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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6b97a216ca7bed17169dea75598a8db7b38aa938 | 3,225 | py | Python | tests/conftest.py | jeromedockes/neuroquery_image_search | 2222caf464de84694273a494ec2d00071b3d14a2 | [
"BSD-3-Clause"
] | 3 | 2021-01-26T20:27:24.000Z | 2021-09-28T19:51:36.000Z | tests/conftest.py | jeromedockes/neuroquery_image_search | 2222caf464de84694273a494ec2d00071b3d14a2 | [
"BSD-3-Clause"
] | null | null | null | tests/conftest.py | jeromedockes/neuroquery_image_search | 2222caf464de84694273a494ec2d00071b3d14a2 | [
"BSD-3-Clause"
] | 1 | 2021-01-21T22:27:16.000Z | 2021-01-21T22:27:16.000Z | from pathlib import Path
import tempfile
from unittest.mock import MagicMock
import pytest
import numpy as np
import pandas as pd
from scipy import sparse
import nibabel
import nilearn
from nilearn.datasets import _testing
from nilearn.datasets._testing import request_mocker # noqa: F401
def make_fake_img():
r... | 32.25 | 78 | 0.68093 | 438 | 3,225 | 4.753425 | 0.321918 | 0.036984 | 0.01585 | 0.018732 | 0.074928 | 0.048991 | 0.027858 | 0 | 0 | 0 | 0 | 0.013143 | 0.197829 | 3,225 | 99 | 79 | 32.575758 | 0.791651 | 0.003101 | 0 | 0.047619 | 0 | 0 | 0.117336 | 0.033613 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.130952 | 0.02381 | 0.27381 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b9e0d5209b7b62f3db7419587e03282debb98ce | 524 | py | Python | Praticas/pratica03/latitude_longitude.py | andrepinto42/Processamento-de-Linguagens | 98facba0d1c9ca751743b1c83dca7f441aa182e9 | [
"MIT"
] | 1 | 2022-03-18T21:39:47.000Z | 2022-03-18T21:39:47.000Z | Praticas/pratica03/latitude_longitude.py | andrepinto42/Processamento-de-Linguagens | 98facba0d1c9ca751743b1c83dca7f441aa182e9 | [
"MIT"
] | null | null | null | Praticas/pratica03/latitude_longitude.py | andrepinto42/Processamento-de-Linguagens | 98facba0d1c9ca751743b1c83dca7f441aa182e9 | [
"MIT"
] | null | null | null | import re
import sys
real_num = r'[+-]?\d+(?:\.\d+)?'
# Falta colocar as os paratenses para identificar o grupo correto
coord = rf'\(({real_num}),\s*({real_num})\)'
for line in sys.stdin:
line = re.sub(coord,r"<point lat='\1', lon='\2' />",line)
if (line):
print(line)
quit()
# Tambem dá para e... | 22.782609 | 71 | 0.574427 | 85 | 524 | 3.482353 | 0.458824 | 0.118243 | 0.054054 | 0.094595 | 0.445946 | 0.317568 | 0.317568 | 0.317568 | 0.317568 | 0.317568 | 0 | 0.004717 | 0.19084 | 524 | 23 | 72 | 22.782609 | 0.693396 | 0.179389 | 0 | 0.428571 | 0 | 0 | 0.378505 | 0.182243 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b9f0ffcb6c75b079a5eb98125aa38eb4f61fd76 | 375 | py | Python | includes/prav_modules/test2.py | praveen868686/DAGAirflow-with-Python | 483fffc2e7f987e523ae3653a90869a67cdad886 | [
"MIT"
] | null | null | null | includes/prav_modules/test2.py | praveen868686/DAGAirflow-with-Python | 483fffc2e7f987e523ae3653a90869a67cdad886 | [
"MIT"
] | null | null | null | includes/prav_modules/test2.py | praveen868686/DAGAirflow-with-Python | 483fffc2e7f987e523ae3653a90869a67cdad886 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
def see():
m = pd.read_csv('C:/dag/Expenditure.csv')
#m = pd.read_csv('C:\dag\Expendture.csv')
# print(m.head())
countt= m ['Category'].value_counts(sort=True, ascending=True).to_frame()
print(countt)
pivottable= m.pivot_table(index=['Category'], values=[... | 25 | 83 | 0.656 | 55 | 375 | 4.381818 | 0.618182 | 0.024896 | 0.058091 | 0.082988 | 0.116183 | 0.116183 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 375 | 14 | 84 | 26.785714 | 0.765079 | 0.149333 | 0 | 0 | 0 | 0 | 0.148265 | 0.069401 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.333333 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ba002cacb0aea0efbea0d09c9f0563aeccf4db3 | 4,134 | py | Python | MLP/generate_args.py | AMNoureldin/COMP551-HW4 | 0c855372862300cc0454f144bb40b2e72ba93861 | [
"Apache-2.0"
] | 15 | 2021-03-18T03:00:15.000Z | 2022-02-28T04:42:54.000Z | MLP/generate_args.py | AMNoureldin/COMP551-HW4 | 0c855372862300cc0454f144bb40b2e72ba93861 | [
"Apache-2.0"
] | null | null | null | MLP/generate_args.py | AMNoureldin/COMP551-HW4 | 0c855372862300cc0454f144bb40b2e72ba93861 | [
"Apache-2.0"
] | 2 | 2021-11-05T15:50:20.000Z | 2022-01-16T11:48:27.000Z | # Copyright 2021 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, ... | 32.046512 | 94 | 0.618287 | 577 | 4,134 | 4.211438 | 0.37435 | 0.032922 | 0.030864 | 0.024691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015815 | 0.265844 | 4,134 | 128 | 95 | 32.296875 | 0.784843 | 0.376149 | 0 | 0.042254 | 0 | 0 | 0.174566 | 0.082149 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.042254 | 0 | 0.042254 | 0.014085 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ba35922a8da9226341017db55248451774263a5 | 38,712 | py | Python | EasyRegression.py | pankajchejara23/EasyRegression | 7f76d92c4a9d056a83bde6abc2fd6eb980602e44 | [
"MIT"
] | 1 | 2021-04-19T16:47:27.000Z | 2021-04-19T16:47:27.000Z | EasyRegression.py | pankajchejara23/EasyRegression | 7f76d92c4a9d056a83bde6abc2fd6eb980602e44 | [
"MIT"
] | null | null | null | EasyRegression.py | pankajchejara23/EasyRegression | 7f76d92c4a9d056a83bde6abc2fd6eb980602e44 | [
"MIT"
] | null | null | null |
import pandas as pd
import matplotlib.pyplot as plt
import librosa
import seaborn as sns
from sklearn.model_selection import train_test_split
import math
from sklearn.model_selection import LeaveOneGroupOut
from sklearn.metrics import mean_squared_error, mean_absolute_error
import traceback
import statistics
# Regress... | 41.139214 | 457 | 0.517462 | 3,813 | 38,712 | 5.084448 | 0.120378 | 0.029917 | 0.012379 | 0.017331 | 0.469851 | 0.41043 | 0.359983 | 0.325012 | 0.293857 | 0.271264 | 0 | 0.008895 | 0.346585 | 38,712 | 941 | 458 | 41.139214 | 0.757541 | 0.03712 | 0 | 0.3457 | 0 | 0 | 0.161192 | 0.045734 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035413 | false | 0 | 0.097808 | 0 | 0.177066 | 0.215852 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ba459622ba98919bfa10ab43ed05d7011713aea | 469 | py | Python | Moderate/Prime Numbers/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | Moderate/Prime Numbers/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | Moderate/Prime Numbers/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | import sys
lines = open(sys.argv[1], 'r')
for line in lines:
line = line.replace('\n', '').replace('\r', '')
if len(line) > 0:
n = int(line)
primes = set([2])
num = 3
while num < n:
if all(num % i != 0 for i in primes):
primes = set(list(pri... | 26.055556 | 52 | 0.45629 | 64 | 469 | 3.34375 | 0.484375 | 0.084112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020408 | 0.373134 | 469 | 17 | 53 | 27.588235 | 0.707483 | 0 | 0 | 0 | 0 | 0 | 0.013274 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ba4e572e52707590a52608ce4cc12b513909627 | 2,117 | py | Python | gemtown/users/serializers.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | gemtown/users/serializers.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | 5 | 2020-09-04T20:13:39.000Z | 2022-02-17T22:03:33.000Z | gemtown/users/serializers.py | doramong0926/gemtown | 2c39284e3c68f0cc11994bed0ee2abaad0ea06b6 | [
"MIT"
] | null | null | null | from rest_framework import serializers
from gemtown.modelphotos import models as modelphoto_models
from gemtown.modelers import models as modeler_models
from gemtown.musicians import models as musician_models
from . import models
import time
class TimestampField(serializers.Field):
def to_representation(self, valu... | 25.817073 | 60 | 0.561171 | 166 | 2,117 | 7.012048 | 0.39759 | 0.111684 | 0.060137 | 0.090206 | 0.142612 | 0.051546 | 0 | 0 | 0 | 0 | 0 | 0 | 0.352858 | 2,117 | 81 | 61 | 26.135802 | 0.849635 | 0 | 0 | 0.309859 | 0 | 0 | 0.117313 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014085 | false | 0 | 0.084507 | 0.014085 | 0.366197 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ba78991985070dc29bb6e09cbc030857e571e30 | 6,702 | py | Python | alexa_skills/cis_diagnosis.py | paramraghavan/sls-py-alexa-color-picker | da4752442dd4ead19832930103adb9d81cfc163a | [
"MIT"
] | null | null | null | alexa_skills/cis_diagnosis.py | paramraghavan/sls-py-alexa-color-picker | da4752442dd4ead19832930103adb9d81cfc163a | [
"MIT"
] | null | null | null | alexa_skills/cis_diagnosis.py | paramraghavan/sls-py-alexa-color-picker | da4752442dd4ead19832930103adb9d81cfc163a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from ask_sdk_core.skill_builder import SkillBuilder
from ask_sdk_core.utils import is_request_type, is_intent_name
from ask_sdk_core.handler_input import HandlerInput
from ask_sdk_model import Response
from ask_sdk_model.ui import SimpleCard
import os
from alexa_skills import aw... | 32.852941 | 110 | 0.716801 | 873 | 6,702 | 5.255441 | 0.273769 | 0.07585 | 0.061029 | 0.070619 | 0.278989 | 0.209895 | 0.159765 | 0.15279 | 0.151046 | 0.123801 | 0 | 0.001084 | 0.173829 | 6,702 | 203 | 111 | 33.014778 | 0.827524 | 0.222769 | 0 | 0.090909 | 0 | 0 | 0.128404 | 0.013317 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.118182 | 0.009091 | 0.354545 | 0.027273 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6ba8948db01a555810296ad83a1297622916c86e | 988 | py | Python | armautils_cli/smdimerge.py | KoffeinFlummi/ArmaUtils | 2f1fdc8fb561fb54077f3c328d7a788e75c78dad | [
"MIT"
] | 1 | 2015-02-19T17:31:17.000Z | 2015-02-19T17:31:17.000Z | armautils_cli/smdimerge.py | KoffeinFlummi/ArmaUtils | 2f1fdc8fb561fb54077f3c328d7a788e75c78dad | [
"MIT"
] | null | null | null | armautils_cli/smdimerge.py | KoffeinFlummi/ArmaUtils | 2f1fdc8fb561fb54077f3c328d7a788e75c78dad | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import numpy as np
from PIL import Image
def smdimerge(pargs, oargs):
if len(pargs) != 3:
return -1
path_spec, path_gloss, path_target = pargs
try:
spec = Image.open(path_spec).convert("RGBA")
gloss = Image.open(path_gloss).convert("RGBA")
except:
... | 23.52381 | 72 | 0.601215 | 140 | 988 | 4.192857 | 0.471429 | 0.0477 | 0.044293 | 0.064736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01238 | 0.26417 | 988 | 41 | 73 | 24.097561 | 0.795048 | 0.021255 | 0 | 0.233333 | 0 | 0 | 0.181159 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.066667 | 0 | 0.266667 | 0.133333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6baa9c56ec82f3de3e848ccc5b1bc7bfad503442 | 7,001 | py | Python | detect_motor_test3.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | detect_motor_test3.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | detect_motor_test3.py | binghaohuang1/object-detective-visual-tracking | e61680a771dc13a006113d96965e59ff1bc3ce6d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#!coding=utf-8
import rospy
import numpy as np
import PIL.Image as pilimage
from sensor_msgs.msg import CompressedImage
from sensor_msgs.msg import Image
from std_msgs.msg import Float64
from cv_bridge import CvBridge, CvBridgeError
import cv2
import time
from yolo import YOLO
from sensor_msgs.ms... | 32.868545 | 114 | 0.571347 | 862 | 7,001 | 4.37935 | 0.230858 | 0.08053 | 0.058543 | 0.063046 | 0.423841 | 0.358146 | 0.352318 | 0.331921 | 0.331921 | 0.296424 | 0 | 0.042836 | 0.333095 | 7,001 | 212 | 115 | 33.023585 | 0.765689 | 0.12084 | 0 | 0.446667 | 0 | 0 | 0.032749 | 0.010971 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0.013333 | 0.133333 | 0 | 0.166667 | 0.073333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6baba2b5a50d24a7e67ce4b5e3c206e3e6b416ad | 7,184 | py | Python | git_pull_all.py | searKing/git-pull-all | b77a1b0461cd00a5f3ccd48253a12674557302b6 | [
"MIT"
] | null | null | null | git_pull_all.py | searKing/git-pull-all | b77a1b0461cd00a5f3ccd48253a12674557302b6 | [
"MIT"
] | null | null | null | git_pull_all.py | searKing/git-pull-all | b77a1b0461cd00a5f3ccd48253a12674557302b6 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import git
from git import *
import threading
import os
import sys
import getopt
from enum import Enum
class GitCommandType(Enum):
pull = 1
push = 2
nop = 3
def yes_or_no(msg: str):
yes_no = input(msg + " ? [Y]es or [n]o?")
yes_no = yes_no.lower()
if yes_no == "yes" or yes... | 39.256831 | 121 | 0.579065 | 921 | 7,184 | 4.127036 | 0.156352 | 0.060773 | 0.047356 | 0.044199 | 0.46935 | 0.36964 | 0.280716 | 0.213102 | 0.202052 | 0.191002 | 0 | 0.004607 | 0.335329 | 7,184 | 182 | 122 | 39.472527 | 0.791414 | 0.016425 | 0 | 0.224359 | 0 | 0 | 0.114682 | 0.025202 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044872 | false | 0.025641 | 0.044872 | 0 | 0.192308 | 0.108974 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bac63dfef6fa2d50e75637d8cb0e279922534d7 | 1,943 | py | Python | 03-dearsanta/dateconvert.py | hugovk/NaNoGenMo-2016 | e71b333173b221066f56adcdea4fe8cfdfd4e7c7 | [
"FTL"
] | null | null | null | 03-dearsanta/dateconvert.py | hugovk/NaNoGenMo-2016 | e71b333173b221066f56adcdea4fe8cfdfd4e7c7 | [
"FTL"
] | null | null | null | 03-dearsanta/dateconvert.py | hugovk/NaNoGenMo-2016 | e71b333173b221066f56adcdea4fe8cfdfd4e7c7 | [
"FTL"
] | null | null | null | #!/usr/bin/env python3
"""
Take a timestamp like:
25/11/2016 23:05:03
Convert it to:
25 November 2016, 13:05 PST
25 November 2016, 16:05 EST
25 November 2016, 21:05 GMT
25 November 2016, 21:05 UTC
25 November 2016, 23:05 EET
26 November 2016, 02:35 IST
26 November 2016, 05:05 CST
26 November 2016, 06:05 JST
26 Novembe... | 25.906667 | 74 | 0.662378 | 261 | 1,943 | 4.808429 | 0.43295 | 0.086056 | 0.055777 | 0.025498 | 0.028685 | 0 | 0 | 0 | 0 | 0 | 0 | 0.068898 | 0.215646 | 1,943 | 74 | 75 | 26.256757 | 0.754593 | 0.288214 | 0 | 0 | 0 | 0 | 0.15593 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.081081 | 0 | 0.135135 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bad66e09e43cf21ce9d5331e922f80d18955982 | 799 | py | Python | priv_tube/database/repositories/system_flags.py | ActionCactus/prive_tube | d6d53b87e1a91248e32532a86b23f2d2f3196c58 | [
"MIT"
] | null | null | null | priv_tube/database/repositories/system_flags.py | ActionCactus/prive_tube | d6d53b87e1a91248e32532a86b23f2d2f3196c58 | [
"MIT"
] | null | null | null | priv_tube/database/repositories/system_flags.py | ActionCactus/prive_tube | d6d53b87e1a91248e32532a86b23f2d2f3196c58 | [
"MIT"
] | null | null | null | from priv_tube.database.models.system_flags import SystemFlags as Model
from priv_tube.database import db
class SystemFlags:
"""
Repository for interacting with the `system_flags` database table responsible for system-wide toggles.
"""
@staticmethod
def is_enabled(setting_name: str) -> bool:
... | 29.592593 | 106 | 0.693367 | 102 | 799 | 5.264706 | 0.421569 | 0.122905 | 0.078212 | 0.117318 | 0.370577 | 0.370577 | 0.370577 | 0.370577 | 0.370577 | 0.370577 | 0 | 0 | 0.210263 | 799 | 26 | 107 | 30.730769 | 0.85103 | 0.12766 | 0 | 0.411765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 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 |
6baec59b9ec0b23b54791668f80cdb75f7f78fe2 | 2,899 | py | Python | borisat/models/rd/unnested.py | CircleOnCircles/borisat | 4f170ee1a0b11f06b1c3e99f42823061d7e0028e | [
"MIT"
] | null | null | null | borisat/models/rd/unnested.py | CircleOnCircles/borisat | 4f170ee1a0b11f06b1c3e99f42823061d7e0028e | [
"MIT"
] | 1 | 2020-10-10T08:18:29.000Z | 2020-10-10T08:18:29.000Z | borisat/models/rd/unnested.py | CircleOnCircles/borisat | 4f170ee1a0b11f06b1c3e99f42823061d7e0028e | [
"MIT"
] | null | null | null | """
{
'vNID': {
'anyType': [
'0105558096348'
]
},
'vtin': None,
'vtitleName': {
'anyType': [
'บริษัท'
]
},
'vName': {
'anyType': [
'โฟลว์แอคเคาท์ จำกัด'
]
},
'vSurname': {
'anyT... | 19.993103 | 137 | 0.397378 | 255 | 2,899 | 4.592157 | 0.494118 | 0.042699 | 0.068318 | 0.018787 | 0.06661 | 0.06661 | 0.044406 | 0.044406 | 0.044406 | 0.044406 | 0 | 0.024809 | 0.457744 | 2,899 | 144 | 138 | 20.131944 | 0.704835 | 0.588479 | 0 | 0 | 0 | 0.035714 | 0.142166 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.25 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bb3065e877b04d04efa39f8cb2dec584e2b65df | 3,696 | py | Python | app/utils/logger.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | 6 | 2021-03-27T08:58:04.000Z | 2021-05-23T17:07:09.000Z | app/utils/logger.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | 2 | 2021-05-30T08:06:53.000Z | 2021-06-02T17:02:06.000Z | app/utils/logger.py | janaSunrise/ZeroCOM | 7197684ce708f080fe215b0a6e57c12836e4c0ab | [
"Apache-2.0"
] | null | null | null | # -- Imports --
from datetime import datetime
from colorama import Back
from rich.console import Console
from .colors import get_bright_color, get_color
# -- Mappings --
log_color_mapping = {
"error": get_bright_color("RED"),
"warning": get_bright_color("YELLOW"),
"message": get_color("CYAN"),
"succe... | 29.806452 | 102 | 0.619589 | 444 | 3,696 | 4.873874 | 0.128378 | 0.064695 | 0.097043 | 0.126155 | 0.507394 | 0.47597 | 0.47597 | 0.458872 | 0.458872 | 0.356285 | 0 | 0 | 0.232413 | 3,696 | 123 | 103 | 30.04878 | 0.762778 | 0.007576 | 0 | 0.380952 | 0 | 0 | 0.293042 | 0.216098 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.047619 | 0 | 0.178571 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bb5a3ae1541a6323233d61a349487d06b8c5714 | 1,907 | py | Python | Simplex_Files/Dual_Problem.py | c-randall/Primal-Simplex-Method | 620d7598691ed9717d2d18706c44e462f75e85c5 | [
"BSD-3-Clause"
] | 1 | 2021-12-04T12:18:17.000Z | 2021-12-04T12:18:17.000Z | Simplex_Files/Dual_Problem.py | c-randall/Primal-Simplex-Method | 620d7598691ed9717d2d18706c44e462f75e85c5 | [
"BSD-3-Clause"
] | null | null | null | Simplex_Files/Dual_Problem.py | c-randall/Primal-Simplex-Method | 620d7598691ed9717d2d18706c44e462f75e85c5 | [
"BSD-3-Clause"
] | 2 | 2020-05-30T16:38:37.000Z | 2022-01-22T19:50:42.000Z | """
Created on Wed Apr 3 13:07:18 2019
Author:
Corey R. Randall
Summary:
If the user wishes to solve the Dual Problem over the Primal one, this
function provides support to appropriately convert the problem into its
alternate form.
"""
""" Import needed modules """
"----------------... | 31.262295 | 80 | 0.529628 | 273 | 1,907 | 3.56044 | 0.322344 | 0.144033 | 0.024691 | 0.024691 | 0.09465 | 0.061728 | 0 | 0 | 0 | 0 | 0 | 0.025228 | 0.251704 | 1,907 | 60 | 81 | 31.783333 | 0.655922 | 0.262192 | 0 | 0.0625 | 0 | 0 | 0.162882 | 0.120595 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.03125 | 0 | 0.09375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bbbb5f359c8e40427bcd1ee484f14b132a99a62 | 2,593 | py | Python | gallery/m_cardloader.py | kengoon/KvGallery | 4d946fa06479636411e027bfdebbb15c58c176cf | [
"MIT"
] | 2 | 2021-05-28T13:37:07.000Z | 2021-06-20T06:47:20.000Z | gallery/m_cardloader.py | kengoon/KvGallery | 4d946fa06479636411e027bfdebbb15c58c176cf | [
"MIT"
] | null | null | null | gallery/m_cardloader.py | kengoon/KvGallery | 4d946fa06479636411e027bfdebbb15c58c176cf | [
"MIT"
] | null | null | null | from kivy.event import EventDispatcher
from kivy.metrics import dp
from kivy.properties import ListProperty, StringProperty
from kivymd.uix.card import MDCard
from kivy.lang import Builder
__all__ = "M_CardLoader"
Builder.load_string(
"""
# kv_start
<M_CardLoader>:
md_bg_color: 0, 0, 0, 0
radius: [dp(10),... | 27.585106 | 73 | 0.529117 | 288 | 2,593 | 4.559028 | 0.388889 | 0.013709 | 0.011424 | 0.018279 | 0.025895 | 0.018279 | 0 | 0 | 0 | 0 | 0 | 0.024284 | 0.38064 | 2,593 | 93 | 74 | 27.88172 | 0.793275 | 0 | 0 | 0 | 0 | 0 | 0.038657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.178571 | false | 0 | 0.178571 | 0 | 0.535714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bbc545ddb8b337163afbee7b7359f2bf1545ca8 | 763 | py | Python | setup.py | OpenTAI/pre-commit-hooks | e123691fa26ff26d1a5f3513ee419bec6eef02ab | [
"MIT"
] | null | null | null | setup.py | OpenTAI/pre-commit-hooks | e123691fa26ff26d1a5f3513ee419bec6eef02ab | [
"MIT"
] | 1 | 2022-02-16T10:19:25.000Z | 2022-02-16T10:19:26.000Z | setup.py | OpenTAI/pre-commit-hooks | e123691fa26ff26d1a5f3513ee419bec6eef02ab | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup # type: ignore
def readme():
with open('./README.md', encoding='utf-8') as f:
content = f.read()
return content
setup(
name='pre_commit_hooks',
version='0.1.0',
description='A pre-commit hook for OpenTAI projects',
long_description=readme(... | 26.310345 | 68 | 0.647444 | 93 | 763 | 5.107527 | 0.634409 | 0.094737 | 0.117895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009934 | 0.208388 | 763 | 28 | 69 | 27.25 | 0.77649 | 0.015727 | 0 | 0 | 0 | 0 | 0.351135 | 0.125501 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.041667 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bc548fb933264d47e42737add228df3e1a66805 | 3,509 | py | Python | main.py | lhs9842/KNUTNoticeBot | cfc83f2abc079a660177d00da1eab288cad021b4 | [
"MIT"
] | 1 | 2022-02-23T01:54:07.000Z | 2022-02-23T01:54:07.000Z | main.py | lhs9842/KNUTNoticeBot | cfc83f2abc079a660177d00da1eab288cad021b4 | [
"MIT"
] | null | null | null | main.py | lhs9842/KNUTNoticeBot | cfc83f2abc079a660177d00da1eab288cad021b4 | [
"MIT"
] | 1 | 2022-02-23T07:17:31.000Z | 2022-02-23T07:17:31.000Z | import setting
import requests
import threading
import time
import sqlite3
from bs4 import BeautifulSoup
from urllib import parse
public_board = [["BBSMSTR_000000000059", "일반소식"], ["BBSMSTR_000000000060", "장학안내"], ["BBSMSTR_000000000055", "학사공지사항"]] # [boardId, 게시판 명칭]
db_conn = sqlite3.connect("NoticeBot.db", check_... | 44.987179 | 205 | 0.596751 | 477 | 3,509 | 4.224319 | 0.404612 | 0.035732 | 0.044665 | 0.032754 | 0.273449 | 0.206948 | 0.206948 | 0.206948 | 0.206948 | 0.159801 | 0 | 0.032133 | 0.263893 | 3,509 | 78 | 206 | 44.987179 | 0.747967 | 0.066686 | 0 | 0.152778 | 0 | 0 | 0.224159 | 0.021713 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.097222 | 0 | 0.138889 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bc83f48988080bc745090b0af2be2b40f9b6a5e | 2,041 | py | Python | inference_methods_local.py | Yaakoubi/Struct-CKN | fa007fa71310866584bdf2e5b038e6663b94e965 | [
"MIT"
] | 1 | 2021-05-30T13:42:56.000Z | 2021-05-30T13:42:56.000Z | inference_methods_local.py | Yaakoubi/Struct-CKN | fa007fa71310866584bdf2e5b038e6663b94e965 | [
"MIT"
] | null | null | null | inference_methods_local.py | Yaakoubi/Struct-CKN | fa007fa71310866584bdf2e5b038e6663b94e965 | [
"MIT"
] | 2 | 2022-03-16T22:00:30.000Z | 2022-03-29T20:08:57.000Z | import ad3
import numpy as np
from pystruct.inference.common import _validate_params
class InferenceException(Exception):
pass
def inference_ad3_local(unary_potentials, pairwise_potentials, edges, relaxed=False,
verbose=0, return_energy=False, branch_and_bound=False,
... | 39.25 | 92 | 0.632533 | 227 | 2,041 | 5.374449 | 0.295154 | 0.091803 | 0.032787 | 0.029508 | 0.290164 | 0.17541 | 0.116393 | 0.116393 | 0.116393 | 0.116393 | 0 | 0.012544 | 0.296913 | 2,041 | 51 | 93 | 40.019608 | 0.837631 | 0 | 0 | 0.25 | 0 | 0 | 0.01809 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0.022727 | 0.068182 | 0 | 0.181818 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bcb30fd29a6ef624f4b1ad7d00a496c9b08cdb4 | 6,611 | py | Python | leo/modes/lotos.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 1,550 | 2015-01-14T16:30:37.000Z | 2022-03-31T08:55:58.000Z | leo/modes/lotos.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 2,009 | 2015-01-13T16:28:52.000Z | 2022-03-31T18:21:48.000Z | leo/modes/lotos.py | ATikhonov2/leo-editor | 225aac990a9b2804aaa9dea29574d6e072e30474 | [
"MIT"
] | 200 | 2015-01-05T15:07:41.000Z | 2022-03-07T17:05:01.000Z | # Leo colorizer control file for lotos mode.
# This file is in the public domain.
# Properties for lotos mode.
properties = {
"commentEnd": "*)",
"commentStart": "(*",
"indentNextLines": "\\s*(let|library|process|specification|type|>>).*|\\s*(\\(|\\[\\]|\\[>|\\|\\||\\|\\|\\||\\|\\[.*\\]\\||\\[.*\\]\... | 29.513393 | 149 | 0.570867 | 715 | 6,611 | 5.044755 | 0.244755 | 0.177433 | 0.022456 | 0.037427 | 0.440255 | 0.433879 | 0.418908 | 0.401164 | 0.401164 | 0.401164 | 0 | 0.032126 | 0.223113 | 6,611 | 223 | 150 | 29.64574 | 0.670171 | 0.062472 | 0 | 0.036269 | 0 | 0 | 0.250084 | 0.020463 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046632 | false | 0 | 0.005181 | 0.046632 | 0.098446 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bce53c9abe42e1145ff3c9feca2ddc25c7666a1 | 275 | py | Python | src/ProblemSolving/DiagonalDifference.py | Feng-Zhao/hackerrankPy | fc04f0a11cf543ad3697860eca774103593abcd5 | [
"Apache-2.0"
] | null | null | null | src/ProblemSolving/DiagonalDifference.py | Feng-Zhao/hackerrankPy | fc04f0a11cf543ad3697860eca774103593abcd5 | [
"Apache-2.0"
] | null | null | null | src/ProblemSolving/DiagonalDifference.py | Feng-Zhao/hackerrankPy | fc04f0a11cf543ad3697860eca774103593abcd5 | [
"Apache-2.0"
] | null | null | null | def diagonalDifference(arr):
a = 0
b = 0
for i in range(0, len(arr)):
a += arr[i][i]
b += arr[i][len(arr) - i - 1]
return abs(a - b)
if __name__ == '__main__':
arr = [[11, 2, 4],[4, 5, 6],[10, 8, -12]]
print(diagonalDifference(arr))
| 21.153846 | 45 | 0.490909 | 45 | 275 | 2.822222 | 0.577778 | 0.094488 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 0.301818 | 275 | 12 | 46 | 22.916667 | 0.578125 | 0 | 0 | 0 | 0 | 0 | 0.029091 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bd0d6670874846404621cb14ddcf0728b11d685 | 1,395 | py | Python | balltze_simulation/balltze_pybullet/balltze/balltze.py | Kotochleb/Balltze | 55b15cb57d20f7f212293bf838e1d6cf874bb4c2 | [
"MIT"
] | 1 | 2021-09-04T03:59:01.000Z | 2021-09-04T03:59:01.000Z | balltze_simulation/balltze_pybullet/balltze/balltze.py | Kotochleb/Balltze | 55b15cb57d20f7f212293bf838e1d6cf874bb4c2 | [
"MIT"
] | null | null | null | balltze_simulation/balltze_pybullet/balltze/balltze.py | Kotochleb/Balltze | 55b15cb57d20f7f212293bf838e1d6cf874bb4c2 | [
"MIT"
] | null | null | null | import pybullet as p
import time
import numpy as np
import pybullet_data
from balltze_description import Balltze, BalltzeKinematics
import math
if __name__ == '__main__':
time_step = 1./240.
physicsClient = p.connect(p.GUI)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
p.setGravity(0,0,-9.81)
... | 32.44186 | 154 | 0.597133 | 200 | 1,395 | 4.055 | 0.38 | 0.019729 | 0.018496 | 0.024661 | 0.073983 | 0.062885 | 0.054254 | 0 | 0 | 0 | 0 | 0.083491 | 0.244444 | 1,395 | 42 | 155 | 33.214286 | 0.685958 | 0.098925 | 0 | 0.058824 | 0 | 0 | 0.067093 | 0.052716 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.176471 | 0 | 0.176471 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bd20797291e733d3485db7e9a7d16d42673718a | 8,850 | py | Python | urbit_sniffer.py | laanwj/urbit-tools | b3823d50d5ab84c0852593e3255c0d7c51de6d1c | [
"MIT"
] | 18 | 2015-02-03T19:27:18.000Z | 2021-04-04T03:03:57.000Z | urbit_sniffer.py | laanwj/urbit-tools | b3823d50d5ab84c0852593e3255c0d7c51de6d1c | [
"MIT"
] | null | null | null | urbit_sniffer.py | laanwj/urbit-tools | b3823d50d5ab84c0852593e3255c0d7c51de6d1c | [
"MIT"
] | 2 | 2015-10-02T01:37:13.000Z | 2017-06-04T03:41:49.000Z | #!/usr/bin/python3
# Copyright (c) 2014 Wladimir J. van der Laan, Visucore
# Distributed under the MIT software license, see
# http://www.opensource.org/licenses/mit-license.php.
'''
urbit UDP sniffer
Usage: urbit_sniffer.py [-p <port1>-<port2>,<port3>,...] [-i <interface>]
'''
import struct, sys, io, argparse, dateti... | 38.146552 | 165 | 0.599887 | 1,135 | 8,850 | 4.567401 | 0.274009 | 0.020062 | 0.026235 | 0.007523 | 0.154514 | 0.092207 | 0.055941 | 0.039738 | 0.021605 | 0.021605 | 0 | 0.026981 | 0.262938 | 8,850 | 231 | 166 | 38.311688 | 0.767592 | 0.110508 | 0 | 0.152542 | 0 | 0.011299 | 0.110585 | 0.008319 | 0 | 0 | 0.000896 | 0 | 0 | 1 | 0.039548 | false | 0.00565 | 0.050847 | 0.00565 | 0.175141 | 0.050847 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bd54aeda1cf3aa43806abaf7f0e2dafeca01c0d | 1,638 | py | Python | app/tests/v1/test_product.py | owezzy/StoreManager | 821856c0d502b55bd499cfe9188cd4951c5b0b75 | [
"MIT"
] | null | null | null | app/tests/v1/test_product.py | owezzy/StoreManager | 821856c0d502b55bd499cfe9188cd4951c5b0b75 | [
"MIT"
] | 2 | 2018-10-10T22:32:35.000Z | 2021-06-01T22:50:56.000Z | app/tests/v1/test_product.py | owezzy/StoreManager | 821856c0d502b55bd499cfe9188cd4951c5b0b75 | [
"MIT"
] | 1 | 2018-10-25T12:42:41.000Z | 2018-10-25T12:42:41.000Z | import unittest
import json
from app.app import create_app
POST_PRODUCT_URL = '/api/v1/products'
GET_A_SINGLE_PRODUCT = '/api/v1/product/1'
GET_ALL_PRODUCTS = '/api/v1/products'
class TestProduct(unittest.TestCase):
def setUp(self):
"""Initialize the api with test variable"""
self.app = create_... | 30.333333 | 72 | 0.623321 | 194 | 1,638 | 5.041237 | 0.309278 | 0.076687 | 0.117587 | 0.106339 | 0.381391 | 0.188139 | 0.188139 | 0 | 0 | 0 | 0 | 0.01495 | 0.264957 | 1,638 | 53 | 73 | 30.90566 | 0.797342 | 0.072039 | 0 | 0.108108 | 0 | 0 | 0.093396 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 1 | 0.108108 | false | 0 | 0.081081 | 0 | 0.216216 | 0.054054 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bd88438849c3a76c7d468249205380ab8ab8c38 | 1,346 | py | Python | cryptoshredding/s3/client.py | hupe1980/cryptoshredding | 1ab5ee452c4435f486006aa2cc1a7bee440d91fe | [
"MIT"
] | null | null | null | cryptoshredding/s3/client.py | hupe1980/cryptoshredding | 1ab5ee452c4435f486006aa2cc1a7bee440d91fe | [
"MIT"
] | null | null | null | cryptoshredding/s3/client.py | hupe1980/cryptoshredding | 1ab5ee452c4435f486006aa2cc1a7bee440d91fe | [
"MIT"
] | null | null | null | import boto3
from botocore.client import BaseClient
from ..key_store import KeyStore
from .object import CryptoObject
from .stream_body_wrapper import StreamBodyWrapper
class CryptoS3(object):
def __init__(
self,
client: BaseClient,
key_store: KeyStore,
) -> None:
self._client... | 31.302326 | 88 | 0.641902 | 161 | 1,346 | 5.192547 | 0.403727 | 0.076555 | 0.043062 | 0.035885 | 0.047847 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004082 | 0.271917 | 1,346 | 42 | 89 | 32.047619 | 0.84898 | 0.228083 | 0 | 0.068966 | 0 | 0 | 0.018145 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.137931 | false | 0 | 0.172414 | 0 | 0.448276 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bd9272def1931c3aead22a640fadc1a05f50b8f | 5,627 | py | Python | tests/infra/test_subnet.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | 2 | 2017-10-31T18:48:20.000Z | 2018-03-04T20:35:20.000Z | tests/infra/test_subnet.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | null | null | null | tests/infra/test_subnet.py | bretttegart/treadmill | 812109e31c503a6eddaee2d3f2e1faf2833b6aaf | [
"Apache-2.0"
] | null | null | null | """
Unit test for EC2 subnet.
"""
import unittest
import mock
from treadmill.infra.subnet import Subnet
class SubnetTest(unittest.TestCase):
@mock.patch('treadmill.infra.connection.Connection')
def test_init(self, ConnectionMock):
conn_mock = ConnectionMock()
Subnet.ec2_conn = Subnet.route5... | 30.090909 | 78 | 0.563355 | 582 | 5,627 | 5.201031 | 0.139175 | 0.066072 | 0.04625 | 0.052858 | 0.629997 | 0.584077 | 0.502147 | 0.438057 | 0.326396 | 0.259663 | 0 | 0.014048 | 0.316865 | 5,627 | 186 | 79 | 30.252688 | 0.773413 | 0.004443 | 0 | 0.385621 | 0 | 0 | 0.135145 | 0.0463 | 0 | 0 | 0 | 0 | 0.137255 | 1 | 0.045752 | false | 0 | 0.019608 | 0 | 0.071895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bdac7bc37d6267a61f05383477b3f0ca7a95eab | 5,138 | py | Python | tests/building/test_tokenization.py | fossabot/langumo | 2d8b30979878bb27fb07cc31879c13c5c186582c | [
"Apache-2.0"
] | 7 | 2020-09-05T08:30:25.000Z | 2021-11-01T14:07:58.000Z | tests/building/test_tokenization.py | fossabot/langumo | 2d8b30979878bb27fb07cc31879c13c5c186582c | [
"Apache-2.0"
] | 2 | 2020-09-11T14:19:47.000Z | 2021-03-05T17:22:21.000Z | tests/building/test_tokenization.py | fossabot/langumo | 2d8b30979878bb27fb07cc31879c13c5c186582c | [
"Apache-2.0"
] | 3 | 2020-09-11T14:16:06.000Z | 2021-10-31T14:18:10.000Z | import tempfile
from langumo.building import TrainTokenizer, TokenizeSentences
from langumo.utils import AuxiliaryFileManager
_dummy_corpus_content = (
'Wikipedia is a multilingual online encyclopedia created and maintained '
'as an open collaboration project by a community of volunteer editors '
'using a... | 47.137615 | 79 | 0.665434 | 650 | 5,138 | 5.201538 | 0.436923 | 0.023957 | 0.010352 | 0.01331 | 0.216208 | 0.211772 | 0.196983 | 0.196983 | 0.169772 | 0.169772 | 0 | 0.018243 | 0.253211 | 5,138 | 108 | 80 | 47.574074 | 0.862914 | 0.071234 | 0 | 0.258824 | 0 | 0 | 0.47775 | 0 | 0 | 0 | 0 | 0 | 0.070588 | 1 | 0.035294 | false | 0 | 0.035294 | 0 | 0.070588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bdb7b37ea55baaa1973a1fff39476ce6ea71851 | 12,819 | py | Python | examples/BertNewsClassification/news_classifier.py | mlflow/mlflow-torchserve | 91663b630ef12313da3ad821767faf3fc409345b | [
"Apache-2.0"
] | 40 | 2020-11-13T02:08:10.000Z | 2022-03-27T07:41:57.000Z | examples/BertNewsClassification/news_classifier.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 23 | 2020-11-16T11:28:01.000Z | 2021-09-23T11:28:24.000Z | examples/BertNewsClassification/news_classifier.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 15 | 2020-11-13T10:25:25.000Z | 2022-02-01T10:13:20.000Z | # pylint: disable=W0221
# pylint: disable=W0613
# pylint: disable=E1102
# pylint: disable=W0223
import shutil
from collections import defaultdict
import numpy as np
import pandas as pd
import torch
import torch.nn.functional as F
from sklearn.model_selection import train_test_split
from torch import nn
from torch.utils... | 32.289673 | 99 | 0.620095 | 1,548 | 12,819 | 4.917959 | 0.209302 | 0.034152 | 0.01839 | 0.012479 | 0.283068 | 0.23959 | 0.222777 | 0.183765 | 0.159333 | 0.121765 | 0 | 0.007908 | 0.279897 | 12,819 | 396 | 100 | 32.371212 | 0.816813 | 0.109993 | 0 | 0.135338 | 0 | 0.003759 | 0.088915 | 0.004875 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048872 | false | 0 | 0.06015 | 0.003759 | 0.146617 | 0.022556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bde8a8095cceac04979671e29124bd410698f7c | 3,716 | py | Python | src/toil/lib/aws/utils.py | rupertnash/toil | fd805d5fa14cca98f2bc64b322a4b546e163d6c9 | [
"Apache-2.0"
] | 6 | 2018-05-27T05:09:11.000Z | 2020-07-01T17:02:40.000Z | src/toil/lib/aws/utils.py | rupertnash/toil | fd805d5fa14cca98f2bc64b322a4b546e163d6c9 | [
"Apache-2.0"
] | 1 | 2020-07-01T18:31:30.000Z | 2020-07-08T14:03:39.000Z | src/toil/lib/aws/utils.py | rupertnash/toil | fd805d5fa14cca98f2bc64b322a4b546e163d6c9 | [
"Apache-2.0"
] | 1 | 2020-04-06T15:04:44.000Z | 2020-04-06T15:04:44.000Z | # Copyright (C) 2015-2021 Regents of the University of California
#
# 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 app... | 45.876543 | 110 | 0.741389 | 503 | 3,716 | 5.328032 | 0.28827 | 0.061567 | 0.026866 | 0.043284 | 0.254104 | 0.21903 | 0.180597 | 0.180597 | 0.15 | 0 | 0 | 0.007318 | 0.154198 | 3,716 | 80 | 111 | 46.45 | 0.845371 | 0.194295 | 0 | 0.115385 | 0 | 0 | 0.201277 | 0.038306 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.230769 | 0.192308 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bdeffb0d14dc1d4dca20f695831236be20df06b | 3,389 | py | Python | src/data/processed_data.py | Victoradukwu/titanic | 18a4e8fe7dbe755a946512ca71b1d2a2f5932c64 | [
"MIT"
] | null | null | null | src/data/processed_data.py | Victoradukwu/titanic | 18a4e8fe7dbe755a946512ca71b1d2a2f5932c64 | [
"MIT"
] | null | null | null | src/data/processed_data.py | Victoradukwu/titanic | 18a4e8fe7dbe755a946512ca71b1d2a2f5932c64 | [
"MIT"
] | null | null | null | import os
import numpy as np
import pandas as pd
def read_data():
raw_data_path = os.path.join(os.path.pardir, 'data', 'raw')
train_file_path = os.path.join(raw_data_path, 'train.csv')
test_file_path = os.path.join(raw_data_path, 'test.csv')
train_df = pd.read_csv(train_file_path, index_col = 'Pa... | 33.554455 | 130 | 0.59044 | 467 | 3,389 | 4.104925 | 0.284797 | 0.025039 | 0.031299 | 0.043818 | 0.238915 | 0.204486 | 0.204486 | 0.116849 | 0.086594 | 0.051122 | 0 | 0.010054 | 0.236943 | 3,389 | 100 | 131 | 33.89 | 0.731245 | 0.029212 | 0 | 0.064935 | 0 | 0 | 0.122679 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0.025974 | 0.038961 | 0.025974 | 0.194805 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6be02c0cdca45be2d0933fe3cbd070df05fee26e | 59,336 | py | Python | clustergrammer/upload_pages/clustergrammer_old.py | delosrogers/clustergrammer-web | 14102cfca328214d3bc8285e8331663fe0e5fad4 | [
"MIT"
] | 5 | 2018-04-04T16:25:06.000Z | 2021-04-10T23:47:20.000Z | clustergrammer/upload_pages/clustergrammer_old.py | delosrogers/clustergrammer-web | 14102cfca328214d3bc8285e8331663fe0e5fad4 | [
"MIT"
] | 8 | 2016-07-16T02:55:12.000Z | 2022-02-02T16:42:17.000Z | clustergrammer/upload_pages/clustergrammer_old.py | delosrogers/clustergrammer-web | 14102cfca328214d3bc8285e8331663fe0e5fad4 | [
"MIT"
] | 4 | 2019-05-28T08:52:41.000Z | 2021-01-11T22:14:48.000Z | # define a class for networks
class Network(object):
'''
Networks have two states: the data state where they are stored as: matrix and
nodes and a viz state where they are stored as: viz.links, viz.row_nodes, viz.
col_nodes.
The goal is to start in a data-state and produce a viz-state of the network
that... | 31.528162 | 130 | 0.603546 | 8,648 | 59,336 | 3.928885 | 0.056545 | 0.056656 | 0.029461 | 0.034877 | 0.601054 | 0.542279 | 0.497042 | 0.459605 | 0.423875 | 0.402625 | 0 | 0.005392 | 0.253017 | 59,336 | 1,882 | 131 | 31.528162 | 0.761185 | 0.217254 | 0 | 0.508351 | 0 | 0 | 0.11193 | 0 | 0.001044 | 0 | 0 | 0 | 0 | 1 | 0.041754 | false | 0 | 0.056367 | 0 | 0.11691 | 0.021921 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6be3f12ed534c88956efb0cde9bfba8da5449ad9 | 1,113 | py | Python | server/face_recogniser.py | fvalle1/ai_server | 0bbb2b842a329ca8bbeb6529a2008b61dcc77cc0 | [
"MIT"
] | 1 | 2021-03-10T15:37:21.000Z | 2021-03-10T15:37:21.000Z | server/face_recogniser.py | fvalle1/ai_server | 0bbb2b842a329ca8bbeb6529a2008b61dcc77cc0 | [
"MIT"
] | null | null | null | server/face_recogniser.py | fvalle1/ai_server | 0bbb2b842a329ca8bbeb6529a2008b61dcc77cc0 | [
"MIT"
] | null | null | null | import cv2 as cv
from model import model
class face_recogniser(model):
def __init__(self):
super()
self.net = cv.dnn.readNet('/home/pi/inception/face-detection-adas-0001.xml','/home/pi/inception/face-detection-adas-0001.bin')
self.net.setPreferableTarget(cv.dnn.DNN_TARGET_MYRIAD)
def a... | 39.75 | 134 | 0.615454 | 150 | 1,113 | 4.486667 | 0.5 | 0.041605 | 0.044577 | 0.056464 | 0.106984 | 0.106984 | 0.106984 | 0 | 0 | 0 | 0 | 0.040964 | 0.254268 | 1,113 | 27 | 135 | 41.222222 | 0.76988 | 0.070081 | 0 | 0 | 0 | 0 | 0.091085 | 0.091085 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.090909 | 0.045455 | 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 |
6be4827cb6db3797b4e0960a8f9afb82862b44ab | 2,783 | py | Python | tests/test_cpymadtools/test_generators.py | fsoubelet/PyhDToolk | aef9d5f1fac2d4c4307d50ba5c53f6a5eb635a66 | [
"MIT"
] | 5 | 2020-05-28T09:16:01.000Z | 2021-12-27T18:59:15.000Z | tests/test_cpymadtools/test_generators.py | fsoubelet/PyhDToolk | aef9d5f1fac2d4c4307d50ba5c53f6a5eb635a66 | [
"MIT"
] | 71 | 2020-02-20T20:32:43.000Z | 2022-03-24T17:04:28.000Z | tests/test_cpymadtools/test_generators.py | fsoubelet/PyhDToolk | aef9d5f1fac2d4c4307d50ba5c53f6a5eb635a66 | [
"MIT"
] | 2 | 2021-09-28T16:01:06.000Z | 2022-03-16T19:04:23.000Z | import random
import pytest
from pyhdtoolkit.cpymadtools.generators import LatticeGenerator
class TestLatticeGenerator:
def test_base_cas_lattice_generation(self):
base_cas_lattice = LatticeGenerator.generate_base_cas_lattice()
assert isinstance(base_cas_lattice, str)
assert len(base_cas... | 42.166667 | 100 | 0.680201 | 308 | 2,783 | 5.824675 | 0.201299 | 0.190635 | 0.06243 | 0.075808 | 0.389075 | 0.218506 | 0.181717 | 0.181717 | 0.181717 | 0.12709 | 0 | 0.037207 | 0.217751 | 2,783 | 65 | 101 | 42.815385 | 0.786863 | 0 | 0 | 0.25 | 0 | 0 | 0.06935 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0.107143 | false | 0 | 0.053571 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6be4e81e9d40d83f06f1cfa243fa8007e8370a2f | 1,789 | py | Python | preprocessing/act_bed_construction.py | shtoneyan/sea-lion | 7e1ce9a18a147eea42e6172a2329d696f6e6aef9 | [
"MIT"
] | 1 | 2022-02-10T21:21:32.000Z | 2022-02-10T21:21:32.000Z | preprocessing/act_bed_construction.py | shtoneyan/sea-lion | 7e1ce9a18a147eea42e6172a2329d696f6e6aef9 | [
"MIT"
] | null | null | null | preprocessing/act_bed_construction.py | shtoneyan/sea-lion | 7e1ce9a18a147eea42e6172a2329d696f6e6aef9 | [
"MIT"
] | null | null | null | import pandas as pd
import re
import sys
#read bed file
#constructure acitivity table
#output tfr file
def main():
bed_file = sys.argv[1]
act_table = sys.argv[2]
data = pd.read_csv(act_table,sep = '\t')
data.rename(columns={'Unnamed: 0':'loci'}, inplace=True)
chrom = [i.split(':')[... | 28.854839 | 66 | 0.567915 | 260 | 1,789 | 3.757692 | 0.296154 | 0.040942 | 0.061412 | 0.051177 | 0.188332 | 0.174002 | 0.126919 | 0.116684 | 0.116684 | 0.116684 | 0 | 0.013768 | 0.228619 | 1,789 | 61 | 67 | 29.327869 | 0.694203 | 0.196758 | 0 | 0 | 0 | 0 | 0.047619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.078947 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6be8cef9f2811735b313ed8611fa3362dad56bc1 | 2,072 | py | Python | aiserver/backup/simpleserver2.py | hirasaki1985/Oreilly_deepLearning | 378b60ccec67dc616669fcd65ad14c7eddae6767 | [
"MIT"
] | null | null | null | aiserver/backup/simpleserver2.py | hirasaki1985/Oreilly_deepLearning | 378b60ccec67dc616669fcd65ad14c7eddae6767 | [
"MIT"
] | null | null | null | aiserver/backup/simpleserver2.py | hirasaki1985/Oreilly_deepLearning | 378b60ccec67dc616669fcd65ad14c7eddae6767 | [
"MIT"
] | null | null | null | import sys, socket
import json
import cgi
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import numpy as np
from http.server import BaseHTTPRequestHandler, HTTPServer
from modules.controller import Controller
# setting
host = ''
port = 8000
class MyHandler(BaseHT... | 25.9 | 89 | 0.586873 | 200 | 2,072 | 6.035 | 0.465 | 0.042254 | 0.024855 | 0.044739 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005587 | 0.30888 | 2,072 | 79 | 90 | 26.227848 | 0.837291 | 0.074807 | 0 | 0.075472 | 0 | 0 | 0.145594 | 0.014778 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075472 | false | 0 | 0.169811 | 0 | 0.339623 | 0.150943 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bedb7df070733efc849ec3f70b009e7c5d82ea3 | 1,214 | py | Python | get_machine_id.py | Server-Factory/Parallels-Utils | 9b5c724b59832abf0506c5f632b0122573e71cd7 | [
"Apache-2.0"
] | 1 | 2021-01-01T23:24:31.000Z | 2021-01-01T23:24:31.000Z | get_machine_id.py | Server-Factory/Parallels-Utils | 9b5c724b59832abf0506c5f632b0122573e71cd7 | [
"Apache-2.0"
] | null | null | null | get_machine_id.py | Server-Factory/Parallels-Utils | 9b5c724b59832abf0506c5f632b0122573e71cd7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import subprocess
import sys
def main():
if len(sys.argv) > 1:
machines = dict()
image = sys.argv[1]
row_home = "Home:"
row_id_open = "{"
row_id_close = "}"
output = subprocess.check_output(['prlctl', 'list', '-a', '-i'])
items = str(output... | 28.904762 | 99 | 0.490939 | 142 | 1,214 | 3.971831 | 0.338028 | 0.053191 | 0.047872 | 0.039007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006684 | 0.383855 | 1,214 | 41 | 100 | 29.609756 | 0.747326 | 0.01318 | 0 | 0.058824 | 0 | 0 | 0.055973 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0 | 0.058824 | 0 | 0.088235 | 0.088235 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bf3a11f4eaf5ef256dd41b159fcdf1ed04aaca8 | 12,158 | py | Python | transform/preprocess/student_preprocess.py | WillianFuks/papis19 | 479c5460218c8f02716dbd5c2b0b9121a4328ab0 | [
"Apache-2.0"
] | 4 | 2019-06-24T13:20:22.000Z | 2020-11-12T01:19:02.000Z | transform/preprocess/student_preprocess.py | WillianFuks/papis19 | 479c5460218c8f02716dbd5c2b0b9121a4328ab0 | [
"Apache-2.0"
] | 7 | 2019-12-16T21:55:20.000Z | 2022-02-10T00:16:54.000Z | transform/preprocess/student_preprocess.py | WillianFuks/papis19 | 479c5460218c8f02716dbd5c2b0b9121a4328ab0 | [
"Apache-2.0"
] | 8 | 2019-06-24T12:27:51.000Z | 2021-04-20T18:33:24.000Z | # Copyright 2019 Willian Fuks
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 31.661458 | 89 | 0.618358 | 1,450 | 12,158 | 4.991034 | 0.230345 | 0.017963 | 0.02128 | 0.015476 | 0.148404 | 0.11151 | 0.086638 | 0.07434 | 0.063562 | 0.052784 | 0 | 0.003408 | 0.276032 | 12,158 | 383 | 90 | 31.744125 | 0.818791 | 0.246833 | 0 | 0.122642 | 0 | 0 | 0.113934 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066038 | false | 0 | 0.084906 | 0.004717 | 0.207547 | 0.004717 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bf66439de1fb3ae4352db93cc562648f32d838f | 751 | py | Python | leetcode/p690.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | leetcode/p690.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | leetcode/p690.py | mythnc/lab | 9f69482a063e3cfce2ce8832c2ef1425658c31b9 | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/employee-importance/
"""
# Definition for Employee.
class Employee:
def __init__(self, id: int, importance: int, subordinates: List[int]):
self.id = id
self.importance = importance
self.subordinates = subordinates
"""
class Solution:
def getImportance(sel... | 28.884615 | 74 | 0.559254 | 82 | 751 | 5.036585 | 0.378049 | 0.067797 | 0.062954 | 0.11138 | 0.239709 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001961 | 0.320905 | 751 | 25 | 75 | 30.04 | 0.807843 | 0.356858 | 0 | 0 | 0 | 0 | 0.016842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.214286 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6bf727625ea059c4f0a7f91f758f96269dcdd254 | 3,916 | py | Python | python/ranking/examples/fess/train_model.py | codelibs/logana | 48b475e9fd5224821bfba7d41e755d8d64806651 | [
"Apache-2.0"
] | 2 | 2020-09-30T12:42:28.000Z | 2020-11-04T01:34:20.000Z | python/ranking/examples/fess/train_model.py | codelibs/logana | 48b475e9fd5224821bfba7d41e755d8d64806651 | [
"Apache-2.0"
] | null | null | null | python/ranking/examples/fess/train_model.py | codelibs/logana | 48b475e9fd5224821bfba7d41e755d8d64806651 | [
"Apache-2.0"
] | null | null | null | import dataclasses
import datetime
import gzip
import json
import logging
import os
from typing import Any, Dict
import numpy as np
import tensorflow as tf
from absl import flags
from loganary.ranking.common import NumpyJsonEncoder, setup_logging, setup_seed
from loganary.ranking.model import (
RankingModel,
R... | 34.350877 | 87 | 0.671348 | 484 | 3,916 | 5.163223 | 0.293388 | 0.066026 | 0.043217 | 0.028011 | 0.186074 | 0.123249 | 0.080032 | 0.031212 | 0 | 0 | 0 | 0.009785 | 0.217058 | 3,916 | 113 | 88 | 34.654867 | 0.805284 | 0 | 0 | 0.088235 | 0 | 0 | 0.223442 | 0.025536 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009804 | false | 0 | 0.117647 | 0 | 0.127451 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d40116f3963560e5bc86c79d514d9d85b3020138 | 22,630 | py | Python | build-fortress.py | DFIRmadness/infosec-fortress | cc20c5c5ecf5194fdd270e7accdf927b71ed2952 | [
"MIT"
] | 33 | 2021-06-22T01:42:06.000Z | 2022-03-27T14:41:44.000Z | build-fortress.py | ED-209-MK7/infosec-fortress | cc20c5c5ecf5194fdd270e7accdf927b71ed2952 | [
"MIT"
] | 1 | 2021-06-24T09:10:03.000Z | 2021-06-28T13:25:59.000Z | build-fortress.py | ED-209-MK7/infosec-fortress | cc20c5c5ecf5194fdd270e7accdf927b71ed2952 | [
"MIT"
] | 5 | 2021-06-23T08:04:22.000Z | 2022-03-27T14:41:45.000Z | #!/bin/python3
'''
Title: build-fortress.py
Purpose: Build the infosec-fortress
Author: James Smith (DFIRmadness)
Contributors: Check the github page.
Notes: Beta
Version: 0.5
Usage: ./build-fortress.py
Functions:
+ apt update
+ dist upgrade
+ install base packages
+ create /opt/infosec-fortress
+ start log
+ install ... | 40.996377 | 210 | 0.644057 | 2,677 | 22,630 | 5.428838 | 0.220022 | 0.021056 | 0.027868 | 0.035918 | 0.369573 | 0.328287 | 0.25824 | 0.1895 | 0.163628 | 0.121861 | 0 | 0.005682 | 0.198939 | 22,630 | 551 | 211 | 41.07078 | 0.796006 | 0.136677 | 0 | 0.26699 | 0 | 0.046117 | 0.376436 | 0.050796 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082524 | false | 0.002427 | 0.021845 | 0 | 0.116505 | 0.043689 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4051d0a2b00e9998b74b852734dd381524320f3 | 955 | py | Python | substance/constants.py | philraj/substance | c68c8343e22fd2ac1e83b7567140c2a20f417984 | [
"Apache-2.0"
] | null | null | null | substance/constants.py | philraj/substance | c68c8343e22fd2ac1e83b7567140c2a20f417984 | [
"Apache-2.0"
] | null | null | null | substance/constants.py | philraj/substance | c68c8343e22fd2ac1e83b7567140c2a20f417984 | [
"Apache-2.0"
] | null | null | null |
class Constants(object):
class ConstError(TypeError):
pass
def __init__(self, **kwargs):
for name, value in list(kwargs.items()):
super(Constants, self).__setattr__(name, value)
def __setattr__(self, name, value):
if name in self.__dist__:
raise self.Const... | 20.76087 | 66 | 0.618848 | 102 | 955 | 5.519608 | 0.509804 | 0.063943 | 0.042629 | 0.042629 | 0.081705 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00277 | 0.243979 | 955 | 45 | 67 | 21.222222 | 0.777008 | 0 | 0 | 0 | 0 | 0 | 0.150943 | 0.028302 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0.029412 | 0 | 0 | 0.147059 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4051f0da6a3085bed81c035499b45d737816f30 | 12,482 | py | Python | scripts/identify_taxonomic_trees.py | AtilioA/wikidata-evaluation-based-on-ontologies | b726cc40a80312e92e7aa42fc24f1eee21bc40be | [
"Unlicense"
] | 2 | 2020-12-06T21:57:36.000Z | 2020-12-11T16:07:00.000Z | scripts/identify_taxonomic_trees.py | AtilioA/wikidata-evaluation-based-on-ontologies | b726cc40a80312e92e7aa42fc24f1eee21bc40be | [
"Unlicense"
] | null | null | null | scripts/identify_taxonomic_trees.py | AtilioA/wikidata-evaluation-based-on-ontologies | b726cc40a80312e92e7aa42fc24f1eee21bc40be | [
"Unlicense"
] | null | null | null | import time
import json
import sys
from pathlib import Path
from pprint import pprint
import wikidata_utils
from graphviz import Digraph
NL = "\n"
def find_subclasses_between(subclass, superclass):
# Query Stardog for subclasses
subclassesJSON = wikidata_utils.query_subclasses_stardog(superclass, subclass)[... | 37.371257 | 174 | 0.539337 | 1,098 | 12,482 | 6.068306 | 0.250455 | 0.012607 | 0.010506 | 0.016809 | 0.199009 | 0.153084 | 0.123668 | 0.123668 | 0.10866 | 0.070839 | 0 | 0.011031 | 0.375421 | 12,482 | 333 | 175 | 37.483483 | 0.843638 | 0.162875 | 0 | 0.284483 | 0 | 0.008621 | 0.194041 | 0.072177 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017241 | false | 0.034483 | 0.030172 | 0 | 0.060345 | 0.077586 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4064fd610eae924f03892b2d599dd0687c7269d | 913 | py | Python | dist/weewx-4.0.0b5/bin/weewx/junk.py | v0rts/docker-weewx | 70b2f252051dfead4fcb74e74662b297831e6342 | [
"Apache-2.0"
] | 10 | 2017-01-05T17:30:48.000Z | 2021-09-18T15:04:20.000Z | dist/weewx-4.0.0b5/bin/weewx/junk.py | v0rts/docker-weewx | 70b2f252051dfead4fcb74e74662b297831e6342 | [
"Apache-2.0"
] | 2 | 2019-07-21T10:48:42.000Z | 2022-02-16T20:36:45.000Z | dist/weewx-4.0.0b5/bin/weewx/junk.py | v0rts/docker-weewx | 70b2f252051dfead4fcb74e74662b297831e6342 | [
"Apache-2.0"
] | 12 | 2017-01-05T18:50:30.000Z | 2021-10-05T07:35:45.000Z | import weewx
class MyTypes(object):
def get_value(self, obs_type, record, db_manager):
if obs_type == 'dewpoint':
if record['usUnits'] == weewx.US:
return weewx.wxformulas.dewpointF(record.get('outTemp'), record.get('outHumidity'))
elif record['usUnits'] == weewx.... | 32.607143 | 99 | 0.591457 | 97 | 913 | 5.443299 | 0.463918 | 0.079545 | 0.102273 | 0.083333 | 0.257576 | 0.257576 | 0 | 0 | 0 | 0 | 0 | 0 | 0.292443 | 913 | 28 | 100 | 32.607143 | 0.817337 | 0 | 0 | 0.25 | 0 | 0 | 0.11488 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.05 | 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 |
d407929c4b0bf64d15071879c336b090bd7b4eb9 | 1,580 | py | Python | vision_api_batch.py | swowko51/pfch_humanvsmachine_2019 | ba5a4c0db804e62892a28c72ba2d2180c6e44282 | [
"MIT"
] | null | null | null | vision_api_batch.py | swowko51/pfch_humanvsmachine_2019 | ba5a4c0db804e62892a28c72ba2d2180c6e44282 | [
"MIT"
] | null | null | null | vision_api_batch.py | swowko51/pfch_humanvsmachine_2019 | ba5a4c0db804e62892a28c72ba2d2180c6e44282 | [
"MIT"
] | null | null | null | import io
import os
import pandas as pd
import re
# Imports the Google Cloud client library
from google.cloud import vision
from google.cloud.vision import types
# Set Google API authentication
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = "INSERT_FULL_KEY_FILE_PATH"
# ---------------------------------------------... | 28.727273 | 85 | 0.73038 | 215 | 1,580 | 5.302326 | 0.469767 | 0.028947 | 0.026316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002214 | 0.142405 | 1,580 | 54 | 86 | 29.259259 | 0.839114 | 0.393671 | 0 | 0 | 0 | 0 | 0.119403 | 0.083156 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d407d7b9d817bbd5e0d8ab001619f9db240a997f | 1,556 | py | Python | examples/ElasticsearchDomain.py | hmain/troposphere-fork | 815ee739bcf3d024e1aef5caeca4e4d63e85e98e | [
"BSD-2-Clause"
] | null | null | null | examples/ElasticsearchDomain.py | hmain/troposphere-fork | 815ee739bcf3d024e1aef5caeca4e4d63e85e98e | [
"BSD-2-Clause"
] | null | null | null | examples/ElasticsearchDomain.py | hmain/troposphere-fork | 815ee739bcf3d024e1aef5caeca4e4d63e85e98e | [
"BSD-2-Clause"
] | null | null | null | # Converted from Elasticsearch Domain example located at:
# http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-elasticsearch-domain.html#d0e51519
from troposphere import Template, constants
from troposphere.elasticsearch import Domain, EBSOptions
from troposphere.elasticsearch import Elasticsea... | 36.186047 | 111 | 0.633676 | 118 | 1,556 | 8.271186 | 0.584746 | 0.061475 | 0.086066 | 0.104508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020318 | 0.272494 | 1,556 | 42 | 112 | 37.047619 | 0.841873 | 0.105398 | 0 | 0 | 0 | 0 | 0.134726 | 0.04611 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d409f34383374dd7cd26218ce4cee29f4ca7b7c0 | 3,917 | py | Python | footprint/models/audio.py | arthurtofani/footprint | 572401d4cba3299ae9915fca2a7d08ea1a3a9bc4 | [
"MIT"
] | null | null | null | footprint/models/audio.py | arthurtofani/footprint | 572401d4cba3299ae9915fca2a7d08ea1a3a9bc4 | [
"MIT"
] | null | null | null | footprint/models/audio.py | arthurtofani/footprint | 572401d4cba3299ae9915fca2a7d08ea1a3a9bc4 | [
"MIT"
] | null | null | null | from collections import defaultdict
import librosa
import os
import numpy as np
import h5py
class Audio:
filename = None
project = None
bucket = None
tempo = None
beats = None
features = None
tokens = None
loaded_from_cache = False
has_changed = False
def __init__(self, filename, project):
sel... | 29.900763 | 76 | 0.693643 | 570 | 3,917 | 4.5 | 0.135088 | 0.054581 | 0.079532 | 0.037427 | 0.40117 | 0.316179 | 0.263938 | 0.115789 | 0.083821 | 0 | 0 | 0.002528 | 0.191984 | 3,917 | 130 | 77 | 30.130769 | 0.807899 | 0 | 0 | 0.165138 | 0 | 0 | 0.045698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.183486 | false | 0 | 0.045872 | 0.027523 | 0.412844 | 0.045872 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d40a02528d58fe92a0117b78210b7cc191ea3776 | 2,634 | py | Python | src/solr.py | ielm/CSCI6964 | 5ab46ea68d9a1bf6192a2f3cbae0acea0e3696c8 | [
"MIT"
] | null | null | null | src/solr.py | ielm/CSCI6964 | 5ab46ea68d9a1bf6192a2f3cbae0acea0e3696c8 | [
"MIT"
] | null | null | null | src/solr.py | ielm/CSCI6964 | 5ab46ea68d9a1bf6192a2f3cbae0acea0e3696c8 | [
"MIT"
] | null | null | null | import json
import os
import urllib.request, urllib.parse
from collections import OrderedDict
from typing import List, Union, Dict
class SOLR:
"""
Wrapper for the SOLR retrieval engine.
"""
def __init__(
self,
host: str = "localhost",
port: int = 8983,
cookie: dict = ... | 27.154639 | 85 | 0.509112 | 296 | 2,634 | 4.415541 | 0.290541 | 0.06886 | 0.038256 | 0.057383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012063 | 0.370539 | 2,634 | 96 | 86 | 27.4375 | 0.776236 | 0.014427 | 0 | 0.054054 | 0 | 0 | 0.14186 | 0.022868 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.067568 | 0 | 0.175676 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d40bd0e8a76f18b193a91aefda5569f8c67d163b | 3,773 | py | Python | modules/slack.py | KTH/Jan-Ove | 661acf5843b7b6dd459b0dddd64cffe27840e3c8 | [
"MIT"
] | null | null | null | modules/slack.py | KTH/Jan-Ove | 661acf5843b7b6dd459b0dddd64cffe27840e3c8 | [
"MIT"
] | null | null | null | modules/slack.py | KTH/Jan-Ove | 661acf5843b7b6dd459b0dddd64cffe27840e3c8 | [
"MIT"
] | null | null | null | __author__ = 'tinglev@kth.se'
import os
import re
import logging
from slackclient import SlackClient
def init():
#global CLIENT, BOT_ID
log = logging.getLogger(__name__)
client = SlackClient(os.environ.get('SLACK_BOT_TOKEN'))
auth_test = client.api_call("auth.test")
log.debug('Auth test response: ... | 31.974576 | 82 | 0.655712 | 511 | 3,773 | 4.594912 | 0.213307 | 0.0477 | 0.072828 | 0.08816 | 0.286201 | 0.212095 | 0.197189 | 0.169506 | 0.132879 | 0.053663 | 0 | 0.002377 | 0.219454 | 3,773 | 117 | 83 | 32.247863 | 0.794907 | 0.017758 | 0 | 0.257426 | 0 | 0 | 0.171166 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128713 | false | 0 | 0.039604 | 0.019802 | 0.316832 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d40cd5794c364cbfbd47cd7ffe66063081da15e8 | 952 | py | Python | gitconfig_parser/parser.py | seanfisk/gitconfig-parser | f747a4263bdd7fc4ffd6b6a0fe34ef7cf7e935a8 | [
"MIT"
] | null | null | null | gitconfig_parser/parser.py | seanfisk/gitconfig-parser | f747a4263bdd7fc4ffd6b6a0fe34ef7cf7e935a8 | [
"MIT"
] | null | null | null | gitconfig_parser/parser.py | seanfisk/gitconfig-parser | f747a4263bdd7fc4ffd6b6a0fe34ef7cf7e935a8 | [
"MIT"
] | 2 | 2019-03-07T04:55:29.000Z | 2019-03-28T00:59:55.000Z | """:mod:`gitconfig_parser.parser` -- Parser implementation
"""
from pyparsing import (
OneOrMore, restOfLine, Group, ZeroOrMore,
CharsNotIn, Suppress, Word, alphanums, Literal, pythonStyleComment)
def build_parser():
key = Word(alphanums).setResultsName('key')
value = restOfLine.setParseAction(
... | 35.259259 | 73 | 0.697479 | 91 | 952 | 7.153846 | 0.472527 | 0.032258 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001259 | 0.165966 | 952 | 26 | 74 | 36.615385 | 0.81864 | 0.057773 | 0 | 0 | 0 | 0 | 0.041573 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.052632 | 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 |
d40d751818208fbb5ac12dea45e5d857cfe9c460 | 1,641 | py | Python | chroma-manager/tests/unit/chroma_api/test_command.py | GarimaVishvakarma/intel-chroma | fdf68ed00b13643c62eb7480754d3216d9295e0b | [
"MIT"
] | null | null | null | chroma-manager/tests/unit/chroma_api/test_command.py | GarimaVishvakarma/intel-chroma | fdf68ed00b13643c62eb7480754d3216d9295e0b | [
"MIT"
] | null | null | null | chroma-manager/tests/unit/chroma_api/test_command.py | GarimaVishvakarma/intel-chroma | fdf68ed00b13643c62eb7480754d3216d9295e0b | [
"MIT"
] | null | null | null |
from chroma_core.models import Command
from chroma_core.models.host import ManagedHost
from chroma_core.services.job_scheduler.job_scheduler_client import JobSchedulerClient
import mock
from tests.unit.chroma_api.chroma_api_test_case import ChromaApiTestCase
class TestCommandResource(ChromaApiTestCase):
def test... | 42.076923 | 154 | 0.604509 | 184 | 1,641 | 5.201087 | 0.472826 | 0.041797 | 0.043887 | 0.041797 | 0.100313 | 0.100313 | 0.100313 | 0.100313 | 0 | 0 | 0 | 0.004325 | 0.295551 | 1,641 | 38 | 155 | 43.184211 | 0.823529 | 0.081048 | 0 | 0 | 0 | 0 | 0.149364 | 0.060951 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.033333 | false | 0 | 0.2 | 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 |
d40e05ca54d2f05415844295db6aa87aa4fcad8b | 743 | py | Python | tps/problems/forms/export.py | akmohtashami/tps-web | 9dab3ffe97c21f658be30ce2f2711dd93e4ba60f | [
"MIT"
] | 5 | 2019-02-26T06:10:43.000Z | 2021-07-24T17:11:45.000Z | tps/problems/forms/export.py | akmohtashami/tps-web | 9dab3ffe97c21f658be30ce2f2711dd93e4ba60f | [
"MIT"
] | 3 | 2019-08-15T13:56:03.000Z | 2021-06-10T18:43:16.000Z | tps/problems/forms/export.py | jonathanirvings/tps-web | 46519347d4fc8bdced9b5bceb6cdee5ea4e508f2 | [
"MIT"
] | 2 | 2018-12-28T13:12:59.000Z | 2020-12-25T18:42:13.000Z | from django import forms
from problems.models import ExportPackage
class ExportForm(forms.ModelForm):
class Meta:
model = ExportPackage
fields = ('exporter', 'export_format',)
def __init__(self, *args, **kwargs):
self.problem = kwargs.pop('problem')
self.revision = kwargs.pop... | 30.958333 | 67 | 0.664872 | 83 | 743 | 5.746988 | 0.39759 | 0.163522 | 0.079665 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.224764 | 743 | 23 | 68 | 32.304348 | 0.828125 | 0 | 0 | 0 | 0 | 0 | 0.053836 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.388889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4112f52a0cbfaf422eb8c4063d5420c3f79065c | 851 | py | Python | presenterServer.py | eliahvo/presenter-app | 9d5b90e15590316b1c769b94d1d88f62ea594f7e | [
"MIT"
] | null | null | null | presenterServer.py | eliahvo/presenter-app | 9d5b90e15590316b1c769b94d1d88f62ea594f7e | [
"MIT"
] | null | null | null | presenterServer.py | eliahvo/presenter-app | 9d5b90e15590316b1c769b94d1d88f62ea594f7e | [
"MIT"
] | null | null | null | import socket
import sys
from pynput.keyboard import Key, Controller
import time
TCP_IP = sys.argv[1]
TCP_PORT = 5005
BUFFER_SIZE = 20 # Normally 1024, but we want fast response
keyboard = Controller()
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((TCP_IP, TCP_PORT))
s.listen(1)
print("Server: ", TC... | 19.790698 | 60 | 0.690952 | 124 | 851 | 4.693548 | 0.532258 | 0.025773 | 0.054983 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018519 | 0.175088 | 851 | 43 | 61 | 19.790698 | 0.806268 | 0.07168 | 0 | 0.060606 | 0 | 0 | 0.125794 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.121212 | 0 | 0.121212 | 0.151515 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4137fb795db6c1885430d3738fc61716e37a474 | 3,226 | py | Python | newserver/server.py | packedbread/hack.moscow | d00aeabd5b46d1c95990e181cb08895e9a4e2ff7 | [
"MIT"
] | null | null | null | newserver/server.py | packedbread/hack.moscow | d00aeabd5b46d1c95990e181cb08895e9a4e2ff7 | [
"MIT"
] | 2 | 2021-03-09T22:13:16.000Z | 2021-05-10T18:42:36.000Z | newserver/server.py | packedbread/hack.moscow | d00aeabd5b46d1c95990e181cb08895e9a4e2ff7 | [
"MIT"
] | null | null | null | from concurrent.futures import ProcessPoolExecutor
from storage import ClientStorage
from aiohttp import web, hdrs
import aiofiles
import tempfile
import asyncio
import logging
import shutil
import os
MAX_FILE_SIZE = 20 * 1024 * 1024
PROCESS_POOL_SIZE = 8
STATIC_PATH = '../client/dist'
TEMP_PATH = 'temp'
logger = log... | 27.810345 | 85 | 0.6646 | 404 | 3,226 | 5.180693 | 0.376238 | 0.0258 | 0.032489 | 0.032967 | 0.077879 | 0.053034 | 0 | 0 | 0 | 0 | 0 | 0.011399 | 0.211407 | 3,226 | 115 | 86 | 28.052174 | 0.811321 | 0.040918 | 0 | 0.023256 | 0 | 0 | 0.096889 | 0.009397 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.104651 | 0 | 0.151163 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d414c13a693261e067977fffbcfd18adb9931eb1 | 881 | py | Python | src/adafruit-circuitpython-bundle-4.x-mpy-20190713/examples/miniesptool_esp32nina.py | mbaaba/solar_panel | 42059d8c61320494ad1298065dbc50cd9b3bd51e | [
"MIT"
] | 1 | 2020-04-13T16:10:53.000Z | 2020-04-13T16:10:53.000Z | infra/libs-400rc2-20190512/examples/miniesptool_esp32nina.py | jadudm/feather-isa | b7419e6698c3f64be4d8122656eb8124631ca859 | [
"MIT"
] | null | null | null | infra/libs-400rc2-20190512/examples/miniesptool_esp32nina.py | jadudm/feather-isa | b7419e6698c3f64be4d8122656eb8124631ca859 | [
"MIT"
] | null | null | null | import time
import board
import busio
from digitalio import DigitalInOut, Direction # pylint: disable=unused-import
import adafruit_miniesptool
print("ESP32 Nina-FW")
uart = busio.UART(board.TX, board.RX, baudrate=115200, timeout=1)
resetpin = DigitalInOut(board.D5)
gpio0pin = DigitalInOut(board.D6)
espt... | 30.37931 | 81 | 0.708286 | 116 | 881 | 5.318966 | 0.612069 | 0.061588 | 0.048622 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080111 | 0.178207 | 881 | 28 | 82 | 31.464286 | 0.772099 | 0.098751 | 0 | 0 | 0 | 0 | 0.158585 | 0.04194 | 0 | 0 | 0.003932 | 0 | 0 | 1 | 0 | false | 0 | 0.238095 | 0 | 0.238095 | 0.190476 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d418716dae9acd4334a9f34e0f2074dd64298ebb | 451 | py | Python | sqlalchemy/test_delete.py | WebSofter/lessnor | f5843a29f443126d30955a2fe4e7f3cadb216ad8 | [
"MIT"
] | null | null | null | sqlalchemy/test_delete.py | WebSofter/lessnor | f5843a29f443126d30955a2fe4e7f3cadb216ad8 | [
"MIT"
] | null | null | null | sqlalchemy/test_delete.py | WebSofter/lessnor | f5843a29f443126d30955a2fe4e7f3cadb216ad8 | [
"MIT"
] | null | null | null | #Import our configuration functions
from models import Film
from config import get_session
#Get instances for working with DB
session = get_session()
#***********************Working with db********************
#Update spcify row v1
film = session.query(Film).filter(Film.id == 3).one()
session.delete(film)
session.co... | 25.055556 | 61 | 0.687361 | 63 | 451 | 4.809524 | 0.555556 | 0.066007 | 0.085809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014925 | 0.108647 | 451 | 18 | 62 | 25.055556 | 0.738806 | 0.365854 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d41946ca90fe6073895898eb60b2f62a025bcdcd | 1,045 | py | Python | kakakucom-scrape/recover.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 16 | 2018-02-06T14:43:41.000Z | 2021-01-23T05:07:33.000Z | kakakucom-scrape/recover.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | null | null | null | kakakucom-scrape/recover.py | GINK03/itmedia-scraping | 5afbe06dd0aa12db1694a2b387aa2eeafb20e981 | [
"MIT"
] | 4 | 2018-01-16T13:50:43.000Z | 2019-12-16T19:45:54.000Z | import glob
import json
import pickle
import gzip
import os
import hashlib
import re
import bs4
import concurrent.futures
names = set([name.split('/').pop() for name in glob.glob('hrefs/*')])
size = len(names)
def _map(arg):
urls = set()
index, size, name = arg
print(index, '/', size, name)
try:
h... | 20.9 | 71 | 0.639234 | 159 | 1,045 | 4.157233 | 0.490566 | 0.040847 | 0.059002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005862 | 0.183732 | 1,045 | 49 | 72 | 21.326531 | 0.76905 | 0.010526 | 0 | 0.055556 | 0 | 0 | 0.066796 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0 | 0.25 | 0 | 0.333333 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d41ba959656db47ebcf8cbb11038ffe513c678ca | 7,339 | py | Python | scrounger/core/session.py | NORD-Function/IOS-tools | dd393666aa1ba1117d1c472cfdef4d0b18216904 | [
"BSD-3-Clause"
] | 217 | 2018-08-23T12:00:45.000Z | 2022-01-20T12:09:09.000Z | scrounger/core/session.py | Warlockk/scrounger | dd393666aa1ba1117d1c472cfdef4d0b18216904 | [
"BSD-3-Clause"
] | 18 | 2018-08-24T09:28:54.000Z | 2020-05-19T04:49:54.000Z | scrounger/core/session.py | Warlockk/scrounger | dd393666aa1ba1117d1c472cfdef4d0b18216904 | [
"BSD-3-Clause"
] | 48 | 2018-08-23T12:51:45.000Z | 2022-01-20T12:09:02.000Z | """
Module that holds all information of a session of scrounger
"""
# custom module imports
from sys import path as _path
# config imports
from scrounger.utils.config import _SCROUNGER_HOME
class Session(object):
_name = ""
_rows, _columns = 128, 80
options = {}
global_options = ... | 28.55642 | 80 | 0.571331 | 797 | 7,339 | 5.077792 | 0.188206 | 0.044477 | 0.033358 | 0.020756 | 0.241166 | 0.193971 | 0.193971 | 0.193971 | 0.157153 | 0.157153 | 0 | 0.002632 | 0.326884 | 7,339 | 256 | 81 | 28.667969 | 0.816599 | 0.180951 | 0 | 0.170068 | 0 | 0 | 0.067341 | 0 | 0 | 0 | 0 | 0.003906 | 0 | 1 | 0.081633 | false | 0 | 0.07483 | 0.006803 | 0.312925 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d41d1b57c833f3f45020982a1362ffc5bb62328a | 8,703 | py | Python | deepmath/treegen/cnf_model_test.py | LaudateCorpus1/deepmath | b5b721f54de1d5d6a02d78f5da5995237f9995f9 | [
"Apache-2.0"
] | 830 | 2016-11-07T21:46:27.000Z | 2022-03-23T08:01:03.000Z | deepmath/treegen/cnf_model_test.py | LaudateCorpus1/deepmath | b5b721f54de1d5d6a02d78f5da5995237f9995f9 | [
"Apache-2.0"
] | 26 | 2016-11-07T22:06:31.000Z | 2022-02-16T00:18:29.000Z | deepmath/treegen/cnf_model_test.py | LaudateCorpus1/deepmath | b5b721f54de1d5d6a02d78f5da5995237f9995f9 | [
"Apache-2.0"
] | 168 | 2016-11-07T21:48:55.000Z | 2022-03-19T02:47:14.000Z | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 42.871921 | 80 | 0.649087 | 1,005 | 8,703 | 5.316418 | 0.20597 | 0.041924 | 0.04941 | 0.061763 | 0.618566 | 0.615759 | 0.579075 | 0.537339 | 0.529478 | 0.467153 | 0 | 0.025963 | 0.167988 | 8,703 | 202 | 81 | 43.084158 | 0.711918 | 0.091693 | 0 | 0.5 | 0 | 0 | 0.153846 | 0.14762 | 0 | 0 | 0 | 0 | 0 | 1 | 0.177966 | false | 0 | 0.059322 | 0 | 0.262712 | 0.008475 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d41dac3657c44fb744404a9ec259d063e17765ee | 3,905 | py | Python | codes/utils.py | k1101jh/Alpha-Zero | f2a83f430f186ad0633e38baa31c2a042e1305b6 | [
"Apache-2.0"
] | 1 | 2021-11-12T13:36:47.000Z | 2021-11-12T13:36:47.000Z | codes/utils.py | k1101jh/Alpha-Zero | f2a83f430f186ad0633e38baa31c2a042e1305b6 | [
"Apache-2.0"
] | null | null | null | codes/utils.py | k1101jh/Alpha-Zero | f2a83f430f186ad0633e38baa31c2a042e1305b6 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import sys
import io
import importlib
import math
from typing import Dict, Iterable, List, Optional, Tuple
from games.game_types import Move, Player
from games.game_types import Point
from games.game_types import game_name_dict
from games.game_types import game_state_dict
sys.stdout ... | 29.583333 | 103 | 0.628169 | 556 | 3,905 | 4.235612 | 0.232014 | 0.061147 | 0.029724 | 0.036093 | 0.22845 | 0.164756 | 0.140977 | 0.121444 | 0.121444 | 0.121444 | 0 | 0.008317 | 0.230218 | 3,905 | 131 | 104 | 29.80916 | 0.773453 | 0.044558 | 0 | 0.206522 | 0 | 0 | 0.080898 | 0.056006 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0.021739 | 0.130435 | 0 | 0.336957 | 0.163043 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d41fccb7523d2734e1207ea00040f62a02a41e0c | 1,545 | py | Python | obdlib/uart.py | s-s-boika/obdlib | 5b0b35276575a522d20858b6993a9bebf0acc968 | [
"MIT"
] | 9 | 2015-07-14T07:15:58.000Z | 2021-06-03T01:42:19.000Z | obdlib/uart.py | s-s-boika/obdlib | 5b0b35276575a522d20858b6993a9bebf0acc968 | [
"MIT"
] | null | null | null | obdlib/uart.py | s-s-boika/obdlib | 5b0b35276575a522d20858b6993a9bebf0acc968 | [
"MIT"
] | 4 | 2015-07-15T09:05:46.000Z | 2022-02-06T04:28:53.000Z | DEFAULT_BAUDRATE = 38400
import sys
if (hasattr(sys, 'implementation') and
sys.implementation.name == 'micropython'):
# if using pyBoard
from pyb import UART as uart_base
else:
from serial import Serial as uart_base
from obdlib.logging import logger
class UART(object):
def __init__(self)... | 27.105263 | 77 | 0.55534 | 160 | 1,545 | 5.1875 | 0.36875 | 0.050602 | 0.050602 | 0.043373 | 0.06747 | 0.06747 | 0 | 0 | 0 | 0 | 0 | 0.004946 | 0.345631 | 1,545 | 56 | 78 | 27.589286 | 0.816024 | 0.022006 | 0 | 0.068182 | 0 | 0 | 0.06366 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.136364 | false | 0 | 0.090909 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d423ccff923c193b1018a53c447911773c46989d | 1,352 | py | Python | 4-gen_diffs.py | lcmd-epfl/Local_Kernel_Regression | 5be1b01fb347a8b8473ffe62a2f2d1fe2c1c4157 | [
"MIT"
] | null | null | null | 4-gen_diffs.py | lcmd-epfl/Local_Kernel_Regression | 5be1b01fb347a8b8473ffe62a2f2d1fe2c1c4157 | [
"MIT"
] | null | null | null | 4-gen_diffs.py | lcmd-epfl/Local_Kernel_Regression | 5be1b01fb347a8b8473ffe62a2f2d1fe2c1c4157 | [
"MIT"
] | null | null | null | import numpy as np
import time
import sklearn as sk
from sklearn import metrics
import gc
import sys
import pickle
init_t = time.time()
at = sys.argv[1]
ref_envs = np.load('./data/train_envs.npy',
allow_pickle=True).item()[at]
reps_dict = np.load('./data/red_reps_dict.npy', allow_pickle=True)
at... | 22.163934 | 79 | 0.623521 | 207 | 1,352 | 3.874396 | 0.338164 | 0.069825 | 0.037406 | 0.067332 | 0.225686 | 0.190773 | 0.190773 | 0.190773 | 0.190773 | 0.190773 | 0 | 0.011246 | 0.210799 | 1,352 | 60 | 80 | 22.533333 | 0.740394 | 0 | 0 | 0.157895 | 0 | 0 | 0.189349 | 0.109467 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.184211 | 0 | 0.184211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d426fe625d6ef6fff91e3cb4328137b87944afc4 | 6,540 | py | Python | crypto.py | aivalja/Crypto-Scrooge | 98fb08f3eb1008de66e02b30a70f6e772c095a48 | [
"MIT"
] | null | null | null | crypto.py | aivalja/Crypto-Scrooge | 98fb08f3eb1008de66e02b30a70f6e772c095a48 | [
"MIT"
] | null | null | null | crypto.py | aivalja/Crypto-Scrooge | 98fb08f3eb1008de66e02b30a70f6e772c095a48 | [
"MIT"
] | null | null | null | from json import loads
import argparse
from urllib.request import urlopen
from pprint import pprint
from datetime import datetime
def main():
parser = argparse.ArgumentParser()
parser.add_argument("start_date", help="Start date in format DD.MM.YYYY",
type=lambda s: datetime.strptime(s... | 38.928571 | 92 | 0.647706 | 805 | 6,540 | 4.991304 | 0.201242 | 0.050772 | 0.023892 | 0.031857 | 0.260577 | 0.106023 | 0.106023 | 0.106023 | 0.050274 | 0.050274 | 0 | 0.019665 | 0.269113 | 6,540 | 167 | 93 | 39.161677 | 0.820921 | 0.136697 | 0 | 0.144 | 0 | 0 | 0.118595 | 0.044608 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048 | false | 0 | 0.04 | 0 | 0.104 | 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 |
d4276c833da8da729c76c47b1baa7513e58dc63c | 4,504 | py | Python | main.py | pechhenka/itmo_parser_table | 8cefcad00290539872759c6a4dc8050e03333a1f | [
"Unlicense"
] | null | null | null | main.py | pechhenka/itmo_parser_table | 8cefcad00290539872759c6a4dc8050e03333a1f | [
"Unlicense"
] | null | null | null | main.py | pechhenka/itmo_parser_table | 8cefcad00290539872759c6a4dc8050e03333a1f | [
"Unlicense"
] | null | null | null | import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
url = "https://abit.itmo.ru/bachelor/rating_rank/all/261/"
required_name = 'Шараев Павел Ильдарович'
def write_to_file(result):
global required_name
import xlsxwriter
with xlsxwriter.Workbook('result.xlsx') as workbook:
... | 30.026667 | 118 | 0.538854 | 577 | 4,504 | 4.071057 | 0.317158 | 0.006811 | 0.03874 | 0.045977 | 0.140485 | 0.049383 | 0.025543 | 0.025543 | 0.025543 | 0.025543 | 0 | 0.036634 | 0.327265 | 4,504 | 149 | 119 | 30.228188 | 0.737954 | 0.033082 | 0 | 0.165289 | 0 | 0 | 0.133425 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049587 | false | 0 | 0.041322 | 0 | 0.123967 | 0.049587 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4284956c70586476c90480dd8b13432ac59b14e | 3,503 | py | Python | makeplotz.py | Munfred/scutils | 9c6b6ce078c0b2aeb7a9f801933cf767197f4efd | [
"Unlicense"
] | null | null | null | makeplotz.py | Munfred/scutils | 9c6b6ce078c0b2aeb7a9f801933cf767197f4efd | [
"Unlicense"
] | null | null | null | makeplotz.py | Munfred/scutils | 9c6b6ce078c0b2aeb7a9f801933cf767197f4efd | [
"Unlicense"
] | null | null | null | ### EXAMPLE JOB SUBMISISON ###
# sbatch -A SternbergGroup --gres gpu --mem=64000 -t 15:00:00 --ntasks 10 --nodes 1 --job-name "bcbg" --wrap "python bcbg.py"
### FILENAME CHANGE BEFORE RUNNING ###
model_name= 'blah'
adata_file='../blah.h5ad'
######################################
import sys
import warnings; warnings... | 35.383838 | 126 | 0.633172 | 451 | 3,503 | 4.847007 | 0.37694 | 0.020128 | 0.034767 | 0.034767 | 0.417658 | 0.389296 | 0.389296 | 0.36871 | 0.36871 | 0.294602 | 0 | 0.015913 | 0.210677 | 3,503 | 98 | 127 | 35.744898 | 0.774684 | 0.10962 | 0 | 0.306667 | 0 | 0 | 0.09374 | 0.007866 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.28 | 0 | 0.373333 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d42854dec66dab2bfdf36e91642dcd8421c577f7 | 1,244 | py | Python | examples/injecting_existing_instance/injecting_existing_instance_example.py | allrod5/injectable | 74e640f0911480fb06fa97c1a468c3863541c0fd | [
"MIT"
] | 71 | 2018-02-05T04:12:27.000Z | 2022-02-15T23:08:16.000Z | examples/injecting_existing_instance/injecting_existing_instance_example.py | Euraxluo/injectable | 74e640f0911480fb06fa97c1a468c3863541c0fd | [
"MIT"
] | 104 | 2018-02-06T23:37:36.000Z | 2021-08-25T04:50:15.000Z | examples/injecting_existing_instance/injecting_existing_instance_example.py | Euraxluo/injectable | 74e640f0911480fb06fa97c1a468c3863541c0fd | [
"MIT"
] | 13 | 2019-02-10T18:52:50.000Z | 2022-01-26T17:12:35.000Z | """
In this example you'll see how to supply an already-initialized instance as injectable.
For whatever reason we have already initialized an instance of ``Application`` and
assigned it to the ``app`` variable so we use the
:meth:`injectable_factory <injectable.injectable_factory>` decorator in a lambda which
in turn... | 27.644444 | 88 | 0.734727 | 156 | 1,244 | 5.698718 | 0.49359 | 0.07649 | 0.038245 | 0.053993 | 0.134983 | 0.134983 | 0.134983 | 0.134983 | 0 | 0 | 0 | 0.00197 | 0.184084 | 1,244 | 44 | 89 | 28.272727 | 0.873892 | 0.55627 | 0 | 0 | 0 | 0 | 0.014733 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.388889 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d42903bc52bf571f31d31df1a834976bfcbfa6a0 | 2,736 | py | Python | fHDHR/device/tuners/__init__.py | crackers8199/fHDHR_Youtube-IHOPKC | e1878d972ffba96ff813690630e30e2de8b5f504 | [
"WTFPL"
] | null | null | null | fHDHR/device/tuners/__init__.py | crackers8199/fHDHR_Youtube-IHOPKC | e1878d972ffba96ff813690630e30e2de8b5f504 | [
"WTFPL"
] | null | null | null | fHDHR/device/tuners/__init__.py | crackers8199/fHDHR_Youtube-IHOPKC | e1878d972ffba96ff813690630e30e2de8b5f504 | [
"WTFPL"
] | null | null | null |
from fHDHR.exceptions import TunerError
from .tuner import Tuner
class Tuners():
def __init__(self, fhdhr, epg, channels):
self.fhdhr = fhdhr
self.channels = channels
self.epg = epg
self.max_tuners = int(self.fhdhr.config.dict["fhdhr"]["tuner_count"])
self.tuners = {}
... | 31.448276 | 97 | 0.612208 | 325 | 2,736 | 4.963077 | 0.236923 | 0.080595 | 0.048357 | 0.049597 | 0.33478 | 0.218227 | 0.199628 | 0.121513 | 0.121513 | 0.121513 | 0 | 0.009068 | 0.274488 | 2,736 | 86 | 98 | 31.813953 | 0.803526 | 0.013158 | 0 | 0.2 | 0 | 0 | 0.110122 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.033333 | 0 | 0.283333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d42f67e9e0f814fed2def88800445e02b82253cc | 401 | py | Python | ARC/arc001-arc050/arc040/a.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | 2 | 2020-06-12T09:54:23.000Z | 2021-05-04T01:34:07.000Z | ARC/arc001-arc050/arc040/a.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | 961 | 2020-06-23T07:26:22.000Z | 2022-03-31T21:34:52.000Z | ARC/arc001-arc050/arc040/a.py | KATO-Hiro/AtCoder | cbbdb18e95110b604728a54aed83a6ed6b993fde | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
def main():
n = int(input())
r_count = 0
b_count = 0
for i in range(n):
si = input()
r_count += si.count('R')
b_count += si.count('B')
if r_count > b_count:
print('TAKAHASHI')
elif r_count < b_count:
print('AOKI'... | 16.708333 | 33 | 0.456359 | 52 | 401 | 3.211538 | 0.480769 | 0.143713 | 0.131737 | 0.143713 | 0.203593 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012195 | 0.386534 | 401 | 23 | 34 | 17.434783 | 0.666667 | 0.052369 | 0 | 0 | 0 | 0 | 0.076056 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0 | 0 | 0.0625 | 0.1875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4305b27996382bcf34ae4f2d283d939605b8ef7 | 6,622 | py | Python | labs/lab3/lab3b.py | MITLLRacecar/racecar-parth-kocheta | 6e244575b83e312880c5540342a380364032d326 | [
"MIT"
] | 1 | 2021-08-01T17:06:39.000Z | 2021-08-01T17:06:39.000Z | labs/lab3/lab3b.py | MITLLRacecar/racecar-parth-kocheta | 6e244575b83e312880c5540342a380364032d326 | [
"MIT"
] | null | null | null | labs/lab3/lab3b.py | MITLLRacecar/racecar-parth-kocheta | 6e244575b83e312880c5540342a380364032d326 | [
"MIT"
] | null | null | null | """
Copyright MIT and Harvey Mudd College
MIT License
Summer 2020
Lab 3B - Depth Camera Cone Parking
"""
########################################################################################
# Imports
########################################################################################
import sys
import cv2 as ... | 31.235849 | 99 | 0.593174 | 855 | 6,622 | 4.438596 | 0.272515 | 0.047958 | 0.017391 | 0.017918 | 0.18498 | 0.140711 | 0.053228 | 0.053228 | 0.043215 | 0.025296 | 0 | 0.019727 | 0.22682 | 6,622 | 212 | 100 | 31.235849 | 0.721484 | 0.269858 | 0 | 0.17757 | 0 | 0 | 0.028408 | 0 | 0 | 0 | 0 | 0.009434 | 0 | 1 | 0.037383 | false | 0.009346 | 0.074766 | 0 | 0.149533 | 0.065421 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4318826121e4a0a63a9ff18a3888788c700b50d | 19,272 | py | Python | ska-tmc/ska-tmc-sdpsubarrayleafnode-mid/src/ska_tmc_sdpsubarrayleafnode_mid/sdp_subarray_leaf_node.py | ska-telescope/tmc-prototype | 4138274e933d4b05f7fe9fc34a11c417b6d0d336 | [
"BSD-3-Clause"
] | 3 | 2019-01-10T11:49:36.000Z | 2019-07-19T03:32:52.000Z | ska-tmc/ska-tmc-sdpsubarrayleafnode-mid/src/ska_tmc_sdpsubarrayleafnode_mid/sdp_subarray_leaf_node.py | ska-telescope/tmc-prototype | 4138274e933d4b05f7fe9fc34a11c417b6d0d336 | [
"BSD-3-Clause"
] | 19 | 2019-01-07T14:50:26.000Z | 2019-10-02T13:25:23.000Z | ska-tmc/ska-tmc-sdpsubarrayleafnode-mid/src/ska_tmc_sdpsubarrayleafnode_mid/sdp_subarray_leaf_node.py | ska-telescope/tmc-prototype | 4138274e933d4b05f7fe9fc34a11c417b6d0d336 | [
"BSD-3-Clause"
] | 1 | 2018-12-21T13:39:23.000Z | 2018-12-21T13:39:23.000Z | # -*- coding: utf-8 -*-
#
# This file is part of the SdpSubarrayLeafNode project
#
#
#
# Distributed under the terms of the BSD-3-Clause license.
# See LICENSE.txt for more info.
"""
SDP Subarray Leaf node is to monitor the SDP Subarray and issue control actions during an observation.
It also acts as a SDP contact poi... | 31.749588 | 120 | 0.643161 | 2,098 | 19,272 | 5.772164 | 0.14204 | 0.036499 | 0.028984 | 0.031214 | 0.5455 | 0.476713 | 0.427415 | 0.37341 | 0.333526 | 0.333526 | 0 | 0.000214 | 0.273557 | 19,272 | 606 | 121 | 31.80198 | 0.864786 | 0.385118 | 0 | 0.3083 | 0 | 0 | 0.148589 | 0.014773 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134387 | false | 0 | 0.098814 | 0 | 0.320158 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d431a229e5bc2ae5e5df2bc300491d02cd7bb9da | 4,255 | py | Python | src/app.py | qq20004604/qq-robot | f109a774666efcd0cf36ed4da0d79f53b32b1577 | [
"Apache-2.0"
] | 8 | 2019-05-20T03:30:27.000Z | 2020-09-24T13:16:53.000Z | src/app.py | qq20004604/qq-robot | f109a774666efcd0cf36ed4da0d79f53b32b1577 | [
"Apache-2.0"
] | null | null | null | src/app.py | qq20004604/qq-robot | f109a774666efcd0cf36ed4da0d79f53b32b1577 | [
"Apache-2.0"
] | 2 | 2020-09-24T13:16:56.000Z | 2020-12-25T09:44:48.000Z | from aiocqhttp import CQHttp
from datetime import datetime
from sendmsg import SendMsg
from loadData import LoadData
import threading
import time
# windows本机运行本脚本与coolq的配置
# HOST = '127.0.0.1'
# PORT = 7788
# 这个url是发送给docker容器里的coolq
# 举例来说,假如docker命令有这样的 -p 3542:9000 -p 15700:5700
# 9000 是coolq暴露的页面访问地址(这里映射到了外面的35... | 31.518519 | 135 | 0.647239 | 526 | 4,255 | 5.171103 | 0.448669 | 0.052574 | 0.066912 | 0.114706 | 0.118015 | 0.041544 | 0.029412 | 0 | 0 | 0 | 0 | 0.102394 | 0.185194 | 4,255 | 134 | 136 | 31.753731 | 0.682146 | 0.436428 | 0 | 0.032258 | 0 | 0.016129 | 0.141642 | 0.012012 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0.016129 | 0.096774 | 0 | 0.16129 | 0.016129 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d43272fbb73b6c6b6b7fe45a8e85aee3304ff420 | 1,359 | py | Python | src/9/enforcing_type_checking_on_a_function_using_a_decorator/example.py | tuanavu/python-gitbook | 948a05e065b0f40afbfd22f697dff16238163cde | [
"MIT"
] | 14 | 2017-05-20T04:06:46.000Z | 2022-01-23T06:48:45.000Z | src/9/enforcing_type_checking_on_a_function_using_a_decorator/example.py | tuanavu/python-gitbook | 948a05e065b0f40afbfd22f697dff16238163cde | [
"MIT"
] | 1 | 2021-06-10T20:17:55.000Z | 2021-06-10T20:17:55.000Z | src/9/enforcing_type_checking_on_a_function_using_a_decorator/example.py | tuanavu/python-gitbook | 948a05e065b0f40afbfd22f697dff16238163cde | [
"MIT"
] | 15 | 2017-03-29T17:57:33.000Z | 2021-08-24T02:20:08.000Z | from inspect import signature
from functools import wraps
def typeassert(*ty_args, **ty_kwargs):
def decorate(func):
# If in optimized mode, disable type checking
if not __debug__:
return func
# Map function argument names to supplied types
sig = signature(func)
... | 26.134615 | 84 | 0.557027 | 166 | 1,359 | 4.421687 | 0.415663 | 0.054496 | 0.021798 | 0.038147 | 0.065395 | 0.065395 | 0 | 0 | 0 | 0 | 0 | 0.012209 | 0.337013 | 1,359 | 51 | 85 | 26.647059 | 0.802442 | 0.108904 | 0 | 0.157895 | 0 | 0 | 0.041494 | 0 | 0 | 0 | 0 | 0 | 0.078947 | 1 | 0.131579 | false | 0 | 0.052632 | 0.026316 | 0.315789 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d433b3494ae66595b5f31b0ee2375f4a611bbe3e | 2,230 | py | Python | muk_web_theme/muk_dms_actions/tests/test_file.py | marionumza/vocal_v12 | 480990e919c9410903e06e7813ee92800bd6a569 | [
"Unlicense"
] | null | null | null | muk_web_theme/muk_dms_actions/tests/test_file.py | marionumza/vocal_v12 | 480990e919c9410903e06e7813ee92800bd6a569 | [
"Unlicense"
] | null | null | null | muk_web_theme/muk_dms_actions/tests/test_file.py | marionumza/vocal_v12 | 480990e919c9410903e06e7813ee92800bd6a569 | [
"Unlicense"
] | 1 | 2021-05-05T07:59:08.000Z | 2021-05-05T07:59:08.000Z | ###################################################################################
#
# Copyright (C) 2017 MuK IT GmbH
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, eithe... | 44.6 | 97 | 0.675336 | 293 | 2,230 | 4.959044 | 0.440273 | 0.028906 | 0.044047 | 0.055059 | 0.300069 | 0.233999 | 0.177564 | 0.130764 | 0.130764 | 0 | 0 | 0.010133 | 0.159193 | 2,230 | 50 | 98 | 44.6 | 0.7648 | 0.309865 | 0 | 0 | 0 | 0 | 0.105691 | 0.034738 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.083333 | false | 0 | 0.291667 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4343b5d871290ec2f4ca3f7e5cf287d0875613d | 2,500 | py | Python | populate.py | yueguoguo/shopify-flask-example | dc556aeac21bfcd9bbd5fdeece5cd4827e090055 | [
"Apache-2.0"
] | null | null | null | populate.py | yueguoguo/shopify-flask-example | dc556aeac21bfcd9bbd5fdeece5cd4827e090055 | [
"Apache-2.0"
] | null | null | null | populate.py | yueguoguo/shopify-flask-example | dc556aeac21bfcd9bbd5fdeece5cd4827e090055 | [
"Apache-2.0"
] | null | null | null | # Mock method to populate data to a Shopify store
# This is used only for development purpose
import io
import requests
import random
from typing import List
from time import sleep
import shopify
from faker import Faker
ACCESS_TOKEN = "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" # Temporary use only
API_VERSION = "2020... | 23.809524 | 92 | 0.7288 | 333 | 2,500 | 5.276276 | 0.303303 | 0.051224 | 0.047809 | 0.029027 | 0.06033 | 0.06033 | 0 | 0 | 0 | 0 | 0 | 0.019212 | 0.1672 | 2,500 | 104 | 93 | 24.038462 | 0.824688 | 0.2212 | 0 | 0.03125 | 0 | 0 | 0.074619 | 0.032487 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.109375 | 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 |
d43594d2c1b672c278943517c110acaf9fee2089 | 1,067 | py | Python | examples/VNH5019_example.py | being24/VNH5019 | 1030050d363991e43f63befbb052c423c3470156 | [
"MIT"
] | null | null | null | examples/VNH5019_example.py | being24/VNH5019 | 1030050d363991e43f63befbb052c423c3470156 | [
"MIT"
] | null | null | null | examples/VNH5019_example.py | being24/VNH5019 | 1030050d363991e43f63befbb052c423c3470156 | [
"MIT"
] | null | null | null | # !/usr/bin/env python3
# -*- coding: utf-8 -*-
import time
from logging import DEBUG, ERROR, FATAL, INFO, WARN
import pigpio
from VNH5019_driver import VNH5019 as MOTOR
if __name__ == "__main__":
count = 0.0
one_count = 360 * 4 / (64 * 50)
pi = pigpio.pi()
motor0 = MOTOR(
pi,
dri... | 20.921569 | 63 | 0.626992 | 142 | 1,067 | 4.429577 | 0.507042 | 0.044515 | 0.076312 | 0.054054 | 0.200318 | 0.133545 | 0.133545 | 0.133545 | 0.133545 | 0 | 0 | 0.103316 | 0.26523 | 1,067 | 50 | 64 | 21.34 | 0.69898 | 0.137769 | 0 | 0.181818 | 0 | 0 | 0.009847 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.121212 | 0 | 0.121212 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d43f4c8e8daff28f9449dbacb0f541d11f998d5f | 326 | py | Python | stockUpdater/update.py | SamrathPalSingh/stockmarketwebsite | ea91647e25066c1a5c7f48015dccd19117428e9b | [
"MIT"
] | null | null | null | stockUpdater/update.py | SamrathPalSingh/stockmarketwebsite | ea91647e25066c1a5c7f48015dccd19117428e9b | [
"MIT"
] | 9 | 2020-05-05T18:43:29.000Z | 2021-09-22T18:58:59.000Z | stockUpdater/update.py | SamrathPalSingh/stockmarketwebsite | ea91647e25066c1a5c7f48015dccd19117428e9b | [
"MIT"
] | null | null | null | from .stock_prediction_logic.analyse import start_analysis
from home.models import stock
def updateStocks():
# start_analysis()
obj = stock.objects.get(stockSymbol = "AAPL")
obj.macd_trend = 'be'
obj.rank = int(4)
import datetime
now = datetime.datetime.now()
obj.volume = str(now)
obj.s... | 25.076923 | 58 | 0.687117 | 43 | 326 | 5.093023 | 0.651163 | 0.118721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003831 | 0.199387 | 326 | 12 | 59 | 27.166667 | 0.835249 | 0.04908 | 0 | 0 | 0 | 0 | 0.019481 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.3 | 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 |
d43fb21fc63432d8db4d6094061fd258a4b6f29b | 790 | py | Python | train.py | jindal2309/conv-ai-model | 2238780bdc01965a97726edaeb834cda7ed73867 | [
"MIT"
] | null | null | null | train.py | jindal2309/conv-ai-model | 2238780bdc01965a97726edaeb834cda7ed73867 | [
"MIT"
] | null | null | null | train.py | jindal2309/conv-ai-model | 2238780bdc01965a97726edaeb834cda7ed73867 | [
"MIT"
] | null | null | null | from torch.utils.data.dataloader import DataLoader
from dataloader import ConvAIDataset
from utils import combine_contexts
from vocab.text import BPEVocab
max_seq_len = 512
train_data = 'data/train_self_revised_no_cands.txt'
bpe_vocab_path = 'vocab/bpe.vocab'
bpe_codes_path = 'vocab/bpe.code'
params = {'batch_size': ... | 30.384615 | 94 | 0.702532 | 103 | 790 | 5.048544 | 0.495146 | 0.061538 | 0.051923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011111 | 0.202532 | 790 | 25 | 95 | 31.6 | 0.814286 | 0 | 0 | 0 | 0 | 0 | 0.140506 | 0.04557 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d440b9f21f95bdb0021bcda32bda78128d97dda1 | 1,415 | py | Python | leetcode/binary_tree_level _order_traversal_leetcode_102/binary_tree_level _order_traversal.py | Williano/Interview-Prep | 0ad688637215080c7e4d26c640d74c89227e7cfb | [
"MIT"
] | null | null | null | leetcode/binary_tree_level _order_traversal_leetcode_102/binary_tree_level _order_traversal.py | Williano/Interview-Prep | 0ad688637215080c7e4d26c640d74c89227e7cfb | [
"MIT"
] | null | null | null | leetcode/binary_tree_level _order_traversal_leetcode_102/binary_tree_level _order_traversal.py | Williano/Interview-Prep | 0ad688637215080c7e4d26c640d74c89227e7cfb | [
"MIT"
] | null | null | null | """
Leetcode No: 102
Title: Binary Tree Level Order Traversal
Description:
Given the root of a binary tree, return the level order traversal of its
nodes' values. (i.e., from left to right, level by level).
Example 1:
Input: root = [3,9,20,null,null,15,7]
Output: [[3],[9,20],[15,7]]
... | 21.769231 | 76 | 0.579505 | 176 | 1,415 | 4.494318 | 0.375 | 0.079646 | 0.120101 | 0.055626 | 0.06574 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024084 | 0.325088 | 1,415 | 64 | 77 | 22.109375 | 0.804188 | 0.259364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4430fca441867f9bd80ffce1daeda8281c206ea | 5,785 | py | Python | Validation/Performance/test/ThreadTest.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 3 | 2018-08-24T19:10:26.000Z | 2019-02-19T11:45:32.000Z | Validation/Performance/test/ThreadTest.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 7 | 2016-07-17T02:34:54.000Z | 2019-08-13T07:58:37.000Z | Validation/Performance/test/ThreadTest.py | NTrevisani/cmssw | a212a27526f34eb9507cf8b875c93896e6544781 | [
"Apache-2.0"
] | 5 | 2018-08-21T16:37:52.000Z | 2020-01-09T13:33:17.000Z | #!/usr/bin/env python
#A script to test threading concepts/implementations
from __future__ import print_function
import threading,time,sys
#The following used from past bad experience with multithreading in Python
def _cleanup():
pass
#Define the "thread" class, of which each thread is a instance
class TestThread(... | 39.353741 | 185 | 0.621262 | 758 | 5,785 | 4.705805 | 0.313984 | 0.005607 | 0.015419 | 0.012616 | 0.053546 | 0.035324 | 0.021306 | 0.021306 | 0.021306 | 0 | 0 | 0.006708 | 0.278479 | 5,785 | 146 | 186 | 39.623288 | 0.847868 | 0.307692 | 0 | 0.21 | 0 | 0.01 | 0.197883 | 0.005546 | 0 | 0 | 0 | 0.006849 | 0 | 1 | 0.14 | false | 0.04 | 0.02 | 0.02 | 0.24 | 0.28 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d44510e870ea216676fc2c3138e5db6f9bb2ae40 | 3,301 | py | Python | gui/plot.py | kklmn/ParSeq | 46178c21c3ee39b84bbf3d80bcd9f93128ace9e2 | [
"MIT"
] | 3 | 2018-11-19T07:14:25.000Z | 2020-07-28T17:20:14.000Z | gui/plot.py | kklmn/ParSeq | 46178c21c3ee39b84bbf3d80bcd9f93128ace9e2 | [
"MIT"
] | null | null | null | gui/plot.py | kklmn/ParSeq | 46178c21c3ee39b84bbf3d80bcd9f93128ace9e2 | [
"MIT"
] | 2 | 2019-03-25T09:36:11.000Z | 2021-12-19T07:52:38.000Z | # -*- coding: utf-8 -*-
__author__ = "Konstantin Klementiev"
__date__ = "16 Feb 2019"
# !!! SEE CODERULES.TXT !!!
import os
from silx.gui import qt
from silx.gui import plot as splot
from ..core import singletons as csi
class Plot1D(splot.PlotWindow):
def __init__(self, parent=None, backend=None, position=True)... | 37.511364 | 77 | 0.565586 | 364 | 3,301 | 5.016484 | 0.395604 | 0.017525 | 0.048193 | 0.061336 | 0.191676 | 0.075575 | 0.075575 | 0.044907 | 0 | 0 | 0 | 0.018775 | 0.322327 | 3,301 | 87 | 78 | 37.942529 | 0.797497 | 0.097849 | 0 | 0 | 0 | 0 | 0.068211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0.014286 | 0.057143 | 0 | 0.257143 | 0.014286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d44834c9eaa5437119fdcf7514ce64d66090c5cb | 576 | py | Python | src/test_app.py | perylemke/immutable_infra | 9e7ce2fec2ace5d2efdb598883483142b02ceac0 | [
"Apache-2.0"
] | 10 | 2019-05-06T20:48:48.000Z | 2020-10-30T21:30:23.000Z | src/test_app.py | perylemke/immutable_infra | 9e7ce2fec2ace5d2efdb598883483142b02ceac0 | [
"Apache-2.0"
] | null | null | null | src/test_app.py | perylemke/immutable_infra | 9e7ce2fec2ace5d2efdb598883483142b02ceac0 | [
"Apache-2.0"
] | null | null | null | from app import app
import json
import socket
import os.path
# The first and the second test validate json structure
def test_get_status_code():
app.config["TESTING"] = True
with app.test_client() as client:
response = client.get("/request")
assert response.status_code == 200
def test_get_sta... | 27.428571 | 56 | 0.661458 | 74 | 576 | 5.027027 | 0.472973 | 0.048387 | 0.053763 | 0.086022 | 0.33871 | 0.33871 | 0.33871 | 0.33871 | 0.33871 | 0.33871 | 0 | 0.006803 | 0.234375 | 576 | 21 | 57 | 27.428571 | 0.836735 | 0.092014 | 0 | 0.352941 | 0 | 0 | 0.130268 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 1 | 0.117647 | false | 0 | 0.235294 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d44a00f74c482c7832f425339e2417ab5c29c7e3 | 35,663 | py | Python | lingvodoc/scripts/docx_import.py | SegFaulti4/lingvodoc | 8b296b43453a46b814d3cd381f94382ebcb9c6a6 | [
"Apache-2.0"
] | null | null | null | lingvodoc/scripts/docx_import.py | SegFaulti4/lingvodoc | 8b296b43453a46b814d3cd381f94382ebcb9c6a6 | [
"Apache-2.0"
] | 1 | 2021-07-26T09:52:46.000Z | 2021-07-26T09:52:46.000Z | lingvodoc/scripts/docx_import.py | Winking-maniac/lingvodoc | f037bf0e91ccdf020469037220a43e63849aa24a | [
"Apache-2.0"
] | null | null | null |
# Standard library imports.
import ast
import getopt
import logging
import pprint
import re
import sys
# External imports.
import docx
import pympi
import pyramid.paster as paster
# Project imports.
from lingvodoc.models import (
DBSession,
Dictionary,
)
# Setting up logging, if we are not being run as ... | 28.462091 | 108 | 0.535653 | 4,157 | 35,663 | 4.306952 | 0.109213 | 0.021448 | 0.010947 | 0.009439 | 0.405384 | 0.325011 | 0.276977 | 0.247822 | 0.223916 | 0.204368 | 0 | 0.016202 | 0.364832 | 35,663 | 1,252 | 109 | 28.484824 | 0.774192 | 0.120966 | 0 | 0.350282 | 0 | 0 | 0.071132 | 0.021468 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014124 | false | 0 | 0.018362 | 0 | 0.045198 | 0.009887 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d44da7d127e1ce8cb7767fe40398dec1469b4993 | 4,509 | py | Python | mindhome_alpha/erpnext/demo/user/stock.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | mindhome_alpha/erpnext/demo/user/stock.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | null | null | null | mindhome_alpha/erpnext/demo/user/stock.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import print_function, unicode_literals
import frappe, random, erpnext
from frappe.desk import query_report
from erpnext.stock.stock_ledger import NegativeStockError
from erpn... | 34.684615 | 113 | 0.745842 | 600 | 4,509 | 5.42 | 0.258333 | 0.0369 | 0.03444 | 0.032288 | 0.261685 | 0.220172 | 0.160517 | 0.143911 | 0.129766 | 0.098401 | 0 | 0.009042 | 0.141495 | 4,509 | 129 | 114 | 34.953488 | 0.831051 | 0.055223 | 0 | 0.327103 | 0 | 0 | 0.07289 | 0.005408 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065421 | false | 0.009346 | 0.11215 | 0 | 0.17757 | 0.018692 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d45013e19ee94ead3bc3ab1cecb032b98f2fafda | 720 | py | Python | posts/templatetags/paginator.py | ujlbu4/vas3k.club | 1ec907cf7e5ae3a74059cde8729ca0b3e2d55a3e | [
"MIT"
] | 496 | 2020-04-24T04:20:32.000Z | 2022-03-31T21:55:57.000Z | posts/templatetags/paginator.py | ujlbu4/vas3k.club | 1ec907cf7e5ae3a74059cde8729ca0b3e2d55a3e | [
"MIT"
] | 642 | 2020-04-24T11:54:13.000Z | 2022-03-26T15:41:06.000Z | posts/templatetags/paginator.py | ujlbu4/vas3k.club | 1ec907cf7e5ae3a74059cde8729ca0b3e2d55a3e | [
"MIT"
] | 243 | 2020-04-24T11:49:11.000Z | 2022-03-24T18:38:48.000Z | from django import template
register = template.Library()
@register.inclusion_tag("common/paginator.html")
def paginator(items):
adjacent_pages = 4
num_pages = items.paginator.num_pages
page = items.number
start_page = max(page - adjacent_pages, 1)
if start_page <= 3:
start_page = 1
... | 24 | 81 | 0.643056 | 101 | 720 | 4.316832 | 0.356436 | 0.146789 | 0.077982 | 0.082569 | 0.165138 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016886 | 0.259722 | 720 | 29 | 82 | 24.827586 | 0.801126 | 0 | 0 | 0 | 0 | 0 | 0.091667 | 0.029167 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.047619 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4504bcd464e9711733f6e23b9e032a1b7ce8a80 | 18,784 | py | Python | svb/prior.py | physimals/svb | 9c04309ef1fc1d5f81103a50a01e3bf4c8f4ea44 | [
"Apache-2.0"
] | 3 | 2022-01-08T12:50:25.000Z | 2022-03-22T00:55:17.000Z | svb/prior.py | physimals/svb | 9c04309ef1fc1d5f81103a50a01e3bf4c8f4ea44 | [
"Apache-2.0"
] | 1 | 2020-10-16T15:27:46.000Z | 2020-10-16T15:59:48.000Z | svb/prior.py | physimals/svb | 9c04309ef1fc1d5f81103a50a01e3bf4c8f4ea44 | [
"Apache-2.0"
] | null | null | null | """
Definition of prior distribution
"""
import numpy as np
try:
import tensorflow.compat.v1 as tf
except ImportError:
import tensorflow as tf
from .utils import LogBase
from .dist import Normal
PRIOR_TYPE_NONSPATIAL = "N"
PRIOR_TYPE_SPATIAL_MRF = "M"
def get_prior(param, data_model, **kwargs):
"""
... | 44.511848 | 156 | 0.638948 | 2,772 | 18,784 | 4.196248 | 0.129509 | 0.021664 | 0.02708 | 0.015131 | 0.64314 | 0.606517 | 0.585712 | 0.558803 | 0.526479 | 0.51023 | 0 | 0.013514 | 0.243665 | 18,784 | 421 | 157 | 44.617577 | 0.805237 | 0.332624 | 0 | 0.425743 | 0 | 0 | 0.059125 | 0.001764 | 0 | 0 | 0 | 0.002375 | 0 | 1 | 0.123762 | false | 0 | 0.029703 | 0.029703 | 0.252475 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d451e78026744df79562580a63a5aa68b269af10 | 1,123 | py | Python | setup.py | open-contracting/extensions-data-collector | 041f7b44de60b3d241e4891da1bb1c1cb8ce9ec4 | [
"BSD-3-Clause"
] | null | null | null | setup.py | open-contracting/extensions-data-collector | 041f7b44de60b3d241e4891da1bb1c1cb8ce9ec4 | [
"BSD-3-Clause"
] | 23 | 2018-06-29T15:34:41.000Z | 2018-11-03T13:29:49.000Z | setup.py | open-contracting/extensions-data-collector | 041f7b44de60b3d241e4891da1bb1c1cb8ce9ec4 | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup, find_packages
with open('README.rst') as f:
long_description = f.read()
setup(
name='ocdsextensionsdatacollector',
version='0.0.1',
author='Open Contracting Partnership, Open Data Services',
author_email='data@open-contracting.org',
url='https://github.com/open-co... | 27.390244 | 90 | 0.601959 | 110 | 1,123 | 6.018182 | 0.645455 | 0.067976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016867 | 0.260908 | 1,123 | 40 | 91 | 28.075 | 0.780723 | 0 | 0 | 0.105263 | 0 | 0 | 0.458593 | 0.135352 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.026316 | 0 | 0.026316 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4531e43111597e9d512203074171f5484832a7b | 423 | py | Python | server_side_python/DetectionAndTracking.py | Tpierga/2I_ProjetDetectionIA | 39ba28a1d98bf7f0e908ee6cab933b219cc98977 | [
"MIT"
] | null | null | null | server_side_python/DetectionAndTracking.py | Tpierga/2I_ProjetDetectionIA | 39ba28a1d98bf7f0e908ee6cab933b219cc98977 | [
"MIT"
] | null | null | null | server_side_python/DetectionAndTracking.py | Tpierga/2I_ProjetDetectionIA | 39ba28a1d98bf7f0e908ee6cab933b219cc98977 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import cv2
def detect_body(frame):
body_img = frame.copy()
body_classifier = cv2.CascadeClassifier("haarcascade_fullbody.xml")
gray = cv2.cvtColor(body_img, cv2.COLOR_BGR2GRAY)
bodies = body_classifier.detectMultiScale(gray)
for (x, y, w, h) i... | 18.391304 | 71 | 0.678487 | 63 | 423 | 4.412698 | 0.571429 | 0.100719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035608 | 0.20331 | 423 | 22 | 72 | 19.227273 | 0.789318 | 0 | 0 | 0 | 0 | 0 | 0.057279 | 0.057279 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 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 |
d453fbe6cb754cbcc0bc6074f266abb4c1ebf8ac | 1,333 | py | Python | packages/infra_libs/infra_libs/_command_line_linux.py | xswz8015/infra | f956b78ce4c39cc76acdda47601b86794ae0c1ba | [
"BSD-3-Clause"
] | null | null | null | packages/infra_libs/infra_libs/_command_line_linux.py | xswz8015/infra | f956b78ce4c39cc76acdda47601b86794ae0c1ba | [
"BSD-3-Clause"
] | 7 | 2022-02-15T01:11:37.000Z | 2022-03-02T12:46:13.000Z | packages/infra_libs/infra_libs/_command_line_linux.py | NDevTK/chromium-infra | d38e088e158d81f7f2065a38aa1ea1894f735ec4 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import ctypes
import ctypes.util
import sys
_CACHED_CMDLINE_LENGTH = None
def set_command_line(cmdline):
"""Replaces the commandline of this process as... | 34.179487 | 78 | 0.740435 | 207 | 1,333 | 4.584541 | 0.47343 | 0.109589 | 0.160169 | 0.037935 | 0.061117 | 0.061117 | 0.061117 | 0 | 0 | 0 | 0 | 0.008145 | 0.171043 | 1,333 | 38 | 79 | 35.078947 | 0.850679 | 0.40135 | 0 | 0 | 0 | 0 | 0.006386 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.166667 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4563d756cea51df08af818dd4f5a3f61d84a870 | 231 | py | Python | 4.py | CarineGhisiCadorin/infosatc-lp-avaliativo-02 | 0018df4f52c0659611c484c909ff4bbf925c450a | [
"MIT"
] | null | null | null | 4.py | CarineGhisiCadorin/infosatc-lp-avaliativo-02 | 0018df4f52c0659611c484c909ff4bbf925c450a | [
"MIT"
] | null | null | null | 4.py | CarineGhisiCadorin/infosatc-lp-avaliativo-02 | 0018df4f52c0659611c484c909ff4bbf925c450a | [
"MIT"
] | null | null | null | lista = [1,2,3,4,5,6,7,8,9,10]
print(lista)
lista2 = [11, 12, 13]
print(lista2)
lista_completa = lista + lista2
print(lista_completa)
#Ou
listaA = [1,2,3,4,5,6,7,8,9,10]
listaB = [11, 12, 13]
listaA = listaB.copy()
print(listaA)
| 17.769231 | 31 | 0.65368 | 47 | 231 | 3.170213 | 0.446809 | 0.026846 | 0.040268 | 0.053691 | 0.147651 | 0.147651 | 0.147651 | 0.147651 | 0.147651 | 0.147651 | 0 | 0.185 | 0.134199 | 231 | 12 | 32 | 19.25 | 0.56 | 0.008658 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d457da1f72c081a9943cc4f083598a70a7403071 | 14,240 | py | Python | soundsig/discriminate.py | theunissenlab/sounsig | fca413aa71ce6fec079c59e615e328e6781d1d35 | [
"MIT"
] | 22 | 2017-08-05T12:41:49.000Z | 2022-01-24T23:14:59.000Z | soundsig/discriminate.py | theunissenlab/sounsig | fca413aa71ce6fec079c59e615e328e6781d1d35 | [
"MIT"
] | 3 | 2017-07-06T19:23:54.000Z | 2020-10-13T10:41:27.000Z | soundsig/discriminate.py | theunissenlab/sounsig | fca413aa71ce6fec079c59e615e328e6781d1d35 | [
"MIT"
] | 6 | 2017-05-13T18:41:23.000Z | 2022-01-24T23:15:01.000Z |
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis as QDA
from sklearn.ensemble import RandomForestClassifier as RF
from sklearn.mode... | 41.037464 | 134 | 0.589466 | 1,840 | 14,240 | 4.526087 | 0.226087 | 0.003602 | 0.024496 | 0.002882 | 0.330451 | 0.311359 | 0.29671 | 0.283381 | 0.258646 | 0.224183 | 0 | 0.022441 | 0.286517 | 14,240 | 346 | 135 | 41.156069 | 0.797244 | 0.202528 | 0 | 0.291304 | 0 | 0 | 0.05529 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004348 | false | 0 | 0.034783 | 0 | 0.047826 | 0.056522 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d457ff551e1af72008fb3c2b85fdd39fc33404b0 | 4,477 | py | Python | backend_receitas/core/views.py | gugact/backend_web | 32b72ec460c1b6bae63bfd391c87b0c4bf644821 | [
"Apache-2.0"
] | null | null | null | backend_receitas/core/views.py | gugact/backend_web | 32b72ec460c1b6bae63bfd391c87b0c4bf644821 | [
"Apache-2.0"
] | null | null | null | backend_receitas/core/views.py | gugact/backend_web | 32b72ec460c1b6bae63bfd391c87b0c4bf644821 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from rest_framework import viewsets
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from django.http import *
from django.contrib.auth import *
fro... | 33.162963 | 101 | 0.682153 | 465 | 4,477 | 6.473118 | 0.270968 | 0.040199 | 0.063787 | 0.097674 | 0.36711 | 0.278405 | 0.232226 | 0.213621 | 0.192027 | 0.192027 | 0 | 0.008391 | 0.228055 | 4,477 | 134 | 102 | 33.410448 | 0.862558 | 0.101854 | 0 | 0.333333 | 0 | 0 | 0.03093 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107527 | false | 0.043011 | 0.150538 | 0 | 0.483871 | 0.053763 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d459cbe1a695f12684fad0e549571c60487537ba | 736 | py | Python | src/predict.py | tarasowski/starbucks-offer-engine | 51b80e5b390b58427d842964867a5db2aed6dda6 | [
"MIT"
] | 1 | 2020-02-19T06:59:30.000Z | 2020-02-19T06:59:30.000Z | src/predict.py | tarasowski/starbucks-offer-engine | 51b80e5b390b58427d842964867a5db2aed6dda6 | [
"MIT"
] | null | null | null | src/predict.py | tarasowski/starbucks-offer-engine | 51b80e5b390b58427d842964867a5db2aed6dda6 | [
"MIT"
] | null | null | null | import joblib
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score
def predict(data):
clf, X_test, y_test = data
y_pred = clf.predict(X_test)
print(f'Accuracy: {round(accuracy_score(y_test, y_pred) * 100, 2)}%')
print(f'F1 Score: {round(f1_score(y_test, y_pred) * 100, 2)... | 35.047619 | 83 | 0.677989 | 117 | 736 | 3.974359 | 0.282051 | 0.086022 | 0.086022 | 0.094624 | 0.202151 | 0.202151 | 0.202151 | 0.16129 | 0.16129 | 0 | 0 | 0.030547 | 0.154891 | 736 | 20 | 84 | 36.8 | 0.717042 | 0 | 0 | 0 | 0 | 0 | 0.41712 | 0.148098 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0.0625 | 0.3125 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d45bb49795fcb2f093014163608b945bdcaafd58 | 3,238 | py | Python | examples/optimize_polyfaces.py | hh-wu/ezdxf | 62509ba39b826ee9b36f19c0a5abad7f3518186a | [
"MIT"
] | 1 | 2021-06-05T09:15:15.000Z | 2021-06-05T09:15:15.000Z | examples/optimize_polyfaces.py | luoyu-123/ezdxf | 40963a2010028f87846241e08434f43ab421f3fb | [
"MIT"
] | null | null | null | examples/optimize_polyfaces.py | luoyu-123/ezdxf | 40963a2010028f87846241e08434f43ab421f3fb | [
"MIT"
] | null | null | null | # Purpose: open example files with big polyface models
# Created: 23.04.2014
# Copyright (c) 2014-2020, Manfred Moitzi
# License: MIT License
import time
from pathlib import Path
import ezdxf
from ezdxf.render import MeshVertexMerger
SRCDIR = Path(r'D:\Source\dxftest\CADKitSamples')
OUTDIR = Path('~/Desktop/Outbox').... | 32.38 | 94 | 0.661519 | 424 | 3,238 | 4.891509 | 0.252358 | 0.092575 | 0.069431 | 0.04918 | 0.51109 | 0.493732 | 0.492285 | 0.492285 | 0.441659 | 0.391514 | 0 | 0.016484 | 0.213095 | 3,238 | 100 | 95 | 32.38 | 0.797488 | 0.048178 | 0 | 0.4875 | 0 | 0 | 0.270393 | 0.010075 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0375 | false | 0 | 0.05 | 0 | 0.0875 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d45c7405d2149d4710720762085175c95dab0d57 | 1,576 | py | Python | glashammer/bundles/contrib/dev/firephp.py | passy/glashammer-rdrei | 9e56952d70b961d8945707469aad9cfe97c4e7b7 | [
"MIT"
] | 1 | 2016-07-04T15:23:59.000Z | 2016-07-04T15:23:59.000Z | glashammer/bundles/contrib/dev/firephp.py | passy/glashammer-rdrei | 9e56952d70b961d8945707469aad9cfe97c4e7b7 | [
"MIT"
] | null | null | null | glashammer/bundles/contrib/dev/firephp.py | passy/glashammer-rdrei | 9e56952d70b961d8945707469aad9cfe97c4e7b7 | [
"MIT"
] | null | null | null |
# adapted from http://code.cmlenz.net/diva/browser/trunk/diva/ext/firephp.py
# (c) 2008 C. M. Lenz, Glashammer Developers
from time import time
from logging import Handler
from simplejson import dumps
from glashammer.utils import local
from glashammer.utils.log import add_log_handler
LEVEL_MAP = {'DEBUG': 'LOG', ... | 29.735849 | 85 | 0.64467 | 191 | 1,576 | 5.157068 | 0.486911 | 0.091371 | 0.106599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04789 | 0.218274 | 1,576 | 52 | 86 | 30.307692 | 0.751623 | 0.126269 | 0 | 0 | 0 | 0 | 0.14515 | 0.03574 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0.028571 | 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 |
d45e087825bbd78e5f7c80d653a07a247d6d0607 | 5,667 | py | Python | neural machine translation/data_load.py | quanganh1997polytechnique/Project-DL-Seq2Seq | de7b118ec865af60ee44c5a463f59ac548e76794 | [
"MIT"
] | null | null | null | neural machine translation/data_load.py | quanganh1997polytechnique/Project-DL-Seq2Seq | de7b118ec865af60ee44c5a463f59ac548e76794 | [
"MIT"
] | null | null | null | neural machine translation/data_load.py | quanganh1997polytechnique/Project-DL-Seq2Seq | de7b118ec865af60ee44c5a463f59ac548e76794 | [
"MIT"
] | null | null | null | """
** deeplean-ai.com **
created by :: GauravBh1010tt
contact :: gauravbhatt.deeplearn@gmail.com
"""
from __future__ import unicode_literals, print_function, division
import math
import re
import os
import numpy as np
import torch
import random
import warnings
from io import open
import unicodedata
import matplotlib... | 26.85782 | 77 | 0.640551 | 767 | 5,667 | 4.6206 | 0.273794 | 0.030474 | 0.021163 | 0.026806 | 0.228273 | 0.172122 | 0.106095 | 0.106095 | 0.080135 | 0.080135 | 0 | 0.018889 | 0.224634 | 5,667 | 211 | 78 | 26.85782 | 0.787665 | 0.072878 | 0 | 0.164474 | 0 | 0 | 0.062607 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131579 | false | 0 | 0.092105 | 0.026316 | 0.335526 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d45fdaebbda1324d20d94461daceb3de9d2ddda0 | 9,041 | py | Python | tests/channels/mock.py | febuiles/two1-python | 88704487dba7715f97a0980781d4c0efb2ea7fc4 | [
"BSD-2-Clause-FreeBSD"
] | 415 | 2016-06-10T00:46:55.000Z | 2021-10-16T00:56:06.000Z | tests/channels/mock.py | febuiles/two1-python | 88704487dba7715f97a0980781d4c0efb2ea7fc4 | [
"BSD-2-Clause-FreeBSD"
] | 25 | 2016-06-11T13:48:59.000Z | 2021-01-05T11:19:30.000Z | tests/channels/mock.py | febuiles/two1-python | 88704487dba7715f97a0980781d4c0efb2ea7fc4 | [
"BSD-2-Clause-FreeBSD"
] | 109 | 2016-06-11T05:17:05.000Z | 2021-12-22T11:02:22.000Z | import codecs
import two1.bitcoin as bitcoin
import two1.bitcoin.utils as utils
import two1.channels.server as server
import two1.channels.blockchain as blockchain
import two1.channels.statemachine as statemachine
class MockTwo1Wallet:
"""Mock Two1 Wallet interface for unit testing. See two1.wallet.Two1Wallet fo... | 41.856481 | 181 | 0.685433 | 1,049 | 9,041 | 5.676835 | 0.180172 | 0.046851 | 0.038287 | 0.046348 | 0.306465 | 0.237615 | 0.15382 | 0.092024 | 0.064148 | 0.064148 | 0 | 0.02523 | 0.219666 | 9,041 | 215 | 182 | 42.051163 | 0.818852 | 0.143347 | 0 | 0.079646 | 0 | 0 | 0.148462 | 0.025451 | 0 | 0 | 0.001723 | 0 | 0.132743 | 1 | 0.150442 | false | 0 | 0.053097 | 0.044248 | 0.442478 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d46043e7e3ee4e0fd2cb4b7196675dd558bf6307 | 2,256 | py | Python | dev/Gems/CloudGemMetric/v1/AWS/common-code/LoadTest/LoadTest__CloudGemMetric.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 8 | 2019-10-07T16:33:47.000Z | 2020-12-07T03:59:58.000Z | dev/Gems/CloudGemMetric/v1/AWS/common-code/LoadTest/LoadTest__CloudGemMetric.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | null | null | null | dev/Gems/CloudGemMetric/v1/AWS/common-code/LoadTest/LoadTest__CloudGemMetric.py | jeikabu/lumberyard | 07228c605ce16cbf5aaa209a94a3cb9d6c1a4115 | [
"AML"
] | 5 | 2020-08-27T20:44:18.000Z | 2021-08-21T22:54:11.000Z | # All or portions of this file Copyright (c) Amazon.com, Inc. or its affiliates or
# its licensors.
#
# For complete copyright and license terms please see the LICENSE at the root of this
# distribution (the "License"). All use of this software is governed by the License,
# or, if provided, by the license below or the ... | 35.809524 | 143 | 0.734486 | 289 | 2,256 | 5.49827 | 0.422145 | 0.044053 | 0.026432 | 0.020768 | 0.118943 | 0.086847 | 0.086847 | 0.086847 | 0.086847 | 0.086847 | 0 | 0.000544 | 0.18484 | 2,256 | 62 | 144 | 36.387097 | 0.863513 | 0.313387 | 0 | 0.068966 | 0 | 0 | 0.162516 | 0.067497 | 0 | 0 | 0 | 0 | 0 | 1 | 0.172414 | false | 0 | 0.137931 | 0 | 0.448276 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d463a1c535606eac893445765a893c90912ac9f7 | 756 | py | Python | python/django-app/config/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | python/django-app/config/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | 23 | 2020-08-15T15:18:32.000Z | 2022-02-26T13:49:05.000Z | python/django-app/config/urls.py | mp5maker/library | b4d2eea70ae0da9d917285569031edfb4d8ab9fc | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import (static, )
urlpatterns = [
path('admin/', admin.site.urls),
path('api-auth/', include('rest_framework.urls', namespace="rest_framework")),
path('api/v1/', include('su... | 34.363636 | 82 | 0.702381 | 92 | 756 | 5.652174 | 0.347826 | 0.076923 | 0.053846 | 0.061538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003072 | 0.138889 | 756 | 22 | 83 | 34.363636 | 0.795699 | 0 | 0 | 0.111111 | 0 | 0 | 0.174373 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.277778 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d463c99b03f786a3e4037e0d14d949c40fda1d7c | 1,492 | py | Python | config.py | proteus1991/RawVSR | 56686859498a07c83fde191fa1fc109d7aafb3da | [
"MIT"
] | 24 | 2021-01-05T02:34:09.000Z | 2022-03-15T12:26:21.000Z | config.py | baowenbo/RawVSR | 56686859498a07c83fde191fa1fc109d7aafb3da | [
"MIT"
] | 3 | 2021-01-11T17:43:58.000Z | 2021-02-04T19:59:36.000Z | config.py | baowenbo/RawVSR | 56686859498a07c83fde191fa1fc109d7aafb3da | [
"MIT"
] | 4 | 2021-01-25T08:45:04.000Z | 2021-12-22T09:14:35.000Z | """
paper: Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
file: config.py
author: Xiaohong Liu
date: 17/09/19
"""
def get_config(args):
scale = args.scale_ratio
save_tag = args.save_image
if scale not in [2, 4]:
raise Exception('scale {} is not supported!'.fo... | 31.083333 | 91 | 0.432306 | 150 | 1,492 | 4.08 | 0.526667 | 0.053922 | 0.055556 | 0.058824 | 0.248366 | 0.248366 | 0.088235 | 0.088235 | 0 | 0 | 0 | 0.060642 | 0.436327 | 1,492 | 47 | 92 | 31.744681 | 0.667063 | 0.095845 | 0 | 0.121212 | 0 | 0 | 0.273676 | 0.089485 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0 | 0 | 0.060606 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d4672e7716b611a83d36c41530dceaaadca832b5 | 4,018 | py | Python | src/datasets/emnist.py | bjfranks/Classification-AD | 4eecd6648bb6b54662944921924c8960c2ca236c | [
"MIT"
] | 27 | 2020-05-30T16:27:31.000Z | 2022-03-28T16:45:25.000Z | src/datasets/emnist.py | bjfranks/Classification-AD | 4eecd6648bb6b54662944921924c8960c2ca236c | [
"MIT"
] | 3 | 2021-04-22T10:01:55.000Z | 2022-01-13T02:50:31.000Z | src/datasets/emnist.py | bjfranks/Classification-AD | 4eecd6648bb6b54662944921924c8960c2ca236c | [
"MIT"
] | 7 | 2020-06-15T16:31:23.000Z | 2022-03-23T09:33:32.000Z | from torch.utils.data import Subset
from PIL import Image
from torchvision.datasets import EMNIST
from base.torchvision_dataset import TorchvisionDataset
from PIL.ImageFilter import GaussianBlur
import numpy as np
import torch
import torchvision.transforms as transforms
import random
class EMNIST_Dataset(Torchvision... | 39.009709 | 117 | 0.639373 | 499 | 4,018 | 4.971944 | 0.262525 | 0.041919 | 0.050786 | 0.017735 | 0.25393 | 0.212011 | 0.212011 | 0.188634 | 0.112858 | 0.079 | 0 | 0.007797 | 0.265804 | 4,018 | 102 | 118 | 39.392157 | 0.83322 | 0.162768 | 0 | 0.193548 | 0 | 0 | 0.002433 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048387 | false | 0 | 0.145161 | 0 | 0.241935 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |