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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b5f0389774cedeaa041026bfccf255de23607efa | 3,560 | py | Python | app/profiles/schemas/update.py | MrPeker/acikkaynak-service | 21c3f2faaa84342d2fa95709293bc84d1e2a23ae | [
"Apache-2.0"
] | 5 | 2021-02-28T22:29:13.000Z | 2021-11-29T00:24:28.000Z | app/profiles/schemas/update.py | MrPeker/acikkaynak-service | 21c3f2faaa84342d2fa95709293bc84d1e2a23ae | [
"Apache-2.0"
] | null | null | null | app/profiles/schemas/update.py | MrPeker/acikkaynak-service | 21c3f2faaa84342d2fa95709293bc84d1e2a23ae | [
"Apache-2.0"
] | 3 | 2021-03-03T19:56:30.000Z | 2021-03-06T22:10:35.000Z | import graphene
from app.common.library import graphql
from app.common.models import City
from ..models import Profile
from .queries import ProfileNode
# queries
class Query(graphene.ObjectType):
pass
# mutations
class ProfileUpdateMutation(graphene.Mutation):
Output = ProfileNode
class Arguments:
... | 31.504425 | 85 | 0.601404 | 387 | 3,560 | 5.369509 | 0.26615 | 0.057748 | 0.040423 | 0.024543 | 0.133782 | 0.084697 | 0.084697 | 0.030799 | 0 | 0 | 0 | 0.000804 | 0.301124 | 3,560 | 112 | 86 | 31.785714 | 0.834405 | 0.09382 | 0 | 0.026316 | 0 | 0 | 0.054121 | 0 | 0 | 0 | 0 | 0.008929 | 0 | 1 | 0.013158 | false | 0.026316 | 0.065789 | 0 | 0.171053 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5f230d3037e9e1528cdc347b55ec3805c78a481 | 3,352 | py | Python | scripts/plot_fits.py | trichter/robust_earthquake_spectra | ef816e30944293e27c0d5da4d31ec2184e6d187b | [
"MIT"
] | 8 | 2021-07-23T13:01:29.000Z | 2022-03-27T17:57:36.000Z | scripts/plot_fits.py | trichter/robust_earthquake_spectra | ef816e30944293e27c0d5da4d31ec2184e6d187b | [
"MIT"
] | null | null | null | scripts/plot_fits.py | trichter/robust_earthquake_spectra | ef816e30944293e27c0d5da4d31ec2184e6d187b | [
"MIT"
] | null | null | null | # Copyright 2021 Tom Eulenfeld, MIT license
import matplotlib as mpl
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import numpy as np
import pickle
from qopen.core import get_pair, Gsmooth
from qopen.rt import G as G_func
def set_gridlabels(ax, i, n, N, xlabel='frequency (Hz)', ylabel=None):... | 34.204082 | 77 | 0.568019 | 524 | 3,352 | 3.545802 | 0.370229 | 0.022605 | 0.008073 | 0.006459 | 0.057589 | 0.025834 | 0.025834 | 0.025834 | 0.025834 | 0 | 0 | 0.062016 | 0.268795 | 3,352 | 97 | 78 | 34.556701 | 0.696042 | 0.012232 | 0 | 0 | 0 | 0 | 0.0822 | 0.025688 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.0875 | 0.0125 | 0.1625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5f407423805cba0b85dc8b97c1c27b8ba3da9b6 | 225 | py | Python | answers/Aryan Goyal/Day 10/Que 1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 22 | 2021-03-16T14:07:47.000Z | 2021-08-13T08:52:50.000Z | answers/Aryan Goyal/Day 10/Que 1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 174 | 2021-03-16T21:16:40.000Z | 2021-06-12T05:19:51.000Z | answers/Aryan Goyal/Day 10/Que 1.py | arc03/30-DaysOfCode-March-2021 | 6d6e11bf70280a578113f163352fa4fa8408baf6 | [
"MIT"
] | 135 | 2021-03-16T16:47:12.000Z | 2021-06-27T14:22:38.000Z | def pangram(s):
a = "abcdefghijklmnopqrstuvwxyz"
for i in a:
if i not in s.lower():
return False
return True
# main
string1 = input()
if(pangram(string1) == True):
print("Yes")
else:
print("No")
| 17.307692 | 35 | 0.6 | 31 | 225 | 4.354839 | 0.677419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012048 | 0.262222 | 225 | 12 | 36 | 18.75 | 0.801205 | 0.017778 | 0 | 0 | 0 | 0 | 0.141553 | 0.118721 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.272727 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5f8afd3209dc9c313d59f605ef9e611cf525951 | 9,348 | py | Python | tests/test_reliable_redis_backend.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 23 | 2015-04-29T04:47:02.000Z | 2022-03-11T12:43:01.000Z | tests/test_reliable_redis_backend.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 23 | 2015-02-27T14:30:47.000Z | 2021-12-02T14:18:34.000Z | tests/test_reliable_redis_backend.py | thread/django-lightweight-queue | 2c67eb13a454fa1a02f8445c26915b6e9261fdad | [
"BSD-3-Clause"
] | 1 | 2015-08-18T12:27:08.000Z | 2015-08-18T12:27:08.000Z | import datetime
import unittest
import contextlib
import unittest.mock
from typing import Any, Dict, Tuple, Mapping, Iterator, Optional
import fakeredis
from django_lightweight_queue.job import Job
from django_lightweight_queue.types import QueueName
from django_lightweight_queue.backends.reliable_redis import (
R... | 28.5 | 81 | 0.578947 | 1,009 | 9,348 | 5.234886 | 0.14668 | 0.081219 | 0.056797 | 0.068345 | 0.68989 | 0.6649 | 0.641992 | 0.634419 | 0.611132 | 0.593715 | 0 | 0.010722 | 0.321566 | 9,348 | 327 | 82 | 28.587156 | 0.822138 | 0.006846 | 0 | 0.576471 | 0 | 0 | 0.147769 | 0.010886 | 0 | 0 | 0 | 0 | 0.109804 | 1 | 0.047059 | false | 0 | 0.043137 | 0 | 0.109804 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b5f91ae2a0e4966e6263d4fa5ec3616c068ac79a | 653 | py | Python | src/waldur_slurm/migrations/0019_fill_allocation_user_usage.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 26 | 2017-10-18T13:49:58.000Z | 2021-09-19T04:44:09.000Z | src/waldur_slurm/migrations/0019_fill_allocation_user_usage.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 14 | 2018-12-10T14:14:51.000Z | 2021-06-07T10:33:39.000Z | src/waldur_slurm/migrations/0019_fill_allocation_user_usage.py | geant-multicloud/MCMS-mastermind | 81333180f5e56a0bc88d7dad448505448e01f24e | [
"MIT"
] | 32 | 2017-09-24T03:10:45.000Z | 2021-10-16T16:41:09.000Z | from django.db import migrations
def fill_allocation_user_usage(apps, schema_editor):
AllocationUserUsage = apps.get_model('waldur_slurm', 'AllocationUserUsage')
for item in AllocationUserUsage.objects.all():
item.allocation = item.allocation_usage.allocation
item.year = item.allocation_usage... | 28.391304 | 79 | 0.715161 | 70 | 653 | 6.414286 | 0.5 | 0.124722 | 0.126949 | 0.10245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007491 | 0.182236 | 653 | 22 | 80 | 29.681818 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.140888 | 0.045942 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 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 |
b5ffeb36473c0df68ff9596c309080a9ed5b0766 | 4,584 | py | Python | environments/env_locust.py | jwallnoefer/projectivesimulation | b8f7b3d7d492b5d5f6df7f9f0802bead33c946ca | [
"Apache-2.0"
] | 14 | 2018-02-13T17:39:58.000Z | 2021-07-06T18:09:28.000Z | environments/env_locust.py | jwallnoefer/projectivesimulation | b8f7b3d7d492b5d5f6df7f9f0802bead33c946ca | [
"Apache-2.0"
] | null | null | null | environments/env_locust.py | jwallnoefer/projectivesimulation | b8f7b3d7d492b5d5f6df7f9f0802bead33c946ca | [
"Apache-2.0"
] | 8 | 2018-03-22T04:12:31.000Z | 2021-01-31T19:14:28.000Z | # -*- coding: utf-8 -*-
"""
Copyright 2018 Alexey Melnikov and Katja Ried.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.
Please acknowledge the authors when re-using this code and maintain this notice intact.
Code written by Katja Ried... | 49.290323 | 128 | 0.695681 | 676 | 4,584 | 4.594675 | 0.338757 | 0.057952 | 0.019317 | 0.017708 | 0.191565 | 0.140373 | 0.08886 | 0.08886 | 0.08886 | 0.073406 | 0 | 0.021407 | 0.215314 | 4,584 | 92 | 129 | 49.826087 | 0.842091 | 0.506545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.175 | false | 0 | 0.025 | 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 |
bd0162bf0a28c31d37370edf04366759674e96cb | 1,174 | py | Python | masktools/superskims/slit.py | adwasser/masktools | c96c8f375f0e94ee2791466d0ce6d31007f58022 | [
"MIT"
] | null | null | null | masktools/superskims/slit.py | adwasser/masktools | c96c8f375f0e94ee2791466d0ce6d31007f58022 | [
"MIT"
] | null | null | null | masktools/superskims/slit.py | adwasser/masktools | c96c8f375f0e94ee2791466d0ce6d31007f58022 | [
"MIT"
] | null | null | null | from __future__ import (absolute_import, division,
print_function, unicode_literals)
class Slit:
def __init__(self, x, y, length, width, pa, name):
'''
Representation of a slit in a mask. Coordinates are relative to the mask, so that
the x-axis is along the lon... | 39.133333 | 98 | 0.581772 | 168 | 1,174 | 3.964286 | 0.422619 | 0.066066 | 0.033033 | 0.042042 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014851 | 0.311755 | 1,174 | 29 | 99 | 40.482759 | 0.809406 | 0.457411 | 0 | 0 | 0 | 0.076923 | 0.120075 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.384615 | 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 |
bd0183d07de9ad7a1f13f37bb28f41e2ff5b5a7b | 1,940 | py | Python | gemmforge/instructions/builders/alloctor_builder.py | ravil-mobile/gemmforge | 6381584c2d1ce77eaa938de02bc4f130f19cb2e4 | [
"MIT"
] | null | null | null | gemmforge/instructions/builders/alloctor_builder.py | ravil-mobile/gemmforge | 6381584c2d1ce77eaa938de02bc4f130f19cb2e4 | [
"MIT"
] | 2 | 2021-02-01T16:31:22.000Z | 2021-05-05T13:44:43.000Z | gemmforge/instructions/builders/alloctor_builder.py | ravil-mobile/gemmforge | 6381584c2d1ce77eaa938de02bc4f130f19cb2e4 | [
"MIT"
] | null | null | null | from .abstract_builder import AbstractBuilder
from gemmforge.symbol_table import SymbolType, Symbol
from gemmforge.basic_types import RegMemObject, ShrMemObject
from gemmforge.instructions import RegisterAlloc, ShrMemAlloc
from gemmforge.basic_types import GeneralLexicon
from abc import abstractmethod
class AbstractA... | 28.955224 | 72 | 0.723196 | 231 | 1,940 | 5.722944 | 0.255411 | 0.074887 | 0.059002 | 0.064297 | 0.538578 | 0.446293 | 0.427383 | 0.355522 | 0.22239 | 0.22239 | 0 | 0.00253 | 0.185052 | 1,940 | 66 | 73 | 29.393939 | 0.83365 | 0 | 0 | 0.352941 | 0 | 0 | 0.043814 | 0.043814 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0.019608 | 0.117647 | 0 | 0.411765 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd0555b1790f397fc8d762146f856a6acab0847d | 3,043 | py | Python | Python3/809.expressive-words.py | 610yilingliu/leetcode | 30d071b3685c2131bd3462ba77c6c05114f3f227 | [
"MIT"
] | null | null | null | Python3/809.expressive-words.py | 610yilingliu/leetcode | 30d071b3685c2131bd3462ba77c6c05114f3f227 | [
"MIT"
] | null | null | null | Python3/809.expressive-words.py | 610yilingliu/leetcode | 30d071b3685c2131bd3462ba77c6c05114f3f227 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=809 lang=python3
#
# [809] Expressive Words
#
# https://leetcode.com/problems/expressive-words/description/
#
# algorithms
# Medium (46.84%)
# Likes: 320
# Dislikes: 823
# Total Accepted: 45.2K
# Total Submissions: 96.2K
# Testcase Example: '"heeellooo"\n["hello", "hi", "helo"]'
#
# Somet... | 29.833333 | 141 | 0.57049 | 449 | 3,043 | 3.799555 | 0.367483 | 0.023447 | 0.021102 | 0.014068 | 0.069168 | 0.053927 | 0 | 0 | 0 | 0 | 0 | 0.02307 | 0.302005 | 3,043 | 101 | 142 | 30.128713 | 0.780132 | 0.578048 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0 | 0 | 0.137931 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd068843b439a58814f27d16075e43744d08bd52 | 1,601 | py | Python | settings/Microscope_settings.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | null | null | null | settings/Microscope_settings.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 1 | 2019-10-22T21:28:31.000Z | 2019-10-22T21:39:12.000Z | settings/Microscope_settings.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 2 | 2019-06-06T15:06:46.000Z | 2020-07-20T02:03:22.000Z | Size = (1255, 1160)
Position = (39, 26)
ScaleFactor = 1.0
ZoomLevel = 32.0
Orientation = 0
Mirror = False
NominalPixelSize = 0.125
filename = 'Z:\\All Projects\\Crystallization\\2018.08.27.caplilary with crystals inspection\\2018.08.27 CypA 2.jpg'
ImageWindow.Center = (649, 559)
ImageWindow.ViewportCenter = (2.41796875... | 37.232558 | 116 | 0.775141 | 224 | 1,601 | 5.375 | 0.357143 | 0.13289 | 0.037375 | 0.024917 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0.175365 | 0.102436 | 1,601 | 42 | 117 | 38.119048 | 0.662491 | 0 | 0 | 0 | 0 | 0.02381 | 0.065584 | 0.043098 | 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 |
bd07434502bfcaa7d1b29853452ba88cedddad3e | 3,259 | py | Python | model_rocke3d.py | projectcuisines/gcm_ana | cd9f7d47dd4a9088bcd7556b4955d9b8e09b9741 | [
"MIT"
] | 1 | 2021-09-29T18:03:56.000Z | 2021-09-29T18:03:56.000Z | model_rocke3d.py | projectcuisines/thai_trilogy_code | cd9f7d47dd4a9088bcd7556b4955d9b8e09b9741 | [
"MIT"
] | null | null | null | model_rocke3d.py | projectcuisines/thai_trilogy_code | cd9f7d47dd4a9088bcd7556b4955d9b8e09b9741 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Utilities for the ROCKE3D output."""
import dask.array as da
import xarray as xr
from grid import reverse_along_dim, roll_da_to_pm180
from model_um import calc_um_rel
from names import rocke3d
__all__ = ("adjust_rocke3d_grid", "calc_rocke3d_rei", "calc_rocke3d_rel")
calc_rocke3d_rel = calc... | 30.745283 | 83 | 0.666769 | 490 | 3,259 | 4.25102 | 0.383673 | 0.020163 | 0.013442 | 0.012482 | 0.163226 | 0.131541 | 0.131541 | 0.131541 | 0.131541 | 0.131541 | 0 | 0.074542 | 0.246701 | 3,259 | 105 | 84 | 31.038095 | 0.773931 | 0.505063 | 0 | 0 | 0 | 0 | 0.104788 | 0.051353 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.116279 | 0 | 0.209302 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd080979389c4fa7ca1e77a7f150acdec97764c3 | 4,090 | py | Python | models/wordcloud.py | mcxwx123/RecGFI | 6e872c3b8c5398959b119e5ba14e665bbb45c56b | [
"MIT"
] | 9 | 2022-01-28T14:24:35.000Z | 2022-01-30T05:05:03.000Z | models/wordcloud.py | mcxwx123/RecGFI | 6e872c3b8c5398959b119e5ba14e665bbb45c56b | [
"MIT"
] | null | null | null | models/wordcloud.py | mcxwx123/RecGFI | 6e872c3b8c5398959b119e5ba14e665bbb45c56b | [
"MIT"
] | 1 | 2022-01-28T14:24:41.000Z | 2022-01-28T14:24:41.000Z | from wordcloud import WordCloud,STOPWORDS
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import re
import multidict as multidict
from collections import Counter
import json
import datetime
import os
plt.switch_backend('agg')
def removePunctuation(text):
text = re.sub(r'[{}]+'.format('!,;:?`"... | 29.854015 | 138 | 0.596822 | 539 | 4,090 | 4.48423 | 0.306122 | 0.019859 | 0.023169 | 0.016549 | 0.343401 | 0.316094 | 0.29127 | 0.29127 | 0.272238 | 0.272238 | 0 | 0.038797 | 0.243765 | 4,090 | 136 | 139 | 30.073529 | 0.742645 | 0.027873 | 0 | 0.258621 | 0 | 0.034483 | 0.063508 | 0.030998 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043103 | false | 0 | 0.086207 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd08ddc4c6e6b83523aa9e949593219788ab5e5c | 2,996 | py | Python | favorites_updater.py | techonerd/moepoi | 6440f39653bc3560e39429570bd25b7c564b7f54 | [
"MIT"
] | 36 | 2020-07-21T16:19:48.000Z | 2022-03-21T15:31:02.000Z | favorites_updater.py | gaesant/moepoi | cd478ca00afa5140bb8057c7d37b1ccb2fcbe3b6 | [
"MIT"
] | 1 | 2022-02-18T07:41:14.000Z | 2022-02-18T07:41:14.000Z | favorites_updater.py | gaesant/moepoi | cd478ca00afa5140bb8057c7d37b1ccb2fcbe3b6 | [
"MIT"
] | 176 | 2020-07-22T19:24:14.000Z | 2022-03-30T23:42:58.000Z | from python_graphql_client import GraphqlClient
import pathlib
import re
import os
root = pathlib.Path(__file__).parent.resolve()
client = GraphqlClient(endpoint="https://graphql.anilist.co")
TOKEN = os.environ.get("ANILIST_TOKEN", "")
def replace_chunk(content, marker, chunk, inline=False):
r = re.compile(
... | 23.046154 | 94 | 0.502003 | 274 | 2,996 | 5.364964 | 0.332117 | 0.032653 | 0.016327 | 0.027211 | 0.383673 | 0.326531 | 0.326531 | 0.287755 | 0.287755 | 0.287755 | 0 | 0.000519 | 0.357477 | 2,996 | 129 | 95 | 23.224806 | 0.763117 | 0.017356 | 0 | 0.34188 | 0 | 0 | 0.412585 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025641 | false | 0 | 0.034188 | 0.008547 | 0.08547 | 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 |
bd101452c6ae5bad47e4c2d957dbf69805a1b869 | 3,462 | py | Python | SRC/common/IO/GUI/DIR.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 31 | 2015-04-01T15:59:36.000Z | 2022-03-18T20:21:47.000Z | SRC/common/IO/GUI/DIR.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 3 | 2015-02-06T19:30:24.000Z | 2017-05-25T14:14:31.000Z | SRC/common/IO/GUI/DIR.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 7 | 2015-01-23T15:19:22.000Z | 2021-06-09T09:03:59.000Z | # -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we ... | 25.455882 | 75 | 0.624783 | 366 | 3,462 | 5.852459 | 0.519126 | 0.031746 | 0.041083 | 0.012605 | 0.030812 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013867 | 0.250144 | 3,462 | 135 | 76 | 25.644444 | 0.811248 | 0.209705 | 0 | 0.068627 | 0 | 0 | 0.445956 | 0.066544 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009804 | false | 0 | 0.009804 | 0 | 0.019608 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd12daa2d90f5e59ee73aa4f239e4f3eb0699f08 | 4,366 | py | Python | chapter_01/main_chapter01_00.py | couldbebetter/simulations_radar_systems_design | fcb23964e10c7ebb9cb1beabadc257e970a2c1de | [
"MIT"
] | 20 | 2018-02-02T06:46:14.000Z | 2022-01-05T21:25:50.000Z | chapter_01/main_chapter01_00.py | couldbebetter/simulations_radar_systems_design | fcb23964e10c7ebb9cb1beabadc257e970a2c1de | [
"MIT"
] | null | null | null | chapter_01/main_chapter01_00.py | couldbebetter/simulations_radar_systems_design | fcb23964e10c7ebb9cb1beabadc257e970a2c1de | [
"MIT"
] | 5 | 2018-05-31T16:42:07.000Z | 2020-07-30T22:29:43.000Z | # -*- coding: utf-8 -*-
"""
Created on 21 October 2017
implements Listing 1.2. MATLAB Program “fig1_12.m”
in Mahafza radar book
@author: Ashiv Dhondea
"""
