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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
296f3e0d144e44aa8925c39df61ed0e143aa64d0 | 1,577 | py | Python | clickhouse_driver/compression/zstd.py | risicle/clickhouse-driver | d36569f52d3e62ad2e275b1d63ad79b75a06402d | [
"MIT"
] | 17 | 2019-12-19T13:37:14.000Z | 2022-03-30T15:43:12.000Z | clickhouse_driver/compression/zstd.py | risicle/clickhouse-driver | d36569f52d3e62ad2e275b1d63ad79b75a06402d | [
"MIT"
] | null | null | null | clickhouse_driver/compression/zstd.py | risicle/clickhouse-driver | d36569f52d3e62ad2e275b1d63ad79b75a06402d | [
"MIT"
] | 4 | 2019-05-15T14:58:05.000Z | 2021-10-14T03:24:12.000Z | from __future__ import absolute_import
from io import BytesIO
import zstd
from .base import BaseCompressor, BaseDecompressor
from ..protocol import CompressionMethod, CompressionMethodByte
from ..reader import read_binary_uint32
from ..writer import write_binary_uint32, write_binary_uint8
class Compressor(BaseCompr... | 30.326923 | 66 | 0.723526 | 179 | 1,577 | 6.055866 | 0.268156 | 0.066421 | 0.062731 | 0.060886 | 0.125461 | 0.125461 | 0.125461 | 0.125461 | 0.125461 | 0 | 0 | 0.014388 | 0.206722 | 1,577 | 51 | 67 | 30.921569 | 0.852118 | 0.003171 | 0 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.205882 | 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 |
2970d64cd60442ad64c58f0629d552521a791dbc | 967 | py | Python | spyder/utils/tests/test_environ.py | Nicztin/spyder | 1c7b2232d2abbf1e101a1e2ab0552b32e8472bd6 | [
"MIT"
] | 1 | 2019-09-25T15:08:24.000Z | 2019-09-25T15:08:24.000Z | spyder/utils/tests/test_environ.py | jorgeps86/spyder | 1c7b2232d2abbf1e101a1e2ab0552b32e8472bd6 | [
"MIT"
] | null | null | null | spyder/utils/tests/test_environ.py | jorgeps86/spyder | 1c7b2232d2abbf1e101a1e2ab0552b32e8472bd6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright © Spyder Project Contributors
# Licensed under the terms of the MIT License
#
"""
Tests for environ.py
"""
# Standard library imports
import os
# Test library imports
import pytest
# Third party imports
from qtpy.QtCore import QTimer
# Local imports
from spyder.utils.test impo... | 20.574468 | 72 | 0.713547 | 120 | 967 | 5.616667 | 0.508333 | 0.077151 | 0.066766 | 0.086053 | 0.083086 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006452 | 0.198552 | 967 | 46 | 73 | 21.021739 | 0.861935 | 0.323681 | 0 | 0 | 0 | 0 | 0.108571 | 0 | 0 | 0 | 0 | 0 | 0.047619 | 1 | 0.095238 | 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 |
2970ef8fae53d89f446cb52a1542393d10955b37 | 4,680 | py | Python | comsole.py | MumuNiMochii/Dumb_Dump | ee431c934a591bc0868792601f5844615f869af1 | [
"MIT"
] | 1 | 2020-09-21T01:56:41.000Z | 2020-09-21T01:56:41.000Z | comsole.py | MumuNiMochii/Dumb_Dump | ee431c934a591bc0868792601f5844615f869af1 | [
"MIT"
] | null | null | null | comsole.py | MumuNiMochii/Dumb_Dump | ee431c934a591bc0868792601f5844615f869af1 | [
"MIT"
] | 1 | 2020-10-09T01:09:20.000Z | 2020-10-09T01:09:20.000Z | import math
def main():
print("""
\tComsole by MumuNiMochii version beta 1.6.23
\t\"Originally made with C\"
\tMAIN MENU
\tWhat do you want to execute and evaluate?
\t1.) Add two addends
\t2.) Subtract a minuend from its subtrahend
\t3.) Multiply a multiplicand to its multiplier
\t4.) Divide a dividend to its... | 38.04878 | 121 | 0.47906 | 637 | 4,680 | 3.519623 | 0.232339 | 0.023194 | 0.042819 | 0.046387 | 0.504014 | 0.454505 | 0.40678 | 0.321588 | 0.291704 | 0.263158 | 0 | 0.021318 | 0.348504 | 4,680 | 122 | 122 | 38.360656 | 0.714005 | 0 | 0 | 0.194915 | 0 | 0 | 0.401709 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09322 | false | 0 | 0.008475 | 0 | 0.101695 | 0.228814 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2971ec9257acdac3ee8d9c3bae4d48e78eefdf76 | 3,485 | py | Python | test/test_discussions.py | fibasile/ticket-gateway | 811a216281a17150adca3edf691f9cf5a1478d2f | [
"MIT"
] | null | null | null | test/test_discussions.py | fibasile/ticket-gateway | 811a216281a17150adca3edf691f9cf5a1478d2f | [
"MIT"
] | null | null | null | test/test_discussions.py | fibasile/ticket-gateway | 811a216281a17150adca3edf691f9cf5a1478d2f | [
"MIT"
] | null | null | null | import unittest
import json
from server import server
from models.abc import db
from repositories import ChannelRepository, GitlabProvider
from unittest.mock import MagicMock, Mock
# from flask import make_response
# from flask.json import jsonify
from util import test_client
class TestDiscussions(unittest.TestCase)... | 37.880435 | 79 | 0.63759 | 335 | 3,485 | 6.498507 | 0.256716 | 0.025723 | 0.030317 | 0.04961 | 0.344051 | 0.317409 | 0.317409 | 0.269178 | 0.248048 | 0.226918 | 0 | 0.016098 | 0.251363 | 3,485 | 91 | 80 | 38.296703 | 0.818321 | 0.090387 | 0 | 0.194444 | 0 | 0 | 0.155286 | 0.060407 | 0 | 0 | 0 | 0 | 0.097222 | 1 | 0.083333 | false | 0 | 0.097222 | 0 | 0.194444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29726a4c7ce2a690926dd277befe7e4b116e0d83 | 24,943 | py | Python | cogs/music.py | ETJeanMachine/Pouty-Bot-Discord | 9b005e43885db2e066d525449e05c7eb5d03cd23 | [
"MIT"
] | null | null | null | cogs/music.py | ETJeanMachine/Pouty-Bot-Discord | 9b005e43885db2e066d525449e05c7eb5d03cd23 | [
"MIT"
] | null | null | null | cogs/music.py | ETJeanMachine/Pouty-Bot-Discord | 9b005e43885db2e066d525449e05c7eb5d03cd23 | [
"MIT"
] | null | null | null | """
This is an example cog that shows how you would make use of Lavalink.py.
This example cog requires that you have python 3.6 or higher due to the
f-strings.
"""
import math
import re
import discord
import lavalink
from discord.ext import commands
from discord.ext import menus
from .utils import checks
... | 41.092257 | 161 | 0.583611 | 3,009 | 24,943 | 4.747424 | 0.133932 | 0.022961 | 0.028561 | 0.026881 | 0.545887 | 0.495975 | 0.455023 | 0.40756 | 0.39664 | 0.39006 | 0 | 0.005018 | 0.304975 | 24,943 | 606 | 162 | 41.160066 | 0.818355 | 0.024536 | 0 | 0.447894 | 0 | 0.015521 | 0.144104 | 0.022052 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019956 | false | 0.013304 | 0.022173 | 0 | 0.124169 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297530f3746153e98984e1af10f206c3aa39875c | 17,856 | py | Python | old_metrics/bleu.py | Danial-Alh/fast-bleu | d8726ae829b2cc275192e70819ee9c60c9d4bed6 | [
"MIT"
] | 21 | 2020-08-09T12:06:58.000Z | 2022-02-13T19:15:11.000Z | old_metrics/bleu.py | Danial-Alh/FastBLEU | 182584a6593aa36d57b15705da6f317bdb06f83e | [
"MIT"
] | 4 | 2020-08-11T22:00:40.000Z | 2021-09-01T07:35:52.000Z | old_metrics/bleu.py | Danial-Alh/FastBLEU | 182584a6593aa36d57b15705da6f317bdb06f83e | [
"MIT"
] | 2 | 2020-08-12T14:49:18.000Z | 2021-06-25T12:51:42.000Z | import math
import os
from collections import Counter
from fractions import Fraction
import numpy as np
from nltk import ngrams
from nltk.translate.bleu_score import SmoothingFunction
from .utils import get_ngrams, Threader
def corpus_bleu(references,
hypothesis,
reference_max_counts... | 44.19802 | 115 | 0.620128 | 2,223 | 17,856 | 4.843455 | 0.185335 | 0.019504 | 0.025355 | 0.011145 | 0.343921 | 0.293582 | 0.239621 | 0.21538 | 0.192718 | 0.182316 | 0 | 0.020304 | 0.25252 | 17,856 | 403 | 116 | 44.307692 | 0.786394 | 0.650818 | 0 | 0.043478 | 0 | 0 | 0.016457 | 0 | 0 | 0 | 0 | 0 | 0.017391 | 1 | 0.086957 | false | 0 | 0.069565 | 0.017391 | 0.278261 | 0.026087 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2975d99cfa9a3c77e63e816ac890c17807b18244 | 1,880 | py | Python | setup.py | gspracklin/bwtools | 08159b86738fed978ef442a60032cf8b00b5635a | [
"MIT"
] | 4 | 2021-07-23T02:49:54.000Z | 2022-03-22T19:56:13.000Z | setup.py | gspracklin/bwtools | 08159b86738fed978ef442a60032cf8b00b5635a | [
"MIT"
] | 1 | 2020-08-24T19:03:46.000Z | 2020-08-24T19:03:46.000Z | setup.py | gspracklin/bwtools | 08159b86738fed978ef442a60032cf8b00b5635a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import io
import os
import re
from setuptools import setup, find_packages
# classifiers = """\
# Development Status :: 4 - Beta
# Programming Language :: Python
# Programming Language :: Python :: 3
# Programming Language :: Python :: 3.4
# Programming... | 24.736842 | 74 | 0.623404 | 217 | 1,880 | 5.230415 | 0.488479 | 0.117181 | 0.154185 | 0.137445 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010232 | 0.220213 | 1,880 | 76 | 75 | 24.736842 | 0.763984 | 0.238298 | 0 | 0 | 0 | 0 | 0.189437 | 0.014789 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0 | 0.085106 | 0.021277 | 0.255319 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297664fa1ad9becfe5e46a57677c012794d49c7e | 697 | py | Python | gui/window.py | frlnx/melee | db2670453771c6d3635e97e28bb8667b14643b05 | [
"CC0-1.0"
] | null | null | null | gui/window.py | frlnx/melee | db2670453771c6d3635e97e28bb8667b14643b05 | [
"CC0-1.0"
] | null | null | null | gui/window.py | frlnx/melee | db2670453771c6d3635e97e28bb8667b14643b05 | [
"CC0-1.0"
] | null | null | null | from pyglet.window import Window as PygletWindow
from .controllers import ComponentContainerController
from .models.container import ComponentContainerModel
from .views import OrthoViewport
class Window(PygletWindow):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._m... | 30.304348 | 80 | 0.714491 | 75 | 697 | 6.373333 | 0.44 | 0.094142 | 0.054393 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003527 | 0.186514 | 697 | 22 | 81 | 31.681818 | 0.839506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297a9dbff855963c67a53faea767533cf768f0af | 2,073 | py | Python | compiler/python_compiler/engines/py3_8/Variable.py | unknowncoder05/app-architect | 083278e1386562797614f320649ca85d1c44e009 | [
"MIT"
] | 3 | 2021-08-12T12:59:27.000Z | 2021-08-29T15:30:49.000Z | compiler/python_compiler/engines/py3_8/Variable.py | unknowncoder05/app-architect | 083278e1386562797614f320649ca85d1c44e009 | [
"MIT"
] | null | null | null | compiler/python_compiler/engines/py3_8/Variable.py | unknowncoder05/app-architect | 083278e1386562797614f320649ca85d1c44e009 | [
"MIT"
] | null | null | null | from .Fragment import Fragment
from utils.flags import *
from utils.CustomLogging import CustomLogging
#from python_compiler.engines.utils.types import get_python_type_str, ANY
DEFAULT_ASSIGN_OPERATOR = "="
ASSIGN_OPERATORS = {
"=":"=",
"+=":"+=",
"-=":"-=",
"*=":"*=",
"/=":"/=",
"//=":"//=",
... | 33.983607 | 116 | 0.675832 | 222 | 2,073 | 5.981982 | 0.184685 | 0.115964 | 0.099398 | 0.048193 | 0.213855 | 0.141566 | 0.088855 | 0.088855 | 0 | 0 | 0 | 0 | 0.178485 | 2,073 | 61 | 117 | 33.983607 | 0.7798 | 0.034732 | 0 | 0 | 0 | 0 | 0.143928 | 0.056472 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.057692 | 0 | 0.365385 | 0.115385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297bd9ae840483948b9e83e2e47fb15cc768315a | 37,440 | py | Python | Lib/site-packages/qwt/scale_draw.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | null | null | null | Lib/site-packages/qwt/scale_draw.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | 20 | 2021-05-03T18:02:23.000Z | 2022-03-12T12:01:04.000Z | Lib/site-packages/qwt/scale_draw.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Licensed under the terms of the Qwt License
# Copyright (c) 2002 Uwe Rathmann, for the original C++ code
# Copyright (c) 2015 Pierre Raybaut, for the Python translation/optimization
# (see LICENSE file for more details)
"""
QwtAbstractScaleDraw
--------------------
.. autoclass:: QwtAbstra... | 30.967742 | 130 | 0.559161 | 4,035 | 37,440 | 5.131103 | 0.126146 | 0.023184 | 0.022604 | 0.008694 | 0.402338 | 0.336505 | 0.272701 | 0.240099 | 0.221938 | 0.211891 | 0 | 0.009263 | 0.342548 | 37,440 | 1,208 | 131 | 30.993377 | 0.831851 | 0.375347 | 0 | 0.305263 | 0 | 0 | 0.006836 | 0 | 0 | 0 | 0.000626 | 0 | 0 | 1 | 0.122105 | false | 0.006316 | 0.016842 | 0 | 0.252632 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297beccf46f124350d5429aa7d77baa3ba0a7320 | 3,524 | py | Python | fuzzers/LIFCL/090-sysconfig/fuzzer.py | mfkiwl/prjoxide | 318331f8b30c2e2a31cc41d51f104b671e180a8a | [
"0BSD"
] | 80 | 2019-12-10T21:06:12.000Z | 2021-02-06T09:12:37.000Z | fuzzers/LIFCL/090-sysconfig/fuzzer.py | mfkiwl/prjoxide | 318331f8b30c2e2a31cc41d51f104b671e180a8a | [
"0BSD"
] | 13 | 2021-03-18T12:59:25.000Z | 2022-03-30T11:35:51.000Z | fuzzers/LIFCL/090-sysconfig/fuzzer.py | mfkiwl/prjoxide | 318331f8b30c2e2a31cc41d51f104b671e180a8a | [
"0BSD"
] | 4 | 2020-10-04T22:23:15.000Z | 2021-01-29T21:51:25.000Z | from fuzzconfig import FuzzConfig
import nonrouting
import fuzzloops
import re
cfgs = [
FuzzConfig(job="SYSCONFIG40", device="LIFCL-40", sv="../shared/empty_40.v",
tiles=["CIB_R0C75:EFB_0", "CIB_R0C72:BANKREF0", "CIB_R0C77:EFB_1_OSC", "CIB_R0C79:EFB_2",
"CIB_R0C81:I2C_EFB_3", "CIB_R0C85:PMU", "CIB_... | 61.824561 | 117 | 0.557605 | 398 | 3,524 | 4.648241 | 0.268844 | 0.043784 | 0.077838 | 0.108108 | 0.610811 | 0.608108 | 0.608108 | 0.514054 | 0.472973 | 0.351351 | 0 | 0.041946 | 0.323496 | 3,524 | 56 | 118 | 62.928571 | 0.73406 | 0 | 0 | 0.148148 | 0 | 0 | 0.323496 | 0.061294 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 0.018519 | 0.12963 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297cf3d7631c7db955fd11e56c685c2b4f84aac0 | 1,254 | py | Python | tests/test_base64_uuid.py | cds-snc/notifier-utils | c3a205ac4381312fe1884a39ffafa7ffb862736f | [
"MIT"
] | 3 | 2020-04-29T17:13:43.000Z | 2020-12-04T21:08:33.000Z | tests/test_base64_uuid.py | cds-snc/notifier-utils | c3a205ac4381312fe1884a39ffafa7ffb862736f | [
"MIT"
] | 21 | 2020-04-16T12:29:46.000Z | 2022-02-28T17:17:15.000Z | tests/test_base64_uuid.py | cds-snc/notifier-utils | c3a205ac4381312fe1884a39ffafa7ffb862736f | [
"MIT"
] | 4 | 2020-02-21T20:20:00.000Z | 2021-02-11T19:00:59.000Z | from uuid import UUID
import os
import pytest
from notifications_utils.base64_uuid import base64_to_uuid, uuid_to_base64, base64_to_bytes, bytes_to_base64
def test_bytes_to_base64_to_bytes():
b = os.urandom(32)
b64 = bytes_to_base64(b)
assert base64_to_bytes(b64) == b
@pytest.mark.parametrize(
"url... | 27.26087 | 117 | 0.739234 | 177 | 1,254 | 4.841808 | 0.338983 | 0.056009 | 0.060677 | 0.102684 | 0.23804 | 0.133022 | 0 | 0 | 0 | 0 | 0 | 0.070543 | 0.163477 | 1,254 | 45 | 118 | 27.866667 | 0.743565 | 0.062998 | 0 | 0.235294 | 0 | 0 | 0.189258 | 0.168798 | 0 | 0 | 0 | 0 | 0.088235 | 1 | 0.147059 | false | 0 | 0.117647 | 0 | 0.264706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297d3ac09c9100be856d7c8b2496765760397058 | 3,571 | py | Python | homeassistant/components/devolo_home_control/__init__.py | dummys/home-assistant | dd908caebade15adf061fade686355b94ed2f43a | [
"Apache-2.0"
] | 11 | 2018-02-16T15:35:47.000Z | 2020-01-14T15:20:00.000Z | homeassistant/components/devolo_home_control/__init__.py | dummys/home-assistant | dd908caebade15adf061fade686355b94ed2f43a | [
"Apache-2.0"
] | 64 | 2020-10-01T06:39:48.000Z | 2022-03-31T06:02:17.000Z | homeassistant/components/devolo_home_control/__init__.py | dummys/home-assistant | dd908caebade15adf061fade686355b94ed2f43a | [
"Apache-2.0"
] | 6 | 2018-02-04T03:48:55.000Z | 2022-01-24T20:37:04.000Z | """The devolo_home_control integration."""
from __future__ import annotations
import asyncio
from functools import partial
from types import MappingProxyType
from typing import Any
from devolo_home_control_api.exceptions.gateway import GatewayOfflineError
from devolo_home_control_api.homecontrol import HomeControl
fr... | 35.009804 | 86 | 0.711845 | 407 | 3,571 | 6.002457 | 0.257985 | 0.026197 | 0.040115 | 0.04912 | 0.240278 | 0.201392 | 0.155546 | 0.068768 | 0.037659 | 0.037659 | 0 | 0 | 0.209745 | 3,571 | 101 | 87 | 35.356436 | 0.865698 | 0.028843 | 0 | 0 | 0 | 0 | 0.03435 | 0.007699 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026667 | false | 0.026667 | 0.186667 | 0 | 0.253333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
297d9c0aeb9cbc7ee91fb0bd8b0450dda847eca4 | 1,199 | py | Python | trab1/hillClimbing.py | RafaelPedruzzi/IA-2019-2 | 7d99a8f02ec826403bd48c6eba574d802e558c36 | [
"MIT"
] | null | null | null | trab1/hillClimbing.py | RafaelPedruzzi/IA-2019-2 | 7d99a8f02ec826403bd48c6eba574d802e558c36 | [
"MIT"
] | null | null | null | trab1/hillClimbing.py | RafaelPedruzzi/IA-2019-2 | 7d99a8f02ec826403bd48c6eba574d802e558c36 | [
"MIT"
] | null | null | null | ## -------------------------------------------------------- ##
# Trab 1 IA 2019-2
#
# Rafael Belmock Pedruzzi
#
# hillClimbing.py: implements the hill climbing metaheuristic for the bag problem
#
# Python version: 3.7.4
## -------------------------------------------------------- ##
import bagProblem as bp
from... | 28.547619 | 89 | 0.533778 | 168 | 1,199 | 3.767857 | 0.470238 | 0.039494 | 0.041074 | 0.053712 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023702 | 0.261051 | 1,199 | 41 | 90 | 29.243902 | 0.690745 | 0.466222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.086957 | 0 | 0.304348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
298195d9b4f163d34048ccfa931e4a45670c98bc | 15,195 | py | Python | sklearn_extra/cluster/_k_medoids.py | chkoar/scikit-learn-extra | 9e62f1ac18b40f444009db9f6557196ddc6c5e86 | [
"BSD-3-Clause"
] | 1 | 2019-08-27T01:10:48.000Z | 2019-08-27T01:10:48.000Z | sklearn_extra/cluster/_k_medoids.py | KonstantinKlepikov/scikit-learn-extra | 12fb111acdfa7aada0ed29f53b9b92c44d8de7c3 | [
"BSD-3-Clause"
] | null | null | null | sklearn_extra/cluster/_k_medoids.py | KonstantinKlepikov/scikit-learn-extra | 12fb111acdfa7aada0ed29f53b9b92c44d8de7c3 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""K-medoids clustering"""
# Authors: Timo Erkkilä <timo.erkkila@gmail.com>
# Antti Lehmussola <antti.lehmussola@gmail.com>
# Kornel Kiełczewski <kornel.mail@gmail.com>
# Zane Dufour <zane.dufour@gmail.com>
# License: BSD 3 clause
import warnings
import numpy as np
... | 35.173611 | 83 | 0.596249 | 1,844 | 15,195 | 4.736443 | 0.22397 | 0.030914 | 0.011335 | 0.012022 | 0.13957 | 0.111747 | 0.0861 | 0.078086 | 0.056103 | 0.056103 | 0 | 0.007696 | 0.315893 | 15,195 | 431 | 84 | 35.25522 | 0.832323 | 0.444357 | 0 | 0.127907 | 0 | 0 | 0.080989 | 0.005128 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05814 | false | 0 | 0.046512 | 0 | 0.156977 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29843af5e308c3a6a1b810c3658616edbb2840d2 | 2,234 | py | Python | config/synthia_rand_cityscapes.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | config/synthia_rand_cityscapes.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | config/synthia_rand_cityscapes.py | BarracudaPff/code-golf-data-pythpn | 42e8858c2ebc6a061012bcadb167d29cebb85c5e | [
"MIT"
] | null | null | null | problem_type = "segmentation"
dataset_name = "synthia_rand_cityscapes"
dataset_name2 = None
perc_mb2 = None
model_name = "resnetFCN"
freeze_layers_from = None
show_model = False
load_imageNet = True
load_pretrained = False
weights_file = "weights.hdf5"
train_model = True
test_model = True
pred_model = False
debug = Tru... | 24.822222 | 42 | 0.821844 | 339 | 2,234 | 4.982301 | 0.371681 | 0.007105 | 0.011841 | 0.021314 | 0.024867 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041752 | 0.120859 | 2,234 | 90 | 43 | 24.822222 | 0.818228 | 0 | 0 | 0 | 0 | 0 | 0.048322 | 0.010291 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
461e4085634d8de9c3e950613c2eaf835255268d | 5,590 | py | Python | spades/main.py | kuwv/spades | 9c36eff2c8fe2e4acc69a317d0c58bb8e1c2373f | [
"Apache-2.0"
] | null | null | null | spades/main.py | kuwv/spades | 9c36eff2c8fe2e4acc69a317d0c58bb8e1c2373f | [
"Apache-2.0"
] | null | null | null | spades/main.py | kuwv/spades | 9c36eff2c8fe2e4acc69a317d0c58bb8e1c2373f | [
"Apache-2.0"
] | null | null | null | '''Provide interface for game.'''
from typing import Any, Dict, List, Optional, Union
import flask
from flask import Blueprint, url_for
from flask_login import current_user, login_required
from flask_wtf import FlaskForm
from flask_sse import sse
from werkzeug.wrappers import Response
from wtforms import IntegerField... | 31.055556 | 78 | 0.617352 | 646 | 5,590 | 5.095975 | 0.208978 | 0.03949 | 0.027643 | 0.045565 | 0.27582 | 0.218105 | 0.175273 | 0.096598 | 0.058323 | 0 | 0 | 0.000725 | 0.259928 | 5,590 | 179 | 79 | 31.22905 | 0.795021 | 0.1 | 0 | 0.19708 | 0 | 0 | 0.083066 | 0 | 0 | 0 | 0 | 0.005587 | 0 | 1 | 0.058394 | false | 0 | 0.080292 | 0 | 0.270073 | 0.109489 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46209cb73578b98d96c50b38e0aa7cf17f602e19 | 2,404 | py | Python | modin/engines/base/io/column_stores/feather_dispatcher.py | webclinic017/modin | 6e38ae4f459660460d07e7d93fe1dda4ad9214cd | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-10-11T08:52:27.000Z | 2021-10-11T08:52:27.000Z | modin/engines/base/io/column_stores/feather_dispatcher.py | todd-yu/modin | f284bb3cfd6e53b468da09efd6edc32bafd10689 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | modin/engines/base/io/column_stores/feather_dispatcher.py | todd-yu/modin | f284bb3cfd6e53b468da09efd6edc32bafd10689 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Licensed to Modin Development Team under one or more contributor license agreements.
# See the NOTICE file distributed with this work for additional information regarding
# copyright ownership. The Modin Development Team licenses this file to you under the
# Apache License, Version 2.0 (the "License"); you may not u... | 38.774194 | 89 | 0.688852 | 306 | 2,404 | 5.375817 | 0.53268 | 0.036474 | 0.024316 | 0.019453 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002194 | 0.241681 | 2,404 | 61 | 90 | 39.409836 | 0.900165 | 0.707987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4624e2bb70d8902485f3a782d8d8f3f7917f1147 | 5,187 | py | Python | src/data_augmentation.py | pallabganguly/gestures-cnn | 8778760d7a5854a5987d24d7b8ff30afb216a624 | [
"MIT"
] | 1 | 2018-05-08T15:34:50.000Z | 2018-05-08T15:34:50.000Z | src/data_augmentation.py | pallabganguly/gestures-cnn | 8778760d7a5854a5987d24d7b8ff30afb216a624 | [
"MIT"
] | 9 | 2018-04-25T09:09:08.000Z | 2022-03-11T23:24:27.000Z | src/data_augmentation.py | pallabganguly/gestures-cnn | 8778760d7a5854a5987d24d7b8ff30afb216a624 | [
"MIT"
] | 1 | 2018-06-14T08:44:48.000Z | 2018-06-14T08:44:48.000Z | """
Totally untested file. Will be removed in subsequent commits
"""
import tensorflow as tf
import matplotlib.image as mpimg
import numpy as np
from math import ceil, floor
import os
IMAGE_SIZE = 720
def central_scale_images(X_imgs, scales):
# Various settings needed for Tensorflow operation
boxes = np.zeros... | 39.295455 | 91 | 0.634664 | 798 | 5,187 | 3.899749 | 0.199248 | 0.083869 | 0.053985 | 0.028278 | 0.451478 | 0.363432 | 0.363432 | 0.33162 | 0.318766 | 0.315874 | 0 | 0.041099 | 0.24947 | 5,187 | 131 | 92 | 39.59542 | 0.758284 | 0.085213 | 0 | 0.309091 | 0 | 0 | 0.008672 | 0.008672 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.054545 | 0 | 0.145455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4626c0de5deedd2af689cbda3e1e357bed965d98 | 4,909 | py | Python | cutde/opencl.py | brendanjmeade/cutde | 8d9c01ab7e6073e8a8a45af927644c9b676e5ec6 | [
"CNRI-Python"
] | 1 | 2021-04-23T21:07:29.000Z | 2021-04-23T21:07:29.000Z | cutde/opencl.py | brendanjmeade/cutde | 8d9c01ab7e6073e8a8a45af927644c9b676e5ec6 | [
"CNRI-Python"
] | null | null | null | cutde/opencl.py | brendanjmeade/cutde | 8d9c01ab7e6073e8a8a45af927644c9b676e5ec6 | [
"CNRI-Python"
] | null | null | null | import logging
import warnings
import pyopencl
import pyopencl.array
logger = logging.getLogger(__name__)
gpu_initialized = False
gpu_ctx = None
gpu_queue = None
def report_devices(ctx):
device_names = [d.name for d in ctx.devices]
logger.info("initializing opencl context with devices = " + str(device_name... | 27.734463 | 88 | 0.66266 | 637 | 4,909 | 4.874411 | 0.302983 | 0.031884 | 0.014171 | 0.024155 | 0.226087 | 0.188728 | 0.172625 | 0.172625 | 0.172625 | 0.11401 | 0 | 0.003537 | 0.251375 | 4,909 | 176 | 89 | 27.892045 | 0.841361 | 0.06152 | 0 | 0.132813 | 0 | 0 | 0.283344 | 0.012443 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101563 | false | 0 | 0.03125 | 0.007813 | 0.242188 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4627027be2fa84a4ea17d7c6b65cd28da93acd06 | 8,265 | py | Python | phase-iii-client/services/aureas/views.py | williamegomez/AUREAS | 06f5bda347481628ba2a08a854b76151a59d6e66 | [
"MIT"
] | 5 | 2019-02-12T18:46:40.000Z | 2019-02-24T15:24:43.000Z | phase-iii-client/services/aureas/views.py | williamegomez/AUREAS | 06f5bda347481628ba2a08a854b76151a59d6e66 | [
"MIT"
] | null | null | null | phase-iii-client/services/aureas/views.py | williamegomez/AUREAS | 06f5bda347481628ba2a08a854b76151a59d6e66 | [
"MIT"
] | 1 | 2019-11-29T02:28:09.000Z | 2019-11-29T02:28:09.000Z | from django.http import HttpResponse
from rest_framework.decorators import api_view
from rest_framework.decorators import parser_classes
from rest_framework.parsers import JSONParser
import numpy as np
import json
import os
from .utils.spectrogram_utils import SpectrogramUtils
from .utils.feature_extraction_utils impor... | 36.409692 | 194 | 0.580762 | 878 | 8,265 | 5.257403 | 0.161731 | 0.025347 | 0.02578 | 0.025997 | 0.582322 | 0.534445 | 0.525347 | 0.50325 | 0.485485 | 0.474653 | 0 | 0.007043 | 0.295705 | 8,265 | 226 | 195 | 36.570796 | 0.785947 | 0 | 0 | 0.529412 | 0 | 0 | 0.072595 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026738 | false | 0 | 0.069519 | 0 | 0.122995 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4629ec7d3ad2828b6cef4cc59b99d7273c5fdb56 | 1,416 | py | Python | PyPoll/Homework/main.py | VioletData/python-challenge | 5a59aca85426387db21b0138dfe41aca19aac40d | [
"ADSL"
] | null | null | null | PyPoll/Homework/main.py | VioletData/python-challenge | 5a59aca85426387db21b0138dfe41aca19aac40d | [
"ADSL"
] | null | null | null | PyPoll/Homework/main.py | VioletData/python-challenge | 5a59aca85426387db21b0138dfe41aca19aac40d | [
"ADSL"
] | null | null | null | # Modules
import os
import csv
#Set up path for file
csvpath=os.path.join("..", "Resources", "election_data.csv" )
#print(csvpath)
total_votes=0
#total_profit=0
#previous_value=0
#current_value=0
#list_changes=[]
print("Election Results")
print("---------------------")
#Open the csv file
with open(csvpath, newline=... | 23.6 | 86 | 0.66596 | 187 | 1,416 | 4.893048 | 0.385027 | 0.054645 | 0.04918 | 0.034973 | 0.161749 | 0.06776 | 0 | 0 | 0 | 0 | 0 | 0.011794 | 0.161723 | 1,416 | 59 | 87 | 24 | 0.759056 | 0.550141 | 0 | 0.25 | 0 | 0 | 0.233169 | 0.137931 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
462b42e0c4130840f3bc0cd918b3623bf21c3cd2 | 2,645 | py | Python | cohesity_management_sdk/models/azure_cloud_credentials.py | chandrashekar-cohesity/management-sdk-python | 9e6ec99e8a288005804b808c4e9b19fd204e3a8b | [
"Apache-2.0"
] | 1 | 2021-01-07T20:36:22.000Z | 2021-01-07T20:36:22.000Z | cohesity_management_sdk/models/azure_cloud_credentials.py | chandrashekar-cohesity/management-sdk-python | 9e6ec99e8a288005804b808c4e9b19fd204e3a8b | [
"Apache-2.0"
] | null | null | null | cohesity_management_sdk/models/azure_cloud_credentials.py | chandrashekar-cohesity/management-sdk-python | 9e6ec99e8a288005804b808c4e9b19fd204e3a8b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2019 Cohesity Inc.
class AzureCloudCredentials(object):
"""Implementation of the 'AzureCloudCredentials' model.
Specifies the cloud credentials to connect to a Microsoft
Azure service account.
Attributes:
storage_access_key (string): Specifies the access ... | 35.266667 | 81 | 0.654064 | 297 | 2,645 | 5.686869 | 0.333333 | 0.047365 | 0.066311 | 0.031972 | 0.168739 | 0.14624 | 0.14624 | 0.14624 | 0.14624 | 0.14624 | 0 | 0.005356 | 0.29414 | 2,645 | 74 | 82 | 35.743243 | 0.899304 | 0.57656 | 0 | 0 | 0 | 0 | 0.134635 | 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 |
462c32bbc3b282511e2c46116729931f71fbbf10 | 1,170 | py | Python | scripts/sqlite_firestore_migration.py | namuan/news-rider | 2f8f5204eda717e39ab7d4c048692d5ec2eb5449 | [
"MIT"
] | 5 | 2021-04-26T20:46:30.000Z | 2021-05-03T07:29:31.000Z | scripts/sqlite_firestore_migration.py | namuan/news-rider | 2f8f5204eda717e39ab7d4c048692d5ec2eb5449 | [
"MIT"
] | null | null | null | scripts/sqlite_firestore_migration.py | namuan/news-rider | 2f8f5204eda717e39ab7d4c048692d5ec2eb5449 | [
"MIT"
] | null | null | null | import datetime
import os
import sys
from google.cloud import firestore
from peewee import *
sys.path.append(os.getcwd())
home_dir = os.getenv('HOME')
db_file_path = os.getcwd() + '/../../data/news_rider.db'
print("Reading database from {}".format(db_file_path))
old_db = SqliteDatabase(db_file_path)
class NewsIte... | 23.877551 | 82 | 0.692308 | 161 | 1,170 | 4.782609 | 0.434783 | 0.051948 | 0.038961 | 0.051948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001044 | 0.181197 | 1,170 | 48 | 83 | 24.375 | 0.802714 | 0 | 0 | 0 | 0 | 0 | 0.140171 | 0.021368 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.151515 | 0 | 0.393939 | 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 |
462cfd1b7c44355d2edae99099ee57b431d8d9a4 | 769 | py | Python | km3pipe/utils/rtree.py | kabartay/km3pipe | 491c425486553e8986682d2b0614918dd23cc964 | [
"MIT"
] | 2 | 2017-01-19T17:22:49.000Z | 2020-04-18T14:00:38.000Z | km3pipe/utils/rtree.py | kabartay/km3pipe | 491c425486553e8986682d2b0614918dd23cc964 | [
"MIT"
] | null | null | null | km3pipe/utils/rtree.py | kabartay/km3pipe | 491c425486553e8986682d2b0614918dd23cc964 | [
"MIT"
] | null | null | null | # coding=utf-8
# Filename: h5tree.py
"""
Print the ROOT file structure.
Usage:
rtree FILE
rtree (-h | --help)
rtree --version
Options:
FILE Input file.
-h --help Show this screen.
"""
from __future__ import division, absolute_import, print_function
from km3pipe.io.root import open_rfile
_... | 19.225 | 76 | 0.684005 | 95 | 769 | 5.115789 | 0.610526 | 0.067901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014754 | 0.206762 | 769 | 39 | 77 | 19.717949 | 0.781967 | 0.261378 | 0 | 0 | 0 | 0 | 0.207885 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0 | 0.277778 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
462e9733585d0e06c8930267d52894b75b0d0b14 | 15,952 | py | Python | task_part1_learning.py | till-lu/cit_lcp_2020 | b547185f8be74f57773c3d21ce5e4327b363a2f1 | [
"MIT"
] | null | null | null | task_part1_learning.py | till-lu/cit_lcp_2020 | b547185f8be74f57773c3d21ce5e4327b363a2f1 | [
"MIT"
] | null | null | null | task_part1_learning.py | till-lu/cit_lcp_2020 | b547185f8be74f57773c3d21ce5e4327b363a2f1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
from psychopy.visual import Window, TextStim
from psychopy.core import wait, Clock, quit
from psychopy.event import clearEvents, waitKeys, Mouse
from psychopy.gui import Dlg
from time import... | 44.558659 | 716 | 0.656281 | 2,148 | 15,952 | 4.771881 | 0.273277 | 0.014829 | 0.01639 | 0.007415 | 0.258146 | 0.214829 | 0.199512 | 0.15639 | 0.137171 | 0.100878 | 0 | 0.023463 | 0.241224 | 15,952 | 357 | 717 | 44.683473 | 0.823364 | 0.08256 | 0 | 0.244275 | 0 | 0.049618 | 0.363999 | 0.003165 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068702 | false | 0 | 0.053435 | 0.003817 | 0.141221 | 0.057252 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46305fd7b6fccf0915c23423983bb7ae102bfc08 | 14,209 | py | Python | ansible/venv/lib/python2.7/site-packages/ansible/modules/network/f5/bigip_asm_policy_import.py | gvashchenkolineate/gvashchenkolineate_infra_trytravis | 0fb18850afe0d8609693ba4b23f29c7cda17d97f | [
"MIT"
] | 17 | 2017-06-07T23:15:01.000Z | 2021-08-30T14:32:36.000Z | ansible/ansible/modules/network/f5/bigip_asm_policy_import.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 9 | 2017-06-25T03:31:52.000Z | 2021-05-17T23:43:12.000Z | ansible/ansible/modules/network/f5/bigip_asm_policy_import.py | SergeyCherepanov/ansible | 875711cd2fd6b783c812241c2ed7a954bf6f670f | [
"MIT"
] | 3 | 2018-05-26T21:31:22.000Z | 2019-09-28T17:00:45.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright: (c) 2018, F5 Networks Inc.
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | 29.85084 | 114 | 0.606235 | 1,622 | 14,209 | 5.191122 | 0.192972 | 0.028504 | 0.034204 | 0.038005 | 0.441211 | 0.401544 | 0.380285 | 0.380285 | 0.306176 | 0.269834 | 0 | 0.011901 | 0.290379 | 14,209 | 475 | 115 | 29.913684 | 0.823168 | 0.011683 | 0 | 0.39196 | 0 | 0.007538 | 0.265636 | 0.028565 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045226 | false | 0.020101 | 0.10804 | 0 | 0.226131 | 0.002513 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4630b18f7ea854ba3d4c006459393021a0b26e65 | 322 | py | Python | Firewall/Model/Host.py | frieagle94/firewall | 9dc0357f78f128c0275baabebfef6fdf8ff35a47 | [
"Apache-2.0"
] | null | null | null | Firewall/Model/Host.py | frieagle94/firewall | 9dc0357f78f128c0275baabebfef6fdf8ff35a47 | [
"Apache-2.0"
] | null | null | null | Firewall/Model/Host.py | frieagle94/firewall | 9dc0357f78f128c0275baabebfef6fdf8ff35a47 | [
"Apache-2.0"
] | null | null | null | __author__ = 'Riccardo Frigerio'
'''
Oggetto HOST
Attributi:
- mac_address: indirizzo MAC
- port: porta a cui e' collegato
- dpid: switch a cui e' collegato
'''
class Host(object):
def __init__(self, mac_address, port, dpid):
self.mac_address = mac_address
self.port = port
self.dpid = dpi... | 18.941176 | 48 | 0.667702 | 43 | 322 | 4.72093 | 0.511628 | 0.197044 | 0.049261 | 0.137931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.229814 | 322 | 16 | 49 | 20.125 | 0.818548 | 0 | 0 | 0 | 0 | 0 | 0.087179 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4632248180ce8a33d74a9026c30eef96e40a8172 | 2,466 | py | Python | docker-compose/tweet_collector/tweet_streamer.py | lorenanda/tweets | 926b7a1b33057e57a59dce2d4fc89e7af18962e6 | [
"MIT"
] | 2 | 2021-05-14T19:11:28.000Z | 2021-06-13T23:17:32.000Z | docker-compose/tweet_collector/tweet_streamer.py | lorenanda/tweets | 926b7a1b33057e57a59dce2d4fc89e7af18962e6 | [
"MIT"
] | null | null | null | docker-compose/tweet_collector/tweet_streamer.py | lorenanda/tweets | 926b7a1b33057e57a59dce2d4fc89e7af18962e6 | [
"MIT"
] | 1 | 2022-02-13T10:47:17.000Z | 2022-02-13T10:47:17.000Z | from tweepy import OAuthHandler, Stream, API
from tweepy.streaming import StreamListener
import json
import logging
import pymongo
import config
client = pymongo.MongoClient(host='mongo_container', port=27018)
db = client.tweets_db
auth = OAuthHandler(config.CONSUMER_API_KEY, config.CONSUMER_API_SECRET)
auth.set_acc... | 30.825 | 94 | 0.664234 | 305 | 2,466 | 5.180328 | 0.380328 | 0.041772 | 0.043038 | 0.058228 | 0.198734 | 0.198734 | 0.198734 | 0.198734 | 0.148101 | 0.148101 | 0 | 0.011837 | 0.212084 | 2,466 | 80 | 95 | 30.825 | 0.801338 | 0.201135 | 0 | 0.037736 | 0 | 0 | 0.136433 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113208 | false | 0 | 0.113208 | 0 | 0.301887 | 0.018868 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46325f61280dc8596ca2d94d27452fa3b0d497c6 | 2,028 | py | Python | manage_it/network/models.py | ShangShungInstitute/django-manage-it | 13cb23b57ce3577db7f69250741bcbfe82b69a57 | [
"MIT",
"Unlicense"
] | 1 | 2015-01-20T14:34:32.000Z | 2015-01-20T14:34:32.000Z | manage_it/network/models.py | ShangShungInstitute/django-manage-it | 13cb23b57ce3577db7f69250741bcbfe82b69a57 | [
"MIT",
"Unlicense"
] | null | null | null | manage_it/network/models.py | ShangShungInstitute/django-manage-it | 13cb23b57ce3577db7f69250741bcbfe82b69a57 | [
"MIT",
"Unlicense"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
from assets.models import Item
from catalog.models import Inventory
CONNECTION_TYPES = (
(1, "Ethernet 1Gb"),
(2, "Ethernet 100Mb"),
(3, "WIFI"),
(4, "Optic Fiber"),
(5, "USB"),
(6, "HDMI"),
(7, "Telephone... | 28.971429 | 76 | 0.65927 | 247 | 2,028 | 5.202429 | 0.303644 | 0.063035 | 0.091051 | 0.119066 | 0.456031 | 0.418677 | 0.306615 | 0.183658 | 0.071595 | 0.071595 | 0 | 0.021875 | 0.211045 | 2,028 | 69 | 77 | 29.391304 | 0.78125 | 0.03501 | 0 | 0.156863 | 0 | 0 | 0.077362 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.078431 | 0.058824 | 0.588235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46346da00abc925aef8a81ab9a6362af4ad40b6c | 3,940 | py | Python | software/L1_mpu.py | roy-kruemcke/SCUTTLE-SLMP | c181ba451e5fecdbbfb8ac7c4c2d743526112b11 | [
"MIT"
] | null | null | null | software/L1_mpu.py | roy-kruemcke/SCUTTLE-SLMP | c181ba451e5fecdbbfb8ac7c4c2d743526112b11 | [
"MIT"
] | null | null | null | software/L1_mpu.py | roy-kruemcke/SCUTTLE-SLMP | c181ba451e5fecdbbfb8ac7c4c2d743526112b11 | [
"MIT"
] | null | null | null | # L1_mpu.py
# Author: Roy Kruemcke (roanoake)
# 30 NOV 2021
# Allows for the interfacing to the MPU9250 using the smbus2 i2c module
# Written for use with Raspberry Pi 4 Model B
import smbus2
import numpy as np
import data
import time
# Initialize Register Data
CONFIG = 0x1A
USER_CTRL = 0x6A
PWR_MGMT_1, PWR_MGMT_2 = 0... | 30.542636 | 95 | 0.639848 | 562 | 3,940 | 4.33452 | 0.350534 | 0.022167 | 0.022578 | 0.024631 | 0.152299 | 0.135878 | 0.135878 | 0.135878 | 0.119869 | 0.119869 | 0 | 0.069169 | 0.269797 | 3,940 | 128 | 96 | 30.78125 | 0.777546 | 0.286294 | 0 | 0.078947 | 0 | 0 | 0.070855 | 0 | 0 | 0 | 0.024836 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.052632 | 0 | 0.210526 | 0.092105 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4636fb0bc8542fff3140160b2826c73df03573c5 | 827 | py | Python | op_trans/asgi.py | jezzlucena/django-opp-trans | 05e8b2b91a6c46cd800837ae2b683ec043243742 | [
"MIT"
] | 1 | 2021-03-03T02:22:11.000Z | 2021-03-03T02:22:11.000Z | op_trans/asgi.py | jezzlucena/django-opp-trans | 05e8b2b91a6c46cd800837ae2b683ec043243742 | [
"MIT"
] | null | null | null | op_trans/asgi.py | jezzlucena/django-opp-trans | 05e8b2b91a6c46cd800837ae2b683ec043243742 | [
"MIT"
] | null | null | null | """
ASGI config for op_trans project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
from op_trans.websocket import webs... | 28.517241 | 78 | 0.74607 | 110 | 827 | 5.472727 | 0.545455 | 0.046512 | 0.114618 | 0.134552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002837 | 0.147521 | 827 | 28 | 79 | 29.535714 | 0.851064 | 0.258767 | 0 | 0 | 0 | 0 | 0.155372 | 0.036364 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46385759fc36e37af911b95c5e283c3da2fdcd54 | 3,786 | py | Python | zipline/data/bundles/equities_bundle.py | walterkissling/zipline | 784580ef2271aeaa52d8e526f15c88fbb55b7547 | [
"Apache-2.0"
] | null | null | null | zipline/data/bundles/equities_bundle.py | walterkissling/zipline | 784580ef2271aeaa52d8e526f15c88fbb55b7547 | [
"Apache-2.0"
] | null | null | null | zipline/data/bundles/equities_bundle.py | walterkissling/zipline | 784580ef2271aeaa52d8e526f15c88fbb55b7547 | [
"Apache-2.0"
] | null | null | null | # File to ingest an equities bundle for zipline
# Import libraries
import pandas as pd
import numpy as np
def equities_bundle(path_to_file):
# Define custom ingest function
def ingest(environ,
asset_db_writer,
minute_bar_writer,
daily_bar_writer,
ad... | 38.242424 | 109 | 0.530639 | 414 | 3,786 | 4.676329 | 0.292271 | 0.018595 | 0.022727 | 0.023244 | 0.097624 | 0.067149 | 0.03719 | 0 | 0 | 0 | 0 | 0.013115 | 0.35552 | 3,786 | 99 | 110 | 38.242424 | 0.780328 | 0.143423 | 0 | 0 | 0 | 0 | 0.089612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.032258 | 0 | 0.080645 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46387a117da7cc25b8fd8335919094946b06904f | 343 | py | Python | model/torch_model.py | FernandoLpz/ONNX-PyTorch-TF-Caffe2 | 05aa07b982bd12d2c0d7ce05a94a726b7faaed91 | [
"MIT"
] | 3 | 2020-10-28T03:46:48.000Z | 2021-07-22T06:45:33.000Z | model/torch_model.py | FernandoLpz/ONNX-PyTorch-TF-Caffe2 | 05aa07b982bd12d2c0d7ce05a94a726b7faaed91 | [
"MIT"
] | null | null | null | model/torch_model.py | FernandoLpz/ONNX-PyTorch-TF-Caffe2 | 05aa07b982bd12d2c0d7ce05a94a726b7faaed91 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
class TorchModel(nn.ModuleList):
def __init__(self):
super(TorchModel, self).__init__()
self.linear_1 = nn.Linear(2, 12)
self.linear_2 = nn.Linear(12, 1)
def forward(self, x):
out = self.linear_1(x)
out = torch.tanh(out)
out = self.linear_2(out)
out = torch.sigmo... | 21.4375 | 36 | 0.682216 | 56 | 343 | 3.964286 | 0.375 | 0.18018 | 0.099099 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0.183673 | 343 | 16 | 37 | 21.4375 | 0.757143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.153846 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46389fb316c01f816e67750260b3ef8381f89fb1 | 11,529 | py | Python | nereid/contrib/pagination.py | advocatetax/nereid-1 | ee7ae345e3e7e46b3e13cd6e3b94c388d38a0efa | [
"BSD-3-Clause"
] | null | null | null | nereid/contrib/pagination.py | advocatetax/nereid-1 | ee7ae345e3e7e46b3e13cd6e3b94c388d38a0efa | [
"BSD-3-Clause"
] | null | null | null | nereid/contrib/pagination.py | advocatetax/nereid-1 | ee7ae345e3e7e46b3e13cd6e3b94c388d38a0efa | [
"BSD-3-Clause"
] | 1 | 2021-06-04T13:02:29.000Z | 2021-06-04T13:02:29.000Z | # -*- coding: utf-8 -*-
# This file is part of Tryton & Nereid. The COPYRIGHT file at the top level of
# this repository contains the full copyright notices and license terms.
from math import ceil
from sql import Select, Column
from sql.functions import Function
from sql.aggregate import Count
from werkzeug.utils impo... | 32.94 | 82 | 0.571515 | 1,465 | 11,529 | 4.412287 | 0.204778 | 0.029239 | 0.023824 | 0.012067 | 0.385984 | 0.366646 | 0.301826 | 0.287902 | 0.262067 | 0.244276 | 0 | 0.009455 | 0.330298 | 11,529 | 349 | 83 | 33.034384 | 0.827354 | 0.372799 | 0 | 0.271084 | 0 | 0 | 0.023604 | 0 | 0 | 0 | 0 | 0 | 0.006024 | 1 | 0.13253 | false | 0 | 0.048193 | 0.012048 | 0.403614 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
463af3b646e86f201f2bd7fe58504504be2cb376 | 4,203 | py | Python | modules/DEFA/MS_Office/compoundfiles/const.py | naaya17/carpe | fa2e3cfebe20f8839c985e5b9b78b538800172a1 | [
"Apache-2.0"
] | 56 | 2019-02-07T06:21:45.000Z | 2022-03-21T08:19:24.000Z | DEFA/MS_Office/compoundfiles/const.py | sk-yaho/carpe | 077ef7ba1582b3de9f5c08d63431e744b77a9e09 | [
"Apache-2.0"
] | 5 | 2020-05-25T17:29:00.000Z | 2021-12-13T20:49:08.000Z | DEFA/MS_Office/compoundfiles/const.py | sk-yaho/carpe | 077ef7ba1582b3de9f5c08d63431e744b77a9e09 | [
"Apache-2.0"
] | 31 | 2019-03-13T10:23:49.000Z | 2021-11-04T12:14:58.000Z | #!/usr/bin/env python
# vim: set et sw=4 sts=4 fileencoding=utf-8:
#
# A library for reading Microsoft's OLE Compound Document format
# Copyright (c) 2014 Dave Hughes <dave@waveform.org.uk>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation f... | 42.454545 | 83 | 0.695218 | 623 | 4,203 | 4.581059 | 0.385233 | 0.113525 | 0.056062 | 0.025228 | 0.174842 | 0.13595 | 0.103013 | 0.085494 | 0.085494 | 0.074982 | 0 | 0.014123 | 0.208185 | 4,203 | 98 | 84 | 42.887755 | 0.84345 | 0.613609 | 0 | 0.52459 | 0 | 0 | 0.051513 | 0.020605 | 0 | 0 | 0.045074 | 0 | 0 | 1 | 0 | false | 0 | 0.04918 | 0 | 0.04918 | 0.016393 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4642f66823f504498e1fb09dc0db99ad096fbcd2 | 7,257 | py | Python | mkt/purchase/models.py | muffinresearch/zamboni | 045a6f07c775b99672af6d9857d295ed02fe5dd9 | [
"BSD-3-Clause"
] | null | null | null | mkt/purchase/models.py | muffinresearch/zamboni | 045a6f07c775b99672af6d9857d295ed02fe5dd9 | [
"BSD-3-Clause"
] | null | null | null | mkt/purchase/models.py | muffinresearch/zamboni | 045a6f07c775b99672af6d9857d295ed02fe5dd9 | [
"BSD-3-Clause"
] | null | null | null | import datetime
from django.conf import settings
from django.db import models
from django.utils import translation
import tower
from babel import Locale, numbers
from jingo import env
from jinja2.filters import do_dictsort
from tower import ugettext as _
import amo
from amo.fields import DecimalCharField
from amo.he... | 40.316667 | 79 | 0.606587 | 825 | 7,257 | 5.175758 | 0.288485 | 0.020609 | 0.029508 | 0.039344 | 0.169321 | 0.142857 | 0.142857 | 0.074941 | 0.044028 | 0.021546 | 0 | 0.005534 | 0.302742 | 7,257 | 179 | 80 | 40.541899 | 0.83834 | 0.11575 | 0 | 0.061069 | 0 | 0 | 0.064659 | 0.023656 | 0 | 0 | 0 | 0.005587 | 0 | 1 | 0.114504 | false | 0 | 0.10687 | 0.030534 | 0.435115 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4643e75f0f9e71df8892955ee0441be6f4a0dd8e | 396 | py | Python | BroCode/lessons/13-nested_loops.py | sofiaEkn/Python_Exercises | 2ffbec63552a29c72de50ef5e5a3307195e1b546 | [
"MIT"
] | null | null | null | BroCode/lessons/13-nested_loops.py | sofiaEkn/Python_Exercises | 2ffbec63552a29c72de50ef5e5a3307195e1b546 | [
"MIT"
] | null | null | null | BroCode/lessons/13-nested_loops.py | sofiaEkn/Python_Exercises | 2ffbec63552a29c72de50ef5e5a3307195e1b546 | [
"MIT"
] | null | null | null | # nested loops = The "inner loop" will finish all of it's iterations before
# finishing one iteration of the "outer loop"
rows = int(input("How many rows?: "))
columns = int(input("How many columns?: "))
symbol = input("Enter a symbol to use: ")
#symbol = int(input("Enter a symbol to use: "))
for i in... | 33 | 75 | 0.643939 | 61 | 396 | 4.180328 | 0.57377 | 0.094118 | 0.086275 | 0.117647 | 0.172549 | 0.172549 | 0 | 0 | 0 | 0 | 0 | 0 | 0.217172 | 396 | 12 | 76 | 33 | 0.822581 | 0.449495 | 0 | 0 | 0 | 0 | 0.271028 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46441ef13bcf6070728bb55ba5a6a680d4610fc1 | 2,516 | py | Python | duct/sources/python/uwsgi.py | geostarling/duct | a862fc1948ed1ecce1e866cbffc7fcedcea81f55 | [
"MIT"
] | 12 | 2017-01-06T11:59:59.000Z | 2021-03-16T17:57:46.000Z | duct/sources/python/uwsgi.py | geostarling/duct | a862fc1948ed1ecce1e866cbffc7fcedcea81f55 | [
"MIT"
] | 20 | 2017-01-06T12:56:39.000Z | 2017-02-06T13:45:28.000Z | duct/sources/python/uwsgi.py | geostarling/duct | a862fc1948ed1ecce1e866cbffc7fcedcea81f55 | [
"MIT"
] | 2 | 2017-02-09T14:02:13.000Z | 2018-10-16T13:18:17.000Z | """
.. module:: uwsgi
:platform: Any
:synopsis: Reads UWSGI stats
.. moduleauthor:: Colin Alston <colin@imcol.in>
"""
import json
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
from zope.interface import implementer
from twisted.internet import defer, reactor
from twis... | 24.666667 | 76 | 0.565183 | 249 | 2,516 | 5.690763 | 0.409639 | 0.052929 | 0.059986 | 0.038109 | 0.08892 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006948 | 0.313593 | 2,516 | 101 | 77 | 24.910891 | 0.81355 | 0.138712 | 0 | 0.070175 | 0 | 0 | 0.086812 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0 | 0.157895 | 0 | 0.315789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46454325357264b47dbceec722a3e08a4d41a6be | 22,167 | py | Python | xform/utils.py | alisonamerico/Django-XForm | ad2e96455307b57ef3c485a006db478fe4352a36 | [
"MIT"
] | 3 | 2019-07-25T14:46:14.000Z | 2020-12-14T22:43:46.000Z | xform/utils.py | alisonamerico/Django-XForm | ad2e96455307b57ef3c485a006db478fe4352a36 | [
"MIT"
] | 4 | 2019-09-04T17:39:04.000Z | 2021-11-05T23:14:58.000Z | xform/utils.py | alisonamerico/Django-XForm | ad2e96455307b57ef3c485a006db478fe4352a36 | [
"MIT"
] | 1 | 2021-11-05T23:05:48.000Z | 2021-11-05T23:05:48.000Z | import datetime
import importlib
import json
import logging
import math
import mimetypes
import os
import re
import sys
import uuid
import requests
from urllib.parse import urljoin
from wsgiref.util import FileWrapper
from xml.dom import minidom, Node
from django.conf import settings
from django.core.files.storage ... | 30.873259 | 96 | 0.606668 | 2,669 | 22,167 | 4.832147 | 0.173473 | 0.009304 | 0.005428 | 0.008684 | 0.21819 | 0.163759 | 0.126308 | 0.104365 | 0.090564 | 0.082655 | 0 | 0.00421 | 0.303559 | 22,167 | 717 | 97 | 30.916318 | 0.831196 | 0.116344 | 0 | 0.209163 | 0 | 0 | 0.071746 | 0.002996 | 0 | 0 | 0 | 0.001395 | 0.001992 | 1 | 0.099602 | false | 0.013944 | 0.049801 | 0.035857 | 0.292829 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4645ac5dfc9f12700491f7aec71f5e520201b23f | 9,050 | py | Python | Phase5/testing_query.py | MrKLawrence/Course-Registration-Data-Analytics | b1a88ab9336a545965752d175d8c4796209e487c | [
"MIT"
] | null | null | null | Phase5/testing_query.py | MrKLawrence/Course-Registration-Data-Analytics | b1a88ab9336a545965752d175d8c4796209e487c | [
"MIT"
] | null | null | null | Phase5/testing_query.py | MrKLawrence/Course-Registration-Data-Analytics | b1a88ab9336a545965752d175d8c4796209e487c | [
"MIT"
] | null | null | null | import datetime
from pymongo import MongoClient
import pymongo
import pprint
try:
db = MongoClient("mongodb://localhost:27017")["hkust"]
f=0.05
try:
print("Querying Documents...")
listOfCourseWithWaitingListSize = db.course.aggregate([
{ "$unwind": "$sections" },
# { "$project": { "newProduct": {"$multi... | 35.629921 | 309 | 0.644309 | 1,100 | 9,050 | 5.262727 | 0.191818 | 0.038003 | 0.047158 | 0.045604 | 0.567628 | 0.537226 | 0.530662 | 0.530662 | 0.49024 | 0.470202 | 0 | 0.028489 | 0.154475 | 9,050 | 253 | 310 | 35.770751 | 0.728045 | 0.235028 | 0 | 0.477387 | 0 | 0 | 0.2187 | 0.011633 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035176 | false | 0 | 0.050251 | 0 | 0.115578 | 0.090452 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4648df628268429b96e7a5ae13c51c1984b5c218 | 2,549 | py | Python | aws_iot/dashboard/migrations/0003_auto_20160427_1641.py | anduslim/aws_iot | 39bddc1af05313f5005b5147b9d469ad337d6f28 | [
"BSD-3-Clause"
] | null | null | null | aws_iot/dashboard/migrations/0003_auto_20160427_1641.py | anduslim/aws_iot | 39bddc1af05313f5005b5147b9d469ad337d6f28 | [
"BSD-3-Clause"
] | null | null | null | aws_iot/dashboard/migrations/0003_auto_20160427_1641.py | anduslim/aws_iot | 39bddc1af05313f5005b5147b9d469ad337d6f28 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('dashboard', '0002_gatewaynode_sensorstickerreading'),
]
operations = [
migrations.CreateModel(
name='DerivedInta... | 32.679487 | 114 | 0.566497 | 202 | 2,549 | 6.955446 | 0.376238 | 0.064057 | 0.111032 | 0.128114 | 0.343772 | 0.318861 | 0.079715 | 0 | 0 | 0 | 0 | 0.004616 | 0.320126 | 2,549 | 77 | 115 | 33.103896 | 0.806117 | 0.008239 | 0 | 0.464789 | 0 | 0 | 0.218527 | 0.042359 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.028169 | 0 | 0.070423 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
464a989a9cb27c1d1baa77e94436a8092fe897da | 2,633 | py | Python | backend/db/patient.py | wooque/openpacs | 4524bc7fade0934a70a53bb311f302828cc56905 | [
"MIT"
] | 1 | 2021-01-04T23:58:54.000Z | 2021-01-04T23:58:54.000Z | backend/db/patient.py | wooque/openpacs | 4524bc7fade0934a70a53bb311f302828cc56905 | [
"MIT"
] | null | null | null | backend/db/patient.py | wooque/openpacs | 4524bc7fade0934a70a53bb311f302828cc56905 | [
"MIT"
] | 1 | 2022-03-05T12:58:09.000Z | 2022-03-05T12:58:09.000Z | from db.table import Table
from db.study import Study
from db.series import Series
from pypika.pseudocolumns import PseudoColumn
class Patient(Table):
name = 'patients'
async def sync_db(self):
await self.exec("""
CREATE TABLE IF NOT EXISTS patients (
id SERIAL PRIMARY KEY,
... | 31.722892 | 86 | 0.557159 | 327 | 2,633 | 4.363914 | 0.220183 | 0.088297 | 0.021023 | 0.031535 | 0.16398 | 0.099509 | 0.043448 | 0 | 0 | 0 | 0 | 0 | 0.306494 | 2,633 | 82 | 87 | 32.109756 | 0.78149 | 0 | 0 | 0.057971 | 0 | 0 | 0.206988 | 0.007976 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.072464 | 0 | 0.144928 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
464ce40b514f813772eac4adaecb88e87e70d261 | 1,415 | py | Python | sudoku/recursive_solver.py | mkomaiha/NERS570-Sudoku | 2448de19dd8ae97292b74937d397846d10176a8b | [
"MIT"
] | null | null | null | sudoku/recursive_solver.py | mkomaiha/NERS570-Sudoku | 2448de19dd8ae97292b74937d397846d10176a8b | [
"MIT"
] | null | null | null | sudoku/recursive_solver.py | mkomaiha/NERS570-Sudoku | 2448de19dd8ae97292b74937d397846d10176a8b | [
"MIT"
] | null | null | null | from sudoku.constants import SIZE, BOX_SIZE
from sudoku import Sudoku
class RS(Sudoku):
def __init__(self, grade=0, id=None):
super().__init__(grade, id)
def possible(self, r, c, n):
for i in range(0, SIZE):
if self.solved[r, i] == n:
return False
for i in ... | 31.444444 | 61 | 0.467845 | 178 | 1,415 | 3.617978 | 0.241573 | 0.124224 | 0.049689 | 0.099379 | 0.268634 | 0.086957 | 0.086957 | 0.086957 | 0.086957 | 0 | 0 | 0.017456 | 0.433216 | 1,415 | 44 | 62 | 32.159091 | 0.785536 | 0.021908 | 0 | 0.243243 | 0 | 0 | 0.013025 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.054054 | 0 | 0.405405 | 0.189189 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
464f62901d50ef275959e48f29f0c159e6183c2e | 571 | py | Python | src/algoritmia/problems/binpacking/firstfitbinpacker.py | DavidLlorens/algoritmia | 40ca0a89ea6de9b633fa5f697f0a28cae70816a2 | [
"MIT"
] | 6 | 2018-09-15T15:09:10.000Z | 2022-02-27T01:23:11.000Z | src/algoritmia/problems/binpacking/firstfitbinpacker.py | JeromeIllgner/algoritmia | 406afe7206f2411557859bf03480c16db7dcce0d | [
"MIT"
] | null | null | null | src/algoritmia/problems/binpacking/firstfitbinpacker.py | JeromeIllgner/algoritmia | 406afe7206f2411557859bf03480c16db7dcce0d | [
"MIT"
] | 5 | 2018-07-10T20:19:55.000Z | 2021-03-31T03:32:22.000Z | from algoritmia.problems.binpacking.nextfitbinpacker import NextFitBinPacker
class FirstFitBinPacker(NextFitBinPacker):#[full
def pack(self, w: "IList<Real>", C: "Real") -> "IList<int>":
x = [None] * len(w)
free = []
for i in range(len(w)):
for j in range(len(free)):
... | 35.6875 | 77 | 0.450088 | 67 | 571 | 3.835821 | 0.447761 | 0.023346 | 0.077821 | 0.054475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.409807 | 571 | 16 | 78 | 35.6875 | 0.762611 | 0.017513 | 0 | 0 | 0 | 0 | 0.045872 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
465353204681d4b1df6397f2e8098a707504bf13 | 4,125 | py | Python | task3/code/video_process.py | haohaoqian/STD | 38eeb39474a46e8e66bdf4da6a0e28167e2174a2 | [
"MIT"
] | 1 | 2021-11-30T13:07:41.000Z | 2021-11-30T13:07:41.000Z | task3/code/video_process.py | haohaoqian/STD | 38eeb39474a46e8e66bdf4da6a0e28167e2174a2 | [
"MIT"
] | null | null | null | task3/code/video_process.py | haohaoqian/STD | 38eeb39474a46e8e66bdf4da6a0e28167e2174a2 | [
"MIT"
] | null | null | null | import json
from tqdm import tqdm
from utils import *
from alexnet import AlexNet
def classify(net, folder_name, resize=(224, 224)):
transform = []
if resize:
transform.append(torchvision.transforms.Resize(resize))
transform.append(torchvision.transforms.ToTensor())
transform.append... | 39.663462 | 117 | 0.634909 | 533 | 4,125 | 4.679174 | 0.26454 | 0.025261 | 0.046913 | 0.006415 | 0.489976 | 0.408581 | 0.338412 | 0.31676 | 0.279872 | 0.279872 | 0 | 0.02133 | 0.227152 | 4,125 | 104 | 118 | 39.663462 | 0.760979 | 0.300121 | 0 | 0.280702 | 0 | 0 | 0.068966 | 0.049523 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0 | 0.070175 | 0 | 0.192982 | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4654a308feea7ad07bf6af611b62104666bd4e8d | 5,087 | py | Python | shfl/data_distribution/data_distribution_non_iid.py | SSSuperTIan/Sherpa.ai-Federated-Learning-Framework | a30d73a018526f1033ee0ec57489c4c6e2f15b0a | [
"Apache-2.0"
] | 1 | 2021-03-18T07:31:36.000Z | 2021-03-18T07:31:36.000Z | shfl/data_distribution/data_distribution_non_iid.py | SSSuperTIan/Sherpa.ai-Federated-Learning-Framework | a30d73a018526f1033ee0ec57489c4c6e2f15b0a | [
"Apache-2.0"
] | null | null | null | shfl/data_distribution/data_distribution_non_iid.py | SSSuperTIan/Sherpa.ai-Federated-Learning-Framework | a30d73a018526f1033ee0ec57489c4c6e2f15b0a | [
"Apache-2.0"
] | null | null | null | import numpy as np
import random
import tensorflow as tf
from shfl.data_base.data_base import shuffle_rows
from shfl.data_distribution.data_distribution_sampling import SamplingDataDistribution
class NonIidDataDistribution(SamplingDataDistribution):
"""
Implementation of a non-independent and identically dis... | 36.597122 | 113 | 0.612149 | 634 | 5,087 | 4.711356 | 0.209779 | 0.032139 | 0.040509 | 0.017409 | 0.30164 | 0.27084 | 0.237697 | 0.210244 | 0.210244 | 0.210244 | 0 | 0.010547 | 0.310399 | 5,087 | 138 | 114 | 36.862319 | 0.840935 | 0.246707 | 0 | 0.376812 | 0 | 0 | 0.008811 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028986 | false | 0 | 0.072464 | 0 | 0.144928 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4656ff804d82461f52d5fb2b608b15a88f9feeb7 | 1,298 | py | Python | example/0_Basic_usage_of_the_library/python_pymongo/2_select.py | AndersonHJB/learning_spider | b855b7808fb5268e9564180cf73ba5b1fb133f58 | [
"MIT"
] | 2 | 2021-09-07T13:28:34.000Z | 2021-12-13T06:17:10.000Z | example/0_Basic_usage_of_the_library/python_pymongo/2_select.py | AndersonHJB/learning_spider | b855b7808fb5268e9564180cf73ba5b1fb133f58 | [
"MIT"
] | null | null | null | example/0_Basic_usage_of_the_library/python_pymongo/2_select.py | AndersonHJB/learning_spider | b855b7808fb5268e9564180cf73ba5b1fb133f58 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
'''
@Time : 2021-06-08
@Author : EvilRecluse
@Contact : https://github.com/RecluseXU
@Desc : 增
'''
# here put the import lib
from pymongo import MongoClient
from bson import ObjectId
connection: MongoClient = MongoClient('mongodb://localhost:27017')
collection = connection['l... | 22 | 80 | 0.743451 | 149 | 1,298 | 6.355705 | 0.583893 | 0.103485 | 0.105597 | 0.072862 | 0.137276 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040889 | 0.133282 | 1,298 | 58 | 81 | 22.37931 | 0.800889 | 0.457627 | 0 | 0.294118 | 0 | 0 | 0.1263 | 0.069837 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 0.294118 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4657a986bf5b4eb76c1f27d0639731c4204bb162 | 4,428 | py | Python | install-b9s.py | ihaveamac/hardmod-b9s-installer | 4b26cfff76bb00430aacbe80679623e3cc5bb46d | [
"MIT"
] | 13 | 2017-05-20T03:54:55.000Z | 2021-10-09T22:10:09.000Z | install-b9s.py | ihaveamac/hardmod-b9s-installer | 4b26cfff76bb00430aacbe80679623e3cc5bb46d | [
"MIT"
] | 2 | 2017-06-09T06:40:20.000Z | 2017-09-17T14:29:28.000Z | install-b9s.py | ihaveamac/hardmod-b9s-installer | 4b26cfff76bb00430aacbe80679623e3cc5bb46d | [
"MIT"
] | 3 | 2017-12-24T19:10:09.000Z | 2020-12-04T09:01:53.000Z | #!/usr/bin/env python3
import hashlib
import os
import shutil
import subprocess
import sys
import time
def doexit(msg, errcode=0):
print(msg)
input('Press Enter to continue...')
sys.exit(errcode)
if not os.path.isfile('NAND.bin'):
doexit('NAND.bin not found.', errcode=1)
if os.path.isfile('firm0fi... | 35.709677 | 78 | 0.626016 | 595 | 4,428 | 4.621849 | 0.277311 | 0.052364 | 0.026182 | 0.041455 | 0.421455 | 0.393818 | 0.335273 | 0.245818 | 0.245818 | 0.245818 | 0 | 0.054999 | 0.211608 | 4,428 | 123 | 79 | 36 | 0.732741 | 0.019648 | 0 | 0.244898 | 0 | 0 | 0.349009 | 0.015445 | 0 | 0 | 0.025357 | 0 | 0 | 1 | 0.020408 | false | 0.010204 | 0.061224 | 0 | 0.081633 | 0.204082 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46586eef963ebf4f9bbb1677b780f95787d3e23e | 6,329 | py | Python | pygazebo/connection.py | robobe/pygazebo | 0ab53034c9cc5bf23bae46bf0e9c984349bdfa5a | [
"Apache-2.0"
] | null | null | null | pygazebo/connection.py | robobe/pygazebo | 0ab53034c9cc5bf23bae46bf0e9c984349bdfa5a | [
"Apache-2.0"
] | null | null | null | pygazebo/connection.py | robobe/pygazebo | 0ab53034c9cc5bf23bae46bf0e9c984349bdfa5a | [
"Apache-2.0"
] | 1 | 2020-12-09T17:27:34.000Z | 2020-12-09T17:27:34.000Z | import concurrent
import time
import math
import sys
import asyncio
import logging
from . import msg
from .parse_error import ParseError
from . import DEBUG_LEVEL
logger = logging.getLogger(__name__)
logger.setLevel(DEBUG_LEVEL)
async def _wait_closed(stream):
assert(sys.version_info.major >= 3)
if sys.versi... | 32.623711 | 137 | 0.613367 | 730 | 6,329 | 5.073973 | 0.217808 | 0.035097 | 0.022678 | 0.014579 | 0.150648 | 0.113931 | 0.064255 | 0.044276 | 0.024298 | 0.024298 | 0 | 0.005173 | 0.297519 | 6,329 | 193 | 138 | 32.792746 | 0.827935 | 0.056723 | 0 | 0.140845 | 0 | 0.007042 | 0.06133 | 0.027634 | 0 | 0 | 0 | 0 | 0.035211 | 1 | 0.056338 | false | 0.007042 | 0.06338 | 0.014085 | 0.204225 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
465a22b29f2bfae5b6e8e5e3348394868002ce0f | 1,483 | py | Python | app.py | Geo-Gabriel/REST-Api-Hotels | e065f4725507e11a11480118f326e79aded533d5 | [
"MIT"
] | null | null | null | app.py | Geo-Gabriel/REST-Api-Hotels | e065f4725507e11a11480118f326e79aded533d5 | [
"MIT"
] | null | null | null | app.py | Geo-Gabriel/REST-Api-Hotels | e065f4725507e11a11480118f326e79aded533d5 | [
"MIT"
] | null | null | null | from blacklist import BLACKLIST
from flask import Flask, jsonify
from flask_restful import Api
from resources.hotel import Hoteis, Hotel
from resources.user import User, UserLogin, UserLogout, UserRegister, Users
from resources.site import Site, Sites
from flask_jwt_extended import JWTManager
app = Flask(__name__)
ap... | 26.017544 | 80 | 0.766689 | 203 | 1,483 | 5.35468 | 0.374384 | 0.049678 | 0.115915 | 0.121435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006074 | 0.111935 | 1,483 | 56 | 81 | 26.482143 | 0.819286 | 0.074848 | 0 | 0 | 0 | 0 | 0.210411 | 0.138563 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.222222 | 0.055556 | 0.361111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
465a6321a407b2ead52a83060d6a413f0b6c0e5a | 316 | py | Python | scdlbot/__init__.py | samillinier/habesha-skin-pack | 74d1c84b207c8d598f124a91dce11fb09109c772 | [
"MIT"
] | null | null | null | scdlbot/__init__.py | samillinier/habesha-skin-pack | 74d1c84b207c8d598f124a91dce11fb09109c772 | [
"MIT"
] | null | null | null | scdlbot/__init__.py | samillinier/habesha-skin-pack | 74d1c84b207c8d598f124a91dce11fb09109c772 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Top-level package for Music Downloader Telegram Bot."""
# version as tuple for simple comparisons
VERSION = (0, 9, 16)
__author__ = """George Pchelkin"""
__email__ = 'george@pchelk.in'
# string created from tuple to avoid inconsistency
__version__ = ".".join([str(x) for x in VERSION])
| 26.333333 | 58 | 0.696203 | 43 | 316 | 4.837209 | 0.790698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018727 | 0.155063 | 316 | 11 | 59 | 28.727273 | 0.7603 | 0.518987 | 0 | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
465afd4dc993d8e9672e85b05bdf2dd73ac767b6 | 4,355 | py | Python | uPython/lopyhelper.py | somervda/ourLora | 8ee21a3eefd13464ad5063174a7a7cab57229e0d | [
"MIT"
] | null | null | null | uPython/lopyhelper.py | somervda/ourLora | 8ee21a3eefd13464ad5063174a7a7cab57229e0d | [
"MIT"
] | 3 | 2022-02-14T19:32:32.000Z | 2022-02-24T18:22:28.000Z | uPython/lopyhelper.py | somervda/ourLora | 8ee21a3eefd13464ad5063174a7a7cab57229e0d | [
"MIT"
] | null | null | null | import struct
import pycom
import time
from network import LoRa
def blink(seconds, rgb):
pycom.rgbled(rgb)
time.sleep(seconds)
pycom.rgbled(0x000000) # off
def setUSFrequencyPlan(lora):
""" Sets the frequency plan that matches the TTN gateway in the USA """
# remove all US915 channels
for c... | 35.406504 | 105 | 0.665901 | 586 | 4,355 | 4.848123 | 0.368601 | 0.025343 | 0.016895 | 0.01408 | 0.233017 | 0.214713 | 0.19641 | 0.19641 | 0.19641 | 0.161915 | 0 | 0.032977 | 0.247991 | 4,355 | 122 | 106 | 35.696721 | 0.834504 | 0.355454 | 0 | 0.077922 | 0 | 0 | 0.018978 | 0 | 0 | 0 | 0.011679 | 0 | 0 | 1 | 0.12987 | false | 0 | 0.051948 | 0.051948 | 0.376623 | 0.077922 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
465b3dc1f585b6b0356f07d08239e727188800e8 | 2,980 | py | Python | configs/efficientnet/retinanet_effb3_fpn_crop896_8x4_1x_coco.py | chenxinfeng4/mmdetection | a99a1aaa5e4a7614f2f89f2350e1b917b2a8ca7e | [
"Apache-2.0"
] | 6 | 2021-12-18T07:23:35.000Z | 2022-02-26T04:38:26.000Z | configs/efficientnet/retinanet_effb3_fpn_crop896_8x4_1x_coco.py | wondervictor/mmdetection | c72bc707e661d61cf09aca0a53ad21812ef874d0 | [
"Apache-2.0"
] | null | null | null | configs/efficientnet/retinanet_effb3_fpn_crop896_8x4_1x_coco.py | wondervictor/mmdetection | c72bc707e661d61cf09aca0a53ad21812ef874d0 | [
"Apache-2.0"
] | 1 | 2021-12-12T13:35:22.000Z | 2021-12-12T13:35:22.000Z | _base_ = [
'../_base_/models/retinanet_r50_fpn.py',
'../_base_/datasets/coco_detection.py', '../_base_/default_runtime.py'
]
cudnn_benchmark = True
norm_cfg = dict(type='BN', requires_grad=True)
checkpoint = 'https://download.openmmlab.com/mmclassification/v0/efficientnet/efficientnet-b3_3rdparty_8xb32-aa_in1k... | 31.702128 | 147 | 0.645638 | 394 | 2,980 | 4.649746 | 0.479695 | 0.100437 | 0.030022 | 0.032751 | 0.164301 | 0.106987 | 0.062227 | 0.062227 | 0.062227 | 0.062227 | 0 | 0.050869 | 0.208389 | 2,980 | 93 | 148 | 32.043011 | 0.725731 | 0.071477 | 0 | 0.120482 | 0 | 0.012048 | 0.186435 | 0.036634 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.012048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
465d72bc64541d0735329d0bb15e70e1a6c30e99 | 2,265 | py | Python | tests/test_model.py | Sebastiencreoff/mongo_tool | 048171ba2c172c0e8962a5408edbaec26cfdf4ca | [
"MIT"
] | null | null | null | tests/test_model.py | Sebastiencreoff/mongo_tool | 048171ba2c172c0e8962a5408edbaec26cfdf4ca | [
"MIT"
] | null | null | null | tests/test_model.py | Sebastiencreoff/mongo_tool | 048171ba2c172c0e8962a5408edbaec26cfdf4ca | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import datetime
import mock
import mom
class ExampleClass(mom.Model):
JSON_SCHEMA = {
'$schema': 'http://json-schema.org/schema#',
'title': 'Test class for JSON',
'type': 'object',
'properties': {
'value_datetime': {'type': ['datetime', 'null']}... | 25.449438 | 74 | 0.63532 | 289 | 2,265 | 4.785467 | 0.242215 | 0.092552 | 0.151844 | 0.121475 | 0.402748 | 0.318872 | 0.318872 | 0.295011 | 0.295011 | 0.258858 | 0 | 0.006322 | 0.231788 | 2,265 | 88 | 75 | 25.738636 | 0.788506 | 0.047682 | 0 | 0.275862 | 0 | 0 | 0.101301 | 0 | 0 | 0 | 0 | 0 | 0.206897 | 1 | 0.103448 | false | 0 | 0.051724 | 0 | 0.224138 | 0.017241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46627a350df5177a8548cf67ff0c02d30e501fb7 | 2,183 | py | Python | src/stage_02_base_model_creation.py | TUCchkul/Dog-Cat-Classification-with-MLflow | 543f55bd88c048da88f343ff4b1b15b3f84ec20f | [
"MIT"
] | null | null | null | src/stage_02_base_model_creation.py | TUCchkul/Dog-Cat-Classification-with-MLflow | 543f55bd88c048da88f343ff4b1b15b3f84ec20f | [
"MIT"
] | null | null | null | src/stage_02_base_model_creation.py | TUCchkul/Dog-Cat-Classification-with-MLflow | 543f55bd88c048da88f343ff4b1b15b3f84ec20f | [
"MIT"
] | null | null | null | import argparse
import os
import shutil
from tqdm import tqdm
import logging
from src.utils.common import read_yaml, create_directories
import random
from src.utils.model import log_model_summary
import tensorflow as tf
STAGE= "Base Model Creation"
logging.basicConfig(
filename=os.path.join("logs",'running_logs.... | 33.584615 | 81 | 0.633532 | 278 | 2,183 | 4.805755 | 0.377698 | 0.052395 | 0.077844 | 0.047156 | 0.144461 | 0.091317 | 0.091317 | 0.091317 | 0.091317 | 0.091317 | 0 | 0.010321 | 0.201099 | 2,183 | 64 | 82 | 34.109375 | 0.755734 | 0 | 0 | 0.036364 | 0 | 0 | 0.194317 | 0.029331 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018182 | false | 0 | 0.163636 | 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 |
466394d9212459110bd5519845967eacdfeb9888 | 758 | py | Python | gifbox/core/serializers.py | timmygee/gifbox | ccdd88ad9424c8e2c519415cde619af3a61daf66 | [
"MIT"
] | null | null | null | gifbox/core/serializers.py | timmygee/gifbox | ccdd88ad9424c8e2c519415cde619af3a61daf66 | [
"MIT"
] | null | null | null | gifbox/core/serializers.py | timmygee/gifbox | ccdd88ad9424c8e2c519415cde619af3a61daf66 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from versatileimagefield.serializers import VersatileImageFieldSerializer
from .models import Image, AnimatedGif
class ImageSerializer(serializers.ModelSerializer):
class Meta:
model = Image
fields = ('image',)
image = VersatileImageFieldSerializer(
... | 23.6875 | 73 | 0.631926 | 58 | 758 | 8.103448 | 0.448276 | 0.076596 | 0.131915 | 0.148936 | 0.382979 | 0.212766 | 0 | 0 | 0 | 0 | 0 | 0.021505 | 0.263852 | 758 | 31 | 74 | 24.451613 | 0.820789 | 0 | 0 | 0.26087 | 0 | 0 | 0.146438 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.130435 | 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 |
46656e54aaab662adced0d0bfa04fce707df2e88 | 6,658 | py | Python | train.py | zpc-666/Paddle-Stochastic-Depth-ResNet110 | bb8b5b90052feef39fafd2a790f08b80b45fbe41 | [
"Apache-2.0"
] | null | null | null | train.py | zpc-666/Paddle-Stochastic-Depth-ResNet110 | bb8b5b90052feef39fafd2a790f08b80b45fbe41 | [
"Apache-2.0"
] | null | null | null | train.py | zpc-666/Paddle-Stochastic-Depth-ResNet110 | bb8b5b90052feef39fafd2a790f08b80b45fbe41 | [
"Apache-2.0"
] | 1 | 2021-08-07T14:56:44.000Z | 2021-08-07T14:56:44.000Z | # coding: utf-8
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Un... | 47.899281 | 169 | 0.615801 | 783 | 6,658 | 5.001277 | 0.284802 | 0.022472 | 0.022472 | 0.0143 | 0.511491 | 0.501788 | 0.459653 | 0.43667 | 0.43667 | 0.416241 | 0 | 0.008221 | 0.287474 | 6,658 | 139 | 170 | 47.899281 | 0.817243 | 0.121959 | 0 | 0.442308 | 0 | 0 | 0.065435 | 0.00774 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019231 | false | 0 | 0.125 | 0 | 0.144231 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466669f55fd94ab7691c895cf787adfe7eec635c | 1,204 | py | Python | dataloader/EDSR/video.py | pidan1231239/SR-Stereo2 | 8e7ef8f33a10c9d857cc5383c02d126ee6ab8a29 | [
"MIT"
] | 1 | 2020-03-11T12:19:13.000Z | 2020-03-11T12:19:13.000Z | dataloader/EDSR/video.py | pidan1231239/SR-Stereo2 | 8e7ef8f33a10c9d857cc5383c02d126ee6ab8a29 | [
"MIT"
] | null | null | null | dataloader/EDSR/video.py | pidan1231239/SR-Stereo2 | 8e7ef8f33a10c9d857cc5383c02d126ee6ab8a29 | [
"MIT"
] | null | null | null | import os
from . import common
import cv2
import numpy as np
import imageio
import torch
import torch.utils.data as data
class Video(data.Dataset):
def __init__(self, args, name='Video', train=False, benchmark=False):
self.args = args
self.name = name
self.scale = args.scale
self... | 26.755556 | 77 | 0.623754 | 165 | 1,204 | 4.327273 | 0.4 | 0.044818 | 0.05042 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011403 | 0.271595 | 1,204 | 44 | 78 | 27.363636 | 0.802737 | 0 | 0 | 0 | 0 | 0 | 0.011638 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.205882 | 0.029412 | 0.441176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4667ccf5ef5c78e64a0eadc56411d4151f24e864 | 6,395 | py | Python | blink_handler.py | oyiptong/chromium-dashboard | c94632a779da0c8ab51c2e029fdcceffad6ab4c1 | [
"Apache-2.0"
] | null | null | null | blink_handler.py | oyiptong/chromium-dashboard | c94632a779da0c8ab51c2e029fdcceffad6ab4c1 | [
"Apache-2.0"
] | null | null | null | blink_handler.py | oyiptong/chromium-dashboard | c94632a779da0c8ab51c2e029fdcceffad6ab4c1 | [
"Apache-2.0"
] | 1 | 2020-09-29T19:23:59.000Z | 2020-09-29T19:23:59.000Z | # -*- coding: utf-8 -*-
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 34.945355 | 124 | 0.70086 | 785 | 6,395 | 5.546497 | 0.298089 | 0.048232 | 0.018374 | 0.027561 | 0.248277 | 0.226918 | 0.19017 | 0.136426 | 0.136426 | 0.095544 | 0 | 0.003485 | 0.192338 | 6,395 | 182 | 125 | 35.137363 | 0.839497 | 0.226896 | 0 | 0.173913 | 0 | 0 | 0.109886 | 0.030842 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06087 | false | 0 | 0.104348 | 0 | 0.252174 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46687db58d5ce22cf64d16f65406c0bb8f14b56a | 2,756 | py | Python | OBlog/blueprint/pages/main.py | OhYee/OBlog | a9d7e4fda5651cf9c5afd4c128c4df4442794e97 | [
"BSD-3-Clause"
] | 23 | 2018-02-23T12:56:43.000Z | 2021-12-20T13:21:47.000Z | OBlog/blueprint/pages/main.py | OhYee/OBlog | a9d7e4fda5651cf9c5afd4c128c4df4442794e97 | [
"BSD-3-Clause"
] | 17 | 2018-02-23T12:52:39.000Z | 2018-12-04T05:50:58.000Z | OBlog/blueprint/pages/main.py | OhYee/OBlog | a9d7e4fda5651cf9c5afd4c128c4df4442794e97 | [
"BSD-3-Clause"
] | 2 | 2018-06-16T20:52:23.000Z | 2021-04-08T15:29:44.000Z | from OBlog import database as db
from flask import g, current_app
import re
def getPages():
if not hasattr(g, "getPages"):
res = db.query_db('select * from pages;')
res.sort(key=lambda x: int(x["idx"]))
g.getPages = res
return g.getPages
def getPagesDict():
if not has... | 22.590164 | 96 | 0.576197 | 342 | 2,756 | 4.611111 | 0.254386 | 0.022194 | 0.025365 | 0.051363 | 0.357641 | 0.327838 | 0.220672 | 0.220672 | 0.220672 | 0.220672 | 0 | 0.009654 | 0.285922 | 2,756 | 121 | 97 | 22.77686 | 0.791667 | 0.00508 | 0 | 0.320513 | 0 | 0 | 0.077952 | 0.008024 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.064103 | 0.038462 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466a6d9821a84e031f7dcd282011c9bf05adc133 | 13,877 | py | Python | mogan/tests/unit/notifications/test_notification.py | GURUIFENG9139/rocky-mogan | 6008c1d12b00e70d2cc651f7bd5d47968fc3aec7 | [
"Apache-2.0"
] | null | null | null | mogan/tests/unit/notifications/test_notification.py | GURUIFENG9139/rocky-mogan | 6008c1d12b00e70d2cc651f7bd5d47968fc3aec7 | [
"Apache-2.0"
] | null | null | null | mogan/tests/unit/notifications/test_notification.py | GURUIFENG9139/rocky-mogan | 6008c1d12b00e70d2cc651f7bd5d47968fc3aec7 | [
"Apache-2.0"
] | null | null | null | # 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 agreed to in... | 41.423881 | 79 | 0.64906 | 1,394 | 13,877 | 6.229555 | 0.182927 | 0.025334 | 0.02211 | 0.028789 | 0.498042 | 0.452672 | 0.392906 | 0.349263 | 0.339705 | 0.324275 | 0 | 0.020819 | 0.255819 | 13,877 | 334 | 80 | 41.547904 | 0.820083 | 0.072782 | 0 | 0.43609 | 0 | 0 | 0.159424 | 0.059579 | 0 | 0 | 0 | 0 | 0.090226 | 1 | 0.052632 | false | 0 | 0.045113 | 0 | 0.139098 | 0.003759 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466b2847bd0a3e11bd815c4ef8485277011347fd | 1,208 | py | Python | plash/macros/packagemanagers.py | 0xflotus/plash | 9dd66a06413d5c1f12fd9a7e7b56a05b797ad309 | [
"MIT"
] | null | null | null | plash/macros/packagemanagers.py | 0xflotus/plash | 9dd66a06413d5c1f12fd9a7e7b56a05b797ad309 | [
"MIT"
] | null | null | null | plash/macros/packagemanagers.py | 0xflotus/plash | 9dd66a06413d5c1f12fd9a7e7b56a05b797ad309 | [
"MIT"
] | null | null | null | from plash.eval import eval, register_macro, shell_escape_args
@register_macro()
def defpm(name, *lines):
'define a new package manager'
@register_macro(name, group='package managers')
@shell_escape_args
def package_manager(*packages):
if not packages:
return
sh_packages =... | 18.875 | 69 | 0.537252 | 131 | 1,208 | 4.824427 | 0.427481 | 0.037975 | 0.061709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002288 | 0.27649 | 1,208 | 63 | 70 | 19.174603 | 0.720824 | 0.023179 | 0 | 0.333333 | 0 | 0 | 0.341887 | 0.021523 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035088 | false | 0 | 0.017544 | 0 | 0.087719 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466d26384d26ffba4886645e21f0b784ab726d0b | 470 | py | Python | example.py | ErikPel/rankedchoicevoting | 7ea9149d2d7f48d5b4c323537a701b7ccf8a8616 | [
"MIT"
] | 1 | 2021-11-25T07:50:10.000Z | 2021-11-25T07:50:10.000Z | example.py | ErikPel/rankedchoicevoting | 7ea9149d2d7f48d5b4c323537a701b7ccf8a8616 | [
"MIT"
] | null | null | null | example.py | ErikPel/rankedchoicevoting | 7ea9149d2d7f48d5b4c323537a701b7ccf8a8616 | [
"MIT"
] | null | null | null | from rankedchoicevoting import Poll
candidatesA = {"Bob": 0, "Sue": 0, "Bill": 0}
#votes in array sorted by first choice to last choice
votersA = {
"a": ['Bob', 'Bill', 'Sue'],
"b": ['Sue', 'Bob', 'Bill'],
"c": ['Bill', 'Sue', 'Bob'],
"d": ['Bob', 'Bill', 'Sue'],
"f": ['Sue', 'Bob', 'Bill']
}
el... | 24.736842 | 53 | 0.576596 | 59 | 470 | 4.59322 | 0.542373 | 0.103321 | 0.073801 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010256 | 0.170213 | 470 | 18 | 54 | 26.111111 | 0.684615 | 0.110638 | 0 | 0 | 0 | 0 | 0.199041 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 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 |
466dad9d3b71c7956f19885bfc3e8b7004d94303 | 1,923 | py | Python | distributed/register/application.py | ADKosm/concurrency | e3bda762ec12d8988ffda060f8842ffda5526f2b | [
"MIT"
] | null | null | null | distributed/register/application.py | ADKosm/concurrency | e3bda762ec12d8988ffda060f8842ffda5526f2b | [
"MIT"
] | null | null | null | distributed/register/application.py | ADKosm/concurrency | e3bda762ec12d8988ffda060f8842ffda5526f2b | [
"MIT"
] | null | null | null | import asyncio
import os
import time
from dataclasses import dataclass
import requests_unixsocket
from aiohttp import ClientSession, web
@dataclass(frozen=True)
class Replica:
replica_id: str
ip: str
is_self: bool
def replicas_discovery():
session = requests_unixsocket.Session()
number_of_repli... | 28.279412 | 115 | 0.651586 | 237 | 1,923 | 5.139241 | 0.392405 | 0.073892 | 0.039409 | 0.044335 | 0.106732 | 0.106732 | 0 | 0 | 0 | 0 | 0 | 0.012701 | 0.222049 | 1,923 | 67 | 116 | 28.701493 | 0.801471 | 0.021321 | 0 | 0.040816 | 0 | 0 | 0.114362 | 0.031915 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020408 | false | 0 | 0.122449 | 0 | 0.285714 | 0.040816 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466e8e7393dfb5f6f03f625478a37ff5c418e4db | 28,135 | py | Python | gsflow/gsflow.py | pygsflow/pygsflow | 83860cd58078017a65e1633b1192469777f1ce15 | [
"CC0-1.0",
"BSD-3-Clause"
] | 17 | 2019-11-11T02:49:29.000Z | 2022-02-17T03:45:19.000Z | gsflow/gsflow.py | pygsflow/pygsflow | 83860cd58078017a65e1633b1192469777f1ce15 | [
"CC0-1.0",
"BSD-3-Clause"
] | 21 | 2019-07-10T21:45:11.000Z | 2022-02-22T17:57:20.000Z | gsflow/gsflow.py | pygsflow/pygsflow | 83860cd58078017a65e1633b1192469777f1ce15 | [
"CC0-1.0",
"BSD-3-Clause"
] | 8 | 2019-11-11T02:49:36.000Z | 2021-09-30T18:43:45.000Z | # -*- coding: utf-8 -*-
import os
from .control import ControlFile
from .prms import PrmsModel
from .utils import gsflow_io, GsConstant
from .prms import Helper
from .modflow import Modflow
from .modsim import Modsim
import flopy
import subprocess as sp
import platform
import warnings
warnings.simplefilter("always", P... | 33.816106 | 95 | 0.530087 | 3,124 | 28,135 | 4.612356 | 0.116517 | 0.039697 | 0.014574 | 0.015823 | 0.414324 | 0.357485 | 0.296967 | 0.266084 | 0.246929 | 0.213269 | 0 | 0.00122 | 0.387951 | 28,135 | 831 | 96 | 33.856799 | 0.83554 | 0.221752 | 0 | 0.329167 | 0 | 0 | 0.072798 | 0.001076 | 0 | 0 | 0 | 0 | 0.004167 | 1 | 0.03125 | false | 0.004167 | 0.022917 | 0.002083 | 0.083333 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466e94eb6dad2cfea42284bb23559a0aba280ee0 | 6,818 | py | Python | tests/integration/storage_memory/test_storage_memory_write.py | Sam-Martin/cloud-wanderer | 1879f9bb150054be5bf33fd46a47414b4939529e | [
"MIT"
] | 1 | 2020-12-07T10:37:41.000Z | 2020-12-07T10:37:41.000Z | tests/integration/storage_memory/test_storage_memory_write.py | Sam-Martin/cloud-wanderer | 1879f9bb150054be5bf33fd46a47414b4939529e | [
"MIT"
] | null | null | null | tests/integration/storage_memory/test_storage_memory_write.py | Sam-Martin/cloud-wanderer | 1879f9bb150054be5bf33fd46a47414b4939529e | [
"MIT"
] | null | null | null | import logging
import pytest
from moto import mock_ec2, mock_iam, mock_sts
from cloudwanderer.cloud_wanderer_resource import CloudWandererResource
from cloudwanderer.storage_connectors import MemoryStorageConnector
from cloudwanderer.urn import URN
from tests.pytest_helpers import create_ec2_instances
logger = loggi... | 34.434343 | 109 | 0.661044 | 779 | 6,818 | 5.428755 | 0.136072 | 0.085127 | 0.028376 | 0.063845 | 0.70655 | 0.654055 | 0.610546 | 0.546938 | 0.447624 | 0.404824 | 0 | 0.036219 | 0.24274 | 6,818 | 197 | 110 | 34.609137 | 0.782878 | 0.020387 | 0 | 0.49697 | 0 | 0 | 0.08437 | 0.003447 | 0 | 0 | 0 | 0 | 0.078788 | 1 | 0.054545 | false | 0 | 0.042424 | 0.024242 | 0.127273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466f1e4523ee66d1060bcbe9b327e33221329528 | 3,745 | py | Python | tests/test_text_visualization.py | dianna-ai/dianna | 88bcaec001e640c35e5e1e08517ef1624fd661cb | [
"Apache-2.0"
] | 9 | 2021-11-16T09:53:47.000Z | 2022-03-02T13:28:53.000Z | tests/test_text_visualization.py | dianna-ai/dianna | 88bcaec001e640c35e5e1e08517ef1624fd661cb | [
"Apache-2.0"
] | 340 | 2021-03-03T12:55:37.000Z | 2022-03-31T13:53:44.000Z | tests/test_text_visualization.py | dianna-ai/dianna | 88bcaec001e640c35e5e1e08517ef1624fd661cb | [
"Apache-2.0"
] | 5 | 2021-08-19T08:14:35.000Z | 2022-03-17T21:12:46.000Z | import os
import re
import shutil
import unittest
from pathlib import Path
from dianna.visualization.text import highlight_text
class Example1:
original_text = 'Doloremque aliquam totam ut. Aspernatur repellendus autem quia deleniti. Natus accusamus ' \
'doloribus et in quam officiis veniam et... | 42.556818 | 131 | 0.646996 | 450 | 3,745 | 5.177778 | 0.331111 | 0.066953 | 0.051502 | 0.061803 | 0.399142 | 0.373391 | 0.358798 | 0.358798 | 0.333906 | 0.305579 | 0 | 0.124913 | 0.234713 | 3,745 | 87 | 132 | 43.045977 | 0.688067 | 0.073965 | 0 | 0.206349 | 0 | 0.047619 | 0.157667 | 0.049668 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.126984 | false | 0 | 0.095238 | 0 | 0.396825 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
466fca56f7b6e59caf823a738ec5c36d18b27c25 | 2,983 | py | Python | setup.py | guilhermeleobas/rbc | 4b568b91c6ce3ef7727fee001169302c3803c4fd | [
"BSD-3-Clause"
] | null | null | null | setup.py | guilhermeleobas/rbc | 4b568b91c6ce3ef7727fee001169302c3803c4fd | [
"BSD-3-Clause"
] | null | null | null | setup.py | guilhermeleobas/rbc | 4b568b91c6ce3ef7727fee001169302c3803c4fd | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
import builtins
import versioneer
if sys.version_info[:2] < (3, 7):
raise RuntimeError("Python version >= 3.7 required.")
builtins.__RBC_SETUP__ = True
if os.path.exists('MANIFEST'):
os.remove('MANIFEST')
CONDA_BUILD = int(os.environ.get('CONDA_BUILD', '0'))
CONDA_ENV = os.environ.get('... | 32.78022 | 76 | 0.650352 | 358 | 2,983 | 5.26257 | 0.49162 | 0.031847 | 0.053079 | 0.055202 | 0.035032 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008407 | 0.242373 | 2,983 | 90 | 77 | 33.144444 | 0.825221 | 0.087831 | 0 | 0 | 0 | 0 | 0.366986 | 0.024687 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013889 | false | 0 | 0.069444 | 0 | 0.097222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4671cf40aee848a7cf0a11db6406cdad41f3981d | 7,667 | py | Python | src/pynwb/retinotopy.py | weiglszonja/pynwb | 441c64f332b32eb8141a9d03d92e0fda2fd1ad83 | [
"BSD-3-Clause-LBNL"
] | 132 | 2017-08-05T00:35:18.000Z | 2022-03-22T08:14:18.000Z | src/pynwb/retinotopy.py | weiglszonja/pynwb | 441c64f332b32eb8141a9d03d92e0fda2fd1ad83 | [
"BSD-3-Clause-LBNL"
] | 1,273 | 2017-08-04T05:14:47.000Z | 2022-03-28T13:00:27.000Z | src/pynwb/retinotopy.py | weiglszonja/pynwb | 441c64f332b32eb8141a9d03d92e0fda2fd1ad83 | [
"BSD-3-Clause-LBNL"
] | 68 | 2017-08-04T16:45:19.000Z | 2022-03-22T08:14:15.000Z | from collections.abc import Iterable
import warnings
from hdmf.utils import docval, popargs, call_docval_func, get_docval
from . import register_class, CORE_NAMESPACE
from .core import NWBDataInterface, NWBData
class RetinotopyImage(NWBData):
"""Gray-scale anatomical image of cortical surface. Array structure: ... | 52.513699 | 119 | 0.626842 | 945 | 7,667 | 4.831746 | 0.226455 | 0.032852 | 0.033728 | 0.017083 | 0.464739 | 0.425099 | 0.380859 | 0.362681 | 0.303548 | 0.272449 | 0 | 0.006747 | 0.24612 | 7,667 | 145 | 120 | 52.875862 | 0.783218 | 0.142429 | 0 | 0.135922 | 0 | 0 | 0.380872 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048544 | false | 0 | 0.048544 | 0 | 0.194175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4676a784f66c68a2faf6e33e2c3d3bf09c476661 | 1,652 | py | Python | home/vscode/extensions/ms-python.python-2021.12.1559732655/pythonFiles/lib/python/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_cython_wrapper.py | qwertzy-antonio-godinho/dots | 65cd657f785e7da3a3ccb1a808c0fc1b8496e5b1 | [
"Apache-2.0"
] | 6 | 2021-12-26T13:34:32.000Z | 2022-02-08T22:09:38.000Z | src/ptvsd/_vendored/pydevd/_pydevd_bundle/pydevd_cython_wrapper.py | ev3dev/ptvsd | cea22767dd78a812a14e2330a540a368f615224e | [
"MIT"
] | 8 | 2020-07-19T23:39:31.000Z | 2022-02-27T01:38:46.000Z | vscode/extensions/ms-python.python-2020.3.69010/pythonFiles/lib/python/old_ptvsd/ptvsd/_vendored/pydevd/_pydevd_bundle/pydevd_cython_wrapper.py | Adespinoza/dotfiles | e2509402a7fd2623a3ea401b6f9fcbf6a372fc60 | [
"CC0-1.0"
] | 3 | 2020-08-04T02:48:32.000Z | 2020-08-17T01:20:09.000Z | import sys
try:
try:
from _pydevd_bundle_ext import pydevd_cython as mod
except ImportError:
from _pydevd_bundle import pydevd_cython as mod
except ImportError:
import struct
try:
is_python_64bit = (struct.calcsize('P') == 8)
except:
# In Jython this ... | 31.169811 | 107 | 0.725787 | 234 | 1,652 | 4.747863 | 0.452991 | 0.064806 | 0.068407 | 0.082808 | 0.254725 | 0.127813 | 0.127813 | 0.055806 | 0 | 0 | 0 | 0.018293 | 0.205811 | 1,652 | 52 | 108 | 31.769231 | 0.828506 | 0.27724 | 0 | 0.185185 | 0 | 0 | 0.071681 | 0.046018 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.296296 | 0 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4677191c1771ec77d8d7c68a2a88766f05fcf790 | 2,843 | py | Python | tests/test_thumbnails.py | pypeclub/openpype4-tests | c0c32b643f63e66609772270fff71e88dcd5b922 | [
"Apache-2.0"
] | null | null | null | tests/test_thumbnails.py | pypeclub/openpype4-tests | c0c32b643f63e66609772270fff71e88dcd5b922 | [
"Apache-2.0"
] | null | null | null | tests/test_thumbnails.py | pypeclub/openpype4-tests | c0c32b643f63e66609772270fff71e88dcd5b922 | [
"Apache-2.0"
] | null | null | null | from tests.fixtures import api, PROJECT_NAME
assert api
THUMB_DATA1 = b"thisisaveryrandomthumbnailcontent"
THUMB_DATA2 = b"thisihbhihjhuuyiooanothbnlcontent"
def test_folder_thumbnail(api):
response = api.post(
f"projects/{PROJECT_NAME}/folders",
name="testicek",
folderType="Asset",
... | 23.890756 | 86 | 0.65248 | 343 | 2,843 | 5.247813 | 0.215743 | 0.091667 | 0.124444 | 0.155556 | 0.657222 | 0.639444 | 0.603889 | 0.595556 | 0.506111 | 0.407222 | 0 | 0.006449 | 0.23637 | 2,843 | 118 | 87 | 24.09322 | 0.822662 | 0.136124 | 0 | 0.506849 | 0 | 0 | 0.327332 | 0.288462 | 0 | 0 | 0 | 0 | 0.178082 | 1 | 0.027397 | false | 0 | 0.013699 | 0 | 0.041096 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
467b69ecaf5ca591ddc3465f82457df4ea005caa | 448 | py | Python | Mod 03/03 Prova.py | SauloCav/CN | e8de20dbcf1b3ff043743728b7dde2eff1ae8f87 | [
"MIT"
] | null | null | null | Mod 03/03 Prova.py | SauloCav/CN | e8de20dbcf1b3ff043743728b7dde2eff1ae8f87 | [
"MIT"
] | null | null | null | Mod 03/03 Prova.py | SauloCav/CN | e8de20dbcf1b3ff043743728b7dde2eff1ae8f87 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
import math
def f(x):
return math.exp(x)/x**3
def int(a,b):
h = (b-a)/104
x_par = a+h
x_impar = a+2*h
soma_par = 0
soma_impar = 0
for i in range(52):
soma_par += f(x_par)
x_par += 2*h
for i in range(51):
soma_impar... | 18.666667 | 58 | 0.504464 | 88 | 448 | 2.431818 | 0.409091 | 0.028037 | 0.056075 | 0.102804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072131 | 0.319196 | 448 | 23 | 59 | 19.478261 | 0.629508 | 0.098214 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.058824 | 0.058824 | 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 |
467ea3052543109008b133a68620b40cb725a84a | 2,055 | py | Python | almetro/al.py | arnour/almetro | 7d00b1bb746b49dc9dd464395abdf4fe93f028fe | [
"Apache-2.0"
] | null | null | null | almetro/al.py | arnour/almetro | 7d00b1bb746b49dc9dd464395abdf4fe93f028fe | [
"Apache-2.0"
] | 1 | 2019-08-21T23:02:49.000Z | 2019-08-21T23:02:49.000Z | almetro/al.py | arnour/almetro | 7d00b1bb746b49dc9dd464395abdf4fe93f028fe | [
"Apache-2.0"
] | null | null | null | from almetro.instance import growing
from almetro.metro import Metro
import timeit
class ExecutionSettings:
def __init__(self, trials=1, runs=1):
if not trials or trials < 1:
raise TypeError('#trials must be provided')
if not runs or runs < 1:
raise TypeError('#runs must be... | 34.830508 | 139 | 0.685158 | 222 | 2,055 | 6.117117 | 0.193694 | 0.11782 | 0.061856 | 0.035346 | 0.041973 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003814 | 0.23455 | 2,055 | 58 | 140 | 35.431034 | 0.859504 | 0 | 0 | 0.088889 | 0 | 0 | 0.081265 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.066667 | 0.088889 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
467fe487527b89370f3c2d1bfc1b416969557a05 | 31,434 | py | Python | yt_dlp/extractor/archiveorg.py | mrBliss/yt-dlp | aecd021656b672dbb617e5bae54a8986f9c4ebaf | [
"Unlicense"
] | 80 | 2021-05-25T11:33:49.000Z | 2022-03-29T20:36:53.000Z | yt_dlp/extractor/archiveorg.py | mrBliss/yt-dlp | aecd021656b672dbb617e5bae54a8986f9c4ebaf | [
"Unlicense"
] | 53 | 2017-04-12T19:53:18.000Z | 2022-02-22T10:33:13.000Z | yt_dlp/extractor/archiveorg.py | mrBliss/yt-dlp | aecd021656b672dbb617e5bae54a8986f9c4ebaf | [
"Unlicense"
] | 22 | 2021-05-07T05:01:27.000Z | 2022-03-26T19:10:54.000Z | # coding: utf-8
from __future__ import unicode_literals
import re
import json
from .common import InfoExtractor
from .youtube import YoutubeIE, YoutubeBaseInfoExtractor
from ..compat import (
compat_urllib_parse_unquote,
compat_urllib_parse_unquote_plus,
compat_HTTPError
)
from ..utils import (
bug_rep... | 46.776786 | 213 | 0.558822 | 3,303 | 31,434 | 5.140176 | 0.215864 | 0.027683 | 0.022971 | 0.021027 | 0.246672 | 0.198139 | 0.157734 | 0.117387 | 0.10331 | 0.080928 | 0 | 0.058459 | 0.292009 | 31,434 | 671 | 214 | 46.846498 | 0.704426 | 0.055481 | 0 | 0.168367 | 0 | 0.02381 | 0.372193 | 0.094321 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015306 | false | 0 | 0.011905 | 0.001701 | 0.073129 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4681cb44945ca44b04cb55846c39c0d1d3ca721a | 5,589 | py | Python | 08/postgresql_demo.py | catcherwong-archive/2019 | f9672920113b1ec0a5fcd6a6bde681f62d805763 | [
"MIT"
] | 27 | 2019-04-07T15:31:53.000Z | 2021-08-28T16:18:34.000Z | 08/postgresql_demo.py | hca1120/2019 | 09e5f49407b8239409e857f8117877eedb6b0134 | [
"MIT"
] | 5 | 2019-08-10T08:19:28.000Z | 2022-02-11T02:38:41.000Z | 08/postgresql_demo.py | hca1120/2019 | 09e5f49407b8239409e857f8117877eedb6b0134 | [
"MIT"
] | 31 | 2019-04-07T15:31:57.000Z | 2022-02-02T20:36:58.000Z | # -*- coding: UTF-8 -*-
import psycopg2 #postgresql
import time
import datetime
class PgDemo:
def __init__(self, host, port, db, user, pwd):
self.host = host
self.port = port
self.db = db
self.user = user
self.pwd = pwd
def getConnection(s... | 35.598726 | 138 | 0.429236 | 560 | 5,589 | 4.217857 | 0.201786 | 0.007621 | 0.050381 | 0.059272 | 0.596952 | 0.553345 | 0.485182 | 0.419136 | 0.359865 | 0.248942 | 0 | 0.017919 | 0.430846 | 5,589 | 157 | 139 | 35.598726 | 0.724615 | 0.011451 | 0 | 0.430894 | 0 | 0 | 0.185123 | 0.060403 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081301 | false | 0.00813 | 0.02439 | 0 | 0.146341 | 0.195122 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46821c4a15686b2fb3b7ea49bee70f910667b4c7 | 36,931 | py | Python | jaqs/trade/analyze/analyze.py | WayneWan413/JAQS | e7362fc261f49dd7a4353c9a9a3f98d6ef9a78b4 | [
"Apache-2.0"
] | null | null | null | jaqs/trade/analyze/analyze.py | WayneWan413/JAQS | e7362fc261f49dd7a4353c9a9a3f98d6ef9a78b4 | [
"Apache-2.0"
] | null | null | null | jaqs/trade/analyze/analyze.py | WayneWan413/JAQS | e7362fc261f49dd7a4353c9a9a3f98d6ef9a78b4 | [
"Apache-2.0"
] | null | null | null | # encoding: utf-8
from __future__ import print_function
import os
import json
from collections import OrderedDict
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.ticker import Formatter
from jaqs.trade.analyze.report import Report
from jaqs.data import ... | 39.583065 | 139 | 0.584198 | 4,670 | 36,931 | 4.402141 | 0.110493 | 0.009339 | 0.008853 | 0.010507 | 0.399893 | 0.324497 | 0.285144 | 0.267682 | 0.239955 | 0.223806 | 0 | 0.015383 | 0.28185 | 36,931 | 932 | 140 | 39.625536 | 0.759747 | 0.078037 | 0 | 0.230503 | 0 | 0 | 0.116108 | 0.003151 | 0 | 0 | 0 | 0.003219 | 0.003466 | 1 | 0.071057 | false | 0.003466 | 0.02773 | 0 | 0.136915 | 0.02773 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
468313da2c3cc1e70694859bf5264667fcd82781 | 8,935 | py | Python | build_tools/docker/manage_images.py | BernhardRiemann/iree | 471349762b316f7d6b83eb5f9089255d78052758 | [
"Apache-2.0"
] | 1 | 2021-03-15T13:53:30.000Z | 2021-03-15T13:53:30.000Z | build_tools/docker/manage_images.py | BernhardRiemann/iree | 471349762b316f7d6b83eb5f9089255d78052758 | [
"Apache-2.0"
] | null | null | null | build_tools/docker/manage_images.py | BernhardRiemann/iree | 471349762b316f7d6b83eb5f9089255d78052758 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... | 32.140288 | 80 | 0.675993 | 1,191 | 8,935 | 4.922754 | 0.248531 | 0.024561 | 0.020297 | 0.013304 | 0.183012 | 0.13679 | 0.103019 | 0.060379 | 0.046393 | 0.036159 | 0 | 0.005301 | 0.197762 | 8,935 | 277 | 81 | 32.256318 | 0.81264 | 0.179407 | 0 | 0.145 | 0 | 0 | 0.300603 | 0.039989 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.035 | 0 | 0.11 | 0.09 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4684141f6543556bf465b101be71f060f3b08131 | 27,570 | py | Python | suncasa/pygsfit/gsutils.py | wyq24/suncasa | e6ed6d8b9bd2186c4af6d0354d03af5fff9aef7a | [
"BSD-2-Clause"
] | null | null | null | suncasa/pygsfit/gsutils.py | wyq24/suncasa | e6ed6d8b9bd2186c4af6d0354d03af5fff9aef7a | [
"BSD-2-Clause"
] | null | null | null | suncasa/pygsfit/gsutils.py | wyq24/suncasa | e6ed6d8b9bd2186c4af6d0354d03af5fff9aef7a | [
"BSD-2-Clause"
] | null | null | null | import numpy as np
# import sys
import math
import os, sys, platform
import astropy.units as u
from sunpy import map as smap
from astropy.coordinates import SkyCoord
from suncasa.io import ndfits
import lmfit
from astropy.time import Time
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplot... | 40.784024 | 145 | 0.551904 | 3,805 | 27,570 | 3.889093 | 0.171091 | 0.002568 | 0.008109 | 0.009934 | 0.353629 | 0.292607 | 0.272942 | 0.24652 | 0.236045 | 0.206717 | 0 | 0.037092 | 0.311571 | 27,570 | 675 | 146 | 40.844444 | 0.742571 | 0.149837 | 0 | 0.215385 | 0 | 0.001923 | 0.03375 | 0.002276 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028846 | false | 0 | 0.044231 | 0.001923 | 0.096154 | 0.009615 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4685248be49c1c014500014593ebd58e99994652 | 1,496 | py | Python | msgvis/apps/questions/migrations/0001_initial.py | hds-lab/textvis-drg | bfb136b6105df84fb6c1c89cc595bf9e9f22c5fe | [
"MIT"
] | 10 | 2015-12-04T07:43:11.000Z | 2021-01-23T00:44:56.000Z | msgvis/apps/questions/migrations/0001_initial.py | hds-lab/textvis-drg | bfb136b6105df84fb6c1c89cc595bf9e9f22c5fe | [
"MIT"
] | 200 | 2015-02-11T05:41:57.000Z | 2015-11-13T03:47:25.000Z | msgvis/apps/questions/migrations/0001_initial.py | hds-lab/textvis-drg | bfb136b6105df84fb6c1c89cc595bf9e9f22c5fe | [
"MIT"
] | 6 | 2015-10-02T18:01:09.000Z | 2021-01-23T00:44:58.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('dimensions', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Article',
fields=[
... | 36.487805 | 114 | 0.556818 | 137 | 1,496 | 5.963504 | 0.430657 | 0.080783 | 0.107711 | 0.127295 | 0.4847 | 0.423501 | 0.423501 | 0.423501 | 0.423501 | 0.19339 | 0 | 0.016175 | 0.29746 | 1,496 | 40 | 115 | 37.4 | 0.76118 | 0.014037 | 0 | 0.411765 | 0 | 0 | 0.086219 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.147059 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4685622823bb3cb792b6697fa854e6d940a37ece | 7,412 | py | Python | test/test_check_alert.py | russ-lewis/cs120-queuebot | 6b121ef9b0d7db7bbb1810f71129d995ce6a1659 | [
"MIT"
] | null | null | null | test/test_check_alert.py | russ-lewis/cs120-queuebot | 6b121ef9b0d7db7bbb1810f71129d995ce6a1659 | [
"MIT"
] | null | null | null | test/test_check_alert.py | russ-lewis/cs120-queuebot | 6b121ef9b0d7db7bbb1810f71129d995ce6a1659 | [
"MIT"
] | 1 | 2021-05-18T02:32:54.000Z | 2021-05-18T02:32:54.000Z | import io
import sys
import unittest
import asyncio
import random
from contextlib import redirect_stdout
from .utils import *
from queuebot import QueueBot, QueueConfig, DiscordUser
config = {
"SECRET_TOKEN": "NOONEWILLEVERGUESSTHISSUPERSECRETSTRINGMWAHAHAHA",
"TA_ROLES": ["UGTA"],
"LISTEN_CHANNELS": ["jo... | 34.314815 | 91 | 0.625472 | 974 | 7,412 | 4.51232 | 0.152977 | 0.043003 | 0.043686 | 0.036405 | 0.622981 | 0.600228 | 0.553129 | 0.516951 | 0.463026 | 0.463026 | 0 | 0.008242 | 0.263357 | 7,412 | 215 | 92 | 34.474419 | 0.79652 | 0.03953 | 0 | 0.412903 | 0 | 0 | 0.075408 | 0.009989 | 0 | 0 | 0 | 0.004651 | 0.122581 | 1 | 0.064516 | false | 0 | 0.051613 | 0 | 0.129032 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46869ee7c4058bcc60c1e873b09ca6bac3bb10d7 | 2,556 | py | Python | tests/common/test_run/triangle_run.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | tests/common/test_run/triangle_run.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | tests/common/test_run/triangle_run.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 35.5 | 114 | 0.711659 | 375 | 2,556 | 4.666667 | 0.381333 | 0.051429 | 0.034286 | 0.034286 | 0.229714 | 0.215429 | 0.196571 | 0.154286 | 0.154286 | 0.057714 | 0 | 0.01305 | 0.190532 | 2,556 | 71 | 115 | 36 | 0.832769 | 0.225352 | 0 | 0.116279 | 0 | 0 | 0.076336 | 0.04631 | 0 | 0 | 0 | 0 | 0.046512 | 1 | 0.069767 | false | 0 | 0.139535 | 0.023256 | 0.27907 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46873638ac399bb3c28bf800bc92bbfd39940934 | 15,189 | py | Python | orio/main/tuner/tuner.py | parsabee/Orio | 64de0f7ee422483b60a9f02793472e20e864aa08 | [
"MIT"
] | 24 | 2015-01-26T03:14:19.000Z | 2021-09-27T23:10:12.000Z | orio/main/tuner/tuner.py | parsabee/Orio | 64de0f7ee422483b60a9f02793472e20e864aa08 | [
"MIT"
] | 30 | 2015-04-17T18:14:27.000Z | 2021-05-30T15:01:47.000Z | orio/main/tuner/tuner.py | parsabee/Orio | 64de0f7ee422483b60a9f02793472e20e864aa08 | [
"MIT"
] | 20 | 2015-02-11T08:20:19.000Z | 2022-01-15T17:55:00.000Z | #
# The tuner class to initiate the empirical performance tuning process
#
import re, sys, os
from orio.main.util.globals import *
import orio.main.dyn_loader, orio.main.tspec.tspec, orio.main.tuner.ptest_codegen, orio.main.tuner.ptest_driver
#--------------------------------------------------
# the name of the mo... | 43.397143 | 169 | 0.55448 | 1,621 | 15,189 | 4.977175 | 0.20913 | 0.021691 | 0.019336 | 0.015617 | 0.246777 | 0.174145 | 0.129028 | 0.129028 | 0.116262 | 0.104115 | 0 | 0.004251 | 0.334058 | 15,189 | 349 | 170 | 43.52149 | 0.793376 | 0.200342 | 0 | 0.162562 | 0 | 0.004926 | 0.103923 | 0.012688 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029557 | false | 0 | 0.019704 | 0 | 0.083744 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46882caba8a1bc1cb57f8753adac56b5f9b622b8 | 1,862 | py | Python | verify_data.py | goowell/DrAdvice | d1f9d70671500599b3a36eb9c83390e39c521d25 | [
"MIT"
] | null | null | null | verify_data.py | goowell/DrAdvice | d1f9d70671500599b3a36eb9c83390e39c521d25 | [
"MIT"
] | null | null | null | verify_data.py | goowell/DrAdvice | d1f9d70671500599b3a36eb9c83390e39c521d25 | [
"MIT"
] | null | null | null | from transformer import *
from logger import logger
def find_missing():
from db import paients_source, paients_info
import re
for pi in paients_info.find():
if paients_source.find({'_id': re.compile(pi['住院号'], re.IGNORECASE)}).count()>0:
pass
else:
print(pi['住院号'])
... | 29.09375 | 119 | 0.538131 | 236 | 1,862 | 4.072034 | 0.292373 | 0.033299 | 0.093652 | 0.033299 | 0.334027 | 0.209157 | 0.157128 | 0.05411 | 0.05411 | 0 | 0 | 0.007918 | 0.321697 | 1,862 | 64 | 120 | 29.09375 | 0.752969 | 0.059613 | 0 | 0.2 | 0 | 0 | 0.165011 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0.02 | 0.12 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46885ee1267724c58d93c90bd0626ea4f768c7c7 | 1,904 | py | Python | jvm-packages/cudautils.py | NVIDIA/spark-xgboost | 983159f52784e3d9dfd8e9957c5f8ca18e64f934 | [
"Apache-2.0"
] | 15 | 2020-06-11T02:20:26.000Z | 2022-03-09T07:18:23.000Z | jvm-packages/cudautils.py | NVIDIA/spark-xgboost | 983159f52784e3d9dfd8e9957c5f8ca18e64f934 | [
"Apache-2.0"
] | 4 | 2021-01-20T03:24:23.000Z | 2021-11-01T05:33:38.000Z | jvm-packages/cudautils.py | NVIDIA/spark-xgboost | 983159f52784e3d9dfd8e9957c5f8ca18e64f934 | [
"Apache-2.0"
] | 6 | 2020-06-24T03:28:58.000Z | 2021-10-01T16:04:11.000Z | #!/usr/bin/env python
import os
import re
import subprocess
import sys
# version -> classifier
# '' means default classifier
cuda_vers = {
'11.2': ['cuda11', '']
}
def check_classifier(classifier):
'''
Check the mapping from cuda version to jar classifier.
Used by maven build.
'''
cu_ver = detec... | 25.386667 | 108 | 0.644958 | 255 | 1,904 | 4.588235 | 0.333333 | 0.035897 | 0.055556 | 0.025641 | 0.123077 | 0.076923 | 0.076923 | 0.076923 | 0.076923 | 0.076923 | 0 | 0.010149 | 0.22374 | 1,904 | 74 | 109 | 25.72973 | 0.781461 | 0.161765 | 0 | 0.139535 | 0 | 0 | 0.137705 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.139535 | false | 0 | 0.093023 | 0.023256 | 0.348837 | 0.093023 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4689c871990ae00114397708dbcc29fc3f6a6ac6 | 5,087 | py | Python | support/models.py | gurupratap-matharu/django-tickets-app | 8200af606e382f8806511c318961589f34375cdf | [
"MIT"
] | 1 | 2020-10-16T16:37:04.000Z | 2020-10-16T16:37:04.000Z | support/models.py | gurupratap-matharu/django-tickets-app | 8200af606e382f8806511c318961589f34375cdf | [
"MIT"
] | null | null | null | support/models.py | gurupratap-matharu/django-tickets-app | 8200af606e382f8806511c318961589f34375cdf | [
"MIT"
] | null | null | null | import pytz
from datetime import date, time, datetime, timedelta
from django.core.exceptions import ValidationError
from django.db import models
START_HOUR = 9
END_HOUR = 18
workingHours = END_HOUR - START_HOUR
class Vendor(models.Model):
"""
This class defines which vendors are allowed raise tickets with ... | 30.279762 | 98 | 0.649892 | 669 | 5,087 | 4.853513 | 0.310912 | 0.016631 | 0.027718 | 0.036957 | 0.169695 | 0.091469 | 0.012935 | 0.012935 | 0 | 0 | 0 | 0.018049 | 0.248477 | 5,087 | 167 | 99 | 30.461078 | 0.831284 | 0.274818 | 0 | 0.125 | 0 | 0 | 0.098268 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.104167 | false | 0 | 0.041667 | 0.041667 | 0.458333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
468a1af4f4a7334446b0e0152db92174a4f3295b | 424 | py | Python | test/conftest.py | alexandonian/lightning | 90350fd454cd7a51c35adadf5b9753868ac6dccd | [
"Apache-2.0"
] | null | null | null | test/conftest.py | alexandonian/lightning | 90350fd454cd7a51c35adadf5b9753868ac6dccd | [
"Apache-2.0"
] | null | null | null | test/conftest.py | alexandonian/lightning | 90350fd454cd7a51c35adadf5b9753868ac6dccd | [
"Apache-2.0"
] | null | null | null | import pytest
# import station
def pytest_addoption(parser):
parser.addoption("--engine", action="store", default="local",
help="engine to run tests with")
@pytest.fixture(scope='module')
def eng(request):
engine = request.config.getoption("--engine")
if engine == 'local':
... | 23.555556 | 66 | 0.625 | 48 | 424 | 5.5 | 0.604167 | 0.060606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.235849 | 424 | 17 | 67 | 24.941176 | 0.814815 | 0.033019 | 0 | 0 | 0 | 0 | 0.161765 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.083333 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
468ce700bfaf82c4969d9da9bf954d79c010ee00 | 7,960 | py | Python | pytorch_translate/dual_learning/dual_learning_models.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | 1 | 2020-07-24T10:59:17.000Z | 2020-07-24T10:59:17.000Z | pytorch_translate/dual_learning/dual_learning_models.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | null | null | null | pytorch_translate/dual_learning/dual_learning_models.py | dzhulgakov/translate | 018d3eed8d93ff32e86c912e68045c7a3f4ed0b7 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import logging
import torch.nn as nn
from fairseq import checkpoint_utils
from fairseq.models import BaseFairseqModel, register_model
from pytorch_translate import rnn
from pytorch_translate.rnn import (
LSTMSequenceEncoder,
RNNDecoder,
RNNEncoder,
RNNModel,
base_architectur... | 38.829268 | 91 | 0.650377 | 905 | 7,960 | 5.379006 | 0.19558 | 0.031635 | 0.017256 | 0.015612 | 0.527527 | 0.506574 | 0.494248 | 0.494248 | 0.462613 | 0.440838 | 0 | 0.001558 | 0.274121 | 7,960 | 204 | 92 | 39.019608 | 0.840948 | 0.103518 | 0 | 0.429448 | 0 | 0 | 0.063836 | 0.010402 | 0 | 0 | 0 | 0.009804 | 0 | 1 | 0.03681 | false | 0 | 0.042945 | 0.006135 | 0.110429 | 0.01227 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
468df8250e372c77ba85fdae3eaf93df4bca1fda | 3,382 | py | Python | h2o-py/tests/testdir_generic_model/pyunit_generic_model_mojo_glm.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 1 | 2022-03-15T06:08:14.000Z | 2022-03-15T06:08:14.000Z | h2o-py/tests/testdir_generic_model/pyunit_generic_model_mojo_glm.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | 58 | 2021-10-01T12:43:37.000Z | 2021-12-08T22:58:43.000Z | h2o-py/tests/testdir_generic_model/pyunit_generic_model_mojo_glm.py | vishalbelsare/h2o-3 | 9322fb0f4c0e2358449e339a434f607d524c69fa | [
"Apache-2.0"
] | null | null | null | import tempfile
import os
import sys
sys.path.insert(1,"../../")
import h2o
from h2o.estimators import H2OGeneralizedLinearEstimator, H2OGenericEstimator
from tests import pyunit_utils
from tests.testdir_generic_model import compare_output, Capturing, compare_params
def test(x, y, output_test, strip_part, algo_name, ... | 46.328767 | 136 | 0.77262 | 412 | 3,382 | 5.944175 | 0.247573 | 0.084524 | 0.063699 | 0.089833 | 0.320131 | 0.235198 | 0.196815 | 0.108616 | 0.108616 | 0.103716 | 0 | 0.006443 | 0.128031 | 3,382 | 72 | 137 | 46.972222 | 0.824008 | 0.01508 | 0 | 0 | 0 | 0 | 0.189002 | 0.079026 | 0 | 0 | 0 | 0 | 0.140351 | 1 | 0.087719 | false | 0 | 0.175439 | 0 | 0.263158 | 0.035088 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
468f2faee1688669d20b891ff6fb1ee641d68824 | 9,160 | py | Python | test/HPE3ParClient_base.py | jyotsnalothe/python-3parclient | aa6ece402c2e3e83cae102f04ffc83f9e2421bf3 | [
"Apache-2.0"
] | 35 | 2015-12-03T16:46:11.000Z | 2022-01-19T10:50:35.000Z | test/HPE3ParClient_base.py | jyotsnalothe/python-3parclient | aa6ece402c2e3e83cae102f04ffc83f9e2421bf3 | [
"Apache-2.0"
] | 57 | 2015-12-01T00:34:39.000Z | 2022-03-25T12:00:50.000Z | test/HPE3ParClient_base.py | jyotsnalothe/python-3parclient | aa6ece402c2e3e83cae102f04ffc83f9e2421bf3 | [
"Apache-2.0"
] | 64 | 2016-04-24T00:22:43.000Z | 2021-08-06T09:29:38.000Z | # (c) Copyright 2015 Hewlett Packard Enterprise Development LP
#
# 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... | 37.235772 | 78 | 0.533188 | 982 | 9,160 | 4.825866 | 0.261711 | 0.048533 | 0.023634 | 0.016881 | 0.227052 | 0.160793 | 0.127875 | 0.127875 | 0.127875 | 0.067947 | 0 | 0.011148 | 0.373253 | 9,160 | 245 | 79 | 37.387755 | 0.814318 | 0.116157 | 0 | 0.259459 | 0 | 0 | 0.096378 | 0.006202 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037838 | false | 0.048649 | 0.07027 | 0 | 0.189189 | 0.07027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
468fc07953c8147b25a2f944027c5638901e823c | 4,452 | py | Python | test/drivers/second_quantization/hdf5d/test_driver_hdf5.py | jschuhmac/qiskit-nature | b8b1181d951cf8fa76fe0db9e5ea192dad5fb186 | [
"Apache-2.0"
] | null | null | null | test/drivers/second_quantization/hdf5d/test_driver_hdf5.py | jschuhmac/qiskit-nature | b8b1181d951cf8fa76fe0db9e5ea192dad5fb186 | [
"Apache-2.0"
] | null | null | null | test/drivers/second_quantization/hdf5d/test_driver_hdf5.py | jschuhmac/qiskit-nature | b8b1181d951cf8fa76fe0db9e5ea192dad5fb186 | [
"Apache-2.0"
] | null | null | null | # This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 39.75 | 99 | 0.655885 | 529 | 4,452 | 5.372401 | 0.353497 | 0.034483 | 0.038705 | 0.021112 | 0.298733 | 0.259324 | 0.240324 | 0.178044 | 0.178044 | 0.178044 | 0 | 0.014364 | 0.265049 | 4,452 | 111 | 100 | 40.108108 | 0.854218 | 0.235624 | 0 | 0.328767 | 0 | 0 | 0.160321 | 0.05235 | 0 | 0 | 0 | 0 | 0.013699 | 1 | 0.041096 | false | 0 | 0.150685 | 0 | 0.219178 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
469076a38899f95c1e7c8c2bdfb61492327f8f5d | 11,269 | py | Python | 01_test_pytorch.py | yokaji/dcase2021_task2_baseline_ae | 47b621e6abd0502fed2123c31c61b081bce5c223 | [
"MIT"
] | null | null | null | 01_test_pytorch.py | yokaji/dcase2021_task2_baseline_ae | 47b621e6abd0502fed2123c31c61b081bce5c223 | [
"MIT"
] | null | null | null | 01_test_pytorch.py | yokaji/dcase2021_task2_baseline_ae | 47b621e6abd0502fed2123c31c61b081bce5c223 | [
"MIT"
] | null | null | null | ########################################################################
# import default libraries
########################################################################
import os
import csv
import sys
import gc
########################################################################
####################... | 50.308036 | 151 | 0.460112 | 1,059 | 11,269 | 4.66289 | 0.20491 | 0.035642 | 0.028352 | 0.018226 | 0.349737 | 0.294249 | 0.269542 | 0.241798 | 0.219927 | 0.134467 | 0 | 0.004267 | 0.334457 | 11,269 | 223 | 152 | 50.533632 | 0.654133 | 0.067708 | 0 | 0.162963 | 0 | 0 | 0.12135 | 0.026106 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007407 | false | 0 | 0.103704 | 0 | 0.111111 | 0.044444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4691f105e7b4e6d56ef7ec3a85a8060f44a867c1 | 579 | py | Python | doc/filters.py | CargobaseDev/openpyxl | 782ba90d26be452379fc06f45227e12bca9bade4 | [
"MIT"
] | 6 | 2018-05-15T05:08:52.000Z | 2021-12-23T12:31:28.000Z | doc/filters.py | CargobaseDev/openpyxl | 782ba90d26be452379fc06f45227e12bca9bade4 | [
"MIT"
] | 1 | 2022-01-01T15:08:26.000Z | 2022-01-01T15:08:36.000Z | doc/filters.py | CargobaseDev/openpyxl | 782ba90d26be452379fc06f45227e12bca9bade4 | [
"MIT"
] | 6 | 2020-03-23T15:59:14.000Z | 2021-09-18T09:54:57.000Z | from openpyxl import Workbook
wb = Workbook()
ws = wb.active
data = [
["Fruit", "Quantity"],
["Kiwi", 3],
["Grape", 15],
["Apple", 3],
["Peach", 3],
["Pomegranate", 3],
["Pear", 3],
["Tangerine", 3],
["Blueberry", 3],
["Mango", 3],
["Watermelon", 3],
["Blackberry", 3],
... | 18.09375 | 63 | 0.544041 | 75 | 579 | 4.106667 | 0.586667 | 0.058442 | 0.116883 | 0.097403 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048673 | 0.219344 | 579 | 31 | 64 | 18.677419 | 0.632743 | 0 | 0 | 0 | 0 | 0 | 0.259067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4692314ed6b0b1046dcbfa825a3d464141899b16 | 1,150 | py | Python | Bleak/two_devices.py | mbdev2/MIS_FindMyProfessor | fa6a8e9b787013b2eadbc021b0d74210de689872 | [
"MIT"
] | null | null | null | Bleak/two_devices.py | mbdev2/MIS_FindMyProfessor | fa6a8e9b787013b2eadbc021b0d74210de689872 | [
"MIT"
] | null | null | null | Bleak/two_devices.py | mbdev2/MIS_FindMyProfessor | fa6a8e9b787013b2eadbc021b0d74210de689872 | [
"MIT"
] | null | null | null | from bleak import BleakClient
import asyncio
import functools
notify_uuid = "00002a19-0000-1000-8000-00805f9b34fb".format(0x2A19)
def callback(sender, data, mac_address):
#data = bytearray(data)
dataint = int.from_bytes(data, byteorder='little', signed=True)
print(mac_address, dataint)
def run(addresses... | 27.380952 | 100 | 0.691304 | 142 | 1,150 | 5.401408 | 0.56338 | 0.039113 | 0.039113 | 0.057366 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082609 | 0.2 | 1,150 | 41 | 101 | 28.04878 | 0.751087 | 0.063478 | 0 | 0 | 0 | 0 | 0.147907 | 0.100465 | 0 | 0 | 0.005581 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.115385 | 0 | 0.192308 | 0.192308 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4692c2ff5367cf7fc52d9c66cbd5187236f80e7d | 655 | py | Python | binary search tree insertion.py | buhuhaha/python | 4ff72ac711f0948ae5bcb0886d68e8df77fe515b | [
"MIT"
] | null | null | null | binary search tree insertion.py | buhuhaha/python | 4ff72ac711f0948ae5bcb0886d68e8df77fe515b | [
"MIT"
] | null | null | null | binary search tree insertion.py | buhuhaha/python | 4ff72ac711f0948ae5bcb0886d68e8df77fe515b | [
"MIT"
] | null | null | null |
class Node:
left = right = None
def __init__(self, data):
self.data = data
def inorder(root):
if root is None:
return
inorder(root.left)
print(root.data, end=' ')
inorder(root.right)
def insert(root, key):
if root is None:
return Node(key)
if key < root.data:
... | 22.586207 | 44 | 0.58626 | 91 | 655 | 4.087912 | 0.351648 | 0.11828 | 0.043011 | 0.064516 | 0.096774 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0282 | 0.296183 | 655 | 29 | 45 | 22.586207 | 0.778742 | 0 | 0 | 0.148148 | 0 | 0 | 0.01374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148148 | false | 0 | 0 | 0 | 0.407407 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4693fb42192c5502c57c49f8441c5cf7ba66b002 | 1,709 | py | Python | relay_lib_seeed_test_2.py | johnwargo/seeed-studio-relay-v2 | ce1b84b0f0001baa7ec4729dc2967531da3bdc22 | [
"MIT"
] | 1 | 2021-05-07T07:40:27.000Z | 2021-05-07T07:40:27.000Z | relay_lib_seeed_test_2.py | johnwargo/seeed-studio-relay-v2 | ce1b84b0f0001baa7ec4729dc2967531da3bdc22 | [
"MIT"
] | null | null | null | relay_lib_seeed_test_2.py | johnwargo/seeed-studio-relay-v2 | ce1b84b0f0001baa7ec4729dc2967531da3bdc22 | [
"MIT"
] | null | null | null | #!/usr/bin/python
'''*****************************************************************************************************************
Seeed Studio Relay Board Library V2
Test Application #2
By John M. Wargo (https://www.johnwargo.com)
************************************************************************... | 26.703125 | 119 | 0.504389 | 200 | 1,709 | 4.165 | 0.4 | 0.072029 | 0.115246 | 0.136855 | 0.379352 | 0.336134 | 0.336134 | 0.336134 | 0.246098 | 0.204082 | 0 | 0.011419 | 0.282621 | 1,709 | 63 | 120 | 27.126984 | 0.668026 | 0.382095 | 0 | 0.5 | 0 | 0 | 0.087584 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.083333 | 0 | 0.111111 | 0.277778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
469452474a032213255cf5547c78a4dee27d7d79 | 2,087 | py | Python | quasar/sa_database.py | stevencyrway/quasar | db8ff733ec1becf95defc7097890232cd5944d48 | [
"MIT"
] | 12 | 2017-05-17T17:22:47.000Z | 2021-05-24T17:24:42.000Z | quasar/sa_database.py | stevencyrway/quasar | db8ff733ec1becf95defc7097890232cd5944d48 | [
"MIT"
] | 484 | 2015-12-02T19:24:34.000Z | 2022-02-22T16:36:47.000Z | quasar/sa_database.py | stevencyrway/quasar | db8ff733ec1becf95defc7097890232cd5944d48 | [
"MIT"
] | 8 | 2017-04-27T20:42:05.000Z | 2022-01-11T19:43:57.000Z | import os
from sqlalchemy import bindparam, create_engine, exc
from sqlalchemy.dialects.postgresql.json import JSONB
from sqlalchemy.engine.url import URL
from sqlalchemy.sql import text
from .utils import log, logerr
# Setup SQL Alchemy vars.
pg_opts = {
'drivername': os.getenv('PG_DRIVER'),
'username': os.... | 32.107692 | 75 | 0.632966 | 265 | 2,087 | 4.871698 | 0.430189 | 0.043377 | 0.054222 | 0.044152 | 0.091402 | 0.071263 | 0.071263 | 0.071263 | 0.071263 | 0.071263 | 0 | 0.010989 | 0.258745 | 2,087 | 64 | 76 | 32.609375 | 0.823529 | 0.257307 | 0 | 0.04878 | 0 | 0 | 0.096879 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146341 | false | 0.02439 | 0.146341 | 0.02439 | 0.414634 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
46950a30a497c84732798b48f44483d04a01233a | 217 | py | Python | top/clearlight/reptile/bilibili/bj_tech_mooc/example_04_360.py | ClearlightY/Python_learn | 93b9b7efae5a1cf05faf8ee7c5e36dcc99c7a232 | [
"Apache-2.0"
] | 1 | 2020-01-16T09:23:43.000Z | 2020-01-16T09:23:43.000Z | top/clearlight/reptile/bilibili/bj_tech_mooc/example_04_360.py | ClearlightY/Python_learn | 93b9b7efae5a1cf05faf8ee7c5e36dcc99c7a232 | [
"Apache-2.0"
] | null | null | null | top/clearlight/reptile/bilibili/bj_tech_mooc/example_04_360.py | ClearlightY/Python_learn | 93b9b7efae5a1cf05faf8ee7c5e36dcc99c7a232 | [
"Apache-2.0"
] | null | null | null | import requests
keyword = "python"
try:
kv = {'q':keyword}
r = requests.get('http://www.so.com/s', params=kv)
print(r.request.url)
r.raise_for_status()
print(len(r.text))
except:
print('爬取失败') | 19.727273 | 54 | 0.617512 | 33 | 217 | 4 | 0.757576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.193548 | 217 | 11 | 55 | 19.727273 | 0.754286 | 0 | 0 | 0 | 0 | 0 | 0.137615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0.3 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4695279b1ca8306d24c6c58add7de32e6798011f | 4,489 | py | Python | rodnet/models/backbones/cdc_deep.py | zhengzangw/RODNet | eca5f2bd1f3051c2b823d279532ddafa71b009c1 | [
"MIT"
] | null | null | null | rodnet/models/backbones/cdc_deep.py | zhengzangw/RODNet | eca5f2bd1f3051c2b823d279532ddafa71b009c1 | [
"MIT"
] | null | null | null | rodnet/models/backbones/cdc_deep.py | zhengzangw/RODNet | eca5f2bd1f3051c2b823d279532ddafa71b009c1 | [
"MIT"
] | null | null | null | import torch.nn as nn
class RODEncode(nn.Module):
def __init__(self, in_channels=2):
super(RODEncode, self).__init__()
self.conv1a = nn.Conv3d(
in_channels=in_channels,
out_channels=64,
kernel_size=(9, 5, 5),
stride=(1, 1, 1),
padding=(4,... | 32.294964 | 101 | 0.461573 | 597 | 4,489 | 3.345059 | 0.118928 | 0.021032 | 0.03305 | 0.072108 | 0.682524 | 0.588883 | 0.452178 | 0.361042 | 0.303956 | 0.282424 | 0 | 0.145278 | 0.382045 | 4,489 | 138 | 102 | 32.528986 | 0.574621 | 0.151927 | 0 | 0.507937 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031746 | false | 0 | 0.007937 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
469870ae47593eb387aa34d03ce486676acb3094 | 2,599 | py | Python | python/src/learn/lstmSequence.py | kakaba2009/MachineLearning | 26b389f8ffb5f3af939dfc9ebfdf2c6b2fc2ae33 | [
"Apache-2.0"
] | null | null | null | python/src/learn/lstmSequence.py | kakaba2009/MachineLearning | 26b389f8ffb5f3af939dfc9ebfdf2c6b2fc2ae33 | [
"Apache-2.0"
] | null | null | null | python/src/learn/lstmSequence.py | kakaba2009/MachineLearning | 26b389f8ffb5f3af939dfc9ebfdf2c6b2fc2ae33 | [
"Apache-2.0"
] | null | null | null | # LSTM with Variable Length Input Sequences to One Character Output
import numpy
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.utils import np_utils
from keras.preprocessing.sequence import pad_sequences
from theano.tensor.shared_randomstreams import ... | 41.919355 | 91 | 0.719123 | 395 | 2,599 | 4.607595 | 0.35443 | 0.01978 | 0.014835 | 0.018132 | 0.113187 | 0.026374 | 0 | 0 | 0 | 0 | 0 | 0.016559 | 0.163524 | 2,599 | 61 | 92 | 42.606557 | 0.820607 | 0.192382 | 0 | 0.081633 | 0 | 0 | 0.053827 | 0.024691 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.061224 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |