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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6a8b93de9ef615a88be0dad5abda769599f3cf01 | 2,886 | py | Python | neptune/internal/client_library/job_development_api/image.py | jiji-online/neptune-cli | 50cf680a80d141497f9331ab7cdaee49fcb90b0c | [
"Apache-2.0"
] | null | null | null | neptune/internal/client_library/job_development_api/image.py | jiji-online/neptune-cli | 50cf680a80d141497f9331ab7cdaee49fcb90b0c | [
"Apache-2.0"
] | null | null | null | neptune/internal/client_library/job_development_api/image.py | jiji-online/neptune-cli | 50cf680a80d141497f9331ab7cdaee49fcb90b0c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (c) 2016, deepsense.io
#
# 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... | 26.722222 | 93 | 0.647263 | 359 | 2,886 | 5.111421 | 0.389972 | 0.038147 | 0.035967 | 0.027793 | 0.124251 | 0.091553 | 0.091553 | 0.059946 | 0.059946 | 0.059946 | 0 | 0.007597 | 0.27027 | 2,886 | 107 | 94 | 26.971963 | 0.863723 | 0.469508 | 0 | 0.081081 | 0 | 0 | 0.006329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135135 | false | 0 | 0.189189 | 0 | 0.459459 | 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 |
6a8e67d20152ca7acb56c8c6199b1999e7f99406 | 500 | py | Python | pybyte/session.py | ms7m/py-byte | c5872ff5b8536160d8cbd7f88406ed593113e77d | [
"MIT"
] | 4 | 2020-01-26T17:22:05.000Z | 2020-08-15T12:23:31.000Z | pybyte/session.py | ms7m/py-byte | c5872ff5b8536160d8cbd7f88406ed593113e77d | [
"MIT"
] | 3 | 2020-01-27T18:10:06.000Z | 2020-03-31T10:56:03.000Z | pybyte/session.py | ms7m/py-byte | c5872ff5b8536160d8cbd7f88406ed593113e77d | [
"MIT"
] | 2 | 2020-01-27T17:59:45.000Z | 2020-02-01T16:43:53.000Z |
import requests
class ByteSession(object):
def __init__(self, token, providedSession=False):
self._userToken = token
if providedSession == False:
self._session = requests.session()
else:
self._session = providedSession
self._session.headers = {
... | 26.315789 | 91 | 0.594 | 54 | 500 | 5.333333 | 0.62963 | 0.152778 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034091 | 0.296 | 500 | 19 | 92 | 26.315789 | 0.784091 | 0 | 0 | 0 | 0 | 0.071429 | 0.172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0.071429 | 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 |
6a8f6efd4560f4b302cef1f8c07a3c86f509c35d | 642 | py | Python | debugging/code/multiprocess_main.py | awesome-archive/python-debugging-skills | 69af455302a805d6f198a06ea934f79d5913cb3e | [
"MIT"
] | null | null | null | debugging/code/multiprocess_main.py | awesome-archive/python-debugging-skills | 69af455302a805d6f198a06ea934f79d5913cb3e | [
"MIT"
] | null | null | null | debugging/code/multiprocess_main.py | awesome-archive/python-debugging-skills | 69af455302a805d6f198a06ea934f79d5913cb3e | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
import multiprocessing as mp
import time
from pudb.remote import set_trace
def worker(worker_id):
""" Simple worker process"""
i = 0
while i < 10:
if worker_id == 1: # debug process with id 1
set_trace(term_size=(80, 24))
time.sleep(1) # represents ... | 22.928571 | 57 | 0.573209 | 91 | 642 | 3.868132 | 0.538462 | 0.068182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030973 | 0.29595 | 642 | 27 | 58 | 23.777778 | 0.747788 | 0.17134 | 0 | 0 | 0 | 0 | 0.051724 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.210526 | 0.052632 | 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 |
6a8fb5db5439c528b72c62e081f71f595115b9ad | 1,317 | py | Python | lldb/packages/Python/lldbsuite/test/expression_command/anonymous-struct/TestCallUserAnonTypedef.py | bytesnake/Enzyme | 247606c279920d476645d2e319e574bf8be10fc9 | [
"Apache-2.0"
] | null | null | null | lldb/packages/Python/lldbsuite/test/expression_command/anonymous-struct/TestCallUserAnonTypedef.py | bytesnake/Enzyme | 247606c279920d476645d2e319e574bf8be10fc9 | [
"Apache-2.0"
] | null | null | null | lldb/packages/Python/lldbsuite/test/expression_command/anonymous-struct/TestCallUserAnonTypedef.py | bytesnake/Enzyme | 247606c279920d476645d2e319e574bf8be10fc9 | [
"Apache-2.0"
] | null | null | null | """
Test calling user defined functions using expression evaluation.
This test checks that typesystem lookup works correctly for typedefs of
untagged structures.
Ticket: https://llvm.org/bugs/show_bug.cgi?id=26790
"""
from __future__ import print_function
import lldb
from lldbsuite.test.decorators import *
from lld... | 28.021277 | 85 | 0.658314 | 148 | 1,317 | 5.695946 | 0.648649 | 0.046263 | 0.060498 | 0.054567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01291 | 0.235383 | 1,317 | 46 | 86 | 28.630435 | 0.82423 | 0.230068 | 0 | 0 | 0 | 0 | 0.105894 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.178571 | 0 | 0.321429 | 0.035714 | 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 |
6a920dacf31156e85a0fcebb52765a1d1ca683fe | 2,255 | py | Python | authors/apps/notifications/views.py | andela/ah-backend-spaces- | 58e031a96a6b9555f1a4133cf8cb688c236d3f3b | [
"BSD-3-Clause"
] | 2 | 2018-08-17T15:47:36.000Z | 2018-09-13T13:58:34.000Z | authors/apps/notifications/views.py | andela/ah-backend-spaces- | 58e031a96a6b9555f1a4133cf8cb688c236d3f3b | [
"BSD-3-Clause"
] | 35 | 2018-07-24T11:42:53.000Z | 2021-06-10T20:34:41.000Z | authors/apps/notifications/views.py | andela/ah-backend-spaces- | 58e031a96a6b9555f1a4133cf8cb688c236d3f3b | [
"BSD-3-Clause"
] | 3 | 2018-07-17T13:05:35.000Z | 2018-09-06T16:03:52.000Z | from rest_framework import status
from rest_framework.generics import (
RetrieveUpdateAPIView, CreateAPIView,
RetrieveUpdateDestroyAPIView
)
from rest_framework.permissions import AllowAny, IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView
from ..authenticatio... | 34.692308 | 93 | 0.73082 | 228 | 2,255 | 7.083333 | 0.407895 | 0.024768 | 0.052632 | 0.04582 | 0.054489 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004442 | 0.20133 | 2,255 | 64 | 94 | 35.234375 | 0.892282 | 0.180044 | 0 | 0.054054 | 0 | 0 | 0.067334 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.27027 | 0 | 0.459459 | 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 |
6a95707999c6dd8d718ea3549fc898fb5e496ed8 | 965 | py | Python | python/flexflow/keras/datasets/cifar.py | zmxdream/FlexFlow | 7ea50d71a02e853af7ae573d88c911511b3e82e0 | [
"Apache-2.0"
] | 455 | 2018-12-09T01:57:46.000Z | 2022-03-22T01:56:47.000Z | python/flexflow/keras/datasets/cifar.py | zmxdream/FlexFlow | 7ea50d71a02e853af7ae573d88c911511b3e82e0 | [
"Apache-2.0"
] | 136 | 2019-04-19T08:24:27.000Z | 2022-03-28T01:39:19.000Z | python/flexflow/keras/datasets/cifar.py | zmxdream/FlexFlow | 7ea50d71a02e853af7ae573d88c911511b3e82e0 | [
"Apache-2.0"
] | 102 | 2018-12-22T07:38:05.000Z | 2022-03-30T06:04:39.000Z | # -*- coding: utf-8 -*-
"""Utilities common to CIFAR10 and CIFAR100 datasets.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
from six.moves import cPickle
def load_batch(fpath, label_key='labels'):
"""Internal utility for parsing CIFAR ... | 26.081081 | 53 | 0.586528 | 126 | 965 | 4.31746 | 0.547619 | 0.055147 | 0.088235 | 0.047794 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022355 | 0.304663 | 965 | 37 | 54 | 26.081081 | 0.788376 | 0.295337 | 0 | 0 | 0 | 0 | 0.032864 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.263158 | 0 | 0.368421 | 0.052632 | 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 |
6a96000d55f22510def511958af1f99b01dba806 | 523 | py | Python | day7/p2.py | Seralpa/Advent-of-code | 9633624e4ff48c50d8be3deac54c83059e9c3b04 | [
"MIT"
] | 1 | 2020-12-18T16:06:25.000Z | 2020-12-18T16:06:25.000Z | day7/p2.py | Seralpa/Advent-of-code | 9633624e4ff48c50d8be3deac54c83059e9c3b04 | [
"MIT"
] | null | null | null | day7/p2.py | Seralpa/Advent-of-code | 9633624e4ff48c50d8be3deac54c83059e9c3b04 | [
"MIT"
] | null | null | null | def getNumBags(color):
if color=='':
return 0
numBags=1
for bag in rules[color]:
numBags+=bag[1]*getNumBags(bag[0])
return numBags
with open('day7/input.txt') as f:
rules=dict([l.split(' contain') for l in f.read().replace(' bags', '').replace(' bag', '').replace('.', '').replace(' ... | 40.230769 | 153 | 0.596558 | 79 | 523 | 3.949367 | 0.506329 | 0.067308 | 0.044872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02331 | 0.179732 | 523 | 13 | 154 | 40.230769 | 0.703963 | 0.059273 | 0 | 0 | 0 | 0 | 0.111789 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.25 | 0.083333 | 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 |
6a9611abd97c536f926ca250cbefadb44ebcbbc2 | 471 | py | Python | adv/luther.py | 6tennis/dl | 69eb7e71da9fabe9e7ec40c461b525b4f967f345 | [
"Apache-2.0"
] | null | null | null | adv/luther.py | 6tennis/dl | 69eb7e71da9fabe9e7ec40c461b525b4f967f345 | [
"Apache-2.0"
] | null | null | null | adv/luther.py | 6tennis/dl | 69eb7e71da9fabe9e7ec40c461b525b4f967f345 | [
"Apache-2.0"
] | null | null | null | from core.advbase import *
from slot.d import *
def module():
return Luther
class Luther(Adv):
a1 = ('cc',0.10,'hit15')
conf = {}
conf ['slots.d'] = Leviathan()
conf['acl'] = """
`dragon
`s1
`s2, seq=5 and cancel
`s3, seq=5 and cancel or fsc
`fs, seq=5
... | 20.478261 | 44 | 0.552017 | 64 | 471 | 3.875 | 0.703125 | 0.048387 | 0.056452 | 0.104839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035821 | 0.288747 | 471 | 23 | 45 | 20.478261 | 0.704478 | 0 | 0 | 0 | 0 | 0 | 0.336864 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0.052632 | 0.473684 | 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 |
6a9615693970b5561756763d7533ebc0f325ce0c | 21,646 | py | Python | wandb/sdk/data_types/image.py | macio232/client | 295380c99b1a0946470672d40348b17a674ad17f | [
"MIT"
] | null | null | null | wandb/sdk/data_types/image.py | macio232/client | 295380c99b1a0946470672d40348b17a674ad17f | [
"MIT"
] | null | null | null | wandb/sdk/data_types/image.py | macio232/client | 295380c99b1a0946470672d40348b17a674ad17f | [
"MIT"
] | null | null | null | import hashlib
from io import BytesIO
import logging
import os
from typing import Any, cast, Dict, List, Optional, Sequence, Type, TYPE_CHECKING, Union
from pkg_resources import parse_version
import wandb
from wandb import util
from ._private import MEDIA_TMP
from .base_types.media import BatchableMedia, Media
from .... | 36.688136 | 119 | 0.572438 | 2,602 | 21,646 | 4.567256 | 0.154112 | 0.01969 | 0.013632 | 0.007152 | 0.241669 | 0.186974 | 0.171491 | 0.153315 | 0.146415 | 0.141535 | 0 | 0.007541 | 0.326111 | 21,646 | 589 | 120 | 36.750424 | 0.807157 | 0.130832 | 0 | 0.205357 | 0 | 0 | 0.09162 | 0.002533 | 0 | 0 | 0 | 0.003396 | 0 | 1 | 0.049107 | false | 0.002232 | 0.044643 | 0.006696 | 0.169643 | 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 |
6a961a7708b268c3d81ea73ab8b93515bd578d6c | 669 | py | Python | src/ACC_Backend_Utils.py | skostic14/isda-racing-backend | 41b5f9760dc17a29aa8ab5e4cc1894a27496a72c | [
"Apache-2.0"
] | 1 | 2021-07-29T05:29:06.000Z | 2021-07-29T05:29:06.000Z | src/ACC_Backend_Utils.py | skostic14/isda-racing-backend | 41b5f9760dc17a29aa8ab5e4cc1894a27496a72c | [
"Apache-2.0"
] | null | null | null | src/ACC_Backend_Utils.py | skostic14/isda-racing-backend | 41b5f9760dc17a29aa8ab5e4cc1894a27496a72c | [
"Apache-2.0"
] | null | null | null | import datetime
# Gets time from milliseconds
# Returns string formatted as HH:MM:SS:mmm, MM:SS:mmm or S:mmm, depending on the time.
def get_time_from_milliseconds(milli):
milliseconds = milli % 1000
seconds= (milli//1000)%60
minutes= (milli//(1000*60))%60
hours= (milli//(1000*60*60))%24
if hours... | 35.210526 | 87 | 0.651719 | 95 | 669 | 4.536842 | 0.442105 | 0.083527 | 0.076566 | 0.060325 | 0.143852 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085343 | 0.19432 | 669 | 19 | 88 | 35.210526 | 0.714286 | 0.230194 | 0 | 0 | 0 | 0 | 0.09375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0.076923 | 0.538462 | 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 |
6a961b6b72524b941aa7777c8c1e4c9ea87f76f0 | 2,721 | py | Python | examples/advanced/pidigits.py | ovolve/sympy | 0a15782f20505673466b940454b33b8014a25c13 | [
"BSD-3-Clause"
] | 3 | 2015-01-17T23:15:04.000Z | 2015-05-26T14:11:44.000Z | examples/advanced/pidigits.py | ovolve/sympy | 0a15782f20505673466b940454b33b8014a25c13 | [
"BSD-3-Clause"
] | 7 | 2015-03-23T23:33:02.000Z | 2019-02-09T00:19:41.000Z | examples/advanced/pidigits.py | ovolve/sympy | 0a15782f20505673466b940454b33b8014a25c13 | [
"BSD-3-Clause"
] | 1 | 2019-10-18T12:39:41.000Z | 2019-10-18T12:39:41.000Z | #!/usr/bin/env python
"""Pi digits example
Example shows arbitrary precision using mpmath with the
computation of the digits of pi.
"""
from mpmath import libmp, pi
from mpmath import functions as mpf_funs
import math
from time import clock
import sys
def display_fraction(digits, skip=0, colwidth=10, columns=5):
... | 30.233333 | 119 | 0.602352 | 374 | 2,721 | 4.323529 | 0.347594 | 0.024737 | 0.018553 | 0.022263 | 0.092764 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024863 | 0.260933 | 2,721 | 89 | 120 | 30.573034 | 0.779214 | 0.108416 | 0 | 0.134328 | 0 | 0.014925 | 0.170905 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059701 | false | 0 | 0.074627 | 0 | 0.134328 | 0.208955 | 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 |
6a97a004a7c418b0d32aaf5764a1c6b24a50f26a | 10,580 | py | Python | tempest/hacking/checks.py | rishabh20111990/tempest | df15531cd4231000b0da016f5cd8641523ce984e | [
"Apache-2.0"
] | 2 | 2015-08-13T00:07:49.000Z | 2020-08-07T06:38:44.000Z | tempest/hacking/checks.py | rishabh20111990/tempest | df15531cd4231000b0da016f5cd8641523ce984e | [
"Apache-2.0"
] | null | null | null | tempest/hacking/checks.py | rishabh20111990/tempest | df15531cd4231000b0da016f5cd8641523ce984e | [
"Apache-2.0"
] | 3 | 2016-08-30T06:53:54.000Z | 2021-03-22T16:54:39.000Z | # Copyright 2013 IBM Corp.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 31.963746 | 79 | 0.636578 | 1,338 | 10,580 | 4.85426 | 0.189088 | 0.047421 | 0.036952 | 0.015242 | 0.36736 | 0.288068 | 0.182448 | 0.162125 | 0.105158 | 0.091917 | 0 | 0.017672 | 0.261909 | 10,580 | 330 | 80 | 32.060606 | 0.814061 | 0.180246 | 0 | 0.356757 | 0 | 0 | 0.226009 | 0.061295 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086486 | false | 0 | 0.064865 | 0 | 0.302703 | 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 |
6a98547230e4cc83fa248137ca0fde09ebb67dcf | 1,018 | py | Python | data/train/python/6a98547230e4cc83fa248137ca0fde09ebb67dcfController.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/train/python/6a98547230e4cc83fa248137ca0fde09ebb67dcfController.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/train/python/6a98547230e4cc83fa248137ca0fde09ebb67dcfController.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | import SimpleXMLRPCServer
import sys
import logging
from K8055Controller import K8055Controller
logging.basicConfig()
controller_log = logging.getLogger("Controller")
class Controller:
def __init__(self):
self.k8055 = K8055Controller()
controller_log.debug("initialized")
def reset(s... | 24.829268 | 77 | 0.634578 | 118 | 1,018 | 5.322034 | 0.364407 | 0.085987 | 0.11465 | 0.044586 | 0.175159 | 0 | 0 | 0 | 0 | 0 | 0 | 0.067639 | 0.259332 | 1,018 | 41 | 78 | 24.829268 | 0.765252 | 0 | 0 | 0.125 | 0 | 0 | 0.068695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15625 | false | 0 | 0.125 | 0 | 0.4375 | 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 |
6a9a4141ccd8a77a2a296371f9b8eb6510494db4 | 1,487 | py | Python | tokendito/tool.py | pcmxgti/tokendito | c1672917b1b95e463c5bdf8e9c3c039189da8e42 | [
"Apache-2.0"
] | 40 | 2019-07-31T03:21:03.000Z | 2022-03-29T23:57:19.000Z | tokendito/tool.py | pcmxgti/tokendito | c1672917b1b95e463c5bdf8e9c3c039189da8e42 | [
"Apache-2.0"
] | 27 | 2019-08-07T06:40:15.000Z | 2022-03-21T18:46:49.000Z | tokendito/tool.py | pcmxgti/tokendito | c1672917b1b95e463c5bdf8e9c3c039189da8e42 | [
"Apache-2.0"
] | 16 | 2019-07-31T14:22:04.000Z | 2022-02-16T12:55:27.000Z | # vim: set filetype=python ts=4 sw=4
# -*- coding: utf-8 -*-
"""This module retrieves AWS credentials after authenticating with Okta."""
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
from future import standard_library
from tokendito import aws_helpers
from tokendit... | 31.638298 | 88 | 0.774042 | 190 | 1,487 | 5.784211 | 0.442105 | 0.029117 | 0.069154 | 0.076433 | 0.263876 | 0.216561 | 0.216561 | 0.10737 | 0 | 0 | 0 | 0.002414 | 0.164089 | 1,487 | 46 | 89 | 32.326087 | 0.881738 | 0.228648 | 0 | 0 | 0 | 0 | 0.090989 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0.038462 | 0.269231 | 0 | 0.307692 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a9c07074d315021100d6322a18c6bc3087be1db | 15,833 | py | Python | ir_datasets/formats/trec.py | cakiki/ir_datasets | 7f9f8e9ff62e49d40383220ecc2daa250695d267 | [
"Apache-2.0"
] | null | null | null | ir_datasets/formats/trec.py | cakiki/ir_datasets | 7f9f8e9ff62e49d40383220ecc2daa250695d267 | [
"Apache-2.0"
] | null | null | null | ir_datasets/formats/trec.py | cakiki/ir_datasets | 7f9f8e9ff62e49d40383220ecc2daa250695d267 | [
"Apache-2.0"
] | null | null | null | import io
import codecs
import tarfile
import re
import gzip
import xml.etree.ElementTree as ET
from fnmatch import fnmatch
from pathlib import Path
from typing import NamedTuple
import ir_datasets
from ir_datasets.indices import PickleLz4FullStore
from .base import GenericDoc, GenericQuery, GenericScoredDoc, BaseDocs,... | 38.429612 | 284 | 0.55978 | 1,860 | 15,833 | 4.52043 | 0.130108 | 0.02676 | 0.028306 | 0.022479 | 0.489653 | 0.442793 | 0.410442 | 0.393911 | 0.373335 | 0.354781 | 0 | 0.002943 | 0.334681 | 15,833 | 411 | 285 | 38.523114 | 0.795234 | 0.0108 | 0 | 0.439437 | 0 | 0.005634 | 0.077095 | 0.010731 | 0 | 0 | 0 | 0 | 0.005634 | 1 | 0.112676 | false | 0 | 0.033803 | 0.061972 | 0.312676 | 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 |
6a9c552700ad0a75cac33278ee8dc5a5139c2432 | 844 | py | Python | textpand/download.py | caufieldjh/textpand-for-kgs | 42853c53c5a4cc06fbd745c147d02fe7916690fa | [
"BSD-3-Clause"
] | 3 | 2021-12-10T21:13:47.000Z | 2021-12-10T23:36:18.000Z | textpand/download.py | caufieldjh/textpand-for-kgs | 42853c53c5a4cc06fbd745c147d02fe7916690fa | [
"BSD-3-Clause"
] | 1 | 2022-01-06T20:59:07.000Z | 2022-01-06T20:59:07.000Z | textpand/download.py | caufieldjh/textpand-for-kgs | 42853c53c5a4cc06fbd745c147d02fe7916690fa | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .utils import download_from_yaml
def download(output_dir: str, snippet_only: bool, ignore_cache: bool = False) -> None:
"""Downloads data files from list of URLs (default: download.yaml) into data directory (default: data/).
Args:
output_dir: A str... | 31.259259 | 108 | 0.625592 | 107 | 844 | 4.775701 | 0.523364 | 0.107632 | 0.062622 | 0.086106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003367 | 0.296209 | 844 | 26 | 109 | 32.461538 | 0.856902 | 0.491706 | 0 | 0 | 0 | 0 | 0.033079 | 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 |
6a9cb003c79f63e5985173912dffc928314248d4 | 6,770 | py | Python | venv/lib/python3.6/site-packages/ansible_collections/netapp/ontap/plugins/modules/na_ontap_autosupport_invoke.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_collections/netapp/ontap/plugins/modules/na_ontap_autosupport_invoke.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_collections/netapp/ontap/plugins/modules/na_ontap_autosupport_invoke.py | usegalaxy-no/usegalaxy | 75dad095769fe918eb39677f2c887e681a747f3a | [
"MIT"
] | null | null | null | #!/usr/bin/python
# (c) 2020, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
'''
na_ontap_autosupport_invoke
'''
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
's... | 34.365482 | 109 | 0.644018 | 816 | 6,770 | 5.121324 | 0.264706 | 0.034219 | 0.021536 | 0.022733 | 0.24001 | 0.152668 | 0.135918 | 0.116774 | 0.104092 | 0.056234 | 0 | 0.005343 | 0.253619 | 6,770 | 196 | 110 | 34.540816 | 0.82169 | 0.042393 | 0 | 0.167742 | 0 | 0 | 0.275793 | 0.030317 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045161 | false | 0.012903 | 0.045161 | 0 | 0.109677 | 0.006452 | 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 |
6a9cd0c545ed5aa451bbc0bc26a2e800d471ecd0 | 304 | py | Python | tests/api/serializer/test_user.py | armandomeeuwenoord/freight | 31ae2fa9252ab0b25385abd04742475e6671e3b1 | [
"Apache-2.0"
] | 562 | 2015-02-20T08:25:24.000Z | 2021-11-12T19:58:44.000Z | tests/api/serializer/test_user.py | armandomeeuwenoord/freight | 31ae2fa9252ab0b25385abd04742475e6671e3b1 | [
"Apache-2.0"
] | 129 | 2015-02-20T07:41:14.000Z | 2022-02-17T21:14:40.000Z | tests/api/serializer/test_user.py | armandomeeuwenoord/freight | 31ae2fa9252ab0b25385abd04742475e6671e3b1 | [
"Apache-2.0"
] | 54 | 2015-02-28T01:12:23.000Z | 2021-03-02T11:14:52.000Z | from freight.api.serializer import serialize
from freight.testutils import TestCase
class UserSerializerTest(TestCase):
def test_simple(self):
user = self.create_user()
result = serialize(user)
assert result["id"] == str(user.id)
assert result["name"] == user.name
| 25.333333 | 44 | 0.680921 | 36 | 304 | 5.694444 | 0.583333 | 0.107317 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.213816 | 304 | 11 | 45 | 27.636364 | 0.857741 | 0 | 0 | 0 | 0 | 0 | 0.019737 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a9cdc6c74a18d65dd44c9480dd5e3953a78dd18 | 1,639 | py | Python | binning/pozo_5m_class_dem.py | UP-RS-ESP/GEW-DAP04-WS201819 | 18341620d9168e1eec476af1d8f568cf0017bf56 | [
"MIT"
] | 2 | 2020-10-12T11:33:00.000Z | 2021-12-20T06:33:54.000Z | binning/pozo_5m_class_dem.py | UP-RS-ESP/GEW-DAP04-WS201819 | 18341620d9168e1eec476af1d8f568cf0017bf56 | [
"MIT"
] | null | null | null | binning/pozo_5m_class_dem.py | UP-RS-ESP/GEW-DAP04-WS201819 | 18341620d9168e1eec476af1d8f568cf0017bf56 | [
"MIT"
] | null | null | null | import sys
import numpy as np
from matplotlib import pyplot as pl
from rw import WriteGTiff
fn = '../pozo-steep-vegetated-pcl.npy'
pts = np.load(fn)
x, y, z, c = pts[:, 0], pts[:, 1], pts[:, 2], pts[:, 5]
ix = (0.2 * (x - x.min())).astype('int')
iy = (0.2 * (y - y.min())).astype('int')
shape = (100, 100)
xb = np.aran... | 30.351852 | 59 | 0.52349 | 287 | 1,639 | 2.916376 | 0.344948 | 0.021505 | 0.019116 | 0.021505 | 0.203106 | 0.160096 | 0.121864 | 0.076464 | 0 | 0 | 0 | 0.040765 | 0.266626 | 1,639 | 53 | 60 | 30.924528 | 0.655574 | 0 | 0 | 0 | 0 | 0 | 0.110433 | 0.064674 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.086957 | 0 | 0.086957 | 0.043478 | 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 |
6a9cfc593e93acc1f1c0f3afda04be08e714940c | 2,228 | py | Python | comtypes/_meta.py | phuslu/pyMSAA | 611bc4c31e0d6ba36f0f0bebdc6e6be14b994eb0 | [
"MIT"
] | 23 | 2015-05-28T15:31:35.000Z | 2022-02-16T07:51:34.000Z | comtypes/_meta.py | kar98kar/pyMSAA | 611bc4c31e0d6ba36f0f0bebdc6e6be14b994eb0 | [
"MIT"
] | 3 | 2020-05-19T03:00:52.000Z | 2020-11-03T09:22:51.000Z | comtypes/_meta.py | kar98kar/pyMSAA | 611bc4c31e0d6ba36f0f0bebdc6e6be14b994eb0 | [
"MIT"
] | 13 | 2016-08-26T23:00:40.000Z | 2022-03-03T09:58:36.000Z | # comtypes._meta helper module
from ctypes import POINTER, c_void_p, cast
import comtypes
################################################################
# metaclass for CoClass (in comtypes/__init__.py)
def _wrap_coclass(self):
# We are an IUnknown pointer, represented as a c_void_p instance,
# but... | 35.935484 | 85 | 0.601436 | 267 | 2,228 | 4.64794 | 0.389513 | 0.024174 | 0.029009 | 0.037067 | 0.038678 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001266 | 0.290844 | 2,228 | 61 | 86 | 36.52459 | 0.784177 | 0.342908 | 0 | 0.066667 | 0 | 0 | 0.056274 | 0.018251 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.033333 | 0.1 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6a9da9d2fe8534cba2998ec7d3c2190abe55abec | 5,190 | py | Python | deep_sdf/workspace.py | huajian1069/non-convex_optimisation | cf4cd5070524c3f7e6b814fe9b85a15a06e7b8db | [
"MIT"
] | 2 | 2020-10-12T19:22:50.000Z | 2021-08-21T21:48:27.000Z | deep_sdf/workspace.py | huajian1069/non-convex_optimisation | cf4cd5070524c3f7e6b814fe9b85a15a06e7b8db | [
"MIT"
] | 13 | 2020-04-17T09:07:06.000Z | 2020-07-25T19:43:44.000Z | deep_sdf/workspace.py | huajian1069/non-convex-optimisation | cf4cd5070524c3f7e6b814fe9b85a15a06e7b8db | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import json
import os
import torch
model_params_subdir = "ModelParameters"
optimizer_params_subdir = "OptimizerParameters"
latent_codes_subdir = "LatentCodes"
logs_filename = "Logs.pth"
reconstructions_subdir = "Reconstructions"
reconstruc... | 25.566502 | 82 | 0.7158 | 608 | 5,190 | 5.807566 | 0.205592 | 0.030586 | 0.031153 | 0.050977 | 0.464741 | 0.435004 | 0.337581 | 0.306429 | 0.29595 | 0.29595 | 0 | 0.001431 | 0.1921 | 5,190 | 202 | 83 | 25.693069 | 0.840687 | 0.014451 | 0 | 0.315385 | 0 | 0 | 0.110307 | 0.004498 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.030769 | 0.030769 | 0.238462 | 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 |
6a9e779e59feb114fa5c597307d0f0ba536c3a82 | 1,571 | py | Python | EmoPy/EmoPy/examples/convolutional_dropout_model.py | Rahmatullina/FinalYearProject | 326f521b9f600dbbc7ace2223bd5aafc79b2267c | [
"Apache-2.0"
] | null | null | null | EmoPy/EmoPy/examples/convolutional_dropout_model.py | Rahmatullina/FinalYearProject | 326f521b9f600dbbc7ace2223bd5aafc79b2267c | [
"Apache-2.0"
] | 9 | 2020-09-26T01:09:35.000Z | 2022-02-10T01:32:30.000Z | EmoPy/EmoPy/examples/convolutional_dropout_model.py | Rahmatullina/FinalYearProject | 326f521b9f600dbbc7ace2223bd5aafc79b2267c | [
"Apache-2.0"
] | null | null | null | from EmoPy.src.fermodel import FERModel
from EmoPy.src.directory_data_loader import DirectoryDataLoader
from EmoPy.src.csv_data_loader import CSVDataLoader
from EmoPy.src.data_generator import DataGenerator
from EmoPy.src.neuralnets import ConvolutionalNNDropout
from sklearn.model_selection import train_test_split
impo... | 38.317073 | 121 | 0.789306 | 200 | 1,571 | 5.915 | 0.385 | 0.038039 | 0.050719 | 0.037194 | 0.062553 | 0.062553 | 0.062553 | 0 | 0 | 0 | 0 | 0.011315 | 0.099936 | 1,571 | 40 | 122 | 39.275 | 0.825318 | 0.091661 | 0 | 0 | 0 | 0 | 0.122191 | 0.023174 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.275862 | 0 | 0.275862 | 0.172414 | 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 |
6a9f71d63576d36e576c5ed1a561ba09b6a33e88 | 45,622 | py | Python | deepstream_ignition_usb_yolo.py | valdivj/Deepstream-IGN-Maker-YOLO | f38ece731e9797a525da932c3da2de77e48f45af | [
"Unlicense"
] | 18 | 2021-02-09T11:07:57.000Z | 2022-03-16T12:35:34.000Z | deepstream_ignition_usb_yolo.py | valdivj/Deepstream-IGN-Maker-YOLO | f38ece731e9797a525da932c3da2de77e48f45af | [
"Unlicense"
] | null | null | null | deepstream_ignition_usb_yolo.py | valdivj/Deepstream-IGN-Maker-YOLO | f38ece731e9797a525da932c3da2de77e48f45af | [
"Unlicense"
] | 3 | 2021-02-11T00:23:56.000Z | 2021-11-16T02:15:37.000Z | #!/usr/bin/env python3
################################################################################
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),... | 46.410987 | 849 | 0.645829 | 5,676 | 45,622 | 5.037703 | 0.141473 | 0.039903 | 0.062321 | 0.033154 | 0.495524 | 0.41827 | 0.38585 | 0.351193 | 0.345632 | 0.326467 | 0 | 0.026393 | 0.242602 | 45,622 | 982 | 850 | 46.458248 | 0.801123 | 0.260883 | 0 | 0.109855 | 0 | 0 | 0.134868 | 0.002756 | 0 | 0 | 0 | 0.001018 | 0 | 1 | 0.012924 | false | 0.004847 | 0.021002 | 0 | 0.090469 | 0.051696 | 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 |
6a9fcd8ecc089595a2ffc3a48b4ee67000ac218d | 799 | py | Python | src/pyams_i18n/tests/__init__.py | Py-AMS/pyams-i18n | dbb3953302311977653145385af02e4d1ae41431 | [
"ZPL-2.1"
] | null | null | null | src/pyams_i18n/tests/__init__.py | Py-AMS/pyams-i18n | dbb3953302311977653145385af02e4d1ae41431 | [
"ZPL-2.1"
] | null | null | null | src/pyams_i18n/tests/__init__.py | Py-AMS/pyams-i18n | dbb3953302311977653145385af02e4d1ae41431 | [
"ZPL-2.1"
] | null | null | null | #
# Copyright (c) 2015-2019 Thierry Florac <tflorac AT ulthar.net>
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRAN... | 26.633333 | 75 | 0.740926 | 116 | 799 | 5.008621 | 0.681034 | 0.086059 | 0.048193 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019817 | 0.178974 | 799 | 29 | 76 | 27.551724 | 0.865854 | 0.664581 | 0 | 0 | 0 | 0 | 0.065306 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6aa02482ee4345f8d62c98b8785e029ed85945dd | 1,639 | py | Python | tqsdk/demo/example/momentum.py | boyscout2008/tqsdk-python | 79496a938a44f79ea9164569637509d0cc7db70a | [
"Apache-2.0"
] | null | null | null | tqsdk/demo/example/momentum.py | boyscout2008/tqsdk-python | 79496a938a44f79ea9164569637509d0cc7db70a | [
"Apache-2.0"
] | null | null | null | tqsdk/demo/example/momentum.py | boyscout2008/tqsdk-python | 79496a938a44f79ea9164569637509d0cc7db70a | [
"Apache-2.0"
] | 1 | 2020-11-20T01:19:11.000Z | 2020-11-20T01:19:11.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "Ringo"
'''
价格动量 策略 (难度:初级)
参考: https://www.shinnytech.com/blog/momentum-strategy/
注: 该示例策略仅用于功能示范, 实盘时请根据自己的策略/经验进行修改
'''
from tqsdk import TqAccount, TqApi, TargetPosTask
# 设置指定合约,获取N条K线计算价格动量
SYMBOL = "SHFE.au1912"
N = 15
api = TqApi()
klines = api.get_... | 26.015873 | 90 | 0.621721 | 216 | 1,639 | 4.560185 | 0.523148 | 0.040609 | 0.036548 | 0.054822 | 0.117767 | 0.054822 | 0 | 0 | 0 | 0 | 0 | 0.064673 | 0.245272 | 1,639 | 62 | 91 | 26.435484 | 0.731609 | 0.145821 | 0 | 0.058824 | 0 | 0 | 0.065882 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.029412 | 0 | 0.088235 | 0.147059 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6aa1d7c9f54267d6e42717a153600f7e111a7f9f | 10,323 | py | Python | color_transfer/__init__.py | AdamSpannbauer/color_transfer | 155e0134615f35bf19bf32f4cacf056603604914 | [
"MIT"
] | null | null | null | color_transfer/__init__.py | AdamSpannbauer/color_transfer | 155e0134615f35bf19bf32f4cacf056603604914 | [
"MIT"
] | null | null | null | color_transfer/__init__.py | AdamSpannbauer/color_transfer | 155e0134615f35bf19bf32f4cacf056603604914 | [
"MIT"
] | 1 | 2020-11-05T17:35:14.000Z | 2020-11-05T17:35:14.000Z | # import the necessary packages
import numpy as np
import cv2
import imutils
def color_transfer(source, target, clip=True, preserve_paper=True):
"""
Transfers the color distribution from the source to the target
image using the mean and standard deviations of the L*a*b*
color space.
This implemen... | 36.477032 | 105 | 0.657173 | 1,447 | 10,323 | 4.569454 | 0.213545 | 0.040835 | 0.048699 | 0.025408 | 0.277374 | 0.202511 | 0.161978 | 0.161978 | 0.156534 | 0.148367 | 0 | 0.032266 | 0.252446 | 10,323 | 282 | 106 | 36.606383 | 0.824543 | 0.473215 | 0 | 0.163462 | 0 | 0 | 0.013559 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067308 | false | 0 | 0.028846 | 0.009615 | 0.163462 | 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 |
6aa21222a53d441e6c157bad6965004f0771b6e4 | 250 | py | Python | Python/Tree/TestCreateTreeLibraryImport.py | zseen/hackerrank-challenges | c154f039f58073ee3d94d012462c7055e68784b2 | [
"MIT"
] | null | null | null | Python/Tree/TestCreateTreeLibraryImport.py | zseen/hackerrank-challenges | c154f039f58073ee3d94d012462c7055e68784b2 | [
"MIT"
] | null | null | null | Python/Tree/TestCreateTreeLibraryImport.py | zseen/hackerrank-challenges | c154f039f58073ee3d94d012462c7055e68784b2 | [
"MIT"
] | null | null | null | from Library.CreateATree import CreateATree
tree = CreateATree.BinarySearchTree()
nodesList = list((4, 5, 1, 3, 2))
for i in range(0, len(nodesList)):
tree.insert(nodesList[i])
#tree.printInorder()
tree.printPreorder()
#tree.printPostorder()
| 19.230769 | 43 | 0.732 | 32 | 250 | 5.71875 | 0.71875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027397 | 0.124 | 250 | 12 | 44 | 20.833333 | 0.808219 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.166667 | 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 |
6aa25f7e4d64679c81ca1e60dffb6ddf922f9c4c | 522 | py | Python | application/siteApp/urls.py | Marcelotsvaz/vaz-projects | 8ccc0bf8d25f9276714e1e5ecb0a4e80f07442b4 | [
"Unlicense"
] | null | null | null | application/siteApp/urls.py | Marcelotsvaz/vaz-projects | 8ccc0bf8d25f9276714e1e5ecb0a4e80f07442b4 | [
"Unlicense"
] | null | null | null | application/siteApp/urls.py | Marcelotsvaz/vaz-projects | 8ccc0bf8d25f9276714e1e5ecb0a4e80f07442b4 | [
"Unlicense"
] | null | null | null | #
# VAZ Projects
#
#
# Author: Marcelo Tellier Sartori Vaz <marcelotsvaz@gmail.com>
from django.urls import path
from . import views
app_name = 'siteApp'
urlpatterns = [
path( '', views.Home.as_view(), name = 'home' ),
path( 'about-me', views.About_me.as_view(), name = 'about_me' ),
path( 'searc... | 23.727273 | 77 | 0.628352 | 68 | 522 | 4.705882 | 0.426471 | 0.09375 | 0.15625 | 0.10625 | 0.19375 | 0.19375 | 0.19375 | 0 | 0 | 0 | 0 | 0 | 0.189655 | 522 | 22 | 78 | 23.727273 | 0.756501 | 0.143678 | 0 | 0 | 0 | 0 | 0.192744 | 0.049887 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 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 |
6aa2cafc9ca0f9283336142e3b81fea44a3587b3 | 1,286 | py | Python | Classes/ServiceBase.py | tkeske/SMS-Fetcher | 7b3ec0ea4517ad11164b8e2d7ee2c60d2a9f0ed2 | [
"BSD-3-Clause"
] | null | null | null | Classes/ServiceBase.py | tkeske/SMS-Fetcher | 7b3ec0ea4517ad11164b8e2d7ee2c60d2a9f0ed2 | [
"BSD-3-Clause"
] | null | null | null | Classes/ServiceBase.py | tkeske/SMS-Fetcher | 7b3ec0ea4517ad11164b8e2d7ee2c60d2a9f0ed2 | [
"BSD-3-Clause"
] | null | null | null | '''
@author Tomáš Keske
@since 10.8.2019
'''
import sys
from jnius import autoclass
from Conf.Conf import *
class ServiceBase():
def __init__(self):
PythonServiceClass = autoclass('org.kivy.android.PythonService')
self.Context = autoclass('android.content.Context')
self.Service = Python... | 32.15 | 98 | 0.667963 | 159 | 1,286 | 5.377358 | 0.603774 | 0.009357 | 0.011696 | 0.016374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008197 | 0.241058 | 1,286 | 40 | 99 | 32.15 | 0.867828 | 0.301711 | 0 | 0 | 0 | 0 | 0.171558 | 0.059819 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.15 | 0 | 0.3 | 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 |
6aa359b860399eb8f9859835f9d9ac0f53b4de56 | 723 | py | Python | api/queue/__init__.py | sofia008/api-redis-queue | 8d65665c8a9f44990565baa8c7ba43d7f01425d3 | [
"Apache-2.0"
] | null | null | null | api/queue/__init__.py | sofia008/api-redis-queue | 8d65665c8a9f44990565baa8c7ba43d7f01425d3 | [
"Apache-2.0"
] | null | null | null | api/queue/__init__.py | sofia008/api-redis-queue | 8d65665c8a9f44990565baa8c7ba43d7f01425d3 | [
"Apache-2.0"
] | null | null | null | # api/queue/__init__.py
import os
from flask import Flask
from flask_bootstrap import Bootstrap
# instantiate the extensions
bootstrap = Bootstrap()
def create_app(script_info=None):
# instantiate the app
app = Flask(
__name__,
template_folder="../client/templates",
static_folder=... | 19.026316 | 51 | 0.697095 | 89 | 723 | 5.404494 | 0.47191 | 0.037422 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.214385 | 723 | 37 | 52 | 19.540541 | 0.846831 | 0.200553 | 0 | 0 | 0 | 0 | 0.087719 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.235294 | 0 | 0.352941 | 0.117647 | 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 |
6aa447f55a379751c7664d4eb5818450b99462c4 | 2,183 | py | Python | tests/test_engine.py | Foxboron/python-adblock | 50b2ddba9f7b237b38c848c7d4a1637917444924 | [
"Apache-2.0",
"MIT"
] | 35 | 2020-06-26T21:06:13.000Z | 2022-03-19T10:50:35.000Z | tests/test_engine.py | Foxboron/python-adblock | 50b2ddba9f7b237b38c848c7d4a1637917444924 | [
"Apache-2.0",
"MIT"
] | 34 | 2020-04-27T02:59:40.000Z | 2022-03-06T20:55:00.000Z | tests/test_engine.py | Foxboron/python-adblock | 50b2ddba9f7b237b38c848c7d4a1637917444924 | [
"Apache-2.0",
"MIT"
] | 6 | 2020-12-22T21:56:02.000Z | 2022-02-16T02:13:21.000Z | import adblock
import pytest
SMALL_FILTER_LIST = """
||wikipedia.org^
||old.reddit.com^
||lobste.rs^
"""
def empty_engine():
return adblock.Engine(adblock.FilterSet())
def test_engine_creation_and_blocking():
filter_set = adblock.FilterSet(debug=True)
filter_set.add_filter_list(SMALL_FILTER_LIST)
e... | 29.106667 | 78 | 0.724233 | 259 | 2,183 | 5.864865 | 0.366795 | 0.050691 | 0.04345 | 0.045425 | 0.267281 | 0.154049 | 0.154049 | 0 | 0 | 0 | 0 | 0.005008 | 0.176821 | 2,183 | 74 | 79 | 29.5 | 0.840289 | 0.045809 | 0 | 0.148148 | 0 | 0 | 0.101442 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 1 | 0.092593 | false | 0 | 0.037037 | 0.018519 | 0.148148 | 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 |
6aa55947380a65f7c24093ff3b3feee2ac3b5948 | 1,048 | py | Python | data_structures/stack/largest_rectangle_area_in_histogram.py | ruler30cm/python-ds | f84605c5b746ea1d46de3d00b86f5fba399445c7 | [
"MIT"
] | 1,723 | 2019-07-30T07:06:22.000Z | 2022-03-31T15:22:22.000Z | data_structures/stack/largest_rectangle_area_in_histogram.py | ruler30cm/python-ds | f84605c5b746ea1d46de3d00b86f5fba399445c7 | [
"MIT"
] | 213 | 2019-10-06T08:07:47.000Z | 2021-10-04T15:38:36.000Z | data_structures/stack/largest_rectangle_area_in_histogram.py | ruler30cm/python-ds | f84605c5b746ea1d46de3d00b86f5fba399445c7 | [
"MIT"
] | 628 | 2019-10-06T10:26:25.000Z | 2022-03-31T01:41:00.000Z | '''
Largest rectangle area in a histogram::
Find the largest rectangular area possible in a given histogram where the largest rectangle can be made of a number of contiguous bars.
For simplicity, assume that all bars have same width and the width is 1 unit.
'''
def max_area_histogram(histogram):
stack = list()... | 28.324324 | 136 | 0.603053 | 147 | 1,048 | 4.176871 | 0.380952 | 0.102606 | 0.065147 | 0.04886 | 0.29316 | 0.29316 | 0.29316 | 0.29316 | 0.29316 | 0.29316 | 0 | 0.021651 | 0.294847 | 1,048 | 36 | 137 | 29.111111 | 0.809202 | 0.262405 | 0 | 0.3 | 0 | 0 | 0.019634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0 | 0 | 0.1 | 0.05 | 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 |
6aa72ed7ab8eb40be3928ae652b97a0368992b42 | 2,389 | py | Python | auth_backend/src/key_op.py | cispa/bitahoy | ffc2004930a033cfb94d13671bc6068b473ce226 | [
"MIT"
] | null | null | null | auth_backend/src/key_op.py | cispa/bitahoy | ffc2004930a033cfb94d13671bc6068b473ce226 | [
"MIT"
] | null | null | null | auth_backend/src/key_op.py | cispa/bitahoy | ffc2004930a033cfb94d13671bc6068b473ce226 | [
"MIT"
] | 2 | 2021-12-30T16:48:15.000Z | 2022-01-14T14:21:15.000Z | import sys
import os
import psycopg2
import base64
from cryptography.hazmat.primitives import serialization, hashes
from cryptography.hazmat.primitives.asymmetric import padding, rsa
from cryptography.hazmat.backends import default_backend
import time
if len(sys.argv) < 2:
print("Please enter either create or rem... | 45.942308 | 184 | 0.637505 | 286 | 2,389 | 5.251748 | 0.363636 | 0.051931 | 0.043941 | 0.04261 | 0.573901 | 0.573901 | 0.573901 | 0.573901 | 0.573901 | 0.573901 | 0 | 0.022124 | 0.243198 | 2,389 | 52 | 185 | 45.942308 | 0.808628 | 0.029301 | 0 | 0.342105 | 0 | 0 | 0.249784 | 0.009922 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.210526 | 0 | 0.210526 | 0.157895 | 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 |
6aa93bd0cfbc5bae7eaa0365dd95b7de863c0e17 | 653 | py | Python | scripts/issue_param_value.py | Jhsmit/awesome-panel-extensions | 41eba7cf84caa911be4ed0df2a96e16fc1e70263 | [
"CC-BY-4.0"
] | 3 | 2020-07-16T07:28:45.000Z | 2020-07-17T12:53:56.000Z | scripts/issue_param_value.py | MarcSkovMadsen/panel-extensions-template | f41ad8d8fb8502f87de3a4992917cbffb6299012 | [
"CC-BY-4.0"
] | null | null | null | scripts/issue_param_value.py | MarcSkovMadsen/panel-extensions-template | f41ad8d8fb8502f87de3a4992917cbffb6299012 | [
"CC-BY-4.0"
] | null | null | null | import panel as pn
import param
from awesome_panel_extensions.frameworks.fast import FastTemplate, FastTextInput
WIDGETS = {
"some_text": {"type": FastTextInput, "readonly": True, "sizing_mode": "fixed", "width": 400}
}
class ParameterizedApp(param.Parameterized):
some_text = param.String(default="This is s... | 27.208333 | 96 | 0.735069 | 73 | 653 | 6.328767 | 0.589041 | 0.069264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005338 | 0.139357 | 653 | 23 | 97 | 28.391304 | 0.816726 | 0 | 0 | 0 | 0 | 0 | 0.104135 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.2 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6aab6b3ba732d64220b4fb1bf6b4cc739254d1fe | 1,019 | py | Python | tests/pm/update_sla.py | supsi-dacd-isaac/parity-sidechain-interface | b64a5fb724955332afb4998344081d1b93ac216a | [
"MIT"
] | null | null | null | tests/pm/update_sla.py | supsi-dacd-isaac/parity-sidechain-interface | b64a5fb724955332afb4998344081d1b93ac216a | [
"MIT"
] | null | null | null | tests/pm/update_sla.py | supsi-dacd-isaac/parity-sidechain-interface | b64a5fb724955332afb4998344081d1b93ac216a | [
"MIT"
] | null | null | null | # Importing section
import json
import requests
import argparse
import hashlib
import time
from http import HTTPStatus
# Main
if __name__ == "__main__":
arg_parser = argparse.ArgumentParser()
args = arg_parser.parse_args()
set_cmd = 'updateSla'
params = {
'idx': 'sla04',
... | 24.261905 | 80 | 0.617272 | 132 | 1,019 | 4.590909 | 0.5 | 0.046205 | 0.049505 | 0.066007 | 0.122112 | 0.122112 | 0.122112 | 0.122112 | 0.122112 | 0.122112 | 0 | 0.02474 | 0.24632 | 1,019 | 41 | 81 | 24.853659 | 0.764323 | 0.088322 | 0 | 0.142857 | 0 | 0 | 0.223784 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 0.178571 | 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 |
6aac1f4d092634d65b03e7c6699787370a84bac7 | 498 | py | Python | array/python3/5_move_all_negative_elements.py | jitendragangwar123/cp | 8d9da1abd841784da8304e7ebb64a6b94cb804bb | [
"MIT"
] | null | null | null | array/python3/5_move_all_negative_elements.py | jitendragangwar123/cp | 8d9da1abd841784da8304e7ebb64a6b94cb804bb | [
"MIT"
] | 1 | 2020-12-12T19:09:01.000Z | 2020-12-12T19:09:01.000Z | array/python3/5_move_all_negative_elements.py | jitendragangwar123/cp | 8d9da1abd841784da8304e7ebb64a6b94cb804bb | [
"MIT"
] | 1 | 2020-12-12T18:36:24.000Z | 2020-12-12T18:36:24.000Z | def sort(arr):
# Start index 0.
start = 0
# End index
end = len(arr)-1
while start <= end:
# Swap all positive value with last index end & decrease end by 1.
if arr[start] >= 0:
arr[start], arr[end] = arr[end], arr[start]
end -= 1
else:
# ... | 23.714286 | 74 | 0.5 | 74 | 498 | 3.256757 | 0.472973 | 0.165975 | 0.082988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05414 | 0.369478 | 498 | 20 | 75 | 24.9 | 0.713376 | 0.291165 | 0 | 0 | 0 | 0 | 0.022989 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.076923 | 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 |
6aac551e77cffa8d22df81867eace49a7797fd1d | 1,199 | py | Python | misc.py | hldai/wikiprocesspy | 788ccb6f0e0e54a7322863d5a13332635afc240d | [
"MIT"
] | null | null | null | misc.py | hldai/wikiprocesspy | 788ccb6f0e0e54a7322863d5a13332635afc240d | [
"MIT"
] | null | null | null | misc.py | hldai/wikiprocesspy | 788ccb6f0e0e54a7322863d5a13332635afc240d | [
"MIT"
] | null | null | null | import json
def __text_from_anchor_sents_file(anchor_sents_file, output_file):
f = open(anchor_sents_file, encoding='utf-8')
fout = open(output_file, 'w', encoding='utf-8', newline='\n')
for i, line in enumerate(f):
sent = json.loads(line)
fout.write('{}\n'.format(sent['tokens']))
... | 35.264706 | 118 | 0.686405 | 186 | 1,199 | 4.188172 | 0.27957 | 0.141207 | 0.115533 | 0.061617 | 0.441592 | 0.382542 | 0.382542 | 0.382542 | 0.382542 | 0.382542 | 0 | 0.042 | 0.165972 | 1,199 | 33 | 119 | 36.333333 | 0.737 | 0.120934 | 0 | 0.272727 | 0 | 0.136364 | 0.287893 | 0.253575 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.045455 | 0 | 0.136364 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6aad4ce5dfa92a930b5b7dfb6e85c80cb8498743 | 2,833 | py | Python | neural_toolbox/inception.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | neural_toolbox/inception.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | neural_toolbox/inception.py | ibrahimSouleiman/GuessWhat | 60d140de1aae5ccda27e7d3eef2b9fb9548f0854 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import tensorflow.contrib.slim as slim
import tensorflow.contrib.slim.python.slim.nets.resnet_v1 as resnet_v1
import tensorflow.contrib.slim.python.slim.nets.inception_v1 as inception_v1
import tensorflow.contrib.slim.python.slim.nets.resnet_utils as slim_utils
from tensorflow.contrib import l... | 36.320513 | 143 | 0.676668 | 378 | 2,833 | 4.857143 | 0.330688 | 0.034858 | 0.050109 | 0.058824 | 0.123094 | 0.123094 | 0.075708 | 0.075708 | 0 | 0 | 0 | 0.027953 | 0.217084 | 2,833 | 77 | 144 | 36.792208 | 0.79982 | 0.487116 | 0 | 0 | 0 | 0 | 0.035793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.296296 | 0 | 0.444444 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6aad74ee52655f68220f799efaffcbccdd0748ad | 6,133 | py | Python | timm/utils/checkpoint_saver.py | Robert-JunWang/pytorch-image-models | 7c67d6aca992f039eece0af5f7c29a43d48c00e4 | [
"Apache-2.0"
] | 17,769 | 2019-05-02T08:08:25.000Z | 2022-03-31T22:14:44.000Z | timm/utils/checkpoint_saver.py | jonychoi/pytorch-image-models | e4360e6125bb0bb4279785810c8eb33b40af3ebd | [
"Apache-2.0"
] | 556 | 2019-05-26T16:31:37.000Z | 2022-03-30T04:21:07.000Z | timm/utils/checkpoint_saver.py | jonychoi/pytorch-image-models | e4360e6125bb0bb4279785810c8eb33b40af3ebd | [
"Apache-2.0"
] | 3,029 | 2019-05-14T01:18:28.000Z | 2022-03-31T20:09:50.000Z | """ Checkpoint Saver
Track top-n training checkpoints and maintain recovery checkpoints on specified intervals.
Hacked together by / Copyright 2020 Ross Wightman
"""
import glob
import operator
import os
import logging
import torch
from .model import unwrap_model, get_state_dict
_logger = logging.getLogger(__nam... | 40.615894 | 104 | 0.626121 | 767 | 6,133 | 4.762712 | 0.191656 | 0.04599 | 0.072817 | 0.03285 | 0.261429 | 0.164796 | 0.121544 | 0.095812 | 0 | 0 | 0 | 0.004531 | 0.280287 | 6,133 | 150 | 105 | 40.886667 | 0.823063 | 0.073863 | 0 | 0.04878 | 0 | 0 | 0.044492 | 0 | 0 | 0 | 0 | 0 | 0.02439 | 1 | 0.04878 | false | 0 | 0.04878 | 0 | 0.130081 | 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 |
6aad9dd74183fdbafeb45c7c06a4bb4ab92534aa | 292 | py | Python | AGC004/AGC004a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | AGC004/AGC004a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | AGC004/AGC004a.py | VolgaKurvar/AtCoder | 21acb489f1594bbb1cdc64fbf8421d876b5b476d | [
"Unlicense"
] | null | null | null | # AGC004a
def main():
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10**6)
a, b, c = map(int, input().split())
if a % 2 == 0 or b % 2 == 0 or c % 2 == 0:
print(0)
exit(0)
print(min(a*b, b*c, c*a))
if __name__ == '__main__':
main()
| 18.25 | 46 | 0.506849 | 48 | 292 | 2.916667 | 0.520833 | 0.042857 | 0.057143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.069652 | 0.311644 | 292 | 15 | 47 | 19.466667 | 0.626866 | 0.023973 | 0 | 0 | 0 | 0 | 0.028269 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.181818 | 0.181818 | 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 |
6ab135f81cd0354b89240b44a37bacfa732bfab3 | 13,664 | py | Python | qcore/asserts.py | corey-sobel/qcore | 719a44617789e3cc384ce860031d9479ee0877e4 | [
"Apache-2.0"
] | 1 | 2022-01-31T23:15:48.000Z | 2022-01-31T23:15:48.000Z | qcore/asserts.py | corey-sobel/qcore | 719a44617789e3cc384ce860031d9479ee0877e4 | [
"Apache-2.0"
] | null | null | null | qcore/asserts.py | corey-sobel/qcore | 719a44617789e3cc384ce860031d9479ee0877e4 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Quora, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, so... | 34.592405 | 100 | 0.640222 | 1,733 | 13,664 | 4.875361 | 0.171379 | 0.039768 | 0.040241 | 0.056811 | 0.464079 | 0.420168 | 0.405018 | 0.378861 | 0.352823 | 0.347852 | 0 | 0.00286 | 0.257904 | 13,664 | 394 | 101 | 34.680203 | 0.830375 | 0.259368 | 0 | 0.233333 | 0 | 0.004167 | 0.116202 | 0.010372 | 0 | 0 | 0 | 0 | 0.3625 | 1 | 0.1 | false | 0.004167 | 0.008333 | 0.004167 | 0.15 | 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 |
6ab21446cecd0d46b1a47275470353f326cec4d7 | 6,318 | py | Python | src/python/pants/core/goals/check_test.py | yoav-orca/pants | 995448e9add343975844c7a43d5d64618fc4e4d9 | [
"Apache-2.0"
] | 1,806 | 2015-01-05T07:31:00.000Z | 2022-03-31T11:35:41.000Z | src/python/pants/core/goals/check_test.py | yoav-orca/pants | 995448e9add343975844c7a43d5d64618fc4e4d9 | [
"Apache-2.0"
] | 9,565 | 2015-01-02T19:01:59.000Z | 2022-03-31T23:25:16.000Z | src/python/pants/core/goals/check_test.py | riisi/pants | b33327389fab67c47b919710ea32f20ca284b1a6 | [
"Apache-2.0"
] | 443 | 2015-01-06T20:17:57.000Z | 2022-03-31T05:28:17.000Z | # Copyright 2020 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from abc import ABCMeta, abstractmethod
from pathlib import Path
from textwrap import dedent
from typing import ClassVar, Iterable, List, Optional, Tuple, Type
from pants.core.goals.check... | 28.459459 | 99 | 0.650681 | 615 | 6,318 | 6.495935 | 0.273171 | 0.030038 | 0.016521 | 0.028786 | 0.198999 | 0.182728 | 0.138924 | 0.126909 | 0.094118 | 0.052065 | 0 | 0.007407 | 0.252137 | 6,318 | 221 | 100 | 28.588235 | 0.83746 | 0.019943 | 0 | 0.212329 | 0 | 0 | 0.04019 | 0.004914 | 0 | 0 | 0 | 0 | 0.089041 | 1 | 0.109589 | false | 0.013699 | 0.089041 | 0.034247 | 0.410959 | 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 |
6ab219191a7ea6ce5d831e0b7655a8775e4ac26e | 9,851 | py | Python | data-processing/entities/definitions/model/utils.py | alexkreidler/scholarphi | 86d26d0bfa5ded00760fba1a9c6891a94a3dd6d2 | [
"Apache-2.0"
] | null | null | null | data-processing/entities/definitions/model/utils.py | alexkreidler/scholarphi | 86d26d0bfa5ded00760fba1a9c6891a94a3dd6d2 | [
"Apache-2.0"
] | null | null | null | data-processing/entities/definitions/model/utils.py | alexkreidler/scholarphi | 86d26d0bfa5ded00760fba1a9c6891a94a3dd6d2 | [
"Apache-2.0"
] | 1 | 2020-10-23T12:36:11.000Z | 2020-10-23T12:36:11.000Z | import os
import random
from typing import Any, Dict, List, Union
import numpy as np
import torch
from colorama import Fore, Style
from sklearn.metrics import f1_score
from sklearn.metrics import precision_recall_fscore_support as score
from sklearn.metrics import precision_score, recall_score
def highlight(input_: ... | 35.952555 | 376 | 0.66308 | 1,418 | 9,851 | 4.35402 | 0.158674 | 0.024943 | 0.017817 | 0.028345 | 0.360382 | 0.298996 | 0.241173 | 0.232588 | 0.168772 | 0.167315 | 0 | 0.004346 | 0.229114 | 9,851 | 273 | 377 | 36.084249 | 0.808665 | 0.132575 | 0 | 0.230392 | 0 | 0 | 0.072094 | 0.023953 | 0 | 0 | 0 | 0 | 0.029412 | 1 | 0.063725 | false | 0 | 0.044118 | 0.019608 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ab2ef53d9a0815c477ae2435981a3a0029d019b | 11,463 | py | Python | fire/trace.py | nvhoang55/python-fire | b78287f6d68208732ca4d91e57f4678e6c4747c7 | [
"Apache-2.0"
] | null | null | null | fire/trace.py | nvhoang55/python-fire | b78287f6d68208732ca4d91e57f4678e6c4747c7 | [
"Apache-2.0"
] | null | null | null | fire/trace.py | nvhoang55/python-fire | b78287f6d68208732ca4d91e57f4678e6c4747c7 | [
"Apache-2.0"
] | 1 | 2022-01-17T08:35:09.000Z | 2022-01-17T08:35:09.000Z | # Copyright (C) 2018 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 36.275316 | 84 | 0.640932 | 1,400 | 11,463 | 5.19 | 0.22 | 0.009634 | 0.008258 | 0.011698 | 0.21346 | 0.164327 | 0.139004 | 0.127168 | 0.113955 | 0.106524 | 0 | 0.002093 | 0.291547 | 11,463 | 315 | 85 | 36.390476 | 0.892624 | 0.449795 | 0 | 0.186667 | 0 | 0 | 0.034761 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146667 | false | 0 | 0.033333 | 0.026667 | 0.3 | 0.006667 | 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 |
6ab36187809db9e1ba202abbdfa4e21a0d5b6dfb | 33,549 | py | Python | test/unit/__init__.py | thiagodasilva/swift | 0553d9333ed0045c4d209065b315533a33e5d7d7 | [
"Apache-2.0"
] | null | null | null | test/unit/__init__.py | thiagodasilva/swift | 0553d9333ed0045c4d209065b315533a33e5d7d7 | [
"Apache-2.0"
] | null | null | null | test/unit/__init__.py | thiagodasilva/swift | 0553d9333ed0045c4d209065b315533a33e5d7d7 | [
"Apache-2.0"
] | null | null | null | # 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... | 32.104306 | 79 | 0.592924 | 4,079 | 33,549 | 4.703849 | 0.177004 | 0.013759 | 0.007505 | 0.007818 | 0.147965 | 0.092458 | 0.068171 | 0.04232 | 0.026372 | 0.016782 | 0 | 0.011366 | 0.307669 | 33,549 | 1,044 | 80 | 32.135057 | 0.814698 | 0.1561 | 0 | 0.182442 | 0 | 0 | 0.063651 | 0.005997 | 0 | 0 | 0 | 0 | 0.001372 | 1 | 0.128944 | false | 0.013717 | 0.049383 | 0.021948 | 0.29904 | 0.004115 | 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 |
6ab3a62e50f821717cc617bcae69096621bae1d3 | 10,138 | py | Python | fairseq/models/bart/model.py | samsontmr/fairseq | 1d50b6dcd961faaa74ee32e9d7a02ff76f16ab87 | [
"MIT"
] | 172 | 2019-08-22T14:20:25.000Z | 2022-02-16T07:38:12.000Z | fairseq/models/bart/model.py | samsontmr/fairseq | 1d50b6dcd961faaa74ee32e9d7a02ff76f16ab87 | [
"MIT"
] | 3 | 2019-08-30T11:56:15.000Z | 2020-10-02T13:57:49.000Z | fairseq/models/bart/model.py | samsontmr/fairseq | 1d50b6dcd961faaa74ee32e9d7a02ff76f16ab87 | [
"MIT"
] | 8 | 2019-10-15T04:36:43.000Z | 2020-10-21T01:50:09.000Z | # 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.
"""
BART: Denoising Sequence-to-Sequence Pre-training for
Natural Language Generation, Translation, and Comprehension
"""
import torch.nn as n... | 41.044534 | 111 | 0.641251 | 1,187 | 10,138 | 5.192923 | 0.20219 | 0.053537 | 0.044776 | 0.015412 | 0.232966 | 0.15623 | 0.115509 | 0.072356 | 0.034718 | 0.034718 | 0 | 0.00666 | 0.25942 | 10,138 | 246 | 112 | 41.211382 | 0.814331 | 0.054843 | 0 | 0.154229 | 0 | 0.004975 | 0.169195 | 0.046981 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054726 | false | 0 | 0.034826 | 0.00995 | 0.124378 | 0.024876 | 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 |
6ab4adb92969b15eb2c974889f086f66aef842c0 | 3,351 | py | Python | tb_plugin/torch_tb_profiler/profiler/trace.py | azhou-determined/kineto | 46ed0ce917c1515db29c39cd87b0c5430f5be94e | [
"BSD-3-Clause"
] | null | null | null | tb_plugin/torch_tb_profiler/profiler/trace.py | azhou-determined/kineto | 46ed0ce917c1515db29c39cd87b0c5430f5be94e | [
"BSD-3-Clause"
] | null | null | null | tb_plugin/torch_tb_profiler/profiler/trace.py | azhou-determined/kineto | 46ed0ce917c1515db29c39cd87b0c5430f5be94e | [
"BSD-3-Clause"
] | 2 | 2021-08-12T08:00:41.000Z | 2021-08-20T03:41:03.000Z | # -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# --------------------------------------------------------------------------
from enum import IntEnum
from .. import utils
__all__ = ["EventTypes", "create_event"]
logger = utils.ge... | 27.925 | 122 | 0.578036 | 386 | 3,351 | 4.873057 | 0.297927 | 0.042531 | 0.052632 | 0.038278 | 0.164274 | 0.109516 | 0.082935 | 0.0521 | 0.0521 | 0.0521 | 0 | 0.001608 | 0.257535 | 3,351 | 119 | 123 | 28.159664 | 0.754421 | 0.087437 | 0 | 0.217391 | 0 | 0 | 0.098296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.141304 | false | 0 | 0.021739 | 0.043478 | 0.478261 | 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 |
6ab57006541d451df413f174cce8e16652508bf7 | 1,399 | py | Python | indexclient/parsers/info.py | uc-cdis/indexclient | 5d61bdb2cb9c0104f173d7bba43d92449a093c6d | [
"Apache-2.0"
] | 2 | 2020-02-19T15:52:13.000Z | 2021-10-30T12:06:22.000Z | indexclient/parsers/info.py | uc-cdis/indexclient | 5d61bdb2cb9c0104f173d7bba43d92449a093c6d | [
"Apache-2.0"
] | 20 | 2017-11-30T18:15:53.000Z | 2021-08-20T16:14:17.000Z | indexclient/parsers/info.py | uc-cdis/indexclient | 5d61bdb2cb9c0104f173d7bba43d92449a093c6d | [
"Apache-2.0"
] | 1 | 2019-01-31T21:07:50.000Z | 2019-01-31T21:07:50.000Z | import sys
import json
import logging
import argparse
import warnings
import requests
from indexclient import errors
# DEPRECATED 11/2019 -- interacts with old `/alias/` endpoint.
# For creating aliases for indexd records, prefer using
# the `add_alias` function, which interacts with the new
# `/index/{GUID}/aliase... | 25.436364 | 76 | 0.653324 | 170 | 1,399 | 5.317647 | 0.482353 | 0.043142 | 0.039823 | 0.04646 | 0.331858 | 0.331858 | 0.247788 | 0.247788 | 0.247788 | 0.247788 | 0 | 0.005613 | 0.235883 | 1,399 | 54 | 77 | 25.907407 | 0.840037 | 0.182273 | 0 | 0.060606 | 0 | 0 | 0.253153 | 0.020721 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.212121 | 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 |
6ab5f637fa16cf262bdd8660fa9b73c3bc7980b2 | 1,151 | py | Python | email-worker-compose/app/sender.py | guilhermebc/docker-playground | e614c314ed2f5ab54835a8c45b4b3eec1ac4c57b | [
"MIT"
] | 1 | 2019-08-31T11:03:33.000Z | 2019-08-31T11:03:33.000Z | email-worker-compose/app/sender.py | guilhermebc/docker-playground | e614c314ed2f5ab54835a8c45b4b3eec1ac4c57b | [
"MIT"
] | 6 | 2020-09-07T03:12:42.000Z | 2022-03-02T05:25:57.000Z | email-worker-compose/app/sender.py | guilhermebc/docker-playground | e614c314ed2f5ab54835a8c45b4b3eec1ac4c57b | [
"MIT"
] | null | null | null | import psycopg2
import redis
import json
from bottle import Bottle, request
class Sender(Bottle):
def __init__(self):
super().__init__()
self.route('/', method='POST', callback=self.send)
self.fila = redis.StrictRedis(host='queue', port=6379, db=0)
DSN = 'dbname=email_sender user=p... | 30.289474 | 70 | 0.617724 | 135 | 1,151 | 5.125926 | 0.488889 | 0.151734 | 0.043353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017162 | 0.24066 | 1,151 | 38 | 71 | 30.289474 | 0.7746 | 0 | 0 | 0 | 0 | 0 | 0.186632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.133333 | 0 | 0.3 | 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 |
6ab5f90a0a47ff5a1e41ea47789a04eed55d4b77 | 8,949 | py | Python | tests/ximpl.py | zsimic/sandbox | 3d1571ca723d1a5e80ddecae0ad912160334fee9 | [
"MIT"
] | null | null | null | tests/ximpl.py | zsimic/sandbox | 3d1571ca723d1a5e80ddecae0ad912160334fee9 | [
"MIT"
] | null | null | null | tests/ximpl.py | zsimic/sandbox | 3d1571ca723d1a5e80ddecae0ad912160334fee9 | [
"MIT"
] | null | null | null | import click
import poyo
import ruamel.yaml
import runez
import strictyaml
import yaml as pyyaml
from zyaml import load_path, load_string, tokens_from_path, tokens_from_string
from zyaml.marshal import decode, default_marshal, represented_scalar
from . import TestSettings
class ImplementationCollection(object):
... | 30.233108 | 124 | 0.598391 | 1,018 | 8,949 | 5.094303 | 0.193517 | 0.030852 | 0.026996 | 0.038565 | 0.251253 | 0.183186 | 0.110875 | 0.055534 | 0.02931 | 0.02931 | 0 | 0.003341 | 0.297575 | 8,949 | 295 | 125 | 30.335593 | 0.821667 | 0.026707 | 0 | 0.18932 | 0 | 0 | 0.044473 | 0 | 0 | 0 | 0 | 0 | 0.009709 | 1 | 0.160194 | false | 0.024272 | 0.043689 | 0.063107 | 0.436893 | 0.014563 | 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 |
6ab6c4226f6262d47cafb69a5403744916d50994 | 17,464 | py | Python | mummi_ras/online/aa/aa_get_tiltrot_z_state.py | mummi-framework/mummi-ras | 7f4522aad36661e4530e39c830ab8c2a6f134060 | [
"MIT"
] | 4 | 2021-11-16T07:16:36.000Z | 2022-02-16T23:33:46.000Z | mummi_ras/online/aa/aa_get_tiltrot_z_state.py | mummi-framework/mummi-ras | 7f4522aad36661e4530e39c830ab8c2a6f134060 | [
"MIT"
] | 1 | 2021-11-23T20:23:28.000Z | 2021-12-03T09:08:34.000Z | mummi_ras/online/aa/aa_get_tiltrot_z_state.py | mummi-framework/mummi-ras | 7f4522aad36661e4530e39c830ab8c2a6f134060 | [
"MIT"
] | 2 | 2021-11-23T19:54:59.000Z | 2022-02-16T23:32:17.000Z | ###############################################################################
# @todo add Pilot2-splash-app disclaimer
###############################################################################
""" Get's KRAS states """
import MDAnalysis as mda
from MDAnalysis.analysis import align
from MDAnalysis.lib.mdamath ... | 47.072776 | 173 | 0.57129 | 2,476 | 17,464 | 3.874394 | 0.173667 | 0.026269 | 0.030022 | 0.03784 | 0.450328 | 0.377254 | 0.333472 | 0.303346 | 0.279266 | 0.237048 | 0 | 0.030961 | 0.243587 | 17,464 | 370 | 174 | 47.2 | 0.695231 | 0.398477 | 0 | 0.183333 | 0 | 0 | 0.061358 | 0.003379 | 0 | 0 | 0 | 0.008108 | 0 | 1 | 0.022222 | false | 0 | 0.055556 | 0 | 0.1 | 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 |
6ab82df482a2f9c96080ef85619210a77bdeb9a0 | 3,676 | py | Python | homeassistant/components/switch/hikvisioncam.py | maddox/home-assistant | 6624cfefd6ea81b559085779173b91a3dc6bd349 | [
"MIT"
] | 1 | 2015-09-13T21:10:09.000Z | 2015-09-13T21:10:09.000Z | homeassistant/components/switch/hikvisioncam.py | michaelarnauts/home-assistant | 7d905e6c0c99a4454de26d63af0581b454f01ca1 | [
"MIT"
] | null | null | null | homeassistant/components/switch/hikvisioncam.py | michaelarnauts/home-assistant | 7d905e6c0c99a4454de26d63af0581b454f01ca1 | [
"MIT"
] | 1 | 2020-05-07T08:48:36.000Z | 2020-05-07T08:48:36.000Z | """
homeassistant.components.switch.hikvision
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Support turning on/off motion detection on Hikvision cameras.
Note: Currently works using default https port only.
CGI API Guide: http://bit.ly/1RuyUuF
Configuration:
To use the Hikvision motion detection switch you will need to... | 27.029412 | 76 | 0.681991 | 447 | 3,676 | 5.454139 | 0.317673 | 0.067678 | 0.026251 | 0.016407 | 0.108285 | 0.021329 | 0.021329 | 0 | 0 | 0 | 0 | 0.010094 | 0.218444 | 3,676 | 135 | 77 | 27.22963 | 0.838496 | 0.322905 | 0 | 0.145161 | 0 | 0 | 0.108409 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145161 | false | 0.048387 | 0.129032 | 0 | 0.403226 | 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 |
6ab942559c3b1955ee240520738d5bee4d16cc10 | 5,689 | py | Python | src/richie/apps/search/filter_definitions/mixins.py | leduong/richie | bf7ed379b7e2528cd790dadcec10ac2656efd189 | [
"MIT"
] | null | null | null | src/richie/apps/search/filter_definitions/mixins.py | leduong/richie | bf7ed379b7e2528cd790dadcec10ac2656efd189 | [
"MIT"
] | null | null | null | src/richie/apps/search/filter_definitions/mixins.py | leduong/richie | bf7ed379b7e2528cd790dadcec10ac2656efd189 | [
"MIT"
] | null | null | null | """Define mixins to easily compose custom FilterDefinition classes."""
class TermsQueryMixin:
"""A mixin for filter definitions that need to apply term queries."""
def get_query_fragment(self, data):
"""Build the query fragments as term queries for each selected value."""
value_list = data.ge... | 41.830882 | 97 | 0.4746 | 542 | 5,689 | 4.904059 | 0.289668 | 0.024078 | 0.013544 | 0.022573 | 0.434537 | 0.415726 | 0.36757 | 0.341986 | 0.341986 | 0.295711 | 0 | 0.005041 | 0.442081 | 5,689 | 135 | 98 | 42.140741 | 0.832388 | 0.51749 | 0 | 0.296296 | 0 | 0 | 0.039132 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ab9a4f6d4ca5cd5f443cec5fb87c6e2f96318a3 | 12,830 | py | Python | electrumsv/gui/qt/receive_view.py | AustEcon/electrumsv | db924efc69f091f39e7d02e7f2d7a71350f4e6af | [
"MIT"
] | 1 | 2019-07-04T03:35:32.000Z | 2019-07-04T03:35:32.000Z | electrumsv/gui/qt/receive_view.py | AustEcon/electrumsv | db924efc69f091f39e7d02e7f2d7a71350f4e6af | [
"MIT"
] | null | null | null | electrumsv/gui/qt/receive_view.py | AustEcon/electrumsv | db924efc69f091f39e7d02e7f2d7a71350f4e6af | [
"MIT"
] | null | null | null | from typing import List, Optional, TYPE_CHECKING
import weakref
from PyQt5.QtCore import QEvent, Qt
from PyQt5.QtWidgets import (QComboBox, QGridLayout, QGroupBox, QHBoxLayout, QLabel, QLineEdit,
QVBoxLayout, QWidget)
from electrumsv.app_state import app_state
from electrumsv.bitcoin import script_template_to_str... | 41.928105 | 98 | 0.676695 | 1,584 | 12,830 | 5.128157 | 0.183712 | 0.063646 | 0.025114 | 0.025606 | 0.236366 | 0.14342 | 0.117075 | 0.093808 | 0.054167 | 0.042103 | 0 | 0.006231 | 0.237023 | 12,830 | 305 | 99 | 42.065574 | 0.823577 | 0.028995 | 0 | 0.122449 | 0 | 0 | 0.078394 | 0.00257 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089796 | false | 0 | 0.077551 | 0.008163 | 0.212245 | 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 |
6ab9d713b15cf7e2722180a91c20d945c012ee0e | 514 | py | Python | test/crossrunner/compat.py | BluechipSystems/thrift | c595aa18cba0032e074f9585aa2d6ca548f07197 | [
"Apache-2.0"
] | null | null | null | test/crossrunner/compat.py | BluechipSystems/thrift | c595aa18cba0032e074f9585aa2d6ca548f07197 | [
"Apache-2.0"
] | null | null | null | test/crossrunner/compat.py | BluechipSystems/thrift | c595aa18cba0032e074f9585aa2d6ca548f07197 | [
"Apache-2.0"
] | null | null | null | import os
import sys
if sys.version_info[0] == 2:
_ENCODE = sys.getfilesystemencoding()
def path_join(*args):
bin_args = map(lambda a: a.decode(_ENCODE), args)
return os.path.join(*bin_args).encode(_ENCODE)
def str_join(s, l):
bin_args = map(lambda a: a.decode(_ENCODE), l)
b = s.decode(_ENCODE)... | 20.56 | 53 | 0.678988 | 81 | 514 | 4.098765 | 0.358025 | 0.096386 | 0.060241 | 0.096386 | 0.319277 | 0.180723 | 0.180723 | 0.180723 | 0 | 0 | 0 | 0.004773 | 0.184825 | 514 | 24 | 54 | 21.416667 | 0.78759 | 0 | 0 | 0 | 0 | 0 | 0.013619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.117647 | 0.058824 | 0.470588 | 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 |
6aba555a9c95d6e5cd6afe857fa51108b432e61a | 1,518 | py | Python | test/test_vom.py | usamaahmadkhan/vpp | cece3e682f6dba68ba86b66b295f99a33496d9ee | [
"Apache-2.0"
] | null | null | null | test/test_vom.py | usamaahmadkhan/vpp | cece3e682f6dba68ba86b66b295f99a33496d9ee | [
"Apache-2.0"
] | null | null | null | test/test_vom.py | usamaahmadkhan/vpp | cece3e682f6dba68ba86b66b295f99a33496d9ee | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
""" VAPI test """
import unittest
import os
import signal
from framework import VppTestCase, running_extended_tests, \
VppTestRunner, Worker
@unittest.skipUnless(running_extended_tests(), "part of extended tests")
class VOMTestCase(VppTestCase):
""" VPP Object Model Test """
def te... | 33 | 75 | 0.590909 | 171 | 1,518 | 5.116959 | 0.502924 | 0.054857 | 0.045714 | 0.043429 | 0.082286 | 0.082286 | 0.082286 | 0.082286 | 0 | 0 | 0 | 0.003788 | 0.304348 | 1,518 | 45 | 76 | 33.733333 | 0.824811 | 0.04809 | 0 | 0.057143 | 0 | 0 | 0.187237 | 0.018233 | 0 | 0 | 0 | 0 | 0.057143 | 1 | 0.028571 | false | 0 | 0.114286 | 0 | 0.171429 | 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 |
6abaa4631fe046cd2892f35a91bca62bc7f0f887 | 3,096 | py | Python | locations/spiders/tesco.py | bealbrown/allhours | f750ee7644246a97bd16879f14115d7845f76b89 | [
"MIT"
] | null | null | null | locations/spiders/tesco.py | bealbrown/allhours | f750ee7644246a97bd16879f14115d7845f76b89 | [
"MIT"
] | null | null | null | locations/spiders/tesco.py | bealbrown/allhours | f750ee7644246a97bd16879f14115d7845f76b89 | [
"MIT"
] | null | null | null | import json
import re
import scrapy
from locations.hourstudy import inputoutput
DAYS = {
'mo': 'Mo',
'tu': 'Tu',
'we': 'We',
'fr': 'Fr',
'th': 'Th',
'sa': 'Sa',
'su': 'Su',
}
class TescoSpider(scrapy.Spider):
name = "tesco"
allowed_domains = ["tescolocation.api.tesco.com"]
def st... | 38.222222 | 257 | 0.549096 | 323 | 3,096 | 5.188854 | 0.473684 | 0.077566 | 0.047733 | 0.048329 | 0.084726 | 0.029833 | 0 | 0 | 0 | 0 | 0 | 0.031929 | 0.271641 | 3,096 | 80 | 258 | 38.7 | 0.711308 | 0.010013 | 0 | 0 | 0 | 0.015152 | 0.33998 | 0.026806 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.060606 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6abb4495b3d52a4655573442ecead7d8db0e2301 | 12,883 | py | Python | astropy/table/serialize.py | tacaswell/astropy | 75046e61916da36dffe87ddf59a7c6bfb00de81c | [
"BSD-3-Clause"
] | 1 | 2019-10-05T18:20:27.000Z | 2019-10-05T18:20:27.000Z | astropy/table/serialize.py | tacaswell/astropy | 75046e61916da36dffe87ddf59a7c6bfb00de81c | [
"BSD-3-Clause"
] | null | null | null | astropy/table/serialize.py | tacaswell/astropy | 75046e61916da36dffe87ddf59a7c6bfb00de81c | [
"BSD-3-Clause"
] | null | null | null | from importlib import import_module
import re
from copy import deepcopy
from collections import OrderedDict
from astropy.utils.data_info import MixinInfo
from .column import Column
from .table import Table, QTable, has_info_class
from astropy.units.quantity import QuantityInfo
__construct_mixin_classes = ('astropy.t... | 41.028662 | 87 | 0.645579 | 1,735 | 12,883 | 4.637464 | 0.214409 | 0.02784 | 0.007954 | 0.006214 | 0.111733 | 0.072458 | 0.070346 | 0.049963 | 0.0348 | 0.024111 | 0 | 0.00855 | 0.264612 | 12,883 | 313 | 88 | 41.159744 | 0.840722 | 0.468292 | 0 | 0.080882 | 0 | 0 | 0.090362 | 0.066924 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0.007353 | 0.066176 | 0.014706 | 0.198529 | 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 |
6abe0f56148406c214bae2a7180acf428b205f37 | 1,914 | py | Python | UVa 573 - The Snail/sample/main.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | 1 | 2020-11-24T03:17:21.000Z | 2020-11-24T03:17:21.000Z | UVa 573 - The Snail/sample/main.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | null | null | null | UVa 573 - The Snail/sample/main.py | tadvi/uva | 0ac0cbdf593879b4fb02a3efc09adbb031cb47d5 | [
"MIT"
] | 1 | 2021-04-11T16:22:31.000Z | 2021-04-11T16:22:31.000Z | '''
Created on Jun 18, 2013
@author: Yubin Bai
All rights reserved.
'''
import time
from multiprocessing.pool import Pool
parallelSolve = False
infinity = 1 << 30
def solve(par):
H, U, D, F = par
day = 0
amountRise = U
currH = 0
while True:
amountRise = U * (1 - 0.01 * F * day)
... | 24.538462 | 78 | 0.527168 | 236 | 1,914 | 4.224576 | 0.355932 | 0.032096 | 0.048144 | 0.064193 | 0.238716 | 0.218656 | 0.164493 | 0.164493 | 0.164493 | 0.164493 | 0 | 0.037618 | 0.333333 | 1,914 | 77 | 79 | 24.857143 | 0.74373 | 0.03396 | 0 | 0.20339 | 0 | 0 | 0.068441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101695 | false | 0 | 0.033898 | 0 | 0.186441 | 0.033898 | 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 |
6abe9ac6695fe5a1d34b503ad56c8e41374a9ea6 | 5,074 | py | Python | scibert/models/text_classifier.py | tomhoper/scibert | 3cc65f433808f7879c973dc4fc41bd25e465dc15 | [
"Apache-2.0"
] | 1,143 | 2019-03-27T01:49:11.000Z | 2022-03-24T10:43:47.000Z | scibert/models/text_classifier.py | tomhoper/scibert | 3cc65f433808f7879c973dc4fc41bd25e465dc15 | [
"Apache-2.0"
] | 91 | 2019-03-27T17:20:27.000Z | 2022-03-29T09:29:58.000Z | scibert/models/text_classifier.py | tomhoper/scibert | 3cc65f433808f7879c973dc4fc41bd25e465dc15 | [
"Apache-2.0"
] | 206 | 2019-03-28T02:22:30.000Z | 2022-03-30T07:07:05.000Z | from typing import Dict, Optional, List, Any
import torch
import torch.nn.functional as F
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules import FeedForward, TextFieldEmbedder, Seq2SeqEncoder
from allennlp.nn import InitializerApplicator, RegularizerApplicator
from al... | 40.919355 | 120 | 0.653331 | 579 | 5,074 | 5.518135 | 0.278066 | 0.022535 | 0.026604 | 0.028169 | 0.162128 | 0.080125 | 0.080125 | 0.064476 | 0.064476 | 0.037559 | 0 | 0.008225 | 0.257194 | 5,074 | 123 | 121 | 41.252033 | 0.83948 | 0.204769 | 0 | 0.078947 | 0 | 0 | 0.022135 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.131579 | 0 | 0.236842 | 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 |
6abec40d890d6b8f05f738693cce2c79127a8924 | 4,716 | py | Python | plugins/template/tasks.py | crotwell/cmd2 | 5ce3a64e41258b6a694ad45bb1c604be53a1e974 | [
"MIT"
] | 469 | 2016-02-16T16:18:48.000Z | 2022-03-31T15:24:40.000Z | plugins/template/tasks.py | crotwell/cmd2 | 5ce3a64e41258b6a694ad45bb1c604be53a1e974 | [
"MIT"
] | 1,076 | 2016-02-19T02:50:47.000Z | 2022-03-22T03:08:06.000Z | plugins/template/tasks.py | crotwell/cmd2 | 5ce3a64e41258b6a694ad45bb1c604be53a1e974 | [
"MIT"
] | 138 | 2016-02-19T02:46:23.000Z | 2022-03-30T13:13:01.000Z | #
# -*- coding: utf-8 -*-
"""Development related tasks to be run with 'invoke'"""
import os
import pathlib
import shutil
import invoke
TASK_ROOT = pathlib.Path(__file__).resolve().parent
TASK_ROOT_STR = str(TASK_ROOT)
# shared function
def rmrf(items, verbose=True):
"""Silently remove a list of directories or ... | 23.231527 | 87 | 0.671968 | 617 | 4,716 | 4.993517 | 0.249595 | 0.04544 | 0.033755 | 0.05258 | 0.253489 | 0.185654 | 0.04544 | 0.022071 | 0 | 0 | 0 | 0.00105 | 0.192112 | 4,716 | 202 | 88 | 23.346535 | 0.807612 | 0.293681 | 0 | 0.195652 | 0 | 0 | 0.133831 | 0.027078 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0.021739 | 0.043478 | 0 | 0.173913 | 0.021739 | 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 |
6abf04d8aaa93e623f487cf9322ec9b114c31f92 | 2,590 | py | Python | homeassistant/components/epsonworkforce/sensor.py | maexono/home-assistant | c174b83f5408124fc7834e8282969a1e8f9cca16 | [
"Apache-2.0"
] | 2 | 2019-12-30T14:12:33.000Z | 2021-07-05T10:33:08.000Z | homeassistant/components/epsonworkforce/sensor.py | maexono/home-assistant | c174b83f5408124fc7834e8282969a1e8f9cca16 | [
"Apache-2.0"
] | 2 | 2022-01-13T04:00:03.000Z | 2022-03-12T01:02:40.000Z | homeassistant/components/epsonworkforce/sensor.py | maexono/home-assistant | c174b83f5408124fc7834e8282969a1e8f9cca16 | [
"Apache-2.0"
] | 3 | 2019-04-28T16:35:45.000Z | 2020-05-28T15:21:59.000Z | """Support for Epson Workforce Printer."""
from datetime import timedelta
import logging
import voluptuous as vol
from homeassistant.components.sensor import PLATFORM_SCHEMA
from homeassistant.const import CONF_HOST, CONF_MONITORED_CONDITIONS
from homeassistant.exceptions import PlatformNotReady
import homeassistant.... | 30.116279 | 71 | 0.679151 | 302 | 2,590 | 5.655629 | 0.384106 | 0.088993 | 0.040398 | 0.043911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003872 | 0.202317 | 2,590 | 85 | 72 | 30.470588 | 0.822846 | 0.146332 | 0 | 0.089286 | 0 | 0 | 0.079167 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.160714 | 0 | 0.410714 | 0.035714 | 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 |
6abf99810278b3e6bb4dfbe19a2991c6db839dec | 19,661 | py | Python | bot/exts/help_channels/_cog.py | bast0006/bot | dec9a9dba77aa4322f9dc37b6493a8410e7482ec | [
"MIT",
"BSD-3-Clause"
] | null | null | null | bot/exts/help_channels/_cog.py | bast0006/bot | dec9a9dba77aa4322f9dc37b6493a8410e7482ec | [
"MIT",
"BSD-3-Clause"
] | null | null | null | bot/exts/help_channels/_cog.py | bast0006/bot | dec9a9dba77aa4322f9dc37b6493a8410e7482ec | [
"MIT",
"BSD-3-Clause"
] | null | null | null | import asyncio
import logging
import random
import typing as t
from datetime import datetime, timezone
from operator import attrgetter
import discord
import discord.abc
from discord.ext import commands
from bot import constants
from bot.bot import Bot
from bot.exts.help_channels import _caches, _channel, _cooldown, _... | 42.010684 | 120 | 0.670363 | 2,540 | 19,661 | 5.055118 | 0.159843 | 0.017523 | 0.013707 | 0.00662 | 0.195016 | 0.125389 | 0.08053 | 0.047196 | 0.039252 | 0.039252 | 0 | 0.000743 | 0.247088 | 19,661 | 467 | 121 | 42.100642 | 0.866649 | 0.15869 | 0 | 0.123552 | 0 | 0.007722 | 0.181683 | 0.008811 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011583 | false | 0.003861 | 0.050193 | 0 | 0.111969 | 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 |
6ac05bd39a70de6163a586a9ee9a2b3649ee2eef | 16,516 | py | Python | code/menu/screens/shopmenu.py | LordZagreus/LodeRunner | 68aab36be47cabe31e52f3ee43520bdafcdf3c95 | [
"MIT"
] | 1 | 2017-10-31T22:26:22.000Z | 2017-10-31T22:26:22.000Z | code/menu/screens/shopmenu.py | team-sparrow/LodeRunner | 68aab36be47cabe31e52f3ee43520bdafcdf3c95 | [
"MIT"
] | 2 | 2019-07-05T03:17:18.000Z | 2019-07-08T16:15:29.000Z | code/menu/screens/shopmenu.py | team-sparrow/LodeRunner | 68aab36be47cabe31e52f3ee43520bdafcdf3c95 | [
"MIT"
] | 1 | 2020-10-15T09:03:20.000Z | 2020-10-15T09:03:20.000Z | import os
import math
import random
import time
from code.menu.menu import Menu
from code.tools.eventqueue import EventQueue
from code.tools.xml import XMLParser
from code.utils.common import coalesce, intersect, offset_rect, log, log2, xml_encode, xml_decode, translate_rgb_to_string
from code.constants.common i... | 31.339658 | 233 | 0.60069 | 1,928 | 16,516 | 4.946058 | 0.194502 | 0.039534 | 0.039639 | 0.035445 | 0.356544 | 0.27716 | 0.256292 | 0.221791 | 0.205852 | 0.171456 | 0 | 0.001921 | 0.306491 | 16,516 | 526 | 234 | 31.39924 | 0.830627 | 0.273311 | 0 | 0.261062 | 0 | 0 | 0.075 | 0.010101 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039823 | false | 0 | 0.048673 | 0 | 0.128319 | 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 |
6ac069f3cef035db6da504010b64c5c2110dea99 | 3,665 | py | Python | lib/bridgedb/runner.py | liudonghua123/bridgedb | 94dd10673f9e6650e8a00e162f348e64f7a1ecab | [
"BSD-3-Clause-Clear"
] | null | null | null | lib/bridgedb/runner.py | liudonghua123/bridgedb | 94dd10673f9e6650e8a00e162f348e64f7a1ecab | [
"BSD-3-Clause-Clear"
] | null | null | null | lib/bridgedb/runner.py | liudonghua123/bridgedb | 94dd10673f9e6650e8a00e162f348e64f7a1ecab | [
"BSD-3-Clause-Clear"
] | null | null | null | # -*- coding: utf-8 ; test-case-name: bridgedb.test.test_runner -*-
#
# This file is part of BridgeDB, a Tor bridge distribution system.
#
# :authors: Isis Lovecruft 0xA3ADB67A2CDB8B35 <isis@torproject.org>
# please also see AUTHORS file
# :copyright: (c) 2007-2015, The Tor Project, Inc.
# (c) 200... | 33.318182 | 79 | 0.661937 | 452 | 3,665 | 5.34292 | 0.477876 | 0.016149 | 0.007453 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013965 | 0.257572 | 3,665 | 109 | 80 | 33.623853 | 0.873576 | 0.53397 | 0 | 0 | 0 | 0 | 0.110261 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.177778 | 0 | 0.311111 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ac297a5895de04303f5fe688063a599cff885d4 | 4,053 | py | Python | batch_processing_dataflow/play_store_flow.py | KeeplerIO/meetup-hands-on-gcp-2019 | 3674922d89d2be8984eb5719f0faaae127823ab4 | [
"MIT"
] | 1 | 2019-04-03T17:47:04.000Z | 2019-04-03T17:47:04.000Z | batch_processing_dataflow/play_store_flow.py | KeeplerIO/meetup-hands-on-gcp-2019 | 3674922d89d2be8984eb5719f0faaae127823ab4 | [
"MIT"
] | 2 | 2020-08-10T10:52:57.000Z | 2022-01-22T04:18:42.000Z | batch_processing_dataflow/play_store_flow.py | KeeplerIO/meetup-hands-on-gcp-2019 | 3674922d89d2be8984eb5719f0faaae127823ab4 | [
"MIT"
] | null | null | null | import argparse
import logging
import apache_beam as beam
from apache_beam.io import WriteToBigQuery
from apache_beam.io import ReadFromText, WriteToText
from apache_beam.options.pipeline_options import PipelineOptions
class ProcessCSV(beam.DoFn):
def process(self, element, *args, **kwargs):
import csv
... | 42.663158 | 116 | 0.593881 | 406 | 4,053 | 5.729064 | 0.334975 | 0.068788 | 0.018057 | 0.013758 | 0.104041 | 0.059329 | 0.033534 | 0.033534 | 0 | 0 | 0 | 0.008895 | 0.278806 | 4,053 | 94 | 117 | 43.117021 | 0.786863 | 0.012583 | 0 | 0.054054 | 0 | 0 | 0.174718 | 0.043805 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.121622 | 0 | 0.27027 | 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 |
6ac30849631c3b7df115a92dba1c94f0bb05ed26 | 4,259 | py | Python | backend/main/server/resources/Message.py | Manotomo-Alliance-Support-Squad/WWS | 3df21a3f715eeb3b57314bf08c38f2239b2ba399 | [
"MIT"
] | null | null | null | backend/main/server/resources/Message.py | Manotomo-Alliance-Support-Squad/WWS | 3df21a3f715eeb3b57314bf08c38f2239b2ba399 | [
"MIT"
] | 20 | 2021-03-15T20:30:35.000Z | 2021-06-02T19:16:55.000Z | backend/main/server/resources/Message.py | Manotomo-Alliance-Support-Squad/WWS | 3df21a3f715eeb3b57314bf08c38f2239b2ba399 | [
"MIT"
] | null | null | null | from flask import request
from flask_jwt import jwt_required
from flask_restful import Resource
from main.server import app, cache, db
from main.server.models import Message, MessageSchema
messages_schema = MessageSchema(many=True)
message_schema = MessageSchema()
@app.after_request
def add_header(response):
r... | 35.789916 | 182 | 0.621273 | 487 | 4,259 | 5.373717 | 0.250513 | 0.073366 | 0.048911 | 0.047765 | 0.42415 | 0.281238 | 0.265189 | 0.235384 | 0.205579 | 0.172717 | 0 | 0.01885 | 0.240197 | 4,259 | 118 | 183 | 36.09322 | 0.789864 | 0.061047 | 0 | 0.333333 | 0 | 0.012821 | 0.214322 | 0.051437 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089744 | false | 0 | 0.064103 | 0 | 0.423077 | 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 |
6ac35d88701fa7c3171d4b1e9eb134859f289cd2 | 5,380 | py | Python | volttron/platform/vip/agent/subsystems/heartbeat.py | rmay-intwine/volttron | a449f70e32f73ff0136a838d0feddb928ede6298 | [
"Apache-2.0"
] | null | null | null | volttron/platform/vip/agent/subsystems/heartbeat.py | rmay-intwine/volttron | a449f70e32f73ff0136a838d0feddb928ede6298 | [
"Apache-2.0"
] | null | null | null | volttron/platform/vip/agent/subsystems/heartbeat.py | rmay-intwine/volttron | a449f70e32f73ff0136a838d0feddb928ede6298 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*- {{{
# vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et:
#
# Copyright 2017, Battelle Memorial Institute.
#
# 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... | 34.487179 | 86 | 0.666729 | 669 | 5,380 | 5.301943 | 0.38864 | 0.019735 | 0.025374 | 0.028193 | 0.113617 | 0.081195 | 0.0468 | 0.024246 | 0 | 0 | 0 | 0.005987 | 0.254833 | 5,380 | 155 | 87 | 34.709677 | 0.878773 | 0.429368 | 0 | 0.242857 | 0 | 0 | 0.046647 | 0.00984 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.014286 | 0.114286 | 0 | 0.271429 | 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 |
6ac367d8d5ec9f368f230df751f19e5799e20bdd | 18,984 | py | Python | datasets/experimental/ni_superalloys/Ni_superalloy.py | kyawlin/smlb | 79c757d7fc040fb30ad44410be158b3ce3bdf30d | [
"Apache-2.0"
] | null | null | null | datasets/experimental/ni_superalloys/Ni_superalloy.py | kyawlin/smlb | 79c757d7fc040fb30ad44410be158b3ce3bdf30d | [
"Apache-2.0"
] | null | null | null | datasets/experimental/ni_superalloys/Ni_superalloy.py | kyawlin/smlb | 79c757d7fc040fb30ad44410be158b3ce3bdf30d | [
"Apache-2.0"
] | null | null | null | """Ni-Superalloy dataset.
Scientific Machine Learning Benchmark
A benchmark of regression models in chem- and materials informatics.
2019, Brendan Folie, Citrine Informatics.
See class NiSuperalloyDataset for details.
"""
import os
import json
import zipfile
from typing import List, Optional, Tuple, Union
import nu... | 40.650964 | 99 | 0.629794 | 2,284 | 18,984 | 5.073555 | 0.171629 | 0.04263 | 0.014498 | 0.021747 | 0.346911 | 0.313687 | 0.292458 | 0.253193 | 0.189506 | 0.177339 | 0 | 0.011178 | 0.29783 | 18,984 | 466 | 100 | 40.738197 | 0.85814 | 0.372314 | 0 | 0.178862 | 0 | 0 | 0.115858 | 0.006523 | 0 | 0 | 0 | 0 | 0.020325 | 1 | 0.056911 | false | 0 | 0.03252 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ac43cedb06c0b3488172628809f67d3f8c8275d | 2,520 | py | Python | pytorch_lightning/accelerators/cpu_backend.py | ozen/pytorch-lightning | 3b0b402d30fa19e0fef7d150c30ff4bb14a64230 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/accelerators/cpu_backend.py | ozen/pytorch-lightning | 3b0b402d30fa19e0fef7d150c30ff4bb14a64230 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/accelerators/cpu_backend.py | ozen/pytorch-lightning | 3b0b402d30fa19e0fef7d150c30ff4bb14a64230 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 34.520548 | 99 | 0.681746 | 317 | 2,520 | 5.305994 | 0.413249 | 0.098098 | 0.0761 | 0.078478 | 0.300238 | 0.268728 | 0.268728 | 0.167658 | 0.167658 | 0.167658 | 0 | 0.00209 | 0.240476 | 2,520 | 72 | 100 | 35 | 0.876698 | 0.284524 | 0 | 0.461538 | 0 | 0 | 0.029164 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.102564 | 0 | 0.384615 | 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 |
6ac4e4fc48c67f3dafab5b728a225aa95eec15e2 | 7,668 | py | Python | st2common/st2common/util/pack.py | timgates42/st2 | 0e8ae756f30ffe2e017c64bff67830abdee7f7c9 | [
"Apache-2.0"
] | null | null | null | st2common/st2common/util/pack.py | timgates42/st2 | 0e8ae756f30ffe2e017c64bff67830abdee7f7c9 | [
"Apache-2.0"
] | 15 | 2021-02-11T22:58:54.000Z | 2021-08-06T18:03:47.000Z | st2common/st2common/util/pack.py | timgates42/st2 | 0e8ae756f30ffe2e017c64bff67830abdee7f7c9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The StackStorm Authors.
# Copyright 2019 Extreme Networks, 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 ... | 36.514286 | 100 | 0.666275 | 1,013 | 7,668 | 4.860809 | 0.27542 | 0.022746 | 0.019903 | 0.025589 | 0.139115 | 0.095857 | 0.075955 | 0.075955 | 0.045085 | 0.045085 | 0 | 0.008607 | 0.257564 | 7,668 | 209 | 101 | 36.688995 | 0.856315 | 0.276865 | 0 | 0.056075 | 0 | 0 | 0.221292 | 0.028476 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065421 | false | 0 | 0.121495 | 0 | 0.261682 | 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 |
6ac65f8d4a911234497385069b667c9dd2f68934 | 21,364 | py | Python | pixelproject/grid.py | MickaelRigault/pixelproject | d98db99a8e69eafa7a979c02a099e4c07f5fd568 | [
"Apache-2.0"
] | null | null | null | pixelproject/grid.py | MickaelRigault/pixelproject | d98db99a8e69eafa7a979c02a099e4c07f5fd568 | [
"Apache-2.0"
] | null | null | null | pixelproject/grid.py | MickaelRigault/pixelproject | d98db99a8e69eafa7a979c02a099e4c07f5fd568 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
#
import warnings
import numpy as np
UNIT_SQUARE = np.asarray([[0,0],[0,1],[1,1],[1,0]])-0.5
from propobject import BaseObject
from shapely import geometry
import pandas
import geopandas
# ======================= #
# #
# Functions #
# ... | 35.08046 | 145 | 0.550178 | 2,326 | 21,364 | 4.94196 | 0.155632 | 0.031057 | 0.014876 | 0.009134 | 0.165811 | 0.114485 | 0.10274 | 0.071596 | 0.063941 | 0.063941 | 0 | 0.005833 | 0.325969 | 21,364 | 608 | 146 | 35.138158 | 0.792431 | 0.252294 | 0 | 0.181818 | 0 | 0.006993 | 0.100605 | 0.002789 | 0 | 0 | 0 | 0 | 0.006993 | 1 | 0.13986 | false | 0 | 0.041958 | 0.006993 | 0.335664 | 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 |
6ac66c22ad3d5b81a13742eecef45d93fd664ee6 | 31,445 | py | Python | numpy/lib/format.py | AnirudhDagar/numpy | 77bc3225e6f4badf83190ec300a0e10e56949644 | [
"BSD-3-Clause"
] | 5 | 2021-08-23T06:23:15.000Z | 2022-02-05T07:27:30.000Z | numpy/lib/format.py | AnirudhDagar/numpy | 77bc3225e6f4badf83190ec300a0e10e56949644 | [
"BSD-3-Clause"
] | 75 | 2021-07-12T01:28:50.000Z | 2022-03-28T20:09:00.000Z | numpy/lib/format.py | AnirudhDagar/numpy | 77bc3225e6f4badf83190ec300a0e10e56949644 | [
"BSD-3-Clause"
] | 1 | 2019-11-05T15:23:08.000Z | 2019-11-05T15:23:08.000Z | """
Binary serialization
NPY format
==========
A simple format for saving numpy arrays to disk with the full
information about them.
The ``.npy`` format is the standard binary file format in NumPy for
persisting a *single* arbitrary NumPy array on disk. The format stores all
of the shape and dtype information necess... | 34.21654 | 87 | 0.641437 | 4,430 | 31,445 | 4.488713 | 0.16298 | 0.008549 | 0.006336 | 0.006688 | 0.224793 | 0.186724 | 0.16173 | 0.151974 | 0.147448 | 0.135479 | 0 | 0.011151 | 0.272794 | 31,445 | 918 | 88 | 34.253813 | 0.858442 | 0.558181 | 0 | 0.215873 | 0 | 0.003175 | 0.118329 | 0 | 0 | 0 | 0 | 0 | 0.003175 | 1 | 0.063492 | false | 0.012698 | 0.028571 | 0 | 0.165079 | 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 |
6ac8631a21e5b850ca9b81ac1543a63108f70e71 | 6,090 | py | Python | bin/focus_scan.py | desihub/desicmx | 6f7c9a3cff25c970af57de20e3a12001382deb23 | [
"BSD-3-Clause"
] | 3 | 2019-11-15T23:17:23.000Z | 2019-11-27T17:19:33.000Z | bin/focus_scan.py | desihub/desicmx | 6f7c9a3cff25c970af57de20e3a12001382deb23 | [
"BSD-3-Clause"
] | 4 | 2019-12-12T03:37:32.000Z | 2020-01-28T21:29:51.000Z | bin/focus_scan.py | desihub/desicmx | 6f7c9a3cff25c970af57de20e3a12001382deb23 | [
"BSD-3-Clause"
] | 2 | 2019-12-20T08:21:52.000Z | 2020-06-30T15:21:53.000Z | #!/usr/bin/env python
import astropy.io.fits as fits
import numpy as np
import os
import matplotlib.pyplot as plt
import argparse
def _fname(expid, night,
basedir='/n/home/datasystems/users/ameisner/reduced/focus',
ccds=False):
fname = basedir + '/' + night + '/' + str(expid).zfill(... | 35.614035 | 129 | 0.612315 | 836 | 6,090 | 4.327751 | 0.276316 | 0.021559 | 0.023494 | 0.024323 | 0.326423 | 0.30293 | 0.220011 | 0.208679 | 0.195412 | 0.158928 | 0 | 0.02575 | 0.228407 | 6,090 | 170 | 130 | 35.823529 | 0.744201 | 0.027915 | 0 | 0.104348 | 0 | 0 | 0.186475 | 0.069992 | 0 | 0 | 0 | 0 | 0.008696 | 1 | 0.043478 | false | 0 | 0.043478 | 0 | 0.104348 | 0.078261 | 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 |
6ac951af97aa3d1a0ef9e931276c0e45ff2d14cc | 4,344 | py | Python | pythia/utils/logger.py | abhiskk/pythia | c33fb45d74353c25b6269b44551bcafefecb5c7e | [
"BSD-3-Clause"
] | 2 | 2019-05-23T02:07:03.000Z | 2019-06-08T18:56:05.000Z | pythia/utils/logger.py | abhiskk/pythia | c33fb45d74353c25b6269b44551bcafefecb5c7e | [
"BSD-3-Clause"
] | null | null | null | pythia/utils/logger.py | abhiskk/pythia | c33fb45d74353c25b6269b44551bcafefecb5c7e | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
import base64
import logging
import os
import sys
from tensorboardX import SummaryWriter
from pythia.utils.distributed_utils import is_main_process
from pythia.utils.general import (ckpt_name_from_core_args,
foldername_from_config_ov... | 34.204724 | 81 | 0.63628 | 540 | 4,344 | 4.874074 | 0.246296 | 0.042553 | 0.06459 | 0.027356 | 0.282295 | 0.220745 | 0.147036 | 0.072948 | 0.032675 | 0 | 0 | 0.000625 | 0.263352 | 4,344 | 126 | 82 | 34.47619 | 0.821875 | 0.037523 | 0 | 0.206522 | 0 | 0 | 0.057738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076087 | false | 0 | 0.086957 | 0 | 0.23913 | 0.043478 | 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 |
6acd5e71b7f337a2cb3ca947d7cf6d05f0a0b474 | 851 | py | Python | setup.py | chearon/macpack | 1cf6ce453dd33a811343e4bb6ee5575bc9fe919d | [
"MIT"
] | 24 | 2016-11-14T14:09:57.000Z | 2022-01-26T02:22:45.000Z | setup.py | najiji/macpack | 20b518e9bc0f4e58d47c5416a686a4b246a3764d | [
"MIT"
] | 5 | 2016-11-14T14:09:53.000Z | 2019-04-18T15:49:14.000Z | setup.py | najiji/macpack | 20b518e9bc0f4e58d47c5416a686a4b246a3764d | [
"MIT"
] | 3 | 2018-01-27T15:38:46.000Z | 2019-04-09T16:21:23.000Z | import setuptools
import os
try:
import pypandoc
description = pypandoc.convert('README.md', 'rst') if os.path.exists('README.md') else ''
except ImportError:
description = ''
setuptools.setup(
name = 'macpack',
packages = setuptools.find_packages(),
version = '1.0.3',
description = 'Makes a macOS binar... | 32.730769 | 131 | 0.706228 | 100 | 851 | 5.93 | 0.7 | 0.026981 | 0.047218 | 0.057336 | 0.104553 | 0.104553 | 0 | 0 | 0 | 0 | 0 | 0.008208 | 0.141011 | 851 | 25 | 132 | 34.04 | 0.80301 | 0 | 0 | 0 | 0 | 0 | 0.435958 | 0.032902 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.173913 | 0 | 0.173913 | 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 |
6acdf3a0dc36f1ce88eb6431d38ef46ea81f633b | 1,371 | py | Python | WEEK2/day5/scripts/06_NB_Challenges_Isolines.py | tizon9804/SS2017 | 7cb374ad21cdfeeef223ac4a65cbbf40dab22e06 | [
"MIT"
] | null | null | null | WEEK2/day5/scripts/06_NB_Challenges_Isolines.py | tizon9804/SS2017 | 7cb374ad21cdfeeef223ac4a65cbbf40dab22e06 | [
"MIT"
] | null | null | null | WEEK2/day5/scripts/06_NB_Challenges_Isolines.py | tizon9804/SS2017 | 7cb374ad21cdfeeef223ac4a65cbbf40dab22e06 | [
"MIT"
] | null | null | null | import vtk
# Read the file (to test that it was written correctly)
reader = vtk.vtkXMLImageDataReader()
reader.SetFileName("../data/wind_image.vti")
reader.Update()
print(reader.GetOutput())
# Convert the image to a polydata
imageDataGeometryFilter = vtk.vtkImageDataGeometryFilter()
imageDataGeometryFilter.SetInputCon... | 30.466667 | 74 | 0.835157 | 117 | 1,371 | 9.777778 | 0.538462 | 0.026224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004677 | 0.064187 | 1,371 | 44 | 75 | 31.159091 | 0.886984 | 0.073669 | 0 | 0 | 0 | 0 | 0.024506 | 0.017391 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032258 | 0 | 0.032258 | 0.032258 | 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 |
6ace6e18f6860e091c836de50634b3a607e70811 | 11,303 | py | Python | mbbl_envs/mbbl/env/gym_env/invertedPendulum.py | hbutsuak95/iv_rl | 0f72a8f077a238237027ea96b7d1160c35ac9959 | [
"MIT"
] | 9 | 2022-01-16T11:27:00.000Z | 2022-03-13T14:04:48.000Z | mbbl_envs/mbbl/env/gym_env/invertedPendulum.py | hbutsuak95/iv_rl | 0f72a8f077a238237027ea96b7d1160c35ac9959 | [
"MIT"
] | null | null | null | mbbl_envs/mbbl/env/gym_env/invertedPendulum.py | hbutsuak95/iv_rl | 0f72a8f077a238237027ea96b7d1160c35ac9959 | [
"MIT"
] | null | null | null | """
# -----------------------------------------------------------------------------
# @brief:
# Tingwu: reset the reward function so that it's more similar to the one
# defined in GYM
# -----------------------------------------------------------------------------
"""
import numpy as np
from mbbl.config i... | 35.656151 | 79 | 0.529594 | 1,356 | 11,303 | 4.106195 | 0.168879 | 0.055316 | 0.025682 | 0.022629 | 0.363865 | 0.244971 | 0.181394 | 0.122665 | 0.11153 | 0.104346 | 0 | 0.018529 | 0.345837 | 11,303 | 316 | 80 | 35.768987 | 0.734514 | 0.178714 | 0 | 0.175141 | 0 | 0 | 0.074819 | 0 | 0 | 0 | 0 | 0.003165 | 0.016949 | 1 | 0.073446 | false | 0 | 0.039548 | 0.00565 | 0.169492 | 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 |
6ad0bc72be93fcbf7c2b0d3f4185b26d3bfb3b1c | 1,426 | py | Python | web/pingpongpiweb.py | andrewdyersmith/pingpongpi | 63e969468da24b2d00e86033dfcb22de75f264bc | [
"MIT"
] | null | null | null | web/pingpongpiweb.py | andrewdyersmith/pingpongpi | 63e969468da24b2d00e86033dfcb22de75f264bc | [
"MIT"
] | null | null | null | web/pingpongpiweb.py | andrewdyersmith/pingpongpi | 63e969468da24b2d00e86033dfcb22de75f264bc | [
"MIT"
] | null | null | null | # Ping Pong Pi web UI running on flask.
# Uses zmq to speak to daemon controlling screen.
from flask import Flask, render_template, appcontext_tearing_down, request
from multiprocessing import Process, Queue
from multiprocessing.connection import Client
import atexit
import time
import zmq
app = Flask(__name__)
@ap... | 22.634921 | 74 | 0.704067 | 191 | 1,426 | 5.062827 | 0.486911 | 0.086867 | 0.024819 | 0.057911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007608 | 0.170407 | 1,426 | 62 | 75 | 23 | 0.809806 | 0.059607 | 0 | 0.043478 | 0 | 0 | 0.096413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0 | 0.130435 | 0.021739 | 0.282609 | 0.108696 | 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 |
6ad190f41233de2c7f9d3aa69edc83f906187598 | 5,171 | py | Python | watcher/tests/decision_engine/strategy/strategies/test_base.py | ajaytikoo/watcher | 6dbac1f6ae7f3e10dfdcef5721fa4af7af54e159 | [
"Apache-2.0"
] | 64 | 2015-10-18T02:57:24.000Z | 2022-01-13T11:27:51.000Z | watcher/tests/decision_engine/strategy/strategies/test_base.py | ajaytikoo/watcher | 6dbac1f6ae7f3e10dfdcef5721fa4af7af54e159 | [
"Apache-2.0"
] | null | null | null | watcher/tests/decision_engine/strategy/strategies/test_base.py | ajaytikoo/watcher | 6dbac1f6ae7f3e10dfdcef5721fa4af7af54e159 | [
"Apache-2.0"
] | 35 | 2015-12-25T13:53:21.000Z | 2021-07-19T15:50:16.000Z | # -*- encoding: utf-8 -*-
# Copyright (c) 2019 European Organization for Nuclear Research (CERN)
#
# 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... | 36.673759 | 76 | 0.705473 | 623 | 5,171 | 5.675762 | 0.272873 | 0.027998 | 0.046663 | 0.056561 | 0.554299 | 0.465215 | 0.413744 | 0.386029 | 0.353224 | 0.353224 | 0 | 0.002446 | 0.209244 | 5,171 | 140 | 77 | 36.935714 | 0.862314 | 0.245794 | 0 | 0.460526 | 0 | 0 | 0.046126 | 0 | 0 | 0 | 0 | 0.007143 | 0.065789 | 1 | 0.105263 | false | 0 | 0.092105 | 0 | 0.236842 | 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 |
6ad243bce2bf880a6b70228da5819c87e92c557b | 776 | py | Python | test/test_sampler.py | pfnet-research/autogbt-alt | 57f7ae1bce2923d11f73c3631e34be49c7dd25da | [
"MIT"
] | 83 | 2019-04-01T05:45:37.000Z | 2021-04-13T02:33:04.000Z | test/test_sampler.py | pfnet-research/autogbt-alt | 57f7ae1bce2923d11f73c3631e34be49c7dd25da | [
"MIT"
] | null | null | null | test/test_sampler.py | pfnet-research/autogbt-alt | 57f7ae1bce2923d11f73c3631e34be49c7dd25da | [
"MIT"
] | 10 | 2019-04-15T03:15:42.000Z | 2020-03-30T11:52:12.000Z | import numpy as np
import pandas as pd
from autogbt.sampler import MajorityUnderSampler
def _test_sample(y):
sampler = MajorityUnderSampler()
idx = sampler.sample(y, 40000, 3.0)
assert len(idx) == 40000
assert y[idx].sum() == 10000
def test_sample_with_series():
y = pd.Series(np.concatenate([np.... | 23.515152 | 73 | 0.640464 | 111 | 776 | 4.342342 | 0.315315 | 0.124481 | 0.114108 | 0.153527 | 0.493776 | 0.435685 | 0.153527 | 0.153527 | 0 | 0 | 0 | 0.108065 | 0.201031 | 776 | 32 | 74 | 24.25 | 0.669355 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.166667 | 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 |
6ad3e60ef95d7e5c040fd394c92201b95875defd | 1,155 | py | Python | main.py | thewhiteninja/twitch-recorder | 815b571e22917daa906d054a8ab2fe794e99bb8a | [
"MIT"
] | null | null | null | main.py | thewhiteninja/twitch-recorder | 815b571e22917daa906d054a8ab2fe794e99bb8a | [
"MIT"
] | null | null | null | main.py | thewhiteninja/twitch-recorder | 815b571e22917daa906d054a8ab2fe794e99bb8a | [
"MIT"
] | null | null | null | import glob
import os
import sys
import utils
from recorder import StreamRec
OUTDIR = ""
def parse_args(a):
global OUTDIR
i = 1
while i < len(a):
if a[i] in ["-h", "--help", "/?"]:
usage()
if a[i] in ["-d", "--dir"]:
OUTDIR = a[i + 1]
i += 1
i ... | 20.625 | 91 | 0.565368 | 158 | 1,155 | 4 | 0.411392 | 0.012658 | 0.012658 | 0.018987 | 0.063291 | 0.063291 | 0 | 0 | 0 | 0 | 0 | 0.007282 | 0.28658 | 1,155 | 55 | 92 | 21 | 0.759709 | 0 | 0 | 0.139535 | 0 | 0 | 0.204329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0.116279 | 0 | 0.209302 | 0.186047 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ad40da9c9320f7c8df4a83d064f6172f24c03ec | 2,268 | py | Python | karbor-1.3.0/karbor/policies/protectables.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | null | null | null | karbor-1.3.0/karbor/policies/protectables.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | karbor-1.3.0/karbor/policies/protectables.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright (c) 2017 Huawei Technologies Co., Ltd.
# 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
#
# ... | 31.068493 | 78 | 0.619489 | 238 | 2,268 | 5.718487 | 0.42437 | 0.044085 | 0.035268 | 0.052902 | 0.398971 | 0.314475 | 0.314475 | 0.277737 | 0.191036 | 0.191036 | 0 | 0.004963 | 0.289242 | 2,268 | 72 | 79 | 31.5 | 0.83933 | 0.272928 | 0 | 0.392157 | 0 | 0 | 0.234394 | 0.111383 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.039216 | 0.019608 | 0.078431 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ad467fa9905c0ca84ad3c1dc298047956f35818 | 252 | py | Python | notebooks/2018.11.09 Meeting.py | costrouc/uarray | c3c42147181a88265942ad5f9cf439467f746782 | [
"BSD-3-Clause"
] | null | null | null | notebooks/2018.11.09 Meeting.py | costrouc/uarray | c3c42147181a88265942ad5f9cf439467f746782 | [
"BSD-3-Clause"
] | null | null | null | notebooks/2018.11.09 Meeting.py | costrouc/uarray | c3c42147181a88265942ad5f9cf439467f746782 | [
"BSD-3-Clause"
] | null | null | null | #%%
from uarray.core import *
#%%
s = Scalar(Int(10))
#%%
@operation
def Always(a: T) -> CCallableUnary[T, CContent]:
...
#%%
register(Call(Always(w("a")), w("idx")), lambda a, idx: a)
#%%
a_ten = Always(s)
#%%
s = Sequence(Int(10), a_ten)
| 10.956522 | 58 | 0.559524 | 37 | 252 | 3.756757 | 0.594595 | 0.071942 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019417 | 0.18254 | 252 | 22 | 59 | 11.454545 | 0.65534 | 0.047619 | 0 | 0 | 0 | 0 | 0.017094 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 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 |
6ad4fd638f3c8440ee1f4046774d447aac8466fb | 2,540 | py | Python | var/spack/repos/builtin/packages/py-black/package.py | dwstreetNNL/spack | 8f929707147c49606d00386a10161529dad4ec56 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/py-black/package.py | dwstreetNNL/spack | 8f929707147c49606d00386a10161529dad4ec56 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | var/spack/repos/builtin/packages/py-black/package.py | dwstreetNNL/spack | 8f929707147c49606d00386a10161529dad4ec56 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | null | null | null | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyBlack(PythonPackage):
"""Black is the uncompromising Python code formatter. By using it,... | 47.924528 | 96 | 0.663386 | 354 | 2,540 | 4.70904 | 0.446328 | 0.086383 | 0.09898 | 0.14817 | 0.25135 | 0.238152 | 0.210558 | 0.188362 | 0.154769 | 0 | 0 | 0.115509 | 0.144488 | 2,540 | 52 | 97 | 48.846154 | 0.651634 | 0.250394 | 0 | 0 | 0 | 0.033333 | 0.446695 | 0.141258 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.066667 | 0 | 0.233333 | 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 |
6ad54c23aea43b34f6b32a39f371e9919e5e2f64 | 3,772 | py | Python | store/adminshop/templatetags/admin_extras.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | store/adminshop/templatetags/admin_extras.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | store/adminshop/templatetags/admin_extras.py | vallemrv/my_store_test | 2da624fd02c5f1784464f15b751b488f3dd2bae6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# @Author: Manuel Rodriguez <valle>
# @Date: 27-Aug-2017
# @Email: valle.mrv@gmail.com
# @Filename: admin_extras.py
# @Last modified by: valle
# @Last modified time: 02-Feb-2018
# @License: Apache license vesion 2.0
from django import template
from django.db.models import Q
try:
from ... | 24.980132 | 72 | 0.656946 | 535 | 3,772 | 4.48972 | 0.271028 | 0.110741 | 0.112406 | 0.034971 | 0.202748 | 0.162365 | 0.147377 | 0.124896 | 0.105745 | 0.046628 | 0 | 0.009539 | 0.194062 | 3,772 | 150 | 73 | 25.146667 | 0.779934 | 0.060445 | 0 | 0.214286 | 0 | 0 | 0.091655 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.071429 | 0.089286 | 0.491071 | 0.008929 | 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 |
6ad59b00bcc766f57088e62e448110d102b95431 | 17,165 | py | Python | doc/tutorial/using_gpu_solution_1.py | abdalazizrashid/Theano-PyMC | 90fa750461e91fb6281d494ae86404e2153fd7eb | [
"BSD-3-Clause"
] | null | null | null | doc/tutorial/using_gpu_solution_1.py | abdalazizrashid/Theano-PyMC | 90fa750461e91fb6281d494ae86404e2153fd7eb | [
"BSD-3-Clause"
] | null | null | null | doc/tutorial/using_gpu_solution_1.py | abdalazizrashid/Theano-PyMC | 90fa750461e91fb6281d494ae86404e2153fd7eb | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Aesara tutorial
# Solution to Exercise in section 'Using the GPU'
# 1. Raw results
import numpy as np
import aesara
import aesara.tensor as tt
aesara.config.floatX = "float32"
rng = np.random
N = 400
feats = 784
D = (
rng.randn(N, feats).astype(aesara.config.floatX),
rng.randint... | 62.192029 | 374 | 0.579435 | 2,707 | 17,165 | 3.629479 | 0.16956 | 0.015878 | 0.017812 | 0.029415 | 0.567226 | 0.45028 | 0.381069 | 0.344733 | 0.27888 | 0.250483 | 0 | 0.197341 | 0.268162 | 17,165 | 275 | 375 | 62.418182 | 0.584779 | 0.024061 | 0 | 0.075472 | 0 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.056604 | 0 | 0.056604 | 0.150943 | 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 |
6ad5dcf7e9f96dc2d1c33142dc858481b208540e | 1,242 | py | Python | chainercv/transforms/bbox/translate_bbox.py | souravsingh/chainercv | 8f76510472bc95018c183e72f37bc6c34a89969c | [
"MIT"
] | 1 | 2018-08-24T02:28:31.000Z | 2018-08-24T02:28:31.000Z | chainercv/transforms/bbox/translate_bbox.py | souravsingh/chainercv | 8f76510472bc95018c183e72f37bc6c34a89969c | [
"MIT"
] | null | null | null | chainercv/transforms/bbox/translate_bbox.py | souravsingh/chainercv | 8f76510472bc95018c183e72f37bc6c34a89969c | [
"MIT"
] | 2 | 2019-12-16T02:20:26.000Z | 2022-01-17T02:00:49.000Z | def translate_bbox(bbox, y_offset=0, x_offset=0):
"""Translate bounding boxes.
This method is mainly used together with image transforms, such as padding
and cropping, which translates the left top point of the image from
coordinate :math:`(0, 0)` to coordinate
:math:`(y, x) = (y_{offset}, x_{offse... | 37.636364 | 78 | 0.65942 | 190 | 1,242 | 4.210526 | 0.415789 | 0.0975 | 0.03 | 0.0525 | 0.2075 | 0.2075 | 0.2075 | 0.0775 | 0 | 0 | 0 | 0.008439 | 0.236715 | 1,242 | 32 | 79 | 38.8125 | 0.835443 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ad9fa52c59620d080c895b1dcbcc37ef6f3e407 | 504 | py | Python | behave/features/environment.py | ministryofjustice/cla-end-to-end-tests | 3d7e525c17f38403a91087c2b1af460ca1109a9b | [
"MIT"
] | 1 | 2022-02-09T13:12:57.000Z | 2022-02-09T13:12:57.000Z | behave/features/environment.py | ministryofjustice/cla-end-to-end-tests | 3d7e525c17f38403a91087c2b1af460ca1109a9b | [
"MIT"
] | 3 | 2021-09-16T12:24:44.000Z | 2022-03-08T10:21:26.000Z | behave/features/environment.py | ministryofjustice/cla-end-to-end-tests | 3d7e525c17f38403a91087c2b1af460ca1109a9b | [
"MIT"
] | null | null | null | import os
from configparser import ConfigParser
from helper.helper_web import get_browser
def before_all(context):
config = ConfigParser()
print((os.path.join(os.getcwd(), 'setup.cfg')))
my_file = (os.path.join(os.getcwd(), 'setup.cfg'))
config.read(my_file)
# Reading the browser type from the c... | 28 | 67 | 0.71627 | 67 | 504 | 5.253731 | 0.462687 | 0.056818 | 0.056818 | 0.068182 | 0.147727 | 0.147727 | 0.147727 | 0 | 0 | 0 | 0 | 0 | 0.164683 | 504 | 18 | 68 | 28 | 0.836105 | 0.103175 | 0 | 0 | 0 | 0 | 0.079823 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.25 | 0 | 0.416667 | 0.083333 | 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 |
6ada8f8c31036f868e794a58c29dd691ac89f964 | 2,422 | py | Python | recipe_organizer/gui/recipe_list/recipe_source.py | j-sommer/recipe-organizer | 91d39e12c453ecf3d3254645b565bbceacaecde9 | [
"MIT"
] | null | null | null | recipe_organizer/gui/recipe_list/recipe_source.py | j-sommer/recipe-organizer | 91d39e12c453ecf3d3254645b565bbceacaecde9 | [
"MIT"
] | null | null | null | recipe_organizer/gui/recipe_list/recipe_source.py | j-sommer/recipe-organizer | 91d39e12c453ecf3d3254645b565bbceacaecde9 | [
"MIT"
] | null | null | null | from pathlib import Path
from tkinter import Frame, Label
from recipe_organizer.events.event import Event, EventType
from recipe_organizer.events.event_observer import EventObserver
from recipe_organizer.events.event_publisher import EventPublisher
from recipe_organizer.gui.interfaces.widget_container import WidgetCon... | 34.112676 | 111 | 0.671346 | 284 | 2,422 | 5.366197 | 0.320423 | 0.052493 | 0.074803 | 0.049213 | 0.170604 | 0.081365 | 0.03937 | 0 | 0 | 0 | 0 | 0.006547 | 0.243187 | 2,422 | 70 | 112 | 34.6 | 0.824877 | 0 | 0 | 0.038462 | 0 | 0 | 0.006606 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134615 | false | 0.019231 | 0.153846 | 0 | 0.403846 | 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 |
6ada8fe0ced127e4eb158cbef0bc674aa2bd2da2 | 917 | py | Python | var/spack/repos/builtin/packages/spot/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2020-05-24T15:23:12.000Z | 2020-05-24T15:23:12.000Z | var/spack/repos/builtin/packages/spot/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 6 | 2022-02-26T11:44:34.000Z | 2022-03-12T12:14:50.000Z | var/spack/repos/builtin/packages/spot/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 1 | 2021-01-06T18:58:26.000Z | 2021-01-06T18:58:26.000Z | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Spot(AutotoolsPackage):
"""Spot is a C++11 library for omega-automata manipulation and mod... | 38.208333 | 96 | 0.707743 | 120 | 917 | 5.375 | 0.616667 | 0.018605 | 0.069767 | 0.049612 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15443 | 0.138495 | 917 | 23 | 97 | 39.869565 | 0.662025 | 0.288986 | 0 | 0 | 0 | 0.090909 | 0.507862 | 0.201258 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 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 |
6adce2d4edcce50b7803e777bec26f0e2dbe1ef5 | 8,165 | py | Python | GPT-distributed.py | wenhuchen/LogicNLG | e986516e5b6d310219215510b3fe1603d03215cd | [
"MIT"
] | 141 | 2020-04-23T03:30:16.000Z | 2022-03-19T08:36:31.000Z | GPT-distributed.py | wenhuchen/LogicNLG | e986516e5b6d310219215510b3fe1603d03215cd | [
"MIT"
] | 15 | 2020-04-26T07:12:30.000Z | 2021-06-10T16:40:35.000Z | GPT-distributed.py | wenhuchen/LogicNLG | e986516e5b6d310219215510b3fe1603d03215cd | [
"MIT"
] | 20 | 2020-04-27T03:07:10.000Z | 2022-01-22T22:13:15.000Z | import argparse
import logging
import torch
import torch.nn.functional as F
import numpy as np
from torch import nn
from torch.autograd import Variable
from transformers import GPT2Config
from transformers import GPT2LMHeadModel, GPT2Tokenizer, BertTokenizer
from DataLoader import *
from Model import BERTGen
from utils... | 47.196532 | 145 | 0.643846 | 1,068 | 8,165 | 4.779026 | 0.23221 | 0.04761 | 0.089929 | 0.049961 | 0.380486 | 0.330525 | 0.3029 | 0.27116 | 0.248824 | 0.239616 | 0 | 0.012314 | 0.23417 | 8,165 | 173 | 146 | 47.196532 | 0.803934 | 0.017759 | 0 | 0.135714 | 0 | 0 | 0.180095 | 0.012721 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007143 | false | 0 | 0.185714 | 0 | 0.192857 | 0.014286 | 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 |
6addc56efc2458ffaaa37a8a1a9d3060123eac26 | 9,901 | py | Python | bentoml/saved_bundle/loader.py | niits/BentoML | 3954f36762e10f5df15af7e0ae6dd71f5f214261 | [
"Apache-2.0"
] | 3,451 | 2019-04-02T01:47:42.000Z | 2022-03-31T16:20:49.000Z | bentoml/saved_bundle/loader.py | niits/BentoML | 3954f36762e10f5df15af7e0ae6dd71f5f214261 | [
"Apache-2.0"
] | 1,925 | 2019-04-03T00:19:05.000Z | 2022-03-31T22:41:54.000Z | bentoml/saved_bundle/loader.py | niits/BentoML | 3954f36762e10f5df15af7e0ae6dd71f5f214261 | [
"Apache-2.0"
] | 451 | 2019-04-02T01:53:41.000Z | 2022-03-29T08:49:06.000Z | # Copyright 2019 Atalaya Tech, Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, ... | 35.487455 | 86 | 0.692051 | 1,287 | 9,901 | 5.094017 | 0.24087 | 0.089994 | 0.032032 | 0.024405 | 0.269372 | 0.202257 | 0.155583 | 0.109213 | 0.087401 | 0.087401 | 0 | 0.005518 | 0.23129 | 9,901 | 278 | 87 | 35.615108 | 0.855867 | 0.248965 | 0 | 0.174419 | 0 | 0 | 0.089266 | 0.009036 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.180233 | 0.011628 | 0.319767 | 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 |
6adecc40e2158fa98b341e37dfb8d034335bed2b | 1,267 | py | Python | gen-post.py | younghk/younghk.netlify.com | 605ab089252127c0b768d31afb027e8896ae33b4 | [
"MIT"
] | null | null | null | gen-post.py | younghk/younghk.netlify.com | 605ab089252127c0b768d31afb027e8896ae33b4 | [
"MIT"
] | null | null | null | gen-post.py | younghk/younghk.netlify.com | 605ab089252127c0b768d31afb027e8896ae33b4 | [
"MIT"
] | null | null | null | import os
import errno
from datetime import datetime
print("Generating A New Post\n")
post_name = input('Input Post Name: ')
date_time = datetime.now()
date_time_dir = date_time.strftime("%Y-%m-%d")
date_time_post = date_time.strftime("%Y-%m-%d %H:%M:%S")
p_name = post_name.replace(" ","-")
p_name = p_name.replace(... | 23.462963 | 56 | 0.561168 | 194 | 1,267 | 3.515464 | 0.314433 | 0.175953 | 0.102639 | 0.105572 | 0.35044 | 0.23607 | 0.080645 | 0.080645 | 0.080645 | 0.080645 | 0 | 0 | 0.195738 | 1,267 | 54 | 57 | 23.462963 | 0.669284 | 0 | 0 | 0.266667 | 0 | 0 | 0.235804 | 0.016562 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0.088889 | 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 |
6ae0041ec06abb5f41acc8d9e0ad54c9727be449 | 39,758 | py | Python | rmgpy/reactionTest.py | Lyle-zhang/RMG-Py | 273eb51fa3c175562056c85d7d61814d5fa2986d | [
"MIT"
] | null | null | null | rmgpy/reactionTest.py | Lyle-zhang/RMG-Py | 273eb51fa3c175562056c85d7d61814d5fa2986d | [
"MIT"
] | null | null | null | rmgpy/reactionTest.py | Lyle-zhang/RMG-Py | 273eb51fa3c175562056c85d7d61814d5fa2986d | [
"MIT"
] | 1 | 2021-08-14T13:47:18.000Z | 2021-08-14T13:47:18.000Z | #!/usr/bin/env python
# encoding: utf-8 -*-
"""
This module contains unit tests of the rmgpy.reaction module.
"""
import numpy
import unittest
from external.wip import work_in_progress
from rmgpy.species import Species, TransitionState
from rmgpy.reaction import Reaction
from rmgpy.statmech.translation import Transl... | 42.567452 | 208 | 0.566452 | 4,000 | 39,758 | 5.6075 | 0.14475 | 0.049844 | 0.018457 | 0.030762 | 0.702185 | 0.672893 | 0.657289 | 0.61975 | 0.600713 | 0.566295 | 0 | 0.069843 | 0.303159 | 39,758 | 933 | 209 | 42.613076 | 0.739758 | 0.082575 | 0 | 0.626591 | 0 | 0 | 0.046929 | 0 | 0 | 0 | 0 | 0 | 0.154173 | 1 | 0.048091 | false | 0 | 0.029703 | 0.004243 | 0.087694 | 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 |
6ae09675e3f04c208d0aada0fe5dc7452f3a90fa | 9,402 | py | Python | python/video_ADG.py | alexberndt/mobile-AGV-optimization | 76b97fd5aa3898fd6cb6f74f8d87140555c92af5 | [
"MIT"
] | 2 | 2021-12-22T03:07:08.000Z | 2022-03-19T09:41:29.000Z | python/video_ADG.py | alexberndt/mobile-AGV-optimization | 76b97fd5aa3898fd6cb6f74f8d87140555c92af5 | [
"MIT"
] | null | null | null | python/video_ADG.py | alexberndt/mobile-AGV-optimization | 76b97fd5aa3898fd6cb6f74f8d87140555c92af5 | [
"MIT"
] | 1 | 2021-11-22T10:58:38.000Z | 2021-11-22T10:58:38.000Z | """
closed-loop MILP solved to determine optimal ordering defined by ADG
"""
import sys
import yaml
import time
import matplotlib.colors as mcolors
import matplotlib
import matplotlib.pyplot as plt
import random
import logging
import time
import networkx as nx
import csv
import statistics as stat
import os
import ... | 40.008511 | 251 | 0.623591 | 1,199 | 9,402 | 4.654712 | 0.251043 | 0.057875 | 0.018635 | 0.017201 | 0.086364 | 0.0611 | 0.049812 | 0.035119 | 0 | 0 | 0 | 0.009113 | 0.241332 | 9,402 | 234 | 252 | 40.179487 | 0.773307 | 0.153903 | 0 | 0.073171 | 0 | 0 | 0.147679 | 0.008695 | 0 | 0 | 0 | 0 | 0 | 1 | 0.006098 | false | 0.006098 | 0.134146 | 0 | 0.140244 | 0.012195 | 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 |
6ae26b063b0fbd07c2ce06161f218674d84af1d4 | 1,119 | py | Python | ice/consoles.py | reavessm/Ice | e78d046abfd6006b1a81d1cbdb516b7c3e141ac9 | [
"MIT"
] | 578 | 2015-01-02T12:43:52.000Z | 2022-03-27T23:45:32.000Z | ice/consoles.py | reavessm/Ice | e78d046abfd6006b1a81d1cbdb516b7c3e141ac9 | [
"MIT"
] | 271 | 2015-01-05T01:56:38.000Z | 2021-08-14T02:51:24.000Z | ice/consoles.py | reavessm/Ice | e78d046abfd6006b1a81d1cbdb516b7c3e141ac9 | [
"MIT"
] | 156 | 2015-01-07T15:43:20.000Z | 2021-12-11T19:10:44.000Z | # encoding: utf-8
import os
import roms
def console_roms_directory(configuration, console):
"""
If the user has specified a custom ROMs directory in consoles.txt then
return that.
Otherwise, append the shortname of the console to the default ROMs
directory given by config.txt.
"""
if console.custom_ro... | 31.971429 | 98 | 0.747096 | 162 | 1,119 | 5.092593 | 0.475309 | 0.094545 | 0.069091 | 0.08 | 0.077576 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001081 | 0.173369 | 1,119 | 34 | 99 | 32.911765 | 0.890811 | 0.49151 | 0 | 0 | 0 | 0 | 0.003745 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.153846 | 0 | 0.615385 | 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 |
6ae285af81cb46f32301f55fbf5e2dcaee2e26e6 | 5,527 | py | Python | clue/c3.py | dumpmemory/roformer-v2 | 95b71ae03b8bb910998285e194d7752b1e4104c0 | [
"Apache-2.0"
] | 44 | 2022-03-17T02:58:27.000Z | 2022-03-31T13:08:29.000Z | clue/c3.py | dumpmemory/roformer-v2 | 95b71ae03b8bb910998285e194d7752b1e4104c0 | [
"Apache-2.0"
] | null | null | null | clue/c3.py | dumpmemory/roformer-v2 | 95b71ae03b8bb910998285e194d7752b1e4104c0 | [
"Apache-2.0"
] | 2 | 2022-03-17T05:47:06.000Z | 2022-03-22T10:33:54.000Z | #! -*- coding:utf-8 -*-
# CLUE评测
# c3多项选择阅读理解
# 思路:每个选项分别与问题、篇章拼接后打分排序
import json
import numpy as np
from snippets import *
from bert4keras.backend import keras
from bert4keras.snippets import sequence_padding, DataGenerator
from bert4keras.snippets import open
from bert4keras.snippets import truncate_sequences
from ... | 29.089474 | 79 | 0.599602 | 749 | 5,527 | 4.162884 | 0.256342 | 0.028865 | 0.029185 | 0.032072 | 0.257858 | 0.220334 | 0.173509 | 0.154907 | 0.076972 | 0.039128 | 0 | 0.01716 | 0.272481 | 5,527 | 189 | 80 | 29.243386 | 0.758269 | 0.041071 | 0 | 0.134328 | 0 | 0 | 0.059115 | 0.009535 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059701 | false | 0 | 0.059701 | 0 | 0.164179 | 0.007463 | 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 |
6ae4d12e5b6c5a2ce81f0095493d76c6afcfb99b | 3,481 | py | Python | logpy/util.py | mrocklin/logpy | 7e32f4da10a0ab5b86fb23947cfce9a4d49c6b3f | [
"BSD-3-Clause"
] | 1 | 2016-09-20T16:05:12.000Z | 2016-09-20T16:05:12.000Z | logpy/util.py | mrocklin/logpy | 7e32f4da10a0ab5b86fb23947cfce9a4d49c6b3f | [
"BSD-3-Clause"
] | null | null | null | logpy/util.py | mrocklin/logpy | 7e32f4da10a0ab5b86fb23947cfce9a4d49c6b3f | [
"BSD-3-Clause"
] | null | null | null | import itertools as it
from toolz.compatibility import range, map, iteritems
def hashable(x):
try:
hash(x)
return True
except TypeError:
return False
def transitive_get(key, d):
""" Transitive dict.get
>>> from logpy.util import transitive_get
>>> d = {1: 2, 2: 3, 3: 4}
... | 24.687943 | 67 | 0.545246 | 482 | 3,481 | 3.879668 | 0.278008 | 0.076471 | 0.027807 | 0.040642 | 0.110695 | 0.059893 | 0 | 0 | 0 | 0 | 0 | 0.02292 | 0.323183 | 3,481 | 140 | 68 | 24.864286 | 0.770798 | 0.214019 | 0 | 0.215909 | 0 | 0 | 0.020046 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.159091 | false | 0.045455 | 0.022727 | 0.022727 | 0.420455 | 0.022727 | 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 |
6ae561e06496768e94110f91362d5a5eeb524bdb | 545 | py | Python | index.py | rinocloud/rinobot-plugin-shift | 4f7f16a5e610b91b64377733d24b6ab4b63daa67 | [
"MIT"
] | null | null | null | index.py | rinocloud/rinobot-plugin-shift | 4f7f16a5e610b91b64377733d24b6ab4b63daa67 | [
"MIT"
] | null | null | null | index.py | rinocloud/rinobot-plugin-shift | 4f7f16a5e610b91b64377733d24b6ab4b63daa67 | [
"MIT"
] | null | null | null | import rinobot_plugin as bot
import numpy as np
def main():
# lets get our parameters and data
filepath = bot.filepath()
data = bot.loadfile(filepath)
# now comes the custom plugin logic
shift = bot.get_arg('shift', type=float, required=True)
index = bot.index_from_args(data)
data[index] =... | 25.952381 | 59 | 0.669725 | 77 | 545 | 4.558442 | 0.584416 | 0.051282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.218349 | 545 | 20 | 60 | 27.25 | 0.823944 | 0.168807 | 0 | 0 | 0 | 0 | 0.057906 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.230769 | 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 |