import numpy as np
import RadarBasics as RB
import RadarConstants as RC
import RadarEquations as RE
# Importing what's needed for nice plots.
import matplotlib... | 40.803738 | 113 | 0.682776 | 785 | 4,366 | 3.549045 | 0.22293 | 0.046662 | 0.021536 | 0.040201 | 0.703877 | 0.655779 | 0.633166 | 0.549533 | 0.494257 | 0.450826 | 0 | 0.05715 | 0.082226 | 4,366 | 106 | 114 | 41.188679 | 0.638133 | 0.115208 | 0 | 0.186667 | 0 | 0 | 0.166276 | 0.013031 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.08 | 0 | 0.08 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd14232c1edf5c76909d75642903193968483bbc | 1,087 | py | Python | tests/jekpost_tests.py | arjunkrishnababu96/jekpost | 2ddcb337e98c534426d83f1bd6fbde1f45f59225 | [
"MIT"
] | 1 | 2018-10-05T16:53:02.000Z | 2018-10-05T16:53:02.000Z | tests/jekpost_tests.py | arjunkrishnababu96/jekpost | 2ddcb337e98c534426d83f1bd6fbde1f45f59225 | [
"MIT"
] | null | null | null | tests/jekpost_tests.py | arjunkrishnababu96/jekpost | 2ddcb337e98c534426d83f1bd6fbde1f45f59225 | [
"MIT"
] | null | null | null | import unittest
import jekpost.jekpost_create as jek
from datetime import date
class JekpostTests(unittest.TestCase):
def test_date_gets_formatted(self):
"""
Check
31-DEC-2016 (2016-12-31)
1-NOV-2015 (2015-11-01)
11-JAN-2015 (2015-01-11)
"""
sam... | 31.970588 | 68 | 0.580497 | 132 | 1,087 | 4.537879 | 0.371212 | 0.033389 | 0.053422 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142287 | 0.308188 | 1,087 | 33 | 69 | 32.939394 | 0.654255 | 0.084637 | 0 | 0 | 0 | 0 | 0.080253 | 0.022175 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.095238 | false | 0 | 0.142857 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd1639f542971f0b9d004e950fd65037d1434c94 | 4,788 | py | Python | data/fidt_generate.py | PPGod95/FIDTM | b5582c5cc485496d85af2043ffd6e4266f354f3b | [
"MIT"
] | null | null | null | data/fidt_generate.py | PPGod95/FIDTM | b5582c5cc485496d85af2043ffd6e4266f354f3b | [
"MIT"
] | null | null | null | data/fidt_generate.py | PPGod95/FIDTM | b5582c5cc485496d85af2043ffd6e4266f354f3b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@Project :
@FileName:
@Author :penghr
@Time :2021/11/xx xx:xx
@Desc : FIDTM-train/dataset/FIDTM/
├── test
│ ├── gt_fidt_map
│ │ └── IMG_8.h5
│ ├── g... | 33.71831 | 131 | 0.539474 | 672 | 4,788 | 3.714286 | 0.209821 | 0.050481 | 0.050481 | 0.064103 | 0.325321 | 0.213942 | 0.103365 | 0.055288 | 0.03766 | 0.03766 | 0 | 0.032592 | 0.314327 | 4,788 | 141 | 132 | 33.957447 | 0.706975 | 0.268797 | 0 | 0 | 0 | 0 | 0.071303 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013158 | false | 0 | 0.092105 | 0 | 0.118421 | 0.039474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd166a19a710f2d8a3cb312cb57d84d5ce6d3bb6 | 356 | py | Python | tests/urls.py | maykinmedia/djadyen | 8bde7172c72d68975d4a77c7ef6bed73412619dc | [
"BSD-3-Clause"
] | 3 | 2018-10-19T06:57:50.000Z | 2020-11-12T11:20:37.000Z | tests/urls.py | maykinmedia/djadyen | 8bde7172c72d68975d4a77c7ef6bed73412619dc | [
"BSD-3-Clause"
] | 16 | 2017-02-14T12:37:58.000Z | 2019-04-25T07:55:42.000Z | tests/urls.py | maykinmedia/djadyen | 8bde7172c72d68975d4a77c7ef6bed73412619dc | [
"BSD-3-Clause"
] | 2 | 2018-05-16T10:08:34.000Z | 2019-09-29T23:31:04.000Z | try:
from django.urls import path, include
except:
from django.conf.urls import url as path, include
from django.contrib import admin
urlpatterns = [
path(r'^admin/', admin.site.urls),
path(r'^app/', include('tests.app.urls')),
path(r'^adyen/notifications/', include('djadyen.notifications.urls', n... | 27.384615 | 107 | 0.702247 | 47 | 356 | 5.319149 | 0.468085 | 0.12 | 0.072 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143258 | 356 | 12 | 108 | 29.666667 | 0.819672 | 0 | 0 | 0 | 0 | 0 | 0.258427 | 0.132022 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd17b046c9a2e0dbd7f153a5a1f41fd0257f99eb | 5,610 | py | Python | src/Commands.py | rkpop/kokobot | d19d68e12a7e6c0a25373ae5404e46632d59c40f | [
"MIT"
] | 3 | 2018-07-25T23:55:58.000Z | 2018-10-17T05:50:18.000Z | src/Commands.py | rkpop/kokobot | d19d68e12a7e6c0a25373ae5404e46632d59c40f | [
"MIT"
] | null | null | null | src/Commands.py | rkpop/kokobot | d19d68e12a7e6c0a25373ae5404e46632d59c40f | [
"MIT"
] | 1 | 2018-12-01T05:18:48.000Z | 2018-12-01T05:18:48.000Z | import asyncio
from discord.ext import commands
from src.BaseCog import BaseCog
from src.DB import DB
from src.Reasons import Reasons
class Commands(BaseCog):
def __init__(self, bot, config):
super().__init__(bot, config)
self.reasons = Reasons()
HELP_MESSAGE = """
Command: `/kkb <action>... | 31.166667 | 86 | 0.587344 | 691 | 5,610 | 4.596237 | 0.222865 | 0.035894 | 0.035264 | 0.036209 | 0.448048 | 0.406801 | 0.36335 | 0.311083 | 0.293136 | 0.293136 | 0 | 0.012438 | 0.312121 | 5,610 | 179 | 87 | 31.340782 | 0.810573 | 0.012656 | 0 | 0.382353 | 0 | 0 | 0.231714 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.036765 | 0 | 0.080882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd184a22649fd3e0a64f5b17ec6b9f8201e73eaa | 2,981 | py | Python | src/lur/grade.py | qlurkin/lur_python | 39564f276b3c03a073d4922627634b67c3af2052 | [
"MIT"
] | null | null | null | src/lur/grade.py | qlurkin/lur_python | 39564f276b3c03a073d4922627634b67c3af2052 | [
"MIT"
] | null | null | null | src/lur/grade.py | qlurkin/lur_python | 39564f276b3c03a073d4922627634b67c3af2052 | [
"MIT"
] | null | null | null | from cmath import nan
from sqlite3 import DatabaseError
import pandas as pd
import numpy as np
import json
def load_from_csv(path):
dt = pd.read_csv(path, sep=';', dtype={'matricule': object})
return dt.set_index('matricule')
def fix_matricule(matricule):
if matricule.startswith('195'):
return '19... | 31.378947 | 101 | 0.606172 | 406 | 2,981 | 4.330049 | 0.307882 | 0.015927 | 0.044369 | 0.025597 | 0.133106 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02 | 0.211674 | 2,981 | 95 | 102 | 31.378947 | 0.728085 | 0 | 0 | 0.074074 | 0 | 0 | 0.154259 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135802 | false | 0 | 0.061728 | 0.037037 | 0.358025 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd1bc728b1d732bdeadd112c3709dd6ba324fe1b | 5,705 | py | Python | simulate_position_covariance_data.py | ronniyjoseph/Hybrid-Calibration | 7f24a8a5f67d647a47d4559566f7461cb3be57ac | [
"AFL-3.0"
] | null | null | null | simulate_position_covariance_data.py | ronniyjoseph/Hybrid-Calibration | 7f24a8a5f67d647a47d4559566f7461cb3be57ac | [
"AFL-3.0"
] | 9 | 2019-10-23T03:30:33.000Z | 2020-02-19T05:25:27.000Z | simulate_position_covariance_data.py | ronniyjoseph/Hybrid-Calibration | 7f24a8a5f67d647a47d4559566f7461cb3be57ac | [
"AFL-3.0"
] | null | null | null | import os
import numpy
import copy
import argparse
from matplotlib import pyplot
from src.radiotelescope import RadioTelescope
from src.radiotelescope import BaselineTable
from src.skymodel import SkyRealisation
from simulate_beam_covariance_data import compute_baseline_covariance
from simulate_beam_covariance_data im... | 46.382114 | 117 | 0.713234 | 636 | 5,705 | 6.069182 | 0.245283 | 0.025648 | 0.030829 | 0.038083 | 0.351554 | 0.315026 | 0.196114 | 0.180052 | 0.125907 | 0.096891 | 0 | 0.013623 | 0.202279 | 5,705 | 122 | 118 | 46.762295 | 0.834542 | 0.098335 | 0 | 0.074074 | 0 | 0 | 0.097214 | 0.055913 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.17284 | 0 | 0.246914 | 0.049383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd1d6496d7db8cd8d21e423c19bb1534688474e4 | 24,456 | py | Python | anthill/event/admin.py | anthill-services/anthill-event | 3c303f33e4c150ce2dfed4f3534ec40e935ecfb8 | [
"MIT"
] | null | null | null | anthill/event/admin.py | anthill-services/anthill-event | 3c303f33e4c150ce2dfed4f3534ec40e935ecfb8 | [
"MIT"
] | null | null | null | anthill/event/admin.py | anthill-services/anthill-event | 3c303f33e4c150ce2dfed4f3534ec40e935ecfb8 | [
"MIT"
] | 1 | 2017-12-03T22:03:10.000Z | 2017-12-03T22:03:10.000Z |
from anthill.common.validate import validate
from anthill.common import admin as a, update
from . model.event import EventNotFound, CategoryNotFound, EventFlags, EventEndAction
import ujson
import collections
EVENT_END_ACTION_DESCRIPTION = """
<b>Send Message</b><br>A message with detailed information about event ... | 36.392857 | 124 | 0.5294 | 2,457 | 24,456 | 5.171754 | 0.111518 | 0.027701 | 0.033997 | 0.035256 | 0.65279 | 0.592744 | 0.551507 | 0.522625 | 0.466121 | 0.413866 | 0 | 0.001618 | 0.342738 | 24,456 | 671 | 125 | 36.447094 | 0.788914 | 0 | 0 | 0.509158 | 0 | 0.016484 | 0.236639 | 0.018851 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034799 | false | 0 | 0.009158 | 0.027473 | 0.10989 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd1d74e5ac367e134c8e0a19a4b10cfe4ee5fb88 | 15,704 | py | Python | main.py | opt12/gym-jsbsim-eee | fa61d0d4679fd65b5736fc562fe268714b4e08d8 | [
"MIT"
] | 7 | 2020-11-10T07:33:40.000Z | 2021-06-23T07:25:43.000Z | main.py | opt12/gym-jsbsim-eee | fa61d0d4679fd65b5736fc562fe268714b4e08d8 | [
"MIT"
] | null | null | null | main.py | opt12/gym-jsbsim-eee | fa61d0d4679fd65b5736fc562fe268714b4e08d8 | [
"MIT"
] | 5 | 2020-07-12T00:10:59.000Z | 2021-06-22T09:13:13.000Z | import sys, os
# sys.path.append(os.path.join(os.path.dirname(__file__)) #TODO: Is this a good idea? Dunno! It works!
# print(os.path.join(os.path.dirname(__file__)))
import argparse
import markov_pilot.environment.properties as prp
from markov_pilot.environment.environment import NoFGJsbSimEnv_multi, J... | 59.037594 | 219 | 0.707972 | 2,071 | 15,704 | 5.061806 | 0.201352 | 0.024897 | 0.032433 | 0.022894 | 0.409425 | 0.338167 | 0.26252 | 0.228084 | 0.178575 | 0.142898 | 0 | 0.020727 | 0.201223 | 15,704 | 265 | 220 | 59.260377 | 0.814971 | 0.310303 | 0 | 0.136054 | 0 | 0 | 0.139292 | 0.004097 | 0 | 0 | 0 | 0.003774 | 0 | 1 | 0.020408 | false | 0 | 0.095238 | 0 | 0.136054 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd1d8b232aa33e6da7911055afde86063303f3d6 | 19,781 | py | Python | atm/core.py | HDI-Project/ATM | dde454a95e963a460843a61bbb44d18982984b17 | [
"MIT"
] | 554 | 2017-12-19T06:43:11.000Z | 2022-03-26T04:24:55.000Z | atm/core.py | BTHUNTERCN/ATM | dde454a95e963a460843a61bbb44d18982984b17 | [
"MIT"
] | 128 | 2017-12-19T21:30:32.000Z | 2021-04-19T17:03:39.000Z | atm/core.py | BTHUNTERCN/ATM | dde454a95e963a460843a61bbb44d18982984b17 | [
"MIT"
] | 140 | 2017-12-20T03:47:04.000Z | 2022-03-17T01:50:24.000Z | # -*- coding: utf-8 -*-
"""Core ATM module.
This module contains the ATM class, which is the one responsible for
executing and orchestrating the main ATM functionalities.
"""
import logging
import random
import time
from datetime import datetime, timedelta
from operator import attrgetter
from tqdm import tqdm
from... | 40.954451 | 95 | 0.547495 | 2,186 | 19,781 | 4.830741 | 0.16011 | 0.051515 | 0.057955 | 0.009659 | 0.492045 | 0.479356 | 0.464583 | 0.464583 | 0.452083 | 0.443182 | 0 | 0.005054 | 0.36985 | 19,781 | 482 | 96 | 41.039419 | 0.842118 | 0.408473 | 0 | 0.25974 | 0 | 0 | 0.059423 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025974 | false | 0.004329 | 0.04329 | 0 | 0.099567 | 0.021645 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd225009cbeb540acf88e600f37e2294b3fa16ce | 742 | py | Python | dbcollection/datasets/leeds_sports_pose/leeds_sports_pose/__init__.py | dbcollection/dbcollection | a36f57a11bc2636992e26bba4406914162773dd9 | [
"MIT"
] | 23 | 2017-09-20T19:23:26.000Z | 2022-01-09T16:18:11.000Z | dbcollection/datasets/leeds_sports_pose/leeds_sports_pose/__init__.py | dbcollection/dbcollection | a36f57a11bc2636992e26bba4406914162773dd9 | [
"MIT"
] | 148 | 2017-07-23T14:28:28.000Z | 2022-01-13T00:35:17.000Z | dbcollection/datasets/leeds_sports_pose/leeds_sports_pose/__init__.py | dbcollection/dbcollection | a36f57a11bc2636992e26bba4406914162773dd9 | [
"MIT"
] | 6 | 2018-01-12T15:47:57.000Z | 2021-02-09T06:32:39.000Z | """
Leeds Sports Pose (LSP) Dataset download/process functions.
"""
from dbcollection.datasets import BaseDataset
from .keypoints import Keypoints, KeypointsOriginal
urls = (
'http://sam.johnson.io/research/lsp_dataset_original.zip',
{
'url': 'http://sam.johnson.io/research/lsp_dataset.zip',
... | 24.733333 | 78 | 0.699461 | 78 | 742 | 6.512821 | 0.474359 | 0.098425 | 0.059055 | 0.070866 | 0.232283 | 0.133858 | 0.133858 | 0 | 0 | 0 | 0 | 0 | 0.172507 | 742 | 29 | 79 | 25.586207 | 0.827362 | 0.172507 | 0 | 0 | 0 | 0 | 0.342762 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd25018110a4f497d278f0c5fcc41f39296d2cf6 | 3,505 | py | Python | flydra_analysis/flydra_analysis/a2/check_mainbrain_h5_contiguity.py | elhananby/flydra | 09b86859b1863700cdea0bbcdd4758da6c83930b | [
"Apache-2.0",
"MIT"
] | 45 | 2017-08-25T06:46:56.000Z | 2021-08-29T16:42:49.000Z | flydra_analysis/flydra_analysis/a2/check_mainbrain_h5_contiguity.py | elhananby/flydra | 09b86859b1863700cdea0bbcdd4758da6c83930b | [
"Apache-2.0",
"MIT"
] | 7 | 2017-10-16T10:46:20.000Z | 2020-12-03T16:42:55.000Z | flydra_analysis/flydra_analysis/a2/check_mainbrain_h5_contiguity.py | elhananby/flydra | 09b86859b1863700cdea0bbcdd4758da6c83930b | [
"Apache-2.0",
"MIT"
] | 21 | 2018-04-11T09:06:40.000Z | 2021-12-26T23:38:40.000Z | #!/usr/bin/env python
from __future__ import print_function
import tables
import argparse
import numpy as np
import sys
def check_mainbrain_h5_contiguity(
filename, slow_but_less_ram=False, shortcircuit=False, verbose=False
):
failed_obj_ids = []
if verbose:
print("opening %r" % filename)
with... | 33.066038 | 90 | 0.575178 | 437 | 3,505 | 4.389016 | 0.343249 | 0.056309 | 0.056309 | 0.036496 | 0.324296 | 0.253389 | 0.20438 | 0.20438 | 0.17414 | 0.17414 | 0 | 0.014178 | 0.315835 | 3,505 | 105 | 91 | 33.380952 | 0.785655 | 0.043937 | 0 | 0.366667 | 0 | 0 | 0.152558 | 0.030212 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.077778 | 0 | 0.144444 | 0.122222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd2629883944c343ab1a2e4d82cafb22e7d45e13 | 2,304 | py | Python | reader.py | Birdulon/html-mangareader | dbdbbaa454125896b9de2d918f2ab59a3c06adc2 | [
"MIT"
] | 1 | 2021-05-08T14:58:17.000Z | 2021-05-08T14:58:17.000Z | reader.py | Birdulon/html-mangareader | dbdbbaa454125896b9de2d918f2ab59a3c06adc2 | [
"MIT"
] | null | null | null | reader.py | Birdulon/html-mangareader | dbdbbaa454125896b9de2d918f2ab59a3c06adc2 | [
"MIT"
] | null | null | null | import sys
import traceback
import webbrowser
from argparse import ArgumentParser, Namespace
from os import path
from tkinter import Tk, messagebox, filedialog
from mangareader.mangarender import extract_render
from mangareader import templates
from time import sleep
def parse_args() -> Namespace:
parser = Argume... | 34.909091 | 100 | 0.631076 | 262 | 2,304 | 5.324427 | 0.416031 | 0.021505 | 0.020072 | 0.034409 | 0.076703 | 0.035842 | 0.035842 | 0 | 0 | 0 | 0 | 0.001154 | 0.24783 | 2,304 | 65 | 101 | 35.446154 | 0.803808 | 0 | 0 | 0.033898 | 0 | 0 | 0.161458 | 0.055556 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0.016949 | 0.152542 | 0 | 0.220339 | 0.016949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd29d7f8357ca28a05195118a23e7f338eea17aa | 483 | py | Python | Qemu/power_on_qemu.py | I-Rinka/Virtualization-Difference | 7727215f5b5cdb8bf18d91ef76685ccd3489e760 | [
"MIT"
] | null | null | null | Qemu/power_on_qemu.py | I-Rinka/Virtualization-Difference | 7727215f5b5cdb8bf18d91ef76685ccd3489e760 | [
"MIT"
] | null | null | null | Qemu/power_on_qemu.py | I-Rinka/Virtualization-Difference | 7727215f5b5cdb8bf18d91ef76685ccd3489e760 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import socket
import os
import time
import threading
def power_on():
os.system("sudo bash ./start_vm.sh")
if __name__ == "__main__":
n=os.fork()
if n>0:
os.system("sleep 2")
os.system("sudo ip addr add 172.19.0.1/24 dev tap1")
os.system("... | 18.576923 | 64 | 0.52588 | 71 | 483 | 3.366197 | 0.577465 | 0.133891 | 0.150628 | 0.117155 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.049844 | 0.335404 | 483 | 25 | 65 | 19.32 | 0.694704 | 0.138716 | 0 | 0 | 0 | 0 | 0.243961 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.266667 | 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 |
bd2a739ca5325c09ff24414f0ce30e0bab1eacb7 | 381 | py | Python | tests/unit/python/execution_tree/dynamic_init.py | frzfrsfra4/phylanx | 001fe7081f3a24e56157cdb21b2d126b8953ff5d | [
"BSL-1.0"
] | 83 | 2017-08-27T15:09:13.000Z | 2022-01-18T17:03:41.000Z | tests/unit/python/execution_tree/dynamic_init.py | frzfrsfra4/phylanx | 001fe7081f3a24e56157cdb21b2d126b8953ff5d | [
"BSL-1.0"
] | 808 | 2017-08-27T15:35:01.000Z | 2021-12-14T17:30:50.000Z | tests/unit/python/execution_tree/dynamic_init.py | frzfrsfra4/phylanx | 001fe7081f3a24e56157cdb21b2d126b8953ff5d | [
"BSL-1.0"
] | 55 | 2017-08-27T15:09:22.000Z | 2022-03-25T12:07:34.000Z | # Copyright (c) 2018 R. Tohid
#
# Distributed under the Boost Software License, Version 1.0. (See accompanying
# file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
from phylanx import Phylanx, PhylanxSession
@Phylanx
def foo():
a = 2
return a
def main():
assert (2 == foo())
if _... | 17.318182 | 79 | 0.671916 | 56 | 381 | 4.357143 | 0.678571 | 0.02459 | 0.07377 | 0.098361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043189 | 0.209974 | 381 | 21 | 80 | 18.142857 | 0.767442 | 0.461942 | 0 | 0 | 0 | 0 | 0.040201 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.2 | false | 0 | 0.1 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd2af34a041fa744101d9895d1374416d6964a87 | 1,073 | py | Python | indexStackexchange.py | o19s/semantic-search-course | ebe15eaa65c5009fa2d526b4df72bf8dbfb8630f | [
"Apache-2.0"
] | 6 | 2016-03-07T18:41:52.000Z | 2016-12-22T20:45:17.000Z | indexStackexchange.py | o19s/semantic-search-course | ebe15eaa65c5009fa2d526b4df72bf8dbfb8630f | [
"Apache-2.0"
] | 1 | 2016-03-07T19:09:19.000Z | 2016-03-07T19:09:19.000Z | indexStackexchange.py | o19s/semantic-search-course | ebe15eaa65c5009fa2d526b4df72bf8dbfb8630f | [
"Apache-2.0"
] | null | null | null | import requests
import json
def openPosts():
data = ""
try:
f = open("scifi_stackexchange.json")
data = f.read()
except IOError:
stackExchangeData ="https://storage.googleapis.com/quepid-sample-datasets/elasticsearch/scifi_stackexchange.json"
resp = requests.get(stackExchan... | 26.825 | 121 | 0.587139 | 117 | 1,073 | 5.299145 | 0.470085 | 0.087097 | 0.106452 | 0.074194 | 0.087097 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005168 | 0.278658 | 1,073 | 39 | 122 | 27.512821 | 0.795866 | 0 | 0 | 0 | 0 | 0 | 0.240447 | 0.044734 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.125 | 0 | 0.21875 | 0.09375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd2c89f3c83b146173c4e02b15272145ff176687 | 1,634 | py | Python | Lab01_Introduction/exercise-4.py | rodrigoc-silva/Python-course | 327b20738a4b383510faddc0ec26a54be1bbd717 | [
"MIT"
] | null | null | null | Lab01_Introduction/exercise-4.py | rodrigoc-silva/Python-course | 327b20738a4b383510faddc0ec26a54be1bbd717 | [
"MIT"
] | null | null | null | Lab01_Introduction/exercise-4.py | rodrigoc-silva/Python-course | 327b20738a4b383510faddc0ec26a54be1bbd717 | [
"MIT"
] | null | null | null |
#This program shows the amount of each ingredient needed for a numbers of cookies.
#constants
sugar = 1.5
butter = 1
flour = 2.75
cookies = 48
#input
numOfCookies = int(input('Enter the number of cookies:'))
#calculation
amtSugar = sugar / cookies * numOfCookies
amtButter = butter / cookies * numOfCookies
amtFlour ... | 18.155556 | 82 | 0.660343 | 274 | 1,634 | 3.937956 | 0.266423 | 0.100093 | 0.07785 | 0.088971 | 0.29101 | 0.163114 | 0.163114 | 0.163114 | 0.137164 | 0.137164 | 0 | 0.066971 | 0.195838 | 1,634 | 89 | 83 | 18.359551 | 0.754186 | 0.603427 | 0 | 0 | 0 | 0 | 0.255435 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.307692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd2ee870e5845b50e43bca14345288b03bd674b2 | 1,340 | py | Python | zombie_infection.py | schana/random-hacking | 5eeda2f05681ce9f56f1b9114255c2392e92ee9a | [
"Apache-2.0"
] | null | null | null | zombie_infection.py | schana/random-hacking | 5eeda2f05681ce9f56f1b9114255c2392e92ee9a | [
"Apache-2.0"
] | null | null | null | zombie_infection.py | schana/random-hacking | 5eeda2f05681ce9f56f1b9114255c2392e92ee9a | [
"Apache-2.0"
] | null | null | null | import random
import sys
sys.setrecursionlimit(15000)
count_columns = 50
count_rows = 40
matrix = [[random.randint(0, 1) for i in range(count_columns)] for j in range(count_rows)]
matrix = [[0] * count_columns for _ in range(count_rows)]
for _ in range(10):
matrix[random.randint(0, count_rows - 1)][random.randin... | 24.363636 | 90 | 0.590299 | 217 | 1,340 | 3.576037 | 0.271889 | 0.028351 | 0.05799 | 0.072165 | 0.203608 | 0.155928 | 0.085052 | 0.085052 | 0.085052 | 0 | 0 | 0.031185 | 0.28209 | 1,340 | 54 | 91 | 24.814815 | 0.775468 | 0.074627 | 0 | 0.225 | 0 | 0 | 0.001617 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.125 | 0.175 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd347bef874fe2b7fd02a07a979e78547511f381 | 216 | py | Python | src/Main.py | Yee172/Memory_Revival | e9bf4598564546ada3b9d9bfce7bf35fad348850 | [
"MIT"
] | null | null | null | src/Main.py | Yee172/Memory_Revival | e9bf4598564546ada3b9d9bfce7bf35fad348850 | [
"MIT"
] | null | null | null | src/Main.py | Yee172/Memory_Revival | e9bf4598564546ada3b9d9bfce7bf35fad348850 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'Yee_172'
__date__ = '2017/12/03'
import sys
PATH = sys.path[0][:-4]
sys.path.append(PATH)
from src.Func import *
win = MainWin()
sys.exit(app.exec_())
| 14.4 | 23 | 0.648148 | 35 | 216 | 3.714286 | 0.8 | 0.161538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.081081 | 0.143519 | 216 | 14 | 24 | 15.428571 | 0.621622 | 0.199074 | 0 | 0 | 0 | 0 | 0.099415 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd34863190099e5a1deaa0f914751c6c45b7892c | 1,191 | py | Python | tools/protonvpn-ips/main.py | alessandrobasi/basi-warninglist | 995d3cd94e1dc7afdc09eff11bc1baa352b225e9 | [
"MIT"
] | null | null | null | tools/protonvpn-ips/main.py | alessandrobasi/basi-warninglist | 995d3cd94e1dc7afdc09eff11bc1baa352b225e9 | [
"MIT"
] | null | null | null | tools/protonvpn-ips/main.py | alessandrobasi/basi-warninglist | 995d3cd94e1dc7afdc09eff11bc1baa352b225e9 | [
"MIT"
] | null | null | null |
import requests, os
dir_name = os.path.basename(os.path.dirname(os.path.realpath(__file__)))
save_path = "../../lists/"+dir_name+"/"
def main():
ips = set()
with open(save_path+"all.txt","r",encoding="UTF-8") as f:
for line in f:
ips.add(line[:-1])
url_ = 'https://api.protonmail.c... | 31.342105 | 191 | 0.577666 | 173 | 1,191 | 3.83815 | 0.491329 | 0.060241 | 0.072289 | 0.084337 | 0.131024 | 0.081325 | 0 | 0 | 0 | 0 | 0 | 0.049724 | 0.240134 | 1,191 | 38 | 192 | 31.342105 | 0.683978 | 0 | 0 | 0 | 0 | 0.037037 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.037037 | 0 | 0.111111 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd3567ec2bb0a247f32f1485e666f3eac6f7dc19 | 2,809 | py | Python | dakota/sobol/sobol.py | arfc/dcwrapper | 82226f601580be464668fa63df64f037962db57e | [
"BSD-3-Clause"
] | 1 | 2020-03-26T14:09:30.000Z | 2020-03-26T14:09:30.000Z | dakota/sobol/sobol.py | mehmeturkmen/dcwrapper | 82226f601580be464668fa63df64f037962db57e | [
"BSD-3-Clause"
] | 10 | 2019-10-08T18:46:36.000Z | 2019-11-14T19:23:05.000Z | dakota/sobol/sobol.py | mehmeturkmen/dcwrapper | 82226f601580be464668fa63df64f037962db57e | [
"BSD-3-Clause"
] | 3 | 2019-10-29T19:23:44.000Z | 2020-09-18T13:09:49.000Z | # Dakota Python Driving Script
# necessary python modules
import dakota.interfacing as di
import subprocess
import sys
import os
import multiprocessing
sys.path.append('../../scripts')
import input as inp
import output as oup
import external_cym
cycdir = '../../cyclus-files/sobol/'
# -----------------... | 25.770642 | 62 | 0.555714 | 364 | 2,809 | 4.200549 | 0.302198 | 0.023545 | 0.031393 | 0.054938 | 0.328973 | 0.299542 | 0.218443 | 0.218443 | 0.158273 | 0.158273 | 0 | 0.005119 | 0.234959 | 2,809 | 108 | 63 | 26.009259 | 0.706375 | 0.133499 | 0 | 0.355263 | 0 | 0 | 0.133651 | 0.010813 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.105263 | 0 | 0.105263 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd3a8db83a92cdd76c21b817a1af0e0151e6c4ab | 5,690 | py | Python | app/hide-and-seek/common/computils/debug.py | loramf/mlforhealthlabpub | aa5a42a4814cf69c8223f27c21324ee39d43c404 | [
"BSD-3-Clause"
] | 171 | 2021-02-12T10:23:19.000Z | 2022-03-29T01:58:52.000Z | app/hide-and-seek/common/computils/debug.py | loramf/mlforhealthlabpub | aa5a42a4814cf69c8223f27c21324ee39d43c404 | [
"BSD-3-Clause"
] | 4 | 2021-06-01T08:18:33.000Z | 2022-02-20T13:37:30.000Z | app/hide-and-seek/common/computils/debug.py | loramf/mlforhealthlabpub | aa5a42a4814cf69c8223f27c21324ee39d43c404 | [
"BSD-3-Clause"
] | 93 | 2021-02-10T03:21:59.000Z | 2022-03-30T19:10:37.000Z | """
Debug helpers.
"""
import io
import logging
from typing import Union, Optional, Callable
import numpy as np
import pandas as pd
_printt_log_method = print
def set_log_method(log_method: Optional[Callable] = None) -> None:
global _printt_log_method # pylint: disable=global-statement
if log_method is no... | 30.10582 | 110 | 0.618102 | 741 | 5,690 | 4.585695 | 0.233468 | 0.037081 | 0.044144 | 0.030901 | 0.258682 | 0.16186 | 0.128311 | 0.114185 | 0.099765 | 0.084756 | 0 | 0.016675 | 0.25167 | 5,690 | 188 | 111 | 30.265957 | 0.781353 | 0.273814 | 0 | 0.284404 | 0 | 0 | 0.114696 | 0.038316 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082569 | false | 0 | 0.045872 | 0 | 0.174312 | 0.100917 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd3b0f2c14b30cd87e31089661c02ceeb62af81c | 3,862 | py | Python | setup.py | jacklinke/django-directed | 8ef8cd8a71e9a03a8628dce6465351f676f542ff | [
"Apache-2.0"
] | 2 | 2022-02-09T10:15:40.000Z | 2022-02-22T14:11:03.000Z | setup.py | jacklinke/django-directed | 8ef8cd8a71e9a03a8628dce6465351f676f542ff | [
"Apache-2.0"
] | 1 | 2022-02-20T14:49:37.000Z | 2022-02-20T14:49:37.000Z | setup.py | jacklinke/django-directed | 8ef8cd8a71e9a03a8628dce6465351f676f542ff | [
"Apache-2.0"
] | null | null | null | import os
import re
import sys
from collections import defaultdict
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def get_version(*file_paths):
"""Retrieves the version from django_directed/__init__.py"""
filename = os.path.join(os.path.dirname(__file__), *file... | 33.877193 | 108 | 0.634645 | 466 | 3,862 | 5.126609 | 0.405579 | 0.064462 | 0.052323 | 0.043533 | 0.064044 | 0.046463 | 0 | 0 | 0 | 0 | 0 | 0.010905 | 0.216468 | 3,862 | 113 | 109 | 34.176991 | 0.778586 | 0.046608 | 0 | 0.072917 | 0 | 0 | 0.391293 | 0.011973 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020833 | false | 0 | 0.09375 | 0 | 0.135417 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd3b1d81b7abc114bb78bcdb8316981a6a5efeb1 | 2,050 | py | Python | cv_utils/object_detection/dataset/utils.py | fadamsyah/cv_utils | 487fc65fe4a71f05dd03df31cde21d866968c0b4 | [
"MIT"
] | null | null | null | cv_utils/object_detection/dataset/utils.py | fadamsyah/cv_utils | 487fc65fe4a71f05dd03df31cde21d866968c0b4 | [
"MIT"
] | 1 | 2021-11-01T06:10:29.000Z | 2021-11-09T12:47:48.000Z | cv_utils/object_detection/dataset/utils.py | fadamsyah/cv_utils | 487fc65fe4a71f05dd03df31cde21d866968c0b4 | [
"MIT"
] | null | null | null | import json
import os
import shutil
from copy import deepcopy
from pathlib import Path
def create_and_overwrite_dir(path_dir):
# Create the directory
Path(path_dir).mkdir(parents=True, exist_ok=True)
# Overwrite the directory
for path in os.listdir(path_dir):
try: os.remove(os.path.join(p... | 25.308642 | 85 | 0.632683 | 248 | 2,050 | 5.068548 | 0.366935 | 0.038982 | 0.02148 | 0.022275 | 0.033413 | 0.033413 | 0 | 0 | 0 | 0 | 0 | 0.009365 | 0.270732 | 2,050 | 81 | 86 | 25.308642 | 0.831438 | 0.238049 | 0 | 0 | 0 | 0 | 0.07095 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.135135 | false | 0.027027 | 0.135135 | 0 | 0.324324 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd41d6fca25f541134f0afce1961c06f85b0df9b | 1,806 | py | Python | tests/fixtures.py | DNXLabs/ssm-loader | eae0257794126247584150eeb1b74ae05f4fcaf5 | [
"Apache-2.0"
] | null | null | null | tests/fixtures.py | DNXLabs/ssm-loader | eae0257794126247584150eeb1b74ae05f4fcaf5 | [
"Apache-2.0"
] | 2 | 2020-07-31T05:32:10.000Z | 2020-09-07T10:38:24.000Z | tests/fixtures.py | DNXLabs/ssm-loader | eae0257794126247584150eeb1b74ae05f4fcaf5 | [
"Apache-2.0"
] | null | null | null |
import pytest
import os
import json
import boto3
from click.testing import CliRunner
from moto import mock_ssm
@pytest.fixture
def runner():
return CliRunner()
@pytest.fixture(scope='function')
def aws_credentials():
"""Mocked AWS Credentials for moto."""
os.environ['AWS_ACCESS_KEY_ID'] = 'test'
os... | 22.860759 | 75 | 0.593577 | 203 | 1,806 | 5.103448 | 0.330049 | 0.087838 | 0.052124 | 0.050193 | 0.28861 | 0.188224 | 0.15251 | 0.098456 | 0.098456 | 0.098456 | 0 | 0.005303 | 0.269103 | 1,806 | 78 | 76 | 23.153846 | 0.779545 | 0.017719 | 0 | 0.311475 | 0 | 0 | 0.250141 | 0.058291 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114754 | false | 0 | 0.098361 | 0.032787 | 0.278689 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd42f92ac6de47d16f3dec018fcdc491713b5ba6 | 5,656 | py | Python | scripts/plotting/create_num_demos_plots.py | Learning-and-Intelligent-Systems/predicators | 0b2e71cacf86ba2bfdc1d9059c3a78016d0a4d7e | [
"MIT"
] | 24 | 2021-11-20T16:35:41.000Z | 2022-03-30T03:49:52.000Z | scripts/plotting/create_num_demos_plots.py | Learning-and-Intelligent-Systems/predicators | 0b2e71cacf86ba2bfdc1d9059c3a78016d0a4d7e | [
"MIT"
] | 214 | 2021-10-12T01:17:50.000Z | 2022-03-31T20:18:36.000Z | scripts/plotting/create_num_demos_plots.py | Learning-and-Intelligent-Systems/predicators | 0b2e71cacf86ba2bfdc1d9059c3a78016d0a4d7e | [
"MIT"
] | 1 | 2022-02-15T20:24:17.000Z | 2022-02-15T20:24:17.000Z | """Create plots for learning from varying numbers of demonstrations."""
import os
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
from predicators.scripts.analyze_results_directory import create_dataframes, \
get_df_for_entry
pd.options.mode.chained_assignment = None # default='warn'
# pl... | 37.456954 | 79 | 0.572313 | 708 | 5,656 | 4.303672 | 0.295198 | 0.059075 | 0.039383 | 0.078766 | 0.218904 | 0.218904 | 0.207745 | 0.207745 | 0.207745 | 0.207745 | 0 | 0.004938 | 0.283946 | 5,656 | 150 | 80 | 37.706667 | 0.747407 | 0.161068 | 0 | 0.097345 | 0 | 0 | 0.233665 | 0.025746 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00885 | false | 0 | 0.044248 | 0 | 0.053097 | 0.00885 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd43a1e72c9d194feac6f21f795a8c2f2065d1a1 | 85,638 | py | Python | pyaedt/modeler/stackup_3d.py | pyansys/pyaedt | c7b045fede6bc707fb20a8db7d5680c66d8263f6 | [
"MIT"
] | 38 | 2021-10-01T23:15:26.000Z | 2022-03-30T18:14:41.000Z | pyaedt/modeler/stackup_3d.py | pyansys/pyaedt | c7b045fede6bc707fb20a8db7d5680c66d8263f6 | [
"MIT"
] | 362 | 2021-09-30T17:11:55.000Z | 2022-03-31T13:36:20.000Z | pyaedt/modeler/stackup_3d.py | pyansys/pyaedt | c7b045fede6bc707fb20a8db7d5680c66d8263f6 | [
"MIT"
] | 15 | 2021-09-30T20:21:02.000Z | 2022-02-21T20:22:03.000Z | import os
from collections import OrderedDict
try:
import joblib
except ImportError:
pass
try:
import numpy as np
except ImportError:
pass
from pyaedt import constants
from pyaedt.generic.general_methods import generate_unique_name
from pyaedt.generic.general_methods import pyaedt_function_handler
fro... | 33.91604 | 119 | 0.574768 | 8,956 | 85,638 | 5.197298 | 0.058062 | 0.019851 | 0.023202 | 0.026941 | 0.638344 | 0.566438 | 0.513352 | 0.46843 | 0.441124 | 0.414248 | 0 | 0.010979 | 0.324646 | 85,638 | 2,524 | 120 | 33.929477 | 0.793831 | 0.222506 | 0 | 0.480932 | 0 | 0 | 0.055673 | 0.009202 | 0.000706 | 0 | 0 | 0.000396 | 0 | 1 | 0.088983 | false | 0.001412 | 0.008475 | 0.000706 | 0.184322 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd47557928bc51ca7d2e89e0a88949b5b7b0aaa5 | 1,511 | py | Python | data/train/python/bd47557928bc51ca7d2e89e0a88949b5b7b0aaa5urls.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/train/python/bd47557928bc51ca7d2e89e0a88949b5b7b0aaa5urls.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/train/python/bd47557928bc51ca7d2e89e0a88949b5b7b0aaa5urls.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | from django.conf.urls.defaults import *
urlpatterns = patterns('clwmail.admin.views',
(r'user/manage/page/(?P<page_num>\d{1,})/$' ,'usermanage'),
(r'user/manage/page/$' ,'usermanage'),
(r'user/add/$' ,'useradd'),
(r'user/... | 65.695652 | 77 | 0.420913 | 137 | 1,511 | 4.59854 | 0.328467 | 0.088889 | 0.165079 | 0.071429 | 0.379365 | 0.293651 | 0.293651 | 0 | 0 | 0 | 0 | 0.003012 | 0.340834 | 1,511 | 22 | 78 | 68.681818 | 0.629518 | 0 | 0 | 0 | 0 | 0 | 0.505625 | 0.309729 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.045455 | 0.045455 | 0 | 0.045455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd49a1d92154f5da9b36b624b1f7c5c860a48554 | 346 | py | Python | remove_duplicates_from_sorted_array.py | lutianming/leetcode | 848c7470ff5fd23608cc954be23732f60488ed8a | [
"MIT"
] | null | null | null | remove_duplicates_from_sorted_array.py | lutianming/leetcode | 848c7470ff5fd23608cc954be23732f60488ed8a | [
"MIT"
] | null | null | null | remove_duplicates_from_sorted_array.py | lutianming/leetcode | 848c7470ff5fd23608cc954be23732f60488ed8a | [
"MIT"
] | null | null | null | class Solution:
# @param a list of integers
# @return an integer
def removeDuplicates(self, A):
length = len(A)
if length <= 1:
return length
index = 1
for i in range(1, length):
if A[i] != A[i-1]:
A[index] = A[i]
index ... | 24.714286 | 34 | 0.459538 | 44 | 346 | 3.613636 | 0.5 | 0.037736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025773 | 0.439306 | 346 | 13 | 35 | 26.615385 | 0.793814 | 0.127168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 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 |
bd49d7f152ceeb7bc9bb00c813b8cb8af0d1c6dc | 3,704 | py | Python | visan/plot/datasetattributespanel.py | ercumentaksoy/visan | 57c9257d80622fc0ab03591db48cc2155bd12f1b | [
"MIT",
"BSD-3-Clause"
] | 7 | 2020-04-09T05:21:03.000Z | 2022-01-23T18:39:02.000Z | visan/plot/datasetattributespanel.py | ercumentaksoy/visan | 57c9257d80622fc0ab03591db48cc2155bd12f1b | [
"MIT",
"BSD-3-Clause"
] | 7 | 2020-01-05T19:19:20.000Z | 2020-05-27T09:41:49.000Z | visan/plot/datasetattributespanel.py | ercumentaksoy/visan | 57c9257d80622fc0ab03591db48cc2155bd12f1b | [
"MIT",
"BSD-3-Clause"
] | 4 | 2020-04-18T14:11:22.000Z | 2021-11-10T02:27:49.000Z | # Copyright (C) 2002-2021 S[&]T, The Netherlands.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of condi... | 38.583333 | 105 | 0.660907 | 450 | 3,704 | 5.382222 | 0.457778 | 0.07019 | 0.038398 | 0.018993 | 0.07597 | 0.056152 | 0.056152 | 0.056152 | 0.056152 | 0.056152 | 0 | 0.009605 | 0.269168 | 3,704 | 95 | 106 | 38.989474 | 0.885113 | 0.455994 | 0 | 0.301887 | 0 | 0 | 0.016145 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09434 | false | 0.037736 | 0.037736 | 0 | 0.226415 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd49f05f95bdcec75ece665e2dc35ecf557cf5b9 | 3,473 | py | Python | iscc_registry/observe.py | titusz/iscc-registry | def03f420e671ec470070bb09b6a78099f7827da | [
"MIT"
] | 3 | 2020-07-06T16:01:54.000Z | 2020-08-06T11:03:25.000Z | iscc_registry/observe.py | titusz/iscc-registry | def03f420e671ec470070bb09b6a78099f7827da | [
"MIT"
] | null | null | null | iscc_registry/observe.py | titusz/iscc-registry | def03f420e671ec470070bb09b6a78099f7827da | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Watching for registration events"""
import time
from dataclasses import dataclass, asdict
import iscc_registry
from loguru import logger as log
import iscc
from iscc_registry.conn import db_client
from iscc_registry.publish import get_live_contract
from iscc_registry import tools
from iscc_re... | 30.734513 | 104 | 0.657357 | 486 | 3,473 | 4.415638 | 0.244856 | 0.089469 | 0.029823 | 0.033551 | 0.419385 | 0.419385 | 0.397018 | 0.34576 | 0.34576 | 0.34576 | 0 | 0.004919 | 0.238986 | 3,473 | 112 | 105 | 31.008929 | 0.807037 | 0.043478 | 0 | 0.333333 | 0 | 0 | 0.131157 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.1 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd4c2d2d1aecd9d7ef7769f96a47de90c8225163 | 6,400 | py | Python | src/CNN_models/train_model.py | ChrisPedder/Medieval_Manuscripts | 40bfcf9c273385cfd8aa66e63b2fb80078fef33b | [
"MIT"
] | null | null | null | src/CNN_models/train_model.py | ChrisPedder/Medieval_Manuscripts | 40bfcf9c273385cfd8aa66e63b2fb80078fef33b | [
"MIT"
] | 5 | 2020-12-28T15:28:35.000Z | 2022-02-10T03:26:44.000Z | src/CNN_models/train_model.py | ChrisPedder/Medieval_Manuscripts | 40bfcf9c273385cfd8aa66e63b2fb80078fef33b | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 10 11:07:05 2018
@author: chrispedder
To train the model, run from the top-level dir as:
python3 -m src.CNN_models.train_model --args ...
"""
import numpy as np
import os
import argparse
import json
import tensorflow as tf
from abc import ABC, ... | 33.333333 | 85 | 0.621563 | 805 | 6,400 | 4.767702 | 0.28323 | 0.01407 | 0.035435 | 0.026055 | 0.159979 | 0.09432 | 0.01876 | 0 | 0 | 0 | 0 | 0.011164 | 0.272188 | 6,400 | 191 | 86 | 33.507853 | 0.812795 | 0.11125 | 0 | 0.188406 | 0 | 0 | 0.098288 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.123188 | false | 0.043478 | 0.065217 | 0 | 0.268116 | 0.007246 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd4e4bb56c05d5afc00c0ccb424743f1c99a0f0b | 8,063 | py | Python | pfb_exporter/transform/sqla.py | znatty22/pfb-edu | 24e606895c192b92493c0808d00a10fdf6f5ffa4 | [
"Apache-2.0"
] | null | null | null | pfb_exporter/transform/sqla.py | znatty22/pfb-edu | 24e606895c192b92493c0808d00a10fdf6f5ffa4 | [
"Apache-2.0"
] | null | null | null | pfb_exporter/transform/sqla.py | znatty22/pfb-edu | 24e606895c192b92493c0808d00a10fdf6f5ffa4 | [
"Apache-2.0"
] | null | null | null | """
Transform SQLAlchemy Models to PFB Schema
"""
import os
import logging
import inspect
import subprocess
from collections import defaultdict
import timeit
from pprint import pformat
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.inspection import inspect as sqla_inspect
from sqlalchemy.orm.properti... | 34.60515 | 79 | 0.583902 | 902 | 8,063 | 5.037694 | 0.268293 | 0.043134 | 0.039613 | 0.011444 | 0.087808 | 0.029049 | 0 | 0 | 0 | 0 | 0 | 0.001493 | 0.335607 | 8,063 | 232 | 80 | 34.75431 | 0.846369 | 0.219273 | 0 | 0.058824 | 0 | 0 | 0.1556 | 0.027459 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044118 | false | 0.007353 | 0.176471 | 0 | 0.25 | 0.007353 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bd55c1befc97ceb37b6df37eb99994c9d21b2ba9 | 773 | py | Python | python/206.reverse-linked-list.py | Wanger-SJTU/leetcode-solutions | eb7f2fb142b8a30d987c5ac8002a96ead0aa56f4 | [
"MIT"
] | 2 | 2019-05-13T17:09:15.000Z | 2019-09-08T15:32:42.000Z | python/206.reverse-linked-list.py | Wanger-SJTU/leetcode | eb7f2fb142b8a30d987c5ac8002a96ead0aa56f4 | [
"MIT"
] | null | null | null | python/206.reverse-linked-list.py | Wanger-SJTU/leetcode | eb7f2fb142b8a30d987c5ac8002a96ead0aa56f4 | [
"MIT"
] | null | null | null | #
# @lc app=leetcode id=206 lang=python3
#
# [206] Reverse Linked List
#
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
def reverseList(self, head: ListNode) -> ListNode:
def iterative(head):
... | 23.424242 | 54 | 0.500647 | 85 | 773 | 4.505882 | 0.423529 | 0.083551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015521 | 0.416559 | 773 | 32 | 55 | 24.15625 | 0.833703 | 0.240621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1f9c7aa01ba17d2af64bca27a27081040ab187d0 | 2,521 | py | Python | tests/default_tags.py | GrAndSE/lighty-template | 63834fbb2421506205745bb596ff8ac726361f2a | [
"BSD-3-Clause"
] | 1 | 2018-05-09T19:56:15.000Z | 2018-05-09T19:56:15.000Z | tests/default_tags.py | GrAndSE/lighty-template | 63834fbb2421506205745bb596ff8ac726361f2a | [
"BSD-3-Clause"
] | null | null | null | tests/default_tags.py | GrAndSE/lighty-template | 63834fbb2421506205745bb596ff8ac726361f2a | [
"BSD-3-Clause"
] | null | null | null | '''Module to test default template tags such as if, for, with, include, etc.
'''
import unittest
from lighty.templates import Template
from lighty.templates.loaders import FSLoader
class DefaultTagsTestCase(unittest.TestCase):
"""Test case for if template tag
"""
def assertResult(self, name, result, val... | 36.536232 | 79 | 0.568029 | 249 | 2,521 | 5.751004 | 0.313253 | 0.100559 | 0.066341 | 0.094274 | 0.159218 | 0.111732 | 0 | 0 | 0 | 0 | 0 | 0.006572 | 0.275684 | 2,521 | 68 | 80 | 37.073529 | 0.777656 | 0.09044 | 0 | 0.083333 | 0 | 0 | 0.238032 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.145833 | false | 0 | 0.0625 | 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 |
1f9c9104d3d243f4e10cfdbb1fb0326c74424885 | 3,038 | py | Python | tests/test_calibration.py | SoyGema/NannyML | 323ff404e0e06c479b01d2a63c1c3af9680d95ab | [
"Apache-2.0"
] | null | null | null | tests/test_calibration.py | SoyGema/NannyML | 323ff404e0e06c479b01d2a63c1c3af9680d95ab | [
"Apache-2.0"
] | null | null | null | tests/test_calibration.py | SoyGema/NannyML | 323ff404e0e06c479b01d2a63c1c3af9680d95ab | [
"Apache-2.0"
] | null | null | null | # Author: Niels Nuyttens <niels@nannyml.com>
#
# License: Apache Software License 2.0
"""Unit tests for the calibration module."""
import numpy as np
import pandas as pd
import pytest
from nannyml.calibration import IsotonicCalibrator, _get_bin_index_edges, needs_calibration
from nannyml.exceptions import Invali... | 41.616438 | 104 | 0.71264 | 480 | 3,038 | 4.18125 | 0.208333 | 0.036871 | 0.043348 | 0.041854 | 0.63727 | 0.540608 | 0.537618 | 0.510214 | 0.510214 | 0.502242 | 0 | 0.056559 | 0.161949 | 3,038 | 72 | 105 | 42.194444 | 0.731736 | 0.066162 | 0 | 0.27451 | 0 | 0 | 0.039688 | 0.017718 | 0 | 0 | 0 | 0 | 0.098039 | 1 | 0.137255 | false | 0 | 0.098039 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1f9d448358740aaa0c055882926c57c97ff59db8 | 3,962 | py | Python | code/utils.py | liudaizong/IA-Net | f19295d13d1468eb582521131cde3de83dfd18f6 | [
"MIT"
] | 4 | 2021-11-02T10:57:12.000Z | 2022-02-13T17:53:03.000Z | code/utils.py | liudaizong/IA-Net | f19295d13d1468eb582521131cde3de83dfd18f6 | [
"MIT"
] | null | null | null | code/utils.py | liudaizong/IA-Net | f19295d13d1468eb582521131cde3de83dfd18f6 | [
"MIT"
] | null | null | null | import copy
import nltk
import json
from gensim.models import KeyedVectors
import h5py
import numpy as np
from torch import nn
def clones(module, N):
return nn.ModuleList([copy.deepcopy(module) for _ in range(N)])
def load_feature(filename, dataset='ActivityNet'):
if dataset == 'ActivityNet':
with ... | 25.397436 | 73 | 0.579253 | 537 | 3,962 | 4.212291 | 0.22905 | 0.024757 | 0.026525 | 0.04244 | 0.443413 | 0.385942 | 0.342175 | 0.320955 | 0.320955 | 0.280283 | 0 | 0.047805 | 0.287229 | 3,962 | 155 | 74 | 25.56129 | 0.753187 | 0.069409 | 0 | 0.477876 | 0 | 0 | 0.029203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.19469 | false | 0 | 0.070796 | 0.035398 | 0.424779 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1f9e4501c0a3ac77cc15f6de9e5e460d7fd997df | 2,654 | py | Python | aps_purchasing/tests/forms_tests.py | bitmazk/django-aps-purchasing | ff0316f0eaff5bd39ae40aaa861543d125f33dae | [
"MIT"
] | 4 | 2015-05-18T13:51:16.000Z | 2015-05-18T14:47:32.000Z | aps_purchasing/tests/forms_tests.py | bitmazk/django-aps-purchasing | ff0316f0eaff5bd39ae40aaa861543d125f33dae | [
"MIT"
] | null | null | null | aps_purchasing/tests/forms_tests.py | bitmazk/django-aps-purchasing | ff0316f0eaff5bd39ae40aaa861543d125f33dae | [
"MIT"
] | null | null | null | """Tests for the forms of the ``aps_purchasing`` app."""
import os
from django.conf import settings
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import TestCase
from django.utils.timezone import now
from ..forms import QuotationUploadForm
from ..models import MPN, Price, Quotation, Q... | 37.380282 | 79 | 0.629239 | 297 | 2,654 | 5.572391 | 0.3367 | 0.032628 | 0.065257 | 0.074924 | 0.371601 | 0.299698 | 0.279758 | 0.178248 | 0.178248 | 0.10997 | 0 | 0.004063 | 0.258101 | 2,654 | 70 | 80 | 37.914286 | 0.836465 | 0.037302 | 0 | 0.125 | 0 | 0 | 0.230346 | 0.009827 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.035714 | false | 0 | 0.142857 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1f9eb8e2438d5e8851abb15909ddab5b70595c79 | 1,839 | py | Python | test/test_read_embark_fields_json_file.py | ndlib/mellon-search | 30f7eb267e35d77ee6d126789866d44d825c3e0c | [
"Apache-2.0"
] | null | null | null | test/test_read_embark_fields_json_file.py | ndlib/mellon-search | 30f7eb267e35d77ee6d126789866d44d825c3e0c | [
"Apache-2.0"
] | null | null | null | test/test_read_embark_fields_json_file.py | ndlib/mellon-search | 30f7eb267e35d77ee6d126789866d44d825c3e0c | [
"Apache-2.0"
] | null | null | null | # test_read_embark_fields_json_file.py 2/18/19 sm
""" test read_embark_fields_json_file.py """
import json
import unittest
# add parent directory to path
import os
import inspect
import sys
CURRENTDIR = os.path.dirname(os.path.abspath(inspect.getfile(
inspect.currentframe())))
PARENTDIR = os.path.dirname(CURRENTD... | 32.839286 | 74 | 0.694943 | 213 | 1,839 | 5.676056 | 0.352113 | 0.074442 | 0.119107 | 0.148883 | 0.3689 | 0.249793 | 0.226634 | 0.177006 | 0.177006 | 0.132341 | 0 | 0.004152 | 0.214247 | 1,839 | 55 | 75 | 33.436364 | 0.832526 | 0.169657 | 0 | 0 | 0 | 0 | 0.07822 | 0.072151 | 0 | 0 | 0 | 0 | 0.121212 | 1 | 0.151515 | false | 0 | 0.181818 | 0 | 0.393939 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fa0d3c9b6fdeba10b20b2a6b065d708f3d43858 | 8,928 | py | Python | menu/show_results.py | Jcollier722/PageRemoval | ec14cd3927bbb754883a6a3dcff312ba90cd45db | [
"Apache-2.0"
] | null | null | null | menu/show_results.py | Jcollier722/PageRemoval | ec14cd3927bbb754883a6a3dcff312ba90cd45db | [
"Apache-2.0"
] | null | null | null | menu/show_results.py | Jcollier722/PageRemoval | ec14cd3927bbb754883a6a3dcff312ba90cd45db | [
"Apache-2.0"
] | null | null | null | """This file is the results window"""
import sys
sys.path.insert(0, 'menu/')
sys.path.insert(1, 'util/')
sys.path.insert(2, 'sim/')
import tkinter as tk
import menu
import import_jobs as ij
import validate_jobs as validate
import show_results as sr
import export_results as xr
import compare_sim
import con... | 46.020619 | 172 | 0.635529 | 1,451 | 8,928 | 3.742247 | 0.121985 | 0.055985 | 0.034807 | 0.070718 | 0.725599 | 0.678269 | 0.646777 | 0.641252 | 0.635175 | 0.591529 | 0 | 0.044128 | 0.197917 | 8,928 | 193 | 173 | 46.259067 | 0.714146 | 0.073029 | 0 | 0.360902 | 0 | 0 | 0.100979 | 0 | 0.015038 | 0 | 0 | 0 | 0 | 1 | 0.007519 | false | 0 | 0.097744 | 0 | 0.112782 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fa40e3d5ffd5031f4b30a989255c4474dd77b5f | 9,440 | py | Python | POP909-Dataset-master/data_process/processor.py | agurdins/RTU_Bachelor | 28ed4bf90a8ffdb2b599e549bae5f2b12a795ff1 | [
"Apache-2.0"
] | 140 | 2020-08-06T12:15:56.000Z | 2022-03-26T11:02:36.000Z | POP909-Dataset-master/data_process/processor.py | agurdins/RTU_Bachelor | 28ed4bf90a8ffdb2b599e549bae5f2b12a795ff1 | [
"Apache-2.0"
] | 5 | 2020-08-18T08:29:46.000Z | 2021-09-25T16:56:49.000Z | POP909-Dataset-master/data_process/processor.py | agurdins/RTU_Bachelor | 28ed4bf90a8ffdb2b599e549bae5f2b12a795ff1 | [
"Apache-2.0"
] | 18 | 2020-09-21T07:13:44.000Z | 2022-03-19T14:30:09.000Z | """
Representation Processor
============
These are core classes of representation processor.
Repr Processor: the basic representation processor
- Event Processor
"""
import numpy as np
from abc import ABC, abstractmethod
import pretty_midi as pyd
class ReprProcessor(ABC):
"""Abstract base class severing as... | 30.550162 | 126 | 0.500953 | 1,033 | 9,440 | 4.408519 | 0.181026 | 0.036891 | 0.046113 | 0.019763 | 0.410408 | 0.347826 | 0.197189 | 0.157664 | 0.113746 | 0.113746 | 0 | 0.024527 | 0.395339 | 9,440 | 308 | 127 | 30.649351 | 0.773301 | 0.310699 | 0 | 0.301205 | 0 | 0 | 0.073663 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048193 | false | 0 | 0.018072 | 0 | 0.114458 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fa5b81e8ddb69f6e5c8f48345327239689cae22 | 19,461 | py | Python | xtb_trading.py | lemassykoi/XTBApi | 3b159f0b711e0d445a9cd7fec5c7a499cc623140 | [
"MIT"
] | null | null | null | xtb_trading.py | lemassykoi/XTBApi | 3b159f0b711e0d445a9cd7fec5c7a499cc623140 | [
"MIT"
] | null | null | null | xtb_trading.py | lemassykoi/XTBApi | 3b159f0b711e0d445a9cd7fec5c7a499cc623140 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# adaptation du script FXCM pour XTB
##
debug = 1 ## DEBUG ENABLED OR DISABLED
from XTBApi.api import *
import time
import pandas as pd
import datetime as dt
import talib.abstract as ta
## Maths modules
import pyti.bollinger_bands as bb
from pyti.relative_strength_index import rela... | 40.459459 | 152 | 0.590874 | 2,250 | 19,461 | 5.027556 | 0.188 | 0.019095 | 0.030057 | 0.020156 | 0.475248 | 0.450583 | 0.378448 | 0.322843 | 0.282443 | 0.262995 | 0 | 0.029211 | 0.277016 | 19,461 | 480 | 153 | 40.54375 | 0.774769 | 0.221314 | 0 | 0.380682 | 0 | 0 | 0.156666 | 0.028805 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065341 | false | 0.005682 | 0.048295 | 0 | 0.213068 | 0.085227 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fa915f1d01ae50c5c5d775a6b404ccefbb0a1db | 23,609 | py | Python | datanode/src/storage_interface.py | airmap/InterUSS-Platform | fa19af360826b4dd7b841013c0c569a4f282919d | [
"Apache-2.0"
] | null | null | null | datanode/src/storage_interface.py | airmap/InterUSS-Platform | fa19af360826b4dd7b841013c0c569a4f282919d | [
"Apache-2.0"
] | 1 | 2021-03-26T12:13:17.000Z | 2021-03-26T12:13:17.000Z | datanode/src/storage_interface.py | isabella232/InterUSS-Platform | fa19af360826b4dd7b841013c0c569a4f282919d | [
"Apache-2.0"
] | 2 | 2019-08-11T20:20:32.000Z | 2021-03-26T12:01:43.000Z | """The InterUSS Platform Data Node storage API server.
This flexible and distributed system is used to connect multiple USSs operating
in the same general area to share safety information while protecting the
privacy of USSs, businesses, operator and consumers. The system is focused on
facilitating communication among... | 38.264182 | 80 | 0.656275 | 3,170 | 23,609 | 4.782019 | 0.162461 | 0.004222 | 0.00475 | 0.023748 | 0.509466 | 0.488687 | 0.465004 | 0.432153 | 0.399565 | 0.377663 | 0 | 0.008301 | 0.25503 | 23,609 | 616 | 81 | 38.326299 | 0.853593 | 0.400017 | 0 | 0.491228 | 0 | 0 | 0.168211 | 0.004746 | 0 | 0 | 0 | 0.00487 | 0 | 1 | 0.05848 | false | 0 | 0.032164 | 0.002924 | 0.134503 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fb15d8fc5f2340ec039cd29cb846d5d8253d9c0 | 9,501 | py | Python | scormxblock/scormxblock.py | Pearson-Advance/edx_xblock_scorm | eff4f18963424ac090662e03040dc8f003770cd3 | [
"Apache-2.0"
] | null | null | null | scormxblock/scormxblock.py | Pearson-Advance/edx_xblock_scorm | eff4f18963424ac090662e03040dc8f003770cd3 | [
"Apache-2.0"
] | 1 | 2020-10-27T20:04:30.000Z | 2020-10-27T20:04:30.000Z | scormxblock/scormxblock.py | Pearson-Advance/edx_xblock_scorm | eff4f18963424ac090662e03040dc8f003770cd3 | [
"Apache-2.0"
] | null | null | null | import json
import re
import os
import pkg_resources
import zipfile
import shutil
import xml.etree.ElementTree as ET
from django.conf import settings
from django.template import Context, Template
from webob import Response
from xblock.core import XBlock
from xblock.fields import Scope, String, Float, Boolean, Dict
fr... | 35.059041 | 131 | 0.592674 | 1,064 | 9,501 | 5.080827 | 0.193609 | 0.020718 | 0.017758 | 0.021088 | 0.303367 | 0.252312 | 0.181095 | 0.167037 | 0.155198 | 0.104514 | 0 | 0.00533 | 0.289127 | 9,501 | 270 | 132 | 35.188889 | 0.795084 | 0.022313 | 0 | 0.242291 | 0 | 0 | 0.151611 | 0.044347 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066079 | false | 0.008811 | 0.057269 | 0.004405 | 0.259912 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fb35315892b484eea92d588c1ea5a815edbedc1 | 4,861 | py | Python | src/core/modules/stt.py | pyVoice/pyVoice | 62e42a5c6307df2dd2d74bcd20ca64fd81c58851 | [
"MIT"
] | 1 | 2020-12-12T12:06:12.000Z | 2020-12-12T12:06:12.000Z | src/core/modules/stt.py | pyVoice/pyVoice | 62e42a5c6307df2dd2d74bcd20ca64fd81c58851 | [
"MIT"
] | 24 | 2021-02-08T19:44:44.000Z | 2021-04-10T11:54:53.000Z | src/core/modules/stt.py | pyVoice/pyVoice | 62e42a5c6307df2dd2d74bcd20ca64fd81c58851 | [
"MIT"
] | null | null | null | """
**Speech to Text (STT) engine**
Converts the user speech (audio) into text.
"""
import threading
import traceback
import speech_recognition as sr
from src import settings
from src.core.modules import log, tts, replying
def setup() -> None:
"""
Initializes the STT engine
Steps:
1. Creates a... | 27.619318 | 102 | 0.632174 | 610 | 4,861 | 4.944262 | 0.254098 | 0.029178 | 0.009947 | 0.013926 | 0.331233 | 0.31996 | 0.265252 | 0.202255 | 0.202255 | 0.202255 | 0 | 0.005376 | 0.272989 | 4,861 | 175 | 103 | 27.777143 | 0.848048 | 0.307138 | 0 | 0.37037 | 0 | 0 | 0.151295 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.061728 | 0 | 0.197531 | 0.024691 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fb73cc1aa55107790f427e4e1e4f03476a6ace6 | 1,493 | py | Python | packages/w3af/w3af/core/controllers/profiling/scan_log_analysis/data/errors.py | ZooAtmosphereGroup/HelloPackages | 0ccffd33bf927b13d28c8f715ed35004c33465d9 | [
"Apache-2.0"
] | null | null | null | packages/w3af/w3af/core/controllers/profiling/scan_log_analysis/data/errors.py | ZooAtmosphereGroup/HelloPackages | 0ccffd33bf927b13d28c8f715ed35004c33465d9 | [
"Apache-2.0"
] | null | null | null | packages/w3af/w3af/core/controllers/profiling/scan_log_analysis/data/errors.py | ZooAtmosphereGroup/HelloPackages | 0ccffd33bf927b13d28c8f715ed35004c33465d9 | [
"Apache-2.0"
] | null | null | null | import re
from utils.output import KeyValueOutput
ERRORS_RE = [re.compile('Unhandled exception "(.*?)"'),
re.compile('traceback', re.IGNORECASE),
re.compile('w3af-crash'),
re.compile('scan was able to continue by ignoring those'),
re.compile('The scan will stop')]
... | 25.305085 | 95 | 0.592096 | 184 | 1,493 | 4.744565 | 0.440217 | 0.051546 | 0.041237 | 0.052692 | 0.066438 | 0.066438 | 0 | 0 | 0 | 0 | 0 | 0.004888 | 0.314802 | 1,493 | 58 | 96 | 25.741379 | 0.848485 | 0.148694 | 0 | 0.294118 | 0 | 0 | 0.172332 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.205882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fb8c0338db15cdfd4d8333778bf52ca725b2f55 | 5,925 | py | Python | __main__.py | Naruto0/fplyst | af5c30a5bbd91ace21c3c5305c8e202ba016ba09 | [
"MIT"
] | null | null | null | __main__.py | Naruto0/fplyst | af5c30a5bbd91ace21c3c5305c8e202ba016ba09 | [
"MIT"
] | 3 | 2021-03-22T17:12:14.000Z | 2021-12-13T19:39:39.000Z | __main__.py | Naruto0/fplyst | af5c30a5bbd91ace21c3c5305c8e202ba016ba09 | [
"MIT"
] | null | null | null | #! /usr/bin/python3
#
# Usage:
#
# path/to/script$ python3 __main__.py -c <config_file>
#
# Will create 'YYYY_MM_DD_STREAMNAME_PLAYLIST.txt' file
# which will contain currently captured song
#
# HH:MM Interpret - Song Name
#
# To capture whole playlist you have to
# make crontab scheldule or widows/mac equivalen... | 25.320513 | 89 | 0.606076 | 771 | 5,925 | 4.485084 | 0.324254 | 0.020243 | 0.011567 | 0.010989 | 0.081839 | 0.052632 | 0.039329 | 0.024292 | 0.024292 | 0.024292 | 0 | 0.008121 | 0.272574 | 5,925 | 233 | 90 | 25.429185 | 0.7942 | 0.244388 | 0 | 0.2 | 0 | 0 | 0.116886 | 0.004766 | 0 | 0 | 0 | 0.004292 | 0 | 1 | 0.071429 | false | 0.007143 | 0.071429 | 0 | 0.192857 | 0.064286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fbb637cd9392b8a2ffe427325fa61c758a9f423 | 14,341 | py | Python | 1_ps4/ps4b.py | gyalpodongo/6.0001_psets | b2e12d572d3382921a073e6712a337f98ade7c4a | [
"MIT"
] | null | null | null | 1_ps4/ps4b.py | gyalpodongo/6.0001_psets | b2e12d572d3382921a073e6712a337f98ade7c4a | [
"MIT"
] | null | null | null | 1_ps4/ps4b.py | gyalpodongo/6.0001_psets | b2e12d572d3382921a073e6712a337f98ade7c4a | [
"MIT"
] | null | null | null | # Problem Set 4B
# Name: Gyalpo Dongo
# Collaborators:
# Time Spent: 9:00
# Late Days Used: 1
import string
### HELPER CODE ###
def load_words(file_name):
'''
file_name (string): the name of the file containing
the list of words to load
Returns: a list of valid words. Words are strings ... | 36.214646 | 98 | 0.619064 | 1,834 | 14,341 | 4.690294 | 0.173391 | 0.037201 | 0.019182 | 0.009765 | 0.296908 | 0.255754 | 0.208207 | 0.185189 | 0.13927 | 0.104394 | 0 | 0.010245 | 0.305767 | 14,341 | 395 | 99 | 36.306329 | 0.853757 | 0.484206 | 0 | 0.192857 | 0 | 0 | 0.053052 | 0.004989 | 0 | 0 | 0 | 0.002532 | 0 | 1 | 0.135714 | false | 0 | 0.014286 | 0 | 0.271429 | 0.085714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fbe01d48c418a25dac0b1a8cdfdd4ff5a631b60 | 13,996 | py | Python | tests/integration/cartography/intel/gcp/test_compute.py | sckevmit/cartography | fefb63b5ec97986dcc29038331d0e5b027b95d5f | [
"Apache-2.0"
] | 2,322 | 2019-03-02T01:07:20.000Z | 2022-03-31T20:39:12.000Z | tests/integration/cartography/intel/gcp/test_compute.py | sckevmit/cartography | fefb63b5ec97986dcc29038331d0e5b027b95d5f | [
"Apache-2.0"
] | 462 | 2019-03-07T18:38:11.000Z | 2022-03-31T14:55:20.000Z | tests/integration/cartography/intel/gcp/test_compute.py | sckevmit/cartography | fefb63b5ec97986dcc29038331d0e5b027b95d5f | [
"Apache-2.0"
] | 246 | 2019-03-03T02:39:23.000Z | 2022-02-24T09:46:38.000Z | import cartography.intel.gcp.compute
import tests.data.gcp.compute
TEST_UPDATE_TAG = 123456789
def _ensure_local_neo4j_has_test_instance_data(neo4j_session):
cartography.intel.gcp.compute.load_gcp_instances(
neo4j_session,
tests.data.gcp.compute.TRANSFORMED_GCP_INSTANCES,
TEST_UPDATE_TAG... | 32.85446 | 118 | 0.627894 | 1,720 | 13,996 | 4.84593 | 0.112791 | 0.063347 | 0.077744 | 0.05183 | 0.716857 | 0.673905 | 0.620156 | 0.55189 | 0.475465 | 0.384763 | 0 | 0.026151 | 0.248642 | 13,996 | 425 | 119 | 32.931765 | 0.766451 | 0.034867 | 0 | 0.490141 | 0 | 0.042254 | 0.378952 | 0.2628 | 0 | 0 | 0 | 0 | 0.028169 | 1 | 0.039437 | false | 0 | 0.005634 | 0 | 0.053521 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fc21aa494251b943ab4e4b535ca093a791a6af8 | 6,208 | py | Python | gae/backend/services/slack/slack.py | jlapenna/bikebuds | 6e2b54fa2e4fa03e5ff250ca779c269ccc49a2d8 | [
"Apache-2.0"
] | 9 | 2018-11-17T00:53:47.000Z | 2021-03-16T05:18:01.000Z | gae/backend/services/slack/slack.py | jlapenna/bikebuds | 6e2b54fa2e4fa03e5ff250ca779c269ccc49a2d8 | [
"Apache-2.0"
] | 8 | 2018-11-28T17:19:07.000Z | 2022-02-26T17:46:09.000Z | gae/backend/services/slack/slack.py | jlapenna/bikebuds | 6e2b54fa2e4fa03e5ff250ca779c269ccc49a2d8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 32.846561 | 92 | 0.704897 | 789 | 6,208 | 5.301648 | 0.235741 | 0.017213 | 0.02032 | 0.027731 | 0.282333 | 0.219938 | 0.190294 | 0.160172 | 0.123835 | 0.105188 | 0 | 0.006578 | 0.191849 | 6,208 | 188 | 93 | 33.021277 | 0.827188 | 0.088273 | 0 | 0.20979 | 0 | 0 | 0.137088 | 0.011513 | 0 | 0 | 0 | 0 | 0 | 1 | 0.062937 | false | 0 | 0.132867 | 0 | 0.342657 | 0.006993 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fc244ac9c29079630ffd294e5609b1a6c46e1ff | 3,895 | py | Python | ooobuild/lo/drawing/framework/tab_bar_button.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/drawing/framework/tab_bar_button.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/drawing/framework/tab_bar_button.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http: // www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 33.869565 | 166 | 0.668293 | 478 | 3,895 | 5.303347 | 0.382845 | 0.023669 | 0.019724 | 0.033531 | 0.11716 | 0.091124 | 0.076134 | 0.030769 | 0 | 0 | 0 | 0.013979 | 0.246983 | 3,895 | 114 | 167 | 34.166667 | 0.850324 | 0.44647 | 0 | 0.066667 | 0 | 0 | 0.102839 | 0.062132 | 0 | 0 | 0 | 0 | 0 | 1 | 0.177778 | false | 0 | 0.066667 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fc41c98a94f4ecb65c5c9b1a3aac7dc614e2662 | 5,087 | py | Python | shared/tools/snapshot/utils.py | DougMahoney/metatools | 112340102962ff0c3e323564357cc4e848939cf7 | [
"Apache-2.0"
] | 12 | 2020-04-10T07:09:24.000Z | 2022-03-04T09:22:40.000Z | shared/tools/snapshot/utils.py | DougMahoney/metatools | 112340102962ff0c3e323564357cc4e848939cf7 | [
"Apache-2.0"
] | 5 | 2020-05-16T18:22:23.000Z | 2022-03-29T13:19:27.000Z | shared/tools/snapshot/utils.py | DougMahoney/metatools | 112340102962ff0c3e323564357cc4e848939cf7 | [
"Apache-2.0"
] | 2 | 2020-12-10T15:17:40.000Z | 2021-12-02T17:34:56.000Z | """
Extraction utilities and supporting functions
Some operations are used frequently or repeated enough to be factored out.
Note that SQL can be used via the POORSQL_BINARY_PATH
Download the binary from http://architectshack.com/PoorMansTSqlFormatter.ashx
It's a phenominal utility that brilliantly normaliz... | 25.691919 | 94 | 0.716139 | 692 | 5,087 | 5.231214 | 0.403179 | 0.017956 | 0.014088 | 0.018785 | 0.01105 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00553 | 0.182426 | 5,087 | 198 | 95 | 25.691919 | 0.864871 | 0.275015 | 0 | 0.216667 | 0 | 0 | 0.049559 | 0.009086 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.016667 | 0.05 | 0.016667 | 0.291667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fc8f64a1c48e617dc27ddaba536434b9f8ea44b | 4,915 | py | Python | Configuration/GlobalRuns/python/reco_TLR_311X.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | Configuration/GlobalRuns/python/reco_TLR_311X.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | Configuration/GlobalRuns/python/reco_TLR_311X.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
def customiseCommon(process):
#####################################################################################################
####
#### Top level replaces for handling strange scenarios of early collisions
####
## TRACKING:
process.newSeedFr... | 36.407407 | 107 | 0.545677 | 321 | 4,915 | 8.333333 | 0.376947 | 0.053458 | 0.059813 | 0.065421 | 0.437383 | 0.419813 | 0.379439 | 0.279252 | 0.248598 | 0.248598 | 0 | 0.017907 | 0.125127 | 4,915 | 134 | 108 | 36.679104 | 0.604186 | 0.086063 | 0 | 0.403509 | 0 | 0 | 0.010971 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192982 | false | 0 | 0.070175 | 0.035088 | 0.45614 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fcc73246e5b2e2deb6ef1a5498a653dfdea012b | 3,094 | py | Python | pynm/feature/extract/nmf.py | ohtaman/pynm | b003962201e4270d0dab681ede37f2d8edd560f2 | [
"MIT"
] | 1 | 2018-08-16T20:48:52.000Z | 2018-08-16T20:48:52.000Z | pynm/feature/extract/nmf.py | ohtaman/pynm | b003962201e4270d0dab681ede37f2d8edd560f2 | [
"MIT"
] | 5 | 2015-01-12T20:40:46.000Z | 2017-11-17T01:27:41.000Z | pynm/feature/extract/nmf.py | ohtaman/pynm | b003962201e4270d0dab681ede37f2d8edd560f2 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
import numpy
import numpy.random
import numpy.linalg
from . import svd
def svd_init(matrix, dim, seed=None):
u, s, v = svd.svd(matrix, dim)
ss = numpy.sqrt(numpy.diag(s))
return numpy.maximum(0.001, u.dot(ss)), numpy.maximum(0.001, ss.dot(v))
def random_init(matrix, dim, seed=Non... | 29.75 | 94 | 0.597931 | 448 | 3,094 | 4.042411 | 0.241071 | 0.012148 | 0.019326 | 0.019879 | 0.24296 | 0.201546 | 0.153506 | 0.073992 | 0.032027 | 0 | 0 | 0.023612 | 0.260827 | 3,094 | 103 | 95 | 30.038835 | 0.768255 | 0.19554 | 0 | 0.188406 | 0 | 0 | 0.007407 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.057971 | 0 | 0.231884 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fccf8df9831cb035ab2861081b74267181cefc9 | 6,052 | py | Python | examples/demo_livepeer.py | scout-cool/Bubbletea | f0312d6f1c7fde4098d500e811f0503796973d07 | [
"Apache-2.0"
] | 10 | 2021-08-29T14:58:09.000Z | 2022-02-07T21:03:07.000Z | examples/demo_livepeer.py | scout-cool/Bubbletea | f0312d6f1c7fde4098d500e811f0503796973d07 | [
"Apache-2.0"
] | null | null | null | examples/demo_livepeer.py | scout-cool/Bubbletea | f0312d6f1c7fde4098d500e811f0503796973d07 | [
"Apache-2.0"
] | null | null | null | import datetime
import datetime
from altair.vegalite.v4.schema.core import Legend
import pandas
from pandas.core.frame import DataFrame
import streamlit as st
import time
import bubbletea
st.header("LIVEPEER Stake Movement")
urlvars = bubbletea.parse_url_var([{'key':'startdate','type':'datetime'}, {'key':'enddate','t... | 28.682464 | 117 | 0.594019 | 676 | 6,052 | 5.131657 | 0.236686 | 0.039204 | 0.027674 | 0.044393 | 0.400404 | 0.346786 | 0.201787 | 0.182762 | 0.158547 | 0.158547 | 0 | 0.00811 | 0.266523 | 6,052 | 210 | 118 | 28.819048 | 0.773372 | 0.008262 | 0 | 0.331522 | 0 | 0 | 0.229 | 0.016667 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005435 | false | 0.016304 | 0.043478 | 0 | 0.054348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fd17f1089fdee8a486a2a65c3fb934cc9195151 | 1,072 | py | Python | sml_iris_knn_dtc.py | drishtim17/supervisedML | 3981d283a9937bfce793237c171fa95764846558 | [
"Apache-2.0"
] | null | null | null | sml_iris_knn_dtc.py | drishtim17/supervisedML | 3981d283a9937bfce793237c171fa95764846558 | [
"Apache-2.0"
] | null | null | null | sml_iris_knn_dtc.py | drishtim17/supervisedML | 3981d283a9937bfce793237c171fa95764846558 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
import sklearn
from sklearn.datasets import load_iris
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
from sklearn import tree
from sklearn.metrics import accuracy_score
#loading iris
iris=load_iris()
#traning flowers.features is stored in i... | 24.363636 | 99 | 0.841418 | 152 | 1,072 | 5.769737 | 0.407895 | 0.062714 | 0.051311 | 0.031927 | 0.120867 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004065 | 0.08209 | 1,072 | 43 | 100 | 24.930233 | 0.887195 | 0.251866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0.238095 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fd3b3ac45b4ed570227a76c3f4f622771cac325 | 2,762 | py | Python | Python/Exercises/Humanize/humanize.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 115 | 2015-03-23T13:34:42.000Z | 2022-03-21T00:27:21.000Z | Python/Exercises/Humanize/humanize.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 56 | 2015-02-25T15:04:26.000Z | 2022-01-03T07:42:48.000Z | Python/Exercises/Humanize/humanize.py | Gjacquenot/training-material | 16b29962bf5683f97a1072d961dd9f31e7468b8d | [
"CC-BY-4.0"
] | 59 | 2015-11-26T11:44:51.000Z | 2022-03-21T00:27:22.000Z | #!/usr/bin/env python
def humanize(n, base=10, digits=1, unit=''):
'''convert a floating point number to a human-readable format
Parameters
----------
n : float or str
number to convert, it can a string representation of
a floating point number
base : int
base to use, eith... | 28.474227 | 77 | 0.513034 | 354 | 2,762 | 3.932203 | 0.330508 | 0.038793 | 0.034483 | 0.057471 | 0.119253 | 0.08908 | 0.08908 | 0.048851 | 0 | 0 | 0 | 0.051991 | 0.345402 | 2,762 | 96 | 78 | 28.770833 | 0.71792 | 0.272991 | 0 | 0.04 | 0 | 0 | 0.113137 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.06 | 0 | 0.16 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fd529b1fbfbcec29e94685aeef6fbda0d26c559 | 1,337 | py | Python | data/Latent.py | YoungjuNa-KR/Gaze_estimator_implementation | 95482db40ddef413870f51dadc907910d624ee6e | [
"MIT"
] | null | null | null | data/Latent.py | YoungjuNa-KR/Gaze_estimator_implementation | 95482db40ddef413870f51dadc907910d624ee6e | [
"MIT"
] | null | null | null | data/Latent.py | YoungjuNa-KR/Gaze_estimator_implementation | 95482db40ddef413870f51dadc907910d624ee6e | [
"MIT"
] | 1 | 2022-02-03T11:11:21.000Z | 2022-02-03T11:11:21.000Z | import os
import PIL
import torch
from glob import glob
from torch.utils.data import DataLoader
from torchvision.transforms.functional import pil_to_tensor
class Latent(torch.utils.data.Dataset):
def __init__(self, dir_name, transforms=None):
# dataset 디렉토리를 기반으로 parse.data_train, test에 따라서
# 각각 다... | 29.711111 | 68 | 0.604338 | 189 | 1,337 | 4.132275 | 0.460317 | 0.038412 | 0.042254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.293194 | 1,337 | 44 | 69 | 30.386364 | 0.826455 | 0.169783 | 0 | 0 | 0 | 0 | 0.036298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0.037037 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fd676c1868fb5496119162edb66de118a176730 | 876 | py | Python | scripts/mklanguages.py | yasen-m/dosage | 81fe088621ad335cac2a53fcbc7b9b37f49ddce2 | [
"MIT"
] | null | null | null | scripts/mklanguages.py | yasen-m/dosage | 81fe088621ad335cac2a53fcbc7b9b37f49ddce2 | [
"MIT"
] | null | null | null | scripts/mklanguages.py | yasen-m/dosage | 81fe088621ad335cac2a53fcbc7b9b37f49ddce2 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# update languages.py from pycountry
import os
import codecs
import pycountry
basepath = os.path.dirname(os.path.dirname(__file__))
def main():
"""Update language information in dosagelib/languages.py."""
fn =os.path.join(basepath, 'dosagelib', 'languages.py')
encoding = 'utf-8'
with... | 29.2 | 83 | 0.634703 | 115 | 876 | 4.713043 | 0.4 | 0.066421 | 0.055351 | 0.055351 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011396 | 0.19863 | 876 | 29 | 84 | 30.206897 | 0.760684 | 0.152968 | 0 | 0 | 0 | 0 | 0.191781 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.157895 | 0 | 0.263158 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fd6b807f6071d9b5d2c510c8209a51bbbc35084 | 531 | py | Python | reference/for_and_while.py | SeanSyue/TensorflowReferences | 2c93f4c770e2713ef4769f287e022d03e7097188 | [
"MIT"
] | null | null | null | reference/for_and_while.py | SeanSyue/TensorflowReferences | 2c93f4c770e2713ef4769f287e022d03e7097188 | [
"MIT"
] | null | null | null | reference/for_and_while.py | SeanSyue/TensorflowReferences | 2c93f4c770e2713ef4769f287e022d03e7097188 | [
"MIT"
] | null | null | null | import tensorflow as tf
x = tf.Variable(0, name='x')
model = tf.global_variables_initializer()
with tf.Session() as session:
for i in range(5):
session.run(model)
x = x + 1
print(session.run(x))
x = tf.Variable(0., name='x')
threshold = tf.constant(5.)
model = tf.glob... | 19.666667 | 46 | 0.589454 | 76 | 531 | 4.039474 | 0.355263 | 0.162866 | 0.071661 | 0.078176 | 0.469055 | 0.469055 | 0.358306 | 0.358306 | 0.358306 | 0.358306 | 0 | 0.015666 | 0.278719 | 531 | 26 | 47 | 20.423077 | 0.785901 | 0 | 0 | 0.470588 | 0 | 0 | 0.003968 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 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 |
1fd7ed8a83b56f175881d6f318fa389d67ee450a | 732 | py | Python | bewerte/muendlich.py | jupfi81/NotenManager | ee96a41088bb898c025aed7b3c904741cb71d004 | [
"MIT"
] | null | null | null | bewerte/muendlich.py | jupfi81/NotenManager | ee96a41088bb898c025aed7b3c904741cb71d004 | [
"MIT"
] | null | null | null | bewerte/muendlich.py | jupfi81/NotenManager | ee96a41088bb898c025aed7b3c904741cb71d004 | [
"MIT"
] | null | null | null | """Berechnet die mündliche Note"""
import csv
with open('bewertung.csv', encoding='utf-8', mode='r') as bewertung:
TABELLE = []
DATA = csv.reader(bewertung, delimiter=',')
for row in DATA:
TABELLE.append([element.strip() for element in row])
OUTPUT = [TABELLE[0] + ["Note"]]
del TABELLE[0]
... | 31.826087 | 92 | 0.562842 | 102 | 732 | 4.039216 | 0.421569 | 0.07767 | 0.058252 | 0.072816 | 0.092233 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039179 | 0.26776 | 732 | 22 | 93 | 33.272727 | 0.729478 | 0.038251 | 0 | 0 | 0 | 0 | 0.055874 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fd7f7aa485ce2ad0b848a0e2bbaa8cf36a6c24a | 410 | py | Python | python3/tests/test_edit_distance.py | qianbinbin/leetcode | 915cecab0c940cd13847683ec55b17b77eb0f39b | [
"MIT"
] | 4 | 2018-03-05T02:27:16.000Z | 2021-03-15T14:19:44.000Z | python3/tests/test_edit_distance.py | qianbinbin/leetcode | 915cecab0c940cd13847683ec55b17b77eb0f39b | [
"MIT"
] | null | null | null | python3/tests/test_edit_distance.py | qianbinbin/leetcode | 915cecab0c940cd13847683ec55b17b77eb0f39b | [
"MIT"
] | 2 | 2018-07-22T10:32:10.000Z | 2018-10-20T03:14:28.000Z | from unittest import TestCase
from leetcodepy.edit_distance import *
solution1 = Solution1()
word11 = "horse"
word12 = "ros"
expected1 = 3
word21 = "intention"
word22 = "execution"
expected2 = 5
class TestEditDistance(TestCase):
def test1(self):
self.assertEqual(expected1, solution1.minDistance(wo... | 17.083333 | 74 | 0.731707 | 43 | 410 | 6.953488 | 0.627907 | 0.100334 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079179 | 0.168293 | 410 | 23 | 75 | 17.826087 | 0.797654 | 0 | 0 | 0 | 0 | 0 | 0.063415 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fd8f8fea0aa37bc2adfbcbf6dda99e537d99a7f | 805 | py | Python | pageobject/commands/index.py | lukas-linhart/pageobject | 6ae83680ae62a94f93cefc394e4f3cc6999aeead | [
"MIT"
] | 1 | 2017-01-12T06:15:36.000Z | 2017-01-12T06:15:36.000Z | pageobject/commands/index.py | lukas-linhart/pageobject | 6ae83680ae62a94f93cefc394e4f3cc6999aeead | [
"MIT"
] | null | null | null | pageobject/commands/index.py | lukas-linhart/pageobject | 6ae83680ae62a94f93cefc394e4f3cc6999aeead | [
"MIT"
] | null | null | null | def index(self, value):
"""
Return index of the first child containing the specified value.
:param str value: text value to look for
:returns: index of the first child containing the specified value
:rtype: int
:raises ValueError: if the value is not found
"""
self.logger.info('getting ... | 47.352941 | 116 | 0.690683 | 119 | 805 | 4.563025 | 0.336134 | 0.077348 | 0.081031 | 0.12523 | 0.548803 | 0.548803 | 0.443831 | 0.38674 | 0.38674 | 0.213628 | 0 | 0 | 0.185093 | 805 | 16 | 117 | 50.3125 | 0.827744 | 0.284472 | 0 | 0 | 0 | 0 | 0.377532 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fda8ca8896b2d1bcde84055f16e53f955e23e9c | 2,724 | py | Python | vlsopt/data_factory/transaction_factory.py | violas-core/bvexchange | 74cf3197aad02e0f5e2dac457266d11c9c8cc746 | [
"MIT"
] | null | null | null | vlsopt/data_factory/transaction_factory.py | violas-core/bvexchange | 74cf3197aad02e0f5e2dac457266d11c9c8cc746 | [
"MIT"
] | null | null | null | vlsopt/data_factory/transaction_factory.py | violas-core/bvexchange | 74cf3197aad02e0f5e2dac457266d11c9c8cc746 | [
"MIT"
] | 1 | 2022-01-05T04:39:47.000Z | 2022-01-05T04:39:47.000Z | #!/usr/bin/python3
import operator
import sys
import json
import os
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), "./"))
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), "../"))
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), "../../"))
sys.pat... | 33.62963 | 96 | 0.551762 | 281 | 2,724 | 5.074733 | 0.256228 | 0.050491 | 0.036466 | 0.042076 | 0.148668 | 0.148668 | 0.148668 | 0.148668 | 0.148668 | 0.148668 | 0 | 0.000534 | 0.312041 | 2,724 | 80 | 97 | 34.05 | 0.760406 | 0.006241 | 0 | 0 | 0 | 0 | 0.207394 | 0.085767 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078125 | false | 0 | 0.09375 | 0.03125 | 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 |
1fdadaa704a4a57bab069bbf9519d57e9bc28d25 | 3,703 | py | Python | tests/test_source.py | j18ter/exchangelib | afb0df65c5533999bca92e25be4c00de5c03043c | [
"BSD-2-Clause"
] | null | null | null | tests/test_source.py | j18ter/exchangelib | afb0df65c5533999bca92e25be4c00de5c03043c | [
"BSD-2-Clause"
] | null | null | null | tests/test_source.py | j18ter/exchangelib | afb0df65c5533999bca92e25be4c00de5c03043c | [
"BSD-2-Clause"
] | null | null | null | from exchangelib.errors import (
ErrorAccessDenied,
ErrorFolderNotFound,
ErrorInvalidOperation,
ErrorItemNotFound,
ErrorNoPublicFolderReplicaAvailable,
)
from exchangelib.properties import EWSElement
from .common import EWSTest
class CommonTest(EWSTest):
def test_magic(self):
self.ass... | 34.287037 | 105 | 0.533081 | 309 | 3,703 | 6.197411 | 0.430421 | 0.063185 | 0.049608 | 0.036031 | 0.032376 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.387254 | 3,703 | 107 | 106 | 34.607477 | 0.843984 | 0.063192 | 0 | 0.214286 | 0 | 0 | 0.174076 | 0.079099 | 0 | 0 | 0 | 0 | 0.061224 | 1 | 0.020408 | false | 0 | 0.040816 | 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 |
1fdb3bda49808628500a9864a821b84e3138f89c | 735 | py | Python | {{cookiecutter.project_slug}}/app/utils/mail.py | Bexils/fastapi-project-template | 1d6937c5adce7603c77e01f8560032082392fdbd | [
"MIT"
] | 4 | 2021-04-04T23:19:06.000Z | 2021-04-10T21:32:23.000Z | {{cookiecutter.project_slug}}/app/utils/mail.py | Bexils/fastapi-project-template | 1d6937c5adce7603c77e01f8560032082392fdbd | [
"MIT"
] | null | null | null | {{cookiecutter.project_slug}}/app/utils/mail.py | Bexils/fastapi-project-template | 1d6937c5adce7603c77e01f8560032082392fdbd | [
"MIT"
] | null | null | null | import os
from datetime import datetime
from pathlib import Path
from pydantic import EmailStr
def send_dummy_mail(subject: str, message: str, to: EmailStr):
current_path = os.getcwd()
filename = f'{datetime.now().timestamp()} - {subject}.txt'
email_text = f'''Subject: {subject}
From: no-reply@email.com
T... | 28.269231 | 64 | 0.672109 | 101 | 735 | 4.722772 | 0.425743 | 0.0587 | 0.041929 | 0.071279 | 0.318658 | 0.318658 | 0.205451 | 0.205451 | 0.205451 | 0.205451 | 0 | 0 | 0.204082 | 735 | 26 | 65 | 28.269231 | 0.815385 | 0 | 0 | 0.181818 | 0 | 0 | 0.180707 | 0.038043 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.181818 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fe22fd049d8e5e23653953f62233abe237a47e8 | 16,692 | py | Python | bloodbank_rl/pyomo_models/stochastic_model_runner.py | joefarrington/bloodbank_rl | f285581145034b498f01c9b44f95437ceddb042a | [
"MIT"
] | null | null | null | bloodbank_rl/pyomo_models/stochastic_model_runner.py | joefarrington/bloodbank_rl | f285581145034b498f01c9b44f95437ceddb042a | [
"MIT"
] | null | null | null | bloodbank_rl/pyomo_models/stochastic_model_runner.py | joefarrington/bloodbank_rl | f285581145034b498f01c9b44f95437ceddb042a | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import pyomo.environ as pyo
import mpisppy.utils.sputils as sputils
from mpisppy.opt.ef import ExtensiveForm
from pathlib import Path
import os
import sys
path_root = Path(os.path.abspath(__file__)).parents[2]
sys.path.append(str(path_root))
from bloodbank_rl.environments.plat... | 37.679458 | 107 | 0.557453 | 1,917 | 16,692 | 4.5759 | 0.14554 | 0.053352 | 0.03762 | 0.052668 | 0.499886 | 0.437187 | 0.400023 | 0.337323 | 0.251026 | 0.209758 | 0 | 0.006013 | 0.332495 | 16,692 | 442 | 108 | 37.764706 | 0.781278 | 0.054278 | 0 | 0.22191 | 0 | 0 | 0.155374 | 0.051199 | 0 | 0 | 0 | 0.002262 | 0 | 1 | 0.05618 | false | 0 | 0.02809 | 0.008427 | 0.160112 | 0.019663 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fe41f5dc40be297773f566df8109a75b70ca3b8 | 3,623 | py | Python | ch1/tictactoe.py | T0nyX1ang/Reinforcement-Learning | a86ab92ee628b95c7dbe432c079b7ce04b5e982a | [
"MIT"
] | null | null | null | ch1/tictactoe.py | T0nyX1ang/Reinforcement-Learning | a86ab92ee628b95c7dbe432c079b7ce04b5e982a | [
"MIT"
] | null | null | null | ch1/tictactoe.py | T0nyX1ang/Reinforcement-Learning | a86ab92ee628b95c7dbe432c079b7ce04b5e982a | [
"MIT"
] | null | null | null | import random
import json
class TTTGame(object):
def __init__(self):
self._board = [0] * 9
self._end = False
with open('learning.json', 'r') as f:
self._state = json.loads(f.read())
self._alpha = 0.05
def judge(self, state):
if (sum(state[0: 3]) == 3 or \
sum(state[3: 6]) == 3 or \
sum(state[6::]... | 27.037313 | 134 | 0.619928 | 576 | 3,623 | 3.71875 | 0.184028 | 0.134454 | 0.039216 | 0.071895 | 0.592437 | 0.562092 | 0.537815 | 0.523343 | 0.495798 | 0.471522 | 0 | 0.037847 | 0.205079 | 3,623 | 133 | 135 | 27.240602 | 0.705903 | 0.048027 | 0 | 0.425 | 0 | 0 | 0.042139 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.016667 | 0 | 0.166667 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fe6e5bdf88233acf9a9c841722eff52d327f1f2 | 13,160 | py | Python | Server.py | HackintoshwithUbuntu/Python-Chat-App | d5af370e33a092c52702efed6b1074d458c593ac | [
"MIT"
] | 2 | 2021-08-30T03:19:10.000Z | 2021-09-06T21:51:02.000Z | Server.py | HackintoshwithUbuntu/Python-Chat-App | d5af370e33a092c52702efed6b1074d458c593ac | [
"MIT"
] | null | null | null | Server.py | HackintoshwithUbuntu/Python-Chat-App | d5af370e33a092c52702efed6b1074d458c593ac | [
"MIT"
] | null | null | null | # Imports
import socket # Communication
import threading # Communication with multiple users at once
import pickle # Serialising data
import hashlib # Hashing passwords
from Crypto.Cipher import AES # AES encryption algorithms
from Crypto.Random import get_random_bytes # For generating random keys and nonces... | 38.820059 | 115 | 0.572188 | 1,491 | 13,160 | 4.932931 | 0.262911 | 0.008973 | 0.016315 | 0.026105 | 0.13637 | 0.090551 | 0.076683 | 0.055201 | 0.034534 | 0.02828 | 0 | 0.005237 | 0.347036 | 13,160 | 339 | 116 | 38.820059 | 0.850692 | 0.336018 | 0 | 0.234637 | 0 | 0 | 0.104252 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044693 | false | 0.039106 | 0.03352 | 0 | 0.106145 | 0.122905 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fec0bf47c009cdb0ca6fac21df153c55c6c1431 | 46,269 | py | Python | bot/utils/trackmania.py | NottCurious/TMIndiaBot | 824c171fa2f41aa21631796c384f70a34a721364 | [
"MIT"
] | 1 | 2022-02-12T16:40:17.000Z | 2022-02-12T16:40:17.000Z | bot/utils/trackmania.py | NottCurious/TMIndiaBot | 824c171fa2f41aa21631796c384f70a34a721364 | [
"MIT"
] | 78 | 2021-10-14T05:32:54.000Z | 2022-01-21T09:22:37.000Z | bot/utils/trackmania.py | NottCurious/TMIndiaBot | 824c171fa2f41aa21631796c384f70a34a721364 | [
"MIT"
] | null | null | null | import asyncio
import json
import os
import shutil
import typing
from datetime import datetime, timezone, timedelta
from matplotlib import pyplot as plt
import cv2
import country_converter as coco
import flag
import requests
import discord
from bot.api import APIClient
from bot.log import get_logger
from bot.utils.co... | 35.756569 | 195 | 0.578832 | 5,491 | 46,269 | 4.674194 | 0.094336 | 0.054547 | 0.019988 | 0.013909 | 0.524936 | 0.399595 | 0.316606 | 0.253682 | 0.216123 | 0.184797 | 0 | 0.017766 | 0.307787 | 46,269 | 1,293 | 196 | 35.784223 | 0.783596 | 0.028118 | 0 | 0.293156 | 0 | 0.00715 | 0.27097 | 0.041654 | 0 | 0 | 0.000366 | 0 | 0 | 1 | 0.043922 | false | 0.003064 | 0.017365 | 0.001021 | 0.11951 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fed6ebbcca1ccb5af62d7ab28474d73bafe114f | 4,535 | py | Python | src/vehicle_core/model/throttle_model.py | decabyte/vehicle_core | 623e1e993445713ab2ba625ac54be150077c2f1e | [
"BSD-3-Clause"
] | 1 | 2016-12-14T11:48:02.000Z | 2016-12-14T11:48:02.000Z | src/vehicle_core/model/throttle_model.py | decabyte/vehicle_core | 623e1e993445713ab2ba625ac54be150077c2f1e | [
"BSD-3-Clause"
] | null | null | null | src/vehicle_core/model/throttle_model.py | decabyte/vehicle_core | 623e1e993445713ab2ba625ac54be150077c2f1e | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Software License Agreement (BSD License)
#
# Copyright (c) 2014, Ocean Systems Laboratory, Heriot-Watt University, UK.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the follow... | 40.855856 | 118 | 0.714443 | 637 | 4,535 | 5.00314 | 0.416013 | 0.021964 | 0.023533 | 0.018826 | 0.131785 | 0.085974 | 0.085974 | 0.042673 | 0.042673 | 0.042673 | 0 | 0.00416 | 0.204851 | 4,535 | 110 | 119 | 41.227273 | 0.879645 | 0.743771 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fee9ed72e23e0f9892bd14d8b33f1a360d24471 | 1,605 | py | Python | social_friends_finder/backends/vkontakte_backend.py | haremmaster/django-social-friends-finder | cad63349b19b3c301626c24420ace13c63f45ad7 | [
"BSD-3-Clause"
] | 19 | 2015-01-01T16:23:06.000Z | 2020-01-02T22:42:17.000Z | social_friends_finder/backends/vkontakte_backend.py | haremmaster/django-social-friends-finder | cad63349b19b3c301626c24420ace13c63f45ad7 | [
"BSD-3-Clause"
] | 2 | 2015-01-01T16:34:59.000Z | 2015-03-26T10:30:59.000Z | social_friends_finder/backends/vkontakte_backend.py | laplacesdemon/django-social-friends-finder | cad63349b19b3c301626c24420ace13c63f45ad7 | [
"BSD-3-Clause"
] | 11 | 2015-01-16T18:39:34.000Z | 2021-08-13T00:46:41.000Z | from social_friends_finder.backends import BaseFriendsProvider
from social_friends_finder.utils import setting
if not setting("SOCIAL_FRIENDS_USING_ALLAUTH", False):
from social_auth.backends.contrib.vk import VKOAuth2Backend
USING_ALLAUTH = False
else:
from allauth.socialaccount.models import SocialToken, ... | 33.4375 | 114 | 0.684112 | 184 | 1,605 | 5.804348 | 0.380435 | 0.05618 | 0.031835 | 0.043071 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001663 | 0.250467 | 1,605 | 47 | 115 | 34.148936 | 0.886118 | 0.300312 | 0 | 0.090909 | 0 | 0 | 0.103314 | 0.02729 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.227273 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ff9b69a4019a1762d86b4de69764598a30ea2b6 | 8,228 | py | Python | dial/metrics.py | neukg/KAT-TSLF | 91bff10312ba5fbbd46978b268a1c97a5d627dcd | [
"MIT"
] | 11 | 2021-11-19T06:17:10.000Z | 2022-03-11T07:12:30.000Z | dial/metrics.py | neukg/KAT-TSLF | 91bff10312ba5fbbd46978b268a1c97a5d627dcd | [
"MIT"
] | 3 | 2021-11-20T14:00:24.000Z | 2022-03-03T19:41:01.000Z | dial/metrics.py | neukg/KAT-TSLF | 91bff10312ba5fbbd46978b268a1c97a5d627dcd | [
"MIT"
] | null | null | null | from nltk.translate.bleu_score import corpus_bleu, sentence_bleu, SmoothingFunction
from nltk import word_tokenize
# import language_evaluation
from typing import List
from collections import defaultdict, Counter
import re
import math
import sys
def mean(lst):
return sum(lst) / len(lst)
def _calc_ngram_dict(tok... | 35.465517 | 113 | 0.653986 | 1,174 | 8,228 | 4.356899 | 0.167802 | 0.043011 | 0.037146 | 0.030499 | 0.295797 | 0.235582 | 0.199805 | 0.141935 | 0.12043 | 0.090714 | 0 | 0.045398 | 0.223627 | 8,228 | 232 | 114 | 35.465517 | 0.755322 | 0.092124 | 0 | 0.126984 | 0 | 0.010582 | 0.028099 | 0.00484 | 0 | 0 | 0 | 0 | 0.005291 | 1 | 0.111111 | false | 0 | 0.037037 | 0.026455 | 0.253968 | 0.010582 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ffb6e885c207ea205ef242e09f2cabe5866ad26 | 3,705 | py | Python | cameraToWorld.py | blguweb/Tap-Tap-computer | 4e2007b5a31e6d5f902b1e3ca58206870331ef07 | [
"MIT"
] | null | null | null | cameraToWorld.py | blguweb/Tap-Tap-computer | 4e2007b5a31e6d5f902b1e3ca58206870331ef07 | [
"MIT"
] | null | null | null | cameraToWorld.py | blguweb/Tap-Tap-computer | 4e2007b5a31e6d5f902b1e3ca58206870331ef07 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
from typing import NoReturn
import cv2 as cv
import numpy as np
from numpy import mat
import xml.etree.ElementTree as ET
import math
camera_angle = 315
camera_intrinsic = {
# # 相机内参矩阵
# 相机内参矩阵 matlab 求得
"camera_matrix": [871.08632815... | 33.080357 | 129 | 0.550877 | 508 | 3,705 | 3.877953 | 0.326772 | 0.025381 | 0.025888 | 0.022335 | 0.164975 | 0.070558 | 0.045178 | 0.041117 | 0 | 0 | 0 | 0.123357 | 0.302024 | 3,705 | 112 | 130 | 33.080357 | 0.638438 | 0.145479 | 0 | 0 | 0 | 0 | 0.052214 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.092105 | 0 | 0.25 | 0.131579 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ffb6f2d2eca765ba18ee0ccc397d70767e06533 | 5,004 | py | Python | compilers/labs/lab2/gui.py | vampy/university | 9496cb63594dcf1cc2cec8650b8eee603f85fdab | [
"MIT"
] | 6 | 2015-06-22T19:43:13.000Z | 2019-07-15T18:08:41.000Z | compilers/labs/lab2/gui.py | vampy/university | 9496cb63594dcf1cc2cec8650b8eee603f85fdab | [
"MIT"
] | null | null | null | compilers/labs/lab2/gui.py | vampy/university | 9496cb63594dcf1cc2cec8650b8eee603f85fdab | [
"MIT"
] | 1 | 2015-09-26T09:01:54.000Z | 2015-09-26T09:01:54.000Z | #!/usr/bin/python
import os
from log import Log
from enum import IntEnum, unique
from grammar import Grammar
from automaton import FiniteAutomaton
@unique
class Command(IntEnum):
GRAMMAR_READ = 1
GRAMMAR_DISPLAY = 2
GRAMMAR_VERIFY = 3
AUTOMATON_READ = 4
AUTOMATON_DISPLAY = 5
CONVERT_RG_TO_FA... | 33.139073 | 108 | 0.552158 | 559 | 5,004 | 4.78712 | 0.187835 | 0.036996 | 0.06577 | 0.044843 | 0.396861 | 0.245889 | 0.188341 | 0.176756 | 0.085949 | 0.085949 | 0 | 0.008634 | 0.351918 | 5,004 | 150 | 109 | 33.36 | 0.816528 | 0.010991 | 0 | 0.310345 | 0 | 0 | 0.082103 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043103 | false | 0 | 0.043103 | 0 | 0.241379 | 0.198276 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ffec07dcf5a4c57c0d689934f15fff735336375 | 2,382 | py | Python | ml-scripts/ss_calib/scripts/ss_charge_cali.py | YashengFu/exo-200_scripts | d33a1a2eeda5f072409656b96e8730f2de53ee0b | [
"MIT"
] | null | null | null | ml-scripts/ss_calib/scripts/ss_charge_cali.py | YashengFu/exo-200_scripts | d33a1a2eeda5f072409656b96e8730f2de53ee0b | [
"MIT"
] | null | null | null | ml-scripts/ss_calib/scripts/ss_charge_cali.py | YashengFu/exo-200_scripts | d33a1a2eeda5f072409656b96e8730f2de53ee0b | [
"MIT"
] | null | null | null | import numpy as np
import time
import argparse
import pandas as pd
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from scipy import special
from tqdm import tqdm
from scipy.optimize import curve_fit
from utils.build_hist import build_hist
class SS_Charge:
"""
read calibration data and ... | 38.419355 | 184 | 0.673804 | 360 | 2,382 | 4.163889 | 0.369444 | 0.046698 | 0.045364 | 0.036024 | 0.029353 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02697 | 0.206129 | 2,382 | 61 | 185 | 39.04918 | 0.765732 | 0.026029 | 0 | 0 | 0 | 0.019231 | 0.107205 | 0.043403 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.192308 | 0 | 0.365385 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1fff4ed247e76eafdf9461ae3d7ab7dc88f2b73c | 97,747 | py | Python | ExoplanetPocketknife.py | ScottHull/Exoplanet-Pocketknife | 15b49ff3612adc3b31a78c27379fb8b2f47c6c8f | [
"CC0-1.0"
] | null | null | null | ExoplanetPocketknife.py | ScottHull/Exoplanet-Pocketknife | 15b49ff3612adc3b31a78c27379fb8b2f47c6c8f | [
"CC0-1.0"
] | null | null | null | ExoplanetPocketknife.py | ScottHull/Exoplanet-Pocketknife | 15b49ff3612adc3b31a78c27379fb8b2f47c6c8f | [
"CC0-1.0"
] | null | null | null | # python /usr/bin/env/python
# /// The Exoplanet Pocketknife
# /// Scott D. Hull, The Ohio State University 2015-2017
# /// All usage must include proper citation and a link to the Github repository
# /// https://github.com/ScottHull/Exoplanet-Pocketknife
import os, csv, time, sys, shutil, subprocess
from threading ... | 46.7689 | 207 | 0.541234 | 11,946 | 97,747 | 4.141972 | 0.093253 | 0.016734 | 0.020049 | 0.005497 | 0.655032 | 0.597534 | 0.547757 | 0.512409 | 0.478779 | 0.445938 | 0 | 0.061092 | 0.32932 | 97,747 | 2,089 | 208 | 46.791288 | 0.693671 | 0.121917 | 0 | 0.455182 | 0 | 0.023109 | 0.195014 | 0.073073 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0.035714 | 0.005602 | 0 | 0.022409 | 0.07493 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9500f8ddc8a192d5b326bf23ad973aa2e9a8109b | 4,074 | py | Python | tools/extract_observable.py | pauxy-qmc/pauxy | 1da80284284769b59361c73cfa3c2d914c74a73f | [
"Apache-2.0"
] | 16 | 2020-08-05T17:17:17.000Z | 2022-03-18T04:06:18.000Z | tools/extract_observable.py | pauxy-qmc/pauxy | 1da80284284769b59361c73cfa3c2d914c74a73f | [
"Apache-2.0"
] | 4 | 2020-05-17T21:28:20.000Z | 2021-04-22T18:05:50.000Z | tools/extract_observable.py | pauxy-qmc/pauxy | 1da80284284769b59361c73cfa3c2d914c74a73f | [
"Apache-2.0"
] | 5 | 2020-05-18T01:03:18.000Z | 2021-04-13T15:36:29.000Z | #!/usr/bin/env python
'''Exctact element of green's function'''
import argparse
import sys
import numpy
import os
import pandas as pd
import json
_script_dir = os.path.abspath(os.path.dirname(__file__))
sys.path.append(os.path.join(_script_dir, 'analysis'))
import matplotlib.pyplot as plt
# from pauxy.analysis.extract... | 33.393443 | 82 | 0.579774 | 462 | 4,074 | 4.993506 | 0.333333 | 0.034677 | 0.051582 | 0.035111 | 0.172952 | 0.136108 | 0.066753 | 0.066753 | 0.046814 | 0 | 0 | 0.0041 | 0.281541 | 4,074 | 121 | 83 | 33.669421 | 0.784079 | 0.138684 | 0 | 0.075 | 0 | 0 | 0.148961 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.1125 | 0 | 0.15 | 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 |
950130b7d174e4ab134e14783a96e2c70ef6e914 | 12,854 | py | Python | datasets.py | shivakanthsujit/FMMRNet | 12742398e3b981938a69e44b3f37d285904929b4 | [
"MIT"
] | null | null | null | datasets.py | shivakanthsujit/FMMRNet | 12742398e3b981938a69e44b3f37d285904929b4 | [
"MIT"
] | null | null | null | datasets.py | shivakanthsujit/FMMRNet | 12742398e3b981938a69e44b3f37d285904929b4 | [
"MIT"
] | null | null | null | import glob
import os
import albumentations as A
import kaggle
import numpy as np
import PIL
import pytorch_lightning as pl
import torch
from albumentations.pytorch import ToTensorV2
from torch.utils.data import random_split
from torch.utils.data.dataloader import DataLoader
from utils import show_images
def get_tr... | 33.300518 | 119 | 0.628131 | 1,688 | 12,854 | 4.531398 | 0.115521 | 0.043143 | 0.028762 | 0.033991 | 0.691463 | 0.64649 | 0.619427 | 0.61629 | 0.532357 | 0.517061 | 0 | 0.011941 | 0.257274 | 12,854 | 385 | 120 | 33.387013 | 0.789253 | 0.032597 | 0 | 0.51634 | 0 | 0 | 0.050416 | 0.007918 | 0 | 0 | 0 | 0 | 0.009804 | 1 | 0.101307 | false | 0 | 0.039216 | 0.026144 | 0.218954 | 0.01634 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9505115c9cbc7843483152234defea7c4da55e5d | 663 | py | Python | 29_Tree/Step03/wowo0709.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | 29_Tree/Step03/wowo0709.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | 3 | 2020-11-04T05:38:53.000Z | 2021-03-02T02:15:19.000Z | 29_Tree/Step03/wowo0709.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | import sys
input = sys.stdin.readline
from collections import deque
def bfs(v):
dp = [-1 for _ in range(V+1)]
dp[v] = 0
q = deque()
q.append(v)
while q:
cv = q.popleft()
for nc,nv in tree[cv]:
if dp[nv] == -1: # 아직 들르지 않았다면,
dp[nv] = dp[cv] + nc
... | 24.555556 | 43 | 0.517345 | 117 | 663 | 2.905983 | 0.470085 | 0.044118 | 0.088235 | 0.097059 | 0.105882 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024176 | 0.313725 | 663 | 27 | 44 | 24.555556 | 0.723077 | 0.131222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.083333 | 0 | 0.166667 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
95086bdd5bed5808e0d9ba240d94e656c6d84fab | 1,624 | py | Python | _scripts/pandoc_wiki_filter.py | BenjaminPollak/coursebook | 4646102b5f4c3d283885ba1b221da71a5e509eeb | [
"CC-BY-3.0",
"CC-BY-4.0"
] | null | null | null | _scripts/pandoc_wiki_filter.py | BenjaminPollak/coursebook | 4646102b5f4c3d283885ba1b221da71a5e509eeb | [
"CC-BY-3.0",
"CC-BY-4.0"
] | null | null | null | _scripts/pandoc_wiki_filter.py | BenjaminPollak/coursebook | 4646102b5f4c3d283885ba1b221da71a5e509eeb | [
"CC-BY-3.0",
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python3
"""
Pandoc filter to change each relative URL to absolute
"""
from panflute import run_filter, Str, Header, Image, Math, Link, RawInline
import sys
import re
base_raw_url = 'https://raw.githubusercontent.com/illinois-cs241/coursebook/master/'
class NoAltTagException(Exception):
pass
def ... | 28.491228 | 84 | 0.640394 | 216 | 1,624 | 4.717593 | 0.546296 | 0.034347 | 0.019627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004237 | 0.273399 | 1,624 | 56 | 85 | 29 | 0.859322 | 0.343596 | 0 | 0 | 0 | 0 | 0.097421 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0.035714 | 0.107143 | 0.035714 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9508ac69c9c25e71d33441ccd8a681ec504ce33e | 8,793 | py | Python | PA_multiagent_game/multiagent_utils.py | salesforce/RIRL | 6f137955bfbe2054be18bb2b15d0e6aedb972b06 | [
"BSD-3-Clause"
] | null | null | null | PA_multiagent_game/multiagent_utils.py | salesforce/RIRL | 6f137955bfbe2054be18bb2b15d0e6aedb972b06 | [
"BSD-3-Clause"
] | null | null | null | PA_multiagent_game/multiagent_utils.py | salesforce/RIRL | 6f137955bfbe2054be18bb2b15d0e6aedb972b06 | [
"BSD-3-Clause"
] | null | null | null | #
# Copyright (c) 2022, salesforce.com, inc.
# All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
#
import sys
import glob
sys.path.insert(0, '..')
import numpy as np
import matplotlib
import matp... | 35.313253 | 230 | 0.585579 | 1,270 | 8,793 | 3.750394 | 0.196063 | 0.010917 | 0.008398 | 0.021415 | 0.282385 | 0.152425 | 0.109595 | 0.063405 | 0.046609 | 0.046609 | 0 | 0.016365 | 0.277266 | 8,793 | 248 | 231 | 35.455645 | 0.733124 | 0.113158 | 0 | 0.07362 | 0 | 0 | 0.095213 | 0.030984 | 0 | 0 | 0 | 0 | 0.01227 | 1 | 0.02454 | false | 0 | 0.067485 | 0 | 0.116564 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
950dcd67a7917370bcc5ec2201e9aaf688e1aa85 | 2,062 | py | Python | postgres/python-asyncio/main.py | Gelbpunkt/idlebench | fe370f9fa6335cf738a91ca818638aedf0cf1ba3 | [
"Apache-2.0"
] | null | null | null | postgres/python-asyncio/main.py | Gelbpunkt/idlebench | fe370f9fa6335cf738a91ca818638aedf0cf1ba3 | [
"Apache-2.0"
] | null | null | null | postgres/python-asyncio/main.py | Gelbpunkt/idlebench | fe370f9fa6335cf738a91ca818638aedf0cf1ba3 | [
"Apache-2.0"
] | 4 | 2020-08-16T22:23:42.000Z | 2020-08-17T20:15:33.000Z | import asyncio
import asyncpg
VALUES = [
356091260429402122,
"Why are you reading",
9164,
6000000,
14,
0,
0,
0,
463318425901596672,
"https://i.imgur.com/LRV2QCK.png",
15306,
["Paragon", "White Sorcerer"],
0,
0,
647,
"Leader",
None,
0,
"10.0",... | 25.45679 | 88 | 0.511639 | 228 | 2,062 | 4.552632 | 0.587719 | 0.013487 | 0.078035 | 0.042389 | 0.102119 | 0.102119 | 0.102119 | 0.102119 | 0 | 0 | 0 | 0.16156 | 0.303589 | 2,062 | 80 | 89 | 25.775 | 0.561281 | 0 | 0 | 0.323944 | 0 | 0.056338 | 0.491271 | 0.059651 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.014085 | 0.028169 | 0 | 0.028169 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
950e90e9549308bcb8380f5876c0fc12c6f68485 | 1,112 | py | Python | fv-courseware/exercise-01/counter_formal.py | DonaldKellett/nmigen-beginner | 260ae76a5277e36ec9909aaf6b76acab320aed88 | [
"MIT"
] | 1 | 2020-11-09T13:34:02.000Z | 2020-11-09T13:34:02.000Z | fv-courseware/exercise-01/counter_formal.py | DonaldKellett/nmigen-beginner | 260ae76a5277e36ec9909aaf6b76acab320aed88 | [
"MIT"
] | null | null | null | fv-courseware/exercise-01/counter_formal.py | DonaldKellett/nmigen-beginner | 260ae76a5277e36ec9909aaf6b76acab320aed88 | [
"MIT"
] | null | null | null | from nmigen import *
from nmigen.asserts import Assert
from nmigen.cli import main_parser, main_runner
__all__ = ["Counter"]
"""
Simple counter with formal verification
See slides 50-60 in
https://zipcpu.com/tutorial/class-verilog.pdf
"""
class Counter(Elaboratable):
def __init__(self, fv_mode = False):
self.fv_m... | 25.272727 | 55 | 0.695144 | 175 | 1,112 | 4.205714 | 0.365714 | 0.134511 | 0.040761 | 0.065217 | 0.142663 | 0.142663 | 0.084239 | 0.084239 | 0.084239 | 0 | 0 | 0.01826 | 0.16277 | 1,112 | 44 | 56 | 25.272727 | 0.772288 | 0 | 0 | 0.060606 | 0 | 0 | 0.015 | 0 | 0 | 0 | 0 | 0 | 0.060606 | 1 | 0.090909 | false | 0 | 0.090909 | 0.030303 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9510db3851814a40d1e201c8697a846d403a09e9 | 731 | py | Python | mnist/download.py | hiroog/cppapimnist | 30d7e01954fc43da2eea5fe3ebf034b37e79cfd1 | [
"MIT"
] | null | null | null | mnist/download.py | hiroog/cppapimnist | 30d7e01954fc43da2eea5fe3ebf034b37e79cfd1 | [
"MIT"
] | null | null | null | mnist/download.py | hiroog/cppapimnist | 30d7e01954fc43da2eea5fe3ebf034b37e79cfd1 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import urllib.request
import os
import gzip
DOWNLOAD_URL='http://yann.lecun.com/exdb/mnist/'
file_list=[ 'train-images-idx3-ubyte', 'train-labels-idx1-ubyte', 't10k-images-idx3-ubyte', 't10k-labels-idx1-ubyte' ]
for name in file_list:
if not os.path.exists( name ):
gz_name= name + '.gz'... | 30.458333 | 118 | 0.575923 | 104 | 731 | 3.951923 | 0.423077 | 0.087591 | 0.072993 | 0.053528 | 0.194647 | 0.111922 | 0.111922 | 0.111922 | 0 | 0 | 0 | 0.017078 | 0.27907 | 731 | 23 | 119 | 31.782609 | 0.762808 | 0.023256 | 0 | 0.117647 | 0 | 0 | 0.204225 | 0.126761 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.176471 | 0 | 0.176471 | 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 |
951110f9319a47de447b38bde1aba4ab72ddd1bd | 2,651 | py | Python | arch/arm64/tests/a64_tbnz.py | Samsung/ADBI | 3e424c45386b0a36c57211da819021cb1929775a | [
"Apache-2.0"
] | 312 | 2016-02-04T11:03:17.000Z | 2022-03-18T11:30:10.000Z | arch/arm64/tests/a64_tbnz.py | NickHardwood/ADBI | 3e424c45386b0a36c57211da819021cb1929775a | [
"Apache-2.0"
] | 4 | 2016-02-04T11:05:40.000Z | 2017-07-27T04:22:27.000Z | arch/arm64/tests/a64_tbnz.py | NickHardwood/ADBI | 3e424c45386b0a36c57211da819021cb1929775a | [
"Apache-2.0"
] | 85 | 2016-02-04T12:48:30.000Z | 2021-01-14T06:23:24.000Z | import random
from common import *
class test_a64_tbnz(TemplateTest):
def gen_rand(self):
regs = list(set(GPREGS) - {'x0', 'w0'})
while True:
yield {'insn' : random.choice(['tbz', 'tbnz']),
'reg' : random.choice(regs),
'bit' : random.randint(... | 38.42029 | 94 | 0.488118 | 305 | 2,651 | 4.091803 | 0.311475 | 0.038462 | 0.067308 | 0.028846 | 0.205128 | 0.145833 | 0.145833 | 0.145833 | 0.092949 | 0.092949 | 0 | 0.036374 | 0.367409 | 2,651 | 68 | 95 | 38.985294 | 0.707812 | 0 | 0 | 0.183333 | 0 | 0 | 0.09619 | 0 | 0 | 0 | 0.018861 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.033333 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |