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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c6934a03c692a0936dbdefc83d05a9252b05f1c4 | 6,795 | py | Python | files/area.py | joaovpassos/USP-Programs | 09ddb8aed238df1f1a2e80afdc202ac4538daf41 | [
"MIT"
] | 2 | 2021-05-26T19:14:16.000Z | 2021-05-27T21:14:24.000Z | files/area.py | joaovpassos/USP-Programs | 09ddb8aed238df1f1a2e80afdc202ac4538daf41 | [
"MIT"
] | null | null | null | files/area.py | joaovpassos/USP-Programs | 09ddb8aed238df1f1a2e80afdc202ac4538daf41 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#------------------------------------------------------------------
# Constantes que você pode utilizar nesse exercício
# Em notação científica 1.0e-6 é o o mesmo qoe 0.000001 (10 elevado a -6)
EPSILON = 1.0e-6
#------------------------------------------------------------------
# O import abai... | 31.901408 | 98 | 0.512288 | 990 | 6,795 | 3.449495 | 0.206061 | 0.015227 | 0.025769 | 0.019034 | 0.296047 | 0.283455 | 0.246266 | 0.185066 | 0.120059 | 0.106589 | 0 | 0.053119 | 0.26858 | 6,795 | 212 | 99 | 32.051887 | 0.634004 | 0.60574 | 0 | 0.202703 | 0 | 0.013514 | 0.252511 | 0.011416 | 0 | 0 | 0 | 0.009434 | 0 | 1 | 0.094595 | false | 0 | 0.013514 | 0 | 0.22973 | 0.216216 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c693df3548964a87b3411b88e56a453a7a597f59 | 4,421 | py | Python | gribmagic/unity/download/engine.py | earthobservations/gribmagic | 59c647d3ca3ecaf2d720837ba0cec9cc2aa2546e | [
"MIT"
] | 9 | 2020-12-18T13:26:45.000Z | 2022-03-03T16:46:33.000Z | gribmagic/unity/download/engine.py | earthobservations/gribmagic | 59c647d3ca3ecaf2d720837ba0cec9cc2aa2546e | [
"MIT"
] | 12 | 2020-12-19T18:32:51.000Z | 2021-10-30T17:48:35.000Z | gribmagic/unity/download/engine.py | earthobservations/gribmagic | 59c647d3ca3ecaf2d720837ba0cec9cc2aa2546e | [
"MIT"
] | 2 | 2020-12-19T08:02:03.000Z | 2021-10-30T16:01:02.000Z | """
Handle download of NWP data from remote servers.
"""
import logging
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from typing import Dict, List
import requests
from gribmagic.unity.configuration.constants import (
KEY_COMPRESSION,
KEY_LOCAL_FILE_PATHS,
KEY_REMOTE_FILE_PATH... | 27.459627 | 97 | 0.680615 | 509 | 4,421 | 5.607073 | 0.259332 | 0.050456 | 0.034338 | 0.035739 | 0.357043 | 0.29117 | 0.29117 | 0.269096 | 0.269096 | 0.201121 | 0 | 0.000899 | 0.24542 | 4,421 | 160 | 98 | 27.63125 | 0.854616 | 0.163538 | 0 | 0.340426 | 0 | 0 | 0.042254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.106383 | 0 | 0.234043 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c696cbe9a74a6a3f3db61104f5e94acb0ded96e3 | 2,195 | py | Python | tests/main.py | Antojitos/guacamole | 50b4da41a45b2b4dd4f63f6c6cc68bfcf8563152 | [
"MIT"
] | 3 | 2015-10-30T13:09:13.000Z | 2021-02-17T19:12:37.000Z | tests/main.py | amessinger/guacamole | 50b4da41a45b2b4dd4f63f6c6cc68bfcf8563152 | [
"MIT"
] | 5 | 2015-10-30T12:53:05.000Z | 2015-12-14T15:20:04.000Z | tests/main.py | Antojitos/guacamole | 50b4da41a45b2b4dd4f63f6c6cc68bfcf8563152 | [
"MIT"
] | 1 | 2015-10-28T08:44:48.000Z | 2015-10-28T08:44:48.000Z | import sys
import os
import shutil
import filecmp
import json
import unittest
# Path hack. http://stackoverflow.com/questions/6323860/sibling-package-imports
sys.path.insert(0, os.path.abspath('../guacamole'))
import guacamole
class GuacamoleTestCase(unittest.TestCase):
def setUp(self):
guacamole.app.con... | 32.279412 | 89 | 0.626424 | 260 | 2,195 | 5.057692 | 0.292308 | 0.118631 | 0.158175 | 0.060837 | 0.48365 | 0.469962 | 0.469962 | 0.469962 | 0.469962 | 0.469962 | 0 | 0.008589 | 0.257403 | 2,195 | 68 | 90 | 32.279412 | 0.79816 | 0.058314 | 0 | 0.408163 | 0 | 0 | 0.097715 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.081633 | false | 0.020408 | 0.142857 | 0 | 0.244898 | 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 |
c697934e43005813bbf25f5936b378004c77b6ac | 324 | py | Python | settings.py | musahibrahimali/flasket-api | d212cb84817dee90e9a53015b2811468a4db75ff | [
"MIT"
] | 7 | 2018-02-23T17:41:04.000Z | 2022-03-09T12:20:56.000Z | settings.py | musahibrahimali/flasket-api | d212cb84817dee90e9a53015b2811468a4db75ff | [
"MIT"
] | null | null | null | settings.py | musahibrahimali/flasket-api | d212cb84817dee90e9a53015b2811468a4db75ff | [
"MIT"
] | 1 | 2021-06-02T17:23:45.000Z | 2021-06-02T17:23:45.000Z | # Flask settings
FLASK_DEBUG = True # Do not use debug mode in production
# SQLAlchemy settings
SQLALCHEMY_DATABASE_URI = 'sqlite:///db.sqlite'
SQLALCHEMY_TRACK_MODIFICATIONS = True
# Flask-Restplus settings
SWAGGER_UI_DOC_EXPANSION = 'list'
RESTPLUS_VALIDATE = True
RESTPLUS_MASK_SWAGGER = False
ERROR_404_HELP = Fa... | 23.142857 | 57 | 0.805556 | 43 | 324 | 5.767442 | 0.674419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010638 | 0.12963 | 324 | 13 | 58 | 24.923077 | 0.868794 | 0.290123 | 0 | 0 | 0 | 0 | 0.102222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
c69d613e92541912c5d1aa1169340677fbcf4a96 | 5,437 | py | Python | mlops/parallelm/mlops/ml_metrics_stat/ml_stat_object_creator.py | mlpiper/mlpiper | 0fd2b6773f970c831038db47bf4920ada21a5f51 | [
"Apache-2.0"
] | 7 | 2019-04-08T02:31:55.000Z | 2021-11-15T14:40:49.000Z | mlops/parallelm/mlops/ml_metrics_stat/ml_stat_object_creator.py | mlpiper/mlpiper | 0fd2b6773f970c831038db47bf4920ada21a5f51 | [
"Apache-2.0"
] | 31 | 2019-02-22T22:23:26.000Z | 2021-08-02T17:17:06.000Z | mlops/parallelm/mlops/ml_metrics_stat/ml_stat_object_creator.py | mlpiper/mlpiper | 0fd2b6773f970c831038db47bf4920ada21a5f51 | [
"Apache-2.0"
] | 8 | 2019-03-15T23:46:08.000Z | 2020-02-06T09:16:02.000Z | import numpy as np
from parallelm.mlops.mlops_exception import MLOpsStatisticsException
from parallelm.mlops.stats.graph import Graph
from parallelm.mlops.stats.multi_line_graph import MultiLineGraph
from parallelm.mlops.stats.single_value import SingleValue
from parallelm.mlops.stats.table import Table
from parallelm... | 41.823077 | 161 | 0.609343 | 659 | 5,437 | 4.878604 | 0.194234 | 0.041058 | 0.033593 | 0.03577 | 0.18196 | 0.168896 | 0.153966 | 0.129393 | 0.093935 | 0.055365 | 0 | 0.0056 | 0.310281 | 5,437 | 129 | 162 | 42.147287 | 0.851733 | 0.227699 | 0 | 0.291139 | 0 | 0 | 0.109068 | 0 | 0 | 0 | 0 | 0 | 0.025316 | 1 | 0.050633 | false | 0 | 0.088608 | 0 | 0.202532 | 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 |
c69fe4b03acf538832512321d83a32c7f8cc326f | 480 | py | Python | awsflow/lambdas/demo.py | algorithmia-algorithms/awsflow | 927698c27e57377dbe8094c71d5b0c36548b0937 | [
"MIT"
] | 12 | 2019-04-06T14:59:29.000Z | 2020-04-14T21:02:23.000Z | awsflow/lambdas/demo.py | vaquarkhan/awsflow | 59f9001972aec2bac60a97d174b97f96689360ce | [
"MIT"
] | null | null | null | awsflow/lambdas/demo.py | vaquarkhan/awsflow | 59f9001972aec2bac60a97d174b97f96689360ce | [
"MIT"
] | 3 | 2019-07-30T17:11:14.000Z | 2020-02-17T20:39:25.000Z | from awsflow.tools.emr import logging
from awsflow.version import __version__
def hello_world(event, context):
"""
Test function, does nothing
:param event: AWS lambdas function event
:param context: AWS lambdas function context
:return:
"""
message = 'event={} context={}'.format(event, c... | 25.263158 | 62 | 0.666667 | 53 | 480 | 5.867925 | 0.471698 | 0.115756 | 0.115756 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.220833 | 480 | 18 | 63 | 26.666667 | 0.831551 | 0.254167 | 0 | 0 | 0 | 0 | 0.212121 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.444444 | 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 |
c6a0b2e6f13cc83e001ace2dc43eeb51890ba31f | 1,074 | py | Python | weather/tools.py | yulinliu101/DeepTP | bc4f9adad6dda6c32e58026dda7863e0cb2a6072 | [
"MIT"
] | 46 | 2018-09-23T02:08:02.000Z | 2022-03-19T15:56:15.000Z | weather/tools.py | yulinliu101/DeepTP | bc4f9adad6dda6c32e58026dda7863e0cb2a6072 | [
"MIT"
] | 6 | 2018-12-02T09:04:56.000Z | 2021-09-30T12:14:53.000Z | weather/tools.py | yulinliu101/DeepTP | bc4f9adad6dda6c32e58026dda7863e0cb2a6072 | [
"MIT"
] | 27 | 2018-11-19T18:17:07.000Z | 2021-08-28T17:07:11.000Z | '''
Module's author : Jarry Gabriel
Date : June, July 2016
Some Algorithms was made by : Malivai Luce, Helene Piquet
This module handle different tools
'''
from pyproj import Proj, Geod
import numpy as np
# Projections
wgs84=Proj("+init=EPSG:4326")
epsg3857=Proj("+init=EPSG:3857")
g=Geod(ellps='WGS84')
... | 25.571429 | 58 | 0.57635 | 151 | 1,074 | 4.099338 | 0.556291 | 0.038772 | 0.038772 | 0.048465 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075227 | 0.282123 | 1,074 | 42 | 59 | 25.571429 | 0.727626 | 0.58473 | 0 | 0 | 0 | 0 | 0.091623 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 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 |
c6a0ccd39f3cb516016d54f1a50913914e43bf5d | 1,315 | py | Python | src/database/report.py | moevm/nosql1h19-report-stats | ab1dc80858df2d8b44489dc7ca900371b1fcc80f | [
"MIT"
] | null | null | null | src/database/report.py | moevm/nosql1h19-report-stats | ab1dc80858df2d8b44489dc7ca900371b1fcc80f | [
"MIT"
] | null | null | null | src/database/report.py | moevm/nosql1h19-report-stats | ab1dc80858df2d8b44489dc7ca900371b1fcc80f | [
"MIT"
] | null | null | null | from docx import Document
class Report:
def __init__(self, docx_text, meta, text_processor):
self.document = Document(docx_text)
self.date = self.document.core_properties.modified
self.title = meta['title']
self.author = meta['author']
self.group = int(meta['group']... | 32.073171 | 75 | 0.579468 | 143 | 1,315 | 5.195804 | 0.321678 | 0.043069 | 0.048452 | 0.048452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.298859 | 1,315 | 40 | 76 | 32.875 | 0.805857 | 0.034221 | 0 | 0 | 0 | 0 | 0.102605 | 0 | 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 |
c6a371ecbe5a163fba368a97852b226ecc2b76c6 | 19,724 | py | Python | transmission/PFM_v24.py | zarppy/MUREIL_2014 | 25ba16554ce8f614b9337e0fffce75da3fa259a4 | [
"MIT"
] | null | null | null | transmission/PFM_v24.py | zarppy/MUREIL_2014 | 25ba16554ce8f614b9337e0fffce75da3fa259a4 | [
"MIT"
] | null | null | null | transmission/PFM_v24.py | zarppy/MUREIL_2014 | 25ba16554ce8f614b9337e0fffce75da3fa259a4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
#
# Copyright (C) University of Melbourne 2012
#
#
#
#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 us... | 45.657407 | 97 | 0.523575 | 2,400 | 19,724 | 4.143333 | 0.195417 | 0.035197 | 0.041633 | 0.044248 | 0.29998 | 0.238737 | 0.199718 | 0.177997 | 0.162912 | 0.150845 | 0 | 0.03386 | 0.374113 | 19,724 | 432 | 98 | 45.657407 | 0.771648 | 0.311042 | 0 | 0.251121 | 0 | 0 | 0.037636 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026906 | false | 0 | 0.017937 | 0 | 0.058296 | 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 |
c6a5691106c675b51a0898624e8d7f4af7a6316d | 11,893 | py | Python | ecl/tests/unit/compute/v2/test_server.py | keiichi-hikita/eclsdk | c43afb982fd54eb1875cdc22d46044644d804c4a | [
"Apache-2.0"
] | 5 | 2017-04-07T06:23:04.000Z | 2019-11-19T00:52:34.000Z | ecl/tests/unit/compute/v2/test_server.py | keiichi-hikita/eclsdk | c43afb982fd54eb1875cdc22d46044644d804c4a | [
"Apache-2.0"
] | 16 | 2018-09-12T11:14:40.000Z | 2021-04-19T09:02:44.000Z | ecl/tests/unit/compute/v2/test_server.py | keiichi-hikita/eclsdk | c43afb982fd54eb1875cdc22d46044644d804c4a | [
"Apache-2.0"
] | 14 | 2017-05-11T14:26:26.000Z | 2021-07-14T14:00:06.000Z | # 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, software
# distributed under t... | 38.739414 | 79 | 0.600858 | 1,320 | 11,893 | 5.287121 | 0.201515 | 0.090271 | 0.107179 | 0.038114 | 0.550939 | 0.486603 | 0.449205 | 0.417682 | 0.354635 | 0.332712 | 0 | 0.020192 | 0.254604 | 11,893 | 306 | 80 | 38.866013 | 0.767061 | 0.054822 | 0 | 0.326531 | 0 | 0 | 0.190345 | 0.06716 | 0 | 0 | 0 | 0 | 0.314286 | 1 | 0.065306 | false | 0.040816 | 0.012245 | 0 | 0.081633 | 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 |
c6a5791901b1fc6361134fdaba0ad7eda0768c85 | 1,577 | py | Python | packages/diana/diana/connect/utils/orth_fiq.py | derekmerck/diana-star | 78aa7badb27677a1f5c83d744852f659e2541567 | [
"MIT"
] | null | null | null | packages/diana/diana/connect/utils/orth_fiq.py | derekmerck/diana-star | 78aa7badb27677a1f5c83d744852f659e2541567 | [
"MIT"
] | null | null | null | packages/diana/diana/connect/utils/orth_fiq.py | derekmerck/diana-star | 78aa7badb27677a1f5c83d744852f659e2541567 | [
"MIT"
] | null | null | null | # import logging
# from pprint import pformat
from diana.utils.dicom import DicomLevel
def find_item_query(item):
"""
Have some information about the dixel, want to find the STUID, SERUID, INSTUID
Returns a _list_ of dictionaries with matches, retrieves any if "retrieve" flag
"""
q = {}
keys ... | 30.326923 | 83 | 0.521877 | 141 | 1,577 | 5.794326 | 0.539007 | 0.068543 | 0.046512 | 0.046512 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.375396 | 1,577 | 52 | 84 | 30.326923 | 0.829442 | 0.195308 | 0 | 0 | 0 | 0 | 0.212851 | 0.024096 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.033333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6acd732e85ef3e6872505baf917d917ef7c0ec1 | 8,045 | py | Python | nisse/routes/slack/command_handlers/report_command_handler.py | nexocodecom/nisse.io | 58a64072bc8dad87fbb1f54dabc93fd2d4cff6eb | [
"MIT"
] | null | null | null | nisse/routes/slack/command_handlers/report_command_handler.py | nexocodecom/nisse.io | 58a64072bc8dad87fbb1f54dabc93fd2d4cff6eb | [
"MIT"
] | 42 | 2018-07-20T14:15:48.000Z | 2019-09-26T05:44:21.000Z | nisse/routes/slack/command_handlers/report_command_handler.py | nexocodecom/nisse.io | 58a64072bc8dad87fbb1f54dabc93fd2d4cff6eb | [
"MIT"
] | null | null | null | import logging
import os
import uuid
from typing import List
from flask import current_app
from flask.config import Config
from flask_injector import inject
from slackclient import SlackClient
from werkzeug.utils import secure_filename
from nisse.models.DTO import PrintParametersDto
from nisse.models.slack.common imp... | 43.252688 | 121 | 0.640895 | 920 | 8,045 | 5.344565 | 0.208696 | 0.029286 | 0.022778 | 0.020338 | 0.179784 | 0.157006 | 0.10901 | 0.10901 | 0.090706 | 0.06508 | 0 | 0.001377 | 0.277688 | 8,045 | 185 | 122 | 43.486486 | 0.844777 | 0.018645 | 0 | 0.014085 | 0 | 0 | 0.058056 | 0 | 0 | 0 | 0 | 0.005405 | 0 | 1 | 0.028169 | false | 0 | 0.176056 | 0 | 0.225352 | 0.091549 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6acd7e0d4951d5c3034a6f821df7b9a82c0e2f9 | 369 | py | Python | days/day01/part1.py | jaredbancroft/aoc2021 | 4eaf339cc0c8566da2af13f7cb9cf6fe87355aac | [
"MIT"
] | null | null | null | days/day01/part1.py | jaredbancroft/aoc2021 | 4eaf339cc0c8566da2af13f7cb9cf6fe87355aac | [
"MIT"
] | null | null | null | days/day01/part1.py | jaredbancroft/aoc2021 | 4eaf339cc0c8566da2af13f7cb9cf6fe87355aac | [
"MIT"
] | null | null | null | from helpers import inputs
def solution(day):
depths = inputs.read_to_list(f"inputs/{day}.txt")
part1_total = 0
for index, depth in enumerate(depths):
if index - 1 >= 0:
diff = int(depth) - int(depths[index - 1])
if diff > 0:
part1_total += 1
return f"Da... | 28.384615 | 63 | 0.588076 | 53 | 369 | 4 | 0.54717 | 0.141509 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046693 | 0.303523 | 369 | 12 | 64 | 30.75 | 0.77821 | 0 | 0 | 0 | 0 | 0 | 0.176152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6b79f701bcc0df19eeeaf217d68d4ce14a63d1a | 251 | py | Python | bot.py | White-ZacK/HLavalink | 917a2a5abf3df2b2fbdff93709b9eb9e47c033aa | [
"MIT"
] | null | null | null | bot.py | White-ZacK/HLavalink | 917a2a5abf3df2b2fbdff93709b9eb9e47c033aa | [
"MIT"
] | null | null | null | bot.py | White-ZacK/HLavalink | 917a2a5abf3df2b2fbdff93709b9eb9e47c033aa | [
"MIT"
] | null | null | null | import discord
import os
from discord.ext import commands
bot = commands.Bot(command_prefix=">")
TOKEN = os.environ.get('TOKEN')
@bot.event
async def on_ready():
print(f'{bot.user} has logged in.')
bot.load_extension('cogs.WVL')
bot.run(TOKEN)
| 17.928571 | 38 | 0.7251 | 40 | 251 | 4.475 | 0.7 | 0.122905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123506 | 251 | 13 | 39 | 19.307692 | 0.813636 | 0 | 0 | 0 | 0 | 0 | 0.155378 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.3 | 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 |
c6badd66c9c53436c0cfcf31174d258e7727a76d | 795 | py | Python | test.py | Roulbac/GanSeg | 78f354da5d724b93ead3ac6c2b15ae18d3ac0aea | [
"MIT"
] | 20 | 2019-04-13T07:07:49.000Z | 2022-02-23T03:10:40.000Z | test.py | Roulbac/GanSeg | 78f354da5d724b93ead3ac6c2b15ae18d3ac0aea | [
"MIT"
] | null | null | null | test.py | Roulbac/GanSeg | 78f354da5d724b93ead3ac6c2b15ae18d3ac0aea | [
"MIT"
] | 4 | 2019-04-13T13:50:39.000Z | 2020-11-08T03:50:54.000Z | from options.test_parser import TestParser
from models import create_model, get_model_parsing_modifier
from datasets import create_dataset, get_dataset_parsing_modifier
parser = TestParser()
model_name = parser.get_model_name()
dataset_name = parser.get_dataset_name()
print('Model name: {}'.format(model_name))
print(... | 27.413793 | 68 | 0.820126 | 112 | 795 | 5.4375 | 0.267857 | 0.073892 | 0.049261 | 0.075534 | 0.10509 | 0.10509 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08805 | 795 | 28 | 69 | 28.392857 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0.037736 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.157895 | 0 | 0.157895 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6bbf866443aff7a6fcd220b4ae5ee2ac61f6a5c | 353 | py | Python | 2018-12-31.py | shangpf1/python_study | 6730519ce7b5cf4612e1c778ae5876cfbb748a4f | [
"MIT"
] | null | null | null | 2018-12-31.py | shangpf1/python_study | 6730519ce7b5cf4612e1c778ae5876cfbb748a4f | [
"MIT"
] | null | null | null | 2018-12-31.py | shangpf1/python_study | 6730519ce7b5cf4612e1c778ae5876cfbb748a4f | [
"MIT"
] | null | null | null | # 浏览器最大化窗口、截屏
from selenium import webdriver
from os import path
driver = webdriver.Chrome()
d = path.dirname('__file__')
index = path.join(d,'index.png')
driver.get("https://www.baidu.com/")
# 最大化窗口
driver.maximize_window()
# 截屏
driver.save_screenshot(index)
# 后退操作
driver.back()
# 前进操作
driver.forward()
# 刷新操... | 12.172414 | 36 | 0.716714 | 49 | 353 | 5.040816 | 0.673469 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130312 | 353 | 29 | 37 | 12.172414 | 0.80456 | 0.09915 | 0 | 0 | 0 | 0 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6bcdd4e1b6e9560584746d256ad5769eed1114e | 4,016 | py | Python | flask_webapi/exceptions.py | viniciuschiele/flask-webapi | 4901c0b78fc61b8db18c211c5858b84901d0f4ab | [
"MIT"
] | null | null | null | flask_webapi/exceptions.py | viniciuschiele/flask-webapi | 4901c0b78fc61b8db18c211c5858b84901d0f4ab | [
"MIT"
] | null | null | null | flask_webapi/exceptions.py | viniciuschiele/flask-webapi | 4901c0b78fc61b8db18c211c5858b84901d0f4ab | [
"MIT"
] | null | null | null | """
Handles exceptions raised by Flask WebAPI.
"""
from . import status
class APIException(Exception):
"""
Base class for Flask WebAPI exceptions.
Subclasses should provide `.status_code` and `.default_message` properties.
:param str message: The actual message.
:param kwargs: The extra attribute... | 30.656489 | 108 | 0.586404 | 435 | 4,016 | 5.204598 | 0.206897 | 0.055654 | 0.04947 | 0.037102 | 0.157244 | 0.091873 | 0.05742 | 0.05742 | 0 | 0 | 0 | 0.003336 | 0.328187 | 4,016 | 130 | 109 | 30.892308 | 0.835804 | 0.140189 | 0 | 0.25641 | 0 | 0 | 0.028563 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0 | 0.012821 | 0.038462 | 0.269231 | 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 |
c6bec2b7b19f2adc7fd34bc6ce05b27edb1743ba | 5,133 | py | Python | plugins/module_utils/fortiwebcloud/request.py | fortinet/fortiwebcloud-ansible | 4a6a2b139b88d6428494ca87d570a0a09988b15d | [
"MIT"
] | 5 | 2021-01-09T23:09:22.000Z | 2022-01-22T12:34:25.000Z | plugins/module_utils/fortiwebcloud/request.py | fortinet/fortiwebcloud-ansible | 4a6a2b139b88d6428494ca87d570a0a09988b15d | [
"MIT"
] | 2 | 2021-01-19T03:46:53.000Z | 2021-06-28T15:19:24.000Z | plugins/module_utils/fortiwebcloud/request.py | fortinet/fortiwebcloud-ansible | 4a6a2b139b88d6428494ca87d570a0a09988b15d | [
"MIT"
] | 2 | 2021-09-17T11:13:31.000Z | 2021-11-30T10:53:49.000Z | #!/usr/bin/python
# This code is part of Ansible, but is an independent component.
# This particular file snippet, and this file snippet only, is BSD licensed.
# Modules you write using this snippet, which is embedded dynamically by Ansible
# still belong to the author of the module, and may assign their own license
#... | 36.664286 | 116 | 0.643678 | 673 | 5,133 | 4.861813 | 0.355126 | 0.017115 | 0.017115 | 0.022005 | 0.174817 | 0.146699 | 0.146699 | 0.122249 | 0.122249 | 0.122249 | 0 | 0.001576 | 0.258523 | 5,133 | 139 | 117 | 36.928058 | 0.858119 | 0.336645 | 0 | 0.144578 | 0 | 0 | 0.086186 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.120482 | false | 0 | 0.120482 | 0.012048 | 0.337349 | 0.036145 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6bf070a0e1401995e4a06960552d64f43d04d96 | 497 | py | Python | tests/test_account.py | thangduong/lendingclub2 | b16552807b69b81804369fd1a9058fa8f89ce1ef | [
"MIT"
] | null | null | null | tests/test_account.py | thangduong/lendingclub2 | b16552807b69b81804369fd1a9058fa8f89ce1ef | [
"MIT"
] | null | null | null | tests/test_account.py | thangduong/lendingclub2 | b16552807b69b81804369fd1a9058fa8f89ce1ef | [
"MIT"
] | null | null | null | # Filename: test_account.py
"""
Test the lendingclub2.accountmodule
"""
# PyTest
import pytest
# lendingclub2
from lendingclub2.account import InvestorAccount
from lendingclub2.error import LCError
class TestInvestorAccount:
def test_properties(self):
try:
investor = InvestorAccount()
... | 20.708333 | 62 | 0.702213 | 53 | 497 | 6.509434 | 0.584906 | 0.092754 | 0.052174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020779 | 0.225352 | 497 | 23 | 63 | 21.608696 | 0.875325 | 0.16499 | 0 | 0 | 0 | 0 | 0.08642 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.090909 | false | 0 | 0.272727 | 0 | 0.454545 | 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 |
c6c3cf7f18578ef4fee0cf3ceb347dcb151e1993 | 3,827 | py | Python | Lib/corpuscrawler/crawl_pl.py | cash/corpuscrawler | 8913fe1fb2b6bfdfbf2ba01d2ce88057b3b5ba3d | [
"Apache-2.0"
] | 95 | 2019-06-13T23:34:21.000Z | 2022-03-12T05:22:49.000Z | Lib/corpuscrawler/crawl_pl.py | sahwar/corpuscrawler | 8913fe1fb2b6bfdfbf2ba01d2ce88057b3b5ba3d | [
"Apache-2.0"
] | 31 | 2019-06-02T18:56:53.000Z | 2021-08-10T20:16:02.000Z | Lib/corpuscrawler/crawl_pl.py | sahwar/corpuscrawler | 8913fe1fb2b6bfdfbf2ba01d2ce88057b3b5ba3d | [
"Apache-2.0"
] | 35 | 2019-06-18T08:26:24.000Z | 2022-01-11T13:59:40.000Z | # coding: utf-8
# Copyright 2017 Google Inc. 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 ap... | 40.284211 | 92 | 0.629736 | 488 | 3,827 | 4.844262 | 0.420082 | 0.025381 | 0.029611 | 0.027919 | 0.07445 | 0.055838 | 0.031303 | 0 | 0 | 0 | 0 | 0.0088 | 0.257643 | 3,827 | 94 | 93 | 40.712766 | 0.823302 | 0.197805 | 0 | 0.166667 | 0 | 0 | 0.154703 | 0.046542 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.041667 | 0 | 0.152778 | 0.013889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6c507d5077fa7072a210afdf6ced8586dc0a30d | 2,775 | py | Python | typewise_alert.py | clean-code-craft-tcq-1/add-variety-python-AkshayUHegde | 924beb7195d960d3fe06460da9df1a42c5d5693f | [
"MIT"
] | null | null | null | typewise_alert.py | clean-code-craft-tcq-1/add-variety-python-AkshayUHegde | 924beb7195d960d3fe06460da9df1a42c5d5693f | [
"MIT"
] | null | null | null | typewise_alert.py | clean-code-craft-tcq-1/add-variety-python-AkshayUHegde | 924beb7195d960d3fe06460da9df1a42c5d5693f | [
"MIT"
] | null | null | null |
class TypewiseAlert:
def __init__(self, limits_for_types=None, alert_target_funcs=None):
self.default_limits_for_cooling_types = {
"PASSIVE_COOLING": (0, 35),
"MED_ACTIVE_COOLING": (0, 40),
"HI_ACTIVE_COOLING": (0, 45),
}
self.default_alert_funcs = {
... | 45.491803 | 101 | 0.627027 | 311 | 2,775 | 5.215434 | 0.250804 | 0.055487 | 0.043157 | 0.033292 | 0.350801 | 0.350801 | 0.192355 | 0.090012 | 0.090012 | 0.090012 | 0 | 0.006058 | 0.286126 | 2,775 | 60 | 102 | 46.25 | 0.812721 | 0 | 0 | 0.037037 | 0 | 0 | 0.241168 | 0.060923 | 0 | 0 | 0.002163 | 0 | 0 | 1 | 0.111111 | false | 0.018519 | 0 | 0 | 0.259259 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6c9aa4e57c89e6f69fa55d265d499cc88ae995f | 1,519 | py | Python | 4_factory/factory_method/dependent_pizza_store.py | hypersport/Head-First-Design-Patterns-Python | 0c8b831ae89ebbbef8b203b96508deb7e3063590 | [
"MIT"
] | null | null | null | 4_factory/factory_method/dependent_pizza_store.py | hypersport/Head-First-Design-Patterns-Python | 0c8b831ae89ebbbef8b203b96508deb7e3063590 | [
"MIT"
] | null | null | null | 4_factory/factory_method/dependent_pizza_store.py | hypersport/Head-First-Design-Patterns-Python | 0c8b831ae89ebbbef8b203b96508deb7e3063590 | [
"MIT"
] | null | null | null | from chicago_style_clam_pizza import ChicagoStyleClamPizza
from chicago_style_cheese_pizza import ChicagoStyleCheesePizza
from chicago_style_pepperoni_pizza import ChicagoStylePepperoniPizza
from chicago_style_veggie_pizza import ChicagoStyleVeggiePizza
from ny_style_clam_pizza import NYStyleClamPizza
from ny_style_che... | 35.325581 | 68 | 0.631336 | 146 | 1,519 | 6.39726 | 0.267123 | 0.125268 | 0.068522 | 0.042827 | 0.169165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.293614 | 1,519 | 42 | 69 | 36.166667 | 0.870457 | 0 | 0 | 0.216216 | 0 | 0 | 0.057275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.216216 | 0 | 0.351351 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6cac8b3c9901ec09333ce8b40056a0c6f21d27c | 459 | py | Python | tests/performance/cte-arm/tests/rf_mnist.py | alexbarcelo/dislib | 989f81f235ae30b17410a8d805df258c7d931b38 | [
"Apache-2.0"
] | 36 | 2018-10-22T19:21:14.000Z | 2022-03-22T12:10:01.000Z | tests/performance/cte-arm/tests/rf_mnist.py | alexbarcelo/dislib | 989f81f235ae30b17410a8d805df258c7d931b38 | [
"Apache-2.0"
] | 329 | 2018-11-22T18:04:57.000Z | 2022-03-18T01:26:55.000Z | tests/performance/cte-arm/tests/rf_mnist.py | alexbarcelo/dislib | 989f81f235ae30b17410a8d805df258c7d931b38 | [
"Apache-2.0"
] | 21 | 2019-01-10T11:46:39.000Z | 2022-03-17T12:59:45.000Z | import performance
import dislib as ds
from dislib.classification import RandomForestClassifier
def main():
x_mn, y_mn = ds.load_svmlight_file(
"/fefs/scratch/bsc19/bsc19029/PERFORMANCE/datasets/train.scaled",
block_size=(5000, 780), n_features=780, store_sparse=False)
rf = RandomForestClas... | 24.157895 | 73 | 0.723312 | 61 | 459 | 5.131148 | 0.704918 | 0.019169 | 0.025559 | 0.038339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 0.16122 | 459 | 18 | 74 | 25.5 | 0.758442 | 0 | 0 | 0 | 0 | 0 | 0.167756 | 0.135076 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6d0b39109db93442e531726d432358337458672 | 2,275 | py | Python | pwn/shellcode/misc/exit.py | Haabb/pwnfork | c2530ea2fd2f9d4e65df234afeb8f7def93afe49 | [
"MIT"
] | 1 | 2016-08-29T03:38:42.000Z | 2016-08-29T03:38:42.000Z | pwn/shellcode/misc/exit.py | Haabb/pwnfork | c2530ea2fd2f9d4e65df234afeb8f7def93afe49 | [
"MIT"
] | null | null | null | pwn/shellcode/misc/exit.py | Haabb/pwnfork | c2530ea2fd2f9d4e65df234afeb8f7def93afe49 | [
"MIT"
] | null | null | null | from pwn.internal.shellcode_helper import *
from ..misc.pushstr import pushstr
@shellcode_reqs(arch=['i386', 'amd64'], os=['linux', 'freebsd'])
def exit(returncode = None, arch = None, os = None):
"""Exits. Default return code, None, means "I don't care"."""
returncode = arg_fixup(returncode)
if arch == ... | 29.545455 | 78 | 0.465934 | 243 | 2,275 | 4.296296 | 0.288066 | 0.033525 | 0.052682 | 0.06705 | 0.270115 | 0.253831 | 0.226054 | 0.126437 | 0.126437 | 0.126437 | 0 | 0.02874 | 0.403516 | 2,275 | 76 | 79 | 29.934211 | 0.740604 | 0.024176 | 0 | 0.461538 | 0 | 0 | 0.31346 | 0 | 0 | 0 | 0.007227 | 0 | 0 | 1 | 0.046154 | false | 0 | 0.030769 | 0 | 0.184615 | 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 |
c6d4b9bc3a7c3d3b66374d69e6147ebd024b69ea | 14,117 | py | Python | effect_tools.py | rsjones94/hurricane_analysis | b619526dcf40ea83e9ae3ba92f3a1d28fce25776 | [
"MIT"
] | null | null | null | effect_tools.py | rsjones94/hurricane_analysis | b619526dcf40ea83e9ae3ba92f3a1d28fce25776 | [
"MIT"
] | null | null | null | effect_tools.py | rsjones94/hurricane_analysis | b619526dcf40ea83e9ae3ba92f3a1d28fce25776 | [
"MIT"
] | null | null | null | import os
import shutil
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from read import clean_read
from detrend import *
def get_effect(data, param, mean, stddev, start_index, lag=3, effect_type=1,
returning_gap=0, dropthrough=(0, 0), forcing=(None, None),
max_e... | 32.602771 | 120 | 0.551463 | 1,887 | 14,117 | 4.034446 | 0.18071 | 0.010508 | 0.01261 | 0.016551 | 0.18232 | 0.099698 | 0.055432 | 0.008932 | 0.008932 | 0 | 0 | 0.023942 | 0.352058 | 14,117 | 432 | 121 | 32.678241 | 0.808352 | 0.353262 | 0 | 0.348039 | 0 | 0 | 0.027075 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0.014706 | 0.034314 | 0.014706 | 0.122549 | 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 |
c6d6b79b9b74cb519b433548531f1d028f0803ab | 871 | py | Python | warningshot.py | DeadpoolPancakes/nerf-sentry | 0f9cccd78e66f4020f1960871fd35c328a697086 | [
"MIT"
] | null | null | null | warningshot.py | DeadpoolPancakes/nerf-sentry | 0f9cccd78e66f4020f1960871fd35c328a697086 | [
"MIT"
] | null | null | null | warningshot.py | DeadpoolPancakes/nerf-sentry | 0f9cccd78e66f4020f1960871fd35c328a697086 | [
"MIT"
] | null | null | null | import RPi.GPIO as GPIO
from time import sleep
GPIO.setmode(GPIO.BCM)
Motor1Enable = 5
Motor1B = 24
Motor1A = 27
Motor2Enable = 17
Motor2B = 6
Motor2A = 22
#single shot script used as a warning shot
# Set up defined GPIO pins
GPIO.setup(Motor1A,GPIO.OUT)
GPIO.setup(Motor1B,GPIO.OUT)
GPIO.setup(Motor1Enable,GPIO.OUT)... | 21.243902 | 45 | 0.771527 | 143 | 871 | 4.699301 | 0.384615 | 0.119048 | 0.081845 | 0.119048 | 0.098214 | 0.098214 | 0 | 0 | 0 | 0 | 0 | 0.044213 | 0.117107 | 871 | 41 | 46 | 21.243902 | 0.829649 | 0.234214 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 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 |
c6d814a8e68b9da379529a21009897f7697124d2 | 1,979 | py | Python | ampadb_index/parse_md.py | ampafdv/ampadb | 25c804a5cb21afcbe4e222a3b48cca27ff2d9e19 | [
"MIT"
] | null | null | null | ampadb_index/parse_md.py | ampafdv/ampadb | 25c804a5cb21afcbe4e222a3b48cca27ff2d9e19 | [
"MIT"
] | 28 | 2016-10-21T16:04:56.000Z | 2018-11-10T20:55:40.000Z | ampadb_index/parse_md.py | ampafdv/ampadb | 25c804a5cb21afcbe4e222a3b48cca27ff2d9e19 | [
"MIT"
] | 2 | 2016-10-22T19:24:45.000Z | 2017-02-11T10:49:02.000Z | import html
import markdown
import bleach
import lxml.html
from lxml.html import builder as E
TAGS = [
'p', 'img', 'em', 'strong', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'ol', 'ul',
'li', 'br', 'hr', 'a', 'img', 'blockquote', 'b', 'i', 'u', 's', 'pre',
'code', 'table', 'thead', 'tr', 'th', 'tbody', 'td'
]
AT... | 29.984848 | 79 | 0.560889 | 254 | 1,979 | 4.279528 | 0.468504 | 0.036799 | 0.033119 | 0.027599 | 0.073597 | 0.044158 | 0.044158 | 0 | 0 | 0 | 0 | 0.008242 | 0.264275 | 1,979 | 65 | 80 | 30.446154 | 0.738324 | 0.060131 | 0 | 0.089286 | 0 | 0 | 0.153556 | 0.01347 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.089286 | 0.017857 | 0.178571 | 0.017857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6d82fc284eef62f6b254b22655051352ba00a72 | 532 | py | Python | src/server_3D/API/Rice/factoryTypes/hybridShapeFactoryMeth/addNewLinePtPt.py | robertpardillo/Funnel | f45e419f55e085bbb95e17c47b4c94a7c625ba9b | [
"MIT"
] | 1 | 2021-05-18T16:10:49.000Z | 2021-05-18T16:10:49.000Z | src/server_3D/API/Rice/factoryTypes/hybridShapeFactoryMeth/addNewLinePtPt.py | robertpardillo/Funnel | f45e419f55e085bbb95e17c47b4c94a7c625ba9b | [
"MIT"
] | null | null | null | src/server_3D/API/Rice/factoryTypes/hybridShapeFactoryMeth/addNewLinePtPt.py | robertpardillo/Funnel | f45e419f55e085bbb95e17c47b4c94a7c625ba9b | [
"MIT"
] | null | null | null |
from ...abstractObjects.hybridShapes.line import LinePtPt
def AddNewLinePtPt(self, geometrical_set, start, end):
part = geometrical_set.parentsDict['Part']
reference1 = part._createReferenceFromObject(start)
reference2 = part._createReferenceFromObject(end)
cat_constructor = self.cat_construc... | 40.923077 | 82 | 0.781955 | 52 | 532 | 7.788462 | 0.423077 | 0.17284 | 0.123457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008734 | 0.139098 | 532 | 13 | 83 | 40.923077 | 0.875546 | 0 | 0 | 0 | 0 | 0 | 0.007692 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 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 |
c6d9810ee3519ae415fa0512f84807c328a50106 | 1,223 | py | Python | Lab Activity 6.py | Jeralph-Red/OOP-58001 | 4e38f9a0a58098a121a61e640a53e9568bf529b0 | [
"Apache-2.0"
] | null | null | null | Lab Activity 6.py | Jeralph-Red/OOP-58001 | 4e38f9a0a58098a121a61e640a53e9568bf529b0 | [
"Apache-2.0"
] | null | null | null | Lab Activity 6.py | Jeralph-Red/OOP-58001 | 4e38f9a0a58098a121a61e640a53e9568bf529b0 | [
"Apache-2.0"
] | null | null | null | from tkinter import *
class SemGrade:
def __init__(self, win):
self.lbl1=Label(win, text='Prelim:')
self.lbl2=Label(win, text='Midterm:')
self.lbl3=Label(win, text='Final:')
self.lbl4=Label(win, text='Semestral Grade:')
self.t1=Entry(bd=3)
self.t2=Entry(bd=3... | 31.358974 | 88 | 0.567457 | 186 | 1,223 | 3.709677 | 0.349462 | 0.078261 | 0.069565 | 0.069565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101883 | 0.261652 | 1,223 | 39 | 89 | 31.358974 | 0.662237 | 0 | 0 | 0 | 0 | 0 | 0.091906 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.029412 | 0 | 0.117647 | 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 |
c6da86aae41063146c3bc7bd5c1f243c9c0368e2 | 1,853 | py | Python | parse_wfd.py | ajsimon1/Cazar | 6831dbdb63764ad2159eaad45fe2b6cfc7edd553 | [
"MIT"
] | null | null | null | parse_wfd.py | ajsimon1/Cazar | 6831dbdb63764ad2159eaad45fe2b6cfc7edd553 | [
"MIT"
] | null | null | null | parse_wfd.py | ajsimon1/Cazar | 6831dbdb63764ad2159eaad45fe2b6cfc7edd553 | [
"MIT"
] | null | null | null | import os
import sys
import pandas as pd
from xml.etree import ElementTree as et
cwd = os.getcwd()
filepath = 'C:\\Users\\asimon\\Desktop\\Practice-' \
'Training\\p21_template_out3.xml'
def parse_wfd_xml(filepath):
tree = et.parse(filepath)
root = tree.getroot()
data, page = root.findall('.//... | 39.425532 | 75 | 0.447922 | 188 | 1,853 | 4.228723 | 0.414894 | 0.050314 | 0.033962 | 0.047799 | 0.138365 | 0.100629 | 0.055346 | 0 | 0 | 0 | 0 | 0.003745 | 0.423637 | 1,853 | 46 | 76 | 40.282609 | 0.740637 | 0.035618 | 0 | 0.05 | 0 | 0 | 0.156951 | 0.075112 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0.025 | 0.1 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6dbe3048a8498d4b259596610f445fd78aa7173 | 17,022 | py | Python | p20191120_wada.py | tmseegoslo/wada | 1f0163ccc0e0815ae7586291712f8920b00cf7ba | [
"Apache-2.0"
] | null | null | null | p20191120_wada.py | tmseegoslo/wada | 1f0163ccc0e0815ae7586291712f8920b00cf7ba | [
"Apache-2.0"
] | null | null | null | p20191120_wada.py | tmseegoslo/wada | 1f0163ccc0e0815ae7586291712f8920b00cf7ba | [
"Apache-2.0"
] | null | null | null | #MNE tutorial
#Import modules
import os
import numpy as np
import mne
import re
import complexity_entropy as ce
#Import specific smodules for filtering
from numpy.fft import fft, fftfreq
from scipy import signal
from mne.time_frequency.tfr import morlet
from mne.viz import plot_filter, plot_ideal_filter
... | 39.311778 | 124 | 0.584714 | 2,508 | 17,022 | 3.870415 | 0.183014 | 0.006387 | 0.030906 | 0.027815 | 0.56722 | 0.529 | 0.498506 | 0.490265 | 0.464201 | 0.450088 | 0 | 0.057893 | 0.179062 | 17,022 | 432 | 125 | 39.402778 | 0.636754 | 0.440783 | 0 | 0.308511 | 0 | 0 | 0.120981 | 0.00568 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005319 | false | 0 | 0.053191 | 0.005319 | 0.06383 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6dc529d66bad976f5633ed5b6e53c5c1922f83f | 1,790 | py | Python | classifiers.py | mavroudisv/Mahalanobis-Classifier | 9029b2d84215afd02d8ccdbe3be7ea875b83deb6 | [
"MIT"
] | 1 | 2021-01-12T19:12:06.000Z | 2021-01-12T19:12:06.000Z | classifiers.py | mavroudisv/Mahalanobis-Classifier | 9029b2d84215afd02d8ccdbe3be7ea875b83deb6 | [
"MIT"
] | null | null | null | classifiers.py | mavroudisv/Mahalanobis-Classifier | 9029b2d84215afd02d8ccdbe3be7ea875b83deb6 | [
"MIT"
] | null | null | null | import numpy as np
import scipy as sp
class MahalanobisClassifier():
def __init__(self, samples, labels):
self.clusters={}
for lbl in np.unique(labels):
self.clusters[lbl] = samples.loc[labels == lbl, :]
def mahalanobis(self, x, data, cov=None):
"""Compute the Mahalanobis D... | 37.291667 | 118 | 0.6 | 242 | 1,790 | 4.301653 | 0.371901 | 0.04611 | 0.023055 | 0.03074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006426 | 0.304469 | 1,790 | 47 | 119 | 38.085106 | 0.829719 | 0.205028 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151515 | false | 0 | 0.060606 | 0.030303 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6dcf725bd23764de094f21a2a52e9e26e955427 | 1,982 | py | Python | augmentation/postprocessor.py | abamaxa/docvision_generator | 8017f29c7d908cb80ddcd59e345a222271fa74de | [
"MIT"
] | 2 | 2020-02-06T17:30:41.000Z | 2020-08-04T10:35:46.000Z | augmentation/postprocessor.py | abamaxa/docvision_generator | 8017f29c7d908cb80ddcd59e345a222271fa74de | [
"MIT"
] | null | null | null | augmentation/postprocessor.py | abamaxa/docvision_generator | 8017f29c7d908cb80ddcd59e345a222271fa74de | [
"MIT"
] | null | null | null | import os
import shutil
import json
import time
import cv2
import numpy as np
import PIL
def convert_image_to_numpy(image) :
(im_width, im_height) = image.size
image_np = np.fromstring(image.tobytes(), dtype='uint8', count=-1, sep='')
array_shape = (im_height, im_width, int(image_np.shape[0] / (im_height... | 29.58209 | 88 | 0.639758 | 285 | 1,982 | 4.214035 | 0.301754 | 0.039967 | 0.054122 | 0.03164 | 0.079933 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028834 | 0.230071 | 1,982 | 67 | 89 | 29.58209 | 0.758191 | 0.032795 | 0 | 0 | 0 | 0 | 0.022965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.14 | 0 | 0.32 | 0.02 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6e4a42a16095039958ecdd10b4a917bcf6aef59 | 581 | py | Python | resources/samd21flash.py | dotchetter/W.O.O.B.S | 6055020f21c462940e9477192c831d8ad0b2669e | [
"MIT"
] | null | null | null | resources/samd21flash.py | dotchetter/W.O.O.B.S | 6055020f21c462940e9477192c831d8ad0b2669e | [
"MIT"
] | 13 | 2020-11-10T12:29:46.000Z | 2020-11-20T00:04:02.000Z | resources/samd21flash.py | dotchetter/W.O.O.B.S | 6055020f21c462940e9477192c831d8ad0b2669e | [
"MIT"
] | null | null | null | import os
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-port")
parser.add_argument("-programmer")
parser.add_argument("-binary")
args = parser.parse_args()
port_norm = args.port
port_bootloader = f"{port_norm[0:3]}{int(port_norm[-1])+1... | 32.277778 | 95 | 0.666093 | 85 | 581 | 4.341176 | 0.529412 | 0.086721 | 0.138211 | 0.065041 | 0.070461 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028747 | 0.16179 | 581 | 18 | 95 | 32.277778 | 0.728953 | 0 | 0 | 0 | 0 | 0.071429 | 0.448454 | 0.118557 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 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 |
c6e60e06fca1a3189ef7b894a20c3b5c14557fda | 41,045 | py | Python | test/ontic_type_test.py | neoinsanity/ontic | 2b313fb9fc45faf550791a797624c9997386c343 | [
"Apache-2.0"
] | 2 | 2017-11-06T12:01:20.000Z | 2021-03-01T23:52:41.000Z | test/ontic_type_test.py | neoinsanity/ontic | 2b313fb9fc45faf550791a797624c9997386c343 | [
"Apache-2.0"
] | 1 | 2016-12-02T04:04:03.000Z | 2016-12-02T04:04:03.000Z | test/ontic_type_test.py | neoinsanity/ontic | 2b313fb9fc45faf550791a797624c9997386c343 | [
"Apache-2.0"
] | 2 | 2015-06-26T22:24:57.000Z | 2016-12-01T02:15:36.000Z | """Test the basic functionality of the base and core data types."""
from datetime import date, time, datetime
from typing import NoReturn
from ontic import OnticType
from ontic import property
from ontic import type as o_type
from ontic.meta import Meta
from ontic.property import OnticProperty
from ontic.schema import... | 37.111212 | 122 | 0.599903 | 4,600 | 41,045 | 5.07413 | 0.061087 | 0.105565 | 0.066278 | 0.056167 | 0.710852 | 0.610814 | 0.527612 | 0.468575 | 0.405938 | 0.363866 | 0 | 0.016642 | 0.289974 | 41,045 | 1,105 | 123 | 37.144796 | 0.784271 | 0.093361 | 0 | 0.506971 | 0 | 0.001267 | 0.132499 | 0.004105 | 0 | 0 | 0 | 0 | 0.144487 | 1 | 0.043093 | false | 0 | 0.012674 | 0 | 0.070976 | 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 |
c6e972384085a17d4254d8b48954d37e8355bbe9 | 5,503 | py | Python | api/telegram.py | ongzhixian/python-apps | 11a0d0ce656a7e9d7bdff18dd29feaa2bb436ae6 | [
"MIT"
] | null | null | null | api/telegram.py | ongzhixian/python-apps | 11a0d0ce656a7e9d7bdff18dd29feaa2bb436ae6 | [
"MIT"
] | null | null | null | api/telegram.py | ongzhixian/python-apps | 11a0d0ce656a7e9d7bdff18dd29feaa2bb436ae6 | [
"MIT"
] | null | null | null | import json
import logging
import os
import pdb
import re
from helpers.app_helpers import *
from helpers.page_helpers import *
from helpers.jinja2_helpers import *
from helpers.telegram_helpers import *
#from main import *
#from flask import request
#####################################################################... | 35.050955 | 123 | 0.623296 | 701 | 5,503 | 4.649073 | 0.196862 | 0.084382 | 0.030071 | 0.03498 | 0.474992 | 0.372814 | 0.342436 | 0.294569 | 0.271863 | 0.217858 | 0 | 0.006757 | 0.193167 | 5,503 | 156 | 124 | 35.275641 | 0.727252 | 0.180992 | 0 | 0.163265 | 0 | 0 | 0.184268 | 0.069762 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.091837 | 0 | 0.265306 | 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 |
c6eb3b19d050576ce9764d0276a806ecdcc82b5f | 2,456 | py | Python | experiments/bayesopt/run_direct_surrogate.py | lebrice/RoBO | 0cb58a1622d3a540f7714b239f0cedf048b6fd9f | [
"BSD-3-Clause"
] | 455 | 2015-04-02T06:12:13.000Z | 2022-02-28T10:54:29.000Z | experiments/bayesopt/run_direct_surrogate.py | lebrice/RoBO | 0cb58a1622d3a540f7714b239f0cedf048b6fd9f | [
"BSD-3-Clause"
] | 66 | 2015-04-07T15:20:55.000Z | 2021-06-04T16:40:46.000Z | experiments/bayesopt/run_direct_surrogate.py | lebrice/RoBO | 0cb58a1622d3a540f7714b239f0cedf048b6fd9f | [
"BSD-3-Clause"
] | 188 | 2015-04-14T09:42:34.000Z | 2022-03-31T21:04:53.000Z | import os
import sys
import DIRECT
import json
import numpy as np
from hpolib.benchmarks.ml.surrogate_svm import SurrogateSVM
from hpolib.benchmarks.ml.surrogate_cnn import SurrogateCNN
from hpolib.benchmarks.ml.surrogate_fcnet import SurrogateFCNet
run_id = int(sys.argv[1])
benchmark = sys.argv[2]
n_iters = 50
n_i... | 24.078431 | 74 | 0.678339 | 360 | 2,456 | 4.466667 | 0.363889 | 0.018657 | 0.024876 | 0.041045 | 0.148632 | 0.090796 | 0.090796 | 0.06592 | 0.06592 | 0 | 0 | 0.006484 | 0.183632 | 2,456 | 101 | 75 | 24.316832 | 0.795511 | 0.077362 | 0 | 0 | 0 | 0 | 0.14153 | 0.069881 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013699 | false | 0 | 0.109589 | 0 | 0.136986 | 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 |
c6eb612c8a8c4eac0f2f977fa8c04f601c65f1a7 | 1,197 | py | Python | calls/delete_call_feedback_summary.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | 1 | 2018-11-23T20:11:27.000Z | 2018-11-23T20:11:27.000Z | calls/delete_call_feedback_summary.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | null | null | null | calls/delete_call_feedback_summary.py | mickstevens/python3-twilio-sdkv6-examples | aac0403533b35fec4e8483de18d8fde2d783cfb2 | [
"MIT"
] | null | null | null | # *** Delete Call Feedback Summary ***
# Code based on https://www.twilio.com/docs/voice/api/call-quality-feedback
# Download Python 3 from https://www.python.org/downloads/
# Download the Twilio helper library from https://www.twilio.com/docs/python/install
import os
from twilio.rest import Client
# from datetime impo... | 44.333333 | 114 | 0.734336 | 157 | 1,197 | 5.528662 | 0.56051 | 0.046083 | 0.043779 | 0.039171 | 0.048387 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023928 | 0.162072 | 1,197 | 26 | 115 | 46.038462 | 0.841476 | 0.53467 | 0 | 0 | 0 | 0 | 0.311355 | 0.173993 | 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 |
c6f1e3f027d95fbea317bf8aa4166e874befc948 | 5,693 | py | Python | controllers/transactions_controller.py | JeremyCodeClan/spentrack_project | 455074446b5b335ea77933c80c43745fcad1171c | [
"MIT"
] | null | null | null | controllers/transactions_controller.py | JeremyCodeClan/spentrack_project | 455074446b5b335ea77933c80c43745fcad1171c | [
"MIT"
] | null | null | null | controllers/transactions_controller.py | JeremyCodeClan/spentrack_project | 455074446b5b335ea77933c80c43745fcad1171c | [
"MIT"
] | null | null | null | from flask import Blueprint, Flask, render_template, request, redirect
from models.transaction import Transaction
import repositories.transaction_repository as transaction_repo
import repositories.merchant_repository as merchant_repo
import repositories.tag_repository as tag_repo
transactions_blueprint = Blueprint("t... | 40.664286 | 129 | 0.657298 | 607 | 5,693 | 5.90939 | 0.093904 | 0.104544 | 0.075272 | 0.069696 | 0.577084 | 0.55729 | 0.509897 | 0.460831 | 0.460831 | 0.460831 | 0 | 0.007223 | 0.246092 | 5,693 | 140 | 130 | 40.664286 | 0.828518 | 0 | 0 | 0.351563 | 0 | 0 | 0.113102 | 0.043379 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054688 | false | 0 | 0.039063 | 0 | 0.195313 | 0.070313 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6f1fc0edc1a1464fe8ec814304b412c4369a1d8 | 86,261 | py | Python | Welcomer 6.20/modules/core.py | TheRockettek/Welcomer | 60706b4d6eec7d4f2500b3acc37530e42d846532 | [
"MIT"
] | 12 | 2019-09-10T21:31:51.000Z | 2022-01-21T14:31:05.000Z | Welcomer 6.20/modules/core.py | TheRockettek/Welcomer | 60706b4d6eec7d4f2500b3acc37530e42d846532 | [
"MIT"
] | null | null | null | Welcomer 6.20/modules/core.py | TheRockettek/Welcomer | 60706b4d6eec7d4f2500b3acc37530e42d846532 | [
"MIT"
] | 1 | 2021-09-17T09:03:54.000Z | 2021-09-17T09:03:54.000Z | import asyncio
import copy
import csv
import io
import math
from math import inf
import os
import sys
import time
import traceback
import logging
from importlib import reload
from datetime import datetime
import logging
import aiohttp
import discord
import requests
import json
import ujson
from discord.ext import comm... | 42.222712 | 327 | 0.48417 | 9,047 | 86,261 | 4.482923 | 0.085332 | 0.029341 | 0.020712 | 0.016051 | 0.493971 | 0.440984 | 0.40003 | 0.365288 | 0.342259 | 0.30631 | 0 | 0.010601 | 0.388692 | 86,261 | 2,042 | 328 | 42.243389 | 0.758515 | 0.150404 | 0 | 0.400673 | 0 | 0.018182 | 0.138677 | 0.020328 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012795 | false | 0.009428 | 0.015488 | 0.000673 | 0.088215 | 0.03569 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6f503162b0ef4701efc6276ebdf2a288cdafb1f | 3,480 | py | Python | figures/bothspectra.py | DanielAndreasen/Paper-updated-nir-linelist | a4094a1d73a58c1ee1597c6df8a11b0b9ce17777 | [
"MIT"
] | null | null | null | figures/bothspectra.py | DanielAndreasen/Paper-updated-nir-linelist | a4094a1d73a58c1ee1597c6df8a11b0b9ce17777 | [
"MIT"
] | null | null | null | figures/bothspectra.py | DanielAndreasen/Paper-updated-nir-linelist | a4094a1d73a58c1ee1597c6df8a11b0b9ce17777 | [
"MIT"
] | null | null | null | from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('ticks')
sns.set_context('paper', font_scale=1.7)
from plot_fits import get_wavelength, dopplerShift
from scipy.interpolate import interp1d
plt.rcParams['xtick.direction'] = 'in'
"""
Compare the spectrum ... | 31.926606 | 70 | 0.561494 | 465 | 3,480 | 4.144086 | 0.369892 | 0.021796 | 0.035288 | 0.05397 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.120923 | 0.277586 | 3,480 | 108 | 71 | 32.222222 | 0.645585 | 0.008621 | 0 | 0.094118 | 0 | 0 | 0.075915 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011765 | false | 0 | 0.070588 | 0 | 0.094118 | 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 |
c6f6ce9055d1d8634c3084a055d492122c9b4918 | 1,818 | py | Python | EnumLasso/paper/paper_thaliana.py | t-basa/LassoVariants | ead33ac83de19865a9553dbdda9a28aa5c781e44 | [
"MIT"
] | 12 | 2016-11-30T04:39:18.000Z | 2021-09-11T13:57:37.000Z | EnumLasso/paper/paper_thaliana.py | t-basa/LassoVariants | ead33ac83de19865a9553dbdda9a28aa5c781e44 | [
"MIT"
] | 2 | 2018-03-05T19:01:09.000Z | 2019-10-10T00:30:55.000Z | EnumLasso/paper/paper_thaliana.py | t-basa/LassoVariants | ead33ac83de19865a9553dbdda9a28aa5c781e44 | [
"MIT"
] | 6 | 2017-08-19T17:49:51.000Z | 2022-01-09T07:41:22.000Z | # -*- coding: utf-8 -*-
"""
@author: satohara
"""
import sys
sys.path.append('../')
import codecs
import numpy as np
import pandas as pd
from EnumerateLinearModel import EnumLasso
# data - x
fn = './data/call_method_32.b'
df = pd.read_csv(fn, sep=',', header=None)
data_id_x = np.array([int(v) for v in df.ix[1, 2:]])... | 24.90411 | 139 | 0.593509 | 336 | 1,818 | 3.154762 | 0.380952 | 0.037736 | 0.033962 | 0.028302 | 0.039623 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031167 | 0.170517 | 1,818 | 73 | 140 | 24.90411 | 0.671751 | 0.074807 | 0 | 0 | 0 | 0 | 0.129419 | 0.034152 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.092593 | 0 | 0.092593 | 0.092593 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6f74625e459f6cfa2aca2f74b48bf8881d4641b | 8,309 | py | Python | lib/backup_service_client/models/bucket.py | sumedhpb/testrunner | 9ff887231c75571624abc31a3fb5248110e01203 | [
"Apache-2.0"
] | 14 | 2015-02-06T02:47:57.000Z | 2020-03-14T15:06:05.000Z | lib/backup_service_client/models/bucket.py | sumedhpb/testrunner | 9ff887231c75571624abc31a3fb5248110e01203 | [
"Apache-2.0"
] | 3 | 2019-02-27T19:29:11.000Z | 2021-06-02T02:14:27.000Z | lib/backup_service_client/models/bucket.py | sumedhpb/testrunner | 9ff887231c75571624abc31a3fb5248110e01203 | [
"Apache-2.0"
] | 155 | 2018-11-13T14:57:07.000Z | 2022-03-28T11:53:22.000Z | # coding: utf-8
"""
Couchbase Backup Service API
This is REST API allows users to remotely schedule and run backups, restores and merges as well as to explore various archives for all there Couchbase Clusters. # noqa: E501
OpenAPI spec version: 0.1.0
Generated by: https://github.com/swagger-api... | 25.965625 | 178 | 0.563846 | 991 | 8,309 | 4.579213 | 0.13219 | 0.047598 | 0.095196 | 0.095196 | 0.412737 | 0.305862 | 0.281402 | 0.212869 | 0.119877 | 0.05465 | 0 | 0.018238 | 0.340113 | 8,309 | 319 | 179 | 26.047022 | 0.809411 | 0.32519 | 0 | 0.077465 | 0 | 0 | 0.059657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.169014 | false | 0 | 0.021127 | 0 | 0.316901 | 0.014085 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6f93b1caf13cee134c81078e57fec4a501c2e10 | 1,618 | py | Python | funciones/app.py | christophermontero/estima-tu-proyecto | 19f533be203c9ac2c4383ded5a1664dd1d05d679 | [
"MIT"
] | 2 | 2021-05-29T16:57:17.000Z | 2021-06-13T18:39:24.000Z | funciones/app.py | christophermontero/estima-tu-proyecto | 19f533be203c9ac2c4383ded5a1664dd1d05d679 | [
"MIT"
] | 22 | 2021-05-22T18:23:40.000Z | 2021-12-18T21:09:59.000Z | funciones/app.py | christophermontero/estima-tu-proyecto | 19f533be203c9ac2c4383ded5a1664dd1d05d679 | [
"MIT"
] | null | null | null | from flask import Flask, jsonify, request
from db import db_session, init_db
from model import Funcion
app = Flask(__name__)
app.config["JSONIFY_PRETTYPRINT_REGULAR"] = False
init_db()
@app.route("/funciones", methods=["POST"])
def create_funcion():
data = request.json
if data["nombreFuncion"] is None:
... | 25.68254 | 93 | 0.685414 | 194 | 1,618 | 5.572165 | 0.345361 | 0.084181 | 0.078631 | 0.044403 | 0.269195 | 0.172063 | 0.172063 | 0.092507 | 0 | 0 | 0 | 0.007257 | 0.148331 | 1,618 | 62 | 94 | 26.096774 | 0.777213 | 0 | 0 | 0.054054 | 0 | 0 | 0.189122 | 0.063041 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135135 | false | 0 | 0.081081 | 0 | 0.405405 | 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 |
c6f9a9602db33208c1f896b22af13200b9be42d9 | 309 | py | Python | onnx_script/check_onnx_model.py | abyssss52/pytorch-image-models | 6ed4124c610a73fc849e7e9567bc36cf5bf38ceb | [
"Apache-2.0"
] | null | null | null | onnx_script/check_onnx_model.py | abyssss52/pytorch-image-models | 6ed4124c610a73fc849e7e9567bc36cf5bf38ceb | [
"Apache-2.0"
] | null | null | null | onnx_script/check_onnx_model.py | abyssss52/pytorch-image-models | 6ed4124c610a73fc849e7e9567bc36cf5bf38ceb | [
"Apache-2.0"
] | null | null | null | import onnx
# Load the ONNX model
model = onnx.load("./mobilenetv2_new.onnx")
# model = onnx.load("../FaceAnti-Spoofing.onnx")
# Check that the IR is well formed
onnx.checker.check_model(model)
# Print a human readable representation of the graph
onnx.helper.printable_graph(model.graph)
print(model.graph)
| 25.75 | 52 | 0.76699 | 47 | 309 | 4.978723 | 0.531915 | 0.102564 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003663 | 0.116505 | 309 | 11 | 53 | 28.090909 | 0.85348 | 0.485437 | 0 | 0 | 0 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.4 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6fa99e51df1893798f6cb4d6c3cbd2091fbf05a | 7,167 | py | Python | src/visualization/plot_grid.py | davimnz/boa | 0546ad4df0ecabec1fd3beb1264cd0930dce13a9 | [
"MIT"
] | null | null | null | src/visualization/plot_grid.py | davimnz/boa | 0546ad4df0ecabec1fd3beb1264cd0930dce13a9 | [
"MIT"
] | null | null | null | src/visualization/plot_grid.py | davimnz/boa | 0546ad4df0ecabec1fd3beb1264cd0930dce13a9 | [
"MIT"
] | null | null | null | import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
import pandas as pd
from math import cos, radians
def shift_position(pos, x_shift, y_shift) -> dict:
"""
Moves nodes' position by (x_shift, y_shift)
"""
return {n: (x + x_shift, y + y_shift)... | 34.960976 | 76 | 0.635412 | 909 | 7,167 | 4.755776 | 0.192519 | 0.039325 | 0.055054 | 0.041638 | 0.433727 | 0.409207 | 0.38353 | 0.302105 | 0.284987 | 0.265094 | 0 | 0.01788 | 0.243058 | 7,167 | 204 | 77 | 35.132353 | 0.778986 | 0.053997 | 0 | 0.317241 | 0 | 0 | 0.069864 | 0.01296 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027586 | false | 0 | 0.041379 | 0 | 0.082759 | 0.006897 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6fb42ccff41d5e02e75ca92305085547bd5ee39 | 3,870 | py | Python | datascripts/make_placescsv.py | NCI-NAACCR-Zone-Design/Louisiana | 42fb1d05c47ae01401ee3ac3cc68ff5e4f5d5c07 | [
"MIT"
] | null | null | null | datascripts/make_placescsv.py | NCI-NAACCR-Zone-Design/Louisiana | 42fb1d05c47ae01401ee3ac3cc68ff5e4f5d5c07 | [
"MIT"
] | 1 | 2020-03-05T23:20:38.000Z | 2020-03-10T18:03:31.000Z | datascripts/make_placescsv.py | NCI-NAACCR-Zone-Design/Louisiana | 42fb1d05c47ae01401ee3ac3cc68ff5e4f5d5c07 | [
"MIT"
] | null | null | null | #!/bin/env python3
from osgeo import ogr
import os
import csv
import settings
class PlacesIntersector:
def run(self):
print("PlacesIntersector")
self.reproject(settings.INPUT_ZONESFILE, settings.REPROJECTED_ZONESFILE, settings.CTAZONES_SHAPEFILE_IDFIELD, settings.CTAZONES_SHAPEFILE_NAMEFIELD)
... | 39.896907 | 156 | 0.62093 | 404 | 3,870 | 5.856436 | 0.475248 | 0.048183 | 0.026627 | 0.032967 | 0.088757 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002927 | 0.293798 | 3,870 | 96 | 157 | 40.3125 | 0.862788 | 0.247028 | 0 | 0 | 0 | 0.017857 | 0.072859 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0 | 0.071429 | 0 | 0.142857 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6fd01691eb418ac4d1818fca0bd68461092ddaa | 580 | py | Python | Google/google_organic_results/google_organic_ads/google_regular_ads/serpapi_scrape_google_ads.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_organic_results/google_organic_ads/google_regular_ads/serpapi_scrape_google_ads.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | Google/google_organic_results/google_organic_ads/google_regular_ads/serpapi_scrape_google_ads.py | dimitryzub/blog-posts-archive | 0978aaa0c9f0142d6f996b81ce391930c5e3be35 | [
"CC0-1.0"
] | null | null | null | # scrapes both regular and shopping ads (top, right blocks)
from serpapi import GoogleSearch
import json, os
params = {
"api_key": os.getenv("API_KEY"),
"engine": "google",
"q": "buy coffee",
"gl": "us",
"hl": "en"
}
search = GoogleSearch(params)
results = search.get_dict()
if results.get("ads",... | 22.307692 | 59 | 0.639655 | 79 | 580 | 4.607595 | 0.544304 | 0.06044 | 0.065934 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004292 | 0.196552 | 580 | 25 | 60 | 23.2 | 0.776824 | 0.098276 | 0 | 0 | 0 | 0 | 0.201536 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.105263 | 0 | 0.105263 | 0.157895 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c6fd244b6ad93e904d3cfe0db3dd28977bc63c93 | 3,316 | py | Python | tomomibot/commands/start.py | adzialocha/tomomibot | ed3964223bd63340f28d36daa014865f61aaf571 | [
"MIT"
] | 28 | 2018-07-26T09:47:32.000Z | 2022-01-24T10:38:13.000Z | tomomibot/commands/start.py | adzialocha/tomomibot | ed3964223bd63340f28d36daa014865f61aaf571 | [
"MIT"
] | null | null | null | tomomibot/commands/start.py | adzialocha/tomomibot | ed3964223bd63340f28d36daa014865f61aaf571 | [
"MIT"
] | 5 | 2018-08-11T08:07:23.000Z | 2021-12-23T14:47:40.000Z | import click
from tomomibot.cli import pass_context
from tomomibot.runtime import Runtime
from tomomibot.utils import check_valid_voice, check_valid_model
from tomomibot.const import (INTERVAL_SEC, INPUT_DEVICE, OUTPUT_CHANNEL,
INPUT_CHANNEL, OUTPUT_DEVICE, SAMPLE_RATE,
... | 39.011765 | 77 | 0.596803 | 367 | 3,316 | 5.26703 | 0.299728 | 0.096741 | 0.043973 | 0.017589 | 0.155199 | 0.129333 | 0.032075 | 0 | 0 | 0 | 0 | 0 | 0.291918 | 3,316 | 84 | 78 | 39.47619 | 0.823254 | 0.010856 | 0 | 0.1 | 0 | 0 | 0.286805 | 0.015272 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0125 | false | 0.025 | 0.0625 | 0 | 0.075 | 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 |
059b0412d51d78feb8e9b2b1008cb427fb6c0e11 | 5,516 | py | Python | Bot/commands_handling/group_commands.py | DogsonPl/bot_for_messenger | 2d6664b52b59696dc82efb3d361b7700ebb3960b | [
"MIT"
] | 19 | 2021-03-11T12:59:00.000Z | 2022-02-12T18:50:58.000Z | Bot/commands_handling/group_commands.py | DogsonPl/bot_for_messenger | 2d6664b52b59696dc82efb3d361b7700ebb3960b | [
"MIT"
] | null | null | null | Bot/commands_handling/group_commands.py | DogsonPl/bot_for_messenger | 2d6664b52b59696dc82efb3d361b7700ebb3960b | [
"MIT"
] | 4 | 2021-03-10T23:07:13.000Z | 2021-09-28T18:55:30.000Z | import fbchat
import random as rd
from .logger import logger
from ..bot_actions import BotActions
from ..sql import handling_group_sql
BOT_WELCOME_MESSAGE = """👋 Witajcie, jestem botem 🤖
❓ Jeśli chcesz zobaczyć moje komendy napisz !help"""
def check_admin_permission(function):
async def wrapper(self, event, ... | 41.787879 | 134 | 0.676215 | 710 | 5,516 | 5.042254 | 0.267606 | 0.040223 | 0.054469 | 0.071229 | 0.390782 | 0.352793 | 0.248883 | 0.201676 | 0.158659 | 0.057542 | 0 | 0.005263 | 0.242205 | 5,516 | 131 | 135 | 42.10687 | 0.845694 | 0.010877 | 0 | 0.3125 | 0 | 0 | 0.159333 | 0.004217 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026786 | false | 0 | 0.044643 | 0 | 0.133929 | 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 |
059f84fb457661f2a82136d2fab085f6c614dd8f | 1,100 | py | Python | util/file_parsing.py | LindaSt/BT-graph-creation | a6aa4d0ca42db4744150f11f17aea7e98d391319 | [
"MIT"
] | 1 | 2022-03-09T07:28:14.000Z | 2022-03-09T07:28:14.000Z | util/file_parsing.py | LindaSt/BT-graph-creation | a6aa4d0ca42db4744150f11f17aea7e98d391319 | [
"MIT"
] | null | null | null | util/file_parsing.py | LindaSt/BT-graph-creation | a6aa4d0ca42db4744150f11f17aea7e98d391319 | [
"MIT"
] | null | null | null | import os
import xml.etree.ElementTree as ET
def parse_xml(file_path) -> dict:
tree = ET.parse(file_path)
root = tree.getroot()
groups_colours = {i.attrib['Name']: i.attrib['Color'] for i in root.iter('Group')}
groups = ['hotspot', 'lymphocytes', 'tumorbuds', 'lymphocytesR', 'tumorbudsR']
annotat... | 36.666667 | 106 | 0.59 | 132 | 1,100 | 4.840909 | 0.378788 | 0.076682 | 0.037559 | 0.031299 | 0.323944 | 0.28482 | 0.234742 | 0.234742 | 0.234742 | 0.234742 | 0 | 0.001224 | 0.257273 | 1,100 | 29 | 107 | 37.931034 | 0.780906 | 0 | 0 | 0.090909 | 0 | 0 | 0.132848 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.090909 | 0 | 0.181818 | 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 |
05a722d6a74837776cdd4f147e146b4674a0d013 | 2,205 | py | Python | app.py | limjierui/money-goose-telebot | bf048e27598b9ff6da580ee62309c4ca33eae0c5 | [
"MIT"
] | null | null | null | app.py | limjierui/money-goose-telebot | bf048e27598b9ff6da580ee62309c4ca33eae0c5 | [
"MIT"
] | null | null | null | app.py | limjierui/money-goose-telebot | bf048e27598b9ff6da580ee62309c4ca33eae0c5 | [
"MIT"
] | 3 | 2020-12-21T16:21:45.000Z | 2020-12-24T16:21:28.000Z | from flask import Flask, request
import telegram
from moneyGooseBot.master_mind import mainCommandHandler
from moneyGooseBot.credentials import URL, reset_key, bot_token, bot_user_name
from web_server import create_app
# https://api.telegram.org/bot1359229669:AAEm8MG26qbA9XjJyojVKvPI7jAdMVqAkc8/getMe
bot = telegram... | 30.625 | 86 | 0.686168 | 298 | 2,205 | 4.983221 | 0.432886 | 0.026936 | 0.018182 | 0.021549 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009698 | 0.204989 | 2,205 | 72 | 87 | 30.625 | 0.837422 | 0.277098 | 0 | 0.186047 | 0 | 0 | 0.176093 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116279 | false | 0 | 0.116279 | 0.023256 | 0.418605 | 0.046512 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05aa26976885770e54982447eb4735e665e02cf2 | 3,061 | py | Python | final/software_tutorial/tutorial/libopencm3/scripts/data/lpc43xx/yaml_odict.py | mmwvh/ce | 162064eeb6668896410c9d176fe75531cd3493fb | [
"MIT"
] | 28 | 2021-04-08T15:59:56.000Z | 2022-03-12T20:42:16.000Z | final/software_tutorial/tutorial/libopencm3/scripts/data/lpc43xx/yaml_odict.py | mmwvh/ce | 162064eeb6668896410c9d176fe75531cd3493fb | [
"MIT"
] | 7 | 2020-08-25T07:58:01.000Z | 2020-09-12T20:44:12.000Z | final/software_tutorial/tutorial/libopencm3/scripts/data/lpc43xx/yaml_odict.py | mmwvh/ce | 162064eeb6668896410c9d176fe75531cd3493fb | [
"MIT"
] | 13 | 2020-02-13T18:25:57.000Z | 2022-03-01T11:27:12.000Z | import yaml
from collections import OrderedDict
def construct_odict(load, node):
"""This is the same as SafeConstructor.construct_yaml_omap(),
except the data type is changed to OrderedDict() and setitem is
used instead of append in the loop.
>>> yaml.load('''
... !!omap
... - foo: bar
...... | 37.329268 | 90 | 0.613525 | 387 | 3,061 | 4.736434 | 0.271318 | 0.0491 | 0.03928 | 0.052373 | 0.302237 | 0.302237 | 0.253137 | 0.238407 | 0.217676 | 0.217676 | 0 | 0.004822 | 0.254819 | 3,061 | 81 | 91 | 37.790123 | 0.798772 | 0.285528 | 0 | 0.142857 | 0 | 0 | 0.129745 | 0.021144 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.040816 | 0 | 0.142857 | 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 |
05ac654490e3084f2724bef66dfbbee9d64e72f4 | 10,609 | py | Python | app.py | isabella232/arrested-development | ac53eb71a4cacc3793d51ff2c2c3c51a7c384dea | [
"FSFAP"
] | 1 | 2015-03-16T21:22:58.000Z | 2015-03-16T21:22:58.000Z | app.py | nprapps/arrested-development | ac53eb71a4cacc3793d51ff2c2c3c51a7c384dea | [
"FSFAP"
] | 1 | 2021-02-24T06:08:41.000Z | 2021-02-24T06:08:41.000Z | app.py | isabella232/arrested-development | ac53eb71a4cacc3793d51ff2c2c3c51a7c384dea | [
"FSFAP"
] | 2 | 2015-02-22T23:39:11.000Z | 2021-02-23T10:45:05.000Z | #!/usr/bin/env python
import json
from mimetypes import guess_type
import urllib
import envoy
from flask import Flask, Markup, abort, render_template, redirect, Response
import app_config
from models import Joke, Episode, EpisodeJoke, JokeConnection
from render_utils import flatten_app_config, make_context
app = Fl... | 33.153125 | 112 | 0.624658 | 1,279 | 10,609 | 5.014073 | 0.145426 | 0.039451 | 0.018712 | 0.019648 | 0.398098 | 0.305005 | 0.221737 | 0.213317 | 0.156869 | 0.110089 | 0 | 0.006552 | 0.223112 | 10,609 | 319 | 113 | 33.257053 | 0.771536 | 0.014327 | 0 | 0.247863 | 0 | 0.004274 | 0.178722 | 0.050517 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07265 | false | 0.004274 | 0.059829 | 0.008547 | 0.213675 | 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 |
05ae582a0fb6d75889c4d858419450e634ed3a1d | 12,129 | py | Python | json_modify.py | Enacero/yaml-patch | 7270d431447c82d665622cc316f0941214e7eee2 | [
"MIT"
] | 2 | 2020-04-21T08:49:39.000Z | 2020-12-21T07:28:43.000Z | json_modify.py | Enacero/json_modify | 7270d431447c82d665622cc316f0941214e7eee2 | [
"MIT"
] | null | null | null | json_modify.py | Enacero/json_modify | 7270d431447c82d665622cc316f0941214e7eee2 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2020 Oleksii Petrenko
#
# 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... | 32.692722 | 88 | 0.612252 | 1,513 | 12,129 | 4.820886 | 0.144085 | 0.029613 | 0.032904 | 0.028654 | 0.415136 | 0.319852 | 0.290376 | 0.250343 | 0.233342 | 0.207294 | 0 | 0.001739 | 0.288812 | 12,129 | 370 | 89 | 32.781081 | 0.843844 | 0.242147 | 0 | 0.31405 | 0 | 0 | 0.158541 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041322 | false | 0 | 0.020661 | 0 | 0.095041 | 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 |
05aed2b7bdb2d62afb387bf3fa03ff50f51651b0 | 43,958 | py | Python | serial_scripts/vm_regression/test_vm_serial.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | 1 | 2017-06-13T04:42:34.000Z | 2017-06-13T04:42:34.000Z | serial_scripts/vm_regression/test_vm_serial.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | null | null | null | serial_scripts/vm_regression/test_vm_serial.py | vkolli/contrail-test-perf | db04b8924a2c330baabe3059788b149d957a7d67 | [
"Apache-2.0"
] | null | null | null | import traffic_tests
from vn_test import *
from vm_test import *
from floating_ip import *
from policy_test import *
from compute_node_test import ComputeNodeFixture
from user_test import UserFixture
from multiple_vn_vm_test import *
from tcutils.wrappers import preposttest_wrapper
sys.path.append(os.path.realpath('tcu... | 46.125918 | 140 | 0.626189 | 5,636 | 43,958 | 4.61533 | 0.099184 | 0.039982 | 0.022605 | 0.018299 | 0.631824 | 0.582231 | 0.531755 | 0.488851 | 0.439413 | 0.396702 | 0 | 0.020339 | 0.287524 | 43,958 | 952 | 141 | 46.17437 | 0.810211 | 0.142318 | 0 | 0.471879 | 0 | 0 | 0.140257 | 0.016847 | 0 | 0 | 0 | 0 | 0.082305 | 1 | 0.019204 | false | 0.03155 | 0.027435 | 0 | 0.0631 | 0.001372 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05b079948e8c02888049d1f77a57cfcbe4bb8e4b | 1,432 | py | Python | readouts/basic_readout.py | qbxlvnf11/graph-neural-networks-for-graph-classification | 5d69ead58c786aa8e472ab0433156fe09fe6ca4b | [
"MIT"
] | 20 | 2020-09-02T07:07:35.000Z | 2022-03-16T15:22:14.000Z | readouts/basic_readout.py | yuexiarenjing/graph-neural-networks-for-graph-classification | 5d69ead58c786aa8e472ab0433156fe09fe6ca4b | [
"MIT"
] | 2 | 2021-11-01T08:32:10.000Z | 2022-03-25T04:29:35.000Z | readouts/basic_readout.py | yuexiarenjing/graph-neural-networks-for-graph-classification | 5d69ead58c786aa8e472ab0433156fe09fe6ca4b | [
"MIT"
] | 11 | 2020-09-02T07:13:46.000Z | 2022-03-23T10:38:07.000Z | import torch
def readout_function(x, readout, batch=None, device=None):
if len(x.size()) == 3:
if readout == 'max':
return torch.max(x, dim=1)[0].squeeze() # max readout
elif readout == 'avg':
return torch.mean(x, dim=1).squeeze() # avg readout
elif readout == 'sum':
return torch.sum(x,... | 34.095238 | 77 | 0.552374 | 197 | 1,432 | 3.944162 | 0.192893 | 0.046332 | 0.138996 | 0.061776 | 0.552124 | 0.552124 | 0.512227 | 0.471042 | 0.471042 | 0.471042 | 0 | 0.016865 | 0.296089 | 1,432 | 42 | 78 | 34.095238 | 0.753968 | 0.074721 | 0 | 0.405405 | 0 | 0 | 0.020517 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.027027 | 0 | 0.162162 | 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 |
05b2b6ec5edc971fee6f55c38fd27eec4af6014d | 11,493 | py | Python | plugins/helpers/EFO.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 4 | 2019-03-26T15:54:35.000Z | 2021-05-27T13:18:43.000Z | plugins/helpers/EFO.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 12 | 2019-04-23T14:45:04.000Z | 2022-03-17T09:40:04.000Z | plugins/helpers/EFO.py | opentargets/platform-input-support | 555c3ed091a7a3a767dc0c37054dbcd369f02252 | [
"Apache-2.0"
] | 2 | 2019-06-15T17:21:14.000Z | 2021-05-14T18:35:18.000Z | import logging
import re
import json
import jsonlines
from urllib import parse
logger = logging.getLogger(__name__)
# EFO
# The current implementation is based on the conversion from owl format to json lines format using Apache RIOT
# The structure disease_obsolete stores the obsolete terms and it is used to retriev... | 40.326316 | 116 | 0.59297 | 1,352 | 11,493 | 4.892012 | 0.180473 | 0.061687 | 0.033868 | 0.017992 | 0.156033 | 0.090717 | 0.065618 | 0.034775 | 0.034775 | 0.034775 | 0 | 0.00859 | 0.301053 | 11,493 | 284 | 117 | 40.46831 | 0.814764 | 0.137736 | 0 | 0.07109 | 0 | 0 | 0.095465 | 0.002328 | 0 | 0 | 0 | 0.003521 | 0 | 1 | 0.118483 | false | 0 | 0.023697 | 0.009479 | 0.218009 | 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 |
05b664d9f22c51662666d538e6f424b0f69a4ea2 | 948 | py | Python | interaction3/mfield/tests/test_transmit_receive_beamplot.py | bdshieh/interaction3 | b44c390045cf3b594125e90d2f2f4f617bc2433b | [
"MIT"
] | 2 | 2020-07-08T14:42:52.000Z | 2022-03-13T05:25:55.000Z | interaction3/mfield/tests/test_transmit_receive_beamplot.py | bdshieh/interaction3 | b44c390045cf3b594125e90d2f2f4f617bc2433b | [
"MIT"
] | null | null | null | interaction3/mfield/tests/test_transmit_receive_beamplot.py | bdshieh/interaction3 | b44c390045cf3b594125e90d2f2f4f617bc2433b | [
"MIT"
] | null | null | null |
import numpy as np
from interaction3 import abstract
from interaction3.arrays import matrix
from interaction3.mfield.solvers.transmit_receive_beamplot_2 import TransmitReceiveBeamplot2
array = matrix.create(nelem=[2, 2])
simulation = abstract.MfieldSimulation(sampling_frequency=100e6,
... | 35.111111 | 92 | 0.517932 | 82 | 948 | 5.853659 | 0.585366 | 0.025 | 0.01875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06383 | 0.405063 | 948 | 26 | 93 | 36.461538 | 0.787234 | 0 | 0 | 0 | 0 | 0 | 0.012685 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 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 |
05b7efff7d41c4651007c0d46a051ea437cab70c | 16,172 | py | Python | scripts/make_plots.py | facebookresearch/mpcfp | cb29797aa4f2ce524dd584ecf47c863fd9f414a6 | [
"MIT"
] | 5 | 2020-11-18T23:55:17.000Z | 2022-01-14T07:15:35.000Z | scripts/make_plots.py | facebookresearch/mpcfp | cb29797aa4f2ce524dd584ecf47c863fd9f414a6 | [
"MIT"
] | null | null | null | scripts/make_plots.py | facebookresearch/mpcfp | cb29797aa4f2ce524dd584ecf47c863fd9f414a6 | [
"MIT"
] | 2 | 2021-11-06T14:06:13.000Z | 2022-01-14T07:16:29.000Z | #!/usr/bin/env python2
# 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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __fu... | 32.539235 | 79 | 0.537225 | 2,046 | 16,172 | 4.134897 | 0.156892 | 0.021277 | 0.009929 | 0.019858 | 0.56182 | 0.540544 | 0.520567 | 0.486525 | 0.477778 | 0.448936 | 0 | 0.039293 | 0.310722 | 16,172 | 496 | 80 | 32.604839 | 0.719656 | 0.039327 | 0 | 0.51005 | 0 | 0 | 0.10826 | 0.043974 | 0 | 0 | 0 | 0 | 0.01005 | 1 | 0.032663 | false | 0 | 0.030151 | 0 | 0.070352 | 0.002513 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05b87ef1f9d957ce2aacbc7ba9bf31d3f24627e5 | 2,782 | py | Python | example_backtesting.py | brokenlab/finance4py | 839fb4c262c369973c1afaebb23291355f8b4668 | [
"MIT"
] | 6 | 2016-12-28T03:40:46.000Z | 2017-03-31T12:04:43.000Z | example_backtesting.py | brokenlab/finance4py | 839fb4c262c369973c1afaebb23291355f8b4668 | [
"MIT"
] | null | null | null | example_backtesting.py | brokenlab/finance4py | 839fb4c262c369973c1afaebb23291355f8b4668 | [
"MIT"
] | 3 | 2018-04-26T03:14:29.000Z | 2021-06-13T16:18:04.000Z | # -*- coding: utf-8 -*-
'''
* finance4py
* Based on Python Data Analysis Library.
* 2016/03/22 by Sheg-Huai Wang <m10215059@csie.ntust.edu.tw>
* Copyright (c) 2016, finance4py team
* All rights reserved.
* Redistribution and use in source and binary forms, with or without modification,
are permitted ... | 35.21519 | 104 | 0.727175 | 392 | 2,782 | 5.094388 | 0.512755 | 0.040561 | 0.022534 | 0.028543 | 0.128192 | 0.068102 | 0.068102 | 0.068102 | 0.068102 | 0.068102 | 0 | 0.025033 | 0.181524 | 2,782 | 79 | 105 | 35.21519 | 0.851998 | 0.672538 | 0 | 0 | 0 | 0 | 0.108945 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0.083333 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05b95038357172273cd6bf5b94205ef5e3a1bff8 | 2,818 | py | Python | main.py | af12066/cancel-sit | 29977bb86927e69ae7f94a160ef4d1fb810f0117 | [
"MIT"
] | null | null | null | main.py | af12066/cancel-sit | 29977bb86927e69ae7f94a160ef4d1fb810f0117 | [
"MIT"
] | null | null | null | main.py | af12066/cancel-sit | 29977bb86927e69ae7f94a160ef4d1fb810f0117 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) T. H.
import urllib.request
import re
import urllib.parse
import codecs
import filecmp
import os.path
import os
from bs4 import BeautifulSoup
from slacker import Slacker
from datetime import datetime
class Slack(object):
__slacker = None
def __init__(self, token):
... | 29.663158 | 220 | 0.625621 | 313 | 2,818 | 5.498403 | 0.460064 | 0.025567 | 0.022661 | 0.034863 | 0.063916 | 0.063916 | 0.063916 | 0.063916 | 0.063916 | 0.063916 | 0 | 0.011236 | 0.242016 | 2,818 | 94 | 221 | 29.978723 | 0.794476 | 0.173172 | 0 | 0.107143 | 0 | 0.017857 | 0.07672 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.178571 | 0 | 0.303571 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05be03857ac9bab749c288e65ba7f0f36541df9b | 4,561 | py | Python | Scripts/simulation/gsi_handlers/object_lost_and_found_service_handlers.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/gsi_handlers/object_lost_and_found_service_handlers.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/gsi_handlers/object_lost_and_found_service_handlers.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\gsi_handlers\object_lost_and_found_service_handlers.py
# Compiled at: 2018-10-26 00:20:22
# Size of ... | 44.281553 | 110 | 0.70182 | 642 | 4,561 | 4.601246 | 0.182243 | 0.032498 | 0.05281 | 0.056872 | 0.531483 | 0.455315 | 0.27759 | 0.207177 | 0.128639 | 0.111713 | 0 | 0.018407 | 0.201929 | 4,561 | 103 | 111 | 44.281553 | 0.793132 | 0.073668 | 0 | 0.151163 | 0 | 0 | 0.069685 | 0.017303 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.034884 | 0 | 0.162791 | 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 |
05bf284e1bf49c109f8df75324eddb8540d17a61 | 685 | py | Python | testing/test_pendulum.py | delock/pytorch-a3c-mujoco | 82e0c854417ac05e0f414eab1710794d41515591 | [
"MIT"
] | null | null | null | testing/test_pendulum.py | delock/pytorch-a3c-mujoco | 82e0c854417ac05e0f414eab1710794d41515591 | [
"MIT"
] | null | null | null | testing/test_pendulum.py | delock/pytorch-a3c-mujoco | 82e0c854417ac05e0f414eab1710794d41515591 | [
"MIT"
] | null | null | null | #Importing OpenAI gym package and MuJoCo engine
import gym
import numpy as np
import mujoco_py
import matplotlib.pyplot as plt
import env
#Setting MountainCar-v0 as the environment
env = gym.make('InvertedPendulum-down')
#Sets an initial state
env.reset()
print (env.action_space)
# Rendering our instance 300 times
i =... | 25.37037 | 70 | 0.706569 | 104 | 685 | 4.615385 | 0.634615 | 0.06875 | 0.075 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014388 | 0.188321 | 685 | 26 | 71 | 26.346154 | 0.848921 | 0.382482 | 0 | 0 | 0 | 0 | 0.125 | 0.050481 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.277778 | 0 | 0.277778 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05bf7c9f0303c517554bb2670af4a9a4baf2a54a | 5,317 | py | Python | plots/plot_drift_types.py | ChristophRaab/RRSLVQ | e265f62e023bd3ca23273b51e06035fd3c0b7c94 | [
"MIT"
] | 1 | 2021-06-22T20:54:03.000Z | 2021-06-22T20:54:03.000Z | plots/plot_drift_types.py | ChristophRaab/RRSLVQ | e265f62e023bd3ca23273b51e06035fd3c0b7c94 | [
"MIT"
] | 5 | 2020-04-20T09:31:02.000Z | 2021-07-10T01:23:36.000Z | plots/plot_drift_types.py | ChristophRaab/RRSLVQ | e265f62e023bd3ca23273b51e06035fd3c0b7c94 | [
"MIT"
] | 1 | 2020-07-03T04:00:47.000Z | 2020-07-03T04:00:47.000Z | import matplotlib.pyplot as plt
import numpy as np
from scipy.special import logit
import pandas as pd
from matplotlib.axes import Axes, Subplot
from matplotlib.collections import LineCollection
from matplotlib.colors import ListedColormap, BoundaryNorm
SMALL = 14
SIZE = 16
plt.rc('font', size=SIZE) # controls defaul... | 33.024845 | 130 | 0.671995 | 792 | 5,317 | 4.385101 | 0.179293 | 0.15203 | 0.07256 | 0.062194 | 0.663979 | 0.639217 | 0.639217 | 0.60812 | 0.601209 | 0.577023 | 0 | 0.040267 | 0.182622 | 5,317 | 160 | 131 | 33.23125 | 0.758859 | 0.106827 | 0 | 0.64486 | 0 | 0 | 0.055203 | 0.004442 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037383 | false | 0 | 0.065421 | 0 | 0.102804 | 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 |
05c1f456776569370085a917d41ee8b850f0a3b7 | 15,773 | py | Python | simulation/src/utils.py | VIDA-NYU/pedestrian-sensing-model | e8f0a6d3e47fc2a2577ac502f607568b3b7f2abf | [
"MIT"
] | 2 | 2020-01-14T12:44:11.000Z | 2021-09-29T16:09:37.000Z | simulation/src/utils.py | VIDA-NYU/pedestrian-sensing-model | e8f0a6d3e47fc2a2577ac502f607568b3b7f2abf | [
"MIT"
] | 1 | 2021-09-11T14:13:57.000Z | 2021-09-11T14:13:57.000Z | simulation/src/utils.py | VIDA-NYU/pedestrian-sensing-model | e8f0a6d3e47fc2a2577ac502f607568b3b7f2abf | [
"MIT"
] | 2 | 2020-07-13T17:08:25.000Z | 2021-03-31T15:10:58.000Z | #!/usr/bin/env python3
import numpy as np
import math
import random
import time
import scipy.misc
import scipy.signal
import multiprocessing
import json
import itertools
import os
import pprint
from collections import namedtuple
from fractions import gcd
from optimized import get_distance
OBSTACLE = -1
MAX = 21474836... | 30.216475 | 140 | 0.573131 | 1,984 | 15,773 | 4.470262 | 0.21119 | 0.00902 | 0.009471 | 0.013418 | 0.252227 | 0.216597 | 0.19337 | 0.187282 | 0.187282 | 0.183899 | 0 | 0.022758 | 0.258987 | 15,773 | 521 | 141 | 30.274472 | 0.736054 | 0.246878 | 0 | 0.077206 | 0 | 0 | 0.024402 | 0.002227 | 0 | 0 | 0 | 0.001919 | 0 | 1 | 0.099265 | false | 0 | 0.051471 | 0.007353 | 0.246324 | 0.014706 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05c354eab5a376b1dcdf00dc912ca4e24bdc43ea | 2,438 | py | Python | luxor/controllers/types.py | sam007961/luxor | 31838c937b61bfbc400103d58ec5b5070471767e | [
"MIT"
] | null | null | null | luxor/controllers/types.py | sam007961/luxor | 31838c937b61bfbc400103d58ec5b5070471767e | [
"MIT"
] | 5 | 2020-09-06T15:44:13.000Z | 2020-11-02T11:30:22.000Z | luxor/controllers/types.py | sam007961/luxor | 31838c937b61bfbc400103d58ec5b5070471767e | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import Union
from luxor.core.events import Event
from luxor.controllers.expressions import Var
class Int(Var):
def __init__(self, value: Number = 0, **kwargs) -> None:
super(Int, self).__init__(**kwargs)
self.event_prefix = self.name + '.int.'
... | 30.098765 | 73 | 0.511895 | 275 | 2,438 | 4.378182 | 0.192727 | 0.05814 | 0.062292 | 0.066445 | 0.106312 | 0.084718 | 0.059801 | 0.059801 | 0 | 0 | 0 | 0.000637 | 0.35644 | 2,438 | 80 | 74 | 30.475 | 0.76673 | 0 | 0 | 0.153846 | 0 | 0 | 0.068089 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.184615 | false | 0.015385 | 0.061538 | 0.092308 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05c66e3dcdf2a391e7cb2ae90afaebe8a08c59e9 | 3,483 | py | Python | skeletons/browser/browser.py | gbkim000/wxPython | b1604d71cf04801f9efa8b26b935561a88ef1daa | [
"BSD-2-Clause"
] | 80 | 2018-05-25T00:37:25.000Z | 2022-03-13T12:31:02.000Z | skeletons/browser/browser.py | gbkim000/wxPython | b1604d71cf04801f9efa8b26b935561a88ef1daa | [
"BSD-2-Clause"
] | 1 | 2021-01-08T20:22:52.000Z | 2021-01-08T20:22:52.000Z | skeletons/browser/browser.py | gbkim000/wxPython | b1604d71cf04801f9efa8b26b935561a88ef1daa | [
"BSD-2-Clause"
] | 32 | 2018-05-24T05:40:55.000Z | 2022-03-24T00:32:11.000Z | #!/usr/bin/python
"""
ZetCode wxPython tutorial
This program creates a browser UI.
author: Jan Bodnar
website: zetcode.com
last edited: May 2018
"""
import wx
from wx.lib.buttons import GenBitmapTextButton
class Example(wx.Frame):
def __init__(self, *args, **kw):
super(Example, self).__init__(*args, *... | 27.642857 | 83 | 0.584266 | 425 | 3,483 | 4.727059 | 0.275294 | 0.062718 | 0.062718 | 0.089597 | 0.349428 | 0.232952 | 0.214037 | 0 | 0 | 0 | 0 | 0.028402 | 0.272179 | 3,483 | 125 | 84 | 27.864 | 0.764103 | 0.050531 | 0 | 0.107143 | 0 | 0 | 0.060036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.02381 | 0 | 0.083333 | 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 |
05c7ce421e8fdf3698aad581723528f431eaafbe | 1,673 | py | Python | model/tds_block.py | SABER-labs/SABERv2 | 028d403beadec3adebd51582fd8ef896a2fe3696 | [
"MIT"
] | 1 | 2022-03-02T02:52:24.000Z | 2022-03-02T02:52:24.000Z | model/tds_block.py | SABER-labs/SABERv2 | 028d403beadec3adebd51582fd8ef896a2fe3696 | [
"MIT"
] | null | null | null | model/tds_block.py | SABER-labs/SABERv2 | 028d403beadec3adebd51582fd8ef896a2fe3696 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
class TDSBlock(nn.Module):
def __init__(self, channels, kernel_size, width, dropout, right_padding):
super().__init__()
self.channels = channels
self.width = width
assert(right_padding >= 0)
self.conv_block = nn.Sequential(
... | 28.355932 | 77 | 0.545129 | 228 | 1,673 | 3.833333 | 0.298246 | 0.048055 | 0.022883 | 0.01373 | 0.28833 | 0.162471 | 0.1373 | 0 | 0 | 0 | 0 | 0.037004 | 0.321578 | 1,673 | 58 | 78 | 28.844828 | 0.73304 | 0.022116 | 0 | 0.133333 | 0 | 0 | 0.026961 | 0.014706 | 0 | 0 | 0 | 0 | 0.022222 | 1 | 0.044444 | false | 0 | 0.066667 | 0 | 0.155556 | 0.022222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05c8724a622688c0f5c093058bd7213a2efddffc | 1,968 | py | Python | blackcompany/serve/vcs.py | clckwrkbdgr/blackcompany | 9164a0db3e9f11878ce12da6ebdf82a300e1c6f4 | [
"WTFPL"
] | null | null | null | blackcompany/serve/vcs.py | clckwrkbdgr/blackcompany | 9164a0db3e9f11878ce12da6ebdf82a300e1c6f4 | [
"WTFPL"
] | null | null | null | blackcompany/serve/vcs.py | clckwrkbdgr/blackcompany | 9164a0db3e9f11878ce12da6ebdf82a300e1c6f4 | [
"WTFPL"
] | null | null | null | from ._base import Endpoint
from ..util._six import Path
import bottle
from ..util import gitHttpBackend
class GitHTTPBackend:
""" WSGI git-http-backend interface to actual endpoints.
"""
def __init__(self, route, repo_root):
self.route = route
self.repo_root = Path(repo_root)
def get(self, path):
return sel... | 37.846154 | 143 | 0.758638 | 280 | 1,968 | 5.067857 | 0.3 | 0.033827 | 0.049331 | 0.02537 | 0.118393 | 0.0747 | 0.042283 | 0 | 0 | 0 | 0 | 0 | 0.124492 | 1,968 | 51 | 144 | 38.588235 | 0.823564 | 0.126524 | 0 | 0.051282 | 0 | 0 | 0.047981 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.179487 | false | 0 | 0.102564 | 0.076923 | 0.461538 | 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 |
05cc0547376efd7b3d0398149b11f68433ccaf60 | 2,999 | py | Python | imaginaire/discriminators/cagan.py | zebincai/imaginaire | f5a707f449d93c33fbfe19bcd975a476f2c1dd7a | [
"RSA-MD"
] | null | null | null | imaginaire/discriminators/cagan.py | zebincai/imaginaire | f5a707f449d93c33fbfe19bcd975a476f2c1dd7a | [
"RSA-MD"
] | null | null | null | imaginaire/discriminators/cagan.py | zebincai/imaginaire | f5a707f449d93c33fbfe19bcd975a476f2c1dd7a | [
"RSA-MD"
] | null | null | null | # Copyright (C) 2020 NVIDIA Corporation. All rights reserved.
#
# This work is made available under the Nvidia Source Code License-NC.
# To view a copy of this license, check out LICENSE.md
import torch
import torch.nn as nn
from imaginaire.layers import Conv2dBlock
from imaginaire.layers.misc import ApplyNoise... | 40.527027 | 102 | 0.617206 | 383 | 2,999 | 4.644909 | 0.357702 | 0.006745 | 0.059022 | 0.047218 | 0.196178 | 0.037099 | 0.037099 | 0 | 0 | 0 | 0 | 0.057683 | 0.277426 | 2,999 | 73 | 103 | 41.082192 | 0.763267 | 0.14905 | 0 | 0 | 0 | 0 | 0.051534 | 0.029039 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.104167 | 0 | 0.1875 | 0.020833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05cc10143e791bcc38db23bf914cc748df6a3237 | 2,959 | py | Python | Chapter10/Ch10/server/database.py | henrryyanez/Tkinter-GUI-Programming-by-Example | c8a326d6034b5e54f77605a8ec840cb8fac89412 | [
"MIT"
] | 127 | 2018-08-27T16:34:43.000Z | 2022-03-22T19:20:53.000Z | Chapter10/Ch10/server/database.py | PiotrAdaszewski/Tkinter-GUI-Programming-by-Example | c8a326d6034b5e54f77605a8ec840cb8fac89412 | [
"MIT"
] | 8 | 2019-04-11T06:47:36.000Z | 2022-03-11T23:23:42.000Z | Chapter10/Ch10/server/database.py | PiotrAdaszewski/Tkinter-GUI-Programming-by-Example | c8a326d6034b5e54f77605a8ec840cb8fac89412 | [
"MIT"
] | 85 | 2018-04-30T19:42:21.000Z | 2022-03-30T01:22:54.000Z | import sqlite3
class Database:
def __init__(self):
self.database = "chat.db"
def perform_insert(self, sql, params):
conn = sqlite3.connect(self.database)
cursor = conn.cursor()
cursor.execute(sql, params)
conn.commit()
conn.close()
def perform_select(self,... | 30.822917 | 117 | 0.630618 | 365 | 2,959 | 4.920548 | 0.194521 | 0.055122 | 0.056793 | 0.066815 | 0.322383 | 0.264477 | 0.170379 | 0.089087 | 0 | 0 | 0 | 0.006464 | 0.267996 | 2,959 | 95 | 118 | 31.147368 | 0.822715 | 0 | 0 | 0.268657 | 0 | 0.014925 | 0.199054 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.179104 | false | 0 | 0.014925 | 0 | 0.328358 | 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 |
05cea8e33b54e9775229454c04e0071781d3127e | 938 | py | Python | ad_hoc_scripts/update_by_condition.py | IgorZyktin/MediaStorageSystem | df8d260581cb806eb54f320d63aa674c6175c17e | [
"MIT"
] | 2 | 2021-03-06T16:07:30.000Z | 2021-03-17T10:27:25.000Z | ad_hoc_scripts/update_by_condition.py | IgorZyktin/MediaStorageSystem | df8d260581cb806eb54f320d63aa674c6175c17e | [
"MIT"
] | null | null | null | ad_hoc_scripts/update_by_condition.py | IgorZyktin/MediaStorageSystem | df8d260581cb806eb54f320d63aa674c6175c17e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Non user friendly script.
"""
from mss.core.class_filesystem import Filesystem
def update_by_condition(root_path: str, theme: str):
"""Change records by condition."""
fs = Filesystem()
path = fs.join(root_path, theme, 'metainfo')
for folder, filename, name, ext in fs.iter_... | 26.055556 | 57 | 0.590618 | 115 | 938 | 4.573913 | 0.53913 | 0.060837 | 0.064639 | 0.079848 | 0.095057 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004458 | 0.282516 | 938 | 35 | 58 | 26.8 | 0.777117 | 0.08209 | 0 | 0 | 0 | 0 | 0.155477 | 0.028269 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.045455 | 0 | 0.090909 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05cf590b42b6da085a51776ee9e5aa949a057c25 | 2,555 | py | Python | 2.ReinforcementLearning/RL_Book/1-gridworld/environment_value_iteration.py | link-kut/deeplink_public | 688c379bfeb63156e865d78d0428f97d7d203cc1 | [
"MIT"
] | null | null | null | 2.ReinforcementLearning/RL_Book/1-gridworld/environment_value_iteration.py | link-kut/deeplink_public | 688c379bfeb63156e865d78d0428f97d7d203cc1 | [
"MIT"
] | 11 | 2020-01-28T22:33:49.000Z | 2022-03-11T23:41:08.000Z | 2.ReinforcementLearning/RL_Book/1-gridworld/environment_value_iteration.py | link-kut/deeplink_public | 688c379bfeb63156e865d78d0428f97d7d203cc1 | [
"MIT"
] | 2 | 2019-06-01T04:14:52.000Z | 2020-05-31T08:13:23.000Z | from environment import *
import random
class ValueIterationGraphicDisplay(GraphicDisplay):
def __init__(self, agent, title):
self.btn_1_text = "Calculate"
self.btn_2_text = "Print Policy"
self.btn_1_func = self.calculate_value
self.btn_2_func = self.print_optimal_policy
sel... | 39.307692 | 94 | 0.600391 | 351 | 2,555 | 4.150997 | 0.22792 | 0.054907 | 0.07138 | 0.07687 | 0.303363 | 0.277282 | 0.227865 | 0.196294 | 0.196294 | 0.196294 | 0 | 0.023613 | 0.28728 | 2,555 | 65 | 95 | 39.307692 | 0.776496 | 0.007045 | 0 | 0.074074 | 0 | 0 | 0.008291 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.037037 | 0 | 0.185185 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05cff405e8dd7ef93166ffc63471b8011294be84 | 8,289 | py | Python | csimpy/test.py | dewancse/csimpy | 58c32e40e5d991b4ca98df05e6f61020def475a9 | [
"Apache-2.0"
] | null | null | null | csimpy/test.py | dewancse/csimpy | 58c32e40e5d991b4ca98df05e6f61020def475a9 | [
"Apache-2.0"
] | null | null | null | csimpy/test.py | dewancse/csimpy | 58c32e40e5d991b4ca98df05e6f61020def475a9 | [
"Apache-2.0"
] | null | null | null | from enum import Enum
from math import *
from scipy import integrate
import matplotlib.pyplot as plt
from libcellml import *
import lxml.etree as ET
__version__ = "0.1.0"
LIBCELLML_VERSION = "0.2.0"
STATE_COUNT = 1
VARIABLE_COUNT = 29
class VariableType(Enum):
CONSTANT = 1
COMPUTED_CONSTANT = 2
ALGEBRAI... | 42.507692 | 268 | 0.68054 | 1,130 | 8,289 | 4.839823 | 0.177876 | 0.084842 | 0.052843 | 0.090144 | 0.520205 | 0.465533 | 0.439386 | 0.368257 | 0.335345 | 0.287073 | 0 | 0.058824 | 0.120159 | 8,289 | 195 | 269 | 42.507692 | 0.691074 | 0.129328 | 0 | 0 | 0 | 0 | 0.231381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.05042 | 0.016807 | 0.168067 | 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 |
05d4760733051270e73120a1ac9a61ea86e6cde5 | 1,800 | py | Python | DOOM.py | ariel139/DOOM-port-scanner | 328678b9f79855de472967f1a3e4b3e9181a3706 | [
"MIT"
] | 6 | 2020-11-24T06:51:02.000Z | 2022-02-26T23:19:46.000Z | DOOM.py | ariel139/DOOM-port-scanner | 328678b9f79855de472967f1a3e4b3e9181a3706 | [
"MIT"
] | null | null | null | DOOM.py | ariel139/DOOM-port-scanner | 328678b9f79855de472967f1a3e4b3e9181a3706 | [
"MIT"
] | null | null | null | import socket
from IPy import IP
print("""
You are using the DOOM Port scanner.
This tool is for educational purpose ONLY!!!!
1. You can change the range of the ports you want to scan.
2. You can change the speedof the scan
3. you can scan a list of targets by using ', ' after each target
4. You can sc... | 24.657534 | 111 | 0.597778 | 270 | 1,800 | 3.907407 | 0.32963 | 0.022749 | 0.036967 | 0.028436 | 0.030332 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010408 | 0.306111 | 1,800 | 72 | 112 | 25 | 0.834267 | 0.095 | 0 | 0.1875 | 0 | 0.020833 | 0.367979 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.041667 | 0.020833 | 0.1875 | 0.104167 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05d4a6a91e58732f8757086328fccaf5f8b61a70 | 9,380 | py | Python | finding_models/testing_classifiers.py | NtMalDetect/NtMalDetect | 5bf8f35491bf8081d0b721fa1bf90582b410ed74 | [
"MIT"
] | 10 | 2018-01-04T07:59:59.000Z | 2022-01-17T08:56:33.000Z | finding_models/testing_classifiers.py | NtMalDetect/NtMalDetect | 5bf8f35491bf8081d0b721fa1bf90582b410ed74 | [
"MIT"
] | 2 | 2020-01-12T19:32:05.000Z | 2020-04-11T09:38:07.000Z | finding_models/testing_classifiers.py | NtMalDetect/NtMalDetect | 5bf8f35491bf8081d0b721fa1bf90582b410ed74 | [
"MIT"
] | 1 | 2018-08-31T04:13:43.000Z | 2018-08-31T04:13:43.000Z | from __future__ import print_function
import logging
import numpy as np
from optparse import OptionParser
import sys
from time import time
import matplotlib.pyplot as plt
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from skl... | 31.059603 | 150 | 0.698294 | 1,219 | 9,380 | 5.231337 | 0.248564 | 0.031363 | 0.027599 | 0.01035 | 0.243218 | 0.168104 | 0.12106 | 0.105065 | 0.084993 | 0.084993 | 0 | 0.018305 | 0.178785 | 9,380 | 301 | 151 | 31.162791 | 0.809555 | 0.042111 | 0 | 0.198157 | 0 | 0 | 0.179058 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009217 | false | 0.009217 | 0.119816 | 0 | 0.133641 | 0.276498 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05d5479edfdc67ed72d1fed7ba706e163051f970 | 5,953 | py | Python | neutron/tests/fullstack/test_firewall.py | knodir/neutron | ac4e28478ac8a8a0c9f5c5785f6a6bcf532c66b8 | [
"Apache-2.0"
] | 1 | 2018-10-19T01:48:37.000Z | 2018-10-19T01:48:37.000Z | neutron/tests/fullstack/test_firewall.py | knodir/neutron | ac4e28478ac8a8a0c9f5c5785f6a6bcf532c66b8 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | neutron/tests/fullstack/test_firewall.py | knodir/neutron | ac4e28478ac8a8a0c9f5c5785f6a6bcf532c66b8 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # Copyright 2018 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 38.908497 | 79 | 0.666891 | 702 | 5,953 | 5.433048 | 0.340456 | 0.028841 | 0.029366 | 0.020975 | 0.186418 | 0.153907 | 0.099895 | 0.073676 | 0.073676 | 0.073676 | 0 | 0.006567 | 0.258189 | 5,953 | 152 | 80 | 39.164474 | 0.857111 | 0.199731 | 0 | 0.173077 | 0 | 0 | 0.055556 | 0 | 0 | 0 | 0 | 0.006579 | 0.019231 | 1 | 0.057692 | false | 0.019231 | 0.125 | 0 | 0.221154 | 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 |
05d679b96fcc27f56541b2f87e6ba4b22f90adbe | 709 | py | Python | Analysis/pdf_to_txt.py | ashishnitinpatil/resanalysersite | 0604d2fed4760be741c4d90b6d230d0f2cd8bf9e | [
"CC-BY-4.0"
] | null | null | null | Analysis/pdf_to_txt.py | ashishnitinpatil/resanalysersite | 0604d2fed4760be741c4d90b6d230d0f2cd8bf9e | [
"CC-BY-4.0"
] | null | null | null | Analysis/pdf_to_txt.py | ashishnitinpatil/resanalysersite | 0604d2fed4760be741c4d90b6d230d0f2cd8bf9e | [
"CC-BY-4.0"
] | null | null | null | from pdfminer.pdfinterp import PDFResourceManager, process_pdf
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from cStringIO import StringIO
def convert_pdf(path):
rsrcmgr = PDFResourceManager()
retstr = StringIO()
codec = 'utf-8'
laparams = LAParams()
device = T... | 27.269231 | 83 | 0.712271 | 87 | 709 | 5.735632 | 0.482759 | 0.072144 | 0.044088 | 0.072144 | 0.136273 | 0.136273 | 0 | 0 | 0 | 0 | 0 | 0.001692 | 0.166432 | 709 | 25 | 84 | 28.36 | 0.84264 | 0 | 0 | 0 | 0 | 0 | 0.146685 | 0.090268 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.210526 | 0 | 0.315789 | 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 |
05d6c824429b4f5fccdfe1433815eb6c96e18c8f | 480 | py | Python | local/handler/TravisHandler.py | fasterit/supybot-github | 37b80046c0f0d5a66b2107a63e380002adbb66f5 | [
"MIT"
] | 7 | 2016-07-16T22:16:37.000Z | 2021-06-14T20:45:37.000Z | local/handler/TravisHandler.py | fasterit/supybot-github | 37b80046c0f0d5a66b2107a63e380002adbb66f5 | [
"MIT"
] | 30 | 2015-06-03T22:40:28.000Z | 2022-02-11T08:49:44.000Z | local/handler/TravisHandler.py | fasterit/supybot-github | 37b80046c0f0d5a66b2107a63e380002adbb66f5 | [
"MIT"
] | 5 | 2018-01-12T21:28:50.000Z | 2020-10-01T13:44:09.000Z | from ..utility import *
def handle(data, theme):
if isStatusVisible(data['repository']['url'], data['status_message'].lower()):
theme.travis(
branch = data['branch'],
repo = data['repository']['name'],
status = data['status_message'],
commitId = data['commit'... | 34.285714 | 82 | 0.554167 | 44 | 480 | 5.954545 | 0.590909 | 0.10687 | 0.129771 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2875 | 480 | 13 | 83 | 36.923077 | 0.766082 | 0 | 0 | 0 | 0 | 0 | 0.195833 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05e10cbd60c9a8c4e9d6e849c57e56e13a3dc1f5 | 3,596 | py | Python | Code/network_model_HiCoDe.py | AbinavRavi/Network_Analysis_Eur_Parl | dea84d3375eea07676e0193d575e3deef76312bc | [
"MIT"
] | 1 | 2020-12-15T16:35:20.000Z | 2020-12-15T16:35:20.000Z | Code/network_model_HiCoDe.py | AbinavRavi/Network_Analysis_Eur_Parl | dea84d3375eea07676e0193d575e3deef76312bc | [
"MIT"
] | null | null | null | Code/network_model_HiCoDe.py | AbinavRavi/Network_Analysis_Eur_Parl | dea84d3375eea07676e0193d575e3deef76312bc | [
"MIT"
] | null | null | null | import numpy as np
import scipy as sp
import pandas as pd
import ast
import itertools
from itertools import product
from collections import Counter
import networkx as nx
import network_utils as nu
import hicode as hc
import matplotlib.pyplot as plt
import matplotlib.cm as cm
plt.style.use('classic')
# ------------... | 38.666667 | 121 | 0.547553 | 464 | 3,596 | 4.181034 | 0.331897 | 0.046392 | 0.010309 | 0.014433 | 0.121134 | 0.062371 | 0.039691 | 0.029897 | 0 | 0 | 0 | 0.02883 | 0.170467 | 3,596 | 92 | 122 | 39.086957 | 0.621522 | 0.449944 | 0 | 0 | 0 | 0 | 0.09928 | 0.037037 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.244898 | 0 | 0.244898 | 0.020408 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05e5ab63cfbf61b1260c3430dac86bcf4cae1b06 | 17,452 | py | Python | prompt_tuning/data/super_glue.py | techthiyanes/prompt-tuning | 9f4d7082aa6dbd955e38488d6d3fa5a7c039f6c7 | [
"Apache-2.0"
] | 108 | 2021-11-05T21:44:27.000Z | 2022-03-31T14:19:30.000Z | prompt_tuning/data/super_glue.py | techthiyanes/prompt-tuning | 9f4d7082aa6dbd955e38488d6d3fa5a7c039f6c7 | [
"Apache-2.0"
] | 172 | 2022-02-01T00:08:39.000Z | 2022-03-31T12:44:07.000Z | prompt_tuning/data/super_glue.py | dumpmemory/prompt-tuning | bac77e4f5107b4a89f89c49b14d8fe652b1c5734 | [
"Apache-2.0"
] | 9 | 2022-01-16T11:55:18.000Z | 2022-03-06T23:26:36.000Z | # Copyright 2022 Google.
#
# 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, soft... | 42.77451 | 80 | 0.67276 | 2,154 | 17,452 | 5.16156 | 0.160631 | 0.050998 | 0.03274 | 0.042094 | 0.664238 | 0.632218 | 0.604965 | 0.586167 | 0.565839 | 0.54812 | 0 | 0.021744 | 0.246333 | 17,452 | 407 | 81 | 42.879607 | 0.823538 | 0.253725 | 0 | 0.693603 | 0 | 0 | 0.203536 | 0.174118 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.047138 | 0 | 0.047138 | 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 |
05e5bab9ff77cdee550c0152d15077d78e190eff | 952 | py | Python | src/runtime/tasks.py | HitLuca/predict-python | 14f2f55cb29f817a5871d4c0b11a3758285301ca | [
"MIT"
] | null | null | null | src/runtime/tasks.py | HitLuca/predict-python | 14f2f55cb29f817a5871d4c0b11a3758285301ca | [
"MIT"
] | null | null | null | src/runtime/tasks.py | HitLuca/predict-python | 14f2f55cb29f817a5871d4c0b11a3758285301ca | [
"MIT"
] | null | null | null | from django_rq.decorators import job
from src.core.core import runtime_calculate
from src.jobs.models import JobStatuses
from src.jobs.ws_publisher import publish
from src.logs.models import Log
from src.utils.file_service import get_log
@job("default", timeout='1h')
def runtime_task(job, model):
print("Start ru... | 30.709677 | 65 | 0.657563 | 129 | 952 | 4.682171 | 0.44186 | 0.057947 | 0.099338 | 0.043046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001364 | 0.230042 | 952 | 30 | 66 | 31.733333 | 0.822647 | 0 | 0 | 0.074074 | 0 | 0 | 0.057773 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.222222 | 0 | 0.259259 | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05ec45e9e0486f8c0920e8e4a6acabaf4897caee | 417 | py | Python | ch3/ricolisp/token.py | unoti/rico-lisp | 367f625dcd086e207515bdeb5561763754a3531c | [
"MIT"
] | null | null | null | ch3/ricolisp/token.py | unoti/rico-lisp | 367f625dcd086e207515bdeb5561763754a3531c | [
"MIT"
] | null | null | null | ch3/ricolisp/token.py | unoti/rico-lisp | 367f625dcd086e207515bdeb5561763754a3531c | [
"MIT"
] | null | null | null | from collections import UserString
from typing import List
class Token(UserString):
"""A string that has additional information about the source code for the string."""
def __init__(self, s: str, line_number:int, character_number: int, filename: str = None):
super().__init__(s)
self.line_numbe... | 37.909091 | 93 | 0.717026 | 54 | 417 | 5.277778 | 0.574074 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.203837 | 417 | 11 | 94 | 37.909091 | 0.858434 | 0.18705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05ed3bd6a82da190685915c3b42fde3a3b5e118a | 2,655 | py | Python | utils.py | ali-ramadhan/wxConch | 1106ce17d25f96a038ca784029261faafd7cfaf9 | [
"MIT"
] | 1 | 2019-03-09T01:10:59.000Z | 2019-03-09T01:10:59.000Z | utils.py | ali-ramadhan/weather-prediction-model-consensus | 1106ce17d25f96a038ca784029261faafd7cfaf9 | [
"MIT"
] | 1 | 2019-08-19T12:26:06.000Z | 2019-08-19T12:26:06.000Z | utils.py | ali-ramadhan/weather-prediction-model-consensus | 1106ce17d25f96a038ca784029261faafd7cfaf9 | [
"MIT"
] | null | null | null | import os
import time
import math
import logging.config
from datetime import datetime
from subprocess import run
from urllib.request import urlopen, urlretrieve
from urllib.parse import urlparse, urljoin
import smtplib, ssl
from os.path import basename
from email.mime.application import MIMEApplication
from email.mime... | 28.858696 | 98 | 0.680979 | 362 | 2,655 | 4.878453 | 0.428177 | 0.023783 | 0.02265 | 0.030578 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008407 | 0.193597 | 2,655 | 91 | 99 | 29.175824 | 0.816441 | 0.06403 | 0 | 0 | 0 | 0 | 0.121872 | 0.010492 | 0 | 0 | 0 | 0 | 0.016667 | 1 | 0.083333 | false | 0.033333 | 0.25 | 0.016667 | 0.383333 | 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 |
05f2bf19df0a5655faf30da01ad995b33a5ff920 | 4,674 | py | Python | create_multi_langs/command_line.py | mychiux413/ConstConv | 6c2190d1bb37ae5cfef8464f88371db97719b032 | [
"MIT"
] | null | null | null | create_multi_langs/command_line.py | mychiux413/ConstConv | 6c2190d1bb37ae5cfef8464f88371db97719b032 | [
"MIT"
] | null | null | null | create_multi_langs/command_line.py | mychiux413/ConstConv | 6c2190d1bb37ae5cfef8464f88371db97719b032 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import absolute_import
from create_multi_langs.creater.go import CreaterGo
from create_multi_langs.creater.python import CreaterPython
from create_multi_langs.creater.python_typing import CreaterPythonTyping
from create_multi_langs.creater.typescript_backend import CreaterTypeScrip... | 37.095238 | 99 | 0.627942 | 566 | 4,674 | 4.952297 | 0.273852 | 0.069925 | 0.070639 | 0.049946 | 0.251873 | 0.224402 | 0.166964 | 0.052801 | 0 | 0 | 0 | 0.006657 | 0.260804 | 4,674 | 125 | 100 | 37.392 | 0.804631 | 0.0184 | 0 | 0.109091 | 0 | 0 | 0.214582 | 0.024012 | 0 | 0 | 0 | 0 | 0.018182 | 1 | 0.018182 | false | 0 | 0.118182 | 0 | 0.136364 | 0.063636 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05f359b7dd7f8c17e74d1e4576ab789a5ca9047c | 297 | py | Python | test_resources/run_tests.py | tud-python-courses/lesson-builder | 11b1cc958723e9f75de27cde68daa0fdc18b929f | [
"MIT"
] | null | null | null | test_resources/run_tests.py | tud-python-courses/lesson-builder | 11b1cc958723e9f75de27cde68daa0fdc18b929f | [
"MIT"
] | null | null | null | test_resources/run_tests.py | tud-python-courses/lesson-builder | 11b1cc958723e9f75de27cde68daa0fdc18b929f | [
"MIT"
] | null | null | null | __author__ = 'Justus Adam'
__version__ = '0.1'
def main():
import unittest
import sys
import os
m = os.path.dirname(__file__)
sys.path = [m, os.path.split(m)[0]] + sys.path
import test
unittest.main(test)
if __name__ == '__main__':
main()
else:
del main | 13.5 | 50 | 0.606061 | 41 | 297 | 3.902439 | 0.536585 | 0.0375 | 0.0875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 0.262626 | 297 | 22 | 51 | 13.5 | 0.716895 | 0 | 0 | 0 | 0 | 0 | 0.073826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05fd8b2f68e0ad751b568376c91ded4488f3dd84 | 55,975 | py | Python | cc_bm_parallel_pyr_dev.py | xdenisx/ice_drift_pc_ncc | f2992329e8509dafcd37596271e80cbf652d14cb | [
"MIT"
] | 3 | 2021-11-10T04:03:10.000Z | 2022-02-27T10:36:02.000Z | cc_bm_parallel_pyr_dev.py | xdenisx/ice_drift_pc_ncc | f2992329e8509dafcd37596271e80cbf652d14cb | [
"MIT"
] | 1 | 2021-10-12T17:29:53.000Z | 2021-10-12T17:29:53.000Z | cc_bm_parallel_pyr_dev.py | xdenisx/ice_drift_pc_ncc | f2992329e8509dafcd37596271e80cbf652d14cb | [
"MIT"
] | null | null | null | import matplotlib
matplotlib.use('Agg')
# coding: utf-8
#
# Ice drift retrieval algorithm based on [1] from a pair of SAR images
# [1] J. P. Lewis, "Fast Normalized Cross-Correlation", Industrial Light and Magic.
#
##################################################
# Last modification: 22 July, 2019
# TODO:
# 1) Pyrami... | 35.517132 | 716 | 0.553318 | 7,716 | 55,975 | 3.864567 | 0.136599 | 0.004762 | 0.003521 | 0.009055 | 0.404004 | 0.341326 | 0.319528 | 0.301653 | 0.271706 | 0.265904 | 0 | 0.040175 | 0.285395 | 55,975 | 1,576 | 717 | 35.517132 | 0.7053 | 0.212595 | 0 | 0.263091 | 0 | 0.003831 | 0.06319 | 0.009492 | 0 | 0 | 0 | 0.004442 | 0.002554 | 1 | 0.033206 | false | 0.00894 | 0.05364 | 0 | 0.11622 | 0.042146 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
05fe79efe59900fb39e193105ec376940b5bbe44 | 426 | py | Python | tests/test_version.py | hsh-nids/python-betterproto | f5d3b48b1aa49fd64513907ed70124b32758ad3e | [
"MIT"
] | 708 | 2019-10-11T06:23:40.000Z | 2022-03-31T09:39:08.000Z | tests/test_version.py | hsh-nids/python-betterproto | f5d3b48b1aa49fd64513907ed70124b32758ad3e | [
"MIT"
] | 302 | 2019-11-11T22:09:21.000Z | 2022-03-29T11:21:04.000Z | tests/test_version.py | hsh-nids/python-betterproto | f5d3b48b1aa49fd64513907ed70124b32758ad3e | [
"MIT"
] | 122 | 2019-12-04T16:22:53.000Z | 2022-03-20T09:31:10.000Z | from betterproto import __version__
from pathlib import Path
import tomlkit
PROJECT_TOML = Path(__file__).joinpath("..", "..", "pyproject.toml").resolve()
def test_version():
with PROJECT_TOML.open() as toml_file:
project_config = tomlkit.loads(toml_file.read())
assert (
__version__ == projec... | 30.428571 | 78 | 0.706573 | 51 | 426 | 5.529412 | 0.568627 | 0.078014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164319 | 426 | 13 | 79 | 32.769231 | 0.792135 | 0 | 0 | 0 | 0 | 0 | 0.21831 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.1 | false | 0 | 0.3 | 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 |
af029a134b4e84a7dca43a17a1ce48c9d78abdd2 | 9,722 | py | Python | Models.py | BradHend/machine_learning_from_scratch | 6c83f17d1c48da9ad3df902b3090a8cb2c544f15 | [
"MIT"
] | null | null | null | Models.py | BradHend/machine_learning_from_scratch | 6c83f17d1c48da9ad3df902b3090a8cb2c544f15 | [
"MIT"
] | null | null | null | Models.py | BradHend/machine_learning_from_scratch | 6c83f17d1c48da9ad3df902b3090a8cb2c544f15 | [
"MIT"
] | null | null | null | """classes and methods for different model architectures
"""
#python packages
import numpy as np
# Machine Learning from Scratch packages
from Layers import FullyConnected
from utils.optimizers import *
class NeuralNet():
"""
Linear stack of layers.
"""
def __init__(self, layers=None):
# Add ... | 40.508333 | 123 | 0.54783 | 1,081 | 9,722 | 4.825162 | 0.236818 | 0.02684 | 0.02454 | 0.012462 | 0.151074 | 0.090107 | 0.082055 | 0.079563 | 0.079563 | 0.079563 | 0 | 0.015425 | 0.373174 | 9,722 | 240 | 124 | 40.508333 | 0.840499 | 0.337071 | 0 | 0.19685 | 0 | 0 | 0.038576 | 0.015826 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062992 | false | 0.015748 | 0.023622 | 0 | 0.133858 | 0.047244 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af055ba7a6d6cbe2445070c4e478e7e26c56dad3 | 1,724 | py | Python | ipmi_power_manager.py | spirkaa/ansible-homelab | 94138c85ddb132a08dab55b4e9a9b43160d02c76 | [
"MIT"
] | null | null | null | ipmi_power_manager.py | spirkaa/ansible-homelab | 94138c85ddb132a08dab55b4e9a9b43160d02c76 | [
"MIT"
] | null | null | null | ipmi_power_manager.py | spirkaa/ansible-homelab | 94138c85ddb132a08dab55b4e9a9b43160d02c76 | [
"MIT"
] | null | null | null | import argparse
import logging
import os
import requests
import urllib3
from dotenv import load_dotenv
logger = logging.getLogger("__name__")
logging.basicConfig(
format="%(asctime)s [%(levelname)8s] [%(name)s:%(lineno)s:%(funcName)20s()] --- %(message)s",
level=logging.INFO,
)
logging.getLogger("... | 28.262295 | 101 | 0.728538 | 226 | 1,724 | 5.323009 | 0.411504 | 0.108063 | 0.049875 | 0.0665 | 0.176226 | 0.099751 | 0.099751 | 0.099751 | 0.099751 | 0.099751 | 0 | 0.005319 | 0.12761 | 1,724 | 60 | 102 | 28.733333 | 0.794548 | 0 | 0 | 0.045455 | 0 | 0.022727 | 0.283643 | 0.074246 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0.045455 | 0.136364 | 0 | 0.204545 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af05ab26695bad32472af5a5dde8334bddbea53d | 1,572 | py | Python | pyhsi/gui/graphics.py | rddunphy/pyHSI | b55c2a49568e04e0a2fb39da01cfe1f129bc86a4 | [
"MIT"
] | null | null | null | pyhsi/gui/graphics.py | rddunphy/pyHSI | b55c2a49568e04e0a2fb39da01cfe1f129bc86a4 | [
"MIT"
] | null | null | null | pyhsi/gui/graphics.py | rddunphy/pyHSI | b55c2a49568e04e0a2fb39da01cfe1f129bc86a4 | [
"MIT"
] | null | null | null | """Stuff to do with processing images and loading icons"""
import importlib.resources as res
import cv2
import PySimpleGUI as sg
def get_application_icon():
"""Get the PyHSI icon for this OS (.ico for Windows, .png otherwise)"""
return res.read_binary("pyhsi.gui.icons", "pyhsi.png")
def get_icon(icon_name... | 31.44 | 83 | 0.667939 | 247 | 1,572 | 4.052632 | 0.368421 | 0.047952 | 0.064935 | 0.044955 | 0.20979 | 0.18981 | 0.18981 | 0 | 0 | 0 | 0 | 0.020048 | 0.206743 | 1,572 | 49 | 84 | 32.081633 | 0.782678 | 0.176209 | 0 | 0.129032 | 0 | 0 | 0.056962 | 0.016614 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16129 | false | 0 | 0.096774 | 0 | 0.387097 | 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 |
af0729cb1679e26625740cd816c3bcd5296cbb19 | 315 | py | Python | configs/densenet169_lr_0.001.py | FeiYuejiao/NLP_Pretrain | 7aa4693c31a7bba9b90f401d2586ef154dd7fb81 | [
"MIT"
] | null | null | null | configs/densenet169_lr_0.001.py | FeiYuejiao/NLP_Pretrain | 7aa4693c31a7bba9b90f401d2586ef154dd7fb81 | [
"MIT"
] | 1 | 2020-12-30T13:49:29.000Z | 2020-12-30T13:49:29.000Z | configs/densenet169_lr_0.001.py | FeiYuejiao/NLP_Pretrain | 7aa4693c31a7bba9b90f401d2586ef154dd7fb81 | [
"MIT"
] | null | null | null | lr = 0.001
model_path = 'model/IC_models/densenet169_lr_0.001/'
crop_size = 32
log_step = 10
save_step = 500
num_epochs = 400
batch_size = 256
num_workers = 8
loading = False
# lr
# Model parameters
model = dict(
net='densenet169',
embed_size=256,
hidden_size=512,
num_layers=1,
resnet=101
)
| 14.318182 | 52 | 0.695238 | 50 | 315 | 4.12 | 0.7 | 0.029126 | 0.058252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151394 | 0.203175 | 315 | 21 | 53 | 15 | 0.669323 | 0.060317 | 0 | 0 | 0 | 0 | 0.163823 | 0.12628 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
af08ea1d739ab24c301e649fcfca7bffa176fb4c | 3,750 | py | Python | src/models/metapop.py | TLouf/multiling-twitter | 9a39b5b70da53ca717cb74480697f3756a95b8e4 | [
"RSA-MD"
] | 1 | 2021-05-09T15:42:04.000Z | 2021-05-09T15:42:04.000Z | src/models/metapop.py | TLouf/multiling-twitter | 9a39b5b70da53ca717cb74480697f3756a95b8e4 | [
"RSA-MD"
] | 3 | 2020-10-21T09:04:03.000Z | 2021-06-02T02:05:13.000Z | src/models/metapop.py | TLouf/multiling-twitter | 9a39b5b70da53ca717cb74480697f3756a95b8e4 | [
"RSA-MD"
] | null | null | null | '''
Implements the computation of the time derivatives and associated Jacobian
corresponding to the approximated equations in a metapopulation. Added kwargs in
every function so that we may reuse the parameter dictionary used in the models,
even if some of the parameters it contains are not used in these functions.
'''... | 37.128713 | 80 | 0.553333 | 788 | 3,750 | 2.350254 | 0.135787 | 0.066415 | 0.086393 | 0.040497 | 0.711123 | 0.686825 | 0.660907 | 0.643089 | 0.524838 | 0.512419 | 0 | 0.02466 | 0.275467 | 3,750 | 100 | 81 | 37.5 | 0.656975 | 0.2224 | 0 | 0.463768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.014493 | 0 | 0.101449 | 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 |
af0ab77a97059c19f88a0b36ce01422819f17356 | 2,174 | py | Python | tests/app/dao/test_marketings_dao.py | kentsanggds/api | 651cdf7d496690722d6a4f5b51f04f4be97899d4 | [
"MIT"
] | 1 | 2018-10-12T15:04:31.000Z | 2018-10-12T15:04:31.000Z | tests/app/dao/test_marketings_dao.py | kentsanggds/api | 651cdf7d496690722d6a4f5b51f04f4be97899d4 | [
"MIT"
] | 169 | 2017-11-07T00:45:25.000Z | 2022-03-12T00:08:59.000Z | tests/app/dao/test_marketings_dao.py | kentsanggds/api | 651cdf7d496690722d6a4f5b51f04f4be97899d4 | [
"MIT"
] | 1 | 2019-08-15T14:51:31.000Z | 2019-08-15T14:51:31.000Z | from sqlalchemy.exc import IntegrityError
import pytest
from app.dao.marketings_dao import (
dao_update_marketing, dao_get_marketing_by_id, dao_get_marketings
)
from app.models import Marketing
from tests.db import create_marketing
class WhenUsingMarketingsDAO(object):
def it_creates_an_marketing(self, db_... | 38.821429 | 95 | 0.75069 | 258 | 2,174 | 5.996124 | 0.228682 | 0.063995 | 0.048481 | 0.077569 | 0.411118 | 0.35488 | 0.215255 | 0.180995 | 0 | 0 | 0 | 0.001659 | 0.168353 | 2,174 | 55 | 96 | 39.527273 | 0.853982 | 0 | 0 | 0.054054 | 0 | 0 | 0.030359 | 0 | 0 | 0 | 0 | 0 | 0.189189 | 1 | 0.162162 | 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 |
af0ac97f6ae7709623b9997f5f301e7547049b9a | 14,898 | py | Python | tracetools_analysis/tracetools_analysis/data_model/ros2.py | christophebedard/tracetools_analysis | 1dfb747b62311ee370ed392a0ad4a5cd2d11d3be | [
"Apache-2.0"
] | 6 | 2020-04-02T21:10:09.000Z | 2021-06-07T06:56:16.000Z | tracetools_analysis/tracetools_analysis/data_model/ros2.py | christophebedard/tracetools_analysis | 1dfb747b62311ee370ed392a0ad4a5cd2d11d3be | [
"Apache-2.0"
] | null | null | null | tracetools_analysis/tracetools_analysis/data_model/ros2.py | christophebedard/tracetools_analysis | 1dfb747b62311ee370ed392a0ad4a5cd2d11d3be | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Robert Bosch GmbH
# Copyright 2020-2021 Christophe Bedard
#
# 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 requir... | 37.716456 | 94 | 0.631293 | 1,521 | 14,898 | 5.884287 | 0.122288 | 0.018771 | 0.036872 | 0.046704 | 0.433743 | 0.335978 | 0.255978 | 0.169609 | 0.143017 | 0.09743 | 0 | 0.002364 | 0.261847 | 14,898 | 394 | 95 | 37.812183 | 0.811494 | 0.066251 | 0 | 0.389381 | 0 | 0 | 0.109636 | 0.006997 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073746 | false | 0 | 0.011799 | 0 | 0.088496 | 0.20059 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af0d81f9655852ff10a8be8a0499f540fd5bf5d2 | 1,543 | py | Python | setup.py | KunihikoKido/elasticsearch-fabric | 5dea163b455f954d31dc685cf2b4fec077aee50a | [
"MIT"
] | 10 | 2016-12-17T03:37:43.000Z | 2019-09-09T23:00:40.000Z | setup.py | KunihikoKido/elasticsearch-fabric | 5dea163b455f954d31dc685cf2b4fec077aee50a | [
"MIT"
] | null | null | null | setup.py | KunihikoKido/elasticsearch-fabric | 5dea163b455f954d31dc685cf2b4fec077aee50a | [
"MIT"
] | null | null | null | # coding=utf-8
import os
from distutils.spawn import find_executable
from setuptools import setup, find_packages
import sys
sys.path.append('./test')
from esfabric import __version__
with open(os.path.join(os.path.dirname(__file__), 'README.md')) as readme:
README = readme.read()
if os.path.exists(os.path.join... | 32.829787 | 101 | 0.695399 | 182 | 1,543 | 5.697802 | 0.510989 | 0.052073 | 0.038573 | 0.046287 | 0.196721 | 0.150434 | 0.150434 | 0.150434 | 0.150434 | 0.079074 | 0 | 0.002338 | 0.168503 | 1,543 | 46 | 102 | 33.543478 | 0.805924 | 0.007777 | 0 | 0.052632 | 0 | 0 | 0.35448 | 0.014388 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.131579 | 0 | 0.131579 | 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 |
af16c33bdba13b28d77f33ac28f80dcfc81a9c64 | 11,704 | py | Python | bin/server.py | tolstoyevsky/blackmagic | 0be5f041cbd42d9fb140957f0946d0ac7cb68848 | [
"Apache-2.0"
] | null | null | null | bin/server.py | tolstoyevsky/blackmagic | 0be5f041cbd42d9fb140957f0946d0ac7cb68848 | [
"Apache-2.0"
] | 3 | 2018-12-08T16:51:11.000Z | 2020-10-16T09:39:00.000Z | bin/server.py | tolstoyevsky/blackmagic | 0be5f041cbd42d9fb140957f0946d0ac7cb68848 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import logging
import os
import os.path
import tornado.web
import tornado.options
from appleseed import AlpineIndexFile, DebianIndexFile
from cdtz import set_time_zone
from motor import MotorClient
from shirow.ioloop import IOLoop
from shirow.server import RPCServer, TOKEN_PATTERN, remote
from t... | 32.242424 | 102 | 0.655161 | 1,369 | 11,704 | 5.293645 | 0.178232 | 0.034497 | 0.038637 | 0.053953 | 0.411481 | 0.366634 | 0.287843 | 0.22837 | 0.194977 | 0.13785 | 0 | 0.002174 | 0.253161 | 11,704 | 362 | 103 | 32.331492 | 0.826908 | 0.026828 | 0 | 0.263345 | 0 | 0 | 0.063527 | 0.002109 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017794 | false | 0.02847 | 0.067616 | 0 | 0.103203 | 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 |
af1703462ef77f78c9cf88e812154fcfc28474a9 | 2,318 | py | Python | postgres_audit_triggers/operations.py | carta/postgres_audit_triggers | fece63c5ad2924ff5e2aeb38d7bbd5bee6e6547c | [
"MIT"
] | 23 | 2018-03-26T11:18:03.000Z | 2020-12-28T05:11:04.000Z | postgres_audit_triggers/operations.py | carta/postgres_audit_triggers | fece63c5ad2924ff5e2aeb38d7bbd5bee6e6547c | [
"MIT"
] | 1 | 2019-02-13T23:58:53.000Z | 2020-07-01T18:16:13.000Z | postgres_audit_triggers/operations.py | carta/postgres_audit_triggers | fece63c5ad2924ff5e2aeb38d7bbd5bee6e6547c | [
"MIT"
] | 3 | 2019-03-26T15:50:38.000Z | 2021-03-05T00:27:53.000Z | from django.db.migrations.operations.base import Operation
from django.utils.functional import cached_property
__all__ = (
'AddAuditTrigger',
'RemoveAuditTrigger',
)
class AddAuditTrigger(Operation):
reduces_to_sql = True
reversible = True
option_name = 'audit_trigger'
enabled = True
de... | 30.103896 | 75 | 0.654875 | 276 | 2,318 | 5.199275 | 0.264493 | 0.061324 | 0.058537 | 0.083624 | 0.478049 | 0.478049 | 0.441812 | 0.394425 | 0.394425 | 0.34216 | 0 | 0.000575 | 0.249353 | 2,318 | 76 | 76 | 30.5 | 0.824138 | 0 | 0 | 0.377049 | 0 | 0 | 0.10742 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147541 | false | 0 | 0.032787 | 0.04918 | 0.344262 | 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 |
af190a09ca44bce44b5b0163ba1e2eceb805790a | 18,922 | py | Python | tests/unit/test_infra_communication.py | gauthier-emse/pyDcop | a51cc3f7d8ef9ee1f863beeca4ad60490862d2ed | [
"BSD-3-Clause"
] | 28 | 2018-05-18T10:25:58.000Z | 2022-03-05T16:24:15.000Z | tests/unit/test_infra_communication.py | gauthier-emse/pyDcop | a51cc3f7d8ef9ee1f863beeca4ad60490862d2ed | [
"BSD-3-Clause"
] | 19 | 2018-09-21T21:50:15.000Z | 2022-02-22T20:23:32.000Z | tests/unit/test_infra_communication.py | gauthier-emse/pyDcop | a51cc3f7d8ef9ee1f863beeca4ad60490862d2ed | [
"BSD-3-Clause"
] | 17 | 2018-05-29T19:54:07.000Z | 2022-02-22T20:14:46.000Z | # BSD-3-Clause License
#
# Copyright 2017 Orange
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the followi... | 37.395257 | 80 | 0.63228 | 2,299 | 18,922 | 4.977381 | 0.132231 | 0.072184 | 0.07096 | 0.011011 | 0.690378 | 0.65752 | 0.623962 | 0.567596 | 0.548895 | 0.513764 | 0 | 0.046368 | 0.245481 | 18,922 | 505 | 81 | 37.469307 | 0.755131 | 0.111933 | 0 | 0.530792 | 0 | 0 | 0.075289 | 0 | 0 | 0 | 0 | 0 | 0.11437 | 1 | 0.099707 | false | 0 | 0.032258 | 0 | 0.152493 | 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 |