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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b317eed8bc3c7f37020ba36b17b2500b5686a571 | 4,433 | py | Python | clifford/taylor_expansions.py | tBuLi/clifford | 31651d095834ad4c2c5da0692414b55c88823840 | [
"BSD-3-Clause"
] | 21 | 2015-03-21T14:20:29.000Z | 2020-04-20T02:12:03.000Z | clifford/taylor_expansions.py | tBuLi/clifford | 31651d095834ad4c2c5da0692414b55c88823840 | [
"BSD-3-Clause"
] | 13 | 2016-09-01T11:58:24.000Z | 2017-11-19T17:01:51.000Z | clifford/taylor_expansions.py | tBuLi/clifford | 31651d095834ad4c2c5da0692414b55c88823840 | [
"BSD-3-Clause"
] | 7 | 2016-08-31T16:19:42.000Z | 2017-11-16T17:27:45.000Z | """
.. currentmodule:: clifford.taylor_expansions
=====================================================
taylor_expansions (:mod:`clifford.taylor_expansions`)
=====================================================
.. versionadded:: 1.4.0
This file implements various Taylor expansions for useful functions of multivecto... | 26.866667 | 109 | 0.606361 | 667 | 4,433 | 3.95952 | 0.226387 | 0.0727 | 0.037486 | 0.05301 | 0.491102 | 0.455509 | 0.455509 | 0.455509 | 0.455509 | 0.380538 | 0 | 0.033261 | 0.267539 | 4,433 | 164 | 110 | 27.030488 | 0.780105 | 0.554252 | 0 | 0.455882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102941 | false | 0 | 0.058824 | 0 | 0.279412 | 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 |
b318fb68451b5682ff5190f3321869e6da4e8c1a | 2,521 | py | Python | month05/Spider/Tecent/Tecent/spiders/tencent.py | chaofan-zheng/python_learning_code | 5d05848911d55aa49eaee4afd7ffd80536fad7aa | [
"Apache-2.0"
] | null | null | null | month05/Spider/Tecent/Tecent/spiders/tencent.py | chaofan-zheng/python_learning_code | 5d05848911d55aa49eaee4afd7ffd80536fad7aa | [
"Apache-2.0"
] | null | null | null | month05/Spider/Tecent/Tecent/spiders/tencent.py | chaofan-zheng/python_learning_code | 5d05848911d55aa49eaee4afd7ffd80536fad7aa | [
"Apache-2.0"
] | null | null | null | import json
import scrapy
import time
import requests
from ..items import TecentItem
class TencentSpider(scrapy.Spider):
name = 'tencent'
allowed_domains = ['careers.tencent.com']
first_url = 'https://careers.tencent.com/tencentcareer/api/post/Query?timestamp={}&countryId=&cityId=&bgIds=&productId=&cate... | 42.016667 | 219 | 0.659262 | 310 | 2,521 | 5.23871 | 0.367742 | 0.038793 | 0.073276 | 0.090517 | 0.21367 | 0.1367 | 0.100985 | 0.055419 | 0 | 0 | 0 | 0.022102 | 0.192384 | 2,521 | 59 | 220 | 42.728814 | 0.77554 | 0.011503 | 0 | 0.042553 | 0 | 0.06383 | 0.270281 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106383 | false | 0 | 0.106383 | 0 | 0.382979 | 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 |
b31b96b0f97a4a311c4207315ff1606066d471f8 | 837 | py | Python | scripts/plot_discuss_features.py | WEgeophysics/watex | 21616ce35372a095c3dd624f82a5282b15cb2c91 | [
"MIT"
] | 3 | 2021-06-19T02:16:46.000Z | 2021-07-16T15:56:49.000Z | scripts/plot_discuss_features.py | WEgeophysics/watex | 21616ce35372a095c3dd624f82a5282b15cb2c91 | [
"MIT"
] | null | null | null | scripts/plot_discuss_features.py | WEgeophysics/watex | 21616ce35372a095c3dd624f82a5282b15cb2c91 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 8 09:04:27 2021
@author: @Daniel03
"""
from watex.viewer.plot import QuickPlot
# path to dataset
# data_fn = 'data/geo_fdata/BagoueDataset2.xlsx'
data_fn ='data/geo_fdata/main.bagciv.data2.csv'
# set figure title
fig_title= '`sfi` vs`ohmS|`geol`'
# list of feature... | 22.026316 | 57 | 0.57945 | 100 | 837 | 4.69 | 0.64 | 0.051173 | 0.063966 | 0.055437 | 0.076759 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033727 | 0.291517 | 837 | 37 | 58 | 22.621622 | 0.757167 | 0.285544 | 0 | 0 | 0 | 0 | 0.183533 | 0.06175 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 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 |
b31be5d103cfb9e8ae792650af1addd027a89193 | 309 | py | Python | main/Customer/urls.py | VikasSherawat/OrderFood | 1c9b67d48f3add57053b50b8a07695016fe2bb4a | [
"MIT"
] | null | null | null | main/Customer/urls.py | VikasSherawat/OrderFood | 1c9b67d48f3add57053b50b8a07695016fe2bb4a | [
"MIT"
] | 4 | 2020-02-11T21:44:22.000Z | 2021-06-10T17:28:46.000Z | main/Customer/urls.py | VikasSherawat/OrderFood | 1c9b67d48f3add57053b50b8a07695016fe2bb4a | [
"MIT"
] | 1 | 2017-03-13T04:21:49.000Z | 2017-03-13T04:21:49.000Z | from django.conf.urls import url
from . import views
app_name = 'customer'
urlpatterns = [
# url(r'^$', views.index, name='index'),
url(r'^fooditems/(?P<shop_id>[0-9]+)/$', views.fooditems, name="fooditems"),
url(r'^buyitem/(?P<fooditem_id>[0-9]+)/$', views.buy_fooditem, name="buy_fooditem")
] | 28.090909 | 87 | 0.647249 | 45 | 309 | 4.333333 | 0.488889 | 0.061538 | 0.041026 | 0.092308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014815 | 0.126214 | 309 | 11 | 88 | 28.090909 | 0.707407 | 0.122977 | 0 | 0 | 0 | 0 | 0.351852 | 0.244444 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b31c17bc22fb02364bf3e27057e5970be530fe76 | 2,149 | py | Python | playground/messaging/producer/config.py | murlokito/playground | 405a7091bbfd6705db967e872ed6c4591bd892e6 | [
"MIT"
] | null | null | null | playground/messaging/producer/config.py | murlokito/playground | 405a7091bbfd6705db967e872ed6c4591bd892e6 | [
"MIT"
] | null | null | null | playground/messaging/producer/config.py | murlokito/playground | 405a7091bbfd6705db967e872ed6c4591bd892e6 | [
"MIT"
] | null | null | null | __title__ = "simulation"
__author__ = "murlux"
__copyright__ = "Copyright 2019, " + __author__
__credits__ = (__author__, )
__license__ = "MIT"
__email__ = "murlux@protonmail.com"
# Global imports
from enum import Enum
from typing import Any, Dict
from playground.messaging.flow import Flow, flow_from_json
from playgr... | 30.7 | 119 | 0.665891 | 265 | 2,149 | 5.132075 | 0.226415 | 0.047059 | 0.048529 | 0.088235 | 0.494853 | 0.422059 | 0.332353 | 0.188235 | 0.114706 | 0.114706 | 0 | 0.002463 | 0.2443 | 2,149 | 69 | 120 | 31.144928 | 0.834975 | 0.060493 | 0 | 0 | 0 | 0 | 0.233418 | 0.010633 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.090909 | 0 | 0.295455 | 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 |
b3208faab0bb9858fdeabda875efe2eb39010200 | 5,673 | py | Python | robot3_18c1054/scripts/visualizer.py | 18C1054-S-K/robot3_ros | c34cf2989829b3f38648b5e32be1d5cc5264ad80 | [
"MIT"
] | null | null | null | robot3_18c1054/scripts/visualizer.py | 18C1054-S-K/robot3_ros | c34cf2989829b3f38648b5e32be1d5cc5264ad80 | [
"MIT"
] | null | null | null | robot3_18c1054/scripts/visualizer.py | 18C1054-S-K/robot3_ros | c34cf2989829b3f38648b5e32be1d5cc5264ad80 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import rospy
import numpy as np
import math
import time
from sensor_msgs.msg import JointState
from std_msgs.msg import Float32, Float32MultiArray, Bool, Header
from robot3_18c1054.msg import HandClose
from robot3_18c1054.srv import GetHandState, GetHandStateResponse, GetInitTime, GetInitTimeRes... | 30.5 | 176 | 0.693637 | 988 | 5,673 | 3.719636 | 0.154858 | 0.050068 | 0.056599 | 0.029932 | 0.326259 | 0.244354 | 0.162721 | 0.144762 | 0.128435 | 0.128435 | 0 | 0.034635 | 0.160233 | 5,673 | 185 | 177 | 30.664865 | 0.736776 | 0.015688 | 0 | 0.174497 | 0 | 0 | 0.072108 | 0.009327 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053691 | false | 0.013423 | 0.053691 | 0 | 0.248322 | 0.04698 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b3216e51e921df93ba62232e2dc93c7a485cd2b1 | 6,980 | py | Python | gpu_bdb/min/large_ddf.py | cylondata/gpu-bdb | 6edef0985e9953c6bc9b4e0639b0dff1c9facefa | [
"Apache-2.0"
] | null | null | null | gpu_bdb/min/large_ddf.py | cylondata/gpu-bdb | 6edef0985e9953c6bc9b4e0639b0dff1c9facefa | [
"Apache-2.0"
] | null | null | null | gpu_bdb/min/large_ddf.py | cylondata/gpu-bdb | 6edef0985e9953c6bc9b4e0639b0dff1c9facefa | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2019-2020, NVIDIA CORPORATION.
#
# 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 ag... | 36.165803 | 116 | 0.698281 | 1,074 | 6,980 | 4.436685 | 0.188082 | 0.052046 | 0.018468 | 0.029381 | 0.564743 | 0.529276 | 0.469045 | 0.420147 | 0.391396 | 0.33893 | 0 | 0.013101 | 0.201719 | 6,980 | 192 | 117 | 36.354167 | 0.842067 | 0.34914 | 0 | 0.495868 | 0 | 0 | 0.143238 | 0.007785 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066116 | false | 0 | 0.099174 | 0 | 0.231405 | 0.239669 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b3245056e3f0f3fb5389269f801f8bf1920f67ff | 13,768 | py | Python | ehb_service/apps/api/views/externalrecord.py | chop-dbhi/ehb-service | 62f26cbb1495026caf37e1c326a593253b88bdd9 | [
"BSD-2-Clause"
] | 1 | 2018-11-03T15:53:50.000Z | 2018-11-03T15:53:50.000Z | ehb_service/apps/api/views/externalrecord.py | chop-dbhi/ehb-service | 62f26cbb1495026caf37e1c326a593253b88bdd9 | [
"BSD-2-Clause"
] | 78 | 2015-12-16T20:12:20.000Z | 2020-04-08T19:42:35.000Z | ehb_service/apps/api/views/externalrecord.py | chop-dbhi/ehb-service | 62f26cbb1495026caf37e1c326a593253b88bdd9 | [
"BSD-2-Clause"
] | 1 | 2019-11-04T06:24:02.000Z | 2019-11-04T06:24:02.000Z | import json
import logging
from django.db.models import Q
from core.forms import ExternalRecordForm, ExternalRecordRelationForm
from .constants import ErrorConstants
from api.helpers import FormHelpers
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import sta... | 36.519894 | 179 | 0.529198 | 1,329 | 13,768 | 5.329571 | 0.148984 | 0.021742 | 0.013977 | 0.011859 | 0.311591 | 0.260765 | 0.208951 | 0.158549 | 0.126641 | 0.115064 | 0 | 0.002955 | 0.385532 | 13,768 | 376 | 180 | 36.617021 | 0.834279 | 0.087231 | 0 | 0.34296 | 0 | 0 | 0.122868 | 0.006386 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043321 | false | 0 | 0.043321 | 0 | 0.176895 | 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 |
b327fc80caa49ef916375787bf5e4e7f062d013b | 8,409 | py | Python | cardbuilder/resolution/printer.py | jrhoff/cardbuilder | 857360b1827494a286cee9928cb004af882e55b4 | [
"MIT"
] | null | null | null | cardbuilder/resolution/printer.py | jrhoff/cardbuilder | 857360b1827494a286cee9928cb004af882e55b4 | [
"MIT"
] | null | null | null | cardbuilder/resolution/printer.py | jrhoff/cardbuilder | 857360b1827494a286cee9928cb004af882e55b4 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from collections import OrderedDict
from os import mkdir
from os.path import exists, join
from typing import Optional, Callable, get_type_hints, Dict
import requests
from cardbuilder.common.util import dedup_by, retry_with_logging
from cardbuilder.exceptions import CardBuilderUsage... | 41.220588 | 121 | 0.633964 | 959 | 8,409 | 5.252346 | 0.153285 | 0.046456 | 0.023824 | 0.025412 | 0.305738 | 0.265436 | 0.223347 | 0.165972 | 0.156442 | 0.138972 | 0 | 0.00358 | 0.269235 | 8,409 | 203 | 122 | 41.423645 | 0.816111 | 0.011416 | 0 | 0.194805 | 0 | 0 | 0.046346 | 0.012038 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12987 | false | 0 | 0.058442 | 0.025974 | 0.331169 | 0.25974 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b329631d1ae39b00c66566b6ebd6369fb6aa8d9a | 19,912 | py | Python | pysrc/map_info_rdr.py | CrackerCat/xed | 428712c28e831573579b7f749db63d3a58dcdbd9 | [
"Apache-2.0"
] | 1,261 | 2016-12-16T14:29:30.000Z | 2022-03-30T20:21:25.000Z | pysrc/map_info_rdr.py | CrackerCat/xed | 428712c28e831573579b7f749db63d3a58dcdbd9 | [
"Apache-2.0"
] | 190 | 2016-12-17T13:44:09.000Z | 2022-03-27T09:28:13.000Z | pysrc/map_info_rdr.py | CrackerCat/xed | 428712c28e831573579b7f749db63d3a58dcdbd9 | [
"Apache-2.0"
] | 155 | 2016-12-16T22:17:20.000Z | 2022-02-16T20:53:59.000Z | #!/usr/bin/env python
# -*- python -*-
#BEGIN_LEGAL
#
#Copyright (c) 2020 Intel Corporation
#
# 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-... | 38.072658 | 107 | 0.558206 | 2,675 | 19,912 | 3.903925 | 0.144299 | 0.018194 | 0.018386 | 0.016853 | 0.430911 | 0.356986 | 0.341856 | 0.325194 | 0.310543 | 0.304989 | 0 | 0.011977 | 0.32493 | 19,912 | 522 | 108 | 38.145594 | 0.764916 | 0.131227 | 0 | 0.30829 | 0 | 0 | 0.120042 | 0.011283 | 0 | 0 | 0 | 0 | 0.002591 | 1 | 0.072539 | false | 0.005181 | 0.025907 | 0.025907 | 0.163212 | 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 |
b32c8ac533a9595c7935a15d0c1ab0a2d7c89655 | 2,271 | py | Python | specs/monitor/events_v1_spec.py | marojor/sysdig-sdk-python | c554f9f747ff88ce075b50a50d81f75aff327bb1 | [
"MIT"
] | 45 | 2016-04-11T16:50:15.000Z | 2020-07-11T23:37:51.000Z | specs/monitor/events_v1_spec.py | marojor/sysdig-sdk-python | c554f9f747ff88ce075b50a50d81f75aff327bb1 | [
"MIT"
] | 74 | 2016-08-09T17:10:55.000Z | 2020-07-09T08:36:16.000Z | specs/monitor/events_v1_spec.py | marojor/sysdig-sdk-python | c554f9f747ff88ce075b50a50d81f75aff327bb1 | [
"MIT"
] | 39 | 2016-04-20T17:22:23.000Z | 2020-07-08T17:25:52.000Z | import os
import time
from expects import expect, have_key, contain, have_keys, be_empty, equal
from mamba import it, before, description
from sdcclient.monitor import EventsClientV1
from specs import be_successful_api_call
with description("Events v1", "integration") as self:
with before.all:
self.clien... | 41.290909 | 122 | 0.647292 | 335 | 2,271 | 4.226866 | 0.259701 | 0.056497 | 0.074153 | 0.093927 | 0.554379 | 0.47387 | 0.47387 | 0.434322 | 0.352401 | 0.352401 | 0 | 0.006989 | 0.243945 | 2,271 | 54 | 123 | 42.055556 | 0.817705 | 0.035667 | 0 | 0.268293 | 0 | 0 | 0.214449 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.146341 | 0 | 0.146341 | 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 |
b32ce48bfac67262240dc37403bd03bc3776e361 | 322 | py | Python | app/cryptprice/exceptions/app_exceptions.py | MihailButnaru/cryptprice | b9636dbb0fb88d345fc53a9e8ec0554a888e7302 | [
"MIT"
] | 2 | 2020-07-04T23:02:14.000Z | 2021-02-04T21:21:14.000Z | app/cryptprice/exceptions/app_exceptions.py | MihailButnaru/cryptprice | b9636dbb0fb88d345fc53a9e8ec0554a888e7302 | [
"MIT"
] | 4 | 2021-03-30T13:50:34.000Z | 2021-09-22T19:22:57.000Z | app/cryptprice/exceptions/app_exceptions.py | MihailButnaru/cryptprice | b9636dbb0fb88d345fc53a9e8ec0554a888e7302 | [
"MIT"
] | null | null | null | from rest_framework.exceptions import APIException
__author__ = "Mihail Butnaru"
__copyright__ = "Copyright 2020, All rights reserved."
class APPServerError(APIException):
status_code = 500
default_detail = "Service temporarily unavailable, contact the administrator"
default_code = "internal_server_error... | 29.272727 | 81 | 0.795031 | 34 | 322 | 7.117647 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025362 | 0.142857 | 322 | 10 | 82 | 32.2 | 0.851449 | 0 | 0 | 0 | 0 | 0 | 0.400621 | 0.065217 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.714286 | 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 |
b3306de4e386f43f3bd60bacfbc628514aa6597c | 2,683 | py | Python | python/Data Structures/Arrays/maximumRange.py | sinderpl/CodingExamples | 9bc59a0345589bf51fc74fe9ad527e9498b9b5c9 | [
"MIT"
] | null | null | null | python/Data Structures/Arrays/maximumRange.py | sinderpl/CodingExamples | 9bc59a0345589bf51fc74fe9ad527e9498b9b5c9 | [
"MIT"
] | null | null | null | python/Data Structures/Arrays/maximumRange.py | sinderpl/CodingExamples | 9bc59a0345589bf51fc74fe9ad527e9498b9b5c9 | [
"MIT"
] | null | null | null | class Solution:
def maximumPopulation(self, logs: List[List[int]]) -> int:
years_mapped = dict()
# Map each person = O(n)
# First bottleneck is having to map every year out which increases processing time
# The second is also here since we use additional storage to account f... | 33.123457 | 94 | 0.542303 | 324 | 2,683 | 4.317901 | 0.277778 | 0.115082 | 0.085776 | 0.048606 | 0.530379 | 0.498213 | 0.498213 | 0.40386 | 0.364546 | 0.364546 | 0 | 0.024465 | 0.390608 | 2,683 | 81 | 95 | 33.123457 | 0.831193 | 0.191577 | 0 | 0.660377 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0 | 0 | 0 | 0.169811 | 0.018868 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b330802951dfea9ae95601d2e89610bb4ee484ba | 5,027 | py | Python | vision_transformer/Vit.py | ximingxing/Deep-Learning-in-Action | 38d5d3d6990553ff9d3ea771d8e83f8b47241b9a | [
"MIT"
] | 1 | 2020-09-16T09:17:37.000Z | 2020-09-16T09:17:37.000Z | vision_transformer/Vit.py | ximingxing/Deep-Learning-in-Action | 38d5d3d6990553ff9d3ea771d8e83f8b47241b9a | [
"MIT"
] | 1 | 2021-05-13T05:20:07.000Z | 2021-05-13T05:20:07.000Z | vision_transformer/Vit.py | ximingxing/Deep-Learning-in-Action | 38d5d3d6990553ff9d3ea771d8e83f8b47241b9a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Project : Deep-Learning-in-Action
File : Vit.py
Description :
论文题目: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
论文地址: https://arxiv.org/abs/2010.11929
Author : xingximing.xxm
Date : 2021/7/11 11:36 AM
"""
import torch
fr... | 30.652439 | 139 | 0.571912 | 734 | 5,027 | 3.749319 | 0.239782 | 0.022892 | 0.019985 | 0.027253 | 0.144622 | 0.09484 | 0.02907 | 0.023983 | 0 | 0 | 0 | 0.027417 | 0.296201 | 5,027 | 163 | 140 | 30.840491 | 0.750424 | 0.083947 | 0 | 0.089286 | 0 | 0.008929 | 0.062336 | 0 | 0 | 0 | 0 | 0 | 0.017857 | 1 | 0.098214 | false | 0 | 0.044643 | 0.026786 | 0.241071 | 0.008929 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b33142a09cea192c1496daaf28a083bed7fd400a | 3,518 | py | Python | sheets.py | caleby117/xybot | 6dcc6ac99ef05ae7791c6c29c1f2f2c4242fb647 | [
"Apache-2.0"
] | null | null | null | sheets.py | caleby117/xybot | 6dcc6ac99ef05ae7791c6c29c1f2f2c4242fb647 | [
"Apache-2.0"
] | null | null | null | sheets.py | caleby117/xybot | 6dcc6ac99ef05ae7791c6c29c1f2f2c4242fb647 | [
"Apache-2.0"
] | null | null | null | import gspread
import time
gc = gspread.service_account(filename='creds.json')
sheetKey = "<insert shet key here>"
wb = gc.open_by_key(sheetKey)
localtime = time.asctime()
newSheetName = f'XY on {localtime}'
worksheet = wb.sheet1
scoreSheet = worksheet.duplicate(insert_sheet_index=1, new_sheet_name=newSheetName)
#ma... | 21.716049 | 92 | 0.688459 | 548 | 3,518 | 4.231752 | 0.293796 | 0.057352 | 0.042691 | 0.024148 | 0.169901 | 0.127641 | 0.114273 | 0.114273 | 0.093144 | 0.093144 | 0 | 0.017188 | 0.17311 | 3,518 | 161 | 93 | 21.850932 | 0.779993 | 0.057987 | 0 | 0.105263 | 0 | 0 | 0.066421 | 0.018786 | 0 | 0 | 0 | 0 | 0 | 1 | 0.168421 | false | 0 | 0.021053 | 0.010526 | 0.326316 | 0.021053 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b33207e52f5d4757fcc591f2721a05242c76cc96 | 3,538 | py | Python | rgn/preprocessing.py | alifkurniawan/tesis | 6330dba32f5dc12785e956875c94d83344d788a8 | [
"MIT"
] | null | null | null | rgn/preprocessing.py | alifkurniawan/tesis | 6330dba32f5dc12785e956875c94d83344d788a8 | [
"MIT"
] | 3 | 2022-01-13T03:13:37.000Z | 2022-03-12T00:48:18.000Z | rgn/preprocessing.py | alifkurniawan/tesis | 6330dba32f5dc12785e956875c94d83344d788a8 | [
"MIT"
] | null | null | null | import glob
import os
import numpy as np
from io import BytesIO
from tqdm import tqdm
import bcolz
import platform
MAX_SEQUENCE_LENGTH = 700
def filter_input_files(input_files):
disallowed_file_endings = (".gitignore", ".DS_Store")
return list(filter(lambda x: not x.endswith(disallowed_file_endings), input_f... | 34.019231 | 99 | 0.550594 | 469 | 3,538 | 4.014925 | 0.309168 | 0.100903 | 0.103558 | 0.074349 | 0.359002 | 0.277217 | 0.243229 | 0.190653 | 0.173659 | 0.173659 | 0 | 0.01623 | 0.320803 | 3,538 | 103 | 100 | 34.349515 | 0.767374 | 0.075466 | 0 | 0.075 | 0 | 0 | 0.037718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0125 | false | 0 | 0.0875 | 0 | 0.1125 | 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 |
b336e30f32a8c91df3cdcc80f11eabae458079ff | 1,058 | py | Python | metropolis/core/tests/test_serializer.py | Ashon/_study_nats_worker | 9c137a5cb68b13ddd91f999e61ac5d6125cd155a | [
"MIT"
] | 5 | 2020-01-08T07:58:54.000Z | 2021-03-03T13:22:11.000Z | metropolis/core/tests/test_serializer.py | Ashon/python-nats-gateway | 9c137a5cb68b13ddd91f999e61ac5d6125cd155a | [
"MIT"
] | 3 | 2019-11-05T01:15:47.000Z | 2019-11-07T09:50:25.000Z | metropolis/core/tests/test_serializer.py | Ashon/python-nats-rpc | 9c137a5cb68b13ddd91f999e61ac5d6125cd155a | [
"MIT"
] | 1 | 2019-11-06T04:49:52.000Z | 2019-11-06T04:49:52.000Z | import unittest
from metropolis.core.serializer import DefaultMessageSerializer
from metropolis.core.serializer import JsonMessageSerializer
class TestDefaultMessageSerializer(unittest.TestCase):
def test_default_serializer_should_returns_bytes_msg(self):
msg = 'hello'
encoded = DefaultMessageSer... | 36.482759 | 64 | 0.751418 | 110 | 1,058 | 6.972727 | 0.290909 | 0.073012 | 0.073012 | 0.125163 | 0.644068 | 0.555411 | 0.555411 | 0.440678 | 0.440678 | 0.440678 | 0 | 0 | 0.165406 | 1,058 | 28 | 65 | 37.785714 | 0.86863 | 0 | 0 | 0.285714 | 0 | 0 | 0.032136 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 1 | 0.190476 | false | 0 | 0.142857 | 0 | 0.428571 | 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 |
b338f100fce3bc7e987544b20907d50a2e935653 | 5,704 | py | Python | ceph_provisioned/ceph_provisioned.py | CCI-MOC/zabbix-ceph | 500b7a714225ef03fe4b202af1f49072cc879651 | [
"Apache-2.0"
] | 1 | 2020-02-22T20:50:47.000Z | 2020-02-22T20:50:47.000Z | ceph_provisioned/ceph_provisioned.py | CCI-MOC/zabbix-ceph | 500b7a714225ef03fe4b202af1f49072cc879651 | [
"Apache-2.0"
] | null | null | null | ceph_provisioned/ceph_provisioned.py | CCI-MOC/zabbix-ceph | 500b7a714225ef03fe4b202af1f49072cc879651 | [
"Apache-2.0"
] | null | null | null | #! /bin/python
"""Calculate provisioned space"""
from __future__ import division
import sys
import subprocess
import json
import functools
import multiprocessing
import configparser
from pprint import pprint
from math import ceil
from pyzabbix import ZabbixMetric, ZabbixSender
from pyzabbix_socketwrapper import PyZa... | 32.409091 | 164 | 0.673562 | 765 | 5,704 | 4.75817 | 0.224837 | 0.042033 | 0.057143 | 0.041209 | 0.255495 | 0.195055 | 0.143132 | 0.136813 | 0.136813 | 0.109341 | 0 | 0.000677 | 0.222651 | 5,704 | 175 | 165 | 32.594286 | 0.820253 | 0.167251 | 0 | 0.095238 | 0 | 0 | 0.228424 | 0.073422 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.104762 | 0 | 0.228571 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b33a0a1302faab794aabfcd653702fef3513e51b | 6,307 | py | Python | live_cnn/webcam_cnn_pipeline.py | apapiu/live_cnn | d560c14269c81d9b437f4f25169e28c983a7b0af | [
"Apache-2.0"
] | 3 | 2016-11-15T16:04:14.000Z | 2017-02-05T23:51:29.000Z | live_cnn/webcam_cnn_pipeline.py | apapiu/live_cnn | d560c14269c81d9b437f4f25169e28c983a7b0af | [
"Apache-2.0"
] | null | null | null | live_cnn/webcam_cnn_pipeline.py | apapiu/live_cnn | d560c14269c81d9b437f4f25169e28c983a7b0af | [
"Apache-2.0"
] | null | null | null | #functions:
#to get the dependencies create a conda environment:
#conda create --name live_cnn keras ipython opencv scikit-learn
#note that the dim ordering here is the theano one - it's faster on CPU.
#TODO: do some detection/ bounding box CNN's?
import time
import os
import cv2
import numpy as np
from keras.models... | 30.322115 | 96 | 0.641985 | 875 | 6,307 | 4.534857 | 0.323429 | 0.032258 | 0.025202 | 0.015121 | 0.32006 | 0.292843 | 0.21875 | 0.199597 | 0.185484 | 0.185484 | 0 | 0.032197 | 0.241636 | 6,307 | 207 | 97 | 30.468599 | 0.797407 | 0.269859 | 0 | 0.259615 | 0 | 0 | 0.068187 | 0.034876 | 0 | 0 | 0.001789 | 0.009662 | 0 | 1 | 0.086538 | false | 0 | 0.086538 | 0 | 0.182692 | 0.009615 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b33b2269e6d2e9516aade7f62d1a13fd0a9f22d6 | 2,292 | py | Python | robotarm/controllers/api_service.py | AmidBidee/Robot-Arm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | 1 | 2022-03-27T20:09:10.000Z | 2022-03-27T20:09:10.000Z | robotarm/controllers/api_service.py | AmidBidee/Robot-Arm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | 4 | 2022-03-25T03:45:10.000Z | 2022-03-29T14:31:16.000Z | robotarm/controllers/api_service.py | AmidBidee/RobotArm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
State Controller Module
"""
import subprocess
from robotarm.controllers import proxy_url
import requests
import pathlib
import psutil
BASE_DIR = pathlib.Path(__file__).resolve().parent.parent
#print(BASE_DIR)
class APIServiceController():
"""
contolls api service
actions:
h... | 29.012658 | 104 | 0.544939 | 248 | 2,292 | 4.862903 | 0.491935 | 0.023217 | 0.034826 | 0.033168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007495 | 0.301483 | 2,292 | 78 | 105 | 29.384615 | 0.745784 | 0.196771 | 0 | 0 | 0 | 0 | 0.234979 | 0.098751 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.131579 | 0 | 0.342105 | 0.131579 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b33f2a6de57090a527f6078cd21b1bc58dc5b6e8 | 1,266 | py | Python | examples/basic.py | kpchand/firepack | 082b2477024c928e1999691b17eb3c07f015d79f | [
"MIT"
] | 1 | 2021-06-14T10:18:57.000Z | 2021-06-14T10:18:57.000Z | examples/basic.py | kpchand/firepack | 082b2477024c928e1999691b17eb3c07f015d79f | [
"MIT"
] | null | null | null | examples/basic.py | kpchand/firepack | 082b2477024c928e1999691b17eb3c07f015d79f | [
"MIT"
] | null | null | null | from firepack.fields import IntField, StrField
from firepack.service import FireService
from firepack.errors import SkipError, ValidationError
CRAWLED_DB = []
def page_name_validator(name, value):
if not value.endswith('.html'):
raise ValidationError(name, 'I only know html pages!')
class Crawler(Fire... | 28.133333 | 84 | 0.665877 | 163 | 1,266 | 5.030675 | 0.496933 | 0.058537 | 0.041463 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00203 | 0.221959 | 1,266 | 45 | 84 | 28.133333 | 0.830457 | 0.172986 | 0 | 0 | 0 | 0 | 0.131478 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.107143 | 0.035714 | 0.428571 | 0.107143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b33f68c75544b629936c29fb4b8ae81e16ce8cfe | 10,460 | py | Python | dependencies/panda/Panda3D-1.10.0-x64/python/Lib/JOD/JamoDrumNodePath.py | CrankySupertoon01/Toontown-2 | 60893d104528a8e7eb4aced5d0015f22e203466d | [
"MIT"
] | 1 | 2021-02-13T22:40:50.000Z | 2021-02-13T22:40:50.000Z | dependencies/panda/Panda3D-1.10.0-x64/python/Lib/JOD/JamoDrumNodePath.py | CrankySupertoonArchive/Toontown-2 | 60893d104528a8e7eb4aced5d0015f22e203466d | [
"MIT"
] | 1 | 2018-07-28T20:07:04.000Z | 2018-07-30T18:28:34.000Z | dependencies/panda/Panda3D-1.10.0-x64/python/Lib/JOD/JamoDrumNodePath.py | CrankySupertoonArchive/Toontown-2 | 60893d104528a8e7eb4aced5d0015f22e203466d | [
"MIT"
] | 2 | 2019-12-02T01:39:10.000Z | 2021-02-13T22:41:00.000Z | """
NodePath for Jam-o-Drum model
@author: Ben Buchwald <bb2@alumni.cmu.edu>
Last Updated: 11/29/2005
@var DRUMPAD_RADIUS: constant representing the radius of the drumpad as a percentage
of the radius of the table
@type DRUMPAD_RADIUS: float
@var SPINNER_RADIUS: constant representing the radius o... | 33.101266 | 96 | 0.60631 | 1,247 | 10,460 | 5.056937 | 0.194066 | 0.024738 | 0.011418 | 0.016175 | 0.342372 | 0.315255 | 0.295116 | 0.230891 | 0.230891 | 0.230891 | 0 | 0.01731 | 0.298566 | 10,460 | 315 | 97 | 33.206349 | 0.84217 | 0.39847 | 0 | 0.169355 | 0 | 0 | 0.013998 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137097 | false | 0 | 0.056452 | 0 | 0.233871 | 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 |
b34056015462e1089eaab43dc86088ca8783c08f | 2,927 | py | Python | src/apps/alarm_clock/tests/test_api.py | stefanhoelzl/alarm-clock | efba84e71fcade26bef020dc7eaa10181ea9f96c | [
"MIT"
] | 1 | 2019-07-31T12:39:53.000Z | 2019-07-31T12:39:53.000Z | src/apps/alarm_clock/tests/test_api.py | stefanhoelzl/alarm-clock | efba84e71fcade26bef020dc7eaa10181ea9f96c | [
"MIT"
] | null | null | null | src/apps/alarm_clock/tests/test_api.py | stefanhoelzl/alarm-clock | efba84e71fcade26bef020dc7eaa10181ea9f96c | [
"MIT"
] | 1 | 2019-10-04T04:32:20.000Z | 2019-10-04T04:32:20.000Z | import pytest
from unittest.mock import patch
from ..api import *
from ..alarm import Alarm
from .. import AlarmClockApp
from ..alarm_states import Disabled, Enabled
class AlarmClockMock(AlarmClockApp):
auto_store = False
def __init__(self, alarms=None, off=False, snooze=False):
super().__init__()
... | 27.35514 | 78 | 0.617014 | 393 | 2,927 | 4.473282 | 0.183206 | 0.067691 | 0.0876 | 0.0876 | 0.471559 | 0.331058 | 0.182594 | 0.182594 | 0.163823 | 0.163823 | 0 | 0.044045 | 0.239836 | 2,927 | 106 | 79 | 27.613208 | 0.746067 | 0 | 0 | 0.270588 | 0 | 0 | 0.08507 | 0 | 0 | 0 | 0 | 0 | 0.282353 | 1 | 0.035294 | false | 0 | 0.070588 | 0 | 0.129412 | 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 |
b340e1518e138957e56fd973250c45b5d93fb474 | 4,519 | py | Python | skipole/skiadmin/skiadminpackages/editfiles/editfile.py | bernie-skipole/skipole | b45d3291c593e7c03c053ab4f192f1ecc5c3e9b9 | [
"MIT"
] | null | null | null | skipole/skiadmin/skiadminpackages/editfiles/editfile.py | bernie-skipole/skipole | b45d3291c593e7c03c053ab4f192f1ecc5c3e9b9 | [
"MIT"
] | null | null | null | skipole/skiadmin/skiadminpackages/editfiles/editfile.py | bernie-skipole/skipole | b45d3291c593e7c03c053ab4f192f1ecc5c3e9b9 | [
"MIT"
] | null | null | null |
"Functions implementing FilePage editing"
from ... import ValidateError, FailPage, ServerError
from ....ski.project_class_definition import SectionData
from ... import skilift
from ....skilift import editpage
from .. import utils
def retrieve_edit_filepage(skicall):
"Retrieves widget data for the edit file... | 31.823944 | 115 | 0.680239 | 563 | 4,519 | 5.250444 | 0.198934 | 0.102842 | 0.101489 | 0.022327 | 0.456022 | 0.403248 | 0.366712 | 0.315968 | 0.315968 | 0.259134 | 0 | 0 | 0.215313 | 4,519 | 141 | 116 | 32.049645 | 0.833615 | 0.100686 | 0 | 0.464646 | 0 | 0 | 0.204475 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040404 | false | 0 | 0.050505 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b342a3c46ccc9eff45c7a93f20bcee1cba5cd708 | 23,313 | py | Python | src/radixlib/provider.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 32 | 2022-01-12T16:52:28.000Z | 2022-03-24T18:05:47.000Z | src/radixlib/provider.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 3 | 2022-01-12T17:01:55.000Z | 2022-02-12T15:14:16.000Z | src/radixlib/provider.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 1 | 2022-01-21T04:28:07.000Z | 2022-01-21T04:28:07.000Z | from radixlib.api_types.identifiers import (
TransactionIdentifier,
ValidatorIdentifier,
NetworkIdentifier,
AccountIdentifier,
TokenIdentifier,
StateIdentifier,
)
from radixlib.actions import ActionType
from radixlib.network import Network
import radixlib as radix
import requests
from typing im... | 39.313659 | 134 | 0.59306 | 2,513 | 23,313 | 5.388778 | 0.144847 | 0.050953 | 0.01403 | 0.034559 | 0.48213 | 0.421356 | 0.362871 | 0.34345 | 0.310959 | 0.299586 | 0 | 0.001009 | 0.320079 | 23,313 | 593 | 135 | 39.313659 | 0.853322 | 0.473513 | 0 | 0.443262 | 0 | 0.003546 | 0.124018 | 0.024156 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078014 | false | 0 | 0.021277 | 0 | 0.177305 | 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 |
b34624bfe3809ef151eb67f5a9916a24938c1e64 | 3,109 | py | Python | setup.py | Mr0l3/filometro | 46af52121fc3ed94935c9965d2ff51d2d26d1809 | [
"MIT"
] | null | null | null | setup.py | Mr0l3/filometro | 46af52121fc3ed94935c9965d2ff51d2d26d1809 | [
"MIT"
] | null | null | null | setup.py | Mr0l3/filometro | 46af52121fc3ed94935c9965d2ff51d2d26d1809 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import sys
from shutil import rmtree
from setuptools import setup, find_packages, Command
from filometro import __version__
from filometro import __author__
here = os.path.abspath(os.path.dirname(__file__))
class PublishCommand(Command):
"""Support setup.py publish."""
d... | 30.480392 | 129 | 0.630749 | 344 | 3,109 | 5.607558 | 0.511628 | 0.015552 | 0.0648 | 0.060135 | 0.099533 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010513 | 0.235124 | 3,109 | 102 | 130 | 30.480392 | 0.796888 | 0.034738 | 0 | 0.076923 | 0 | 0.012821 | 0.432107 | 0.010033 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0.038462 | 0.076923 | 0 | 0.166667 | 0.064103 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b34719cd1fc2bb1e55eb9ba89ae807337753e699 | 801 | py | Python | examples/abcbook/example206.py | martinlackner/approval-multiwinner | 17bb6294b1910531b66c457f7b1a34a966d4113d | [
"MIT"
] | 2 | 2019-07-10T08:54:43.000Z | 2019-09-09T16:17:04.000Z | examples/abcbook/example206.py | martinlackner/approval-multiwinner | 17bb6294b1910531b66c457f7b1a34a966d4113d | [
"MIT"
] | 1 | 2019-09-11T21:29:47.000Z | 2019-09-11T21:29:47.000Z | examples/abcbook/example206.py | martinlackner/approval-multiwinner | 17bb6294b1910531b66c457f7b1a34a966d4113d | [
"MIT"
] | 1 | 2019-09-11T16:56:23.000Z | 2019-09-11T16:56:23.000Z | """
Example 2.6 (PAV, seq-PAV, revseq-PAV).
From "Multi-Winner Voting with Approval Preferences"
by Martin Lackner and Piotr Skowron
https://arxiv.org/abs/2007.01795
"""
from abcvoting import abcrules
from abcvoting.preferences import Profile
from abcvoting import misc
from abcvoting.output import output, DETAILS
ou... | 24.272727 | 87 | 0.705368 | 125 | 801 | 4.424 | 0.456 | 0.094033 | 0.068716 | 0.014467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027457 | 0.13608 | 801 | 32 | 88 | 25.03125 | 0.771676 | 0.25593 | 0 | 0 | 0 | 0 | 0.034072 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.266667 | 0 | 0.266667 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b3490a3f712a2661b2490d387f96a6b22dd40ef8 | 7,605 | py | Python | Cogs/Encode.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | Cogs/Encode.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | Cogs/Encode.py | Damiian1/techwizardshardware | 97ceafc15036be4136e860076d73d74f1887f041 | [
"MIT"
] | null | null | null | import asyncio
import discord
from discord.ext import commands
import base64
import binascii
import re
from Cogs import Nullify
def setup(bot):
# Add the bot and deps
settings = bot.get_cog("Settings")
bot.add_cog(Encode(bot, settings))
class Encode:
# Init with the bot reference
def __init__(self, bot, set... | 30.298805 | 126 | 0.687968 | 1,134 | 7,605 | 4.424162 | 0.169312 | 0.049432 | 0.074148 | 0.041459 | 0.480965 | 0.418975 | 0.340243 | 0.270082 | 0.243771 | 0.228025 | 0 | 0.019943 | 0.175805 | 7,605 | 250 | 127 | 30.42 | 0.780472 | 0.046811 | 0 | 0.352941 | 0 | 0.010695 | 0.128918 | 0 | 0 | 0 | 0.002355 | 0 | 0 | 1 | 0.064171 | false | 0.042781 | 0.037433 | 0.010695 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b34955dfe5c35177be930f5f64d0fb5e134d2832 | 1,968 | py | Python | 9.classes/a_first_look_at_classes.py | yuishihara/python_tutorial | c88db5b1c002dcf69e183ed1a45c02a08aee905c | [
"MIT"
] | null | null | null | 9.classes/a_first_look_at_classes.py | yuishihara/python_tutorial | c88db5b1c002dcf69e183ed1a45c02a08aee905c | [
"MIT"
] | null | null | null | 9.classes/a_first_look_at_classes.py | yuishihara/python_tutorial | c88db5b1c002dcf69e183ed1a45c02a08aee905c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
class MyClass:
"""A simple example class"""
i = 12345
def f(self):
return 'hello world'
def class_objects():
print(MyClass.i)
print(MyClass.f)
print(MyClass.f(None))
x = MyClass()
class Complex:
def __init__(self, realpart, imagpart):
... | 18.055046 | 47 | 0.554878 | 257 | 1,968 | 4.050584 | 0.241245 | 0.053794 | 0.042267 | 0.051873 | 0.400576 | 0.400576 | 0.358309 | 0.358309 | 0.358309 | 0.305476 | 0 | 0.011029 | 0.308943 | 1,968 | 108 | 48 | 18.222222 | 0.754412 | 0.022358 | 0 | 0.434211 | 0 | 0 | 0.059437 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.184211 | false | 0 | 0 | 0.013158 | 0.328947 | 0.197368 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b34a6562345bbb78b3671e1bb467aac47ea7b5ce | 1,664 | py | Python | omega_miya/plugins/bilibili_dynamic_monitor/util.py | Ailitonia/nonebot_miya | 71d8cf3e91bbb0dd63cbee85fd757c738b99f10c | [
"MIT"
] | 5 | 2020-10-03T14:24:41.000Z | 2021-03-05T12:36:44.000Z | omega_miya/plugins/bilibili_dynamic_monitor/util.py | Ailitonia/nonebot_miya | 71d8cf3e91bbb0dd63cbee85fd757c738b99f10c | [
"MIT"
] | null | null | null | omega_miya/plugins/bilibili_dynamic_monitor/util.py | Ailitonia/nonebot_miya | 71d8cf3e91bbb0dd63cbee85fd757c738b99f10c | [
"MIT"
] | null | null | null | import base64
import aiohttp
from io import BytesIO
from nonebot import log
# 图片转base64
async def pic_2_base64(url: str) -> str:
async def get_image(pic_url: str):
timeout_count = 0
while timeout_count < 3:
try:
timeout = aiohttp.ClientTimeout(total=10)
... | 39.619048 | 98 | 0.546875 | 196 | 1,664 | 4.44898 | 0.443878 | 0.034404 | 0.055046 | 0.048165 | 0.068807 | 0.068807 | 0.068807 | 0 | 0 | 0 | 0 | 0.056744 | 0.353966 | 1,664 | 41 | 99 | 40.585366 | 0.754419 | 0.005409 | 0 | 0.054054 | 0 | 0 | 0.221416 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.108108 | 0 | 0.216216 | 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 |
b34a72eb51bbf4be0f21e5a82d02a446a82a711f | 2,972 | py | Python | server_obj.py | varadhodiyil/vision_pipeline | 3cf2925b9d799bbd0dbf213d23ca35bfed927381 | [
"MIT"
] | 1 | 2020-10-05T10:46:44.000Z | 2020-10-05T10:46:44.000Z | server_obj.py | varadhodiyil/vision_pipeline | 3cf2925b9d799bbd0dbf213d23ca35bfed927381 | [
"MIT"
] | null | null | null | server_obj.py | varadhodiyil/vision_pipeline | 3cf2925b9d799bbd0dbf213d23ca35bfed927381 | [
"MIT"
] | null | null | null | from __future__ import print_function
import sys
import socket
import numpy as np
from PIL import Image
try:
import cPickle as pickle
except ImportError:
import pickle
from datetime import datetime
import threading
from client_send_message import MessageSender
from color_classifier import detect_color
import ... | 27.018182 | 92 | 0.569314 | 363 | 2,972 | 4.46281 | 0.349862 | 0.039506 | 0.011111 | 0.02716 | 0.119753 | 0.051852 | 0.051852 | 0.051852 | 0.051852 | 0 | 0 | 0.016481 | 0.305855 | 2,972 | 110 | 93 | 27.018182 | 0.768783 | 0.222073 | 0 | 0.088235 | 0 | 0 | 0.038899 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.205882 | 0 | 0.205882 | 0.073529 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b34ceef8d6c2e4dc17ff23fbef63dc632e613112 | 4,332 | py | Python | legacy/metamodel/nn_generator/nn_trainer_evaluate.py | AlexJew/CityEnergyAnalyst | 6eb372c79e5100a2d0abce78561ae368fb409cd1 | [
"MIT"
] | null | null | null | legacy/metamodel/nn_generator/nn_trainer_evaluate.py | AlexJew/CityEnergyAnalyst | 6eb372c79e5100a2d0abce78561ae368fb409cd1 | [
"MIT"
] | null | null | null | legacy/metamodel/nn_generator/nn_trainer_evaluate.py | AlexJew/CityEnergyAnalyst | 6eb372c79e5100a2d0abce78561ae368fb409cd1 | [
"MIT"
] | null | null | null | # coding=utf-8
"""
'input_matrix.py' script hosts the following functions:
(1) collect CEA inputs
(2) collect CEA outputs (demands)
(3) add delay to time-sensitive inputs
(4) return the input and target matrices
"""
from math import sqrt
import pandas as pd
from legacy.metamodel.nn_generator import ra... | 47.086957 | 106 | 0.707756 | 547 | 4,332 | 5.182815 | 0.279708 | 0.074074 | 0.034921 | 0.049383 | 0.401411 | 0.381658 | 0.299824 | 0.273369 | 0.164021 | 0.164021 | 0 | 0.009513 | 0.199215 | 4,332 | 91 | 107 | 47.604396 | 0.807726 | 0.051247 | 0 | 0 | 0 | 0 | 0.068747 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044776 | false | 0 | 0.149254 | 0 | 0.208955 | 0.074627 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b34f561782604d15fbd0ad5fb7b41eb487472431 | 1,512 | py | Python | src/feedfetcher.py | moretti/comic-scraper | 12c767499d64f43e0a9703598a6adcad6ffd6330 | [
"Unlicense",
"MIT"
] | 1 | 2015-02-17T12:37:28.000Z | 2015-02-17T12:37:28.000Z | src/feedfetcher.py | moretti/comic-scraper | 12c767499d64f43e0a9703598a6adcad6ffd6330 | [
"Unlicense",
"MIT"
] | null | null | null | src/feedfetcher.py | moretti/comic-scraper | 12c767499d64f43e0a9703598a6adcad6ffd6330 | [
"Unlicense",
"MIT"
] | null | null | null | import feedparser
import models
import time
import datetime as dt
from bs4 import BeautifulSoup
VALID_IMAGE_ATTRIBUTES = ('alt', 'title', 'src')
def fetch(url):
f = feedparser.parse(url)
feed = models.Feed()
feed.link = url
feed.website = f.feed.get('link')
feed.title = f.feed.get('title')
f... | 25.2 | 105 | 0.618386 | 194 | 1,512 | 4.721649 | 0.324742 | 0.016376 | 0.026201 | 0.037118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001817 | 0.271825 | 1,512 | 59 | 106 | 25.627119 | 0.830154 | 0 | 0 | 0.044444 | 0 | 0 | 0.060185 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.111111 | 0 | 0.288889 | 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 |
b35206db6eaaa312fca86f170531ab36f181b6a0 | 6,745 | py | Python | server.py | eugenetan01/TranslatorBot | e814d11b5a492a26ecb84737c31dc2c92c9711d8 | [
"MIT"
] | null | null | null | server.py | eugenetan01/TranslatorBot | e814d11b5a492a26ecb84737c31dc2c92c9711d8 | [
"MIT"
] | null | null | null | server.py | eugenetan01/TranslatorBot | e814d11b5a492a26ecb84737c31dc2c92c9711d8 | [
"MIT"
] | null | null | null | import json
import logging
from telegram import InlineKeyboardButton, InlineKeyboardMarkup
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, CallbackQueryHandler, ConversationHandler
import os
from googletrans import Translator
import Controller as controller
import DBController as dbController... | 40.878788 | 166 | 0.722016 | 767 | 6,745 | 6.273794 | 0.33116 | 0.043225 | 0.033666 | 0.041147 | 0.317747 | 0.238155 | 0.191604 | 0.168329 | 0.15212 | 0.15212 | 0 | 0.002345 | 0.178206 | 6,745 | 164 | 167 | 41.128049 | 0.865777 | 0.238251 | 0 | 0.153061 | 0 | 0 | 0.135013 | 0.014958 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0.010204 | 0.091837 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b35557efbdcd9de6dfaad18c72d80170e6a3f1c7 | 871 | py | Python | tests/test_cluster_assignment.py | mo6zes/Reproducing-Deep-Fair-Clustering | 91f915436821eb05cdd021d3e9eb050a248fe993 | [
"Unlicense"
] | 4 | 2021-01-30T12:36:18.000Z | 2022-03-23T10:10:45.000Z | tests/test_cluster_assignment.py | mo6zes/Reproducing-Deep-Fair-Clustering | 91f915436821eb05cdd021d3e9eb050a248fe993 | [
"Unlicense"
] | 1 | 2021-11-05T09:16:36.000Z | 2021-11-05T15:27:25.000Z | tests/test_cluster_assignment.py | mo6zes/Reproducing-Deep-Fair-Clustering | 91f915436821eb05cdd021d3e9eb050a248fe993 | [
"Unlicense"
] | 1 | 2021-03-21T19:44:45.000Z | 2021-03-21T19:44:45.000Z | """
Source: https://github.com/vlukiyanov/pt-dec/blob/master/tests/test_cluster.py
"""
import torch
from unittest import TestCase
from module import ClusterAssignment
class TestClusterAssignment(TestCase):
@classmethod
def setUpClass(cls) -> None:
cls.cluster = ClusterAssignment(
clu... | 30.034483 | 82 | 0.608496 | 106 | 871 | 4.933962 | 0.45283 | 0.045889 | 0.011472 | 0.118547 | 0.141491 | 0.141491 | 0 | 0 | 0 | 0 | 0 | 0.041979 | 0.234214 | 871 | 28 | 83 | 31.107143 | 0.742129 | 0.089552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 1 | 0.105263 | false | 0 | 0.157895 | 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 |
b357152a7c97a6a98a37a74b2b7b43161d57c224 | 2,789 | py | Python | products/models.py | anonshubh/eCommerce-rostores- | 7503e855d650556e216c42fc1c5b95a42bb9c501 | [
"Apache-2.0"
] | null | null | null | products/models.py | anonshubh/eCommerce-rostores- | 7503e855d650556e216c42fc1c5b95a42bb9c501 | [
"Apache-2.0"
] | null | null | null | products/models.py | anonshubh/eCommerce-rostores- | 7503e855d650556e216c42fc1c5b95a42bb9c501 | [
"Apache-2.0"
] | null | null | null | from django.db import models
from django.urls import reverse
import random,os
from ecommerce_src.utils import unique_slug_generator,get_filename
from django.db.models.signals import pre_save
from django.utils.encoding import smart_str
from django.core.files.storage import FileSystemStorage
from django.conf import setti... | 32.811765 | 122 | 0.726067 | 363 | 2,789 | 5.380165 | 0.311295 | 0.030722 | 0.064004 | 0.061444 | 0.119816 | 0.059396 | 0.059396 | 0.059396 | 0.059396 | 0.059396 | 0 | 0.009528 | 0.172105 | 2,789 | 84 | 123 | 33.202381 | 0.836293 | 0.017569 | 0 | 0.0625 | 0 | 0 | 0.042748 | 0.014615 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.125 | 0.09375 | 0.734375 | 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 |
b35836893267f52783e00ae095462a2ce8e96ecc | 5,473 | py | Python | ai/project/scraper.py | BoraKurucu/Artificial-Intelligence | 5681ad43a79e349b36eab3f8c1fd994fffcf0cfe | [
"MIT"
] | null | null | null | ai/project/scraper.py | BoraKurucu/Artificial-Intelligence | 5681ad43a79e349b36eab3f8c1fd994fffcf0cfe | [
"MIT"
] | null | null | null | ai/project/scraper.py | BoraKurucu/Artificial-Intelligence | 5681ad43a79e349b36eab3f8c1fd994fffcf0cfe | [
"MIT"
] | 1 | 2021-02-23T19:34:12.000Z | 2021-02-23T19:34:12.000Z | import time
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
class SeleniumCrosswordHelper:
"""
A class to determine the web-operations of Selenium.
Methods
---------
get_clues()
Returns the data of the clues using the tags that are embedded... | 35.083333 | 101 | 0.610451 | 660 | 5,473 | 4.80303 | 0.251515 | 0.04164 | 0.032808 | 0.039748 | 0.320505 | 0.17918 | 0.141325 | 0.076025 | 0.076025 | 0.076025 | 0 | 0.002314 | 0.289421 | 5,473 | 155 | 102 | 35.309677 | 0.812805 | 0.251233 | 0 | 0.105263 | 0 | 0 | 0.133572 | 0.027541 | 0 | 0 | 0 | 0 | 0 | 1 | 0.144737 | false | 0 | 0.039474 | 0.013158 | 0.263158 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b359b7be06a297e1d25880bf92aada1e13ba8821 | 3,930 | py | Python | server.py | LutherMckeiver/http-server | 4ce81dfad82c5b2792bf21f088985ddb784d43c9 | [
"MIT"
] | null | null | null | server.py | LutherMckeiver/http-server | 4ce81dfad82c5b2792bf21f088985ddb784d43c9 | [
"MIT"
] | null | null | null | server.py | LutherMckeiver/http-server | 4ce81dfad82c5b2792bf21f088985ddb784d43c9 | [
"MIT"
] | null | null | null | from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse, parse_qs
from cowpy import cow
import os
import json
httpcow = '''<!DOCTYPE html>
<html>
<head>
<title> cowsay </title>
</head>
<body>
<header>
<nav>
<ul>
<li><a href="/cow">cowsay</a></li... | 28.273381 | 97 | 0.526718 | 432 | 3,930 | 4.655093 | 0.261574 | 0.06365 | 0.071606 | 0.073098 | 0.584784 | 0.584784 | 0.584784 | 0.584784 | 0.584784 | 0.584784 | 0 | 0.02015 | 0.35598 | 3,930 | 138 | 98 | 28.478261 | 0.774397 | 0.08855 | 0 | 0.540816 | 0 | 0 | 0.193825 | 0.016581 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040816 | false | 0 | 0.05102 | 0 | 0.183673 | 0.010204 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b35e517ebb50cbef91f32f99c017eebf79d3a397 | 2,873 | py | Python | byceps/services/site/dbmodels/site.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 33 | 2018-01-16T02:04:51.000Z | 2022-03-22T22:57:29.000Z | byceps/services/site/dbmodels/site.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 7 | 2019-06-16T22:02:03.000Z | 2021-10-02T13:45:31.000Z | byceps/services/site/dbmodels/site.py | GSH-LAN/byceps | ab8918634e90aaa8574bd1bb85627759cef122fe | [
"BSD-3-Clause"
] | 14 | 2019-06-01T21:39:24.000Z | 2022-03-14T17:56:43.000Z | """
byceps.services.site.dbmodels.site
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from typing import Optional
from ....database import db
from ....typing import BrandID, PartyID
from ....util.instances import ReprBuilder
f... | 34.202381 | 110 | 0.678037 | 355 | 2,873 | 5.295775 | 0.256338 | 0.055319 | 0.058511 | 0.078191 | 0.257979 | 0.180319 | 0.180319 | 0.046809 | 0 | 0 | 0 | 0.003456 | 0.194222 | 2,873 | 83 | 111 | 34.614458 | 0.808639 | 0.06126 | 0 | 0 | 0 | 0 | 0.053651 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.145161 | 0.016129 | 0.435484 | 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 |
b35f99354012d3ad1fdad1496663748a0d44b801 | 1,799 | py | Python | src/air_controller.py | n-guitar/flask-natuer-remo | 197ff7b6031caa3ac36eaf2bbeca71fbeac090db | [
"MIT"
] | 5 | 2021-08-13T14:55:58.000Z | 2022-03-21T12:11:11.000Z | src/air_controller.py | n-guitar/flask-natuer-remo | 197ff7b6031caa3ac36eaf2bbeca71fbeac090db | [
"MIT"
] | null | null | null | src/air_controller.py | n-guitar/flask-natuer-remo | 197ff7b6031caa3ac36eaf2bbeca71fbeac090db | [
"MIT"
] | null | null | null | from flask import Blueprint
from api.json_dataclient import AppliancesDataClient
from api.remoclient import NatureRemoClient
air_controller = Blueprint('air_controller', __name__, url_prefix='/air/api')
@air_controller.route('/send/power/<appliance_id>/<signal>', methods=['POST'])
def send_power(appliance_id,signal... | 38.276596 | 100 | 0.761534 | 220 | 1,799 | 5.95 | 0.213636 | 0.184874 | 0.12987 | 0.10084 | 0.71505 | 0.621849 | 0.583652 | 0.288006 | 0.288006 | 0.166539 | 0 | 0.001889 | 0.117287 | 1,799 | 46 | 101 | 39.108696 | 0.822418 | 0.008894 | 0 | 0.324324 | 0 | 0 | 0.122965 | 0.094891 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135135 | false | 0 | 0.081081 | 0 | 0.351351 | 0.054054 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b36181990f0e7a289739c1df1c506a6c08cadfb1 | 1,952 | py | Python | code/api_controlers/apis.py | AICyberTeam/retrievalSystem | 3a6b4a3f38ed179b529d3ac0cf0aad9aa6b98903 | [
"MIT"
] | 51 | 2021-11-07T03:14:12.000Z | 2022-03-31T11:47:56.000Z | code/api_controlers/apis.py | AICyberTeam/retrievalSystem | 3a6b4a3f38ed179b529d3ac0cf0aad9aa6b98903 | [
"MIT"
] | null | null | null | code/api_controlers/apis.py | AICyberTeam/retrievalSystem | 3a6b4a3f38ed179b529d3ac0cf0aad9aa6b98903 | [
"MIT"
] | 13 | 2021-11-07T03:14:14.000Z | 2022-03-20T11:14:03.000Z | from flask import Flask, request, jsonify
import json, os
from threading import Timer
from api_controlers import base_function, image_encode_ctl, delete_encode_ctl,\
text_search_ctl, image_search_ctl, semantic_localization_ctl, utils
def api_run(cfg):
app = Flask(__name__) # Flask 初始化
# ================... | 36.830189 | 83 | 0.665471 | 245 | 1,952 | 5.012245 | 0.228571 | 0.134365 | 0.044788 | 0.061075 | 0.513844 | 0.289088 | 0.235342 | 0.235342 | 0.235342 | 0.235342 | 0 | 0.00372 | 0.173668 | 1,952 | 52 | 84 | 37.538462 | 0.757595 | 0.059426 | 0 | 0.285714 | 0 | 0 | 0.100219 | 0.011501 | 0 | 0 | 0 | 0 | 0 | 1 | 0.171429 | false | 0 | 0.114286 | 0 | 0.428571 | 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 |
b36472502cc6bb056b8f449921017ab2cdc6baa1 | 2,440 | py | Python | atnp/collecter.py | alanfgn/text-analysis-political-news | 2a6e81bbc68eac7cacd63b0fcf157161264a91b1 | [
"MIT"
] | null | null | null | atnp/collecter.py | alanfgn/text-analysis-political-news | 2a6e81bbc68eac7cacd63b0fcf157161264a91b1 | [
"MIT"
] | null | null | null | atnp/collecter.py | alanfgn/text-analysis-political-news | 2a6e81bbc68eac7cacd63b0fcf157161264a91b1 | [
"MIT"
] | null | null | null | import atnp.utils as utils
import requests
import csv
import re
import os
def slice_url(url):
match = re.search(utils.LINK_PATTERN, url)
return match.group(1), match.group(2), match.group(3)
def gen_unique_name(domain, path):
return "{}__{}".format(domain, path.replace("/", "_"))
def makerequest(row, ... | 28.045977 | 73 | 0.611475 | 312 | 2,440 | 4.644231 | 0.262821 | 0.043478 | 0.048309 | 0.033126 | 0.196687 | 0.081435 | 0.041408 | 0.041408 | 0 | 0 | 0 | 0.009698 | 0.239344 | 2,440 | 86 | 74 | 28.372093 | 0.771013 | 0 | 0 | 0 | 0 | 0 | 0.133607 | 0.011475 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084746 | false | 0 | 0.084746 | 0.016949 | 0.220339 | 0.20339 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b3654a8261cc1c66da5a7989b216f4998e241a89 | 754 | py | Python | alembic/versions/5ce477cd7ee3_add_otp_column.py | ashrafmahmood/oscarine-api | 775f3ad5a3d3c50e36e228ee348ef40f075e95ec | [
"MIT"
] | 7 | 2019-09-18T19:45:46.000Z | 2020-05-18T20:07:07.000Z | alembic/versions/5ce477cd7ee3_add_otp_column.py | ashrafmahmood/oscarine-api | 775f3ad5a3d3c50e36e228ee348ef40f075e95ec | [
"MIT"
] | 252 | 2019-09-18T20:25:03.000Z | 2022-03-25T11:23:50.000Z | alembic/versions/5ce477cd7ee3_add_otp_column.py | ashrafmahmood/oscarine-api | 775f3ad5a3d3c50e36e228ee348ef40f075e95ec | [
"MIT"
] | 8 | 2019-09-18T11:02:45.000Z | 2021-05-18T17:08:51.000Z | """add otp column
Revision ID: 5ce477cd7ee3
Revises: 54f029830204
Create Date: 2020-05-12 19:04:09.302116
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '5ce477cd7ee3'
down_revision = '54f029830204'
branch_labels = None
depends_on = None
def upgrade():
#... | 24.322581 | 74 | 0.679045 | 97 | 754 | 5.206186 | 0.494845 | 0.053465 | 0.083168 | 0.091089 | 0.304951 | 0.304951 | 0.304951 | 0.174257 | 0 | 0 | 0 | 0.0864 | 0.171088 | 754 | 30 | 75 | 25.133333 | 0.7216 | 0.392573 | 0 | 0 | 0 | 0 | 0.128266 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 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 |
b367e04a0c647330d45d344829776dd6eaf4daa7 | 3,087 | py | Python | keras_approach.py | NicolaOrritos/pricenet | 1667e564d48bf0021eb16dcd529017cd00643b03 | [
"MIT"
] | null | null | null | keras_approach.py | NicolaOrritos/pricenet | 1667e564d48bf0021eb16dcd529017cd00643b03 | [
"MIT"
] | null | null | null | keras_approach.py | NicolaOrritos/pricenet | 1667e564d48bf0021eb16dcd529017cd00643b03 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import tensorflow
import pandas as pd
import numpy as np
from time import time
from keras.models import Sequential
from keras.layers import Dense
from keras.callbacks import TensorBoard
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.model_selection import train_test... | 27.318584 | 112 | 0.694201 | 424 | 3,087 | 4.898585 | 0.360849 | 0.031777 | 0.025036 | 0.03611 | 0.105922 | 0.048146 | 0.048146 | 0.048146 | 0 | 0 | 0 | 0.01536 | 0.177519 | 3,087 | 112 | 113 | 27.5625 | 0.802678 | 0.169096 | 0 | 0 | 0 | 0 | 0.049302 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035088 | false | 0 | 0.22807 | 0 | 0.298246 | 0.122807 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b371587fd6814326d2d07cd04a37a379d3827420 | 1,893 | py | Python | Playlist.py | FloSewn/Jukeberry | 9afb4a544ba1f35c6bde41b7bc25be0aa6b87954 | [
"MIT"
] | null | null | null | Playlist.py | FloSewn/Jukeberry | 9afb4a544ba1f35c6bde41b7bc25be0aa6b87954 | [
"MIT"
] | null | null | null | Playlist.py | FloSewn/Jukeberry | 9afb4a544ba1f35c6bde41b7bc25be0aa6b87954 | [
"MIT"
] | null | null | null | from Songlist import Songlist
import random
class Playlist(Songlist):
def __init__(self, songpool, n_minimum=3, n_maximum=7):
super().__init__("Playlist")
random.seed(539)
self.songpool = songpool
self.n_minimum = min((n_minimum, len(songpool.data)))
self.n_maximum = ma... | 26.291667 | 113 | 0.577919 | 243 | 1,893 | 4.333333 | 0.316872 | 0.068376 | 0.041785 | 0.037037 | 0.174739 | 0.144349 | 0.144349 | 0.144349 | 0.091168 | 0.091168 | 0 | 0.024352 | 0.327522 | 1,893 | 71 | 114 | 26.661972 | 0.802828 | 0.207079 | 0 | 0.166667 | 0 | 0 | 0.00567 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.055556 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b37267d6c2c6d0c826bf45142f7dbce6bb47ab24 | 4,131 | py | Python | model.py | khk4912/slash-dpy | 751f66cb0eb330d230695c179e44ce99b4575fd1 | [
"MIT"
] | 2 | 2021-05-09T17:46:10.000Z | 2021-05-09T17:46:13.000Z | model.py | khk4912/slash-dpy | 751f66cb0eb330d230695c179e44ce99b4575fd1 | [
"MIT"
] | null | null | null | model.py | khk4912/slash-dpy | 751f66cb0eb330d230695c179e44ce99b4575fd1 | [
"MIT"
] | null | null | null | import inspect
from dataclasses import dataclass
from typing import Callable, Optional, OrderedDict
import aiohttp
import discord
from discord.member import Member
from discord.role import Role
from discord.user import User
from exceptions import InvaildArgument
SUB_COMMAND = 1
SUB_COMMAND_GROUP = 2
STRING = 3
INTEG... | 25.5 | 88 | 0.535706 | 417 | 4,131 | 5.270983 | 0.316547 | 0.045496 | 0.030937 | 0.030027 | 0.040946 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004651 | 0.375454 | 4,131 | 161 | 89 | 25.658385 | 0.847287 | 0.123699 | 0 | 0.142857 | 0 | 0.010204 | 0.079922 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010204 | false | 0 | 0.091837 | 0 | 0.214286 | 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 |
b37268a6e2b21c06a412ba95af142dfc30df87fd | 20,192 | py | Python | labelprop/voxelmorph2d.py | nathandecaux/labelprop | c92c453e12cc8575929d947db4ae7b266433eb52 | [
"MIT"
] | null | null | null | labelprop/voxelmorph2d.py | nathandecaux/labelprop | c92c453e12cc8575929d947db4ae7b266433eb52 | [
"MIT"
] | null | null | null | labelprop/voxelmorph2d.py | nathandecaux/labelprop | c92c453e12cc8575929d947db4ae7b266433eb52 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions.normal import Normal
from monai.networks.nets import UNet,Classifier,DenseNet,BasicUNet,DynUNet
import numpy as np
import math
from kornia.geometry.transform import get_perspective_transform,get_affine_matrix2d
from .MultiLevelN... | 37.186004 | 314 | 0.595186 | 2,683 | 20,192 | 4.320164 | 0.169586 | 0.019843 | 0.004659 | 0.004831 | 0.312398 | 0.268398 | 0.217151 | 0.159952 | 0.126305 | 0.11923 | 0 | 0.02218 | 0.296652 | 20,192 | 543 | 315 | 37.186004 | 0.793902 | 0.332359 | 0 | 0.221053 | 0 | 0 | 0.016905 | 0 | 0 | 0 | 0 | 0 | 0.010526 | 1 | 0.105263 | false | 0 | 0.045614 | 0.003509 | 0.273684 | 0.014035 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fa6051aedcd77c23a8930e26b6cd51d26ec9f9d | 607 | py | Python | 4fun/open_web.py | gatitoz-luan/extras | b5caf73afcdc5e24f3ad97ef565cb15a7fee2764 | [
"MIT"
] | null | null | null | 4fun/open_web.py | gatitoz-luan/extras | b5caf73afcdc5e24f3ad97ef565cb15a7fee2764 | [
"MIT"
] | null | null | null | 4fun/open_web.py | gatitoz-luan/extras | b5caf73afcdc5e24f3ad97ef565cb15a7fee2764 | [
"MIT"
] | null | null | null | from time import sleep
import urllib.request
import webbrowser
try:
urllib.request.urlopen("https://www.youtube.com/watch?v=ffbI0JMW7g4")
except Exception as erro: # Desligando o wifi, ou o site não estiver no ar
print('\033[1; 31mO melhor vídeo do youtube não está acessível no momento.\033[m')
er = erro ... | 43.357143 | 86 | 0.708402 | 97 | 607 | 4.43299 | 0.618557 | 0.060465 | 0.069767 | 0.083721 | 0.162791 | 0.162791 | 0.162791 | 0 | 0 | 0 | 0 | 0.057884 | 0.174629 | 607 | 14 | 87 | 43.357143 | 0.800399 | 0.197694 | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fa6797946f30447b24a6199a63c2d91f44255e0 | 5,546 | py | Python | crystal_toolkit/components/symmetry.py | mkhorton/mp-dash-components | b9af1b59f0120a90897631d9a7f8d9f0ae561de9 | [
"MIT"
] | null | null | null | crystal_toolkit/components/symmetry.py | mkhorton/mp-dash-components | b9af1b59f0120a90897631d9a7f8d9f0ae561de9 | [
"MIT"
] | 5 | 2018-10-18T19:52:12.000Z | 2018-11-17T19:02:49.000Z | crystal_toolkit/components/symmetry.py | mkhorton/mp-dash-components | b9af1b59f0120a90897631d9a7f8d9f0ae561de9 | [
"MIT"
] | null | null | null | from fractions import Fraction
from dash import html
import numpy as np
from dash import callback_context
from dash.dependencies import Input, Output
from pymatgen.core.structure import Structure
from pymatgen.symmetry.analyzer import SpacegroupAnalyzer
from pymatgen.util.string import unicodeify_spacegroup, unicodeif... | 33.817073 | 94 | 0.545979 | 555 | 5,546 | 5.284685 | 0.331532 | 0.062053 | 0.021821 | 0.020457 | 0.065462 | 0.034777 | 0.034777 | 0 | 0 | 0 | 0 | 0.005674 | 0.364407 | 5,546 | 163 | 95 | 34.02454 | 0.826383 | 0 | 0 | 0.086957 | 0 | 0 | 0.182474 | 0.009196 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.072464 | 0.014493 | 0.188406 | 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 |
2fa6c536a0c61526a9ec8c3d285219c9f61ba8f1 | 14,306 | py | Python | operation_obj.py | Frichetten/aws_api_shapeshifter | c5b8891ca98eb290c0773c5fb46672d64cd7fae0 | [
"MIT"
] | 16 | 2022-02-13T00:35:30.000Z | 2022-02-14T20:11:55.000Z | operation_obj.py | Frichetten/aws_api_shapeshifter | c5b8891ca98eb290c0773c5fb46672d64cd7fae0 | [
"MIT"
] | null | null | null | operation_obj.py | Frichetten/aws_api_shapeshifter | c5b8891ca98eb290c0773c5fb46672d64cd7fae0 | [
"MIT"
] | 1 | 2022-02-16T18:27:34.000Z | 2022-02-16T18:27:34.000Z | from xeger import Xeger
import api_signer
import protocol_formatter
import aws_api_shapeshifter
""" The operation_obj will be the primary location where parameters are altered and configured.
Every user generated modification will pass throug here. As a result this code is ugly and I'm
only partially sorry. "... | 34.555556 | 134 | 0.572557 | 1,556 | 14,306 | 5.073907 | 0.184447 | 0.036479 | 0.021279 | 0.022799 | 0.30665 | 0.223813 | 0.174668 | 0.133882 | 0.08993 | 0.077517 | 0 | 0.004787 | 0.342933 | 14,306 | 414 | 135 | 34.555556 | 0.835106 | 0.14113 | 0 | 0.281588 | 0 | 0 | 0.073753 | 0.001835 | 0 | 0 | 0 | 0.002415 | 0 | 1 | 0.093863 | false | 0.01083 | 0.01444 | 0.00722 | 0.33213 | 0.00361 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fa7dec69496a095a2c47ea6cc15a0aee006cc97 | 29,064 | py | Python | chesstab/gui/uci.py | RogerMarsh/chesstab | 01d375dc6bf025b621612a84513e55c4640a78ad | [
"BSD-3-Clause"
] | null | null | null | chesstab/gui/uci.py | RogerMarsh/chesstab | 01d375dc6bf025b621612a84513e55c4640a78ad | [
"BSD-3-Clause"
] | null | null | null | chesstab/gui/uci.py | RogerMarsh/chesstab | 01d375dc6bf025b621612a84513e55c4640a78ad | [
"BSD-3-Clause"
] | null | null | null | # uci.py
# Copyright 2015 Roger Marsh
# License: See LICENSE.TXT (BSD licence)
"""Control multiple UCI compliant chess engines."""
import tkinter
import tkinter.messagebox
import tkinter.filedialog
from solentware_grid.core.dataclient import DataSource
from solentware_misc.gui.exceptionhandler import ExceptionHandl... | 37.071429 | 87 | 0.525495 | 2,928 | 29,064 | 5.044057 | 0.155738 | 0.035751 | 0.02749 | 0.025323 | 0.553389 | 0.496648 | 0.459747 | 0.420272 | 0.39197 | 0.354865 | 0 | 0.004698 | 0.392169 | 29,064 | 783 | 88 | 37.118774 | 0.831314 | 0.150874 | 0 | 0.483713 | 0 | 0 | 0.120238 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061889 | false | 0 | 0.019544 | 0 | 0.09772 | 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 |
2fa9b6e0222d2c0b70dc7ec3aecbef873f179373 | 4,704 | py | Python | Exercises/flask-blogly/app.py | pedwards95/Springboard_Class | 9df8dbd8832223e89b89d12db3f7e0b178e2ed79 | [
"MIT"
] | null | null | null | Exercises/flask-blogly/app.py | pedwards95/Springboard_Class | 9df8dbd8832223e89b89d12db3f7e0b178e2ed79 | [
"MIT"
] | null | null | null | Exercises/flask-blogly/app.py | pedwards95/Springboard_Class | 9df8dbd8832223e89b89d12db3f7e0b178e2ed79 | [
"MIT"
] | null | null | null | # python -m venv venv
# source venv/Scripts/activate
# pip install pylint
# pip install ipython
# pip install flask
# pip install flask_debugtoolbar
# pip install pylint-flask
# pip install psycopg2-binary
# pip install flask-sqlalchemy
# pip install pylint_flask_sqlalchemy
# pip install pylint-sqlalchemy
# pip install... | 31.36 | 87 | 0.713435 | 723 | 4,704 | 4.384509 | 0.159059 | 0.039748 | 0.0347 | 0.036909 | 0.481388 | 0.38265 | 0.34858 | 0.278549 | 0.227445 | 0.209148 | 0 | 0.007153 | 0.13818 | 4,704 | 150 | 88 | 31.36 | 0.77479 | 0.129889 | 0 | 0.194444 | 0 | 0 | 0.229328 | 0.065589 | 0 | 0 | 0 | 0 | 0 | 1 | 0.138889 | false | 0 | 0.027778 | 0 | 0.305556 | 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 |
2fad9a654e68fbbd2c8a4a136f03a32478751ee4 | 1,177 | py | Python | emmet/action_utils/utils.py | jingyuexing/py-emmet | e3b1ecb875e0067fc9ef4f4479c7a8d4646aaa11 | [
"MIT"
] | 29 | 2019-11-12T16:15:15.000Z | 2022-02-06T10:51:25.000Z | emmet/action_utils/utils.py | jingyuexing/py-emmet | e3b1ecb875e0067fc9ef4f4479c7a8d4646aaa11 | [
"MIT"
] | 3 | 2020-04-25T11:02:53.000Z | 2021-11-25T10:39:09.000Z | emmet/action_utils/utils.py | jingyuexing/py-emmet | e3b1ecb875e0067fc9ef4f4479c7a8d4646aaa11 | [
"MIT"
] | 7 | 2020-04-25T09:42:54.000Z | 2021-02-16T20:29:41.000Z | from ..scanner_utils import is_space
class SelectItemModel:
__slots__ = ('start', 'end', 'ranges')
def __init__(self, start: int, end: int, ranges: list=None):
self.start = start
self.end = end
self.ranges = ranges
def to_json(self):
return {
'start': self.sta... | 23.078431 | 89 | 0.531011 | 155 | 1,177 | 3.935484 | 0.316129 | 0.034426 | 0.045902 | 0.039344 | 0.095082 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016883 | 0.345794 | 1,177 | 50 | 90 | 23.54 | 0.775325 | 0.062872 | 0 | 0.054054 | 0 | 0 | 0.086661 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.027027 | 0.027027 | 0.243243 | 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 |
2faef444b1852c4a4b65fb3d4c3766d0712c2492 | 2,765 | py | Python | tests/test_effect_overlay.py | niklasR/brave | 5234bd9cecd6d7282cd0b50acfda44890cf4cfb8 | [
"Apache-2.0"
] | 1 | 2018-12-04T21:58:27.000Z | 2018-12-04T21:58:27.000Z | tests/test_effect_overlay.py | niklasR/brave | 5234bd9cecd6d7282cd0b50acfda44890cf4cfb8 | [
"Apache-2.0"
] | null | null | null | tests/test_effect_overlay.py | niklasR/brave | 5234bd9cecd6d7282cd0b50acfda44890cf4cfb8 | [
"Apache-2.0"
] | 1 | 2018-12-07T12:21:08.000Z | 2018-12-07T12:21:08.000Z | import time, pytest, inspect
from utils import *
from PIL import Image
def test_effect_overlay_visible_after_creation(run_brave):
run_brave()
time.sleep(0.5)
check_brave_is_running()
add_overlay({'type': 'effect', 'props': {'effect_name': 'edgetv'}})
time.sleep(0.1)
assert_overlays([{'id': 0,... | 41.893939 | 109 | 0.632911 | 353 | 2,765 | 4.739377 | 0.23796 | 0.089659 | 0.059773 | 0.046025 | 0.66049 | 0.607292 | 0.512851 | 0.355051 | 0.337119 | 0.317394 | 0 | 0.018325 | 0.171067 | 2,765 | 65 | 110 | 42.538462 | 0.711606 | 0.100543 | 0 | 0.354167 | 0 | 0 | 0.266263 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fafadc84ca6d4bd015e4f90fe2035ddef798fc3 | 1,659 | py | Python | RaNDaL/packages/models/text_fields/tree_field.py | adam-bentley/RaNDaL | d079ea4773815630f25f83ab0fbb8eefdbf2d17c | [
"MIT"
] | null | null | null | RaNDaL/packages/models/text_fields/tree_field.py | adam-bentley/RaNDaL | d079ea4773815630f25f83ab0fbb8eefdbf2d17c | [
"MIT"
] | null | null | null | RaNDaL/packages/models/text_fields/tree_field.py | adam-bentley/RaNDaL | d079ea4773815630f25f83ab0fbb8eefdbf2d17c | [
"MIT"
] | null | null | null | import json
from numpy import ndarray
from tensorflow.python.keras import Sequential
from ...helpers.segmentation import split_characters
from .text_field import TextArea
class Tree(TextArea):
def __init__(self, frame: ndarray, model: Sequential, inverted: bool = False):
"""
Constrctor for a tre... | 33.18 | 82 | 0.502712 | 200 | 1,659 | 4.11 | 0.395 | 0.145985 | 0.058394 | 0.058394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 0.392405 | 1,659 | 50 | 83 | 33.18 | 0.794643 | 0.201929 | 0 | 0 | 0 | 0 | 0.043239 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.178571 | 0.035714 | 0.321429 | 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 |
2fb05c28f9fc1d23f3b79a475475fc481afb0de9 | 2,742 | py | Python | pyez/PyEZ_Cookbook_2017/15-Monitoring_IPSEC_tunnels/ike-tunnels.py | rsmekala/junosautomation | b76b3e8ce34048e3460cb071d0aeef176ab3836f | [
"Apache-2.0"
] | 117 | 2016-08-22T15:52:28.000Z | 2022-01-08T00:53:28.000Z | pyez/PyEZ_Cookbook_2017/15-Monitoring_IPSEC_tunnels/ike-tunnels.py | rsmekala/junosautomation | b76b3e8ce34048e3460cb071d0aeef176ab3836f | [
"Apache-2.0"
] | 12 | 2017-10-28T09:44:44.000Z | 2018-11-21T15:12:42.000Z | pyez/PyEZ_Cookbook_2017/15-Monitoring_IPSEC_tunnels/ike-tunnels.py | rsmekala/junosautomation | b76b3e8ce34048e3460cb071d0aeef176ab3836f | [
"Apache-2.0"
] | 78 | 2016-08-19T05:35:28.000Z | 2022-03-13T07:16:27.000Z | # Copyright 2017, Juniper Networks Pvt Ltd.
# All rights reserved.
from jnpr.junos import Device
from jnpr.junos.utils.config import Config
from lxml import etree
import dill
import xmltodict
from io import StringIO
from contextlib import redirect_stdout
from collections import defaultdict
from operator import itemget... | 32.642857 | 77 | 0.539023 | 286 | 2,742 | 5.13986 | 0.416084 | 0.054422 | 0.038095 | 0.05034 | 0.269388 | 0.213605 | 0.213605 | 0.213605 | 0.213605 | 0.213605 | 0 | 0.01442 | 0.342451 | 2,742 | 83 | 78 | 33.036145 | 0.800887 | 0.063093 | 0 | 0.369863 | 0 | 0 | 0.152496 | 0.035491 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013699 | false | 0.027397 | 0.123288 | 0 | 0.150685 | 0.041096 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fb0c6198b297677732f2c4daf939edfc49f4ce4 | 3,484 | py | Python | tools/precommit_converter/extractor/extractor.py | bayeshack2016/icon-service | 36cab484d2e41548d7f2f74526f127ee3a4423fc | [
"Apache-2.0"
] | 52 | 2018-08-24T02:28:43.000Z | 2021-07-06T04:44:22.000Z | tools/precommit_converter/extractor/extractor.py | bayeshack2016/icon-service | 36cab484d2e41548d7f2f74526f127ee3a4423fc | [
"Apache-2.0"
] | 62 | 2018-09-17T06:59:16.000Z | 2021-12-15T06:02:51.000Z | tools/precommit_converter/extractor/extractor.py | bayeshack2016/icon-service | 36cab484d2e41548d7f2f74526f127ee3a4423fc | [
"Apache-2.0"
] | 35 | 2018-09-14T02:42:10.000Z | 2022-02-05T10:34:46.000Z | import json
from typing import List, Tuple, Optional
from iconservice.base.block import Block
from tools.precommit_converter.data.icon_service_info import IconServiceInfo
from tools.precommit_converter.data.key_value import KeyValue
class NotSupportFileException(Exception):
pass
class ExtractException(Exceptio... | 39.590909 | 99 | 0.528703 | 360 | 3,484 | 4.936111 | 0.272222 | 0.040518 | 0.047271 | 0.04502 | 0.130557 | 0.070906 | 0 | 0 | 0 | 0 | 0 | 0.004627 | 0.379736 | 3,484 | 87 | 100 | 40.045977 | 0.817677 | 0.054535 | 0 | 0.095238 | 0 | 0 | 0.061325 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0.031746 | 0.079365 | 0 | 0.269841 | 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 |
2fb476dd66bd0ab1d1e4099cd971c61bf78c0144 | 2,325 | py | Python | api/models/predict.py | sanjeet1207/Batman | 658a1bab55de425b23288ffec69f2d7ac93bb007 | [
"MIT"
] | null | null | null | api/models/predict.py | sanjeet1207/Batman | 658a1bab55de425b23288ffec69f2d7ac93bb007 | [
"MIT"
] | null | null | null | api/models/predict.py | sanjeet1207/Batman | 658a1bab55de425b23288ffec69f2d7ac93bb007 | [
"MIT"
] | null | null | null | from datetime import datetime
from PIL import Image
from torchvision import transforms
from urllib.request import urlopen
import requests
import logging
import os
import sys
import torch
model = torch.hub.load('pytorch/vision:v0.5.0', 'resnet18', pretrained=True)
model.eval()
def get_class_labels():
class_dict = ... | 33.695652 | 96 | 0.630968 | 293 | 2,325 | 4.866894 | 0.474403 | 0.031557 | 0.019635 | 0.026648 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029582 | 0.258495 | 2,325 | 69 | 97 | 33.695652 | 0.797564 | 0.128172 | 0 | 0 | 0 | 0 | 0.066271 | 0.010386 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.160714 | 0 | 0.232143 | 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 |
2fb6f09cc2a00f81943353736fc4cc723e1daf09 | 1,471 | py | Python | nlp_helper/nlp_helper_sentence_split.py | mstaschik/nlp-helper | 9f0722637cdcce6ae0063a152db735bb99818ec1 | [
"MIT"
] | null | null | null | nlp_helper/nlp_helper_sentence_split.py | mstaschik/nlp-helper | 9f0722637cdcce6ae0063a152db735bb99818ec1 | [
"MIT"
] | null | null | null | nlp_helper/nlp_helper_sentence_split.py | mstaschik/nlp-helper | 9f0722637cdcce6ae0063a152db735bb99818ec1 | [
"MIT"
] | null | null | null | from pathlib import Path
import logging
logging.basicConfig(level=logging.DEBUG)
def split_text_into_columns(nlp_models, df) -> None:
"""
Takes Text Content of one DataFrame Cell and splits into multiple Columns
Args:
nlp_models (list): List of Spacy Language Models
df (Pandas DataFrame):... | 25.807018 | 87 | 0.60775 | 165 | 1,471 | 5.339394 | 0.50303 | 0.051078 | 0.024972 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005742 | 0.289599 | 1,471 | 57 | 88 | 25.807018 | 0.837321 | 0.380693 | 0 | 0 | 0 | 0 | 0.072664 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.263158 | 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 |
2fb82aeb0795716862ec22bbeb4fb9c9fa7db7dd | 5,592 | py | Python | ribo_annotate.py | everyday847/RiboAnnotate | a53abc6987e71538527b5b282129ead54497b31a | [
"MIT"
] | null | null | null | ribo_annotate.py | everyday847/RiboAnnotate | a53abc6987e71538527b5b282129ead54497b31a | [
"MIT"
] | null | null | null | ribo_annotate.py | everyday847/RiboAnnotate | a53abc6987e71538527b5b282129ead54497b31a | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from PIL import Image, ImageFont, ImageDraw
base_fields = ["x", "y", "chain", "segid", "seqpos", "name"]
def base_info_of(line):
"""
Line format:
x y chain segid seqpos name
205.500 -150.750 C AB 0 L14
"""
return dict(zip(... | 38.833333 | 160 | 0.599428 | 804 | 5,592 | 3.988806 | 0.241294 | 0.060804 | 0.016838 | 0.021827 | 0.396632 | 0.368257 | 0.243218 | 0.189585 | 0.140318 | 0.088556 | 0 | 0.027581 | 0.241416 | 5,592 | 143 | 161 | 39.104895 | 0.72843 | 0.21191 | 0 | 0.177215 | 0 | 0 | 0.119098 | 0.018558 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113924 | false | 0 | 0.025316 | 0.012658 | 0.189873 | 0.075949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fbb0c4e75b2c3ddc001608e2927153cc660a8eb | 5,560 | py | Python | web_app.py | frank-chris/HospitalDatabaseSystem | 4861582d8cdca0ea28c7ef7ed46b2bdcecb3bf0b | [
"MIT"
] | null | null | null | web_app.py | frank-chris/HospitalDatabaseSystem | 4861582d8cdca0ea28c7ef7ed46b2bdcecb3bf0b | [
"MIT"
] | null | null | null | web_app.py | frank-chris/HospitalDatabaseSystem | 4861582d8cdca0ea28c7ef7ed46b2bdcecb3bf0b | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request, redirect, url_for, session
from flask_mysqldb import MySQL
from sql_helper import *
from html_helper import *
app = Flask(__name__)
app.debug = True
app.secret_key = 'mango'
# Enter your database connection details below
app.config['MYSQL_HOST'] = 'localhost'
app.co... | 42.442748 | 121 | 0.645863 | 711 | 5,560 | 4.80872 | 0.14346 | 0.094765 | 0.076046 | 0.042118 | 0.617724 | 0.586721 | 0.568002 | 0.538462 | 0.503656 | 0.503656 | 0 | 0.002097 | 0.228237 | 5,560 | 131 | 122 | 42.442748 | 0.794687 | 0.010791 | 0 | 0.45614 | 0 | 0 | 0.109131 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035088 | false | 0.008772 | 0.035088 | 0.008772 | 0.201754 | 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 |
2fbcf0d92ad2b40b429d3953d100953a69f41fd2 | 4,379 | py | Python | seq2seq_dataset.py | Leon-Francis/blue-badminton | 4b267ac355173a2ed717f9fcf16edd008960b502 | [
"Apache-2.0"
] | null | null | null | seq2seq_dataset.py | Leon-Francis/blue-badminton | 4b267ac355173a2ed717f9fcf16edd008960b502 | [
"Apache-2.0"
] | null | null | null | seq2seq_dataset.py | Leon-Francis/blue-badminton | 4b267ac355173a2ed717f9fcf16edd008960b502 | [
"Apache-2.0"
] | null | null | null | import os
import re
from victim_module.victim_config import IMDB_Config
from torch.utils.data import Dataset
from tools import logging
from transformers import AutoTokenizer
from nltk.stem import WordNetLemmatizer
from nltk.corpus import stopwords
os.environ["TOKENIZERS_PARALLELISM"] = "false"
# Setup stopwords list ... | 38.752212 | 97 | 0.542818 | 468 | 4,379 | 4.891026 | 0.290598 | 0.045435 | 0.010485 | 0.010485 | 0.349498 | 0.330275 | 0.330275 | 0.301442 | 0.301442 | 0.264744 | 0 | 0.004904 | 0.348025 | 4,379 | 113 | 98 | 38.752212 | 0.796848 | 0.053665 | 0 | 0.351648 | 0 | 0 | 0.057879 | 0.00535 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054945 | false | 0.010989 | 0.087912 | 0.021978 | 0.208791 | 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 |
2fbf69f0c7833581d5b839c771d79dfeca5e3540 | 771 | py | Python | tests/read_head_test.py | aescwork/sqliteminor | 83aa4f76a28141b085bbfc7f725531e0b67aeed5 | [
"BSD-2-Clause"
] | 1 | 2020-01-31T11:38:47.000Z | 2020-01-31T11:38:47.000Z | tests/read_head_test.py | aescwork/sqliteminor | 83aa4f76a28141b085bbfc7f725531e0b67aeed5 | [
"BSD-2-Clause"
] | null | null | null | tests/read_head_test.py | aescwork/sqliteminor | 83aa4f76a28141b085bbfc7f725531e0b67aeed5 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
import sys
sys.path.append("../sqliteminor/")
sys.path.append("../temp/")
import sqliteminor
import setup_db
class ReadHeadTest(unittest.TestCase):
def setUp(self):
self.conn = setup_db.setup_db()
self.read_head_comp = [(1, u'Ash'), (2, u'Yew'), (3, u'White Pine'), (4... | 15.734694 | 124 | 0.673152 | 116 | 771 | 4.232759 | 0.431034 | 0.09776 | 0.09776 | 0.065173 | 0.089613 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012195 | 0.149157 | 771 | 48 | 125 | 16.0625 | 0.73628 | 0.027237 | 0 | 0 | 0 | 0 | 0.123306 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.190476 | false | 0 | 0.190476 | 0 | 0.428571 | 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 |
2fbf7f011904cba5b1dd2d9a8b76bf67ae5b7a0e | 5,955 | py | Python | Gallery/views.py | CiganOliviu/InfiniteShoot | 14f7fb21e360e3c58876d82ebbe206054c72958e | [
"MIT"
] | 1 | 2021-04-02T16:45:37.000Z | 2021-04-02T16:45:37.000Z | Gallery/views.py | CiganOliviu/InfiniteShoot-1 | 6322ae34f88caaffc1de29dfa4f6d86d175810a7 | [
"Apache-2.0"
] | null | null | null | Gallery/views.py | CiganOliviu/InfiniteShoot-1 | 6322ae34f88caaffc1de29dfa4f6d86d175810a7 | [
"Apache-2.0"
] | null | null | null | from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.shortcuts import render
from django.urls import reverse
from django.views import generic
from django.views.generic.edit import FormMixin
from .models import *
from Gallery.form import ClientC... | 37.21875 | 116 | 0.751637 | 718 | 5,955 | 5.82312 | 0.13649 | 0.091844 | 0.130112 | 0.126525 | 0.597226 | 0.478833 | 0.410428 | 0.376704 | 0.376704 | 0.329347 | 0 | 0.000607 | 0.170109 | 5,955 | 159 | 117 | 37.45283 | 0.845407 | 0 | 0 | 0.25 | 0 | 0 | 0.140218 | 0.093535 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.074074 | 0.018519 | 0.398148 | 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 |
2fc03895160f2fd0bb43ba9092bb74994194db31 | 4,766 | py | Python | kat/controller.py | TOT0RoKR/kat | 5fafe688593a60700f1067ca51ec9d5f148a396e | [
"MIT"
] | 3 | 2019-10-27T08:26:15.000Z | 2019-11-26T12:23:38.000Z | kat/controller.py | tot0rokr/kat | 5fafe688593a60700f1067ca51ec9d5f148a396e | [
"MIT"
] | null | null | null | kat/controller.py | tot0rokr/kat | 5fafe688593a60700f1067ca51ec9d5f148a396e | [
"MIT"
] | 1 | 2020-01-25T00:14:51.000Z | 2020-01-25T00:14:51.000Z | from kat.lib.tag import Tag
from kat.lib.file import File
from kat.lib.scope import Scope
from kat.tracer import ccscanner as ccs
from kat.tracer import ccparser as ccp
from kat.tracer import ppscanner as pps
from kat.tracer import ppparser as ppp
from kat.ui.tabpage import *
import kat.ui.filetree as ft
import kat.ui.... | 29.974843 | 78 | 0.610575 | 619 | 4,766 | 4.578352 | 0.198708 | 0.042343 | 0.050459 | 0.028229 | 0.37156 | 0.304164 | 0.255469 | 0.184898 | 0.166549 | 0.166549 | 0 | 0.007345 | 0.257239 | 4,766 | 158 | 79 | 30.164557 | 0.79322 | 0.051616 | 0 | 0.338462 | 0 | 0 | 0.065824 | 0 | 0 | 0 | 0 | 0 | 0.007692 | 1 | 0.038462 | false | 0.015385 | 0.123077 | 0 | 0.2 | 0.007692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fc482b29b5ed517acbe06792cf699b040d68832 | 7,015 | py | Python | corehq/apps/data_interfaces/utils.py | andyasne/commcare-hq | c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88 | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/apps/data_interfaces/utils.py | andyasne/commcare-hq | c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88 | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/apps/data_interfaces/utils.py | andyasne/commcare-hq | c59a24e57bdd4d2536493f9ecdcc9906f4ae1b88 | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | from typing import List, Optional
from django.utils.translation import ugettext as _
from couchdbkit import ResourceNotFound
from soil import DownloadBase
from corehq.apps.casegroups.models import CommCareCaseGroup
from corehq.apps.hqcase.utils import get_case_by_identifier
from corehq.form_processor.interfaces.dba... | 33.564593 | 115 | 0.606557 | 771 | 7,015 | 5.285344 | 0.217899 | 0.029448 | 0.039264 | 0.020614 | 0.242454 | 0.211043 | 0.16638 | 0.132515 | 0.113865 | 0.090307 | 0 | 0.002015 | 0.292373 | 7,015 | 208 | 116 | 33.725962 | 0.818896 | 0.00727 | 0 | 0.327381 | 0 | 0 | 0.149691 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.059524 | 0.005952 | 0.172619 | 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 |
2fc4fb97dec276ac9c856a99d96ed1184a3ff45c | 4,725 | py | Python | category_prediction/evalCategoryModel.py | jakelever/corona-ml | 8ceb22af50d7277ebf05f2fd21bbbf68c080ed76 | [
"MIT"
] | 7 | 2021-02-01T22:39:23.000Z | 2021-08-09T16:28:38.000Z | category_prediction/evalCategoryModel.py | jakelever/corona-ml | 8ceb22af50d7277ebf05f2fd21bbbf68c080ed76 | [
"MIT"
] | 1 | 2021-05-17T13:14:40.000Z | 2021-05-20T10:26:09.000Z | category_prediction/evalCategoryModel.py | jakelever/corona-ml | 8ceb22af50d7277ebf05f2fd21bbbf68c080ed76 | [
"MIT"
] | 1 | 2021-01-04T14:11:18.000Z | 2021-01-04T14:11:18.000Z |
import argparse
import json
import sys
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MultiLabelBinarizer
import sklearn.metrics
from coronacode import DocumentClassifier
def main():
parser = argparse.ArgumentParser('Build a model for a classifier')
parser.add_argument('-... | 35.526316 | 148 | 0.729735 | 721 | 4,725 | 4.571429 | 0.209431 | 0.024272 | 0.016384 | 0.014867 | 0.168386 | 0.134102 | 0.118325 | 0.069175 | 0.053398 | 0.053398 | 0 | 0.012364 | 0.126984 | 4,725 | 132 | 149 | 35.795455 | 0.786667 | 0.084444 | 0 | 0.072289 | 0 | 0 | 0.171296 | 0.033796 | 0 | 0 | 0 | 0 | 0.012048 | 1 | 0.012048 | false | 0 | 0.084337 | 0 | 0.096386 | 0.168675 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fc5e09486ca793c293ae78afb5fd7c1bcc6bbb2 | 1,930 | py | Python | simple/cubes.py | sawantss/simple-cozmo | 54c85d7a42e351616edfc19ea000c94b3eee47f4 | [
"Apache-2.0"
] | 1 | 2019-10-19T22:03:33.000Z | 2019-10-19T22:03:33.000Z | simple/cubes.py | sawantss/simple-cozmo | 54c85d7a42e351616edfc19ea000c94b3eee47f4 | [
"Apache-2.0"
] | null | null | null | simple/cubes.py | sawantss/simple-cozmo | 54c85d7a42e351616edfc19ea000c94b3eee47f4 | [
"Apache-2.0"
] | null | null | null | """
This class makes it easier to deal with cube tapped events in a procedural way using if statements.
"""
from __future__ import with_statement
__all__ = ["LightCubesEventsSerializer"]
__author__ = "Shitalkumar Sawant"
__copyright__ = "Copyright(c) 2018 All rights reserved"
from threading import Lock
import cozmo... | 31.129032 | 99 | 0.672021 | 265 | 1,930 | 4.615094 | 0.366038 | 0.07359 | 0.040065 | 0.044154 | 0.133279 | 0.100572 | 0.04906 | 0.04906 | 0 | 0 | 0 | 0.015007 | 0.240415 | 1,930 | 61 | 100 | 31.639344 | 0.819236 | 0.051295 | 0 | 0.054054 | 0 | 0 | 0.084482 | 0.015578 | 0 | 0 | 0 | 0 | 0 | 1 | 0.162162 | false | 0 | 0.135135 | 0.027027 | 0.459459 | 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 |
2fc616d3f84483fe97876ef204e5c1ea508cf80c | 7,771 | py | Python | test/test_basic.py | brunoginciene/mergin-db-sync | 0126e952df0e290ce503629b9831fbd1623edf7e | [
"MIT"
] | null | null | null | test/test_basic.py | brunoginciene/mergin-db-sync | 0126e952df0e290ce503629b9831fbd1623edf7e | [
"MIT"
] | null | null | null | test/test_basic.py | brunoginciene/mergin-db-sync | 0126e952df0e290ce503629b9831fbd1623edf7e | [
"MIT"
] | null | null | null |
import pytest
import os
import shutil
import sqlite3
import tempfile
import psycopg2
from mergin import MerginClient, ClientError
import sys
sys.path.insert(0, '/home/martin/lutra/mergin-db-sync')
from dbsync import dbsync_init, dbsync_pull, dbsync_push, dbsync_status, config
GEODIFFINFO_EXE = os.environ.get('TES... | 34.847534 | 111 | 0.713808 | 1,143 | 7,771 | 4.633421 | 0.167979 | 0.049849 | 0.030211 | 0.024169 | 0.545128 | 0.510385 | 0.487915 | 0.487538 | 0.480929 | 0.456193 | 0 | 0.005991 | 0.18376 | 7,771 | 222 | 112 | 35.004505 | 0.828945 | 0.245528 | 0 | 0.476563 | 0 | 0.007813 | 0.187435 | 0.046467 | 0 | 0 | 0 | 0 | 0.078125 | 1 | 0.054688 | false | 0.03125 | 0.070313 | 0 | 0.132813 | 0.039063 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fc6dec78a4c6244e5db1d19faef976eaab1b58b | 20,773 | py | Python | code/ARAX/ARAXQuery/Expand/bte_querier.py | MayankMurali/RTX | 7d86305fb654c013c5ed2450dfe222f8666bfab2 | [
"MIT"
] | null | null | null | code/ARAX/ARAXQuery/Expand/bte_querier.py | MayankMurali/RTX | 7d86305fb654c013c5ed2450dfe222f8666bfab2 | [
"MIT"
] | null | null | null | code/ARAX/ARAXQuery/Expand/bte_querier.py | MayankMurali/RTX | 7d86305fb654c013c5ed2450dfe222f8666bfab2 | [
"MIT"
] | null | null | null | #!/bin/env python3
import sys
import os
import traceback
import asyncio
from biothings_explorer.user_query_dispatcher import SingleEdgeQueryDispatcher
sys.path.append(os.path.dirname(os.path.abspath(__file__))+"/../../UI/OpenAPI/python-flask-server/")
from swagger_server.models.node import Node
from swagger_server.mo... | 60.211594 | 140 | 0.620854 | 2,670 | 20,773 | 4.500749 | 0.146442 | 0.023966 | 0.017475 | 0.022468 | 0.397603 | 0.293917 | 0.217276 | 0.169843 | 0.124906 | 0.121994 | 0 | 0.000547 | 0.296154 | 20,773 | 344 | 141 | 60.386628 | 0.821353 | 0.090983 | 0 | 0.1875 | 0 | 0.007353 | 0.163779 | 0.035445 | 0 | 0 | 0 | 0.002907 | 0 | 1 | 0.044118 | false | 0 | 0.029412 | 0 | 0.161765 | 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 |
2fcabbf4dd03d68a4332042abb2b0e3d729ffc0b | 2,088 | py | Python | filehandling.py | theambidextrous/py-learn-trail | 33283d29862654972edaab5baf318ae7298e6f76 | [
"Apache-2.0"
] | null | null | null | filehandling.py | theambidextrous/py-learn-trail | 33283d29862654972edaab5baf318ae7298e6f76 | [
"Apache-2.0"
] | null | null | null | filehandling.py | theambidextrous/py-learn-trail | 33283d29862654972edaab5baf318ae7298e6f76 | [
"Apache-2.0"
] | null | null | null | ### FILE HADLING #############
## File OPen
""""
Use open() to manipulate files. Open() function takes two parameters; filename, and mode.
There are four different methods (modes) for opening a file:
===================================================================
"r" - Read - Default value. Opens a file for reading... | 34.229508 | 120 | 0.534962 | 270 | 2,088 | 4.137037 | 0.4 | 0.037601 | 0.044763 | 0.058192 | 0.14145 | 0.128021 | 0.128021 | 0.053715 | 0 | 0 | 0 | 0.00111 | 0.137452 | 2,088 | 60 | 121 | 34.8 | 0.619101 | 0.440613 | 0 | 0.48 | 0 | 0 | 0.556818 | 0.378409 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.04 | 0 | 0.04 | 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 |
2fcb5b1b96a29a0e18900da614e07c230a2d10b4 | 5,046 | py | Python | train_utils.py | mengcz13/pytorch_training_toolbox | fae446b53d687248c7cf4667b45530b6a9676f43 | [
"MIT"
] | null | null | null | train_utils.py | mengcz13/pytorch_training_toolbox | fae446b53d687248c7cf4667b45530b6a9676f43 | [
"MIT"
] | null | null | null | train_utils.py | mengcz13/pytorch_training_toolbox | fae446b53d687248c7cf4667b45530b6a9676f43 | [
"MIT"
] | null | null | null | import os
import sys
import socket
import time
import argparse
import pickle
import datetime
import multiprocessing
import numpy as np
import torch
import torch.optim as optim
import torch.nn.functional as torchF
from torch.optim import lr_scheduler
from torch.utils.data import DataLoader
import torch.multiprocessing... | 36.565217 | 169 | 0.652794 | 669 | 5,046 | 4.763827 | 0.306428 | 0.033888 | 0.018826 | 0.032005 | 0.213681 | 0.187951 | 0.136806 | 0.127393 | 0.106056 | 0.077816 | 0 | 0.002104 | 0.246334 | 5,046 | 138 | 170 | 36.565217 | 0.835919 | 0.291518 | 0 | 0.214286 | 0 | 0 | 0.053444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.153061 | 0 | 0.306122 | 0.030612 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fd3ac7c1ba41bd5ab199c3429b9b16299c4d677 | 3,677 | py | Python | get_images.py | agnes-yang/firecam | 9282d1b5b83be3abf6a137f7a72c090a9eca05f6 | [
"Apache-2.0"
] | 10 | 2019-12-19T02:37:33.000Z | 2021-12-07T04:47:08.000Z | get_images.py | agnes-yang/firecam | 9282d1b5b83be3abf6a137f7a72c090a9eca05f6 | [
"Apache-2.0"
] | 5 | 2019-10-27T23:22:52.000Z | 2020-02-13T23:08:15.000Z | get_images.py | agnes-yang/firecam | 9282d1b5b83be3abf6a137f7a72c090a9eca05f6 | [
"Apache-2.0"
] | 13 | 2019-09-24T18:53:24.000Z | 2021-07-16T05:57:18.000Z | # Copyright 2018 The Fuego Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 39.537634 | 144 | 0.689421 | 447 | 3,677 | 5.61745 | 0.438479 | 0.023895 | 0.010354 | 0.012744 | 0.044604 | 0.044604 | 0.044604 | 0.044604 | 0.044604 | 0.044604 | 0 | 0.015862 | 0.19418 | 3,677 | 92 | 145 | 39.967391 | 0.83159 | 0.226815 | 0 | 0.064516 | 0 | 0.048387 | 0.173111 | 0 | 0 | 0 | 0 | 0 | 0.080645 | 1 | 0.016129 | false | 0.016129 | 0.145161 | 0 | 0.16129 | 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 |
2fd4b59a4281b93484f61543a3964063cbea187d | 2,578 | py | Python | run_compile_all_cython.py | SamanFekri/BookRecommendation | 07dfa875154af39546cb263d4407339ce26d47e8 | [
"MIT"
] | null | null | null | run_compile_all_cython.py | SamanFekri/BookRecommendation | 07dfa875154af39546cb263d4407339ce26d47e8 | [
"MIT"
] | null | null | null | run_compile_all_cython.py | SamanFekri/BookRecommendation | 07dfa875154af39546cb263d4407339ce26d47e8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on 30/03/2019
@author: Maurizio Ferrari Dacrema
"""
import sys, glob, traceback, os
from CythonCompiler.run_compile_subprocess import run_compile_subprocess
if __name__ == '__main__':
# cython_file_list = glob.glob('**/*.pyx', recursive=True)
subf... | 28.644444 | 137 | 0.643134 | 324 | 2,578 | 4.762346 | 0.333333 | 0.081659 | 0.072586 | 0.062216 | 0.207388 | 0.17628 | 0.139987 | 0.08814 | 0.08814 | 0.08814 | 0 | 0.008024 | 0.226532 | 2,578 | 90 | 138 | 28.644444 | 0.765797 | 0.074864 | 0 | 0.215686 | 0 | 0 | 0.194105 | 0.048842 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.019608 | 0.039216 | 0 | 0.039216 | 0.137255 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fd84b89ad959d00f7cb28ec23fef9355fc7136b | 1,473 | py | Python | angr/procedures/posix/getenv.py | BA7JCM/angr | 187a713c35759d998d93dfc5280630976d42d717 | [
"BSD-2-Clause"
] | null | null | null | angr/procedures/posix/getenv.py | BA7JCM/angr | 187a713c35759d998d93dfc5280630976d42d717 | [
"BSD-2-Clause"
] | null | null | null | angr/procedures/posix/getenv.py | BA7JCM/angr | 187a713c35759d998d93dfc5280630976d42d717 | [
"BSD-2-Clause"
] | null | null | null | import angr
######################################
# getenv
######################################
class getenv(angr.SimProcedure):
'''
The getenv() function searches the environment list to find the
environment variable name, and returns a pointer to the
corresponding value string.
'''
#pylin... | 39.810811 | 120 | 0.596062 | 199 | 1,473 | 4.236181 | 0.386935 | 0.117438 | 0.071174 | 0.067616 | 0.207592 | 0.180308 | 0.066429 | 0 | 0 | 0 | 0 | 0.005357 | 0.239647 | 1,473 | 36 | 121 | 40.916667 | 0.747321 | 0.126273 | 0 | 0 | 0 | 0 | 0.035413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.045455 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fd88f709bdb101553b7e313c87147a9ef4f3e60 | 1,571 | py | Python | pyblaze/utils/examples/normalizing_flows.py | Greenroom-Robotics/pyblaze | e45e27fbd400b6ae2365ad2347165c7b5154ac51 | [
"MIT"
] | 20 | 2020-03-29T08:43:15.000Z | 2021-12-17T21:38:17.000Z | pyblaze/utils/examples/normalizing_flows.py | borchero/bxtorch | 8d01568c8ee9fc05f5b3c84ca3ec68ea74eef9eb | [
"MIT"
] | 4 | 2020-10-27T20:43:40.000Z | 2021-04-29T12:19:39.000Z | pyblaze/utils/examples/normalizing_flows.py | borchero/bxtorch | 8d01568c8ee9fc05f5b3c84ca3ec68ea74eef9eb | [
"MIT"
] | 2 | 2020-08-16T18:10:49.000Z | 2021-03-31T23:17:28.000Z | # pylint: disable=missing-docstring
import torch
import torch.optim as optim
from torch.utils.data.dataset import TensorDataset
import matplotlib.pyplot as plt
import pyblaze.nn as xnn
import pyblaze.plot as P
def train(engine, data, lr=1e-2, epochs=1000):
data_ = torch.as_tensor(data, dtype=torch.float)
# pyl... | 29.092593 | 100 | 0.615532 | 206 | 1,571 | 4.621359 | 0.456311 | 0.016807 | 0.015756 | 0.021008 | 0.072479 | 0.008403 | 0 | 0 | 0 | 0 | 0 | 0.029851 | 0.232336 | 1,571 | 53 | 101 | 29.641509 | 0.759536 | 0.037556 | 0 | 0.095238 | 0 | 0 | 0.033135 | 0.016567 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.214286 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fd8994fcfe97d0f5782b8f01e1cbbee48079342 | 4,896 | py | Python | pracnbastats/team.py | practicallypredictable/pracnbstats | 55cd6e285394686a62f3d1535a5b3468cd5410ea | [
"MIT"
] | null | null | null | pracnbastats/team.py | practicallypredictable/pracnbstats | 55cd6e285394686a62f3d1535a5b3468cd5410ea | [
"MIT"
] | null | null | null | pracnbastats/team.py | practicallypredictable/pracnbstats | 55cd6e285394686a62f3d1535a5b3468cd5410ea | [
"MIT"
] | null | null | null | import numpy as np
from . import params
from . import scrape
from . import utils
from . import league
class BoxScores(league.BoxScores):
def __init__(
self, *, scraper,
season=params.Season.default(),
season_type=params.SeasonType.default(),
date_from=params.DateFro... | 30.409938 | 70 | 0.500817 | 483 | 4,896 | 4.795031 | 0.250518 | 0.044905 | 0.01943 | 0.015544 | 0.143782 | 0.050086 | 0.050086 | 0.050086 | 0.050086 | 0 | 0 | 0.000975 | 0.371324 | 4,896 | 160 | 71 | 30.6 | 0.751462 | 0.005515 | 0 | 0.137255 | 0 | 0 | 0.120814 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026144 | false | 0 | 0.03268 | 0 | 0.078431 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fde19d1fd4d8c645e2a58569add1946141ead92 | 3,429 | py | Python | aishell/prepare_data.py | luweishuang/GSoC-2019-ASR-Pipeline | db43575418d57711e8be2ea83c32b931b90fa814 | [
"MIT"
] | 1 | 2019-12-25T03:37:01.000Z | 2019-12-25T03:37:01.000Z | aishell/prepare_data.py | luweishuang/GSoC-2019-ASR-Pipeline | db43575418d57711e8be2ea83c32b931b90fa814 | [
"MIT"
] | null | null | null | aishell/prepare_data.py | luweishuang/GSoC-2019-ASR-Pipeline | db43575418d57711e8be2ea83c32b931b90fa814 | [
"MIT"
] | 1 | 2020-03-20T07:59:37.000Z | 2020-03-20T07:59:37.000Z | """
Command : prepare_data.py --src [...] --dst [...]
"""
import argparse
import os
import sys
from tqdm import tqdm
def findaudiofiles(dir):
files = []
for dirpath, _, filenames in os.walk(dir):
for filename in filenames:
if filename.endswith(".wav"):
files.append(os.path.... | 29.560345 | 89 | 0.580927 | 443 | 3,429 | 4.417607 | 0.316027 | 0.030659 | 0.030659 | 0.018396 | 0.100664 | 0.043945 | 0.022483 | 0.022483 | 0 | 0 | 0 | 0.004736 | 0.261009 | 3,429 | 115 | 90 | 29.817391 | 0.767561 | 0.083115 | 0 | 0.038961 | 0 | 0 | 0.130838 | 0.012156 | 0 | 0 | 0 | 0 | 0.025974 | 1 | 0.025974 | false | 0 | 0.051948 | 0 | 0.116883 | 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 |
2fe14f420e86345764e26b8b68fa3a9d231ede94 | 7,717 | py | Python | ddpg.py | fengredrum/DDPG-v2 | 78d7bfbedb52b4dec76d2723f4e5d04d340f1275 | [
"MIT"
] | 3 | 2018-12-26T09:33:30.000Z | 2020-04-22T12:11:30.000Z | ddpg.py | fengredrum/DDPG-v2 | 78d7bfbedb52b4dec76d2723f4e5d04d340f1275 | [
"MIT"
] | null | null | null | ddpg.py | fengredrum/DDPG-v2 | 78d7bfbedb52b4dec76d2723f4e5d04d340f1275 | [
"MIT"
] | 1 | 2018-12-20T08:19:08.000Z | 2018-12-20T08:19:08.000Z | import time
import numpy as np
from replayBuffer import Memory
from network import *
class DDPG:
"""docstring for DDPG"""
def __init__(self, sess, env, args):
self.s_dim = env.observation_space.shape[0]
self.act_dim = env.action_space.shape[0]
self.sess = sess
self.args = args... | 51.791946 | 120 | 0.621485 | 1,022 | 7,717 | 4.446184 | 0.181018 | 0.035651 | 0.017606 | 0.029269 | 0.387544 | 0.25132 | 0.193222 | 0.18794 | 0.166813 | 0.109155 | 0 | 0.008487 | 0.267073 | 7,717 | 148 | 121 | 52.141892 | 0.794908 | 0.041208 | 0 | 0.078125 | 0 | 0 | 0.019093 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070313 | false | 0 | 0.03125 | 0 | 0.117188 | 0.007813 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fe4fadf475b13cfb0692513254c3cb049b9b1c5 | 3,025 | py | Python | chainlet_unittests/test_grammar/test_subscription.py | maxfischer2781/chainlet | 4e17f9992b4780bd0d9309202e2847df640bffe8 | [
"MIT"
] | 1 | 2017-11-22T21:23:34.000Z | 2017-11-22T21:23:34.000Z | chainlet_unittests/test_grammar/test_subscription.py | maxfischer2781/chainlet | 4e17f9992b4780bd0d9309202e2847df640bffe8 | [
"MIT"
] | 10 | 2017-02-16T16:20:09.000Z | 2018-03-12T16:57:38.000Z | chainlet_unittests/test_grammar/test_subscription.py | maxfischer2781/chainlet | 4e17f9992b4780bd0d9309202e2847df640bffe8 | [
"MIT"
] | null | null | null | import itertools
import unittest
from chainlet.dataflow import MergeLink
from chainlet_unittests.utility import Adder
class ChainSubscription(unittest.TestCase):
def test_pair(self):
"""Subscribe chain[i:j:k] for `a >> b`"""
elements = [Adder(val) for val in (0, -2, -1E6)]
for elements i... | 44.485294 | 120 | 0.596364 | 347 | 3,025 | 5.0317 | 0.210375 | 0.178694 | 0.068729 | 0.060137 | 0.571019 | 0.44559 | 0.365979 | 0.306987 | 0.306987 | 0.292096 | 0 | 0.007878 | 0.286612 | 3,025 | 67 | 121 | 45.149254 | 0.801205 | 0.042975 | 0 | 0.425926 | 0 | 0 | 0.025009 | 0 | 0 | 0 | 0 | 0 | 0.203704 | 1 | 0.12963 | false | 0 | 0.074074 | 0.055556 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fe84a2906f5bf097d1442024ee1714c19469089 | 2,727 | py | Python | tests/test_rules.py | f213/richtypo.py | 717cf4b640289c410b5ecddbd240d7cc818b8b68 | [
"MIT"
] | 9 | 2017-01-12T16:52:35.000Z | 2020-11-08T19:08:34.000Z | tests/test_rules.py | f213/richtypo.py | 717cf4b640289c410b5ecddbd240d7cc818b8b68 | [
"MIT"
] | 115 | 2018-06-12T20:48:09.000Z | 2020-07-29T02:14:58.000Z | tests/test_rules.py | f213/richtypo.py | 717cf4b640289c410b5ecddbd240d7cc818b8b68 | [
"MIT"
] | 1 | 2022-02-10T06:40:58.000Z | 2022-02-10T06:40:58.000Z | # -*- coding: utf-8
import re
import six
from richtypo import Richtypo
from richtypo.rules import ABRule, Rule
try:
from unittest.mock import patch
except ImportError:
from mock import patch
def test_rule_generic():
r = Rule(
pattern='b{2}',
replacement='c'
)
assert r.apply('abb... | 20.350746 | 70 | 0.604327 | 364 | 2,727 | 4.337912 | 0.258242 | 0.048765 | 0.053198 | 0.032932 | 0.395187 | 0.372388 | 0.349588 | 0.349588 | 0.295124 | 0.243192 | 0 | 0.011341 | 0.256326 | 2,727 | 133 | 71 | 20.503759 | 0.767258 | 0.059406 | 0 | 0.382979 | 0 | 0 | 0.082482 | 0.042419 | 0 | 0 | 0 | 0 | 0.138298 | 1 | 0.117021 | false | 0 | 0.074468 | 0 | 0.191489 | 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 |
2fe8b058bff633879ee2bcceb0dc667d24109f50 | 786 | py | Python | accounts/urls.py | UTpay/UTpay | 5e43f07f9046781ab2b50ada3c3a022d13da1765 | [
"MIT"
] | 1 | 2017-11-04T20:33:04.000Z | 2017-11-04T20:33:04.000Z | accounts/urls.py | UTpay/utpay | 5e43f07f9046781ab2b50ada3c3a022d13da1765 | [
"MIT"
] | 7 | 2020-06-05T17:38:37.000Z | 2022-03-11T23:17:27.000Z | accounts/urls.py | UTpay/UTpay | 5e43f07f9046781ab2b50ada3c3a022d13da1765 | [
"MIT"
] | null | null | null | from django.contrib.auth import views as auth_views
from django.urls import path
from .views import *
app_name = 'accounts'
urlpatterns = [
path('signup/', SignUpView.as_view(), name='signup'),
path('activation/<key>/', ActivationView.as_view(), name='activation'),
path('login/', auth_views.LoginView.as_v... | 46.235294 | 96 | 0.717557 | 97 | 786 | 5.649485 | 0.350515 | 0.087591 | 0.109489 | 0.09854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100509 | 786 | 16 | 97 | 49.125 | 0.775106 | 0 | 0 | 0 | 0 | 0 | 0.270992 | 0.064886 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2feaafe4312b2826f2437121c11a4ae1d7ccd4e8 | 10,940 | py | Python | latest version/web/index.py | Kanae25805/Arcaea-server | 0218e797aec835e07488a1dfbd121925d56245b5 | [
"MIT"
] | null | null | null | latest version/web/index.py | Kanae25805/Arcaea-server | 0218e797aec835e07488a1dfbd121925d56245b5 | [
"MIT"
] | null | null | null | latest version/web/index.py | Kanae25805/Arcaea-server | 0218e797aec835e07488a1dfbd121925d56245b5 | [
"MIT"
] | null | null | null | from flask import (
Blueprint, flash, g, redirect, render_template, request, url_for
)
from web.login import login_required
from werkzeug.utils import secure_filename
import sqlite3
import web.webscore
import web.system
import time
import server.arcscore
import os
UPLOAD_FOLDER = 'database'
ALLOWED_EXTENSIONS = {'... | 30.304709 | 139 | 0.522121 | 1,262 | 10,940 | 4.38748 | 0.177496 | 0.018422 | 0.046957 | 0.054 | 0.484017 | 0.443742 | 0.382156 | 0.355066 | 0.324183 | 0.312805 | 0 | 0.012717 | 0.345887 | 10,940 | 360 | 140 | 30.388889 | 0.76104 | 0.009049 | 0 | 0.491639 | 0 | 0.003344 | 0.176056 | 0.041287 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046823 | false | 0.003344 | 0.0301 | 0.010033 | 0.160535 | 0.010033 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2feca74f95fd3ef72f4807ca5abf86a33a361fda | 14,122 | py | Python | taggd/core/demultiplex.py | jfnavarro/taggd | c423a4bb8a2afc1ffaabc6704a8968dc3e829b4f | [
"BSD-3-Clause"
] | 3 | 2015-05-07T12:23:12.000Z | 2019-12-07T11:30:43.000Z | taggd/core/demultiplex.py | JoelSjostrand/taggd | d778dcce5205ca61bd82cb518854583f32f63baf | [
"BSD-3-Clause"
] | 1 | 2017-06-29T11:49:28.000Z | 2017-06-29T17:59:03.000Z | taggd/core/demultiplex.py | JoelSjostrand/taggd | d778dcce5205ca61bd82cb518854583f32f63baf | [
"BSD-3-Clause"
] | 3 | 2015-05-11T08:00:03.000Z | 2020-11-30T07:49:27.000Z | """
Runs taggd, a tool to demultiplex (link molecular barcodes back to) a file of genetic reads,
typically obtained by sequencing. For matched reads, the barcode and its related properties
are added to the read. Unmatched reads, ambiguously matched reads, and stats are by default
produced as output files as well.
The... | 52.303704 | 195 | 0.599278 | 1,651 | 14,122 | 5.028468 | 0.20533 | 0.024934 | 0.047097 | 0.020597 | 0.283064 | 0.215972 | 0.174175 | 0.150325 | 0.133341 | 0.112985 | 0 | 0.006452 | 0.29755 | 14,122 | 269 | 196 | 52.498141 | 0.830444 | 0.087877 | 0 | 0.125 | 0 | 0.009259 | 0.333489 | 0.008958 | 0.00463 | 0 | 0 | 0 | 0 | 1 | 0.00463 | false | 0 | 0.037037 | 0 | 0.041667 | 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 |
2fed9c1cc996668efe8fcc3cc02dc64126644948 | 18,586 | py | Python | plots_matlabformat.py | apiasecki/benthic_calibration | 739a42096018f51af2c2043413b90aa072fcd81d | [
"MIT"
] | null | null | null | plots_matlabformat.py | apiasecki/benthic_calibration | 739a42096018f51af2c2043413b90aa072fcd81d | [
"MIT"
] | null | null | null | plots_matlabformat.py | apiasecki/benthic_calibration | 739a42096018f51af2c2043413b90aa072fcd81d | [
"MIT"
] | null | null | null | # THIS TAKES AN ALREADY FORMATED DATA TABLE from matlab AND DOES THE REGRESSIONS
# IT ALSO MAKES THE PLOTS
# LAST EDITED 11-29-17
import pandas
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from pylab import *
from pyteomics import mass # can do cool isotope math stuff, not us... | 46.698492 | 112 | 0.620144 | 2,961 | 18,586 | 3.783857 | 0.116852 | 0.017137 | 0.029008 | 0.040164 | 0.535077 | 0.464834 | 0.432703 | 0.37076 | 0.36362 | 0.315602 | 0 | 0.085677 | 0.137146 | 18,586 | 397 | 113 | 46.816121 | 0.612958 | 0.421554 | 0 | 0.123762 | 0 | 0 | 0.175914 | 0.007764 | 0.034653 | 0 | 0 | 0 | 0 | 1 | 0.009901 | false | 0 | 0.029703 | 0.00495 | 0.049505 | 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 |
2fef0f20d9583beaad642d2b113a19d757ae987a | 36,252 | py | Python | ai_pomdp_agent.py | Grottoh/Deep-Active-Inference-for-Partially-Observable-MDPs | 11fedf09cefaada3dd60f1af430d59d87cbd706e | [
"MIT"
] | 8 | 2020-09-17T06:48:33.000Z | 2022-01-08T16:51:20.000Z | ai_pomdp_agent.py | pl-robotdecision/Deep-Active-Inference-for-Partially-Observable-MDPs | 11fedf09cefaada3dd60f1af430d59d87cbd706e | [
"MIT"
] | null | null | null | ai_pomdp_agent.py | pl-robotdecision/Deep-Active-Inference-for-Partially-Observable-MDPs | 11fedf09cefaada3dd60f1af430d59d87cbd706e | [
"MIT"
] | 1 | 2021-01-13T12:23:35.000Z | 2021-01-13T12:23:35.000Z | __author__ = "Otto van der Himst"
__credits__ = "Otto van der Himst, Pablo Lanillos"
__version__ = "1.0"
__email__ = "o.vanderhimst@student.ru.nl"
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import datetime
import sys
import gym
import ... | 50.702098 | 232 | 0.594698 | 4,754 | 36,252 | 4.306689 | 0.127472 | 0.013676 | 0.011722 | 0.011625 | 0.387907 | 0.287926 | 0.229804 | 0.201377 | 0.162255 | 0.148188 | 0 | 0.021237 | 0.305087 | 36,252 | 715 | 233 | 50.702098 | 0.791481 | 0.173784 | 0 | 0.180085 | 0 | 0.002119 | 0.063631 | 0.018343 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052966 | false | 0 | 0.023305 | 0.002119 | 0.129237 | 0.025424 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fefb9f1bc9de1b69287eaed8f707942f874fa69 | 2,465 | py | Python | src/BribeNet/bribery/temporal/action/briberyAction.py | RobMurray98/BribeNet | 09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc | [
"MIT"
] | null | null | null | src/BribeNet/bribery/temporal/action/briberyAction.py | RobMurray98/BribeNet | 09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc | [
"MIT"
] | null | null | null | src/BribeNet/bribery/temporal/action/briberyAction.py | RobMurray98/BribeNet | 09ddd8f15d9ab5fac44ae516ed92c6ba5e5119bc | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from typing import List
from BribeNet.helpers.bribeNetException import BribeNetException
class BriberyActionExecutedMultipleTimesException(BribeNetException):
pass
class BriberyActionTimeNotCorrectException(BribeNetException):
pass
class BriberyAction(ABC):
def __... | 34.71831 | 119 | 0.669371 | 236 | 2,465 | 6.762712 | 0.338983 | 0.06015 | 0.037594 | 0.030075 | 0.095238 | 0.082707 | 0.045113 | 0.045113 | 0.045113 | 0 | 0 | 0 | 0.270994 | 2,465 | 70 | 120 | 35.214286 | 0.888147 | 0.177688 | 0 | 0.238095 | 0 | 0 | 0.105455 | 0.029091 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0.047619 | 0.119048 | 0.047619 | 0.404762 | 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 |
2fefd6e5e58e9aad34db52d1d9799e3ab83c554a | 4,269 | py | Python | jax_md/quantity.py | niklasschmitz/jax-md | 5702b9a852d990ff1f7bae87bf06842734df1a90 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | jax_md/quantity.py | niklasschmitz/jax-md | 5702b9a852d990ff1f7bae87bf06842734df1a90 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | jax_md/quantity.py | niklasschmitz/jax-md | 5702b9a852d990ff1f7bae87bf06842734df1a90 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 29.441379 | 79 | 0.69829 | 643 | 4,269 | 4.497667 | 0.339036 | 0.020747 | 0.017981 | 0.008299 | 0.118257 | 0.091286 | 0.029737 | 0.029737 | 0.029737 | 0 | 0 | 0.025123 | 0.188803 | 4,269 | 144 | 80 | 29.645833 | 0.809991 | 0.309909 | 0 | 0.089744 | 0 | 0 | 0.051478 | 0 | 0 | 0 | 0 | 0.006944 | 0 | 1 | 0.141026 | false | 0.038462 | 0.102564 | 0.025641 | 0.487179 | 0.012821 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2fefd9d669adc52d9fc25135e72257c4fc66d661 | 9,748 | py | Python | nsfiu/support/Python/Micronix.py | TobiasSchof/KPIC | 619ea31d9705c0168220d79f5d2f6f70535ca416 | [
"Unlicense"
] | null | null | null | nsfiu/support/Python/Micronix.py | TobiasSchof/KPIC | 619ea31d9705c0168220d79f5d2f6f70535ca416 | [
"Unlicense"
] | null | null | null | nsfiu/support/Python/Micronix.py | TobiasSchof/KPIC | 619ea31d9705c0168220d79f5d2f6f70535ca416 | [
"Unlicense"
] | null | null | null | from serial import Serial
from time import sleep
from telnetlib import Telnet
from logging import debug
class TimeoutError(Exception):
"""An error to be thrown for a movement timeout"""
pass
# TODO: Can I check which axis are connected in open_x?
class Micronix_Device():
"""Class for controlling Micronex... | 31.856209 | 91 | 0.572733 | 1,298 | 9,748 | 4.276579 | 0.20339 | 0.034048 | 0.021798 | 0.016393 | 0.366961 | 0.334714 | 0.290758 | 0.24428 | 0.233471 | 0.20771 | 0 | 0.004769 | 0.333197 | 9,748 | 306 | 92 | 31.856209 | 0.849231 | 0.387156 | 0 | 0.359649 | 0 | 0 | 0.140275 | 0 | 0 | 0 | 0 | 0.006536 | 0.04386 | 1 | 0.140351 | false | 0.008772 | 0.035088 | 0 | 0.280702 | 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 |
2ff20fd15245634531744ee562835b4c0d1a75be | 2,251 | py | Python | tests/test_pipeline_wgbs_index.py | Multiscale-Genomics/mg-process-fastq | 50c7115c0c1a6af48dc34f275e469d1b9eb02999 | [
"Apache-2.0"
] | 2 | 2017-07-31T11:45:46.000Z | 2017-08-09T09:32:35.000Z | tests/test_pipeline_wgbs_index.py | Multiscale-Genomics/mg-process-fastq | 50c7115c0c1a6af48dc34f275e469d1b9eb02999 | [
"Apache-2.0"
] | 28 | 2016-11-17T11:12:32.000Z | 2018-11-02T14:09:13.000Z | tests/test_pipeline_wgbs_index.py | Multiscale-Genomics/mg-process-fastq | 50c7115c0c1a6af48dc34f275e469d1b9eb02999 | [
"Apache-2.0"
] | 4 | 2017-02-12T17:47:21.000Z | 2018-05-29T08:16:27.000Z | """
.. See the NOTICE file distributed with this work for additional information
regarding copyright ownership.
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.... | 30.418919 | 100 | 0.67259 | 306 | 2,251 | 4.787582 | 0.480392 | 0.040956 | 0.030717 | 0.040956 | 0.049147 | 0.049147 | 0 | 0 | 0 | 0 | 0 | 0.013302 | 0.231897 | 2,251 | 73 | 101 | 30.835616 | 0.834008 | 0.377166 | 0 | 0 | 0 | 0 | 0.176856 | 0.069869 | 0 | 0 | 0 | 0 | 0.102564 | 1 | 0.025641 | false | 0 | 0.128205 | 0 | 0.153846 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2ff388db8366ea8591858ff099655cca6fbb8662 | 7,625 | py | Python | finance_manager/functions.py | jehboyes/finance_manager | d310a3a4c2c6b6e5564e2a83e3f355b23266b773 | [
"MIT"
] | null | null | null | finance_manager/functions.py | jehboyes/finance_manager | d310a3a4c2c6b6e5564e2a83e3f355b23266b773 | [
"MIT"
] | null | null | null | finance_manager/functions.py | jehboyes/finance_manager | d310a3a4c2c6b6e5564e2a83e3f355b23266b773 | [
"MIT"
] | null | null | null | """
A collection of generic functions and iterators intended for use in various parts of the App,
and will probably be of use to future development.
"""
from importlib import import_module as imp
from os import listdir, path
import sys
import functools
import click
class periods():
"""
Iterator for financia... | 26.943463 | 107 | 0.557902 | 953 | 7,625 | 4.370409 | 0.342078 | 0.026891 | 0.010084 | 0.011525 | 0.061945 | 0.036735 | 0.036735 | 0.036735 | 0.036735 | 0.02425 | 0 | 0.017649 | 0.323803 | 7,625 | 282 | 108 | 27.039007 | 0.790147 | 0.429639 | 0 | 0.106195 | 0 | 0 | 0.100908 | 0.018418 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079646 | false | 0.026549 | 0.044248 | 0 | 0.19469 | 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 |
2ff4614b2c2823a60726232798f4f0d9f9766030 | 5,157 | py | Python | tests/test_openml.py | carefree0910/carefree-learn-benchmark | d5507c1719e0b625230e3befc23149a96e057d14 | [
"MIT"
] | null | null | null | tests/test_openml.py | carefree0910/carefree-learn-benchmark | d5507c1719e0b625230e3befc23149a96e057d14 | [
"MIT"
] | null | null | null | tests/test_openml.py | carefree0910/carefree-learn-benchmark | d5507c1719e0b625230e3befc23149a96e057d14 | [
"MIT"
] | null | null | null | import os
import cflearn
import platform
import unittest
import numpy as np
from typing import Dict
from cflearn_benchmark import Benchmark
from scipy.sparse import csr_matrix
from cftool.ml import patterns_type
from cftool.ml import Tracker
from cftool.ml import Comparer
from cftool.misc import timestamp
from cfdata... | 38.774436 | 90 | 0.587745 | 549 | 5,157 | 5.251366 | 0.336976 | 0.027749 | 0.012487 | 0.01873 | 0.055498 | 0.055498 | 0.055498 | 0 | 0 | 0 | 0 | 0.016802 | 0.330619 | 5,157 | 132 | 91 | 39.068182 | 0.818366 | 0.023657 | 0 | 0 | 0 | 0 | 0.039364 | 0.008946 | 0 | 0 | 0 | 0 | 0.017544 | 1 | 0.026316 | false | 0 | 0.166667 | 0 | 0.27193 | 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 |
2ff8aa8452d3785af93c4d934bd42e377d0cab4b | 6,117 | py | Python | final/predict.py | terrifyzhao/information_extract | d950c25911f5a8d9f7e10eb9ecfd53f897cef8d0 | [
"Apache-2.0"
] | null | null | null | final/predict.py | terrifyzhao/information_extract | d950c25911f5a8d9f7e10eb9ecfd53f897cef8d0 | [
"Apache-2.0"
] | null | null | null | final/predict.py | terrifyzhao/information_extract | d950c25911f5a8d9f7e10eb9ecfd53f897cef8d0 | [
"Apache-2.0"
] | null | null | null | import json
from final.model import model
import os
import numpy as np
import tensorflow as tf
import jieba
from tqdm import tqdm
import ahocorasick
from gensim.models import Word2Vec
os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
path = os.getcwd()
graph = tf.get_default_graph()
train_data = json.load(open(path + '/dat... | 32.194737 | 102 | 0.541605 | 956 | 6,117 | 3.282427 | 0.172594 | 0.020395 | 0.007648 | 0.007648 | 0.205864 | 0.101976 | 0.053537 | 0.022307 | 0 | 0 | 0 | 0.032235 | 0.310283 | 6,117 | 189 | 103 | 32.365079 | 0.711543 | 0.026647 | 0 | 0.013158 | 0 | 0 | 0.033132 | 0.008914 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039474 | false | 0 | 0.059211 | 0 | 0.144737 | 0.006579 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2ff8c1d733f52e6e0c92e54a6bb944e263727097 | 16,976 | py | Python | agent/state/model.py | abiro/minerl-agent | c33361c4a5ad0d5fe903f211665ff4da16439b69 | [
"MIT"
] | null | null | null | agent/state/model.py | abiro/minerl-agent | c33361c4a5ad0d5fe903f211665ff4da16439b69 | [
"MIT"
] | null | null | null | agent/state/model.py | abiro/minerl-agent | c33361c4a5ad0d5fe903f211665ff4da16439b69 | [
"MIT"
] | null | null | null | import os
from collections import defaultdict
import logging
from operator import itemgetter
from pathlib import Path
from typing import List, Optional, Tuple, Dict, Iterable, Iterator
import time
import numpy as np
import torch as T
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
fro... | 33.615842 | 79 | 0.568332 | 2,128 | 16,976 | 4.322838 | 0.173872 | 0.025111 | 0.018263 | 0.02435 | 0.302315 | 0.257854 | 0.211545 | 0.179585 | 0.163387 | 0.147842 | 0 | 0.026447 | 0.325106 | 16,976 | 504 | 80 | 33.68254 | 0.776469 | 0.129889 | 0 | 0.267062 | 0 | 0 | 0.019123 | 0 | 0 | 0 | 0 | 0.005952 | 0 | 1 | 0.091988 | false | 0 | 0.04451 | 0.011869 | 0.198813 | 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 |
2ffe22f93b98651c83789010c629f07c9626d409 | 475 | py | Python | src/maximize_product_of_array.py | marco-zangari/code-katas | 1dfda1cfbbe8687b17e97e414358b38d964df675 | [
"MIT"
] | null | null | null | src/maximize_product_of_array.py | marco-zangari/code-katas | 1dfda1cfbbe8687b17e97e414358b38d964df675 | [
"MIT"
] | null | null | null | src/maximize_product_of_array.py | marco-zangari/code-katas | 1dfda1cfbbe8687b17e97e414358b38d964df675 | [
"MIT"
] | null | null | null | """Maximize_product_of_arry(array series#2), Codewars Kata, level 7."""
def max_product(li, n):
"""Return maxima(not maximum) product from a list from the set number.
input: list of integers
output: integer, product of given integers
ex: maxProduct ({4,3,5} , 2) returns return 20
since the s... | 26.388889 | 74 | 0.631579 | 75 | 475 | 3.92 | 0.666667 | 0.061224 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03966 | 0.256842 | 475 | 17 | 75 | 27.941176 | 0.793201 | 0.633684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 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 |
640e5f2dbc283de85c337ecaac27efdeff2ecfa4 | 352 | py | Python | file_open.py | farhan1503001/Data-structures-with-python-Coursera | 04c04fea15f96b83056d846a8cc59f94d9df66ca | [
"MIT"
] | null | null | null | file_open.py | farhan1503001/Data-structures-with-python-Coursera | 04c04fea15f96b83056d846a8cc59f94d9df66ca | [
"MIT"
] | null | null | null | file_open.py | farhan1503001/Data-structures-with-python-Coursera | 04c04fea15f96b83056d846a8cc59f94d9df66ca | [
"MIT"
] | null | null | null | #Opening file
filename=open('words.txt')
for line in filename:
print(line.upper().rstrip())
filename.close()
second_file=open('mbox.txt')
sum=0
count=0
for line in second_file:
if line.startswith("X-DSPAM-Confidence:"):
sum=sum+float(line[-7:-1])
count=count+1
print("Average sp... | 20.705882 | 47 | 0.644886 | 51 | 352 | 4.411765 | 0.54902 | 0.062222 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017731 | 0.198864 | 352 | 17 | 48 | 20.705882 | 0.780142 | 0.034091 | 0 | 0 | 0 | 0 | 0.185185 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
6412c114e0148cac74c8016e5dd9e4636887e532 | 2,196 | py | Python | authentik/root/asgi.py | BeryJu/passbook | 350f0d836580f4411524614f361a76c4f27b8a2d | [
"MIT"
] | 15 | 2020-01-05T09:09:57.000Z | 2020-11-28T05:27:39.000Z | authentik/root/asgi.py | BeryJu/passbook | 350f0d836580f4411524614f361a76c4f27b8a2d | [
"MIT"
] | 302 | 2020-01-21T08:03:59.000Z | 2020-12-04T05:04:57.000Z | authentik/root/asgi.py | BeryJu/passbook | 350f0d836580f4411524614f361a76c4f27b8a2d | [
"MIT"
] | 3 | 2020-03-04T08:21:59.000Z | 2020-08-01T20:37:18.000Z | """
ASGI config for authentik project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import django
from channels.routing import ProtocolTypeRouter, URLRouter
from defusedxml import ... | 30.929577 | 93 | 0.652095 | 250 | 2,196 | 5.624 | 0.532 | 0.042674 | 0.027738 | 0.02845 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015115 | 0.246812 | 2,196 | 70 | 94 | 31.371429 | 0.834946 | 0.285519 | 0 | 0 | 0 | 0 | 0.123198 | 0.033421 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.15 | 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 |
6412f72910f9d2b8e997d384ba6143ae4869f3af | 4,922 | py | Python | pysaintcoinach/ex/variant2/__init__.py | icykoneko/saintcoinach-py | 66898385e1198203a7ec9da83787427bf6fe5c83 | [
"MIT"
] | 7 | 2019-11-20T17:24:49.000Z | 2022-03-29T04:17:53.000Z | pysaintcoinach/ex/variant2/__init__.py | icykoneko/saintcoinach-py | 66898385e1198203a7ec9da83787427bf6fe5c83 | [
"MIT"
] | 7 | 2019-04-08T07:36:46.000Z | 2022-01-17T22:51:54.000Z | pysaintcoinach/ex/variant2/__init__.py | icykoneko/saintcoinach-py | 66898385e1198203a7ec9da83787427bf6fe5c83 | [
"MIT"
] | 3 | 2019-04-08T08:24:22.000Z | 2021-06-27T22:19:15.000Z | from struct import unpack_from
from typing import Iterable as IterableT, TypeVar, Union, Dict
from ..datasheet import DataRowBase, IDataSheet, IDataRow
from ..column import Column
from ..relational import IRelationalDataRow
from ..relational.datasheet import IRelationalDataSheet
class SubRow(DataRowBase, IRelational... | 32.596026 | 111 | 0.645266 | 627 | 4,922 | 4.799043 | 0.15949 | 0.041874 | 0.044865 | 0.02991 | 0.585909 | 0.536058 | 0.519442 | 0.455965 | 0.455965 | 0.455965 | 0 | 0.001634 | 0.253759 | 4,922 | 150 | 112 | 32.813333 | 0.817588 | 0.004673 | 0 | 0.469027 | 0 | 0 | 0.044313 | 0 | 0 | 0 | 0.000817 | 0 | 0 | 1 | 0.19469 | false | 0 | 0.053097 | 0.053097 | 0.451327 | 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 |
641310d10a8d7e15c9a7d898de0f6cdccc1b0fc5 | 9,874 | py | Python | wurst/ecoinvent/electricity_markets.py | pjamesjoyce/wurst | 95b37e72eaa18b33bdd83cd4a51d37d9eb4ae7ba | [
"BSD-2-Clause"
] | 1 | 2022-03-29T14:59:13.000Z | 2022-03-29T14:59:13.000Z | wurst/ecoinvent/electricity_markets.py | pjamesjoyce/wurst | 95b37e72eaa18b33bdd83cd4a51d37d9eb4ae7ba | [
"BSD-2-Clause"
] | null | null | null | wurst/ecoinvent/electricity_markets.py | pjamesjoyce/wurst | 95b37e72eaa18b33bdd83cd4a51d37d9eb4ae7ba | [
"BSD-2-Clause"
] | null | null | null | from .. import toolz
from ..searching import get_many, equals
from ..transformations import rescale_exchange
from functools import partial
def get_generators_in_mix(db, name="market for electricity, high voltage"):
"""Get names of inputs to electricity mixes"""
inputs = set()
for act in db:
if act... | 51.427083 | 213 | 0.708021 | 1,204 | 9,874 | 5.70515 | 0.225083 | 0.128403 | 0.031446 | 0.036687 | 0.512738 | 0.418838 | 0.344446 | 0.30907 | 0.251274 | 0.174552 | 0 | 0.012525 | 0.199514 | 9,874 | 191 | 214 | 51.696335 | 0.856528 | 0.052967 | 0 | 0.044586 | 0 | 0.006369 | 0.587642 | 0 | 0 | 0 | 0 | 0 | 0.006369 | 1 | 0.038217 | false | 0 | 0.044586 | 0.006369 | 0.11465 | 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 |
6418b3422f4c2568aa263e251a1ee434a2dfc461 | 634 | py | Python | examples/render/render_sphere.py | jkjt/ezdxf | 2acc5611b81476ea16b98063b9f55446a9182b81 | [
"MIT"
] | 515 | 2017-01-25T05:46:52.000Z | 2022-03-29T09:52:27.000Z | examples/render/render_sphere.py | jkjt/ezdxf | 2acc5611b81476ea16b98063b9f55446a9182b81 | [
"MIT"
] | 417 | 2017-01-25T10:01:17.000Z | 2022-03-29T09:22:04.000Z | examples/render/render_sphere.py | jkjt/ezdxf | 2acc5611b81476ea16b98063b9f55446a9182b81 | [
"MIT"
] | 149 | 2017-02-01T15:52:02.000Z | 2022-03-17T10:33:38.000Z | # Copyright (c) 2020-2021, Manfred Moitzi
# License: MIT License
from pathlib import Path
import ezdxf
from ezdxf.render.forms import sphere
DIR = Path("~/Desktop/Outbox").expanduser()
doc = ezdxf.new()
doc.layers.new("form", dxfattribs={"color": 5})
doc.layers.new("csg", dxfattribs={"color": 1})
doc.layers.new("no... | 25.36 | 60 | 0.716088 | 90 | 634 | 5 | 0.544444 | 0.06 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038596 | 0.100946 | 634 | 24 | 61 | 26.416667 | 0.750877 | 0.094637 | 0 | 0 | 0 | 0 | 0.1331 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |