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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e93d157cf7aab5c1bcb7bfeee8e1f4209c714ad6 | 2,862 | py | Python | recommander-lib/src/main.py | armendu/recommander-system | e2d13838237584cc5cc4de2f4ea2d63f9f3b8889 | [
"MIT"
] | 1 | 2021-04-29T04:15:13.000Z | 2021-04-29T04:15:13.000Z | recommander-lib/src/main.py | armendu/recommander-system | e2d13838237584cc5cc4de2f4ea2d63f9f3b8889 | [
"MIT"
] | null | null | null | recommander-lib/src/main.py | armendu/recommander-system | e2d13838237584cc5cc4de2f4ea2d63f9f3b8889 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Main application file
"""
__author__ = "Armend Ukehaxhaj"
__version__ = "1.0.0"
__license__ = "MIT"
from logzero import logger
import numpy as np
import pandas as pd
import csv
import pickle
from word2vec import word2vec
from preprocessor import preprocessor
import json
primary_data_filen... | 27.519231 | 74 | 0.615653 | 339 | 2,862 | 5.00885 | 0.421829 | 0.041225 | 0.030035 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014444 | 0.274284 | 2,862 | 103 | 75 | 27.786408 | 0.803081 | 0.3826 | 0 | 0 | 0 | 0 | 0.157375 | 0.070267 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.181818 | 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 |
e93dd26357433b7e319a7cf157df9046ce5be7e6 | 2,378 | py | Python | spark_auto_mapper/data_types/datetime.py | gagan-chawla/SparkAutoMapper | 7b0aca2e4bece42b3229550f3f2fcc9607f79437 | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper/data_types/datetime.py | gagan-chawla/SparkAutoMapper | 7b0aca2e4bece42b3229550f3f2fcc9607f79437 | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper/data_types/datetime.py | gagan-chawla/SparkAutoMapper | 7b0aca2e4bece42b3229550f3f2fcc9607f79437 | [
"Apache-2.0"
] | null | null | null | from typing import Optional, List
from pyspark.sql import Column, DataFrame
from pyspark.sql.functions import coalesce, to_timestamp
from spark_auto_mapper.data_types.column import AutoMapperDataTypeColumn
from spark_auto_mapper.data_types.data_type_base import AutoMapperDataTypeBase
from spark_auto_mapper.data_types... | 38.983607 | 109 | 0.670311 | 257 | 2,378 | 5.953307 | 0.287938 | 0.047059 | 0.042484 | 0.062092 | 0.236601 | 0.194771 | 0.139869 | 0.139869 | 0.139869 | 0.139869 | 0 | 0 | 0.267031 | 2,378 | 60 | 110 | 39.633333 | 0.877797 | 0.095038 | 0 | 0.195652 | 0 | 0 | 0.004261 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.173913 | 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 |
e93e898e14d862c8186e0e63f6ce2ac5ff75423c | 15,524 | py | Python | relah.py | ttwj/ReLah | 8231636d4698001dc615848096a97ebd78ae2713 | [
"WTFPL"
] | 3 | 2020-01-31T08:22:49.000Z | 2021-01-10T20:02:37.000Z | relah.py | ttwj/ReLah | 8231636d4698001dc615848096a97ebd78ae2713 | [
"WTFPL"
] | null | null | null | relah.py | ttwj/ReLah | 8231636d4698001dc615848096a97ebd78ae2713 | [
"WTFPL"
] | null | null | null | # Python implementation of DBS PayLah!
# By ttwj - 2017
import base64
import random
import string
#remember to install pycryptodome!
import datetime
from Crypto.Cipher import AES, PKCS1_v1_5
from Crypto.PublicKey import RSA
import lxml.etree, json
from lxml import html
from pprint import pprint
from io import String... | 33.67462 | 987 | 0.626578 | 1,432 | 15,524 | 6.664804 | 0.26257 | 0.038034 | 0.020432 | 0.027661 | 0.365465 | 0.328479 | 0.318944 | 0.318944 | 0.283215 | 0.272318 | 0 | 0.029111 | 0.269776 | 15,524 | 460 | 988 | 33.747826 | 0.812809 | 0.216761 | 0 | 0.426523 | 0 | 0 | 0.154793 | 0.006508 | 0 | 0 | 0 | 0.006522 | 0 | 1 | 0.071685 | false | 0.021505 | 0.100358 | 0.007168 | 0.250896 | 0.050179 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
e93fa44d8c8e89fa596f6f1e1b5862803b660a31 | 13,090 | py | Python | st_dashboard.py | amirtaghavy/TDI-capstone-RedditTalks-vs-MarketAction | 62d6b754348ed7ae5d5ef4bd31eb2553a76c8892 | [
"MIT"
] | null | null | null | st_dashboard.py | amirtaghavy/TDI-capstone-RedditTalks-vs-MarketAction | 62d6b754348ed7ae5d5ef4bd31eb2553a76c8892 | [
"MIT"
] | null | null | null | st_dashboard.py | amirtaghavy/TDI-capstone-RedditTalks-vs-MarketAction | 62d6b754348ed7ae5d5ef4bd31eb2553a76c8892 | [
"MIT"
] | null | null | null | import streamlit as st
import dill
import pandas as pd
import plotly.express as px
from datetime import date
import statsmodels
with open('compiled-sentiment-history.pkd', 'rb') as f:
df_compiled = dill.load(f)
df_compiled.drop_duplicates(inplace=True)
dates = list({idx[1] for idx in df_compiled.ind... | 55.940171 | 504 | 0.58793 | 1,563 | 13,090 | 4.87396 | 0.382598 | 0.014439 | 0.008926 | 0.007088 | 0.056183 | 0.049094 | 0.023366 | 0.023366 | 0.023366 | 0.013127 | 0 | 0.02046 | 0.3055 | 13,090 | 233 | 505 | 56.180258 | 0.815972 | 0.016501 | 0 | 0.094972 | 0 | 0.055866 | 0.505638 | 0.012942 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.03352 | 0 | 0.03352 | 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 |
3a61c5a4f7f2b0b08f169681bdd4f9538e9142c6 | 13,902 | py | Python | RocMethod.py | meiyuanqing/MetaThreshold | fbccc7e5356606b929211eedaf5371506232c1b5 | [
"MIT"
] | null | null | null | RocMethod.py | meiyuanqing/MetaThreshold | fbccc7e5356606b929211eedaf5371506232c1b5 | [
"MIT"
] | null | null | null | RocMethod.py | meiyuanqing/MetaThreshold | fbccc7e5356606b929211eedaf5371506232c1b5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding:utf-8
"""
Author : Yuanqing Mei
Date : 2021/4/8
Time: 15:42
File: RocMethod.py
HomePage : http://github.com/yuanqingmei
Email : dg1533019@smail.nju.edu.cn
This script find out the cutoff of a metric value by maximizing the AUC value and ROC、BPP、MFM、GM methods.
References:
[1] Bender,... | 47.447099 | 120 | 0.535319 | 1,634 | 13,902 | 4.29437 | 0.222154 | 0.057004 | 0.032065 | 0.008978 | 0.328203 | 0.246829 | 0.22645 | 0.191677 | 0.175004 | 0.156192 | 0 | 0.033555 | 0.361171 | 13,902 | 292 | 121 | 47.609589 | 0.756559 | 0.165588 | 0 | 0.069519 | 0 | 0 | 0.123518 | 0.030468 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010695 | false | 0 | 0.037433 | 0.005348 | 0.053476 | 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 |
3a63a86305fa3e3ced908249d69f673dd8d16d58 | 717 | py | Python | migrations/versions/2018-09-27_12:25:31__3cbc86a0a9d7.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | migrations/versions/2018-09-27_12:25:31__3cbc86a0a9d7.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | migrations/versions/2018-09-27_12:25:31__3cbc86a0a9d7.py | gems-uff/sms | 01cfa84bd467617c58f58da04711c5097dd93fe6 | [
"MIT"
] | null | null | null | """empty message
Revision ID: 3cbc86a0a9d7
Revises: 77894fcde804
Create Date: 2018-09-27 12:25:31.893545
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '3cbc86a0a9d7'
down_revision = '77894fcde804'
branch_labels = None
depends_on = None
def upgrade():
# ... | 24.724138 | 106 | 0.707113 | 89 | 717 | 5.516854 | 0.561798 | 0.05499 | 0.08554 | 0.093686 | 0.321792 | 0.321792 | 0.179226 | 0.179226 | 0 | 0 | 0 | 0.079867 | 0.161785 | 717 | 28 | 107 | 25.607143 | 0.737105 | 0.411437 | 0 | 0 | 0 | 0 | 0.288312 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 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 |
3a640b59523119016904d7053ed1bc557df19331 | 2,685 | py | Python | mp_roguelike/ai.py | nonk123/mp_roguelike | 48785b44dd3f2518a5a639a6609670408e7ea1f5 | [
"MIT"
] | null | null | null | mp_roguelike/ai.py | nonk123/mp_roguelike | 48785b44dd3f2518a5a639a6609670408e7ea1f5 | [
"MIT"
] | null | null | null | mp_roguelike/ai.py | nonk123/mp_roguelike | 48785b44dd3f2518a5a639a6609670408e7ea1f5 | [
"MIT"
] | null | null | null | import random
from .util import sign
class AI:
def __init__(self, entity):
self.entity = entity
self.queued_path = []
def think(self):
if self.queued_path:
x, y = self.queued_path.pop(0)
self.move(x - self.entity.x, y - self.entity.y)
def move(self, dx, dy... | 26.584158 | 79 | 0.582495 | 351 | 2,685 | 4.2849 | 0.213675 | 0.146277 | 0.046543 | 0.047872 | 0.234043 | 0.083777 | 0 | 0 | 0 | 0 | 0 | 0.009651 | 0.3054 | 2,685 | 100 | 80 | 26.85 | 0.796783 | 0 | 0 | 0.183099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.197183 | false | 0.014085 | 0.028169 | 0.042254 | 0.352113 | 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 |
3a66f861ec173370f50a0b31924da0bccb5e1872 | 2,661 | py | Python | romanyh/transposition.py | napulen/romanyh | 34bc75d40bf532eb20607db763fcbc2693cac35f | [
"BSD-3-Clause"
] | null | null | null | romanyh/transposition.py | napulen/romanyh | 34bc75d40bf532eb20607db763fcbc2693cac35f | [
"BSD-3-Clause"
] | 5 | 2020-12-08T04:37:21.000Z | 2021-01-06T03:36:30.000Z | romanyh/transposition.py | napulen/romanyh | 34bc75d40bf532eb20607db763fcbc2693cac35f | [
"BSD-3-Clause"
] | null | null | null | import re
import sys
from music21.interval import Interval
from music21.key import Key
def findKeysInRomanTextString(rntxt):
"""Get all the keys in a RomanText string.
Receive a string with valid RomanText content.
Output a list of all the key changes that happen
throughout the content.
"""
... | 36.452055 | 70 | 0.693724 | 329 | 2,661 | 5.586626 | 0.392097 | 0.008705 | 0.013058 | 0.010881 | 0.008705 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005822 | 0.225479 | 2,661 | 72 | 71 | 36.958333 | 0.885978 | 0.32469 | 0 | 0 | 0 | 0 | 0.02449 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.097561 | 0 | 0.243902 | 0.02439 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a67795832eb29853a6ccb60a0d65c013b0a8f82 | 4,847 | py | Python | management_api_app/tests_ma/test_service_bus/test_deployment_status_update.py | LizaShak/AzureTRE | b845eb4b73439ef7819565aaadb36f43b6484ad9 | [
"MIT"
] | 2 | 2021-11-14T16:57:16.000Z | 2022-03-13T15:14:26.000Z | management_api_app/tests_ma/test_service_bus/test_deployment_status_update.py | anatbal/AzureTRE | d1d4891657c737092e761c4aaf80b04ff0f03fc7 | [
"MIT"
] | null | null | null | management_api_app/tests_ma/test_service_bus/test_deployment_status_update.py | anatbal/AzureTRE | d1d4891657c737092e761c4aaf80b04ff0f03fc7 | [
"MIT"
] | null | null | null | import json
import pytest
import uuid
from mock import AsyncMock, patch
from db.errors import EntityDoesNotExist
from models.domain.resource import Status
from models.domain.workspace import Workspace
from models.domain.resource import Deployment
from resources import strings
from service_bus.deployment_status_update... | 41.784483 | 115 | 0.810192 | 600 | 4,847 | 6.085 | 0.183333 | 0.052041 | 0.036154 | 0.052588 | 0.657902 | 0.598466 | 0.547795 | 0.502876 | 0.490551 | 0.490551 | 0 | 0.004796 | 0.096555 | 4,847 | 115 | 116 | 42.147826 | 0.828956 | 0 | 0 | 0.37931 | 0 | 0 | 0.136786 | 0.090159 | 0 | 0 | 0 | 0 | 0.114943 | 1 | 0.034483 | false | 0 | 0.114943 | 0.022989 | 0.183908 | 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 |
3a695ae89ca40a6004f7716018ec39b583cbbbfd | 1,587 | py | Python | tests/sms/models/test_reschedule_sms_messages.py | infobip-community/infobip-api-python-sdk | 5ffc5ab877ee1748aa29391f991c8c5324387487 | [
"MIT"
] | null | null | null | tests/sms/models/test_reschedule_sms_messages.py | infobip-community/infobip-api-python-sdk | 5ffc5ab877ee1748aa29391f991c8c5324387487 | [
"MIT"
] | null | null | null | tests/sms/models/test_reschedule_sms_messages.py | infobip-community/infobip-api-python-sdk | 5ffc5ab877ee1748aa29391f991c8c5324387487 | [
"MIT"
] | null | null | null | from datetime import date, datetime, timedelta
import pytest
from pydantic.error_wrappers import ValidationError
from infobip_channels.sms.models.body.reschedule_sms_messages import (
RescheduleSMSMessagesMessageBody,
)
from infobip_channels.sms.models.query_parameters.reschedule_messages import (
RescheduleS... | 27.842105 | 83 | 0.672968 | 153 | 1,587 | 6.594771 | 0.366013 | 0.035679 | 0.043608 | 0.043608 | 0.352825 | 0.297324 | 0.176412 | 0 | 0 | 0 | 0 | 0.011551 | 0.236295 | 1,587 | 56 | 84 | 28.339286 | 0.820957 | 0 | 0 | 0.347826 | 0 | 0 | 0.084436 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.108696 | 0 | 0.195652 | 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 |
3a6a4945d24f523a66e8dd1cc3a18e4d3749558b | 5,578 | py | Python | _pkg_KuFunc/mod_SetLabel.py | tianlunjiang/_NukeStudio_v2 | 5ed9b9217aff16d903bdcda5c2f1e1cd3bebe367 | [
"CNRI-Python"
] | 6 | 2019-08-27T01:30:15.000Z | 2020-11-17T00:40:01.000Z | _pkg_KuFunc/mod_SetLabel.py | tianlunjiang/_NukeMods | 47861bfc273262abba55b9f9a61782a5d89479b1 | [
"CNRI-Python"
] | 2 | 2019-01-22T04:09:28.000Z | 2019-01-23T15:11:39.000Z | _pkg_KuFunc/mod_SetLabel.py | tianlunjiang/_NukeMods | 47861bfc273262abba55b9f9a61782a5d89479b1 | [
"CNRI-Python"
] | 1 | 2020-08-03T22:43:23.000Z | 2020-08-03T22:43:23.000Z |
# ------------------------------------------------------------------------------
# Module Import
# ------------------------------------------------------------------------------
import nuke, nukescripts
import platform
from Qt import QtWidgets, QtGui, QtCore
#------------------------------------------------... | 25.126126 | 103 | 0.573682 | 586 | 5,578 | 5.283276 | 0.389079 | 0.04199 | 0.027132 | 0.022287 | 0.076227 | 0.020672 | 0.020672 | 0.020672 | 0.020672 | 0 | 0 | 0.004557 | 0.134457 | 5,578 | 221 | 104 | 25.239819 | 0.636703 | 0.235748 | 0 | 0.052174 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069565 | false | 0 | 0.026087 | 0 | 0.121739 | 0.008696 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a6c6afbecc178b754f00e36139090ce170c777c | 780 | py | Python | imgur_stuff.py | djs2022/DataEntrySite | aac8e71fe0a8b159113b1488cbe7a8a7e641bf1d | [
"MIT"
] | null | null | null | imgur_stuff.py | djs2022/DataEntrySite | aac8e71fe0a8b159113b1488cbe7a8a7e641bf1d | [
"MIT"
] | null | null | null | imgur_stuff.py | djs2022/DataEntrySite | aac8e71fe0a8b159113b1488cbe7a8a7e641bf1d | [
"MIT"
] | null | null | null | import requests
import os
class Imgur():
client_id = None
remCredits = None
def __init__(self, clientID):
self.client_id = clientID
def uploadImage(self, file, title, description):
file.save(file.filename)
with open(file.filename, 'rb') as f:
data = f.read()
... | 27.857143 | 77 | 0.574359 | 87 | 780 | 5.068966 | 0.528736 | 0.072562 | 0.054422 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001821 | 0.296154 | 780 | 27 | 78 | 28.888889 | 0.801457 | 0 | 0 | 0 | 0 | 0 | 0.141026 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.086957 | 0 | 0.391304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a6d77c44f6c1309b10cae742c418b58169828c7 | 4,489 | py | Python | roles/tox/library/tox_parse_output.py | g-chauvel/zuul-jobs | 7ea241a626f2f2e05d4aeb8cf0328d22736b1f0f | [
"Apache-2.0"
] | null | null | null | roles/tox/library/tox_parse_output.py | g-chauvel/zuul-jobs | 7ea241a626f2f2e05d4aeb8cf0328d22736b1f0f | [
"Apache-2.0"
] | null | null | null | roles/tox/library/tox_parse_output.py | g-chauvel/zuul-jobs | 7ea241a626f2f2e05d4aeb8cf0328d22736b1f0f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2018 Red Hat
#
# This module is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This software is di... | 28.775641 | 74 | 0.642237 | 598 | 4,489 | 4.650502 | 0.366221 | 0.06904 | 0.028767 | 0.027328 | 0.221143 | 0.094211 | 0.049622 | 0.02589 | 0 | 0 | 0 | 0.007177 | 0.255068 | 4,489 | 155 | 75 | 28.96129 | 0.824462 | 0.243261 | 0 | 0.176471 | 0 | 0 | 0.168452 | 0.016667 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.039216 | 0.019608 | 0.147059 | 0.009804 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a737b4d0699668e68dfd11d0393dc995f8e0e88 | 574 | py | Python | python-code/transformer-sample/basic/sentiment_analysis.py | 87-midnight/NewbieInJava | ba84153c6b3a382e620c4df7892d653be2e1a607 | [
"MIT"
] | null | null | null | python-code/transformer-sample/basic/sentiment_analysis.py | 87-midnight/NewbieInJava | ba84153c6b3a382e620c4df7892d653be2e1a607 | [
"MIT"
] | 2 | 2019-10-22T08:21:09.000Z | 2019-10-22T08:21:09.000Z | python-code/transformer-sample/basic/sentiment_analysis.py | 87-midnight/NewbieInJava | ba84153c6b3a382e620c4df7892d653be2e1a607 | [
"MIT"
] | null | null | null | # 使用情绪分析流水线
import torch
from transformers import BertTokenizer, BertForSequenceClassification
torch.manual_seed(0)
tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
model = BertForSequenceClassification.from_pretrained("bert-base-uncased", problem_type="multi_label_classification", num_labels=2)
inputs ... | 41 | 131 | 0.801394 | 71 | 574 | 6.366197 | 0.633803 | 0.061947 | 0.079646 | 0.097345 | 0.128319 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007619 | 0.085366 | 574 | 14 | 132 | 41 | 0.853333 | 0.083624 | 0 | 0 | 0 | 0 | 0.158397 | 0.049618 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a750f402f6cc67161071bf3b54785b45c55a45d | 1,293 | py | Python | examples/tutorial/parallel_amuse_script.py | rknop/amuse | 85d5bdcc29cfc87dc69d91c264101fafd6658aec | [
"Apache-2.0"
] | 131 | 2015-06-04T09:06:57.000Z | 2022-02-01T12:11:29.000Z | examples/tutorial/parallel_amuse_script.py | rknop/amuse | 85d5bdcc29cfc87dc69d91c264101fafd6658aec | [
"Apache-2.0"
] | 690 | 2015-10-17T12:18:08.000Z | 2022-03-31T16:15:58.000Z | examples/tutorial/parallel_amuse_script.py | rieder/amuse | 3ac3b6b8f922643657279ddee5c8ab3fc0440d5e | [
"Apache-2.0"
] | 102 | 2015-01-22T10:00:29.000Z | 2022-02-09T13:29:43.000Z | import time
import numpy
from amuse.lab import Huayno
from amuse.lab import Hermite
from amuse.lab import nbody_system
from amuse.lab import new_king_model
from matplotlib import pyplot
def gravity_minimal(bodies, t_end, nproc):
gravity = Hermite(number_of_workers=nproc)
gravity.particles.add_particles(bodies... | 25.352941 | 71 | 0.664346 | 183 | 1,293 | 4.480874 | 0.42623 | 0.043902 | 0.058537 | 0.087805 | 0.058537 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014778 | 0.215004 | 1,293 | 50 | 72 | 25.86 | 0.793103 | 0 | 0 | 0 | 0 | 0 | 0.076625 | 0.03096 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.179487 | 0 | 0.230769 | 0.102564 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a75e62e27fdd3a634c7ec673852b4fb62407232 | 311 | py | Python | modules/random_cat.py | ChaseBosman/chatbot | a39e655e6d586fa596471cd20617dff5f9795a96 | [
"Unlicense"
] | 3 | 2019-10-19T12:07:06.000Z | 2020-10-05T17:24:56.000Z | modules/random_cat.py | ChaseBosman/chatbot | a39e655e6d586fa596471cd20617dff5f9795a96 | [
"Unlicense"
] | 17 | 2019-10-05T12:30:17.000Z | 2021-07-25T20:06:33.000Z | modules/random_cat.py | ChaseBosman/chatbot | a39e655e6d586fa596471cd20617dff5f9795a96 | [
"Unlicense"
] | 26 | 2018-10-19T05:43:12.000Z | 2020-10-02T05:27:48.000Z | import requests
import json
def random_cat_pic():
try:
url = 'http://aws.random.cat/meow'
response = requests.get(url)
response_json = json.loads(response.text)
return "Here's a super cute cat pic: " + response_json.get('file')
except:
return "Error meow"
| 25.916667 | 74 | 0.614148 | 41 | 311 | 4.560976 | 0.609756 | 0.096257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.273312 | 311 | 12 | 75 | 25.916667 | 0.827434 | 0 | 0 | 0 | 0 | 0 | 0.221154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 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 |
3a79851a367aea689a1293265d02727ae30bb330 | 7,877 | py | Python | cvstudio/view/widgets/common/treeview_model.py | haruiz/PytorchCvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 32 | 2019-10-31T03:10:52.000Z | 2020-12-23T11:50:53.000Z | cvstudio/view/widgets/common/treeview_model.py | haruiz/CvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 19 | 2019-10-31T15:06:05.000Z | 2020-06-15T02:21:55.000Z | cvstudio/view/widgets/common/treeview_model.py | haruiz/PytorchCvStudio | ccf79dd0cc0d61f3fd01b1b5d96f7cda7b681eef | [
"MIT"
] | 8 | 2019-10-31T03:32:50.000Z | 2020-07-17T20:47:37.000Z | import itertools
import typing
from typing import Any
from PyQt5 import QtCore
from PyQt5.QtCore import QModelIndex, pyqtSignal, QObject
from PyQt5.QtGui import QColor
from PyQt5.QtWidgets import QAbstractItemDelegate, QWidget, QStyleOptionViewItem, QSpinBox
class CustomNode(object):
def __init__(self, data=None... | 30.296154 | 116 | 0.612416 | 873 | 7,877 | 5.390607 | 0.142039 | 0.029749 | 0.029749 | 0.008925 | 0.142371 | 0.036124 | 0.036124 | 0.036124 | 0.021249 | 0 | 0 | 0.005026 | 0.292751 | 7,877 | 259 | 117 | 30.413127 | 0.839706 | 0.02501 | 0 | 0.185366 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.195122 | false | 0 | 0.034146 | 0.053659 | 0.453659 | 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 |
3a7bafa3c7ab3354d60a1fcd0376c7ade47cb21d | 707 | py | Python | evtx_to_dataframe.py | esua/evtx_to_dataframe | 390bf470e92092e66827373ed7e8b012a4fe94f6 | [
"Apache-2.0"
] | null | null | null | evtx_to_dataframe.py | esua/evtx_to_dataframe | 390bf470e92092e66827373ed7e8b012a4fe94f6 | [
"Apache-2.0"
] | null | null | null | evtx_to_dataframe.py | esua/evtx_to_dataframe | 390bf470e92092e66827373ed7e8b012a4fe94f6 | [
"Apache-2.0"
] | null | null | null | import argparse
import Evtx.Evtx as evtx
import pandas as pd
import xmltodict
import re
parser = argparse.ArgumentParser(description="Convert Windows EVTX event log file to DataFrame.")
parser.add_argument("evtx", type=str, help="Path to the Windows EVTX event log file")
args = parser.parse_args()
with evtx.Evtx(args... | 33.666667 | 110 | 0.693069 | 106 | 707 | 4.54717 | 0.481132 | 0.056017 | 0.06639 | 0.078838 | 0.095436 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005164 | 0.178218 | 707 | 20 | 111 | 35.35 | 0.824441 | 0.110325 | 0 | 0 | 0 | 0 | 0.2112 | 0.0368 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.294118 | 0 | 0.294118 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a7c85d6a1879df3d91cd853104103d5c1ce8afa | 1,553 | py | Python | paprotka/feature/cepstral.py | michalsosn/paprotka | d6079eefbade2cb8be5896777a7d50ac968d42ec | [
"MIT"
] | 1 | 2019-10-29T04:14:40.000Z | 2019-10-29T04:14:40.000Z | paprotka/feature/cepstral.py | michalsosn/paprotka | d6079eefbade2cb8be5896777a7d50ac968d42ec | [
"MIT"
] | null | null | null | paprotka/feature/cepstral.py | michalsosn/paprotka | d6079eefbade2cb8be5896777a7d50ac968d42ec | [
"MIT"
] | null | null | null | import math
import numpy as np
from scipy import signal, fftpack
def pre_emphasize(data, pre_emphasis=0.97):
return np.append(data[0], data[1:] - pre_emphasis * data[:-1])
def hz_to_mel(hz):
return 2595 * math.log10(1 + hz / 700)
def mel_to_hz(mel):
return 700 * (10 ** (mel / 2595) - 1)
def make_mel... | 33.042553 | 90 | 0.675467 | 241 | 1,553 | 4.157676 | 0.3361 | 0.053892 | 0.02994 | 0.01996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037391 | 0.190599 | 1,553 | 46 | 91 | 33.76087 | 0.759745 | 0 | 0 | 0 | 0 | 0 | 0.00322 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0.090909 | 0.484848 | 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 |
3a7d8a539d82fbecac85da845cd748fe400b1a12 | 2,688 | py | Python | arelle/plugin/unpackSecEisFile.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 292 | 2015-01-27T03:31:51.000Z | 2022-03-26T07:00:05.000Z | arelle/plugin/unpackSecEisFile.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 94 | 2015-04-18T23:03:00.000Z | 2022-03-28T17:24:55.000Z | arelle/plugin/unpackSecEisFile.py | DataFinnovation/Arelle | d4bf45f56fc9249f75ab22e6217dbe55f0510841 | [
"Apache-2.0"
] | 200 | 2015-01-13T03:55:47.000Z | 2022-03-29T12:38:56.000Z | '''
Unpack SEC EIS File is an example of a plug-in to the GUI menu
that will save the unpacked contents of an SEC EIS File in a directory.
(c) Copyright 2012 Mark V Systems Limited, All rights reserved.
'''
def unpackEIS(cntlr, eisFile, unpackToDir):
from arelle.FileSource import openFileSource
filesource = ... | 43.354839 | 134 | 0.604911 | 277 | 2,688 | 5.841155 | 0.436823 | 0.038937 | 0.037083 | 0.029666 | 0.088999 | 0.088999 | 0.061805 | 0.061805 | 0.061805 | 0.061805 | 0 | 0.006253 | 0.286086 | 2,688 | 61 | 135 | 44.065574 | 0.836894 | 0.087798 | 0 | 0.041667 | 0 | 0 | 0.244272 | 0.009411 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.083333 | 0 | 0.1875 | 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 |
3a7e02c43c6ebf2859a5eb96f826707b1b0a7b33 | 2,251 | py | Python | fpcalc.py | johnlawsharrison/pyacoustid | 55321b316f09e782a1c0914826419be799908e01 | [
"MIT"
] | 203 | 2016-01-18T14:05:49.000Z | 2022-03-25T04:04:42.000Z | fpcalc.py | johnlawsharrison/pyacoustid | 55321b316f09e782a1c0914826419be799908e01 | [
"MIT"
] | 41 | 2016-03-08T10:28:14.000Z | 2021-11-26T20:53:15.000Z | fpcalc.py | johnlawsharrison/pyacoustid | 55321b316f09e782a1c0914826419be799908e01 | [
"MIT"
] | 56 | 2016-01-09T04:22:40.000Z | 2022-01-29T16:01:39.000Z | #!/usr/bin/env python
# This file is part of pyacoustid.
# Copyright 2012, Lukas Lalinsky.
#
# 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 limitati... | 34.106061 | 77 | 0.660595 | 284 | 2,251 | 5.126761 | 0.521127 | 0.037775 | 0.032967 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007701 | 0.250111 | 2,251 | 65 | 78 | 34.630769 | 0.854858 | 0.356286 | 0 | 0 | 0 | 0 | 0.195941 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.189189 | 0 | 0.216216 | 0.324324 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a7ec9858eb7869bba6e4129ded3a123b302b0e2 | 3,071 | py | Python | Learning/button groups.py | atharva0300/PyQt5-Practice | 0feacca6518190646a345ce2ea75e071e7861ac5 | [
"MIT"
] | null | null | null | Learning/button groups.py | atharva0300/PyQt5-Practice | 0feacca6518190646a345ce2ea75e071e7861ac5 | [
"MIT"
] | null | null | null | Learning/button groups.py | atharva0300/PyQt5-Practice | 0feacca6518190646a345ce2ea75e071e7861ac5 | [
"MIT"
] | 1 | 2021-11-16T10:18:07.000Z | 2021-11-16T10:18:07.000Z | # Button Groups in Python
import PyQt5
from PyQt5.QtWidgets import QApplication, QHBoxLayout, QLabel, QButtonGroup, QMainWindow, QDialog, QPushButton, QVBoxLayout
import sys
from PyQt5 import QtGui
from PyQt5.QtGui import QFont, QPixmap
from PyQt5.QtCore import QSize
class window(QDialog):
def __init__(... | 28.700935 | 124 | 0.581895 | 342 | 3,071 | 5.169591 | 0.318713 | 0.049774 | 0.05543 | 0.047511 | 0.210407 | 0.210407 | 0.210407 | 0.210407 | 0.210407 | 0.210407 | 0 | 0.026353 | 0.308043 | 3,071 | 106 | 125 | 28.971698 | 0.805647 | 0.182677 | 0 | 0 | 0 | 0 | 0.058452 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0 | 0.115385 | 0 | 0.192308 | 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 |
3a7f65074a8ce42ce2f4be7f8b8b5034567b834f | 20,126 | py | Python | ct-tests/lib/crus_integration_test.py | Cray-HPE/cray-crus | 6643aa3eb3debe5cbe0088f6a30b7e56ca1b1f17 | [
"MIT"
] | null | null | null | ct-tests/lib/crus_integration_test.py | Cray-HPE/cray-crus | 6643aa3eb3debe5cbe0088f6a30b7e56ca1b1f17 | [
"MIT"
] | 1 | 2022-03-02T21:06:21.000Z | 2022-03-04T17:32:14.000Z | ct-tests/lib/crus_integration_test.py | Cray-HPE/cray-crus | 6643aa3eb3debe5cbe0088f6a30b7e56ca1b1f17 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# MIT License
#
# (C) Copyright 2020-2022 Hewlett Packard Enterprise Development LP
#
# 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 w... | 45.226966 | 138 | 0.673507 | 2,686 | 20,126 | 4.741996 | 0.155622 | 0.071681 | 0.014132 | 0.018843 | 0.358719 | 0.284761 | 0.23153 | 0.221245 | 0.188349 | 0.165659 | 0 | 0.007099 | 0.223045 | 20,126 | 445 | 139 | 45.226966 | 0.807444 | 0.267862 | 0 | 0.168724 | 0 | 0 | 0.152437 | 0.009748 | 0 | 0 | 0 | 0 | 0 | 1 | 0.024691 | false | 0.004115 | 0.065844 | 0 | 0.098765 | 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 |
3a80351f1ae9d22c12f2dfa0609670916e8b44d0 | 3,071 | py | Python | backend/transaction/models.py | elielagmay/react-budgeteer | 49a25dbd6dd6ea5d8bc93421eefbc12808f585af | [
"Unlicense"
] | 2 | 2018-10-23T00:40:53.000Z | 2021-05-31T08:19:40.000Z | backend/transaction/models.py | elielagmay/react-budgeteer | 49a25dbd6dd6ea5d8bc93421eefbc12808f585af | [
"Unlicense"
] | null | null | null | backend/transaction/models.py | elielagmay/react-budgeteer | 49a25dbd6dd6ea5d8bc93421eefbc12808f585af | [
"Unlicense"
] | null | null | null | from decimal import Decimal
from django.core.exceptions import ValidationError
from django.db import models
from app.utils import get_balances
class Transaction(models.Model):
ledger = models.ForeignKey(
'ledger.Ledger',
on_delete=models.PROTECT,
related_name='transactions'
)
date ... | 29.528846 | 75 | 0.626506 | 345 | 3,071 | 5.466667 | 0.301449 | 0.033404 | 0.037116 | 0.044539 | 0.177625 | 0.112937 | 0.09597 | 0.033934 | 0.033934 | 0 | 0 | 0.003557 | 0.267665 | 3,071 | 103 | 76 | 29.815534 | 0.835038 | 0 | 0 | 0.156627 | 0 | 0 | 0.114295 | 0.007489 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072289 | false | 0 | 0.048193 | 0.036145 | 0.361446 | 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 |
3a804a776b085e92ef90bbf2391ea52e871ea437 | 2,335 | py | Python | src/games/textquiz.py | aleksandrgordienko/melissa-quiz | 49b165acc9aae0ad84cf751cbeb4f6a27dd5ab0f | [
"MIT"
] | null | null | null | src/games/textquiz.py | aleksandrgordienko/melissa-quiz | 49b165acc9aae0ad84cf751cbeb4f6a27dd5ab0f | [
"MIT"
] | null | null | null | src/games/textquiz.py | aleksandrgordienko/melissa-quiz | 49b165acc9aae0ad84cf751cbeb4f6a27dd5ab0f | [
"MIT"
] | null | null | null | # python-telegram-quiz
# @author: Aleksandr Gordienko
# @site: https://github.com/aleksandrgordienko/melissa-quiz
from random import randint
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Question(Base):
__tablename__ = 'qu... | 33.357143 | 81 | 0.621842 | 268 | 2,335 | 5.175373 | 0.279851 | 0.129777 | 0.075703 | 0.06633 | 0.227109 | 0.062004 | 0.062004 | 0.062004 | 0 | 0 | 0 | 0.005332 | 0.277088 | 2,335 | 69 | 82 | 33.84058 | 0.816351 | 0.089079 | 0 | 0.041667 | 0 | 0 | 0.034139 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145833 | false | 0 | 0.0625 | 0.0625 | 0.479167 | 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 |
3a818c77d8d52a71bd103be2681594c2e4e919a8 | 1,246 | py | Python | Automate the Boring Stuff with Python/readDocx.py | m-barnes/Python | 0940d5f9b832c28703a32691db287b1361ce6ecc | [
"MIT"
] | null | null | null | Automate the Boring Stuff with Python/readDocx.py | m-barnes/Python | 0940d5f9b832c28703a32691db287b1361ce6ecc | [
"MIT"
] | null | null | null | Automate the Boring Stuff with Python/readDocx.py | m-barnes/Python | 0940d5f9b832c28703a32691db287b1361ce6ecc | [
"MIT"
] | null | null | null | import docx
import time
import os
from os import system
from pprint import pprint
finished = False
def getText(filename):
print(filename)
doc = docx.Document(filename)
fullText = []
for para in doc.paragraphs:
fullText.append(para.text)
pprint(fullText)
def clear():
try:
system('cls')
except:
system('... | 20.766667 | 139 | 0.652488 | 170 | 1,246 | 4.782353 | 0.452941 | 0.03321 | 0.0369 | 0.054121 | 0.145141 | 0.083641 | 0.083641 | 0 | 0 | 0 | 0 | 0.004103 | 0.217496 | 1,246 | 59 | 140 | 21.118644 | 0.829744 | 0 | 0 | 0.3125 | 0 | 0.020833 | 0.298795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.104167 | 0 | 0.166667 | 0.145833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a862072dc82d94cea5c675c09cf65fbf2cd377c | 4,510 | py | Python | concord/ext/audio/middleware.py | nariman/concord-ext-audio | c7662507f641bfdba277509838433dbb24fe11a3 | [
"MIT"
] | null | null | null | concord/ext/audio/middleware.py | nariman/concord-ext-audio | c7662507f641bfdba277509838433dbb24fe11a3 | [
"MIT"
] | 14 | 2019-02-19T03:14:07.000Z | 2021-06-25T15:15:55.000Z | concord/ext/audio/middleware.py | narimanized/concord-ext-audio | c7662507f641bfdba277509838433dbb24fe11a3 | [
"MIT"
] | null | null | null | """
The MIT License (MIT)
Copyright (c) 2017-2018 Nariman Safiulin
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, modif... | 34.166667 | 80 | 0.645455 | 559 | 4,510 | 5.146691 | 0.334526 | 0.049705 | 0.050052 | 0.015641 | 0.293361 | 0.280153 | 0.271811 | 0.271811 | 0.231144 | 0.231144 | 0 | 0.005255 | 0.282705 | 4,510 | 131 | 81 | 34.427481 | 0.88408 | 0.311308 | 0 | 0.467532 | 0 | 0 | 0.124349 | 0.008789 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.077922 | 0 | 0.220779 | 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 |
3a866ce737d90dd7710156bcd56f1d122772201c | 28,704 | py | Python | tf_rl/common/utils.py | Rowing0914/TF_RL | 68e5e9a23e38ed2d8ac5f97d380567b919a3d2e7 | [
"MIT"
] | 23 | 2019-04-04T17:34:56.000Z | 2021-12-14T19:34:10.000Z | tf_rl/common/utils.py | Rowing0914/TF_RL | 68e5e9a23e38ed2d8ac5f97d380567b919a3d2e7 | [
"MIT"
] | null | null | null | tf_rl/common/utils.py | Rowing0914/TF_RL | 68e5e9a23e38ed2d8ac5f97d380567b919a3d2e7 | [
"MIT"
] | 3 | 2019-07-17T23:56:36.000Z | 2022-03-13T03:55:21.000Z | import tensorflow as tf
import numpy as np
import os, datetime, itertools, shutil, gym, sys
from tf_rl.common.visualise import plot_Q_values
from tf_rl.common.wrappers import MyWrapper, CartPole_Pixel, wrap_deepmind, make_atari
"""
TF basic Utility functions
"""
def eager_setup():
"""
it eables an eager ex... | 35.745953 | 162 | 0.610089 | 3,705 | 28,704 | 4.561943 | 0.182996 | 0.010413 | 0.006508 | 0.009466 | 0.346527 | 0.31375 | 0.284996 | 0.252515 | 0.232931 | 0.206662 | 0 | 0.023698 | 0.264946 | 28,704 | 802 | 163 | 35.790524 | 0.777383 | 0.223 | 0 | 0.316425 | 0 | 0.002415 | 0.094276 | 0.015517 | 0 | 0 | 0 | 0.001247 | 0.012077 | 1 | 0.111111 | false | 0 | 0.014493 | 0.002415 | 0.219807 | 0.074879 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a8780a44ac5da348e337c07269fb06faa67e8cd | 2,284 | py | Python | common/serializers.py | kollad/turbo-ninja | 9c3f66b2af64aec01f522d19b309cfdd723e67cf | [
"MIT"
] | null | null | null | common/serializers.py | kollad/turbo-ninja | 9c3f66b2af64aec01f522d19b309cfdd723e67cf | [
"MIT"
] | 1 | 2017-12-14T05:35:38.000Z | 2017-12-14T05:35:38.000Z | common/serializers.py | kollad/turbo-ninja | 9c3f66b2af64aec01f522d19b309cfdd723e67cf | [
"MIT"
] | null | null | null | from collections import namedtuple, OrderedDict
import json
__author__ = 'kollad'
def isnamedtuple(obj):
"""Heuristic check if an object is a namedtuple."""
return isinstance(obj, tuple) \
and hasattr(obj, "_fields") \
and hasattr(obj, "_asdict") \
and callable(obj._asdict)
... | 34.606061 | 83 | 0.609019 | 300 | 2,284 | 4.576667 | 0.223333 | 0.03496 | 0.06992 | 0.058267 | 0.182811 | 0.162418 | 0.162418 | 0.162418 | 0.162418 | 0.055353 | 0 | 0 | 0.24387 | 2,284 | 66 | 84 | 34.606061 | 0.79502 | 0.019702 | 0 | 0 | 0 | 0 | 0.164279 | 0.068487 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0.037037 | 0.037037 | 0.481481 | 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 |
3a8812b8a7ce8889a96abd8e38c4d8b8f1956ab6 | 1,079 | py | Python | setup.py | mjw99/Musketeer | 0299a7974ad90c09d8d9206fcf862e45f9fddf30 | [
"MIT"
] | null | null | null | setup.py | mjw99/Musketeer | 0299a7974ad90c09d8d9206fcf862e45f9fddf30 | [
"MIT"
] | null | null | null | setup.py | mjw99/Musketeer | 0299a7974ad90c09d8d9206fcf862e45f9fddf30 | [
"MIT"
] | null | null | null | import setuptools
with open("README.md") as readmeFile:
long_description = readmeFile.read()
setuptools.setup(
name="musketeer",
version="0.0.1",
author="Daniil Soloviev",
author_email="dos23@cam.ac.uk",
description="A tool for fitting data from titration experiments.",
long_description=lo... | 29.162162 | 70 | 0.624652 | 105 | 1,079 | 6.304762 | 0.780952 | 0.090634 | 0.057402 | 0.090634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009697 | 0.235403 | 1,079 | 36 | 71 | 29.972222 | 0.792727 | 0 | 0 | 0.058824 | 0 | 0 | 0.448563 | 0.020389 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.029412 | 0 | 0.029412 | 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 |
3a89f586494444a77daa3b34a1bc45b72a73f85e | 16,338 | py | Python | EvolutiveStrategies.py | ignacioct/GeneticAlgorithms | 6a92c3d5ec6f2796333576d93c3b6b421055b7a4 | [
"MIT"
] | 4 | 2020-11-26T16:18:23.000Z | 2021-06-28T08:43:35.000Z | EvolutiveStrategies.py | ignacioct/GeneticAlgorithms | 6a92c3d5ec6f2796333576d93c3b6b421055b7a4 | [
"MIT"
] | null | null | null | EvolutiveStrategies.py | ignacioct/GeneticAlgorithms | 6a92c3d5ec6f2796333576d93c3b6b421055b7a4 | [
"MIT"
] | null | null | null | import copy
import math
import operator
import random
import sys
from concurrent import futures
import numpy as np
import requests
class FitnessFunctionCaller:
"""Class for returning the fitness function of an individual."""
def __init__(self, *args):
functional_parts = []
# Full case with ... | 35.135484 | 144 | 0.580487 | 1,786 | 16,338 | 5.241881 | 0.18813 | 0.038453 | 0.024033 | 0.01175 | 0.280282 | 0.219077 | 0.195898 | 0.16834 | 0.117924 | 0.114505 | 0 | 0.015206 | 0.335843 | 16,338 | 464 | 145 | 35.211207 | 0.847572 | 0.222487 | 0 | 0.316667 | 0 | 0 | 0.024711 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063333 | false | 0 | 0.026667 | 0 | 0.136667 | 0.02 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a8ac6ed77639549d9368218a7f979d0a6bcc7b7 | 1,638 | py | Python | src/arago/hiro/client/exception.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | src/arago/hiro/client/exception.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | src/arago/hiro/client/exception.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | from typing import Mapping, Any, List
class HiroClientError(Exception):
def __init__(self, *args: object) -> None:
super().__init__(*args)
class OntologyValidatorError(HiroClientError):
message: str
warnings: List[str]
errors: List[str]
def __init__(self, data: Mapping[str, Any]) -> Non... | 27.762712 | 96 | 0.525031 | 155 | 1,638 | 5.380645 | 0.277419 | 0.029976 | 0.039568 | 0.047962 | 0.199041 | 0.199041 | 0.11271 | 0.11271 | 0.11271 | 0.11271 | 0 | 0 | 0.357753 | 1,638 | 58 | 97 | 28.241379 | 0.792776 | 0.139805 | 0 | 0.352941 | 0 | 0 | 0.080946 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.029412 | 0 | 0.470588 | 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 |
3a8cac712e69f85d4085b70791e0d285fbcb5630 | 2,507 | py | Python | BabysFirstNeuralNetwork/ToyNN.py | dwpicott/BasicNeuralNetwork | ad4f5878098e5ad167ee2280f5b9b03af02dfa27 | [
"MIT"
] | null | null | null | BabysFirstNeuralNetwork/ToyNN.py | dwpicott/BasicNeuralNetwork | ad4f5878098e5ad167ee2280f5b9b03af02dfa27 | [
"MIT"
] | null | null | null | BabysFirstNeuralNetwork/ToyNN.py | dwpicott/BasicNeuralNetwork | ad4f5878098e5ad167ee2280f5b9b03af02dfa27 | [
"MIT"
] | null | null | null | '''
Basic Python tutorial neural network.
Based on "A Neural Network in 11 Lines of Python" by i am trask
https://iamtrask.github.io/2015/07/12/basic-python-network/
'''
import numpy as np
class ToyNN(object):
'''
Simple two-layer toy neural network
'''
def __init__(self, inputs=3, outputs=1):
... | 27.25 | 83 | 0.59274 | 315 | 2,507 | 4.704762 | 0.365079 | 0.009447 | 0.021592 | 0.024292 | 0.029015 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037264 | 0.282808 | 2,507 | 92 | 84 | 27.25 | 0.786986 | 0.285201 | 0 | 0.088889 | 0 | 0 | 0.138049 | 0.019395 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.022222 | 0.066667 | 0.222222 | 0.333333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a8dcfa7190ecc79bdaa94535eba0d246aff05b9 | 1,122 | py | Python | gaphor/UML/deployments/tests/test_connector.py | MartinIIOT/gaphor | b08bf6ddb8c92ec87fccabc2ddee697609f73e67 | [
"Apache-2.0"
] | null | null | null | gaphor/UML/deployments/tests/test_connector.py | MartinIIOT/gaphor | b08bf6ddb8c92ec87fccabc2ddee697609f73e67 | [
"Apache-2.0"
] | null | null | null | gaphor/UML/deployments/tests/test_connector.py | MartinIIOT/gaphor | b08bf6ddb8c92ec87fccabc2ddee697609f73e67 | [
"Apache-2.0"
] | null | null | null | import pytest
from gaphor import UML
from gaphor.core.modeling import Diagram
from gaphor.core.modeling.modelinglanguage import (
CoreModelingLanguage,
MockModelingLanguage,
)
from gaphor.SysML.modelinglanguage import SysMLModelingLanguage
from gaphor.UML.deployments.connector import ConnectorItem
from gaphor.... | 27.365854 | 78 | 0.762923 | 121 | 1,122 | 7.016529 | 0.38843 | 0.070671 | 0.03298 | 0.051826 | 0.08245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15508 | 1,122 | 40 | 79 | 28.05 | 0.89557 | 0.060606 | 0 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.107143 | false | 0 | 0.25 | 0.035714 | 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 |
3a8f0982e03b38e05aa03eb45840308eeb8e3dc5 | 3,730 | py | Python | py_ti/helper_loops.py | tlpcap/tlp_ti | 8d72b316b332fd5e20785dbf19401883958c0666 | [
"MIT"
] | 7 | 2021-01-31T19:23:07.000Z | 2022-03-10T21:22:41.000Z | py_ti/helper_loops.py | tlpcap/tlp_ti | 8d72b316b332fd5e20785dbf19401883958c0666 | [
"MIT"
] | null | null | null | py_ti/helper_loops.py | tlpcap/tlp_ti | 8d72b316b332fd5e20785dbf19401883958c0666 | [
"MIT"
] | null | null | null | import numpy as np
from numba import jit
@jit
def wilders_loop(data, n):
"""
Wilder's Moving Average Helper Loop
Jit used to improve performance
"""
for i in range(n, len(data)):
data[i] = (data[i-1] * (n-1) + data[i]) / n
return data
@jit
def kama_loop(data, sc, n_er, length):
... | 24.866667 | 77 | 0.507507 | 554 | 3,730 | 3.297834 | 0.146209 | 0.029557 | 0.048166 | 0.032841 | 0.485495 | 0.448823 | 0.296661 | 0.253968 | 0.253968 | 0.125889 | 0 | 0.020228 | 0.363807 | 3,730 | 149 | 78 | 25.033557 | 0.749684 | 0.107775 | 0 | 0.308511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053191 | false | 0 | 0.021277 | 0 | 0.12766 | 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 |
3a9084ba87c0f5c49b0d1b1f5827e460b297b88e | 3,991 | py | Python | src/app.py | eug/cron-rest | 2d0a2e0d0cf0cb464b71293802b85ac7076f9944 | [
"MIT"
] | 3 | 2021-05-10T13:42:59.000Z | 2022-03-28T02:07:23.000Z | src/app.py | eug/cron-rest | 2d0a2e0d0cf0cb464b71293802b85ac7076f9944 | [
"MIT"
] | null | null | null | src/app.py | eug/cron-rest | 2d0a2e0d0cf0cb464b71293802b85ac7076f9944 | [
"MIT"
] | 4 | 2018-05-12T13:43:00.000Z | 2021-10-30T01:23:00.000Z | # -*- coding: utf-8 -*-
import json
import os
from crontab import CronTab
from flask import Flask, request
from pathlib import Path
from pretty_cron import prettify_cron
app = Flask(__name__)
@app.route('/', methods=['GET'])
def home():
return Path(app.root_path + '/index.html').read_text()
@app.route('/create'... | 26.256579 | 76 | 0.540466 | 435 | 3,991 | 4.850575 | 0.2 | 0.066351 | 0.07109 | 0.099526 | 0.56872 | 0.474882 | 0.43981 | 0.424171 | 0.424171 | 0.293365 | 0 | 0.00182 | 0.311701 | 3,991 | 151 | 77 | 26.430464 | 0.766291 | 0.005262 | 0 | 0.528 | 0 | 0 | 0.180444 | 0.017893 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.048 | 0.008 | 0.176 | 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 |
3a90d1f158c36003df58478dbdda2afff682b6b2 | 1,196 | py | Python | 2017/examples/05_randomization.py | limunan/stanford-tensorflow-tutorials | 51e53daaa2a32cfe7a1966f060b28dbbd081791c | [
"MIT"
] | 9,180 | 2017-07-27T23:43:41.000Z | 2022-03-29T17:10:14.000Z | 2017/examples/05_randomization.py | Nianze/stanford-tensorflow-tutorials | 51e53daaa2a32cfe7a1966f060b28dbbd081791c | [
"MIT"
] | 86 | 2017-08-04T12:38:38.000Z | 2020-12-09T03:34:02.000Z | 2017/examples/05_randomization.py | joshosu/stanford-tensorflow-tutorials | b16899102bf07964a15494452a2e91c1b9f88e46 | [
"MIT"
] | 4,115 | 2017-07-28T06:53:12.000Z | 2022-03-23T12:36:55.000Z | """ Examples to demonstrate ops level randomization
Author: Chip Huyen
Prepared for the class CS 20SI: "TensorFlow for Deep Learning Research"
cs20si.stanford.edu
"""
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
import tensorflow as tf
# Example 1: session is the thing that keeps track of random state
c = tf.rand... | 27.813953 | 74 | 0.664716 | 203 | 1,196 | 3.857143 | 0.35468 | 0.091954 | 0.122605 | 0.130268 | 0.444444 | 0.444444 | 0.392082 | 0.392082 | 0.360153 | 0.319285 | 0 | 0.08731 | 0.176421 | 1,196 | 43 | 75 | 27.813953 | 0.707614 | 0.413043 | 0 | 0.695652 | 0 | 0 | 0.030702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.086957 | 0 | 0.086957 | 0.347826 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a91c8f71ed1bbfb503d86a5235097fd88dfae4a | 5,651 | py | Python | python-CSDN博客爬虫/CSDN_article/utils/myutils.py | wangchuanli001/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 12 | 2019-12-07T01:44:55.000Z | 2022-01-27T14:13:30.000Z | python-CSDN博客爬虫/CSDN_article/utils/myutils.py | hujiese/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 23 | 2020-05-23T03:56:33.000Z | 2022-02-28T07:54:45.000Z | python-CSDN博客爬虫/CSDN_article/utils/myutils.py | hujiese/Project-experience | b563c5c3afc07c913c2e1fd25dff41c70533f8de | [
"Apache-2.0"
] | 7 | 2019-12-20T04:48:56.000Z | 2021-11-19T02:23:45.000Z | # -*- coding: utf-8 -*-
'''
通用工具类
'''
import time
import MySQLdb
import jieba
import ast
import random, sys
# 日志类
import requests
sys.setrecursionlimit(1000000)
class Logger(object):
def __init__(self, filename='default.log', stream=sys.stdout):
self.terminal = stream
self.log = open(filename, ... | 33.838323 | 121 | 0.599186 | 865 | 5,651 | 3.880925 | 0.294798 | 0.053619 | 0.048257 | 0.066726 | 0.361632 | 0.342568 | 0.297289 | 0.267501 | 0.221329 | 0.184391 | 0 | 0.15956 | 0.228101 | 5,651 | 166 | 122 | 34.042169 | 0.610041 | 0.087064 | 0 | 0.072072 | 0 | 0.198198 | 0.307815 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063063 | false | 0.036036 | 0.054054 | 0 | 0.162162 | 0.045045 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a96f177bdadd6a1d79e415e623de1950e19535a | 17,315 | py | Python | build/fbcode_builder/getdeps/cargo.py | dmitryvinn/watchman | 668d3536031acd9b65950c29d6e956bb42b972bb | [
"MIT"
] | null | null | null | build/fbcode_builder/getdeps/cargo.py | dmitryvinn/watchman | 668d3536031acd9b65950c29d6e956bb42b972bb | [
"MIT"
] | null | null | null | build/fbcode_builder/getdeps/cargo.py | dmitryvinn/watchman | 668d3536031acd9b65950c29d6e956bb42b972bb | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import re
import shutil
from .builder import BuilderBase
class CargoBuilder(BuilderBase):
def __init... | 40.081019 | 119 | 0.551372 | 2,068 | 17,315 | 4.355899 | 0.185203 | 0.018317 | 0.019538 | 0.015098 | 0.264987 | 0.200599 | 0.161523 | 0.107682 | 0.087589 | 0.080484 | 0 | 0.001265 | 0.360785 | 17,315 | 431 | 120 | 40.174014 | 0.812613 | 0.165348 | 0 | 0.161184 | 0 | 0.009868 | 0.09808 | 0.019129 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055921 | false | 0.003289 | 0.019737 | 0.009868 | 0.121711 | 0.019737 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a98425fabf2f4efae0310710f9d76f3fbba768a | 3,995 | py | Python | donn/layers.py | sharan-amutharasu/DONN | c14557e8ef57f3e1c1b73c1fa98cb6ba19a82904 | [
"MIT"
] | 3 | 2018-08-17T05:31:25.000Z | 2020-02-13T19:43:02.000Z | tests/donn/layers.py | sharan-amutharasu/DONN | c14557e8ef57f3e1c1b73c1fa98cb6ba19a82904 | [
"MIT"
] | 1 | 2018-11-19T06:16:50.000Z | 2018-11-19T06:17:53.000Z | tests/donn/layers.py | sharan-amutharasu/DONN | c14557e8ef57f3e1c1b73c1fa98cb6ba19a82904 | [
"MIT"
] | 2 | 2018-12-06T05:01:07.000Z | 2018-12-06T11:59:47.000Z |
# coding: utf-8
# In[4]:
from keras.layers import Activation, Dense, Dropout
from keras.layers.advanced_activations import LeakyReLU, PReLU, ThresholdedReLU, ELU
from keras import regularizers
# In[5]:
def get_activation_layer(activation):
"""
Returns the activation layer given its name
"""
if a... | 37.336449 | 163 | 0.606758 | 429 | 3,995 | 5.421911 | 0.191142 | 0.050301 | 0.067068 | 0.045142 | 0.493981 | 0.433362 | 0.405847 | 0.405847 | 0.394239 | 0.394239 | 0 | 0.003197 | 0.295369 | 3,995 | 106 | 164 | 37.688679 | 0.823091 | 0.23229 | 0 | 0.327273 | 0 | 0 | 0.086796 | 0.017426 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054545 | false | 0.018182 | 0.054545 | 0 | 0.309091 | 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 |
3a9b8204ffb1f187d8be96695d1cf97c47ce3c0a | 3,618 | py | Python | tournament.py | karol-prz/predictor | 2774fe2a88a9bf5f7aa58f884cdcf879182c64c7 | [
"MIT"
] | null | null | null | tournament.py | karol-prz/predictor | 2774fe2a88a9bf5f7aa58f884cdcf879182c64c7 | [
"MIT"
] | null | null | null | tournament.py | karol-prz/predictor | 2774fe2a88a9bf5f7aa58f884cdcf879182c64c7 | [
"MIT"
] | null | null | null |
class Tournament:
def __init__(self):
# Dictionary of games played, scored, conceded, gd, points
self.tables = {'A': {}, 'B': {}, 'C': {}, 'D': {}, 'E': {}, 'F': {}, 'G': {}, 'H':{}}
self.groups_finished = False
self.records = {}
self.references = {}
from parsers.utils import read_json
self.r = read_js... | 22.060976 | 97 | 0.622443 | 538 | 3,618 | 4.027881 | 0.187732 | 0.045685 | 0.041994 | 0.049838 | 0.255653 | 0.209045 | 0.159206 | 0.091832 | 0.091832 | 0.044301 | 0 | 0.020645 | 0.236871 | 3,618 | 163 | 98 | 22.196319 | 0.764216 | 0.022941 | 0 | 0.180328 | 0 | 0 | 0.028961 | 0.011641 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.032787 | 0 | 0.155738 | 0.057377 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3a9f119bf4f058c5f85a03cbf6f4da2b349b8dd5 | 1,604 | py | Python | data/ABC/filter_out_tiny_models.py | YoungXIAO13/6DPoseEstimationDatasets | b9cb1d9842870860a15bf3cf600cdfb68d1e195e | [
"MIT"
] | 383 | 2019-09-03T15:29:22.000Z | 2022-03-28T02:01:15.000Z | data/ABC/filter_out_tiny_models.py | Fang-Haoshu/ObjectPoseEstimationSummary | 2a11797e6b01e1820105740fcaeb7c049094c57f | [
"MIT"
] | 5 | 2019-10-18T13:04:07.000Z | 2021-09-29T05:26:52.000Z | data/ABC/filter_out_tiny_models.py | Fang-Haoshu/ObjectPoseEstimationSummary | 2a11797e6b01e1820105740fcaeb7c049094c57f | [
"MIT"
] | 63 | 2019-09-17T12:13:51.000Z | 2022-03-28T03:06:05.000Z | import os
from os.path import join, getsize
from PIL import Image
from tqdm import tqdm
import numpy as np
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--dataset_dir', type=str, help='dataset directory')
parser.add_argument('--model', type=str, default='abc_0000', help='subdirectory containi... | 39.121951 | 106 | 0.639027 | 231 | 1,604 | 4.30303 | 0.34632 | 0.045272 | 0.051308 | 0.054326 | 0.086519 | 0.086519 | 0 | 0 | 0 | 0 | 0 | 0.007764 | 0.197007 | 1,604 | 40 | 107 | 40.1 | 0.763975 | 0 | 0 | 0 | 0 | 0 | 0.133416 | 0.036783 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3aa10622900b7fd3873b3fb7ab47170cdb7c2440 | 2,959 | py | Python | assignments/06-python-first-lines/first_lines.py | patarajarina/biosys-analytics | a5e8845211797364ec6f7f8679911ed3b5312887 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | patarajarina/biosys-analytics | a5e8845211797364ec6f7f8679911ed3b5312887 | [
"MIT"
] | null | null | null | assignments/06-python-first-lines/first_lines.py | patarajarina/biosys-analytics | a5e8845211797364ec6f7f8679911ed3b5312887 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Author : patarajarina
Date : 2019-02-25
Purpose: Rock the Casbah
"""
import argparse
import sys
import os
# --------------------------------------------------
def get_args():
"""get command-line arguments"""
parser = argparse.ArgumentParser(
description='Argparse Python sc... | 26.9 | 82 | 0.460967 | 285 | 2,959 | 4.719298 | 0.403509 | 0.026766 | 0.050558 | 0.016357 | 0.092193 | 0.068401 | 0.068401 | 0.068401 | 0.068401 | 0.068401 | 0 | 0.009965 | 0.32173 | 2,959 | 109 | 83 | 27.146789 | 0.660189 | 0.370057 | 0 | 0.040816 | 0 | 0 | 0.088594 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.061224 | 0 | 0.163265 | 0.081633 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3aa3c3abf98c6d1ad3b59e984112889aa463ffaf | 4,251 | py | Python | inocybe_dhcp/rfc2131.py | kot-begemot-uk/opx-dhcp | 683c7c52f19eedc57196403213c9695ac3439526 | [
"Apache-2.0"
] | null | null | null | inocybe_dhcp/rfc2131.py | kot-begemot-uk/opx-dhcp | 683c7c52f19eedc57196403213c9695ac3439526 | [
"Apache-2.0"
] | null | null | null | inocybe_dhcp/rfc2131.py | kot-begemot-uk/opx-dhcp | 683c7c52f19eedc57196403213c9695ac3439526 | [
"Apache-2.0"
] | 2 | 2018-09-05T07:59:21.000Z | 2018-09-14T07:15:17.000Z | #!/usr/bin/env python3
'''RFC 2131 DHCP message structures.'''
# Copyright (c) 2018 Inocybe Technologies.
#
# 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/LICE... | 42.51 | 119 | 0.639379 | 545 | 4,251 | 4.966972 | 0.357798 | 0.024012 | 0.041374 | 0.05024 | 0.131511 | 0.101219 | 0.101219 | 0.036941 | 0.036941 | 0.036941 | 0 | 0.019706 | 0.247942 | 4,251 | 99 | 120 | 42.939394 | 0.827025 | 0.559868 | 0 | 0.08 | 0 | 0 | 0.09047 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0.02 | 0.08 | 0 | 0.24 | 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 |
3aa5d9d21b6bad4cb5b8740e530181d78e841342 | 1,883 | py | Python | src/data/get_raw_data.py | vivek1739/titanic | 39058f7ecef3ae0e1962fc1dfc550b654e97e1f0 | [
"MIT"
] | null | null | null | src/data/get_raw_data.py | vivek1739/titanic | 39058f7ecef3ae0e1962fc1dfc550b654e97e1f0 | [
"MIT"
] | null | null | null | src/data/get_raw_data.py | vivek1739/titanic | 39058f7ecef3ae0e1962fc1dfc550b654e97e1f0 | [
"MIT"
] | null | null | null | # encoding utf-8
import os
from dotenv import find_dotenv,load_dotenv
from requests import session
import logging
#payload for login to kaggle
payload = {
'action':'login',
'username': os.environ.get("KAGGLE_USERNAME"),
'password': os.environ.get("KAGGLE_PASSWORD")
}
def extract_data(url, file_path):
... | 30.868852 | 77 | 0.668083 | 263 | 1,883 | 4.574144 | 0.376426 | 0.04655 | 0.03325 | 0.042394 | 0.136326 | 0.103076 | 0.103076 | 0.103076 | 0 | 0 | 0 | 0.008719 | 0.208178 | 1,883 | 61 | 78 | 30.868852 | 0.798122 | 0.141795 | 0 | 0 | 0 | 0 | 0.213793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.027778 | 0.111111 | 0 | 0.166667 | 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 |
3aa8e8a10f90ca6b21d728f7a1f51b3d5e590506 | 770 | py | Python | apps/splash/migrations/0006_auto_20151213_0309.py | Kpaubert/onlineweb4 | 9ac79f163bc3a816db57ffa8477ea88770d97807 | [
"MIT"
] | 32 | 2017-02-22T13:38:38.000Z | 2022-03-31T23:29:54.000Z | apps/splash/migrations/0006_auto_20151213_0309.py | Kpaubert/onlineweb4 | 9ac79f163bc3a816db57ffa8477ea88770d97807 | [
"MIT"
] | 694 | 2017-02-15T23:09:52.000Z | 2022-03-31T23:16:07.000Z | apps/splash/migrations/0006_auto_20151213_0309.py | Kpaubert/onlineweb4 | 9ac79f163bc3a816db57ffa8477ea88770d97807 | [
"MIT"
] | 35 | 2017-09-02T21:13:09.000Z | 2022-02-21T11:30:30.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import django_extensions.db.fields
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("splash", "0005_auto_20150422_2236")]
operations = [
migrations.AlterField(
model_name="spl... | 27.5 | 72 | 0.614286 | 69 | 770 | 6.594203 | 0.521739 | 0.105495 | 0.118681 | 0.158242 | 0.320879 | 0.193407 | 0 | 0 | 0 | 0 | 0 | 0.030853 | 0.284416 | 770 | 27 | 73 | 28.518519 | 0.794918 | 0.027273 | 0 | 0.380952 | 0 | 0 | 0.108434 | 0.03079 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 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 |
3aaa3f49b8735100881fb406c235065fe7efe4e9 | 314 | py | Python | Ekeopara_Praise/Phase 1/Python Basic 1/Day 3 Tasks/Task 10.py | nkem1010/python-challenge-solutions | 203cedc691094a83b110fc75764aac51dbbc1a03 | [
"MIT"
] | null | null | null | Ekeopara_Praise/Phase 1/Python Basic 1/Day 3 Tasks/Task 10.py | nkem1010/python-challenge-solutions | 203cedc691094a83b110fc75764aac51dbbc1a03 | [
"MIT"
] | null | null | null | Ekeopara_Praise/Phase 1/Python Basic 1/Day 3 Tasks/Task 10.py | nkem1010/python-challenge-solutions | 203cedc691094a83b110fc75764aac51dbbc1a03 | [
"MIT"
] | null | null | null | '''10. Write a Python program to get a string which is n (non-negative integer) copies of a given string.
Tools: input function, slicing'''
word = str(input("Type in any string or word: "))
n = int(input("Enter the number of repititions: "))
ans = ""
for i in range(n):
ans = ans + word
print(ans)
| 24.153846 | 105 | 0.656051 | 52 | 314 | 3.961538 | 0.711538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008163 | 0.219745 | 314 | 12 | 106 | 26.166667 | 0.832653 | 0.423567 | 0 | 0 | 0 | 0 | 0.358824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3aac4e1d77f4bf335aa448746527f97c1db73e42 | 2,085 | py | Python | tests/test_api.py | sebaacuna/bigcommerce-api-python | 59ef206d7296c196a0ae0400b6bf9bdb5c2f72af | [
"MIT"
] | null | null | null | tests/test_api.py | sebaacuna/bigcommerce-api-python | 59ef206d7296c196a0ae0400b6bf9bdb5c2f72af | [
"MIT"
] | null | null | null | tests/test_api.py | sebaacuna/bigcommerce-api-python | 59ef206d7296c196a0ae0400b6bf9bdb5c2f72af | [
"MIT"
] | null | null | null | import unittest
import bigcommerce.api
from bigcommerce.connection import Connection, OAuthConnection
from bigcommerce.resources import ApiResource
from mock import MagicMock, patch, Mock
class TestBigcommerceApi(unittest.TestCase):
""" Test API client creation and helpers"""
def test_create_basic(self):
... | 36.578947 | 130 | 0.729976 | 217 | 2,085 | 6.880184 | 0.317972 | 0.084394 | 0.107167 | 0.078366 | 0.425988 | 0.304086 | 0.146015 | 0.146015 | 0.100469 | 0 | 0 | 0.008641 | 0.167386 | 2,085 | 56 | 131 | 37.232143 | 0.851382 | 0.017266 | 0 | 0.216216 | 0 | 0 | 0.064247 | 0.025012 | 0 | 0 | 0 | 0 | 0.297297 | 1 | 0.162162 | false | 0 | 0.135135 | 0 | 0.351351 | 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 |
3aad54a74724c543c7739f87f3d7419f9de3dd0e | 638 | py | Python | media.py | anuraglahon16/Make_a_movie_website | 4d5371b7cc1286f2444376a221595d8c6bb0d492 | [
"MIT"
] | null | null | null | media.py | anuraglahon16/Make_a_movie_website | 4d5371b7cc1286f2444376a221595d8c6bb0d492 | [
"MIT"
] | null | null | null | media.py | anuraglahon16/Make_a_movie_website | 4d5371b7cc1286f2444376a221595d8c6bb0d492 | [
"MIT"
] | null | null | null | """Defines the Movie class"""
import webbrowser
class Movie(object):
"""This class provides a way to store movie related information."""
def __init__(self, movie_title, movie_storyline, poster_image,
trailer_youtube, movie_release_date):
self.title = movie_title
sel... | 33.578947 | 72 | 0.677116 | 77 | 638 | 5.298701 | 0.428571 | 0.137255 | 0.078431 | 0.102941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.247649 | 638 | 18 | 73 | 35.444444 | 0.85 | 0.202194 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3ab1c994ef22b2ed6be0bfd91c5d34915c683650 | 629 | py | Python | sync_binlog/output_log.py | liusl104/py_sync_binlog | 33a67f545159767d38a522d28d2f79b3ac3802ca | [
"Apache-2.0"
] | 3 | 2018-09-18T03:29:33.000Z | 2020-01-13T03:34:39.000Z | sync_binlog/output_log.py | liusl104/py_sync_binlog | 33a67f545159767d38a522d28d2f79b3ac3802ca | [
"Apache-2.0"
] | null | null | null | sync_binlog/output_log.py | liusl104/py_sync_binlog | 33a67f545159767d38a522d28d2f79b3ac3802ca | [
"Apache-2.0"
] | 1 | 2022-01-25T09:39:17.000Z | 2022-01-25T09:39:17.000Z | # encoding=utf8
import logging # 引入logging模块
from logging.handlers import TimedRotatingFileHandler
from sync_conf import log_bese_path, log_backup_count, log_msg_level
# 日志
logfile = log_bese_path + '/logs/' + 'binlog_sync.log'
logger = logging.getLogger()
logger.setLevel(log_msg_level)
# 按日分割日志,默认日志保留7份
fh = Tim... | 28.590909 | 90 | 0.761526 | 86 | 629 | 5.383721 | 0.569767 | 0.030238 | 0.047516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0053 | 0.100159 | 629 | 21 | 91 | 29.952381 | 0.812721 | 0.117647 | 0 | 0 | 0 | 0.090909 | 0.171533 | 0.05292 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 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 |
3ac6b31791c0cfaed3de6874a765f1f48fec4c3e | 741 | py | Python | tunobase/social_media/facebook/utils.py | unomena/tunobase | 9219e6c5a49eecd1c66dd1b518640c5d678acab6 | [
"BSD-3-Clause"
] | null | null | null | tunobase/social_media/facebook/utils.py | unomena/tunobase | 9219e6c5a49eecd1c66dd1b518640c5d678acab6 | [
"BSD-3-Clause"
] | null | null | null | tunobase/social_media/facebook/utils.py | unomena/tunobase | 9219e6c5a49eecd1c66dd1b518640c5d678acab6 | [
"BSD-3-Clause"
] | null | null | null | '''
Created on 09 Nov 2013
@author: michael
'''
import json
import urllib2
import urllib
from django.conf import settings
import facebook
def validate_access_token(access_token):
'''
Validate a Facebook access token
'''
# Get an app access token
app_token = facebook.get_app_access_token(
... | 19.5 | 74 | 0.645074 | 90 | 741 | 5.111111 | 0.511111 | 0.167391 | 0.104348 | 0.095652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014286 | 0.244265 | 741 | 37 | 75 | 20.027027 | 0.807143 | 0.132254 | 0 | 0 | 0 | 0 | 0.137097 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.227273 | 0 | 0.318182 | 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 |
3acea141522edbabbe9dcfc8fdb02306077a23f4 | 6,988 | py | Python | pysc2/agents/myAgent/myAgent_6/decisionMaker/hierarchical_learning_structure.py | Hotpotfish/pysc2 | 3d7f7ffc01a50ab69d435b65c892cd0bc11265a8 | [
"Apache-2.0"
] | null | null | null | pysc2/agents/myAgent/myAgent_6/decisionMaker/hierarchical_learning_structure.py | Hotpotfish/pysc2 | 3d7f7ffc01a50ab69d435b65c892cd0bc11265a8 | [
"Apache-2.0"
] | null | null | null | pysc2/agents/myAgent/myAgent_6/decisionMaker/hierarchical_learning_structure.py | Hotpotfish/pysc2 | 3d7f7ffc01a50ab69d435b65c892cd0bc11265a8 | [
"Apache-2.0"
] | null | null | null | import datetime
import pysc2.agents.myAgent.myAgent_6.config.config as config
from pysc2.agents.myAgent.myAgent_6.decisionMaker.DQN import DQN
import pysc2.agents.myAgent.myAgent_6.smart_actions as sa
import pysc2.agents.myAgent.myAgent_6.tools.handcraft_function as handcraft_function
from pysc2.env.environment impor... | 50.637681 | 148 | 0.680309 | 787 | 6,988 | 5.747141 | 0.161372 | 0.120274 | 0.091974 | 0.101702 | 0.600929 | 0.533053 | 0.395976 | 0.293389 | 0.247402 | 0.247402 | 0 | 0.004336 | 0.240985 | 6,988 | 137 | 149 | 51.007299 | 0.848416 | 0.019319 | 0 | 0.180952 | 0 | 0 | 0.011098 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104762 | false | 0 | 0.066667 | 0.009524 | 0.285714 | 0.028571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3acef1e57e1e1cdd81c2829c115eefd77da35670 | 8,696 | py | Python | tfx/components/transform/executor_utils_test.py | avelez93/tfx | 75fbb6a7d50e99138609be3ca4c3a204a13a2195 | [
"Apache-2.0"
] | 1 | 2021-08-22T21:10:48.000Z | 2021-08-22T21:10:48.000Z | tfx/components/transform/executor_utils_test.py | avelez93/tfx | 75fbb6a7d50e99138609be3ca4c3a204a13a2195 | [
"Apache-2.0"
] | null | null | null | tfx/components/transform/executor_utils_test.py | avelez93/tfx | 75fbb6a7d50e99138609be3ca4c3a204a13a2195 | [
"Apache-2.0"
] | 1 | 2020-12-13T22:07:53.000Z | 2020-12-13T22:07:53.000Z | # Copyright 2021 Google LLC. 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 a... | 39.889908 | 80 | 0.722516 | 913 | 8,696 | 6.58379 | 0.210296 | 0.051905 | 0.058559 | 0.034936 | 0.44718 | 0.311429 | 0.277824 | 0.248544 | 0.195309 | 0.153718 | 0 | 0.007996 | 0.180198 | 8,696 | 217 | 81 | 40.073733 | 0.83518 | 0.090156 | 0 | 0.17284 | 0 | 0 | 0.08775 | 0.041593 | 0 | 0 | 0 | 0 | 0.12963 | 1 | 0.08642 | false | 0 | 0.049383 | 0.006173 | 0.148148 | 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 |
3ad6ff269fcd4396a9cf1a6ea13465342af4b41c | 2,017 | py | Python | kingfisher_scrapy/spiders/uruguay_historical.py | open-contracting/kingfisher-collect | 2fbbd6361a0ec959e0603343a4b363f97fae3815 | [
"BSD-3-Clause"
] | 7 | 2020-07-24T13:15:37.000Z | 2021-12-11T22:40:07.000Z | kingfisher_scrapy/spiders/uruguay_historical.py | open-contracting/kingfisher-collect | 2fbbd6361a0ec959e0603343a4b363f97fae3815 | [
"BSD-3-Clause"
] | 418 | 2020-04-27T22:15:27.000Z | 2022-03-31T23:49:34.000Z | kingfisher_scrapy/spiders/uruguay_historical.py | open-contracting/kingfisher-collect | 2fbbd6361a0ec959e0603343a4b363f97fae3815 | [
"BSD-3-Clause"
] | 6 | 2020-05-28T16:06:53.000Z | 2021-03-16T02:54:15.000Z | import datetime
import scrapy
from kingfisher_scrapy.base_spider import CompressedFileSpider
from kingfisher_scrapy.util import components, handle_http_error
class UruguayHistorical(CompressedFileSpider):
"""
Domain
Agencia Reguladora de Compras Estatales (ARCE)
Spider arguments
from_date
... | 38.056604 | 110 | 0.644522 | 240 | 2,017 | 5.275 | 0.5 | 0.031596 | 0.031596 | 0.031596 | 0.037915 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021898 | 0.252851 | 2,017 | 52 | 111 | 38.788462 | 0.818182 | 0.313832 | 0 | 0 | 0 | 0.038462 | 0.164021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 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 |
3ad6ff65fc6e55b853f7c971880fa3dab4b97d0c | 1,136 | py | Python | toSpcy/toSpacy.py | patrick013/toSpcy | 8c10bc01e4a549dc177e1efb18c9c87a4dbd6f4c | [
"Apache-2.0"
] | 3 | 2019-11-07T17:29:57.000Z | 2022-03-21T01:45:04.000Z | toSpcy/toSpacy.py | patrick013/toSpcy | 8c10bc01e4a549dc177e1efb18c9c87a4dbd6f4c | [
"Apache-2.0"
] | null | null | null | toSpcy/toSpacy.py | patrick013/toSpcy | 8c10bc01e4a549dc177e1efb18c9c87a4dbd6f4c | [
"Apache-2.0"
] | null | null | null | import re
class Convertor():
def __init__(self, tagslabels={}):
self._tagslabels = tagslabels
def _handleLabel(self, tag):
if tag in self._tagslabels.keys():
return self._tagslabels[tag]
return tag
def _handleSingle(self, t):
entities = []
index = 0
... | 31.555556 | 80 | 0.491197 | 133 | 1,136 | 4.075188 | 0.368421 | 0.03321 | 0.04428 | 0.055351 | 0.097786 | 0.084871 | 0 | 0 | 0 | 0 | 0 | 0.005222 | 0.325704 | 1,136 | 35 | 81 | 32.457143 | 0.70235 | 0 | 0 | 0 | 0 | 0 | 0.121479 | 0.051056 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.035714 | 0.035714 | 0.392857 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3ad8fecb1b29ee0733883fd90b75697788d9e406 | 2,109 | py | Python | backend_final/apartacho/users/views.py | cenavia/skylynx | 6286294a8cd57279e3c176d8fcae656cef4b40a8 | [
"MIT"
] | 3 | 2020-04-29T18:07:40.000Z | 2020-05-20T20:52:52.000Z | backend_final/apartacho/users/views.py | cenavia/Apartacho | 6286294a8cd57279e3c176d8fcae656cef4b40a8 | [
"MIT"
] | 53 | 2020-05-13T03:27:41.000Z | 2022-03-12T00:32:46.000Z | backend_final/apartacho/users/views.py | cenavia/Apartacho | 6286294a8cd57279e3c176d8fcae656cef4b40a8 | [
"MIT"
] | 2 | 2020-05-16T05:34:45.000Z | 2020-06-11T14:47:50.000Z | """Users views."""
# Django REST Framework
from rest_framework.viewsets import GenericViewSet
from rest_framework.mixins import (ListModelMixin,
RetrieveModelMixin,
UpdateModelMixin)
from rest_framework import status
from rest_framework.decorators i... | 31.954545 | 69 | 0.662399 | 203 | 2,109 | 6.778325 | 0.374384 | 0.056686 | 0.061773 | 0.052326 | 0.263808 | 0.263808 | 0.171512 | 0.171512 | 0.114826 | 0.078488 | 0 | 0.00565 | 0.244666 | 2,109 | 65 | 70 | 32.446154 | 0.858129 | 0.079659 | 0 | 0.222222 | 0 | 0 | 0.040441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.155556 | 0 | 0.377778 | 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 |
3ad9ef77b1856ec357338eec91418078b9e1ee31 | 1,069 | py | Python | examples/cpp/simplicial_complex.py | TripleEss/TDALayer | 25a2da5eab50fad2d006167c2d1c97ec5efb53e0 | [
"MIT"
] | null | null | null | examples/cpp/simplicial_complex.py | TripleEss/TDALayer | 25a2da5eab50fad2d006167c2d1c97ec5efb53e0 | [
"MIT"
] | null | null | null | examples/cpp/simplicial_complex.py | TripleEss/TDALayer | 25a2da5eab50fad2d006167c2d1c97ec5efb53e0 | [
"MIT"
] | null | null | null | from __future__ import print_function
from topologylayer.functional.persistence import SimplicialComplex, persistenceForwardCohom
from topologylayer.util.process import remove_zero_bars
import torch
# first, we build our complex
s = SimplicialComplex()
# a cycle graph on vertices 1,2,3,4
# cone with vertex... | 20.960784 | 92 | 0.669785 | 176 | 1,069 | 4.017045 | 0.375 | 0.168317 | 0.101839 | 0.03819 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057497 | 0.170253 | 1,069 | 50 | 93 | 21.38 | 0.739572 | 0.27783 | 0 | 0 | 0 | 0 | 0.02391 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.137931 | 0 | 0.137931 | 0.103448 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3ada4a4b168c9f32d42b44792e037eaf4b8ba00b | 4,020 | py | Python | python/featureextraction/subscriber.py | JonathanCamargo/Eris | 34c389f0808c8b47933605ed19d98e62280e56dd | [
"MIT"
] | null | null | null | python/featureextraction/subscriber.py | JonathanCamargo/Eris | 34c389f0808c8b47933605ed19d98e62280e56dd | [
"MIT"
] | null | null | null | python/featureextraction/subscriber.py | JonathanCamargo/Eris | 34c389f0808c8b47933605ed19d98e62280e56dd | [
"MIT"
] | null | null | null | import rospy
import threading
import importlib
from collections import deque
from custom_msgs.msg import *
def Subscriber(topic_name,type_str, window):
#creates a subscriber for topic topic_name
#using the class given as a string: type_str
# in the form package_name/message_type
# or in the form package_name.msg.mess... | 34.358974 | 116 | 0.615672 | 503 | 4,020 | 4.753479 | 0.276342 | 0.032204 | 0.027185 | 0.020075 | 0.112923 | 0.08532 | 0.08532 | 0.059389 | 0.059389 | 0.059389 | 0 | 0.00705 | 0.294279 | 4,020 | 116 | 117 | 34.655172 | 0.835742 | 0.202488 | 0 | 0.178571 | 0 | 0 | 0.055294 | 0.008168 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119048 | false | 0.011905 | 0.095238 | 0.02381 | 0.27381 | 0.02381 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3adcb0e64f1098771d6fe0dddfcf3ecb6a0a3c9a | 19,324 | py | Python | scripts/condinst.py | Spritaro/condinst_tensorrt | 22063a75e015bba45b588cdb6ebf1ac663ff1924 | [
"MIT"
] | 3 | 2021-11-14T14:11:10.000Z | 2022-02-16T11:42:40.000Z | scripts/condinst.py | datomi79/condinst_tensorrt | 22063a75e015bba45b588cdb6ebf1ac663ff1924 | [
"MIT"
] | null | null | null | scripts/condinst.py | datomi79/condinst_tensorrt | 22063a75e015bba45b588cdb6ebf1ac663ff1924 | [
"MIT"
] | 1 | 2022-02-14T21:47:55.000Z | 2022-02-14T21:47:55.000Z | import math
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
from torch.utils.data import DataLoader, random_split
from torch.utils.tensorboard import SummaryWriter
import torchvision
# from torchvision.models.detection.backbone_utils import resnet_fpn_backbone
# from torchvision.o... | 48.431078 | 188 | 0.644328 | 2,635 | 19,324 | 4.503605 | 0.113472 | 0.039437 | 0.045841 | 0.038426 | 0.531558 | 0.469369 | 0.386534 | 0.350805 | 0.29561 | 0.262914 | 0 | 0.035702 | 0.23758 | 19,324 | 398 | 189 | 48.552764 | 0.769769 | 0.247413 | 0 | 0.229885 | 0 | 0 | 0.005142 | 0 | 0 | 0 | 0 | 0 | 0.003831 | 1 | 0.030651 | false | 0 | 0.038314 | 0 | 0.099617 | 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 |
3add20f0867b88372260c1d964a87cf06a4f4b64 | 1,621 | py | Python | verification/conf.py | HosseinMohammadii/django-rest-verification | 0e0d4633f4420896fbfa0005f9df49eb4ed68f88 | [
"MIT"
] | 1 | 2020-10-23T08:20:59.000Z | 2020-10-23T08:20:59.000Z | verification/conf.py | HosseinMohammadii/django-rest-verification | 0e0d4633f4420896fbfa0005f9df49eb4ed68f88 | [
"MIT"
] | null | null | null | verification/conf.py | HosseinMohammadii/django-rest-verification | 0e0d4633f4420896fbfa0005f9df49eb4ed68f88 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.utils import timezone
from .base import default_config, numeric, lowercase_alphabetic, uppercase_alphabetic
config = default_config
config.update(settings.VERIFICATION)
VERIFICATION_CODE_FIELD = 'verification_code'
VERIFICATIONS = config.get('VERIFICATIONS')
CODE_LENGTH = ... | 33.770833 | 85 | 0.805676 | 210 | 1,621 | 5.833333 | 0.280952 | 0.097959 | 0.053061 | 0.069388 | 0.066939 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000686 | 0.101172 | 1,621 | 47 | 86 | 34.489362 | 0.840082 | 0 | 0 | 0 | 0 | 0 | 0.167901 | 0.045679 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.081081 | 0.027027 | 0.135135 | 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 |
3adedc706a3e7e55655cf8dce7e7f4c1476ebd61 | 13,078 | py | Python | nxbt/controller/server.py | Yamakaky/nxbt | 0fe9acaaf0fac8014f9aaee53943711a106b572c | [
"MIT"
] | null | null | null | nxbt/controller/server.py | Yamakaky/nxbt | 0fe9acaaf0fac8014f9aaee53943711a106b572c | [
"MIT"
] | null | null | null | nxbt/controller/server.py | Yamakaky/nxbt | 0fe9acaaf0fac8014f9aaee53943711a106b572c | [
"MIT"
] | null | null | null | import socket
import fcntl
import os
import time
import queue
import logging
import traceback
from .controller import Controller, ControllerTypes
from ..bluez import BlueZ
from .protocol import ControllerProtocol
from .input import InputParser
from .utils import format_msg_controller, format_msg_switch
class Control... | 34.415789 | 90 | 0.558878 | 1,417 | 13,078 | 5.018349 | 0.201129 | 0.0135 | 0.025313 | 0.011813 | 0.476586 | 0.407538 | 0.368865 | 0.346927 | 0.325552 | 0.306567 | 0 | 0.009512 | 0.364964 | 13,078 | 379 | 91 | 34.506596 | 0.846719 | 0.170362 | 0 | 0.485944 | 0 | 0 | 0.034991 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028112 | false | 0.012048 | 0.048193 | 0 | 0.104418 | 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 |
3adefdd3fa592b7c580b21e49f739074251c1d6b | 391 | py | Python | mfi_customization/mfi/patch/set_first_responded_on_issue.py | anuradha-88/mfi_customization | eb19ed43d0178b461f1d9914d2f7b6b55c9d030c | [
"MIT"
] | null | null | null | mfi_customization/mfi/patch/set_first_responded_on_issue.py | anuradha-88/mfi_customization | eb19ed43d0178b461f1d9914d2f7b6b55c9d030c | [
"MIT"
] | null | null | null | mfi_customization/mfi/patch/set_first_responded_on_issue.py | anuradha-88/mfi_customization | eb19ed43d0178b461f1d9914d2f7b6b55c9d030c | [
"MIT"
] | null | null | null | import frappe
from datetime import datetime
# bench execute mfi_customization.mfi.patch.set_first_responded_on_issue.execute
def execute():
for d in frappe.get_all("Issue"):
for tk in frappe.get_all("Task",{"issue": d.name}, ['attended_date_time', 'status']):
if tk.attended_date_time:
frappe.db.set_value("Is... | 35.545455 | 93 | 0.749361 | 61 | 391 | 4.540984 | 0.491803 | 0.129964 | 0.173285 | 0.101083 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.109974 | 391 | 10 | 94 | 39.1 | 0.795977 | 0.199488 | 0 | 0 | 0 | 0 | 0.209003 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3adf530cc79f1ef10e5ff6f32271340c43c7203b | 3,769 | py | Python | main.py | aHeraud/cgp-tetris | a3483b279bf0bc53edcb3a871873dd576a33c01c | [
"MIT"
] | null | null | null | main.py | aHeraud/cgp-tetris | a3483b279bf0bc53edcb3a871873dd576a33c01c | [
"MIT"
] | null | null | null | main.py | aHeraud/cgp-tetris | a3483b279bf0bc53edcb3a871873dd576a33c01c | [
"MIT"
] | null | null | null | #!/usr/local/bin/python3
import sys
from multiprocessing import Pool
from timeit import default_timer as timer
from config import Config
from cgp.functionset import FunctionSet
from cgp.genome import Genome
import numpy as np
import numpy.random
from random import randint
from tetris_learning_environment import E... | 30.395161 | 137 | 0.644733 | 450 | 3,769 | 5.304444 | 0.328889 | 0.017595 | 0.065354 | 0.024298 | 0.204022 | 0.146628 | 0.125681 | 0.125681 | 0.125681 | 0.125681 | 0 | 0.020487 | 0.248872 | 3,769 | 123 | 138 | 30.642276 | 0.822678 | 0.065004 | 0 | 0.087912 | 0 | 0 | 0.048905 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043956 | false | 0 | 0.175824 | 0 | 0.241758 | 0.065934 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3ae33afc12f8987d0c85ee05a95ac1ec3a4be0c6 | 3,726 | py | Python | image_classifier/model_lib.py | JMarcan/computer_vision_perception | a5aa7bfb316e7b45596d8c5916638f5ce2b6d654 | [
"MIT"
] | null | null | null | image_classifier/model_lib.py | JMarcan/computer_vision_perception | a5aa7bfb316e7b45596d8c5916638f5ce2b6d654 | [
"MIT"
] | null | null | null | image_classifier/model_lib.py | JMarcan/computer_vision_perception | a5aa7bfb316e7b45596d8c5916638f5ce2b6d654 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Function that loads a checkpoint and rebuilds the model
import torch
from torch import nn
from collections import OrderedDict
from torchvision import datasets, transforms, models
def save_checkpoint(model, checkpoint_path, output_categories):
'''
Save the trained deep... | 31.846154 | 165 | 0.630972 | 442 | 3,726 | 5.196833 | 0.319005 | 0.125381 | 0.037005 | 0.031345 | 0.227688 | 0.127993 | 0.101001 | 0.101001 | 0.101001 | 0.101001 | 0 | 0.030246 | 0.281267 | 3,726 | 116 | 166 | 32.12069 | 0.827483 | 0.285829 | 0 | 0.106383 | 0 | 0.021277 | 0.184798 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06383 | false | 0 | 0.085106 | 0 | 0.255319 | 0.06383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3ae4b2634727a7a3c18f2473fe0c51212182326b | 7,689 | py | Python | pytorch/utils/utils.py | XinyiYS/CollaborativeFairFederatedLearning | 1372f74230b366a41243f809ce0fc15586cd40fe | [
"MIT"
] | 25 | 2020-07-29T03:46:12.000Z | 2022-03-23T07:15:53.000Z | pytorch/utils/utils.py | lingjuanlv/CollaborativeFairFederatedLearning | 1372f74230b366a41243f809ce0fc15586cd40fe | [
"MIT"
] | null | null | null | pytorch/utils/utils.py | lingjuanlv/CollaborativeFairFederatedLearning | 1372f74230b366a41243f809ce0fc15586cd40fe | [
"MIT"
] | 7 | 2020-09-15T19:06:27.000Z | 2022-02-22T06:51:52.000Z | import copy
import torch
from torch import nn
from torch.utils.data import DataLoader
from torchtext.data import Batch
def averge_models(models, device=None):
final_model = copy.deepcopy(models[0])
if device:
models = [model.to(device) for model in models]
final_model = final_model.to(device)
averaged_paramete... | 35.109589 | 123 | 0.757836 | 1,158 | 7,689 | 4.764249 | 0.163212 | 0.059815 | 0.015226 | 0.017401 | 0.287656 | 0.150082 | 0.107305 | 0.107305 | 0.082654 | 0.082654 | 0 | 0.009201 | 0.137729 | 7,689 | 219 | 124 | 35.109589 | 0.822926 | 0.038367 | 0 | 0.136691 | 0 | 0 | 0.023716 | 0 | 0 | 0 | 0 | 0 | 0.014388 | 1 | 0.079137 | false | 0 | 0.057554 | 0.007194 | 0.223022 | 0.007194 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3aea02ea9b227434bbb8b250a3ff42f885040255 | 17,501 | py | Python | Interface/Windows/WildernessTravelManagerWindow.py | Snackhole/SerpentRPG | 9e5ae019893592a46dd7681daba56af8e8e29744 | [
"MIT"
] | 1 | 2021-02-27T16:33:53.000Z | 2021-02-27T16:33:53.000Z | Interface/Windows/WildernessTravelManagerWindow.py | Snackhole/SerpentRPG | 9e5ae019893592a46dd7681daba56af8e8e29744 | [
"MIT"
] | null | null | null | Interface/Windows/WildernessTravelManagerWindow.py | Snackhole/SerpentRPG | 9e5ae019893592a46dd7681daba56af8e8e29744 | [
"MIT"
] | null | null | null | import math
import os
from PyQt5 import QtCore
from PyQt5.QtWidgets import QGridLayout, QLabel, QPushButton, QFrame, QTextEdit, QInputDialog, QSizePolicy, QAction, QMessageBox
from Core.DieClock import DieClock
from Core.WildernessTravelManager import WildernessTravelManager
from Interface.Widgets.LineEditMouseWheelE... | 52.241791 | 203 | 0.746186 | 1,415 | 17,501 | 9.223322 | 0.180919 | 0.021914 | 0.040457 | 0.040457 | 0.173933 | 0.086583 | 0.067045 | 0.031492 | 0.031492 | 0.024826 | 0 | 0.006633 | 0.172962 | 17,501 | 334 | 204 | 52.398204 | 0.895053 | 0.054797 | 0 | 0.0875 | 0 | 0 | 0.041745 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.0375 | 0 | 0.116667 | 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 |
3aec38a277d65b28e5bc3af20165517902bdb701 | 1,189 | py | Python | day03/part1.py | mtn/advent19 | 15d4ae84d248fcf66cb5ebdefee7cad4e6c4a9c2 | [
"MIT"
] | null | null | null | day03/part1.py | mtn/advent19 | 15d4ae84d248fcf66cb5ebdefee7cad4e6c4a9c2 | [
"MIT"
] | null | null | null | day03/part1.py | mtn/advent19 | 15d4ae84d248fcf66cb5ebdefee7cad4e6c4a9c2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
def getpts(path):
pts = set()
loc = [0, 0]
for step in path:
direction = step[0]
distance = int(step[1:])
if direction == "R":
for s in range(distance):
pts.add((loc[0] + s + 1, loc[1]))
loc[0] += distance
eli... | 23.78 | 78 | 0.502103 | 164 | 1,189 | 3.609756 | 0.347561 | 0.047297 | 0.040541 | 0.074324 | 0.361486 | 0.361486 | 0.361486 | 0.361486 | 0.361486 | 0.361486 | 0 | 0.039846 | 0.345669 | 1,189 | 49 | 79 | 24.265306 | 0.72108 | 0.017662 | 0 | 0.108108 | 0 | 0 | 0.01371 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0 | 0 | 0.054054 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3aece6336549f29b4f897302ef630eedb4bbc785 | 609 | py | Python | tests/plugins/test_openrectv.py | hymer-up/streamlink | f09bf6e04cddc78eceb9ded655f716ef3ee4b84f | [
"BSD-2-Clause"
] | 5 | 2017-03-21T19:43:17.000Z | 2018-10-03T14:04:29.000Z | tests/plugins/test_openrectv.py | hymer-up/streamlink | f09bf6e04cddc78eceb9ded655f716ef3ee4b84f | [
"BSD-2-Clause"
] | 7 | 2016-10-13T23:29:31.000Z | 2018-06-28T14:04:32.000Z | tests/plugins/test_openrectv.py | bumplzz69/streamlink | 34abc43875d7663ebafa241573dece272e93d88b | [
"BSD-2-Clause"
] | 2 | 2016-11-24T18:37:33.000Z | 2017-03-21T19:43:49.000Z | import unittest
from streamlink.plugins.openrectv import OPENRECtv
class TestPluginOPENRECtv(unittest.TestCase):
def test_can_handle_url(self):
should_match = [
'https://www.openrec.tv/live/DXRLAPSGTpx',
'https://www.openrec.tv/movie/JsDw3rAV2Rj',
]
for url in shou... | 29 | 59 | 0.648604 | 71 | 609 | 5.323944 | 0.43662 | 0.095238 | 0.126984 | 0.134921 | 0.343915 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004386 | 0.251232 | 609 | 20 | 60 | 30.45 | 0.824561 | 0 | 0 | 0 | 0 | 0 | 0.167488 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.3125 | 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 |
3aedf299041cb35f549d54f7d93a4515346863a2 | 6,474 | py | Python | paginas/insights.py | Campos1989/AssureNextDataApp | 65023e3e34a8bd8f80d53fce46778d2f4cf9b640 | [
"MIT"
] | 1 | 2021-06-25T08:53:31.000Z | 2021-06-25T08:53:31.000Z | paginas/insights.py | Campos1989/AssureNextDataApp | 65023e3e34a8bd8f80d53fce46778d2f4cf9b640 | [
"MIT"
] | null | null | null | paginas/insights.py | Campos1989/AssureNextDataApp | 65023e3e34a8bd8f80d53fce46778d2f4cf9b640 | [
"MIT"
] | null | null | null | # Script de criação do dashboard
# https://dash.plotly.com/dash-html-components
# Imports
import traceback
import pandas as pd
import plotly.express as px
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import dash_html_components as html
from dash.dependencies import Input, Output
# Módulo... | 78.95122 | 998 | 0.605653 | 796 | 6,474 | 4.903266 | 0.344221 | 0.019728 | 0.028183 | 0.073277 | 0.33359 | 0.33359 | 0.33359 | 0.33359 | 0.33359 | 0.33359 | 0 | 0.023354 | 0.30553 | 6,474 | 81 | 999 | 79.925926 | 0.844751 | 0.020853 | 0 | 0.446154 | 0 | 0.046154 | 0.462255 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015385 | false | 0 | 0.138462 | 0 | 0.184615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3af4df280e903825cd489383b9d45d6281eb6687 | 491 | py | Python | test/log_check.py | talareq/selenium | 302804aa34149ea38b42fe7b55d806211e9e4435 | [
"Apache-2.0"
] | null | null | null | test/log_check.py | talareq/selenium | 302804aa34149ea38b42fe7b55d806211e9e4435 | [
"Apache-2.0"
] | null | null | null | test/log_check.py | talareq/selenium | 302804aa34149ea38b42fe7b55d806211e9e4435 | [
"Apache-2.0"
] | null | null | null |
def test_example(app):
app.login_admin()
app.get("http://localhost/litecart/admin/?app=catalog&doc=catalog&category_id=1")
menu=app.driver.find_elements_by_css_selector("tr .row")
for n in range(0,len(menu)):
element = app.driver.find_elements_by_css_selector("tr .row")
element[n].clic... | 35.071429 | 96 | 0.672098 | 74 | 491 | 4.283784 | 0.486486 | 0.113565 | 0.100946 | 0.15142 | 0.624606 | 0.624606 | 0.624606 | 0.624606 | 0.624606 | 0.378549 | 0 | 0.007371 | 0.171079 | 491 | 14 | 96 | 35.071429 | 0.771499 | 0 | 0 | 0 | 0 | 0 | 0.328571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.1 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3af692d7975c4dc7bec14dbb6e213b560c3130d8 | 7,526 | py | Python | harvest/detailedreports.py | rzuris/python-harvest_apiv2 | 1a4915c2772aa9d27b74a545b14138d418566832 | [
"MIT"
] | null | null | null | harvest/detailedreports.py | rzuris/python-harvest_apiv2 | 1a4915c2772aa9d27b74a545b14138d418566832 | [
"MIT"
] | null | null | null | harvest/detailedreports.py | rzuris/python-harvest_apiv2 | 1a4915c2772aa9d27b74a545b14138d418566832 | [
"MIT"
] | 1 | 2022-03-28T10:47:37.000Z | 2022-03-28T10:47:37.000Z |
# Copyright 2020 Bradbase
import itertools
from datetime import datetime, timedelta, date
from calendar import monthrange
from harvest import Harvest
from .harvestdataclasses import *
class DetailedReports(Harvest):
def __init__(self, uri, auth):
super().__init__(uri, auth)
self.client_cache = ... | 40.245989 | 622 | 0.558464 | 875 | 7,526 | 4.602286 | 0.152 | 0.058108 | 0.063571 | 0.041718 | 0.484728 | 0.455923 | 0.433077 | 0.39111 | 0.377204 | 0.365533 | 0 | 0.027032 | 0.336434 | 7,526 | 186 | 623 | 40.462366 | 0.779335 | 0.007972 | 0 | 0.385135 | 0 | 0 | 0.03458 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02027 | false | 0 | 0.033784 | 0 | 0.081081 | 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 |
3af6f1205b131d37a985d1c51f9e6d5d18cb4383 | 328 | py | Python | bibliopixel/commands/kill.py | rec/leds | ed5fd11ed155e7008d4ef6d5b3d82cd7f8b3ed6a | [
"MIT"
] | 253 | 2015-01-03T23:17:57.000Z | 2021-12-14T02:31:08.000Z | bibliopixel/commands/kill.py | rec/leds | ed5fd11ed155e7008d4ef6d5b3d82cd7f8b3ed6a | [
"MIT"
] | 879 | 2015-01-11T16:07:25.000Z | 2021-12-10T16:24:31.000Z | bibliopixel/commands/kill.py | rec/leds | ed5fd11ed155e7008d4ef6d5b3d82cd7f8b3ed6a | [
"MIT"
] | 71 | 2015-01-04T01:02:47.000Z | 2022-03-25T18:30:10.000Z | """
Send a kill signal to a BiblioPixel process running on this
machine to abruptly kill it
DEPRECATED: use
.. code-block:: bash
$ kill -kill `bpa-pid`
"""
DESCRIPTION = """
Example:
.. code-block:: bash
$ bp kill
"""
from .. util.signal_handler import make_command
add_arguments, run = make_command('SI... | 13.666667 | 59 | 0.682927 | 45 | 328 | 4.888889 | 0.733333 | 0.081818 | 0.118182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195122 | 328 | 23 | 60 | 14.26087 | 0.833333 | 0.469512 | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3af703dc54a66f683dbd47d8d1a850161cd49620 | 5,645 | py | Python | DataProcessing.py | manohar9600/The-Movies-Recommendation | 138587220ff6bef4c856ea905af5b7e9574e5964 | [
"MIT"
] | null | null | null | DataProcessing.py | manohar9600/The-Movies-Recommendation | 138587220ff6bef4c856ea905af5b7e9574e5964 | [
"MIT"
] | null | null | null | DataProcessing.py | manohar9600/The-Movies-Recommendation | 138587220ff6bef4c856ea905af5b7e9574e5964 | [
"MIT"
] | null | null | null | # Standard imports
import json
import ast
# Third party imports
import pandas as pd
from tabulate import tabulate
# Local application imports
from utils.logger import logger
class Dataloding:
"""Loads movie lens and TMDB data from data folder.
"""
def __init__(self, data_folder='data'):
sel... | 37.384106 | 81 | 0.583702 | 665 | 5,645 | 4.718797 | 0.183459 | 0.033142 | 0.03123 | 0.053537 | 0.232314 | 0.129382 | 0.059911 | 0.037604 | 0.037604 | 0.037604 | 0 | 0.001551 | 0.314615 | 5,645 | 150 | 82 | 37.633333 | 0.809512 | 0.137998 | 0 | 0.041237 | 0 | 0 | 0.124148 | 0.022359 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061856 | false | 0.010309 | 0.051546 | 0 | 0.164948 | 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 |
aae6433bbacb013e1d4734b577daca4627358efe | 421 | py | Python | easy/1710-maximum-units-on-a-truck.py | changmeng72/leecode_python3 | 8384f52f0dd74b06b1b6aefa277dde6a228ff5f3 | [
"MIT"
] | null | null | null | easy/1710-maximum-units-on-a-truck.py | changmeng72/leecode_python3 | 8384f52f0dd74b06b1b6aefa277dde6a228ff5f3 | [
"MIT"
] | null | null | null | easy/1710-maximum-units-on-a-truck.py | changmeng72/leecode_python3 | 8384f52f0dd74b06b1b6aefa277dde6a228ff5f3 | [
"MIT"
] | null | null | null | class Solution:
def maximumUnits(self, boxTypes: List[List[int]], truckSize: int) -> int:
boxTypes.sort(key=lambda x: x[1],reverse = True)
r = 0
remaining = truckSize
for boxType in boxTypes:
b = min(remaining,boxType[0])
r += b * boxType[1]
... | 32.384615 | 78 | 0.489311 | 46 | 421 | 4.478261 | 0.586957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020161 | 0.410926 | 421 | 13 | 79 | 32.384615 | 0.810484 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 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 |
aae69a1c9858fa2062e072c3ac6fac72ce0dc685 | 334 | py | Python | OpenCV/assign1_2.py | Aanal2901/Autumn-of-Automation | c6ea432d3608652254b841c392dde6aa466b2df4 | [
"MIT"
] | null | null | null | OpenCV/assign1_2.py | Aanal2901/Autumn-of-Automation | c6ea432d3608652254b841c392dde6aa466b2df4 | [
"MIT"
] | null | null | null | OpenCV/assign1_2.py | Aanal2901/Autumn-of-Automation | c6ea432d3608652254b841c392dde6aa466b2df4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 24 00:44:49 2020
@author: Aanal Sonara
"""
import cv2
cap = cv2.VideoCapture(0)
while cap.isOpened():
_, frame = cap.read()
cv2.imshow("live video", frame)
k = cv2.waitKey(1) and 0xFF
if k==27:
break
cap.release()
cv2.destr... | 17.578947 | 36 | 0.577844 | 46 | 334 | 4.173913 | 0.804348 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094262 | 0.269461 | 334 | 19 | 37 | 17.578947 | 0.692623 | 0.242515 | 0 | 0 | 0 | 0 | 0.04386 | 0 | 0 | 0 | 0.017544 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 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 |
aae6ab08212b4b7afe1925bc3ddbf0db7587516e | 5,515 | py | Python | site_parser/site_parser.py | TheStalkerDen/Comp-Architecture-Lab1 | ad92aed0c639cb223adc033aba5f79cc6a8f5344 | [
"MIT"
] | null | null | null | site_parser/site_parser.py | TheStalkerDen/Comp-Architecture-Lab1 | ad92aed0c639cb223adc033aba5f79cc6a8f5344 | [
"MIT"
] | null | null | null | site_parser/site_parser.py | TheStalkerDen/Comp-Architecture-Lab1 | ad92aed0c639cb223adc033aba5f79cc6a8f5344 | [
"MIT"
] | null | null | null | import configparser
import os
import tempfile
import urllib.request
import xml.dom.minidom
import xml.etree.ElementTree as ET
from urllib.error import HTTPError, URLError
from urllib.parse import urlparse
from bs4 import BeautifulSoup
from tinytag import TinyTag
import gevent
dir_path = os.path.dirname(os.path.realpa... | 36.282895 | 114 | 0.677244 | 766 | 5,515 | 4.562663 | 0.223238 | 0.032046 | 0.033476 | 0.027182 | 0.296996 | 0.210587 | 0.095279 | 0.041202 | 0 | 0 | 0 | 0.015527 | 0.217588 | 5,515 | 151 | 115 | 36.523179 | 0.794438 | 0 | 0 | 0.07377 | 0 | 0 | 0.056029 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106557 | false | 0.008197 | 0.090164 | 0.008197 | 0.286885 | 0.008197 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aae7a8e4bea1bfaeb77207d29d33884bce510446 | 4,341 | py | Python | project/encoder_toy.py | tkosht/wikiencoder | c1744e60e902949e1926c9efe0c24eb3ac5f00fd | [
"MIT"
] | null | null | null | project/encoder_toy.py | tkosht/wikiencoder | c1744e60e902949e1926c9efe0c24eb3ac5f00fd | [
"MIT"
] | null | null | null | project/encoder_toy.py | tkosht/wikiencoder | c1744e60e902949e1926c9efe0c24eb3ac5f00fd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import numpy
import torch
import torchnet
from tqdm import tqdm
from torchnet.engine import Engine
from torchnet.logger import VisdomPlotLogger, VisdomLogger
import project.deco as deco
from project.sequoder import SequenceEncoder, get_loss
def get_args(... | 31.919118 | 95 | 0.628657 | 562 | 4,341 | 4.701068 | 0.33452 | 0.020439 | 0.038607 | 0.028388 | 0.116578 | 0.100681 | 0.0757 | 0.0757 | 0.040878 | 0.040878 | 0 | 0.010235 | 0.234739 | 4,341 | 135 | 96 | 32.155556 | 0.785069 | 0.147431 | 0 | 0.041237 | 0 | 0 | 0.124254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103093 | false | 0 | 0.092784 | 0 | 0.237113 | 0.020619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aae827e1c08cf7a4934daf6680f0a298b8d6f043 | 18,420 | py | Python | families/supplychain_python/sawtooth_supplychain/processor/handler.py | trust-tech/sawtooth-core | fcd66ff2f13dba51d7642049e0c0306dbee3b07d | [
"Apache-2.0"
] | null | null | null | families/supplychain_python/sawtooth_supplychain/processor/handler.py | trust-tech/sawtooth-core | fcd66ff2f13dba51d7642049e0c0306dbee3b07d | [
"Apache-2.0"
] | null | null | null | families/supplychain_python/sawtooth_supplychain/processor/handler.py | trust-tech/sawtooth-core | fcd66ff2f13dba51d7642049e0c0306dbee3b07d | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | 40.394737 | 80 | 0.591205 | 1,862 | 18,420 | 5.640172 | 0.145542 | 0.057132 | 0.023995 | 0.028566 | 0.458198 | 0.410303 | 0.369073 | 0.311845 | 0.280804 | 0.254428 | 0 | 0.002002 | 0.321987 | 18,420 | 455 | 81 | 40.483516 | 0.838898 | 0.115418 | 0 | 0.360856 | 0 | 0 | 0.128764 | 0.004742 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076453 | false | 0.003058 | 0.021407 | 0.012232 | 0.125382 | 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 |
aaebd6d86a473c46810168a0f679eb02f758b767 | 875 | py | Python | pretoinf.py | nirmalya8/CalculateAndConvert | 07eb954e2ac5960363637079bc8c179edec37a69 | [
"CC-BY-3.0"
] | 1 | 2021-01-11T09:01:51.000Z | 2021-01-11T09:01:51.000Z | pretoinf.py | nirmalya8/CalculateAndConvert | 07eb954e2ac5960363637079bc8c179edec37a69 | [
"CC-BY-3.0"
] | null | null | null | pretoinf.py | nirmalya8/CalculateAndConvert | 07eb954e2ac5960363637079bc8c179edec37a69 | [
"CC-BY-3.0"
] | 1 | 2021-01-10T09:25:45.000Z | 2021-01-10T09:25:45.000Z | class prefixtoinfix:
def prefixToInfix(self,prefix):
stack = []
l = []
# read prefix in reverse order
i = len(prefix) - 1
for j in prefix:
if j == ' ':
return [],False
while i >= 0:
if not self.isOperator(prefix[i]):
... | 29.166667 | 92 | 0.377143 | 89 | 875 | 3.707865 | 0.382022 | 0.054545 | 0.072727 | 0.090909 | 0.057576 | 0.057576 | 0.057576 | 0.057576 | 0.057576 | 0.057576 | 0 | 0.008969 | 0.490286 | 875 | 30 | 93 | 29.166667 | 0.730942 | 0.074286 | 0 | 0.173913 | 0 | 0 | 0.012392 | 0 | 0.043478 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0 | 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 |
aaf0aa3cbdbb1c81c191ac04d6a56e4b822a4b99 | 980 | py | Python | src/weapon.py | gcairesdev/zelda | 33fce4196c306d0a840aa189b0213f2879058090 | [
"MIT"
] | 2 | 2022-03-10T22:22:19.000Z | 2022-03-24T14:42:55.000Z | src/weapon.py | gcairesdev/zelda | 33fce4196c306d0a840aa189b0213f2879058090 | [
"MIT"
] | null | null | null | src/weapon.py | gcairesdev/zelda | 33fce4196c306d0a840aa189b0213f2879058090 | [
"MIT"
] | null | null | null | import pygame
class Weapon(pygame.sprite.Sprite):
def __init__(self, player, groups):
super().__init__(groups)
self.spriteType = 'weapon'
direction = player.status.split('_')[0]
# graphic
fullPath = f'./src/img/weapons/{player.weapon}/{direction}.png'
self.image = ... | 36.296296 | 75 | 0.586735 | 112 | 980 | 5.008929 | 0.392857 | 0.080214 | 0.085562 | 0.121212 | 0.28877 | 0.28877 | 0.117647 | 0 | 0 | 0 | 0 | 0.022663 | 0.279592 | 980 | 26 | 76 | 37.692308 | 0.771955 | 0.017347 | 0 | 0.2 | 0 | 0 | 0.071875 | 0.051042 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aaf368c0cbb0ab66f42b16908ff73d7af84048da | 1,224 | py | Python | humans-in-the-loop-files/machine-learning-scripts/ImageDownloader.py | LibraryOfCongress/hitl | 8b054f1433b2129bfbaf16fcb09df637335a04a0 | [
"MIT"
] | 3 | 2021-12-06T16:44:16.000Z | 2022-03-30T05:45:48.000Z | humans-in-the-loop-files/machine-learning-scripts/ImageDownloader.py | LibraryOfCongress/hitl | 8b054f1433b2129bfbaf16fcb09df637335a04a0 | [
"MIT"
] | 8 | 2022-02-14T22:39:19.000Z | 2022-03-31T01:54:06.000Z | humans-in-the-loop-files/machine-learning-scripts/ImageDownloader.py | LibraryOfCongress/hitl | 8b054f1433b2129bfbaf16fcb09df637335a04a0 | [
"MIT"
] | 1 | 2022-02-15T18:59:44.000Z | 2022-02-15T18:59:44.000Z | #
# Download images from the LOC IIIF server and store them locally
#
import requests
from pathlib import Path
import shutil
import time
base = 'https://www.loc.gov/'
iiifbase = 'https://tile.loc.gov/image-services/iiif/'
def getImages(item, dest_dir):
downloaded_images = list()
Path(dest_dir).mkdir(parents=Tr... | 36 | 146 | 0.607843 | 152 | 1,224 | 4.776316 | 0.546053 | 0.038567 | 0.066116 | 0.070248 | 0.068871 | 0.068871 | 0.068871 | 0 | 0 | 0 | 0 | 0.008677 | 0.246732 | 1,224 | 34 | 147 | 36 | 0.778742 | 0.051471 | 0 | 0 | 0 | 0 | 0.164076 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.133333 | 0 | 0.2 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aaf4cca94bb840d24c6ed43cf92a6175ba126324 | 1,291 | py | Python | Task2E.py | bendomb/IA-Flood-Warning-System | 8e476010e83b64aca8a05dc31f88fe2d6fbd3c9f | [
"MIT"
] | null | null | null | Task2E.py | bendomb/IA-Flood-Warning-System | 8e476010e83b64aca8a05dc31f88fe2d6fbd3c9f | [
"MIT"
] | null | null | null | Task2E.py | bendomb/IA-Flood-Warning-System | 8e476010e83b64aca8a05dc31f88fe2d6fbd3c9f | [
"MIT"
] | null | null | null | from floodsystem.datafetcher import fetch_measure_levels
from floodsystem.stationdata import build_station_list, update_water_levels
import floodsystem.flood as flood
import floodsystem.plot as plot
from datetime import datetime, timedelta
import datetime
stations = build_station_list()
update_water_levels(stations)
... | 32.275 | 120 | 0.691712 | 172 | 1,291 | 4.988372 | 0.424419 | 0.051282 | 0.041958 | 0.051282 | 0.076923 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0.011202 | 0.239349 | 1,291 | 39 | 121 | 33.102564 | 0.862525 | 0.18048 | 0 | 0 | 0 | 0 | 0.082778 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.24 | 0 | 0.28 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aaf844dccdd148febc58c248704051fea8ef7efb | 1,256 | py | Python | gui_components/cell.py | FilipRistic2922/SudokuPy | 7098530d2fd9d82cc2e66649c993630ef6e5774a | [
"MIT"
] | null | null | null | gui_components/cell.py | FilipRistic2922/SudokuPy | 7098530d2fd9d82cc2e66649c993630ef6e5774a | [
"MIT"
] | null | null | null | gui_components/cell.py | FilipRistic2922/SudokuPy | 7098530d2fd9d82cc2e66649c993630ef6e5774a | [
"MIT"
] | null | null | null | import pygame
from gui_components.gui_util import get_font, BLACK, BLUE, GRAY
class Cell:
def __init__(self, value, row, col, width, height):
self.value = value
self.temp = 0
self.row = row
self.col = col
self.width = width
self.height = height
self.set_by... | 27.304348 | 105 | 0.527866 | 179 | 1,256 | 3.581006 | 0.290503 | 0.098284 | 0.070203 | 0.060842 | 0.065523 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023313 | 0.351115 | 1,256 | 45 | 106 | 27.911111 | 0.76319 | 0 | 0 | 0.057143 | 0 | 0 | 0.003981 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.057143 | 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 |
aaf88ec65f719215938c906b09236be307dd6034 | 2,246 | py | Python | chapter2/remove_dups.py | MubashirullahD/cracking-the-coding-interview | f9595886967e7c63cec19028239e4289e9cd1f9e | [
"MIT"
] | 1 | 2021-12-01T13:26:10.000Z | 2021-12-01T13:26:10.000Z | chapter2/remove_dups.py | MubashirullahD/cracking-the-coding-interview | f9595886967e7c63cec19028239e4289e9cd1f9e | [
"MIT"
] | null | null | null | chapter2/remove_dups.py | MubashirullahD/cracking-the-coding-interview | f9595886967e7c63cec19028239e4289e9cd1f9e | [
"MIT"
] | null | null | null | """
Remove Dups: Write code to remove duplicates from an unsorted linked list.
FOLLOW UP
How would you solve this problem if a temporary buffer is not allowed?
"""
from linkedlist import linkedlist
def remove_dup(linked_list):
placeholder = dict()
pointer1 = linked_list.top # This guy deletes the du... | 27.060241 | 77 | 0.629564 | 295 | 2,246 | 4.60678 | 0.284746 | 0.06181 | 0.064754 | 0.100074 | 0.381163 | 0.294334 | 0.294334 | 0.291391 | 0.291391 | 0.291391 | 0 | 0.033582 | 0.284061 | 2,246 | 82 | 78 | 27.390244 | 0.811567 | 0.130899 | 0 | 0.425926 | 0 | 0 | 0.020176 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.018519 | 0 | 0.092593 | 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 |
aafaed7bd2fdeb1c2bbe286e7b1293532edfc8c8 | 2,516 | py | Python | api/models.py | mz-techops/banhammer | 02476db3d2bb617dbe50827687065fbea7553caf | [
"BSD-3-Clause"
] | 3 | 2018-03-09T23:29:25.000Z | 2020-11-25T15:34:13.000Z | api/models.py | whyallyn/banhammer | 59fc81b15d9950a7a40279a9d1df8101c58df569 | [
"BSD-3-Clause"
] | 3 | 2018-05-08T01:10:43.000Z | 2021-03-19T21:56:36.000Z | api/models.py | whyallyn/banhammer | 59fc81b15d9950a7a40279a9d1df8101c58df569 | [
"BSD-3-Clause"
] | 2 | 2018-05-10T15:07:24.000Z | 2018-06-20T16:24:00.000Z | """API Django models."""
from __future__ import unicode_literals
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
@python_2_unicode_compatible
class Target(models.Model):
"""Definition of a Target."""
BAN = 'ban'
ALLOW = 'allow'
TARGET_ACTION_CHOICES = (
... | 31.848101 | 76 | 0.636328 | 297 | 2,516 | 5.144781 | 0.228956 | 0.070681 | 0.122382 | 0.141361 | 0.496073 | 0.383508 | 0.115183 | 0.115183 | 0.057592 | 0.057592 | 0 | 0.010621 | 0.25159 | 2,516 | 78 | 77 | 32.25641 | 0.80085 | 0.031002 | 0 | 0.123077 | 0 | 0 | 0.273328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030769 | false | 0 | 0.046154 | 0.030769 | 0.476923 | 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 |
aafb2505abc576fb91ec98a082757451092677b3 | 1,795 | py | Python | src/ranking_utils/scripts/preprocess.py | fknauf/ranking-utils | ce1a0be4e560d5f156a76cb5c0e3751793c67648 | [
"MIT"
] | null | null | null | src/ranking_utils/scripts/preprocess.py | fknauf/ranking-utils | ce1a0be4e560d5f156a76cb5c0e3751793c67648 | [
"MIT"
] | null | null | null | src/ranking_utils/scripts/preprocess.py | fknauf/ranking-utils | ce1a0be4e560d5f156a76cb5c0e3751793c67648 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
import argparse
from pathlib import Path
from pytorch_lightning import seed_everything
from ranking_utils.datasets.antique import ANTIQUE
from ranking_utils.datasets.fiqa import FiQA
from ranking_utils.datasets.insuranceqa import InsuranceQA
from ranking_utils.datasets.trecdl import TRECDL20... | 29.42623 | 88 | 0.690808 | 224 | 1,795 | 5.3125 | 0.361607 | 0.02521 | 0.067227 | 0.10084 | 0.134454 | 0.053782 | 0 | 0 | 0 | 0 | 0 | 0.017668 | 0.211699 | 1,795 | 60 | 89 | 29.916667 | 0.823322 | 0.012256 | 0 | 0.170213 | 0 | 0 | 0.169865 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021277 | false | 0.042553 | 0.170213 | 0 | 0.191489 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aafcb95092c87ce209c68768cc38ba847d90f715 | 945 | py | Python | lightcycle-backend/lightcycle/basebot.py | Onapsis/pytron | 2ed0622ae13f010bcd8fdbbd2f1e9cba3d2e3d58 | [
"MIT"
] | null | null | null | lightcycle-backend/lightcycle/basebot.py | Onapsis/pytron | 2ed0622ae13f010bcd8fdbbd2f1e9cba3d2e3d58 | [
"MIT"
] | null | null | null | lightcycle-backend/lightcycle/basebot.py | Onapsis/pytron | 2ed0622ae13f010bcd8fdbbd2f1e9cba3d2e3d58 | [
"MIT"
] | null | null | null | # encoding=utf-8
import random
from collections import namedtuple
Point = namedtuple('Point', 'x y')
DIRECTIONS = {
'N': Point(0, -1),
'E': Point(1, 0),
'S': Point(0, 1),
'W': Point(-1, 0),
}
class LightCycleBaseBot(object):
def get_next_step(self, arena, x, y, direction):
raise NotIm... | 27 | 73 | 0.583069 | 114 | 945 | 4.763158 | 0.438596 | 0.014733 | 0.025783 | 0.051565 | 0.12523 | 0.12523 | 0.12523 | 0.12523 | 0.12523 | 0 | 0 | 0.019727 | 0.302646 | 945 | 34 | 74 | 27.794118 | 0.804249 | 0.04127 | 0 | 0.090909 | 0 | 0 | 0.044297 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aafd6a05995c3be1c704460d3a42582a855ce32e | 6,629 | py | Python | TD1/utils/extrinsic.py | AntoineOrgerit/Web-Scrapping | 552f2f85d775ada9e85f897713d20de09c0919ed | [
"BSD-3-Clause"
] | null | null | null | TD1/utils/extrinsic.py | AntoineOrgerit/Web-Scrapping | 552f2f85d775ada9e85f897713d20de09c0919ed | [
"BSD-3-Clause"
] | null | null | null | TD1/utils/extrinsic.py | AntoineOrgerit/Web-Scrapping | 552f2f85d775ada9e85f897713d20de09c0919ed | [
"BSD-3-Clause"
] | null | null | null | """
This module allows to perform a specific extrinsic evaluation of files by a specified criteria.
Antoine Orgerit - François Gréau - Lisa Fougeron
La Rochelle Université - 2019-2020
"""
import langid
import json
import copy
import subprocess
from os import listdir, remove
from os.path import isfile, join
from utils... | 38.994118 | 276 | 0.629808 | 875 | 6,629 | 4.534857 | 0.185143 | 0.063508 | 0.081653 | 0.060988 | 0.416079 | 0.261593 | 0.225302 | 0.197329 | 0.178679 | 0.137097 | 0 | 0.009586 | 0.213154 | 6,629 | 169 | 277 | 39.224852 | 0.75115 | 0.160959 | 0 | 0.192661 | 0 | 0 | 0.102697 | 0.038604 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073395 | false | 0 | 0.06422 | 0 | 0.192661 | 0.302752 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aafdf4b1d0c84500a3e64c7af727b3f3bc824d1a | 5,002 | py | Python | cinder/tests/unit/policies/test_quotas.py | arunvinodqmco/cinder | 62cb72c6890e458427ba0601646b186b7b36dc01 | [
"Apache-2.0"
] | 571 | 2015-01-01T17:47:26.000Z | 2022-03-23T07:46:36.000Z | cinder/tests/unit/policies/test_quotas.py | arunvinodqmco/cinder | 62cb72c6890e458427ba0601646b186b7b36dc01 | [
"Apache-2.0"
] | 37 | 2015-01-22T23:27:04.000Z | 2021-02-05T16:38:48.000Z | cinder/tests/unit/policies/test_quotas.py | arunvinodqmco/cinder | 62cb72c6890e458427ba0601646b186b7b36dc01 | [
"Apache-2.0"
] | 841 | 2015-01-04T17:17:11.000Z | 2022-03-31T12:06:51.000Z | # Copyright 2021 Red Hat, Inc.
# All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 33.797297 | 78 | 0.595162 | 548 | 5,002 | 5.213504 | 0.315693 | 0.019601 | 0.015401 | 0.024151 | 0.433322 | 0.40042 | 0.325516 | 0.236262 | 0.155408 | 0.155408 | 0 | 0.003834 | 0.322071 | 5,002 | 147 | 79 | 34.027211 | 0.838691 | 0.217713 | 0 | 0.542857 | 0 | 0 | 0.137275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.057143 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
aafe6ad15866307b4277788796934306b2fe5812 | 2,207 | py | Python | build/lib/like_spider/excel.py | wuyingjie1002/like_spider | 379354a362a693d45513aee4a8d871e79d7f8de4 | [
"MIT"
] | 3 | 2019-02-23T08:19:41.000Z | 2021-01-07T08:05:29.000Z | build/lib/like_spider/excel.py | wuyingjie1002/like_spider | 379354a362a693d45513aee4a8d871e79d7f8de4 | [
"MIT"
] | null | null | null | build/lib/like_spider/excel.py | wuyingjie1002/like_spider | 379354a362a693d45513aee4a8d871e79d7f8de4 | [
"MIT"
] | 1 | 2019-02-23T08:19:43.000Z | 2019-02-23T08:19:43.000Z | import time, os
from openpyxl import load_workbook
from openpyxl import Workbook
from .config import *
class Excel():
"""This is a class that saves data to an excel file."""
def loadFile(self, fileName):
"""load excel file"""
self.wb = load_workbook(fileName)
self.sheets = self.wb.get_... | 33.439394 | 63 | 0.487993 | 248 | 2,207 | 4.318548 | 0.266129 | 0.033613 | 0.029879 | 0.036415 | 0.165266 | 0.097106 | 0.097106 | 0.097106 | 0.097106 | 0.097106 | 0 | 0.01283 | 0.399638 | 2,207 | 66 | 64 | 33.439394 | 0.795472 | 0.067059 | 0 | 0.185185 | 0 | 0 | 0.023657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.092593 | false | 0 | 0.074074 | 0 | 0.240741 | 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 |
c90218f051fff4ea8d9d74263bd6864628d0ed69 | 2,172 | py | Python | code/parsing/parsing_args.py | mdheller/SPARQA | 3678798491abeb350d9500182291b9a73da75bed | [
"MIT"
] | 1 | 2020-06-20T12:27:11.000Z | 2020-06-20T12:27:11.000Z | code/parsing/parsing_args.py | mdheller/SPARQA | 3678798491abeb350d9500182291b9a73da75bed | [
"MIT"
] | null | null | null | code/parsing/parsing_args.py | mdheller/SPARQA | 3678798491abeb350d9500182291b9a73da75bed | [
"MIT"
] | null | null | null | from common.bert_args import BertArgs
from sutime import SUTime
from parsing.nltk_nlp_utils import NLTK_NLP
from common import globals_args
from common import hand_files
parser_mode = globals_args.parser_mode
wh_words_set = {"what", "which", "whom", "who", "when", "where", "why", "how", "how many", "how large",... | 65.818182 | 133 | 0.683702 | 265 | 2,172 | 5.350943 | 0.490566 | 0.077574 | 0.080395 | 0.105783 | 0.057828 | 0.057828 | 0.057828 | 0.057828 | 0 | 0 | 0 | 0.001084 | 0.150552 | 2,172 | 33 | 134 | 65.818182 | 0.76748 | 0.035451 | 0 | 0 | 0 | 0 | 0.301795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.233333 | 0 | 0.233333 | 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 |
c90237976b3a9200b3841c1dddf956cf22c21271 | 1,378 | py | Python | torchtext/datasets/amazonreviewfull.py | parmeet/text | 1fb2aedb48b5ecc5e81741e7c8504486b91655c6 | [
"BSD-3-Clause"
] | 3,172 | 2017-01-18T19:47:03.000Z | 2022-03-27T17:06:03.000Z | torchtext/datasets/amazonreviewfull.py | parmeet/text | 1fb2aedb48b5ecc5e81741e7c8504486b91655c6 | [
"BSD-3-Clause"
] | 1,228 | 2017-01-18T20:09:16.000Z | 2022-03-31T04:42:35.000Z | torchtext/datasets/amazonreviewfull.py | parmeet/text | 1fb2aedb48b5ecc5e81741e7c8504486b91655c6 | [
"BSD-3-Clause"
] | 850 | 2017-01-19T03:19:54.000Z | 2022-03-29T15:29:52.000Z | from torchtext.data.datasets_utils import (
_RawTextIterableDataset,
_wrap_split_argument,
_add_docstring_header,
_download_extract_validate,
_create_dataset_directory,
_create_data_from_csv,
)
import os
import logging
URL = 'https://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbZVhsUnRWR... | 30.622222 | 125 | 0.716255 | 157 | 1,378 | 5.859873 | 0.414013 | 0.034783 | 0.052174 | 0.061957 | 0.063043 | 0.063043 | 0.063043 | 0.063043 | 0 | 0 | 0 | 0.071737 | 0.160377 | 1,378 | 44 | 126 | 31.318182 | 0.723423 | 0 | 0 | 0 | 0 | 0 | 0.25254 | 0.122642 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.085714 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c90243bd480bf830b8eea8819352fe119d1a48da | 2,962 | py | Python | code/examples/VsevolodTymofyeyev/example.py | TrackerSB/MasterThesis | 2792203d28d6c7b62f54545344ee6772d2ec5b64 | [
"MIT"
] | null | null | null | code/examples/VsevolodTymofyeyev/example.py | TrackerSB/MasterThesis | 2792203d28d6c7b62f54545344ee6772d2ec5b64 | [
"MIT"
] | null | null | null | code/examples/VsevolodTymofyeyev/example.py | TrackerSB/MasterThesis | 2792203d28d6c7b62f54545344ee6772d2ec5b64 | [
"MIT"
] | null | null | null | import os
from threading import Thread
from typing import List
from aiExchangeMessages_pb2 import SimulationID
def _handle_vehicle(sid: SimulationID, vid: str, requests: List[str]) -> None:
vid_obj = VehicleID()
vid_obj.vid = vid
i = 0
while i < 10:
i += 1
print(sid.sid + ": Test sta... | 36.121951 | 102 | 0.581702 | 319 | 2,962 | 5.253919 | 0.322884 | 0.048329 | 0.114558 | 0.073986 | 0.155131 | 0.155131 | 0.062053 | 0 | 0 | 0 | 0 | 0.007448 | 0.320054 | 2,962 | 81 | 103 | 36.567901 | 0.824727 | 0.035787 | 0 | 0.117647 | 0 | 0 | 0.078975 | 0.016497 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0.014706 | 0.102941 | 0 | 0.117647 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c906663e816567788a872d79ad4e2f03fb4244fb | 12,019 | py | Python | python/loom_viewer/loom_cli.py | arao11/pattern_viz | 3123f19a127c9775fadcca25f83aebfc8dc3b9f9 | [
"BSD-2-Clause"
] | 34 | 2017-10-18T06:09:16.000Z | 2022-03-21T18:53:16.000Z | python/loom_viewer/loom_cli.py | arao11/pattern_viz | 3123f19a127c9775fadcca25f83aebfc8dc3b9f9 | [
"BSD-2-Clause"
] | 52 | 2017-10-19T13:35:39.000Z | 2021-06-03T08:54:55.000Z | python/loom_viewer/loom_cli.py | arao11/pattern_viz | 3123f19a127c9775fadcca25f83aebfc8dc3b9f9 | [
"BSD-2-Clause"
] | 6 | 2018-05-28T06:16:26.000Z | 2020-08-17T11:49:34.000Z | #!/usr/bin/env python
# Copyright (c) 2016 Sten Linnarsson
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# li... | 26.473568 | 144 | 0.719611 | 1,708 | 12,019 | 4.986534 | 0.215457 | 0.029705 | 0.033932 | 0.024304 | 0.398145 | 0.358225 | 0.334742 | 0.303393 | 0.291417 | 0.262299 | 0 | 0.004147 | 0.177469 | 12,019 | 453 | 145 | 26.532009 | 0.857374 | 0.150179 | 0 | 0.36246 | 0 | 0.009709 | 0.499115 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016181 | false | 0.003236 | 0.038835 | 0 | 0.064725 | 0.006472 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c907566de3410b8c828deb59e531487549202dc6 | 1,260 | py | Python | test_function.py | will-huynh/process_controller | e193c80976ef1d35fb9e661425bf609a86a313c8 | [
"MIT"
] | 1 | 2021-12-25T04:08:53.000Z | 2021-12-25T04:08:53.000Z | test_function.py | will-huynh/process_controller | e193c80976ef1d35fb9e661425bf609a86a313c8 | [
"MIT"
] | null | null | null | test_function.py | will-huynh/process_controller | e193c80976ef1d35fb9e661425bf609a86a313c8 | [
"MIT"
] | null | null | null | import logging
import tcp_log_socket
logging_socket = tcp_log_socket.local_logging_socket(__name__)
logger = logging_socket.logger
#Test method simulating a method with required arguments; division is used to test exception handling
def test_args(div1, div2):
logger.info("Simulating a method with argument... | 37.058824 | 102 | 0.692857 | 164 | 1,260 | 5.182927 | 0.371951 | 0.094118 | 0.070588 | 0.074118 | 0.072941 | 0.072941 | 0 | 0 | 0 | 0 | 0 | 0.008048 | 0.211111 | 1,260 | 33 | 103 | 38.181818 | 0.847082 | 0.18254 | 0 | 0 | 0 | 0 | 0.252515 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.076923 | 0 | 0.307692 | 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 |
c908908fcda77dbed54b6f285d7d03c69d799dc0 | 3,154 | py | Python | users/views.py | elvinaqa/Amazon-Review-Analyzer-Summarizer-Python-NLP-ML- | 6c70e84ffbcb8c8fd65a7fe0847e1f0eb779f759 | [
"Unlicense"
] | 1 | 2020-09-10T11:26:05.000Z | 2020-09-10T11:26:05.000Z | users/views.py | elvinaqa/Amazon-Review-Analyzer-Summarizer-Python-NLP-ML- | 6c70e84ffbcb8c8fd65a7fe0847e1f0eb779f759 | [
"Unlicense"
] | null | null | null | users/views.py | elvinaqa/Amazon-Review-Analyzer-Summarizer-Python-NLP-ML- | 6c70e84ffbcb8c8fd65a7fe0847e1f0eb779f759 | [
"Unlicense"
] | null | null | null | from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from .forms import UserRegisterForm, UserUpdateForm, ProfileUpdateForm
#####################################################################
from django.http import HttpResponse
fr... | 38.463415 | 88 | 0.642676 | 354 | 3,154 | 5.562147 | 0.30226 | 0.055866 | 0.043169 | 0.048756 | 0.068055 | 0.041646 | 0 | 0 | 0 | 0 | 0 | 0.005848 | 0.240964 | 3,154 | 81 | 89 | 38.938272 | 0.816625 | 0.007292 | 0 | 0.098592 | 0 | 0 | 0.089216 | 0.026144 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042254 | false | 0 | 0.197183 | 0 | 0.323944 | 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 |
c9098d28bd2a0a51fc33c4cd5fecc41dc7fc38ec | 2,196 | py | Python | stats/monitor.py | pawankaushal/crossbar-examples | b6e0cc321bad020045c4fafec091f78abd938618 | [
"Apache-2.0"
] | 97 | 2016-12-14T16:48:49.000Z | 2021-09-12T17:48:10.000Z | stats/monitor.py | pawankaushal/crossbar-examples | b6e0cc321bad020045c4fafec091f78abd938618 | [
"Apache-2.0"
] | 38 | 2016-12-13T09:42:38.000Z | 2020-07-05T11:58:07.000Z | stats/monitor.py | pawankaushal/crossbar-examples | b6e0cc321bad020045c4fafec091f78abd938618 | [
"Apache-2.0"
] | 118 | 2016-12-12T21:36:40.000Z | 2021-11-17T11:49:33.000Z | import argparse
from pprint import pformat
import txaio
txaio.use_twisted()
from autobahn.twisted.wamp import ApplicationSession, ApplicationRunner
class ClientSession(ApplicationSession):
async def onJoin(self, details):
print('MONITOR session joined: {}'.format(details))
xbr_config = self.co... | 31.826087 | 89 | 0.583789 | 234 | 2,196 | 5.282051 | 0.337607 | 0.090615 | 0.048544 | 0.043689 | 0.223301 | 0.058252 | 0 | 0 | 0 | 0 | 0 | 0.006382 | 0.28643 | 2,196 | 68 | 90 | 32.294118 | 0.782387 | 0.031421 | 0 | 0.044444 | 0 | 0 | 0.206118 | 0.071529 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.088889 | 0 | 0.177778 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c90c7861eaff4add66e4d61ef78a76a073959d73 | 29,349 | py | Python | spirou/sandbox/fits2ramp.py | clairem789/apero-utils | 68ed0136a36b6badeaf15eb20d673052ad79a949 | [
"MIT"
] | 2 | 2020-10-08T17:03:45.000Z | 2021-03-09T17:49:44.000Z | spirou/sandbox/fits2ramp.py | clairem789/apero-utils | 68ed0136a36b6badeaf15eb20d673052ad79a949 | [
"MIT"
] | 17 | 2020-09-24T17:35:38.000Z | 2020-12-11T16:10:13.000Z | spirou/sandbox/fits2ramp.py | clairem789/apero-utils | 68ed0136a36b6badeaf15eb20d673052ad79a949 | [
"MIT"
] | 5 | 2020-04-10T06:41:00.000Z | 2020-12-16T21:09:14.000Z | #!/usr/bin/env python2.7
# Version date : Aug 21, 2018
#
# --> very minor correction compared to previous version. As keywords may change in files through time, when we delete
# a keyword, we first check if the keyword is preseent rather than "blindly" deleting it
# --> also corrected integer vs float divisions in ... | 40.20411 | 225 | 0.665474 | 4,689 | 29,349 | 4.137983 | 0.182981 | 0.007731 | 0.011751 | 0.015771 | 0.149925 | 0.102561 | 0.072772 | 0.058857 | 0.027625 | 0.027625 | 0 | 0.024119 | 0.213125 | 29,349 | 729 | 226 | 40.259259 | 0.816056 | 0.461958 | 0 | 0.185864 | 0 | 0 | 0.257759 | 0.002402 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007853 | false | 0.002618 | 0.026178 | 0 | 0.034031 | 0.225131 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c912b5b1a08a02d640553311c19b5c840ef97729 | 4,651 | py | Python | web_app/api_service.py | shayan-taheri/sql_python_deep_learning | ceb2c41bcb1fed193080f64ba4da018d76166222 | [
"MIT"
] | 23 | 2017-11-29T17:33:30.000Z | 2021-10-15T14:51:12.000Z | web_app/api_service.py | shayan-taheri/sql_python_deep_learning | ceb2c41bcb1fed193080f64ba4da018d76166222 | [
"MIT"
] | 1 | 2017-10-12T11:23:08.000Z | 2017-10-12T11:23:08.000Z | web_app/api_service.py | isabella232/sql_python_deep_learning | ceb2c41bcb1fed193080f64ba4da018d76166222 | [
"MIT"
] | 16 | 2017-12-21T08:55:09.000Z | 2021-03-21T20:17:40.000Z | from api import app, BAD_PARAM, STATUS_OK, BAD_REQUEST
from flask import request, jsonify, abort, make_response,render_template, json
import sys
from lung_cancer.connection_settings import get_connection_string, TABLE_SCAN_IMAGES, TABLE_GIF, TABLE_MODEL, TABLE_FEATURES, LIGHTGBM_MODEL_NAME, DATABASE_NAME,NUMBER_PATIEN... | 33.221429 | 176 | 0.723285 | 598 | 4,651 | 5.301003 | 0.255853 | 0.155205 | 0.033123 | 0.0347 | 0.334385 | 0.295899 | 0.24511 | 0.24511 | 0.24511 | 0.204416 | 0 | 0.007299 | 0.175231 | 4,651 | 140 | 177 | 33.221429 | 0.819082 | 0.045367 | 0 | 0.176471 | 0 | 0 | 0.138989 | 0.015794 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107843 | false | 0 | 0.078431 | 0 | 0.294118 | 0.019608 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
c9144a2b1a0cbf40a3d765da71a5f9435588a292 | 335 | py | Python | 10-blood/scripts/bloodMeasure.py | antl-mipt-ru/get | c914bd16131639e1af4452ae7351f2554ef83ce9 | [
"MIT"
] | null | null | null | 10-blood/scripts/bloodMeasure.py | antl-mipt-ru/get | c914bd16131639e1af4452ae7351f2554ef83ce9 | [
"MIT"
] | null | null | null | 10-blood/scripts/bloodMeasure.py | antl-mipt-ru/get | c914bd16131639e1af4452ae7351f2554ef83ce9 | [
"MIT"
] | 1 | 2021-10-11T16:24:32.000Z | 2021-10-11T16:24:32.000Z | import bloodFunctions as blood
import time
try:
samples = []
blood.initSpiAdc()
start = time.time()
while (time.time() - start) < 60:
samples.append(blood.getAdc())
finish = time.time()
blood.deinitSpiAdc()
blood.save(samples, start, finish)
finally:
print("Blood measure sc... | 17.631579 | 42 | 0.641791 | 38 | 335 | 5.657895 | 0.552632 | 0.111628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007782 | 0.232836 | 335 | 19 | 42 | 17.631579 | 0.828794 | 0 | 0 | 0 | 0 | 0 | 0.08631 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |