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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f8626522d55b3754f7c28ddbfd44245ded575b28 | 11,950 | py | Python | ironicclient/tests/unit/v1/test_allocation.py | ljmcgann/python-ironicclient | a5485dc29fe551e4cb5feaad52cd93d67b0ab53e | [
"Apache-2.0"
] | 41 | 2015-01-29T20:10:48.000Z | 2022-01-26T10:04:28.000Z | ironicclient/tests/unit/v1/test_allocation.py | ljmcgann/python-ironicclient | a5485dc29fe551e4cb5feaad52cd93d67b0ab53e | [
"Apache-2.0"
] | null | null | null | ironicclient/tests/unit/v1/test_allocation.py | ljmcgann/python-ironicclient | a5485dc29fe551e4cb5feaad52cd93d67b0ab53e | [
"Apache-2.0"
] | 46 | 2015-01-19T17:46:52.000Z | 2021-12-19T01:22:47.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# d... | 33.194444 | 78 | 0.573138 | 1,159 | 11,950 | 5.771355 | 0.155306 | 0.087457 | 0.039468 | 0.041112 | 0.6418 | 0.561519 | 0.471221 | 0.433548 | 0.415159 | 0.415159 | 0 | 0.026983 | 0.283598 | 11,950 | 359 | 79 | 33.286908 | 0.754351 | 0.04569 | 0 | 0.493243 | 0 | 0 | 0.16033 | 0.050575 | 0 | 0 | 0 | 0 | 0.162162 | 1 | 0.064189 | false | 0 | 0.02027 | 0.003378 | 0.101351 | 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 |
f8629eacf541222ae1970586720f609c2d762f08 | 1,105 | py | Python | api/routes/auth.py | rit-sse/api | 4dbd04db98284225510d9ae8249514be80d4706a | [
"MIT"
] | 1 | 2015-07-17T19:20:45.000Z | 2015-07-17T19:20:45.000Z | api/routes/auth.py | rit-sse/api | 4dbd04db98284225510d9ae8249514be80d4706a | [
"MIT"
] | 33 | 2015-07-18T02:31:51.000Z | 2015-08-04T02:07:41.000Z | api/routes/auth.py | rit-sse/api | 4dbd04db98284225510d9ae8249514be80d4706a | [
"MIT"
] | 7 | 2015-07-17T16:29:18.000Z | 2021-08-31T01:03:53.000Z | from flask import session, redirect, url_for
from flask.json import jsonify
from api import app, oauth
from api import models
@app.route("/api/v2/login")
def _get_api_v2_login():
redirect_uri = url_for("_get_api_v2_redirect", _external=True)
return oauth.google.authorize_redirect(redirect_uri)
@app.route("/... | 27.625 | 83 | 0.656109 | 148 | 1,105 | 4.668919 | 0.324324 | 0.072359 | 0.057887 | 0.075253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012182 | 0.182805 | 1,105 | 39 | 84 | 28.333333 | 0.753045 | 0 | 0 | 0 | 0 | 0 | 0.175566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.133333 | 0 | 0.433333 | 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 |
f863fdd49bdc9fc91c5a6863a1a6f2c9cb1fed2c | 418 | py | Python | mybatis/column_generator.py | xliangwu/com.caveup.machine_learn | 793131c4767f45d468a813752c07d02f623a7b99 | [
"Apache-2.0"
] | 1 | 2018-09-19T06:27:14.000Z | 2018-09-19T06:27:14.000Z | mybatis/column_generator.py | xliangwu/com.caveup.machine_learn | 793131c4767f45d468a813752c07d02f623a7b99 | [
"Apache-2.0"
] | null | null | null | mybatis/column_generator.py | xliangwu/com.caveup.machine_learn | 793131c4767f45d468a813752c07d02f623a7b99 | [
"Apache-2.0"
] | null | null | null | def column_generator():
with open('columns.csv', encoding='utf-8') as f:
for line in f:
keyword = line.strip('\n')
# <columnOverride column="tid" property="tid"/>
# print(r'<columnOverride column="{}" property="{}"/>'.format(keyword,keyword))
print(r'<ignoreCo... | 34.833333 | 91 | 0.586124 | 45 | 418 | 5.222222 | 0.622222 | 0.12766 | 0.170213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003106 | 0.229665 | 418 | 11 | 92 | 38 | 0.726708 | 0.294258 | 0 | 0 | 0 | 0 | 0.181507 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f86413e599720995225d5a002a0228bfbc9b7ed7 | 22,250 | py | Python | ttslab/voices/afrikaans_default.py | jkleczar/ttslab | 33fe0c3f88c1533816b2602b52e4162760d9c5f0 | [
"BSD-3-Clause"
] | null | null | null | ttslab/voices/afrikaans_default.py | jkleczar/ttslab | 33fe0c3f88c1533816b2602b52e4162760d9c5f0 | [
"BSD-3-Clause"
] | null | null | null | ttslab/voices/afrikaans_default.py | jkleczar/ttslab | 33fe0c3f88c1533816b2602b52e4162760d9c5f0 | [
"BSD-3-Clause"
] | 1 | 2019-02-25T10:27:41.000Z | 2019-02-25T10:27:41.000Z | # -*- coding: utf-8 -*-
""" This file contains language-specific implementation for an
Afrikaans voice.
The idea is that this file contains subclassed Voice and Phoneset
implementations. This package ttslab/voices may then also contain
speaker specific implementations e.g. "afrikaans_SPEAKER.py"
"""
fr... | 52.352941 | 177 | 0.465573 | 2,048 | 22,250 | 4.884766 | 0.23291 | 0.034386 | 0.046381 | 0.056677 | 0.423531 | 0.367053 | 0.328669 | 0.30068 | 0.223011 | 0.162535 | 0 | 0.004858 | 0.389438 | 22,250 | 424 | 178 | 52.476415 | 0.731542 | 0.078876 | 0 | 0.119883 | 0 | 0 | 0.233684 | 0.011215 | 0 | 0 | 0 | 0.002358 | 0 | 1 | 0.046784 | false | 0.002924 | 0.020468 | 0.026316 | 0.204678 | 0.002924 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f865843e860d96b7840567719ae0919a197d73ae | 144,813 | py | Python | scripts/Iodide/project_misc.py | tsherwen/sparse2spatial | 6f5240c7641ad7a894476672b78c8184c514bf87 | [
"MIT"
] | 1 | 2020-01-14T21:40:29.000Z | 2020-01-14T21:40:29.000Z | scripts/Iodide/project_misc.py | tsherwen/sparse2spatial | 6f5240c7641ad7a894476672b78c8184c514bf87 | [
"MIT"
] | null | null | null | scripts/Iodide/project_misc.py | tsherwen/sparse2spatial | 6f5240c7641ad7a894476672b78c8184c514bf87 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
This module contains analysis done for the Ocean iodide (Oi!) project
This includes presentation at conferences etc...
"""
import numpy as np
import pandas as pd
import sparse2spatial as s2s
import sparse2spatial.utils as utils
import matplotlib
import matplotlib.pyplot... | 38.048607 | 340 | 0.57818 | 19,545 | 144,813 | 4.102942 | 0.070811 | 0.008604 | 0.012557 | 0.018506 | 0.628404 | 0.593027 | 0.564059 | 0.539742 | 0.523469 | 0.501484 | 0 | 0.024791 | 0.28387 | 144,813 | 3,805 | 341 | 38.058607 | 0.748469 | 0.235414 | 0 | 0.539808 | 0 | 0.000417 | 0.122704 | 0.018779 | 0.000417 | 0 | 0 | 0.000526 | 0.001251 | 1 | 0.020008 | false | 0.000417 | 0.024177 | 0 | 0.047103 | 0.031263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f86cbd077218ced0fe45ca2c5ef698554acc3ecd | 18,995 | py | Python | server_code.py | johnr0/TaleBrush-backend | f7429e10f328087444647d5dc6bf1f3a22ccfcce | [
"BSD-3-Clause"
] | 1 | 2022-02-25T18:36:16.000Z | 2022-02-25T18:36:16.000Z | server_code.py | johnr0/Generative-Input-NLP | 9607cf2db2aa29f10d4b2179e25dc5bfc9b00288 | [
"BSD-3-Clause"
] | null | null | null | server_code.py | johnr0/Generative-Input-NLP | 9607cf2db2aa29f10d4b2179e25dc5bfc9b00288 | [
"BSD-3-Clause"
] | null | null | null | from flask import request, url_for
from flask_api import FlaskAPI, status, exceptions
from flask_cors import CORS, cross_origin
import torch
import json
import numpy as np
import torch
from modeling_gptneo import GPTNeoForCausalLM
from modeling_gpt2 import GPT2LMHeadModel
from transformers import (
GPTNeoConfig... | 41.025918 | 140 | 0.588944 | 2,080 | 18,995 | 5.128846 | 0.164423 | 0.04162 | 0.03712 | 0.016873 | 0.452006 | 0.376078 | 0.340082 | 0.322553 | 0.300244 | 0.283933 | 0 | 0.016006 | 0.319137 | 18,995 | 463 | 141 | 41.025918 | 0.808861 | 0.118189 | 0 | 0.354167 | 0 | 0 | 0.075836 | 0.029168 | 0 | 0 | 0 | 0.00216 | 0 | 1 | 0.02381 | false | 0 | 0.044643 | 0 | 0.095238 | 0.059524 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f86db685725dd6affbd6d16efda49f2dd028eb93 | 1,735 | py | Python | tests/app/test_app_service.py | 0604hx/buter | 670584e7c39c985192684c9f68f52fc69c57049c | [
"MIT"
] | 2 | 2017-11-21T10:00:47.000Z | 2018-02-02T04:40:09.000Z | tests/app/test_app_service.py | 0604hx/buter | 670584e7c39c985192684c9f68f52fc69c57049c | [
"MIT"
] | 1 | 2018-10-31T06:56:22.000Z | 2018-11-01T00:58:16.000Z | tests/app/test_app_service.py | 0604hx/buter | 670584e7c39c985192684c9f68f52fc69c57049c | [
"MIT"
] | 5 | 2017-12-14T01:07:21.000Z | 2020-04-29T02:21:46.000Z | import json
import unittest
from buter.app.services import load_from_file, detect_app_name
from buter.server import docker
from buter.util.Utils import unzip
from config import getConfig
class AppServiceTest(unittest.TestCase):
def setUp(self):
"""
这里只需要初始化 server.docker 对象
:return:
... | 30.982143 | 109 | 0.609222 | 227 | 1,735 | 4.488987 | 0.299559 | 0.041217 | 0.063788 | 0.047105 | 0.196271 | 0.170756 | 0.107949 | 0.107949 | 0.107949 | 0.107949 | 0 | 0.002996 | 0.230548 | 1,735 | 55 | 110 | 31.545455 | 0.7603 | 0.029971 | 0 | 0 | 0 | 0 | 0.145972 | 0.029679 | 0 | 0 | 0 | 0 | 0.078947 | 1 | 0.184211 | false | 0 | 0.157895 | 0 | 0.368421 | 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 |
f871c0ad8b9204fef05550a10cc4ceb534586079 | 654 | py | Python | joi2008yo/joi2008yo_e.py | Vermee81/practice-coding-contests | 78aada60fa75f208ee0eef337b33b27b1c260d18 | [
"MIT"
] | null | null | null | joi2008yo/joi2008yo_e.py | Vermee81/practice-coding-contests | 78aada60fa75f208ee0eef337b33b27b1c260d18 | [
"MIT"
] | null | null | null | joi2008yo/joi2008yo_e.py | Vermee81/practice-coding-contests | 78aada60fa75f208ee0eef337b33b27b1c260d18 | [
"MIT"
] | null | null | null | # https://atcoder.jp/contests/joi2008yo/tasks/joi2008yo_e
R, C = list(map(int, input().split()))
senbei_pos = []
ans = 0
for _ in range(R):
pos = list(map(int, input().split()))
senbei_pos.append(pos)
for bit in range(2**R):
total = 0
copied_pos = senbei_pos[:]
# Rの上限が10なので10桁の2進数になるように0で埋める
fl... | 29.727273 | 66 | 0.59633 | 100 | 654 | 3.74 | 0.42 | 0.074866 | 0.053476 | 0.080214 | 0.15508 | 0.15508 | 0.15508 | 0 | 0 | 0 | 0 | 0.045082 | 0.253823 | 654 | 21 | 67 | 31.142857 | 0.721311 | 0.12844 | 0 | 0 | 0 | 0 | 0.007055 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8724ce5a5705922dd55fcf91b7512b691dc8ab7 | 2,850 | py | Python | yttgmp3.py | RomaniukVadim/ytmp3_bot | ce3cc3cfa2098257e4ec22c019c8c33d31a73128 | [
"WTFPL"
] | 1 | 2018-03-27T00:08:26.000Z | 2018-03-27T00:08:26.000Z | yttgmp3.py | RomaniukVadim/ytmp3_bot | ce3cc3cfa2098257e4ec22c019c8c33d31a73128 | [
"WTFPL"
] | null | null | null | yttgmp3.py | RomaniukVadim/ytmp3_bot | ce3cc3cfa2098257e4ec22c019c8c33d31a73128 | [
"WTFPL"
] | 1 | 2020-06-04T02:49:20.000Z | 2020-06-04T02:49:20.000Z | #!/usr/env python3
import requests
import os
import glob
import telegram
from time import sleep
token = "token"
bot = telegram.Bot(token=token)
# Боту шлется ссылка на ютуб, он загоняет ее в bash комманду youtube-dl -x --audio-format mp3 <link>, шлет загруженный mp3 обратно клиенту
class BotHandler:
def __init__... | 30.978261 | 138 | 0.597895 | 371 | 2,850 | 4.334232 | 0.291105 | 0.052239 | 0.052239 | 0.034826 | 0.166045 | 0.116915 | 0.087065 | 0.087065 | 0.087065 | 0.06592 | 0 | 0.01122 | 0.280702 | 2,850 | 91 | 139 | 31.318681 | 0.773171 | 0.054035 | 0 | 0.157895 | 0 | 0 | 0.121752 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092105 | false | 0 | 0.065789 | 0 | 0.223684 | 0.039474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f87cfb9c6282ebda75b44ea58b3afec144dcbcf4 | 448 | py | Python | generator.py | iomintz/python-snippets | 982861c173bf4bcd5d908514a9e8b1914a580a5d | [
"CC0-1.0"
] | 2 | 2020-04-10T07:29:56.000Z | 2020-05-27T03:45:21.000Z | generator.py | iomintz/python-snippets | 982861c173bf4bcd5d908514a9e8b1914a580a5d | [
"CC0-1.0"
] | null | null | null | generator.py | iomintz/python-snippets | 982861c173bf4bcd5d908514a9e8b1914a580a5d | [
"CC0-1.0"
] | 2 | 2018-11-24T08:16:59.000Z | 2019-02-24T04:41:30.000Z | #!/usr/bin/env python3
# encoding: utf-8
# Douglas Crockford's idea for making generators
# basically "why do you need a `yield` keyword when you can just maintain some state"
# in my view, a class would be a better way to do this, and indeed, in python,
# that's how Iterators are defined.
def iter(list):
i = 0
def ... | 22.4 | 85 | 0.683036 | 81 | 448 | 3.765432 | 0.753086 | 0.032787 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022535 | 0.207589 | 448 | 19 | 86 | 23.578947 | 0.83662 | 0.622768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0 | 0 | 0.363636 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f881c0e0b875dfcd895b81b936783f36c735935f | 564 | py | Python | backend/external/docgen/request_token.py | bcgov-c/wally | 264bc5d40f9b5cf293159f1bc0424cfd9ff8aa06 | [
"Apache-2.0"
] | null | null | null | backend/external/docgen/request_token.py | bcgov-c/wally | 264bc5d40f9b5cf293159f1bc0424cfd9ff8aa06 | [
"Apache-2.0"
] | null | null | null | backend/external/docgen/request_token.py | bcgov-c/wally | 264bc5d40f9b5cf293159f1bc0424cfd9ff8aa06 | [
"Apache-2.0"
] | null | null | null | import requests
from api import config
def get_docgen_token():
params = {
"grant_type": "client_credentials",
"client_id": config.COMMON_DOCGEN_CLIENT_ID,
"client_secret": config.COMMON_DOCGEN_CLIENT_SECRET,
"scope": ""
}
req = requests.post(
config.COMMON_DOCGEN_S... | 21.692308 | 64 | 0.615248 | 63 | 564 | 5.222222 | 0.587302 | 0.109422 | 0.164134 | 0.145897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.269504 | 564 | 25 | 65 | 22.56 | 0.798544 | 0 | 0 | 0 | 0 | 0 | 0.198582 | 0.058511 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8825ad47b75cf630d4ad3f98bb97cd2847d852d | 619 | py | Python | tAPP/2/P3.py | ArvinZJC/UofG_PGT_PSD_Python | d90e9bb0b53b14c6b1d7e657c3c61e2792e0d9c4 | [
"MIT"
] | null | null | null | tAPP/2/P3.py | ArvinZJC/UofG_PGT_PSD_Python | d90e9bb0b53b14c6b1d7e657c3c61e2792e0d9c4 | [
"MIT"
] | null | null | null | tAPP/2/P3.py | ArvinZJC/UofG_PGT_PSD_Python | d90e9bb0b53b14c6b1d7e657c3c61e2792e0d9c4 | [
"MIT"
] | null | null | null | '''
Description: Problem 3 (rearrange the code)
Version: 1.0.1.20210116
Author: Arvin Zhao
Date: 2021-01-14 22:51:16
Last Editors: Arvin Zhao
LastEditTime: 2021-01-16 04:11:18
'''
def get_data():
username = input('Enter your username: ')
age = int(input('Enter your age: '))
data_tuple = (username, age)
... | 20.633333 | 74 | 0.646204 | 88 | 619 | 4.409091 | 0.613636 | 0.141753 | 0.072165 | 0.103093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 0.219709 | 619 | 30 | 75 | 20.633333 | 0.716356 | 0.350565 | 0 | 0 | 0 | 0 | 0.131646 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.266667 | 0.133333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8825cac93ae51da9c9e342930c13e66cd5b1a63 | 1,046 | py | Python | tf_trees/demo.py | hazimehh/google-research | 81ff754d88f9ad479448c78d7ab615bef140423d | [
"Apache-2.0"
] | null | null | null | tf_trees/demo.py | hazimehh/google-research | 81ff754d88f9ad479448c78d7ab615bef140423d | [
"Apache-2.0"
] | null | null | null | tf_trees/demo.py | hazimehh/google-research | 81ff754d88f9ad479448c78d7ab615bef140423d | [
"Apache-2.0"
] | null | null | null | from tensorflow import keras
# Make sure the tf_trees directory is in the search path.
from tf_trees import TEL
# The documentation of TEL can be accessed as follows
print(TEL.__doc__)
# We will fit TEL on the Boston Housing regression dataset.
# First, load the dataset.
from keras.datasets import boston_housing
(x_t... | 38.740741 | 82 | 0.772467 | 176 | 1,046 | 4.4375 | 0.511364 | 0.049936 | 0.057618 | 0.03073 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012277 | 0.143403 | 1,046 | 26 | 83 | 40.230769 | 0.859375 | 0.515296 | 0 | 0 | 0 | 0 | 0.020161 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f88367f68dcb96f708907ba780b8dfe0c11ecea5 | 725 | py | Python | tests/utils_test.py | MartinThoma/nntoolkit | 1f9eed7b6d6fdacc706060d9cbfefaa9c2d0dbf8 | [
"MIT"
] | 4 | 2015-01-26T17:56:05.000Z | 2020-04-01T05:52:00.000Z | tests/utils_test.py | MartinThoma/nntoolkit | 1f9eed7b6d6fdacc706060d9cbfefaa9c2d0dbf8 | [
"MIT"
] | 11 | 2015-01-06T10:34:36.000Z | 2021-03-22T18:29:45.000Z | tests/utils_test.py | MartinThoma/nntoolkit | 1f9eed7b6d6fdacc706060d9cbfefaa9c2d0dbf8 | [
"MIT"
] | 6 | 2015-01-02T15:02:27.000Z | 2021-05-12T18:09:35.000Z | #!/usr/bin/env python
# Core Library modules
import argparse
import os
# Third party modules
import pytest
# First party modules
import nntoolkit.utils as utils
def test_is_valid_file():
parser = argparse.ArgumentParser()
# Does exist
path = os.path.realpath(__file__)
assert utils.is_valid_file(pa... | 20.714286 | 62 | 0.704828 | 93 | 725 | 5.301075 | 0.397849 | 0.085193 | 0.097363 | 0.103448 | 0.503043 | 0.288032 | 0.20284 | 0.20284 | 0.20284 | 0.20284 | 0 | 0 | 0.193103 | 725 | 34 | 63 | 21.323529 | 0.842735 | 0.183448 | 0 | 0.266667 | 0 | 0 | 0.083904 | 0.035959 | 0 | 0 | 0 | 0 | 0.133333 | 1 | 0.133333 | false | 0 | 0.266667 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f88aa3fcd8cfa698889ea39a72ffe01decd8c2ea | 6,279 | py | Python | translator-v2.py | g-h-0-S-t/translator | 9e55b5b3a7d68b85aa718bc9eef064599b75f914 | [
"MIT"
] | 1 | 2021-07-22T14:06:08.000Z | 2021-07-22T14:06:08.000Z | translator-v2.py | g-h-0-S-t/translator | 9e55b5b3a7d68b85aa718bc9eef064599b75f914 | [
"MIT"
] | null | null | null | translator-v2.py | g-h-0-S-t/translator | 9e55b5b3a7d68b85aa718bc9eef064599b75f914 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# MIT License
#
# Copyright (c) 2021 gh0$t
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... | 34.5 | 218 | 0.645963 | 818 | 6,279 | 4.887531 | 0.380196 | 0.032516 | 0.036018 | 0.04002 | 0.311406 | 0.295398 | 0.284392 | 0.263382 | 0.253127 | 0.24062 | 0 | 0.006637 | 0.136168 | 6,279 | 181 | 219 | 34.690608 | 0.730457 | 0.316929 | 0 | 0.430233 | 0 | 0.023256 | 0.303942 | 0.104955 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011628 | false | 0.023256 | 0.104651 | 0 | 0.116279 | 0.116279 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f88e5bdd49e9b79ee78760de491336a0c465e929 | 935 | py | Python | general/tfHelper.py | jbroot/SHGAN | 9ed83f8356145adcbda219c0d9673e36109b0cb2 | [
"MIT"
] | null | null | null | general/tfHelper.py | jbroot/SHGAN | 9ed83f8356145adcbda219c0d9673e36109b0cb2 | [
"MIT"
] | null | null | null | general/tfHelper.py | jbroot/SHGAN | 9ed83f8356145adcbda219c0d9673e36109b0cb2 | [
"MIT"
] | null | null | null | import tensorflow as tf
import keras
import numpy as np
def get_bias_major_weights(model):
weights = model.get_weights()
biasMajor = []
for arrI in range(0, len(weights), 2):
inWeights = weights[arrI]
biasWeights = weights[arrI+1].reshape((1,-2))
l = np.concatenate((biasWeights, inW... | 32.241379 | 73 | 0.698396 | 126 | 935 | 5.055556 | 0.420635 | 0.037677 | 0.028257 | 0.047096 | 0.169545 | 0.10675 | 0 | 0 | 0 | 0 | 0 | 0.020861 | 0.179679 | 935 | 28 | 74 | 33.392857 | 0.809648 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.173913 | false | 0 | 0.130435 | 0.043478 | 0.478261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8900e5fac4e08162311478b3ed9cf017f5cb02c | 10,047 | py | Python | perl_io.py | hariguchi/perl_io | 1deb367faa56081b68c4eda99d364f5b533a331e | [
"MIT"
] | null | null | null | perl_io.py | hariguchi/perl_io | 1deb367faa56081b68c4eda99d364f5b533a331e | [
"MIT"
] | null | null | null | perl_io.py | hariguchi/perl_io | 1deb367faa56081b68c4eda99d364f5b533a331e | [
"MIT"
] | null | null | null | r''' perl_io - Opens a file or pipe in the Perl style
Copyright (c) 2016 Yoichi Hariguchi
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rig... | 33.602007 | 78 | 0.54902 | 1,335 | 10,047 | 4.043446 | 0.214232 | 0.008151 | 0.009448 | 0.008892 | 0.373101 | 0.314931 | 0.264357 | 0.24435 | 0.231753 | 0.187662 | 0 | 0.013059 | 0.336916 | 10,047 | 298 | 79 | 33.714765 | 0.797208 | 0.364686 | 0 | 0.412791 | 0 | 0 | 0.082019 | 0.007886 | 0 | 0 | 0 | 0 | 0.046512 | 1 | 0.087209 | false | 0 | 0.052326 | 0.017442 | 0.19186 | 0.087209 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f89039eac3e7b46b0d707c6f7b3927ce103b2914 | 919 | py | Python | app/controllers/config/system/logs.py | grepleria/SnitchDNS | 24f98b01fd5fca9aa2c660d6ee15742f2e44915c | [
"MIT"
] | 152 | 2020-12-07T13:26:53.000Z | 2022-03-23T02:00:04.000Z | app/controllers/config/system/logs.py | grepleria/SnitchDNS | 24f98b01fd5fca9aa2c660d6ee15742f2e44915c | [
"MIT"
] | 16 | 2020-12-07T17:04:36.000Z | 2022-03-10T11:12:52.000Z | app/controllers/config/system/logs.py | grepleria/SnitchDNS | 24f98b01fd5fca9aa2c660d6ee15742f2e44915c | [
"MIT"
] | 36 | 2020-12-09T13:04:40.000Z | 2022-03-12T18:14:36.000Z | from .. import bp
from flask import request, render_template, flash, redirect, url_for
from flask_login import current_user, login_required
from app.lib.base.provider import Provider
from app.lib.base.decorators import admin_required
@bp.route('/logs/errors', methods=['GET'])
@login_required
@admin_required
def logs_... | 26.257143 | 68 | 0.688792 | 131 | 919 | 4.633588 | 0.358779 | 0.138386 | 0.069193 | 0.046129 | 0.128501 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010944 | 0.20457 | 919 | 34 | 69 | 27.029412 | 0.819425 | 0 | 0 | 0 | 0 | 0 | 0.062024 | 0.032644 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.192308 | 0 | 0.269231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f890b528c3dd1757b9098304393522baa32267a2 | 2,241 | py | Python | tensorforce/agents/random_agent.py | matthewwilfred/tensorforce | 0ba3d39ed88fb0a0a0bf4bf03e79150c0fe0d54c | [
"Apache-2.0",
"MIT"
] | 1 | 2021-08-23T19:49:03.000Z | 2021-08-23T19:49:03.000Z | tensorforce/agents/random_agent.py | matthewwilfred/tensorforce | 0ba3d39ed88fb0a0a0bf4bf03e79150c0fe0d54c | [
"Apache-2.0",
"MIT"
] | null | null | null | tensorforce/agents/random_agent.py | matthewwilfred/tensorforce | 0ba3d39ed88fb0a0a0bf4bf03e79150c0fe0d54c | [
"Apache-2.0",
"MIT"
] | null | null | null | # Copyright 2017 reinforce.io. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 30.283784 | 96 | 0.622936 | 266 | 2,241 | 5.105263 | 0.458647 | 0.064801 | 0.050074 | 0.023564 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008511 | 0.265953 | 2,241 | 73 | 97 | 30.69863 | 0.817021 | 0.358322 | 0 | 0.111111 | 0 | 0 | 0.018868 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.138889 | 0 | 0.388889 | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f893a81b68249d96ab59017996d9f35493423f0f | 8,644 | py | Python | training/MNISTFashionMicroservice/src/server/training.py | UMass-Rescue/CombinedTechStack | b3447b174d9798f3baf9bf6509b4cc14a5bd225a | [
"MIT"
] | null | null | null | training/MNISTFashionMicroservice/src/server/training.py | UMass-Rescue/CombinedTechStack | b3447b174d9798f3baf9bf6509b4cc14a5bd225a | [
"MIT"
] | 32 | 2021-03-17T13:17:22.000Z | 2021-05-04T14:25:31.000Z | training/MNISTFashionMicroservice/src/server/training.py | UMass-Rescue/CombinedTechStack | b3447b174d9798f3baf9bf6509b4cc14a5bd225a | [
"MIT"
] | 1 | 2021-03-24T13:47:44.000Z | 2021-03-24T13:47:44.000Z | import os
import tempfile
import shutil
import requests
import sys
import logging
import json
from src.server.dependency import ModelData
import tensorflow as tf
class StreamToLogger(object):
"""
Fake file-like stream object that redirects writes to a logger instance.
Source: https://stackoverflow.com/a/3... | 32.618868 | 117 | 0.614762 | 1,056 | 8,644 | 4.822917 | 0.221591 | 0.033576 | 0.021206 | 0.023365 | 0.255252 | 0.224426 | 0.211467 | 0.176713 | 0.161005 | 0.156686 | 0 | 0.005174 | 0.284475 | 8,644 | 264 | 118 | 32.742424 | 0.81827 | 0.157219 | 0 | 0.104046 | 0 | 0 | 0.125935 | 0.006234 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040462 | false | 0.00578 | 0.052023 | 0 | 0.121387 | 0.00578 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f894286d87c8139bf9e7bda1448f050c5b02eb70 | 3,287 | py | Python | app.py | pythonlittleboy/python_gentleman_crawler | 751b624d22a5024746c256080ea0815a9986e3d7 | [
"Apache-2.0"
] | 1 | 2017-05-03T12:18:31.000Z | 2017-05-03T12:18:31.000Z | app.py | pythonlittleboy/python_gentleman_crawler | 751b624d22a5024746c256080ea0815a9986e3d7 | [
"Apache-2.0"
] | null | null | null | app.py | pythonlittleboy/python_gentleman_crawler | 751b624d22a5024746c256080ea0815a9986e3d7 | [
"Apache-2.0"
] | 1 | 2020-10-29T04:00:04.000Z | 2020-10-29T04:00:04.000Z | from flask import Flask
from flask import render_template
from flask import request
from model import MovieWebDAO
import json
from ml import Forcast
app = Flask(__name__)
@app.route('/')
def hello_world():
return render_template('index.html')
@app.route('/hello/')
@app.route('/hello/<name>')
def hello(name=None)... | 31.009434 | 79 | 0.703377 | 403 | 3,287 | 5.672457 | 0.200993 | 0.052493 | 0.061242 | 0.052493 | 0.430009 | 0.430009 | 0.34252 | 0.34252 | 0.34252 | 0.34252 | 0 | 0.010172 | 0.132644 | 3,287 | 106 | 80 | 31.009434 | 0.791652 | 0.024947 | 0 | 0.220779 | 0 | 0 | 0.149189 | 0.015293 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.077922 | 0.090909 | 0.454545 | 0.012987 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f89c748dd51197d30a5af7af230eb9f70959fb01 | 894 | py | Python | transonic/analyses/beniget.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | transonic/analyses/beniget.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | transonic/analyses/beniget.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | import gast as ast
from beniget import Ancestors, DefUseChains as DUC, UseDefChains
from beniget.beniget import Def
__all__ = ["Ancestors", "DefUseChains", "UseDefChains"]
class DefUseChains(DUC):
def visit_List(self, node):
if isinstance(node.ctx, ast.Load):
dnode = self.chains.setdefault... | 29.8 | 64 | 0.659955 | 109 | 894 | 5.330275 | 0.513761 | 0.037866 | 0.05852 | 0.068847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004566 | 0.265101 | 894 | 29 | 65 | 30.827586 | 0.879756 | 0.187919 | 0 | 0 | 0 | 0 | 0.04577 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.235294 | 0 | 0.529412 | 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 |
f8a219513d5df677c7712f374a4d0f79bdc2f13b | 2,401 | py | Python | 2020/python/16.py | gcp825/advent_of_code | b4ea17572847e1a9044487041b3e12a0da58c94b | [
"MIT"
] | 1 | 2021-12-29T09:32:08.000Z | 2021-12-29T09:32:08.000Z | 2020/python/16.py | gcp825/advent_of_code | b4ea17572847e1a9044487041b3e12a0da58c94b | [
"MIT"
] | null | null | null | 2020/python/16.py | gcp825/advent_of_code | b4ea17572847e1a9044487041b3e12a0da58c94b | [
"MIT"
] | null | null | null | from collections import Counter
def read_file(filepath):
with open(filepath,'r') as f:
a = [x for x in f.read().split('\n\n')]
b = []; d = []
for x in [[x[0],x[1].split(' or ')] for x in [x.split(': ') for x in a[0].split('\n')]]:
for y in x[1]:
... | 24.752577 | 96 | 0.43107 | 332 | 2,401 | 3.045181 | 0.23494 | 0.043521 | 0.065282 | 0.041543 | 0.152324 | 0.06726 | 0.021761 | 0 | 0 | 0 | 0 | 0.024927 | 0.431903 | 2,401 | 96 | 97 | 25.010417 | 0.716276 | 0 | 0 | 0 | 0 | 0 | 0.015827 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084746 | false | 0 | 0.016949 | 0 | 0.186441 | 0.016949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8a565676ba40410367b887bd52120b87f5a4d60 | 9,512 | py | Python | MODEL3.CNN.py | alhasacademy96/finalyearproject | 1f8f21dea55e45807767e465c27b225e2fc5c082 | [
"MIT"
] | 2 | 2020-09-15T18:10:12.000Z | 2021-01-25T21:54:04.000Z | MODEL3.CNN.py | alhasacademy96/finalyearproject | 1f8f21dea55e45807767e465c27b225e2fc5c082 | [
"MIT"
] | null | null | null | MODEL3.CNN.py | alhasacademy96/finalyearproject | 1f8f21dea55e45807767e465c27b225e2fc5c082 | [
"MIT"
] | null | null | null | # Author: Ibrahim Alhas - ID: 1533204.
# MODEL 3: CNN with built-in tensorflow tokenizer.
# This is the final version of the model (not the base).
# Packages and libraries used for this model.
# ** Install these if not installed already **.
import numpy as np
import pandas as pd
import matplotlib.pyplot ... | 37.746032 | 120 | 0.700694 | 1,349 | 9,512 | 4.842847 | 0.28762 | 0.012399 | 0.011021 | 0.014082 | 0.130874 | 0.087555 | 0.04041 | 0.04041 | 0.011021 | 0 | 0 | 0.017487 | 0.152334 | 9,512 | 251 | 121 | 37.896414 | 0.792757 | 0.312027 | 0 | 0.041379 | 0 | 0 | 0.107895 | 0.003684 | 0 | 0 | 0 | 0 | 0.006897 | 1 | 0 | false | 0 | 0.151724 | 0 | 0.151724 | 0.124138 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8a57061a44b4ce6c14481e8a79c00cddf4bc7c8 | 40,857 | py | Python | tn/old_scripts/old_md_to_pdf/export_md_to_pdf.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 6 | 2015-07-27T21:50:39.000Z | 2020-06-25T14:32:35.000Z | tn/old_scripts/old_md_to_pdf/export_md_to_pdf.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 89 | 2015-06-24T09:35:40.000Z | 2022-02-13T14:40:31.000Z | tn/old_scripts/old_md_to_pdf/export_md_to_pdf.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 12 | 2015-07-13T17:31:04.000Z | 2021-08-06T06:50:21.000Z | #!/usr/bin/env python2
# -*- coding: utf8 -*-
#
# Copyright (c) 2017 unfoldingWord
# http://creativecommons.org/licenses/MIT/
# See LICENSE file for details.
#
# Contributors:
# Richard Mahn <rich.mahn@unfoldingword.org>
"""
This script generates the HTML tN documents for each book of the Bible
"""
from __future_... | 49.46368 | 254 | 0.548303 | 5,124 | 40,857 | 4.215457 | 0.097775 | 0.016667 | 0.015741 | 0.0175 | 0.412222 | 0.338333 | 0.260046 | 0.212546 | 0.18963 | 0.15912 | 0 | 0.014075 | 0.290501 | 40,857 | 825 | 255 | 49.523636 | 0.731061 | 0.051913 | 0 | 0.165951 | 0 | 0.010014 | 0.140736 | 0.04654 | 0.002861 | 0 | 0 | 0 | 0 | 1 | 0.050072 | false | 0 | 0.031474 | 0.001431 | 0.130186 | 0.021459 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8a59fce72ffcde75ac9e9b378c6906ab092d7dd | 2,565 | py | Python | mudi/interp/bootstrap_aucell.py | getzlab/mudi | eda170119708e59920c23a03834af915ecca24ce | [
"MIT"
] | 1 | 2021-11-04T00:08:00.000Z | 2021-11-04T00:08:00.000Z | mudi/interp/bootstrap_aucell.py | getzlab/mudi | eda170119708e59920c23a03834af915ecca24ce | [
"MIT"
] | null | null | null | mudi/interp/bootstrap_aucell.py | getzlab/mudi | eda170119708e59920c23a03834af915ecca24ce | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from tqdm import tqdm
import argparse
from pyscenic.aucell import aucell
from .aucell import create_gene_signatures
from .aucell import assign_bootstrap
def main():
parser = argparse.ArgumentParser(description='AUcell Bootstrapping.')
parser.add_argument(
'-i', '-... | 28.5 | 91 | 0.617934 | 325 | 2,565 | 4.701538 | 0.347692 | 0.04712 | 0.089005 | 0.041885 | 0.109948 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006205 | 0.246004 | 2,565 | 89 | 92 | 28.820225 | 0.783868 | 0.021053 | 0 | 0.226667 | 0 | 0 | 0.2083 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013333 | false | 0 | 0.093333 | 0 | 0.106667 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8a77e8060730c4c9bc76d9c5c083f084aed00b7 | 2,383 | py | Python | test_alarms.py | ajaynema/rule-engine | 99cd5d54dd45e1223d0eec2a65bc6d5f0ef3da51 | [
"MIT"
] | null | null | null | test_alarms.py | ajaynema/rule-engine | 99cd5d54dd45e1223d0eec2a65bc6d5f0ef3da51 | [
"MIT"
] | null | null | null | test_alarms.py | ajaynema/rule-engine | 99cd5d54dd45e1223d0eec2a65bc6d5f0ef3da51 | [
"MIT"
] | null | null | null | from rule_condition import Condition
from rule_action import Action
from rule_template import RuleTemplate
from rule_engine import RuleEngine
from rule import Rule
from rule_data import Data
from rule_scope import Scope
from action_handler_send_email import SendEmailHandler
from action_handler_report_alarm import Repor... | 29.419753 | 81 | 0.660512 | 283 | 2,383 | 5.367491 | 0.173145 | 0.131666 | 0.05135 | 0.052666 | 0.563529 | 0.563529 | 0.45293 | 0.45293 | 0.45293 | 0.45293 | 0 | 0.01849 | 0.182963 | 2,383 | 81 | 82 | 29.419753 | 0.761685 | 0 | 0 | 0.424242 | 0 | 0 | 0.192534 | 0.009648 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.136364 | 0 | 0.227273 | 0.121212 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8a96eee4517afeca4532922b8ea2f6d38dc101a | 4,898 | py | Python | lib/utils_monai.py | octaviomtz/Growing-Neural-Cellular-Automata | a6f91661e35f7bd0d7b90ac4347f4d56c9351d0b | [
"MIT"
] | null | null | null | lib/utils_monai.py | octaviomtz/Growing-Neural-Cellular-Automata | a6f91661e35f7bd0d7b90ac4347f4d56c9351d0b | [
"MIT"
] | null | null | null | lib/utils_monai.py | octaviomtz/Growing-Neural-Cellular-Automata | a6f91661e35f7bd0d7b90ac4347f4d56c9351d0b | [
"MIT"
] | null | null | null | import os
import numpy as np
import monai
import math
import torch
import glob
from skimage.morphology import remove_small_holes, remove_small_objects
from monai.transforms import (
LoadImaged,
AddChanneld,
Orientationd,
Spacingd,
ScaleIntensityRanged,
SpatialPadd,
RandAffined,
RandCropB... | 39.5 | 111 | 0.669661 | 658 | 4,898 | 4.74772 | 0.232523 | 0.034571 | 0.017286 | 0.029449 | 0.477273 | 0.440781 | 0.412612 | 0.37484 | 0.302497 | 0.302497 | 0 | 0.020102 | 0.197632 | 4,898 | 123 | 112 | 39.821138 | 0.774809 | 0.078808 | 0 | 0.284404 | 0 | 0 | 0.079697 | 0.023598 | 0 | 0 | 0 | 0 | 0.009174 | 1 | 0.06422 | false | 0 | 0.073395 | 0 | 0.201835 | 0.018349 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8ab0286f449987129eeade795e566330ff36d18 | 867 | py | Python | api/leaderboard/tests/test_views.py | individuo7/wololo-tournaments-api | 5be6284064373e99346d39c78844e454c41c501d | [
"MIT"
] | 2 | 2019-12-09T10:19:36.000Z | 2020-01-11T11:48:41.000Z | api/leaderboard/tests/test_views.py | individuo7/wololo-tournaments-api | 5be6284064373e99346d39c78844e454c41c501d | [
"MIT"
] | null | null | null | api/leaderboard/tests/test_views.py | individuo7/wololo-tournaments-api | 5be6284064373e99346d39c78844e454c41c501d | [
"MIT"
] | null | null | null | import json
import pytest
from unittest import TestCase
from rest_framework.test import APIClient
from ..models import Group, Prediction
@pytest.mark.django_db
class PredictionViewSetTest(TestCase):
def setUp(self):
self.client = APIClient()
def test_prediction_list(self):
response = self.cl... | 27.967742 | 63 | 0.704729 | 103 | 867 | 5.805825 | 0.368932 | 0.06689 | 0.053512 | 0.060201 | 0.652174 | 0.575251 | 0.575251 | 0.575251 | 0.575251 | 0.575251 | 0 | 0.008584 | 0.193772 | 867 | 30 | 64 | 28.9 | 0.846924 | 0 | 0 | 0.521739 | 0 | 0 | 0.033449 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 1 | 0.173913 | false | 0 | 0.217391 | 0 | 0.478261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8acaa7460d221225a0bd79d4a5ca48dc091b0af | 2,873 | py | Python | components/aws/sagemaker/delete_simulation_app/src/robomaker_delete_simulation_app_spec.py | Strasser-Pablo/pipelines | a1d513eb412f3ffd44edf82af2fa7edb05c3b952 | [
"Apache-2.0"
] | 2,860 | 2018-05-24T04:55:01.000Z | 2022-03-31T13:49:56.000Z | components/aws/sagemaker/delete_simulation_app/src/robomaker_delete_simulation_app_spec.py | Strasser-Pablo/pipelines | a1d513eb412f3ffd44edf82af2fa7edb05c3b952 | [
"Apache-2.0"
] | 7,331 | 2018-05-16T09:03:26.000Z | 2022-03-31T23:22:04.000Z | components/aws/sagemaker/delete_simulation_app/src/robomaker_delete_simulation_app_spec.py | Strasser-Pablo/pipelines | a1d513eb412f3ffd44edf82af2fa7edb05c3b952 | [
"Apache-2.0"
] | 1,359 | 2018-05-15T11:05:41.000Z | 2022-03-31T09:42:09.000Z | """Specification for the RoboMaker delete. simulation application component."""
# 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 require... | 32.280899 | 88 | 0.725374 | 264 | 2,873 | 7.818182 | 0.435606 | 0.061047 | 0.043605 | 0.037791 | 0.111434 | 0.059109 | 0.059109 | 0.059109 | 0.059109 | 0.059109 | 0 | 0.001767 | 0.211974 | 2,873 | 88 | 89 | 32.647727 | 0.909894 | 0.258615 | 0 | 0.135593 | 0 | 0 | 0.077947 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067797 | false | 0 | 0.067797 | 0.050847 | 0.322034 | 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 |
f8b003880b2b0c817a1e02d7db8475b7ea56eada | 2,624 | py | Python | xos/synchronizers/monitoring_channel/templates/sflow_pub_sub/sflow_sub_records.py | xmaruto/mcord | 3678a3d10c3703c2b73f396c293faebf0c82a4f4 | [
"Apache-2.0"
] | null | null | null | xos/synchronizers/monitoring_channel/templates/sflow_pub_sub/sflow_sub_records.py | xmaruto/mcord | 3678a3d10c3703c2b73f396c293faebf0c82a4f4 | [
"Apache-2.0"
] | null | null | null | xos/synchronizers/monitoring_channel/templates/sflow_pub_sub/sflow_sub_records.py | xmaruto/mcord | 3678a3d10c3703c2b73f396c293faebf0c82a4f4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import fnmatch
import logging
class sflow_sub_record:
def __init__(self,scheme,app_id,app_ip,app_port,subscription_info,sub_info_filter):
logging.debug("* Updating subscription_info ")
self.scheme = scheme
self.app_id = app_id
self.ipaddress = app_ip
self... | 41 | 91 | 0.62843 | 326 | 2,624 | 4.751534 | 0.205521 | 0.092963 | 0.092963 | 0.046482 | 0.247902 | 0.113622 | 0.082634 | 0.051646 | 0 | 0 | 0 | 0 | 0.21875 | 2,624 | 63 | 92 | 41.650794 | 0.75561 | 0.006098 | 0 | 0.210526 | 0 | 0 | 0.210587 | 0.036824 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0 | 0.035088 | 0 | 0.22807 | 0.035088 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8b2fa45ad6aa0b508fe2d6b2b81fce66e566e4c | 3,148 | py | Python | scripts/gcorr/run_xfaster.py | SPIDER-CMB/xfaster | 1b8e56d775f2c3a8693d1372ae461392c21da7ca | [
"MIT"
] | 1 | 2021-03-25T14:15:44.000Z | 2021-03-25T14:15:44.000Z | scripts/gcorr/run_xfaster.py | annegambrel/xfaster | 03d5a2971d3cc19ae360d78995e3575f3f678d6e | [
"MIT"
] | 7 | 2021-04-20T23:34:38.000Z | 2021-08-24T00:00:53.000Z | scripts/gcorr/run_xfaster.py | SPIDER-CMB/xfaster | 1b8e56d775f2c3a8693d1372ae461392c21da7ca | [
"MIT"
] | 1 | 2021-05-18T16:43:54.000Z | 2021-05-18T16:43:54.000Z | """
A script to run XFaster for gcorr calculation. Called by iterate.py.
"""
import os
import xfaster as xf
import argparse as ap
from configparser import ConfigParser
# Change XFaster options here to suit your purposes
opts = dict(
likelihood=False,
residual_fit=False,
foreground_fit=False,
# change o... | 28.618182 | 88 | 0.661055 | 459 | 3,148 | 4.385621 | 0.339869 | 0.017884 | 0.053651 | 0.025832 | 0.130651 | 0.068058 | 0.044213 | 0.032787 | 0.032787 | 0 | 0 | 0.005475 | 0.187738 | 3,148 | 109 | 89 | 28.880734 | 0.781776 | 0.120394 | 0 | 0.104651 | 0 | 0 | 0.288203 | 0 | 0 | 0 | 0 | 0 | 0.011628 | 1 | 0 | false | 0 | 0.046512 | 0 | 0.046512 | 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 |
f8b5ae0ccaf93b252b0712f888f73a49ece568a6 | 23,824 | py | Python | easy_server/_server_file.py | andy-maier/secureserveraccess | 24f4817b2066401451840b3c7b308e1792eb3e60 | [
"Apache-2.0"
] | 1 | 2021-03-29T22:09:47.000Z | 2021-03-29T22:09:47.000Z | easy_server/_server_file.py | andy-maier/secureserveraccess | 24f4817b2066401451840b3c7b308e1792eb3e60 | [
"Apache-2.0"
] | 49 | 2021-03-29T20:13:28.000Z | 2021-05-01T10:38:19.000Z | easy_server/_server_file.py | andy-maier/secureserveraccess | 24f4817b2066401451840b3c7b308e1792eb3e60 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | 37.815873 | 80 | 0.580423 | 2,485 | 23,824 | 5.42495 | 0.126761 | 0.049774 | 0.025072 | 0.032639 | 0.546918 | 0.510496 | 0.478674 | 0.439137 | 0.410949 | 0.363029 | 0 | 0.000644 | 0.347759 | 23,824 | 629 | 81 | 37.875994 | 0.866916 | 0.331808 | 0 | 0.42522 | 0 | 0 | 0.207422 | 0.012573 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035191 | false | 0.026393 | 0.017595 | 0 | 0.117302 | 0.002933 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8b88aa220e765ebad5849f646d7fa3f22e031df | 1,316 | py | Python | sort_array_by_parity_ii_alt.py | tusharsadhwani/leetcode | a17a8a7587c5654f05fcd13ae7cdf47263ab2ea8 | [
"MIT"
] | 6 | 2021-05-21T01:10:42.000Z | 2021-12-16T16:12:30.000Z | sort_array_by_parity_ii_alt.py | tusharsadhwani/leetcode | a17a8a7587c5654f05fcd13ae7cdf47263ab2ea8 | [
"MIT"
] | null | null | null | sort_array_by_parity_ii_alt.py | tusharsadhwani/leetcode | a17a8a7587c5654f05fcd13ae7cdf47263ab2ea8 | [
"MIT"
] | null | null | null | from typing import Callable
class Solution:
def sortArrayByParityII(self, nums: list[int]) -> list[int]:
# Crucial lesson: 2 pointer approach doesn't necessarily mean
# the pointers should start at opposite ends of the array.
evens, odds = 0, 1
end = len(nums)
while evens <... | 24.830189 | 77 | 0.50152 | 161 | 1,316 | 4.062112 | 0.372671 | 0.06422 | 0.110092 | 0.119266 | 0.097859 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055952 | 0.361702 | 1,316 | 52 | 78 | 25.307692 | 0.722619 | 0.088146 | 0 | 0.170732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04878 | 1 | 0.04878 | false | 0 | 0.02439 | 0 | 0.121951 | 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 |
f8ba6e975ac143461562e6b418e4b0a0aee2b105 | 4,285 | py | Python | alfred/Alfred.alfredpreferences/workflows/user.workflow.99DE3F5C-7CB4-4E0B-9195-7782AADC167B/converter/constants.py | karamfil/saphe | f1c56dcf11613808e07f462d50f20881aef7fbdc | [
"MIT"
] | 2 | 2019-09-17T10:20:20.000Z | 2020-02-10T11:46:33.000Z | alfred/Alfred.alfredpreferences/workflows/user.workflow.99DE3F5C-7CB4-4E0B-9195-7782AADC167B/converter/constants.py | karamfil/saphe | f1c56dcf11613808e07f462d50f20881aef7fbdc | [
"MIT"
] | null | null | null | alfred/Alfred.alfredpreferences/workflows/user.workflow.99DE3F5C-7CB4-4E0B-9195-7782AADC167B/converter/constants.py | karamfil/saphe | f1c56dcf11613808e07f462d50f20881aef7fbdc | [
"MIT"
] | null | null | null | import re
UNITS_XML_FILE = 'poscUnits22.xml'
UNITS_PICKLE_FILE = 'units.pickle'
OUTPUT_DECIMALS = 6
SOURCE_PATTERN = r'^(?P<quantity>.*[\d.]+)\s*(?P<from>[^\d\s]([^\s]*|.+?))'
SOURCE_RE = re.compile(SOURCE_PATTERN + '$', re.IGNORECASE | re.VERBOSE)
FULL_PATTERN = r'(\s+as|\s+to|\s+in|\s*>|\s*=)\s(?P<to>[^\d\s][^\s... | 22.792553 | 76 | 0.54189 | 499 | 4,285 | 4.559118 | 0.52505 | 0.008791 | 0.024176 | 0.015824 | 0.042637 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019271 | 0.224971 | 4,285 | 187 | 77 | 22.914439 | 0.665763 | 0.094749 | 0 | 0 | 0 | 0.007092 | 0.335402 | 0.038014 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014184 | false | 0 | 0.007092 | 0.007092 | 0.042553 | 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 |
f8bc9f66b7afd106a2727f0668012f3210c6ab27 | 1,548 | py | Python | tests/test_click.py | maxmouchet/mtoolbox | 977f3af1e3fe6e6403a26fcca3a30a1285eb28c2 | [
"MIT"
] | null | null | null | tests/test_click.py | maxmouchet/mtoolbox | 977f3af1e3fe6e6403a26fcca3a30a1285eb28c2 | [
"MIT"
] | 2 | 2020-07-19T21:03:34.000Z | 2020-09-11T14:56:34.000Z | tests/test_click.py | maxmouchet/mtoolbox | 977f3af1e3fe6e6403a26fcca3a30a1285eb28c2 | [
"MIT"
] | null | null | null | from enum import Enum
from pathlib import Path
import click
from mbox.click import EnumChoice, ParsedDate, PathParam
class AF(Enum):
IPv4 = 4
IPv6 = 6
def test_enum_choice(runner):
@click.command()
@click.option("--af", type=EnumChoice(AF, int))
def cmd(af):
click.echo(af)
result ... | 24.1875 | 72 | 0.623385 | 205 | 1,548 | 4.639024 | 0.287805 | 0.113565 | 0.094637 | 0.105152 | 0.396425 | 0.329127 | 0.300736 | 0.214511 | 0.132492 | 0.132492 | 0 | 0.033828 | 0.217054 | 1,548 | 63 | 73 | 24.571429 | 0.750825 | 0 | 0 | 0.195652 | 0 | 0 | 0.132429 | 0.015504 | 0 | 0 | 0 | 0 | 0.217391 | 1 | 0.152174 | false | 0 | 0.086957 | 0 | 0.304348 | 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 |
f8bdfba3ce0bde25189979ebc289968a2512c766 | 1,400 | py | Python | util/plot_pbt.py | Linus4world/3D-MRI-style-transfer | 6747f0b235b8a6e773a941c222d594d9eedc6a35 | [
"BSD-3-Clause"
] | 1 | 2022-01-03T16:08:35.000Z | 2022-01-03T16:08:35.000Z | util/plot_PBT.py | Linus4world/mrs-gan | 64669251584a7421cce3a5173983a2275dcb438a | [
"BSD-2-Clause"
] | null | null | null | util/plot_PBT.py | Linus4world/mrs-gan | 64669251584a7421cce3a5173983a2275dcb438a | [
"BSD-2-Clause"
] | 1 | 2022-02-11T13:26:38.000Z | 2022-02-11T13:26:38.000Z | import math
import matplotlib.pyplot as plt
import json
import os
import warnings
warnings.filterwarnings("ignore")
def make_dataset(dir, file_ext=[]):
paths = []
assert os.path.exists(dir) and os.path.isdir(dir), '{} is not a valid directory'.format(dir)
for root, _, fnames in sorted(os.walk(dir)):
... | 31.111111 | 96 | 0.594286 | 198 | 1,400 | 4.090909 | 0.5 | 0.022222 | 0.02963 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014164 | 0.243571 | 1,400 | 44 | 97 | 31.818182 | 0.750708 | 0 | 0 | 0 | 0 | 0 | 0.121429 | 0.032857 | 0 | 0 | 0 | 0 | 0.025641 | 1 | 0.051282 | false | 0 | 0.128205 | 0 | 0.205128 | 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 |
f8c6f95465da9e6fd5b7017053c85eda97db68b6 | 802 | py | Python | natasha/span.py | baltachev/natasha | b326631c510384b1ce3ac198bce8ed11818ec784 | [
"MIT"
] | 822 | 2017-09-05T08:38:42.000Z | 2022-03-31T16:08:48.000Z | natasha/span.py | baltachev/natasha | b326631c510384b1ce3ac198bce8ed11818ec784 | [
"MIT"
] | 81 | 2017-09-12T12:49:00.000Z | 2022-03-25T18:21:12.000Z | natasha/span.py | baltachev/natasha | b326631c510384b1ce3ac198bce8ed11818ec784 | [
"MIT"
] | 90 | 2017-09-05T08:38:49.000Z | 2022-03-29T12:09:22.000Z |
from .record import Record
class Span(Record):
__attributes__ = ['start', 'stop', 'type']
def adapt_spans(spans):
for span in spans:
yield Span(span.start, span.stop, span.type)
def offset_spans(spans, offset):
for span in spans:
yield Span(
offset + span.start,
... | 21.105263 | 52 | 0.516209 | 87 | 802 | 4.678161 | 0.356322 | 0.051597 | 0.044226 | 0.068796 | 0.206388 | 0.113022 | 0 | 0 | 0 | 0 | 0 | 0.00616 | 0.392768 | 802 | 37 | 53 | 21.675676 | 0.829569 | 0 | 0 | 0.071429 | 0 | 0 | 0.01623 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.035714 | 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 |
f8c7ce0b20cdca0b81d121ae696bffeb609cd523 | 7,297 | py | Python | bingads/v13/bulk/entities/bulk_offline_conversion.py | pawelulita/BingAds-Python-SDK | e7b5a618e87a43d0a5e2c79d9aa4626e208797bd | [
"MIT"
] | 86 | 2016-02-29T03:24:28.000Z | 2022-03-29T09:30:21.000Z | bingads/v13/bulk/entities/bulk_offline_conversion.py | pawelulita/BingAds-Python-SDK | e7b5a618e87a43d0a5e2c79d9aa4626e208797bd | [
"MIT"
] | 135 | 2016-04-12T13:31:28.000Z | 2022-03-29T02:18:51.000Z | bingads/v13/bulk/entities/bulk_offline_conversion.py | pawelulita/BingAds-Python-SDK | e7b5a618e87a43d0a5e2c79d9aa4626e208797bd | [
"MIT"
] | 154 | 2016-04-08T04:11:27.000Z | 2022-03-29T21:21:07.000Z | from __future__ import print_function
from bingads.service_client import _CAMPAIGN_OBJECT_FACTORY_V13
from bingads.v13.internal.bulk.string_table import _StringTable
from bingads.v13.internal.bulk.entities.single_record_bulk_entity import _SingleRecordBulkEntity
from bingads.v13.internal.bulk.mappings import _SimpleBul... | 34.582938 | 139 | 0.628752 | 724 | 7,297 | 5.991713 | 0.180939 | 0.094053 | 0.086215 | 0.040572 | 0.389119 | 0.277547 | 0.258183 | 0.23006 | 0.170124 | 0.070309 | 0 | 0.003551 | 0.305331 | 7,297 | 210 | 140 | 34.747619 | 0.852239 | 0.084692 | 0 | 0.335329 | 0 | 0 | 0.036108 | 0.014957 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107784 | false | 0 | 0.035928 | 0.035928 | 0.197605 | 0.005988 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8c98cbdffeb6bc1eca9320791dd78a1cefdb9cd | 4,320 | py | Python | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/lti_provider/tests/test_tasks.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 3 | 2021-12-15T04:58:18.000Z | 2022-02-06T12:15:37.000Z | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/lti_provider/tests/test_tasks.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | null | null | null | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/lti_provider/tests/test_tasks.py | osoco/better-ways-of-thinking-about-software | 83e70d23c873509e22362a09a10d3510e10f6992 | [
"MIT"
] | 1 | 2019-01-02T14:38:50.000Z | 2019-01-02T14:38:50.000Z | """
Tests for the LTI outcome service handlers, both in outcomes.py and in tasks.py
"""
from unittest.mock import MagicMock, patch
import ddt
from django.test import TestCase
from opaque_keys.edx.locator import BlockUsageLocator, CourseLocator
import lms.djangoapps.lti_provider.tasks as tasks
from common.djangoapps... | 31.532847 | 92 | 0.634491 | 506 | 4,320 | 5.195652 | 0.245059 | 0.041841 | 0.029669 | 0.045645 | 0.349563 | 0.261696 | 0.241917 | 0.241917 | 0.225941 | 0.190186 | 0 | 0.011727 | 0.269676 | 4,320 | 136 | 93 | 31.764706 | 0.821553 | 0.074537 | 0 | 0.27619 | 0 | 0 | 0.079806 | 0.039776 | 0 | 0 | 0 | 0 | 0.028571 | 1 | 0.057143 | false | 0 | 0.066667 | 0 | 0.161905 | 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 |
f8c9d560d993e370d3b1363238c43807ccc5dfd5 | 1,954 | py | Python | agents/dumbagent.py | dbelliss/Starcraft2AI | a3044f0eb3c1bb18084fa59265a430ddcdfab80b | [
"MIT"
] | 2 | 2018-04-17T00:37:40.000Z | 2018-04-30T03:04:20.000Z | agents/dumbagent.py | dbelliss/Starcraft2AI | a3044f0eb3c1bb18084fa59265a430ddcdfab80b | [
"MIT"
] | null | null | null | agents/dumbagent.py | dbelliss/Starcraft2AI | a3044f0eb3c1bb18084fa59265a430ddcdfab80b | [
"MIT"
] | null | null | null | from loser_agent import *
class DumbAgent(LoserAgent):
def __init__(self, is_logging = False, is_printing_to_console = False, isMainAgent = False, fileName = ""):
super().__init__(is_logging, is_printing_to_console, isMainAgent)
# For debugging
self.is_logging = is_logging... | 41.574468 | 129 | 0.666837 | 251 | 1,954 | 5.007968 | 0.438247 | 0.082737 | 0.038186 | 0.060461 | 0.163882 | 0.163882 | 0.163882 | 0.163882 | 0.10183 | 0.10183 | 0 | 0.006684 | 0.234391 | 1,954 | 46 | 130 | 42.478261 | 0.833556 | 0.308086 | 0 | 0 | 0 | 0 | 0.017177 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0.04 | 0.04 | 0 | 0.16 | 0.12 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8cc12080c230a16858bbc18a05bcd5b93430fe7 | 317 | py | Python | Python/mathematics/find_missing_number.py | RCubedClub/cp_algo | ec254055ef745224b0a1c766ef16709a3eea7087 | [
"MIT"
] | null | null | null | Python/mathematics/find_missing_number.py | RCubedClub/cp_algo | ec254055ef745224b0a1c766ef16709a3eea7087 | [
"MIT"
] | null | null | null | Python/mathematics/find_missing_number.py | RCubedClub/cp_algo | ec254055ef745224b0a1c766ef16709a3eea7087 | [
"MIT"
] | null | null | null | import random
def find(array):
summation = sum(array)
n = len(array)
total = n*(n+1)//2
miss = total - summation
return miss
def main():
arr = [i for i in range(99)]
print(arr)
result = find(arr)
print("The missing number is-", result)
if __name__ == '__main__':
main()
| 14.409091 | 43 | 0.577287 | 45 | 317 | 3.888889 | 0.644444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017621 | 0.283912 | 317 | 21 | 44 | 15.095238 | 0.753304 | 0 | 0 | 0 | 0 | 0 | 0.094637 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.285714 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8cde62d3add298d347b197159cd3ef0fad71443 | 2,850 | py | Python | brake.py | tensorpro/AutonomousBraking | 9861e5c0423d8ca1a2f3f640003b3581a3074459 | [
"MIT"
] | 8 | 2017-05-04T22:04:48.000Z | 2020-03-27T13:06:39.000Z | brake.py | tensorpro/AutonomousBraking | 9861e5c0423d8ca1a2f3f640003b3581a3074459 | [
"MIT"
] | null | null | null | brake.py | tensorpro/AutonomousBraking | 9861e5c0423d8ca1a2f3f640003b3581a3074459 | [
"MIT"
] | 2 | 2019-07-22T02:19:57.000Z | 2020-09-29T21:00:00.000Z | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
m = 4
b = -.2
bl = -.1
br = -.1
sh = .13
def show_ped(image, bb):
im = np.zeros(image.shape[:2])
[ymin, xmin, ymax, xmax] = bb
im[ymin:ymax,xmin:xmax]=1
plt.imshow(im)
plt.show()
def in_region(x,y, m=0, b=0, ab... | 26.635514 | 75 | 0.561404 | 472 | 2,850 | 3.258475 | 0.216102 | 0.014304 | 0.009753 | 0.026008 | 0.064369 | 0.057217 | 0.050715 | 0.050715 | 0 | 0 | 0 | 0.012291 | 0.286316 | 2,850 | 106 | 76 | 26.886792 | 0.743854 | 0.019298 | 0 | 0.076087 | 0 | 0 | 0.043338 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119565 | false | 0 | 0.043478 | 0.01087 | 0.26087 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8d0d6ecca8d12cee0a53f9628644c363e8839b3 | 1,055 | py | Python | python/smqtk/utils/simple_timer.py | jbeezley/SMQTK | e6b00f94be95f39bbca52a7983ac3d6d1f86f847 | [
"BSD-3-Clause"
] | 82 | 2015-01-07T15:33:29.000Z | 2021-08-11T18:34:05.000Z | python/smqtk/utils/simple_timer.py | jbeezley/SMQTK | e6b00f94be95f39bbca52a7983ac3d6d1f86f847 | [
"BSD-3-Clause"
] | 230 | 2015-04-08T14:36:51.000Z | 2022-03-14T17:55:30.000Z | python/smqtk/utils/simple_timer.py | DigitalCompanion/SMQTK | fc9404b69150ef44f24423844bc80735c0c2b669 | [
"BSD-3-Clause"
] | 65 | 2015-01-04T15:00:16.000Z | 2021-11-19T18:09:11.000Z | import time
from smqtk.utils import SmqtkObject
class SimpleTimer (SmqtkObject):
"""
Little class to wrap the timing of things. To be use with the ``with``
statement.
"""
def __init__(self, msg, log_func=None, *args):
"""
Additional arguments are passed to the logging method
... | 27.051282 | 74 | 0.525118 | 131 | 1,055 | 3.870229 | 0.328244 | 0.151874 | 0.108481 | 0.138067 | 0.315582 | 0.244576 | 0.244576 | 0.244576 | 0.134122 | 0.134122 | 0 | 0.002963 | 0.36019 | 1,055 | 38 | 75 | 27.763158 | 0.748148 | 0.176303 | 0 | 0.190476 | 0 | 0 | 0.025189 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.095238 | 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 |
f8d1e3f53857745560685cc9254effe945b354f9 | 3,314 | py | Python | portl.py | blackc8/portl | 8be36d67db2041071d5169204902ec9fff6aabe9 | [
"MIT"
] | null | null | null | portl.py | blackc8/portl | 8be36d67db2041071d5169204902ec9fff6aabe9 | [
"MIT"
] | 1 | 2020-10-31T15:32:31.000Z | 2020-10-31T15:33:11.000Z | portl.py | blackc8/portl | 8be36d67db2041071d5169204902ec9fff6aabe9 | [
"MIT"
] | null | null | null | import socket, time, sys
import argparse
__version__="0.1"
min_port=0
#max_port=65535
max_port=10000
parser = argparse.ArgumentParser(description="a simple python port scanner",epilog="author: blackc8")
parser.add_argument("hostname",metavar="<hostname>",help="host to scan")
parser.add_argument("-dp","--ddport",help=... | 30.971963 | 114 | 0.624925 | 427 | 3,314 | 4.662763 | 0.306792 | 0.024108 | 0.042692 | 0.031642 | 0.124561 | 0.124561 | 0.108488 | 0.071321 | 0.044199 | 0 | 0 | 0.012529 | 0.22933 | 3,314 | 106 | 115 | 31.264151 | 0.767032 | 0.011467 | 0 | 0.090909 | 0 | 0 | 0.161625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079545 | false | 0 | 0.022727 | 0 | 0.204545 | 0.011364 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f8d25c456ce1d78680f761522a288c787f746b68 | 4,730 | py | Python | Python/MachineLearning_Ng/examples/ex2.py | Ritetsu/lizhe_Notes | 4c465b5e23c1e520f9508314cfda7f26517d6dd3 | [
"MIT"
] | null | null | null | Python/MachineLearning_Ng/examples/ex2.py | Ritetsu/lizhe_Notes | 4c465b5e23c1e520f9508314cfda7f26517d6dd3 | [
"MIT"
] | null | null | null | Python/MachineLearning_Ng/examples/ex2.py | Ritetsu/lizhe_Notes | 4c465b5e23c1e520f9508314cfda7f26517d6dd3 | [
"MIT"
] | 1 | 2021-07-07T12:01:42.000Z | 2021-07-07T12:01:42.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 16 20:15:55 2019
@author: Shinelon
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
path='ex2data1.txt'
data=pd.read_csv(path,header=None,names=['Exam1','Exam2','Admitted'])
data.head()
#两个分数的散点图,并用颜色编码可视化
positive=data[data['Admitted'].isin([1]... | 31.533333 | 84 | 0.679281 | 790 | 4,730 | 4.048101 | 0.251899 | 0.035022 | 0.028455 | 0.030644 | 0.313321 | 0.298311 | 0.298311 | 0.265166 | 0.231395 | 0.212008 | 0 | 0.042553 | 0.115645 | 4,730 | 150 | 85 | 31.533333 | 0.72197 | 0.07907 | 0 | 0.325581 | 0 | 0 | 0.065604 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.03876 | 0.007752 | 0.131783 | 0.015504 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ef9b4082cb1779ade1e3f88552ad789562c6383 | 2,776 | py | Python | tests/selenium/auth/test_user.py | bodik/sner4-web | cb054d79c587b2f8468c73a88754b7c0d5cd5a95 | [
"MIT"
] | 9 | 2019-05-15T11:33:43.000Z | 2022-02-17T04:05:28.000Z | tests/selenium/auth/test_user.py | bodik/sner4 | cb054d79c587b2f8468c73a88754b7c0d5cd5a95 | [
"MIT"
] | 1 | 2019-03-01T11:48:13.000Z | 2019-03-01T11:48:13.000Z | tests/selenium/auth/test_user.py | bodik/sner4-web | cb054d79c587b2f8468c73a88754b7c0d5cd5a95 | [
"MIT"
] | 3 | 2020-03-03T21:06:37.000Z | 2021-01-11T14:40:56.000Z | # This file is part of sner4 project governed by MIT license, see the LICENSE.txt file.
"""
auth.views.user selenium tests
"""
from flask import url_for
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from sner.server.auth.models import User
from sner.serve... | 46.266667 | 139 | 0.747839 | 415 | 2,776 | 4.739759 | 0.284337 | 0.071174 | 0.044738 | 0.035587 | 0.616167 | 0.588205 | 0.588205 | 0.588205 | 0.588205 | 0.563803 | 0 | 0.001626 | 0.113833 | 2,776 | 59 | 140 | 47.050847 | 0.797967 | 0.177954 | 0 | 0.454545 | 0 | 0 | 0.237799 | 0.127329 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.090909 | false | 0 | 0.181818 | 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 |
6efaa56371bdc91af714b2ef343d987547b208e3 | 936 | py | Python | isobmff/media_file.py | kentoku24/isobmff | 6877505a75915caf440bbb80b6024ba6bf9f3baa | [
"MIT"
] | 6 | 2017-08-31T01:55:37.000Z | 2018-12-26T03:03:24.000Z | isobmff/media_file.py | kentoku24/isobmff | 6877505a75915caf440bbb80b6024ba6bf9f3baa | [
"MIT"
] | 4 | 2017-08-29T03:47:16.000Z | 2017-09-05T09:00:17.000Z | isobmff/media_file.py | m-hiki/isbmff | 0724b9892884ae35bdd0796a97a9506098c4cd25 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .box import indent
from .box import read_box
class MediaFile(object):
def __init__(self):
self.ftyp = None
self.mdats = []
self.meta = None
self.moov = None
def __repr__(self):
rep = self.ftyp.__repr__() + '\n'
rep +... | 26.742857 | 53 | 0.459402 | 101 | 936 | 3.960396 | 0.425743 | 0.05 | 0.065 | 0.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001845 | 0.42094 | 936 | 34 | 54 | 27.529412 | 0.736162 | 0.022436 | 0 | 0 | 0 | 0 | 0.036405 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.071429 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6efc25feb8365613f08bcea149b9338afcb635e2 | 3,690 | py | Python | mlw/build_database.py | imjoseangel/hacktheplanet2021 | bffc4f9a4f821fcfe2215244f5b563effe6982e5 | [
"MIT"
] | 1 | 2021-02-24T12:05:06.000Z | 2021-02-24T12:05:06.000Z | mlw/build_database.py | imjoseangel/hacktheplanet2021 | bffc4f9a4f821fcfe2215244f5b563effe6982e5 | [
"MIT"
] | null | null | null | mlw/build_database.py | imjoseangel/hacktheplanet2021 | bffc4f9a4f821fcfe2215244f5b563effe6982e5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (division, absolute_import, print_function,
unicode_literals)
from glob import glob
import logging
import os
from os.path import abspath, dirname, normpath
import re
from shutil import rmtree
import sqlite3
import sys
import ... | 31.810345 | 140 | 0.644986 | 494 | 3,690 | 4.710526 | 0.455466 | 0.037817 | 0.010314 | 0.015471 | 0.031801 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021426 | 0.190515 | 3,690 | 115 | 141 | 32.086957 | 0.757616 | 0.090786 | 0 | 0 | 0 | 0 | 0.356373 | 0.101137 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.197531 | 0 | 0.197531 | 0.012346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6efcad9f388b05b3d7f79c0c4ad5c784bb1826e5 | 3,486 | py | Python | domotica/configuration.py | jjmartinr01/gauss3 | 1c71c44430e0f15fb2f3f83d32ad66bb1b7e3e94 | [
"MIT"
] | null | null | null | domotica/configuration.py | jjmartinr01/gauss3 | 1c71c44430e0f15fb2f3f83d32ad66bb1b7e3e94 | [
"MIT"
] | null | null | null | domotica/configuration.py | jjmartinr01/gauss3 | 1c71c44430e0f15fb2f3f83d32ad66bb1b7e3e94 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
TIPO = 'selectable' # 'basic' or 'selectable'. 'basic': necesario para el funcionamiento del programa
# 'selectable': No necesario. Añade nuevas funcionalidades al programa
# Por ejemplo autenticar es 'basic', pero actas es pre... | 41.011765 | 103 | 0.592943 | 322 | 3,486 | 6.164596 | 0.26087 | 0.075567 | 0.126952 | 0.151134 | 0.68262 | 0.587406 | 0.377834 | 0.35869 | 0.303275 | 0.13602 | 0 | 0.002848 | 0.294894 | 3,486 | 84 | 104 | 41.5 | 0.804719 | 0.106999 | 0 | 0.276316 | 0 | 0 | 0.580489 | 0.194784 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.013158 | 0 | 0.013158 | 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 |
6efceaaf9fe7bf6e6a3d8409b3f03d38e6342a11 | 5,944 | py | Python | eval.py | itisianlee/hawk-facedet | 55774ac5619f9a4c76a3a872ff11940a874b32d1 | [
"Apache-2.0"
] | null | null | null | eval.py | itisianlee/hawk-facedet | 55774ac5619f9a4c76a3a872ff11940a874b32d1 | [
"Apache-2.0"
] | null | null | null | eval.py | itisianlee/hawk-facedet | 55774ac5619f9a4c76a3a872ff11940a874b32d1 | [
"Apache-2.0"
] | null | null | null | import os
import cv2
import fire
import time
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
from configs.common import config as cfg
from hawkdet.models.build import build_detor
from hawkdet.lib.numpy_nms import np_nms
from hawkdet.lib.box_utils import decode, dec... | 33.206704 | 105 | 0.57924 | 808 | 5,944 | 4.094059 | 0.27599 | 0.038694 | 0.012092 | 0.018138 | 0.125453 | 0.100665 | 0.100665 | 0.069528 | 0.069528 | 0.069528 | 0 | 0.023146 | 0.287685 | 5,944 | 178 | 106 | 33.393258 | 0.758148 | 0.063257 | 0 | 0.071429 | 0 | 0 | 0.044685 | 0.01027 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0.035714 | 0.092857 | 0 | 0.15 | 0.007143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e00ea020dca2ee0cd420f43a2015391aba2eabc | 2,491 | py | Python | src/keydra/providers/contentful.py | jangroth/keydra | 9bab1b21e025ceb6ae074ea936d693e36efae5a4 | [
"MIT"
] | 12 | 2021-05-04T10:47:02.000Z | 2022-03-10T13:25:04.000Z | src/keydra/providers/contentful.py | jangroth/keydra | 9bab1b21e025ceb6ae074ea936d693e36efae5a4 | [
"MIT"
] | 17 | 2021-05-04T00:53:49.000Z | 2022-01-18T10:01:49.000Z | src/keydra/providers/contentful.py | jangroth/keydra | 9bab1b21e025ceb6ae074ea936d693e36efae5a4 | [
"MIT"
] | 9 | 2021-05-04T00:46:38.000Z | 2022-02-16T02:55:50.000Z | from keydra.clients.contentful import ContentfulClient
from keydra.providers.base import BaseProvider
from keydra.providers.base import exponential_backoff_retry
from keydra.exceptions import DistributionException
from keydra.exceptions import RotationException
from keydra.logging import get_logger
LOGGER = get_log... | 28.965116 | 79 | 0.566439 | 236 | 2,491 | 5.788136 | 0.355932 | 0.065886 | 0.057101 | 0.041728 | 0.174231 | 0.060029 | 0.060029 | 0.060029 | 0 | 0 | 0 | 0.00062 | 0.352469 | 2,491 | 85 | 80 | 29.305882 | 0.846249 | 0.020875 | 0 | 0.227273 | 0 | 0 | 0.128847 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0 | 0.090909 | 0.015152 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e035da887a72ca05d47f4e04f4fd021e19671d0 | 1,356 | py | Python | sahyun_bot/utils_session.py | TheGoodlike13/sahyun-bot | 8ebc3d4e58a0acf9bde3c9ea8339145abcc53fcb | [
"MIT"
] | 1 | 2022-02-21T18:55:34.000Z | 2022-02-21T18:55:34.000Z | sahyun_bot/utils_session.py | TheGoodlike13/sahyun-bot | 8ebc3d4e58a0acf9bde3c9ea8339145abcc53fcb | [
"MIT"
] | null | null | null | sahyun_bot/utils_session.py | TheGoodlike13/sahyun-bot | 8ebc3d4e58a0acf9bde3c9ea8339145abcc53fcb | [
"MIT"
] | null | null | null | from requests import Session
from requests.adapters import HTTPAdapter
from urllib3 import Retry
from sahyun_bot.utils_logging import HttpDump
DEFAULT_RETRY_COUNT = 3
RETRY_ON_METHOD = frozenset([
'HEAD', 'GET', 'POST', 'PUT', 'DELETE', 'OPTIONS', 'TRACE'
])
RETRY_ON_STATUS = frozenset([
403, 429, 500, 502,... | 30.133333 | 117 | 0.668142 | 163 | 1,356 | 5.282209 | 0.490798 | 0.116144 | 0.081301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021256 | 0.236726 | 1,356 | 44 | 118 | 30.818182 | 0.810628 | 0.140118 | 0 | 0.066667 | 0 | 0 | 0.048161 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.266667 | 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 |
3e03fc65e12b6935503f8e6630624fed1809bd0e | 5,763 | py | Python | EzLibrarianApplication/DAO/BookCirculationDAO.py | coregameHD/SmartLib_Librarian | 31b58a4aab648ee9110ba6a78d5fcab942267380 | [
"MIT"
] | null | null | null | EzLibrarianApplication/DAO/BookCirculationDAO.py | coregameHD/SmartLib_Librarian | 31b58a4aab648ee9110ba6a78d5fcab942267380 | [
"MIT"
] | null | null | null | EzLibrarianApplication/DAO/BookCirculationDAO.py | coregameHD/SmartLib_Librarian | 31b58a4aab648ee9110ba6a78d5fcab942267380 | [
"MIT"
] | 2 | 2018-10-01T14:08:25.000Z | 2020-09-30T03:02:15.000Z | import json
import requests
from datetime import datetime, timedelta
from BookCirculation import BookCirculation
from DAO.AbstractDAO import AbstractDAO
from DAO.BookDAO import BookDAO
from DAO.UserDAO import UserDAO
from constant import *
from datetime import datetime
class BookCirculationDAO(AbstractDAO):
def __... | 39.472603 | 143 | 0.622245 | 587 | 5,763 | 5.930153 | 0.178876 | 0.027578 | 0.020684 | 0.027578 | 0.5237 | 0.511635 | 0.484631 | 0.484631 | 0.484631 | 0.456478 | 0 | 0.005366 | 0.288565 | 5,763 | 146 | 144 | 39.472603 | 0.843659 | 0.033837 | 0 | 0.5 | 0 | 0 | 0.04118 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0.008197 | 0.07377 | 0 | 0.270492 | 0.098361 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e0aba9a6fd99c2588436a872d706b50b1c4f2cd | 1,612 | py | Python | Server/server.py | mjbogusz/CCVR | 65b11d39c1412134f8a695b30955368eb43c2518 | [
"MIT"
] | null | null | null | Server/server.py | mjbogusz/CCVR | 65b11d39c1412134f8a695b30955368eb43c2518 | [
"MIT"
] | null | null | null | Server/server.py | mjbogusz/CCVR | 65b11d39c1412134f8a695b30955368eb43c2518 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from http.server import SimpleHTTPRequestHandler, HTTPServer
from urllib.parse import parse_qs
import time
class CCVRRequestHandler(SimpleHTTPRequestHandler):
def do_GET(self):
# Add 'files' prefix
self.path = '/files' + self.path
super().do_GET()
def do_HEAD(self):
# Add 'files' pre... | 25.587302 | 66 | 0.673077 | 224 | 1,612 | 4.732143 | 0.415179 | 0.033019 | 0.060377 | 0.033962 | 0.171698 | 0.101887 | 0.101887 | 0.101887 | 0.101887 | 0.101887 | 0 | 0.019231 | 0.16129 | 1,612 | 62 | 67 | 26 | 0.764793 | 0.036601 | 0 | 0.163265 | 0 | 0 | 0.128387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0.020408 | 0.081633 | 0 | 0.204082 | 0.061224 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e0adca23e72763263f72a46a3ff5aad270ff8c2 | 4,907 | py | Python | dags/dag_update.py | alyildiz/btc_forecast | b1e70431c9f18bee0afda71b96805f6194072548 | [
"MIT"
] | 5 | 2021-09-06T08:42:02.000Z | 2021-11-15T15:04:57.000Z | dags/dag_update.py | alyildiz/sncf_forecast | b1e70431c9f18bee0afda71b96805f6194072548 | [
"MIT"
] | null | null | null | dags/dag_update.py | alyildiz/sncf_forecast | b1e70431c9f18bee0afda71b96805f6194072548 | [
"MIT"
] | null | null | null | import os
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.docker_operator import DockerOperator
from docker.types import Mount
default_args = {
"owner": "airflow",
"description": "Use of the DockerOperator",
"depend_on_past": False,
"start_date": datetime(2021, ... | 41.584746 | 109 | 0.651314 | 579 | 4,907 | 5.193437 | 0.193437 | 0.04423 | 0.08979 | 0.107749 | 0.699036 | 0.683073 | 0.636515 | 0.634187 | 0.604589 | 0.588294 | 0 | 0.003587 | 0.204606 | 4,907 | 117 | 110 | 41.940171 | 0.766846 | 0 | 0 | 0.518519 | 0 | 0 | 0.352558 | 0.144691 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.009259 | 0.046296 | 0 | 0.046296 | 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 |
3e105c7bee23ddd23731ff6b0bc65a97faa40678 | 2,536 | py | Python | examples/tutorial7.py | fangj99/gifmaze | fd0f7fbf592537a26b13359ccf87dab836d9b1b3 | [
"MIT"
] | 7 | 2018-04-28T17:25:25.000Z | 2021-08-15T17:52:11.000Z | examples/tutorial7.py | fangj99/gifmaze | fd0f7fbf592537a26b13359ccf87dab836d9b1b3 | [
"MIT"
] | null | null | null | examples/tutorial7.py | fangj99/gifmaze | fd0f7fbf592537a26b13359ccf87dab836d9b1b3 | [
"MIT"
] | 2 | 2019-10-30T03:40:50.000Z | 2022-01-02T05:44:33.000Z | # -*- coding: utf-8 -*-
"""
This script shows how to embed the animation into a
background image (it's also possible to embed the animation
into another animation, but that's too complicated to implement
in a simple program ...)
"""
from colorsys import hls_to_rgb
import gifmaze as gm
from gifmaze.algorithms import wil... | 31.308642 | 86 | 0.714117 | 429 | 2,536 | 4.13986 | 0.414918 | 0.027027 | 0.027027 | 0.038288 | 0.127252 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051841 | 0.18612 | 2,536 | 80 | 87 | 31.7 | 0.808624 | 0.473975 | 0 | 0.058824 | 0 | 0 | 0.029096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e105caf515da97595cf131c9228511ab5a47c2b | 313 | py | Python | 2-mouth02/socket/communnication.py | gary-gggggg/gary | d8ba30ea4bc2b662a2d6a87d247f813e5680d63e | [
"Apache-2.0"
] | 4 | 2021-02-01T10:28:11.000Z | 2021-02-01T10:34:40.000Z | 2-mouth02/socket/communnication.py | gary-gggggg/gary | d8ba30ea4bc2b662a2d6a87d247f813e5680d63e | [
"Apache-2.0"
] | null | null | null | 2-mouth02/socket/communnication.py | gary-gggggg/gary | d8ba30ea4bc2b662a2d6a87d247f813e5680d63e | [
"Apache-2.0"
] | null | null | null | from socket import *
a=input("请输入IP地址:")
b=input("请输入端口:")
ADDR = ("176.17.12.178", 31414)
giao = socket(AF_INET, SOCK_DGRAM)
while 1:
m = input(":")
if not m:
break
else:
giao.sendto(m.encode(), ADDR)
d, a = giao.recvfrom(1024)
print("意思是", d.decode())
giao.close()
| 18.411765 | 37 | 0.5623 | 46 | 313 | 3.782609 | 0.76087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08547 | 0.252396 | 313 | 16 | 38 | 19.5625 | 0.65812 | 0 | 0 | 0 | 0 | 0 | 0.099042 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e11beb96e30d1e453934e9af1acf5d6478cd742 | 244 | py | Python | nice_paintig.py | rushdi21-meet/meet2019y1lab6 | e87c2f04593c8f7e3a5c1c66260c49a3690db90c | [
"MIT"
] | null | null | null | nice_paintig.py | rushdi21-meet/meet2019y1lab6 | e87c2f04593c8f7e3a5c1c66260c49a3690db90c | [
"MIT"
] | null | null | null | nice_paintig.py | rushdi21-meet/meet2019y1lab6 | e87c2f04593c8f7e3a5c1c66260c49a3690db90c | [
"MIT"
] | null | null | null | import turtle
color=["green", "yellow",'orange','blue','pruple','red','pink']
x=10
y= 270
i=0
turtle.bgcolor("black")
while True:
turtle.color(color[0])
turtle.forward(x)
turtle.left(y)
x+=10
y-=1
i+=1
turtle.mainloop()
| 16.266667 | 63 | 0.614754 | 39 | 244 | 3.846154 | 0.615385 | 0.146667 | 0.053333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054455 | 0.172131 | 244 | 14 | 64 | 17.428571 | 0.688119 | 0 | 0 | 0 | 0 | 0 | 0.159836 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 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 |
3e1247da76756de4876b84765ac8609022ba7513 | 2,446 | py | Python | enzynet/models.py | gdarkwah/enzynet | 7367635ae73595822133577054743a4c4c327cf3 | [
"MIT"
] | 189 | 2017-07-20T22:16:22.000Z | 2022-02-21T17:57:41.000Z | enzynet/models.py | gdarkwah/enzynet | 7367635ae73595822133577054743a4c4c327cf3 | [
"MIT"
] | 16 | 2019-05-09T14:47:44.000Z | 2021-09-19T00:25:59.000Z | enzynet/models.py | gdarkwah/enzynet | 7367635ae73595822133577054743a4c4c327cf3 | [
"MIT"
] | 93 | 2017-07-20T22:55:41.000Z | 2022-03-12T19:42:14.000Z | """Model definitions."""
# Authors: Afshine Amidi <lastname@mit.edu>
# Shervine Amidi <firstname@stanford.edu>
# MIT License
import numpy as np
from enzynet import constants
from keras import initializers
from keras import layers
from keras.layers import advanced_activations
from keras import models
from k... | 28.114943 | 80 | 0.618561 | 278 | 2,446 | 5.316547 | 0.294964 | 0.064953 | 0.094723 | 0.110961 | 0.581867 | 0.512855 | 0.479026 | 0.479026 | 0.479026 | 0.479026 | 0 | 0.040314 | 0.269828 | 2,446 | 86 | 81 | 28.44186 | 0.787234 | 0.080131 | 0 | 0.5 | 0 | 0 | 0.016562 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017241 | false | 0 | 0.12069 | 0 | 0.155172 | 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 |
3e140c63bd33992dd5d90e07a79edb1db5f260ce | 10,357 | py | Python | FeatureCloud/api/cli/test/commands.py | FeatureCloud/FeatureCloud | 3421bc9621201ae4a888192f09886122b0cb571a | [
"Apache-2.0"
] | null | null | null | FeatureCloud/api/cli/test/commands.py | FeatureCloud/FeatureCloud | 3421bc9621201ae4a888192f09886122b0cb571a | [
"Apache-2.0"
] | null | null | null | FeatureCloud/api/cli/test/commands.py | FeatureCloud/FeatureCloud | 3421bc9621201ae4a888192f09886122b0cb571a | [
"Apache-2.0"
] | null | null | null | import os
import click
import requests
from FeatureCloud.api.imp.exceptions import FCException
from FeatureCloud.api.imp.test import commands
from FeatureCloud.api.cli.test.workflow.commands import workflow
@click.group("test")
def test() -> None:
"""Testbed related commands"""
test.add_comma... | 51.527363 | 220 | 0.663609 | 1,334 | 10,357 | 5.096702 | 0.134183 | 0.100897 | 0.038241 | 0.058244 | 0.624504 | 0.582144 | 0.564495 | 0.541697 | 0.518459 | 0.473746 | 0 | 0.00867 | 0.209327 | 10,357 | 200 | 221 | 51.785 | 0.82159 | 0.03949 | 0 | 0.464968 | 0 | 0.133758 | 0.46803 | 0.011466 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057325 | false | 0 | 0.038217 | 0 | 0.095541 | 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 |
3e14c4fe464f76c3e655c88c87bd66bc84933f25 | 4,188 | py | Python | axi_plot/utils.py | zoso95/axi_plot | 1a8c1f601c75e149d60377ccc4a437c33b3620bb | [
"MIT"
] | null | null | null | axi_plot/utils.py | zoso95/axi_plot | 1a8c1f601c75e149d60377ccc4a437c33b3620bb | [
"MIT"
] | null | null | null | axi_plot/utils.py | zoso95/axi_plot | 1a8c1f601c75e149d60377ccc4a437c33b3620bb | [
"MIT"
] | null | null | null | import subprocess
import logging
import os, time
from pathlib import Path
from shutil import copyfile
import pandas as pd
from datetime import datetime
def estimate_time(filename, config, layer=None):
base_commands = ['axicli', filename, '--config', config]
end_command = ['-vTC']
if layer is None:
... | 36.417391 | 138 | 0.680755 | 555 | 4,188 | 4.976577 | 0.252252 | 0.032585 | 0.036206 | 0.062998 | 0.433744 | 0.330558 | 0.260319 | 0.260319 | 0.260319 | 0.224113 | 0 | 0.001766 | 0.188634 | 4,188 | 114 | 139 | 36.736842 | 0.811065 | 0.10554 | 0 | 0.222222 | 0 | 0 | 0.093099 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135802 | false | 0 | 0.08642 | 0 | 0.320988 | 0.061728 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e14f76f2adf0f315a94c191c5946f1de65d9fa9 | 5,258 | py | Python | scripts/regions_optimize.py | jason-neal/Starfish | 4ffa45e0190fb6f3262511d57d1a563e5ee711de | [
"BSD-3-Clause"
] | 1 | 2017-07-10T00:06:36.000Z | 2017-07-10T00:06:36.000Z | scripts/regions_optimize.py | jason-neal/Starfish | 4ffa45e0190fb6f3262511d57d1a563e5ee711de | [
"BSD-3-Clause"
] | null | null | null | scripts/regions_optimize.py | jason-neal/Starfish | 4ffa45e0190fb6f3262511d57d1a563e5ee711de | [
"BSD-3-Clause"
] | 5 | 2016-06-11T09:48:16.000Z | 2019-08-07T19:52:41.000Z | #!/usr/bin/env python
import argparse
parser = argparse.ArgumentParser(prog="region_optimize.py", description="Find the kernel parameters for Gaussian region zones.")
parser.add_argument("spectrum", help="JSON file containing the data, model, and residual.")
parser.add_argument("--sigma0", type=float, default=2, help=... | 30.929412 | 135 | 0.659947 | 801 | 5,258 | 4.25593 | 0.292135 | 0.020534 | 0.019361 | 0.016427 | 0.424758 | 0.410678 | 0.379583 | 0.355529 | 0.355529 | 0.355529 | 0 | 0.014081 | 0.216622 | 5,258 | 169 | 136 | 31.112426 | 0.813547 | 0.288513 | 0 | 0.410526 | 0 | 0.010526 | 0.112259 | 0 | 0 | 0 | 0 | 0 | 0.021053 | 1 | 0.042105 | false | 0 | 0.105263 | 0 | 0.210526 | 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 |
3e15b565f2c5c8e4188c7106981c4468935c3719 | 2,261 | py | Python | Bases/download_bases.py | lucas26xd/Estudo-Dados-COVID19-BR | cba0278e1cbd2464b4b4c7faa866d05d9968247d | [
"MIT"
] | null | null | null | Bases/download_bases.py | lucas26xd/Estudo-Dados-COVID19-BR | cba0278e1cbd2464b4b4c7faa866d05d9968247d | [
"MIT"
] | null | null | null | Bases/download_bases.py | lucas26xd/Estudo-Dados-COVID19-BR | cba0278e1cbd2464b4b4c7faa866d05d9968247d | [
"MIT"
] | null | null | null | import requests
from urllib.request import urlopen
from bs4 import BeautifulSoup
def get_urls_and_last_updates(): # Pega a url e a ultima data de atualização das bases disponíveis no OpenDataSUS
urls = list()
last_ups = list()
try:
html = BeautifulSoup(urlopen('https://opendatasus.saude.gov.br/da... | 39.666667 | 132 | 0.587793 | 310 | 2,261 | 4.154839 | 0.387097 | 0.034161 | 0.015528 | 0.021739 | 0.127329 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024522 | 0.260504 | 2,261 | 56 | 133 | 40.375 | 0.745813 | 0.066342 | 0 | 0.122449 | 0 | 0.020408 | 0.236243 | 0.048387 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040816 | false | 0 | 0.061224 | 0 | 0.122449 | 0.204082 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e16ddbf593ddf87a424ef3546058ed337f938d3 | 10,699 | py | Python | rax/_src/utils_test.py | google/rax | d6370d574246db9fb0566317f7cac8cd331526d7 | [
"Apache-2.0"
] | 19 | 2022-01-25T12:37:51.000Z | 2022-03-30T17:12:45.000Z | rax/_src/utils_test.py | google/rax | d6370d574246db9fb0566317f7cac8cd331526d7 | [
"Apache-2.0"
] | 1 | 2022-02-08T23:02:42.000Z | 2022-02-08T23:02:42.000Z | rax/_src/utils_test.py | google/rax | d6370d574246db9fb0566317f7cac8cd331526d7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 34.291667 | 79 | 0.639873 | 1,623 | 10,699 | 4.041898 | 0.126309 | 0.092988 | 0.096037 | 0.106707 | 0.619512 | 0.575305 | 0.495274 | 0.426829 | 0.331402 | 0.262805 | 0 | 0.058144 | 0.183382 | 10,699 | 311 | 80 | 34.401929 | 0.692686 | 0.056173 | 0 | 0.239024 | 0 | 0 | 0.001687 | 0 | 0 | 0 | 0 | 0 | 0.204878 | 1 | 0.121951 | false | 0 | 0.034146 | 0 | 0.190244 | 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 |
3e182689577a11bad1e8f7437a3d622ced715f94 | 427 | py | Python | examples/decorators.py | FusionSid/FusionSidAPI.py | e1b50622bf4fcec8265f8fd4e9b3ac79b580d286 | [
"MIT"
] | 5 | 2022-03-05T23:29:33.000Z | 2022-03-20T07:44:20.000Z | examples/decorators.py | FusionSid/FusionSidAPI.py | e1b50622bf4fcec8265f8fd4e9b3ac79b580d286 | [
"MIT"
] | null | null | null | examples/decorators.py | FusionSid/FusionSidAPI.py | e1b50622bf4fcec8265f8fd4e9b3ac79b580d286 | [
"MIT"
] | null | null | null | import asyncio
from fusionsid import Decorators
deco = Decorators
do_roast = deco.roast
@deco.compliment() # will give you a complement before the function is run
@Decorators.fact() # you can just put the class name and use that instead of setting it to a var
@do_roast() # you can set it to a variable and use th... | 23.722222 | 97 | 0.744731 | 70 | 427 | 4.457143 | 0.657143 | 0.044872 | 0.064103 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177986 | 427 | 17 | 98 | 25.117647 | 0.888889 | 0.400468 | 0 | 0 | 0 | 0 | 0.02381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e188c93ed7a3552c4548ac6fc5970107dcdbcdb | 2,303 | py | Python | configs/raubtierv2b/centripetalnet_hourglass104_mstest_16x6_210e_coco_raubtierv2b_2gpu.py | esf-bt2020/mmdetection | abc5fe060e0fcb716f845c85441be3741b22d3cf | [
"Apache-2.0"
] | null | null | null | configs/raubtierv2b/centripetalnet_hourglass104_mstest_16x6_210e_coco_raubtierv2b_2gpu.py | esf-bt2020/mmdetection | abc5fe060e0fcb716f845c85441be3741b22d3cf | [
"Apache-2.0"
] | null | null | null | configs/raubtierv2b/centripetalnet_hourglass104_mstest_16x6_210e_coco_raubtierv2b_2gpu.py | esf-bt2020/mmdetection | abc5fe060e0fcb716f845c85441be3741b22d3cf | [
"Apache-2.0"
] | null | null | null | # Basiskonfigurationsfile
_base_ = '../centripetalnet/centripetalnet_hourglass104_mstest_16x6_210e_coco.py'
model = dict(
type='CornerNet',
backbone=dict(
type='HourglassNet',
downsample_times=5,
num_stacks=2,
stage_channels=[256, 256, 384, 384, 384, 512],
stage_blocks=... | 37.145161 | 191 | 0.691706 | 305 | 2,303 | 4.97377 | 0.409836 | 0.058009 | 0.105471 | 0.118655 | 0.452208 | 0.377719 | 0.333553 | 0.239947 | 0.239947 | 0.160844 | 0 | 0.101632 | 0.175423 | 2,303 | 61 | 192 | 37.754098 | 0.697209 | 0.190187 | 0 | 0.065217 | 0 | 0 | 0.307983 | 0.213053 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e1c92be5d3fa432577c6a625de6487e656413d6 | 3,175 | py | Python | firecares/firestation/tests/test_feedback.py | FireCARES/firecares | aa708d441790263206dd3a0a480eb6ca9031439d | [
"MIT"
] | 12 | 2016-01-30T02:28:35.000Z | 2019-05-29T15:49:56.000Z | firecares/firestation/tests/test_feedback.py | FireCARES/firecares | aa708d441790263206dd3a0a480eb6ca9031439d | [
"MIT"
] | 455 | 2015-07-27T20:21:56.000Z | 2022-03-11T23:26:20.000Z | firecares/firestation/tests/test_feedback.py | FireCARES/firecares | aa708d441790263206dd3a0a480eb6ca9031439d | [
"MIT"
] | 14 | 2015-07-29T09:45:53.000Z | 2020-10-21T20:03:17.000Z | import json
import mock
import os
from django.contrib.auth import get_user_model
from django.core import mail
from django.core.urlresolvers import reverse
from django.test import Client
from firecares.firestation.models import FireDepartment, FireStation, DataFeedback
from firecares.firecares_core.tests.base import Bas... | 42.333333 | 110 | 0.627402 | 381 | 3,175 | 5.065617 | 0.307087 | 0.036269 | 0.031088 | 0.033161 | 0.310881 | 0.277202 | 0.232642 | 0.194301 | 0.137306 | 0.095855 | 0 | 0.009032 | 0.267717 | 3,175 | 74 | 111 | 42.905405 | 0.821075 | 0.049449 | 0 | 0.245614 | 0 | 0 | 0.106689 | 0.029766 | 0 | 0 | 0 | 0 | 0.298246 | 1 | 0.017544 | false | 0 | 0.157895 | 0 | 0.192982 | 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 |
3e24e04ad5a6a1e6faafb25c71a578a2c2c42a6c | 4,772 | py | Python | api/api/endpoints/sensor_info.py | andschneider/ss_api | 4ddf5cd60d5e0e87e7641e97c9fbe78965c4b522 | [
"MIT"
] | null | null | null | api/api/endpoints/sensor_info.py | andschneider/ss_api | 4ddf5cd60d5e0e87e7641e97c9fbe78965c4b522 | [
"MIT"
] | 2 | 2019-12-26T17:31:56.000Z | 2020-01-06T19:45:05.000Z | api/api/endpoints/sensor_info.py | andschneider/soil_sense | 4ddf5cd60d5e0e87e7641e97c9fbe78965c4b522 | [
"MIT"
] | null | null | null | import datetime
import json
from flask import Response, request, Blueprint
from flask_jwt_extended import jwt_required
from flask_restplus import Api, Namespace, Resource, reqparse
from sqlalchemy.exc import IntegrityError
from api.core.db_execptions import bad_db_response
from api.core.models import SensorInfoModel,... | 33.843972 | 111 | 0.573135 | 513 | 4,772 | 5.177388 | 0.255361 | 0.069277 | 0.042169 | 0.042169 | 0.423946 | 0.360316 | 0.316642 | 0.240964 | 0.240964 | 0.240964 | 0 | 0.005625 | 0.329422 | 4,772 | 140 | 112 | 34.085714 | 0.824375 | 0.0614 | 0 | 0.292035 | 0 | 0 | 0.154505 | 0.006306 | 0 | 0 | 0 | 0.007143 | 0 | 1 | 0.035398 | false | 0 | 0.079646 | 0 | 0.212389 | 0.00885 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e263e2d36efcfc4b3135f0a65636317114a2c8d | 995 | py | Python | hash calculator.py | Andrea1141/hash-calculator | 182d2f9bcfa0227ad70f7fdb03dde4599717cafa | [
"MIT"
] | 1 | 2021-10-02T12:48:25.000Z | 2021-10-02T12:48:25.000Z | hash calculator.py | Andrea1141/hash-calculator | 182d2f9bcfa0227ad70f7fdb03dde4599717cafa | [
"MIT"
] | null | null | null | hash calculator.py | Andrea1141/hash-calculator | 182d2f9bcfa0227ad70f7fdb03dde4599717cafa | [
"MIT"
] | 1 | 2021-10-18T12:34:26.000Z | 2021-10-18T12:34:26.000Z | import tkinter, hashlib
root = tkinter.Tk()
root.title("Hash Calculator")
label = tkinter.Label(text="Write the string to hash")
label.pack()
option = tkinter.StringVar()
option.set("sha224")
string = tkinter.StringVar()
entry = tkinter.Entry(root, textvariable=string, width=150, justify="center")
entr... | 28.428571 | 139 | 0.684422 | 118 | 995 | 5.70339 | 0.466102 | 0.071322 | 0.044577 | 0.062407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048066 | 0.142714 | 995 | 34 | 140 | 29.264706 | 0.740914 | 0 | 0 | 0.08 | 0 | 0 | 0.183143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.04 | 0 | 0.08 | 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 |
3e28e0f9797870a68b28678349b8f468bf2771ae | 387 | py | Python | src/tandlr/notifications/routing.py | shrmoud/schoolapp | 7349ce18f56658d67daedf5e1abb352b5c15a029 | [
"Apache-2.0"
] | null | null | null | src/tandlr/notifications/routing.py | shrmoud/schoolapp | 7349ce18f56658d67daedf5e1abb352b5c15a029 | [
"Apache-2.0"
] | null | null | null | src/tandlr/notifications/routing.py | shrmoud/schoolapp | 7349ce18f56658d67daedf5e1abb352b5c15a029 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from channels.staticfiles import StaticFilesConsumer
from tandlr.notifications import consumers
channel_routing = {
'http.request': StaticFilesConsumer(),
# Wire up websocket channels to our consumers:
'websocket.connect': consumers.ws_connect,
'websocket.receive': consumers.... | 25.8 | 52 | 0.74677 | 40 | 387 | 7.125 | 0.6 | 0.115789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00303 | 0.147287 | 387 | 14 | 53 | 27.642857 | 0.860606 | 0.170543 | 0 | 0 | 0 | 0 | 0.207547 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e297317547f88cd2d57145599c9dcd9b0299b5a | 646 | py | Python | 2018/d03.py | m1el/advent-of-code | 0944579fd58c586ce5a72b4152c5105ec07846a1 | [
"MIT"
] | null | null | null | 2018/d03.py | m1el/advent-of-code | 0944579fd58c586ce5a72b4152c5105ec07846a1 | [
"MIT"
] | null | null | null | 2018/d03.py | m1el/advent-of-code | 0944579fd58c586ce5a72b4152c5105ec07846a1 | [
"MIT"
] | null | null | null | from collections import defaultdict, Counter
from itertools import product
import re
with open('03.txt') as fd:
inp = []
for l in fd.readlines():
groups = re.findall(r'\d+', l)
inp.append(list(map(int, groups)))
claims = defaultdict(int)
for (id, l,t, w,h) in inp:
for y in range(t,t+h):
... | 20.1875 | 45 | 0.547988 | 118 | 646 | 3 | 0.398305 | 0.079096 | 0.033898 | 0.039548 | 0.237288 | 0.237288 | 0.237288 | 0.237288 | 0.158192 | 0.158192 | 0 | 0.015453 | 0.298762 | 646 | 31 | 46 | 20.83871 | 0.766004 | 0 | 0 | 0.222222 | 0 | 0 | 0.014634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 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 |
3e2a44b8d417cc833a2bb62cb532d7fa7ff0e6b8 | 2,591 | py | Python | files/lambda/tagger.py | mbasri/generic-spot-cluster | cccfbee4660ae26742e1442f495dc9f523d0a2fd | [
"MIT"
] | 1 | 2019-12-24T18:53:34.000Z | 2019-12-24T18:53:34.000Z | files/lambda/tagger.py | mbasri/generic-spot-cluster | cccfbee4660ae26742e1442f495dc9f523d0a2fd | [
"MIT"
] | null | null | null | files/lambda/tagger.py | mbasri/generic-spot-cluster | cccfbee4660ae26742e1442f495dc9f523d0a2fd | [
"MIT"
] | null | null | null | import os
import sys
import logging
import boto3
def handler(event, context):
logger = setup_logging(context.aws_request_id)
logger.setLevel(logging.INFO)
logger.info('## ENVIRONMENT VARIABLES')
logger.info(os.environ)
logger.info('## EVENT')
logger.info(event)
count = '1'
CLUSTER_NAME = os.environ... | 22.530435 | 81 | 0.582015 | 275 | 2,591 | 5.4 | 0.345455 | 0.06734 | 0.012121 | 0.012121 | 0.095623 | 0.095623 | 0.043098 | 0.043098 | 0 | 0 | 0 | 0.009028 | 0.273254 | 2,591 | 115 | 82 | 22.530435 | 0.779607 | 0.005017 | 0 | 0.114583 | 0 | 0 | 0.208689 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020833 | false | 0 | 0.041667 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e2c4ce8c6ded9f25bc03ff3e20ecd6211356ad1 | 7,950 | py | Python | addressbook/views.py | webskate101/django-polymer-addressbook | bf41b6a83e7b9228b383129958488f1c8075c728 | [
"Apache-2.0"
] | null | null | null | addressbook/views.py | webskate101/django-polymer-addressbook | bf41b6a83e7b9228b383129958488f1c8075c728 | [
"Apache-2.0"
] | null | null | null | addressbook/views.py | webskate101/django-polymer-addressbook | bf41b6a83e7b9228b383129958488f1c8075c728 | [
"Apache-2.0"
] | null | null | null | """Holds the HTTP handlers for the addressbook app."""
from django import db
from django import http
from django.views import generic
import json
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from addressbook import models
JSON_XSSI_PREFIX = ")]}'\n"
... | 33.544304 | 80 | 0.684528 | 920 | 7,950 | 5.786957 | 0.181522 | 0.031555 | 0.028174 | 0.033058 | 0.579264 | 0.522164 | 0.48009 | 0.46882 | 0.46882 | 0.429564 | 0 | 0.000943 | 0.199748 | 7,950 | 236 | 81 | 33.686441 | 0.835901 | 0.18566 | 0 | 0.38 | 0 | 0 | 0.093931 | 0.0069 | 0 | 0 | 0 | 0.004237 | 0 | 1 | 0.113333 | false | 0 | 0.046667 | 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 |
3e2de9f463b88672a9f0881711bb0f7f45018e12 | 1,124 | py | Python | Housing Price/HouseRegression.py | anupriyamranjit/machinelearning | 5e1deef38d356fddcedfe0a23094571500c1c82d | [
"MIT"
] | null | null | null | Housing Price/HouseRegression.py | anupriyamranjit/machinelearning | 5e1deef38d356fddcedfe0a23094571500c1c82d | [
"MIT"
] | null | null | null | Housing Price/HouseRegression.py | anupriyamranjit/machinelearning | 5e1deef38d356fddcedfe0a23094571500c1c82d | [
"MIT"
] | null | null | null |
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import tensorflow as tf
import keras
import os
print(os.listdir("../input"))
print("Success")
# Any results you write to the current directory are saved as output.
# importing models/layers
from keras.models ... | 22.039216 | 96 | 0.758897 | 165 | 1,124 | 5.060606 | 0.521212 | 0.086228 | 0.046707 | 0.033533 | 0.067066 | 0.067066 | 0 | 0 | 0 | 0 | 0 | 0.008955 | 0.105872 | 1,124 | 50 | 97 | 22.48 | 0.821891 | 0.186833 | 0 | 0.214286 | 0 | 0 | 0.133038 | 0.028825 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e2e001920079b806a3731784374226e2f26379a | 1,194 | py | Python | migrations/versions/29e48091912e_remove_unique_constraint_from_user_table.py | GitauHarrison/somasoma_V1 | 2d74ad3b58f7e4ea5334e240d5bd30938f615e24 | [
"MIT"
] | null | null | null | migrations/versions/29e48091912e_remove_unique_constraint_from_user_table.py | GitauHarrison/somasoma_V1 | 2d74ad3b58f7e4ea5334e240d5bd30938f615e24 | [
"MIT"
] | 2 | 2021-11-11T19:04:10.000Z | 2021-11-11T19:08:42.000Z | migrations/versions/29e48091912e_remove_unique_constraint_from_user_table.py | GitauHarrison/somasoma_V1 | 2d74ad3b58f7e4ea5334e240d5bd30938f615e24 | [
"MIT"
] | 1 | 2021-09-09T13:44:26.000Z | 2021-09-09T13:44:26.000Z | """remove unique constraint from user table
Revision ID: 29e48091912e
Revises: f73df8de1f1f
Create Date: 2021-12-22 22:26:20.918461
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '29e48091912e'
down_revision = 'f73df8de1f1f'
branch_labels = None
depends_on = N... | 30.615385 | 83 | 0.69598 | 170 | 1,194 | 4.623529 | 0.323529 | 0.124682 | 0.05598 | 0.081425 | 0.592875 | 0.52799 | 0.492366 | 0.396947 | 0.396947 | 0.259542 | 0 | 0.052525 | 0.170854 | 1,194 | 38 | 84 | 31.421053 | 0.741414 | 0.269682 | 0 | 0.111111 | 0 | 0 | 0.179641 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e2e6a8e43d315af581125fc3cb4dc17b915f7a7 | 6,065 | py | Python | VBx/models/resnet.py | Jamiroquai88/VBx | 35e7954ac0042ea445dcec657130e2c3c0b94ee0 | [
"Apache-2.0"
] | 145 | 2020-02-13T09:08:59.000Z | 2022-03-28T02:05:38.000Z | VBx/models/resnet.py | Jamiroquai88/VBx | 35e7954ac0042ea445dcec657130e2c3c0b94ee0 | [
"Apache-2.0"
] | 39 | 2021-01-12T02:49:37.000Z | 2022-02-17T18:49:54.000Z | VBx/models/resnet.py | Jamiroquai88/VBx | 35e7954ac0042ea445dcec657130e2c3c0b94ee0 | [
"Apache-2.0"
] | 44 | 2020-02-13T03:57:35.000Z | 2022-03-31T07:05:09.000Z | '''ResNet in PyTorch.
For Pre-activation ResNet, see 'preact_resnet.py'.
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
class BasicBlock(nn.Module... | 40.433333 | 123 | 0.622754 | 832 | 6,065 | 4.365385 | 0.163462 | 0.039648 | 0.04185 | 0.039648 | 0.575991 | 0.522302 | 0.517621 | 0.493667 | 0.493667 | 0.493667 | 0 | 0.036352 | 0.251608 | 6,065 | 149 | 124 | 40.704698 | 0.763825 | 0.052102 | 0 | 0.380531 | 0 | 0 | 0.005402 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088496 | false | 0 | 0.035398 | 0.00885 | 0.230089 | 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 |
3e345a0575b803502ed9bfed61051d0d9fb3fa57 | 5,159 | py | Python | bc/recruitment/utils.py | Buckinghamshire-Digital-Service/buckinghamshire-council | bbbdb52b515bcdfc79a2bd9198dfa4828405370e | [
"BSD-3-Clause"
] | 1 | 2021-02-27T07:27:17.000Z | 2021-02-27T07:27:17.000Z | bc/recruitment/utils.py | Buckinghamshire-Digital-Service/buckinghamshire-council | bbbdb52b515bcdfc79a2bd9198dfa4828405370e | [
"BSD-3-Clause"
] | null | null | null | bc/recruitment/utils.py | Buckinghamshire-Digital-Service/buckinghamshire-council | bbbdb52b515bcdfc79a2bd9198dfa4828405370e | [
"BSD-3-Clause"
] | 1 | 2021-06-09T15:56:54.000Z | 2021-06-09T15:56:54.000Z | import json
from django import forms
from django.contrib.postgres.search import SearchQuery, SearchRank, SearchVector
from django.core.exceptions import ValidationError
from django.db.models import F
from django.db.models.functions import ACos, Cos, Radians, Sin
import requests
from bc.recruitment.constants import J... | 34.393333 | 107 | 0.652064 | 569 | 5,159 | 5.6942 | 0.339192 | 0.064198 | 0.040123 | 0.04321 | 0.196914 | 0.127469 | 0.127469 | 0.103395 | 0.080247 | 0.045062 | 0 | 0.00338 | 0.254507 | 5,159 | 149 | 108 | 34.624161 | 0.839054 | 0.149641 | 0 | 0.153846 | 0 | 0 | 0.073675 | 0.006426 | 0 | 0 | 0 | 0.006711 | 0 | 1 | 0.048077 | false | 0 | 0.086538 | 0.009615 | 0.182692 | 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 |
3e3c50b123745c81d1f91068db3b602d8d3f128d | 5,966 | py | Python | dynamo/preprocessing/dynast.py | xing-lab-pitt/dynamo-release | 76c1f2a270dd6722b88f4700aac1a1a725a0c261 | [
"BSD-3-Clause"
] | 236 | 2019-07-09T22:06:21.000Z | 2022-03-31T17:56:07.000Z | dynamo/preprocessing/dynast.py | xing-lab-pitt/dynamo-release | 76c1f2a270dd6722b88f4700aac1a1a725a0c261 | [
"BSD-3-Clause"
] | 115 | 2019-07-12T19:06:21.000Z | 2022-03-31T17:34:18.000Z | dynamo/preprocessing/dynast.py | xing-lab-pitt/dynamo-release | 76c1f2a270dd6722b88f4700aac1a1a725a0c261 | [
"BSD-3-Clause"
] | 34 | 2019-07-10T03:34:04.000Z | 2022-03-22T12:44:22.000Z | import numpy as np
from scipy.sparse import issparse
from sklearn.utils import sparsefuncs
import anndata
from typing import Union
from ..dynamo_logger import LoggerManager, main_tqdm
from ..utils import copy_adata
def lambda_correction(
adata: anndata.AnnData,
lambda_key: str = "lambda",
inplace: bool = ... | 35.301775 | 120 | 0.578947 | 733 | 5,966 | 4.567531 | 0.253752 | 0.055854 | 0.038829 | 0.048387 | 0.257168 | 0.207288 | 0.180406 | 0.128435 | 0.103943 | 0.028674 | 0 | 0.003477 | 0.325008 | 5,966 | 168 | 121 | 35.511905 | 0.827912 | 0.192927 | 0 | 0.266667 | 0 | 0 | 0.179449 | 0.005127 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019048 | false | 0 | 0.066667 | 0 | 0.114286 | 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 |
3e3cee6ba011350960f8e52993ae0b2666144798 | 4,095 | py | Python | tests/fullscale/poroelasticity/cryer/TestCryer.py | cehanagan/pylith | cf5c1c34040460a82f79b6eb54df894ed1b1ee93 | [
"MIT"
] | 93 | 2015-01-08T16:41:22.000Z | 2022-02-25T13:40:02.000Z | tests/fullscale/poroelasticity/cryer/TestCryer.py | sloppyjuicy/pylith | ac2c1587f87e45c948638b19560813d4d5b6a9e3 | [
"MIT"
] | 277 | 2015-02-20T16:27:35.000Z | 2022-03-30T21:13:09.000Z | tests/fullscale/poroelasticity/cryer/TestCryer.py | sloppyjuicy/pylith | ac2c1587f87e45c948638b19560813d4d5b6a9e3 | [
"MIT"
] | 71 | 2015-03-24T12:11:08.000Z | 2022-03-03T04:26:02.000Z | #!/usr/bin/env nemesis
#
# ----------------------------------------------------------------------
#
# Brad T. Aagaard, U.S. Geological Survey
# Charles A. Williams, GNS Science
# Matthew G. Knepley, University at Buffalo
#
# This code was developed as part of the Computational Infrastructure
# for Geodynamics (http://g... | 31.022727 | 99 | 0.477656 | 342 | 4,095 | 5.52924 | 0.435673 | 0.037017 | 0.04495 | 0.03596 | 0.356425 | 0.289265 | 0.289265 | 0.218403 | 0.218403 | 0.182443 | 0 | 0.004733 | 0.277656 | 4,095 | 131 | 100 | 31.259542 | 0.63455 | 0.298901 | 0 | 0.414634 | 0 | 0 | 0.158635 | 0.042912 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060976 | false | 0 | 0.04878 | 0.012195 | 0.182927 | 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 |
3e3e8c87814094936e4351a80831e5bb8fce82f9 | 3,551 | py | Python | util/data.py | pinaryazgan/GDN | 469e63fa8c2dce596c6f7e99f2620ac6eec7dadf | [
"MIT"
] | 156 | 2021-03-01T12:49:25.000Z | 2022-03-28T08:27:33.000Z | util/data.py | pinaryazgan/GDN | 469e63fa8c2dce596c6f7e99f2620ac6eec7dadf | [
"MIT"
] | 24 | 2021-04-19T10:08:35.000Z | 2022-03-28T11:42:54.000Z | util/data.py | pinaryazgan/GDN | 469e63fa8c2dce596c6f7e99f2620ac6eec7dadf | [
"MIT"
] | 54 | 2021-04-16T17:26:30.000Z | 2022-03-28T06:08:43.000Z | # util functions about data
from scipy.stats import rankdata, iqr, trim_mean
from sklearn.metrics import f1_score, mean_squared_error
import numpy as np
from numpy import percentile
def get_attack_interval(attack):
heads = []
tails = []
for i in range(len(attack)):
if attack[i] == 1:
... | 28.18254 | 101 | 0.664602 | 506 | 3,551 | 4.420949 | 0.179842 | 0.035762 | 0.040232 | 0.017881 | 0.416629 | 0.327671 | 0.327671 | 0.327671 | 0.327671 | 0.291909 | 0 | 0.016535 | 0.216559 | 3,551 | 126 | 102 | 28.18254 | 0.787563 | 0.12757 | 0 | 0.235294 | 0 | 0 | 0.003245 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0 | 0.308824 | 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 |
3e41a3d23f1cd5e224926d0f23ef2a864d4c94cb | 5,654 | py | Python | rrl-sysadmin/sysadmin.py | HyeokjuJang/sr-drl | 01fa8264c7b36f34f721303f455f37545dbce1fe | [
"MIT"
] | 14 | 2020-10-02T17:14:04.000Z | 2022-02-26T19:26:58.000Z | rrl-sysadmin/sysadmin.py | HyeokjuJang/sr-drl | 01fa8264c7b36f34f721303f455f37545dbce1fe | [
"MIT"
] | 1 | 2022-02-26T08:23:13.000Z | 2022-02-26T08:23:13.000Z | rrl-sysadmin/sysadmin.py | jaromiru/sr-drl | 01fa8264c7b36f34f721303f455f37545dbce1fe | [
"MIT"
] | 6 | 2021-05-04T13:24:12.000Z | 2021-12-06T12:51:30.000Z | import gym, random, copy, string, uuid
import numpy as np
rddl_template = string.Template('''
non-fluents nf_sysadmin_inst_$uid {
domain = sysadmin_mdp;
objects {
computer : {$objects};
};
non-fluents {
REBOOT-PROB = $reboot_prob;
$connections
};
}
instance sysadmin_inst_$uid {
domain = sysadmin_mdp;
non... | 25.241071 | 194 | 0.662363 | 842 | 5,654 | 4.266033 | 0.220903 | 0.054287 | 0.022272 | 0.011693 | 0.07461 | 0.054287 | 0.011693 | 0 | 0 | 0 | 0 | 0.014678 | 0.168553 | 5,654 | 223 | 195 | 25.35426 | 0.749415 | 0.105412 | 0 | 0.066225 | 0 | 0 | 0.113736 | 0.019849 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05298 | false | 0 | 0.02649 | 0 | 0.145695 | 0.019868 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e43d8b9a039af747051e4f38665ccd61353394f | 3,974 | py | Python | core/language_modelling.py | lkwate/e-greedy-lm | 02e81fee93ee93faca0c1eb339b3c5ad55b4a639 | [
"MIT"
] | 1 | 2021-11-09T19:18:00.000Z | 2021-11-09T19:18:00.000Z | core/language_modelling.py | lkwate/e-greedy-lm | 02e81fee93ee93faca0c1eb339b3c5ad55b4a639 | [
"MIT"
] | null | null | null | core/language_modelling.py | lkwate/e-greedy-lm | 02e81fee93ee93faca0c1eb339b3c5ad55b4a639 | [
"MIT"
] | null | null | null | import torch
import torch.optim as optim
from transformers import AutoTokenizer
from .utils import epsilon_greedy_transform_label, uid_variance_fn, OPTIMIZER_DIC
import pytorch_lightning as pl
class RLLMLightningModule(pl.LightningModule):
def __init__(
self,
model,
action_table: torch.Lon... | 32.842975 | 87 | 0.638903 | 445 | 3,974 | 5.373034 | 0.193258 | 0.097867 | 0.05688 | 0.070263 | 0.276872 | 0.256378 | 0.235466 | 0.235466 | 0.176495 | 0.138854 | 0 | 0 | 0.28158 | 3,974 | 120 | 88 | 33.116667 | 0.837478 | 0 | 0 | 0.105769 | 0 | 0 | 0.037997 | 0.011072 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.048077 | 0.028846 | 0.240385 | 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 |
3e49ee4375c4fdbca12777a89f48b0e9f1e01d7a | 3,590 | py | Python | tests/imperative_vs_reactive/test_get_daily_average.py | BastiTee/bastis-python-toolbox | c313cf12607a973a1a8b8a9fbd73b2c8a47a82d8 | [
"Apache-2.0"
] | 1 | 2016-04-06T14:09:43.000Z | 2016-04-06T14:09:43.000Z | tests/imperative_vs_reactive/test_get_daily_average.py | BastiTee/bastis-python-toolbox | c313cf12607a973a1a8b8a9fbd73b2c8a47a82d8 | [
"Apache-2.0"
] | null | null | null | tests/imperative_vs_reactive/test_get_daily_average.py | BastiTee/bastis-python-toolbox | c313cf12607a973a1a8b8a9fbd73b2c8a47a82d8 | [
"Apache-2.0"
] | 1 | 2022-03-19T04:21:40.000Z | 2022-03-19T04:21:40.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Test suite for the daily average Toggl API process."""
from random import random
from tempfile import NamedTemporaryFile
from time import sleep, time
from unittest import TestCase
from recipes.imperative_vs_reactive.get_daily_average_imp import \
get_avg_daily_wor... | 39.450549 | 79 | 0.620334 | 507 | 3,590 | 4.232742 | 0.327416 | 0.04753 | 0.044734 | 0.037279 | 0.237651 | 0.17987 | 0.162162 | 0.1137 | 0.070829 | 0.027959 | 0 | 0.184339 | 0.256546 | 3,590 | 90 | 80 | 39.888889 | 0.619708 | 0.217827 | 0 | 0.140351 | 0 | 0 | 0.266836 | 0.18139 | 0 | 0 | 0 | 0 | 0.035088 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.210526 | 0.087719 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e4a37d31db8b27c20ff44c3b6b28b18b2dd20b1 | 4,077 | py | Python | pox/stats_monitor.py | nachtkatze/sdn-diagnosis | 22b187d276bf302ef5811abc946b1af125dd17bc | [
"Apache-2.0"
] | null | null | null | pox/stats_monitor.py | nachtkatze/sdn-diagnosis | 22b187d276bf302ef5811abc946b1af125dd17bc | [
"Apache-2.0"
] | null | null | null | pox/stats_monitor.py | nachtkatze/sdn-diagnosis | 22b187d276bf302ef5811abc946b1af125dd17bc | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Oscar Araque
#
# 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 writin... | 36.72973 | 81 | 0.709345 | 576 | 4,077 | 4.920139 | 0.401042 | 0.021171 | 0.017643 | 0.017996 | 0.179605 | 0.162668 | 0.162668 | 0.139379 | 0.12844 | 0.12844 | 0 | 0.003909 | 0.184204 | 4,077 | 110 | 82 | 37.063636 | 0.848166 | 0.382144 | 0 | 0.224138 | 0 | 0 | 0.133441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0 | 0.172414 | 0 | 0.310345 | 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 |
3e4a39484ed02c469223ab4065ec6d989a83a302 | 7,623 | py | Python | tests/app_example.py | omarryhan/flask-stateless-auth | c6acefc55050d1a53235ead20cb7d5e9eb4bbf9a | [
"MIT"
] | 3 | 2018-09-13T19:55:47.000Z | 2018-09-15T18:31:22.000Z | tests/app_example.py | omarryhan/flask-stateless-auth | c6acefc55050d1a53235ead20cb7d5e9eb4bbf9a | [
"MIT"
] | null | null | null | tests/app_example.py | omarryhan/flask-stateless-auth | c6acefc55050d1a53235ead20cb7d5e9eb4bbf9a | [
"MIT"
] | null | null | null | import os
import datetime
import secrets
import json
from flask import Flask, abort, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.orm.exc import NoResultFound, MultipleResultsFound
from werkzeug.security import safe_str_cmp
from flask_stateless_auth import (
StatelessAuthError,
Sta... | 30.987805 | 88 | 0.674406 | 934 | 7,623 | 5.251606 | 0.188437 | 0.04159 | 0.036697 | 0.017329 | 0.370438 | 0.333129 | 0.240367 | 0.232824 | 0.214883 | 0.185117 | 0 | 0.009845 | 0.213827 | 7,623 | 245 | 89 | 31.114286 | 0.80861 | 0.038436 | 0 | 0.255102 | 0 | 0 | 0.073831 | 0.010254 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086735 | false | 0 | 0.045918 | 0.015306 | 0.336735 | 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 |
3e4e3e3f65d730e416b620ade003178d96c61532 | 920 | py | Python | stereo/stereo.py | whaleygeek/microbit_python | 1fa8e0f34cfa2a92d7c5c32fc5ee5287c5d5b105 | [
"MIT"
] | 8 | 2016-11-15T23:04:25.000Z | 2021-05-17T17:42:47.000Z | stereo/stereo.py | whaleygeek/microbit_python | 1fa8e0f34cfa2a92d7c5c32fc5ee5287c5d5b105 | [
"MIT"
] | null | null | null | stereo/stereo.py | whaleygeek/microbit_python | 1fa8e0f34cfa2a92d7c5c32fc5ee5287c5d5b105 | [
"MIT"
] | null | null | null | from microbit import *
import music
A = False
B = False
PITCH = 440
# PIN2 read_analog()
ACTION_VALUE = 50
VOLUMEUP_VALUE = 150
VOLUMEDOWN_VALUE = 350
#nothing: 944
prev_l = False
prev_r = False
l = False
r = False
while True:
v = pin2.read_analog()
if v < ACTION_VALUE:
l,r = True, True
elif v <... | 18.77551 | 40 | 0.519565 | 130 | 920 | 3.538462 | 0.315385 | 0.052174 | 0.130435 | 0.047826 | 0.147826 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056537 | 0.384783 | 920 | 48 | 41 | 19.166667 | 0.756184 | 0.032609 | 0 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.052632 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e50073943f2d59f2a64f9e25a36110605822852 | 1,062 | py | Python | comments/migrations/0004_auto_20170531_1011.py | salazarpardo/redinnovacion | 3f7c13af0af1887112a0492aea7782871fba0129 | [
"CC-BY-3.0"
] | null | null | null | comments/migrations/0004_auto_20170531_1011.py | salazarpardo/redinnovacion | 3f7c13af0af1887112a0492aea7782871fba0129 | [
"CC-BY-3.0"
] | null | null | null | comments/migrations/0004_auto_20170531_1011.py | salazarpardo/redinnovacion | 3f7c13af0af1887112a0492aea7782871fba0129 | [
"CC-BY-3.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('comments', '0003_comment_public'),
]
... | 34.258065 | 114 | 0.615819 | 103 | 1,062 | 6.126214 | 0.563107 | 0.031696 | 0.050713 | 0.066561 | 0.091918 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006297 | 0.252354 | 1,062 | 30 | 115 | 35.4 | 0.788413 | 0.019774 | 0 | 0.083333 | 0 | 0 | 0.130895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e522957a432795bf32198db1cc68b1e2615e3f9 | 1,924 | py | Python | Script/calculate_RMSD.py | dhruvsangamwar/Protein-structure-prediction | 99364bfd62f8293ddbe8e2c9a86ca7850b270d44 | [
"MIT"
] | 1 | 2022-01-30T08:20:08.000Z | 2022-01-30T08:20:08.000Z | Script/calculate_RMSD.py | dhruvsangamwar/ECS_129_Protein-structure-prediction | 99364bfd62f8293ddbe8e2c9a86ca7850b270d44 | [
"MIT"
] | null | null | null | Script/calculate_RMSD.py | dhruvsangamwar/ECS_129_Protein-structure-prediction | 99364bfd62f8293ddbe8e2c9a86ca7850b270d44 | [
"MIT"
] | null | null | null | import pdbCleanup as pc
import fxndefinitions as f
import numpy as np
from numpy.linalg import eig
pc.takeInput1()
DataFrame1 = []
pc.CsvToDataframe(DataFrame1)
pc.takeInput2()
DataFrame2 = []
pc.CsvToDataframe(DataFrame2)
xtil = [0, 0, 0]
ytil = [0, 0, 0]
x = np.array(DataFrame1)
y = np.array(DataFrame2)
# This f... | 24.666667 | 67 | 0.613825 | 348 | 1,924 | 3.385057 | 0.316092 | 0.042445 | 0.03056 | 0.025467 | 0.160441 | 0.025467 | 0.025467 | 0 | 0 | 0 | 0 | 0.112517 | 0.219335 | 1,924 | 77 | 68 | 24.987013 | 0.671771 | 0.254158 | 0 | 0.043478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.086957 | 0 | 0.086957 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e572d40ef88a1ec3058d9cc94eb6dce557f2d6d | 4,728 | py | Python | src/voicemaker/voicemaker.py | IAL32/voicemaker | 66c9dd25749743d94bb9c3aac8ba2c858f327723 | [
"MIT"
] | null | null | null | src/voicemaker/voicemaker.py | IAL32/voicemaker | 66c9dd25749743d94bb9c3aac8ba2c858f327723 | [
"MIT"
] | 1 | 2022-03-04T14:52:16.000Z | 2022-03-08T08:00:59.000Z | src/voicemaker/voicemaker.py | IAL32/voicemaker | 66c9dd25749743d94bb9c3aac8ba2c858f327723 | [
"MIT"
] | null | null | null | import requests
LANGUAGES_LIST = [
'en-US', 'en-GB', 'en-AU', 'en-HK', 'en-NZ', 'en-SG', 'en-ZA', 'de-DE',
'ar-XA', 'ar-SA', 'bn-IN', 'bg-BG', 'ca-ES', 'cmn-CN', 'zh-HK', 'cmn-TW',
'cy-GB', 'cs-CZ', 'da-DK', 'de-CH', 'es-AR', 'es-CO', 'es-US', 'ga-IE',
'gu-IN', 'hr-HR', 'mr-IN', 'ms-MY', 'mt-MT', 'nl-N... | 39.4 | 164 | 0.597716 | 663 | 4,728 | 4.143288 | 0.334842 | 0.036403 | 0.012013 | 0.013105 | 0.123407 | 0.101565 | 0.101565 | 0.101565 | 0.065526 | 0.065526 | 0 | 0.019199 | 0.239848 | 4,728 | 119 | 165 | 39.731092 | 0.745131 | 0.356176 | 0 | 0.092308 | 0 | 0 | 0.223598 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.123077 | false | 0 | 0.015385 | 0 | 0.261538 | 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 |
3e5810f45ee6abfb855c478735026a678b651dd9 | 1,365 | py | Python | Lecture/Kapitel 9 - Seite 235 - Implementierung des Gradientenverfahrens.py | PhilippMatthes/tensorflow-playground | b5fee6e5f5044dc5cbcd54529d559388a3df7813 | [
"MIT"
] | null | null | null | Lecture/Kapitel 9 - Seite 235 - Implementierung des Gradientenverfahrens.py | PhilippMatthes/tensorflow-playground | b5fee6e5f5044dc5cbcd54529d559388a3df7813 | [
"MIT"
] | null | null | null | Lecture/Kapitel 9 - Seite 235 - Implementierung des Gradientenverfahrens.py | PhilippMatthes/tensorflow-playground | b5fee6e5f5044dc5cbcd54529d559388a3df7813 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
from sklearn.datasets import fetch_california_housing
housing = fetch_california_housing()
m, n = housing.data.shape
housing_data_plus_bias = np.c_[np.ones((m, 1)), housing.data]
X = tf.constant(housing_data_plus_bias, dtype=tf.float32, name="X")
y = tf.constant(housing.targ... | 26.764706 | 81 | 0.69304 | 203 | 1,365 | 4.507389 | 0.384236 | 0.078689 | 0.048087 | 0.04153 | 0.072131 | 0.072131 | 0 | 0 | 0 | 0 | 0 | 0.024583 | 0.165568 | 1,365 | 51 | 82 | 26.764706 | 0.778753 | 0 | 0 | 0.171429 | 0 | 0 | 0.022694 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.085714 | 0 | 0.114286 | 0.057143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e582f1280b1545b27d8bb65ef57684f484bd7bc | 1,634 | py | Python | python/Fluoroseq/obsolete/scripts/intrinsic_pr_bounds.py | erisyon/whatprot | 176cd7e6ee99ea3f91794dcf1ec14f3578b7ee3c | [
"MIT"
] | null | null | null | python/Fluoroseq/obsolete/scripts/intrinsic_pr_bounds.py | erisyon/whatprot | 176cd7e6ee99ea3f91794dcf1ec14f3578b7ee3c | [
"MIT"
] | 1 | 2021-06-12T00:50:08.000Z | 2021-06-15T17:59:12.000Z | python/Fluoroseq/obsolete/scripts/intrinsic_pr_bounds.py | erisyon/whatprot | 176cd7e6ee99ea3f91794dcf1ec14f3578b7ee3c | [
"MIT"
] | 1 | 2021-06-11T19:34:43.000Z | 2021-06-11T19:34:43.000Z | # -*- coding: utf-8 -*-
"""
@author: Matthew Beauregard Smith (UT Austin)
"""
from common.peptide import Peptide
from plotting.plot_pr_curve import plot_pr_curve
from numpy import load
from simulate.label_peptides import label_peptides
TRUE_Y_FILE = 'C:/Users/Matthew/ICES/MarcotteLab/data/classification/c... | 30.259259 | 105 | 0.676255 | 245 | 1,634 | 4.253061 | 0.35102 | 0.028791 | 0.03167 | 0.048944 | 0.128599 | 0.128599 | 0.128599 | 0.128599 | 0.128599 | 0.128599 | 0 | 0.01446 | 0.195838 | 1,634 | 53 | 106 | 30.830189 | 0.778539 | 0.056304 | 0 | 0.093023 | 0 | 0 | 0.120352 | 0.114943 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.093023 | 0.023256 | 0.186047 | 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 |
3e5b857f8383e340919c32b08170a5b4cd5f70b7 | 820 | py | Python | python-basic-project/unit08/myfinance.py | sharebook-kr/learningspoons-bootcamp-finance | 0288f3f3b39f54420e4e9987f1de12892dc680ea | [
"MIT"
] | 9 | 2020-10-25T15:13:32.000Z | 2022-03-26T11:27:21.000Z | python-basic-project/unit08/myfinance.py | sharebook-kr/learningspoons-bootcamp-finance | 0288f3f3b39f54420e4e9987f1de12892dc680ea | [
"MIT"
] | null | null | null | python-basic-project/unit08/myfinance.py | sharebook-kr/learningspoons-bootcamp-finance | 0288f3f3b39f54420e4e9987f1de12892dc680ea | [
"MIT"
] | 7 | 2021-03-01T11:06:45.000Z | 2022-03-14T07:06:04.000Z | import requests
from bs4 import BeautifulSoup
def get_tickers(market=2):
url = f"http://comp.fnguide.com/SVO2/common/lookup_data.asp?mkt_gb={market}&comp_gb=1"
resp = requests.get(url)
data = resp.json()
codes = []
for comp in data:
code = comp['cd'][-6:]
codes.append(code)
ret... | 24.117647 | 90 | 0.603659 | 113 | 820 | 4.230089 | 0.522124 | 0.062762 | 0.100418 | 0.07113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026059 | 0.25122 | 820 | 34 | 91 | 24.117647 | 0.752443 | 0 | 0 | 0.071429 | 0 | 0.035714 | 0.19123 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.214286 | 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 |
3e5c8076b3c080597643c7f2efec1d74b5c8f190 | 1,882 | py | Python | elsie/draw.py | Kobzol/elsie | b7b784d8d04c9e0d545e18504cf4ad23b9e7e8c4 | [
"MIT"
] | null | null | null | elsie/draw.py | Kobzol/elsie | b7b784d8d04c9e0d545e18504cf4ad23b9e7e8c4 | [
"MIT"
] | null | null | null | elsie/draw.py | Kobzol/elsie | b7b784d8d04c9e0d545e18504cf4ad23b9e7e8c4 | [
"MIT"
] | null | null | null | def set_font_from_style(xml, style):
if "font" in style:
xml.set("font-family", style["font"])
if "size" in style:
xml.set("font-size", style["size"])
s = ""
if "color" in style:
s += "fill:{};".format(style["color"])
if style.get("bold", False):
s += "font-weight: b... | 26.885714 | 62 | 0.508502 | 238 | 1,882 | 3.89916 | 0.256303 | 0.071121 | 0.047414 | 0.068966 | 0.336207 | 0.299569 | 0.217672 | 0.217672 | 0.071121 | 0 | 0 | 0.000801 | 0.336344 | 1,882 | 69 | 63 | 27.275362 | 0.742194 | 0.002657 | 0 | 0.245614 | 0 | 0 | 0.148267 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035088 | false | 0 | 0 | 0 | 0.035088 | 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 |
3e5e4207adc8922463d0a98148721a7ee4e6e6eb | 1,428 | py | Python | demos/cookie-clicker/cookie-clicker.py | Coding-Kakis/Automating-Shenanigans-in-Python | c8e00231468668fbe231e0b35e32b9e99d5bd458 | [
"MIT"
] | 1 | 2021-09-11T13:05:17.000Z | 2021-09-11T13:05:17.000Z | demos/cookie-clicker/cookie-clicker.py | Coding-Kakis/Automating-Shenanigans-in-Python | c8e00231468668fbe231e0b35e32b9e99d5bd458 | [
"MIT"
] | null | null | null | demos/cookie-clicker/cookie-clicker.py | Coding-Kakis/Automating-Shenanigans-in-Python | c8e00231468668fbe231e0b35e32b9e99d5bd458 | [
"MIT"
] | null | null | null | # Cookie clicker auto-clicker
# Works for the classic version here: https://orteil.dashnet.org/experiments/cookie/
import pyautogui
def locate_cookie():
"""
Returns the locations of the Big Cookie
Does not return until the cookie is found
"""
loc = None
while loc == None:
loc = pyaut... | 19.833333 | 84 | 0.573529 | 166 | 1,428 | 4.843373 | 0.481928 | 0.049751 | 0.080846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001026 | 0.317227 | 1,428 | 71 | 85 | 20.112676 | 0.82359 | 0.219188 | 0 | 0.162162 | 0 | 0 | 0.109953 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.027027 | 0 | 0.162162 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e5e941943139ba0623e31d497e78bf7beb9106d | 1,485 | py | Python | esupa/templatetags/esupa.py | Abando/esupa | 84888ff7d7879437659fd06a8707ac033f25b8ab | [
"Apache-2.0"
] | null | null | null | esupa/templatetags/esupa.py | Abando/esupa | 84888ff7d7879437659fd06a8707ac033f25b8ab | [
"Apache-2.0"
] | 4 | 2015-11-09T02:01:15.000Z | 2016-01-20T14:51:13.000Z | esupa/templatetags/esupa.py | ekevoo/esupa | 84888ff7d7879437659fd06a8707ac033f25b8ab | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright 2015, Ekevoo.com.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in
# compliance with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 37.125 | 107 | 0.703704 | 208 | 1,485 | 4.985577 | 0.548077 | 0.057859 | 0.043394 | 0.030858 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011696 | 0.193939 | 1,485 | 39 | 108 | 38.076923 | 0.854637 | 0.400673 | 0 | 0 | 0 | 0 | 0.093714 | 0.045714 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.272727 | 0 | 0.409091 | 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 |
3e62b645957319fa784b6eef70fbe8c8812a5575 | 3,305 | py | Python | ivy/pages.py | swsch/ivy | 4932cf7541acff13815be613b0f3335b21c86670 | [
"Unlicense"
] | null | null | null | ivy/pages.py | swsch/ivy | 4932cf7541acff13815be613b0f3335b21c86670 | [
"Unlicense"
] | null | null | null | ivy/pages.py | swsch/ivy | 4932cf7541acff13815be613b0f3335b21c86670 | [
"Unlicense"
] | null | null | null | # ------------------------------------------------------------------------------
# This module renders and writes HTML pages to disk.
# ------------------------------------------------------------------------------
import re
import os
from . import site
from . import events
from . import filters
from . import utils
f... | 35.537634 | 80 | 0.579728 | 407 | 3,305 | 4.619165 | 0.29484 | 0.034043 | 0.042553 | 0.046809 | 0.106915 | 0.054255 | 0.031915 | 0 | 0 | 0 | 0 | 0.002444 | 0.257186 | 3,305 | 92 | 81 | 35.923913 | 0.76334 | 0.291074 | 0 | 0.033333 | 0 | 0 | 0.107097 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.166667 | 0 | 0.35 | 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 |
3e64ce743607e76cfc572cc4ea2cfe77fba2b173 | 5,646 | py | Python | mvyaml/mvyaml.py | gchiesa/mvyaml | 6d4c580bc596d220b45e6a6ccf9b2c3ef582f554 | [
"MIT"
] | null | null | null | mvyaml/mvyaml.py | gchiesa/mvyaml | 6d4c580bc596d220b45e6a6ccf9b2c3ef582f554 | [
"MIT"
] | null | null | null | mvyaml/mvyaml.py | gchiesa/mvyaml | 6d4c580bc596d220b45e6a6ccf9b2c3ef582f554 | [
"MIT"
] | null | null | null | """Main module."""
from copy import deepcopy
from datetime import datetime
from difflib import Differ
from io import StringIO
from typing import IO, Iterable, AnyStr
from datadiff.tools import assert_equal
from ruamel.yaml import YAML
from ruamel.yaml.comments import CommentedMap
class MVYamlVersionNotFoundException... | 32.079545 | 108 | 0.613355 | 686 | 5,646 | 4.801749 | 0.189504 | 0.051002 | 0.047359 | 0.019429 | 0.357316 | 0.346387 | 0.287189 | 0.255009 | 0.212508 | 0.212508 | 0 | 0.003248 | 0.29118 | 5,646 | 175 | 109 | 32.262857 | 0.81984 | 0.034006 | 0 | 0.3 | 0 | 0 | 0.058299 | 0 | 0 | 0 | 0 | 0 | 0.021429 | 1 | 0.128571 | false | 0.014286 | 0.092857 | 0.014286 | 0.392857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e6846fed01d2e5081085a1f9b9ca2203cbb1dad | 1,137 | py | Python | b2share/modules/deposit/search.py | hjhsalo/b2share-new | 2a2a961f7cc3a5353850e9a409fd7e879c715b0b | [
"MIT"
] | null | null | null | b2share/modules/deposit/search.py | hjhsalo/b2share-new | 2a2a961f7cc3a5353850e9a409fd7e879c715b0b | [
"MIT"
] | null | null | null | b2share/modules/deposit/search.py | hjhsalo/b2share-new | 2a2a961f7cc3a5353850e9a409fd7e879c715b0b | [
"MIT"
] | 1 | 2020-09-29T10:56:03.000Z | 2020-09-29T10:56:03.000Z |
from elasticsearch_dsl import Q, TermsFacet
from flask import has_request_context
from flask_login import current_user
from invenio_search import RecordsSearch
from invenio_search.api import DefaultFilter
from .permissions import admin_permission_factory
def deposits_filter():
"""Filter list of deposits.
... | 25.266667 | 74 | 0.664908 | 134 | 1,137 | 5.470149 | 0.537313 | 0.061392 | 0.090041 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001164 | 0.244503 | 1,137 | 45 | 75 | 25.266667 | 0.852154 | 0.277045 | 0 | 0 | 0 | 0 | 0.066581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.272727 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3e69d58aa5e27029fd5fb9a2126945c9c542b4c9 | 1,586 | py | Python | code/find_nconfsources.py | fornax-navo/fornax-demo-notebooks | 49525d5bed3440d0d1903c29b9a1af8e0ff7e975 | [
"BSD-3-Clause"
] | 1 | 2022-02-03T18:12:59.000Z | 2022-02-03T18:12:59.000Z | code/find_nconfsources.py | fornax-navo/fornax-demo-notebooks | 49525d5bed3440d0d1903c29b9a1af8e0ff7e975 | [
"BSD-3-Clause"
] | 1 | 2022-03-11T21:17:35.000Z | 2022-03-11T22:28:46.000Z | code/find_nconfsources.py | fornax-navo/fornax-demo-notebooks | 49525d5bed3440d0d1903c29b9a1af8e0ff7e975 | [
"BSD-3-Clause"
] | 2 | 2022-02-01T00:57:35.000Z | 2022-02-13T22:20:55.000Z | import numpy as np
from determine_source_type import determine_source_type
#function to figure out how many sources are in cutout
#and set up necessary tractor input for those sources
def find_nconfsources(raval, decval, gal_type, fluxval, x1, y1, cutout_width, subimage_wcs, df):
#setup to collect sources
... | 38.682927 | 111 | 0.663934 | 239 | 1,586 | 4.276151 | 0.422594 | 0.029354 | 0.074364 | 0.035225 | 0.146771 | 0.086106 | 0.056751 | 0 | 0 | 0 | 0 | 0.024958 | 0.242119 | 1,586 | 40 | 112 | 39.65 | 0.825291 | 0.283102 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |