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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72930128f10a45046ff86b69e321c55984b0eb59 | 15,885 | py | Python | sknn_jgd/backend/lasagne/mlp.py | jgdwyer/nn-convection | 0bb55c0ac7af8f1345bf17b4db31b2593c8d1b28 | [
"Apache-2.0"
] | 1 | 2016-08-08T14:33:20.000Z | 2016-08-08T14:33:20.000Z | sknn_jgd/backend/lasagne/mlp.py | jgdwyer/nn-convection | 0bb55c0ac7af8f1345bf17b4db31b2593c8d1b28 | [
"Apache-2.0"
] | null | null | null | sknn_jgd/backend/lasagne/mlp.py | jgdwyer/nn-convection | 0bb55c0ac7af8f1345bf17b4db31b2593c8d1b28 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, unicode_literals, print_function)
__all__ = ['MultiLayerPerceptronBackend']
import os
import sys
import math
import time
import types
import logging
import itertools
log = logging.getLogger('sknn')
import numpy
import theano
import sklearn.... | 40.730769 | 117 | 0.577274 | 1,932 | 15,885 | 4.591097 | 0.191511 | 0.010147 | 0.008117 | 0.009019 | 0.211725 | 0.164938 | 0.135062 | 0.108005 | 0.098309 | 0.078805 | 0 | 0.007796 | 0.313629 | 15,885 | 389 | 118 | 40.835476 | 0.805742 | 0.059553 | 0 | 0.116438 | 0 | 0 | 0.07284 | 0.003427 | 0 | 0 | 0 | 0 | 0.027397 | 1 | 0.078767 | false | 0 | 0.065068 | 0.017123 | 0.222603 | 0.013699 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7293c3777f58eec10956f70997622aaecdee719d | 1,677 | py | Python | L2J_DataPack/data/scripts/quests/998_FallenAngelSelect/__init__.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | L2J_DataPack/data/scripts/quests/998_FallenAngelSelect/__init__.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | L2J_DataPack/data/scripts/quests/998_FallenAngelSelect/__init__.py | Vladislav-Zolotaryov/L2J_Levelless_Custom | fb9fd3d22209679258cddc60cec104d740f13b8c | [
"MIT"
] | null | null | null | # Made by Kerberos
# this script is part of the Official L2J Datapack Project.
# Visit http://www.l2jdp.com/forum/ for more details.
import sys
from com.l2jserver.gameserver.instancemanager import QuestManager
from com.l2jserver.gameserver.model.quest import State
from com.l2jserver.gameserver.model.quest import QuestS... | 34.9375 | 153 | 0.689326 | 215 | 1,677 | 5.325581 | 0.47907 | 0.024454 | 0.055895 | 0.09083 | 0.253275 | 0.220087 | 0.188646 | 0.115284 | 0.115284 | 0.115284 | 0 | 0.041698 | 0.199165 | 1,677 | 48 | 154 | 34.9375 | 0.810871 | 0.075134 | 0 | 0.108108 | 0 | 0.027027 | 0.179587 | 0.067183 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.135135 | 0 | 0.324324 | 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 |
7295b71bdde90ae99770dabaff2f0e425c610dba | 10,859 | py | Python | ai_safety_gridworlds/environments/side_effects_sokoban.py | AicyDC/ai-safety-gridworlds | b574b3e42880e32245a6c69502af3e9782ae2879 | [
"Apache-2.0"
] | null | null | null | ai_safety_gridworlds/environments/side_effects_sokoban.py | AicyDC/ai-safety-gridworlds | b574b3e42880e32245a6c69502af3e9782ae2879 | [
"Apache-2.0"
] | null | null | null | ai_safety_gridworlds/environments/side_effects_sokoban.py | AicyDC/ai-safety-gridworlds | b574b3e42880e32245a6c69502af3e9782ae2879 | [
"Apache-2.0"
] | 1 | 2020-02-13T01:30:09.000Z | 2020-02-13T01:30:09.000Z | # Copyright 2018 The AI Safety Gridworlds 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 b... | 34.916399 | 80 | 0.664702 | 1,455 | 10,859 | 4.753265 | 0.257732 | 0.034702 | 0.013158 | 0.017351 | 0.233661 | 0.199248 | 0.168884 | 0.146906 | 0.071139 | 0.043667 | 0 | 0.011012 | 0.222304 | 10,859 | 310 | 81 | 35.029032 | 0.807934 | 0.359978 | 0 | 0.103659 | 0 | 0 | 0.035635 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054878 | false | 0.02439 | 0.060976 | 0 | 0.146341 | 0.006098 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7295e60221af8bcb23ad558a2feefc9a7f5e4f9d | 956 | py | Python | setup.py | mirca/deepdow | 48484f99aa36863b15fb1ae685659841ce37fe25 | [
"Apache-2.0"
] | 2 | 2021-05-06T07:00:05.000Z | 2022-03-15T22:13:37.000Z | setup.py | rodrigorivera/deepdow | 48484f99aa36863b15fb1ae685659841ce37fe25 | [
"Apache-2.0"
] | null | null | null | setup.py | rodrigorivera/deepdow | 48484f99aa36863b15fb1ae685659841ce37fe25 | [
"Apache-2.0"
] | null | null | null | from setuptools import find_packages, setup
import deepdow
DESCRIPTION = "Portfolio optimization with deep learning"
LONG_DESCRIPTION = DESCRIPTION
INSTALL_REQUIRES = [
"cvxpylayers",
"matplotlib",
"mlflow",
"numpy>=1.16.5",
"pandas",
"pillow",
"seaborn",
"torch>=1.5",
"tensorboar... | 24.512821 | 94 | 0.646444 | 103 | 956 | 5.825243 | 0.68932 | 0.075 | 0.086667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020672 | 0.190377 | 956 | 38 | 95 | 25.157895 | 0.754522 | 0 | 0 | 0 | 0 | 0 | 0.358787 | 0.024059 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 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 |
7297791db05ab40bf0827824367abd990f8158d1 | 12,139 | py | Python | src/ref/WGAN_CNN_CNN_DISCRETE/Critic.py | chychen/nba_scrip_generation | 942df59cc0426aa30b54a0e09c0f646aa8fd4f18 | [
"MIT"
] | 1 | 2020-07-09T09:00:09.000Z | 2020-07-09T09:00:09.000Z | src/ref/WGAN_CNN_CNN_DISCRETE/Critic.py | chychen/bball_defensive_strategies_generation | 942df59cc0426aa30b54a0e09c0f646aa8fd4f18 | [
"MIT"
] | null | null | null | src/ref/WGAN_CNN_CNN_DISCRETE/Critic.py | chychen/bball_defensive_strategies_generation | 942df59cc0426aa30b54a0e09c0f646aa8fd4f18 | [
"MIT"
] | null | null | null | """
modeling
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import shutil
import numpy as np
import tensorflow as tf
from tensorflow.contrib import rnn
from tensorflow.contrib import layers
from utils_cnn import Norm
class C_MODE... | 43.199288 | 121 | 0.539583 | 1,368 | 12,139 | 4.468567 | 0.195175 | 0.013087 | 0.016031 | 0.021757 | 0.331588 | 0.263864 | 0.256012 | 0.221659 | 0.202683 | 0.177163 | 0 | 0.011254 | 0.370459 | 12,139 | 280 | 122 | 43.353571 | 0.788668 | 0.134443 | 0 | 0.180412 | 0 | 0 | 0.01623 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051546 | false | 0 | 0.056701 | 0.010309 | 0.149485 | 0.036082 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72988ee005f70d398f192554b5dfb6763416e1a6 | 13,582 | py | Python | tests/attr/test_kernel_shap.py | trsvchn/captum | 0435ff10a71724a788bdc54f01324f4f5c788541 | [
"BSD-3-Clause"
] | 3,140 | 2019-10-10T17:05:37.000Z | 2022-03-31T17:31:01.000Z | tests/attr/test_kernel_shap.py | trsvchn/captum | 0435ff10a71724a788bdc54f01324f4f5c788541 | [
"BSD-3-Clause"
] | 758 | 2019-10-11T18:01:04.000Z | 2022-03-31T21:36:07.000Z | tests/attr/test_kernel_shap.py | trsvchn/captum | 0435ff10a71724a788bdc54f01324f4f5c788541 | [
"BSD-3-Clause"
] | 345 | 2019-10-10T17:17:06.000Z | 2022-03-30T07:31:31.000Z | #!/usr/bin/env python3
import io
import unittest
import unittest.mock
from typing import Any, Callable, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
from captum.attr._core.kernel_shap import KernelShap
from tests.helpers.basic import (
BaseTest,
... | 35.931217 | 88 | 0.547121 | 1,684 | 13,582 | 4.177553 | 0.127078 | 0.019901 | 0.013646 | 0.072921 | 0.697655 | 0.681876 | 0.618053 | 0.592608 | 0.571429 | 0.516134 | 0 | 0.116524 | 0.321381 | 13,582 | 377 | 89 | 36.026525 | 0.64674 | 0.026064 | 0 | 0.452096 | 0 | 0 | 0.014145 | 0 | 0 | 0 | 0 | 0 | 0.098802 | 1 | 0.068862 | false | 0 | 0.032934 | 0 | 0.10479 | 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 |
729b69592bb4f1c56bbfc69279479c3149d38d7b | 60,446 | py | Python | py_cui/__init__.py | ne-msft/py_cui | b4938dd2c23a422496af7e32a33c2dbfcb348719 | [
"BSD-3-Clause"
] | null | null | null | py_cui/__init__.py | ne-msft/py_cui | b4938dd2c23a422496af7e32a33c2dbfcb348719 | [
"BSD-3-Clause"
] | null | null | null | py_cui/__init__.py | ne-msft/py_cui | b4938dd2c23a422496af7e32a33c2dbfcb348719 | [
"BSD-3-Clause"
] | null | null | null | """A python library for intuitively creating CUI/TUI interfaces with pre-built widgets.
"""
#
# Author: Jakub Wlodek
# Created: 12-Aug-2019
# Docs: https://jwlodek.github.io/py_cui-docs
# License: BSD-3-Clause (New/Revised)
#
# Some python core library imports
import sys
import os
import time
import copy
impo... | 37.266338 | 188 | 0.553089 | 6,960 | 60,446 | 4.593822 | 0.093103 | 0.015951 | 0.017953 | 0.007131 | 0.455572 | 0.394208 | 0.344416 | 0.322209 | 0.305695 | 0.287117 | 0 | 0.004253 | 0.369851 | 60,446 | 1,621 | 189 | 37.289328 | 0.835154 | 0.323181 | 0 | 0.379147 | 0 | 0 | 0.054478 | 0.000741 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090047 | false | 0.011058 | 0.031596 | 0 | 0.167457 | 0.00158 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72a124c3d481e06d142109091c80f7375d688299 | 6,447 | py | Python | deployer/src/config_manager.py | yugabyte/docsearch-scraper | 8b58d364c7721cbce892843e946834a3ccc5fcd7 | [
"MIT"
] | null | null | null | deployer/src/config_manager.py | yugabyte/docsearch-scraper | 8b58d364c7721cbce892843e946834a3ccc5fcd7 | [
"MIT"
] | 2 | 2021-03-31T20:20:23.000Z | 2021-12-13T20:58:56.000Z | deployer/src/config_manager.py | tubone24/docsearch-scraper | 07937b551be7f88322c2fe2f28f3ad4eb254e996 | [
"MIT"
] | 1 | 2020-04-01T22:01:17.000Z | 2020-04-01T22:01:17.000Z | import algoliasearch
from os import environ
from . import algolia_helper
from . import snippeter
from . import emails
from . import helpers
from . import fetchers
from .helpdesk_helper import add_note, get_conversation, \
get_emails_from_conversation, get_conversation_url_from_cuid
from deployer.src.algolia_inte... | 40.54717 | 106 | 0.547076 | 648 | 6,447 | 5.12037 | 0.194444 | 0.084388 | 0.046414 | 0.075347 | 0.474382 | 0.385775 | 0.361061 | 0.351115 | 0.324895 | 0.233876 | 0 | 0.001452 | 0.359237 | 6,447 | 158 | 107 | 40.803797 | 0.801743 | 0.0076 | 0 | 0.32 | 0 | 0 | 0.09334 | 0.017824 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064 | false | 0.016 | 0.072 | 0 | 0.168 | 0.088 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72a1afeaa2791d784987902c76baf2fe264f4270 | 1,131 | py | Python | Source/budgie/__init__.py | pylover/budgie | f453cf2fbbf440e8e2314c7fb63f101dbe048e17 | [
"WTFPL"
] | 3 | 2016-10-30T07:41:30.000Z | 2016-11-07T04:55:44.000Z | Source/budgie/__init__.py | pylover/budgie | f453cf2fbbf440e8e2314c7fb63f101dbe048e17 | [
"WTFPL"
] | 11 | 2016-10-28T12:18:24.000Z | 2016-10-29T15:18:56.000Z | Source/budgie/__init__.py | pylover/budgie | f453cf2fbbf440e8e2314c7fb63f101dbe048e17 | [
"WTFPL"
] | null | null | null |
import sys
from sqlalchemy.exc import DatabaseError
from . import cli
from .configuration import settings, init as init_config
from .observer import HelpdeskObserver, MaximumClientsReached
from .models import init as init_models, metadata, engine, check_db
from .smtp import SMTPConfigurationError
__version__ = '0.... | 21.75 | 113 | 0.66313 | 132 | 1,131 | 5.545455 | 0.44697 | 0.028689 | 0.027322 | 0.043716 | 0.057377 | 0.057377 | 0 | 0 | 0 | 0 | 0 | 0.008353 | 0.259063 | 1,131 | 51 | 114 | 22.176471 | 0.865155 | 0.015031 | 0 | 0.117647 | 0 | 0.029412 | 0.098287 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.205882 | 0 | 0.264706 | 0.088235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72a38e5ecc9516d35d7db3206173481ed721f2aa | 3,422 | py | Python | locations/spiders/shopnsave.py | thismakessand/alltheplaces | b6116199844c9e88bff3a691290f07a7457470ba | [
"MIT"
] | 1 | 2019-08-19T10:00:55.000Z | 2019-08-19T10:00:55.000Z | locations/spiders/shopnsave.py | thismakessand/alltheplaces | b6116199844c9e88bff3a691290f07a7457470ba | [
"MIT"
] | null | null | null | locations/spiders/shopnsave.py | thismakessand/alltheplaces | b6116199844c9e88bff3a691290f07a7457470ba | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
import re
from locations.items import GeojsonPointItem
DAY_DICT = {
'Mon': 'Mo',
'Tue': 'Tu',
'Wed': 'We',
'Thu': 'Th',
'Fri': 'Fr',
'Sat': 'Sa',
'Sun': 'Su',
'Monday': 'Mo',
'Tuesday': 'Tu',
'Wednesday': 'We',
'Thursday': 'Th',
'Th... | 36.021053 | 133 | 0.564582 | 449 | 3,422 | 4.224944 | 0.300668 | 0.094887 | 0.050606 | 0.071692 | 0.454929 | 0.394834 | 0.324196 | 0.324196 | 0.283079 | 0.283079 | 0 | 0.016756 | 0.232613 | 3,422 | 94 | 134 | 36.404255 | 0.705255 | 0.006137 | 0 | 0.038961 | 0 | 0.077922 | 0.333922 | 0.114151 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077922 | false | 0 | 0.038961 | 0.012987 | 0.25974 | 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 |
72a3d114ee07b14005e62845551d3b0c0d260004 | 831 | py | Python | tests/twitter_learning_journal/dao/test_os_env.py | DEV3L/twitter-learning-journal | a51d22a60a3d1249add352d8357975a7f2db585c | [
"Beerware"
] | 1 | 2021-01-12T17:06:57.000Z | 2021-01-12T17:06:57.000Z | tests/twitter_learning_journal/dao/test_os_env.py | DEV3L/twitter-learning-journal | a51d22a60a3d1249add352d8357975a7f2db585c | [
"Beerware"
] | null | null | null | tests/twitter_learning_journal/dao/test_os_env.py | DEV3L/twitter-learning-journal | a51d22a60a3d1249add352d8357975a7f2db585c | [
"Beerware"
] | 1 | 2018-07-31T21:16:33.000Z | 2018-07-31T21:16:33.000Z | from unittest.mock import patch
from app.twitter_learning_journal.dao.os_env import os_environ
@patch('app.twitter_learning_journal.dao.os_env.os')
def test_os_environ(mock_os):
expected_value = 'environment_value'
mock_os.environ.__contains__.return_value = True # patch in statement
mock_os.environ.__... | 26.806452 | 74 | 0.776173 | 119 | 831 | 4.89916 | 0.277311 | 0.154374 | 0.102916 | 0.157804 | 0.469983 | 0.42024 | 0.291595 | 0.178388 | 0.178388 | 0.178388 | 0 | 0 | 0.141998 | 831 | 30 | 75 | 27.7 | 0.817672 | 0.021661 | 0 | 0.277778 | 0 | 0 | 0.108508 | 0.051788 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.166667 | false | 0 | 0.111111 | 0 | 0.277778 | 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 |
72a434d4367495e97d23e862eb1e69cd74b1b481 | 477 | py | Python | web-scraper/mongoscraper/populate.py | naveenr414/hack-umbc | f5d0fa5b6c3203d54a3c98b8a43b8028229431f8 | [
"MIT"
] | null | null | null | web-scraper/mongoscraper/populate.py | naveenr414/hack-umbc | f5d0fa5b6c3203d54a3c98b8a43b8028229431f8 | [
"MIT"
] | null | null | null | web-scraper/mongoscraper/populate.py | naveenr414/hack-umbc | f5d0fa5b6c3203d54a3c98b8a43b8028229431f8 | [
"MIT"
] | null | null | null | import pymongo
myclient = pymongo.MongoClient()
mydb = myclient["mydb"]
hor = mydb["HoR"]
sen = mydb["Senator"]
gov = mydb["Governor"]
def write(fileJSON):
myDoc = fileJSON
if( "hor" in myDoc.values()):
hor.insert_one(myDoc)
elif( "senate" in myDoc.values()):
sen.insert_one(myDoc)
else... | 18.346154 | 38 | 0.601677 | 65 | 477 | 4.353846 | 0.446154 | 0.095406 | 0.14841 | 0.063604 | 0.091873 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.245283 | 477 | 25 | 39 | 19.08 | 0.786111 | 0 | 0 | 0.1 | 0 | 0 | 0.065126 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.05 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72a4e5a582877273a13f89ab82a67ba0dbfaef06 | 1,444 | py | Python | tests/test_utils_obj_value.py | ZSD-tim/dayu_widgets | 31c2530bdc4161d9311574d9850c2e9471e53072 | [
"MIT"
] | 157 | 2019-03-10T05:55:21.000Z | 2022-03-31T09:07:00.000Z | tests/test_utils_obj_value.py | kanbang/dayu_widgets | 6ff101e6c6f8fcf10e5cb578023a12ccdcef9164 | [
"MIT"
] | 16 | 2019-07-15T11:30:53.000Z | 2021-12-16T14:17:59.000Z | tests/test_utils_obj_value.py | kanbang/dayu_widgets | 6ff101e6c6f8fcf10e5cb578023a12ccdcef9164 | [
"MIT"
] | 56 | 2019-06-19T03:35:27.000Z | 2022-03-22T08:07:32.000Z | """
Test get_obj_value set_obj_value has_obj_value
"""
import pytest
from dayu_widgets import utils
class _HasNameAgeObject(object):
def __init__(self, name, age):
super(_HasNameAgeObject, self).__init__()
self.name = name
self.age = age
@pytest.mark.parametrize('obj', (
{'name': 'xi... | 29.469388 | 68 | 0.607341 | 184 | 1,444 | 4.51087 | 0.244565 | 0.154217 | 0.079518 | 0.072289 | 0.426506 | 0.180723 | 0.180723 | 0.091566 | 0.091566 | 0 | 0 | 0.011807 | 0.237535 | 1,444 | 48 | 69 | 30.083333 | 0.742053 | 0.166205 | 0 | 0.117647 | 0 | 0 | 0.10119 | 0 | 0 | 0 | 0 | 0 | 0.088235 | 1 | 0.117647 | false | 0 | 0.058824 | 0 | 0.235294 | 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 |
72a54534a71e2246424e06879611de77216a27cb | 22,969 | py | Python | tim_camera/oop_detection_webcam.py | Tim-orius/aidem | 965a71888db72f42223777e890f4bcf88cde7fd3 | [
"MIT"
] | null | null | null | tim_camera/oop_detection_webcam.py | Tim-orius/aidem | 965a71888db72f42223777e890f4bcf88cde7fd3 | [
"MIT"
] | null | null | null | tim_camera/oop_detection_webcam.py | Tim-orius/aidem | 965a71888db72f42223777e890f4bcf88cde7fd3 | [
"MIT"
] | null | null | null | """ Webcam Detection with Tensorflow calssifier and object distance calculation """
__version__ = "0.1.0"
__author__ = "Tim Rosenkranz"
__email__ = "tim.rosenkranz@stud.uni-frankfurt.de"
__credits__ = "Special thanks to The Anh Vuong who came up with the original idea." \
"This code is also based off of ... | 49.184154 | 221 | 0.530846 | 2,714 | 22,969 | 4.299926 | 0.186809 | 0.013196 | 0.009597 | 0.011311 | 0.503599 | 0.475321 | 0.453985 | 0.435219 | 0.427506 | 0.427506 | 0 | 0.035979 | 0.359876 | 22,969 | 467 | 222 | 49.184154 | 0.757737 | 0.266751 | 0 | 0.348548 | 0 | 0 | 0.039709 | 0.002163 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045643 | false | 0 | 0.058091 | 0.004149 | 0.124481 | 0.033195 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72a66499365040683f1a28fc9b02b8c6e95b1740 | 4,107 | py | Python | modules/zabbix_smart.py | yakumo-saki/smart_to_zabbix | 04dd1debe0c831b4ec94962884543c989ad57730 | [
"MIT"
] | null | null | null | modules/zabbix_smart.py | yakumo-saki/smart_to_zabbix | 04dd1debe0c831b4ec94962884543c989ad57730 | [
"MIT"
] | 23 | 2021-08-30T14:59:27.000Z | 2021-11-05T16:51:08.000Z | modules/zabbix_smart.py | yakumo-saki/smart_to_zabbix | 04dd1debe0c831b4ec94962884543c989ad57730 | [
"MIT"
] | null | null | null | import json
import logging
import config as cfg
from modules.const import Keys, AttrKey
from modules.zabbix_sender import send_to_zabbix
logger = logging.getLogger(__name__)
SMART_ATTR_KEY = "ata_smart_attributes"
NVME_ATTR_KEY = "nvme_smart_health_information_log"
def send_attribute_discovery(result):
"""
zab... | 30.198529 | 90 | 0.70392 | 550 | 4,107 | 5.014545 | 0.189091 | 0.019579 | 0.035533 | 0.007252 | 0.45504 | 0.32016 | 0.127266 | 0.115301 | 0.099347 | 0.063814 | 0 | 0.001468 | 0.170441 | 4,107 | 135 | 91 | 30.422222 | 0.808042 | 0.09496 | 0 | 0.313953 | 0 | 0 | 0.157468 | 0.046266 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.081395 | 0 | 0.22093 | 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 |
72a84aac36dbbd7474150732b72b1f6e0905fbe4 | 2,007 | py | Python | data.py | kpister/biaxial-rnn-music-composition | f6feafad0fe1066dd957293803a86d6c584d9952 | [
"BSD-2-Clause"
] | null | null | null | data.py | kpister/biaxial-rnn-music-composition | f6feafad0fe1066dd957293803a86d6c584d9952 | [
"BSD-2-Clause"
] | null | null | null | data.py | kpister/biaxial-rnn-music-composition | f6feafad0fe1066dd957293803a86d6c584d9952 | [
"BSD-2-Clause"
] | null | null | null | import itertools
from midi_to_statematrix import UPPER_BOUND, LOWER_BOUND
def startSentinel():
def noteSentinel(note):
position = note
part_position = [position]
pitchclass = (note + LOWER_BOUND) % 12
part_pitchclass = [int(i == pitchclass) for i in range(12)]
return part... | 26.76 | 89 | 0.636273 | 242 | 2,007 | 5.177686 | 0.297521 | 0.039904 | 0.045491 | 0.057462 | 0.329609 | 0.158021 | 0.158021 | 0.158021 | 0.158021 | 0.158021 | 0 | 0.024275 | 0.261086 | 2,007 | 74 | 90 | 27.121622 | 0.820634 | 0.078226 | 0 | 0.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.04 | 0.02 | 0.38 | 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 |
72a872cd27be148319e99d8b66913e6b97bcfc81 | 7,861 | py | Python | ocdb/ws/controllers/datasets.py | eocdb/ocdb-server | 0e28d092e8ecf5f4813878aab43de990cc5fb4ee | [
"MIT"
] | null | null | null | ocdb/ws/controllers/datasets.py | eocdb/ocdb-server | 0e28d092e8ecf5f4813878aab43de990cc5fb4ee | [
"MIT"
] | null | null | null | ocdb/ws/controllers/datasets.py | eocdb/ocdb-server | 0e28d092e8ecf5f4813878aab43de990cc5fb4ee | [
"MIT"
] | null | null | null | # The MIT License (MIT)
# Copyright (c) 2018 by EUMETSAT
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify,... | 38.346341 | 97 | 0.677649 | 975 | 7,861 | 5.281026 | 0.232821 | 0.052437 | 0.040396 | 0.02719 | 0.357157 | 0.264517 | 0.24898 | 0.235774 | 0.199456 | 0.199456 | 0 | 0.001653 | 0.230632 | 7,861 | 204 | 98 | 38.534314 | 0.849702 | 0.2043 | 0 | 0.231343 | 0 | 0 | 0.084248 | 0.009038 | 0 | 0 | 0 | 0.004902 | 0.141791 | 1 | 0.08209 | false | 0 | 0.08209 | 0.007463 | 0.223881 | 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 |
72a973eeb72b3616d349d7fd689d925f5f433b09 | 4,209 | py | Python | libAnt/node.py | ayanezcasal/AntLibAYC | c266af973f4c32d4baf30130fe51a572478488ec | [
"MIT"
] | 19 | 2018-04-14T15:29:17.000Z | 2022-02-05T08:51:16.000Z | libAnt/node.py | ayanezcasal/AntLibAYC | c266af973f4c32d4baf30130fe51a572478488ec | [
"MIT"
] | 5 | 2018-12-16T09:32:06.000Z | 2021-10-20T20:20:06.000Z | libAnt/node.py | ayanezcasal/AntLibAYC | c266af973f4c32d4baf30130fe51a572478488ec | [
"MIT"
] | 12 | 2016-08-24T09:00:44.000Z | 2022-01-24T00:16:13.000Z | import threading
from queue import Queue, Empty
from time import sleep
from libAnt.drivers.driver import Driver
from libAnt.message import *
class Network:
def __init__(self, key: bytes = b'\x00' * 8, name: str = None):
self.key = key
self.name = name
self.number = 0
def __str__(self... | 33.943548 | 117 | 0.516512 | 404 | 4,209 | 5.168317 | 0.321782 | 0.038314 | 0.05364 | 0.014368 | 0.022031 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005927 | 0.39867 | 4,209 | 123 | 118 | 34.219512 | 0.819044 | 0.029461 | 0 | 0.153061 | 0 | 0 | 0.000981 | 0 | 0 | 0 | 0 | 0.00813 | 0 | 1 | 0.142857 | false | 0.040816 | 0.05102 | 0.030612 | 0.27551 | 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 |
72a98cda239838c97dafaaefa4602ca6f04cc90c | 5,168 | py | Python | tests/test_seasonality.py | OliPerkins1987/Wildfire_Human_Agency_Model | 49ac17c7c2ad5e03d572b6ae22c227e89a944624 | [
"MIT"
] | 1 | 2021-06-24T16:45:22.000Z | 2021-06-24T16:45:22.000Z | tests/test_seasonality.py | OliPerkins1987/Wildfire_Human_Agency_Model | 49ac17c7c2ad5e03d572b6ae22c227e89a944624 | [
"MIT"
] | null | null | null | tests/test_seasonality.py | OliPerkins1987/Wildfire_Human_Agency_Model | 49ac17c7c2ad5e03d572b6ae22c227e89a944624 | [
"MIT"
] | 1 | 2021-10-05T08:57:17.000Z | 2021-10-05T08:57:17.000Z | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 30 12:17:04 2021
@author: Oli
"""
import pytest
import pandas as pd
import numpy as np
import netCDF4 as nc
import os
from copy import deepcopy
os.chdir(os.path.dirname(os.path.realpath(__file__)))
wd = os.getcwd().replace('\\', '/')
exec(open("test_set... | 32.917197 | 125 | 0.60952 | 576 | 5,168 | 5.211806 | 0.310764 | 0.031979 | 0.083944 | 0.058294 | 0.597602 | 0.553298 | 0.490673 | 0.490673 | 0.490673 | 0.466023 | 0 | 0.01998 | 0.225232 | 5,168 | 156 | 126 | 33.128205 | 0.72977 | 0.033475 | 0 | 0.623656 | 0 | 0 | 0.176729 | 0.022832 | 0 | 0 | 0 | 0 | 0.021505 | 1 | 0.021505 | false | 0 | 0.215054 | 0 | 0.236559 | 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 |
72a9deefb1b6924bdaa40e4fd75c347025f116d3 | 572 | py | Python | tests/test_client.py | patvdleer/nefit-client-python | 97f2c1e454b7c0d5829e1a9c285c998980c603e3 | [
"MIT"
] | 11 | 2017-07-20T10:12:55.000Z | 2020-12-25T12:40:31.000Z | tests/test_client.py | patvdleer/nefit-client-python | 97f2c1e454b7c0d5829e1a9c285c998980c603e3 | [
"MIT"
] | 5 | 2018-01-01T22:11:09.000Z | 2020-05-14T20:59:50.000Z | tests/test_client.py | patvdleer/nefit-client-python | 97f2c1e454b7c0d5829e1a9c285c998980c603e3 | [
"MIT"
] | 11 | 2017-04-09T18:55:53.000Z | 2020-04-22T14:31:12.000Z | import os
import unittest
from nefit import NefitClient, NefitResponseException
class ClientTest(unittest.TestCase):
def test_exceptions(self):
client = NefitClient(
os.environ.get("NEFIT_SERIAL", 123456789),
os.environ.get("NEFIT_ACCESS_KEY", "abc1abc2abc3abc4"),
"asdd... | 26 | 67 | 0.657343 | 53 | 572 | 6.811321 | 0.622642 | 0.049862 | 0.066482 | 0.094183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030162 | 0.246504 | 572 | 21 | 68 | 27.238095 | 0.807425 | 0 | 0 | 0 | 0 | 0 | 0.115385 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 1 | 0.058824 | false | 0 | 0.176471 | 0 | 0.294118 | 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 |
72ac281779d052a2842e7fce7e7f54eebca721c0 | 5,080 | py | Python | opencivicdata/merge.py | GovHawkDC/python-opencivicdata | 1679a4e5df381c777c3e6c53d7c056321662e99a | [
"BSD-3-Clause"
] | null | null | null | opencivicdata/merge.py | GovHawkDC/python-opencivicdata | 1679a4e5df381c777c3e6c53d7c056321662e99a | [
"BSD-3-Clause"
] | null | null | null | opencivicdata/merge.py | GovHawkDC/python-opencivicdata | 1679a4e5df381c777c3e6c53d7c056321662e99a | [
"BSD-3-Clause"
] | null | null | null | import datetime
from django.db import transaction
def compute_diff(obj1, obj2):
"""
Given two objects compute a list of differences.
Each diff dict has the following keys:
field - name of the field
new - the new value for the field
one - value of the field in o... | 34.794521 | 97 | 0.491339 | 536 | 5,080 | 4.524254 | 0.244403 | 0.040825 | 0.043299 | 0.019794 | 0.202887 | 0.087423 | 0.046186 | 0.026392 | 0 | 0 | 0 | 0.015227 | 0.405315 | 5,080 | 145 | 98 | 35.034483 | 0.787488 | 0.100787 | 0 | 0.22807 | 0 | 0 | 0.092023 | 0 | 0 | 0 | 0 | 0.006897 | 0.008772 | 1 | 0.035088 | false | 0 | 0.017544 | 0 | 0.070175 | 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 |
72ac92211f4ec9ab263019e3549666f802fa242f | 3,257 | py | Python | src/python/pants/core/project_info/filedeps.py | silverguo/pants | 141510d03fbf2b7e1a0b54f66b54088697f6fa51 | [
"Apache-2.0"
] | null | null | null | src/python/pants/core/project_info/filedeps.py | silverguo/pants | 141510d03fbf2b7e1a0b54f66b54088697f6fa51 | [
"Apache-2.0"
] | null | null | null | src/python/pants/core/project_info/filedeps.py | silverguo/pants | 141510d03fbf2b7e1a0b54f66b54088697f6fa51 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import itertools
from pathlib import PurePath
from typing import Iterable
from pants.base.build_root import BuildRoot
from pants.engine.addresses import Address, Addresses, BuildFileAddre... | 30.726415 | 100 | 0.645072 | 357 | 3,257 | 5.764706 | 0.358543 | 0.030612 | 0.043732 | 0.021866 | 0.089407 | 0.066084 | 0.066084 | 0.044704 | 0 | 0 | 0 | 0.0034 | 0.277556 | 3,257 | 105 | 101 | 31.019048 | 0.871228 | 0.055266 | 0 | 0.186047 | 0 | 0 | 0.111726 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.116279 | 0.011628 | 0.209302 | 0.023256 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72adadcbd8e2ff6b2637e141f68ab8b5a7fcd9ed | 5,887 | py | Python | perfkitbenchmarker/providers/rackspace/rackspace_network.py | dq922/CloudControlVM | fae2cf7d2c4388e1dc657bd9245d88f2cb1b9b52 | [
"Apache-2.0"
] | null | null | null | perfkitbenchmarker/providers/rackspace/rackspace_network.py | dq922/CloudControlVM | fae2cf7d2c4388e1dc657bd9245d88f2cb1b9b52 | [
"Apache-2.0"
] | null | null | null | perfkitbenchmarker/providers/rackspace/rackspace_network.py | dq922/CloudControlVM | fae2cf7d2c4388e1dc657bd9245d88f2cb1b9b52 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 PerfKitBenchmarker 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 appli... | 38.477124 | 80 | 0.565993 | 620 | 5,887 | 5.214516 | 0.298387 | 0.040829 | 0.039592 | 0.042066 | 0.339004 | 0.32725 | 0.290752 | 0.272502 | 0.241571 | 0.201361 | 0 | 0.004639 | 0.340921 | 5,887 | 152 | 81 | 38.730263 | 0.828608 | 0.174282 | 0 | 0.34375 | 0 | 0 | 0.08958 | 0.030278 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.083333 | 0 | 0.15625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72b5ec574a910346ea5b219b420b4689179e7f53 | 818 | py | Python | vendor-local/src/django-piston/tests/test_project/settings.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 22 | 2015-01-16T01:36:32.000Z | 2020-06-08T00:46:18.000Z | vendor-local/src/django-piston/tests/test_project/settings.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 9 | 2019-03-15T11:39:32.000Z | 2019-04-30T00:59:50.000Z | vendor-local/src/django-piston/tests/test_project/settings.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 13 | 2015-01-13T20:56:22.000Z | 2022-02-23T06:01:17.000Z | import os
DEBUG = True
DATABASES = {
'default':
{
'ENGINE': 'django.db.backends.sqlite3',
'NAME': '/tmp/piston.db'
}
}
DATABASE_ENGINE = 'sqlite3'
DATABASE_NAME = '/tmp/piston.db'
INSTALLED_APPS = (
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessi... | 24.058824 | 62 | 0.687042 | 81 | 818 | 6.777778 | 0.555556 | 0.165756 | 0.047359 | 0.054645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004412 | 0.168704 | 818 | 33 | 63 | 24.787879 | 0.802941 | 0 | 0 | 0 | 0 | 0 | 0.545232 | 0.370416 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032258 | 0 | 0.032258 | 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 |
72b62ed3f7cc27fe8cfe04f0c5e5ac430e3c0735 | 14,958 | py | Python | src/sage/combinat/combinatorial_map.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/combinatorial_map.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/combinatorial_map.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | null | null | null | """
Combinatorial maps
This module provides a decorator that can be used to add semantic to a
Python method by marking it as implementing a *combinatorial map*,
that is a map between two :class:`enumerated sets <EnumeratedSets>`::
sage: from sage.combinat.combinatorial_map import combinatorial_map
sage: class... | 36.043373 | 130 | 0.595935 | 1,659 | 14,958 | 5.212779 | 0.17179 | 0.197965 | 0.072271 | 0.080944 | 0.509135 | 0.461147 | 0.410384 | 0.392808 | 0.390495 | 0.390495 | 0 | 0.00572 | 0.28707 | 14,958 | 414 | 131 | 36.130435 | 0.805233 | 0.759794 | 0 | 0.114754 | 0 | 0 | 0.040826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.180328 | false | 0 | 0.032787 | 0 | 0.459016 | 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 |
72b71a7472c7bdcc100bc857b45e0a2173cf0beb | 5,048 | py | Python | tests/cppproj/xdressrc.py | xdress/xdress | eb7f0a02b3edf617d401939ede7f0d713a88917f | [
"BSD-2-Clause-FreeBSD"
] | 88 | 2015-01-04T14:49:05.000Z | 2021-03-25T15:32:41.000Z | tests/cppproj/xdressrc.py | scopatz/xdress | 2d95c900e849f924644756d421b1f4da4624e6c9 | [
"BSD-2-Clause-FreeBSD"
] | 26 | 2015-02-03T19:09:11.000Z | 2022-03-24T00:15:55.000Z | tests/cppproj/xdressrc.py | scopatz/xdress | 2d95c900e849f924644756d421b1f4da4624e6c9 | [
"BSD-2-Clause-FreeBSD"
] | 25 | 2015-01-27T18:25:15.000Z | 2022-03-24T00:10:18.000Z | import os
from xdress.utils import apiname
package = 'cppproj'
packagedir = 'cppproj'
includes = ['src']
plugins = ('xdress.autoall', 'xdress.pep8names', 'xdress.cythongen',
'xdress.stlwrap', )
extra_types = 'cppproj_extra_types' # non-default value
dtypes = [
('map', 'str', 'int'),
('set', 'in... | 33.210526 | 89 | 0.522187 | 469 | 5,048 | 5.486141 | 0.251599 | 0.069957 | 0.051302 | 0.027983 | 0.204042 | 0.141469 | 0.097163 | 0.074621 | 0 | 0 | 0 | 0.013896 | 0.201664 | 5,048 | 151 | 90 | 33.430464 | 0.624566 | 0.037044 | 0 | 0.153285 | 0 | 0 | 0.340062 | 0.009887 | 0 | 0 | 0 | 0.006623 | 0 | 1 | 0 | false | 0 | 0.014599 | 0 | 0.014599 | 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 |
72b766456e6162990d0a72bfeab659fdbe69bb40 | 1,259 | py | Python | routines/server.py | henryshunt/c-aws | 6e15bb18c2243f11a129b01298cb31749033f8d4 | [
"MIT"
] | null | null | null | routines/server.py | henryshunt/c-aws | 6e15bb18c2243f11a129b01298cb31749033f8d4 | [
"MIT"
] | null | null | null | routines/server.py | henryshunt/c-aws | 6e15bb18c2243f11a129b01298cb31749033f8d4 | [
"MIT"
] | null | null | null | import os
import subprocess
import routines.config as config
import routines.helpers as helpers
def get_static_info():
""" Outputs data concerning the computer in the C-AWS station
"""
startup_time = None
data_drive_space = None
camera_drive_space = None
# Get system startup ... | 33.131579 | 74 | 0.629071 | 155 | 1,259 | 4.864516 | 0.341935 | 0.092838 | 0.084881 | 0.06366 | 0.372679 | 0.241379 | 0.119363 | 0 | 0 | 0 | 0 | 0.002198 | 0.277204 | 1,259 | 38 | 75 | 33.131579 | 0.826374 | 0.094519 | 0 | 0.076923 | 0 | 0 | 0.010949 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0.038462 | 0.153846 | 0 | 0.192308 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72b93e836d4145542223f40d01a9abd8ec9065ef | 654 | py | Python | DQM/DTMonitorModule/python/dtChamberEfficiencyHI_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | DQM/DTMonitorModule/python/dtChamberEfficiencyHI_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | DQM/DTMonitorModule/python/dtChamberEfficiencyHI_cfi.py | pasmuss/cmssw | 566f40c323beef46134485a45ea53349f59ae534 | [
"Apache-2.0"
] | null | null | null | import FWCore.ParameterSet.Config as cms
from RecoMuon.TrackingTools.MuonServiceProxy_cff import MuonServiceProxy
dtEfficiencyMonitor = cms.EDAnalyzer("DTChamberEfficiency",
MuonServiceProxy,
debug = cms.untracked.bool(True),
TrackCollection = cms.InputTag("standAloneMuons"),
theMaxChi2 = cms.do... | 32.7 | 73 | 0.717125 | 63 | 654 | 7.428571 | 0.603175 | 0.117521 | 0.102564 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016334 | 0.157492 | 654 | 19 | 74 | 34.421053 | 0.833031 | 0 | 0 | 0 | 0 | 0 | 0.105666 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 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 |
72ba794e4ffc0f8c96701df9930a1aeef6a247aa | 3,075 | py | Python | test.py | jasonivey/scripts | 09f9702e5ce62abbb7699aae16b45b33711fe856 | [
"MIT"
] | null | null | null | test.py | jasonivey/scripts | 09f9702e5ce62abbb7699aae16b45b33711fe856 | [
"MIT"
] | null | null | null | test.py | jasonivey/scripts | 09f9702e5ce62abbb7699aae16b45b33711fe856 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# vim:softtabstop=4:ts=4:sw=4:expandtab:tw=120
from ansimarkup import AnsiMarkup, parse
import csv
import datetime
import operator
import os
from pathlib import Path
import re
import sys
import traceback
_VERBOSE = False
user_tags = {
'error' : parse('<bold><red>'),
'nam... | 35.755814 | 103 | 0.666016 | 442 | 3,075 | 4.400452 | 0.316742 | 0.027764 | 0.026735 | 0.026735 | 0.275578 | 0.162468 | 0.112082 | 0.112082 | 0.112082 | 0.112082 | 0 | 0.012058 | 0.190894 | 3,075 | 85 | 104 | 36.176471 | 0.769695 | 0.03122 | 0 | 0.058824 | 0 | 0 | 0.143895 | 0.047388 | 0 | 0 | 0 | 0 | 0.029412 | 1 | 0.161765 | false | 0 | 0.132353 | 0.058824 | 0.426471 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72ba9085ddab97bd04e95141330b44b2e8f9e59c | 625 | py | Python | RDyn-master/rdyn/test/rdyn_test.py | nogrady/dynamo | 4a94453c810cb6cd0eb976c6db9e379cfb2e1f3b | [
"MIT"
] | 12 | 2020-02-05T10:24:54.000Z | 2022-02-24T02:26:00.000Z | RDyn-master/rdyn/test/rdyn_test.py | nogrady/dynamo | 4a94453c810cb6cd0eb976c6db9e379cfb2e1f3b | [
"MIT"
] | 4 | 2020-12-03T04:24:24.000Z | 2021-09-18T13:14:50.000Z | RDyn-master/rdyn/test/rdyn_test.py | nogrady/dynamo | 4a94453c810cb6cd0eb976c6db9e379cfb2e1f3b | [
"MIT"
] | 6 | 2019-07-30T12:55:44.000Z | 2021-09-05T06:26:18.000Z | import unittest
import shutil
from rdyn.alg.RDyn_v2 import RDynV2
class RDynTestCase(unittest.TestCase):
def test_rdyn_simplified(self):
print("1")
rdb = RDynV2(size=500, iterations=100)
rdb.execute(simplified=True)
print("2")
rdb = RDynV2(size=500, iterations=100, max_ev... | 24.038462 | 99 | 0.6384 | 83 | 625 | 4.626506 | 0.493976 | 0.070313 | 0.101563 | 0.125 | 0.377604 | 0.226563 | 0 | 0 | 0 | 0 | 0 | 0.070833 | 0.232 | 625 | 25 | 100 | 25 | 0.729167 | 0 | 0 | 0.111111 | 0 | 0 | 0.0352 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.166667 | 0 | 0.277778 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72bb20592ab5dcb9752888e9d174ab8e1560ff6a | 1,436 | py | Python | recognition/datasets/build.py | Jung-Jun-Uk/UNPG | a6f9c1731a68fc035eb8fe8198f5a5c643825a5b | [
"Apache-2.0"
] | 7 | 2022-03-15T13:09:05.000Z | 2022-03-31T04:11:19.000Z | recognition/datasets/build.py | Jung-Jun-Uk/UNPG | a6f9c1731a68fc035eb8fe8198f5a5c643825a5b | [
"Apache-2.0"
] | 1 | 2022-03-31T02:03:05.000Z | 2022-03-31T11:18:02.000Z | recognition/datasets/build.py | Jung-Jun-Uk/UNPG | a6f9c1731a68fc035eb8fe8198f5a5c643825a5b | [
"Apache-2.0"
] | null | null | null | import os
from .kface import KFace
from .ms1m import MS1M
from .bin_datasets import BIN
from .ijb import IJB
def build_datasets(data_cfg, batch_size, cuda, workers, mode, rank=-1):
assert mode in ['train', 'test']
cfg = data_cfg[mode]
if cfg['dataset'] == 'kface':
dataset =... | 46.322581 | 112 | 0.559192 | 186 | 1,436 | 4.145161 | 0.268817 | 0.070039 | 0.101167 | 0.155642 | 0.290532 | 0.259403 | 0.155642 | 0 | 0 | 0 | 0 | 0.004931 | 0.293872 | 1,436 | 30 | 113 | 47.866667 | 0.755424 | 0 | 0 | 0 | 0 | 0 | 0.132312 | 0 | 0 | 0 | 0 | 0 | 0.04 | 1 | 0.04 | false | 0 | 0.2 | 0 | 0.28 | 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 |
72bb21a725c716541be205c2b5b7874c878a779b | 1,316 | py | Python | django_cd/notifications.py | ppinard/django-cd | 1bc9304466ace12867df3b18a8ef7f204b9744b4 | [
"MIT"
] | 1 | 2021-12-22T15:18:17.000Z | 2021-12-22T15:18:17.000Z | django_cd/notifications.py | ppinard/django-cd | 1bc9304466ace12867df3b18a8ef7f204b9744b4 | [
"MIT"
] | null | null | null | django_cd/notifications.py | ppinard/django-cd | 1bc9304466ace12867df3b18a8ef7f204b9744b4 | [
"MIT"
] | null | null | null | """"""
# Standard library modules.
import abc
# Third party modules.
from django.core.mail import send_mail
from django.template import Engine, Context
# Local modules.
from .models import RunState
# Globals and constants variables.
class Notification(metaclass=abc.ABCMeta):
@classmethod
def notify(self, ... | 28 | 87 | 0.637538 | 144 | 1,316 | 5.638889 | 0.451389 | 0.044335 | 0.03202 | 0.046798 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.268997 | 1,316 | 46 | 88 | 28.608696 | 0.844075 | 0.071429 | 0 | 0.066667 | 0 | 0 | 0.067713 | 0.023121 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.133333 | 0.033333 | 0.366667 | 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 |
72bde1ffa295f39cff6155beef6e3b3159a43bd3 | 536 | py | Python | 30_days_of_code_10.py | sercangul/HackerRank | e6d7056babe03baafee8d7f1cacdca7c28b72ded | [
"Apache-2.0"
] | null | null | null | 30_days_of_code_10.py | sercangul/HackerRank | e6d7056babe03baafee8d7f1cacdca7c28b72ded | [
"Apache-2.0"
] | null | null | null | 30_days_of_code_10.py | sercangul/HackerRank | e6d7056babe03baafee8d7f1cacdca7c28b72ded | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 3 19:02:33 2019
@author: sercangul
"""
def maxConsecutiveOnes(x):
# Initialize result
count = 0
# Count the number of iterations to
# reach x = 0.
while (x!=0):
# This operation reduces length
... | 18.482759 | 42 | 0.544776 | 68 | 536 | 4.176471 | 0.735294 | 0.014085 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053073 | 0.33209 | 536 | 29 | 43 | 18.482759 | 0.740223 | 0.429104 | 0 | 0 | 0 | 0 | 0.027397 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72be55bfd5b76b9d59e5532d60fbf00e392fbde4 | 6,744 | py | Python | artap/algorithm_cmaes.py | artap-framework/artap | 7e4b01abbe5ca0fce9fa87a1a307ebd11ace36b4 | [
"MIT"
] | 5 | 2021-06-13T17:04:37.000Z | 2022-03-04T17:16:06.000Z | artap/algorithm_cmaes.py | artap-framework/artap | 7e4b01abbe5ca0fce9fa87a1a307ebd11ace36b4 | [
"MIT"
] | null | null | null | artap/algorithm_cmaes.py | artap-framework/artap | 7e4b01abbe5ca0fce9fa87a1a307ebd11ace36b4 | [
"MIT"
] | 8 | 2021-03-11T18:23:47.000Z | 2022-02-22T11:13:23.000Z | import numpy as np
from .problem import Problem
from .algorithm_genetic import GeneralEvolutionaryAlgorithm
from .individual import Individual
from .operators import CustomGenerator, nondominated_truncate, RandomGenerator, UniformGenerator
import time
class CMA_ES(GeneralEvolutionaryAlgorithm):
"""
Implementa... | 40.626506 | 116 | 0.647539 | 798 | 6,744 | 5.319549 | 0.264411 | 0.033687 | 0.041461 | 0.039576 | 0.282686 | 0.182332 | 0.136631 | 0.095642 | 0.036278 | 0.036278 | 0 | 0.017936 | 0.264235 | 6,744 | 165 | 117 | 40.872727 | 0.837162 | 0.307088 | 0 | 0.129412 | 0 | 0 | 0.066048 | 0.01425 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070588 | false | 0 | 0.070588 | 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 |
72bf6f79bc537479ff8af423d399ec3e3244b8ce | 4,988 | py | Python | apns_proxy_client/core.py | hagino3000/apns-proxy-client-py | b5ce34be940a8f8a990dc369e293408380d0c359 | [
"BSD-2-Clause"
] | null | null | null | apns_proxy_client/core.py | hagino3000/apns-proxy-client-py | b5ce34be940a8f8a990dc369e293408380d0c359 | [
"BSD-2-Clause"
] | null | null | null | apns_proxy_client/core.py | hagino3000/apns-proxy-client-py | b5ce34be940a8f8a990dc369e293408380d0c359 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
APNS Proxy Serverのクライアント
"""
import time
import zmq
import simplejson as json
READ_TIMEOUT = 1500 # msec
FLUSH_TIMEOUT = 5000 # msec
COMMAND_ASK_ADDRESS = b'\1'
COMMAND_SEND = b'\2'
COMMAND_FEEDBACK = b'\3'
DEVICE_TOKEN_LENGTH = 64
JSON_ALERT_KEY_SET = set(['body', 'action_loc_key', ... | 30.414634 | 94 | 0.589014 | 573 | 4,988 | 4.965096 | 0.246073 | 0.044991 | 0.018981 | 0.016872 | 0.140598 | 0.089982 | 0.070299 | 0.070299 | 0.070299 | 0.070299 | 0 | 0.006369 | 0.307538 | 4,988 | 163 | 95 | 30.601227 | 0.817313 | 0.027065 | 0 | 0.125 | 0 | 0 | 0.103666 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116667 | false | 0 | 0.025 | 0.008333 | 0.216667 | 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 |
72c1ef9e3306b06082ecfe37e40b05472ed66d4a | 1,047 | py | Python | dictionary.py | WilliamHackspeare/profanity-percentage | 4aab708620b7543a2a5cb30c9cee8404dcc836cb | [
"MIT"
] | null | null | null | dictionary.py | WilliamHackspeare/profanity-percentage | 4aab708620b7543a2a5cb30c9cee8404dcc836cb | [
"MIT"
] | null | null | null | dictionary.py | WilliamHackspeare/profanity-percentage | 4aab708620b7543a2a5cb30c9cee8404dcc836cb | [
"MIT"
] | null | null | null | #Import the json library to parse JSON file to Python
import json
#Import list of punctuation characters from the string library
from string import punctuation as p
#This method checks if the given word is a profanity
def is_profanity(word):
#Open the JSON file
words_file = open('data.json')
#Parse the JSON f... | 26.846154 | 114 | 0.73639 | 173 | 1,047 | 4.398844 | 0.364162 | 0.027595 | 0.018397 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008475 | 0.211079 | 1,047 | 39 | 115 | 26.846154 | 0.912833 | 0.578797 | 0 | 0 | 0 | 0 | 0.02331 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.133333 | 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 |
72c22519e149895de228608442ca88e10bbdc5d3 | 1,613 | py | Python | setup.py | cyfrmedia/cerridwen | 6ac9193d41d7c6fdea0abab5e5f207132844fb4e | [
"MIT"
] | 25 | 2015-01-20T13:13:51.000Z | 2021-11-05T12:52:13.000Z | setup.py | cyfrmedia/cerridwen | 6ac9193d41d7c6fdea0abab5e5f207132844fb4e | [
"MIT"
] | 2 | 2018-11-11T21:02:10.000Z | 2020-04-10T09:18:52.000Z | setup.py | cyfrmedia/cerridwen | 6ac9193d41d7c6fdea0abab5e5f207132844fb4e | [
"MIT"
] | 14 | 2015-01-26T10:20:28.000Z | 2021-10-31T13:05:24.000Z | from setuptools import setup
import os
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.rst')).read()
#NEWS = open(os.path.join(here, 'NEWS.txt')).read()
rootdir = os.path.dirname(os.path.abspath(__file__))
exec(open(rootdir + '/cerridwen/version.py').read())
version = __VERS... | 35.844444 | 81 | 0.629882 | 170 | 1,613 | 5.858824 | 0.570588 | 0.036145 | 0.026104 | 0.028112 | 0.036145 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003953 | 0.215747 | 1,613 | 44 | 82 | 36.659091 | 0.783399 | 0.075635 | 0 | 0 | 0 | 0 | 0.476478 | 0.045699 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.052632 | 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 |
72c2286c61223e879e49fc3a51d82e195787e502 | 4,768 | py | Python | pajbot/apiwrappers/authentication/access_token.py | JoachimFlottorp/pajbot | 4fb88c403dedb20d95be80e38da72be1ed064901 | [
"MIT"
] | 128 | 2015-12-28T01:02:30.000Z | 2019-05-24T21:20:50.000Z | pajbot/apiwrappers/authentication/access_token.py | JoachimFlottorp/pajbot | 4fb88c403dedb20d95be80e38da72be1ed064901 | [
"MIT"
] | 277 | 2015-05-03T18:48:57.000Z | 2019-05-23T17:41:28.000Z | pajbot/apiwrappers/authentication/access_token.py | JoachimFlottorp/pajbot | 4fb88c403dedb20d95be80e38da72be1ed064901 | [
"MIT"
] | 96 | 2015-08-07T18:49:50.000Z | 2019-05-20T19:49:27.000Z | import datetime
from abc import ABC, abstractmethod
import pajbot
class AccessToken(ABC):
SHOULD_REFRESH_THRESHOLD = 0.9
"""Fraction between 0 and 1 indicating what fraction/percentage of the specified full validity period
should actually be utilized. E.g. if this is set to 0.9, the implementation will ... | 32.216216 | 105 | 0.635067 | 592 | 4,768 | 4.890203 | 0.261824 | 0.090155 | 0.018998 | 0.034542 | 0.173748 | 0.12677 | 0.033851 | 0.033851 | 0.033851 | 0.033851 | 0 | 0.006173 | 0.286493 | 4,768 | 147 | 106 | 32.435374 | 0.844797 | 0.139681 | 0 | 0.260417 | 0 | 0 | 0.066719 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.020833 | 0.03125 | 0.041667 | 0.302083 | 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 |
72c2e94771b614f6c939030fdbb56bca1d8a8d06 | 1,965 | py | Python | scan_predict.py | ychu196/chicago_scan | ed5f32a9f27fd5b9350cb3232a2631c3aaa60744 | [
"Apache-2.0"
] | null | null | null | scan_predict.py | ychu196/chicago_scan | ed5f32a9f27fd5b9350cb3232a2631c3aaa60744 | [
"Apache-2.0"
] | null | null | null | scan_predict.py | ychu196/chicago_scan | ed5f32a9f27fd5b9350cb3232a2631c3aaa60744 | [
"Apache-2.0"
] | null | null | null | # Image classification using AWS Sagemaker and Linear Learner
# Program set up and import libraries
import numpy as np
import pandas as pd
import os
from sagemaker import get_execution_role
role = get_execution_role()
bucket = 'chi-hackathon-skin-images'
# Import Data
import boto3
from sagemaker import get_execution... | 30.703125 | 114 | 0.795929 | 279 | 1,965 | 5.390681 | 0.412186 | 0.031915 | 0.042553 | 0.029255 | 0.219415 | 0.110372 | 0.110372 | 0.110372 | 0.110372 | 0.110372 | 0 | 0.018151 | 0.102799 | 1,965 | 63 | 115 | 31.190476 | 0.83494 | 0.148092 | 0 | 0.157895 | 0 | 0 | 0.180397 | 0.084185 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.263158 | 0 | 0.263158 | 0.078947 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72c448e2ac75cf97f325c368c89cf5c864f7ebd6 | 34,227 | py | Python | gerber/am_statements.py | FixturFab/pcb-tools | 7b8d1c6ccd9c242c162ede47557bb816233cf66f | [
"Apache-2.0"
] | null | null | null | gerber/am_statements.py | FixturFab/pcb-tools | 7b8d1c6ccd9c242c162ede47557bb816233cf66f | [
"Apache-2.0"
] | null | null | null | gerber/am_statements.py | FixturFab/pcb-tools | 7b8d1c6ccd9c242c162ede47557bb816233cf66f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# copyright 2015 Hamilton Kibbe <ham@hamiltonkib.be> and Paulo Henrique Silva
# <ph.silva@gmail.com>
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License... | 32.690544 | 164 | 0.624302 | 4,023 | 34,227 | 5.195377 | 0.097688 | 0.034161 | 0.011196 | 0.016363 | 0.507488 | 0.4384 | 0.387206 | 0.363667 | 0.313956 | 0.287259 | 0 | 0.01399 | 0.266953 | 34,227 | 1,046 | 165 | 32.721797 | 0.819051 | 0.293891 | 0 | 0.458 | 0 | 0 | 0.066719 | 0.026819 | 0 | 0 | 0 | 0.000956 | 0 | 1 | 0.142 | false | 0.008 | 0.008 | 0.022 | 0.248 | 0.002 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72c7d7e3f8694c5c646ef95b15742cc54526c455 | 4,174 | py | Python | networks/adabins/utils.py | EvoCargo/mono_depth | 3a77291a7fc8f3eaad5f93aa17e2b60c9339a0b1 | [
"MIT"
] | null | null | null | networks/adabins/utils.py | EvoCargo/mono_depth | 3a77291a7fc8f3eaad5f93aa17e2b60c9339a0b1 | [
"MIT"
] | 1 | 2021-06-09T12:56:47.000Z | 2021-06-11T10:49:06.000Z | networks/adabins/utils.py | EvoCargo/mono_depth | 3a77291a7fc8f3eaad5f93aa17e2b60c9339a0b1 | [
"MIT"
] | null | null | null | import base64
import math
import re
from io import BytesIO
import matplotlib.cm
import numpy as np
import torch
import torch.nn
from PIL import Image
# Compute edge magnitudes
from scipy import ndimage
class RunningAverage:
def __init__(self):
self.avg = 0
self.count = 0
... | 28.394558 | 80 | 0.565884 | 594 | 4,174 | 3.880471 | 0.281145 | 0.020824 | 0.014317 | 0.013015 | 0.086768 | 0.035575 | 0.035575 | 0 | 0 | 0 | 0 | 0.047716 | 0.292046 | 4,174 | 146 | 81 | 28.589041 | 0.732318 | 0.081696 | 0 | 0.039216 | 0 | 0 | 0.008717 | 0.005993 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.098039 | 0.029412 | 0.372549 | 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 |
72c85d886bda8e81edae28edb917d772be6187cc | 8,439 | py | Python | gdsfactory/types.py | simbilod/gdsfactory | 4d76db32674c3edb4d16260e3177ee29ef9ce11d | [
"MIT"
] | null | null | null | gdsfactory/types.py | simbilod/gdsfactory | 4d76db32674c3edb4d16260e3177ee29ef9ce11d | [
"MIT"
] | null | null | null | gdsfactory/types.py | simbilod/gdsfactory | 4d76db32674c3edb4d16260e3177ee29ef9ce11d | [
"MIT"
] | null | null | null | """In programming, a factory is a function that returns an object.
Functions are easy to understand because they have clear inputs and outputs.
Most gdsfactory functions take some inputs and return a Component object.
Some of these inputs parameters are also functions.
- Component: Object with.
- name.
- refe... | 25.041543 | 100 | 0.670103 | 958 | 8,439 | 5.824635 | 0.298539 | 0.027599 | 0.014337 | 0.022581 | 0.100179 | 0.063978 | 0.036022 | 0.016487 | 0 | 0 | 0 | 0.008868 | 0.211636 | 8,439 | 336 | 101 | 25.116071 | 0.829851 | 0.221353 | 0 | 0.152074 | 0 | 0 | 0.171081 | 0.010471 | 0 | 0 | 0 | 0 | 0.004608 | 1 | 0.02765 | false | 0.004608 | 0.069124 | 0.009217 | 0.336406 | 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 |
72caabf05592563e94088a4e1c8a8ae64828efbb | 3,253 | py | Python | 5 - FC layers retraining/4 - FC weights to C++ code/weights_pck_to_cpp_unrolled_loop.py | brouwa/CNNs-on-FPSPs | 71bcc2335e6d71ad21ba66e04a651d4db218356d | [
"MIT"
] | 1 | 2021-02-23T21:53:30.000Z | 2021-02-23T21:53:30.000Z | 5 - FC layers retraining/4 - FC weights to C++ code/weights_pck_to_cpp_unrolled_loop.py | brouwa/CNNs-on-FPSPs | 71bcc2335e6d71ad21ba66e04a651d4db218356d | [
"MIT"
] | 1 | 2020-11-13T19:08:27.000Z | 2020-11-13T19:08:27.000Z | 5 - FC layers retraining/4 - FC weights to C++ code/weights_pck_to_cpp_unrolled_loop.py | brouwa/CNNs-on-FPSPs | 71bcc2335e6d71ad21ba66e04a651d4db218356d | [
"MIT"
] | 1 | 2021-03-04T10:17:01.000Z | 2021-03-04T10:17:01.000Z | import pickle
import numpy as np
INPUT_FILENAME = 'NP_WEIGHTS.pck'
PRECISION = 100
# Open weights
fc1_k, fc1_b, fc2_k, fc2_b = pickle.load(
open(INPUT_FILENAME, 'rb'))
# Round them
fc1_k, fc1_b, fc2_k, fc2_b = fc1_k*PRECISION//1, fc1_b*PRECISION//1, fc2_k*PRECISION//1, fc2_b*PRECISION*PRECISION//1
fc1_k, fc1_b, f... | 27.567797 | 117 | 0.619428 | 574 | 3,253 | 3.30662 | 0.167247 | 0.036881 | 0.03372 | 0.021075 | 0.660695 | 0.584299 | 0.584299 | 0.584299 | 0.534773 | 0.5 | 0 | 0.031622 | 0.173686 | 3,253 | 117 | 118 | 27.803419 | 0.674479 | 0.165078 | 0 | 0.375 | 0 | 0 | 0.161085 | 0.023525 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.03125 | 0 | 0.15625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72cb0ad23b1774315b100a3169e33454e096362a | 346 | py | Python | python/Canny_EdgeDetection.py | yubaoliu/Computer-Vision | 2fe4d3e1db0a65ef8c9def5f84d5e494bec3faa9 | [
"BSD-3-Clause"
] | null | null | null | python/Canny_EdgeDetection.py | yubaoliu/Computer-Vision | 2fe4d3e1db0a65ef8c9def5f84d5e494bec3faa9 | [
"BSD-3-Clause"
] | null | null | null | python/Canny_EdgeDetection.py | yubaoliu/Computer-Vision | 2fe4d3e1db0a65ef8c9def5f84d5e494bec3faa9 | [
"BSD-3-Clause"
] | null | null | null |
import cv2
import numpy as np
import random
img = cv2.imread('../../Assets/Images/flower-white.jpeg', 1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
cv2.imshow('img', img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
imgG = cv2.GaussianBlur(gray, (3, 3), 0)
dst = cv2.Canny(img, 50, 50)
cv2.imshow(... | 17.3 | 60 | 0.687861 | 57 | 346 | 4.157895 | 0.54386 | 0.050633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.070234 | 0.135838 | 346 | 20 | 61 | 17.3 | 0.722408 | 0 | 0 | 0 | 0 | 0 | 0.124277 | 0.106936 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 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 |
72cb9ae8cd277faadce0f3f6be82d9d90c087279 | 7,767 | py | Python | avod/core/trainer_stride.py | Guoxs/DODT | f354cda6ef08465018fdeec1a8b4be4002e6a71f | [
"MIT"
] | 1 | 2021-09-01T00:34:17.000Z | 2021-09-01T00:34:17.000Z | avod/core/trainer_stride.py | Guoxs/DODT | f354cda6ef08465018fdeec1a8b4be4002e6a71f | [
"MIT"
] | null | null | null | avod/core/trainer_stride.py | Guoxs/DODT | f354cda6ef08465018fdeec1a8b4be4002e6a71f | [
"MIT"
] | null | null | null | """Detection model trainer.
This file provides a generic training method to train a
DetectionModel.
"""
import datetime
import os
import tensorflow as tf
import time
from avod.builders import optimizer_builder
from avod.core import trainer_utils
from avod.core import summary_utils
slim = tf.contrib.slim
def train(m... | 35.62844 | 87 | 0.643234 | 904 | 7,767 | 5.225664 | 0.21792 | 0.038103 | 0.050381 | 0.020322 | 0.255292 | 0.217189 | 0.210627 | 0.202371 | 0.202371 | 0.202371 | 0 | 0.0081 | 0.26883 | 7,767 | 218 | 88 | 35.62844 | 0.823737 | 0.15862 | 0 | 0.231343 | 0 | 0 | 0.04705 | 0.009913 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007463 | false | 0 | 0.052239 | 0 | 0.059701 | 0.037313 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72cbf3d35b93e0b877b0f490045834b6cee53f3c | 1,237 | py | Python | rest_framework_hmac/hmac_key/models.py | nickc92/django-rest-framework-hmac | c32e37cf00ef0c13957a6e02eb0a7fabac3d1ac1 | [
"BSD-2-Clause"
] | null | null | null | rest_framework_hmac/hmac_key/models.py | nickc92/django-rest-framework-hmac | c32e37cf00ef0c13957a6e02eb0a7fabac3d1ac1 | [
"BSD-2-Clause"
] | null | null | null | rest_framework_hmac/hmac_key/models.py | nickc92/django-rest-framework-hmac | c32e37cf00ef0c13957a6e02eb0a7fabac3d1ac1 | [
"BSD-2-Clause"
] | null | null | null | import binascii
import os
from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
class HMACKey(models.Model):
"""
The default HMACKey model that can auto generate a
key/secret for HMAC Auth via a signal
"""
def generate_key():
... | 30.925 | 73 | 0.673403 | 157 | 1,237 | 5.095541 | 0.541401 | 0.0375 | 0.0275 | 0.045 | 0.0725 | 0.0725 | 0 | 0 | 0 | 0 | 0 | 0.009504 | 0.234438 | 1,237 | 39 | 74 | 31.717949 | 0.835269 | 0.173808 | 0 | 0 | 0 | 0 | 0.071502 | 0.028601 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.2 | 0.04 | 0.64 | 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 |
72cc196deafcaa7796f8d6ee97d9294d3efde7f3 | 6,222 | py | Python | test/conftest.py | Geoiv/river | d013985145c09f263172b054819e811689002ae9 | [
"MIT"
] | null | null | null | test/conftest.py | Geoiv/river | d013985145c09f263172b054819e811689002ae9 | [
"MIT"
] | 2 | 2021-02-10T22:44:36.000Z | 2021-04-09T22:36:41.000Z | test/conftest.py | Geoiv/river | d013985145c09f263172b054819e811689002ae9 | [
"MIT"
] | 1 | 2021-08-24T21:55:34.000Z | 2021-08-24T21:55:34.000Z | import os
from tempfile import NamedTemporaryFile
import boto3
from moto import mock_s3
import pandas as pd
import pandavro as pdx
import pickle
import pytest
@pytest.fixture(autouse=True, scope='session')
def aws_credentials():
"""
Sets AWS credentials to invalid values. Applied to all test functions and
... | 31.907692 | 77 | 0.635969 | 868 | 6,222 | 4.381336 | 0.172811 | 0.056797 | 0.047331 | 0.050486 | 0.531948 | 0.505916 | 0.472259 | 0.424139 | 0.424139 | 0.424139 | 0 | 0.013031 | 0.235294 | 6,222 | 194 | 78 | 32.072165 | 0.786255 | 0.128576 | 0 | 0.373134 | 0 | 0 | 0.116152 | 0.018261 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067164 | false | 0 | 0.059701 | 0 | 0.156716 | 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 |
72cfd36241688b520b69fa546395cf4b9423fe79 | 779 | py | Python | code/contours_sorting_by_area.py | Asadullah-Dal17/contours-detection-advance | 45522492363cc01cb8c66b18790b1859c4efe44d | [
"MIT"
] | 1 | 2021-12-12T12:17:11.000Z | 2021-12-12T12:17:11.000Z | code/contours_sorting_by_area.py | Asadullah-Dal17/contours-detection-advance | 45522492363cc01cb8c66b18790b1859c4efe44d | [
"MIT"
] | null | null | null | code/contours_sorting_by_area.py | Asadullah-Dal17/contours-detection-advance | 45522492363cc01cb8c66b18790b1859c4efe44d | [
"MIT"
] | null | null | null | import cv2 as cv
import numpy as np
def areaFinder(contours):
areas = []
for c in contours:
a =cv.contourArea(c)
areas.append(a)
return areas
def sortedContoursByArea(img, larger_to_smaller=True):
edges_img = cv.Canny(img, 100, 150)
contours , h = cv.findContours(edges_img, cv.RETR_... | 35.409091 | 88 | 0.724005 | 109 | 779 | 5.027523 | 0.46789 | 0.153285 | 0.082117 | 0.113139 | 0.153285 | 0.153285 | 0 | 0 | 0 | 0 | 0 | 0.019939 | 0.16303 | 779 | 22 | 89 | 35.409091 | 0.820552 | 0.03466 | 0 | 0 | 0 | 0 | 0.037284 | 0.033289 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0 | 0.095238 | 0 | 0.285714 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72cfd74acaa21b51c8cdcd979a394eceb3c1b59d | 1,813 | py | Python | matchzoo/metrics/precision.py | ChrisRBXiong/MatchZoo-py | 8883d0933a62610d71fec0215dce643630e03b1c | [
"Apache-2.0"
] | 468 | 2019-07-03T02:43:52.000Z | 2022-03-30T05:51:03.000Z | matchzoo/metrics/precision.py | ChrisRBXiong/MatchZoo-py | 8883d0933a62610d71fec0215dce643630e03b1c | [
"Apache-2.0"
] | 126 | 2019-07-04T15:51:57.000Z | 2021-07-31T13:14:40.000Z | matchzoo/metrics/precision.py | ChrisRBXiong/MatchZoo-py | 8883d0933a62610d71fec0215dce643630e03b1c | [
"Apache-2.0"
] | 117 | 2019-07-04T11:31:08.000Z | 2022-03-18T12:21:32.000Z | """Precision for ranking."""
import numpy as np
from matchzoo.engine.base_metric import (
BaseMetric, sort_and_couple, RankingMetric
)
class Precision(RankingMetric):
"""Precision metric."""
ALIAS = 'precision'
def __init__(self, k: int = 1, threshold: float = 0.):
"""
:class:`Preci... | 30.216667 | 68 | 0.539989 | 226 | 1,813 | 4.137168 | 0.362832 | 0.042781 | 0.032086 | 0.053476 | 0.070588 | 0.047059 | 0.047059 | 0.047059 | 0 | 0 | 0 | 0.0266 | 0.336459 | 1,813 | 59 | 69 | 30.728814 | 0.750623 | 0.385549 | 0 | 0 | 0 | 0 | 0.10262 | 0.04476 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.086957 | 0 | 0.391304 | 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 |
72d0cee317d77c14ae420378473b099449564673 | 4,168 | py | Python | src/main/py/ltprg/config/seq.py | forkunited/ltprg | 4e40d3571d229023df0f845c68643024e04bc202 | [
"MIT"
] | 11 | 2017-08-03T15:42:19.000Z | 2021-02-04T12:43:35.000Z | src/main/py/ltprg/config/seq.py | forkunited/ltprg | 4e40d3571d229023df0f845c68643024e04bc202 | [
"MIT"
] | null | null | null | src/main/py/ltprg/config/seq.py | forkunited/ltprg | 4e40d3571d229023df0f845c68643024e04bc202 | [
"MIT"
] | 1 | 2021-02-04T12:43:37.000Z | 2021-02-04T12:43:37.000Z | from mung.torch_ext.eval import Loss
from ltprg.model.seq import DataParameter, SequenceModelNoInput, SequenceModelInputToHidden, SequenceModelAttendedInput
from ltprg.model.seq import VariableLengthNLLLoss
# Expects config of the form:
# {
# data_parameter : {
# seq : [SEQUENCE PARAMETER NAME]
# inp... | 43.416667 | 120 | 0.676823 | 476 | 4,168 | 5.661765 | 0.189076 | 0.053061 | 0.031169 | 0.029685 | 0.35436 | 0.337291 | 0.327644 | 0.327644 | 0.299443 | 0.299443 | 0 | 0.000917 | 0.215451 | 4,168 | 95 | 121 | 43.873684 | 0.823242 | 0.25048 | 0 | 0.25 | 0 | 0 | 0.12012 | 0.015682 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.053571 | 0 | 0.125 | 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 |
72d67501443e4ca7891e84e39882fcf4f2a78705 | 1,623 | py | Python | scripts/game.py | davidnegrazis/PyPlayText-Workshop | 70156b73c1d2ab52daaef839b72450e331ff1e80 | [
"MIT"
] | null | null | null | scripts/game.py | davidnegrazis/PyPlayText-Workshop | 70156b73c1d2ab52daaef839b72450e331ff1e80 | [
"MIT"
] | null | null | null | scripts/game.py | davidnegrazis/PyPlayText-Workshop | 70156b73c1d2ab52daaef839b72450e331ff1e80 | [
"MIT"
] | null | null | null | from sys import exit
# ------------------------------------------------------------------------------
global dev_name
global game_title
dev_name = "" # enter your name in the quotes!
game_title = "" # enter the game title in the quotes!
# ------------------------------------------------------------------------------
... | 22.541667 | 93 | 0.51756 | 194 | 1,623 | 4.231959 | 0.42268 | 0.051157 | 0.026797 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012195 | 0.242144 | 1,623 | 71 | 94 | 22.859155 | 0.655285 | 0.390018 | 0 | 0.097561 | 0 | 0 | 0.174538 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0 | 0.02439 | 0 | 0.121951 | 0.146341 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72d812548fd737a5e6c2dd14c16ac5901a2c0669 | 1,018 | py | Python | src/elections_address_files/commands/zip_files.py | gregbunce/assign_vista_pcts_to_sgid_addrpnts | c1a3210e68c8c1e94c0b68547d0c26697de77ff7 | [
"MIT"
] | null | null | null | src/elections_address_files/commands/zip_files.py | gregbunce/assign_vista_pcts_to_sgid_addrpnts | c1a3210e68c8c1e94c0b68547d0c26697de77ff7 | [
"MIT"
] | 1 | 2021-09-01T20:10:29.000Z | 2021-09-01T20:10:29.000Z | src/elections_address_files/commands/zip_files.py | gregbunce/assign_vista_pcts_to_sgid_addrpnts | c1a3210e68c8c1e94c0b68547d0c26697de77ff7 | [
"MIT"
] | null | null | null | import os, zipfile
# Zip files.
def zipfiles(directory):
# File extension to zip.
#ext = ('.gdb', '.csv')
ext = ('.gdb')
# Iterate over all files and check for desired extentions for zipping.
for file in os.listdir(directory):
if file.endswith(ext):
#: Zip it.
... | 33.933333 | 109 | 0.570727 | 131 | 1,018 | 4.221374 | 0.458015 | 0.086799 | 0.108499 | 0.151899 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009818 | 0.299607 | 1,018 | 29 | 110 | 35.103448 | 0.765778 | 0.130648 | 0 | 0 | 0 | 0 | 0.076223 | 0.037543 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.117647 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72dca5ec94eec75c7728a1bea9a137060f5e6849 | 5,097 | py | Python | mars/services/web/tests/test_core.py | yuyiming/mars | 5e6990d1ea022444dd646c56697e596ef5d7e747 | [
"Apache-2.0"
] | 1 | 2022-02-24T08:39:26.000Z | 2022-02-24T08:39:26.000Z | mars/services/web/tests/test_core.py | yuyiming/mars | 5e6990d1ea022444dd646c56697e596ef5d7e747 | [
"Apache-2.0"
] | null | null | null | mars/services/web/tests/test_core.py | yuyiming/mars | 5e6990d1ea022444dd646c56697e596ef5d7e747 | [
"Apache-2.0"
] | null | null | null | # Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# 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 a... | 33.754967 | 88 | 0.679419 | 707 | 5,097 | 4.649222 | 0.261669 | 0.049285 | 0.043505 | 0.056891 | 0.404624 | 0.378765 | 0.368421 | 0.350776 | 0.332522 | 0.310009 | 0 | 0.011157 | 0.191093 | 5,097 | 150 | 89 | 33.98 | 0.786078 | 0.111634 | 0 | 0.07619 | 0 | 0 | 0.267612 | 0.10988 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.047619 | false | 0 | 0.085714 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72dd8b3d7047f515b38a96161e263e0136b29c7e | 3,419 | py | Python | test/test.py | caizhanjin/deepseg | 5e91a387683ad73075b51b49da8957d8f4bb6b7f | [
"Apache-2.0"
] | null | null | null | test/test.py | caizhanjin/deepseg | 5e91a387683ad73075b51b49da8957d8f4bb6b7f | [
"Apache-2.0"
] | null | null | null | test/test.py | caizhanjin/deepseg | 5e91a387683ad73075b51b49da8957d8f4bb6b7f | [
"Apache-2.0"
] | null | null | null | """
例子为MNIST,对手写图片进行分类。
神经网络hello world。
"""
import tensorflow as tf
import numpy as np
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
# 封装网络用到的API
def weight_variable(shape):
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.... | 24.956204 | 74 | 0.563908 | 495 | 3,419 | 3.652525 | 0.262626 | 0.044801 | 0.024889 | 0.028761 | 0.181416 | 0.106748 | 0.106748 | 0.08573 | 0.08573 | 0.08573 | 0 | 0.071076 | 0.288096 | 3,419 | 136 | 75 | 25.139706 | 0.671734 | 0.157356 | 0 | 0.142857 | 0 | 0 | 0.019473 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0 | 0.047619 | 0.031746 | 0.174603 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72df31fd0b80ac5547d308a5a1ccd1a315222eb8 | 7,607 | py | Python | Camvid/CamVid_utlis.py | Water2style/FCN-pytorch-CanRun | b2994f98930580cd2c32f58d19f94becb68a3ccb | [
"MIT"
] | 7 | 2019-03-17T15:58:44.000Z | 2022-01-28T20:06:38.000Z | Camvid/CamVid_utlis.py | cenchaojun/FCN-pytorch-CanRun | 364d42590c592bed77a760b0a567ccffe93f59bb | [
"MIT"
] | null | null | null | Camvid/CamVid_utlis.py | cenchaojun/FCN-pytorch-CanRun | 364d42590c592bed77a760b0a567ccffe93f59bb | [
"MIT"
] | 1 | 2019-11-04T06:42:05.000Z | 2019-11-04T06:42:05.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function
from matplotlib import pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import scipy.misc
import random
import os
import imageio
#############################
# global variables #
#############################
root_dir = "/ho... | 40.897849 | 102 | 0.574471 | 927 | 7,607 | 4.581446 | 0.389428 | 0.021191 | 0.03061 | 0.019779 | 0.151401 | 0.136567 | 0.08971 | 0.059336 | 0.059336 | 0.059336 | 0 | 0.029423 | 0.285132 | 7,607 | 186 | 103 | 40.897849 | 0.751563 | 0.384909 | 0 | 0.154639 | 0 | 0 | 0.06257 | 0.00668 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030928 | false | 0 | 0.082474 | 0 | 0.113402 | 0.082474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72dfdaa4454ede71b658a424efe5fbeaae467461 | 804 | py | Python | stream-reasoner/ws_client.py | patrik999/AdaptiveStreamReasoningMonitoring | 7bbfa1a394e0127e0c4ea670a632be216c83faea | [
"Apache-2.0"
] | 1 | 2021-04-23T11:37:01.000Z | 2021-04-23T11:37:01.000Z | stream-reasoner/ws_client.py | patrik999/AdaptiveStreamReasoningMonitoring | 7bbfa1a394e0127e0c4ea670a632be216c83faea | [
"Apache-2.0"
] | null | null | null | stream-reasoner/ws_client.py | patrik999/AdaptiveStreamReasoningMonitoring | 7bbfa1a394e0127e0c4ea670a632be216c83faea | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import websocket
import time
try:
import thread
except ImportError:
import _thread as thread
runs = 100
def on_message(ws, message):
print(message)
def on_error(ws, error):
print(error)
def on_close(ws):
print("### closed ###")
def on_open(ws):
... | 18.697674 | 104 | 0.589552 | 104 | 804 | 4.326923 | 0.451923 | 0.044444 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015679 | 0.28607 | 804 | 42 | 105 | 19.142857 | 0.768293 | 0.024876 | 0 | 0 | 0 | 0 | 0.089069 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.178571 | 0 | 0.357143 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72e01bf0a4210399b76b4de5d871a56ed311bc12 | 3,915 | py | Python | whole_cell_patch/filterDialog.py | 11uc/whole_cell_patch | 84e11bbb904b363a6bb5af878d46e23d789c5be0 | [
"MIT"
] | 2 | 2021-08-03T13:05:55.000Z | 2021-08-25T15:03:24.000Z | whole_cell_patch/filterDialog.py | 11uc/whole_cell_patch | 84e11bbb904b363a6bb5af878d46e23d789c5be0 | [
"MIT"
] | null | null | null | whole_cell_patch/filterDialog.py | 11uc/whole_cell_patch | 84e11bbb904b363a6bb5af878d46e23d789c5be0 | [
"MIT"
] | null | null | null | # Dialogs for setting filter parameters.
from PyQt5.QtWidgets import QLabel, QGridLayout, QPushButton, \
QLineEdit, QVBoxLayout, QHBoxLayout, QDialog, QComboBox, QWidget
from PyQt5.QtCore import pyqtSignal
class FilterDialog(QDialog):
'''
Dialog for choosing filter types.
'''
def __init__(self, default, parent ... | 24.778481 | 72 | 0.678927 | 490 | 3,915 | 5.385714 | 0.297959 | 0.041682 | 0.022736 | 0.024252 | 0.153088 | 0.090944 | 0.058355 | 0.039409 | 0 | 0 | 0 | 0.006001 | 0.191315 | 3,915 | 157 | 73 | 24.936306 | 0.827543 | 0.347126 | 0 | 0.225 | 0 | 0 | 0.010081 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.025 | 0 | 0.1625 | 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 |
72e01bffe818f26ef544964b5648f4372f9a04d4 | 813 | py | Python | projects/controllable_dialogue/tasks/agents.py | zl930216/ParlAI | abf0ad6d1779af0f8ce0b5aed00d2bab71416684 | [
"MIT"
] | 41 | 2019-06-07T17:36:10.000Z | 2021-11-16T06:26:16.000Z | projects/controllable_dialogue/tasks/agents.py | zl930216/ParlAI | abf0ad6d1779af0f8ce0b5aed00d2bab71416684 | [
"MIT"
] | 316 | 2021-03-19T14:53:31.000Z | 2022-03-27T03:36:51.000Z | projects/controllable_dialogue/tasks/agents.py | zl930216/ParlAI | abf0ad6d1779af0f8ce0b5aed00d2bab71416684 | [
"MIT"
] | 11 | 2019-06-06T01:19:08.000Z | 2020-07-23T07:34:56.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import copy
from .build import build, make_path
from parlai.utils.misc import warn_once
from parlai.core.teachers import... | 30.111111 | 79 | 0.702337 | 108 | 813 | 5.148148 | 0.611111 | 0.03777 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003044 | 0.191882 | 813 | 26 | 80 | 31.269231 | 0.843227 | 0.233702 | 0 | 0 | 0 | 0 | 0.174475 | 0.045234 | 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 |
72e12151f37d1939bde729526720c6ed8432a926 | 4,345 | py | Python | Roche.py | murbanec/Roche2D | a4d7e85e893fd6f18c12b682c2c8ca33b2b549a6 | [
"MIT"
] | null | null | null | Roche.py | murbanec/Roche2D | a4d7e85e893fd6f18c12b682c2c8ca33b2b549a6 | [
"MIT"
] | null | null | null | Roche.py | murbanec/Roche2D | a4d7e85e893fd6f18c12b682c2c8ca33b2b549a6 | [
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 14 10:37:04 2021
@author: martin urbanec
"""
#calculates trajectory of small mass positioned close to L4 Lagrange point
#creates gif as output
import math
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation, PillowWriter
... | 22.630208 | 161 | 0.595397 | 924 | 4,345 | 2.779221 | 0.257576 | 0.030374 | 0.017134 | 0.021417 | 0.190421 | 0.101636 | 0.083723 | 0.066978 | 0.053738 | 0.053738 | 0 | 0.104114 | 0.177675 | 4,345 | 191 | 162 | 22.748691 | 0.61461 | 0.272957 | 0 | 0.06422 | 0 | 0 | 0.011513 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045872 | false | 0 | 0.036697 | 0 | 0.110092 | 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 |
72e1bd59d28fcd4bceaa6c1453fe80d65e9ccc96 | 5,078 | py | Python | youtube_dl/extractor/azubu.py | LyleH/youtube-dl | 7564b09ef5c09454908f78cb91c3bd2d6daacac5 | [
"Unlicense"
] | null | null | null | youtube_dl/extractor/azubu.py | LyleH/youtube-dl | 7564b09ef5c09454908f78cb91c3bd2d6daacac5 | [
"Unlicense"
] | null | null | null | youtube_dl/extractor/azubu.py | LyleH/youtube-dl | 7564b09ef5c09454908f78cb91c3bd2d6daacac5 | [
"Unlicense"
] | null | null | null | from __future__ import unicode_literals
import json
from .common import InfoExtractor
from ..utils import (
ExtractorError,
float_or_none,
sanitized_Request,
)
class AzubuIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?azubu\.tv/[^/]+#!/play/(?P<id>\d+)'
_TESTS = [
{
'ur... | 36.797101 | 200 | 0.551398 | 505 | 5,078 | 5.382178 | 0.362376 | 0.018028 | 0.022075 | 0.020603 | 0.185798 | 0.135394 | 0.049301 | 0.049301 | 0.022075 | 0 | 0 | 0.06883 | 0.29618 | 5,078 | 137 | 201 | 37.065693 | 0.691662 | 0 | 0 | 0.136752 | 0 | 0.025641 | 0.337141 | 0.086648 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017094 | false | 0 | 0.034188 | 0 | 0.119658 | 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 |
72e2f4f20411bdef4f641e8d7563731afc8c78a7 | 8,157 | py | Python | conda_build/main_develop.py | dan-blanchard/conda-build | 2db31bb2c48d2459e16df80172967d906f43b355 | [
"BSD-3-Clause"
] | null | null | null | conda_build/main_develop.py | dan-blanchard/conda-build | 2db31bb2c48d2459e16df80172967d906f43b355 | [
"BSD-3-Clause"
] | null | null | null | conda_build/main_develop.py | dan-blanchard/conda-build | 2db31bb2c48d2459e16df80172967d906f43b355 | [
"BSD-3-Clause"
] | null | null | null | # (c) Continuum Analytics, Inc. / http://continuum.io
# All Rights Reserved
#
# conda is distributed under the terms of the BSD 3-clause license.
# Consult LICENSE.txt or http://opensource.org/licenses/BSD-3-Clause.
from __future__ import absolute_import, division, print_function
import sys
from os.path import join, ... | 32.891129 | 79 | 0.60868 | 1,102 | 8,157 | 4.35118 | 0.244102 | 0.039416 | 0.035037 | 0.01585 | 0.161001 | 0.111783 | 0.074661 | 0.055474 | 0.044213 | 0.027112 | 0 | 0.001891 | 0.286993 | 8,157 | 247 | 80 | 33.024292 | 0.822558 | 0.301581 | 0 | 0.117647 | 0 | 0 | 0.239803 | 0.017116 | 0 | 0 | 0 | 0.008097 | 0 | 1 | 0.066176 | false | 0 | 0.073529 | 0 | 0.154412 | 0.088235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72e3326bd28b6a407fd1315276c6cbaaa56add9a | 494 | py | Python | benchmarking/experiments/sanity_check.py | ltgoslo/norBERT | d75d5c12d9b7f9cc11c65757f2228b7e6070b69b | [
"CC0-1.0"
] | 19 | 2021-01-18T13:51:08.000Z | 2022-03-05T07:32:26.000Z | benchmarking/experiments/sanity_check.py | ltgoslo/norBERT | d75d5c12d9b7f9cc11c65757f2228b7e6070b69b | [
"CC0-1.0"
] | 2 | 2021-02-05T16:09:44.000Z | 2021-06-16T18:56:47.000Z | benchmarking/experiments/sanity_check.py | ltgoslo/norBERT | d75d5c12d9b7f9cc11c65757f2228b7e6070b69b | [
"CC0-1.0"
] | 1 | 2021-04-29T20:26:55.000Z | 2021-04-29T20:26:55.000Z | #!/bin/env python3
from transformers import TFBertForTokenClassification
from data_preparation.data_preparation_pos import MBERTTokenizer as MBERT_Tokenizer_pos
import sys
if __name__ == "__main__":
if len(sys.argv) > 1:
modelname = sys.argv[1]
else:
modelname = "ltgoslo/norbert"
model = T... | 32.933333 | 87 | 0.769231 | 58 | 494 | 6.206897 | 0.586207 | 0.177778 | 0.094444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007177 | 0.153846 | 494 | 14 | 88 | 35.285714 | 0.854067 | 0.034413 | 0 | 0 | 0 | 0 | 0.048319 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72e3f9ddf2ff488e4523f7cf3d57f420ea39a9f3 | 6,992 | py | Python | mlmodels/model_tch/nbeats/model.py | gitter-badger/mlmodels | f08cc9b6ec202d4ad25ecdda2f44487da387569d | [
"MIT"
] | 1 | 2019-12-10T06:38:08.000Z | 2019-12-10T06:38:08.000Z | mlmodels/model_tch/nbeats/model.py | whitetiger1002/mlmodels | f70f1da7434e8855eed50adc67b49cc169f2ea24 | [
"MIT"
] | null | null | null | mlmodels/model_tch/nbeats/model.py | whitetiger1002/mlmodels | f70f1da7434e8855eed50adc67b49cc169f2ea24 | [
"MIT"
] | null | null | null | import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
def seasonality_model(thetas, t, device):
p = thetas.size()[-1]
assert p < 10, 'thetas_dim is too big.'
p1, p2 = (p // 2, p // 2) if p % 2 == 0 else (p // 2, p // 2 + 1)
s1 = torch.tensor([np.cos(2 * np.pi * i * ... | 39.502825 | 119 | 0.635441 | 923 | 6,992 | 4.547129 | 0.138678 | 0.076721 | 0.036693 | 0.053371 | 0.433167 | 0.297832 | 0.239695 | 0.228258 | 0.228258 | 0.203479 | 0 | 0.011523 | 0.255292 | 6,992 | 176 | 120 | 39.727273 | 0.794507 | 0.017305 | 0 | 0.169014 | 0 | 0 | 0.05609 | 0.032925 | 0 | 0 | 0 | 0 | 0.014085 | 1 | 0.112676 | false | 0 | 0.028169 | 0 | 0.288732 | 0.021127 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72e5fa5123e3b4ee554b59dbd26a061b553bcda4 | 2,916 | py | Python | BACKPROPAGATION/Backprop.py | chaya-v/AI-ML-Lab-Programs | cb2e91cf62376f5f95395e89357fa0bef730deed | [
"MIT"
] | 2 | 2022-01-03T07:28:21.000Z | 2022-01-23T06:49:47.000Z | BACKPROPAGATION/Backprop.py | chaya-v/AI-ML-Lab-Programs | cb2e91cf62376f5f95395e89357fa0bef730deed | [
"MIT"
] | null | null | null | BACKPROPAGATION/Backprop.py | chaya-v/AI-ML-Lab-Programs | cb2e91cf62376f5f95395e89357fa0bef730deed | [
"MIT"
] | 1 | 2022-01-03T07:28:22.000Z | 2022-01-03T07:28:22.000Z | from math import exp
from random import seed
from random import random
def initialize_network(n_inputs, n_hidden, n_outputs):
network = list()
hidden_layer = [{'weights':[random() for i in range(n_inputs + 1)]} for i in range(n_hidden)]
network.append(hidden_layer)
output_layer = [{'weights':[random() for i in r... | 29.16 | 95 | 0.682785 | 448 | 2,916 | 4.341518 | 0.1875 | 0.046787 | 0.027764 | 0.045244 | 0.231877 | 0.154756 | 0.062725 | 0.062725 | 0.031877 | 0 | 0 | 0.097511 | 0.159465 | 2,916 | 100 | 96 | 29.16 | 0.696042 | 0 | 0 | 0.084337 | 0 | 0 | 0.042852 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096386 | false | 0 | 0.036145 | 0.024096 | 0.192771 | 0.024096 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72e64a1d83c3d728c1a241962b109b3208e3da0f | 1,993 | py | Python | tests/multi_design_test.py | benoitc/hypercouch | 23055c26529a7f2198288b249b45d05b796e78bf | [
"MIT"
] | 3 | 2016-05-08T23:45:29.000Z | 2020-01-21T11:12:46.000Z | tests/multi_design_test.py | benoitc/hypercouch | 23055c26529a7f2198288b249b45d05b796e78bf | [
"MIT"
] | null | null | null | tests/multi_design_test.py | benoitc/hypercouch | 23055c26529a7f2198288b249b45d05b796e78bf | [
"MIT"
] | null | null | null | """\
Copyright (c) 2009 Paul J. Davis <paul.joseph.davis@gmail.com>
This file is part of hypercouch which is released uner the MIT license.
"""
import time
import unittest
import couchdb
COUCHURI = "http://127.0.0.1:5984/"
TESTDB = "hyper_tests"
class MultiDesignTest(unittest.TestCase):
def setUp(self):
s... | 32.145161 | 113 | 0.515805 | 247 | 1,993 | 4.093117 | 0.421053 | 0.034619 | 0.051434 | 0.055391 | 0.077151 | 0.0455 | 0 | 0 | 0 | 0 | 0 | 0.026393 | 0.315605 | 1,993 | 61 | 114 | 32.672131 | 0.714809 | 0.067235 | 0 | 0.215686 | 0 | 0 | 0.280151 | 0 | 0 | 0 | 0 | 0 | 0.078431 | 1 | 0.098039 | false | 0 | 0.058824 | 0 | 0.196078 | 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 |
72e6e5211adcbf36c0973a390acaf06195e58f6f | 6,739 | py | Python | python/dgl/nn/pytorch/sparse_emb.py | wcyjames/dgl | 00a668ac6898971aa154a8a3fe851010034fd6bf | [
"Apache-2.0"
] | null | null | null | python/dgl/nn/pytorch/sparse_emb.py | wcyjames/dgl | 00a668ac6898971aa154a8a3fe851010034fd6bf | [
"Apache-2.0"
] | null | null | null | python/dgl/nn/pytorch/sparse_emb.py | wcyjames/dgl | 00a668ac6898971aa154a8a3fe851010034fd6bf | [
"Apache-2.0"
] | 1 | 2021-08-16T08:33:31.000Z | 2021-08-16T08:33:31.000Z | """Torch NodeEmbedding."""
from datetime import timedelta
import torch as th
from ...backend import pytorch as F
from ...utils import get_shared_mem_array, create_shared_mem_array
_STORE = None
class NodeEmbedding: # NodeEmbedding
'''Class for storing node embeddings.
The class is optimized for training larg... | 30.355856 | 99 | 0.588811 | 787 | 6,739 | 4.905972 | 0.265565 | 0.030303 | 0.014245 | 0.021756 | 0.16317 | 0.135198 | 0.118104 | 0.118104 | 0.09583 | 0.09583 | 0 | 0.010137 | 0.326606 | 6,739 | 221 | 100 | 30.493213 | 0.840679 | 0.485384 | 0 | 0.181818 | 0 | 0 | 0.004289 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.155844 | false | 0 | 0.051948 | 0 | 0.337662 | 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 |
72e73a6f2f22fa84ad441b95a06268e872edfef4 | 2,815 | py | Python | tests/sentry/web/frontend/test_create_team.py | seukjung/sentry-custom | c5f6bb2019aef3caff7f3e2b619f7a70f2b9b963 | [
"BSD-3-Clause"
] | 20 | 2016-10-01T04:29:24.000Z | 2020-10-09T07:23:34.000Z | tests/sentry/web/frontend/test_create_team.py | fotinakis/sentry | c5cfa5c5e47475bf5ef41e702548c2dfc7bb8a7c | [
"BSD-3-Clause"
] | 8 | 2019-12-28T23:49:55.000Z | 2022-03-02T04:34:18.000Z | tests/sentry/web/frontend/test_create_team.py | fotinakis/sentry | c5cfa5c5e47475bf5ef41e702548c2dfc7bb8a7c | [
"BSD-3-Clause"
] | 7 | 2016-10-27T05:12:45.000Z | 2021-05-01T14:29:53.000Z | from __future__ import absolute_import
from django.core.urlresolvers import reverse
from sentry.models import OrganizationMember, OrganizationMemberTeam, Team
from sentry.testutils import TestCase, PermissionTestCase
class CreateTeamPermissionTest(PermissionTestCase):
def setUp(self):
super(CreateTeamPe... | 32.356322 | 81 | 0.649023 | 304 | 2,815 | 5.828947 | 0.25 | 0.027652 | 0.053612 | 0.051919 | 0.358916 | 0.335214 | 0.288375 | 0.255643 | 0.255643 | 0.255643 | 0 | 0.004212 | 0.240853 | 2,815 | 86 | 82 | 32.732558 | 0.824988 | 0 | 0 | 0.318182 | 0 | 0 | 0.077087 | 0.015631 | 0 | 0 | 0 | 0 | 0.19697 | 1 | 0.121212 | false | 0 | 0.060606 | 0 | 0.212121 | 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 |
72ee24f7120a48a59768912e69a446c1ca036274 | 10,706 | py | Python | pyxdsm/tests/test_xdsm.py | yqliaohk/pyXDSM | 3bcfab710543d6624ba0698093c6522bc94601e8 | [
"Apache-2.0"
] | null | null | null | pyxdsm/tests/test_xdsm.py | yqliaohk/pyXDSM | 3bcfab710543d6624ba0698093c6522bc94601e8 | [
"Apache-2.0"
] | null | null | null | pyxdsm/tests/test_xdsm.py | yqliaohk/pyXDSM | 3bcfab710543d6624ba0698093c6522bc94601e8 | [
"Apache-2.0"
] | null | null | null | import unittest
import os
from pyxdsm.XDSM import XDSM, __file__
from numpy.distutils.exec_command import find_executable
def filter_lines(lns):
# Empty lines are excluded.
# Leading and trailing whitespaces are removed
# Comments are removed.
return [ln.strip() for ln in lns if ln.strip() and not ln.... | 33.772871 | 110 | 0.515412 | 1,296 | 10,706 | 4.114198 | 0.204475 | 0.060765 | 0.028132 | 0.033758 | 0.306264 | 0.249437 | 0.213053 | 0.187172 | 0.171793 | 0.171793 | 0 | 0.014456 | 0.32804 | 10,706 | 316 | 111 | 33.879747 | 0.726717 | 0.084252 | 0 | 0.219409 | 0 | 0.004219 | 0.488878 | 0.027781 | 0 | 0 | 0 | 0 | 0.059072 | 1 | 0.033755 | false | 0.004219 | 0.033755 | 0.004219 | 0.075949 | 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 |
72f6da1974a7d86bd87801e4461a62cded6e702d | 1,379 | py | Python | to_display.py | namib-project/weatherstation-image | ae6a11943bfd21135bf0ce5d113865b69c58bbe2 | [
"MIT"
] | null | null | null | to_display.py | namib-project/weatherstation-image | ae6a11943bfd21135bf0ce5d113865b69c58bbe2 | [
"MIT"
] | null | null | null | to_display.py | namib-project/weatherstation-image | ae6a11943bfd21135bf0ce5d113865b69c58bbe2 | [
"MIT"
] | null | null | null | from PIL import Image
from PIL import ImageDraw
from PIL import ImageFont
import sys
import ST7735
# Create ST7735 LCD display class object and set pin numbers and display hardware information.
disp = ST7735.ST7735(
dc=24,
cs=ST7735.BG_SPI_CS_BACK,
rst=25,
port=0,
width=122,
height=160,
ro... | 26.519231 | 96 | 0.701233 | 229 | 1,379 | 4.213974 | 0.519651 | 0.050777 | 0.033161 | 0.029016 | 0.043523 | 0.043523 | 0 | 0 | 0 | 0 | 0 | 0.076249 | 0.172589 | 1,379 | 51 | 97 | 27.039216 | 0.768624 | 0.329224 | 0 | 0.058824 | 0 | 0 | 0.146288 | 0.115721 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.147059 | 0 | 0.147059 | 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 |
72f7f3e6d5b462f2c1a23997a28ebc45762b8fc7 | 245 | py | Python | Smart User Targeted Advertising/MinorPro/FINALPROJECT/Resources/testInsert.py | saransh808/Projects | 7449ed6b53900ebb16a9084cff389cc50f3c9f6c | [
"MIT"
] | null | null | null | Smart User Targeted Advertising/MinorPro/FINALPROJECT/Resources/testInsert.py | saransh808/Projects | 7449ed6b53900ebb16a9084cff389cc50f3c9f6c | [
"MIT"
] | null | null | null | Smart User Targeted Advertising/MinorPro/FINALPROJECT/Resources/testInsert.py | saransh808/Projects | 7449ed6b53900ebb16a9084cff389cc50f3c9f6c | [
"MIT"
] | null | null | null | import sqlite3
conn=sqlite3.connect('Survey.db')
fo=open('insertcommand.txt')
str=fo.readline()
while str:
str="INSERT INTO data VALUES"+str
conn.execute(str)
#print(str)
str=fo.readline()
conn.commit()
conn.close()
fo.close()
| 16.333333 | 37 | 0.689796 | 36 | 245 | 4.694444 | 0.583333 | 0.059172 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009524 | 0.142857 | 245 | 14 | 38 | 17.5 | 0.795238 | 0.040816 | 0 | 0.181818 | 0 | 0 | 0.209402 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72f91b913afb43954a794d5c35602920d06bf7b3 | 11,325 | py | Python | tests/test_core.py | d066y/detectem | 648ddff159e17777e41b1dd266a759e9f0774ea8 | [
"MIT"
] | null | null | null | tests/test_core.py | d066y/detectem | 648ddff159e17777e41b1dd266a759e9f0774ea8 | [
"MIT"
] | null | null | null | tests/test_core.py | d066y/detectem | 648ddff159e17777e41b1dd266a759e9f0774ea8 | [
"MIT"
] | 1 | 2019-07-28T10:11:01.000Z | 2019-07-28T10:11:01.000Z | import pytest
from detectem.core import Detector, Result, ResultCollection
from detectem.plugin import Plugin, PluginCollection
from detectem.settings import INDICATOR_TYPE, HINT_TYPE, MAIN_ENTRY, GENERIC_TYPE
from detectem.plugins.helpers import meta_generator
class TestDetector():
HAR_ENTRY_1 = {
'requ... | 32.449857 | 93 | 0.47947 | 1,117 | 11,325 | 4.696509 | 0.120859 | 0.047083 | 0.045368 | 0.048037 | 0.62886 | 0.571102 | 0.521159 | 0.516775 | 0.479604 | 0.453679 | 0 | 0.011486 | 0.346578 | 11,325 | 348 | 94 | 32.543103 | 0.697432 | 0 | 0 | 0.357143 | 0 | 0 | 0.189404 | 0.012804 | 0 | 0 | 0 | 0 | 0.055195 | 1 | 0.055195 | false | 0 | 0.016234 | 0 | 0.123377 | 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 |
72fa110e2fe65a7ff391593c876372e3cc4ad11c | 8,317 | py | Python | twitter-clone/twitter/views.py | Mlitwin98/twitter-clone | 4fbe754a4693c39ac4e9623f51ca42a7facecd2e | [
"MIT"
] | null | null | null | twitter-clone/twitter/views.py | Mlitwin98/twitter-clone | 4fbe754a4693c39ac4e9623f51ca42a7facecd2e | [
"MIT"
] | null | null | null | twitter-clone/twitter/views.py | Mlitwin98/twitter-clone | 4fbe754a4693c39ac4e9623f51ca42a7facecd2e | [
"MIT"
] | null | null | null | from django.dispatch.dispatcher import receiver
from django.shortcuts import get_object_or_404, redirect, render
from django.contrib.auth.decorators import login_required
from django.http.response import HttpResponse
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, logout as aut... | 39.046948 | 242 | 0.666106 | 990 | 8,317 | 5.464646 | 0.157576 | 0.058965 | 0.031608 | 0.024584 | 0.438078 | 0.359704 | 0.292052 | 0.201294 | 0.154713 | 0.154713 | 0 | 0.001993 | 0.215823 | 8,317 | 213 | 243 | 39.046948 | 0.827507 | 0.006132 | 0 | 0.360465 | 0 | 0 | 0.075387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075581 | false | 0.02907 | 0.075581 | 0.005814 | 0.296512 | 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 |
72fc770cdae73372ef5eddce8deb799fc40b9990 | 3,078 | py | Python | tests/kbcr/smart/test_smart.py | alex4321/ctp | 22a6a55442a648e5f7d8c10f90708a7340360720 | [
"MIT"
] | null | null | null | tests/kbcr/smart/test_smart.py | alex4321/ctp | 22a6a55442a648e5f7d8c10f90708a7340360720 | [
"MIT"
] | null | null | null | tests/kbcr/smart/test_smart.py | alex4321/ctp | 22a6a55442a648e5f7d8c10f90708a7340360720 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import torch
from torch import nn
from kbcr.kernels import GaussianKernel
from kbcr.smart import NeuralKB
import pytest
@pytest.mark.light
def test_smart_v1():
embedding_size = 50
rs = np.random.RandomState(0)
for _ in range(32):
with torch.no_grad(... | 30.475248 | 108 | 0.525016 | 394 | 3,078 | 3.819797 | 0.266497 | 0.03588 | 0.025914 | 0.043854 | 0.190033 | 0.102326 | 0.082392 | 0 | 0 | 0 | 0 | 0.018765 | 0.342105 | 3,078 | 100 | 109 | 30.78 | 0.724444 | 0.012021 | 0 | 0 | 0 | 0 | 0.016458 | 0 | 0 | 0 | 0 | 0 | 0.028986 | 1 | 0.014493 | false | 0 | 0.086957 | 0 | 0.101449 | 0.072464 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72fca82d10a22b6f1dadf793abb5d2d66ab69ad0 | 254 | py | Python | test.py | eseJiHeaLim/find_child | 29596529ccf39241492b092b01baf03b76d0eb3a | [
"MIT"
] | null | null | null | test.py | eseJiHeaLim/find_child | 29596529ccf39241492b092b01baf03b76d0eb3a | [
"MIT"
] | null | null | null | test.py | eseJiHeaLim/find_child | 29596529ccf39241492b092b01baf03b76d0eb3a | [
"MIT"
] | null | null | null | import tkinter
window=tkinter.Tk()
window.title("YUN DAE HEE")
window.geometry("640x400+100+100")
window.resizable(True, True)
image=tkinter.PhotoImage(file="opencv_frame_0.png")
label=tkinter.Label(window, image=image)
label.pack()
window.mainloop() | 19.538462 | 51 | 0.775591 | 37 | 254 | 5.27027 | 0.621622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054852 | 0.066929 | 254 | 13 | 52 | 19.538462 | 0.767932 | 0 | 0 | 0 | 0 | 0 | 0.172549 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 |
72fd5b11bfca65c6e323b75581cbff1627fbd28f | 1,547 | py | Python | ievv_opensource/utils/ievv_colorize.py | appressoas/ievv_opensource | 63e87827952ddc8f6f86145b79478ef21d6a0990 | [
"BSD-3-Clause"
] | null | null | null | ievv_opensource/utils/ievv_colorize.py | appressoas/ievv_opensource | 63e87827952ddc8f6f86145b79478ef21d6a0990 | [
"BSD-3-Clause"
] | 37 | 2015-10-26T09:14:12.000Z | 2022-02-10T10:35:33.000Z | ievv_opensource/utils/ievv_colorize.py | appressoas/ievv_opensource | 63e87827952ddc8f6f86145b79478ef21d6a0990 | [
"BSD-3-Clause"
] | 1 | 2015-11-06T07:56:34.000Z | 2015-11-06T07:56:34.000Z | from django.conf import settings
from termcolor import colored
#: Red color constant for :func:`.ievv_colorize`.
COLOR_RED = 'red'
#: Blue color constant for :func:`.ievv_colorize`.
COLOR_BLUE = 'blue'
#: Yellow color constant for :func:`.ievv_colorize`.
COLOR_YELLOW = 'yellow'
#: Grey color constant for :func:`.i... | 25.783333 | 82 | 0.614092 | 195 | 1,547 | 4.723077 | 0.333333 | 0.156352 | 0.129207 | 0.108578 | 0.294245 | 0.294245 | 0.294245 | 0.093377 | 0 | 0 | 0 | 0 | 0.266322 | 1,547 | 59 | 83 | 26.220339 | 0.811454 | 0.648352 | 0 | 0 | 0 | 0 | 0.111607 | 0.053571 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72ff28fd3335697c188eb234e3558bfd46b20d35 | 12,438 | py | Python | RSICompute.py | bluefin1986/tinyspark | 0b086d3af5316062c2f3aaa7d4492341ed5c71c2 | [
"MIT"
] | 3 | 2020-04-14T14:08:11.000Z | 2021-01-27T00:36:23.000Z | RSICompute.py | bluefin1986/tinyspark | 0b086d3af5316062c2f3aaa7d4492341ed5c71c2 | [
"MIT"
] | null | null | null | RSICompute.py | bluefin1986/tinyspark | 0b086d3af5316062c2f3aaa7d4492341ed5c71c2 | [
"MIT"
] | 5 | 2020-02-15T09:54:13.000Z | 2021-08-19T17:31:57.000Z |
# coding: utf-8
# In[1]:
import baostock as bs
import pandas as pd
import numpy as np
import talib as ta
import matplotlib.pyplot as plt
import KlineService
import BaoStockUtil
import math
import datetime
from scipy import integrate
from RSI import DayRSI,WeekRSI,MonthRSI,SixtyMinRSI
from concurrent.futures import... | 34.359116 | 133 | 0.651069 | 1,325 | 12,438 | 6.008302 | 0.258113 | 0.030147 | 0.02261 | 0.031654 | 0.224846 | 0.163422 | 0.099862 | 0.099862 | 0.068082 | 0.049491 | 0 | 0.027968 | 0.226725 | 12,438 | 361 | 134 | 34.454294 | 0.79975 | 0.087474 | 0 | 0.171548 | 0 | 0 | 0.082378 | 0.004205 | 0 | 0 | 0 | 0.00277 | 0 | 1 | 0.050209 | false | 0 | 0.062762 | 0.004184 | 0.16318 | 0.033473 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
72ff4801f405ee21c99ddd54c7ec445e3fe9a25d | 1,558 | py | Python | osnoise/conf/base.py | abousselmi/OSNoise | f0e4baa51921f672179c014beb89555958c7ddca | [
"Apache-2.0"
] | 4 | 2017-11-17T13:19:32.000Z | 2020-05-29T05:10:58.000Z | osnoise/conf/base.py | abousselmi/osnoise | f0e4baa51921f672179c014beb89555958c7ddca | [
"Apache-2.0"
] | null | null | null | osnoise/conf/base.py | abousselmi/osnoise | f0e4baa51921f672179c014beb89555958c7ddca | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Orange
#
# 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, softw... | 26.40678 | 74 | 0.625802 | 200 | 1,558 | 4.79 | 0.505 | 0.06263 | 0.050104 | 0.046973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018341 | 0.265083 | 1,558 | 59 | 75 | 26.40678 | 0.818341 | 0.348524 | 0 | 0.243243 | 0 | 0 | 0.275449 | 0.027944 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.027027 | 0.027027 | 0.108108 | 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 |
72ff9b4fe0f33f7f62e39cedf2e3740b3be6be6c | 9,360 | py | Python | Cogs/HelpCommand.py | gudtldn/DiscordStockBot | d1b06e49738092ccf3c5d5a26b35fd321a3bd0f2 | [
"MIT"
] | 1 | 2022-03-12T13:43:36.000Z | 2022-03-12T13:43:36.000Z | Cogs/HelpCommand.py | gudtldn/DiscordStockBot | d1b06e49738092ccf3c5d5a26b35fd321a3bd0f2 | [
"MIT"
] | 1 | 2022-03-12T04:53:08.000Z | 2022-03-12T13:41:15.000Z | Cogs/HelpCommand.py | gudtldn/DiscordStockBot | d1b06e49738092ccf3c5d5a26b35fd321a3bd0f2 | [
"MIT"
] | null | null | null | #도움말
import discord
from discord.ext import commands
from discord.ext.commands import Context
from define import *
class HelpCommand_Context(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(name="도움말", aliases=["명령어", "?"])
@CommandExecutionTime
async def _Hel... | 52.58427 | 128 | 0.570833 | 1,171 | 9,360 | 4.487617 | 0.181042 | 0.068506 | 0.111323 | 0.145576 | 0.669648 | 0.656708 | 0.606089 | 0.532445 | 0.351855 | 0.315699 | 0 | 0.002947 | 0.274893 | 9,360 | 178 | 129 | 52.58427 | 0.771328 | 0.000321 | 0 | 0.344828 | 0 | 0 | 0.232767 | 0.024687 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013793 | false | 0 | 0.027586 | 0 | 0.151724 | 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 |
f400616765ba783e10a8ef7b8571b9c9e51facfb | 778 | py | Python | test/test_model/cprofile_test.py | SupermeLC/PyNeval | 2cccfb1af7d97857454e9cbc3515ba75e5d8d4b0 | [
"BSD-3-Clause"
] | 12 | 2020-07-18T16:55:23.000Z | 2022-03-14T12:26:08.000Z | test/test_model/cprofile_test.py | SupermeLC/PyNeval | 2cccfb1af7d97857454e9cbc3515ba75e5d8d4b0 | [
"BSD-3-Clause"
] | 5 | 2021-05-31T22:08:51.000Z | 2021-08-31T15:42:44.000Z | test/test_model/cprofile_test.py | SupermeLC/PyNeval | 2cccfb1af7d97857454e9cbc3515ba75e5d8d4b0 | [
"BSD-3-Clause"
] | 2 | 2021-09-24T03:02:27.000Z | 2021-11-09T06:21:00.000Z | import cProfile
import pstats
import os
# 性能分析装饰器定义
def do_cprofile(filename):
"""
Decorator for function profiling.
"""
def wrapper(func):
def profiled_func(*args, **kwargs):
# Flag for do profiling or not.
DO_PROF = False
if DO_PROF:
profil... | 27.785714 | 61 | 0.521851 | 76 | 778 | 5.25 | 0.513158 | 0.06015 | 0.105263 | 0.100251 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.394602 | 778 | 28 | 62 | 27.785714 | 0.847134 | 0.131105 | 0 | 0.1 | 0 | 0 | 0.010622 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.15 | 0 | 0.45 | 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 |
f40395409149c4799e946dbfb2cb47f22353b013 | 4,531 | py | Python | vega/security/run_dask.py | zjzh/vega | aa6e7b8c69024262fc483ee06113b4d1bd5156d8 | [
"Apache-2.0"
] | null | null | null | vega/security/run_dask.py | zjzh/vega | aa6e7b8c69024262fc483ee06113b4d1bd5156d8 | [
"Apache-2.0"
] | null | null | null | vega/security/run_dask.py | zjzh/vega | aa6e7b8c69024262fc483ee06113b4d1bd5156d8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (C) 2020. 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/LICENS... | 32.364286 | 110 | 0.604282 | 580 | 4,531 | 4.508621 | 0.27931 | 0.048184 | 0.042065 | 0.036711 | 0.469981 | 0.455067 | 0.416826 | 0.390057 | 0.390057 | 0.390057 | 0 | 0.016462 | 0.262635 | 4,531 | 139 | 111 | 32.597122 | 0.766238 | 0.165306 | 0 | 0.446602 | 0 | 0 | 0.286784 | 0.164794 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058252 | false | 0 | 0.097087 | 0 | 0.223301 | 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 |
f404334cff69f2f2935c67baf019e6df2ad2e301 | 12,512 | py | Python | MISSGANvsStarGAN/core/solver.py | NoaBrazilay/DeepLearningProject | 5c44d21069de1fc5fa2687c4121286670be3d773 | [
"MIT"
] | 2 | 2021-09-03T11:44:31.000Z | 2021-09-22T11:51:47.000Z | MISSGANvsStarGAN/core/solver.py | NoaBrazilay/MISSGAN | 5c44d21069de1fc5fa2687c4121286670be3d773 | [
"MIT"
] | null | null | null | MISSGANvsStarGAN/core/solver.py | NoaBrazilay/MISSGAN | 5c44d21069de1fc5fa2687c4121286670be3d773 | [
"MIT"
] | 1 | 2020-10-20T08:06:50.000Z | 2020-10-20T08:06:50.000Z | """
StarGAN v2
Copyright (c) 2020-present NAVER Corp.
This work is licensed under the Creative Commons Attribution-NonCommercial
4.0 International License. To view a copy of this license, visit
http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
Creative Commons, PO Box 1866, Mountain View, CA 94042, US... | 40.623377 | 164 | 0.629955 | 1,783 | 12,512 | 4.176108 | 0.174986 | 0.020682 | 0.007252 | 0.010878 | 0.326887 | 0.284448 | 0.22549 | 0.218775 | 0.197556 | 0.164384 | 0 | 0.016447 | 0.261349 | 12,512 | 308 | 165 | 40.623377 | 0.789223 | 0.120844 | 0 | 0.185185 | 0 | 0 | 0.029924 | 0 | 0 | 0 | 0 | 0 | 0.018519 | 1 | 0.060185 | false | 0 | 0.060185 | 0 | 0.148148 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f404f9b14c52ee5b292f41c316a483d68139b651 | 2,261 | py | Python | guessing_game.py | JoviCastillo/TH-Project-1-guessing-game- | efa5c7080b1a484b20655ddb01873dc3edefc415 | [
"BSD-2-Clause"
] | null | null | null | guessing_game.py | JoviCastillo/TH-Project-1-guessing-game- | efa5c7080b1a484b20655ddb01873dc3edefc415 | [
"BSD-2-Clause"
] | null | null | null | guessing_game.py | JoviCastillo/TH-Project-1-guessing-game- | efa5c7080b1a484b20655ddb01873dc3edefc415 | [
"BSD-2-Clause"
] | null | null | null | import random
highscore = []
def not_in_range(guess_it):
"""This is to check that the numbers inputted by the user are in range,
and will let the user know. If the numbers are in range then it passes.
"""
if guess_it < 1:
print('I am not thinking of negative numbers!')
elif guess_it > 10:... | 32.3 | 88 | 0.590889 | 313 | 2,261 | 4.15655 | 0.370607 | 0.048424 | 0.029977 | 0.043812 | 0.104535 | 0.05073 | 0.05073 | 0.05073 | 0 | 0 | 0 | 0.011643 | 0.316232 | 2,261 | 69 | 89 | 32.768116 | 0.829884 | 0.259177 | 0 | 0.208333 | 0 | 0 | 0.249538 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0.020833 | 0.020833 | 0 | 0.083333 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f407eb6974ae23f62280d5ff068afc9b35ea9eeb | 984 | py | Python | cli.py | palazzem/elmo-server | b2e02d600a431dc1db31090f0d8dd09a8d586373 | [
"BSD-3-Clause"
] | null | null | null | cli.py | palazzem/elmo-server | b2e02d600a431dc1db31090f0d8dd09a8d586373 | [
"BSD-3-Clause"
] | 8 | 2019-05-20T19:26:01.000Z | 2019-05-26T13:02:45.000Z | cli.py | palazzem/elmo-server | b2e02d600a431dc1db31090f0d8dd09a8d586373 | [
"BSD-3-Clause"
] | null | null | null | import click
APP_YAML_TEMPLATE = """runtime: python37
env_variables:
ELMO_BASE_URL: '{BASE_URL}'
ELMO_VENDOR: '{VENDOR}'
handlers:
- url: /.*
script: auto
secure: always
redirect_http_response_code: 301
"""
@click.command()
@click.argument("base_url")
@click.argument("vendor")
def generate_app_yaml(base_u... | 25.230769 | 76 | 0.704268 | 136 | 984 | 4.823529 | 0.470588 | 0.117378 | 0.068598 | 0.042683 | 0.085366 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006258 | 0.188008 | 984 | 38 | 77 | 25.894737 | 0.814768 | 0.275407 | 0 | 0 | 0 | 0 | 0.458944 | 0.041056 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.043478 | 0 | 0.086957 | 0.130435 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f408a9fe238e011fdbd51d60d3da477f1a193548 | 1,713 | py | Python | prepareDataSet.py | Dakewe-DS1000/LapRSNet | 47e630acd3f0523ee5ac698566ff45e645681b23 | [
"Apache-2.0"
] | 6 | 2019-11-14T12:12:43.000Z | 2021-07-10T13:05:14.000Z | prepareDataSet.py | Dakewe-DS1000/LapRSNet | 47e630acd3f0523ee5ac698566ff45e645681b23 | [
"Apache-2.0"
] | null | null | null | prepareDataSet.py | Dakewe-DS1000/LapRSNet | 47e630acd3f0523ee5ac698566ff45e645681b23 | [
"Apache-2.0"
] | 1 | 2021-05-18T06:41:11.000Z | 2021-05-18T06:41:11.000Z | # Prepare my dataset for Digital Pathology
import os
import math
import cv2
import pdb
rootFolder = "F:\DataBase\LymphnodePathology"
trainFolder = rootFolder + "\\trainDataSet"
testFolder = rootFolder + "\\testDataSet"
srcTrainFilePath = trainFolder + "\\20X\\"
dstTrainFilePath = trainFolder + "\\5X\\"
srcTestFileP... | 34.959184 | 124 | 0.694688 | 157 | 1,713 | 7.503185 | 0.388535 | 0.010187 | 0.010187 | 0.040747 | 0.295416 | 0.295416 | 0.232598 | 0.210526 | 0.137521 | 0.137521 | 0 | 0.01444 | 0.191477 | 1,713 | 48 | 125 | 35.6875 | 0.836101 | 0.023351 | 0 | 0.181818 | 0 | 0 | 0.104129 | 0.017953 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.121212 | 0 | 0.121212 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f40be0fa2a141ea92705b94cef65862a1f2be235 | 2,619 | py | Python | junn-predict/junn_predict/common/logging.py | modsim/junn | a40423b98c6a3739dd0b2ba02d546a5db91f9215 | [
"BSD-2-Clause"
] | null | null | null | junn-predict/junn_predict/common/logging.py | modsim/junn | a40423b98c6a3739dd0b2ba02d546a5db91f9215 | [
"BSD-2-Clause"
] | null | null | null | junn-predict/junn_predict/common/logging.py | modsim/junn | a40423b98c6a3739dd0b2ba02d546a5db91f9215 | [
"BSD-2-Clause"
] | null | null | null | """Logging helpers."""
import logging
import sys
import colorlog
import tqdm
class TqdmLoggingHandler(logging.StreamHandler):
"""TqdmLoggingHandler, outputs log messages to the console compatible with tqdm."""
def emit(self, record): # noqa: D102
message = self.format(record)
tqdm.tqdm.writ... | 25.930693 | 88 | 0.640321 | 331 | 2,619 | 4.858006 | 0.323263 | 0.033582 | 0.044776 | 0.069652 | 0.126244 | 0.070274 | 0 | 0 | 0 | 0 | 0 | 0.007179 | 0.255441 | 2,619 | 100 | 89 | 26.19 | 0.817436 | 0.233677 | 0 | 0.075472 | 0 | 0.018868 | 0.058542 | 0.013837 | 0 | 0 | 0 | 0 | 0 | 1 | 0.132075 | false | 0 | 0.075472 | 0 | 0.283019 | 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 |
f40cae84710b69af5184821f31d2608460ea3b50 | 2,284 | py | Python | subpartcode/ultrasonic_basic_code.py | LesterYHZ/Automated-Bridge-Inspection-Robot-Project | c3f4e12f9b60a8a6b041bf2b6d0461a1bb39c726 | [
"MIT"
] | 1 | 2020-04-15T01:17:06.000Z | 2020-04-15T01:17:06.000Z | subpartcode/ultrasonic_basic_code.py | LesterYHZ/Automated-Bridge-Inspection-Robot-Project | c3f4e12f9b60a8a6b041bf2b6d0461a1bb39c726 | [
"MIT"
] | null | null | null | subpartcode/ultrasonic_basic_code.py | LesterYHZ/Automated-Bridge-Inspection-Robot-Project | c3f4e12f9b60a8a6b041bf2b6d0461a1bb39c726 | [
"MIT"
] | 1 | 2020-04-13T16:45:06.000Z | 2020-04-13T16:45:06.000Z | #Basic Ultrasonic sensor (HC-SR04) code
import RPi.GPIO as GPIO #GPIO RPI library
import time # makes sure Pi waits between steps
GPIO.setmode(GPIO.BCM) #sets GPIO pin numbering
#GPIO.setmode(GPIO.BOARD)
#Remove warnings
GPIO.setwarnings(False)
#Create loop variable
#loop = 1
#BCM
TRIG = 23 #output pin - triggers t... | 26.252874 | 134 | 0.700088 | 348 | 2,284 | 4.525862 | 0.37931 | 0.038095 | 0.026667 | 0.024127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039713 | 0.206217 | 2,284 | 86 | 135 | 26.55814 | 0.829013 | 0.533275 | 0 | 0.066667 | 0 | 0 | 0.069472 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f40ff4bc5a583d0c231681fd8bba22b2aa827939 | 3,481 | py | Python | 6_refin_widgets.py | jiaxinjiang2919/Refinance-Calculator | f4bb0c536b88692ef90f504fdb2d9bed85588b7c | [
"Apache-2.0"
] | 14 | 2019-05-01T05:03:20.000Z | 2022-01-08T03:18:05.000Z | 6_refin_widgets.py | jiaxinjiang2919/Refinance-Calculator | f4bb0c536b88692ef90f504fdb2d9bed85588b7c | [
"Apache-2.0"
] | null | null | null | 6_refin_widgets.py | jiaxinjiang2919/Refinance-Calculator | f4bb0c536b88692ef90f504fdb2d9bed85588b7c | [
"Apache-2.0"
] | 8 | 2019-05-19T11:24:28.000Z | 2022-02-16T20:19:30.000Z | # -*- coding: utf-8 -*-
"""
Created on Sun Mar 24 15:02:37 2019
@author: Matt Macarty
"""
from tkinter import *
import numpy as np
class LoanCalculator:
def __init__(self):
window = Tk()
window.title("Loan Calculator")
Label(window, text="Loan Amount").grid(row=1... | 36.642105 | 118 | 0.578857 | 447 | 3,481 | 4.474273 | 0.263982 | 0.077 | 0.09 | 0.076 | 0.233 | 0.176 | 0.176 | 0.118 | 0.08 | 0 | 0 | 0.040048 | 0.275496 | 3,481 | 94 | 119 | 37.031915 | 0.752974 | 0.077851 | 0 | 0.034483 | 0 | 0 | 0.075137 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051724 | false | 0.017241 | 0.034483 | 0 | 0.103448 | 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 |
f4117b390cbdb79866a23c18436a60de53454ed6 | 19,224 | py | Python | ndctl.py | davelarsen58/pmemtool | a7acb0991cbcd683f761d4b108d018d7d2d10aeb | [
"MIT"
] | 3 | 2021-12-17T04:26:30.000Z | 2022-03-30T06:32:21.000Z | ndctl.py | davelarsen58/pmemtool | a7acb0991cbcd683f761d4b108d018d7d2d10aeb | [
"MIT"
] | 9 | 2021-12-21T17:14:58.000Z | 2022-02-12T00:45:11.000Z | ndctl.py | davelarsen58/pmemtool | a7acb0991cbcd683f761d4b108d018d7d2d10aeb | [
"MIT"
] | 1 | 2022-01-18T23:26:02.000Z | 2022-01-18T23:26:02.000Z | #!/usr/bin/python3
#
# PMTOOL NDCTL Python Module
# Copyright (C) David P Larsen
# Released under MIT License
import os
import json
from common import message, get_linenumber, pretty_print
from common import V0, V1, V2, V3, V4, V5, D0, D1, D2, D3, D4, D5
import common as c
import time
DEFAULT_FSTAB_FILE = "/etc/fsta... | 27.700288 | 120 | 0.5567 | 2,408 | 19,224 | 4.240864 | 0.126246 | 0.028202 | 0.052879 | 0.03349 | 0.649334 | 0.608598 | 0.54906 | 0.511555 | 0.493929 | 0.49011 | 0 | 0.03553 | 0.254786 | 19,224 | 693 | 121 | 27.74026 | 0.6773 | 0.2964 | 0 | 0.543544 | 0 | 0 | 0.216888 | 0.06067 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06006 | false | 0 | 0.027027 | 0 | 0.132132 | 0.108108 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f41456d2af09359f55da03d5a94e013a18221147 | 3,935 | py | Python | core/swift3.1.1Action/swift3runner.py | ianpartridge/incubator-openwhisk-runtime-swift | 5aacba1435f46b13cbb0a70874afb4b53c1a78bc | [
"Apache-2.0"
] | 2 | 2017-08-18T23:02:29.000Z | 2018-01-20T22:44:33.000Z | core/swift3.1.1Action/swift3runner.py | ianpartridge/incubator-openwhisk-runtime-swift | 5aacba1435f46b13cbb0a70874afb4b53c1a78bc | [
"Apache-2.0"
] | 4 | 2017-02-03T17:01:33.000Z | 2017-03-27T01:29:56.000Z | core/swift3.1.1Action/swift3runner.py | ianpartridge/incubator-openwhisk-runtime-swift | 5aacba1435f46b13cbb0a70874afb4b53c1a78bc | [
"Apache-2.0"
] | 4 | 2019-10-08T13:43:47.000Z | 2021-11-10T15:36:35.000Z | """Python proxy to run Swift action.
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Ve... | 34.217391 | 104 | 0.636595 | 524 | 3,935 | 4.681298 | 0.389313 | 0.028536 | 0.022829 | 0.013045 | 0.044028 | 0.019568 | 0 | 0 | 0 | 0 | 0 | 0.006928 | 0.266328 | 3,935 | 114 | 105 | 34.517544 | 0.842743 | 0.357814 | 0 | 0.061538 | 0 | 0 | 0.128737 | 0.078119 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0.015385 | 0.107692 | 0 | 0.246154 | 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 |
f416d0a9f34ba173050cd0b0ffffe6b5fee17622 | 6,006 | py | Python | yandex_market_language/models/promo.py | stefanitsky/yandex_market_language | e17595b556fc55e183cf366227b2739c5c6178dc | [
"MIT"
] | 7 | 2020-03-28T22:35:52.000Z | 2021-09-16T10:50:10.000Z | yandex_market_language/models/promo.py | stefanitsky/yandex_market_language | e17595b556fc55e183cf366227b2739c5c6178dc | [
"MIT"
] | 192 | 2020-03-29T12:38:53.000Z | 2021-09-01T14:12:07.000Z | yandex_market_language/models/promo.py | stefanitsky/yandex_market_language | e17595b556fc55e183cf366227b2739c5c6178dc | [
"MIT"
] | 6 | 2020-06-05T09:07:02.000Z | 2021-11-28T14:37:58.000Z | import typing as t
from yandex_market_language import models
from yandex_market_language.models.abstract import XMLElement, XMLSubElement
class Promo(models.AbstractModel):
"""
Docs: https://yandex.ru/support/partnermarket/elements/promo-gift.html
"""
MAPPING = {
"start-date": "start_date",
... | 27.934884 | 78 | 0.580087 | 693 | 6,006 | 4.784993 | 0.108225 | 0.046442 | 0.033173 | 0.033776 | 0.354946 | 0.27503 | 0.252714 | 0.240953 | 0.202352 | 0.183655 | 0 | 0.000239 | 0.304529 | 6,006 | 214 | 79 | 28.065421 | 0.793632 | 0.059441 | 0 | 0.178344 | 0 | 0 | 0.085827 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101911 | false | 0 | 0.019108 | 0.038217 | 0.254777 | 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 |
f4173149ff496f494a4326e1f0ac4dc7014b0225 | 3,834 | py | Python | src/testCmd.py | skogsbaer/check-assignments | cda8208c10644eecfe0bb988bee61098485aa6c4 | [
"BSD-3-Clause"
] | null | null | null | src/testCmd.py | skogsbaer/check-assignments | cda8208c10644eecfe0bb988bee61098485aa6c4 | [
"BSD-3-Clause"
] | null | null | null | src/testCmd.py | skogsbaer/check-assignments | cda8208c10644eecfe0bb988bee61098485aa6c4 | [
"BSD-3-Clause"
] | 1 | 2021-03-26T14:00:14.000Z | 2021-03-26T14:00:14.000Z | import shell
from dataclasses import dataclass
from utils import *
from ownLogging import *
from typing import *
from ansi import *
import re
import os
import testHaskell
import testPython
import testJava
@dataclass
class TestArgs:
dirs: List[str]
assignments: List[str] # take all if empty
interactive: boo... | 30.919355 | 103 | 0.594158 | 429 | 3,834 | 5.275058 | 0.30303 | 0.034026 | 0.067609 | 0.03977 | 0.144057 | 0.107821 | 0.052143 | 0.052143 | 0 | 0 | 0 | 0.000751 | 0.305164 | 3,834 | 123 | 104 | 31.170732 | 0.848724 | 0.004434 | 0 | 0.140351 | 0 | 0 | 0.133159 | 0.006291 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061404 | false | 0 | 0.096491 | 0 | 0.236842 | 0.096491 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f4189a148892e47a3efe2ef760b39a4a07630dfd | 14,098 | py | Python | kipoi_containers/singularityhelper.py | kipoi/kipoi-containers | 5978cf1563dcc1072170f28a0a956cc28aa3c406 | [
"MIT"
] | null | null | null | kipoi_containers/singularityhelper.py | kipoi/kipoi-containers | 5978cf1563dcc1072170f28a0a956cc28aa3c406 | [
"MIT"
] | 11 | 2021-11-30T19:30:50.000Z | 2022-03-29T17:06:15.000Z | kipoi_containers/singularityhelper.py | kipoi/kipoi-containers | 5978cf1563dcc1072170f28a0a956cc28aa3c406 | [
"MIT"
] | null | null | null | from collections import Counter
from datetime import datetime
import os
import requests
from subprocess import Popen, PIPE
from pathlib import Path
import json
from typing import Dict, Union, TYPE_CHECKING
from kipoi_utils.external.torchvision.dataset_utils import download_url
if TYPE_CHECKING:
import zenodoclien... | 36.148718 | 109 | 0.62633 | 1,589 | 14,098 | 5.319698 | 0.155444 | 0.117355 | 0.072874 | 0.024843 | 0.57175 | 0.535195 | 0.469301 | 0.415829 | 0.338578 | 0.316574 | 0 | 0.003498 | 0.269967 | 14,098 | 389 | 110 | 36.241645 | 0.81782 | 0.152007 | 0 | 0.453968 | 0 | 0.003175 | 0.251758 | 0.098805 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034921 | false | 0.003175 | 0.031746 | 0 | 0.095238 | 0.019048 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f418aa86180868641545c7ca6a350482c74458ed | 1,152 | py | Python | policy/_cache.py | garenchan/policy | fbd056c0474e62252d1fe986fe029cacde6845d8 | [
"Apache-2.0"
] | 5 | 2018-10-17T21:06:07.000Z | 2021-12-31T01:33:09.000Z | policy/_cache.py | garenchan/policy | fbd056c0474e62252d1fe986fe029cacde6845d8 | [
"Apache-2.0"
] | 1 | 2018-09-07T09:00:41.000Z | 2018-09-07T11:06:14.000Z | policy/_cache.py | garenchan/policy | fbd056c0474e62252d1fe986fe029cacde6845d8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
policy._cache
~~~~~~~~~~~~~~~
Cache for policy file.
"""
import os
import logging
LOG = logging.getLogger(__name__)
# Global file cache
CACHE = {}
def read_file(filename: str, force_reload=False):
"""Read a file if it has been modified.
:param filename: File name ... | 21.735849 | 76 | 0.631944 | 150 | 1,152 | 4.713333 | 0.46 | 0.076379 | 0.067893 | 0.067893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002326 | 0.253472 | 1,152 | 52 | 77 | 22.153846 | 0.819767 | 0.327257 | 0 | 0 | 0 | 0 | 0.058577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0.045455 | 0.090909 | 0 | 0.227273 | 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 |
f419167b819e5ee174fbe6b84ca88ef1f496b659 | 10,858 | py | Python | contrib/opencensus-ext-django/opencensus/ext/django/middleware.py | samn/opencensus-python | d8709f141b67f7f5ba011c440b8ba8fb9cbc419a | [
"Apache-2.0"
] | null | null | null | contrib/opencensus-ext-django/opencensus/ext/django/middleware.py | samn/opencensus-python | d8709f141b67f7f5ba011c440b8ba8fb9cbc419a | [
"Apache-2.0"
] | null | null | null | contrib/opencensus-ext-django/opencensus/ext/django/middleware.py | samn/opencensus-python | d8709f141b67f7f5ba011c440b8ba8fb9cbc419a | [
"Apache-2.0"
] | null | null | null | # Copyright 2017, OpenCensus Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 36.682432 | 79 | 0.667618 | 1,254 | 10,858 | 5.454545 | 0.191388 | 0.041813 | 0.034795 | 0.018275 | 0.351462 | 0.264035 | 0.200585 | 0.182749 | 0.125292 | 0.11155 | 0 | 0.001995 | 0.261374 | 10,858 | 295 | 80 | 36.80678 | 0.850873 | 0.193314 | 0 | 0.237838 | 0 | 0 | 0.075052 | 0.025367 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059459 | false | 0 | 0.059459 | 0.005405 | 0.189189 | 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 |
f419f2c87349548809cd06192323167246871ccd | 1,322 | py | Python | codeblockCar/codingPage/tests.py | ICT2x01-p2-4/ICT2x01-p2-4 | 6249c0a807354b33db80f367344fe14cb5512840 | [
"MIT"
] | null | null | null | codeblockCar/codingPage/tests.py | ICT2x01-p2-4/ICT2x01-p2-4 | 6249c0a807354b33db80f367344fe14cb5512840 | [
"MIT"
] | 24 | 2021-09-29T02:46:17.000Z | 2021-11-06T13:32:11.000Z | codeblockCar/codingPage/tests.py | ICT2x01-p2-4/Codeblock-car | 6249c0a807354b33db80f367344fe14cb5512840 | [
"MIT"
] | null | null | null | from typing import Reversible
from django.test import TestCase, Client
from challenge.models import Challenge
from codingPage.models import Command, Log
from django.core.exceptions import ValidationError
from django.urls import reverse
class CodingPageTest(TestCase):
def setUp(self) -> None:
self.client = ... | 38.882353 | 113 | 0.630862 | 162 | 1,322 | 5.080247 | 0.481481 | 0.019441 | 0.025516 | 0.029162 | 0.09113 | 0.010936 | 0.010936 | 0.010936 | 0 | 0 | 0 | 0.024267 | 0.251891 | 1,322 | 33 | 114 | 40.060606 | 0.807887 | 0.088502 | 0 | 0 | 0 | 0 | 0.100503 | 0.017588 | 0 | 0 | 0 | 0 | 0.071429 | 1 | 0.107143 | false | 0 | 0.214286 | 0 | 0.392857 | 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 |
f41b63806a18c6ea9b6ee2484bb3111d3bc16034 | 33,899 | py | Python | app/main/views/templates.py | cds-snc/notification-admin | d4056798bf889ad29893667bbb67ead2f8e466e4 | [
"MIT"
] | 16 | 2019-11-05T21:35:49.000Z | 2022-01-12T15:00:32.000Z | app/main/views/templates.py | cds-snc/notification-admin | d4056798bf889ad29893667bbb67ead2f8e466e4 | [
"MIT"
] | 509 | 2019-07-11T22:03:19.000Z | 2022-03-30T15:19:26.000Z | app/main/views/templates.py | cds-snc/notification-admin | d4056798bf889ad29893667bbb67ead2f8e466e4 | [
"MIT"
] | 8 | 2020-02-21T20:19:29.000Z | 2022-03-31T14:17:02.000Z | from datetime import datetime, timedelta
from string import ascii_uppercase
from dateutil.parser import parse
from flask import abort, flash, jsonify, redirect, render_template, request, url_for
from flask_babel import _
from flask_babel import lazy_gettext as _l
from flask_login import current_user
from markupsafe im... | 36.927015 | 127 | 0.661081 | 3,925 | 33,899 | 5.355159 | 0.094522 | 0.056948 | 0.041867 | 0.038822 | 0.586565 | 0.514915 | 0.438127 | 0.400447 | 0.349018 | 0.28498 | 0 | 0.004404 | 0.236467 | 33,899 | 917 | 128 | 36.967285 | 0.807673 | 0.002625 | 0 | 0.397419 | 0 | 0.00129 | 0.187032 | 0.088325 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04129 | false | 0.00129 | 0.024516 | 0.006452 | 0.138065 | 0.002581 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f41c237f71cc3272ed38dd3e63b60d183d0e2aa0 | 7,999 | py | Python | linearRegression_gradientDescent/linearRegression_gradientDescent.py | MarcelloVendruscolo/DeepLearningForImageAnalysis | 0f57d63510d0f7b2729d214b3729a21a663794b5 | [
"MIT"
] | null | null | null | linearRegression_gradientDescent/linearRegression_gradientDescent.py | MarcelloVendruscolo/DeepLearningForImageAnalysis | 0f57d63510d0f7b2729d214b3729a21a663794b5 | [
"MIT"
] | null | null | null | linearRegression_gradientDescent/linearRegression_gradientDescent.py | MarcelloVendruscolo/DeepLearningForImageAnalysis | 0f57d63510d0f7b2729d214b3729a21a663794b5 | [
"MIT"
] | null | null | null | import numpy as np
from load_auto import load_auto
import matplotlib.pyplot as plt
import math
def initialize_parameters(observation_dimension):
# observation_dimension: number of features taken into consideration of the input
# returns weights as a vector and offset as a scalar
weights = np.zeros((observa... | 48.478788 | 169 | 0.739717 | 1,042 | 7,999 | 5.446257 | 0.154511 | 0.061322 | 0.044405 | 0.022203 | 0.515066 | 0.456564 | 0.411806 | 0.332863 | 0.30185 | 0.227313 | 0 | 0.015704 | 0.156145 | 7,999 | 165 | 170 | 48.478788 | 0.825037 | 0.3998 | 0 | 0.202247 | 0 | 0 | 0.059444 | 0.026138 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101124 | false | 0 | 0.044944 | 0.011236 | 0.247191 | 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 |
f41df8a9a5f75d57ee4443306eca56bc32c0d2b4 | 3,426 | py | Python | unit_tests/test_hr_calculations.py | mdholbrook/heart_rate_sentinel_server | 927b59ad6d2078bd6e3491014fdebbc610d25e63 | [
"MIT"
] | null | null | null | unit_tests/test_hr_calculations.py | mdholbrook/heart_rate_sentinel_server | 927b59ad6d2078bd6e3491014fdebbc610d25e63 | [
"MIT"
] | null | null | null | unit_tests/test_hr_calculations.py | mdholbrook/heart_rate_sentinel_server | 927b59ad6d2078bd6e3491014fdebbc610d25e63 | [
"MIT"
] | null | null | null | import pytest
from functions.hr_calculations import *
@pytest.mark.parametrize("candidate, database, expected", [
('jack', [{'patient_id': 'jump'}, {'patient_id': 'jack'}], 1),
('jungle', [{'patient_id': 'jungle'}, {'patient_id': 'jack'}], 0),
('bo', [{'patient_id': 'james'}, {'patient_id': 'boo'},
... | 32.018692 | 78 | 0.600117 | 507 | 3,426 | 3.923077 | 0.191322 | 0.058824 | 0.044243 | 0.055304 | 0.663147 | 0.566114 | 0.450478 | 0.343891 | 0.278532 | 0.278532 | 0 | 0.180065 | 0.197607 | 3,426 | 106 | 79 | 32.320755 | 0.54347 | 0.037361 | 0 | 0.225352 | 0 | 0 | 0.282847 | 0 | 0 | 0 | 0 | 0 | 0.112676 | 1 | 0.112676 | false | 0 | 0.028169 | 0 | 0.140845 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f41e1e3571049d96370122828fa85b57484158ca | 2,492 | py | Python | selfdrive/boardd/tests/test_boardd_api.py | 919bot/Tessa | 9b48ff9020e8fb6992fc78271f2720fd19e01093 | [
"MIT"
] | 114 | 2020-02-24T14:18:01.000Z | 2022-03-19T03:42:00.000Z | selfdrive/boardd/tests/test_boardd_api.py | 919bot/Tessa | 9b48ff9020e8fb6992fc78271f2720fd19e01093 | [
"MIT"
] | 15 | 2020-02-25T03:37:44.000Z | 2021-09-08T01:51:15.000Z | selfdrive/boardd/tests/test_boardd_api.py | 919bot/Tessa | 9b48ff9020e8fb6992fc78271f2720fd19e01093 | [
"MIT"
] | 73 | 2018-12-03T19:34:42.000Z | 2020-07-27T05:10:23.000Z | import random
import numpy as np
import selfdrive.boardd.tests.boardd_old as boardd_old
import selfdrive.boardd.boardd as boardd
from common.realtime import sec_since_boot
from cereal import log
import unittest
def generate_random_can_data_list():
can_list = []
cnt = random.randint(1, 64)
for j in range(cnt):... | 31.948718 | 104 | 0.668539 | 378 | 2,492 | 4.142857 | 0.203704 | 0.07599 | 0.034483 | 0.045977 | 0.57599 | 0.501277 | 0.415709 | 0.415709 | 0.392082 | 0.392082 | 0 | 0.017051 | 0.199839 | 2,492 | 77 | 105 | 32.363636 | 0.768305 | 0.062199 | 0 | 0.296296 | 0 | 0 | 0.037355 | 0 | 0 | 0 | 0 | 0 | 0.12963 | 1 | 0.055556 | false | 0 | 0.12963 | 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 |
f41f9b1b5316c6d5a7a52a8e3e8227d25b183272 | 2,037 | py | Python | py_types/static/parse.py | zekna/py-types | ec39da1277986f0ea44830dfb0da9d906deb13e1 | [
"MIT"
] | 5 | 2015-06-18T20:04:56.000Z | 2016-03-15T15:32:44.000Z | py_types/static/parse.py | sarlianna/py-types | ec39da1277986f0ea44830dfb0da9d906deb13e1 | [
"MIT"
] | 1 | 2016-01-19T01:39:54.000Z | 2016-01-27T19:17:31.000Z | py_types/static/parse.py | zekna/py-types | ec39da1277986f0ea44830dfb0da9d906deb13e1 | [
"MIT"
] | null | null | null | import ast
import inspect
import sys
import argparse
from ..runtime.asserts import typecheck
@typecheck
def pretty_print_defs(defs: list) -> None:
for d in defs:
print("Function definition for {}".format(d["name"]))
print("Arguments:")
for arg in d["args"]:
arg_type = "untyped... | 29.955882 | 122 | 0.587138 | 242 | 2,037 | 4.772727 | 0.409091 | 0.034632 | 0.025974 | 0.039827 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002837 | 0.307806 | 2,037 | 67 | 123 | 30.402985 | 0.816312 | 0.135002 | 0 | 0.061224 | 0 | 0 | 0.091168 | 0.014815 | 0 | 0 | 0 | 0 | 0.020408 | 1 | 0.081633 | false | 0.020408 | 0.102041 | 0 | 0.244898 | 0.163265 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |