25.619048 | 0.845178 | 0.208178 | 0 | 0 | 0 | 0 | 0.136471 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b8d7ac852024e1d3318cbf747bac9b0ef35d8a | 28,857 | py | Python | RMtools_1D/do_RMsynth_1D.py | lh-astro/RM-Tools | ac64cc41b2f696f21ee7dd001303cbad1ff71114 | [
"MIT"
] | null | null | null | RMtools_1D/do_RMsynth_1D.py | lh-astro/RM-Tools | ac64cc41b2f696f21ee7dd001303cbad1ff71114 | [
"MIT"
] | null | null | null | RMtools_1D/do_RMsynth_1D.py | lh-astro/RM-Tools | ac64cc41b2f696f21ee7dd001303cbad1ff71114 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#=============================================================================#
# #
# NAME: do_RMsynth_1D.py #
# ... | 45.159624 | 111 | 0.524517 | 3,171 | 28,857 | 4.678966 | 0.208767 | 0.019411 | 0.018872 | 0.011862 | 0.270742 | 0.220395 | 0.145582 | 0.116061 | 0.10494 | 0.096583 | 0 | 0.017803 | 0.349863 | 28,857 | 638 | 112 | 45.230408 | 0.77304 | 0.278026 | 0 | 0.216418 | 0 | 0.002488 | 0.194327 | 0.001178 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00995 | false | 0 | 0.062189 | 0 | 0.077114 | 0.059701 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b93c021c611ea7b35c2a4e8768e23aee0fabe0 | 1,449 | py | Python | netket/utils/jax.py | gpescia/MyNetKet | 958510966a5870d9d491de0628903cf1fc210921 | [
"Apache-2.0"
] | 1 | 2022-01-31T15:19:09.000Z | 2022-01-31T15:19:09.000Z | netket/utils/jax.py | gpescia/MyNetKet | 958510966a5870d9d491de0628903cf1fc210921 | [
"Apache-2.0"
] | 26 | 2021-08-06T15:27:57.000Z | 2022-03-30T16:55:18.000Z | netket/utils/jax.py | gpescia/MyNetKet | 958510966a5870d9d491de0628903cf1fc210921 | [
"Apache-2.0"
] | 1 | 2021-04-25T15:47:32.000Z | 2021-04-25T15:47:32.000Z | # Copyright 2021 The NetKet 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 applicable ... | 30.829787 | 78 | 0.712215 | 218 | 1,449 | 4.605505 | 0.490826 | 0.039841 | 0.063745 | 0.038845 | 0.177291 | 0.177291 | 0.177291 | 0.177291 | 0.177291 | 0.177291 | 0 | 0.006897 | 0.199448 | 1,449 | 46 | 79 | 31.5 | 0.858621 | 0.574879 | 0 | 0.352941 | 0 | 0 | 0.126812 | 0.074275 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.117647 | 0.058824 | 0.705882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53b95578f3b9aa9d904006c7f7edb3a1fb45bd48 | 10,933 | py | Python | geetools/batch/featurecollection.py | Kungreye/gee_tools | d0712ac78410250c41503ca08075f536d58d2ef3 | [
"MIT"
] | null | null | null | geetools/batch/featurecollection.py | Kungreye/gee_tools | d0712ac78410250c41503ca08075f536d58d2ef3 | [
"MIT"
] | null | null | null | geetools/batch/featurecollection.py | Kungreye/gee_tools | d0712ac78410250c41503ca08075f536d58d2ef3 | [
"MIT"
] | null | null | null | # coding=utf-8
import ee
from . import utils
import json
import csv
from .. import tools
def fromShapefile(filename, crs=None, start=None, end=None):
""" Convert an ESRI file (.shp and .dbf must be present) to a
ee.FeatureCollection
At the moment only works for shapes with less than 1000 records and does... | 32.346154 | 83 | 0.611269 | 1,364 | 10,933 | 4.869501 | 0.232405 | 0.007528 | 0.006775 | 0.012045 | 0.18368 | 0.177356 | 0.154622 | 0.14589 | 0.132189 | 0.132189 | 0 | 0.009228 | 0.286381 | 10,933 | 338 | 84 | 32.346154 | 0.842092 | 0.30815 | 0 | 0.11828 | 0 | 0 | 0.06733 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053763 | false | 0 | 0.043011 | 0 | 0.150538 | 0.005376 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53bdcb0790280882aedd07e5cb2cef0159140f96 | 7,236 | py | Python | backend/chart/application/service/employees.py | toshi-click/chart_app | 10577d7835554a93688ae0c58ecb25fbe2925bec | [
"BSD-3-Clause"
] | null | null | null | backend/chart/application/service/employees.py | toshi-click/chart_app | 10577d7835554a93688ae0c58ecb25fbe2925bec | [
"BSD-3-Clause"
] | 7 | 2020-10-25T05:34:54.000Z | 2020-12-02T11:31:44.000Z | backend/chart/application/service/employees.py | toshi-click/chart_app | 10577d7835554a93688ae0c58ecb25fbe2925bec | [
"BSD-3-Clause"
] | 1 | 2021-04-30T16:51:43.000Z | 2021-04-30T16:51:43.000Z | import logging
from django.db import transaction, connection
from django.utils import timezone
from django.utils.timezone import localtime
from chart.application.enums.department_type import DepartmentType
from chart.application.enums.gender_type import GenderType
from chart.application.service.app_logic_base import ... | 43.590361 | 116 | 0.674268 | 769 | 7,236 | 6.024707 | 0.161248 | 0.023743 | 0.061515 | 0.044679 | 0.564213 | 0.472696 | 0.45068 | 0.394561 | 0.382258 | 0.320958 | 0 | 0.008906 | 0.224157 | 7,236 | 165 | 117 | 43.854545 | 0.816352 | 0.065644 | 0 | 0.25 | 0 | 0 | 0.08424 | 0.064328 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086538 | false | 0 | 0.076923 | 0 | 0.182692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c0dd2b4f081d4c8d070b26922f68bf139eaa76 | 4,138 | py | Python | .travis/manage_daily_builds.py | loonwerks/AGREE | 58640ab89aaa3c72ccca0b8c80cf96d1815981da | [
"BSD-3-Clause"
] | 5 | 2020-12-28T15:41:04.000Z | 2021-07-31T09:07:28.000Z | .travis/manage_daily_builds.py | loonwerks/AGREE | 58640ab89aaa3c72ccca0b8c80cf96d1815981da | [
"BSD-3-Clause"
] | 89 | 2020-01-27T17:16:00.000Z | 2022-03-31T09:57:25.000Z | .travis/manage_daily_builds.py | loonwerks/AGREE | 58640ab89aaa3c72ccca0b8c80cf96d1815981da | [
"BSD-3-Clause"
] | 5 | 2020-02-25T00:33:21.000Z | 2021-01-02T07:23:11.000Z | #!/usr/bin/env python3
'''
Copyright (c) 2021, Collins Aerospace.
Developed with the sponsorship of Defense Advanced Research Projects Agency (DARPA).
Permission is hereby granted, free of charge, to any person obtaining a copy of this data,
including any software or models in source or binary form, as well as any d... | 48.682353 | 137 | 0.678347 | 601 | 4,138 | 4.559068 | 0.357737 | 0.020438 | 0.034672 | 0.036496 | 0.133577 | 0.111679 | 0.089781 | 0.089781 | 0.089781 | 0.089781 | 0 | 0.005322 | 0.22813 | 4,138 | 84 | 138 | 49.261905 | 0.852536 | 0.386177 | 0 | 0.083333 | 0 | 0 | 0.152079 | 0.027327 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020833 | false | 0 | 0.104167 | 0 | 0.125 | 0.229167 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c1b1b92893f74554831ae30476aefdb5464370 | 5,743 | py | Python | tests/crowdsourcing/tasks/turn_annotations_static/test_turn_annotations_static_analysis.py | KaihuiLiang/ParlAI | fb5c92741243756516fa50073d34e94ba0b6981e | [
"MIT"
] | null | null | null | tests/crowdsourcing/tasks/turn_annotations_static/test_turn_annotations_static_analysis.py | KaihuiLiang/ParlAI | fb5c92741243756516fa50073d34e94ba0b6981e | [
"MIT"
] | 1 | 2020-11-12T02:20:02.000Z | 2020-11-12T02:20:02.000Z | tests/crowdsourcing/tasks/turn_annotations_static/test_turn_annotations_static_analysis.py | MoPei/ParlAI | 321bc857f2765cd76d5134531a802442ac4c9f5c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Test components of specific crowdsourcing tasks.
"""
import json
import os
import unittest
import pandas as pd
imp... | 37.292208 | 93 | 0.482675 | 520 | 5,743 | 5.034615 | 0.315385 | 0.063025 | 0.026738 | 0.02139 | 0.247517 | 0.224217 | 0.224217 | 0.189076 | 0.189076 | 0.189076 | 0 | 0.01182 | 0.440188 | 5,743 | 153 | 94 | 37.535948 | 0.802488 | 0.105346 | 0 | 0.247788 | 0 | 0 | 0.120805 | 0.040861 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00885 | false | 0.00885 | 0.070796 | 0 | 0.088496 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c38f978d506f03ad72b1b6b50a34e76cbf6a7b | 3,937 | py | Python | applied_python/applied_python/lib/python2.7/site-packages/ansible/modules/extras/messaging/rabbitmq_plugin.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | 1 | 2020-10-14T00:06:54.000Z | 2020-10-14T00:06:54.000Z | applied_python/applied_python/lib/python2.7/site-packages/ansible/modules/extras/messaging/rabbitmq_plugin.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | null | null | null | applied_python/applied_python/lib/python2.7/site-packages/ansible/modules/extras/messaging/rabbitmq_plugin.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | 2 | 2015-08-06T07:45:48.000Z | 2017-01-04T17:47:16.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2013, Chatham Financial <oss@chathamfinancial.com>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3... | 30.053435 | 88 | 0.654559 | 494 | 3,937 | 5.103239 | 0.3583 | 0.06545 | 0.01547 | 0.02261 | 0.13566 | 0.125347 | 0.069814 | 0.043633 | 0.043633 | 0 | 0 | 0.00404 | 0.245618 | 3,937 | 130 | 89 | 30.284615 | 0.844781 | 0.18796 | 0 | 0.210526 | 0 | 0 | 0.328194 | 0.014789 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063158 | false | 0 | 0.010526 | 0.010526 | 0.115789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c47f75ab180de02752f1ea49f9b87157a860e1 | 2,406 | py | Python | napari/layers/shapes/mesh.py | marshuang80/napari | 10f1d0f39fe9ccd42456c95458e2f23b59450f02 | [
"BSD-3-Clause"
] | null | null | null | napari/layers/shapes/mesh.py | marshuang80/napari | 10f1d0f39fe9ccd42456c95458e2f23b59450f02 | [
"BSD-3-Clause"
] | null | null | null | napari/layers/shapes/mesh.py | marshuang80/napari | 10f1d0f39fe9ccd42456c95458e2f23b59450f02 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
class Mesh:
"""Contains meshses of shapes that will ultimately get rendered.
Attributes
----------
vertices : np.ndarray
Qx2 array of vertices of all triangles for shapes including edges and
faces
vertices_centers : np.ndarray
Qx2 array of centers of ... | 38.806452 | 79 | 0.646301 | 343 | 2,406 | 4.469388 | 0.265306 | 0.046967 | 0.041748 | 0.029354 | 0.499674 | 0.454664 | 0.413568 | 0.413568 | 0.413568 | 0.302674 | 0 | 0.020138 | 0.277639 | 2,406 | 61 | 80 | 39.442623 | 0.86191 | 0.694929 | 0 | 0 | 0 | 0 | 0.01406 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c5eb302f7f03de564020dfecea1ce909aa994c | 12,916 | py | Python | configs/docker-ubuntu-img/para.py | MarioCarrilloA/stx-packaging | 56cf32c4d65ba20f9317102d922ce946a800527d | [
"Apache-2.0"
] | 1 | 2019-06-02T00:28:03.000Z | 2019-06-02T00:28:03.000Z | configs/docker-ubuntu-img/para.py | MarioCarrilloA/stx-packaging | 56cf32c4d65ba20f9317102d922ce946a800527d | [
"Apache-2.0"
] | 11 | 2019-04-05T16:04:54.000Z | 2019-08-23T19:24:49.000Z | configs/docker-ubuntu-img/para.py | MarioCarrilloA/stx-packaging | 56cf32c4d65ba20f9317102d922ce946a800527d | [
"Apache-2.0"
] | 5 | 2019-02-18T23:11:30.000Z | 2019-04-29T07:42:31.000Z | #!/usr/bin/python3
# vim:se tw=0 sts=4 ts=4 et ai:
"""
Copyright © 2014 Osamu Aoki
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to u... | 38.440476 | 554 | 0.477083 | 1,273 | 12,916 | 4.788688 | 0.298507 | 0.050525 | 0.03937 | 0.043307 | 0.149934 | 0.108596 | 0.058727 | 0.013451 | 0 | 0 | 0 | 0.005667 | 0.316894 | 12,916 | 335 | 555 | 38.555224 | 0.685141 | 0.148421 | 0 | 0.309434 | 0 | 0.007547 | 0.341297 | 0.029913 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007547 | false | 0 | 0.022642 | 0 | 0.041509 | 0.007547 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c6b101ead41851286a75be3bcca965a4128b2f | 6,164 | py | Python | build/lib/jet_django/views/model.py | lukejamison/jet-dasboard | 5dce66b6ea2f107d7120e5e0256346d2d3bc8ed9 | [
"MIT"
] | 193 | 2018-08-27T06:10:48.000Z | 2022-03-08T13:04:55.000Z | build/lib/jet_django/views/model.py | lukejamison/jet-dasboard | 5dce66b6ea2f107d7120e5e0256346d2d3bc8ed9 | [
"MIT"
] | 23 | 2018-10-21T15:05:41.000Z | 2020-12-20T15:18:58.000Z | build/lib/jet_django/views/model.py | lukejamison/jet-dasboard | 5dce66b6ea2f107d7120e5e0256346d2d3bc8ed9 | [
"MIT"
] | 38 | 2018-10-31T16:19:25.000Z | 2022-02-10T05:08:24.000Z | from django.core.exceptions import NON_FIELD_ERRORS
from rest_framework import status, viewsets, serializers
from rest_framework.decorators import list_route
from rest_framework.response import Response
from rest_framework.serializers import ModelSerializer
from jet_django.filters.model_aggregate import AggregateFilte... | 36.91018 | 161 | 0.638384 | 663 | 6,164 | 5.612368 | 0.182504 | 0.024187 | 0.024187 | 0.018275 | 0.387799 | 0.343187 | 0.294007 | 0.277882 | 0.277882 | 0.202634 | 0 | 0.001787 | 0.273524 | 6,164 | 166 | 162 | 37.13253 | 0.829165 | 0.019143 | 0 | 0.336066 | 0 | 0 | 0.046318 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0 | 0.081967 | 0 | 0.368852 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c796e3204469330950f66fd76505dd80903be6 | 8,086 | py | Python | davenetgame/dispatch/dispatcher.py | davefancella/davenetgame | f16c36539a3898ab4a021e63feef7fe497e5bc69 | [
"Apache-2.0"
] | null | null | null | davenetgame/dispatch/dispatcher.py | davefancella/davenetgame | f16c36539a3898ab4a021e63feef7fe497e5bc69 | [
"Apache-2.0"
] | null | null | null | davenetgame/dispatch/dispatcher.py | davefancella/davenetgame | f16c36539a3898ab4a021e63feef7fe497e5bc69 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
'''
Copyright 2016 Dave Fancella
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 applicab... | 34.703863 | 157 | 0.589661 | 937 | 8,086 | 4.983991 | 0.33191 | 0.013705 | 0.010278 | 0.008565 | 0.065953 | 0.029122 | 0.029122 | 0.029122 | 0 | 0 | 0 | 0.008734 | 0.320307 | 8,086 | 232 | 158 | 34.853448 | 0.840975 | 0.36186 | 0 | 0.184 | 0 | 0 | 0.086183 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144 | false | 0.016 | 0.024 | 0.024 | 0.312 | 0.112 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53c8f59b4f5c675f0331d7886d8de3f13a17f272 | 322 | py | Python | 03_Estrutura_de_Repeticao/13_potenciacao.py | gabrieldcpadilha/ListaDeExercicios-PythonBrasil | a92d477468bde5eac8987a26ea79af2ffeb6ad81 | [
"MIT"
] | null | null | null | 03_Estrutura_de_Repeticao/13_potenciacao.py | gabrieldcpadilha/ListaDeExercicios-PythonBrasil | a92d477468bde5eac8987a26ea79af2ffeb6ad81 | [
"MIT"
] | 10 | 2020-08-19T04:31:52.000Z | 2020-09-21T22:48:29.000Z | 03_Estrutura_de_Repeticao/13_potenciacao.py | gabrieldcpadilha/ListaDeExercicios-PythonBrasil | a92d477468bde5eac8987a26ea79af2ffeb6ad81 | [
"MIT"
] | null | null | null | base = int(input('Digite o valor da base: '))
expoente = 0
while expoente <= 0:
expoente = int(input('Digite o valor do expoente: '))
if expoente <= 0:
print('O expoente tem que ser positivo')
potencia = 1
for c in range(1, expoente + 1):
potencia *= base
print(f'{base}^ {expoente} = {potencia}'... | 21.466667 | 57 | 0.624224 | 47 | 322 | 4.276596 | 0.510638 | 0.134328 | 0.139303 | 0.149254 | 0.199005 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024194 | 0.229814 | 322 | 14 | 58 | 23 | 0.78629 | 0 | 0 | 0 | 0 | 0 | 0.354037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53cb133ef9cebb74671b9c48466b895d83fd6371 | 1,313 | py | Python | accounting/accounting/doctype/journal_entry/journal_entry.py | noahjacob/Accounting | 6be90c4f82867156532ca71b1faa9d017e3269af | [
"MIT"
] | 1 | 2021-04-05T06:22:16.000Z | 2021-04-05T06:22:16.000Z | accounting/accounting/doctype/journal_entry/journal_entry.py | mohsinalimat/Accounting | 6be90c4f82867156532ca71b1faa9d017e3269af | [
"MIT"
] | null | null | null | accounting/accounting/doctype/journal_entry/journal_entry.py | mohsinalimat/Accounting | 6be90c4f82867156532ca71b1faa9d017e3269af | [
"MIT"
] | 2 | 2021-04-05T06:22:17.000Z | 2021-04-10T06:05:36.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2021, Noah Jacob and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from frappe.utils import flt
from accounting.accounting.general_ledger import make_gl_entry, make_... | 29.840909 | 113 | 0.760853 | 198 | 1,313 | 4.873737 | 0.353535 | 0.093264 | 0.07772 | 0.062176 | 0.207254 | 0.111917 | 0 | 0 | 0 | 0 | 0 | 0.009717 | 0.137852 | 1,313 | 44 | 114 | 29.840909 | 0.842756 | 0.101295 | 0 | 0.074074 | 0 | 0 | 0.10034 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148148 | false | 0 | 0.185185 | 0 | 0.37037 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53cd4bfd1a117d3dcaa2d01161d38a59434bcf2f | 5,608 | py | Python | sources/datasets/client_dataset_definitions/client_dataset.py | M4rukku/impact_of_non_iid_data_in_federated_learning | c818db03699c82e42217d56f8ddd4cc2081c8bb1 | [
"MIT"
] | null | null | null | sources/datasets/client_dataset_definitions/client_dataset.py | M4rukku/impact_of_non_iid_data_in_federated_learning | c818db03699c82e42217d56f8ddd4cc2081c8bb1 | [
"MIT"
] | null | null | null | sources/datasets/client_dataset_definitions/client_dataset.py | M4rukku/impact_of_non_iid_data_in_federated_learning | c818db03699c82e42217d56f8ddd4cc2081c8bb1 | [
"MIT"
] | null | null | null | import functools
import gc
from abc import ABC
from sources.datasets.client_dataset_definitions.client_dataset_loaders.client_dataset_loader import ClientDatasetLoader, DatasetComponents
from sources.datasets.client_dataset_definitions.client_dataset_processors.client_dataset_processor import ClientDatasetProcessor
fr... | 38.675862 | 139 | 0.652461 | 629 | 5,608 | 5.475358 | 0.17806 | 0.053426 | 0.041521 | 0.069686 | 0.625726 | 0.62079 | 0.584204 | 0.565041 | 0.407085 | 0.379791 | 0 | 0.001494 | 0.283702 | 5,608 | 144 | 140 | 38.944444 | 0.855863 | 0.129993 | 0 | 0.45098 | 0 | 0 | 0.000442 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.058824 | 0 | 0.382353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ce7501b9e972d2df63aa7b92834c10ac73f623 | 2,377 | py | Python | src/rmt/kinematics.py | mfrigerio17/robot-model-tools | 97e25d5c4d1386c503d37a70b57400022c5b7ca0 | [
"BSD-3-Clause"
] | 2 | 2020-06-16T09:23:46.000Z | 2021-01-20T09:11:43.000Z | src/rmt/kinematics.py | mfrigerio17/robot-model-tools | 97e25d5c4d1386c503d37a70b57400022c5b7ca0 | [
"BSD-3-Clause"
] | null | null | null | src/rmt/kinematics.py | mfrigerio17/robot-model-tools | 97e25d5c4d1386c503d37a70b57400022c5b7ca0 | [
"BSD-3-Clause"
] | null | null | null | import logging
import numpy
import kgprim.motions as motions
import kgprim.ct.frommotions as frommotions
import kgprim.ct.repr.mxrepr as mxrepr
import motiondsl.motiondsl as motdsl
logger = logging.getLogger(__name__)
class RobotKinematics:
'''The composition of the constant poses and the joint poses of a robot.... | 34.955882 | 119 | 0.738746 | 264 | 2,377 | 6.613636 | 0.439394 | 0.034364 | 0.016037 | 0.018328 | 0.033219 | 0.033219 | 0 | 0 | 0 | 0 | 0 | 0.001538 | 0.179218 | 2,377 | 67 | 120 | 35.477612 | 0.893388 | 0.147665 | 0 | 0.142857 | 0 | 0 | 0.075226 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.142857 | 0 | 0.309524 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53d0271d7e3d9c0d0f41f088e5b38f2630dec774 | 5,318 | py | Python | pcdet/utils/box_coder_utils.py | Nuri-benbarka/PCDet | 8da66ead3bb1120db2fa919187948c8c134e85ae | [
"Apache-2.0"
] | 7 | 2020-11-28T03:38:51.000Z | 2021-12-31T07:44:19.000Z | pcdet/utils/box_coder_utils.py | Nuri-benbarka/PCDet | 8da66ead3bb1120db2fa919187948c8c134e85ae | [
"Apache-2.0"
] | null | null | null | pcdet/utils/box_coder_utils.py | Nuri-benbarka/PCDet | 8da66ead3bb1120db2fa919187948c8c134e85ae | [
"Apache-2.0"
] | 1 | 2021-04-01T15:54:21.000Z | 2021-04-01T15:54:21.000Z | import numpy as np
import torch
from . import common_utils
class ResidualCoder(object):
def __init__(self, code_size=7):
super().__init__()
self.code_size = code_size
@staticmethod
def encode_np(boxes, anchors):
"""
:param boxes: (N, 7 + ?) x, y, z, w, l, h, r, custom valu... | 35.691275 | 118 | 0.507334 | 808 | 5,318 | 3.196782 | 0.158416 | 0.04336 | 0.045296 | 0.009292 | 0.58343 | 0.538908 | 0.538908 | 0.510647 | 0.469609 | 0.443283 | 0 | 0.018792 | 0.349568 | 5,318 | 148 | 119 | 35.932432 | 0.727956 | 0.172057 | 0 | 0.458333 | 0 | 0 | 0.001907 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0.010417 | 0.03125 | 0 | 0.15625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53d12a0522be9c1f94c8076c489fd23a012f880f | 15,175 | py | Python | utils/utils.py | jainajinkya/deep_bingham | 2ea85b3ea2af579eab36567091b88a1bbf4a627b | [
"MIT"
] | null | null | null | utils/utils.py | jainajinkya/deep_bingham | 2ea85b3ea2af579eab36567091b88a1bbf4a627b | [
"MIT"
] | null | null | null | utils/utils.py | jainajinkya/deep_bingham | 2ea85b3ea2af579eab36567091b88a1bbf4a627b | [
"MIT"
] | null | null | null | """ Utilities for learning pipeline."""
from __future__ import print_function
import copy
import dill
import hashlib
import itertools
import third_party.deep_bingham.bingham_distribution as ms
import math
import numpy as np
import os
import scipy
import scipy.integrate as integrate
import scipy.special
import sys
impor... | 34.805046 | 83 | 0.623394 | 2,148 | 15,175 | 4.244413 | 0.161546 | 0.029067 | 0.01053 | 0.018427 | 0.561259 | 0.51563 | 0.490183 | 0.480641 | 0.451903 | 0.434244 | 0 | 0.019759 | 0.266293 | 15,175 | 435 | 84 | 34.885057 | 0.799084 | 0.276705 | 0 | 0.370968 | 0 | 0 | 0.049261 | 0.005651 | 0 | 0 | 0 | 0.002299 | 0.016129 | 1 | 0.08871 | false | 0 | 0.064516 | 0.008065 | 0.233871 | 0.016129 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53d21a61b1f0af656cef94761b86e69e5114d1b2 | 8,108 | py | Python | cli_ui.py | obatsis/Distributed-NTUA | 0bf39163b64aaefb2576be01337e0ec6e026ce6d | [
"MIT"
] | null | null | null | cli_ui.py | obatsis/Distributed-NTUA | 0bf39163b64aaefb2576be01337e0ec6e026ce6d | [
"MIT"
] | null | null | null | cli_ui.py | obatsis/Distributed-NTUA | 0bf39163b64aaefb2576be01337e0ec6e026ce6d | [
"MIT"
] | null | null | null | import requests
import os
from PyInquirer import style_from_dict, Token, prompt
import sys
import utils.config as config
import utils.ends as ends
from utils.colorfy import *
from auto.testing import test_trans
import time
import json
style = style_from_dict({
Token.QuestionMark: '#E91E63 bold',
Token.Selected: '#673... | 34.21097 | 170 | 0.604465 | 1,073 | 8,108 | 4.492078 | 0.201305 | 0.026556 | 0.048548 | 0.024896 | 0.473859 | 0.442116 | 0.426556 | 0.408714 | 0.385685 | 0.370954 | 0 | 0.012168 | 0.209423 | 8,108 | 236 | 171 | 34.355932 | 0.739782 | 0.013937 | 0 | 0.429907 | 0 | 0.009346 | 0.365912 | 0.017019 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004673 | false | 0 | 0.046729 | 0 | 0.051402 | 0.242991 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53d70d3013eebf509bd463bbe169adf9205bf22b | 4,367 | py | Python | api_youtube.py | OnoArnaldo/PythonApiYoutube | 8507eac234cd3d05a223db3beebd10412505bcf8 | [
"MIT"
] | 2 | 2019-11-15T16:46:36.000Z | 2020-11-30T07:34:26.000Z | api_youtube.py | OnoArnaldo/PythonApiYoutube | 8507eac234cd3d05a223db3beebd10412505bcf8 | [
"MIT"
] | null | null | null | api_youtube.py | OnoArnaldo/PythonApiYoutube | 8507eac234cd3d05a223db3beebd10412505bcf8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import sys
import json
import urllib2
import codecs
BASE_DIR = os.path.dirname(__file__)
BASE_URL = 'https://www.googleapis.com/youtube/v3/'
API_CHANNELS = 'channels'
API_PLAYLIST = 'playlistItems'
API_KEY = 'YOUR KEY'
CHANNELS = [
'videos... | 24.672316 | 90 | 0.587589 | 520 | 4,367 | 4.773077 | 0.242308 | 0.032232 | 0.024174 | 0.016922 | 0.342466 | 0.293715 | 0.27357 | 0.230862 | 0.197824 | 0.197824 | 0 | 0.004473 | 0.283261 | 4,367 | 176 | 91 | 24.8125 | 0.788498 | 0.004809 | 0 | 0.343511 | 0 | 0 | 0.097376 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145038 | false | 0 | 0.061069 | 0 | 0.351145 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53d750a045a189f59e633e7a1ce562b90e7d821b | 2,744 | py | Python | python_and_ebpf/train.py | be4r/ssh-miner-detection | 47003db1d9f72ae44d5a27e92d0109d5111bec35 | [
"MIT"
] | null | null | null | python_and_ebpf/train.py | be4r/ssh-miner-detection | 47003db1d9f72ae44d5a27e92d0109d5111bec35 | [
"MIT"
] | null | null | null | python_and_ebpf/train.py | be4r/ssh-miner-detection | 47003db1d9f72ae44d5a27e92d0109d5111bec35 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from sklearn.tree import DecisionTreeClassifier
import pickle
import numpy as np
no = [b'runc:[2:INIT]', b'containerssh-ag', b'apt',b'dpkg']
class model:
def __init__(self):
self.d = DecisionTreeClassifier()
def load(self, filename = 'model.p'):
try:
f = open(filename, 'rb')
self... | 24.283186 | 95 | 0.622085 | 478 | 2,744 | 3.453975 | 0.217573 | 0.018171 | 0.053301 | 0.04361 | 0.513022 | 0.470018 | 0.470018 | 0.470018 | 0.470018 | 0.411872 | 0 | 0.016719 | 0.193513 | 2,744 | 112 | 96 | 24.5 | 0.729327 | 0.041545 | 0 | 0.460674 | 0 | 0 | 0.027429 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134831 | false | 0 | 0.033708 | 0.022472 | 0.258427 | 0.033708 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53d94f243224facafe883070b86bd959182c98e6 | 9,455 | py | Python | repokid/tests/test_roledata.py | tomdev/repokid | e1a4839290bafccfaa304d87bbdeae85b9dc80aa | [
"Apache-2.0"
] | null | null | null | repokid/tests/test_roledata.py | tomdev/repokid | e1a4839290bafccfaa304d87bbdeae85b9dc80aa | [
"Apache-2.0"
] | null | null | null | repokid/tests/test_roledata.py | tomdev/repokid | e1a4839290bafccfaa304d87bbdeae85b9dc80aa | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Netflix, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 51.950549 | 120 | 0.639662 | 1,068 | 9,455 | 5.368914 | 0.189139 | 0.046041 | 0.076735 | 0.0361 | 0.425009 | 0.295954 | 0.252006 | 0.154168 | 0.103767 | 0.069585 | 0 | 0.036081 | 0.237864 | 9,455 | 181 | 121 | 52.237569 | 0.759645 | 0.100793 | 0 | 0.12 | 0 | 0 | 0.242156 | 0.069946 | 0 | 0 | 0 | 0 | 0.152 | 1 | 0.072 | false | 0 | 0.04 | 0 | 0.12 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53da2e6911920cb3cc789891eed24c27f4a325c6 | 1,838 | py | Python | DL_Scripts/image_recognition.py | Matnay/KPIT_Deep_Learning | 14f3815fc2829db9bede86c31f23e721f6423f79 | [
"MIT"
] | 1 | 2020-05-01T15:28:12.000Z | 2020-05-01T15:28:12.000Z | DL_Scripts/image_recognition.py | Matnay/KPIT_Deep_Learning | 14f3815fc2829db9bede86c31f23e721f6423f79 | [
"MIT"
] | null | null | null | DL_Scripts/image_recognition.py | Matnay/KPIT_Deep_Learning | 14f3815fc2829db9bede86c31f23e721f6423f79 | [
"MIT"
] | null | null | null | import rospy
from sensor_msgs.msg import Image
from std_msgs.msg import String
from cv_bridge import CvBridge
import cv2
import numpy as np
import tensorflow as tf
import classify_image
class RosTensorFlow():
def __init__(self):
classify_image.maybe_download_and_extract()
self._session = tf.Sessio... | 36.039216 | 94 | 0.661589 | 237 | 1,838 | 4.805907 | 0.383966 | 0.068481 | 0.018437 | 0.024583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009887 | 0.229597 | 1,838 | 50 | 95 | 36.76 | 0.794492 | 0.057127 | 0 | 0 | 0 | 0 | 0.072917 | 0.012153 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.2 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53dd0a97f61bddb70bdbb1861eb823497caf7e52 | 21,202 | py | Python | plugins/grouputils.py | aviskumar/speedo | 758e8ac1fdeeb0b72c3a57742032ca5c79f0b2fa | [
"BSD-3-Clause"
] | null | null | null | plugins/grouputils.py | aviskumar/speedo | 758e8ac1fdeeb0b72c3a57742032ca5c79f0b2fa | [
"BSD-3-Clause"
] | null | null | null | plugins/grouputils.py | aviskumar/speedo | 758e8ac1fdeeb0b72c3a57742032ca5c79f0b2fa | [
"BSD-3-Clause"
] | 3 | 2021-10-12T08:17:01.000Z | 2021-12-21T01:17:54.000Z | # Copyright (C) 2020-2021 by TeamSpeedo@Github, < https://github.com/TeamSpeedo >.
#
# This file is part of < https://github.com/TeamSpeedo/FridayUserBot > project,
# and is released under the "GNU v3.0 License Agreement".
# Please see < https://github.com/TeamSpeedo/blob/master/LICENSE >
#
# All rights reserved.
imp... | 33.076443 | 146 | 0.621215 | 2,834 | 21,202 | 4.434368 | 0.107622 | 0.047983 | 0.079971 | 0.0635 | 0.657436 | 0.608101 | 0.580886 | 0.527731 | 0.482534 | 0.44036 | 0 | 0.002512 | 0.248844 | 21,202 | 640 | 147 | 33.128125 | 0.78645 | 0.01415 | 0 | 0.438861 | 0 | 0.0134 | 0.183641 | 0.030392 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.001675 | 0.01675 | 0 | 0.088777 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53dd16873458e07dbdbf665e77a30bc20865dfcb | 16,809 | py | Python | carberretta/bot/cogs/feeds.py | Nereg/Carberretta | 01e25bc8ece4c310ab541304e8809dfdd3eec3b8 | [
"BSD-3-Clause"
] | null | null | null | carberretta/bot/cogs/feeds.py | Nereg/Carberretta | 01e25bc8ece4c310ab541304e8809dfdd3eec3b8 | [
"BSD-3-Clause"
] | null | null | null | carberretta/bot/cogs/feeds.py | Nereg/Carberretta | 01e25bc8ece4c310ab541304e8809dfdd3eec3b8 | [
"BSD-3-Clause"
] | null | null | null | """
FEEDS
Handles YouTube and Twitch feed notifications.
"""
import datetime as dt
import discord
import feedparser
from apscheduler.triggers.cron import CronTrigger
from discord.ext import commands
from carberretta import Config
from carberretta.utils import DEFAULT_EMBED_COLOUR, chron
LIVE_EMBED_COLOUR = 0x9146FF... | 44.586207 | 166 | 0.50467 | 1,725 | 16,809 | 4.77913 | 0.151884 | 0.033843 | 0.029961 | 0.020378 | 0.551553 | 0.498544 | 0.488234 | 0.457666 | 0.413998 | 0.402596 | 0 | 0.011623 | 0.385805 | 16,809 | 376 | 167 | 44.704787 | 0.786904 | 0.029508 | 0 | 0.431579 | 0 | 0.024561 | 0.22958 | 0.036944 | 0 | 0 | 0.000982 | 0 | 0 | 1 | 0.007018 | false | 0.003509 | 0.024561 | 0 | 0.108772 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53dd795653b27c0823e1d06e1e8c37e9cd9ead3e | 5,676 | py | Python | gdb/proxy.py | abaire/gdb_sniffer | f330193c65a39ce6abb01f25737ca967a0af9629 | [
"Unlicense"
] | 1 | 2021-12-22T04:04:22.000Z | 2021-12-22T04:04:22.000Z | gdb/proxy.py | abaire/gdb_sniffer | f330193c65a39ce6abb01f25737ca967a0af9629 | [
"Unlicense"
] | null | null | null | gdb/proxy.py | abaire/gdb_sniffer | f330193c65a39ce6abb01f25737ca967a0af9629 | [
"Unlicense"
] | null | null | null | """Provides a GDB logging proxy.
See https://sourceware.org/gdb/onlinedocs/gdb/Remote-Protocol.html
See https://www.embecosm.com/appnotes/ean4/embecosm-howto-rsp-server-ean4-issue-2.html
"""
from __future__ import annotations
import logging
import socket
from typing import Optional
from typing import Tuple
from .pa... | 35.698113 | 112 | 0.617512 | 678 | 5,676 | 4.868732 | 0.234513 | 0.072705 | 0.038776 | 0.036353 | 0.277795 | 0.197213 | 0.144502 | 0.123902 | 0.111784 | 0.111784 | 0 | 0.010654 | 0.288936 | 5,676 | 158 | 113 | 35.924051 | 0.807235 | 0.090028 | 0 | 0.168142 | 0 | 0 | 0.101767 | 0.031462 | 0 | 0 | 0.002331 | 0 | 0 | 1 | 0.070796 | false | 0 | 0.061947 | 0 | 0.168142 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ddde78f62a83aa118f0171be55b4c481a15868 | 1,373 | py | Python | pylayers/em/openems/test/Rect_Waveguide.py | usmanwardag/pylayers | 2e8a9bdc993b2aacc92610a9c7edf875c6c7b24a | [
"MIT"
] | 143 | 2015-01-09T07:50:20.000Z | 2022-03-02T11:26:53.000Z | pylayers/em/openems/test/Rect_Waveguide.py | usmanwardag/pylayers | 2e8a9bdc993b2aacc92610a9c7edf875c6c7b24a | [
"MIT"
] | 148 | 2015-01-13T04:19:34.000Z | 2022-03-11T23:48:25.000Z | pylayers/em/openems/test/Rect_Waveguide.py | usmanwardag/pylayers | 2e8a9bdc993b2aacc92610a9c7edf875c6c7b24a | [
"MIT"
] | 95 | 2015-05-01T13:22:42.000Z | 2022-03-15T11:22:28.000Z | from openems.openems import *
# A simple simulation
#
# FDTD Simulation Setting
#
F = FDTD()
F.add(Exc(typ='Sinus',f0=100000))
F.add(BoundaryCond(['PMC','PMC','PEC','PEC','MUR','MUR']))
#
# CSX (Geometry setting)
#
C = CSX()
# The Box is added as a property
C.add(Excitation('excitation'),p=Box(P1=[-10,-10,0],P2=... | 25.90566 | 87 | 0.632921 | 264 | 1,373 | 3.291667 | 0.340909 | 0.050633 | 0.013809 | 0.041427 | 0.121979 | 0.113924 | 0.090909 | 0.090909 | 0.090909 | 0.090909 | 0 | 0.122353 | 0.071377 | 1,373 | 52 | 88 | 26.403846 | 0.559216 | 0.625637 | 0 | 0 | 0 | 0 | 0.109244 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53debe5489e3f53b73538719925c989ad4ce399d | 381 | py | Python | DataPreprocessing/_segment_Y.py | vd1371/CBSA | f2b3f03c91ccd9ec02c2331f43573d7d6e72fd47 | [
"MIT"
] | null | null | null | DataPreprocessing/_segment_Y.py | vd1371/CBSA | f2b3f03c91ccd9ec02c2331f43573d7d6e72fd47 | [
"MIT"
] | null | null | null | DataPreprocessing/_segment_Y.py | vd1371/CBSA | f2b3f03c91ccd9ec02c2331f43573d7d6e72fd47 | [
"MIT"
] | null | null | null | import numpy as np
def segment_Y(Y, **params):
Y_segments = params.get("Y_segments")
Y_quantile = params.get("Y_quantile")
print("segmenting Y")
Y = Y.values.reshape(-1)
Y_quantile = np.quantile(Y, Y_quantile, axis = 0)
bigger_mask = (Y > Y_quantile).copy()
smaller_mask = (Y <= Y_quantile).copy()
Y[bigger_... | 19.05 | 50 | 0.677165 | 64 | 381 | 3.828125 | 0.390625 | 0.057143 | 0.122449 | 0.114286 | 0.146939 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012579 | 0.165354 | 381 | 20 | 51 | 19.05 | 0.757862 | 0 | 0 | 0 | 0 | 0 | 0.08377 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.230769 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53df3216d619040fc2551d1e35eda4fe2e177604 | 3,868 | py | Python | WifiEnigma/BattleAI/question.py | Puzzlebox-IMT/Puzzlebox | 6b80e22a4aee3228140692bd6352de18b2f6a96d | [
"MIT"
] | null | null | null | WifiEnigma/BattleAI/question.py | Puzzlebox-IMT/Puzzlebox | 6b80e22a4aee3228140692bd6352de18b2f6a96d | [
"MIT"
] | null | null | null | WifiEnigma/BattleAI/question.py | Puzzlebox-IMT/Puzzlebox | 6b80e22a4aee3228140692bd6352de18b2f6a96d | [
"MIT"
] | null | null | null | import mysql.connector
import random
from voice import synthetize_voice, delete_wav
def AllQuestionAI(id_theme):
i = 0
#CONNEXION A LA BDD
conn = mysql.connector.connect(host="localhost",
user="phpmyadmin", password="Vince@Mysql1997",
... | 31.447154 | 140 | 0.520941 | 388 | 3,868 | 5.085052 | 0.311856 | 0.064876 | 0.060821 | 0.009123 | 0.386214 | 0.386214 | 0.386214 | 0.386214 | 0.386214 | 0.386214 | 0 | 0.020265 | 0.298345 | 3,868 | 122 | 141 | 31.704918 | 0.706706 | 0.099793 | 0 | 0.345679 | 0 | 0 | 0.305187 | 0.107205 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049383 | false | 0.024691 | 0.037037 | 0 | 0.098765 | 0.246914 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e02e91fc0737f80d21208f1511392c2bcd37d1 | 875 | py | Python | toy-amr/flux_functions.py | IanHawke/toy-amr | 1f616791993ccd83cc6034616c08e09fa4ba310d | [
"MIT"
] | 5 | 2019-05-27T18:13:45.000Z | 2021-01-06T09:42:28.000Z | toy-amr/flux_functions.py | IanHawke/toy-amr | 1f616791993ccd83cc6034616c08e09fa4ba310d | [
"MIT"
] | 1 | 2019-10-21T13:34:48.000Z | 2019-12-11T22:11:17.000Z | toy-amr/flux_functions.py | IanHawke/toy-amr | 1f616791993ccd83cc6034616c08e09fa4ba310d | [
"MIT"
] | 2 | 2019-05-08T18:00:36.000Z | 2021-05-27T16:57:57.000Z | import numpy
def lax_friedrichs(cons_minus, cons_plus, simulation, tl):
alpha = tl.grid.dx / tl.dt
flux = numpy.zeros_like(cons_minus)
prim_minus, aux_minus = simulation.model.cons2all(cons_minus, tl.prim)
prim_plus, aux_plus = simulation.model.cons2all(cons_plus , tl.prim)
f_minus = simulation.m... | 39.772727 | 79 | 0.609143 | 123 | 875 | 4.081301 | 0.252033 | 0.143426 | 0.035857 | 0.067729 | 0.424303 | 0.316733 | 0.123506 | 0.123506 | 0.123506 | 0.123506 | 0 | 0.030488 | 0.250286 | 875 | 21 | 80 | 41.666667 | 0.734756 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.0625 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e0390b65014122e4de16c06f08712946e2a007 | 2,084 | py | Python | pi/auth.py | vmagamedov/pi | 6ee98af69b757d96aa4eddc32513309e0fe05d1d | [
"BSD-3-Clause"
] | 7 | 2016-06-24T04:49:48.000Z | 2020-06-29T17:34:12.000Z | pi/auth.py | vmagamedov/pi | 6ee98af69b757d96aa4eddc32513309e0fe05d1d | [
"BSD-3-Clause"
] | 11 | 2016-06-19T13:16:59.000Z | 2019-11-02T13:14:19.000Z | pi/auth.py | vmagamedov/pi | 6ee98af69b757d96aa4eddc32513309e0fe05d1d | [
"BSD-3-Clause"
] | null | null | null | import re
import json
import base64
import codecs
import os.path
import asyncio
import subprocess
_PREFIX = 'docker-credential-'
def read_config():
path = os.path.expanduser('~/.docker/config.json')
if not os.path.exists(path):
return {}
with codecs.open(path, encoding='utf-8') as f:
jso... | 25.108434 | 72 | 0.644914 | 258 | 2,084 | 5.027132 | 0.29845 | 0.053971 | 0.032382 | 0.029298 | 0.075559 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008228 | 0.241843 | 2,084 | 82 | 73 | 25.414634 | 0.812658 | 0 | 0 | 0.140625 | 0 | 0 | 0.09261 | 0.010077 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0.046875 | 0.109375 | 0 | 0.359375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e10c53f31c7e396a4573a421ae3212e9a11856 | 1,543 | py | Python | DPSparkImplementations/paf_kernels.py | TEAlab/DPSpark | 4d53ee13b03e2e12119c28fe2b2241ad20231eac | [
"MIT"
] | null | null | null | DPSparkImplementations/paf_kernels.py | TEAlab/DPSpark | 4d53ee13b03e2e12119c28fe2b2241ad20231eac | [
"MIT"
] | null | null | null | DPSparkImplementations/paf_kernels.py | TEAlab/DPSpark | 4d53ee13b03e2e12119c28fe2b2241ad20231eac | [
"MIT"
] | 1 | 2020-12-30T22:12:55.000Z | 2020-12-30T22:12:55.000Z | __author__ = "Zafar Ahmad, Mohammad Mahdi Javanmard"
__copyright__ = "Copyright (c) 2019 Tealab@SBU"
__license__ = "MIT"
__version__ = "1.0.0"
__maintainer__ = "Zafar Ahmad"
__email__ = "zafahmad@cs.stonybrook.edu"
__status__ = "Development"
import numpy as np
import numba as nb
'''
Iterative kernels
'''
def up... | 35.068182 | 104 | 0.610499 | 266 | 1,543 | 3.180451 | 0.293233 | 0.120567 | 0.024823 | 0.085106 | 0.304965 | 0.268322 | 0.239953 | 0.239953 | 0.239953 | 0.068558 | 0 | 0.030586 | 0.2372 | 1,543 | 43 | 105 | 35.883721 | 0.68819 | 0.053791 | 0 | 0.060606 | 0 | 0 | 0.085374 | 0.018195 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151515 | false | 0 | 0.060606 | 0.060606 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e339cc8fb766eb00e75883c4d6064e436e942f | 1,343 | py | Python | terrakg/rates.py | terrapain/terrakg | 90c52ca3b227d2daabd604255e793ac5f536c246 | [
"Apache-2.0"
] | null | null | null | terrakg/rates.py | terrapain/terrakg | 90c52ca3b227d2daabd604255e793ac5f536c246 | [
"Apache-2.0"
] | null | null | null | terrakg/rates.py | terrapain/terrakg | 90c52ca3b227d2daabd604255e793ac5f536c246 | [
"Apache-2.0"
] | null | null | null | from terra_sdk.exceptions import LCDResponseError
from terrakg import logger
# Logging
from terrakg.client import ClientContainer
logger = logger.get_logger(__name__)
class Rates:
"""
Access the most recent rates.
"""
def __init__(self, client: ClientContainer):
self.client = client
de... | 30.522727 | 117 | 0.568876 | 141 | 1,343 | 5.212766 | 0.524823 | 0.040816 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007856 | 0.33656 | 1,343 | 43 | 118 | 31.232558 | 0.817059 | 0.125838 | 0 | 0 | 0 | 0 | 0.12866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.111111 | 0 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e44f41ef2d0962b6580e25176980ba9b2fe713 | 2,868 | py | Python | src/tracking_module.py | HonzaKlicpera/Effective-footage-processing-Blender-add-on | f3faae3fc56a3ef8f2eabba9af8be718e57f4d35 | [
"MIT"
] | 1 | 2020-06-09T11:23:44.000Z | 2020-06-09T11:23:44.000Z | src/tracking_module.py | HonzaKlicpera/Effective-footage-processing-Blender | f3faae3fc56a3ef8f2eabba9af8be718e57f4d35 | [
"MIT"
] | null | null | null | src/tracking_module.py | HonzaKlicpera/Effective-footage-processing-Blender | f3faae3fc56a3ef8f2eabba9af8be718e57f4d35 | [
"MIT"
] | null | null | null | import bpy
import os, glob
from pathlib import Path
from enum import Enum
from abc import ABC, abstractmethod
import csv
from . import keying_module
def export_tracking_data(self, context):
clip = context.space_data.clip
clip_name = os.path.splitext(clip.name)[0]
tracker_name = context.scene.tracking_loca... | 30.189474 | 87 | 0.644003 | 335 | 2,868 | 5.364179 | 0.340299 | 0.043406 | 0.0601 | 0.024485 | 0.144686 | 0.031163 | 0 | 0 | 0 | 0 | 0 | 0.004955 | 0.225941 | 2,868 | 95 | 88 | 30.189474 | 0.804505 | 0.032427 | 0 | 0 | 0 | 0 | 0.142702 | 0.009754 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068493 | false | 0 | 0.09589 | 0 | 0.356164 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e4b90b1159d838a8edfa7ab52a953ffb4eca72 | 437 | py | Python | nodes/2.x/python/View.ViewTemplate.py | andydandy74/ClockworkForDynamo | bd4ac2c13956a02352a458d01096a35b7258d9f2 | [
"MIT"
] | 147 | 2016-02-24T16:37:03.000Z | 2022-02-18T12:10:34.000Z | nodes/2.x/python/View.ViewTemplate.py | johnpierson/ClockworkForDynamo | 953d3f56b75e99561978925756e527357f9978dd | [
"MIT"
] | 269 | 2016-02-25T14:04:14.000Z | 2022-03-26T07:30:53.000Z | nodes/2.x/python/View.ViewTemplate.py | johnpierson/ClockworkForDynamo | 953d3f56b75e99561978925756e527357f9978dd | [
"MIT"
] | 89 | 2016-03-16T18:21:56.000Z | 2022-02-03T14:34:30.000Z | import clr
clr.AddReference('RevitAPI')
from Autodesk.Revit.DB import *
def GetViewTemplate(view):
if not view: return None
elif hasattr(view, "ViewTemplateId"):
if view.ViewTemplateId.IntegerValue == -1: return None
else: return view.Document.GetElement(view.ViewTemplateId)
else: return None
views = UnwrapEle... | 29.133333 | 69 | 0.757437 | 59 | 437 | 5.610169 | 0.542373 | 0.090634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007853 | 0.125858 | 437 | 15 | 70 | 29.133333 | 0.858639 | 0 | 0 | 0 | 0 | 0 | 0.050228 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e73c9f153e27f98b4ee8cc325ad02d4ef90185 | 8,267 | py | Python | infrastructure-provisioning/src/general/scripts/gcp/dataengine-service_prepare.py | bohdana-kuzmenko/incubator-dlab | d052709450e7916860c7dd191708d5524cf44c1e | [
"Apache-2.0"
] | null | null | null | infrastructure-provisioning/src/general/scripts/gcp/dataengine-service_prepare.py | bohdana-kuzmenko/incubator-dlab | d052709450e7916860c7dd191708d5524cf44c1e | [
"Apache-2.0"
] | null | null | null | infrastructure-provisioning/src/general/scripts/gcp/dataengine-service_prepare.py | bohdana-kuzmenko/incubator-dlab | d052709450e7916860c7dd191708d5524cf44c1e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# *****************************************************************************
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The A... | 57.013793 | 178 | 0.670134 | 963 | 8,267 | 5.475597 | 0.265836 | 0.125166 | 0.057652 | 0.036033 | 0.345534 | 0.227574 | 0.159492 | 0.121373 | 0.100891 | 0.100891 | 0 | 0.005332 | 0.160639 | 8,267 | 144 | 179 | 57.409722 | 0.754576 | 0.112254 | 0 | 0.117117 | 0 | 0 | 0.37073 | 0.077207 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.108108 | 0 | 0.108108 | 0.054054 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e7f5b9bbd28821250ea584ab34945cec2c0582 | 931 | py | Python | 02.py | mattias-lundell/aoc2021 | 32bd41446d963c5788d4614106405be65de81bcd | [
"MIT"
] | null | null | null | 02.py | mattias-lundell/aoc2021 | 32bd41446d963c5788d4614106405be65de81bcd | [
"MIT"
] | null | null | null | 02.py | mattias-lundell/aoc2021 | 32bd41446d963c5788d4614106405be65de81bcd | [
"MIT"
] | null | null | null |
test = """forward 5
down 5
forward 8
up 3
down 8
forward 2
"""
def part1(lines):
h = 0
d = 0
for line in lines:
direction, delta = line.split()
delta = int(delta)
if direction == 'forward':
h += delta
elif direction == 'down':
d += delta
elif... | 19.395833 | 39 | 0.493018 | 112 | 931 | 4.026786 | 0.294643 | 0.115299 | 0.119734 | 0.035477 | 0.381375 | 0.343681 | 0.226164 | 0.226164 | 0.226164 | 0.226164 | 0 | 0.035836 | 0.370569 | 931 | 47 | 40 | 19.808511 | 0.733788 | 0 | 0 | 0.487805 | 0 | 0 | 0.106452 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0 | 0 | 0.04878 | 0.073171 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53e9f02f64051ff304c3ebef251b469302530c2e | 626 | py | Python | e/mail-relay/web/apps/mail/migrations/0109_auto_20171130_1047.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | e/mail-relay/web/apps/mail/migrations/0109_auto_20171130_1047.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | 18 | 2020-06-05T18:17:40.000Z | 2022-03-11T23:25:21.000Z | e/mail-relay/web/apps/mail/migrations/0109_auto_20171130_1047.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('mail', '0108_auto_20171130_1004'),
]
operations = [
migrations.AlterModelOptions(
name='relaysenderwhitelist',
... | 27.217391 | 113 | 0.635783 | 59 | 626 | 6.576271 | 0.728814 | 0.139175 | 0.159794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149688 | 0.231629 | 626 | 22 | 114 | 28.454545 | 0.656965 | 0.033546 | 0 | 0.25 | 0 | 0.0625 | 0.343284 | 0.237148 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.3125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ea00fc5aec5aef16f52f772300f59c029df625 | 11,168 | py | Python | venv/lib/python3.6/site-packages/ansible_test/_data/sanity/code-smell/runtime-metadata.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 1 | 2020-01-22T13:11:23.000Z | 2020-01-22T13:11:23.000Z | venv/lib/python3.6/site-packages/ansible_test/_data/sanity/code-smell/runtime-metadata.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | 12 | 2020-02-21T07:24:52.000Z | 2020-04-14T09:54:32.000Z | venv/lib/python3.6/site-packages/ansible_test/_data/sanity/code-smell/runtime-metadata.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Schema validation of ansible-core's ansible_builtin_runtime.yml and collection's meta/runtime.yml"""
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import datetime
import os
import re
import sys
from distutils.version import StrictVersion, LooseVersion
... | 39.885714 | 112 | 0.632969 | 1,334 | 11,168 | 5.068966 | 0.215142 | 0.04614 | 0.064626 | 0.062112 | 0.357734 | 0.292073 | 0.252292 | 0.128364 | 0.100266 | 0.065661 | 0 | 0.00392 | 0.268983 | 11,168 | 279 | 113 | 40.028674 | 0.824351 | 0.180068 | 0 | 0.281407 | 0 | 0 | 0.127463 | 0.003082 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035176 | false | 0 | 0.100503 | 0 | 0.175879 | 0.025126 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53eb2f5275fa111e5a11e8a6b19fe5db87a5dc8d | 2,160 | py | Python | catkin_ws/src/o2ac_flexbe/o2ac_flexbe_states/src/o2ac_flexbe_states/align_bearing_holes.py | mitdo/o2ac-ur | 74c82a54a693bf6a3fc995ff63e7c91ac1fda6fd | [
"MIT"
] | 32 | 2021-09-02T12:29:47.000Z | 2022-03-30T21:44:10.000Z | catkin_ws/src/o2ac_flexbe/o2ac_flexbe_states/src/o2ac_flexbe_states/align_bearing_holes.py | kroglice/o2ac-ur | f684f21fd280a22ec061dc5d503801f6fefb2422 | [
"MIT"
] | 4 | 2021-09-22T00:51:14.000Z | 2022-01-30T11:54:19.000Z | catkin_ws/src/o2ac_flexbe/o2ac_flexbe_states/src/o2ac_flexbe_states/align_bearing_holes.py | kroglice/o2ac-ur | f684f21fd280a22ec061dc5d503801f6fefb2422 | [
"MIT"
] | 7 | 2021-11-02T12:26:09.000Z | 2022-02-01T01:45:22.000Z | #!/usr/bin/env python
from flexbe_core import EventState, Logger
from flexbe_core.proxy import ProxyActionClient
# example import of required action
from o2ac_msgs.msg import AlignBearingHolesAction, AlignBearingHolesGoal
class AlignBearingHolesActionState(EventState):
'''
Actionlib for aligning the bearing ... | 30.422535 | 72 | 0.600463 | 215 | 2,160 | 5.813953 | 0.390698 | 0.0504 | 0.0288 | 0.0304 | 0.0752 | 0.0448 | 0 | 0 | 0 | 0 | 0 | 0.001363 | 0.320833 | 2,160 | 70 | 73 | 30.857143 | 0.850716 | 0.144907 | 0 | 0.155556 | 0 | 0 | 0.119493 | 0.01707 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0.066667 | 0 | 0.244444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53eb9134fe73eaf59759bdec6bb46f044d4317f1 | 6,710 | py | Python | find_unicode_control.py | sebastian-philipp/find-unicode-control | 170730aff64d17a4d9c57b0284d862c932e1565c | [
"BSD-3-Clause"
] | null | null | null | find_unicode_control.py | sebastian-philipp/find-unicode-control | 170730aff64d17a4d9c57b0284d862c932e1565c | [
"BSD-3-Clause"
] | null | null | null | find_unicode_control.py | sebastian-philipp/find-unicode-control | 170730aff64d17a4d9c57b0284d862c932e1565c | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
"""Find unicode control characters in source files
By default the script takes one or more files or directories and looks for
unicode control characters in all text files. To narrow down the files, provide
a config file with the -c command line, defining a scan_exclude list, which
should be a l... | 35.882353 | 109 | 0.634426 | 895 | 6,710 | 4.669274 | 0.275978 | 0.039483 | 0.021536 | 0.017947 | 0.181622 | 0.13161 | 0.079445 | 0.058387 | 0.058387 | 0.058387 | 0 | 0.009782 | 0.253502 | 6,710 | 186 | 110 | 36.075269 | 0.824516 | 0.20313 | 0 | 0.204545 | 0 | 0 | 0.143904 | 0 | 0 | 0 | 0.010145 | 0.005376 | 0 | 1 | 0.083333 | false | 0 | 0.037879 | 0 | 0.212121 | 0.136364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ed119c9b07bf3b0dd5b8ddf0cc3d573400eed1 | 34,187 | py | Python | vsphere/tests/test_vsphere.py | fujigon/integrations-core | 256b1c138fd1bf1c71db63698737e813cfda00f8 | [
"BSD-3-Clause"
] | null | null | null | vsphere/tests/test_vsphere.py | fujigon/integrations-core | 256b1c138fd1bf1c71db63698737e813cfda00f8 | [
"BSD-3-Clause"
] | null | null | null | vsphere/tests/test_vsphere.py | fujigon/integrations-core | 256b1c138fd1bf1c71db63698737e813cfda00f8 | [
"BSD-3-Clause"
] | 1 | 2019-12-23T13:35:17.000Z | 2019-12-23T13:35:17.000Z | # (C) Datadog, Inc. 2010-2017
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
from __future__ import unicode_literals
import time
from datetime import datetime
import mock
import pytest
from mock import MagicMock
from pyVmomi import vim
from datadog_checks.vsphere import VSphereCheck
from... | 42.363073 | 120 | 0.678796 | 3,889 | 34,187 | 5.673695 | 0.10414 | 0.026649 | 0.02266 | 0.019941 | 0.63671 | 0.552595 | 0.495037 | 0.433039 | 0.406028 | 0.379424 | 0 | 0.007219 | 0.218007 | 34,187 | 806 | 121 | 42.415633 | 0.818134 | 0.080089 | 0 | 0.440984 | 0 | 0 | 0.194327 | 0.098924 | 0 | 0 | 0 | 0 | 0.186885 | 1 | 0.045902 | false | 0 | 0.021311 | 0 | 0.070492 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53f15f1ad7b41be043cf58489197157314abeded | 2,110 | py | Python | clip/clip.py | keshav11/clip | f426dee5c3a6885ddeba20d450d85fc71951c5ca | [
"MIT"
] | 1 | 2018-03-27T05:13:43.000Z | 2018-03-27T05:13:43.000Z | clip/clip.py | keshav11/clip | f426dee5c3a6885ddeba20d450d85fc71951c5ca | [
"MIT"
] | 1 | 2018-03-27T14:57:05.000Z | 2018-03-27T14:57:05.000Z | clip/clip.py | keshav11/clip | f426dee5c3a6885ddeba20d450d85fc71951c5ca | [
"MIT"
] | null | null | null | import os
import argparse
from pathlib import Path
CLIP_FILE = os.path.join(Path.home(), '.clip')
TEMP_FILE = '.TEMP_FILE'
def add_text(key, text):
if os.path.exists(CLIP_FILE):
open_mode = 'a'
else:
open_mode = 'w+'
with open(CLIP_FILE, open_mode) as clip_file:
clip_file.write(ke... | 26.708861 | 95 | 0.555924 | 290 | 2,110 | 3.862069 | 0.268966 | 0.107143 | 0.042857 | 0.057143 | 0.242857 | 0.201786 | 0.201786 | 0.201786 | 0.201786 | 0.201786 | 0 | 0.006734 | 0.296209 | 2,110 | 78 | 96 | 27.051282 | 0.747475 | 0 | 0 | 0.174603 | 0 | 0 | 0.087204 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079365 | false | 0 | 0.047619 | 0 | 0.126984 | 0.079365 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53f16f379316b618805c2343722f2905bbfec891 | 2,383 | py | Python | tests/unit/test_nsga2.py | learsi1911/GAMA_pygmo_v4 | 459807db352dd1c9f9c1e0e322f8c1e9b5abbca0 | [
"Apache-2.0"
] | 49 | 2018-10-22T06:05:29.000Z | 2021-09-07T20:12:36.000Z | tests/unit/test_nsga2.py | learsi1911/GAMA_pygmo_v4 | 459807db352dd1c9f9c1e0e322f8c1e9b5abbca0 | [
"Apache-2.0"
] | 102 | 2018-10-02T12:00:47.000Z | 2021-02-24T14:35:30.000Z | tests/unit/test_nsga2.py | learsi1911/GAMA_pygmo_v4 | 459807db352dd1c9f9c1e0e322f8c1e9b5abbca0 | [
"Apache-2.0"
] | 11 | 2021-06-04T11:56:19.000Z | 2022-03-21T20:21:15.000Z | from typing import List, Tuple
from gama.genetic_programming.nsga2 import (
NSGAMeta,
fast_non_dominated_sort,
crowding_distance_assignment,
)
def _tuples_to_NSGAMeta(tuples: List[Tuple]) -> List[NSGAMeta]:
""" Converts a list of tuples to NSGAMeta objects. """
# Can't declare it directly in a loo... | 33.56338 | 84 | 0.698699 | 352 | 2,383 | 4.471591 | 0.230114 | 0.074333 | 0.071156 | 0.069886 | 0.461881 | 0.365311 | 0.348793 | 0.348793 | 0.280178 | 0.175985 | 0 | 0.027124 | 0.180025 | 2,383 | 70 | 85 | 34.042857 | 0.778403 | 0.090222 | 0 | 0.191489 | 0 | 0 | 0.006951 | 0 | 0 | 0 | 0 | 0 | 0.361702 | 1 | 0.148936 | false | 0 | 0.042553 | 0.021277 | 0.234043 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53f1e3a9ae5af85a04a5bf0c18896233f3416fe3 | 2,738 | py | Python | stac_ingest/utils/tds.py | crim-ca/stac-ingest | e4cc2a66fee4b86ec238f139135d78215ec91ea4 | [
"Apache-2.0"
] | null | null | null | stac_ingest/utils/tds.py | crim-ca/stac-ingest | e4cc2a66fee4b86ec238f139135d78215ec91ea4 | [
"Apache-2.0"
] | null | null | null | stac_ingest/utils/tds.py | crim-ca/stac-ingest | e4cc2a66fee4b86ec238f139135d78215ec91ea4 | [
"Apache-2.0"
] | null | null | null | # File taken from https://github.com/Ouranosinc/pavics-vdb/blob/master/catalog/tds.py
"""Utility function to parse metadata from a THREDDS Data Server catalog."""
def walk(cat, depth=1):
"""Return a generator walking a THREDDS data catalog for datasets.
Parameters
----------
cat : TDSCatalog
T... | 29.44086 | 111 | 0.648283 | 355 | 2,738 | 4.870423 | 0.388732 | 0.036437 | 0.027762 | 0.048583 | 0.085599 | 0.042799 | 0 | 0 | 0 | 0 | 0 | 0.008095 | 0.233017 | 2,738 | 93 | 112 | 29.44086 | 0.815238 | 0.367787 | 0 | 0.095238 | 0 | 0 | 0.147004 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.047619 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53f27d7f999c3ddce62ec7074bca13f18a96eb7b | 4,484 | py | Python | tact/util.py | brunel-physics/mva_scikit | b0182da89efa466461aaf2cff4387c821df1758b | [
"BSD-3-Clause"
] | null | null | null | tact/util.py | brunel-physics/mva_scikit | b0182da89efa466461aaf2cff4387c821df1758b | [
"BSD-3-Clause"
] | null | null | null | tact/util.py | brunel-physics/mva_scikit | b0182da89efa466461aaf2cff4387c821df1758b | [
"BSD-3-Clause"
] | 2 | 2020-05-18T19:52:32.000Z | 2022-01-24T10:07:35.000Z | # -*- coding: utf-8 -*-
"""
Module containing miscellaneous utility functions.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import collections
import itertools
import numpy as np
class BinaryTree(object):
def __init__(self):
self.left... | 26.222222 | 79 | 0.61686 | 561 | 4,484 | 4.885918 | 0.404635 | 0.032835 | 0.017512 | 0.010215 | 0.083181 | 0.04305 | 0.04305 | 0.04305 | 0.04305 | 0 | 0 | 0.009157 | 0.293711 | 4,484 | 170 | 80 | 26.376471 | 0.856331 | 0.583408 | 0 | 0.104167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.083333 | 0 | 0.3125 | 0.020833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53f4891624f4d3bc5f0cf1971fce25d204c1cf18 | 1,325 | py | Python | orbit/actions/conditional_action_test.py | mcasanova1445/models | 37be0fdb4abccca633bb3199a4e6f3f71cd174d9 | [
"Apache-2.0"
] | 1 | 2020-09-14T10:46:07.000Z | 2020-09-14T10:46:07.000Z | orbit/actions/conditional_action_test.py | mdsaifhaider/models | 7214e17eb425963ec3d0295be215d5d26deaeb32 | [
"Apache-2.0"
] | 8 | 2020-05-19T00:52:30.000Z | 2020-06-04T23:57:20.000Z | orbit/actions/conditional_action_test.py | mdsaifhaider/models | 7214e17eb425963ec3d0295be215d5d26deaeb32 | [
"Apache-2.0"
] | 2 | 2021-10-07T04:47:04.000Z | 2021-12-18T04:18:19.000Z | # Copyright 2022 The Orbit 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 applicable l... | 33.125 | 79 | 0.739623 | 182 | 1,325 | 5.296703 | 0.593407 | 0.062241 | 0.026971 | 0.033195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007266 | 0.169057 | 1,325 | 39 | 80 | 33.974359 | 0.868302 | 0.538868 | 0 | 0 | 0 | 0 | 0.064298 | 0 | 0 | 0 | 0 | 0 | 0.357143 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53f4cffa9d98d6fc50ab66c96fe1f4f487091562 | 880 | py | Python | Customizations/Tagging/show_tags.task.py | phnomcobra/valarie-content | b1f6242605badd2b0b2e53c4320f5d963b5e0b21 | [
"MIT"
] | null | null | null | Customizations/Tagging/show_tags.task.py | phnomcobra/valarie-content | b1f6242605badd2b0b2e53c4320f5d963b5e0b21 | [
"MIT"
] | null | null | null | Customizations/Tagging/show_tags.task.py | phnomcobra/valarie-content | b1f6242605badd2b0b2e53c4320f5d963b5e0b21 | [
"MIT"
] | null | null | null | #!/usr/bin/python
################################################################################
# DOCUMENTS
#
# Justin Dierking
# justin.l.dierking.civ@mail.mil
# 614 692 2050
#
# 04/22/2018 Original Construction
################################################################################
import traceback
impor... | 25.882353 | 80 | 0.465909 | 80 | 880 | 5.0125 | 0.65 | 0.099751 | 0.119701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029641 | 0.271591 | 880 | 34 | 81 | 25.882353 | 0.595944 | 0.145455 | 0 | 0 | 0 | 0 | 0.006849 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fa17d1fb343f99d7928294d83a0d41844594ce | 748 | py | Python | backup/models.py | helwete/simple-backup | c7dd1a08d398f5b4005c187e274e192b2e024f30 | [
"MIT"
] | null | null | null | backup/models.py | helwete/simple-backup | c7dd1a08d398f5b4005c187e274e192b2e024f30 | [
"MIT"
] | null | null | null | backup/models.py | helwete/simple-backup | c7dd1a08d398f5b4005c187e274e192b2e024f30 | [
"MIT"
] | null | null | null | from datetime import date
from django.conf import settings
from django.db import models
# Create your models here.
def user_directory_path(instance, filename):
# file will be uploaded to MEDIA_ROOT/user_<id>/<filename>
today = date.today()
return '{0}/{2}/{1}'.format(instance.user.username, filename, toda... | 35.619048 | 94 | 0.743316 | 108 | 748 | 4.953704 | 0.555556 | 0.059813 | 0.063551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009302 | 0.137701 | 748 | 20 | 95 | 37.4 | 0.820155 | 0.108289 | 0 | 0 | 0 | 0 | 0.03012 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.230769 | 0.076923 | 0.923077 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fa743e6670e6a8830a736afc87f494f4f511b4 | 2,713 | py | Python | Kmeans Cluster/Kmeans_Compare.py | Jojoxiao/Machine-Learning-for-Beginner-by-Python3 | 71b91c9cba5803bd78d4d31be6dabb1d3989e968 | [
"MIT"
] | 397 | 2018-05-28T02:07:32.000Z | 2022-03-30T09:53:37.000Z | Kmeans Cluster/Kmeans_Compare.py | 976634681/Machine-Learning-for-Beginner-by-Python3 | d9effcbb1b390dc608a0f4c0a28f0ad03892047a | [
"MIT"
] | 4 | 2019-01-14T16:41:02.000Z | 2021-03-11T13:23:06.000Z | Kmeans Cluster/Kmeans_Compare.py | 976634681/Machine-Learning-for-Beginner-by-Python3 | d9effcbb1b390dc608a0f4c0a28f0ad03892047a | [
"MIT"
] | 235 | 2018-06-28T05:31:40.000Z | 2022-03-11T03:20:07.000Z | #-*- coding:utf-8 -*-
# &Author AnFany
# 引入方法
import Kmeans_AnFany as K_Af # AnFany
import Kmeans_Sklearn as K_Sk # Sklearn
import matplotlib.pyplot as plt
from pylab import mpl # 作图显示中文
mpl.rcParams['font.sans-serif'] = ['FangSong'] # 设置中文字体新宋体
mpl.rcParams['axes.unicode_minus'] = False
import numpy as... | 25.59434 | 123 | 0.573535 | 419 | 2,713 | 3.658711 | 0.353222 | 0.006523 | 0.028702 | 0.031311 | 0.100457 | 0.069145 | 0.037834 | 0.037834 | 0.037834 | 0.037834 | 0 | 0.036591 | 0.234427 | 2,713 | 105 | 124 | 25.838095 | 0.701493 | 0.093255 | 0 | 0.125 | 0 | 0 | 0.072719 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.09375 | 0 | 0.203125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53faaa8c310593f3046382b5d7e3fa8922d7e1b7 | 5,544 | py | Python | control_panel.py | Stayermax/5dof-bartender-robot | dd04303afd2c252e6f7105e33ba35b01f3915194 | [
"MIT"
] | null | null | null | control_panel.py | Stayermax/5dof-bartender-robot | dd04303afd2c252e6f7105e33ba35b01f3915194 | [
"MIT"
] | null | null | null | control_panel.py | Stayermax/5dof-bartender-robot | dd04303afd2c252e6f7105e33ba35b01f3915194 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Control panel file
"""
import pddl_solver as pddl
import ik
import rospy
from get_object_position import get_object_position
import time
from constants import *
from spawn_models import reset_model_position, reset_all, spawn_model, spawn_all_models
from delete_models import delete_all, de... | 40.173913 | 170 | 0.530483 | 696 | 5,544 | 4.033046 | 0.222701 | 0.049875 | 0.055575 | 0.049875 | 0.333096 | 0.286783 | 0.286783 | 0.265052 | 0.244389 | 0.215889 | 0 | 0.014782 | 0.341089 | 5,544 | 138 | 171 | 40.173913 | 0.753627 | 0.136724 | 0 | 0.140351 | 0 | 0.008772 | 0.154754 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008772 | false | 0 | 0.070175 | 0 | 0.087719 | 0.096491 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fac3e7275b1080c646a6ed12952be14a9e25f1 | 1,427 | py | Python | Enigma/Enigma.py | archanpatkar/Enigma | dbbc1fda99bf451a0284f051c724ed43915dfe2a | [
"MIT"
] | 3 | 2019-06-25T06:46:50.000Z | 2021-07-27T14:14:32.000Z | Enigma/Enigma.py | archanpatkar/Enigma | dbbc1fda99bf451a0284f051c724ed43915dfe2a | [
"MIT"
] | null | null | null | Enigma/Enigma.py | archanpatkar/Enigma | dbbc1fda99bf451a0284f051c724ed43915dfe2a | [
"MIT"
] | 1 | 2021-07-27T14:20:30.000Z | 2021-07-27T14:20:30.000Z | from Enigma.Rotor import Rotor
from Enigma.Reflector import Reflector
from Enigma.Plugboard import Plugboard
class Enigma:
def __init__(self , rotors = [ Rotor(0,"IC") , Rotor(0,"IIC") , Rotor(0,"IIIC") ] , plugboard = Plugboard() , reflector = Reflector("A")):
self.rotors = rotors
for i in r... | 32.431818 | 143 | 0.5459 | 161 | 1,427 | 4.813665 | 0.279503 | 0.064516 | 0.030968 | 0.04129 | 0.36129 | 0.255484 | 0.255484 | 0.255484 | 0.255484 | 0.16 | 0 | 0.007307 | 0.328662 | 1,427 | 43 | 144 | 33.186047 | 0.80167 | 0 | 0 | 0.368421 | 0 | 0 | 0.013315 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.078947 | 0 | 0.289474 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fb4aef0b525310a37b5aa5c278d91c9afe8fd1 | 2,711 | py | Python | magicauth/send_token.py | JMIdeaMaker/django-magicauth | ffca3423c46f8f3d7e49eaf374b33265d4730587 | [
"MIT"
] | null | null | null | magicauth/send_token.py | JMIdeaMaker/django-magicauth | ffca3423c46f8f3d7e49eaf374b33265d4730587 | [
"MIT"
] | null | null | null | magicauth/send_token.py | JMIdeaMaker/django-magicauth | ffca3423c46f8f3d7e49eaf374b33265d4730587 | [
"MIT"
] | null | null | null | import math
from django.contrib.auth import get_user_model
from django.contrib.sites.shortcuts import get_current_site
from django.core.mail import send_mail
from django.template import loader
from magicauth import settings as magicauth_settings
from django.conf import settings as django_settings
from magicauth.model... | 36.146667 | 98 | 0.69384 | 335 | 2,711 | 5.337313 | 0.280597 | 0.08557 | 0.061521 | 0.017897 | 0.14094 | 0.033557 | 0 | 0 | 0 | 0 | 0 | 0.000969 | 0.239026 | 2,711 | 74 | 99 | 36.635135 | 0.86573 | 0.130579 | 0 | 0 | 0 | 0 | 0.034121 | 0.028434 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.211538 | 0 | 0.346154 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fbcfdc398532d49a5138646d1108fbc979d12a | 2,148 | py | Python | qcdb/util/paths.py | loriab/qccddb | d9e156ef8b313ac0633211fc6b841f84a3ddde24 | [
"BSD-3-Clause"
] | 8 | 2019-03-28T11:54:59.000Z | 2022-03-19T03:31:37.000Z | qcdb/util/paths.py | loriab/qccddb | d9e156ef8b313ac0633211fc6b841f84a3ddde24 | [
"BSD-3-Clause"
] | 39 | 2018-10-31T23:02:18.000Z | 2021-12-12T22:11:37.000Z | qcdb/util/paths.py | loriab/qccddb | d9e156ef8b313ac0633211fc6b841f84a3ddde24 | [
"BSD-3-Clause"
] | 9 | 2018-03-12T20:51:50.000Z | 2022-02-28T15:18:34.000Z | import os
import sys
## {{{ http://code.activestate.com/recipes/52224/ (r1)
def search_file(filename, search_path):
"""Given an os.pathsep divided `search_path`, find first occurrence of
`filename`. Returns full path to file if found or None if unfound.
"""
file_found = False
paths = search_path.... | 26.85 | 74 | 0.603352 | 277 | 2,148 | 4.519856 | 0.361011 | 0.052716 | 0.035942 | 0.050319 | 0.162939 | 0.127796 | 0.073482 | 0.073482 | 0.073482 | 0.073482 | 0 | 0.015202 | 0.295624 | 2,148 | 79 | 75 | 27.189873 | 0.812293 | 0.278864 | 0 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0.021739 | 0.108696 | 0 | 0.326087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fbd095d48c73b6a23ec7ef2c3b6688ff51dfc5 | 2,380 | py | Python | tests/models/DCN_test.py | JiangBowen-master/DeepCTR | 291ffb0ff3b8322f64bd839f963d5c7a70e6b358 | [
"Apache-2.0"
] | 1 | 2021-09-20T14:12:35.000Z | 2021-09-20T14:12:35.000Z | tests/models/DCN_test.py | JiangBowen-master/DeepCTR | 291ffb0ff3b8322f64bd839f963d5c7a70e6b358 | [
"Apache-2.0"
] | 1 | 2022-02-10T06:29:19.000Z | 2022-02-10T06:29:19.000Z | tests/models/DCN_test.py | JiangBowen-master/DeepCTR | 291ffb0ff3b8322f64bd839f963d5c7a70e6b358 | [
"Apache-2.0"
] | null | null | null | import pytest
import tensorflow as tf
from deepctr.estimator import DCNEstimator
from deepctr.models import DCN
from ..utils import check_model, get_test_data, SAMPLE_SIZE, get_test_data_estimator, check_estimator, \
Estimator_TEST_TF1
@pytest.mark.parametrize(
'cross_num,hidden_size,sparse_feature_num,cross... | 42.5 | 122 | 0.654622 | 301 | 2,380 | 4.760797 | 0.215947 | 0.08374 | 0.111654 | 0.08374 | 0.542219 | 0.519888 | 0.447313 | 0.378925 | 0.343336 | 0.2903 | 0 | 0.024671 | 0.233613 | 2,380 | 55 | 123 | 43.272727 | 0.760965 | 0.191597 | 0 | 0.210526 | 0 | 0 | 0.082377 | 0.053702 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0.026316 | 0.131579 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fc42709c54959b0375cdc103e3419eb44ee072 | 3,012 | py | Python | deploy_tix/__main__.py | rpappalax/deploy-tix | a53c7fa7898b9f0c2f530c8abd8bab322a2eb7bc | [
"MIT"
] | null | null | null | deploy_tix/__main__.py | rpappalax/deploy-tix | a53c7fa7898b9f0c2f530c8abd8bab322a2eb7bc | [
"MIT"
] | 20 | 2015-02-24T08:56:47.000Z | 2018-07-25T16:35:30.000Z | deploy_tix/__main__.py | rpappalax/deploy-tix | a53c7fa7898b9f0c2f530c8abd8bab322a2eb7bc | [
"MIT"
] | 3 | 2015-04-01T21:39:50.000Z | 2020-09-10T19:40:43.000Z | import argparse
from deploy_tix.bugzilla_rest_client import BugzillaRESTClient
from deploy_tix.release_notes import ReleaseNotes
from output_helper import OutputHelper
def main(args=None):
parser = argparse.ArgumentParser(
description='Scripts for creating / updating deployment tickets in \
Bugzi... | 30.12 | 87 | 0.625166 | 327 | 3,012 | 5.608563 | 0.330275 | 0.041985 | 0.041439 | 0.037623 | 0.06325 | 0.06325 | 0.023991 | 0.023991 | 0 | 0 | 0 | 0.003135 | 0.258632 | 3,012 | 99 | 88 | 30.424242 | 0.818182 | 0.0249 | 0 | 0.181818 | 0 | 0 | 0.163655 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012987 | false | 0 | 0.051948 | 0 | 0.064935 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fce9990550dc9cdc1a65b09b6de93156132380 | 2,583 | py | Python | site-packages/visual/examples/drape.py | lebarsfa/vpython-wx | 38df062e5532b79f632f4f2a1abae86754c264a9 | [
"BSL-1.0"
] | 68 | 2015-01-17T05:41:58.000Z | 2021-04-24T08:35:24.000Z | site-packages/visual/examples/drape.py | lebarsfa/vpython-wx | 38df062e5532b79f632f4f2a1abae86754c264a9 | [
"BSL-1.0"
] | 16 | 2015-01-02T19:36:06.000Z | 2018-09-09T21:01:25.000Z | site-packages/visual/examples/drape.py | lebarsfa/vpython-wx | 38df062e5532b79f632f4f2a1abae86754c264a9 | [
"BSL-1.0"
] | 37 | 2015-02-04T04:23:00.000Z | 2020-06-07T03:24:41.000Z | from visual import *
print("""
Click to place spheres under falling string.
Right button drag or Ctrl-drag to rotate view.
Middle button drag or Alt-drag to zoom in or out.
On a two-button mouse, middle is left + right.
""")
# David Scherer
scene.title = "Drape"
restlength = 0.02
m = 0.010 * restlengt... | 27.189474 | 81 | 0.542005 | 414 | 2,583 | 3.381643 | 0.318841 | 0.060714 | 0.038571 | 0.02 | 0.172857 | 0.164286 | 0.137143 | 0.092857 | 0.065714 | 0.065714 | 0 | 0.051407 | 0.284553 | 2,583 | 94 | 82 | 27.478723 | 0.706169 | 0.16144 | 0 | 0.126984 | 0 | 0 | 0.095724 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.015873 | 0 | 0.015873 | 0.015873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fd39f8be55af2124122647f83ca83013ed5b72 | 8,921 | py | Python | sdc/utilities/sdc_typing_utils.py | dlee992/sdc | 1ebf55c00ef38dfbd401a70b3945e352a5a38b87 | [
"BSD-2-Clause"
] | 540 | 2017-06-19T16:29:24.000Z | 2019-05-21T09:30:07.000Z | sdc/utilities/sdc_typing_utils.py | dlee992/sdc | 1ebf55c00ef38dfbd401a70b3945e352a5a38b87 | [
"BSD-2-Clause"
] | 389 | 2019-10-30T18:56:46.000Z | 2022-03-09T08:21:36.000Z | sdc/utilities/sdc_typing_utils.py | dlee992/sdc | 1ebf55c00ef38dfbd401a70b3945e352a5a38b87 | [
"BSD-2-Clause"
] | 36 | 2017-06-19T16:29:15.000Z | 2019-04-26T09:22:39.000Z | # *****************************************************************************
# Copyright (c) 2020, Intel Corporation All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# Redistributions of sou... | 34.311538 | 109 | 0.690954 | 1,189 | 8,921 | 4.997477 | 0.248949 | 0.012117 | 0.018849 | 0.021205 | 0.266914 | 0.176372 | 0.129923 | 0.099293 | 0.099293 | 0.073376 | 0 | 0.001143 | 0.215335 | 8,921 | 259 | 110 | 34.444015 | 0.847714 | 0.391212 | 0 | 0.119658 | 0 | 0 | 0.017818 | 0.00495 | 0 | 0 | 0 | 0.003861 | 0 | 1 | 0.162393 | false | 0.008547 | 0.076923 | 0.017094 | 0.478632 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fde8ce197812a38b7631459a915158d4d2d39f | 1,074 | py | Python | Hackerrank/Contests/Project Euler/euler010.py | PROxZIMA/Competitive-Coding | ba6b365ea130b6fcaa15c5537b530ed363bab793 | [
"MIT"
] | 1 | 2021-01-10T13:29:21.000Z | 2021-01-10T13:29:21.000Z | Hackerrank/Contests/Project Euler/euler010.py | PROxZIMA/Competitive-Coding | ba6b365ea130b6fcaa15c5537b530ed363bab793 | [
"MIT"
] | null | null | null | Hackerrank/Contests/Project Euler/euler010.py | PROxZIMA/Competitive-Coding | ba6b365ea130b6fcaa15c5537b530ed363bab793 | [
"MIT"
] | null | null | null | from math import sqrt
# Naive method: Loop through N and check if every number is prime or not. If prime add to sum. Time complexity is O(√n). Time of execution ~ 8sec for n = 1000000
def prime(n):
yield 2
yield 3
for p in range(5, n+1, 2):
if p % 3 == 0:
continue
else:
... | 23.347826 | 161 | 0.515829 | 183 | 1,074 | 3.021858 | 0.311475 | 0.075949 | 0.03255 | 0.065099 | 0.135624 | 0 | 0 | 0 | 0 | 0 | 0 | 0.091808 | 0.340782 | 1,074 | 45 | 162 | 23.866667 | 0.687853 | 0.241155 | 0 | 0.15625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.03125 | 0 | 0.0625 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53fe751d15505be94879d0853534a2ee2c6e3129 | 3,891 | py | Python | DQM/L1TMonitorClient/python/L1EmulatorErrorFlagClient_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DQM/L1TMonitorClient/python/L1EmulatorErrorFlagClient_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DQM/L1TMonitorClient/python/L1EmulatorErrorFlagClient_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
l1EmulatorErrorFlagClient = DQMEDHarvester("L1EmulatorErrorFlagClient",
#
# for each L1 system, give:
# - SystemLabel: system label
# - HwValLabel: system label as used in hardware validation ... | 45.776471 | 101 | 0.40992 | 274 | 3,891 | 5.821168 | 0.273723 | 0.186207 | 0.124138 | 0.144828 | 0.468966 | 0.452038 | 0.452038 | 0.426332 | 0.426332 | 0.426332 | 0 | 0.022495 | 0.497301 | 3,891 | 84 | 102 | 46.321429 | 0.792945 | 0.125161 | 0 | 0.583333 | 0 | 0 | 0.040672 | 0.013557 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.027778 | 0 | 0.027778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ff445026af64cf9c890da3e25303bb69266c4d | 17,382 | py | Python | codalab/model/tables.py | jzwang43/codalab-worksheets | b1d4c6cc4b72f4dfa35a15f876e2d0ce9a03d28d | [
"Apache-2.0"
] | null | null | null | codalab/model/tables.py | jzwang43/codalab-worksheets | b1d4c6cc4b72f4dfa35a15f876e2d0ce9a03d28d | [
"Apache-2.0"
] | null | null | null | codalab/model/tables.py | jzwang43/codalab-worksheets | b1d4c6cc4b72f4dfa35a15f876e2d0ce9a03d28d | [
"Apache-2.0"
] | null | null | null | """
The SQLAlchemy table objects for the CodaLab bundle system tables.
"""
# TODO: Replace String and Text columns with Unicode and UnicodeText as appropriate
# This way, SQLAlchemy will automatically perform conversions to and from UTF-8
# encoding, or use appropriate database engine-specific data types for Unicode
# ... | 36.904459 | 136 | 0.676159 | 2,111 | 17,382 | 5.421601 | 0.153955 | 0.116994 | 0.058104 | 0.042289 | 0.529664 | 0.47287 | 0.420882 | 0.375273 | 0.359546 | 0.347401 | 0 | 0.014881 | 0.195835 | 17,382 | 470 | 137 | 36.982979 | 0.803906 | 0.220055 | 0 | 0.534005 | 0 | 0 | 0.16736 | 0.018637 | 0 | 0 | 0.001782 | 0.002128 | 0 | 1 | 0 | false | 0.005038 | 0.010076 | 0 | 0.010076 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
53ff8a47a271e5535277c6325b7ff8df26908ae6 | 31,403 | py | Python | grpc/plugins/connection/gnmi.py | hansthienpondt/ansible-networking-collections | 278c88fceac297693a31df3cb54c942284823fbd | [
"BSD-3-Clause"
] | null | null | null | grpc/plugins/connection/gnmi.py | hansthienpondt/ansible-networking-collections | 278c88fceac297693a31df3cb54c942284823fbd | [
"BSD-3-Clause"
] | null | null | null | grpc/plugins/connection/gnmi.py | hansthienpondt/ansible-networking-collections | 278c88fceac297693a31df3cb54c942284823fbd | [
"BSD-3-Clause"
] | null | null | null | # (c) 2020 Nokia
#
# Licensed under the BSD 3 Clause license
# SPDX-License-Identifier: BSD-3-Clause
#
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
DOCUMENTATION = """
---
author:
- "Hans Thienpondt (@HansThienpondt)"
- "Sven Wisotzky (@wisotzky)"
connection: gnmi
short_... | 37.74399 | 124 | 0.583384 | 3,438 | 31,403 | 5.220477 | 0.172193 | 0.015322 | 0.0117 | 0.008525 | 0.32973 | 0.25624 | 0.220303 | 0.193782 | 0.180187 | 0.174838 | 0 | 0.003383 | 0.331656 | 31,403 | 831 | 125 | 37.78941 | 0.851772 | 0.183008 | 0 | 0.326316 | 0 | 0.003509 | 0.365895 | 0.037773 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0.019298 | 0.02807 | 0 | 0.089474 | 0.001754 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
99050763178e67f3f1f7faee3c71dfb0a78b6af1 | 4,521 | py | Python | experiments/delaney/plot.py | pfnet-research/bayesgrad | 5db613391777b20b7a367c274804f0b736991b0a | [
"MIT"
] | 57 | 2018-06-30T01:47:19.000Z | 2022-03-03T17:21:42.000Z | experiments/delaney/plot.py | pfnet-research/bayesgrad | 5db613391777b20b7a367c274804f0b736991b0a | [
"MIT"
] | null | null | null | experiments/delaney/plot.py | pfnet-research/bayesgrad | 5db613391777b20b7a367c274804f0b736991b0a | [
"MIT"
] | 8 | 2018-07-07T06:18:40.000Z | 2021-02-23T21:58:45.000Z | import argparse
import numpy as np
import os
import sys
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
from saliency.visualizer.smiles_visualizer import SmilesVisualizer
def visualize(dir_path):
... | 35.320313 | 116 | 0.628622 | 624 | 4,521 | 4.366987 | 0.216346 | 0.04844 | 0.062385 | 0.039633 | 0.352294 | 0.327706 | 0.299083 | 0.26055 | 0.173578 | 0.162569 | 0 | 0.013241 | 0.231586 | 4,521 | 127 | 117 | 35.598425 | 0.771157 | 0.111701 | 0 | 0.0625 | 0 | 0 | 0.074675 | 0.005495 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072917 | false | 0 | 0.072917 | 0 | 0.197917 | 0.010417 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
990961ddde648d8a6e8bdae1002af6b0a3fe992c | 1,639 | py | Python | gpytorch/lazy/chol_lazy_tensor.py | harvineet/gpytorch | 8aa8f1a4298ef61cfea9c4d11c75576a84ffcc3e | [
"MIT"
] | null | null | null | gpytorch/lazy/chol_lazy_tensor.py | harvineet/gpytorch | 8aa8f1a4298ef61cfea9c4d11c75576a84ffcc3e | [
"MIT"
] | null | null | null | gpytorch/lazy/chol_lazy_tensor.py | harvineet/gpytorch | 8aa8f1a4298ef61cfea9c4d11c75576a84ffcc3e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import torch
from .lazy_tensor import LazyTensor
from .root_lazy_tensor import RootLazyTensor
from .. import settings
class CholLazyTensor(RootLazyTensor):
def __init__(self, chol):
if isinstance(chol, LazyTensor): # Probably is an instance of NonLazyTensor
chol = cho... | 33.44898 | 113 | 0.654667 | 216 | 1,639 | 4.694444 | 0.393519 | 0.075937 | 0.047337 | 0.047337 | 0.126233 | 0.078895 | 0 | 0 | 0 | 0 | 0 | 0.008936 | 0.248932 | 1,639 | 48 | 114 | 34.145833 | 0.814785 | 0.078707 | 0 | 0.060606 | 0 | 0 | 0.066401 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0 | 0.121212 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9909642cf635ba7b413ffb8f974cd5801c613d72 | 5,765 | py | Python | pirates/audio/AmbientManagerBase.py | ksmit799/POTCO-PS | 520d38935ae8df4b452c733a82c94dddac01e275 | [
"Apache-2.0"
] | 8 | 2017-01-24T04:33:29.000Z | 2020-11-01T08:36:24.000Z | pirates/audio/AmbientManagerBase.py | ksmit799/Pirates-Online-Remake | 520d38935ae8df4b452c733a82c94dddac01e275 | [
"Apache-2.0"
] | 1 | 2017-03-02T18:05:17.000Z | 2017-03-14T06:47:10.000Z | pirates/audio/AmbientManagerBase.py | ksmit799/Pirates-Online-Remake | 520d38935ae8df4b452c733a82c94dddac01e275 | [
"Apache-2.0"
] | 11 | 2017-03-02T18:46:07.000Z | 2020-11-01T08:36:26.000Z | # File: A (Python 2.4)
from pandac.PandaModules import AudioSound
from direct.directnotify import DirectNotifyGlobal
from direct.interval.IntervalGlobal import LerpFunc, Sequence
from direct.showbase.DirectObject import DirectObject
class AmbientSound:
notify = DirectNotifyGlobal.directNotify.newCategory('Ambient... | 30.828877 | 153 | 0.601214 | 555 | 5,765 | 6.225225 | 0.196396 | 0.044573 | 0.049493 | 0.031259 | 0.280753 | 0.219971 | 0.145007 | 0.108538 | 0.108538 | 0.068307 | 0 | 0.010033 | 0.308413 | 5,765 | 186 | 154 | 30.994624 | 0.856534 | 0.003469 | 0 | 0.282258 | 0 | 0 | 0.025605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16129 | false | 0.016129 | 0.032258 | 0.016129 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
99098c029853719101bfb8070fc7fe3e4ddbd2c3 | 6,801 | py | Python | hexrd/ui/matrix_editor.py | HEXRD/hexrdgui | d92915463f237e0521b5830655ae73bc5bcd9f80 | [
"BSD-3-Clause"
] | 13 | 2020-02-18T00:23:02.000Z | 2022-02-24T20:04:36.000Z | hexrd/ui/matrix_editor.py | HEXRD/hexrdgui | d92915463f237e0521b5830655ae73bc5bcd9f80 | [
"BSD-3-Clause"
] | 656 | 2020-01-14T02:33:40.000Z | 2022-03-26T15:31:17.000Z | hexrd/ui/matrix_editor.py | HEXRD/hexrdgui | d92915463f237e0521b5830655ae73bc5bcd9f80 | [
"BSD-3-Clause"
] | 6 | 2020-01-17T15:02:53.000Z | 2020-11-01T22:02:48.000Z | import numpy as np
from PySide2.QtCore import QSignalBlocker, Signal
from PySide2.QtWidgets import QGridLayout, QWidget
from hexrd.ui.scientificspinbox import ScientificDoubleSpinBox
DEFAULT_ENABLED_STYLE_SHEET = 'background-color: white'
DEFAULT_DISABLED_STYLE_SHEET = 'background-color: #F0F0F0'
INVALID_MATRIX_STY... | 27.987654 | 78 | 0.617115 | 859 | 6,801 | 4.67986 | 0.194412 | 0.027861 | 0.027363 | 0.029851 | 0.247015 | 0.163184 | 0.151741 | 0.151741 | 0.091045 | 0.091045 | 0 | 0.004747 | 0.287605 | 6,801 | 242 | 79 | 28.103306 | 0.824974 | 0.070284 | 0 | 0.258824 | 0 | 0 | 0.037876 | 0.003962 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.035294 | 0.047059 | 0.311765 | 0.005882 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
990b3873866758deed49ecf19b9f6e265d5bd2a4 | 3,616 | py | Python | checkerpy/types/all/typedtuple.py | yedivanseven/CheckerPy | 04612086d25fecdd0b20ca0a050db8620c437b0e | [
"MIT"
] | 1 | 2018-01-12T19:20:51.000Z | 2018-01-12T19:20:51.000Z | checkerpy/types/all/typedtuple.py | yedivanseven/CheckerPy | 04612086d25fecdd0b20ca0a050db8620c437b0e | [
"MIT"
] | null | null | null | checkerpy/types/all/typedtuple.py | yedivanseven/CheckerPy | 04612086d25fecdd0b20ca0a050db8620c437b0e | [
"MIT"
] | null | null | null | from typing import Tuple, Union, Any, Sequence
from collections import deque, defaultdict, OrderedDict
from ...validators.one import JustLen
from ...functional.mixins import CompositionClassMixin
from ..one import Just
dict_keys = type({}.keys())
odict_keys = type(OrderedDict({}).keys())
dict_values = type({}.values()... | 35.45098 | 78 | 0.641316 | 465 | 3,616 | 4.84086 | 0.283871 | 0.021324 | 0.023989 | 0.013327 | 0.097734 | 0.023989 | 0.023989 | 0 | 0 | 0 | 0 | 0 | 0.264657 | 3,616 | 101 | 79 | 35.80198 | 0.846559 | 0.358407 | 0 | 0.040816 | 0 | 0 | 0.053142 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.102041 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
54d0c963fcd5c7b6f9c7de58ed61e6d2623f1f5a | 3,501 | py | Python | cloudshell/cli/configurator.py | QualiSystems/cloudshell-cli | 9a38ff37e91e7798511e860603f5a8a79b782472 | [
"Apache-2.0"
] | 4 | 2017-01-31T14:05:19.000Z | 2019-04-10T16:35:44.000Z | cloudshell/cli/configurator.py | QualiSystems/cloudshell-cli | 9a38ff37e91e7798511e860603f5a8a79b782472 | [
"Apache-2.0"
] | 89 | 2016-05-25T14:17:38.000Z | 2022-03-17T13:09:59.000Z | cloudshell/cli/configurator.py | QualiSystems/cloudshell-cli | 9a38ff37e91e7798511e860603f5a8a79b782472 | [
"Apache-2.0"
] | 6 | 2016-07-21T12:24:10.000Z | 2022-02-21T06:33:18.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
from abc import ABCMeta, abstractmethod
from collections import defaultdict
from cloudshell.cli.factory.session_factory import (
CloudInfoAccessKeySessionFactory,
GenericSessionFactory,
SessionFactory,
)
from cloudshell.cli.service.cli import CLI
from cl... | 32.119266 | 120 | 0.694087 | 380 | 3,501 | 6.139474 | 0.307895 | 0.061723 | 0.029147 | 0.02186 | 0.036005 | 0.036005 | 0.036005 | 0.036005 | 0.036005 | 0 | 0 | 0.004059 | 0.225935 | 3,501 | 108 | 121 | 32.416667 | 0.856827 | 0.234504 | 0 | 0.112676 | 0 | 0 | 0.004734 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140845 | false | 0.028169 | 0.126761 | 0.042254 | 0.408451 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |