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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d9a00b2c6f1a0e88ad5b4a7def2a45bd074f417f | 3,880 | py | Python | pypagai/models/model_lstm.py | gcouti/pypagAI | d08fac95361dcc036d890a88cb86ce090322a612 | [
"Apache-2.0"
] | 1 | 2018-07-24T18:53:26.000Z | 2018-07-24T18:53:26.000Z | pypagai/models/model_lstm.py | gcouti/pypagAI | d08fac95361dcc036d890a88cb86ce090322a612 | [
"Apache-2.0"
] | 7 | 2020-01-28T21:45:14.000Z | 2022-03-11T23:20:53.000Z | pypagai/models/model_lstm.py | gcouti/pypagAI | d08fac95361dcc036d890a88cb86ce090322a612 | [
"Apache-2.0"
] | null | null | null | from keras import Model, Input
from keras.layers import Dense, concatenate, LSTM, Reshape, Permute, Embedding, Dropout, Convolution1D, Flatten
from keras.optimizers import Adam
from pypagai.models.base import KerasModel
class SimpleLSTM(KerasModel):
"""
Use a simple lstm neural network
"""
@staticmet... | 33.162393 | 114 | 0.650773 | 460 | 3,880 | 5.226087 | 0.171739 | 0.040765 | 0.037854 | 0.034942 | 0.851498 | 0.851498 | 0.835691 | 0.811564 | 0.741681 | 0.741681 | 0 | 0.022069 | 0.217526 | 3,880 | 116 | 115 | 33.448276 | 0.769763 | 0.043041 | 0 | 0.694444 | 0 | 0 | 0.064648 | 0.025368 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.055556 | 0 | 0.263889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
d9fe73cee8f0ad5d98f81eb365b256cba7970cbe | 13,093 | gyp | Python | third_party/protobuf/protobuf.gyp | meego-tablet-ux/meego-app-browser | 0f4ef17bd4b399c9c990a2f6ca939099495c2b9c | [
"BSD-3-Clause"
] | 1 | 2015-10-12T09:14:22.000Z | 2015-10-12T09:14:22.000Z | third_party/protobuf/protobuf.gyp | meego-tablet-ux/meego-app-browser | 0f4ef17bd4b399c9c990a2f6ca939099495c2b9c | [
"BSD-3-Clause"
] | null | null | null | third_party/protobuf/protobuf.gyp | meego-tablet-ux/meego-app-browser | 0f4ef17bd4b399c9c990a2f6ca939099495c2b9c | [
"BSD-3-Clause"
] | 1 | 2020-11-04T07:22:28.000Z | 2020-11-04T07:22:28.000Z | # Copyright (c) 2009 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'conditions': [
['OS!="win"', {
'variables': {
'config_h_dir':
'.', # crafted for gcc/linux.
},
}, { # else, ... | 41.302839 | 81 | 0.621554 | 1,560 | 13,093 | 5.064103 | 0.186538 | 0.269367 | 0.273291 | 0.196203 | 0.700127 | 0.478734 | 0.360633 | 0.256582 | 0.064937 | 0.025949 | 0 | 0.002701 | 0.236462 | 13,093 | 316 | 82 | 41.433544 | 0.787536 | 0.21523 | 0 | 0.218107 | 0 | 0 | 0.677521 | 0.62348 | 0 | 0 | 0 | 0.003165 | 0 | 1 | 0 | true | 0 | 0.00823 | 0 | 0.00823 | 0.00823 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
8a04ff873e3cd041bc9cad7f7fc7707f7c185cce | 6,652 | py | Python | invera/api/tests.py | LeoLeiva/todo-challenge | f6f24f53758eb4e425c91516bcab7af8cad66814 | [
"MIT"
] | null | null | null | invera/api/tests.py | LeoLeiva/todo-challenge | f6f24f53758eb4e425c91516bcab7af8cad66814 | [
"MIT"
] | null | null | null | invera/api/tests.py | LeoLeiva/todo-challenge | f6f24f53758eb4e425c91516bcab7af8cad66814 | [
"MIT"
] | 1 | 2021-01-10T20:19:42.000Z | 2021-01-10T20:19:42.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import inspect
from task.models import InveraTask
from api.utils import send_test_csv_report
from django.contrib.auth.models import User
from rest_framework.test import APIClient, APITestCase
from rest_framework.reverse import reverse
from rest_framewor... | 37.370787 | 165 | 0.634245 | 783 | 6,652 | 5.203065 | 0.177522 | 0.03731 | 0.029455 | 0.070692 | 0.794551 | 0.77246 | 0.751841 | 0.728031 | 0.707904 | 0.672067 | 0 | 0.004797 | 0.247895 | 6,652 | 177 | 166 | 37.581921 | 0.809514 | 0.065394 | 0 | 0.556452 | 0 | 0 | 0.272831 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072581 | false | 0.193548 | 0.064516 | 0 | 0.153226 | 0.241935 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 |
8a45f1c6e8e51b93e9ab54060af5d33d536b2abf | 75 | py | Python | logger/__init__.py | remmyzen/nqs-tensorflow2 | 2af5d5ebb108eac4d2daa5082bdef11c8107bd1b | [
"MIT"
] | 4 | 2021-07-29T17:52:54.000Z | 2022-02-15T06:32:15.000Z | logger/__init__.py | remmyzen/nqs-tensorflow2 | 2af5d5ebb108eac4d2daa5082bdef11c8107bd1b | [
"MIT"
] | null | null | null | logger/__init__.py | remmyzen/nqs-tensorflow2 | 2af5d5ebb108eac4d2daa5082bdef11c8107bd1b | [
"MIT"
] | null | null | null | from .logger import Logger
from .logger_supervised import LoggerSupervised
| 25 | 47 | 0.866667 | 9 | 75 | 7.111111 | 0.555556 | 0.3125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106667 | 75 | 2 | 48 | 37.5 | 0.955224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
8a50b1905c10bef14015d0bd1e4794d8d3018140 | 38,121 | py | Python | circuitry/circuitry.py | nthparty/circuitry | e8bc8bde93cf5056368a14a21086f18f1bcd934f | [
"MIT"
] | 3 | 2020-06-23T19:11:53.000Z | 2021-01-06T16:42:56.000Z | circuitry/circuitry.py | nthparty/circuitry | e8bc8bde93cf5056368a14a21086f18f1bcd934f | [
"MIT"
] | 4 | 2020-07-28T03:14:59.000Z | 2020-07-28T17:44:25.000Z | circuitry/circuitry.py | nthparty/circuitry | e8bc8bde93cf5056368a14a21086f18f1bcd934f | [
"MIT"
] | 1 | 2020-06-23T19:07:59.000Z | 2020-06-23T19:07:59.000Z | """Embedded DSL for assembling logic circuits.
Embedded domain-specific combinator library for
assembling abstract definitions of logic circuits
and synthesizing circuits from those definitions.
"""
from __future__ import annotations
from typing import Sequence
import doctest
from parts import parts
from circuit impo... | 33.557218 | 92 | 0.440728 | 4,937 | 38,121 | 3.332388 | 0.054081 | 0.019815 | 0.020058 | 0.033613 | 0.744104 | 0.721736 | 0.710005 | 0.703319 | 0.686725 | 0.684658 | 0 | 0.028745 | 0.347499 | 38,121 | 1,135 | 93 | 33.586784 | 0.632669 | 0.554943 | 0 | 0.296748 | 0 | 0 | 0.008636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.341463 | false | 0 | 0.020325 | 0.02439 | 0.747967 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
8a54efc9a7ad3665cabc7b4468043314dcb3122b | 3,743 | py | Python | test/test_downloadfile.py | foliant-docs/foliantcontrib.downloadfile | 1af9481f9bc9142d8b1ac1eff93fa0c5577ccaec | [
"MIT"
] | null | null | null | test/test_downloadfile.py | foliant-docs/foliantcontrib.downloadfile | 1af9481f9bc9142d8b1ac1eff93fa0c5577ccaec | [
"MIT"
] | null | null | null | test/test_downloadfile.py | foliant-docs/foliantcontrib.downloadfile | 1af9481f9bc9142d8b1ac1eff93fa0c5577ccaec | [
"MIT"
] | null | null | null | import shutil
from pathlib import Path
from unittest import TestCase
from unittest.mock import Mock
from unittest.mock import patch
from foliant.config.downloadfile import download_file
from foliant.config.downloadfile import get_file_ext_from_url
from foliant.config.downloadfile import get_file_name_from_url
class... | 32.833333 | 76 | 0.663906 | 480 | 3,743 | 4.972917 | 0.177083 | 0.041475 | 0.052786 | 0.064097 | 0.804357 | 0.780897 | 0.780897 | 0.745706 | 0.745706 | 0.722246 | 0 | 0.003081 | 0.21961 | 3,743 | 113 | 77 | 33.123894 | 0.814105 | 0 | 0 | 0.623529 | 0 | 0 | 0.169116 | 0.036067 | 0 | 0 | 0 | 0 | 0.176471 | 1 | 0.129412 | false | 0.011765 | 0.094118 | 0 | 0.258824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
8a7777964dadf66bcb5c8207f5f26c1301e49cee | 3,977 | py | Python | libsaas/services/twilio/applications.py | MidtownFellowship/libsaas | 541bb731b996b08ede1d91a235cb82895765c38a | [
"MIT"
] | 155 | 2015-01-27T15:17:59.000Z | 2022-02-20T00:14:08.000Z | libsaas/services/twilio/applications.py | MidtownFellowship/libsaas | 541bb731b996b08ede1d91a235cb82895765c38a | [
"MIT"
] | 14 | 2015-01-12T08:22:37.000Z | 2021-06-16T19:49:31.000Z | libsaas/services/twilio/applications.py | MidtownFellowship/libsaas | 541bb731b996b08ede1d91a235cb82895765c38a | [
"MIT"
] | 43 | 2015-01-28T22:41:45.000Z | 2021-09-21T04:44:26.000Z | from libsaas import http, parsers
from libsaas.services import base
from libsaas.services.twilio import resource
class ApplicationsBase(resource.TwilioResource):
path = 'Applications'
class Application(ApplicationsBase):
def create(self, *args, **kwargs):
raise base.MethodNotSupported()
class A... | 28.007042 | 78 | 0.652753 | 458 | 3,977 | 5.648472 | 0.220524 | 0.027831 | 0.048705 | 0.0661 | 0.752223 | 0.734441 | 0.734441 | 0.730576 | 0.695787 | 0.67298 | 0 | 0.007187 | 0.265275 | 3,977 | 141 | 79 | 28.205674 | 0.878166 | 0.378175 | 0 | 0.68 | 0 | 0 | 0.024778 | 0.009818 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0.04 | 0.06 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
8a8c957af09c1662e1613d8819301ef9871bcd5c | 5,914 | py | Python | tensorflow/python/ops/standard_ops.py | ashutom/tensorflow-upstream | c16069c19de9e286dd664abb78d0ea421e9f32d4 | [
"Apache-2.0"
] | 8 | 2021-08-03T03:57:10.000Z | 2021-12-13T01:19:02.000Z | tensorflow/python/ops/standard_ops.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 17 | 2021-08-12T19:38:42.000Z | 2022-01-27T14:39:35.000Z | tensorflow/python/ops/standard_ops.py | CaptainGizzy21/tensorflow | 3457a2b122e50b4d44ceaaed5a663d635e5c22df | [
"Apache-2.0"
] | 4 | 2022-01-13T11:23:44.000Z | 2022-03-02T11:11:42.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 46.936508 | 93 | 0.825668 | 875 | 5,914 | 5.410286 | 0.244571 | 0.227714 | 0.325306 | 0.34981 | 0.5921 | 0.53929 | 0.367343 | 0.277989 | 0.118293 | 0.025771 | 0 | 0.001496 | 0.095536 | 5,914 | 125 | 94 | 47.312 | 0.88353 | 0.263274 | 0 | 0 | 0 | 0 | 0.001621 | 0 | 0 | 0 | 0 | 0.008 | 0.012048 | 1 | 0 | true | 0 | 0.963855 | 0 | 0.963855 | 0.012048 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0a06508cf532e568943c2d6f9f6d327c4504fc73 | 56 | py | Python | starry/_core/ops/lib/include/oblate/tests/test_derivs.py | rodluger/starry | da7fee48c5ef94278f0047be0579e2f13492cdd5 | [
"MIT"
] | 116 | 2018-02-23T19:47:15.000Z | 2022-02-21T04:43:46.000Z | starry/_core/ops/lib/include/oblate/tests/test_derivs.py | rodluger/starry | da7fee48c5ef94278f0047be0579e2f13492cdd5 | [
"MIT"
] | 224 | 2018-02-26T00:41:51.000Z | 2022-03-29T10:38:16.000Z | starry/_core/ops/lib/include/oblate/tests/test_derivs.py | rodluger/starry | da7fee48c5ef94278f0047be0579e2f13492cdd5 | [
"MIT"
] | 25 | 2018-02-26T18:14:36.000Z | 2021-11-30T01:00:56.000Z | import oblate
import numpy as np
import pytest
# TODO!
| 9.333333 | 18 | 0.767857 | 9 | 56 | 4.777778 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.196429 | 56 | 5 | 19 | 11.2 | 0.955556 | 0.089286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0a33cb634cfe076d601a3145a01487981499f068 | 22,712 | py | Python | Scripts/calc_Utilities.py | zmlabe/ThicknessSensitivity | 6defdd897a61d7d1a02f34a9f4ec92b2b17b3075 | [
"MIT"
] | 1 | 2017-10-22T02:22:14.000Z | 2017-10-22T02:22:14.000Z | Scripts/calc_Utilities.py | zmlabe/ThicknessSensitivity | 6defdd897a61d7d1a02f34a9f4ec92b2b17b3075 | [
"MIT"
] | null | null | null | Scripts/calc_Utilities.py | zmlabe/ThicknessSensitivity | 6defdd897a61d7d1a02f34a9f4ec92b2b17b3075 | [
"MIT"
] | 4 | 2018-04-05T17:55:36.000Z | 2022-03-31T07:05:01.000Z | """
Functions are useful untilities for SITperturb experiments
Notes
-----
Author : Zachary Labe
Date : 13 August 2017
Usage
-----
[1] calcDecJan(varx,vary,lat,lon,level,levsq)
[2] calcDecJanFeb(varx,vary,lat,lon,level,levsq)
[3] calc_indttest(varx,vary)
[4] calc_weightedAve(var,lats)
... | 36.514469 | 95 | 0.468739 | 2,463 | 22,712 | 4.295575 | 0.097848 | 0.042533 | 0.020416 | 0.022684 | 0.831947 | 0.81465 | 0.795747 | 0.750189 | 0.738185 | 0.719187 | 0 | 0.030765 | 0.330222 | 22,712 | 622 | 96 | 36.514469 | 0.664738 | 0.224287 | 0 | 0.686411 | 0 | 0 | 0.11901 | 0.006239 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059233 | false | 0 | 0.034843 | 0 | 0.15331 | 0.12892 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0a3472688b742e51fb849821bffb5408a0c299f0 | 5,306 | py | Python | cs15211/ReverseBits.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2021-07-05T01:53:30.000Z | 2021-07-05T01:53:30.000Z | cs15211/ReverseBits.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | null | null | null | cs15211/ReverseBits.py | JulyKikuAkita/PythonPrac | 0ba027d9b8bc7c80bc89ce2da3543ce7a49a403c | [
"Apache-2.0"
] | 1 | 2018-01-08T07:14:08.000Z | 2018-01-08T07:14:08.000Z | __source__ = 'https://leetcode.com/problems/reverse-bits/description/'
# https://github.com/kamyu104/LeetCode/blob/master/Python/reverse-bits.py
# Time : O(n)
# Space: O(1)
# Bit Manipulation
#
# Description: Leetcode # 190. Reverse Bits
#
# Reverse bits of a given 32 bits unsigned integer.
#
# For example, given input... | 31.963855 | 96 | 0.67942 | 885 | 5,306 | 3.80452 | 0.216949 | 0.470448 | 0.595189 | 0.646273 | 0.485595 | 0.473715 | 0.463023 | 0.454707 | 0.36828 | 0.328185 | 0 | 0.314932 | 0.225028 | 5,306 | 165 | 97 | 32.157576 | 0.503891 | 0.109876 | 0 | 0.264 | 0 | 0.024 | 0.905472 | 0.267618 | 0 | 0 | 0.017032 | 0 | 0.008 | 0 | null | null | 0 | 0.008 | null | null | 0.008 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
0a444a2a9b00c93ede978edd61b59c20a6608e93 | 5,351 | py | Python | testing/scripts/test_ksonnet_single_namespace.py | dtrawins/seldon-core | 3d8b3791b343118953757a1e787e5919cc64e697 | [
"Apache-2.0"
] | null | null | null | testing/scripts/test_ksonnet_single_namespace.py | dtrawins/seldon-core | 3d8b3791b343118953757a1e787e5919cc64e697 | [
"Apache-2.0"
] | null | null | null | testing/scripts/test_ksonnet_single_namespace.py | dtrawins/seldon-core | 3d8b3791b343118953757a1e787e5919cc64e697 | [
"Apache-2.0"
] | null | null | null | import pytest
import time
import subprocess
from subprocess import run,Popen
from seldon_utils import *
from k8s_utils import *
def wait_for_shutdown(deploymentName):
ret = run("kubectl get deploy/"+deploymentName, shell=True)
while ret.returncode == 0:
time.sleep(1)
ret = run("kubectl get depl... | 50.481132 | 245 | 0.657073 | 720 | 5,351 | 4.709722 | 0.152778 | 0.053082 | 0.031849 | 0.050428 | 0.830434 | 0.784429 | 0.775877 | 0.775877 | 0.761722 | 0.730758 | 0 | 0.020525 | 0.216969 | 5,351 | 105 | 246 | 50.961905 | 0.788783 | 0.027658 | 0 | 0.617021 | 0 | 0.031915 | 0.320446 | 0.071552 | 0 | 0 | 0 | 0 | 0.12766 | 1 | 0.06383 | false | 0 | 0.06383 | 0 | 0.148936 | 0.12766 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
6a94a7cd3e89c26bee4c47c7741e5a37358da6ff | 46 | py | Python | Fundamentals/Reversed Strings.py | gnvidal/Codewars | 117a83bd949a1503f31f1f915641e96e7bf7a04c | [
"MIT"
] | 49 | 2018-04-30T06:42:45.000Z | 2021-07-22T16:39:02.000Z | Fundamentals/Reversed Strings.py | gnvidal/Codewars | 117a83bd949a1503f31f1f915641e96e7bf7a04c | [
"MIT"
] | 1 | 2020-08-31T02:36:53.000Z | 2020-08-31T10:14:00.000Z | Fundamentals/Reversed Strings.py | gnvidal/Codewars | 117a83bd949a1503f31f1f915641e96e7bf7a04c | [
"MIT"
] | 36 | 2016-11-07T19:59:58.000Z | 2022-03-31T11:18:27.000Z | def solution(string):
return string[::-1]
| 15.333333 | 23 | 0.652174 | 6 | 46 | 5 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026316 | 0.173913 | 46 | 2 | 24 | 23 | 0.763158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.5 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 |
0a8d1e23712a4b58170f56ad1d0354b9b57142a5 | 45 | py | Python | AudioLib/__init__.py | yNeshy/voice-change | 2535351bcd8a9f2d58fcbff81a2051c4f6ac6ab4 | [
"MIT"
] | 11 | 2021-02-04T11:35:37.000Z | 2022-03-26T10:32:00.000Z | AudioLib/__init__.py | yNeshy/voice-change | 2535351bcd8a9f2d58fcbff81a2051c4f6ac6ab4 | [
"MIT"
] | 4 | 2021-03-22T09:36:54.000Z | 2021-03-26T09:10:51.000Z | AudioLib/__init__.py | yNeshy/voice-change | 2535351bcd8a9f2d58fcbff81a2051c4f6ac6ab4 | [
"MIT"
] | 6 | 2021-02-24T09:03:35.000Z | 2021-11-16T02:00:53.000Z | from AudioLib.AudioEffect import AudioEffect
| 22.5 | 44 | 0.888889 | 5 | 45 | 8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.088889 | 45 | 1 | 45 | 45 | 0.97561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
0aab7620f824873c7b572e13e03aa334f91e254d | 143 | py | Python | axju/generic/__init__.py | axju/axju | de0b3d9c63b7cca4ed16fb50e865c159b4377953 | [
"MIT"
] | null | null | null | axju/generic/__init__.py | axju/axju | de0b3d9c63b7cca4ed16fb50e865c159b4377953 | [
"MIT"
] | null | null | null | axju/generic/__init__.py | axju/axju | de0b3d9c63b7cca4ed16fb50e865c159b4377953 | [
"MIT"
] | null | null | null | from axju.generic.basic import BasicWorker
from axju.generic.execution import ExecutionWorker
from axju.generic.template import TemplateWorker
| 35.75 | 50 | 0.874126 | 18 | 143 | 6.944444 | 0.555556 | 0.192 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083916 | 143 | 3 | 51 | 47.666667 | 0.954198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 6 |
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