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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f37864f533d84e03e2042457fe7404558577ab87 | 13,326 | py | Python | param-net-mst.py | markusMM/Network-Expectation-Truncation | 6b87ed1c5d3da8a6a28f3675390de58061b673d5 | [
"AFL-3.0"
] | null | null | null | param-net-mst.py | markusMM/Network-Expectation-Truncation | 6b87ed1c5d3da8a6a28f3675390de58061b673d5 | [
"AFL-3.0"
] | 1 | 2019-01-26T10:39:35.000Z | 2019-01-26T10:39:35.000Z | param-net-mst.py | markusMM/Network-Expectation-Truncation | 6b87ed1c5d3da8a6a28f3675390de58061b673d5 | [
"AFL-3.0"
] | null | null | null | import numpy as np
import sys
import os
os.stat('pylib')
sys.path.append("pylib")
sys.path.append("pylib/utils")
import argparse
import tables
from pulp.utils.parallel import pprint
from pulp.utils.barstest import generate_bars_dict
from sklearn.neural_network.multilayer_perceptron import MLPClassifier
#%% -- General ... | 26.812877 | 121 | 0.562885 | 1,885 | 13,326 | 3.812732 | 0.192042 | 0.041881 | 0.046751 | 0.018784 | 0.183665 | 0.122722 | 0.064144 | 0.0583 | 0.0583 | 0.0583 | 0 | 0.02225 | 0.29176 | 13,326 | 496 | 122 | 26.866935 | 0.739246 | 0.138376 | 0 | 0.13783 | 0 | 0 | 0.124026 | 0.006394 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.029326 | 0 | 0.029326 | 0.076246 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3798844d976d0deb0b955c5afd70a09e308f441 | 5,869 | py | Python | devops/lib/python3.6/site-packages/django_jenkins/management/commands/jenkins.py | AishwaryaANair/DevOpsCI | f08e5e33f598b7ebd56ed88b53cb39dab9d88d6d | [
"MIT"
] | null | null | null | devops/lib/python3.6/site-packages/django_jenkins/management/commands/jenkins.py | AishwaryaANair/DevOpsCI | f08e5e33f598b7ebd56ed88b53cb39dab9d88d6d | [
"MIT"
] | null | null | null | devops/lib/python3.6/site-packages/django_jenkins/management/commands/jenkins.py | AishwaryaANair/DevOpsCI | f08e5e33f598b7ebd56ed88b53cb39dab9d88d6d | [
"MIT"
] | null | null | null | import os
import sys
import warnings
from importlib import import_module
from django.apps import apps
from django.conf import settings
from django.core.management.commands.test import Command as TestCommand
from django_jenkins.runner import CITestSuiteRunner
def get_runner(settings, test_runner_class=None):
if ... | 39.126667 | 103 | 0.601125 | 637 | 5,869 | 5.312402 | 0.260597 | 0.050236 | 0.035461 | 0.022163 | 0.130024 | 0.077423 | 0.046099 | 0.027778 | 0.027778 | 0 | 0 | 0.001709 | 0.302266 | 5,869 | 149 | 104 | 39.389262 | 0.824664 | 0.027432 | 0 | 0.087719 | 0 | 0 | 0.182428 | 0.01235 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061404 | false | 0.008772 | 0.087719 | 0.008772 | 0.184211 | 0.026316 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f37b8f5c7b578b839ecbd2fcf931a116c7e5396d | 4,860 | py | Python | misc/marker/map.py | cuauv/software | 5ad4d52d603f81a7f254f365d9b0fe636d03a260 | [
"BSD-3-Clause"
] | 70 | 2015-11-16T18:04:01.000Z | 2022-03-05T09:04:02.000Z | misc/marker/map.py | cuauv/software | 5ad4d52d603f81a7f254f365d9b0fe636d03a260 | [
"BSD-3-Clause"
] | 1 | 2016-08-03T05:13:19.000Z | 2016-08-03T06:19:39.000Z | misc/marker/map.py | cuauv/software | 5ad4d52d603f81a7f254f365d9b0fe636d03a260 | [
"BSD-3-Clause"
] | 34 | 2015-12-15T17:29:23.000Z | 2021-11-18T14:15:12.000Z | #!/usr/bin/env python2
import os, sys, argparse, pylab, json
path = os.path.dirname(os.path.realpath(sys.argv[0]))
parser = argparse.ArgumentParser(description = 'Graphical view of marked locations')
parser.add_argument('--filename', type = str, help = 'File from which to read marks (defaults to marks.json)', default... | 36 | 134 | 0.648148 | 753 | 4,860 | 4.051793 | 0.273572 | 0.052442 | 0.017699 | 0.031137 | 0.186168 | 0.131105 | 0.105539 | 0.089807 | 0.070796 | 0.070796 | 0 | 0.019908 | 0.193827 | 4,860 | 134 | 135 | 36.268657 | 0.758806 | 0.022634 | 0 | 0.168224 | 0 | 0 | 0.15683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046729 | false | 0.009346 | 0.009346 | 0 | 0.056075 | 0.009346 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f37bd2d3826f6978ed09b73ecee68d64081a0fa6 | 1,028 | py | Python | src/tox_travis/hacks.py | disconnect3d/tox-travis | 58b594b1b0347e558d660c3089d0ae335c0fcc0c | [
"MIT"
] | null | null | null | src/tox_travis/hacks.py | disconnect3d/tox-travis | 58b594b1b0347e558d660c3089d0ae335c0fcc0c | [
"MIT"
] | null | null | null | src/tox_travis/hacks.py | disconnect3d/tox-travis | 58b594b1b0347e558d660c3089d0ae335c0fcc0c | [
"MIT"
] | null | null | null | import os
try:
from tox.config import default_factors
except ImportError:
default_factors = None
def pypy_version_monkeypatch():
"""Patch Tox to work with non-default PyPy 3 versions."""
# Travis virtualenv do not provide `pypy3`, which tox tries to execute.
# This doesnt affect Travis python ver... | 32.125 | 75 | 0.716926 | 137 | 1,028 | 5.248175 | 0.50365 | 0.1363 | 0.052851 | 0.075104 | 0.086231 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013285 | 0.194553 | 1,028 | 31 | 76 | 33.16129 | 0.855072 | 0.347276 | 0 | 0 | 0 | 0 | 0.060976 | 0.032012 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.235294 | 0 | 0.470588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f37e25fcba871387dd039c2c129311d5edc97e58 | 8,072 | py | Python | my_sound.py | comp-physics/bubble-dynamics-with-multiscale-resnets | 409c6b676f5c9b9219c9c6228e3c012382ae3389 | [
"MIT"
] | 1 | 2022-03-15T12:16:01.000Z | 2022-03-15T12:16:01.000Z | my_sound.py | comp-physics/bubble_dynamics_with_multiscale_resnets | 409c6b676f5c9b9219c9c6228e3c012382ae3389 | [
"MIT"
] | null | null | null | my_sound.py | comp-physics/bubble_dynamics_with_multiscale_resnets | 409c6b676f5c9b9219c9c6228e3c012382ae3389 | [
"MIT"
] | 1 | 2022-03-15T12:16:06.000Z | 2022-03-15T12:16:06.000Z |
import numpy as np
# #=========================================================
# # Input Arguments
# #=========================================================
# with open("parameters.yml", 'r') as stream:
# D = yaml.safe_load(stream)
#
# for key in D:
# globals() [str(key)] = D[key]
# print('{}: {}'.for... | 43.869565 | 124 | 0.436447 | 874 | 8,072 | 3.913043 | 0.171625 | 0.008187 | 0.021053 | 0.026316 | 0.576608 | 0.531579 | 0.531579 | 0.531579 | 0.508187 | 0.498246 | 0 | 0.013491 | 0.265362 | 8,072 | 184 | 125 | 43.869565 | 0.563238 | 0.499752 | 0 | 0.477778 | 0 | 0 | 0.006844 | 0 | 0 | 0 | 0 | 0 | 0.177778 | 1 | 0.122222 | false | 0 | 0.011111 | 0 | 0.255556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f37ed4232986be023beaaf668d06b5e77ac074e6 | 851 | py | Python | ucscentralsdk/methodmeta/LoggingSyncOcnsMeta.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | ucscentralsdk/methodmeta/LoggingSyncOcnsMeta.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | ucscentralsdk/methodmeta/LoggingSyncOcnsMeta.py | ragupta-git/ucscentralsdk | 2678008b5fb6b0fafafec388d0874147e95a1086 | [
"Apache-2.0"
] | null | null | null | """This module contains the meta information of LoggingSyncOcns ExternalMethod."""
from ..ucscentralcoremeta import MethodMeta, MethodPropertyMeta
method_meta = MethodMeta("LoggingSyncOcns", "loggingSyncOcns", "Version142b")
prop_meta = {
"cookie": MethodPropertyMeta("Cookie", "cookie", "Xs:string", "Version142b... | 40.52381 | 124 | 0.720329 | 81 | 851 | 7.358025 | 0.45679 | 0.040268 | 0.026846 | 0.040268 | 0.11745 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019973 | 0.117509 | 851 | 20 | 125 | 42.55 | 0.773635 | 0.089307 | 0 | 0 | 0 | 0 | 0.473958 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f37ee31cfb8b47e410af4a949e4a6b40e2743fdd | 6,351 | py | Python | karaoke-maker/backend/search/file_search.py | MorsCerta-crypto/KaraokeMaker | 9784daa5595ba675ead83caf3bc94d2d14421495 | [
"MIT"
] | null | null | null | karaoke-maker/backend/search/file_search.py | MorsCerta-crypto/KaraokeMaker | 9784daa5595ba675ead83caf3bc94d2d14421495 | [
"MIT"
] | null | null | null | karaoke-maker/backend/search/file_search.py | MorsCerta-crypto/KaraokeMaker | 9784daa5595ba675ead83caf3bc94d2d14421495 | [
"MIT"
] | null | null | null | """
find song if already downloaded in filesystem
"""
from dataclasses import dataclass
import os
from pathlib import Path
from typing import Optional, Union
import pickle
from utils import Song
@dataclass
class DownloadedSongs:
def __init__(self, songs_path: str = "karaoke-maker/data/downloads/"):
if so... | 37.803571 | 110 | 0.571249 | 803 | 6,351 | 4.374844 | 0.195517 | 0.046114 | 0.051808 | 0.029035 | 0.260461 | 0.21577 | 0.142328 | 0.13265 | 0.052377 | 0.029035 | 0 | 0.001426 | 0.337585 | 6,351 | 168 | 111 | 37.803571 | 0.833611 | 0.118564 | 0 | 0.214876 | 0 | 0 | 0.124298 | 0.005255 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07438 | false | 0 | 0.049587 | 0 | 0.206612 | 0.14876 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f37f5b44b527c47327e13e3adfceadc8d8345966 | 20,795 | py | Python | lambda/lambda_function.py | ulyssesBML/Viva-a-Revolu-o-AlexaGame | f11414cd6a2c8c214f6ded3d44779f6a396a8a54 | [
"MIT"
] | null | null | null | lambda/lambda_function.py | ulyssesBML/Viva-a-Revolu-o-AlexaGame | f11414cd6a2c8c214f6ded3d44779f6a396a8a54 | [
"MIT"
] | 1 | 2020-02-17T21:56:55.000Z | 2020-02-18T17:07:43.000Z | lambda/lambda_function.py | ulyssesBML/Viva-a-Revolu-o-AlexaGame | f11414cd6a2c8c214f6ded3d44779f6a396a8a54 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# This sample demonstrates handling intents from an Alexa skill using the Alexa Skills Kit SDK for Python.
# Please visit https://alexa.design/cookbook for additional examples on implementing slots, dialog management,
# session persistence, api calls, and more.
# This sample is built using the ... | 44.72043 | 350 | 0.660688 | 2,368 | 20,795 | 5.613598 | 0.180321 | 0.078538 | 0.040924 | 0.05296 | 0.580757 | 0.563831 | 0.55533 | 0.538855 | 0.517867 | 0.494471 | 0 | 0.001224 | 0.253715 | 20,795 | 464 | 351 | 44.81681 | 0.855339 | 0.153018 | 0 | 0.463259 | 0 | 0.038339 | 0.207323 | 0.002464 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102236 | false | 0 | 0.047923 | 0.054313 | 0.313099 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f38641f22cf2208a475873a6c210809242c7f833 | 7,960 | py | Python | notebooks/construct-network/construct_network.py | YuzhongHuangCS/journal-citation-cartels | 7b82d9e081555f5b40eb6cc6f44f65ce1c3c1a0f | [
"BSD-2-Clause"
] | 2 | 2020-09-22T09:59:56.000Z | 2022-01-31T20:00:49.000Z | notebooks/construct-network/construct_network.py | YuzhongHuangCS/journal-citation-cartels | 7b82d9e081555f5b40eb6cc6f44f65ce1c3c1a0f | [
"BSD-2-Clause"
] | 1 | 2021-07-20T20:01:46.000Z | 2021-07-20T21:21:03.000Z | notebooks/construct-network/construct_network.py | YuzhongHuangCS/journal-citation-cartels | 7b82d9e081555f5b40eb6cc6f44f65ce1c3c1a0f | [
"BSD-2-Clause"
] | 3 | 2021-03-09T04:38:56.000Z | 2021-07-13T04:49:15.000Z | import numpy as np
import pandas as pd
import py2neo
import pickle
import os,sys
from scipy import sparse
def edges2adj(edges, raw_edges, year, pcount):
# Uniqify edges
def uniqify_edges(edges, pcount):
ccount = edges.groupby(["target"])["s_target"].nunique()
nodes = pd.DataFrame({"ccount": cc... | 34.912281 | 121 | 0.56495 | 1,015 | 7,960 | 4.255172 | 0.176355 | 0.100023 | 0.036119 | 0.025932 | 0.562167 | 0.422088 | 0.389442 | 0.376013 | 0.346608 | 0.327622 | 0 | 0.020585 | 0.273744 | 7,960 | 227 | 122 | 35.066079 | 0.726518 | 0.036558 | 0 | 0.430851 | 0 | 0.021277 | 0.203239 | 0.031479 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015957 | false | 0.021277 | 0.031915 | 0 | 0.074468 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3879f7e2508d44d6784798a2cca8db2145fd810 | 2,830 | py | Python | tests/proxy/test_traversable.py | fjarri/pykka | d1b33b32ba60c6a3e83576ea746b780775e8ff3e | [
"Apache-2.0"
] | null | null | null | tests/proxy/test_traversable.py | fjarri/pykka | d1b33b32ba60c6a3e83576ea746b780775e8ff3e | [
"Apache-2.0"
] | null | null | null | tests/proxy/test_traversable.py | fjarri/pykka | d1b33b32ba60c6a3e83576ea746b780775e8ff3e | [
"Apache-2.0"
] | null | null | null | import pytest
import pykka
class NestedWithNoMarker:
inner = "nested_with_no_marker.inner"
class NestedWithNoMarkerAndSlots:
__slots__ = ["inner"]
def __init__(self):
self.inner = "nested_with_no_marker_and_slots.inner"
@pykka.traversable
class NestedWithDecoratorMarker:
inner = "nested_... | 28.3 | 80 | 0.731449 | 328 | 2,830 | 5.893293 | 0.253049 | 0.103466 | 0.06984 | 0.09312 | 0.266425 | 0.118469 | 0.053802 | 0 | 0 | 0 | 0 | 0.000867 | 0.184452 | 2,830 | 99 | 81 | 28.585859 | 0.836655 | 0.076325 | 0 | 0.0625 | 0 | 0 | 0.213108 | 0.166731 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.140625 | false | 0 | 0.03125 | 0.015625 | 0.46875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f38f101b5462e5a48038cb051787c9579a047624 | 432 | py | Python | setup.py | Observatory-Sciences/dls-pmac-lib | e6cde02d6ecef57963ae128f8967413b2752c024 | [
"Apache-2.0"
] | 1 | 2021-12-01T23:35:21.000Z | 2021-12-01T23:35:21.000Z | setup.py | Observatory-Sciences/dls-pmac-lib | e6cde02d6ecef57963ae128f8967413b2752c024 | [
"Apache-2.0"
] | null | null | null | setup.py | Observatory-Sciences/dls-pmac-lib | e6cde02d6ecef57963ae128f8967413b2752c024 | [
"Apache-2.0"
] | 1 | 2021-05-26T11:27:21.000Z | 2021-05-26T11:27:21.000Z | from setuptools import setup
# these lines allow the version to be specified in Makefile.private
import os
version = os.environ.get("MODULEVER", "0.0")
setup(
name = 'dls_pmaclib',
version = version,
description = 'Module',
author = 'fgz73762',
author_email = 'fgz73762@rl.ac.uk', ... | 25.411765 | 67 | 0.618056 | 51 | 432 | 5.137255 | 0.784314 | 0.076336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043887 | 0.261574 | 432 | 16 | 68 | 27 | 0.777429 | 0.150463 | 0 | 0 | 0 | 0 | 0.213699 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3908d26c53625ed2af166f41829d096ab0818d7 | 776 | py | Python | molecule/default/tests/test_default.py | Turgon37/ansible-sssd | f9b653495ed9a908de660dab5f311782633a5e02 | [
"MIT"
] | null | null | null | molecule/default/tests/test_default.py | Turgon37/ansible-sssd | f9b653495ed9a908de660dab5f311782633a5e02 | [
"MIT"
] | null | null | null | molecule/default/tests/test_default.py | Turgon37/ansible-sssd | f9b653495ed9a908de660dab5f311782633a5e02 | [
"MIT"
] | 2 | 2019-10-17T17:17:23.000Z | 2020-03-31T13:13:29.000Z | import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
def test_sssd_conf(host):
conf = host.file('/etc/sssd/sssd.conf')
assert conf.exists
assert conf.user == 'root'
assert conf.gro... | 24.25 | 63 | 0.649485 | 103 | 776 | 4.718447 | 0.466019 | 0.065844 | 0.08642 | 0.111111 | 0.127572 | 0.127572 | 0.127572 | 0.127572 | 0 | 0 | 0 | 0.003339 | 0.228093 | 776 | 31 | 64 | 25.032258 | 0.808013 | 0 | 0 | 0.086957 | 0 | 0 | 0.292526 | 0.029639 | 0 | 0 | 0 | 0 | 0.173913 | 1 | 0.086957 | false | 0 | 0.086957 | 0 | 0.173913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f39250c381454b0933a185c13c313dd67e368700 | 24,886 | py | Python | plugins/Operations/Parsing/parsing_ops.py | nmantani/FileInsight-plugins | a6b036672e4c72ed06678729a86293212b7213db | [
"BSD-2-Clause",
"CC0-1.0",
"MIT"
] | 120 | 2015-02-28T14:49:12.000Z | 2022-03-27T07:13:24.000Z | plugins/Operations/Parsing/parsing_ops.py | nmantani/FileInsight-plugins | a6b036672e4c72ed06678729a86293212b7213db | [
"BSD-2-Clause",
"CC0-1.0",
"MIT"
] | null | null | null | plugins/Operations/Parsing/parsing_ops.py | nmantani/FileInsight-plugins | a6b036672e4c72ed06678729a86293212b7213db | [
"BSD-2-Clause",
"CC0-1.0",
"MIT"
] | 17 | 2016-04-04T15:53:03.000Z | 2021-12-10T18:07:59.000Z | #
# Parsing operations - Operations such as file type detection and embedded file
# detection
#
# Copyright (c) 2019, Nobutaka Mantani
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
#... | 36.119013 | 213 | 0.577031 | 3,035 | 24,886 | 4.628666 | 0.133114 | 0.004698 | 0.015661 | 0.014949 | 0.602862 | 0.553602 | 0.516444 | 0.503915 | 0.486475 | 0.469106 | 0 | 0.011457 | 0.298561 | 24,886 | 688 | 214 | 36.171512 | 0.793309 | 0.138471 | 0 | 0.600849 | 0 | 0.008493 | 0.165741 | 0.010621 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021231 | false | 0 | 0.021231 | 0 | 0.106157 | 0.106157 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3925a2de46ce94e111a0a40f4a796420e5a3f57 | 5,582 | py | Python | argo/networks/pbtxt.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 4 | 2020-12-07T19:13:13.000Z | 2022-01-30T18:52:18.000Z | argo/networks/pbtxt.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 12 | 2020-09-25T22:41:28.000Z | 2022-02-09T23:46:34.000Z | argo/networks/pbtxt.py | rist-ro/argo | a10c33346803239db8a64c104db7f22ec4e05bef | [
"MIT"
] | 2 | 2021-03-02T18:31:04.000Z | 2021-03-02T21:56:43.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tensorflow as tf
import imagenet
from tensorflow.python.platform import gfile
from inception_v4 import inception_v4
from inception_v4 import inception_v4_arg_scope
from inception_v4 import ince... | 39.034965 | 93 | 0.692404 | 769 | 5,582 | 4.778934 | 0.26788 | 0.044898 | 0.021769 | 0.030476 | 0.226395 | 0.127075 | 0.041361 | 0 | 0 | 0 | 0 | 0.009908 | 0.222501 | 5,582 | 142 | 94 | 39.309859 | 0.836866 | 0.457721 | 0 | 0.057143 | 0 | 0 | 0.209 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042857 | false | 0 | 0.171429 | 0 | 0.242857 | 0.014286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f393988e6740fc6e08ace33d77422c2bdfde8d04 | 2,037 | py | Python | hw3/3.py | joebobs0n/EE631 | 9b88e2ad255098afbc45cb7eda6018cb24c10fc3 | [
"MIT"
] | null | null | null | hw3/3.py | joebobs0n/EE631 | 9b88e2ad255098afbc45cb7eda6018cb24c10fc3 | [
"MIT"
] | null | null | null | hw3/3.py | joebobs0n/EE631 | 9b88e2ad255098afbc45cb7eda6018cb24c10fc3 | [
"MIT"
] | null | null | null | import cv2 as cv
import numpy as np
chessboard = [10, 7]
stereo_params = np.load('stereo_params.npz')
F = stereo_params['F']
left_params = np.load('left_params.npz')
left_intr = left_params['intr']
left_dist = left_params['dist']
right_params = np.load('right_params.npz')
right_intr = right_params['intr']
right_dis... | 29.955882 | 104 | 0.670594 | 351 | 2,037 | 3.720798 | 0.190883 | 0.045942 | 0.024502 | 0.027565 | 0.228178 | 0.222052 | 0.180704 | 0.180704 | 0.136294 | 0.136294 | 0 | 0.063291 | 0.146784 | 2,037 | 67 | 105 | 30.402985 | 0.688147 | 0 | 0 | 0.156863 | 0 | 0 | 0.068238 | 0.03191 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.039216 | 0 | 0.039216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f397433f97deecbcce038323eff26064f64a88ad | 466 | py | Python | Python/leetcode_challenges/leetcode_median-of-two-sorted-arrays.py | liv335/public | 04e1940060e2ec88a1d0d1c91603afff8ecdaea2 | [
"Apache-2.0"
] | null | null | null | Python/leetcode_challenges/leetcode_median-of-two-sorted-arrays.py | liv335/public | 04e1940060e2ec88a1d0d1c91603afff8ecdaea2 | [
"Apache-2.0"
] | null | null | null | Python/leetcode_challenges/leetcode_median-of-two-sorted-arrays.py | liv335/public | 04e1940060e2ec88a1d0d1c91603afff8ecdaea2 | [
"Apache-2.0"
] | null | null | null | class Solution:
def findMedianSortedArrays(self, nums1, nums2):
concant = sorted(nums1 + nums2)
pos = int((len(concant) + 1)/2) -1
if (len(concant) % 2) == 0:
median = (concant[pos] + concant[pos+1])/2
else:
median = concant[pos]
return float(median)
... | 31.066667 | 54 | 0.56867 | 60 | 466 | 4.283333 | 0.566667 | 0.116732 | 0.124514 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102941 | 0.270386 | 466 | 15 | 55 | 31.066667 | 0.652941 | 0 | 0 | 0 | 0 | 0 | 0.017131 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f397645eaf119065b33f1012173ea4db786f6334 | 370 | py | Python | sourced/ml/tests/source/example.py | chubbymaggie/ast2vec | b9058681fdd30ad0a7f4fa90a24594b615340a90 | [
"Apache-2.0"
] | null | null | null | sourced/ml/tests/source/example.py | chubbymaggie/ast2vec | b9058681fdd30ad0a7f4fa90a24594b615340a90 | [
"Apache-2.0"
] | null | null | null | sourced/ml/tests/source/example.py | chubbymaggie/ast2vec | b9058681fdd30ad0a7f4fa90a24594b615340a90 | [
"Apache-2.0"
] | null | null | null | import sys
from modelforge.logs import setup_logging
utmain = sys.modules['__main__']
if utmain.__package__ == "unittest" and utmain.__spec__ is None:
from collections import namedtuple
ModuleSpec = namedtuple("ModuleSpec", ["name"])
utmain.__spec__ = ModuleSpec("unittest.__main__")
del ModuleSpec
de... | 21.764706 | 64 | 0.735135 | 43 | 370 | 5.813953 | 0.55814 | 0.096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162162 | 370 | 16 | 65 | 23.125 | 0.806452 | 0 | 0 | 0 | 0 | 0 | 0.137838 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f39aec0bebcbd7d89dc7e0ce8356f06dc7c60a5a | 6,735 | py | Python | train_parking.py | bayesianGirl/Parking-Spot-Detection-by-Opencv | b1ceb01a5eea1cba228c88113f6dcfb62c13618e | [
"MIT"
] | 3 | 2020-12-07T21:13:44.000Z | 2021-11-27T05:12:05.000Z | train_parking.py | bayesianGirl/Parking-Spot-Detection-by-Opencv | b1ceb01a5eea1cba228c88113f6dcfb62c13618e | [
"MIT"
] | null | null | null | train_parking.py | bayesianGirl/Parking-Spot-Detection-by-Opencv | b1ceb01a5eea1cba228c88113f6dcfb62c13618e | [
"MIT"
] | 6 | 2018-07-09T18:23:18.000Z | 2019-05-21T13:49:59.000Z | import tensorflow as tf
import cv2
import numpy as np
import os
import tensorflow.contrib.slim as slim # TensorFlow-Slim
# Number of classes=3(right, left,up)
# Defining training examples and labels
empty=[]
occupied=[]
examples=[]
error= 'error.txt'
error_file= open(error, 'w')
#Reading images
os.chdir('/home/ruchik... | 39.156977 | 110 | 0.705122 | 1,144 | 6,735 | 4.02535 | 0.168706 | 0.023453 | 0.017372 | 0.038219 | 0.375027 | 0.336591 | 0.312052 | 0.262758 | 0.170467 | 0.170467 | 0 | 0.057046 | 0.120267 | 6,735 | 171 | 111 | 39.385965 | 0.720169 | 0.129324 | 0 | 0.172662 | 0 | 0 | 0.081776 | 0.04526 | 0 | 0 | 0 | 0 | 0 | 1 | 0.007194 | false | 0 | 0.035971 | 0 | 0.05036 | 0.107914 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f39c0547113dfeeb7a9ee6287a14d65c76ea8bf5 | 7,308 | py | Python | matchengine/plugins/DFCIQueryNodeTransformer.py | AveraSD/matchengine-V2 | d6039dc5d6737f90f53d6decc3b60e062e65b165 | [
"Apache-2.0"
] | 18 | 2019-09-21T20:08:19.000Z | 2021-07-06T03:23:11.000Z | matchengine/plugins/DFCIQueryNodeTransformer.py | AveraSD/matchengine-V2 | d6039dc5d6737f90f53d6decc3b60e062e65b165 | [
"Apache-2.0"
] | 1 | 2020-04-06T17:13:17.000Z | 2020-09-10T13:41:45.000Z | matchengine/plugins/DFCIQueryNodeTransformer.py | AveraSD/matchengine-V2 | d6039dc5d6737f90f53d6decc3b60e062e65b165 | [
"Apache-2.0"
] | 12 | 2019-09-16T14:22:19.000Z | 2022-01-13T20:32:52.000Z | from __future__ import annotations
import datetime
import re
from typing import TYPE_CHECKING, Tuple, List, Union, Dict
from matchengine.internals.plugin_helpers.plugin_stub import (
QueryNodeTransformer,
QueryNodeClinicalIDsSubsetter
)
from matchengine.internals.typing.matchengine_types import (
QueryPar... | 44.560976 | 119 | 0.604543 | 842 | 7,308 | 4.918052 | 0.225653 | 0.039121 | 0.026564 | 0.036223 | 0.398696 | 0.348467 | 0.328423 | 0.285921 | 0.2468 | 0.228447 | 0 | 0.011284 | 0.320881 | 7,308 | 163 | 120 | 44.834356 | 0.823091 | 0.1237 | 0 | 0.236641 | 0 | 0 | 0.095088 | 0.044395 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038168 | false | 0.007634 | 0.076336 | 0.007634 | 0.175573 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f39e1c520696b1bcc8ef32a0537c82d74974fb1c | 6,028 | py | Python | ssbj_idf_mda.py | OneraHub/SSBJ-OpenMDAO-Example | 5d10e9f8483f5e7ce803f0bc36ff78d3323227d9 | [
"Apache-2.0"
] | 7 | 2019-02-07T17:05:50.000Z | 2022-01-20T16:29:31.000Z | ssbj_idf_mda.py | OneraHub/SSBJ-OpenMDAO-Example | 5d10e9f8483f5e7ce803f0bc36ff78d3323227d9 | [
"Apache-2.0"
] | 3 | 2018-06-19T12:41:48.000Z | 2019-01-16T17:13:24.000Z | ssbj_idf_mda.py | OneraHub/SSBJ-OpenMDAO-Example | 5d10e9f8483f5e7ce803f0bc36ff78d3323227d9 | [
"Apache-2.0"
] | 2 | 2018-06-04T13:53:15.000Z | 2018-11-29T18:46:14.000Z | """
SSBJ test case - http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19980234657.pdf
Python implementation and OpenMDAO integration developed by
Sylvain Dubreuil and Remi Lafage of ONERA, the French Aerospace Lab.
"""
import numpy as np
from openmdao.api import Group, ExecComp, IndepVarComp
from ssbj_disciplines.... | 43.366906 | 100 | 0.607001 | 801 | 6,028 | 4.32834 | 0.164794 | 0.117393 | 0.129218 | 0.071243 | 0.263629 | 0.064032 | 0.015575 | 0 | 0 | 0 | 0 | 0.016751 | 0.217651 | 6,028 | 138 | 101 | 43.681159 | 0.718405 | 0.085932 | 0 | 0 | 0 | 0 | 0.260369 | 0.008588 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021053 | false | 0 | 0.063158 | 0 | 0.094737 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3a053275fcc5ad53f6d37ac237ac4dcff7bfa12 | 5,313 | py | Python | ramjet/photometric_database/derived/self_lensing_binary_synthetic_signals_light_curve_collection.py | golmschenk/ramjet | 77fb4481a15088923308fda09804d80455d1a9cf | [
"Apache-2.0"
] | 3 | 2020-11-23T18:47:37.000Z | 2021-08-05T17:45:51.000Z | ramjet/photometric_database/derived/self_lensing_binary_synthetic_signals_light_curve_collection.py | golmschenk/ramjet | 77fb4481a15088923308fda09804d80455d1a9cf | [
"Apache-2.0"
] | 5 | 2021-08-19T00:54:57.000Z | 2022-02-10T00:15:40.000Z | ramjet/photometric_database/derived/self_lensing_binary_synthetic_signals_light_curve_collection.py | golmschenk/ramjet | 77fb4481a15088923308fda09804d80455d1a9cf | [
"Apache-2.0"
] | 3 | 2019-07-12T21:00:57.000Z | 2020-06-03T22:18:13.000Z | """
Code for a light curve collection of Agnieszka Cieplak's synthetic signals.
"""
import re
import tarfile
import urllib.request
import numpy as np
import pandas as pd
from pathlib import Path
from typing import Iterable
from ramjet.photometric_database.light_curve_collection import LightCurveCollection
class Self... | 44.647059 | 118 | 0.710521 | 635 | 5,313 | 5.689764 | 0.255118 | 0.070578 | 0.04982 | 0.035981 | 0.270689 | 0.202048 | 0.176031 | 0.176031 | 0.176031 | 0.176031 | 0 | 0.002856 | 0.20911 | 5,313 | 118 | 119 | 45.025424 | 0.856973 | 0.24713 | 0 | 0.16129 | 0 | 0.016129 | 0.140991 | 0.047974 | 0 | 0 | 0 | 0 | 0 | 1 | 0.129032 | false | 0 | 0.129032 | 0 | 0.354839 | 0.048387 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3a1a5ad8c12e43533c8520008c3118e79bfded9 | 2,661 | py | Python | eval_sampled_config.py | gatech-sysml/CompOFA | baf561f14a561547ff51933e45f90ddf00cbb3cf | [
"Apache-2.0"
] | 20 | 2021-04-18T09:13:06.000Z | 2022-03-29T03:54:23.000Z | eval_sampled_config.py | compofa-blind-review/compofa-iclr21 | a97b726f17519e666c6fcdb4ec0b90cfa64d8d9f | [
"Apache-2.0"
] | 2 | 2021-07-02T16:08:17.000Z | 2022-02-16T09:20:47.000Z | eval_sampled_config.py | compofa-blind-review/compofa-iclr21 | a97b726f17519e666c6fcdb4ec0b90cfa64d8d9f | [
"Apache-2.0"
] | 2 | 2021-09-06T06:48:20.000Z | 2021-12-02T12:11:30.000Z | # CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment
# Under blind review at ICLR 2021: https://openreview.net/forum?id=IgIk8RRT-Z
#
# Implementation based on:
# Once for All: Train One Network and Specialize it for Efficient Deployment
# Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song ... | 27.43299 | 85 | 0.698985 | 360 | 2,661 | 4.961111 | 0.488889 | 0.030235 | 0.057111 | 0.025756 | 0.024636 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018257 | 0.176625 | 2,661 | 96 | 86 | 27.71875 | 0.79644 | 0.142052 | 0 | 0.148649 | 0 | 0 | 0.116484 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.094595 | 0 | 0.148649 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3a888a84714f5db60233909ea5ac36a7608dd7d | 1,538 | py | Python | tests/test_connection.py | rfishy1/luno_streams | 8bf9ad78ee1483730a38a3d8647c2484680a3553 | [
"MIT"
] | 11 | 2018-03-19T10:40:25.000Z | 2022-01-27T18:30:46.000Z | tests/test_connection.py | rfishy1/luno_streams | 8bf9ad78ee1483730a38a3d8647c2484680a3553 | [
"MIT"
] | 6 | 2018-11-01T13:55:04.000Z | 2021-04-13T11:09:41.000Z | tests/test_connection.py | rfishy1/luno_streams | 8bf9ad78ee1483730a38a3d8647c2484680a3553 | [
"MIT"
] | 6 | 2020-01-31T10:10:19.000Z | 2021-07-11T09:16:15.000Z | import asyncio
from unittest import TestCase
from luno_streams import Updater
from websockets.protocol import State
import logging
from concurrent import futures
logging.getLogger('luno_streams').addHandler(logging.StreamHandler())
class TestConnection(TestCase):
def test_simple_updates(self):
num_updat... | 31.387755 | 83 | 0.655397 | 174 | 1,538 | 5.695402 | 0.442529 | 0.040363 | 0.060545 | 0.069627 | 0.246216 | 0.191726 | 0.108981 | 0.108981 | 0.108981 | 0.108981 | 0 | 0.015332 | 0.236671 | 1,538 | 48 | 84 | 32.041667 | 0.82879 | 0.086476 | 0 | 0.060606 | 0 | 0 | 0.115549 | 0.074893 | 0 | 0 | 0 | 0 | 0.121212 | 1 | 0.121212 | false | 0 | 0.181818 | 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 |
f3aeaee761e5174922d3c62a36e43e71ad747d28 | 376 | py | Python | pj1.py | Ziggareto/project_euler_solns | e52066b9ffec97005bad0f26a3f0e08760d5c5cb | [
"MIT"
] | null | null | null | pj1.py | Ziggareto/project_euler_solns | e52066b9ffec97005bad0f26a3f0e08760d5c5cb | [
"MIT"
] | null | null | null | pj1.py | Ziggareto/project_euler_solns | e52066b9ffec97005bad0f26a3f0e08760d5c5cb | [
"MIT"
] | null | null | null | #pj1
threelist = []
fivelist = []
togetherlist = []
sum = 0
for num in range(1000):
if num % 3 == 0:
threelist.append(num)
if num % 5 == 0:
fivelist.append(num)
togetherlist = threelist
for num in fivelist:
if not num in togetherlist:
togetherlist.append(num)
fo... | 15.666667 | 33 | 0.574468 | 47 | 376 | 4.595745 | 0.361702 | 0.092593 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039216 | 0.321809 | 376 | 23 | 34 | 16.347826 | 0.807843 | 0.007979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3b056833e024a4ac70e915a922751195443e601 | 870 | py | Python | micropython/examples/badger2040/info.py | SatoW04ld/pimoroni-pico | b1c0468c6c080d293593b58b7906000080732043 | [
"MIT"
] | null | null | null | micropython/examples/badger2040/info.py | SatoW04ld/pimoroni-pico | b1c0468c6c080d293593b58b7906000080732043 | [
"MIT"
] | null | null | null | micropython/examples/badger2040/info.py | SatoW04ld/pimoroni-pico | b1c0468c6c080d293593b58b7906000080732043 | [
"MIT"
] | null | null | null | import badger2040
from badger2040 import WIDTH
TEXT_SIZE = 0.45
LINE_HEIGHT = 16
display = badger2040.Badger2040()
display.led(128)
display.pen(0)
display.rectangle(0, 0, WIDTH, 16)
display.thickness(1)
display.pen(15)
display.text("badgerOS", 3, 8, 0.4)
display.pen(0)
y = 16 + int(LINE_HEIGHT / 2)
display.text("... | 22.894737 | 73 | 0.727586 | 145 | 870 | 4.262069 | 0.37931 | 0.12945 | 0.058252 | 0.097087 | 0.279935 | 0.18932 | 0.18932 | 0.15534 | 0.15534 | 0 | 0 | 0.093176 | 0.124138 | 870 | 37 | 74 | 23.513514 | 0.717848 | 0 | 0 | 0.344828 | 0 | 0 | 0.218391 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.068966 | 0 | 0.068966 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3b2520a47606ae32dff2f865c6832ee18bf5c86 | 8,047 | py | Python | Game.py | shmily1012/Math_learning_for_lucas | 8f6c5f9534c6a1ab1ec3dd433ffa7d6d10e55d7a | [
"MIT"
] | null | null | null | Game.py | shmily1012/Math_learning_for_lucas | 8f6c5f9534c6a1ab1ec3dd433ffa7d6d10e55d7a | [
"MIT"
] | null | null | null | Game.py | shmily1012/Math_learning_for_lucas | 8f6c5f9534c6a1ab1ec3dd433ffa7d6d10e55d7a | [
"MIT"
] | null | null | null | from os import path, terminal_size
import json
import random
import time
from ErrorBook import ErrorBook
class Game():
def __init__(self, cfg_filename=None) -> None:
if cfg_filename == None:
self.cfg_filename = path.join('Cfg', 'cfg.json')
else:
self.cfg_filename = cfg_file... | 40.847716 | 131 | 0.545545 | 824 | 8,047 | 5.239078 | 0.157767 | 0.090341 | 0.101228 | 0.048182 | 0.387306 | 0.302293 | 0.295576 | 0.252953 | 0.252953 | 0.233959 | 0 | 0.023325 | 0.328694 | 8,047 | 196 | 132 | 41.056122 | 0.775824 | 0.022866 | 0 | 0.254335 | 0 | 0 | 0.097772 | 0.00331 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063584 | false | 0.017341 | 0.028902 | 0 | 0.190751 | 0.040462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3b270fa36a7114f7f969027d53ba5f20b35319b | 2,729 | py | Python | covid.py | aizukanne/CovidDashboard | 55a072a3c65e21792474c5d824fff92be4a04071 | [
"MIT"
] | null | null | null | covid.py | aizukanne/CovidDashboard | 55a072a3c65e21792474c5d824fff92be4a04071 | [
"MIT"
] | null | null | null | covid.py | aizukanne/CovidDashboard | 55a072a3c65e21792474c5d824fff92be4a04071 | [
"MIT"
] | null | null | null | def getNewData():
import requests
import json
import pandas as pd
url = "https://covid-193.p.rapidapi.com/statistics"
headers = {
'x-rapidapi-host': "covid-193.p.rapidapi.com",
'x-rapidapi-key': "4c37223acemsh65b1a8b456b72c1p15a99ajsnd4a09ab346a4"
}
response = requests.request("GET", url, headers=heade... | 36.878378 | 81 | 0.675339 | 299 | 2,729 | 6.160535 | 0.214047 | 0.09772 | 0.063518 | 0.073833 | 0.640065 | 0.564604 | 0.564604 | 0.534202 | 0.4962 | 0.4962 | 0 | 0.063356 | 0.144009 | 2,729 | 74 | 82 | 36.878378 | 0.725171 | 0.670942 | 0 | 0.56 | 0 | 0 | 0.367371 | 0.173709 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.2 | 0 | 0.36 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3b4672feda15bcb49c3a672ad5426fda451079a | 1,063 | py | Python | examples/example_throttlers_aiohttp.py | uburuntu/throttler | 9172f0f5fca8efd51376452747f1526f275b7c87 | [
"MIT"
] | 77 | 2020-03-26T08:53:41.000Z | 2022-03-26T17:27:29.000Z | examples/example_throttlers_aiohttp.py | uburuntu/throttler | 9172f0f5fca8efd51376452747f1526f275b7c87 | [
"MIT"
] | 1 | 2020-06-28T20:28:49.000Z | 2020-09-08T15:35:06.000Z | examples/example_throttlers_aiohttp.py | uburuntu/throttler | 9172f0f5fca8efd51376452747f1526f275b7c87 | [
"MIT"
] | 3 | 2020-03-25T23:15:08.000Z | 2022-03-08T16:05:49.000Z | import asyncio
import time
import aiohttp
from throttler import Throttler, ThrottlerSimultaneous
class SomeAPI:
api_url = 'https://example.com'
def __init__(self, throttler):
self.throttler = throttler
async def request(self, session: aiohttp.ClientSession):
async with self.throttler:
... | 25.309524 | 72 | 0.639699 | 127 | 1,063 | 5.251969 | 0.409449 | 0.047976 | 0.032984 | 0.041979 | 0.170915 | 0.107946 | 0.107946 | 0.107946 | 0 | 0 | 0 | 0.012674 | 0.257761 | 1,063 | 41 | 73 | 25.926829 | 0.8327 | 0 | 0 | 0.214286 | 0 | 0 | 0.061148 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.142857 | 0 | 0.357143 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3b501afed1a214552df9374d1257b1e7c0902d4 | 393 | py | Python | web/image_path/utils.py | xinliy/pyWeb | 929dd3a03540a57eac6a98f05f43b9f5f925ee98 | [
"BSD-3-Clause"
] | 1 | 2021-01-10T09:14:30.000Z | 2021-01-10T09:14:30.000Z | web/image_path/utils.py | xinliy/pyWeb | 929dd3a03540a57eac6a98f05f43b9f5f925ee98 | [
"BSD-3-Clause"
] | 12 | 2019-12-05T01:09:41.000Z | 2022-03-12T00:07:50.000Z | web/image_path/utils.py | xinliy/pyWeb | 929dd3a03540a57eac6a98f05f43b9f5f925ee98 | [
"BSD-3-Clause"
] | 1 | 2020-11-20T13:42:39.000Z | 2020-11-20T13:42:39.000Z | import os
def absoluteFilePaths(directory):
path_list = []
for dirpath, _, filenames in os.walk(directory):
for f in filenames:
path_list.append(os.path.abspath(os.path.join(dirpath, f)))
return path_list
def create_a_folder(folder_path):
if not os.path.exists(folder_path):
... | 26.2 | 71 | 0.676845 | 55 | 393 | 4.654545 | 0.454545 | 0.15625 | 0.101563 | 0.148438 | 0.179688 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216285 | 393 | 14 | 72 | 28.071429 | 0.831169 | 0 | 0 | 0 | 0 | 0 | 0.040712 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.363636 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3b5b95387e18813475d997bc320132a781e6217 | 1,014 | py | Python | raw_generator.py | QiXi9409/Simultaneous_ECG_Heartbeat | 8b61b6434c5c505c0d55a46db08e627d275fc045 | [
"MIT"
] | 1 | 2022-01-21T06:29:19.000Z | 2022-01-21T06:29:19.000Z | raw_generator.py | sliang11/ECG-FasterRCNN | 8984084d570a0e45bf3508a1a23d562ba147ca84 | [
"MIT"
] | null | null | null | raw_generator.py | sliang11/ECG-FasterRCNN | 8984084d570a0e45bf3508a1a23d562ba147ca84 | [
"MIT"
] | 2 | 2020-06-02T01:31:29.000Z | 2021-12-30T12:58:52.000Z | from raw_type import raw_type
class generator(raw_type):
def __init__(self):
self.data = []
self.label = []
self.fs = 0
self.lead = 6
self.length = 0
def read_data(self, path):
import wfdb
import os
all_files = os.listdir(path)
... | 28.971429 | 101 | 0.515779 | 135 | 1,014 | 3.703704 | 0.37037 | 0.144 | 0.1 | 0.072 | 0.184 | 0.128 | 0.128 | 0.128 | 0 | 0 | 0 | 0.043408 | 0.386588 | 1,014 | 34 | 102 | 29.823529 | 0.76045 | 0 | 0 | 0.074074 | 0 | 0 | 0.022495 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.148148 | 0 | 0.259259 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3bb46de77f1ede9821e16aeb0dc39aaf5af4feb | 2,041 | py | Python | dwarfgen/src/codegen.py | claybrooks/dwarfgen | 921d195b4f0aa375103839418eb72b143166b4c0 | [
"Unlicense"
] | null | null | null | dwarfgen/src/codegen.py | claybrooks/dwarfgen | 921d195b4f0aa375103839418eb72b143166b4c0 | [
"Unlicense"
] | null | null | null | dwarfgen/src/codegen.py | claybrooks/dwarfgen | 921d195b4f0aa375103839418eb72b143166b4c0 | [
"Unlicense"
] | null | null | null | import os
import importlib
import logging
from . import lang_generators
KNOWN_GENERATORS = {}
def register_generator(lang, module):
global KNOWN_GENERATORS
KNOWN_GENERATORS[lang] = module
def __generate_type(generator, namespace, name, jidl):
structure_format = generator.get_structure_format()
re... | 28.746479 | 88 | 0.700637 | 251 | 2,041 | 5.386454 | 0.278884 | 0.067308 | 0.06287 | 0.057692 | 0.090237 | 0.056213 | 0 | 0 | 0 | 0 | 0 | 0 | 0.202352 | 2,041 | 70 | 89 | 29.157143 | 0.830467 | 0.024008 | 0 | 0 | 0 | 0 | 0.028141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0.021739 | 0.130435 | 0 | 0.282609 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3bd4c69ff3ae0a25e53c9c83810f5632db1899b | 3,116 | py | Python | animalcourier/profile/psopen.py | btrspg/Animal-Courier | 59be3b3cf53f42a1101635eec61904a0be20957f | [
"MIT"
] | null | null | null | animalcourier/profile/psopen.py | btrspg/Animal-Courier | 59be3b3cf53f42a1101635eec61904a0be20957f | [
"MIT"
] | null | null | null | animalcourier/profile/psopen.py | btrspg/Animal-Courier | 59be3b3cf53f42a1101635eec61904a0be20957f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @License : Copyright(c) 2018 MIT License
# @Time : 2019-01-09 15:01
# @Author : YUELONG.CHEN
# @Mail : yuelong_chen@yahoo.com
# @File : psopen.py
# @Software: PyCharm
from __future__ import absolute_import, unicode_literals
import logging
import os
import sys... | 33.869565 | 127 | 0.626765 | 415 | 3,116 | 4.59759 | 0.378313 | 0.028302 | 0.044025 | 0.062893 | 0.126834 | 0.087002 | 0.087002 | 0.049266 | 0.049266 | 0.049266 | 0 | 0.014321 | 0.215661 | 3,116 | 91 | 128 | 34.241758 | 0.766367 | 0.194159 | 0 | 0.074074 | 0 | 0 | 0.102595 | 0.022709 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.185185 | 0 | 0.277778 | 0.018519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3bfecbefdaa435ba979c1b054ab9fcdffb415fc | 977 | py | Python | s.py | overfly2014/test | 5aa250616b656a786d3082453f8e6e39601d3266 | [
"MIT"
] | null | null | null | s.py | overfly2014/test | 5aa250616b656a786d3082453f8e6e39601d3266 | [
"MIT"
] | null | null | null | s.py | overfly2014/test | 5aa250616b656a786d3082453f8e6e39601d3266 | [
"MIT"
] | null | null | null | import requests
import time
import json
url = "https://www.okex.com/api/v5/market/ticker?instId=SHIB-USDT"
proxies = {
'https': 'http://127.0.0.1:10809',
}
headers = { 'Connection': 'close',}
requests.packages.urllib3.disable_warnings()
requests.adapters.DEFAULT_RETRIES = 1
if __name__ == "__main__":
... | 33.689655 | 97 | 0.566018 | 117 | 977 | 4.623932 | 0.598291 | 0.049908 | 0.09427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038298 | 0.278403 | 977 | 28 | 98 | 34.892857 | 0.729078 | 0.032753 | 0 | 0 | 0 | 0.04 | 0.205044 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.12 | 0 | 0.12 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3c6b9f173f2065ac674f49398aa32fdb0f113b2 | 6,839 | py | Python | tests/test_examples.py | kjosib/booze-tools | ed3333643e0df99231202c024da8c86a9bb5b2bc | [
"MIT"
] | 10 | 2019-01-24T04:45:56.000Z | 2020-09-16T14:27:29.000Z | tests/test_examples.py | kjosib/booze-tools | ed3333643e0df99231202c024da8c86a9bb5b2bc | [
"MIT"
] | 40 | 2019-04-10T21:54:38.000Z | 2021-10-04T02:49:11.000Z | tests/test_examples.py | kjosib/booze-tools | ed3333643e0df99231202c024da8c86a9bb5b2bc | [
"MIT"
] | 1 | 2020-05-22T16:28:02.000Z | 2020-05-22T16:28:02.000Z | import unittest
import os
import json as standard_json
import example.mini_json, example.macro_json, example.calculator
from boozetools.macroparse import compiler
from boozetools.parsing import shift_reduce
from boozetools.parsing.general import brute_force, gss
from boozetools.support import runtime, interfaces, expa... | 36.185185 | 127 | 0.705805 | 880 | 6,839 | 5.345455 | 0.304545 | 0.022959 | 0.031888 | 0.02381 | 0.23108 | 0.199192 | 0.166029 | 0.129464 | 0.108418 | 0.059099 | 0 | 0.018809 | 0.152654 | 6,839 | 188 | 128 | 36.37766 | 0.792925 | 0.067846 | 0 | 0.129032 | 0 | 0 | 0.179544 | 0.011644 | 0 | 0 | 0 | 0 | 0.083871 | 1 | 0.109677 | false | 0.03871 | 0.058065 | 0.012903 | 0.225806 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
f3c918a21077a8c8e26290bd9e7b95a2abb697db | 1,668 | py | Python | Server/app/views/v1/admin/account/account_control.py | moreal/DMS-Backend | c0a3b28972739c58049a296570bb873f32c03eec | [
"MIT"
] | 27 | 2018-01-14T08:07:18.000Z | 2020-01-20T14:21:17.000Z | Server/app/views/v1/admin/account/account_control.py | moreal/DMS-Backend | c0a3b28972739c58049a296570bb873f32c03eec | [
"MIT"
] | 50 | 2018-02-12T12:51:33.000Z | 2018-08-28T00:48:31.000Z | Server/app/views/v1/admin/account/account_control.py | moreal/DMS-Backend | c0a3b28972739c58049a296570bb873f32c03eec | [
"MIT"
] | 10 | 2018-03-31T16:30:32.000Z | 2021-03-02T10:30:31.000Z | from binascii import hexlify
from hashlib import pbkdf2_hmac
from flask import Blueprint, Response, request, current_app
from flask_restful import Api
from app.views.v1 import BaseResource
from app.views.v1 import admin_only
from app.models.account import SignupWaitingModel, StudentModel, AdminModel
api = Api(Blu... | 23.166667 | 75 | 0.610312 | 185 | 1,668 | 5.383784 | 0.437838 | 0.036145 | 0.036145 | 0.028112 | 0.040161 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023947 | 0.273981 | 1,668 | 71 | 76 | 23.492958 | 0.798514 | 0.02458 | 0 | 0.119048 | 0 | 0 | 0.083494 | 0.030186 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0.02381 | 0.166667 | 0 | 0.404762 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45e7b7e3cc8d8a217a777ade6c459dbb00a0cc8d | 831 | py | Python | LeetCode/MoveZeros.py | yashbhatt99/HackerRank-Problems | 1c35bb20a662a917ab8657035f3a672001211a8c | [
"MIT"
] | 10 | 2019-04-13T16:27:25.000Z | 2019-10-31T10:46:25.000Z | LeetCode/MoveZeros.py | yashbhatt99/HackerRank-Problems | 1c35bb20a662a917ab8657035f3a672001211a8c | [
"MIT"
] | 1 | 2020-10-21T15:39:15.000Z | 2020-10-21T15:39:15.000Z | LeetCode/MoveZeros.py | yashbhatt99/HackerRank-Problems | 1c35bb20a662a917ab8657035f3a672001211a8c | [
"MIT"
] | 3 | 2020-10-01T10:00:54.000Z | 2020-10-20T16:57:18.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 15 12:05:04 2020
@author: ravi
"""
def TwoPointer(arr):
p1 = 0 #points to non-zero
p2 = 0 #points to zeros
i=0
while(i!=(len(arr)-1)):
while(True):
if p1>= len(arr):
break
if arr[p1]... | 21.868421 | 49 | 0.392298 | 105 | 831 | 3.104762 | 0.419048 | 0.092025 | 0.03681 | 0.07362 | 0.09816 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092971 | 0.469314 | 831 | 38 | 50 | 21.868421 | 0.646259 | 0.154031 | 0 | 0.366667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0 | 0 | 0.033333 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45e8212ceb66541400595949467bd4df8574dbc1 | 1,064 | py | Python | leetcode-34.py | comst007/myLeetCode | 2596f207f686a1601ea32d263cba4a9a1e2f3630 | [
"Apache-2.0"
] | null | null | null | leetcode-34.py | comst007/myLeetCode | 2596f207f686a1601ea32d263cba4a9a1e2f3630 | [
"Apache-2.0"
] | null | null | null | leetcode-34.py | comst007/myLeetCode | 2596f207f686a1601ea32d263cba4a9a1e2f3630 | [
"Apache-2.0"
] | null | null | null | class Solution:
def searchRange(self, nums, target: int):
cnt = len(nums)
if not cnt:
return [-1, -1]
if target > nums[-1] or target < nums[0]:
return [-1, -1]
start = 0
end = cnt - 1
mid = 0
bound = [-1] * 2
while start < end... | 21.714286 | 49 | 0.409774 | 125 | 1,064 | 3.488 | 0.256 | 0.091743 | 0.119266 | 0.110092 | 0.334862 | 0.298165 | 0.298165 | 0.183486 | 0.183486 | 0.183486 | 0 | 0.053957 | 0.477444 | 1,064 | 49 | 50 | 21.714286 | 0.730216 | 0 | 0 | 0.512821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0 | 0 | 0.153846 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45ebb08783030746a08c4d5ffbb075711c0bdad9 | 5,162 | py | Python | exposan/bwaise/_cfs.py | stetsonrowles/EXPOsan | 5baeb30a6c85f923aa33b2a8b21e0e508ad8b2dc | [
"IJG"
] | null | null | null | exposan/bwaise/_cfs.py | stetsonrowles/EXPOsan | 5baeb30a6c85f923aa33b2a8b21e0e508ad8b2dc | [
"IJG"
] | null | null | null | exposan/bwaise/_cfs.py | stetsonrowles/EXPOsan | 5baeb30a6c85f923aa33b2a8b21e0e508ad8b2dc | [
"IJG"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
EXPOsan: Exposition of sanitation and resource recovery systems
This module is developed by:
Yalin Li <zoe.yalin.li@gmail.com>
This module is under the University of Illinois/NCSA Open Source License.
Please refer to https://github.com/QSD-Group/EXPOsan/blob/mai... | 38.81203 | 144 | 0.700697 | 714 | 5,162 | 4.936975 | 0.271709 | 0.045674 | 0.096454 | 0.04766 | 0.45617 | 0.36227 | 0.332199 | 0.279716 | 0.254184 | 0.195177 | 0 | 0.014977 | 0.107516 | 5,162 | 133 | 145 | 38.81203 | 0.750163 | 0.281286 | 0 | 0 | 0 | 0 | 0.244493 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.064516 | 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 |
45ed3d2b1968312b1cd85eba95274d42195b1be0 | 24,340 | py | Python | tests/mongothon/model_test.py | geoffroth/mongothon | 5305bdae8e38d09bfe7881f1edc99ac0a2e6b96b | [
"MIT"
] | 69 | 2015-01-03T13:27:45.000Z | 2022-03-26T03:50:20.000Z | tests/mongothon/model_test.py | geoffroth/mongothon | 5305bdae8e38d09bfe7881f1edc99ac0a2e6b96b | [
"MIT"
] | 15 | 2015-01-22T16:56:44.000Z | 2021-05-05T20:17:21.000Z | tests/mongothon/model_test.py | geoffroth/mongothon | 5305bdae8e38d09bfe7881f1edc99ac0a2e6b96b | [
"MIT"
] | 23 | 2015-01-03T07:55:36.000Z | 2022-03-19T06:42:49.000Z | from mongothon import create_model, create_model_offline
from pickle import dumps, loads
from unittest import TestCase
from mock import Mock, ANY, call, NonCallableMock
from mongothon import Document, Schema, NotFoundException, Array
from mongothon.validators import one_of
from mongothon.scopes import STANDARD_SCOPES
f... | 36.546547 | 112 | 0.634059 | 2,988 | 24,340 | 4.899264 | 0.101071 | 0.083202 | 0.050413 | 0.036068 | 0.672587 | 0.619373 | 0.598333 | 0.540064 | 0.471275 | 0.426395 | 0 | 0.007569 | 0.234675 | 24,340 | 665 | 113 | 36.601504 | 0.778291 | 0.012161 | 0 | 0.5 | 0 | 0 | 0.077214 | 0.001082 | 0 | 0 | 0 | 0 | 0.250923 | 1 | 0.184502 | false | 0.009225 | 0.01845 | 0.009225 | 0.221402 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45edbcbe6bec4ac4034940c704c1c7a0048c7589 | 10,729 | py | Python | examples/jericho/run_cross.py | kohilin/lgat | ba9fe6b4edd22c33c1c96f3139833cca9d149022 | [
"Apache-1.1"
] | null | null | null | examples/jericho/run_cross.py | kohilin/lgat | ba9fe6b4edd22c33c1c96f3139833cca9d149022 | [
"Apache-1.1"
] | null | null | null | examples/jericho/run_cross.py | kohilin/lgat | ba9fe6b4edd22c33c1c96f3139833cca9d149022 | [
"Apache-1.1"
] | null | null | null | import logging
import glob
import sys
import os
import tqdm
import torch
import numpy as np
from torch.utils.tensorboard import SummaryWriter
from argparse import ArgumentParser
from pfrl.replay_buffers import ReplayBuffer, PrioritizedReplayBuffer
from exp import create_md_table_from_dic
sys.path.append('../../')
f... | 38.046099 | 133 | 0.622146 | 1,332 | 10,729 | 4.783784 | 0.192943 | 0.04661 | 0.088041 | 0.030132 | 0.36833 | 0.287822 | 0.231011 | 0.14752 | 0.124608 | 0.091023 | 0 | 0.008704 | 0.250443 | 10,729 | 281 | 134 | 38.181495 | 0.783636 | 0 | 0 | 0.130841 | 0 | 0 | 0.126759 | 0.023581 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004673 | false | 0 | 0.079439 | 0 | 0.084112 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45ee4bb5dcccd9711bd92935d343e2b0fa38d9a3 | 13,863 | py | Python | test/functional/abc-sigops-deactivation.py | danhper/bitcoin-abc | d2b4bfc4d42d054cfebb5d951d23bbe96115f262 | [
"MIT"
] | 1 | 2021-09-08T14:26:46.000Z | 2021-09-08T14:26:46.000Z | test/functional/abc-sigops-deactivation.py | danhper/bitcoin-abc | d2b4bfc4d42d054cfebb5d951d23bbe96115f262 | [
"MIT"
] | 1 | 2020-02-19T10:28:45.000Z | 2020-02-19T10:28:45.000Z | test/functional/abc-sigops-deactivation.py | danhper/bitcoin-abc | d2b4bfc4d42d054cfebb5d951d23bbe96115f262 | [
"MIT"
] | 1 | 2017-06-30T20:58:07.000Z | 2017-06-30T20:58:07.000Z | #!/usr/bin/env python3
# Copyright (c) 2020 The Bitcoin Developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
Test deactivation of sigops counting
based on abc-schnorrmultisig-activation.py (D3736).
"""
from test_framewo... | 38.508333 | 100 | 0.674385 | 1,761 | 13,863 | 5.104486 | 0.226576 | 0.013238 | 0.020803 | 0.01513 | 0.346201 | 0.295472 | 0.272667 | 0.245967 | 0.203916 | 0.165091 | 0 | 0.031051 | 0.240352 | 13,863 | 359 | 101 | 38.615599 | 0.822524 | 0.200173 | 0 | 0.228814 | 0 | 0.004237 | 0.100319 | 0.009923 | 0 | 0 | 0 | 0 | 0.050847 | 1 | 0.042373 | false | 0 | 0.042373 | 0.008475 | 0.110169 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45f334b5d1edf1cb5b58b58ff7b64e41b4db5ab0 | 2,912 | py | Python | src/peter_sslers/web/models/__init__.py | jvanasco/pyramid_letsencrypt_admin | 6db37d30ef8028ff978bf6083cdf978fc88a4782 | [
"MIT"
] | 1 | 2016-03-31T22:19:19.000Z | 2016-03-31T22:19:19.000Z | src/peter_sslers/web/models/__init__.py | jvanasco/pyramid_letsencrypt_admin | 6db37d30ef8028ff978bf6083cdf978fc88a4782 | [
"MIT"
] | null | null | null | src/peter_sslers/web/models/__init__.py | jvanasco/pyramid_letsencrypt_admin | 6db37d30ef8028ff978bf6083cdf978fc88a4782 | [
"MIT"
] | null | null | null | from __future__ import print_function
# pypi
from sqlalchemy import engine_from_config
from sqlalchemy.orm import sessionmaker
import zope.sqlalchemy
# from sqlalchemy import event
# local
# import the SqlAlchemy model, which will call `sqlalchemy.orm.configure_mappers`
from ... import model # noqa: F401
# ======... | 30.333333 | 133 | 0.710852 | 346 | 2,912 | 5.783237 | 0.381503 | 0.069965 | 0.049975 | 0.026987 | 0.081959 | 0.050975 | 0.050975 | 0.050975 | 0 | 0 | 0 | 0.002954 | 0.186126 | 2,912 | 95 | 134 | 30.652632 | 0.84135 | 0.509272 | 0 | 0 | 0 | 0 | 0.057014 | 0.016504 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.151515 | 0.030303 | 0.424242 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45f420ab6e1abe94bc0e796084a2bcc846cf45f8 | 3,279 | py | Python | TFQ/barren_plateaus/bp_tfq.py | Project-Fare/quantum_computation | fc182007d0cf7cca170efdbcb442576fde5927ff | [
"MIT"
] | 27 | 2020-04-15T18:45:43.000Z | 2022-03-29T10:28:42.000Z | TFQ/barren_plateaus/bp_tfq.py | Project-Fare/quantum_computation | fc182007d0cf7cca170efdbcb442576fde5927ff | [
"MIT"
] | 1 | 2021-08-23T01:59:34.000Z | 2021-08-24T05:22:08.000Z | TFQ/barren_plateaus/bp_tfq.py | Project-Fare/quantum_computation | fc182007d0cf7cca170efdbcb442576fde5927ff | [
"MIT"
] | 10 | 2021-01-30T15:20:36.000Z | 2022-03-29T10:28:51.000Z | import tensorflow as tf
import tensorflow_quantum as tfq
import cirq
import sympy
import numpy as np
import matplotlib.pyplot as plt
# https://www.tensorflow.org/quantum/tutorials/barren_plateaus#2_generating_random_circuits
def generate_circuit(qubits, depth, param):
circuit = cirq.Circuit()
for qubit in qubi... | 33.804124 | 137 | 0.643794 | 505 | 3,279 | 4.045545 | 0.255446 | 0.019579 | 0.014684 | 0.021537 | 0.303475 | 0.262359 | 0.244738 | 0.229075 | 0.178169 | 0.078316 | 0 | 0.032107 | 0.221104 | 3,279 | 96 | 138 | 34.15625 | 0.767815 | 0.026837 | 0 | 0.216867 | 0 | 0 | 0.039523 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048193 | false | 0 | 0.072289 | 0 | 0.168675 | 0.024096 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45f440231923aed73dba16db99e48ddfd83961b9 | 4,160 | py | Python | sast_git_leaks/__init__.py | leboncoin/sast-git-leaks | 51cb1719a978c354bf2b974071e23977e5b33ad4 | [
"Apache-2.0"
] | 2 | 2020-09-07T17:44:05.000Z | 2020-11-12T16:25:04.000Z | sast_git_leaks/__init__.py | leboncoin/sast-git-leaks | 51cb1719a978c354bf2b974071e23977e5b33ad4 | [
"Apache-2.0"
] | null | null | null | sast_git_leaks/__init__.py | leboncoin/sast-git-leaks | 51cb1719a978c354bf2b974071e23977e5b33ad4 | [
"Apache-2.0"
] | 2 | 2020-11-04T04:51:01.000Z | 2020-11-12T16:25:18.000Z | '''
Sast Git Leaks
Copyright 2020 Leboncoin
Licensed under the Apache License
Written by Fabien Martinez <fabien.martinez+github@adevinta.com>
'''
from importlib import import_module
from pathlib import Path
import logging
from . import utils
LOGGER = logging.getLogger(__name__)
def load_tool(variables, tool: dic... | 34.380165 | 110 | 0.607933 | 534 | 4,160 | 4.601124 | 0.230337 | 0.05698 | 0.043956 | 0.043956 | 0.21978 | 0.178266 | 0.103378 | 0.071632 | 0.046398 | 0 | 0 | 0.001663 | 0.277404 | 4,160 | 120 | 111 | 34.666667 | 0.815702 | 0.052404 | 0 | 0.22449 | 0 | 0 | 0.209016 | 0.036629 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030612 | false | 0 | 0.05102 | 0 | 0.193878 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45f5e7d4cd9a3a5298fc43ed2dff22d7f1fc8381 | 1,726 | py | Python | solution/array/no_29_print_array_clockwise.py | LibertyDream/algorithm_data_structure | 5d143d04d001a9b8aef30334881d0af56d8c9850 | [
"MIT"
] | null | null | null | solution/array/no_29_print_array_clockwise.py | LibertyDream/algorithm_data_structure | 5d143d04d001a9b8aef30334881d0af56d8c9850 | [
"MIT"
] | null | null | null | solution/array/no_29_print_array_clockwise.py | LibertyDream/algorithm_data_structure | 5d143d04d001a9b8aef30334881d0af56d8c9850 | [
"MIT"
] | null | null | null | '''面试题29:顺时针打印矩阵
输入一个矩阵,按照从外向里以顺时针的顺序依次打印出每一个数字。
--------------
Example:
input:
1 2 3 4
5 6 7 8
9 10 11 12
13 14 15 16
output:1,2,3,4,8,12,16,15,14,13,9,5,6,7,11,10
'''
def print_array_clockwise(array):
if array is None or len(array) == 0:
return
rows = len(array)
cols = len(array[0])
... | 20.795181 | 51 | 0.504635 | 248 | 1,726 | 3.33871 | 0.241935 | 0.096618 | 0.039855 | 0.009662 | 0.160628 | 0.128019 | 0 | 0 | 0 | 0 | 0 | 0.065634 | 0.364426 | 1,726 | 83 | 52 | 20.795181 | 0.689152 | 0.099073 | 0 | 0.115385 | 0 | 0 | 0.009684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.134615 | 0.269231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45f7bf6f91ad8c5d361da4852af998cb0b3aec8b | 6,175 | py | Python | Phase_1/O-19-MarianneTouchie.py | yapanliu/ashrae-ob-database | 8c23e3ab5e8ed5589962e067a50c8940d2d31521 | [
"MIT"
] | null | null | null | Phase_1/O-19-MarianneTouchie.py | yapanliu/ashrae-ob-database | 8c23e3ab5e8ed5589962e067a50c8940d2d31521 | [
"MIT"
] | null | null | null | Phase_1/O-19-MarianneTouchie.py | yapanliu/ashrae-ob-database | 8c23e3ab5e8ed5589962e067a50c8940d2d31521 | [
"MIT"
] | null | null | null | # O-19-Marianne Touchie
'''
This code will clean the OB datasets and combine all the cleaned data into one
Dataset name: O-19-Marianne Touchie
1. one office building
2. Xuezheng processed outdoor and indoor data
3. use the same room ids as Xuezheng used for window and door status data
'''
import os
import glob
impor... | 42.006803 | 148 | 0.699757 | 985 | 6,175 | 4.214213 | 0.192893 | 0.043363 | 0.040954 | 0.061431 | 0.432667 | 0.343532 | 0.294869 | 0.23151 | 0.22332 | 0.204047 | 0 | 0.066498 | 0.167126 | 6,175 | 147 | 149 | 42.006803 | 0.740618 | 0.229474 | 0 | 0.050633 | 0 | 0.025316 | 0.253015 | 0.074289 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.088608 | 0 | 0.088608 | 0.101266 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45fa6a638f1c5138615a97898d251e2a81508de1 | 1,018 | py | Python | mundo02/exe056.py | victor-nog/python3-exercicios | 3996a41ee6cb8125573bf6f8997a69c9764fabae | [
"MIT"
] | null | null | null | mundo02/exe056.py | victor-nog/python3-exercicios | 3996a41ee6cb8125573bf6f8997a69c9764fabae | [
"MIT"
] | null | null | null | mundo02/exe056.py | victor-nog/python3-exercicios | 3996a41ee6cb8125573bf6f8997a69c9764fabae | [
"MIT"
] | null | null | null | # Desenvolva um programa que leia o nome, idade e sexo de 4 pessoas. No final do programa, mostre: a média de idade do grupo, qual é o nome do homem mais velho e quantas mulheres têm menos de 20 anos.
soma_idade = 0
maior_idade_homem = 0
nome_homem_velho = ''
total_mulheres = 0
for a in range(1, 5):
nome = str(inp... | 42.416667 | 200 | 0.659136 | 170 | 1,018 | 3.794118 | 0.376471 | 0.055814 | 0.093023 | 0.04031 | 0.148837 | 0.148837 | 0.148837 | 0.148837 | 0.148837 | 0.148837 | 0 | 0.024204 | 0.22888 | 1,018 | 24 | 201 | 42.416667 | 0.797452 | 0.194499 | 0 | 0.181818 | 0 | 0.045455 | 0.294261 | 0.031746 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
45faab4a49b00e86a1aee2eec9ab825b2e80ded9 | 8,333 | py | Python | baselines/rainbow.py | shreyaspadhy/minerl | bf7d58663a05f67f1d0cffdffe270e71c29d6bc2 | [
"MIT"
] | 2 | 2019-08-27T20:23:13.000Z | 2020-09-23T16:42:41.000Z | baselines/rainbow.py | shreyaspadhy/minerl | bf7d58663a05f67f1d0cffdffe270e71c29d6bc2 | [
"MIT"
] | null | null | null | baselines/rainbow.py | shreyaspadhy/minerl | bf7d58663a05f67f1d0cffdffe270e71c29d6bc2 | [
"MIT"
] | 3 | 2019-08-27T20:23:18.000Z | 2020-06-02T19:47:26.000Z | import os
import gym
import ray
from ray.rllib.agents import dqn
from gym.spaces import Discrete, Box
from collections import OrderedDict
import pdb
import numpy as np
import copy
from gym.wrappers import Monitor
from gym.wrappers.monitoring.stats_recorder import StatsRecorder
import numpy as np
import minerl
class ... | 34.433884 | 104 | 0.572423 | 961 | 8,333 | 4.728408 | 0.244537 | 0.041153 | 0.020026 | 0.035431 | 0.31338 | 0.206646 | 0.103653 | 0.097711 | 0.097711 | 0.097711 | 0 | 0.019465 | 0.309492 | 8,333 | 241 | 105 | 34.576763 | 0.770247 | 0.087123 | 0 | 0.143646 | 0 | 0 | 0.112025 | 0.031457 | 0 | 0 | 0 | 0.008299 | 0.01105 | 1 | 0.044199 | false | 0.038674 | 0.082873 | 0.005525 | 0.171271 | 0.027624 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45fd0e973ce23ef7e7b115de87ea88023dfb1f04 | 2,765 | py | Python | rawdns/conn.py | warsocket/RawDNS | 0ba9af96568d356dc769ca17c78308f0cfa13121 | [
"Unlicense"
] | null | null | null | rawdns/conn.py | warsocket/RawDNS | 0ba9af96568d356dc769ca17c78308f0cfa13121 | [
"Unlicense"
] | null | null | null | rawdns/conn.py | warsocket/RawDNS | 0ba9af96568d356dc769ca17c78308f0cfa13121 | [
"Unlicense"
] | null | null | null | import socket
import ssl
def map4to6(ip):
return "::ffff:"+ip
def prefixstream(pkt):
tcpkt = bytearray()
tcpkt.append(len(pkt)//0x100)
tcpkt.append(len(pkt)%0x100)
tcpkt += pkt
return tcpkt
def getfromstream(sock):
data = sock.recv(0x2)
l = data[0] * 0x100
l += data[1]
data = sock.recv(l)
return data
... | 26.084906 | 146 | 0.724051 | 398 | 2,765 | 4.982412 | 0.271357 | 0.032274 | 0.027736 | 0.040343 | 0.519919 | 0.449319 | 0.424609 | 0.424609 | 0.386283 | 0.326778 | 0 | 0.029016 | 0.139964 | 2,765 | 105 | 147 | 26.333333 | 0.804878 | 0.091139 | 0 | 0.329114 | 0 | 0 | 0.072655 | 0.021557 | 0 | 0 | 0.011976 | 0.009524 | 0 | 1 | 0.101266 | false | 0.025316 | 0.025316 | 0.012658 | 0.227848 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45fd8472320d9f428688cc4b303bffd379a6cde3 | 3,756 | py | Python | hubspot3/lines.py | BureauxLocaux/hubspot3 | d260d47f2e7f17459cab8000e6007c20588b00cc | [
"MIT"
] | null | null | null | hubspot3/lines.py | BureauxLocaux/hubspot3 | d260d47f2e7f17459cab8000e6007c20588b00cc | [
"MIT"
] | null | null | null | hubspot3/lines.py | BureauxLocaux/hubspot3 | d260d47f2e7f17459cab8000e6007c20588b00cc | [
"MIT"
] | null | null | null | """
hubspot lines api
"""
from typing import Dict, Union
from hubspot3.base import BaseClient
from hubspot3.crm_associations import CRMAssociationsClient
from hubspot3.utils import get_log, prettify, ordered_dict
LINES_API_VERSION = "1"
class LinesClient(BaseClient):
"""
Line Items API endpoint
:see: ht... | 35.102804 | 98 | 0.600373 | 447 | 3,756 | 4.903803 | 0.317673 | 0.047445 | 0.050182 | 0.057026 | 0.245894 | 0.201186 | 0.117245 | 0.117245 | 0.117245 | 0.050182 | 0 | 0.003368 | 0.288605 | 3,756 | 106 | 99 | 35.433962 | 0.816991 | 0.296858 | 0 | 0.035714 | 0 | 0 | 0.062191 | 0.015239 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.071429 | 0.017857 | 0.321429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45fdf357b954c9f769d2d5c5156d6f1a9043f455 | 6,115 | py | Python | member.py | glennfeys/Federal-Parliament-Scraper | 3d70ffdea502e1d2718833f9207d8c7bea9bf99a | [
"MIT"
] | null | null | null | member.py | glennfeys/Federal-Parliament-Scraper | 3d70ffdea502e1d2718833f9207d8c7bea9bf99a | [
"MIT"
] | null | null | null | member.py | glennfeys/Federal-Parliament-Scraper | 3d70ffdea502e1d2718833f9207d8c7bea9bf99a | [
"MIT"
] | null | null | null | import requests
from bs4 import BeautifulSoup
from util import normalize_str
import json
import uuid
from os import path, makedirs
import hashlib
from typing import List
from activity import Activity
from collections import defaultdict
class Member:
"""
Class representing a single member of the parliament
... | 38.949045 | 212 | 0.615536 | 781 | 6,115 | 4.674776 | 0.21895 | 0.032868 | 0.032046 | 0.026294 | 0.116406 | 0.070118 | 0.055327 | 0.046836 | 0 | 0 | 0 | 0.003374 | 0.272935 | 6,115 | 156 | 213 | 39.198718 | 0.817814 | 0.215372 | 0 | 0.021739 | 0 | 0 | 0.098635 | 0.031704 | 0 | 0 | 0 | 0 | 0 | 1 | 0.152174 | false | 0 | 0.119565 | 0.043478 | 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 |
45fe02038159d803cb70321ec0c3d65602e5a6f5 | 1,496 | py | Python | quart_restplus/apidoc.py | zihen/quart-restplus | 57f5b800803084ec0857d895e123414524de0d76 | [
"BSD-3-Clause"
] | 1 | 2018-11-21T21:15:20.000Z | 2018-11-21T21:15:20.000Z | quart_restplus/apidoc.py | zihen/quart-restplus | 57f5b800803084ec0857d895e123414524de0d76 | [
"BSD-3-Clause"
] | null | null | null | quart_restplus/apidoc.py | zihen/quart-restplus | 57f5b800803084ec0857d895e123414524de0d76 | [
"BSD-3-Clause"
] | 1 | 2019-12-18T09:19:46.000Z | 2019-12-18T09:19:46.000Z | # -*- coding: utf-8 -*-
from quart import url_for, Blueprint, render_template
from quart.blueprints import BlueprintSetupState
class Apidoc(Blueprint):
"""
Allow to know if the blueprint has already been registered
until https://github.com/mitsuhiko/quart/pull/1301 is merged
"""
def __init__(self... | 30.530612 | 93 | 0.670455 | 186 | 1,496 | 5.11828 | 0.413978 | 0.056723 | 0.054622 | 0.039916 | 0.060924 | 0.060924 | 0 | 0 | 0 | 0 | 0 | 0.004255 | 0.214572 | 1,496 | 48 | 94 | 31.166667 | 0.805957 | 0.09492 | 0 | 0 | 0 | 0 | 0.112828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0 | 0.068966 | 0.034483 | 0.310345 | 0.137931 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45feee9c2b4b0812ede7de9a5e89646b87aea79e | 4,329 | py | Python | ModelTrainerScripts/TransferLearning/sensor_80_to_flowfrontnet_transferlearning.py | isse-augsburg/PermeabilityNets | b4d1346f9934f2fda2f5d671983c822f4f8365f1 | [
"MIT"
] | 1 | 2021-09-10T14:57:27.000Z | 2021-09-10T14:57:27.000Z | ModelTrainerScripts/TransferLearning/sensor_80_to_flowfrontnet_transferlearning.py | isse-augsburg/PermeabilityNets | b4d1346f9934f2fda2f5d671983c822f4f8365f1 | [
"MIT"
] | null | null | null | ModelTrainerScripts/TransferLearning/sensor_80_to_flowfrontnet_transferlearning.py | isse-augsburg/PermeabilityNets | b4d1346f9934f2fda2f5d671983c822f4f8365f1 | [
"MIT"
] | null | null | null | from pathlib import Path
import torch
from torch.optim.lr_scheduler import ExponentialLR
import Resources.training as r
from Models.erfh5_ConvModel import S80Deconv2ToDrySpotTransferLearning
from Pipeline.data_gather import get_filelist_within_folder_blacklisted, \
get_filelist_within_folder
from Pipeline.data_loa... | 36.686441 | 111 | 0.631093 | 453 | 4,329 | 5.690949 | 0.412804 | 0.018619 | 0.032971 | 0.044608 | 0.157099 | 0.092708 | 0.092708 | 0.076804 | 0.046548 | 0.046548 | 0 | 0.026875 | 0.303765 | 4,329 | 117 | 112 | 37 | 0.828467 | 0.005775 | 0 | 0.040816 | 0 | 0 | 0.099572 | 0.04539 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010204 | false | 0 | 0.122449 | 0 | 0.142857 | 0.081633 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
45ff858490c4564913c4727fd7b20f7fcb42c54b | 2,666 | py | Python | setup.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 92 | 2019-08-15T11:03:50.000Z | 2022-03-12T01:21:05.000Z | setup.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 3 | 2020-03-11T08:57:50.000Z | 2021-01-06T01:39:47.000Z | setup.py | p768lwy3/torecsys | 2251366268b4fbe6f8c3ab1628fa72a0db043dcd | [
"MIT"
] | 16 | 2019-10-12T11:28:53.000Z | 2022-03-28T14:04:12.000Z | import os
from io import open
from os import path
from typing import AnyStr, List
from setuptools import setup, find_packages
package_dir = path.abspath(path.dirname(__file__))
def _process_requirements() -> List[str]:
requirements = []
with open(path.join(package_dir, 'requirements.txt'), encoding='utf-8'... | 36.027027 | 120 | 0.654539 | 298 | 2,666 | 5.741611 | 0.573826 | 0.035067 | 0.043834 | 0.045587 | 0.082992 | 0.030392 | 0 | 0 | 0 | 0 | 0 | 0.012962 | 0.21868 | 2,666 | 73 | 121 | 36.520548 | 0.808449 | 0 | 0 | 0 | 0 | 0 | 0.43886 | 0.029257 | 0 | 0 | 0 | 0 | 0.016393 | 1 | 0.032787 | false | 0 | 0.081967 | 0 | 0.147541 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
34011fd4e30dfaf36527556e6d5af2b43e50dd7d | 921 | py | Python | kyhg/kyhg/spiders/trans.py | asusfgg/python_study_2022 | d119664febf0070761df20bb557d025497f0c9e3 | [
"BSD-3-Clause"
] | 1 | 2022-02-23T12:54:49.000Z | 2022-02-23T12:54:49.000Z | kyhg/kyhg/spiders/trans.py | asusfgg/python_study_2022 | d119664febf0070761df20bb557d025497f0c9e3 | [
"BSD-3-Clause"
] | null | null | null | kyhg/kyhg/spiders/trans.py | asusfgg/python_study_2022 | d119664febf0070761df20bb557d025497f0c9e3 | [
"BSD-3-Clause"
] | null | null | null | '''
Author: fgg
Date: 2022-05-26 16:16:45
LastEditors: fgg
LastEditTime: 2022-05-26 16:45:45
FilePath: \python_study_2022\kyhg\kyhg\spiders\trans.py
Description: 学习用文件,主要就是笔记和随笔
Copyright (c) 2022 by fgg/Mechanical Design Studio, All Rights Reserved.
'''
import json
import tablib
import csv
# 获取json数据
with open('kyhg... | 23.615385 | 92 | 0.710098 | 147 | 921 | 4.401361 | 0.578231 | 0.030912 | 0.037094 | 0.030912 | 0.068006 | 0.068006 | 0.049459 | 0 | 0 | 0 | 0 | 0.08867 | 0.11835 | 921 | 38 | 93 | 24.236842 | 0.708128 | 0.520087 | 0 | 0 | 0 | 0 | 0.138824 | 0.077647 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 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 |
3402879f5b9078557c31d85789cfebc6acfb8b66 | 738 | py | Python | procedures.py | MagiMas/ArpesBandmass | 98785fabcb7977e110532a984d40971b915f09b3 | [
"MIT"
] | null | null | null | procedures.py | MagiMas/ArpesBandmass | 98785fabcb7977e110532a984d40971b915f09b3 | [
"MIT"
] | null | null | null | procedures.py | MagiMas/ArpesBandmass | 98785fabcb7977e110532a984d40971b915f09b3 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
def build_fitfunction_from_dict(func_dict):
# build the def part of the method
def_part = "def general_function(x"
number_of_parameters = len(func_dict['start-values'])
for val,num in zip(func_dict['start-values'], range(number_of_parameters)):
... | 30.75 | 79 | 0.627371 | 104 | 738 | 4.163462 | 0.471154 | 0.080831 | 0.092379 | 0.110855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008757 | 0.226287 | 738 | 24 | 80 | 30.75 | 0.749562 | 0.04336 | 0 | 0 | 0 | 0 | 0.21844 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.1 | 0 | 0.15 | 0.15 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3402e87f95b35b11be128d5a5a798677b41963c8 | 4,314 | py | Python | utils.py | c-lai/3D-ResNets-PyTorch | 488d0d7c4760e60ead4db80fe6f017a8778318ff | [
"MIT"
] | 1 | 2022-03-10T03:42:10.000Z | 2022-03-10T03:42:10.000Z | utils.py | c-lai/3D-ResNets-PyTorch | 488d0d7c4760e60ead4db80fe6f017a8778318ff | [
"MIT"
] | null | null | null | utils.py | c-lai/3D-ResNets-PyTorch | 488d0d7c4760e60ead4db80fe6f017a8778318ff | [
"MIT"
] | null | null | null | import csv
import random
from functools import partialmethod
import torch
import numpy as np
from sklearn.metrics import precision_recall_fscore_support, \
precision_recall_curve, roc_auc_score, \
balanced_accuracy_score, accuracy_score
class AverageMeter(object):
"""Computes and stores the average a... | 27.132075 | 77 | 0.617293 | 548 | 4,314 | 4.662409 | 0.271898 | 0.037573 | 0.032877 | 0.035616 | 0.288845 | 0.259491 | 0.225832 | 0.223875 | 0.204305 | 0.101761 | 0 | 0.018495 | 0.260547 | 4,314 | 158 | 78 | 27.303797 | 0.782445 | 0.085535 | 0 | 0.127451 | 0 | 0 | 0.001276 | 0 | 0 | 0 | 0 | 0 | 0.009804 | 1 | 0.166667 | false | 0 | 0.058824 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3403a6cc7750699b54ba0bd28fa928661cb61dd3 | 2,226 | py | Python | server/test_app.py | holdenmatt/ExpenseLog | f5ff5a5421a58a827bc9033c0992774be4eda1a8 | [
"MIT"
] | null | null | null | server/test_app.py | holdenmatt/ExpenseLog | f5ff5a5421a58a827bc9033c0992774be4eda1a8 | [
"MIT"
] | null | null | null | server/test_app.py | holdenmatt/ExpenseLog | f5ff5a5421a58a827bc9033c0992774be4eda1a8 | [
"MIT"
] | null | null | null | import json
import unittest
from nose.tools import *
from app import app
def check_valid_json(res):
eq_(res.headers['Content-Type'], 'application/json')
content = json.loads(res.data)
return content
class AppTests(unittest.TestCase):
def setUp(self):
app.config['TESTING'] = True
app... | 28.177215 | 61 | 0.561995 | 282 | 2,226 | 4.280142 | 0.269504 | 0.052196 | 0.069594 | 0.084507 | 0.525269 | 0.482187 | 0.405965 | 0.34797 | 0.34797 | 0.34797 | 0 | 0.031052 | 0.291105 | 2,226 | 78 | 62 | 28.538462 | 0.73384 | 0.050764 | 0 | 0.368421 | 0 | 0 | 0.145843 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087719 | false | 0 | 0.070175 | 0 | 0.22807 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3406d84467a5acfd453f5f31463ea4e221d44215 | 719 | py | Python | toolset/benchmark/test_types/datarate_type.py | ssgberk/benchmark-tool | 43514f302c7a4e81f4236d0ed5dfa8f2a84c8d29 | [
"BSD-3-Clause"
] | null | null | null | toolset/benchmark/test_types/datarate_type.py | ssgberk/benchmark-tool | 43514f302c7a4e81f4236d0ed5dfa8f2a84c8d29 | [
"BSD-3-Clause"
] | null | null | null | toolset/benchmark/test_types/datarate_type.py | ssgberk/benchmark-tool | 43514f302c7a4e81f4236d0ed5dfa8f2a84c8d29 | [
"BSD-3-Clause"
] | null | null | null | from toolset.benchmark.test_types.framework_test_type import FrameworkTestType
class DatarateTestType(FrameworkTestType):
def __init__(self, config):
kwargs = {
'name': 'datarate'
}
FrameworkTestType.__init__(self, config, **kwargs)
def get_script_name(self):
retur... | 26.62963 | 78 | 0.584145 | 69 | 719 | 5.724638 | 0.478261 | 0.177215 | 0.070886 | 0.101266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.324061 | 719 | 26 | 79 | 27.653846 | 0.812757 | 0 | 0 | 0 | 0 | 0 | 0.105702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.045455 | 0.090909 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
340711cca076c2fc011c0b1bb2f7dfe92c01eb3a | 2,150 | py | Python | tests/test_pyspark_gateway.py | abronte/PysparkGateway | 96f18719e5245259dc8cda48d591127fbb64559e | [
"Apache-2.0"
] | 2 | 2019-04-19T04:28:30.000Z | 2021-04-06T21:35:18.000Z | tests/test_pyspark_gateway.py | abronte/PysparkGateway | 96f18719e5245259dc8cda48d591127fbb64559e | [
"Apache-2.0"
] | 12 | 2019-06-04T22:51:29.000Z | 2021-03-05T17:28:52.000Z | tests/test_pyspark_gateway.py | abronte/PysparkGateway | 96f18719e5245259dc8cda48d591127fbb64559e | [
"Apache-2.0"
] | 2 | 2020-09-08T13:56:03.000Z | 2020-09-08T14:04:33.000Z | import unittest
import time
from multiprocessing import Process
import os
import psutil
import requests
import pandas
from pyspark_gateway import server
from pyspark_gateway import PysparkGateway
class PysparkGatewayTestCase(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.server = Process(t... | 28.666667 | 94 | 0.630233 | 264 | 2,150 | 5.056818 | 0.507576 | 0.041199 | 0.026966 | 0.035955 | 0.041948 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012415 | 0.250698 | 2,150 | 74 | 95 | 29.054054 | 0.816263 | 0.074884 | 0 | 0.039216 | 0 | 0 | 0.075101 | 0.013609 | 0 | 0 | 0 | 0 | 0.098039 | 1 | 0.078431 | false | 0 | 0.254902 | 0.019608 | 0.372549 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3407d24ae2fa298896d1f107ed13d34a6563056d | 2,705 | py | Python | endpoints/candidates.py | stikks/Interview_Calendar | a84028addf198cde73a859295e59884d09468b9b | [
"MIT"
] | null | null | null | endpoints/candidates.py | stikks/Interview_Calendar | a84028addf198cde73a859295e59884d09468b9b | [
"MIT"
] | 2 | 2020-03-12T16:11:48.000Z | 2020-03-12T16:11:48.000Z | endpoints/candidates.py | stikks/Interview_Calendar | a84028addf198cde73a859295e59884d09468b9b | [
"MIT"
] | null | null | null | from flask import jsonify
import connexion
from app import forms, models, InvalidUsage
from services import common
def all():
"""
json response of available interviewers
:return:
"""
url_params = connexion.request.args
page = url_params.get('page', 0)
limit = url_params.get('limit', 20)... | 27.886598 | 118 | 0.678743 | 341 | 2,705 | 5.266862 | 0.272727 | 0.041759 | 0.050111 | 0.053452 | 0.526726 | 0.485523 | 0.485523 | 0.404232 | 0.404232 | 0.360802 | 0 | 0.012605 | 0.208133 | 2,705 | 97 | 119 | 27.886598 | 0.825864 | 0.130129 | 0 | 0.444444 | 0 | 0 | 0.129812 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.088889 | 0 | 0.311111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
340be8531353ff9d1a25de04481afd75f2788f8a | 2,242 | py | Python | setup.py | Tygs/ww | 6a4b85141c9b74026abe8f3fa9bc7021f3c99fd4 | [
"MIT"
] | 15 | 2016-10-15T10:15:08.000Z | 2021-04-06T08:31:02.000Z | setup.py | Tygs/ww | 6a4b85141c9b74026abe8f3fa9bc7021f3c99fd4 | [
"MIT"
] | 7 | 2016-10-14T08:53:29.000Z | 2016-11-09T23:43:31.000Z | setup.py | Tygs/ww | 6a4b85141c9b74026abe8f3fa9bc7021f3c99fd4 | [
"MIT"
] | 3 | 2016-10-13T11:44:46.000Z | 2016-10-14T08:58:03.000Z |
import re
import setuptools
def get_version(path="src/ww/__init__.py"):
""" Return the version of by with regex intead of importing it"""
init_content = open(path, "rt").read()
pattern = r"^__version__ = ['\"]([^'\"]*)['\"]"
return re.search(pattern, init_content, re.M).group(1)
def get_requirement... | 32.492754 | 74 | 0.604817 | 252 | 2,242 | 5.190476 | 0.488095 | 0.030581 | 0.076453 | 0.059633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006455 | 0.239964 | 2,242 | 68 | 75 | 32.970588 | 0.76115 | 0.02587 | 0 | 0 | 0 | 0 | 0.290441 | 0.039063 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.037037 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
340ed019461635a7a257c5e10586606f2797256a | 7,144 | py | Python | karp/services/entry_views.py | spraakbanken/karp-backend-v6-tmp | e5b78157bd999df18c188973ae2a337015b6f35d | [
"MIT"
] | 1 | 2021-12-08T15:33:42.000Z | 2021-12-08T15:33:42.000Z | karp/services/entry_views.py | spraakbanken/karp-backend-v6-tmp | e5b78157bd999df18c188973ae2a337015b6f35d | [
"MIT"
] | null | null | null | karp/services/entry_views.py | spraakbanken/karp-backend-v6-tmp | e5b78157bd999df18c188973ae2a337015b6f35d | [
"MIT"
] | null | null | null | import typing
import pydantic
from sb_json_tools import jsondiff
from karp.domain import model
from karp.utility import unique_id
from karp import errors as karp_errors
from . import context
# pylint: disable=unsubscriptable-object
def get_by_id(
resource_id: str, entry_uuid: unique_id.UniqueId, ctx: context.... | 34.512077 | 113 | 0.643757 | 928 | 7,144 | 4.675647 | 0.133621 | 0.045172 | 0.016594 | 0.038719 | 0.4531 | 0.325882 | 0.274026 | 0.233464 | 0.219636 | 0.19705 | 0 | 0.010452 | 0.263438 | 7,144 | 206 | 114 | 34.679612 | 0.814139 | 0.277016 | 0 | 0.166667 | 0 | 0 | 0.044066 | 0.01038 | 0 | 0 | 0 | 0.004854 | 0 | 1 | 0.041667 | false | 0 | 0.058333 | 0 | 0.316667 | 0.016667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
340ef7f7152b1c8bcf4d6dfbc1ee8ab088dec0b4 | 1,517 | py | Python | src/genie/libs/parser/generic/tests/ShowInventory/cli/equal/golden_output_nxos_1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | null | null | null | src/genie/libs/parser/generic/tests/ShowInventory/cli/equal/golden_output_nxos_1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | null | null | null | src/genie/libs/parser/generic/tests/ShowInventory/cli/equal/golden_output_nxos_1_expected.py | balmasea/genieparser | d1e71a96dfb081e0a8591707b9d4872decd5d9d3 | [
"Apache-2.0"
] | null | null | null | expected_output = {
'inventory_item_index': {
0: {
'description': 'nexus7000 c7009 (9 slot) chassis ',
'name': 'chassis',
'pid': 'N7K-C7009',
'sn': 'JAF1704ARQG',
'vid': 'V01',
},
1: {
'description': 'supervisor module-2... | 28.622642 | 75 | 0.382334 | 128 | 1,517 | 4.507813 | 0.390625 | 0.07279 | 0.129983 | 0.135182 | 0.407279 | 0.317158 | 0 | 0 | 0 | 0 | 0 | 0.147232 | 0.440343 | 1,517 | 53 | 76 | 28.622642 | 0.532391 | 0 | 0 | 0.188679 | 0 | 0 | 0.402503 | 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 |
340fc602bc88626b963a2f00f968c462be4fd52e | 7,907 | py | Python | harolistener.py | zanedma/haro-listener | ad6566f4a63075c44376e27e1c15a67aecfbbd59 | [
"MIT"
] | 1 | 2021-03-22T07:34:47.000Z | 2021-03-22T07:34:47.000Z | harolistener.py | zanedma/haro-listener | ad6566f4a63075c44376e27e1c15a67aecfbbd59 | [
"MIT"
] | 1 | 2021-12-01T13:19:24.000Z | 2021-12-01T13:19:24.000Z | harolistener.py | zanedma/haro-listener | ad6566f4a63075c44376e27e1c15a67aecfbbd59 | [
"MIT"
] | null | null | null | from __future__ import print_function
import base64
from email.mime.text import MIMEText
import os
import pickle
from time import sleep
# project specific imports
from utils import getTime, set_params, exitWithError
from colors import printGreen, printFail
import messageutils
from inboxmanager import InboxManager
# goo... | 39.338308 | 118 | 0.636398 | 930 | 7,907 | 5.292473 | 0.264516 | 0.036977 | 0.01219 | 0.033523 | 0.125965 | 0.080861 | 0.026209 | 0 | 0 | 0 | 0 | 0.004129 | 0.264829 | 7,907 | 200 | 119 | 39.535 | 0.842594 | 0.223473 | 0 | 0.123077 | 0 | 0 | 0.185278 | 0 | 0 | 0 | 0 | 0 | 0.007692 | 1 | 0.053846 | false | 0 | 0.1 | 0 | 0.2 | 0.123077 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
340feb310324e5298778e12f9aadf50691777642 | 2,155 | py | Python | python_developer_tools/cv/utils/tensorboard_demo.py | carlsummer/python_developer_tools | a8c4365b7cc601cda55648cdfd8c0cb1faae132f | [
"Apache-2.0"
] | 32 | 2021-06-21T04:49:48.000Z | 2022-03-29T05:46:59.000Z | python_developer_tools/cv/utils/tensorboard_demo.py | carlsummer/python_developer_tools | a8c4365b7cc601cda55648cdfd8c0cb1faae132f | [
"Apache-2.0"
] | 1 | 2021-11-12T03:45:55.000Z | 2021-11-12T03:45:55.000Z | python_developer_tools/cv/utils/tensorboard_demo.py | carlsummer/python_developer_tools | a8c4365b7cc601cda55648cdfd8c0cb1faae132f | [
"Apache-2.0"
] | 10 | 2021-06-03T08:05:05.000Z | 2021-12-13T03:10:42.000Z | #### tensorboard使用
import atexit
import os
import os.path as osp
import signal
import time
import torch
import torchvision
from tensorboardX import SummaryWriter
import subprocess
import sys
import socket
def get_host_ip():
"""
查询本机ip地址
:return:
"""
try:
s=socket.socket(socket.AF_INET,soc... | 26.9375 | 118 | 0.670534 | 287 | 2,155 | 4.860627 | 0.452962 | 0.080287 | 0.047312 | 0.027957 | 0.108961 | 0.073118 | 0.050179 | 0 | 0 | 0 | 0 | 0.024027 | 0.188863 | 2,155 | 79 | 119 | 27.278481 | 0.774027 | 0.04826 | 0 | 0 | 0 | 0 | 0.11893 | 0.043112 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0 | 0.207547 | 0 | 0.301887 | 0.037736 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
34113fecaaf5a7c5bd7a7623c8074eb083a1607c | 17,731 | py | Python | mindmappings/gradSearch/search/search.py | kartik-hegde/mindmappings | e96f2a287da2a93c4af0794a3bab1211bc95ba0a | [
"MIT"
] | 17 | 2021-03-30T07:11:44.000Z | 2022-03-08T11:06:39.000Z | mindmappings/gradSearch/search/search.py | kartik-hegde/mindmappings | e96f2a287da2a93c4af0794a3bab1211bc95ba0a | [
"MIT"
] | 1 | 2022-01-12T03:20:31.000Z | 2022-01-30T17:24:30.000Z | mindmappings/gradSearch/search/search.py | kartik-hegde/mindmappings | e96f2a287da2a93c4af0794a3bab1211bc95ba0a | [
"MIT"
] | 4 | 2021-05-25T00:30:41.000Z | 2022-02-09T13:57:21.000Z | import torch
import math
import time
import csv
from torch.autograd import Variable
import torch.nn as nn
from torch.nn import parameter
import torch.nn.functional as F
from torch.multiprocessing import Pool, Process, set_start_method, Lock, cpu_count
import sys, os
import numpy as np
from copy import copy, deepcopy
f... | 48.84573 | 244 | 0.604196 | 2,006 | 17,731 | 5.206879 | 0.19342 | 0.041551 | 0.018956 | 0.025275 | 0.344375 | 0.312015 | 0.277645 | 0.256008 | 0.23686 | 0.202393 | 0 | 0.006249 | 0.268964 | 17,731 | 363 | 245 | 48.84573 | 0.799568 | 0.261181 | 0 | 0.290816 | 0 | 0.005102 | 0.048009 | 0.001784 | 0 | 0 | 0 | 0 | 0.005102 | 1 | 0.035714 | false | 0.005102 | 0.096939 | 0.02551 | 0.178571 | 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 |
3413c44b880bddcf7e0378db06183b833d5bd76e | 4,005 | py | Python | tests/dsl/test_node_output_usage.py | raztud/dagger | 7b394138c139e3b4fdf228e3d34359f1ae6bdd7a | [
"Apache-2.0"
] | 9 | 2021-09-06T14:22:38.000Z | 2022-02-08T07:48:39.000Z | tests/dsl/test_node_output_usage.py | raztud/dagger | 7b394138c139e3b4fdf228e3d34359f1ae6bdd7a | [
"Apache-2.0"
] | 36 | 2021-09-04T06:20:19.000Z | 2021-12-26T17:54:59.000Z | tests/dsl/test_node_output_usage.py | raztud/dagger | 7b394138c139e3b4fdf228e3d34359f1ae6bdd7a | [
"Apache-2.0"
] | 4 | 2021-09-06T08:07:19.000Z | 2021-10-18T19:13:18.000Z | from typing import Iterable
import pytest
from dagger.dsl.node_output_key_usage import NodeOutputKeyUsage
from dagger.dsl.node_output_partition_usage import NodeOutputPartitionUsage
from dagger.dsl.node_output_property_usage import NodeOutputPropertyUsage
from dagger.dsl.node_output_reference import NodeOutputReferen... | 32.04 | 190 | 0.716105 | 431 | 4,005 | 6.324826 | 0.227378 | 0.055026 | 0.071533 | 0.102715 | 0.629127 | 0.485693 | 0.352164 | 0.242113 | 0.242113 | 0.156273 | 0 | 0 | 0.203745 | 4,005 | 124 | 191 | 32.298387 | 0.854813 | 0.053683 | 0 | 0.402174 | 0 | 0.01087 | 0.071882 | 0.008457 | 0 | 0 | 0 | 0 | 0.23913 | 1 | 0.097826 | false | 0 | 0.097826 | 0 | 0.195652 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
34185c06367bb86539eebeda47f7b80a58372f97 | 1,087 | py | Python | Easy/20.ValidParentheses(BruteForce).py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 39 | 2020-07-04T11:15:13.000Z | 2022-02-04T22:33:42.000Z | Easy/20.ValidParentheses(BruteForce).py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 1 | 2020-07-15T11:53:37.000Z | 2020-07-15T11:53:37.000Z | Easy/20.ValidParentheses(BruteForce).py | YuriSpiridonov/LeetCode | 2dfcc9c71466ffa2ebc1c89e461ddfca92e2e781 | [
"MIT"
] | 20 | 2020-07-14T19:12:53.000Z | 2022-03-02T06:28:17.000Z | """
Given a string containing just the characters '(', ')', '{', '}', '[', ']',
determine if the input string is valid.
An input string is valid if:
1. Open brackets must be closed by the same type of brackets.
2. Open brackets must be closed in the correct order.
Note that an empty s... | 27.871795 | 91 | 0.542778 | 147 | 1,087 | 4.013605 | 0.517007 | 0.023729 | 0.020339 | 0.061017 | 0.250847 | 0.152542 | 0.152542 | 0 | 0 | 0 | 0 | 0.044755 | 0.342226 | 1,087 | 38 | 92 | 28.605263 | 0.78042 | 0.565777 | 0 | 0.125 | 0 | 0 | 0.014184 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | 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 |
3418885ff886036c8a295388d13bf8abdea5e1d4 | 4,405 | py | Python | src/pfmsoft/util/collection/misc.py | DonalChilde/Pfm-Util | 6be95278e61d3007da193742e089ea2ae7faa190 | [
"MIT"
] | 1 | 2021-09-25T22:03:01.000Z | 2021-09-25T22:03:01.000Z | src/pfmsoft/util/collection/misc.py | DonalChilde/Pfm-Util | 6be95278e61d3007da193742e089ea2ae7faa190 | [
"MIT"
] | null | null | null | src/pfmsoft/util/collection/misc.py | DonalChilde/Pfm-Util | 6be95278e61d3007da193742e089ea2ae7faa190 | [
"MIT"
] | null | null | null | import logging
from itertools import chain, islice, repeat
from typing import Callable, Iterator, TypeVar, Union
#### setting up logger ####
logger = logging.getLogger(__name__)
logger.addHandler(logging.NullHandler())
T = TypeVar("T")
def optional_object(
argument: Union[None, T], object_factory: Callable[...,... | 34.685039 | 122 | 0.631555 | 603 | 4,405 | 4.490879 | 0.295191 | 0.044313 | 0.029911 | 0.036558 | 0.134047 | 0.069793 | 0.041728 | 0.008124 | 0.008124 | 0.008124 | 0 | 0.033222 | 0.255165 | 4,405 | 126 | 123 | 34.960317 | 0.792137 | 0.630874 | 0 | 0 | 0 | 0 | 0.114836 | 0.017832 | 0 | 0 | 0 | 0.007937 | 0 | 1 | 0.052632 | false | 0 | 0.078947 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
341aa3e5d70ee31bca27c0594c0a8f6f2bfb805c | 8,884 | py | Python | qframer/fmainwindow.py | dragondjf/QMarkdowner | fc79c85ca2949fa9ce3b317606ad7bbcd1299960 | [
"MIT"
] | 115 | 2015-01-02T12:23:59.000Z | 2021-12-22T08:18:04.000Z | qframer/fmainwindow.py | dragondjf/QMarkdowner | fc79c85ca2949fa9ce3b317606ad7bbcd1299960 | [
"MIT"
] | 1 | 2017-01-12T09:10:46.000Z | 2017-01-12T09:10:46.000Z | qframer/fmainwindow.py | dragondjf/QMarkdowner | fc79c85ca2949fa9ce3b317606ad7bbcd1299960 | [
"MIT"
] | 69 | 2015-03-12T07:40:21.000Z | 2020-04-04T15:15:55.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from .qt.QtCore import *
from .qt.QtGui import *
from .ftitlebar import FTitleBar
from .fstatusbar import FStatusBar
class FMainWindow(QMainWindow):
sizeChanged = Signal()
def __init__(self):
super(FMainWindow, self).__init__()
self._initFlags()
... | 32.188406 | 77 | 0.593426 | 820 | 8,884 | 6.353659 | 0.236585 | 0.025336 | 0.023033 | 0.016699 | 0.128599 | 0.080614 | 0.059501 | 0.059501 | 0.059501 | 0 | 0 | 0.003904 | 0.307969 | 8,884 | 275 | 78 | 32.305455 | 0.843526 | 0.053354 | 0 | 0.228972 | 0 | 0 | 0.004053 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.149533 | false | 0.028037 | 0.018692 | 0.018692 | 0.219626 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
341d97beaea78e6d23a478af81f6df13714d58f6 | 951 | py | Python | msc/__main__.py | sshh12/multi-sys-cli | 3de18d0df24f3b1710b5cb49726c23b24f4b5858 | [
"MIT"
] | null | null | null | msc/__main__.py | sshh12/multi-sys-cli | 3de18d0df24f3b1710b5cb49726c23b24f4b5858 | [
"MIT"
] | null | null | null | msc/__main__.py | sshh12/multi-sys-cli | 3de18d0df24f3b1710b5cb49726c23b24f4b5858 | [
"MIT"
] | null | null | null | from msc.args import parse_args, prompt_string_arg_if_none
from msc.pool_cmds import pool_list, pool_create, pool_delete, pool_exec, pool_shell
from msc.digitalocean import DigitalOceanPoolProvider
def main():
providers = [DigitalOceanPoolProvider()]
args = parse_args()
if args.sub_cmd == "pool":
... | 33.964286 | 84 | 0.649842 | 122 | 951 | 4.713115 | 0.213115 | 0.083478 | 0.095652 | 0.118261 | 0.354783 | 0.234783 | 0.234783 | 0.234783 | 0.234783 | 0.234783 | 0 | 0 | 0.247108 | 951 | 28 | 85 | 33.964286 | 0.803073 | 0 | 0 | 0.136364 | 0 | 0 | 0.067227 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.136364 | 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 |
342261e60df9efc91277a7fb7c47cae5e098de83 | 18,997 | py | Python | encoder_disk_generator.py | Hyvok/Inkscape-rotary-encoder-disk-generator | 0c5cca22e75d865b820c3756323e173c54035556 | [
"MIT"
] | 28 | 2015-02-26T21:43:56.000Z | 2021-12-13T11:26:33.000Z | encoder_disk_generator.py | Hyvok/Inkscape-rotary-encoder-disk-generator | 0c5cca22e75d865b820c3756323e173c54035556 | [
"MIT"
] | 5 | 2019-11-14T13:32:06.000Z | 2021-09-27T19:14:26.000Z | encoder_disk_generator.py | Hyvok/Inkscape-rotary-encoder-disk-generator | 0c5cca22e75d865b820c3756323e173c54035556 | [
"MIT"
] | 4 | 2016-11-22T21:40:48.000Z | 2020-08-18T19:34:56.000Z | #!/usr/bin/env python3
import inkex
import math
import string
from lxml import etree
from inkex.transforms import Transform
# Function for calculating a point from the origin when you know the distance
# and the angle
def calculate_point(angle, distance):
if (angle < 0 or angle > 360):
return None
els... | 38.848671 | 79 | 0.554351 | 2,145 | 18,997 | 4.700699 | 0.107226 | 0.060002 | 0.032232 | 0.039671 | 0.596549 | 0.477636 | 0.382723 | 0.339482 | 0.308043 | 0.274026 | 0 | 0.013922 | 0.353424 | 18,997 | 488 | 80 | 38.928279 | 0.806969 | 0.07817 | 0 | 0.34026 | 0 | 0 | 0.088808 | 0.009384 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044156 | false | 0.012987 | 0.012987 | 0 | 0.088312 | 0.002597 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3422a13073f2fbe5d59125ed9250844c05c25fa3 | 1,756 | py | Python | fbadhelpers/helpers/initializers.py | jameslk/fbadhelpers | 5d7e6e645b245a5df7a466ec73add66f9aafb9e9 | [
"MIT"
] | 1 | 2018-01-11T20:06:36.000Z | 2018-01-11T20:06:36.000Z | fbadhelpers/helpers/initializers.py | jameslk/fbadhelpers | 5d7e6e645b245a5df7a466ec73add66f9aafb9e9 | [
"MIT"
] | null | null | null | fbadhelpers/helpers/initializers.py | jameslk/fbadhelpers | 5d7e6e645b245a5df7a466ec73add66f9aafb9e9 | [
"MIT"
] | null | null | null | from typing import Iterable, Mapping, Sequence, Callable
from urllib.parse import quote
from facebookads import FacebookAdsApi
from facebookads.adobjects.ad import Ad
from facebookads.adobjects.adaccount import AdAccount
from facebookads.adobjects.adcreative import AdCreative
from facebookads.adobjects.adset import Ad... | 31.357143 | 101 | 0.730638 | 203 | 1,756 | 6.108374 | 0.295567 | 0.08871 | 0.062097 | 0.106452 | 0.427419 | 0.427419 | 0.427419 | 0.427419 | 0.427419 | 0.427419 | 0 | 0 | 0.196469 | 1,756 | 55 | 102 | 31.927273 | 0.878809 | 0.037016 | 0 | 0.521739 | 0 | 0 | 0.004739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.23913 | 0.065217 | 0.369565 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
342d58d1ad9286b4fe5d8adc6492bb006a2ce91d | 2,943 | py | Python | src/ipaparser/_code/matcher.py | danmysak/ipa-parser | bb4f5fc1a8f95ef87793d2ffd79430a9a0ffbeaf | [
"MIT"
] | null | null | null | src/ipaparser/_code/matcher.py | danmysak/ipa-parser | bb4f5fc1a8f95ef87793d2ffd79430a9a0ffbeaf | [
"MIT"
] | null | null | null | src/ipaparser/_code/matcher.py | danmysak/ipa-parser | bb4f5fc1a8f95ef87793d2ffd79430a9a0ffbeaf | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from typing import Any, Callable, Generic, Iterable, Optional, TypeVar
from .strings import StringPosition, StringPositions, to_string
__all__ = [
'Match',
'Matcher',
'MatchOption',
]
T = TypeVar('T')
@dataclass(frozen=True)
class MatchOption(Generic[T]):
data: T
... | 37.730769 | 120 | 0.649677 | 334 | 2,943 | 5.51497 | 0.224551 | 0.032573 | 0.043431 | 0.026059 | 0.178067 | 0.065147 | 0.065147 | 0.065147 | 0.065147 | 0.065147 | 0 | 0.002705 | 0.246347 | 2,943 | 77 | 121 | 38.220779 | 0.827773 | 0 | 0 | 0.095238 | 0 | 0 | 0.008155 | 0 | 0 | 0 | 0 | 0 | 0.015873 | 1 | 0.079365 | false | 0 | 0.047619 | 0.015873 | 0.380952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
342d9ca5a0ea976bd56c381378be9fbabc55becb | 4,311 | py | Python | audible_processor/monitor/file_processor.py | killermonk/audible_processor | 7738ba927818d15b702ff49b2fdf89433e477021 | [
"MIT"
] | 1 | 2022-02-18T13:23:39.000Z | 2022-02-18T13:23:39.000Z | audible_processor/monitor/file_processor.py | killermonk/audible_processor | 7738ba927818d15b702ff49b2fdf89433e477021 | [
"MIT"
] | null | null | null | audible_processor/monitor/file_processor.py | killermonk/audible_processor | 7738ba927818d15b702ff49b2fdf89433e477021 | [
"MIT"
] | null | null | null | import configparser
import logging
import multiprocessing as mp
import os.path
from contextlib import contextmanager
from datetime import datetime
from enum import Enum
from parser.parser import Parser, ParserConfig
from queue import Empty
from typing import Any, Dict
from monitor.config import DaemonConfig
STATE_FIL... | 33.679688 | 105 | 0.635583 | 523 | 4,311 | 5.059273 | 0.277247 | 0.021164 | 0.022676 | 0.024943 | 0.088435 | 0.079365 | 0 | 0 | 0 | 0 | 0 | 0.002488 | 0.254233 | 4,311 | 127 | 106 | 33.944882 | 0.820529 | 0.034795 | 0 | 0.1 | 0 | 0 | 0.043563 | 0.005354 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.11 | 0.02 | 0.36 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
34307682e8bac87302038a9a06f371acc7dd9b50 | 12,912 | py | Python | pcwg/gui/date_pick.py | lcameron05/PCWG | 8ae8ea7d644aa5bec0d1651101d83d8f17994f4b | [
"MIT"
] | 14 | 2015-01-15T12:40:51.000Z | 2019-06-14T16:10:08.000Z | pcwg/gui/date_pick.py | lzhiwen3090/PCWG | 795e3ea267c7b87187dce04721c91a9d9c7999a7 | [
"MIT"
] | 121 | 2015-01-06T11:31:25.000Z | 2018-05-29T21:13:23.000Z | pcwg/gui/date_pick.py | lzhiwen3090/PCWG | 795e3ea267c7b87187dce04721c91a9d9c7999a7 | [
"MIT"
] | 26 | 2015-01-15T12:41:09.000Z | 2019-04-11T14:45:32.000Z |
#based on code by : Camilo Olarte|colarte@telesat.com.co|Sept.2003
import sys
import string
import calendar
import Tkinter as tk
import time
import datetime
from dateutil.parser import parse
from dateutil.relativedelta import relativedelta
from tk_simple_dialog import Dialog
from ..core.status import Status
class ... | 34.803235 | 136 | 0.563197 | 1,589 | 12,912 | 4.378855 | 0.135305 | 0.048865 | 0.066686 | 0.024432 | 0.504886 | 0.44553 | 0.365479 | 0.28169 | 0.212992 | 0.172895 | 0 | 0.017349 | 0.33039 | 12,912 | 371 | 137 | 34.803235 | 0.787416 | 0.007125 | 0 | 0.258687 | 0 | 0 | 0.027071 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088803 | false | 0 | 0.03861 | 0.003861 | 0.158301 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
34317faacca728036cc0c949a6524177d35c7254 | 3,929 | py | Python | tests/test_blog.py | octopusinvitro/flask-tutorial | 8a8173cdfb0f854a1462d5bc3f251e6552a531a6 | [
"MIT"
] | null | null | null | tests/test_blog.py | octopusinvitro/flask-tutorial | 8a8173cdfb0f854a1462d5bc3f251e6552a531a6 | [
"MIT"
] | null | null | null | tests/test_blog.py | octopusinvitro/flask-tutorial | 8a8173cdfb0f854a1462d5bc3f251e6552a531a6 | [
"MIT"
] | null | null | null | import pytest
from flaskr import db
def test_index_shows_auth_links_when_not_logged(client, app):
response = client.get('/')
assert b'Log In' in response.data
assert b'Register' in response.data
def test_index_shows_content_when_logged(client, auth):
auth.login()
response = client.get('/')
a... | 28.678832 | 94 | 0.683125 | 552 | 3,929 | 4.646739 | 0.163043 | 0.049123 | 0.076413 | 0.098635 | 0.728265 | 0.649513 | 0.568811 | 0.455361 | 0.430799 | 0.357895 | 0 | 0.013154 | 0.167982 | 3,929 | 136 | 95 | 28.889706 | 0.77149 | 0 | 0 | 0.474227 | 0 | 0 | 0.139221 | 0 | 0 | 0 | 0 | 0 | 0.268041 | 1 | 0.195876 | false | 0 | 0.020619 | 0 | 0.216495 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3431d10ba196cb41783bcea2077798fd2c896622 | 1,946 | py | Python | hadoop/openpayments/build_test_data.py | shubags/MSAN694 | 9b2594f7209d9d1d7792fc596ea46d0f90f27525 | [
"Apache-2.0"
] | null | null | null | hadoop/openpayments/build_test_data.py | shubags/MSAN694 | 9b2594f7209d9d1d7792fc596ea46d0f90f27525 | [
"Apache-2.0"
] | null | null | null | hadoop/openpayments/build_test_data.py | shubags/MSAN694 | 9b2594f7209d9d1d7792fc596ea46d0f90f27525 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# A simple script to save NUM lines from the huge dataset into a smaller file for simple tests
#
# Usage: build_test_data.py [outfile]
from __future__ import print_function
import argparse
import random
import sys
__author__ = 'marco'
FILE_NAME = 'data/OPPR_ALL_DTL_GNRL_12192014.csv'
NUM = 10... | 32.433333 | 94 | 0.573484 | 231 | 1,946 | 4.658009 | 0.47619 | 0.022305 | 0.047398 | 0.031599 | 0.048327 | 0.048327 | 0.048327 | 0 | 0 | 0 | 0 | 0.022104 | 0.325797 | 1,946 | 59 | 95 | 32.983051 | 0.798018 | 0.097636 | 0 | 0.047619 | 0 | 0 | 0.164 | 0.02 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.095238 | 0.02381 | 0.214286 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
343a85de1d3e11277cfecd3f880ab9548f9d2217 | 635 | py | Python | Others/hard/Dijkstra.py | GeorgianBadita/algorithmic-problems | 6b260050b7a1768b5e47a1d7d4ef7138a52db210 | [
"MIT"
] | 1 | 2021-07-05T16:32:14.000Z | 2021-07-05T16:32:14.000Z | Others/hard/Dijkstra.py | GeorgianBadita/algorithmic-problems | 6b260050b7a1768b5e47a1d7d4ef7138a52db210 | [
"MIT"
] | null | null | null | Others/hard/Dijkstra.py | GeorgianBadita/algorithmic-problems | 6b260050b7a1768b5e47a1d7d4ef7138a52db210 | [
"MIT"
] | 1 | 2021-05-14T15:40:09.000Z | 2021-05-14T15:40:09.000Z | import heapq
def dijkstrasAlgorithm(start, edges):
dist = [float('inf') for _ in range(len(edges))]
dist[start] = 0
queue = [(dist[start], start)]
while queue:
current_best_dist, current_node = heapq.heappop(queue)
if current_best_dist != dist[current_node]:
continue
... | 27.608696 | 62 | 0.587402 | 85 | 635 | 4.235294 | 0.329412 | 0.152778 | 0.166667 | 0.1 | 0.161111 | 0.161111 | 0.161111 | 0 | 0 | 0 | 0 | 0.008869 | 0.289764 | 635 | 22 | 63 | 28.863636 | 0.789357 | 0 | 0 | 0 | 0 | 0 | 0.009449 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
343f19c9ce6d15621044a8ba4f49367413bf9126 | 762 | py | Python | neo_finrl/ccxt/preprocess_ccxt.py | chandra168/NeoFinRL | c2b9da5918ac2905bc31c42f5e17a45159afd47f | [
"MIT"
] | null | null | null | neo_finrl/ccxt/preprocess_ccxt.py | chandra168/NeoFinRL | c2b9da5918ac2905bc31c42f5e17a45159afd47f | [
"MIT"
] | null | null | null | neo_finrl/ccxt/preprocess_ccxt.py | chandra168/NeoFinRL | c2b9da5918ac2905bc31c42f5e17a45159afd47f | [
"MIT"
] | null | null | null | from finrl.config import config
from finrl.preprocessing.preprocessors import FeatureEngineer
import pandas as pd
import numpy as np
def preprocess_btc(df):
df = df.rename(columns={'time':'date'})
df.insert(loc=1, column='tic',value='BTC/USDT')
df = df[['date','tic','open','high','low','close','volume']]
... | 33.130435 | 79 | 0.612861 | 90 | 762 | 5.044444 | 0.633333 | 0.026432 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010772 | 0.269029 | 762 | 22 | 80 | 34.636364 | 0.804309 | 0 | 0 | 0 | 0 | 0 | 0.062992 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.222222 | 0 | 0.333333 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
344044da2a53c80838fd73ef0645f11d64dbe6c3 | 1,807 | py | Python | tests/session/drivers/testsessioncookie.py | LowieHuyghe/edmunds-python | 236d087746cb8802a8854b2706b8d3ff009e9209 | [
"Apache-2.0"
] | 4 | 2017-09-07T13:39:50.000Z | 2018-05-31T16:14:50.000Z | tests/session/drivers/testsessioncookie.py | LowieHuyghe/edmunds-python | 236d087746cb8802a8854b2706b8d3ff009e9209 | [
"Apache-2.0"
] | 103 | 2017-03-19T15:58:21.000Z | 2018-07-11T20:36:17.000Z | tests/session/drivers/testsessioncookie.py | LowieHuyghe/edmunds-python | 236d087746cb8802a8854b2706b8d3ff009e9209 | [
"Apache-2.0"
] | 2 | 2017-10-14T15:20:11.000Z | 2018-04-20T09:55:44.000Z |
from tests.testcase import TestCase
from edmunds.globals import session
from flask.sessions import SecureCookieSession
from werkzeug.local import LocalProxy
class TestSessionCookie(TestCase):
"""
Test the SessionCookie
"""
def test_session_cookie(self):
"""
Test the file
"""
... | 28.234375 | 86 | 0.524073 | 179 | 1,807 | 5.106145 | 0.335196 | 0.109409 | 0.04814 | 0.04267 | 0.196937 | 0.140044 | 0.140044 | 0.083151 | 0 | 0 | 0 | 0.006944 | 0.362479 | 1,807 | 63 | 87 | 28.68254 | 0.786458 | 0.040952 | 0 | 0.15 | 0 | 0 | 0.178001 | 0.021881 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.025 | false | 0 | 0.125 | 0 | 0.175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
344249726263f6cdedfbf9989e61be0b224dbb96 | 1,097 | py | Python | pymatflow/scripts/xyz-build-supercell.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 6 | 2020-03-06T16:13:08.000Z | 2022-03-09T07:53:34.000Z | pymatflow/scripts/xyz-build-supercell.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 1 | 2021-10-02T02:23:08.000Z | 2021-11-08T13:29:37.000Z | pymatflow/scripts/xyz-build-supercell.py | DeqiTang/pymatflow | bd8776feb40ecef0e6704ee898d9f42ded3b0186 | [
"MIT"
] | 1 | 2021-07-10T16:28:14.000Z | 2021-07-10T16:28:14.000Z | #!/usr/bin/env python
# _*_ coding: utf-8 _*_
import argparse
from pymatflow.base.xyz import base_xyz
from pymatflow.structure.crystal import crystal
"""
usage:
xyz-build-supercell.py -i input.xyz -o output.xyz -n n1 n2 n3
n1, n2, n3 are the three repeated number in
the three direct of three ... | 28.128205 | 83 | 0.646308 | 145 | 1,097 | 4.675862 | 0.406897 | 0.051622 | 0.075221 | 0.047198 | 0.070796 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008178 | 0.21969 | 1,097 | 38 | 84 | 28.868421 | 0.783879 | 0.038286 | 0 | 0 | 0 | 0 | 0.135231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.15 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
344a6c57396ca61d68d37dfcbcf6e3f06084c514 | 18,268 | py | Python | Ui_Menu.py | atticus-lv/Little-function | adeefedc910fd937f39f2b8bb8e2df9920ef8c2b | [
"BSD-3-Clause"
] | 4 | 2020-07-01T14:04:07.000Z | 2020-07-14T15:07:40.000Z | Ui_Menu.py | atticus-lv/Little-function | adeefedc910fd937f39f2b8bb8e2df9920ef8c2b | [
"BSD-3-Clause"
] | null | null | null | Ui_Menu.py | atticus-lv/Little-function | adeefedc910fd937f39f2b8bb8e2df9920ef8c2b | [
"BSD-3-Clause"
] | 1 | 2020-12-11T07:46:15.000Z | 2020-12-11T07:46:15.000Z | #-*- coding =utf-8 -*-
import bpy
from bpy.props import *
from bpy.types import Menu,Panel,AddonPreferences
from .Ops_Light import getlight
# shift a menu
def add_cam_menu(self, context):
# add menu
if context.mode == 'OBJECT':
self.layout.operator("object.add_view_camera",icon='VIEW_CAMERA',text = "A... | 33.580882 | 120 | 0.625137 | 2,395 | 18,268 | 4.607516 | 0.133194 | 0.045945 | 0.033711 | 0.036701 | 0.569733 | 0.476846 | 0.421658 | 0.331128 | 0.283371 | 0.228908 | 0 | 0.007702 | 0.225257 | 18,268 | 543 | 121 | 33.642726 | 0.771921 | 0.066017 | 0 | 0.423181 | 0 | 0.002695 | 0.195614 | 0.026223 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06469 | false | 0.005391 | 0.010782 | 0.005391 | 0.12938 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
344bf5eb081c017555d5742dacc0a86867177bca | 391 | py | Python | fields/image-proc/raw/raw-1-drawImage.py | animatedb/codeplayfield | 3ce164d9402581dcc18555743945c4ea57f3be48 | [
"MIT"
] | null | null | null | fields/image-proc/raw/raw-1-drawImage.py | animatedb/codeplayfield | 3ce164d9402581dcc18555743945c4ea57f3be48 | [
"MIT"
] | null | null | null | fields/image-proc/raw/raw-1-drawImage.py | animatedb/codeplayfield | 3ce164d9402581dcc18555743945c4ea57f3be48 | [
"MIT"
] | null | null | null |
# Load a library that allows drawing and images.
import cv2
# Save image in set directory
# Read RGB image
# download image from cleanpng.com
img = cv2.imread('1-pets.jpg')
# Output img with window name as 'image'
cv2.imshow('image', img)
# Maintain output window util user presses a key
cv2.waitKey(0) ... | 20.578947 | 49 | 0.713555 | 58 | 391 | 4.810345 | 0.775862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022581 | 0.207161 | 391 | 18 | 50 | 21.722222 | 0.877419 | 0.631714 | 0 | 0 | 0 | 0 | 0.112782 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3450537bbf39749b02ea29c68a2890f5f1285284 | 2,438 | py | Python | peepo/tests/network_modification_test.py | hayoc/peepo_prototype | 57b4a42fd6b769cbd17a3449a49a013fc5d75455 | [
"MIT"
] | 2 | 2019-03-04T21:12:21.000Z | 2021-03-30T00:35:50.000Z | peepo/tests/network_modification_test.py | hayoc/peepo | b15fd18d0f618e1e24eadc97c72fde62039ddafb | [
"MIT"
] | null | null | null | peepo/tests/network_modification_test.py | hayoc/peepo | b15fd18d0f618e1e24eadc97c72fde62039ddafb | [
"MIT"
] | null | null | null | from pgmpy.factors.discrete import TabularCPD
from pgmpy.inference import VariableElimination
from pgmpy.models import BayesianModel
"""
CREATE NEW MODEL
THEN INFER
AFTER WE WILL MODIFY THE MODEL
AND INFER AGAIN
I'm simply creating the same network used here in this tutorial, except that I'm creating the network part... | 36.38806 | 118 | 0.632075 | 363 | 2,438 | 4.176309 | 0.360882 | 0.039578 | 0.034301 | 0.050132 | 0.075198 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039767 | 0.226415 | 2,438 | 66 | 119 | 36.939394 | 0.764051 | 0.2137 | 0 | 0.176471 | 0 | 0 | 0.04311 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.088235 | 0 | 0.088235 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3451491f281657225eb12e397ca0c1b32618813b | 10,025 | py | Python | src/baldor/transform.py | gavanderhoorn/baldor | 7844f56bccbfb63b255c21e93a255726847509ee | [
"BSD-3-Clause"
] | 1 | 2021-11-06T10:32:59.000Z | 2021-11-06T10:32:59.000Z | src/baldor/transform.py | Dream360/baldor | 08c29ba226687a81b3de15085c80e9fc0238c287 | [
"BSD-3-Clause"
] | null | null | null | src/baldor/transform.py | Dream360/baldor | 08c29ba226687a81b3de15085c80e9fc0238c287 | [
"BSD-3-Clause"
] | 1 | 2021-11-06T10:32:54.000Z | 2021-11-06T10:32:54.000Z | #!/usr/bin/env python
"""
Homogeneous Transformation Matrices
"""
import math
import numpy as np
# Local modules
import baldor as br
def are_equal(T1, T2, rtol=1e-5, atol=1e-8):
"""
Returns True if two homogeneous transformation are equal within a tolerance.
Parameters
----------
T1: array_like
First i... | 26.662234 | 79 | 0.59601 | 1,635 | 10,025 | 3.609174 | 0.171254 | 0.00644 | 0.013557 | 0.01271 | 0.351296 | 0.291645 | 0.254533 | 0.23979 | 0.212506 | 0.149466 | 0 | 0.052625 | 0.23611 | 10,025 | 375 | 80 | 26.733333 | 0.717942 | 0.492269 | 0 | 0.14094 | 0 | 0 | 0.021776 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053691 | false | 0 | 0.020134 | 0 | 0.127517 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3457d8aedd18211653e91995d82cf79ab5d2e314 | 4,419 | py | Python | codes/scripts/generate_mod_LR_bic.py | yuanjunchai/IKC | 2a846cf1194cd9bace08973d55ecd8fd3179fe48 | [
"Apache-2.0"
] | 192 | 2019-09-03T14:52:10.000Z | 2022-03-18T14:07:06.000Z | codes/scripts/generate_mod_LR_bic.py | sczhangjie/IKC | 2a846cf1194cd9bace08973d55ecd8fd3179fe48 | [
"Apache-2.0"
] | 25 | 2019-09-10T01:42:07.000Z | 2022-01-11T02:14:27.000Z | codes/scripts/generate_mod_LR_bic.py | sczhangjie/IKC | 2a846cf1194cd9bace08973d55ecd8fd3179fe48 | [
"Apache-2.0"
] | 35 | 2019-09-17T07:20:27.000Z | 2022-03-23T00:17:06.000Z | import os
import sys
import cv2
import numpy as np
import torch
try:
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from data.util import imresize_np
from utils import util
except ImportError:
pass
def generate_mod_LR_bic():
# set parameters
up_scale = 4
mod_... | 37.449153 | 123 | 0.632722 | 650 | 4,419 | 4.149231 | 0.255385 | 0.066741 | 0.063033 | 0.07564 | 0.340007 | 0.166852 | 0.079347 | 0.079347 | 0.079347 | 0.030404 | 0 | 0.020498 | 0.227201 | 4,419 | 117 | 124 | 37.769231 | 0.769253 | 0.107264 | 0 | 0.05814 | 0 | 0 | 0.090678 | 0.030311 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011628 | false | 0.011628 | 0.093023 | 0 | 0.104651 | 0.116279 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3458e78a61d0530976d41cc1ee35cbe952501111 | 1,812 | py | Python | project_template/linegen.py | warrencrowell/OptimusRhyme | dca3a78e868b5cec01c1af708dcfb942c0702bc1 | [
"MIT"
] | null | null | null | project_template/linegen.py | warrencrowell/OptimusRhyme | dca3a78e868b5cec01c1af708dcfb942c0702bc1 | [
"MIT"
] | null | null | null | project_template/linegen.py | warrencrowell/OptimusRhyme | dca3a78e868b5cec01c1af708dcfb942c0702bc1 | [
"MIT"
] | null | null | null | import nltk
import random
EXPLICIT_WORDS = ['shit', 'fuck', 'nigg', 'masturb', 'bitch']
def is_explicit(line):
for word in line:
for e in EXPLICIT_WORDS:
if e in word.lower():
return True
return False
def get_random_line(corpus, last_line = None):
if os.path.isfile('ly... | 31.789474 | 64 | 0.546909 | 242 | 1,812 | 3.938017 | 0.256198 | 0.066107 | 0.044071 | 0.04617 | 0.43022 | 0.381952 | 0.381952 | 0.381952 | 0.381952 | 0.381952 | 0 | 0.010076 | 0.342715 | 1,812 | 56 | 65 | 32.357143 | 0.790092 | 0 | 0 | 0.538462 | 0 | 0 | 0.056291 | 0.019868 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057692 | false | 0 | 0.038462 | 0 | 0.173077 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
345a42252196ac144c22ac0ef54c695e0268f0d1 | 1,596 | py | Python | Functions/readFile.py | SunYongshuai/SunSpice | 7f9368a7af1421a63b69dcce3decc6d06ff1ff6b | [
"Apache-2.0"
] | 1 | 2018-12-10T06:06:54.000Z | 2018-12-10T06:06:54.000Z | Functions/readFile.py | SunYongshuai/SunSpice | 7f9368a7af1421a63b69dcce3decc6d06ff1ff6b | [
"Apache-2.0"
] | null | null | null | Functions/readFile.py | SunYongshuai/SunSpice | 7f9368a7af1421a63b69dcce3decc6d06ff1ff6b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# -*- encoding="UTF-8" -*-
#Import Package
import sys
sys.path.append("..")
import re
from tkinter.messagebox import *
import parameters
#Dont use from parameters import NetlistPath, it Will be import ealier than Changed
from parameters import regExpExtend
from parameters import regExpCommandEnd
... | 23.820896 | 90 | 0.652882 | 187 | 1,596 | 5.572193 | 0.433155 | 0.038388 | 0.053743 | 0.03263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00753 | 0.16792 | 1,596 | 66 | 91 | 24.181818 | 0.777108 | 0.116541 | 0 | 0.25 | 0 | 0 | 0.197575 | 0.052782 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.159091 | 0 | 0.181818 | 0.204545 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
345d873ec822bd85ba44e8e911804060c0abd48f | 4,221 | py | Python | es/plot.py | DanielTakeshi/rl_algorithms | 7a43fa485137dd5e0bbebecbbbc390cdb6dbde0b | [
"MIT"
] | 150 | 2017-02-13T01:27:59.000Z | 2021-12-11T01:06:28.000Z | es/plot.py | DanielTakeshi/Reinforcement_Learning_Algorithms | 7a43fa485137dd5e0bbebecbbbc390cdb6dbde0b | [
"MIT"
] | 6 | 2017-01-17T22:44:24.000Z | 2017-12-21T15:05:32.000Z | es/plot.py | DanielTakeshi/Reinforcement_Learning_Algorithms | 7a43fa485137dd5e0bbebecbbbc390cdb6dbde0b | [
"MIT"
] | 36 | 2017-07-22T12:29:17.000Z | 2020-12-04T12:40:33.000Z | """
To plot this, you need to provide the experiment directory plus an output stem.
I use this for InvertedPendulum:
python plot.py outputs/InvertedPendulum-v1 --envname InvertedPendulum-v1 \
--out figures/InvertedPendulum-v1
(c) May 2017 by Daniel Seita
"""
import argparse
import matplotlib
matplotl... | 36.076923 | 86 | 0.628761 | 551 | 4,221 | 4.725953 | 0.433757 | 0.024962 | 0.015361 | 0.023041 | 0.164363 | 0.146697 | 0.146697 | 0.122888 | 0.122888 | 0.122888 | 0 | 0.01737 | 0.2362 | 4,221 | 116 | 87 | 36.387931 | 0.790323 | 0.201137 | 0 | 0.125 | 0 | 0 | 0.169777 | 0.006424 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0125 | false | 0 | 0.125 | 0 | 0.1375 | 0.025 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
345e34a7d6bf14a08366aa0aaaefde67070a65d9 | 2,810 | py | Python | setup.py | johannah/balloon-learning-environment | cdb2e582f2b03c41f037bf76142d31611f5e0316 | [
"Apache-2.0"
] | 64 | 2021-11-09T08:49:02.000Z | 2022-03-30T17:33:54.000Z | setup.py | johannah/balloon-learning-environment | cdb2e582f2b03c41f037bf76142d31611f5e0316 | [
"Apache-2.0"
] | null | null | null | setup.py | johannah/balloon-learning-environment | cdb2e582f2b03c41f037bf76142d31611f5e0316 | [
"Apache-2.0"
] | 5 | 2021-11-14T18:56:42.000Z | 2022-03-18T16:22:31.000Z | # coding=utf-8
# Copyright 2022 The Balloon Learning Environment Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 25.315315 | 76 | 0.693594 | 370 | 2,810 | 5.12973 | 0.505405 | 0.031612 | 0.041096 | 0.01686 | 0.035827 | 0.035827 | 0 | 0 | 0 | 0 | 0 | 0.012747 | 0.190391 | 2,810 | 110 | 77 | 25.545455 | 0.821538 | 0.348754 | 0 | 0.057143 | 0 | 0 | 0.221664 | 0.072027 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042857 | false | 0 | 0.071429 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
345ea33ffbb6fea11b6553aa914a02712c24fb98 | 6,518 | py | Python | FSM.py | wzx19980321/CPO_lab4 | c80701808e02df6042a98dd53da182f36b86b54b | [
"Apache-2.0"
] | null | null | null | FSM.py | wzx19980321/CPO_lab4 | c80701808e02df6042a98dd53da182f36b86b54b | [
"Apache-2.0"
] | null | null | null | FSM.py | wzx19980321/CPO_lab4 | c80701808e02df6042a98dd53da182f36b86b54b | [
"Apache-2.0"
] | null | null | null | import collections
import time
from functools import wraps
from typing import Any, Callable, Tuple, Union, List
class StateMachine(object):
"""
'Design a representation of the finite state machine using decorators to specify state machine handlers.'
"""
def __init__(self, T: int, HALT: int... | 37.676301 | 110 | 0.473305 | 748 | 6,518 | 4.02139 | 0.137701 | 0.072141 | 0.062168 | 0.047872 | 0.502327 | 0.461436 | 0.449468 | 0.441489 | 0.429189 | 0.429189 | 0 | 0.007928 | 0.419454 | 6,518 | 172 | 111 | 37.895349 | 0.786998 | 0.064284 | 0 | 0.484615 | 0 | 0 | 0.007406 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107692 | false | 0 | 0.030769 | 0 | 0.207692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
34676472975149b91d7f84d84ea4b4caf330a0c3 | 5,514 | py | Python | django_cache_dependencies/__init__.py | imposeren/cache-dependencies | aab7b4f0bda6776ea184d99eeaa26d1c9ac8e4b2 | [
"BSD-3-Clause"
] | null | null | null | django_cache_dependencies/__init__.py | imposeren/cache-dependencies | aab7b4f0bda6776ea184d99eeaa26d1c9ac8e4b2 | [
"BSD-3-Clause"
] | null | null | null | django_cache_dependencies/__init__.py | imposeren/cache-dependencies | aab7b4f0bda6776ea184d99eeaa26d1c9ac8e4b2 | [
"BSD-3-Clause"
] | 2 | 2020-03-05T14:36:44.000Z | 2021-05-04T03:55:42.000Z | from __future__ import absolute_import, unicode_literals
import sys
import hashlib
from threading import local
import django.core.cache
from django.conf import settings
from django.core import signals as core_signals
from django.core.cache import DEFAULT_CACHE_ALIAS
from django.db.models import signals as model_signal... | 30.804469 | 100 | 0.662677 | 618 | 5,514 | 5.684466 | 0.313916 | 0.037005 | 0.038713 | 0.039283 | 0.099915 | 0.076288 | 0.059209 | 0.059209 | 0.034728 | 0.034728 | 0 | 0.00288 | 0.244469 | 5,514 | 178 | 101 | 30.977528 | 0.840374 | 0.11226 | 0 | 0.109244 | 0 | 0 | 0.022799 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.168067 | 0.07563 | 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 |
346c3a44b5316fb717678c261d0a73998057d413 | 4,265 | py | Python | gammapy/astro/darkmatter/utils.py | mealworm/gammapy | a838b2ca347dd6321f8da4e4097a33150d7b9be6 | [
"BSD-3-Clause"
] | null | null | null | gammapy/astro/darkmatter/utils.py | mealworm/gammapy | a838b2ca347dd6321f8da4e4097a33150d7b9be6 | [
"BSD-3-Clause"
] | null | null | null | gammapy/astro/darkmatter/utils.py | mealworm/gammapy | a838b2ca347dd6321f8da4e4097a33150d7b9be6 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Utilities to compute J-factor maps
"""
from __future__ import absolute_import, division, print_function, unicode_literals
from ...cube import make_separation_map
from ...maps import WcsNDMap
import astropy.units as u
import numpy as np
import copy
__... | 29.825175 | 82 | 0.6068 | 528 | 4,265 | 4.744318 | 0.337121 | 0.027944 | 0.021956 | 0.017964 | 0.019162 | 0.019162 | 0.019162 | 0 | 0 | 0 | 0 | 0.009364 | 0.273857 | 4,265 | 142 | 83 | 30.035211 | 0.799483 | 0.405862 | 0 | 0.098361 | 0 | 0 | 0.018617 | 0 | 0 | 0 | 0 | 0.007042 | 0 | 1 | 0.131148 | false | 0 | 0.098361 | 0 | 0.295082 | 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 |
346c986b22a404321ea50b505eb5fc91f610d540 | 2,427 | py | Python | Events/events.py | DerKeksTV/Keks-Bot | de07281c5bb15e0d578d27a564420a8ba61f6db4 | [
"MIT"
] | 3 | 2020-11-25T20:35:17.000Z | 2021-02-09T16:28:58.000Z | Events/events.py | DerKeksTV/Keks-Bot | de07281c5bb15e0d578d27a564420a8ba61f6db4 | [
"MIT"
] | null | null | null | Events/events.py | DerKeksTV/Keks-Bot | de07281c5bb15e0d578d27a564420a8ba61f6db4 | [
"MIT"
] | null | null | null | import discord
from config import log
from config import config
import Webhook.log_send as ch_log
from Moderating.Perms import role as perms
def message_events(bot):
@bot.event
async def on_ready():
log.ready(bot)
await bot.change_presence(activity=discord.Activity(type=discord.ActivityType.w... | 28.552941 | 142 | 0.668315 | 324 | 2,427 | 4.814815 | 0.20679 | 0.071795 | 0.116667 | 0.14359 | 0.428846 | 0.38141 | 0.177564 | 0.098718 | 0.051282 | 0 | 0 | 0 | 0.236918 | 2,427 | 84 | 143 | 28.892857 | 0.842333 | 0 | 0 | 0.25 | 0 | 0 | 0.022662 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.073529 | 0 | 0.132353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
346cfe4c3d3044bc5050dc5d28596facaf4673fd | 740 | py | Python | fme_server_lib/FileLogger/Logger.py | bcgov/fme | 0564363c59ccd06fe79459ec08ff3b7c5bf7e061 | [
"Apache-2.0"
] | null | null | null | fme_server_lib/FileLogger/Logger.py | bcgov/fme | 0564363c59ccd06fe79459ec08ff3b7c5bf7e061 | [
"Apache-2.0"
] | 2 | 2021-07-26T20:33:16.000Z | 2021-07-26T20:33:19.000Z | fme_server_lib/FileLogger/Logger.py | bcgov/fme | 0564363c59ccd06fe79459ec08ff3b7c5bf7e061 | [
"Apache-2.0"
] | null | null | null | import os
class AppLogger:
def __init__(self, name, save_file=True, clear=False):
self.file_name = name
self.save_file = save_file
if self.save_file and clear:
if os.path.exists(name):
os.remove(name)
def write_line(self, obj):
# text = None
... | 26.428571 | 58 | 0.502703 | 95 | 740 | 3.747368 | 0.421053 | 0.11236 | 0.101124 | 0.078652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.378378 | 740 | 27 | 59 | 27.407407 | 0.773913 | 0.117568 | 0 | 0 | 0 | 0 | 0.010819 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.055556 | 0 | 0.222222 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
346f2ad7b27dc11410aa8b7a9e1b78989914849c | 3,162 | py | Python | compatibility-verifier/sample-test-suite/config/dataGenerator.py | WangCHX/pinot | ae02ecefa4b4367fc3547fa5bfb718d63b45b477 | [
"Apache-2.0"
] | 2,144 | 2015-06-10T16:02:11.000Z | 2018-11-08T07:59:13.000Z | compatibility-verifier/sample-test-suite/config/dataGenerator.py | PrachiKhobragade/pinot | f200ec515630442f95f6fc55f568b00f7cb04f4f | [
"Apache-2.0"
] | 1,894 | 2015-06-11T05:17:48.000Z | 2018-11-09T19:22:27.000Z | compatibility-verifier/sample-test-suite/config/dataGenerator.py | PrachiKhobragade/pinot | f200ec515630442f95f6fc55f568b00f7cb04f4f | [
"Apache-2.0"
] | 418 | 2015-06-10T15:53:06.000Z | 2018-11-09T00:05:06.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 33.638298 | 98 | 0.684377 | 400 | 3,162 | 5.2025 | 0.425 | 0.052859 | 0.028832 | 0.046132 | 0.265738 | 0.195099 | 0.172994 | 0.139356 | 0.139356 | 0.139356 | 0 | 0.041989 | 0.224225 | 3,162 | 93 | 99 | 34 | 0.80636 | 0.310879 | 0 | 0.146341 | 0 | 0 | 0.05726 | 0.027607 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.073171 | 0 | 0.243902 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
346f5766c7d34d7d2a361557c6ee59f18fb84c1f | 2,969 | py | Python | lib/datasets/factory.py | amitfishy/py_faster_rcnn | 75c340f134ccb1d0efad68d12b6c86c1d6ae7593 | [
"BSD-2-Clause"
] | null | null | null | lib/datasets/factory.py | amitfishy/py_faster_rcnn | 75c340f134ccb1d0efad68d12b6c86c1d6ae7593 | [
"BSD-2-Clause"
] | null | null | null | lib/datasets/factory.py | amitfishy/py_faster_rcnn | 75c340f134ccb1d0efad68d12b6c86c1d6ae7593 | [
"BSD-2-Clause"
] | null | null | null | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Factory method for easily getting imdbs by name."""
from pascal_voc... | 39.586667 | 127 | 0.655776 | 383 | 2,969 | 4.869452 | 0.315927 | 0.048257 | 0.062735 | 0.071314 | 0.382306 | 0.292761 | 0.261662 | 0.238606 | 0.202145 | 0.202145 | 0 | 0.017756 | 0.165376 | 2,969 | 74 | 128 | 40.121622 | 0.734867 | 0.676659 | 0 | 0.190476 | 0 | 0 | 0.023464 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.190476 | 0 | 0.47619 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
346ff732f27704ee6121d33b77e42e3601c9c09f | 4,668 | py | Python | src/gitlab/Gitlab.py | arrnorets/pylibs | 191c75150b23b5a55b713d152b49c8e0e52a0f24 | [
"Apache-2.0"
] | null | null | null | src/gitlab/Gitlab.py | arrnorets/pylibs | 191c75150b23b5a55b713d152b49c8e0e52a0f24 | [
"Apache-2.0"
] | null | null | null | src/gitlab/Gitlab.py | arrnorets/pylibs | 191c75150b23b5a55b713d152b49c8e0e52a0f24 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# An object that stores information about project in Gitlab. It uses API v4.
from configparser import ConfigParser
import json
import requests
import shutil
import sys
import urllib.parse
import zipfile
class GitlabProjectMeta():
def __init__(self, *args, **kwargs)... | 40.591304 | 178 | 0.588903 | 490 | 4,668 | 5.557143 | 0.3 | 0.026441 | 0.092912 | 0.099155 | 0.482556 | 0.463092 | 0.399192 | 0.358061 | 0.358061 | 0.329049 | 0 | 0.00908 | 0.292202 | 4,668 | 114 | 179 | 40.947368 | 0.815073 | 0.1009 | 0 | 0.345679 | 0 | 0.074074 | 0.332935 | 0.200191 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.08642 | 0.012346 | 0.283951 | 0.185185 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |