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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8577638bf4ccf5772ce85b6e85457d1e027d3afe | 1,507 | py | Python | parallel_esn/example/power_consumption_oneshot.py | zblanks/parallel_esn | 25a979d0863ce54a4a588f4216dc473d4e9c5e8a | [
"BSD-2-Clause"
] | 7 | 2019-05-06T00:32:24.000Z | 2021-06-03T14:49:23.000Z | parallel_esn/example/power_consumption_oneshot.py | zblanks/parallel_esn | 25a979d0863ce54a4a588f4216dc473d4e9c5e8a | [
"BSD-2-Clause"
] | 8 | 2019-04-20T04:51:38.000Z | 2020-02-25T22:25:34.000Z | parallel_esn/example/power_consumption_oneshot.py | zblanks/parallel_esn | 25a979d0863ce54a4a588f4216dc473d4e9c5e8a | [
"BSD-2-Clause"
] | 2 | 2019-04-19T11:05:51.000Z | 2020-10-15T20:40:26.000Z | from pkg_resources import resource_filename
import numpy as np
import matplotlib.pyplot as plt
from ..esn import ESN
from ..utils import chunk_data, standardize_traindata, scale_data
# Example using real data, one shot prediction
# Load data
fname = resource_filename('parallel_esn', 'data/PJM_Load_hourly.csv')
data =... | 32.06383 | 69 | 0.741208 | 241 | 1,507 | 4.510373 | 0.460581 | 0.033119 | 0.027599 | 0.027599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023538 | 0.126078 | 1,507 | 46 | 70 | 32.76087 | 0.801822 | 0.197744 | 0 | 0 | 0 | 0 | 0.121565 | 0.019983 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8577a2ae24790cf5340a14689ec14a5be4fe05c0 | 7,522 | py | Python | tests/st/explainer/test_runner.py | Vincent34/mindspore | a39a60878a46e7e9cb02db788c0bca478f2fa6e5 | [
"Apache-2.0"
] | 2 | 2021-07-08T13:10:42.000Z | 2021-11-08T02:48:57.000Z | tests/st/explainer/test_runner.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | tests/st/explainer/test_runner.py | peixinhou/mindspore | fcb2ec2779b753e95c762cf292b23bd81d1f561b | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 37.422886 | 109 | 0.626695 | 962 | 7,522 | 4.747401 | 0.230769 | 0.032844 | 0.049923 | 0.025619 | 0.41559 | 0.358441 | 0.335888 | 0.319247 | 0.271732 | 0.248741 | 0 | 0.022579 | 0.246344 | 7,522 | 200 | 110 | 37.61 | 0.783031 | 0.130417 | 0 | 0.338346 | 0 | 0 | 0.031825 | 0 | 0 | 0 | 0 | 0 | 0.195489 | 1 | 0.105263 | false | 0 | 0.120301 | 0.030075 | 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 |
8578189186a9c269dc0edf7eade08b1bd089bcd5 | 28,956 | py | Python | GUI src/app.py | xngst/press-graphs | 0fdb1b402fc948cf66c1d0c66c726e7ecf6f15e5 | [
"MIT"
] | null | null | null | GUI src/app.py | xngst/press-graphs | 0fdb1b402fc948cf66c1d0c66c726e7ecf6f15e5 | [
"MIT"
] | null | null | null | GUI src/app.py | xngst/press-graphs | 0fdb1b402fc948cf66c1d0c66c726e7ecf6f15e5 | [
"MIT"
] | null | null | null | """
PRESSGRAPHS DASH CLIENT
WEB GUI interface for PressGraphs WebAPI
"""
###################################
# IMPORTS
###################################
#builtins
from datetime import datetime
from datetime import timedelta
#3rd party
import dash
import dash_core_components as dcc
import dash_html_components as html... | 29.486762 | 140 | 0.521239 | 3,242 | 28,956 | 4.467921 | 0.118754 | 0.040041 | 0.034035 | 0.037556 | 0.682775 | 0.630376 | 0.584743 | 0.553055 | 0.524888 | 0.524888 | 0 | 0.017098 | 0.2749 | 28,956 | 981 | 141 | 29.51682 | 0.672795 | 0.030598 | 0 | 0.570175 | 0 | 0 | 0.210388 | 0.033978 | 0 | 0 | 0 | 0.006116 | 0 | 1 | 0.026316 | false | 0 | 0.019006 | 0 | 0.096491 | 0.001462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
857b09fd9aab40fed40cd686483e3386e8a76e25 | 1,467 | py | Python | algorithms/bubblesort.py | KellyHwong/Algorithms | 50cfc37c9b3694bb5ae9f13bb1e923e4f2142bca | [
"MIT"
] | 3 | 2019-06-20T07:09:57.000Z | 2019-07-01T07:04:46.000Z | algorithms/bubblesort.py | KellyHwong/Algorithms | 50cfc37c9b3694bb5ae9f13bb1e923e4f2142bca | [
"MIT"
] | null | null | null | algorithms/bubblesort.py | KellyHwong/Algorithms | 50cfc37c9b3694bb5ae9f13bb1e923e4f2142bca | [
"MIT"
] | 1 | 2019-11-22T07:36:28.000Z | 2019-11-22T07:36:28.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Date : Jul-13-19 18:02
# @Author : Your Name (you@example.org)
# @Link : http://example.org
import os
import random
import pysnooper
import time
import csv
from quicksort import quicksort
def bubblesort(l: list):
for i in range(len(l)):
for j in r... | 23.66129 | 60 | 0.524881 | 195 | 1,467 | 3.805128 | 0.358974 | 0.107817 | 0.012129 | 0.052561 | 0.142857 | 0.130728 | 0.09973 | 0.09973 | 0.09973 | 0.09973 | 0 | 0.029592 | 0.33197 | 1,467 | 61 | 61 | 24.04918 | 0.727551 | 0.177914 | 0 | 0.153846 | 0 | 0 | 0.048346 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.153846 | 0 | 0.230769 | 0.051282 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
857e81aeb8f91a043f2183d0e0e74e4b51951da7 | 890 | py | Python | codes/Others/Longest-Palindromic-Substring/script.py | kotori-y/LeetCode-Code | cf42265401d5fdedd8ba95974e93f5c005694e86 | [
"MIT"
] | 3 | 2021-04-23T02:02:23.000Z | 2021-05-15T01:01:24.000Z | codes/Others/Longest-Palindromic-Substring/script.py | kotori-y/LeetCode-Code | cf42265401d5fdedd8ba95974e93f5c005694e86 | [
"MIT"
] | null | null | null | codes/Others/Longest-Palindromic-Substring/script.py | kotori-y/LeetCode-Code | cf42265401d5fdedd8ba95974e93f5c005694e86 | [
"MIT"
] | null | null | null | '''
Description:
Author: Kotori Y
Date: 2021-04-22 09:14:19
LastEditors: Kotori Y
LastEditTime: 2021-04-22 09:14:20
FilePath: \LeetCode-Code\codes\Others\Longest-Palindromic-Substring\script.py
AuthorMail: kotori@cbdd.me
'''
class Solution:
def boo(self, s, left, right):
if (left < 0) or (right >= len(s))... | 29.666667 | 77 | 0.569663 | 124 | 890 | 4.08871 | 0.435484 | 0.063116 | 0.047337 | 0.039448 | 0.086785 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0592 | 0.297753 | 890 | 30 | 78 | 29.666667 | 0.752 | 0.24382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8580ed32aedebf1af35027d068875f6c4fc89997 | 6,319 | py | Python | 8-2.machine_learning_ra_pbmc_bulk.py | yxaxaxa/sle_and_hd_single_cell_analysis | 139a3f6bd9ee34bec77b7ab3e1ec81a8c716d992 | [
"MIT"
] | null | null | null | 8-2.machine_learning_ra_pbmc_bulk.py | yxaxaxa/sle_and_hd_single_cell_analysis | 139a3f6bd9ee34bec77b7ab3e1ec81a8c716d992 | [
"MIT"
] | null | null | null | 8-2.machine_learning_ra_pbmc_bulk.py | yxaxaxa/sle_and_hd_single_cell_analysis | 139a3f6bd9ee34bec77b7ab3e1ec81a8c716d992 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[5]:
import pandas as pd
import numpy as np
import glob,os
from glob import iglob
#import scanpy as sc
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import RocCurveDisplay
from sklearn.datasets import load_wine
from skle... | 24.303846 | 106 | 0.743789 | 1,022 | 6,319 | 4.440313 | 0.253425 | 0.03636 | 0.021155 | 0.033054 | 0.413398 | 0.342221 | 0.318422 | 0.29286 | 0.254738 | 0.197444 | 0 | 0.039181 | 0.103339 | 6,319 | 259 | 107 | 24.397683 | 0.761737 | 0.150815 | 0 | 0.309524 | 0 | 0 | 0.155202 | 0.080349 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.246032 | 0 | 0.246032 | 0.119048 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8582f63940499d89e8d668d18b7810768499bc46 | 782 | py | Python | python/tests/test_statement.py | vlachvojta/Theatrical-Players-Refactoring-Kata | a26968f52e680ad041cfdd67572256a93e80f14a | [
"MIT"
] | 69 | 2019-08-07T07:48:29.000Z | 2022-03-25T13:51:27.000Z | python/tests/test_statement.py | vlachvojta/Theatrical-Players-Refactoring-Kata | a26968f52e680ad041cfdd67572256a93e80f14a | [
"MIT"
] | 16 | 2019-08-08T10:12:59.000Z | 2022-03-22T12:42:48.000Z | python/tests/test_statement.py | vlachvojta/Theatrical-Players-Refactoring-Kata | a26968f52e680ad041cfdd67572256a93e80f14a | [
"MIT"
] | 69 | 2019-08-07T13:21:38.000Z | 2022-03-31T17:38:21.000Z | import json
import pytest
from approvaltests import verify
from approvaltests.utils import get_adjacent_file
from statement import statement
def test_example_statement():
with open(get_adjacent_file("invoice.json")) as f:
invoice = json.loads(f.read())
with open(get_adjacent_file("plays.json")) as f... | 30.076923 | 64 | 0.719949 | 111 | 782 | 4.873874 | 0.315315 | 0.101664 | 0.138632 | 0.140481 | 0.441774 | 0.414048 | 0.303142 | 0.303142 | 0.303142 | 0.18854 | 0 | 0 | 0.172634 | 782 | 25 | 65 | 31.28 | 0.836167 | 0 | 0 | 0.210526 | 0 | 0 | 0.089514 | 0.028133 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.105263 | false | 0 | 0.263158 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
858551bc894c37253f0341f789dc0c08a3fb1059 | 2,702 | py | Python | Chapter06/stan_example.py | PacktPublishing/Mastering-Machine-Learning-Algorithms-Second-Edition | 706d76fdb91b8c59223879cb236ce2bb6cc7e768 | [
"MIT"
] | 40 | 2019-08-23T13:33:12.000Z | 2022-02-24T12:48:41.000Z | Chapter06/stan_example.py | PacktPublishing/Mastering-Machine-Learning-Algorithms-Second-Edition | 706d76fdb91b8c59223879cb236ce2bb6cc7e768 | [
"MIT"
] | null | null | null | Chapter06/stan_example.py | PacktPublishing/Mastering-Machine-Learning-Algorithms-Second-Edition | 706d76fdb91b8c59223879cb236ce2bb6cc7e768 | [
"MIT"
] | 33 | 2019-10-21T09:47:51.000Z | 2022-01-14T17:21:54.000Z | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# Install using pip install pystan
# It requires a C/C++ compiler
import pystan
# Set random seed for reproducibility
np.random.seed(1000)
# Number of observations
nb_samples = 10
if __name__ == "__main__":
# Create the observations
... | 27.571429 | 65 | 0.57883 | 358 | 2,702 | 4.159218 | 0.27933 | 0.065816 | 0.034923 | 0.040296 | 0.16454 | 0.111484 | 0.111484 | 0.028207 | 0 | 0 | 0 | 0.036209 | 0.304959 | 2,702 | 97 | 66 | 27.85567 | 0.756656 | 0.122872 | 0 | 0.059701 | 0 | 0 | 0.335314 | 0.009338 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.059701 | 0 | 0.059701 | 0.014925 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
858760cd43df7a53576a57dc1a9f62fa326e32a2 | 7,377 | py | Python | api/imgur/imgur_api.py | CharlieCorner/pymage_downloader | d145d2fe8666d4dbbc104bb563fc43415bd8802c | [
"Apache-2.0"
] | null | null | null | api/imgur/imgur_api.py | CharlieCorner/pymage_downloader | d145d2fe8666d4dbbc104bb563fc43415bd8802c | [
"Apache-2.0"
] | 9 | 2018-11-04T23:20:22.000Z | 2020-04-30T05:19:07.000Z | api/imgur/imgur_api.py | CharlieCorner/pymage_downloader | d145d2fe8666d4dbbc104bb563fc43415bd8802c | [
"Apache-2.0"
] | null | null | null | import json
import logging
from datetime import datetime
import requests
from api.imgur import *
from exceptions.pymage_exceptions import NotAbleToDownloadException, ImgurAPICommunicationException
from utils.utils import extract_imgur_id_from_url
LOGGER = logging.getLogger(__name__)
class ImgurAPI:
@staticmet... | 41.212291 | 121 | 0.638471 | 854 | 7,377 | 5.251756 | 0.24356 | 0.0466 | 0.031215 | 0.042363 | 0.363657 | 0.333779 | 0.278261 | 0.263545 | 0.234114 | 0.234114 | 0 | 0.008626 | 0.277077 | 7,377 | 179 | 122 | 41.212291 | 0.832365 | 0.208893 | 0 | 0.223404 | 0 | 0 | 0.153488 | 0.023135 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085106 | false | 0 | 0.074468 | 0.010638 | 0.234043 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85899347be22ba0685e74fcc5e8475db930f138a | 2,305 | py | Python | debexpo/tests/test_utils.py | jadonk/debexpo | a022160492e40cd02bafc413a3cb009551fd6f8d | [
"MIT"
] | null | null | null | debexpo/tests/test_utils.py | jadonk/debexpo | a022160492e40cd02bafc413a3cb009551fd6f8d | [
"MIT"
] | null | null | null | debexpo/tests/test_utils.py | jadonk/debexpo | a022160492e40cd02bafc413a3cb009551fd6f8d | [
"MIT"
] | 2 | 2017-01-20T23:08:40.000Z | 2019-08-13T20:30:00.000Z | # -*- coding: utf-8 -*-
#
# test_utils.py — Test cases for debexpo.lib.utils
#
# This file is part of debexpo - https://alioth.debian.org/projects/debexpo/
#
# Copyright © 2008 Jonny Lamb <jonny@debian.org>
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and... | 33.897059 | 124 | 0.695879 | 304 | 2,305 | 5.217105 | 0.483553 | 0.055486 | 0.056747 | 0.035939 | 0.108449 | 0.034048 | 0 | 0 | 0 | 0 | 0 | 0.017496 | 0.206508 | 2,305 | 67 | 125 | 34.402985 | 0.848004 | 0.608243 | 0 | 0 | 0 | 0 | 0.250313 | 0.105131 | 0 | 0 | 0 | 0 | 0.294118 | 1 | 0.176471 | false | 0 | 0.176471 | 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 |
85998c2ca2be37ec4bb630ebbb2d3b94c9c6145d | 5,732 | py | Python | T3 2D - Tau Calculator.py | sohdesune/SUTD-projects | 1061bd7e2756dcf4ea6f7e1ed0411f9b761e9bc1 | [
"MIT"
] | null | null | null | T3 2D - Tau Calculator.py | sohdesune/SUTD-projects | 1061bd7e2756dcf4ea6f7e1ed0411f9b761e9bc1 | [
"MIT"
] | null | null | null | T3 2D - Tau Calculator.py | sohdesune/SUTD-projects | 1061bd7e2756dcf4ea6f7e1ed0411f9b761e9bc1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 12 00:58:08 2018
@author: sohdesune
"""
'''
ln|T_w - T| - ln|T_w - T_amb| = -(1/tau) * t
1. Extract raw data for first 20s from csv
2. Plot complicated ln function vs t
3. Compute tau
4. [Remove outliers]
5. Write tau vs T_w to txt ... | 37.464052 | 93 | 0.539253 | 913 | 5,732 | 3.313253 | 0.278204 | 0.008595 | 0.023802 | 0.019835 | 0.13124 | 0.087273 | 0.05686 | 0.05686 | 0.027107 | 0.027107 | 0 | 0.11977 | 0.241103 | 5,732 | 153 | 94 | 37.464052 | 0.575632 | 0.087404 | 0 | 0.119565 | 0 | 0 | 0.223795 | 0.017387 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021739 | false | 0 | 0.021739 | 0 | 0.054348 | 0.195652 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
859c6ae60388a87f3a8c1e4b27fc07a9168d7730 | 1,656 | py | Python | boidfunc/endpoint_func.py | travelingnight/boidload | 55df24c3f22104fdf67219d2f7286f71df80c2e7 | [
"MIT"
] | null | null | null | boidfunc/endpoint_func.py | travelingnight/boidload | 55df24c3f22104fdf67219d2f7286f71df80c2e7 | [
"MIT"
] | null | null | null | boidfunc/endpoint_func.py | travelingnight/boidload | 55df24c3f22104fdf67219d2f7286f71df80c2e7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Allan Millar
Various functions related to sockets, ip's, port's etc.
"""
import sys, random, socket
from contextlib import closing
def find_port():
# This will only ever be run when the machine has already been
# captured, and from the machine itself.
HOST = "localhost"
... | 36.8 | 95 | 0.63285 | 238 | 1,656 | 4.37395 | 0.592437 | 0.04611 | 0.034582 | 0.038425 | 0.065322 | 0.065322 | 0.065322 | 0 | 0 | 0 | 0 | 0.031489 | 0.290459 | 1,656 | 45 | 96 | 36.8 | 0.854468 | 0.532609 | 0 | 0 | 0 | 0 | 0.042838 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.041667 | 0.083333 | 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 |
859f202a2f2f1138c22ae3526261447b406a220f | 3,339 | py | Python | yt_playlist_downloader.py | lautisilber/youtube_playlist_downloader | 95f24f3a059a6efb02a81f352b08186651fd6aae | [
"MIT"
] | null | null | null | yt_playlist_downloader.py | lautisilber/youtube_playlist_downloader | 95f24f3a059a6efb02a81f352b08186651fd6aae | [
"MIT"
] | null | null | null | yt_playlist_downloader.py | lautisilber/youtube_playlist_downloader | 95f24f3a059a6efb02a81f352b08186651fd6aae | [
"MIT"
] | null | null | null | '''
created by Lautaro Silbergleit on 2021
'''
import re
from pytube import Playlist, YouTube
from tqdm import tqdm
from os import makedirs, listdir, remove
from os.path import join, exists, isfile
import json
from time import sleep
SENSITIVE_CHARACTERS = ['%', ':']
def main():
PLAYLIST_URL_PATH = 'playlist_urls.j... | 31.8 | 126 | 0.698712 | 500 | 3,339 | 4.486 | 0.266 | 0.049041 | 0.053054 | 0.065537 | 0.119483 | 0.057958 | 0.03745 | 0.03745 | 0.03745 | 0.03745 | 0 | 0.00548 | 0.180294 | 3,339 | 104 | 127 | 32.105769 | 0.81403 | 0.116502 | 0 | 0.121951 | 0 | 0.02439 | 0.144853 | 0.008862 | 0 | 0 | 0 | 0 | 0.012195 | 1 | 0.012195 | false | 0 | 0.085366 | 0 | 0.109756 | 0.097561 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85a07ddbba59bb16c26817858612ab97a63c481d | 1,344 | py | Python | 2019/day13.py | kyz/adventofcode | b3dd544624a8fc313ca1fad0d2f02f53bd79ce3d | [
"MIT"
] | null | null | null | 2019/day13.py | kyz/adventofcode | b3dd544624a8fc313ca1fad0d2f02f53bd79ce3d | [
"MIT"
] | null | null | null | 2019/day13.py | kyz/adventofcode | b3dd544624a8fc313ca1fad0d2f02f53bd79ce3d | [
"MIT"
] | null | null | null | import intcode
def breakout_demo(p):
cpu = intcode.computer(p)
screen = dict()
while True:
try:
x, y, tile = next(cpu), next(cpu), next(cpu)
screen[x, y] = tile
except StopIteration:
return bricks_remaining(screen)
def breakout(p):
p[0] = 2
cpu =... | 30.545455 | 79 | 0.530506 | 202 | 1,344 | 3.504951 | 0.336634 | 0.059322 | 0.025424 | 0.053672 | 0.234463 | 0.135593 | 0 | 0 | 0 | 0 | 0 | 0.048458 | 0.324405 | 1,344 | 43 | 80 | 31.255814 | 0.731278 | 0.122768 | 0 | 0.228571 | 0 | 0 | 0.046036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.028571 | 0.028571 | 0.2 | 0.057143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85a0e2d9282c759866463e075085469b476b17b8 | 1,650 | py | Python | syncany/calculaters/__init__.py | snower/syncany | 32d32907a155618678d5b2335cd8a70192ed1e6f | [
"MIT"
] | 5 | 2018-08-15T13:45:30.000Z | 2021-03-18T01:51:47.000Z | syncany/calculaters/__init__.py | snower/syncany | 32d32907a155618678d5b2335cd8a70192ed1e6f | [
"MIT"
] | null | null | null | syncany/calculaters/__init__.py | snower/syncany | 32d32907a155618678d5b2335cd8a70192ed1e6f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# 18/8/15
# create by: snower
from .calculater import Calculater
from .builtin import *
from .conversion_calculater import ConvCalculater
from ..errors import CalculaterUnknownException
CALCULATERS = {
"": Calculater,
"type": TypeCalculater,
'range': RangeCalculater,
"add": Add... | 27.04918 | 75 | 0.667273 | 144 | 1,650 | 7.625 | 0.722222 | 0.038251 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005331 | 0.204242 | 1,650 | 61 | 76 | 27.04918 | 0.830922 | 0.028485 | 0 | 0 | 0 | 0 | 0.111875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85a25605545d4e4f832fe9a3447b0a972658df24 | 1,094 | py | Python | sweet/features/gabor.py | charlienewey/penumbra-python | a848adf5628a37339354f5ed5a747b03cc4df9bd | [
"BSD-3-Clause"
] | 1 | 2017-10-16T03:47:51.000Z | 2017-10-16T03:47:51.000Z | sweet/features/gabor.py | charlienewey/penumbra-python | a848adf5628a37339354f5ed5a747b03cc4df9bd | [
"BSD-3-Clause"
] | null | null | null | sweet/features/gabor.py | charlienewey/penumbra-python | a848adf5628a37339354f5ed5a747b03cc4df9bd | [
"BSD-3-Clause"
] | null | null | null | import math
import skimage.filters
def variance_difference(image_1, image_2):
def _var_dif(img_1, img_2):
return math.sqrt((img_1.var() - img_2.var()) ** 2)
if isinstance(image_1, list):
var_dif = 0
for i in range(0, len(image_1)):
var_dif += _var_dif(image_1[i], image_2[... | 27.35 | 87 | 0.610603 | 168 | 1,094 | 3.714286 | 0.220238 | 0.115385 | 0.070513 | 0.076923 | 0.605769 | 0.166667 | 0.166667 | 0.070513 | 0.070513 | 0 | 0 | 0.043424 | 0.263254 | 1,094 | 39 | 88 | 28.051282 | 0.730769 | 0 | 0 | 0.233333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.066667 | 0.066667 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85a26fa5e4287545bb2aafe69a4a95320c01eec9 | 3,530 | py | Python | log.py | mpagliaro98/multi-drive-backup-tool | f4f00f59c6fc3f2fb3786b76f807e160794f43c6 | [
"MIT"
] | null | null | null | log.py | mpagliaro98/multi-drive-backup-tool | f4f00f59c6fc3f2fb3786b76f807e160794f43c6 | [
"MIT"
] | null | null | null | log.py | mpagliaro98/multi-drive-backup-tool | f4f00f59c6fc3f2fb3786b76f807e160794f43c6 | [
"MIT"
] | null | null | null | """
log.py
Author: Michael Pagliaro
Utility functions specific to writing log files.
"""
from datetime import datetime
import sys
import traceback
import os
import util
# The log file to be written to whenever log() is called
LOG_FILE = None
LOGS_DIRECTORY = "logs"
def logger(func):
"""
Creates a decorato... | 36.020408 | 108 | 0.687535 | 540 | 3,530 | 4.362963 | 0.303704 | 0.062394 | 0.033956 | 0.017827 | 0.191426 | 0.170204 | 0.147284 | 0.133277 | 0.078523 | 0.067912 | 0 | 0.002148 | 0.208782 | 3,530 | 98 | 109 | 36.020408 | 0.841389 | 0.478754 | 0 | 0.142857 | 0 | 0 | 0.092912 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.119048 | 0 | 0.333333 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85a33483e90e1c90f85785e7d45cc06e684432cd | 589 | py | Python | CH04/comma_code.py | kaifee-haque/Automate-the-Boring-Stuff-Solutions | 5acbf9a397dc4aa000ebd9e8f6d79d0ee5287fef | [
"MIT"
] | null | null | null | CH04/comma_code.py | kaifee-haque/Automate-the-Boring-Stuff-Solutions | 5acbf9a397dc4aa000ebd9e8f6d79d0ee5287fef | [
"MIT"
] | null | null | null | CH04/comma_code.py | kaifee-haque/Automate-the-Boring-Stuff-Solutions | 5acbf9a397dc4aa000ebd9e8f6d79d0ee5287fef | [
"MIT"
] | null | null | null | #! python3
def comma_string(_list):
"""Takes a list of items and formats it into a string, separated by
commas like plain English.
Args:
_list: The list of items.
Returns:
result: The string of list items separated by commas."""
result = ""
for i, character in enumerate(... | 22.653846 | 71 | 0.561969 | 73 | 589 | 4.438356 | 0.547945 | 0.067901 | 0.067901 | 0.061728 | 0.104938 | 0.104938 | 0 | 0 | 0 | 0 | 0 | 0.007371 | 0.308998 | 589 | 25 | 72 | 23.56 | 0.788698 | 0.349745 | 0 | 0 | 0 | 0 | 0.098039 | 0 | 0.090909 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0 | 0 | 0.090909 | 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 |
85abdadf7f6975446f101ad9487de12633ee5082 | 564 | py | Python | settings.py | Zeebra38/Schedule_bot | 903f7cde755940f226cf8077c2c35550d0291d51 | [
"MIT"
] | null | null | null | settings.py | Zeebra38/Schedule_bot | 903f7cde755940f226cf8077c2c35550d0291d51 | [
"MIT"
] | null | null | null | settings.py | Zeebra38/Schedule_bot | 903f7cde755940f226cf8077c2c35550d0291d51 | [
"MIT"
] | null | null | null | from DataBase import Schedule
weekdays_en = {'Monday': 'Понедельник',
'Tuesday': 'Вторник',
'Wednesday': 'Среда',
'Thursday': 'Четверг',
'Friday': 'Пятница',
'Saturday': 'Суббота',
'Sunday': 'Воскресенье'}
weekdays_ru = {'Понеде... | 31.333333 | 39 | 0.457447 | 36 | 564 | 7.111111 | 0.583333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.386525 | 564 | 17 | 40 | 33.176471 | 0.739884 | 0 | 0 | 0 | 0 | 0 | 0.37234 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85b14c976895976f7613389ae5b2fd3070acf95a | 789 | py | Python | reporting-plugins/add-to-xml-note/edit-note.py | qbicsoftware/etl-scripts | e1cea11b5f55fb218e7d4c8d49bdd3c5fe6c62c6 | [
"MIT"
] | 2 | 2018-04-20T15:48:02.000Z | 2021-11-30T17:39:28.000Z | reporting-plugins/add-to-xml-note/edit-note.py | qbicsoftware/etl-scripts | e1cea11b5f55fb218e7d4c8d49bdd3c5fe6c62c6 | [
"MIT"
] | 41 | 2017-07-19T11:17:26.000Z | 2021-09-28T12:10:49.000Z | reporting-plugins/add-to-xml-note/edit-note.py | qbicsoftware/etl-scripts | e1cea11b5f55fb218e7d4c8d49bdd3c5fe6c62c6 | [
"MIT"
] | 2 | 2017-04-27T10:32:33.000Z | 2018-02-20T09:26:12.000Z | def wrap(element, input):
return "<"+element+">"+input+"</"+element+">\n"
def process(tr, parameters, tableBuilder):
id = parameters.get("id")
idtype = len(id.split("/"))
#sample
if(idtype == 3):
entity = tr.getSampleForUpdate(id)
#experiment
else:
entity = tr.getExperimentForUpdate(id)
user = ... | 25.451613 | 73 | 0.6109 | 98 | 789 | 4.897959 | 0.418367 | 0.108333 | 0.0375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001558 | 0.186312 | 789 | 31 | 74 | 25.451613 | 0.746106 | 0.020279 | 0 | 0 | 0 | 0 | 0.132124 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0.038462 | 0.115385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85b1d6a22c0d0090a75d779c87cff9038cdd496d | 994 | py | Python | core/main.py | rafael-junio/JustAChip8PythonEmulator | ff9c2d67aeaf4f87ff3b5fd6f0231702587455a7 | [
"MIT"
] | null | null | null | core/main.py | rafael-junio/JustAChip8PythonEmulator | ff9c2d67aeaf4f87ff3b5fd6f0231702587455a7 | [
"MIT"
] | null | null | null | core/main.py | rafael-junio/JustAChip8PythonEmulator | ff9c2d67aeaf4f87ff3b5fd6f0231702587455a7 | [
"MIT"
] | null | null | null | from core.cpu.instructions import Cpu
from core.cpu.config.memory_starter import MemoryStarter
from core.cpu.config.memory_config import Config
from core.reader.file_reader import FileReader
class Main:
def __init__(self):
self.chip8_cpu = Cpu()
self.memory_management = MemoryStarter(self.chip8_c... | 38.230769 | 95 | 0.71328 | 132 | 994 | 5.045455 | 0.310606 | 0.108108 | 0.144144 | 0.051051 | 0.342342 | 0.198198 | 0 | 0 | 0 | 0 | 0 | 0.013906 | 0.204225 | 994 | 25 | 96 | 39.76 | 0.828066 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.2 | 0 | 0.4 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85b65c485dd500cc66bdbb6dadc0a74ee700639d | 2,179 | py | Python | Bot/src/unclassified/motivation.py | AryamanSrii/Mecha-Karen | 4a5c7318f8c458495eee72a13be5db8a0113ed28 | [
"Apache-2.0"
] | 181 | 2021-05-26T17:37:40.000Z | 2022-02-26T08:36:07.000Z | Bot/src/unclassified/motivation.py | AryamanSrii/Mecha-Karen | 4a5c7318f8c458495eee72a13be5db8a0113ed28 | [
"Apache-2.0"
] | 24 | 2021-05-14T19:47:34.000Z | 2021-09-06T17:16:17.000Z | Bot/src/unclassified/motivation.py | AryamanSrii/Mecha-Karen | 4a5c7318f8c458495eee72a13be5db8a0113ed28 | [
"Apache-2.0"
] | 16 | 2021-07-02T09:40:56.000Z | 2022-01-21T10:07:08.000Z | # !/usr/bin/python
"""
Copyright ©️: 2020 Seniatical / _-*™#7519
License: Apache 2.0
A permissive license whose main conditions require preservation of copyright and license notices.
Contributors provide an express grant of patent rights.
Licensed works, modifications, and larger works may be distributed under ... | 35.721311 | 114 | 0.658559 | 275 | 2,179 | 5.185455 | 0.501818 | 0.02805 | 0.042076 | 0.046283 | 0.101683 | 0.076438 | 0.058906 | 0.058906 | 0.058906 | 0 | 0 | 0.013789 | 0.234511 | 2,179 | 60 | 115 | 36.316667 | 0.838729 | 0.267554 | 0 | 0.052632 | 0 | 0 | 0.079188 | 0.016361 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.210526 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85b702a0495ec20a4916f8eef85a4c0805c48829 | 1,882 | py | Python | curami/analysis/pair_matching_word_base.py | EBIBioSamples/curami-v2 | 671ec5f1d48b866c6ccb24fcddfb80610c377e07 | [
"Apache-2.0"
] | null | null | null | curami/analysis/pair_matching_word_base.py | EBIBioSamples/curami-v2 | 671ec5f1d48b866c6ccb24fcddfb80610c377e07 | [
"Apache-2.0"
] | 2 | 2020-07-02T13:56:03.000Z | 2021-06-01T23:51:49.000Z | curami/analysis/pair_matching_word_base.py | EBIBioSamples/curami-v2 | 671ec5f1d48b866c6ccb24fcddfb80610c377e07 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
from nltk.stem import LancasterStemmer, WordNetLemmatizer
from nltk.tokenize import sent_tokenize, word_tokenize
from curami.commons import file_utils
'''
Match pair of attributes for their base form similarity
Generates matched attribute file by measuring the syntactic similarity between the base... | 37.64 | 115 | 0.655154 | 216 | 1,882 | 5.481481 | 0.328704 | 0.129223 | 0.016892 | 0.023649 | 0.374155 | 0.327703 | 0.327703 | 0.327703 | 0.327703 | 0.27027 | 0 | 0.018284 | 0.244421 | 1,882 | 49 | 116 | 38.408163 | 0.814346 | 0.007439 | 0 | 0.2 | 0 | 0 | 0.096833 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.133333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85b977a716a0ab42b9f5ac5d7528fcff4dd7ef93 | 7,154 | py | Python | knee/zmethod.py | mariolpantunes/knee | fa4678a55f1f2d161f982b8214541cf8f392444d | [
"MIT"
] | 2 | 2021-09-03T02:59:10.000Z | 2021-12-28T16:32:28.000Z | knee/zmethod.py | mariolpantunes/knee | fa4678a55f1f2d161f982b8214541cf8f392444d | [
"MIT"
] | 9 | 2021-06-05T08:10:30.000Z | 2022-01-05T20:50:32.000Z | knee/zmethod.py | mariolpantunes/knee | fa4678a55f1f2d161f982b8214541cf8f392444d | [
"MIT"
] | 4 | 2020-12-04T07:04:34.000Z | 2021-09-03T02:59:19.000Z | # coding: utf-8
__author__ = 'Tyler Estro'
__version__ = '0.1'
__email__ = 'testro@cs.stonybrook.edu'
__status__ = 'Development'
import numpy as np
import logging
import uts.gradient as grad
from uts.zscore import zscore_array
logger = logging.getLogger(__name__)
def map_index(a:np.ndarray, b:np.ndarray) -> np.n... | 41.836257 | 146 | 0.588063 | 1,014 | 7,154 | 3.994083 | 0.205128 | 0.057037 | 0.023704 | 0.018765 | 0.393333 | 0.360494 | 0.344198 | 0.344198 | 0.328395 | 0.30716 | 0 | 0.025069 | 0.286273 | 7,154 | 170 | 147 | 42.082353 | 0.768116 | 0.331004 | 0 | 0.223529 | 0 | 0 | 0.034207 | 0.005196 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035294 | false | 0 | 0.047059 | 0 | 0.152941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85b9a2ded21bb7e26efb4522b699d759a2fe4d28 | 1,496 | py | Python | services/logo_finder_service.py | fedsp/site2data | 5e049c3b96875283bf854ece6796abfd44690954 | [
"MIT"
] | null | null | null | services/logo_finder_service.py | fedsp/site2data | 5e049c3b96875283bf854ece6796abfd44690954 | [
"MIT"
] | null | null | null | services/logo_finder_service.py | fedsp/site2data | 5e049c3b96875283bf854ece6796abfd44690954 | [
"MIT"
] | null | null | null | from config import settings
import re
class LogoFinderService():
def __init__(self,soup_obj,website_url):
self.soup_obj = soup_obj
self.website_url = website_url
self.scrapping_settings = settings['ScrappingSettings']
def find_logo(self) -> str:
'''returns a list of scrapped lo... | 42.742857 | 106 | 0.600936 | 169 | 1,496 | 5.12426 | 0.402367 | 0.057737 | 0.038106 | 0.053118 | 0.168591 | 0.168591 | 0 | 0 | 0 | 0 | 0 | 0.003865 | 0.308155 | 1,496 | 35 | 107 | 42.742857 | 0.83285 | 0.028075 | 0 | 0.064516 | 0 | 0 | 0.162181 | 0.036577 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.064516 | 0 | 0.225806 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85bbef976d587c77a873695fe486aefcf8beff7e | 796 | py | Python | spinbot/gh/util.py | rantav/spinnaker | 98fb0c77db8fc723fd705ae6b663a8cbbd348fdb | [
"Apache-2.0"
] | null | null | null | spinbot/gh/util.py | rantav/spinnaker | 98fb0c77db8fc723fd705ae6b663a8cbbd348fdb | [
"Apache-2.0"
] | null | null | null | spinbot/gh/util.py | rantav/spinnaker | 98fb0c77db8fc723fd705ae6b663a8cbbd348fdb | [
"Apache-2.0"
] | 1 | 2018-05-27T01:49:01.000Z | 2018-05-27T01:49:01.000Z | import github
def IssueRepo(issue):
return '/'.join(issue.url.split('/')[-4:-2])
def HasLabel(issue, name):
label = next((l for l in issue.get_labels() if l.name == name), None)
return label is not None
def AddLabel(gh, issue, name, create=True):
if HasLabel(issue, name):
return
label = ... | 26.533333 | 79 | 0.614322 | 108 | 796 | 4.481481 | 0.435185 | 0.07438 | 0.070248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00339 | 0.258794 | 796 | 29 | 80 | 27.448276 | 0.816949 | 0 | 0 | 0.083333 | 0 | 0 | 0.100503 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.041667 | 0.041667 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85bfbd13cd57659c834b764ccdc661565f83c01a | 3,820 | py | Python | qp/composite.py | meshch/qp | 4f19841769c644ffff3eff297cacf6aeb2ac2cbc | [
"MIT"
] | 4 | 2016-12-06T17:51:45.000Z | 2019-11-15T12:27:24.000Z | qp/composite.py | meshch/qp | 4f19841769c644ffff3eff297cacf6aeb2ac2cbc | [
"MIT"
] | 74 | 2016-11-15T22:11:56.000Z | 2022-03-30T15:38:03.000Z | qp/composite.py | meshch/qp | 4f19841769c644ffff3eff297cacf6aeb2ac2cbc | [
"MIT"
] | 7 | 2017-04-04T19:46:21.000Z | 2021-05-19T06:02:07.000Z | import numpy as np
import scipy as sp
from scipy import stats as sps
import scipy.optimize as op
import qp
class composite(object):
def __init__(self, components, vb=True):
"""
A probability distribution that is a linear combination of scipy.stats.rv_continuous objects
Parameters
... | 29.612403 | 127 | 0.548953 | 458 | 3,820 | 4.534935 | 0.28821 | 0.046221 | 0.065479 | 0.064035 | 0.341358 | 0.276842 | 0.222918 | 0.222918 | 0.222918 | 0.222918 | 0 | 0.006342 | 0.339529 | 3,820 | 128 | 128 | 29.84375 | 0.816885 | 0.353403 | 0 | 0.065217 | 0 | 0 | 0.021425 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.108696 | 0.021739 | 0.369565 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85bfeb01c7c84ab97b4d582a2ab7af8b0450f27b | 1,628 | py | Python | test/PR_test/unit_test/layers/tensorflow/test_reflection_padding_2d.py | DwijayDS/fastestimator | 9b288cb2bd870f971ec4cee09d0b3205e1316a94 | [
"Apache-2.0"
] | 57 | 2019-05-21T21:29:26.000Z | 2022-02-23T05:55:21.000Z | test/PR_test/unit_test/layers/tensorflow/test_reflection_padding_2d.py | vbvg2008/fastestimator | 6061a4fbbeb62a2194ef82ba8017f651710d0c65 | [
"Apache-2.0"
] | 93 | 2019-05-23T18:36:07.000Z | 2022-03-23T17:15:55.000Z | test/PR_test/unit_test/layers/tensorflow/test_reflection_padding_2d.py | vbvg2008/fastestimator | 6061a4fbbeb62a2194ef82ba8017f651710d0c65 | [
"Apache-2.0"
] | 47 | 2019-05-09T15:41:37.000Z | 2022-03-26T17:00:08.000Z | # Copyright 2020 The FastEstimator Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 41.74359 | 109 | 0.59828 | 231 | 1,628 | 4.151515 | 0.467532 | 0.062565 | 0.012513 | 0.016684 | 0.289885 | 0.183525 | 0.10219 | 0.10219 | 0.10219 | 0.10219 | 0 | 0.047148 | 0.19226 | 1,628 | 38 | 110 | 42.842105 | 0.682129 | 0.407248 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.166667 | false | 0 | 0.222222 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
85c403c65750bffb34aefa6e46026cbba51be791 | 533 | py | Python | Aulas python downloads/ex064.py | Osmair-riamso/AulasPython | 647f51182a46f34af6d9b5cff8511182c6cad4a4 | [
"MIT"
] | null | null | null | Aulas python downloads/ex064.py | Osmair-riamso/AulasPython | 647f51182a46f34af6d9b5cff8511182c6cad4a4 | [
"MIT"
] | null | null | null | Aulas python downloads/ex064.py | Osmair-riamso/AulasPython | 647f51182a46f34af6d9b5cff8511182c6cad4a4 | [
"MIT"
] | null | null | null | '''Crie um programa que leia vários números inteiros pelo teclado.
O programa só vai parar quando o usuário digitar o valor 999,
que é a condição de parada. No final, mostre quantos números
foram digitados e qual foi a soma entre eles (desconsiderando o flag). '''
print("Descubra a senha!")
n = cont = soma = 0
n = in... | 29.611111 | 85 | 0.677298 | 86 | 533 | 4.197674 | 0.651163 | 0.027701 | 0.049862 | 0.083102 | 0.127424 | 0.127424 | 0 | 0 | 0 | 0 | 0 | 0.019139 | 0.21576 | 533 | 17 | 86 | 31.352941 | 0.844498 | 0.482176 | 0 | 0.25 | 0 | 0 | 0.41573 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
a40f6ef49b65b50190c5c179cd273379d51e94de | 1,285 | py | Python | test/conftest.py | starcraftman/new-awesome | 59f779e2aa0b1aab2eca2aaf351f789f2833c4a9 | [
"BSD-3-Clause"
] | 6 | 2016-03-09T04:17:42.000Z | 2020-03-02T18:46:28.000Z | test/conftest.py | starcraftman/new-awesome | 59f779e2aa0b1aab2eca2aaf351f789f2833c4a9 | [
"BSD-3-Clause"
] | null | null | null | test/conftest.py | starcraftman/new-awesome | 59f779e2aa0b1aab2eca2aaf351f789f2833c4a9 | [
"BSD-3-Clause"
] | null | null | null | """
Global fixtures to be reused.
"""
from __future__ import absolute_import
import sys
import mock
import pytest
import test.common as tc
@pytest.fixture(scope='session', autouse=True)
def setup_test_bed(request):
"""
Fixture sets up the testing environment for this web application.
Session scope, exec... | 21.779661 | 69 | 0.659144 | 170 | 1,285 | 4.764706 | 0.429412 | 0.034568 | 0.066667 | 0.051852 | 0.303704 | 0.264198 | 0.264198 | 0.264198 | 0.264198 | 0.264198 | 0 | 0.004073 | 0.235798 | 1,285 | 58 | 70 | 22.155172 | 0.820774 | 0.352529 | 0 | 0.32 | 0 | 0 | 0.095425 | 0.027451 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.2 | 0 | 0.32 | 0.16 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4109a9f5fcfaf5a3730a40e38d6e3b2c4713fea | 1,167 | py | Python | vizsgaremek/test_con_feed_list.py | boat83/conduit | eaef1c9f34dc7909f42022237815b37405e1885c | [
"MIT"
] | 1 | 2021-08-16T15:37:15.000Z | 2021-08-16T15:37:15.000Z | vizsgaremek/test_con_feed_list.py | boat83/conduit | eaef1c9f34dc7909f42022237815b37405e1885c | [
"MIT"
] | null | null | null | vizsgaremek/test_con_feed_list.py | boat83/conduit | eaef1c9f34dc7909f42022237815b37405e1885c | [
"MIT"
] | null | null | null | def test_con_feed_list():
from selenium import webdriver
import time
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
opt = Options()
opt.headless = True
driver = webdriver.Chrome(ChromeDriverManager().install(), options=opt)
... | 33.342857 | 110 | 0.689803 | 153 | 1,167 | 5.045752 | 0.522876 | 0.064767 | 0.064767 | 0.098446 | 0.186529 | 0.124352 | 0.124352 | 0.124352 | 0 | 0 | 0 | 0.012346 | 0.167095 | 1,167 | 34 | 111 | 34.323529 | 0.781893 | 0.055698 | 0 | 0 | 0 | 0 | 0.221311 | 0.15847 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0.041667 | 0.166667 | 0 | 0.208333 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a41ba8d2cbc5f6d76cae7b7cd03a312bdb6d6150 | 1,046 | py | Python | payment/migrations/0010_auto__del_field_paymentpackage_name.py | rif/conference-registration | 2e83e98d68eff5c8ab6ae3a79db910e2e81c58ae | [
"BSD-3-Clause"
] | null | null | null | payment/migrations/0010_auto__del_field_paymentpackage_name.py | rif/conference-registration | 2e83e98d68eff5c8ab6ae3a79db910e2e81c58ae | [
"BSD-3-Clause"
] | null | null | null | payment/migrations/0010_auto__del_field_paymentpackage_name.py | rif/conference-registration | 2e83e98d68eff5c8ab6ae3a79db910e2e81c58ae | [
"BSD-3-Clause"
] | null | null | null | # encoding: utf-8
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Deleting field 'PaymentPackage.name'
db.delete_column('payment_paymentpackage', 'name')
def backwa... | 32.6875 | 117 | 0.624283 | 110 | 1,046 | 5.872727 | 0.609091 | 0.06192 | 0.086687 | 0.123839 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003722 | 0.229446 | 1,046 | 31 | 118 | 33.741935 | 0.797767 | 0.122371 | 0 | 0 | 0 | 0 | 0.40919 | 0.222101 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.210526 | 0 | 0.473684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a420b5f8c2547bd492b541121354ca50d503baab | 10,273 | py | Python | code/palmnet/core/layer_replacer.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | 1 | 2021-07-15T07:05:18.000Z | 2021-07-15T07:05:18.000Z | code/palmnet/core/layer_replacer.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | 2 | 2021-07-15T06:12:47.000Z | 2021-07-16T10:05:36.000Z | code/palmnet/core/layer_replacer.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | null | null | null | from abc import abstractmethod, ABCMeta
import pickle
import keras
# from self.keras_module.models import Model
# from self.keras_module.layers import InputLayer
# from self.keras_module.layers import Dense, Conv2D
from palmnet.core.palminizable import Palminizable
from palmnet.utils import get_idx_last_layer_of_class... | 44.280172 | 180 | 0.682566 | 1,332 | 10,273 | 4.943694 | 0.148649 | 0.053303 | 0.051936 | 0.043432 | 0.439028 | 0.35262 | 0.276689 | 0.236598 | 0.179347 | 0.163857 | 0 | 0.00255 | 0.23664 | 10,273 | 231 | 181 | 44.471861 | 0.837159 | 0.166164 | 0 | 0.148936 | 0 | 0 | 0.050494 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12766 | false | 0.028369 | 0.056738 | 0.021277 | 0.255319 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a422fb3416879c75a86139388d6af9e719ed842b | 1,469 | py | Python | kivyoav/emotion_feedback.py | yglazner/guess_the_bless | 99176759b3f3fb6a4fe0b4d32f70be582a0640af | [
"MIT"
] | 1 | 2017-07-18T10:25:43.000Z | 2017-07-18T10:25:43.000Z | kivyoav/emotion_feedback.py | yglazner/guess_the_bless | 99176759b3f3fb6a4fe0b4d32f70be582a0640af | [
"MIT"
] | null | null | null | kivyoav/emotion_feedback.py | yglazner/guess_the_bless | 99176759b3f3fb6a4fe0b4d32f70be582a0640af | [
"MIT"
] | null | null | null | '''
Created on Jun 29, 2017
@author: yglazner
'''
from kivy.uix.widget import Widget
from kivy.properties import *
from kivy.uix.boxlayout import BoxLayout
from kivy.base import runTouchApp
from kivy.uix.slider import Slider
Slider
class EmotionFeedBack(Widget):
'''
EmotionFeedBack - a widget that lets the use... | 28.25 | 92 | 0.607897 | 176 | 1,469 | 4.9375 | 0.414773 | 0.04603 | 0.037975 | 0.034522 | 0.085155 | 0.085155 | 0 | 0 | 0 | 0 | 0 | 0.013121 | 0.273656 | 1,469 | 52 | 93 | 28.25 | 0.801312 | 0.095303 | 0 | 0 | 0 | 0 | 0.040738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.15625 | 0.03125 | 0.5 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4233cffbf5beccc2cc2ebc7c2720114c2cce820 | 1,793 | py | Python | solutions/day12/test_lib.py | benjaminarjun/AdventOfCode2020 | b9ca2f5c6121c401eb79911dbbbd0d3188f38034 | [
"MIT"
] | 1 | 2020-12-04T17:57:24.000Z | 2020-12-04T17:57:24.000Z | solutions/day12/test_lib.py | benjaminarjun/AdventOfCode2020 | b9ca2f5c6121c401eb79911dbbbd0d3188f38034 | [
"MIT"
] | null | null | null | solutions/day12/test_lib.py | benjaminarjun/AdventOfCode2020 | b9ca2f5c6121c401eb79911dbbbd0d3188f38034 | [
"MIT"
] | null | null | null | import unittest
from .results import NavInstruction, Position, Ship
class TestNavInstruction(unittest.TestCase):
def test_nav_instruction_from_str(self):
instr_str = 'F10'
instr = NavInstruction.from_str(instr_str)
self.assertEqual('F', instr.direction)
self.assertEqual(10, instr.... | 24.902778 | 53 | 0.597323 | 207 | 1,793 | 5.014493 | 0.318841 | 0.130058 | 0.066474 | 0.023121 | 0.196532 | 0.090559 | 0.090559 | 0 | 0 | 0 | 0 | 0.033858 | 0.29169 | 1,793 | 71 | 54 | 25.253521 | 0.783465 | 0 | 0 | 0.115385 | 0 | 0 | 0.010597 | 0 | 0 | 0 | 0 | 0 | 0.173077 | 1 | 0.173077 | false | 0 | 0.038462 | 0.038462 | 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 |
a4239e95f4d189e6430c6fd1dbf406378ad3126c | 4,507 | py | Python | scripts used in article/clustering_evaluation.py | BoyanZhou/starstr | 03280b0b280ef5be351b7ff285e90541baed3d63 | [
"Apache-2.0"
] | null | null | null | scripts used in article/clustering_evaluation.py | BoyanZhou/starstr | 03280b0b280ef5be351b7ff285e90541baed3d63 | [
"Apache-2.0"
] | 1 | 2018-09-06T16:50:46.000Z | 2018-09-06T16:50:46.000Z | scripts used in article/clustering_evaluation.py | BoyanZhou/starstr | 03280b0b280ef5be351b7ff285e90541baed3d63 | [
"Apache-2.0"
] | null | null | null | import sys
import numpy as np
A = int(sys.argv[2]) # start of the tree threshold
B = int(sys.argv[3]) # end of the tree threshold
N = int(sys.argv[1]) # repeat number now
threshold_list = [i/1000.0 for i in range(A, B)]
# compare cluster result with the nwk_tree
for i in threshold_list:
branch_length_thre... | 38.194915 | 103 | 0.652319 | 658 | 4,507 | 4.170213 | 0.165654 | 0.033163 | 0.080175 | 0.026239 | 0.351312 | 0.252915 | 0.21137 | 0.135569 | 0.112974 | 0.112974 | 0 | 0.014943 | 0.242734 | 4,507 | 117 | 104 | 38.521368 | 0.789042 | 0.127579 | 0 | 0.129032 | 0 | 0 | 0.055201 | 0.041145 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.021505 | 0 | 0.021505 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a423ebdcfa4aac7d6ec8a3988d72013b56326556 | 236 | py | Python | celery/worker_a/__init__.py | tim-barnes/lang-python | 3dbbc7f38cec598e32bd1a06827246dcab3a0ced | [
"MIT"
] | 1 | 2021-06-16T23:43:27.000Z | 2021-06-16T23:43:27.000Z | celery/worker_a/__init__.py | tim-barnes/lang-python | 3dbbc7f38cec598e32bd1a06827246dcab3a0ced | [
"MIT"
] | null | null | null | celery/worker_a/__init__.py | tim-barnes/lang-python | 3dbbc7f38cec598e32bd1a06827246dcab3a0ced | [
"MIT"
] | null | null | null | from celery import Celery
app = Celery(__name__, broker="redis://redis//")
# app.conf.task_routes = {
# 'worker_a.pulse': {'queue': 'worker_a'}
# }
@app.task
def pulse(i):
print(f"Pulse: {i} ({__name__})")
return i + 1000
| 19.666667 | 48 | 0.618644 | 33 | 236 | 4.090909 | 0.606061 | 0.103704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020619 | 0.177966 | 236 | 11 | 49 | 21.454545 | 0.675258 | 0.29661 | 0 | 0 | 0 | 0 | 0.234568 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4254aa2b6ed63ccd6175aec14c799cb09949454 | 960 | py | Python | main.py | MobinNesari81/Syquation_Solver | 9bfa5963d6ecdf0a529603daaee56900dc4b60a9 | [
"MIT"
] | 1 | 2022-01-11T13:39:26.000Z | 2022-01-11T13:39:26.000Z | main.py | MobinNesari81/Syquation_Solver | 9bfa5963d6ecdf0a529603daaee56900dc4b60a9 | [
"MIT"
] | null | null | null | main.py | MobinNesari81/Syquation_Solver | 9bfa5963d6ecdf0a529603daaee56900dc4b60a9 | [
"MIT"
] | null | null | null | # Main file which solve equation
import processor
coefficient_rows = int(input("Please enter coefficient matrix row numbers: "))
coefficient_columns = int(input("Please enter coefficient matrix column numbers: "))
coefficient_matrix = [[] for _ in range(coefficient_rows)]
print("Please enter coefficients in one row the... | 48 | 84 | 0.760417 | 132 | 960 | 5.371212 | 0.325758 | 0.093089 | 0.101551 | 0.124118 | 0.299013 | 0.228491 | 0 | 0 | 0 | 0 | 0 | 0.007101 | 0.119792 | 960 | 19 | 85 | 50.526316 | 0.831953 | 0.03125 | 0 | 0.111111 | 0 | 0 | 0.275862 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.055556 | 0 | 0.055556 | 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 |
a42671651e3b71dc6f8347faea546f685c85f61f | 9,000 | py | Python | falcon_heavy/core/types/formats.py | NotJustAToy/falcon-heavy | 2e96f649daafc2707a01e38f403f1ce4268f4629 | [
"Apache-2.0"
] | 21 | 2020-01-02T10:44:42.000Z | 2022-02-11T14:27:05.000Z | falcon_heavy/core/types/formats.py | NotJustAToy/falcon-heavy | 2e96f649daafc2707a01e38f403f1ce4268f4629 | [
"Apache-2.0"
] | 2 | 2020-02-13T21:06:56.000Z | 2020-09-27T16:47:25.000Z | falcon_heavy/core/types/formats.py | NotJustAToy/falcon-heavy | 2e96f649daafc2707a01e38f403f1ce4268f4629 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019-2020 Not Just A Toy Corp.
#
# 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... | 26.162791 | 111 | 0.613333 | 1,024 | 9,000 | 5.290039 | 0.203125 | 0.03046 | 0.018276 | 0.047997 | 0.602178 | 0.55455 | 0.539782 | 0.532583 | 0.492893 | 0.477386 | 0 | 0.028502 | 0.267111 | 9,000 | 343 | 112 | 26.239067 | 0.792753 | 0.106111 | 0 | 0.502392 | 0 | 0.004785 | 0.082137 | 0.006047 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07177 | false | 0 | 0.086124 | 0.004785 | 0.416268 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4292f81184da60467cc60d71bcf08055c6aed74 | 1,008 | py | Python | Desafio086 & 87 - Matriz 3x3.py | tmoura1981/Python_Exercicios | c873e2758dfd9058d2c2d83b5b38b522c6264029 | [
"MIT"
] | 1 | 2021-11-25T11:19:59.000Z | 2021-11-25T11:19:59.000Z | Desafio086 & 87 - Matriz 3x3.py | tmoura1981/Python_Exercicios | c873e2758dfd9058d2c2d83b5b38b522c6264029 | [
"MIT"
] | null | null | null | Desafio086 & 87 - Matriz 3x3.py | tmoura1981/Python_Exercicios | c873e2758dfd9058d2c2d83b5b38b522c6264029 | [
"MIT"
] | null | null | null | valores = [[], [], [],
[], [], [],
[], [], []]
num = linha = coluna = pos = soma = soma_ter_col = maior = 0
titulo = 'Matriz 3x3'
print(titulo.center(50, '='))
for v in range(9): # 9 valores da matriz
num = int(input(f'Linha[{linha}] Coluna[{coluna}]: '))
valores[pos].append(num)
po... | 37.333333 | 91 | 0.529762 | 147 | 1,008 | 3.578231 | 0.387755 | 0.068441 | 0.057034 | 0.057034 | 0.079848 | 0.079848 | 0 | 0 | 0 | 0 | 0 | 0.051913 | 0.27381 | 1,008 | 26 | 92 | 38.769231 | 0.666667 | 0.118056 | 0 | 0.076923 | 0 | 0 | 0.371461 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.346154 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a42c0be3c130f39da6d363c285104e88b9933080 | 911 | py | Python | dags/word_count_dag.py | firasesbai/airflow-spark-jobs | 1925a20c212185843fcfb4c9349419bf8c418662 | [
"Apache-2.0"
] | null | null | null | dags/word_count_dag.py | firasesbai/airflow-spark-jobs | 1925a20c212185843fcfb4c9349419bf8c418662 | [
"Apache-2.0"
] | null | null | null | dags/word_count_dag.py | firasesbai/airflow-spark-jobs | 1925a20c212185843fcfb4c9349419bf8c418662 | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from airflow.models import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.providers.apache.spark.operators.spark_submit import SparkSubmitOperator
spark_master = "spark://spark-master:7077"
input_path = "/usr/local/spark/data/ebook"
now = datetime.now()
wit... | 27.606061 | 85 | 0.706915 | 119 | 911 | 5.226891 | 0.436975 | 0.07074 | 0.062701 | 0.054662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006579 | 0.165752 | 911 | 32 | 86 | 28.46875 | 0.811842 | 0 | 0 | 0 | 0 | 0 | 0.206367 | 0.12404 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16 | 0 | 0.16 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a42c53b95de25e5c3963b4ce490f26df00cbe658 | 1,446 | py | Python | faker/providers/phone_number/en_NG/__init__.py | djunehor/faker-1 | e478c437fe3c05b02b7deffa43252f622ea45732 | [
"MIT"
] | null | null | null | faker/providers/phone_number/en_NG/__init__.py | djunehor/faker-1 | e478c437fe3c05b02b7deffa43252f622ea45732 | [
"MIT"
] | null | null | null | faker/providers/phone_number/en_NG/__init__.py | djunehor/faker-1 | e478c437fe3c05b02b7deffa43252f622ea45732 | [
"MIT"
] | null | null | null | # coding=utf-8
from __future__ import unicode_literals
from .. import Provider as PhoneNumberProvider
class Provider(PhoneNumberProvider):
formats = (
# National & Mobile dialing
'0{{area_code}}#######',
'0{{area_code}} ### ####',
'0{{area_code}}-###-####',
# International ... | 24.508475 | 68 | 0.45574 | 135 | 1,446 | 4.711111 | 0.644444 | 0.125786 | 0.103774 | 0.110063 | 0.146226 | 0.146226 | 0.103774 | 0.103774 | 0.103774 | 0.103774 | 0 | 0.136033 | 0.334025 | 1,446 | 58 | 69 | 24.931034 | 0.524403 | 0.126556 | 0 | 0.15 | 0 | 0 | 0.26261 | 0.115292 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0.025 | 0.225 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a42cb12c2f9525fc1e01261772b1444db88cd2dc | 3,794 | py | Python | EnemyStats.py | rohwid/rpg-stats-generator | 5a1fcdf713ec5d0af3cbf6dce3bcb21e6e363519 | [
"MIT"
] | null | null | null | EnemyStats.py | rohwid/rpg-stats-generator | 5a1fcdf713ec5d0af3cbf6dce3bcb21e6e363519 | [
"MIT"
] | null | null | null | EnemyStats.py | rohwid/rpg-stats-generator | 5a1fcdf713ec5d0af3cbf6dce3bcb21e6e363519 | [
"MIT"
] | null | null | null | import datetime
"""
STATS GENERATOR FOR TURN BASED OR ACTION RPG (ROLE PLAYING GAMES)
By: ROHMAN WIDIYANTO
GitHub: http://github.com/rohwid/
All component or object defined separately, here's the reason:
- Levels: Because sometimes the characters won't start from 1st level.
- Magic Point: Because sometimes t... | 28.961832 | 92 | 0.655245 | 485 | 3,794 | 4.950515 | 0.34433 | 0.049979 | 0.049979 | 0.028322 | 0.217826 | 0.188671 | 0.167847 | 0.121616 | 0.121616 | 0.121616 | 0 | 0.019271 | 0.24776 | 3,794 | 130 | 93 | 29.184615 | 0.822004 | 0.122562 | 0 | 0.269231 | 0 | 0 | 0.136089 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019231 | false | 0 | 0.038462 | 0 | 0.057692 | 0.019231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a42e5d68ea357f4b16c9eced0c8eecd76665797a | 590 | py | Python | experiments/spanmaskhistogram/report_writer.py | WojciechMula/parsing-int-series | f0a45c8b1251018e52dac9ebf1d98e8dfb705755 | [
"BSD-2-Clause"
] | 19 | 2018-04-20T06:51:42.000Z | 2022-02-24T02:12:00.000Z | experiments/spanmaskhistogram/report_writer.py | WojciechMula/parsing-int-series | f0a45c8b1251018e52dac9ebf1d98e8dfb705755 | [
"BSD-2-Clause"
] | 2 | 2018-04-20T09:53:37.000Z | 2018-04-27T19:01:16.000Z | experiments/spanmaskhistogram/report_writer.py | WojciechMula/parsing-int-series | f0a45c8b1251018e52dac9ebf1d98e8dfb705755 | [
"BSD-2-Clause"
] | 3 | 2019-02-25T19:26:51.000Z | 2020-11-04T00:50:42.000Z | class RestWriter(object):
def __init__(self, file, report):
self.file = file
self.report = report
def write(self, restsection):
assert len(restsection) >= 1
for title, table in self.report:
self.write_header(title, restsection[0], 80)
self.file.write... | 23.6 | 56 | 0.537288 | 76 | 590 | 4.092105 | 0.355263 | 0.128617 | 0.067524 | 0.051447 | 0.064309 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014851 | 0.315254 | 590 | 24 | 57 | 24.583333 | 0.754951 | 0 | 0 | 0.176471 | 0 | 0 | 0.020374 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 1 | 0.176471 | false | 0 | 0 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a42e667bd6ebb350e9c0d59466ded20c39b8c4ae | 9,005 | py | Python | pywgrib2_xr/dataset.py | yt87/pywgrib2_xr | 5c49eaaee12948ecc2f2aff526a9e51e6d4d98b5 | [
"0BSD"
] | 11 | 2021-01-05T03:26:51.000Z | 2022-02-15T02:44:39.000Z | pywgrib2_xr/dataset.py | yt87/pywgrib2_xr | 5c49eaaee12948ecc2f2aff526a9e51e6d4d98b5 | [
"0BSD"
] | 2 | 2020-12-18T02:35:08.000Z | 2021-07-11T13:01:53.000Z | pywgrib2_xr/dataset.py | yt87/pywgrib2_xr | 5c49eaaee12948ecc2f2aff526a9e51e6d4d98b5 | [
"0BSD"
] | null | null | null | from collections import defaultdict
from functools import partial
import logging
from typing import (
Any,
Callable,
DefaultDict,
Dict,
List,
NamedTuple,
Sequence,
Tuple,
Union,
cast,
)
try:
from numpy.typing import ArrayLike
except ImportError:
ArrayLike = Any
import n... | 33.726592 | 88 | 0.549139 | 963 | 9,005 | 4.981308 | 0.228453 | 0.0271 | 0.013759 | 0.011882 | 0.193246 | 0.144882 | 0.133625 | 0.102564 | 0.035439 | 0.035439 | 0 | 0.003363 | 0.339589 | 9,005 | 266 | 89 | 33.853383 | 0.803262 | 0.113937 | 0 | 0.17734 | 0 | 0 | 0.052293 | 0 | 0 | 0 | 0 | 0.003759 | 0.009852 | 1 | 0.034483 | false | 0 | 0.059113 | 0.004926 | 0.147783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a42fe444580c5e09c79668e45d2c77ef6d352594 | 1,473 | py | Python | stog/simple_predict.py | mg9/stog | 49d0d1ebc1ae666f79e43466fbdc33b1b12f1adf | [
"MIT"
] | null | null | null | stog/simple_predict.py | mg9/stog | 49d0d1ebc1ae666f79e43466fbdc33b1b12f1adf | [
"MIT"
] | null | null | null | stog/simple_predict.py | mg9/stog | 49d0d1ebc1ae666f79e43466fbdc33b1b12f1adf | [
"MIT"
] | null | null | null | import h5py,os
from transformers import T5Tokenizer, T5Model, T5ForConditionalGeneration
if __name__ == "__main__":
snt_0 = "amrgraphize: establish model in Industrial Innovation </s>"
snt_1 = "amrgraphize: raise standard to in excess of CITY_1 's 1 magnitude could leave authority with some breathing spa... | 32.021739 | 181 | 0.699932 | 195 | 1,473 | 5.107692 | 0.492308 | 0.044177 | 0.02008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036942 | 0.209776 | 1,473 | 45 | 182 | 32.733333 | 0.818729 | 0.086897 | 0 | 0 | 0 | 0.12 | 0.477085 | 0.018032 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.08 | 0 | 0.08 | 0.16 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a431ecb8dce6d4bde6d87983adda3ad4f20a538e | 23,627 | py | Python | Experiments/evaluate_CAPe.py | Lorenzo-Perini/Active_PU_Learning | 83b608993586420bb84d1b4e6fc6c7cb561a382f | [
"Apache-2.0"
] | 10 | 2020-07-22T09:16:55.000Z | 2022-01-16T12:23:44.000Z | Experiments/evaluate_CAPe.py | Lorenzo-Perini/Active_PU_Learning | 83b608993586420bb84d1b4e6fc6c7cb561a382f | [
"Apache-2.0"
] | null | null | null | Experiments/evaluate_CAPe.py | Lorenzo-Perini/Active_PU_Learning | 83b608993586420bb84d1b4e6fc6c7cb561a382f | [
"Apache-2.0"
] | 1 | 2021-06-28T06:37:54.000Z | 2021-06-28T06:37:54.000Z | import numpy as np
import pandas as pd
from multiprocessing import Pool, freeze_support, cpu_count
from sklearn.metrics import confusion_matrix
from sklearn.preprocessing import MinMaxScaler
from sklearn.neighbors import KernelDensity
from sklearn.model_selection import StratifiedKFold
from anomatools.models import SSD... | 54.946512 | 129 | 0.629365 | 3,409 | 23,627 | 4.198005 | 0.105603 | 0.016351 | 0.020124 | 0.018587 | 0.632031 | 0.602124 | 0.562784 | 0.54252 | 0.518552 | 0.498009 | 0 | 0.02498 | 0.274813 | 23,627 | 429 | 130 | 55.074592 | 0.81026 | 0.450629 | 0 | 0.175879 | 0 | 0 | 0.022092 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035176 | false | 0 | 0.080402 | 0 | 0.150754 | 0.01005 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4331a72af0d0109165afb03b5f32236c6ec4e77 | 28,470 | py | Python | __main__.py | wbrxcorp/genpack | 12cbbbf8306cb825c65d76ef55e85d24f1db0f90 | [
"MIT"
] | null | null | null | __main__.py | wbrxcorp/genpack | 12cbbbf8306cb825c65d76ef55e85d24f1db0f90 | [
"MIT"
] | null | null | null | __main__.py | wbrxcorp/genpack | 12cbbbf8306cb825c65d76ef55e85d24f1db0f90 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# Copyright (c) 2021 Walbrix Corporation
# https://github.com/wbrxcorp/genpack/blob/main/LICENSE
import os,re,argparse,subprocess,glob,json,uuid
import importlib.resources
import urllib.request
import initlib,init,util
import qemu
from sudo import sudo,Tee
BASE_URL="http://ftp.iij.ad.jp/pub/linux/... | 47.292359 | 216 | 0.638778 | 3,967 | 28,470 | 4.398286 | 0.128309 | 0.04436 | 0.048143 | 0.035591 | 0.414718 | 0.344968 | 0.276192 | 0.185809 | 0.136463 | 0.092503 | 0 | 0.005224 | 0.19993 | 28,470 | 601 | 217 | 47.371048 | 0.760778 | 0.018792 | 0 | 0.127049 | 0 | 0.004098 | 0.171925 | 0.025099 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067623 | false | 0.012295 | 0.014344 | 0.006148 | 0.131148 | 0.022541 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a439fafd82d5aa8cd5f33e7668e9b80a3b2590de | 740 | py | Python | Arduino.py | dvcsciencealliance/vertical-farming-raspberry-pi | 58ca9d9677b9eb9251ff5b07cef3bd34bd11a178 | [
"MIT"
] | 5 | 2019-05-13T21:46:01.000Z | 2021-11-15T10:30:55.000Z | Arduino.py | dvcsciencealliance/vertical-farming-raspberry-pi | 58ca9d9677b9eb9251ff5b07cef3bd34bd11a178 | [
"MIT"
] | null | null | null | Arduino.py | dvcsciencealliance/vertical-farming-raspberry-pi | 58ca9d9677b9eb9251ff5b07cef3bd34bd11a178 | [
"MIT"
] | 3 | 2017-05-04T21:17:43.000Z | 2018-01-29T20:34:57.000Z | import time
import serial
from Sensor import *
class Arduino:
BaudRate = 9600
def __init__(self, specs):
self.name = specs['name']
self.port = specs['port']
self.ser = serial.Serial(self.port, timeout=2)
self.sensors = [Sensor.makeSensor(s)for s in specs['sensors']]
sel... | 24.666667 | 70 | 0.563514 | 95 | 740 | 4.347368 | 0.442105 | 0.050847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021654 | 0.313514 | 740 | 29 | 71 | 25.517241 | 0.791339 | 0 | 0 | 0 | 0 | 0 | 0.021622 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.130435 | 0.043478 | 0.434783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a43a8a2442407e60f6d58636889003043e11690c | 2,716 | py | Python | ymir/backend/src/ymir-controller/controller/invoker/invoker_task_copy.py | elliotmessi/ymir | 3ec8145a1f894778116eb5218de223f6dd805b70 | [
"Apache-2.0"
] | null | null | null | ymir/backend/src/ymir-controller/controller/invoker/invoker_task_copy.py | elliotmessi/ymir | 3ec8145a1f894778116eb5218de223f6dd805b70 | [
"Apache-2.0"
] | null | null | null | ymir/backend/src/ymir-controller/controller/invoker/invoker_task_copy.py | elliotmessi/ymir | 3ec8145a1f894778116eb5218de223f6dd805b70 | [
"Apache-2.0"
] | null | null | null | import logging
import os
from typing import Dict
from controller.invoker.invoker_task_base import TaskBaseInvoker
from controller.utils import utils
from id_definition.error_codes import CTLResponseCode
from proto import backend_pb2
class TaskCopyInvoker(TaskBaseInvoker):
def task_pre_invoke(self, sandbox_root: ... | 48.5 | 109 | 0.641753 | 333 | 2,716 | 4.888889 | 0.27027 | 0.081081 | 0.060197 | 0.03317 | 0.344595 | 0.28317 | 0.28317 | 0.28317 | 0.28317 | 0.244472 | 0 | 0.004059 | 0.2743 | 2,716 | 55 | 110 | 49.381818 | 0.821918 | 0 | 0 | 0.173913 | 0 | 0 | 0.074374 | 0.02025 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.152174 | 0.021739 | 0.391304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a43dd40cc07d8072ff6bb89e915bbbbd9aedea90 | 1,124 | py | Python | web/ask/ask/urls.py | artemsprygin/nginx-conf | f4f5fe0486d309619c5157a3ce690064b9850fd0 | [
"MIT"
] | null | null | null | web/ask/ask/urls.py | artemsprygin/nginx-conf | f4f5fe0486d309619c5157a3ce690064b9850fd0 | [
"MIT"
] | null | null | null | web/ask/ask/urls.py | artemsprygin/nginx-conf | f4f5fe0486d309619c5157a3ce690064b9850fd0 | [
"MIT"
] | 1 | 2021-07-27T17:35:56.000Z | 2021-07-27T17:35:56.000Z | """ask URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vie... | 37.466667 | 78 | 0.668149 | 173 | 1,124 | 4.323699 | 0.375723 | 0.042781 | 0.020053 | 0.032086 | 0.156417 | 0.156417 | 0.100267 | 0 | 0 | 0 | 0 | 0.008556 | 0.168149 | 1,124 | 30 | 79 | 37.466667 | 0.791444 | 0.589858 | 0 | 0 | 0 | 0 | 0.197778 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a43f90a0bae76d7994937a72ad1940d58309ef25 | 7,443 | py | Python | src/cascade/executor/dismod_runner.py | skspoon/cascade | 00534bd7e2558b880dfeb2e8bb2248a104ba6083 | [
"MIT"
] | null | null | null | src/cascade/executor/dismod_runner.py | skspoon/cascade | 00534bd7e2558b880dfeb2e8bb2248a104ba6083 | [
"MIT"
] | null | null | null | src/cascade/executor/dismod_runner.py | skspoon/cascade | 00534bd7e2558b880dfeb2e8bb2248a104ba6083 | [
"MIT"
] | null | null | null | """
This stage runs Dismod-AT. Dismod gets called in very similar ways.
Let's look at them in order to narrow down configuration of this
stage.::
dismod_at database init
dismod_at database fit <variables>
dismod_at database fit <variables> <simulate_index>
dismod_at database set option <name> <value>
di... | 35.783654 | 119 | 0.680908 | 1,060 | 7,443 | 4.640566 | 0.309434 | 0.027648 | 0.032527 | 0.011588 | 0.135597 | 0.114861 | 0.114861 | 0.078471 | 0.045538 | 0.036999 | 0 | 0.002821 | 0.238076 | 7,443 | 207 | 120 | 35.956522 | 0.864574 | 0.530834 | 0 | 0.082192 | 0 | 0 | 0.147628 | 0.033084 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082192 | false | 0.013699 | 0.054795 | 0 | 0.178082 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a43fdd0da98368699ded07907d0510b59fd1edbd | 617 | py | Python | rpython/translator/platform/arch/test/test_s390x.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 381 | 2018-08-18T03:37:22.000Z | 2022-02-06T23:57:36.000Z | rpython/translator/platform/arch/test/test_s390x.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 16 | 2018-09-22T18:12:47.000Z | 2022-02-22T20:03:59.000Z | rpython/translator/platform/arch/test/test_s390x.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 55 | 2015-08-16T02:41:30.000Z | 2022-03-20T20:33:35.000Z | import py
import platform
from rpython.translator.platform.arch.s390x import (s390x_cpu_revision,
extract_s390x_cpu_ids)
if platform.machine() != 's390x':
py.test.skip("s390x tests only")
def test_cpuid_s390x():
revision = s390x_cpu_revision()
assert revision != 'unknown', 'the model you are runni... | 26.826087 | 81 | 0.65154 | 80 | 617 | 4.8375 | 0.5625 | 0.082687 | 0.082687 | 0.093023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083857 | 0.226904 | 617 | 22 | 82 | 28.045455 | 0.727463 | 0 | 0 | 0 | 0 | 0 | 0.256911 | 0 | 0 | 0 | 0.011382 | 0 | 0.117647 | 1 | 0.117647 | false | 0 | 0.176471 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4459b0fbafee95c54aac59a2ffccbbf009eddf7 | 502 | py | Python | assignments/02_sum/sum.py | michaelandrewblum/be434-fall-2021 | 5c2281a99ece283e7ee7d1873708efbef473f3d3 | [
"MIT"
] | null | null | null | assignments/02_sum/sum.py | michaelandrewblum/be434-fall-2021 | 5c2281a99ece283e7ee7d1873708efbef473f3d3 | [
"MIT"
] | null | null | null | assignments/02_sum/sum.py | michaelandrewblum/be434-fall-2021 | 5c2281a99ece283e7ee7d1873708efbef473f3d3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Purpose: Sum any number of inputted integers together.
import argparse
def get_args():
parser = argparse.ArgumentParser(description='Add numbers')
parser.add_argument('integers', metavar='INT', type=int, nargs='+',
help='Numbers to add')
return parser.parse... | 27.888889 | 73 | 0.635458 | 61 | 502 | 5.032787 | 0.639344 | 0.045603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002525 | 0.211155 | 502 | 18 | 74 | 27.888889 | 0.772727 | 0.151394 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.083333 | 0 | 0.333333 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a44700a1f4cbe5d05ab638e44bb80fe2126da8f7 | 940 | py | Python | batch3/outputs/Alens_degeneracies.py | sjoudaki/CosmoJBD | 3c1d029b74034b92cb2974de15e4c18637a5277e | [
"MIT"
] | null | null | null | batch3/outputs/Alens_degeneracies.py | sjoudaki/CosmoJBD | 3c1d029b74034b92cb2974de15e4c18637a5277e | [
"MIT"
] | null | null | null | batch3/outputs/Alens_degeneracies.py | sjoudaki/CosmoJBD | 3c1d029b74034b92cb2974de15e4c18637a5277e | [
"MIT"
] | null | null | null | import planckStyle as s
g = s.getSubplotPlotter()
roots = ['base_Alens_plikHM_TT_lowl_lowE', 'base_Alens_plikHM_TTTEEE_lowl_lowE', 'base_plikHM_TTTEEE_lowl_lowE',
'base_Alens_CamSpecHM_TTTEEE_lowl_lowE']
for i, root in enumerate(roots):
samples = g.getSamples(root)
p = samples.getParams()
samples.... | 49.473684 | 118 | 0.620213 | 129 | 940 | 4.333333 | 0.527132 | 0.057245 | 0.064401 | 0.064401 | 0.193202 | 0.107335 | 0.107335 | 0.107335 | 0.107335 | 0.107335 | 0 | 0.014342 | 0.184043 | 940 | 18 | 119 | 52.222222 | 0.714472 | 0 | 0 | 0 | 0 | 0 | 0.329787 | 0.167021 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a448be34e5e9ec9f19e29113bb213defc64c3da8 | 17,495 | py | Python | pymatgen/analysis/path_finder.py | adozier/pymatgen | f1cc4d8db24ec11063be2fd84b4ea911f006eeb7 | [
"MIT"
] | null | null | null | pymatgen/analysis/path_finder.py | adozier/pymatgen | f1cc4d8db24ec11063be2fd84b4ea911f006eeb7 | [
"MIT"
] | null | null | null | pymatgen/analysis/path_finder.py | adozier/pymatgen | f1cc4d8db24ec11063be2fd84b4ea911f006eeb7 | [
"MIT"
] | 1 | 2018-10-28T01:41:38.000Z | 2018-10-28T01:41:38.000Z |
"""
This module finds diffusion paths through a structure based on a given potential field.
If you use PathFinder algorithm for your research, please consider citing the following work:
Ziqin Rong, Daniil Kitchaev, Pieremanuele Canepa, Wenxuan Huang, Gerbrand Ceder,
The Journal of Chemical Physics 145 (7), 074... | 46.405836 | 157 | 0.603658 | 2,527 | 17,495 | 4.012663 | 0.199842 | 0.010848 | 0.004734 | 0.004734 | 0.220907 | 0.171795 | 0.145562 | 0.101874 | 0.089152 | 0.089152 | 0 | 0.027406 | 0.295056 | 17,495 | 376 | 158 | 46.529255 | 0.794778 | 0.359417 | 0 | 0.173077 | 0 | 0 | 0.02718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.086538 | 0 | 0.216346 | 0.019231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a44b0dc8fca4c0b10f05e699512cb5275897d550 | 1,388 | py | Python | doc/kubernetes/example.py | nlnjnj/ray | 8a829fbdcb09b30af27d09d372b53ed86fdacfaf | [
"Apache-2.0"
] | null | null | null | doc/kubernetes/example.py | nlnjnj/ray | 8a829fbdcb09b30af27d09d372b53ed86fdacfaf | [
"Apache-2.0"
] | null | null | null | doc/kubernetes/example.py | nlnjnj/ray | 8a829fbdcb09b30af27d09d372b53ed86fdacfaf | [
"Apache-2.0"
] | null | null | null | import os
import sys
import time
from collections import Counter
import ray
@ray.remote
def get_hostname(x):
import platform
import time
time.sleep(0.01)
return x + (platform.node(),)
def wait_for_nodes(expected):
# Wait for all nodes to join the cluster.
while True:
num_nodes = len... | 25.703704 | 101 | 0.623919 | 193 | 1,388 | 4.331606 | 0.481865 | 0.050239 | 0.052632 | 0.038278 | 0.047847 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013739 | 0.26585 | 1,388 | 53 | 102 | 26.188679 | 0.806673 | 0.146254 | 0 | 0.131579 | 0 | 0 | 0.172735 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0 | 0.184211 | 0 | 0.289474 | 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 |
a44bdb80ae36c700d7a3190615830ddbcb5d0287 | 2,563 | py | Python | dataset_builder/domain/dataset_builder_script_service.py | statisticsnorway/microdata-dataset-builder | c58fe5804f146290e1d523536729f1a5b1ac2c73 | [
"Apache-2.0"
] | null | null | null | dataset_builder/domain/dataset_builder_script_service.py | statisticsnorway/microdata-dataset-builder | c58fe5804f146290e1d523536729f1a5b1ac2c73 | [
"Apache-2.0"
] | 3 | 2022-01-18T15:21:49.000Z | 2022-03-07T13:49:03.000Z | dataset_builder/domain/dataset_builder_script_service.py | statisticsnorway/microdata-dataset-builder | c58fe5804f146290e1d523536729f1a5b1ac2c73 | [
"Apache-2.0"
] | null | null | null | import logging
from dataset_builder.exceptions.exceptions import (
BuilderStepError
)
from dataset_builder.adapter import dataset_adapter
from dataset_builder.steps import (
dataset_validator,
dataset_converter,
dataset_transformer,
dataset_enricher,
dataset_mover,
directory_cleaner
)
from ... | 30.152941 | 79 | 0.712446 | 286 | 2,563 | 6.01049 | 0.216783 | 0.083188 | 0.066899 | 0.069808 | 0.534031 | 0.510762 | 0.510762 | 0.46655 | 0.411867 | 0.411867 | 0 | 0 | 0.218884 | 2,563 | 84 | 80 | 30.511905 | 0.858641 | 0.02341 | 0 | 0.34375 | 0 | 0 | 0.112 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.109375 | 0 | 0.140625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4513608264b5ef5fadbdb3f5d4972dad1c038cb | 8,235 | py | Python | chap05/ConvolutionalLayer.py | viekie/basic_deeplearning | 6c9e55cd621504da3d7ea1627e6783c9819a1916 | [
"Apache-2.0"
] | 3 | 2017-05-23T08:11:44.000Z | 2017-09-25T11:17:57.000Z | chap05/ConvolutionalLayer.py | viekie/basic_deeplearning | 6c9e55cd621504da3d7ea1627e6783c9819a1916 | [
"Apache-2.0"
] | null | null | null | chap05/ConvolutionalLayer.py | viekie/basic_deeplearning | 6c9e55cd621504da3d7ea1627e6783c9819a1916 | [
"Apache-2.0"
] | 1 | 2017-06-19T03:36:40.000Z | 2017-06-19T03:36:40.000Z | #!/usr/bin/env python
# -*- coding:utf8 -*-
# Power by viekie. 2017-05-27 08:35:06
import numpy as np
import Filter
class ConvolutionalLayer(object):
def __init__(self, input_width, input_height, channel_number,
filter_width, filter_height, filter_number, zero_padding,
stride, ac... | 39.401914 | 79 | 0.548877 | 867 | 8,235 | 4.94579 | 0.178777 | 0.069963 | 0.026119 | 0.01959 | 0.288479 | 0.189832 | 0.105177 | 0.064366 | 0 | 0 | 0 | 0.011355 | 0.369035 | 8,235 | 208 | 80 | 39.591346 | 0.813895 | 0.07796 | 0 | 0.084507 | 0 | 0 | 0.001213 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091549 | false | 0 | 0.014085 | 0.007042 | 0.169014 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a451da894d989b6d53bdd9a5869aaa0646748dae | 4,521 | py | Python | src/thunder/text_processing/transform.py | rbracco/thunder-speech | 2b16abf1a14438b1174c168ad8252ad869f31139 | [
"MIT"
] | 8 | 2021-01-26T23:19:51.000Z | 2022-03-02T23:18:46.000Z | src/thunder/text_processing/transform.py | rbracco/thunder-speech | 2b16abf1a14438b1174c168ad8252ad869f31139 | [
"MIT"
] | 27 | 2021-01-28T06:50:11.000Z | 2022-02-27T08:21:12.000Z | src/thunder/text_processing/transform.py | rbracco/thunder-speech | 2b16abf1a14438b1174c168ad8252ad869f31139 | [
"MIT"
] | 3 | 2021-05-06T21:04:23.000Z | 2021-08-09T13:24:50.000Z | # This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Copyright (c) 2021 scart97
__all__ = ["BatchTextTransformer", "TextTransformConfig"]
from dataclasses import dataclass
from typing import List, Optional
import torch
from torch import nn
fro... | 35.880952 | 140 | 0.639681 | 524 | 4,521 | 5.389313 | 0.360687 | 0.032224 | 0.03187 | 0.017705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002166 | 0.285114 | 4,521 | 125 | 141 | 36.168 | 0.871287 | 0.337094 | 0 | 0 | 0 | 0 | 0.048313 | 0.019893 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.102941 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a454242a5d2a6fda9bc26f402c83e116c412e094 | 19,801 | py | Python | experiments/book_comparison.py | LasLitz/ma-doc-embeddings | e6edbb64a766b7906179b0cb767606c6f65cddb9 | [
"MIT"
] | 1 | 2022-01-10T20:29:42.000Z | 2022-01-10T20:29:42.000Z | experiments/book_comparison.py | LasLitz/ma-doc-embeddings | e6edbb64a766b7906179b0cb767606c6f65cddb9 | [
"MIT"
] | null | null | null | experiments/book_comparison.py | LasLitz/ma-doc-embeddings | e6edbb64a766b7906179b0cb767606c6f65cddb9 | [
"MIT"
] | null | null | null | import os
from collections import defaultdict
import random
from typing import Dict, List
import pandas as pd
from scipy.stats import stats
from lib2vec.corpus_structure import Corpus
from experiments.predicting_high_rated_books import mcnemar_sig_text, chi_square_test
from lib2vec.vectorization import Vectorizer
fro... | 44.697517 | 121 | 0.55477 | 2,129 | 19,801 | 4.757163 | 0.121184 | 0.049763 | 0.029621 | 0.01876 | 0.56872 | 0.498321 | 0.43049 | 0.411532 | 0.374803 | 0.340344 | 0 | 0.030798 | 0.340791 | 19,801 | 442 | 122 | 44.798643 | 0.745116 | 0.248321 | 0 | 0.410714 | 0 | 0 | 0.092655 | 0.027016 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0.010714 | 0.039286 | 0 | 0.067857 | 0.053571 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a45592f450830cd65a28e51d131d98bb598da933 | 12,729 | py | Python | armi/physics/neutronics/parameters.py | crisobg1/armi | 38d9febdbec7ab8a67dd9b8e50780e11ea127022 | [
"Apache-2.0"
] | 1 | 2020-10-14T15:18:11.000Z | 2020-10-14T15:18:11.000Z | armi/physics/neutronics/parameters.py | crisobg1/Framework | 87b56c2cf286b75e7cc2c02a1e2886d6ce3037b8 | [
"Apache-2.0"
] | null | null | null | armi/physics/neutronics/parameters.py | crisobg1/Framework | 87b56c2cf286b75e7cc2c02a1e2886d6ce3037b8 | [
"Apache-2.0"
] | 1 | 2020-08-26T09:02:06.000Z | 2020-08-26T09:02:06.000Z | # Copyright 2019 TerraPower, 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 30.895631 | 164 | 0.569723 | 1,229 | 12,729 | 5.891782 | 0.274207 | 0.080099 | 0.018782 | 0.033145 | 0.410441 | 0.341389 | 0.243198 | 0.184919 | 0.17028 | 0.116973 | 0 | 0.008225 | 0.331369 | 12,729 | 411 | 165 | 30.970803 | 0.842557 | 0.089402 | 0 | 0.44164 | 0 | 0.003155 | 0.283824 | 0.007266 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012618 | false | 0 | 0.015773 | 0 | 0.037855 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a456f12f0c4a167d3c083c3079f270b436ec245d | 1,768 | py | Python | Software/Backend/app/controllers/Persona.py | davidsgv/Sistemas-Transaccionales | a26904742bd163461aca7e8039448441b4a98fb9 | [
"MIT"
] | null | null | null | Software/Backend/app/controllers/Persona.py | davidsgv/Sistemas-Transaccionales | a26904742bd163461aca7e8039448441b4a98fb9 | [
"MIT"
] | null | null | null | Software/Backend/app/controllers/Persona.py | davidsgv/Sistemas-Transaccionales | a26904742bd163461aca7e8039448441b4a98fb9 | [
"MIT"
] | null | null | null | from flask import Blueprint, jsonify, request
from flask_cors import cross_origin
#Model
from app.model.Persona import Persona
from app.model.Usuario import ManejoUsuarios
persona = Blueprint('persona', __name__, url_prefix="/persona/")
#listar todas las Personas
@persona.route("list", methods=["POST"])
@cross_ori... | 26.787879 | 64 | 0.635181 | 184 | 1,768 | 6.048913 | 0.326087 | 0.116801 | 0.143756 | 0.121294 | 0.554358 | 0.458221 | 0.405211 | 0.331536 | 0.331536 | 0.331536 | 0 | 0 | 0.234729 | 1,768 | 66 | 65 | 26.787879 | 0.822616 | 0.117081 | 0 | 0.604651 | 0 | 0 | 0.14157 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.069767 | false | 0 | 0.093023 | 0 | 0.395349 | 0.046512 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a458419f6584ac4036e6240f20d87f28078e862b | 947 | py | Python | sieve.py | rigewo02/rsa | 10736f695931ca835600410cd3f89b4f93b1e8e3 | [
"MIT"
] | null | null | null | sieve.py | rigewo02/rsa | 10736f695931ca835600410cd3f89b4f93b1e8e3 | [
"MIT"
] | null | null | null | sieve.py | rigewo02/rsa | 10736f695931ca835600410cd3f89b4f93b1e8e3 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import sys
import random
import math
def sieve(n):
# Every number is assumed prime except 0 and 1
numbers = [False, False] + [True] * (n-2)
print("Numbers appended")
for i in range(int(math.sqrt(n))+1):
if not numbers[i]:
continue # Do not do a... | 23.097561 | 78 | 0.548046 | 132 | 947 | 3.871212 | 0.44697 | 0.041096 | 0.023483 | 0.043053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023438 | 0.324182 | 947 | 40 | 79 | 23.675 | 0.775 | 0.279831 | 0 | 0.08 | 0 | 0 | 0.074405 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.12 | 0 | 0.24 | 0.16 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4591e8c5e0a7f2482e3823831464176b3c6732c | 1,136 | py | Python | tests/api_tests/search/test_fetch_platsannons.py | JobtechSwe/castaway | e0917511b20152f0bd7e2802b73a0beae30a96f5 | [
"Apache-2.0"
] | null | null | null | tests/api_tests/search/test_fetch_platsannons.py | JobtechSwe/castaway | e0917511b20152f0bd7e2802b73a0beae30a96f5 | [
"Apache-2.0"
] | null | null | null | tests/api_tests/search/test_fetch_platsannons.py | JobtechSwe/castaway | e0917511b20152f0bd7e2802b73a0beae30a96f5 | [
"Apache-2.0"
] | null | null | null | import sys
import os
import requests
import pytest
from tests.test_resources.helper import get_with_path_return_json
from tests.test_resources.settings import SEARCH_URL
@pytest.mark.smoke
@pytest.mark.integration
def test_fetch_ad_by_id( session):
"""
Get an ad by a request to /search without a query,and li... | 31.555556 | 89 | 0.724472 | 178 | 1,136 | 4.342697 | 0.410112 | 0.025873 | 0.042691 | 0.065977 | 0.283312 | 0.178525 | 0.093144 | 0 | 0 | 0 | 0 | 0.048269 | 0.161092 | 1,136 | 35 | 90 | 32.457143 | 0.762854 | 0.1875 | 0 | 0.095238 | 0 | 0 | 0.140156 | 0.072303 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.095238 | false | 0 | 0.285714 | 0 | 0.380952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a45c6a40589988b06217c130fc291b75cbb96b4e | 2,835 | py | Python | dmaap/tests/test_consulif.py | onap/dcaegen2-platform-plugins | 64131311ba1d01ff7d20bca0c14d30a006b2e712 | [
"Apache-2.0",
"CC-BY-4.0"
] | 1 | 2020-07-14T14:22:04.000Z | 2020-07-14T14:22:04.000Z | dmaap/tests/test_consulif.py | alex-sh2020/dcaegen2-platform-plugins | c5abb9b34468400bdcdd3ce23595af41ac03cd80 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | dmaap/tests/test_consulif.py | alex-sh2020/dcaegen2-platform-plugins | c5abb9b34468400bdcdd3ce23595af41ac03cd80 | [
"Apache-2.0",
"CC-BY-4.0"
] | 1 | 2020-07-14T19:02:05.000Z | 2020-07-14T19:02:05.000Z | # ============LICENSE_START=======================================================
# org.onap.dcae
# ================================================================================
# Copyright (c) 2017-2020 AT&T Intellectual Property. All rights reserved.
# =============================================================... | 38.835616 | 105 | 0.639153 | 358 | 2,835 | 4.874302 | 0.435754 | 0.044126 | 0.027507 | 0.018338 | 0.093983 | 0.093983 | 0.093983 | 0.066476 | 0.066476 | 0.066476 | 0 | 0.013119 | 0.16649 | 2,835 | 72 | 106 | 39.375 | 0.725349 | 0.45679 | 0 | 0.171429 | 0 | 0 | 0.21004 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0.028571 | 0.114286 | 0 | 0.171429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a463318d48a23200b05fe5c478703327af0250c6 | 5,411 | py | Python | utils/transforms.py | zdaiot/NAIC-Person-Re-identification | 762be875b68e85fbaab8b7730b5a857bfcc9e218 | [
"MIT"
] | null | null | null | utils/transforms.py | zdaiot/NAIC-Person-Re-identification | 762be875b68e85fbaab8b7730b5a857bfcc9e218 | [
"MIT"
] | null | null | null | utils/transforms.py | zdaiot/NAIC-Person-Re-identification | 762be875b68e85fbaab8b7730b5a857bfcc9e218 | [
"MIT"
] | null | null | null | import math
import random
import numpy as np
import torchvision.transforms as T
from albumentations import (
Compose, HorizontalFlip, VerticalFlip, CLAHE, RandomRotate90, HueSaturationValue,
RandomBrightness, RandomContrast, RandomGamma, OneOf,
ToFloat, ShiftScaleRotate, GridDistortion, ElasticTransform, Jp... | 32.993902 | 108 | 0.577342 | 655 | 5,411 | 4.615267 | 0.30229 | 0.007278 | 0.011578 | 0.013232 | 0.137281 | 0.111479 | 0.102878 | 0.064175 | 0.014555 | 0 | 0 | 0.038661 | 0.321198 | 5,411 | 163 | 109 | 33.196319 | 0.784372 | 0.135834 | 0 | 0.106796 | 0 | 0 | 0.01041 | 0.006866 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067961 | false | 0 | 0.097087 | 0 | 0.262136 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a46426c4091f69e2bafaff6462b464224cf7d8e8 | 382 | py | Python | Day-017-MoreOOPS/main.py | codefather91/100DaysOfPython | 7c27e0b1af7b73c8fefdd8e3bd73f092ea665868 | [
"MIT"
] | null | null | null | Day-017-MoreOOPS/main.py | codefather91/100DaysOfPython | 7c27e0b1af7b73c8fefdd8e3bd73f092ea665868 | [
"MIT"
] | null | null | null | Day-017-MoreOOPS/main.py | codefather91/100DaysOfPython | 7c27e0b1af7b73c8fefdd8e3bd73f092ea665868 | [
"MIT"
] | null | null | null | from question_model import Question
from data import question_data
from quiz_brain import QuizBrain
question_bank = []
for question in question_data:
question_bank.append(Question(question['text'], question['answer']))
quiz = QuizBrain(question_bank)
while quiz.still_has_question():
quiz.next_question()
pr... | 25.466667 | 72 | 0.777487 | 52 | 382 | 5.519231 | 0.480769 | 0.125436 | 0.146341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.120419 | 382 | 15 | 73 | 25.466667 | 0.854167 | 0 | 0 | 0 | 0 | 0 | 0.167102 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.3 | 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 |
a464c2d34843871e0b098c7eded073e73e59a58c | 1,655 | py | Python | using_result.py | takat0m0/pix2pix | f6b0277fdd4bc98581db8cfd6dd6a039baf5e349 | [
"MIT"
] | 3 | 2017-02-09T14:26:12.000Z | 2017-02-20T03:21:26.000Z | using_result.py | takat0m0/pix2pix | f6b0277fdd4bc98581db8cfd6dd6a039baf5e349 | [
"MIT"
] | null | null | null | using_result.py | takat0m0/pix2pix | f6b0277fdd4bc98581db8cfd6dd6a039baf5e349 | [
"MIT"
] | null | null | null | #! -*- coding:utf-8 -*-
import os
import sys
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import cv2
from Model import Model
from util import get_figs, dump_figs
class FigGenerator(object):
def __init__(self, file_name, z_dim, batch_size):
self.batch_size = batch_size
... | 27.583333 | 79 | 0.64713 | 246 | 1,655 | 4.097561 | 0.325203 | 0.098214 | 0.051587 | 0.03869 | 0.144841 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0.028906 | 0.226586 | 1,655 | 59 | 80 | 28.050847 | 0.758594 | 0.076133 | 0 | 0 | 0 | 0 | 0.068376 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 1 | 0.052632 | false | 0 | 0.210526 | 0 | 0.315789 | 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 |
a465cded6b282420fb15a7a55e99a0790dcca303 | 1,300 | py | Python | prob_calculator.py | ZaatarX/probability-calculator | ae077db1eb435864ac5070c38d5794bccd0c92b8 | [
"MIT"
] | null | null | null | prob_calculator.py | ZaatarX/probability-calculator | ae077db1eb435864ac5070c38d5794bccd0c92b8 | [
"MIT"
] | null | null | null | prob_calculator.py | ZaatarX/probability-calculator | ae077db1eb435864ac5070c38d5794bccd0c92b8 | [
"MIT"
] | null | null | null | import copy
import random
# Consider using the modules imported above.
class Hat:
def __init__(self, **kwargs) -> None:
self.set_contents(**kwargs)
def set_contents(self, **kwargs):
contents = []
for key in kwargs:
for n in range(kwargs[key]):
contents.app... | 26 | 70 | 0.539231 | 150 | 1,300 | 4.566667 | 0.34 | 0.040876 | 0.026277 | 0.048175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009756 | 0.369231 | 1,300 | 49 | 71 | 26.530612 | 0.82561 | 0.05 | 0 | 0.108108 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108108 | false | 0 | 0.054054 | 0 | 0.27027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a46624d14c9284368d486f5789d1189343a38de8 | 7,309 | py | Python | naivenmt/layers/transformer.py | luozhouyang/tf-nmt-keras | bcceeec0a477eb09c4a8915e638a27dae6c95562 | [
"Apache-2.0"
] | 7 | 2018-09-10T03:49:06.000Z | 2020-06-15T06:10:28.000Z | naivenmt/layers/transformer.py | luozhouyang/tf-nmt-keras | bcceeec0a477eb09c4a8915e638a27dae6c95562 | [
"Apache-2.0"
] | 1 | 2019-02-18T10:01:44.000Z | 2019-02-18T10:01:44.000Z | naivenmt/layers/transformer.py | luozhouyang/tf-nmt-keras | bcceeec0a477eb09c4a8915e638a27dae6c95562 | [
"Apache-2.0"
] | 1 | 2018-09-15T05:49:31.000Z | 2018-09-15T05:49:31.000Z | # Copyright 2018 luozhouyang
#
# 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, ... | 32.198238 | 95 | 0.629224 | 1,077 | 7,309 | 4.17363 | 0.220984 | 0.011568 | 0.05673 | 0.035595 | 0.283426 | 0.205562 | 0.156174 | 0.125028 | 0.07564 | 0.054283 | 0 | 0.015423 | 0.237105 | 7,309 | 226 | 96 | 32.340708 | 0.79071 | 0.405117 | 0 | 0.16129 | 0 | 0 | 0.032491 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075269 | false | 0 | 0.021505 | 0 | 0.172043 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4696c2f89e7bc7a526efb0d4e80f4d3b7b63062 | 5,700 | py | Python | sudoku/models.py | mpilkou/django_code | 08e42ef3cdbbcdd9050e591fd97b0d8be060df6b | [
"Apache-2.0"
] | null | null | null | sudoku/models.py | mpilkou/django_code | 08e42ef3cdbbcdd9050e591fd97b0d8be060df6b | [
"Apache-2.0"
] | null | null | null | sudoku/models.py | mpilkou/django_code | 08e42ef3cdbbcdd9050e591fd97b0d8be060df6b | [
"Apache-2.0"
] | null | null | null | from django.db import models
from typing import List, Tuple
from django.core.exceptions import ValidationError
# Create your models here.
class Sudoku(models.Model):
puzzle_creation_date = models.DateField(verbose_name = 'creation date', help_text= 'puzzle creation date', auto_now=True, auto_now_add=False)
... | 41.605839 | 146 | 0.666842 | 692 | 5,700 | 5.138728 | 0.140173 | 0.077334 | 0.053993 | 0.074241 | 0.544994 | 0.497469 | 0.435602 | 0.395669 | 0.328178 | 0.119235 | 0 | 0.018799 | 0.234737 | 5,700 | 136 | 147 | 41.911765 | 0.796424 | 0.004211 | 0 | 0.141509 | 0 | 0 | 0.059041 | 0.003701 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066038 | false | 0 | 0.037736 | 0.009434 | 0.358491 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a46a6612483e49119e42e59a73001ccaee6e6e4f | 3,999 | py | Python | src/dbspro/cli/correctfastq.py | FrickTobias/iSeq | 3732de7716e2d379e9a4d7060dd4797fd1955ac4 | [
"MIT"
] | 1 | 2021-01-18T13:04:04.000Z | 2021-01-18T13:04:04.000Z | src/dbspro/cli/correctfastq.py | FrickTobias/iSeq | 3732de7716e2d379e9a4d7060dd4797fd1955ac4 | [
"MIT"
] | 27 | 2019-06-19T16:38:48.000Z | 2021-11-16T09:50:50.000Z | src/dbspro/cli/correctfastq.py | FrickTobias/DBSpro | 3732de7716e2d379e9a4d7060dd4797fd1955ac4 | [
"MIT"
] | 1 | 2020-02-06T10:23:00.000Z | 2020-02-06T10:23:00.000Z | """
Correct FASTQ/FASTA with the corrected sequences from starcode clustering
"""
from collections import defaultdict
import logging
import os
import statistics
from pathlib import Path
from typing import Iterator, Tuple, List, Set, Dict
import dnaio
from tqdm import tqdm
from xopen import xopen
from dbspro.utils imp... | 32.512195 | 117 | 0.656164 | 500 | 3,999 | 5.1 | 0.304 | 0.047059 | 0.026667 | 0.030588 | 0.068235 | 0.019608 | 0 | 0 | 0 | 0 | 0 | 0.002621 | 0.236809 | 3,999 | 122 | 118 | 32.778689 | 0.832896 | 0.022256 | 0 | 0.043478 | 0 | 0.01087 | 0.188621 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.108696 | 0 | 0.206522 | 0.01087 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a46b76b7d31855db7ddb1a13d8f3e3d37eeece53 | 27,058 | py | Python | pythonFiles/ASCA_Functions.py | huangysh/ASCA_Cluster | 3f7ff5df514cbe48730ba0634abe7f9726d3b98e | [
"MIT"
] | null | null | null | pythonFiles/ASCA_Functions.py | huangysh/ASCA_Cluster | 3f7ff5df514cbe48730ba0634abe7f9726d3b98e | [
"MIT"
] | null | null | null | pythonFiles/ASCA_Functions.py | huangysh/ASCA_Cluster | 3f7ff5df514cbe48730ba0634abe7f9726d3b98e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# **********************************************************************************************************************
# MIT License
# Copyright (c) 2020 School of Environmental Science and Engineering, Shanghai Jiao Tong University
# Permission is hereby granted, free of charge, to any per... | 30.888128 | 120 | 0.594131 | 2,636 | 27,058 | 6.078907 | 0.241654 | 0.007988 | 0.011608 | 0.011233 | 0.102659 | 0.055417 | 0.037194 | 0.026023 | 0.019346 | 0.019346 | 0 | 0.015076 | 0.259664 | 27,058 | 875 | 121 | 30.923429 | 0.784595 | 0.25874 | 0 | 0.177778 | 0 | 0 | 0.05089 | 0.018697 | 0.002222 | 0 | 0 | 0.002286 | 0 | 1 | 0.08 | false | 0 | 0.013333 | 0.002222 | 0.191111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a46c23843edc73519673ebfe146fa5d2ec8aa8a4 | 7,000 | py | Python | legacy/notebooks/Language Model - BPE.py | ceshine/modern_chinese_nlp | e1d5941f381431ac114f440472d3e0f976437777 | [
"MIT"
] | 42 | 2018-08-21T05:31:18.000Z | 2021-08-30T02:00:05.000Z | legacy/notebooks/Language Model - BPE.py | ceshine/modern_chinese_nlp | e1d5941f381431ac114f440472d3e0f976437777 | [
"MIT"
] | null | null | null | legacy/notebooks/Language Model - BPE.py | ceshine/modern_chinese_nlp | e1d5941f381431ac114f440472d3e0f976437777 | [
"MIT"
] | 7 | 2018-08-21T09:04:17.000Z | 2021-03-28T06:25:28.000Z |
# coding: utf-8
# In[1]:
import sys
sys.path.append("../")
# In[2]:
from pathlib import Path
from functools import partial
import joblib
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from fastai.text import LanguageModelLoader, LanguageModelData
from fastai.core i... | 17.5 | 129 | 0.618286 | 1,140 | 7,000 | 3.688596 | 0.263158 | 0.021403 | 0.011415 | 0.017122 | 0.437812 | 0.384542 | 0.354102 | 0.329132 | 0.322949 | 0.322949 | 0 | 0.049648 | 0.208714 | 7,000 | 399 | 130 | 17.54386 | 0.709514 | 0.145429 | 0 | 0.293706 | 0 | 0 | 0.090046 | 0.011192 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020979 | false | 0 | 0.125874 | 0 | 0.153846 | 0.020979 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a46caa769bacecd220bd2803dcc01b740d0f7a7d | 2,576 | py | Python | controller/components/badger.py | cclauss/flight-lab | d2dfcc842391c287970b14e470f209665a233b59 | [
"Apache-2.0"
] | 15 | 2018-10-18T07:50:46.000Z | 2021-10-21T03:40:55.000Z | controller/components/badger.py | cclauss/flight-lab | d2dfcc842391c287970b14e470f209665a233b59 | [
"Apache-2.0"
] | 9 | 2018-09-17T23:00:02.000Z | 2019-01-22T21:08:04.000Z | controller/components/badger.py | cclauss/flight-lab | d2dfcc842391c287970b14e470f209665a233b59 | [
"Apache-2.0"
] | 12 | 2019-01-07T12:43:37.000Z | 2021-10-21T03:40:44.000Z | # Copyright 2018 Flight Lab authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 33.025641 | 125 | 0.727873 | 336 | 2,576 | 5.41369 | 0.440476 | 0.038483 | 0.030786 | 0.028037 | 0.186916 | 0.120396 | 0 | 0 | 0 | 0 | 0 | 0.006585 | 0.174689 | 2,576 | 77 | 126 | 33.454545 | 0.849012 | 0.332298 | 0 | 0.194444 | 0 | 0 | 0.078115 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.138889 | 0 | 0.305556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a470aba9fce332f6e5b9f8335122d8eef4080e8a | 1,332 | py | Python | adhoc.py | oudmane/excelcy | 25263d16db0cda24fe66ab3d52ff08a770117dc1 | [
"MIT"
] | 99 | 2018-07-19T17:32:26.000Z | 2022-02-01T18:10:57.000Z | adhoc.py | oudmane/excelcy | 25263d16db0cda24fe66ab3d52ff08a770117dc1 | [
"MIT"
] | 15 | 2018-07-20T01:34:32.000Z | 2020-08-25T09:14:28.000Z | adhoc.py | oudmane/excelcy | 25263d16db0cda24fe66ab3d52ff08a770117dc1 | [
"MIT"
] | 11 | 2018-07-20T03:30:29.000Z | 2021-12-14T22:38:23.000Z | from excelcy import ExcelCy
from excelcy.storage import Config
# test_string = 'Android Pay expands to Canada'
# excelcy = ExcelCy()
# excelcy.storage.config = Config(nlp_base='en_core_web_sm', train_iteration=50, train_drop=0.2)
# doc = excelcy.nlp(test_string)
# # showing no ORG
# print([(ent.label_, ent.text) for e... | 40.363636 | 148 | 0.720721 | 192 | 1,332 | 4.875 | 0.348958 | 0.059829 | 0.055556 | 0.068376 | 0.479701 | 0.403846 | 0.403846 | 0.403846 | 0.403846 | 0.403846 | 0 | 0.010101 | 0.108108 | 1,332 | 32 | 149 | 41.625 | 0.777778 | 0.70045 | 0 | 0.5 | 0 | 0 | 0.226316 | 0.073684 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 |
a4756366de9ce838849093fa734c08d1d1fc9abf | 4,978 | py | Python | lambda/frequencyQueries.py | NickStrick/Code-Challenges | b6c13357783d3b556e90349ccc6f9bb568a3531d | [
"MIT"
] | null | null | null | lambda/frequencyQueries.py | NickStrick/Code-Challenges | b6c13357783d3b556e90349ccc6f9bb568a3531d | [
"MIT"
] | null | null | null | lambda/frequencyQueries.py | NickStrick/Code-Challenges | b6c13357783d3b556e90349ccc6f9bb568a3531d | [
"MIT"
] | null | null | null | # https://youtu.be/O3HBd0ICJ2M
# defaultdict is the same as normal dictionaries, except a defaultdict
# sets a default value if a key has not been set yet; this is mostly
# for convenience
from collections import defaultdict
def freqQuery(queries):
val_counts = defaultdict(int)
freq_counts = defaultdict(int)... | 37.712121 | 87 | 0.546203 | 647 | 4,978 | 4.117465 | 0.228748 | 0.082583 | 0.045045 | 0.037162 | 0.43994 | 0.375375 | 0.340841 | 0.322072 | 0.260511 | 0.260511 | 0 | 0.021535 | 0.337686 | 4,978 | 131 | 88 | 38 | 0.786473 | 0.724387 | 0 | 0.275862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.034483 | 0 | 0.103448 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a475dd4e9e3743b42f2405054585911fbb5f8a22 | 1,663 | py | Python | char-rnn-name-classification/train.py | StanleyLsx/practical-pytorch | ccc9ebad47ca6763c04dbb8574769cfe3f1acdde | [
"MIT"
] | null | null | null | char-rnn-name-classification/train.py | StanleyLsx/practical-pytorch | ccc9ebad47ca6763c04dbb8574769cfe3f1acdde | [
"MIT"
] | 2 | 2021-06-08T22:12:46.000Z | 2022-01-13T03:11:10.000Z | char-rnn-name-classification/train.py | StanleyLsx/practical-pytorch | ccc9ebad47ca6763c04dbb8574769cfe3f1acdde | [
"MIT"
] | null | null | null | from data import *
from model import *
import time
import math
n_hidden = 128
n_epochs = 100000
print_every = 5000
plot_every = 1000
learning_rate = 0.005 # If you set this too high, it might explode. If too low, it might not learn
rnn = RNN(n_letters, n_hidden, n_categories)
optimizer = torch.optim.SGD(rnn.paramet... | 25.584615 | 99 | 0.657246 | 246 | 1,663 | 4.296748 | 0.422764 | 0.047304 | 0.051088 | 0.068117 | 0.054872 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027907 | 0.224293 | 1,663 | 64 | 100 | 25.984375 | 0.789922 | 0.113049 | 0 | 0.046512 | 0 | 0 | 0.04966 | 0.021088 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.093023 | 0 | 0.186047 | 0.069767 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4774d5aae891207d351e4416da7e1e5f7ee2c3e | 8,623 | py | Python | flow_models/elephants/plot.py | piotrjurkiewicz/flow_stats | cc97a8381275cb9dd23ed0c3432abffaf4198431 | [
"MIT"
] | 9 | 2019-07-08T09:53:22.000Z | 2021-11-19T07:50:11.000Z | flow_models/elephants/plot.py | ElsevierSoftwareX/SOFTX-D-21-00003 | cc97a8381275cb9dd23ed0c3432abffaf4198431 | [
"MIT"
] | 1 | 2021-02-23T16:01:21.000Z | 2021-04-03T02:06:32.000Z | flow_models/elephants/plot.py | ElsevierSoftwareX/SOFTX-D-21-00003 | cc97a8381275cb9dd23ed0c3432abffaf4198431 | [
"MIT"
] | 5 | 2019-09-27T14:52:54.000Z | 2022-01-25T07:58:24.000Z | #!/usr/bin/python3
import argparse
import collections
import pathlib
import matplotlib.pyplot as plt
import matplotlib.ticker
import numpy as np
import pandas as pd
from flow_models.elephants.calculate import calculate
from flow_models.lib.data import UNITS
from flow_models.lib.plot import save_figure, matplotlib_con... | 37.491304 | 108 | 0.542851 | 1,111 | 8,623 | 4.080108 | 0.212421 | 0.030885 | 0.035297 | 0.02934 | 0.404368 | 0.311493 | 0.286565 | 0.262299 | 0.239576 | 0.173395 | 0 | 0.022705 | 0.305346 | 8,623 | 229 | 109 | 37.655022 | 0.734057 | 0.001971 | 0 | 0.275862 | 0 | 0 | 0.129111 | 0.002789 | 0 | 0 | 0 | 0 | 0.009852 | 1 | 0.034483 | false | 0 | 0.049261 | 0 | 0.083744 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4782f2535bfc86b20dfc387ade673021d013c90 | 2,088 | py | Python | multiview/db/saxs_v2/db_config.py | bsmind/react-multisciview | 613dbe327542d0384e5d6b87697a05db17f42ca8 | [
"MIT"
] | null | null | null | multiview/db/saxs_v2/db_config.py | bsmind/react-multisciview | 613dbe327542d0384e5d6b87697a05db17f42ca8 | [
"MIT"
] | null | null | null | multiview/db/saxs_v2/db_config.py | bsmind/react-multisciview | 613dbe327542d0384e5d6b87697a05db17f42ca8 | [
"MIT"
] | 1 | 2020-08-28T16:27:15.000Z | 2020-08-28T16:27:15.000Z | MONGODB_CONFIG = {
'ROOT': '/Users/scott/Documents/Work/bnl/MultiView/pyServer/data/saxs/',
# mongo db set-up
'DB': {
#'HOST': 'visws.csi.bnl.gov',
'HOST': 'localhost',
'PORT': 27017,
'NAME': 'multiview_saxs_v2',
'COLLECTION': 'saxs_v2'
},
# parsing xml file... | 22.212766 | 86 | 0.45546 | 202 | 2,088 | 4.584158 | 0.613861 | 0.022678 | 0.036717 | 0.034557 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012598 | 0.391762 | 2,088 | 93 | 87 | 22.451613 | 0.716535 | 0.210728 | 0 | 0.112903 | 0 | 0 | 0.358063 | 0.082158 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a479239492621d9e94b74d01d6b7559292d39674 | 415 | py | Python | ch06/hw06_03/hw06_03.py | z2x3c4v5bz/pybook_wenlongtsai_etc | 0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a | [
"MIT"
] | 4 | 2021-06-12T07:51:22.000Z | 2021-12-20T11:35:12.000Z | ch06/hw06_03/hw06_03.py | z2x3c4v5bz/pybook_wenlongtsai_etc | 0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a | [
"MIT"
] | null | null | null | ch06/hw06_03/hw06_03.py | z2x3c4v5bz/pybook_wenlongtsai_etc | 0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a | [
"MIT"
] | 1 | 2021-11-08T03:36:43.000Z | 2021-11-08T03:36:43.000Z | # hw06_03
import random
def makesentence():
subjects = ['Dog', 'Cat', 'Monkey', 'Pig', 'Fox']
verbs = ['walks', 'runs', 'jumps']
advs = ['slowly', 'quickly']
print('%s %s %s.' % (random.choice(subjects), random.choice(verbs), random.choice(advs)))
for i in range(5):
makesentence()
'''
Cat walk... | 17.291667 | 93 | 0.624096 | 53 | 415 | 4.867925 | 0.509434 | 0.139535 | 0.131783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014837 | 0.187952 | 415 | 23 | 94 | 18.043478 | 0.750742 | 0.016867 | 0 | 0 | 0 | 0 | 0.180602 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.25 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a47acd60891c08f70a65acabe0a7b03b7c1a3a1f | 1,482 | py | Python | dci/api/v1/audits.py | redhat-cip/dci-control-server | 6dee30e7b8770fde2466f2b09554d299a3f3db4d | [
"Apache-2.0"
] | 17 | 2016-09-02T09:21:29.000Z | 2021-09-27T11:33:58.000Z | dci/api/v1/audits.py | redhat-cip/dci-control-server | 6dee30e7b8770fde2466f2b09554d299a3f3db4d | [
"Apache-2.0"
] | 80 | 2015-12-09T09:29:26.000Z | 2021-01-06T08:24:22.000Z | dci/api/v1/audits.py | redhat-cip/dci-control-server | 6dee30e7b8770fde2466f2b09554d299a3f3db4d | [
"Apache-2.0"
] | 10 | 2015-09-29T21:34:53.000Z | 2021-09-27T11:34:01.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2015-2016 Red Hat, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 30.244898 | 75 | 0.695682 | 217 | 1,482 | 4.64977 | 0.529954 | 0.059465 | 0.025768 | 0.031715 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014346 | 0.200405 | 1,482 | 48 | 76 | 30.875 | 0.837131 | 0.388664 | 0 | 0 | 0 | 0 | 0.057303 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.269231 | 0 | 0.346154 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a47ad8b5997995620bf43529f5fc03e2a2cb0078 | 1,017 | py | Python | app/app.py | jaswged/die-detector-api | 249ce50ac340e73a3ce05a2c7ed4f5874a002ab9 | [
"MIT"
] | null | null | null | app/app.py | jaswged/die-detector-api | 249ce50ac340e73a3ce05a2c7ed4f5874a002ab9 | [
"MIT"
] | 2 | 2020-01-07T04:17:58.000Z | 2020-01-08T01:21:30.000Z | app/app.py | jaswged/die-detector-api | 249ce50ac340e73a3ce05a2c7ed4f5874a002ab9 | [
"MIT"
] | null | null | null | # Common python package imports.
from flask import Flask, jsonify, request, render_template
from fastai.vision import *
# Initialize the app and set a secret_key.
app = Flask(__name__)
app.secret_key = 'something_secret'
# Load the pickled model.
defaults.device = torch.device('cpu')
path = '.'
learn = load_learner(p... | 24.804878 | 63 | 0.654867 | 137 | 1,017 | 4.664234 | 0.547445 | 0.065728 | 0.062598 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009685 | 0.187807 | 1,017 | 40 | 64 | 25.425 | 0.763923 | 0.093412 | 0 | 0 | 0 | 0 | 0.131808 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.076923 | 0.076923 | 0.307692 | 0.115385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a47af5d98f82e7d880c1857ba14e7365fcae7341 | 651 | py | Python | junopy/entities/pix.py | robertons/junopy | 1acc64ab99d8ea49bb0dac979cd34da43541f243 | [
"MIT"
] | 3 | 2021-07-12T15:05:13.000Z | 2022-01-31T03:35:43.000Z | junopy/entities/pix.py | robertons/junopy | 1acc64ab99d8ea49bb0dac979cd34da43541f243 | [
"MIT"
] | 2 | 2022-01-29T20:14:51.000Z | 2022-02-07T16:16:24.000Z | junopy/entities/pix.py | robertons/junopy | 1acc64ab99d8ea49bb0dac979cd34da43541f243 | [
"MIT"
] | 1 | 2022-02-01T18:36:10.000Z | 2022-02-01T18:36:10.000Z | # -*- coding: utf-8 -*-
from .lib import *
class Pix(JunoEntity):
def __init__(cls, **kw):
cls.__metadata__ = {}
# FIELDS
cls.id = String(max=80)
cls.key = String(max=80)
cls.type = String(max=80)
cls.includeImage = Boolean()
cls.payloadInBase64 = String(... | 25.038462 | 54 | 0.574501 | 69 | 651 | 5.246377 | 0.536232 | 0.124309 | 0.121547 | 0.154696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03871 | 0.285714 | 651 | 25 | 55 | 26.04 | 0.739785 | 0.043011 | 0 | 0 | 0 | 0 | 0.009677 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a47e22c2a0cc7d55c5e439122397bc64272708be | 11,203 | py | Python | rstring/__init__.py | phantie/mutable-string | 3a944528e777aecdec0ff8d6cc09585a8543874b | [
"MIT"
] | null | null | null | rstring/__init__.py | phantie/mutable-string | 3a944528e777aecdec0ff8d6cc09585a8543874b | [
"MIT"
] | null | null | null | rstring/__init__.py | phantie/mutable-string | 3a944528e777aecdec0ff8d6cc09585a8543874b | [
"MIT"
] | null | null | null | from __future__ import annotations
from functools import partialmethod, wraps
from array import array
from typing import NewType, Union, Callable, Iterable, Generator, Type
from ruption import some, none
from take import take
__all__ = ('String',)
__version__ = '0.5.3'
def no_mut(f):
if __debug__:
@wrap... | 27.060386 | 114 | 0.560743 | 1,352 | 11,203 | 4.323225 | 0.152367 | 0.021386 | 0.032849 | 0.034217 | 0.355346 | 0.296664 | 0.253379 | 0.202224 | 0.154662 | 0.117023 | 0 | 0.003652 | 0.31563 | 11,203 | 414 | 115 | 27.060386 | 0.758706 | 0.005802 | 0 | 0.331269 | 0 | 0.003096 | 0.0481 | 0.001967 | 0 | 0 | 0 | 0 | 0.01548 | 1 | 0.19195 | false | 0 | 0.018576 | 0.03096 | 0.439628 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a47ea1f3b9daa8db7fc8245fb0cffd99591ee6a0 | 2,160 | py | Python | portfolio/Python/scrapy/outillage/conrad.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/outillage/conrad.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | null | null | null | portfolio/Python/scrapy/outillage/conrad.py | 0--key/lib | ba7a85dda2b208adc290508ca617bdc55a5ded22 | [
"Apache-2.0"
] | 5 | 2016-03-22T07:40:46.000Z | 2021-05-30T16:12:21.000Z | import re
import os
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse
from scrapy.utils.response import get_base_url
from scrapy.utils.url import urljoin_rfc
from urllib import urlencode
import hashlib
import csv
from product_spiders.item... | 36 | 99 | 0.635648 | 261 | 2,160 | 5.103448 | 0.363985 | 0.045045 | 0.03003 | 0.038288 | 0.219219 | 0.193694 | 0.172673 | 0.172673 | 0.121622 | 0.121622 | 0 | 0.009158 | 0.241667 | 2,160 | 60 | 100 | 36 | 0.804029 | 0.013889 | 0 | 0.130435 | 0 | 0 | 0.153738 | 0.071932 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.26087 | 0 | 0.434783 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4872bfc5ea2ebaa9569179a301218bcadb5ad3d | 8,965 | py | Python | old/old_another_small_jobshop_dwave_another_example.py | MiRudnik/quantum_optimization | 9c63c9164d9a8620d7610cc0576a1e3ee7319d98 | [
"MIT"
] | null | null | null | old/old_another_small_jobshop_dwave_another_example.py | MiRudnik/quantum_optimization | 9c63c9164d9a8620d7610cc0576a1e3ee7319d98 | [
"MIT"
] | null | null | null | old/old_another_small_jobshop_dwave_another_example.py | MiRudnik/quantum_optimization | 9c63c9164d9a8620d7610cc0576a1e3ee7319d98 | [
"MIT"
] | 1 | 2021-07-13T21:50:53.000Z | 2021-07-13T21:50:53.000Z | import numpy as np
# Set Q for the problem QUBO
from utils.jobshop_helpers import get_machine_and_time_slot, get_operation_length, is_last_row, get_qubits_from_slot_and_machine, \
get_time_slot
def main():
# qubo_matrix = np.zeros((40,40))
jobs = [[2, 1], [1,2]]
j_flat = []
for job in jobs:
j_fla... | 46.21134 | 139 | 0.62164 | 1,298 | 8,965 | 4.026194 | 0.128659 | 0.065825 | 0.068886 | 0.026789 | 0.497321 | 0.368733 | 0.309606 | 0.250287 | 0.216992 | 0.216992 | 0 | 0.092547 | 0.232236 | 8,965 | 193 | 140 | 46.450777 | 0.666715 | 0.353374 | 0 | 0.14 | 0 | 0 | 0.013082 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07 | false | 0 | 0.02 | 0 | 0.15 | 0.06 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a48740f19c411c12d63473995b985326be58c92a | 425 | py | Python | sensors/TemperaturaDHT11.py | tec-csf/reto-iot-en-supermercado-2019-nova-iot-supermarket | 0eb643132478a06477404dcd86c4359869ec7d81 | [
"MIT"
] | 1 | 2019-10-28T14:58:14.000Z | 2019-10-28T14:58:14.000Z | sensors/TemperaturaDHT11.py | tec-csf/reto-iot-en-supermercado-2019-nova-iot-supermarket | 0eb643132478a06477404dcd86c4359869ec7d81 | [
"MIT"
] | null | null | null | sensors/TemperaturaDHT11.py | tec-csf/reto-iot-en-supermercado-2019-nova-iot-supermarket | 0eb643132478a06477404dcd86c4359869ec7d81 | [
"MIT"
] | null | null | null | import Adafruit_DHT
sensor = Adafruit_DHT.DHT11
pin_temp = 3
def temperatura(pin_temp):
temperature = 0
if (temperature <=22):
humidity, temperature = Adafruit_DHT.read_retry(sensor, pin_temp)
if humidity is not None and temperature is not None:
print('Temp={0:0.1f}*C Humidity={1:0.... | 38.636364 | 86 | 0.663529 | 59 | 425 | 4.661017 | 0.559322 | 0.12 | 0.065455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036585 | 0.228235 | 425 | 11 | 87 | 38.636364 | 0.801829 | 0 | 0 | 0 | 0 | 0 | 0.159624 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.181818 | 0.181818 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a48881351fb66e53f1af28f4da440b46709db632 | 2,428 | py | Python | N-MOS_transistor_by_Python/I-V_Characteristics_n-MOSFET.py | yasser296/Python-Projects | eae3598e2d4faf08d9def92c8b417c2e7946c5f4 | [
"MIT"
] | null | null | null | N-MOS_transistor_by_Python/I-V_Characteristics_n-MOSFET.py | yasser296/Python-Projects | eae3598e2d4faf08d9def92c8b417c2e7946c5f4 | [
"MIT"
] | null | null | null | N-MOS_transistor_by_Python/I-V_Characteristics_n-MOSFET.py | yasser296/Python-Projects | eae3598e2d4faf08d9def92c8b417c2e7946c5f4 | [
"MIT"
] | null | null | null | from numpy import arange
from matplotlib import pyplot , figure
# Kn = Kn' * W/L 4
Kn=1e-3
# Vth is th threshold voltagee
Vth = 1.5
# Sweep drain to source voltge from 0 to 12V
Vds = arange(0, 12, 0.1).tolist()
Vgs = [4 , 6 , 8 , 10 ]
Id = list() # Drain Current Id (A)
for I in range(1,len(Vgs)+1) :
Id.append... | 22.90566 | 119 | 0.639209 | 415 | 2,428 | 3.650602 | 0.293976 | 0.023762 | 0.032343 | 0.021782 | 0.129373 | 0.106271 | 0.067987 | 0.056766 | 0.056766 | 0 | 0 | 0.045158 | 0.17916 | 2,428 | 105 | 120 | 23.12381 | 0.715003 | 0.189456 | 0 | 0.072727 | 0 | 0 | 0.083419 | 0.012873 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.036364 | 0 | 0.036364 | 0.109091 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a488bfa5aa832da083db4e6b51c66de316b8a1a6 | 7,652 | py | Python | mods/default/client/gui/game_overlays.py | mpbagot/hsc-major-project-code | eaa69bf566b5b34ae7d4aa78504f97576fa2bb1c | [
"MIT"
] | 4 | 2018-04-17T11:55:06.000Z | 2021-02-25T16:03:47.000Z | mods/default/client/gui/game_overlays.py | mpbagot/mata | eaa69bf566b5b34ae7d4aa78504f97576fa2bb1c | [
"MIT"
] | null | null | null | mods/default/client/gui/game_overlays.py | mpbagot/mata | eaa69bf566b5b34ae7d4aa78504f97576fa2bb1c | [
"MIT"
] | null | null | null | """
game_overlays.py
A module containing the GUI overlays of the default client game
"""
# Import the Modding API
from api.gui.gui import *
from api.gui.objects import *
from api.colour import *
from api.packets import SendCommandPacket
# Import stuff from the mod modules
from mods.default.client.gui.extras import *
f... | 40.062827 | 127 | 0.595792 | 958 | 7,652 | 4.719207 | 0.263048 | 0.075205 | 0.030967 | 0.02787 | 0.304357 | 0.210573 | 0.201504 | 0.16921 | 0.076753 | 0.072329 | 0 | 0.080835 | 0.267642 | 7,652 | 190 | 128 | 40.273684 | 0.72591 | 0.122321 | 0 | 0.151261 | 0 | 0 | 0.035463 | 0.017208 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07563 | false | 0.008403 | 0.05042 | 0 | 0.159664 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a488cd89e65f252e4c293f2398293943079200dc | 11,362 | py | Python | JumpscaleLib/tools/docsite/Doc.py | threefoldtech/jumpscale_lib9 | 03c1451133d777e5af106fcc6f75c1138bb997f2 | [
"Apache-2.0"
] | null | null | null | JumpscaleLib/tools/docsite/Doc.py | threefoldtech/jumpscale_lib9 | 03c1451133d777e5af106fcc6f75c1138bb997f2 | [
"Apache-2.0"
] | 220 | 2018-07-29T08:37:17.000Z | 2019-08-05T15:01:27.000Z | JumpscaleLib/tools/docsite/Doc.py | threefoldtech/jumpscale_lib9 | 03c1451133d777e5af106fcc6f75c1138bb997f2 | [
"Apache-2.0"
] | 1 | 2018-08-20T09:16:08.000Z | 2018-08-20T09:16:08.000Z | from .Link import Link
from jumpscale import j
import toml
import copy
JSBASE = j.application.jsbase_get_class()
class Doc(JSBASE):
"""
"""
def __init__(self, path, name, docsite):
JSBASE.__init__(self)
self.path = path
self.docsite = docsite
self.cat = ""
if "/... | 33.417647 | 114 | 0.535557 | 1,378 | 11,362 | 4.285922 | 0.177794 | 0.021673 | 0.008127 | 0.006773 | 0.255842 | 0.219777 | 0.198273 | 0.174738 | 0.142736 | 0.113613 | 0 | 0.004175 | 0.346506 | 11,362 | 339 | 115 | 33.516224 | 0.791246 | 0.135011 | 0 | 0.209205 | 0 | 0.004184 | 0.065052 | 0.005847 | 0 | 0 | 0 | 0.00295 | 0 | 1 | 0.108787 | false | 0 | 0.020921 | 0.016736 | 0.259414 | 0.012552 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a48bcd95f6ff3785768fc221bb5436bed3d1d5bd | 1,937 | py | Python | tally_ho/apps/tally/views/reports/races.py | crononauta/tally-ho | ba2207bfaef27bee3ff13a393983ca493f767238 | [
"Apache-2.0"
] | null | null | null | tally_ho/apps/tally/views/reports/races.py | crononauta/tally-ho | ba2207bfaef27bee3ff13a393983ca493f767238 | [
"Apache-2.0"
] | null | null | null | tally_ho/apps/tally/views/reports/races.py | crononauta/tally-ho | ba2207bfaef27bee3ff13a393983ca493f767238 | [
"Apache-2.0"
] | null | null | null | from django.views.generic import TemplateView
from guardian.mixins import LoginRequiredMixin
from tally_ho.libs.views.exports import valid_ballots
from tally_ho.libs.permissions import groups
from tally_ho.libs.reports import progress as p
from tally_ho.libs.views import mixins
class RacesReportView(LoginRequiredMix... | 33.396552 | 64 | 0.587506 | 199 | 1,937 | 5.507538 | 0.39196 | 0.051095 | 0.040146 | 0.054745 | 0.036496 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003053 | 0.323696 | 1,937 | 57 | 65 | 33.982456 | 0.833588 | 0 | 0 | 0 | 0 | 0 | 0.083634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.130435 | 0 | 0.282609 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a48e2876e063fca41404c9b42cd9234687e02f29 | 1,251 | py | Python | psono/restapi/serializers/share_right_accept.py | dirigeant/psono-server | a18c5b3c4d8bbbe4ecf1615b210d99fb77752205 | [
"Apache-2.0",
"CC0-1.0"
] | 48 | 2018-04-19T15:50:58.000Z | 2022-01-23T15:58:11.000Z | psono/restapi/serializers/share_right_accept.py | dirigeant/psono-server | a18c5b3c4d8bbbe4ecf1615b210d99fb77752205 | [
"Apache-2.0",
"CC0-1.0"
] | 9 | 2018-09-13T14:56:18.000Z | 2020-01-17T16:44:33.000Z | psono/restapi/serializers/share_right_accept.py | dirigeant/psono-server | a18c5b3c4d8bbbe4ecf1615b210d99fb77752205 | [
"Apache-2.0",
"CC0-1.0"
] | 11 | 2019-09-20T11:53:47.000Z | 2021-07-18T22:41:31.000Z | from django.utils.translation import ugettext_lazy as _
from rest_framework import serializers, exceptions
from ..fields import UUIDField
from ..models import User_Share_Right
class ShareRightAcceptSerializer(serializers.Serializer):
share_right_id = UUIDField(required=True)
key = serializers.CharField(max_... | 40.354839 | 132 | 0.718625 | 160 | 1,251 | 5.39375 | 0.4625 | 0.115875 | 0.097335 | 0.100811 | 0.17613 | 0.17613 | 0.17613 | 0 | 0 | 0 | 0 | 0.007937 | 0.194245 | 1,251 | 31 | 133 | 40.354839 | 0.848214 | 0 | 0 | 0.090909 | 0 | 0.045455 | 0.159744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.181818 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a48f32363a4214c8c84b8ccdfb70d7f2134e405c | 3,086 | py | Python | nb_cli/prompts/input.py | cdlaimin/nb-cli | b428a9a24091c072accedbeee56064c6a3cfd15a | [
"MIT"
] | 88 | 2020-10-02T07:16:06.000Z | 2022-03-30T01:24:36.000Z | nb_cli/prompts/input.py | cdlaimin/nb-cli | b428a9a24091c072accedbeee56064c6a3cfd15a | [
"MIT"
] | 13 | 2021-01-28T03:14:35.000Z | 2022-01-15T11:47:21.000Z | nb_cli/prompts/input.py | cdlaimin/nb-cli | b428a9a24091c072accedbeee56064c6a3cfd15a | [
"MIT"
] | 11 | 2021-03-11T15:12:23.000Z | 2022-01-13T10:09:18.000Z | from typing import Callable, Optional
from prompt_toolkit.styles import Style
from prompt_toolkit.buffer import Buffer
from prompt_toolkit.layout import Layout
from prompt_toolkit.lexers import SimpleLexer
from prompt_toolkit.application import get_app
from prompt_toolkit.enums import DEFAULT_BUFFER
from prompt_toolki... | 29.390476 | 75 | 0.571614 | 304 | 3,086 | 5.736842 | 0.315789 | 0.063073 | 0.107225 | 0.039564 | 0.036697 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00381 | 0.319507 | 3,086 | 104 | 76 | 29.673077 | 0.809524 | 0.053791 | 0 | 0.025 | 0 | 0 | 0.038128 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1125 | false | 0 | 0.1625 | 0.0125 | 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 |
a492c95951a23587cee545058f4a9aba5d476ad7 | 4,880 | py | Python | IMU/VTK-6.2.0/IO/Geometry/Testing/Python/motor.py | timkrentz/SunTracker | 9a189cc38f45e5fbc4e4c700d7295a871d022795 | [
"MIT"
] | 4 | 2016-03-30T14:31:52.000Z | 2019-02-02T05:01:32.000Z | IMU/VTK-6.2.0/IO/Geometry/Testing/Python/motor.py | timkrentz/SunTracker | 9a189cc38f45e5fbc4e4c700d7295a871d022795 | [
"MIT"
] | null | null | null | IMU/VTK-6.2.0/IO/Geometry/Testing/Python/motor.py | timkrentz/SunTracker | 9a189cc38f45e5fbc4e4c700d7295a871d022795 | [
"MIT"
] | 2 | 2019-08-30T23:36:13.000Z | 2019-11-08T16:52:01.000Z | #!/usr/bin/env python
import vtk
from vtk.test import Testing
from vtk.util.misc import vtkGetDataRoot
VTK_DATA_ROOT = vtkGetDataRoot()
def GetRGBColor(colorName):
'''
Return the red, green and blue components for a
color as doubles.
'''
rgb = [0.0, 0.0, 0.0] # black
vtk.vt... | 28.208092 | 62 | 0.7625 | 522 | 4,880 | 7.095785 | 0.314176 | 0.012959 | 0.015389 | 0.015119 | 0.071544 | 0.070194 | 0.066415 | 0.012419 | 0 | 0 | 0 | 0.050577 | 0.112705 | 4,880 | 172 | 63 | 28.372093 | 0.80485 | 0.084836 | 0 | 0 | 0 | 0 | 0.029647 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008547 | false | 0 | 0.025641 | 0 | 0.042735 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4945675fa5668b6a6e7a48d03c92355e85e8193 | 3,787 | py | Python | Liver_disease/liver_prediction.py | R3DDY97/kaggle_kernels | 8a5a456612bdae712e58188d407714c7cfd04849 | [
"MIT"
] | null | null | null | Liver_disease/liver_prediction.py | R3DDY97/kaggle_kernels | 8a5a456612bdae712e58188d407714c7cfd04849 | [
"MIT"
] | null | null | null | Liver_disease/liver_prediction.py | R3DDY97/kaggle_kernels | 8a5a456612bdae712e58188d407714c7cfd04849 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import pandas as pd
# import numpy as np
from sklearn import (svm, preprocessing)
from sklearn.model_selection import train_test_split, KFold
from sklearn.metrics import (recall_score, precision_score, accuracy_score, confusion_matrix,)
#precision_recall_curve,auc,roc_auc_score,roc_curve,recall_... | 38.252525 | 97 | 0.686295 | 480 | 3,787 | 5.1875 | 0.3375 | 0.02249 | 0.031325 | 0.027309 | 0.219277 | 0.165462 | 0.08755 | 0.060241 | 0 | 0 | 0 | 0.015873 | 0.184843 | 3,787 | 98 | 98 | 38.642857 | 0.790735 | 0.40375 | 0 | 0 | 0 | 0 | 0.139189 | 0.069369 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.12766 | 0 | 0.170213 | 0.085106 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4951993c951ee5441f92978fa0bae320459a650 | 570 | py | Python | practicalnlp/settings.py | paulomann/practical-nlp-pytorch | 7c6b3612599a4d74bf8d1acdd8a8bd25446b526b | [
"MIT"
] | null | null | null | practicalnlp/settings.py | paulomann/practical-nlp-pytorch | 7c6b3612599a4d74bf8d1acdd8a8bd25446b526b | [
"MIT"
] | null | null | null | practicalnlp/settings.py | paulomann/practical-nlp-pytorch | 7c6b3612599a4d74bf8d1acdd8a8bd25446b526b | [
"MIT"
] | 1 | 2019-09-24T17:13:35.000Z | 2019-09-24T17:13:35.000Z | from os.path import dirname, join
ROOT = dirname(dirname(__file__))
DATA = join(ROOT, 'data')
TRAIN_DATA = join(DATA, 'sst2', 'stsa.binary.phrases.train')
VALIDATION_DATA = join(DATA, 'sst2', 'stsa.binary.dev')
TEST_DATA = join(DATA, 'sst2', 'stsa.binary.test')
PRETRAINED_EMBEDDINGS_FILE = join(DATA, 'GoogleNews-vecto... | 43.846154 | 77 | 0.738596 | 83 | 570 | 4.879518 | 0.361446 | 0.138272 | 0.177778 | 0.118519 | 0.377778 | 0.377778 | 0 | 0 | 0 | 0 | 0 | 0.017341 | 0.089474 | 570 | 13 | 78 | 43.846154 | 0.763006 | 0 | 0 | 0 | 0 | 0 | 0.336252 | 0.103328 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a495964d82d25e210cda079c174cec9fcd420d1c | 2,447 | py | Python | Tools/extract-sfc.py | Navasnaz/mib2-toolbox | 732f859d0dbb94dcf5c0d8388c959b7389a4c4f0 | [
"MIT"
] | 339 | 2019-09-18T21:46:50.000Z | 2022-03-31T07:50:04.000Z | Tools/extract-sfc.py | Navasnaz/mib2-toolbox | 732f859d0dbb94dcf5c0d8388c959b7389a4c4f0 | [
"MIT"
] | 188 | 2019-09-19T23:09:49.000Z | 2022-03-30T20:21:34.000Z | Tools/extract-sfc.py | Navasnaz/mib2-toolbox | 732f859d0dbb94dcf5c0d8388c959b7389a4c4f0 | [
"MIT"
] | 115 | 2019-09-19T19:49:15.000Z | 2022-03-12T21:10:00.000Z | # ----------------------------------------------------------
# --- Quick 'n' dirty CFF file extractor
#
# File: extract-sfc.py
# Author: Jille
# Revision: 1
# Purpose: MIB2 sfc file exporter
# Comments: Usage: extract-sfc.py <filename> <outdir>
# Changelog: First version
# -------------------... | 23.304762 | 115 | 0.591336 | 351 | 2,447 | 4.037037 | 0.390313 | 0.05928 | 0.01976 | 0.023289 | 0.079746 | 0.043754 | 0 | 0 | 0 | 0 | 0 | 0.02069 | 0.229669 | 2,447 | 104 | 116 | 23.528846 | 0.731034 | 0.251328 | 0 | 0 | 0 | 0 | 0.16097 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015625 | false | 0 | 0.09375 | 0 | 0.109375 | 0.109375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
a4991ee5bb3a8049313bf554b77dbf8520f3ded7 | 2,374 | py | Python | actions/lib/base.py | StackStorm-Exchange/powerdns | 13879e0e66b29a466d82c1077a1d4abde69c0d3e | [
"Apache-2.0"
] | null | null | null | actions/lib/base.py | StackStorm-Exchange/powerdns | 13879e0e66b29a466d82c1077a1d4abde69c0d3e | [
"Apache-2.0"
] | null | null | null | actions/lib/base.py | StackStorm-Exchange/powerdns | 13879e0e66b29a466d82c1077a1d4abde69c0d3e | [
"Apache-2.0"
] | 1 | 2021-12-01T14:49:27.000Z | 2021-12-01T14:49:27.000Z | # coding=utf-8
from st2common import log as logging
from st2common.runners.base_action import Action
from powerdns.exceptions import PDNSCanonicalError, PDNSError
import powerdns
__all__ = ["PowerDNSClient"]
LOG = logging.getLogger(__name__)
class PowerDNSClientError(Exception):
def __init__(self, message):
... | 28.95122 | 73 | 0.603201 | 267 | 2,374 | 5.116105 | 0.314607 | 0.061493 | 0.016105 | 0.019034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00299 | 0.295703 | 2,374 | 81 | 74 | 29.308642 | 0.813995 | 0.016428 | 0 | 0.081967 | 0 | 0 | 0.051887 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114754 | false | 0.032787 | 0.065574 | 0 | 0.262295 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |